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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
54afe8421a6919e6ea315d052ac2b1d84c0d0ecd | 387 | py | Python | model-creator.py | LouisRoss/spiking-model-packager | de75a923e7332b73cb7252300af91d4620b6e801 | [
"MIT"
] | null | null | null | model-creator.py | LouisRoss/spiking-model-packager | de75a923e7332b73cb7252300af91d4620b6e801 | [
"MIT"
] | null | null | null | model-creator.py | LouisRoss/spiking-model-packager | de75a923e7332b73cb7252300af91d4620b6e801 | [
"MIT"
] | null | null | null | import sys
import json
from h5model import h5model
if len(sys.argv) < 2:
print('Usage: ' + sys.argv[0] + ' ' + '<model name>')
exit(1)
modelName = sys.argv[1]
model = h5model(modelName)
model.createModel()
if model.responseStatus >= 400:
print("Unable to create model '" + modelName + "': " + model.errorMessage... | 22.764706 | 95 | 0.687339 | 51 | 387 | 5.215686 | 0.529412 | 0.078947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033846 | 0.160207 | 387 | 17 | 96 | 22.764706 | 0.784615 | 0 | 0 | 0.153846 | 0 | 0 | 0.121134 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.230769 | 0 | 0.230769 | 0.230769 | 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 |
54b2b1435e7c0cbedc57669a7f3b6443192e3d9f | 4,887 | py | Python | settings/base.py | anthill-gaming/media | cc3292be8bd83aba6054e420124adabcfa4e3a8b | [
"MIT"
] | 1 | 2018-11-30T21:56:14.000Z | 2018-11-30T21:56:14.000Z | settings/base.py | anthill-gaming/media | cc3292be8bd83aba6054e420124adabcfa4e3a8b | [
"MIT"
] | null | null | null | settings/base.py | anthill-gaming/media | cc3292be8bd83aba6054e420124adabcfa4e3a8b | [
"MIT"
] | null | null | null | from anthill.framework.utils.translation import translate_lazy as _
from anthill.platform.conf.settings import *
import os
# Build paths inside the application like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# SECURITY WARNING: keep the secret key used in ... | 27 | 108 | 0.529568 | 447 | 4,887 | 5.653244 | 0.407159 | 0.066878 | 0.071231 | 0.0926 | 0.247329 | 0.221211 | 0.20459 | 0.148397 | 0.04907 | 0 | 0 | 0.015882 | 0.278494 | 4,887 | 180 | 109 | 27.15 | 0.700794 | 0.095764 | 0 | 0.246377 | 0 | 0.007246 | 0.402365 | 0.115028 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.021739 | 0 | 0.021739 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
54b51b30bb070d1462b530e3aafb5daba4e65245 | 2,787 | py | Python | odmltables/gui/wizutils.py | fabianschlebusch/python-odmltables | 90a7833516afe8864b40947f4a1757830a0dc44c | [
"BSD-3-Clause"
] | 6 | 2017-10-27T16:59:53.000Z | 2021-03-02T06:08:48.000Z | odmltables/gui/wizutils.py | fabianschlebusch/python-odmltables | 90a7833516afe8864b40947f4a1757830a0dc44c | [
"BSD-3-Clause"
] | 68 | 2016-01-26T10:48:16.000Z | 2021-11-16T10:09:49.000Z | odmltables/gui/wizutils.py | fabianschlebusch/python-odmltables | 90a7833516afe8864b40947f4a1757830a0dc44c | [
"BSD-3-Clause"
] | 7 | 2015-11-24T12:40:18.000Z | 2021-04-14T08:02:53.000Z | # -*- coding: utf-8 -*-
import os, sys
from PyQt5.QtWidgets import (QWizard, QMessageBox)
from PyQt5.QtGui import QPixmap
from PyQt5.QtCore import pyqtSlot, Qt
try:
import odmltables
have_odmltables = True
except:
have_odmltables = False
from .settings import Settings
class OdmltablesWizard(QWizard):
... | 32.406977 | 86 | 0.588805 | 286 | 2,787 | 5.583916 | 0.458042 | 0.033813 | 0.031309 | 0.022542 | 0.038823 | 0.028804 | 0 | 0 | 0 | 0 | 0 | 0.006718 | 0.305705 | 2,787 | 85 | 87 | 32.788235 | 0.818605 | 0.164693 | 0 | 0 | 0 | 0 | 0.094723 | 0.019031 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078431 | false | 0 | 0.117647 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
54b6c94b65480166ee80c689e0b477e97f134499 | 25,440 | py | Python | trainLib.py | dorukb/ceng445-trainSim | 01af1c556dbce4e3f1c07fc16a21cd94cdeb7884 | [
"MIT"
] | null | null | null | trainLib.py | dorukb/ceng445-trainSim | 01af1c556dbce4e3f1c07fc16a21cd94cdeb7884 | [
"MIT"
] | null | null | null | trainLib.py | dorukb/ceng445-trainSim | 01af1c556dbce4e3f1c07fc16a21cd94cdeb7884 | [
"MIT"
] | null | null | null | import math
#constants and globals
background = '0'
NORTH = 0
EAST = 1
SOUTH = 2
WEST = 3
dirs = {0 : "NORTH", 1 : "EAST", 2 : "SOUTH", 3 : "WEST"}
class CellElement(): #CellELement Interface for the subclasses
#Subclasses: RegularRoad, Switch, LevelCrossing, Bridge, Station
def setPosition(self, x, y):
... | 39.564541 | 190 | 0.596502 | 3,172 | 25,440 | 4.772068 | 0.135246 | 0.030521 | 0.02114 | 0.024047 | 0.518597 | 0.487547 | 0.459536 | 0.44857 | 0.435291 | 0.408403 | 0 | 0.013682 | 0.313365 | 25,440 | 643 | 191 | 39.564541 | 0.852874 | 0.305149 | 0 | 0.697183 | 0 | 0 | 0.01764 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192488 | false | 0 | 0.002347 | 0.098592 | 0.420188 | 0.00939 | 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 |
54b7f3a8b8887e8d822b83c326d0049cfae95c7f | 25,083 | py | Python | nar_module/nar/preprocessing/nar_preprocess_cafebiz_2.py | 13520505/bigdataproj | 09202c7e13366726415b1111cc93d3083d102cb3 | [
"MIT"
] | null | null | null | nar_module/nar/preprocessing/nar_preprocess_cafebiz_2.py | 13520505/bigdataproj | 09202c7e13366726415b1111cc93d3083d102cb3 | [
"MIT"
] | 9 | 2020-01-28T23:07:43.000Z | 2022-02-10T00:36:23.000Z | nar_module/nar/preprocessing/nar_preprocess_cafebiz_2.py | 13520505/bigdataproj | 09202c7e13366726415b1111cc93d3083d102cb3 | [
"MIT"
] | null | null | null | import argparse
import glob
import json
import os
import os.path
import re
import sys
from collections import Counter, defaultdict
from datetime import datetime
from os import path
import numpy as np
import pandas as pd
import tensorflow as tf
from acr_module.acr.acr_module_service import get_all_file, load_json_conf... | 42.950342 | 176 | 0.670653 | 3,184 | 25,083 | 4.926193 | 0.142588 | 0.020402 | 0.028562 | 0.020593 | 0.486516 | 0.392031 | 0.336691 | 0.316863 | 0.311508 | 0.297354 | 0 | 0.012646 | 0.224455 | 25,083 | 583 | 177 | 43.024014 | 0.793657 | 0.214408 | 0 | 0.272472 | 0 | 0.005618 | 0.177642 | 0.065135 | 0 | 0 | 0 | 0.001715 | 0 | 1 | 0.061798 | false | 0.005618 | 0.058989 | 0.002809 | 0.171348 | 0.042135 | 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 |
54b9d0d77aa935ba65cfcd82b3fdde8db5a12f2f | 1,457 | py | Python | data/data_utils.py | ivankreso/LDN | 76740ef77fcec851f8abc2380251a9491dc0cdc3 | [
"MIT"
] | 8 | 2020-03-28T15:42:39.000Z | 2021-07-26T17:40:59.000Z | data/data_utils.py | ivankreso/LDN | 76740ef77fcec851f8abc2380251a9491dc0cdc3 | [
"MIT"
] | 1 | 2021-08-19T08:52:19.000Z | 2021-08-19T08:52:19.000Z | data/data_utils.py | ivankreso/LDN | 76740ef77fcec851f8abc2380251a9491dc0cdc3 | [
"MIT"
] | 1 | 2021-12-06T08:05:59.000Z | 2021-12-06T08:05:59.000Z | import math
def oversample(all_paths, per_class_split, oversample_ids, class_names):
union = set()
all_sum = 0
print('Oversample stats:')
print('Total images before =', len(all_paths[0]))
for i in oversample_ids:
duplicates = 1
print(f'id = {i} -> {class_names[i]} : num of oversampled =', len(per_cla... | 30.354167 | 90 | 0.680165 | 217 | 1,457 | 4.373272 | 0.313364 | 0.05058 | 0.054795 | 0.044257 | 0.103267 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012616 | 0.18394 | 1,457 | 47 | 91 | 31 | 0.785534 | 0 | 0 | 0.052632 | 0 | 0 | 0.095402 | 0 | 0 | 0 | 0 | 0 | 0.026316 | 1 | 0.131579 | false | 0 | 0.026316 | 0 | 0.210526 | 0.184211 | 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 |
54bbf057df21a564d7a670875ca4d351e87df738 | 1,181 | py | Python | src/leetcode_932_beautiful_array.py | sungho-joo/leetcode2github | ce7730ef40f6051df23681dd3c0e1e657abba620 | [
"MIT"
] | null | null | null | src/leetcode_932_beautiful_array.py | sungho-joo/leetcode2github | ce7730ef40f6051df23681dd3c0e1e657abba620 | [
"MIT"
] | null | null | null | src/leetcode_932_beautiful_array.py | sungho-joo/leetcode2github | ce7730ef40f6051df23681dd3c0e1e657abba620 | [
"MIT"
] | null | null | null | # @l2g 932 python3
# [932] Beautiful Array
# Difficulty: Medium
# https://leetcode.com/problems/beautiful-array
#
# An array nums of length n is beautiful if:
#
# nums is a permutation of the integers in the range [1, n].
# For every 0 <= i < j < n, there is no index k with i < k < j where 2 * nums[k] == nums[i] + nums... | 21.87037 | 102 | 0.556308 | 177 | 1,181 | 3.661017 | 0.463277 | 0.064815 | 0.033951 | 0.052469 | 0.055556 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043902 | 0.305673 | 1,181 | 53 | 103 | 22.283019 | 0.746341 | 0.458933 | 0 | 0 | 0 | 0 | 0.039216 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.166667 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
54bc883a34e91f4283ceaf8207e99c37307465c6 | 894 | py | Python | asynchronous/py27/asynchronous/producer_consumer/async_eventlet.py | fs714/concurrency-example | fbff041804b9c46fb7f21ebbae22acff745c7b0c | [
"Apache-2.0"
] | null | null | null | asynchronous/py27/asynchronous/producer_consumer/async_eventlet.py | fs714/concurrency-example | fbff041804b9c46fb7f21ebbae22acff745c7b0c | [
"Apache-2.0"
] | null | null | null | asynchronous/py27/asynchronous/producer_consumer/async_eventlet.py | fs714/concurrency-example | fbff041804b9c46fb7f21ebbae22acff745c7b0c | [
"Apache-2.0"
] | 1 | 2020-03-10T15:47:05.000Z | 2020-03-10T15:47:05.000Z | import eventlet
from eventlet.green import urllib2
import logging
logging.basicConfig()
logger = logging.getLogger(__file__)
logger.setLevel(logging.DEBUG)
def consumer(task_queue):
while True:
next_task = task_queue.get()
next_task()
task_queue.task_done()
class Task(object):
def _... | 21.285714 | 55 | 0.644295 | 119 | 894 | 4.546218 | 0.487395 | 0.116451 | 0.062847 | 0.062847 | 0.055453 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020619 | 0.240492 | 894 | 41 | 56 | 21.804878 | 0.776141 | 0 | 0 | 0 | 0 | 0 | 0.073826 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | 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 |
54bd473259faa4301d10d34795bb5bf05e6048e5 | 32,426 | py | Python | sysinv/sysinv/sysinv/sysinv/api/controllers/v1/controller_fs.py | etaivan/stx-config | 281e1f110973f96e077645fb01f67b646fc253cc | [
"Apache-2.0"
] | null | null | null | sysinv/sysinv/sysinv/sysinv/api/controllers/v1/controller_fs.py | etaivan/stx-config | 281e1f110973f96e077645fb01f67b646fc253cc | [
"Apache-2.0"
] | null | null | null | sysinv/sysinv/sysinv/sysinv/api/controllers/v1/controller_fs.py | etaivan/stx-config | 281e1f110973f96e077645fb01f67b646fc253cc | [
"Apache-2.0"
] | null | null | null | # vim: tabstop=4 shiftwidth=4 softtabstop=4
#
# Copyright 2013 UnitedStack Inc.
# 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/licen... | 40.481898 | 104 | 0.587923 | 3,616 | 32,426 | 4.97677 | 0.127765 | 0.080685 | 0.020004 | 0.01956 | 0.547733 | 0.498 | 0.453101 | 0.400144 | 0.371027 | 0.326184 | 0 | 0.004905 | 0.339851 | 32,426 | 800 | 105 | 40.5325 | 0.835794 | 0.112348 | 0 | 0.358929 | 0 | 0 | 0.124535 | 0.0118 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041071 | false | 0 | 0.035714 | 0.001786 | 0.135714 | 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 |
54bd765684733907c0e0f4fdff1bc9c5e51272ef | 1,298 | py | Python | tests/test_label_smoothing_ce.py | waking95/easy-bert | 576678343c251a134748941d1aa5e3368786337e | [
"MIT"
] | 12 | 2021-12-15T06:08:28.000Z | 2022-03-25T06:27:38.000Z | tests/test_label_smoothing_ce.py | waking95/easy-bert | 576678343c251a134748941d1aa5e3368786337e | [
"MIT"
] | null | null | null | tests/test_label_smoothing_ce.py | waking95/easy-bert | 576678343c251a134748941d1aa5e3368786337e | [
"MIT"
] | 1 | 2022-02-10T02:59:51.000Z | 2022-02-10T02:59:51.000Z | import unittest
import torch
from easy_bert.losses.label_smoothing_loss import LabelSmoothingCrossEntropy
class MyTestCase(unittest.TestCase):
def test(self):
print('test~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~')
lsce = LabelSmoothingCrossEntropy()
... | 36.055556 | 101 | 0.523112 | 135 | 1,298 | 4.851852 | 0.340741 | 0.012214 | 0.059542 | 0.050382 | 0.377099 | 0.377099 | 0.377099 | 0.334351 | 0.268702 | 0.268702 | 0 | 0.027053 | 0.202619 | 1,298 | 35 | 102 | 37.085714 | 0.605797 | 0.094761 | 0 | 0.37037 | 0 | 0 | 0.224786 | 0.215385 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.259259 | 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 |
54be3891db6fb2756f21aef061add0f576fa4d9b | 747 | py | Python | Algorithms/Sort/Merge Sort/src.py | NikhilCodes/DSA-Warehouse | f68c3c7c092dc624381e956b065f849d738b5359 | [
"MIT"
] | null | null | null | Algorithms/Sort/Merge Sort/src.py | NikhilCodes/DSA-Warehouse | f68c3c7c092dc624381e956b065f849d738b5359 | [
"MIT"
] | null | null | null | Algorithms/Sort/Merge Sort/src.py | NikhilCodes/DSA-Warehouse | f68c3c7c092dc624381e956b065f849d738b5359 | [
"MIT"
] | null | null | null | """
ALGORITHM : Merge Sort
WORST CASE => {
PERFORMANCE: O(n log(n))
SPACE: O(n)
}
"""
def merge_sort(arr):
size = len(arr)
if size == 1:
return arr
elif size == 2:
if arr[1] > arr[0]:
return [arr[0], arr[1]]
mid = len(arr) // 2
lef... | 20.189189 | 48 | 0.497992 | 103 | 747 | 3.427184 | 0.359223 | 0.127479 | 0.101983 | 0.084986 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039256 | 0.352075 | 747 | 36 | 49 | 20.75 | 0.690083 | 0.124498 | 0 | 0 | 0 | 0 | 0.013115 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0 | 0 | 0.190476 | 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 |
54bf36b4e97ce13f93c4eda7288e2207a9d1c577 | 2,295 | py | Python | locations/spiders/dollarama.py | cmecklenborg/alltheplaces | e62b59fb0071b6e289c4622d368fdb203a28347e | [
"MIT"
] | null | null | null | locations/spiders/dollarama.py | cmecklenborg/alltheplaces | e62b59fb0071b6e289c4622d368fdb203a28347e | [
"MIT"
] | null | null | null | locations/spiders/dollarama.py | cmecklenborg/alltheplaces | e62b59fb0071b6e289c4622d368fdb203a28347e | [
"MIT"
] | null | null | null | import scrapy
from locations.items import GeojsonPointItem
from urllib.parse import urlencode
from scrapy.selector import Selector
from locations.hours import OpeningHours
Days = ["Su", "Mo", "Tu", "We", "Th", "Fr", "Sa"]
class DollaramaSpider(scrapy.Spider):
name = "dollarama"
item_attributes = {"brand": "D... | 33.26087 | 83 | 0.547277 | 228 | 2,295 | 5.385965 | 0.504386 | 0.058632 | 0.061889 | 0.027687 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00565 | 0.305882 | 2,295 | 68 | 84 | 33.75 | 0.765223 | 0 | 0 | 0 | 0 | 0 | 0.216993 | 0.036166 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056604 | false | 0 | 0.09434 | 0 | 0.245283 | 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 |
54c063aa9c40b1e765ddd298550866419dd317e0 | 4,614 | py | Python | faces/recognize_faces_video.py | rummens1337/vision-assignment | 8735e95224be702f1bb33066eef80f098b347b1f | [
"MIT"
] | null | null | null | faces/recognize_faces_video.py | rummens1337/vision-assignment | 8735e95224be702f1bb33066eef80f098b347b1f | [
"MIT"
] | null | null | null | faces/recognize_faces_video.py | rummens1337/vision-assignment | 8735e95224be702f1bb33066eef80f098b347b1f | [
"MIT"
] | 1 | 2020-01-06T09:55:35.000Z | 2020-01-06T09:55:35.000Z | # import the necessary packages
from imutils.video import VideoStream
import face_recognition
import imutils
import pickle
import time
import cv2
import os
# https://www.pyimagesearch.com/2018/06/18/face-recognition-with-opencv-python-and-deep-learning/
# https://www.pyimagesearch.com/2018/06/11/how-to-build-a-custom-f... | 36.912 | 97 | 0.6114 | 629 | 4,614 | 4.45787 | 0.351351 | 0.032097 | 0.012839 | 0.012839 | 0.060628 | 0.037803 | 0 | 0 | 0 | 0 | 0 | 0.022181 | 0.296489 | 4,614 | 124 | 98 | 37.209677 | 0.841651 | 0.461855 | 0 | 0 | 0 | 0 | 0.072398 | 0 | 0 | 0 | 0.001645 | 0 | 0 | 1 | 0 | false | 0 | 0.12069 | 0 | 0.12069 | 0.034483 | 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 |
54c067d1a064f439200439939a3af3a79e1fca5f | 3,298 | py | Python | pytint/machine_io.py | semicolonTransistor/PyTint | 0f70fe756c285cda38b3a91318af02382a505263 | [
"MIT"
] | 1 | 2020-08-14T19:41:45.000Z | 2020-08-14T19:41:45.000Z | pytint/machine_io.py | semicolonTransistor/PyTint | 0f70fe756c285cda38b3a91318af02382a505263 | [
"MIT"
] | null | null | null | pytint/machine_io.py | semicolonTransistor/PyTint | 0f70fe756c285cda38b3a91318af02382a505263 | [
"MIT"
] | null | null | null | from pytint.interpreters import FiniteAutomaton
from typing import List, Union, Dict, Iterable
import collections
import yaml
class IncompleteMachine(Exception):
def __init__(self, missing: str, machine_type: str):
self.missing = missing
self.machine_type = machine_type
def __str__(self):
... | 36.644444 | 109 | 0.608854 | 389 | 3,298 | 4.992288 | 0.241645 | 0.096292 | 0.040165 | 0.026262 | 0.100412 | 0.067971 | 0.043254 | 0.043254 | 0.043254 | 0 | 0 | 0.002134 | 0.289569 | 3,298 | 89 | 110 | 37.05618 | 0.826718 | 0.034263 | 0 | 0.076923 | 0 | 0 | 0.071384 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061538 | false | 0.015385 | 0.061538 | 0.015385 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
54c4b203b6a2600da692213b5eb8857816d71318 | 2,203 | py | Python | ppocr/utils/special_character.py | ZacksTsang/PaddleOCR | c716553f6f369d191b91690a81936a19173a7c33 | [
"Apache-2.0"
] | 1 | 2021-08-12T17:16:02.000Z | 2021-08-12T17:16:02.000Z | ppocr/utils/special_character.py | ZacksTsang/PaddleOCR | c716553f6f369d191b91690a81936a19173a7c33 | [
"Apache-2.0"
] | null | null | null | ppocr/utils/special_character.py | ZacksTsang/PaddleOCR | c716553f6f369d191b91690a81936a19173a7c33 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*
# Copyright (c) 2020 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
#
# U... | 43.196078 | 213 | 0.576033 | 341 | 2,203 | 3.612903 | 0.422287 | 0.048701 | 0.048701 | 0.058442 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023132 | 0.23468 | 2,203 | 51 | 214 | 43.196078 | 0.707592 | 0.302769 | 0 | 0 | 0 | 0 | 0.142761 | 0.073401 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0 | 0 | 0.16 | 0.04 | 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 |
49a74574e4d388966ade396ad88447197a6c63e8 | 1,944 | py | Python | dynamic_rest/datastructures.py | reinert/dynamic-rest | aaf3973f69b53ed317b9c8468942523715814fa8 | [
"MIT"
] | 690 | 2016-02-05T22:46:03.000Z | 2022-03-28T18:59:49.000Z | dynamic_rest/datastructures.py | reinert/dynamic-rest | aaf3973f69b53ed317b9c8468942523715814fa8 | [
"MIT"
] | 190 | 2015-03-06T16:57:21.000Z | 2022-02-02T21:56:07.000Z | dynamic_rest/datastructures.py | reinert/dynamic-rest | aaf3973f69b53ed317b9c8468942523715814fa8 | [
"MIT"
] | 117 | 2016-05-05T13:51:07.000Z | 2022-02-28T18:25:56.000Z | """This module contains custom data-structures."""
