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212
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
5780ccdc240b7902df73907fa6fcdfde16add904
|
234375d9ea3eeeacbfbd4b9dbcd508c7c88455ec
|
/setup.py
|
bcac9084a4162ce6e282d0d68d382f3095154453
|
[] |
no_license
|
shinyy98/Riskfolio-Lib
|
6962043f2ca4a592fb8f86dd5dcc6328345ea2b2
|
33979a32885de8a24c09847ca5a20af584ab54d4
|
refs/heads/master
| 2023-04-20T08:07:39.402230
| 2021-05-06T07:48:05
| 2021-05-06T07:48:05
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,517
|
py
|
# Copyright (C) 2020-2021 Dany Cajas
DESCRIPTION = "Portfolio Optimization and Quantitative Strategic Asset Allocation in Python"
with open("README.md", encoding='UTF-8') as fh:
LONG_DESCRIPTION = fh.read()
DISTNAME = 'Riskfolio-Lib'
MAINTAINER = 'Dany Cajas'
MAINTAINER_EMAIL = 'dany.cajas.n@uni.pe'
URL = 'https://github.com/dcajasn/Riskfolio-Lib'
LICENSE = 'BSD (3-clause)'
KEYWORDS = 'finance, portfolio, optimization, quant, asset, allocation, investing'
DOWNLOAD_URL = 'https://github.com/dcajasn/Riskfolio-Lib.git'
VERSION = '0.2.0.1'
PYTHON_REQUIRES = ">=3.7"
INSTALL_REQUIRES = [
'numpy>=1.17.0',
'scipy>=1.0.1',
'pandas>=1.0.0',
'matplotlib>=3.3.0',
'cvxpy>=1.0.25',
'scikit-learn>=0.22.0',
'statsmodels>=0.10.1',
'arch>=4.15',
'xlsxwriter>=1.3.7',
]
PACKAGES = [
'riskfolio',
]
CLASSIFIERS = [
'Intended Audience :: Financial and Insurance Industry',
'Intended Audience :: Science/Research',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'License :: OSI Approved :: BSD License',
'Topic :: Office/Business :: Financial :: Investment',
'Topic :: Office/Business :: Financial',
'Topic :: Scientific/Engineering :: Mathematics',
'Operating System :: Microsoft',
'Operating System :: Unix',
'Operating System :: MacOS'
]
if __name__ == "__main__":
from setuptools import setup
import sys
if sys.version_info[:2] < (3, int(PYTHON_REQUIRES[-1])):
raise RuntimeError("Riskfolio-Lib requires python " + PYTHON_REQUIRES)
setup(
name=DISTNAME,
author=MAINTAINER,
author_email=MAINTAINER_EMAIL,
maintainer=MAINTAINER,
maintainer_email=MAINTAINER_EMAIL,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
long_description_content_type='text/markdown; charset=UTF-8; variant=GFM',
license=LICENSE,
keywords=KEYWORDS,
url=URL,
version=VERSION,
download_url=DOWNLOAD_URL,
python_requires=PYTHON_REQUIRES,
install_requires=INSTALL_REQUIRES,
packages=PACKAGES,
classifiers=CLASSIFIERS,
project_urls={"Documentation": "https://riskfolio-lib.readthedocs.io/en/latest/",
"Issues": "https://github.com/dcajasn/Riskfolio-Lib/issues",
"Personal website": "http://financioneroncios.wordpress.com",
},
)
|
[
"61527316+dcajasn@users.noreply.github.com"
] |
61527316+dcajasn@users.noreply.github.com
|
2be0c94b220bec6d2088f2470dc9b8fef1c50cd1
|
915abdf6ce08e1986839b792676039d8be8fc843
|
/pycat.py
|
6e09a9beffbaaca227051035e64fad30a352c52e
|
[] |
no_license
|
Udeshay/summerPython2018
|
aa2b1eb9e9552b0d2803de097f9230e0f7f96e01
|
2ce694b24b82e9de8abd3938d44e74b3720f5213
|
refs/heads/master
| 2020-03-17T06:14:10.244212
| 2018-05-28T11:19:07
| 2018-05-28T11:19:07
| 133,347,140
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 506
|
py
|
#!/usr/bin/python
import sys
from os import path
#function definition of cat_fun
def cat_fun(f_name):
if path.exists(f_name):
if path.isfile(f_name):
f = open(f_name,'r') #opening file in read mode
print f.read() #will read file and print all data
f.close()
else :
print "\n\tcatpy:"+f_name+":***Is a Directory***"
else :
print "\n\tcatpy:"+f_name+":***No such file or Directory***"
#taking input as command line-
file_name = sys.argv[1:]
for f in file_name:
cat_fun(f)
|
[
"root@station158.example.com"
] |
root@station158.example.com
|
1816c72bb11d3ba9ad7302ebd635296b73376925
|
3235145c84c48535bbf27dabfb3faa7359ed6fef
|
/google-cloud-sdk/lib/surface/kms/keyrings/list.py
|
bf8cafeeb0701a5774aa513b68e90225b592a8f0
|
[
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] |
permissive
|
paceuniversity/CS3892017team1
|
b69fb10f5194f09748cd5bca48901e9bd87a55dc
|
f8e82537c84cac148f577794d2299ea671b26bc2
|
refs/heads/master
| 2021-01-17T04:34:04.158071
| 2017-05-09T04:10:22
| 2017-05-09T04:10:22
| 82,976,622
| 2
| 8
| null | 2020-07-25T09:45:47
| 2017-02-23T22:13:04
|
Python
|
UTF-8
|
Python
| false
| false
| 1,842
|
py
|
# Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""List keyrings within a location."""
from apitools.base.py import list_pager
from googlecloudsdk.api_lib.cloudkms import base as cloudkms_base
from googlecloudsdk.calliope import base
from googlecloudsdk.command_lib.kms import flags
from googlecloudsdk.core import properties
from googlecloudsdk.core import resources
class List(base.ListCommand):
"""List keyrings within a location.
Lists all keyrings within the given location.
## EXAMPLES
The following command lists a maximum of five keyrings in the location
`global`:
$ {command} --location global --limit=5
"""
@staticmethod
def Args(parser):
parser.display_info.AddFormat('table(name)')
def Run(self, args):
client = cloudkms_base.GetClientInstance()
messages = cloudkms_base.GetMessagesModule()
location_ref = resources.REGISTRY.Create(
flags.LOCATION_COLLECTION,
projectsId=properties.VALUES.core.project.GetOrFail)
request = messages.CloudkmsProjectsLocationsKeyRingsListRequest(
parent=location_ref.RelativeName())
return list_pager.YieldFromList(
client.projects_locations_keyRings,
request,
field='keyRings',
limit=args.limit,
batch_size_attribute='pageSize')
|
[
"hanastanojkovic@gmail.com"
] |
hanastanojkovic@gmail.com
|
d9d896fb355e176f32778e810f56eebdbe390e59
|
f775d4763d10e84d682d2122b2cb87ec18be77b8
|
/setup.py
|
cf72f0ac32fe380f6028da1217fe4f08d6fce348
|
[
"MIT"
] |
permissive
|
chrysn-pull-requests/aiodnsprox
|
d23b8de88c47cd3f20baadcc565805bde4a0b931
|
e53843015fb22a6c0327e467b2956a45c82678e1
|
refs/heads/main
| 2023-08-17T17:21:22.375237
| 2021-10-01T10:21:33
| 2021-10-01T10:32:44
| 413,811,566
| 0
| 0
|
MIT
| 2021-10-05T12:37:27
| 2021-10-05T12:37:26
| null |
UTF-8
|
Python
| false
| false
| 1,992
|
py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright (C) 2021 Freie Universität Berlin
#
# Distributed under terms of the MIT license.
import os
from setuptools import setup, find_packages
PACKAGE = "aiodnsprox"
DESCRIPTION = "A Python-based DNS-over-X proxy based on aiocoap "
AUTHOR = "Martine S. Lenders"
AUTHOR_EMAIL = "m.lenders@fu-berlin.de"
URL = "https://github.com/anr-bmbf-pivot/aiodnsprox"
def get_requirements():
with open("requirements.txt") as req_file:
for line in req_file:
yield line.strip()
def get_version(package):
""" Extract package version without importing file
Importing cause issues with coverage,
(modules can be removed from sys.modules to prevent this)
Importing __init__.py triggers importing rest and then requests too
Inspired from pep8 setup.py
"""
with open(os.path.join(package, '__init__.py')) as init_fd:
for line in init_fd:
if line.startswith('__version__'):
return eval(line.split('=')[-1]) # pylint:disable=eval-used
return None
setup(
name=PACKAGE,
version=get_version(PACKAGE),
description=DESCRIPTION,
long_description=open('README.rst').read(),
long_description_content_type="text/x-rst",
author=AUTHOR,
author_email=AUTHOR_EMAIL,
url=URL,
license='MIT',
download_url=URL,
packages=find_packages(),
classifiers=['Development Status :: 2 - Pre-Alpha',
'Programming Language :: Python',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.9',
'Intended Audience :: End Users/Desktop',
'Environment :: Console',
'Topic :: Utilities', ],
install_requires=list(get_requirements()),
entry_points= {
'console_scripts': [
'aiodns-proxy = aiodnsprox.cli.proxy:sync_main',
],
},
python_requires='>=3.7',
)
|
[
"m.lenders@fu-berlin.de"
] |
m.lenders@fu-berlin.de
|
783970d24e1d97381791c087441d406eeaf61ecf
|
03c27d0d9c64905b0e52856f78d995256ef1f7c1
|
/details/migrations/0005_auto_20210719_2318.py
|
2fc8a788de4e914b66ed596d5820c7a201da4084
|
[] |
no_license
|
Anish06-crypto/loan-application
|
c7f0ef77aeeac9d6c4dc38b1f1b67c31a732736b
|
34d1275490b8f94fc58c34c6c65d8f41209ebbc9
|
refs/heads/master
| 2023-06-23T00:49:42.152419
| 2021-07-20T06:00:01
| 2021-07-20T06:00:01
| 387,684,923
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,031
|
py
|
# Generated by Django 3.2.5 on 2021-07-19 17:48
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('details', '0004_auto_20210719_2313'),
]
operations = [
migrations.RemoveField(
model_name='personaldetails',
name='aadhar_number',
),
migrations.RemoveField(
model_name='personaldetails',
name='address',
),
migrations.RemoveField(
model_name='personaldetails',
name='country',
),
migrations.RemoveField(
model_name='personaldetails',
name='mailing_address',
),
migrations.RemoveField(
model_name='personaldetails',
name='marital_status',
),
migrations.RemoveField(
model_name='personaldetails',
name='pan_number',
),
migrations.RemoveField(
model_name='personaldetails',
name='pin_code',
),
migrations.RemoveField(
model_name='personaldetails',
name='state',
),
migrations.CreateModel(
name='MoreDetails',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('marital_status', models.CharField(choices=[('Married', 'married'), ('Unmarried', 'unmarried'), ('Separated', 'separated')], max_length=10, null=True)),
('address', models.CharField(max_length=150, null=True)),
('state', models.CharField(choices=[('Karnataka', 'karnataka'), ('Maharashtra', 'maharashtra'), ('New York', 'new york'), ('Texas', 'texas'), ('Melbourne', 'melbourne')], max_length=30, null=True)),
('pin_code', models.CharField(blank=True, max_length=6, null=True, validators=[django.core.validators.RegexValidator(message="Pin number must be entered in the format: '99999'. Up to 6 digits allowed.", regex='^\\d{6,6}$')])),
('country', models.CharField(choices=[('India', 'India'), ('USA', 'USA'), ('Australia', 'Australia')], max_length=30, null=True)),
('mailing_address', models.BooleanField(null=True)),
('aadhar_number', models.CharField(blank=True, max_length=12, null=True, validators=[django.core.validators.RegexValidator(message="Aadhar number must be entered in the format: '1111 1111 1111 1111'. Up to 12 digits allowed.", regex='^\\d{12,12}$')])),
('pan_number', models.CharField(blank=True, max_length=10, null=True, validators=[django.core.validators.RegexValidator(message="Pan number must be entered in the format: 'AhsGr2783d'. Up to 10 digits allowed.", regex='^[A-Za-z]{5}\\d{4}[A-Za-z]{1}$')])),
('name', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='details.personaldetails')),
],
),
]
|
[
"anishr62gmail.comgit config --global user.name Anish06-crypto/git config --global user.email anishr62gmail.com"
] |
anishr62gmail.comgit config --global user.name Anish06-crypto/git config --global user.email anishr62gmail.com
|
91a697244a8376cdea2aa5aa40233538c0976c78
|
66013dd1c4b051d1934a82f6c903f4088e9db3d0
|
/2주차/2021.01.26/예제/differentiation.py
|
ed0d5c04867a8c4231bd263838638e8709580c8b
|
[] |
no_license
|
dlrgy22/Boostcamp
|
690656d5b0e35d88a9b1480b36b42ffba47b3bc5
|
af6fb8ce02cc92d1d0227a972d187ccc294af0e9
|
refs/heads/main
| 2023-04-18T04:06:18.419625
| 2021-05-07T01:24:47
| 2021-05-07T01:24:47
| 330,589,750
| 3
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 260
|
py
|
import sympy as sym
from sympy.abc import x, y
func = sym.diff(sym.poly(x**2 + 2*x + 3), x)
print(func)
print(func.subs(x, 2))
print(sym.diff(sym.poly(x**2 + 2*x*y + 3) + sym.cos(x + 2*y), x))
print(sym.diff(sym.poly(x**2 + 2*x*y + 3) + sym.cos(x + 2*y), y))
|
[
"dlrgy22@gmail.com"
] |
dlrgy22@gmail.com
|
f5bb27e1af65281e82c2d2612b64ea120e971722
|
30109f5f173f4e51a20cfcaf6ec41628b177f553
|
/fhir/resources/STU3/documentmanifest.py
|
94a0436357d396ba1018fdc3d460cc56e2befff9
|
[
"BSD-3-Clause"
] |
permissive
|
arkhn/fhir.resources
|
82c8f705c8f19e15621f2bb59fd17600c0ef3697
|
122e89c8599c4034bb3075b31d1a1188e377db91
|
refs/heads/master
| 2022-12-16T07:58:19.448071
| 2020-08-13T03:59:37
| 2020-08-13T03:59:37
| 288,683,730
| 1
| 0
|
NOASSERTION
| 2020-08-19T09:01:02
| 2020-08-19T09:01:01
| null |
UTF-8
|
Python
| false
| false
| 12,206
|
py
|
# -*- coding: utf-8 -*-
"""
Profile: http://hl7.org/fhir/StructureDefinition/DocumentManifest
Release: STU3
Version: 3.0.2
Revision: 11917
Last updated: 2019-10-24T11:53:00+11:00
"""
from typing import Any, Dict
from typing import List as ListType
from pydantic import Field, root_validator
from . import backboneelement, domainresource, fhirtypes
class DocumentManifest(domainresource.DomainResource):
"""Disclaimer: Any field name ends with ``__ext`` does't part of
Resource StructureDefinition, instead used to enable Extensibility feature
for FHIR Primitive Data Types.
A list that defines a set of documents.
A collection of documents compiled for a purpose together with metadata
that applies to the collection.
"""
resource_type = Field("DocumentManifest", const=True)
author: ListType[fhirtypes.ReferenceType] = Field(
None,
alias="author",
title="Who and/or what authored the manifest",
description=(
"Identifies who is responsible for creating the manifest, and adding "
"documents to it."
),
# if property is element of this resource.
element_property=True,
# note: Listed Resource Type(s) should be allowed as Reference.
enum_reference_types=[
"Practitioner",
"Organization",
"Device",
"Patient",
"RelatedPerson",
],
)
content: ListType[fhirtypes.DocumentManifestContentType] = Field(
...,
alias="content",
title="The items included",
description="The list of Documents included in the manifest.",
# if property is element of this resource.
element_property=True,
)
created: fhirtypes.DateTime = Field(
None,
alias="created",
title="When this document manifest created",
description=(
"When the document manifest was created for submission to the server "
"(not necessarily the same thing as the actual resource last modified "
"time, since it may be modified, replicated, etc.)."
),
# if property is element of this resource.
element_property=True,
)
created__ext: fhirtypes.FHIRPrimitiveExtensionType = Field(
None, alias="_created", title="Extension field for ``created``."
)
description: fhirtypes.String = Field(
None,
alias="description",
title="Human-readable description (title)",
description=(
"Human-readable description of the source document. This is sometimes "
'known as the "title".'
),
# if property is element of this resource.
element_property=True,
)
description__ext: fhirtypes.FHIRPrimitiveExtensionType = Field(
None, alias="_description", title="Extension field for ``description``."
)
identifier: ListType[fhirtypes.IdentifierType] = Field(
None,
alias="identifier",
title="Other identifiers for the manifest",
description=(
"Other identifiers associated with the document manifest, including "
"version independent identifiers."
),
# if property is element of this resource.
element_property=True,
)
masterIdentifier: fhirtypes.IdentifierType = Field(
None,
alias="masterIdentifier",
title="Unique Identifier for the set of documents",
description=(
"A single identifier that uniquely identifies this manifest. "
"Principally used to refer to the manifest in non-FHIR contexts."
),
# if property is element of this resource.
element_property=True,
)
recipient: ListType[fhirtypes.ReferenceType] = Field(
None,
alias="recipient",
title="Intended to get notified about this set of documents",
description=(
"A patient, practitioner, or organization for which this set of "
"documents is intended."
),
# if property is element of this resource.
element_property=True,
# note: Listed Resource Type(s) should be allowed as Reference.
enum_reference_types=[
"Patient",
"Practitioner",
"RelatedPerson",
"Organization",
],
)
related: ListType[fhirtypes.DocumentManifestRelatedType] = Field(
None,
alias="related",
title="Related things",
description="Related identifiers or resources associated with the DocumentManifest.",
# if property is element of this resource.
element_property=True,
)
source: fhirtypes.Uri = Field(
None,
alias="source",
title="The source system/application/software",
description=(
"Identifies the source system, application, or software that produced "
"the document manifest."
),
# if property is element of this resource.
element_property=True,
)
source__ext: fhirtypes.FHIRPrimitiveExtensionType = Field(
None, alias="_source", title="Extension field for ``source``."
)
status: fhirtypes.Code = Field(
...,
alias="status",
title="current | superseded | entered-in-error",
description="The status of this document manifest.",
# if property is element of this resource.
element_property=True,
# note: Enum values can be used in validation,
# but use in your own responsibilities, read official FHIR documentation.
enum_values=["current", "superseded", "entered-in-error"],
)
status__ext: fhirtypes.FHIRPrimitiveExtensionType = Field(
None, alias="_status", title="Extension field for ``status``."
)
subject: fhirtypes.ReferenceType = Field(
None,
alias="subject",
title="The subject of the set of documents",
description=(
"Who or what the set of documents is about. The documents can be about "
"a person, (patient or healthcare practitioner), a device (i.e. "
"machine) or even a group of subjects (such as a document about a herd "
"of farm animals, or a set of patients that share a common exposure). "
"If the documents cross more than one subject, then more than one "
"subject is allowed here (unusual use case)."
),
# if property is element of this resource.
element_property=True,
# note: Listed Resource Type(s) should be allowed as Reference.
enum_reference_types=["Patient", "Practitioner", "Group", "Device"],
)
type: fhirtypes.CodeableConceptType = Field(
None,
alias="type",
title="Kind of document set",
description=(
"Specifies the kind of this set of documents (e.g. Patient Summary, "
"Discharge Summary, Prescription, etc.). The type of a set of documents"
" may be the same as one of the documents in it - especially if there "
"is only one - but it may be wider."
),
# if property is element of this resource.
element_property=True,
)
class DocumentManifestContent(backboneelement.BackboneElement):
"""Disclaimer: Any field name ends with ``__ext`` does't part of
Resource StructureDefinition, instead used to enable Extensibility feature
for FHIR Primitive Data Types.
The items included.
The list of Documents included in the manifest.
"""
resource_type = Field("DocumentManifestContent", const=True)
pAttachment: fhirtypes.AttachmentType = Field(
None,
alias="pAttachment",
title="Contents of this set of documents",
description=(
"The list of references to document content, or Attachment that consist"
" of the parts of this document manifest. Usually, these would be "
"document references, but direct references to Media or Attachments are"
" also allowed."
),
# if property is element of this resource.
element_property=True,
# Choice of Data Types. i.e p[x]
one_of_many="p",
one_of_many_required=True,
)
pReference: fhirtypes.ReferenceType = Field(
None,
alias="pReference",
title="Contents of this set of documents",
description=(
"The list of references to document content, or Attachment that consist"
" of the parts of this document manifest. Usually, these would be "
"document references, but direct references to Media or Attachments are"
" also allowed."
),
# if property is element of this resource.
element_property=True,
# Choice of Data Types. i.e p[x]
one_of_many="p",
one_of_many_required=True,
# note: Listed Resource Type(s) should be allowed as Reference.
enum_reference_types=["Resource"],
)
@root_validator(pre=True)
def validate_one_of_many(cls, values: Dict[str, Any]) -> Dict[str, Any]:
"""https://www.hl7.org/fhir/formats.html#choice
A few elements have a choice of more than one data type for their content.
All such elements have a name that takes the form nnn[x].
The "nnn" part of the name is constant, and the "[x]" is replaced with
the title-cased name of the type that is actually used.
The table view shows each of these names explicitly.
Elements that have a choice of data type cannot repeat - they must have a
maximum cardinality of 1. When constructing an instance of an element with a
choice of types, the authoring system must create a single element with a
data type chosen from among the list of permitted data types.
"""
one_of_many_fields = {"p": ["pAttachment", "pReference"]}
for prefix, fields in one_of_many_fields.items():
assert cls.__fields__[fields[0]].field_info.extra["one_of_many"] == prefix
required = (
cls.__fields__[fields[0]].field_info.extra["one_of_many_required"]
is True
)
found = False
for field in fields:
if field in values and values[field] is not None:
if found is True:
raise ValueError(
"Any of one field value is expected from "
f"this list {fields}, but got multiple!"
)
else:
found = True
if required is True and found is False:
raise ValueError(f"Expect any of field value from this list {fields}.")
return values
class DocumentManifestRelated(backboneelement.BackboneElement):
"""Disclaimer: Any field name ends with ``__ext`` does't part of
Resource StructureDefinition, instead used to enable Extensibility feature
for FHIR Primitive Data Types.
Related things.
Related identifiers or resources associated with the DocumentManifest.
"""
resource_type = Field("DocumentManifestRelated", const=True)
identifier: fhirtypes.IdentifierType = Field(
None,
alias="identifier",
title="Identifiers of things that are related",
description=(
"Related identifier to this DocumentManifest. For example, Order "
"numbers, accession numbers, XDW workflow numbers."
),
# if property is element of this resource.
element_property=True,
)
ref: fhirtypes.ReferenceType = Field(
None,
alias="ref",
title="Related Resource",
description=(
"Related Resource to this DocumentManifest. For example, Order, "
"ProcedureRequest, Procedure, EligibilityRequest, etc."
),
# if property is element of this resource.
element_property=True,
# note: Listed Resource Type(s) should be allowed as Reference.
enum_reference_types=["Resource"],
)
|
[
"connect2nazrul@gmail.com"
] |
connect2nazrul@gmail.com
|
24624a2a8ec05dc33a29232d475a8b8132ad41cb
|
df3c1c48abfc3892c7c6d21df5ecbe738ead6b38
|
/app.py
|
dbca7180cf9a9b0d9781eb40ac8188ed9d7a4030
|
[] |
no_license
|
timshik/Store
|
881e489d385c7db84f8edf2600b3c22f09b1847c
|
087f831cf9326b4dfce2648584911e59758228ef
|
refs/heads/master
| 2022-04-15T06:07:15.863061
| 2020-04-14T13:00:00
| 2020-04-14T13:00:00
| 255,578,160
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 957
|
py
|
import os
from flask import Flask
from flask_restful import Api
from flask_jwt import JWT
from security import authenticate, identity
from resources.user import UserRegister
from resources.item import Item, ItemList
from db import db
from resources.store import Store, StoreList
db.init_app(app)
app = Flask(__name__)
app.config["SQLAlchemy_DATABASE_URI"] = os.environ.get("DATABASE_URL","sqlite:///data.db")
app.config["SQLAlchemy_TRACK_MODIFICATIONS"] = False
app.config['PROPAGATE_EXCEPTIONS'] = True
app.secret_key = 'jose'
api = Api(app)
@app.before_first_request
def create_tables():
db.create_all()
jwt = JWT(app, authenticate, identity)
api.add_resource(Store, "/store/<string:name>")
api.add_resource(StoreList, "/stores")
api.add_resource(Item, '/item/<string:name>')
api.add_resource(ItemList, '/items')
api.add_resource(UserRegister, '/register')
if __name__ == '__main__':
app.run(debug=True) # important to mention debug=True
|
[
"timshik@users.noreply.github.com"
] |
timshik@users.noreply.github.com
|
ed2954bdd2ec5424da580a3dbdf86056e9c9e612
|
dd1e2ed53fec3dca0fa60042c04ad8cf6019ed89
|
/python/functions/arguments_passed_as_dictionary/arguments_passed_as_dictionary.py
|
bd77e7ed569887e6547b03ab831fdd645d5f53b0
|
[] |
no_license
|
cloudavail/snippets
|
9be4ee285789ff3cff1a3a71e1f505a1b1697500
|
340f5c2735d6ec88b793f1eea91f2b026c24586e
|
refs/heads/main
| 2023-08-03T10:30:13.976947
| 2023-05-15T04:46:32
| 2023-05-15T04:46:32
| 12,838,293
| 22
| 24
| null | 2023-09-07T03:33:17
| 2013-09-15T00:40:49
|
JavaScript
|
UTF-8
|
Python
| false
| false
| 668
|
py
|
#!/usr/bin/env python
# objective: pass arguments as dictionary
# creates the function "argument_catcher" and accepts the following keywords
def argument_catcher(city, population, size, state):
print 'city: {!s}'.format(city)
print 'state: {!s}'.format(state)
print 'population: {!s}'.format(population)
print 'size: {!s} miles'.format(size)
# creates the dictionary to be passed to the "argument_catcher" function
arguments_dict = {'city': 'San Francisco', 'population': 800000, 'size': 49,
'state': 'California'}
# calls the function "argument_catcher" with the previously created dictionary
argument_catcher(**arguments_dict)
|
[
"colinbjohnson@gmail.com"
] |
colinbjohnson@gmail.com
|
c78ac5f125525e45499d74f4a07081a1f77f4fad
|
fc91ba7357f75c3dca5e85a74c58f49948585b94
|
/views.py
|
bd6cc9216f74755eb3d5a72a4a05508f9b117984
|
[] |
no_license
|
acrawford13/local-library
|
0e1f3f0c237d97e97cf0ba383cdda47b54e46797
|
69bec622b30f695099fdb61e8cf390f321c761b8
|
refs/heads/master
| 2021-07-13T08:36:35.912494
| 2017-10-06T01:00:30
| 2017-10-06T01:00:30
| 105,849,820
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 22,519
|
py
|
from flask import Flask, render_template, flash, url_for
from flask import redirect, request, jsonify, make_response
from flask import session as login_session
from sqlalchemy import create_engine, and_
from sqlalchemy.orm import sessionmaker
from sqlalchemy.exc import IntegrityError
from models import Base, Book, User
import json
from datetime import datetime
from math import sqrt
import httplib2
# for saving user images:
from werkzeug.utils import secure_filename
import os
# to generate state token:
import random
import string
# to access google maps api:
import googlemaps
# to 'slugify' username:
import re
# for google authentication:
import requests
from oauth2client.client import flow_from_clientsecrets, FlowExchangeError
UPLOAD_FOLDER = 'static/images/'
ALLOWED_EXTENSIONS = set(['png', 'jpg', 'jpeg', 'gif'])
app = Flask(__name__)
app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
engine = create_engine('sqlite:///catalog.db')
Base.metadata.bind = engine
DBSession = sessionmaker(bind=engine)
session = DBSession()
GOOGLE_API_KEY = json.load(open('google_api_key.json'))['key']
gmaps = googlemaps.Client(key=GOOGLE_API_KEY)
FACEBOOK_APP_ID = (json.loads(open('fb_client_secret.json', 'r').read())
['web']['app_id'])
FACEBOOK_APP_SECRET = (json.loads(open('fb_client_secret.json', 'r').read())
['web']['app_secret'])
GOOGLE_CLIENT_SECRET_FILE = 'google_client_secret.json'
# csrf protection snippet from http://flask.pocoo.org/snippets/3/
# check state token matches on post requests
@app.before_request
def csrf_protect():
if request.method == 'POST':
token = login_session.get('csrf_token', None)
if not token or (token != request.form.get('csrf_token') and
token != request.args.get('csrf_token')):
response = make_response(json.dumps('Invalid state'), 401)
response.headers['Content-Type'] = 'application/json'
return response
# generate a random state token if none exists
def generate_csrf_token():
if 'csrf_token' not in login_session:
login_session['csrf_token'] = (''.join(random.choice(
string.ascii_uppercase + string.digits) for x in xrange(32)))
return login_session['csrf_token']
# make csrf token function available to template files
app.jinja_env.globals['csrf_token'] = generate_csrf_token
# check that uploaded files match the allowed extensions
def allowed_file(filename):
return '.' in filename and \
filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS
# remove spaces and replace non-letters/numbers with hyphens in a given string
def slugify(name):
string = re.sub(r'\s{2,}', '', name)
string = re.sub(r'[^\w\d\s]', '', string)
string = re.sub(r'[^\w\d]', '-', string)
return string.lower()
# create/fetch user, and add username to login session
def loginUser(name, email, picture):
user = session.query(User).filter_by(email=email).one_or_none()
if user:
if user.location_lat:
login_session['location_lat'] = user.location_lat
login_session['location_lng'] = user.location_lng
else:
user = User(
username=slugify(name),
name=name,
email=email,
picture=picture
)
session.add(user)
# if the username is not unique add a number to the end
for attempt in range(1, 20):
try:
session.commit()
break
except IntegrityError:
session.rollback()
user.username = slugify(name) + "-" + str(attempt)
session.add(user)
login_session['username'] = user.username
return user
@app.route('/')
def home():
if 'location_lat' in login_session:
location = {'lat': login_session['location_lat'],
'lng': login_session['location_lng']}
search_radius = 20
search_radius_deg = (search_radius/111.0)**2
# get all books within the search radius
books = (session.query(Book).join(User)
.filter(and_(
User.distance(location) <= search_radius_deg,
User.username != login_session['username']))
.order_by(User.distance(location), Book.name).all())
return render_template('home-logged-in.html',
books=books, search_radius=search_radius,
location=location, api_key=GOOGLE_API_KEY)
else:
books = session.query(Book).order_by('date_added').limit(5)
return render_template('home-logged-out.html',
books=books, api_key=GOOGLE_API_KEY)
@app.route('/login/')
def showLogin():
if 'username' in login_session:
return redirect(url_for('home'))
return render_template('login.html')
@app.route('/fbconnect', methods=['POST'])
def fbconnect():
access_token = request.data
url = ('https://graph.facebook.com/oauth/access_token?grant_type=fb_exchange_token&client_id=%s&client_secret=%s&fb_exchange_token=%s'
% (FACEBOOK_APP_ID, FACEBOOK_APP_SECRET, access_token))
h = httplib2.Http()
response = h.request(url, 'GET')[1]
login_session['app_access_token'] = json.loads(response)['access_token']
url = ('https://graph.facebook.com/me?fields=name,id,email&access_token=%s'
% login_session['app_access_token'])
h = httplib2.Http()
result = h.request(url, 'GET')[1]
user_data = json.loads(result)
if 'email' not in user_data:
response = make_response(
json.dumps("Sorry, email address is required for login"),
400)
response.headers['Content-Type'] = 'application/json'
return response
login_session['facebook_id'] = user_data['id']
login_session['provider'] = "facebook"
url = ('https://graph.facebook.com/me/picture?redirect=0&height=80&width=80&access_token=%s'
% login_session['app_access_token'])
h = httplib2.Http()
result = h.request(url, 'GET')[1]
user_picture = json.loads(result)['data']
user = loginUser(name=user_data['name'],
email=user_data['email'],
picture=user_picture['url'])
return url_for('home')
@app.route('/gconnect', methods=['POST'])
def gconnect():
code = request.data
client_id = (json.loads(open(GOOGLE_CLIENT_SECRET_FILE, 'r').read())
['web']['client_id'])
try:
oauth_flow = flow_from_clientsecrets(GOOGLE_CLIENT_SECRET_FILE,
scope='')
oauth_flow.redirect_uri = 'postmessage'
credentials = oauth_flow.step2_exchange(code)
except FlowExchangeError:
response = make_response(json.dumps(
'Failed to upgrade the authorisation code.'), 401)
response.headers['Content-Type'] = 'application/json'
return response
access_token = credentials.access_token
url = ('https://www.googleapis.com/oauth2/v1/tokeninfo?access_token=%s'
% access_token)
h = httplib2.Http()
result = json.loads(h.request(url, 'GET')[1])
if result.get('error') is not None:
response = make_response(json.dumps(result.get('error')), 500)
response.headers['Content-Type'] = 'application/json'
return response
gplus_id = credentials.id_token['sub']
if result['user_id'] != gplus_id:
response = make_response(json.dumps(
"Token's user ID doesn't match given user ID"), 401)
response.headers['Content-Type'] = 'application/json'
return response
if result['issued_to'] != client_id:
response = make_response(json.dumps(
"Token's client ID doesn't match application's ID"), 401)
response.headers['Content-Type'] = 'application/json'
return response
stored_credentials = login_session.get('credentials')
stored_gplus_id = login_session.get('gplus_id')
if stored_credentials is not None and gplus_id == stored_gplus_id:
response = make_response(json.dumps("User is already connected"), 200)
response.headers['Content-Type'] = 'application/json'
return response
login_session['access_token'] = credentials.access_token
login_session['gplus_id'] = gplus_id
login_session['provider'] = "google"
# get user info
userinfo_url = 'https://www.googleapis.com/oauth2/v2/userinfo'
params = {'access_token': credentials.access_token, 'alt': 'json'}
answer = requests.get(userinfo_url, params=params)
data = json.loads(answer.text)
user = loginUser(name=data['name'],
email=data['email'],
picture=data['picture'])
return redirect(url_for('home'))
@app.route('/logout/')
def logout():
if login_session['provider'] == 'facebook':
fbdisconnect()
elif login_session['provider'] == 'google':
gdisconnect()
del login_session['username']
if 'location_lat' in login_session:
del login_session['location_lat']
del login_session['location_lng']
del login_session['provider']
return redirect(url_for('home'))
@app.route('/fbdisconnect/')
def fbdisconnect():
facebook_id = login_session['facebook_id']
access_token = login_session['app_access_token']
h = httplib2.Http()
url = ("https://graph.facebook.com/%s/permissions?access_token=%s"
% (facebook_id, access_token))
result = json.loads(h.request(url, 'DELETE')[1])
del login_session['facebook_id']
del login_session['app_access_token']
if 'success' in result:
return "you have been logged out"
return "you were not able to be logged out"
@app.route('/gdisconnect/')
def gdisconnect():
access_token = login_session.get('access_token')
if access_token is None:
response = make_response(json.dumps('User not connected'), 401)
response.headers['Content-Type'] = 'application/json'
return response
url = 'http://accounts.google.com/o/oauth2/revoke?token=%s' % access_token
h = httplib2.Http()
result = h.request(url, 'GET')[0]
if result['status'] == '200':
del login_session['access_token']
del login_session['gplus_id']
response = make_response(json.dumps('Successfully disconnected.'), 200)
response.headers['Content-Type'] = 'application/json'
return response
else:
response = make_response(json.dumps('Failed to revoke token'), 400)
response.headers['Content-Type'] = 'application/json'
return response
@app.route('/search/')
def search():
location = {}
if "search" in request.args:
try:
location = (gmaps.geocode(request.args.get('search'))
[0]['geometry']['location'])
except googlemaps.exceptions.TransportError:
response = make_response(
json.dumps('Request to Google Maps API was unsuccessful'), 408)
response.headers['Content-Type'] = 'application/json'
return response
search_radius = float(request.args.get('radius', 10))
elif "radius" in request.args and login_session['location_lat']:
search_radius = float(request.args.get('radius'))
location['lat'] = login_session['location_lat']
location['lng'] = login_session['location_lng']
# convert search radius km to degrees (approx.)
# then square the value to compare with the User.distance(location) result
# because sqlite doesn't natively support sqrt
search_radius_deg = (search_radius/111.0)**2
if 'username' in login_session:
# get all books within the search radius
books = (session
.query(Book)
.join(User)
.filter(and_(User.distance(location) <= search_radius_deg,
User.username != login_session['username']))
.order_by(User.distance(location), Book.name).all())
else:
# get all books within the search radius
books = (session.query(Book).join(User)
.filter(User.distance(location) <= search_radius_deg)
.order_by(User.distance(location), Book.name).all())
if books:
return make_response(render_template('_search-list.html',
books=books, location=location), 200)
else:
return ('No results within %skm of %s' %
(request.args.get('radius'),
request.args.get('search', 'your location')))
@app.route('/api/search/')
def showJson():
# search radius in km
location = {}
search_radius = float(request.args.get('radius', 10))
location['lat'] = request.args.get('lat')
location['lng'] = request.args.get('lng')
search_term = request.args.get('search')
if search_term:
location = (gmaps.geocode(request.args.get('search'))
[0]['geometry']['location'])
search_radius_deg = (search_radius/111.0)**2
books = (session.query(Book).join(User)
.filter(User.distance(location) <= search_radius_deg)
.order_by(User.distance(location), Book.name).all())
return jsonify(books=[book.serialize_detailed(location=location)
for book in books])
@app.route('/api/user/<string:username>/')
def userJSON(username):
user = session.query(User).filter_by(username=username).one_or_none()
if not user:
return "No user by this name"
books = session.query(Book).filter_by(owner_username=username).all()
return jsonify(name=user.name,
city=user.city,
country=user.country,
picture=user.picture,
books=[book.serialize_simple for book in books])
@app.route('/api/book/<string:username>/<string:bookslug>')
def bookJSON(username, bookslug):
book = (session.query(Book).filter_by(owner_username=username)
.filter_by(slug=bookslug).one_or_none())
if not book:
return "No book by this name"
return jsonify(book.serialize_detailed())
@app.route('/<string:username>/editprofile/', methods=['GET', 'POST'])
def editProfile(username):
# check if a user is logged in
if 'username' not in login_session:
flash("Please log in to edit your profile")
return redirect(url_for('showLogin'))
# check if logged in user matches the username in the URL
# if not, redirect to the correct username
if login_session['username'] != username:
return redirect(url_for('editProfile',
username=login_session['username']))
user = session.query(User).filter_by(username=username).one()
# get request: render form to edit user profile
if request.method == 'GET':
return render_template('edit-profile.html',
user=user, api_key=GOOGLE_API_KEY)
# post request: update user info in database
if request.method == 'POST':
# upload profile picture to upload folder
if 'profilepic' in request.files:
file = request.files['profilepic']
if file and allowed_file(file.filename):
filename = secure_filename(file.filename)
file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename))
user.picture = filename
# store the data from the form
form = request.form
user.name = form['name']
user.city = form['city']
user.country = form['country']
user.location_lat = float(form['location_lat'])
user.location_lng = float(form['location_lng'])
login_session['location_lat'] = float(form['location_lat'])
login_session['location_lng'] = float(form['location_lng'])
session.commit()
return redirect(url_for('showUser', username=username))
@app.route('/<string:username>/')
def showUser(username):
location = {}
if 'location_lat' in login_session:
location = {'lat': login_session['location_lat'],
'lng': login_session['location_lng']}
books = session.query(Book).filter_by(owner_username=username).all()
user = session.query(User).filter_by(username=username).one_or_none()
if not user:
flash("The user <strong>%s</strong> does not exist" % username)
return redirect(url_for('home'))
return render_template('user-profile.html',
user=user, books=books, location=location)
@app.route('/<string:username>/<string:bookslug>')
def showBook(username, bookslug):
book = (session.query(Book).filter_by(owner_username=username)
.filter_by(slug=bookslug).one_or_none())
# check if book exists
if book:
return render_template('book.html', book=book)
else:
flash("This book does not exist")
return redirect(url_for('home'))
@app.route('/<string:username>/new', methods=['GET', 'POST'])
def newBook(username):
# check if a user is logged in
if 'username' not in login_session:
flash("Please log in to add a book")
return redirect(url_for('showLogin'))
# check if logged in user matches the username in the URL
# if not, redirect to the correct username
if login_session['username'] != username:
return redirect(url_for('newBook', username=login_session['username']))
# get request: render a form to add a new book
if request.method == 'GET':
return render_template('new-book.html')
# post request: add new book to the database
elif request.method == 'POST':
# store the data from the form
form = request.form
# create new book object
book = Book(name=form['name'],
slug=slugify(form['name']),
author=form['author'],
description=form['description'],
date_added=datetime.now(),
owner_username=username)
session.add(book)
# if the book slug + username unique constraint fails,
# add a number to the end of the book slug
for attempt in range(1, 20):
try:
session.commit()
break
except IntegrityError:
session.rollback()
book.slug = slugify(form['name']) + "-" + str(attempt)
session.add(book)
return redirect(url_for('showBook',
username=username, bookslug=book.slug))
@app.route('/<string:username>/<string:bookslug>/edit',
methods=['GET', 'POST'])
def editBook(username, bookslug):
# check if a user is logged in
if 'username' not in login_session:
flash("Please <a href='%s'>log in</a> to edit this book"
% url_for('showLogin'))
return redirect(url_for('showBook',
username=username, bookslug=bookslug))
# check if logged in user owns the book
if login_session['username'] != username:
flash("This is not your book")
return redirect(url_for('showBook',
username=username, bookslug=bookslug))
# get the book object that matches username & slug
book = (session.query(Book).filter_by(owner_username=username)
.filter_by(slug=bookslug).one_or_none())
# check if the book exists
if not book:
flash("This book does not exist")
return redirect(url_for('home'))
# get request: render a form to edit the book's details
if request.method == 'GET':
return render_template('edit-book.html', book=book)
# post request: update the book's details in the database
elif request.method == 'POST':
# store the data from the form
form = request.form
# if the name has changed, generate a new slug
if book.name != form['name']:
book.slug = slugify(form['name'])
book.name = form['name']
book.author = form['author']
book.description = form['description']
# if the book slug + username unique constraint fails,
# add a number to the end of the book slug
for attempt in range(1, 20):
try:
session.commit()
break
except IntegrityError:
session.rollback()
book.name = form['name']
book.author = form['author']
book.description = form['description']
book.slug = slugify(form['name']) + "-" + str(attempt)
return redirect(url_for('showBook',
username=username, bookslug=book.slug))
@app.route('/<string:username>/<string:bookslug>/delete',
methods=['GET', 'POST'])
def deleteBook(username, bookslug):
# check if a user is logged in
if 'username' not in login_session:
flash("Please <a href='%s'>log in</a> to delete this book"
% url_for('showLogin'))
return redirect(url_for('showBook',
username=username, bookslug=bookslug))
# check if logged in user owns the book
if login_session['username'] != username:
flash("This is not your book")
return redirect(url_for('showBook',
username=username, bookslug=bookslug))
# get the book object that matches username & slug
book = (session.query(Book).filter_by(owner_username=username)
.filter_by(slug=bookslug).one_or_none())
# check if the book exists
if not book:
flash("This book does not exist")
return redirect(url_for('home'))
# get request: render a confirmation page
if request.method == 'GET':
return render_template('delete-book.html', book=book)
# post request: delete the book and redirect to the user's profile
elif request.method == 'POST':
session.delete(book)
session.commit()
flash("<strong>%s</strong> has been deleted" % book.name)
return redirect(url_for('showUser', username=username))
if __name__ == '__main__':
app.debug = True
app.secret_key = 'make_this_better'
app.run(host='0.0.0.0', port=5000)
|
[
"andrea.crawford13@gmail.com"
] |
andrea.crawford13@gmail.com
|
58feb52c37f7bcf23a6be186845452d2879973a3
|
0ce487a00f82c262e8624fc5094e0d4b2b6556d6
|
/testdir/test.py
|
22ce659815e5774c69a8bbddfe41ec475a3feee6
|
[] |
no_license
|
netpan/netpan
|
a56ca88d82a44e759fe6deff81e58f77ab192c61
|
3d2ed9921c06026fc3484c3e8261e3519f21dfc5
|
refs/heads/master
| 2020-05-02T18:05:22.139693
| 2019-03-29T08:09:00
| 2019-03-29T08:09:00
| 178,118,032
| 2
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 312
|
py
|
a=int(input("请输入你家狗儿的年龄："))
if a<0:
print("你是来搞笑的吧！")
elif a==1:
print("相当于人类14岁的年龄！")
elif a==2:
print("相当于人类22岁的年龄！")
else:
b=22+(a-2)*5
print("相当于人类 %d 岁的年龄" %(b))
input("press enter to exit!")
