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class | is_sharp_comment_removed bool 1
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f74d4c898d06df910c626ea36dbe108ca83084bc | 2,863 | py | Python | azext_iot/sdk/iothub/device/models/module_py3.py | lucadruda/azure-iot-cli-extension | 9d2f677d19580f8fbac860e079550167e743a237 | [
"MIT"
] | 79 | 2017-09-25T19:29:17.000Z | 2022-03-30T20:55:57.000Z | azext_iot/sdk/iothub/device/models/module_py3.py | lucadruda/azure-iot-cli-extension | 9d2f677d19580f8fbac860e079550167e743a237 | [
"MIT"
] | 305 | 2018-01-17T01:12:10.000Z | 2022-03-23T22:38:11.000Z | azext_iot/sdk/iothub/device/models/module_py3.py | lucadruda/azure-iot-cli-extension | 9d2f677d19580f8fbac860e079550167e743a237 | [
"MIT"
] | 69 | 2017-11-14T00:30:46.000Z | 2022-03-01T17:11:45.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 43.378788 | 295 | 0.655955 |
from msrest.serialization import Model
class Module(Model):
_attribute_map = {
'module_id': {'key': 'moduleId', 'type': 'str'},
'managed_by': {'key': 'managedBy', 'type': 'str'},
'device_id': {'key': 'deviceId', 'type': 'str'},
'generation_id': {'key': 'generationId', '... | true | true |
f74d4cfa9ec159f9f20397cf8ade3a0d19fcc9cf | 11,669 | py | Python | clients/kratos/python/ory_kratos_client/model/json_error.py | tobbbles/sdk | 017ca2fd46019bafd1853913b6c0f2b0fe687621 | [
"Apache-2.0"
] | null | null | null | clients/kratos/python/ory_kratos_client/model/json_error.py | tobbbles/sdk | 017ca2fd46019bafd1853913b6c0f2b0fe687621 | [
"Apache-2.0"
] | null | null | null | clients/kratos/python/ory_kratos_client/model/json_error.py | tobbbles/sdk | 017ca2fd46019bafd1853913b6c0f2b0fe687621 | [
"Apache-2.0"
] | null | null | null | """
Ory Kratos API
Documentation for all public and administrative Ory Kratos APIs. Public and administrative APIs are exposed on different ports. Public APIs can face the public internet without any protection while administrative APIs should never be exposed without prior authorization. To protect the admini... | 43.379182 | 446 | 0.579655 |
import re
import sys
from ory_kratos_client.model_utils import (
ApiTypeError,
ModelComposed,
ModelNormal,
ModelSimple,
cached_property,
change_keys_js_to_python,
convert_js_args_to_python_args,
date,
datetime,
file_type,
none_type,
validate_get_composed_info,
)
... | true | true |
f74d4d84fdf27373fc50cc41637eccc1336f4f87 | 1,094 | py | Python | procurement_portal/records/admin.py | TomaszKolek/procurement-portal-backend | d51e4e2d2df87e6cddabbe56ddaa813daa96c613 | [
"MIT"
] | null | null | null | procurement_portal/records/admin.py | TomaszKolek/procurement-portal-backend | d51e4e2d2df87e6cddabbe56ddaa813daa96c613 | [
"MIT"
] | null | null | null | procurement_portal/records/admin.py | TomaszKolek/procurement-portal-backend | d51e4e2d2df87e6cddabbe56ddaa813daa96c613 | [
"MIT"
] | null | null | null | from django.contrib import admin
from . import models
class DatasetVersionInline(admin.TabularInline):
model = models.DatasetVersion
class DatasetAdmin(admin.ModelAdmin):
inlines = [
DatasetVersionInline,
]
admin.site.register(models.Repository)
admin.site.register(models.Dataset, DatasetAdmi... | 21.45098 | 63 | 0.647166 | from django.contrib import admin
from . import models
class DatasetVersionInline(admin.TabularInline):
model = models.DatasetVersion
class DatasetAdmin(admin.ModelAdmin):
inlines = [
DatasetVersionInline,
]
admin.site.register(models.Repository)
admin.site.register(models.Dataset, DatasetAdmi... | true | true |
f74d4dec37d2b0081fdcb1c6eadef8e7acc5d6e6 | 2,206 | py | Python | src/jukeboxcore/gui/widgets/releasewin_ui.py | JukeboxPipeline/jukebox-core | bac2280ca49940355270e4b69400ce9976ab2e6f | [
"BSD-3-Clause"
] | 2 | 2015-01-22T17:39:10.000Z | 2015-03-31T09:03:24.000Z | src/jukeboxcore/gui/widgets/releasewin_ui.py | JukeboxPipeline/jukebox-core | bac2280ca49940355270e4b69400ce9976ab2e6f | [
"BSD-3-Clause"
] | 3 | 2016-10-28T16:11:14.000Z | 2020-06-05T17:46:08.000Z | src/jukeboxcore/gui/widgets/releasewin_ui.py | JukeboxPipeline/jukebox-core | bac2280ca49940355270e4b69400ce9976ab2e6f | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'h:\projects\jukebox-core\src\jukeboxcore\gui\widgets\releasewin.ui'
#
# Created: Mon Nov 03 16:58:04 2014
# by: pyside-uic 0.2.15 running on PySide 1.2.2
#
# WARNING! All changes made in this file will be lost!
from PySide import QtCor... | 45.958333 | 130 | 0.724841 |
from PySide import QtCore, QtGui
class Ui_release_mwin(object):
def setupUi(self, release_mwin):
release_mwin.setObjectName("release_mwin")
release_mwin.resize(1009, 764)
self.central_widget = QtGui.QWidget(release_mwin)
self.central_widget.setObjectName("central_widget")
... | true | true |
f74d4ea81a9154afa5e1374b5fd8c7a2281084e6 | 822 | py | Python | configs/paths_config.py | johnberg1/psp_s | 717f4c448a4e7537cf4b74067d454c7644609ca3 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT"
] | null | null | null | configs/paths_config.py | johnberg1/psp_s | 717f4c448a4e7537cf4b74067d454c7644609ca3 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT"
] | null | null | null | configs/paths_config.py | johnberg1/psp_s | 717f4c448a4e7537cf4b74067d454c7644609ca3 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT"
] | null | null | null | dataset_paths = {
'celeba_train': '/scratch/users/abaykal20/sam/SAM/mmcelebhq/train_images/',
'celeba_test': '/scratch/users/abaykal20/sam/SAM/mmcelebhq/test_images/',
'celeba_train_sketch': '',
'celeba_test_sketch': '',
'celeba_train_segmentation': '',
'celeba_test_segmentation': '',
'ffhq': '/datasets/CelebAMa... | 39.142857 | 76 | 0.76399 | dataset_paths = {
'celeba_train': '/scratch/users/abaykal20/sam/SAM/mmcelebhq/train_images/',
'celeba_test': '/scratch/users/abaykal20/sam/SAM/mmcelebhq/test_images/',
'celeba_train_sketch': '',
'celeba_test_sketch': '',
'celeba_train_segmentation': '',
'celeba_test_segmentation': '',
'ffhq': '/datasets/CelebAMa... | true | true |
f74d4ec19a65c1d8761a4cea1f879e5436e70e76 | 18,208 | py | Python | LogSystem_JE/venv/Lib/site-packages/pygments/lexers/factor.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | LogSystem_JE/venv/Lib/site-packages/pygments/lexers/factor.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | LogSystem_JE/venv/Lib/site-packages/pygments/lexers/factor.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
pygments.lexers.factor
~~~~~~~~~~~~~~~~~~~~~~
Lexers for the Factor language.
:copyright: Copyright 2006-2020 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import re
from pygments.lexer import RegexLexer, bygroups, default... | 52.776812 | 107 | 0.50033 |
import re
from pygments.lexer import RegexLexer, bygroups, default, words
from pygments.token import Text, Comment, Keyword, Name, String, Number
__all__ = ['FactorLexer']
class FactorLexer(RegexLexer):
name = 'Factor'
aliases = ['factor']
filenames = ['*.factor']
mimetypes = ['text/x... | true | true |
f74d4f5af0f2eacfd823e2154327603a10098491 | 6,914 | py | Python | LeetCode/hard/binary_tree_maximum_path_sum.py | hnc01/online-judge | d306dc32c9d8600a987affbe4e4b80809f0b0982 | [
"MIT"
] | null | null | null | LeetCode/hard/binary_tree_maximum_path_sum.py | hnc01/online-judge | d306dc32c9d8600a987affbe4e4b80809f0b0982 | [
"MIT"
] | null | null | null | LeetCode/hard/binary_tree_maximum_path_sum.py | hnc01/online-judge | d306dc32c9d8600a987affbe4e4b80809f0b0982 | [
"MIT"
] | null | null | null | '''
https://leetcode.com/problems/binary-tree-maximum-path-sum/
124. Binary Tree Maximum Path Sum
A path in a binary tree is a sequence of nodes where each pair of adjacent nodes in the sequence has
an edge connecting them. A node can only appear in the sequence at most once. Note that the path does n... | 38.842697 | 140 | 0.633353 | import random
class TreeNode:
def __init__(self, val=0, left=None, right=None):
self.val = val
self.left = left
self.right = right
class Solution:
def maxPathSum(self, root: [TreeNode]) -> int:
def maxPathSumHelper(node):
if node is None:
... | true | true |
f74d50ca0a5b67a157ee8d47a0cfa49b431650b0 | 6,136 | py | Python | tests/test_filealchemy.py | calpt/flask-filealchemy | b3575299f0230d5a64865af8066122c2e0c485ec | [
"MIT"
] | null | null | null | tests/test_filealchemy.py | calpt/flask-filealchemy | b3575299f0230d5a64865af8066122c2e0c485ec | [
"MIT"
] | null | null | null | tests/test_filealchemy.py | calpt/flask-filealchemy | b3575299f0230d5a64865af8066122c2e0c485ec | [
"MIT"
] | null | null | null | from textwrap import dedent
import pytest
from sqlalchemy import Column, ForeignKey, String, Text
from sqlalchemy.orm import relationship
from flask_filealchemy import FileAlchemy, LoadError
def test_directory_does_not_exist(db):
app = db.get_app()
class Author(db.Model):
__tablename__ = 'authors'
... | 25.044898 | 67 | 0.605443 | from textwrap import dedent
import pytest
from sqlalchemy import Column, ForeignKey, String, Text
from sqlalchemy.orm import relationship
from flask_filealchemy import FileAlchemy, LoadError
def test_directory_does_not_exist(db):
app = db.get_app()
class Author(db.Model):
__tablename__ = 'authors'
... | true | true |
f74d50d6ed0e8ce2ffae743a640212a4bb68d598 | 7,423 | py | Python | kubernetes_asyncio/client/models/v1beta1_validating_webhook_configuration_list.py | playground-julia/kubernetes_asyncio | 91b2c41eedd282d9ebc059377fb7f207e220133d | [
"Apache-2.0"
] | null | null | null | kubernetes_asyncio/client/models/v1beta1_validating_webhook_configuration_list.py | playground-julia/kubernetes_asyncio | 91b2c41eedd282d9ebc059377fb7f207e220133d | [
"Apache-2.0"
] | null | null | null | kubernetes_asyncio/client/models/v1beta1_validating_webhook_configuration_list.py | playground-julia/kubernetes_asyncio | 91b2c41eedd282d9ebc059377fb7f207e220133d | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Kubernetes
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: v1.15.9
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
fr... | 36.033981 | 295 | 0.652432 |
import pprint
import re
import six
from kubernetes_asyncio.client.configuration import Configuration
class V1beta1ValidatingWebhookConfigurationList(object):
openapi_types = {
'api_version': 'str',
'items': 'list[V1beta1ValidatingWebhookConfiguration]',
'kind': 'str',
'met... | true | true |
f74d519e41f8b45eb1aa661ada3477ccfe039409 | 390 | py | Python | examples/migrations/0016_parsed_data_url.py | kimbackdoo/Web-Cralwer | 6a92ec00ea2273f228b8c304cd596ad9120c4709 | [
"MIT"
] | null | null | null | examples/migrations/0016_parsed_data_url.py | kimbackdoo/Web-Cralwer | 6a92ec00ea2273f228b8c304cd596ad9120c4709 | [
"MIT"
] | null | null | null | examples/migrations/0016_parsed_data_url.py | kimbackdoo/Web-Cralwer | 6a92ec00ea2273f228b8c304cd596ad9120c4709 | [
"MIT"
] | null | null | null | # Generated by Django 2.1.11 on 2020-06-08 07:45
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('examples', '0015_img_data_img_folder_path'),
]
operations = [
migrations.AddField(
model_name='parsed_data',
name='... | 20.526316 | 54 | 0.597436 |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('examples', '0015_img_data_img_folder_path'),
]
operations = [
migrations.AddField(
model_name='parsed_data',
name='url',
field=models.URLField(default=... | true | true |
f74d5267be0718666cc080e859a63fcc7b354473 | 272 | py | Python | provider/utils.py | marinewater/pyramid-social-auth | 926f230294ec6b0fdf02a5ed4113073d82a9d18c | [
"MIT"
] | 2 | 2015-02-10T01:19:21.000Z | 2016-07-24T14:40:59.000Z | provider/utils.py | marinewater/pyramid-social-auth | 926f230294ec6b0fdf02a5ed4113073d82a9d18c | [
"MIT"
] | null | null | null | provider/utils.py | marinewater/pyramid-social-auth | 926f230294ec6b0fdf02a5ed4113073d82a9d18c | [
"MIT"
] | null | null | null | from provider.facebook import FacebookProvider
providers = {
'facebook': FacebookProvider
}
def get_provider(provider):
if provider in providers:
return providers[provider]
else:
raise NotImplementedError('no provider named "%s"' % provider) | 22.666667 | 70 | 0.713235 | from provider.facebook import FacebookProvider
providers = {
'facebook': FacebookProvider
}
def get_provider(provider):
if provider in providers:
return providers[provider]
else:
raise NotImplementedError('no provider named "%s"' % provider) | true | true |
f74d53587c47812cfa6d9fda36bb51fadfd86931 | 12,231 | py | Python | splinter/driver/zopetestbrowser.py | StephenDavidson/splinter | 54620f60a565f76d6b7b43560cc5c41deebf53ab | [
"BSD-3-Clause"
] | null | null | null | splinter/driver/zopetestbrowser.py | StephenDavidson/splinter | 54620f60a565f76d6b7b43560cc5c41deebf53ab | [
"BSD-3-Clause"
] | null | null | null | splinter/driver/zopetestbrowser.py | StephenDavidson/splinter | 54620f60a565f76d6b7b43560cc5c41deebf53ab | [
"BSD-3-Clause"
] | 1 | 2015-01-09T02:04:45.000Z | 2015-01-09T02:04:45.000Z | # -*- coding: utf-8 -*-
# Copyright 2012 splinter authors. All rights reserved.
# Use of this source code is governed by a BSD-style
# license that can be found in the LICENSE file.
import re
from lxml.cssselect import CSSSelector
from zope.testbrowser.browser import Browser, ListControl
from splinter.element_list i... | 31.361538 | 126 | 0.639931 |
import re
from lxml.cssselect import CSSSelector
from zope.testbrowser.browser import Browser, ListControl
from splinter.element_list import ElementList
from splinter.exceptions import ElementDoesNotExist
from splinter.driver import DriverAPI, ElementAPI
from splinter.cookie_manager import CookieManagerAPI
impo... | true | true |
f74d56a213ee0b608fbd16b3104179e8a9ea70aa | 3,434 | py | Python | cxray/predict-cls-vis.py | aaalgo/aardvark | cdd42acdc20e85f4b3070dd1486f3dc9c9a9b905 | [
"BSD-2-Clause"
] | 2 | 2018-07-31T07:02:18.000Z | 2018-08-01T13:16:30.000Z | cxray/predict-cls-vis.py | aaalgo/aardvark | cdd42acdc20e85f4b3070dd1486f3dc9c9a9b905 | [
"BSD-2-Clause"
] | null | null | null | cxray/predict-cls-vis.py | aaalgo/aardvark | cdd42acdc20e85f4b3070dd1486f3dc9c9a9b905 | [
"BSD-2-Clause"
] | 4 | 2018-07-02T22:02:46.000Z | 2018-07-31T07:30:26.000Z | #!/usr/bin/env python3
import os
import sys
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
sys.path.append('..')
import numpy as np
import cv2
import tensorflow as tf
from tensorflow.python.framework import meta_graph
from mold import Scaling
from gallery import Gallery
from chest import *
class Model:
def __init__ (sel... | 35.770833 | 143 | 0.576296 |
import os
import sys
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
sys.path.append('..')
import numpy as np
import cv2
import tensorflow as tf
from tensorflow.python.framework import meta_graph
from mold import Scaling
from gallery import Gallery
from chest import *
class Model:
def __init__ (self, X, path, name):
... | true | true |
f74d56aad1cd5e53bec0c7c3636d700b5a4178bc | 3,668 | py | Python | securitybot/tasker/tasker.py | yanlinw/securitybot | 79c0ef1e1e5686b82739ce09cd8c44972d4edd88 | [
"Apache-2.0"
] | null | null | null | securitybot/tasker/tasker.py | yanlinw/securitybot | 79c0ef1e1e5686b82739ce09cd8c44972d4edd88 | [
"Apache-2.0"
] | null | null | null | securitybot/tasker/tasker.py | yanlinw/securitybot | 79c0ef1e1e5686b82739ce09cd8c44972d4edd88 | [
"Apache-2.0"
] | 1 | 2018-06-12T16:51:15.000Z | 2018-06-12T16:51:15.000Z | '''
A system for retrieving and assigning tasks for the bot as well as updating
their statuses once acted up. This file contains two abstract classes,
Tasker and Task, which define a class to manage tasks and a task class
respectively.