import six
class TreeMap(dict):
"""Tree structure implemented with nested dictionaries."""
def get_paths(self):
"""Get all paths from the root to the leaves.
For example, given a chain like `{'a':{'b':{'c':None}}}`,
this method would... | 29.907692 | 77 | 0.513374 | 236 | 1,944 | 4.199153 | 0.381356 | 0.045409 | 0.012109 | 0.032291 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001685 | 0.389403 | 1,944 | 64 | 78 | 30.375 | 0.833193 | 0.417695 | 0 | 0.071429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.035714 | 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 |
49a855768d0faa6b5929b201dd9c0e69c1e8d0cf | 1,860 | py | Python | Sumo_programs/probablyGoodCode/Lyall's_Test_File.py | senornosketchy/ENGG1000-R2R | 5c6880e81560079d22c8dbbadd9c7fdd1e585aa4 | [
"MIT"
] | null | null | null | Sumo_programs/probablyGoodCode/Lyall's_Test_File.py | senornosketchy/ENGG1000-R2R | 5c6880e81560079d22c8dbbadd9c7fdd1e585aa4 | [
"MIT"
] | null | null | null | Sumo_programs/probablyGoodCode/Lyall's_Test_File.py | senornosketchy/ENGG1000-R2R | 5c6880e81560079d22c8dbbadd9c7fdd1e585aa4 | [
"MIT"
] | null | null | null | """
Created on Thu Mar 22 15:07:43 2018
@author: Tanvee
First attempt at an program for the EV3 bot.
The main aim of this is to develop an algorithm to search clockwise for and identify
close objects, before rushing to meet them.
"""
print(0)
from time import sleep
import sys, os
# Import the ev3dev specific library
f... | 21.882353 | 98 | 0.716667 | 280 | 1,860 | 4.710714 | 0.535714 | 0.015921 | 0.015163 | 0.027293 | 0.030326 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022207 | 0.201075 | 1,860 | 84 | 99 | 22.142857 | 0.865411 | 0.36129 | 0 | 0.054054 | 0 | 0 | 0.049234 | 0 | 0 | 0 | 0 | 0 | 0.162162 | 1 | 0.081081 | false | 0 | 0.081081 | 0 | 0.162162 | 0.162162 | 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 |
49a92b917ad9d386c28bdce310accefac0f211c6 | 2,075 | py | Python | handler_loud/chat.py | ross/simone | cfee8eaa04a7ddd235f735fa6c07adac28b4c6a4 | [
"MIT"
] | null | null | null | handler_loud/chat.py | ross/simone | cfee8eaa04a7ddd235f735fa6c07adac28b4c6a4 | [
"MIT"
] | 1 | 2021-11-04T13:47:28.000Z | 2021-11-04T13:47:28.000Z | handler_loud/chat.py | ross/simone | cfee8eaa04a7ddd235f735fa6c07adac28b4c6a4 | [
"MIT"
] | 1 | 2021-10-20T14:44:19.000Z | 2021-10-20T14:44:19.000Z | from logging import getLogger
from random import randrange
import re
from simone.handlers import Registry, exclude_private
from .models import Shout
# Based loosely on https://github.com/desert-planet/hayt/blob/master/scripts/loud.coffee
class Loud(object):
'''
Learns and repeats LOUD MESSAGES!
To add n... | 33.467742 | 88 | 0.578313 | 275 | 2,075 | 4.330909 | 0.476364 | 0.033585 | 0.042821 | 0.035264 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002738 | 0.295904 | 2,075 | 61 | 89 | 34.016393 | 0.812457 | 0.234699 | 0 | 0 | 0 | 0 | 0.157521 | 0.016785 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0 | 0.147059 | 0.029412 | 0.382353 | 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 |
49a9a3178fb4042aad889e7fe746a420d38ecae5 | 1,013 | py | Python | Algo and DSA/LeetCode-Solutions-master/Python/web-crawler.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 3,269 | 2018-10-12T01:29:40.000Z | 2022-03-31T17:58:41.000Z | Algo and DSA/LeetCode-Solutions-master/Python/web-crawler.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 53 | 2018-12-16T22:54:20.000Z | 2022-02-25T08:31:20.000Z | Algo and DSA/LeetCode-Solutions-master/Python/web-crawler.py | Sourav692/FAANG-Interview-Preparation | f523e5c94d582328b3edc449ea16ac6ab28cdc81 | [
"Unlicense"
] | 1,236 | 2018-10-12T02:51:40.000Z | 2022-03-30T13:30:37.000Z | # Time: O(|V| + |E|)
# Space: O(|V|)
# """
# This is HtmlParser's API interface.
# You should not implement it, or speculate about its implementation
# """
class HtmlParser(object):
def getUrls(self, url):
"""
:type url: str
:rtype List[str]
"""
pass
class Solution(object):
... | 25.325 | 69 | 0.515301 | 115 | 1,013 | 4.469565 | 0.478261 | 0.048638 | 0.046693 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00156 | 0.367226 | 1,013 | 39 | 70 | 25.974359 | 0.800312 | 0.240869 | 0 | 0 | 0 | 0 | 0.011494 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0.05 | 0 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
49aacdd586494ba24976083e9c7c711f99d594ea | 1,132 | py | Python | data_split.py | TalSchuster/FewRel | af68f52b13977ca29808c38a54995363f76cdcad | [
"MIT"
] | null | null | null | data_split.py | TalSchuster/FewRel | af68f52b13977ca29808c38a54995363f76cdcad | [
"MIT"
] | null | null | null | data_split.py | TalSchuster/FewRel | af68f52b13977ca29808c38a54995363f76cdcad | [
"MIT"
] | null | null | null | import os
import random
from shutil import copyfile
import json
random.seed(123)
ROOT_PATH = './data/'
k = 5
target_path = './data/wiki_5_splits/'
'''
Splits the training set to 5 folds.
In each split, the held out set is used for test.
'''
path = os.path.join(ROOT_PATH, 'train_wiki' + '.json')
data = json.load(op... | 25.155556 | 88 | 0.655477 | 182 | 1,132 | 3.912088 | 0.357143 | 0.067416 | 0.05618 | 0.067416 | 0.182584 | 0.182584 | 0.182584 | 0.089888 | 0.089888 | 0 | 0 | 0.007659 | 0.19258 | 1,132 | 44 | 89 | 25.727273 | 0.771335 | 0 | 0 | 0 | 0 | 0.034483 | 0.13282 | 0.067372 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.137931 | 0 | 0.137931 | 0.034483 | 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 |
49add70868769fd8f813dafc8912a925207ca004 | 4,011 | py | Python | rocket.py | FrCln/SpaceGarbage | 0e121143888b108eac2b86b1dd9fcbf20dcef36e | [
"MIT"
] | null | null | null | rocket.py | FrCln/SpaceGarbage | 0e121143888b108eac2b86b1dd9fcbf20dcef36e | [
"MIT"
] | null | null | null | rocket.py | FrCln/SpaceGarbage | 0e121143888b108eac2b86b1dd9fcbf20dcef36e | [
"MIT"
] | null | null | null | import math
import os
from curses_tools import draw_frame, get_frame_size
def _limit(value, min_value, max_value):
"""Limit value by min_value and max_value."""
if value < min_value:
return min_value
if value > max_value:
return max_value
return value
def _apply_acceleration(speed,... | 31.335938 | 115 | 0.607828 | 546 | 4,011 | 4.298535 | 0.245421 | 0.063911 | 0.040903 | 0.015339 | 0.285471 | 0.217299 | 0.217299 | 0.172987 | 0.145718 | 0.145718 | 0 | 0.016517 | 0.305659 | 4,011 | 127 | 116 | 31.582677 | 0.822621 | 0.182747 | 0 | 0.195122 | 0 | 0 | 0.068738 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073171 | false | 0 | 0.036585 | 0 | 0.170732 | 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 |
49ae3d28975be04fc1299eea9d4febbbbbb376de | 7,963 | py | Python | src/roll.py | SimonPerche/PersonalitiesWars | 495803a5be5e9fde572c3f39086d8a3510c75f58 | [
"MIT"
] | null | null | null | src/roll.py | SimonPerche/PersonalitiesWars | 495803a5be5e9fde572c3f39086d8a3510c75f58 | [
"MIT"
] | null | null | null | src/roll.py | SimonPerche/PersonalitiesWars | 495803a5be5e9fde572c3f39086d8a3510c75f58 | [
"MIT"
] | 1 | 2022-03-08T22:07:50.000Z | 2022-03-08T22:07:50.000Z | import secrets
import asyncio
from datetime import datetime, timedelta
import discord
from discord.ext import commands
from database import DatabasePersonality, DatabaseDeck
class Roll(commands.Cog):
def __init__(self, bot):
"""Initial the cog with the bot."""
self.bot = bot
#### Commands #... | 41.259067 | 154 | 0.615346 | 1,036 | 7,963 | 4.49807 | 0.175676 | 0.05794 | 0.050215 | 0.018026 | 0.254721 | 0.165451 | 0.098712 | 0.079614 | 0.028755 | 0.015021 | 0 | 0.003828 | 0.278287 | 7,963 | 192 | 155 | 41.473958 | 0.806856 | 0.055256 | 0 | 0.097744 | 0 | 0.015038 | 0.121459 | 0.031267 | 0 | 0 | 0.001069 | 0 | 0 | 1 | 0.037594 | false | 0 | 0.045113 | 0 | 0.165414 | 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 |
49aebc3c829e124d35af1e1fc14ed2a19ad3ba06 | 9,218 | py | Python | ATIVIDAS UF/exemplos.py | alverad-katsuro/Python | 6ba3cc604fd9cde3ee012fcf17bbf6cd944e8c38 | [
"MIT"
] | null | null | null | ATIVIDAS UF/exemplos.py | alverad-katsuro/Python | 6ba3cc604fd9cde3ee012fcf17bbf6cd944e8c38 | [
"MIT"
] | null | null | null | ATIVIDAS UF/exemplos.py | alverad-katsuro/Python | 6ba3cc604fd9cde3ee012fcf17bbf6cd944e8c38 | [
"MIT"
] | null | null | null | from math import log
def ef_cache():
acerto = eval(input("Digite a quantidade de acertos: "))
acessos = eval(input("Digite a quantidade de acessos: "))
e = acerto / acessos
return e
def bit_dados():
cap = eval(input("Digite a capacidade da cache: "))
byte = eval(input("Digite a quantidade de... | 43.895238 | 129 | 0.653179 | 1,370 | 9,218 | 4.288321 | 0.128467 | 0.03217 | 0.048511 | 0.051745 | 0.644596 | 0.558809 | 0.494809 | 0.451745 | 0.42434 | 0.408 | 0 | 0.03541 | 0.20959 | 9,218 | 209 | 130 | 44.105263 | 0.770931 | 0.001844 | 0 | 0.299435 | 0 | 0.022599 | 0.433246 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090395 | false | 0 | 0.00565 | 0 | 0.129944 | 0.389831 | 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 |
49af0bc491e51d1946b18c865a7ad51bc62f12c7 | 15,786 | py | Python | supvisors/tests/test_mainloop.py | julien6387/supvisors | 4e32bce566dec2cf9e9a213a3698178030eb869b | [
"Apache-2.0"
] | 66 | 2017-01-05T11:28:34.000Z | 2022-03-04T08:42:01.000Z | supvisors/tests/test_mainloop.py | julien6387/supvisors | 4e32bce566dec2cf9e9a213a3698178030eb869b | [
"Apache-2.0"
] | 36 | 2016-12-30T10:46:58.000Z | 2022-01-09T22:56:10.000Z | supvisors/tests/test_mainloop.py | julien6387/supvisors | 4e32bce566dec2cf9e9a213a3698178030eb869b | [
"Apache-2.0"
] | 12 | 2017-03-04T04:53:51.000Z | 2022-01-28T13:03:22.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# ======================================================================
# Copyright 2017 Julien LE CLEACH
#
# 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 Lice... | 43.607735 | 110 | 0.705752 | 2,171 | 15,786 | 4.893137 | 0.113772 | 0.066271 | 0.015062 | 0.014591 | 0.677116 | 0.628448 | 0.582886 | 0.533183 | 0.512849 | 0.47303 | 0 | 0.020309 | 0.179653 | 15,786 | 361 | 111 | 43.728532 | 0.8 | 0.173128 | 0 | 0.483333 | 0 | 0.004167 | 0.133535 | 0.051521 | 0 | 0 | 0 | 0 | 0.320833 | 1 | 0.075 | false | 0.004167 | 0.029167 | 0.004167 | 0.108333 | 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 |
49afc71691a68c9b40e3421c08e29b8368b54b60 | 2,815 | py | Python | wolf_control/scripts/mission.py | ncsurobotics/SW8S-ROS | 9f7f5811fe1a1a8d5d0de0b791ce757fcaeb5759 | [
"MIT"
] | null | null | null | wolf_control/scripts/mission.py | ncsurobotics/SW8S-ROS | 9f7f5811fe1a1a8d5d0de0b791ce757fcaeb5759 | [
"MIT"
] | null | null | null | wolf_control/scripts/mission.py | ncsurobotics/SW8S-ROS | 9f7f5811fe1a1a8d5d0de0b791ce757fcaeb5759 | [
"MIT"
] | 1 | 2022-03-30T19:12:52.000Z | 2022-03-30T19:12:52.000Z | #!/usr/bin/env python
import rospy
from geometry_msgs.msg import Twist, TransformStamped
from std_msgs.msg import String
from enum import Enum
import tf2_ros
import math
class mission_states(Enum):
STOP = -1
SUBMERGE = 0
MOVE_TO_GATE = 1
MOVE_THROUGH_GATE = 2
def checkTolerance(current, wanted):
t... | 38.040541 | 105 | 0.596448 | 319 | 2,815 | 5.034483 | 0.31348 | 0.072852 | 0.089664 | 0.054795 | 0.335616 | 0.212951 | 0.083437 | 0.083437 | 0.054795 | 0.054795 | 0 | 0.019874 | 0.320782 | 2,815 | 73 | 106 | 38.561644 | 0.820084 | 0.008881 | 0 | 0.264706 | 0 | 0 | 0.044118 | 0.009326 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029412 | false | 0.014706 | 0.088235 | 0 | 0.205882 | 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 |
49b1fd488e00bd5cbf7211a994c7ac528083422a | 21,956 | py | Python | xinshuo_visualization/prob_stat_vis.py | xinshuoweng/Xinshuo_PyToolbox | ce4cf0398f24c5a611af9d94dc0bf2a9104a3716 | [
"MIT"
] | 31 | 2020-03-05T12:27:21.000Z | 2022-03-07T04:00:18.000Z | xinshuo_visualization/prob_stat_vis.py | xinshuoweng/Xinshuo_PyToolbox | ce4cf0398f24c5a611af9d94dc0bf2a9104a3716 | [
"MIT"
] | null | null | null | xinshuo_visualization/prob_stat_vis.py | xinshuoweng/Xinshuo_PyToolbox | ce4cf0398f24c5a611af9d94dc0bf2a9104a3716 | [
"MIT"
] | 12 | 2020-07-06T05:06:58.000Z | 2021-11-18T14:43:20.000Z | # Author: Xinshuo Weng
# email: xinshuo.weng@gmail.com
import matplotlib.pyplot as plt, numpy as np
# import seaborn as sns
# from pandas import DataFrame
# from sklearn.neighbors import NearestNeighbors
from terminaltables import AsciiTable
from collections import Counter
from .private import save_vis_close_helper, ... | 49.674208 | 269 | 0.660867 | 3,048 | 21,956 | 4.567257 | 0.143373 | 0.011134 | 0.016378 | 0.015013 | 0.313124 | 0.244595 | 0.203218 | 0.183248 | 0.16098 | 0.141656 | 0 | 0.01001 | 0.240117 | 21,956 | 442 | 270 | 49.674208 | 0.824383 | 0.146247 | 0 | 0.189274 | 0 | 0 | 0.131684 | 0 | 0 | 0 | 0 | 0 | 0.135647 | 1 | 0.015773 | false | 0 | 0.018927 | 0 | 0.050473 | 0.0347 | 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 |
49b384eb266010cb19d2dcb98f62539f08a56ecd | 2,530 | py | Python | bin/sweep_rhoref.py | lukaselflein/sarah_folderstructure | a725271db3d8b5b28b24918b3daf0942fa04dcd8 | [
"MIT"
] | null | null | null | bin/sweep_rhoref.py | lukaselflein/sarah_folderstructure | a725271db3d8b5b28b24918b3daf0942fa04dcd8 | [
"MIT"
] | 28 | 2019-03-29T13:34:57.000Z | 2019-07-04T09:27:07.000Z | bin/sweep_rhoref.py | lukaselflein/sarah_folderstructure | a725271db3d8b5b28b24918b3daf0942fa04dcd8 | [
"MIT"
] | null | null | null | """Vary the rhoref parameter to find a sane value.
