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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2c0300ca0658c1688971286bba3169afb2699074 | 1,911 | py | Python | controllers/task_handler.py | MuhammadWaleedUsman/PythonTornadoDockerTraefikMySql | 29d7a72c30a96f4eaf9174fdf29fd06fb48e7974 | [
"Apache-2.0"
] | null | null | null | controllers/task_handler.py | MuhammadWaleedUsman/PythonTornadoDockerTraefikMySql | 29d7a72c30a96f4eaf9174fdf29fd06fb48e7974 | [
"Apache-2.0"
] | null | null | null | controllers/task_handler.py | MuhammadWaleedUsman/PythonTornadoDockerTraefikMySql | 29d7a72c30a96f4eaf9174fdf29fd06fb48e7974 | [
"Apache-2.0"
] | null | null | null | from .db_handler import cursor
from tornado import concurrent
import tornado.web
executor = concurrent.futures.ThreadPoolExecutor(8)
| 29.4 | 80 | 0.55259 |
2c0432e1308cc8fe3207fb79660271c04e458a71 | 666 | py | Python | Python/WordBreak.py | Jspsun/LEETCodePractice | 9dba8c0441201a188b93e4d39a0a9b7602857a5f | [
"MIT"
] | 3 | 2017-10-14T19:49:28.000Z | 2019-01-12T21:51:11.000Z | Python/WordBreak.py | Jspsun/LEETCodePractice | 9dba8c0441201a188b93e4d39a0a9b7602857a5f | [
"MIT"
] | null | null | null | Python/WordBreak.py | Jspsun/LEETCodePractice | 9dba8c0441201a188b93e4d39a0a9b7602857a5f | [
"MIT"
] | 5 | 2017-02-06T19:10:23.000Z | 2020-12-19T01:58:10.000Z |
print Solution().wordBreak("leetcode", ["leet","code"])==True
print Solution().wordBreak("leetcode", ["wowwwww","caode"])==False
print Solution().wordBreak("aaaaaaa", ["aaaa","aa"])==False | 31.714286 | 66 | 0.478979 |
2c0648d5d20facaf4eda0597999791fd836d5caa | 9,523 | py | Python | apps/mixins/db_admin/datatables_client.py | Eudorajab1/websaw | 7c3a369789d23ac699868fa1eff6c63e3e5c1e36 | [
"MIT"
] | 1 | 2022-03-29T00:12:12.000Z | 2022-03-29T00:12:12.000Z | apps/mixins/db_admin/datatables_client.py | Eudorajab1/websaw | 7c3a369789d23ac699868fa1eff6c63e3e5c1e36 | [
"MIT"
] | null | null | null | apps/mixins/db_admin/datatables_client.py | Eudorajab1/websaw | 7c3a369789d23ac699868fa1eff6c63e3e5c1e36 | [
"MIT"
] | null | null | null | from websaw.core import Fixture
from yatl.helpers import INPUT, H1, A, DIV, SPAN, XML
from .datatables_utils import DtGui
mygui=DtGui()
from pprint import pprint
import json
# ################################################################
# Grid object (replaced SQLFORM.grid) using Datatables
# #####################... | 34.132616 | 165 | 0.491967 |
2c09a4a2e41ca60c7d6287eab58dfe9fe3c0167c | 680 | py | Python | gatewayconfig/bluetooth/descriptors/utf8_format_descriptor.py | AndriiIevdoshenko/hm-config | f513d72dd8c67c040310d78071d8ac2de418d0d6 | [
"MIT"
] | 7 | 2021-07-09T16:54:39.000Z | 2022-02-18T09:07:54.000Z | gatewayconfig/bluetooth/descriptors/utf8_format_descriptor.py | AndriiIevdoshenko/hm-config | f513d72dd8c67c040310d78071d8ac2de418d0d6 | [
"MIT"
] | 137 | 2021-02-05T21:53:35.000Z | 2022-03-31T23:31:54.000Z | gatewayconfig/bluetooth/descriptors/utf8_format_descriptor.py | AndriiIevdoshenko/hm-config | f513d72dd8c67c040310d78071d8ac2de418d0d6 | [
"MIT"
] | 16 | 2021-02-15T11:25:37.000Z | 2022-01-17T07:53:38.000Z | import dbus
from lib.cputemp.service import Descriptor
import gatewayconfig.constants as constants
| 27.2 | 68 | 0.638235 |
2c0a5da432ba3d41420010568b4150514d1d9b8a | 4,340 | py | Python | gurobiSolver.py | kursatbakis/cmpe492project | bb882ac3febada05824e407e7d573a08b4232ee8 | [
"MIT"
] | null | null | null | gurobiSolver.py | kursatbakis/cmpe492project | bb882ac3febada05824e407e7d573a08b4232ee8 | [
"MIT"
] | null | null | null | gurobiSolver.py | kursatbakis/cmpe492project | bb882ac3febada05824e407e7d573a08b4232ee8 | [
"MIT"
] | null | null | null | import gurobipy as gp
from gurobipy import GRB
from scheduler.utils import *
import csv
W = {}
days = ["MONDAY", "TUESDAY", "WEDNESDAY", "THURSDAY", "FRIDAY"]
departments = ["CMPE"]
| 42.135922 | 285 | 0.609677 |
2c0c6d4c1880f94e8964a089e665e4a8c770f8e9 | 616 | py | Python | app/app/models/task.py | gooocho/fastapi_todo | b88177e651f1c6984a636262a4d686935b67ed6f | [
"MIT"
] | null | null | null | app/app/models/task.py | gooocho/fastapi_todo | b88177e651f1c6984a636262a4d686935b67ed6f | [
"MIT"
] | null | null | null | app/app/models/task.py | gooocho/fastapi_todo | b88177e651f1c6984a636262a4d686935b67ed6f | [
"MIT"
] | null | null | null | from sqlalchemy import Column, Integer, String
from sqlalchemy.orm import relationship
from app.db.settings import Base
from app.models.assignment import ModelAssignment
| 26.782609 | 54 | 0.709416 |
2c0cc4e362937d93adf7ebfce043afa65bc46a05 | 1,777 | py | Python | ico_gateway/views.py | dacom-dark-sun/dacom-api | 7efd77bf75cd28771b4a466ff36310d12b634f30 | [
"MIT"
] | null | null | null | ico_gateway/views.py | dacom-dark-sun/dacom-api | 7efd77bf75cd28771b4a466ff36310d12b634f30 | [
"MIT"
] | null | null | null | ico_gateway/views.py | dacom-dark-sun/dacom-api | 7efd77bf75cd28771b4a466ff36310d12b634f30 | [
"MIT"
] | null | null | null | from rest_framework import viewsets, status
from rest_framework.response import Response
from account.models import Account
from wallet.coin_base import coin_base
from wallet.models import Wallet
from ico_gateway.models import IcoWallet, IcoProject
from ico_gateway.serializers import (
IcoProjectSerializer,
Ic... | 33.528302 | 76 | 0.694992 |
2c1009ce318ebb350e16fb6f622adf0a9ca64b2c | 2,733 | py | Python | motion/reference_model/los_reference_model/scripts/los_reference_model_node.py | vortexntnu/Manta-AUV | 7966b871c56b0ea9f95bb61a48609a81f4a276d8 | [
"MIT"
] | 25 | 2020-09-20T16:25:05.000Z | 2022-03-05T09:06:36.000Z | motion/reference_model/los_reference_model/scripts/los_reference_model_node.py | vortexntnu/Manta-AUV | 7966b871c56b0ea9f95bb61a48609a81f4a276d8 | [
"MIT"
] | 187 | 2020-09-20T16:02:01.000Z | 2022-03-26T00:14:32.000Z | motion/reference_model/los_reference_model/scripts/los_reference_model_node.py | vortexntnu/Manta-AUV | 7966b871c56b0ea9f95bb61a48609a81f4a276d8 | [
"MIT"
] | 15 | 2020-09-24T20:23:51.000Z | 2022-03-05T09:14:00.000Z | #!/usr/bin/env python
import rospy
import numpy as np
import math
from discrete_tustin import ReferenceModel
from vortex_msgs.msg import GuidanceData
if __name__ == '__main__':
try:
rm_los_node = LOSReferenceModelNode()
rospy.spin()
except rospy.ROSInterruptException:
pass
| 24.621622 | 120 | 0.712404 |
2c1069139cd713638cf5bbb933fb4bfc312c6f46 | 2,225 | py | Python | e_fun_calls.py | panamantis/gretnet_api | 7b30e3ca07992c52478de90cca94e18c1a1fa9f3 | [
"MIT"
] | null | null | null | e_fun_calls.py | panamantis/gretnet_api | 7b30e3ca07992c52478de90cca94e18c1a1fa9f3 | [
"MIT"
] | null | null | null | e_fun_calls.py | panamantis/gretnet_api | 7b30e3ca07992c52478de90cca94e18c1a1fa9f3 | [
"MIT"
] | null | null | null | import sys,os
import time
import datetime
import random
import re
import json
import requests
from flask import Flask, jsonify
from flasgger import Swagger # pip install flasgger
from flasgger import swag_from
from flask import request
from api_helper import GretNet_API_Helper
LOCAL_PATH = os.path.abspath(os.... | 11.410256 | 60 | 0.412135 |
2c1092a7d5dfc15f1ac47f20c842e794dad8aa14 | 13,051 | py | Python | src/ion.py | lksrmp/paw_structure | 560a0a601a90114fd80f98096aa1f0e012121c69 | [
"Apache-2.0"
] | null | null | null | src/ion.py | lksrmp/paw_structure | 560a0a601a90114fd80f98096aa1f0e012121c69 | [
"Apache-2.0"
] | 2 | 2022-03-22T15:27:17.000Z | 2022-03-30T14:16:26.000Z | src/ion.py | lksrmp/paw_structure | 560a0a601a90114fd80f98096aa1f0e012121c69 | [
"Apache-2.0"
] | null | null | null | """
paw_structure.ion
-----------------
Ion complex detection using geometric :ref:`algorithm<Control_ION_algorithm>`.
Main routine is :func:`.ion_find_parallel`.
Dependencies:
:py:mod:`functools`
:py:mod:`miniutils`
:py:mod:`numpy`
:py:mod:`pandas`
:mod:`.neighbor`
:mod:`.utility`
:class:... | 46.610714 | 120 | 0.539192 |
2c1242ea99a96b6aa8170526e30cefef163adf0c | 720 | py | Python | facilities/migrations/0002_auto_20160406_1835.py | uonafya/mfl_api | 379310b9b56cde084620f1f2dbfe4c6d7c1de47b | [
"MIT"
] | null | null | null | facilities/migrations/0002_auto_20160406_1835.py | uonafya/mfl_api | 379310b9b56cde084620f1f2dbfe4c6d7c1de47b | [
"MIT"
] | null | null | null | facilities/migrations/0002_auto_20160406_1835.py | uonafya/mfl_api | 379310b9b56cde084620f1f2dbfe4c6d7c1de47b | [
"MIT"
] | 4 | 2018-07-26T05:53:06.000Z | 2021-07-17T14:30:09.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
| 28.8 | 164 | 0.633333 |
2c146b5c3b1a1974b34c4daff216ed3881890272 | 4,547 | py | Python | pysparkle/frontend/qt.py | macdems/pysparkle | 7d6018e5f2010d6a79fe71bc972bd29c61a113bc | [
"MIT"
] | 1 | 2015-12-19T19:25:15.000Z | 2015-12-19T19:25:15.000Z | pysparkle/frontend/qt.py | macdems/pysparkle | 7d6018e5f2010d6a79fe71bc972bd29c61a113bc | [
"MIT"
] | null | null | null | pysparkle/frontend/qt.py | macdems/pysparkle | 7d6018e5f2010d6a79fe71bc972bd29c61a113bc | [
"MIT"
] | null | null | null | # Copyright (c) 2015-2016 Maciej Dems <maciej.dems@p.lodz.pl>
# See LICENSE file for copyright information.
import sys
if 'PySide6' in sys.modules:
from PySide6.QtWidgets import QMessageBox, QLabel, QTextEdit
_exec_attr = 'exec'
elif 'PyQt6' in sys.modules:
from PyQt6.QtWidgets import QMessageBox, QLabel, ... | 45.47 | 107 | 0.710798 |
2c14a991d87c2cf60960166a41fc56bf0090a775 | 11,475 | py | Python | python/3D-rrt/pvtrace/Visualise.py | rapattack88/mcclanahoochie | 6df72553ba954b52e949a6847a213b22f9e90157 | [
"Apache-2.0"
] | 1 | 2020-12-27T21:37:35.000Z | 2020-12-27T21:37:35.000Z | python/3D-rrt/pvtrace/Visualise.py | rapattack88/mcclanahoochie | 6df72553ba954b52e949a6847a213b22f9e90157 | [
"Apache-2.0"
] | null | null | null | python/3D-rrt/pvtrace/Visualise.py | rapattack88/mcclanahoochie | 6df72553ba954b52e949a6847a213b22f9e90157 | [
"Apache-2.0"
] | null | null | null | # pvtrace 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 of the License, or
