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class |
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7903fd0ee7c73dba66b4a548782c9343fc95b6ec | 3,928 | py | Python | custom_components/mintmobile/api.py | KTibow/HA-Mint-Mobile | 55ef863b09608e44e13399b4577893d5405b78be | [
"MIT"
] | null | null | null | custom_components/mintmobile/api.py | KTibow/HA-Mint-Mobile | 55ef863b09608e44e13399b4577893d5405b78be | [
"MIT"
] | null | null | null | custom_components/mintmobile/api.py | KTibow/HA-Mint-Mobile | 55ef863b09608e44e13399b4577893d5405b78be | [
"MIT"
] | null | null | null | import requests
import datetime
class BearerAuth(requests.auth.AuthBase):
def __init__(self, token):
self.token = token
def __call__(self, r):
r.headers["authorization"] = "Bearer " + self.token
return r
class MintMobile:
def __init__(self, phone_number, password):
self.pho... | 41.347368 | 152 | 0.643075 | import requests
import datetime
class BearerAuth(requests.auth.AuthBase):
def __init__(self, token):
self.token = token
def __call__(self, r):
r.headers["authorization"] = "Bearer " + self.token
return r
class MintMobile:
def __init__(self, phone_number, password):
self.pho... | true | true |
7903fd1d5c77b3edd8916e6063615ebb5e8d8931 | 1,783 | py | Python | nipype/interfaces/slicer/legacy/tests/test_auto_MultiResolutionAffineRegistration.py | felixsc1/nipype | e722d6170593583f16ddfcb95473e5d30b5f1d7c | [
"Apache-2.0"
] | 8 | 2019-05-29T09:38:30.000Z | 2021-01-20T03:36:59.000Z | nipype/interfaces/slicer/legacy/tests/test_auto_MultiResolutionAffineRegistration.py | felixsc1/nipype | e722d6170593583f16ddfcb95473e5d30b5f1d7c | [
"Apache-2.0"
] | 12 | 2021-03-09T03:01:16.000Z | 2022-03-11T23:59:36.000Z | nipype/interfaces/slicer/legacy/tests/test_auto_MultiResolutionAffineRegistration.py | felixsc1/nipype | e722d6170593583f16ddfcb95473e5d30b5f1d7c | [
"Apache-2.0"
] | 1 | 2020-07-17T12:49:49.000Z | 2020-07-17T12:49:49.000Z | # AUTO-GENERATED by tools/checkspecs.py - DO NOT EDIT
from __future__ import unicode_literals
from ..registration import MultiResolutionAffineRegistration
def test_MultiResolutionAffineRegistration_inputs():
input_map = dict(
args=dict(argstr='%s', ),
environ=dict(
nohash=True,
... | 34.288462 | 67 | 0.610768 |
from __future__ import unicode_literals
from ..registration import MultiResolutionAffineRegistration
def test_MultiResolutionAffineRegistration_inputs():
input_map = dict(
args=dict(argstr='%s', ),
environ=dict(
nohash=True,
usedefault=True,
),
fixedImage=d... | true | true |
7903fdbae9e4657eae5e15d13111c09ad7522103 | 2,147 | py | Python | Python/DataStructure/TreeDS/ExpressionTree.py | adityalata/AlgorithmsAndDataStructure | 93de2f63ad027f42c368c78690b7a59545541852 | [
"MIT"
] | null | null | null | Python/DataStructure/TreeDS/ExpressionTree.py | adityalata/AlgorithmsAndDataStructure | 93de2f63ad027f42c368c78690b7a59545541852 | [
"MIT"
] | null | null | null | Python/DataStructure/TreeDS/ExpressionTree.py | adityalata/AlgorithmsAndDataStructure | 93de2f63ad027f42c368c78690b7a59545541852 | [
"MIT"
] | 1 | 2021-01-12T21:00:04.000Z | 2021-01-12T21:00:04.000Z | # Date 3/10/2020
# __Author__ : AdityaLata
# __Package__ : Python 3
# __GitHub__ : https://www.github.com/adityalata
from Python.DataStructure.TreeDS.Node import Node
# A utility function to check if 'c' is an operator
def isOperator(c):
if c == '+' or c == '-' or c == '*' or c == '/' or c == '^':
... | 25.258824 | 84 | 0.615277 |
from Python.DataStructure.TreeDS.Node import Node
def isOperator(c):
if c == '+' or c == '-' or c == '*' or c == '/' or c == '^':
return True
else:
return False
def getExpressionTree(postfix):
stack = []
for char in postfix:
if char == " ":
... | true | true |
7903fe2fe472c55bd786a4267486161ebf6e899d | 751 | py | Python | support/classifiers.py | rknop/amuse | 85d5bdcc29cfc87dc69d91c264101fafd6658aec | [
"Apache-2.0"
] | 6 | 2016-03-29T07:26:20.000Z | 2019-02-12T11:52:05.000Z | support/classifiers.py | rknop/amuse | 85d5bdcc29cfc87dc69d91c264101fafd6658aec | [
"Apache-2.0"
] | 9 | 2017-03-16T12:12:40.000Z | 2021-12-20T10:49:56.000Z | support/classifiers.py | rieder/amuse | 3ac3b6b8f922643657279ddee5c8ab3fc0440d5e | [
"Apache-2.0"
] | null | null | null | classifiers = [
'Development Status :: 5 - Production/Stable',
'Environment :: Console',
'Intended Audience :: End Users/Desktop',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Operating System :: MacOS :: M... | 30.04 | 57 | 0.624501 | classifiers = [
'Development Status :: 5 - Production/Stable',
'Environment :: Console',
'Intended Audience :: End Users/Desktop',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Operating System :: MacOS :: M... | true | true |
7903fe41431bd1906bdd213a65170f89577a7dc8 | 2,013 | py | Python | farms2face/home/templatetags/common_tags.py | dev1farms2face/f2f | 54e58187a68574bf2bd0dfb7e58a2b416336106a | [
"MIT"
] | null | null | null | farms2face/home/templatetags/common_tags.py | dev1farms2face/f2f | 54e58187a68574bf2bd0dfb7e58a2b416336106a | [
"MIT"
] | null | null | null | farms2face/home/templatetags/common_tags.py | dev1farms2face/f2f | 54e58187a68574bf2bd0dfb7e58a2b416336106a | [
"MIT"
] | 2 | 2018-06-19T12:12:08.000Z | 2018-06-25T18:45:36.000Z | from django import template
from home.models import Recipe, MixingAgent, Base, Ingredient, FacePack, CustomFacePack
import pdb
register = template.Library()
@register.inclusion_tag('facepack.html')
def facepack_display(item_id):
if not item_id:
return
mandatory = []
type = "primary"
for cfp in... | 31.952381 | 101 | 0.562842 | from django import template
from home.models import Recipe, MixingAgent, Base, Ingredient, FacePack, CustomFacePack
import pdb
register = template.Library()
@register.inclusion_tag('facepack.html')
def facepack_display(item_id):
if not item_id:
return
mandatory = []
type = "primary"
for cfp in... | true | true |
7904001743f764f3d1fd7a9ab2e28238025fbcaa | 20,446 | py | Python | Pyro5/serializers.py | gst/Pyro5 | 032f635e771b2770f751f133274f0c6d1132d6d8 | [
"MIT"
] | null | null | null | Pyro5/serializers.py | gst/Pyro5 | 032f635e771b2770f751f133274f0c6d1132d6d8 | [
"MIT"
] | null | null | null | Pyro5/serializers.py | gst/Pyro5 | 032f635e771b2770f751f133274f0c6d1132d6d8 | [
"MIT"
] | null | null | null | """
The various serializers.
Pyro - Python Remote Objects. Copyright by Irmen de Jong (irmen@razorvine.net).
"""
import array
import builtins
import uuid
import logging
import struct
import datetime
import decimal
import numbers
import inspect
import marshal
import json
import serpent
import msgpack
from . import er... | 40.487129 | 136 | 0.638316 |
import array
import builtins
import uuid
import logging
import struct
import datetime
import decimal
import numbers
import inspect
import marshal
import json
import serpent
import msgpack
from . import errors
__all__ = ["SerializerBase", "SerpentSerializer", "JsonSerializer", "MarshalSerializer", "MsgpackSerializer",... | true | true |
790400b0b1b0003ce3a396e13e8927243452890d | 4,152 | py | Python | graphic/tsp_matt.py | mattaereal/AntColonyOptimization | b45df28cb181395d290d6c6accbc9297fa863aff | [
"MIT"
] | null | null | null | graphic/tsp_matt.py | mattaereal/AntColonyOptimization | b45df28cb181395d290d6c6accbc9297fa863aff | [
"MIT"
] | null | null | null | graphic/tsp_matt.py | mattaereal/AntColonyOptimization | b45df28cb181395d290d6c6accbc9297fa863aff | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# -*- encoding: utf-8 -*-
import pygame
import sys
import numpy as np
CONST_LOCK_FILE = "lock.txt"
#CONST_GRAPH_FILE = "../tsptours/graph.tsp"
CONST_GRAPH_FILE = "graph.tsp"
CONST_STOP = "STOP"
CONST_CUSTOM_FILE = None
def main():
pygame.init()
screen = pygame.display.set_mode((700,7... | 39.923077 | 145 | 0.509152 |
import pygame
import sys
import numpy as np
CONST_LOCK_FILE = "lock.txt"
CONST_GRAPH_FILE = "graph.tsp"
CONST_STOP = "STOP"
CONST_CUSTOM_FILE = None
def main():
pygame.init()
screen = pygame.display.set_mode((700,700))
screen.fill((255,255,255))
pygame.display.set_caption("Ant Colony TSP Solver ... | false | true |
790402b801341eea86957f16f618826e2f8c3afb | 6,444 | py | Python | neutron/conf/policies/security_group.py | congnt95/neutron | 6a73a362c5ff5b7c28c15a49f47a9900c0d2b4e1 | [
"Apache-2.0"
] | 1,080 | 2015-01-04T08:35:00.000Z | 2022-03-27T09:15:52.000Z | neutron/conf/policies/security_group.py | congnt95/neutron | 6a73a362c5ff5b7c28c15a49f47a9900c0d2b4e1 | [
"Apache-2.0"
] | 24 | 2015-02-21T01:48:28.000Z | 2021-11-26T02:38:56.000Z | neutron/conf/policies/security_group.py | congnt95/neutron | 6a73a362c5ff5b7c28c15a49f47a9900c0d2b4e1 | [
"Apache-2.0"
] | 1,241 | 2015-01-02T10:47:10.000Z | 2022-03-27T09:42:23.000Z | # 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 u... | 35.021739 | 76 | 0.620112 |
from oslo_log import versionutils
from oslo_policy import policy
from neutron.conf.policies import base
DEPRECATED_REASON = (
"The security group API now supports system scope and default roles.")
SG_COLLECTION_PATH = '/security-groups'
SG_RESOURCE_PATH = '/security-groups/{id}'
RULE_COLLECTION_PATH... | true | true |
79040342f793b61a5f240c5a7ee2018396e91425 | 5,974 | py | Python | test/unit/test_cypher_encoding.py | CyberGRX/py2neo | 3e4a5a799761e6dd335e0d8e4b7d47cfff98f793 | [
"Apache-2.0"
] | null | null | null | test/unit/test_cypher_encoding.py | CyberGRX/py2neo | 3e4a5a799761e6dd335e0d8e4b7d47cfff98f793 | [
"Apache-2.0"
] | null | null | null | test/unit/test_cypher_encoding.py | CyberGRX/py2neo | 3e4a5a799761e6dd335e0d8e4b7d47cfff98f793 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# Copyright 2011-2019, Nigel Small
#
# 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
#
# Unle... | 31.114583 | 83 | 0.61165 |
from unittest import TestCase
from neotime import Date, Time, DateTime, Duration
from py2neo.data import Node
from py2neo.cypher import cypher_escape, cypher_repr
from py2neo.cypher.encoding import LabelSetView, PropertyDictView, PropertySelector
class LabelSetViewTestCase(TestCase):
def test... | true | true |
790403ce5ce41a285ed6bfe1458f484eb6c52178 | 879 | py | Python | statarb/src/python/bin/get_calcres_files.py | mikimaus78/ml_monorepo | b2c2627ff0e86e27f6829170d0dac168d8e5783b | [
"BSD-3-Clause"
] | 51 | 2019-02-01T19:43:37.000Z | 2022-03-16T09:07:03.000Z | statarb/src/python/bin/get_calcres_files.py | mikimaus78/ml_monorepo | b2c2627ff0e86e27f6829170d0dac168d8e5783b | [
"BSD-3-Clause"
] | 2 | 2019-02-23T18:54:22.000Z | 2019-11-09T01:30:32.000Z | statarb/src/python/bin/get_calcres_files.py | mikimaus78/ml_monorepo | b2c2627ff0e86e27f6829170d0dac168d8e5783b | [
"BSD-3-Clause"
] | 35 | 2019-02-08T02:00:31.000Z | 2022-03-01T23:17:00.000Z | #!/usr/bin/env python
import glob
import re
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-c", "--calctime", dest="calctime", type=int, default=1400)
parser.add_option("-s", "--startdate", dest="startdate", type=int)
parser.add_option("-r", "--rootdir", dest="rootdir", default="/apps/mu... | 30.310345 | 102 | 0.632537 |
import glob
import re
from optparse import OptionParser
parser = OptionParser()
parser.add_option("-c", "--calctime", dest="calctime", type=int, default=1400)
parser.add_option("-s", "--startdate", dest="startdate", type=int)
parser.add_option("-r", "--rootdir", dest="rootdir", default="/apps/multex/trade/run/live-p... | false | true |
7904047e8c69111e72f0d3f569feb45a35bdf839 | 60,806 | py | Python | venv/lib/python3.8/site-packages/azure/mgmt/containerservice/v2019_02_01/models/_models.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/azure/mgmt/containerservice/v2019_02_01/models/_models.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/azure/mgmt/containerservice/v2019_02_01/models/_models.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | 2 | 2021-05-23T16:46:31.000Z | 2021-05-26T23:51:09.000Z | # 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 ... | 43.776818 | 139 | 0.670526 |
from msrest.serialization import Model
from msrest.exceptions import HttpOperationError
class SubResource(Model):
_validation = {
'id': {'readonly': True},
'name': {'readonly': True},
'type': {'readonly': True},
}
_attribute_map = {
'id': {'key': 'id', 'type': ... | true | true |
7904049aa69210bd9a6fd8dccbcd790dc4d0c7e4 | 2,684 | py | Python | oemof_examples/oemof.solph/v0.4.x/activity_costs/activity_costs.py | ekatef/oemof-examples | f16511d20008c30889a6e75a788a3a1a0bc632c2 | [
"MIT"
] | 28 | 2018-11-10T12:14:04.000Z | 2022-01-14T00:01:09.000Z | oemof_examples/oemof.solph/v0.4.x/activity_costs/activity_costs.py | ekatef/oemof-examples | f16511d20008c30889a6e75a788a3a1a0bc632c2 | [
"MIT"
] | 28 | 2018-11-08T06:58:06.000Z | 2022-02-22T18:58:17.000Z | oemof_examples/oemof.solph/v0.4.x/activity_costs/activity_costs.py | oemof/examples | 4805d5cef03141a917fd8a9e1141acfa8cc9d781 | [
"MIT"
] | 55 | 2018-11-09T09:50:36.000Z | 2022-03-08T10:31:02.000Z | # -*- coding: utf-8 -*-
"""
General description
-------------------
This example illustrates the effect of activity_costs.