Copyright 2019 Simulation Lab
University of Freiburg
Author: Lukas Elflein <elfleinl@cs.uni-freiburg.de>
"""
from __future__ import print_function
import os
import shutil
#import multiprocessing
#import sys
import random
from loop_cost_functions import calc_cost_fun... | 28.75 | 84 | 0.617787 | 345 | 2,530 | 4.388406 | 0.373913 | 0.02642 | 0.015852 | 0.027741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026507 | 0.239526 | 2,530 | 87 | 85 | 29.08046 | 0.760395 | 0.231621 | 0 | 0.12963 | 0 | 0 | 0.123631 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0.018519 | 0.12963 | 0.018519 | 0.240741 | 0.203704 | 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 |
49ba5224fd8503eb5f417c4656d1970b4252f78d | 714 | py | Python | currency_converter.py | patricianicolentan/currency-converters | e398796c99a0bb2a16fba9888baed0e289884237 | [
"MIT"
] | null | null | null | currency_converter.py | patricianicolentan/currency-converters | e398796c99a0bb2a16fba9888baed0e289884237 | [
"MIT"
] | null | null | null | currency_converter.py | patricianicolentan/currency-converters | e398796c99a0bb2a16fba9888baed0e289884237 | [
"MIT"
] | null | null | null | # Converts user-defined currencies using Google
import webbrowser, os, selenium
from selenium import webdriver
driver = webdriver.Firefox()
headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36'}
currencyX = input("O... | 39.666667 | 149 | 0.710084 | 94 | 714 | 5.308511 | 0.691489 | 0.02004 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042834 | 0.14986 | 714 | 18 | 150 | 39.666667 | 0.779242 | 0.063025 | 0 | 0 | 0 | 0.083333 | 0.384025 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0.083333 | 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 |
49bd3fd869f70ef4d24196d954aa248d999405b6 | 714 | py | Python | 04_threading_yield.py | BiAPoL/online_image_processing_napari | 680d9ceeef5ae188541a96c7125f0fca07f28af5 | [
"Unlicense"
] | 2 | 2021-05-10T13:44:15.000Z | 2022-03-16T20:20:39.000Z | 04_threading_yield.py | BiAPoL/online_image_processing_napari | 680d9ceeef5ae188541a96c7125f0fca07f28af5 | [
"Unlicense"
] | 1 | 2021-05-17T16:11:54.000Z | 2021-05-19T19:38:50.000Z | 04_threading_yield.py | BiAPoL/online_image_processing_napari | 680d9ceeef5ae188541a96c7125f0fca07f28af5 | [
"Unlicense"
] | 2 | 2021-05-17T16:36:12.000Z | 2022-03-18T15:07:14.000Z | import napari
import time
from napari._qt.qthreading import thread_worker
import numpy as np
# create a viewer window
viewer = napari.Viewer()
# https://napari.org/guides/stable/threading.html
@thread_worker
def loop_run():
while True: # endless loop
print("Hello world", time.time())
time.sleep(0.... | 20.4 | 49 | 0.676471 | 99 | 714 | 4.79798 | 0.565657 | 0.050526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007055 | 0.205882 | 714 | 34 | 50 | 21 | 0.830688 | 0.240896 | 0 | 0 | 0 | 0 | 0.044402 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.2 | 0 | 0.3 | 0.05 | 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 |
49c08ac397715e801d537d9aef1fa2cc32d852d3 | 3,915 | py | Python | composite.py | ubuviz/vizion-composite-key | c8b549bb158fe64013d3db2074e3330a942509ab | [
"MIT"
] | null | null | null | composite.py | ubuviz/vizion-composite-key | c8b549bb158fe64013d3db2074e3330a942509ab | [
"MIT"
] | null | null | null | composite.py | ubuviz/vizion-composite-key | c8b549bb158fe64013d3db2074e3330a942509ab | [
"MIT"
] | 1 | 2021-06-27T15:49:18.000Z | 2021-06-27T15:49:18.000Z | """
This module provides a ``CompositePKModel`` which allows for basic retrieval
and saving of models with composite keys.
It is limited to the above tasks, and any use of the model past this is not
guaranteed to work.
A model with composite PK should look something like this::
from composite_pk import compos... | 32.090164 | 89 | 0.614049 | 470 | 3,915 | 4.923404 | 0.319149 | 0.038029 | 0.030251 | 0.024633 | 0.15471 | 0.138289 | 0.097666 | 0.097666 | 0.097666 | 0.058773 | 0 | 0.001455 | 0.297573 | 3,915 | 121 | 90 | 32.355372 | 0.84 | 0.339719 | 0 | 0.109091 | 0 | 0 | 0.016783 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.127273 | false | 0 | 0.036364 | 0.018182 | 0.418182 | 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 |
49c3520395affa81361da9069657257acb15bac3 | 8,299 | py | Python | tmac/models.py | Nondairy-Creamer/tmac | d688b58f13f398f83ea0bdad139e69b74398c1be | [
"MIT"
] | null | null | null | tmac/models.py | Nondairy-Creamer/tmac | d688b58f13f398f83ea0bdad139e69b74398c1be | [
"MIT"
] | null | null | null | tmac/models.py | Nondairy-Creamer/tmac | d688b58f13f398f83ea0bdad139e69b74398c1be | [
"MIT"
] | null | null | null | import numpy as np
import torch
import time
from scipy import optimize
from scipy.stats import norm
import tmac.probability_distributions as tpd
import tmac.fourier as tfo
def tmac_ac(red_np, green_np, optimizer='BFGS', verbose=False, truncate_freq=False):
""" Implementation of the Two-channel motion artifact cor... | 49.106509 | 156 | 0.662128 | 1,136 | 8,299 | 4.59331 | 0.205986 | 0.042162 | 0.049828 | 0.018398 | 0.293407 | 0.210042 | 0.161748 | 0.146033 | 0.090839 | 0.071292 | 0 | 0.008232 | 0.253525 | 8,299 | 168 | 157 | 49.39881 | 0.83406 | 0.256657 | 0 | 0 | 0 | 0 | 0.029649 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061224 | false | 0 | 0.071429 | 0.020408 | 0.193878 | 0.020408 | 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 |
49c41f791b3306b65a7220115c0864d09f5d6134 | 2,166 | py | Python | demo.py | TianhongDai/esil-hindsight | b7c22da087095610018f281245fd4f622ef190ed | [
"MIT"
] | 5 | 2020-10-14T14:10:27.000Z | 2020-11-23T12:46:08.000Z | demo.py | TianhongDai/esil-hindsight | b7c22da087095610018f281245fd4f622ef190ed | [
"MIT"
] | 5 | 2020-10-14T18:57:37.000Z | 2021-10-21T11:10:12.000Z | demo.py | TianhongDai/esil-hindsight | b7c22da087095610018f281245fd4f622ef190ed | [
"MIT"
] | 1 | 2021-12-01T08:55:28.000Z | 2021-12-01T08:55:28.000Z | from arguments import get_args
import numpy as np
from network.models import MLP_Net
from utils.utils import get_env_params
import torch
import os, gym
"""
script to watch the demo of the ESIL
"""
# process the inputs
def process_inputs(o, g, o_mean, o_std, g_mean, g_std, args):
o_clip = np.clip(o, -args.clip_obs... | 40.111111 | 96 | 0.636657 | 308 | 2,166 | 4.227273 | 0.331169 | 0.049155 | 0.018433 | 0.02765 | 0.132104 | 0.127496 | 0.078341 | 0.033794 | 0 | 0 | 0 | 0.001834 | 0.244691 | 2,166 | 53 | 97 | 40.867925 | 0.79401 | 0.077562 | 0 | 0 | 0 | 0 | 0.062179 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0 | 0.15 | 0 | 0.2 | 0.025 | 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 |
49c547bb09c7eed025dfa278cd31af58e1182d17 | 4,397 | py | Python | mesh_utilities.py | qingfengxia/quasi_static_metal_cutting | 9773fc0ea33c290057cb2230365094058216caf0 | [
"AFL-1.1"
] | 2 | 2019-07-18T18:35:31.000Z | 2021-09-12T14:00:58.000Z | mesh_utilities.py | qingfengxia/quasi_static_metal_cutting | 9773fc0ea33c290057cb2230365094058216caf0 | [
"AFL-1.1"
] | 1 | 2020-04-26T04:22:26.000Z | 2020-05-11T08:54:44.000Z | mesh_utilities.py | qingfengxia/quasi_static_metal_cutting | 9773fc0ea33c290057cb2230365094058216caf0 | [
"AFL-1.1"
] | null | null | null | #utf8
from __future__ import print_function, division
import subprocess
import os
import os.path
import sys
import time
default_tmp_mesh_filename = '/tmp/Mesh_1.med'
# salome 9.x may be too new for this script, some version released in 2018 is better
# salome_app = '/media/sf_OneDrive/Salome-9.8.0/salome'
salome_app =... | 43.97 | 120 | 0.705254 | 630 | 4,397 | 4.673016 | 0.326984 | 0.030571 | 0.036685 | 0.029891 | 0.258832 | 0.236413 | 0.149457 | 0.129755 | 0.100543 | 0.100543 | 0 | 0.010854 | 0.182852 | 4,397 | 99 | 121 | 44.414141 | 0.808517 | 0.215147 | 0 | 0.12 | 0 | 0 | 0.148849 | 0.031459 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0.08 | 0.013333 | 0.24 | 0.106667 | 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 |
49c7ae5b76fbf1b02e8d130eadfb4143e44dcc80 | 8,141 | py | Python | cubi_tk/ena_constants.py | eudesbarbosa/cubi-tk | 80c3ef9387f2399f796b2cc445b99781d541f222 | [
"MIT"
] | 3 | 2020-09-23T13:06:41.000Z | 2022-01-14T10:14:20.000Z | cubi_tk/ena_constants.py | eudesbarbosa/cubi-tk | 80c3ef9387f2399f796b2cc445b99781d541f222 | [
"MIT"
] | 65 | 2020-09-23T13:22:41.000Z | 2022-03-17T11:02:42.000Z | cubi_tk/ena_constants.py | eudesbarbosa/cubi-tk | 80c3ef9387f2399f796b2cc445b99781d541f222 | [
"MIT"
] | 4 | 2020-09-25T11:28:45.000Z | 2021-11-01T12:00:13.000Z | """Values for controlled vocabularies from ENA.
Taken from
- https://ena-docs.readthedocs.io/en/latest/submit/reads/webin-cli.html
"""
# Constants for platform definitions.
LS454 = "LS454"
ILLUMINA = "ILLUMINA"
PACBIO_SMRT = "PACBIO_SMRT"
IONTORRENT = "ION_TORRENT"
CAPILLARY = "CAPILLARY"
ONT = "OXFOR... | 27.59661 | 91 | 0.737624 | 1,002 | 8,141 | 5.59481 | 0.217565 | 0.046557 | 0.013914 | 0.008562 | 0.377631 | 0.175169 | 0.106315 | 0.070282 | 0 | 0 | 0 | 0.053307 | 0.186586 | 8,141 | 294 | 92 | 27.690476 | 0.793265 | 0.062155 | 0 | 0 | 0 | 0 | 0.218703 | 0.003003 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
49caba94d9ddd16a821b2ba8d9ea2e815b9e25e0 | 1,292 | py | Python | code.py | RanaTe/AntiLogOut | 0d970f6202fb16be469de6a98c45c0cfb4b910f0 | [
"OML"
] | null | null | null | code.py | RanaTe/AntiLogOut | 0d970f6202fb16be469de6a98c45c0cfb4b910f0 | [
"OML"
] | null | null | null | code.py | RanaTe/AntiLogOut | 0d970f6202fb16be469de6a98c45c0cfb4b910f0 | [
"OML"
] | null | null | null | import board
import time
import random
import usb_hid
from adafruit_hid.mouse import Mouse
from adafruit_hid.keyboard import Keyboard
mouse = Mouse(usb_hid.devices)
goright=True
while True:
#2 parts to sequence, move mostly right, then mostly left
# set up for big move
#longwait=random.randint(250,35... | 25.84 | 66 | 0.666409 | 173 | 1,292 | 4.947977 | 0.445087 | 0.121495 | 0.035047 | 0.035047 | 0.091122 | 0.091122 | 0 | 0 | 0 | 0 | 0 | 0.04277 | 0.239938 | 1,292 | 49 | 67 | 26.367347 | 0.828921 | 0.218266 | 0 | 0.064516 | 0 | 0 | 0.061 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.193548 | 0 | 0.193548 | 0.129032 | 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 |
49ce339e404139f63103f0e97e83fc72d1aded23 | 15,097 | py | Python | bio2.py | phenolophthaleinum/BioPython | 67be63e69f136134ca8cb41676700c97da7a2006 | [
"MIT"
] | null | null | null | bio2.py | phenolophthaleinum/BioPython | 67be63e69f136134ca8cb41676700c97da7a2006 | [
"MIT"
] | null | null | null | bio2.py | phenolophthaleinum/BioPython | 67be63e69f136134ca8cb41676700c97da7a2006 | [
"MIT"
] | null | null | null | from Bio.SeqIO import parse
from Bio import SeqIO
from Bio.SeqRecord import SeqRecord
from Bio.Seq import Seq
from Bio.Alphabet import IUPAC, generic_dna
from Bio import Alphabet, Entrez
from Bio.SeqUtils import GC
from Bio.Blast import NCBIWWW, NCBIXML
from Bio import pairwise2
from Bio.pairwise2 import format_alignme... | 39.111399 | 110 | 0.540703 | 1,594 | 15,097 | 5.018821 | 0.16813 | 0.05 | 0.031875 | 0.027 | 0.42175 | 0.392375 | 0.353375 | 0.303625 | 0.292 | 0.273 | 0 | 0.007158 | 0.333709 | 15,097 | 385 | 111 | 39.212987 | 0.78815 | 0.027886 | 0 | 0.353659 | 0 | 0 | 0.210447 | 0.028164 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042683 | false | 0.003049 | 0.033537 | 0 | 0.094512 | 0.198171 | 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 |
49d5165d59fc22ca8bcab148e06413fa005d535e | 2,799 | py | Python | convertPP.py | Harry93x/FinancialToolbox | d34ef96d66b7447332d8f977da8fa9abc43cc981 | [
"MIT"
] | null | null | null | convertPP.py | Harry93x/FinancialToolbox | d34ef96d66b7447332d8f977da8fa9abc43cc981 | [
"MIT"
] | null | null | null | convertPP.py | Harry93x/FinancialToolbox | d34ef96d66b7447332d8f977da8fa9abc43cc981 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import xlrd
import csv
import sys
import getopt
# input configuration
iColDate = 0
iColTransactionType = 1
iColAmount = 3
iColDescription = 6
transactionType = 'Repayment'
descriptionType = 'Interest'
#output configuration
outHeader = ['Datum', 'Typ', 'Wert']
outType = 'Zinsen'
outDelimiter = ';'
... | 29.15625 | 198 | 0.649875 | 323 | 2,799 | 5.575851 | 0.321981 | 0.06663 | 0.084398 | 0.039978 | 0.367574 | 0.075514 | 0.048862 | 0.048862 | 0.048862 | 0 | 0 | 0.015288 | 0.205431 | 2,799 | 95 | 199 | 29.463158 | 0.794514 | 0.196856 | 0 | 0.15942 | 0 | 0 | 0.075995 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028986 | false | 0 | 0.057971 | 0.014493 | 0.101449 | 0.028986 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
49d5fecaf1e79a501de0719400a144c921ff2ac0 | 1,096 | py | Python | lib/python3.7/site-packages/vine/__init__.py | nguyentranhoan/uit-mobile | 8546312b01373d94cf00c64f7eacb769e0f4ccce | [
"BSD-3-Clause"
] | 13 | 2018-03-28T23:07:01.000Z | 2022-03-12T06:01:21.000Z | newenv/lib/python3.8/site-packages/vine/__init__.py | palakshivlani-11/cryptorium | eebb78c061007519e527b3d18b8df6bc13679c46 | [
"Apache-2.0"
] | 13 | 2020-03-24T17:53:51.000Z | 2022-02-10T20:01:14.000Z | newenv/lib/python3.8/site-packages/vine/__init__.py | palakshivlani-11/cryptorium | eebb78c061007519e527b3d18b8df6bc13679c46 | [
"Apache-2.0"
] | 5 | 2018-03-28T23:07:05.000Z | 2021-12-09T19:02:00.000Z | """Promises, promises, promises."""