|
[
"pjzjxpf@163.com"
] |
pjzjxpf@163.com
|
bf74ca17e3732d2678260260cb83b4e680409be7
|
239c573e6d5c478bfd848f813f9d3760db2a6ac4
|
/applyuni/Portal/views/universityportal.py
|
8807ec819c995213404da803604d9e29dbf6d642
|
[] |
no_license
|
Harsha2001-creater/project_2020
|
8b0acf11d02e825cf0b07afedd2b1e06021f855f
|
a784e620e208c112df2477ac20e955aa45d819fc
|
refs/heads/main
| 2023-03-05T05:40:03.807723
| 2021-02-19T10:20:20
| 2021-02-19T10:20:20
| 326,559,622
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,720
|
py
|
from django.shortcuts import render
from django.shortcuts import render,redirect,HttpResponseRedirect
from django.http import HttpResponse
from django.views import View
from Portal.models.newcourse import Newcourse
class Universityportal(View):
def get(self,request):
return render(request,'University_portal/newcourse.html')
def post(self,request):
Coursename=request.POST.get('coursename')
Coursetype=request.POST.get('coursetype')
Facultyname=request.POST.get('facultyname')
Courseapproval=request.POST.get('courseapproval')
Approvalauthority=request.POST.get('approval')
Tutionfee=request.POST.get('fee')
Amount1=request.POST.get('amount1')
Sem1=request.POST.get('sem1')
Sem2=request.POST.get('sem2')
Sem3=request.POST.get('sem3')
Sem4=request.POST.get('sem4')
Sem5=request.POST.get('sem5')
Sem6=request.POST.get('sem6')
Duration1=request.POST.get('duration1')
Noofsems=request.POST.get('noofsems')
Criteria1=request.POST.get('criteria1')
Criteria2=request.POST.get('criteria2')
Criteria3=request.POST.get('criteria3')
Universitymail=request.session['university_Email']
newcourse=Newcourse(Coursename=Coursename,Coursetype=Coursetype,Facultyname=Facultyname,Courseapproval=Courseapproval,
Approvalauthority=Approvalauthority,Tutionfee=Tutionfee,Amount1=Amount1,Sem1=Sem1,Sem2=Sem2,Sem3=Sem3,Sem4=Sem4,
Sem5=Sem5,Sem6=Sem6,Duration1=Duration1,Noofsems=Noofsems,Criteria1=Criteria1,Criteria2=Criteria2,Criteria3=Criteria3,Universitymail=Universitymail)
newcourse.register()
return redirect('Unisettings')
|
[
"niharikareddy561@gmail.com"
] |
niharikareddy561@gmail.com
|
539846eac1b2f133d9cd8effb4190a5c233a6adb
|
1a5d7882b9e89b821851be328256211c65f9c1a2
|
/simple_settings/strategies/__init__.py
|
7d95f88acb1141987187d45f54d012d3e2e30de8
|
[
"MIT"
] |
permissive
|
matthewh/simple-settings
|
2644f3032e5fc7ffa50dc8fa164bf79f640e5641
|
dbddf8d5be7096ee7c4c3cc6d82824befa9b714f
|
refs/heads/master
| 2022-11-04T22:25:55.398073
| 2020-06-22T19:25:03
| 2020-06-22T19:25:03
| 274,223,776
| 0
| 0
|
MIT
| 2020-06-22T19:21:30
| 2020-06-22T19:21:29
| null |
UTF-8
|
Python
| false
| false
| 805
|
py
|
# -*- coding: utf-8 -*-
from .cfg import SettingsLoadStrategyCfg
from .environ import SettingsLoadStrategyEnviron
from .json_file import SettingsLoadStrategyJson
from .python import SettingsLoadStrategyPython
yaml_strategy = None
try:
from .yaml_file import SettingsLoadStrategyYaml
yaml_strategy = SettingsLoadStrategyYaml
except ImportError: # pragma: no cover
pass
toml_strategy = None
try:
from .toml_file import SettingsLoadStrategyToml
toml_strategy = SettingsLoadStrategyToml
except ImportError: # pragma: no cover
pass
strategies = (
SettingsLoadStrategyPython,
SettingsLoadStrategyCfg,
SettingsLoadStrategyJson,
SettingsLoadStrategyEnviron
)
if yaml_strategy:
strategies += (yaml_strategy,)
if toml_strategy:
strategies += (toml_strategy,)
|
[
"drgarcia1986@gmail.com"
] |
drgarcia1986@gmail.com
|
7f097c9f8210d4dbb9dbbe2375d00e98ab669c30
|
773904616b39d54e8c8188903ae2f0f520d64c72
|
/recipes/masterlist.py
|
cac93cc35df29407fac234458c0fa288e2be3978
|
[] |
no_license
|
youoldmiyoung/recipe-aggregator
|
fe3170bfd83583a9ec34e1cb1d09819a81e2bf7a
|
ae3699e6efd1903a972ec8a0fe5c3a070e2efd11
|
refs/heads/main
| 2023-04-01T08:24:52.394182
| 2021-04-11T18:40:23
| 2021-04-11T18:40:23
| 347,492,226
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 159,562
|
py
|
masterList = [['Cauliflower and Mushroom Curry', 'https://olivesfordinner.com/2020/05/cauliflower-and-mushroom-curry.html', 'https://olivesfordinner.com/wp-content/uploads/2020/05/Cauliflower-and-Mushroom-Curry-cover-320x320.jpg'], ['Easy Homemade Pizza Dough', 'https://olivesfordinner.com/2020/04/easy-homemade-pizza-dough.html', 'https://olivesfordinner.com/wp-content/uploads/2020/04/2-ingredient-pizza-dough-320x320.jpg'], ['Social Distancing Soup', 'https://olivesfordinner.com/2020/04/social-distancing-soup.html', 'https://olivesfordinner.com/wp-content/uploads/2020/04/social-distancing-soup-cover-320x320.jpg'], ['The Best Buffalo Cauliflower | Crispy + Spicy + Air Fried!', 'https://olivesfordinner.com/2019/11/the-best-buffalo-cauliflower-crispy-spicy-air-fried.html', 'https://olivesfordinner.com/wp-content/uploads/2019/11/Olives-for-Dinner-The-Best-Buffalo-Cauliflower-cover-320x320.jpg'], ['Oyster Mushroom Tacos with Chipotle + Lime Sauce', 'https://olivesfordinner.com/2019/08/oyster-mushroom-tacos-with-chipotle-lime-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2019/08/Oyster-Mushroom-Tacos-cover-320x320.jpg'], ['Vegan Lox', 'https://olivesfordinner.com/2019/08/vegan-lox.html', 'https://olivesfordinner.com/wp-content/uploads/2019/08/Carrot-Lox-cover-320x320.jpg'], ['Red Lentil Fritters with Mint-Garlic Yogurt Sauce', 'https://olivesfordinner.com/2019/07/red-lentil-fritters-with-mint-garlic-yogurt-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2019/07/Olives-for-Dinner-Red-Lentil-Fritters-cover-320x320.jpg'], ['Tofu Satay with Spicy Peanut Sauce', 'https://olivesfordinner.com/2019/07/tofu-satay-with-spicy-peanut-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2019/07/Grilled-Tofu-with-Peanut-Sauce-cover-320x320.jpg'], ['Vegan Reuben with Mandolined Portobello', 'https://olivesfordinner.com/2019/04/vegan-reuben-with-mandolined-portobello.html', 'https://olivesfordinner.com/wp-content/uploads/2019/04/Vegan-Reuben-cover-320x320.jpg'], ['Deep-fried Jackfruit with Garlicky-Dill Mayo', 'https://olivesfordinner.com/2019/04/deep-fried-jackfruit-with-garlicky-dill-mayo.html', 'https://olivesfordinner.com/wp-content/uploads/2019/04/Deep-fried-Jackfruit-cover-320x320.jpg'], ['Cauliflower Puree with Roasted Mushrooms and Caramelized Onions', 'https://olivesfordinner.com/2019/03/cauliflower-puree-with-roasted-mushrooms-and-caramelized-onions.html', 'https://olivesfordinner.com/wp-content/uploads/2019/03/Olives-for-Dinner-Cauliflower-Puree-with-Roasted-Mushrooms-and-Caramelized-Onions-320x320.jpg'], ['Bang Bang Tofu Taco Bowl', 'https://olivesfordinner.com/2019/02/bang-bang-tofu-taco-bowl.html', 'https://olivesfordinner.com/wp-content/uploads/2019/02/Bang-Bang-Tofu-Taco-Bowl-cover-320x320.jpg'], ['Pasta with Roasted Red Pepper Sauce and Caramelized Shallots', 'https://olivesfordinner.com/2012/08/pasta-with-roasted-red-pepper-sauce-and.html', 'https://olivesfordinner.com/wp-content/uploads/2012/08/7762912426_494a4743ce_z-320x320.jpg'], ['Toasted Farro with Roasted Shiitake, Shallots and Pine Nuts', 'https://olivesfordinner.com/2018/11/toasted-farro-with-roasted-shiitake-shallots-and-pine-nuts.html', 'https://olivesfordinner.com/wp-content/uploads/2018/11/Toasted-Farro-with-Roasted-Shiitake-Shallots-and-Pine-Nuts-cover-320x320.jpg'], ['Sambal + Ginger Tofu with Air-Fried Bok Choy', 'https://olivesfordinner.com/2018/10/sambal-ginger-tofu-with-air-fried-bok-choy.html', 'https://olivesfordinner.com/wp-content/uploads/2018/10/Sambal-Ginger-Tofu-with-Air-Fried-Bok-Choy-_-cover-320x320.jpg'], ['Roasted Parsnip, Cauliflower + Garlic Soup', 'https://olivesfordinner.com/2018/10/roasted-parsnip-cauliflower-garlic-soup.html', 'https://olivesfordinner.com/wp-content/uploads/2018/10/Roasted-Parsnip-Cauliflower-Garlic-Soup-cover-320x320.jpg'], ['Riced Cauliflower + Pressed Portos', 'https://olivesfordinner.com/2018/09/riced-cauliflower-pressed-portos.html', 'https://olivesfordinner.com/wp-content/uploads/2018/09/Riced-Cauliflower-Pressed-Porto-cover-320x320.jpg'], ['Farro + Beet Burgers with Kimchi Mayo', 'https://olivesfordinner.com/2018/09/farro-beet-burgers-with-kimchi-mayo.html', 'https://olivesfordinner.com/wp-content/uploads/2018/09/Farro-Beet-Burgers-13236-320x320.jpg'], ['Firecracker Cauliflower', 'https://olivesfordinner.com/2018/08/firecracker-cauliflower.html', 'https://olivesfordinner.com/wp-content/uploads/2018/08/Firecracker-Cauliflower-cover-320x320.jpg'], ['Vegan Egg Drop Soup', 'https://olivesfordinner.com/2018/08/vegan-egg-drop-soup.html', 'https://olivesfordinner.com/wp-content/uploads/2018/08/Vegan-Eggdrop-cover-320x320.jpg'], ['Seitan Bourguignon', 'https://olivesfordinner.com/2018/01/seitan-bourguignon.html', 'https://olivesfordinner.com/wp-content/uploads/2018/01/Seitan-Bourginon-cover1-320x320.jpg'], ['Quick + Easy Focaccia Pizza', 'https://olivesfordinner.com/2018/01/quick-easy-focaccia-pizza.html', 'https://olivesfordinner.com/wp-content/uploads/2018/01/Focaccia-cover-320x320.jpg'], ['New England Vegan Chowder', 'https://olivesfordinner.com/2017/12/new-england-vegan-chowder.html', 'https://olivesfordinner.com/wp-content/uploads/2017/12/New-England-Vegan-Chowder-cover-320x320.jpg'], ['Coconut-Chickpea Crepes with Smoky Herbed Mushrooms', 'https://olivesfordinner.com/2013/02/coconut-chickpea-crepes-with-smoky.html', 'https://olivesfordinner.com/wp-content/uploads/2013/02/8455834235_7bfba45015_z-320x320.jpg'], ['Vegan Scallops in a Bacon-Cashew Cream Sauce', 'https://olivesfordinner.com/2017/11/vegan-scallops-in-a-bacon-cashew-cream-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2017/10/King-Oyster-Mushroom-Scallops-in-a-Bacon-Cashew-Cream-Sauce-cover-320x320.jpg'], ['Grilled Bok Choy with Salty + Spicy Oyster Mushrooms', 'https://olivesfordinner.com/2017/10/grilled-bok-choy-with-salty-spicy-oyster-mushrooms.html', 'https://olivesfordinner.com/wp-content/uploads/2017/10/Grilled-Bok-Choy-with-Salty-Spicy-Oyster-Mushrooms-cover-320x320.jpg'], ['Air-Fried Buffalo Cauliflower Steaks', 'https://olivesfordinner.com/2017/10/air-fried-buffalo-cauliflower-steaks.html', 'https://olivesfordinner.com/wp-content/uploads/2017/10/Air-Fried-Buffalo-Cauliflower-Steaks-cover-320x320.jpg'], ['Pasta with Roasted Tomatoes + Chickpeas', 'https://olivesfordinner.com/2017/10/pasta-with-roasted-tomatoes-chickpeas.html', 'https://olivesfordinner.com/wp-content/uploads/2017/09/Pasta-with-Roasted-Tomatoes-and-Chickpeas-cover-320x320.jpg'], ['Shroom Stroganoff', 'https://olivesfordinner.com/2017/09/shroom-stroganoff.html', 'https://olivesfordinner.com/wp-content/uploads/2017/08/Shroom-Stroganoff-cover-320x320.jpg'], ['Gobi Manchurian', 'https://olivesfordinner.com/2017/09/gobi-manchurian.html', 'https://olivesfordinner.com/wp-content/uploads/2017/09/Gobi-Manchurian-cover1-320x320.jpg'], ['Silky Bell Pepper Sushi', 'https://olivesfordinner.com/2017/08/silky-bell-pepper-sushi.html', 'https://olivesfordinner.com/wp-content/uploads/2017/08/Bell-Pepper-Sushi-cover-320x320.jpg'], ['Sweet Potato Tempura and Avocado Rolls with Teriyaki Glaze', 'https://olivesfordinner.com/2017/05/sweet-potato-tempura-and-avocado-rolls-with-teriyaki-glaze.html', 'https://olivesfordinner.com/wp-content/uploads/2017/05/Sweet-Potato-Tempura-and-Avocado-Rolls-with-Teriyaki-Glaze-cover-320x320.jpg'], ['Vegan Lobster Roll', 'https://olivesfordinner.com/2017/05/vegan-lobster-roll.html', 'https://olivesfordinner.com/wp-content/uploads/2017/05/Vegan-Lobster-Roll-cover-320x320.jpg'], ['Vegan Shrimp', 'https://olivesfordinner.com/2017/05/vegan-shrimp.html', 'https://olivesfordinner.com/wp-content/uploads/2017/04/Vegan-Shrimp-cover-320x320.jpg'], ['Korean-Style Tacos, made with Sweet Earth Brand Traditional Seitan (+bonus news!)', 'https://olivesfordinner.com/2017/04/korean-style-tacos-made-with-sweet-earth-brand-traditional-seitan-bonus-news.html', 'https://olivesfordinner.com/wp-content/uploads/2017/04/Korean-Style-Tacos-cover-320x320.jpg'], ['Maitake + Oyster Mushroom Wontons in a Roasted Ginger Broth', 'https://olivesfordinner.com/2017/03/maitake-oyster-mushroom-wontons-in-a-roasted-ginger-broth.html', 'https://olivesfordinner.com/wp-content/uploads/2017/03/Maitake-Oyster-Mushroom-Wontons-cover-320x320.jpg'], ['Mock Eel with a Sticky+Sweet Ginger Sauce', 'https://olivesfordinner.com/2017/03/mock-eel-with-a-stickysweet-ginger-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2017/02/Mock-Eel-cover-320x320.jpg'], ['Vegan Po Boy', 'https://olivesfordinner.com/2017/03/vegan-po-boy.html', 'https://olivesfordinner.com/wp-content/uploads/2017/03/Vegan-Po-Boy-cover-320x320.jpg'], ['Carrot Lox Stuffed + Fried Ravioli', 'https://olivesfordinner.com/2017/03/carrot-lox-stuffed-fried-ravioli.html', 'https://olivesfordinner.com/wp-content/uploads/2017/02/Carrot-Lox-Stuffed-Fried-Ravioli-cover-320x320.jpg'], ['Japanese-Style Breakfast Bowl', 'https://olivesfordinner.com/2017/02/japanese-style-breakfast-bowl.html', 'https://olivesfordinner.com/wp-content/uploads/2017/02/Japanese-Style-Breakfast-Bowl-cover-320x320.jpg'], ['Buttermilk-Battered + Air-Fried Tofu', 'https://olivesfordinner.com/2017/02/buttermilk-battered-air-fried-tofu.html', 'https://olivesfordinner.com/wp-content/uploads/2017/01/Buttermilk-Battered-and-Air-Fried-Tofu_cover-1-320x320.jpg'], ['Veggie Grill Copycat Recipe | Koreatown Tacos', 'https://olivesfordinner.com/2017/01/veggie-grill-copycat-recipe-koreatown-tacos.html', 'https://olivesfordinner.com/wp-content/uploads/2017/01/Veggie-Grill-Copycat-Recipe-Koreatown-Tacos-320x320.png'], ['Roasted Balsamic Beets + Rutabaga', 'https://olivesfordinner.com/2017/01/roasted-balsamic-beets-rutabaga.html', 'https://olivesfordinner.com/wp-content/uploads/2017/01/Roasted-Balsamic-Beets-and-Rutabaga-cover-320x320.jpg'], ['Vegan Ramen', 'https://olivesfordinner.com/2017/01/vegan-ramen.html', 'https://olivesfordinner.com/wp-content/uploads/2017/01/Vegan-Ramen-cover-320x320.jpg'], ['Roasted Ginger and Coconut Soup', 'https://olivesfordinner.com/2016/11/roasted-ginger-and-coconut-soup.html', 'https://olivesfordinner.com/wp-content/uploads/2016/11/Roasted-Ginger-320x320.jpg'], ['Farro Sausages', 'https://olivesfordinner.com/2016/11/farro-sausages.html', 'https://olivesfordinner.com/wp-content/uploads/2016/11/Farro-Sausage-320x320.jpg'], ['Savory + Crispy Vietnamese Crepes', 'https://olivesfordinner.com/2016/10/savory-crispy-vietnamese-crepes.html', 'https://olivesfordinner.com/wp-content/uploads/2016/10/Banh-Xeo-cover-320x320.jpg'], ['Savory + Crispy Vietnamese Crepes', 'https://olivesfordinner.com/2016/10/savory-crispy-vietnamese-crepes.html', 'https://olivesfordinner.com/wp-content/uploads/2016/10/Banh-Xeo-cover-320x320.jpg'], ['Buffalo Cauliflower Pizza', 'https://olivesfordinner.com/2016/10/buffalo-cauliflower-pizza.html', 'https://olivesfordinner.com/wp-content/uploads/2016/10/Buffalo-Cauliflower-Pizza-320x320.jpg'], ['Seared King Oyster Mushrooms + a Homemade Teriyaki Glaze', 'https://olivesfordinner.com/2016/10/seared-king-oyster-mushrooms-a-homemade-teriyaki-glaze.html', 'https://olivesfordinner.com/wp-content/uploads/2016/09/Seared-King-Oyster-Mushrooms-320x320.jpg'], ['Crispy Kung Pao Brussels Sprouts', 'https://olivesfordinner.com/2016/09/crispy-kung-pao-brussels-sprouts.html', 'https://olivesfordinner.com/wp-content/uploads/2016/09/kung-pao-cover-320x320.jpg'], ['Pressed Maitake Buns with Gochujang-Hoisin Glaze', 'https://olivesfordinner.com/2016/09/pressed-maitake-buns-with-gochujang-hoisin-glaze.html', 'https://olivesfordinner.com/wp-content/uploads/2016/08/Pressed-Maitake-Buns-320x320.jpg'], ['Tofu Banh Mi', 'https://olivesfordinner.com/2016/08/tofu-banh-mi.html', 'https://olivesfordinner.com/wp-content/uploads/2016/08/tofu-banh-mi-cover-320x320.jpg'], ['Crispy Buffalo Cauliflower Salad', 'https://olivesfordinner.com/2016/08/crispy-buffalo-cauliflower-salad.html', 'https://olivesfordinner.com/wp-content/uploads/2016/08/coverphoto-320x320.jpg'], ['Crispy + Spicy Enoki Mushroom Roll', 'https://olivesfordinner.com/2016/07/crispy-spicy-enoki-mushroom-roll.html', 'https://olivesfordinner.com/wp-content/uploads/2016/07/28327021802_8fcd205138_z-320x320.jpg'], ['Mâche and Mint Salad with Buttermilk-Ponzu Dressing', 'https://olivesfordinner.com/2016/06/mache-and-mint-salad-with-buttermilk-ponzu-dressing.html', 'https://olivesfordinner.com/wp-content/uploads/2016/05/mache-cover-320x320.jpg'], ['Crispy Vegan Shrimp Toast', 'https://olivesfordinner.com/2016/06/crispy-vegan-shrimp-toast.html', 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'https://olivesfordinner.com/wp-content/uploads/2012/11/8196192203_461d3a4b8e_z-320x320.jpg'], ['Shallot and Shiitake Seitan Wellington', 'https://olivesfordinner.com/2012/11/shallot-and-shiitake-seitan-wellington.html', 'https://olivesfordinner.com/wp-content/uploads/2012/11/8176377771_bebfa1ab0d_z-320x320.jpg'], ['Protein-Happy Quinoa Wraps from Vegan Sandwiches Save the Day!', 'https://olivesfordinner.com/2012/11/protein-happy-quinoa-wraps-from-vegan.html', 'https://olivesfordinner.com/wp-content/uploads/2012/11/8155643856_4a48f6617a_z-320x320.jpg'], ['Tofu Tikka Masala', 'https://olivesfordinner.com/2012/10/tofu-tikka-masala.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8110173470_6644257513_z-320x320.jpg'], ['Vegan Scallops in a White Wine Cream Sauce over Pasta', 'https://olivesfordinner.com/2012/10/vegan-scallops-in-wine-wine-cream-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8106318112_c63658492a_z-320x320.jpg'], ['PPK Chocolate Chip Cookies', 'https://olivesfordinner.com/2011/04/ppk-chocolate-chip-cookies.html', 'https://olivesfordinner.com/wp-content/uploads/2011/04/5639003638_504f52bbf9-320x320.jpg'], ['White Bean and Mushroom Soup with Dill-Pepper Dumplings', 'https://olivesfordinner.com/2012/10/white-bean-and-mushroom-soup-with-di.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8087081755_464006e571_z-320x320.jpg'], ['Roasted Red Pepper Mac and Cheese', 'https://olivesfordinner.com/2012/10/roasted-red-pepper-mac-and-cheese.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8060234137_cfb80515f8_z-320x320.jpg'], ['Sesame-Ginger Soba Noodles', 'https://olivesfordinner.com/2012/10/sesame-ginger-soba-noodles.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8064732272_38b0391bfa_z-320x320.jpg'], ['Homemade Thai Sweet Chili Sauce with Fried Tofu', 'https://olivesfordinner.com/2012/10/homemade-thai-sweet-chili-sauce-wi.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8017588970_dd4a45740c-320x320.jpg'], ['Vegan Bacon-Wrapped Scallops with Paprika Cream Sauce', 'https://olivesfordinner.com/2012/10/vegan-bacon-wrapped-scallops-wi.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8044749163_c4e55e1c58_z-320x320.jpg'], ['Raw Tahini and Cashew Dressing', 'https://olivesfordinner.com/2012/09/raw-tahini-and-cashew-dressing.html', 'https://olivesfordinner.com/wp-content/uploads/2012/09/IMG_1464-320x320.jpg'], ['Vegan Grilled Cheese with Smoky Tomato Soup', 'https://olivesfordinner.com/2012/09/vegan-grilled-cheese-with-smoky-tomato.html', 'https://olivesfordinner.com/wp-content/uploads/2012/09/7993534714_73858b07d3-320x320.jpg'], ['Ratatouille (Confit Byaldi)', 'https://olivesfordinner.com/2012/09/ratatouille-confit-byaldi.html', 'https://olivesfordinner.com/wp-content/uploads/2012/09/12193750456_691804522f_c-320x320.jpg'], ['Cheese-Stuffed Homemade Ravioli with White Wine Sauce', 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'https://olivesfordinner.com/wp-content/uploads/2012/06/7426883562_bff8f197b4-320x320.jpg'], ['Oyster Mushroom Wonton and Lemongrass Soup', 'https://olivesfordinner.com/2012/06/oyster-mushroom-wonton-and-lemongrass.html', 'https://olivesfordinner.com/wp-content/uploads/2012/06/7382263230_d73039a21b-320x320.jpg'], ['Black Lentil, Pistachio and Shiitake Mushroom Burger', 'https://olivesfordinner.com/2012/05/black-lentil-pistachio-and-shiitake.html', 'https://olivesfordinner.com/wp-content/uploads/2012/05/7289963524_945a2a56b9-320x320.jpg'], ['Black Pepper and Thyme Crusted Tofu', 'https://olivesfordinner.com/2012/05/black-pepper-and-thyme-crusted-tofu.html', 'https://olivesfordinner.com/wp-content/uploads/2012/05/7237306376_63d9934023-320x320.jpg'], ['Spicy Jackfruit Salad', 'https://olivesfordinner.com/2012/05/spicy-jackfruit-salad.html', 'https://olivesfordinner.com/wp-content/uploads/2012/05/7183288902_62c2826f8d-320x320.jpg'], ['Vegan Sushi: Faux-Roe Gunkanmaki with Pickled Daikon', 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'https://olivesfordinner.com/wp-content/uploads/2012/03/6847432936_61d6d916a1_z-320x320.jpg'], ['Garlic-Sriracha Vegan Buffalo Wings', 'https://olivesfordinner.com/2012/03/garlic-sriracha-vegan-buffalo-wings.html', 'https://olivesfordinner.com/wp-content/uploads/2012/03/6973941693_4db60198cb_z-320x320.jpg'], ['Molecular Vegan: Scallops with Carrot-Ginger Caviar', 'https://olivesfordinner.com/2012/02/molecular-vegan-scallops-with-carro.html', 'https://olivesfordinner.com/wp-content/uploads/2012/02/6786920836_eb7688d3fd_z-320x320.jpg'], ['Galangal Tofu with Lemongrass-Scented Broth', 'https://olivesfordinner.com/2012/02/galangal-tofu-with-lemongrass-scented.html', 'https://olivesfordinner.com/wp-content/uploads/2012/02/6866617493_299419355a_z-320x320.jpg'], ['Vegan Macaroni and Cheese', 'https://olivesfordinner.com/2012/02/vegan-macaroni-and-cheese.html', 'https://olivesfordinner.com/wp-content/uploads/2012/02/6864169847_3f2925df44_z-320x320.jpg'], ['Portabello and Shallot Ravioli with Toasted Walnuts', 'https://olivesfordinner.com/2012/01/portabello-and-shallot-ravioli-wi.html', 'https://olivesfordinner.com/wp-content/uploads/2012/01/6784743515_db35f73545_z-320x320.jpg'], ['Ginger-Garlic Tofu with Fiery Chili Oil', 'https://olivesfordinner.com/2012/01/ginger-garlic-tofu-with-fiery-chili-oi.html', 'https://olivesfordinner.com/wp-content/uploads/2012/01/6745971851_5d4457be90_z-320x320.jpg'], ['Spicy Shiitake Mushroom Roll', 'https://olivesfordinner.com/2011/12/spicy-shiitake-mushroom-ro.html', 'https://olivesfordinner.com/wp-content/uploads/2011/12/6489807867_ce5d312d01_z-320x320.jpg'], ['Black Bean and Corn Quesadillas with Smoked Paprika', 'https://olivesfordinner.com/2011/12/black-bean-and-corn-quesadillas-wi.html', 'https://olivesfordinner.com/wp-content/uploads/2011/12/6405288727_73a635e8d3_z-320x320.jpg'], ['Spicy Pumpkin Soup with Lemongrass and Coconut Milk', 'https://olivesfordinner.com/2011/11/spicy-pumpkin-soup-with-lemongrass-and.html', 'https://olivesfordinner.com/wp-content/uploads/2011/11/6370959129_cc4e826b6e_z-320x320.jpg'], ['Seitan Roulade with Sage and Sweet Onion Stuffing', 'https://olivesfordinner.com/2011/11/seitan-roulade-with-sage-and-swee.html', 'https://olivesfordinner.com/wp-content/uploads/2011/11/6338385248_d552579dd6_z-320x320.jpg'], ['Grilled Tofu with Lemongrass and Cilantro Stuffing', 'https://olivesfordinner.com/2011/10/grilled-tofu-with-lemongrass-and.html', 'https://olivesfordinner.com/wp-content/uploads/2011/10/6251395078_631e498749-320x320.jpg'], ['Sriracha-Habanero Vegan Buffalo Wings', 'https://olivesfordinner.com/2013/01/sriracha-habanero-vegan-buffalo-wings.html', 'https://olivesfordinner.com/wp-content/uploads/2013/01/8335188506_7e166e2f61_z-1-320x320.jpg'], ['Faux Fish and Real Chips', 'https://olivesfordinner.com/2011/10/faux-fish-and-real-chips.html', 'https://olivesfordinner.com/wp-content/uploads/2011/10/6205471514_3aebc3ce03-320x320.jpg'], ['Sriracha and Peanut Butter Tofu', 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Spicy+Savory Sauce)', 'https://olivesfordinner.com/2021/01/vegan-mapo-tofu-braised-tofu-in-a-spicysavory-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2021/01/Vegan-Mapo-Tofu-cover-320x320.jpg'], ['Thai-Style Coconut + Crabless Soup', 'https://olivesfordinner.com/2021/01/thai-style-coconut-crabless-soup.html', 'https://olivesfordinner.com/wp-content/uploads/2021/01/Thai-Style-Coconut-Crabless-Soup-cover-320x320.jpg'], ['French Onion and Seitan Ramen', 'https://olivesfordinner.com/2021/01/french-onion-and-seitan-ramen.html', 'https://olivesfordinner.com/wp-content/uploads/2021/01/vegan-ramen-cover-shot-320x320.jpg'], ['Lobster Mushroom Tempura, Avocado and Kimchi+Mayo Sushi Rolls', 'https://olivesfordinner.com/2020/12/lobster-mushroom-tempura-avocado-and-kimchimayo-sushi-rolls.html', 'https://olivesfordinner.com/wp-content/uploads/2020/12/Lobster-Mushroom-Tempura-Sushi-Rolls-cover-dec-320x320.jpg'], ['Easy Focaccia', 'https://olivesfordinner.com/2020/12/easy-focaccia.html', 'https://olivesfordinner.com/wp-content/uploads/2020/12/focaccia-cover-1-320x320.jpg'], ['How to Make Homemade Ravioli', 'https://olivesfordinner.com/2020/11/how-to-make-homemade-ravioli.html', 'https://olivesfordinner.com/wp-content/uploads/2020/11/How-to-Make-Homemade-Ravioli-320x320.jpg'], ['Bang Bang Cauliflower Tacos', 'https://olivesfordinner.com/2020/09/bang-bang-cauliflower-tacos.html', 'https://olivesfordinner.com/wp-content/uploads/2020/08/Bang-Bang-Taco-cover-320x320.jpg'], ['Sweet Potato, Barley + Bean Burgers with Sloppy Sauce', 'https://olivesfordinner.com/2020/07/sweet-potato-barley-bean-burgers-with-sloppy-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2020/07/Sweet-Potato-Barley-Bean-Burgers-with-sloppy-Sauce-cover-320x320.jpg'], ['Crispy Filet No Fish', 'https://olivesfordinner.com/2020/06/crispy-filet-no-fish.html', 'https://olivesfordinner.com/wp-content/uploads/2020/06/Filet-No-Fish-cover-2-320x320.jpg'], ['Sweet Potato and Kidney Bean Smothered Burritos', 'https://olivesfordinner.com/2020/05/sweet-potato-and-kidney-bean-smothered-burritos.html', 'https://olivesfordinner.com/wp-content/uploads/2020/05/Smothered-Burrito-cover-320x320.jpg'], ['Spicy Garlic Tofu, https://www.pickuplimes.com/recipe/spicy-garlic-tofu-3, https://cdn.pickuplimes.com/cache/9c/9f/9c9f13ad4a9ef78bd0f2a9eae20547e3.jpg'], ['Buffalo Style Tofu Strips, https://www.pickuplimes.com/recipe/buffalo-style-tofu-strips-4, https://cdn.pickuplimes.com/cache/a1/30/a1307710aaf6c5babcb4a306339fa499.jpg'], ['Oven Roasted Sweet Potato & Tofu Veggie Skewers, https://www.pickuplimes.com/recipe/oven-roasted-sweet-potato-tofu-veggie-skewers-1, https://cdn.pickuplimes.com/cache/64/e7/64e73b49fe995bffa331e62f55c939bc.jpg'], ['Homemade Vegan Kimchi, https://www.pickuplimes.com/recipe/homemade-vegan-kimchi-9, https://cdn.pickuplimes.com/cache/cf/62/cf621ccd83ef84a81356d3c8860a6e81.jpg'], ['Herb & Garlic Homemade Vegan Naan, https://www.pickuplimes.com/recipe/herb-garlic-homemade-vegan-naan-64, https://cdn.pickuplimes.com/cache/ab/b4/abb4898bbd62c92714b560dad2dff577.jpg'], ['Baked Zucchini Fries with Two Dips, https://www.pickuplimes.com/recipe/baked-zucchini-fries-with-two-dips-70, https://cdn.pickuplimes.com/cache/64/1c/641cf5625fcaa58d861cbe7fffc868c3.jpg'], ['Sweet & Spicy Miso Roasted Sweet Potatoes with Sambal Tahini Mayo, https://www.pickuplimes.com/recipe/sweet-spicy-miso-roasted-sweet-potatoes-with-sambal-tahini-mayo-68, https://cdn.pickuplimes.com/cache/0a/1e/0a1e1b756c5256e0abb6675e90539e5d.jpg'], ['Seaweed Baked Fries with Hoisin Mayo & Sriracha Mayo, https://www.pickuplimes.com/recipe/seaweed-baked-fries-with-hoisin-mayo-sriracha-mayo-66, https://cdn.pickuplimes.com/cache/15/f0/15f001c3b4c39c530786256eb3126e9d.jpg'], ['Loaded Chili Sweet Potato Fries, https://www.pickuplimes.com/recipe/loaded-chili-sweet-potato-fries-65, https://cdn.pickuplimes.com/cache/92/b3/92b3936f77ff25b46e427245e15ecf04.jpg'], ['Crispy Oven-Roasted Sweet Potato Fries, https://www.pickuplimes.com/recipe/crispy-oven-roasted-sweet-potato-fries-78, https://cdn.pickuplimes.com/cache/13/0c/130c1e0c73485016f13837568eb33eaf.jpg'], ['Ranch Roasted Potato Wedges, https://www.pickuplimes.com/recipe/ranch-roasted-potato-wedges-142, https://cdn.pickuplimes.com/cache/82/9c/829c7334b8631856007d1f05d658129e.jpg'], ['Roasted Potatoes, https://www.pickuplimes.com/recipe/roasted-potatoes-144, https://cdn.pickuplimes.com/cache/ed/2c/ed2c6b4e244c276620f85f326eb6433a.jpg'], ['Sushi Rice, https://www.pickuplimes.com/recipe/sushi-rice-168, https://cdn.pickuplimes.com/cache/68/8b/688badd22d3b4ac1a057b9512e266a15.jpg'], ['Zucchini Rolls with Vegan Ricotta Cheese, https://www.pickuplimes.com/recipe/zucchini-rolls-with-vegan-ricotta-cheese-181, https://cdn.pickuplimes.com/cache/17/8a/178a338a01abec07f8107eb0a5d8f11b.jpg'], ['Vegan Tofu Chorizo, https://www.pickuplimes.com/recipe/vegan-tofu-chorizo-205, https://cdn.pickuplimes.com/cache/e7/c2/e7c2a733c0d8aaa269500ec71c3af072.jpg'], ['Protein-Packed Lentil & Quinoa Salad, https://www.pickuplimes.com/recipe/protein-packed-lentil-quinoa-salad-208, https://cdn.pickuplimes.com/cache/15/04/1504d4ea2b07ba79258a82cc030ddbc3.jpg'], ['Quinoa & Red Lentil Stuffed Sweet Potatoes, https://www.pickuplimes.com/recipe/quinoa-red-lentil-stuffed-sweet-potatoes-243, https://cdn.pickuplimes.com/cache/aa/c4/aac41bf2fb65d098acd6c69289030af6.jpg'], ['Brown Rice Miso Salad, https://www.pickuplimes.com/recipe/brown-rice-miso-salad-218, https://cdn.pickuplimes.com/cache/53/37/53377f3955ff8accf7363016ae77b34d.jpg'], ['Baked Dill Falafels, https://www.pickuplimes.com/recipe/baked-dill-falafels-225, https://cdn.pickuplimes.com/cache/6f/b0/6fb0b1590a306754de5c341f60e5f3dd.jpg'], ['Dill Pasta Salad with a Tahini Dressing, https://www.pickuplimes.com/recipe/dill-pasta-salad-with-a-tahini-dressing-267, https://cdn.pickuplimes.com/cache/17/fb/17fbfa1b010ba0135be4c8cff6188358.jpg'], ['Creamy Coleslaw with Tahini Dijon Dressing, https://www.pickuplimes.com/recipe/creamy-coleslaw-with-tahini-dijon-dressing-280, https://cdn.pickuplimes.com/cache/8c/99/8c998c4727043752bd1a1ba298b5000b.jpg'], ['Beetroot & Red Cabbage Sauerkraut, https://www.pickuplimes.com/recipe/beetroot-red-cabbage-sauerkraut-281, https://cdn.pickuplimes.com/cache/d2/30/d2306b343c15e9def90ab66418ef4116.jpg'], ['Warm Lentil & Potato Salad, https://www.pickuplimes.com/recipe/warm-lentil-potato-salad-300, https://cdn.pickuplimes.com/cache/ed/8c/ed8ce962058ba56ecd6e3c8616465e7c.jpg'], ['Potato Crisps with Creamy Dill Dip, https://www.pickuplimes.com/recipe/potato-crisps-with-creamy-dill-dip-302, https://cdn.pickuplimes.com/cache/e0/e9/e0e9fc98f352d10d017ef791175ed29a.jpg'], ['Coconut Thai Green Curry Noodle Soup, https://www.pickuplimes.com/recipe/coconut-thai-green-curry-noodle-soup-377, https://cdn.pickuplimes.com/cache/53/e8/53e89e4f540d2b815e2c661693ee3085.jpg'], ['One-Pot Golden Red Lentil and Mushroom Curry Soup, https://www.pickuplimes.com/recipe/one-pot-golden-red-lentil-and-mushroom-curry-soup-375, https://cdn.pickuplimes.com/cache/23/38/2338263f32972e4df27253106a3c0e50.jpg'], ['Peanut Butter Curry Soup, https://www.pickuplimes.com/recipe/peanut-butter-curry-soup-97, https://cdn.pickuplimes.com/cache/d7/89/d789fef1057ff95baf9973dc21f551db.jpg'], ['Crispy Croutons, https://www.pickuplimes.com/recipe/crispy-croutons-96, https://cdn.pickuplimes.com/cache/55/d0/55d0c851ede5e28e2fd461c0015cbae3.jpg'], ['Roasted Vegetable Harvest Soup, https://www.pickuplimes.com/recipe/roasted-vegetable-harvest-soup-95, https://cdn.pickuplimes.com/cache/7e/e0/7ee0e714e3f739b264d2861d99438059.jpg'], ['One-Pot Veggie Lentil Soup, https://www.pickuplimes.com/recipe/one-pot-veggie-lentil-soup-94, https://cdn.pickuplimes.com/cache/f5/82/f582268ae361a5b375c35cdf084fbe9f.jpg'], ['Borscht Soup, https://www.pickuplimes.com/recipe/borscht-soup-93, https://cdn.pickuplimes.com/cache/aa/c4/aac446ea0f7ee2f512b2c7e851591993.jpg'], ['Green Pea Soup, https://www.pickuplimes.com/recipe/green-pea-soup-92, https://cdn.pickuplimes.com/cache/ee/9d/ee9dc2a116fa7f9b5a4f774239d09d20.jpg'], ['White Asparagus & Potato Soup, https://www.pickuplimes.com/recipe/white-asparagus-potato-soup-149, https://cdn.pickuplimes.com/cache/83/f0/83f008c20089b9454f96850e0b3d39d3.jpg'], ['To-Go Miso Noodle Soup, https://www.pickuplimes.com/recipe/to-go-miso-noodle-soup-171, https://cdn.pickuplimes.com/cache/13/d4/13d4d28182a330de98d8671bcb3ca12d.jpg'], ['Thai Red Curry Noodle Soup with Crispy Tofu, https://www.pickuplimes.com/recipe/thai-red-curry-noodle-soup-with-crispy-tofu-175, https://cdn.pickuplimes.com/cache/83/8a/838a9bb7db57ae234505816bc06db22f.jpg'], ['One-Pot Lasagna Soup, https://www.pickuplimes.com/recipe/one-pot-lasagna-soup-184, https://cdn.pickuplimes.com/cache/e1/1d/e11da20477208c0f830f6d35944c704a.jpg'], ['Creamy Coconut Paprika Zucchini Soup, https://www.pickuplimes.com/recipe/creamy-coconut-paprika-zucchini-soup-191, https://cdn.pickuplimes.com/cache/83/03/83032368b6546a850bcbe5bf47b1a2c6.jpg'], ['Curry Lentil Soup, https://www.pickuplimes.com/recipe/curry-lentil-soup-241, https://cdn.pickuplimes.com/cache/6b/d9/6bd9891c6fa47cc12c9d87b3272c8cc9.jpg'], ['Vegan Pho - Vietnamese Noodle Soup, https://www.pickuplimes.com/recipe/vegan-pho-vietnamese-noodle-soup-258, https://cdn.pickuplimes.com/cache/90/3c/903c1ef58713599a7a3ed6c14c256e69.jpg'], ['Creamy Beetroot & Sweet Potato Soup, https://www.pickuplimes.com/recipe/creamy-beetroot-sweet-potato-soup-260, https://cdn.pickuplimes.com/cache/1b/d5/1bd565ec88ba59ec5c7ad74c7cbe4f7e.jpg'], ['Curried Carrot & Potato Soup, https://www.pickuplimes.com/recipe/curried-carrot-potato-soup-266, https://cdn.pickuplimes.com/cache/fc/b0/fcb0666a4071a8f90b9b2334b81c8789.jpg'], ['Coconut Curry Roasted Squash Soup, https://www.pickuplimes.com/recipe/coconut-curry-roasted-squash-soup-271, https://cdn.pickuplimes.com/cache/d0/7d/d07d61c7085554ca3724e6fe54d041c1.jpg'], ['Cream of Mushroom & Potato Soup, https://www.pickuplimes.com/recipe/cream-of-mushroom-potato-soup-283, https://cdn.pickuplimes.com/cache/e5/54/e554acb3a706b014f6ecc582193621c2.jpg'], ['Sweet Potato & Zucchini Soup, https://www.pickuplimes.com/recipe/sweet-potato-zucchini-soup-285, https://cdn.pickuplimes.com/cache/69/63/6963b656badb6a1fe77efbe778895963.jpg'], ['Turkish Red Lentil Soup, https://www.pickuplimes.com/recipe/turkish-red-lentil-soup-26, https://cdn.pickuplimes.com/cache/09/f9/09f97c231822621adeb89792c99e094e.jpg'], ['Easy Bulgur Salad in a Jar, https://www.pickuplimes.com/recipe/easy-bulgur-salad-in-a-jar-10, https://cdn.pickuplimes.com/cache/8f/dc/8fdcd4ee953efb0468319a0c7ead9e2a.jpg'], ['Spiced Black Bean & Rice Salad in a Jar, https://www.pickuplimes.com/recipe/spiced-black-bean-rice-salad-in-a-jar-11, https://cdn.pickuplimes.com/cache/fd/60/fd606e0af7c1aff85d27e893ec9637f7.jpg'], ['Quinoa Salad with Roasted Garlic Dressing, https://www.pickuplimes.com/recipe/quinoa-salad-with-roasted-garlic-dressing-129, https://cdn.pickuplimes.com/cache/ee/95/ee95277ccaf3ee618ae427dd1ac84eea.jpg'], ['Bold & Filling Lentil Taco Salad, https://www.pickuplimes.com/recipe/bold-filling-lentil-taco-salad-135, https://cdn.pickuplimes.com/cache/d6/72/d672bf6f158d745737f4f81bca1785c3.jpg'], ['Chorizo Taco Salad Bowl, https://www.pickuplimes.com/recipe/chorizo-taco-salad-bowl-204, https://cdn.pickuplimes.com/cache/72/27/72278a91ccb69cd17084d4882eccc8bb.jpg'], ['Protein-Packed Lentil & Quinoa Salad, https://www.pickuplimes.com/recipe/protein-packed-lentil-quinoa-salad-208, https://cdn.pickuplimes.com/cache/15/04/1504d4ea2b07ba79258a82cc030ddbc3.jpg'], ['Massaged Umami Kale Salad, https://www.pickuplimes.com/recipe/massaged-umami-kale-salad-237, https://cdn.pickuplimes.com/cache/dc/2d/dc2dee08b92225470022f90ffea682fd.jpg'], ['Sweet Lime Summer Fruit Salad, https://www.pickuplimes.com/recipe/sweet-lime-summer-fruit-salad-216, https://cdn.pickuplimes.com/cache/55/4f/554fcf65fb4a9fd85aecf1bce6540d65.jpg'], ['Brown Rice Miso Salad, https://www.pickuplimes.com/recipe/brown-rice-miso-salad-218, https://cdn.pickuplimes.com/cache/53/37/53377f3955ff8accf7363016ae77b34d.jpg'], ['Dill Pasta Salad with a Tahini Dressing, https://www.pickuplimes.com/recipe/dill-pasta-salad-with-a-tahini-dressing-267, https://cdn.pickuplimes.com/cache/17/fb/17fbfa1b010ba0135be4c8cff6188358.jpg'], ['Beetroot Quinoa Salad with an Orange Ginger Dressing, https://www.pickuplimes.com/recipe/beetroot-quinoa-salad-with-an-orange-ginger-dressing-278, https://cdn.pickuplimes.com/cache/ad/ab/adabb18ab0ed27ae84c6f441f22b226a.jpg'], ['Creamy Coleslaw with Tahini Dijon Dressing, https://www.pickuplimes.com/recipe/creamy-coleslaw-with-tahini-dijon-dressing-280, https://cdn.pickuplimes.com/cache/8c/99/8c998c4727043752bd1a1ba298b5000b.jpg'], ['Cauliflower and Mushroom Curry', 'https://olivesfordinner.com/2020/05/cauliflower-and-mushroom-curry.html', 'https://olivesfordinner.com/wp-content/uploads/2020/05/Cauliflower-and-Mushroom-Curry-cover-320x320.jpg'], ['Easy Homemade Pizza Dough', 'https://olivesfordinner.com/2020/04/easy-homemade-pizza-dough.html', 'https://olivesfordinner.com/wp-content/uploads/2020/04/2-ingredient-pizza-dough-320x320.jpg'], ['Social Distancing Soup', 'https://olivesfordinner.com/2020/04/social-distancing-soup.html', 'https://olivesfordinner.com/wp-content/uploads/2020/04/social-distancing-soup-cover-320x320.jpg'], ['The Best Buffalo Cauliflower | Crispy + Spicy + Air Fried!', 'https://olivesfordinner.com/2019/11/the-best-buffalo-cauliflower-crispy-spicy-air-fried.html', 'https://olivesfordinner.com/wp-content/uploads/2019/11/Olives-for-Dinner-The-Best-Buffalo-Cauliflower-cover-320x320.jpg'], ['Oyster Mushroom Tacos with Chipotle + Lime Sauce', 'https://olivesfordinner.com/2019/08/oyster-mushroom-tacos-with-chipotle-lime-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2019/08/Oyster-Mushroom-Tacos-cover-320x320.jpg'], ['Vegan Lox', 'https://olivesfordinner.com/2019/08/vegan-lox.html', 'https://olivesfordinner.com/wp-content/uploads/2019/08/Carrot-Lox-cover-320x320.jpg'], ['Red Lentil Fritters with Mint-Garlic Yogurt Sauce', 'https://olivesfordinner.com/2019/07/red-lentil-fritters-with-mint-garlic-yogurt-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2019/07/Olives-for-Dinner-Red-Lentil-Fritters-cover-320x320.jpg'], ['Tofu Satay with Spicy Peanut Sauce', 'https://olivesfordinner.com/2019/07/tofu-satay-with-spicy-peanut-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2019/07/Grilled-Tofu-with-Peanut-Sauce-cover-320x320.jpg'], ['Vegan Reuben with Mandolined Portobello', 'https://olivesfordinner.com/2019/04/vegan-reuben-with-mandolined-portobello.html', 'https://olivesfordinner.com/wp-content/uploads/2019/04/Vegan-Reuben-cover-320x320.jpg'], ['Deep-fried Jackfruit with Garlicky-Dill Mayo', 'https://olivesfordinner.com/2019/04/deep-fried-jackfruit-with-garlicky-dill-mayo.html', 'https://olivesfordinner.com/wp-content/uploads/2019/04/Deep-fried-Jackfruit-cover-320x320.jpg'], ['Cauliflower Puree with Roasted Mushrooms and Caramelized Onions', 'https://olivesfordinner.com/2019/03/cauliflower-puree-with-roasted-mushrooms-and-caramelized-onions.html', 'https://olivesfordinner.com/wp-content/uploads/2019/03/Olives-for-Dinner-Cauliflower-Puree-with-Roasted-Mushrooms-and-Caramelized-Onions-320x320.jpg'], ['Bang Bang Tofu Taco Bowl', 'https://olivesfordinner.com/2019/02/bang-bang-tofu-taco-bowl.html', 'https://olivesfordinner.com/wp-content/uploads/2019/02/Bang-Bang-Tofu-Taco-Bowl-cover-320x320.jpg'], ['Pasta with Roasted Red Pepper Sauce and Caramelized Shallots', 'https://olivesfordinner.com/2012/08/pasta-with-roasted-red-pepper-sauce-and.html', 'https://olivesfordinner.com/wp-content/uploads/2012/08/7762912426_494a4743ce_z-320x320.jpg'], ['Toasted Farro with Roasted Shiitake, Shallots and Pine Nuts', 'https://olivesfordinner.com/2018/11/toasted-farro-with-roasted-shiitake-shallots-and-pine-nuts.html', 'https://olivesfordinner.com/wp-content/uploads/2018/11/Toasted-Farro-with-Roasted-Shiitake-Shallots-and-Pine-Nuts-cover-320x320.jpg'], ['Sambal + Ginger Tofu with Air-Fried Bok Choy', 'https://olivesfordinner.com/2018/10/sambal-ginger-tofu-with-air-fried-bok-choy.html', 'https://olivesfordinner.com/wp-content/uploads/2018/10/Sambal-Ginger-Tofu-with-Air-Fried-Bok-Choy-_-cover-320x320.jpg'], ['Roasted Parsnip, Cauliflower + Garlic Soup', 'https://olivesfordinner.com/2018/10/roasted-parsnip-cauliflower-garlic-soup.html', 'https://olivesfordinner.com/wp-content/uploads/2018/10/Roasted-Parsnip-Cauliflower-Garlic-Soup-cover-320x320.jpg'], ['Riced Cauliflower + Pressed Portos', 'https://olivesfordinner.com/2018/09/riced-cauliflower-pressed-portos.html', 'https://olivesfordinner.com/wp-content/uploads/2018/09/Riced-Cauliflower-Pressed-Porto-cover-320x320.jpg'], ['Farro + Beet Burgers with Kimchi Mayo', 'https://olivesfordinner.com/2018/09/farro-beet-burgers-with-kimchi-mayo.html', 'https://olivesfordinner.com/wp-content/uploads/2018/09/Farro-Beet-Burgers-13236-320x320.jpg'], ['Firecracker Cauliflower', 'https://olivesfordinner.com/2018/08/firecracker-cauliflower.html', 'https://olivesfordinner.com/wp-content/uploads/2018/08/Firecracker-Cauliflower-cover-320x320.jpg'], ['Vegan Egg Drop Soup', 'https://olivesfordinner.com/2018/08/vegan-egg-drop-soup.html', 'https://olivesfordinner.com/wp-content/uploads/2018/08/Vegan-Eggdrop-cover-320x320.jpg'], ['Seitan Bourguignon', 'https://olivesfordinner.com/2018/01/seitan-bourguignon.html', 'https://olivesfordinner.com/wp-content/uploads/2018/01/Seitan-Bourginon-cover1-320x320.jpg'], ['Quick + Easy Focaccia Pizza', 'https://olivesfordinner.com/2018/01/quick-easy-focaccia-pizza.html', 'https://olivesfordinner.com/wp-content/uploads/2018/01/Focaccia-cover-320x320.jpg'], ['New England Vegan Chowder', 'https://olivesfordinner.com/2017/12/new-england-vegan-chowder.html', 'https://olivesfordinner.com/wp-content/uploads/2017/12/New-England-Vegan-Chowder-cover-320x320.jpg'], ['Coconut-Chickpea Crepes with Smoky Herbed Mushrooms', 'https://olivesfordinner.com/2013/02/coconut-chickpea-crepes-with-smoky.html', 'https://olivesfordinner.com/wp-content/uploads/2013/02/8455834235_7bfba45015_z-320x320.jpg'], ['Vegan Scallops in a Bacon-Cashew Cream Sauce', 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'https://olivesfordinner.com/wp-content/uploads/2013/10/9886909214_1a4a7510ab_z-320x320.jpg'], ['Vegan Tuna Salad', 'https://olivesfordinner.com/2013/10/vegan-tuna-salad.html', 'https://olivesfordinner.com/wp-content/uploads/2013/10/10370170004_c010d3a743_o-320x320.jpg'], ['Quick and Easy Fragrant Coconut Soup', 'https://olivesfordinner.com/2013/10/quick-and-easy-fragrant-coconut-soup.html', 'https://olivesfordinner.com/wp-content/uploads/2013/10/10005529404_41114c01d5_z-320x320.jpg'], ['Panisse with Garlic-Ginger Sauce', 'https://olivesfordinner.com/2013/09/panisse-with-garlic-ginger-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2013/09/9824246796_06a9bf4e84_z-320x320.jpg'], ['Shiitake Nigiri', 'https://olivesfordinner.com/2013/09/shiitake-nigiri.html', 'https://olivesfordinner.com/wp-content/uploads/2013/09/eelcropped1-320x320.jpg'], ['Hearts of Palm Crab Cakes', 'https://olivesfordinner.com/2013/09/hearts-of-palm-crab-cakes.html', 'https://olivesfordinner.com/wp-content/uploads/2013/09/9489200230_b25a587ca4_z-320x320.jpg'], ['Quick and Easy Carrot-Ginger Tofu', 'https://olivesfordinner.com/2013/09/quick-and-easy-carrot-ginger-tofu.html', 'https://olivesfordinner.com/wp-content/uploads/2013/09/9704514050_96a7646c51_z-320x320.jpg'], ['Green Lentil, Pistachio and Walnut Fauxlafel', 'https://olivesfordinner.com/2013/09/green-lentil-pistachio-and-walnu.html', 'https://olivesfordinner.com/wp-content/uploads/2013/09/8999832064_98efa1b8ea_z-320x320.jpg'], ['Vegan Scallops with Pea Puree and Watercress', 'https://olivesfordinner.com/2013/09/vegan-scallops-with-pea-puree-and.html', 'https://olivesfordinner.com/wp-content/uploads/2013/09/9499486405_a84cbab602_z-320x320.jpg'], ['Easy Overnight Crockpot Oatmeal', 'https://olivesfordinner.com/2011/12/easy-overnight-crockpot-oatmea.html', 'https://olivesfordinner.com/wp-content/uploads/2011/12/6454925599_1a5f5946fa_z-320x320.jpg'], ['Jackfruit Soft Tacos', 'https://olivesfordinner.com/2013/08/jackfruit-soft-tacos.html', 'https://olivesfordinner.com/wp-content/uploads/2013/08/9539382971_352c7d72a8_z-320x320.jpg'], ['Farro Crab Cakes', 'https://olivesfordinner.com/2013/08/farro-crab-cakes.html', 'https://olivesfordinner.com/wp-content/uploads/2013/08/9480782318_360b947023_z-320x320.jpg'], ['Tofu with General Tso’s Sauce', 'https://olivesfordinner.com/2013/07/tofu-with-general-tsos-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2013/07/9287074976_d03c30e8f2_z-320x320.jpg'], ['Sambal Seitan Skewers', 'https://olivesfordinner.com/2013/07/sambal-seitan-skewers.html', 'https://olivesfordinner.com/wp-content/uploads/2013/07/9223979993_d60294d84d_z-320x320.jpg'], ['Vegan Crab Rangoon', 'https://olivesfordinner.com/2013/06/vegan-crab-rangoon.html', 'https://olivesfordinner.com/wp-content/uploads/2013/06/9175256982_e66acedacb_z-320x320.jpg'], ['Quick and Easy Tofu with Ramen Noodles', 'https://olivesfordinner.com/2013/06/quick-and-easy-tofu-with-ramen-noodles.html', 'https://olivesfordinner.com/wp-content/uploads/2013/06/9063055880_7247de15fd_z-320x320.jpg'], ['Sweet Potato, Farro and Walnut Burgers with Homemade Pickles', 'https://olivesfordinner.com/2013/06/sweet-potato-farro-and-walnut-burgers.html', 'https://olivesfordinner.com/wp-content/uploads/2013/06/9051266379_2945ce81ff_z-320x320.jpg'], ['Fresh Spring Rolls with Soy Curls, Mango and Mint', 'https://olivesfordinner.com/2013/06/fresh-spring-rolls-with-soy-curls-mango.html', 'https://olivesfordinner.com/wp-content/uploads/2013/06/AA4A3748-320x320.jpg'], ['Sesame Roasted Cauliflower with Sriracha-Vegenaise Dressing', 'https://olivesfordinner.com/2013/05/sesame-roasted-cauliflower-wi.html', 'https://olivesfordinner.com/wp-content/uploads/2013/05/8732183749_75abe9d9d4_z-320x320.jpg'], ['Red Quinoa and Sweet Potato Croquettes', 'https://olivesfordinner.com/2013/05/red-quinoa-and-sweet-potato-croquettes.html', 'https://olivesfordinner.com/wp-content/uploads/2013/05/8732186825_ab08084ec0_z-320x320.jpg'], ['Buffalo Chickpea Soft Tacos with Avocado Sour Cream', 'https://olivesfordinner.com/2013/05/buffalo-chickpea-soft-tacos-wi.html', 'https://olivesfordinner.com/wp-content/uploads/2013/05/8652263659_135227c089_z-320x320.jpg'], ['Sweet and Sticky Cashew Tofu', 'https://olivesfordinner.com/2013/04/sweet-and-sticky-cashew-tofu.html', 'https://olivesfordinner.com/wp-content/uploads/2013/04/8647185538_0fe8eeb9d7_z-320x320.jpg'], ['Farro + Beet Burgers with Kimchi Mayo', 'https://olivesfordinner.com/2018/09/farro-beet-burgers-with-kimchi-mayo.html', 'https://olivesfordinner.com/wp-content/uploads/2018/09/Farro-Beet-Burgers-13236-320x320.jpg'], ['Vegan Grilled Cheese with Shiitake Bacon and Tomato', 'https://olivesfordinner.com/2013/04/vegan-grilled-cheese-with-shiitake.html', 'https://olivesfordinner.com/wp-content/uploads/2013/04/8669439780_841b866c5e_z-320x320.jpg'], ['Glazed Tofu with Fiery Sriracha Pearls', 'https://olivesfordinner.com/2013/04/glazed-tofu-with-fiery-sriracha-pearls.html', 'https://olivesfordinner.com/wp-content/uploads/2013/04/8646152741_dff8613fc7_z-320x320.jpg'], ['Four Vegan Grilled Cheese Sandwiches', 'https://olivesfordinner.com/2013/04/four-vegan-grilled-cheese-sandwiches.html', 'https://olivesfordinner.com/wp-content/uploads/2013/04/IMG_3382-320x320.jpg'], ['Mint, Basil and Cilantro Udon Noodle Bowl', 'https://olivesfordinner.com/2013/04/mint-basil-and-cilantro-udon-noodle-bow.html', 'https://olivesfordinner.com/wp-content/uploads/2013/04/8614208893_90e8e16d04_z-320x320.jpg'], ['Pistachio-Crusted Tofu with Horseradish Cream', 'https://olivesfordinner.com/2013/03/pistachio-crusted-tofu-with-horseradis.html', 'https://olivesfordinner.com/wp-content/uploads/2013/03/8542590853_d4b66ecea0_z-320x320.jpg'], ['Homemade Vegan Sausage and Cheese Calzones', 'https://olivesfordinner.com/2013/03/homemade-vegan-sausage-and-cheese.html', 'https://olivesfordinner.com/wp-content/uploads/2013/03/8495059876_03242ab476_z-320x320.jpg'], ['Tofu and Shiitake Stack with Bok Choy-Ginger Puree', 'https://olivesfordinner.com/2013/03/tofu-and-shiitake-stack-with-bok-choy.html', 'https://olivesfordinner.com/wp-content/uploads/2013/03/8525187049_08c1c0e9c4_z-320x320.jpg'], ['Kale, Pearled Barley and Faux Roe Stack with Sweet Soy Glaze', 'https://olivesfordinner.com/2013/02/kale-pearled-barley-and-faux-roe-stack.html', 'https://olivesfordinner.com/wp-content/uploads/2013/02/8505006984_158bf7f337_z-320x320.jpg'], ['Maifun Noodles in a Toasted Sesame-Ginger Broth', 'https://olivesfordinner.com/2013/02/maifun-noodles-in-toasted-sesame-ginger.html', 'https://olivesfordinner.com/wp-content/uploads/2013/02/8478465251_74975b32fc_z-320x320.jpg'], ['Socca Pizza Crust with Caramelized Shallots and Kale', 'https://olivesfordinner.com/2013/02/socca-pizza-crust-with-caramelized.html', 'https://olivesfordinner.com/wp-content/uploads/2013/02/8446596405_1d37fa4f92_z-320x320.jpg'], ['Spicy Vegan Scallop Roll', 'https://olivesfordinner.com/2013/01/spicy-vegan-scallop-ro.html', 'https://olivesfordinner.com/wp-content/uploads/2013/01/8421544856_6542d6a4b3_z-320x320.jpg'], ['Vegan Reuben Sandwich', 'https://olivesfordinner.com/2013/01/vegan-reuben-sandwic.html', 'https://olivesfordinner.com/wp-content/uploads/2013/01/8395416871_c2e6155d3b_z-320x320.jpg'], ['Soft Pretzel Bites', 'https://olivesfordinner.com/2012/10/soft-pretzel-bites.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8076551157_4fd577e190_z-320x320.jpg'], ['Sriracha-Habanero Vegan Buffalo Wings', 'https://olivesfordinner.com/2013/01/sriracha-habanero-vegan-buffalo-wings.html', 'https://olivesfordinner.com/wp-content/uploads/2013/01/8335188506_7e166e2f61_z-1-320x320.jpg'], ['Easy Sesame Glazed Tofu', 'https://olivesfordinner.com/2013/01/easy-sesame-glazed-tofu.html', 'https://olivesfordinner.com/wp-content/uploads/2013/01/8326773028_c169becd58_z-320x320.jpg'], ['Sweet and Sour Crispy Mock Chicken Stir Fry', 'https://olivesfordinner.com/2012/12/sweet-and-sour-crispy-mock-chicken-stir.html', 'https://olivesfordinner.com/wp-content/uploads/2012/12/8279367354_b0f80b3b2d_z-320x320.jpg'], ['Vegan Palak Paneer', 'https://olivesfordinner.com/2012/12/vegan-palak-paneer.html', 'https://olivesfordinner.com/wp-content/uploads/2012/12/8258313683_3b2437bbd3_z-320x320.jpg'], ['Black Rice Noodles with Fresh Kale, Mint and Basil', 'https://olivesfordinner.com/2012/12/black-rice-noodles-with-fresh-kale-min.html', 'https://olivesfordinner.com/wp-content/uploads/2012/12/8255864336_008310cdd6_z-320x320.jpg'], ['Vegan French Onion Soup Sandwich', 'https://olivesfordinner.com/2012/12/vegan-french-onion-soup-sandwic.html', 'https://olivesfordinner.com/wp-content/uploads/2012/12/8235083245_0d2d4cb46a_z-320x320.jpg'], ['Vegan Pot Pie with Portobella, Green Garbanzo and Shallots', 'https://olivesfordinner.com/2012/11/vegan-pot-pie-with-portobella-green.html', 'https://olivesfordinner.com/wp-content/uploads/2012/11/8151769754_a15689bd03_z-320x320.jpg'], ['Sage Stuffing and Shiitake-Shallot Gravy', 'https://olivesfordinner.com/2012/11/sage-stuffing-and-shiitake-shallot-gravy.html', 'https://olivesfordinner.com/wp-content/uploads/2012/11/8196192203_461d3a4b8e_z-320x320.jpg'], ['Shallot and Shiitake Seitan Wellington', 'https://olivesfordinner.com/2012/11/shallot-and-shiitake-seitan-wellington.html', 'https://olivesfordinner.com/wp-content/uploads/2012/11/8176377771_bebfa1ab0d_z-320x320.jpg'], ['Protein-Happy Quinoa Wraps from Vegan Sandwiches Save the Day!', 'https://olivesfordinner.com/2012/11/protein-happy-quinoa-wraps-from-vegan.html', 'https://olivesfordinner.com/wp-content/uploads/2012/11/8155643856_4a48f6617a_z-320x320.jpg'], ['Tofu Tikka Masala', 'https://olivesfordinner.com/2012/10/tofu-tikka-masala.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8110173470_6644257513_z-320x320.jpg'], ['Vegan Scallops in a White Wine Cream Sauce over Pasta', 'https://olivesfordinner.com/2012/10/vegan-scallops-in-wine-wine-cream-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8106318112_c63658492a_z-320x320.jpg'], ['PPK Chocolate Chip Cookies', 'https://olivesfordinner.com/2011/04/ppk-chocolate-chip-cookies.html', 'https://olivesfordinner.com/wp-content/uploads/2011/04/5639003638_504f52bbf9-320x320.jpg'], ['White Bean and Mushroom Soup with Dill-Pepper Dumplings', 'https://olivesfordinner.com/2012/10/white-bean-and-mushroom-soup-with-di.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8087081755_464006e571_z-320x320.jpg'], ['Roasted Red Pepper Mac and Cheese', 'https://olivesfordinner.com/2012/10/roasted-red-pepper-mac-and-cheese.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8060234137_cfb80515f8_z-320x320.jpg'], ['Sesame-Ginger Soba Noodles', 'https://olivesfordinner.com/2012/10/sesame-ginger-soba-noodles.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8064732272_38b0391bfa_z-320x320.jpg'], ['Homemade Thai Sweet Chili Sauce with Fried Tofu', 'https://olivesfordinner.com/2012/10/homemade-thai-sweet-chili-sauce-wi.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8017588970_dd4a45740c-320x320.jpg'], ['Vegan Bacon-Wrapped Scallops with Paprika Cream Sauce', 'https://olivesfordinner.com/2012/10/vegan-bacon-wrapped-scallops-wi.