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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ee9810945cb78a9a443045837c7812b7f3625fac | 53,609 | py | Python | investment_report/migrations/0001_initial.py | uktrade/pir-api | 79747ceab042c42c287e2b7471f6dade70f68693 | [
"MIT"
] | 1 | 2021-02-02T19:08:55.000Z | 2021-02-02T19:08:55.000Z | investment_report/migrations/0001_initial.py | uktrade/invest-pir-api | be56efddf9dfdf81c8557441a9a54d9a4dd4bab1 | [
"MIT"
] | 21 | 2018-07-10T10:20:47.000Z | 2022-03-24T09:36:29.000Z | investment_report/migrations/0001_initial.py | uktrade/pir-api | 79747ceab042c42c287e2b7471f6dade70f68693 | [
"MIT"
] | 1 | 2021-02-04T11:28:37.000Z | 2021-02-04T11:28:37.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.11 on 2018-04-25 15:54
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import markdownx.models
import sorl.thumbnail.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
('countries_plus', '0005_auto_20160224_1804'),
]
operations = [
migrations.CreateModel(
name='CallToAction',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
],
options={
'verbose_name': '15 - Call to action',
'verbose_name_plural': '15 - Call to action',
},
),
migrations.CreateModel(
name='Contact',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('title', models.CharField(max_length=255)),
('title_en', models.CharField(max_length=255, null=True)),
('title_de', models.CharField(max_length=255, null=True)),
('title_es', models.CharField(max_length=255, null=True)),
('title_fr', models.CharField(max_length=255, null=True)),
('title_pt', models.CharField(max_length=255, null=True)),
('title_ar', models.CharField(max_length=255, null=True)),
('title_ja', models.CharField(max_length=255, null=True)),
('title_zh_cn', models.CharField(max_length=255, null=True)),
('website', models.CharField(max_length=255)),
('email', models.CharField(max_length=255)),
('phone', models.CharField(max_length=255)),
('background_image', models.ImageField(upload_to='')),
],
options={
'verbose_name': '17 - Contact',
'verbose_name_plural': '17 - Contact',
},
),
migrations.CreateModel(
name='FrontPage',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('background_image', models.FileField(upload_to='')),
],
options={
'verbose_name': '0 - Front Page',
'verbose_name_plural': '0 - Front Page',
},
),
migrations.CreateModel(
name='KillerFacts',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
],
options={
'verbose_name': '2 - Killer Facts',
'verbose_name_plural': '2 - Killer Facts',
},
),
migrations.CreateModel(
name='MacroContextBetweenCountries',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
],
options={
'verbose_name': '3 - Macro Context',
'verbose_name_plural': '3 - Macro Context',
},
),
migrations.CreateModel(
name='Market',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255)),
('countries', models.ManyToManyField(to='countries_plus.Country')),
],
),
migrations.CreateModel(
name='MarketLogo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255)),
('image', sorl.thumbnail.fields.ImageField(upload_to='')),
('market', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='investment_report.Market')),
],
),
migrations.CreateModel(
name='NetworkAndSupport',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('background_image', models.ImageField(upload_to='')),
],
options={
'verbose_name': '9 - Network And Support',
'verbose_name_plural': '9 - Network And Support',
},
),
migrations.CreateModel(
name='RDandInnovation',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
],
options={
'verbose_name': '10 - R&D and Innovation',
'verbose_name_plural': '10 - R&D and Innovation',
},
),
migrations.CreateModel(
name='RDandInnovationCaseStudy',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
],
options={
'verbose_name': '11 - Case Study',
'verbose_name_plural': '11 - Case Study',
},
),
migrations.CreateModel(
name='Sector',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255)),
('display_name', models.CharField(max_length=255)),
('display_name_en', models.CharField(max_length=255, null=True)),
('display_name_de', models.CharField(max_length=255, null=True)),
('display_name_es', models.CharField(max_length=255, null=True)),
('display_name_fr', models.CharField(max_length=255, null=True)),
('display_name_pt', models.CharField(max_length=255, null=True)),
('display_name_ar', models.CharField(max_length=255, null=True)),
('display_name_ja', models.CharField(max_length=255, null=True)),
('display_name_zh_cn', models.CharField(max_length=255, null=True)),
],
),
migrations.CreateModel(
name='SectorInitiatives',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('sector', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='investment_report.Sector')),
],
options={
'verbose_name': '8 - Sector Initiatives',
'verbose_name_plural': '8 - Sector Initiatives',
},
),
migrations.CreateModel(
name='SectorLogo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(max_length=255)),
('image', sorl.thumbnail.fields.ImageField(upload_to='')),
('sector', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='investment_report.Sector')),
],
),
migrations.CreateModel(
name='SectorOverview',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('footer_image', models.ImageField(help_text='Image at bottom of this page', upload_to='')),
('footer_image_copy', models.TextField(blank=True, help_text='Text overlayed on image')),
('footer_image_copy_en', models.TextField(blank=True, help_text='Text overlayed on image', null=True)),
('footer_image_copy_de', models.TextField(blank=True, help_text='Text overlayed on image', null=True)),
('footer_image_copy_es', models.TextField(blank=True, help_text='Text overlayed on image', null=True)),
('footer_image_copy_fr', models.TextField(blank=True, help_text='Text overlayed on image', null=True)),
('footer_image_copy_pt', models.TextField(blank=True, help_text='Text overlayed on image', null=True)),
('footer_image_copy_ar', models.TextField(blank=True, help_text='Text overlayed on image', null=True)),
('footer_image_copy_ja', models.TextField(blank=True, help_text='Text overlayed on image', null=True)),
('footer_image_copy_zh_cn', models.TextField(blank=True, help_text='Text overlayed on image', null=True)),
('footer_image_copy_attribution', models.TextField(blank=True, help_text='Smaller text overlayed on image')),
('footer_image_copy_attribution_en', models.TextField(blank=True, help_text='Smaller text overlayed on image', null=True)),
('footer_image_copy_attribution_de', models.TextField(blank=True, help_text='Smaller text overlayed on image', null=True)),
('footer_image_copy_attribution_es', models.TextField(blank=True, help_text='Smaller text overlayed on image', null=True)),
('footer_image_copy_attribution_fr', models.TextField(blank=True, help_text='Smaller text overlayed on image', null=True)),
('footer_image_copy_attribution_pt', models.TextField(blank=True, help_text='Smaller text overlayed on image', null=True)),
('footer_image_copy_attribution_ar', models.TextField(blank=True, help_text='Smaller text overlayed on image', null=True)),
('footer_image_copy_attribution_ja', models.TextField(blank=True, help_text='Smaller text overlayed on image', null=True)),
('footer_image_copy_attribution_zh_cn', models.TextField(blank=True, help_text='Smaller text overlayed on image', null=True)),
('sector', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='investment_report.Sector')),
],
options={
'verbose_name': '1 - Sector Overview',
'verbose_name_plural': '1 - Sector Overview',
},
),
migrations.CreateModel(
name='ServicesOfferedByDIT',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('footer_image', models.ImageField(help_text='Image at bottom of this page', upload_to='')),
],
options={
'verbose_name': '14 - Services Offered',
'verbose_name_plural': '14 - Services Offered',
},
),
migrations.CreateModel(
name='TalentAndEducationBySector',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('sector', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='investment_report.Sector')),
],
options={
'verbose_name': '7.2 - Talent & Education (Sector)',
'verbose_name_plural': '7.2 - Talent & Education (Sector)',
},
),
migrations.CreateModel(