from __future__ import absolute_import, unicode_literals
import re
from collections import namedtuple
from .abstract import Thenable
from .promises import promise
from .synchronization import barrier
from .funtools import (
maybe_promise, ensure_promise,
ppartial, preplace... | 26.095238 | 68 | 0.699818 | 133 | 1,096 | 5.37594 | 0.548872 | 0.061538 | 0.05035 | 0.06993 | 0.181818 | 0.181818 | 0.181818 | 0.181818 | 0.181818 | 0 | 0 | 0.007455 | 0.143248 | 1,096 | 41 | 69 | 26.731707 | 0.753994 | 0.118613 | 0 | 0 | 0 | 0 | 0.249478 | 0.045929 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.241379 | 0 | 0.241379 | 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 |
49d6bd8f68e9b38cfe513863c74dbe676a8959d2 | 1,965 | py | Python | Ben_Manuscripts/transport/figures/hops_dwells.py | shirtsgroup/LLC_Membranes | e94694f298909352d7e9d912625314a1e46aa5b6 | [
"MIT"
] | 4 | 2019-06-18T15:26:49.000Z | 2021-08-11T18:57:39.000Z | Ben_Manuscripts/transport/figures/hops_dwells.py | shirtsgroup/LLC_Membranes | e94694f298909352d7e9d912625314a1e46aa5b6 | [
"MIT"
] | 2 | 2019-08-22T20:11:46.000Z | 2019-08-22T22:35:17.000Z | Ben_Manuscripts/transport/figures/hops_dwells.py | shirtsgroup/LLC_Membranes | e94694f298909352d7e9d912625314a1e46aa5b6 | [
"MIT"
] | 4 | 2019-07-06T15:41:53.000Z | 2021-01-27T17:59:13.000Z | #!/usr/bin/env python
import numpy as np
import matplotlib.pyplot as plt
from LLC_Membranes.timeseries.forecast_ctrw import System
from LLC_Membranes.llclib import file_rw
import names
residues = ["GCL", "SOH"]
wt = 10
path = "/home/bcoscia/Documents/Gromacs/Transport/NaGA3C11"
colors = ['blue', 'red']
opacity = 1
n... | 32.213115 | 128 | 0.692112 | 339 | 1,965 | 3.870206 | 0.324484 | 0.010671 | 0.033537 | 0.060976 | 0.42378 | 0.3125 | 0.193598 | 0.144817 | 0.144817 | 0.080793 | 0 | 0.047702 | 0.125191 | 1,965 | 60 | 129 | 32.75 | 0.715532 | 0.010178 | 0 | 0.08 | 0 | 0 | 0.074074 | 0.03858 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.1 | 0.02 | 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 |
49d70088af3c73de71bed44ae91ad6608da6929f | 1,275 | py | Python | 1450.py | sinasiruosnejad/leetcode | 8fe5a400bc03a5e129835e380ff9fe72af681d8a | [
"MIT"
] | null | null | null | 1450.py | sinasiruosnejad/leetcode | 8fe5a400bc03a5e129835e380ff9fe72af681d8a | [
"MIT"
] | null | null | null | 1450.py | sinasiruosnejad/leetcode | 8fe5a400bc03a5e129835e380ff9fe72af681d8a | [
"MIT"
] | null | null | null | def string_to_list(string,array):
x=input(string)
i=1
while x[i]!=']':
if x[i]!=',':
j=i
temp=''
while x[j]!=',':
if x[j]==']':
break
temp+=x[j]
j+=1
i=j
array.append(i... | 24.519231 | 59 | 0.542745 | 196 | 1,275 | 3.387755 | 0.219388 | 0.149096 | 0.075301 | 0.105422 | 0.259036 | 0.153614 | 0.11747 | 0 | 0 | 0 | 0 | 0.032294 | 0.295686 | 1,275 | 52 | 60 | 24.519231 | 0.707127 | 0 | 0 | 0.12766 | 0 | 0 | 0.172414 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021277 | false | 0 | 0 | 0 | 0.021277 | 0.148936 | 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 |
49d77fe266bda3b95de391977fa5e234a79bc1d6 | 3,000 | py | Python | backend/model/migrate/versions/4dbaa3104f4_.py | deti/boss | bc0cfe3067bf1cbf26789f7443a36e7cdd2ac869 | [
"Apache-2.0"
] | 7 | 2018-05-20T08:56:08.000Z | 2022-03-11T15:50:54.000Z | backend/model/migrate/versions/4dbaa3104f4_.py | deti/boss | bc0cfe3067bf1cbf26789f7443a36e7cdd2ac869 | [
"Apache-2.0"
] | 2 | 2021-06-08T21:12:51.000Z | 2022-01-13T01:25:27.000Z | backend/model/migrate/versions/4dbaa3104f4_.py | deti/boss | bc0cfe3067bf1cbf26789f7443a36e7cdd2ac869 | [
"Apache-2.0"
] | 5 | 2016-10-09T14:52:09.000Z | 2020-12-25T01:04:35.000Z | """Added tariff
Revision ID: 4dbaa3104f4
Revises: 1d6f96d1df
Create Date: 2015-05-27 16:00:09.343862
"""
# revision identifiers, used by Alembic.
revision = '4dbaa3104f4'
down_revision = '1d6f96d1df'
branch_labels = None
depends_on = None
from alembic import op
import sqlalchemy as sa
def upgrade(engine_name):
... | 32.967033 | 85 | 0.685667 | 371 | 3,000 | 5.390836 | 0.245283 | 0.084 | 0.105 | 0.12 | 0.4585 | 0.404 | 0.334 | 0.2425 | 0.1975 | 0.078 | 0 | 0.020535 | 0.139667 | 3,000 | 90 | 86 | 33.333333 | 0.754359 | 0.095667 | 0 | 0.133333 | 0 | 0 | 0.213513 | 0.008585 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0.033333 | 0.033333 | 0 | 0.133333 | 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 |
49da0b5cb2458b175611bedd60d99e1e2e8ba045 | 4,970 | py | Python | delay.py | MythologicalMC/Delay | 932902e86e9493fa5d08cdb3857d74a178e7f2bc | [
"MIT"
] | null | null | null | delay.py | MythologicalMC/Delay | 932902e86e9493fa5d08cdb3857d74a178e7f2bc | [
"MIT"
] | null | null | null | delay.py | MythologicalMC/Delay | 932902e86e9493fa5d08cdb3857d74a178e7f2bc | [
"MIT"
] | null | null | null | #imports
import os
import subprocess
from colorama import init,Fore, Back, Style
import asyncio
import urllib.parse
import time
from time import perf_counter
init(convert=True)
#vars
ver = "Beta, Lots of commits going on!"
ping = 0
pings = []
tempping = 0
searches = 0
base = 300
delay = 0
gotQ = ""
dropTime = 0
reqTime... | 37.938931 | 217 | 0.567203 | 659 | 4,970 | 4.546282 | 0.362671 | 0.066088 | 0.056409 | 0.042056 | 0.25267 | 0.25267 | 0.226636 | 0.166555 | 0.166555 | 0.166555 | 0 | 0.016725 | 0.254125 | 4,970 | 130 | 218 | 38.230769 | 0.740761 | 0.035412 | 0 | 0.3 | 0 | 0.033333 | 0.314943 | 0.013793 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.058333 | 0 | 0.141667 | 0.3 | 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 |
49da88047bb20d46e7f9d9dfc0e2238764393527 | 10,360 | py | Python | src/calc/parallel/calc_qual.py | paytonrodman/athena-analysis | f635338122e15c318dfd754d06cc3dbaa42273d2 | [
"BSD-3-Clause"
] | null | null | null | src/calc/parallel/calc_qual.py | paytonrodman/athena-analysis | f635338122e15c318dfd754d06cc3dbaa42273d2 | [
"BSD-3-Clause"
] | null | null | null | src/calc/parallel/calc_qual.py | paytonrodman/athena-analysis | f635338122e15c318dfd754d06cc3dbaa42273d2 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
#
# calc_qual.py
#
# A program to calculate the quality factors and magnetic angle within some defined region
# of an Athena++ disk using MPI
#
# To run:
# mpirun -n [n] python calc_qual.py [options]
# for [n] cores.
#
import numpy as np
import os
import sys
sys.path.insert(0, '/home/per29/rds/rd... | 40.948617 | 175 | 0.598359 | 1,506 | 10,360 | 3.946879 | 0.209163 | 0.030283 | 0.013122 | 0.017497 | 0.341016 | 0.306359 | 0.257402 | 0.210633 | 0.138795 | 0.099092 | 0 | 0.032656 | 0.263996 | 10,360 | 252 | 176 | 41.111111 | 0.746885 | 0.103378 | 0 | 0.102941 | 0 | 0.019608 | 0.181828 | 0.014602 | 0 | 0 | 0 | 0 | 0 | 1 | 0.004902 | false | 0 | 0.058824 | 0 | 0.063725 | 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 |
49dbc6af92d52afcc0e8a89b6aa09a1a1c7354f4 | 16,726 | py | Python | src/fixate/drivers/ftdi.py | stig999/Fixate | 24b4a16736c80b28f40aeb52972c52f9654983ef | [
"MIT"
] | 1 | 2017-11-23T04:18:03.000Z | 2017-11-23T04:18:03.000Z | src/fixate/drivers/ftdi.py | stig999/Fixate | 24b4a16736c80b28f40aeb52972c52f9654983ef | [
"MIT"
] | 5 | 2018-08-24T11:13:29.000Z | 2018-08-29T00:40:36.000Z | src/fixate/drivers/ftdi.py | stig999/Fixate | 24b4a16736c80b28f40aeb52972c52f9654983ef | [
"MIT"
] | null | null | null | import ctypes
import struct
import time
from fixate.core.common import bits
from fixate.core.exceptions import InstrumentError, InstrumentNotConnected
import fixate.config
import fixate.core.discover
def open(ftdi_description=""):
"""Open is the public api for the bit bang driver for discovering and opening a con... | 36.679825 | 117 | 0.598589 | 2,092 | 16,726 | 4.489962 | 0.152964 | 0.02108 | 0.0346 | 0.045992 | 0.411051 | 0.33674 | 0.316193 | 0.274247 | 0.25157 | 0.205472 | 0 | 0.018642 | 0.310475 | 16,726 | 455 | 118 | 36.76044 | 0.795803 | 0.114193 | 0 | 0.22561 | 0 | 0 | 0.047116 | 0.004622 | 0 | 0 | 0.002208 | 0 | 0 | 1 | 0.082317 | false | 0.003049 | 0.02439 | 0.015244 | 0.338415 | 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 |
49dd8d278f7b65614e35a417984b39bb22fa9ca9 | 5,621 | py | Python | geoalchemy2/tests/test_functional.py | fredj/geoalchemy2 | 9f26714e8d181440ac03d7295d34d615cac11d02 | [
"MIT"
] | null | null | null | geoalchemy2/tests/test_functional.py | fredj/geoalchemy2 | 9f26714e8d181440ac03d7295d34d615cac11d02 | [
"MIT"
] | null | null | null | geoalchemy2/tests/test_functional.py | fredj/geoalchemy2 | 9f26714e8d181440ac03d7295d34d615cac11d02 | [
"MIT"
] | null | null | null | import unittest
from nose.tools import eq_, ok_, raises
from sqlalchemy import create_engine, MetaData, Column, Integer, func
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
from geoalchemy2 import Geometry
from sqlalchemy.exc import DataError, IntegrityError, InternalE... | 29.898936 | 79 | 0.637609 | 683 | 5,621 | 5.061493 | 0.204978 | 0.036448 | 0.034712 | 0.02748 | 0.428406 | 0.349147 | 0.293318 | 0.252242 | 0.234886 | 0.216373 | 0 | 0.021201 | 0.244796 | 5,621 | 187 | 80 | 30.058824 | 0.793168 | 0.066714 | 0 | 0.395349 | 0 | 0 | 0.046645 | 0.0065 | 0 | 0 | 0 | 0 | 0 | 1 | 0.131783 | false | 0 | 0.124031 | 0 | 0.325581 | 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 |
49df0f9be98b9b2a452a359335aef6fd2e914b5c | 940 | py | Python | p138_copy_list_with_random_pointer.py | moonfruit/leetcode | 796b736d9b7b31f8052df6a0a140e34904b8230c | [
"MIT"
] | null | null | null | p138_copy_list_with_random_pointer.py | moonfruit/leetcode | 796b736d9b7b31f8052df6a0a140e34904b8230c | [
"MIT"
] | null | null | null | p138_copy_list_with_random_pointer.py | moonfruit/leetcode | 796b736d9b7b31f8052df6a0a140e34904b8230c | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- utf-8 -*-
# Definition for singly-linked list with a random pointer.
# class RandomListNode:
# def __init__(self, x):
# self.label = x
# self.next = None
# self.random = None
class Solution:
# @param head, a RandomListNode
# @return a RandomListNode
def ... | 22.926829 | 58 | 0.554255 | 114 | 940 | 4.464912 | 0.421053 | 0.035363 | 0.039293 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011254 | 0.338298 | 940 | 40 | 59 | 23.5 | 0.807074 | 0.282979 | 0 | 0.090909 | 0 | 0 | 0.012048 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.090909 | 0 | 0.272727 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
49e017e3c7994fdc80e6366ccb4d6c457be60b26 | 1,904 | py | Python | train.py | jmnybl/finnish-srl | aa53bc5e27e8c9e82bc9827602e448d805b4a960 | [
"Apache-2.0"
] | null | null | null | train.py | jmnybl/finnish-srl | aa53bc5e27e8c9e82bc9827602e448d805b4a960 | [
"Apache-2.0"
] | null | null | null | train.py | jmnybl/finnish-srl | aa53bc5e27e8c9e82bc9827602e448d805b4a960 | [
"Apache-2.0"
] | null | null | null | from data_reader import Vocabulary, transform_data, save_vocabularies, Corpus
from model import build_model
from keras.callbacks import ModelCheckpoint
def train(args):
# ARGUMENTS
training_file=args.data
minibatch=64
max_sent_len_words=30
epochs=args.epochs
corpus=Corpus(training_f... | 33.403509 | 184 | 0.719538 | 277 | 1,904 | 4.718412 | 0.389892 | 0.036725 | 0.045907 | 0.03443 | 0.255547 | 0.172915 | 0.172915 | 0.172915 | 0.172915 | 0.172915 | 0 | 0.009938 | 0.154412 | 1,904 | 56 | 185 | 34 | 0.801863 | 0.028887 | 0 | 0 | 0 | 0.066667 | 0.221378 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.133333 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
49e1f87f1d26cc79c1491809b52a416913e40d98 | 6,198 | py | Python | peekingduck/utils/requirement_checker.py | ericleehy/PeekingDuck | 8cf1be842235fa60bac13bc466cac09747a780ea | [
"Apache-2.0"
] | 1 | 2021-12-02T05:15:58.000Z | 2021-12-02T05:15:58.000Z | peekingduck/utils/requirement_checker.py | ericleehy/PeekingDuck | 8cf1be842235fa60bac13bc466cac09747a780ea | [
"Apache-2.0"
] | null | null | null | peekingduck/utils/requirement_checker.py | ericleehy/PeekingDuck | 8cf1be842235fa60bac13bc466cac09747a780ea | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 AI Singapore
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | 37.113772 | 93 | 0.649564 | 733 | 6,198 | 5.390177 | 0.321965 | 0.019489 | 0.015186 | 0.009871 | 0.112377 | 0.102759 | 0.087573 | 0.074918 | 0.074918 | 0.074918 | 0 | 0.003078 | 0.266054 | 6,198 | 166 | 94 | 37.337349 | 0.865465 | 0.408842 | 0 | 0.125 | 0 | 0 | 0.134727 | 0.022358 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.1125 | 0 | 0.225 | 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 |
49e20e1482e371d2d36af2e6abc0d413c62cd098 | 1,119 | py | Python | src/myproject/settings/admin_mail_console_handler.py | thinkAmi/DjangoCongress_JP_2019_talk | 0b746f62808d979c1570de80084686f709996e1d | [
"Unlicense"
] | 1 | 2019-05-18T04:34:59.000Z | 2019-05-18T04:34:59.000Z | src/myproject/settings/admin_mail_console_handler.py | thinkAmi/DjangoCongress_JP_2019_talk | 0b746f62808d979c1570de80084686f709996e1d | [
"Unlicense"
] | null | null | null | src/myproject/settings/admin_mail_console_handler.py | thinkAmi/DjangoCongress_JP_2019_talk | 0b746f62808d979c1570de80084686f709996e1d | [
"Unlicense"
] | null | null | null | from .base import *
# 後で確認できるよう、ファイルとして残しておく
EMAIL_BACKEND = 'django.core.mail.backends.filebased.EmailBackend'
# filebasedを使う場合は、メールの保存先も指定すること
# '.' の場合、カレントディレクトリに保存される
# EMAIL_FILE_PATH = '.'
EMAIL_FILE_PATH = str(pathlib.Path(BASE_DIR).joinpath('logs'))
ADMINS = [('Admin1', 'admin1@example.com')]
# 開発モードでもADMI... | 25.431818 | 66 | 0.570152 | 92 | 1,119 | 6.76087 | 0.576087 | 0.043408 | 0.057878 | 0.07074 | 0.109325 | 0.109325 | 0 | 0 | 0 | 0 | 0 | 0.003681 | 0.271671 | 1,119 | 44 | 67 | 25.431818 | 0.759509 | 0.151028 | 0 | 0.060606 | 0 | 0 | 0.433263 | 0.21822 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.030303 | 0 | 0.030303 | 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 |
49e262c808a1276127a4a16b770e3d39b6997140 | 7,494 | py | Python | core/tests/machine_request.py | xuhang57/atmosphere | f53fea2a74ee89ccc8852906799b1d9a7e9178b7 | [
"BSD-3-Clause"
] | null | null | null | core/tests/machine_request.py | xuhang57/atmosphere | f53fea2a74ee89ccc8852906799b1d9a7e9178b7 | [
"BSD-3-Clause"
] | null | null | null | core/tests/machine_request.py | xuhang57/atmosphere | f53fea2a74ee89ccc8852906799b1d9a7e9178b7 | [
"BSD-3-Clause"
] | null | null | null | from dateutil.relativedelta import relativedelta
from uuid import uuid4
import unittest
import pytz
from django.test import TestCase
from django.utils.timezone import datetime
from core.tests.helpers import CoreProviderMachineHelper, CoreMachineRequestHelper, CoreInstanceHelper
from service.machine import process_m... | 40.508108 | 102 | 0.665999 | 846 | 7,494 | 5.599291 | 0.156028 | 0.04391 | 0.070298 | 0.033988 | 0.432341 | 0.379143 | 0.322778 | 0.238337 | 0.210682 | 0.155373 | 0 | 0.028954 | 0.253403 | 7,494 | 184 | 103 | 40.728261 | 0.817694 | 0.054844 | 0 | 0.253425 | 0 | 0 | 0.088126 | 0 | 0 | 0 | 0 | 0 | 0.19863 | 1 | 0.061644 | false | 0.027397 | 0.054795 | 0 | 0.150685 | 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 |
49e3a9de96ed6a59b374bbb066c35f87db59257f | 3,455 | py | Python | infoblox_netmri/api/remote/models/device_zone_remote.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | infoblox_netmri/api/remote/models/device_zone_remote.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | infoblox_netmri/api/remote/models/device_zone_remote.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | from ..remote import RemoteModel
from infoblox_netmri.utils.utils import check_api_availability
class DeviceZoneRemote(RemoteModel):
"""
Zones defined on a traffic filtering device. On devices that do not natively support zones (e.g., Cisco routers), there is one zone per interface, plus an additional 'intern... | 31.697248 | 186 | 0.600868 | 334 | 3,455 | 6.176647 | 0.356287 | 0.100824 | 0.041202 | 0.052351 | 0.301987 | 0.223946 | 0.150267 | 0.113427 | 0.056229 | 0.056229 | 0 | 0 | 0.304486 | 3,455 | 109 | 187 | 31.697248 | 0.85851 | 0.577713 | 0 | 0.206897 | 0 | 0 | 0.180272 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.068966 | 0 | 0.344828 | 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 |
49e502e61c40a6d5ce473d9fc363be1b2927b0ab | 1,019 | py | Python | simple_history/management/commands/_populate_utils.py | SummitESP/django-simple-history | 78c929159263dd583bd4d8d5a28a274a9ad6be0b | [
"BSD-3-Clause"
] | null | null | null | simple_history/management/commands/_populate_utils.py | SummitESP/django-simple-history | 78c929159263dd583bd4d8d5a28a274a9ad6be0b | [
"BSD-3-Clause"
] | 1 | 2018-01-09T20:51:34.000Z | 2018-01-09T20:51:34.000Z | simple_history/management/commands/_populate_utils.py | SummitESP/django-simple-history | 78c929159263dd583bd4d8d5a28a274a9ad6be0b | [
"BSD-3-Clause"
] | null | null | null | from django.utils.timezone import now
class NotHistorical(TypeError):
"""No related history model found."""
