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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
b231e5387c29a9c303c2891e543771ef5034fb5e | 671 | py | Python | logmappercommon/definitions/logmapperkeys.py | abaena78/logmapper-master | ef4cc7470aec274095afa09f0fe97d9d48299418 | [
"MIT"
] | null | null | null | logmappercommon/definitions/logmapperkeys.py | abaena78/logmapper-master | ef4cc7470aec274095afa09f0fe97d9d48299418 | [
"MIT"
] | null | null | null | logmappercommon/definitions/logmapperkeys.py | abaena78/logmapper-master | ef4cc7470aec274095afa09f0fe97d9d48299418 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Apr 8 09:45:29 2018
@author: abaena
"""
DATATYPE_AGENT = 'agent'
DATATYPE_PATH_METRICS = 'pathmet'
DATATYPE_LOG_EVENTS = 'logeve'
DATATYPE_LOG_METRICS = 'logmet'
DATATYPE_MONITOR_HOST = 'host'
DATATYPE_MONITOR_MICROSERVICE = 'ms'
DATATYPE_MONITOR_TOMCAT = 'tomc'
DATATYPE_... | 19.735294 | 54 | 0.797317 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 190 | 0.283159 |
b23410413a31fad8b057b8f858083b133ba2f903 | 7,438 | py | Python | construct/expr.py | DominicAntonacci/construct | abd48c4892ceddc60c11d25f4a955573e2c61111 | [
"MIT"
] | 57 | 2019-12-08T00:02:14.000Z | 2022-03-24T20:40:40.000Z | construct/expr.py | DominicAntonacci/construct | abd48c4892ceddc60c11d25f4a955573e2c61111 | [
"MIT"
] | 3 | 2020-01-26T03:38:31.000Z | 2020-06-21T13:42:46.000Z | construct/expr.py | DominicAntonacci/construct | abd48c4892ceddc60c11d25f4a955573e2c61111 | [
"MIT"
] | 8 | 2020-04-20T08:17:57.000Z | 2021-10-04T06:04:51.000Z | import operator
if not hasattr(operator, "div"):
operator.div = operator.truediv
opnames = {
operator.add : "+",
operator.sub : "-",
operator.mul : "*",
operator.div : "/",
operator.floordiv : "//",
operator.mod : "%",
operator.pow : "**",
operator.xor : "^",
operator.lshift : ... | 28.941634 | 103 | 0.60285 | 6,594 | 0.886529 | 0 | 0 | 0 | 0 | 0 | 0 | 214 | 0.028771 |
b2341f237ea46f0ced528101120f6ba97f84d73f | 14,362 | py | Python | ci/unit_tests/functions_deploy/main_test.py | xverges/watson-assistant-workbench | b899784506c7469be332cb58ed447ca8f607ed30 | [
"Apache-2.0"
] | 1 | 2020-03-27T16:39:38.000Z | 2020-03-27T16:39:38.000Z | ci/unit_tests/functions_deploy/main_test.py | xverges/watson-assistant-workbench | b899784506c7469be332cb58ed447ca8f607ed30 | [
"Apache-2.0"
] | 1 | 2021-01-29T16:14:58.000Z | 2021-02-03T16:10:07.000Z | ci/unit_tests/functions_deploy/main_test.py | xverges/watson-assistant-workbench | b899784506c7469be332cb58ed447ca8f607ed30 | [
"Apache-2.0"
] | 1 | 2021-01-22T13:13:36.000Z | 2021-01-22T13:13:36.000Z | """
Copyright 2019 IBM Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software... | 49.524138 | 137 | 0.598176 | 13,545 | 0.943114 | 0 | 0 | 8,869 | 0.617532 | 0 | 0 | 4,834 | 0.336583 |
b2354dd4a0bef69531cc2ff0b6a96364cece153b | 503 | py | Python | python_scripts/tip_loss/tip_loss.py | lawsonro3/python_scripts | 875ff607727ab37006d7b3cb793f1dd97c538d1b | [
"Apache-2.0"
] | null | null | null | python_scripts/tip_loss/tip_loss.py | lawsonro3/python_scripts | 875ff607727ab37006d7b3cb793f1dd97c538d1b | [
"Apache-2.0"
] | null | null | null | python_scripts/tip_loss/tip_loss.py | lawsonro3/python_scripts | 875ff607727ab37006d7b3cb793f1dd97c538d1b | [
"Apache-2.0"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
plt.close('all')
# From section 3.8.3 of wind energy explained
# Prandlt tip loss calc
B = 3 # number of blades
R = 1 # blade length
phi = np.deg2rad(10) # relative wind angle
r = np.linspace(0,R,100)
F = 2/np.pi * np.arccos(np.exp(-((B/2)*(1-(r/R)))/((r/R)*np.sin(phi... | 29.588235 | 83 | 0.66998 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 223 | 0.44334 |
b2356595618aa8cdf6515e41ee52e8a997567521 | 854 | py | Python | filter/mot.py | oza6ut0ne/CVStreamer | a299ab2802fe5c116df5c90c4ed872f2d05faaed | [
"MIT"
] | null | null | null | filter/mot.py | oza6ut0ne/CVStreamer | a299ab2802fe5c116df5c90c4ed872f2d05faaed | [
"MIT"
] | null | null | null | filter/mot.py | oza6ut0ne/CVStreamer | a299ab2802fe5c116df5c90c4ed872f2d05faaed | [
"MIT"
] | null | null | null | import time
import cv2
import numpy as np
class Filter(object):
'''detects motions with cv2.BackgroundSubtractorMOG2'''
def __init__(self, params):
self.params = params
try:
varThreshold = float(params[0])
if varThreshold <= 0:
varThreshold = 16
... | 28.466667 | 104 | 0.598361 | 809 | 0.947307 | 0 | 0 | 0 | 0 | 0 | 0 | 55 | 0.064403 |
b235d4cd98481beba4ed5022736424b39eba18ea | 8,730 | py | Python | social_auth/backends/contrib/vkontakte.py | ryr/django-social-auth | e1aa22ba8be027ea8e8b0a62caee90485aa44836 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | social_auth/backends/contrib/vkontakte.py | ryr/django-social-auth | e1aa22ba8be027ea8e8b0a62caee90485aa44836 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | social_auth/backends/contrib/vkontakte.py | ryr/django-social-auth | e1aa22ba8be027ea8e8b0a62caee90485aa44836 | [
"BSD-2-Clause",
"BSD-3-Clause"
] | null | null | null | """
VKontakte OpenAPI and OAuth 2.0 support.
This contribution adds support for VKontakte OpenAPI and OAuth 2.0 service in the form
www.vkontakte.ru. Username is retrieved from the identity returned by server.
"""
from django.conf import settings
from django.contrib.auth import authenticate
from django.utils import s... | 35.778689 | 118 | 0.652921 | 6,461 | 0.740092 | 0 | 0 | 264 | 0.030241 | 0 | 0 | 2,680 | 0.306987 |
b23604c9ede5f1199e722240913b11cf6fdf151d | 1,260 | py | Python | main.py | Harmanjit14/face-distance-detector | 82a491308e32e584750a9b2f757cacafc47e5aaf | [
"MIT"
] | null | null | null | main.py | Harmanjit14/face-distance-detector | 82a491308e32e584750a9b2f757cacafc47e5aaf | [
"MIT"
] | null | null | null | main.py | Harmanjit14/face-distance-detector | 82a491308e32e584750a9b2f757cacafc47e5aaf | [
"MIT"
] | null | null | null | import cv2
import cvzone
from cvzone.FaceMeshModule import FaceMeshDetector
import numpy as np
cap = cv2.VideoCapture(0)
detector = FaceMeshDetector()
text = ['Hello there.', 'My Name is Harman', 'I am bored!']
while True:
success, img = cap.read()
img, faces = detector.findFaceMesh(img, draw=False)
txt ... | 27.391304 | 82 | 0.565079 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 255 | 0.202381 |
b2362a2c9bbd2b259775e9395541cd8ca6653d97 | 3,188 | py | Python | bokeh/util/terminal.py | kinghows/bokeh | aeb7abc1dbe2b67ce0f4422838a96fb8362c52c7 | [
"BSD-3-Clause"
] | 1 | 2018-11-14T19:08:18.000Z | 2018-11-14T19:08:18.000Z | bokeh/util/terminal.py | kinghows/bokeh | aeb7abc1dbe2b67ce0f4422838a96fb8362c52c7 | [
"BSD-3-Clause"
] | 1 | 2021-05-09T02:45:17.000Z | 2021-05-09T02:45:17.000Z | bokeh/util/terminal.py | kinghows/bokeh | aeb7abc1dbe2b67ce0f4422838a96fb8362c52c7 | [
"BSD-3-Clause"
] | 1 | 2020-06-17T05:47:16.000Z | 2020-06-17T05:47:16.000Z | #-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2017, Anaconda, Inc. All rights reserved.
#
# Powered by the Bokeh Development Team.
#
# The full license is in the file LICENSE.txt, distributed with this software.
#---------------------------------------------------... | 35.422222 | 91 | 0.414994 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,680 | 0.526976 |
b2366956ff664bff3318ce968898d3246b9f6204 | 16,462 | py | Python | exp.py | SOPSLab/SwarmAggregation | 2678208bec747de4f1a925a0bed862cd4205743f | [
"MIT"
] | null | null | null | exp.py | SOPSLab/SwarmAggregation | 2678208bec747de4f1a925a0bed862cd4205743f | [
"MIT"
] | null | null | null | exp.py | SOPSLab/SwarmAggregation | 2678208bec747de4f1a925a0bed862cd4205743f | [
"MIT"
] | null | null | null | # Project: SwarmAggregation
# Filename: exp.py
# Authors: Joshua J. Daymude ([email protected]) and Noble C. Harasha
# ([email protected]).
"""
exp: A flexible, unifying framework for defining and running experiments for
swarm aggregation.
"""
import argparse
from aggregation import aggrega... | 40.848635 | 82 | 0.551209 | 12,169 | 0.739218 | 0 | 0 | 0 | 0 | 0 | 0 | 6,016 | 0.365448 |
b2376657b0293a1d78aa6eb2c5f7730819b325c9 | 867 | py | Python | pychron/experiment/tests/comment_template.py | ael-noblegas/pychron | 6ebbbb1f66a614972b62b7a9be4c784ae61b5d62 | [
"Apache-2.0"
] | 1 | 2019-02-27T21:57:44.000Z | 2019-02-27T21:57:44.000Z | pychron/experiment/tests/comment_template.py | ael-noblegas/pychron | 6ebbbb1f66a614972b62b7a9be4c784ae61b5d62 | [
"Apache-2.0"
] | 80 | 2018-07-17T20:10:20.000Z | 2021-08-17T15:38:24.000Z | pychron/experiment/tests/comment_template.py | AGESLDEO/pychron | 1a81e05d9fba43b797f335ceff6837c016633bcf | [
"Apache-2.0"
] | null | null | null |
from __future__ import absolute_import
__author__ = 'ross'
import unittest
from pychron.experiment.utilities.comment_template import CommentTemplater
class MockFactory(object):
irrad_level = 'A'
irrad_hole = '9'
class CommentTemplaterTestCase(unittest.TestCase):
@classmethod
def setUpClass(cls):
... | 22.815789 | 78 | 0.682814 | 659 | 0.760092 | 0 | 0 | 67 | 0.077278 | 0 | 0 | 142 | 0.163783 |
b2377bde1e5c8e5670fad099a5e53482fcf577c1 | 1,823 | py | Python | apps/roles/views.py | andipandiber/CajaAhorros | cb0769fc04529088768ea650f9ee048bd9a55837 | [
"MIT"
] | null | null | null | apps/roles/views.py | andipandiber/CajaAhorros | cb0769fc04529088768ea650f9ee048bd9a55837 | [
"MIT"
] | 8 | 2021-03-30T13:39:24.000Z | 2022-03-12T00:36:15.000Z | apps/roles/views.py | andresbermeoq/CajaAhorros | cb0769fc04529088768ea650f9ee048bd9a55837 | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.urls import reverse_lazy
from django.contrib.auth.mixins import LoginRequiredMixin
from django.views.generic import CreateView, ListView, UpdateView, DeleteView, TemplateView
from .models import Role
class baseView(LoginRequiredMixin, TemplateView):
template_name = ... | 29.403226 | 91 | 0.705979 | 1,557 | 0.854087 | 0 | 0 | 0 | 0 | 0 | 0 | 274 | 0.150302 |
b2377be653f5937e37d815cfdc93d265c2fab546 | 4,227 | py | Python | vjezba5/DPcli-part.py | vmilkovic/primjena-blockchain-tehnologije | bb18abea1fc6d1a25ae936966231de70b2531bba | [
"MIT"
] | null | null | null | vjezba5/DPcli-part.py | vmilkovic/primjena-blockchain-tehnologije | bb18abea1fc6d1a25ae936966231de70b2531bba | [
"MIT"
] | null | null | null | vjezba5/DPcli-part.py | vmilkovic/primjena-blockchain-tehnologije | bb18abea1fc6d1a25ae936966231de70b2531bba | [
"MIT"
] | null | null | null | import rpyc
from Crypto.Signature import pkcs1_15
from Crypto.Hash import SHA256
from Crypto.PublicKey import RSA
#############
## KLIJENT ##
#############
def generiraj_kljuceve():
key = RSA.generate(2048)
#stvaranje i spremanje privatnog ključa u datoteku
file_out = open("private_key.pem", "wb")
fil... | 40.257143 | 109 | 0.581263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,234 | 0.524783 |
b237ee0ace32e691329070ad414c8eef66fccd44 | 175 | py | Python | waiguan/layers/modules/__init__.py | heixialeeLeon/SSD | afdc90fafea0c0629bba789f546e3e0ca279f205 | [
"MIT"
] | null | null | null | waiguan/layers/modules/__init__.py | heixialeeLeon/SSD | afdc90fafea0c0629bba789f546e3e0ca279f205 | [
"MIT"
] | null | null | null | waiguan/layers/modules/__init__.py | heixialeeLeon/SSD | afdc90fafea0c0629bba789f546e3e0ca279f205 | [
"MIT"
] | null | null | null | from .l2norm import L2Norm
from .multibox_loss import MultiBoxLoss
from .multibox_focalloss import MultiBoxFocalLoss
