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f72c7eba9adcee72dd6bb67f5e168999469e292c | 1,058 | py | Python | XXBDailyFresh/apps/user/urls.py | sixTiger/XXBDailyFresh | 5c6976eff8e073f79b50e7829e10332ccd8df43d | [
"MIT"
] | null | null | null | XXBDailyFresh/apps/user/urls.py | sixTiger/XXBDailyFresh | 5c6976eff8e073f79b50e7829e10332ccd8df43d | [
"MIT"
] | null | null | null | XXBDailyFresh/apps/user/urls.py | sixTiger/XXBDailyFresh | 5c6976eff8e073f79b50e7829e10332ccd8df43d | [
"MIT"
] | null | null | null | """XXBDailyFresh URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class... | 39.185185 | 81 | 0.680529 |
from django.urls import path
from apps.user.views import RegisterView
urlpatterns = [
path('register/', RegisterView.as_view(), name='register'), ] | true | true |
f72c7fa8536014c7a70bc5bf40a892ab8804afca | 4,820 | py | Python | Tsukihime/nscript_parser.py | Samyuth/LomandoCrawler | 2d6bc7bd79678b78ac7c30e88b72127134e99b91 | [
"MIT"
] | null | null | null | Tsukihime/nscript_parser.py | Samyuth/LomandoCrawler | 2d6bc7bd79678b78ac7c30e88b72127134e99b91 | [
"MIT"
] | 1 | 2022-03-31T09:40:48.000Z | 2022-03-31T09:44:48.000Z | Tsukihime/nscript_parser.py | Samyuth/LomandoCrawler | 2d6bc7bd79678b78ac7c30e88b72127134e99b91 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Mar 16 02:05:23 2022
@author: Sagi
"""
'''
Sample choice node text:
;-BLOCK-------------------------------------------------------------------------
*f20 # Label
gosub *regard_update
!sd
if %sceneskip==1 && %1020==1 skip 4
gosub *s20
mov %1020,1
skip 9
`You have already vie... | 27.542857 | 94 | 0.527386 |
import re
from Graph import *
class TextNode():
def __init__(self, label=None, text=None, children=None):
if label is not None:
self.label = label
else:
self.label = None
if text is not None:
self.text = text
else:
self.text = ""
... | true | true |
f72c80155df71399c41c13f3793341aca06db318 | 2,677 | py | Python | plugins/cylance_protect/unit_test/test_update_agent.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 46 | 2019-06-05T20:47:58.000Z | 2022-03-29T10:18:01.000Z | plugins/cylance_protect/unit_test/test_update_agent.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 386 | 2019-06-07T20:20:39.000Z | 2022-03-30T17:35:01.000Z | plugins/cylance_protect/unit_test/test_update_agent.py | lukaszlaszuk/insightconnect-plugins | 8c6ce323bfbb12c55f8b5a9c08975d25eb9f8892 | [
"MIT"
] | 43 | 2019-07-09T14:13:58.000Z | 2022-03-28T12:04:46.000Z | import sys
import os
sys.path.append(os.path.abspath("../"))
from unittest import TestCase
from icon_cylance_protect.connection.connection import Connection
from icon_cylance_protect.actions.update_agent import UpdateAgent
import json
import logging
class TestUpdateAgent(TestCase):
def test_integration_update_a... | 36.671233 | 116 | 0.668285 | import sys
import os
sys.path.append(os.path.abspath("../"))
from unittest import TestCase
from icon_cylance_protect.connection.connection import Connection
from icon_cylance_protect.actions.update_agent import UpdateAgent
import json
import logging
class TestUpdateAgent(TestCase):
def test_integration_update_a... | true | true |
f72c80b9bc4510e5476205c3adf1bfd5dea678af | 1,931 | py | Python | model-optimizer/extensions/front/onnx/detectionoutput_ext.py | Andruxin52rus/openvino | d824e371fe7dffb90e6d3d58e4e34adecfce4606 | [
"Apache-2.0"
] | 2 | 2020-11-18T14:14:06.000Z | 2020-11-28T04:55:57.000Z | model-optimizer/extensions/front/onnx/detectionoutput_ext.py | Andruxin52rus/openvino | d824e371fe7dffb90e6d3d58e4e34adecfce4606 | [
"Apache-2.0"
] | 30 | 2020-11-13T11:44:07.000Z | 2022-02-21T13:03:16.000Z | model-optimizer/extensions/front/onnx/detectionoutput_ext.py | mmakridi/openvino | 769bb7709597c14debdaa356dd60c5a78bdfa97e | [
"Apache-2.0"
] | 3 | 2021-03-09T08:27:29.000Z | 2021-04-07T04:58:54.000Z | """
Copyright (C) 2018-2020 Intel 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 i... | 43.886364 | 109 | 0.684619 |
from math import log
import numpy as np
from extensions.ops.detectionoutput_onnx import ExperimentalDetectronDetectionOutput
from mo.front.extractor import FrontExtractorOp
from mo.front.onnx.extractors.utils import onnx_attr
class ExperimentalDetectronDetectionOutputFrontExtractor(FrontExtractorOp):
op = 'Exp... | true | true |
f72c811a9b903e14fbd5d11e5e45b9449c6237b3 | 2,159 | py | Python | test/chemistry/test_driver_gaussian_extra.py | hushaohan/aqua | 8512bc6ce246a8b3cca1e5edb1703b6885aa7c5d | [
"Apache-2.0"
] | 2 | 2020-06-29T16:08:12.000Z | 2020-08-07T22:42:13.000Z | test/chemistry/test_driver_gaussian_extra.py | hushaohan/aqua | 8512bc6ce246a8b3cca1e5edb1703b6885aa7c5d | [
"Apache-2.0"
] | null | null | null | test/chemistry/test_driver_gaussian_extra.py | hushaohan/aqua | 8512bc6ce246a8b3cca1e5edb1703b6885aa7c5d | [
"Apache-2.0"
] | 1 | 2022-01-25T07:09:10.000Z | 2022-01-25T07:09:10.000Z | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modif... | 36.59322 | 85 | 0.672534 |
import unittest
from test.chemistry import QiskitChemistryTestCase
from qiskit.chemistry.drivers import GaussianDriver
def _check_valid():
pass
class TestDriverGaussianExtra(QiskitChemistryTestCase):
def setUp(self):
super().setUp()
self.good_check = GaussianDriver._check_valid
... | true | true |
f72c82f4acdaefe35bcc5d195dbe520974fda99d | 1,269 | py | Python | qiskit_nature/algorithms/excited_states_solvers/__init__.py | divshacker/qiskit-nature | 08f6dcec5e4ac8c08f5b84e764ee78cc3d12facb | [
"Apache-2.0"
] | 132 | 2021-01-28T14:51:11.000Z | 2022-03-25T21:10:47.000Z | qiskit_nature/algorithms/excited_states_solvers/__init__.py | divshacker/qiskit-nature | 08f6dcec5e4ac8c08f5b84e764ee78cc3d12facb | [
"Apache-2.0"
] | 449 | 2021-01-28T19:57:43.000Z | 2022-03-31T17:01:50.000Z | qiskit_nature/algorithms/excited_states_solvers/__init__.py | divshacker/qiskit-nature | 08f6dcec5e4ac8c08f5b84e764ee78cc3d12facb | [
"Apache-2.0"
] | 109 | 2021-01-28T13:17:46.000Z | 2022-03-30T23:53:39.000Z | # This code is part of Qiskit.
#
# (C) Copyright IBM 2020, 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivat... | 28.840909 | 89 | 0.711584 |
from .excited_states_solver import ExcitedStatesSolver
from .qeom import QEOM
from .eigensolver_factories import EigensolverFactory, NumPyEigensolverFactory
from .excited_states_eigensolver import ExcitedStatesEigensolver
__all__ = [
"ExcitedStatesSolver",
"ExcitedStatesEigensolver",
"EigensolverFactory"... | true | true |
f72c838e66c47527c0a178012ed8acbdbcfe18e4 | 827 | gyp | Python | ui/aura_extra/aura_extra.gyp | hefen1/chromium | 52f0b6830e000ca7c5e9aa19488af85be792cc88 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | ui/aura_extra/aura_extra.gyp | hefen1/chromium | 52f0b6830e000ca7c5e9aa19488af85be792cc88 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | ui/aura_extra/aura_extra.gyp | hefen1/chromium | 52f0b6830e000ca7c5e9aa19488af85be792cc88 | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 2 | 2020-04-04T13:34:56.000Z | 2020-11-04T07:17:52.000Z | # Copyright 2015 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'variables': {
'chromium_code': 1,
},
'targets': [
{
# GN version: //ui/aura_extra
'target_name': 'aura_extra',
'type': '<(... | 24.323529 | 72 | 0.53688 |
{
'variables': {
'chromium_code': 1,
},
'targets': [
{
'target_name': 'aura_extra',
'type': '<(component)',
'dependencies': [
'../../base/base.gyp:base',
'../../skia/skia.gyp:skia',
'../aura/aura.gyp:aura',
'../base/ui_base.gyp:ui_base',
'..... | true | true |
f72c844451481add20eff334fb82624c5d7efbe7 | 1,662 | py | Python | lab-05-1-logistic_regression.py | KANG91/Deep_Learning | e3e9de769ab835215d0ebeee79ff869afbe64ebf | [
"MIT"
] | null | null | null | lab-05-1-logistic_regression.py | KANG91/Deep_Learning | e3e9de769ab835215d0ebeee79ff869afbe64ebf | [
"MIT"
] | null | null | null | lab-05-1-logistic_regression.py | KANG91/Deep_Learning | e3e9de769ab835215d0ebeee79ff869afbe64ebf | [
"MIT"
] | null | null | null | # Lab 5 Logistic Regression Classifier
import tensorflow as tf
tf.set_random_seed(777) # for reproducibility
x_data = [[1, 2], [2, 3], [3, 1], [4, 3], [5, 3], [6, 2]]
y_data = [[0], [0], [0], [1], [1], [1]]
# placeholders for a tensor that will be always fed.
X = tf.placeholder(tf.float32, shape=[None, 2])
Y = tf.pl... | 28.169492 | 76 | 0.628159 | import tensorflow as tf
tf.set_random_seed(777)
x_data = [[1, 2], [2, 3], [3, 1], [4, 3], [5, 3], [6, 2]]
y_data = [[0], [0], [0], [1], [1], [1]]
X = tf.placeholder(tf.float32, shape=[None, 2])
Y = tf.placeholder(tf.float32, shape=[None, 1])
W = tf.Variable(tf.random_normal([2, 1]), name='weight')
b = tf.Variable(t... | true | true |
f72c8477a6936f3991993793141885a0bb21af12 | 4,436 | py | Python | tests/unit/models/physics/MeniscusTest.py | edgargmartinez/OpenPNM | c68745993b3e9895f53938164a9cf6305500748e | [
"MIT"
] | 3 | 2019-07-05T22:07:21.000Z | 2019-07-05T22:07:30.000Z | tests/unit/models/physics/MeniscusTest.py | edgargmartinez/OpenPNM | c68745993b3e9895f53938164a9cf6305500748e | [
"MIT"
] | null | null | null | tests/unit/models/physics/MeniscusTest.py | edgargmartinez/OpenPNM | c68745993b3e9895f53938164a9cf6305500748e | [
"MIT"
] | null | null | null | import openpnm as op
import openpnm.models.physics as pm
import scipy as sp
class MeniscusTest:
def setup_class(self):
sp.random.seed(1)
self.net = op.network.Cubic(shape=[5, 1, 5], spacing=5e-5)
self.geo = op.geometry.StickAndBall(network=self.net,
... | 37.277311 | 72 | 0.511046 | import openpnm as op
import openpnm.models.physics as pm
import scipy as sp
class MeniscusTest:
def setup_class(self):
sp.random.seed(1)
self.net = op.network.Cubic(shape=[5, 1, 5], spacing=5e-5)
self.geo = op.geometry.StickAndBall(network=self.net,
... | true | true |
f72c85576b8389695f555dc9f2032aaaf2f1f2df | 19,881 | py | Python | plugins/modules/oci_network_drg.py | LaudateCorpus1/oci-ansible-collection | 2b1cd87b4d652a97c1ca752cfc4fdc4bdb37a7e7 | [
"Apache-2.0"
] | null | null | null | plugins/modules/oci_network_drg.py | LaudateCorpus1/oci-ansible-collection | 2b1cd87b4d652a97c1ca752cfc4fdc4bdb37a7e7 | [
"Apache-2.0"
] | null | null | null | plugins/modules/oci_network_drg.py | LaudateCorpus1/oci-ansible-collection | 2b1cd87b4d652a97c1ca752cfc4fdc4bdb37a7e7 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Copyright (c) 2020, 2022 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for d... | 41.076446 | 160 | 0.632866 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
"metadata_version": "1.1",
"status": ["preview"],
"supported_by": "community",
}
DOCUMENTATION = """
---
module: oci_network_drg
short_description: Manage a Drg resource in Oracle Cloud Infrastruc... | true | true |
f72c8559dfd7a6014d9c69e946707586ad068801 | 2,817 | py | Python | src/dashboard/pages/visualization/visualization.py | ddlatumalea/disease_and_life | aa8c84fdd4a0b41bc0ee275538ac70a362eb26ba | [
"Apache-2.0"
] | null | null | null | src/dashboard/pages/visualization/visualization.py | ddlatumalea/disease_and_life | aa8c84fdd4a0b41bc0ee275538ac70a362eb26ba | [
"Apache-2.0"
] | null | null | null | src/dashboard/pages/visualization/visualization.py | ddlatumalea/disease_and_life | aa8c84fdd4a0b41bc0ee275538ac70a362eb26ba | [
"Apache-2.0"
] | null | null | null | from pathlib import Path
import panel as pn
import pandas as pd
import plotly.express as px
from models.pages import Page
from models.utils.paths import get_prepared_data_path, get_standardized_data_file
from dashboard.widgets import heatmap
PREPARED_DATA_DIR = get_prepared_data_path()
PREPARED_DATA_FILE = get_stand... | 32.011364 | 111 | 0.624778 | from pathlib import Path
import panel as pn
import pandas as pd
import plotly.express as px
from models.pages import Page
from models.utils.paths import get_prepared_data_path, get_standardized_data_file
from dashboard.widgets import heatmap
PREPARED_DATA_DIR = get_prepared_data_path()
PREPARED_DATA_FILE = get_stand... | true | true |
f72c85a0942c0540d2abee2d9180bd484b5864a7 | 6,141 | py | Python | main.py | akashrchandran/pokeowo | 0b2621494ef56f350239817546b843814fe3448e | [
"MIT"
] | null | null | null | main.py | akashrchandran/pokeowo | 0b2621494ef56f350239817546b843814fe3448e | [
"MIT"
] | null | null | null | main.py | akashrchandran/pokeowo | 0b2621494ef56f350239817546b843814fe3448e | [
"MIT"
] | null | null | null | import datetime
import json
import multiprocessing
import os
import random
import re
import time
import discum
version = 'v0.01'
config_path = 'data/config.json'
logo = f'''
###### ### ### ## ####### ### ## ## ###
## ## ## ## ## ## ## ## ## ## ## ## ## ##
## ## ## ... | 37.218182 | 96 | 0.485752 | import datetime
import json
import multiprocessing
import os
import random
import re
import time
import discum
version = 'v0.01'
config_path = 'data/config.json'
logo = f'''
###### ### ### ## ####### ### ## ## ###
## ## ## ## ## ## ## ## ## ## ## ## ## ##
## ## ## ... | true | true |
f72c86f6141b9e5ce714030b5766cf7cff25194c | 1,327 | py | Python | isolated_functions.py | wonabru/chainnet | f8ec1e2b580af837cba3322ffe69b95156b1b9a1 | [
"MIT"
] | 5 | 2019-04-20T18:54:55.000Z | 2019-08-23T09:17:20.000Z | isolated_functions.py | wonabru/chainnet | f8ec1e2b580af837cba3322ffe69b95156b1b9a1 | [
"MIT"
] | null | null | null | isolated_functions.py | wonabru/chainnet | f8ec1e2b580af837cba3322ffe69b95156b1b9a1 | [
"MIT"
] | null | null | null | import ast
import re
import pickle
from Crypto.PublicKey import RSA
from base64 import b64decode,b64encode
from tkinter import messagebox
def str2obj(s):
return ast.literal_eval(s.replace('true', 'True').replace('false', 'False'))
def trim_name(name):
return name.replace('@','').replace('#','')
def remove_sp... | 21.063492 | 117 | 0.679729 | import ast
import re
import pickle
from Crypto.PublicKey import RSA
from base64 import b64decode,b64encode
from tkinter import messagebox
def str2obj(s):
return ast.literal_eval(s.replace('true', 'True').replace('false', 'False'))
def trim_name(name):
return name.replace('@','').replace('#','')
def remove_sp... | true | true |
f72c87804c39b074934faddfa6a15a81e1a36cb8 | 4,587 | py | Python | robot/hsin_agent.py | kanokkorn/watering_robot | b39fed532519e2b89a9f1ae1a3d1b72bb550cc1b | [
"MIT"
] | 5 | 2020-04-01T13:55:12.000Z | 2022-03-04T03:32:25.000Z | robot/hsin_agent.py | kanokkorn/watering_robot | b39fed532519e2b89a9f1ae1a3d1b72bb550cc1b | [
"MIT"
] | 7 | 2019-12-21T10:26:40.000Z | 2021-06-25T15:15:05.000Z | robot/hsin_agent.py | kanokkorn/watering_robot | b39fed532519e2b89a9f1ae1a3d1b72bb550cc1b | [
"MIT"
] | 1 | 2020-06-03T07:41:21.000Z | 2020-06-03T07:41:21.000Z | # import modules
from gps3 import gps3
import serial
import math
import time
import csv
import os
# setup gps socket
ser = serial.Serial("/dev/ttyUSB0", 9600)
gps_socket = gps3.GPSDSocket()
data_stream = gps3.DataStream()
gps_socket.connect()
gps_socket.watch()
# read csv files
def track():
# prefix parameter
... | 36.404762 | 105 | 0.419228 | from gps3 import gps3
import serial
import math
import time
import csv
import os
ser = serial.Serial("/dev/ttyUSB0", 9600)
gps_socket = gps3.GPSDSocket()
data_stream = gps3.DataStream()
gps_socket.connect()
gps_socket.watch()
def track():
distance = 10
earth_radius = 6371e3
k = 1
with open("rob... | true | true |
f72c8854af948f34376eadc837477a9b431ff2c9 | 2,138 | py | Python | app/core/radiofrequency/__init__.py | FHellmann/MLWTF | 582c3505d638907a848d5a6c739ee99981300f17 | [
"Apache-2.0"
] | null | null | null | app/core/radiofrequency/__init__.py | FHellmann/MLWTF | 582c3505d638907a848d5a6c739ee99981300f17 | [
"Apache-2.0"
] | null | null | null | app/core/radiofrequency/__init__.py | FHellmann/MLWTF | 582c3505d638907a848d5a6c739ee99981300f17 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
"""
Author: Fabio Hellmann <info@fabio-hellmann.de>
This is a layer between the raw execution unit and the database.