name='TalentAndEducationGeneric',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
],
options={
'verbose_name': '7.1 - Talent & Education (Generic)',
'verbose_name_plural': '7.1 - Talent & Education (Generic)',
},
),
migrations.CreateModel(
name='Testimonials',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
],
options={
'verbose_name': '16 - Testimonials',
'verbose_name_plural': '16 - Testimonials',
},
),
migrations.CreateModel(
name='UKBusinessInfo',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('body_image', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", upload_to='')),
('body_image_en', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_de', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_es', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_fr', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_pt', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_ar', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_ja', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_zh_cn', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('background_image', models.ImageField(upload_to='')),
],
options={
'verbose_name': '5 - Business Info',
'verbose_name_plural': '5 - Business Info',
},
),
migrations.CreateModel(
name='UKGeographicOverview',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
],
options={
'verbose_name': '6 - Geographic Overview',
'verbose_name_plural': '6 - Geographic Overview',
},
),
migrations.CreateModel(
name='UKMarketOverview',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('body_image', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", upload_to='')),
('body_image_en', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_de', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_es', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_fr', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_pt', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_ar', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_ja', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('body_image_zh_cn', models.FileField(help_text="Fact sheet SVG overlayed on background of background. Don't edit unless you know what you are doing. Viewbox needs to be carefully calibrated here", null=True, upload_to='')),
('background_image', models.ImageField(upload_to='')),
],
options={
'verbose_name': '4 - UK Market Overview',
'verbose_name_plural': '4 - UK Market Overview',
},
),
migrations.CreateModel(
name='VideoCaseStudy',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('content', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor')),
('content_en', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_de', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_es', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_fr', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_pt', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ar', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_ja', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('content_zh_cn', markdownx.models.MarkdownxField(help_text='Markdown input. Please refer to https://github.com/adam-p/markdown-here/wiki/Markdown-Cheatsheet for intructions. Images may be dragged and droped into the editor', null=True)),
('sector', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='investment_report.Sector')),
],
options={
'abstract': False,
},
),
migrations.CreateModel(
name='WhoIsHere',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('background_image', models.ImageField(upload_to='')),
],
options={
'verbose_name': "12 - Who's here (background image)",
'verbose_name_plural': "12 - Who's here (background image)",
},
),
migrations.AddField(
model_name='rdandinnovationcasestudy',
name='sector',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='investment_report.Sector'),
),
migrations.AddField(
model_name='rdandinnovation',
name='sector',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='investment_report.Sector'),
),
migrations.AddField(
model_name='macrocontextbetweencountries',
name='market',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='investment_report.Market'),
),
migrations.AddField(
model_name='killerfacts',
name='sector',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='investment_report.Sector'),
),
migrations.AddField(
model_name='frontpage',
name='sector',
field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='investment_report.Sector'),
),
]
| 113.57839 | 254 | 0.69576 | 6,852 | 53,609 | 5.347928 | 0.030064 | 0.037769 | 0.106839 | 0.121575 | 0.941027 | 0.933386 | 0.932022 | 0.930439 | 0.920478 | 0.905469 | 0 | 0.00375 | 0.18911 | 53,609 | 471 | 255 | 113.819533 | 0.839203 | 0.001287 | 0 | 0.697624 | 1 | 0.330454 | 0.554925 | 0.014476 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.010799 | 0 | 0.019438 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
013a91be82e17c877291cad923ccfd3e727cd113 | 95 | py | Python | datatrans/fooddata/search/__init__.py | KooCook/datatrans | 65c80da4d8a1ed67963b9d704b361c864cb1151b | [
"BSD-3-Clause"
] | 1 | 2020-10-24T04:07:42.000Z | 2020-10-24T04:07:42.000Z | datatrans/fooddata/search/__init__.py | KooCook/datatrans | 65c80da4d8a1ed67963b9d704b361c864cb1151b | [
"BSD-3-Clause"
] | null | null | null | datatrans/fooddata/search/__init__.py | KooCook/datatrans | 65c80da4d8a1ed67963b9d704b361c864cb1151b | [
"BSD-3-Clause"
] | null | null | null | from datatrans.fooddata.search import response
from datatrans.fooddata.search.request import *
| 31.666667 | 47 | 0.852632 | 12 | 95 | 6.75 | 0.583333 | 0.320988 | 0.518519 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.084211 | 95 | 2 | 48 | 47.5 | 0.931034 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
6d8f72abdaed6274960a04b33b2645bad963e345 | 210 | py | Python | desktop/core/ext-py/cffi-1.11.5/testing/cffi0/snippets/distutils_package_2/setup.py | kokosing/hue | 2307f5379a35aae9be871e836432e6f45138b3d9 | [
"Apache-2.0"
] | 163 | 2016-03-18T21:32:05.000Z | 2021-11-08T08:46:22.000Z | desktop/core/ext-py/cffi-1.11.5/testing/cffi0/snippets/distutils_package_2/setup.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 9 | 2018-12-14T07:31:42.000Z | 2020-12-09T20:29:28.000Z | desktop/core/ext-py/cffi-1.11.5/testing/cffi0/snippets/distutils_package_2/setup.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 64 | 2018-04-25T08:51:57.000Z | 2022-01-29T14:13:57.000Z |
from distutils.core import setup
import snip_basic_verify2
setup(
packages=['snip_basic_verify2'],
ext_package='snip_basic_verify2',
ext_modules=[snip_basic_verify2.ffi.verifier.get_extension()])
| 23.333333 | 66 | 0.785714 | 28 | 210 | 5.5 | 0.571429 | 0.233766 | 0.415584 | 0.246753 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021505 | 0.114286 | 210 | 8 | 67 | 26.25 | 0.806452 | 0 | 0 | 0 | 0 | 0 | 0.172249 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
6dc6377536a67940608b09e3380d87ee69ab789f | 38,913 | py | Python | pipeline/metadata/test_flatten_hyperquack.py | censoredplanet/censoredplanet-analysis | f5e5d82f890e47599bc0baa9a9390f3c5147a6f7 | [
"Apache-2.0"
] | 6 | 2021-06-02T11:15:12.000Z | 2022-03-04T12:09:35.000Z | pipeline/metadata/test_flatten_hyperquack.py | censoredplanet/censoredplanet-analysis | f5e5d82f890e47599bc0baa9a9390f3c5147a6f7 | [
"Apache-2.0"
] | 24 | 2021-04-13T18:07:29.000Z | 2022-03-25T20:26:27.000Z | pipeline/metadata/test_flatten_hyperquack.py | censoredplanet/censoredplanet-analysis | f5e5d82f890e47599bc0baa9a9390f3c5147a6f7 | [
"Apache-2.0"
] | 2 | 2021-06-02T11:30:21.000Z | 2021-08-20T12:17:12.000Z | """Unit tests for hyperquack flattening functions"""
import unittest
from typing import List
from pipeline.metadata.flatten_base import Row
from pipeline.metadata.blockpage import BlockpageMatcher
from pipeline.metadata.domain_categories import DomainCategoryMatcher
from pipeline.metadata import flatten_hyperquack
def get_hyperquack_flattener() -> flatten_hyperquack.HyperquackFlattener:
blockpage_matcher = BlockpageMatcher()
category_matcher = DomainCategoryMatcher()
return flatten_hyperquack.HyperquackFlattener(blockpage_matcher,
category_matcher)
class FlattenHyperquackTest(unittest.TestCase):
"""Unit tests for hyperquack pipeline flattening."""