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8044749163_c4e55e1c58_z-320x320.jpg'], ['Raw Tahini and Cashew Dressing', 'https://olivesfordinner.com/2012/09/raw-tahini-and-cashew-dressing.html', 'https://olivesfordinner.com/wp-content/uploads/2012/09/IMG_1464-320x320.jpg'], ['Vegan Grilled Cheese with Smoky Tomato Soup', 'https://olivesfordinner.com/2012/09/vegan-grilled-cheese-with-smoky-tomato.html', 'https://olivesfordinner.com/wp-content/uploads/2012/09/7993534714_73858b07d3-320x320.jpg'], ['Ratatouille (Confit Byaldi)', 'https://olivesfordinner.com/2012/09/ratatouille-confit-byaldi.html', 'https://olivesfordinner.com/wp-content/uploads/2012/09/12193750456_691804522f_c-320x320.jpg'], ['Cheese-Stuffed Homemade Ravioli with White Wine Sauce', 'https://olivesfordinner.com/2012/09/cheese-stuffed-homemade-ravioli-wi.html', 'https://olivesfordinner.com/wp-content/uploads/2012/09/7906875742_ab4cd8a52a-320x320.jpg'], ['Kale, Tofu and Cashew Stir-Fry with Cold Soba Noodles', 'https://olivesfordinner.com/2012/08/kale-tofu-and-cashew-stir-fry-with-cold.html', 'https://olivesfordinner.com/wp-content/uploads/2012/08/7883972382_e7373658bb-320x320.jpg'], ['Za’atar Tofu', 'https://olivesfordinner.com/2012/08/zaatar-tofu.html', 'https://olivesfordinner.com/wp-content/uploads/2012/08/7866869068_5cef523a33_z-320x320.jpg'], ['Savory Corn Pancakes with IKEA Vegan Caviar', 'https://olivesfordinner.com/2012/08/savory-corn-pancakes-with-ikea-vegan.html', 'https://olivesfordinner.com/wp-content/uploads/2012/08/7808905436_5fb2b5f1a8_z-320x320.jpg'], ['Savory + Seared Watermelon', 'https://olivesfordinner.com/2016/06/savoryseared-watermelon.html', 'https://olivesfordinner.com/wp-content/uploads/2016/05/watermelon-cover-320x320.jpg'], ['Grilled Sambal Oelek Tofu with Peanut Butter Sauce', 'https://olivesfordinner.com/2012/08/grilled-sambal-oelek-tofu-with-peanu.html', 'https://olivesfordinner.com/wp-content/uploads/2012/08/7768265260_78510a0aea_z-320x320.jpg'], ['Pasta with Roasted Red Pepper Sauce and Caramelized Shallots', 'https://olivesfordinner.com/2012/08/pasta-with-roasted-red-pepper-sauce-and.html', 'https://olivesfordinner.com/wp-content/uploads/2012/08/7762912426_494a4743ce_z-320x320.jpg'], ['Deep-Fried Vegan Mac and Cheese', 'https://olivesfordinner.com/2012/07/deep-fried-vegan-mac-and-cheese.html', 'https://olivesfordinner.com/wp-content/uploads/2012/07/7665545816_98fb6efe94-320x320.jpg'], ['Minted Red Quinoa, Fava Bean and Cashew Salad', 'https://olivesfordinner.com/2012/07/minted-red-quinoa-fava-bean-and-cashew.html', 'https://olivesfordinner.com/wp-content/uploads/2012/07/7622670174_b39801759b-320x320.jpg'], ['Gingerade Kombucha Caviar', 'https://olivesfordinner.com/2012/06/gingerade-kombucha-caviar.html', 'https://olivesfordinner.com/wp-content/uploads/2012/06/7426883562_bff8f197b4-320x320.jpg'], ['Oyster Mushroom Wonton and Lemongrass Soup', 'https://olivesfordinner.com/2012/06/oyster-mushroom-wonton-and-lemongrass.html', 'https://olivesfordinner.com/wp-content/uploads/2012/06/7382263230_d73039a21b-320x320.jpg'], ['Black Lentil, Pistachio and Shiitake Mushroom Burger', 'https://olivesfordinner.com/2012/05/black-lentil-pistachio-and-shiitake.html', 'https://olivesfordinner.com/wp-content/uploads/2012/05/7289963524_945a2a56b9-320x320.jpg'], ['Black Pepper and Thyme Crusted Tofu', 'https://olivesfordinner.com/2012/05/black-pepper-and-thyme-crusted-tofu.html', 'https://olivesfordinner.com/wp-content/uploads/2012/05/7237306376_63d9934023-320x320.jpg'], ['Spicy Jackfruit Salad', 'https://olivesfordinner.com/2012/05/spicy-jackfruit-salad.html', 'https://olivesfordinner.com/wp-content/uploads/2012/05/7183288902_62c2826f8d-320x320.jpg'], ['Vegan Sushi: Faux-Roe Gunkanmaki with Pickled Daikon', 'https://olivesfordinner.com/2012/04/vegan-sushi-faux-roe-gunkanmaki-with_16.html', 'https://olivesfordinner.com/wp-content/uploads/2012/04/6936157558_aaf4a19acb-320x320.jpg'], ['Steamed Tofu with Spicy Black Bean Sauce', 'https://olivesfordinner.com/2012/04/steamed-tofu-with-spicy-black-bean.html', 'https://olivesfordinner.com/wp-content/uploads/2012/04/7051589731_bbdc77e088-320x320.jpg'], ['Fresh Vegan Mozzarella Pizza', 'https://olivesfordinner.com/2012/03/fresh-vegan-mozzarella-pizza.html', 'https://olivesfordinner.com/wp-content/uploads/2012/03/7012328143_2537723fed_z-320x320.jpg'], ['Peppery Tofu with Chinese 5-Spice Powder and Black Bean Sauce', 'https://olivesfordinner.com/2014/01/peppery-tofu-with-chinese-5-spice.html', 'https://olivesfordinner.com/wp-content/uploads/2014/01/11609819593_f650d4e6b1_c-320x320.jpg'], ['Roasted Eggplant and Hummus Sandwich', 'https://olivesfordinner.com/2012/03/roasted-egglant-and-hummus-sandwic.html', 'https://olivesfordinner.com/wp-content/uploads/2012/03/6847432936_61d6d916a1_z-320x320.jpg'], ['Garlic-Sriracha Vegan Buffalo Wings', 'https://olivesfordinner.com/2012/03/garlic-sriracha-vegan-buffalo-wings.html', 'https://olivesfordinner.com/wp-content/uploads/2012/03/6973941693_4db60198cb_z-320x320.jpg'], ['Molecular Vegan: Scallops with Carrot-Ginger Caviar', 'https://olivesfordinner.com/2012/02/molecular-vegan-scallops-with-carro.html', 'https://olivesfordinner.com/wp-content/uploads/2012/02/6786920836_eb7688d3fd_z-320x320.jpg'], ['Galangal Tofu with Lemongrass-Scented Broth', 'https://olivesfordinner.com/2012/02/galangal-tofu-with-lemongrass-scented.html', 'https://olivesfordinner.com/wp-content/uploads/2012/02/6866617493_299419355a_z-320x320.jpg'], ['Vegan Macaroni and Cheese', 'https://olivesfordinner.com/2012/02/vegan-macaroni-and-cheese.html', 'https://olivesfordinner.com/wp-content/uploads/2012/02/6864169847_3f2925df44_z-320x320.jpg'], ['Portabello and Shallot Ravioli with Toasted Walnuts', 'https://olivesfordinner.com/2012/01/portabello-and-shallot-ravioli-wi.html', 'https://olivesfordinner.com/wp-content/uploads/2012/01/6784743515_db35f73545_z-320x320.jpg'], ['Ginger-Garlic Tofu with Fiery Chili Oil', 'https://olivesfordinner.com/2012/01/ginger-garlic-tofu-with-fiery-chili-oi.html', 'https://olivesfordinner.com/wp-content/uploads/2012/01/6745971851_5d4457be90_z-320x320.jpg'], ['Spicy Shiitake Mushroom Roll', 'https://olivesfordinner.com/2011/12/spicy-shiitake-mushroom-ro.html', 'https://olivesfordinner.com/wp-content/uploads/2011/12/6489807867_ce5d312d01_z-320x320.jpg'], ['Black Bean and Corn Quesadillas with Smoked Paprika', 'https://olivesfordinner.com/2011/12/black-bean-and-corn-quesadillas-wi.html', 'https://olivesfordinner.com/wp-content/uploads/2011/12/6405288727_73a635e8d3_z-320x320.jpg'], ['Spicy Pumpkin Soup with Lemongrass and Coconut Milk', 'https://olivesfordinner.com/2011/11/spicy-pumpkin-soup-with-lemongrass-and.html', 'https://olivesfordinner.com/wp-content/uploads/2011/11/6370959129_cc4e826b6e_z-320x320.jpg'], ['Seitan Roulade with Sage and Sweet Onion Stuffing', 'https://olivesfordinner.com/2011/11/seitan-roulade-with-sage-and-swee.html', 'https://olivesfordinner.com/wp-content/uploads/2011/11/6338385248_d552579dd6_z-320x320.jpg'], ['Grilled Tofu with Lemongrass and Cilantro Stuffing', 'https://olivesfordinner.com/2011/10/grilled-tofu-with-lemongrass-and.html', 'https://olivesfordinner.com/wp-content/uploads/2011/10/6251395078_631e498749-320x320.jpg'], ['Sriracha-Habanero Vegan Buffalo Wings', 'https://olivesfordinner.com/2013/01/sriracha-habanero-vegan-buffalo-wings.html', 'https://olivesfordinner.com/wp-content/uploads/2013/01/8335188506_7e166e2f61_z-1-320x320.jpg'], ['Faux Fish and Real Chips', 'https://olivesfordinner.com/2011/10/faux-fish-and-real-chips.html', 'https://olivesfordinner.com/wp-content/uploads/2011/10/6205471514_3aebc3ce03-320x320.jpg'], ['Sriracha and Peanut Butter Tofu', 'https://olivesfordinner.com/2011/09/sriracha-and-peanut-butter-tofu.html', 'https://olivesfordinner.com/wp-content/uploads/2011/09/6177319593_1790a4c72a-320x320.jpg'], ['Spicy Fava Bean Falafel', 'https://olivesfordinner.com/2011/09/spicy-fava-bean-falafe.html', 'https://olivesfordinner.com/wp-content/uploads/2011/09/6116560812_4e068eeb74-320x320.jpg'], ['Lemongrass and Garlic Stuffed Tofu', 'https://olivesfordinner.com/2011/08/lemongrass-and-garlic-stuffed-tofu.html', 'https://olivesfordinner.com/wp-content/uploads/2011/08/5995896848_e75fd561f1-320x320.jpg'], ['Minted Pea Soup with Cashew Cream and Basil Oil', 'https://olivesfordinner.com/2011/07/minted-pea-soup-with-cashew-cream-and.html', 'https://olivesfordinner.com/wp-content/uploads/2011/07/5901979517_8694056f1a_z-320x320.jpg'], ['Vegan Crab Cakes with Sriracha-Vegenaise Dressing', 'https://olivesfordinner.com/2011/06/vegan-crab-cakes-with-sriracha.html', 'https://olivesfordinner.com/wp-content/uploads/2011/06/5874981554_d77f709a58_z-320x320.jpg'], ['Simple Sauteed Tofu with Crispy Sesame Kale', 'https://olivesfordinner.com/2011/05/simple-sauteed-tofu-with-crispy-sesame.html', 'https://olivesfordinner.com/wp-content/uploads/2011/05/5773981218_9c803c3c7e_z-320x320.jpg'], ['Vegan French Onion Soup', 'https://olivesfordinner.com/2011/05/vegan-french-onion-soup.html', 'https://olivesfordinner.com/wp-content/uploads/2011/05/5750417424_685a60cc8c_z-320x320.jpg'], ['Lemongrass Tofu with Satay Sauce', 'https://olivesfordinner.com/2011/05/lemongrass-tofu-with-satay-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2011/05/5772886868_33b2b5f461_z-320x320.jpg'], ['Tempeh Reuben with Sriracha-Vegenaise Dressing', 'https://olivesfordinner.com/2011/04/tempeh-reuben-with-sriracha-vegenaise.html', 'https://olivesfordinner.com/wp-content/uploads/2011/04/5631338611_eb6d6dc5d0-320x320.jpg'], ['Vegan Clam Chowder', 'https://olivesfordinner.com/2011/04/vegan-clam-chowder.html', 'https://olivesfordinner.com/wp-content/uploads/2011/04/5610900417_d191a862c1-320x320.jpg'], ['Spinach, Mushroom and Soysage Tart', 'https://olivesfordinner.com/2011/04/spinach-mushroom-and-soysage-tar.html', 'https://olivesfordinner.com/wp-content/uploads/2011/04/5586726243_1c4cf386f6-320x320.jpg'], ['Raw Kale with Tofu Croutons and Pomegranate-Sesame Dressing', 'https://olivesfordinner.com/2011/03/raw-kale-with-tofu-croutons-and.html', 'https://olivesfordinner.com/wp-content/uploads/2011/03/8196256924_5a9c7eeaf4_z-320x320.jpg'], ['Chickpea Salad Sandwich', 'https://olivesfordinner.com/2011/04/chickpea-salad-sandwic.html', 'https://olivesfordinner.com/wp-content/uploads/2011/04/5587319628_af0b053223-320x320.jpg'], ['Raw Kale with Tofu Croutons and Pomegranate-Sesame Dressing', 'https://olivesfordinner.com/2011/03/raw-kale-with-tofu-croutons-and.html', 'https://olivesfordinner.com/wp-content/uploads/2011/03/8196256924_5a9c7eeaf4_z-320x320.jpg'], ['Minted Quinoa Spring Rolls with Toasted Cashews and Tahini', 'https://olivesfordinner.com/2011/03/minted-quinoa-spring-rolls-with-toasted.html', 'https://olivesfordinner.com/wp-content/uploads/2011/03/5507119039_254cb9c4dc-320x320.jpg'], ['Roasted Garlic Soup with Carmelized Shallots and Sage Croutons', 'https://olivesfordinner.com/2011/02/roasted-garlic-soup-with-carmelized.html', 'https://olivesfordinner.com/wp-content/uploads/2011/02/5480624870_19cda005b7-320x320.jpg'], ['Rosemary Soysage, Spinach and Mushroom with Farfalle', 'https://olivesfordinner.com/2011/02/rosemary-soysage-spinach-and-mushroo.html', 'https://olivesfordinner.com/wp-content/uploads/2011/02/5462958033_6aae203183-320x320.jpg'], ['Vegan Tom Kha Gai', 'https://olivesfordinner.com/2011/02/vegan-tom-kha-gai.html', 'https://olivesfordinner.com/wp-content/uploads/2011/02/5439733635_127c9ba730-320x320.jpg'], ['Field Roast, Oyster Mushrooms and Tiny Potatoes Over Polenta', 'https://olivesfordinner.com/2011/02/field-roast-oyster-mushrooms-and-tiny.html', 'https://olivesfordinner.com/wp-content/uploads/2011/02/5403091742_e1b485701c_z-320x320.jpg'], ['Balsamic-Agave Tofu with Beet Infused Couscous', 'https://olivesfordinner.com/2011/01/balsamic-agave-tofu-with-beet-infused.html', 'https://olivesfordinner.com/wp-content/uploads/2011/01/5399578900_9e450f412b-320x320.jpg'], ['Vcon Chickpea Noodle Soup', 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https://www.pickuplimes.com/recipe/cinnamon-coconut-cream-latte-40, https://cdn.pickuplimes.com/cache/f3/61/f36125862947d51c7fda813b838ac905.jpg'], ['Refreshing Melon Cucumber Soda, https://www.pickuplimes.com/recipe/refreshing-melon-cucumber-soda-21, https://cdn.pickuplimes.com/cache/90/7b/907b86bf8924151801e4eba06ce4d002.jpg'], ['Peach Thyme Iced Tea, https://www.pickuplimes.com/recipe/peach-thyme-iced-tea-13, https://cdn.pickuplimes.com/cache/99/86/9986da7cbe0970cfbb7d6f4f989138fd.jpg'], ['Pink Lemonade, https://www.pickuplimes.com/recipe/pink-lemonade-24, https://cdn.pickuplimes.com/cache/93/2c/932c518862f8d5081db87bd4af27296a.jpg'], ['Grapefruit Rosemary Spritzer, https://www.pickuplimes.com/recipe/grapefruit-rosemary-spritzer-12, https://cdn.pickuplimes.com/cache/59/29/5929176f62ba9c11c9535ec41451d032.jpg'], ['Beetroot Latte, https://www.pickuplimes.com/recipe/beetroot-latte-105, https://cdn.pickuplimes.com/cache/e0/43/e0438bfc0583e1f307cc526942bd35a7.jpg'], ['Golden Milk, 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https://cdn.pickuplimes.com/cache/a3/b0/a3b01ee32454747585a45a30d2dac952.jpg'], ['Creamy & Rich London Fog, https://www.pickuplimes.com/recipe/creamy-rich-london-fog-183, https://cdn.pickuplimes.com/cache/6f/54/6f54574bbaa67f93ae89aa8ac5c5b905.jpg'], ['Coconut Matcha Latte, https://www.pickuplimes.com/recipe/coconut-matcha-latte-235, https://cdn.pickuplimes.com/cache/bd/7e/bd7e40e9f2a6ceb48bb31cec03873c0c.jpg'], ['Tropical Pineapple Green Juice, https://www.pickuplimes.com/recipe/tropical-pineapple-green-juice-253, https://cdn.pickuplimes.com/cache/e2/ff/e2ffe8d6959dde160cd3259e908849fd.jpg'], ['Glowing Green Juice, https://www.pickuplimes.com/recipe/glowing-green-juice-256, https://cdn.pickuplimes.com/cache/2c/bb/2cbbd3c93e53fd756e7d576c7bd55a9d.jpg'], ['Blood Red Green Juice, https://www.pickuplimes.com/recipe/blood-red-green-juice-287, https://cdn.pickuplimes.com/cache/6b/1c/6b1c46977e8bf4890f9d946c74de361e.jpg'], ['Carrot Cantaloupe Juice, 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Tea', 'https://olivesfordinner.com/2011/11/fresh-sage-tea.html', 'https://olivesfordinner.com/wp-content/uploads/2011/11/6349316090_2411a5c48d_z-320x320.jpg'], ['Vegan Doughnuts with Cardamom-Pistachio Glaze', 'https://olivesfordinner.com/2011/10/vegan-doughnuts-with-cardamom-pistachio.html', 'https://olivesfordinner.com/wp-content/uploads/2011/10/6292640811_47701a0972-320x320.jpg'], ['Star Anise and Cinnamon Tea', 'https://olivesfordinner.com/2011/10/star-anise-and-cinnamontea.html', 'https://olivesfordinner.com/wp-content/uploads/2011/10/6251510748_e2f58dbd22-320x320.jpg'], ['Whisky Butterscotch Pudding', 'https://olivesfordinner.com/2011/10/whisky-butterscotch-pudding.html', 'https://olivesfordinner.com/wp-content/uploads/2011/10/6247118308_588fb781a1-320x320.jpg'], ['Vegan Blizzard with Salted Cashew-Caramel Sauce', 'https://olivesfordinner.com/2020/07/vegan-blizzard-with-salted-cashew-caramel-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2020/03/Vegan-Blizzard-cover-1-320x320.jpg'], ['Homegrown Organic Farms Freeze-Dried Fruit', 'https://olivesfordinner.com/2017/10/homegrown-organic-farms-freeze-dried-fruit.html', 'https://olivesfordinner.com/wp-content/uploads/2017/09/Homegrown-Organic-Farms-Freeze-Dried-Fruit-320x320.jpg'], ['Mixed Berry Compote + Creamy Chia Pudding', 'https://olivesfordinner.com/2017/07/mixed-berry-compote-creamy-chia-pudding.html', 'https://olivesfordinner.com/wp-content/uploads/2017/07/Mixed-Berry-and-Chia-Pudding-cover-320x320.jpg'], ['Lemon-Saffron Custard Tarts', 'https://olivesfordinner.com/2017/02/lemon-saffron-custard-tarts.html', 'https://olivesfordinner.com/wp-content/uploads/2017/02/Lemon-Saffron-Custard-Tart-cover-320x320.jpg'], ['Vegan Macarons', 'https://olivesfordinner.com/2015/09/vegan-macarons.html', 'https://olivesfordinner.com/wp-content/uploads/2015/09/21228263699_ea188c43aa_z-320x320.jpg'], ['Vegan S’mores', 'https://olivesfordinner.com/2015/05/vegan-smores.html', 'https://olivesfordinner.com/wp-content/uploads/2015/05/18010657515_6426d8ef34_z-320x320.jpg'], ['Easy Whiskey-Sriracha Caramel Sauce', 'https://olivesfordinner.com/2014/06/easy-whiskey-sriracha-caramel-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2014/06/wssauce-320x320.jpg'], ['Lotus Root Tempura', 'https://olivesfordinner.com/2012/05/lotus-root-tempura.html', 'https://olivesfordinner.com/wp-content/uploads/2012/05/7190707114_e694432351-320x320.jpg'], ['Vegan Chick’n and Waffles with Sriracha-Maple Syrup', 'https://olivesfordinner.com/2015/06/vegan-chickn-and-waffles-with-sriracha.html', 'https://olivesfordinner.com/wp-content/uploads/2015/06/AA4A0618-320x320.jpg'], ['Carrot Lox', 'https://olivesfordinner.com/2015/03/carrot-lox.html', 'https://olivesfordinner.com/wp-content/uploads/2015/03/16549307059_ba959fc04a_z-320x320.jpg'], ['Vegan Brunch\xa0: Chocolate Beer Waffles', 'https://olivesfordinner.com/2014/09/vegan-brunch-chocolate-beer-waffles.html', 'https://olivesfordinner.com/wp-content/uploads/2014/09/15192832479_563b57fc3f_c-320x320.jpg'], ['Vegan Finger Foods\xa0: Kimchi-Stuffed Sausages', 'https://olivesfordinner.com/2014/09/vegan-finger-foods-kimchi-stuffed.html', 'https://olivesfordinner.com/wp-content/uploads/2014/09/15166329550_2500c99f85_c-320x320.jpg'], ['Rosewater Pistachio Quinoa + 10 reasons I love Redondo Beach', 'https://olivesfordinner.com/2014/07/rosewater-pistachio-quinoa-10-reasons-i.html', 'https://olivesfordinner.com/wp-content/uploads/2014/07/14711296855_ce1d55979d_z-320x320.jpg'], ['Sweet Potato and Rosemary Beignets', 'https://olivesfordinner.com/2014/04/sweet-potato-and-rosemary-beignets.html', 'https://olivesfordinner.com/wp-content/uploads/2014/04/12071009784_527d4b2407_c-320x320.jpg'], ['Thyme-Scented Pearled Barley with Brown Beech Mushrooms', 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'https://olivesfordinner.com/wp-content/uploads/2011/05/5673752446_806eca0da3-320x320.jpg'], ['Vegan Sawmill Gravy and Biscuits with TVP-Shiitake Hash', 'https://olivesfordinner.com/2013/02/vegan-sawmill-gravy-and-biscuits-wi.html', 'https://olivesfordinner.com/wp-content/uploads/2013/02/8458736025_2192b22a4b_z-320x320.jpg'], ['Coconut-Chickpea Crepes with Smoky Herbed Mushrooms', 'https://olivesfordinner.com/2013/02/coconut-chickpea-crepes-with-smoky.html', 'https://olivesfordinner.com/wp-content/uploads/2013/02/8455834235_7bfba45015_z-320x320.jpg'], ['Horseradish Potato Pancakes with Raw Apple Salad', 'https://olivesfordinner.com/2012/12/horseradish-potato-pancakes-with-raw.html', 'https://olivesfordinner.com/wp-content/uploads/2012/12/8297466105_76cfa32ffe_z-320x320.jpg'], ['Balsamic Roasted Figs and Shallots with Herbed Socca', 'https://olivesfordinner.com/2012/10/balsamic-roasted-figs-and-shallots-wi.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8060623919_9efa9ea90f_z-320x320.jpg'], ['Zucchini and Lemongrass Fritters', 'https://olivesfordinner.com/2012/09/zucchini-and-lemongrass-fritters.html', 'https://olivesfordinner.com/wp-content/uploads/2012/09/7992669464_39f87b7c9e_z-320x320.jpg'], ['Savory Corn Pancakes with IKEA Vegan Caviar', 'https://olivesfordinner.com/2012/08/savory-corn-pancakes-with-ikea-vegan.html', 'https://olivesfordinner.com/wp-content/uploads/2012/08/7808905436_5fb2b5f1a8_z-320x320.jpg'], ['Vegan Sausages with Sriracha and Five-Spice Powder', 'https://olivesfordinner.com/2012/08/vegan-sausages-with-sriracha-and-five.html', 'https://olivesfordinner.com/wp-content/uploads/2012/08/7719591422_63c5625fdf_z-320x320.jpg'], ['Creme Brulee French Toast', 'https://olivesfordinner.com/2012/07/creme-brulee-french-toas.html', 'https://olivesfordinner.com/wp-content/uploads/2012/07/7615392824_c211a3028a-320x320.jpg'], ['Chocolate-Cardamom Chia Pudding', 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'https://olivesfordinner.com/wp-content/uploads/2011/02/5403091742_e1b485701c_z-320x320.jpg'], ['Celery Root Hashbrowns with Basil Cream', 'https://olivesfordinner.com/2012/01/celery-root-hashbrowns-with-basil-crea.html', 'https://olivesfordinner.com/wp-content/uploads/2012/01/6608971293_f8f9c59ed7_z-320x320.jpg'], ['Easy Overnight Crockpot Oatmeal', 'https://olivesfordinner.com/2011/12/easy-overnight-crockpot-oatmea.html', 'https://olivesfordinner.com/wp-content/uploads/2011/12/6454925599_1a5f5946fa_z-320x320.jpg'], ['Tofu Scramble with Seared Shiitake and Caramelized Shallots', 'https://olivesfordinner.com/2011/11/tofu-scramble-with-seared-shiitake-and.html', 'https://olivesfordinner.com/wp-content/uploads/2011/11/6318603030_17d169c762_z-320x320.jpg'], ['Homemade Bagels with Tofutti, Capers and Caramelized Shallots', 'https://olivesfordinner.com/2011/10/homemade-bagels-with-toffuti-capers-and.html', 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'https://olivesfordinner.com/wp-content/uploads/2015/02/HOPcover-320x320.jpg'], ['Vegan Sausage Wafflewich', 'https://olivesfordinner.com/2020/09/vegan-sausage-wafflewich.html', 'https://olivesfordinner.com/wp-content/uploads/2020/09/Vegan-Sausage-Wafflewich-cv-cover-320x320.jpg'], ['Homemade Coconut Yogurt', 'https://olivesfordinner.com/2020/04/homemade-coconut-yogurt.html', 'https://olivesfordinner.com/wp-content/uploads/2020/04/Coconut-Yogurt-cover-320x320.jpg'], ['Vegan Lox', 'https://olivesfordinner.com/2019/08/vegan-lox.html', 'https://olivesfordinner.com/wp-content/uploads/2019/08/Carrot-Lox-cover-320x320.jpg'], ['Homegrown Organic Farms Freeze-Dried Fruit', 'https://olivesfordinner.com/2017/10/homegrown-organic-farms-freeze-dried-fruit.html', 'https://olivesfordinner.com/wp-content/uploads/2017/09/Homegrown-Organic-Farms-Freeze-Dried-Fruit-320x320.jpg'], ['Mixed Berry Compote + Creamy Chia Pudding', 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'https://olivesfordinner.com/wp-content/uploads/2011/02/5469946814_24e6de812c-320x320.jpg'], ['Tofutti, Capers and Red Onion Beggars Purses', 'https://olivesfordinner.com/2011/02/tofutti-capers-and-red-onion-beggars.html', 'https://olivesfordinner.com/wp-content/uploads/2011/02/5462974450_d97bb81d5e-320x320.jpg'], ['How to Press Tofu: A Primer', 'https://olivesfordinner.com/2011/01/how-to-press-tofu-primer.html', 'https://olivesfordinner.com/wp-content/uploads/2011/01/5347246937_e568d31c5c-320x281.jpg'], ['Cultured Cashew Cheese', 'https://olivesfordinner.com/2013/08/cultured-cashew-cheese.html', 'https://olivesfordinner.com/wp-content/uploads/2013/08/9507153235_0a9e55b33f_z-320x320.jpg'], ['Lobster Mushroom Tempura, Avocado and Kimchi+Mayo Sushi Rolls', 'https://olivesfordinner.com/2020/12/lobster-mushroom-tempura-avocado-and-kimchimayo-sushi-rolls.html', 'https://olivesfordinner.com/wp-content/uploads/2020/12/Lobster-Mushroom-Tempura-Sushi-Rolls-cover-dec-320x320.jpg'], ['Carrot Lox Crackers', 'https://olivesfordinner.com/2020/11/carrot-lox-crackers.html', 'https://olivesfordinner.com/wp-content/uploads/2020/10/Carrot-Lox-Crackers-Appetizer-FI-320x320.jpg'], ['Homemade Coconut Yogurt', 'https://olivesfordinner.com/2020/04/homemade-coconut-yogurt.html', 'https://olivesfordinner.com/wp-content/uploads/2020/04/Coconut-Yogurt-cover-320x320.jpg'], ['Buffalo Tots', 'https://olivesfordinner.com/2019/12/buffalo-tots.html', 'https://olivesfordinner.com/wp-content/uploads/2019/12/Buffalo-Bleu-Tots_20548-cover-320x320.jpg'], ['The Best Buffalo Cauliflower | Crispy + Spicy + Air Fried!', 'https://olivesfordinner.com/2019/11/the-best-buffalo-cauliflower-crispy-spicy-air-fried.html', 'https://olivesfordinner.com/wp-content/uploads/2019/11/Olives-for-Dinner-The-Best-Buffalo-Cauliflower-cover-320x320.jpg'], ['Deep-fried Brussels Sprouts with Chipotle-Bacon Mayo', 'https://olivesfordinner.com/2019/10/deep-fried-brussels-sprouts-with-chipotle-bacon-mayo.html', 'https://olivesfordinner.com/wp-content/uploads/2019/10/Deep-fried-Brussels-Sprouts-with-Chipotle-Bacon-Mayo_cover-320x320.jpg'], ['Smashed + Loaded Tiny Baked Potatoes', 'https://olivesfordinner.com/2019/10/smashed-loaded-tiny-baked-potatoes.html', 'https://olivesfordinner.com/wp-content/uploads/2019/10/Smashed-and-Loaded-tiny-potato-cover-320x320.jpg'], ['Sriracha Pea Crusted Mushrooms with Celery-Garlic Mayo', 'https://olivesfordinner.com/2019/05/sriracha-pea-crusted-mushrooms-with-celery-garlic-mayo.html', 'https://olivesfordinner.com/wp-content/uploads/2019/05/Sriracha-Pea-Crusted-Mushrooms-with-Celery-Garlic-Mayo-cover-320x320.jpg'], ['Chickpea Fries with Yogurt-Tahini Sauce', 'https://olivesfordinner.com/2018/07/chickpea-fries-with-yogurt-tahini-sauce.html', 'https://olivesfordinner.com/wp-content/uploads/2018/07/Chickpea-Fries-Cover-1-320x320.jpg'], ['Aquafaba Mayo', 'https://olivesfordinner.com/2017/12/aquafaba-mayo.html', 'https://olivesfordinner.com/wp-content/uploads/2017/11/AF-cover-final-320x320.jpg'], ['Air-Fried Buffalo Cauliflower Steaks', 'https://olivesfordinner.com/2017/10/air-fried-buffalo-cauliflower-steaks.html', 'https://olivesfordinner.com/wp-content/uploads/2017/10/Air-Fried-Buffalo-Cauliflower-Steaks-cover-320x320.jpg'], ['Carrot Lox Stuffed + Fried Ravioli', 'https://olivesfordinner.com/2017/03/carrot-lox-stuffed-fried-ravioli.html', 'https://olivesfordinner.com/wp-content/uploads/2017/02/Carrot-Lox-Stuffed-Fried-Ravioli-cover-320x320.jpg'], ['Soft Pretzel Bites', 'https://olivesfordinner.com/2012/10/soft-pretzel-bites.html', 'https://olivesfordinner.com/wp-content/uploads/2012/10/8076551157_4fd577e190_z-320x320.jpg']]
|
[
"mtgayle17@gmail.com"
] |
mtgayle17@gmail.com
|
9f5e24ce50922fcb8e5c47d264958237365389b8
|
8540cb55d0e353f89e7656beae6b60f9db5b2bc6
|
/COURSE 2 Improving Deep Neural Networks_Hyperparameter tuning, Regularization and Optimization/Optimization+methods.py
|
a98da16ee119ab200ebbf26637279ce020e19d63
|
[] |
no_license
|
zzw95/deeplearning.ai
|
2c6687481bbde423f52223462d7124d20e6b50d8
|
6fcdb44f0c2aa685a9a0e9acc85be8cbd81d65b3
|
refs/heads/master
| 2018-12-09T22:22:20.534618
| 2018-09-12T03:03:55
| 2018-09-12T03:03:55
| 119,778,333
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 43,010
|
py
|
# coding: utf-8
# # Optimization Methods
#
# Until now, you've always used Gradient Descent to update the parameters and minimize the cost. In this notebook, you will learn more advanced optimization methods that can speed up learning and perhaps even get you to a better final value for the cost function. Having a good optimization algorithm can be the difference between waiting days vs. just a few hours to get a good result.
#
# Gradient descent goes "downhill" on a cost function $J$. Think of it as trying to do this:
# <img src="images/cost.jpg" style="width:650px;height:300px;">
# <caption><center> <u> **Figure 1** </u>: **Minimizing the cost is like finding the lowest point in a hilly landscape**<br> At each step of the training, you update your parameters following a certain direction to try to get to the lowest possible point. </center></caption>
#
# **Notations**: As usual, $\frac{\partial J}{\partial a } = $ `da` for any variable `a`.
#
# To get started, run the following code to import the libraries you will need.
# In[3]:
import numpy as np
import matplotlib.pyplot as plt
import scipy.io
import math
import sklearn
import sklearn.datasets
from opt_utils import load_params_and_grads, initialize_parameters, forward_propagation, backward_propagation
from opt_utils import compute_cost, predict, predict_dec, plot_decision_boundary, load_dataset
from testCases import *
get_ipython().magic('matplotlib inline')
plt.rcParams['figure.figsize'] = (7.0, 4.0) # set default size of plots
plt.rcParams['image.interpolation'] = 'nearest'
plt.rcParams['image.cmap'] = 'gray'
# ## 1 - Gradient Descent
#
# A simple optimization method in machine learning is gradient descent (GD). When you take gradient steps with respect to all $m$ examples on each step, it is also called Batch Gradient Descent.
#
# **Warm-up exercise**: Implement the gradient descent update rule. The gradient descent rule is, for $l = 1, ..., L$:
# $$ W^{[l]} = W^{[l]} - \alpha \text{ } dW^{[l]} \tag{1}$$
# $$ b^{[l]} = b^{[l]} - \alpha \text{ } db^{[l]} \tag{2}$$
#
# where L is the number of layers and $\alpha$ is the learning rate. All parameters should be stored in the `parameters` dictionary. Note that the iterator `l` starts at 0 in the `for` loop while the first parameters are $W^{[1]}$ and $b^{[1]}$. You need to shift `l` to `l+1` when coding.
# In[4]:
# GRADED FUNCTION: update_parameters_with_gd
def update_parameters_with_gd(parameters, grads, learning_rate):
"""
Update parameters using one step of gradient descent
Arguments:
parameters -- python dictionary containing your parameters to be updated:
parameters['W' + str(l)] = Wl
parameters['b' + str(l)] = bl
grads -- python dictionary containing your gradients to update each parameters:
grads['dW' + str(l)] = dWl
grads['db' + str(l)] = dbl
learning_rate -- the learning rate, scalar.
Returns:
parameters -- python dictionary containing your updated parameters
"""
L = len(parameters) // 2 # number of layers in the neural networks
# Update rule for each parameter
for l in range(L):
### START CODE HERE ### (approx. 2 lines)
parameters["W" + str(l+1)] = parameters["W" + str(l+1)] - learning_rate * grads["dW" + str(l+1)]
parameters["b" + str(l+1)] = parameters["b" + str(l+1)] - learning_rate * grads["db" + str(l+1)]
### END CODE HERE ###
return parameters
# In[5]:
parameters, grads, learning_rate = update_parameters_with_gd_test_case()
parameters = update_parameters_with_gd(parameters, grads, learning_rate)
print("W1 = " + str(parameters["W1"]))
print("b1 = " + str(parameters["b1"]))
print("W2 = " + str(parameters["W2"]))
print("b2 = " + str(parameters["b2"]))
# **Expected Output**:
#
# <table>
# <tr>
# <td > **W1** </td>
# <td > [[ 1.63535156 -0.62320365 -0.53718766]
# [-1.07799357 0.85639907 -2.29470142]] </td>
# </tr>
#
# <tr>
# <td > **b1** </td>
# <td > [[ 1.74604067]
# [-0.75184921]] </td>
# </tr>
#
# <tr>
# <td > **W2** </td>
# <td > [[ 0.32171798 -0.25467393 1.46902454]
# [-2.05617317 -0.31554548 -0.3756023 ]
# [ 1.1404819 -1.09976462 -0.1612551 ]] </td>
# </tr>
#
# <tr>
# <td > **b2** </td>
# <td > [[-0.88020257]
# [ 0.02561572]
# [ 0.57539477]] </td>
# </tr>
# </table>
#
# A variant of this is Stochastic Gradient Descent (SGD), which is equivalent to mini-batch gradient descent where each mini-batch has just 1 example. The update rule that you have just implemented does not change. What changes is that you would be computing gradients on just one training example at a time, rather than on the whole training set. The code examples below illustrate the difference between stochastic gradient descent and (batch) gradient descent.
#
# - **(Batch) Gradient Descent**:
#
# ``` python
# X = data_input
# Y = labels
# parameters = initialize_parameters(layers_dims)
# for i in range(0, num_iterations):
# # Forward propagation
# a, caches = forward_propagation(X, parameters)
# # Compute cost.
# cost = compute_cost(a, Y)
# # Backward propagation.
# grads = backward_propagation(a, caches, parameters)
# # Update parameters.
# parameters = update_parameters(parameters, grads)
#
# ```
#
# - **Stochastic Gradient Descent**:
#
# ```python
# X = data_input
# Y = labels
# parameters = initialize_parameters(layers_dims)
# for i in range(0, num_iterations):
# for j in range(0, m):
# # Forward propagation
# a, caches = forward_propagation(X[:,j], parameters)
# # Compute cost
# cost = compute_cost(a, Y[:,j])
# # Backward propagation
# grads = backward_propagation(a, caches, parameters)
# # Update parameters.
# parameters = update_parameters(parameters, grads)
# ```
#
# In Stochastic Gradient Descent, you use only 1 training example before updating the gradients. When the training set is large, SGD can be faster. But the parameters will "oscillate" toward the minimum rather than converge smoothly. Here is an illustration of this:
#
# <img src="images/kiank_sgd.png" style="width:750px;height:250px;">
# <caption><center> <u> <font color='purple'> **Figure 1** </u><font color='purple'> : **SGD vs GD**<br> "+" denotes a minimum of the cost. SGD leads to many oscillations to reach convergence. But each step is a lot faster to compute for SGD than for GD, as it uses only one training example (vs. the whole batch for GD). </center></caption>
#
# **Note** also that implementing SGD requires 3 for-loops in total:
# 1. Over the number of iterations
# 2. Over the $m$ training examples
# 3. Over the layers (to update all parameters, from $(W^{[1]},b^{[1]})$ to $(W^{[L]},b^{[L]})$)
#
# In practice, you'll often get faster results if you do not use neither the whole training set, nor only one training example, to perform each update. Mini-batch gradient descent uses an intermediate number of examples for each step. With mini-batch gradient descent, you loop over the mini-batches instead of looping over individual training examples.
#
# <img src="images/kiank_minibatch.png" style="width:750px;height:250px;">
# <caption><center> <u> <font color='purple'> **Figure 2** </u>: <font color='purple'> **SGD vs Mini-Batch GD**<br> "+" denotes a minimum of the cost. Using mini-batches in your optimization algorithm often leads to faster optimization. </center></caption>
#
# <font color='blue'>
# **What you should remember**:
# - The difference between gradient descent, mini-batch gradient descent and stochastic gradient descent is the number of examples you use to perform one update step.
# - You have to tune a learning rate hyperparameter $\alpha$.
# - With a well-turned mini-batch size, usually it outperforms either gradient descent or stochastic gradient descent (particularly when the training set is large).
# ## 2 - Mini-Batch Gradient descent
#
# Let's learn how to build mini-batches from the training set (X, Y).
#
# There are two steps:
# - **Shuffle**: Create a shuffled version of the training set (X, Y) as shown below. Each column of X and Y represents a training example. Note that the random shuffling is done synchronously between X and Y. Such that after the shuffling the $i^{th}$ column of X is the example corresponding to the $i^{th}$ label in Y. The shuffling step ensures that examples will be split randomly into different mini-batches.
#
# <img src="images/kiank_shuffle.png" style="width:550px;height:300px;">
#
# - **Partition**: Partition the shuffled (X, Y) into mini-batches of size `mini_batch_size` (here 64). Note that the number of training examples is not always divisible by `mini_batch_size`. The last mini batch might be smaller, but you don't need to worry about this. When the final mini-batch is smaller than the full `mini_batch_size`, it will look like this:
#
# <img src="images/kiank_partition.png" style="width:550px;height:300px;">
#
# **Exercise**: Implement `random_mini_batches`. We coded the shuffling part for you. To help you with the partitioning step, we give you the following code that selects the indexes for the $1^{st}$ and $2^{nd}$ mini-batches:
# ```python
# first_mini_batch_X = shuffled_X[:, 0 : mini_batch_size]
# second_mini_batch_X = shuffled_X[:, mini_batch_size : 2 * mini_batch_size]
# ...
# ```
#
# Note that the last mini-batch might end up smaller than `mini_batch_size=64`. Let $\lfloor s \rfloor$ represents $s$ rounded down to the nearest integer (this is `math.floor(s)` in Python). If the total number of examples is not a multiple of `mini_batch_size=64` then there will be $\lfloor \frac{m}{mini\_batch\_size}\rfloor$ mini-batches with a full 64 examples, and the number of examples in the final mini-batch will be ($m-mini_\_batch_\_size \times \lfloor \frac{m}{mini\_batch\_size}\rfloor$).
# In[6]:
# GRADED FUNCTION: random_mini_batches
def random_mini_batches(X, Y, mini_batch_size = 64, seed = 0):
"""
Creates a list of random minibatches from (X, Y)
Arguments:
X -- input data, of shape (input size, number of examples)
Y -- true "label" vector (1 for blue dot / 0 for red dot), of shape (1, number of examples)
mini_batch_size -- size of the mini-batches, integer
Returns:
mini_batches -- list of synchronous (mini_batch_X, mini_batch_Y)
"""
np.random.seed(seed) # To make your "random" minibatches the same as ours
m = X.shape[1] # number of training examples
mini_batches = []
# Step 1: Shuffle (X, Y)
permutation = list(np.random.permutation(m))
shuffled_X = X[:, permutation]
shuffled_Y = Y[:, permutation].reshape((1,m))
# Step 2: Partition (shuffled_X, shuffled_Y). Minus the end case.
num_complete_minibatches = math.floor(m/mini_batch_size) # number of mini batches of size mini_batch_size in your partitionning
for k in range(0, num_complete_minibatches):
### START CODE HERE ### (approx. 2 lines)
mini_batch_X = shuffled_X[:,k*mini_batch_size:(k+1)*mini_batch_size]
mini_batch_Y = shuffled_Y[:,k*mini_batch_size:(k+1)*mini_batch_size]
### END CODE HERE ###
mini_batch = (mini_batch_X, mini_batch_Y)
mini_batches.append(mini_batch)
# Handling the end case (last mini-batch < mini_batch_size)
if m % mini_batch_size != 0:
### START CODE HERE ### (approx. 2 lines)
mini_batch_X = shuffled_X[:,num_complete_minibatches*mini_batch_size:]
mini_batch_Y = shuffled_Y[:,num_complete_minibatches*mini_batch_size:]
### END CODE HERE ###
mini_batch = (mini_batch_X, mini_batch_Y)
mini_batches.append(mini_batch)
return mini_batches
# In[7]:
X_assess, Y_assess, mini_batch_size = random_mini_batches_test_case()
mini_batches = random_mini_batches(X_assess, Y_assess, mini_batch_size)
print ("shape of the 1st mini_batch_X: " + str(mini_batches[0][0].shape))
print ("shape of the 2nd mini_batch_X: " + str(mini_batches[1][0].shape))
print ("shape of the 3rd mini_batch_X: " + str(mini_batches[2][0].shape))
print ("shape of the 1st mini_batch_Y: " + str(mini_batches[0][1].shape))
print ("shape of the 2nd mini_batch_Y: " + str(mini_batches[1][1].shape))
print ("shape of the 3rd mini_batch_Y: " + str(mini_batches[2][1].shape))
print ("mini batch sanity check: " + str(mini_batches[0][0][0][0:3]))
# **Expected Output**:
#
# <table style="width:50%">
# <tr>
# <td > **shape of the 1st mini_batch_X** </td>
# <td > (12288, 64) </td>
# </tr>
#
# <tr>
# <td > **shape of the 2nd mini_batch_X** </td>
# <td > (12288, 64) </td>
# </tr>
#
# <tr>
# <td > **shape of the 3rd mini_batch_X** </td>
# <td > (12288, 20) </td>
# </tr>
# <tr>
# <td > **shape of the 1st mini_batch_Y** </td>
# <td > (1, 64) </td>
# </tr>
# <tr>
# <td > **shape of the 2nd mini_batch_Y** </td>
# <td > (1, 64) </td>
# </tr>
# <tr>
# <td > **shape of the 3rd mini_batch_Y** </td>
# <td > (1, 20) </td>
# </tr>
# <tr>
# <td > **mini batch sanity check** </td>
# <td > [ 0.90085595 -0.7612069 0.2344157 ] </td>
# </tr>
#
# </table>
# <font color='blue'>
# **What you should remember**:
# - Shuffling and Partitioning are the two steps required to build mini-batches
# - Powers of two are often chosen to be the mini-batch size, e.g., 16, 32, 64, 128.
# ## 3 - Momentum
#
# Because mini-batch gradient descent makes a parameter update after seeing just a subset of examples, the direction of the update has some variance, and so the path taken by mini-batch gradient descent will "oscillate" toward convergence. Using momentum can reduce these oscillations.
#
# Momentum takes into account the past gradients to smooth out the update. We will store the 'direction' of the previous gradients in the variable $v$. Formally, this will be the exponentially weighted average of the gradient on previous steps. You can also think of $v$ as the "velocity" of a ball rolling downhill, building up speed (and momentum) according to the direction of the gradient/slope of the hill.
#
# <img src="images/opt_momentum.png" style="width:400px;height:250px;">
# <caption><center> <u><font color='purple'>**Figure 3**</u><font color='purple'>: The red arrows shows the direction taken by one step of mini-batch gradient descent with momentum. The blue points show the direction of the gradient (with respect to the current mini-batch) on each step. Rather than just following the gradient, we let the gradient influence $v$ and then take a step in the direction of $v$.<br> <font color='black'> </center>
#
#
# **Exercise**: Initialize the velocity. The velocity, $v$, is a python dictionary that needs to be initialized with arrays of zeros. Its keys are the same as those in the `grads` dictionary, that is:
# for $l =1,...,L$:
# ```python
# v["dW" + str(l+1)] = ... #(numpy array of zeros with the same shape as parameters["W" + str(l+1)])
# v["db" + str(l+1)] = ... #(numpy array of zeros with the same shape as parameters["b" + str(l+1)])
# ```
# **Note** that the iterator l starts at 0 in the for loop while the first parameters are v["dW1"] and v["db1"] (that's a "one" on the superscript). This is why we are shifting l to l+1 in the `for` loop.
# In[8]:
# GRADED FUNCTION: initialize_velocity
def initialize_velocity(parameters):
"""
Initializes the velocity as a python dictionary with:
- keys: "dW1", "db1", ..., "dWL", "dbL"
- values: numpy arrays of zeros of the same shape as the corresponding gradients/parameters.
Arguments:
parameters -- python dictionary containing your parameters.
parameters['W' + str(l)] = Wl
parameters['b' + str(l)] = bl
Returns:
v -- python dictionary containing the current velocity.
v['dW' + str(l)] = velocity of dWl
v['db' + str(l)] = velocity of dbl
"""
L = len(parameters) // 2 # number of layers in the neural networks
v = {}
# Initialize velocity
for l in range(L):
### START CODE HERE ### (approx. 2 lines)
v["dW" + str(l+1)] = np.zeros(parameters["W" + str(l+1)].shape)
v["db" + str(l+1)] = np.zeros(parameters["b" + str(l+1)].shape)
### END CODE HERE ###
return v
# In[9]:
parameters = initialize_velocity_test_case()
v = initialize_velocity(parameters)
print("v[\"dW1\"] = " + str(v["dW1"]))
print("v[\"db1\"] = " + str(v["db1"]))
print("v[\"dW2\"] = " + str(v["dW2"]))
print("v[\"db2\"] = " + str(v["db2"]))
# **Expected Output**:
#
# <table style="width:40%">
# <tr>
# <td > **v["dW1"]** </td>
# <td > [[ 0. 0. 0.]
# [ 0. 0. 0.]] </td>
# </tr>
#
# <tr>
# <td > **v["db1"]** </td>
# <td > [[ 0.]
# [ 0.]] </td>
# </tr>
#
# <tr>
# <td > **v["dW2"]** </td>
# <td > [[ 0. 0. 0.]
# [ 0. 0. 0.]
# [ 0. 0. 0.]] </td>
# </tr>
#
# <tr>
# <td > **v["db2"]** </td>
# <td > [[ 0.]
# [ 0.]
# [ 0.]] </td>
# </tr>
# </table>
#
# **Exercise**: Now, implement the parameters update with momentum. The momentum update rule is, for $l = 1, ..., L$:
#
# $$ \begin{cases}
# v_{dW^{[l]}} = \beta v_{dW^{[l]}} + (1 - \beta) dW^{[l]} \\
# W^{[l]} = W^{[l]} - \alpha v_{dW^{[l]}}
# \end{cases}\tag{3}$$
#
# $$\begin{cases}
# v_{db^{[l]}} = \beta v_{db^{[l]}} + (1 - \beta) db^{[l]} \\
# b^{[l]} = b^{[l]} - \alpha v_{db^{[l]}}
# \end{cases}\tag{4}$$
#
# where L is the number of layers, $\beta$ is the momentum and $\alpha$ is the learning rate. All parameters should be stored in the `parameters` dictionary. Note that the iterator `l` starts at 0 in the `for` loop while the first parameters are $W^{[1]}$ and $b^{[1]}$ (that's a "one" on the superscript). So you will need to shift `l` to `l+1` when coding.
# In[10]:
# GRADED FUNCTION: update_parameters_with_momentum
def update_parameters_with_momentum(parameters, grads, v, beta, learning_rate):
"""
Update parameters using Momentum
Arguments:
parameters -- python dictionary containing your parameters:
parameters['W' + str(l)] = Wl
parameters['b' + str(l)] = bl
grads -- python dictionary containing your gradients for each parameters:
grads['dW' + str(l)] = dWl
grads['db' + str(l)] = dbl
v -- python dictionary containing the current velocity:
v['dW' + str(l)] = ...
v['db' + str(l)] = ...
beta -- the momentum hyperparameter, scalar
learning_rate -- the learning rate, scalar
Returns:
parameters -- python dictionary containing your updated parameters
v -- python dictionary containing your updated velocities
"""
L = len(parameters) // 2 # number of layers in the neural networks
# Momentum update for each parameter
for l in range(L):
### START CODE HERE ### (approx. 4 lines)
# compute velocities
v["dW" + str(l+1)] = beta * v["dW" + str(l+1)] + (1-beta) * grads["dW" + str(l+1)]
v["db" + str(l+1)] = beta * v["db" + str(l+1)] + (1-beta) * grads["db" + str(l+1)]
# update parameters
parameters["W" + str(l+1)] = parameters["W" + str(l+1)] - learning_rate * v["dW" + str(l+1)]
parameters["b" + str(l+1)] = parameters["b" + str(l+1)] - learning_rate * v["db" + str(l+1)]
### END CODE HERE ###
return parameters, v
# In[11]:
parameters, grads, v = update_parameters_with_momentum_test_case()
parameters, v = update_parameters_with_momentum(parameters, grads, v, beta = 0.9, learning_rate = 0.01)
print("W1 = " + str(parameters["W1"]))
print("b1 = " + str(parameters["b1"]))
print("W2 = " + str(parameters["W2"]))
print("b2 = " + str(parameters["b2"]))
print("v[\"dW1\"] = " + str(v["dW1"]))
print("v[\"db1\"] = " + str(v["db1"]))
print("v[\"dW2\"] = " + str(v["dW2"]))
print("v[\"db2\"] = " + str(v["db2"]))
# **Expected Output**:
#
# <table style="width:90%">
# <tr>
# <td > **W1** </td>
# <td > [[ 1.62544598 -0.61290114 -0.52907334]
# [-1.07347112 0.86450677 -2.30085497]] </td>
# </tr>
#
# <tr>
# <td > **b1** </td>
# <td > [[ 1.74493465]
# [-0.76027113]] </td>
# </tr>
#
# <tr>
# <td > **W2** </td>
# <td > [[ 0.31930698 -0.24990073 1.4627996 ]
# [-2.05974396 -0.32173003 -0.38320915]
# [ 1.13444069 -1.0998786 -0.1713109 ]] </td>
# </tr>
#
# <tr>
# <td > **b2** </td>
# <td > [[-0.87809283]
# [ 0.04055394]
# [ 0.58207317]] </td>
# </tr>
#
# <tr>
# <td > **v["dW1"]** </td>
# <td > [[-0.11006192 0.11447237 0.09015907]
# [ 0.05024943 0.09008559 -0.06837279]] </td>
# </tr>
#
# <tr>
# <td > **v["db1"]** </td>
# <td > [[-0.01228902]
# [-0.09357694]] </td>
# </tr>
#
# <tr>
# <td > **v["dW2"]** </td>
# <td > [[-0.02678881 0.05303555 -0.06916608]
# [-0.03967535 -0.06871727 -0.08452056]
# [-0.06712461 -0.00126646 -0.11173103]] </td>
# </tr>
#
# <tr>
# <td > **v["db2"]** </td>
# <td > [[ 0.02344157]
# [ 0.16598022]
# [ 0.07420442]]</td>
# </tr>
# </table>
#
#
# **Note** that:
# - The velocity is initialized with zeros. So the algorithm will take a few iterations to "build up" velocity and start to take bigger steps.
# - If $\beta = 0$, then this just becomes standard gradient descent without momentum.
#
# **How do you choose $\beta$?**
#
# - The larger the momentum $\beta$ is, the smoother the update because the more we take the past gradients into account. But if $\beta$ is too big, it could also smooth out the updates too much.
# - Common values for $\beta$ range from 0.8 to 0.999. If you don't feel inclined to tune this, $\beta = 0.9$ is often a reasonable default.
# - Tuning the optimal $\beta$ for your model might need trying several values to see what works best in term of reducing the value of the cost function $J$.
# <font color='blue'>
# **What you should remember**:
# - Momentum takes past gradients into account to smooth out the steps of gradient descent. It can be applied with batch gradient descent, mini-batch gradient descent or stochastic gradient descent.
# - You have to tune a momentum hyperparameter $\beta$ and a learning rate $\alpha$.
# ## 4 - Adam
#
# Adam is one of the most effective optimization algorithms for training neural networks. It combines ideas from RMSProp (described in lecture) and Momentum.
#
# **How does Adam work?**
# 1. It calculates an exponentially weighted average of past gradients, and stores it in variables $v$ (before bias correction) and $v^{corrected}$ (with bias correction).
# 2. It calculates an exponentially weighted average of the squares of the past gradients, and stores it in variables $s$ (before bias correction) and $s^{corrected}$ (with bias correction).
# 3. It updates parameters in a direction based on combining information from "1" and "2".
#
# The update rule is, for $l = 1, ..., L$:
#
# $$\begin{cases}
# v_{dW^{[l]}} = \beta_1 v_{dW^{[l]}} + (1 - \beta_1) \frac{\partial \mathcal{J} }{ \partial W^{[l]} } \\
# v^{corrected}_{dW^{[l]}} = \frac{v_{dW^{[l]}}}{1 - (\beta_1)^t} \\
# s_{dW^{[l]}} = \beta_2 s_{dW^{[l]}} + (1 - \beta_2) (\frac{\partial \mathcal{J} }{\partial W^{[l]} })^2 \\
# s^{corrected}_{dW^{[l]}} = \frac{s_{dW^{[l]}}}{1 - (\beta_1)^t} \\
# W^{[l]} = W^{[l]} - \alpha \frac{v^{corrected}_{dW^{[l]}}}{\sqrt{s^{corrected}_{dW^{[l]}}} + \varepsilon}
# \end{cases}$$
# where:
# - t counts the number of steps taken of Adam
# - L is the number of layers
# - $\beta_1$ and $\beta_2$ are hyperparameters that control the two exponentially weighted averages.
# - $\alpha$ is the learning rate
# - $\varepsilon$ is a very small number to avoid dividing by zero
#
# As usual, we will store all parameters in the `parameters` dictionary
# **Exercise**: Initialize the Adam variables $v, s$ which keep track of the past information.
#
# **Instruction**: The variables $v, s$ are python dictionaries that need to be initialized with arrays of zeros. Their keys are the same as for `grads`, that is:
# for $l = 1, ..., L$:
# ```python
# v["dW" + str(l+1)] = ... #(numpy array of zeros with the same shape as parameters["W" + str(l+1)])
# v["db" + str(l+1)] = ... #(numpy array of zeros with the same shape as parameters["b" + str(l+1)])
# s["dW" + str(l+1)] = ... #(numpy array of zeros with the same shape as parameters["W" + str(l+1)])
# s["db" + str(l+1)] = ... #(numpy array of zeros with the same shape as parameters["b" + str(l+1)])
#
# ```
# In[14]:
# GRADED FUNCTION: initialize_adam
def initialize_adam(parameters) :
"""
Initializes v and s as two python dictionaries with:
- keys: "dW1", "db1", ..., "dWL", "dbL"
- values: numpy arrays of zeros of the same shape as the corresponding gradients/parameters.
Arguments:
parameters -- python dictionary containing your parameters.
parameters["W" + str(l)] = Wl
parameters["b" + str(l)] = bl
Returns:
v -- python dictionary that will contain the exponentially weighted average of the gradient.
v["dW" + str(l)] = ...
v["db" + str(l)] = ...
s -- python dictionary that will contain the exponentially weighted average of the squared gradient.
s["dW" + str(l)] = ...
s["db" + str(l)] = ...
"""
L = len(parameters) // 2 # number of layers in the neural networks
v = {}
s = {}
# Initialize v, s. Input: "parameters". Outputs: "v, s".
for l in range(L):
### START CODE HERE ### (approx. 4 lines)
v["dW" + str(l+1)] = np.zeros(parameters["W" + str(l+1)].shape)
v["db" + str(l+1)] = np.zeros(parameters["b" + str(l+1)].shape)
s["dW" + str(l+1)] = np.zeros(parameters["W" + str(l+1)].shape)
s["db" + str(l+1)] = np.zeros(parameters["b" + str(l+1)].shape)
### END CODE HERE ###
return v, s
# In[15]:
parameters = initialize_adam_test_case()
v, s = initialize_adam(parameters)
print("v[\"dW1\"] = " + str(v["dW1"]))
print("v[\"db1\"] = " + str(v["db1"]))
print("v[\"dW2\"] = " + str(v["dW2"]))
print("v[\"db2\"] = " + str(v["db2"]))
print("s[\"dW1\"] = " + str(s["dW1"]))
print("s[\"db1\"] = " + str(s["db1"]))
print("s[\"dW2\"] = " + str(s["dW2"]))
print("s[\"db2\"] = " + str(s["db2"]))
# **Expected Output**:
#
# <table style="width:40%">
# <tr>
# <td > **v["dW1"]** </td>
# <td > [[ 0. 0. 0.]
# [ 0. 0. 0.]] </td>
# </tr>
#
# <tr>
# <td > **v["db1"]** </td>
# <td > [[ 0.]
# [ 0.]] </td>
# </tr>
#
# <tr>
# <td > **v["dW2"]** </td>
# <td > [[ 0. 0. 0.]
# [ 0. 0. 0.]
# [ 0. 0. 0.]] </td>
# </tr>
#
# <tr>
# <td > **v["db2"]** </td>
# <td > [[ 0.]
# [ 0.]
# [ 0.]] </td>
# </tr>
# <tr>
# <td > **s["dW1"]** </td>
# <td > [[ 0. 0. 0.]
# [ 0. 0. 0.]] </td>
# </tr>
#
# <tr>
# <td > **s["db1"]** </td>
# <td > [[ 0.]
# [ 0.]] </td>
# </tr>
#
# <tr>
# <td > **s["dW2"]** </td>
# <td > [[ 0. 0. 0.]
# [ 0. 0. 0.]
# [ 0. 0. 0.]] </td>
# </tr>
#
# <tr>
# <td > **s["db2"]** </td>
# <td > [[ 0.]
# [ 0.]
# [ 0.]] </td>
# </tr>
#
# </table>
#
# **Exercise**: Now, implement the parameters update with Adam. Recall the general update rule is, for $l = 1, ..., L$:
#
# $$\begin{cases}
# v_{W^{[l]}} = \beta_1 v_{W^{[l]}} + (1 - \beta_1) \frac{\partial J }{ \partial W^{[l]} } \\
# v^{corrected}_{W^{[l]}} = \frac{v_{W^{[l]}}}{1 - (\beta_1)^t} \\
# s_{W^{[l]}} = \beta_2 s_{W^{[l]}} + (1 - \beta_2) (\frac{\partial J }{\partial W^{[l]} })^2 \\
# s^{corrected}_{W^{[l]}} = \frac{s_{W^{[l]}}}{1 - (\beta_2)^t} \\
# W^{[l]} = W^{[l]} - \alpha \frac{v^{corrected}_{W^{[l]}}}{\sqrt{s^{corrected}_{W^{[l]}}}+\varepsilon}
# \end{cases}$$
#
#
# **Note** that the iterator `l` starts at 0 in the `for` loop while the first parameters are $W^{[1]}$ and $b^{[1]}$. You need to shift `l` to `l+1` when coding.
# In[16]:
# GRADED FUNCTION: update_parameters_with_adam
def update_parameters_with_adam(parameters, grads, v, s, t, learning_rate = 0.01,
beta1 = 0.9, beta2 = 0.999, epsilon = 1e-8):
"""
Update parameters using Adam
Arguments:
parameters -- python dictionary containing your parameters:
parameters['W' + str(l)] = Wl
parameters['b' + str(l)] = bl
grads -- python dictionary containing your gradients for each parameters:
grads['dW' + str(l)] = dWl
grads['db' + str(l)] = dbl
v -- Adam variable, moving average of the first gradient, python dictionary
s -- Adam variable, moving average of the squared gradient, python dictionary
learning_rate -- the learning rate, scalar.
beta1 -- Exponential decay hyperparameter for the first moment estimates
beta2 -- Exponential decay hyperparameter for the second moment estimates
epsilon -- hyperparameter preventing division by zero in Adam updates
Returns:
parameters -- python dictionary containing your updated parameters
v -- Adam variable, moving average of the first gradient, python dictionary
s -- Adam variable, moving average of the squared gradient, python dictionary
"""
L = len(parameters) // 2 # number of layers in the neural networks
v_corrected = {} # Initializing first moment estimate, python dictionary
s_corrected = {} # Initializing second moment estimate, python dictionary
# Perform Adam update on all parameters
for l in range(L):
# Moving average of the gradients. Inputs: "v, grads, beta1". Output: "v".
### START CODE HERE ### (approx. 2 lines)
v["dW" + str(l+1)] = beta1 * v["dW" + str(l+1)] + (1-beta1) * grads["dW" + str(l+1)]
v["db" + str(l+1)] = beta1 * v["db" + str(l+1)] + (1-beta1) * grads["db" + str(l+1)]
### END CODE HERE ###
# Compute bias-corrected first moment estimate. Inputs: "v, beta1, t". Output: "v_corrected".
### START CODE HERE ### (approx. 2 lines)
v_corrected["dW" + str(l+1)] = v["dW" + str(l+1)] / (1 - beta1 ** t)
v_corrected["db" + str(l+1)] = v["db" + str(l+1)] / (1 - beta1 ** t)
### END CODE HERE ###
# Moving average of the squared gradients. Inputs: "s, grads, beta2". Output: "s".
### START CODE HERE ### (approx. 2 lines)
s["dW" + str(l+1)] = beta2 * s["dW" + str(l+1)] + (1-beta2) * (grads["dW" + str(l+1)]**2)
s["db" + str(l+1)] = beta2 * s["db" + str(l+1)] + (1-beta2) * (grads["db" + str(l+1)]**2)
### END CODE HERE ###
# Compute bias-corrected second raw moment estimate. Inputs: "s, beta2, t". Output: "s_corrected".
### START CODE HERE ### (approx. 2 lines)
s_corrected["dW" + str(l+1)] = s["dW" + str(l+1)] / (1 - beta2 ** t)
s_corrected["db" + str(l+1)] = s["db" + str(l+1)] / (1 - beta2 ** t)
### END CODE HERE ###
# Update parameters. Inputs: "parameters, learning_rate, v_corrected, s_corrected, epsilon". Output: "parameters".
### START CODE HERE ### (approx. 2 lines)
parameters["W" + str(l+1)] = parameters["W" + str(l+1)] - learning_rate * v_corrected["dW" + str(l+1)] /(s_corrected["dW" + str(l+1)]**0.5 + epsilon )
parameters["b" + str(l+1)] = parameters["b" + str(l+1)] - learning_rate * v_corrected["db" + str(l+1)] /(s_corrected["db" + str(l+1)]**0.5 + epsilon )
### END CODE HERE ###
return parameters, v, s
# In[17]:
parameters, grads, v, s = update_parameters_with_adam_test_case()
parameters, v, s = update_parameters_with_adam(parameters, grads, v, s, t = 2)
print("W1 = " + str(parameters["W1"]))
print("b1 = " + str(parameters["b1"]))
print("W2 = " + str(parameters["W2"]))
print("b2 = " + str(parameters["b2"]))
print("v[\"dW1\"] = " + str(v["dW1"]))
print("v[\"db1\"] = " + str(v["db1"]))
print("v[\"dW2\"] = " + str(v["dW2"]))
print("v[\"db2\"] = " + str(v["db2"]))
print("s[\"dW1\"] = " + str(s["dW1"]))
print("s[\"db1\"] = " + str(s["db1"]))
print("s[\"dW2\"] = " + str(s["dW2"]))
print("s[\"db2\"] = " + str(s["db2"]))
# **Expected Output**:
#
# <table>
# <tr>
# <td > **W1** </td>
# <td > [[ 1.63178673 -0.61919778 -0.53561312]
# [-1.08040999 0.85796626 -2.29409733]] </td>
# </tr>
#
# <tr>
# <td > **b1** </td>
# <td > [[ 1.75225313]
# [-0.75376553]] </td>
# </tr>
#
# <tr>
# <td > **W2** </td>
# <td > [[ 0.32648046 -0.25681174 1.46954931]
# [-2.05269934 -0.31497584 -0.37661299]
# [ 1.14121081 -1.09245036 -0.16498684]] </td>
# </tr>
#
# <tr>
# <td > **b2** </td>
# <td > [[-0.88529978]
# [ 0.03477238]
# [ 0.57537385]] </td>
# </tr>
# <tr>
# <td > **v["dW1"]** </td>
# <td > [[-0.11006192 0.11447237 0.09015907]
# [ 0.05024943 0.09008559 -0.06837279]] </td>
# </tr>
#
# <tr>
# <td > **v["db1"]** </td>
# <td > [[-0.01228902]
# [-0.09357694]] </td>
# </tr>
#
# <tr>
# <td > **v["dW2"]** </td>
# <td > [[-0.02678881 0.05303555 -0.06916608]
# [-0.03967535 -0.06871727 -0.08452056]
# [-0.06712461 -0.00126646 -0.11173103]] </td>
# </tr>
#
# <tr>
# <td > **v["db2"]** </td>
# <td > [[ 0.02344157]
# [ 0.16598022]
# [ 0.07420442]] </td>
# </tr>
# <tr>
# <td > **s["dW1"]** </td>
# <td > [[ 0.00121136 0.00131039 0.00081287]
# [ 0.0002525 0.00081154 0.00046748]] </td>
# </tr>
#
# <tr>
# <td > **s["db1"]** </td>
# <td > [[ 1.51020075e-05]
# [ 8.75664434e-04]] </td>
# </tr>
#
# <tr>
# <td > **s["dW2"]** </td>
# <td > [[ 7.17640232e-05 2.81276921e-04 4.78394595e-04]
# [ 1.57413361e-04 4.72206320e-04 7.14372576e-04]
# [ 4.50571368e-04 1.60392066e-07 1.24838242e-03]] </td>
# </tr>
#
# <tr>
# <td > **s["db2"]** </td>
# <td > [[ 5.49507194e-05]
# [ 2.75494327e-03]
# [ 5.50629536e-04]] </td>
# </tr>
# </table>
#
# You now have three working optimization algorithms (mini-batch gradient descent, Momentum, Adam). Let's implement a model with each of these optimizers and observe the difference.
# ## 5 - Model with different optimization algorithms
#
# Lets use the following "moons" dataset to test the different optimization methods. (The dataset is named "moons" because the data from each of the two classes looks a bit like a crescent-shaped moon.)
# In[18]:
train_X, train_Y = load_dataset()
# We have already implemented a 3-layer neural network. You will train it with:
# - Mini-batch **Gradient Descent**: it will call your function:
# - `update_parameters_with_gd()`
# - Mini-batch **Momentum**: it will call your functions:
# - `initialize_velocity()` and `update_parameters_with_momentum()`
# - Mini-batch **Adam**: it will call your functions:
# - `initialize_adam()` and `update_parameters_with_adam()`
# In[19]:
def model(X, Y, layers_dims, optimizer, learning_rate = 0.0007, mini_batch_size = 64, beta = 0.9,
beta1 = 0.9, beta2 = 0.999, epsilon = 1e-8, num_epochs = 10000, print_cost = True):
"""
3-layer neural network model which can be run in different optimizer modes.
Arguments:
X -- input data, of shape (2, number of examples)
Y -- true "label" vector (1 for blue dot / 0 for red dot), of shape (1, number of examples)
layers_dims -- python list, containing the size of each layer
learning_rate -- the learning rate, scalar.
mini_batch_size -- the size of a mini batch
beta -- Momentum hyperparameter
beta1 -- Exponential decay hyperparameter for the past gradients estimates
beta2 -- Exponential decay hyperparameter for the past squared gradients estimates
epsilon -- hyperparameter preventing division by zero in Adam updates
num_epochs -- number of epochs
print_cost -- True to print the cost every 1000 epochs
Returns:
parameters -- python dictionary containing your updated parameters
"""
L = len(layers_dims) # number of layers in the neural networks
costs = [] # to keep track of the cost
t = 0 # initializing the counter required for Adam update
seed = 10 # For grading purposes, so that your "random" minibatches are the same as ours
# Initialize parameters
parameters = initialize_parameters(layers_dims)
# Initialize the optimizer
if optimizer == "gd":
pass # no initialization required for gradient descent
elif optimizer == "momentum":
v = initialize_velocity(parameters)
elif optimizer == "adam":
v, s = initialize_adam(parameters)
# Optimization loop
for i in range(num_epochs):
# Define the random minibatches. We increment the seed to reshuffle differently the dataset after each epoch
seed = seed + 1
minibatches = random_mini_batches(X, Y, mini_batch_size, seed)
for minibatch in minibatches:
# Select a minibatch
(minibatch_X, minibatch_Y) = minibatch
# Forward propagation
a3, caches = forward_propagation(minibatch_X, parameters)
# Compute cost
cost = compute_cost(a3, minibatch_Y)
# Backward propagation
grads = backward_propagation(minibatch_X, minibatch_Y, caches)
# Update parameters
if optimizer == "gd":
parameters = update_parameters_with_gd(parameters, grads, learning_rate)
elif optimizer == "momentum":
parameters, v = update_parameters_with_momentum(parameters, grads, v, beta, learning_rate)
elif optimizer == "adam":
t = t + 1 # Adam counter
parameters, v, s = update_parameters_with_adam(parameters, grads, v, s,
t, learning_rate, beta1, beta2, epsilon)
# Print the cost every 1000 epoch
if print_cost and i % 1000 == 0:
print ("Cost after epoch %i: %f" %(i, cost))
if print_cost and i % 100 == 0:
costs.append(cost)
# plot the cost
plt.plot(costs)
plt.ylabel('cost')
plt.xlabel('epochs (per 100)')
plt.title("Learning rate = " + str(learning_rate))
plt.show()
return parameters
# You will now run this 3 layer neural network with each of the 3 optimization methods.
#
# ### 5.1 - Mini-batch Gradient descent
#
# Run the following code to see how the model does with mini-batch gradient descent.
# In[20]:
# train 3-layer model
layers_dims = [train_X.shape[0], 5, 2, 1]
parameters = model(train_X, train_Y, layers_dims, optimizer = "gd")
# Predict
predictions = predict(train_X, train_Y, parameters)
# Plot decision boundary
plt.title("Model with Gradient Descent optimization")
axes = plt.gca()
axes.set_xlim([-1.5,2.5])
axes.set_ylim([-1,1.5])
plot_decision_boundary(lambda x: predict_dec(parameters, x.T), train_X, train_Y)
# ### 5.2 - Mini-batch gradient descent with momentum
#
# Run the following code to see how the model does with momentum. Because this example is relatively simple, the gains from using momemtum are small; but for more complex problems you might see bigger gains.
# In[21]:
# train 3-layer model
layers_dims = [train_X.shape[0], 5, 2, 1]
parameters = model(train_X, train_Y, layers_dims, beta = 0.9, optimizer = "momentum")
# Predict
predictions = predict(train_X, train_Y, parameters)
# Plot decision boundary
plt.title("Model with Momentum optimization")
axes = plt.gca()
axes.set_xlim([-1.5,2.5])
axes.set_ylim([-1,1.5])
plot_decision_boundary(lambda x: predict_dec(parameters, x.T), train_X, train_Y)
# ### 5.3 - Mini-batch with Adam mode
#
# Run the following code to see how the model does with Adam.
# In[22]:
# train 3-layer model
layers_dims = [train_X.shape[0], 5, 2, 1]
parameters = model(train_X, train_Y, layers_dims, optimizer = "adam")
# Predict
predictions = predict(train_X, train_Y, parameters)
# Plot decision boundary
plt.title("Model with Adam optimization")
axes = plt.gca()
axes.set_xlim([-1.5,2.5])
axes.set_ylim([-1,1.5])
plot_decision_boundary(lambda x: predict_dec(parameters, x.T), train_X, train_Y)
# ### 5.4 - Summary
#
# <table>
# <tr>
# <td>
# **optimization method**
# </td>
# <td>
# **accuracy**
# </td>
# <td>
# **cost shape**
# </td>
#
# </tr>
# <td>
# Gradient descent
# </td>
# <td>
# 79.7%
# </td>
# <td>
# oscillations
# </td>
# <tr>
# <td>
# Momentum
# </td>
# <td>
# 79.7%
# </td>
# <td>
# oscillations
# </td>
# </tr>
# <tr>
# <td>
# Adam
# </td>
# <td>
# 94%
# </td>
# <td>
# smoother
# </td>
# </tr>
# </table>
#
# Momentum usually helps, but given the small learning rate and the simplistic dataset, its impact is almost negligeable. Also, the huge oscillations you see in the cost come from the fact that some minibatches are more difficult thans others for the optimization algorithm.