There are the following components:
- demand_heat: heat demand (constant, for the sake of simplicity)
- fireplace: wood firing, burns "for free" if somebody is around
- boiler: gas f... | 27.387755 | 74 | 0.554024 |
import numpy as np
import pandas as pd
from oemof import solph
try:
import matplotlib.pyplot as plt
except ImportError:
plt = None
| true | true |
790405ca1ec43439286778dca338ff1f1288395f | 473 | py | Python | tests/mock_requests.py | OtGabaldon/multiSourceWordMaps | 923caebbcd7cabce7dc4bb9ef9c845c4c9ea6ad5 | [
"MIT"
] | null | null | null | tests/mock_requests.py | OtGabaldon/multiSourceWordMaps | 923caebbcd7cabce7dc4bb9ef9c845c4c9ea6ad5 | [
"MIT"
] | null | null | null | tests/mock_requests.py | OtGabaldon/multiSourceWordMaps | 923caebbcd7cabce7dc4bb9ef9c845c4c9ea6ad5 | [
"MIT"
] | null | null | null | import os
class MockRequests:
def __init__(self):
return
def get(self, source):
source_no_http = source.replace("http://","")
test_website_path = f"{os.path.dirname(os.path.abspath(__file__))}/test_data/test_website/{source_no_http}"
with open(test_website_path,'r') ... | 26.277778 | 116 | 0.621564 | import os
class MockRequests:
def __init__(self):
return
def get(self, source):
source_no_http = source.replace("http://","")
test_website_path = f"{os.path.dirname(os.path.abspath(__file__))}/test_data/test_website/{source_no_http}"
with open(test_website_path,'r') ... | true | true |
7904061c657812f2da8fb8d8888576d00ed82345 | 146 | py | Python | virtual/bin/django-admin.py | Anitha987/Hood-Track | 7ecaecbb68a56c27aa396fddcdcbacb185d9e007 | [
"Unlicense"
] | null | null | null | virtual/bin/django-admin.py | Anitha987/Hood-Track | 7ecaecbb68a56c27aa396fddcdcbacb185d9e007 | [
"Unlicense"
] | null | null | null | virtual/bin/django-admin.py | Anitha987/Hood-Track | 7ecaecbb68a56c27aa396fddcdcbacb185d9e007 | [
"Unlicense"
] | null | null | null | #!/home/anitha/Track/virtual/bin/python
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| 24.333333 | 42 | 0.780822 |
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| true | true |
7904075b7c11dede08810f8bfc4e12b090cad734 | 10,850 | py | Python | src/data/datasets/mimic_cxr/section_parser.py | philip-mueller/lovt | 91cf2094a0e140b8431b8e4ebadc56547a8df6b2 | [
"MIT"
] | 3 | 2021-12-15T07:53:36.000Z | 2022-01-05T17:02:45.000Z | src/data/datasets/mimic_cxr/section_parser.py | philip-mueller/lovt | 91cf2094a0e140b8431b8e4ebadc56547a8df6b2 | [
"MIT"
] | null | null | null | src/data/datasets/mimic_cxr/section_parser.py | philip-mueller/lovt | 91cf2094a0e140b8431b8e4ebadc56547a8df6b2 | [
"MIT"
] | 3 | 2021-12-14T11:17:43.000Z | 2021-12-16T07:35:43.000Z | """
From https://zenodo.org/record/3539363
"""
import re
def section_text(text):
"""Splits text into sections.
Assumes text is in a radiology report format, e.g.:
COMPARISON: Chest radiograph dated XYZ.
IMPRESSION: ABC...
Given text like this, it will output text from each section, ... | 39.59854 | 79 | 0.589677 | import re
def section_text(text):
p_section = re.compile(
r'\n ([A-Z ()/,-]+):\s', re.DOTALL)
sections = list()
section_names = list()
section_idx = list()
idx = 0
s = p_section.search(text, idx)
if s:
sections.append(text[0:s.start(1)])
section_names.append('pre... | true | true |
79040934076be8f5568f60b84038d03e8bde4326 | 5,074 | py | Python | test/functional/test_framework/wallet_util.py | ludirium/ludirium | d2c6d7855ed98c62b6c9431e695d9b1a791255a6 | [
"MIT"
] | null | null | null | test/functional/test_framework/wallet_util.py | ludirium/ludirium | d2c6d7855ed98c62b6c9431e695d9b1a791255a6 | [
"MIT"
] | null | null | null | test/functional/test_framework/wallet_util.py | ludirium/ludirium | d2c6d7855ed98c62b6c9431e695d9b1a791255a6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2018-2020 The Ludirium Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Useful util functions for testing the wallet"""
from collections import namedtuple
from test_framewor... | 39.640625 | 118 | 0.615294 |
from collections import namedtuple
from test_framework.address import (
byte_to_base58,
key_to_p2pkh,
key_to_p2sh_p2wpkh,
key_to_p2wpkh,
script_to_p2sh,
script_to_p2sh_p2wsh,
script_to_p2wsh,
)
from test_framework.key import ECKey
from test_framework.script import (
CScript,
OP_... | true | true |
790409f8a12c8f871efa01911ec036b9aeba5b8f | 744 | py | Python | py3canvas/tests/quiz_submission_files.py | tylerclair/py3canvas | 7485d458606b65200f0ffa5bbe597a9d0bee189f | [
"MIT"
] | null | null | null | py3canvas/tests/quiz_submission_files.py | tylerclair/py3canvas | 7485d458606b65200f0ffa5bbe597a9d0bee189f | [
"MIT"
] | null | null | null | py3canvas/tests/quiz_submission_files.py | tylerclair/py3canvas | 7485d458606b65200f0ffa5bbe597a9d0bee189f | [
"MIT"
] | null | null | null | """QuizSubmissionFiles API Tests for Version 1.0.
This is a testing template for the generated QuizSubmissionFilesAPI Class.
"""
import unittest
import requests
import secrets
from py3canvas.apis.quiz_submission_files import QuizSubmissionFilesAPI
class TestQuizSubmissionFilesAPI(unittest.TestCase):
"""Tests for... | 32.347826 | 126 | 0.752688 | import unittest
import requests
import secrets
from py3canvas.apis.quiz_submission_files import QuizSubmissionFilesAPI
class TestQuizSubmissionFilesAPI(unittest.TestCase):
def setUp(self):
self.client = QuizSubmissionFilesAPI(
secrets.instance_address, secrets.access_token
)
def ... | true | true |
79040b3e983ee4bd243d74e0ee28efe1185f4293 | 926 | py | Python | backoffice/migrations/0006_auto_20210225_1755.py | mono57/verger.stock-mgmt | f8de21738f435f9dc2d604e0aa8187a81d04c50a | [
"MIT"
] | null | null | null | backoffice/migrations/0006_auto_20210225_1755.py | mono57/verger.stock-mgmt | f8de21738f435f9dc2d604e0aa8187a81d04c50a | [
"MIT"
] | 1 | 2021-02-23T15:54:30.000Z | 2021-02-23T15:54:30.000Z | backoffice/migrations/0006_auto_20210225_1755.py | mono57/verger.stock-mgmt | f8de21738f435f9dc2d604e0aa8187a81d04c50a | [
"MIT"
] | null | null | null | # Generated by Django 3.1.7 on 2021-02-25 17:55
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('backoffice', '0005_auto_20210225_1712'),
]
operations = [
migrations.AddField(
model_name='buyi... | 30.866667 | 132 | 0.631749 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('backoffice', '0005_auto_20210225_1712'),
]
operations = [
migrations.AddField(
model_name='buyingentry',
name='partition',
... | true | true |
79040c03d6dad6d08291960465ba46fab0ba9ac7 | 1,634 | py | Python | venv/lib/python3.8/site-packages/vsts/build/v4_1/models/source_provider_attributes.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/vsts/build/v4_1/models/source_provider_attributes.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/vsts/build/v4_1/models/source_provider_attributes.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | 2 | 2021-05-23T16:46:31.000Z | 2021-05-26T23:51:09.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -----------------------------------------------------------------... | 48.058824 | 101 | 0.585679 |
from msrest.serialization import Model
class SourceProviderAttributes(Model):
_attribute_map = {
'name': {'key': 'name', 'type': 'str'},
'supported_capabilities': {'key': 'supportedCapabilities', 'type': '{bool}'},
'supported_triggers': {'key': 'supportedTriggers', 'type'... | true | true |
79040d3424cd406b1eff8f8ac2307df05ba665ad | 1,527 | py | Python | regression/era/era.py | b8raoult/magics | eb2c86ec6e392e89c90044128dc671f22283d6ad | [
"ECL-2.0",
"Apache-2.0"
] | 41 | 2018-12-07T23:10:50.000Z | 2022-02-19T03:01:49.000Z | regression/era/era.py | b8raoult/magics | eb2c86ec6e392e89c90044128dc671f22283d6ad | [
"ECL-2.0",
"Apache-2.0"
] | 59 | 2019-01-04T15:43:30.000Z | 2022-03-31T09:48:15.000Z | regression/era/era.py | b8raoult/magics | eb2c86ec6e392e89c90044128dc671f22283d6ad | [
"ECL-2.0",
"Apache-2.0"
] | 13 | 2019-01-07T14:36:33.000Z | 2021-09-06T14:48:36.000Z | # (C) Copyright 1996-2016 ECMWF.
#
# This software is licensed under the terms of the Apache Licence Version 2.0
# which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
# In applying this licence, ECMWF does not waive the privileges and immunities
# granted to it by virtue of its status as an intergov... | 25.032787 | 80 | 0.698756 |
from Magics.macro import *
ref = 'era'
output = output(output_formats=['png'],
output_name_first_page_number='off',
output_name=ref)
projection = mmap(
subpage_x_length=24.,
subpage_upper_right_longitude=50.00,
subpage_upper_right_latitude=65.00,
subpage_... | true | true |
79040d7b3d17c727a4cdd785008bae2aa56409a7 | 331 | py | Python | HackerRank/Data Structures/Trees/height-of-a-binary-tree.py | danielfsousa/algorithms-solutions | 038c0c0bf6d89ffb1ecea596e7d4bb9bd4154ff1 | [
"MIT"
] | 1 | 2020-03-17T23:54:32.000Z | 2020-03-17T23:54:32.000Z | HackerRank/Data Structures/Trees/height-of-a-binary-tree.py | danielfsousa/algorithms-solutions | 038c0c0bf6d89ffb1ecea596e7d4bb9bd4154ff1 | [
"MIT"
] | null | null | null | HackerRank/Data Structures/Trees/height-of-a-binary-tree.py | danielfsousa/algorithms-solutions | 038c0c0bf6d89ffb1ecea596e7d4bb9bd4154ff1 | [
"MIT"
] | null | null | null | # https://www.hackerrank.com/challenges/tree-height-of-a-binary-tree/problem
def height(root):
"""
DFS
v = Vertices
e = Edges
d = Depth
Time complexity: O(v + e)
Space complexity: O(d)
"""
if root:
return 1 + max(height(root.left), height(root.right))
else:
... | 17.421053 | 76 | 0.567976 |
def height(root):
if root:
return 1 + max(height(root.left), height(root.right))
else:
return -1
| true | true |
79040e17c7d11f1e2d106744bb6d5fbf91907f6f | 65 | py | Python | example/mylib-2.0/mylib.py | mitsuhiko/multiversion | 3e7c6e1b95b73be633f498d381345b49a877a857 | [
"BSD-3-Clause"
] | 37 | 2015-11-05T03:40:40.000Z | 2021-11-22T23:18:19.000Z | example/mylib-2.0/mylib.py | mitsuhiko/multiversion | 3e7c6e1b95b73be633f498d381345b49a877a857 | [
"BSD-3-Clause"
] | 1 | 2019-05-17T08:16:21.000Z | 2019-05-17T08:21:07.000Z | example/mylib-2.0/mylib.py | mitsuhiko/multiversion | 3e7c6e1b95b73be633f498d381345b49a877a857 | [
"BSD-3-Clause"
] | 9 | 2015-05-11T03:40:55.000Z | 2022-02-07T16:22:15.000Z | version = '2.0'
import mylib
print 'self import in 2.0:', mylib
| 13 | 34 | 0.676923 | version = '2.0'
import mylib
print 'self import in 2.0:', mylib
| false | true |
79040e7428db2955d89ca4c36c7ff848e0db155a | 3,958 | py | Python | face-rec/config.py | csgcmai/lqp_face | db4ec672b352044692f8d1bcbfa181b35567b95c | [
"BSD-3-Clause"
] | 1 | 2020-04-06T16:31:56.000Z | 2020-04-06T16:31:56.000Z | face-rec/config.py | csgcmai/lqp_face | db4ec672b352044692f8d1bcbfa181b35567b95c | [
"BSD-3-Clause"
] | null | null | null | face-rec/config.py | csgcmai/lqp_face | db4ec672b352044692f8d1bcbfa181b35567b95c | [
"BSD-3-Clause"
] | null | null | null | # Configuration file with default options,
# There are four main sections: General, Features, LQP and Learning corresponding to different
# functionalities. You can disable any of the Features or Learning section (by commenting it out) according to your requirement.
[General]
# general options
idir=/home/hussain/dat... | 68.241379 | 256 | 0.698585 |
[General]
idir=/home/hussain/datasets/LFW/lfwa
odir=/scratch/testing/new-experiments/
dataset=LFW
width=80
height=150
padding=10
xoffset=1
yoffset=-4
cbdataset=train-val | false | true |
79040ee42e9d48bfae8ed960aabe08c30bf0134f | 1,135 | py | Python | biotransformers/utils/deprecated.py | ahmed-dj/bio-transformers | f7a08d75c2496db2bbd42ca4fcb95a48fc43a325 | [
"Apache-2.0"
] | null | null | null | biotransformers/utils/deprecated.py | ahmed-dj/bio-transformers | f7a08d75c2496db2bbd42ca4fcb95a48fc43a325 | [
"Apache-2.0"
] | null | null | null | biotransformers/utils/deprecated.py | ahmed-dj/bio-transformers | f7a08d75c2496db2bbd42ca4fcb95a48fc43a325 | [
"Apache-2.0"
] | null | null | null | import functools
import warnings
def deprecated_alias(**aliases):
def deco(f):
@functools.wraps(f)
def wrapper(*args, **kwargs):
rename_kwargs(f.__name__, kwargs, aliases)
return f(*args, **kwargs)
return wrapper
return deco
def rename_kwargs(func_name, kwar... | 29.868421 | 95 | 0.5163 | import functools
import warnings
def deprecated_alias(**aliases):
def deco(f):
@functools.wraps(f)
def wrapper(*args, **kwargs):
rename_kwargs(f.__name__, kwargs, aliases)
return f(*args, **kwargs)
return wrapper
return deco
def rename_kwargs(func_name, kwar... | true | true |
79040eed931a507c8701c847570903d6715a6f2e | 9,615 | py | Python | arcface/resnet_cbam.py | DerryHub/the-TaobaoLive-Commodity-Identify-Competition | 7e5e5c4fbddd9949fe01810d58bd7994889c007c | [
"MIT"
] | 4 | 2020-08-15T14:49:37.000Z | 2022-01-16T08:34:07.000Z | arcface/resnet_cbam.py | weilin-droid/the-TaobaoLive-Commodity-Identify-Competition | 7e5e5c4fbddd9949fe01810d58bd7994889c007c | [
"MIT"
] | null | null | null | arcface/resnet_cbam.py | weilin-droid/the-TaobaoLive-Commodity-Identify-Competition | 7e5e5c4fbddd9949fe01810d58bd7994889c007c | [
"MIT"
] | 2 | 2021-05-26T05:16:09.000Z | 2021-06-09T09:07:49.000Z | import torch
import torch.nn as nn
import math
from arcface.utils import l2_norm, Flatten, SentVec_TFIDF
model_urls = {
'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth',
'resnet34': 'https://download.pytorch.org/models/resnet34-333f7ec4.pth',
'resnet50': 'https://download.pytorch.org... | 33.618881 | 87 | 0.562142 | import torch
import torch.nn as nn
import math
from arcface.utils import l2_norm, Flatten, SentVec_TFIDF
model_urls = {
'resnet18': 'https://download.pytorch.org/models/resnet18-5c106cde.pth',
'resnet34': 'https://download.pytorch.org/models/resnet34-333f7ec4.pth',
'resnet50': 'https://download.pytorch.org... | true | true |
79040fd264c62a3212a6d1e39120e3bd8b887c0c | 15,407 | py | Python | TableData.py | mokko/PyTableData | 06890c8981bd1ca1de1a87c9c15f21c35b0fda8b | [
"Apache-2.0"
] | null | null | null | TableData.py | mokko/PyTableData | 06890c8981bd1ca1de1a87c9c15f21c35b0fda8b | [
"Apache-2.0"
] | null | null | null | TableData.py | mokko/PyTableData | 06890c8981bd1ca1de1a87c9c15f21c35b0fda8b | [
"Apache-2.0"
] | null | null | null | import os
'''
TableData deals with data that comes from MS Excel, csv, xml. More precisely, it expects
a single table which has headings in the first row. It converts between these formats and usually keeps
information on a round trip between those formats identical.