def setUp(self) -> None:
self.maxDiff = None # pylint: disable=invalid-name
# pylint: disable=protected-access
def test_extract_domain_from_sent_field_echo_discard(self) -> None:
"""Test parsing url from sent field in echo and discard tests."""
sent = "GET / HTTP/1.1\r\nHost: example5718349450314.com\r\n"
self.assertEqual("example5718349450314.com",
flatten_hyperquack._extract_domain_from_sent_field(sent))
def test_extract_domain_from_sent_field_discard_error(self) -> None:
"""Test parsing url from sent field."""
# This sent format is an error
# but it appears in the data, so we parse it.
sent = "GET www.bbc.co.uk HTTP/1.1\r\nHost: /\r\n"
self.assertEqual("www.bbc.co.uk",
flatten_hyperquack._extract_domain_from_sent_field(sent))
def test_extract_url_from_sent_field(self) -> None:
"""Test parsing full url from sent field in echo and discard tests."""
sent = "GET /videos/news/fresh-incidents-of-violence-in-assam/videoshow/15514015.cms HTTP/1.1\r\nHost: timesofindia.indiatimes.com\r\n"
self.assertEqual(
"timesofindia.indiatimes.com/videos/news/fresh-incidents-of-violence-in-assam/videoshow/15514015.cms",
flatten_hyperquack._extract_domain_from_sent_field(sent))
def test_extract_url_from_sent_field_error(self) -> None:
"""Test parsing full url from sent field in echo and discard tests."""
# This sent format is an error
# but it appears in the data, so we parse it.
sent = "GET www.guaribas.pi.gov.br HTTP/1.1\r\nHost: /portal1/intro.asp?iIdMun=100122092\r\n"
self.assertEqual(
"www.guaribas.pi.gov.br/portal1/intro.asp?iIdMun=100122092",
flatten_hyperquack._extract_domain_from_sent_field(sent))
def test_extract_domain_from_sent_field_http(self) -> None:
"""Test parsing url from sent field for HTTP/S"""
sent = "www.apple.com"
self.assertEqual("www.apple.com",
flatten_hyperquack._extract_domain_from_sent_field(sent))
def test_extract_domain_from_sent_field_invalid(self) -> None:
"""Test parsing url from sent field."""
sent = "Get sdkfjhsd something incorrect"
with self.assertRaises(Exception) as context:
flatten_hyperquack._extract_domain_from_sent_field(sent)
self.assertIn('unknown sent field format:', str(context.exception))
# pylint: enable=protected-access
def test_flattenmeasurement_echo_v1(self) -> None:
"""Test parsing an example Echo v1 measurement."""
line = {
"Server": "1.2.3.4",
"Keyword": "www.test.com",
"Retries": 1,
"Results": [{
"Sent": "GET / HTTP/1.1\r\nHost: www.test.com\r\n\r\n",
"Received": "HTTP/1.1 503 Service Unavailable",
"Success": False,
"Error": "Incorrect echo response",
"StartTime": "2020-09-20T07:45:09.643770291-04:00",
"EndTime": "2020-09-20T07:45:10.088851843-04:00"
}, {
"Sent": "",
"Received": "",
"Success": False,
"Error": "timeout",
"StartTime": "2020-09-20T07:45:12.643770291-04:00",
"EndTime": "2020-09-20T07:45:13.088851843-04:00"
}, {
"Sent": "",
"Success": False,
"Error": "timeout",
"StartTime": "2020-09-20T07:45:16.170427683-04:00",
"EndTime": "2020-09-20T07:45:16.662093893-04:00"
}, {
"Sent": "GET / HTTP/1.1\r\nHost: example5718349450314.com\r\n\r\n",
"Received": "HTTP/1.1 403 Forbidden",
"Success": False,
"Error": "Incorrect echo response",
"StartTime": "2020-09-20T07:45:18.170427683-04:00",
"EndTime": "2020-09-20T07:45:18.662093893-04:00"
}],
"Blocked": True,
"FailSanity": True,
"StatefulBlock": False
}
expected_rows: List[Row] = [
{
'domain': 'www.test.com',
'category': None,
'ip': '1.2.3.4',
'date': '2020-09-20',
'start_time': '2020-09-20T07:45:09.643770291-04:00',
'end_time': '2020-09-20T07:45:10.088851843-04:00',
'received_status': 'HTTP/1.1 503 Service Unavailable',
'error': 'Incorrect echo response',
'blockpage': False,
'page_signature': 'x_generic_503_4',
'anomaly': True,
'success': False,
'stateful_block': False,
'is_control': False,
'controls_failed': True,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-echo-2020-08-23-06-01-02',
},
{
'domain':
'www.test.com', # domain is populated even though sent was empty
'category': None,
'ip': '1.2.3.4',
'date': '2020-09-20',
'start_time': '2020-09-20T07:45:12.643770291-04:00',
'end_time': '2020-09-20T07:45:13.088851843-04:00',
'received_status': '',
'error': 'timeout',
'blockpage': None,
'page_signature': None,
'anomaly': True,
'success': False,
'stateful_block': False,
'is_control': False, # calculated even though sent was empty
'controls_failed': True,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-echo-2020-08-23-06-01-02',
},
{
'domain':
'', # missing control domain is not populated when sent is empty
'category': 'Control',
'ip': '1.2.3.4',
'date': '2020-09-20',
'start_time': '2020-09-20T07:45:16.170427683-04:00',
'end_time': '2020-09-20T07:45:16.662093893-04:00',
'error': 'timeout',
'anomaly': True,
'success': False,
'stateful_block': False,
'is_control': True, # calculated even though sent was empty
'controls_failed': True,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-echo-2020-08-23-06-01-02',
},
{
'domain': 'example5718349450314.com',
'category': 'Control',
'ip': '1.2.3.4',
'date': '2020-09-20',
'start_time': '2020-09-20T07:45:18.170427683-04:00',
'end_time': '2020-09-20T07:45:18.662093893-04:00',
'received_status': 'HTTP/1.1 403 Forbidden',
'blockpage': None,
'page_signature': None,
'error': 'Incorrect echo response',
'anomaly': True,
'success': False,
'stateful_block': False,
'is_control': True,
'controls_failed': True,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-echo-2020-08-23-06-01-02',
},
]
filename = 'gs://firehook-scans/echo/CP_Quack-echo-2020-08-23-06-01-02/results.json'
flattener = get_hyperquack_flattener()
rows = list(
flattener.process_hyperquack(filename, line,
'81e2a76dafe04131bc38fc6ec7bbddca'))
self.assertEqual(len(rows), 4)
self.assertListEqual(rows, expected_rows)
def test_flattenmeasurement_echo_v2(self) -> None:
"""Test parsing an example successful Echo v2 measurement."""