"""
import logging
from datetime import datetime
from . import rf_rpi
from .models import Protocol, Signal
from ..gpio import RaspberryPi3 as GPIO_PI
from app.database impor... | 30.985507 | 120 | 0.713751 |
import logging
from datetime import datetime
from . import rf_rpi
from .models import Protocol, Signal
from ..gpio import RaspberryPi3 as GPIO_PI
from app.database import db
from app.database.models import DataSource, DataSourceType
from app.database.converter import converter
_LOGGER = logging.getLogger(__name__)
... | true | true |
f72c886994bd9fb0a5722665191651370d918e92 | 2,908 | py | Python | tests/riscv/APIs/State_force.py | Wlgen/force-riscv | 9f09b86c5a21ca00f8e5ade8e5186d65bc3e26f8 | [
"Apache-2.0"
] | 111 | 2020-06-12T22:31:30.000Z | 2022-03-19T03:45:20.000Z | tests/riscv/APIs/State_force.py | Wlgen/force-riscv | 9f09b86c5a21ca00f8e5ade8e5186d65bc3e26f8 | [
"Apache-2.0"
] | 34 | 2020-06-12T20:23:40.000Z | 2022-03-15T20:04:31.000Z | tests/riscv/APIs/State_force.py | Wlgen/force-riscv | 9f09b86c5a21ca00f8e5ade8e5186d65bc3e26f8 | [
"Apache-2.0"
] | 32 | 2020-06-12T19:15:26.000Z | 2022-02-20T11:38:31.000Z | #
# Copyright (C) [2020] Futurewei Technologies, Inc.
#
# FORCE-RISCV is 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
#
# THIS SOFTWARE IS PR... | 38.263158 | 77 | 0.725241 | import RandomUtils
from Enums import EStateElementDuplicateMode
from State import State
from base.Sequence import Sequence
from riscv.EnvRISCV import EnvRISCV
from riscv.GenThreadRISCV import GenThreadRISCV
class MainSequence(Sequence):
def generate(self, **kargs):
state = State()
state.setDuplic... | true | true |
f72c88bad07b64edf6012e96a4a6af0ebf4b41c8 | 12,698 | py | Python | mai_version/trees/TILDEQueryScorer.py | joschout/tilde | 1403b50842b83f2edd6b16b1fbe24b9bec2d0048 | [
"Apache-2.0"
] | 16 | 2019-03-06T06:11:33.000Z | 2022-02-07T21:30:25.000Z | mai_version/trees/TILDEQueryScorer.py | joschout/tilde | 1403b50842b83f2edd6b16b1fbe24b9bec2d0048 | [
"Apache-2.0"
] | 4 | 2019-10-08T14:48:23.000Z | 2020-03-26T00:31:57.000Z | mai_version/trees/TILDEQueryScorer.py | krishnangovindraj/tilde | 5243a02d92f375d56ffc49ab8c3d1a87e31e99b9 | [
"Apache-2.0"
] | 4 | 2019-08-14T05:40:47.000Z | 2020-08-05T13:21:16.000Z | import math
from typing import Iterable, Set, List, Optional
import problog
import time
from problog.logic import And, Term
from mai_version.classification.example_partitioning import ExamplePartitioner
from mai_version.representation.TILDE_query import TILDEQuery
from mai_version.representation.example import Exampl... | 52.040984 | 158 | 0.654198 | import math
from typing import Iterable, Set, List, Optional
import problog
import time
from problog.logic import And, Term
from mai_version.classification.example_partitioning import ExamplePartitioner
from mai_version.representation.TILDE_query import TILDEQuery
from mai_version.representation.example import Exampl... | true | true |
f72c8a7510c49c3ae446f48e397b061791a320e4 | 13,771 | py | Python | logreg.py | naver/cog | 5b34ca90757116b9cfae11d8838927ba73e1ede8 | [
"BSD-3-Clause"
] | 13 | 2021-10-13T11:13:55.000Z | 2022-03-11T04:41:41.000Z | logreg.py | naver/cog | 5b34ca90757116b9cfae11d8838927ba73e1ede8 | [
"BSD-3-Clause"
] | null | null | null | logreg.py | naver/cog | 5b34ca90757116b9cfae11d8838927ba73e1ede8 | [
"BSD-3-Clause"
] | null | null | null | # ImageNet-CoG Benchmark
# Copyright 2021-present NAVER Corp.
# 3-Clause BSD License
import argparse
import copy
import logging
import math
import os
import shutil
import time
import optuna
import torch as th
import feature_ops
import metrics
import utils
from iterators import TorchIterator
from meters import Avera... | 37.625683 | 140 | 0.600392 |
import argparse
import copy
import logging
import math
import os
import shutil
import time
import optuna
import torch as th
import feature_ops
import metrics
import utils
from iterators import TorchIterator
from meters import AverageMeter, ProgressMeter
logger = logging.getLogger()
class LogReg:
def __init__... | true | true |
f72c8ab58a23d585b39a3037e18747d52bcb4b75 | 1,132 | py | Python | Chapter02/Ch02_Code/GUI_tabbed_two_mighty_labels.py | mr4dsd43/Python-GUI-Programming-Cookbook-Second-Edition | 18e4632106169991e9b75680bdd7250c9d77c3be | [
"MIT"
] | 2 | 2021-01-12T03:13:29.000Z | 2021-01-12T03:13:31.000Z | Chapter02/Ch02_Code/GUI_tabbed_two_mighty_labels.py | mr4dsd43/Python-GUI-Programming-Cookbook-Second-Edition | 18e4632106169991e9b75680bdd7250c9d77c3be | [
"MIT"
] | null | null | null | Chapter02/Ch02_Code/GUI_tabbed_two_mighty_labels.py | mr4dsd43/Python-GUI-Programming-Cookbook-Second-Edition | 18e4632106169991e9b75680bdd7250c9d77c3be | [
"MIT"
] | 1 | 2022-02-22T02:06:32.000Z | 2022-02-22T02:06:32.000Z | '''
May 2017
@author: Burkhard A. Meier
'''
#======================
# imports
#======================
import tkinter as tk
from tkinter import ttk
# Create instance
win = tk.Tk()
# Add a title
win.title("Python GUI")
tabControl = ttk.Notebook(win) # Create Tab Control
tab1 = ttk.Frame(tabControl)... | 25.155556 | 65 | 0.620141 | import tkinter as tk
from tkinter import ttk
win = tk.Tk()
win.title("Python GUI")
tabControl = ttk.Notebook(win)
tab1 = ttk.Frame(tabControl) tabControl.add(tab1, text='Tab 1') tab2 = ttk.Frame(tabControl) tabControl.add(tab2, text='Tab 2')
tabControl.pack(expand=1, fil... | true | true |
f72c8ecfbd321747538079c852e41d9f1f85d700 | 3,446 | py | Python | sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_validate.py | kashifkhan/azure-sdk-for-python | 9c28b76e89b0855e41bd12d5b4a59b51acd47eec | [
"MIT"
] | null | null | null | sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_validate.py | kashifkhan/azure-sdk-for-python | 9c28b76e89b0855e41bd12d5b4a59b51acd47eec | [
"MIT"
] | null | null | null | sdk/textanalytics/azure-ai-textanalytics/azure/ai/textanalytics/_validate.py | kashifkhan/azure-sdk-for-python | 9c28b76e89b0855e41bd12d5b4a59b51acd47eec | [
"MIT"
] | null | null | null | # ------------------------------------
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
# ------------------------------------
import functools
from ._version import VERSIONS_SUPPORTED
def check_for_unsupported_actions_types(*args, **kwargs):
client = args[0]
# this assumes the clien... | 35.163265 | 119 | 0.589089 |
import functools
from ._version import VERSIONS_SUPPORTED
def check_for_unsupported_actions_types(*args, **kwargs):
client = args[0]
selected_api_version = client._api_version
if "actions" not in kwargs:
actions = args[2]
else:
actions = kwargs.get("actions")
if actions is... | true | true |
f72c8ed99253eaa655d08778cb9bf6fa834191af | 10,956 | py | Python | google/ads/google_ads/v0/proto/resources/shared_criterion_pb2.py | jwygoda/google-ads-python | 863892b533240cb45269d9c2cceec47e2c5a8b68 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v0/proto/resources/shared_criterion_pb2.py | jwygoda/google-ads-python | 863892b533240cb45269d9c2cceec47e2c5a8b68 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v0/proto/resources/shared_criterion_pb2.py | jwygoda/google-ads-python | 863892b533240cb45269d9c2cceec47e2c5a8b68 | [
"Apache-2.0"
] | null | null | null | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: google/ads/googleads_v0/proto/resources/shared_criterion.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message... | 59.221622 | 1,457 | 0.793264 |
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
_sym_db = _s... | true | true |
f72c907b1f918fdf342d234b59f8c92fc6aa1d93 | 2,070 | py | Python | cows_bulls.py | hmlewis-astro/coding_practice | a781443399766bf13df0d2de93f0ce3acda0c77d | [
"MIT"
] | null | null | null | cows_bulls.py | hmlewis-astro/coding_practice | a781443399766bf13df0d2de93f0ce3acda0c77d | [
"MIT"
] | null | null | null | cows_bulls.py | hmlewis-astro/coding_practice | a781443399766bf13df0d2de93f0ce3acda0c77d | [
"MIT"
] | null | null | null | '''
File name: pythonpractice.py
Author: Hannah Lewis
Date created: 08/03/2020
Date last modified: 08/03/2020
Python Version: 3.7
'''
import random
def main():
'''
Create a program that will play the “cows and bulls” game with the user.
'''
print("You will try to guess a random 4-digit nu... | 27.972973 | 117 | 0.522705 |
import random
def main():
print("You will try to guess a random 4-digit number.")
print("A 'cow' is a correct digit in the correct place.")
print("A 'bull' is a correct digit in the wrong place.")
print("The game ends when you get 4 cows!\n")
print("You can type 'exit' at any tim... | true | true |
f72c90b37b41d597ef1c839e1131577727a7329a | 227 | py | Python | game/admin.py | zxalif/simpleapi | 89d9f1c81b7c8e46d9764573fc1070a453751b4a | [
"MIT"
] | null | null | null | game/admin.py | zxalif/simpleapi | 89d9f1c81b7c8e46d9764573fc1070a453751b4a | [
"MIT"
] | 8 | 2020-06-05T23:34:44.000Z | 2022-02-10T09:11:05.000Z | game/admin.py | zxalif/simpleapi | 89d9f1c81b7c8e46d9764573fc1070a453751b4a | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import (
Category,
Game,
Thread,
ThreadImage
)
admin.site.register(Category)
admin.site.register(Game)
admin.site.register(Thread)
admin.site.register(ThreadImage) | 17.461538 | 32 | 0.748899 | from django.contrib import admin
from .models import (
Category,
Game,
Thread,
ThreadImage
)
admin.site.register(Category)
admin.site.register(Game)
admin.site.register(Thread)
admin.site.register(ThreadImage) | true | true |
f72c9168c0692e02e3f54b61d9c5f5e6399fc4d3 | 867 | py | Python | blog/pelican-plugins/headerid/headerid.py | lemonsong/lemonsong.github.io | 14a65b8c2506c95bab64f50143f3850be3edadc1 | [
"MIT"
] | null | null | null | blog/pelican-plugins/headerid/headerid.py | lemonsong/lemonsong.github.io | 14a65b8c2506c95bab64f50143f3850be3edadc1 | [
"MIT"
] | 1 | 2022-01-10T04:39:05.000Z | 2022-01-10T04:39:05.000Z | blog/pelican-plugins/headerid/headerid.py | lemonsong/lemonsong.github.io | 14a65b8c2506c95bab64f50143f3850be3edadc1 | [
"MIT"
] | null | null | null | from pelican import readers
from pelican.readers import PelicanHTMLTranslator
from pelican import signals
from docutils import nodes
def register():
class HeaderIDPatchedPelicanHTMLTranslator(PelicanHTMLTranslator):
def depart_title(self, node):
close_tag = self.context[-1]
parent =... | 43.35 | 113 | 0.635525 | from pelican import readers
from pelican.readers import PelicanHTMLTranslator
from pelican import signals
from docutils import nodes
def register():
class HeaderIDPatchedPelicanHTMLTranslator(PelicanHTMLTranslator):
def depart_title(self, node):
close_tag = self.context[-1]
parent =... | true | true |
f72c916ef8e95900c5ab3a87d685611c982bda39 | 2,960 | py | Python | linsae/cogs/Events.py | drakedeveloper/Linsae | 1a866fbb95df3a7270e446dca18e9dca8beb2c3a | [
"Apache-2.0"
] | 1 | 2019-06-27T00:47:21.000Z | 2019-06-27T00:47:21.000Z | linsae/cogs/Events.py | drakedeveloper/Linsae | 1a866fbb95df3a7270e446dca18e9dca8beb2c3a | [
"Apache-2.0"
] | null | null | null | linsae/cogs/Events.py | drakedeveloper/Linsae | 1a866fbb95df3a7270e446dca18e9dca8beb2c3a | [
"Apache-2.0"
] | null | null | null | import discord
import time
import asyncio
from datetime import datetime
import time
from discord.ext import tasks, commands
from tinydb import TinyDB, Query
import re
class Events(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.Cog.listener()
async def on_guild... | 55.849057 | 294 | 0.631419 | import discord
import time
import asyncio
from datetime import datetime
import time
from discord.ext import tasks, commands
from tinydb import TinyDB, Query
import re
class Events(commands.Cog):
def __init__(self, bot):
self.bot = bot
@commands.Cog.listener()
async def on_guild... | true | true |
f72c919a5fbacff307b79548546b94830a8d5ed5 | 26,995 | py | Python | kivymd/uix/list.py | akaminetzkyp/KivyMD | 940791ee1217e09184d8916c0eccc7534f097a48 | [
"MIT"
] | 1 | 2020-07-01T12:39:51.000Z | 2020-07-01T12:39:51.000Z | kivymd/uix/list.py | ayo6706/KivyMD | c67850fd9f505d20a9e86ab89a39918daf34cd43 | [
"MIT"
] | null | null | null | kivymd/uix/list.py | ayo6706/KivyMD | c67850fd9f505d20a9e86ab89a39918daf34cd43 | [
"MIT"
] | null | null | null | """
Components/List
===============
.. seealso::
`Material Design spec, Lists <https://material.io/components/lists>`_
.. rubric:: Lists are continuous, vertical indexes of text or images.