# (at your option) any later version.
#
# pvtrace is distributed in the hope that it will be useful,
# but WITHOUT... | 38.506711 | 218 | 0.573943 |
2c15d80e491037ea14b873717a75a66167a22e80 | 621 | py | Python | dropme/error.py | tivaliy/dropme | 3d760e1da8182cdf62ab2a6f357dea923fca3cd7 | [
"Apache-2.0"
] | null | null | null | dropme/error.py | tivaliy/dropme | 3d760e1da8182cdf62ab2a6f357dea923fca3cd7 | [
"Apache-2.0"
] | null | null | null | dropme/error.py | tivaliy/dropme | 3d760e1da8182cdf62ab2a6f357dea923fca3cd7 | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2017 Vitalii Kulanov
#
| 19.40625 | 74 | 0.702093 |
2c181e2dad47cea140e8dd9cb71766cc7851ab04 | 83 | py | Python | sage/apps.py | one-two-four-cee-four-one-plus/sage-project | 2192ef60d8d3330586147a8ca93f899ef346ed42 | [
"WTFPL"
] | null | null | null | sage/apps.py | one-two-four-cee-four-one-plus/sage-project | 2192ef60d8d3330586147a8ca93f899ef346ed42 | [
"WTFPL"
] | null | null | null | sage/apps.py | one-two-four-cee-four-one-plus/sage-project | 2192ef60d8d3330586147a8ca93f899ef346ed42 | [
"WTFPL"
] | null | null | null | from django.apps import AppConfig
| 13.833333 | 33 | 0.73494 |
2c18b6e9e45bd540c1325793507b1f1e6ae3f589 | 11,058 | py | Python | plotting.py | derEitel/explainableMS | f1ba37d5579b3e4b1a4ec8bf38f7385bb71e00a3 | [
"BSD-3-Clause"
] | 7 | 2019-04-21T03:02:31.000Z | 2021-06-10T21:15:03.000Z | plotting.py | derEitel/explainableMS | f1ba37d5579b3e4b1a4ec8bf38f7385bb71e00a3 | [
"BSD-3-Clause"
] | 3 | 2021-03-07T07:01:32.000Z | 2022-02-08T17:15:46.000Z | plotting.py | derEitel/explainableMS | f1ba37d5579b3e4b1a4ec8bf38f7385bb71e00a3 | [
"BSD-3-Clause"
] | 4 | 2019-04-22T07:15:26.000Z | 2021-06-16T05:14:18.000Z | import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from matplotlib.colors import LinearSegmentedColormap
ms_color = [0.12156863, 0.46666667, 0.70588235, 1]
hc_color = [1., 0.49803922, 0.05490196, 1]
SMALL_SIZE = 12
MEDIUM_SIZE = 14
BIGGER_SIZE = 16
plt.rc('font', size=SMALL_SIZE) # contr... | 32.813056 | 101 | 0.60038 |
2c1972ea227e28510c531045816167ae977f461e | 1,670 | py | Python | setup.py | lucuma/Shake | b54082c9d217059ef02317aa043c3690d2e601d7 | [
"MIT"
] | 4 | 2015-02-15T17:35:12.000Z | 2016-07-21T06:35:12.000Z | setup.py | lucuma/Shake | b54082c9d217059ef02317aa043c3690d2e601d7 | [
"MIT"
] | null | null | null | setup.py | lucuma/Shake | b54082c9d217059ef02317aa043c3690d2e601d7 | [
"MIT"
] | null | null | null | # coding=utf-8
import io
import os
import re
from setuptools import setup, find_packages
data = read_from(get_path('shake', '__init__.py')).encode('utf8')
version = str(re.search(b"__version__\s*=\s*u?'([^']+)'", data).group(1)).strip()
desc = str(re.search(b'"""(.+)"""', data, re.DOTALL).group(1)).strip()
setup... | 30.925926 | 102 | 0.64491 |
2c19b4968a0e3a6289484e46f79c0a118894e2f2 | 3,110 | py | Python | meetup2xibo/updater/phrase_mapper.py | jshprentz/meetup2xibo | 236bef01305878943f27d246dac1b21cc78a521b | [
"MIT"
] | 3 | 2019-11-29T04:32:49.000Z | 2020-06-03T01:34:45.000Z | meetup2xibo/updater/phrase_mapper.py | jshprentz/meetup2xibo | 236bef01305878943f27d246dac1b21cc78a521b | [
"MIT"
] | 194 | 2020-06-01T01:42:41.000Z | 2021-08-02T10:25:58.000Z | meetup2xibo/updater/phrase_mapper.py | jshprentz/meetup2xibo | 236bef01305878943f27d246dac1b21cc78a521b | [
"MIT"
] | 1 | 2019-07-31T14:59:05.000Z | 2019-07-31T14:59:05.000Z | """Map phrases to preferred phrases."""
import logging
from collections import namedtuple
PhraseMapping = namedtuple("PhraseMapping", "preferred_phrase phrase_length")
SortableMatch = namedtuple(
"SortableMatch",
"start descending_phrase_length end preferred_phrase")
def normalize_text(text):
... | 33.44086 | 78 | 0.662058 |
2c19cbf8d9bb1b9d43bac56824e10f5d3f24bc92 | 3,092 | py | Python | hw1/deco.py | Tymeade/otus-python | b5ba2ab4f9c91abc97e6417a5600e4de1bcdb95c | [
"MIT"
] | null | null | null | hw1/deco.py | Tymeade/otus-python | b5ba2ab4f9c91abc97e6417a5600e4de1bcdb95c | [
"MIT"
] | null | null | null | hw1/deco.py | Tymeade/otus-python | b5ba2ab4f9c91abc97e6417a5600e4de1bcdb95c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from functools import update_wrapper, wraps
def disable(func):
"""
Disable a decorator by re-assigning the decorator's name
to this function. For example, to turn off memoization:
>>> memo = disable
"""
return func
def decorator(decorator_func... | 20.342105 | 110 | 0.554334 |
2c1a614bb487efce19fb64d000b2277fd8703c04 | 13,670 | py | Python | chunair/kicad-footprint-generator-master/scripts/Connector/Connector_Molex/conn_molex_mini-fit-sr_tht_top_dual.py | speedypotato/chuni-lite | c8dda8428723f8c4f99075e7cbaa22a44cbc187d | [
"CC-BY-4.0"
] | 2 | 2022-03-18T23:42:51.000Z | 2022-03-19T15:31:34.000Z | chunair/kicad-footprint-generator-master/scripts/Connector/Connector_Molex/conn_molex_mini-fit-sr_tht_top_dual.py | speedypotato/chuni-lite | c8dda8428723f8c4f99075e7cbaa22a44cbc187d | [
"CC-BY-4.0"
] | null | null | null | chunair/kicad-footprint-generator-master/scripts/Connector/Connector_Molex/conn_molex_mini-fit-sr_tht_top_dual.py | speedypotato/chuni-lite | c8dda8428723f8c4f99075e7cbaa22a44cbc187d | [
"CC-BY-4.0"
] | null | null | null | #!/usr/bin/env python3
'''
kicad-footprint-generator 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 of the License, or
(at your option) any later version.
kicad-footprint-generator is distribut... | 38.615819 | 199 | 0.640234 |
2c1a887bbd2d5ae6437d92ebd5ad09e7ede709e9 | 1,048 | py | Python | AprendeAyudando/forum/migrations/0001_initial.py | memoriasIT/AprendeAyudando | 0a32f59d3606075abb99a74ce1983a6171aa34cd | [
"CC0-1.0"
] | 1 | 2021-09-09T09:54:04.000Z | 2021-09-09T09:54:04.000Z | AprendeAyudando/forum/migrations/0001_initial.py | memoriasIT/AprendeAyudando | 0a32f59d3606075abb99a74ce1983a6171aa34cd | [
"CC0-1.0"
] | null | null | null | AprendeAyudando/forum/migrations/0001_initial.py | memoriasIT/AprendeAyudando | 0a32f59d3606075abb99a74ce1983a6171aa34cd | [
"CC0-1.0"
] | null | null | null | # Generated by Django 3.1.3 on 2020-11-28 23:37
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| 33.806452 | 179 | 0.622137 |
2c1b704a0373251585df63bff52ef28aefddc95f | 1,158 | py | Python | utils/utils.py | dtiarks/pg_agents | 321651a9d03c3836541c54bac4861bb576086e42 | [
"MIT"
] | 4 | 2018-05-23T05:46:10.000Z | 2020-05-13T23:20:15.000Z | utils/utils.py | dtiarks/pg_agents | 321651a9d03c3836541c54bac4861bb576086e42 | [
"MIT"
] | 1 | 2018-03-12T01:13:44.000Z | 2018-03-12T01:13:44.000Z | utils/utils.py | dtiarks/pg_agents | 321651a9d03c3836541c54bac4861bb576086e42 | [
"MIT"
] | null | null | null | import numpy as np
# A=[[4.,1.],[1.,3.]]
# b=[1.,2.]
# x_init=[2.,1.]
# Ax_prod=lambda x:np.dot(A,x)
# print(cg_solve(Ax_prod,b,x_init))
# shape_list=[(2,2,1),(3,3),(4,4)]
# array_list=[s[0]*np.ones(s) for s in shape_list]
# flat=flatten_array_list(array_list)
# unflat=unflatten_array_list(flat,shape_list)
#... | 17.283582 | 54 | 0.547496 |
2c1c0560ca30de9f1d31898b330aaa3130eb4feb | 804 | py | Python | clay/markdown_ext/jinja.py | TuxCoder/Clay | 04f15b4d742b14d09df9049dd91cfa4386cba66e | [
"MIT"
] | null | null | null | clay/markdown_ext/jinja.py | TuxCoder/Clay | 04f15b4d742b14d09df9049dd91cfa4386cba66e | [
"MIT"
] | null | null | null | clay/markdown_ext/jinja.py | TuxCoder/Clay | 04f15b4d742b14d09df9049dd91cfa4386cba66e | [
"MIT"
] | null | null | null | # coding=utf-8
import os
import jinja2
import jinja2.ext
from .render import md_to_jinja
MARKDOWN_EXTENSION = '.md'
| 27.724138 | 84 | 0.689055 |
2c1c31e1395ffc1971b2b93851e2582898ff12e7 | 1,553 | py | Python | FWCore/Modules/test/emptysource_firstLuminosityBlockForEachRun_cfg.py | trackerpro/cmssw | 3e05774a180a5f4cdc70b713bd711c23f9364765 | [
"Apache-2.0"
] | 1 | 2019-03-09T19:47:49.000Z | 2019-03-09T19:47:49.000Z | FWCore/Modules/test/emptysource_firstLuminosityBlockForEachRun_cfg.py | trackerpro/cmssw | 3e05774a180a5f4cdc70b713bd711c23f9364765 | [
"Apache-2.0"
] | null | null | null | FWCore/Modules/test/emptysource_firstLuminosityBlockForEachRun_cfg.py | trackerpro/cmssw | 3e05774a180a5f4cdc70b713bd711c23f9364765 | [
"Apache-2.0"
] | 1 | 2019-03-19T13:44:54.000Z | 2019-03-19T13:44:54.000Z | # Configuration file for EmptySource
import FWCore.ParameterSet.Config as cms
process = cms.Process("TEST")
process.load("FWCore.Framework.test.cmsExceptionsFatal_cff")
process.maxEvents = cms.untracked.PSet(
input = cms.untracked.int32(8*5)
)
runToLumi = ((2,1),(10,3),(20,7) )
process.source = cms.Source("Em... | 29.301887 | 122 | 0.728912 |
2c1ca54b5401d6fe3df69b6981ac878708992788 | 3,666 | py | Python | fewshot/models/refine_model.py | ashok-arjun/few-shot-ssl-public | f7577d80b7491e0f27234a2e9c0113782365c2e1 | [
"MIT"
] | 497 | 2018-03-02T00:50:53.000Z | 2022-03-22T06:30:59.000Z | fewshot/models/refine_model.py | eleniTriantafillou/few-shot-ssl-public | 3cf522031aa40b4ffb61e4693d0b48fdd5669276 | [
"MIT"
] | 20 | 2018-03-19T06:15:30.000Z | 2021-11-20T07:21:38.000Z | fewshot/models/refine_model.py | eleniTriantafillou/few-shot-ssl-public | 3cf522031aa40b4ffb61e4693d0b48fdd5669276 | [
"MIT"
] | 108 | 2018-03-02T06:56:13.000Z | 2021-12-23T03:40:43.000Z | # Copyright (c) 2018 Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell,
# Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, Richars S. Zemel.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in th... | 37.030303 | 80 | 0.707038 |
2c2176452024a68569a05aa63afc1709de969fb6 | 3,289 | py | Python | src/pyPreprocessing/transform.py | Snijderfrey/pyPreprocessing | 3faab0579aeb3e98b10caeeac3cccb101a48e825 | [
"MIT"
] | 3 | 2021-06-26T10:10:45.000Z | 2021-11-20T14:52:38.000Z | src/pyPreprocessing/transform.py | Snijderfrey/pyPreprocessing | 3faab0579aeb3e98b10caeeac3cccb101a48e825 | [
"MIT"
] | null | null | null | src/pyPreprocessing/transform.py | Snijderfrey/pyPreprocessing | 3faab0579aeb3e98b10caeeac3cccb101a48e825 | [
"MIT"
] | 1 | 2022-03-21T12:41:09.000Z | 2022-03-21T12:41:09.000Z | # -*- coding: utf-8 -*-
"""
Provides functions for data transformation (currently only LLS) and
normalization.