line = {
"vp": "146.112.255.132",
"location": {
"country_name": "United States",
"country_code": "US"
},
"service": "echo",
"test_url": "104.com.tw",
"response": [{
"matches_template": True,
"control_url": "control-9f26cf1579e1e31d.com",
"start_time": "2021-05-30T01:01:03.783547451-04:00",
"end_time": "2021-05-30T01:01:03.829470254-04:00"
}, {
"matches_template": True,
"start_time": "2021-05-30T01:01:03.829473355-04:00",
"end_time": "2021-05-30T01:01:03.855786298-04:00"
}, {
"matches_template":
False,
"error":
"dial tcp 0.0.0.0:0->204.116.44.177:7: bind: address already in use",
"start_time":
"2021-05-30T01:01:41.43715135-04:00",
"end_time":
"2021-05-30T01:01:41.484703377-04:00"
}],
"anomaly": True,
"controls_failed": False,
"stateful_block": False,
"tag": "2021-05-30T01:01:01"
}
expected_rows: List[Row] = [{
'domain': 'control-9f26cf1579e1e31d.com',
'category': 'Control',
'ip': '146.112.255.132',
'date': '2021-05-30',
'start_time': '2021-05-30T01:01:03.783547451-04:00',
'end_time': '2021-05-30T01:01:03.829470254-04:00',
'anomaly': True,
'success': True,
'stateful_block': False,
'is_control': True,
'controls_failed': False,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-echo-2021-05-30-01-01-01',
}, {
'domain': '104.com.tw',
'category': 'Social Networking',
'ip': '146.112.255.132',
'date': '2021-05-30',
'start_time': '2021-05-30T01:01:03.829473355-04:00',
'end_time': '2021-05-30T01:01:03.855786298-04:00',
'anomaly': True,
'success': True,
'stateful_block': False,
'is_control': False,
'controls_failed': False,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-echo-2021-05-30-01-01-01',
}, {
'domain':
'104.com.tw',
'category':
'Social Networking',
'ip':
'146.112.255.132',
'date':
'2021-05-30',
'start_time':
'2021-05-30T01:01:41.43715135-04:00',
'end_time':
'2021-05-30T01:01:41.484703377-04:00',
"error":
"dial tcp 0.0.0.0:0->204.116.44.177:7: bind: address already in use",
'anomaly':
True,
'success':
False,
'stateful_block':
False,
'is_control':
False,
'controls_failed':
False,
'measurement_id':
'81e2a76dafe04131bc38fc6ec7bbddca',
'source':
'CP_Quack-echo-2021-05-30-01-01-01',
}]
filename = 'gs://firehook-scans/echo/CP_Quack-echo-2021-05-30-01-01-01/results.json'
flattener = get_hyperquack_flattener()
rows = list(
flattener.process_hyperquack(filename, line,
'81e2a76dafe04131bc38fc6ec7bbddca'))
self.assertEqual(len(rows), 3)
self.assertListEqual(rows, expected_rows)
def test_flattenmeasurement_discard_v2(self) -> None:
"""Test parsing an example failed Discard v2 measurement."""
line = {
"vp": "117.78.42.54",
"location": {
"country_name": "China",
"country_code": "CN"
},
"service": "discard",
"test_url": "123rf.com",
"response": [{
"matches_template": True,
"control_url": "control-2e116cc633eb1fbd.com",
"start_time": "2021-05-31T12:46:33.600692607-04:00",
"end_time": "2021-05-31T12:46:35.244736764-04:00"
}, {
"matches_template":
False,
"response":
"",
"error":
"read tcp 141.212.123.235:11397->117.78.42.54:9: read: connection reset by peer",
"start_time":
"2021-05-31T12:46:45.544781756-04:00",
"end_time":
"2021-05-31T12:46:45.971628233-04:00"
}, {
"matches_template": True,
"control_url": "control-be2b77e1cde11c02.com",
"start_time": "2021-05-31T12:46:48.97188782-04:00",
"end_time": "2021-05-31T12:46:50.611808471-04:00"
}],
"anomaly": True,
"controls_failed": False,
"stateful_block": False,
"tag": "2021-05-31T12:43:21"
}
expected_rows: List[Row] = [{
'domain': 'control-2e116cc633eb1fbd.com',
'category': 'Control',
'ip': '117.78.42.54',
'date': '2021-05-31',
'start_time': '2021-05-31T12:46:33.600692607-04:00',
'end_time': '2021-05-31T12:46:35.244736764-04:00',
'anomaly': True,
'success': True,
'stateful_block': False,
'is_control': True,
'controls_failed': False,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-discard-2021-05-31-12-43-21',
}, {
'domain':
'123rf.com',
'category':
'E-commerce',
'ip':
'117.78.42.54',
'date':
'2021-05-31',
'start_time':
'2021-05-31T12:46:45.544781756-04:00',
'end_time':
'2021-05-31T12:46:45.971628233-04:00',
'error':
'read tcp 141.212.123.235:11397->117.78.42.54:9: read: connection reset by peer',
'received_status':
'',
'blockpage':
None,
'page_signature':
None,
'anomaly':
True,
'success':
False,
'stateful_block':
False,
'is_control':
False,
'controls_failed':
False,
'measurement_id':
'81e2a76dafe04131bc38fc6ec7bbddca',
'source':
'CP_Quack-discard-2021-05-31-12-43-21',
}, {
'domain': 'control-be2b77e1cde11c02.com',
'category': 'Control',
'ip': '117.78.42.54',
'date': '2021-05-31',
'start_time': '2021-05-31T12:46:48.97188782-04:00',
'end_time': '2021-05-31T12:46:50.611808471-04:00',
'anomaly': True,
'success': True,
'stateful_block': False,
'is_control': True,
'controls_failed': False,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-discard-2021-05-31-12-43-21',
}]
filename = 'gs://firehook-scans/discard/CP_Quack-discard-2021-05-31-12-43-21/results.json'
flattener = get_hyperquack_flattener()
rows = list(
flattener.process_hyperquack(filename, line,
'81e2a76dafe04131bc38fc6ec7bbddca'))
self.assertEqual(len(rows), 3)
self.assertListEqual(rows, expected_rows)
def test_flattenmeasurement_http_success_v1(self) -> None:
"""Test parsing an example successful HTTP v1 measurement
Not all measurements recieve any data/errors,
in that case the received_ and error fields should not exist
and will end up Null in bigquery.