#
# Adam on the other hand, clearly outperforms mini-batch gradient descent and Momentum. If you run the model for more epochs on this simple dataset, all three methods will lead to very good results. However, you've seen that Adam converges a lot faster.
#
# Some advantages of Adam include:
# - Relatively low memory requirements (though higher than gradient descent and gradient descent with momentum)
# - Usually works well even with little tuning of hyperparameters (except $\alpha$)
# **References**:
#
# - Adam paper: https://arxiv.org/pdf/1412.6980.pdf
|
[
"zhuzhenwei95@gmail.com"
] |
zhuzhenwei95@gmail.com
|
94c209d3d25c989f349ccd38025fa4dd3e3dbd18
|
7f35d7d1b8f203217f47a615ca8efdb5e17976db
|
/algo/second/p693_binary_number_with_alternating_bits.py
|
1c70b23a02fcb9375c33a53430168b55fc331bdc
|
[] |
no_license
|
thinkreed/lc.py
|
767dd61f4c9454f09e66e48b2974b8d049d6e448
|
ba6b2500b86489cc34852ff73ba0915e57aa0275
|
refs/heads/master
| 2020-05-16T14:49:18.261246
| 2019-07-16T23:42:12
| 2019-07-16T23:42:12
| 183,113,318
| 3
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 196
|
py
|
class Solution(object):
def hasAlternatingBits(self, n):
"""
:type n: int
:rtype: bool
"""
a = n ^ (n / 2)
b = a + 1
return not (a & b)
|
[
"thinkreed2017@outlook.com"
] |
thinkreed2017@outlook.com
|
af504185ba8ca0856e0f15dcd57e1301d574f6b8
|
5a0bc261e7ed7418a1237c01ba25155c519e5909
|
/Chapter7/Chapter7part23.py
|
05c0d9dfe38692f6b9c422f5e843cbef73ccd55f
|
[] |
no_license
|
jsigner/ESC411
|
b4af0e3ee09e75c1df5b2879d1a792b1cb8ab029
|
4481449c649e755264605ba619f5a8b9a47894bc
|
refs/heads/master
| 2020-12-20T15:02:59.783210
| 2020-01-29T11:19:28
| 2020-01-29T11:19:28
| 236,115,351
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 688
|
py
|
import numpy as np
def diff2(u):
N = len(u)
d2u = [0]*N
d2u[0] = u[1]-u[0]
d2u[N-1] = u[N-2]-u[N-1]
for n in range(1,N-1):
d2u[n] = u[n+1] + u[n-1]-2*u[n]
return(np.array(d2u))
def RHS(u,dx):
N=len(u)
d2=diff2(u)
r=np.array([0.0 for n in range(N)])
for n in range(0,N):
r[n]=u[n]*(1-u[n])+d2[n]/dx**2
return(r)
def numsolFK(u0,dx,dt,N):
n=len(u0)
u=[np.array([0.0]*n) for i in range(N)]
u[0]=u0
for t in range(1,N):
u[t]=u[t-1]+dt*RHS(u[t-1]+(dt/2)*RHS(u[t-1],dx),dx)
#print(dt*RHS(u[t] + (dt / 2) * RHS(u[t], dx), dx))
return(u)
print(numsolFK(np.array([0,0,0,2.5,1,0,0]),0.1,0.1,100))
|
[
"jens.signer@uzh.ch"
] |
jens.signer@uzh.ch
|
05dec73c900f0b0c9e402c0259bf21ec5f4c80fb
|
91f5e289978190e5ae673aeef64da6d2eea003b7
|
/Python/run_manual_prcrawler.py
|
eec0b1162c7d0cd14b14743dd25802c1477c1031
|
[] |
no_license
|
sdownin/mmc-pharma
|
59699e715a7d09057b520d98747523ab7e15c0fa
|
2605a749a697b62cd1f5402f6566296fd6c83113
|
refs/heads/master
| 2020-04-19T01:04:15.674176
| 2019-06-07T06:58:46
| 2019-06-07T06:58:46
| 167,863,040
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,501
|
py
|
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 15 12:34:08 2019
@author: T430
"""
import os
import pandas as pd
from argparse import ArgumentParser
from manual_prcrawler import ManualPRCrawler
def run():
""" Main web crawler run function
"""
work_dir = 'C:\\Users\\T430\\Google Drive\\PhD\\Research\\MMC\\pharma_encounters\\mmc-pharma'
data_dir = os.path.join(work_dir, 'analysis_data')
# ## add logs directory
# log_dir = os.path.join(work_dir,'logs')
# if not os.path.exists(log_dir):
# os.makedirs(log_dir)
# ## logging
# configure_logging(install_root_handler=False)
# logging.basicConfig(
# filename=os.path.join(log_dir,'log_%s.txt' % round(timestamp())),
# format='%(levelname)s: %(message)s',
# level=logging.INFO
# )
## parse arguments
par = ArgumentParser(description="Run Manual Industry Press Release Crawler")
par.add_argument('-f','--files', type=str, help="The data files to process (comma separated)")
par.add_argument('-n','--names', type=str, help="The firm names to crawl (comma separated)")
args = par.parse_args()
files = args.files.split(',') if args.files is not None else []
names = args.names.split(',') if args.names is not None else []
## if no files specified, run all files in data dir
if not files:
files = os.listdir(data_dir)
print('files to crawl:')
print(files)
## run crawlers for each data file
for file in files:
## check data file
if file not in os.listdir(data_dir):
print('skipping missing file %s' % file)
next
else:
print('processing file: %s' % file)
## load data
df = pd.read_csv(os.path.join(data_dir, file), na_values=[""])
## run web crawlers per domain in data file
for index, row in df.iterrows():
## check firm name
if names and row.name not in names:
next
## dynamic content: temporarily skip
if int(row.pdf):
print(' skipping %s for dynamic pdf content' % row.name)
next
## runner crawl spider
print(' running firm %s' % row.name)
clr = ManualPRCrawler(row.to_dict(), data_dir)
clr.fetch_article_urls()
clr.fetch_articles()
print(clr.article_urls)
if __name__ == '__main__':
run()
|
[
"stephendowning2008@gmail.com"
] |
stephendowning2008@gmail.com
|
78fce8646714678588c09f4232057ee8abcbf17f
|
075e491540481578d68665bc7679c68a0281e6e2
|
/finance/stock.py
|
00575fbd38c0bd30e6404c3483f99c259ca44e8d
|
[] |
no_license
|
ChenChihChiang/Hahow-Python-Web
|
4a4505d37fa49721b1528c7f726cf0b38a40d2da
|
3b5feeb65d88090d8f663f8ba7e84e024d26c1aa
|
refs/heads/master
| 2021-06-14T22:19:57.938509
| 2017-04-18T03:53:22
| 2017-04-18T03:53:22
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,151
|
py
|
import requests
from bs4 import BeautifulSoup
import pandas as pd
import time
url = 'http://www.twse.com.tw/ch/trading/exchange/BWIBBU/BWIBBU.php'
def parserTSE(year, month, no):
year = str(year)
month = str(month)
no = str(no)
payload = {
'query_year': year,
'query_month': month,
'CO_ID': no,
'query-button':'%E6%9F%A5%E8%A9%A2'
}
headers = {
'User-Agent':'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_5) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36'
}
res = requests.post(url, headers=headers, data=payload)
#data = res.text.encode('latin1').decode('big5')
#print (res.text)
soup = BeautifulSoup(res.text, 'html.parser')
#cpntent = soup.select('.board')
content = soup.find_all('table')[0]
with open ('./' + year + month + '_tst_' + no + '.html', 'w') as f:
f.write(str(content))
table = pd.read_html('./' + year + month + '_tst_' + no + '.html')[0]
print (table.to_csv(header=False, index=False))
with open('./' + year + '_tse_' + no + '.csv', 'a') as f:
f.write(str(table.to_csv(header=False, index=False)))
for m in range(1, 13):
time.sleep(5)
parserTSE(2015, m, 2317)
|
[
"chihchinag@gmail.com"
] |
chihchinag@gmail.com
|
ec282d154faabb3d27915f38c3c13d823ae008c8
|
39de3097fb024c67a00c8d0e57c937d91f8b2cc9
|
/Graphs/first_depth_first_search.py
|
d08ac89c8316ae345b61554a0dbaf65cbb800397
|
[] |
no_license
|
srajsonu/InterviewBit-Solution-Python
|
4f41da54c18b47db19c3c0ad0e5efa165bfd0cd0
|
6099a7b02ad0d71e08f936b7ac35fe035738c26f
|
refs/heads/master
| 2023-03-07T05:49:15.597928
| 2021-02-24T18:20:07
| 2021-02-24T18:20:07
| 249,359,666
| 0
| 2
| null | 2020-10-06T10:54:07
| 2020-03-23T07:09:53
|
Python
|
UTF-8
|
Python
| false
| false
| 558
|
py
|
from _collections import defaultdict
class Solution:
def __init__(self):
self.graph = defaultdict(list)
def Solve(self,A,B,C):
n=len(A)
for i in range(n):
self.graph[A[i]].append(i+1)
vis=[0]*(n+1)
q=[]
q.append(C)
vis[C]=1
while q:
a=q.pop(0)
for i in self.graph[a]:
if not vis[i]:
q.append(i)
vis[i]=1
return vis[B]
A=[1,1,1,3,3,2,2,7,6]
B=9
C=1
D=Solution()
print(D.Solve(A,B,C))
|
[
"srajsonu02@gmail.com"
] |
srajsonu02@gmail.com
|
75cc35602ae659ea024b658db136fe838acb3ec8
|
dae4ab4882080344e5f505def7e2e59e0ed888b4
|
/polyaxon/libs/unique_urls.py
|
9a1268f47539af0e3fffc4d92358250465c22ab1
|
[
"MPL-2.0"
] |
permissive
|
vfdev-5/polyaxon
|
8c3945604e8eaa25ba8b3a39ed0838d0b9f39a28
|
3e1511a993dc1a03e0a0827de0357f4adcc0015f
|
refs/heads/master
| 2021-07-09T22:27:23.272591
| 2018-11-01T23:44:44
| 2018-11-01T23:44:44
| 154,320,634
| 0
| 0
|
MIT
| 2018-10-23T12:01:34
| 2018-10-23T12:01:33
| null |
UTF-8
|
Python
| false
| false
| 1,467
|
py
|
def get_user_url(username):
return '/{}'.format(username)
def get_project_url(unique_name):
values = unique_name.split('.')
return '{}/{}'.format(get_user_url(values[0]), values[1])
def get_user_project_url(username, project_name):
return '{}/{}'.format(get_user_url(username), project_name)
def get_experiment_url(unique_name):
values = unique_name.split('.')
project_url = get_user_project_url(username=values[0], project_name=values[1])
return '{}/experiments/{}'.format(project_url, values[-1])
def get_experiment_health_url(unique_name):
experiment_url = get_experiment_url(unique_name=unique_name)
return '{}/_heartbeat'.format(experiment_url)
def get_experiment_group_url(unique_name):
values = unique_name.split('.')
project_url = get_user_project_url(username=values[0], project_name=values[1])
return '{}/groups/{}'.format(project_url, values[-1])
def get_job_url(unique_name):
values = unique_name.split('.')
project_url = get_user_project_url(username=values[0], project_name=values[1])
return '{}/jobs/{}'.format(project_url, values[-1])
def get_job_health_url(unique_name):
job_url = get_job_url(unique_name=unique_name)
return '{}/_heartbeat'.format(job_url)
def get_build_url(unique_name):
values = unique_name.split('.')
project_url = get_user_project_url(username=values[0], project_name=values[1])
return '{}/builds/{}'.format(project_url, values[-1])
|
[
"mouradmourafiq@gmail.com"
] |
mouradmourafiq@gmail.com
|
327b9720cf90db9b40e56d118b4b15e2dd54d0ca
|
4668d0c19f483cf40d37c0d3b3b22ec4a273eb3c
|
/intercept/plain_tcp_bridge.py
|
93d518a7187ec58284a1d8991a4415fff18a18f7
|
[] |
no_license
|
jevinskie/proxytap
|
ee423996c5bd8a516312d0a20a3ee4656f7e2067
|
1f4dadf68247959fbc56f5e49b7f5d6a836ad7a9
|
refs/heads/master
| 2016-09-05T19:20:07.796643
| 2012-01-19T21:24:14
| 2012-01-19T21:24:14
| 2,572,088
| 4
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 561
|
py
|
from scapy.all import Ether,TCP
import socket
from tcp_state import *
class PlainTcpBridge(object):
def __init__(self):
self.sockets = {}
def set_tcp_interceptor(self, tcp_int):
self.tcp_int = tcp_int
def connect(self, sock):
try:
print "start con"
brsock = socket.create_connection(sock[2:4])
print "finished con"
if self.tcp_int.finish_connect(sock):
self.sockets[sock] = {'state': tcp_states.ESTABLISHED}
except Exception, e:
print e
|
[
"jevinsweval@gmail.com"
] |
jevinsweval@gmail.com
|
8a3336a7bcdd604e74b83c6d88392be64fce7e97
|
daa727ab2f9415e345c19dd722e6de82945281b5
|
/app.py
|
4a8641ba0bb7a05df8464ac7694ac0679330054f
|
[] |
no_license
|
Zeeshan75/docker_demo_71
|
e629753f2eea6a94519eeea9e3aaf2a9c95d042a
|
edb9717757793134cbacb0c0c63a7fb45911e3fc
|
refs/heads/main
| 2023-07-07T17:48:59.373387
| 2021-08-31T08:41:26
| 2021-08-31T08:41:26
| 401,631,570
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 250
|
py
|
from flask import Flask
import os
app = Flask(__name__)
@app.route("/")
def hello():
return "getting started docker new change the file ........................!!"
if __name__ == "__main__":
app.run(host='0.0.0.0',debug=True, port=4000)
|
[
"noreply@github.com"
] |
Zeeshan75.noreply@github.com
|
47607374b412d3c3ea3a567915b7d2377f77190a
|
27bccae0a0651dec824eb40633448928f3fa87a7
|
/masterpc/apps/user/templatetags/sum.py
|
d6c4b1d6a806d71909cda61bda0e4857984ca5f1
|
[] |
no_license
|
samir04m/MasterPC
|
1d2a2955b491d99afa14a94fc9955140cdbfb9bd
|
be115e2b38e518c2e8d0aa185f53c02ffd56dac8
|
refs/heads/master
| 2022-09-30T01:35:40.792649
| 2020-06-09T03:49:21
| 2020-06-09T03:49:21
| 262,657,403
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 107
|
py
|
from django import template
register = template.Library()
@register.filter
def sum(a, b):
return a + b
|
[
"samir04m@gmail.com"
] |
samir04m@gmail.com
|
65a0dc2550757ed063b5e95fc41794c30d082456
|
5cb5b774b1f5c5f9b503ed5da863f9c7e3773f5e
|
/6 - ZigZag Conversion/main.py
|
60f09ef05958c656df971bd1fcacd79155773e6b
|
[] |
no_license
|
ewalldo/LeetCode-Problems
|
92a5325c8bdb79fc69ea5dff1768f769fc13cc83
|
caba88c5c2b709625e1915554cf3b8a3a73ed2b4
|
refs/heads/master
| 2022-11-16T06:25:32.817039
| 2020-07-12T02:58:16
| 2020-07-12T02:58:16
| 277,758,915
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 508
|
py
|
class Solution:
def convert(self, s: str, numRows: int) -> str:
if numRows == 0 or numRows == 1:
return s
ret_ = []
n = len(s)
cycle_len = 2 * numRows - 2
for i in range(numRows):
for j in range(i, n, cycle_len):
ret_.append(s[j])
if i != numRows-1 and i != 0 and j + cycle_len - 2*i < n:
ret_.append(s[j+cycle_len-2*i])
ret_ = "".join(ret_)
return ret_
|
[
"noreply@github.com"
] |
ewalldo.noreply@github.com
|
39c3141c70b4a3fe7f93408a9993d754ec1d4bd5
|
e2c6f262bb4ea12e3adb4534b3d7e3451c416dc4
|
/slarson/pywikipedia/maintcont.py
|
b55f806b04bc8e108737425fb4b8a8401c72cf48
|
[
"MIT",
"Python-2.0",
"LicenseRef-scancode-mit-old-style"
] |
permissive
|
slarson/ncmir-semantic-sandbox
|
c48e8c9dd5a6f5769d4422c80ca58c370786bfab
|
d6a02a5cf4415796f25d191d541ebaccaab53e7f
|
refs/heads/master
| 2016-09-06T04:10:21.136714
| 2009-03-31T09:49:59
| 2009-03-31T09:49:59
| 32,129,001
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,925
|
py
|
#! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
The controller bot for maintainer.py
Exactly one instance should be running of it. To check, use /whois maintcont on irc.freenode.net
This script requires the Python IRC library http://python-irclib.sourceforge.net/
Warning: experimental software, use at your own risk
"""
__version__ = '$Id$'
# Author: Balasyum
# http://hu.wikipedia.org/wiki/User:Balasyum
from ircbot import SingleServerIRCBot
from irclib import nm_to_n
import threading
import time
import math
tasks = 'rciw|censure'
projtasks = {}
mainters = []
activity = {}
class MaintcontBot(SingleServerIRCBot):
def __init__(self, nickname, server, port=6667):
SingleServerIRCBot.__init__(self, [(server, port)], nickname, nickname)
def on_nicknameinuse(self, c, e):
c.nick(c.get_nickname() + "_")
def on_welcome(self, c, e):
t = threading.Thread(target=self.lister)
t.setDaemon(True)
t.start()
def on_privmsg(self, c, e):
nick = nm_to_n(e.source())
c = self.connection
cmd = e.arguments()[0]
do = cmd.split()
if do[0] == "workerjoin":
c.privmsg(nick, "accepted")
mainters.append([nick, do[1]])
activity[nick] = time.time()
print "worker got, name:", nick, "job:", do[1]
self.retasker(do[1])
elif do[0] == "active":
activity[nick] = time.time()
def on_dccmsg(self, c, e):
pass
def on_dccchat(self, c, e):
pass
def lister(self):
while True:
print
print "worker list:"
for mainter in mainters:
if time.time() - activity[mainter[0]] > 30:
print "*", mainter[0], "has been removed"
mainters.remove(mainter)
del activity[mainter[0]]
self.retasker(mainter[1])
continue
print "mainter name:", mainter[0], "job:", mainter[1]
print "--------------------"
print
time.sleep(1*60)
def retasker(self, group, optask = ''):
ingroup = 0
for mainter in mainters:
if mainter[1] == group:
ingroup += 1
if ingroup == 0:
return
if projtasks.has_key(group):
grt = projtasks[group]
else:
grt = tasks
tpc = grt.split('|')
tpcn = round(len(tpc) / ingroup)
i = 0
for mainter in mainters:
if mainter[1] != group:
continue
tts = '|'.join(tpc[int(round(i * tpcn)):int(round((i + 1) * tpcn))])
if tts != False:
self.connection.privmsg(mainter[0], "tasklist " + tts)
i += 1
def main():
bot = MaintcontBot("maintcont", "irc.freenode.net")
bot.start()
if __name__ == "__main__":
main()
|
[
"stephen.larson@933566eb-c141-0410-b91b-f3a7fcfc7766"
] |
stephen.larson@933566eb-c141-0410-b91b-f3a7fcfc7766
|
71d1c10d5510aae57aba8c5b966cb8abcea7333d
|
11daa29e6234611fdff7002c0bd6359ee89187f6
|
/lab 4/PlanetWars lab(1)/PlanetWars lab/bots/Blanko.py
|
494b9632e83016dfb28d61692d1fa8afeed5e2b0
|
[] |
no_license
|
TomLatimer92/Artificial-Intelligence-for-Games
|
fef960fe4aacd347272961f3c625a72aed46b2e8
|
b9a6f754be4df33ad836ff423b00bae2448843cd
|
refs/heads/master
| 2020-04-16T01:45:19.644230
| 2017-06-09T02:44:52
| 2017-06-09T02:44:52
| 83,385,863
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,548
|
py
|
''' Simple "Blank" PlanetWars controller bot.
The Bot does nothing, but shows the minimum a bot needs to have.
See the `update` method which is where your code goes.
The `PlanetWars` `Player` object (see players.py), will contain your bot
controller instance. The Player will provide a current `GameInfo` instance
to your bot `update` method each time it is called.
The `gameinfo` instance is a facade of the state of the game for the `Player`,
and includes all planets and fleets that currently exist. Note that the
details are limited by "fog of war" vision and only match what you can see. If
you want to know more you'll need to scout!
A gameinfo instance has various (possibly useful) dict's for you to use:
# all planet and fleets (that you own or can see):
planets.
fleets.
# dict's of just your planets/fleets:
my_planets.
my_fleets.
# dict's of both neutral and enemy planets/fleets:
not_my_planets.
not_my_fleets.
# dict's of just the enemy planet/fleets (fog limited):
enemy_planets.
enemy_fleets.
You issue orders from your bot using the methods of the gameinfo instance.
gameinfo.planet_order(src, dest, ships)
gameinfo.fleet_order(src, dest, ships)
For example, to send 10 ships from planet src to planet dest, you would
say `gameinfo.planet_order(src, dest, 10)`.
There is also a player specific log if you want to leave a message.
gameinfo.log("Here's a message from the bot")
'''
class Blanko(object):
def update(self, gameinfo):
pass
|
[
"9718648@student.swin.edu.au"
] |
9718648@student.swin.edu.au
|
eac1ab541e86524ea94c08d6969cdedaa9046529
|
cf8e42cc0846e07c391fad400265ae7579299e7e
|
/App/musixscore/views.py
|
5f55a02212bbe6cf3c828f87d5edfddce58ec5e6
|
[] |
no_license
|
breezyrush/group1
|
0e39057665d6cda942af5e874fe55873f738df52
|
b9b259ad95c56512533f75101e77d35e7f6905c8
|
refs/heads/master
| 2021-01-21T14:01:36.752975
| 2015-12-17T13:50:57
| 2015-12-17T13:50:57
| 49,046,435
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,317
|
py
|
from django.shortcuts import render
from django.core.urlresolvers import reverse
from django.http import HttpResponse, HttpResponseRedirect
from .models import *
def home(request):
return HttpResponseRedirect(reverse('browse'))
def clear(request):
cart = Cart.objects.all()
for c in cart:
c.delete()
return HttpResponseRedirect(reverse('browse'))
def browse(request):
genre = request.GET.get('genre', '')
performer = request.GET.get('performer', '')
cd = request.GET.get('cd','')
if request.method == 'POST':
songs = request.POST.getlist('songs')
for song in songs:
song = Song.objects.get(pk=song)
i = Cart(song=song)
i.save()
genre_list = Genre.objects.all()
performer_list = []
cd_list = []
songs_list = []
if not genre == '':
performer_list = Performer.objects.all().filter(genre=genre)
if not genre == '' and not performer == '':
cd_list = CD.objects.all().filter(performer=performer)
if not genre == '' and not performer == '' and not cd == '':
songs_list = Song.objects.all().filter(cd=cd)
cart = Cart.objects.all()
return render(request, 'browse/browse.html', {
'genre_list': genre_list,
'performer_list' : performer_list,
'cd_list': cd_list,
'songs_list': songs_list,
'genre' : genre,
'performer' : performer,
'cd': cd,
'cart': cart,
})
|
[
"roselle.ebarle04@gmail.com"
] |
roselle.ebarle04@gmail.com
|
2ac6fd37659ab6b940ecee9fbc7eff07fd8ca0db
|
4ebad384d7964d38f31f0f21e79243e1a461c019
|
/Tugas.py
|
cf4664fea8597ce6978d8b8915fc08077aa6bd5f
|
[] |
no_license
|
azrilizha/TugasAkhir
|
7027c13e7eacb5550817c5a08a0266d99c7c531c
|
404bd4e668fcee2d1f5f45ef2243cb1c72f5172c
|
refs/heads/main
| 2023-02-09T23:13:43.910051
| 2021-01-03T09:16:36
| 2021-01-03T09:16:36
| 326,343,994
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 5,350
|
py
|
import csv
import os
import datetime
date = datetime.date.today()
nama_file = "data servis Virtual Komputer.csv"
def blank_screen():
os.system('cls' if os.name == 'nt' else 'clear')
barang = []
with open('data servis Virtual Komputer.csv', 'w', newline='') as csv_file:
barang = ["Tanggal","Nama Barang","Jumlah","Estimasi","Biaya Total"]
tulis = csv.writer(csv_file, delimiter=';')
tulis.writerow(barang)
tulis = csv.writer(csv_file)
#1 : Menambah atau menulis file data baru
def tambahkan():
blank_screen()
with open(nama_file, 'a', newline='') as csv_file:
print("TAMBAHKAN BARANG".center(90))
print("SERVIS ELEKTRONIK DAN KOMPUTER".center(90))
print("="*90)
date = datetime.date.today()
tanggal = date.strftime('%d-%m-%Y')
nama = input('Nama Barang : ')
jumlah = int(input('Jumlah : '))
biaya = int(input('Estimasi : Rp.'))
biaya_sementara = jumlah*biaya
print("Estimasi Biaya Servis Anda : Rp.", biaya_sementara)
data = [tanggal,nama,jumlah,biaya,biaya_sementara]
tulis = csv.writer(csv_file, delimiter=';')
tulis.writerow(data)
print("Data sukses ditambahkan..")
kembali()
#2 : Menampilkan data dari file sebelumnya
def tampil_data():
blank_screen()
barang = []
with open(nama_file) as csv_file:
read_data = csv.reader(csv_file, delimiter=";")
for row in read_data:
barang.append(row)
print("TAMPILKAN BARANG".center(90))
print("SERVIS ELEKTRONIK DAN KOMPUTER".center(90))
print("_"*90)
if len(barang) > 1:
number = -1
for dt in barang:
number += 1
print (f"{str(number)} \t {dt[0]:<15} {dt[1]:<18} {dt[2]:^17} {dt[3]:<19} {dt[4]:<18}")
print ("="*85)
kembali()
elif len(barang) <=1 :
print("TIDAK ADA BARANG".center(90))
kembali()
#3 : Menghapus data yang ingin dihapus
def hapus():
blank_screen()
barang = []
with open(nama_file) as csv_file:
read_data = csv.reader(csv_file, delimiter=";")
for row in read_data:
barang.append(row)
print("HAPUS DATA BARANG".center(90))
print("SERVIS ELEKTRONIK DAN KOMPUTER".center(90))
print("="*90)
if len(barang)>1:
number = 0
for dt in barang:
print (f"{str(number)} \t {dt[0]:<15} {dt[1]:<18} {dt[2]:^17} {dt[3]:<19} {dt[4]:<18}")
number += 1
print ("_"*90)
elif len(barang) <= 1:
print("TIDAK ADA BARANG".center(90))
kembali()
number = int(input('Pilih nomer : '))
del barang[number]
with open(nama_file, 'w', newline='') as csv_file:
tulis = csv.writer(csv_file, delimiter=';')
for dt in barang:
data = [dt[0],dt[1],dt[2],dt[3],dt[4]]
tulis.writerow(data)
print("Data sukses dihapus..")
kembali()
#4 mengedit data
def edit_data():
blank_screen()
barang = []
with open(nama_file, mode="r") as csv_file:
read_data = csv.reader(csv_file, delimiter=";")
for row in read_data:
barang.append(row)
print("UBAH DATA BARANG".center(90))
print("SERVIS ELEKTRONIK DAN KOMPUTER".center(90))
print("="*90)
if len(barang) > 1:
number = 0
for dt in barang:
print (f"{str(number)} \t {dt[0]:<15} {dt[1]:<18} {dt[2]:^17} {dt[3]:<19} {dt[4]:<18}")
number += 1
print ("_"*90)
number = int(input('Pilih nomer : '))
date = datetime.date.today()
tanggal = date.strftime('%d-%m-%Y')
nama = input('Nama Barang : ')
jumlah = int(input('Jumlah : '))
biaya = int(input('Estimasi : Rp.'))
biaya_sementara = jumlah*biaya
barang[number][0] = tanggal
barang[number][1] = nama
barang[number][2] = jumlah
barang[number][3] = biaya
barang[number][4] = biaya_sementara
with open(nama_file, 'w', newline='') as csv_file:
tulis = csv.writer(csv_file, delimiter=';')
for dt in barang:
data = [dt[0],dt[1],dt[2],dt[3],dt[4]]
tulis.writerow(data)
print("Data sukses diubah..")
kembali()
elif len(barang) <= 1:
print("TIDAK ADA BARANG".center(90))
kembali()
def beranda():
blank_screen()
print("="*72)
print("SELAMAT DATANG".center(72))
print('APLIKASI PENCATATAN SERVIS ELEKTRONIK DAN KOMPUTER'.center(72))
print("="*72)
print('''
|99| Keluar
|1| Tambah data Servis
|2| Lihat data Servis
|3| Hapus data Servis (Jika sudah)
|4| Edit data Servis''')
print("="*72)
pilihan_menu = input(" Pilih tindakan : ")
if(pilihan_menu == "1"):
tambahkan()
elif(pilihan_menu == "2"):
tampil_data()
elif(pilihan_menu == "3"):
hapus()
elif(pilihan_menu == "4"):
edit_data()
elif(pilihan_menu == "99"):
exit()
else:
kembali()
def kembali():
input("\n Tekan enter untuk kembali ke beranda..")
beranda()
if __name__== "__main__":
while True:
beranda()
|
[
"noreply@github.com"
] |
azrilizha.noreply@github.com
|
d3ef66b13c17f8fe1ee580b188cfbdc448362ae2
|
8a2736b2f6ff848d0296aaf64f615ffab10d657d
|
/b_NaiveBayes/Original/Basic.py
|
c43274031e68abacbf14c82fc4271fc557f866f9
|
[] |
no_license
|
amorfortune/MachineLearning
|
4d73edee44941da517f19ff0947dfcc2aab80bb1
|
1923557870002e1331306f651ad7fc7a1c1c1344
|
refs/heads/master
| 2021-01-09T06:02:56.852816
| 2017-02-03T07:22:22
| 2017-02-03T07:22:22
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,477
|
py
|
import numpy as np
from math import pi, exp
sqrt_pi = (2 * pi) ** 0.5
class NBFunctions:
@staticmethod
def gaussian(x, mu, sigma):
return exp(-(x - mu) ** 2 / (2 * sigma ** 2)) / (sqrt_pi * sigma)
@staticmethod
def gaussian_maximum_likelihood(labelled_x, n_category, dim):
mu = [np.sum(
labelled_x[c][dim]) / len(labelled_x[c][dim]) for c in range(n_category)]
sigma = [np.sum(
(labelled_x[c][dim] - mu[c]) ** 2) / len(labelled_x[c][dim]) for c in range(n_category)]
def func(_c):
def sub(_x):
return NBFunctions.gaussian(_x, mu[_c], sigma[_c])
return sub
return [func(_c=c) for c in range(n_category)]
class NaiveBayes:
def __init__(self):
self._x = self._y = None
self._data = self._func = None
self._n_possibilities = None
self._labelled_x = self._label_zip = None
self._cat_counter = self._con_counter = None
self.label_dic = self._feat_dics = None
def __getitem__(self, item):
if isinstance(item, str):
return getattr(self, "_" + item)
def feed_data(self, x, y, sample_weights=None):
pass
def feed_sample_weights(self, sample_weights=None):
pass
def get_prior_probability(self, lb=1):
return [(_c_num + lb) / (len(self._y) + lb * len(self._cat_counter))
for _c_num in self._cat_counter]
def fit(self, x=None, y=None, sample_weights=None, lb=1):
if x is not None and y is not None:
self.feed_data(x, y, sample_weights)
self._func = self._fit(lb)
def _fit(self, lb):
pass
def predict_one(self, x, get_raw_result=False):
if isinstance(x, np.ndarray):
x = x.tolist()
else:
x = x[:]
x = self._transfer_x(x)
m_arg, m_probability = 0, 0
for i in range(len(self._cat_counter)):
p = self._func(x, i)
if p > m_probability:
m_arg, m_probability = i, p
if not get_raw_result:
return self.label_dic[m_arg]
return m_probability
def predict(self, x, get_raw_result=False):
return np.array([self.predict_one(xx, get_raw_result) for xx in x])
def estimate(self, x, y):
y_pred = self.predict(x)
print("Acc: {:12.6} %".format(100 * np.sum(y_pred == y) / len(y)))
def _transfer_x(self, x):
return x
|
[
"syameimaru_kurumi@pku.edu.cn"
] |
syameimaru_kurumi@pku.edu.cn
|
5b7118aae6780676a9b1e5dd9aaf4e5714a2dd11
|
36a094a44450d1353e9dfc8242a54e2bb70bb9b5
|
/src/ebonite/build/helpers.py
|
4d914e3f781459de8dab388a9fd817735874b529
|
[
"Apache-2.0"
] |
permissive
|
zyfra/ebonite
|
52843ce847a3fd28e4ba8ab64d986dcfb23671c0
|
b01b662c43709d152940f488574d78ff25f89ecf
|
refs/heads/master
| 2022-11-29T21:20:02.358797
| 2020-10-19T12:22:49
| 2020-10-19T12:22:49
| 221,721,146
| 275
| 18
|
Apache-2.0
| 2022-11-21T22:44:02
| 2019-11-14T14:49:47
|
Python
|
UTF-8
|
Python
| false
| false
| 1,239
|
py
|
from functools import wraps
from typing import List, Callable
from pyjackson.utils import get_function_fields, turn_args_to_kwargs
def validate_kwargs(f=None, *, allowed: List[str] = None, allowed_funcs: List[Callable] = None):
def inner(func):
all_fields = allowed or []
if allowed_funcs is not None:
all_fields += [field.name for func in allowed_funcs for field in get_function_fields(func, False)]
all_fields = set(all_fields)
fields = get_function_fields(func, False)
all_fields.update(field.name for field in fields)
@wraps(func)
def inner_inner(self, *args, **kwargs):
if len(args) > len(fields):
raise TypeError(
f'{func.__name__}() takes {len(fields)} positional arguments but {len(args)} were given')
kwargs = turn_args_to_kwargs(func, args, kwargs, False)
extra_kwargs = set(kwargs.keys()).difference(all_fields)
if len(extra_kwargs) > 0:
raise TypeError(f'{extra_kwargs} are an invalid keyword arguments for this function')
return func(self, **kwargs)
return inner_inner
if f is None:
return inner
return inner(f)
|
[
"noreply@github.com"
] |
zyfra.noreply@github.com
|
f6a5c9b594417257ba6c45214cb08941d6ed3a86
|
66c3ff83c3e3e63bf8642742356f6c1817a30eca
|
/.vim/tmp/neocomplete/tags_output/=+home=+abel=+.virtualenvs=+django=+lib=+python2.7=+site-packages=+django=+views=+generic=+detail.py
|
a3f8b315eb315bda85117f9e7f2d3232d007aa1d
|
[] |
no_license
|
pacifi/vim
|
0a708e8bc741b4510a8da37da0d0e1eabb05ec83
|
22e706704357b961acb584e74689c7080e86a800
|
refs/heads/master
| 2021-05-20T17:18:10.481921
| 2020-08-06T12:38:58
| 2020-08-06T12:38:58
| 30,074,530
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,602
|
py
|
!_TAG_FILE_FORMAT 2 /extended format; --format=1 will not append ;" to lines/
!_TAG_FILE_SORTED 1 /0=unsorted, 1=sorted, 2=foldcase/
!_TAG_PROGRAM_AUTHOR Darren Hiebert /dhiebert@users.sourceforge.net/
!_TAG_PROGRAM_NAME Exuberant Ctags //
!_TAG_PROGRAM_URL http://ctags.sourceforge.net /official site/
!_TAG_PROGRAM_VERSION 5.9~svn20110310 //
BaseDetailView /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^class BaseDetailView(SingleObjectMixin, View):$/;" c
DetailView /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^class DetailView(SingleObjectTemplateResponseMixin, BaseDetailView):$/;" c
SingleObjectMixin /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^class SingleObjectMixin(ContextMixin):$/;" c
SingleObjectTemplateResponseMixin /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^class SingleObjectTemplateResponseMixin(TemplateResponseMixin):$/;" c
context_object_name /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ context_object_name = None$/;" v class:SingleObjectMixin
get /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ def get(self, request, *args, **kwargs):$/;" m class:BaseDetailView
get_context_data /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ def get_context_data(self, **kwargs):$/;" m class:SingleObjectMixin
get_context_object_name /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ def get_context_object_name(self, obj):$/;" m class:SingleObjectMixin
get_object /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ def get_object(self, queryset=None):$/;" m class:SingleObjectMixin
get_queryset /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ def get_queryset(self):$/;" m class:SingleObjectMixin
get_slug_field /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ def get_slug_field(self):$/;" m class:SingleObjectMixin
get_template_names /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ def get_template_names(self):$/;" m class:SingleObjectTemplateResponseMixin
model /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ model = None$/;" v class:SingleObjectMixin
pk_url_kwarg /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ pk_url_kwarg = 'pk'$/;" v class:SingleObjectMixin
queryset /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ queryset = None$/;" v class:SingleObjectMixin
slug_field /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ slug_field = 'slug'$/;" v class:SingleObjectMixin
slug_url_kwarg /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ slug_url_kwarg = 'slug'$/;" v class:SingleObjectMixin
template_name_field /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ template_name_field = None$/;" v class:SingleObjectTemplateResponseMixin
template_name_suffix /home/abel/.virtualenvs/django/lib/python2.7/site-packages/django/views/generic/detail.py /^ template_name_suffix = '_detail'$/;" v class:SingleObjectTemplateResponseMixin
|
[
"pacifi.bnr@gmail.com"
] |
pacifi.bnr@gmail.com
|
77f5e2718963f38e6f8d3b4f94db63d867327aac
|
fa074f02d654df1a60e5f5d6cc0e53279f352ba3
|
/Pilot3/P3B7/metrics.py
|
2e3b8e8867ce592d35fdca05cce30c73ebec6bb8
|
[
"MIT"
] |
permissive
|
samcom12/Benchmarks-3
|
2ff5b943df7a0b4f20f8cfa6a9373383a74687e5
|
a48c85a4d4d76905c3392b18e42bea4bd28c518c
|
refs/heads/master
| 2023-08-29T19:44:27.455414
| 2021-08-02T14:34:52
| 2021-08-02T14:34:52
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 867
|
py
|
from pytorch_lightning.metrics.classification import F1
class F1Meter:
def __init__(self, tasks, average='micro'):
self.metrics = self._create_metrics(tasks, average)
def _create_metrics(self, tasks, avg):
"""Create F1 metrics for each of the tasks
Args:
tasks: dictionary of tasks and their respective number
of classes
avg: either 'micro' or 'macro'
"""
return {t: F1(c, average=avg) for t, c in tasks.items()}
def f1(self, y_hat, y):
"""Get the batch F1 score"""
scores = {}
for task, pred in y_hat.items():
scores[task] = self.metrics[task](pred, y[task])
return scores
def compute(self):
"""Compute the F1 score over all batches"""
return {t: f1.compute().item() for t, f1 in self.metrics.items()}
|
[
"young.todd.mk@gmail.com"
] |
young.todd.mk@gmail.com
|
a467cdec749495cd2cef258f4ff84b48fc93d69b
|
0686c615c9a78b4aae8b7be064d7ee6653f45fff
|
/GUI/Contain/lable_frame.py
|
f75d7fdf4d979a6e79fa4101c09e73e1d2dd4de2
|
[] |
no_license
|
QuangVuong85/Tkinter
|
647bf6b8873dd9698befcad131ebdead70f5f0ee
|
a87f31b9e805d4fad0ee16616ae8ef9b42371b4e
|
refs/heads/master
| 2020-06-04T10:03:52.941390
| 2019-06-16T09:55:56
| 2019-06-16T09:55:56
| 191,978,270
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 551
|
py
|
from tkinter import *
from tkinter import messagebox
import random as rd
def random_value():
messagebox.showinfo("Message", "Value random=%f"%rd.random())
master = Tk()
master.title("Title")
lableframe = LabelFrame(master, fg="red", font=14, text="Random value")
lableframe.place(relwidth = '1.0', relheight = '0.3')
btn = Button(lableframe, text = "Click here", fg = "blue", command=random_value)
btn.pack(side=BOTTOM)
lbl = Label(lableframe, text="Lable Test LableFrame", font=30)
lbl.pack(side=BOTTOM)
master.mainloop()
|
[
"quangvuong0805@gmail.com"
] |
quangvuong0805@gmail.com
|
4525aa767d23f6bb83dd9dc9727e3368900f2e47
|
01f321b011953de639030b010249ec721446e71b
|
/virtual/bin/easy_install-3.6
|
5395a95d1f956a344d068bdc788dada7c9a1edfe
|
[] |
no_license
|
gabrielcoder247/myportfolio
|
a5b37fd809eeb46926f72d9409d31f29f842d179
|
e7e08045d6cea0f8393379bc2feb878cef25ff63
|
refs/heads/master
| 2020-03-30T03:37:15.111963
| 2018-09-28T06:55:31
| 2018-09-28T06:55:31
| 150,698,201
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 277
|
6
|
#!/home/gabrielcoder/Documents/portfolio/virtual/bin/python3.6
# -*- coding: utf-8 -*-
import re
import sys
from setuptools.command.easy_install import main
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
sys.exit(main())
|
[
"gabrielcoder247@gmail.com"
] |
gabrielcoder247@gmail.com
|
c026325912bbc226f2020f4804cb3964da43e858
|
4252102a1946b2ba06d3fa914891ec7f73570287
|
/pylearn2/linear/linear_transform.py
|
657282a1c1dbc8111ae74b874623568fcce31f81
|
[] |
no_license
|
lpigou/chalearn2014
|
21d487f314c4836dd1631943e20f7ab908226771
|
73b99cdbdb609fecff3cf85e500c1f1bfd589930
|
refs/heads/master
| 2020-05-17T00:08:11.764642
| 2014-09-24T14:42:00
| 2014-09-24T14:42:00
| 24,418,815
| 2
| 3
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,812
|
py
|
"""
.. todo::
WRITEME
"""
__authors__ = "Ian Goodfellow"
__copyright__ = "Copyright 2010-2012, Universite de Montreal"
__credits__ = ["Ian Goodfellow"]
__license__ = "3-clause BSD"
__maintainer__ = "Ian Goodfellow"
__email__ = "goodfeli@iro"
class LinearTransform(object):
"""
A generic class describing a LinearTransform. Derived classes may implement linear
transformation as a dense matrix multiply, a convolution, etc.
Classes inheriting from this should also inherit from TheanoLinear's LinearTransform
This class does not directly inherit from TheanoLinear's LinearTransform because
most LinearTransform classes in pylearn2 will inherit from a TheanoLinear derived
class and don't want to end up inheriting from TheanoLinear by two paths
This class is basically just here as a placeholder to show you what extra methods you
need to add to make a TheanoLinear LinearTransform work with pylearn2
"""
def get_params(self):
"""
Return a list of parameters that govern the linear transformation
"""
raise NotImplementedError()
def get_weights_topo(self):
"""
Return a batch of filters, formatted topologically.
This only really makes sense if you are working with a topological space,
such as for a convolution operator.
If your transformation is defined on a VectorSpace then some other class
like a ViewConverter will need to transform your vector into a topological
space; you are not responsible for doing so here.
"""
raise NotImplementedError()
def set_batch_size(self, batch_size):
"""
Some transformers such as Conv2D have a fixed batch size.
Use this method to change the batch size.
"""
pass
|
[
"lionelpigou@gmail.com"
] |
lionelpigou@gmail.com
|
864fc05a6117b18a00d629f8d80d7a448f6517f9
|
4c7750cd7d645ce0704032bf4ca9afd33b37020d
|
/configs/top_down/resnet/mpii/res50_mpii_256x256.py
|
e83aa9400a85c3017812fb8ffb293601bde131e0
|
[
"Apache-2.0"
] |
permissive
|
Nabin-Subedi/mmpose
|
c5239bb8d6155c724030736e51a44aba87e34657
|
586cea709a407c4e9cdd5d2d5adc23f8caec924b
|
refs/heads/master
| 2023-01-11T06:48:57.703848
| 2020-11-18T03:11:24
| 2020-11-18T03:11:24
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,346
|
py
|
log_level = 'INFO'
load_from = None
resume_from = None
dist_params = dict(backend='nccl')
workflow = [('train', 1)]
checkpoint_config = dict(interval=10)
evaluation = dict(interval=10, metric='PCKh', key_indicator='PCKh')
optimizer = dict(
type='Adam',
lr=5e-4,
)
optimizer_config = dict(grad_clip=None)
# learning policy
lr_config = dict(
policy='step',
warmup='linear',
warmup_iters=500,
warmup_ratio=0.001,
step=[170, 200])
total_epochs = 210
log_config = dict(
interval=50, hooks=[
dict(type='TextLoggerHook'),
])
channel_cfg = dict(
num_output_channels=16,
dataset_joints=16,
dataset_channel=list(range(16)),
inference_channel=list(range(16)))
# model settings
model = dict(
type='TopDown',
pretrained='torchvision://resnet50',
backbone=dict(type='ResNet', depth=50),
keypoint_head=dict(
type='TopDownSimpleHead',
in_channels=2048,
out_channels=channel_cfg['num_output_channels'],
),
train_cfg=dict(),
test_cfg=dict(
flip_test=True,
post_process=True,
shift_heatmap=True,
unbiased_decoding=False,
modulate_kernel=11),
loss_pose=dict(type='JointsMSELoss', use_target_weight=True))
data_cfg = dict(
image_size=[256, 256],
heatmap_size=[64, 64],
num_output_channels=channel_cfg['num_output_channels'],
num_joints=channel_cfg['dataset_joints'],
dataset_channel=channel_cfg['dataset_channel'],
inference_channel=channel_cfg['inference_channel'],
use_gt_bbox=True,
bbox_file=None,
)
train_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='TopDownRandomFlip', flip_prob=0.5),
dict(
type='TopDownGetRandomScaleRotation', rot_factor=40, scale_factor=0.5),
dict(type='TopDownAffine'),
dict(type='ToTensor'),
dict(
type='NormalizeTensor',
mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225]),
dict(type='TopDownGenerateTarget', sigma=2),
dict(
type='Collect',
keys=['img', 'target', 'target_weight'],
meta_keys=[
'image_file', 'joints_3d', 'joints_3d_visible', 'center', 'scale',
'rotation', 'flip_pairs'
]),
]
val_pipeline = [
dict(type='LoadImageFromFile'),
dict(type='TopDownAffine'),
dict(type='ToTensor'),
dict(
type='NormalizeTensor',
mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, 0.225]),
dict(
type='Collect',
keys=['img'],
meta_keys=['image_file', 'center', 'scale', 'rotation', 'flip_pairs']),
]
test_pipeline = val_pipeline
data_root = 'data/mpii'
data = dict(
samples_per_gpu=64,
workers_per_gpu=2,
train=dict(
type='TopDownMpiiDataset',
ann_file=f'{data_root}/annotations/mpii_train.json',
img_prefix=f'{data_root}/images/',
data_cfg=data_cfg,
pipeline=train_pipeline),
val=dict(
type='TopDownMpiiDataset',
ann_file=f'{data_root}/annotations/mpii_val.json',
img_prefix=f'{data_root}/images/',
data_cfg=data_cfg,
pipeline=val_pipeline),
test=dict(
type='TopDownMpiiDataset',
ann_file=f'{data_root}/annotations/mpii_val.json',
img_prefix=f'{data_root}/images/',
data_cfg=data_cfg,
pipeline=test_pipeline),
)
|
[
"noreply@github.com"
] |
Nabin-Subedi.noreply@github.com
|
58245768cd84f9603e8f689a19db03e72f3ccfd5
|
343e2805922596f5f7028624cbe293dc26cfe0a7
|
/binary_search_tree_tests.py
|
d9f4485c115b7167840fdc6ceaadee166fe9e083
|
[] |
no_license
|
cdrn/Algorithms
|
73e556fe7f9e7116760879ee279ceec1ec3b527d
|
5a4d7621466ae86bbeafb137f77652c736f2d5d3
|
refs/heads/master
| 2021-09-15T16:13:57.215421
| 2018-06-06T12:28:33
| 2018-06-06T12:28:33
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 787
|
py
|
import pytest
import binary_search_tree
# setup
def init_bst():
bst = binary_search_tree.BinarySearchTree(25)
bst.insert(bst.root, 10)
bst.insert(bst.root, 15)
bst.insert(bst.root, 500)
bst.insert(bst.root, 1000)
bst.insert(bst.root, 4)
return bst
def test_bst_init():
bst = init_bst()
assert bst.root.value == 25
def test_add_node_bst():
bst = init_bst()
bst.insert(bst.root, 10)
print(bst.root.left)
assert bst.root.left.value == 10
def test_bst_contains():
bst = init_bst()
assert bst.contains(bst.root, 500)
def test_bst_contains_false():
bst = init_bst()
print(bst.contains(bst.root, 12512))
assert bst.contains(bst.root, 12512) == False
def test_bst_get_parent():
bst = init_bst()
assert bst.find_parent(bst.root, 1000).value == 500
|
[
"chrisdoran@protonmail.com"
] |
chrisdoran@protonmail.com
|
3fb6d2edd1c23332a727301f124c23df1d0b4df0
|
b8717e92625da4c754a84b5bb2bc56545b5bdccf
|
/azext_iot/operations/generic.py
|
95a70b63587e749c138c98b3056526671b87fc83
|
[
"MIT",
"LicenseRef-scancode-generic-cla"
] |
permissive
|
andrewhill00001/azure-iot-cli-extension
|
b158456a649eb60ea5dc85778b70c752710522ad
|
2b1bbedd91a4253548b5edb82fd3d8cf26f69dfd
|
refs/heads/master
| 2020-03-28T20:42:27.320102
| 2018-09-07T21:18:40
| 2018-09-07T21:18:40
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,463
|
py
|
# 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.
# --------------------------------------------------------------------------------------------
from knack.util import CLIError
from azext_iot.assets.user_messages import ERROR_PARAM_TOP_OUT_OF_BOUNDS
def _execute_query(query, query_method, top=None):
payload = []
headers = {}
if top:
headers['x-ms-max-item-count'] = str(top)
result, token = query_method(query, headers)
payload.extend(result)
while token:
# In case requested count is > service max page size
if top:
pl = len(payload)
if pl < top:
page = top - pl
headers['x-ms-max-item-count'] = str(page)
else:
break
headers['x-ms-continuation'] = token
result, token = query_method(query, headers)
payload.extend(result)
return payload[:top] if top else payload
def _process_top(top, upper_limit=None):
# Consider top == 0
if not top and top != 0:
return None
if top == -1 and not upper_limit:
return None
if top <= 0 or (upper_limit and top > upper_limit):
raise CLIError(ERROR_PARAM_TOP_OUT_OF_BOUNDS(upper_limit))
return int(top)
|
[
"noreply@github.com"
] |
andrewhill00001.noreply@github.com
|
d52046d70e0b72fb5f903072c94bfbe2ee87fac2
|
35bb363d97e33861c76106251991410311f193ca
|
/maskrcnn_benchmark/utils/checkpoint.py
|
e095937236eff225b5eb9cb0c40bc3e18b666bd2
|
[
"MIT"
] |
permissive
|
krumo/Domain-Adaptive-Faster-RCNN-PyTorch
|
82c17dda3d133d6cbae8b16d5a6653e8d1c38df5
|
0da7af8ae4e62d86fb97239026ef1875470e4ca0
|
refs/heads/master
| 2022-07-25T02:39:28.775147
| 2022-07-11T15:04:13
| 2022-07-11T15:04:13
| 211,833,935
| 298
| 77
|
MIT
| 2019-10-27T22:09:33
| 2019-09-30T10:22:00
|
Python
|
UTF-8
|
Python
| false
| false
| 4,810
|
py
|
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import logging
import os
import torch
from maskrcnn_benchmark.utils.model_serialization import load_state_dict
from maskrcnn_benchmark.utils.c2_model_loading import load_c2_format
from maskrcnn_benchmark.utils.imports import import_file
from maskrcnn_benchmark.utils.model_zoo import cache_url
class Checkpointer(object):
def __init__(
self,
model,
optimizer=None,
scheduler=None,
save_dir="",
save_to_disk=None,
logger=None,
):
self.model = model
self.optimizer = optimizer
self.scheduler = scheduler
self.save_dir = save_dir
self.save_to_disk = save_to_disk
if logger is None:
logger = logging.getLogger(__name__)
self.logger = logger
def save(self, name, **kwargs):
if not self.save_dir:
return
if not self.save_to_disk:
return
data = {}
data["model"] = self.model.state_dict()
if self.optimizer is not None:
data["optimizer"] = self.optimizer.state_dict()
if self.scheduler is not None:
data["scheduler"] = self.scheduler.state_dict()
data.update(kwargs)
save_file = os.path.join(self.save_dir, "{}.pth".format(name))
self.logger.info("Saving checkpoint to {}".format(save_file))
torch.save(data, save_file)
self.tag_last_checkpoint(save_file)
def load(self, f=None):
# if self.has_checkpoint():
# # override argument with existing checkpoint
# f = self.get_checkpoint_file()
if not f:
# no checkpoint could be found
self.logger.info("No checkpoint found. Initializing model from scratch")
return {}
self.logger.info("Loading checkpoint from {}".format(f))
checkpoint = self._load_file(f)
self._load_model(checkpoint)
if "optimizer" in checkpoint and self.optimizer:
self.logger.info("Loading optimizer from {}".format(f))
self.optimizer.load_state_dict(checkpoint.pop("optimizer"))
if "scheduler" in checkpoint and self.scheduler:
self.logger.info("Loading scheduler from {}".format(f))
self.scheduler.load_state_dict(checkpoint.pop("scheduler"))
# return any further checkpoint data
return checkpoint
def has_checkpoint(self):
save_file = os.path.join(self.save_dir, "last_checkpoint")
return os.path.exists(save_file)
def get_checkpoint_file(self):
save_file = os.path.join(self.save_dir, "last_checkpoint")
try:
with open(save_file, "r") as f:
last_saved = f.read()
last_saved = last_saved.strip()
except IOError:
# if file doesn't exist, maybe because it has just been
# deleted by a separate process
last_saved = ""
return last_saved
def tag_last_checkpoint(self, last_filename):
save_file = os.path.join(self.save_dir, "last_checkpoint")
with open(save_file, "w") as f:
f.write(last_filename)
def _load_file(self, f):
return torch.load(f, map_location=torch.device("cpu"))
def _load_model(self, checkpoint):
load_state_dict(self.model, checkpoint.pop("model"))
class DetectronCheckpointer(Checkpointer):
def __init__(
self,
cfg,
model,
optimizer=None,
scheduler=None,
save_dir="",
save_to_disk=None,
logger=None,
):
super(DetectronCheckpointer, self).__init__(
model, optimizer, scheduler, save_dir, save_to_disk, logger
)
self.cfg = cfg.clone()
def _load_file(self, f):
# catalog lookup
if f.startswith("catalog://"):
paths_catalog = import_file(
"maskrcnn_benchmark.config.paths_catalog", self.cfg.PATHS_CATALOG, True
)
catalog_f = paths_catalog.ModelCatalog.get(f[len("catalog://") :])
self.logger.info("{} points to {}".format(f, catalog_f))
f = catalog_f
# download url files
if f.startswith("http"):
# if the file is a url path, download it and cache it
cached_f = cache_url(f)
self.logger.info("url {} cached in {}".format(f, cached_f))
f = cached_f
# convert Caffe2 checkpoint from pkl
if f.endswith(".pkl"):
return load_c2_format(self.cfg, f)
# load native detectron.pytorch checkpoint
loaded = super(DetectronCheckpointer, self)._load_file(f)
if "model" not in loaded:
loaded = dict(model=loaded)
return loaded
|
[
"whrzxzero@gmail.com"
] |
whrzxzero@gmail.com
|
3e0ab987c99c4e799ac09dce61e5b0b24b715612
|
6ed8b908eac26b029214078a58b2791dadd2c968
|
/2048puzzle/PlayerAI_3.py
|
9f9ffb04d2f8d00473afb317937339c7096e81b1
|
[] |
no_license
|
Kunapalli/leetcode
|
d73d6b4abec93da4a3a2dc92709dbc7b14144bbc
|
5fbaac2dd6d5f74b20de6da8a41bb6af4c73ec30
|
refs/heads/master
| 2020-04-25T20:02:18.396671
| 2019-05-07T04:53:16
| 2019-05-07T04:53:16
| 173,041,225
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 4,509
|
py
|
from random import randint
from BaseAI import BaseAI
import time
import Grid_3
import math
def terminal(state):
return not state.canMove()
def getChild(state, dir):
t = state.clone()
moved = t.move(dir)
return (t, moved)
def children(state):
c = []
for dir in state.getAvailableMoves():
(child, moved) = getChild(state, dir)
if moved:
c.append((child,dir))
return c
class PlayerAI(BaseAI):
def __init__(self):
self.previous_max_score = 0
self.previous_min_score = float('inf')
self.available_cells = 14
def getMove(self, state):
start = time.process_time()
limit = 4
(dir, utility) = self.maximize(state, float('-inf'), float('inf'), limit, start)
return dir
def emptyness(self, state):
return (len(state.getAvailableCells())/16.0)* 100
def smoothness(self, state):
u2 = 0
for i in range(state.size):
for j in range(state.size - 1):
if state.map[i][j] == state.map[i][j+1]:
u2 += 1
for j in range(state.size):
for i in range(state.size - 1):
if state.map[i][j] == state.map[i+1][j]:
u2 += 1
return (u2/16.0)*100.0
def edge_bonus(self, state):
e = 0
m = max(max(state.map[1][1], state.map[1][2]), max(state.map[2][1], state.map[2][2]))
for x,y in [(0,0), (0,1), (0,2), (0,3), (1,0), (1,3), (2,0), (2,3), (3,0), (3,1), (3,2), (3,3)]:
for v in range(1,13,1):
if state.map[x][y] > (2**v)*m:
e += v
break
return e
def monotonicity(self, state):
m = 0
a1 = True
a2 = True
for i in range(state.size):
a1 = a1 and (state.map[i][0] <= state.map[i][1] <= state.map[i][2] <= state.map[i][3])
a2 = a2 and (state.map[i][0] >= state.map[i][1] >= state.map[i][2] >= state.map[i][3])
if a1 or a2:
m += 10
a3 = True
a4 = True
for j in range(state.size):
a3 = a4 and (state.map[0][j] <= state.map[1][j] <= state.map[2][j] <= state.map[j][3])
a4 = a4 and (state.map[0][j] >= state.map[1][j] >= state.map[2][j] >= state.map[j][3])
if a3 or a4:
m += 10
if (a1 and a4) or (a1 and a3) or (a2 and a4) or (a2 and a3):
m += 10
return (m/40.0)*100
def max_weight(self, state):
return (state.getMaxTile()/32768)*100.0
def eval(self, state):
h1 = self.emptyness(state)
h2 = self.smoothness(state)
h3 = self.edge_bonus(state)
h4 = self.monotonicity(state)
h5 = math.log(self.max_weight(state),2)
return (0, 3*h1 + h2 + h4 + h5) # 1024, 512, 256, 128
def maximize(self, state, alpha, beta, depth, start):
if terminal(state) or depth == 0 or (time.process_time() - start > 0.195):
return self.eval(state)
(maxDir, maxUtility) = (None, float('-inf'))
for (child,dir) in children(state):
(_,utility) = self.minimize(child, alpha, beta, depth-1, start)
if utility > maxUtility:
(maxDir, maxUtility) = (dir, utility)
if maxUtility >= beta:
break
if maxUtility > alpha:
alpha = maxUtility
return (maxDir, maxUtility)
def minimize(self, state, alpha, beta, depth, start):
if terminal(state) or depth == 0 or (time.process_time() - start > 0.195):
return self.eval(state)
(minDir, minUtility) = (None, float('inf'))
L = state.getAvailableCells()
children = []
for pos in L:
grid2 = state.clone()
grid4 = state.clone()
grid2.insertTile(pos,2)
grid4.insertTile(pos,2)
children.append(grid2)
children.append(grid4)
for child in children:
(_, utility) = self.maximize(child, alpha, beta, depth-1, start)
if utility < minUtility:
minUtility = utility
if minUtility <= alpha:
break
if minUtility < beta:
beta = minUtility
return (0, minUtility)
|
[
"sharma@Sharmas-MacBook-Pro.local"
] |
sharma@Sharmas-MacBook-Pro.local
|
25b320acb305f818264ed9fbc78710bc50781607
|
744771e7ee537d9f13018f2158cc85ea2ba4331c
|
/opencv/camera/cvimport.py
|
1761733a694fe55c926e28fa1b21d6034fb6a52f
|
[] |
no_license
|
Miragecore/python_study
|
b654269e9c0a202dd72aa341380f6bbecccbe394
|
475477590afd12a7e93444bea2329db9f74d9e10
|
refs/heads/master
| 2023-01-18T14:56:00.233073
| 2023-01-09T01:46:52
| 2023-01-09T01:46:52
| 59,117,762
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 102
|
py
|
import site
site.addsitedir("/usr/local/lib/python2.7/site-packages")
import cv2
import numpy as np
|
[
"MirageKimYs@Gmail.com"
] |
MirageKimYs@Gmail.com
|
70a8dd326fb2ca09e7b9dafc697a919fc5f4956e
|
e56214188faae8ebfb36a463e34fc8324935b3c2
|
/test/test_hcl_firmware.py
|
773860479af00219eb4688debc01670faea8c88d
|
[
"Apache-2.0"
] |
permissive
|
CiscoUcs/intersight-python
|
866d6c63e0cb8c33440771efd93541d679bb1ecc
|
a92fccb1c8df4332ba1f05a0e784efbb4f2efdc4
|
refs/heads/master
| 2021-11-07T12:54:41.888973
| 2021-10-25T16:15:50
| 2021-10-25T16:15:50
| 115,440,875
| 25
| 18
|
Apache-2.0
| 2020-03-02T16:19:49
| 2017-12-26T17:14:03
|
Python
|
UTF-8
|
Python
| false
| false
| 1,857
|
py
|
# coding: utf-8
"""
Cisco Intersight
Cisco Intersight is a management platform delivered as a service with embedded analytics for your Cisco and 3rd party IT infrastructure. This platform offers an intelligent level of management that enables IT organizations to analyze, simplify, and automate their environments in more advanced ways than the prior generations of tools. Cisco Intersight provides an integrated and intuitive management experience for resources in the traditional data center as well as at the edge. With flexible deployment options to address complex security needs, getting started with Intersight is quick and easy. Cisco Intersight has deep integration with Cisco UCS and HyperFlex systems allowing for remote deployment, configuration, and ongoing maintenance. The model-based deployment works for a single system in a remote location or hundreds of systems in a data center and enables rapid, standardized configuration and deployment. It also streamlines maintaining those systems whether you are working with small or very large configurations. # noqa: E501
The version of the OpenAPI document: 1.0.9-1295
Contact: intersight@cisco.com
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_import
import unittest
import intersight
from intersight.models.hcl_firmware import HclFirmware # noqa: E501
from intersight.rest import ApiException
class TestHclFirmware(unittest.TestCase):
"""HclFirmware unit test stubs"""
def setUp(self):
pass
def tearDown(self):
pass
def testHclFirmware(self):
"""Test HclFirmware"""
# FIXME: construct object with mandatory attributes with example values
# model = intersight.models.hcl_firmware.HclFirmware() # noqa: E501
pass
if __name__ == '__main__':
unittest.main()
|
[
"ucs-build@github.com"
] |
ucs-build@github.com
|
d9ebb9da6703c60aa1b6bae5d27a4646a86c8585
|
9405aa570ede31a9b11ce07c0da69a2c73ab0570
|
/aliyun-python-sdk-petadata/aliyunsdkpetadata/request/v20160101/DescribeInstanceInfoRequest.py
|
9e54e048432bd24eba7c3baff1ba1d512898802c
|
[
"Apache-2.0"
] |
permissive
|
liumihust/aliyun-openapi-python-sdk
|
7fa3f5b7ea5177a9dbffc99e73cf9f00e640b72b
|
c7b5dd4befae4b9c59181654289f9272531207ef
|
refs/heads/master
| 2020-09-25T12:10:14.245354
| 2019-12-04T14:43:27
| 2019-12-04T14:43:27
| 226,002,339
| 1
| 0
|
NOASSERTION
| 2019-12-05T02:50:35
| 2019-12-05T02:50:34
| null |
UTF-8
|
Python
| false
| false
| 2,128
|
py
|
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from aliyunsdkcore.request import RpcRequest
class DescribeInstanceInfoRequest(RpcRequest):
def __init__(self):
RpcRequest.__init__(self, 'PetaData', '2016-01-01', 'DescribeInstanceInfo','petadata')
def get_ResourceOwnerId(self):
return self.get_query_params().get('ResourceOwnerId')
def set_ResourceOwnerId(self,ResourceOwnerId):
self.add_query_param('ResourceOwnerId',ResourceOwnerId)
def get_InstanceId(self):
return self.get_query_params().get('InstanceId')
def set_InstanceId(self,InstanceId):
self.add_query_param('InstanceId',InstanceId)
def get_SecurityToken(self):
return self.get_query_params().get('SecurityToken')
def set_SecurityToken(self,SecurityToken):
self.add_query_param('SecurityToken',SecurityToken)
def get_ResourceOwnerAccount(self):
return self.get_query_params().get('ResourceOwnerAccount')
def set_ResourceOwnerAccount(self,ResourceOwnerAccount):
self.add_query_param('ResourceOwnerAccount',ResourceOwnerAccount)
def get_OwnerAccount(self):
return self.get_query_params().get('OwnerAccount')
def set_OwnerAccount(self,OwnerAccount):
self.add_query_param('OwnerAccount',OwnerAccount)
def get_OwnerId(self):
return self.get_query_params().get('OwnerId')
def set_OwnerId(self,OwnerId):
self.add_query_param('OwnerId',OwnerId)
|
[
"yixiong.jxy@alibaba-inc.com"
] |
yixiong.jxy@alibaba-inc.com
|
042f26bfe56643c6652b56921c76c835ae78b86e
|
fcf99db2d9f58da7065369c70f81e3e7cb53356b
|
/extra/dynamic1.py
|
53d37a6922ed684b88e5d2cd97b18c2a630e82aa
|
[] |
no_license
|
manankshastri/self-d
|
b0f438e19d1eb6378093205c49eacd7ad3c53275
|
4266c27118354391cc9677e56c0f494506d390cd
|
refs/heads/master
| 2020-04-24T00:38:53.226656
| 2019-10-14T03:44:40
| 2019-10-14T03:44:40
| 171,572,278
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 253
|
py
|
import time
def fib(x):
if x ==0:
return 0
elif x == 1:
return 1
else:
return fib(x-1) + fib(x-2)
startTime = time.time()
print("%-14s:%d" % ("Result:" , fib(32)))
print("%-14s:%.4f seconds" % ("Elapsed time: ", time.time() - startTime))
|
[
"manank.shastri@gmail.com"
] |
manank.shastri@gmail.com
|
79d7698a4437041440511147e14d336945d9fffe
|
e942cafaf64f6354e1f9ebd4a84bcf236ad93004
|
/yawast/commands/ssl.py
|
bbfe7b60ff039aab4923e020844fa135c88a4fb5
|
[
"MIT"
] |
permissive
|
Prodject/yawast
|
9a441a0576012dc5f0664cd23cfa0a803fd7a477
|
044309709cf3782de75a35f77297f2d2850d8e1c
|
refs/heads/master
| 2020-03-23T02:32:12.357082
| 2020-01-21T18:13:19
| 2020-01-21T18:13:19
| 140,978,938
| 0
| 0
|
BSD-3-Clause
| 2020-01-21T18:13:20
| 2018-07-14T21:23:05
|
Ruby
|
UTF-8
|
Python
| false
| false
| 1,974
|
py
|
# Copyright (c) 2013 - 2019 Adam Caudill and Contributors.
# This file is part of YAWAST which is released under the MIT license.
# See the LICENSE file or go to https://yawast.org/license/ for full license details.
import socket
from yawast.commands import utils as cutils
from yawast.scanner.cli import ssl_internal, ssl_sweet32, ssl_labs
from yawast.scanner.session import Session
from yawast.shared import utils, output
def start(session: Session):
print(f"Scanning: {session.url}")
# make sure it resolves
try:
socket.gethostbyname(session.domain)
except socket.gaierror as error:
output.debug_exception()
output.error(f"Fatal Error: Unable to resolve {session.domain} ({str(error)})")
return
try:
cutils.check_redirect(session)
except Exception as error:
output.debug_exception()
output.error(f"Unable to continue: {str(error)}")
return
# check to see if we are looking at an HTTPS server
if session.url_parsed.scheme == "https":
if (
session.args.internalssl
or utils.is_ip(session.domain)
or utils.get_port(session.url) != 443
):
# use SSLyze
try:
ssl_internal.scan(session)
except Exception as error:
output.error(f"Error running scan with SSLyze: {str(error)}")
else:
try:
ssl_labs.scan(session)
except Exception as error:
output.debug_exception()
output.error(f"Error running scan with SSL Labs: {str(error)}")
output.norm("Switching to internal SSL scanner...")