"""
import numpy as np
def transform(raw_data, mode, direction='direct', **kwargs):
"""
Apply mathematical transformations to data.
Parameters
----------
raw_data : ndarray
2D n... | 35.365591 | 78 | 0.604743 |
2c21c566d2ca466187f4db034e82279f282017b2 | 1,183 | py | Python | Hard/Trapping_Rain_Water.py | dianjiaogit/LeetCode_Python_solution | 390693c839d1be8802c21ea81062443b6d5ea36f | [
"MIT"
] | null | null | null | Hard/Trapping_Rain_Water.py | dianjiaogit/LeetCode_Python_solution | 390693c839d1be8802c21ea81062443b6d5ea36f | [
"MIT"
] | null | null | null | Hard/Trapping_Rain_Water.py | dianjiaogit/LeetCode_Python_solution | 390693c839d1be8802c21ea81062443b6d5ea36f | [
"MIT"
] | null | null | null | # Given n non-negative integers representing an elevation map where the width of each bar is 1, compute how much water it is able to trap after raining.
# The above elevation map is represented by array [0,1,0,2,1,0,1,3,2,1,2,1]. In this case, 6 units of rain water (blue section) are being trapped. Thanks Marcos for c... | 35.848485 | 189 | 0.56213 |
2c225109d5668fc0aa323264567d8fc0cf77c6dc | 3,172 | py | Python | core/common.py | shenzebang/DMTRPO | 3beb528c5b5aebe35dfa873788c5be3f5977f53f | [
"MIT"
] | 1 | 2019-11-17T11:05:26.000Z | 2019-11-17T11:05:26.000Z | core/common.py | shenzebang/DMTRPO | 3beb528c5b5aebe35dfa873788c5be3f5977f53f | [
"MIT"
] | null | null | null | core/common.py | shenzebang/DMTRPO | 3beb528c5b5aebe35dfa873788c5be3f5977f53f | [
"MIT"
] | null | null | null | import torch
from utils2.torch import to_device
import numpy as np
import multiprocessing as mp
import math
| 39.160494 | 150 | 0.669294 |
2c22a320a2928428c08eb5053a706398b340f23f | 2,235 | py | Python | src/predict.py | ashishnegi2000/FinalYr_1 | 14fddaa7463141a19bb6c2a25003115847f63395 | [
"MIT"
] | null | null | null | src/predict.py | ashishnegi2000/FinalYr_1 | 14fddaa7463141a19bb6c2a25003115847f63395 | [
"MIT"
] | null | null | null | src/predict.py | ashishnegi2000/FinalYr_1 | 14fddaa7463141a19bb6c2a25003115847f63395 | [
"MIT"
] | null | null | null | #Predictions performed by this module
#dependencies
import base64
import numpy as np
import io
from PIL import Image
import keras
from keras import backend as K
from keras.models import Sequential
from keras.models import load_model
from keras.preprocessing.image import ImageDataGenerator, img_to_array
from model imp... | 27.592593 | 146 | 0.694407 |
2c22fe7b5968c4acadcc023580c5ccbb977f7642 | 11,875 | py | Python | fair-data-model/scripts/rdfizer/rdfizer.py | longmanplus/beat-covid | fc5c88b191d7aa1e70cef8a055c25803b6d013a6 | [
"MIT"
] | 1 | 2021-11-09T23:26:49.000Z | 2021-11-09T23:26:49.000Z | fair-data-model/scripts/rdfizer/rdfizer.py | longmanplus/beat-covid | fc5c88b191d7aa1e70cef8a055c25803b6d013a6 | [
"MIT"
] | 1 | 2021-07-08T01:25:55.000Z | 2021-07-08T01:25:55.000Z | fair-data-model/scripts/rdfizer/rdfizer.py | longmanplus/beat-covid | fc5c88b191d7aa1e70cef8a055c25803b6d013a6 | [
"MIT"
] | 4 | 2020-11-16T06:31:58.000Z | 2021-07-14T12:50:23.000Z | # @name: rdfizer.py
# @description: Script to generate RDF data
# @version: 1.0
# @date: 28-04-2021
# @author: Nria Queralt Rosinach
# @email: n.queralt_rosinach@lumc.nl
"""Script to generate RDF data for Beat-COVID cytokine clinical measurements"""
import sys, os
from rdflib import Namespace, Graph, BNode, Literal
f... | 40.52901 | 120 | 0.655747 |
2c23038de9f75723e8fc2c45f00ef78866fa1bc7 | 793 | py | Python | fastapi/app/api/api_v1/endpoints/utils.py | Kitware/adios-dashboard | a21cf290a31897f77e5bc7d2037b2bbcc97944b5 | [
"BSD-3-Clause"
] | null | null | null | fastapi/app/api/api_v1/endpoints/utils.py | Kitware/adios-dashboard | a21cf290a31897f77e5bc7d2037b2bbcc97944b5 | [
"BSD-3-Clause"
] | 19 | 2019-02-25T20:40:41.000Z | 2020-04-20T17:25:09.000Z | fastapi/app/api/api_v1/endpoints/utils.py | Kitware/adios-dashboard | a21cf290a31897f77e5bc7d2037b2bbcc97944b5 | [
"BSD-3-Clause"
] | 2 | 2019-06-15T11:13:45.000Z | 2019-10-17T17:46:49.000Z | from typing import Any
import msgpack
from app.core.config import settings
from girder_client import GirderClient
from fastapi import HTTPException
from fastapi import Response
cache_settings = {
"directory": "/tmp/cache",
"eviction_policy": "least-frequently-used",
"size_limit": 2**20, # 1g
}
_gc = No... | 20.868421 | 88 | 0.722573 |
2c241102162d05e25463bf9c3e17c6e7e04a0fc0 | 8,838 | py | Python | src/data/preprocess/git_data_preparation.py | SpirinEgor/gnn_pretraining | 116017cfad3548a1f36d1c2ffd1e1881c99d4768 | [
"MIT"
] | 2 | 2021-06-11T09:22:18.000Z | 2021-07-14T03:16:54.000Z | src/data/preprocess/git_data_preparation.py | SpirinEgor/gnn_pretraining | 116017cfad3548a1f36d1c2ffd1e1881c99d4768 | [
"MIT"
] | null | null | null | src/data/preprocess/git_data_preparation.py | SpirinEgor/gnn_pretraining | 116017cfad3548a1f36d1c2ffd1e1881c99d4768 | [
"MIT"
] | 1 | 2021-07-30T04:02:55.000Z | 2021-07-30T04:02:55.000Z | import collections
import glob
import json
import os
import random
import re
from typing import Tuple, Iterator, List, Dict, Optional
from src.data.preprocess.example import Example
_DEFAULT_STATS_BOUNDARIES = {
"Python": {"max_line_len": (37, 741), "content_len": (111, 42476)},
"Java": {"max_line_len": (56, ... | 40.541284 | 113 | 0.581014 |
2c268ab3d2dfe53839294a3c79fe0f16232d5339 | 4,021 | py | Python | src/docs.py | techouse/alfred-nova-docs | 6874eff74f68661de9707391bf00e9c0a037edfb | [
"MIT"
] | 4 | 2019-01-15T12:10:40.000Z | 2021-01-17T22:11:14.000Z | src/docs.py | techouse/alfred-nova-docs | 6874eff74f68661de9707391bf00e9c0a037edfb | [
"MIT"
] | 1 | 2020-03-31T23:46:00.000Z | 2020-04-01T12:51:18.000Z | src/docs.py | techouse/alfred-nova-docs | 6874eff74f68661de9707391bf00e9c0a037edfb | [
"MIT"
] | 1 | 2019-07-04T03:49:59.000Z | 2019-07-04T03:49:59.000Z | #!/usr/bin/python
# encoding: utf-8
from __future__ import print_function, unicode_literals, absolute_import
import functools
import re
import sys
from textwrap import wrap
from urllib import quote_plus
from algoliasearch.search_client import SearchClient
from config import Config
from workflow import Workflow3, ICO... | 25.289308 | 89 | 0.573489 |
2c277cfbbfaebb1229ffb7154b1e6cc7851d5fad | 317 | py | Python | lambdataeedwardsa/example_module.py | EEdwardsA/lambdata | 11267522408266b5556d5607a7c875f237aea348 | [
"MIT"
] | null | null | null | lambdataeedwardsa/example_module.py | EEdwardsA/lambdata | 11267522408266b5556d5607a7c875f237aea348 | [
"MIT"
] | null | null | null | lambdataeedwardsa/example_module.py | EEdwardsA/lambdata | 11267522408266b5556d5607a7c875f237aea348 | [
"MIT"
] | 1 | 2020-10-27T22:08:51.000Z | 2020-10-27T22:08:51.000Z | """Lambdata - a collection of Data Science helper functions"""
# import pandas as pd
import numpy as np
fav_numbers = [7,22,4.14]
colors = ['purple','cyan','dark blue','crimson']
def df_cleaner(df):
"""Cleans a dataframe"""
# TODO - implement df_cleaner
pass
| 15.85 | 62 | 0.646688 |
2c2a539bab202c4d327932ae0ff14bcd68090a01 | 3,335 | py | Python | nlptk/topicmodeling/utils.py | GarryGaller/nlp_toolkit | df98ee25f8a1f4379e751fdd4fd9f5389ffbfd1b | [
"MIT"
] | null | null | null | nlptk/topicmodeling/utils.py | GarryGaller/nlp_toolkit | df98ee25f8a1f4379e751fdd4fd9f5389ffbfd1b | [
"MIT"
] | null | null | null | nlptk/topicmodeling/utils.py | GarryGaller/nlp_toolkit | df98ee25f8a1f4379e751fdd4fd9f5389ffbfd1b | [
"MIT"
] | null | null | null | import glob,os,sys
| 24.703704 | 70 | 0.508246 |
2c2b2054f72388db3047d42a5a6ed152993d2b96 | 1,188 | py | Python | opbank/test_opbank.py | Meeshkan/meeshkan-examples | b5a179d380f60ba72b06144c05b232accccc74bd | [
"MIT"
] | 1 | 2020-03-26T11:22:37.000Z | 2020-03-26T11:22:37.000Z | opbank/test_opbank.py | Meeshkan/meeshkan-examples | b5a179d380f60ba72b06144c05b232accccc74bd | [
"MIT"
] | 3 | 2020-03-09T09:30:43.000Z | 2020-05-04T14:42:02.000Z | opbank/test_opbank.py | Meeshkan/meeshkan-examples | b5a179d380f60ba72b06144c05b232accccc74bd | [
"MIT"
] | 1 | 2020-09-17T11:53:16.000Z | 2020-09-17T11:53:16.000Z | import requests
from opbank.opbank_client import OPBankClient
| 29.7 | 81 | 0.707912 |
2c2c960a6de32452ffb7ccc18e589bd83c133e7c | 12,816 | py | Python | probnmn/trainers/_trainer.py | kdexd/probnmn-clevr | 9c1b2286cf30e9fb045370153c9242a39760e02e | [
"MIT"
] | 69 | 2019-05-14T06:34:25.000Z | 2022-03-07T17:19:40.000Z | probnmn/trainers/_trainer.py | kdexd/probnmn-clevr | 9c1b2286cf30e9fb045370153c9242a39760e02e | [
"MIT"
] | 5 | 2019-07-21T23:00:55.000Z | 2020-11-16T12:38:04.000Z | probnmn/trainers/_trainer.py | kdexd/probnmn-clevr | 9c1b2286cf30e9fb045370153c9242a39760e02e | [
"MIT"
] | 11 | 2019-05-28T03:03:26.000Z | 2021-01-30T12:04:58.000Z | from typing import Any, Dict, Generator, List, Optional
import torch
from torch import nn, optim
from torch.utils.data import DataLoader
from tensorboardX import SummaryWriter
from probnmn.config import Config
from probnmn.utils.checkpointing import CheckpointManager
| 43.297297 | 98 | 0.650983 |
2c2cbc36c0799379271e1626bb734e2b62052e7b | 3,334 | py | Python | testplan/common/utils/exceptions.py | dobragab/testplan | 407ac1dfd33d19753e41235a1f576aeb06118840 | [
"Apache-2.0"
] | null | null | null | testplan/common/utils/exceptions.py | dobragab/testplan | 407ac1dfd33d19753e41235a1f576aeb06118840 | [
"Apache-2.0"
] | 64 | 2019-04-15T20:56:40.000Z | 2021-03-23T01:00:30.000Z | testplan/common/utils/exceptions.py | dobragab/testplan | 407ac1dfd33d19753e41235a1f576aeb06118840 | [
"Apache-2.0"
] | 1 | 2019-09-11T09:13:18.000Z | 2019-09-11T09:13:18.000Z | """Utilities for exception handling."""
import logging
import functools
import inspect
LOGGER = logging.getLogger(__name__)
def should_raise(exception, item, args=None, kwargs=None, pattern=None):
"""
"Utility that validates callable should raise specific exception.