"""
line = {
"Server": "170.248.33.11",
"Keyword": "scribd.com",
"Retries": 0,
"Results": [{
"Sent": "scribd.com",
"Success": True,
"StartTime": "2020-11-09T01:10:47.826486107-05:00",
"EndTime": "2020-11-09T01:10:47.84869292-05:00"
}],
"Blocked": False,
"FailSanity": False,
"StatefulBlock": False
}
expected_row = {
'domain': 'scribd.com',
'category': 'File-sharing',
'ip': '170.248.33.11',
'date': '2020-11-09',
'start_time': '2020-11-09T01:10:47.826486107-05:00',
'end_time': '2020-11-09T01:10:47.84869292-05:00',
'anomaly': False,
'success': True,
'stateful_block': False,
'is_control': False,
'controls_failed': False,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-http-2020-11-09-01-02-08',
}
filename = 'gs://firehook-scans/http/CP_Quack-http-2020-11-09-01-02-08/results.json'
flattener = get_hyperquack_flattener()
row = list(
flattener.process_hyperquack(filename, line,
'81e2a76dafe04131bc38fc6ec7bbddca'))[0]
self.assertEqual(row, expected_row)
def test_flattenmeasurement_http_v1(self) -> None:
"""Test parsing an unsuccessful HTTP v1 measurement."""
line = {
"Server": "184.50.171.225",
"Keyword": "www.csmonitor.com",
"Retries": 0,
"Results": [{
"Sent": "www.csmonitor.com",
"Received": {
"status_line": "301 Moved Permanently",
"headers": {
"Content-Length": ["0"],
"Date": ["Sun, 13 Sep 2020 05:10:58 GMT"],
"Location": ["https://www.csmonitor.com/"],
"Server": ["HTTP Proxy/1.0"]
},
"body": "test body"
},
"Success": False,
"Error": "Incorrect web response: status lines don't match",
"StartTime": "2020-09-13T01:10:57.499263112-04:00",
"EndTime": "2020-09-13T01:10:58.077524926-04:00"
}],
"Blocked": True,
"FailSanity": False,
"StatefulBlock": False
}
expected_row = {
'domain': 'www.csmonitor.com',
'category': 'Religion',
'ip': '184.50.171.225',
'date': '2020-09-13',
'start_time': '2020-09-13T01:10:57.499263112-04:00',
'end_time': '2020-09-13T01:10:58.077524926-04:00',
'received_status': '301 Moved Permanently',
'received_body': 'test body',
'received_headers': [
'Content-Length: 0',
'Date: Sun, 13 Sep 2020 05:10:58 GMT',
'Location: https://www.csmonitor.com/',
'Server: HTTP Proxy/1.0',
],
'blockpage': False,
'page_signature': 'p_fp_33',
'error': 'Incorrect web response: status lines don\'t match',
'anomaly': True,
'success': False,
'stateful_block': False,
'is_control': False,
'controls_failed': False,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-http-2020-09-13-01-02-07',
}
filename = 'gs://firehook-scans/http/CP_Quack-http-2020-09-13-01-02-07/results.json'
flattener = get_hyperquack_flattener()
row = list(
flattener.process_hyperquack(filename, line,
'81e2a76dafe04131bc38fc6ec7bbddca'))[0]
self.assertEqual(row, expected_row)
def test_flattenmeasurement_http_v2(self) -> None:
"""Test parsing an unsuccessful HTTP v2 measurement."""
line = {
"vp": "167.207.140.67",
"location": {
"country_name": "United States",
"country_code": "US"
},
"service": "http",
"test_url": "1337x.to",
"response": [{
"matches_template": True,
"control_url": "control-a459b35b8d53c7eb.com",
"start_time": "2021-05-30T01:02:13.620124638-04:00",
"end_time": "2021-05-30T01:02:14.390201235-04:00"
}, {
"matches_template": False,
"response": {
"status_line": "503 Service Unavailable",
"headers": {
"Cache-Control": ["no-store, no-cache"],
"Content-Length": ["1395"],
"Content-Type": ["text/html; charset=UTF-8"],
"Expires": ["Thu, 01 Jan 1970 00:00:00 GMT"],
"P3p": ["CP=\"CAO PSA OUR\""],
"Pragma": ["no-cache"]
},
"body": "<html>short body for test</html>"
},
"start_time": "2021-05-30T01:02:14.390233996-04:00",
"end_time": "2021-05-30T01:02:15.918981416-04:00"
}],
"anomaly": True,
"controls_failed": False,
"stateful_block": False,
"tag": "2021-05-30T01:01:01"
}
expected_rows: List[Row] = [{
'domain': 'control-a459b35b8d53c7eb.com',
'category': 'Control',
'ip': '167.207.140.67',
'date': '2021-05-30',
'start_time': '2021-05-30T01:02:13.620124638-04:00',
'end_time': '2021-05-30T01:02:14.390201235-04:00',
'anomaly': True,
'success': True,
'stateful_block': False,
'is_control': True,
'controls_failed': False,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-http-2021-05-30-01-01-01',
}, {
'domain': '1337x.to',
'category': 'Media sharing',
'ip': '167.207.140.67',
'date': '2021-05-30',
'start_time': '2021-05-30T01:02:14.390233996-04:00',
'end_time': '2021-05-30T01:02:15.918981416-04:00',
'received_status': '503 Service Unavailable',
'received_body': '<html>short body for test</html>',
'received_headers': [
'Cache-Control: no-store, no-cache', 'Content-Length: 1395',
'Content-Type: text/html; charset=UTF-8',
'Expires: Thu, 01 Jan 1970 00:00:00 GMT', 'P3p: CP=\"CAO PSA OUR\"',
'Pragma: no-cache'
],
'blockpage': False,
'page_signature': 'x_generic_503_4',
'anomaly': True,
'success': False,
'stateful_block': False,
'is_control': False,
'controls_failed': False,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-http-2021-05-30-01-01-01',
}]
filename = 'gs://firehook-scans/http/CP_Quack-http-2021-05-30-01-01-01/results.json'
flattener = get_hyperquack_flattener()
rows = list(
flattener.process_hyperquack(filename, line,
'81e2a76dafe04131bc38fc6ec7bbddca'))
self.assertEqual(len(rows), 2)
self.assertListEqual(rows, expected_rows)
def test_flattenmeasurement_https_v1(self) -> None:
"""Test parsing an unsuccessful HTTPS v1 measurement."""