.. image:: https://github.com/HeaTTheatR/KivyMD-data/raw/master/gallery/kivymddoc/lists.png
:align: center
The class :... | 27.185297 | 113 | 0.655195 |
from kivy.lang import Builder
from kivy.metrics import dp
from kivy.properties import (
StringProperty,
NumericProperty,
ListProperty,
OptionProperty,
BooleanProperty,
)
from kivy.uix.behaviors import ButtonBehavior
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.image import Image
impo... | true | true |
f72c928677b51e691762e5e54a0552edfcb7fb7d | 4,361 | py | Python | lab4/predict_income_romain_claret_and_sylvain_robert-nicoud_lab4.py | RomainClaret/msc.ml.labs | 4e6b8e1c1ab841ab8ebbaee13f6ae43e9a1c44a5 | [
"MIT"
] | null | null | null | lab4/predict_income_romain_claret_and_sylvain_robert-nicoud_lab4.py | RomainClaret/msc.ml.labs | 4e6b8e1c1ab841ab8ebbaee13f6ae43e9a1c44a5 | [
"MIT"
] | null | null | null | lab4/predict_income_romain_claret_and_sylvain_robert-nicoud_lab4.py | RomainClaret/msc.ml.labs | 4e6b8e1c1ab841ab8ebbaee13f6ae43e9a1c44a5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# 12.04.21
# Assignment lab 04
# Master Class: Machine Learning (5MI2018)
# Faculty of Economic Science
# University of Neuchatel (Switzerland)
# Lab 4, see ML21_Exercise_4.pdf for more information
# https://github.com/RomainClaret/msc.ml.labs
# Authors:
# - Romain Claret @RomainClaret
# - Sy... | 36.341667 | 167 | 0.687686 |
import warnings
import pickle
import pandas as pd
from sklearn.preprocessing import LabelEncoder
from sklearn.metrics import accuracy_score
warnings.filterwarnings("ignore")
filename = 'adult.test'
file_handler = open(filename, 'r').readlines()[1:]
prefix_file = "adult_2021_cw_"
week_number = 1
split_into = 10
... | true | true |
f72c93dc9d0c650ab8f3bacc646cd04dbfed3888 | 92 | py | Python | app/admin/__init__.py | baz1nga/Work-Shift | 77df03120c4bc512703f02a653a6bbc982b14857 | [
"MIT"
] | null | null | null | app/admin/__init__.py | baz1nga/Work-Shift | 77df03120c4bc512703f02a653a6bbc982b14857 | [
"MIT"
] | null | null | null | app/admin/__init__.py | baz1nga/Work-Shift | 77df03120c4bc512703f02a653a6bbc982b14857 | [
"MIT"
] | null | null | null | from flask import Blueprint
bp = Blueprint('admin', __name__)
from app.admin import views
| 15.333333 | 33 | 0.771739 | from flask import Blueprint
bp = Blueprint('admin', __name__)
from app.admin import views
| true | true |
f72c94f9f4bcc67b00da8e6ffb7d26d5bc04f527 | 1,108 | py | Python | puzzle14/14a.py | muellerd/advent_of_code20 | 4d9619de165b584f406ef8a1b136d79355dfe3e1 | [
"MIT"
] | null | null | null | puzzle14/14a.py | muellerd/advent_of_code20 | 4d9619de165b584f406ef8a1b136d79355dfe3e1 | [
"MIT"
] | null | null | null | puzzle14/14a.py | muellerd/advent_of_code20 | 4d9619de165b584f406ef8a1b136d79355dfe3e1 | [
"MIT"
] | null | null | null | rows = []
with open("C:\\Privat\\advent_of_code20\\puzzle14\\input1.txt") as f:
for line in f:
rows.append(line.strip())
#print(rows)
memory = {}
currentMask = ""
for line in rows:
split = line.split(' = ')
if 'mask' in split[0]:
currentMask = split[1].strip()
else:
# value in... | 21.307692 | 69 | 0.525271 | rows = []
with open("C:\\Privat\\advent_of_code20\\puzzle14\\input1.txt") as f:
for line in f:
rows.append(line.strip())
memory = {}
currentMask = ""
for line in rows:
split = line.split(' = ')
if 'mask' in split[0]:
currentMask = split[1].strip()
else:
bit = format(in... | true | true |
f72c9587c2b7459c937e13b276ff7e0feb632297 | 3,314 | py | Python | detect_image.py | YunYang1994/CodeFun | 36fcdbfb4ed55fbb8f8dbc6f900842cc7bb9f068 | [
"MIT"
] | 150 | 2019-06-19T03:54:40.000Z | 2019-10-21T07:09:02.000Z | detect_image.py | YunYang1994/cv-notebooks | 36fcdbfb4ed55fbb8f8dbc6f900842cc7bb9f068 | [
"MIT"
] | 7 | 2019-11-26T07:27:42.000Z | 2020-04-02T03:35:29.000Z | detect_image.py | YunYang1994/cv-notebooks | 36fcdbfb4ed55fbb8f8dbc6f900842cc7bb9f068 | [
"MIT"
] | 25 | 2019-11-27T11:07:56.000Z | 2020-03-19T15:44:20.000Z | #! /usr/bin/env python
# coding=utf-8
#================================================================
# Copyright (C) 2020 * Ltd. All rights reserved.
#
# Editor : VIM
# File name : detect_image.py
# Author : YunYang1994
# Created date: 2020-03-19 14:05:53
# Description :
#
#==================... | 36.822222 | 96 | 0.601992 |
import os
import cv2
import time
import numpy as np
import tensorflow as tf
from PIL import Image, ImageFont, ImageDraw
from mtcnn import pnet, rnet, onet
from models import IResnet
from utils import detect_face, align_face, recognize_face
model = IResnet(tflite_model="IResnet.tflite")
font = ImageFont.truetype('we... | true | true |
f72c966881d67f6b446e37599487a4a5d041df9b | 60,197 | py | Python | heat/engine/resources/openstack/nova/server.py | maestro-hybrid-cloud/heat | 91a4bb3170bd81b1c67a896706851e55709c9b5a | [
"Apache-2.0"
] | null | null | null | heat/engine/resources/openstack/nova/server.py | maestro-hybrid-cloud/heat | 91a4bb3170bd81b1c67a896706851e55709c9b5a | [
"Apache-2.0"
] | null | null | null | heat/engine/resources/openstack/nova/server.py | maestro-hybrid-cloud/heat | 91a4bb3170bd81b1c67a896706851e55709c9b5a | [
"Apache-2.0"
] | null | null | null | #
# 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
# ... | 42.037011 | 79 | 0.570842 |
import copy
import uuid
from oslo_config import cfg
from oslo_log import log as logging
from oslo_serialization import jsonutils
from oslo_utils import uuidutils
import six
from heat.common import exception
from heat.common.i18n import _
from heat.engine import attributes
from heat.engine.clients import progress
fro... | true | true |
f72c9842321b24921292819e0294421b24b2f549 | 3,305 | py | Python | src/draw.py | lRomul/argus-bengali-ai | e64374230f5390a17305769126ff4bfc9a2a8644 | [
"MIT"
] | 2 | 2020-05-08T09:25:38.000Z | 2020-10-04T16:15:29.000Z | src/draw.py | lRomul/argus-bengali-ai | e64374230f5390a17305769126ff4bfc9a2a8644 | [
"MIT"
] | 2 | 2022-01-13T03:19:24.000Z | 2022-03-12T00:48:13.000Z | src/draw.py | lRomul/argus-bengali-ai | e64374230f5390a17305769126ff4bfc9a2a8644 | [
"MIT"
] | null | null | null | import time
import random
import numpy as np
from pathlib import Path
from PIL import Image, ImageDraw, ImageFont, ImageFilter
import torch
from torch.utils.data import Dataset
from src import config
def draw_grapheme(grapheme, font_path, size=(137, 236)):
height, width = size
image = Image.new('RGB', (widt... | 36.318681 | 112 | 0.607867 | import time
import random
import numpy as np
from pathlib import Path
from PIL import Image, ImageDraw, ImageFont, ImageFilter
import torch
from torch.utils.data import Dataset
from src import config
def draw_grapheme(grapheme, font_path, size=(137, 236)):
height, width = size
image = Image.new('RGB', (widt... | true | true |
f72c98f625fd6ff9df578e247df919138a312028 | 1,260 | py | Python | selectionsort.py | maxProgrammer/Entendendo_Algoritmos | 8bc6ef9b7869150ef624333490b68d94b197cb75 | [
"MIT"
] | null | null | null | selectionsort.py | maxProgrammer/Entendendo_Algoritmos | 8bc6ef9b7869150ef624333490b68d94b197cb75 | [
"MIT"
] | null | null | null | selectionsort.py | maxProgrammer/Entendendo_Algoritmos | 8bc6ef9b7869150ef624333490b68d94b197cb75 | [
"MIT"
] | null | null | null | #algoritmo utilizado para ordenação de uma lista.
#a cada execução ele percorre toda lista e coloca o menor na posição (n-1)
def encontraMenor(lista):
#armazena o valor do indice 0 a variavel
menorValor = lista[0]
#considera que index zero tem o menor valor
menorIndex = 0
#percorre lista do indice... | 28 | 74 | 0.674603 | def encontraMenor(lista):
menorValor = lista[0]
menorIndex = 0
for i in range(1,len(lista) - 1):
if lista[i] < menorValor:
menorValor = lista[i]
menorIndex = i
return menorIndex
def ordenaSelecao(lista):
ordLista = []
... | true | true |
f72c99bc69fba8eb8ab5186eeff081f18b9e24a7 | 3,124 | py | Python | src/dataset_prepare.py | dd-dos/Emotion-detection | 23eb94cbceb70890cf6b0f63e84d80eae7336c85 | [
"MIT"
] | null | null | null | src/dataset_prepare.py | dd-dos/Emotion-detection | 23eb94cbceb70890cf6b0f63e84d80eae7336c85 | [
"MIT"
] | null | null | null | src/dataset_prepare.py | dd-dos/Emotion-detection | 23eb94cbceb70890cf6b0f63e84d80eae7336c85 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
from PIL import Image
from tqdm import tqdm
import os
# convert string to integer
def atoi(s):
n = 0
for i in s:
n = n*10 + ord(i) - ord("0")
return n
# making folders
outer_names = ['test','train']
inner_names = ['angry', 'disgusted', 'fearful', 'happy', 's... | 30.330097 | 87 | 0.546735 | import numpy as np
import pandas as pd
from PIL import Image
from tqdm import tqdm
import os
def atoi(s):
n = 0
for i in s:
n = n*10 + ord(i) - ord("0")
return n
outer_names = ['test','train']
inner_names = ['angry', 'disgusted', 'fearful', 'happy', 'sad', 'surprised', 'neutral']
os.makedirs('dat... | true | true |
f72c9a79f61fe1255118ac76e5e76311780f9ee8 | 1,612 | py | Python | demos/grouped_mr_heart/demo_predict.py | mathpluscode/DeepReg | 80854094feafec998fa6237199066556c73f31f9 | [
"Apache-2.0"
] | null | null | null | demos/grouped_mr_heart/demo_predict.py | mathpluscode/DeepReg | 80854094feafec998fa6237199066556c73f31f9 | [
"Apache-2.0"
] | null | null | null | demos/grouped_mr_heart/demo_predict.py | mathpluscode/DeepReg | 80854094feafec998fa6237199066556c73f31f9 | [
"Apache-2.0"
] | null | null | null | import argparse
from datetime import datetime
from deepreg.predict import predict
name = "grouped_mr_heart"
# parser is used to simplify testing, by default it is not used
# please run the script with --no-test flag to ensure non-testing mode
# for instance:
# python script.py --no-test
parser = argparse.ArgumentPar... | 26.866667 | 72 | 0.628412 | import argparse
from datetime import datetime
from deepreg.predict import predict
name = "grouped_mr_heart"
parser = argparse.ArgumentParser()
parser.add_argument(
"--test",
help="Execute the script for test purpose",
dest="test",
action="store_true",
)
parser.add_argument(
"--no-test",
help=... | true | true |
f72c9cd27adbff3953b5021bda4fe373f564264d | 2,110 | py | Python | core/helper/config.py | caostorm/smng | f1cff4010a0645ae8e1182cd3c961d97cecf4a6e | [
"MIT"
] | null | null | null | core/helper/config.py | caostorm/smng | f1cff4010a0645ae8e1182cd3c961d97cecf4a6e | [
"MIT"
] | null | null | null | core/helper/config.py | caostorm/smng | f1cff4010a0645ae8e1182cd3c961d97cecf4a6e | [
"MIT"
] | 1 | 2019-06-26T13:05:45.000Z | 2019-06-26T13:05:45.000Z | #coding=utf-8
import json
from core.helper.crypt import pwd_crypt
from core.helper.globalvar import global_const
import sys
class options_config:
class ErrorTypeNotSupport(BaseException):
def __init__(self):
pass
def __str__(self):
return "This type didn't support"
def... | 30.142857 | 90 | 0.519431 | import json
from core.helper.crypt import pwd_crypt
from core.helper.globalvar import global_const
import sys
class options_config:
class ErrorTypeNotSupport(BaseException):
def __init__(self):
pass
def __str__(self):
return "This type didn't support"
def __init__(self... | true | true |
f72c9d1c53416fbc1312ed7ced97e6c382733715 | 12,177 | py | Python | tensorflow_addons/layers/normalizations.py | tzachar/addons | e352207da32e4670a36a295ea477c476118cb0d9 | [
"Apache-2.0"
] | null | null | null | tensorflow_addons/layers/normalizations.py | tzachar/addons | e352207da32e4670a36a295ea477c476118cb0d9 | [
"Apache-2.0"
] | null | null | null | tensorflow_addons/layers/normalizations.py | tzachar/addons | e352207da32e4670a36a295ea477c476118cb0d9 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 38.292453 | 79 | 0.642687 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import logging
import tensorflow as tf
@tf.keras.utils.register_keras_serializable(package='Addons')
class GroupNormalization(tf.keras.layers.Layer):
def __init__(self,
groups=2,
... | true | true |
f72c9e1c750207443829a4d4625294cef174db04 | 4,966 | py | Python | restaurants/views.py | sunilsm7/django_resto | b7698653093af7e6f26dd0d0c7b8d6046b402ea4 | [
"MIT"
] | 1 | 2017-08-03T01:40:12.000Z | 2017-08-03T01:40:12.000Z | restaurants/views.py | sunilsm7/django_resto | b7698653093af7e6f26dd0d0c7b8d6046b402ea4 | [
"MIT"
] | null | null | null | restaurants/views.py | sunilsm7/django_resto | b7698653093af7e6f26dd0d0c7b8d6046b402ea4 | [
"MIT"
] | null | null | null | from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib import messages
from django.contrib.contenttypes.models import ContentType
from django.core.paginator import Paginator
from django.core.urlresolvers import reverse, reverse_lazy
from d... | 31.833333 | 139 | 0.762384 | from django.contrib.auth.decorators import login_required
from django.contrib.auth.mixins import LoginRequiredMixin
from django.contrib import messages
from django.contrib.contenttypes.models import ContentType
from django.core.paginator import Paginator
from django.core.urlresolvers import reverse, reverse_lazy
from d... | true | true |
f72c9ff03b849eba70778f598d05555ab5123a75 | 1,072 | py | Python | core/tests/test_managers/test_project.py | erexer/polyaxon | be14dae1ed56d568983388736bcdaf27a7baa4a4 | [
"Apache-2.0"
] | null | null | null | core/tests/test_managers/test_project.py | erexer/polyaxon | be14dae1ed56d568983388736bcdaf27a7baa4a4 | [
"Apache-2.0"
] | null | null | null | core/tests/test_managers/test_project.py | erexer/polyaxon | be14dae1ed56d568983388736bcdaf27a7baa4a4 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# Copyright 2018-2020 Polyaxon, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 33.5 | 74 | 0.767724 |
import pytest
from polyaxon_sdk import V1Project
from tests.utils import BaseTestCase
from polyaxon.managers.project import ProjectManager
@pytest.mark.managers_mark
class TestProjectManager(BaseTestCase):
def test_default_props(self):
assert ProjectManager.is_all_visibility() is True
assert Pr... | true | true |
f72ca02b98c9b0c00c8385d82a02c58fe350bf58 | 16,524 | py | Python | src/ner_model/typer/data_translator.py | fracivilization/distant_ner_using_thesaurus | cebfb2bd950123ce3ef18e501314778cc41de71e | [
"Apache-2.0"
] | null | null | null | src/ner_model/typer/data_translator.py | fracivilization/distant_ner_using_thesaurus | cebfb2bd950123ce3ef18e501314778cc41de71e | [
"Apache-2.0"
] | null | null | null | src/ner_model/typer/data_translator.py | fracivilization/distant_ner_using_thesaurus | cebfb2bd950123ce3ef18e501314778cc41de71e | [
"Apache-2.0"
] | null | null | null | import dataclasses
from enum import unique
import click
import datasets
from datasets import features
from datasets.arrow_dataset import Dataset
from datasets.dataset_dict import DatasetDict
from src.ner_model.chunker.abstract_model import Chunker
from src.utils.utils import remove_BIE
import dataclasses
from seqeval.m... | 37.216216 | 86 | 0.60633 | import dataclasses
from enum import unique
import click
import datasets
from datasets import features
from datasets.arrow_dataset import Dataset
from datasets.dataset_dict import DatasetDict
from src.ner_model.chunker.abstract_model import Chunker
from src.utils.utils import remove_BIE
import dataclasses
from seqeval.m... | true | true |
f72ca25004c0c4905aca487d4e9c73657cbe9a5d | 482 | py | Python | app/http/middleware/HelloWorldMiddleware.py | llaski/masonite-tutorial | f89dc88ccf7924b477dfe971fdb981a82e63d5fe | [
"MIT"
] | null | null | null | app/http/middleware/HelloWorldMiddleware.py | llaski/masonite-tutorial | f89dc88ccf7924b477dfe971fdb981a82e63d5fe | [
"MIT"
] | 1 | 2021-06-02T00:33:40.000Z | 2021-06-02T00:33:40.000Z | app/http/middleware/HelloWorldMiddleware.py | llaski/masonite-tutorial | f89dc88ccf7924b477dfe971fdb981a82e63d5fe | [
"MIT"
] | null | null | null | """HelloWorld Middleware."""