:param exception: Exception should b... | 28.741379 | 77 | 0.586383 |
2c2e48e936899f7a8f86e2d400517f71ba883959 | 941 | py | Python | models.py | jarbaugh5/laundry_stats | 39e79854728e1c8012b2876bb3e3f93f48b42e04 | [
"Apache-2.0"
] | null | null | null | models.py | jarbaugh5/laundry_stats | 39e79854728e1c8012b2876bb3e3f93f48b42e04 | [
"Apache-2.0"
] | null | null | null | models.py | jarbaugh5/laundry_stats | 39e79854728e1c8012b2876bb3e3f93f48b42e04 | [
"Apache-2.0"
] | null | null | null | from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, ForeignKey
from sqlalchemy.types import DateTime
Base = declarative_base()
| 26.885714 | 58 | 0.724761 |
2c2e65f16dfdb4e288612747e4ae2bfab58d0f33 | 1,093 | py | Python | 35_search_insert_position.py | sreedharg/leetcode | 28c162c0f6923e4feaa0d6279c00dfe8237c726d | [
"MIT"
] | null | null | null | 35_search_insert_position.py | sreedharg/leetcode | 28c162c0f6923e4feaa0d6279c00dfe8237c726d | [
"MIT"
] | null | null | null | 35_search_insert_position.py | sreedharg/leetcode | 28c162c0f6923e4feaa0d6279c00dfe8237c726d | [
"MIT"
] | null | null | null | #Given a sorted array and a target value, return the index if the target is found. If not, return the index
#where it would be if it were inserted in order.
#You may assume no duplicates in the array.
sol = Solution()
res = sol.searchInsert([1,3], 0)
print(res) | 28.025641 | 108 | 0.52882 |
2c2e6d621114acc6ba86ff17d3529ddf9840b59d | 104,760 | py | Python | Examples/ApiExamples/ex_document.py | alex-dudin/Aspose.Words-for-Python-via-.NET | 02b257df8da9892fcce671c473c2ef27b68b5087 | [
"MIT"
] | 3 | 2021-12-04T22:17:28.000Z | 2022-02-22T03:30:01.000Z | Examples/ApiExamples/ex_document.py | alex-dudin/Aspose.Words-for-Python-via-.NET | 02b257df8da9892fcce671c473c2ef27b68b5087 | [
"MIT"
] | 4 | 2021-11-26T10:01:06.000Z | 2021-12-14T15:01:11.000Z | Examples/ApiExamples/ex_document.py | alex-dudin/Aspose.Words-for-Python-via-.NET | 02b257df8da9892fcce671c473c2ef27b68b5087 | [
"MIT"
] | 2 | 2021-10-20T18:06:22.000Z | 2021-10-29T20:59:18.000Z | # Copyright (c) 2001-2022 Aspose Pty Ltd. All Rights Reserved.
#
# This file is part of Aspose.Words. The source code in this file
# is only intended as a supplement to the documentation, and is provided
# "as is", without warranty of any kind, either expressed or implied.
import unittest
import io
import os
import gl... | 43.979849 | 525 | 0.682379 |
2c2f817fd0220fe68a499dd03c634d8f2853d57a | 2,865 | py | Python | code/tests/functional/tests/test_refer.py | CiscoSecurity/tr-05-serverless-pulsedive | 00d25695ad5d904a30390151e7c695ac5e64476c | [
"MIT"
] | 3 | 2020-03-08T20:30:55.000Z | 2021-11-30T06:01:15.000Z | code/tests/functional/tests/test_refer.py | CiscoSecurity/tr-05-serverless-pulsedive | 00d25695ad5d904a30390151e7c695ac5e64476c | [
"MIT"
] | 6 | 2020-04-02T16:11:42.000Z | 2020-12-17T11:06:06.000Z | code/tests/functional/tests/test_refer.py | CiscoSecurity/tr-05-serverless-pulsedive | 00d25695ad5d904a30390151e7c695ac5e64476c | [
"MIT"
] | 1 | 2020-10-12T18:10:36.000Z | 2020-10-12T18:10:36.000Z | import pytest
from ctrlibrary.core.utils import get_observables
from ctrlibrary.threatresponse.enrich import enrich_refer_observables
from tests.functional.tests.constants import (
MODULE_NAME,
PULSEDIVE_URL,
OBSERVABLE_HUMAN_READABLE_NAME
)
from urllib.parse import quote
| 37.207792 | 79 | 0.6363 |
2c2f9b90ebf5604014575bad5dad0fa9a8c11c47 | 857 | py | Python | dsvfile/Models/FactorySystem/AssemblerComponent.py | phoenixx-666/dsvread | 8a073c12343b2f0d34f9b728282dfefe10999f24 | [
"MIT"
] | 2 | 2021-03-01T19:57:20.000Z | 2021-08-02T20:54:48.000Z | dsvfile/Models/FactorySystem/AssemblerComponent.py | phoenixx-666/dsvread | 8a073c12343b2f0d34f9b728282dfefe10999f24 | [
"MIT"
] | null | null | null | dsvfile/Models/FactorySystem/AssemblerComponent.py | phoenixx-666/dsvread | 8a073c12343b2f0d34f9b728282dfefe10999f24 | [
"MIT"
] | null | null | null | from ...Fields import BoolField, ConditionalBlockStart
from ...Fields.Enums import ERecipe, ERecipeType
from ...Func import g
from . import Model, Int32Field, ArrayField
| 31.740741 | 87 | 0.719953 |
2c31499cb4bfcf205bb5c15d2566ed72e48c35b6 | 13,612 | py | Python | src/functions.py | kkFlashK1/Redis-Clone | e2754a4367d6f78421ab8bc32277eec7306ccdbc | [
"MIT"
] | null | null | null | src/functions.py | kkFlashK1/Redis-Clone | e2754a4367d6f78421ab8bc32277eec7306ccdbc | [
"MIT"
] | null | null | null | src/functions.py | kkFlashK1/Redis-Clone | e2754a4367d6f78421ab8bc32277eec7306ccdbc | [
"MIT"
] | 4 | 2020-04-20T06:33:05.000Z | 2020-05-04T06:18:50.000Z | import time
from sortedcontainers import SortedSet
from .exception import *
import traceback
import random
| 36.010582 | 128 | 0.475169 |
2c31a024dccd00a7e17a289a6b5ec9699ad4bb7a | 4,749 | py | Python | code/gamescene.py | prake71/blackandwhite | 2f23f4b3dc57080d230a4c423332000fe02b8024 | [
"MIT"
] | null | null | null | code/gamescene.py | prake71/blackandwhite | 2f23f4b3dc57080d230a4c423332000fe02b8024 | [
"MIT"
] | null | null | null | code/gamescene.py | prake71/blackandwhite | 2f23f4b3dc57080d230a4c423332000fe02b8024 | [
"MIT"
] | null | null | null | import pygame
import constants
from player import *
from scene import *
from level01 import *
from level03 import *
from level02 import *
from customscene import *
import titlescene
| 35.706767 | 76 | 0.549379 |
2c31b0fdfb0fd6536f8cea2947f69df4b6872d46 | 2,336 | py | Python | migrations/versions/6245d75fa12_exceptions_table.py | boladmin/security_monkey | c28592ffd518fa399527d26262683fc860c30eef | [
"Apache-2.0"
] | 4,258 | 2015-01-04T22:06:10.000Z | 2022-03-31T23:40:27.000Z | migrations/versions/6245d75fa12_exceptions_table.py | boladmin/security_monkey | c28592ffd518fa399527d26262683fc860c30eef | [
"Apache-2.0"
] | 1,013 | 2015-01-12T02:31:03.000Z | 2021-09-16T19:09:03.000Z | migrations/versions/6245d75fa12_exceptions_table.py | boladmin/security_monkey | c28592ffd518fa399527d26262683fc860c30eef | [
"Apache-2.0"
] | 965 | 2015-01-11T21:06:07.000Z | 2022-03-17T16:53:57.000Z | """Exceptions Table
Revision ID: 6245d75fa12
Revises: e0a6af364a3f
Create Date: 2016-08-16 11:35:38.575026
"""
# revision identifiers, used by Alembic.
revision = '6245d75fa12'
down_revision = 'e0a6af364a3f'
from alembic import op
import sqlalchemy as sa
| 42.472727 | 91 | 0.704623 |
2c32d82c9a78a282495fbc7831ecf41937c490f8 | 4,422 | py | Python | DigitalBiomarkers-Preprocessing/Signal-Alignment/sdtw/test.py | jessilyn/DBDP-1 | 49308994853d36fa8b24066222851133f6bbf4c7 | [
"Apache-2.0"
] | 20 | 2020-01-27T16:32:25.000Z | 2021-05-27T15:06:29.000Z | DigitalBiomarkers-Preprocessing/Signal-Alignment/sdtw/test.py | chopeter27/DBDP | 99357dac197ceeb8c240ead804dd2c8bd3e3fc93 | [
"Apache-2.0"
] | 11 | 2020-01-27T16:22:09.000Z | 2020-07-29T20:11:22.000Z | DigitalBiomarkers-Preprocessing/Signal-Alignment/sdtw/test.py | chopeter27/DBDP | 99357dac197ceeb8c240ead804dd2c8bd3e3fc93 | [
"Apache-2.0"
] | 16 | 2019-04-05T15:01:46.000Z | 2021-07-07T05:42:27.000Z | import pandas as pd
import math
import linecache
import numpy as np
from scipy import stats
from parameter_cal import cf
from dtw import dtw
from scipy.misc import *
from sdtw.config import sub_len, nBlocks
from sdtw.utils import cal_descriptor, samplingSequences, norm, get_link_graph
from parameter_cal.utils... | 39.482143 | 120 | 0.688602 |
2574c91dd0017e03291fbe071a3fc02152437d2a | 193 | py | Python | base_model/admin.py | kriwil/django-base-model | e6e989fce282200df3f6d114af27cfa4a618203f | [
"0BSD"
] | null | null | null | base_model/admin.py | kriwil/django-base-model | e6e989fce282200df3f6d114af27cfa4a618203f | [
"0BSD"
] | null | null | null | base_model/admin.py | kriwil/django-base-model | e6e989fce282200df3f6d114af27cfa4a618203f | [
"0BSD"
] | null | null | null | from django.contrib import admin
| 16.083333 | 39 | 0.601036 |
257570ef08bf6f96adf3ca076eab3e37b42bac17 | 6,083 | py | Python | results/migrations/0001_initial.py | lilbex/bitcom | c0d09155b655de3ebe84851f24e5c07ef60da611 | [
"MIT"
] | null | null | null | results/migrations/0001_initial.py | lilbex/bitcom | c0d09155b655de3ebe84851f24e5c07ef60da611 | [
"MIT"
] | null | null | null | results/migrations/0001_initial.py | lilbex/bitcom | c0d09155b655de3ebe84851f24e5c07ef60da611 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.6 on 2021-08-24 18:31
from django.db import migrations, models
| 45.736842 | 114 | 0.554661 |
2575c1d96c57160a201fba4b65403230c9c3cfc4 | 12,137 | py | Python | quantization/Quantizelayer.py | fengxiaoshuai/CNN_model_optimizer | 4c48420989ffe31a4075d36a5133fee0d999466a | [
"Apache-2.0"
] | null | null | null | quantization/Quantizelayer.py | fengxiaoshuai/CNN_model_optimizer | 4c48420989ffe31a4075d36a5133fee0d999466a | [
"Apache-2.0"
] | 1 | 2021-01-05T10:41:24.000Z | 2021-01-05T10:41:24.000Z | quantization/Quantizelayer.py | fengxiaoshuai/CNN_model_optimizer | 4c48420989ffe31a4075d36a5133fee0d999466a | [
"Apache-2.0"
] | 1 | 2020-08-07T02:56:20.000Z | 2020-08-07T02:56:20.000Z | from __future__ import division
from __future__ import print_function
import numpy as np
import copy
from scipy import stats
data = np.random.randn(10000,)
print(data)
layer = QuantizeLayer(name="con_1")
layer.initial_histograms(data)
print("min:", layer.min)
print("max:", layer.max)
print("edge:", layer.edge)
print("... | 37.928125 | 110 | 0.596853 |
2576626ceba771ec76431abf1f815e63a7c7ef75 | 5,484 | py | Python | SRFlow_seungjae/code/test.py | scey26/srdualglow | 23dbd0ce94f12abc6885c9a3ed3b7ca6f6f15170 | [
"MIT"
] | 1 | 2021-06-29T06:39:42.000Z | 2021-06-29T06:39:42.000Z | SRFlow_seungjae/code/test.py | scey26/srdualglow | 23dbd0ce94f12abc6885c9a3ed3b7ca6f6f15170 | [
"MIT"
] | null | null | null | SRFlow_seungjae/code/test.py | scey26/srdualglow | 23dbd0ce94f12abc6885c9a3ed3b7ca6f6f15170 | [
"MIT"
] | null | null | null | # Copyright (c) 2020 Huawei Technologies Co., Ltd.