# yapf: disable
line = {
"Server": "213.175.166.157",
"Keyword": "www.arabhra.org",
"Retries": 2,
"Results": [
{
"Sent": "www.arabhra.org",
"Received": {
"status_line": "302 Found",
"headers": {
"Content-Language": ["en"],
"Content-Type": ["text/html; charset=iso-8859-1"],
"Date": ["Fri, 06 Nov 2020 20:24:21 GMT"],
"Location": [
"https://jobs.bankaudi.com.lb/OA_HTML/IrcVisitor.jsp"
],
"Set-Cookie": [
"BIGipServer~IFRMS-WEB~IFRMS-OHS-HTTPS=rd7o00000000000000000000ffffc0a8fde4o4443; expires=Fri, 06-Nov-2020 21:24:21 GMT; path=/; Httponly; Secure",
"TS016c74f4=01671efb9a1a400535e215d6f76498a5887425fed793ca942baa75f16076e60e1350988222922fa06fc16f53ef016d9ecd38535fcabf14861525811a7c3459e91086df326f; Path=/"
],
"X-Frame-Options": ["SAMEORIGIN"]
},
"body": '<!DOCTYPE HTML PUBLIC \"-//IETF//DTD HTML 2.0//EN\">\n<HTML><HEAD>\n<TITLE>302 Found</TITLE>\n</HEAD><BODY>\n<H1>Found</H1>\nThe document has moved <A HREF=\"https://jobs.bankaudi.com.lb/OA_HTML/IrcVisitor.jsp\">here</A>.<P>\n</BODY></HTML>\n',
"tls": {
"version": 771,
"cipher_suite": 49199,
"cert": "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"
}
},
"Success": False,
"Error": "Incorrect web response: status lines don't match",
"StartTime": "2020-11-06T15:24:21.124508839-05:00",
"EndTime": "2020-11-06T15:24:21.812075476-05:00"
}
],
"Blocked": False,
"FailSanity": False,
"StatefulBlock": False
}
# yapf: enable
filename = 'gs://firehook-scans/http/CP_Quack-https-2020-11-06-15-15-31/results.json'
# yapf: disable
expected_row: Row = {
'domain': 'www.arabhra.org',
'category': 'Intergovernmental Organizations',
'ip': '213.175.166.157',
'date': '2020-11-06',
'start_time': '2020-11-06T15:24:21.124508839-05:00',
'end_time': '2020-11-06T15:24:21.812075476-05:00',
'received_status': '302 Found',
'received_body': '<!DOCTYPE HTML PUBLIC \"-//IETF//DTD HTML 2.0//EN\">\n<HTML><HEAD>\n<TITLE>302 Found</TITLE>\n</HEAD><BODY>\n<H1>Found</H1>\nThe document has moved <A HREF=\"https://jobs.bankaudi.com.lb/OA_HTML/IrcVisitor.jsp\">here</A>.<P>\n</BODY></HTML>\n',
'received_tls_version': 771,
'received_tls_cipher_suite': 49199,
'received_tls_cert': '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',
'received_headers': [
'Content-Language: en',
'Content-Type: text/html; charset=iso-8859-1',
'Date: Fri, 06 Nov 2020 20:24:21 GMT',
'Location: https://jobs.bankaudi.com.lb/OA_HTML/IrcVisitor.jsp',
'Set-Cookie: BIGipServer~IFRMS-WEB~IFRMS-OHS-HTTPS=rd7o00000000000000000000ffffc0a8fde4o4443; expires=Fri, 06-Nov-2020 21:24:21 GMT; path=/; Httponly; Secure',
'Set-Cookie: TS016c74f4=01671efb9a1a400535e215d6f76498a5887425fed793ca942baa75f16076e60e1350988222922fa06fc16f53ef016d9ecd38535fcabf14861525811a7c3459e91086df326f; Path=/',
'X-Frame-Options: SAMEORIGIN',
],
'error': 'Incorrect web response: status lines don\'t match',
'anomaly': False,
'success': False,
'stateful_block': False,
'is_control': False,
'controls_failed': False,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-https-2020-11-06-15-15-31',
}
# yapf: enable
flattener = get_hyperquack_flattener()
row = list(
flattener.process_hyperquack(filename, line,
'81e2a76dafe04131bc38fc6ec7bbddca'))[0]
self.assertEqual(row, expected_row)
def test_flattenmeasurement_https_v2(self) -> None:
"""Test parsing an unsuccessful HTTPS v2 measurement."""
# yapf: disable
line = {
"vp": "41.0.4.132",
"location": {
"country_name": "South Africa",
"country_code": "ZA"
},
"service": "https",
"test_url": "antivigilancia.org",
"response": [
{
"matches_template": False,
"response": {
"status_line": "200 OK",
"headers": {
"Cache-Control": [
"no-store, no-cache, must-revalidate, post-check=0, pre-check=0"
],
"Charset": [
"utf-8"
]
},
"body": "<!DOCTYPE html> replaced long body",
"TlsVersion": 771,
"CipherSuite": 49199,
"Certificate": "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"
},
"control_url": "control-1b13950f35f3208b.com",
"start_time": "2021-04-26T04:38:36.78214922-04:00",
"end_time": "2021-04-26T04:38:39.114151569-04:00"
}
],
"anomaly": False,
"controls_failed": True,
"stateful_block": False,
"tag": "2021-04-26T04:21:46"
}
# yapf: enable
filename = 'gs://firehook-scans/https/CP_Quack-https-2021-04-26-04-21-46/results.json'
# yapf: disable
expected_row: Row = {
'domain': 'control-1b13950f35f3208b.com',
'category': 'Control',
'ip': '41.0.4.132',
'date': '2021-04-26',
'start_time': '2021-04-26T04:38:36.78214922-04:00',
'end_time': '2021-04-26T04:38:39.114151569-04:00',
'received_status': '200 OK',
'received_body': '<!DOCTYPE html> replaced long body',
'received_tls_version': 771,
'received_tls_cipher_suite': 49199,
'received_tls_cert': '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',
'received_headers': [
'Cache-Control: no-store, no-cache, must-revalidate, post-check=0, pre-check=0',
'Charset: utf-8'
],
'anomaly': False,
'success': False,
'stateful_block': False,
'is_control': True,
'controls_failed': True,
'measurement_id': '81e2a76dafe04131bc38fc6ec7bbddca',
'source': 'CP_Quack-https-2021-04-26-04-21-46',
}
# yapf: enable
flattener = get_hyperquack_flattener()
row = list(
flattener.process_hyperquack(filename, line,
'81e2a76dafe04131bc38fc6ec7bbddca'))[0]
self.assertEqual(row, expected_row)
| 50.275194 | 2,532 | 0.666101 | 3,355 | 38,913 | 7.614009 | 0.158271 | 0.008769 | 0.012527 | 0.009904 | 0.886436 | 0.863143 | 0.849286 | 0.808808 | 0.765355 | 0.739166 | 0 | 0.157362 | 0.216123 | 38,913 | 773 | 2,533 | 50.340233 | 0.680097 | 0.038059 | 0 | 0.533528 | 0 | 0.033528 | 0.614321 | 0.416872 | 0 | 1 | 0 | 0 | 0.027697 | 1 | 0.023324 | false | 0 | 0.008746 | 0 | 0.034985 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
6dd8c2d61c2956c61b6ebf79367dfd9534a2ca5f | 2,209 | py | Python | applications/gotochurch/controllers/congregacao.py | DayvsonWellerson/gotochurchWeb | 7e2cb05d208191b04c93f110e6bef7fad3cd9f88 | [
"BSD-3-Clause"
] | null | null | null | applications/gotochurch/controllers/congregacao.py | DayvsonWellerson/gotochurchWeb | 7e2cb05d208191b04c93f110e6bef7fad3cd9f88 | [
"BSD-3-Clause"
] | null | null | null | applications/gotochurch/controllers/congregacao.py | DayvsonWellerson/gotochurchWeb | 7e2cb05d208191b04c93f110e6bef7fad3cd9f88 | [
"BSD-3-Clause"
] | null | null | null | def novaCongregacao():
if request.vars:
nome = request.vars.nome
coordenador = request.vars.coordenador
qtd_assentos = request.vars.qtd_assentos
rua = request.vars.rua
bairro = request.vars.bairro
cidade = request.vars.cidade
complemento = request.vars.complemento
numero = request.vars.numero
latitude = request.vars.latitude
logitude = request.vars.longitude
Congregacao.insert(nome=nome, coordenador=coordenador, qtd_assentos=qtd_assentos, rua=rua, bairro=bairro, cidade=cidade, complemento=complemento, numero=numero, latitude=latitude, logitude=logitude)
def excluirCongregacao():
if request.vars:
idCongregacao = request.vars.id
db(Congregacao.id == idCongregacao).delete()