def get_history_model_for_model(model):
"""Find the history model for a given app model."""
try:
manager_name = model._meta.simple_history_manager_attribute
except AttributeError:
... | 36.392857 | 68 | 0.677134 | 120 | 1,019 | 5.541667 | 0.45 | 0.108271 | 0.045113 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.22473 | 1,019 | 27 | 69 | 37.740741 | 0.841772 | 0.128557 | 0 | 0 | 0 | 0 | 0.079128 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.055556 | 0 | 0.277778 | 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 |
49e6d32460dd6b58678d99ca2b2edccf4f319501 | 1,174 | py | Python | anagrams.py | zubrik13/coding_intrv_prer | 853a7c8357ad43601313daadcc1c494d403a9aa0 | [
"MIT"
] | null | null | null | anagrams.py | zubrik13/coding_intrv_prer | 853a7c8357ad43601313daadcc1c494d403a9aa0 | [
"MIT"
] | null | null | null | anagrams.py | zubrik13/coding_intrv_prer | 853a7c8357ad43601313daadcc1c494d403a9aa0 | [
"MIT"
] | null | null | null | """
A student is taking a cryptography class and has found anagrams to be very useful.
Two strings are anagrams of each other if the first string's letters can be
rearranged to form the second string. In other words, both strings must
contain the same exact letters in the same exact frequency. For example,
bacdc an... | 30.894737 | 83 | 0.70017 | 200 | 1,174 | 4.07 | 0.445 | 0.058968 | 0.029484 | 0.044226 | 0.12285 | 0.12285 | 0.12285 | 0.12285 | 0.12285 | 0 | 0 | 0.003375 | 0.24276 | 1,174 | 38 | 84 | 30.894737 | 0.912261 | 0.683135 | 0 | 0.111111 | 0 | 0 | 0.027397 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.055556 | 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 |
49e795b64e0b3cac7465448efafac4bd98ed4236 | 267 | py | Python | PhoenixNow/login.py | ECGHelloWorld/PhoenixNow | 88f98f59a91a4e99763ae4432df7945d811b63bf | [
"MIT"
] | 2 | 2017-02-06T15:42:27.000Z | 2021-01-14T15:13:08.000Z | PhoenixNow/login.py | ECGHelloWorld/PhoenixNow | 88f98f59a91a4e99763ae4432df7945d811b63bf | [
"MIT"
] | null | null | null | PhoenixNow/login.py | ECGHelloWorld/PhoenixNow | 88f98f59a91a4e99763ae4432df7945d811b63bf | [
"MIT"
] | 6 | 2016-07-30T19:57:19.000Z | 2019-08-06T03:44:54.000Z | from flask_login import LoginManager
from PhoenixNow.model import User
login_manager = LoginManager()
login_manager.login_view = "regular.signin"
@login_manager.user_loader
def load_user(user_id):
user = User.query.filter_by(id=user_id).first()
return user
| 24.272727 | 51 | 0.794007 | 39 | 267 | 5.179487 | 0.538462 | 0.178218 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.11985 | 267 | 10 | 52 | 26.7 | 0.859574 | 0 | 0 | 0 | 0 | 0 | 0.052434 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.25 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
49ea4f99ec3b4e468aba9dc32ef313173fda7ba3 | 6,995 | py | Python | tests/tests_geomstats/test_general_linear.py | tfunatomi/geomstats | a5651680f98dea95c1f82a48af1a6dccf3e26bd1 | [
"MIT"
] | 2 | 2020-01-23T04:01:02.000Z | 2020-08-18T19:20:27.000Z | tests/tests_geomstats/test_general_linear.py | tfunatomi/geomstats | a5651680f98dea95c1f82a48af1a6dccf3e26bd1 | [
"MIT"
] | null | null | null | tests/tests_geomstats/test_general_linear.py | tfunatomi/geomstats | a5651680f98dea95c1f82a48af1a6dccf3e26bd1 | [
"MIT"
] | null | null | null | """Unit tests for the General Linear group."""
import warnings
import tests.helper as helper
import geomstats.backend as gs
import geomstats.tests
from geomstats.geometry.general_linear import GeneralLinear
RTOL = 1e-5
class TestGeneralLinear(geomstats.tests.TestCase):
def setUp(self):
gs.random.seed(... | 32.840376 | 74 | 0.501358 | 815 | 6,995 | 4.195092 | 0.133742 | 0.029248 | 0.020181 | 0.131032 | 0.647558 | 0.576777 | 0.568002 | 0.513308 | 0.449839 | 0.449839 | 0 | 0.063447 | 0.348821 | 6,995 | 212 | 75 | 32.995283 | 0.687157 | 0.005718 | 0 | 0.5 | 0 | 0 | 0.000863 | 0 | 0 | 0 | 0 | 0 | 0.113636 | 1 | 0.102273 | false | 0 | 0.034091 | 0 | 0.142045 | 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 |
49eb7a1d598ee46402c3d994c365fef1314082ef | 454 | py | Python | teszt/test_feladat03-06.py | python-feladatok-tesztekkel/05-01-10-dolgozat | ce1c8568daf83dc86bba1fb325cb7b8d1cf0dd3f | [
"CC0-1.0"
] | null | null | null | teszt/test_feladat03-06.py | python-feladatok-tesztekkel/05-01-10-dolgozat | ce1c8568daf83dc86bba1fb325cb7b8d1cf0dd3f | [
"CC0-1.0"
] | null | null | null | teszt/test_feladat03-06.py | python-feladatok-tesztekkel/05-01-10-dolgozat | ce1c8568daf83dc86bba1fb325cb7b8d1cf0dd3f | [
"CC0-1.0"
] | null | null | null | from unittest import TestCase
import os,sys,inspect
current_dir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parent_dir = os.path.dirname(current_dir)
sys.path.insert(0, parent_dir)
import feladatok
class TestEBetukSzama6(TestCase):
def test_feladat06(self):
aktualis = fela... | 32.428571 | 92 | 0.746696 | 62 | 454 | 5.370968 | 0.629032 | 0.054054 | 0.054054 | 0.096096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012953 | 0.14978 | 454 | 14 | 92 | 32.428571 | 0.849741 | 0 | 0 | 0 | 0 | 0 | 0.101099 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.090909 | false | 0 | 0.272727 | 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 |
49ef52693c6a396a1581cc399d1886b8613380b6 | 1,067 | py | Python | json2graph.py | daveshah1/hypergraph_part | cea56e615eec01cb536ed23206ed101c213864a5 | [
"0BSD"
] | null | null | null | json2graph.py | daveshah1/hypergraph_part | cea56e615eec01cb536ed23206ed101c213864a5 | [
"0BSD"
] | null | null | null | json2graph.py | daveshah1/hypergraph_part | cea56e615eec01cb536ed23206ed101c213864a5 | [
"0BSD"
] | null | null | null | #!/usr/bin/env python3
# Convert Yosys JSON to simple text hypergraph for performance testing
import sys, json
node_count = 0
edge2node = {}
netlist = None
with open(sys.argv[1]) as jf:
netlist = json.load(jf)
top_module = None
for name, module in sorted(netlist["modules"].items()):
if "attributes" not in modul... | 24.25 | 76 | 0.665417 | 169 | 1,067 | 4.153846 | 0.390533 | 0.064103 | 0.031339 | 0.042735 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019231 | 0.171509 | 1,067 | 43 | 77 | 24.813953 | 0.774887 | 0.084349 | 0 | 0.151515 | 0 | 0 | 0.094359 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.030303 | 0 | 0.030303 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
49f13b101323835947d8e0f19cb369eece2aefcf | 3,966 | py | Python | tools/lstm_dql_6.py | alexis-jacq/signals | 3c960e125ed5265dfc9cd3278df948f3c846a5dd | [
"0BSD"
] | 1 | 2020-02-18T12:52:02.000Z | 2020-02-18T12:52:02.000Z | tools/lstm_dql_6.py | alexis-jacq/signals | 3c960e125ed5265dfc9cd3278df948f3c846a5dd | [
"0BSD"
] | null | null | null | tools/lstm_dql_6.py | alexis-jacq/signals | 3c960e125ed5265dfc9cd3278df948f3c846a5dd | [
"0BSD"
] | null | null | null | from Tkinter import *
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.autograd as autograd
from torch.autograd import Variable
master = Tk()
goal = 0
var_goal = StringVar()
GAMMA = 0.9
last_state = Variable(torch.Tensor([0,0,0,0,0,0])).u... | 28.73913 | 122 | 0.660111 | 570 | 3,966 | 4.461404 | 0.221053 | 0.031459 | 0.028313 | 0.023594 | 0.21628 | 0.187181 | 0.1337 | 0.10696 | 0.065277 | 0.037751 | 0 | 0.027523 | 0.202975 | 3,966 | 137 | 123 | 28.948905 | 0.776969 | 0.015633 | 0 | 0.038462 | 0 | 0 | 0.010376 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067308 | false | 0 | 0.076923 | 0 | 0.173077 | 0.038462 | 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 |
49f1fc4e36bfb8c6234c3e939d335df6e0c3dae5 | 500 | py | Python | Engine/Shaders/compile_all_shader.py | ValtoGameEngines/Fish-Engine | a4b9fb9b0a6dc202f7990e75f4b7d8d5163209d9 | [
"MIT"
] | 240 | 2017-02-17T10:08:19.000Z | 2022-03-25T14:45:29.000Z | Engine/Shaders/compile_all_shader.py | ValtoGameEngines/Fish-Engine | a4b9fb9b0a6dc202f7990e75f4b7d8d5163209d9 | [
"MIT"
] | 2 | 2016-10-12T07:08:38.000Z | 2017-04-05T01:56:30.000Z | Engine/Shaders/compile_all_shader.py | yushroom/FishEngine | a4b9fb9b0a6dc202f7990e75f4b7d8d5163209d9 | [
"MIT"
] | 39 | 2017-03-02T09:40:07.000Z | 2021-12-04T07:28:53.000Z | import os
import sys
compiler = r'../Binary/RelWithDebInfo/ShaderCompiler'
#compiler = r'../Binary/Debug/ShaderCompiler'
shader_dirs = ['.', './Editor']
count = 0
for d in shader_dirs:
for fn in os.listdir(d):
print(fn)
ext = fn.split('.')[-1]
if ext in ['surf', 'shader']:
cmd = compiler + ' ' + os.path.ab... | 22.727273 | 62 | 0.624 | 72 | 500 | 4.305556 | 0.513889 | 0.058065 | 0.096774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009756 | 0.18 | 500 | 22 | 63 | 22.727273 | 0.746341 | 0.088 | 0 | 0 | 0 | 0 | 0.221491 | 0.085526 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.117647 | 0 | 0.117647 | 0.235294 | 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 |
49f2ebec4bd34c27d749eb184a9d941a3fa4ea04 | 14,058 | py | Python | rbb_server/src/rbb_swagger_server/models/simulation_detailed.py | SK4P3/rbb_core | 618617270314af5335de30179072244e1f440c4c | [
"MIT"
] | 55 | 2019-05-09T06:43:05.000Z | 2021-12-08T05:56:43.000Z | rbb_server/src/rbb_swagger_server/models/simulation_detailed.py | SK4P3/rbb_core | 618617270314af5335de30179072244e1f440c4c | [
"MIT"
] | 5 | 2019-09-08T15:33:28.000Z | 2021-04-17T17:30:53.000Z | rbb_server/src/rbb_swagger_server/models/simulation_detailed.py | SK4P3/rbb_core | 618617270314af5335de30179072244e1f440c4c | [
"MIT"
] | 16 | 2019-08-08T07:15:35.000Z | 2021-12-07T15:34:41.000Z | # coding: utf-8
from __future__ import absolute_import
from datetime import date, datetime # noqa: F401
from typing import List, Dict # noqa: F401
from rbb_swagger_server.models.base_model_ import Model
from rbb_swagger_server.models.simulation_environment_detailed import SimulationEnvironmentDetailed # noqa: F40... | 34.20438 | 413 | 0.660905 | 1,537 | 14,058 | 5.866623 | 0.075472 | 0.073195 | 0.175668 | 0.043473 | 0.63591 | 0.529888 | 0.480093 | 0.270711 | 0.259177 | 0.212266 | 0 | 0.015862 | 0.264547 | 14,058 | 410 | 414 | 34.287805 | 0.856272 | 0.457391 | 0 | 0.265306 | 0 | 0 | 0.119226 | 0.0103 | 0 | 0 | 0 | 0 | 0 | 1 | 0.190476 | false | 0 | 0.061224 | 0 | 0.353742 | 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 |
49f3758e9d44d3107ec62931b01722d7ad937589 | 5,857 | py | Python | src/pathlinker.py | melliott432/spras | ba914f6a55a51c3e3b55b56844a533ff2936fae5 | [
"MIT"
] | 3 | 2021-05-05T23:40:39.000Z | 2021-05-13T03:35:22.000Z | src/pathlinker.py | melliott432/spras | ba914f6a55a51c3e3b55b56844a533ff2936fae5 | [
"MIT"
] | 41 | 2021-04-27T01:48:28.000Z | 2022-03-14T20:11:24.000Z | src/pathlinker.py | melliott432/spras | ba914f6a55a51c3e3b55b56844a533ff2936fae5 | [
"MIT"
] | 2 | 2021-07-06T18:27:19.000Z | 2022-01-25T03:56:49.000Z | import docker
import os
import sys
import pandas as pd
import warnings
from src.PRM import PRM
from pathlib import Path
from src.util import prepare_path_docker
__all__ = ['PathLinker']
class PathLinker(PRM):
required_inputs = ['nodetypes', 'network']
@staticmethod
def generate_inputs(data, filename_map)... | 42.751825 | 177 | 0.626771 | 717 | 5,857 | 4.983264 | 0.357043 | 0.035264 | 0.014274 | 0.009516 | 0.095718 | 0.048139 | 0.048139 | 0.048139 | 0.048139 | 0.048139 | 0 | 0.002144 | 0.283422 | 5,857 | 136 | 178 | 43.066176 | 0.849178 | 0.314495 | 0 | 0.121622 | 0 | 0 | 0.134805 | 0.022857 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040541 | false | 0 | 0.108108 | 0 | 0.189189 | 0.013514 | 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 |
49f40691673fa4f67fa8dd4ced6c7bd474270052 | 4,978 | py | Python | stonesoup/hypothesiser/gaussianmixture.py | mgomesborges/Stone-Soup | 39c7f02ce11e10c9b3c612ad359f6d8bca495266 | [
"MIT"
] | 1 | 2019-12-26T14:55:03.000Z | 2019-12-26T14:55:03.000Z | stonesoup/hypothesiser/gaussianmixture.py | mgomesborges/Stone-Soup | 39c7f02ce11e10c9b3c612ad359f6d8bca495266 | [
"MIT"
] | null | null | null | stonesoup/hypothesiser/gaussianmixture.py | mgomesborges/Stone-Soup | 39c7f02ce11e10c9b3c612ad359f6d8bca495266 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from .base import Hypothesiser
from ..base import Property
from ..types.multihypothesis import MultipleHypothesis
from ..types.prediction import (TaggedWeightedGaussianStatePrediction,
WeightedGaussianStatePrediction)
from ..types.state import TaggedWeightedGaussi... | 45.669725 | 96 | 0.606268 | 427 | 4,978 | 6.978923 | 0.30445 | 0.053691 | 0.018456 | 0.008054 | 0.127517 | 0.087919 | 0.087919 | 0.087919 | 0.087919 | 0.087919 | 0 | 0.000914 | 0.340498 | 4,978 | 108 | 97 | 46.092593 | 0.906793 | 0.276416 | 0 | 0.133333 | 0 | 0 | 0.055425 | 0.008504 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016667 | false | 0 | 0.083333 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
49f6c77afc94bafb870dc3b17a265d3485c6c64e | 2,909 | py | Python | visualization/histogram.py | SalikLP/classification-of-encrypted-traffic | 3c86e098aab58941f9339bb64945c1112ab556ef | [
"MIT"
] | 35 | 2018-05-25T16:48:23.000Z | 2022-03-15T14:35:07.000Z | visualization/histogram.py | SalikLP/classification-of-encrypted-traffic | 3c86e098aab58941f9339bb64945c1112ab556ef | [
"MIT"
] | 3 | 2018-03-18T13:03:09.000Z | 2020-01-17T12:09:12.000Z | visualization/histogram.py | SalikLP/classification-of-encrypted-traffic | 3c86e098aab58941f9339bb64945c1112ab556ef | [
"MIT"
] | 14 | 2018-05-25T16:48:24.000Z | 2022-01-04T12:56:31.000Z | import pandas as pd
import numpy as np
from sklearn.preprocessing import LabelEncoder
from sklearn.preprocessing import StandardScaler
from sklearn.cross_validation import train_test_split
import utils
import glob, os
import pca.dataanalyzer as da, pca.pca as pca
from sklearn.metrics import accuracy_score
# visulaize ... | 36.822785 | 127 | 0.700928 | 438 | 2,909 | 4.550228 | 0.442922 | 0.035123 | 0.027597 | 0.050176 | 0.092323 | 0.080281 | 0.080281 | 0.080281 | 0 | 0 | 0 | 0.025838 | 0.148505 | 2,909 | 79 | 128 | 36.822785 | 0.778765 | 0.268133 | 0 | 0 | 0 | 0 | 0.167693 | 0.110848 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.22 | 0 | 0.22 | 0.02 | 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 |
49fab0bf939b0f4cf2782196c0ddc5090bf9b5e5 | 4,508 | py | Python | qulab/drivers/AFG3102.py | liuqichun3809/quantum-lab | 05bea707b314ea1687866f56ee439079336cfbbc | [
"MIT"
] | 3 | 2020-08-30T16:11:49.000Z | 2021-03-05T12:09:30.000Z | qulab/drivers/AFG3102.py | liuqichun3809/quantum-lab | 05bea707b314ea1687866f56ee439079336cfbbc | [
"MIT"
] | null | null | null | qulab/drivers/AFG3102.py | liuqichun3809/quantum-lab | 05bea707b314ea1687866f56ee439079336cfbbc | [
"MIT"
] | 2 | 2019-07-24T15:12:31.000Z | 2019-09-20T02:17:28.000Z | # -*- coding: utf-8 -*-
import time
import numpy as np
from qulab.device import BaseDriver, QInteger, QOption, QReal, QString, QVector
class Driver(BaseDriver):
error_command = '*ESR?'