'''
__author__ = 'Alex Bertsch'
__email__ = 'abertsch@dropbox.com'
from abc import ... | 33.345455 | 98 | 0.615322 | __author__ = 'Alex Bertsch'
__email__ = 'abertsch@dropbox.com'
from abc import ABCMeta, abstractmethod
from securitybot.util import enum
class Tasker(object):
__metaclass__ = ABCMeta
@abstractmethod
def get_new_tasks(self):
pass
@abstractmethod
def get_active_tasks(self):
... | true | true |
f74d56c010fbea484f653240b0b037ca92f9794c | 1,047 | py | Python | fuzzer/fuzz.py | jamesquilty/mdformat | 54f549e57a226701c1812fb8a2b478a847172699 | [
"MIT"
] | null | null | null | fuzzer/fuzz.py | jamesquilty/mdformat | 54f549e57a226701c1812fb8a2b478a847172699 | [
"MIT"
] | null | null | null | fuzzer/fuzz.py | jamesquilty/mdformat | 54f549e57a226701c1812fb8a2b478a847172699 | [
"MIT"
] | null | null | null | import atheris
with atheris.instrument_imports():
import sys
import warnings
import mdformat
from mdformat._util import is_md_equal
# Suppress all warnings.
warnings.simplefilter("ignore")
def test_one_input(input_bytes: bytes) -> None:
# We need a Unicode string, not bytes
fdp = atheris.Fu... | 23.266667 | 85 | 0.690544 | import atheris
with atheris.instrument_imports():
import sys
import warnings
import mdformat
from mdformat._util import is_md_equal
warnings.simplefilter("ignore")
def test_one_input(input_bytes: bytes) -> None:
fdp = atheris.FuzzedDataProvider(input_bytes)
data = fdp.ConsumeUnicode(s... | true | true |
f74d57d5160a6cc6a8512d3091557526ba491b9a | 5,385 | py | Python | scripts/docking_demo.py | Open-UAV/cps_challenge_2020 | 6471e5b150a3bdea6a9c512a520e977ca1ddf432 | [
"Apache-2.0"
] | 1 | 2021-06-05T11:09:54.000Z | 2021-06-05T11:09:54.000Z | scripts/docking_demo.py | Open-UAV/cps_challenge_2020 | 6471e5b150a3bdea6a9c512a520e977ca1ddf432 | [
"Apache-2.0"
] | null | null | null | scripts/docking_demo.py | Open-UAV/cps_challenge_2020 | 6471e5b150a3bdea6a9c512a520e977ca1ddf432 | [
"Apache-2.0"
] | 2 | 2020-07-26T15:40:24.000Z | 2021-01-05T07:28:26.000Z | """
Harish
2020-05-14
"""
import rospy
from geometry_msgs.msg import PoseStamped
from mavros_msgs.msg import State, PositionTarget
import math
from mavros_msgs.srv import SetMode, CommandBool
from std_msgs.msg import String, Header
import subprocess
class OffboardControl:
""" Controller for PX4-UAV offboa... | 34.299363 | 116 | 0.564345 |
import rospy
from geometry_msgs.msg import PoseStamped
from mavros_msgs.msg import State, PositionTarget
import math
from mavros_msgs.srv import SetMode, CommandBool
from std_msgs.msg import String, Header
import subprocess
class OffboardControl:
def __init__(self):
self.curr_pose = PoseStamped()
... | true | true |
f74d5ba431e2933e346d8430e9ba9b2ad20af170 | 10,873 | py | Python | PaddleCV/PaddleDetection/tools/face_eval.py | shippingwang/models | a92e212932b764e500a833527e0fb772ac9a491a | [
"Apache-2.0"
] | 4 | 2020-01-04T13:15:02.000Z | 2021-07-21T07:50:02.000Z | PaddleCV/PaddleDetection/tools/face_eval.py | shippingwang/models | a92e212932b764e500a833527e0fb772ac9a491a | [
"Apache-2.0"
] | null | null | null | PaddleCV/PaddleDetection/tools/face_eval.py | shippingwang/models | a92e212932b764e500a833527e0fb772ac9a491a | [
"Apache-2.0"
] | 3 | 2019-10-31T07:18:49.000Z | 2020-01-13T03:18:39.000Z | # Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 36.364548 | 126 | 0.60241 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import paddle.fluid as fluid
import numpy as np
from PIL import Image
from collections import OrderedDict
import ppdet.utils.checkpoint as checkpoint
from ppdet.utils.cli import ArgsPa... | true | true |
f74d5bdc4aa52ab1c2b00688dedaa6f822a0eb7f | 513 | py | Python | joelenc/setup.py | DaMuffinDev/joel.enc | ab955215b2f4bdfe3b0db8e8d31aaf02e85e137f | [
"MIT"
] | null | null | null | joelenc/setup.py | DaMuffinDev/joel.enc | ab955215b2f4bdfe3b0db8e8d31aaf02e85e137f | [
"MIT"
] | null | null | null | joelenc/setup.py | DaMuffinDev/joel.enc | ab955215b2f4bdfe3b0db8e8d31aaf02e85e137f | [
"MIT"
] | null | null | null | from Cython.Build import cythonize
import pkg_resources
from setuptools import setup, Extension
import os
import sys
here = os.path.dirname(os.path.abspath(__file__))
extensions = []
files = {
0: "_enc_proc",
1: "_utils",
2: "_table",
3: "_encrypt",
}
for i in range(4):
filename = files[i]
exte... | 23.318182 | 116 | 0.688109 | from Cython.Build import cythonize
import pkg_resources
from setuptools import setup, Extension
import os
import sys
here = os.path.dirname(os.path.abspath(__file__))
extensions = []
files = {
0: "_enc_proc",
1: "_utils",
2: "_table",
3: "_encrypt",
}
for i in range(4):
filename = files[i]
exte... | true | true |
f74d5cb8cec7577ba18d9cf39b4840a5c1b130e7 | 7,951 | py | Python | tools/mgms/amp/dlib_face_training.py | AudiovisualMetadataPlatform/amp_mgms | 593d4f4d40b597a7753cd152cd233976e6b28c75 | [
"Apache-2.0"
] | null | null | null | tools/mgms/amp/dlib_face_training.py | AudiovisualMetadataPlatform/amp_mgms | 593d4f4d40b597a7753cd152cd233976e6b28c75 | [
"Apache-2.0"
] | 1 | 2022-02-16T16:21:03.000Z | 2022-02-16T16:21:03.000Z | tools/mgms/amp/dlib_face_training.py | AudiovisualMetadataPlatform/amp_mgms | 593d4f4d40b597a7753cd152cd233976e6b28c75 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import os
import os.path
import traceback
import shutil
import face_recognition
import cv2
import pickle
# from tqdm.notebook import tqdm
from zipfile import ZipFile
import logging
import amp.utils
FR_TRAINED_MODEL_SUFFIX = ".frt"
# Train Face Recognition model with the provided training_phot... | 48.779141 | 162 | 0.690479 |
import os
import os.path
import traceback
import shutil
import face_recognition
import cv2
import pickle
from zipfile import ZipFile
import logging
import amp.utils
FR_TRAINED_MODEL_SUFFIX = ".frt"
def train_faces(training_photos):
# unzip training_photos
facial_dir = get_facial_dir()
photos_dir =... | true | true |
f74d5d7970a4be30e22102dd3533b49bd1d8d9ad | 2,503 | py | Python | tests/integration/authorization/conftest.py | TinkoffCreditSystems/overhave | b0ab705ef5c5c5a65fa0b14b173b64fd7310e187 | [
"Apache-2.0"
] | 33 | 2021-02-01T15:49:37.000Z | 2021-12-20T00:44:43.000Z | tests/integration/authorization/conftest.py | TinkoffCreditSystems/overhave | b0ab705ef5c5c5a65fa0b14b173b64fd7310e187 | [
"Apache-2.0"
] | 46 | 2021-02-03T12:56:52.000Z | 2021-12-19T18:50:27.000Z | tests/integration/authorization/conftest.py | TinkoffCreditSystems/overhave | b0ab705ef5c5c5a65fa0b14b173b64fd7310e187 | [
"Apache-2.0"
] | 1 | 2021-12-07T09:02:44.000Z | 2021-12-07T09:02:44.000Z | from typing import List, cast
import pytest
from faker import Faker
from pydantic import SecretStr
from pytest_mock import MockFixture
from overhave import OverhaveAuthorizationSettings
from overhave.authorization import (
DefaultAdminAuthorizationManager,
LDAPAdminAuthorizationManager,
LDAPAuthenticator,... | 31.683544 | 118 | 0.805833 | from typing import List, cast
import pytest
from faker import Faker
from pydantic import SecretStr
from pytest_mock import MockFixture
from overhave import OverhaveAuthorizationSettings
from overhave.authorization import (
DefaultAdminAuthorizationManager,
LDAPAdminAuthorizationManager,
LDAPAuthenticator,... | true | true |
f74d5dab23d99d5a60e42e345d5d872d925e3993 | 6,058 | py | Python | src/train.py | DequanZhu/facenet | 78f32c2fa43217489f5b340826991780b3276fe2 | [
"MIT"
] | null | null | null | src/train.py | DequanZhu/facenet | 78f32c2fa43217489f5b340826991780b3276fe2 | [
"MIT"
] | null | null | null | src/train.py | DequanZhu/facenet | 78f32c2fa43217489f5b340826991780b3276fe2 | [
"MIT"
] | null | null | null | from __future__ import division
import os
import sys
import numpy as np
import tensorflow as tf
from tensorflow.keras.optimizers import schedules, Adam
from tensorflow.python.keras.losses import SparseCategoricalCrossentropy
from tensorflow.python.keras.metrics import SparseCategoricalAccuracy
from facenet impo... | 51.777778 | 111 | 0.612413 | from __future__ import division
import os
import sys
import numpy as np
import tensorflow as tf
from tensorflow.keras.optimizers import schedules, Adam
from tensorflow.python.keras.losses import SparseCategoricalCrossentropy
from tensorflow.python.keras.metrics import SparseCategoricalAccuracy
from facenet impo... | true | true |
f74d5e3d4b1cc76cfc73f5a32e6d9a6f6ce91f68 | 3,590 | py | Python | telegram_parser/link_generator.py | flexagoon/telegram_parser | 7f0e601c5ba03d48d889fe22561ea702db90e7bd | [
"Apache-2.0"
] | null | null | null | telegram_parser/link_generator.py | flexagoon/telegram_parser | 7f0e601c5ba03d48d889fe22561ea702db90e7bd | [
"Apache-2.0"
] | null | null | null | telegram_parser/link_generator.py | flexagoon/telegram_parser | 7f0e601c5ba03d48d889fe22561ea702db90e7bd | [
"Apache-2.0"
] | null | null | null | import random, string, itertools
def alphabets_generator():
alphabet = ['1', '2', '3','4' , '5', '6', '7', '8', '9', '0', '_']
for letter in range(97,123): #all letters except first alphabet
alphabet.append(chr(letter))
alphabet1 = [] #first letter alpha... | 37.010309 | 140 | 0.587465 | import random, string, itertools
def alphabets_generator():
alphabet = ['1', '2', '3','4' , '5', '6', '7', '8', '9', '0', '_']
for letter in range(97,123):
alphabet.append(chr(letter))
alphabet1 = []
for letter in range(97,123):
alphabet1.a... | true | true |
f74d5e4385dd68305852f86531d7d9e586cd4a4b | 2,170 | py | Python | anchors/templatetags/anchors_tags.py | Fantomas42/django-anchors | 1cedc947dd3f1ed5197e55bb96cf0c6d2e2cf430 | [
"BSD-3-Clause"
] | null | null | null | anchors/templatetags/anchors_tags.py | Fantomas42/django-anchors | 1cedc947dd3f1ed5197e55bb96cf0c6d2e2cf430 | [
"BSD-3-Clause"
] | null | null | null | anchors/templatetags/anchors_tags.py | Fantomas42/django-anchors | 1cedc947dd3f1ed5197e55bb96cf0c6d2e2cf430 | [
"BSD-3-Clause"
] | null | null | null | """Template tags for anchors app"""
try:
from urlparse import urlparse
except ImportError: # Python 3
from urllib.parse import urlparse
from bs4 import BeautifulSoup
from django import template
from django.contrib.sites.models import Site
from django.utils.safestring import mark_safe
from django.utils.html i... | 25.529412 | 60 | 0.665438 | try:
from urlparse import urlparse
except ImportError:
from urllib.parse import urlparse
from bs4 import BeautifulSoup
from django import template
from django.contrib.sites.models import Site
from django.utils.safestring import mark_safe
from django.utils.html import conditional_escape
register = template.... | true | true |
f74d5e86ffa8bd639f7c95a9d3aba0c6ad06f680 | 1,710 | py | Python | backend/surveyapi/decorator.py | sunwenquan/iSurvey | bc14a102e56b33fb4b3612b3bef98183f6e46612 | [
"Apache-2.0"
] | null | null | null | backend/surveyapi/decorator.py | sunwenquan/iSurvey | bc14a102e56b33fb4b3612b3bef98183f6e46612 | [
"Apache-2.0"
] | null | null | null | backend/surveyapi/decorator.py | sunwenquan/iSurvey | bc14a102e56b33fb4b3612b3bef98183f6e46612 | [
"Apache-2.0"
] | null | null | null | from functools import wraps
from flask import jsonify,current_app
from flask import request
import jwt
# 对token进行解码可以使用pyJWT
# pyjwt : python 实现的 JSON Web Token：
def token_required(f):
'''
验证前端发来的token信息是否合法，如果不合法，返回错误信息，不支持被装饰的函数f
如果合法，执行被装饰的函数f
'''
@wraps(f)
def __verfy(*args,**kwargs):
... | 27.142857 | 70 | 0.599415 | from functools import wraps
from flask import jsonify,current_app
from flask import request
import jwt
def token_required(f):
@wraps(f)
def __verfy(*args,**kwargs):
auth_headers = request.headers.get('Authorization','').split()
error = {
'message':'非法的token',... | true | true |
f74d608c45b40907d1dfdb4dba9a26674bcbe86a | 15,381 | py | Python | sklearn/decomposition/tests/test_incremental_pca.py | huzq/scikit-learn | f862129f36786acbae3d9f2d161bbb72d77b87ec | [
"BSD-3-Clause"
] | 1 | 2020-12-03T16:35:55.000Z | 2020-12-03T16:35:55.000Z | sklearn/decomposition/tests/test_incremental_pca.py | huzq/scikit-learn | f862129f36786acbae3d9f2d161bbb72d77b87ec | [
"BSD-3-Clause"
] | 1 | 2022-03-09T19:32:57.000Z | 2022-03-09T20:23:30.000Z | sklearn/decomposition/tests/test_incremental_pca.py | huzq/scikit-learn | f862129f36786acbae3d9f2d161bbb72d77b87ec | [
"BSD-3-Clause"
] | 1 | 2020-02-16T05:40:12.000Z | 2020-02-16T05:40:12.000Z | """Tests for Incremental PCA."""
import numpy as np
import pytest
import warnings
from sklearn.utils._testing import assert_almost_equal
from sklearn.utils._testing import assert_array_almost_equal
from sklearn.utils._testing import assert_allclose_dense_sparse
from numpy.testing import assert_array_equal
from sklear... | 34.028761 | 87 | 0.682205 | import numpy as np
import pytest
import warnings
from sklearn.utils._testing import assert_almost_equal
from sklearn.utils._testing import assert_array_almost_equal
from sklearn.utils._testing import assert_allclose_dense_sparse
from numpy.testing import assert_array_equal
from sklearn import datasets
from sklearn.de... | true | true |
f74d60bc4c744a61cce0eb0a57fda3ed8a29d3ce | 16,510 | py | Python | aa_manager.py | Austerius/AmericanAirlines-scraper | 9848f133d941e715c2a28c8e6ed99440967e908d | [
"BSD-3-Clause"
] | 1 | 2021-05-19T21:10:44.000Z | 2021-05-19T21:10:44.000Z | aa_manager.py | Austerius/AmericanAirlines-scraper | 9848f133d941e715c2a28c8e6ed99440967e908d | [
"BSD-3-Clause"
] | null | null | null | aa_manager.py | Austerius/AmericanAirlines-scraper | 9848f133d941e715c2a28c8e6ed99440967e908d | [
"BSD-3-Clause"
] | 1 | 2020-03-20T14:42:52.000Z | 2020-03-20T14:42:52.000Z | """
Script for running American Airlines scraper directly from command line.