from masonite.request import Request
class HelloWorldMiddleware:
"""HelloWorld Middleware."""
def __init__(self, request: Request):
"""Inject Any Dependencies From The Service Container.
Arguments:
Request {masonite.request.Request} -- The Masonite r... | 21.909091 | 77 | 0.636929 |
from masonite.request import Request
class HelloWorldMiddleware:
def __init__(self, request: Request):
self.request = request
def before(self):
print('Hello World')
def after(self):
print('Goodbye World')
| true | true |
f72ca260e47ced61e897e70195c321f15e9d783d | 3,962 | py | Python | misc/learnpy/k-means/loadiris.py | mutazag/mdsi | efecc8f650ddf6866154389f98d4ce0a9803db18 | [
"MIT"
] | null | null | null | misc/learnpy/k-means/loadiris.py | mutazag/mdsi | efecc8f650ddf6866154389f98d4ce0a9803db18 | [
"MIT"
] | null | null | null | misc/learnpy/k-means/loadiris.py | mutazag/mdsi | efecc8f650ddf6866154389f98d4ce0a9803db18 | [
"MIT"
] | null | null | null | import pandas as pd
from sklearn import datasets
# load iris data set
iris = datasets.load_iris()
print(iris)
species = [iris.target_names[x] for x in iris.target]
iris = pd.DataFrame(iris['data'], columns = ['Sepal_Length', 'Sepal_Width', 'Petal_Length', 'Petal_Width'])
iris['Species'] = species
iris.head()
iri... | 29.132353 | 108 | 0.694346 | import pandas as pd
from sklearn import datasets
iris = datasets.load_iris()
print(iris)
species = [iris.target_names[x] for x in iris.target]
iris = pd.DataFrame(iris['data'], columns = ['Sepal_Length', 'Sepal_Width', 'Petal_Length', 'Petal_Width'])
iris['Species'] = species
iris.head()
iris.dtypes
iris['coun... | true | true |
f72ca2f478e2f86936751094fd9d66c1fab0a9ee | 1,734 | py | Python | run-gat-2-8.py | urialon/bottleneck | 481fbb95edc6ae711da40b6305b40c12ce6a6d29 | [
"MIT"
] | null | null | null | run-gat-2-8.py | urialon/bottleneck | 481fbb95edc6ae711da40b6305b40c12ce6a6d29 | [
"MIT"
] | null | null | null | run-gat-2-8.py | urialon/bottleneck | 481fbb95edc6ae711da40b6305b40c12ce6a6d29 | [
"MIT"
] | null | null | null | import main
from common import Task, STOP, GNN_TYPE
from attrdict import AttrDict
from experiment import Experiment
import torch
override_params = {
2: {'batch_size': 64, 'eval_every': 1000},
3: {'batch_size': 64},
4: {'batch_size': 1024},
5: {'batch_size': 1024},
6: {'batch_size': 1024},
7: {'... | 33.346154 | 99 | 0.632641 | import main
from common import Task, STOP, GNN_TYPE
from attrdict import AttrDict
from experiment import Experiment
import torch
override_params = {
2: {'batch_size': 64, 'eval_every': 1000},
3: {'batch_size': 64},
4: {'batch_size': 1024},
5: {'batch_size': 1024},
6: {'batch_size': 1024},
7: {'... | true | true |
f72ca4cbe79a2f6143b41e5d9b7ad5d70a93a0a8 | 884 | py | Python | enrich/followthemoney_enrich/cache.py | achievement008/followthemoney | bda06d62c81c82e62cd0c53117d8804939b40f62 | [
"MIT"
] | 137 | 2017-10-20T09:36:32.000Z | 2022-03-24T18:49:16.000Z | enrich/followthemoney_enrich/cache.py | achievement008/followthemoney | bda06d62c81c82e62cd0c53117d8804939b40f62 | [
"MIT"
] | 505 | 2017-10-24T13:14:06.000Z | 2022-03-28T20:21:45.000Z | enrich/followthemoney_enrich/cache.py | achievement008/followthemoney | bda06d62c81c82e62cd0c53117d8804939b40f62 | [
"MIT"
] | 32 | 2017-12-19T15:22:07.000Z | 2022-02-18T11:01:28.000Z | import os
import json
from redis import Redis
from normality import stringify
class Cache(object):
def get(self, key):
return None
def has(self, key):
return self.get(key) is not None
def store(self, key, value):
pass
class RedisCache(Cache):
EXPIRE = 84600 * 90
URL = o... | 22.1 | 62 | 0.61991 | import os
import json
from redis import Redis
from normality import stringify
class Cache(object):
def get(self, key):
return None
def has(self, key):
return self.get(key) is not None
def store(self, key, value):
pass
class RedisCache(Cache):
EXPIRE = 84600 * 90
URL = o... | true | true |
f72ca4f157e0f5d299e44df76de3bb9ba9ff45ad | 13,454 | py | Python | env/lib/python3.7/encodings/mac_cyrillic.py | JacobMiske/nuclear-database-APIs | bc9fb6afb9aa0d98dde5d744d8f22b2791597e78 | [
"MIT"
] | null | null | null | env/lib/python3.7/encodings/mac_cyrillic.py | JacobMiske/nuclear-database-APIs | bc9fb6afb9aa0d98dde5d744d8f22b2791597e78 | [
"MIT"
] | null | null | null | env/lib/python3.7/encodings/mac_cyrillic.py | JacobMiske/nuclear-database-APIs | bc9fb6afb9aa0d98dde5d744d8f22b2791597e78 | [
"MIT"
] | 1 | 2020-05-01T20:23:35.000Z | 2020-05-01T20:23:35.000Z | """ Python Character Mapping Codec mac_cyrillic generated from 'MAPPINGS/VENDORS/APPLE/CYRILLIC.TXT' with gencodec.py.
"""#"
import codecs
### Codec APIs
class Codec(codecs.Codec):
def encode(self,input,errors='strict'):
return codecs.charmap_encode(input,errors,encoding_table)
def decode(self,inp... | 43.681818 | 118 | 0.549353 |
import codecs
class Codec(codecs.Codec):
def encode(self,input,errors='strict'):
return codecs.charmap_encode(input,errors,encoding_table)
def decode(self,input,errors='strict'):
return codecs.charmap_decode(input,errors,decoding_table)
class IncrementalEncoder(codecs.IncrementalEncoder):
... | true | true |
f72ca5261e26e28890b2ead99f9ab8ea92310208 | 9,487 | py | Python | test/fb_cases_util.py | savinshynu/turbo_seti | 7d756f130af5a323403affcdcb9f9bfa62325836 | [
"MIT"
] | 33 | 2017-05-09T03:31:38.000Z | 2022-03-26T01:29:35.000Z | test/fb_cases_util.py | savinshynu/turbo_seti | 7d756f130af5a323403affcdcb9f9bfa62325836 | [
"MIT"
] | 284 | 2018-03-13T13:57:09.000Z | 2022-03-30T21:59:34.000Z | test/fb_cases_util.py | savinshynu/turbo_seti | 7d756f130af5a323403affcdcb9f9bfa62325836 | [
"MIT"
] | 116 | 2017-08-08T17:27:30.000Z | 2022-03-24T21:24:40.000Z | r'''
Utility functions for test_fb_cases.py
'''
from os import mkdir, remove
from os.path import dirname
from shutil import rmtree
import logging
import pandas as pd
import numpy as np
import setigen as stg
from turbo_seti.find_doppler.find_doppler import FindDoppler
from fb_cases_def import HERE, DEBUGGING, RTOL_DIFF... | 41.792952 | 101 | 0.64288 |
from os import mkdir, remove
from os.path import dirname
from shutil import rmtree
import logging
import pandas as pd
import numpy as np
import setigen as stg
from turbo_seti.find_doppler.find_doppler import FindDoppler
from fb_cases_def import HERE, DEBUGGING, RTOL_DIFF, TestResultRecord, SetigenParms
DF_REFERENCE =... | true | true |
f72ca647ec6c0d280fd1a1ba4d668d4a17a782b2 | 5,517 | py | Python | backend/course/migrations/0001_initial.py | crowdbotics-apps/utawala-main-altar-29305 | f450b7e301bc63a8400e7a9b0e39f4b7f931e2fd | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/course/migrations/0001_initial.py | crowdbotics-apps/utawala-main-altar-29305 | f450b7e301bc63a8400e7a9b0e39f4b7f931e2fd | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/course/migrations/0001_initial.py | crowdbotics-apps/utawala-main-altar-29305 | f450b7e301bc63a8400e7a9b0e39f4b7f931e2fd | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | # Generated by Django 2.2.24 on 2021-07-31 08:35
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
op... | 49.258929 | 179 | 0.595251 |
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
... | true | true |
f72ca651974209e177cd6e0b852ffe740ce4bc1b | 57,027 | py | Python | tensorflow/python/ipu/utils.py | DebeshJha/tensorflow-1 | 2b5a225c49d25273532d11c424d37ce394d7579a | [
"Apache-2.0"
] | 2 | 2021-03-08T23:32:06.000Z | 2022-01-13T03:43:49.000Z | tensorflow/python/ipu/utils.py | DebeshJha/tensorflow-1 | 2b5a225c49d25273532d11c424d37ce394d7579a | [
"Apache-2.0"
] | null | null | null | tensorflow/python/ipu/utils.py | DebeshJha/tensorflow-1 | 2b5a225c49d25273532d11c424d37ce394d7579a | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 37.296926 | 96 | 0.668806 |
import collections
from enum import Enum
import os
import time
import numpy as np
from tensorflow.compiler.plugin.poplar.driver.config_pb2 import IpuOptions
from tensorflow.compiler.plugin.poplar.driver.trace_pb2 import IpuTraceEvent
from tensorflow.compiler.plugin.poplar.driver import config_pb2
from tensorflow.comp... | true | true |
f72ca776ebc6d065e702f3c8cb4da790bde5d2ce | 3,892 | py | Python | tests/data/residues/GLN.py | uw-ipd/privileged_residues | 78078c22ba537651a1b6bd1404c05246ab73a3e3 | [
"Apache-2.0"
] | null | null | null | tests/data/residues/GLN.py | uw-ipd/privileged_residues | 78078c22ba537651a1b6bd1404c05246ab73a3e3 | [
"Apache-2.0"
] | 20 | 2018-08-13T22:50:46.000Z | 2018-11-03T22:29:03.000Z | tests/data/residues/GLN.py | uw-ipd/privileged_residues | 78078c22ba537651a1b6bd1404c05246ab73a3e3 | [
"Apache-2.0"
] | 1 | 2018-08-25T06:03:43.000Z | 2018-08-25T06:03:43.000Z | from tests.util import pick_ray
from pyrosetta import Pose
from pyrosetta.rosetta.core.import_pose import pose_from_pdbstring
name = "GLN"
contents = """
ATOM 1 N ALA A 1 0.000 0.000 0.000 1.00 0.00 N
ATOM 2 CA ALA A 1 1.458 0.000 0.000 1.00 0.00 C
ATOM ... | 48.049383 | 78 | 0.43705 | from tests.util import pick_ray
from pyrosetta import Pose
from pyrosetta.rosetta.core.import_pose import pose_from_pdbstring
name = "GLN"
contents = """
ATOM 1 N ALA A 1 0.000 0.000 0.000 1.00 0.00 N
ATOM 2 CA ALA A 1 1.458 0.000 0.000 1.00 0.00 C
ATOM ... | true | true |
f72ca7d3d97e12ab7b405dcff314bdb6c0a78755 | 3,337 | py | Python | examples/pointer_generator/preprocess.py | fairseq-FT/fairseq | 18725499144c1bba7c151b796ba774e59d36eaa9 | [
"MIT"
] | 16,259 | 2018-05-02T02:31:30.000Z | 2022-03-31T21:50:23.000Z | examples/pointer_generator/preprocess.py | fairseq-FT/fairseq | 18725499144c1bba7c151b796ba774e59d36eaa9 | [
"MIT"
] | 3,863 | 2018-05-02T13:42:39.000Z | 2022-03-31T19:03:32.000Z | examples/pointer_generator/preprocess.py | fairseq-FT/fairseq | 18725499144c1bba7c151b796ba774e59d36eaa9 | [
"MIT"
] | 4,796 | 2018-05-02T07:55:51.000Z | 2022-03-31T14:46:45.000Z | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
from itertools import zip_longest
def replace_oovs(source_in, target_in, vocabulary, source_out, targ... | 32.398058 | 85 | 0.605034 |
import argparse
from itertools import zip_longest
def replace_oovs(source_in, target_in, vocabulary, source_out, target_out):
def format_unk(pos):
return "<unk-{}>".format(pos)
if target_in is None:
target_in = []
for seq_num, (source_seq, target_seq) in enumerate(
zip_longest(... | true | true |
f72ca9ee9ae4957b92084a00b5624be329e8478f | 349 | py | Python | Capitulo_02/exercise2_4.py | thiagosouzalink/my_codes-exercices-book-curso_intensivo_de_python | 841aa855a7450ad3d0ba65393ba0b6debcd6a770 | [
"MIT"
] | null | null | null | Capitulo_02/exercise2_4.py | thiagosouzalink/my_codes-exercices-book-curso_intensivo_de_python | 841aa855a7450ad3d0ba65393ba0b6debcd6a770 | [
"MIT"
] | null | null | null | Capitulo_02/exercise2_4.py | thiagosouzalink/my_codes-exercices-book-curso_intensivo_de_python | 841aa855a7450ad3d0ba65393ba0b6debcd6a770 | [
"MIT"
] | null | null | null | """
2.4 – Letras maiúsculas e minúsculas em nomes: Armazene o nome de uma pessoa em uma variável e então apresente o nome dessa pessoa em letras minúsculas, em letras maiúsculas e somente com a primeira letra maiúscula.