support_models = ['AFG3102']
quants = [
QOption('Output',ch=1,
set_cmd='OUTP%(ch)d %(option)s', get_... | 53.035294 | 132 | 0.618234 | 674 | 4,508 | 4.074184 | 0.289318 | 0.032775 | 0.09177 | 0.101967 | 0.358339 | 0.304443 | 0.267662 | 0.261835 | 0.245812 | 0.22906 | 0 | 0.033804 | 0.166593 | 4,508 | 84 | 133 | 53.666667 | 0.697099 | 0.114685 | 0 | 0.033898 | 0 | 0 | 0.382175 | 0.060423 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033898 | false | 0 | 0.050847 | 0 | 0.152542 | 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 |
49fc564845398fd6fccf8887fc72513069095963 | 1,357 | py | Python | 02-intermediate/lstm_network/main.py | kevin2018pg/pytorch-notes | 4ba3827fccbf17ec446b2538186dd78dea3ecb50 | [
"MIT"
] | 1 | 2020-12-03T02:41:07.000Z | 2020-12-03T02:41:07.000Z | 02-intermediate/lstm_network/main.py | kevin2018pg/pytorch-notes | 4ba3827fccbf17ec446b2538186dd78dea3ecb50 | [
"MIT"
] | null | null | null | 02-intermediate/lstm_network/main.py | kevin2018pg/pytorch-notes | 4ba3827fccbf17ec446b2538186dd78dea3ecb50 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import torch
import torch.nn as nn
"""
输入3个句子,每个句子由5个单词构成,每个单词词向量10维
batch=3, seq_len=5, Embedding=10
"""
# 设置LSTM参数,词向量维数10,隐藏元维度20,2个LSTM隐藏层,双向LSTM
bilstm = nn.LSTM(input_size=10, hidden_size=20, num_layers=2, bidirectional=True)
# 如下表示输入句子
input = torch.randn(5, 3, 10)
# 初始化的隐藏元和记忆元,通常维度一样
... | 41.121212 | 106 | 0.740604 | 209 | 1,357 | 4.665072 | 0.30622 | 0.092308 | 0.01641 | 0.061538 | 0.289231 | 0.289231 | 0.289231 | 0.235897 | 0.235897 | 0.235897 | 0 | 0.05668 | 0.089904 | 1,357 | 32 | 107 | 42.40625 | 0.732794 | 0.496684 | 0 | 0 | 0 | 0 | 0.051926 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0.277778 | 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 |
b700ba706143879736399c02f81312c27b36379e | 513 | py | Python | userbot/plugins/funtxts.py | kumar451/CatUserbot | 44fab853232fad163fee63565cc4f3e645596527 | [
"MIT"
] | null | null | null | userbot/plugins/funtxts.py | kumar451/CatUserbot | 44fab853232fad163fee63565cc4f3e645596527 | [
"MIT"
] | null | null | null | userbot/plugins/funtxts.py | kumar451/CatUserbot | 44fab853232fad163fee63565cc4f3e645596527 | [
"MIT"
] | null | null | null | import nekos
from ..utils import admin_cmd
@borg.on(admin_cmd(pattern = "tcat$"))
async def hmm(cat):
if cat.fwd_from:
return
reactcat = nekos.textcat()
await cat.edit(reactcat)
@borg.on(admin_cmd(pattern = "why$"))
async def hmm(cat):
if cat.fwd_from:
return
whycat = nekos... | 21.375 | 38 | 0.619883 | 73 | 513 | 4.260274 | 0.342466 | 0.102894 | 0.106109 | 0.135048 | 0.511254 | 0.308682 | 0.308682 | 0.308682 | 0.308682 | 0 | 0 | 0 | 0.247563 | 513 | 23 | 39 | 22.304348 | 0.805699 | 0 | 0 | 0.45 | 0 | 0 | 0.02729 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 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 |
b700c7a198400a2306ffbc65c60b311d50ca469c | 2,518 | py | Python | tests/test_thread_python_exit.py | justengel/continuous_threading | 33e109df22eee202774975a3a940fb15164e6a78 | [
"MIT"
] | 7 | 2020-05-30T05:57:39.000Z | 2022-03-05T06:09:26.000Z | tests/test_thread_python_exit.py | justengel/continuous_threading | 33e109df22eee202774975a3a940fb15164e6a78 | [
"MIT"
] | 2 | 2020-05-30T15:12:44.000Z | 2020-10-06T12:54:41.000Z | tests/test_thread_python_exit.py | justengel/continuous_threading | 33e109df22eee202774975a3a940fb15164e6a78 | [
"MIT"
] | 1 | 2020-03-03T19:37:44.000Z | 2020-03-03T19:37:44.000Z | import time
import continuous_threading
def test_thread():
class Thread(continuous_threading.Thread):
def _run(self, *args, **kwargs):
print('here')
th = Thread()
th.start()
time.sleep(0.1)
def test_continuous():
class CountingThread(continuous_threading.ContinuousThread):
... | 25.18 | 106 | 0.608817 | 319 | 2,518 | 4.595611 | 0.30094 | 0.042974 | 0.060027 | 0.04502 | 0.225784 | 0.18895 | 0.159618 | 0.126876 | 0.126876 | 0.126876 | 0 | 0.019284 | 0.27919 | 2,518 | 99 | 107 | 25.434343 | 0.78843 | 0.142573 | 0 | 0.369231 | 0 | 0 | 0.052632 | 0 | 0 | 0 | 0 | 0 | 0.030769 | 1 | 0.169231 | false | 0 | 0.046154 | 0 | 0.276923 | 0.076923 | 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 |
b7065834b7518e12325dc5b9284ed2b6d23d7a2b | 5,221 | py | Python | src/globus_cli/login_manager/tokenstore.py | sirosen/temp-cli-test | 416fd3fea17b4c7c2cf35d6ccde63cb5719a1af6 | [
"Apache-2.0"
] | 47 | 2016-04-21T19:51:17.000Z | 2022-02-25T14:13:30.000Z | src/globus_cli/login_manager/tokenstore.py | sirosen/temp-cli-test | 416fd3fea17b4c7c2cf35d6ccde63cb5719a1af6 | [
"Apache-2.0"
] | 421 | 2016-04-20T18:45:24.000Z | 2022-03-14T14:50:41.000Z | src/globus_cli/login_manager/tokenstore.py | sirosen/temp-cli-test | 416fd3fea17b4c7c2cf35d6ccde63cb5719a1af6 | [
"Apache-2.0"
] | 20 | 2016-09-10T20:25:27.000Z | 2021-10-06T16:02:47.000Z | import os
import sys
import globus_sdk
from globus_sdk.tokenstorage import SQLiteAdapter
from ._old_config import invalidate_old_config
# internal constants
_CLIENT_DATA_CONFIG_KEY = "auth_client_data"
# env vars used throughout this module
GLOBUS_ENV = os.environ.get("GLOBUS_SDK_ENVIRONMENT")
GLOBUS_PROFILE = os.e... | 34.348684 | 88 | 0.679755 | 668 | 5,221 | 5.118263 | 0.332335 | 0.023399 | 0.0389 | 0.022229 | 0.0506 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030235 | 0.23348 | 5,221 | 151 | 89 | 34.576159 | 0.824088 | 0.329822 | 0 | 0.04878 | 0 | 0 | 0.181234 | 0.084771 | 0 | 0 | 0 | 0 | 0 | 1 | 0.109756 | false | 0.012195 | 0.060976 | 0 | 0.280488 | 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 |
b70b18ff12c786f422768e26c9e8b6e9b54e1407 | 2,281 | py | Python | tf2onnx/optimizer/optimizer_base.py | gcunhase/tensorflow-onnx | 8a61c99fbc39c36d70781f95e2c7c582f46ba2db | [
"Apache-2.0"
] | 1,473 | 2018-03-16T02:47:33.000Z | 2022-03-31T03:43:52.000Z | tf2onnx/optimizer/optimizer_base.py | gcunhase/tensorflow-onnx | 8a61c99fbc39c36d70781f95e2c7c582f46ba2db | [
"Apache-2.0"
] | 1,208 | 2018-03-14T09:58:49.000Z | 2022-03-31T17:56:20.000Z | tf2onnx/optimizer/optimizer_base.py | gcunhase/tensorflow-onnx | 8a61c99fbc39c36d70781f95e2c7c582f46ba2db | [
"Apache-2.0"
] | 350 | 2018-04-03T03:48:40.000Z | 2022-03-30T11:23:55.000Z | # SPDX-License-Identifier: Apache-2.0
"""Graph Optimizer Base"""
import copy
from .. import logging, utils
class GraphOptimizerBase(object):
"""optimizer graph to improve performance
"""
def __init__(self):
self._logger = logging.getLogger('.'.join(__name__.split('.')[:-1] + [self.__class__._... | 29.623377 | 112 | 0.615081 | 277 | 2,281 | 4.790614 | 0.353791 | 0.040693 | 0.054258 | 0.036172 | 0.069329 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004857 | 0.277948 | 2,281 | 76 | 113 | 30.013158 | 0.80085 | 0.147742 | 0 | 0.108696 | 0 | 0 | 0.015005 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.195652 | false | 0 | 0.043478 | 0.065217 | 0.369565 | 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 |
b70b7e3ec23c6100b7d22c2fc18a52d85615b5ef | 3,299 | py | Python | train.py | anishjain18/Trigger-Word-Detector | 85d635cabc553c612db414853b4569ec869d9bf7 | [
"MIT"
] | 15 | 2021-11-03T04:33:22.000Z | 2022-03-30T18:24:57.000Z | train.py | anishjain18/Trigger-Word-Detector | 85d635cabc553c612db414853b4569ec869d9bf7 | [
"MIT"
] | null | null | null | train.py | anishjain18/Trigger-Word-Detector | 85d635cabc553c612db414853b4569ec869d9bf7 | [
"MIT"
] | 21 | 2021-11-03T04:34:11.000Z | 2022-03-22T10:17:06.000Z | import numpy as np
from pydub import AudioSegment
import random
import sys
import io
import os
import glob
import IPython
from td_utils import *
from tensorflow.keras.callbacks import ModelCheckpoint
from tensorflow.keras.models import Model, load_model, Sequential
from tensorflow.keras.layers import Dense, Activation... | 34.726316 | 109 | 0.632313 | 469 | 3,299 | 4.362473 | 0.336887 | 0.031281 | 0.055718 | 0.025415 | 0.328446 | 0.22043 | 0.166178 | 0.166178 | 0.166178 | 0.166178 | 0 | 0.035685 | 0.252501 | 3,299 | 95 | 110 | 34.726316 | 0.792376 | 0.265232 | 0 | 0.169811 | 0 | 0 | 0.088285 | 0.019525 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018868 | false | 0 | 0.283019 | 0 | 0.320755 | 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 |
b70ca02982a56be8fc00bc20da13192c0eb44f5a | 1,753 | py | Python | armchem/workspace.py | mmgalushka/armchem | 00bd0d2085b47b03724af422b75e2801619b8c03 | [
"MIT"
] | 3 | 2020-05-13T21:48:26.000Z | 2020-10-18T14:42:00.000Z | armchem/workspace.py | mmgalushka/armchem | 00bd0d2085b47b03724af422b75e2801619b8c03 | [
"MIT"
] | null | null | null | armchem/workspace.py | mmgalushka/armchem | 00bd0d2085b47b03724af422b75e2801619b8c03 | [
"MIT"
] | 1 | 2022-02-27T01:04:38.000Z | 2022-02-27T01:04:38.000Z | # =====================================================
# Copyright (c) 2017-present, AUROMIND Ltd.
# =====================================================
import os
from network import NeuralNetwork
from experiments import Experiment
from utils import save_object, load_object
# ------------------------------------... | 31.872727 | 84 | 0.497433 | 158 | 1,753 | 5.21519 | 0.348101 | 0.050971 | 0.084951 | 0.050971 | 0.271845 | 0.235437 | 0.14199 | 0.11165 | 0.11165 | 0.11165 | 0 | 0.002994 | 0.237878 | 1,753 | 55 | 85 | 31.872727 | 0.613772 | 0.22818 | 0 | 0.125 | 0 | 0 | 0.051339 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0.03125 | 0.34375 | 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 |
b70d32e911f44e99f8dbffab2918320edced91af | 4,353 | py | Python | uge/objects/cluster_queue_v1_0.py | gridengine/config-api | 694f9667bb6569170356336283a18351456e8b82 | [
"Apache-2.0"
] | 6 | 2017-01-18T00:11:19.000Z | 2022-02-10T08:18:00.000Z | uge/objects/cluster_queue_v1_0.py | gridengine/config-api | 694f9667bb6569170356336283a18351456e8b82 | [
"Apache-2.0"
] | 3 | 2017-05-11T13:54:42.000Z | 2020-08-12T06:15:43.000Z | uge/objects/cluster_queue_v1_0.py | gridengine/config-api | 694f9667bb6569170356336283a18351456e8b82 | [
"Apache-2.0"
] | 4 | 2017-05-11T13:27:33.000Z | 2019-10-29T02:02:24.000Z | #!/usr/bin/env python
#
# ___INFO__MARK_BEGIN__
#######################################################################################