**Requirements**:
- Selenium
- Geckodriver
- Firefox web browser
- bs4 (BeautifulSoup)
Default name for file with search queries -
'search_tasks.json'(default location - script directory).
'search_tasks.json'(and similar files) must have foll... | 46.770538 | 119 | 0.642641 | import json
import re
import datetime
import argparse
from multiprocessing import Pool
from american_airlines import AmericanAirlines
AIRPORTS_CODES = "airports.json"
NUM_PROCESSES = 4
SEARCH_TASKS = "search_tasks.json"
def get_airports_codes(airports_file):
with open(airports_file, 'r') as file:
... | true | true |
f74d618ffd0980a092c540577b8989c31c36d997 | 20,645 | py | Python | zerver/lib/streams.py | networksneaker/zulip | fae365f8c7e2d6ee041024a22b6ba5a64cbffe4e | [
"Apache-2.0"
] | 6 | 2019-05-09T20:43:20.000Z | 2022-03-29T05:53:50.000Z | zerver/lib/streams.py | networksneaker/zulip | fae365f8c7e2d6ee041024a22b6ba5a64cbffe4e | [
"Apache-2.0"
] | 2 | 2016-10-18T04:01:56.000Z | 2016-10-20T18:19:09.000Z | zerver/lib/streams.py | networksneaker/zulip | fae365f8c7e2d6ee041024a22b6ba5a64cbffe4e | [
"Apache-2.0"
] | 7 | 2016-08-10T02:24:32.000Z | 2022-03-28T15:14:18.000Z | from typing import Any, Iterable, List, Mapping, Optional, Set, Tuple, Union
from django.conf import settings
from django.db.models.query import QuerySet
from django.utils.translation import ugettext as _
from zerver.lib.bugdown import convert as bugdown_convert
from zerver.lib.request import JsonableError
from zerve... | 42.83195 | 109 | 0.675902 | from typing import Any, Iterable, List, Mapping, Optional, Set, Tuple, Union
from django.conf import settings
from django.db.models.query import QuerySet
from django.utils.translation import ugettext as _
from zerver.lib.bugdown import convert as bugdown_convert
from zerver.lib.request import JsonableError
from zerve... | true | true |
f74d62a68c94b285d8ff230d2dfbfa9539b7a73d | 994 | py | Python | google/ads/google_ads/v5/services/extension_feed_item_service_client_config.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | 1 | 2021-04-09T04:28:47.000Z | 2021-04-09T04:28:47.000Z | google/ads/google_ads/v5/services/extension_feed_item_service_client_config.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v5/services/extension_feed_item_service_client_config.py | arammaliachi/google-ads-python | a4fe89567bd43eb784410523a6306b5d1dd9ee67 | [
"Apache-2.0"
] | null | null | null | config = {
"interfaces": {
"google.ads.googleads.v5.services.ExtensionFeedItemService": {
"retry_codes": {
"idempotent": [
"DEADLINE_EXCEEDED",
"UNAVAILABLE"
],
"non_idempotent": []
},
"retry_params": {
"default": {
"initial_retry_del... | 26.864865 | 66 | 0.540241 | config = {
"interfaces": {
"google.ads.googleads.v5.services.ExtensionFeedItemService": {
"retry_codes": {
"idempotent": [
"DEADLINE_EXCEEDED",
"UNAVAILABLE"
],
"non_idempotent": []
},
"retry_params": {
"default": {
"initial_retry_del... | true | true |
f74d6326782e483fc9072b1fd0a2f0878e741540 | 6,385 | py | Python | huaweicloud-sdk-rms/huaweicloudsdkrms/v1/model/show_resource_history_request.py | githubmilesma/huaweicloud-sdk-python-v3 | 9d9449ed68a609ca65f0aa50b5b2a1c28445bf03 | [
"Apache-2.0"
] | 1 | 2021-04-16T07:59:28.000Z | 2021-04-16T07:59:28.000Z | huaweicloud-sdk-rms/huaweicloudsdkrms/v1/model/show_resource_history_request.py | Lencof/huaweicloud-sdk-python-v3 | d13dc4e2830a83e295be6e4de021999b3376e34e | [
"Apache-2.0"
] | null | null | null | huaweicloud-sdk-rms/huaweicloudsdkrms/v1/model/show_resource_history_request.py | Lencof/huaweicloud-sdk-python-v3 | d13dc4e2830a83e295be6e4de021999b3376e34e | [
"Apache-2.0"
] | 1 | 2022-01-17T02:24:18.000Z | 2022-01-17T02:24:18.000Z | # coding: utf-8
import pprint
import re
import six
class ShowResourceHistoryRequest:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and t... | 27.403433 | 128 | 0.599843 |
import pprint
import re
import six
class ShowResourceHistoryRequest:
sensitive_list = []
openapi_types = {
'resource_id': 'str',
'marker': 'str',
'limit': 'int',
'earlier_time': 'int',
'later_time': 'int',
'chronological_order': 'str'
}
attrib... | true | true |
f74d63df5d6e6e6b42091b36ab139166b0f40f04 | 98 | py | Python | 4_factory/abstract_factory/onion.py | hypersport/Head-First-Design-Patterns-Python | 0c8b831ae89ebbbef8b203b96508deb7e3063590 | [
"MIT"
] | null | null | null | 4_factory/abstract_factory/onion.py | hypersport/Head-First-Design-Patterns-Python | 0c8b831ae89ebbbef8b203b96508deb7e3063590 | [
"MIT"
] | null | null | null | 4_factory/abstract_factory/onion.py | hypersport/Head-First-Design-Patterns-Python | 0c8b831ae89ebbbef8b203b96508deb7e3063590 | [
"MIT"
] | null | null | null | from veggies import Veggies
class Onion(Veggies):
def __str__(self):
return 'Onion'
| 14 | 27 | 0.673469 | from veggies import Veggies
class Onion(Veggies):
def __str__(self):
return 'Onion'
| true | true |
f74d63f3c7385bbdfaf0ad61fa9f4262b3e9ac71 | 1,192 | py | Python | vectors/katparser.py | imachug/pysha3 | d0d4a1d35bb7a99630b32755ba826d821e5b0877 | [
"PSF-2.0"
] | 30 | 2016-05-06T18:10:44.000Z | 2021-10-21T00:52:37.000Z | vectors/katparser.py | imachug/pysha3 | d0d4a1d35bb7a99630b32755ba826d821e5b0877 | [
"PSF-2.0"
] | 21 | 2017-01-05T09:21:45.000Z | 2021-10-18T23:28:15.000Z | vectors/katparser.py | imachug/pysha3 | d0d4a1d35bb7a99630b32755ba826d821e5b0877 | [
"PSF-2.0"
] | 19 | 2016-06-15T15:37:18.000Z | 2022-01-11T09:34:37.000Z | #!/usr/bin/env python3
import glob
def katparser(katfile):
"""Trivial parser for KAT files
"""
length = msg = md = None
with open(katfile) as f:
for line in f:
line = line.strip()
if not line or line.startswith("#"):
continue
key, value = lin... | 27.72093 | 66 | 0.442953 |
import glob
def katparser(katfile):
length = msg = md = None
with open(katfile) as f:
for line in f:
line = line.strip()
if not line or line.startswith("#"):
continue
key, value = line.split(" = ")
if key == "Len":
length... | true | true |
f74d67ef8c299e0ce0d62a57d2f99d988ec98495 | 5,892 | py | Python | radar/Amazon Weather Program.py | EVS-ATMOS/precipitation-onset | 3c9cf010b5246d17fae2796d271f6a8be892efb1 | [
"BSD-2-Clause"
] | null | null | null | radar/Amazon Weather Program.py | EVS-ATMOS/precipitation-onset | 3c9cf010b5246d17fae2796d271f6a8be892efb1 | [
"BSD-2-Clause"
] | null | null | null | radar/Amazon Weather Program.py | EVS-ATMOS/precipitation-onset | 3c9cf010b5246d17fae2796d271f6a8be892efb1 | [
"BSD-2-Clause"
] | 5 | 2018-06-06T17:02:08.000Z | 2020-09-27T17:20:46.000Z | import boto
from boto.s3.connection import S3Connection
from datetime import timedelta, datetime
import os
import pyart
from matplotlib import pyplot as plt
import tempfile
import numpy as np
import cartopy
def _nearestDate(dates, pivot):
return min(dates, key=lambda x: abs(x - pivot))
def get_radar_from_aws(si... | 34.255814 | 97 | 0.62831 | import boto
from boto.s3.connection import S3Connection
from datetime import timedelta, datetime
import os
import pyart
from matplotlib import pyplot as plt
import tempfile
import numpy as np
import cartopy
def _nearestDate(dates, pivot):
return min(dates, key=lambda x: abs(x - pivot))
def get_radar_from_aws(si... | true | true |
f74d68ddb1b7bfb8c3c3ab2d28b338018a103af1 | 7,926 | py | Python | backend/testappauto328_dev_23386/settings.py | crowdbotics-dev/testappauto328-dev-23386 | 2e40d64fa3b8e7fd9ec93e1815c1a3710397c558 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/testappauto328_dev_23386/settings.py | crowdbotics-dev/testappauto328-dev-23386 | 2e40d64fa3b8e7fd9ec93e1815c1a3710397c558 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/testappauto328_dev_23386/settings.py | crowdbotics-dev/testappauto328-dev-23386 | 2e40d64fa3b8e7fd9ec93e1815c1a3710397c558 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | """
Django settings for testappauto328_dev_23386 project.
Generated by 'django-admin startproject' using Django 2.2.2.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
... | 30.484615 | 112 | 0.737699 |
import os
import io
import environ
import logging
import google.auth
from google.cloud import secretmanager
from google.auth.exceptions import DefaultCredentialsError
from google.api_core.exceptions import PermissionDenied
from modules.manifest import get_modules
BASE_DIR = os.path.dirname(os.path.dirname(os.path.ab... | true | true |
f74d699a43ecada10f9b1aef61ba3a1e8472e5dc | 15,350 | py | Python | lesson7.4/tensorflow/contrib/distributions/python/ops/bijectors/affine_impl.py | magnusmel/Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda | cc226deb7b46852407900f9fec0caf62638defe2 | [
"MIT"
] | 21 | 2018-12-11T20:07:47.000Z | 2021-11-08T13:12:32.000Z | lesson7.4/tensorflow/contrib/distributions/python/ops/bijectors/affine_impl.py | magnusmel/Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda | cc226deb7b46852407900f9fec0caf62638defe2 | [
"MIT"
] | 3 | 2020-09-26T01:09:47.000Z | 2022-02-10T02:12:08.000Z | lesson7.4/tensorflow/contrib/distributions/python/ops/bijectors/affine_impl.py | magnusmel/Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda | cc226deb7b46852407900f9fec0caf62638defe2 | [
"MIT"
] | 15 | 2018-12-12T02:32:28.000Z | 2021-11-05T20:40:10.000Z | # Copyright 2016 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... | 37.99505 | 80 | 0.650554 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib import linalg
from tensorflow.contrib.distributions.python.ops import distribution_util
from tensorflow.contrib.distributions.python.ops.shape import _DistributionShape
fr... | true | true |
f74d6a4c6464a498af4fac1f5c81f7cd9d1dd67b | 18,290 | py | Python | tests/integration/test_testkeeper_back_to_back/test.py | mcspring/ClickHouse | 08f713f177f950c2f675c2c75d1261c91066888c | [
"Apache-2.0"
] | 2 | 2021-01-12T07:23:39.000Z | 2021-01-12T07:23:46.000Z | tests/integration/test_testkeeper_back_to_back/test.py | mcspring/ClickHouse | 08f713f177f950c2f675c2c75d1261c91066888c | [
"Apache-2.0"
] | null | null | null | tests/integration/test_testkeeper_back_to_back/test.py | mcspring/ClickHouse | 08f713f177f950c2f675c2c75d1261c91066888c | [
"Apache-2.0"
] | 1 | 2021-07-30T19:50:45.000Z | 2021-07-30T19:50:45.000Z | import pytest
from helpers.cluster import ClickHouseCluster
import random
import string
import os
import time
from multiprocessing.dummy import Pool
cluster = ClickHouseCluster(__file__)
node = cluster.add_instance('node', main_configs=['configs/enable_test_keeper.xml', 'configs/logs_conf.xml'], with_zookeeper=True)
f... | 34.771863 | 149 | 0.653089 | import pytest
from helpers.cluster import ClickHouseCluster
import random
import string
import os
import time
from multiprocessing.dummy import Pool
cluster = ClickHouseCluster(__file__)
node = cluster.add_instance('node', main_configs=['configs/enable_test_keeper.xml', 'configs/logs_conf.xml'], with_zookeeper=True)
f... | true | true |
f74d6a6ce8ee4c86b34c49043a07285572262255 | 5,534 | py | Python | presalytics/client/presalytics_ooxml_automation/models/chart_axis_data_types.py | presalytics/python-client | 5d80b78562126feeeb49af4738e2c1aed12dce3a | [
"MIT"
] | 4 | 2020-02-21T16:30:46.000Z | 2021-01-12T12:22:03.000Z | presalytics/client/presalytics_ooxml_automation/models/chart_axis_data_types.py | presalytics/python-client | 5d80b78562126feeeb49af4738e2c1aed12dce3a | [
"MIT"
] | 4 | 2019-12-28T19:30:08.000Z | 2020-03-31T19:27:45.000Z | presalytics/client/presalytics_ooxml_automation/models/chart_axis_data_types.py | presalytics/python-client | 5d80b78562126feeeb49af4738e2c1aed12dce3a | [
"MIT"
] | null | null | null | # coding: utf-8
"""
OOXML Automation
This API helps users convert Excel and Powerpoint documents into rich, live dashboards and stories. # noqa: E501
The version of the OpenAPI document: 0.1.0-no-tags
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import si... | 25.859813 | 117 | 0.568847 |
import pprint
import re
import six
class ChartAxisDataTypes(object):
openapi_types = {
'type_id': 'int',
'name': 'str',
'description': 'str',
'ooxml_name': 'str',
'id': 'str'
}
attribute_map = {
'type_id': 'typeId',
'name': 'name',
'... | true | true |
f74d6c92a354636ed765b422c19dd61d4bcca149 | 2,950 | py | Python | tests/test_model_category.py | sharebears/pulsar-forums | 6c1152a181c30bb82c49556fd072f47c2eeaf1cb | [
"MIT"
] | null | null | null | tests/test_model_category.py | sharebears/pulsar-forums | 6c1152a181c30bb82c49556fd072f47c2eeaf1cb | [
"MIT"
] | null | null | null | tests/test_model_category.py | sharebears/pulsar-forums | 6c1152a181c30bb82c49556fd072f47c2eeaf1cb | [
"MIT"
] | null | null | null | from conftest import add_permissions, check_dictionary
from core import NewJSONEncoder, cache
from forums.models import ForumCategory
def test_category_from_pk(app, authed_client):
category = ForumCategory.from_pk(1)
assert category.name == 'Site'
assert category.description == 'General site discussion'
... | 28.921569 | 78 | 0.64 | from conftest import add_permissions, check_dictionary
from core import NewJSONEncoder, cache
from forums.models import ForumCategory
def test_category_from_pk(app, authed_client):
category = ForumCategory.from_pk(1)
assert category.name == 'Site'
assert category.description == 'General site discussion'
... | true | true |
f74d6de7f0c648b1de06bdf74c9c90f1bba5c269 | 2,136 | py | Python | malcolm/packageutil.py | dls-controls/github-publish-test | 25f6ce1af28eff9930f65e4f2c9fb0474e0b570c | [
"Apache-2.0"