__all__ = ['L2Norm', 'MultiBoxLoss', 'MultiBoxFocalLoss'] | 35 | 57 | 0.822857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0.234286 |
b238f91a5ac084ae34b9c4b97d9a95b7ebca4518 | 418 | py | Python | hlwtadmin/migrations/0035_location_disambiguation.py | Kunstenpunt/havelovewilltravel | 6a27824b4d3d8b1bf19e0bc0d0648f0f4e8abc83 | [
"Apache-2.0"
] | 1 | 2020-10-16T16:29:01.000Z | 2020-10-16T16:29:01.000Z | hlwtadmin/migrations/0035_location_disambiguation.py | Kunstenpunt/havelovewilltravel | 6a27824b4d3d8b1bf19e0bc0d0648f0f4e8abc83 | [
"Apache-2.0"
] | 365 | 2020-02-03T12:46:53.000Z | 2022-02-27T17:20:46.000Z | hlwtadmin/migrations/0035_location_disambiguation.py | Kunstenpunt/havelovewilltravel | 6a27824b4d3d8b1bf19e0bc0d0648f0f4e8abc83 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.0 on 2020-07-22 08:26
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('hlwtadmin', '0034_auto_20200722_1000'),
]
operations = [
migrations.AddField(
model_name='location',
name='disambiguat... | 22 | 74 | 0.617225 | 327 | 0.782297 | 0 | 0 | 0 | 0 | 0 | 0 | 107 | 0.255981 |
b23ae56df03e56d6049586357b729e447c6dec2f | 658 | py | Python | 819. Rotate Array/Slicing.py | tulsishankarreddy/leetcode | fffe90b0ab43a57055c248550f31ac18967fe183 | [
"MIT"
] | 1 | 2022-01-19T16:26:49.000Z | 2022-01-19T16:26:49.000Z | 819. Rotate Array/Slicing.py | tulsishankarreddy/leetcode | fffe90b0ab43a57055c248550f31ac18967fe183 | [
"MIT"
] | null | null | null | 819. Rotate Array/Slicing.py | tulsishankarreddy/leetcode | fffe90b0ab43a57055c248550f31ac18967fe183 | [
"MIT"
] | null | null | null | ''' This can be solved using the slicing method used in list. We have to modify the list by take moving the
last part of the array in reverse order and joining it with the remaining part of the list to its right'''
class Solution:
def rotate(self, nums: List[int], k: int) -> None:
"""
Do not return... | 54.833333 | 120 | 0.600304 | 442 | 0.671733 | 0 | 0 | 0 | 0 | 0 | 0 | 458 | 0.696049 |
b23c1d878bde31a9833fb50b46f378e78aeb39e0 | 4,019 | py | Python | src/pdfOut.py | virus-on/magister_work | 803d218f83cba31900156ee5f2e2f4df807ccfff | [
"MIT"
] | 2 | 2020-12-02T12:45:08.000Z | 2021-11-15T10:55:10.000Z | src/pdfOut.py | virus-on/magister_work | 803d218f83cba31900156ee5f2e2f4df807ccfff | [
"MIT"
] | null | null | null | src/pdfOut.py | virus-on/magister_work | 803d218f83cba31900156ee5f2e2f4df807ccfff | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import subprocess
import time
class PDFOutput:
def __init__(self, title_template_file, template_file, output_file):
self.title_template_file = title_template_file
self.template_file = template_file
self.output_file = output_file
def __build_title(self, data):
... | 42.755319 | 151 | 0.607863 | 3,954 | 0.983827 | 0 | 0 | 0 | 0 | 0 | 0 | 942 | 0.234387 |
b23ca7a903bc4922dc5e8b76e4f255954b93daec | 10,324 | py | Python | ecs/notifications/models.py | programmierfabrik/ecs | 2389a19453e21b2ea4e40b272552bcbd42b926a9 | [
"Apache-2.0"
] | 9 | 2017-02-13T18:17:13.000Z | 2020-11-21T20:15:54.000Z | ecs/notifications/models.py | programmierfabrik/ecs | 2389a19453e21b2ea4e40b272552bcbd42b926a9 | [
"Apache-2.0"
] | 2 | 2021-05-20T14:26:47.000Z | 2021-05-20T14:26:48.000Z | ecs/notifications/models.py | programmierfabrik/ecs | 2389a19453e21b2ea4e40b272552bcbd42b926a9 | [
"Apache-2.0"
] | 4 | 2017-04-02T18:48:59.000Z | 2021-11-23T15:40:35.000Z | from importlib import import_module
from django.conf import settings
from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.utils.translation import ugettext
from django.template import loader
from django.utils.text import slugify
from django.utils import timezone
from revers... | 37.955882 | 117 | 0.6852 | 9,413 | 0.911671 | 0 | 0 | 3,726 | 0.360872 | 0 | 0 | 922 | 0.089298 |
b23cc3375a6c8a89472ca912854ca2234009998d | 2,339 | py | Python | event/event_handler.py | rafty/ServerlessEventSoutcing | 4759a187373af6f0bfded4ff388ba74c09fc4368 | [
"Apache-2.0"
] | null | null | null | event/event_handler.py | rafty/ServerlessEventSoutcing | 4759a187373af6f0bfded4ff388ba74c09fc4368 | [
"Apache-2.0"
] | null | null | null | event/event_handler.py | rafty/ServerlessEventSoutcing | 4759a187373af6f0bfded4ff388ba74c09fc4368 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
from functools import reduce
from retrying import retry
from model import EventStore, Snapshot
from error import ItemRanShort, IntegrityError
from retry_handler import is_integrity_error, is_not_item_ran_short
logger = logging.getLogger()
logger.setLevel(logging.INFO)
class Eve... | 29.987179 | 68 | 0.650278 | 2,027 | 0.86661 | 0 | 0 | 763 | 0.326208 | 0 | 0 | 117 | 0.050021 |
b23d36fa5033cff1b7860caf5d44f22ca9d35ade | 3,422 | py | Python | iwjam_import.py | patrickgh3/iwjam | fd6f58bd5217dc13ed475779fe7f1ff6ca7f13be | [
"MIT"
] | null | null | null | iwjam_import.py | patrickgh3/iwjam | fd6f58bd5217dc13ed475779fe7f1ff6ca7f13be | [
"MIT"
] | null | null | null | iwjam_import.py | patrickgh3/iwjam | fd6f58bd5217dc13ed475779fe7f1ff6ca7f13be | [
"MIT"
] | null | null | null | from lxml import etree
import os
import sys
import shutil
import iwjam_util
# Performs an import of a mod project into a base project given a
# previously computed ProjectDiff between them,
# and a list of folder names to prefix
# ('%modname%' will be replaced with the mod's name)
def do_import(base_dir, mod_dir, pdif... | 36.404255 | 78 | 0.63647 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 988 | 0.28872 |
b23d41e777497c29e58e3ac4394589928318d38e | 4,663 | py | Python | subspacemethods/basesubspace.py | AdriBesson/spl2018_joint_sparse | bc52b31a9361c73f07ee52b4d5f36a58fb231c96 | [
"MIT"
] | 2 | 2020-07-12T02:04:10.000Z | 2021-05-23T06:37:36.000Z | subspacemethods/basesubspace.py | AdriBesson/joint_sparse_algorithms | bc52b31a9361c73f07ee52b4d5f36a58fb231c96 | [
"MIT"
] | null | null | null | subspacemethods/basesubspace.py | AdriBesson/joint_sparse_algorithms | bc52b31a9361c73f07ee52b4d5f36a58fb231c96 | [
"MIT"
] | null | null | null | from abc import ABCMeta, abstractmethod
import numpy as np
class BaseSubspace(metaclass=ABCMeta):
def __init__(self, measurements=None, A=None, k=None, rank=None, pks=[], name=''):
# Check A
if A is None:
self.__A = np.asarray(a=1, dtype=measurements.dtype)
else:
# C... | 30.477124 | 107 | 0.57581 | 4,603 | 0.987133 | 0 | 0 | 448 | 0.096075 | 0 | 0 | 1,005 | 0.215526 |
b23fca8a65b936733d00f0bac508e61b99fa0f3c | 4,550 | py | Python | glow/generate_data_sources.py | tomcent-tom/glow | 6ba5e8142416251a12e361f4216a40936562cfa1 | [
"Apache-2.0"
] | null | null | null | glow/generate_data_sources.py | tomcent-tom/glow | 6ba5e8142416251a12e361f4216a40936562cfa1 | [
"Apache-2.0"
] | null | null | null | glow/generate_data_sources.py | tomcent-tom/glow | 6ba5e8142416251a12e361f4216a40936562cfa1 | [
"Apache-2.0"
] | null | null | null | from connectors.tableau.tableau import TableauConnector
from posixpath import join
from typing import List, Dict, Tuple
import argparse
import connectors.tableau
import os
import utils
import logging
import sys
import yaml
logging.basicConfig(level=logging.INFO)
MAIN_PATH = '/Users/tomevers/projects/airglow'
CONNEC... | 39.565217 | 165 | 0.667253 | 52 | 0.011429 | 0 | 0 | 0 | 0 | 0 | 0 | 1,531 | 0.336484 |
b23fd53ddd58d9be266428160e71ab6d0021666d | 4,748 | py | Python | src/app/views/cookbook/recipe.py | rico0821/fridge | c564f9a4b656c06384d5c40db038328c35ccf1ed | [
"MIT"
] | null | null | null | src/app/views/cookbook/recipe.py | rico0821/fridge | c564f9a4b656c06384d5c40db038328c35ccf1ed | [
"MIT"
] | null | null | null | src/app/views/cookbook/recipe.py | rico0821/fridge | c564f9a4b656c06384d5c40db038328c35ccf1ed | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
app.views.cookbook.recipe
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Module for handling recipe view and upload.
--
:copyright: (c)2020 by rico0821
"""
from bson.objectid import ObjectId
from datetime import datetime
from flask import abort, request
from flask_jwt_e... | 31.236842 | 90 | 0.571398 | 4,034 | 0.849621 | 0 | 0 | 3,074 | 0.64743 | 0 | 0 | 1,076 | 0.226622 |
b2410ae215724bbd3d52cfc6ac8fa233e41ad029 | 5,141 | py | Python | modules/password.py | MasterBurnt/ToolBurnt | 479a310b7ffff58d00d362ac0fa59d95750e3304 | [
"Apache-2.0"
] | 1 | 2021-10-18T09:03:21.000Z | 2021-10-18T09:03:21.000Z | modules/password.py | MasterBurnt/ToolBurnt | 479a310b7ffff58d00d362ac0fa59d95750e3304 | [
"Apache-2.0"
] | null | null | null | modules/password.py | MasterBurnt/ToolBurnt | 479a310b7ffff58d00d362ac0fa59d95750e3304 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
#
# @name : PassList
# @url : http://github.com/MasterBurnt
# @author : MasterBurnt
#Libraries
from concurrent.futures import ThreadPoolExecutor
import datetime,os,sys,random,time
from colorama import Fore,init,Style
#C&B&I
init()
c1 = Style.BRIGHT + Fore.LIGHTWHITE_... | 30.064327 | 183 | 0.491928 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,243 | 0.241782 |
b24345cfa90040fa81b341f92e8e1c158be7a95e | 673 | py | Python | dvc/parsing/__init__.py | mbraakhekke/dvc | 235d4c9a94603131e00c9b770125584fdb369481 | [
"Apache-2.0"
] | null | null | null | dvc/parsing/__init__.py | mbraakhekke/dvc | 235d4c9a94603131e00c9b770125584fdb369481 | [
"Apache-2.0"
] | null | null | null | dvc/parsing/__init__.py | mbraakhekke/dvc | 235d4c9a94603131e00c9b770125584fdb369481 | [
"Apache-2.0"
] | null | null | null | import logging
from itertools import starmap
from funcy import join
from .context import Context
from .interpolate import resolve
logger = logging.getLogger(__name__)
STAGES = "stages"
class DataResolver:
def __init__(self, d):
self.context = Context()
self.data = d
def _resolve_entry(sel... | 24.035714 | 71 | 0.665676 | 481 | 0.71471 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0.062407 |
b243c92f9b965a3b5d10ee0df149df6c22ac02d0 | 1,332 | py | Python | Mundo 2/Aula14.Ex59.py | uirasiqueira/Exercicios_Python | 409b7be9cf278e3043149654de7b41be56a3d951 | [
"MIT"
] | null | null | null | Mundo 2/Aula14.Ex59.py | uirasiqueira/Exercicios_Python | 409b7be9cf278e3043149654de7b41be56a3d951 | [
"MIT"
] | null | null | null | Mundo 2/Aula14.Ex59.py | uirasiqueira/Exercicios_Python | 409b7be9cf278e3043149654de7b41be56a3d951 | [
"MIT"
] | null | null | null | '''Crie um programa que leia dois valores e mostre um menu na tela:
[1] somar
[2] multiplicar
[3] maior
[4] novos numeros
[5] sair do programa
Seu programa devera realizar a operação solicitada em cada caso'''
v1= int(input('Digite um numero: '))
v2 = int(input('Digite outro numero: '))
operac... | 33.3 | 104 | 0.62012 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 818 | 0.606825 |
b243f7691e46a57fcead4522c62b345ef6662d0c | 1,692 | py | Python | interviewbit/TwoPointers/kthsmallest.py | zazhang/coding-problems | 704f0ab22ecdc5fca1978ac7791f43258eb441dd | [
"MIT"
] | null | null | null | interviewbit/TwoPointers/kthsmallest.py | zazhang/coding-problems | 704f0ab22ecdc5fca1978ac7791f43258eb441dd | [
"MIT"
] | null | null | null | interviewbit/TwoPointers/kthsmallest.py | zazhang/coding-problems | 704f0ab22ecdc5fca1978ac7791f43258eb441dd | [
"MIT"
] | null | null | null | #!usr/bin/env ipython
"""Coding interview problem (array, math):
See `https://www.interviewbit.com/problems/kth-smallest-element-in-the-array/`
Find the kth smallest element in an unsorted array of non-negative integers.