try:
ssl_internal.scan(session)
except Exception as error:
output.error(f"Error running scan with SSLyze: {str(error)}")
if session.args.tdessessioncount:
ssl_sweet32.scan(session)
|
[
"adam@adamcaudill.com"
] |
adam@adamcaudill.com
|
ff363c8bbbbcb10df1b0550fdc8d72a9e1003e47
|
e5793284d9327bfef1b9b8b4bdb3a012fa721def
|
/plataforma/sujetos/migrations/0020_auto__add_field_persona_telefono.py
|
e0d8fbb9a152c103b14cecf3f2c61f085ff984dc
|
[] |
no_license
|
saraif/plataforma
|
1b486fd1dd41c136d3be011957ad254e2ecc2dfd
|
4e27260bcce19dc337c5cc804d26400cefdcf86f
|
refs/heads/master
| 2020-04-29T13:02:09.787275
| 2013-11-22T13:29:28
| 2013-11-22T13:29:28
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,692
|
py
|
# -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Adding field 'Persona.telefono'
db.add_column(u'sujetos_persona', 'telefono',
self.gf('django.db.models.fields.IntegerField')(default=0),
keep_default=False)
def backwards(self, orm):
# Deleting field 'Persona.telefono'
db.delete_column(u'sujetos_persona', 'telefono')
models = {
u'sujetos.persona': {
'Meta': {'object_name': 'Persona'},
'apellidos': ('django.db.models.fields.CharField', [], {'max_length': '60'}),
'cedula': ('django.db.models.fields.IntegerField', [], {'primary_key': 'True'}),
'edad': ('django.db.models.fields.IntegerField', [], {}),
'fecha_nacimiento': ('django.db.models.fields.DateField', [], {}),
'nombres': ('django.db.models.fields.CharField', [], {'max_length': '60'}),
'proyecto': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['sujetos.Proyecto']", 'symmetrical': 'False'}),
'sexo': ('django.db.models.fields.CharField', [], {'default': "'F'", 'max_length': '1'}),
'telefono': ('django.db.models.fields.IntegerField', [], {})
},
u'sujetos.proyecto': {
'Meta': {'object_name': 'Proyecto'},
u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}),
'nombre': ('django.db.models.fields.CharField', [], {'max_length': '60'})
}
}
complete_apps = ['sujetos']
|
[
"salacuatro@salacuatro.(none)"
] |
salacuatro@salacuatro.(none)
|
344a82674f33771880a5b0e100072e35f8462279
|
ed44dfecd44f7fee6cfaf9630b472e3c0968bccb
|
/gestionadmin/shops/urls.py
|
2c3eded9d0d3bf50b1697e9f38a69716285fb33b
|
[] |
no_license
|
paulemxx/Orgo
|
0119429acbefaa2f878e4588a2ebfa75759d8c7a
|
74ec1904fc61fdfd1d543d01e55f134c504b59f8
|
refs/heads/main
| 2023-01-23T19:26:14.344946
| 2020-11-24T23:38:05
| 2020-11-24T23:38:05
| 305,420,661
| 0
| 1
| null | 2020-10-21T22:48:46
| 2020-10-19T14:57:40
|
HTML
|
UTF-8
|
Python
| false
| false
| 496
|
py
|
from django.urls import path
from gestionadmin.shops import views
app_name = 'shops'
urlpatterns = [
path('ajoutproduit', views.ajoutproduit, name='ajoutproduit'),
path('ajoutcategorie', views.ajoutcategorie, name='ajoutcategorie'),
path('ajouttag', views.ajouttag, name='ajouttag'),
path('listeproduit', views.listeproduit, name='listeproduit'),
path('listecategorie', views.listecategorie, name='listecategorie'),
path('listetag', views.listetag, name='listetag'),
]
|
[
"gnogan.paul@gmail.com"
] |
gnogan.paul@gmail.com
|
a0839df16294a099c433e6529f1a9a3ba7994d38
|
b1004bfd794910911b4eb510a6e5a0460ce1cb5a
|
/python3course/finalcapstone/euler_path/graph.py
|
842336aca7d9c19e066032be50eebd69e4813a06
|
[] |
no_license
|
GeorgeKeith/udemy_py
|
4e0385bbf10441534d5c0ee22d022f7d441b0fae
|
b4e68240e6954e0f70b17265e8f4ed343243a6b9
|
refs/heads/master
| 2020-03-19T04:44:24.806075
| 2018-06-03T04:20:14
| 2018-06-03T04:20:14
| 135,860,896
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 795
|
py
|
from node import Node
from link import Link
class Graph:
def __init__(self):
self.nodes = {}
def __len__(self):
return len(self.nodes)
def add_node(self, name):
node = Node(name)
self.nodes[name] = node
def add_nodes(self, names):
name_list = names.split(",")
for name in name_list:
self.add_node(name)
def add_link(self, name_a, name_b, cost=1):
node_a = self.nodes[name_a]
node_b = self.nodes[name_b]
link = Link(node_a, node_b, cost)
def node(self, name):
return self.nodes[name]
def link_set(self):
result = set()
for node in self.nodes.values():
for link in node.links.values():
result.add(link)
return result
|
[
"george@techfeathers.com"
] |
george@techfeathers.com
|
5865f3e2289173a978094911b88a1b6f0e1d7ebe
|
dd638b83d7f1b351affa17bee0300b825ec7f833
|
/serious_pysam/game/game.py
|
62dbaff43aa2f69857b679cfbd6b08adba76935a
|
[
"MIT"
] |
permissive
|
notrurs/Serious_PySam
|
1b3d3b9cc25875ef7cd9d4c47203bb9aba719010
|
37acbf3d2a1136f35b907f0528a4005e6870b4a1
|
refs/heads/master
| 2023-05-10T10:14:51.961755
| 2021-06-15T10:43:01
| 2021-06-15T10:43:01
| 255,668,435
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 6,503
|
py
|
import pygame
import sys
from collections import defaultdict
from pygame_menu.locals import ALIGN_CENTER
from serious_pysam import config as c
from serious_pysam.menu.menu import MainMenu
class Game:
"""Main super class for Game object."""
def __init__(self,
caption,
width,
height,
back_image_filename,
frame_rate):
"""Game has own vars:
background_image - picture for background on the screen
frame_rate - pfs of the game
game_over - current state of game over
is_boss_spawn - current state boss spawn
objects - contains all game objects
enemies - contains only enemies objects
bullets - contains only bullets objects
enemy_bullets - contains only enemy_bullets objects
hud_objects - contains only hud_objects objects
hero_objects - contains only hero_objects objects
channel_hero_fire - sound channel for hero shooting
channel_hero_dialog - sound channel for hero dialog
channel_enemy_sound - sound channel for enemy sound
surface - screen object
keydown_handlers - dict with all button down handlers for keyboard buttons
keyup_handlers - dict with all button up handlers for keyboard buttons
mouse_handlers - dict with all handlers for mouse buttons
"""
self.background_image = pygame.image.load(back_image_filename)
self.frame_rate = frame_rate
self.game_over = False
self.is_boss_spawn = False
self.objects = []
self.enemies = []
self.bullets = []
self.enemy_bullets = []
self.hud_objects = []
self.hero_objects = []
pygame.mixer.init(44100, 16, 2, 4096)
pygame.init()
self.channel_hero_fire = pygame.mixer.Channel(0)
self.channel_hero_fire.set_volume(c.HERO_FIRE_VOLUME)
self.channel_hero_dialog = pygame.mixer.Channel(1)
self.channel_hero_dialog.set_volume(c.HERO_DIALOG_VOLUME)
self.channel_enemy_sound = pygame.mixer.Channel(2)
self.channel_enemy_sound.set_volume(c.ENEMY_SOUND_VOLUME)
self.surface = pygame.display.set_mode((width, height))
pygame.display.set_caption(caption)
self.clock = pygame.time.Clock()
self.keydown_handlers = defaultdict(list)
self.keyup_handlers = defaultdict(list)
self.mouse_handlers = defaultdict(list)
def reinitializied_game(self):
"""Sets params below to start values."""
self.is_boss_spawn = False
self.objects = []
self.enemies = []
self.bullets = []
self.enemy_bullets = []
self.hud_objects = []
self.hero_objects = []
self.channel_hero_fire = pygame.mixer.Channel(0)
self.channel_hero_dialog = pygame.mixer.Channel(1)
self.channel_enemy_sound = pygame.mixer.Channel(2)
self.channels_set_volume()
self.keydown_handlers = defaultdict(list)
self.keyup_handlers = defaultdict(list)
self.mouse_handlers = defaultdict(list)
def channels_set_volume(self, volume='default'):
"""Sets game volume.
:param volume: volume level
:type volume: str
"""
if volume == 'default':
self.channel_hero_fire.set_volume(c.HERO_FIRE_VOLUME)
self.channel_hero_dialog.set_volume(c.HERO_DIALOG_VOLUME)
self.channel_enemy_sound.set_volume(c.ENEMY_SOUND_VOLUME)
elif volume == 'mute':
self.channel_hero_fire.set_volume(0)
self.channel_hero_dialog.set_volume(0)
self.channel_enemy_sound.set_volume(0)
def update(self):
"""Updates all objects on the screen."""
for o in self.objects:
o.update()
def blit(self, surface):
"""Blits all objects on the screen."""
for o in self.objects:
o.blit(surface)
def handle_events(self):
"""Handler for game events."""
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
sys.exit()
elif event.type == pygame.KEYDOWN:
for handler in self.keydown_handlers[event.key]:
handler(event.key)
elif event.type == pygame.KEYUP:
for handler in self.keyup_handlers[event.key]:
handler(event.key)
elif event.type in (pygame.MOUSEBUTTONDOWN,
pygame.MOUSEBUTTONUP,
pygame.MOUSEMOTION):
for handler in self.mouse_handlers[event.type]:
handler(event.type, event.pos)
def start_game(self):
"""Starts game. Turn ob music, blits and updates all objects, set fps and
checks handlers."""
pygame.mixer.music.load(c.MUSIC_FIGHT)
pygame.mixer.music.set_volume(c.MUSIC_VOLUME)
pygame.mixer.music.play(-1)
hero_start_sound = pygame.mixer.Sound(c.hero_start_level_random_dialog())
self.channel_hero_dialog.play(hero_start_sound)
while not self.game_over:
self.surface.blit(self.background_image, (0, 0))
self.objects = [*self.enemies, *self.bullets, *self.enemy_bullets, *self.hero_objects, *self.hud_objects]
self.handle_events()
self.update()
self.blit(self.surface)
pygame.display.update()
self.clock.tick(self.frame_rate)
def create_main_menu(self):
"""Starts main menu and turn on menu music."""
pygame.mixer.music.load(c.MENU_MUSIC)
pygame.mixer.music.set_volume(c.MENU_MUSIC_VOLUME)
pygame.mixer.music.play(-1)
menu_control = MainMenu()
menu_control.add_label(c.MENU_CONTROL_LABEL, align=ALIGN_CENTER, font_size=30, margin=(0, 100))
menu_control.add_button('Назад', menu_control.event_back)
menu = MainMenu()
menu.add_button('Новая игра', self.start_game)
menu.add_button('Управление', menu_control)
menu.add_button('Выход', menu.event_quit)
menu.mainloop(self.surface)
def background_function(self):
"""Blits background for menu."""
bg_img = pygame.image.load(c.MENU_BACKGROUND_IMAGE)
self.surface.blit(bg_img, (0, 0))
def run(self):
"""Runs game."""
self.create_main_menu()
|
[
"fursik111@gmail.com"
] |
fursik111@gmail.com
|
49b17dda58267f24453517afa4f2ea37b95f754d
|
961d8796f1e6c39f8d3f150a8cb25a351320bc38
|
/utilities/clubUserPurchases.py
|
0fc1a94e8fbd048fadc979df2690ad93447728c1
|
[] |
no_license
|
akshitar/TargetChallenge
|
98aec45b3264ce90c41f325c565fa0ad70eedf08
|
22415d5ddf3d921beb1b8ede7ec46c0309458dbb
|
refs/heads/master
| 2020-12-24T20:52:49.162479
| 2016-05-03T17:46:39
| 2016-05-03T17:46:39
| 57,988,964
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 897
|
py
|
import csv
import marshal as pickle
fileUserPurchase = open('assets/userPurchaseChronology', 'r+')
userPurchases = {}
prevUID = ''
with open('data/transactionLog.csv', 'rb') as transactionLog:
count = -1
reader = csv.reader(transactionLog)
purchaseLog = []
for userData in reader:
count = count + 1
if (count == 0):
continue
if count % 10000000 == 0:
print(count)
uID = str(userData[0])
skuID = str(userData[1])
if prevUID != '' and uID != prevUID:
if prevUID in userPurchases:
userPurchases[prevUID].append(purchaseLog)
else:
userPurchases[prevUID] = [purchaseLog]
prevUID = uID
purchaseLog = [skuID]
else:
prevUID = uID
purchaseLog.append(skuID)
pickle.dump(userPurchases, fileUserPurchase)
|
[
"akshitar@usc.edu"
] |
akshitar@usc.edu
|
4efa1687dadd46892464c946083720005116424d
|
888f65551bb3fe1b8e84c205796b24678669a649
|
/venv/bin/mako-render
|
e6e8f3b2ebd988dca4cd46c0956c7a2d59f20d2a
|
[] |
no_license
|
chunharrison/NBA-Predictor
|
e6514c70f2cf26d6db4c14aee225cfbd9d5984a7
|
967951ba34debee012385af63f2bf8031dee51ca
|
refs/heads/master
| 2022-05-04T22:02:03.374496
| 2019-05-15T05:55:34
| 2019-05-15T05:55:34
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 258
|
#!/Users/harrison/Documents/NBA-Predictor/venv/bin/python3.7
# -*- coding: utf-8 -*-
import re
import sys
from mako.cmd import cmdline
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(cmdline())
|
[
"wjsdntjr@hotmail.com"
] |
wjsdntjr@hotmail.com
|
|
b3ed8beabe64300b4c689147e18f17f5b1453e18
|
7565e9fb464e12d950a8e0dc4195c6b60035559b
|
/hw5/save_original_info.py
|
11262f34acc448960290e9419938dd7f267c916a
|
[] |
no_license
|
proevgenii/EPAM-HW-2020-
|
0cb3d32d3399aada6e30d300da7b6036181171bc
|
3d884c8f10b1b183f1802f815e7b6dddbec79c9f
|
refs/heads/main
| 2023-07-06T20:04:28.069300
| 2021-08-23T20:50:00
| 2021-08-23T20:50:00
| 344,617,122
| 0
| 0
| null | 2021-08-23T20:50:17
| 2021-03-04T21:41:38
|
Python
|
UTF-8
|
Python
| false
| false
| 2,020
|
py
|
"""
Написать декоратор который позволит сохранять информацию из
исходной функции (__name__ and __doc__), а так же сохранит саму
исходную функцию в атрибуте __original_func
print_result изменять нельзя, за исключением добавления вашего
декоратора на строку отведенную под него - замените комментарий
До применения вашего декоратор будет вызываться AttributeError при custom_sum.__original_func
Это корректное поведение
После применения там должна быть исходная функция
Ожидаемый результат:
print(custom_sum.__doc__) # 'This function can sum any objects which have __add___'
print(custom_sum.__name__) # 'custom_sum'
print(custom_sum.__original_func) # <function custom_sum at <some_id>>
"""
import functools
def print_result(func):
# Возможно ли это сделать, если позволено добавлять строки только в этом месте ???
def wrapper(*args, **kwargs):
"""Function-wrapper which print result of an original function"""
result = func(*args, **kwargs)
print(result)
return result
wrapper.__original_func = func.__call__
wrapper.__name__ = func.__name__
wrapper.__doc__ = func.__doc__
return wrapper
@print_result
def custom_sum(*args):
"""This function can sum any objects which have __add___"""
return functools.reduce(lambda x, y: x + y, args)
if __name__ == "__main__":
custom_sum([1, 2, 3], [4, 5])
custom_sum(1, 2, 3, 4)
print(custom_sum.__doc__)
print(custom_sum.__name__)
without_print = custom_sum.__original_func
# the result returns without printing
without_print(1, 2, 3, 4)
print(custom_sum.__original_func)
|
[
"proevgenii19@gmail.com"
] |
proevgenii19@gmail.com
|
db96e3cc2ff9ff0b7d64455bcbb747357bd27f7f
|
8a1351dd9a9f7ab8f58e133cab788aed29edbf04
|
/pyspark_model/online_pred.py
|
d4f9d75f07a2c90ea0002a1f2881f807c8c71001
|
[] |
no_license
|
stubird/onlinePred
|
3999c2444c6599d01564258e232b966e2858a326
|
9208118fa48de3484e00bed044cac1bf99e0be8f
|
refs/heads/master
| 2020-03-30T01:40:45.220258
| 2018-11-02T07:21:12
| 2018-11-02T07:21:12
| 150,588,975
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,886
|
py
|
import flask
from flask import Flask, request, url_for, Response
from sklearn.externals import joblib
from pyspark.mllib.tree import GradientBoostedTreesModel
from pyspark.mllib.linalg import SparseVector
from pyspark import SparkContext,SparkConf
import json
app = Flask(__name__)
# 加载模型
conf = SparkConf().setMaster("local").setAppName("My App")
sc = SparkContext(conf = conf)
model =GradientBoostedTreesModel.load(sc,'./sellModel')
@app.route("/", methods=["GET"])
def index():
with app.test_request_context():
# 生成每个函数监听的url以及该url的参数
result = {"gbdt": {"url": url_for("gbdt"),
"params": ["vector"]}}
result_body = flask.json.dumps(result)
return Response(result_body, mimetype="application/json")
@app.route("/ml/gbdt", methods=["GET"])
def gbdt():
request_args = request.args
# 如果没有传入参数，返回提示信息
if not request_args:
result = {
"message": "请输入参数：vector"
}
result_body = flask.json.dumps(result, ensure_ascii=False)
return Response(result_body, mimetype="application/json")
# 获取请求参数
vector = request_args.get("vector", "{vector=[[0,0,0,0,0,0,0]]}")
print(vector)
jsob = json.loads(vector)
vector = [[float(j) for j in i] for i in jsob["vector"]]
ret = [model.predict(arr) for arr in vector]
print("predict result :" + str(ret))
# 构造返回数据
result = {
"features": {
"vector":vector
},
"result": ret
}
result_body = flask.json.dumps(result, ensure_ascii=False)
return Response(result_body, mimetype="application/json")
if __name__ == "__main__":
app.run(port=8000)
#http://127.0.0.1:8000/ml/gbdt?sepal_length=10&sepal_width=1&petal_length=3&petal_width=2
|
[
"360789029@qq.com"
] |
360789029@qq.com
|
9f531ead96710329b7c89d17a9c2abd4b35294a1
|
41704c5c80283fd87afdbf41949ad69c1c240303
|
/Lectures/s9/exercise.py
|
1946ba302591e70f6631fad240b47cd6655b146f
|
[] |
no_license
|
geonsoo/HCDE310
|
3263dbc7135351eb7996e5ba7386562e70562138
|
6605df0c65310b3c412df5d4e15e31d20625c825
|
refs/heads/master
| 2020-06-14T18:31:13.701033
| 2016-12-02T01:00:18
| 2016-12-02T01:00:18
| 75,346,840
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,654
|
py
|
import urllib2
from BeautifulSoup import BeautifulSoup
def try_it(someURL):
# Get the web page at that URL
response = urllib2.urlopen(someURL)
# Read the page data as one big string
page_data = response.read()
# Print out the URL
print "URL is: " + response.geturl()
# Print out the number of characters
print "# of characters: " + str(len(page_data)) + "\n"
# Print out some extra information
print "--- info ---"
print response.info()
def soupIt(someURL):
# note, the next line won't work until you have installed
# BeautifulSoup. See s11.py or the slides for instructions
htmlstring = urllib2.urlopen(someURL).read()
soup = BeautifulSoup(htmlstring)
# now do something interesting here
# to figure out what to do, maybe view the source
# of the URL to learn the structure of the page
### Main block
if __name__ == '__main__':
print "\n----- PART 1 -----"
# The URL I want to use
myURL = "http://hcde.washington.edu"
# Call try_it with myURL
try_it(myURL)
print "\n----- PART 2 -----"
# Uncomment the next two lines and set the URL to "http://www.google.com"
#myURL = "WHAT GOES HERE"
#try_it(myURL)
print "\n----- PART 3 -----"
# This time, replace PICKSOMETHING with an address of your choice.
# Remember to include the "http://"
#myURL = "PICKSOMETHING"
#try_it(myURL)
print "\n----- Let's make this more interesting? -----"
# (1) Uncomment the next code, pick a URL
# (2) fill in the function soupIt(myURL)to do something interesting
#myURL = "PICKSOMETHING"
soupIt(myURL)
|
[
"smunson@gmail.com"
] |
smunson@gmail.com
|
3902c35a3082958cebda9eb01b43d71151829312
|
948f254e75e7d0f816c0944d636234f1668eb7b8
|
/meaniceinbox_old.py
|
fafa56764682dcf81c0fcd5a071bfd515871debf
|
[] |
no_license
|
NOAA-Strausz/EcoFOCI_ssmi_ice
|
30f2398ba0e87c5b710cd57e933d3fb885ddb540
|
b0501df633f419a0aebf45308b98919a6d2a5b9e
|
refs/heads/master
| 2021-12-09T11:51:57.638964
| 2021-12-01T21:42:40
| 2021-12-01T21:42:40
| 162,646,458
| 1
| 2
| null | 2020-10-22T22:47:00
| 2018-12-21T00:45:39
|
Python
|
UTF-8
|
Python
| false
| false
| 8,088
|
py
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 20 13:15:11 2019
@author: strausz
"""
import argparse
import glob
import numpy as np
import datetime as dt
import pandas as pd
import math
import sys
from haversine import haversine
parser = argparse.ArgumentParser(description='Get ice concentration around a point')
parser.add_argument('-latlon', '--latlon', nargs=2,
help='latitude and longitude of desired point, W lon must be negative', type=float)
parser.add_argument('-y', '--years', nargs=2, help='year range ie "2015 2019"',
type=int)
parser.add_argument('-a', '--name', help='optional name of point', type=str)
parser.add_argument('-d', '--distance', help='size of box around point',
type=float)
parser.add_argument('-n', '--nm', help='use nautical miles instead of km',
action="store_true")
parser.add_argument('-r', '--radius', help='use distance as radius around point instead of box',
action="store_true")
parser.add_argument('-m', '--mooring', help='Mooring name, choose from ck1-9, or bs2-8')
parser.add_argument('-v', '--verbose', help='Print some details while processing files',
action="store_true")
args=parser.parse_args()
latfile='/home/makushin/strausz/ecofoci_github/EcoFOCI_ssmi_ice/psn25lats_v3.dat'
lonfile='/home/makushin/strausz/ecofoci_github/EcoFOCI_ssmi_ice/psn25lons_v3.dat'
#locations of ice files
bootstrap = '/home/akutan/strausz/ssmi_ice/data/bootstrap/'
nrt = '/home/akutan/strausz/ssmi_ice/data/nrt/'
#latest available bootstrap year
boot_year = 2020
#mooring locaitons taken from 'https://www.pmel.noaa.gov/foci/foci_moorings/mooring_info/mooring_location_info.html'
moorings = {'bs2':[56.869,-164.050], 'bs4':[57.895,-168.878], 'bs5':[59.911,-171.73],
'bs8':[62.194,-174.688], 'bs14':[64.00,-167.933], 'ck1':[70.838,-163.125], 'ck2':[71.231,-164.223],
'ck3':[71.828,-166.070], 'ck4':[71.038,-160.514], 'ck5':[71.203,-158.011],
'ck9':[72.464,-156.548], 'ck10':[70.211,-167.787],
'ck11':[70.013,-166.855], 'ck12':[67.911,-168.195]}
if args.mooring:
if args.mooring in moorings:
inlat = moorings[args.mooring][0]
inlon = moorings[args.mooring][1]
else:
sys.exit("Mooring not listed")
mooring = args.mooring + "_"
else:
inlat = args.latlon[0]
inlon = args.latlon[1]
mooring = ''
if args.nm:
units = 'nm'
else:
units = 'km'
if args.name:
pointname = args.name + "_"
else:
pointname = ''
def decode_datafile(filename):
#determine if it's nrt or bootstrap from filename prefix
#note that we remove path first if it exists
prefix = filename.split('/')[-1:][0][:2]
icefile = open(filename, 'rb')
if prefix == 'nt':
#remove the header
icefile.seek(300)
ice = np.fromfile(icefile,dtype=np.uint8)
ice[ice >= 253] = 0
ice = ice/2.5
elif prefix == 'bt':
ice = np.fromfile(icefile,dtype=np.uint16)
ice = ice/10.
ice[ice == 110] = 100 #110 is polar hole
ice[ice == 120] = np.nan #120 is land
else:
ice=np.nan
icefile.close()
return ice;
def get_date(filename):
#gets date from filename
#first remove path from filename if it is there
filename = filename.split('/')[-1:][0]
date = filename[3:11]
date = dt.datetime.strptime(date,"%Y%m%d")
return date;
def decode_latlon(filename):
latlon_file = open(filename, 'rb')
output = np.fromfile(latlon_file,dtype='<i4')
output = output/100000.0
#output = int(output * 1000)/1000 #sets decimal place at 3 without rounding
latlon_file.close()
return output;
def find_box(lat1, lon1, dist, nm):
#formula pulled from this website:
#http://www.movable-type.co.uk/scripts/latlong.html
if nm:
r=3440
else:
r=6371
dist = dist/2
wlon = math.radians(lon1) + math.atan2(math.sin(math.radians(270)) *
math.sin(dist/r) * math.cos(math.radians(lat1)),
math.cos(dist/r) - math.sin(math.radians(lat1)) *
math.sin(math.radians(lat1)))
elon = math.radians(lon1) + math.atan2(math.sin(math.radians(90)) *
math.sin(dist/r) * math.cos(math.radians(lat1)),
math.cos(dist/r) - math.sin(math.radians(lat1)) *
math.sin(math.radians(lat1)))
nlat = math.asin(math.sin(math.radians(lat1)) * math.cos(dist/r) +
math.cos(math.radians(lat1)) * math.sin(dist/r) *
math.cos(math.radians(0)))
slat = math.asin(math.sin(math.radians(lat1)) * math.cos(dist/r) +
math.cos(math.radians(lat1)) * math.sin(dist/r) *
math.cos(math.radians(180)))
wlon = round(math.degrees(wlon), 4)
elon = round(math.degrees(elon), 4)
nlat = round(math.degrees(nlat), 4)
slat = round(math.degrees(slat), 4)
return([nlat,slat,wlon,elon])
if args.radius:
nlat, slat, wlon, elon = find_box(inlat, inlon, 2*args.distance, nm=args.nm)
dist_type = 'Radius'
else:
nlat, slat, wlon, elon = find_box(inlat, inlon, args.distance, nm=args.nm)
dist_type = 'Box'
#put desired years in list
years = list(range(args.years[0],args.years[1]+1))
files = []
for i in years:
year = str(i)
if i <= boot_year:
path = bootstrap + year + '/'
files = files + glob.glob(path + '*.bin')
else:
path = nrt
files = files + glob.glob(path + '*' + year + '*.bin')
output_date = []
output_ice = []
for i in files:
#print('decoding filename: ' + i)
data_ice={'latitude':decode_latlon(latfile), 'longitude':decode_latlon(lonfile),
'ice_conc':decode_datafile(i)}
df_ice=pd.DataFrame(data_ice)
df_ice_chopped = df_ice[(df_ice.latitude <= nlat) & (df_ice.latitude >= slat) &
(df_ice.longitude >= wlon) & (df_ice.longitude <= elon)]
date = get_date(i)
if args.radius:
fn = lambda x: haversine((inlat, inlon),(x.latitude,x.longitude))
distance = df_ice_chopped.apply(fn, axis=1)
df_ice_chopped = df_ice_chopped.assign(dist=distance.values)
df_ice_chopped = df_ice_chopped.loc[df_ice_chopped.dist < args.distance]
#date_string = date.strftime("%Y,%j")
ice = df_ice_chopped.ice_conc.mean().round(decimals=1)
#print(date_string+','+str(ice))
if args.verbose:
print("Working on File: " + i)
print("For " + date.strftime("%Y-%m-%d") + " ice concentration was "
+ str(ice) + "%")
output_date.append(date)
output_ice.append(ice)
data = {'date':output_date, 'ice_concentration': output_ice}
df = pd.DataFrame(data)
df.set_index(['date'], inplace=True)
years_grouped = df.groupby(df.index.year)
dummy_list = []
output={'DOY':range(1,367)}
for name, group in years_grouped:
year = str(name)
if name <= 1988:
group = group.resample('d').mean()
if name == 1978:
dummy_list = [np.nan]*304
elif name in [1979, 1982, 1984, 1985, 1987]:
dummy_list = [np.nan]
elif name == 1988:
dummy_list = [np.nan]*13
else:
dummy_list = []
output[year] = dummy_list + list(group.ice_concentration)
else:
output[year] = list(group.ice_concentration)
df_out = pd.DataFrame.from_dict(output, orient='index').transpose()
df_out['DOY']=df_out.DOY.astype(int)
#get longiude suffix, assum lat is north
lat_suffix = 'N'
if inlon < 0:
lon_suffix = 'W'
else:
lon_suffix = 'E'
filename = ("meaniceinbox_" + mooring + pointname + str(inlat) + lat_suffix + "_" +
str(abs(inlon)) + lon_suffix + "_" + str(args.distance) + units +
"_" + dist_type + "_" + str(args.years[0]) + "-" + str(args.years[1]) + ".csv")
df_out.to_csv(filename, index=False)
|
[
"david.strausz@noaa.gov"
] |
david.strausz@noaa.gov
|
c981f1e95abb4190bf05190cd91b6a38d5e84056
|
507947847e9b72c2b427b74c15f325f36b269e02
|
/apps/belt/models.py
|
e8510049f3924077500d033054504837f4d43185
|
[] |
no_license
|
echeverria-oscar/oscar_belts
|
57916cf9875db2d004427fb8b382c1df8c296e32
|
446ccaa6cdf3776844284dca64ce45f3d9f7aa65
|
refs/heads/master
| 2020-12-24T12:34:57.968726
| 2016-11-06T06:33:33
| 2016-11-06T06:33:33
| 72,974,155
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,873
|
py
|
from __future__ import unicode_literals
from datetime import datetime, date
from django.db import models
import bcrypt
from django.db import models
# Create your models here.
class UserManager(models.Manager):
def login(self, post):
user_list = User.objects.filter(username = post['username'])
if user_list:
user = user_list[0]
if bcrypt.hashpw(post['password'].encode(), user.password.encode()) == user.password:
return user
return None
def register(self, post):
encrypted_password = bcrypt.hashpw(post['password'].encode(), bcrypt.gensalt())
User.objects.create(name = post['name'], username = post['username'],date_hired = post['date_hired'], password = encrypted_password )
def validate(self, post):
errors = []
today = date.today()
print today
if len(post['name']) == 0:
errors.append("Name is required")
elif len(post['name']) < 3:
errors.append("Name is too short")
if len(post['username']) == 0:
errors.append("username is required")
elif len(post['username']) < 3:
errors.append("Username is too short")
if len(post['password']) == 0:
errors.append("must enter a password")
elif len(post['password']) < 8:
errors.append("password must have at least 8 characters")
elif post['password'] != post['confirm_pass']:
errors.append("password and confirmation must match")
if not post['date_hired']:
errors.append("Date Hired Field cannot be empty")
try:
date_hired = datetime.strptime(post['date_hired'], '%Y-%m-%d')
if date_hired.date() > today:
errors.append("Date cannot from the future")
except:
errors.append("Please enter a valid date for the From Date")
return errors
class WishManager(models.Manager):
def v_wish(self,post):
errors = []
if len(post['wish']) == 0:
errors.append("Wish is required")
elif len(post['wish']) < 3:
errors.append("Wish is too short")
return errors
class User(models.Model):
name = models.CharField(max_length = 45)
username = models.CharField(max_length = 45)
date_hired = models.DateField()
password = models.CharField(max_length = 100)
created_at = models.DateTimeField(auto_now_add= True)
updated_at = models.DateTimeField(auto_now=True)
objects = UserManager()
class Wish(models.Model):
user = models.ForeignKey(User)
wish = models.TextField(max_length = 1000)
wisher = models.ManyToManyField(User, related_name= "other_wish")
created_at = models.DateTimeField(auto_now_add= True)
updated_at = models.DateTimeField(auto_now=True)
objects = WishManager()
|
[
"oscar@oscars-MacBook-Pro.local"
] |
oscar@oscars-MacBook-Pro.local
|
40ebde4a66db2044009fa4345a931b67003e657b
|
c91d029b59f4e6090a523bf571b3094e09852258
|
/src/comercial/apps.py
|
8f54832caa2d497204eca6944b8e7c6dc3c3e09e
|
[
"MIT"
] |
permissive
|
anselmobd/fo2
|
d51b63ebae2541b00af79448ede76b02638c41f0
|
8e7f8f3d9a296c7da39d0faf38a266e9c6c162ab
|
refs/heads/master
| 2023-08-31T19:59:33.964813
| 2023-08-31T19:50:53
| 2023-08-31T19:50:53
| 92,856,677
| 1
| 0
|
MIT
| 2023-04-21T21:50:46
| 2017-05-30T17:04:27
|
Python
|
UTF-8
|
Python
| false
| false
| 93
|
py
|
from django.apps import AppConfig
class ComercialConfig(AppConfig):
name = 'comercial'
|
[
"anselmo.blanco.dominguez+github@gmail.com"
] |
anselmo.blanco.dominguez+github@gmail.com
|
f29a1716fb77131024301e47e4439bc769de638a
|
ef32b87973a8dc08ba46bf03c5601548675de649
|
/pytglib/api/types/search_messages_filter_animation.py
|
e52ba5032981ef7f5289e9d53f9ec2a0230f7cab
|
[
"MIT"
] |
permissive
|
iTeam-co/pytglib
|
1a7580f0e0c9e317fbb0de1d3259c8c4cb90e721
|
d3b52d7c74ee5d82f4c3e15e4aa8c9caa007b4b5
|
refs/heads/master
| 2022-07-26T09:17:08.622398
| 2022-07-14T11:24:22
| 2022-07-14T11:24:22
| 178,060,880
| 10
| 9
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 559
|
py
|
from ..utils import Object
class SearchMessagesFilterAnimation(Object):
"""
Returns only animation messages
Attributes:
ID (:obj:`str`): ``SearchMessagesFilterAnimation``
No parameters required.
Returns:
SearchMessagesFilter
Raises:
:class:`telegram.Error`
"""
ID = "searchMessagesFilterAnimation"
def __init__(self, **kwargs):
pass
@staticmethod
def read(q: dict, *args) -> "SearchMessagesFilterAnimation":
return SearchMessagesFilterAnimation()
|
[
"me@amirh.co"
] |
me@amirh.co
|
b7f1b707aff8227e5a6adbf2cc67481d0bb0a5a8
|
82008bd4464276674c0f87bc5920563877d2a9dc
|
/validphone.py
|
5d24834a8fcfff8e9197404b5e603e807e80c08b
|
[] |
no_license
|
smudugal/ValidPhoneNumber
|
6d9e0fcc1b0687f1ec86b38c6260b7d9da32f06c
|
998f8719426b42a5687f59a84e936df42ee4b7a7
|
refs/heads/master
| 2021-01-19T13:43:57.037748
| 2017-02-18T21:48:45
| 2017-02-18T21:48:45
| 82,414,227
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 314
|
py
|
import re
def telephone_check(num):
pattern = '^1?\s?[(]?[0-9]{3}[-,)]?\s?[0-9]{3}[-,\s]?[0-9]{4}$'
if re.match(pattern,num):
return True
return False
if __name__ == "__main__":
print 'Enter a telephone number to check: '
num = raw_input()
valid = telephone_check(num)
pass
|
[
"samyukta.11@gmail.com"
] |
samyukta.11@gmail.com
|
10e06c96d12545cd7e9bbb9a2321187fd1f606ea
|
6b937035c51cf5653e30478ffe7e677ba557258f
|
/clock.py
|
af29f6c4d9ad47a4695fcf2b9c4619058e7ddbf3
|
[] |
no_license
|
greeedyboy/HttpServer
|
920d4c4c3ba0ac9f225d9bcddbf9d4c4847b5bdd
|
bbd62a490a64bb975f23d93ef0ed729e28c91ccb
|
refs/heads/master
| 2020-05-17T21:51:20.957123
| 2019-04-28T16:56:51
| 2019-04-28T16:56:51
| 183,983,432
| 0
| 0
| null | 2019-04-29T02:04:43
| 2019-04-29T02:04:42
| null |
UTF-8
|
Python
| false
| false
| 745
|
py
|
#!/usr/bin/env python
# -*- coding:utf-8 -*-
"""info
"""
from gking.plugin.creatart import git_post
from apscheduler.schedulers.blocking import BlockingScheduler
import subprocess
sched = BlockingScheduler()
@sched.scheduled_job('interval', minutes=120)
def timed_job():
print('This job is run every five minutes.')
print('begin to scrapy crawl gking')
# # bellow is ok
rs=subprocess.check_output(['python','runspider.py','gking'])
print(rs)
print('begin to gking post')
res=git_post()
data={"postnum":str(res)}
print(data)
@sched.scheduled_job('cron', day_of_week='mon-fri', hour=17)
def scheduled_job():
print('This job is run every weekday at 5pm.')
sched.start()
|
[
"greeedyboy@163.com"
] |
greeedyboy@163.com
|
19907a4d12c158d81ffc7e4e964f3e29250c770d
|
6b53ece215f6de1ce87b0c2a9aece8ede6b4a05d
|
/ah.py
|
a96b1e183a06a108adf7deca657f60f4d5f0cefe
|
[] |
no_license
|
micheldavalos/kattis_aaah-
|
fad19fd0596caab04154f1ad111f6e38bb74662b
|
bbedc7335b1c530cb3f869482ed0b2b54e4a0d51
|
refs/heads/master
| 2020-06-06T19:25:30.962955
| 2019-06-20T02:24:34
| 2019-06-20T02:24:34
| 192,833,995
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 155
|
py
|
first = input()
second = input()
if first == 'h' and second == 'h':
print('go')
elif len(first) >= len(second):
print('go')
else:
print('no')
|
[
"michel.davalos@academicos.udg.mx"
] |
michel.davalos@academicos.udg.mx
|
ea29a9cc461cc772418606651a63a753c9adce36
|
eb9c3dac0dca0ecd184df14b1fda62e61cc8c7d7
|
/google/cloud/securitycenter/v1p1beta1/securitycenter-v1p1beta1-py/google/cloud/securitycenter_v1p1beta1/types/organization_settings.py
|
faec729075707f892513d3f7e9e1c999722a8557
|
[
"Apache-2.0"
] |
permissive
|
Tryweirder/googleapis-gen
|
2e5daf46574c3af3d448f1177eaebe809100c346
|
45d8e9377379f9d1d4e166e80415a8c1737f284d
|
refs/heads/master
| 2023-04-05T06:30:04.726589
| 2021-04-13T23:35:20
| 2021-04-13T23:35:20
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,410
|
py
|
# -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import proto # type: ignore
__protobuf__ = proto.module(
package='google.cloud.securitycenter.v1p1beta1',
manifest={
'OrganizationSettings',
},
)
class OrganizationSettings(proto.Message):
r"""User specified settings that are attached to the Security
Command Center organization.
Attributes:
name (str):
The relative resource name of the settings. See:
https://cloud.google.com/apis/design/resource_names#relative_resource_name
Example:
"organizations/{organization_id}/organizationSettings".
enable_asset_discovery (bool):
A flag that indicates if Asset Discovery should be enabled.
If the flag is set to ``true``, then discovery of assets
will occur. If it is set to \`false, all historical assets
will remain, but discovery of future assets will not occur.
asset_discovery_config (google.cloud.securitycenter_v1p1beta1.types.OrganizationSettings.AssetDiscoveryConfig):
The configuration used for Asset Discovery
runs.
"""
class AssetDiscoveryConfig(proto.Message):
r"""The configuration used for Asset Discovery runs.
Attributes:
project_ids (Sequence[str]):
The project ids to use for filtering asset
discovery.
inclusion_mode (google.cloud.securitycenter_v1p1beta1.types.OrganizationSettings.AssetDiscoveryConfig.InclusionMode):
The mode to use for filtering asset
discovery.
"""
class InclusionMode(proto.Enum):
r"""The mode of inclusion when running Asset Discovery. Asset discovery
can be limited by explicitly identifying projects to be included or
excluded. If INCLUDE_ONLY is set, then only those projects within
the organization and their children are discovered during asset
discovery. If EXCLUDE is set, then projects that don't match those
projects are discovered during asset discovery. If neither are set,
then all projects within the organization are discovered during
asset discovery.
"""
INCLUSION_MODE_UNSPECIFIED = 0
INCLUDE_ONLY = 1
EXCLUDE = 2
project_ids = proto.RepeatedField(proto.STRING, number=1)
inclusion_mode = proto.Field(proto.ENUM, number=2,
enum='OrganizationSettings.AssetDiscoveryConfig.InclusionMode',
)
name = proto.Field(proto.STRING, number=1)
enable_asset_discovery = proto.Field(proto.BOOL, number=2)
asset_discovery_config = proto.Field(proto.MESSAGE, number=3,
message=AssetDiscoveryConfig,
)
__all__ = tuple(sorted(__protobuf__.manifest))
|
[
"bazel-bot-development[bot]@users.noreply.github.com"
] |
bazel-bot-development[bot]@users.noreply.github.com
|
d2d9b448996e36b3842f5c9574cb580f9715777c
|
34b6995f57f5f599e93df6f3e3841bbb9616b85f
|
/gym_electric_motor/envs/gym_dcm/dcm_base_env.py
|
4d5cae80381ab8a7d50999601947b03aaae29c65
|
[
"MIT"
] |
permissive
|
zizai/gym-electric-motor
|
ec86584315b4abf91f5d3ee7978272e00085728e
|
48a0232edf3474e441453126df0f52dc391aed11
|
refs/heads/master
| 2020-11-24T20:39:37.934074
| 2019-12-20T10:01:53
| 2019-12-20T10:01:53
| 228,333,802
| 0
| 0
|
MIT
| 2019-12-16T08:02:48
| 2019-12-16T08:02:47
| null |
UTF-8
|
Python
| false
| false
| 33,923
|
py
|
import gym
from scipy.integrate import ode
import numpy as np
import json
from .models import dcmotor_model, converter_models, load_models
from ..dashboard import MotorDashboard
from ..utils import EulerSolver
class _DCMBaseEnv(gym.Env):
"""
**Description:**
An abstract environment for common functions of the DC motors
**Observation:**
Specified by the concrete motor. It is always a concatenation of the state variables, voltages, torque
and next reference values.
**Actions:**
Depending on the converter type the action space may be discrete or continuous
Type: Discrete(2 / 3 / 4)
Num Action: Depend on the converter
1Q Converter: (only positive voltage and positive current)
- 0: transistor block
- 1: positive DC-link voltage applied
2Q Converter: (only positive voltage and both current directions)
- 0: both transistors blocking
- 1: positive DC-link voltage applied
- 2: 0V applied
4Q Converter (both voltage and current directions)
- 0: short circuit with upper transistors, 0V applied
- 1: positive DC-link voltage
- 2: negative DC-link voltage
- 3: short circuit with lower transistors, 0V applied
Type: Box()
Defines the duty cycle for the transistors.\n
[0, 1]: 1Q and 2Q\n
[-1, 1]: 4Q
For an externally excited motor it is a two dimensional box from [-1, 1] or [0, 1]
**Reward:**
The reward is the cumulative squared error (se) or the cumulative absolute error (ae) between the
current value and the current reference of the state variables. Both are also available in a shifted
form with an added on such that the reward is positive. More details are given below.
The variables are normalised by their maximal values and weighted by the reward_weights.
**Starting State:**
All observations are assigned a random value.
**Episode Termination**:
An episode terminates, when all the steps in the reference have been simulated
or a limit has been violated.
**Attributes:**
+----------------------------+----------------------------------------------------------+
| **Name** | **Description** |
+============================+==========================================================+
| **state_vars** | Names of all the quantities that can be observed |
+----------------------------+----------------------------------------------------------+
| **state_var_positions** | Inverse dict of the state vars. Mapping of key to index. |
+----------------------------+----------------------------------------------------------+
| **limits** | Maximum allowed values of the state variables |
+----------------------------+----------------------------------------------------------+
| **reward_weights** | Ratio of the weight of the state variable for the reward |
+----------------------------+----------------------------------------------------------+
| **on_dashboard** | Flag indicating if the state var is shown on dashboard |
+----------------------------+----------------------------------------------------------+
| **noise_levels** | Percentage of the noise power to the signal power |
+----------------------------+----------------------------------------------------------+
| **zero_refs** | State variables that get a fixed zero reference |
+----------------------------+----------------------------------------------------------+
"""
OMEGA_IDX = 0
MOTOR_IDX = None
# region Properties
@property
def tau(self):
"""
Returns:
the step size of the environment Default: 1e-5 for discrete / 1e-4 for continuous action space
"""
return self._tau
@property
def episode_length(self):
"""
Returns:
The length of the current episode
"""
return self._episode_length
@episode_length.setter
def episode_length(self, episode_length):
"""
Set the length of the episode in the environment. Must be larger than the prediction horizon.
"""
self._episode_length = max(self._prediction_horizon + 1, episode_length)
@property
def k(self):
"""
Returns:
The current step in the running episode
"""
return self._k
@property
def limit_observer(self):
return self._limit_observer
@property
def safety_margin(self):
return self._safety_margin
@property
def prediction_horizon(self):
return self._prediction_horizon
@property
def motor_parameter(self):
"""
Returns:
motor parameter with calculated limits
"""
params = self.motor_model.motor_parameter
params['safety_margin'] = self.safety_margin
params['episode_length'] = self._episode_length
params['prediction_horizon'] = self._prediction_horizon
params['tau'] = self._tau
params['limits'] = self._limits.tolist()
return params
@property
def _reward(self):
return self._reward_function
# endregion
def __init__(self, motor_type, state_vars, zero_refs, converter_type, tau, episode_length=10000, load_parameter=None,
motor_parameter=None, reward_weight=(('omega', 1.0),), on_dashboard=('omega',), integrator='euler',
nsteps=1, prediction_horizon=0, interlocking_time=0.0, noise_levels=0.0, reward_fct='swsae',
limit_observer='off', safety_margin=1.3, gamma=0.9, dead_time=True):
"""
Basic setting of all the common motor parameters.
Args:
motor_type: Can be 'dc-series', 'dc-shunt', 'dc-extex' or 'dc-permex'. Set by the child classes.
state_vars: State variables of the DC motor. Set by the child classes.
zero_refs: State variables that get zero references. (E.g. to punish high control power)
motor_parameter: A dict of motor parameters that differ from the default ones. \n
For details look into the dc_motor model.
load_parameter: A dict of load parameters that differ from the default ones. \n
For details look into the load model.
converter_type: The specific converter type.'{disc/cont}-{1Q/2Q/4Q}'. For details look into converter
tau: The step size or sampling time of the environment.
episode_length: The episode length of the environment
reward_weight: Iterable of key/value pairs that specifies how the rewards in the environment
are weighted.
E.g. ::
(('omega', 0.9),('u', 0.1))
on_dashboard: Iterable that specifies the variables on the dashboard.
E.g.::
['omega','u']
integrator: Select which integrator to choose from 'euler', 'dopri5'
nsteps: Maximum allowed number of steps for the integrator.
prediction_horizon: The length of future reference points that are shown to the agents
interlocking_time: interlocking time of the converter
noise_levels: Noise levels of the state variables in percentage of the signal power.
reward_fct: Select the reward function between: (Each one normalised to [0,1] or [-1,0]) \n
'swae': Absolute Error between references and state variables [-1,0] \n
'swse': Squared Error between references and state variables [-1,0]\n
'swsae': Shifted absolute error / 1 + swae [0,1] \n
'swsse': Shifted squared error / 1 + swse [0,1] \n
limit_observer: Select the limit observing function. \n
'off': No limits are observed. Episode goes on. \n
'no_punish': Limits are observed, no punishment term for violation. This function should be used with
shifted reward functions. \n
'const_punish': Limits are observed. Punishment in the form of -1 / (1-gamma) to punish the agent with
the maximum negative reward for the further steps. This function should be used with non shifted reward
functions.
safety_margin: Ratio between maximal and nominal power of the motor parameters.
gamma: Parameter for the punishment of a limit violation. Should equal agents gamma parameter.
"""
self._gamma = gamma
self._safety_margin = safety_margin
self._reward_function, self.reward_range = self._reward_functions(reward_fct)
self._limit_observer = self._limit_observers(limit_observer)
self._tau = tau
self._episode_length = episode_length
self.state_vars = np.array(state_vars)
#: dict(int): Inverse state vars. Dictionary to map state names to positions in the state arrays
self._state_var_positions = {}
for ind, val in enumerate(state_vars):
self._state_var_positions[val] = ind
self._prediction_horizon = max(0, prediction_horizon)
self._zero_refs = zero_refs
#: array(bool): True, if the state variable on the index is a zero_reference. For fast access
self._zero_ref_flags = np.isin(self.state_vars, self._zero_refs)
self.load_model = load_models.Load(load_parameter)
self.motor_model = dcmotor_model.make(motor_type, self.load_model.load, motor_parameter)
self.converter_model = converter_models.Converter.make(converter_type, self._tau, interlocking_time, dead_time)
self._k = 0
self._dashboard = None
self._state = np.zeros(len(state_vars))
self._reference = np.zeros((len(self.state_vars), episode_length + prediction_horizon))
self._reward_weights = np.zeros(len(self._state))
self.reference_vars = np.zeros_like(self.state_vars, dtype=bool)
self._on_dashboard = np.ones_like(self.state_vars, dtype=bool)
if on_dashboard[0] == 'True':
self._on_dashboard *= True
elif on_dashboard[0] == 'False':
self._on_dashboard *= False
else:
self._on_dashboard *= False
for key in on_dashboard:
self._on_dashboard[self._state_var_positions[key]] = True
for key, val in reward_weight:
self._reward_weights[self._state_var_positions[key]] = val
for i in range(len(state_vars)):
if self._reward_weights[i] > 0 and self.state_vars[i] not in self._zero_refs:
self.reference_vars[i] = True
integrators = ['euler', 'dopri5']
assert integrator in integrators, f'Integrator was {integrator}, but has to be in {integrators}'
if integrator == 'euler':
self.system = EulerSolver(self._system_eq, nsteps)
else:
self.system = ode(self._system_eq, self._system_jac).set_integrator(integrator, nsteps=nsteps)
self.integrate = self.system.integrate
self.action_space = self.converter_model.action_space
self._limits = np.zeros(len(self.state_vars))
self._set_limits()
self._set_observation_space()
self._noise_levels = np.zeros(len(state_vars))
if type(noise_levels) is tuple:
for state_var, noise_level in noise_levels:
self._noise_levels[self._state_var_positions[state_var]] = noise_level
else:
self._noise_levels = np.ones(len(self.state_vars)) * noise_levels
self._noise = None
self._resetDashboard = True
def seed(self, seed=None):
"""
Seed the random generators in the environment
Args:
seed: The value to seed the random number generator with
"""
np.random.seed(seed)
def _set_observation_space(self):
"""
Child classes need to write their concrete observation space into self.observation_space here
"""
raise NotImplementedError
def _set_limits(self):
"""
Child classes need to write their concrete limits of the state variables into self._limits here
"""
raise NotImplementedError
def _step_integrate(self, action):
"""
The integration is done for one time period. The converter considers the dead time and interlocking time.
Args:
action: switching state of the converter that should be applied
"""
raise NotImplementedError
def step(self, action):
"""
Clips the action to its limits and performs one step of the environment.
Args:
action: The action from the action space that will be performed on the motor
Returns:
Tuple(array(float), float, bool, dict):
**observation:** The observation from the environment \n
**reward:** The reward for the taken action \n
**bool:** Flag if the episode has ended \n
**info:** An always empty dictionary \n
"""
last_state = np.array(self._state, copy=True)
self._step_integrate(action)
rew = self._reward(self._state/self._limits, self._reference[:, self._k].T)
done, punish = self.limit_observer(self._state)
observation_references = self._reference[self.reference_vars, self._k:self._k + self._prediction_horizon + 1]
# normalize the observation
observation = np.concatenate((
self._state/self._limits + self._noise[:, self._k], observation_references.flatten()
))
self._k += 1
if done == 0: # Check if period is finished
done = self._k == self._episode_length
else:
rew = punish
return observation, rew, done, {}
def _set_initial_value(self):
"""
call self.system.set_initial_value(initial_state, 0.0) to reset the state to initial.
"""
self.system.set_initial_value(self._state[self.MOTOR_IDX], 0.0)
def reset(self):
"""
Resets the environment.
All state variables will be set to a random value in [-nominal value, nominal value].
New references will be generated.
Returns:
The initial observation for the episode
"""
self._k = 0
# Set new state
self._set_initial_state()
# New References
self._generate_references()
# Reset Integrator
self._set_initial_value()
# Reset Dashboard Flag
self._resetDashboard = True
# Generate new gaussian noise for the state variables
self._noise = (
np.sqrt(self._noise_levels/6) / self._safety_margin
* np.random.randn(self._episode_length+1, len(self.state_vars))
).T
# Calculate initial observation
observation_references = self._reference[self.reference_vars, self._k:self._k + self._prediction_horizon+1]
observation = np.concatenate((self._state/self._limits, observation_references.flatten()))
return observation
def render(self, mode='human'):
"""
Call this function once a cycle to update the visualization with the current values.
"""
if not self._on_dashboard.any():
return
if self._dashboard is None:
# First Call: No dashboard was initialised before
self._dashboard = MotorDashboard(self.state_vars[self._on_dashboard], self._tau,
self.observation_space.low[:len(self.state_vars)][self._on_dashboard]
* self._limits[self._on_dashboard],
self.observation_space.high[:len(self.state_vars)][self._on_dashboard]
* self._limits[self._on_dashboard],
self._episode_length,
self._safety_margin,
self._reward_weights[self._on_dashboard] > 0)
if self._resetDashboard:
self._resetDashboard = False
self._dashboard.reset((self._reference[self._on_dashboard].T * self._limits[self._on_dashboard]).T)
self._dashboard.step(self._state[self._on_dashboard], self._k) # Update the plot in the dashboard
def close(self):
"""
When the environment is closed the dashboard will also be closed.
This function does not need to be called explicitly.
"""
if self._dashboard is not None:
self._dashboard.close()
def _system_eq(self, t, state, u_in, noise):
"""
The differential equation of the whole system consisting of the converter, load and motor.
This function is called by the integrator.
Args:
t: Current time of the system
state: The current state as a numpy array.
u_in: Applied input voltage
Returns:
The solution of the system. The first derivatives of all the state variables of the system.
"""
t_load = self.load_model.load(state[self.OMEGA_IDX])
return self.motor_model.model(state, t_load, u_in + noise)
def _system_jac(self, t, state):
"""
The Jacobian matrix of the systems equation.