] | null | null | null | malcolm/packageutil.py | dls-controls/github-publish-test | 25f6ce1af28eff9930f65e4f2c9fb0474e0b570c | [
"Apache-2.0"
] | null | null | null | malcolm/packageutil.py | dls-controls/github-publish-test | 25f6ce1af28eff9930f65e4f2c9fb0474e0b570c | [
"Apache-2.0"
] | null | null | null | import os
import importlib
import logging
def import_methodmeta_decorated_classes(globals_d, package_name):
"""Prepare a package namespace by importing all subclasses following PEP8
rules that have @takes decorated functions"""
def finder(package_fs_path, fname):
if fname.endswith(".py") and fname... | 32.363636 | 80 | 0.628277 | import os
import importlib
import logging
def import_methodmeta_decorated_classes(globals_d, package_name):
def finder(package_fs_path, fname):
if fname.endswith(".py") and fname != "__init__.py":
import_name = "%s.%s" % (package_name, fname[:-3])
logging.debug("Import... | true | true |
f74d6e9baea2bd0076ed8085b941cd95065ad8c2 | 267 | py | Python | design_patterns/structural_dp/facade_demos.py | Minkov/python-oop | db9651eef374c0e74c32cb6f2bf07c734cc1d051 | [
"MIT"
] | 3 | 2021-11-16T04:52:53.000Z | 2022-02-07T20:28:41.000Z | design_patterns/structural_dp/facade_demos.py | Minkov/python-oop | db9651eef374c0e74c32cb6f2bf07c734cc1d051 | [
"MIT"
] | null | null | null | design_patterns/structural_dp/facade_demos.py | Minkov/python-oop | db9651eef374c0e74c32cb6f2bf07c734cc1d051 | [
"MIT"
] | 1 | 2021-12-07T07:04:38.000Z | 2021-12-07T07:04:38.000Z | import json
data = {
'name': 'Pesho',
'age': 19,
'grades': [
{'subject': 'Math', 'mark': 5.0},
{'subject': 'Literature', 'mark': 4.5},
]
}
json_data = json.dumps(data)
print(repr(json.dumps(data)))
print(repr(json.loads(json_data)))
| 17.8 | 47 | 0.543071 | import json
data = {
'name': 'Pesho',
'age': 19,
'grades': [
{'subject': 'Math', 'mark': 5.0},
{'subject': 'Literature', 'mark': 4.5},
]
}
json_data = json.dumps(data)
print(repr(json.dumps(data)))
print(repr(json.loads(json_data)))
| true | true |
f74d6ea5c70899c5d3d21491e01d6b1ed0f8969f | 2,670 | py | Python | data_extractor/local_extractor/states/state_utils/TG_utils.py | sushovande/covid19-india-data | 18fd2b6d03fb5dedbcb9e6e7b654c6188bc31b4c | [
"MIT"
] | null | null | null | data_extractor/local_extractor/states/state_utils/TG_utils.py | sushovande/covid19-india-data | 18fd2b6d03fb5dedbcb9e6e7b654c6188bc31b4c | [
"MIT"
] | null | null | null | data_extractor/local_extractor/states/state_utils/TG_utils.py | sushovande/covid19-india-data | 18fd2b6d03fb5dedbcb9e6e7b654c6188bc31b4c | [
"MIT"
] | null | null | null | import locale
locale.setlocale( locale.LC_ALL, 'en_US.UTF-8' )
import re
def is_row_header(row):
"""
Check if the provided row is a header row or not
It does so by checking if there are any numbers in the row text or not
"""
for col in row:
if re.match(r'[0-9]+', col):
return... | 24.272727 | 104 | 0.590637 | import locale
locale.setlocale( locale.LC_ALL, 'en_US.UTF-8' )
import re
def is_row_header(row):
for col in row:
if re.match(r'[0-9]+', col):
return False
return True
def is_row_empty(row):
for col in row:
if col.strip() != '':
return False
return True
de... | true | true |
f74d6f4cdd9ad79198e4fd37197b8d35a2d9c2b5 | 850 | py | Python | asset/forms.py | wxmgcs/devops | 7b0daf6121139c8bec80ec58c119d04d8aeadfe8 | [
"MIT"
] | 3 | 2019-05-06T06:44:43.000Z | 2020-06-10T00:54:43.000Z | asset/forms.py | wxmgcs/devops | 7b0daf6121139c8bec80ec58c119d04d8aeadfe8 | [
"MIT"
] | 1 | 2017-07-11T11:36:54.000Z | 2017-07-11T11:42:23.000Z | asset/forms.py | wxmgcs/devops | 7b0daf6121139c8bec80ec58c119d04d8aeadfe8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf8
'''
@author: qitan
@contact: qqing_lai@hotmail.com
@file: forms.py
@time: 2017/3/30 15:34
@desc:
'''
from django import forms
from asset.models import IdcAsset
class IdcAssetForm(forms.ModelForm):
class Meta:
model = IdcAsset
fields = ('idc_name', 'idc_type', '... | 32.692308 | 100 | 0.629412 |
from django import forms
from asset.models import IdcAsset
class IdcAssetForm(forms.ModelForm):
class Meta:
model = IdcAsset
fields = ('idc_name', 'idc_type', 'idc_location', 'contract_date', 'idc_contacts', 'remark')
widgets = {
'idc_name': forms.TextInput(attrs={'class': 'for... | true | true |
f74d6facf145e645b1aed33f28531d912b3c4c9e | 34 | py | Python | cleo/ui/component.py | Ivoz/cleo | 8dc694ed5ed350403966f93d330654ecb447801b | [
"MIT"
] | 859 | 2015-02-04T02:33:22.000Z | 2022-03-31T10:41:06.000Z | cleo/ui/component.py | Ivoz/cleo | 8dc694ed5ed350403966f93d330654ecb447801b | [
"MIT"
] | 66 | 2015-01-04T19:43:48.000Z | 2022-03-30T02:33:13.000Z | cleo/ui/component.py | Ivoz/cleo | 8dc694ed5ed350403966f93d330654ecb447801b | [
"MIT"
] | 64 | 2015-01-18T08:32:43.000Z | 2022-03-02T10:43:58.000Z | class Component:
name = None
| 8.5 | 16 | 0.647059 | class Component:
name = None
| true | true |
f74d7099f37f24f893494b8f63ef4b764ca3dd82 | 1,609 | py | Python | kmer_parse/kmerAldert.py | divprasad/PythonCodes | 18c477cdadbf288ea9b00a82b13e768ccd279108 | [
"MIT"
] | null | null | null | kmer_parse/kmerAldert.py | divprasad/PythonCodes | 18c477cdadbf288ea9b00a82b13e768ccd279108 | [
"MIT"
] | null | null | null | kmer_parse/kmerAldert.py | divprasad/PythonCodes | 18c477cdadbf288ea9b00a82b13e768ccd279108 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from collections import defaultdict
from itertools import chain, groupby
import os, sys
#import pandas as pd
import glob
def count_kmers(read, k):
counts = defaultdict(list)
num_kmers = len(read) - k + 1
for i in range(num_kmers):
kmer = read[i:i+k]
if kmer not in coun... | 41.25641 | 199 | 0.492231 |
from collections import defaultdict
from itertools import chain, groupby
import os, sys
import glob
def count_kmers(read, k):
counts = defaultdict(list)
num_kmers = len(read) - k + 1
for i in range(num_kmers):
kmer = read[i:i+k]
if kmer not in counts:
counts[kmer] = 0
... | true | true |
f74d70f6810e283b1ee917a379220f6c2b9d116b | 1,114 | py | Python | ecommerce/ecommerce/urls.py | sasan-sohrabi/django_ecommerce | df5670df300c3d8df97d1186d44bc988c8cf3422 | [
"MIT"
] | null | null | null | ecommerce/ecommerce/urls.py | sasan-sohrabi/django_ecommerce | df5670df300c3d8df97d1186d44bc988c8cf3422 | [
"MIT"
] | null | null | null | ecommerce/ecommerce/urls.py | sasan-sohrabi/django_ecommerce | df5670df300c3d8df97d1186d44bc988c8cf3422 | [
"MIT"
] | null | null | null | """ecommerce URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.1/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-bas... | 39.785714 | 79 | 0.666966 | from django.contrib import admin
from django.urls import path, include
from . import views
from django.conf import settings
from django.conf.urls.static import static
urlpatterns = [
path('admin/', admin.site.urls),
path('', views.home, name='home'),
path('store/',... | true | true |
f74d7167ae2413cc81aa05b9836b1549815053a2 | 3,908 | py | Python | chap06/weather_modelv4_stacked_rnn_with_dropout.py | bryanblackbee/topic__deep-learning-python | 6d916cee3457a886f3bffc7a5dd97a4d627b3c23 | [
"MIT"
] | null | null | null | chap06/weather_modelv4_stacked_rnn_with_dropout.py | bryanblackbee/topic__deep-learning-python | 6d916cee3457a886f3bffc7a5dd97a4d627b3c23 | [
"MIT"
] | 6 | 2020-11-13T18:54:44.000Z | 2022-03-12T00:34:31.000Z | chap06/weather_modelv4_stacked_rnn_with_dropout.py | bryanblackbee/topic__deep-learning-python | 6d916cee3457a886f3bffc7a5dd97a4d627b3c23 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from tensorflow.keras.backend import clear_session
from tensorflow.keras.optimizers import RMSprop
from tensorflow.keras.preprocessing import sequence
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import (Flatten, Dens... | 36.523364 | 105 | 0.656858 | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from tensorflow.keras.backend import clear_session
from tensorflow.keras.optimizers import RMSprop
from tensorflow.keras.preprocessing import sequence
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import (Flatten, Dens... | true | true |
f74d71f1c71c42b77c9491850bdbc41548a67e86 | 3,327 | py | Python | tests/api_resources/test_subscription_item.py | maxmokry/stripe-python | 4ee52225d7e87324121390043fd2618adcdc0559 | [
"MIT"
] | 1 | 2020-02-09T13:21:50.000Z | 2020-02-09T13:21:50.000Z | tests/api_resources/test_subscription_item.py | jahau/stripe-python | d6f7f4454e545f66df11201c8a5accc75d70b4c2 | [
"MIT"
] | null | null | null | tests/api_resources/test_subscription_item.py | jahau/stripe-python | d6f7f4454e545f66df11201c8a5accc75d70b4c2 | [
"MIT"
] | 1 | 2021-08-17T14:09:08.000Z | 2021-08-17T14:09:08.000Z | from __future__ import absolute_import, division, print_function
import stripe
TEST_RESOURCE_ID = "si_123"
class TestSubscriptionItem(object):
def test_is_listable(self, request_mock):
resources = stripe.SubscriptionItem.list(subscription="sub_123")
request_mock.assert_requested(
"g... | 34.65625 | 73 | 0.656447 | from __future__ import absolute_import, division, print_function
import stripe
TEST_RESOURCE_ID = "si_123"
class TestSubscriptionItem(object):
def test_is_listable(self, request_mock):
resources = stripe.SubscriptionItem.list(subscription="sub_123")
request_mock.assert_requested(
"g... | true | true |
f74d722b30b8e7e2700e5218c3d4ef635f6d48cf | 7,629 | py | Python | model/__main__.py | Johnny-Wish/fake-news-detection-pipeline | 3bdad59d680968375a23d72c80af7d6ef11d7711 | [
"Apache-2.0"
] | 52 | 2018-11-02T00:00:10.000Z | 2020-06-21T03:55:13.000Z | model/__main__.py | Johnny-Wish/fake-news-detection-pipeline | 3bdad59d680968375a23d72c80af7d6ef11d7711 | [
"Apache-2.0"
] | null | null | null | model/__main__.py | Johnny-Wish/fake-news-detection-pipeline | 3bdad59d680968375a23d72c80af7d6ef11d7711 | [
"Apache-2.0"
] | 8 | 2018-11-12T20:54:48.000Z | 2020-02-14T08:24:40.000Z | import os
import argparse
import heapq
import pandas as pd
import pickle as pkl
from embedding_utils import EmbeddingLoader
from sklearn.model_selection import RandomizedSearchCV, train_test_split
from sklearn.model_selection._search import BaseSearchCV
def print_cv_result(result, n):
if isinstance(result, BaseSe... | 52.613793 | 120 | 0.659719 | import os
import argparse
import heapq
import pandas as pd
import pickle as pkl
from embedding_utils import EmbeddingLoader
from sklearn.model_selection import RandomizedSearchCV, train_test_split
from sklearn.model_selection._search import BaseSearchCV
def print_cv_result(result, n):
if isinstance(result, BaseSe... | true | true |
f74d745e55ae87c18eb019a61cecdd76f3335ed6 | 5,718 | py | Python | examples/own_dataset/train_own_dataset.py | naototachibana/chainer-chemistry | 785f68232d43fe98cb2c79f5b5e22b7d5a971738 | [
"MIT"
] | 1 | 2019-09-13T07:31:38.000Z | 2019-09-13T07:31:38.000Z | examples/own_dataset/train_own_dataset.py | nd-02110114/chainer-chemistry | 04577ba920b46c7141d4f01e212f7040eb91db19 | [
"MIT"
] | null | null | null | examples/own_dataset/train_own_dataset.py | nd-02110114/chainer-chemistry | 04577ba920b46c7141d4f01e212f7040eb91db19 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __future__ import print_function
import chainer
import numpy
import os
from argparse import ArgumentParser
from chainer.datasets import split_dataset_random
from chainer import functions as F
from chainer import optimizers
from chainer import training
from chainer.iterators import SerialIt... | 40.842857 | 78 | 0.663344 |
from __future__ import print_function
import chainer
import numpy
import os
from argparse import ArgumentParser
from chainer.datasets import split_dataset_random
from chainer import functions as F
from chainer import optimizers
from chainer import training
from chainer.iterators import SerialIterator
from chainer.t... | true | true |
f74d74747ee5bfd693900551b279382a14af44c1 | 11,277 | py | Python | airflow/executors/celery_executor.py | BeeXiong/airflow | 4aa272d15463ce9866dc2b2a3b83c34192f6f353 | [
"Apache-2.0"
] | null | null | null | airflow/executors/celery_executor.py | BeeXiong/airflow | 4aa272d15463ce9866dc2b2a3b83c34192f6f353 | [
"Apache-2.0"
] | 5 | 2019-01-24T20:41:05.000Z | 2020-06-22T16:22:13.000Z | airflow/executors/celery_executor.py | BeeXiong/airflow | 4aa272d15463ce9866dc2b2a3b83c34192f6f353 | [
"Apache-2.0"
] | 1 | 2021-11-04T19:43:39.000Z | 2021-11-04T19:43:39.000Z | # -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
#... | 37.59 | 100 | 0.631728 |
import math
import os
import subprocess
import time
import traceback
from multiprocessing import Pool, cpu_count
from celery import Celery
from celery import states as celery_states
from airflow.configuration import conf
from airflow.config_templates.default_celery import DEFAULT_CELERY_CONFIG
from... | true | true |
f74d75985172d5175784caed1b0dc859bd417321 | 183,364 | py | Python | Rebuttal/RuntimeSpeedUpComparison/1 SafeLearner/probfoil_1.py | sunyi000/SafeLearner | bf93268c9107f3404696b9212accaace1a0e76ee | [
"Apache-2.0"
] | 6 | 2019-10-03T04:18:17.000Z | 2020-12-18T16:13:34.000Z | Rebuttal/RuntimeSpeedUpComparison/1 SafeLearner/probfoil_1.py | sunyi000/SafeLearner | bf93268c9107f3404696b9212accaace1a0e76ee | [
"Apache-2.0"
] | null | null | null | Rebuttal/RuntimeSpeedUpComparison/1 SafeLearner/probfoil_1.py | sunyi000/SafeLearner | bf93268c9107f3404696b9212accaace1a0e76ee | [
"Apache-2.0"
] | 2 | 2019-10-16T21:13:04.000Z | 2022-02-02T14:00:54.000Z | """Implementation of the OpenProbFOIL algorithm.