# Copyright 2016-2021 Univa Corporation (acquired and owned by Altair Engineering Inc.)
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file e... | 33.484615 | 172 | 0.574546 | 499 | 4,353 | 4.799599 | 0.39479 | 0.056785 | 0.030063 | 0.020042 | 0.107307 | 0.061795 | 0 | 0 | 0 | 0 | 0 | 0.012022 | 0.254767 | 4,353 | 129 | 173 | 33.744186 | 0.726264 | 0.348955 | 0 | 0 | 0 | 0 | 0.295858 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012987 | false | 0 | 0.012987 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b70d6fb35471bf494fd9d6d6d9ddbd3c3ad564bf | 6,789 | py | Python | decomplz4l_prep/__init__.py | Tiempogithub/decomplz4l | 1043daf70072bb4dc229c7503bce3b212156921b | [
"BSD-3-Clause"
] | 1 | 2020-02-28T16:21:00.000Z | 2020-02-28T16:21:00.000Z | decomplz4l_prep/__init__.py | Tiempogithub/decomplz4l | 1043daf70072bb4dc229c7503bce3b212156921b | [
"BSD-3-Clause"
] | null | null | null | decomplz4l_prep/__init__.py | Tiempogithub/decomplz4l | 1043daf70072bb4dc229c7503bce3b212156921b | [
"BSD-3-Clause"
] | 2 | 2019-06-28T21:36:01.000Z | 2019-08-19T07:55:51.000Z | #!/usr/bin/env python3
import os
import sys
import runpy
from intelhex import IntelHex
#import lz4.frame
import subprocess
import shutil
def get_section_from_elf(elf,section_name):
objdump = shutil.which('objdump')
cmd = [ objdump,elf,'-h','--section='+section_name]
out=""
res=subprocess.run(cmd, stdou... | 37.098361 | 162 | 0.627338 | 976 | 6,789 | 4.129098 | 0.190574 | 0.11464 | 0.051613 | 0.049132 | 0.253846 | 0.216129 | 0.163772 | 0.122581 | 0.092308 | 0.092308 | 0 | 0.022794 | 0.243924 | 6,789 | 182 | 163 | 37.302198 | 0.762322 | 0.092944 | 0 | 0.18705 | 0 | 0.007194 | 0.128239 | 0 | 0 | 0 | 0.000652 | 0 | 0.014388 | 1 | 0.021583 | false | 0 | 0.043165 | 0.007194 | 0.086331 | 0.100719 | 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 |
b70e5693b800019c043a966f67e793acac17d9e5 | 3,819 | py | Python | application/views/service/service.py | celerysoft/scholar-tool-manager | 6188d981266eeec391ba646b9c7dc426ddec37e8 | [
"Apache-2.0"
] | null | null | null | application/views/service/service.py | celerysoft/scholar-tool-manager | 6188d981266eeec391ba646b9c7dc426ddec37e8 | [
"Apache-2.0"
] | 3 | 2019-04-29T22:55:49.000Z | 2020-05-14T14:35:42.000Z | application/views/service/service.py | celerysoft/ScholarToolManager | 6188d981266eeec391ba646b9c7dc426ddec37e8 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from flask import make_response, Blueprint
from app import derive_import_root, add_url_rules_for_blueprint
from application import exception
from application.model.service import Service
from application.model.service_template import ServiceTemplate
from application.util.database import session... | 38.19 | 101 | 0.625556 | 418 | 3,819 | 5.449761 | 0.260766 | 0.035558 | 0.021071 | 0.023705 | 0.289728 | 0.184372 | 0.160667 | 0.122915 | 0.087796 | 0.048288 | 0 | 0.002907 | 0.279393 | 3,819 | 99 | 102 | 38.575758 | 0.824855 | 0.005499 | 0 | 0.157895 | 0 | 0 | 0.040042 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065789 | false | 0 | 0.105263 | 0 | 0.263158 | 0.052632 | 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 |
b713b15110cb69ba0de9387f17cdd3a78231774b | 3,736 | py | Python | architect/design/bounded_exogenous_parameters.py | MIT-REALM/architect | 1b5bbf6ddf08146cd3b8ad5c058539ac140e9ebb | [
"BSD-2-Clause"
] | 2 | 2022-03-30T03:07:26.000Z | 2022-03-30T17:35:21.000Z | architect/design/bounded_exogenous_parameters.py | MIT-REALM/architect | 1b5bbf6ddf08146cd3b8ad5c058539ac140e9ebb | [
"BSD-2-Clause"
] | null | null | null | architect/design/bounded_exogenous_parameters.py | MIT-REALM/architect | 1b5bbf6ddf08146cd3b8ad5c058539ac140e9ebb | [
"BSD-2-Clause"
] | null | null | null | """Exogenous parameters are anything "uncontrollable" that affect the design; these are
what we consider robustness against and are typically drawn from some distribution
"""
from typing import Optional, Sequence, Tuple, Union
import jax
import jax.numpy as jnp
from jax._src.prng import PRNGKeyArray
import numpy as np... | 35.580952 | 87 | 0.608405 | 475 | 3,736 | 4.696842 | 0.303158 | 0.036307 | 0.016136 | 0.02017 | 0.083819 | 0.060063 | 0.045719 | 0.045719 | 0.045719 | 0 | 0 | 0.007373 | 0.310225 | 3,736 | 104 | 88 | 35.923077 | 0.858362 | 0.396681 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0.12 | 0 | 0.34 | 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 |
b7176f2e0dac30c4e5404b6399ccd7f4159c21b1 | 4,955 | py | Python | courspider/department_calendar.py | Zylphrex/courspider | bbcd8f71afa3958405f7017890d5fc9ec8d0d4cd | [
"MIT"
] | null | null | null | courspider/department_calendar.py | Zylphrex/courspider | bbcd8f71afa3958405f7017890d5fc9ec8d0d4cd | [
"MIT"
] | null | null | null | courspider/department_calendar.py | Zylphrex/courspider | bbcd8f71afa3958405f7017890d5fc9ec8d0d4cd | [
"MIT"
] | null | null | null | import re
from courspider.faculty_calendar_resources.department import Department
from courspider.faculty_calendar_resources.url import URL
from courspider.course import Course
class DepartmentCalendar:
def __init__(self, session, url):
"""
Initialize a new Department Calendar for the given url
... | 40.284553 | 795 | 0.618365 | 581 | 4,955 | 5.144578 | 0.263339 | 0.03011 | 0.081298 | 0.008364 | 0.252258 | 0.198729 | 0.198729 | 0.093677 | 0.093677 | 0.093677 | 0 | 0.007168 | 0.239758 | 4,955 | 122 | 796 | 40.614754 | 0.786302 | 0.268819 | 0 | 0.036364 | 0 | 0.018182 | 0.242993 | 0.225999 | 0 | 0 | 0 | 0 | 0 | 1 | 0.109091 | false | 0 | 0.072727 | 0 | 0.381818 | 0.018182 | 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 |
b718b1cb323c068a0fab21f464ad842ab3d200e7 | 2,924 | py | Python | src/TheLanguage/Parser/Expressions/UnitTests/CastExpressionParserInfo_UnitTest.py | davidbrownell/DavidBrownell_TheLanguage | 07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98 | [
"BSL-1.0"
] | null | null | null | src/TheLanguage/Parser/Expressions/UnitTests/CastExpressionParserInfo_UnitTest.py | davidbrownell/DavidBrownell_TheLanguage | 07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98 | [
"BSL-1.0"
] | null | null | null | src/TheLanguage/Parser/Expressions/UnitTests/CastExpressionParserInfo_UnitTest.py | davidbrownell/DavidBrownell_TheLanguage | 07170b448a0ebd7fa2325c9ccd4cefdb3cf7eb98 | [
"BSL-1.0"
] | 1 | 2021-06-18T18:58:57.000Z | 2021-06-18T18:58:57.000Z | # ----------------------------------------------------------------------
# |
# | CastExpressionParserInfo_UnitTest.py
# |
# | David Brownell <db@DavidBrownell.com>
# | 2021-10-04 09:14:16
# |
# ----------------------------------------------------------------------
# |
# | Copyright David Brownell 2021
... | 34.4 | 113 | 0.499316 | 210 | 2,924 | 6.8 | 0.466667 | 0.136555 | 0.077031 | 0.091036 | 0.387955 | 0.323529 | 0.172269 | 0.172269 | 0.172269 | 0.172269 | 0 | 0.01107 | 0.25855 | 2,924 | 84 | 114 | 34.809524 | 0.647601 | 0.288988 | 0 | 0.416667 | 0 | 0.020833 | 0.08067 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 1 | 0.041667 | false | 0 | 0.166667 | 0 | 0.208333 | 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 |
b71d1eb99d842362c6523cbc96a06ae382953062 | 1,746 | py | Python | JB/5.py | boostjanbjorge/adventofcode | 5cdd540a553550b1000496dfa39cbf7cf431a85f | [
"MIT"
] | null | null | null | JB/5.py | boostjanbjorge/adventofcode | 5cdd540a553550b1000496dfa39cbf7cf431a85f | [
"MIT"
] | null | null | null | JB/5.py | boostjanbjorge/adventofcode | 5cdd540a553550b1000496dfa39cbf7cf431a85f | [
"MIT"
] | null | null | null | import collections
import dataclasses
import itertools
@dataclasses.dataclass(frozen=True)
class Point:
x: int
y: int
@dataclasses.dataclass(frozen=True)
class Segment:
start: Point
stop: Point
@property
def slope(self):
dy = self.stop.y - self.start.y
dx = self.stop.x - sel... | 23.594595 | 83 | 0.57331 | 267 | 1,746 | 3.696629 | 0.262172 | 0.091185 | 0.06079 | 0.042553 | 0.203647 | 0.096251 | 0 | 0 | 0 | 0 | 0 | 0.021652 | 0.285796 | 1,746 | 73 | 84 | 23.917808 | 0.769848 | 0.038946 | 0 | 0.08 | 0 | 0 | 0.009564 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.06 | 0.02 | 0.34 | 0.04 | 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 |
b71eb8d88a38241242bcf5b67fab2d3309817366 | 8,427 | py | Python | pottermore/pottermore.py | Ricotjhe/kennnyshiwa-cogs | 5a596f298a6f7fe7502634793384a747060fc6c7 | [
"MIT"
] | null | null | null | pottermore/pottermore.py | Ricotjhe/kennnyshiwa-cogs | 5a596f298a6f7fe7502634793384a747060fc6c7 | [
"MIT"
] | null | null | null | pottermore/pottermore.py | Ricotjhe/kennnyshiwa-cogs | 5a596f298a6f7fe7502634793384a747060fc6c7 | [
"MIT"
] | null | null | null | import contextlib
from redbot.core import commands, Config
from redbot.core.utils.menus import menu, DEFAULT_CONTROLS
import discord
import aiohttp
import random
slytherin = "https://cdn.shopify.com/s/files/1/1325/3287/products/HP8040B_930f8033-607f-41ee-a8e4-fa90871ce7a7.png?v=1546231154"
gryffindor = "https://cdn1... | 48.154286 | 174 | 0.657411 | 1,017 | 8,427 | 5.325467 | 0.276303 | 0.067208 | 0.040805 | 0.05336 | 0.391617 | 0.343981 | 0.319055 | 0.183715 | 0.139402 | 0.129062 | 0 | 0.044644 | 0.221194 | 8,427 | 174 | 175 | 48.431034 | 0.780436 | 0.009375 | 0 | 0.172185 | 0 | 0.086093 | 0.302926 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019868 | false | 0 | 0.039735 | 0 | 0.099338 | 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 |
b721a7e3b07e02d858ee3ed05e23ae34bf1e9c54 | 781 | py | Python | algoritmos/PythonM2/desafio.py | MiguelTeixeiraUFPB/PythonM2 | 1ee07879b141eae4c4edd5f4ac43002b11167b2f | [
"MIT"
] | null | null | null | algoritmos/PythonM2/desafio.py | MiguelTeixeiraUFPB/PythonM2 | 1ee07879b141eae4c4edd5f4ac43002b11167b2f | [
"MIT"
] | null | null | null | algoritmos/PythonM2/desafio.py | MiguelTeixeiraUFPB/PythonM2 | 1ee07879b141eae4c4edd5f4ac43002b11167b2f | [
"MIT"
] | null | null | null | idadevelho=0
s=0
f=0
for p in range(1,3):
print('---{}º pessoa---'.format(p))
nome=str(input('digite o {}º nome: '.format(p))).strip()
idade=int(input('digite a idade da {}º pessoa: '.format(p)))
peso=float(input('digite o peso da {}º pessoa: '.format(p)))
sexo=str(input('sexo[M/F]: ')).upper()... | 27.892857 | 67 | 0.581306 | 122 | 781 | 3.721311 | 0.393443 | 0.061674 | 0.085903 | 0.092511 | 0.070485 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020339 | 0.244558 | 781 | 27 | 68 | 28.925926 | 0.749153 | 0 | 0 | 0.166667 | 0 | 0 | 0.262821 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.208333 | 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 |
b7243a1265f9290fb4007832856d3ae61b5b1b98 | 1,158 | py | Python | tests/conftest.py | inducer/courseflow | 0f9786e3616dbedf08365d81a731f672b97ba9f5 | [
"Unlicense"
] | 284 | 2015-01-09T12:02:28.000Z | 2022-03-27T14:30:46.000Z | tests/conftest.py | inducer/courseflow | 0f9786e3616dbedf08365d81a731f672b97ba9f5 | [
"Unlicense"
] | 799 | 2015-02-26T08:49:46.000Z | 2022-03-31T16:09:26.000Z | tests/conftest.py | davis68/relate | eb40c8c17d4a724a60de3caa3334521a833bad5c | [
"Unlicense"
] | 120 | 2015-01-30T18:00:56.000Z | 2022-03-28T06:24:43.000Z | import pytest
# from pytest_factoryboy import register
def pytest_addoption(parser):
parser.addoption(
"--slow", action="store_true", default=False, help="run slow tests",
)
parser.addoption(
"--all", action="store_true", default=False, help="run all tests",
)
def _is_connection_psql... | 30.473684 | 78 | 0.636442 | 148 | 1,158 | 4.824324 | 0.351351 | 0.042017 | 0.058824 | 0.084034 | 0.42437 | 0.401961 | 0.401961 | 0.176471 | 0.176471 | 0.176471 | 0 | 0 | 0.255613 | 1,158 | 37 | 79 | 31.297297 | 0.828306 | 0.032815 | 0 | 0.172414 | 0 | 0 | 0.162791 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.068966 | 0 | 0.241379 | 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 |
b72448ecc9aed4165b8b074fbdda6ef50c31088e | 2,210 | py | Python | main.py | Kallu609/mp3-to-mp4-converter | 780d4741b79a45c1e5541527a58313a36d665e47 | [
"MIT"
] | null | null | null | main.py | Kallu609/mp3-to-mp4-converter | 780d4741b79a45c1e5541527a58313a36d665e47 | [
"MIT"
] | null | null | null | main.py | Kallu609/mp3-to-mp4-converter | 780d4741b79a45c1e5541527a58313a36d665e47 | [
"MIT"
] | 1 | 2020-03-28T02:57:32.000Z | 2020-03-28T02:57:32.000Z | import subprocess
from mimetypes import MimeTypes
from os import devnull, getcwd, listdir, makedirs, walk
from os.path import basename, dirname, exists, isfile, join, splitext
from pprint import pprint
from urllib.request import pathname2url
ALLOWED_AUDIO_MIMETYPES = ['audio/mpeg']
ALLOWED_IMAGE_MIMETYPES = ['image/jp... | 26.95122 | 89 | 0.687783 | 338 | 2,210 | 4.236686 | 0.278107 | 0.050279 | 0.030726 | 0.03352 | 0.150838 | 0.124302 | 0.124302 | 0.124302 | 0.124302 | 0.124302 | 0 | 0.016049 | 0.182353 | 2,210 | 81 | 90 | 27.283951 | 0.776425 | 0.011312 | 0 | 0.067797 | 0 | 0 | 0.106276 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101695 | false | 0 | 0.101695 | 0 | 0.288136 | 0.084746 | 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 |
b724c571207a17423525239296130cc889afe81a | 6,169 | py | Python | ambassador/tests/ambassador_test.py | tesserai/ambassador | 70fadc62872be9b041b90cba54d3920a21777548 | [
"Apache-2.0"
] | 1 | 2019-01-22T05:36:23.000Z | 2019-01-22T05:36:23.000Z | ambassador/tests/ambassador_test.py | tesserai/ambassador | 70fadc62872be9b041b90cba54d3920a21777548 | [
"Apache-2.0"
] | null | null | null | ambassador/tests/ambassador_test.py | tesserai/ambassador | 70fadc62872be9b041b90cba54d3920a21777548 | [
"Apache-2.0"
] | null | null | null | import sys
import difflib
import errno
import json
import logging
import functools
import os
import pytest
from shell import shell
from diag_paranoia import diag_paranoia, filtered_overview, sanitize_errors
VALIDATOR_IMAGE = "datawire/ambassador-envoy-alpine:v1.5.0-116-g7ccb25882"
DIR = os.path.dirname(__file__)
E... | 31.635897 | 120 | 0.595396 | 712 | 6,169 | 5.054775 | 0.230337 | 0.033343 | 0.027786 | 0.028341 | 0.325924 | 0.261739 | 0.250347 | 0.210058 | 0.210058 | 0.158377 | 0 | 0.005711 | 0.261955 | 6,169 | 194 | 121 | 31.798969 | 0.784757 | 0.014913 | 0 | 0.236641 | 0 | 0 | 0.19482 | 0.025734 | 0 | 0 | 0 | 0 | 0.015267 | 1 | 0.038168 | false | 0 | 0.076336 | 0 | 0.137405 | 0.114504 | 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 |
b7253bf44267f3981869514c6f90cf8cf83b6b75 | 538 | py | Python | geocode_missing.py | UoA-eResearch/billboards | 196a4931dc7ed21a5ff001e539254b0a93ddad2c | [
"MIT"
] | null | null | null | geocode_missing.py | UoA-eResearch/billboards | 196a4931dc7ed21a5ff001e539254b0a93ddad2c | [
"MIT"
] | null | null | null | geocode_missing.py | UoA-eResearch/billboards | 196a4931dc7ed21a5ff001e539254b0a93ddad2c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import json
import googlemaps
import sys
import os
gmaps = googlemaps.Client(key=os.environ["GOOGLE_API_KEY"])
print(gmaps)
filename = sys.argv[1]
with open(filename) as f:
data = json.load(f)
for d in data:
if d.get("address") and not d.get("latitude"):
result = gmaps.geocode(... | 23.391304 | 59 | 0.633829 | 79 | 538 | 4.291139 | 0.556962 | 0.047198 | 0.094395 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006977 | 0.200743 | 538 | 23 | 60 | 23.391304 | 0.781395 | 0.039033 | 0 | 0 | 0 | 0 | 0.147002 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.222222 | 0 | 0.222222 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b7262426be3d901c9e4c8163e1aff5cbb71a7660 | 48,109 | py | Python | tardis/plasma/properties/continuum_processes.py | AlexHls/tardis | 5d6e2299f35953a65e2c974994c55fe4aa3caae9 | [
"BSD-3-Clause"
] | null | null | null | tardis/plasma/properties/continuum_processes.py | AlexHls/tardis | 5d6e2299f35953a65e2c974994c55fe4aa3caae9 | [
"BSD-3-Clause"
] | 1 | 2020-07-20T16:45:52.000Z | 2020-07-20T16:45:52.000Z | tardis/plasma/properties/continuum_processes.py | jordi5/tardis | 2e1cb75c91ea842526b0c7c80a13cc8646178813 | [
"BSD-3-Clause"
] | null | null | null | import logging
import numpy as np
import pandas as pd
from numba import prange, njit
from tardis import constants as const
from tardis.plasma.exceptions import PlasmaException
from tardis.plasma.properties.base import (
ProcessingPlasmaProperty,
Input,
TransitionProbabilitiesProperty,
)
from tardis.plasm... | 33.155755 | 127 | 0.642749 | 5,747 | 48,109 | 5.073082 | 0.093788 | 0.031007 | 0.01739 | 0.028091 | 0.498577 | 0.402058 | 0.343337 | 0.307426 | 0.272303 | 0.220408 | 0 | 0.007025 | 0.266166 | 48,109 | 1,450 | 128 | 33.178621 | 0.818802 | 0.256937 | 0 | 0.301703 | 0 | 0 | 0.073491 | 0.029852 | 0 | 0 | 0 | 0.003448 | 0 | 1 | 0.059611 | false | 0 | 0.009732 | 0.002433 | 0.248175 | 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 |
b72a583373d3c6cb8d5d4af07ff2faff1162f56a | 2,550 | py | Python | examples/avatar_example.py | ZSD-tim/dayu_widgets | 31c2530bdc4161d9311574d9850c2e9471e53072 | [
"MIT"
] | 157 | 2019-03-10T05:55:21.000Z | 2022-03-31T09:07:00.000Z | examples/avatar_example.py | kanbang/dayu_widgets | 6ff101e6c6f8fcf10e5cb578023a12ccdcef9164 | [
"MIT"
] | 16 | 2019-07-15T11:30:53.000Z | 2021-12-16T14:17:59.000Z | examples/avatar_example.py | kanbang/dayu_widgets | 6ff101e6c6f8fcf10e5cb578023a12ccdcef9164 | [
"MIT"
] | 56 | 2019-06-19T03:35:27.000Z | 2022-03-22T08:07:32.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
###################################################################
# Author: Mu yanru
# Date : 2019.2
# Email : muyanru345@163.com
###################################################################
from dayu_widgets.avatar import MAvatar
from dayu_widgets.divider import... | 34.931507 | 87 | 0.59098 | 279 | 2,550 | 5.179211 | 0.376344 | 0.044291 | 0.083045 | 0.029066 | 0.077509 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006312 | 0.25451 | 2,550 | 72 | 88 | 35.416667 | 0.753814 | 0.056078 | 0 | 0 | 0 | 0 | 0.076447 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037736 | false | 0 | 0.188679 | 0 | 0.245283 | 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 |
b72c5b0b453dbcbfe1f73085f19a64855959a7ec | 1,254 | py | Python | ch9/note9.4.py | YChanHuang/Python-for-every-body-notes | 771db11ceb00341b533b4b1bf5235fb988978f65 | [
"MIT"
] | null | null | null | ch9/note9.4.py | YChanHuang/Python-for-every-body-notes | 771db11ceb00341b533b4b1bf5235fb988978f65 | [
"MIT"
] | null | null | null | ch9/note9.4.py | YChanHuang/Python-for-every-body-notes | 771db11ceb00341b533b4b1bf5235fb988978f65 | [
"MIT"
] | null | null | null | #Assignment 9.4
#print('Hello World')
fname = input('Enter name: ')
if len(fname) < 1 : fname = 'mbox-short.txt'
handle = open(fname)
di = {} #create an empty dictionary
for line in handle:
line = line.rstrip()
wds = line.split()
#the second for-loop to print each word in the list
for w in wds :
... | 29.857143 | 83 | 0.585327 | 187 | 1,254 | 3.925134 | 0.438503 | 0.024523 | 0.016349 | 0.019074 | 0.108992 | 0.108992 | 0.108992 | 0.108992 | 0.108992 | 0.108992 | 0 | 0.012318 | 0.287879 | 1,254 | 41 | 84 | 30.585366 | 0.80963 | 0.549442 | 0 | 0 | 0 | 0 | 0.069159 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.117647 | 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 |
b72f78f385c7b5879e4c81e4664cd6e4111978d3 | 329 | py | Python | altair/vegalite/v2/examples/step_chart.py | hydrosquall/altair | ded897b0967a88a467828b1e2c133bd92862de23 | [
"BSD-3-Clause"
] | null | null | null | altair/vegalite/v2/examples/step_chart.py | hydrosquall/altair | ded897b0967a88a467828b1e2c133bd92862de23 | [
"BSD-3-Clause"
] | null | null | null | altair/vegalite/v2/examples/step_chart.py | hydrosquall/altair | ded897b0967a88a467828b1e2c133bd92862de23 | [
"BSD-3-Clause"
] | null | null | null | """
Step Chart
-----------------
This example shows Google's stock price over time.