TableData also allows for simple transformations,... | 31.507157 | 130 | 0.541247 | import os
class TableData:
def verbose (self, msg):
if self._verbose:
print (msg)
def _uniqueColumns (self):
if len(set(self.table[0])) != len(self.table[0]):
raise Exception('Column names not unique')
def __init__ (self, ingester, infile, verbose=None):... | true | true |
790411e7bc5f3e702dbb4fea9c70d0af99e23705 | 3,075 | py | Python | examine_vectors.py | ajitrajasekharan/bert_mask | 33c7067134f2696b849fdb273443306026c5527d | [
"MIT"
] | 24 | 2019-12-21T15:08:29.000Z | 2022-01-18T16:41:41.000Z | examine_vectors.py | ajitrajasekharan/bert_mask | 33c7067134f2696b849fdb273443306026c5527d | [
"MIT"
] | 1 | 2021-09-06T08:57:35.000Z | 2021-09-06T09:52:52.000Z | examine_vectors.py | ajitrajasekharan/bert_mask | 33c7067134f2696b849fdb273443306026c5527d | [
"MIT"
] | 7 | 2019-12-17T17:10:59.000Z | 2022-03-02T20:19:05.000Z | import torch
from transformers import *
import pdb
import operator
from collections import OrderedDict
import sys
# OPTIONAL: if you want to have more information on what's happening, activate the logger as follows
import logging
logging.basicConfig(level=logging.INFO)
PATH='bert-base-cased'
# Load pre-trained model... | 30.147059 | 100 | 0.59935 | import torch
from transformers import *
import pdb
import operator
from collections import OrderedDict
import sys
import logging
logging.basicConfig(level=logging.INFO)
PATH='bert-base-cased'
# Load pre-trained model tokenizer (vocabulary)
tokenizer = BertTokenizer.from_pretrained(PATH,do_lower_case=False)
model = ... | true | true |
790412db427107f1867883f7ce1885b564a56b43 | 1,227 | py | Python | cgan/utils.py | GodWriter/GAN-Pytorch | 42e0657ae4844c9644a2c382de6af977733d9074 | [
"Apache-2.0"
] | 8 | 2020-07-20T13:18:18.000Z | 2021-03-22T07:14:03.000Z | cgan/utils.py | GodWriter/GAN-Pytorch | 42e0657ae4844c9644a2c382de6af977733d9074 | [
"Apache-2.0"
] | null | null | null | cgan/utils.py | GodWriter/GAN-Pytorch | 42e0657ae4844c9644a2c382de6af977733d9074 | [
"Apache-2.0"
] | 1 | 2020-08-12T07:33:05.000Z | 2020-08-12T07:33:05.000Z | import os
import imageio
import numpy as np
from PIL import Image
from torch.autograd import Variable
from torchvision.utils import save_image
def create_gif(image_path):
frames = []
gif_name = os.path.join("images", 'mnist1.gif')
image_list = os.listdir(image_path)
sorted(image_list)
for image... | 26.106383 | 90 | 0.691932 | import os
import imageio
import numpy as np
from PIL import Image
from torch.autograd import Variable
from torchvision.utils import save_image
def create_gif(image_path):
frames = []
gif_name = os.path.join("images", 'mnist1.gif')
image_list = os.listdir(image_path)
sorted(image_list)
for image... | true | true |
79041390966a2807262471c30d556211b6a6eaf9 | 14,354 | py | Python | char_PTB/char_ptb.py | CookieBox26/trellisnet | 356b1d9828012cc4929728a492b771c44161e089 | [
"MIT"
] | 442 | 2018-10-17T14:59:26.000Z | 2022-03-13T11:24:42.000Z | TrellisNet/char_PTB/char_ptb.py | chr6192/trellisnet | ec1de0a5ee09ef5a4c5bca4c83456dec8cbdf4c8 | [
"MIT"
] | 7 | 2018-12-07T18:44:04.000Z | 2020-11-19T11:25:23.000Z | TrellisNet/char_PTB/char_ptb.py | chr6192/trellisnet | ec1de0a5ee09ef5a4c5bca4c83456dec8cbdf4c8 | [
"MIT"
] | 70 | 2018-10-18T01:18:16.000Z | 2021-08-16T13:59:48.000Z | import argparse
import torch.optim as optim
import sys
from utils import *
from data import data_generator
import time
import math
from setproctitle import setproctitle
import warnings
sys.path.append("../")
from model import TrellisNetModel
warnings.filterwarnings("ignore") # Suppress the RunTimeWarning on unicode... | 39.111717 | 109 | 0.585063 | import argparse
import torch.optim as optim
import sys
from utils import *
from data import data_generator
import time
import math
from setproctitle import setproctitle
import warnings
sys.path.append("../")
from model import TrellisNetModel
warnings.filterwarnings("ignore")
parser = argparse.ArgumentParser(descr... | true | true |
7904143cc3239879e6410db14e5d448d160ace9f | 842 | py | Python | main.py | caxenie/oom-oop-intro | e70cd2ab8067b4d81001b7491deab9e029eefd3d | [
"MIT"
] | 1 | 2022-02-23T20:18:35.000Z | 2022-02-23T20:18:35.000Z | main.py | caxenie/oom-oop-intro | e70cd2ab8067b4d81001b7491deab9e029eefd3d | [
"MIT"
] | null | null | null | main.py | caxenie/oom-oop-intro | e70cd2ab8067b4d81001b7491deab9e029eefd3d | [
"MIT"
] | null | null | null | from eingabe import EinsatzstoffeEingabe
from ausgabe import *
from verarbeitung import *
from plannung import *
if __name__ == '__main__':
eingabe1 = EinsatzstoffeEingabe(100000, "Erz", "Indien")
eingabe2 = EinsatzstoffeEingabe(59000, "Kochen", "Rumänien")
ausgabe1 = ProzessAusgabe(100, 200, "Sc... | 35.083333 | 76 | 0.723278 | from eingabe import EinsatzstoffeEingabe
from ausgabe import *
from verarbeitung import *
from plannung import *
if __name__ == '__main__':
eingabe1 = EinsatzstoffeEingabe(100000, "Erz", "Indien")
eingabe2 = EinsatzstoffeEingabe(59000, "Kochen", "Rumänien")
ausgabe1 = ProzessAusgabe(100, 200, "Sc... | true | true |
7904146020cf731e027e576e42561b71ee9d92c4 | 19,173 | py | Python | config/jupyter/jupyter_notebook_config.py | alonsoir/pipeline | 1480df925a840b6e45f163caf78d50829eb94ff0 | [
"Apache-2.0"
] | 1 | 2019-01-16T05:52:53.000Z | 2019-01-16T05:52:53.000Z | config/jupyter/jupyter_notebook_config.py | TrinathY/pipeline | a08cabfefd3521a880d11f1e4b02286287118b6c | [
"Apache-2.0"
] | null | null | null | config/jupyter/jupyter_notebook_config.py | TrinathY/pipeline | a08cabfefd3521a880d11f1e4b02286287118b6c | [
"Apache-2.0"
] | null | null | null | # Configuration file for jupyter-notebook.
#------------------------------------------------------------------------------
# Configurable configuration
#------------------------------------------------------------------------------
#------------------------------------------------------------------------------
# Sing... | 36.942197 | 109 | 0.668388 |
c.JupyterApp.answer_yes = True
c.NotebookApp.port_retries = 0
c.NotebookApp.ip = '*'
c.NotebookApp.server_extensions=['ipyparallel.nbextension']
c.NotebookApp.port = 8754
c.NotebookApp.allow_origin = '*'
... | true | true |
79041484b8c6a9a76e5f13c17b77c7b297ee0ad2 | 17,044 | py | Python | lib/python2.7/site-packages/django_filters/filterset.py | ervinpepic/E-commerce | 2c15255d1730728cf35c166b9f88cffcb99f5323 | [
"MIT"
] | null | null | null | lib/python2.7/site-packages/django_filters/filterset.py | ervinpepic/E-commerce | 2c15255d1730728cf35c166b9f88cffcb99f5323 | [
"MIT"
] | null | null | null | lib/python2.7/site-packages/django_filters/filterset.py | ervinpepic/E-commerce | 2c15255d1730728cf35c166b9f88cffcb99f5323 | [
"MIT"
] | 2 | 2019-04-29T14:16:10.000Z | 2020-07-23T12:04:17.000Z | from __future__ import absolute_import
from __future__ import unicode_literals
import types
import copy
from django import forms
from django.forms.forms import NON_FIELD_ERRORS
from django.core.validators import EMPTY_VALUES
from django.db import models
from django.db.models.fields import FieldDoesNotExist
from djang... | 33.884692 | 106 | 0.582962 | from __future__ import absolute_import
from __future__ import unicode_literals
import types
import copy
from django import forms
from django.forms.forms import NON_FIELD_ERRORS
from django.core.validators import EMPTY_VALUES
from django.db import models
from django.db.models.fields import FieldDoesNotExist
from djang... | true | true |
790414eed7a4aee29cbcf69ab462c7f4242d3ab6 | 6,327 | py | Python | sdk/keyvault/azure-mgmt-keyvault/azure/mgmt/keyvault/v2021_04_01_preview/_key_vault_management_client.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 2,728 | 2015-01-09T10:19:32.000Z | 2022-03-31T14:50:33.000Z | sdk/keyvault/azure-mgmt-keyvault/azure/mgmt/keyvault/v2021_04_01_preview/_key_vault_management_client.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 17,773 | 2015-01-05T15:57:17.000Z | 2022-03-31T23:50:25.000Z | sdk/keyvault/azure-mgmt-keyvault/azure/mgmt/keyvault/v2021_04_01_preview/_key_vault_management_client.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 1,916 | 2015-01-19T05:05:41.000Z | 2022-03-31T19:36:44.000Z | # 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 may ... | 52.725 | 172 | 0.739687 |
from typing import TYPE_CHECKING
from azure.mgmt.core import ARMPipelineClient
from msrest import Deserializer, Serializer
if TYPE_CHECKING:
from typing import Any, Optional
from azure.core.credentials import TokenCredential
from azure.core.pipeline.transport import HttpRequest, HttpResponse... | true | true |
790415bee65970c117ada3a9e0c7250a6b0058c9 | 6,067 | py | Python | venv/Lib/site-packages/tensorflow/contrib/periodic_resample/python/ops/gen_periodic_resample_op.py | ishatserka/MachineLearningAndDataAnalysisCoursera | e82e772df2f4aec162cb34ac6127df10d14a625a | [
"MIT"
] | null | null | null | venv/Lib/site-packages/tensorflow/contrib/periodic_resample/python/ops/gen_periodic_resample_op.py | ishatserka/MachineLearningAndDataAnalysisCoursera | e82e772df2f4aec162cb34ac6127df10d14a625a | [
"MIT"
] | null | null | null | venv/Lib/site-packages/tensorflow/contrib/periodic_resample/python/ops/gen_periodic_resample_op.py | ishatserka/MachineLearningAndDataAnalysisCoursera | e82e772df2f4aec162cb34ac6127df10d14a625a | [
"MIT"
] | 1 | 2019-11-29T12:28:33.000Z | 2019-11-29T12:28:33.000Z | """Python wrappers around TensorFlow ops.
This file is MACHINE GENERATED! Do not edit.
"""
import collections as _collections
from tensorflow.python.eager import execute as _execute
from tensorflow.python.eager import context as _context
from tensorflow.python.eager import core as _core
from tensorflow.python.framew... | 38.891026 | 247 | 0.647602 |
import collections as _collections
from tensorflow.python.eager import execute as _execute
from tensorflow.python.eager import context as _context
from tensorflow.python.eager import core as _core
from tensorflow.python.framework import dtypes as _dtypes
from tensorflow.python.framework import tensor_shape as _tensor... | true | true |
7904170d3c8142ffcd70d73d75dd5cdaa82082ab | 1,122 | py | Python | scripts/pivot_cluster_day.py | isabella232/allsongsconsidered-poll | f4b63effcf57c6b6680eac9f11a55cd0541e358c | [
"MIT"
] | 3 | 2018-01-04T12:07:28.000Z | 2018-04-10T02:10:27.000Z | scripts/pivot_cluster_day.py | nprapps/allsongsconsidered-poll | f4b63effcf57c6b6680eac9f11a55cd0541e358c | [
"MIT"
] | 1 | 2021-02-24T06:47:12.000Z | 2021-02-24T06:47:12.000Z | scripts/pivot_cluster_day.py | isabella232/allsongsconsidered-poll | f4b63effcf57c6b6680eac9f11a55cd0541e358c | [
"MIT"
] | 3 | 2018-08-03T22:10:04.000Z | 2022-03-23T11:33:55.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
import sys
import numpy as np
import pandas as pd
def run(args):
data = pd.read_csv(sys.stdin)
# Find maximum rank value and increase by one to use as a fill_value
# on the pivot with cluster by day
# notfound_value = grouped['rank'].max()... | 29.526316 | 76 | 0.564171 |
import argparse
import sys
import numpy as np
import pandas as pd
def run(args):
data = pd.read_csv(sys.stdin)
s='rank',
index='Cluster ID',
columns=['day'],
fill_value=args.notfound_value,
... | true | true |
7904176478811e02fa8f18ce975f9b7bee88c17a | 488 | py | Python | visitor_manage/src/migrations/0011_auto_20200622_1909.py | parth-27/Visitor-Management-System | 575b7ad1a4eecf65e764399ea53e836b8cf1768d | [
"MIT"
] | 3 | 2020-06-30T15:46:56.000Z | 2021-11-17T13:13:15.000Z | visitor_manage/src/migrations/0011_auto_20200622_1909.py | DipikaPawar12/Visitor-Management-System | 9585d8613daa4f5a0b0a81cce6850f79db768a64 | [
"MIT"
] | 1 | 2021-06-10T19:39:03.000Z | 2021-06-10T19:39:03.000Z | visitor_manage/src/migrations/0011_auto_20200622_1909.py | DipikaPawar12/Visitor-Management-System | 9585d8613daa4f5a0b0a81cce6850f79db768a64 | [
"MIT"
] | 1 | 2020-06-30T15:49:07.000Z | 2020-06-30T15:49:07.000Z | # Generated by Django 3.0.6 on 2020-06-22 13:39
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('src', '0010_temporaryuser'),
]
operations = [
migrations.RemoveField(
model_name='admin',
name='username',
)... | 21.217391 | 52 | 0.567623 |
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('src', '0010_temporaryuser'),
]
operations = [
migrations.RemoveField(
model_name='admin',
name='username',
),
migrations.AlterField(
mo... | true | true |
7904181897d18bef74f6721d936b2d86fe42d63f | 1,124 | py | Python | reco_utils/recommender/geoimc/geoimc_utils.py | suhoy901/recommenders | 8ec9f1950d694a5aeaa3d463ac23cad661a30a11 | [
"MIT"
] | 28 | 2021-11-12T08:26:40.000Z | 2022-03-27T07:21:24.000Z | reco_utils/recommender/geoimc/geoimc_utils.py | shobhit-agarwal/recommenders | 8ec9f1950d694a5aeaa3d463ac23cad661a30a11 | [
"MIT"
] | 5 | 2021-11-10T02:58:32.000Z | 2022-03-21T16:13:11.000Z | reco_utils/recommender/geoimc/geoimc_utils.py | shobhit-agarwal/recommenders | 8ec9f1950d694a5aeaa3d463ac23cad661a30a11 | [
"MIT"
] | 9 | 2021-11-03T07:14:47.000Z | 2022-02-22T13:42:04.000Z | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
import numpy as np
from sklearn.decomposition import PCA
from reco_utils.dataset.download_utils import maybe_download
from IPython import embed
def length_normalize(matrix):
"""Length normalize the matrix
Args:
... | 24.977778 | 78 | 0.685943 |
import numpy as np
from sklearn.decomposition import PCA
from reco_utils.dataset.download_utils import maybe_download
from IPython import embed
def length_normalize(matrix):
norms = np.sqrt(np.sum(matrix**2, axis=1))
norms[norms == 0] = 1
return matrix / norms[:, np.newaxis]
def mean_center(matrix):
... | true | true |
7904183312d4874c673a84bb789e7b6e2a22235a | 20,353 | py | Python | Chapter5_LossFunctions/DarkWorldsMetric.py | RKDSOne/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | a3d172bd92a8eab8f2eb87ebe707b9a102eec747 | [
"MIT"
] | 17 | 2016-11-19T14:11:06.000Z | 2021-11-27T09:18:18.000Z | Chapter5_LossFunctions/DarkWorldsMetric.py | djv/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | ff9ee06a677efa522939f25d95ac87b9804440dc | [
"MIT"
] | null | null | null | Chapter5_LossFunctions/DarkWorldsMetric.py | djv/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers | ff9ee06a677efa522939f25d95ac87b9804440dc | [
"MIT"
] | 9 | 2015-10-08T09:40:12.000Z | 2021-01-18T08:26:29.000Z | """ DarkWorldsMetricMountianOsteric.py
Custom evaluation metric for the 'Observing Dark Worlds' competition.
[Description of metric, or reference to documentation.]