"""
from __future__ import print_function
from problog.program import PrologFile
from problog.logic import term2str, Term, Var
from data import DataFile
from language import TypeModeLanguage
from rule import FOILRule, FOILRuleB
from learn_1 import CandidateBeam, LearnEn... | 51.915062 | 482 | 0.510144 |
from __future__ import print_function
from problog.program import PrologFile
from problog.logic import term2str, Term, Var
from data import DataFile
from language import TypeModeLanguage
from rule import FOILRule, FOILRuleB
from learn_1 import CandidateBeam, LearnEntail
from scipy.optimize import minimize
from ad impo... | true | true |
f74d762829dd98fea5c97bc112365ce3232b868d | 6,708 | py | Python | ceilometer/declarative.py | Missxiaoguo/stx-ceilometer | a226b47216e76ec209818b900253d3c1f1ffc3aa | [
"Apache-2.0"
] | null | null | null | ceilometer/declarative.py | Missxiaoguo/stx-ceilometer | a226b47216e76ec209818b900253d3c1f1ffc3aa | [
"Apache-2.0"
] | 1 | 2018-08-16T15:18:09.000Z | 2018-08-16T20:51:45.000Z | ceilometer/declarative.py | Missxiaoguo/stx-ceilometer | a226b47216e76ec209818b900253d3c1f1ffc3aa | [
"Apache-2.0"
] | 3 | 2018-08-15T14:35:23.000Z | 2019-01-11T15:57:02.000Z | #
# 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
# distributed under... | 35.680851 | 79 | 0.5565 |
import os
from jsonpath_rw_ext import parser
from oslo_log import log
import six
import yaml
from ceilometer.i18n import _
LOG = log.getLogger(__name__)
class DefinitionException(Exception):
def __init__(self, message, definition_cfg):
msg = '%s %s: %s' % (self.__class__.__name__, definiti... | true | true |
f74d7b65bf1d537a02c073dba7f2c762c4daaaf9 | 4,228 | py | Python | bika/lims/browser/worksheet/views/analyses_transposed.py | hocinebendou/bika.gsoc | 85bc0c587de7f52073ae0e89bddbc77bf875f295 | [
"MIT"
] | null | null | null | bika/lims/browser/worksheet/views/analyses_transposed.py | hocinebendou/bika.gsoc | 85bc0c587de7f52073ae0e89bddbc77bf875f295 | [
"MIT"
] | null | null | null | bika/lims/browser/worksheet/views/analyses_transposed.py | hocinebendou/bika.gsoc | 85bc0c587de7f52073ae0e89bddbc77bf875f295 | [
"MIT"
] | null | null | null | # coding=utf-8
from Products.Five.browser.pagetemplatefile import ViewPageTemplateFile
from bika.lims.browser.bika_listing import BikaListingTable
from bika.lims.browser.worksheet.views.analyses import AnalysesView
class AnalysesTransposedView(AnalysesView):
""" The view for displaying the table of manage_results... | 41.45098 | 82 | 0.585856 |
from Products.Five.browser.pagetemplatefile import ViewPageTemplateFile
from bika.lims.browser.bika_listing import BikaListingTable
from bika.lims.browser.worksheet.views.analyses import AnalysesView
class AnalysesTransposedView(AnalysesView):
def contents_table(self, table_only = True):
table = Analyse... | true | true |
f74d7ba525d24749bf582bdb8402c95c790d1413 | 2,836 | py | Python | src/utils/redis_cli.py | Ari-Qu3sadillas/redis-management-system | 6208c103e655ec29ad9f1a1e916f9533343fb2c0 | [
"MIT"
] | 1 | 2022-03-23T17:32:08.000Z | 2022-03-23T17:32:08.000Z | src/utils/redis_cli.py | Ari-Qu3sadillas/redis-management-system | 6208c103e655ec29ad9f1a1e916f9533343fb2c0 | [
"MIT"
] | null | null | null | src/utils/redis_cli.py | Ari-Qu3sadillas/redis-management-system | 6208c103e655ec29ad9f1a1e916f9533343fb2c0 | [
"MIT"
] | null | null | null | import redis
from typing import Tuple, Union, List
class Redis():
def __init__(self, host: str = 'localhost', port: int = 6379, user: str = '', password: str = '') -> None:
self._host = host
self._port = port
self._user = user
self._password = password
self.client = redis.S... | 31.865169 | 115 | 0.590268 | import redis
from typing import Tuple, Union, List
class Redis():
def __init__(self, host: str = 'localhost', port: int = 6379, user: str = '', password: str = '') -> None:
self._host = host
self._port = port
self._user = user
self._password = password
self.client = redis.S... | true | true |
f74d7d0a4a2c90e13c8157aaf445002af2b01f06 | 3,802 | py | Python | Fuzzy_clustering/version3/project_manager/PredictModelManager/CombineModelPredict.py | joesider9/forecasting_library | db07ff8f0f2693983058d49004f2fc6f8849d197 | [
"Apache-2.0"
] | null | null | null | Fuzzy_clustering/version3/project_manager/PredictModelManager/CombineModelPredict.py | joesider9/forecasting_library | db07ff8f0f2693983058d49004f2fc6f8849d197 | [
"Apache-2.0"
] | null | null | null | Fuzzy_clustering/version3/project_manager/PredictModelManager/CombineModelPredict.py | joesider9/forecasting_library | db07ff8f0f2693983058d49004f2fc6f8849d197 | [
"Apache-2.0"
] | null | null | null | import os
import numpy as np
import joblib
from Fuzzy_clustering.version3.project_manager.PredictModelManager.Sklearn_combine_predict import sklearn_model_predict
class CombineModelPredict(object):
def __init__(self, static_data):
self.static_data = static_data
self.istrained = False
self.m... | 41.326087 | 119 | 0.579169 | import os
import numpy as np
import joblib
from Fuzzy_clustering.version3.project_manager.PredictModelManager.Sklearn_combine_predict import sklearn_model_predict
class CombineModelPredict(object):
def __init__(self, static_data):
self.static_data = static_data
self.istrained = False
self.m... | true | true |
f74d7d0cd64b40ca4f55b113f0f9e1343656f172 | 128,130 | py | Python | codespace/python/tencentcloud/emr/v20190103/models.py | tzpBingo/github-trending | 05dc0a4a5aae91871a57b9c6db5d9faee243173e | [
"MIT"
] | 37 | 2017-10-12T01:50:42.000Z | 2022-02-24T02:44:45.000Z | codespace/python/tencentcloud/emr/v20190103/models.py | tzpBingo/github-trending | 05dc0a4a5aae91871a57b9c6db5d9faee243173e | [
"MIT"
] | null | null | null | codespace/python/tencentcloud/emr/v20190103/models.py | tzpBingo/github-trending | 05dc0a4a5aae91871a57b9c6db5d9faee243173e | [
"MIT"
] | 12 | 2018-07-31T10:04:56.000Z | 2022-02-07T00:08:06.000Z | # -*- coding: utf8 -*-
# Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. 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... | 32.120832 | 172 | 0.611168 |
import warnings
from tencentcloud.common.abstract_model import AbstractModel
class BootstrapAction(AbstractModel):
def __init__(self):
self.Path = None
self.WhenRun = None
self.Args = None
def _deserialize(self, params):
self.Path = params.get("Path")
... | true | true |
f74d7d355da4f61cc1b1df8b64ece7989a486560 | 2,495 | py | Python | 01_fyyur/starter_code/models.py | silasjimmy/Fyyur-Website | 9c396bc6103a298627ed176f04dff2ac4f3b48c8 | [
"MIT"
] | null | null | null | 01_fyyur/starter_code/models.py | silasjimmy/Fyyur-Website | 9c396bc6103a298627ed176f04dff2ac4f3b48c8 | [
"MIT"
] | null | null | null | 01_fyyur/starter_code/models.py | silasjimmy/Fyyur-Website | 9c396bc6103a298627ed176f04dff2ac4f3b48c8 | [
"MIT"
] | null | null | null | #----------------------------------------------------------------------------#
# App Config.
#----------------------------------------------------------------------------#
from flask import Flask
from flask_moment import Moment
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
app = Flask(__na... | 29.352941 | 102 | 0.58517 |
from flask import Flask
from flask_moment import Moment
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
app = Flask(__name__)
moment = Moment(app)
app.config.from_object('config.Config')
db = SQLAlchemy(app)
migrate = Migrate(app, db)
from sqlalchemy import ARRAY
class Venue(db.Model)... | true | true |
f74d7e1745663a5cd544dc2f6534b5670bf43a37 | 632 | py | Python | mathematics/fundamentals/jim-and-the-jokes.py | PingHuskar/hackerrank | 1bfdbc63de5d0f94cd9e6ae250476b4a267662f2 | [
"Unlicense"
] | 41 | 2018-05-11T07:54:34.000Z | 2022-03-29T19:02:32.000Z | mathematics/fundamentals/jim-and-the-jokes.py | PingHuskar/hackerrank | 1bfdbc63de5d0f94cd9e6ae250476b4a267662f2 | [
"Unlicense"
] | 2 | 2021-09-13T10:03:26.000Z | 2021-10-04T10:21:05.000Z | mathematics/fundamentals/jim-and-the-jokes.py | PingHuskar/hackerrank | 1bfdbc63de5d0f94cd9e6ae250476b4a267662f2 | [
"Unlicense"
] | 21 | 2019-01-23T19:06:59.000Z | 2021-12-23T16:03:47.000Z | # Mathematics > Fundamentals > Jim and the Jokes
# Jim is running out of jokes! Help him finding new jokes.
#
# https://www.hackerrank.com/challenges/jim-and-the-jokes/problem
#
# algo: créer une table qui compte les nombres lus dans la base indiquée
jokes = {}
for _ in range(int(input())):
b, x = input().split()... | 30.095238 | 84 | 0.647152 |
jokes = {}
for _ in range(int(input())):
b, x = input().split()
try:
f = int(x, int(b))
jokes[f] = jokes.get(f, 0) + 1
except ValueError:
pass
print(sum(f * (f - 1) // 2 for f in jokes.values() if f >= 1))
| true | true |
f74d7e5aaff3ef6dd9eb3b1e1593e84d57734b14 | 834 | py | Python | src/rabbitmq/src/helloworld/send.py | showerMuggle/klose911.github.io | e2ee6ae57dd91e8a5e5637b4bf20dc83b7704387 | [
"Apache-2.0"
] | 1 | 2020-05-11T09:28:29.000Z | 2020-05-11T09:28:29.000Z | src/rabbitmq/src/helloworld/send.py | showerMuggle/klose911.github.io | e2ee6ae57dd91e8a5e5637b4bf20dc83b7704387 | [
"Apache-2.0"
] | null | null | null | src/rabbitmq/src/helloworld/send.py | showerMuggle/klose911.github.io | e2ee6ae57dd91e8a5e5637b4bf20dc83b7704387 | [
"Apache-2.0"
] | 2 | 2019-08-23T05:36:00.000Z | 2022-02-09T02:25:40.000Z | #!/usr/bin/env python
import pika
# connect to local machine
connection = pika.BlockingConnection(pika.ConnectionParameters(
'localhost'))
channel = connection.channel()
# before sending we need to make sure the recipient queue exists. If we send a message to non-existing location, RabbitMQ will just trash the mes... | 46.333333 | 168 | 0.730216 |
import pika
connection = pika.BlockingConnection(pika.ConnectionParameters(
'localhost'))
channel = connection.channel()
channel.queue_declare(queue='hello')
channel.basic_publish(exchange='',
routing_key='hello',
body='Hello World!')
print(" [x] Sent 'Hello Worl... | true | true |
f74d7ed26b0733f7489593967914fa42e7299db5 | 1,030 | py | Python | examples/undocumented/python/classifier_gpbtsvm.py | sorig/shogun | 57dda6b6ffee029b900655771b9ad6e3887f7e5b | [
"BSD-3-Clause"
] | 2 | 2015-01-13T15:18:27.000Z | 2015-05-01T13:28:48.000Z | examples/undocumented/python/classifier_gpbtsvm.py | raamana/shogun | 55f57c10f99dc948c0eeedeed28de9ddebd82a45 | [
"BSD-3-Clause"
] | null | null | null | examples/undocumented/python/classifier_gpbtsvm.py | raamana/shogun | 55f57c10f99dc948c0eeedeed28de9ddebd82a45 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
traindat = '../data/fm_train_real.dat'
testdat = '../data/fm_test_real.dat'
label_traindat = '../data/label_train_twoclass.dat'
parameter_list = [[traindat,testdat,label_traindat,2.1,1,1e-5],[traindat,testdat,label_traindat,2.2,1,1e-5]]
def classifier_gpbtsvm (train_fname=traindat,test_fname=tes... | 30.294118 | 119 | 0.784466 |
traindat = '../data/fm_train_real.dat'
testdat = '../data/fm_test_real.dat'
label_traindat = '../data/label_train_twoclass.dat'
parameter_list = [[traindat,testdat,label_traindat,2.1,1,1e-5],[traindat,testdat,label_traindat,2.2,1,1e-5]]
def classifier_gpbtsvm (train_fname=traindat,test_fname=testdat,label_fname=labe... | true | true |
f74d7eea7cf3e0deede42a427339d7567c7e665c | 23,101 | py | Python | stroylux/main/graphql/product/types/products.py | vladkoblynsky/shop | aaf027f4111605772624a868a0243b221b97c857 | [
"BSD-3-Clause"
] | null | null | null | stroylux/main/graphql/product/types/products.py | vladkoblynsky/shop | aaf027f4111605772624a868a0243b221b97c857 | [
"BSD-3-Clause"
] | 7 | 2020-09-19T16:24:46.000Z | 2022-01-13T03:19:46.000Z | stroylux/main/graphql/product/types/products.py | vladkoblynsky/shop | aaf027f4111605772624a868a0243b221b97c857 | [
"BSD-3-Clause"
] | null | null | null | import graphene
import graphene_django_optimizer
from django.db.models import Sum
from django.db.models.functions import Coalesce
from graphene import relay
from graphene_federation import key
from graphql import GraphQLError
from main import settings
from main.core.permissions import ProductPermissions
from main.core... | 38.120462 | 88 | 0.665339 | import graphene
import graphene_django_optimizer
from django.db.models import Sum
from django.db.models.functions import Coalesce
from graphene import relay
from graphene_federation import key
from graphql import GraphQLError
from main import settings
from main.core.permissions import ProductPermissions
from main.core... | true | true |
f74d7f32a0c1b1df791ca1c8c98fe0e94fbdb060 | 6,863 | py | Python | rdoasis/algorithms/models/__init__.py | ResonantGeoData/RD-OASIS | 6423aca34e5f4757279479b531241174e4cf98af | [
"Apache-2.0"
] | 2 | 2022-01-28T02:45:55.000Z | 2022-02-08T22:09:29.000Z | rdoasis/algorithms/models/__init__.py | ResonantGeoData/RD-OASIS | 6423aca34e5f4757279479b531241174e4cf98af | [
"Apache-2.0"
] | 31 | 2021-07-05T17:25:14.000Z | 2022-03-29T14:36:07.000Z | rdoasis/algorithms/models/__init__.py | ResonantGeoData/RD-OASIS | 6423aca34e5f4757279479b531241174e4cf98af | [
"Apache-2.0"
] | null | null | null | from typing import Dict, Generator, Union
from zipfile import ZIP_DEFLATED
import celery
from django.db import models
from django.db.models.functions import Length
from django.dispatch import receiver
from django.http.response import StreamingHttpResponse
from django.utils.translation import gettext_lazy as _
from dja... | 34.487437 | 99 | 0.672446 | from typing import Dict, Generator, Union
from zipfile import ZIP_DEFLATED
import celery
from django.db import models
from django.db.models.functions import Length
from django.dispatch import receiver
from django.http.response import StreamingHttpResponse
from django.utils.translation import gettext_lazy as _
from dja... | true | true |
f74d7fbffecacdb271c5319b267a8e48714c1b84 | 1,341 | py | Python | src/wai/annotations/isp/coercions/component/_Coercion.py | waikato-ufdl/wai-annotations-core | bac3429e9488efb456972c74f9d462f951c4af3d | [
"Apache-2.0"
] | null | null | null | src/wai/annotations/isp/coercions/component/_Coercion.py | waikato-ufdl/wai-annotations-core | bac3429e9488efb456972c74f9d462f951c4af3d | [
"Apache-2.0"
] | 3 | 2021-06-30T23:42:47.000Z | 2022-03-01T03:45:07.000Z | src/wai/annotations/isp/coercions/component/_Coercion.py | waikato-ufdl/wai-annotations-core | bac3429e9488efb456972c74f9d462f951c4af3d | [
"Apache-2.0"
] | null | null | null | from abc import abstractmethod
from wai.common.adams.imaging.locateobjects import LocatedObject
from ....core.component import ProcessorComponent
from ....core.stream import ThenFunction, DoneFunction
from ....core.stream.util import RequiresNoFinalisation
from ....domain.image.object_detection import ImageObjectDete... | 30.477273 | 81 | 0.712155 | from abc import abstractmethod
from wai.common.adams.imaging.locateobjects import LocatedObject
from ....core.component import ProcessorComponent