# Licensed under CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike 4.0 International) (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://creativecommons.org/licenses/by-nc-sa... | 29.967213 | 119 | 0.654632 |
25774050e4ebc5c3ab6263fbb98ab241ce4786a3 | 2,620 | py | Python | wit/dep/triplet-learning.py | bkj/what-is-this | 49c6e4f9809623d8580433baf00e507faacb04f0 | [
"Apache-2.0"
] | 21 | 2016-01-12T05:20:29.000Z | 2022-01-05T18:14:40.000Z | wit/dep/triplet-learning.py | bkj/what-is-this | 49c6e4f9809623d8580433baf00e507faacb04f0 | [
"Apache-2.0"
] | null | null | null | wit/dep/triplet-learning.py | bkj/what-is-this | 49c6e4f9809623d8580433baf00e507faacb04f0 | [
"Apache-2.0"
] | 38 | 2016-11-08T04:49:17.000Z | 2019-01-10T04:47:52.000Z | import keras
import pandas as pd
import urllib2
from bs4 import BeautifulSoup
from pprint import pprint
from matplotlib import pyplot as plt
import sys
sys.path.append('/Users/BenJohnson/projects/what-is-this/wit/')
from wit import *
pd.set_option('display.max_rows', 50)
pd.set_option('display.max_columns', 500)
pd.... | 22.782609 | 90 | 0.684351 |
257953b2686a30760d1c8853c684474288fcc931 | 3,826 | py | Python | selfdrive/dragonpilot/gpxd.py | lijunhao731/dragonpilot | 460890bc2149fb0f344943683052278afd359f2d | [
"MIT"
] | 8 | 2020-11-07T17:01:27.000Z | 2022-01-08T04:54:08.000Z | selfdrive/dragonpilot/gpxd.py | lijunhao731/dragonpilot | 460890bc2149fb0f344943683052278afd359f2d | [
"MIT"
] | 2 | 2021-03-21T10:24:12.000Z | 2021-07-26T11:50:56.000Z | selfdrive/dragonpilot/gpxd.py | lijunhao731/dragonpilot | 460890bc2149fb0f344943683052278afd359f2d | [
"MIT"
] | 5 | 2020-10-16T11:29:20.000Z | 2021-09-22T04:23:54.000Z | #!/usr/bin/env python3
import cereal.messaging as messaging
import os
import datetime
import signal
import threading
from common.realtime import Ratekeeper
# customisable values
GPX_LOG_PATH = '/data/media/0/gpx_logs/'
LOG_HERTZ = 10 # 10 hz = 0.1 sec, higher for higher accuracy, 10hz seems fine
LOG_LENGTH = 10 # mins... | 32.982759 | 314 | 0.646106 |
25796623b047f49a864e729351b380a30f77c0c5 | 26 | py | Python | Unlock_webapp/libs/grpc/_grpcio_metadata.py | maxathon2020/Enk | 1bcf9c788e8b0ab5d21821b694292a3c110eb526 | [
"MIT"
] | 1 | 2021-01-15T18:00:01.000Z | 2021-01-15T18:00:01.000Z | Unlock_webapp/libs/grpc/_grpcio_metadata.py | maxathon2020/Enk | 1bcf9c788e8b0ab5d21821b694292a3c110eb526 | [
"MIT"
] | null | null | null | Unlock_webapp/libs/grpc/_grpcio_metadata.py | maxathon2020/Enk | 1bcf9c788e8b0ab5d21821b694292a3c110eb526 | [
"MIT"
] | null | null | null | __version__ = """1.32.0""" | 26 | 26 | 0.576923 |
2579c36b1d400b2989548b5ef20920bc5aa3d5ac | 17,767 | py | Python | ASV/ASV/nodes/averager.py | Southampton-Maritime-Robotics/Autonomous-Ship-and-Wavebuoys | bea27ac87b0e2991096da7f1b1c2197f1d620a51 | [
"MIT"
] | 4 | 2017-11-09T12:05:14.000Z | 2021-06-25T05:59:15.000Z | ASV/ASV/nodes/averager.py | Southampton-Maritime-Robotics/Autonomous-Ship-and-Wavebuoys | bea27ac87b0e2991096da7f1b1c2197f1d620a51 | [
"MIT"
] | null | null | null | ASV/ASV/nodes/averager.py | Southampton-Maritime-Robotics/Autonomous-Ship-and-Wavebuoys | bea27ac87b0e2991096da7f1b1c2197f1d620a51 | [
"MIT"
] | 1 | 2021-05-08T20:09:50.000Z | 2021-05-08T20:09:50.000Z | #!/usr/bin/python
##############################################################################
#averager.py
#
#This code has been created by Enrico Anderlini (ea3g09@soton.ac.uk) for
#averaging the main readings required during the QinetiQ tests. These values
#averaged over one minute will be published to an externa... | 39.394678 | 139 | 0.585017 |
257a8339f2250ee65e5f7d0aa4d5a83f1b6f928b | 12,827 | py | Python | joulescope_ui/oscilloscope/marker.py | Axel-Jacobsen/pyjoulescope_ui | 7d296b1ead0d36c6524dc399372f7888a340e9fa | [
"Apache-2.0"
] | 1 | 2019-08-08T21:10:26.000Z | 2019-08-08T21:10:26.000Z | joulescope_ui/oscilloscope/marker.py | Axel-Jacobsen/pyjoulescope_ui | 7d296b1ead0d36c6524dc399372f7888a340e9fa | [
"Apache-2.0"
] | null | null | null | joulescope_ui/oscilloscope/marker.py | Axel-Jacobsen/pyjoulescope_ui | 7d296b1ead0d36c6524dc399372f7888a340e9fa | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Jetperch 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,... | 33.23057 | 97 | 0.580416 |
257b5ca1436a1b26014145a5d43f0c4a06c06313 | 2,267 | py | Python | usb-camera-gst.py | jetsonhacks/USB-Camera | 53d34b974428bfc15469cd52c92ceac60feb60fe | [
"MIT"
] | 14 | 2022-01-21T23:56:58.000Z | 2022-03-10T02:46:10.000Z | usb-camera-gst.py | JetsonHacksNano/USB-Camera | 53d34b974428bfc15469cd52c92ceac60feb60fe | [
"MIT"
] | null | null | null | usb-camera-gst.py | JetsonHacksNano/USB-Camera | 53d34b974428bfc15469cd52c92ceac60feb60fe | [
"MIT"
] | 4 | 2022-01-28T18:52:31.000Z | 2022-03-05T20:03:55.000Z | #!/usr/bin/env python3
#
# USB Camera - Simple
#
# Copyright (C) 2021-22 JetsonHacks (info@jetsonhacks.com)
#
# MIT License
#
import sys
import cv2
window_title = "USB Camera"
# ASSIGN CAMERA ADRESS to DEVICE HERE!
pipeline = " ! ".join(["v4l2src device=/dev/video0",
"video/x-raw, width=64... | 33.338235 | 123 | 0.538597 |
257c7887bbadadf7ad524f6cc017c11ec7078dfe | 219 | py | Python | louis/webdev/myblog/blog/admin.py | GadinganJayHarley06/intern-blog | b442c6f307da63d8687773df7bcbf28ceab3e6a9 | [
"MIT"
] | null | null | null | louis/webdev/myblog/blog/admin.py | GadinganJayHarley06/intern-blog | b442c6f307da63d8687773df7bcbf28ceab3e6a9 | [
"MIT"
] | null | null | null | louis/webdev/myblog/blog/admin.py | GadinganJayHarley06/intern-blog | b442c6f307da63d8687773df7bcbf28ceab3e6a9 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Index, Tag, Category, Post
# Register your models here.
admin.site.register(Index)
admin.site.register(Tag)
admin.site.register(Category)
admin.site.register(Post) | 21.9 | 46 | 0.794521 |
257cae7ff7dac86cc983c3e6d70faff1d9548ba3 | 588 | py | Python | 035.py | canis/euler-py | 56e500fcaebd06dc59c85e2b70d095fc9f268ce0 | [
"MIT"
] | null | null | null | 035.py | canis/euler-py | 56e500fcaebd06dc59c85e2b70d095fc9f268ce0 | [
"MIT"
] | null | null | null | 035.py | canis/euler-py | 56e500fcaebd06dc59c85e2b70d095fc9f268ce0 | [
"MIT"
] | null | null | null | from utils.math import primes
p = primes(100)
print (p)
r = set()
for num in p:
rot = rotate(num)
if rot:
r.add(rot)
s = len(r)
for fs in r:
print(fs)
for num in fs:
print(num)
if num not in p:
print ('---brk')
s -= 1
break
print(s)
| 15.473684 | 56 | 0.440476 |
257e3291467a365d825dce2ce9baa7043728edeb | 10,227 | py | Python | results.py | MariusWirtz/optimus-py | 09378f6daf759ee0ff8a0e83d614ffba1720b956 | [
"MIT"
] | 1 | 2020-07-03T22:15:45.000Z | 2020-07-03T22:15:45.000Z | results.py | MariusWirtz/tm1-optipyzer | 09378f6daf759ee0ff8a0e83d614ffba1720b956 | [
"MIT"
] | 3 | 2020-02-17T23:28:47.000Z | 2020-05-06T20:21:56.000Z | results.py | MariusWirtz/optimus-py | 09378f6daf759ee0ff8a0e83d614ffba1720b956 | [
"MIT"
] | null | null | null | import itertools
import logging
import os
import statistics
from pathlib import WindowsPath
from typing import List, Union
import seaborn as sns
sns.set_theme()
import matplotlib.pyplot as plt
import pandas as pd
SEPARATOR = ","
HEADER = ["ID", "Mode", "Is Best", "Mean Query Time", "Query Ratio", "Mean Process Time"... | 39.183908 | 113 | 0.641048 |
257fa21be7c52550321debef98c5629ed602cf83 | 3,412 | py | Python | model.py | shivam13verma/han-chainer | ca1e34b1dcd8ecfdf55690de62b89c59c3699f82 | [
"MIT"
] | null | null | null | model.py | shivam13verma/han-chainer | ca1e34b1dcd8ecfdf55690de62b89c59c3699f82 | [
"MIT"
] | null | null | null | model.py | shivam13verma/han-chainer | ca1e34b1dcd8ecfdf55690de62b89c59c3699f82 | [
"MIT"
] | null | null | null | from keras.models import Sequential
from keras.layers import Dense, Activation
model = Sequential()
model.add(Embedding(vocabulary_size, embedding_dim, input_shape=(90582, 517)))
model.add(GRU(512, return_sequences=True))
model.add(Dropout(0.2))
model.add(GRU(512, return_sequences=True))
model.add(Dropout(0.2))
mode... | 37.086957 | 105 | 0.681125 |
2581eb1b55c042ee77c302c7a30814d99058fc85 | 2,901 | py | Python | chaospy/distributions/collection/gamma.py | lblonk/chaospy | 1759a4307c6134b74ce63ff44973195f1e185f94 | [
"MIT"
] | 1 | 2020-04-29T20:53:25.000Z | 2020-04-29T20:53:25.000Z | chaospy/distributions/collection/gamma.py | agonzs11/Polinomio-del-caos | 5a415ece07e6535488174bac69a6c0fcc2ca272d | [
"MIT"
] | null | null | null | chaospy/distributions/collection/gamma.py | agonzs11/Polinomio-del-caos | 5a415ece07e6535488174bac69a6c0fcc2ca272d | [
"MIT"
] | null | null | null | """Gamma distribution."""