"""
nome = "José"
# Minúsculas
print(nome.lower())
# Maiúsculas
print(nome.upper())
# Somente a ... | 24.928571 | 215 | 0.747851 |
nome = "José"
print(nome.lower())
print(nome.upper())
print(nome[0]) | true | true |
f72caa1cc50710b6f6793c4a96821b65b2e32acb | 2,025 | py | Python | src/routes/users.py | tombrereton/flask-api-starter-kit | 2e244bfc4f5659e91fd7cd27388c37bf32baeaec | [
"MIT"
] | null | null | null | src/routes/users.py | tombrereton/flask-api-starter-kit | 2e244bfc4f5659e91fd7cd27388c37bf32baeaec | [
"MIT"
] | null | null | null | src/routes/users.py | tombrereton/flask-api-starter-kit | 2e244bfc4f5659e91fd7cd27388c37bf32baeaec | [
"MIT"
] | null | null | null | from http import HTTPStatus
from typing import List
from apifairy import body, other_responses, response
from flask import Blueprint, jsonify
from flask import request
from src.config import DefaultConfig
from src.dtos.user import UserDto
from src.requests.user import CreateUserRequestSchema, CreateUserRequest, Creat... | 33.196721 | 108 | 0.74963 | from http import HTTPStatus
from typing import List
from apifairy import body, other_responses, response
from flask import Blueprint, jsonify
from flask import request
from src.config import DefaultConfig
from src.dtos.user import UserDto
from src.requests.user import CreateUserRequestSchema, CreateUserRequest, Creat... | true | true |
f72caa4b74837bd62d61442cc130cfd18f4a2cb9 | 602 | py | Python | src/command_modules/azure-cli-find/azure/cli/command_modules/find/_help.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | null | null | null | src/command_modules/azure-cli-find/azure/cli/command_modules/find/_help.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | 3 | 2021-03-26T00:48:20.000Z | 2022-03-29T22:05:39.000Z | src/command_modules/azure-cli-find/azure/cli/command_modules/find/_help.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | 1 | 2017-12-28T04:51:44.000Z | 2017-12-28T04:51:44.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 37.625 | 94 | 0.465116 |
from azure.cli.core.help_files import helps
helps['find'] = """
type: command
short-summary: Find Azure CLI commands.
examples:
- name: Search for commands containing 'vm' or 'secret'
text: >
az find -q vm secret
"""
| true | true |
f72caa944d2ed0ef2d12c5b7459dddcc53fc9b34 | 12,347 | py | Python | EPro-PnP-Det/epropnp_det/core/bbox_3d/misc.py | Lakonik/EPro-PnP | 931df847190ce10eddd1dc3e3168ce1a2f295ffa | [
"Apache-2.0"
] | 19 | 2022-03-21T10:22:24.000Z | 2022-03-30T15:43:46.000Z | EPro-PnP-Det/epropnp_det/core/bbox_3d/misc.py | Lakonik/EPro-PnP | 931df847190ce10eddd1dc3e3168ce1a2f295ffa | [
"Apache-2.0"
] | null | null | null | EPro-PnP-Det/epropnp_det/core/bbox_3d/misc.py | Lakonik/EPro-PnP | 931df847190ce10eddd1dc3e3168ce1a2f295ffa | [
"Apache-2.0"
] | 3 | 2022-03-26T08:08:24.000Z | 2022-03-30T11:17:11.000Z | """
Copyright (C) 2010-2022 Alibaba Group Holding Limited.
This file is modified from
https://github.com/tjiiv-cprg/MonoRUn
"""
import math
import numpy as np
import torch
from pytorch3d.structures.meshes import Meshes
from epropnp_det.ops.iou3d.iou3d_utils import nms_gpu
def gen_unit_noc(num_pts, device=None):
... | 37.990769 | 113 | 0.53268 |
import math
import numpy as np
import torch
from pytorch3d.structures.meshes import Meshes
from epropnp_det.ops.iou3d.iou3d_utils import nms_gpu
def gen_unit_noc(num_pts, device=None):
indices = torch.arange(0, num_pts, dtype=torch.float32, device=device) + 0.5
phi = torch.arccos(1 - 2 * indices / num_pts)
... | true | true |
f72cab0568521a363e71061115573b79f5eea8ff | 22,874 | py | Python | sdk/python/pulumi_azure_nextgen/compute/v20191201/virtual_machine.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 31 | 2020-09-21T09:41:01.000Z | 2021-02-26T13:21:59.000Z | sdk/python/pulumi_azure_nextgen/compute/v20191201/virtual_machine.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 231 | 2020-09-21T09:38:45.000Z | 2021-03-01T11:16:03.000Z | sdk/python/pulumi_azure_nextgen/compute/v20191201/virtual_machine.py | pulumi/pulumi-azure-nextgen | 452736b0a1cf584c2d4c04666e017af6e9b2c15c | [
"Apache-2.0"
] | 4 | 2020-09-29T14:14:59.000Z | 2021-02-10T20:38:16.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | 65.354286 | 1,169 | 0.707135 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from . import outputs
from ._enums import *
from ._inputs import *
__all__ = ['VirtualMachine']
class VirtualMachine(pulumi.CustomResource):
def __init__(__self__,
... | true | true |
f72cab35e960fe08f1ad7e2c27dda165a8cea5a9 | 352 | py | Python | qualysapi/__init__.py | trolldbois/qualysapi | 33de3cda1e1073e5c960740e38864d1f551bfd3d | [
"Apache-2.0"
] | 4 | 2019-03-20T14:49:01.000Z | 2020-06-19T19:03:54.000Z | qualysapi/__init__.py | trolldbois/qualysapi | 33de3cda1e1073e5c960740e38864d1f551bfd3d | [
"Apache-2.0"
] | 2 | 2019-02-05T16:20:44.000Z | 2019-02-06T09:50:27.000Z | qualysapi/__init__.py | trolldbois/qualysapi | 33de3cda1e1073e5c960740e38864d1f551bfd3d | [
"Apache-2.0"
] | 1 | 2020-06-01T18:57:41.000Z | 2020-06-01T18:57:41.000Z | # -*- coding: future_fstrings -*-
# This is the version string assigned to the entire egg post
# setup.py install
# Ownership and Copyright Information.
from __future__ import absolute_import
__author__ = "Parag Baxi <parag.baxi@gmail.com>"
__copyright__ = "Copyright 2011-2013, Parag Baxi"
__license__ = "BSD-new"
fro... | 29.333333 | 60 | 0.772727 |
from __future__ import absolute_import
__author__ = "Parag Baxi <parag.baxi@gmail.com>"
__copyright__ = "Copyright 2011-2013, Parag Baxi"
__license__ = "BSD-new"
from qualysapi.util import connect
| true | true |
f72cab98f8c6d40b4cfe232aace0f320986b5a88 | 607 | py | Python | biosimulators_utils/sedml/exceptions.py | biosimulators/Biosimulators_utils | c1363467263120bf1166da2b75e38fc7f56dc94f | [
"MIT"
] | 2 | 2021-06-02T13:26:34.000Z | 2021-12-27T23:12:47.000Z | biosimulators_utils/sedml/exceptions.py | biosimulators/Biosimulators_utils | c1363467263120bf1166da2b75e38fc7f56dc94f | [
"MIT"
] | 102 | 2020-12-06T19:47:43.000Z | 2022-03-31T12:56:17.000Z | biosimulators_utils/sedml/exceptions.py | biosimulators/Biosimulators_utils | c1363467263120bf1166da2b75e38fc7f56dc94f | [
"MIT"
] | 4 | 2021-01-27T19:56:34.000Z | 2022-02-03T21:08:20.000Z | """ Exceptions for SED-ML
:Author: Jonathan Karr <karr@mssm.edu>
:Date: 2021-01-12
:Copyright: 2021, Center for Reproducible Biomedical Modeling
:License: MIT
"""
from ..exceptions import BioSimulatorsException
__all__ = [
'SedmlExecutionError',
'UnsupportedModelLanguageError',
]
class SedmlExecutionError(... | 24.28 | 81 | 0.742998 |
from ..exceptions import BioSimulatorsException
__all__ = [
'SedmlExecutionError',
'UnsupportedModelLanguageError',
]
class SedmlExecutionError(BioSimulatorsException):
pass
class UnsupportedModelLanguageError(BioSimulatorsException, NotImplementedError):
pass | true | true |
f72cabca4a5200b7b635654d553d20ae2f30155f | 3,356 | py | Python | tests/bindings/test_python.py | mfkiwl/hgdb | 6279b2d671b09094b7e69c592fa8f2eca3f6bacd | [
"BSD-2-Clause"
] | 34 | 2021-01-19T21:14:06.000Z | 2022-03-31T18:42:58.000Z | tests/bindings/test_python.py | mfkiwl/hgdb | 6279b2d671b09094b7e69c592fa8f2eca3f6bacd | [
"BSD-2-Clause"
] | 33 | 2021-01-12T18:50:16.000Z | 2022-03-23T04:49:20.000Z | tests/bindings/test_python.py | mfkiwl/hgdb | 6279b2d671b09094b7e69c592fa8f2eca3f6bacd | [
"BSD-2-Clause"
] | 2 | 2021-03-28T06:58:46.000Z | 2022-03-31T02:55:53.000Z | import sqlite3
import tempfile
import hgdb
import os
import pytest
def get_conn_cursor(db_name):
conn = sqlite3.connect(db_name)
c = conn.cursor()
return conn, c
def test_store_instance():
with tempfile.TemporaryDirectory() as temp:
db_name = os.path.join(temp, "debug.db")
db = hgdb.... | 31.660377 | 105 | 0.61025 | import sqlite3
import tempfile
import hgdb
import os
import pytest
def get_conn_cursor(db_name):
conn = sqlite3.connect(db_name)
c = conn.cursor()
return conn, c
def test_store_instance():
with tempfile.TemporaryDirectory() as temp:
db_name = os.path.join(temp, "debug.db")
db = hgdb.... | true | true |
f72cac3af394de7e0476052b87a340105bd5386f | 2,482 | py | Python | bot.py | StarkGang/TagChecker | 390191a03afc17c9003a046954586532947d10d4 | [
"MIT"
] | 1 | 2021-07-18T01:12:55.000Z | 2021-07-18T01:12:55.000Z | bot.py | StarkGang/TagChecker | 390191a03afc17c9003a046954586532947d10d4 | [
"MIT"
] | null | null | null | bot.py | StarkGang/TagChecker | 390191a03afc17c9003a046954586532947d10d4 | [
"MIT"
] | null | null | null | from pyrogram import filters, Client
import logging
import os
from pyrogram.types import (
ChatPermissions,
InlineKeyboardButton,
InlineKeyboardMarkup
)
logging.basicConfig(level=logging.INFO)
API_ID = int(os.environ.get("API_ID", 6))
API_HASH = os.environ.get("API_HASH", "eb06d4abfb49dc3eeb1aeb98ae0f581e")
... | 26.404255 | 92 | 0.657937 | from pyrogram import filters, Client
import logging
import os
from pyrogram.types import (
ChatPermissions,
InlineKeyboardButton,
InlineKeyboardMarkup
)
logging.basicConfig(level=logging.INFO)
API_ID = int(os.environ.get("API_ID", 6))
API_HASH = os.environ.get("API_HASH", "eb06d4abfb49dc3eeb1aeb98ae0f581e")
... | true | true |
f72cad1a00cbc3a4cfeedd1cef65f5d5f630641b | 2,143 | py | Python | oneflow/python/framework/watcher.py | 666DZY666/oneflow | 2062cb211dd1e0619d610659e6d41598d5f73e17 | [
"Apache-2.0"
] | null | null | null | oneflow/python/framework/watcher.py | 666DZY666/oneflow | 2062cb211dd1e0619d610659e6d41598d5f73e17 | [
"Apache-2.0"
] | null | null | null | oneflow/python/framework/watcher.py | 666DZY666/oneflow | 2062cb211dd1e0619d610659e6d41598d5f73e17 | [
"Apache-2.0"
] | 1 | 2021-11-10T07:57:01.000Z | 2021-11-10T07:57:01.000Z | """
Copyright 2020 The OneFlow Authors. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agr... | 35.716667 | 86 | 0.792814 | from __future__ import absolute_import
import traceback
import oneflow.core.record.record_pb2 as record_util
import oneflow.python.framework.local_blob as local_blob_util
import oneflow.python.framework.ofblob as ofblob
import oneflow.python.framework.remote_blob as remote_blob_util
import oneflow.python.framework.se... | true | true |
f72cad26cae4ebe6adabb39d7a5dfcd09cf17363 | 31,637 | py | Python | sdk/python/pulumi_f5bigip/ltm/snat.py | pulumi/pulumi-f5bigip | 4bce074f8bd7cb42f359ef4814ca5b437230fd1c | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2018-12-21T23:30:33.000Z | 2021-10-12T16:38:27.000Z | sdk/python/pulumi_f5bigip/ltm/snat.py | pulumi/pulumi-f5bigip | 4bce074f8bd7cb42f359ef4814ca5b437230fd1c | [
"ECL-2.0",
"Apache-2.0"
] | 61 | 2019-01-09T01:50:19.000Z | 2022-03-31T15:27:17.000Z | sdk/python/pulumi_f5bigip/ltm/snat.py | pulumi/pulumi-f5bigip | 4bce074f8bd7cb42f359ef4814ca5b437230fd1c | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2019-10-05T10:36:30.000Z | 2019-10-05T10:36:30.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | 46.939169 | 535 | 0.649746 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._inputs import *
__all__ = ['SnatArgs', 'Snat']
@pulumi.input_type
class SnatArgs:
def __init__(__self__, *,
name: pulumi... | true | true |
f72cad63668c1a50f31829882512b8a9df77f041 | 12,170 | py | Python | keystone-moon/keystone/tests/unit/test_backend_endpoint_policy.py | hashnfv/hashnfv-moon | daaba34fa2ed4426bc0fde359e54a5e1b872208c | [
"Apache-2.0"
] | 1 | 2019-05-08T06:09:35.000Z | 2019-05-08T06:09:35.000Z | keystone-moon/keystone/tests/unit/test_backend_endpoint_policy.py | hashnfv/hashnfv-moon | daaba34fa2ed4426bc0fde359e54a5e1b872208c | [
"Apache-2.0"
] | 4 | 2018-08-22T14:51:02.000Z | 2018-10-17T14:04:26.000Z | keystone-moon/keystone/tests/unit/test_backend_endpoint_policy.py | hashnfv/hashnfv-moon | daaba34fa2ed4426bc0fde359e54a5e1b872208c | [
"Apache-2.0"
] | 5 | 2018-08-03T17:19:34.000Z | 2019-01-11T15:54:42.000Z | # Copyright 2014 IBM Corp.