"""
import altair as alt
from vega_datasets import data
source = data.stocks()
chart = alt.Chart(source).mark_line(interpolate = 'step-after').encode(
x = 'date',
y = 'price'
)
chart.transform = [{"filter": "datum.symbol==='... | 18.277778 | 71 | 0.638298 | 43 | 329 | 4.837209 | 0.790698 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.158055 | 329 | 17 | 72 | 19.352941 | 0.750903 | 0.240122 | 0 | 0 | 0 | 0 | 0.190083 | 0.086777 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 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 |
b73291a3b8e47fc42f8a646649597c72205d287e | 1,135 | py | Python | computer vision/pose_module.py | Francois-Adham/OpenCV | ccbace109086d3f4fcccc1bd9261ac336cfc49ef | [
"MIT"
] | null | null | null | computer vision/pose_module.py | Francois-Adham/OpenCV | ccbace109086d3f4fcccc1bd9261ac336cfc49ef | [
"MIT"
] | null | null | null | computer vision/pose_module.py | Francois-Adham/OpenCV | ccbace109086d3f4fcccc1bd9261ac336cfc49ef | [
"MIT"
] | null | null | null | import cv2 as cv
import mediapipe as mp
class PoseDetector:
def __init__(self, mode=False, complexity=1, smooth=False, confidence=0.5, tracking_confidence=0.5) -> None:
self.mode = mode
self.complexity = complexity
self.smooth = smooth
self.confidence = confidence
s... | 33.382353 | 121 | 0.661674 | 143 | 1,135 | 5.048951 | 0.34965 | 0.041551 | 0.041551 | 0.088643 | 0.083102 | 0.083102 | 0 | 0 | 0 | 0 | 0 | 0.010393 | 0.237004 | 1,135 | 34 | 122 | 33.382353 | 0.823326 | 0 | 0 | 0 | 0 | 0 | 0.011444 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.230769 | 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 |
b732eb90f353db0b4fec7fc27c2742a5319bf251 | 3,012 | py | Python | Irene/base.py | mghasemi/Irene | 2ecf58329310a0e98d1e28d4853ddb49f0a23311 | [
"MIT"
] | 12 | 2018-10-25T19:59:22.000Z | 2022-03-08T03:27:29.000Z | Irene/base.py | mghasemi/Irene | 2ecf58329310a0e98d1e28d4853ddb49f0a23311 | [
"MIT"
] | 1 | 2022-03-08T03:27:36.000Z | 2022-03-08T05:42:26.000Z | Irene/base.py | mghasemi/Irene | 2ecf58329310a0e98d1e28d4853ddb49f0a23311 | [
"MIT"
] | null | null | null | r"""
This is the base module for all other objects of the package.
+ `LaTeX` returns a LaTeX string out of an `Irene` object.
+ `base` is the parent of all `Irene` objects.
"""
def LaTeX(obj):
r"""
Returns LaTeX representation of Irene's objects.
"""
from sympy.core.core import all_classes
... | 30.734694 | 98 | 0.534197 | 353 | 3,012 | 4.498584 | 0.300283 | 0.040302 | 0.018892 | 0.02267 | 0.116499 | 0.049118 | 0.049118 | 0 | 0 | 0 | 0 | 0.002599 | 0.361222 | 3,012 | 97 | 99 | 31.051546 | 0.822765 | 0.179615 | 0 | 0.19697 | 0 | 0 | 0.044877 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075758 | false | 0.015152 | 0.136364 | 0.015152 | 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 |
b7340fcc54385aec310fcaab55c9c4530b0dc98a | 1,617 | py | Python | basic/fasta.py | JinyuanSun/my_bio_script | ceb84e2e32c38b0889956f12c380354d23b28dc1 | [
"MIT"
] | null | null | null | basic/fasta.py | JinyuanSun/my_bio_script | ceb84e2e32c38b0889956f12c380354d23b28dc1 | [
"MIT"
] | null | null | null | basic/fasta.py | JinyuanSun/my_bio_script | ceb84e2e32c38b0889956f12c380354d23b28dc1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# By Jinyuan Sun
def fasta2dic(fastafilename): #read a fasta file into a dict
fasta_dict = {}
with open(fastafilename) as fastafile:
for line in fastafile:
if line[0] == ">":
head = line.strip()
fasta_dict[head] = ''
else:
... | 25.666667 | 82 | 0.568336 | 201 | 1,617 | 4.452736 | 0.358209 | 0.070391 | 0.02905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039604 | 0.312925 | 1,617 | 62 | 83 | 26.080645 | 0.765977 | 0.120594 | 0 | 0.088889 | 0 | 0 | 0.017693 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.044444 | 0.022222 | 0.244444 | 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 |
b73487d3a2f5ed600768a510984d20ecb9e2c8c6 | 10,248 | py | Python | tea_client/http.py | alefnula/tea-client | 976416fe00ed075394064c86c42665dcda341c17 | [
"Apache-2.0"
] | 1 | 2020-12-22T16:06:09.000Z | 2020-12-22T16:06:09.000Z | tea_client/http.py | alefnula/tea-client | 976416fe00ed075394064c86c42665dcda341c17 | [
"Apache-2.0"
] | null | null | null | tea_client/http.py | alefnula/tea-client | 976416fe00ed075394064c86c42665dcda341c17 | [
"Apache-2.0"
] | null | null | null | import enum
from typing import Optional, Dict
import httpx
from tea import serde
from tea_client import errors
from tea_client.models import TeaClientModel
class AuthorizationMethod(enum.Enum):
basic = "Basic"
token = "Token"
jwt = "JWT"
class HttpClient:
"""Generic requests handler.
Handles ... | 32.741214 | 79 | 0.518443 | 1,012 | 10,248 | 5.232213 | 0.179842 | 0.047592 | 0.028329 | 0.033994 | 0.577526 | 0.542965 | 0.542965 | 0.512937 | 0.49254 | 0.454391 | 0 | 0.00635 | 0.400664 | 10,248 | 312 | 80 | 32.846154 | 0.855747 | 0.270492 | 0 | 0.497462 | 0 | 0 | 0.070915 | 0.007768 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030457 | false | 0 | 0.030457 | 0 | 0.121827 | 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 |
b734d2e12cf5fc6c54fb0dd62f0ce018d2ee9551 | 3,809 | py | Python | PRPConnector/TestPRPConnector.py | manuelbieri/PRP-APIConnect | 78c4772dce22686da82cdd27e246724edd5bcf0a | [
"MIT"
] | null | null | null | PRPConnector/TestPRPConnector.py | manuelbieri/PRP-APIConnect | 78c4772dce22686da82cdd27e246724edd5bcf0a | [
"MIT"
] | null | null | null | PRPConnector/TestPRPConnector.py | manuelbieri/PRP-APIConnect | 78c4772dce22686da82cdd27e246724edd5bcf0a | [
"MIT"
] | null | null | null | import unittest
from typing import List
import Connector
class PRPConnectorTest(unittest.TestCase):
connection: Connector.PRPConnector = Connector.PRPConnector('admin', 'adminTest', 'https://marblch.pythonanywhere.com/')
def test_test_message(self):
response: dict = PRPConnectorTest.connection.test_... | 56.850746 | 159 | 0.719349 | 440 | 3,809 | 5.997727 | 0.127273 | 0.090944 | 0.039409 | 0.06366 | 0.697613 | 0.674498 | 0.614627 | 0.579765 | 0.502084 | 0.491474 | 0 | 0.009225 | 0.146233 | 3,809 | 66 | 160 | 57.712121 | 0.802276 | 0 | 0 | 0.37037 | 0 | 0 | 0.163035 | 0.024678 | 0 | 0 | 0 | 0 | 0.314815 | 1 | 0.12963 | false | 0 | 0.055556 | 0 | 0.259259 | 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 |
b73585b3b1af0b7be3ca9e5f9af38dd53d4fa51d | 1,302 | py | Python | competitors/VAE.py | umarov90/DeepFake | e65c72f255817532e8a8a3afe2138ae270477601 | [
"Apache-2.0"
] | 3 | 2021-01-28T08:08:20.000Z | 2021-10-30T02:15:54.000Z | competitors/VAE.py | umarov90/DeepCellState | e65c72f255817532e8a8a3afe2138ae270477601 | [
"Apache-2.0"
] | null | null | null | competitors/VAE.py | umarov90/DeepCellState | e65c72f255817532e8a8a3afe2138ae270477601 | [
"Apache-2.0"
] | 1 | 2022-03-09T14:56:49.000Z | 2022-03-09T14:56:49.000Z | import tensorflow as tf
from tensorflow import keras
class VAE(keras.Model):
def __init__(self, encoder, decoder, **kwargs):
super(VAE, self).__init__(**kwargs)
self.encoder = encoder
self.decoder = decoder
self.e_count = 0
def train_step(self, data):
# if isinstance(... | 35.189189 | 101 | 0.612135 | 161 | 1,302 | 4.689441 | 0.354037 | 0.055629 | 0.037086 | 0.023841 | 0.063576 | 0.063576 | 0.063576 | 0.063576 | 0 | 0 | 0 | 0.016129 | 0.285714 | 1,302 | 37 | 102 | 35.189189 | 0.795699 | 0.056068 | 0 | 0.071429 | 0 | 0 | 0.02447 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.071429 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
b73713a84bd73916c488c2d607e11c9d22b75380 | 6,070 | py | Python | extract/read_acc.py | YutoNakayachi/jankenEstimate | 64ca3b6da78c1d84204d709c0c0a398277f4dafb | [
"MIT"
] | null | null | null | extract/read_acc.py | YutoNakayachi/jankenEstimate | 64ca3b6da78c1d84204d709c0c0a398277f4dafb | [
"MIT"
] | null | null | null | extract/read_acc.py | YutoNakayachi/jankenEstimate | 64ca3b6da78c1d84204d709c0c0a398277f4dafb | [
"MIT"
] | null | null | null | #from https://github.com/mfurukawa/imu_sensor/tree/master/src/Python
# September 03, 2020
# Yuto Nakayachi
from __future__ import unicode_literals ,print_function
import serial
from time import sleep
import numpy as np
import matplotlib.pyplot as plt
import io
import csv
import time
import datetime
import stru... | 27.590909 | 257 | 0.549918 | 819 | 6,070 | 3.91453 | 0.269841 | 0.037118 | 0.009981 | 0.013724 | 0.157829 | 0.119775 | 0.108546 | 0.079226 | 0.073612 | 0.073612 | 0 | 0.108728 | 0.331796 | 6,070 | 220 | 258 | 27.590909 | 0.681706 | 0.16771 | 0 | 0.233333 | 0 | 0 | 0.081086 | 0 | 0.013333 | 0 | 0 | 0 | 0 | 1 | 0.013333 | false | 0 | 0.08 | 0 | 0.093333 | 0.106667 | 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 |
b739279244be21a77769468b2146bbedb6b82ebb | 4,544 | py | Python | ctemail.py | dyike/CTEmail | d94416401198393df01f143047acb1fb7c227492 | [
"MIT"
] | 47 | 2017-10-15T08:23:55.000Z | 2021-03-21T04:05:25.000Z | ctemail.py | bobo18801737494/CTEmail | d94416401198393df01f143047acb1fb7c227492 | [
"MIT"
] | null | null | null | ctemail.py | bobo18801737494/CTEmail | d94416401198393df01f143047acb1fb7c227492 | [
"MIT"
] | 7 | 2017-10-16T02:23:12.000Z | 2020-07-08T13:32:28.000Z | from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.mime.image import MIMEImage
from email.header import Header
from email.mime.base import MIMEBase
from email import encoders
import os
import uuid
import smtplib
import re
class CTEmail(object):
def __i... | 34.953846 | 102 | 0.569762 | 517 | 4,544 | 4.916828 | 0.332689 | 0.038946 | 0.020456 | 0.023603 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006435 | 0.316021 | 4,544 | 130 | 103 | 34.953846 | 0.811454 | 0.144586 | 0 | 0.025 | 0 | 0 | 0.125443 | 0.019362 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0.025 | 0.125 | 0 | 0.2375 | 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 |
b73959dcfef900a0482e8a66a74254dfbae2b5e0 | 3,782 | py | Python | alipay/aop/api/domain/RequestExtShopItem.py | snowxmas/alipay-sdk-python-all | 96870ced60facd96c5bce18d19371720cbda3317 | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/domain/RequestExtShopItem.py | snowxmas/alipay-sdk-python-all | 96870ced60facd96c5bce18d19371720cbda3317 | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/domain/RequestExtShopItem.py | snowxmas/alipay-sdk-python-all | 96870ced60facd96c5bce18d19371720cbda3317 | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class RequestExtShopItem(object):
def __init__(self):
self._brand_code = None
self._category_code = None
self._description = None
self._item_code = None
self._kb... | 28.870229 | 77 | 0.574299 | 464 | 3,782 | 4.396552 | 0.101293 | 0.078431 | 0.058824 | 0.041176 | 0.297549 | 0.190686 | 0.043137 | 0.02549 | 0 | 0 | 0 | 0.000392 | 0.324696 | 3,782 | 130 | 78 | 29.092308 | 0.798356 | 0.011105 | 0 | 0.126126 | 0 | 0 | 0.093683 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153153 | false | 0 | 0.018018 | 0.063063 | 0.27027 | 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 |
b739c6c3b975479392baa34036d389264f7e0a34 | 9,644 | py | Python | tornado/s3server.py | suocean16/osu_study | c86da00312b16ade5d7ed4586ffbe7ffc78781a1 | [
"Apache-2.0"
] | 9 | 2015-02-04T08:45:56.000Z | 2017-06-25T02:01:30.000Z | tornado/s3server.py | suocean16/osu_study | c86da00312b16ade5d7ed4586ffbe7ffc78781a1 | [
"Apache-2.0"
] | null | null | null | tornado/s3server.py | suocean16/osu_study | c86da00312b16ade5d7ed4586ffbe7ffc78781a1 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2009 Facebook
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 37.671875 | 76 | 0.606595 | 1,162 | 9,644 | 4.931153 | 0.251291 | 0.029319 | 0.058639 | 0.017103 | 0.334206 | 0.298429 | 0.247644 | 0.220768 | 0.207853 | 0.199127 | 0 | 0.014282 | 0.281211 | 9,644 | 255 | 77 | 37.819608 | 0.81232 | 0.153774 | 0 | 0.257732 | 0 | 0 | 0.052515 | 0.005424 | 0 | 0 | 0 | 0 | 0.005155 | 1 | 0.061856 | false | 0 | 0.051546 | 0 | 0.154639 | 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 |
b73c912fbef2f1e9dcedeede8d2e7747a1107d54 | 6,697 | py | Python | multitest_transport/api/test_result_api.py | maksonlee/multitest_transport | 9c20a48ac856307950a204854f52be7335705054 | [
"Apache-2.0"
] | null | null | null | multitest_transport/api/test_result_api.py | maksonlee/multitest_transport | 9c20a48ac856307950a204854f52be7335705054 | [
"Apache-2.0"
] | null | null | null | multitest_transport/api/test_result_api.py | maksonlee/multitest_transport | 9c20a48ac856307950a204854f52be7335705054 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 41.596273 | 80 | 0.721368 | 841 | 6,697 | 5.552913 | 0.260404 | 0.029979 | 0.023126 | 0.017987 | 0.221627 | 0.09743 | 0.061242 | 0 | 0 | 0 | 0 | 0.003925 | 0.200986 | 6,697 | 160 | 81 | 41.85625 | 0.86881 | 0.245782 | 0 | 0.14 | 0 | 0 | 0.045519 | 0.006069 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.11 | 0 | 0.23 | 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 |
b740609fa3b2a0150f07fc35f914d2369bdcd573 | 260 | py | Python | visualize_loss/loss_verification.py | entn-at/RL-LightSpeech | c8ba120216c7c3117d2e7eae2eebe726bc02d6d3 | [
"MIT"
] | 1 | 2021-09-22T01:30:05.000Z | 2021-09-22T01:30:05.000Z | visualize_loss/loss_verification.py | entn-at/LightSpeech | 48250fbcede4b258ba13ab17e3e83afc5fe85a01 | [
"MIT"
] | null | null | null | visualize_loss/loss_verification.py | entn-at/LightSpeech | 48250fbcede4b258ba13ab17e3e83afc5fe85a01 | [
"MIT"
] | 1 | 2021-09-22T01:32:06.000Z | 2021-09-22T01:32:06.000Z | import numpy as np
loss_arr = np.array(list())
with open("total_loss.txt", "r") as f_loss:
cnt = 0
for loss in f_loss.readlines():
cnt += 1
# print(loss)
loss_arr = np.append(loss_arr, float(loss))
print(cnt)
| 23.636364 | 52 | 0.561538 | 40 | 260 | 3.5 | 0.575 | 0.15 | 0.128571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011111 | 0.307692 | 260 | 10 | 53 | 26 | 0.766667 | 0.042308 | 0 | 0 | 0 | 0 | 0.063291 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.125 | 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 |