Definition of kth smallest element:
kth smallest element is the minimum possible n such that t... | 26.030769 | 105 | 0.613475 | 911 | 0.538416 | 0 | 0 | 0 | 0 | 0 | 0 | 947 | 0.559693 |
b2445103c2858f39d46bd3d45d182776355fdcdc | 90 | py | Python | grab_screen/__init__.py | andrei-shabanski/grab-screen | 758187262156aac85f6736c9b8299187b49e43a5 | [
"MIT"
] | 9 | 2017-08-15T03:45:03.000Z | 2022-02-21T18:06:32.000Z | grab_screen/__init__.py | andrei-shabanski/grab-screen | 758187262156aac85f6736c9b8299187b49e43a5 | [
"MIT"
] | 211 | 2017-07-03T15:24:15.000Z | 2022-02-21T14:09:36.000Z | grab_screen/__init__.py | andrei-shabanski/grab-screen | 758187262156aac85f6736c9b8299187b49e43a5 | [
"MIT"
] | 4 | 2017-08-15T03:44:46.000Z | 2022-02-03T10:25:20.000Z | from .cli import main
from .version import __version__
__all__ = ['__version__', 'main']
| 18 | 33 | 0.744444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.211111 |
b244e34a9bc2f4dc206325d9907079cdca8ac5ad | 1,021 | py | Python | Test/test_conf_ap/conf_hostapd/create_config.py | liquidinvestigations/wifi-test | beae8674730d78330b1b18214c86206d858ed604 | [
"MIT"
] | null | null | null | Test/test_conf_ap/conf_hostapd/create_config.py | liquidinvestigations/wifi-test | beae8674730d78330b1b18214c86206d858ed604 | [
"MIT"
] | null | null | null | Test/test_conf_ap/conf_hostapd/create_config.py | liquidinvestigations/wifi-test | beae8674730d78330b1b18214c86206d858ed604 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from hostapdconf.parser import HostapdConf
from hostapdconf import helpers as ha
import subprocess
def create_hostapd_conf(ssid, password, interface):
"""
Create a new hostapd.conf with the given ssid, password, interface.
Overwrites the current config file.
"""
subprocess... | 27.594595 | 75 | 0.695397 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 427 | 0.418217 |
b245f0f4f9cda0ef7cfead4f0aa73f69f90186e7 | 1,669 | py | Python | tests/test_paddle.py | ankitshah009/MMdnn | a03d800eb4016765e97f82eb5d2e69f98de3a9cf | [
"MIT"
] | 3,442 | 2017-11-20T08:39:51.000Z | 2019-05-06T10:51:19.000Z | tests/test_paddle.py | ankitshah009/MMdnn | a03d800eb4016765e97f82eb5d2e69f98de3a9cf | [
"MIT"
] | 430 | 2017-11-29T04:21:48.000Z | 2019-05-06T05:37:37.000Z | tests/test_paddle.py | ankitshah009/MMdnn | a03d800eb4016765e97f82eb5d2e69f98de3a9cf | [
"MIT"
] | 683 | 2017-11-20T08:50:34.000Z | 2019-05-04T04:25:14.000Z | from __future__ import absolute_import
from __future__ import print_function
import os
import sys
from conversion_imagenet import TestModels
from conversion_imagenet import is_paddle_supported
def get_test_table():
return { 'paddle' : {
'resnet50' : [
TestModels.onnx_emit,
... | 30.345455 | 56 | 0.559617 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 364 | 0.218095 |
b246c295c51a8336e9c8fb87cdefb3fbbe9fe216 | 900 | py | Python | cabinet/tools.py | cauabernardino/cabinet | 96bf0d6e467f35d6241ea97f0553bb449fefd15e | [
"MIT"
] | null | null | null | cabinet/tools.py | cauabernardino/cabinet | 96bf0d6e467f35d6241ea97f0553bb449fefd15e | [
"MIT"
] | null | null | null | cabinet/tools.py | cauabernardino/cabinet | 96bf0d6e467f35d6241ea97f0553bb449fefd15e | [
"MIT"
] | null | null | null | import pathlib
import shutil
from typing import Dict, List, Union
from cabinet.consts import SUPPORTED_FILETYPES
def dir_parser(path_to_dir: str) -> Dict[str, Dict[str, str]]:
"""
Parses the given directory, and returns the path, stem and suffix for files.
"""
files = pathlib.Path(path_to_dir).resolv... | 23.684211 | 80 | 0.638889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 182 | 0.202222 |
b2473e8998bf083e1cd206ca3716ffba6efcc23c | 1,778 | py | Python | stickyuploads/utils.py | caktus/django-sticky-uploads | a57539655ba991f63f31f0a5c98d790947bcd1b8 | [
"BSD-3-Clause"
] | 11 | 2015-08-14T14:38:02.000Z | 2019-12-16T14:39:30.000Z | stickyuploads/utils.py | caktus/django-sticky-uploads | a57539655ba991f63f31f0a5c98d790947bcd1b8 | [
"BSD-3-Clause"
] | 16 | 2015-08-05T14:02:19.000Z | 2018-03-28T15:43:47.000Z | stickyuploads/utils.py | caktus/django-sticky-uploads | a57539655ba991f63f31f0a5c98d790947bcd1b8 | [
"BSD-3-Clause"
] | 6 | 2015-08-14T12:34:52.000Z | 2019-10-16T04:18:37.000Z | from __future__ import unicode_literals
import os
from django.core import signing
from django.core.exceptions import ImproperlyConfigured
from django.core.files.storage import get_storage_class
from django.utils.functional import LazyObject
def serialize_upload(name, storage, url):
"""
Serialize uploaded fi... | 29.147541 | 79 | 0.654668 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 468 | 0.263217 |
b248f043c0feea53fbb2ab2028061229d654718b | 693 | py | Python | build/beginner_tutorials/cmake/beginner_tutorials-genmsg-context.py | aracelis-git/beginner_tutorials | 3bb11e496c414237543e8783dd01b57ef8952bca | [
"Apache-2.0"
] | null | null | null | build/beginner_tutorials/cmake/beginner_tutorials-genmsg-context.py | aracelis-git/beginner_tutorials | 3bb11e496c414237543e8783dd01b57ef8952bca | [
"Apache-2.0"
] | null | null | null | build/beginner_tutorials/cmake/beginner_tutorials-genmsg-context.py | aracelis-git/beginner_tutorials | 3bb11e496c414237543e8783dd01b57ef8952bca | [
"Apache-2.0"
] | null | null | null | # generated from genmsg/cmake/pkg-genmsg.context.in
messages_str = "/home/viki/catkin_ws/src/beginner_tutorials/msg/Num.msg"
services_str = "/home/viki/catkin_ws/src/beginner_tutorials/srv/ResetCount.srv;/home/viki/catkin_ws/src/beginner_tutorials/srv/AddTwoInts.srv"
pkg_name = "beginner_tutorials"
dependencies_str = ... | 57.75 | 145 | 0.799423 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 510 | 0.735931 |
b249e4cc4dd6019c8854e04867ecd673f6f4e948 | 9,392 | py | Python | demo/utils.py | NguyenTuan-Dat/Custom_3D | 148d3e4baa0d0d36714ec2c164ef31cff1bb5751 | [
"Apache-2.0"
] | 41 | 2021-09-16T08:19:19.000Z | 2022-03-22T10:10:31.000Z | demo/utils.py | NguyenTuan-Dat/Custom_3D | 148d3e4baa0d0d36714ec2c164ef31cff1bb5751 | [
"Apache-2.0"
] | null | null | null | demo/utils.py | NguyenTuan-Dat/Custom_3D | 148d3e4baa0d0d36714ec2c164ef31cff1bb5751 | [
"Apache-2.0"
] | 2 | 2021-11-26T14:55:32.000Z | 2021-12-05T12:57:24.000Z | import os
import cv2
import numpy as np
import torch
import torch.nn as nn
import yaml
class Encoder(nn.Module):
def __init__(self, cin, cout, nf=64, activation=nn.Tanh):
super(Encoder, self).__init__()
network = [
nn.Conv2d(cin, nf, kernel_size=4, stride=2, padding=1, bias=False), #... | 40.834783 | 117 | 0.544719 | 4,147 | 0.441546 | 0 | 0 | 0 | 0 | 0 | 0 | 996 | 0.106048 |
b24b76ff37f2289a78c64dcda02fb884eb113dbd | 227 | py | Python | examples/scannet_normals/data.py | goodok/fastai_sparse | 802ede772c19ccca7449eb13d0a107bc0c10ab0f | [
"MIT"
] | 49 | 2019-03-31T21:20:27.000Z | 2021-06-30T18:46:58.000Z | examples/scannet_normals/data.py | goodok/fastai_sparse | 802ede772c19ccca7449eb13d0a107bc0c10ab0f | [
"MIT"
] | 6 | 2019-04-17T16:01:05.000Z | 2020-11-10T09:22:10.000Z | examples/scannet_normals/data.py | goodok/fastai_sparse | 802ede772c19ccca7449eb13d0a107bc0c10ab0f | [
"MIT"
] | 5 | 2019-04-01T10:46:29.000Z | 2021-01-03T05:18:08.000Z | # -*- coding: utf-8 -*-
from functools import partial
from fastai_sparse.data import SparseDataBunch
merge_fn = partial(SparseDataBunch.merge_fn, keys_lists=['id', 'labels_raw', 'filtred_mask', 'random_seed', 'num_points'])
| 28.375 | 122 | 0.753304 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0.343612 |
b24d5ff4a2324937255e18e0f636457956239a07 | 1,749 | py | Python | plugins/okta/komand_okta/actions/reset_password/schema.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 46 | 2019-06-05T20:47:58.000Z | 2022-03-29T10:18:01.000Z | plugins/okta/komand_okta/actions/reset_password/schema.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 386 | 2019-06-07T20:20:39.000Z | 2022-03-30T17:35:01.000Z | plugins/okta/komand_okta/actions/reset_password/schema.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 43 | 2019-07-09T14:13:58.000Z | 2022-03-28T12:04:46.000Z | # GENERATED BY KOMAND SDK - DO NOT EDIT
import komand
import json
class Component:
DESCRIPTION = "This action resets password for Okta user and transitions user status to PASSWORD_EXPIRED, so that the user is required to change their password at their next login"
class Input:
TEMP_PASSWORD = "temp_password"... | 22.714286 | 184 | 0.606632 | 1,660 | 0.949114 | 0 | 0 | 0 | 0 | 0 | 0 | 1,269 | 0.725557 |
b24fa470c54ab2d92980faab3b5c114f1efa0392 | 151 | py | Python | Recursion/recursiopow.py | TheG0dfath3r/Python | 73f40e9828b953c3e614a21a8980eaa81b5c066e | [
"MIT"
] | null | null | null | Recursion/recursiopow.py | TheG0dfath3r/Python | 73f40e9828b953c3e614a21a8980eaa81b5c066e | [
"MIT"
] | null | null | null | Recursion/recursiopow.py | TheG0dfath3r/Python | 73f40e9828b953c3e614a21a8980eaa81b5c066e | [
"MIT"
] | 2 | 2019-09-30T21:17:57.000Z | 2019-10-01T16:23:33.000Z | x=int(input("no 1 "))
y=int(input("no 2 "))
def pow(x,y):
if y!=0:
return(x*pow(x,y-1))
else:
return 1
print(pow(x,y))
| 16.777778 | 29 | 0.463576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0.092715 |
b2517e50917150fdb0763470ea2ed80dc851178d | 1,800 | py | Python | scripts/egomotion_kitti_eval/old/generate_grid_search_validation_freak_stage2.py | bartn8/stereo-vision | 1180045fe560478e5c441e75202cc899fe90ec3d | [
"BSD-3-Clause"
] | 52 | 2016-04-02T18:18:48.000Z | 2022-02-14T11:47:58.000Z | scripts/egomotion_kitti_eval/old/generate_grid_search_validation_freak_stage2.py | bartn8/stereo-vision | 1180045fe560478e5c441e75202cc899fe90ec3d | [
"BSD-3-Clause"
] | 3 | 2016-08-01T14:36:44.000Z | 2021-02-14T08:15:50.000Z | scripts/egomotion_kitti_eval/old/generate_grid_search_validation_freak_stage2.py | bartn8/stereo-vision | 1180045fe560478e5c441e75202cc899fe90ec3d | [
"BSD-3-Clause"
] | 26 | 2016-08-25T11:28:05.000Z | 2022-02-18T12:17:47.000Z | #!/usr/bin/python
hamming_threshold = [50, 60]
pattern_scale = [4.0, 6.0, 8.0, 10.0]
fp_runscript = open("/mnt/ssd/kivan/cv-stereo/scripts/eval_batch/run_batch_validation.sh", 'w')
fp_runscript.write("#!/bin/bash\n\n")
cnt = 0
for i in range(len(hamming_threshold)):
for j in range(len(pattern_scale)):
cn... | 40 | 152 | 0.606111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 928 | 0.515556 |
b25199ace7d60d001d07006102f2cf38ff218d27 | 8,618 | py | Python | tensorflow_tts/processor/baker_online_tts.py | outman2008/TensorFlowTTS | 7e84f9d91fcfefc031c28df5203779af5614fe5e | [
"Apache-2.0"
] | null | null | null | tensorflow_tts/processor/baker_online_tts.py | outman2008/TensorFlowTTS | 7e84f9d91fcfefc031c28df5203779af5614fe5e | [
"Apache-2.0"
] | null | null | null | tensorflow_tts/processor/baker_online_tts.py | outman2008/TensorFlowTTS | 7e84f9d91fcfefc031c28df5203779af5614fe5e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# 调用方式
# python online_tts.py -client_secret=你的client_secret -client_id=你的client_secret -file_save_path=test.wav --text=今天天气不错哦 --audiotype=6
from typing import TextIO
import requests
import json
import argparse
import os
import time
from g2p_en import G2p as grapheme_to_phn
impor... | 35.759336 | 330 | 0.598863 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,227 | 0.479034 |
b252bb8863e2cde9dc1c8cf3fba5014be866dbed | 5,607 | py | Python | gnuradio-3.7.13.4/gr-qtgui/apps/plot_spectrogram_base.py | v1259397/cosmic-gnuradio | 64c149520ac6a7d44179c3f4a38f38add45dd5dc | [
"BSD-3-Clause"
] | 1 | 2021-03-09T07:32:37.000Z | 2021-03-09T07:32:37.000Z | gnuradio-3.7.13.4/gr-qtgui/apps/plot_spectrogram_base.py | v1259397/cosmic-gnuradio | 64c149520ac6a7d44179c3f4a38f38add45dd5dc | [
"BSD-3-Clause"
] | null | null | null | gnuradio-3.7.13.4/gr-qtgui/apps/plot_spectrogram_base.py | v1259397/cosmic-gnuradio | 64c149520ac6a7d44179c3f4a38f38add45dd5dc | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2013 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your option)
# ... | 32.789474 | 97 | 0.619939 | 2,996 | 0.534332 | 0 | 0 | 0 | 0 | 0 | 0 | 1,428 | 0.254682 |
b252ce6e7da24bbb6a02a3119c677f69f7ea2e58 | 4,699 | py | Python | unused/csv_slicer_crop_threshold.py | eufmike/storm_image_processing | 076335519be0be3b66d289a180421d36770ab820 | [
"CC-BY-4.0"
] | null | null | null | unused/csv_slicer_crop_threshold.py | eufmike/storm_image_processing | 076335519be0be3b66d289a180421d36770ab820 | [
"CC-BY-4.0"
] | null | null | null | unused/csv_slicer_crop_threshold.py | eufmike/storm_image_processing | 076335519be0be3b66d289a180421d36770ab820 | [
"CC-BY-4.0"
] | null | null | null | # %%
# slice the csv according to the frame size
import os, sys
import pandas as pd
# from tkinter import *
# Functions Section Begins ----------------------------------------------------- #
def dircheck(targetpaths):
"""
dircheck checks the target folder and create the folder if it does not exist.