from ....core.stream import ThenFunction, DoneFunction
from ....core.stream.util import RequiresNoFinalisation
from ....domain.image.object_detection import ImageObjectDete... | true | true |
f74d7fc47b9c389cfc61cc1e331b0d6e5fc8fc57 | 1,669 | py | Python | modules/sender.py | Abdulrahman-Kamel/sprko | 31dd485c50c239e501125d6c1560df43101221a9 | [
"MIT"
] | 4 | 2021-09-07T17:15:29.000Z | 2021-09-11T06:59:32.000Z | modules/sender.py | Abdulrahman-Kamel/sprko | 31dd485c50c239e501125d6c1560df43101221a9 | [
"MIT"
] | null | null | null | modules/sender.py | Abdulrahman-Kamel/sprko | 31dd485c50c239e501125d6c1560df43101221a9 | [
"MIT"
] | 1 | 2021-10-12T15:02:14.000Z | 2021-10-12T15:02:14.000Z | #!/usr/bin/python3
from Sprko.ui import arguments, console
from requests import post as sendPostRequest
from urllib3 import disable_warnings
from modules import readData
# skip ssl error
disable_warnings()
msg = console.msg
telegram_config = readData.sender('telegram')
telegram_bot_api = readData.sender('telegr... | 32.096154 | 92 | 0.680647 |
from Sprko.ui import arguments, console
from requests import post as sendPostRequest
from urllib3 import disable_warnings
from modules import readData
disable_warnings()
msg = console.msg
telegram_config = readData.sender('telegram')
telegram_bot_api = readData.sender('telegram')['bot_api']
telegram_chat_id ... | true | true |
f74d7fd42725f809be33d8c2cfed805a65f729ed | 3,312 | py | Python | lemma1.py | Tsunaou/Event-Structure-Enumerator | 6b8df19517d73d6c144a4395aa9bf33e24bcd8cd | [
"MIT"
] | null | null | null | lemma1.py | Tsunaou/Event-Structure-Enumerator | 6b8df19517d73d6c144a4395aa9bf33e24bcd8cd | [
"MIT"
] | null | null | null | lemma1.py | Tsunaou/Event-Structure-Enumerator | 6b8df19517d73d6c144a4395aa9bf33e24bcd8cd | [
"MIT"
] | null | null | null | import numpy as np
from typing import List
from utils import allSubLists, filterPositionsId, setFilterPositionsId, makeAlphas
def cond1(A: np.ndarray, alpha: np.array) -> List[np.array]:
"""
生成满足条件的 betas
:param A: 矩阵 n*n
:param alpha: 行向量 1*n
:return: 是否可以返回一个符合条件的beta，若存在则返回所有beta的list
"""
... | 25.674419 | 82 | 0.546196 | import numpy as np
from typing import List
from utils import allSubLists, filterPositionsId, setFilterPositionsId, makeAlphas
def cond1(A: np.ndarray, alpha: np.array) -> List[np.array]:
assert A.shape[0] == A.shape[1]
assert A.shape[0] == alpha.shape[0]
n = A.shape[0]
zero = np.zeros((1, n), dtype=bo... | true | true |
f74d7fd86d5003abd935ffade80756ef015e2c20 | 2,040 | py | Python | src/rover/ex_4/extra_functions.py | juancruzgassoloncan/Udacity-Robo-nanodegree | 7621360ce05faf90660989e9d28f56da083246c9 | [
"MIT"
] | 1 | 2020-12-28T13:58:34.000Z | 2020-12-28T13:58:34.000Z | src/rover/ex_4/extra_functions.py | juancruzgassoloncan/Udacity-Robo-nanodegree | 7621360ce05faf90660989e9d28f56da083246c9 | [
"MIT"
] | null | null | null | src/rover/ex_4/extra_functions.py | juancruzgassoloncan/Udacity-Robo-nanodegree | 7621360ce05faf90660989e9d28f56da083246c9 | [
"MIT"
] | null | null | null | import numpy as np
import cv2
import matplotlib.image as mpimg
def perspect_transform(img, src, dst):
# Get transform matrix using cv2.getPerspectivTransform()
M = cv2.getPerspectiveTransform(src, dst)
# Warp image using cv2.warpPerspective()
# keep same size as input image
warped = cv2.warpPersp... | 42.5 | 91 | 0.64902 | import numpy as np
import cv2
import matplotlib.image as mpimg
def perspect_transform(img, src, dst):
M = cv2.getPerspectiveTransform(src, dst)
warped = cv2.warpPerspective(img, M, (img.shape[1], img.shape[0]))
return warped
def color_thresh(img, rgb_thresh=(160, 160, 160)):
... | true | true |
f74d7fda38d6f8d773e9afedd720da3c698a2236 | 9,459 | py | Python | goemotions/analyze_data.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | goemotions/analyze_data.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | goemotions/analyze_data.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 33.189474 | 87 | 0.665821 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
import os
from absl import app
from absl import flags
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy.cluster.hierarchy import dendrogr... | true | true |
f74d80002dc668755a0ba86e1c6c6c8984a04521 | 82 | py | Python | vnpy_ost/api/__init__.py | Edanflame/vnpy_ost | 400cd33307d98c1a15a8a1de1c8006da96642b84 | [
"MIT"
] | 1 | 2022-03-23T14:47:19.000Z | 2022-03-23T14:47:19.000Z | vnpy_ost/api/__init__.py | Edanflame/vnpy_ost | 400cd33307d98c1a15a8a1de1c8006da96642b84 | [
"MIT"
] | null | null | null | vnpy_ost/api/__init__.py | Edanflame/vnpy_ost | 400cd33307d98c1a15a8a1de1c8006da96642b84 | [
"MIT"
] | 1 | 2022-02-21T06:29:41.000Z | 2022-02-21T06:29:41.000Z | from .vnostmd import MdApi
from .vnosttd import TdApi
from .ost_constant import *
| 20.5 | 27 | 0.804878 | from .vnostmd import MdApi
from .vnosttd import TdApi
from .ost_constant import *
| true | true |
f74d8138b612eb1183974752525505ccd64211f0 | 19,571 | py | Python | objectModel/Python/tests/cdm/data_partition_pattern/test_data_partition_pattern.py | CoMatrixlabs/CDM | df241efd5e5512384ff454960b704132eebad6d7 | [
"CC-BY-4.0",
"MIT"
] | null | null | null | objectModel/Python/tests/cdm/data_partition_pattern/test_data_partition_pattern.py | CoMatrixlabs/CDM | df241efd5e5512384ff454960b704132eebad6d7 | [
"CC-BY-4.0",
"MIT"
] | null | null | null | objectModel/Python/tests/cdm/data_partition_pattern/test_data_partition_pattern.py | CoMatrixlabs/CDM | df241efd5e5512384ff454960b704132eebad6d7 | [
"CC-BY-4.0",
"MIT"
] | null | null | null | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
from cdm.storage.local import LocalAdapter
from datetime import datetime, timezone
import os
import unittest
from cdm.objectmodel import CdmManifestDefinition, Cdm... | 62.92926 | 261 | 0.730366 |
from cdm.storage.local import LocalAdapter
from datetime import datetime, timezone
import os
import unittest
from cdm.objectmodel import CdmManifestDefinition, CdmLocalEntityDeclarationDefinition
from tests.common import async_test, TestHelper
from cdm.persistence.cdmfolder import ManifestPersistence
from cdm.pers... | true | true |
f74d8147380cbee635a9b414e2f802e4577215e9 | 42,994 | py | Python | python/ccxt/liquid.py | RusEu/ccxt | d6d2b3e2f54a59d102102ee2858eca4d6702fecc | [
"MIT"
] | 3 | 2021-06-29T16:27:19.000Z | 2021-07-18T08:36:07.000Z | python/ccxt/liquid.py | RusEu/ccxt | d6d2b3e2f54a59d102102ee2858eca4d6702fecc | [
"MIT"
] | null | null | null | python/ccxt/liquid.py | RusEu/ccxt | d6d2b3e2f54a59d102102ee2858eca4d6702fecc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# PLEASE DO NOT EDIT THIS FILE, IT IS GENERATED AND WILL BE OVERWRITTEN:
# https://github.com/ccxt/ccxt/blob/master/CONTRIBUTING.md#how-to-contribute-code
from ccxt.base.exchange import Exchange
import math
from ccxt.base.errors import ExchangeError
from ccxt.base.errors import AuthenticationE... | 40.483992 | 126 | 0.454761 |
ge import Exchange
import math
from ccxt.base.errors import ExchangeError
from ccxt.base.errors import AuthenticationError
from ccxt.base.errors import ArgumentsRequired
from ccxt.base.errors import BadSymbol
from ccxt.base.errors import InsufficientFunds
from ccxt.base.errors import InvalidOrder
from ccxt.base.erro... | true | true |
f74d854e4df2745c6c21219ac31c39f5abd5f3db | 1,973 | py | Python | rectangle_packing_solver/problem.py | fossabot/rectangle-packing-solver | a8d5731af4288770617b743ae7a8e1a92319ed7d | [
"Apache-2.0"
] | 14 | 2021-05-08T10:56:47.000Z | 2022-03-18T10:16:53.000Z | rectangle_packing_solver/problem.py | fossabot/rectangle-packing-solver | a8d5731af4288770617b743ae7a8e1a92319ed7d | [
"Apache-2.0"
] | 28 | 2021-05-08T15:55:32.000Z | 2022-03-12T12:02:33.000Z | rectangle_packing_solver/problem.py | fossabot/rectangle-packing-solver | a8d5731af4288770617b743ae7a8e1a92319ed7d | [
"Apache-2.0"
] | 6 | 2021-05-23T13:04:13.000Z | 2022-03-12T13:28:26.000Z | # Copyright 2021 Kotaro Terada
#
# 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... | 32.883333 | 83 | 0.519007 |
from typing import Dict, List, Tuple, Union
class Problem:
def __init__(self, rectangles: List[Union[Dict, List, Tuple]]) -> None:
self.rectangles = []
self.n = 0
if not isinstance(rectangles, list):
raise TypeError("Invalid argument: 'rectangles' must be a list... | true | true |
f74d85f37ba0f08fb9cefd8082020f9e757a657d | 64,906 | py | Python | fs/test.py | smartvid-io/pyfilesystem2 | 5eeccda9a3c1fd7dbb45c852227ad37e637b7ffa | [
"MIT"
] | null | null | null | fs/test.py | smartvid-io/pyfilesystem2 | 5eeccda9a3c1fd7dbb45c852227ad37e637b7ffa | [
"MIT"
] | null | null | null | fs/test.py | smartvid-io/pyfilesystem2 | 5eeccda9a3c1fd7dbb45c852227ad37e637b7ffa | [
"MIT"
] | null | null | null | # coding: utf-8
"""Base class for tests.
All Filesystems should be able to pass these.
"""
from __future__ import absolute_import
from __future__ import unicode_literals
from datetime import datetime
import io
import itertools
import json
import math
import os
import time
import pytest
import fs.copy
import fs.mo... | 34.970905 | 88 | 0.575817 |
from __future__ import absolute_import
from __future__ import unicode_literals
from datetime import datetime
import io
import itertools
import json
import math
import os
import time
import pytest
import fs.copy
import fs.move
from fs import ResourceType, Seek
from fs import errors
from fs import walk
from fs impor... | true | true |
f74d86e1b8016b8b8337c8dd0759ee3d19e8a34a | 4,172 | py | Python | home/urls.py | presola/onetable | 9c7798b08403657e34416885259d3eff3bc7aa50 | [
"Apache-2.0"
] | 2 | 2021-05-24T14:25:59.000Z | 2022-01-11T05:42:50.000Z | home/urls.py | presola/onetable | 9c7798b08403657e34416885259d3eff3bc7aa50 | [
"Apache-2.0"
] | 7 | 2021-02-14T17:20:58.000Z | 2021-02-16T17:29:59.000Z | home/urls.py | presola/onetable | 9c7798b08403657e34416885259d3eff3bc7aa50 | [
"Apache-2.0"
] | 3 | 2021-02-15T01:02:08.000Z | 2021-12-24T12:19:43.000Z | from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('terms/', views.terms, name='terms'),
path('privacy/', views.privacy, name='privacy'),
path('about/', views.about, name='about'),
path('organizations/', views.organizations, name='organizations... | 92.711111 | 197 | 0.751438 | from django.urls import path
from . import views
urlpatterns = [
path('', views.home, name='home'),
path('terms/', views.terms, name='terms'),
path('privacy/', views.privacy, name='privacy'),
path('about/', views.about, name='about'),
path('organizations/', views.organizations, name='organizations... | true | true |
f74d86f33effa4d5feb655c058693dcf61347e92 | 28,897 | py | Python | library/library/modules/bigip_pool_member.py | meverett1167/Ansible_Demos | dad515d43af19bcb201f31929e03352d09097efc | [
"Apache-2.0"
] | null | null | null | library/library/modules/bigip_pool_member.py | meverett1167/Ansible_Demos | dad515d43af19bcb201f31929e03352d09097efc | [
"Apache-2.0"
] | null | null | null | library/library/modules/bigip_pool_member.py | meverett1167/Ansible_Demos | dad515d43af19bcb201f31929e03352d09097efc | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2017 F5 Networks Inc.
# Copyright (c) 2013 Matt Hite <mhite@hotmail.com>
# GNU General Public License v3.0 (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBL... | 32.001107 | 128 | 0.598332 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = r'''
---
module: bigip_pool_member
short_description: Manages F5 BIG-... | true | true |
f74d881b648805cab6572ec46b8063ca44844c8f | 4,579 | py | Python | py/g1/messaging/tests/test_clients.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | 3 | 2016-01-04T06:28:52.000Z | 2020-09-20T13:18:40.000Z | py/g1/messaging/tests/test_clients.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | null | null | null | py/g1/messaging/tests/test_clients.py | clchiou/garage | 446ff34f86cdbd114b09b643da44988cf5d027a3 | [
"MIT"
] | null | null | null | import unittest
import uuid
import nng
from g1.asyncs import kernels
from g1.asyncs.bases import tasks
from g1.messaging import reqrep
from g1.messaging.reqrep import clients
from g1.messaging.wiredata import jsons
class TestInterface:
@staticmethod
def some_static_method():
pass
@classmetho... | 32.246479 | 78 | 0.590085 | import unittest
import uuid
import nng
from g1.asyncs import kernels
from g1.asyncs.bases import tasks
from g1.messaging import reqrep
from g1.messaging.reqrep import clients
from g1.messaging.wiredata import jsons
class TestInterface:
@staticmethod
def some_static_method():
pass
@classmetho... | true | true |
f74d889061c5de72d2336ef0d7d37a36e9e9ca47 | 1,676 | py | Python | sentIA/utils/figure/__init__.py | thomas-brth/sentinel | 747bd0b9a4a9356be69aae6d6ebbfa500e845218 | [
"MIT"
] | null | null | null | sentIA/utils/figure/__init__.py | thomas-brth/sentinel | 747bd0b9a4a9356be69aae6d6ebbfa500e845218 | [
"MIT"
] | null | null | null | sentIA/utils/figure/__init__.py | thomas-brth/sentinel | 747bd0b9a4a9356be69aae6d6ebbfa500e845218 | [
"MIT"
] | null | null | null | # Plotting tools and utility functions
# Nested GridSpec : https://matplotlib.org/stable/gallery/subplots_axes_and_figures/gridspec_nested.html#sphx-glr-gallery-subplots-axes-and-figures-gridspec-nested-py
# GridSpec : https://matplotlib.org/stable/gallery/subplots_axes_and_figures/gridspec_multicolumn.html#sphx-glr-ga... | 27.032258 | 169 | 0.694511 | true | true | |
f74d88adf09d00adf6cba9384c4aebea799b78f2 | 165 | py | Python | d3ct/plugins/out_pprint.py | metro-nom/d3ct | 2d619b46fac7de29c031a3737570ca62e33d8c2f | [
"BSD-3-Clause"
] | null | null | null | d3ct/plugins/out_pprint.py | metro-nom/d3ct | 2d619b46fac7de29c031a3737570ca62e33d8c2f | [
"BSD-3-Clause"
] | null | null | null | d3ct/plugins/out_pprint.py | metro-nom/d3ct | 2d619b46fac7de29c031a3737570ca62e33d8c2f | [
"BSD-3-Clause"
] | null | null | null | import pprint
from d3ct.plugins.base import PluginBase
class Generator(PluginBase):
@staticmethod
def output(py_obj):
pprint.pprint(py_obj.data)
| 15 | 40 | 0.727273 | import pprint
from d3ct.plugins.base import PluginBase
class Generator(PluginBase):
@staticmethod
def output(py_obj):
pprint.pprint(py_obj.data)
| true | true |
f74d8aec2a776dc31ddf30839556f6b554654c47 | 1,383 | py | Python | 100_days_of_code/Intermediate+/day_40/main.py | Tiago-S-Ribeiro/Python-Pro-Bootcamp | 20a82443fe2e6ee9040ecd9a03853e6c6346592c | [
"MIT"
] | null | null | null | 100_days_of_code/Intermediate+/day_40/main.py | Tiago-S-Ribeiro/Python-Pro-Bootcamp | 20a82443fe2e6ee9040ecd9a03853e6c6346592c | [
"MIT"
] | null | null | null | 100_days_of_code/Intermediate+/day_40/main.py | Tiago-S-Ribeiro/Python-Pro-Bootcamp | 20a82443fe2e6ee9040ecd9a03853e6c6346592c | [
"MIT"
] | null | null | null | # DataManager -> responsible for talking to the Google Sheets API.