#
# 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, s... | 48.68 | 79 | 0.607313 |
import uuid
from six.moves import range
from testtools import matchers
from keystone import exception
from keystone.tests import unit
class PolicyAssociationTests(object):
def _assert_correct_policy(self, endpoint, policy):
ref = (
self.endpoint_policy_api.get_policy_for_endpoint(endpoint[... | true | true |
f72cae2c89049bcff133dee51ea839c617f5fd7f | 372 | py | Python | supervisely/src/mask_image.py | supervisely-ecosystem/ritm-interactive-segmentation | c86df3c7c95ce20ffd3c9cc5e3f07abe8c162f4c | [
"MIT"
] | 1 | 2022-03-25T14:36:18.000Z | 2022-03-25T14:36:18.000Z | supervisely/src/mask_image.py | supervisely-ecosystem/ritm-interactive-segmentation | c86df3c7c95ce20ffd3c9cc5e3f07abe8c162f4c | [
"MIT"
] | null | null | null | supervisely/src/mask_image.py | supervisely-ecosystem/ritm-interactive-segmentation | c86df3c7c95ce20ffd3c9cc5e3f07abe8c162f4c | [
"MIT"
] | 1 | 2022-03-17T06:39:39.000Z | 2022-03-17T06:39:39.000Z | import sly_globals as g
def get_mask_from_clicks(image_np, clicks_list):
g.CONTROLLER.set_image(image_np)
for click in clicks_list:
g.CONTROLLER.add_click(click.coords[1], click.coords[0], click.is_positive)
try:
res_mask = g.CONTROLLER.result_mask
except Exception(f"Couldn't process i... | 28.615385 | 83 | 0.712366 | import sly_globals as g
def get_mask_from_clicks(image_np, clicks_list):
g.CONTROLLER.set_image(image_np)
for click in clicks_list:
g.CONTROLLER.add_click(click.coords[1], click.coords[0], click.is_positive)
try:
res_mask = g.CONTROLLER.result_mask
except Exception(f"Couldn't process i... | true | true |
f72caed168c08d84dcc3dd7cb27e247c5df1716d | 348 | py | Python | Algorithms/kadane_algorithm/python-kadane-algorithm-O(n).py | omega07/Yet_Another_Algorithms_Repository | 7c967e115e96b3c07010a3bf94ca1cdb898a6e82 | [
"MIT"
] | 33 | 2019-10-14T19:19:43.000Z | 2021-11-30T13:40:20.000Z | Algorithms/kadane_algorithm/python-kadane-algorithm-O(n).py | omega07/Yet_Another_Algorithms_Repository | 7c967e115e96b3c07010a3bf94ca1cdb898a6e82 | [
"MIT"
] | 317 | 2019-10-14T18:35:22.000Z | 2020-03-03T17:45:06.000Z | Algorithms/kadane_algorithm/python-kadane-algorithm-O(n).py | omega07/Yet_Another_Algorithms_Repository | 7c967e115e96b3c07010a3bf94ca1cdb898a6e82 | [
"MIT"
] | 332 | 2019-10-14T18:39:08.000Z | 2021-09-02T16:19:11.000Z | def maxSubArraySum(a,size):
max_so_far =a[0]
curr_max = a[0]
for i in range(1,size):
curr_max = max(a[i], curr_max + a[i])
max_so_far = max(max_so_far,curr_max)
return max_so_far
a = [-2, -3, 4, -1, -2, 1, 5, -3]
print("Maximum contiguous sum is" , m... | 23.2 | 61 | 0.531609 | def maxSubArraySum(a,size):
max_so_far =a[0]
curr_max = a[0]
for i in range(1,size):
curr_max = max(a[i], curr_max + a[i])
max_so_far = max(max_so_far,curr_max)
return max_so_far
a = [-2, -3, 4, -1, -2, 1, 5, -3]
print("Maximum contiguous sum is" , m... | true | true |
f72caeec9c99f7dddcbe170095eba9f6591f69ab | 910 | py | Python | dwavebinarycsp/package_info.py | JoelPasvolsky/dwavebinarycsp | ef260bff6d606d8176b287bb6e27a05d6f72de9f | [
"Apache-2.0"
] | null | null | null | dwavebinarycsp/package_info.py | JoelPasvolsky/dwavebinarycsp | ef260bff6d606d8176b287bb6e27a05d6f72de9f | [
"Apache-2.0"
] | null | null | null | dwavebinarycsp/package_info.py | JoelPasvolsky/dwavebinarycsp | ef260bff6d606d8176b287bb6e27a05d6f72de9f | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 D-Wave Systems Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 43.333333 | 98 | 0.661538 |
__version__ = '0.1.3'
__author__ = 'D-Wave Systems Inc.'
__authoremail__ = 'acondello@dwavesys.com'
__description__ = 'Solves constraints satisfaction problems with binary quadratic model samplers'
| true | true |
f72cb12504a8487b6ebb6f694946918cd78f6d7b | 267 | py | Python | output/models/nist_data/atomic/integer/schema_instance/nistschema_sv_iv_atomic_integer_total_digits_2_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/nist_data/atomic/integer/schema_instance/nistschema_sv_iv_atomic_integer_total_digits_2_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/nist_data/atomic/integer/schema_instance/nistschema_sv_iv_atomic_integer_total_digits_2_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.nist_data.atomic.integer.schema_instance.nistschema_sv_iv_atomic_integer_total_digits_2_xsd.nistschema_sv_iv_atomic_integer_total_digits_2 import NistschemaSvIvAtomicIntegerTotalDigits2
__all__ = [
"NistschemaSvIvAtomicIntegerTotalDigits2",
]
| 44.5 | 204 | 0.898876 | from output.models.nist_data.atomic.integer.schema_instance.nistschema_sv_iv_atomic_integer_total_digits_2_xsd.nistschema_sv_iv_atomic_integer_total_digits_2 import NistschemaSvIvAtomicIntegerTotalDigits2
__all__ = [
"NistschemaSvIvAtomicIntegerTotalDigits2",
]
| true | true |
f72cb1f015fcd1360def9463bd8e6047da25b737 | 11,947 | py | Python | examples/ex_icub_trust_cognitive_architecture/endorsement.py | riccardobrue/SOM-example-1 | 8a977e73844f9206ee1704be577f8a7521d2b306 | [
"MIT"
] | null | null | null | examples/ex_icub_trust_cognitive_architecture/endorsement.py | riccardobrue/SOM-example-1 | 8a977e73844f9206ee1704be577f8a7521d2b306 | [
"MIT"
] | null | null | null | examples/ex_icub_trust_cognitive_architecture/endorsement.py | riccardobrue/SOM-example-1 | 8a977e73844f9206ee1704be577f8a7521d2b306 | [
"MIT"
] | 1 | 2021-03-16T16:02:16.000Z | 2021-03-16T16:02:16.000Z | #!/usr/bin/python
# The MIT License (MIT)
#
# Copyright (c) 2017 Massimiliano Patacchiola
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation ... | 44.913534 | 133 | 0.601657 |
from speech_recognition import SpeechRecognizer
from icub import iCub
import cv2
import random
import time
import os
import sys
def initialise():
my_speech = SpeechRecognizer(
hmm_path="/home/massimiliano/pyERA/examples/ex_icub_trust_cognitive_architecture/sphinx/model/en-us/en-us",
languag... | true | true |
f72cb22b484e4768378d4a3b0201733382c540d7 | 2,332 | py | Python | tests/integration/test_sdv.py | joanvaquer/SDV | 83e4fdf0ff72e6c5b72cfc8c6ec9584dbd34de28 | [
"MIT"
] | null | null | null | tests/integration/test_sdv.py | joanvaquer/SDV | 83e4fdf0ff72e6c5b72cfc8c6ec9584dbd34de28 | [
"MIT"
] | null | null | null | tests/integration/test_sdv.py | joanvaquer/SDV | 83e4fdf0ff72e6c5b72cfc8c6ec9584dbd34de28 | [
"MIT"
] | null | null | null | from sdv import SDV, load_demo
def test_sdv():
metadata, tables = load_demo(metadata=True)
sdv = SDV()
sdv.fit(metadata, tables)
# Sample all
sampled = sdv.sample_all()
assert set(sampled.keys()) == {'users', 'sessions', 'transactions'}
assert len(sampled['users']) == 10
# Sample w... | 31.945205 | 87 | 0.694683 | from sdv import SDV, load_demo
def test_sdv():
metadata, tables = load_demo(metadata=True)
sdv = SDV()
sdv.fit(metadata, tables)
sampled = sdv.sample_all()
assert set(sampled.keys()) == {'users', 'sessions', 'transactions'}
assert len(sampled['users']) == 10
sampled = sdv.sampl... | true | true |
f72cb255bbd9dbaa14f82003586431b14c8cdf93 | 340 | py | Python | WebApp/admin.py | divij-pherwani/PythonProject | 3ba262be580022cffc840f4cf967363eb7d3417b | [
"MIT"
] | null | null | null | WebApp/admin.py | divij-pherwani/PythonProject | 3ba262be580022cffc840f4cf967363eb7d3417b | [
"MIT"
] | null | null | null | WebApp/admin.py | divij-pherwani/PythonProject | 3ba262be580022cffc840f4cf967363eb7d3417b | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import StudentDetail, UniversityDetail, CourseDetail, CourseName, ApplicationDetail
admin.site.register(StudentDetail)
admin.site.register(UniversityDetail)
admin.site.register(CourseDetail)
admin.site.register(CourseName)
admin.site.register(ApplicationDetail)
# Registe... | 28.333333 | 96 | 0.844118 | from django.contrib import admin
from .models import StudentDetail, UniversityDetail, CourseDetail, CourseName, ApplicationDetail
admin.site.register(StudentDetail)
admin.site.register(UniversityDetail)
admin.site.register(CourseDetail)
admin.site.register(CourseName)
admin.site.register(ApplicationDetail)
| true | true |
f72cb2583a8f94f5dbbfd81abcd00d5e5a7903fa | 2,490 | py | Python | serpcord/models/guild.py | PgBiel/serpcord | 482736dc691027417edcd6500cdfbf9053f92b63 | [
"MIT"
] | null | null | null | serpcord/models/guild.py | PgBiel/serpcord | 482736dc691027417edcd6500cdfbf9053f92b63 | [
"MIT"
] | null | null | null | serpcord/models/guild.py | PgBiel/serpcord | 482736dc691027417edcd6500cdfbf9053f92b63 | [
"MIT"
] | null | null | null | import typing
import datetime
from typing import Mapping, Any, Optional, Iterable, List
from .model_abc import JsonAPIModel
from .snowflake import Snowflake
from .user import User
from .enums import PermissionFlags
from .permissions import Role
from serpcord.utils.model import _init_model_from_mapping_json_data
if ty... | 46.111111 | 120 | 0.701606 | import typing
import datetime
from typing import Mapping, Any, Optional, Iterable, List
from .model_abc import JsonAPIModel
from .snowflake import Snowflake
from .user import User
from .enums import PermissionFlags
from .permissions import Role
from serpcord.utils.model import _init_model_from_mapping_json_data
if ty... | true | true |
f72cb27896211cd7a2fb7552b1e8abcbeb59a726 | 713 | py | Python | dns/migrations/0016_autozones_path.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 84 | 2017-10-22T11:01:39.000Z | 2022-02-27T03:43:48.000Z | dns/migrations/0016_autozones_path.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 22 | 2017-12-11T07:21:56.000Z | 2021-09-23T02:53:50.000Z | dns/migrations/0016_autozones_path.py | prorevizor/noc | 37e44b8afc64318b10699c06a1138eee9e7d6a4e | [
"BSD-3-Clause"
] | 23 | 2017-12-06T06:59:52.000Z | 2022-02-24T00:02:25.000Z | # ----------------------------------------------------------------------
# autozones_path
# ----------------------------------------------------------------------
# Copyright (C) 2007-2019 The NOC Project
# See LICENSE for details
# ----------------------------------------------------------------------
# Third-party m... | 29.708333 | 92 | 0.4446 |
from django.db import models
from noc.core.migration.base import BaseMigration
class Migration(BaseMigration):
def migrate(self):
self.db.add_column(
"dns_dnsserver",
"autozones_path",
models.CharField(
"Autozones path", max_length=256, blank=True, nul... | true | true |
f72cb379e5c099506c5177d3a7d4578f63d14794 | 8,765 | py | Python | models/resnet_cifar_quant.py | mengjian0502/GroupLasso_Quant | 1c54c940739babf86e362ffc57752c2aa4c8986d | [
"MIT"
] | null | null | null | models/resnet_cifar_quant.py | mengjian0502/GroupLasso_Quant | 1c54c940739babf86e362ffc57752c2aa4c8986d | [
"MIT"
] | null | null | null | models/resnet_cifar_quant.py | mengjian0502/GroupLasso_Quant | 1c54c940739babf86e362ffc57752c2aa4c8986d | [
"MIT"
] | null | null | null | """
ResNet on CIFAR10
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
from .quant import ClippedReLU, int_conv2d, int_linear
from .mpdr_score import get_mpdr_score
import math
class DownsampleA(nn.Module):
def __init__(self, nIn, nOut, stride):
super(DownsampleA,... | 37.780172 | 196 | 0.650542 | import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import init
from .quant import ClippedReLU, int_conv2d, int_linear
from .mpdr_score import get_mpdr_score
import math
class DownsampleA(nn.Module):
def __init__(self, nIn, nOut, stride):
super(DownsampleA, self).__init__()
asse... | true | true |
f72cb40930dc9e29198e8bc1f4a2818b2e161a8f | 449 | py | Python | util.py | codefordc/us-congress-pizza-flag-tracker | 766c72e01e2c01342d4c6dbe2108fded2022ee74 | [
"CC0-1.0"
] | 5 | 2021-01-31T14:29:43.000Z | 2021-07-15T16:22:30.000Z | util.py | rajindermavi/us-congress-pizza-flag-tracker | 10827f3d6f2ef0cc434a475fc9782fc840cb81ab | [
"CC0-1.0"
] | 85 | 2021-05-12T23:31:29.000Z | 2022-03-30T21:23:58.000Z | util.py | rajindermavi/us-congress-pizza-flag-tracker | 10827f3d6f2ef0cc434a475fc9782fc840cb81ab | [
"CC0-1.0"
] | 8 | 2021-04-11T16:44:15.000Z | 2021-10-30T21:14:17.000Z | import json
from config import db
from models import UserModel
def table_record_to_json(record):
modelClass = type(record)
columns = [record for record in filter(lambda item: not item.startswith('_'),modelClass.__dict__)]
json_value = {column_name: str(getattr(record, column_name))for column_name in colu... | 28.0625 | 102 | 0.752784 | import json
from config import db
from models import UserModel
def table_record_to_json(record):