targetdirlist: l... | 32.631944 | 100 | 0.683337 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,219 | 0.259362 |
b25374f98c200b684bc06d7e6e70a0fae5c15a98 | 4,682 | py | Python | doodle.py | plasticuproject/DoodleNet | 1abbf05b2302ce6d8a47d369ddb45d4c5a0dc26d | [
"MIT"
] | 2 | 2020-03-16T01:26:42.000Z | 2020-06-19T12:04:37.000Z | doodle.py | plasticuproject/DoodleNet | 1abbf05b2302ce6d8a47d369ddb45d4c5a0dc26d | [
"MIT"
] | null | null | null | doodle.py | plasticuproject/DoodleNet | 1abbf05b2302ce6d8a47d369ddb45d4c5a0dc26d | [
"MIT"
] | null | null | null | import pygame
import random
import numpy as np
import cv2
from dutil import add_pos
#User constants
device = "gpu"
model_fname = 'Model.h5'
background_color = (210, 210, 210)
input_w = 144
input_h = 192
image_scale = 3
image_padding = 10
mouse_interps = 10
#Derived constants
drawing_w = input_w * image_scale
drawing... | 30.012821 | 90 | 0.683682 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 324 | 0.069201 |
b253aa300dbf2d178cf0b2b7ef4c04bdb3c8a3ab | 2,259 | py | Python | tests/dmon/test_dmon.py | Bounti/avatar2_dmon | c24a908b2cd3faea290380b4d0364d23b4430d2e | [
"Apache-2.0"
] | null | null | null | tests/dmon/test_dmon.py | Bounti/avatar2_dmon | c24a908b2cd3faea290380b4d0364d23b4430d2e | [
"Apache-2.0"
] | null | null | null | tests/dmon/test_dmon.py | Bounti/avatar2_dmon | c24a908b2cd3faea290380b4d0364d23b4430d2e | [
"Apache-2.0"
] | null | null | null | from avatar2 import *
import sys
import os
import logging
import time
import argparse
import subprocess
import struct
import ctypes
from random import randint
# For profiling
import pstats
import numpy as np
import numpy.testing as npt
logging.basicConfig(filename='/tmp/inception-tests.log', level=logging.INFO)
GDB... | 29.337662 | 146 | 0.698097 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 993 | 0.439381 |
b255a55b50c0a4e6111dcdc38c9b04c04072f949 | 7,716 | py | Python | lexer/scanner.py | lohhans/Compiladores-2020.4 | c196c11d0c1ec3b25b54b01e0729474205f328ed | [
"MIT"
] | 3 | 2021-01-08T03:41:35.000Z | 2021-01-11T04:22:31.000Z | lexer/scanner.py | laisy/Compiladores-2020.4 | c196c11d0c1ec3b25b54b01e0729474205f328ed | [
"MIT"
] | 1 | 2021-01-17T07:56:56.000Z | 2021-01-17T07:56:56.000Z | lexer/scanner.py | laisy/Compiladores-2020.4 | c196c11d0c1ec3b25b54b01e0729474205f328ed | [
"MIT"
] | 3 | 2021-01-08T00:13:27.000Z | 2021-09-09T13:56:54.000Z | from lexer.token import Token
class Scanner:
# Construtor da classe
def __init__(self, programa):
self.inicio = 0
self.atual = 0
self.linha = 1
self.tokens = []
self.programa = programa
# Busca caracteres, passa para o próximo char (atual é o char a frente do que ... | 31.365854 | 100 | 0.424313 | 7,719 | 0.995743 | 0 | 0 | 0 | 0 | 0 | 0 | 2,047 | 0.264061 |
b256d93e962708f149cc2aba7b423f5e16306972 | 2,295 | py | Python | tests/test_laser.py | chiragjn/laserembeddings | 37f2aaf723966f24fe0a8d473241725fba46f691 | [
"BSD-3-Clause"
] | null | null | null | tests/test_laser.py | chiragjn/laserembeddings | 37f2aaf723966f24fe0a8d473241725fba46f691 | [
"BSD-3-Clause"
] | null | null | null | tests/test_laser.py | chiragjn/laserembeddings | 37f2aaf723966f24fe0a8d473241725fba46f691 | [
"BSD-3-Clause"
] | null | null | null | import os
import pytest
import numpy as np
from laserembeddings import Laser
SIMILARITY_TEST = os.getenv('SIMILARITY_TEST')
def test_laser():
with open(Laser.DEFAULT_ENCODER_FILE, 'rb') as f_encoder:
laser = Laser(
Laser.DEFAULT_BPE_CODES_FILE,
None,
f_encoder,
... | 32.785714 | 151 | 0.57342 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 738 | 0.320035 |
b2587d1aad26d95bdbf9bbeb64895092e8199eaa | 1,467 | py | Python | alipay/aop/api/domain/TaxReceiptOnceInfo.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/TaxReceiptOnceInfo.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/TaxReceiptOnceInfo.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class TaxReceiptOnceInfo(object):
def __init__(self):
self._cognizant_mobile = None
self._ep_tax_id = None
@property
def cognizant_mobile(self):
return self._cognizant_... | 26.196429 | 83 | 0.611452 | 1,350 | 0.920245 | 0 | 0 | 622 | 0.423995 | 0 | 0 | 192 | 0.130879 |
b2590f93012b66c0c656914441825de752b36b9c | 1,371 | py | Python | Make-Sense-of-Census/code.py | NishantNair14/greyatom-python-for-data-science | e269530300c996eb67e7c1f2317d0b279b8091ae | [
"MIT"
] | null | null | null | Make-Sense-of-Census/code.py | NishantNair14/greyatom-python-for-data-science | e269530300c996eb67e7c1f2317d0b279b8091ae | [
"MIT"
] | null | null | null | Make-Sense-of-Census/code.py | NishantNair14/greyatom-python-for-data-science | e269530300c996eb67e7c1f2317d0b279b8091ae | [
"MIT"
] | null | null | null | # --------------
# Importing header files
import numpy as np
# Path of the file has been stored in variable called 'path'
#New record
new_record=[[50, 9, 4, 1, 0, 0, 40, 0]]
#Code starts here
data_file='subset_1000.csv'
data=np.genfromtxt(path,delimiter=",",skip_header=1)
print(data)
census=np.conc... | 19.585714 | 61 | 0.676878 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 288 | 0.210066 |
b259ceb8b82845e18e8b6159d8f807dea2a352fc | 1,478 | py | Python | scripts/rgb2labels.py | theRealSuperMario/supermariopy | 9fff8275278ff26caff50da86109c25d276bb30b | [
"MIT"
] | 36 | 2019-07-14T16:10:37.000Z | 2022-03-29T10:11:03.000Z | scripts/rgb2labels.py | theRealSuperMario/supermariopy | 9fff8275278ff26caff50da86109c25d276bb30b | [
"MIT"
] | 3 | 2019-10-09T15:11:13.000Z | 2021-07-31T02:17:43.000Z | scripts/rgb2labels.py | theRealSuperMario/supermariopy | 9fff8275278ff26caff50da86109c25d276bb30b | [
"MIT"
] | 14 | 2019-08-29T14:11:54.000Z | 2022-03-06T13:41:56.000Z | import numpy as np
from matplotlib import pyplot as plt
"""
https://stackoverflow.com/questions/42750910/convert-rgb-image-to-index-image/62980021#62980021
convert semantic labels from RGB coding to index coding
Steps:
1. define COLORS (see below)
2. hash colors
3. run rgb2index(segmentation_rgb)
see example below
T... | 28.980392 | 95 | 0.696888 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 442 | 0.299053 |
b25a1d4640dfacab5e05d7eaa4739062eb18d83d | 9,857 | py | Python | app/models/template.py | FireFragment/memegen | f0a1b3ba465b8cd68a873951ab50eeaa91d57a35 | [
"MIT"
] | null | null | null | app/models/template.py | FireFragment/memegen | f0a1b3ba465b8cd68a873951ab50eeaa91d57a35 | [
"MIT"
] | null | null | null | app/models/template.py | FireFragment/memegen | f0a1b3ba465b8cd68a873951ab50eeaa91d57a35 | [
"MIT"
] | null | null | null | import asyncio
import shutil
from functools import cached_property
from pathlib import Path
import aiopath
from datafiles import datafile, field
from furl import furl
from sanic import Request
from sanic.log import logger
from .. import settings, utils
from ..types import Dimensions
from .overlay import Overlay
from ... | 32.747508 | 84 | 0.573501 | 9,451 | 0.958811 | 0 | 0 | 9,516 | 0.965405 | 3,906 | 0.396267 | 969 | 0.098306 |
b25a3c66ad289a972f5766ff0bd4fc4b5518f26d | 833 | py | Python | corpora_toolbox/utils/io.py | laurahzdz/corpora_toolbox | 14a14534df1d80e6a7b2f37ce5f547f1cb5e81a4 | [
"MIT"
] | null | null | null | corpora_toolbox/utils/io.py | laurahzdz/corpora_toolbox | 14a14534df1d80e6a7b2f37ce5f547f1cb5e81a4 | [
"MIT"
] | null | null | null | corpora_toolbox/utils/io.py | laurahzdz/corpora_toolbox | 14a14534df1d80e6a7b2f37ce5f547f1cb5e81a4 | [
"MIT"
] | null | null | null | import codecs
import os
# Function to save a string into a file
def save_string_in_file(string_text, file_name):
with codecs.open(file_name, "w", "utf-8") as f:
f.write(string_text)
f.close()
# Function to read all files in a dir with a specific extension
def read_files_in_dir_ext(dir_route, exten... | 25.242424 | 68 | 0.698679 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 195 | 0.234094 |
b25bc6b4a0128eafc07471d9e7edfbe8c99fcc86 | 4,108 | py | Python | Games/WarCardGame.py | AyselHavutcu/PythonGames | 8144f56a4c015e43a94ab529244475c3db9adee4 | [
"MIT"
] | null | null | null | Games/WarCardGame.py | AyselHavutcu/PythonGames | 8144f56a4c015e43a94ab529244475c3db9adee4 | [
"MIT"
] | null | null | null | Games/WarCardGame.py | AyselHavutcu/PythonGames | 8144f56a4c015e43a94ab529244475c3db9adee4 | [
"MIT"
] | null | null | null | import random
suits = ('Hearts', 'Diamonds', 'Spades', 'Clubs')
ranks = ('Two', 'Three', 'Four', 'Five', 'Six', 'Seven', 'Eight', 'Nine', 'Ten', 'Jack', 'Queen', 'King', 'Ace')
values = {'Two':2, 'Three':3, 'Four':4, 'Five':5, 'Six':6, 'Seven':7, 'Eight':8,
'Nine':9, 'Ten':10, 'Jack':11, 'Queen':12, 'King'... | 30.42963 | 115 | 0.595424 | 1,350 | 0.328627 | 0 | 0 | 0 | 0 | 0 | 0 | 1,240 | 0.30185 |
b25bc80a13089b17ce70ec72af0643fdd3cdbaca | 16,503 | py | Python | startracker/beast/beast.py | Oregon-Tech-Rocketry-and-Aerospace/space-debris-card | d72303436b6cb1a409d5217d0518db0b0335d10a | [
"MIT"
] | null | null | null | startracker/beast/beast.py | Oregon-Tech-Rocketry-and-Aerospace/space-debris-card | d72303436b6cb1a409d5217d0518db0b0335d10a | [
"MIT"
] | null | null | null | startracker/beast/beast.py | Oregon-Tech-Rocketry-and-Aerospace/space-debris-card | d72303436b6cb1a409d5217d0518db0b0335d10a | [
"MIT"
] | null | null | null | # This file was automatically generated by SWIG (http://www.swig.org).