Update: Made for the training set only so users can check there results from the training c
@Author: David Harvey
Created: 22 August 2012
"""
import nu... | 46.896313 | 188 | 0.604284 | """ DarkWorldsMetricMountianOsteric.py
Custom evaluation metric for the 'Observing Dark Worlds' competition.
[Description of metric, or reference to documentation.]
Update: Made for the training set only so users can check there results from the training c
@Author: David Harvey
Created: 22 August 2012
"""
import nu... | false | true |
79041988748b5e99d242d1b0996a0f5f1221f105 | 936 | py | Python | tools/mo/openvino/tools/mo/front/mxnet/eye_ext.py | opencv/dldt | c0a2c98a457a08e8853abc18f5bd462169d0b354 | [
"Apache-2.0"
] | 1,127 | 2018-10-15T14:36:58.000Z | 2020-04-20T09:29:44.000Z | tools/mo/openvino/tools/mo/front/mxnet/eye_ext.py | opencv/dldt | c0a2c98a457a08e8853abc18f5bd462169d0b354 | [
"Apache-2.0"
] | 439 | 2018-10-20T04:40:35.000Z | 2020-04-19T05:56:25.000Z | tools/mo/openvino/tools/mo/front/mxnet/eye_ext.py | opencv/dldt | c0a2c98a457a08e8853abc18f5bd462169d0b354 | [
"Apache-2.0"
] | 414 | 2018-10-17T05:53:46.000Z | 2020-04-16T17:29:53.000Z | # Copyright (C) 2018-2022 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
import numpy as np
from openvino.tools.mo.ops.eye import MXEye
from openvino.tools.mo.front.extractor import FrontExtractorOp
from openvino.tools.mo.front.mxnet.extractors.utils import get_mxnet_layer_attrs
class EyeExtractor(FrontExt... | 34.666667 | 129 | 0.700855 |
import numpy as np
from openvino.tools.mo.ops.eye import MXEye
from openvino.tools.mo.front.extractor import FrontExtractorOp
from openvino.tools.mo.front.mxnet.extractors.utils import get_mxnet_layer_attrs
class EyeExtractor(FrontExtractorOp):
op = '_eye'
enabled = True
@classmethod
def extract(... | true | true |
790419e9917bd972edf29cb9a5d0bac3ca44d44c | 598 | py | Python | mooda/input/read_pkl.py | rbardaji/mooda | 00c0f9fae657d3d0f7dd3772a029f78a182a07b2 | [
"MIT"
] | 15 | 2018-08-08T10:46:04.000Z | 2021-09-24T14:38:37.000Z | mooda/input/read_pkl.py | rbardaji/mooda | 00c0f9fae657d3d0f7dd3772a029f78a182a07b2 | [
"MIT"
] | 3 | 2019-05-14T11:40:40.000Z | 2020-04-30T07:17:15.000Z | mooda/input/read_pkl.py | rbardaji/mooda | 00c0f9fae657d3d0f7dd3772a029f78a182a07b2 | [
"MIT"
] | 4 | 2018-11-02T14:44:59.000Z | 2021-05-10T21:57:25.000Z | """ Implementation of mooda.read_pkl(path) """
import pickle
from .. import WaterFrame
def read_pkl(path_pkl):
"""
Get a WaterFrame from a pickle file.
Parameters
----------
path_pkl: str
Location of the pickle file.
Returns
-------
wf_pkl: WaterFram... | 22.148148 | 57 | 0.600334 | import pickle
from .. import WaterFrame
def read_pkl(path_pkl):
wf_pkl = WaterFrame()
pickle_dataset = pickle.load(open(path_pkl, "rb"))
wf_pkl.data = pickle_dataset.get('data')
wf_pkl.vocabulary = pickle_dataset.get('vocabulary')
wf_pkl.metadata = pickle_dataset.get('metadata')
... | true | true |
79041a5d66b00791b597a86ab9714b8271acbd89 | 1,655 | py | Python | tests/spider/setting.py | sirliu/feapder | 1a8464dfa047c13f7a99c47cbff8d27c63798651 | [
"MIT"
] | null | null | null | tests/spider/setting.py | sirliu/feapder | 1a8464dfa047c13f7a99c47cbff8d27c63798651 | [
"MIT"
] | null | null | null | tests/spider/setting.py | sirliu/feapder | 1a8464dfa047c13f7a99c47cbff8d27c63798651 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""爬虫配置文件"""
import os
# MYSQL
MYSQL_IP = "localhost"
MYSQL_PORT = 3306
MYSQL_DB = "feapder"
MYSQL_USER_NAME = "feapder"
MYSQL_USER_PASS = "feapder123"
# REDIS
# IP:PORT
REDISDB_IP_PORTS = "localhost:6379"
REDISDB_USER_PASS = ""
REDISDB_DB = 0
# # 爬虫相关
# # COLLECTOR
COLLECTOR_SLEEP_TIME = 1 ... | 23.309859 | 70 | 0.735347 |
import os
MYSQL_IP = "localhost"
MYSQL_PORT = 3306
MYSQL_DB = "feapder"
MYSQL_USER_NAME = "feapder"
MYSQL_USER_PASS = "feapder123"
REDISDB_IP_PORTS = "localhost:6379"
REDISDB_USER_PASS = ""
REDISDB_DB = 0
_TIME = 1
COLLECTOR_TASK_COUNT = 100
THREAD_COUNT = 1
| true | true |
79041a8ba61b4377cccc2fe773aa21c970c59b26 | 59,952 | py | Python | invest_natcap/scenario_generator/scenario_generator.py | phargogh/invest-natcap.invest-3 | ee96055a4fa034d9a95fa8ccc6259ab03264e6c1 | [
"BSD-3-Clause"
] | null | null | null | invest_natcap/scenario_generator/scenario_generator.py | phargogh/invest-natcap.invest-3 | ee96055a4fa034d9a95fa8ccc6259ab03264e6c1 | [
"BSD-3-Clause"
] | null | null | null | invest_natcap/scenario_generator/scenario_generator.py | phargogh/invest-natcap.invest-3 | ee96055a4fa034d9a95fa8ccc6259ab03264e6c1 | [
"BSD-3-Clause"
] | null | null | null | import sys
import os
import math
import shutil
import disk_sort
import struct
import operator
import logging
from decimal import Decimal
from fractions import Fraction
import numpy
from scipy.linalg import eig
import scipy.ndimage
import cProfile
import pstats
from osgeo import gdal, ogr
import pygeoprocessing.geopr... | 42.042076 | 166 | 0.583283 | import sys
import os
import math
import shutil
import disk_sort
import struct
import operator
import logging
from decimal import Decimal
from fractions import Fraction
import numpy
from scipy.linalg import eig
import scipy.ndimage
import cProfile
import pstats
from osgeo import gdal, ogr
import pygeoprocessing.geopr... | false | true |
79041ac936abcd6666ac87e8ba76e72dcda1e615 | 1,157 | py | Python | CTCI/Data Structures/Trees/tries.py | Wmeng98/Leetcode | 5c4d0ab211e637801f3ae11154850a476de2ca41 | [
"MIT"
] | 4 | 2020-09-13T23:41:32.000Z | 2022-01-08T21:27:58.000Z | CTCI/Data Structures/Trees/tries.py | Wmeng98/Leetcode | 5c4d0ab211e637801f3ae11154850a476de2ca41 | [
"MIT"
] | null | null | null | CTCI/Data Structures/Trees/tries.py | Wmeng98/Leetcode | 5c4d0ab211e637801f3ae11154850a476de2ca41 | [
"MIT"
] | null | null | null | '''
TRIES
Trie support search, insert, and deletion in O(L) time where L is length of the key
why Trie?
* With Trie, we can insert and find strings in O(L) time where L represent the length of a single word. This is obviously faster than BST.
This is also faster than Hashing because of the ways it is im... | 28.925 | 147 | 0.703544 |
class TrieNode:
def __init__(self):
self.children = [None]*26
self.isEndOfWord = False | true | true |
79041b525ccea400d5b22fa9f35211813cc266c9 | 5,755 | py | Python | Backend/judgestatus/views.py | RAyymask/LPOJ | 2f7ce194f1d510d8d006c2a35fdaa272f20ef1f3 | [
"MIT"
] | 1 | 2022-03-16T09:49:55.000Z | 2022-03-16T09:49:55.000Z | Backend/judgestatus/views.py | RAyymask/LPOJ | 2f7ce194f1d510d8d006c2a35fdaa272f20ef1f3 | [
"MIT"
] | null | null | null | Backend/judgestatus/views.py | RAyymask/LPOJ | 2f7ce194f1d510d8d006c2a35fdaa272f20ef1f3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from django.shortcuts import render
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework.throttling import ScopedRateThrottle
from rest_framework.views import APIView
from rest_framework.status import HTTP_200_OK, HTTP_400_BAD_REQUEST
from rest_framework.response imp... | 40.244755 | 197 | 0.692441 |
from django.shortcuts import render
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework.throttling import ScopedRateThrottle
from rest_framework.views import APIView
from rest_framework.status import HTTP_200_OK, HTTP_400_BAD_REQUEST
from rest_framework.response import Response
from rest_... | true | true |
79041ba585f4b98a982cafda9e8addb7801df625 | 356 | py | Python | webapp/models.py | devsunny/flask-secure-upload | a69ffe6c53b5c6ba719516bb3e4379e39cacac75 | [
"MIT"
] | null | null | null | webapp/models.py | devsunny/flask-secure-upload | a69ffe6c53b5c6ba719516bb3e4379e39cacac75 | [
"MIT"
] | null | null | null | webapp/models.py | devsunny/flask-secure-upload | a69ffe6c53b5c6ba719516bb3e4379e39cacac75 | [
"MIT"
] | null | null | null | # models.py
from flask_login import UserMixin
from . import db
class User(UserMixin, db.Model):
id = db.Column(db.Integer, primary_key=True) # primary keys are required by SQLAlchemy
email = db.Column(db.String(100), unique=True)
password = db.Column(db.String(100))
name = db.Column(db.String(1000))
... | 32.363636 | 90 | 0.707865 |
from flask_login import UserMixin
from . import db
class User(UserMixin, db.Model):
id = db.Column(db.Integer, primary_key=True)
email = db.Column(db.String(100), unique=True)
password = db.Column(db.String(100))
name = db.Column(db.String(1000))
home = db.Column(db.String(1000)) | true | true |
79041c07ac974a91b0edeef507b9c29c334b71e3 | 667 | py | Python | simplecoremidi/examples/play_a_scale.py | cclauss/simplecoremidi | cf951eefe4e85fc709c40248aa55682b7c7f3663 | [
"MIT"
] | 23 | 2015-09-10T18:32:21.000Z | 2022-03-25T14:47:57.000Z | simplecoremidi/examples/play_a_scale.py | Miselu/simplecoremidi | 77a2c2dc69c3cca66eae5365eb6bd24c4998b7e2 | [
"MIT"
] | null | null | null | simplecoremidi/examples/play_a_scale.py | Miselu/simplecoremidi | 77a2c2dc69c3cca66eae5365eb6bd24c4998b7e2 | [
"MIT"
] | 9 | 2016-10-23T02:16:26.000Z | 2022-03-25T14:47:59.000Z | from simplecoremidi import send_midi
from time import sleep
def play_a_scale():
root_note = 60 # This is middle C
channel = 1 # This is MIDI channel 1
note_on_action = 0x90
major_steps = [2, 2, 1, 2, 2, 2, 1, 0]
velocity = 127
note = root_note
for step in major_steps:
send_midi((... | 24.703704 | 70 | 0.554723 | from simplecoremidi import send_midi
from time import sleep
def play_a_scale():
root_note = 60
channel = 1
note_on_action = 0x90
major_steps = [2, 2, 1, 2, 2, 2, 1, 0]
velocity = 127
note = root_note
for step in major_steps:
send_midi((note_on_action | channel,
... | true | true |
79041cccc4a095c51dc8b00eb5fe1c02ad5a666c | 1,013 | py | Python | test/test_docx_set_header_request.py | Cloudmersive/Cloudmersive.APIClient.Python.Convert | dba2fe7257229ebdacd266531b3724552c651009 | [
"Apache-2.0"
] | 3 | 2018-07-25T23:04:34.000Z | 2021-08-10T16:43:10.000Z | test/test_docx_set_header_request.py | Cloudmersive/Cloudmersive.APIClient.Python.Convert | dba2fe7257229ebdacd266531b3724552c651009 | [
"Apache-2.0"
] | 3 | 2020-11-23T10:46:48.000Z | 2021-12-30T14:09:34.000Z | test/test_docx_set_header_request.py | Cloudmersive/Cloudmersive.APIClient.Python.Convert | dba2fe7257229ebdacd266531b3724552c651009 | [
"Apache-2.0"
] | 2 | 2020-01-07T09:48:01.000Z | 2020-11-23T10:47:00.000Z | # coding: utf-8
"""
convertapi
Convert API lets you effortlessly convert file formats and types. # noqa: E501
OpenAPI spec version: v1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import cloudmersive_convert_api_... | 24.707317 | 117 | 0.741362 |
from __future__ import absolute_import
import unittest
import cloudmersive_convert_api_client
from cloudmersive_convert_api_client.models.docx_set_header_request import DocxSetHeaderRequest
from cloudmersive_convert_api_client.rest import ApiException
class TestDocxSetHeaderRequest(unittest.TestCase):
de... | true | true |
79041da34a10699dab1d4113d71953c80adccf16 | 7,552 | py | Python | adafruit_imageload/gif/__init__.py | sajattack/Adafruit_CircuitPython_ImageLoad | d60a714b56a74c40867fd09330fb1f1be38b9e22 | [
"MIT"
] | null | null | null | adafruit_imageload/gif/__init__.py | sajattack/Adafruit_CircuitPython_ImageLoad | d60a714b56a74c40867fd09330fb1f1be38b9e22 | [
"MIT"
] | null | null | null | adafruit_imageload/gif/__init__.py | sajattack/Adafruit_CircuitPython_ImageLoad | d60a714b56a74c40867fd09330fb1f1be38b9e22 | [
"MIT"
] | null | null | null | # The MIT License (MIT)
#
# Copyright (c) 2019 Paul Sajna for Adafruit Industries LLC
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the r... | 39.747368 | 105 | 0.552039 |
__version__ = "0.0.0-auto.0"
__repo__ = "https://github.com/adafruit/Adafruit_CircuitPython_ImageLoad.git"
bitmaps = []
def load(f):
bitmaps = []
palette = []
table = []
f.seek(3)
version = f.read(3)
if (version != b'89a') and (version != b'87a'):
raise RuntimeE... | true | true |
79041f3be1f5a467637167f0ce3a36bc282498b5 | 2,195 | py | Python | ping/ping.py | yzs981130/Kurose-and-Ross-socket-programming-exercises-1 | fd7a27b48e7de98a216fa3a8905758856e70d5d7 | [
"CC0-1.0"
] | 63 | 2015-04-09T13:52:33.000Z | 2022-01-25T10:46:29.000Z | ping/ping.py | shenaishiren/Kurose-and-Ross-socket-programming-exercises | fd7a27b48e7de98a216fa3a8905758856e70d5d7 | [
"CC0-1.0"
] | 2 | 2016-02-23T06:19:06.000Z | 2018-09-09T18:53:35.000Z | ping/ping.py | shenaishiren/Kurose-and-Ross-socket-programming-exercises | fd7a27b48e7de98a216fa3a8905758856e70d5d7 | [
"CC0-1.0"
] | 74 | 2015-04-13T08:03:11.000Z | 2022-01-25T10:46:49.000Z | #!/usr/bin/env python3
import sys
import argparse
import time
import socket
from socket import socket as Socket
def main():
# Command line arguments. Use a server_port > 1024 by default so that we can run
# server without sudo.
parser = argparse.ArgumentParser()
parser.add_argument('--server-po... | 28.881579 | 84 | 0.653759 |
import sys
import argparse
import time
import socket
from socket import socket as Socket
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--server-port', '-p', default=2081, type=int,
help='Server_Port to use')
parser.add_argument('--run-se... | true | true |
79041f456f081182daf44f3daac2ef9b888bf30f | 6,912 | py | Python | svg/path/parser.py | judithfan/sketch-rnn | 4c269499439c08619e88b5cf6b421661f1648082 | [
"MIT"
] | 1 | 2020-04-10T16:50:26.000Z | 2020-04-10T16:50:26.000Z | svg/path/parser.py | judithfan/sketch-rnn | 4c269499439c08619e88b5cf6b421661f1648082 | [
"MIT"
] | null | null | null | svg/path/parser.py | judithfan/sketch-rnn | 4c269499439c08619e88b5cf6b421661f1648082 | [
"MIT"
] | 2 | 2019-10-08T07:06:43.000Z | 2020-02-20T20:22:30.000Z | # SVG Path specification parser
import re
from . import path
COMMANDS = set('MmZzLlHhVvCcSsQqTtAa')
UPPERCASE = set('MZLHVCSQTA')
COMMAND_RE = re.compile("([MmZzLlHhVvCcSsQqTtAa])")
FLOAT_RE = re.compile("[-+]?[0-9]*\.?[0-9]+(?:[eE][-+]?[0-9]+)?")
def _tokenize_path(pathdef):
for x in COMMAND_RE.split(pathdef)... | 36.188482 | 85 | 0.54702 |
import re
from . import path
COMMANDS = set('MmZzLlHhVvCcSsQqTtAa')
UPPERCASE = set('MZLHVCSQTA')
COMMAND_RE = re.compile("([MmZzLlHhVvCcSsQqTtAa])")
FLOAT_RE = re.compile("[-+]?[0-9]*\.?[0-9]+(?:[eE][-+]?[0-9]+)?")
def _tokenize_path(pathdef):
for x in COMMAND_RE.split(pathdef):
if x in COMMANDS:
... | false | true |
79041fba7b86fb54852e5aa1884db644c8730c8e | 1,622 | py | Python | ocp_resources/cdi_config.py | ibesso-rh/openshift-python-wrapper | 01aa3234fc6333868222736d8f42e27943edb47a | [
"Apache-2.0"
] | null | null | null | ocp_resources/cdi_config.py | ibesso-rh/openshift-python-wrapper | 01aa3234fc6333868222736d8f42e27943edb47a | [
"Apache-2.0"
] | null | null | null | ocp_resources/cdi_config.py | ibesso-rh/openshift-python-wrapper | 01aa3234fc6333868222736d8f42e27943edb47a | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
from ocp_resources.constants import PROTOCOL_ERROR_EXCEPTION_DICT
from ocp_resources.resource import TIMEOUT, Resource
from ocp_resources.utils import TimeoutSampler
LOGGER = logging.getLogger(__name__)
class CDIConfig(Resource):
"""
CDIConfig object.