Args:
t: Current time of the system.
state: Current state
Returns:
The solution of the Jacobian matrix for the current state
"""
load_jac = self.load_model.jac(state)
return self.motor_model.jac(state, load_jac)
# region Reference Generation
def _reference_sin(self, bandwidth=20):
"""
Set sinus references for the state variables with a random amplitude, offset and phase shift
Args:
bandwidth: bandwidth of the system
"""
x = np.arange(0, (self._episode_length + self._prediction_horizon))
if self.observation_space.low[0] == 0.0:
amplitude = np.random.rand() / 2
offset = np.random.rand() * (1 - 2*amplitude) + amplitude
else:
amplitude = np.random.rand()
offset = (2 * np.random.rand() - 1) * (1 - amplitude)
t_min, t_max = self._set_time_interval_reference('sin', bandwidth) # specify range for period time
t_s = np.random.rand() * (t_max - t_min) + t_min
phase_shift = 2 * np.pi * np.random.rand()
self._reference = amplitude * np.sin(2 * np.pi / t_s * x * self.tau + phase_shift) + offset
self._reference = self._reference*np.ones((len(self.state_vars), 1))/self._safety_margin
def _reference_rect(self, bandwidth=20):
"""
Set rect references for the state variables with a random amplitude, offset and phase shift
Args:
bandwidth: bandwidth of the system
"""
x = np.arange(0, (self._episode_length + self._prediction_horizon))
if self.observation_space.low[self.OMEGA_IDX] == 0.0:
amplitude = np.random.rand()
offset = np.random.rand() * (1 - amplitude)
else:
amplitude = 2 * np.random.rand() - 1
offset = (-1 + np.random.rand() * (2 - np.abs(amplitude))) * np.sign(amplitude)
t_min, t_max = self._set_time_interval_reference('rect', bandwidth)
# specify range for period time
t_s = np.random.rand() * (t_max - t_min) + t_min
# time period on amplitude + offset value
t_on = np.random.rand() * t_s
# time period on offset value
t_off = t_s - t_on
reference = np.zeros(self._episode_length + self._prediction_horizon)
reference[x * self.tau % (t_on + t_off) > t_off] = amplitude
reference += offset
self._reference = reference * np.ones((len(self.state_vars), 1)) / self._safety_margin
def _reference_tri(self, bandwidth=20):
"""
Set triangular reference with random amplitude, offset, times for rise and fall for all state variables
Args:
bandwidth: bandwidth of the system
"""
t_min, t_max = self._set_time_interval_reference('tri', bandwidth) # specify range for period time
t_s = np.random.rand() * (t_max-t_min) + t_min
t_rise = np.random.rand() * t_s
t_fall = t_s - t_rise
if self.observation_space.low[self.OMEGA_IDX] == 0.0:
amplitude = np.random.rand()
offset = np.random.rand() * (1 - amplitude)
else:
amplitude = 2 * np.random.rand() - 1
offset = (-1 + np.random.rand() * (2 - np.abs(amplitude))) * np.sign(amplitude)
reference = np.ones(self._episode_length + self._prediction_horizon)
for t in range(0, (self._episode_length + self._prediction_horizon)):
# use a triangular function
if (t*self.tau) % t_s <= t_rise:
reference[t] = ((t * self.tau) % t_s) / t_rise * amplitude + offset
else:
reference[t] = -((t * self.tau) % t_s - t_s) / t_fall * amplitude + offset
self._reference = reference*np.ones((len(self.state_vars), 1))/self._safety_margin
def _reference_sawtooth(self, bandwidth=20):
"""
Sawtooth signal generator with random time period and amplitude
Args:
bandwidth: bandwidth of the system
"""
t_min, t_max = self._set_time_interval_reference('sawtooth', bandwidth) # specify range for period time
t_s = np.random.rand() * (t_max - t_min) + t_min
if self.observation_space.low[self.OMEGA_IDX] == 0.0:
amplitude = np.random.rand()
else:
amplitude = 2 * np.random.rand() - 1
x = np.arange(self.episode_length + self._prediction_horizon, dtype=float)
self._reference = np.ones_like(x, dtype=float)
self._reference *= (x * self.tau) % t_s * amplitude / t_s
self._reference = self._reference * np.ones((len(self.state_vars), 1)) / self._safety_margin
def _generate_references(self, bandwidth=20):
"""
Select which reference to generate. The shaped references (rect, sin, triangular, sawtooth) are equally probable
with 12,5% and a random reference is generated with a probability of 50%
Args:
bandwidth: bandwidth of the system
"""
val = np.random.rand()
if val < 0.125:
self._reference_rect(bandwidth)
elif val < 0.25:
self._reference_sin(bandwidth)
elif val < 0.375:
self._reference_tri(bandwidth)
elif val < 0.5:
self._reference_sawtooth(bandwidth)
else:
self._generate_random_references()
# Set the supply voltage.
# In this step an additive noise to the supply voltage can be implemented in the future.
u_sup = np.ones(self.episode_length + self._prediction_horizon) * self.motor_model.u_sup \
/ self._limits[self._state_var_positions['u_sup']]
self._reference[self._state_var_positions['u_sup']] = u_sup
# Reset all zero references to zero.
self._reference[self._zero_ref_flags] = np.zeros((len(self._zero_refs),
self.episode_length + self._prediction_horizon))
def _generate_random_references(self):
"""
Each subclass needs to define its own random reference generation here.
"""
raise NotImplementedError()
def _generate_random_control_sequence(self, bw, maximum):
"""
Function that is called by the random reference generation in the motors to generate a random control sequence.
A random control sequence is applied onto the system and generates the reference trajectories.
Args:
bw: Bandwidth for the control sequence
maximum: Maximum value for the control sequence
Returns:
A random control sequence that is following the bandwidth and power constraints at most.
"""
ref_len = self.episode_length + self._prediction_horizon
rands = np.random.randn(2, ref_len // 2)
u = rands[0] + 1j * rands[1]
bw_noise = np.random.rand() * 0.5
bw *= bw_noise
delta_w = 2 * np.pi / ref_len / self._tau
u[int(bw / delta_w) + 1:] = 0.0
sigma = np.linspace(1, 0, int(bw / delta_w) + 1)
if len(sigma) < len(u):
u[:len(sigma)] *= sigma
else:
u *= sigma[:len(u)]
fourier = np.concatenate((np.random.randn(1), u, np.flip(np.conjugate(u))))
u = np.fft.ifft(fourier).real
power_noise = np.random.rand() + 0.5
u = u * maximum / np.sqrt((u ** 2).sum() / ref_len) * power_noise
leakage = np.random.rand(1) * 0.1
voltage_offset = maximum * ((self.converter_model.voltages[1] - self.converter_model.voltages[0])
* np.random.rand() + self.converter_model.voltages[0])
u += voltage_offset
u = np.clip(u, (self.converter_model.voltages[0] - leakage) * maximum,
(self.converter_model.voltages[1] + leakage) * maximum)
return u[:ref_len]
def _set_time_interval_reference(self, shape=None, bandwidth=20):
"""
This function returns the minimum and maximum time period specified by the bandwidth of the motor,
episode length and individual modifications for each shape
At least on time period of a shape should fit in an episode, but not to fast that the motor can not follow the
reference properly.
Args:
shape: shape of the reference
Returns:
Minimal and maximal time period
"""
bw = self._maximal_bandwidth(bandwidth) # Bandwidth of reference limited
t_episode = (self.episode_length+self._prediction_horizon)*self.tau
t_min = min(1 / bw, t_episode)
t_max = max(1 / bw, t_episode)
# In this part individual modifications can be made for each shape
# Modify the values to get useful references. Some testing necessary to find practical values.
if shape == 'sin':
t_min = t_min
t_max = t_max / 3
elif shape == 'rect':
t_min = t_min
t_max = t_max / 3
elif shape == 'tri':
t_min = t_min
t_max = t_max / 5
elif shape == 'sawtooth':
t_min = t_min
t_max = t_max / 5
else:
t_min = t_min
t_max = t_max/5
return min(t_min, t_max), max(t_min, t_max) # make sure that the order is correct
def _maximal_bandwidth(self, bandwidth=20):
"""
Computes the maximal allowed bandwidth, considering a user defined limit and the technical limit.
Args:
bandwidth: Maximal user defined value for the bandwidth
Returns:
Maximal bandwidth for the reference
"""
return min(self.motor_model.bandwidth(), bandwidth)
# endregion
def _set_initial_state(self):
"""
Defined in each motor itself. Sets the initial environment state.
"""
raise NotImplementedError
# region Reward Functions
def _reward_functions(self, key):
"""
Selector for the concrete reward function selected by the key string
Returns:
The selected reward function.
"""
return {
# (Reward Function, Reward Range)
'swae': (self._absolute_error, (-1, 0)),
'swse': (self._squared_error, (-1, 0)),
'swsae': (self._shifted_absolute_error, (0, 1)),
'swsse': (self._shifted_squared_error, (0, 1)),
}[key]
def _absolute_error(self, state, reference):
"""
The weighted, absolute error between the reference and state variables normalised to [-1,0]
Args:
state: the current state of the environment
reference: the current reference values of the observation variables
Returns:
The reward value
"""
return -(self._reward_weights * np.abs(state - reference)
/ (self.observation_space.high[:len(self.state_vars)]
- self.observation_space.low[:len(self.state_vars)])
).sum()
def _squared_error(self, state, reference):
"""
The weighted, squared absolute error between the reference and state variables normalised to [-1,0]
Args:
state: the current state of the environment
reference: the current reference values of the observation variables
Returns:
The reward value
"""
return -(self._reward_weights *
((state - reference)
/ (self.observation_space.high[:len(self.state_vars)]
- self.observation_space.low[:len(self.state_vars)])
)**2
).sum()
def _shifted_squared_error(self, state, reference):
"""
The weighted, squared error between the reference and state variables normalised to [0,1]
Args:
state: the current state of the environment
reference: the current reference values of the observation variables
Returns:
The reward value
"""
return 1 + self._squared_error(state, reference)
def _shifted_absolute_error(self, state, reference):
"""
The weighted, absolute error between the reference and state variables normalised to [0,1]
Args:
state: the current state of the environment
reference: the current reference values of the observation variables
Returns:
The reward value
"""
return 1 + self._absolute_error(state, reference)
# endregion
# region Limit Observers
def _limit_observers(self, key):
"""
Selector for the concrete limit observer by the key string.
Returns:
The selected limit observer function.
"""
return {
'off': self._no_observation,
'no_punish': self._no_punish,
'const_punish': self._const_punish,
}[key]
def _no_punish(self, state):
"""
No reward punishment, only break the episode when limits are violated. Recommended for positive rewards.
Args:
state: Current state of the environment
Returns:
Tuple of a flag if the episode should be terminated and the punishment for the reward
"""
if self._limits_violated(state):
return False, 0.0
else:
return True, 0.0
def _const_punish(self, state):
"""
Punishment, if constraints are violated and termination of the episode.
The punishment equals -1 / (1 - self.gamma), which is equivalent to the by gamma discounted reward a learner
would receive, if it receives always the minimum reward after the limit violation.
This punishment is recommended, when taking a negative reward function.
Args:
state: Current state of the environment
Returns:
Tuple of a flag if the episode should be terminated and the punishment for the reward
"""
if self._limits_violated(state):
return False, 0.0
else:
# Terminate the episode if constraints are violated
return True, -1 * 1 / (1 - self._gamma)
def _limits_violated(self, state):
"""
Check, if any limit is violated.
Args:
state: Current state of the environment
Returns:
True, if any limit is violated, false otherwise.
"""
return (np.abs(state) <= self.observation_space.high[:len(self.state_vars)] * self._limits).all()
def _no_observation(self, *_):
"""
No limit violations are observed. No punishment and the episode continues even after limit violations.
Args:
state: Current state of the motor
Returns:
Tuple of a flag if the episode should be terminated (here always false)
and the punishment for the reward (here always 0)
"""
return False, 0.0
# endregion
def get_motor_param(self):
"""
Returns:
This function returns all motor parameters, sampling time, safety margin and converter limits
"""
params = self.motor_parameter
params['converter_voltage'] = self.converter_model.voltages
params['converter_current'] = self.converter_model.currents
return params
|
[
"wilhelmk@campus.uni-paderborn.de"
] |
wilhelmk@campus.uni-paderborn.de
|
5a45bf84ab969517a17806532492d907662c8f93
|
844e0cd4ffbe1ead05b844508276f66cc20953d5
|
/test/testseqdiagbuilder.py
|
111bfcc7200d6457de50b6bc106cb2bee15747bd
|
[] |
no_license
|
Archanciel/cryptopricer
|
a256fa793bb1f2d65b5c032dd81a266ee5be79cc
|
00c0911fe1c25c1da635dbc9b26d45be608f0cc5
|
refs/heads/master
| 2022-06-29T13:13:22.435670
| 2022-05-11T20:37:43
| 2022-05-11T20:37:43
| 100,196,449
| 2
| 1
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 66,316
|
py
|
import unittest
import os, sys, inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(currentdir)
sys.path.insert(0, parentdir)
sys.path.insert(0,currentdir) # this instruction is necessary for successful importation of utilityfortest module when
# the test is executed standalone
from testclasses.isolatedclass import IsolatedClass
from testclasses.subtestpackage.isolatedclasssub import IsolatedClassSub
from testclasses.isolatedclasswithinstancevariables import IsolatedClassWithInstanceVariables
from testclasses.foobarclasses import *
from testclasses.subtestpackage.dsub import DSub
from testclasses.subtestpackage.caller import Caller
class Client:
def do(self):
c1 = ChildOne()
c1.getCoordinate()
def make(self):
c1 = ChildOne()
c1.compute()
def perform(self):
c1 = ChildOne()
c1.computeTwo()
def doCall(self):
c1 = ChildOne()
c1.computeThree()
def doProcess(self):
c1 = ChildOfChildTwo()
c1.computeFour()
class Parent:
def getCoordinate(self, location=''):
'''
:param location:
:seqdiag_return Coord
:return:
'''
SeqDiagBuilder.recordFlow()
def getCoordinateNoneSelected(self, location=''):
'''
:param location:
:seqdiag_return Coord
:return:
'''
SeqDiagBuilder.recordFlow()
def compute(self, size = 0):
'''
This a dummy merhod.
:seqdiag_return Analysis
:return:
'''
pass
def computeTwo(self, size = 0):
'''
This a dummy merhod.
:seqdiag_select_method
:seqdiag_return Analysis
:return:
'''
pass
def computeThree(self, size = 0):
'''
This a dummy merhod.
:seqdiag_select_method
:seqdiag_return Analysis
:return:
'''
iso = IsolatedClass()
iso.analyse()
def computeFour(self, size = 0):
'''
This a dummy merhod.
:seqdiag_return Analysis
:return:
'''
pass
def inheritedMethod(self, inhArg):
'''
This a dummy merhod.
:seqdiag_return inhMethResult
:return:
'''
SeqDiagBuilder.recordFlow()
class ChildOne(Parent):
def getCoordinate(self, location=''):
iso = IsolatedClass()
iso.analyse()
def getCoordinateNoneSelected(self, location=''):
iso = IsolatedClass()
iso.analyse()
def m(self):
pass
def compute(self, size = 0):
'''
This a dummy merhod.
:seqdiag_select_method
:seqdiag_return Analysis
:return:
'''
super().compute(size)
iso = IsolatedClass()
iso.analyse()
def computeTwo(self, size = 0):
'''
This a dummy merhod.
:seqdiag_select_method
:seqdiag_return Analysis
:return:
'''
super().compute(size)
iso = IsolatedClass()
iso.analyse()
class ChildTwo(Parent):
def l(self):
pass
def computeFour(self, size = 0):
'''
This a dummy merhod.
:seqdiag_select_method
:seqdiag_return Analysis
:return:
'''
iso = IsolatedClass()
iso.analyse()
def getCoordinateNoneSelected(self, location=''):
SeqDiagBuilder.recordFlow()
class ChildThree(Parent):
def getCoordinate(self, location=''):
'''
:param location:
:seqdiag_return CoordSel
:seqdiag_select_method
:return:
'''
SeqDiagBuilder.recordFlow()
class ChildOfChildTwo(Parent):
def l(self):
pass
def computeFour(self, size = 0):
'''
This a dummy merhod.
:seqdiag_return Analysis
:return:
'''
iso = IsolatedClass()
iso.analyse()
class ClassA:
def doWork(self):
'''
:seqdiag_return ClassAdoWorkRes
:return:
'''
self.internalCall()
def internalCall(self):
'''
:seqdiag_return ResultPrice
:return:
'''
pr = self.internalInnerCall()
b = ClassB()
res = b.createRequest(1, 2)
def internalInnerCall(self):
'''
:seqdiag_return ResultPrice
:return:
'''
b = ClassB()
res = b.createInnerRequest(1)
def aMethod(self, aMarg):
'''
:seqdiag_return ResultAmeth
:return:
'''
child = ChildTwo()
child.inheritedMethod(aMarg)
class ClassB:
def createInnerRequest(self, parm1):
'''
:seqdiag_return Bool
:param parm1:
:return:
'''
SeqDiagBuilder.recordFlow()
def createRequest(self, parm1, parm2):
'''
:seqdiag_return Bool
:param parm1:
:return:
'''
SeqDiagBuilder.recordFlow()
class C:
def c1(self, c1_p1):
'''
:param c1_p1:
:seqdiag_return Cc1Return
:return:
'''
SeqDiagBuilder.recordFlow()
def c2(self, c2_p1):
'''
:param c2_p1:
:seqdiag_return Cc2Return
:return:
'''
d = DSub()
d.d1(1)
def c3(self, c3_p1):
'''
:param c3_p1:
:seqdiag_return Cc3Return
:return:
'''
d = DSub()
d.d2(1)
SeqDiagBuilder.recordFlow()
self.c4(1)
def c4(self, c4_p1):
'''
:param c4_p1:
:seqdiag_return Cc4Return
:return:
'''
d = DSub()
d.d2(1)
SeqDiagBuilder.recordFlow()
def c5(self, c5_p1):
'''
:param c5_p1:
:seqdiag_return Cc5Return
:return:
'''
d = DSub()
d.d3(1)
def fibonaci(self, number):
'''
:param number:
:seqdiag_return CfibonaciReturn
:return:
'''
if number == 1:
SeqDiagBuilder.recordFlow()
return 1
else:
return number + self.fibonaci(number - 1)
class B:
'''
:seqdiag_note Test class note for class B
'''
def b0(self, b1_p1):
'''
:param b1_p1:
:seqdiag_return Bb1Return
:return:
'''
pass
def b1(self, b1_p1):
'''
:param b1_p1:
:seqdiag_return Bb1Return
:return:
'''
SeqDiagBuilder.recordFlow()
def b2(self, b2_p1):
'''
:param b2_p1:
:seqdiag_return Bb2Return
:return:
'''
c = C()
c.c1(1)
def b3(self, b3_p1):
'''
:param b3_p1:
:seqdiag_return Bb3Return
:return:
'''
c = C()
c.c1(1)
c.c1(1)
def b4(self, b4_p1):
'''
:param b4_p1:
:seqdiag_return Bb4Return
:return:
'''
SeqDiagBuilder.recordFlow()
def b5(self, b5_p1):
'''
:param b5_p1:
:seqdiag_return Bb5Return
:return:
'''
SeqDiagBuilder.recordFlow()
def b6(self, b6_p1):
'''
:param b6_p1:
:seqdiag_return Bb6Return
:return:
'''
c = C()
c.c2(1)
def b7(self, b7_p1):
'''
:param b7_p1:
:seqdiag_return Bb7Return
:return:
'''
c = C()
c.c3(1)
SeqDiagBuilder.recordFlow()
d = DSub()
d.d2(1)
def b8(self, b8_p1):
'''
:param b8_p1:
:seqdiag_return Bb8Return
:return:
'''
c = C()
c.c5(1)
d = DSub()
d.d2(1)
class A:
'''
:seqdiag_note Test class note for class A
'''
def a0(self, a1_p1, a1_p2):
'''
:param a1_p1:
:param a1_p2:
:seqdiag_return Aa1Return
:return:
'''
pass
def a1(self, a1_p1, a1_p2):
'''
:param a1_p1:
:param a1_p2:
:seqdiag_return Aa1Return
:return:
'''
SeqDiagBuilder.recordFlow()
def a2(self, a2_p1):
'''
:param a2_p1:
:seqdiag_return Aa2Return
:return:
'''
b = B()
b.b1(1)
def a3(self, a3_p1):
'''
:param a3_p1:
:seqdiag_return Aa3Return
:return:
'''
b = B()
b.b2(1)
def a4(self, a4_p1):
'''
:param a4_p1:
:seqdiag_return Aa4Return
:return:
'''
b = B()
b.b1(1)
b.b1(1)
def a5(self, a5_p1):
'''
:param a5_p1:
:seqdiag_return Aa5Return
:return:
'''
b = B()
b.b1(1)
b.b1(1)
b.b1(1)
def a6(self, a6_p1):
'''
:param a6_p1:
:seqdiag_return Aa6Return
:return:
'''
b = B()
b.b2(1)
b.b2(1)
def a7(self, a7_p1):
'''
:param a7_p1:
:seqdiag_return Aa6Return
:return:
'''
b = B()
b.b3(1)
def a8(self, a8_p1, a8_p2):
'''
:param a8_p1:
:param a8_p2:
:seqdiag_return Aa8Return
:return:
'''
SeqDiagBuilder.recordFlow()
def a9(self, a9_p1):
'''
:param a9_p1:
:seqdiag_return Aa9Return
:return:
'''
SeqDiagBuilder.recordFlow()
def a10(self, a10_p1):
'''
:param a10_p1:
:seqdiag_return Aa10Return
:return:
'''
b = B()
b.b4(1)
b.b5(1)
def a11(self, a11_p1):
'''
:param a11_p1:
:seqdiag_return Aa11Return
:return:
'''
b = B()
b.b6(1)
b.b6(1)
def a12(self, a12_p1):
'''
:param a12_p1:
:seqdiag_return Aa12Return
:return:
'''
b = B()
b.b7(1)
b.b7(1)
SeqDiagBuilder.recordFlow()
def a13(self, a13_p1):
'''
:param a13_p1:
:seqdiag_return Aa13Return
:return:
'''
b = B()
b.b8(1)
b.b8(1)
class TestSeqDiagBuilder(unittest.TestCase):
def setUp(self):
SeqDiagBuilder.deactivate()
def testCreateSeqDiagCommandsOnSimplestCallWithoutRecordFlowCallInLeafMethod(self):
entryPoint = A()
SeqDiagBuilder.activate(parentdir, 'A', 'a0') # activate sequence diagram building
entryPoint.a0(1, 2)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 1)
self.assertEqual(
'''@startuml
center header
<b><font color=red size=20> Warnings</font></b>
<b><font color=red size=14> No control flow recorded.</font></b>
<b><font color=red size=14> Method activate() called with arguments projectPath=<{}>, entryClass=<A>, entryMethod=<a0>, classArgDic=<None>: True.</font></b>
<b><font color=red size=14> Method recordFlow() called: False.</font></b>
<b><font color=red size=14> Specified entry point: A.a0 reached: False.</font></b>
endheader
actor USER
@enduml'''.format(parentdir), commands) # using format() instead og replace fails !
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnSimplestCall(self):
entryPoint = A()
SeqDiagBuilder.activate(parentdir, 'A', 'a1') # activate sequence diagram building
entryPoint.a1(1, 2)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
self.assertEqual(
'''@startuml
actor USER
participant TestSeqDiagBuilder
participant A
/note over of A
Test class note for class A
end note
USER -> A: a1(a1_p1, a1_p2)
activate A
USER <-- A: return Aa1Return
deactivate A
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnSimplestCallNotPassingProjectDir(self):
entryPoint = A()
SeqDiagBuilder.activate(None, 'A', 'a1') # activate sequence diagram building
entryPoint.a1(1, 2)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 1)
self.assertEqual(
'''@startuml
center header
<b><font color=red size=20> Warnings</font></b>
<b><font color=red size=14> No control flow recorded.</font></b>
<b><font color=red size=14> Method activate() called with arguments projectPath=<None>, entryClass=<A>, entryMethod=<a1>, classArgDic=<None>: True.</font></b>
<b><font color=red size=14> Method recordFlow() called: True.</font></b>
<b><font color=red size=14> Specified entry point: A.a1 reached: False.</font></b>
endheader
actor USER
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnSimplestCallPassingEmptyProjectDir(self):
entryPoint = A()
SeqDiagBuilder.activate('', 'A', 'a1') # activate sequence diagram building
entryPoint.a1(1, 2)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 1)
self.assertEqual(
'''@startuml
center header
<b><font color=red size=20> Warnings</font></b>
<b><font color=red size=14> No control flow recorded.</font></b>
<b><font color=red size=14> Method activate() called with arguments projectPath=<>, entryClass=<A>, entryMethod=<a1>, classArgDic=<None>: True.</font></b>
<b><font color=red size=14> Method recordFlow() called: True.</font></b>
<b><font color=red size=14> Specified entry point: A.a1 reached: False.</font></b>
endheader
actor USER
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsTwoLevelCallTwoDiffMethods(self):
entryPoint = A()
SeqDiagBuilder.activate(parentdir, 'A', 'a10') # activate sequence diagram building
entryPoint.a10(1)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
self.assertEqual(
'''@startuml
actor USER
participant TestSeqDiagBuilder
participant A
/note over of A
Test class note for class A
end note
participant B
/note over of B
Test class note for class B
end note
USER -> A: a10(a10_p1)
activate A
A -> B: b4(b4_p1)
activate B
A <-- B: return Bb4Return
deactivate B
A -> B: b5(b5_p1)
activate B
A <-- B: return Bb5Return
deactivate B
USER <-- A: return Aa10Return
deactivate A
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnTwoLevelCall(self):
entryPoint = A()
SeqDiagBuilder.activate(parentdir, 'A', 'a2') # activate sequence diagram building
entryPoint.a2(1)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
actor USER
participant TestSeqDiagBuilder
participant A
/note over of A
Test class note for class A
end note
participant B
/note over of B
Test class note for class B
end note
USER -> A: a2(a2_p1)
activate A
A -> B: b1(b1_p1)
activate B
A <-- B: return Bb1Return
deactivate B
USER <-- A: return Aa2Return
deactivate A
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnThreeLevelCallingMidLevelMethodTwice(self):
entryPoint = A()
SeqDiagBuilder.activate(parentdir, 'A', 'a6') # activate sequence diagram building
entryPoint.a6(1)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
actor USER
participant TestSeqDiagBuilder
participant A
/note over of A
Test class note for class A
end note
participant B
/note over of B
Test class note for class B
end note
participant C
USER -> A: a6(a6_p1)
activate A
A -> B: b2(b2_p1)
activate B
B -> C: c1(c1_p1)
activate C
B <-- C: return Cc1Return
deactivate C
A <-- B: return Bb2Return
deactivate B
A -> B: b2(b2_p1)
activate B
B -> C: c1(c1_p1)
activate C
B <-- C: return Cc1Return
deactivate C
A <-- B: return Bb2Return
deactivate B
USER <-- A: return Aa6Return
deactivate A
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnFiveLevelCallingSecondLevelMethodTwice(self):
entryPoint = A()
SeqDiagBuilder.activate(parentdir, 'A', 'a11') # activate sequence diagram building
entryPoint.a11(1)
commands = SeqDiagBuilder.createSeqDiaqCommands(actorName='USER', title='Sequence diagram title')
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
title Sequence diagram title
actor USER
participant TestSeqDiagBuilder
participant A
/note over of A
Test class note for class A
end note
participant B
/note over of B
Test class note for class B
end note
participant C
participant DSub
/note over of DSub
Short note DSub
end note
USER -> A: a11(a11_p1)
activate A
A -> B: b6(b6_p1)
activate B
B -> C: c2(c2_p1)
activate C
C -> DSub: d1(d1_p1)
activate DSub
C <-- DSub: return Dd1Return
deactivate DSub
B <-- C: return Cc2Return
deactivate C
A <-- B: return Bb6Return
deactivate B
A -> B: b6(b6_p1)
activate B
B -> C: c2(c2_p1)
activate C
C -> DSub: d1(d1_p1)
activate DSub
C <-- DSub: return Dd1Return
deactivate DSub
B <-- C: return Cc2Return
deactivate C
A <-- B: return Bb6Return
deactivate B
USER <-- A: return Aa11Return
deactivate A
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnFiveLevelCallingSecondLevelMethodTwiceProjectPathUnixLike(self):
entryPoint = A()
SeqDiagBuilder.activate(parentdir.replace('\\','/'), 'A', 'a11') # activate sequence diagram building
entryPoint.a11(1)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
actor USER
participant TestSeqDiagBuilder
participant A
/note over of A
Test class note for class A
end note
participant B
/note over of B
Test class note for class B
end note
participant C
participant DSub
/note over of DSub
Short note DSub
end note
USER -> A: a11(a11_p1)
activate A
A -> B: b6(b6_p1)
activate B
B -> C: c2(c2_p1)
activate C
C -> DSub: d1(d1_p1)
activate DSub
C <-- DSub: return Dd1Return
deactivate DSub
B <-- C: return Cc2Return
deactivate C
A <-- B: return Bb6Return
deactivate B
A -> B: b6(b6_p1)
activate B
B -> C: c2(c2_p1)
activate C
C -> DSub: d1(d1_p1)
activate DSub
C <-- DSub: return Dd1Return
deactivate DSub
B <-- C: return Cc2Return
deactivate C
A <-- B: return Bb6Return
deactivate B
USER <-- A: return Aa11Return
deactivate A
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnFiveLevelCallingSecondLevelMethodTwiceWithRecordFlowInEveryMethod(self):
entryPoint = A()
SeqDiagBuilder.activate(parentdir, 'A', 'a12') # activate sequence diagram building
entryPoint.a12(1)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
actor USER
participant TestSeqDiagBuilder
participant A
/note over of A
Test class note for class A
end note
participant B
/note over of B
Test class note for class B
end note
participant C
participant DSub
/note over of DSub
Short note DSub
end note
USER -> A: a12(a12_p1)
activate A
A -> B: b7(b7_p1)
activate B
B -> C: c3(c3_p1)
activate C
C -> DSub: d2(d2_p1)
activate DSub
C <-- DSub: return Dd2Return
deactivate DSub
C -> C: c4(c4_p1)
activate C
C -> DSub: d2(d2_p1)
activate DSub
C <-- DSub: return Dd2Return
deactivate DSub
C <-- C: return Cc4Return
deactivate C
B <-- C: return Cc3Return
deactivate C
B -> DSub: d2(d2_p1)
activate DSub
B <-- DSub: return Dd2Return
deactivate DSub
A <-- B: return Bb7Return
deactivate B
A -> B: b7(b7_p1)
activate B
B -> C: c3(c3_p1)
activate C
C -> DSub: d2(d2_p1)
activate DSub
C <-- DSub: return Dd2Return
deactivate DSub
C -> C: c4(c4_p1)
activate C
C -> DSub: d2(d2_p1)
activate DSub
C <-- DSub: return Dd2Return
deactivate DSub
C <-- C: return Cc4Return
deactivate C
B <-- C: return Cc3Return
deactivate C
B -> DSub: d2(d2_p1)
activate DSub
B <-- DSub: return Dd2Return
deactivate DSub
A <-- B: return Bb7Return
deactivate B
USER <-- A: return Aa12Return
deactivate A
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnFiveLevelCallingSecondLevelMethodTwiceWithRecordFlowInOnePlaceOnlySpecifyingNoteLengthLimit(self):
entryPoint = A()
SeqDiagBuilder.activate(parentdir, 'A', 'a13') # activate sequence diagram building
entryPoint.a13(1)
commands = SeqDiagBuilder.createSeqDiaqCommands(actorName='USER', title=None, maxSigArgNum=None, maxSigCharLen=200, maxNoteCharLen=15)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
actor USER
participant TestSeqDiagBuilder
participant A
/note over of A
Test class note for
class A
end note
participant B
/note over of B
Test class note for
class B
end note
participant DSub
/note over of DSub
Short note DSub
end note
USER -> A: a13(a13_p1)
activate A
A -> B: b8(b8_p1)
activate B
B -> DSub: d2(d2_p1)
activate DSub
B <-- DSub: return Dd2Return
deactivate DSub
A <-- B: return Bb8Return
deactivate B
A -> B: b8(b8_p1)
activate B
B -> DSub: d2(d2_p1)
activate DSub
B <-- DSub: return Dd2Return
deactivate DSub
A <-- B: return Bb8Return
deactivate B
USER <-- A: return Aa13Return
deactivate A
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnThreeLevelCallingLastLevelMethodTwice(self):
'''
Calling two level deep method which calls last Level method twice
:return:
'''
entryPoint = A()
SeqDiagBuilder.activate(parentdir, 'A', 'a7') # activate sequence diagram building
entryPoint.a7(1)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
actor USER
participant TestSeqDiagBuilder
participant A
/note over of A
Test class note for class A
end note
participant B
/note over of B
Test class note for class B
end note
participant C
USER -> A: a7(a7_p1)
activate A
A -> B: b3(b3_p1)
activate B
B -> C: c1(c1_p1)
activate C
B <-- C: return Cc1Return
deactivate C
B -> C: c1(c1_p1)
activate C
B <-- C: return Cc1Return
deactivate C
A <-- B: return Bb3Return
deactivate B
USER <-- A: return Aa6Return
deactivate A
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnTwoLevelCallCallingMethodTwice(self):
entryPoint = A()
SeqDiagBuilder.activate(parentdir, 'A', 'a4') # activate sequence diagram building
entryPoint.a4(1)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
actor USER
participant TestSeqDiagBuilder
participant A
/note over of A
Test class note for class A
end note
participant B
/note over of B
Test class note for class B
end note
USER -> A: a4(a4_p1)
activate A
A -> B: b1(b1_p1)
activate B
A <-- B: return Bb1Return
deactivate B
A -> B: b1(b1_p1)
activate B
A <-- B: return Bb1Return
deactivate B
USER <-- A: return Aa4Return
deactivate A
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnTwoLevelCallCallingMethodThreeTimes(self):
entryPoint = A()
SeqDiagBuilder.activate(parentdir, 'A', 'a5') # activate sequence diagram building
entryPoint.a5(1)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
actor USER
participant TestSeqDiagBuilder
participant A
/note over of A
Test class note for class A
end note
participant B
/note over of B
Test class note for class B
end note
USER -> A: a5(a5_p1)
activate A
A -> B: b1(b1_p1)
activate B
A <-- B: return Bb1Return
deactivate B
A -> B: b1(b1_p1)
activate B
A <-- B: return Bb1Return
deactivate B
A -> B: b1(b1_p1)
activate B
A <-- B: return Bb1Return
deactivate B
USER <-- A: return Aa5Return
deactivate A
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnThreeLevelCall(self):
entryPoint = A()
SeqDiagBuilder.activate(parentdir, 'A', 'a3') # activate sequence diagram building
entryPoint.a3(1)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
self.assertEqual(
'''@startuml
actor USER
participant TestSeqDiagBuilder
participant A
/note over of A
Test class note for class A
end note
participant B
/note over of B
Test class note for class B
end note
participant C
USER -> A: a3(a3_p1)
activate A
A -> B: b2(b2_p1)
activate B
B -> C: c1(c1_p1)
activate C
B <-- C: return Cc1Return
deactivate C
A <-- B: return Bb2Return
deactivate B
USER <-- A: return Aa3Return
deactivate A
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def test_instanciateClassInitTwoArgs(self):
className = 'IsolatedClassWithInstanceVariables'
packageSpec = 'testclasses.'
moduleName = 'isolatedclasswithinstancevariables'
instance = SeqDiagBuilder._instanciateClass(className, packageSpec, moduleName)
self.assertIsInstance(instance, IsolatedClassWithInstanceVariables)
def test_instanciateClassInitNoArgs(self):
className = 'IsolatedClass'
packageSpec = 'testclasses.'
moduleName = 'isolatedclass'
instance = SeqDiagBuilder._instanciateClass(className, packageSpec, moduleName)
self.assertIsInstance(instance, IsolatedClass)
def test_instanciateClassInitNoArgsSubPackageSpec(self):
className = 'IsolatedClassSub'
packageSpec = 'testclasses.subtestpackage.'
moduleName = 'isolatedclasssub'
instance = SeqDiagBuilder._instanciateClass(className, packageSpec, moduleName)
self.assertIsInstance(instance, IsolatedClassSub)
def test_instanciateClassInitNoArgsEmptyPackageSpec(self):
className = 'Client'
packageSpec = ''
moduleName = 'testseqdiagbuilder'
instance = SeqDiagBuilder._instanciateClass(className, packageSpec, moduleName)
self.assertIsInstance(instance, Client)
def test_instanciateClassInitNoArgsEmptyPackageSpecClassInProjectRoot(self):
className = 'SeqDiagBuilder'
packageSpec = ''
moduleName = 'seqdiagbuilder'
instance = SeqDiagBuilder._instanciateClass(className, packageSpec, moduleName)
self.assertIsInstance(instance, SeqDiagBuilder)
def testRecordFlowWhereMulitpleClassesSupportSameMethodAndOneIsSelected(self):
entryPoint = ChildThree()
SeqDiagBuilder.activate(parentdir, 'ChildThree', 'getCoordinate') # activate sequence diagram building
entryPoint.getCoordinate()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
actor USER
participant TestSeqDiagBuilder
participant ChildThree
USER -> ChildThree: getCoordinate(location='')
activate ChildThree
USER <-- ChildThree: return CoordSel
deactivate ChildThree
@enduml''', commands)
SeqDiagBuilder.deactivate()
def testRecordFlowWhereMulitpleClassesSupportSameMethodAndOneIsSelectedInOtherClass(self):
entryPoint = ChildTwo()
SeqDiagBuilder.activate(parentdir, 'ChildTwo', 'getCoordinate') # activate sequence diagram building
entryPoint.getCoordinate()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
center header
<b><font color=red size=20> Warnings</font></b>
<b><font color=red size=14> No control flow recorded.</font></b>
<b><font color=red size=14> Method activate() called with arguments projectPath=<{}>, entryClass=<ChildTwo>, entryMethod=<getCoordinate>, classArgDic=<None>: True.</font></b>
<b><font color=red size=14> Method recordFlow() called: True.</font></b>
<b><font color=red size=14> Specified entry point: ChildTwo.getCoordinate reached: False.</font></b>
endheader
actor USER
@enduml'''.format(parentdir), commands) # using format() instead og replace fails !
SeqDiagBuilder.deactivate()
def testRecordFlowWhereMulitpleClassesSupportSameMethodAndNoneIsSelected(self):
entryPoint = ChildTwo()
SeqDiagBuilder.activate(parentdir, 'ChildTwo', 'getCoordinateNoneSelected') # activate sequence diagram building
entryPoint.getCoordinateNoneSelected()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
center header
<b><font color=red size=20> Warnings</font></b>
<b><font color=red size=20> 1</font></b>
<b><font color=red size=14> More than one class ['Parent', 'ChildOne', 'ChildTwo', 'ChildThree', 'ChildOfChildTwo'] found in module testseqdiagbuilder do support method getCoordinateNoneSelected(location='').</font></b>
<b><font color=red size=14> Since Python provides no way to determine the exact target class, class Parent was chosen by default for building the sequence diagram.</font></b>
<b><font color=red size=14> To override this selection, put tag :seqdiag_select_method somewhere in the target method documentation or define every class of the hierarchy in its own file.</font></b>
<b><font color=red size=14> See help for more information.</font></b>
<b><font color=red size=20> 2</font></b>
<b><font color=red size=14> No control flow recorded.</font></b>
<b><font color=red size=14> Method activate() called with arguments projectPath=<{}>, entryClass=<ChildTwo>, entryMethod=<getCoordinateNoneSelected>, classArgDic=<None>: True.</font></b>
<b><font color=red size=14> Method recordFlow() called: True.</font></b>
<b><font color=red size=14> Specified entry point: ChildTwo.getCoordinateNoneSelected reached: False.</font></b>
endheader
actor USER
@enduml'''.format(parentdir), commands) # using format() instead og replace fails !
SeqDiagBuilder.deactivate()
def testRecordFlowWhereMulitpleClassesSupportInheritedMethodAndNoneIsSelected(self):
entryPoint = ClassA()
SeqDiagBuilder.activate(parentdir, 'ClassA', 'aMethod') # activate sequence diagram building
entryPoint.aMethod(1)
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
center header
<b><font color=red size=20> Warnings</font></b>
<b><font color=red size=14> More than one class ['Parent', 'ChildOne', 'ChildTwo', 'ChildThree', 'ChildOfChildTwo'] found in module testseqdiagbuilder do support method inheritedMethod(inhArg).</font></b>
<b><font color=red size=14> Since Python provides no way to determine the exact target class, class Parent was chosen by default for building the sequence diagram.</font></b>
<b><font color=red size=14> To override this selection, put tag :seqdiag_select_method somewhere in the target method documentation or define every class of the hierarchy in its own file.</font></b>
<b><font color=red size=14> See help for more information.</font></b>
endheader
actor USER
participant TestSeqDiagBuilder
participant ClassA
participant Parent
USER -> ClassA: aMethod(aMarg)
activate ClassA
ClassA -> Parent: inheritedMethod(inhArg)
activate Parent
ClassA <-- Parent: return inhMethResult
deactivate Parent
USER <-- ClassA: return ResultAmeth
deactivate ClassA
@enduml''', commands)
SeqDiagBuilder.deactivate()
def testCreateSeqDiagCommandsOnFullRequestHistoDayPrice(self):
'''
Generates a sequence diagram on a typical CryptoPricer request.
:return:
'''
if not 'CryptoPricer' in parentdir:
return
from datetimeutil import DateTimeUtil
from utilityfortest import UtilityForTest
from pricerequester import PriceRequester
from configurationmanager import ConfigurationManager
from gui.guioutputformatter import GuiOutputFormatter
from controller import Controller
SeqDiagBuilder.activate(parentdir, 'Controller', 'getPrintableResultForInput') # activate sequence diagram building
if os.name == 'posix':
FILE_PATH = '/sdcard/cryptopricer.ini'
else:
FILE_PATH = 'c:\\temp\\cryptopricer.ini'
configMgr = ConfigurationManager(FILE_PATH)
self.controller = Controller(GuiOutputFormatter(configMgr), configMgr, PriceRequester())
timezoneStr = 'Europe/Zurich'
now = DateTimeUtil.localNow(timezoneStr)
eightDaysBeforeArrowDate = now.shift(days=-8)
if eightDaysBeforeArrowDate.year < now.year:
print('{} skipped due to current date {}'.format('testControllerRTThenHistoMinuteThenRThenNewUnit()', now))
SeqDiagBuilder.deactivate()
return
eightDaysBeforeYearStr, eightDaysBeforeMonthStr, eightDaysBeforeDayStr, eightDaysBeforeHourStr, eightDaysBeforeMinuteStr = UtilityForTest.getFormattedDateTimeComponentsForArrowDateTimeObj(eightDaysBeforeArrowDate)
requestYearStr = eightDaysBeforeYearStr
requestDayStr = eightDaysBeforeDayStr
requestMonthStr = eightDaysBeforeMonthStr
inputStr = 'eth btc {}/{} all'.format(requestDayStr, requestMonthStr)
printResult, fullCommandStr, fullCommandStrWithOptions, fullCommandStrWithSaveModeOptions, fullCommandStrForStatusBar = self.controller.getPrintableResultForInput(
inputStr)
if DateTimeUtil.isDateOlderThan(eightDaysBeforeArrowDate, 7):
hourStr = '00'
minuteStr = '00'
priceType = 'C'
else:
hourStr = eightDaysBeforeHourStr
minuteStr = eightDaysBeforeMinuteStr
priceType = 'M'
self.assertEqual(
'ETH/BTC on AVG: ' + '{}/{}/{} {}:{}{}'.format(requestDayStr, requestMonthStr, requestYearStr, hourStr, minuteStr, priceType),
UtilityForTest.removeOneEndPriceFromResult(printResult))
self.assertEqual('eth btc {}/{}/{} {}:{} all'.format(requestDayStr, requestMonthStr, requestYearStr, hourStr, minuteStr), fullCommandStr)
self.assertEqual(None, fullCommandStrWithSaveModeOptions)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
commands = SeqDiagBuilder.createSeqDiaqCommands('GUI')
with open("c:\\temp\\sqCryptoPricerFullSig.txt","w") as f:
f.write(commands)
SeqDiagBuilder.deactivate()
self.assertEqual(
'''@startuml
actor GUI
participant Controller
/note over of Controller
Client in the GOF Command pattern. Entry point of the business layer. Instanciates the business layer classes.
end note
participant Requester
/note over of Requester
Parses the user requests, storing the request parms into the the appropriate Command.
end note
participant CommandPrice
/note over of CommandPrice
Command in the GOF Command pattern. Stores all the request parms parsed by the Requester. Stores aswell the currently active request parms which will
be used in case of partial request. Validates part of the request elements and computes the int request date/time components. Calls the receiver, i.e.
the Processor, passing to it the required request parms.
end note
participant Processor
/note over of Processor
Receiver in the GOF Command pattern. Validates and obtains real exchange name for crypto/unit and unit/fiat pairs. Determines if RT or historical
price must be asked to the PriceRequester. After getting the price, computes the fiat (-f) and value (-v) option values and add them to the returned
ResultData. In case a crypto/unit or a fiat/unit pair is not supported by the pair exchange, try to obtain a unit/crypto, respectively a unit/fiat
pair price.
end note
participant PriceRequester
/note over of PriceRequester
Obtains the RT or historical rates from the cryptocompare.com web site. For historical rates, determines if a minute or close rate is to be obtained.
end note
participant GuiOutputFormatter
/note over of GuiOutputFormatter
Formats the result data printed to the output zone of the application and to the status bar.
end note
GUI -> Controller: getPrintableResultForInput(inputStr)
activate Controller
Controller -> Requester: getCommand(inputStr)
activate Requester
Requester -> Requester: _parseAndFillCommandPrice(inputStr)
activate Requester
Requester -> Requester: _buildFullCommandPriceOrderFreeParmsDic(orderFreeParmList)
activate Requester
Requester <-- Requester: return optionalParsedParmDataDic
deactivate Requester
Requester <-- Requester: return CommandPrice or CommandError
deactivate Requester
Controller <-- Requester: return AbstractCommand
deactivate Requester
note right
May return a CommandError in case of parsing problem.
end note
Controller -> CommandPrice: execute()
activate CommandPrice
CommandPrice -> Processor: getCryptoPrice(crypto, unit, exchange, day, month, year, hour, minute, optionValueSymbol=None, ...)
activate Processor
Processor -> Processor: _getPrice(currency, targetCurrency, exchange, year, month, day, hour, minute, dateTimeFormat, localTz, ...)
activate Processor
Processor -> PriceRequester: getHistoricalPriceAtUTCTimeStamp(crypto, unit, timeStampLocalForHistoMinute, localTz, timeStampUTCNoHHMMForHistoDay, exchange)
activate PriceRequester
note right
Obtainins a minute price if request date < 7 days from now, else a day close price.
end note
PriceRequester -> PriceRequester: _getHistoDayPriceAtUTCTimeStamp(crypto, unit, timeStampUTC, exchange, resultData)
activate PriceRequester
PriceRequester <-- PriceRequester: return ResultData
deactivate PriceRequester
Processor <-- PriceRequester: return ResultData
deactivate PriceRequester
Processor <-- Processor: return ResultData
deactivate Processor
CommandPrice <-- Processor: return ResultData
deactivate Processor
Controller <-- CommandPrice: return ResultData or False
deactivate CommandPrice
Controller -> GuiOutputFormatter: getFullCommandString(resultData)
activate GuiOutputFormatter
GuiOutputFormatter -> GuiOutputFormatter: _buildFullDateAndTimeStrings(commandDic, timezoneStr)
activate GuiOutputFormatter
GuiOutputFormatter <-- GuiOutputFormatter: return requestDateDMY, requestDateHM
deactivate GuiOutputFormatter
Controller <-- GuiOutputFormatter: return printResult, fullCommandStrNoOptions, fullCommandStrWithNoSaveOptions, ...
deactivate GuiOutputFormatter
GUI <-- Controller: return printResult, fullCommandStrNoOptions, fullCommandStrWithNoSaveOptions, ...
deactivate Controller
@enduml''', commands)
def testCreateSeqDiagCommandsOnFullRequestHistoDayPriceWithSignatureLimitation(self):
'''
Generates a sequence diagram on a typical CryptoPricer request
with specifying a maximum size for the method signatures.
:return:
'''
if not 'CryptoPricer' in parentdir:
return
from datetimeutil import DateTimeUtil
from utilityfortest import UtilityForTest
from pricerequester import PriceRequester
from configurationmanager import ConfigurationManager
from gui.guioutputformatter import GuiOutputFormatter
from controller import Controller
SeqDiagBuilder.activate(parentdir, 'Controller', 'getPrintableResultForInput') # activate sequence diagram building
if os.name == 'posix':
FILE_PATH = '/sdcard/cryptopricer.ini'
else:
FILE_PATH = 'c:\\temp\\cryptopricer.ini'
configMgr = ConfigurationManager(FILE_PATH)
self.controller = Controller(GuiOutputFormatter(configMgr), configMgr, PriceRequester())
timezoneStr = 'Europe/Zurich'
now = DateTimeUtil.localNow(timezoneStr)
eightDaysBeforeArrowDate = now.shift(days=-8)
eightDaysBeforeYearStr, eightDaysBeforeMonthStr, eightDaysBeforeDayStr, eightDaysBeforeHourStr, eightDaysBeforeMinuteStr = UtilityForTest.getFormattedDateTimeComponentsForArrowDateTimeObj(
eightDaysBeforeArrowDate)
requestYearStr = eightDaysBeforeYearStr
requestDayStr = eightDaysBeforeDayStr
requestMonthStr = eightDaysBeforeMonthStr
inputStr = 'btc usd {}/{} all'.format(requestDayStr, requestMonthStr)
printResult, fullCommandStr, fullCommandStrWithOptions, fullCommandStrWithSaveModeOptions, fullCommandStrForStatusBar = self.controller.getPrintableResultForInput(
inputStr)
commands = SeqDiagBuilder.createSeqDiaqCommands(actorName='GUI', title='CryptoPricer sequence diagram', maxSigArgNum=None, maxSigCharLen=20, maxNoteCharLen=20)
plantUmlOutputDir = "c:\\temp\\"
plantUmlOutputFileName = 'sqCryptoPricerShortSig.txt'
plantUmlOutputFilePathName = plantUmlOutputDir + plantUmlOutputFileName
with open(plantUmlOutputFilePathName, "w") as f:
f.write(commands)
try:
self.assertEqual(
'''@startuml
title CryptoPricer sequence diagram
actor GUI
participant Controller
/note over of Controller
Client in the GOF Command
pattern. Entry point of the
business layer. Instanciates
the business layer classes.
end note
participant Requester
/note over of Requester
Parses the user requests,
storing the request parms into
the the appropriate Command.
end note
participant CommandPrice
/note over of CommandPrice
Command in the GOF Command
pattern. Stores all the
request parms parsed by the
Requester. Stores aswell the
currently active request parms
which will be used in case of
partial request. Validates
part of the request elements
and computes the int request
date/time components. Calls
the receiver, i.e. the
Processor, passing to it the
required request parms.
end note
participant Processor
/note over of Processor
Receiver in the GOF Command
pattern. Validates and obtains
real exchange name for
crypto/unit and unit/fiat
pairs. Determines if RT or
historical price must be asked
to the PriceRequester. After
getting the price, computes
the fiat (-f) and value (-v)
option values and add them to
the returned ResultData. In
case a crypto/unit or a
fiat/unit pair is not
supported by the pair
exchange, try to obtain a
unit/crypto, respectively a
unit/fiat pair price.
end note
participant PriceRequester
/note over of PriceRequester
Obtains the RT or historical
rates from the
cryptocompare.com web site.
For historical rates,
determines if a minute or
close rate is to be obtained.
end note
participant GuiOutputFormatter
/note over of GuiOutputFormatter
Formats the result data
printed to the output zone of
the application and to the
status bar.
end note
GUI -> Controller: getPrintableResultForInput(inputStr)
activate Controller
Controller -> Requester: getCommand(inputStr)
activate Requester
Requester -> Requester: _parseAndFillCommandPrice(inputStr)
activate Requester
Requester -> Requester: _buildFullCommandPriceOrderFreeParmsDic(orderFreeParmList)
activate Requester
Requester <-- Requester: return ...
deactivate Requester
Requester <-- Requester: return ...
deactivate Requester
Controller <-- Requester: return AbstractCommand
deactivate Requester
note right
May return a CommandError in
case of parsing problem.
end note
Controller -> CommandPrice: execute()
activate CommandPrice
CommandPrice -> Processor: getCryptoPrice(crypto, unit, ...)
activate Processor
Processor -> Processor: _getPrice(currency, ...)
activate Processor
Processor -> PriceRequester: getHistoricalPriceAtUTCTimeStamp(crypto, unit, ...)
activate PriceRequester
note right
Obtainins a minute price if
request date < 7 days from
now, else a day close price.
end note
PriceRequester -> PriceRequester: _getHistoDayPriceAtUTCTimeStamp(crypto, unit, ...)
activate PriceRequester
PriceRequester <-- PriceRequester: return ResultData
deactivate PriceRequester
Processor <-- PriceRequester: return ResultData
deactivate PriceRequester
Processor <-- Processor: return ResultData
deactivate Processor
CommandPrice <-- Processor: return ResultData
deactivate Processor
Controller <-- CommandPrice: return ResultData or False
deactivate CommandPrice
Controller -> GuiOutputFormatter: getFullCommandString(resultData)
activate GuiOutputFormatter
GuiOutputFormatter -> GuiOutputFormatter: _buildFullDateAndTimeStrings(commandDic, ...)
activate GuiOutputFormatter
GuiOutputFormatter <-- GuiOutputFormatter: return requestDateDMY, ...
deactivate GuiOutputFormatter
Controller <-- GuiOutputFormatter: return printResult, ...
deactivate GuiOutputFormatter
GUI <-- Controller: return printResult, ...
deactivate Controller
@enduml''' \
, commands)
except TypeError as e:
print(e)
pass
SeqDiagBuilder.deactivate()
print('In order to generate the sequence diagram image file, open a command window on {}\nand execute the command java -jar plantuml.jar -tsvg {}\n'.format(plantUmlOutputDir, plantUmlOutputFileName))
def testCreateSeqDiagCommandsOnClassesWithEmbededSelfCalls(self):
entryPoint = ClassA()
SeqDiagBuilder.activate(parentdir,'ClassA', 'doWork') # activate sequence diagram building
entryPoint.doWork()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt","w") as f:
f.write(commands)
self.assertEqual(
'''@startuml
actor USER
participant TestSeqDiagBuilder
participant ClassA
participant ClassB
USER -> ClassA: doWork()
activate ClassA
ClassA -> ClassA: internalCall()
activate ClassA
ClassA -> ClassA: internalInnerCall()
activate ClassA
ClassA -> ClassB: createInnerRequest(parm1)
activate ClassB
ClassA <-- ClassB: return Bool
deactivate ClassB
ClassA <-- ClassA: return ResultPrice
deactivate ClassA
ClassA -> ClassB: createRequest(parm1, parm2)
activate ClassB
ClassA <-- ClassB: return Bool
deactivate ClassB
ClassA <-- ClassA: return ResultPrice
deactivate ClassA
USER <-- ClassA: return ClassAdoWorkRes
deactivate ClassA
@enduml''', commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsWithoutActivatingSeqDiagBuilder(self):
entryPoint = ClassA()
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
entryPoint.doWork()
SeqDiagBuilder.createSeqDiaqCommands('USER')
warningList = SeqDiagBuilder.getWarningList()
self.assertEqual(len(warningList), 1)
self.assertEqual('No control flow recorded.\nMethod activate() called: False.\nMethod recordFlow() called: True.\nSpecified entry point: None.None reached: False.', warningList[0])
def testCreateSeqDiagCommandsOnClassLocatedInPackage(self):
entryPoint = IsolatedClass()
SeqDiagBuilder.activate(parentdir, 'IsolatedClass', 'analyse') # activate sequence diagram building
entryPoint.analyse()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
self.assertEqual(
'''@startuml
actor USER
participant IsolatedClass
USER -> IsolatedClass: analyse()
activate IsolatedClass
USER <-- IsolatedClass: return Analysis
deactivate IsolatedClass
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCreateSeqDiagCommandsOnClassLocatedInSubPackage(self):
entryPoint = IsolatedClassSub()
SeqDiagBuilder.activate(parentdir, 'IsolatedClassSub', 'analyse') # activate sequence diagram building
entryPoint.analyse()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
self.assertEqual(
'''@startuml
actor USER
participant IsolatedClassSub
USER -> IsolatedClassSub: analyse()
activate IsolatedClassSub
USER <-- IsolatedClassSub: return Analysis
deactivate IsolatedClassSub
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCallingMethodOnClassRequiringNonNoneConstructorParmWithoutPassingClassArgsDic(self):
entryPoint = Caller()
SeqDiagBuilder.activate(parentdir, 'Caller', 'call') # activate sequence diagram building
entryPoint.call()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 1)
self.assertEqual(
'''@startuml
center header
<b><font color=red size=20> Warnings</font></b>
<b><font color=red size=14> ERROR - constructor for class FileReader in module testclasses.subtestpackage.filereader failed due to invalid argument(s).</font></b>
<b><font color=red size=14> To solve the problem, pass a class argument dictionary with an entry for FileReader to the SeqDiagBuilder.activate() method.</font></b>
endheader
actor USER
participant Caller
USER -> Caller: call()
activate Caller
USER <-- Caller:
deactivate Caller
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCallingMethodOnClassRequiringNonNoneConstructotParmWithPassingClassArgsDic(self):
entryPoint = Caller()
classArgDic = {'FileReader': ['testfile.txt']}
SeqDiagBuilder.activate(parentdir, 'Caller', 'call', classArgDic) # activate sequence diagram building
entryPoint.call()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
self.assertEqual(
'''@startuml
actor USER
participant Caller
participant FileReader
USER -> Caller: call()
activate Caller
Caller -> FileReader: getContentAsList()
activate FileReader
Caller <-- FileReader:
deactivate FileReader
USER <-- Caller:
deactivate Caller
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCallingMethodOnClassRequiringNonNoneConstructotParmWithPassingClassArgsDicWithTwoEntries(self):
'''
Test case where the flow requires to instanciate the same class (FileReader) twice with
different values passed to the ctor at each instanciation.
'''
entryPoint = Caller()
classArgDic = {'FileReader_1': ['testfile.txt'], 'FileReader_2': ['testfile2.txt']}
SeqDiagBuilder.activate(parentdir, 'Caller', 'callUsingTwoFileReaders',
classArgDic) # activate sequence diagram building
entryPoint.callUsingTwoFileReaders()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
self.assertEqual(
'''@startuml
actor USER
participant Caller
participant FileReader
USER -> Caller: callUsingTwoFileReaders()
activate Caller
Caller -> FileReader: getContentAsList()
activate FileReader
Caller <-- FileReader:
deactivate FileReader
Caller -> FileReader: getContentAsList()
activate FileReader
Caller <-- FileReader:
deactivate FileReader
USER <-- Caller:
deactivate Caller
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCallingMethodOnClassRequiringNonNoneConstructotParmWithPassingClassArgsDicWithOneEntry(self):
'''
Test case where the flow requires to instanciate the same class (FileReader) twice with
the same value passed to the ctor at each instanciation.
'''
entryPoint = Caller()
classArgDic = {'FileReader': ['testfile.txt']}
SeqDiagBuilder.activate(parentdir, 'Caller', 'callUsingTwoFileReaders',
classArgDic) # activate sequence diagram building
entryPoint.callUsingTwoFileReaders()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
self.assertEqual(
'''@startuml
actor USER
participant Caller
participant FileReader
USER -> Caller: callUsingTwoFileReaders()
activate Caller
Caller -> FileReader: getContentAsList()
activate FileReader
Caller <-- FileReader:
deactivate FileReader
Caller -> FileReader: getContentAsList()
activate FileReader
Caller <-- FileReader:
deactivate FileReader
USER <-- Caller:
deactivate Caller
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCallingMethodOnClassRequiringNonNoneConstructotParmWithPassingClassArgsDicWithOneEntryOneBooleanArg(self):
'''
Test case where the flow requires to instanciate a class (FileReaderSupportingVerboseMode) whose ctor
requires a string and a boolean value. To handle this situation, a class ctor arg dictionary
must be passed to the SeqDiagBuilder.activate() method.
'''
entryPoint = Caller()
classArgDic = {'FileReaderSupportingVerboseMode': ['testfile.txt', False]}
SeqDiagBuilder.activate(parentdir, 'Caller', 'callUsingVerboseFileReader',
classArgDic) # activate sequence diagram building
entryPoint.callUsingVerboseFileReader()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
self.assertEqual(
'''@startuml
actor USER
participant Caller
participant FileReaderSupportingVerboseMode
USER -> Caller: callUsingVerboseFileReader()
activate Caller
Caller -> FileReaderSupportingVerboseMode: getContentAsList()
activate FileReaderSupportingVerboseMode
Caller <-- FileReaderSupportingVerboseMode:
deactivate FileReaderSupportingVerboseMode
USER <-- Caller:
deactivate Caller
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCallingMethodOnClassRequiringNonNoneConstructorParmWithPassingClassArgsDicWithOneEntryOneBooleanArgCallSuperClassMethod(self):
'''
Test case where the flow requires to instanciate a class (FileReaderSupportingVerboseMode) whose ctor
requires a string and a boolean value. To handle this situation, a class ctor arg dictionary
must be passed to the SeqDiagBuilder.activate() method. But here, since the method
FileReaderSupportingVerboseMode.getContentAsListFromSuper() calls a method of its parent
class, the class ctor arg dictionary must also contain an entry for the parent class (FileReader)
since its ctor __init__ method also requires an argument (a file name) !
'''
entryPoint = Caller()
# this is the argument dictionary which should be defined for successful sequence
# diagram generation:
#classArgDic = {'FileReaderSupportingVerboseMode': ['testfile.txt', False],
# 'FileReader': ['testfile.txt']}
# but we forget to add an entry for the FileReader base class ctor in order
# to ensure a correct warning will be added to the generated sequence diagram
classArgDic = {'FileReaderSupportingVerboseMode': ['testfile.txt', False]}
SeqDiagBuilder.activate(parentdir, 'Caller', 'callUsingVerboseFileReaderWithCallToSuper',
classArgDic) # activate sequence diagram building
entryPoint.callUsingVerboseFileReaderWithCallToSuper()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 1)
self.assertEqual(
'''@startuml
center header
<b><font color=red size=20> Warnings</font></b>
<b><font color=red size=14> ERROR - constructor for class FileReader in module testclasses.subtestpackage.filereader failed due to invalid argument(s).</font></b>
<b><font color=red size=14> To solve the problem, pass a class argument dictionary with an entry for FileReader to the SeqDiagBuilder.activate() method.</font></b>
endheader
actor USER
participant Caller
participant FileReaderSupportingVerboseMode
USER -> Caller: callUsingVerboseFileReaderWithCallToSuper()
activate Caller
Caller -> FileReaderSupportingVerboseMode: getContentAsListFromSuper()
activate FileReaderSupportingVerboseMode
Caller <-- FileReaderSupportingVerboseMode:
deactivate FileReaderSupportingVerboseMode
USER <-- Caller:
deactivate Caller
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCallingMethodOnClassRequiringNonNoneConstructotParmWithPassingClassArgsDicWithOneEntryOneBooleanArgCallSuperClassMethodEntryAddedForParentClass(
self):
'''
Test case where the flow requires to instanciate a class (FileReaderSupportingVerboseMode) whose ctor
requires a string and a boolean value. To handle this situation, a class ctor arg dictionary
must be passed to the SeqDiagBuilder.activate() method. But here, since the method
FileReaderSupportingVerboseMode.getContentAsListFromSuper() calls a method of its parent
class, the class ctor arg dictionary must also contain an entry for the parent class since
its ctor __init__ method also requires arguments. In this tst case, this requirement has
been satisfied !