# Version 4.0.2
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info as _swig_python_version_info
if _swig_python_version_info < (2, 7, 0):
raise Runtime... | 39.57554 | 150 | 0.712719 | 12,390 | 0.750773 | 0 | 0 | 0 | 0 | 0 | 0 | 2,464 | 0.149306 |
b25c863ab03cce95c0e614b48a6296f7ce35eeb0 | 2,522 | py | Python | development_playgrounds/transformation_planar_flow_test.py | ai-di/Brancher | 01d51137b0e6fc81512994c21cc3a19287353767 | [
"MIT"
] | 208 | 2019-06-15T13:48:40.000Z | 2021-10-16T05:03:46.000Z | development_playgrounds/transformation_planar_flow_test.py | ai-di/Brancher | 01d51137b0e6fc81512994c21cc3a19287353767 | [
"MIT"
] | 18 | 2019-06-17T11:22:13.000Z | 2019-09-26T10:45:59.000Z | development_playgrounds/transformation_planar_flow_test.py | ai-di/Brancher | 01d51137b0e6fc81512994c21cc3a19287353767 | [
"MIT"
] | 32 | 2019-06-15T19:08:53.000Z | 2020-02-16T13:39:41.000Z | import matplotlib.pyplot as plt
import numpy as np
import torch
from brancher.variables import ProbabilisticModel
from brancher.standard_variables import NormalVariable, DeterministicVariable, LogNormalVariable
import brancher.functions as BF
from brancher.visualizations import plot_density
from brancher.transformatio... | 31.525 | 96 | 0.676447 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 251 | 0.099524 |
b25e6638db74f47962fb3638fca683037c34ed82 | 3,837 | py | Python | src/onegov/people/models/membership.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/people/models/membership.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/people/models/membership.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from onegov.core.orm import Base
from onegov.core.orm.mixins import ContentMixin
from onegov.core.orm.mixins import TimestampMixin
from onegov.core.orm.mixins import UTCPublicationMixin
from onegov.core.orm.types import UUID
from onegov.search import ORMSearchable
from sqlalchemy import Column
from sqlalchemy import Fo... | 31.195122 | 84 | 0.661194 | 3,306 | 0.861611 | 0 | 0 | 806 | 0.21006 | 0 | 0 | 1,393 | 0.363044 |
b2600eaa1ce4c305aedb5991b27f9834888e24d3 | 512 | py | Python | setup.py | drrobotk/multilateral_index_calc | 7b1cf2f178e4407167c90ed64743f9357da1d4f0 | [
"MIT"
] | 3 | 2021-11-27T00:00:56.000Z | 2022-02-14T09:58:33.000Z | setup.py | drrobotk/multilateral_index_calc | 7b1cf2f178e4407167c90ed64743f9357da1d4f0 | [
"MIT"
] | null | null | null | setup.py | drrobotk/multilateral_index_calc | 7b1cf2f178e4407167c90ed64743f9357da1d4f0 | [
"MIT"
] | null | null | null | from gettext import find
from setuptools import setup, find_packages
setup(
name='PriceIndexCalc',
version='0.1-dev9',
description='Price Index Calculator using bilateral and multilateral methods',
author='Dr. Usman Kayani',
url='https://github.com/drrobotk/PriceIndexCalc',
author_email='usman.... | 32 | 82 | 0.703125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 217 | 0.423828 |
b2604e0c3e4e10fe06252e6006860caca1b86c21 | 480 | py | Python | cryptofeed_werks/bigquery_storage/constants.py | globophobe/crypto-tick-data | 7ec5d1e136b9bc27ae936f55cf6ab7fe5e37bda4 | [
"MIT"
] | null | null | null | cryptofeed_werks/bigquery_storage/constants.py | globophobe/crypto-tick-data | 7ec5d1e136b9bc27ae936f55cf6ab7fe5e37bda4 | [
"MIT"
] | null | null | null | cryptofeed_werks/bigquery_storage/constants.py | globophobe/crypto-tick-data | 7ec5d1e136b9bc27ae936f55cf6ab7fe5e37bda4 | [
"MIT"
] | null | null | null | import os
try:
from google.cloud import bigquery # noqa
except ImportError:
BIGQUERY = False
else:
BIGQUERY = True
GOOGLE_APPLICATION_CREDENTIALS = "GOOGLE_APPLICATION_CREDENTIALS"
BIGQUERY_LOCATION = "BIGQUERY_LOCATION"
BIGQUERY_DATASET = "BIGQUERY_DATASET"
def use_bigquery():
return (
B... | 20 | 65 | 0.729167 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75 | 0.15625 |
b261027bb447ffd4f357da57323ee5f92a50b62a | 599 | py | Python | todoapp/todos/models.py | Buddheshwar-Nath-Keshari/test-ubuntu | 5e801ecd21503f160e52c091120a1a0c80c6600d | [
"MIT"
] | null | null | null | todoapp/todos/models.py | Buddheshwar-Nath-Keshari/test-ubuntu | 5e801ecd21503f160e52c091120a1a0c80c6600d | [
"MIT"
] | null | null | null | todoapp/todos/models.py | Buddheshwar-Nath-Keshari/test-ubuntu | 5e801ecd21503f160e52c091120a1a0c80c6600d | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from django.db import models
from django.utils.encoding import smart_text as smart_unicode
from django.utils.translation import ugettext_lazy as _
class Todo(models.Model):
"""
Needed fields
- user (fk to User Model - Use AUTH_USER_MODEL from django.conf.se... | 31.526316 | 81 | 0.707846 | 408 | 0.681135 | 0 | 0 | 0 | 0 | 0 | 0 | 378 | 0.631052 |
b2612d097a5e022b18b2c108ce7b4e1fdc16b1dc | 6,054 | py | Python | ultra_config_tests/unit_tests/test_ultra_config.py | timmartin19/ultra-config | 9af6a1313f49bf86b230be8e8beeb1c3479b9ab6 | [
"MIT"
] | 1 | 2017-01-05T18:32:22.000Z | 2017-01-05T18:32:22.000Z | ultra_config_tests/unit_tests/test_ultra_config.py | timmartin19/ultra-config | 9af6a1313f49bf86b230be8e8beeb1c3479b9ab6 | [
"MIT"
] | 239 | 2018-08-10T19:28:42.000Z | 2022-03-28T09:40:20.000Z | ultra_config_tests/unit_tests/test_ultra_config.py | timmartin19/ultra-config | 9af6a1313f49bf86b230be8e8beeb1c3479b9ab6 | [
"MIT"
] | 1 | 2019-06-10T14:14:15.000Z | 2019-06-10T14:14:15.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import os
import unittest
from ultra_config import simple_config, load_json_file_settings, \
load_configparser_settings, load_python_object_settings, load_dict_setti... | 38.316456 | 103 | 0.66964 | 5,639 | 0.93145 | 0 | 0 | 0 | 0 | 0 | 0 | 617 | 0.101916 |
b264318ef812ccb5494cb1fbb53e013385e1b79c | 970 | py | Python | leetcode/87. Scramble String.py | CSU-FulChou/IOS_er | 4286677854c4afe61f745bfd087527e369402dc7 | [
"MIT"
] | 2 | 2020-02-10T15:20:03.000Z | 2020-02-23T07:23:57.000Z | leetcode/87. Scramble String.py | CSU-FulChou/IOS_er | 4286677854c4afe61f745bfd087527e369402dc7 | [
"MIT"
] | null | null | null | leetcode/87. Scramble String.py | CSU-FulChou/IOS_er | 4286677854c4afe61f745bfd087527e369402dc7 | [
"MIT"
] | 1 | 2020-02-24T04:46:44.000Z | 2020-02-24T04:46:44.000Z | # 2021.04.16 hard:
class Solution:
def isScramble(self, s1: str, s2: str) -> bool:
'''
dp 问题：
1. 子字符串应该一样长. 很简单已经保证了
子字符串一样，那么久直接返回 True
2. 子字符串中 存在的字母应该一样， 同一个字母的数量应该一样多 Count()
两种分割方式，交换 或者 不交换不断的迭代下去：
分割的两种方式要写对！
'''
@cache
def df... | 33.448276 | 98 | 0.5 | 1,162 | 0.98308 | 0 | 0 | 595 | 0.503384 | 0 | 0 | 474 | 0.401015 |
b264888cc9f1eb496c9df03db998069fffdf3f86 | 3,079 | py | Python | packaging/setup/plugins/ovirt-engine-setup/all-in-one/super_user.py | SunOfShine/ovirt-engine | 7684597e2d38ff854e629e5cbcbb9f21888cb498 | [
"Apache-2.0"
] | 1 | 2021-02-02T05:38:35.000Z | 2021-02-02T05:38:35.000Z | packaging/setup/plugins/ovirt-engine-setup/all-in-one/super_user.py | SunOfShine/ovirt-engine | 7684597e2d38ff854e629e5cbcbb9f21888cb498 | [
"Apache-2.0"
] | null | null | null | packaging/setup/plugins/ovirt-engine-setup/all-in-one/super_user.py | SunOfShine/ovirt-engine | 7684597e2d38ff854e629e5cbcbb9f21888cb498 | [
"Apache-2.0"
] | null | null | null | #
# ovirt-engine-setup -- ovirt engine setup
# Copyright (C) 2013 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless r... | 28.775701 | 76 | 0.616759 | 2,116 | 0.687236 | 0 | 0 | 2,129 | 0.691458 | 0 | 0 | 876 | 0.284508 |
b2666be5a27dd8e787680368717223bfc00f077e | 4,296 | py | Python | deploy/deploy.py | ColdStack-Network/blockchain | 3852f888e9d184a4fbc71365514a55dd9c510adb | [
"Unlicense"
] | null | null | null | deploy/deploy.py | ColdStack-Network/blockchain | 3852f888e9d184a4fbc71365514a55dd9c510adb | [
"Unlicense"
] | null | null | null | deploy/deploy.py | ColdStack-Network/blockchain | 3852f888e9d184a4fbc71365514a55dd9c510adb | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
import argparse
import subprocess
import json
parser = argparse.ArgumentParser(description='Deploy blockchain')
parser.add_argument('--validator-node',
help='validator node ssh address. First node becomes boot node and active validator.',
nargs='+'
)
parser.add_argument('--api-node', help... | 28.078431 | 100 | 0.657588 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,312 | 0.538175 |
b267e740ceab58f8898f41e8edaa0a8a6747e59b | 6,299 | py | Python | 4_neural_networks.py | scientificprogrammer123/Udacity_Machine-Learning | e6f5a73724ac51c9dcc9c28ee1652991982598ca | [
"MIT"
] | null | null | null | 4_neural_networks.py | scientificprogrammer123/Udacity_Machine-Learning | e6f5a73724ac51c9dcc9c28ee1652991982598ca | [
"MIT"
] | null | null | null | 4_neural_networks.py | scientificprogrammer123/Udacity_Machine-Learning | e6f5a73724ac51c9dcc9c28ee1652991982598ca | [
"MIT"
] | 1 | 2021-04-14T22:04:52.000Z | 2021-04-14T22:04:52.000Z | # lesson 1: neural networks
# cell body, neuron, axon, synapse
# spike trains travel down the axon, and causes excitation to occur at other axons.
# a computation unit.
#
# x1 -> w1 ->
# x2 -> w2 -> theta -> y
# x3 -> w3 ->
#
# sum_{=1}^{k} xi*wi, activation
# >=theta, firing threshold
#
# For percept... | 29.712264 | 111 | 0.62883 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6,072 | 0.963963 |
b26837a3549f4fc5b6bc64ba12abe7c4d44f56e0 | 267 | py | Python | gitprivacy/dateredacter/__init__.py | fapdash/git-privacy | 357a2952d8feb9e193373e18284e57a26d14b96c | [
"BSD-2-Clause"
] | 7 | 2019-10-15T08:30:02.000Z | 2021-12-26T20:37:18.000Z | gitprivacy/dateredacter/__init__.py | fapdash/git-privacy | 357a2952d8feb9e193373e18284e57a26d14b96c | [
"BSD-2-Clause"
] | 30 | 2019-04-22T15:08:34.000Z | 2022-02-16T20:39:28.000Z | gitprivacy/dateredacter/__init__.py | cburkert/pyGitPrivacy | d522e62f85446e7554f6b66b5287f9c3a6aa33c2 | [
"BSD-2-Clause"
] | 2 | 2021-06-22T18:17:01.000Z | 2021-12-21T09:48:33.000Z | import abc
from datetime import datetime
class DateRedacter(abc.ABC):
"""Abstract timestamp redater."""