"""
ap... | 27.965517 | 87 | 0.646732 |
import logging
from ocp_resources.constants import PROTOCOL_ERROR_EXCEPTION_DICT
from ocp_resources.resource import TIMEOUT, Resource
from ocp_resources.utils import TimeoutSampler
LOGGER = logging.getLogger(__name__)
class CDIConfig(Resource):
api_group = Resource.ApiGroup.CDI_KUBEVIRT_IO
@property
... | true | true |
790420a930db4cd3395ec455b590c58fd0be09a6 | 3,671 | py | Python | zerver/webhooks/groove/view.py | pranayshahxyz/zulip | 3da483487af79fde9dce2d21124dfa39b94936a5 | [
"Apache-2.0"
] | 1 | 2020-04-09T18:34:44.000Z | 2020-04-09T18:34:44.000Z | zerver/webhooks/groove/view.py | pranayshahxyz/zulip | 3da483487af79fde9dce2d21124dfa39b94936a5 | [
"Apache-2.0"
] | null | null | null | zerver/webhooks/groove/view.py | pranayshahxyz/zulip | 3da483487af79fde9dce2d21124dfa39b94936a5 | [
"Apache-2.0"
] | null | null | null | # Webhooks for external integrations.
from functools import partial
from typing import Any, Callable, Dict, Optional
from django.http import HttpRequest, HttpResponse
from zerver.decorator import api_key_only_webhook_view
from zerver.lib.request import REQ, has_request_variables
from zerver.lib.response import json_s... | 34.308411 | 99 | 0.701989 |
from functools import partial
from typing import Any, Callable, Dict, Optional
from django.http import HttpRequest, HttpResponse
from zerver.decorator import api_key_only_webhook_view
from zerver.lib.request import REQ, has_request_variables
from zerver.lib.response import json_success
from zerver.lib.webhooks.commo... | true | true |
7904212f78e6a7b14fd1665ba8a9cc49c99b21b7 | 637 | py | Python | scripts/release_helper/go.py | xolve/azure-sdk-for-python | 9f5baa19c392f77f811d936ee43450e4ea524002 | [
"MIT"
] | 1 | 2021-09-07T18:39:05.000Z | 2021-09-07T18:39:05.000Z | scripts/release_helper/go.py | xolve/azure-sdk-for-python | 9f5baa19c392f77f811d936ee43450e4ea524002 | [
"MIT"
] | null | null | null | scripts/release_helper/go.py | xolve/azure-sdk-for-python | 9f5baa19c392f77f811d936ee43450e4ea524002 | [
"MIT"
] | null | null | null | from common import IssueProcess, Common
from typing import Any, List
import os
# assignee dict which will be assigned to handle issues
_GO_OWNER = {'ArcturusZhang'}
# 'github assignee': 'token'
_ASSIGNEE_TOKEN_GO = {'ArcturusZhang': os.getenv('AZURESDK_BOT_TOKEN')}
class IssueProcessGo(IssueProcess):
pass
cla... | 25.48 | 72 | 0.744113 | from common import IssueProcess, Common
from typing import Any, List
import os
_GO_OWNER = {'ArcturusZhang'}
_ASSIGNEE_TOKEN_GO = {'ArcturusZhang': os.getenv('AZURESDK_BOT_TOKEN')}
class IssueProcessGo(IssueProcess):
pass
class Go(Common):
def __init__(self, issues, assignee_token, language_owner):
... | true | true |
790422285f2b34d6e4f52b2a3c5f165cfc5cd144 | 2,083 | py | Python | deep learning/test/test.py | ANI717/Self_Driving_CV_Repository | 27faa8ca86966838998056a42973de292bc380cb | [
"MIT"
] | 1 | 2021-12-20T03:53:59.000Z | 2021-12-20T03:53:59.000Z | deep learning/test/test.py | ANI717/Self_Driving_CV_Repository | 27faa8ca86966838998056a42973de292bc380cb | [
"MIT"
] | null | null | null | deep learning/test/test.py | ANI717/Self_Driving_CV_Repository | 27faa8ca86966838998056a42973de292bc380cb | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Script to Test Deep Learning Model.
Contains a pipeline to test a deep learning model.
Revision History:
2021-11-20 (ANI717 - Animesh Bala Ani): Baseline Software.
Example:
$ python3 test.py
"""
#___Import Modules:
import torch
from torch.utils.dat... | 28.148649 | 142 | 0.614498 |
import torch
from torch.utils.data import DataLoader
from tqdm import tqdm
import config
from model import NvidiaNet
from dataset import ANI717Dataset
def main():
dataset = ANI717Dataset(config.TEST_CSV, config.IMG_SOURCE, transforms=config.TEST_TRANSFORMS)
loader = DataLoader(dataset, batch... | true | true |
79042291a3a9fe72be66da8fcd766e1455ffd1e2 | 11,681 | py | Python | perf/benchmark/runner/runner.py | jwendell/tools | 992be29e272131f3b8129a03dac5347eb8f62a03 | [
"Apache-2.0"
] | null | null | null | perf/benchmark/runner/runner.py | jwendell/tools | 992be29e272131f3b8129a03dac5347eb8f62a03 | [
"Apache-2.0"
] | null | null | null | perf/benchmark/runner/runner.py | jwendell/tools | 992be29e272131f3b8129a03dac5347eb8f62a03 | [
"Apache-2.0"
] | null | null | null | # Copyright Istio 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 applicable law or agreed to in writing, soft... | 30.658793 | 99 | 0.583769 |
from __future__ import print_function
import collections
import os
import json
import argparse
import subprocess
import shlex
import uuid
from fortio import METRICS_START_SKIP_DURATION, METRICS_END_SKIP_DURATION
import sys
if sys.version_info.major == 2:
from commands import getoutput
else:
from... | true | true |
7904234621e721b43376c422781755f4a239d255 | 4,023 | py | Python | tests/integration/operators_test/boolean_test.py | gglin001/popart | 3225214343f6d98550b6620e809a3544e8bcbfc6 | [
"MIT"
] | 61 | 2020-07-06T17:11:46.000Z | 2022-03-12T14:42:51.000Z | tests/integration/operators_test/boolean_test.py | gglin001/popart | 3225214343f6d98550b6620e809a3544e8bcbfc6 | [
"MIT"
] | 1 | 2021-02-25T01:30:29.000Z | 2021-11-09T11:13:14.000Z | tests/integration/operators_test/boolean_test.py | gglin001/popart | 3225214343f6d98550b6620e809a3544e8bcbfc6 | [
"MIT"
] | 6 | 2020-07-15T12:33:13.000Z | 2021-11-07T06:55:00.000Z | # Copyright (c) 2019 Graphcore Ltd. All rights reserved.
import numpy as np
import popart
import torch
import pytest
from op_tester import op_tester
def test_and(op_tester):
d1 = (np.random.randn(2) > 0).astype(np.bool_)
d2 = (np.random.randn(2) > 0).astype(np.bool_)
def init_builder(builder):
i1... | 27 | 61 | 0.61745 |
import numpy as np
import popart
import torch
import pytest
from op_tester import op_tester
def test_and(op_tester):
d1 = (np.random.randn(2) > 0).astype(np.bool_)
d2 = (np.random.randn(2) > 0).astype(np.bool_)
def init_builder(builder):
i1 = builder.addInputTensor(d1)
i2 = builder.addIn... | true | true |
79042439b319a493991d940cde55d4e859f9cf39 | 8,113 | py | Python | pipekit/component.py | DrDub/pipekit | 87bd69ac2926085a27d72e9e5f19bd05038f178e | [
"MIT"
] | null | null | null | pipekit/component.py | DrDub/pipekit | 87bd69ac2926085a27d72e9e5f19bd05038f178e | [
"MIT"
] | null | null | null | pipekit/component.py | DrDub/pipekit | 87bd69ac2926085a27d72e9e5f19bd05038f178e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import asyncio
import logging
from collections import defaultdict
from functools import partial
from box import Box
_l = logging.getLogger(__name__)
_instances = dict()
_events = defaultdict(asyncio.Event)
_event_queues = list()
_event_callbacks = defaultdict(list)
class Component:
"""... | 33.524793 | 99 | 0.590903 |
import asyncio
import logging
from collections import defaultdict
from functools import partial
from box import Box
_l = logging.getLogger(__name__)
_instances = dict()
_events = defaultdict(asyncio.Event)
_event_queues = list()
_event_callbacks = defaultdict(list)
class Component:
def __init__(self, *args... | true | true |
790424670a7b4b7ed5c11bd34cd56db2fcf6b60b | 2,424 | py | Python | hatasmota/mqtt.py | effelle/hatasmota | ec34f2e9b635cc35ee67f0d048a32a057313da60 | [
"MIT"
] | null | null | null | hatasmota/mqtt.py | effelle/hatasmota | ec34f2e9b635cc35ee67f0d048a32a057313da60 | [
"MIT"
] | null | null | null | hatasmota/mqtt.py | effelle/hatasmota | ec34f2e9b635cc35ee67f0d048a32a057313da60 | [
"MIT"
] | null | null | null | """Tasmota MQTT."""
import asyncio
import logging
from typing import Union
import attr
from .const import COMMAND_BACKLOG
DEBOUNCE_TIMEOUT = 1
_LOGGER = logging.getLogger(__name__)
class Timer:
"""Simple timer."""
def __init__(self, timeout, callback):
self._timeout = timeout
self._callba... | 27.545455 | 80 | 0.64934 | import asyncio
import logging
from typing import Union
import attr
from .const import COMMAND_BACKLOG
DEBOUNCE_TIMEOUT = 1
_LOGGER = logging.getLogger(__name__)
class Timer:
def __init__(self, timeout, callback):
self._timeout = timeout
self._callback = callback
self._task = asyncio.e... | true | true |
7904253dcb398235ae696a22544c7fce9840d06c | 103,140 | py | Python | moto/s3/responses.py | nom3ad/moto | deeabfc6e5884bfe16631b3b020d29a1d558d31c | [
"Apache-2.0"
] | null | null | null | moto/s3/responses.py | nom3ad/moto | deeabfc6e5884bfe16631b3b020d29a1d558d31c | [
"Apache-2.0"
] | null | null | null | moto/s3/responses.py | nom3ad/moto | deeabfc6e5884bfe16631b3b020d29a1d558d31c | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
import io
import os
import re
import sys
from botocore.awsrequest import AWSPreparedRequest
from moto.core.utils import (
amzn_request_id,
str_to_rfc_1123_datetime,
py2_strip_unicode_keys,
)
from urllib.parse import (
parse_qs,
parse_qsl,
urlparse,
... | 38.059041 | 168 | 0.58727 | from __future__ import unicode_literals
import io
import os
import re
import sys
from botocore.awsrequest import AWSPreparedRequest
from moto.core.utils import (
amzn_request_id,
str_to_rfc_1123_datetime,
py2_strip_unicode_keys,
)
from urllib.parse import (
parse_qs,
parse_qsl,
urlparse,
... | true | true |
790425cdf51c12d5693923f4db37300a4be41df1 | 4,860 | py | Python | lib/datasets/osd_object.py | datboi223/UnseenObjectClustering | 32ec100e7c15478fba5e67509c7bff397e7c885e | [
"BSD-Source-Code"
] | null | null | null | lib/datasets/osd_object.py | datboi223/UnseenObjectClustering | 32ec100e7c15478fba5e67509c7bff397e7c885e | [
"BSD-Source-Code"
] | null | null | null | lib/datasets/osd_object.py | datboi223/UnseenObjectClustering | 32ec100e7c15478fba5e67509c7bff397e7c885e | [
"BSD-Source-Code"
] | null | null | null | # Copyright (c) 2020 NVIDIA Corporation. All rights reserved.