'''
entryPoint = Caller()
classArgDic = {'FileReaderSupportingVerboseMode': ['testfile.txt', False], 'FileReader': ['testfile.txt']}
SeqDiagBuilder.activate(parentdir, 'Caller', 'callUsingVerboseFileReaderWithCallToSuper',
classArgDic) # activate sequence diagram building
entryPoint.callUsingVerboseFileReaderWithCallToSuper()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 0)
self.assertEqual(
'''@startuml
actor USER
participant Caller
participant FileReaderSupportingVerboseMode
participant FileReader
USER -> Caller: callUsingVerboseFileReaderWithCallToSuper()
activate Caller
Caller -> FileReaderSupportingVerboseMode: getContentAsListFromSuper()
activate FileReaderSupportingVerboseMode
FileReaderSupportingVerboseMode -> FileReader: getContentAsList()
activate FileReader
FileReaderSupportingVerboseMode <-- FileReader:
deactivate FileReader
Caller <-- FileReaderSupportingVerboseMode:
deactivate FileReaderSupportingVerboseMode
USER <-- Caller:
deactivate Caller
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCallingMethodOnClassRequiringNonNoneConstructotParmWithPassingClassArgsDicWithTwoEntriesSpecifyingWrongMethodName(self):
'''
Test case where the flow requires to instanciate the same class (FileReader) twice with
different values passed to the ctor at each instanciation. But here, we do not specify
the right method for the SeqDiagBuilder.activate() method: 'callUsingTwoFileReaders'
should be specified, not 'call' !
:return:
'''
entryPoint = Caller()
classArgDic = {'FileReader_1': ['testfile.txt'], 'FileReader_2': ['testfile2.txt']}
SeqDiagBuilder.activate(parentdir, 'Caller', 'call',
classArgDic) # activate sequence diagram building
entryPoint.callUsingTwoFileReaders()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 1)
self.assertEqual(
"""@startuml
center header
<b><font color=red size=20> Warnings</font></b>
<b><font color=red size=14> No control flow recorded.</font></b>
<b><font color=red size=14> Method activate() called with arguments projectPath=<{}>, entryClass=<Caller>, entryMethod=<call>, classArgDic=<{{'FileReader_1': ['testfile.txt'], 'FileReader_2': ['testfile2.txt']}}>: True.</font></b>
<b><font color=red size=14> Method recordFlow() called: True.</font></b>
<b><font color=red size=14> Specified entry point: Caller.call reached: False.</font></b>
endheader
actor USER
@enduml""".format(parentdir), commands) # using format() instead og replace fails !
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
def testCallingMethodOnClassRequiringNonNoneConstructotParmWithPassingInvalidClassArgsDic(self):
entryPoint = Caller()
classArgDic = {'FileReader': ['testfile.txt', 'inval arg']}
SeqDiagBuilder.activate(parentdir, 'Caller', 'call', classArgDic) # activate sequence diagram building
entryPoint.call()
commands = SeqDiagBuilder.createSeqDiaqCommands('USER')
with open("c:\\temp\\ess.txt", "w") as f:
f.write(commands)
self.assertEqual(len(SeqDiagBuilder.getWarningList()), 1)
self.assertEqual(
'''@startuml
center header
<b><font color=red size=20> Warnings</font></b>
<b><font color=red size=14> ERROR - constructor for class FileReader in module testclasses.subtestpackage.filereader failed due to invalid argument(s) (['testfile.txt', 'inval arg']) defined in the class argument dictionary passed to the SeqDiagBuilder.activate() method.</font></b>
endheader
actor USER
participant Caller
USER -> Caller: call()
activate Caller
USER <-- Caller:
deactivate Caller
@enduml''', commands)
SeqDiagBuilder.deactivate() # deactivate sequence diagram building
if __name__ == '__main__':
unittest.main()
|
[
"jp.schnyder@gmail.com"
] |
jp.schnyder@gmail.com
|
8fa26a7fc731cf1959afc22db8fe82bb1fe9ed7b
|
f37a5d7d252e014a0664cccac5a567fd94ba76eb
|
/api/src/entities/recommendation.py
|
cd1800336b7ed64a62b3ddb3117dc82300bd47b5
|
[] |
no_license
|
GabrielVanLoon/Projeto_Teach.me
|
3e795b04815716d9644bc06145e3d3c9caf8032f
|
43188ebb27142904b1b2c8a620898971733ce298
|
refs/heads/master
| 2022-12-25T19:00:09.536937
| 2020-10-03T21:50:26
| 2020-10-03T21:50:26
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 328
|
py
|
class Recommendation:
def __init__(self, student=None, instructor=None, text=None):
self.student = student
self.instructor = instructor
self.text = text
def __iter__(self):
yield 'student', self.student
yield 'instructor', self.instructor
yield 'text', self.text
|
[
"gabriel.vl.rojas@gmail.com"
] |
gabriel.vl.rojas@gmail.com
|
56dce1c7a2e622474cab828faaa1e75698d9e760
|
4ac11b3ac16e8ede6075b7da7008b6c63aab2788
|
/app.py
|
bc0e5c2f2298f73a2bca6dddd8593aeb75e34064
|
[
"MIT"
] |
permissive
|
DrFirestream/Tabaqui
|
59faa185db7fc030dcb9e8278441e3a9bf9413af
|
dad4fe2b3dcf01195bac330de509663ea2bd6e54
|
refs/heads/master
| 2022-12-24T15:20:27.472475
| 2020-09-19T21:22:22
| 2020-09-19T21:22:22
| 296,133,707
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 4,254
|
py
|
import flask
import boto3
import botocore
import json
import datetime
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.sql.functions import func
import sys
import os
import random
MAX_REQUESTS_TO_AWS = 20
MAX_PROMPT_LENGTH = 200
class Config(object):
DEBUG = False
TESTING = False
CSRF_ENABLED = True
SECRET_KEY = os.environ['DB_SECRET_KEY']
SQLALCHEMY_DATABASE_URI = os.environ['DATABASE_URL']
app = flask.Flask(__name__, template_folder='templates')
aws_key = os.environ['AWS_ACCESS_KEY_ID']
aws_secret_key = os.environ['AWS_SECRET_ACCESS_KEY']
app.config.from_object('app.Config')
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
db = SQLAlchemy(app)
names = ['Саша', 'Игорек', 'Люда', 'Илья', 'Миша', 'Дима', 'Вова', 'Миклуха', 'Артем'];
from models import Journal
def get_count(q):
count_q = q.statement.with_only_columns([func.count()]).order_by(None)
count = q.session.execute(count_q).scalar()
return count
@app.route('/', methods=['GET', 'POST'])
def main():
if flask.request.method == 'GET':
return flask.render_template('main.html')
try:
prompt = flask.request.form['message'][-MAX_PROMPT_LENGTH:]
#cfg = botocore.config.Config(retries={'max_attempts': 0}, read_timeout=360, connect_timeout=360, region_name="eu-central-1" )
if flask.request.form['requestid']:
submitted = flask.request.form['submitted']
requestid = flask.request.form['requestid']
sqs = boto3.resource('sqs', region_name='eu-central-1', aws_access_key_id=aws_key, aws_secret_access_key=aws_secret_key)
queue = sqs.get_queue_by_name(QueueName = 'TabaquiQueue')
for message in queue.receive_messages(MessageAttributeNames=['RequestId']):
if message.message_attributes is not None:
mrequestid = message.message_attributes.get('RequestId').get('StringValue')
print(mrequestid + " " + requestid)
if mrequestid == requestid:
res = message.body
message.delete()
return flask.render_template('main.html', result = submitted + message.body)
return flask.render_template('main.html', result = prompt + '... ', submitted = submitted, requestid = requestid)
db.session.query(Journal).filter(func.date(Journal.request) <= datetime.date.today() - datetime.timedelta(days=1)).delete(synchronize_session='fetch')
db.session.commit()
q = db.session.query(Journal.id)#.filter(...).order_by(...)
if get_count(q) > MAX_REQUESTS_TO_AWS:
return flask.render_template('main.html', result = 'Please try tomorrow')
journal = Journal()
db.session.add(journal)
db.session.commit()
db.session.refresh(journal)
requestid = str(journal.id)
print('Request id: ' + requestid)
#boto3.setup_default_session(region_name='us-east-1')
client = boto3.client('lambda', region_name='eu-central-1', aws_access_key_id=aws_key, aws_secret_access_key=aws_secret_key) #config = cfg
prompt = ''.join([(s.strip() if s.find(':') > 0 and s.find('"') > 0 else
names[random.randrange(0, len(names))] + ': "' + s.strip() + ' "') + '\n'
for s in prompt.split('\n') if s.strip()])
if prompt.endswith(': "\n'):
prompt = prompt[:-1]
else:
prompt = prompt + names[random.randrange(0, len(names))] + ': "'
payload={"RequestId": requestid, "Prompt": prompt, "Temperature": 0.9}#, "NQuotes": 1}
response = client.invoke(FunctionName = 'tabaqui_response', InvocationType = 'Event', LogType = 'Tail', Payload = json.dumps(payload))
#dictj = json.loads(response['Payload'].read().decode())
return flask.render_template('main.html', result = prompt + "\n" + str(response['StatusCode']) + "\nHave to wait for request " + requestid, submitted = prompt, requestid = requestid)
except:
return flask.render_template('main.html', result = str(sys.exc_info()))#[0]
if __name__ == '__main__':
app.run()#(host='0.0.0.0', port = os.environ['PORT'])
|
[
"dr.firestream@gmail.com"
] |
dr.firestream@gmail.com
|
a381417460e3b250868a66c482b42631651416ad
|
52e5cd27efb30cd3466e3937fe57ce560f5d56b6
|
/5/5-6/main.py
|
e76c228d88609be9d06a8a0debd4d00027f75c5d
|
[] |
no_license
|
justice3120/opencv_sample
|
25afc2b0877775793f2ae91199f7a642491f28d6
|
7720bd6331758a66d91e46c62cd2114cf194a9f8
|
refs/heads/master
| 2021-01-18T19:30:26.145170
| 2016-11-24T04:16:04
| 2016-11-24T04:16:04
| 72,085,288
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 2,791
|
py
|
from PIL import Image
import sys
from graph import build_graph, segment_graph
from smooth_filter import gaussian_grid, filter_image
from random import random
from numpy import sqrt
import numpy as np
import cv2
def diff_rgb(img, x1, y1, x2, y2):
r = (img[0][x1, y1] - img[0][x2, y2]) ** 2
g = (img[1][x1, y1] - img[1][x2, y2]) ** 2
b = (img[2][x1, y1] - img[2][x2, y2]) ** 2
return sqrt(r + g + b)
def diff_grey(img, x1, y1, x2, y2):
v = (img[x1, y1] - img[x2, y2]) ** 2
return sqrt(v)
def threshold(size, const):
return (const / size)
def generate_image(forest, width, height):
random_color = lambda: (int(random()*255), int(random()*255), int(random()*255))
colors = [random_color() for i in xrange(width*height)]
img = Image.new('RGB', (width, height))
im = img.load()
for y in xrange(height):
for x in xrange(width):
comp = forest.find(y * width + x)
im[x, y] = colors[comp]
return img.transpose(Image.ROTATE_270).transpose(Image.FLIP_LEFT_RIGHT)
if __name__ == '__main__':
if len(sys.argv) != 6:
print 'Invalid number of arguments passed.'
print 'Correct usage: python main.py sigma neighborhood K min_comp_size input_file'
else:
neighbor = int(sys.argv[2])
if neighbor != 4 and neighbor!= 8:
print 'Invalid neighborhood choosed. The acceptable values are 4 or 8.'
print 'Segmenting with 4-neighborhood...'
tmp_img = cv2.imread(sys.argv[5])
h, w = tmp_img.shape[:2]
tmp_img = cv2.resize(tmp_img, (int(w / 4), int(h / 4)))
image_file = Image.fromarray(tmp_img, "RGB")
sigma = float(sys.argv[1])
K = float(sys.argv[3])
min_size = int(sys.argv[4])
size = image_file.size
print 'Image info: ', image_file.format, size, image_file.mode
grid = gaussian_grid(sigma)
if image_file.mode == 'RGB':
image_file.load()
r, g, b = image_file.split()
r = filter_image(r, grid)
g = filter_image(g, grid)
b = filter_image(b, grid)
smooth = (r, g, b)
diff = diff_rgb
else:
smooth = filter_image(image_file, grid)
diff = diff_grey
graph = build_graph(smooth, size[1], size[0], diff, neighbor == 8)
forest = segment_graph(graph, size[0]*size[1], K, min_size, threshold)
image = generate_image(forest, size[1], size[0])
print 'Number of components: %d' % forest.num_sets
cv2.namedWindow('Result')
cv2.imshow('Result', np.array(image))
cv2.namedWindow('Canny')
cv2.imshow('Canny', cv2.Canny(np.array(image), 100, 10))
cv2.waitKey(0)
cv2.destroyAllWindows()
|
[
"masayoshi.sakamoto@dena.com"
] |
masayoshi.sakamoto@dena.com
|
0d9dec6db8744147c3f50fe1865d02563d2fcd29
|
9db53eb9e79f120084461b1ddf4d8df1d16277f4
|
/lab1.py
|
112d1659cb0fd6c62d79c3d9548925f0cb2458ae
|
[] |
no_license
|
petersterling1/cmput404lab1
|
c8c409ca3f98c7aecaba4e0d734f5234f7a35f62
|
54ba07aed422c3a551e76188f500697ee151bde4
|
refs/heads/master
| 2020-12-07T19:27:53.045658
| 2016-09-07T21:16:09
| 2016-09-07T21:16:09
| 67,643,210
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 130
|
py
|
import requests
response = requests.get('https://github.com/petersterling1/cmput404lab1/raw/master/lab1.py')
print response.text
|
[
"psterlin@ualberta.ca"
] |
psterlin@ualberta.ca
|
2f61e1a2a9ae30f8aa6baa190d2c72e14392c2d1
|
99958f3786f4ec372f4f5f5752ed5040dbda4ac3
|
/GAE_install/RPG/werkzeug/testsuite/wrappers.py
|
6c1d39d1092ce583d371594f8b2f70e2339558ff
|
[] |
no_license
|
armadillu/LocalProjectsRPG
|
01f03eadcfd2f8c7e6bfdc20e149047d3c7f24a4
|
4b974d9de06f85b7d4f807e44c7f836d0b195220
|
refs/heads/master
| 2021-01-22T12:02:10.023666
| 2013-05-24T20:48:03
| 2013-05-24T20:48:03
| null | 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 27,912
|
py
|
# -*- coding: utf-8 -*-
"""
werkzeug.testsuite.wrappers
~~~~~~~~~~~~~~~~~~~~~~~~~~~
Tests for the response and request objects.
:copyright: (c) 2011 by Armin Ronacher.
:license: BSD, see LICENSE for more details.
"""
import unittest
import pickle
from StringIO import StringIO
from datetime import datetime
from werkzeug.testsuite import WerkzeugTestCase
from werkzeug import wrappers
from werkzeug.exceptions import SecurityError
from werkzeug.datastructures import MultiDict, ImmutableOrderedMultiDict, \
ImmutableList, ImmutableTypeConversionDict, CharsetAccept, \
CombinedMultiDict
from werkzeug.test import Client, create_environ, run_wsgi_app
class RequestTestResponse(wrappers.BaseResponse):
"""Subclass of the normal response class we use to test response
and base classes. Has some methods to test if things in the
response match.
"""
def __init__(self, response, status, headers):
wrappers.BaseResponse.__init__(self, response, status, headers)
self.body_data = pickle.loads(self.data)
def __getitem__(self, key):
return self.body_data[key]
def request_demo_app(environ, start_response):
request = wrappers.BaseRequest(environ)
assert 'werkzeug.request' in environ
start_response('200 OK', [('Content-Type', 'text/plain')])
return [pickle.dumps({
'args': request.args,
'args_as_list': request.args.lists(),
'form': request.form,
'form_as_list': request.form.lists(),
'environ': prepare_environ_pickle(request.environ),
'data': request.data
})]
def prepare_environ_pickle(environ):
result = {}
for key, value in environ.iteritems():
try:
pickle.dumps((key, value))
except Exception:
continue
result[key] = value
return result
class WrappersTestCase(WerkzeugTestCase):
def assert_environ(self, environ, method):
assert environ['REQUEST_METHOD'] == method
assert environ['PATH_INFO'] == '/'
assert environ['SCRIPT_NAME'] == ''
assert environ['SERVER_NAME'] == 'localhost'
assert environ['wsgi.version'] == (1, 0)
assert environ['wsgi.url_scheme'] == 'http'
def test_base_request(self):
client = Client(request_demo_app, RequestTestResponse)
# get requests
response = client.get('/?foo=bar&foo=hehe')
assert response['args'] == MultiDict([('foo', 'bar'), ('foo', 'hehe')])
assert response['args_as_list'] == [('foo', ['bar', 'hehe'])]
assert response['form'] == MultiDict()
assert response['form_as_list'] == []
assert response['data'] == ''
self.assert_environ(response['environ'], 'GET')
# post requests with form data
response = client.post('/?blub=blah', data='foo=blub+hehe&blah=42',
content_type='application/x-www-form-urlencoded')
assert response['args'] == MultiDict([('blub', 'blah')])
assert response['args_as_list'] == [('blub', ['blah'])]
assert response['form'] == MultiDict([('foo', 'blub hehe'), ('blah', '42')])
assert response['data'] == ''
# currently we do not guarantee that the values are ordered correctly
# for post data.
## assert response['form_as_list'] == [('foo', ['blub hehe']), ('blah', ['42'])]
self.assert_environ(response['environ'], 'POST')
# patch requests with form data
response = client.patch('/?blub=blah', data='foo=blub+hehe&blah=42',
content_type='application/x-www-form-urlencoded')
assert response['args'] == MultiDict([('blub', 'blah')])
assert response['args_as_list'] == [('blub', ['blah'])]
assert response['form'] == MultiDict([('foo', 'blub hehe'), ('blah', '42')])
assert response['data'] == ''
self.assert_environ(response['environ'], 'PATCH')
# post requests with json data
json = '{"foo": "bar", "blub": "blah"}'
response = client.post('/?a=b', data=json, content_type='application/json')
assert response['data'] == json
assert response['args'] == MultiDict([('a', 'b')])
assert response['form'] == MultiDict()
def test_access_route(self):
req = wrappers.Request.from_values(headers={
'X-Forwarded-For': '192.168.1.2, 192.168.1.1'
})
req.environ['REMOTE_ADDR'] = '192.168.1.3'
assert req.access_route == ['192.168.1.2', '192.168.1.1']
assert req.remote_addr == '192.168.1.3'
req = wrappers.Request.from_values()
req.environ['REMOTE_ADDR'] = '192.168.1.3'
assert req.access_route == ['192.168.1.3']
def test_url_request_descriptors(self):
req = wrappers.Request.from_values('/bar?foo=baz', 'http://example.com/test')
assert req.path == u'/bar'
assert req.full_path == u'/bar?foo=baz'
assert req.script_root == u'/test'
assert req.url == 'http://example.com/test/bar?foo=baz'
assert req.base_url == 'http://example.com/test/bar'
assert req.url_root == 'http://example.com/test/'
assert req.host_url == 'http://example.com/'
assert req.host == 'example.com'
assert req.scheme == 'http'
req = wrappers.Request.from_values('/bar?foo=baz', 'https://example.com/test')
assert req.scheme == 'https'
def test_url_request_descriptors_hosts(self):
req = wrappers.Request.from_values('/bar?foo=baz', 'http://example.com/test')
req.trusted_hosts = ['example.com']
assert req.path == u'/bar'
assert req.full_path == u'/bar?foo=baz'
assert req.script_root == u'/test'
assert req.url == 'http://example.com/test/bar?foo=baz'
assert req.base_url == 'http://example.com/test/bar'
assert req.url_root == 'http://example.com/test/'
assert req.host_url == 'http://example.com/'
assert req.host == 'example.com'
assert req.scheme == 'http'
req = wrappers.Request.from_values('/bar?foo=baz', 'https://example.com/test')
assert req.scheme == 'https'
req = wrappers.Request.from_values('/bar?foo=baz', 'http://example.com/test')
req.trusted_hosts = ['example.org']
self.assert_raises(SecurityError, lambda: req.url)
self.assert_raises(SecurityError, lambda: req.base_url)
self.assert_raises(SecurityError, lambda: req.url_root)
self.assert_raises(SecurityError, lambda: req.host_url)
self.assert_raises(SecurityError, lambda: req.host)
def test_authorization_mixin(self):
request = wrappers.Request.from_values(headers={
'Authorization': 'Basic QWxhZGRpbjpvcGVuIHNlc2FtZQ=='
})
a = request.authorization
assert a.type == 'basic'
assert a.username == 'Aladdin'
assert a.password == 'open sesame'
def test_base_response(self):
# unicode
response = wrappers.BaseResponse(u'öäü')
assert response.data == 'öäü'
# writing
response = wrappers.Response('foo')
response.stream.write('bar')
assert response.data == 'foobar'
# set cookie
response = wrappers.BaseResponse()
response.set_cookie('foo', 'bar', 60, 0, '/blub', 'example.org', False)
assert response.headers.to_list() == [
('Content-Type', 'text/plain; charset=utf-8'),
('Set-Cookie', 'foo=bar; Domain=example.org; expires=Thu, '
'01-Jan-1970 00:00:00 GMT; Max-Age=60; Path=/blub')
]
# delete cookie
response = wrappers.BaseResponse()
response.delete_cookie('foo')
assert response.headers.to_list() == [
('Content-Type', 'text/plain; charset=utf-8'),
('Set-Cookie', 'foo=; expires=Thu, 01-Jan-1970 00:00:00 GMT; Max-Age=0; Path=/')
]
# close call forwarding
closed = []
class Iterable(object):
def next(self):
raise StopIteration()
def __iter__(self):
return self
def close(self):
closed.append(True)
response = wrappers.BaseResponse(Iterable())
response.call_on_close(lambda: closed.append(True))
app_iter, status, headers = run_wsgi_app(response,
create_environ(),
buffered=True)
assert status == '200 OK'
assert ''.join(app_iter) == ''
assert len(closed) == 2
def test_response_status_codes(self):
response = wrappers.BaseResponse()
response.status_code = 404
assert response.status == '404 NOT FOUND'
response.status = '200 OK'
assert response.status_code == 200
response.status = '999 WTF'
assert response.status_code == 999
response.status_code = 588
assert response.status_code == 588
assert response.status == '588 UNKNOWN'
response.status = 'wtf'
assert response.status_code == 0
def test_type_forcing(self):
def wsgi_application(environ, start_response):
start_response('200 OK', [('Content-Type', 'text/html')])
return ['Hello World!']
base_response = wrappers.BaseResponse('Hello World!', content_type='text/html')
class SpecialResponse(wrappers.Response):
def foo(self):
return 42
# good enough for this simple application, but don't ever use that in
# real world examples!
fake_env = {}
for orig_resp in wsgi_application, base_response:
response = SpecialResponse.force_type(orig_resp, fake_env)
assert response.__class__ is SpecialResponse
assert response.foo() == 42
assert response.data == 'Hello World!'
assert response.content_type == 'text/html'
# without env, no arbitrary conversion
self.assert_raises(TypeError, SpecialResponse.force_type, wsgi_application)
def test_accept_mixin(self):
request = wrappers.Request({
'HTTP_ACCEPT': 'text/xml,application/xml,application/xhtml+xml,'
'text/html;q=0.9,text/plain;q=0.8,image/png,*/*;q=0.5',
'HTTP_ACCEPT_CHARSET': 'ISO-8859-1,utf-8;q=0.7,*;q=0.7',
'HTTP_ACCEPT_ENCODING': 'gzip,deflate',
'HTTP_ACCEPT_LANGUAGE': 'en-us,en;q=0.5'
})
assert request.accept_mimetypes == CharsetAccept([
('text/xml', 1), ('image/png', 1), ('application/xml', 1),
('application/xhtml+xml', 1), ('text/html', 0.9),
('text/plain', 0.8), ('*/*', 0.5)
])
assert request.accept_charsets == CharsetAccept([
('ISO-8859-1', 1), ('utf-8', 0.7), ('*', 0.7)
])
assert request.accept_encodings == CharsetAccept([('gzip', 1), ('deflate', 1)])
assert request.accept_languages == CharsetAccept([('en-us', 1), ('en', 0.5)])
request = wrappers.Request({'HTTP_ACCEPT': ''})
assert request.accept_mimetypes == CharsetAccept()
def test_etag_request_mixin(self):
request = wrappers.Request({
'HTTP_CACHE_CONTROL': 'no-store, no-cache',
'HTTP_IF_MATCH': 'w/"foo", bar, "baz"',
'HTTP_IF_NONE_MATCH': 'w/"foo", bar, "baz"',
'HTTP_IF_MODIFIED_SINCE': 'Tue, 22 Jan 2008 11:18:44 GMT',
'HTTP_IF_UNMODIFIED_SINCE': 'Tue, 22 Jan 2008 11:18:44 GMT'
})
assert request.cache_control.no_store
assert request.cache_control.no_cache
for etags in request.if_match, request.if_none_match:
assert etags('bar')
assert etags.contains_raw('w/"foo"')
assert etags.contains_weak('foo')
assert not etags.contains('foo')
assert request.if_modified_since == datetime(2008, 1, 22, 11, 18, 44)
assert request.if_unmodified_since == datetime(2008, 1, 22, 11, 18, 44)
def test_user_agent_mixin(self):
user_agents = [
('Mozilla/5.0 (Macintosh; U; Intel Mac OS X; en-US; rv:1.8.1.11) '
'Gecko/20071127 Firefox/2.0.0.11', 'firefox', 'macos', '2.0.0.11',
'en-US'),
('Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; de-DE) Opera 8.54',
'opera', 'windows', '8.54', 'de-DE'),
('Mozilla/5.0 (iPhone; U; CPU like Mac OS X; en) AppleWebKit/420 '
'(KHTML, like Gecko) Version/3.0 Mobile/1A543a Safari/419.3',
'safari', 'iphone', '419.3', 'en'),
('Bot Googlebot/2.1 ( http://www.googlebot.com/bot.html)',
'google', None, '2.1', None)
]
for ua, browser, platform, version, lang in user_agents:
request = wrappers.Request({'HTTP_USER_AGENT': ua})
assert request.user_agent.browser == browser
assert request.user_agent.platform == platform
assert request.user_agent.version == version
assert request.user_agent.language == lang
assert bool(request.user_agent)
assert request.user_agent.to_header() == ua
assert str(request.user_agent) == ua
request = wrappers.Request({'HTTP_USER_AGENT': 'foo'})
assert not request.user_agent
def test_etag_response_mixin(self):
response = wrappers.Response('Hello World')
assert response.get_etag() == (None, None)
response.add_etag()
assert response.get_etag() == ('b10a8db164e0754105b7a99be72e3fe5', False)
assert not response.cache_control
response.cache_control.must_revalidate = True
response.cache_control.max_age = 60
response.headers['Content-Length'] = len(response.data)
assert response.headers['Cache-Control'] in ('must-revalidate, max-age=60',
'max-age=60, must-revalidate')
assert 'date' not in response.headers
env = create_environ()
env.update({
'REQUEST_METHOD': 'GET',
'HTTP_IF_NONE_MATCH': response.get_etag()[0]
})
response.make_conditional(env)
assert 'date' in response.headers
# after the thing is invoked by the server as wsgi application
# (we're emulating this here), there must not be any entity
# headers left and the status code would have to be 304
resp = wrappers.Response.from_app(response, env)
assert resp.status_code == 304
assert not 'content-length' in resp.headers
# make sure date is not overriden
response = wrappers.Response('Hello World')
response.date = 1337
d = response.date
response.make_conditional(env)
assert response.date == d
# make sure content length is only set if missing
response = wrappers.Response('Hello World')
response.content_length = 999
response.make_conditional(env)
self.assert_equal(response.content_length, 999)
def test_etag_response_mixin_freezing(self):
class WithFreeze(wrappers.ETagResponseMixin, wrappers.BaseResponse):
pass
class WithoutFreeze(wrappers.BaseResponse, wrappers.ETagResponseMixin):
pass
response = WithFreeze('Hello World')
response.freeze()
assert response.get_etag() == (wrappers.generate_etag('Hello World'), False)
response = WithoutFreeze('Hello World')
response.freeze()
assert response.get_etag() == (None, None)
response = wrappers.Response('Hello World')
response.freeze()
assert response.get_etag() == (None, None)
def test_authenticate_mixin(self):
resp = wrappers.Response()
resp.www_authenticate.type = 'basic'
resp.www_authenticate.realm = 'Testing'
assert resp.headers['WWW-Authenticate'] == 'Basic realm="Testing"'
resp.www_authenticate.realm = None
resp.www_authenticate.type = None
assert 'WWW-Authenticate' not in resp.headers
def test_response_stream_mixin(self):
response = wrappers.Response()
response.stream.write('Hello ')
response.stream.write('World!')
assert response.response == ['Hello ', 'World!']
assert response.data == 'Hello World!'
def test_common_response_descriptors_mixin(self):
response = wrappers.Response()
response.mimetype = 'text/html'
assert response.mimetype == 'text/html'
assert response.content_type == 'text/html; charset=utf-8'
assert response.mimetype_params == {'charset': 'utf-8'}
response.mimetype_params['x-foo'] = 'yep'
del response.mimetype_params['charset']
assert response.content_type == 'text/html; x-foo=yep'
now = datetime.utcnow().replace(microsecond=0)
assert response.content_length is None
response.content_length = '42'
assert response.content_length == 42
for attr in 'date', 'age', 'expires':
assert getattr(response, attr) is None
setattr(response, attr, now)
assert getattr(response, attr) == now
assert response.retry_after is None
response.retry_after = now
assert response.retry_after == now
assert not response.vary
response.vary.add('Cookie')
response.vary.add('Content-Language')
assert 'cookie' in response.vary
assert response.vary.to_header() == 'Cookie, Content-Language'
response.headers['Vary'] = 'Content-Encoding'
assert response.vary.as_set() == set(['content-encoding'])
response.allow.update(['GET', 'POST'])
assert response.headers['Allow'] == 'GET, POST'
response.content_language.add('en-US')
response.content_language.add('fr')
assert response.headers['Content-Language'] == 'en-US, fr'
def test_common_request_descriptors_mixin(self):
request = wrappers.Request.from_values(content_type='text/html; charset=utf-8',
content_length='23',
headers={
'Referer': 'http://www.example.com/',
'Date': 'Sat, 28 Feb 2009 19:04:35 GMT',
'Max-Forwards': '10',
'Pragma': 'no-cache'
})
assert request.content_type == 'text/html; charset=utf-8'
assert request.mimetype == 'text/html'
assert request.mimetype_params == {'charset': 'utf-8'}
assert request.content_length == 23
assert request.referrer == 'http://www.example.com/'
assert request.date == datetime(2009, 2, 28, 19, 4, 35)
assert request.max_forwards == 10
assert 'no-cache' in request.pragma
def test_shallow_mode(self):
request = wrappers.Request({'QUERY_STRING': 'foo=bar'}, shallow=True)
assert request.args['foo'] == 'bar'
self.assert_raises(RuntimeError, lambda: request.form['foo'])
def test_form_parsing_failed(self):
data = (
'--blah\r\n'
)
data = wrappers.Request.from_values(input_stream=StringIO(data),
content_length=len(data),
content_type='multipart/form-data; boundary=foo',
method='POST')
assert not data.files
assert not data.form
def test_url_charset_reflection(self):
req = wrappers.Request.from_values()
req.charset = 'utf-7'
assert req.url_charset == 'utf-7'
def test_response_streamed(self):
r = wrappers.Response()
assert not r.is_streamed
r = wrappers.Response("Hello World")
assert not r.is_streamed
r = wrappers.Response(["foo", "bar"])
assert not r.is_streamed
def gen():
if 0:
yield None
r = wrappers.Response(gen())
assert r.is_streamed
def test_response_freeze(self):
def generate():
yield "foo"
yield "bar"
resp = wrappers.Response(generate())
resp.freeze()
assert resp.response == ['foo', 'bar']
assert resp.headers['content-length'] == '6'
def test_other_method_payload(self):
data = 'Hello World'
req = wrappers.Request.from_values(input_stream=StringIO(data),
content_length=len(data),
content_type='text/plain',
method='WHAT_THE_FUCK')
assert req.data == data
assert isinstance(req.stream, wrappers.LimitedStream)
def test_urlfication(self):
resp = wrappers.Response()
resp.headers['Location'] = u'http://üser:pässword@☃.net/påth'
resp.headers['Content-Location'] = u'http://☃.net/'
headers = resp.get_wsgi_headers(create_environ())
assert headers['location'] == \
'http://%C3%BCser:p%C3%A4ssword@xn--n3h.net/p%C3%A5th'
assert headers['content-location'] == 'http://xn--n3h.net/'
def test_new_response_iterator_behavior(self):
req = wrappers.Request.from_values()
resp = wrappers.Response(u'Hello Wörld!')
def get_content_length(resp):
headers = wrappers.Headers.linked(resp.get_wsgi_headers(req.environ))
return headers.get('content-length', type=int)
def generate_items():
yield "Hello "
yield u"Wörld!"
# werkzeug encodes when set to `data` now, which happens
# if a string is passed to the response object.
assert resp.response == [u'Hello Wörld!'.encode('utf-8')]
assert resp.data == u'Hello Wörld!'.encode('utf-8')
assert get_content_length(resp) == 13
assert not resp.is_streamed
assert resp.is_sequence
# try the same for manual assignment
resp.data = u'Wörd'
assert resp.response == [u'Wörd'.encode('utf-8')]
assert resp.data == u'Wörd'.encode('utf-8')
assert get_content_length(resp) == 5
assert not resp.is_streamed
assert resp.is_sequence
# automatic generator sequence conversion
resp.response = generate_items()
assert resp.is_streamed
assert not resp.is_sequence
assert resp.data == u'Hello Wörld!'.encode('utf-8')
assert resp.response == ['Hello ', u'Wörld!'.encode('utf-8')]
assert not resp.is_streamed
assert resp.is_sequence
# automatic generator sequence conversion
resp.response = generate_items()
resp.implicit_sequence_conversion = False
assert resp.is_streamed
assert not resp.is_sequence
self.assert_raises(RuntimeError, lambda: resp.data)
resp.make_sequence()
assert resp.data == u'Hello Wörld!'.encode('utf-8')
assert resp.response == ['Hello ', u'Wörld!'.encode('utf-8')]
assert not resp.is_streamed
assert resp.is_sequence
# stream makes it a list no matter how the conversion is set
for val in True, False:
resp.implicit_sequence_conversion = val
resp.response = ("foo", "bar")
assert resp.is_sequence
resp.stream.write('baz')
assert resp.response == ['foo', 'bar', 'baz']
def test_form_data_ordering(self):
class MyRequest(wrappers.Request):
parameter_storage_class = ImmutableOrderedMultiDict
req = MyRequest.from_values('/?foo=1&bar=0&foo=3')
assert list(req.args) == ['foo', 'bar']
assert req.args.items(multi=True) == [
('foo', '1'),
('bar', '0'),
('foo', '3')
]
assert isinstance(req.args, ImmutableOrderedMultiDict)
assert isinstance(req.values, CombinedMultiDict)
assert req.values['foo'] == '1'
assert req.values.getlist('foo') == ['1', '3']
def test_storage_classes(self):
class MyRequest(wrappers.Request):
dict_storage_class = dict
list_storage_class = list
parameter_storage_class = dict
req = MyRequest.from_values('/?foo=baz', headers={
'Cookie': 'foo=bar'
})
assert type(req.cookies) is dict
assert req.cookies == {'foo': 'bar'}
assert type(req.access_route) is list
assert type(req.args) is dict
assert type(req.values) is CombinedMultiDict
assert req.values['foo'] == 'baz'
req = wrappers.Request.from_values(headers={
'Cookie': 'foo=bar'
})
assert type(req.cookies) is ImmutableTypeConversionDict
assert req.cookies == {'foo': 'bar'}
assert type(req.access_route) is ImmutableList
MyRequest.list_storage_class = tuple
req = MyRequest.from_values()
assert type(req.access_route) is tuple
def test_response_headers_passthrough(self):
headers = wrappers.Headers()
resp = wrappers.Response(headers=headers)
assert resp.headers is headers
def test_response_304_no_content_length(self):
resp = wrappers.Response('Test', status=304)
env = create_environ()
assert 'content-length' not in resp.get_wsgi_headers(env)
def test_ranges(self):
# basic range stuff
req = wrappers.Request.from_values()
assert req.range is None
req = wrappers.Request.from_values(headers={'Range': 'bytes=0-499'})
assert req.range.ranges == [(0, 500)]
resp = wrappers.Response()
resp.content_range = req.range.make_content_range(1000)
assert resp.content_range.units == 'bytes'
assert resp.content_range.start == 0
assert resp.content_range.stop == 500
assert resp.content_range.length == 1000
assert resp.headers['Content-Range'] == 'bytes 0-499/1000'
resp.content_range.unset()
assert 'Content-Range' not in resp.headers
resp.headers['Content-Range'] = 'bytes 0-499/1000'
assert resp.content_range.units == 'bytes'
assert resp.content_range.start == 0
assert resp.content_range.stop == 500
assert resp.content_range.length == 1000
def test_auto_content_length(self):
resp = wrappers.Response('Hello World!')
assert resp.content_length == 12
resp = wrappers.Response(['Hello World!'])
assert resp.content_length is None
assert resp.get_wsgi_headers({})['Content-Length'] == '12'
def test_disabled_auto_content_length(self):
class MyResponse(wrappers.Response):
automatically_set_content_length = False
resp = MyResponse('Hello World!')
self.assert_(resp.content_length is None)
resp = MyResponse(['Hello World!'])
self.assert_(resp.content_length is None)
self.assert_('Content-Length' not in resp.get_wsgi_headers({}))
def test_location_header_autocorrect(self):
env = create_environ()
class MyResponse(wrappers.Response):
autocorrect_location_header = False
resp = MyResponse('Hello World!')
resp.headers['Location'] = '/test'
self.assert_equal(resp.get_wsgi_headers(env)['Location'], '/test')
resp = wrappers.Response('Hello World!')
resp.headers['Location'] = '/test'
self.assert_equal(resp.get_wsgi_headers(env)['Location'], 'http://localhost/test')
def suite():
suite = unittest.TestSuite()
suite.addTest(unittest.makeSuite(WrappersTestCase))
return suite
|
[
"oriol@uri.cat"
] |
oriol@uri.cat
|
90eeb932286f2b70f61e93c7696e6754db0c0289
|
82cdfdc0cc3a3de9d2b3f3ef9e51f25f0f3a11ad
|
/SAMP/people/migrations/0005_auto_20190711_2032.py
|
ef10a25d1fcf4accfb4b3d364670cc2a114f4337
|
[] |
no_license
|
akitsuryoko/StudentAssosiationManagementPlatform
|
8a6a6ad41ee8b1a187aa7a3b6dcfb29247aab58e
|
02db11de01275606b3d05119284362cb55e1bc63
|
refs/heads/master
| 2020-06-19T05:07:30.159642
| 2019-07-12T12:12:30
| 2019-07-12T12:12:30
| 195,827,677
| 0
| 0
| null | 2019-07-08T14:20:50
| 2019-07-08T14:20:50
| null |
UTF-8
|
Python
| false
| false
| 400
|
py
|
# Generated by Django 2.2.1 on 2019-07-11 12:32
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('people', '0004_auto_20190710_1516'),
]
operations = [
migrations.AlterField(
model_name='person',
name='cookie_id',
field=models.CharField(max_length=256, null=True),
),
]
|
[
"1138164561@qq.com"
] |
1138164561@qq.com
|
42af71a8602e0cdea4da087e51fed92e10e0e222
|
e2311b68b22d9bfeae2de1e159b9d36ae677fff9
|
/Day 10/days_in_month.py
|
1236731bc894a4d8ef4e1506b2160e3a70e82ecf
|
[] |
no_license
|
Omisw/Python_100_days
|
80be2886fae8e67cdcc35956fbceab91d9cd5b4d
|
8699e6a34938f4a370fc03e1fded53923625aa1d
|
refs/heads/main
| 2023-03-10T06:38:45.858562
| 2021-02-24T22:23:11
| 2021-02-24T22:23:11
| 330,755,226
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,382
|
py
|
# Day 10 - First exercise.
# Days in Month
# Instructions
# In the starting code, you'll find the solution from the Leap Year challenge. First, convert this function is_leap() so that instead of printing "Leap year." or "Not leap year."
# it should return True if it is a leap year and return False if it is not a leap year.
# You are then going to create a function called days_in_month() which will take a year and a month as inputs, e.g.
# days_in_month(year=2022, month=2)
# And it will use this information to work out the number of days in the month, then return that as the output, e.g.:
# 28
# The List month_days contains the number of days in a month from January to December for a non-leap year. A leap year has 29 days in February.
def is_leap(year):
if year % 4 == 0:
if year % 100 == 0:
if year % 400 == 0:
return True
else:
return False
else:
return True
else:
return False
def days_in_month(year, month):
if month > 12 or month < 1:
return f"The month {month}, is a invalid month."
month_days = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
if is_leap(year) and month == 2:
return 29
return month_days[month -1]
#🚨 Do NOT change any of the code below
year = int(input("Enter a year: "))
month = int(input("Enter a month: "))
days = days_in_month(year, month)
print(days)
|
[
"o_mis_6@hotmail.com"
] |
o_mis_6@hotmail.com
|
548aa10877c45afcb7de075e147edf9994827bd2
|
bdd8ea8cad219d0fbe7d1151ba566e852dd9b640
|
/analyze_job_output.py
|
bc9943b2c9972c1721c2a26ac8c7d9dd9bb86398
|
[] |
no_license
|
edquist/vm-test-runs
|
ff13928b907c32f07e0d4539e8e27188d88132c1
|
1847bf6e60d20f9662f52b84aa7dc0dddcbdc9ce
|
refs/heads/master
| 2023-02-09T11:39:28.723434
| 2016-06-22T20:31:20
| 2016-06-22T20:31:20
| 63,362,384
| 0
| 0
| null | 2016-07-14T19:04:58
| 2016-07-14T19:04:58
| null |
UTF-8
|
Python
| false
| false
| 12,607
|
py
|
#!/usr/bin/python
import glob
import os
import re
import socket
import subprocess
import sys
from datetime import datetime, date
import yaml
def run_command(command, shell=False):
# Preprocess command
if shell:
if not isinstance(command, str):
command = ' '.join(command)
elif not (isinstance(command, list) or isinstance(command, tuple)):
raise TypeError, 'Need list or tuple, got %s' % (repr(command))
# Run and return command
p = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, shell=shell)
(stdout, stderr) = p.communicate()
return (p.returncode, stdout, stderr)
def read_file(path):
data_file = open(path, 'r')
data = data_file.read()
data_file.close()
return data
def load_yaml(filename):
yaml_file = read_file(filename)
return yaml.load(yaml_file)
def re_extract(regexp, data, flags=0, default=None, group=None):
m = re.search(regexp, data, flags)
if m is None:
return default
elif group is None:
return m.groups()
else:
return m.group(group)
def extract_inet_address(run_job_log):
eth0_block = re_extract(r'^\d:\s*eth0:(.*?)(?:^\d)', run_job_log, re.MULTILINE | re.DOTALL, group=1)
ens3_block = re_extract(r'^\d:\s*ens3:(.*?)(?:^\d)', run_job_log, re.MULTILINE | re.DOTALL, group=1)
if eth0_block:
return re_extract(r'^\s+inet\s+(.*?)\/', eth0_block, re.MULTILINE, group=1)
elif ens3_block:
return re_extract(r'^\s+inet\s+(.*?)\/', ens3_block, re.MULTILINE, group=1)
else:
return None
def extract_last(run_job_log, regexp):
all_installs = re.findall(regexp, run_job_log, re.MULTILINE)
if len(all_installs) == 0:
return None
return all_installs[-1]
def write_yaml_value(value):
if value is None:
result = '~'
elif isinstance(value, str):
if re.search(r"['\"\n|>,#\[\]]", value):
result = "'%s'" % value.replace("'", "''").replace('\n', '\\n')
else:
result = value
elif isinstance(value, list):
result = ''
if len(value) > 0:
for element in value:
result += '\n -%s' % write_yaml_value(element)
else:
result = str(value)
if '\n' in result:
return result
return ' ' + result
def write_yaml_mapping(data, key):
if key in data:
if key == 'job_serial':
print ' %s: \'%s\'' % (key, data[key])
else:
value = data[key]
print ' %s:%s' % (key, write_yaml_value(value))
def write_yaml(data):
print '-'
for key in sorted(data.keys()):
write_yaml_mapping(data, key)
def write_failure_and_exit(data, status, message, extra=None):
data['run_status'] = status
data['run_summary'] = message
if extra is not None:
data['run_details'] = extra
write_yaml(data)
sys.exit(0)
def parse_log(osg_test_log, test_exceptions, components):
# Extract problems
today = date.today()
run_status = ''
problems = []
ignored_failures = 0
cleanup_failures = 0
for m in re.finditer(r'^(ERROR|FAIL): (\w+) \(osgtest\.tests\.(\w+)\.(\w+)\)', osg_test_log, re.MULTILINE):
status, function, module, module_name = m.groups()
if module == 'special_cleanup':
cleanup_failures += 1
if test_exceptions:
for exception in test_exceptions:
ex_function, ex_module, ex_start, ex_finish = exception
if status == 'FAIL' and ex_function == function and ex_module == module and \
today >= ex_start and today <= ex_finish:
ignored_failures += 1
problems.append('|'.join((module, function, module_name, status, '-')))
if ignored_failures and ignored_failures == len(problems) - cleanup_failures:
# Runs consisting only of 'ignored' and 'cleanup' failures should be marked
# as 'ignored' since 'cleanup' failures are mostly due to errors in the
# test framework and are thus less interesting. Checking that ignored_
# failures is non-zero ensures that we don't capture cleanup-only failures.
run_status = 'ignore'
elif all('special_cleanup' in problem for problem in problems) and problems: # all() returns true for empty lists!
run_status = 'cleanup'
elif any('_update_' in problem for problem in problems):
run_status = 'update'
elif any('install_packages' in problem for problem in problems):
run_status = 'install'
m = re.search(r'^=+\nBAD SKIPS:\n-+\n(.*?)\n\n', osg_test_log, re.MULTILINE | re.DOTALL)
if m is not None:
for n in re.finditer(r'^(\w+) \(osgtest\.tests\.(\w+)\.(\w+)\) (.*)$', m.group(1), re.MULTILINE):
function, module, module_name, comment = n.groups()
problems.append('|'.join((module, function, module_name, 'SKIP', comment)))
if not problems:
run_status = 'pass'
elif not run_status: # catch missed failures
run_status = 'fail'
okskips = {}
m = re.finditer(r'\S+ \(osgtest\.tests\.([^\.]+).*okskip$', osg_test_log, re.MULTILINE)
if m is not None:
for module in m:
try:
tags = components[module.group(1)]
except KeyError:
continue
try:
for tag in tags:
okskips[tag] += 1
except KeyError:
okskips[tag] = 1
if re.search('AssertionError: Retries terminated after timeout period', osg_test_log, re.MULTILINE):
run_status += ' yum_timeout'
return run_status, problems, okskips
# ======================================================================================================================
if __name__ == '__main__':
# Process command-line arguments
if len(sys.argv) != 3:
print 'usage: %s SERIAL JOBID' % os.path.basename(sys.argv[0])
sys.exit(1)
job_serial = sys.argv[1]
job_id = sys.argv[2]
# Start hash
data = {
'job_serial': job_serial,
'job_id': job_id,
'run_directory': os.getcwd()
}
# Construct expected directory name
test_run_dir = 'output-' + job_serial
# Read condor_history output for transfer-in time (in seconds)
(rc, stdout, _) = run_command(('condor_history', '-format', '%d\\n ', 'JobCurrentStartExecutingDate - JobCurrentStartDate',
job_id, '-match', '1'))
if rc == 0:
data['transfer_in'] = re_extract(r'^(\S+)$', stdout, group=1)
# Separate query for hostname in case the JobAd's missing attributes
(rc, stdout, _) = run_command(('condor_history', '-format', '%s\\n', 'LastRemoteHost', job_id, '-match', '1'))
if rc ==0:
data['host_name'] = re_extract(r'^\S+@(\S+)$', stdout, group=1)
try:
data['host_address'] = socket.gethostbyname(data['host_name'])
except TypeError:
# Missing hostname from condor_history
data['host_name'] = 'unavailable'
data['host_address'] = 'unavailable'
except socket.gaierror:
# When gethostbyname can't find address by hostname1
data['host_address'] = 'unavailable'
# Read osg-test.conf
conf_file_name = os.path.join(test_run_dir, 'input', 'osg-test.conf')
conf_file = read_file(conf_file_name)
data['param_sources'] = re_extract(r'^sources\s*=\s*(.*)$', conf_file, re.MULTILINE, group=1)
data['param_packages'] = re_extract(r'^packages\s*=\s*(.*)$', conf_file, re.MULTILINE, group=1)
# Read free size left in the IO image
io_free_size_file = os.path.join(test_run_dir, 'io_free_size')
data['io_free_size'] = read_file(io_free_size_file)
# Read run-job.log
run_job_logfile = os.path.join(test_run_dir, 'run-job.log')
run_job_log = read_file(run_job_logfile)
# Get VM creation date
data['vm_creation_date'] = re_extract(r'cat /etc/creation_date\n(.*?)\n==> OK', run_job_log, group=1)
# Get and simplify OS release string
os_long_string = re_extract(r'cat /etc/redhat-release\n(.*?)\n==> OK', run_job_log, group=1)
os_string = re.sub(r'release\s+', '', os_long_string)
os_string = re.sub(r'\s*\(.*\)$', '', os_string)
data['os_release'] = os_string
# Look for whole-run failures
inet_address = extract_inet_address(run_job_log)
if inet_address is None:
write_failure_and_exit(data, 1, 'No apparent IP address')
data['guest_address'] = inet_address
# See if the rpm install of epel-release failed
failed_epel_install = re.search(r'Could not install EPEL repository', run_job_log)
if failed_epel_install:
write_failure_and_exit(data, 1, 'rpm install of epel-release failed')
# See if the final yum install of osg-test failed
final_osgtest_install = extract_last(run_job_log, r'^.*install osg-test(?:.*\n)*?^==>.*$')
if final_osgtest_install is not None:
install_result = re_extract(r'^==> (\w+)', final_osgtest_install, re.MULTILINE, group=1)
if install_result != 'OK':
write_failure_and_exit(data, 1, 'yum install of osg-test failed', final_osgtest_install)
# Extract osg-test source string
for package in ['osg-test', 'osg-ca-generator']:
source_re = r'^%s source: (.*)$' % package
data[package.replace('-', '_') + '_version'] = re_extract(source_re, run_job_log, re.MULTILINE,
default='(unknown)', group=1)
# Read osg-test output
osg_test_logfile_list = glob.glob(os.path.join(test_run_dir, 'output', 'osg-test-*.log'))
if len(osg_test_logfile_list) == 0:
write_failure_and_exit(data, 1, 'No osg-test-DATE.log file found')
osg_test_logfile = osg_test_logfile_list[0]
osg_test_log = read_file(osg_test_logfile)
data['run_status'] = 0
data['osg_test_logfile'] = osg_test_logfile
data['osg_test_status'], data['tests_messages'], data['ok_skips'] = parse_log(osg_test_log,
load_yaml('test-exceptions.yaml'),
load_yaml('component-tags.yaml'))
# Extract start time
data['start_time'] = re_extract(r'^Start time: (.*)$', osg_test_log, re.MULTILINE, group=1)
# Determine if the run timed out which can be found at the end of the log
timeout_re = re.compile('Caught alarm:\n.*message: (.*):')
reversed_osg_test_log = '\n'.join(reversed(osg_test_log.split('\n')))
timeout_match = timeout_re.search(reversed_osg_test_log, re.MULTILINE)
if timeout_match:
data['osg_test_status'] = 'timeout'
end_time = datetime.strptime(timeout_match.group(1), '%Y-%m-%d %H:%M:%S')
start_time = datetime.strptime(data['start_time'], '%Y-%m-%d %H:%M:%S')
data['run_time'] = end_time - start_time
last_test_re = re.compile(r'File .*osgtest\/tests\/(.*)\".*in (.*)')
last_test = last_test_re.search(reversed_osg_test_log)
failed_module, failed_test = last_test.groups()
data['timeout_test'] = failed_test + ' (' + failed_module + ')'
# Extract summary statistics
summary_re = re.compile(r'(Ran \d+ tests in .*)\s+((?:OK|FAILED)\s*\([^)]+\))\n(?!STDOUT)')
summary_lines = re_extract(summary_re, osg_test_log)
data['tests_total'] = data['tests_failed'] = data['tests_error'] = data['tests_bad_skip'] = data['tests_ok_skip'] = 0
if summary_lines is None:
data['run_time'] = 0.0
else:
tests_total, run_time = re_extract(r'Ran (\d+) tests in ([\d.]+)s', summary_lines[0])
data['tests_total'] = int(tests_total)
data['run_time'] = float(run_time)
summary = summary_lines[1]
overall, details = re_extract(r'(OK|FAILED)\s*\(([^)]+)\)', summary_lines[1])
for detailed_count in re.split(r'\s*,\s*', details):
label, value = detailed_count.split('=')
if label == 'failures': data['tests_failed'] = int(value)
elif label == 'errors': data['tests_error'] = int(value)
elif label == 'badSkips': data['tests_bad_skip'] = int(value)
elif label == 'okSkips': data['tests_ok_skip'] = int(value)
else: raise ValueError()
data['tests_ok'] = data['tests_total'] - \
(data['tests_failed'] + data['tests_error'] + data['tests_bad_skip'] + data['tests_ok_skip'])
write_yaml(data)
|
[
"blin@cs.wisc.edu"
] |
blin@cs.wisc.edu
|
a28899990a52251b03fac204e9b1ffb85d3044c3
|
04ffe1395bec0943f1f9fc26cffdd9eb8777cf9a
|
/CONSTANTS.py
|
d495aacf47c7cb3ec7a517349b702461c99584bb
|
[
"MIT"
] |
permissive
|
elben10/corona-dashboard
|
8693954bee0f58c2f01509db08e33403754b4f4a
|
ce3be765ee560b9cfec364f3dca32cc804776b8a
|
refs/heads/master
| 2022-12-15T08:59:16.116354
| 2020-03-29T18:34:55
| 2020-03-29T18:34:55
| 248,964,130
| 0
| 0
|
MIT
| 2022-12-10T23:18:59
| 2020-03-21T11:41:48
|
CSS
|
UTF-8
|
Python
| false
| false
| 106
|
py
|
DATE = "dateRep"
CASES = "cases"
DEATHS = "deaths"
ISO2 = "geoId"
COUNTRY_TEXT = "countriesAndTerritories"
|
[
"jakob@datamaga.com"
] |
jakob@datamaga.com
|
7a6ed2e5960052212101319e62ebc462b40124b7
|
006bf92faff4950b13b2830924f3a723972e6d45
|
/bot.py
|
227ede349eaf781f3f4d24b40b0bddfb665afd02
|
[] |
no_license
|
NotThareesh/Pybot
|
7910942a29279029a7365985f5da9fb5927e7231
|
12bdd159d8307ceb504f7f52d541542c010665e3
|
refs/heads/main
| 2023-04-24T07:29:25.121851
| 2021-05-17T16:03:49
| 2021-05-17T16:03:49
| 333,765,373
| 2
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 597
|
py
|
import discord
import os
from discord.ext import commands
intents = discord.Intents(messages=True, guilds=True, reactions=True, members=True, presences=True)
client = commands.Bot(command_prefix="!", intents=intents, help_command=None)
TOKEN = ''
@client.command()
async def load(ctx, extension):
client.load_extension(f"cogs.{extension}")
@client.command()
async def unload(ctx, extension):
client.unload_extension(f"cogs.{extension}")
for filename in os.listdir("./cogs"):
if filename.endswith(".py"):
client.load_extension(f"cogs.{filename[:-3]}")
client.run(TOKEN)
|
[
"thareesh.prabakaran@gmail.com"
] |
thareesh.prabakaran@gmail.com
|
f8ce478e09b28dbecf8e4a33bca3cd6def745e32
|
53fab060fa262e5d5026e0807d93c75fb81e67b9
|
/backup/user_241/ch5_2020_03_04_20_03_29_973202.py
|
3d805dd5f639c6b24268fa29be5f1fa3398ea0f6
|
[] |
no_license
|
gabriellaec/desoft-analise-exercicios
|
b77c6999424c5ce7e44086a12589a0ad43d6adca
|
01940ab0897aa6005764fc220b900e4d6161d36b
|
refs/heads/main
| 2023-01-31T17:19:42.050628
| 2020-12-16T05:21:31
| 2020-12-16T05:21:31
| 306,735,108
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 113
|
py
|
libras_para_kg=float(input("Quantas Quilogramas: ")
print("libras:libras_para_kg*0,453592")
|
[
"you@example.com"
] |
you@example.com
|
300fb83211f3f1329e2de6d6bc5c4976fda3927d
|
82e02cee23da4c12a6e39bc6fc53760bfdd1d7a6
|
/bottle-test.py
|
3e488f3ad390feaada6ee09b21123c6f54c3a230
|
[
"MIT"
] |
permissive
|
hanky312/Gcoin-api
|
a40d78e0e7ed4ca1da8417741fa06bfdc56d9935
|
81572de95de45f4e46c9e50da5584855c41d6f54
|
refs/heads/master
| 2021-01-18T17:24:55.612132
| 2017-04-25T19:00:43
| 2017-04-25T19:00:43
| 86,796,596
| 6
| 1
| null | 2017-04-25T19:00:43
| 2017-03-31T08:29:24
|
Python
|
UTF-8
|
Python
| false
| false
| 11,179
|
py
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from bottle import route, request, run, response
from bitcoinrpc.authproxy import AuthServiceProxy, JSONRPCException
from datetime import datetime
import urllib,json
import pprint
import decimal, simplejson
#fix json type
class DecimalJSONEncoder(simplejson.JSONEncoder):
def default(self, o):
if isinstance(o, decimal.Decimal):
return str(o)
return super(DecimalJSONEncoder, self).default(o)
#./gcoin/gcoin.conf type rpcuser; rpcpassword; rpcport
RPC_USER = 'bitcoinrpc'
RPC_PASSWORD = '6SWniYid45ph9VFhVPepSzin2oJSsyepWiZKnJitZELD'
rpc_connection = AuthServiceProxy("http://%s:%s@localhost:58345"%(RPC_USER, RPC_PASSWORD))
LENGTH_CHECK = 64
#gcoin-cli listwalletaddress
@route('/listwalletaddress', method='GET')
def listwalletaddress():
listwalletaddress = rpc_connection.listwalletaddress()
response.add_header("Access-Control-Allow-Origin", "*")
return json.dumps(listwalletaddress)
#gcoin-cli getrawtransaction
@route('/tx/<tx_id>', method='GET')
def tx(tx_id=''):
if len(tx_id) != LENGTH_CHECK:
return "no tx_id "
raw_tx = rpc_connection.getrawtransaction(tx_id,1)
response.add_header("Access-Control-Allow-Origin", "*")
return raw_tx
#gcoin-cli sendrawtransaction
@route('/sendrawtransaction/<sendrawtransaction_data>', methon='GET')
def sendrawtransaction(sendrawtransaction_data=''):
sendrawtransaction = rpc_connection.sendrawtransaction(sendrawtransaction_data)
response.add_header("Access-Control-Allow-Origin", "*")
return { "tx_id": sendrawtransaction }
#gcoin-cli signrawtransaction
@route('/signrawtransaction/<signrawtransaction_data>', methon='GET')
def signrawtransaction(signrawtransaction_data=''):
signrawtransaction = rpc_connection.signrawtransaction(signrawtransaction_data)
response.add_header("Access-Control-Allow-Origin", "*")
return signrawtransaction
#gcoin-cli getblock
@route('/block/<block_hash>', method='GET')
def block(block_hash=''):
if len(block_hash) != LENGTH_CHECK:
return "no block_hash "
block_hash = rpc_connection.getblock(block_hash)
block_hash = simplejson.dumps(block_hash,cls=DecimalJSONEncoder)
response.add_header("Access-Control-Allow-Origin", "*")
return block_hash
#gcoin-cli getblockhash
@route('/blockindex/<block_hash_index>', method='GET')
def blockindex(block_hash_index=''):
block_hash = rpc_connection.getblockhash(int(block_hash_index))
block_hash = {'blockhash ' + str(block_hash_index) : block_hash}
response.add_header("Access-Control-Allow-Origin", "*")
return json.dumps(block_hash)
#gcoin-cli getfixedaddress
@route('/getfixedaddress', method='GET')
def getfixedaddressr():
getfixedaddress = rpc_connection.getfixedaddress()
response.add_header("Access-Control-Allow-Origin", "*")
return { "gcoin-cli getfixedaddress": getfixedaddress }
# return json.dumps(getfixedaddress)
#gcoin-cli getmemberlist
@route('/getmemberlist', method='GET')
def getmemberlist():
getmemberlist = rpc_connection.getmemberlist()
response.add_header("Access-Control-Allow-Origin", "*")
return getmemberlist
#gcoin-cli getinfo
@route('/getinfo', method='GET')
def getinfo():
getinfo = rpc_connection.getinfo()
response.add_header("Access-Control-Allow-Origin", "*")
return getinfo
#gcoin-cli getpeerinfo
@route('/getpeerinfo', method='GET')
def getpeerinfo():
getpeerinfo = rpc_connection.getpeerinfo()
response.add_header("Access-Control-Allow-Origin", "*")
return { "gcoin-cli getpeerinfo": getpeerinfo }
#gcoin-cli getnetworkinfo
@route('/getnetworkinfo', method='GET')
def getnetworkinfo():
getnetworkinfo = rpc_connection.getnetworkinfo()
response.add_header("Access-Control-Allow-Origin", "*")
return getnetworkinfo
#gcoin-cli getgenerate
@route('/getgenerate', method='GET')
def getgenerate():
getgenerate = rpc_connection.getgenerate()
response.add_header("Access-Control-Allow-Origin", "*")
return { "getgenerate": getgenerate}
#gcoin-cli setgenerate
#bug, unimplement
# @route('/setgenerate/<setgenerate_id>', method='GET')
# def setgenerate(setgenerate_id=''):
# setgenerate_id = setgenerate_id.lower()
# setgenerate = rpc_connection.setgenerate(setgenerate_id)
# response.add_header("Access-Control-Allow-Origin", "*")
# return { "setgenerate": setgenerate }
#gcoin-cli getminerlist
@route('/getminerlist', methos='GET')
def getminerlist():
getminerlist = rpc_connection.getminerlist()
response.add_header("Access-Control-Allow-Origin", "*")
return getminerlist
#gcoin-cli getmininginfo
@route('/getmininginfo', method='GET')
def getmininginfo():
getmininginfo = rpc_connection.getmininginfo()
response.add_header("Access-Control-Allow-Origin", "*")
return getmininginfo
#gcoin-cli getblockcount
@route('/getblockcount', method='GET')
def getblockcount():
getblockcount = rpc_connection.getblockcount()
getblockcount = {'blockcount':getblockcount}
response.add_header("Access-Control-Allow-Origin", "*")
return json.dumps(getblockcount)
#gcoin-cli mint
@route('/mint/<mint_amount>/<mint_color>', method='GET')
def mint(mint_amount='',mint_color=''):
mint = rpc_connection.mint(int(mint_amount),int(mint_color))
response.add_header("Access-Control-Allow-Origin", "*")
return { "tx_id": mint }
#gcoin-cli mintforminer
@route('/mintforminer', method='GET')
def mintforminer():
mintforminer = rpc_connection.mintforminer()
response.add_header("Access-Control-Allow-Origin", "*")
return { "tx_id": mintforminer }
#gcoin-cli mintforlicense
@route('/mintforlicense', method='GET')
def mintforlicense():
mintforlicense = rpc_connection.mintforlicense()
response.add_header("Access-Control-Allow-Origin", "*")
return { "tx_id": mintforlicense }
#gcoin-cli getbalance
@route('/getbalance', method='GET')
def getbalance():
getbalance = rpc_connection.getbalance()
response.add_header("Access-Control-Allow-Origin", "*")
return getbalance
#gcoin-cli getlicenseinfo
@route('/getlicenseinfo/<getlicenseinfo_index>', method='GET')
def getlicenseinfo(getlicenseinfo_index=''):
getlicenseinfo = rpc_connection.getlicenseinfo(int(getlicenseinfo_index))
# getlicenseinfo = {'getlicenseinfo ' + str(getlicenseinfo_index) : getlicenseinfo}
response.add_header("Access-Control-Allow-Origin", "*")
return getlicenseinfo
# return { "gcoin-cli getlicenseinfo": getlicenseinfo }
#gcoin-cli getlicenselist
@route('/getlicenselist', method='GET')
def getlicenselist():
getlicenselist = rpc_connection.getlicenselist()
response.add_header("Access-Control-Allow-Origin", "*")
return getlicenselist
#gcoin-cli sendlicensetoaddress
#license_comment decode tool https://hanky312.github.io/gcoin-encoder/
license_comment = "721101000547636f696e0547636f696e22314e39534650686f6d63794e466352526e5347746335654433354c445741515671560100000000000000000000000022314e39534650686f6d63794e466352526e5347746335654433354c44574151567156000000000000000000000000000a472d636f696e2e6f72670000000000000000000000000000000000000000000000000000000000000000"
@route('/sendlicensetoaddress/<sendlicensetoaddress_addr>/<sendlicensetoaddress_color>', method='GET')
def sendlicensetoaddress(sendlicensetoaddress_addr='',sendlicensetoaddress_color=''):
sendlicensetoaddress = rpc_connection.sendlicensetoaddress(str(sendlicensetoaddress_addr),int(sendlicensetoaddress_color),license_comment)
response.add_header("Access-Control-Allow-Origin", "*")
return { "tx_id": sendlicensetoaddress }
#gcoin-cli sendtoaddress
@route('/sendtoaddress/<address>/<amount>/<color>', method='GET')
def sendtoaddress(address='',amount='',color=''):
sendtoaddress = rpc_connection.sendtoaddress(str(address),int(amount),int(color))
response.add_header("Access-Control-Allow-Origin", "*")
return { "tx_id": sendtoaddress }
#gcoin-cli sendfrom
@route('/sendfrom/<from_address>/<to_adddress>/<amount>/<color>', methos='GET')
def sendfrom(from_address='',to_adddress='',amount='',color=''):
sendfrom = rpc_connection.sendfrom(str(from_address),str(to_adddress),int(amount),int(color))
response.add_header("Access-Control-Allow-Origin", "*")
return { "tx_id": sendfrom }
#gcoin-cli getaddressbalance
@route('/getaddressbalance/<address>', method='GET')
def getaddressbalance(address=''):
getaddressbalance = rpc_connection.getaddressbalance(str(address))
response.add_header("Access-Control-Allow-Origin", "*")
return getaddressbalance
#gcoin-cli importaddress
@route('/importaddress/<address>', method='GET')
def importaddress(address=''):
importaddress = rpc_connection.importaddress(str(address))
response.add_header("Access-Control-Allow-Origin", "*")
return { "importaddress": address }
#gcoin-cli importprivkey
@route('/importprivkey/<privkey>', methon='GET')
def importprivkey(privkey=''):
importprivkey = rpc_connection.importprivkey(str(privkey))
response.add_header("Access-Control-Allow-Origin", "*")
return { "importprivkey": privkey }
#gcoin-cli dumpprivkey
@route('/dumpprivkey/<address>', methon='GET')
def dumpprivkey(address=''):
dumpprivkey = rpc_connection.dumpprivkey(str(address))
response.add_header("Access-Control-Allow-Origin", "*")
return { "privkey": dumpprivkey }
#gcoin-cli gettxoutaddress
@route('/gettxoutaddress/<gettxoutaddress_address>', method='GET')
def gettxoutaddress(gettxoutaddress_address=''):
gettxoutaddress = rpc_connection.gettxoutaddress(str(gettxoutaddress_address))
response.add_header("Access-Control-Allow-Origin", "*")
return { "gettxoutaddress": gettxoutaddress }
#gcoin-cli validateaddress
@route('/validateaddress/<validateaddress_address>', method='GET')
def validateaddress(validateaddress_address=''):
validateaddress = rpc_connection.validateaddress(str(validateaddress_address))
response.add_header("Access-Control-Allow-Origin", "*")
return validateaddress
#callback_url & save to .txt
@route ('/testcallback', method='POST')
def testcallback(UpdatedData=None):
Data = request.body.read()
fileDT = datetime.now().strftime('%Y%m%d_%H%M%S')
with open(fileDT+'.txt', 'a') as f:
f.write(Data)
print Data
return Data
#
@route ('/notify/<tx_id>', method='POST')
def tagTweets(tx_id=None,UpdatedData=None):
response.content_type = 'application/json'
Data = json.load(request.body)
id = request.json['id']
tx_hash = request.json['tx_hash']
confirmation_count = request.json['confirmation_count']
callback_url = request.json['callback_url']
created_time = request.json['created_time']
return Data
run(host='0.0.0.0',port=8091,debug='true')
|
[
"hsnu109128@gmail.com"
] |
hsnu109128@gmail.com
|
0fdae3788745958c642dc3b1fd5772fdbe2b9965
|
4d1415832ff283f8bbb655f356af333a921d96cb
|
/jasmin/vendor/smpp/pdu/error.py
|
5f207ed06eb0aea08a81843b05b50b28ea23e6a2
|
[
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] |
permissive
|
DomAmato/jasmin
|
a7d437632127d67b33dd3c980b548b7639b871fa
|
a813b8be5722eb7b5d8ac3dfbd0749441ac9df01
|
refs/heads/master
| 2021-05-24T12:16:32.070490
| 2020-04-06T22:20:01
| 2020-04-06T22:20:09
| 253,556,310
| 2
| 0
|
NOASSERTION
| 2020-04-28T20:23:33
| 2020-04-06T16:34:50
|
Python
|
UTF-8
|
Python
| false
| false
| 2,742
|
py
|
"""
Copyright 2009-2010 Mozes, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either expressed or implied.