@abc.abstractmethod
def redact(self, timestamp: datetime) -> datetime:
"""Redact timestamp."""
from .reduce import ResolutionDateRedacter
| 19.071429 | 54 | 0.71161 | 178 | 0.666667 | 0 | 0 | 106 | 0.397004 | 0 | 0 | 56 | 0.209738 |
b26aa848ad9a71009d6da1cdab45cb44abfe1110 | 2,178 | py | Python | functions/cm_plotter.py | evanmy/keymorph | 5b57d86047ca13c73f494e21fdf271f261912f84 | [
"MIT"
] | null | null | null | functions/cm_plotter.py | evanmy/keymorph | 5b57d86047ca13c73f494e21fdf271f261912f84 | [
"MIT"
] | null | null | null | functions/cm_plotter.py | evanmy/keymorph | 5b57d86047ca13c73f494e21fdf271f261912f84 | [
"MIT"
] | null | null | null | import torch
from skimage.filters import gaussian
def blur_cm_plot(Cm_plot, sigma):
"""
Blur the keypoints/center-of-masses for better visualiztion
Arguments
---------
Cm_plot : tensor with the center-of-masses
sigma : how much to blur
Return
------
out : blurred points... | 26.888889 | 82 | 0.5427 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 574 | 0.263545 |
b26afc8ce026caaf2cd97fb955bcaaad804230cc | 3,790 | py | Python | examples/cooperative_work_examples.py | hfs/maproulette-python-client | 0a3e4b68af7892700463c2afc66a1ae4dcbf0825 | [
"Apache-2.0"
] | null | null | null | examples/cooperative_work_examples.py | hfs/maproulette-python-client | 0a3e4b68af7892700463c2afc66a1ae4dcbf0825 | [
"Apache-2.0"
] | null | null | null | examples/cooperative_work_examples.py | hfs/maproulette-python-client | 0a3e4b68af7892700463c2afc66a1ae4dcbf0825 | [
"Apache-2.0"
] | null | null | null | import maproulette
import json
import base64
# Create a configuration object for MapRoulette using your API key:
config = maproulette.Configuration(api_key="API_KEY")
# Create an API objects with the above config object:
api = maproulette.Task(config)
# Setting a challenge ID in which we'll place our cooperative tas... | 50.533333 | 108 | 0.58628 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,327 | 0.350132 |
b26b274e30196d87e8ffb7a61d1cdb928d240314 | 1,101 | py | Python | src/biopsykit/sleep/sleep_wake_detection/algorithms/_base.py | Zwitscherle/BioPsyKit | 7200c5f1be75c20f53e1eb4c991aca1c89e3dd88 | [
"MIT"
] | 10 | 2020-11-05T13:34:55.000Z | 2022-03-11T16:20:10.000Z | src/biopsykit/sleep/sleep_wake_detection/algorithms/_base.py | Zwitscherle/BioPsyKit | 7200c5f1be75c20f53e1eb4c991aca1c89e3dd88 | [
"MIT"
] | 14 | 2021-03-11T14:43:52.000Z | 2022-03-10T19:44:57.000Z | src/biopsykit/sleep/sleep_wake_detection/algorithms/_base.py | Zwitscherle/BioPsyKit | 7200c5f1be75c20f53e1eb4c991aca1c89e3dd88 | [
"MIT"
] | 3 | 2021-09-13T13:14:38.000Z | 2022-02-19T09:13:25.000Z | """Module for sleep/wake detection base class."""
from biopsykit.utils._types import arr_t
from biopsykit.utils.datatype_helper import SleepWakeDataFrame
class _SleepWakeBase:
"""Base class for sleep/wake detection algorithms."""
def __init__(self, **kwargs):
pass
def fit(self, data: arr_t, **kw... | 29.756757 | 110 | 0.62852 | 944 | 0.857402 | 0 | 0 | 0 | 0 | 0 | 0 | 717 | 0.651226 |
b26b2d344b00d14f7c80d63267fca336b474dfed | 287 | py | Python | FluentPython/ch02/cartesian.py | eroicaleo/LearningPython | 297d46eddce6e43ce0c160d2660dff5f5d616800 | [
"MIT"
] | 1 | 2020-10-12T13:33:29.000Z | 2020-10-12T13:33:29.000Z | FluentPython/ch02/cartesian.py | eroicaleo/LearningPython | 297d46eddce6e43ce0c160d2660dff5f5d616800 | [
"MIT"
] | null | null | null | FluentPython/ch02/cartesian.py | eroicaleo/LearningPython | 297d46eddce6e43ce0c160d2660dff5f5d616800 | [
"MIT"
] | 1 | 2016-11-09T07:28:45.000Z | 2016-11-09T07:28:45.000Z | #!/usr/bin/env python
colors = ['white', 'black']
sizes = ['S', 'M', 'L']
tshirts = [(color, size) for size in sizes
for color in colors ]
print(tshirts)
tshirts = [(color, size) for color in colors
for size in sizes ]
print(tshirts)
| 22.076923 | 46 | 0.54007 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0.15331 |
b26b3c9bc4d2fbf8cbbb44a23143622070070eef | 316 | py | Python | create.py | devanshsharma22/ONE | 27450ff2e9e07164527043a161274495ef3a1178 | [
"CC-BY-3.0"
] | null | null | null | create.py | devanshsharma22/ONE | 27450ff2e9e07164527043a161274495ef3a1178 | [
"CC-BY-3.0"
] | null | null | null | create.py | devanshsharma22/ONE | 27450ff2e9e07164527043a161274495ef3a1178 | [
"CC-BY-3.0"
] | null | null | null | from flask import Flask
from models import *
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = os.environ.get('DATABASE_URL')
app.config['SQLALCHEMY_TRACK_MODIFICATIONS']=False
db.init_app(app)
def main():
db.create_all()
if __name__ == "__main__":
with app.app_context():
main()
| 15.8 | 70 | 0.708861 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 81 | 0.256329 |
b26beef2d3bbff1212787d1023080b96af3af78b | 1,160 | py | Python | jmetex/main.py | innovocloud/jmetex | 5e7c4d9695174fe2f5c3186b8bbb41857e9715df | [
"Apache-2.0"
] | 2 | 2018-02-19T14:21:31.000Z | 2018-03-15T03:16:05.000Z | jmetex/main.py | innovocloud/jmetex | 5e7c4d9695174fe2f5c3186b8bbb41857e9715df | [
"Apache-2.0"
] | null | null | null | jmetex/main.py | innovocloud/jmetex | 5e7c4d9695174fe2f5c3186b8bbb41857e9715df | [
"Apache-2.0"
] | null | null | null | import sys
import time
import argparse
from prometheus_client import start_http_server, Metric, REGISTRY, Summary
from .interfacecollector import InterfaceCollector
from .opticalcollector import OpticalCollector
def main():
parser = argparse.ArgumentParser(description='JunOS API to Prometheus exporter')
parse... | 40 | 96 | 0.675862 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 177 | 0.152586 |
b26ccd47df1988e1e17fa1b203b55759ef55fe03 | 472 | py | Python | vispp/io.py | c-cameron/vispp | a985c0fd5a7add968968ec025da17ad0c5ab0f73 | [
"BSD-3-Clause"
] | null | null | null | vispp/io.py | c-cameron/vispp | a985c0fd5a7add968968ec025da17ad0c5ab0f73 | [
"BSD-3-Clause"
] | null | null | null | vispp/io.py | c-cameron/vispp | a985c0fd5a7add968968ec025da17ad0c5ab0f73 | [
"BSD-3-Clause"
] | null | null | null | from matplotlib.backends.backend_pdf import PdfPages
def better_savefig(fig, figfile, format="pdf", **kwargs):
"""To be used instead of .savefig
This function saves pdfs without creation date. So subsequent
overwrites of pdf files does not cause e.g. git modified.
"""
if format == "pdf":
... | 31.466667 | 71 | 0.667373 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 194 | 0.411017 |
b26de06366dede83defa5d174c6610df50dcc9a0 | 1,133 | py | Python | mappings.py | timeseries-ru/EL | 2528fe50b92efd0b28611ddd9b531d085a12d0df | [
"MIT"
] | null | null | null | mappings.py | timeseries-ru/EL | 2528fe50b92efd0b28611ddd9b531d085a12d0df | [
"MIT"
] | null | null | null | mappings.py | timeseries-ru/EL | 2528fe50b92efd0b28611ddd9b531d085a12d0df | [
"MIT"
] | null | null | null | import sklearn.decomposition as decomposition
import sklearn.preprocessing as preprocessing
import sklearn.linear_model as linear_model
import sklearn.ensemble as ensemble
import sklearn.cluster as cluster
import sklearn.neighbors as neighbors
import sklearn.neural_network as neural_network
class Mapper:
mappings ... | 40.464286 | 77 | 0.752868 | 839 | 0.740512 | 0 | 0 | 0 | 0 | 0 | 0 | 204 | 0.180053 |
b26eb6867abd481f8fa7df4a751d92de7df14d0f | 231 | py | Python | Find_the_Runner_Up_Score_.py | KrShivanshu/264136_Python_Daily | 8caeae12a495509675544b957af3ffbaa50e6ed2 | [
"CC0-1.0"
] | null | null | null | Find_the_Runner_Up_Score_.py | KrShivanshu/264136_Python_Daily | 8caeae12a495509675544b957af3ffbaa50e6ed2 | [
"CC0-1.0"
] | null | null | null | Find_the_Runner_Up_Score_.py | KrShivanshu/264136_Python_Daily | 8caeae12a495509675544b957af3ffbaa50e6ed2 | [
"CC0-1.0"
] | null | null | null | if __name__ == '__main__':
n = int(input())
arr = map(int, input().split())
max = -9999999
max2 = -9999999
for i in arr:
if(i>max):
max2=max
max=i
elif i>max2 and max>i:
max2=i
print(max2) | 16.5 | 35 | 0.532468 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0.04329 |
b26fb5509497d72210ea4f3275edb63a6b2bc440 | 85 | py | Python | tests/__init__.py | doublechiang/qsmcmd | 63e31390de020472c6ff4284cbe2d2c5147cb13d | [
"MIT"
] | 1 | 2021-05-07T09:57:01.000Z | 2021-05-07T09:57:01.000Z | tests/__init__.py | doublechiang/qsmcmd | 63e31390de020472c6ff4284cbe2d2c5147cb13d | [
"MIT"
] | 30 | 2017-08-24T21:21:03.000Z | 2021-01-21T19:32:36.000Z | tests/__init__.py | doublechiang/qsmcmd | 63e31390de020472c6ff4284cbe2d2c5147cb13d | [
"MIT"
] | null | null | null | import os, sys
sys.path.insert(0, os.path.join(os.path.dirname(__file__),'../src'))
| 21.25 | 68 | 0.694118 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0.094118 |
b26fea559278660731c5b3eb16d98ce810c85f89 | 7,669 | py | Python | mindspore/python/mindspore/rewrite/namer.py | httpsgithu/mindspore | c29d6bb764e233b427319cb89ba79e420f1e2c64 | [
"Apache-2.0"
] | 1 | 2022-02-23T09:13:43.000Z | 2022-02-23T09:13:43.000Z | mindspore/python/mindspore/rewrite/namer.py | 949144093/mindspore | c29d6bb764e233b427319cb89ba79e420f1e2c64 | [
"Apache-2.0"
] | null | null | null | mindspore/python/mindspore/rewrite/namer.py | 949144093/mindspore | c29d6bb764e233b427319cb89ba79e420f1e2c64 | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 Huawei Technologies Co., Ltd
#
# 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... | 36.519048 | 120 | 0.604903 | 6,834 | 0.89112 | 0 | 0 | 1,470 | 0.191681 | 0 | 0 | 4,421 | 0.576477 |
b270dcf5ee3dfde551682fd9a8c7f93e84cb34a6 | 3,391 | py | Python | tests/test_autopilot.py | aidanmelen/bobcat_miner | 5ce85e17e93332a126db0a196c29b01433dc90d4 | [
"Apache-2.0"
] | 6 | 2022-01-06T05:50:14.000Z | 2022-03-25T09:41:34.000Z | tests/test_autopilot.py | aidanmelen/bobcat_miner | 5ce85e17e93332a126db0a196c29b01433dc90d4 | [
"Apache-2.0"
] | 9 | 2022-01-19T03:16:33.000Z | 2022-02-20T20:37:56.000Z | tests/test_autopilot.py | aidanmelen/bobcat_miner | 5ce85e17e93332a126db0a196c29b01433dc90d4 | [
"Apache-2.0"
] | 3 | 2022-01-06T05:50:00.000Z | 2022-02-15T16:24:58.000Z | from unittest.mock import patch, call, PropertyMock, AsyncMock, MagicMock, mock_open
import unittest
from bobcat_miner import BobcatAutopilot, Bobcat, OnlineStatusCheck
import mock_endpoints
class TestAutopilot(unittest.TestCase):
"""Test BobcatAutopilot."""
@patch("bobcat_miner.BobcatAutopilot.error_chec... | 37.677778 | 100 | 0.604247 | 3,174 | 0.92807 | 0 | 0 | 3,091 | 0.903801 | 0 | 0 | 1,157 | 0.338304 |
b271a810a148e7642fe7f668a6757b9d19a1951c | 5,687 | py | Python | fig/project.py | kazoup/fig | d34dc45b783f830ed64988c3c8ffb3d4f550d059 | [
"BSD-3-Clause"
] | null | null | null | fig/project.py | kazoup/fig | d34dc45b783f830ed64988c3c8ffb3d4f550d059 | [
"BSD-3-Clause"
] | null | null | null | fig/project.py | kazoup/fig | d34dc45b783f830ed64988c3c8ffb3d4f550d059 | [
"BSD-3-Clause"
] | 1 | 2019-12-11T01:08:39.000Z | 2019-12-11T01:08:39.000Z | from __future__ import unicode_literals
from __future__ import absolute_import
import logging
from .service import Service
log = logging.getLogger(__name__)
def sort_service_dicts(services):
# Topological sort (Cormen/Tarjan algorithm).
unmarked = services[:]
temporary_marked = set()
sorted_services ... | 34.053892 | 183 | 0.604713 | 4,511 | 0.793213 | 0 | 0 | 1,599 | 0.281168 | 0 | 0 | 1,051 | 0.184807 |
b2743a4c76c53ef106ccb49cbbfbe8057b1bd708 | 2,136 | py | Python | input/utils/chi-squared-contingency-tests.py | g-p-m/GPM | 00aa3ea664e14b99eedd6cbeabbc2b85edf2b208 | [
"BSD-3-Clause"
] | null | null | null | input/utils/chi-squared-contingency-tests.py | g-p-m/GPM | 00aa3ea664e14b99eedd6cbeabbc2b85edf2b208 | [
"BSD-3-Clause"
] | null | null | null | input/utils/chi-squared-contingency-tests.py | g-p-m/GPM | 00aa3ea664e14b99eedd6cbeabbc2b85edf2b208 | [
"BSD-3-Clause"
] | null | null | null | import numpy, scipy.stats
T1 = numpy.asarray([
[ 316, 378, 393, 355, 391, 371, 400, 397, 385, 371, 382, 371, ],
[ 336, 339, 322, 341, 314, 311, 339, 310, 331, 355, 316, 306, ],
[ 375, 364, 375, 381, 381, 401, 374, 396, 422, 417, 372, 435, ],
[ 238, 231, 263, 268, 239, 259, 243, 206, 257, 228, 252, 203, ]])
T2 = numpy.... | 46.434783 | 65 | 0.558521 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.008895 |
b2760534184d4098001909eaf620372388d8db5f | 4,916 | py | Python | inference_speed.py | guillesanbri/DPT | d65d1e4adade95bb6265c28ab29e009028b3f9a8 | [
"MIT"
] | null | null | null | inference_speed.py | guillesanbri/DPT | d65d1e4adade95bb6265c28ab29e009028b3f9a8 | [
"MIT"
] | null | null | null | inference_speed.py | guillesanbri/DPT | d65d1e4adade95bb6265c28ab29e009028b3f9a8 | [
"MIT"
] | null | null | null | import os
import wandb
import torch
import warnings
import numpy as np
import torchvision.transforms
from fvcore.nn import FlopCountAnalysis
from dpt.models import DPTDepthModel
def get_flops(model, x, unit="G", quiet=True):
_prefix = {'k': 1e3, # kilo
'M': 1e6, # mega
'G': 1e9, ... | 35.114286 | 119 | 0.605574 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,169 | 0.237795 |
b2768c03376cae3fece006df9dcfa990067b957c | 5,122 | py | Python | cybox/common/tools.py | siemens/python-cybox | b692a98c8a62bd696e2a0dda802ada7359853482 | [
"BSD-3-Clause"
] | null | null | null | cybox/common/tools.py | siemens/python-cybox | b692a98c8a62bd696e2a0dda802ada7359853482 | [
"BSD-3-Clause"
] | null | null | null | cybox/common/tools.py | siemens/python-cybox | b692a98c8a62bd696e2a0dda802ada7359853482 | [
"BSD-3-Clause"
] | 1 | 2019-04-16T18:37:32.000Z | 2019-04-16T18:37:32.000Z | # Copyright (c) 2014, The MITRE Corporation. All rights reserved.