modelClass = type(record)
columns = [record for record in filter(lambda item: not item.startswith('_'),modelClass.__dict__)]
json_value = {column_name: str(getattr(record, column_name))for column_name in colu... | true | true |
f72cb478099ad21f4b980eaa5ef8fdbe1740ca81 | 519 | py | Python | models/utils.py | clabrugere/numpy-basics | 81efb4b8ac58fc17dc8f6c676004bbc3a99a92c3 | [
"MIT"
] | 1 | 2020-10-27T18:05:26.000Z | 2020-10-27T18:05:26.000Z | models/utils.py | clabrugere/numpy-basics | 81efb4b8ac58fc17dc8f6c676004bbc3a99a92c3 | [
"MIT"
] | null | null | null | models/utils.py | clabrugere/numpy-basics | 81efb4b8ac58fc17dc8f6c676004bbc3a99a92c3 | [
"MIT"
] | null | null | null | import numpy as np
def confusion_matrix(y_true, y_hat, threshold=.5):
def _to_class(y):
return np.array([1 if i >= threshold else 0 for i in y])
n_classes = len(np.unique(y_true))
cm = np.zeros((n_classes, n_classes))
y_hat = _to_class(y_hat)
for a, p in zip(y_true, y_hat):
... | 24.714286 | 64 | 0.572254 | import numpy as np
def confusion_matrix(y_true, y_hat, threshold=.5):
def _to_class(y):
return np.array([1 if i >= threshold else 0 for i in y])
n_classes = len(np.unique(y_true))
cm = np.zeros((n_classes, n_classes))
y_hat = _to_class(y_hat)
for a, p in zip(y_true, y_hat):
... | true | true |
f72cb4e3d578253909cb6f62152c5f20859236b5 | 276 | py | Python | translator/app/modules/speech.py | sharad461/nepali-translator | d35ba1586e4ad14ddae71b24caf49aac66d63a2e | [
"Apache-2.0"
] | 29 | 2019-08-04T03:05:23.000Z | 2021-12-14T14:09:57.000Z | translator/app/modules/speech.py | sharad461/nepali-translator | d35ba1586e4ad14ddae71b24caf49aac66d63a2e | [
"Apache-2.0"
] | 3 | 2020-10-09T01:35:45.000Z | 2021-06-02T12:24:31.000Z | translator/app/modules/speech.py | sharad461/nepali-translator | d35ba1586e4ad14ddae71b24caf49aac66d63a2e | [
"Apache-2.0"
] | 9 | 2019-11-04T10:01:34.000Z | 2021-12-20T02:03:40.000Z | import speech_recognition as sr
def rec():
r = sr.Recognizer()
with sr.Microphone() as source:
audio = r.listen(source)
try:
text = r.recognize_google(audio)
return(text)
except:
return("Sorry, couldn't recognize your voice. Please try again.") | 21.230769 | 68 | 0.666667 | import speech_recognition as sr
def rec():
r = sr.Recognizer()
with sr.Microphone() as source:
audio = r.listen(source)
try:
text = r.recognize_google(audio)
return(text)
except:
return("Sorry, couldn't recognize your voice. Please try again.") | true | true |
f72cb63e07c6ebb1781cffd6e5ba78d6f5d59509 | 1,201 | py | Python | sonata/datamodules/base_datamodule.py | sergevkim/sonata | 2250b60174628ee76fb7d54bf50e4b8b07b505d5 | [
"MIT"
] | 1 | 2021-03-15T19:01:43.000Z | 2021-03-15T19:01:43.000Z | sonata/datamodules/base_datamodule.py | sergevkim/sonata | 2250b60174628ee76fb7d54bf50e4b8b07b505d5 | [
"MIT"
] | null | null | null | sonata/datamodules/base_datamodule.py | sergevkim/sonata | 2250b60174628ee76fb7d54bf50e4b8b07b505d5 | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from pathlib import Path
import torch
from torch import Tensor
from torch.utils.data import Dataset, DataLoader
class BaseDataModule(ABC):
def __init__(
self,
data_path: Path,
batch_size: int,
num_workers: int,
):
... | 21.836364 | 48 | 0.587843 | from abc import ABC, abstractmethod
from pathlib import Path
import torch
from torch import Tensor
from torch.utils.data import Dataset, DataLoader
class BaseDataModule(ABC):
def __init__(
self,
data_path: Path,
batch_size: int,
num_workers: int,
):
... | true | true |
f72cb68570a41741af7a25b02a5d19503e0f3386 | 3,806 | py | Python | netket/operator/boson.py | gpescia/MyNetKet | 958510966a5870d9d491de0628903cf1fc210921 | [
"Apache-2.0"
] | null | null | null | netket/operator/boson.py | gpescia/MyNetKet | 958510966a5870d9d491de0628903cf1fc210921 | [
"Apache-2.0"
] | 11 | 2021-07-12T15:20:14.000Z | 2022-01-17T09:40:41.000Z | netket/operator/boson.py | gpescia/MyNetKet | 958510966a5870d9d491de0628903cf1fc210921 | [
"Apache-2.0"
] | 1 | 2021-04-25T15:47:32.000Z | 2021-04-25T15:47:32.000Z | # Copyright 2021 The NetKet Authors - All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 29.503876 | 96 | 0.672622 |
from netket.utils.types import DType
from netket.hilbert import AbstractHilbert
from ._local_operator import LocalOperator as _LocalOperator
def destroy(
hilbert: AbstractHilbert, site: int, dtype: DType = float
) -> _LocalOperator:
import numpy as np
N = hilbert.size_at_index(site)
D = np.array(... | true | true |
f72cb81ea991aa6ce3d971ea1b6e47347518c4cb | 31 | py | Python | day2/oddno1.py | nikhilsamninan/python-files | 15198459081097058a939b40b5e8ef754e578fe0 | [
"Apache-2.0"
] | null | null | null | day2/oddno1.py | nikhilsamninan/python-files | 15198459081097058a939b40b5e8ef754e578fe0 | [
"Apache-2.0"
] | null | null | null | day2/oddno1.py | nikhilsamninan/python-files | 15198459081097058a939b40b5e8ef754e578fe0 | [
"Apache-2.0"
] | null | null | null | print(tuple(range(201,400,2)))
| 15.5 | 30 | 0.709677 | print(tuple(range(201,400,2)))
| true | true |
f72cb9eb47ac3d1bf036724169c33be5cd5d5d60 | 338 | py | Python | dogstatsd/__init__.py | ian28223/datadog-unix-agent | 09c75778b512361c83ff10e7cdb37b887bcaa8fe | [
"Apache-2.0"
] | 13 | 2018-08-11T01:40:51.000Z | 2022-01-02T09:07:43.000Z | dogstatsd/__init__.py | ian28223/datadog-unix-agent | 09c75778b512361c83ff10e7cdb37b887bcaa8fe | [
"Apache-2.0"
] | 21 | 2018-05-28T13:16:23.000Z | 2021-08-19T15:43:40.000Z | dogstatsd/__init__.py | ian28223/datadog-unix-agent | 09c75778b512361c83ff10e7cdb37b887bcaa8fe | [
"Apache-2.0"
] | 15 | 2018-05-10T15:09:41.000Z | 2022-03-21T06:46:21.000Z | # Unless explicitly stated otherwise all files in this repository are licensed
# under the Apache License Version 2.0.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2018 Datadog, Inc.
from .server import Server
from .reporter import Reporter
__all__ = [
"Server",
... | 26 | 83 | 0.748521 |
from .server import Server
from .reporter import Reporter
__all__ = [
"Server",
"Reporter",
]
| true | true |
f72cba691951b7828f5ece31e4d5727f90f7fb13 | 428 | py | Python | gallery/migrations/0006_image_image.py | dennis027/Gallery | 282c1807087beb2e2a5ea1d51b5b6891145c20a0 | [
"MIT"
] | null | null | null | gallery/migrations/0006_image_image.py | dennis027/Gallery | 282c1807087beb2e2a5ea1d51b5b6891145c20a0 | [
"MIT"
] | null | null | null | gallery/migrations/0006_image_image.py | dennis027/Gallery | 282c1807087beb2e2a5ea1d51b5b6891145c20a0 | [
"MIT"
] | null | null | null | # Generated by Django 2.2 on 2021-07-03 12:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('gallery', '0005_remove_image_image'),
]
operations = [
migrations.AddField(
model_name='image',
name='image',
... | 21.4 | 62 | 0.598131 |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('gallery', '0005_remove_image_image'),
]
operations = [
migrations.AddField(
model_name='image',
name='image',
field=models.CharField(default=1, max_leng... | true | true |
f72cbb0f0e9ed11c2ce819bd187907cbc6229269 | 1,190 | py | Python | examples/pure_jax.py | kingoflolz/DALL-E | d3f3e9a57a31b1e1cc74a449a9e6e5a0442f0ac7 | [
"MIT"
] | 7 | 2021-04-10T15:03:37.000Z | 2021-07-05T02:49:51.000Z | examples/pure_jax.py | kingoflolz/DALL-E | d3f3e9a57a31b1e1cc74a449a9e6e5a0442f0ac7 | [
"MIT"
] | null | null | null | examples/pure_jax.py | kingoflolz/DALL-E | d3f3e9a57a31b1e1cc74a449a9e6e5a0442f0ac7 | [
"MIT"
] | 1 | 2021-10-01T07:47:41.000Z | 2021-10-01T07:47:41.000Z | import io
import jax
import requests
import PIL
from PIL import ImageOps
import numpy as np
import jax.numpy as jnp
from dall_e_jax import get_encoder, get_decoder, map_pixels, unmap_pixels
target_image_size = 256
def download_image(url):
resp = requests.get(url)
resp.raise_for_status()
return PIL.Ima... | 26.444444 | 110 | 0.730252 | import io
import jax
import requests
import PIL
from PIL import ImageOps
import numpy as np
import jax.numpy as jnp
from dall_e_jax import get_encoder, get_decoder, map_pixels, unmap_pixels
target_image_size = 256
def download_image(url):
resp = requests.get(url)
resp.raise_for_status()
return PIL.Ima... | true | true |
f72cbbad2bdf77b532dac0c510c9856f9ed9388e | 12,421 | py | Python | src/run_joint_confidence_cdcOriginalGan.py | williamsashbee/Confident_classifier | cba3ef862b310afc3af6c4a62b524f032f45549e | [
"MIT"
] | null | null | null | src/run_joint_confidence_cdcOriginalGan.py | williamsashbee/Confident_classifier | cba3ef862b310afc3af6c4a62b524f032f45549e | [
"MIT"
] | null | null | null | src/run_joint_confidence_cdcOriginalGan.py | williamsashbee/Confident_classifier | cba3ef862b310afc3af6c4a62b524f032f45549e | [
"MIT"
] | null | null | null | ##############################################
# This code is based on samples from pytorch #
##############################################
# Writer: Kimin Lee
from __future__ import print_function
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import d... | 37.3003 | 132 | 0.622494 |
from __future__ import print_function
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import data_loader
import numpy as np
import torchvision.utils as vutils
import models
from torchvision import datasets, transforms
from torch.autograd import Variable
i... | true | true |
f72cbd007d1006b7c1318b34026adba9042de0cd | 5,497 | py | Python | tb_rest_client/models/models_ce/page_data_ota_package_info.py | jernkuan/thingsboard-python-rest-client | 3fb25272507494e6d494b27ca2380d3c543562e5 | [
"Apache-2.0"
] | null | null | null | tb_rest_client/models/models_ce/page_data_ota_package_info.py | jernkuan/thingsboard-python-rest-client | 3fb25272507494e6d494b27ca2380d3c543562e5 | [
"Apache-2.0"
] | null | null | null | tb_rest_client/models/models_ce/page_data_ota_package_info.py | jernkuan/thingsboard-python-rest-client | 3fb25272507494e6d494b27ca2380d3c543562e5 | [
"Apache-2.0"
] | 1 | 2021-11-26T11:24:56.000Z | 2021-11-26T11:24:56.000Z | # coding: utf-8
"""
ThingsBoard REST API
For instructions how to authorize requests please visit <a href='http://thingsboard.io/docs/reference/rest-api/'>REST API documentation page</a>. # noqa: E501
OpenAPI spec version: 2.0
Contact: info@thingsboard.io
Generated by: https://github.com/swagger-... | 29.084656 | 163 | 0.593778 |
import pprint
import re
import six
class PageDataOtaPackageInfo(object):
swagger_types = {
'data': 'list[OtaPackageInfo]',
'has_next': 'bool',
'total_elements': 'int',
'total_pages': 'int'
}
attribute_map = {
'data': 'data',
'has_next': 'hasNext',
... | true | true |
f72cbd8032bfba00a07e989b6b537df95ff4361b | 8,128 | py | Python | Chapter2/LFM.py | 7125messi/rencommend_system_learning | 4a8bcef241c4c0357cfbe4d1a9828b847974b69c | [
"Apache-2.0"
] | 3 | 2019-10-10T15:49:42.000Z | 2020-05-31T07:39:10.000Z | Chapter2/LFM.py | 7125messi/rencommend_system_learning | 4a8bcef241c4c0357cfbe4d1a9828b847974b69c | [
"Apache-2.0"
] | null | null | null | Chapter2/LFM.py | 7125messi/rencommend_system_learning | 4a8bcef241c4c0357cfbe4d1a9828b847974b69c | [
"Apache-2.0"
] | 2 | 2019-09-18T07:59:48.000Z | 2020-01-16T15:00:48.000Z | # 导入包
import random
import math
import numpy as np
import time
from tqdm import tqdm
from tqdm import trange
# 1 通用函数定义
## 定义装饰器，监控运行时间
def timmer(func):
def wrapper(*args, **kwargs):
start_time = time.time()
res = func(*args, **kwargs)
stop_time = time.time()
print('Func {},run tim... | 29.028571 | 93 | 0.506275 | import random
import math
import numpy as np
import time
from tqdm import tqdm
from tqdm import trange
def timmer(func):
def wrapper(*args, **kwargs):
start_time = time.time()
res = func(*args, **kwargs)
stop_time = time.time()
print('Func {},run time:{}'.format(func.__name__,stop_t... | true | true |
f72cbd82ce65ea7deeb9b12673a6fa17f65eaeaa | 2,015 | py | Python | intake_questgdal/base.py | Aquaveo/intake_questgdal | c11cd111a53b7270391c6923d0e252c4abbbc56b | [
"BSD-3-Clause"
] | null | null | null | intake_questgdal/base.py | Aquaveo/intake_questgdal | c11cd111a53b7270391c6923d0e252c4abbbc56b | [
"BSD-3-Clause"
] | 1 | 2019-06-06T15:28:15.000Z | 2019-06-06T15:28:15.000Z | intake_questgdal/base.py | Aquaveo/intake_questgdal | c11cd111a53b7270391c6923d0e252c4abbbc56b | [
"BSD-3-Clause"
] | null | null | null | from intake.source.base import DataSource, Schema
import rasterio
import xarray as xr
import warnings
# from . import __version__
class quest_gdal_base(DataSource):
"""Reads an HDF5 table
Parameters
----------
path: str
File to load.
tablename: str
Name of table to load.