import numpy
from scipy import special
from ..baseclass import Dist
from ..operators.addition import Add
| 27.367925 | 69 | 0.536711 |
258221159670850092053b3b46e03afa8f767d41 | 7,449 | py | Python | simplivity/resources/external_stores.py | HewlettPackard/simplivity-python-sdk | 03d8e92a02fe66e878ed22b37944e5a6ce991ef1 | [
"Apache-2.0"
] | 7 | 2020-02-28T09:03:09.000Z | 2022-03-28T15:52:23.000Z | simplivity/resources/external_stores.py | HewlettPackard/simplivity-python-sdk | 03d8e92a02fe66e878ed22b37944e5a6ce991ef1 | [
"Apache-2.0"
] | 47 | 2020-01-16T20:32:19.000Z | 2020-08-27T04:43:00.000Z | simplivity/resources/external_stores.py | HewlettPackard/simplivity-python-sdk | 03d8e92a02fe66e878ed22b37944e5a6ce991ef1 | [
"Apache-2.0"
] | 16 | 2020-01-10T14:15:17.000Z | 2021-04-06T13:31:01.000Z | ###
# (C) Copyright [2019-2020] Hewlett Packard Enterprise Development LP
#
# 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 ... | 44.873494 | 130 | 0.638475 |
25823a8b6363471624240c48f9dff5e83c6d7d22 | 12,775 | py | Python | items/migrations/0001_initial.py | LluisoCP/BooksAndFilms | a972091e920cb94313ab1f005a01bd72df538891 | [
"MIT"
] | null | null | null | items/migrations/0001_initial.py | LluisoCP/BooksAndFilms | a972091e920cb94313ab1f005a01bd72df538891 | [
"MIT"
] | null | null | null | items/migrations/0001_initial.py | LluisoCP/BooksAndFilms | a972091e920cb94313ab1f005a01bd72df538891 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.7 on 2019-09-17 12:09
from django.db import migrations, models
import django.db.models.deletion
import items.models
| 112.061404 | 3,170 | 0.56955 |
25825cd19c25741651ec1092171b226484d87889 | 2,039 | py | Python | init.py | lanvstn/workshops-api | e52461f78b7032cd5377aa5d5a05246d1b827bdd | [
"MIT"
] | null | null | null | init.py | lanvstn/workshops-api | e52461f78b7032cd5377aa5d5a05246d1b827bdd | [
"MIT"
] | 1 | 2019-10-15T18:52:45.000Z | 2019-10-15T18:52:45.000Z | init.py | lanvstn/workshops-api | e52461f78b7032cd5377aa5d5a05246d1b827bdd | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import argparse
import sqlalchemy.exc
from workshops_api.app import app
from workshops_api.database import db
from workshops_api.auth import ACCESS_LEVELS
from workshops_api.models.user import UserModel
from workshops_api.config import config
if __name__ == "__main__":
parser = argparse.... | 30.893939 | 87 | 0.557626 |
25858779947cdd6eff807639ff98f34b7425aeeb | 1,285 | py | Python | setup.py | bentettmar/nertivia4py | a9b758000632e40306bc610a6966cb8d0a643c20 | [
"MIT"
] | 3 | 2022-01-24T16:31:20.000Z | 2022-02-03T22:44:51.000Z | setup.py | bentettmar/nertivia4py | a9b758000632e40306bc610a6966cb8d0a643c20 | [
"MIT"
] | 9 | 2022-03-05T19:01:48.000Z | 2022-03-06T11:38:53.000Z | setup.py | bentettmar/nertivia4py | a9b758000632e40306bc610a6966cb8d0a643c20 | [
"MIT"
] | null | null | null | from distutils.core import setup
readme = """
# Nertivia4PY
A Python wrapper for the Nertivia API.
Support Nertivia server : https://nertivia.net/i/nertivia4py
> ### Install
> ```
> pip install nertivia4py
> ```
> ### Example
> ```python
> import nertivia4py
>
> token = "TOKEN_HERE"
> prefix = "... | 25.196078 | 98 | 0.633463 |
258642582e345c59fc75a59b993ff30a2400aec6 | 3,030 | py | Python | generative/stylclip/operators.py | armaank/archlectures | ec4caec6efa1bf419dec24ad850e38ad6c123905 | [
"BSD-3-Clause"
] | 1 | 2021-04-09T16:10:55.000Z | 2021-04-09T16:10:55.000Z | generative/stylclip/operators.py | armaank/archlectures | ec4caec6efa1bf419dec24ad850e38ad6c123905 | [
"BSD-3-Clause"
] | null | null | null | generative/stylclip/operators.py | armaank/archlectures | ec4caec6efa1bf419dec24ad850e38ad6c123905 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import torch
from scipy.stats import truncnorm
from pymoo.factory import get_sampling, get_crossover, get_mutation
from pymoo.operators.mixed_variable_operator import MixedVariableSampling, MixedVariableMutation, MixedVariableCrossover
from pymoo.model.sampling import Sampling
def get_operators(co... | 33.666667 | 120 | 0.628053 |
2586cc665c211863710efc72964860d0e8a2e6e2 | 723 | py | Python | setup.py | VENULLLC/Monoclock | e393d94f89b39f9613c63167d4c911ab4c9d21a9 | [
"MIT"
] | 2 | 2015-11-04T19:16:00.000Z | 2016-03-03T20:51:32.000Z | setup.py | VENULLLC/Monoclock | e393d94f89b39f9613c63167d4c911ab4c9d21a9 | [
"MIT"
] | 1 | 2017-08-08T16:56:35.000Z | 2017-08-08T16:56:35.000Z | setup.py | VENULLLC/Monoclock | e393d94f89b39f9613c63167d4c911ab4c9d21a9 | [
"MIT"
] | 2 | 2020-12-28T20:13:38.000Z | 2021-07-26T16:39:31.000Z | #!/usr/bin/env python
import sys
from distutils.core import setup
from distutils.extension import Extension
if sys.platform == 'darwin':
monoclock_libraries = []
else:
monoclock_libraries = ['rt']
setup(
name='Monoclock',
version='14.4.18',
description="Monotonic clock access for Python",
url="https://github.c... | 24.1 | 73 | 0.706777 |
25873fb3ea0c2524e1adfd5dff21649fc4c13e56 | 9,844 | py | Python | mrobpy/examples/vis_utils.py | miloserdova-l/mrob | 48bef772ba3158d2122991069196d6efd4a39f8c | [
"Apache-2.0"
] | 12 | 2020-09-22T15:33:48.000Z | 2022-03-02T17:27:39.000Z | mrobpy/examples/vis_utils.py | MobileRoboticsSkoltech/mrob | 7668a3ee35345c4878aa86fff082cc017992d205 | [
"Apache-2.0"
] | 46 | 2020-09-22T15:47:08.000Z | 2022-01-22T10:56:44.000Z | mrobpy/examples/vis_utils.py | MobileRoboticsSkoltech/mrob | 7668a3ee35345c4878aa86fff082cc017992d205 | [
"Apache-2.0"
] | 9 | 2020-09-22T15:59:33.000Z | 2021-12-20T20:15:16.000Z | import numpy as np
import pandas as pd
import mrob
from test_utils import get_mc
from sys import platform
import matplotlib
if platform == "darwin":
matplotlib.use('PS')
import matplotlib.pyplot as plt
# Here the Cholesky decomposition for singular covariance matrix is implemented
| 29.650602 | 109 | 0.548151 |
2589eb77b53e81f30f42249e4a59f220a70d8f3e | 573 | py | Python | api/tf_auth/migrations/0009_populate_username.py | prattl/teamfinder-web | 85ded666879c2ee4b51cb59ffdedc2dedbfd9c7e | [
"Apache-2.0"
] | 9 | 2017-04-10T09:40:01.000Z | 2020-01-31T17:15:41.000Z | api/tf_auth/migrations/0009_populate_username.py | prattl/teamfinder-web | 85ded666879c2ee4b51cb59ffdedc2dedbfd9c7e | [
"Apache-2.0"
] | 19 | 2017-02-22T16:26:02.000Z | 2020-02-04T16:08:16.000Z | api/tf_auth/migrations/0009_populate_username.py | prattl/teamfinder-web | 85ded666879c2ee4b51cb59ffdedc2dedbfd9c7e | [
"Apache-2.0"
] | 3 | 2017-04-17T06:37:58.000Z | 2021-04-09T18:16:28.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.1 on 2017-04-17 00:30
from __future__ import unicode_literals
from django.db import migrations
| 21.222222 | 65 | 0.649215 |
258dfd4cf3f12a84a78632665686b4481a1602df | 1,947 | py | Python | emotion_detection/f_emotion_detection.py | juan-csv/Architecture-for-real-time-video-streaming-analytics | bf4f03553fa856aa5f704ea25666d163b90cd5e9 | [
"MIT"
] | 16 | 2020-09-14T07:46:45.000Z | 2022-03-29T02:53:40.000Z | emotion_detection/f_emotion_detection.py | juan-csv/Architecture-for-real-time-video-streaming-analytics | bf4f03553fa856aa5f704ea25666d163b90cd5e9 | [
"MIT"
] | null | null | null | emotion_detection/f_emotion_detection.py | juan-csv/Architecture-for-real-time-video-streaming-analytics | bf4f03553fa856aa5f704ea25666d163b90cd5e9 | [
"MIT"
] | 4 | 2020-09-16T02:23:14.000Z | 2022-01-12T06:49:43.000Z | import config as cfg
import cv2
import numpy as np
from keras.models import load_model
from keras.preprocessing.image import img_to_array
from keras import backend as K
import tensorflow as tf
import keras
'''
esto es necesario para que no haya errores a la hora de exponer el servicio con flask
info --> https://github... | 31.918033 | 85 | 0.625578 |
259148bec81d808f337cab94d5e80017025d5d2d | 455 | py | Python | src/gui/migrations/0014_feedback_childprotection.py | digitalfabrik/ish-goalkeeper | a500c7a628ef66897941dadc0addb0be01658e02 | [
"MIT"
] | 12 | 2021-10-30T12:57:26.000Z | 2021-10-31T11:33:20.000Z | src/gui/migrations/0014_feedback_childprotection.py | digitalfabrik/ish-goalkeeper | a500c7a628ef66897941dadc0addb0be01658e02 | [
"MIT"
] | 53 | 2019-07-31T12:44:44.000Z | 2021-10-21T12:40:29.000Z | src/gui/migrations/0014_feedback_childprotection.py | digitalfabrik/ish-goalkeeper | a500c7a628ef66897941dadc0addb0be01658e02 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.1 on 2020-03-10 18:24
from django.db import migrations, models
| 23.947368 | 114 | 0.63956 |
2592664d08f4a0c9eb9bf2b57177c0908bfc0dd1 | 45,764 | py | Python | assignment/assignment2/test/ASTGenSuite.py | khoidohpc/ppl-course | 3bcff3eeeeebc24f0fc9e3f844779f439aa97544 | [
"MIT"
] | 2 | 2020-10-21T13:04:18.000Z | 2022-01-12T11:06:31.000Z | assignment/assignment2/test/ASTGenSuite.py | khoidohpc/ppl-course | 3bcff3eeeeebc24f0fc9e3f844779f439aa97544 | [
"MIT"
] | null | null | null | assignment/assignment2/test/ASTGenSuite.py | khoidohpc/ppl-course | 3bcff3eeeeebc24f0fc9e3f844779f439aa97544 | [
"MIT"
] | 1 | 2022-01-12T11:06:45.000Z | 2022-01-12T11:06:45.000Z | import unittest
from TestUtils import TestAST
from AST import * | 59.126615 | 991 | 0.558976 |
259322df87478be7b4ebcda05e307a4d2631a759 | 7,966 | py | Python | lib/reinteract/notebook_window.py | rschroll/reinteract | d74b679fed00c9eb43a1cd167bb6abd9e389da1a | [
"BSD-2-Clause"
] | 1 | 2015-11-05T06:50:03.000Z | 2015-11-05T06:50:03.000Z | lib/reinteract/notebook_window.py | rschroll/reinteract | d74b679fed00c9eb43a1cd167bb6abd9e389da1a | [
"BSD-2-Clause"
] | null | null | null | lib/reinteract/notebook_window.py | rschroll/reinteract | d74b679fed00c9eb43a1cd167bb6abd9e389da1a | [
"BSD-2-Clause"