# See LICENSE.txt for complete terms.
import cybox
import cybox.bindings.cybox_common as common_binding
from cybox.common import HashList, StructuredText, VocabString
class ToolType(VocabString):
_XSI_TYPE = 'cyboxVocabs:ToolTypeVocab-1.1'
class... | 33.25974 | 89 | 0.650527 | 4,879 | 0.952558 | 0 | 0 | 1,751 | 0.341859 | 0 | 0 | 566 | 0.110504 |
b2769b5ec360ec5dc6f9171e3632b3ef3f3dc0c8 | 570 | py | Python | python/ray/rllib/models/tf/tf_modelv2.py | alex-petrenko/ray | dfc94ce7bcd5d9d008822efdeec17c3f6bb9c606 | [
"Apache-2.0"
] | 1 | 2020-09-27T08:48:11.000Z | 2020-09-27T08:48:11.000Z | python/ray/rllib/models/tf/tf_modelv2.py | JunpingDu/ray | 214f09d969480279930994cabbcc2a75535cc6ca | [
"Apache-2.0"
] | 4 | 2019-03-04T13:03:24.000Z | 2019-06-06T11:25:07.000Z | python/ray/rllib/models/tf/tf_modelv2.py | JunpingDu/ray | 214f09d969480279930994cabbcc2a75535cc6ca | [
"Apache-2.0"
] | 1 | 2020-04-30T09:06:20.000Z | 2020-04-30T09:06:20.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from ray.rllib.models.modelv2 import ModelV2
from ray.rllib.utils import try_import_tf
tf = try_import_tf()
class TFModelV2(ModelV2):
"""TF version of ModelV2."""
def __init__(self, obs_space, actio... | 23.75 | 74 | 0.642105 | 348 | 0.610526 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 0.05614 |
b27869ddfe009d8e2d025f4f2f3d4a1de697cced | 1,401 | py | Python | EventManager/Home/models.py | 201901407/woc3.0-eventmanager-DarshilParikh | 8174cd5373e3f3e4723a9fd6381266a56dddc4e6 | [
"MIT"
] | 1 | 2021-01-03T13:57:38.000Z | 2021-01-03T13:57:38.000Z | EventManager/Home/models.py | 201901407/woc3.0-eventmanager-DarshilParikh | 8174cd5373e3f3e4723a9fd6381266a56dddc4e6 | [
"MIT"
] | null | null | null | EventManager/Home/models.py | 201901407/woc3.0-eventmanager-DarshilParikh | 8174cd5373e3f3e4723a9fd6381266a56dddc4e6 | [
"MIT"
] | null | null | null | from django.db import models
import uuid, datetime
from django.utils import timezone
# Create your models here.
class User(models.Model):
user_id = models.CharField(max_length=100,default=uuid.uuid4)
email = models.EmailField(max_length=100)
name = models.CharField(max_length=100)
password = models.Ch... | 35.025 | 97 | 0.751606 | 1,273 | 0.908637 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0.019986 |
b278da741753c0353d746ae92b8910102ad49380 | 2,450 | py | Python | zulip_bots/zulip_bots/terminal.py | maanuanubhav999/python-zulip-api | abebf28077b31d6b3a7183044c6493230d890d91 | [
"Apache-2.0"
] | 1 | 2020-07-09T17:23:15.000Z | 2020-07-09T17:23:15.000Z | zulip_bots/zulip_bots/terminal.py | maanuanubhav999/python-zulip-api | abebf28077b31d6b3a7183044c6493230d890d91 | [
"Apache-2.0"
] | null | null | null | zulip_bots/zulip_bots/terminal.py | maanuanubhav999/python-zulip-api | abebf28077b31d6b3a7183044c6493230d890d91 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import os
import sys
import argparse
from zulip_bots.finder import import_module_from_source, resolve_bot_path
from zulip_bots.simple_lib import TerminalBotHandler
current_dir = os.path.dirname(os.path.abspath(__file__))
def parse_args():
description = '''
This tool allows you to t... | 31.410256 | 106 | 0.624082 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 633 | 0.258367 |
b27948c3537469faf68e7dba6797c0ed2aa2c1dd | 3,606 | py | Python | tesHistMatch.py | cliffeby/Duckpin2 | 9b1b0891e898625373409f7b4b7d4e058184c45e | [
"MIT"
] | null | null | null | tesHistMatch.py | cliffeby/Duckpin2 | 9b1b0891e898625373409f7b4b7d4e058184c45e | [
"MIT"
] | 1 | 2018-04-23T21:35:32.000Z | 2018-10-04T03:15:00.000Z | tesHistMatch.py | cliffeby/Duckpin2 | 9b1b0891e898625373409f7b4b7d4e058184c45e | [
"MIT"
] | null | null | null | # import the necessary packages
import io
import time
import cropdata1024, cropdata1440
import numpy as np
import threading
import cv2
mask_crop_ranges = cropdata1440.ballCrops
crop_ranges = cropdata1024.pin_crop_ranges
arm_crop_ranges = cropdata1440.resetArmCrops
scrop_ranges = cropdata1024.special_crop_ranges
x=y=x1... | 33.700935 | 136 | 0.567942 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 847 | 0.234886 |
b27a7998ddf212b0241aa835db7ce95126acc646 | 2,929 | py | Python | authlib/integrations/flask_client/remote_app.py | bobh66/authlib | e3e18da74d689b61a8dc8db46775ff77a57c6c2a | [
"BSD-3-Clause"
] | 1 | 2021-12-09T07:11:05.000Z | 2021-12-09T07:11:05.000Z | authlib/integrations/flask_client/remote_app.py | bobh66/authlib | e3e18da74d689b61a8dc8db46775ff77a57c6c2a | [
"BSD-3-Clause"
] | null | null | null | authlib/integrations/flask_client/remote_app.py | bobh66/authlib | e3e18da74d689b61a8dc8db46775ff77a57c6c2a | [
"BSD-3-Clause"
] | 2 | 2021-05-24T20:34:12.000Z | 2022-03-26T07:46:17.000Z | from flask import redirect
from flask import request as flask_req
from flask import _app_ctx_stack
from ..base_client import RemoteApp
class FlaskRemoteApp(RemoteApp):
"""Flask integrated RemoteApp of :class:`~authlib.client.OAuthClient`.
It has built-in hooks for OAuthClient. The only required configuration
... | 35.719512 | 84 | 0.665073 | 2,791 | 0.952885 | 0 | 0 | 497 | 0.169682 | 0 | 0 | 561 | 0.191533 |
b27a85f2428bee55c3eb4af112108417cb5d5e83 | 2,552 | py | Python | models/cnn_stft.py | gumpy-hybridBCI/GUMPY- | 12a679626836c0be0063dd4012380ec2fa0245cb | [
"MIT"
] | 27 | 2018-02-20T14:17:42.000Z | 2021-04-16T02:36:40.000Z | models/cnn_stft.py | gumpy-hybridBCI/GUMPY- | 12a679626836c0be0063dd4012380ec2fa0245cb | [
"MIT"
] | 3 | 2019-02-22T12:18:40.000Z | 2021-06-13T17:09:08.000Z | models/cnn_stft.py | gumpy-hybridBCI/GUMPY- | 12a679626836c0be0063dd4012380ec2fa0245cb | [
"MIT"
] | 15 | 2018-03-19T20:04:50.000Z | 2022-02-24T10:12:06.000Z | from .model import KerasModel
import keras
from keras.models import Sequential
from keras.layers import Dense, Activation, Flatten
from keras.layers import BatchNormalization, Dropout, Conv2D, MaxPooling2D
import kapre
from kapre.utils import Normalization2D
from kapre.time_frequency import Spectrogram
class CNN_STF... | 37.529412 | 87 | 0.575627 | 2,244 | 0.87931 | 0 | 0 | 0 | 0 | 0 | 0 | 392 | 0.153605 |
b27aa21ef3977e3a19e7a6820a49fc999d5453c5 | 1,347 | py | Python | test/test_http.py | tylerlong/ringcentral-python | 518a6b2b493360a40f2ee0eaa8ae3f12e01d4f52 | [
"MIT"
] | 3 | 2017-01-26T01:58:50.000Z | 2018-12-26T09:06:21.000Z | test/test_http.py | tylerlong/ringcentral-python | 518a6b2b493360a40f2ee0eaa8ae3f12e01d4f52 | [
"MIT"
] | 3 | 2017-03-25T21:50:04.000Z | 2018-09-05T23:35:26.000Z | test/test_http.py | tylerlong/ringcentral-python | 518a6b2b493360a40f2ee0eaa8ae3f12e01d4f52 | [
"MIT"
] | 1 | 2017-02-14T22:27:16.000Z | 2017-02-14T22:27:16.000Z | from .test_base import BaseTestCase
class HttpTestCase(BaseTestCase):
def test_get(self):
r = self.rc.get('/restapi/v1.0/account/~/extension/~')
self.assertEqual(200, r.status_code)
def test_post(self):
r = self.rc.post('/restapi/v1.0/account/~/extension/~/sms', {
'to': [{'... | 43.451613 | 144 | 0.589458 | 1,309 | 0.971789 | 0 | 0 | 0 | 0 | 0 | 0 | 471 | 0.349666 |
b27aa7dc89425beb1b8dd2de335e508e06185c2e | 6,685 | py | Python | src/scaffold/models/abstract/meta.py | Su-yj/django-scaffold-tools | db97b1feece8cc57131e3a14b292857204e8e574 | [
"Apache-2.0"
] | 2 | 2021-02-25T17:52:03.000Z | 2021-05-25T23:49:40.000Z | src/scaffold/models/abstract/meta.py | Su-yj/django-scaffold-tools | db97b1feece8cc57131e3a14b292857204e8e574 | [
"Apache-2.0"
] | null | null | null | src/scaffold/models/abstract/meta.py | Su-yj/django-scaffold-tools | db97b1feece8cc57131e3a14b292857204e8e574 | [
"Apache-2.0"
] | 1 | 2022-03-24T09:40:57.000Z | 2022-03-24T09:40:57.000Z | from datetime import datetime
from django.contrib.auth.models import User
from django.core.exceptions import ValidationError
from django.db import models
from scaffold.exceptions.exceptions import AppError
# def patch_methods(model_class):
# def do_patch(cls):
# for k in cls.__dict__:
# obj ... | 21.495177 | 74 | 0.57472 | 7,148 | 0.934257 | 0 | 0 | 102 | 0.013332 | 0 | 0 | 2,316 | 0.302706 |
b27aafce477f2a5f5a7f14f7e8edc439ed8f615c | 3,740 | py | Python | tests/unit/client/resources/box/test_box.py | etingof/softboxen | 2a7ba85669d563de9824e3962bd48a0849482e3f | [
"BSD-2-Clause"
] | 2 | 2020-02-08T20:43:35.000Z | 2020-06-24T18:46:59.000Z | tests/unit/client/resources/box/test_box.py | etingof/softboxen | 2a7ba85669d563de9824e3962bd48a0849482e3f | [
"BSD-2-Clause"
] | 2 | 2020-03-07T08:07:17.000Z | 2021-09-15T21:12:12.000Z | tests/unit/client/resources/box/test_box.py | etingof/softboxen | 2a7ba85669d563de9824e3962bd48a0849482e3f | [
"BSD-2-Clause"