# This work is licensed under the NVIDIA Source Code License - Non-commercial. Full
# text can be found in LICENSE.md
import torch
import torch.utils.data as data
import os, math
import sys
import time
import random
import numpy as np
import cv2
import glob... | 36.268657 | 85 | 0.627984 |
import torch
import torch.utils.data as data
import os, math
import sys
import time
import random
import numpy as np
import cv2
import glob
import matplotlib.pyplot as plt
import datasets
import open3d as o3d
import pcl
from fcn.config import cfg
from utils.blob import chromatic_transform, add_noise
from utils imp... | true | true |
790425d501b4c4fb6f9c05b89b6c2559834faa07 | 1,895 | py | Python | components/nginx/scripts/retrieve_agents.py | AlexAdamenko/cloudify-openstack | 6b89af7b9da4c55dc91684bd1781115e71353e03 | [
"Apache-2.0"
] | null | null | null | components/nginx/scripts/retrieve_agents.py | AlexAdamenko/cloudify-openstack | 6b89af7b9da4c55dc91684bd1781115e71353e03 | [
"Apache-2.0"
] | null | null | null | components/nginx/scripts/retrieve_agents.py | AlexAdamenko/cloudify-openstack | 6b89af7b9da4c55dc91684bd1781115e71353e03 | [
"Apache-2.0"
] | null | null | null | #!/bin/python
import platform
import fabric.api
from fabric.contrib.files import exists as remote_exists
from cloudify import ctx
from cloudify.exceptions import NonRecoverableError
def _get_distro_info():
distro, _, release = platform.linux_distribution(
full_distribution_name=False)
return '{0} {... | 37.156863 | 78 | 0.643272 |
import platform
import fabric.api
from fabric.contrib.files import exists as remote_exists
from cloudify import ctx
from cloudify.exceptions import NonRecoverableError
def _get_distro_info():
distro, _, release = platform.linux_distribution(
full_distribution_name=False)
return '{0} {1}'.format(di... | true | true |
790426391fba57d10a1459d87543824a85e55517 | 22,145 | py | Python | src/models.py | rupshree1999/Brats2019 | 715274b4a407f8ca8fa11d2e3743c5ddb328e59a | [
"MIT"
] | 94 | 2019-08-30T02:50:30.000Z | 2022-03-04T07:56:20.000Z | src/models.py | rupshree1999/Brats2019 | 715274b4a407f8ca8fa11d2e3743c5ddb328e59a | [
"MIT"
] | 22 | 2019-11-05T06:36:37.000Z | 2022-02-10T00:47:22.000Z | src/models.py | rupshree1999/Brats2019 | 715274b4a407f8ca8fa11d2e3743c5ddb328e59a | [
"MIT"
] | 28 | 2019-10-08T02:32:35.000Z | 2021-12-14T04:10:32.000Z | import tensorflow as tf
import tensorflow.contrib.slim as slim
from tflearn.layers.conv import global_avg_pool
#######################
# 3d functions
#######################
# convolution
# 3D unet graph
def unet(inputI, output_channel):
"""3D U-net"""
phase_flag = 1
concat_dim = 4
conv1_1 = conv3d(
... | 34.819182 | 126 | 0.597065 | import tensorflow as tf
import tensorflow.contrib.slim as slim
from tflearn.layers.conv import global_avg_pool
conv1_relu')
pool1_in = tf.layers.max_pooling3d(
inputs=conv1_relu, pool_size=2, strides=2, name='pool1')
pool1 = pool1_in
conv2_1 = conv3d(
... | true | true |
79042649ef5f7122a4ceac473e6d6051996faa2e | 16,376 | py | Python | rls/utils/build_networks.py | yisuoyanyudmj/RLs-1 | a336b57e804507bca23cbadc3b5af1924c80d942 | [
"Apache-2.0"
] | 1 | 2021-01-11T18:37:57.000Z | 2021-01-11T18:37:57.000Z | rls/utils/build_networks.py | kiminh/RLs | a336b57e804507bca23cbadc3b5af1924c80d942 | [
"Apache-2.0"
] | null | null | null | rls/utils/build_networks.py | kiminh/RLs | a336b57e804507bca23cbadc3b5af1924c80d942 | [
"Apache-2.0"
] | null | null | null |
import numpy as np
import tensorflow as tf
from copy import deepcopy
from abc import ABC, abstractmethod
from tensorflow.keras import Model as M
from rls.utils.indexs import OutputNetworkType
from rls.nn.networks import get_visual_network_from_type
from rls.nn.models import get_output_network_from_type
... | 33.975104 | 97 | 0.578163 |
import numpy as np
import tensorflow as tf
from copy import deepcopy
from abc import ABC, abstractmethod
from tensorflow.keras import Model as M
from rls.utils.indexs import OutputNetworkType
from rls.nn.networks import get_visual_network_from_type
from rls.nn.models import get_output_network_from_type
... | true | true |
790426e1ad4f499c37e7bc3113074e4ba989eb0b | 241 | py | Python | app/twitter.py | janaSunrise/Spotify-Twitter-Banner | a3b5fc636ef4e79f3f96cc3dd5569eaff7d8a6c0 | [
"MIT"
] | 20 | 2021-12-21T17:46:33.000Z | 2022-01-22T15:23:24.000Z | app/twitter.py | janaSunrise/Spotify-Twitter-Banner | a3b5fc636ef4e79f3f96cc3dd5569eaff7d8a6c0 | [
"MIT"
] | null | null | null | app/twitter.py | janaSunrise/Spotify-Twitter-Banner | a3b5fc636ef4e79f3f96cc3dd5569eaff7d8a6c0 | [
"MIT"
] | null | null | null | import tweepy
from .config import Config
def update_twitter_banner(api: tweepy.API) -> None:
"""Update the twitter banner of the current profile using the image specified in config."""
api.update_profile_banner(Config.IMAGE_PATH)
| 26.777778 | 95 | 0.767635 | import tweepy
from .config import Config
def update_twitter_banner(api: tweepy.API) -> None:
api.update_profile_banner(Config.IMAGE_PATH)
| true | true |
790427216325f05e43c495a60f6c3850397bbf84 | 264 | py | Python | 2021/Day 7 - The Treachery of Whales/2.py | Ashwin-op/Advent_of_Code | 39937379c7cf1c728326af526a71fdd84706a2b8 | [
"MIT"
] | 2 | 2020-12-05T06:36:27.000Z | 2021-07-07T11:10:52.000Z | 2021/Day 7 - The Treachery of Whales/2.py | Ashwin-op/Advent_of_Code | 39937379c7cf1c728326af526a71fdd84706a2b8 | [
"MIT"
] | null | null | null | 2021/Day 7 - The Treachery of Whales/2.py | Ashwin-op/Advent_of_Code | 39937379c7cf1c728326af526a71fdd84706a2b8 | [
"MIT"
] | null | null | null | from statistics import mean
with open("input.txt") as f:
values = [int(i) for i in f.readline().split(",")]
m_values = int(mean(values))
print(min(
sum(sum(range(1, abs(pos - i) + 1)) for pos in values)
for i in range(m_values - 1, m_values + 1)
))
| 22 | 58 | 0.625 | from statistics import mean
with open("input.txt") as f:
values = [int(i) for i in f.readline().split(",")]
m_values = int(mean(values))
print(min(
sum(sum(range(1, abs(pos - i) + 1)) for pos in values)
for i in range(m_values - 1, m_values + 1)
))
| true | true |
7904272acf72176efbadbcd912cf75e5d8b57f85 | 10,900 | py | Python | statement_to_tree.py | iolucas/mathview | ca576f74dc3aab0c1397048f6972dc1a1a309b84 | [
"MIT"
] | 33 | 2016-09-23T15:05:24.000Z | 2021-08-30T11:13:35.000Z | statement_to_tree.py | iolucas/mathview | ca576f74dc3aab0c1397048f6972dc1a1a309b84 | [
"MIT"
] | 4 | 2016-12-14T03:41:55.000Z | 2020-05-27T20:27:55.000Z | statement_to_tree.py | iolucas/mathview | ca576f74dc3aab0c1397048f6972dc1a1a309b84 | [
"MIT"
] | 12 | 2016-08-20T10:40:21.000Z | 2022-01-03T09:47:01.000Z | # Given a statement, find the parse tree that led to it.
from tree_parser import *
import pickle #pickle.dump(database.proof_datas, open(output_file,'wb'))
from copy import deepcopy
from tree import *
#output_file = 'tree_parse_data'
# class InitialStringSearcher:
# def __init__(self):
# self.nodes = ... | 57.671958 | 2,466 | 0.503761 |
from tree_parser import *
import pickle
from copy import deepcopy
from tree import *
class InitialStringSearcher:
def __init__(self):
self.known_values = {}
def add(self,string,value):
self.known_values[tuple(string)]=value
def find_long... | true | true |
79042801dc2e48249347def16368667b9df5fd6d | 5,472 | py | Python | backend/Gifts/views.py | exarus/GiftRecommenderSystem | a1f0bb44f365c917cf4d870bc93cf172e4d2af52 | [
"Apache-2.0"
] | null | null | null | backend/Gifts/views.py | exarus/GiftRecommenderSystem | a1f0bb44f365c917cf4d870bc93cf172e4d2af52 | [
"Apache-2.0"
] | null | null | null | backend/Gifts/views.py | exarus/GiftRecommenderSystem | a1f0bb44f365c917cf4d870bc93cf172e4d2af52 | [
"Apache-2.0"
] | 1 | 2018-10-30T22:04:53.000Z | 2018-10-30T22:04:53.000Z | from django.shortcuts import render
# Create your views here.
from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
from django.http import JsonResponse
from Constants import *
from Gifts.getRecommendations.RS import Users, Recommendations
import json
# Create your views here.
def... | 39.085714 | 99 | 0.6197 | from django.shortcuts import render
from django.http import HttpResponse
from django.views.decorators.csrf import csrf_exempt
from django.http import JsonResponse
from Constants import *
from Gifts.getRecommendations.RS import Users, Recommendations
import json
def check_input(request, mandatory_fields, optional_f... | false | true |
7904281c09f285f9f58bfe640ba09dcc99178926 | 20,018 | py | Python | numpy_indexed/grouping.py | EelcoHoogendoorn/Numpy_arraysetops_EP | 84dc8114bf8a79c3acb3f7f59128247b9fc97243 | [
"MIT"
] | 170 | 2016-04-02T07:29:12.000Z | 2022-03-30T02:57:15.000Z | numpy_indexed/grouping.py | EelcoHoogendoorn/Numpy_arraysetops_EP | 84dc8114bf8a79c3acb3f7f59128247b9fc97243 | [
"MIT"
] | 13 | 2016-08-31T14:39:51.000Z | 2022-01-10T16:29:00.000Z | numpy_indexed/grouping.py | EelcoHoogendoorn/Numpy_arraysetops_EP | 84dc8114bf8a79c3acb3f7f59128247b9fc97243 | [
"MIT"
] | 19 | 2016-07-20T18:49:36.000Z | 2021-04-16T06:38:09.000Z | """grouping module"""
from __future__ import absolute_import, division, print_function, unicode_literals
from builtins import *
import itertools
import numpy as np
from numpy_indexed.index import as_index
import numpy_indexed as npi
__author__ = "Eelco Hoogendoorn"
__license__ = "LGPL"
__email__ = "hoogendoorn.eelco... | 32.655791 | 115 | 0.575082 | from __future__ import absolute_import, division, print_function, unicode_literals
from builtins import *
import itertools
import numpy as np
from numpy_indexed.index import as_index
import numpy_indexed as npi
__author__ = "Eelco Hoogendoorn"
__license__ = "LGPL"
__email__ = "hoogendoorn.eelco@gmail.com"
class Gr... | true | true |
7904289e1b1ebfa4e3bf17c3f23e97055297fb93 | 287 | py | Python | timezone_field/tests/models.py | ambitioninc/django-timezone-field | 52ac4903b89700474bee18a8728e91974f246faa | [
"BSD-2-Clause"
] | null | null | null | timezone_field/tests/models.py | ambitioninc/django-timezone-field | 52ac4903b89700474bee18a8728e91974f246faa | [
"BSD-2-Clause"
] | 1 | 2018-12-11T15:49:22.000Z | 2018-12-11T15:49:22.000Z | timezone_field/tests/models.py | ambitioninc/django-timezone-field | 52ac4903b89700474bee18a8728e91974f246faa | [
"BSD-2-Clause"
] | 2 | 2017-09-19T19:27:55.000Z | 2017-11-21T11:31:35.000Z | from __future__ import unicode_literals
from django.db import models
from timezone_field import TimeZoneField
class FakeModel(models.Model):
tz = TimeZoneField()
tz_opt = TimeZoneField(blank=True)
tz_opt_default = TimeZoneField(blank=True, default='America/Los_Angeles')
| 23.916667 | 77 | 0.787456 | from __future__ import unicode_literals
from django.db import models
from timezone_field import TimeZoneField
class FakeModel(models.Model):
tz = TimeZoneField()
tz_opt = TimeZoneField(blank=True)
tz_opt_default = TimeZoneField(blank=True, default='America/Los_Angeles')
| true | true |
79042977dfb8c5d49992dddc323d6c55b868b944 | 475 | py | Python | instagramHome/froms.py | Irene-nandy/Instagram | 0032cc40cef86f37b602907b319f6b6e49695e44 | [
"MIT"
] | null | null | null | instagramHome/froms.py | Irene-nandy/Instagram | 0032cc40cef86f37b602907b319f6b6e49695e44 | [
"MIT"
] | null | null | null | instagramHome/froms.py | Irene-nandy/Instagram | 0032cc40cef86f37b602907b319f6b6e49695e44 | [
"MIT"
] | null | null | null | from django import forms
class PostForm(forms.Form):
image = forms.ImageField()
image_name = forms.CharField(widget=forms.TextInput(attrs={"class": "form-control","placeholder": "Image Name"}))
image_caption = forms.CharField(widget=forms.Textarea(attrs={"class": "form-control","placeholder": "Image Captio... | 47.5 | 122 | 0.726316 | from django import forms
class PostForm(forms.Form):
image = forms.ImageField()
image_name = forms.CharField(widget=forms.TextInput(attrs={"class": "form-control","placeholder": "Image Name"}))
image_caption = forms.CharField(widget=forms.Textarea(attrs={"class": "form-control","placeholder": "Image Captio... | true | true |
790429bdadb16eceded5a4505fd1054e8b272e56 | 3,138 | py | Python | app/requests.py | ClarisseU/newsHighlight | 7e7cbc8ff6c6e512a6758359b4706a8a48093926 | [
"MIT"
] | null | null | null | app/requests.py | ClarisseU/newsHighlight | 7e7cbc8ff6c6e512a6758359b4706a8a48093926 | [
"MIT"
] | null | null | null | app/requests.py | ClarisseU/newsHighlight | 7e7cbc8ff6c6e512a6758359b4706a8a48093926 | [
"MIT"
] | null | null | null | import urllib.request,json
from .models import Sources, Articles
from datetime import datetime
#Getting api key
api_key = None
#Getting the news base url
# NEWS_API_KEY = None
# NEWS_API_BASE_URL = None
ARTICLE = None
def configure_request(app):
global api_key,NEWS_API_BASE_URL,NEWS_API_KEY,ARTICLE
api_key = ... | 30.466019 | 79 | 0.658062 | import urllib.request,json
from .models import Sources, Articles
from datetime import datetime
api_key = None
ARTICLE = None
def configure_request(app):
global api_key,NEWS_API_BASE_URL,NEWS_API_KEY,ARTICLE
api_key = app.config['NEWS_API_KEY']
ARTICLE = app.config['ARTICLE']
NEWS_API_BASE_URL = ap... | true | true |
790429ce7a101861daf7bce45c1b77c76fd27d8c | 130 | py | Python | release/scripts/presets/tracking_track_color/near_plane.py | rbabari/blender | 6daa85f14b2974abfc3d0f654c5547f487bb3b74 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 365 | 2015-02-10T15:10:55.000Z | 2022-03-03T15:50:51.000Z | release/scripts/presets/tracking_track_color/near_plane.py | rbabari/blender | 6daa85f14b2974abfc3d0f654c5547f487bb3b74 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 45 | 2015-01-09T15:34:20.000Z | 2021-10-05T14:44:23.000Z | release/scripts/presets/tracking_track_color/near_plane.py | rbabari/blender | 6daa85f14b2974abfc3d0f654c5547f487bb3b74 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 172 | 2015-01-25T15:16:53.000Z | 2022-01-31T08:25:36.000Z | import bpy
track = bpy.context.edit_movieclip.tracking.tracks.active
track.color = (0.0, 1.0, 0.0)
track.use_custom_color = True
| 21.666667 | 57 | 0.761538 | import bpy
track = bpy.context.edit_movieclip.tracking.tracks.active
track.color = (0.0, 1.0, 0.0)
track.use_custom_color = True
| true | true |
79042b5b717aed371620bf2d3fd531e504b78b37 | 940 | py | Python | PythonScripting/CSVFiles/examples3_csvmodule.py | Neo-sunny/pythonProgs | a9d2359d8a09d005d0ba6f94d7d256bf91499793 | [
"MIT"
] | 622 | 2018-07-17T09:05:41.000Z | 2022-03-29T02:57:02.000Z | Rice-Python-Data-Analysis/week3/examples3_csvmodule.py | thientvse/Courses- | 263ff4680ed1dfd253be3652f7f13ad707af1a36 | [
"Apache-2.0"
] | 21 | 2019-11-10T02:06:09.000Z | 2022-01-22T23:54:11.000Z | Rice-Python-Data-Analysis/week3/examples3_csvmodule.py | thientvse/Courses- | 263ff4680ed1dfd253be3652f7f13ad707af1a36 | [
"Apache-2.0"
] | 906 | 2018-07-17T09:05:43.000Z | 2022-03-31T12:55:49.000Z | """
Using the csv module.
"""
import csv
def parse(csvfilename):
"""
Reads CSV file named csvfilename, parses
it's content and returns the data within
the file as a list of lists.