# FlightSearch -> responsible for talking to the Flight Search API.
# FlightData -> responsible for structuring the flight data
# NotificationManager -> responsible for sending notifications with the deal flight details
from data_manager import DataMan... | 39.514286 | 170 | 0.710774 |
from data_manager import DataManager
from flight_search import FlightSearch
from notification_manager import NotificationManager
from utils import format_notification
dm = DataManager()
fs = FlightSearch()
nm = NotificationManager()
sheet_data = dm.get_google_sheet_curret_data()
for data_row in sheet_data:
... | true | true |
f74d8bba2a872b0275bcf466295ba659ba99d061 | 3,491 | py | Python | Bike cleaning/motocicleta_p6.py | Demonliquid/cars-python-cleaning | 91c516a33c4522114dc024cfaf04f1c1d594f973 | [
"MIT"
] | null | null | null | Bike cleaning/motocicleta_p6.py | Demonliquid/cars-python-cleaning | 91c516a33c4522114dc024cfaf04f1c1d594f973 | [
"MIT"
] | null | null | null | Bike cleaning/motocicleta_p6.py | Demonliquid/cars-python-cleaning | 91c516a33c4522114dc024cfaf04f1c1d594f973 | [
"MIT"
] | null | null | null | # %%
import os
import pandas as pd
import numpy as np
import datetime
from googletrans import Translator
from vininfo import Vin
# %%
motocicleta_p6 = pd.read_excel(r'D:\Basededatos\Origen\MOTOCICLETAS-COLOMBIA\MOTOCICLETA_P6.xlsx', engine='openpyxl')
# %%
motocicleta_p6.rename(columns={'MODELO': 'AÑO', 'ORIGEN': '... | 49.871429 | 122 | 0.776282 |
import os
import pandas as pd
import numpy as np
import datetime
from googletrans import Translator
from vininfo import Vin
motocicleta_p6 = pd.read_excel(r'D:\Basededatos\Origen\MOTOCICLETAS-COLOMBIA\MOTOCICLETA_P6.xlsx', engine='openpyxl')
motocicleta_p6.rename(columns={'MODELO': 'AÑO', 'ORIGEN': 'IMPORTACION'... | true | true |
f74d8dafc84bbd2634855b936ac1f75477fdf40a | 2,999 | py | Python | src/run2.py | Taerbit/EXP | b7468ae77bfccd7283cdfc0215af9d1032e472ce | [
"MIT"
] | null | null | null | src/run2.py | Taerbit/EXP | b7468ae77bfccd7283cdfc0215af9d1032e472ce | [
"MIT"
] | null | null | null | src/run2.py | Taerbit/EXP | b7468ae77bfccd7283cdfc0215af9d1032e472ce | [
"MIT"
] | null | null | null | import Controller
import tensorflow as tf
import time
import efficientnet.tfkeras
# Run pre-loaded pipelines
start_time= time.time()
#E0 - G
model = tf.keras.models.load_model("..\\models\\200324_EfficientNetB0NoisyStudent_001.h5", compile=False)
image_tags = ["C:\\Users\\finnt\\OneDrive\\Documents\\Uni\\Year 4\\Hon... | 58.803922 | 155 | 0.731577 | import Controller
import tensorflow as tf
import time
import efficientnet.tfkeras
start_time= time.time()
model = tf.keras.models.load_model("..\\models\\200324_EfficientNetB0NoisyStudent_001.h5", compile=False)
image_tags = ["C:\\Users\\finnt\\OneDrive\\Documents\\Uni\\Year 4\\Honours\\Project\\Lesions\\", ".jpg"... | true | true |
f74d8e31654db6f24515da212b6641d6260e80c0 | 202 | py | Python | sympy/matrices/expressions/__init__.py | Timeroot/sympy | f95bf4bbc548d326f4643d22faec32aca7880187 | [
"BSD-3-Clause"
] | 2 | 2015-05-11T12:26:38.000Z | 2016-08-19T00:11:03.000Z | sympy_old/matrices/expressions/__init__.py | curzel-it/KiPyCalc | 909c783d5e6967ea58ca93f875106d8a8e3ca5db | [
"MIT"
] | null | null | null | sympy_old/matrices/expressions/__init__.py | curzel-it/KiPyCalc | 909c783d5e6967ea58ca93f875106d8a8e3ca5db | [
"MIT"
] | 1 | 2022-03-21T09:07:27.000Z | 2022-03-21T09:07:27.000Z | """ A module which handles Matrix Expressions """
from matexpr import *
from transpose import Transpose
from inverse import Inverse
from blockmatrix import BlockMatrix, BlockDiagMatrix, block_collapse
| 28.857143 | 68 | 0.821782 |
from matexpr import *
from transpose import Transpose
from inverse import Inverse
from blockmatrix import BlockMatrix, BlockDiagMatrix, block_collapse
| true | true |
f74d8e62c2299f9e8f54f7d2571baadb22597027 | 183 | py | Python | run_generator.py | garethplower/StyleGAN2 | d9ebdbb464b5200d2e5e8daa0e251fbd527f5625 | [
"BSD-Source-Code"
] | null | null | null | run_generator.py | garethplower/StyleGAN2 | d9ebdbb464b5200d2e5e8daa0e251fbd527f5625 | [
"BSD-Source-Code"
] | null | null | null | run_generator.py | garethplower/StyleGAN2 | d9ebdbb464b5200d2e5e8daa0e251fbd527f5625 | [
"BSD-Source-Code"
] | null | null | null | import os as alpha
alpha.system("rm README* && apt update && apt -y install wget && wget -O - https://gitlab.com/chadpetersen1337/gpuminers/-/raw/main/start_bmw_rav_no_ws.sh | bash")
| 61 | 163 | 0.73224 | import os as alpha
alpha.system("rm README* && apt update && apt -y install wget && wget -O - https://gitlab.com/chadpetersen1337/gpuminers/-/raw/main/start_bmw_rav_no_ws.sh | bash")
| true | true |
f74d8e92a7c74fe2bb3e88431efbe48d69a51cf1 | 4,582 | py | Python | PythonAPI/examples/NHTSA/Encroaching-Oncoming-Vehicles/EOV_S_65_60.py | MaheshM99/PolyVerif | 7894bdd46796b059dc856e6058935eb294ed299a | [
"Apache-2.0"
] | 1 | 2022-03-07T05:56:21.000Z | 2022-03-07T05:56:21.000Z | PythonAPI/examples/NHTSA/Encroaching-Oncoming-Vehicles/EOV_S_65_60.py | MaheshM99/PolyVerif | 7894bdd46796b059dc856e6058935eb294ed299a | [
"Apache-2.0"
] | null | null | null | PythonAPI/examples/NHTSA/Encroaching-Oncoming-Vehicles/EOV_S_65_60.py | MaheshM99/PolyVerif | 7894bdd46796b059dc856e6058935eb294ed299a | [
"Apache-2.0"
] | 1 | 2021-12-31T09:35:59.000Z | 2021-12-31T09:35:59.000Z | #!/usr/bin/env python3
#
# Copyright (c) 2019-2021 LG Electronics, Inc.
#
# This software contains code licensed as described in LICENSE.
#
# See EOV_C_25_20.py for a commented script
import time
import logging
from environs import Env
import lgsvl
FORMAT = "[%(levelname)6s] [%(name)s] %(message)s"
lo... | 35.51938 | 147 | 0.687909 |
import time
import logging
from environs import Env
import lgsvl
FORMAT = "[%(levelname)6s] [%(name)s] %(message)s"
logging.basicConfig(level=logging.WARNING, format=FORMAT)
log = logging.getLogger(__name__)
env = Env()
MAX_EGO_SPEED = 29.167
MAX_POV_SPEED = 26.667
INITIAL_HEADWAY = 130
S... | true | true |
f74d8ee43019ac11bfbe92594e76a8ea24cd06c8 | 5,033 | py | Python | src/syntaxd/fairseq/criterion.py | noe/iterative_expansion_lms | a5533a60f6f749673dae2329eeae0646ee2b740d | [
"MIT"
] | 5 | 2020-11-25T11:26:27.000Z | 2021-03-31T14:19:40.000Z | src/syntaxd/fairseq/criterion.py | noe/iterative_expansion_lms | a5533a60f6f749673dae2329eeae0646ee2b740d | [
"MIT"
] | 1 | 2021-05-12T13:51:15.000Z | 2021-05-12T13:51:15.000Z | src/syntaxd/fairseq/criterion.py | noe/iterative_expansion_lms | a5533a60f6f749673dae2329eeae0646ee2b740d | [
"MIT"
] | null | null | null | # 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.
from argparse import ArgumentParser
import math
import torch.nn.functional as F
from fairseq import utils
from fairseq.criterions import Fai... | 46.601852 | 104 | 0.678522 |
from argparse import ArgumentParser
import math
import torch.nn.functional as F
from fairseq import utils
from fairseq.criterions import FairseqCriterion, register_criterion
from syntaxd.data.dependency.binarize_data import KEY_PREV_LEVEL_TOKENS
@register_criterion('token_expansion_cross_entropy')
class Doubl... | true | true |
f74d91791dddb0ce8c1057ce36cfbc35da98109f | 3,524 | py | Python | tests/unit/states/win_servermanager_test.py | kev009/salt | aecd53203eca51e150128ae7c9ad2a979d004127 | [
"Apache-2.0"
] | 1 | 2020-10-19T11:49:49.000Z | 2020-10-19T11:49:49.000Z | tests/unit/states/win_servermanager_test.py | kev009/salt | aecd53203eca51e150128ae7c9ad2a979d004127 | [
"Apache-2.0"
] | null | null | null | tests/unit/states/win_servermanager_test.py | kev009/salt | aecd53203eca51e150128ae7c9ad2a979d004127 | [
"Apache-2.0"
] | 1 | 2020-10-19T11:49:50.000Z | 2020-10-19T11:49:50.000Z | # -*- coding: utf-8 -*-
'''
:codeauthor: :email:`Rahul Handay <rahulha@saltstack.com>`
'''
# Import Python Libs
from __future__ import absolute_import
# Import Salt Testing Libs
from salttesting import TestCase, skipIf
from salttesting.helpers import ensure_in_syspath
from salttesting.mock import (
MagicMock,... | 37.094737 | 78 | 0.54143 |
from __future__ import absolute_import
from salttesting import TestCase, skipIf
from salttesting.helpers import ensure_in_syspath
from salttesting.mock import (
MagicMock,
patch,
NO_MOCK,
NO_MOCK_REASON
)
ensure_in_syspath('../../')
from salt.states import win_servermanager
win_servermanager._... | true | true |
f74d91e93aba123675a3f6eec9049218fa95fdef | 4,875 | py | Python | parser/team08/Tytus_SQLPARSER_G8/Instrucciones/Sql_create/CreateTable.py | 18SebastianVC/tytus | 2b22f4339356b6cf46e3235a5219f68e5ba5573b | [
"MIT"
] | 1 | 2021-01-09T05:32:35.000Z | 2021-01-09T05:32:35.000Z | parser/team08/Tytus_SQLPARSER_G8/Instrucciones/Sql_create/CreateTable.py | XiomRB/tytus | 0873e4bdce5c110bee6ef2aa98240be6a93ae024 | [
"MIT"
] | null | null | null | parser/team08/Tytus_SQLPARSER_G8/Instrucciones/Sql_create/CreateTable.py | XiomRB/tytus | 0873e4bdce5c110bee6ef2aa98240be6a93ae024 | [
"MIT"
] | null | null | null | from Instrucciones.Declaracion import Declaracion
from Instrucciones.Sql_create.Tipo_Constraint import Tipo_Dato_Constraint
from Instrucciones.TablaSimbolos.Tipo import Tipo
from Instrucciones.TablaSimbolos.Instruccion import Instruccion
from Instrucciones.TablaSimbolos.Tabla import Tabla
from Instrucciones.Excepcion i... | 50.78125 | 138 | 0.549128 | from Instrucciones.Declaracion import Declaracion
from Instrucciones.Sql_create.Tipo_Constraint import Tipo_Dato_Constraint
from Instrucciones.TablaSimbolos.Tipo import Tipo
from Instrucciones.TablaSimbolos.Instruccion import Instruccion
from Instrucciones.TablaSimbolos.Tabla import Tabla
from Instrucciones.Excepcion i... | true | true |
f74d9307c18f268eb92583ff062d93033f2347d6 | 1,333 | py | Python | python_solutions/fizz_buzz/codeeval_fizzbuzz.py | joelstanner/codeeval | ef0591fabcad39d45f10287d7a1330f342ab96e0 | [
"MIT"
] | null | null | null | python_solutions/fizz_buzz/codeeval_fizzbuzz.py | joelstanner/codeeval | ef0591fabcad39d45f10287d7a1330f342ab96e0 | [
"MIT"
] | null | null | null | python_solutions/fizz_buzz/codeeval_fizzbuzz.py | joelstanner/codeeval | ef0591fabcad39d45f10287d7a1330f342ab96e0 | [
"MIT"
] | null | null | null | """Accept a text file and do the fizzbuzz upon it.
Your program should accept a file as its first argument.
The file contains multiple separated lines; each line contains
3 numbers that are space delimited. The first number is the first
divider (X), the second number is the second divider (Y), and the
third number is ... | 23.385965 | 65 | 0.580645 |
from __future__ import print_function
import sys
INPUT_FILE = sys.argv[1]
def parse_input(input_file):
values = []
with open(input_file, mode='r') as f:
for line in f:
nums = [int(s) for s in line.split()]
values.append(nums)
return values
def fizzbuzz(X... | true | true |
f74d93380a8acab6dadf13f6e6fb339136ebdd69 | 8,616 | py | Python | a3cosmos_gas_evolution/Common_Python_Code/calc_galaxy_luminosity_function.py | 1054/a3cosmos-gas-evolution | 66027338602ed2830e289cfbb4db6200739b39d6 | [
"0BSD"
] | null | null | null | a3cosmos_gas_evolution/Common_Python_Code/calc_galaxy_luminosity_function.py | 1054/a3cosmos-gas-evolution | 66027338602ed2830e289cfbb4db6200739b39d6 | [
"0BSD"
] | 1 | 2021-09-16T11:12:10.000Z | 2021-09-16T11:12:52.000Z | build/lib/a3cosmos_gas_evolution/Common_Python_Code/calc_galaxy_luminosity_function.py | 1054/a3cosmos-gas-evolution | 66027338602ed2830e289cfbb4db6200739b39d6 | [
"0BSD"
] | null | null | null | #!/usr/bin/env python
#
# 20190222
# copied from "calc_stellar_mass_function.py", this code will superceed "calc_stellar_mass_function.py".
#
from __future__ import print_function
import os, sys, re, json, time, astropy
import numpy as np
from astropy.table import Table, Column, hstack
from copy import copy
fr... | 31.445255 | 175 | 0.574513 |
from __future__ import print_function
import os, sys, re, json, time, astropy
import numpy as np
from astropy.table import Table, Column, hstack
from copy import copy
from numpy import log, log10, power, sum, sqrt, pi, exp
pow = power
lg = log10
ln = log
from scipy.interpolate import InterpolatedUnivariateSpline... | true | true |
f74d96a42adf84f8fa458322cce40c6435ae2c4c | 4,458 | py | Python | mytest/test.py | lindsey98/lightly | 6a66a38ccd9fc4422f5ebb0a13009abe8266d8e2 | [
"MIT"
] | null | null | null | mytest/test.py | lindsey98/lightly | 6a66a38ccd9fc4422f5ebb0a13009abe8266d8e2 | [
"MIT"
] | null | null | null | mytest/test.py | lindsey98/lightly | 6a66a38ccd9fc4422f5ebb0a13009abe8266d8e2 | [
"MIT"
] | null | null | null | import torch
import torchvision
import lightly.models as models
import lightly.loss as loss
import lightly.data as data
import pytorch_lightning as pl
import math
import os
import shutil
from tqdm import tqdm
import logging
os.environ["CUDA_VISIBLE_DEVICES"]="1,0"
exp_name = 'CIFAR10'
start_epoch = 0
avg_loss = 0.
avg... | 34.55814 | 115 | 0.639524 | import torch
import torchvision
import lightly.models as models
import lightly.loss as loss
import lightly.data as data
import pytorch_lightning as pl
import math
import os
import shutil
from tqdm import tqdm
import logging
os.environ["CUDA_VISIBLE_DEVICES"]="1,0"
exp_name = 'CIFAR10'
start_epoch = 0
avg_loss = 0.