] | 1 | 2020-05-04T06:10:45.000Z | 2020-05-04T06:10:45.000Z | #
# This file is part of softboxen software.
#
# Copyright (c) 2020, Ilya Etingof <[email protected]>
# License: https://github.com/etingof/softboxen/LICENSE.rst
#
import json
import sys
import unittest
from unittest import mock
from softboxen.client.resources.box import box
from softboxen.client.resources.box import... | 31.428571 | 79 | 0.674866 | 3,197 | 0.854813 | 0 | 0 | 555 | 0.148396 | 0 | 0 | 652 | 0.174332 |
b27af965481a6eface77ab77feda170f704b5500 | 543 | py | Python | photoseleven/db.py | photoseleven/photoseleven-backend | 2e511d5e48477b6b41a6d98f0630b1bcada8a298 | [
"MIT"
] | null | null | null | photoseleven/db.py | photoseleven/photoseleven-backend | 2e511d5e48477b6b41a6d98f0630b1bcada8a298 | [
"MIT"
] | null | null | null | photoseleven/db.py | photoseleven/photoseleven-backend | 2e511d5e48477b6b41a6d98f0630b1bcada8a298 | [
"MIT"
] | 1 | 2020-03-29T11:20:40.000Z | 2020-03-29T11:20:40.000Z | import click
from flask import current_app, g
from flask.cli import with_appcontext
from flask_pymongo import PyMongo
from werkzeug.security import check_password_hash, generate_password_hash
def get_db():
if 'db' not in g:
mongo = PyMongo(current_app)
g.db = mongo.db
g.db_client = mongo.c... | 19.392857 | 73 | 0.692449 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0.034991 |
b27c6063523b17b12c8d4769a34a8058b47c5491 | 366 | py | Python | DataStructures/Stacks/Stack.py | hhimmmmii/Data_Structures_and_Algorithms | 21169d21172fd1242cbb998324a6953b0c32cd05 | [
"MIT"
] | null | null | null | DataStructures/Stacks/Stack.py | hhimmmmii/Data_Structures_and_Algorithms | 21169d21172fd1242cbb998324a6953b0c32cd05 | [
"MIT"
] | 2 | 2020-10-05T05:23:40.000Z | 2020-10-15T17:34:32.000Z | DataStructures/Stacks/Stack.py | hhimmmmii/Data_Structures_and_Algorithms | 21169d21172fd1242cbb998324a6953b0c32cd05 | [
"MIT"
] | 10 | 2020-10-03T06:31:41.000Z | 2020-12-28T18:54:40.000Z | class Stack:
def __init__(self):
self.stack = []
def add(self, dataval):
# Use list append method to add element
if dataval not in self.stack:
self.stack.append(dataval)
return True
else:
return False
# Use peek to look at the top of the stack
d... | 22.875 | 42 | 0.57377 | 366 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 81 | 0.221311 |
b27e012ad9d98a21878536e044d958f15626c65e | 4,354 | py | Python | c1_tools/c1_Preferences.py | jacobmartinez3d/c1_tools | e317d52e91a375c6ac1b6914a74787056118484e | [
"MIT"
] | null | null | null | c1_tools/c1_Preferences.py | jacobmartinez3d/c1_tools | e317d52e91a375c6ac1b6914a74787056118484e | [
"MIT"
] | null | null | null | c1_tools/c1_Preferences.py | jacobmartinez3d/c1_tools | e317d52e91a375c6ac1b6914a74787056118484e | [
"MIT"
] | null | null | null | # preferences panel to allow inputting cutom parameters for the structure of a project and its
# naming conventions.
# --------------------------------------------------------------------------------------------------
import hashlib
import nuke
from nukescripts.panels import PythonPanel
import fileinput
import os
impor... | 37.213675 | 120 | 0.579927 | 4,010 | 0.920992 | 0 | 0 | 0 | 0 | 0 | 0 | 1,123 | 0.257924 |
b27e60d49c438918ac9f9898312b3fc091fc3cf6 | 35,738 | py | Python | src/proto/runtime_pb2_grpc.py | layotto/python-sdk | dac5833ebbfe16d6e5b6322041ca65431096f14b | [
"Apache-2.0"
] | null | null | null | src/proto/runtime_pb2_grpc.py | layotto/python-sdk | dac5833ebbfe16d6e5b6322041ca65431096f14b | [
"Apache-2.0"
] | 1 | 2022-02-23T14:37:01.000Z | 2022-02-23T14:37:01.000Z | src/proto/runtime_pb2_grpc.py | layotto/python-sdk | dac5833ebbfe16d6e5b6322041ca65431096f14b | [
"Apache-2.0"
] | null | null | null | # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc
from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2
import runtime_pb2 as runtime__pb2
class RuntimeStub(object):
"""Missing associ... | 45.352792 | 129 | 0.651603 | 28,470 | 0.796631 | 0 | 0 | 14,716 | 0.411775 | 0 | 0 | 5,401 | 0.151128 |
b27fdc318377fdd21756f01199453a4713d91df6 | 1,794 | py | Python | forecast_box/validate.py | kyleclo/forecast-box | 5b965f0c7f45c92e800c31df1c7a12a6d08527b1 | [
"Apache-2.0"
] | 1 | 2017-02-08T19:34:35.000Z | 2017-02-08T19:34:35.000Z | forecast_box/validate.py | kyleclo/forecast-box | 5b965f0c7f45c92e800c31df1c7a12a6d08527b1 | [
"Apache-2.0"
] | null | null | null | forecast_box/validate.py | kyleclo/forecast-box | 5b965f0c7f45c92e800c31df1c7a12a6d08527b1 | [
"Apache-2.0"
] | null | null | null | """
Validation
"""
import numpy as np
import pandas as pd
from model import Model
# TODO: different versions with resampling or subsampling
# TODO: return DataFrame of forecasted_values along with metric?
def validate_model(name, params, time_series, metric_fun):
"""Evaluates performance of Model forecast met... | 36.612245 | 79 | 0.696767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,026 | 0.571906 |
b280b873fa11a9c22244c5a88ce9b4b92bf52fa9 | 338 | py | Python | config/api_router.py | summerthe/django_api_starter | 8f6c83fccc3a138a636850f7d23d9aac72e06f8f | [
"MIT"
] | null | null | null | config/api_router.py | summerthe/django_api_starter | 8f6c83fccc3a138a636850f7d23d9aac72e06f8f | [
"MIT"
] | null | null | null | config/api_router.py | summerthe/django_api_starter | 8f6c83fccc3a138a636850f7d23d9aac72e06f8f | [
"MIT"
] | null | null | null | from django.conf import settings
from django.urls.conf import include, path
from rest_framework.routers import DefaultRouter, SimpleRouter
if settings.DEBUG:
router = DefaultRouter()
else:
router = SimpleRouter()
app_name = "api"
urlpatterns = [
path("", include("summers_api.users.api.urls")),
]
urlpatter... | 22.533333 | 62 | 0.745562 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35 | 0.10355 |
b28150bc596dbcfe86da754ccfece409615ba261 | 339 | py | Python | backstack/__init__.py | pixlie/platform | 10782e9ddfb1dc2311e22987a16e9e77f3d71d34 | [
"MIT"
] | 2 | 2019-06-06T11:21:35.000Z | 2021-12-19T12:17:02.000Z | backstack/__init__.py | pixlie/backstack | 10782e9ddfb1dc2311e22987a16e9e77f3d71d34 | [
"MIT"
] | null | null | null | backstack/__init__.py | pixlie/backstack | 10782e9ddfb1dc2311e22987a16e9e77f3d71d34 | [
"MIT"
] | null | null | null | from .models import SystemModel, BaseModel
from .errors import ServerError, Errors
from .config import settings
from .db import db, Base
from .commands import Commands
name = "platform"
__all__ = [
"name",
"SystemModel",
"BaseModel",
"ServerError",
"Errors",
"settings",
"db",
"Base",... | 15.409091 | 42 | 0.646018 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 91 | 0.268437 |
b282134e67aa67a11713d58542eb8a80ec036fb7 | 1,571 | py | Python | samples/archive/stream/stream.py | zzzDavid/heterocl | 977aae575d54a30c5bf6d869e8f71bdc815cf7e9 | [
"Apache-2.0"
] | 236 | 2019-05-19T01:48:11.000Z | 2022-03-31T09:03:54.000Z | samples/archive/stream/stream.py | zzzDavid/heterocl | 977aae575d54a30c5bf6d869e8f71bdc815cf7e9 | [
"Apache-2.0"
] | 248 | 2019-05-17T19:18:36.000Z | 2022-03-30T21:25:47.000Z | samples/archive/stream/stream.py | AlgaPeng/heterocl-2 | b5197907d1fe07485466a63671a2a906a861c939 | [
"Apache-2.0"
] | 85 | 2019-05-17T20:09:27.000Z | 2022-02-28T20:19:00.000Z | import heterocl as hcl
hcl.init()
target = hcl.Platform.xilinx_zc706
initiation_interval = 4
a = hcl.placeholder((10, 20), name="a")
b = hcl.placeholder((10, 20), name="b")
c = hcl.placeholder((10, 20), name="c")
d = hcl.placeholder((10, 20), name="d")
e = hcl.placeholder((10, 20), name="e")
def add_mul(a, b, c, d,... | 26.627119 | 64 | 0.589433 | 0 | 0 | 0 | 0 | 461 | 0.293444 | 0 | 0 | 480 | 0.305538 |
b282a97791327fc19ad1bc909b5a0f67419da315 | 653 | py | Python | setup.py | eminaktas/k8s-workload-scaler | 388ebd9c472911c5dd783610d12ae314c1e4adad | [
"MIT"
] | 3 | 2021-06-11T08:33:19.000Z | 2022-03-01T23:32:35.000Z | setup.py | eminaktas/k8s-workload-scaler | 388ebd9c472911c5dd783610d12ae314c1e4adad | [
"MIT"
] | null | null | null | setup.py | eminaktas/k8s-workload-scaler | 388ebd9c472911c5dd783610d12ae314c1e4adad | [
"MIT"
] | null | null | null | import os
from setuptools import setup
here = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(here, 'README.md')) as readme_file:
README = readme_file.read()
setup(
name='k8s-workload-scaler',
version='0.0.2',
packages=['k8s_workload_scaler'],
url='github.com/eminaktas/k8s-workl... | 25.115385 | 58 | 0.653905 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 258 | 0.3951 |
b282c19b3cffcee686bcd47d1c51d22a934c3e90 | 329 | py | Python | results/kata_result.py | tamasmagyar/egyeni_vallalkozo_kalkulator | 5f892e9c14d073e6abcde174562406d439236d11 | [
"MIT"
] | null | null | null | results/kata_result.py | tamasmagyar/egyeni_vallalkozo_kalkulator | 5f892e9c14d073e6abcde174562406d439236d11 | [
"MIT"
] | null | null | null | results/kata_result.py | tamasmagyar/egyeni_vallalkozo_kalkulator | 5f892e9c14d073e6abcde174562406d439236d11 | [
"MIT"
] | null | null | null |
class KataResult:
def __init__(self, revenue, ipa, cost_of_kata, net_income, cost_of_goods, kata_penalty):
self.revenue = revenue
self.ipa = ipa
self.cost_of_kata = cost_of_kata
self.net_income = net_income
self.cost_of_goods = cost_of_goods
self.kata_penalty = kata... | 29.909091 | 92 | 0.683891 | 327 | 0.993921 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b2839dcc8ba1e2c6405ad07dce2a45037d7c2944 | 13,561 | py | Python | ros/dynamic_reconfigure/src/dynamic_reconfigure/client.py | numberen/apollo-platform | 8f359c8d00dd4a98f56ec2276c5663cb6c100e47 | [
"Apache-2.0"
] | 2 | 2018-12-11T16:35:20.000Z | 2019-01-23T16:42:17.000Z | opt/ros/kinetic/lib/python2.7/dist-packages/dynamic_reconfigure/client.py | Roboy/roboy_managing_node_fpga | 64ffe5aec2f2c98a051bb1a881849c195b8d052c | [
"BSD-3-Clause"
] | 1 | 2018-12-28T21:11:50.000Z | 2018-12-28T21:11:50.000Z | opt/ros/kinetic/lib/python2.7/dist-packages/dynamic_reconfigure/client.py | Roboy/roboy_managing_node_fpga | 64ffe5aec2f2c98a051bb1a881849c195b8d052c | [
"BSD-3-Clause"
] | 3 | 2018-01-29T12:22:56.000Z | 2020-12-08T09:08:46.000Z | # Software License Agreement (BSD License)
#
# Copyright (c) 2009, Willow Garage, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of source code must retain the above... | 39.080692 | 138 | 0.594794 | 11,155 | 0.822579 | 0 | 0 | 0 | 0 | 0 | 0 | 4,227 | 0.311703 |
b2842a9629f4ea0e56df84c21b6edd075792d02d | 7,803 | py | Python | l0bnb/relaxation/core.py | jonathan-taylor/l0bnb | 0c2beef67b92861ec51bc3514d485eabad43c611 | [
"MIT"
] | 25 | 2020-04-14T00:32:04.000Z | 2022-03-23T11:49:06.000Z | l0bnb/relaxation/core.py | jonathan-taylor/l0bnb | 0c2beef67b92861ec51bc3514d485eabad43c611 | [
"MIT"
] | 1 | 2021-10-12T16:37:04.000Z | 2021-10-12T16:37:04.000Z | l0bnb/relaxation/core.py | jonathan-taylor/l0bnb | 0c2beef67b92861ec51bc3514d485eabad43c611 | [
"MIT"
] | 9 | 2020-05-14T04:15:44.000Z | 2022-03-04T14:58:25.000Z | import copy
from time import time
from collections import namedtuple
import numpy as np
from numba.typed import List
from numba import njit
from ._coordinate_descent import cd_loop, cd
from ._cost import get_primal_cost, get_dual_cost
from ._utils import get_ratio_threshold, get_active_components
from . import GS_FLA... | 39.015 | 79 | 0.60387 | 0 | 0 | 0 | 0 | 1,532 | 0.196335 | 0 | 0 | 438 | 0.056132 |
b2842ba57b4666045fc4763a33435c2f652b5394 | 5,668 | py | Python | uroboros-diversification/src/diversification/bb_branchfunc_diversify.py | whj0401/RLOBF | 2755eb5e21e4f2445a7791a1159962e80a5739ca | [
"MIT"
] | 3 | 2020-12-11T06:15:17.000Z | 2021-04-24T07:09:03.000Z | uroboros-diversification/src/diversification/bb_branchfunc_diversify.py | whj0401/RLOBF | 2755eb5e21e4f2445a7791a1159962e80a5739ca | [
"MIT"
] | null | null | null | uroboros-diversification/src/diversification/bb_branchfunc_diversify.py | whj0401/RLOBF | 2755eb5e21e4f2445a7791a1159962e80a5739ca | [
"MIT"
] | 2 | 2021-03-10T17:46:33.000Z | 2021-03-31T08:00:27.000Z | from analysis.visit import *
from disasm.Types import *
from utils.ail_utils import *
from utils.pp_print import *
from junkcodes import get_junk_codes
obfs_proportion = 0.015
class bb_branchfunc_diversify(ailVisitor):
def __init__(self, funcs, fb_tbl, cfg_tbl):
ailVisitor.__init__(self)
self.fu... | 46.459016 | 128 | 0.534227 | 5,488 | 0.968243 | 0 | 0 | 0 | 0 | 0 | 0 | 1,014 | 0.178899 |