"""
table = []
with open(csvfilename, "r") as csvfile:
csvreader = csv.reader(csvfile,
... | 21.860465 | 53 | 0.578723 |
import csv
def parse(csvfilename):
table = []
with open(csvfilename, "r") as csvfile:
csvreader = csv.reader(csvfile,
skipinitialspace=True)
for row in csvreader:
table.append(row)
return table
def print_table(table):
for row in table:
... | true | true |
79042b5fa45293fe7b76a7e810523136746912f9 | 3,028 | py | Python | doc/extensions/empy_helpers/__init__.py | SirArep/ecal | 9860efeb4ce0ef168630136d33947da02ecf0490 | [
"Apache-2.0"
] | 493 | 2019-06-03T13:30:46.000Z | 2022-03-26T16:18:57.000Z | doc/extensions/empy_helpers/__init__.py | SirArep/ecal | 9860efeb4ce0ef168630136d33947da02ecf0490 | [
"Apache-2.0"
] | 249 | 2019-06-04T09:01:24.000Z | 2022-03-31T23:37:39.000Z | doc/extensions/empy_helpers/__init__.py | SirArep/ecal | 9860efeb4ce0ef168630136d33947da02ecf0490 | [
"Apache-2.0"
] | 114 | 2019-06-05T00:04:25.000Z | 2022-03-22T10:22:04.000Z | # Copyright 2018 Open Source Robotics Foundation, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 32.55914 | 95 | 0.679326 |
from io import StringIO
import os
import sys
import em
def expand_template(template_name, data, output_file, encoding='utf-8'):
content = evaluate_template(template_name, data)
if output_file.exists():
existing_content = output_file.read_text(encoding=encoding)
if existing_... | true | true |
79042c25cc0b73c482b1669a91d9d0f5c9949028 | 775 | py | Python | setup.py | jinnovation/metaflow | 540f21133b08108f7129ce42b1c6a24fd9175b2f | [
"Apache-2.0"
] | null | null | null | setup.py | jinnovation/metaflow | 540f21133b08108f7129ce42b1c6a24fd9175b2f | [
"Apache-2.0"
] | null | null | null | setup.py | jinnovation/metaflow | 540f21133b08108f7129ce42b1c6a24fd9175b2f | [
"Apache-2.0"
] | null | null | null | from setuptools import setup, find_packages
version = "2.5.4"
setup(
include_package_data=True,
name="metaflow",
version=version,
description="Metaflow: More Data Science, Less Engineering",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
author="M... | 25.833333 | 64 | 0.645161 | from setuptools import setup, find_packages
version = "2.5.4"
setup(
include_package_data=True,
name="metaflow",
version=version,
description="Metaflow: More Data Science, Less Engineering",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
author="M... | true | true |
79042e003a80fc0d1ea08474e610faa627656872 | 7,294 | py | Python | myvenv/lib/python3.5/site-packages/babel/messages/mofile.py | tuvapp/tuvappcom | 5ca2be19f4b0c86a1d4a9553711a4da9d3f32841 | [
"MIT"
] | 5,079 | 2015-01-01T03:39:46.000Z | 2022-03-31T07:38:22.000Z | desktop/core/ext-py/Babel-2.5.1/babel/messages/mofile.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 1,623 | 2015-01-01T08:06:24.000Z | 2022-03-30T19:48:52.000Z | desktop/core/ext-py/Babel-2.5.1/babel/messages/mofile.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 2,033 | 2015-01-04T07:18:02.000Z | 2022-03-28T19:55:47.000Z | # -*- coding: utf-8 -*-
"""
babel.messages.mofile
~~~~~~~~~~~~~~~~~~~~~
Writing of files in the ``gettext`` MO (machine object) format.
:copyright: (c) 2013 by the Babel Team.
:license: BSD, see LICENSE for more details.
"""
import array
import struct
from babel.messages.catalog import Catalog, ... | 34.084112 | 89 | 0.541815 |
import array
import struct
from babel.messages.catalog import Catalog, Message
from babel._compat import range_type, array_tobytes
LE_MAGIC = 0x950412de
BE_MAGIC = 0xde120495
def read_mo(fileobj):
catalog = Catalog()
headers = {}
filename = getattr(fileobj, 'name', '')
buf = fileobj.read()
... | true | true |
79042e70f30245770d9db6b182ee23c020d301ec | 7,960 | py | Python | utils/lib_classifier.py | eddylamhw/trAIner24 | ac7cf1b95a2ecdfc44d11451984b016524ed7657 | [
"MIT"
] | 1 | 2021-11-25T16:32:51.000Z | 2021-11-25T16:32:51.000Z | utils/lib_classifier.py | eddylamhw/trAIner24 | ac7cf1b95a2ecdfc44d11451984b016524ed7657 | [
"MIT"
] | null | null | null | utils/lib_classifier.py | eddylamhw/trAIner24 | ac7cf1b95a2ecdfc44d11451984b016524ed7657 | [
"MIT"
] | null | null | null | '''
This script includes:
1. ClassifierOfflineTrain
This is for offline training. The input data are the processed features.
2. class ClassifierOnlineTest(object)
This is for online testing. The input data are the raw skeletons.
It uses FeatureGenerator to extract features,
and then use ClassifierOffli... | 35.855856 | 97 | 0.629899 |
import numpy as np
import sys
import os
import pickle
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from collections import deque
import cv2
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.datasets import make_moons, mak... | true | true |
79042f677f4accd9f4c0858e4c01d2f06341605e | 1,359 | py | Python | neural_compressor/ux/web/service/optimization.py | intel/neural-compressor | 16a4a12045fcb468da4d33769aff2c1a5e2ba6ba | [
"Apache-2.0"
] | 172 | 2021-09-14T18:34:17.000Z | 2022-03-30T06:49:53.000Z | neural_compressor/ux/web/service/optimization.py | intel/lp-opt-tool | 130eefa3586b38df6c0ff78cc8807ae273f6a63f | [
"Apache-2.0"
] | 40 | 2021-09-14T02:26:12.000Z | 2022-03-29T08:34:04.000Z | neural_compressor/ux/web/service/optimization.py | intel/neural-compressor | 16a4a12045fcb468da4d33769aff2c1a5e2ba6ba | [
"Apache-2.0"
] | 33 | 2021-09-15T07:27:25.000Z | 2022-03-25T08:30:57.000Z | # -*- coding: utf-8 -*-
# Copyright (c) 2022 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 38.828571 | 93 | 0.740986 |
from neural_compressor.ux.components.db_manager.db_operations import OptimizationAPIInterface
from neural_compressor.ux.web.service.request_data_processor import RequestDataProcessor
from neural_compressor.ux.web.service.workload import WorkloadService
class OptimizationService(WorkloadService):
@... | true | true |
79043116cb4ef86e78c4d61d4d638ab85ee33161 | 19,551 | py | Python | lib/dataset/pascal_voc.py | alphadadajuju/Deep-Feature-Flow-mod | 1df87d923c50722f508897710f32974b8a0c510f | [
"MIT"
] | null | null | null | lib/dataset/pascal_voc.py | alphadadajuju/Deep-Feature-Flow-mod | 1df87d923c50722f508897710f32974b8a0c510f | [
"MIT"
] | null | null | null | lib/dataset/pascal_voc.py | alphadadajuju/Deep-Feature-Flow-mod | 1df87d923c50722f508897710f32974b8a0c510f | [
"MIT"
] | null | null | null | # --------------------------------------------------------
# Deformable Convolutional Networks
# Copyright (c) 2017 Microsoft
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Modified by Haozhi Qi, from py-faster-rcnn (https://github.com/rbgirshick/py-faster-rcnn)
# ----------------------------------... | 42.781182 | 119 | 0.591428 |
"""
Pascal VOC database
This class loads ground truth notations from standard Pascal VOC XML data formats
and transform them into IMDB format. Selective search is used for proposals, see roidb
function. Results are written as the Pascal VOC format. Evaluation is based on mAP
criterion.
"""
import cPickle
import... | false | true |
790432f1781660ece2b74af0b67f2530d8e41341 | 7,150 | py | Python | display/epd4in2b.py | Richard-Kirby/sema_clock | f192c8724ede8eb7f0330e295655c21367451cbc | [
"MIT"
] | null | null | null | display/epd4in2b.py | Richard-Kirby/sema_clock | f192c8724ede8eb7f0330e295655c21367451cbc | [
"MIT"
] | null | null | null | display/epd4in2b.py | Richard-Kirby/sema_clock | f192c8724ede8eb7f0330e295655c21367451cbc | [
"MIT"
] | null | null | null | ##
# @filename : epd4in2b.py
# @brief : Implements for Dual-color e-paper library
# @author : Yehui from Waveshare
#
# Copyright (C) Waveshare August 15 2017
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documn... | 35.75 | 81 | 0.543357 |
from . import epdif
from PIL import Image
import RPi.GPIO as GPIO
EPD_WIDTH = 400
EPD_HEIGHT = 300
PANEL_SETTING = 0x00
POWER_SETTING = 0x01
POWER_OFF = ... | true | true |
7904347fd1cde67ceb16182e873d46ccf0f507bd | 7,568 | py | Python | pylib/Tools/Executor/combinatorial.py | emallove/mtt | 7ea3046ada6d7cc3db7129c4644acad854101adc | [
"BSD-3-Clause-Open-MPI"
] | null | null | null | pylib/Tools/Executor/combinatorial.py | emallove/mtt | 7ea3046ada6d7cc3db7129c4644acad854101adc | [
"BSD-3-Clause-Open-MPI"
] | null | null | null | pylib/Tools/Executor/combinatorial.py | emallove/mtt | 7ea3046ada6d7cc3db7129c4644acad854101adc | [
"BSD-3-Clause-Open-MPI"
] | null | null | null | # -*- coding: utf-8; tab-width: 4; indent-tabs-mode: f; python-indent: 4 -*-
#
# Copyright (c) 2015-2018 Intel, Inc. All rights reserved.
# $COPYRIGHT$
#
# Additional copyrights may follow
#
# $HEADER$
#
from __future__ import print_function
from future import standard_library
standard_library.install_aliases()
import... | 39.010309 | 90 | 0.556818 |
from __future__ import print_function
from future import standard_library
standard_library.install_aliases()
import os
import sys
import configparser
import importlib
import logging
import imp
import datetime
import tempfile
import shutil
from yapsy.PluginManager import PluginManager
from ExecutorMTTTool imp... | true | true |
7904350e03509818825fefc1f297fd144a1fef4c | 14,232 | py | Python | pyfr/writers/paraview.py | tjcorona/PyFR | a72b41580043bb001e5a9e6bb79a0e305d48e052 | [
"BSD-3-Clause"
] | null | null | null | pyfr/writers/paraview.py | tjcorona/PyFR | a72b41580043bb001e5a9e6bb79a0e305d48e052 | [
"BSD-3-Clause"
] | null | null | null | pyfr/writers/paraview.py | tjcorona/PyFR | a72b41580043bb001e5a9e6bb79a0e305d48e052 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Converts .pyfr[m, s] files to a Paraview VTK UnstructuredGrid File"""
from collections import defaultdict
import os
import numpy as np
from pyfr.shapes import BaseShape
from pyfr.util import subclass_where
from pyfr.writers import BaseWriter
class ParaviewWriter(BaseWriter):
# Suppo... | 31.074236 | 77 | 0.531057 |
from collections import defaultdict
import os
import numpy as np
from pyfr.shapes import BaseShape
from pyfr.util import subclass_where
from pyfr.writers import BaseWriter
class ParaviewWriter(BaseWriter):
name = 'paraview'
extn = ['.vtu', '.pvtu']
def __init__(self, args):
super().__in... | true | true |
79043595da46f5ce5100fad9af56dcdd58be848e | 1,201 | py | Python | kloppy/domain/services/matchers/css.py | pratikthanki/kloppy | ab3293e03f958720489cd2d9e25a1c9f12b9970c | [
"BSD-3-Clause"
] | null | null | null | kloppy/domain/services/matchers/css.py | pratikthanki/kloppy | ab3293e03f958720489cd2d9e25a1c9f12b9970c | [
"BSD-3-Clause"
] | null | null | null | kloppy/domain/services/matchers/css.py | pratikthanki/kloppy | ab3293e03f958720489cd2d9e25a1c9f12b9970c | [
"BSD-3-Clause"
] | null | null | null | from typing import List
from lxml import etree
from cssselect import GenericTranslator
from kloppy.domain import Event, EventType
class CSSPatternMatcher:
def __init__(self, pattern: str):
self.expression = GenericTranslator().css_to_xpath([pattern])
def match(self, events: List[Event]) -> List[Lis... | 32.459459 | 69 | 0.507077 | from typing import List
from lxml import etree
from cssselect import GenericTranslator
from kloppy.domain import Event, EventType
class CSSPatternMatcher:
def __init__(self, pattern: str):
self.expression = GenericTranslator().css_to_xpath([pattern])
def match(self, events: List[Event]) -> List[Lis... | true | true |
790435fca9254c818a01c7cdb5c270570d0a54d7 | 4,060 | py | Python | rdfdatabank/lib/data_sync.py | dataflow/RDFDatabank | 8a3abd28fefc62cbbfb9f77e7ddc920e23794f34 | [
"MIT"
] | 4 | 2016-01-10T09:05:22.000Z | 2019-09-09T09:57:25.000Z | rdfdatabank/lib/data_sync.py | dataflow/RDFDatabank | 8a3abd28fefc62cbbfb9f77e7ddc920e23794f34 | [
"MIT"
] | null | null | null | rdfdatabank/lib/data_sync.py | dataflow/RDFDatabank | 8a3abd28fefc62cbbfb9f77e7ddc920e23794f34 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Copyright (c) 2012 University of Oxford
Permission is hereby granted, free of charge, to any person obtaining
a copy of this software and associated documentation files (the
"Software"), to deal in the Software without restriction, including
without limitation the rights to use, copy, modif... | 39.803922 | 114 | 0.652956 |
from rdfdatabank.lib.auth_entry import list_silos, list_usernames, list_group_usernames, add_silo, add_group_users
def sync_members(g):
g.state.revert()
g._register_silos()
granary_list = g.silos
granary_list_database = list_silos()
usernames = list_usernames()
for silo in gra... | true | true |
790436659fc09d186eb38514c3add1c093b11f80 | 6,712 | py | Python | Titanic/analysis/colab_titanic_main.py | couyang24/general_learning-tiffany | fa358e6f3b14386519295a8959ad02512f92fb95 | [
"Apache-2.0"
] | null | null | null | Titanic/analysis/colab_titanic_main.py | couyang24/general_learning-tiffany | fa358e6f3b14386519295a8959ad02512f92fb95 | [
"Apache-2.0"
] | 27 | 2020-07-19T16:14:40.000Z | 2021-09-19T01:24:42.000Z | Titanic/analysis/colab_titanic_main.py | couyang24/general_learning-tiffany | fa358e6f3b14386519295a8959ad02512f92fb95 | [
"Apache-2.0"
] | 2 | 2020-05-16T18:47:05.000Z | 2020-10-15T10:58:42.000Z | # <a href="https://colab.research.google.com/github/couyang24/general_learning-tiffany/blob/master/Titanic/analysis/colab_titanic_main.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
# Need to mount Drive on or upload kaggle.json
from google.colab ... | 26.425197 | 252 | 0.674762 |
from google.colab import drive
drive.mount("/content/drive")
import pandas as pd
import seaborn as sns
import featuretools
import featuretools as ft
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.impute import SimpleImputer, MissingIndicator
from sklearn.pipeline import Pipeline, ... | true | true |
7904366ac66d89a10ab08531845b2896ead95da9 | 1,012 | py | Python | setup.py | tropicbliss/MCsniperPY | ad0337fb10f90e18b5a648a150c2179d12048522 | [
"MIT"
] | null | null | null | setup.py | tropicbliss/MCsniperPY | ad0337fb10f90e18b5a648a150c2179d12048522 | [
"MIT"
] | null | null | null | setup.py | tropicbliss/MCsniperPY | ad0337fb10f90e18b5a648a150c2179d12048522 | [
"MIT"
] | null | null | null | import pathlib
from setuptools import setup
here = pathlib.Path(__file__).parent.resolve()
# Get the long description from the README file
long_description = (here / "README.md").read_text(encoding="utf-8")
setup(
name="MCsniperPY",
version="0.20.6",
description="Minecraft name sniper writte... | 33.733333 | 75 | 0.652174 | import pathlib
from setuptools import setup
here = pathlib.Path(__file__).parent.resolve()
long_description = (here / "README.md").read_text(encoding="utf-8")
setup(
name="MCsniperPY",
version="0.20.6",
description="Minecraft name sniper written in Python",
long_description=long_descrip... | true | true |
790436c2a2e54b1015bb3b69c4a62b273aa3398b | 412 | py | Python | app/forms.py | justinvasel/justinvasel.com | a0765e5d4d6505fa1e02aa7b73e8039cf19ba646 | [
"MIT"
] | null | null | null | app/forms.py | justinvasel/justinvasel.com | a0765e5d4d6505fa1e02aa7b73e8039cf19ba646 | [
"MIT"
] | 2 | 2018-04-10T11:39:49.000Z | 2020-09-26T05:35:17.000Z | app/forms.py | justinvasel/justinvasel.com | a0765e5d4d6505fa1e02aa7b73e8039cf19ba646 | [
"MIT"
] | null | null | null | from app import models
from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, BooleanField, SubmitField
from wtforms.validators import ValidationError, DataRequired, Email, EqualTo
class LoginForm(FlaskForm):
username = StringField('Username', validators=[DataRequired()])
password = P... | 37.454545 | 76 | 0.783981 | from app import models
from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, BooleanField, SubmitField
from wtforms.validators import ValidationError, DataRequired, Email, EqualTo
class LoginForm(FlaskForm):
username = StringField('Username', validators=[DataRequired()])
password = P... | true | true |
79043723c9cd53c11f21fb7b99efb9992d23ccde | 109 | py | Python | home/__init__.py | abkraynak/smart-home | 26439a322ee75811731da413c8e80d8fb89ab876 | [
"MIT"
] | null | null | null | home/__init__.py | abkraynak/smart-home | 26439a322ee75811731da413c8e80d8fb89ab876 | [
"MIT"
] | null | null | null | home/__init__.py | abkraynak/smart-home | 26439a322ee75811731da413c8e80d8fb89ab876 | [
"MIT"
] | null | null | null | # __init.py
from .home import Home
from .alarm import Alarm
from .light import Light
from .lock import Lock | 18.166667 | 24 | 0.770642 |
from .home import Home
from .alarm import Alarm
from .light import Light
from .lock import Lock | true | true |
790437a75eefe189e227cc30e0488b2cdd89e4e9 | 1,928 | py | Python | redis_metrics/management/commands/generate_test_metrics.py | bradmontgomery/django-redis-metrics | b1466b5742f3f1e3aac4264cb8b73e25e765e972 | [
"MIT"
] | 52 | 2015-01-03T19:40:50.000Z | 2022-01-23T14:08:43.000Z | redis_metrics/management/commands/generate_test_metrics.py | bradmontgomery/django-redis-metrics | b1466b5742f3f1e3aac4264cb8b73e25e765e972 | [
"MIT"
] | 31 | 2015-01-05T10:28:50.000Z | 2020-03-30T15:42:35.000Z | redis_metrics/management/commands/generate_test_metrics.py | bradmontgomery/django-redis-metrics | b1466b5742f3f1e3aac4264cb8b73e25e765e972 | [
"MIT"
] | 11 | 2015-03-07T12:15:53.000Z | 2019-11-03T15:31:59.000Z | from __future__ import unicode_literals
from django.core.management.base import BaseCommand, CommandError
from optparse import make_option
from redis_metrics.utils import generate_test_metrics
class Command(BaseCommand):
args = '<metric-name> [<metric-name> ...]'