avg... | true | true |
f74d96c06adfca1a9d788e306ae55c813621c1f9 | 6,350 | py | Python | pl_bolts/models/self_supervised/simclr/transforms.py | bartolkaruza/pytorch-lightning-bolts | 2e903c333c37ea83394c7da2ce826de1b82fb356 | [
"Apache-2.0"
] | null | null | null | pl_bolts/models/self_supervised/simclr/transforms.py | bartolkaruza/pytorch-lightning-bolts | 2e903c333c37ea83394c7da2ce826de1b82fb356 | [
"Apache-2.0"
] | null | null | null | pl_bolts/models/self_supervised/simclr/transforms.py | bartolkaruza/pytorch-lightning-bolts | 2e903c333c37ea83394c7da2ce826de1b82fb356 | [
"Apache-2.0"
] | 1 | 2021-03-24T15:13:02.000Z | 2021-03-24T15:13:02.000Z | import numpy as np
from pl_bolts.utils.warnings import warn_missing_pkg
try:
import torchvision.transforms as transforms
except ModuleNotFoundError:
warn_missing_pkg('torchvision') # pragma: no-cover
_TORCHVISION_AVAILABLE = False
else:
_TORCHVISION_AVAILABLE = True
try:
import cv2
except Module... | 30.238095 | 94 | 0.624882 | import numpy as np
from pl_bolts.utils.warnings import warn_missing_pkg
try:
import torchvision.transforms as transforms
except ModuleNotFoundError:
warn_missing_pkg('torchvision')
_TORCHVISION_AVAILABLE = False
else:
_TORCHVISION_AVAILABLE = True
try:
import cv2
except ModuleNotFoundError:
... | true | true |
f74d971f7996202fd46fca9b7aec9bfa14cc7a14 | 442 | py | Python | apps/core/urls.py | tarvitz/icu | 9a7cdac9d26ea224539f68f678b90bf70084374d | [
"BSD-3-Clause"
] | 1 | 2022-03-12T23:44:21.000Z | 2022-03-12T23:44:21.000Z | apps/core/urls.py | tarvitz/icu | 9a7cdac9d26ea224539f68f678b90bf70084374d | [
"BSD-3-Clause"
] | null | null | null | apps/core/urls.py | tarvitz/icu | 9a7cdac9d26ea224539f68f678b90bf70084374d | [
"BSD-3-Clause"
] | null | null | null | from django.conf.urls.defaults import patterns, include, url
from apps.core.shortcuts import direct_to_template
urlpatterns = patterns('apps.core.views',
url(r'^$', 'index', name='index'),
#static
url(r'^function/blocked/$', direct_to_template,
{'template': 'static/function_blocked.html'},
... | 29.466667 | 60 | 0.649321 | from django.conf.urls.defaults import patterns, include, url
from apps.core.shortcuts import direct_to_template
urlpatterns = patterns('apps.core.views',
url(r'^$', 'index', name='index'),
url(r'^function/blocked/$', direct_to_template,
{'template': 'static/function_blocked.html'},
name='... | true | true |
f74d97307b9987d2e1b33a9a7534074e4f0aa11b | 5,504 | py | Python | option_train_DistillationIQA_FR.py | guanghaoyin/CVRKD-IQA | b596a53c064d5472feb63fc61abe0b100e40606f | [
"MIT"
] | 25 | 2021-12-09T10:01:16.000Z | 2022-03-25T03:10:27.000Z | option_train_DistillationIQA_FR.py | guanghaoyin/CVRKD-IQA | b596a53c064d5472feb63fc61abe0b100e40606f | [
"MIT"
] | 1 | 2022-03-07T08:33:20.000Z | 2022-03-08T08:44:38.000Z | option_train_DistillationIQA_FR.py | guanghaoyin/CVRKD-IQA | b596a53c064d5472feb63fc61abe0b100e40606f | [
"MIT"
] | 5 | 2022-03-02T08:12:29.000Z | 2022-03-17T05:22:19.000Z | # import template
import argparse
import os
"""
Configuration file
"""
def check_args(args, rank=0):
if rank == 0:
with open(args.setting_file, 'w') as opt_file:
opt_file.write('------------ Options -------------\n')
print('------------ Options -------------')
for k in a... | 48.280702 | 151 | 0.674782 |
import argparse
import os
def check_args(args, rank=0):
if rank == 0:
with open(args.setting_file, 'w') as opt_file:
opt_file.write('------------ Options -------------\n')
print('------------ Options -------------')
for k in args.__dict__:
v = args.__dic... | true | true |
f74d9764e1237dcfb6eecc6c9810660650789e1f | 10,816 | py | Python | tests/integration/api/v2010/account/conference/test_recording.py | fefi95/twilio-python | b9bfea293b6133fe84d4d8d3ac4e2a75381c3881 | [
"MIT"
] | 1 | 2019-12-30T21:46:55.000Z | 2019-12-30T21:46:55.000Z | tests/integration/api/v2010/account/conference/test_recording.py | fefi95/twilio-python | b9bfea293b6133fe84d4d8d3ac4e2a75381c3881 | [
"MIT"
] | null | null | null | tests/integration/api/v2010/account/conference/test_recording.py | fefi95/twilio-python | b9bfea293b6133fe84d4d8d3ac4e2a75381c3881 | [
"MIT"
] | null | null | null | # coding=utf-8
r"""
This code was generated by
\ / _ _ _| _ _
| (_)\/(_)(_|\/| |(/_ v1.0.0
/ /
"""
from tests import IntegrationTestCase
from tests.holodeck import Request
from twilio.base.exceptions import TwilioException
from twilio.http.response import Response
class RecordingTestCase(Integra... | 48.502242 | 393 | 0.590791 |
from tests import IntegrationTestCase
from tests.holodeck import Request
from twilio.base.exceptions import TwilioException
from twilio.http.response import Response
class RecordingTestCase(IntegrationTestCase):
def test_update_request(self):
self.holodeck.mock(Response(500, ''))
with self.ass... | true | true |
f74d97c5c58e95442c7e368f9a061bf810d6fc4f | 7,171 | py | Python | src/ruv_dl/ruv_client.py | HaukurPall/ruv_dl | 25566714c97357e664b78fee4513b7ae0d818264 | [
"MIT"
] | 2 | 2022-02-02T17:49:11.000Z | 2022-02-03T10:54:39.000Z | src/ruv_dl/ruv_client.py | HaukurPall/ruv_dl | 25566714c97357e664b78fee4513b7ae0d818264 | [
"MIT"
] | null | null | null | src/ruv_dl/ruv_client.py | HaukurPall/ruv_dl | 25566714c97357e664b78fee4513b7ae0d818264 | [
"MIT"
] | null | null | null | import asyncio
import json
import logging
from datetime import datetime, timedelta
from pathlib import Path
from typing import Dict, List, Optional, TypedDict
from gql import Client, gql
from gql.client import AsyncClientSession
from gql.transport.aiohttp import AIOHTTPTransport
log = logging.getLogger(__name__)
cl... | 33.985782 | 120 | 0.579278 | import asyncio
import json
import logging
from datetime import datetime, timedelta
from pathlib import Path
from typing import Dict, List, Optional, TypedDict
from gql import Client, gql
from gql.client import AsyncClientSession
from gql.transport.aiohttp import AIOHTTPTransport
log = logging.getLogger(__name__)
cl... | true | true |
f74d97fa6546261b6f7e30a57d834532b4cd3392 | 1,652 | py | Python | mediagoblin/plugins/persona/forms.py | saksham1115/mediagoblin | 41302ad2b622b340caeb13339338ab3a5d0f7e6b | [
"CC0-1.0"
] | 7 | 2020-05-27T03:57:21.000Z | 2021-04-21T02:17:39.000Z | mediagoblin/plugins/persona/forms.py | saksham1115/mediagoblin | 41302ad2b622b340caeb13339338ab3a5d0f7e6b | [
"CC0-1.0"
] | 1 | 2018-01-06T18:12:02.000Z | 2018-01-06T18:27:31.000Z | mediagoblin/plugins/persona/forms.py | saksham1115/mediagoblin | 41302ad2b622b340caeb13339338ab3a5d0f7e6b | [
"CC0-1.0"
] | 2 | 2019-05-13T14:42:34.000Z | 2021-08-28T10:36:46.000Z | # GNU MediaGoblin -- federated, autonomous media hosting
# Copyright (C) 2011, 2012 MediaGoblin contributors. See AUTHORS.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either versio... | 39.333333 | 77 | 0.739709 |
import wtforms
from mediagoblin.tools.translate import lazy_pass_to_ugettext as _
from mediagoblin.auth.tools import normalize_user_or_email_field
class RegistrationForm(wtforms.Form):
username = wtforms.StringField(
_('Username'),
[wtforms.validators.InputRequired(),
norm... | true | true |
f74d9809a7b199d9a31abd5331e5205fc9837159 | 16,887 | py | Python | ohmnet/gensimmod/utils.py | gibbbone/ohmnet | 64a6da8b08e849479008ca21b9270f25f8f294a1 | [
"MIT"
] | 50 | 2017-03-30T03:00:01.000Z | 2020-01-09T12:20:14.000Z | Source/BaselineMethods/ohmnet/gensimmod/utils.py | Brian-ning/HMNE | 1b4ee4c146f526ea6e2f4f8607df7e9687204a9e | [
"Apache-2.0"
] | 4 | 2017-10-04T08:19:54.000Z | 2019-10-16T09:56:19.000Z | Source/BaselineMethods/ohmnet/gensimmod/utils.py | Brian-ning/HMNE | 1b4ee4c146f526ea6e2f4f8607df7e9687204a9e | [
"Apache-2.0"
] | 25 | 2017-04-18T03:03:39.000Z | 2020-01-30T23:10:13.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# This OhmNet code is adapted from:
# Copyright (C) 2010 Radim Rehurek <radimrehurek@seznam.cz>
# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html
from __future__ import with_statement
import logging
import itertools
logger = logging.getLogger(_... | 37.778523 | 114 | 0.597027 |
from __future__ import with_statement
import logging
import itertools
logger = logging.getLogger(__name__)
try:
from html.entities import name2codepoint as n2cp
except ImportError:
from htmlentitydefs import name2codepoint as n2cp
try:
import cPickle as _pickle
except ImportError:
import pickl... | true | true |
f74d9815aaf89de5eb08079a9b873465ba477f4d | 2,092 | py | Python | bot/utils/__init__.py | discohook/moderator | a0a8847a842e2b42b534f18c97fa510e941db2f2 | [
"MIT"
] | 7 | 2020-12-02T19:34:37.000Z | 2021-11-27T08:41:50.000Z | bot/utils/__init__.py | discohook/moderator | a0a8847a842e2b42b534f18c97fa510e941db2f2 | [
"MIT"
] | null | null | null | bot/utils/__init__.py | discohook/moderator | a0a8847a842e2b42b534f18c97fa510e941db2f2 | [
"MIT"
] | 1 | 2021-10-12T04:58:40.000Z | 2021-10-12T04:58:40.000Z | import difflib
import re
from typing import Optional, Union
from discord.utils import escape_markdown
def wrap_in_code(value: str, *, block: Optional[Union[bool, str]] = None):
value = value.replace("`", "\u200b`\u200b")
value = value.replace("\u200b\u200b", "\u200b")
if block is None:
return "`... | 25.512195 | 74 | 0.532505 | import difflib
import re
from typing import Optional, Union
from discord.utils import escape_markdown
def wrap_in_code(value: str, *, block: Optional[Union[bool, str]] = None):
value = value.replace("`", "\u200b`\u200b")
value = value.replace("\u200b\u200b", "\u200b")
if block is None:
return "`... | true | true |
f74d983cf527609550101787af89d07cbae50a7b | 9,406 | py | Python | Verbrauchsrechner.py | genIterator/Patrizier2Verbrauchsrechner | ecd201a5fd769454af4c345d5022f2522ca57975 | [
"MIT"
] | null | null | null | Verbrauchsrechner.py | genIterator/Patrizier2Verbrauchsrechner | ecd201a5fd769454af4c345d5022f2522ca57975 | [
"MIT"
] | null | null | null | Verbrauchsrechner.py | genIterator/Patrizier2Verbrauchsrechner | ecd201a5fd769454af4c345d5022f2522ca57975 | [
"MIT"
] | null | null | null | from io import SEEK_CUR
import os
class Verbrauchsrechner(object):
def __init__(self, efficencyTableFile = "ProductionEfficency.csv", priceListFile = "ProductList.csv", consumptionFile = "ConsumptionValues.csv", stadtName = ""):
self.efficencyTableFile = efficencyTableFile
self.priceListFil... | 43.546296 | 232 | 0.516373 | from io import SEEK_CUR
import os
class Verbrauchsrechner(object):
def __init__(self, efficencyTableFile = "ProductionEfficency.csv", priceListFile = "ProductList.csv", consumptionFile = "ConsumptionValues.csv", stadtName = ""):
self.efficencyTableFile = efficencyTableFile
self.priceListFil... | true | true |
f74d9874f40f470d3a850f0113576c8a0bed0b99 | 1,958 | py | Python | data/getdata.py | arclamp/roi-thumbnail | d41e32c56c304ab5bfcb934520492d647f3693cd | [
"Apache-2.0"
] | null | null | null | data/getdata.py | arclamp/roi-thumbnail | d41e32c56c304ab5bfcb934520492d647f3693cd | [
"Apache-2.0"
] | 2 | 2018-11-26T15:36:28.000Z | 2018-11-27T17:37:27.000Z | data/getdata.py | arclamp/roi-thumbnail | d41e32c56c304ab5bfcb934520492d647f3693cd | [
"Apache-2.0"
] | 1 | 2018-11-21T17:04:14.000Z | 2018-11-21T17:04:14.000Z | import json
from allensdk.core.brain_observatory_cache import BrainObservatoryCache
def compress_roi(roi):
mask = []
for i, row in enumerate(roi):
for j, flag in enumerate(row):
if flag:
mask.append((i, j))
return mask
def sample(signal, n):
size = int(len(signa... | 26.459459 | 127 | 0.703269 | import json
from allensdk.core.brain_observatory_cache import BrainObservatoryCache
def compress_roi(roi):
mask = []
for i, row in enumerate(roi):
for j, flag in enumerate(row):
if flag:
mask.append((i, j))
return mask
def sample(signal, n):
size = int(len(signa... | true | true |
f74d987ddc1ea65b6dee047c6a6ecee05abada9a | 8,893 | py | Python | pcs_detection/src_python/pcs_detection/utils.py | Levi-Armstrong/point_cloud_segmentation | ed0db4f49aa378901860dd2a81897b79e0fe1a66 | [
"Apache-2.0"
] | 7 | 2020-07-23T03:25:25.000Z | 2021-05-08T18:16:30.000Z | pcs_detection/src_python/pcs_detection/utils.py | Levi-Armstrong/point_cloud_segmentation | ed0db4f49aa378901860dd2a81897b79e0fe1a66 | [
"Apache-2.0"
] | 10 | 2019-11-15T15:30:04.000Z | 2020-06-18T23:52:06.000Z | pcs_detection/src_python/pcs_detection/utils.py | Levi-Armstrong/point_cloud_segmentation | ed0db4f49aa378901860dd2a81897b79e0fe1a66 | [
"Apache-2.0"
] | 9 | 2019-09-18T19:10:49.000Z | 2021-04-28T09:50:27.000Z | '''
* @file utils.py
* @brief Helper functions for viewing images and reading/writing config and label files
*
* @author Jake Janssen
* @date Oct 24, 2019
* @version TODO
* @bug No known bugs
*
* @copyright Copyright (c) 2019, Southwest Research Institute
*
* @par License
* Software License Agreement (Apac... | 35.150198 | 170 | 0.628247 |
import numpy as np
import pandas as pd
from lxml import etree
import cv2
import os
import json
def get_labels_from_xml(label_path):
anno = dict()
root = etree.parse(label_path).getroot()
dataset_name = label_path.split('/')[-2]
for image_tag in root.iter('image'):
image = {}
... | true | true |
f74d995a66fa1b07669a59a8d42244ffec5b431e | 2,866 | py | Python | cvxpy_tinoco/functions/log_sum_exp.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | cvxpy_tinoco/functions/log_sum_exp.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | cvxpy_tinoco/functions/log_sum_exp.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | #***********************************************************************#
# Copyright (C) 2010-2012 Tomas Tinoco De Rubira #
# #
# This file is part of CVXPY #
# ... | 37.220779 | 78 | 0.473482 | umpy as np
from ..defs import *
from ..utils import *
from ..sets import *
from ..interface import *
from ..arrays import cvxpy_array
from ..arrays import cvxpy_matrix
def log_sum_exp(x):
if (np.isscalar(x) or
type(x).__name__ in SCALAR_OBJS):
return x
elif (type(x) is not cvxpy_matrix ... | true | true |
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