metad... | 26.168831 | 72 | 0.4933 | from intake.source.base import DataSource, Schema
import rasterio
import xarray as xr
import warnings
class quest_gdal_base(DataSource):
version = '0.0.1'
container = 'dataframe'
partition_access = False
path = ''
def _get_schema(self):
if self.pat... | true | true |
f72cbdde941379a53be16076b51cf17c429ca67d | 6,353 | py | Python | mooringlicensing/management/commands/approval_renewal_notices.py | jawaidm/mooringlicensing | b22e74209da8655c8ad3af99e00f36d17c8ef73f | [
"Apache-2.0"
] | null | null | null | mooringlicensing/management/commands/approval_renewal_notices.py | jawaidm/mooringlicensing | b22e74209da8655c8ad3af99e00f36d17c8ef73f | [
"Apache-2.0"
] | 2 | 2021-03-05T06:48:11.000Z | 2021-03-26T08:14:17.000Z | mooringlicensing/management/commands/approval_renewal_notices.py | jawaidm/mooringlicensing | b22e74209da8655c8ad3af99e00f36d17c8ef73f | [
"Apache-2.0"
] | 2 | 2021-09-19T15:45:19.000Z | 2021-10-05T05:07:41.000Z | from django.core.management.base import BaseCommand
from django.utils import timezone
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.db.models import Q
from mooringlicensing.components.approvals.models import (
Approval,
WaitingListAllocation,
AnnualAdmi... | 45.705036 | 160 | 0.668346 | from django.core.management.base import BaseCommand
from django.utils import timezone
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.db.models import Q
from mooringlicensing.components.approvals.models import (
Approval,
WaitingListAllocation,
AnnualAdmi... | true | true |
f72cbe35893af2f1b2c363e8fe4e587be57b909c | 6,321 | py | Python | InterventionsMIP/main.py | haoxiangyang89/COVID_Staged_Alert | 4c2cc5ef1d38c140875380a5f10a0fe1eaf8a47a | [
"MIT"
] | 1 | 2021-06-24T19:27:01.000Z | 2021-06-24T19:27:01.000Z | InterventionsMIP/main.py | haoxiangyang89/COVID_Staged_Alert | 4c2cc5ef1d38c140875380a5f10a0fe1eaf8a47a | [
"MIT"
] | null | null | null | InterventionsMIP/main.py | haoxiangyang89/COVID_Staged_Alert | 4c2cc5ef1d38c140875380a5f10a0fe1eaf8a47a | [
"MIT"
] | 3 | 2021-12-15T13:32:25.000Z | 2022-02-24T13:57:07.000Z | from InterventionsMIP import project_path, instances_path
import multiprocessing as mp
from threshold_policy import threshold_policy_search
from interventions import Intervension
from epi_params import EpiSetup, ParamDistribution
from utils import parse_arguments
from reporting.plotting import plot_stoch_simulations
f... | 64.5 | 150 | 0.424933 | from InterventionsMIP import project_path, instances_path
import multiprocessing as mp
from threshold_policy import threshold_policy_search
from interventions import Intervension
from epi_params import EpiSetup, ParamDistribution
from utils import parse_arguments
from reporting.plotting import plot_stoch_simulations
f... | true | true |
f72cbe73762b18771ed1651cd35031464722fae9 | 19,152 | py | Python | official/nlp/transformer/transformer_main.py | 873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | [
"Apache-2.0"
] | 4 | 2020-03-13T14:01:32.000Z | 2021-05-31T17:17:32.000Z | official/nlp/transformer/transformer_main.py | 873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | [
"Apache-2.0"
] | 10 | 2019-12-28T21:31:19.000Z | 2020-04-12T20:01:58.000Z | official/nlp/transformer/transformer_main.py | 873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | [
"Apache-2.0"
] | 8 | 2020-04-12T04:30:33.000Z | 2021-09-17T20:54:44.000Z | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 38.457831 | 80 | 0.688753 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import tempfile
from absl import app
from absl import flags
from absl import logging
import tensorflow as tf
from official.modeling import performance
from official.nlp.transformer import compute_bl... | true | true |
f72cbea6b5b5fb4a9f0c9efd4d8092605bb087d6 | 18,884 | py | Python | src/sentry/models/dsymfile.py | percipient/sentry | 84c6f75ab40e12677c81d9210c3fe8ad66d7a0c3 | [
"BSD-3-Clause"
] | null | null | null | src/sentry/models/dsymfile.py | percipient/sentry | 84c6f75ab40e12677c81d9210c3fe8ad66d7a0c3 | [
"BSD-3-Clause"
] | 8 | 2019-12-28T23:49:55.000Z | 2022-03-02T04:34:18.000Z | src/sentry/models/dsymfile.py | percipient/sentry | 84c6f75ab40e12677c81d9210c3fe8ad66d7a0c3 | [
"BSD-3-Clause"
] | null | null | null | """
sentry.models.dsymfile
~~~~~~~~~~~~~~~~~~~~~~
:copyright: (c) 2010-2016 by the Sentry Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from __future__ import absolute_import
import os
import shutil
import hashlib
import six
import tempfile
from requests.exceptions import Reque... | 32.061121 | 81 | 0.54157 |
from __future__ import absolute_import
import os
import shutil
import hashlib
import six
import tempfile
from requests.exceptions import RequestException
from jsonfield import JSONField
from itertools import chain
from django.db import models, router, transaction, connection, IntegrityError
from django.utils import ... | true | true |
f72cbf17e64a21584865047b98978bd2193a31f9 | 53,060 | py | Python | graphics/basic_plot_functions.py | JCSDA/mpas-jedi | e0780d1fd295912ee4cfb758854c52b6764d4ab9 | [
"Apache-2.0"
] | 2 | 2021-09-25T01:20:10.000Z | 2021-12-17T18:44:53.000Z | graphics/basic_plot_functions.py | JCSDA/mpas-jedi | e0780d1fd295912ee4cfb758854c52b6764d4ab9 | [
"Apache-2.0"
] | null | null | null | graphics/basic_plot_functions.py | JCSDA/mpas-jedi | e0780d1fd295912ee4cfb758854c52b6764d4ab9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
from copy import deepcopy
import cartopy.crs as ccrs
import datetime as dt
import logging
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
import matplotlib
matplotlib.use('AGG')
import matplotlib.axes as maxes
import matplotlib.cm as cm
import matplotl... | 35.827144 | 115 | 0.561006 |
from copy import deepcopy
import cartopy.crs as ccrs
import datetime as dt
import logging
from pandas.plotting import register_matplotlib_converters
register_matplotlib_converters()
import matplotlib
matplotlib.use('AGG')
import matplotlib.axes as maxes
import matplotlib.cm as cm
import matplotlib.colors as colors
fro... | true | true |
f72cbfd0caae91239053996913ba8621fe6047da | 636 | py | Python | RestaurantReview/manage.py | sehyun-seankim/Django_project_restaurant_review | 5d2eb90486f8064aec16538a71c667d830d3db37 | [
"MIT"
] | null | null | null | RestaurantReview/manage.py | sehyun-seankim/Django_project_restaurant_review | 5d2eb90486f8064aec16538a71c667d830d3db37 | [
"MIT"
] | null | null | null | RestaurantReview/manage.py | sehyun-seankim/Django_project_restaurant_review | 5d2eb90486f8064aec16538a71c667d830d3db37 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'RestaurantReview.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
rai... | 28.909091 | 80 | 0.687107 | import os
import sys
def main():
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'RestaurantReview.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and... | true | true |
f72cbfdf7f7c4f11bbe1601b54f70466e1e3e688 | 5,321 | py | Python | slackclient/_response.py | lovexi/CodingMonkey-Bot-Python-version | 52561d2b15a78119769099d304a98f80da53a010 | [
"MIT"
] | null | null | null | slackclient/_response.py | lovexi/CodingMonkey-Bot-Python-version | 52561d2b15a78119769099d304a98f80da53a010 | [
"MIT"
] | null | null | null | slackclient/_response.py | lovexi/CodingMonkey-Bot-Python-version | 52561d2b15a78119769099d304a98f80da53a010 | [
"MIT"
] | null | null | null | import json
import random
import math
import os
from crawling._twitter import twitter_crawling
class Response(object):
def __init__(self, token):
self.name = ""
self.token = token
self.greetingList = ['Hello {}, welcome to the Equifax Hackathon channel! Have fun :). You can type help for mo... | 58.472527 | 153 | 0.516256 | import json
import random
import math
import os
from crawling._twitter import twitter_crawling
class Response(object):
def __init__(self, token):
self.name = ""
self.token = token
self.greetingList = ['Hello {}, welcome to the Equifax Hackathon channel! Have fun :). You can type help for mo... | true | true |
f72cc038fe01f625fd75044fc25d9c661707b934 | 241 | py | Python | fabfile/__init__.py | lem-usp/Bio507 | 67b8f8f677e6c1f39ad257d456f0cc0cac289022 | [
"MIT"
] | null | null | null | fabfile/__init__.py | lem-usp/Bio507 | 67b8f8f677e6c1f39ad257d456f0cc0cac289022 | [
"MIT"
] | null | null | null | fabfile/__init__.py | lem-usp/Bio507 | 67b8f8f677e6c1f39ad257d456f0cc0cac289022 | [
"MIT"
] | null | null | null | from fabric.state import output
from .development import *
#
# Fabric configuration
#
output['debug'] = False # see full command list
def help():
''' Fabfile documentation '''
local('python -c "import fabfile; help(fabfile)"')
| 16.066667 | 54 | 0.680498 | from fabric.state import output
from .development import *
output['debug'] = False
def help():
local('python -c "import fabfile; help(fabfile)"')
| true | true |
f72cc0e34bd07cf91c3cd084ab5e50132bdbe531 | 5,036 | py | Python | sahara/plugins/vanilla/hadoop2/validation.py | hortonworksqe/sahara | b8edeaf2b6a475728bf9fd2ddc3a860dc6c23270 | [
"Apache-2.0"
] | 1 | 2016-04-13T17:07:05.000Z | 2016-04-13T17:07:05.000Z | sahara/plugins/vanilla/hadoop2/validation.py | hortonworksqe/sahara | b8edeaf2b6a475728bf9fd2ddc3a860dc6c23270 | [
"Apache-2.0"
] | null | null | null | sahara/plugins/vanilla/hadoop2/validation.py | hortonworksqe/sahara | b8edeaf2b6a475728bf9fd2ddc3a860dc6c23270 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2014 Mirantis Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | 41.619835 | 79 | 0.633241 |
from sahara.plugins.general import exceptions as ex
from sahara.plugins.general import utils as u
from sahara.plugins.vanilla.hadoop2 import config_helper as cu
from sahara.plugins.vanilla import utils as vu
from sahara.utils import general as gu
def validate_cluster_creating(pctx, cluster):
nn_count = _get_inst... | true | true |
f72cc0fbea74a83a8775b2c4a4948f97cf3aff29 | 5,959 | py | Python | DeepReinforcementLearning/funcs.py | Christoper-Harvey/1st-Capstone | 93630a4d5f4a2d939c8b5f74f11b5b33052e3f72 | [
"MIT"
] | 1 | 2019-06-13T13:11:52.000Z | 2019-06-13T13:11:52.000Z | DeepReinforcementLearning/funcs.py | Christoper-Harvey/1st-Capstone | 93630a4d5f4a2d939c8b5f74f11b5b33052e3f72 | [
"MIT"
] | null | null | null | DeepReinforcementLearning/funcs.py | Christoper-Harvey/1st-Capstone | 93630a4d5f4a2d939c8b5f74f11b5b33052e3f72 | [
"MIT"
] | 2 | 2019-04-30T19:14:11.000Z | 2019-06-13T13:11:57.000Z | import numpy as np
import random
import loggers as lg
from game import Game, GameState
from model import Residual_CNN
from agent import Agent, User
import config
def playMatchesBetweenVersions(env, run_version, player1version, player2version, EPISODES, logger, turns_until_tau0, goes_first = 0):
if player1... | 41.096552 | 167 | 0.545058 | import numpy as np
import random
import loggers as lg
from game import Game, GameState
from model import Residual_CNN
from agent import Agent, User
import config
def playMatchesBetweenVersions(env, run_version, player1version, player2version, EPISODES, logger, turns_until_tau0, goes_first = 0):
if player1... | true | true |
f72cc221951afaa2a1888c4d748a5068c84f56dc | 3,916 | py | Python | topasgraphsim/src/functions/dp.py | sebasj13/topas-create-graphs | 5ccdbcbbe39461917cc015aa59805e518421431c | [
"MIT"
] | 1 | 2021-12-20T10:56:40.000Z | 2021-12-20T10:56:40.000Z | topasgraphsim/src/functions/dp.py | sebasj13/topas-create-graphs | 5ccdbcbbe39461917cc015aa59805e518421431c | [
"MIT"
] | null | null | null | topasgraphsim/src/functions/dp.py | sebasj13/topas-create-graphs | 5ccdbcbbe39461917cc015aa59805e518421431c | [
"MIT"
] | 1 | 2021-12-26T06:29:22.000Z | 2021-12-26T06:29:22.000Z | import numpy as np
import scipy.integrate as integrate
import scipy.interpolate as interpolate
def calculate_parameters(axis, dose, cax=False):
"""
A function to calculate the relevant
descriptive parameters of dose profiles.
"""
interpolated_axis = np.linspace(axis[0], axis[-1], len(axis) * 100... | 27.77305 | 88 | 0.516854 | import numpy as np
import scipy.integrate as integrate
import scipy.interpolate as interpolate
def calculate_parameters(axis, dose, cax=False):
interpolated_axis = np.linspace(axis[0], axis[-1], len(axis) * 100)
akima_dose_interpolator = interpolate.Akima1DInterpolator(axis, dose)
interpolated_dose = np... | true | true |
f72cc242a75bff056fc4182f50f291db178b0519 | 5,780 | py | Python | sonarqube/community/user_groups.py | 0x646e78/python-sonarqube-api | c641ab4dd180b4184f2663bd28277aa796b36417 | [
"MIT"
] | null | null | null | sonarqube/community/user_groups.py | 0x646e78/python-sonarqube-api | c641ab4dd180b4184f2663bd28277aa796b36417 | [
"MIT"
] | null | null | null | sonarqube/community/user_groups.py | 0x646e78/python-sonarqube-api | c641ab4dd180b4184f2663bd28277aa796b36417 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @Author: Jialiang Shi
from sonarqube.utils.rest_client import RestClient
from sonarqube.utils.config import (
API_USER_GROUPS_SEARCH_ENDPOINT,
API_USER_GROUPS_CREATE_ENDPOINT,
API_USER_GROUPS_DELETE_ENDPOINT,
API_USER_GROUPS_UPDATE_ENDPOINT,
API_USER_GR... | 30.582011 | 120 | 0.59654 | from sonarqube.utils.rest_client import RestClient
from sonarqube.utils.config import (
API_USER_GROUPS_SEARCH_ENDPOINT,
API_USER_GROUPS_CREATE_ENDPOINT,
API_USER_GROUPS_DELETE_ENDPOINT,
API_USER_GROUPS_UPDATE_ENDPOINT,
API_USER_GROUPS_USERS_ENDPOINT,
API_USER_GROUPS_ADD_USER_ENDPOINT,
API_U... | true | true |
f72cc2a756c43756ba71fb67aa4ae3e1efa74f2f | 5,550 | py | Python | userbot/modules/locks.py | RiSecID/Auto | d06ef712666a35ddbf0c123dbb86705096cbbb56 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 1 | 2020-04-10T13:11:46.000Z | 2020-04-10T13:11:46.000Z | userbot/modules/locks.py | RiSecID/Auto | d06ef712666a35ddbf0c123dbb86705096cbbb56 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | null | null | null | userbot/modules/locks.py | RiSecID/Auto | d06ef712666a35ddbf0c123dbb86705096cbbb56 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 1 | 2020-12-02T14:59:04.000Z | 2020-12-02T14:59:04.000Z | # Copyright (C) 2019 The Raphielscape Company LLC.
#
# Licensed under the Raphielscape Public License, Version 1.c (the "License");
# you may not use this file except in compliance with the License.
from telethon.tl.functions.messages import EditChatDefaultBannedRightsRequest
from telethon.tl.types import ChatBa... | 29.057592 | 80 | 0.544505 |
from telethon.tl.functions.messages import EditChatDefaultBannedRightsRequest
from telethon.tl.types import ChatBannedRights
from userbot import CMD_HELP
from userbot.events import register
@register(outgoing=True, pattern=r"^.lock ?(.*)")
async def locks(event):
input_str = event.pattern_match.group(... | true | true |
f72cc5c07d47e87c78a7d4236d54674e5f436c66 | 230 | py | Python | pycones/sponsorship/managers.py | python-spain/PyConES2015 | af78ad7f1d7df747a2f5428be87a5b061457dd24 | [
"MIT"
] | null | null | null | pycones/sponsorship/managers.py | python-spain/PyConES2015 | af78ad7f1d7df747a2f5428be87a5b061457dd24 | [
"MIT"
] | null | null | null | pycones/sponsorship/managers.py | python-spain/PyConES2015 | af78ad7f1d7df747a2f5428be87a5b061457dd24 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
class SponsorManager(models.Manager):
def active(self):
return self.get_query_set().filter(active=True).order_by("level")
| 23 | 73 | 0.726087 | from __future__ import unicode_literals
from django.db import models
class SponsorManager(models.Manager):
def active(self):
return self.get_query_set().filter(active=True).order_by("level")
| true | true |
f72cc5f2ca3bea87b59576ba3da7939aab82e2af | 116 | py | Python | URI/1 - INICIANTE/Python/1759 - HoHoHo.py | william-james-pj/LogicaProgramacao | 629f746e34da2e829dc7ea2e489ac36bb1b1fb13 | [
"MIT"
] | 1 | 2020-04-14T16:48:16.000Z | 2020-04-14T16:48:16.000Z | URI/1 - INICIANTE/Python/1759 - HoHoHo.py | william-james-pj/LogicaProgramacao | 629f746e34da2e829dc7ea2e489ac36bb1b1fb13 | [
"MIT"
] | null | null | null | URI/1 - INICIANTE/Python/1759 - HoHoHo.py | william-james-pj/LogicaProgramacao | 629f746e34da2e829dc7ea2e489ac36bb1b1fb13 | [
"MIT"
] | null | null | null | n = int(input())
for y in range(0, n):
if(y == n-1):
print('Ho!')
else:
print('Ho', end=' ') | 19.333333 | 28 | 0.413793 | n = int(input())
for y in range(0, n):
if(y == n-1):
print('Ho!')
else:
print('Ho', end=' ') | true | true |
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