def editarCongregacao():
if request.vars:
idCongregacao = request.vars.id
nome = request.vars.nome
coordenador = request.vars.coordenador
qtd_assentos = request.vars.qtd_assentos
rua = request.vars.rua
bairro = request.vars.bairro
cidade = request.vars.cidade
complemento = request.vars.complemento
numero = request.vars.numero
latitude = request.vars.latitude
logitude = request.vars.longitude
db(Congregacao.id == idCongregacao).update(nome=nome, coordenador=coordenador, qtd_assentos=qtd_assentos, rua=rua, bairro=bairro, cidade=cidade, complemento=complemento, numero=numero, latitude=latitude, logitude=logitude)
def listarCongregacao():
congregacoes = db.executesql("SELECT c.nome, c.coordenador, c.qtd_assentos, c.rua, c.bairro, c.cidade, c.complemento, c.numero, c.latitude, c.logitude FROM congregacao as c", as_dict=True)
from gluon.serializers import json
return XML(json(congregacoes))
def pesquisarCongregacaoPorId():
if request.vars:
idCongregacao = request.vars.id
congregacoe = db.executesql("SELECT c.nome, c.coordenador, c.qtd_assentos, c.rua, c.bairro, c.cidade, c.complemento, c.numero, c.latitude, c.logitude FROM congregacao as c WHERE c.id = %s" %idCongregacao, as_dict=True)
from gluon.serializers import json
return XML(json(congregacoe)) | 47 | 230 | 0.707107 | 261 | 2,209 | 5.938697 | 0.172414 | 0.191613 | 0.033548 | 0.050323 | 0.827742 | 0.827742 | 0.827742 | 0.752258 | 0.752258 | 0.752258 | 0 | 0 | 0.194658 | 2,209 | 47 | 231 | 47 | 0.871276 | 0 | 0 | 0.707317 | 0 | 0.04878 | 0.135747 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121951 | false | 0 | 0.04878 | 0 | 0.219512 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6df5654398b849dec4cbe54fb96b490926490822 | 120 | py | Python | evmautomation/defines/generic.py | nightshift2k/evmautomation | 987f454f729172c1d5fe086e44dcb60239a1b127 | [
"MIT"
] | null | null | null | evmautomation/defines/generic.py | nightshift2k/evmautomation | 987f454f729172c1d5fe086e44dcb60239a1b127 | [
"MIT"
] | null | null | null | evmautomation/defines/generic.py | nightshift2k/evmautomation | 987f454f729172c1d5fe086e44dcb60239a1b127 | [
"MIT"
] | 1 | 2022-03-24T00:19:47.000Z | 2022-03-24T00:19:47.000Z | DEAD_ADDRESS = "0x000000000000000000000000000000000000dEaD"
NULL_ADDRESS = "0x0000000000000000000000000000000000000000"
| 40 | 59 | 0.9 | 6 | 120 | 17.666667 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.684211 | 0.05 | 120 | 2 | 60 | 60 | 0.245614 | 0 | 0 | 0 | 0 | 0 | 0.7 | 0.7 | 0 | 0 | 0.7 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
096d765efb6475fca645f898f5d87db4c695e51f | 1,783 | py | Python | examples/docs_snippets/docs_snippets_tests/concepts_tests/types_tests/test_types.py | dbatten5/dagster | d76e50295054ffe5a72f9b292ef57febae499528 | [
"Apache-2.0"
] | 1 | 2021-07-03T09:05:58.000Z | 2021-07-03T09:05:58.000Z | examples/docs_snippets/docs_snippets_tests/concepts_tests/types_tests/test_types.py | dbatten5/dagster | d76e50295054ffe5a72f9b292ef57febae499528 | [
"Apache-2.0"
] | 1 | 2021-06-21T18:30:02.000Z | 2021-06-25T21:18:39.000Z | examples/docs_snippets/docs_snippets_tests/concepts_tests/types_tests/test_types.py | dbatten5/dagster | d76e50295054ffe5a72f9b292ef57febae499528 | [
"Apache-2.0"
] | 1 | 2021-11-30T21:40:46.000Z | 2021-11-30T21:40:46.000Z | import pytest
from dagster import DagsterTypeCheckDidNotPass, execute_solid
from docs_snippets.concepts.types.types import test_dagster_type
def test_basic_even_type():
from docs_snippets.concepts.types.types import double_even
assert execute_solid(double_even, input_values={"num": 2}).success
with pytest.raises(DagsterTypeCheckDidNotPass):
execute_solid(double_even, input_values={"num": 3})
assert not execute_solid(double_even, input_values={"num": 3}, raise_on_error=False).success
def test_basic_even_type_with_annotations():
from docs_snippets.concepts.types.types import double_even_with_annotations
assert execute_solid(double_even_with_annotations, input_values={"num": 2}).success
with pytest.raises(DagsterTypeCheckDidNotPass):
execute_solid(double_even_with_annotations, input_values={"num": 3})
assert not execute_solid(
double_even_with_annotations, input_values={"num": 3}, raise_on_error=False
).success
def test_python_object_dagster_type():
from docs_snippets.concepts.types.object_type import EvenType, double_even
assert execute_solid(double_even, input_values={"even_num": EvenType(2)}).success
with pytest.raises(AssertionError):
execute_solid(double_even, input_values={"even_num": EvenType(3)})
def test_usable_as_dagster_type():
from docs_snippets.concepts.types.usable_as import EvenType, double_even
assert execute_solid(double_even, input_values={"even_num": EvenType(2)}).success
def test_make_python_type_usable_as_dagster_type():
from docs_snippets.concepts.types.make_usable import EvenType, double_even
assert execute_solid(double_even, input_values={"even_num": EvenType(2)}).success
def test_unit_test():
test_dagster_type()
| 34.288462 | 96 | 0.786876 | 241 | 1,783 | 5.448133 | 0.165975 | 0.114242 | 0.137091 | 0.167555 | 0.839299 | 0.800457 | 0.797411 | 0.736481 | 0.736481 | 0.501142 | 0 | 0.006386 | 0.121705 | 1,783 | 51 | 97 | 34.960784 | 0.832056 | 0 | 0 | 0.166667 | 0 | 0 | 0.028043 | 0 | 0 | 0 | 0 | 0 | 0.266667 | 1 | 0.2 | true | 0.1 | 0.266667 | 0 | 0.466667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
61fe7c4ea5fd3dc7fb542785e0dfc47094660cc7 | 194 | py | Python | objects/__init__.py | ozgen92/classier | dd865978f9066e1572e13c8f74c52f82a549972d | [
"MIT"
] | null | null | null | objects/__init__.py | ozgen92/classier | dd865978f9066e1572e13c8f74c52f82a549972d | [
"MIT"
] | null | null | null | objects/__init__.py | ozgen92/classier | dd865978f9066e1572e13c8f74c52f82a549972d | [
"MIT"
] | null | null | null | from classier.objects.ClassMarker import ClassMarker
from classier.objects.Option import Option
from classier.objects.PersistentDict import PersistentDict
import classier.objects.saver as saver
| 38.8 | 58 | 0.876289 | 24 | 194 | 7.083333 | 0.375 | 0.352941 | 0.335294 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.082474 | 194 | 4 | 59 | 48.5 | 0.955056 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
114ff1eaf539412809db57834f421e33bbc2a117 | 2,169 | py | Python | crunch-scrunch/src/codegen/make_tuple_conversions.py | KeerthiYanda91/crunch | a6dfa38aa28161a07d65b20390aad9b10a01dbdd | [
"Apache-2.0"
] | 84 | 2015-01-06T07:39:29.000Z | 2022-01-21T07:14:25.000Z | crunch-scrunch/src/codegen/make_tuple_conversions.py | KeerthiYanda91/crunch | a6dfa38aa28161a07d65b20390aad9b10a01dbdd | [
"Apache-2.0"
] | 12 | 2016-03-21T21:26:42.000Z | 2021-02-02T17:20:05.000Z | crunch-scrunch/src/codegen/make_tuple_conversions.py | KeerthiYanda91/crunch | a6dfa38aa28161a07d65b20390aad9b10a01dbdd | [
"Apache-2.0"
] | 86 | 2015-02-16T17:13:00.000Z | 2021-11-10T23:11:24.000Z | #!/usr/bin/env python