See the License for the specific language governing permissions and
limitations under the License.
"""
from jasmin.vendor.smpp.pdu import constants
class SMPPError(Exception):
"""Base class for SMPP errors
"""
class SMPPClientError(SMPPError):
"""Raised for client-side errors
"""
class SMPPClientConnectionCorruptedError(SMPPClientError):
"""Raised when operations are attempted after the client has received corrupt data
"""
class SMPPClientSessionStateError(SMPPClientError):
"""Raised when illegal operations are attempted for the client's session state
"""
class SMPPTransactionError(SMPPError):
"""Raised for transaction errors
"""
def __init__(self, response, request=None):
self.response = response
self.request = request
SMPPError.__init__(self, self.getErrorStr())
def getErrorStr(self):
errCodeName = str(self.response.status)
errCodeVal = constants.command_status_name_map[errCodeName]
errCodeDesc = constants.command_status_value_map[errCodeVal]
return '%s (%s)' % (errCodeName, errCodeDesc)
class SMPPGenericNackTransactionError(SMPPTransactionError):
"""Raised for transaction errors that return generic_nack
"""
class SMPPRequestTimoutError(SMPPError):
"""Raised for timeout waiting waiting for response
"""
class SMPPSessionInitTimoutError(SMPPRequestTimoutError):
"""Raised for timeout waiting waiting for response
"""
class SMPPProtocolError(SMPPError):
"""Raised for SMPP protocol errors
"""
def __init__(self, errStr, commandStatus):
self.status = commandStatus
SMPPError.__init__(self, "%s: %s" % (self.getStatusDescription(), errStr))
def getStatusDescription(self):
intVal = constants.command_status_name_map[str(self.status)]
return constants.command_status_value_map[intVal]['description']
class SessionStateError(SMPPProtocolError):
"""Raise when illegal operations are received for the given session state
"""
class PDUParseError(SMPPProtocolError):
"""Parent class for PDU parsing errors
"""
class PDUCorruptError(PDUParseError):
"""Raised when a complete PDU cannot be read from the network
"""
|
[
"tritux.com"
] |
tritux.com
|
8c82f3f4edeb1917ad66c06c4ad474a27f497bc4
|
58cb93acfdb489dc5b7b75773a4f554e3da554ee
|
/waifuforsale/settings.py
|
13205387591b2a50dd7128af1819038163f57c26
|
[] |
no_license
|
Rlexsu/waifusite
|
7c3949267e1be8c612abccffbbc4a7b136346581
|
1fe3f8a0df926b1fa7d3180205734e47a885f5ce
|
refs/heads/master
| 2021-01-20T14:28:35.661253
| 2017-05-09T04:36:22
| 2017-05-09T04:36:22
| 90,613,462
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,290
|
py
|
"""
Django settings for waifuforsale project.
Generated by 'django-admin startproject' using Django 1.11.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.11/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = 'ra7yo28k77uwzy8p^wfty=z^t2_jnvqx3t8$@8#azi&u=mqe@a'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = ['*']
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
'waifusite',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'waifuforsale.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [os.path.join(BASE_DIR,'templates')],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'waifuforsale.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.11/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.mysql',
'NAME': 'mydb',
'USER': 'osboxes',
'PASSWORD': '911009',
'HOST': 'localhost',
'PORT': '69834',
}
}
# Password validation
# https://docs.djangoproject.com/en/1.11/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/1.11/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'Asia/Kuala_Lumpur'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.11/howto/static-files/
STATIC_URL = '/static/'
STATICFILES_DIRS = [
os.path.join(BASE_DIR, 'static'),
]
|
[
"alex.teoh.91@gmail.com"
] |
alex.teoh.91@gmail.com
|
205d233ac74de0fef9008634ea2b663bc3c14464
|
af55b6668d2f390049c57664af7b38832af6d7fa
|
/pycorrector/bert/predict_mask.py
|
9a8613902744b317d7a2397c7405cdf028a5eddb
|
[
"Apache-2.0"
] |
permissive
|
JohnParken/pycorrector
|
5406f9802227dfaed8db6bb3a29e64baf98ddf2c
|
fed285600996510e073cdf71f3ba57e68116acf7
|
refs/heads/master
| 2021-02-04T10:04:53.982845
| 2020-03-03T02:37:16
| 2020-03-03T02:37:16
| 243,653,849
| 0
| 0
|
Apache-2.0
| 2020-02-28T01:33:36
| 2020-02-28T01:33:36
| null |
UTF-8
|
Python
| false
| false
| 17,375
|
py
|
# -*- coding: utf-8 -*-
"""
@author:XuMing（xuming624@qq.com)
@description: Run BERT on Masked LM.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
sys.path.append('../..')
import argparse
import os
import random
import re
import numpy as np
import torch
from pytorch_pretrained_bert import BertForMaskedLM
from pytorch_pretrained_bert.tokenization import BertTokenizer
from pycorrector.utils.logger import logger
MASK_TOKEN = "[MASK]"
class InputExample(object):
"""A single training/test example for simple sequence classification."""
def __init__(self, guid, text_a, text_b=None, label=None):
"""Constructs a InputExample.
Args:
guid: Unique id for the example.
text_a: string. The untokenized text of the first sequence. For single
sequence tasks, only this sequence must be specified.
text_b: (Optional) string. The untokenized text of the second sequence.
Only must be specified for sequence pair tasks.
label: (Optional) string. The label of the example. This should be
specified for train and dev examples, but not for test examples.
"""
self.guid = guid
self.text_a = text_a
self.text_b = text_b
self.label = label
class InputFeatures(object):
"""A single set of features of data."""
def __init__(self, input_ids, input_mask, segment_ids,
mask_ids=None, mask_positions=None, input_tokens=None):
self.input_ids = input_ids
self.input_mask = input_mask
self.input_tokens = input_tokens
self.segment_ids = segment_ids
self.mask_ids = mask_ids
self.mask_positions = mask_positions
def read_lm_examples(input_file):
"""Read a list of `InputExample`s from an input file."""
examples = []
unique_id = 0
with open(input_file, "r", encoding='utf-8') as reader:
while True:
line = reader.readline()
if not line:
break
line = line.strip()
text_a = None
text_b = None
m = re.match(r"^(.*) \|\|\| (.*)$", line)
if m is None:
text_a = line
else:
text_a = m.group(1)
text_b = m.group(2)
examples.append(
InputExample(guid=unique_id, text_a=text_a, text_b=text_b))
unique_id += 1
return examples
def read_lm_sentence(sentence):
"""Read a list of `InputExample`s from an input line."""
examples = []
unique_id = 0
line = sentence.strip()
if line:
text_a = None
text_b = None
m = re.match(r"^(.*) \|\|\| (.*)$", line)
if m is None:
text_a = line
else:
text_a = m.group(1)
text_b = m.group(2)
examples.append(
InputExample(guid=unique_id, text_a=text_a, text_b=text_b))
unique_id += 1
return examples
def _truncate_seq_pair(tokens_a, tokens_b, max_length):
"""Truncates a sequence pair in place to the maximum length."""
# This is a simple heuristic which will always truncate the longer sequence
# one token at a time. This makes more sense than truncating an equal percent
# of tokens from each, since if one sequence is very short then each token
# that's truncated likely contains more information than a longer sequence.
while True:
total_length = len(tokens_a) + len(tokens_b)
if total_length <= max_length:
break
if len(tokens_a) > len(tokens_b):
tokens_a.pop()
else:
tokens_b.pop()
def is_subtoken(x):
return x.startswith("##")
def create_masked_lm_prediction(input_ids, mask_position, mask_count=1, mask_id=103):
new_input_ids = list(input_ids)
masked_lm_labels = []
masked_lm_positions = list(range(mask_position, mask_position + mask_count))
for i in masked_lm_positions:
new_input_ids[i] = mask_id
masked_lm_labels.append(input_ids[i])
return new_input_ids, masked_lm_positions, masked_lm_labels
def create_sequential_mask(input_tokens, input_ids, input_mask, segment_ids, mask_id=103, tokenizer=None):
"""Mask each token/word sequentially"""
features = []
i = 1
while i < len(input_tokens) - 1:
mask_count = 1
while is_subtoken(input_tokens[i + mask_count]):
mask_count += 1
input_ids_new, masked_lm_positions, masked_lm_labels = create_masked_lm_prediction(input_ids, i, mask_count,
mask_id)
feature = InputFeatures(
input_ids=input_ids_new,
input_mask=input_mask,
segment_ids=segment_ids,
mask_ids=masked_lm_labels,
mask_positions=masked_lm_positions,
input_tokens=tokenizer.convert_ids_to_tokens(input_ids_new))
features.append(feature)
i += mask_count
return features
def convert_examples_to_features(examples, tokenizer, max_seq_length,
mask_token='[MASK]', mask_id=103):
"""Loads a data file into a list of `InputBatch`s."""
features = []
all_features = []
all_tokens = []
for (example_index, example) in enumerate(examples):
tokens_a = tokenizer.tokenize(example.text_a)
tokens_b = None
if example.text_b:
tokens_b = tokenizer.tokenize(example.text_b)
# The -3 accounts for [CLS], [SEP] and [SEP]
_truncate_seq_pair(tokens_a, tokens_b, max_seq_length - 3)
else:
# "-2" is [CLS] and [SEP]
if len(tokens_a) > max_seq_length - 2:
tokens_a = tokens_a[:(max_seq_length - 2)]
# The convention in BERT is:
# (a) For sequence pairs:
# tokens: [CLS] is this jack ##son ##ville ? [SEP] no it is not . [SEP]
# type_ids: 0 0 0 0 0 0 0 0 1 1 1 1 1 1
# (b) For single sequences:
# tokens: [CLS] the dog is hairy . [SEP]
# type_ids: 0 0 0 0 0 0 0
#
# Where "type_ids" are used to indicate whether this is the first
# sequence or the second sequence. The embedding vectors for `type=0` and
# `type=1` were learned during pre-training and are added to the wordpiece
# embedding vector (and position vector). This is not *strictly* necessary
# since the [SEP] token unambigiously separates the sequences, but it makes
# it easier for the model to learn the concept of sequences.
#
# For classification tasks, the first vector (corresponding to [CLS]) is
# used as as the "sentence vector". Note that this only makes sense because
# the entire model is fine-tuned.
tokens_a = [i.replace('*', mask_token) for i in tokens_a]
tokens = ["[CLS]"] + tokens_a + ["[SEP]"]
segment_ids = [0] * len(tokens)
if tokens_b:
tokens_b = [i.replace('*', '[MASK]') for i in tokens_b]
tokens += tokens_b + ["[SEP]"]
segment_ids += [1] * (len(tokens_b) + 1)
input_ids = tokenizer.convert_tokens_to_ids(tokens)
mask_positions = [i for i, v in enumerate(input_ids) if v == mask_id]
# The mask has 1 for real tokens and 0 for padding tokens. Only real
# tokens are attended to.
input_mask = [1] * len(input_ids)
# Zero-pad up to the sequence length.
padding = [0] * (max_seq_length - len(input_ids))
input_ids += padding
input_mask += padding
segment_ids += padding
assert len(input_ids) == max_seq_length
assert len(input_mask) == max_seq_length
assert len(segment_ids) == max_seq_length
if example_index < 5:
logger.info("*** Example ***")
logger.info("example_index: %s" % (example_index))
logger.info("guid: %s" % (example.guid))
logger.info("tokens: %s" % " ".join(
[str(x) for x in tokens]))
logger.info("input_ids: %s" % " ".join([str(x) for x in input_ids]))
logger.info("input_mask: %s" % " ".join([str(x) for x in input_mask]))
logger.info("segment_ids: %s" % " ".join([str(x) for x in segment_ids]))
features.append(
InputFeatures(input_ids=input_ids,
input_mask=input_mask,
mask_positions=mask_positions,
segment_ids=segment_ids,
input_tokens=tokens))
# Mask each word
# features = create_sequential_mask(tokens, input_ids, input_mask, segment_ids, mask_id, tokenizer)
# all_features.extend(features)
# all_tokens.extend(tokens)
# return all_features, all_tokens
return features
def main():
parser = argparse.ArgumentParser()
# Required parameters
parser.add_argument("--bert_model_dir", default='../data/bert_models/chinese_finetuned_lm/',
type=str,
help="Bert pre-trained model config dir")
parser.add_argument("--bert_model_vocab", default='../data/bert_models/chinese_finetuned_lm/vocab.txt',
type=str,
help="Bert pre-trained model vocab path")
parser.add_argument("--output_dir", default="./output", type=str,
help="The output directory where the model checkpoints and predictions will be written.")
# Other parameters
parser.add_argument("--predict_file", default='../data/cn/lm_test_zh.txt', type=str,
help="for predictions.")
parser.add_argument("--max_seq_length", default=128, type=int,
help="The maximum total input sequence length after WordPiece tokenization. Sequences "
"longer than this will be truncated, and sequences shorter than this will be padded.")
parser.add_argument("--doc_stride", default=64, type=int,
help="When splitting up a long document into chunks, how much stride to take between chunks.")
parser.add_argument("--learning_rate", default=5e-5, type=float, help="The initial learning rate for Adam.")
parser.add_argument("--verbose_logging", default=False, action='store_true',
help="If true, all of the warnings related to data processing will be printed. "
"A number of warnings are expected for a normal SQuAD evaluation.")
parser.add_argument('--seed',
type=int,
default=42,
help="random seed for initialization")
args = parser.parse_args()
device = torch.device("cpu")
random.seed(args.seed)
np.random.seed(args.seed)
torch.manual_seed(args.seed)
if not os.path.exists(args.output_dir):
os.makedirs(args.output_dir)
tokenizer = BertTokenizer(args.bert_model_vocab)
MASK_ID = tokenizer.convert_tokens_to_ids([MASK_TOKEN])[0]
print('MASK_ID,', MASK_ID)
# Prepare model
model = BertForMaskedLM.from_pretrained(args.bert_model_dir)
# Save a trained model
model_to_save = model.module if hasattr(model, 'module') else model # Only save the model it-self
output_model_file = os.path.join(args.output_dir, "pytorch_model.bin")
if not os.path.exists(output_model_file):
torch.save(model_to_save.state_dict(), output_model_file)
# Load a trained model that you have fine-tuned
model_state_dict = torch.load(output_model_file)
model.to(device)
# Tokenized input
text = "吸烟的人容易得癌症"
tokenized_text = tokenizer.tokenize(text)
print(text, '=>', tokenized_text)
# Mask a token that we will try to predict back with `BertForMaskedLM`
masked_index = 8
tokenized_text[masked_index] = '[MASK]'
# Convert token to vocabulary indices
indexed_tokens = tokenizer.convert_tokens_to_ids(tokenized_text)
# Define sentence A and B indices associated to 1st and 2nd sentences (see paper)
segments_ids = [0, 0, 0, 0, 0, 0, 0, 0, 0]
# Convert inputs to PyTorch tensors
print('tokens, segments_ids:', indexed_tokens, segments_ids)
tokens_tensor = torch.tensor([indexed_tokens])
segments_tensors = torch.tensor([segments_ids])
# Load pre-trained model (weights)
model.eval()
# Predict all tokens
predictions = model(tokens_tensor, segments_tensors)
predicted_index = torch.argmax(predictions[0, masked_index]).item()
print(predicted_index)
predicted_token = tokenizer.convert_ids_to_tokens([predicted_index])[0]
print(predicted_token)
# infer one line end
# predict ppl and prob of each word
text = "吸烟的人容易得癌症"
tokenized_text = tokenizer.tokenize(text)
indexed_tokens = tokenizer.convert_tokens_to_ids(tokenized_text)
# Define sentence A and B indices associated to 1st and 2nd sentences (see paper)
segments_ids = [0, 0, 0, 0, 0, 0, 0, 0, 0]
tokens_tensor = torch.tensor([indexed_tokens])
segments_tensors = torch.tensor([segments_ids])
sentence_loss = 0.0
sentence_count = 0
for idx, label in enumerate(text):
print(label)
label_id = tokenizer.convert_tokens_to_ids([label])[0]
lm_labels = [-1, -1, -1, -1, -1, -1, -1, -1, -1]
if idx != 0:
lm_labels[idx] = label_id
if idx == 1:
lm_labels = indexed_tokens
print(lm_labels)
masked_lm_labels = torch.tensor([lm_labels])
# Predict all tokens
loss = model(tokens_tensor, segments_tensors, masked_lm_labels=masked_lm_labels)
print('loss:', loss)
prob = float(np.exp(-loss.item()))
print('prob:', prob)
sentence_loss += prob
sentence_count += 1
ppl = float(np.exp(sentence_loss / sentence_count))
print('ppl:', ppl)
# confirm we were able to predict 'henson'
# infer each word with mask one
text = "吸烟的人容易得癌症"
for masked_index, label in enumerate(text):
tokenized_text = tokenizer.tokenize(text)
print(text, '=>', tokenized_text)
tokenized_text[masked_index] = '[MASK]'
print(tokenized_text)
# Convert token to vocabulary indices
indexed_tokens = tokenizer.convert_tokens_to_ids(tokenized_text)
tokens_tensor = torch.tensor([indexed_tokens])
segments_tensors = torch.tensor([segments_ids])
predictions = model(tokens_tensor, segments_tensors)
print('expected label:', label)
predicted_index = torch.argmax(predictions[0, masked_index]).item()
predicted_token = tokenizer.convert_ids_to_tokens([predicted_index])[0]
print('predict label:', predicted_token)
scores = predictions[0, masked_index]
# predicted_index = torch.argmax(scores).item()
top_scores = torch.sort(scores, 0, True)
top_score_val = top_scores[0][:5]
top_score_idx = top_scores[1][:5]
for j in range(len(top_score_idx)):
print('Mask predict is:', tokenizer.convert_ids_to_tokens([top_score_idx[j].item()])[0],
' prob:', top_score_val[j].item())
print()
if args.predict_file:
eval_examples = read_lm_examples(input_file=args.predict_file)
eval_features = convert_examples_to_features(
examples=eval_examples,
tokenizer=tokenizer,
max_seq_length=args.max_seq_length,
mask_token=MASK_TOKEN,
mask_id=MASK_ID)
logger.info("***** Running predictions *****")
logger.info(" Num orig examples = %d", len(eval_examples))
logger.info(" Num split examples = %d", len(eval_features))
logger.info("Start predict ...")
for f in eval_features:
input_ids = torch.tensor([f.input_ids])
segment_ids = torch.tensor([f.segment_ids])
predictions = model(input_ids, segment_ids)
# confirm we were able to predict 'henson'
mask_positions = f.mask_positions
if mask_positions:
for idx, i in enumerate(mask_positions):
if not i:
continue
scores = predictions[0, i]
# predicted_index = torch.argmax(scores).item()
top_scores = torch.sort(scores, 0, True)
top_score_val = top_scores[0][:5]
top_score_idx = top_scores[1][:5]
# predicted_prob = predictions[0, i][predicted_index].item()
# predicted_token = tokenizer.convert_ids_to_tokens([predicted_index])[0]
print('original text is:', f.input_tokens)
# print('Mask predict is:', predicted_token, ' prob:', predicted_prob)
for j in range(len(top_score_idx)):
print('Mask predict is:', tokenizer.convert_ids_to_tokens([top_score_idx[j].item()])[0],
' prob:', top_score_val[j].item())
if __name__ == "__main__":
main()
|
[
"507153809@qq.com"
] |
507153809@qq.com
|
0e61b44d530b816a0aa5513e650f5a85bfbc5a73
|
1c37f33a0031c4caee8a6bb5e7f748ff147f1d23
|
/product/migrations/0005_variationmanager.py
|
cdf85bd944d895afdbe4b679da2c219ddc2bdccf
|
[] |
no_license
|
fikocavit/e-commerce
|
34003821de7e58b8554acffe98f22958b072aea5
|
0ae07653042677e107cbe2da43ae247848a281da
|
refs/heads/master
| 2023-05-02T18:53:45.995674
| 2021-05-26T09:56:34
| 2021-05-26T09:56:34
| 368,474,647
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 462
|
py
|
# Generated by Django 3.1 on 2021-05-21 09:02
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('product', '0004_auto_20210521_0843'),
]
operations = [
migrations.CreateModel(
name='VariationManager',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
],
),
]
|
[
"firat.cavit@hotmail.com"
] |
firat.cavit@hotmail.com
|
2e02246308602c745a87fe2f038ce541667b86f6
|
6739f850c08414905a95d804f85acf3c61fad956
|
/pysimt/metrics/cer.py
|
5a44a017b743bc32cf872dca9cfdafc276c0bcac
|
[
"MIT"
] |
permissive
|
welvin21/pysimt
|
940eaaec340e3942fdfdebace2a640506459c6c6
|
6250b33dc518b3195da4fc9cc8d32ba7ada958c0
|
refs/heads/master
| 2023-09-04T18:27:14.294636
| 2021-10-17T15:35:33
| 2021-10-17T15:35:33
| 418,076,867
| 0
| 0
|
MIT
| 2021-10-17T09:21:02
| 2021-10-17T09:21:01
| null |
UTF-8
|
Python
| false
| false
| 2,109
|
py
|
"""Character error rate (CER)."""
from typing import Iterable, Union, Optional
import editdistance
from .metric import Metric
class CERScorer:
"""Computes the character error rate (CER) metric and returns a `Metric`
object.
Args:
refs: List of reference text files. Only the first one will be used
hyps: Either a string denoting the hypotheses' filename, or
a list that contains the hypotheses strings themselves
language: unused
lowercase: unused
"""
def compute(self, refs: Iterable[str],
hyps: Union[str, Iterable[str]],
language: Optional[str] = None,
lowercase: bool = False) -> Metric:
if isinstance(hyps, str):
# hyps is a file
hyp_sents = open(hyps).read().strip().split('\n')
elif isinstance(hyps, list):
hyp_sents = hyps
# refs is a list, take its first item
with open(refs[0]) as f:
ref_sents = f.read().strip().split('\n')
assert len(hyp_sents) == len(ref_sents), "CER: # of sentences does not match."
n_ref_chars = 0
n_ref_tokens = 0
dist_chars = 0
dist_tokens = 0
for hyp, ref in zip(hyp_sents, ref_sents):
hyp_chars = hyp.split(' ')
ref_chars = ref.split(' ')
n_ref_chars += len(ref_chars)
dist_chars += editdistance.eval(hyp_chars, ref_chars)
# Convert char-based sentences to token-based ones
hyp_tokens = hyp.replace(' ', '').replace('<s>', ' ').strip().split(' ')
ref_tokens = ref.replace(' ', '').replace('<s>', ' ').strip().split(' ')
n_ref_tokens += len(ref_tokens)
dist_tokens += editdistance.eval(hyp_tokens, ref_tokens)
cer = (100 * dist_chars) / n_ref_chars
wer = (100 * dist_tokens) / n_ref_tokens
verbose_score = "{:.3f}% (n_errors = {}, n_ref_chars = {}, WER = {:.3f}%)".format(
cer, dist_chars, n_ref_chars, wer)
return Metric('CER', cer, verbose_score, higher_better=False)
|
[
"ozancag@gmail.com"
] |
ozancag@gmail.com
|
4648638b49ed86db25fc2b2d037d25916a5b6282
|
92f057d40a83332983279d1b3902593e0540e2f5
|
/competitions/migrations/0001_initial.py
|
714aba3b90137f528d73c98c1873d51b9b5b796b
|
[] |
no_license
|
frmblanco/my-project
|
1a8e3e47d047f5283ebe4268a359b2e1499f184d
|
2e658b2c7060ae0ea75e351033248c04b5b3cebd
|
refs/heads/master
| 2021-07-20T08:43:31.759548
| 2017-10-24T08:24:24
| 2017-10-24T08:24:24
| 107,520,831
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 678
|
py
|
# -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2017-10-19 08:38
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Competition',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=200)),
('text', models.TextField()),
('pub_date', models.DateTimeField(blank=True, null=True)),
],
),
]
|
[
"francisco.blanco@opinno.com"
] |
francisco.blanco@opinno.com
|
f763e33920d9e9ed6b6427fa7aa3b468468add6b
|
ea8860ef1bde80ea7a9f087f67709918626c3220
|
/scrapyprojects/motube/motube/spiders/recursivetube.py
|
e0133cbe315cfa42d9247588324288c3a36bfb34
|
[] |
no_license
|
yorin/scripts
|
29db2d6d0737c508f9c16e0a04b820fc278e3733
|
100b18ec11861e42fcf8de2762d2f7ebe4d74e50
|
refs/heads/master
| 2020-06-04T00:36:18.592100
| 2019-05-15T13:16:22
| 2019-05-15T13:16:22
| 32,155,714
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 892
|
py
|
# -*- coding: utf-8 -*-
from scrapy.http import Request
from motube.items import MotubeItem
import scrapy
class RecursivetubeSpider(scrapy.Spider):
name = "recursivetube"
allowed_domains = ["youtube.com"]
start_urls = (
# 'http://www.youtube.com/',
'https://www.youtube.com/results?search_query=rush',
)
def start_requests(self):
for i in range(1,5):
yield Request('https://www.youtube.com/results?search_query=rush&page=' + str(i), self.parse_items)
print i
def parse_items(self, response):
sels = []
for sel in response.xpath('//div[@class="yt-lockup-content"]/h3[@class="yt-lockup-title"]'):
datafiles = MotubeItem()
datafiles["title"] = sel.xpath('a/@title').extract()
datafiles["url"] = sel.xpath('a/@href').extract()
sels.append(datafiles)
return sels
|
[
"werbyvillarino@gmail.com"
] |
werbyvillarino@gmail.com
|
2dc3ec4af49c857ff67a051334b7be5cbb9dd6ba
|
927b50cdaf1c384c8bbf6f13816d0ba465852fd8
|
/main/migrations/0002_auto_20201128_0813.py
|
f86867def1d360053603e5adf8c185ee104522d0
|
[
"MIT"
] |
permissive
|
jhabarsingh/DOCMED
|
f37d336483cffd874b0a7db43677c08a47bd639c
|
8a831886d3dd415020699491687fb73893e674c5
|
refs/heads/main
| 2023-04-26T06:45:10.409633
| 2021-05-19T14:37:53
| 2021-05-19T14:37:53
| 316,683,855
| 3
| 5
|
MIT
| 2021-02-21T13:32:33
| 2020-11-28T07:51:22
|
JavaScript
|
UTF-8
|
Python
| false
| false
| 1,061
|
py
|
# Generated by Django 2.0 on 2020-11-28 08:13
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('main', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='doctor',
name='blood_group',
field=models.CharField(blank=True, choices=[('A+', 'A+ Type'), ('A-', 'A- Type'), ('B+', 'B+ Type'), ('B-', 'B- Type'), ('AB+', 'AB+ Type'), ('AB+', 'AB- Type'), ('O+', 'O+ Type'), ('O-', 'O- Type')], max_length=3, null=True),
),
migrations.AlterField(
model_name='doctor',
name='is_working',
field=models.NullBooleanField(),
),
migrations.AlterField(
model_name='patient',
name='blood_group',
field=models.CharField(blank=True, choices=[('A+', 'A+ Type'), ('A-', 'A- Type'), ('B+', 'B+ Type'), ('B-', 'B- Type'), ('AB+', 'AB+ Type'), ('AB+', 'AB- Type'), ('O+', 'O+ Type'), ('O-', 'O- Type')], max_length=4, null=True),
),
]
|
[
"jhabarsinghbhati23@gmail.com"
] |
jhabarsinghbhati23@gmail.com
|
f0058d3d6a1df1097582e384bb22a5d06725cbb7
|
de24f83a5e3768a2638ebcf13cbe717e75740168
|
/moodledata/vpl_data/467/usersdata/282/111931/submittedfiles/Av2_Parte2.py
|
f4d68cd5e055d09012f4f459c82a6e8816d004ca
|
[] |
no_license
|
rafaelperazzo/programacao-web
|
95643423a35c44613b0f64bed05bd34780fe2436
|
170dd5440afb9ee68a973f3de13a99aa4c735d79
|
refs/heads/master
| 2021-01-12T14:06:25.773146
| 2017-12-22T16:05:45
| 2017-12-22T16:05:45
| 69,566,344
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 141
|
py
|
# -*- coding: utf-8 -*-
a=[]
qa=int(input('Digite o numero de elementos de a: '))
b=[]
qb=int(input('Digite o numero de elementos de b: '))
|
[
"rafael.mota@ufca.edu.br"
] |
rafael.mota@ufca.edu.br
|
1c4458211f04b61d65360a91f24938a79f071603
|
ac5e52a3fc52dde58d208746cddabef2e378119e
|
/exps-gsn-edf/gsn-edf_ut=2.0_rd=0.5_rw=0.04_rn=4_u=0.075-0.35_p=harmonic-2/sched=RUN_trial=43/params.py
|
0c4e8626f8dbb25ae1a1eaa2f0fe59307cd289fe
|
[] |
no_license
|
ricardobtxr/experiment-scripts
|
1e2abfcd94fb0ef5a56c5d7dffddfe814752eef1
|
7bcebff7ac2f2822423f211f1162cd017a18babb
|
refs/heads/master
| 2023-04-09T02:37:41.466794
| 2021-04-25T03:27:16
| 2021-04-25T03:27:16
| 358,926,457
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 254
|
py
|
{'cpus': 4,
'duration': 30,
'final_util': '2.017881',
'max_util': '2.0',
'periods': 'harmonic-2',
'release_master': False,
'res_distr': '0.5',
'res_nmb': '4',
'res_weight': '0.04',
'scheduler': 'GSN-EDF',
'trial': 43,
'utils': 'uni-medium-3'}
|
[
"ricardo.btxr@gmail.com"
] |
ricardo.btxr@gmail.com
|
494c54dfc73428bb8c69d8883fe9c32c72090571
|
1d4f00932367743c48b26ebf000fab5fdec48495
|
/django_leve_five/settings.py
|
d0c8f66648eb1e3897732959b5ce6850a4b7d27b
|
[] |
no_license
|
sabrina0331/django-deployment-ex
|
d53c723349c8782aca241199a53dd1a41fbb0194
|
5bac965d1af8898994edb582e905f59fe5f7db12
|
refs/heads/master
| 2020-09-14T22:16:43.413517
| 2019-11-21T22:16:00
| 2019-11-21T22:16:00
| 223,275,128
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 3,769
|
py
|
"""
Django settings for django_leve_five project.
Generated by 'django-admin startproject' using Django 1.10.
For more information on this file, see
https://docs.djangoproject.com/en/1.10/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.10/ref/settings/
"""
import os
# Build paths inside the project like this: os.path.join(BASE_DIR, ...)
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
TEMPLATE_DIR = os.path.join(BASE_DIR,'templates')
STATIC_DIR = os.path.join(BASE_DIR,'static')
MEDIA_DIR = os.path.join(BASE_DIR,'media')
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/1.10/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = '7jr*wvw*=jex8gd2cr16^-w#*#2+o(k8$rk36-!y(f1^i_*q_p'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'basic_app',
'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.messages',
'django.contrib.staticfiles',
]
MIDDLEWARE = [
'django.middleware.security.SecurityMiddleware',
'django.contrib.sessions.middleware.SessionMiddleware',
'django.middleware.common.CommonMiddleware',
'django.middleware.csrf.CsrfViewMiddleware',
'django.contrib.auth.middleware.AuthenticationMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
'django.middleware.clickjacking.XFrameOptionsMiddleware',
]
ROOT_URLCONF = 'django_leve_five.urls'
TEMPLATES = [
{
'BACKEND': 'django.template.backends.django.DjangoTemplates',
'DIRS': [TEMPLATE_DIR,],
'APP_DIRS': True,
'OPTIONS': {
'context_processors': [
'django.template.context_processors.debug',
'django.template.context_processors.request',
'django.contrib.auth.context_processors.auth',
'django.contrib.messages.context_processors.messages',
],
},
},
]
WSGI_APPLICATION = 'django_leve_five.wsgi.application'
# Database
# https://docs.djangoproject.com/en/1.10/ref/settings/#databases
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': os.path.join(BASE_DIR, 'db.sqlite3'),
}
}
# Password validation
# https://docs.djangoproject.com/en/1.10/ref/settings/#auth-password-validators
PASSWORD_HASHERS = [
'django.contrib.auth.hashers.PBKDF2PasswordHasher',
'django.contrib.auth.hashers.PBKDF2SHA1PasswordHasher',
'django.contrib.auth.hashers.Argon2PasswordHasher',
'django.contrib.auth.hashers.BCryptSHA256PasswordHasher',
'django.contrib.auth.hashers.BCryptPasswordHasher',
]
AUTH_PASSWORD_VALIDATORS = [
{
'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator',
'OPTIONS':{'min_length':9}
},
{
'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator',
},
{
'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator',
},
]
# Internationalization
# https://docs.djangoproject.com/en/1.10/topics/i18n/
LANGUAGE_CODE = 'en-us'
TIME_ZONE = 'UTC'
USE_I18N = True
USE_L10N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/1.10/howto/static-files/
STATIC_URL = '/static/'
STATICFILES_DIRS = [STATIC_DIR,]
#media
MEDIA_ROOT = MEDIA_DIR
MEDIA_URL = '/media/'
#login
LOGIN_URL = '/basic_app/user_login'
|
[
"sabrina20520@gmail.com"
] |
sabrina20520@gmail.com
|
ae4cc4603c1a22255a40e5fe082d194ec34583d6
|
23c8baaec2c190c1e9c818485a720f7e2c77a79f
|
/Array/334.py
|
7afbcb861e5c5223e7d7b99ca1fda015325dfd55
|
[] |
no_license
|
ViVaHa/Leetcode
|
ca5bc3f157b7802b68d47fe001b0adaa605eb792
|
9e4d39576633a83a5e647cfa3ea62ce4e840e642
|
refs/heads/master
| 2020-03-22T20:25:31.755179
| 2018-11-22T17:52:35
| 2018-11-22T17:52:35
| 140,598,785
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 423
|
py
|
class Solution:
def increasingTriplet(self, nums):
"""
:type nums: List[int]
:rtype: bool
"""
if len(nums)==0:
return False
m1=sys.maxsize
m2=sys.maxsize
for num in nums:
if num<=m1:
m1=num
elif num<=m2:
m2=num
else:
return True
return False
|
[
"varshath@Vishnus-MBP.fios-router.home"
] |
varshath@Vishnus-MBP.fios-router.home
|
487f7f1a66033de858a171cdecf6bc646c75145e
|
35ec90ff2b7c22cd67ff5ef35381f8beb49c5ce4
|
/venv/lib/python2.7/abc.py
|
f85089e6de1967d796cf1235936822db08ee4e82
|
[] |
no_license
|
xiawei918/driplet
|
518ad11290b0d2a9b2f4c96bbab4a1ac38edb724
|
46329631cf82ccf404278ba7d73cf73497486234
|
refs/heads/master
| 2023-06-21T11:29:52.006897
| 2023-06-17T04:42:52
| 2023-06-17T04:42:52
| 178,310,764
| 0
| 1
| null | 2019-03-29T14:54:03
| 2019-03-29T01:38:59
|
Python
|
UTF-8
|
Python
| false
| false
| 43
|
py
|
/Users/weixia/anaconda/lib/python2.7/abc.py
|
[
"weixia@WEIs-MacBook-Pro.local"
] |
weixia@WEIs-MacBook-Pro.local
|
68b6abf0c1278b35d7a549089e37e1033e234db4
|
897cc05268f904f3b2faa2f08201087436ac72ab
|
/Messenger/Developers/venv/bin/django-admin
|
3a5a01fe363b45db3f74b7c2348ba83ad86f3aec
|
[] |
no_license
|
alexkim1218/CSE442-Developers
|
513a76ac794b5863bd26beb50f1bde495eae2b08
|
2e027003fcf6c7f5cb4a42fcbed0b3f9b85d2ab3
|
refs/heads/master
| 2020-05-17T10:35:04.993192
| 2018-12-03T16:57:59
| 2018-12-03T16:57:59
| 183,660,437
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 313
|
#!/Users/HuangweiDing/PycharmProjects/Developers/venv/bin/python
# -*- coding: utf-8 -*-
import re
import sys
from django.core.management import execute_from_command_line
if __name__ == '__main__':
sys.argv[0] = re.sub(r'(-script\.pyw?|\.exe)?$', '', sys.argv[0])
sys.exit(execute_from_command_line())
|
[
"seyaduab@buffalo.edu"
] |
seyaduab@buffalo.edu
|
|
2c3a1f89467d4632951f38ea7f7fe18fe7d23094
|
286f95d4a0b2b0e082a92a4361ad3f6513705943
|
/functional-programming/map.py
|
dce4c4e09c2de4b1e4bfb2e6fa4afc63aef5ce02
|
[] |
no_license
|
flashjaysan/python-projects
|
5aafffba313d308def867b33e4ebb95152672780
|
a95b24a083d50f376a808d846f42751622ac2274
|
refs/heads/main
| 2023-06-11T17:42:49.205624
| 2021-06-22T16:04:40
| 2021-06-22T16:04:40
| 362,723,330
| 0
| 2
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,039
|
py
|
import collections
Scientist = collections.namedtuple('Scientist', ['name', 'field', 'born', 'nobel'])
scientists = (
Scientist(name='Ada Lovelace', field='math', born=1815, nobel=False),
Scientist(name='Emmy Noether', field='math', born=1882, nobel=False),
Scientist(name='Marie Curie', field='physics', born=1867, nobel=True),
Scientist(name='Tu Youyou', field='chemistry', born=1930, nobel=True),
Scientist(name='Ada Yonath', field='chemistry', born=1939, nobel=True),
Scientist(name='Vera Rubin', field='astronomy', born=1928, nobel=False),
Scientist(name='Sally Ride', field='physics', born=1951, nobel=False),
)
# crée un iterator qui applique la fonction à chaque élément de l'iterable
scientists_name_and_age = map(lambda scientist: (scientist.name, 2021 - scientist.born), scientists)
# utilise l'iterator pour afficher chaque nouvel élément généré
for scientist in scientists_name_and_age:
print(scientist)
print(next(scientists_name_and_age)) # provoque une exception StopITeration
|
[
"jaysan@wanadoo.fr"
] |
jaysan@wanadoo.fr
|
d91951bb7e3d019589001109b06f2d1214f43ea3
|
fa4401ec3a3e6077566c5e142567172cd2232b71
|
/sg2/game1.py
|
a529c3ec3a0eaaf506b09bc868d2d0903acf9f80
|
[] |
no_license
|
wizardkeven/SeriousGameV2
|
c5eb2591a6a158aec52b641b7885d31cf53ae73c
|
deae6e8c6b70487ff66c9c1e4d61321ed33f450d
|
refs/heads/master
| 2021-01-19T11:05:22.818776
| 2015-04-07T23:05:18
| 2015-04-07T23:05:18
| 29,533,780
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 1,832
|
py
|
from kivy.app import App
from kivy.uix.widget import Widget
from kivy.clock import Clock
from kivy.core.audio import SoundLoader
import time
class Object(Widget):
"""Class which represent the object on the screen
"""
def on_touch_move(self, touch):
"""Function called when the object is moved
:param touch: finger on the screen
"""
if touch.grab_current is self:
self.center_x = touch.x
self.center_y = touch.y
def on_touch_down(self, touch):
"""Function called when the object is pressed
:param touch: finger on the screen
"""
if self.collide_point(*touch.pos):
if touch.is_double_tap:
sound = SoundLoader.load(self.text)
sound.play()
return;
self.opacity = 0.2
touch.grab(self)
return True
def on_touch_up(self, touch):
"""Function called when the object is released
:param touch: finger on the screen
"""
if touch.grab_current is self:
self.center_x = touch.x
self.center_y = touch.y
self.opacity = 1
touch.ungrab(self)
return True
class Game1(Widget):
"""Class to manage the game itself
"""
def update(self, dt):
"""Game loop
:param dt: time between two calls
"""
pass
def on_winning(self, touch):
pass
class Game1App(App):
"""Class to launch the game 1
"""
def build(self):
"""Function which constructs the game
"""
game = Game1()
Clock.schedule_interval(game.update, 1.0 / 60.0)
return game
if __name__ == '__main__':
Game1App().run()
|
[
"wizardkeven@live.com"
] |
wizardkeven@live.com
|
c02607f0370710a5f23cb44e48f0bff1b7cdeaaf
|
fc74436ab3e11ba2978ebb81600dcd3799a74d1f
|
/lstm_based_seq_2_seq/alad_seq2seq.py
|
fa019e23d362ca3df50f06ee529e7350ed98120f
|
[] |
no_license
|
vrahul1997/nlp_from_scratch
|
f119d8736edbf81474d4916eba6d87de8d73a936
|
08984d7a3900419995df0bd0e99ab4794a7f54dc
|
refs/heads/main
| 2023-02-16T22:04:26.678253
| 2021-01-07T13:04:38
| 2021-01-07T13:04:38
| 314,092,477
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 7,947
|
py
|
import torch
import torch.nn as nn
import torch.optim as optim
from torchtext.datasets import Multi30k
from torchtext.data import Field, BucketIterator
import numpy as np
import spacy
import random
from torch.utils.tensorboard import SummaryWriter # to print to tensorboard
from utils import translate_sentence, bleu, save_checkpoint, load_checkpoint
spacy_ger = spacy.load("de")
spacy_eng = spacy.load("en")
def tokenize_ger(text):
return [tok.text for tok in spacy_ger.tokenizer(text)]
def tokenize_eng(text):
return [tok.text for tok in spacy_eng.tokenizer(text)]
german = Field(tokenize=tokenize_ger, lower=True, init_token="<sos>", eos_token="<eos>")
english = Field(
tokenize=tokenize_eng, lower=True, init_token="<sos>", eos_token="<eos>"
)
train_data, valid_data, test_data = Multi30k.splits(
exts=(".de", ".en"), fields=(german, english)
)
german.build_vocab(train_data, max_size=10000, min_freq=2)
english.build_vocab(train_data, max_size=10000, min_freq=2)
class Encoder(nn.Module):
def __init__(self, input_size, embedding_size, hidden_size, num_layers, p):
super(Encoder, self).__init__()
self.dropout = nn.Dropout(p)
self.hidden_size = hidden_size
self.num_layers = num_layers
self.embedding = nn.Embedding(input_size, embedding_size)
self.rnn = nn.LSTM(embedding_size, hidden_size, num_layers, dropout=p)
def forward(self, x):
# x shape: (seq_length, N) where N is batch size
embedding = self.dropout(self.embedding(x))
# embedding shape: (seq_length, N, embedding_size)
outputs, (hidden, cell) = self.rnn(embedding)
# outputs shape: (seq_length, N, hidden_size)
return hidden, cell
class Decoder(nn.Module):
def __init__(
self, input_size, embedding_size, hidden_size, output_size, num_layers, p
):
super(Decoder, self).__init__()
self.dropout = nn.Dropout(p)
self.hidden_size = hidden_size
self.num_layers = num_layers
self.embedding = nn.Embedding(input_size, embedding_size)
self.rnn = nn.LSTM(embedding_size, hidden_size, num_layers, dropout=p)
self.fc = nn.Linear(hidden_size, output_size)
def forward(self, x, hidden, cell):
# x shape: (N) where N is for batch size, we want it to be (1, N), seq_length
# is 1 here because we are sending in a single word and not a sentence
x = x.unsqueeze(0)
embedding = self.dropout(self.embedding(x))
# embedding shape: (1, N, embedding_size)
outputs, (hidden, cell) = self.rnn(embedding, (hidden, cell))
# outputs shape: (1, N, hidden_size)
predictions = self.fc(outputs)
# predictions shape: (1, N, length_target_vocabulary) to send it to
# loss function we want it to be (N, length_target_vocabulary) so we're
# just gonna remove the first dim
predictions = predictions.squeeze(0)
return predictions, hidden, cell
class Seq2Seq(nn.Module):
def __init__(self, encoder, decoder):
super(Seq2Seq, self).__init__()
self.encoder = encoder
self.decoder = decoder
def forward(self, source, target, teacher_force_ratio=0.5):
batch_size = source.shape[1]
target_len = target.shape[0]
target_vocab_size = len(english.vocab)
outputs = torch.zeros(target_len, batch_size, target_vocab_size).to(device)
hidden, cell = self.encoder(source)
# Grab the first input to the Decoder which will be <SOS> token
x = target[0]
for t in range(1, target_len):
# Use previous hidden, cell as context from encoder at start
output, hidden, cell = self.decoder(x, hidden, cell)
# Store next output prediction
outputs[t] = output
# Get the best word the Decoder predicted (index in the vocabulary)
best_guess = output.argmax(1)
# With probability of teacher_force_ratio we take the actual next word
# otherwise we take the word that the Decoder predicted it to be.
# Teacher Forcing is used so that the model gets used to seeing
# similar inputs at training and testing time, if teacher forcing is 1
# then inputs at test time might be completely different than what the
# network is used to. This was a long comment.
x = target[t] if random.random() < teacher_force_ratio else best_guess
return outputs
### We're ready to define everything we need for training our Seq2Seq model ###
# Training hyperparameters
num_epochs = 100
learning_rate = 0.001
batch_size = 64
# Model hyperparameters
load_model = False
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
input_size_encoder = len(german.vocab)
input_size_decoder = len(english.vocab)
output_size = len(english.vocab)
encoder_embedding_size = 300
decoder_embedding_size = 300
hidden_size = 1024 # Needs to be the same for both RNN's
num_layers = 2
enc_dropout = 0.5
dec_dropout = 0.5
# Tensorboard to get nice loss plot
writer = SummaryWriter(f"runs/loss_plot")
step = 0
train_iterator, valid_iterator, test_iterator = BucketIterator.splits(
(train_data, valid_data, test_data),
batch_size=batch_size,
sort_within_batch=True,
sort_key=lambda x: len(x.src),
device=device,
)
encoder_net = Encoder(
input_size_encoder, encoder_embedding_size, hidden_size, num_layers, enc_dropout
).to(device)
decoder_net = Decoder(
input_size_decoder,
decoder_embedding_size,
hidden_size,
output_size,
num_layers,
dec_dropout,
).to(device)
model = Seq2Seq(encoder_net, decoder_net).to(device)
optimizer = optim.Adam(model.parameters(), lr=learning_rate)
pad_idx = english.vocab.stoi["<pad>"]
criterion = nn.CrossEntropyLoss(ignore_index=pad_idx)
if load_model:
load_checkpoint(torch.load("my_checkpoint.pth.tar"), model, optimizer)
sentence = "ein boot mit mehreren männern darauf wird von einem großen pferdegespann ans ufer gezogen."
for epoch in range(num_epochs):
print(f"[Epoch {epoch} / {num_epochs}]")
checkpoint = {"state_dict": model.state_dict(), "optimizer": optimizer.state_dict()}
save_checkpoint(checkpoint, filename="alad_my_checkpoint.pth.tar")
model.eval()
translated_sentence = translate_sentence(
model, sentence, german, english, device, max_length=50
)
print(f"Translated example sentence: \n {translated_sentence}")
model.train()
for batch_idx, batch in enumerate(train_iterator):
# Get input and targets and get to cuda
inp_data = batch.src.to(device)
target = batch.trg.to(device)
# Forward prop
output = model(inp_data, target)
# Output is of shape (trg_len, batch_size, output_dim) but Cross Entropy Loss
# doesn't take input in that form. For example if we have MNIST we want to have
# output to be: (N, 10) and targets just (N). Here we can view it in a similar
# way that we have output_words * batch_size that we want to send in into
# our cost function, so we need to do some reshapin. While we're at it
# Let's also remove the start token while we're at it
output = output[1:].reshape(-1, output.shape[2])
target = target[1:].reshape(-1)
optimizer.zero_grad()
loss = criterion(output, target)
# Back prop
loss.backward()
# Clip to avoid exploding gradient issues, makes sure grads are
# within a healthy range
torch.nn.utils.clip_grad_norm_(model.parameters(), max_norm=1)
# Gradient descent step
optimizer.step()
# Plot to tensorboard
writer.add_scalar("Training loss", loss, global_step=step)
step += 1
score = bleu(test_data[1:100], model, german, english, device)
print(f"Bleu score {score*100:.2f}")
|
[
"vijayvenu1997@gmail.com"
] |
vijayvenu1997@gmail.com
|
a83b8b621ccdb7c4edbf4359733bf2099d221fe7
|
b0eaa5f11441ae24432e57225cfb7906857ee172
|
/auth-service-2/venv/lib/python3.6/imp.py
|
82ba4f7f3d9967dff13a174e94b08e49c593e914
|
[] |
no_license
|
Anyungu/flask-msa
|
86bf64631b548a5407b36546a6e46ae415a44b76
|
1126fe6ea016ad5772695079b074f549aea3948d
|
refs/heads/master
| 2023-01-24T16:09:52.088877
| 2020-08-18T14:03:57
| 2020-08-18T14:03:57
| 285,810,522
| 0
| 1
| null | 2020-08-18T14:03:59
| 2020-08-07T11:15:03
|
Python
|
UTF-8
|
Python
| false
| false
| 44
|
py
|
/home/namrehs/anaconda3/lib/python3.6/imp.py
|
[
"anyungucw@gmail.com"
] |
anyungucw@gmail.com
|
0041805ec3ee73af537e19673e3b48a1208a44fa
|
78604a99d488889e2932ed713b209d19178f2c95
|
/src/models/pieces/strategies/move_strategy.py
|
4aa8cc683e5fef4b330c6acbbba96a628e1bdf27
|
[] |
no_license
|
AdnanZahid/Chess_Neural_Networks_With_Python_Chess
|
8173706cf97fcf818dc0049054a81659d3346274
|
c4d760bed1951bda24c84ed0681b9ca3820550e1
|
refs/heads/master
| 2021-01-24T04:19:59.626876
| 2018-02-26T07:37:30
| 2018-02-26T07:37:30
| 122,931,577
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 730
|
py
|
# This class manages mobility and list of moves for a piece
class MoveStrategy:
def __init__(self,piece,color,directionsList,board):
self.piece = piece
self.color = color
self.directionsList = directionsList
self.board = board
def getMobility(self,position):
return len(generateAllMoves(position))
def generateAllMoves(self):
possibleMovesToSquaresList = []
if self.color == self.board.currentTurnColor:
for direction in self.directionsList:
possibleMovesToSquaresList.extend(self.generateMove(self.piece.position,direction))
return possibleMovesToSquaresList
|
[
"adnaan.zaahid@gmail.com"
] |
adnaan.zaahid@gmail.com
|
1d630546bb190a52d8d5854bcb6b460288e43877
|
ffc224baf2393bc6a5d0c24eebd5da689bbfafe1
|
/ass2ex2.py
|
87ebbb883645591dc553aa7c7d4a7f8531b2351d
|
[] |
no_license
|
Ranjeth83/assignment-
|
dd84f4df9abe7a7b61f48626eab4c096516237d0
|
c1dc2cf8b03128b4a93a1b41ff69083f297f486b
|
refs/heads/master
| 2022-11-06T09:31:22.711445
| 2020-06-22T02:13:58
| 2020-06-22T02:13:58
| 273,515,018
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 42
|
py
|
val = input("enter your name:")
print(val)
|
[
"noreply@github.com"
] |
Ranjeth83.noreply@github.com
|
6cf262c45682d5fbf7ebdee95f242ab1457a8f85
|
b90444530bd7999168c6ea5e3c17657ae2a0b925
|
/test/functional/wallet_disable.py
|
c3b0df3627e134dcba7685e137121384d0aa298d
|
[
"MIT"
] |
permissive
|
Bitcoin3-source/Bitcoin3.0
|
4723d3db6fa2edc5734ab28dac87cf131bbcfe9e
|
4c623be5200032fd49b54e01147da721e142f4f2
|
refs/heads/main
| 2023-03-25T20:34:26.331459
| 2021-03-25T02:31:47
| 2021-03-25T02:31:47
| 343,466,598
| 0
| 3
|
MIT
| 2021-03-25T02:31:48
| 2021-03-01T15:36:34
| null |
UTF-8
|
Python
| false
| false
| 1,542
|
py
|
#!/usr/bin/env python3
# Copyright (c) 2015-2018 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test a node with the -disablewallet option.
- Test that validateaddress RPC works when running with -disablewallet
- Test that it is not possible to mine to an invalid address.
"""
from test_framework.test_framework import Bitcoin3TestFramework
from test_framework.util import assert_raises_rpc_error
class DisableWalletTest (Bitcoin3TestFramework):
def set_test_params(self):
self.setup_clean_chain = True
self.num_nodes = 1
self.extra_args = [["-disablewallet"]]
def run_test (self):
# Make sure wallet is really disabled
assert_raises_rpc_error(-32601, 'Method not found', self.nodes[0].getwalletinfo)
x = self.nodes[0].validateaddress('3J98t1WpEZ73CNmQviecrnyiWrnqRhWNLy')
assert(x['isvalid'] == False)
x = self.nodes[0].validateaddress('mneYUmWYsuk7kySiURxCi3AGxrAqZxLgPZ')
assert(x['isvalid'] == True)
# Checking mining to an address without a wallet. Generating to a valid address should succeed
# but generating to an invalid address will fail.
self.nodes[0].generatetoaddress(1, 'mneYUmWYsuk7kySiURxCi3AGxrAqZxLgPZ')
assert_raises_rpc_error(-5, "Invalid address", self.nodes[0].generatetoaddress, 1, '3J98t1WpEZ73CNmQviecrnyiWrnqRhWNLy')
if __name__ == '__main__':
DisableWalletTest ().main ()
|
[
"superdaddynz@gmail.com"
] |
superdaddynz@gmail.com
|
68038ebf4d1e402773f4dae40fcac9450c4c51bb
|
ce63cd114213a8debe7874d7904379cedc51ab65
|
/Utils/tflite_schema/CustomOptionsFormat.py
|
fbaad184b926a00a7bd4e4124a81aa07d8e0f60b
|
[
"Apache-2.0"
] |
permissive
|
sandeepkadiyam/HumanActivityRecognition-in-Bangle.js
|
4a901fa709e26f48813b17cc4ec31dfa13019e91
|
a174c080d9541d76f177b8655cd033be1d013ec1
|
refs/heads/main
| 2023-07-05T00:34:55.331509
| 2021-09-03T07:24:52
| 2021-09-03T07:24:52
| 389,747,734
| 1
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 154
|
py
|
# automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class CustomOptionsFormat(object):
FLEXBUFFERS = 0
|
[
"noreply@github.com"
] |
sandeepkadiyam.noreply@github.com
|
233ca755a7a06a8bb3b16af8bdf0e8b4b9d705fd
|
cdb92a30ff6e0fd12a782d91af915f4975c8bdce
|
/video.py
|
21b1947d5d8b30efce3fd68aa308b346cd6a4d2a
|
[] |
no_license
|
Ravenking7675/Screen-Sharing-using-PubSub-
|
0295b1b8f1bbbe2031bdb074be255e207a9b9f15
|
d3aba9cfe4bdc7db5b6d0fe960945f322cf42753
|
refs/heads/master
| 2022-12-06T18:02:54.371487
| 2020-09-04T08:26:21
| 2020-09-04T08:26:21
| 292,794,352
| 0
| 0
| null | null | null | null |
UTF-8
|
Python
| false
| false
| 57
|
py
|
from capture import capture_image
print(capture_image())
|
[
"superavinash2000gmail.com"
] |
superavinash2000gmail.com
|
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