] | null | null | null | # Copyright 2008-2009 Owen Taylor
#
# This file is part of Reinteract and distributed under the terms
# of the BSD license. See the file COPYING in the Reinteract
# distribution for full details.
#
########################################################################
import gtk
import os
from base_notebook_window ... | 36.709677 | 95 | 0.614863 |
2594fb6de6dffcce3372d066529fcf8255ec3b49 | 573 | py | Python | regulation/settings.py | cfpb/regulations-xml-parser | e3bcbd9025f6fb6fa9ef2671fb8ed061c8de3e88 | [
"CC0-1.0"
] | 4 | 2016-01-02T21:04:42.000Z | 2019-08-17T06:30:36.000Z | regulation/settings.py | DalavanCloud/regulations-xml-parser | e3bcbd9025f6fb6fa9ef2671fb8ed061c8de3e88 | [
"CC0-1.0"
] | 49 | 2016-01-25T15:19:04.000Z | 2017-12-06T20:02:09.000Z | regulation/settings.py | DalavanCloud/regulations-xml-parser | e3bcbd9025f6fb6fa9ef2671fb8ed061c8de3e88 | [
"CC0-1.0"
] | 9 | 2016-01-21T19:25:30.000Z | 2021-02-20T10:53:47.000Z | #!/usr/bin/env python
from __future__ import print_function
from __future__ import unicode_literals
import importlib
import os
import sys
# Try to load the settings module
try:
local_settings = importlib.import_module(
os.environ.get('REGML_SETTINGS_FILE', 'settings'))
globals().update(local_setti... | 27.285714 | 64 | 0.722513 |
2596f72f06a517f88b80e5187a646537bcd3ae06 | 16,968 | py | Python | src/ui/ui_send_payout_dlg.py | muteio/ghostnode-tool | c42868ed6c009c47482d23ebac0d101adbd8c103 | [
"MIT"
] | 1 | 2019-11-02T01:39:52.000Z | 2019-11-02T01:39:52.000Z | src/ui/ui_send_payout_dlg.py | NixPlatform/ghostnode-tool | c42868ed6c009c47482d23ebac0d101adbd8c103 | [
"MIT"
] | null | null | null | src/ui/ui_send_payout_dlg.py | NixPlatform/ghostnode-tool | c42868ed6c009c47482d23ebac0d101adbd8c103 | [
"MIT"
] | 1 | 2019-09-21T15:08:36.000Z | 2019-09-21T15:08:36.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'ui_send_payout_dlg.ui'
#
# Created by: PyQt5 UI code generator 5.9.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
if __name__ == "__main__":
import sys
app = QtWidgets.QApplic... | 61.701818 | 116 | 0.753713 |
25976939b96e834c2bfbe96de1759d0543a5294c | 254 | py | Python | server/src/models/embedded_models/method_step_embedded_model.py | minhman727/miao-nutrition-assistant | c0f999756ae1a03371975be03ec7b7470f4b39e2 | [
"MIT"
] | null | null | null | server/src/models/embedded_models/method_step_embedded_model.py | minhman727/miao-nutrition-assistant | c0f999756ae1a03371975be03ec7b7470f4b39e2 | [
"MIT"
] | null | null | null | server/src/models/embedded_models/method_step_embedded_model.py | minhman727/miao-nutrition-assistant | c0f999756ae1a03371975be03ec7b7470f4b39e2 | [
"MIT"
] | null | null | null | from mongoengine import * | 25.4 | 62 | 0.661417 |
25978d1f7d69811ce75ba04968a1787f942af8b3 | 1,579 | py | Python | silot/experiments/moving_mnist/silot_run.py | e2crawfo/silot | d49a41dde74db62d62bdd9ba5d35ff54c07fd9bc | [
"MIT"
] | 16 | 2019-11-27T18:25:55.000Z | 2021-05-28T06:15:13.000Z | silot/experiments/moving_mnist/silot_run.py | e2crawfo/silot | d49a41dde74db62d62bdd9ba5d35ff54c07fd9bc | [
"MIT"
] | 5 | 2020-08-03T16:17:53.000Z | 2022-02-09T23:38:55.000Z | silot/experiments/moving_mnist/silot_run.py | e2crawfo/silot | d49a41dde74db62d62bdd9ba5d35ff54c07fd9bc | [
"MIT"
] | 1 | 2020-11-20T10:37:57.000Z | 2020-11-20T10:37:57.000Z | from dps.hyper import run_experiment
from dps.utils import copy_update
from dps.tf.updater import DummyUpdater
from silot.run import basic_config, alg_configs, env_configs
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--max-digits', type=int, choices=[6, 12], required=True)
args, _ = parser.p... | 34.326087 | 124 | 0.718809 |
2597942237584a092a777b8ebc52564660ff2499 | 251 | py | Python | evo_mwc/__init__.py | mrazomej/evo_mwc | b69c800c5518d906cd2c65334c6feffdbab5acf1 | [
"MIT"
] | null | null | null | evo_mwc/__init__.py | mrazomej/evo_mwc | b69c800c5518d906cd2c65334c6feffdbab5acf1 | [
"MIT"
] | 2 | 2020-06-01T22:36:08.000Z | 2020-07-01T23:32:06.000Z | evo_mwc/__init__.py | mrazomej/evo_mwc | b69c800c5518d906cd2c65334c6feffdbab5acf1 | [
"MIT"
] | 1 | 2019-07-09T21:18:52.000Z | 2019-07-09T21:18:52.000Z | # -*- coding: utf-8 -*-
"""Top level package for evo_utils utilities"""
from . import viz
from . import fitderiv
from . import model
__author__ = """Manuel Razo"""
__email__ = """mrazomej {at} caltech.edu"""
__version__ = '0.0.1'
name = 'evo_mwc'
| 17.928571 | 47 | 0.661355 |
2597d104fd536046cfa0f78ca2aa1bd236dccb01 | 112 | py | Python | arclet/alconna/__main__.py | SocialSisterYi/Alconna | 3e1d986ca5486dfd3c7bd80118a75364ab6831b8 | [
"MIT"
] | null | null | null | arclet/alconna/__main__.py | SocialSisterYi/Alconna | 3e1d986ca5486dfd3c7bd80118a75364ab6831b8 | [
"MIT"
] | null | null | null | arclet/alconna/__main__.py | SocialSisterYi/Alconna | 3e1d986ca5486dfd3c7bd80118a75364ab6831b8 | [
"MIT"
] | null | null | null | """Alconna """
from arclet.alconna.builtin.commandline import main
if __name__ == "__main__":
main()
| 16 | 51 | 0.705357 |
2597ff84931dd28d221994ec4d847762df2128d6 | 2,427 | py | Python | profiles/viewsets.py | Hacksbr/resume | 2568bb1f4a75af9d72ed6f3013c9112b93001b43 | [
"MIT"
] | null | null | null | profiles/viewsets.py | Hacksbr/resume | 2568bb1f4a75af9d72ed6f3013c9112b93001b43 | [
"MIT"
] | 11 | 2020-10-25T04:11:08.000Z | 2021-10-03T05:38:11.000Z | profiles/viewsets.py | Hacksbr/resume-api | 2568bb1f4a75af9d72ed6f3013c9112b93001b43 | [
"MIT"
] | 1 | 2020-10-30T16:55:08.000Z | 2020-10-30T16:55:08.000Z | from django.contrib.auth import get_user_model
from rest_framework import viewsets, status, permissions
from rest_framework.response import Response
from profiles.models import Profile
from profiles.permissions import IsUserProfileOrAdmin
from profiles import serializers
User = get_user_model()
| 32.36 | 116 | 0.677379 |
259eedab428d052f5de5cef2f33e8a5144b57d54 | 1,180 | py | Python | setup.py | transientlunatic/gravitic | 3f818b5b52dafd8db0cef8f7da930996c84125be | [
"BSD-3-Clause"
] | 2 | 2021-04-12T10:38:58.000Z | 2021-04-12T13:53:16.000Z | setup.py | transientlunatic/gravitic | 3f818b5b52dafd8db0cef8f7da930996c84125be | [
"BSD-3-Clause"
] | null | null | null | setup.py | transientlunatic/gravitic | 3f818b5b52dafd8db0cef8f7da930996c84125be | [
"BSD-3-Clause"
] | null | null | null | from setuptools import setup
# with open('README.rst') as readme_file:
# readme = readme_file.read()
# with open('HISTORY.rst') as history_file:
# history = history_file.read()
with open("requirements.txt") as requires_file:
requirements = requires_file.read().split("\n")
requirements = [requirement for... | 28.780488 | 88 | 0.683051 |
25a0391cf57456757d52425e8939034685150c52 | 6,278 | py | Python | hal/vanille_hal.py | ThotAlion/vanille | b5b43fce39110b44f11f128e123611c988ac7bfc | [
"MIT"
] | 1 | 2021-04-03T09:36:40.000Z | 2021-04-03T09:36:40.000Z | hal/vanille_hal.py | ThotAlion/vanille_hal | b5b43fce39110b44f11f128e123611c988ac7bfc | [
"MIT"
] | null | null | null | hal/vanille_hal.py | ThotAlion/vanille_hal | b5b43fce39110b44f11f128e123611c988ac7bfc | [
"MIT"
] | null | null | null | import rclpy
import json,numpy
from numpy import clip
from rclpy.node import Node
from std_msgs.msg import Float64MultiArray
from sensor_msgs.msg import JointState
from diagnostic_msgs.msg import DiagnosticStatus, KeyValue
import can
from tinymovr import Tinymovr
from tinymovr.iface.can import CAN
from tinymovr.units... | 41.03268 | 123 | 0.600988 |
25a13c41bb4dc3ac0459cd775b2eec9b971b28e3 | 383 | py | Python | pretrained-model/speaker-embedding/vggvox/constants.py | dtx525942103/malaya-speech | 212c4e890d0cbcbbca0037c89a698b68b05db393 | [
"MIT"
] | null | null | null | pretrained-model/speaker-embedding/vggvox/constants.py | dtx525942103/malaya-speech | 212c4e890d0cbcbbca0037c89a698b68b05db393 | [
"MIT"
] | null | null | null | pretrained-model/speaker-embedding/vggvox/constants.py | dtx525942103/malaya-speech | 212c4e890d0cbcbbca0037c89a698b68b05db393 | [
"MIT"
] | 1 | 2021-08-19T02:34:41.000Z | 2021-08-19T02:34:41.000Z | # Signal processing
SAMPLE_RATE = 16000
PREEMPHASIS_ALPHA = 0.97
FRAME_LEN = 0.025
FRAME_STEP = 0.01
NUM_FFT = 512
BUCKET_STEP = 1
MAX_SEC = 10
# Model
WEIGHTS_FILE = "data/model/weights.h5"
COST_METRIC = "cosine" # euclidean or cosine
INPUT_SHAPE=(NUM_FFT,None,1)
# IO
ENROLL_LIST_FILE = "cfg/enroll_list.csv"
TEST_L... | 20.157895 | 45 | 0.754569 |
25a3cd2e397d3a4fa1405f0e90b2284ec1f6c787 | 6,351 | py | Python | pyramid/tests/test_scripts/test_proutes.py | danielpronych/pyramid-doxygen | ad95a8c151c2c4e029e03aed2feda2993380f36f | [
"BSD-2-Clause"
] | null | null | null | pyramid/tests/test_scripts/test_proutes.py | danielpronych/pyramid-doxygen | ad95a8c151c2c4e029e03aed2feda2993380f36f | [
"BSD-2-Clause"
] | null | null | null | pyramid/tests/test_scripts/test_proutes.py | danielpronych/pyramid-doxygen | ad95a8c151c2c4e029e03aed2feda2993380f36f | [
"BSD-2-Clause"
] | null | null | null | import unittest
from pyramid.tests.test_scripts import dummy
| 36.5 | 72 | 0.600063 |
25a4112bd4c2cf802cc07a430e00d86257820ce8 | 2,120 | py | Python | pystatreduce/doc/plot/plot_quadratic-distribution_overlay.py | OptimalDesignLab/pyStatReduce | 9ea128409b91dd582e574e2e1cc153572b6c60a4 | [
"MIT"
] | null | null | null | pystatreduce/doc/plot/plot_quadratic-distribution_overlay.py | OptimalDesignLab/pyStatReduce | 9ea128409b91dd582e574e2e1cc153572b6c60a4 | [
"MIT"
] | null | null | null | pystatreduce/doc/plot/plot_quadratic-distribution_overlay.py | OptimalDesignLab/pyStatReduce | 9ea128409b91dd582e574e2e1cc153572b6c60a4 | [
"MIT"
] | null | null | null | # plot normal quadratic distribution overlay
# Plots the effects of theta in the 2D quadratic by showing the normal
# distribution on top of the regular quadratic
import numpy as np
from mpl_toolkits import mplot3d
import matplotlib
import matplotlib.pyplot as plt
import os
import sys
import errno
sys.path.insert(0, ... | 31.176471 | 104 | 0.718868 |
25a41d20123f1a8a57294e429d62e5549539156f | 518 | py | Python | utils/sqlite.py | ztytotoro/python-scripts | a337abd6c2705483d3167f611d671a2b7ee517f7 | [
"MIT"
] | null | null | null | utils/sqlite.py | ztytotoro/python-scripts | a337abd6c2705483d3167f611d671a2b7ee517f7 | [
"MIT"
] | null | null | null | utils/sqlite.py | ztytotoro/python-scripts | a337abd6c2705483d3167f611d671a2b7ee517f7 | [
"MIT"
] | null | null | null | # :
from sqlalchemy import Column, String, create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.ext.declarative import declarative_base
# :
Base = declarative_base()
# Project:
# :
engine = create_engine(
'mysql+mysqlconnector://root:password@localhost:3306/test')
# DBSession:
DBSession = sess... | 21.583333 | 63 | 0.737452 |
25a44b7c5e0019b3e4d2a53a51bc6e03d4f6513c | 4,753 | py | Python | cracking-the-coding-interview/1-chapter3.py | tranquan/coding-dojo | 538a1bdab2bae2df2a68ca2b4fb4ad11070c6049 | [
"MIT"
] | 1 | 2019-02-24T18:51:25.000Z | 2019-02-24T18:51:25.000Z | cracking-the-coding-interview/1-chapter3.py | tranquan/coding-dojo | 538a1bdab2bae2df2a68ca2b4fb4ad11070c6049 | [
"MIT"
] | null | null | null | cracking-the-coding-interview/1-chapter3.py | tranquan/coding-dojo | 538a1bdab2bae2df2a68ca2b4fb4ad11070c6049 | [
"MIT"
] | 1 | 2020-07-02T13:50:21.000Z | 2020-07-02T13:50:21.000Z | import os
import sys
import math
# 3.1 using single array to implement 3 stacks
# 1) - using 3 indexes to for each stack pointers, and 3 size to set maximum of stack
# 2) - using 3 indexes, 1 begin at the first index and increase, 1 begin at the bottom and decrease, 1 at the bottom and re-balanced every time
# Test
... | 21.903226 | 143 | 0.627814 |
25a7128988ab4fbad08c8732aefc9716accd10af | 531 | py | Python | Network-communicator-client.py | TomFang1/Network-Communicator | 8036c210412621ec3b253a446238ba6bf5601a9b | [
"MIT"
] | null | null | null | Network-communicator-client.py | TomFang1/Network-Communicator | 8036c210412621ec3b253a446238ba6bf5601a9b | [
"MIT"
] | null | null | null | Network-communicator-client.py | TomFang1/Network-Communicator | 8036c210412621ec3b253a446238ba6bf5601a9b | [
"MIT"
] | null | null | null | import socket
HOST = ""
PORT = ""
address()
| 22.125 | 71 | 0.574388 |
25a949c22437a642b924c26eebc537b68bb644d1 | 1,789 | py | Python | pipelines/head-pose-dataset-pipeline/data-chunk-spliter/main.py | tonouchi510/kfp-project | 67b78ae53cc3de594b8254999a4f553a8d5cec27 | [
"MIT"
] | null | null | null | pipelines/head-pose-dataset-pipeline/data-chunk-spliter/main.py | tonouchi510/kfp-project | 67b78ae53cc3de594b8254999a4f553a8d5cec27 | [
"MIT"
] | null | null | null | pipelines/head-pose-dataset-pipeline/data-chunk-spliter/main.py | tonouchi510/kfp-project | 67b78ae53cc3de594b8254999a4f553a8d5cec27 | [
"MIT"
] | null | null | null | import json
import hashlib
from absl import app
from absl import flags
from google.cloud import storage
FLAGS = flags.FLAGS
flags.DEFINE_string(
"pipeline", None,
"Name of pipeline")
flags.DEFINE_string(
"job_id", "test",
"ID for job management.")