help = "Creates Lots of Dummy Metrics"
opt... | 31.096774 | 79 | 0.544606 | from __future__ import unicode_literals
from django.core.management.base import BaseCommand, CommandError
from optparse import make_option
from redis_metrics.utils import generate_test_metrics
class Command(BaseCommand):
args = '<metric-name> [<metric-name> ...]'
help = "Creates Lots of Dummy Metrics"
opt... | true | true |
79043bdca4d5df85a74771eeed3b7d0eff306609 | 336 | gyp | Python | binding.gyp | chipsalliance/tree-sitter-firrtl | e17cc559154f1f43daad00651781107f32a9d9f4 | [
"Apache-2.0"
] | 5 | 2020-01-25T03:46:46.000Z | 2021-11-14T17:13:35.000Z | binding.gyp | chipsalliance/tree-sitter-firrtl | e17cc559154f1f43daad00651781107f32a9d9f4 | [
"Apache-2.0"
] | 2 | 2020-05-09T17:08:58.000Z | 2021-04-30T16:50:56.000Z | binding.gyp | chipsalliance/tree-sitter-firrtl | e17cc559154f1f43daad00651781107f32a9d9f4 | [
"Apache-2.0"
] | 3 | 2021-05-17T03:12:45.000Z | 2022-01-30T09:18:55.000Z | {
"targets": [
{
"target_name": "tree_sitter_firrtl_binding",
"include_dirs": [
"<!(node -e \"require('nan')\")",
"src"
],
"sources": [
"src/parser.c",
"bindings/node/binding.cc",
"src/scanner.cc"
],
"cflags_c": [
"-std=c99",
... | 16.8 | 50 | 0.410714 | {
"targets": [
{
"target_name": "tree_sitter_firrtl_binding",
"include_dirs": [
"<!(node -e \"require('nan')\")",
"src"
],
"sources": [
"src/parser.c",
"bindings/node/binding.cc",
"src/scanner.cc"
],
"cflags_c": [
"-std=c99",
... | true | true |
79043c031d2adb4623ba80798ec83e7fb544c24a | 983 | py | Python | server.py | Mogekoff/nachess | 87027279b804c925ea3051cf8dd5f1b3709b1e7b | [
"MIT"
] | null | null | null | server.py | Mogekoff/nachess | 87027279b804c925ea3051cf8dd5f1b3709b1e7b | [
"MIT"
] | null | null | null | server.py | Mogekoff/nachess | 87027279b804c925ea3051cf8dd5f1b3709b1e7b | [
"MIT"
] | null | null | null | import socket
import sys
from config import ip, port
net = 0
sock = None
try:
if sys.argv[1] == '--connect':
sock = socket.socket()
try:
sock.connect((sys.argv[2], int(sys.argv[3])))
print('Подключение к игре установлено.')
except:
print(f'Неудалось подкл... | 31.709677 | 89 | 0.563581 | import socket
import sys
from config import ip, port
net = 0
sock = None
try:
if sys.argv[1] == '--connect':
sock = socket.socket()
try:
sock.connect((sys.argv[2], int(sys.argv[3])))
print('Подключение к игре установлено.')
except:
print(f'Неудалось подкл... | true | true |
79043c4a2b502fc7c643b0638228e702db778599 | 2,611 | py | Python | neuro-cli/tests/unit/formatters/test_blob_formatters.py | neuro-inc/platform-client-python | 012e355249ea900b76f9ce4209fb9d029652f9b2 | [
"Apache-2.0"
] | 11 | 2020-10-11T15:38:11.000Z | 2021-11-09T11:29:50.000Z | neuro-cli/tests/unit/formatters/test_blob_formatters.py | neuro-inc/platform-client-python | 012e355249ea900b76f9ce4209fb9d029652f9b2 | [
"Apache-2.0"
] | 611 | 2020-09-30T21:27:52.000Z | 2022-01-10T10:44:44.000Z | neuro-cli/tests/unit/formatters/test_blob_formatters.py | neuro-inc/platform-client-python | 012e355249ea900b76f9ce4209fb9d029652f9b2 | [
"Apache-2.0"
] | 1 | 2020-10-05T15:10:24.000Z | 2020-10-05T15:10:24.000Z | from datetime import datetime
from typing import Any, List, Union
import pytest
from neuro_sdk import BlobCommonPrefix, BlobObject, Bucket, BucketEntry
from neuro_cli.formatters.blob_storage import (
BaseBlobFormatter,
LongBlobFormatter,
SimpleBlobFormatter,
)
class TestBlobFormatter:
buckets: Lis... | 29.011111 | 87 | 0.542704 | from datetime import datetime
from typing import Any, List, Union
import pytest
from neuro_sdk import BlobCommonPrefix, BlobObject, Bucket, BucketEntry
from neuro_cli.formatters.blob_storage import (
BaseBlobFormatter,
LongBlobFormatter,
SimpleBlobFormatter,
)
class TestBlobFormatter:
buckets: Lis... | true | true |
79043cf41aa29b5fb39b3b7e7cd4edd485a95348 | 8,812 | py | Python | custom_components/xiaomi_gateway3/__init__.py | avbor/HomeAssistantConf | 1f0fe16c8e3f3dcea7cc350f3fb9c233b6a22614 | [
"Unlicense"
] | 35 | 2021-02-25T06:30:42.000Z | 2022-03-09T20:18:47.000Z | custom_components/xiaomi_gateway3/__init__.py | avbor/HomeAssistantConf | 1f0fe16c8e3f3dcea7cc350f3fb9c233b6a22614 | [
"Unlicense"
] | 33 | 2021-11-22T16:30:43.000Z | 2022-03-29T18:00:13.000Z | custom_components/xiaomi_gateway3/__init__.py | avbor/HomeAssistantConf | 1f0fe16c8e3f3dcea7cc350f3fb9c233b6a22614 | [
"Unlicense"
] | 19 | 2021-02-20T05:29:58.000Z | 2022-02-05T16:22:30.000Z | import asyncio
import logging
import voluptuous as vol
from homeassistant.components.system_log import CONF_LOGGER
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import EVENT_HOMEASSISTANT_STOP
from homeassistant.core import HomeAssistant, Event
from homeassistant.helpers import config_v... | 32.758364 | 79 | 0.661825 | import asyncio
import logging
import voluptuous as vol
from homeassistant.components.system_log import CONF_LOGGER
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import EVENT_HOMEASSISTANT_STOP
from homeassistant.core import HomeAssistant, Event
from homeassistant.helpers import config_v... | true | true |
79043d51417e1308f8af8a56c70ca9301d337d11 | 6,319 | py | Python | mstress_plan.py | maismail/qfs-mstress | 8e65b1e77b2cce6a875658a634ae217592142dab | [
"Apache-2.0"
] | 1 | 2017-08-21T10:57:34.000Z | 2017-08-21T10:57:34.000Z | mstress_plan.py | maismail/qfs-mstress | 8e65b1e77b2cce6a875658a634ae217592142dab | [
"Apache-2.0"
] | null | null | null | mstress_plan.py | maismail/qfs-mstress | 8e65b1e77b2cce6a875658a634ae217592142dab | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# $Id$
#
# Author: Thilee Subramaniam
#
# Copyright 2012 Quantcast Corp.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy
# of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
... | 37.170588 | 115 | 0.627947 |
import optparse
import sys
import subprocess
import time
import os
import math
import getpass
"""
This program is used to create the directory/file layout to be used
in metaserver/namenode stress test.
You basically specify the depth of the directory tree and the number
of elements (files or di... | false | true |
79043ec4bdb5af351b26174d623180bca22dd415 | 3,151 | py | Python | models/BiLSTM.py | ahmedtolan23/NER-with-bilstm-CRF-CNN | 29db9f2e357fc4112f9b5752f8ec604e4b9a04b0 | [
"Apache-2.0"
] | 4 | 2019-11-07T08:03:22.000Z | 2020-07-22T07:15:44.000Z | models/BiLSTM.py | ahmedtolan23/NER-with-bilstm-CRF-CNN | 29db9f2e357fc4112f9b5752f8ec604e4b9a04b0 | [
"Apache-2.0"
] | null | null | null | models/BiLSTM.py | ahmedtolan23/NER-with-bilstm-CRF-CNN | 29db9f2e357fc4112f9b5752f8ec604e4b9a04b0 | [
"Apache-2.0"
] | 1 | 2019-09-11T19:54:37.000Z | 2019-09-11T19:54:37.000Z | """
FILE : BiLSTM.py
FUNCTION : None
"""
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
import random
from DataUtils.Common import *
from models.initialize import *
from models.modelHelp import prepare_pack_padded_seq... | 30.892157 | 121 | 0.623294 |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
import random
from DataUtils.Common import *
from models.initialize import *
from models.modelHelp import prepare_pack_padded_sequence
torch.manual_seed(seed_num)
random.seed(seed... | true | true |
790442b0c52017836428ec0e97f3379e298f3e64 | 10,389 | py | Python | src/_pytest/compat.py | robholt/pytest | 307652202c7fa83369f5abfd822a408d4cc32d14 | [
"MIT"
] | null | null | null | src/_pytest/compat.py | robholt/pytest | 307652202c7fa83369f5abfd822a408d4cc32d14 | [
"MIT"
] | null | null | null | src/_pytest/compat.py | robholt/pytest | 307652202c7fa83369f5abfd822a408d4cc32d14 | [
"MIT"
] | null | null | null | """
python version compatibility code
"""
import functools
import inspect
import io
import re
import sys
from contextlib import contextmanager
from inspect import Parameter
from inspect import signature
import attr
import py
import _pytest
from _pytest._io.saferepr import saferepr
from _pytest.outcomes import fail
fr... | 29.682857 | 106 | 0.677544 | import functools
import inspect
import io
import re
import sys
from contextlib import contextmanager
from inspect import Parameter
from inspect import signature
import attr
import py
import _pytest
from _pytest._io.saferepr import saferepr
from _pytest.outcomes import fail
from _pytest.outcomes import TEST_OUTCOME
... | true | true |
790443bcc464aae5b19fa76b5861348d20e9ceed | 118 | py | Python | certbot/certbot/__init__.py | 4n3i5v74/certbot | 98678158637281069d180b789c80c00e5f182670 | [
"Apache-2.0"
] | 1 | 2021-09-12T08:53:17.000Z | 2021-09-12T08:53:17.000Z | certbot/certbot/__init__.py | 4n3i5v74/certbot | 98678158637281069d180b789c80c00e5f182670 | [
"Apache-2.0"
] | null | null | null | certbot/certbot/__init__.py | 4n3i5v74/certbot | 98678158637281069d180b789c80c00e5f182670 | [
"Apache-2.0"
] | null | null | null | """Certbot client."""
# version number like 1.2.3a0, must have at least 2 parts, like 1.2
__version__ = '1.14.0.dev0'
| 29.5 | 67 | 0.686441 |
__version__ = '1.14.0.dev0'
| true | true |
790444e3e505a040fcba3a3fb688e1a86ada25b7 | 3,542 | py | Python | ssseg/cfgs/emanet/base_cfg.py | skydengyao/sssegmentation | 606b05983fa967bb3c98d1120f44dfc516532dad | [
"MIT"
] | 1 | 2021-05-28T06:42:37.000Z | 2021-05-28T06:42:37.000Z | ssseg/cfgs/emanet/base_cfg.py | skydengyao/sssegmentation | 606b05983fa967bb3c98d1120f44dfc516532dad | [
"MIT"
] | null | null | null | ssseg/cfgs/emanet/base_cfg.py | skydengyao/sssegmentation | 606b05983fa967bb3c98d1120f44dfc516532dad | [
"MIT"
] | null | null | null | '''base config for emanet'''
# config for dataset
DATASET_CFG = {
'train': {
'type': '',
'set': 'train',
'rootdir': '',
'aug_opts': [('Resize', {'output_size': (2048, 512), 'keep_ratio': True, 'scale_range': (0.5, 2.0)}),
('RandomCrop', {'crop_size': (512, 512), ... | 27.457364 | 109 | 0.474873 |
DATASET_CFG = {
'train': {
'type': '',
'set': 'train',
'rootdir': '',
'aug_opts': [('Resize', {'output_size': (2048, 512), 'keep_ratio': True, 'scale_range': (0.5, 2.0)}),
('RandomCrop', {'crop_size': (512, 512), 'one_category_max_ratio': 0.75}),
... | true | true |
790445fcab73394f2d74226dbab7d47a788a78c3 | 283 | py | Python | albumentations/__init__.py | BelBES/albumentations | 2f83c3c29ae34bfd4f199e660a1174d6db1a0017 | [
"MIT"
] | null | null | null | albumentations/__init__.py | BelBES/albumentations | 2f83c3c29ae34bfd4f199e660a1174d6db1a0017 | [
"MIT"
] | null | null | null | albumentations/__init__.py | BelBES/albumentations | 2f83c3c29ae34bfd4f199e660a1174d6db1a0017 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
__version__ = '0.3.3'
from .core.composition import *
from .core.transforms_interface import *
from .core.serialization import *
from .augmentations.transforms import *
from .augmentations.bbox_utils import *
from .imgaug.transforms import *
| 25.727273 | 40 | 0.80212 | from __future__ import absolute_import
__version__ = '0.3.3'
from .core.composition import *
from .core.transforms_interface import *
from .core.serialization import *
from .augmentations.transforms import *
from .augmentations.bbox_utils import *
from .imgaug.transforms import *
| true | true |
790446b75682ad2f6a858e190999f72a97b4085c | 44,670 | py | Python | datasets/tensorflow-1.0.1/tensorflow/python/ops/rnn.py | yijunyu/demo-fast | 11c0c84081a3181494b9c469bda42a313c457ad2 | [
"BSD-2-Clause"
] | 6 | 2019-03-24T05:02:03.000Z | 2021-12-26T13:00:24.000Z | datasets/tensorflow-1.0.1/tensorflow/python/ops/rnn.py | yijunyu/demo-vscode-fast | 11c0c84081a3181494b9c469bda42a313c457ad2 | [
"BSD-2-Clause"
] | null | null | null | datasets/tensorflow-1.0.1/tensorflow/python/ops/rnn.py | yijunyu/demo-vscode-fast | 11c0c84081a3181494b9c469bda42a313c457ad2 | [
"BSD-2-Clause"
] | 1 | 2018-06-13T09:03:18.000Z | 2018-06-13T09:03:18.000Z | # Copyright 2015 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... | 42.787356 | 80 | 0.701903 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops
from tensorflow.python.framework import tensor_shap... | true | true |
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