flags.DEFINE_string(
"bucket_name", "",
"GCS ... | 24.847222 | 75 | 0.608161 |
25ab42f8ae212d4baa50016ccf09ca3732826f64 | 10,236 | py | Python | book_parser_alternate_approach.py | shankze/python_book_parser | 66a93466c0978f707276b088721b3e65ae5c863c | [
"MIT"
] | null | null | null | book_parser_alternate_approach.py | shankze/python_book_parser | 66a93466c0978f707276b088721b3e65ae5c863c | [
"MIT"
] | null | null | null | book_parser_alternate_approach.py | shankze/python_book_parser | 66a93466c0978f707276b088721b3e65ae5c863c | [
"MIT"
] | null | null | null | import re
import _pickle as cPickle
import logging
import argparse
#This script is not dependant on table of contents. It detects books and chapters based their titles
# Dictionary containing key and regex pattern to match the keys
pattern_dict = {
'blank_line': re.compile(r'^\s*$'),
'book_number': re.compile... | 45.493333 | 127 | 0.57288 |
25aeac09d273a2e17e46546268aae95b302c15ff | 4,819 | py | Python | src/audio/extract_audio.py | usc-sail/tiles-2019-dataset | c91c2da3a282757f67981c5e10aa93faab7b414b | [
"MIT"
] | null | null | null | src/audio/extract_audio.py | usc-sail/tiles-2019-dataset | c91c2da3a282757f67981c5e10aa93faab7b414b | [
"MIT"
] | null | null | null | src/audio/extract_audio.py | usc-sail/tiles-2019-dataset | c91c2da3a282757f67981c5e10aa93faab7b414b | [
"MIT"
] | null | null | null | from __future__ import print_function
from fileinput import filename
import os
import pandas as pd
import pdb
from datetime import timedelta
import datetime
import shutil
date_time_format = '%Y-%m-%dT%H:%M:%S.%f'
date_format = '%Y-%m-%d'
if __name__ == '__main__':
# Read data root path
root_dir = ... | 45.037383 | 155 | 0.646192 |
25afe3c2688bb5a8a98ef07920c42001d054b61e | 6,737 | py | Python | Python_files/extract_tmc_links.py | jingzbu/InverseVITraffic | c0d33d91bdd3c014147d58866c1a2b99fb8a9608 | [
"MIT"
] | null | null | null | Python_files/extract_tmc_links.py | jingzbu/InverseVITraffic | c0d33d91bdd3c014147d58866c1a2b99fb8a9608 | [
"MIT"
] | null | null | null | Python_files/extract_tmc_links.py | jingzbu/InverseVITraffic | c0d33d91bdd3c014147d58866c1a2b99fb8a9608 | [
"MIT"
] | null | null | null | from util_data_storage_and_load import *
import openpyxl
data_folder = '/home/jzh/Dropbox/Research/\
Data-driven_estimation_inverse_optimization/INRIX/Raw_data/'
########## extract tmc info for link_1
# load attribute table link_1 data
wb_link_1 = openpyxl.load_workbook(data_folder + 'filtered_INRIX_attribute_table... | 34.372449 | 96 | 0.77824 |
25b0b90b288bd6174770a4217e3b26a9e55a4cbb | 26,777 | py | Python | python/analysis/fp_fit/fp_file.py | ACTCollaboration/moby2 | b0f6bd6add7170999eb964d18f16d795520426e9 | [
"BSD-2-Clause"
] | 3 | 2020-06-23T15:59:37.000Z | 2022-03-29T16:04:35.000Z | python/analysis/fp_fit/fp_file.py | ACTCollaboration/moby2 | b0f6bd6add7170999eb964d18f16d795520426e9 | [
"BSD-2-Clause"
] | 1 | 2020-04-08T15:10:46.000Z | 2020-04-08T15:10:46.000Z | python/analysis/fp_fit/fp_file.py | ACTCollaboration/moby2 | b0f6bd6add7170999eb964d18f16d795520426e9 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/python
from __future__ import print_function
from __future__ import absolute_import
from past.builtins import basestring
import sys
import numpy as np
import moby2
trace = moby2.util.log.logger.trace
# transitional...
_fp_formats = {
'det_uid': '%4d',
'ok': '%1d',
'x0': '%9.6f',
'x0_err':... | 36.283198 | 137 | 0.51182 |
25b1a19eb6d8e239df7d680bb083dcaf01ffaddb | 2,864 | py | Python | apps/exporter/models.py | mjj55409/cpq-exporter | ae46c1580a1c7d228a352a88a61164d9b3c2490c | [
"MIT"
] | null | null | null | apps/exporter/models.py | mjj55409/cpq-exporter | ae46c1580a1c7d228a352a88a61164d9b3c2490c | [
"MIT"
] | null | null | null | apps/exporter/models.py | mjj55409/cpq-exporter | ae46c1580a1c7d228a352a88a61164d9b3c2490c | [
"MIT"
] | null | null | null | from django.conf import settings
from django.db import models
# from django.template.defaultfilters import slugify
from django.utils.translation import ugettext_lazy as _
| 30.795699 | 95 | 0.706355 |
25b1ffdcb5ac20b95e9d2af8defd2ffc485591b9 | 43 | py | Python | export_as_bookmark/migrations/__init__.py | 10sr/webtools | 8dd7fecf5d3df9094f32d044f11e983ab3095287 | [
"Apache-2.0"
] | null | null | null | export_as_bookmark/migrations/__init__.py | 10sr/webtools | 8dd7fecf5d3df9094f32d044f11e983ab3095287 | [
"Apache-2.0"
] | 111 | 2019-05-15T05:20:49.000Z | 2021-10-16T14:43:34.000Z | export_as_bookmark/migrations/__init__.py | 10sr/webtools | 8dd7fecf5d3df9094f32d044f11e983ab3095287 | [
"Apache-2.0"
] | null | null | null | """export_as_bookmark migration script."""
| 21.5 | 42 | 0.767442 |
25b338ff4a0aea87eb7ecc2cc0784ffa15f6582b | 1,915 | py | Python | management/utils.py | jonathanverner/brython-jinja2 | cec6e16de1750203a858d0acf590f230fc3bf848 | [
"BSD-3-Clause"
] | 2 | 2020-09-13T17:51:55.000Z | 2020-11-25T18:47:12.000Z | management/utils.py | jonathanverner/brython-jinja2 | cec6e16de1750203a858d0acf590f230fc3bf848 | [
"BSD-3-Clause"
] | 2 | 2020-11-25T19:18:15.000Z | 2021-06-01T21:48:12.000Z | management/utils.py | jonathanverner/brython-jinja2 | cec6e16de1750203a858d0acf590f230fc3bf848 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
from plumbum import cli
| 32.457627 | 74 | 0.461097 |
25b3746fa875224a25a61f388c3fd0485d927148 | 4,523 | py | Python | ml/gan_test.py | Ryoich/python_zero | fe4a5fd8b11c8c059d82b797cd1668f96d54e541 | [
"CC-BY-4.0"
] | 203 | 2018-12-14T10:16:33.000Z | 2022-03-10T07:23:34.000Z | ml/gan_test.py | Ryoich/python_zero | fe4a5fd8b11c8c059d82b797cd1668f96d54e541 | [
"CC-BY-4.0"
] | 39 | 2019-06-21T12:28:03.000Z | 2022-01-17T10:41:53.000Z | ml/gan_test.py | Ryoich/python_zero | fe4a5fd8b11c8c059d82b797cd1668f96d54e541 | [
"CC-BY-4.0"
] | 29 | 2018-12-30T06:48:59.000Z | 2022-03-10T07:43:42.000Z | import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
tf.logging.set_verbosity(tf.logging.ERROR)
#filename = "mnist.tfrecord"
#filename = "hiragana.tfrecord"
# run_gan(filename)
| 37.07377 | 79 | 0.666372 |
25b3918a371821cdc9c995f47c968bb1c9ab06ab | 6,312 | py | Python | src/forms.py | Afsharov/observer-frontend | bd93fd1d7fa1a63ca650640995e1f10b0c99df44 | [
"BSD-3-Clause"
] | null | null | null | src/forms.py | Afsharov/observer-frontend | bd93fd1d7fa1a63ca650640995e1f10b0c99df44 | [
"BSD-3-Clause"
] | null | null | null | src/forms.py | Afsharov/observer-frontend | bd93fd1d7fa1a63ca650640995e1f10b0c99df44 | [
"BSD-3-Clause"
] | 1 | 2021-04-23T08:25:55.000Z | 2021-04-23T08:25:55.000Z | """This module contains all forms used by the Observer-Hive frontend.
"""
import os
import json
import logging
from bcrypt import checkpw
from flask_wtf import FlaskForm
from flask_login import current_user
from wtforms import StringField, PasswordField
from wtforms.validators import InputRequired, EqualTo, Length
lo... | 35.460674 | 106 | 0.53628 |
25b3c69e50bea2e1fc0a8c23aa497075c8c18426 | 7,151 | py | Python | lido/validate_keys.py | lidofinance/lido-python | 6cf74b17c47e54cfead891d445c6071c25d0478d | [
"MIT"
] | 3 | 2021-02-04T11:35:48.000Z | 2021-09-12T22:19:13.000Z | lido/validate_keys.py | lidofinance/lido-python | 6cf74b17c47e54cfead891d445c6071c25d0478d | [
"MIT"
] | 2 | 2021-08-30T08:35:04.000Z | 2021-09-02T17:17:08.000Z | lido/validate_keys.py | lidofinance/lido-python | 6cf74b17c47e54cfead891d445c6071c25d0478d | [
"MIT"
] | 3 | 2021-05-24T19:08:06.000Z | 2021-09-12T22:19:20.000Z | import typing as t
from py_ecc.bls import G2ProofOfPossession as bls
from lido.eth2deposit.utils.ssz import (
DepositMessage,
compute_deposit_domain,
compute_signing_root,
)
from lido.eth2deposit.settings import get_chain_setting
from lido.constants.chains import get_chain_name, get_eth2_chain_name
from li... | 35.577114 | 102 | 0.669277 |