#
# 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.
letters = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
print """/**
* 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.
*/"""
print "package org.apache.crunch.scrunch\n"
print "trait GeneratedTupleConversions {"
for j in range(5, 23):
lets = letters[0: j]
types = ", ".join(lets)
pth = ", ".join(["%s: PTypeH" % x for x in lets])
print " implicit def tuple%d[%s] = new PTypeH[(%s)] {" % (j, pth, types)
print " def get(ptf: PTypeFamily) = {"
implicits = ", ".join(["implicitly[PTypeH[%s]].get(ptf)" % x for x in lets])
print " ptf.tuple%d(%s)" % (j, implicits)
print " }"
print " }\n"
print "}"
| 41.711538 | 78 | 0.717842 | 319 | 2,169 | 4.880878 | 0.332288 | 0.077071 | 0.033398 | 0.041105 | 0.800257 | 0.800257 | 0.779705 | 0.779705 | 0.779705 | 0.779705 | 0 | 0.006787 | 0.184878 | 2,169 | 51 | 79 | 42.529412 | 0.873869 | 0.356385 | 0 | 0.064516 | 0 | 0 | 0.768505 | 0.0791 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.290323 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
fec5a4932d363e593742efee54939f436b543807 | 11,228 | py | Python | One_to_one/dataset_generation/createH5.py | amiryzd/Depth-guided-Image-Relighting | b65ac21ae0a9f371a91e86057b7c767b12a84409 | [
"MIT"
] | 23 | 2021-04-15T11:39:11.000Z | 2022-03-30T09:32:00.000Z | One_to_one/dataset_generation/createH5.py | amiryzd/Depth-guided-Image-Relighting | b65ac21ae0a9f371a91e86057b7c767b12a84409 | [
"MIT"
] | null | null | null | One_to_one/dataset_generation/createH5.py | amiryzd/Depth-guided-Image-Relighting | b65ac21ae0a9f371a91e86057b7c767b12a84409 | [
"MIT"
] | 4 | 2021-06-13T13:31:28.000Z | 2021-11-23T07:11:47.000Z | from __future__ import print_function
import cv2
import numpy as np
import glob, os
#import matplotlib.pyplot as plt
import sys
#import time
import h5py
import random
#from scipy import ndimage
import ntpath
import matplotlib.pyplot as plt
Shading_PATH='../training_patches_varied_256/results/'
DATA_PATH = '../training_patches_varied_256/input/'
LABEL_PATH = '../training_patches_varied_256/target/'
PATCH_PATH = '../h5/data/'
SIZE_INPUT = 256
SIZE_TARGET = 256
STRIDE = 128
count = 0
i = 1
total = 9334
h5fw = h5py.File(str(PATCH_PATH + str(SIZE_INPUT) + str(total) + '_' + 'training_albedo_1' + '.h5'), 'w')
names=glob.glob(LABEL_PATH+'*.png')
total=len(names)//4
def path_leaf(path):
head, tail = ntpath.split(path)
return tail or ntpath.basename(head)
ALBEDO=np.empty(shape=(total,SIZE_INPUT,SIZE_INPUT,3))
SHADING=np.empty(shape=(total,SIZE_INPUT,SIZE_INPUT,3))
INPUT = np.empty(shape=(total, SIZE_INPUT, SIZE_INPUT, 3))
TARGET = np.empty(shape=(total, SIZE_TARGET, SIZE_TARGET, 3))
DEPTH=np.empty(shape=(total,SIZE_INPUT,SIZE_INPUT,1))
k = 0
p = np.random.permutation(total)
# print(p)
# # names=names[np.random.permutation(len(names))]
# # names=name[0:39000]
#
for data_image in names[0:total]:
string_label = path_leaf(data_image)
string_shading='s'+string_label[3:]
string_data= 'inp' + string_label[3:]
string_depth='depth'+string_label[3:]
# print(string_data)
print(string_label)
shading_image_name=Shading_PATH+string_shading
data_image_name = DATA_PATH + string_data
depth_image_name=DATA_PATH+string_depth
#BI_img_name = BI_PATH + HR_img_name[12:19] + '.png'
# print(label_image_name)
imgShading=cv2.imread(shading_image_name)
imgData = cv2.imread(data_image_name)
imgLabel = cv2.imread(data_image)
imgDepth=cv2.imread(depth_image_name)[:,:,0:1]
# normalizing the input and target images
# imgShading_normalized=cv2.cvtColor(imgShading,cv2.COLOR_BGR2RGB)/255.0
imgShading_normalized=imgShading/255.0
imgData_normalized = imgData/255.0
imgLabel_normalized = imgLabel/255.0
imgAlbedo_normalized=imgLabel_normalized/(imgShading_normalized+.0001)
imgDepth_normalized=imgDepth/255.0
INPUT[p[k], :, :, :] = imgData_normalized
TARGET[p[k], :, :, :] =imgLabel_normalized
DEPTH[p[k],:,:,:]= imgDepth_normalized
ALBEDO[p[k],:,:,:]=imgAlbedo_normalized
SHADING[p[k],:,:,:]=imgShading_normalized
k = k + 1
print(str(k) + '-INPUT' + str(INPUT.shape) + '-TARGET' + str(TARGET.shape))
sys.stdout.flush() #?
dset_input = h5fw.create_dataset(name='INPUT', shape=INPUT.shape, data=INPUT, dtype=np.float32)
print('>>>>INPUT file generated')
dset_depth = h5fw.create_dataset(name='DEPTH', shape=DEPTH.shape, data=DEPTH, dtype=np.float32)
dset_target = h5fw.create_dataset(name='TARGET', shape=TARGET.shape, data=TARGET, dtype=np.float32)
dset_albedo = h5fw.create_dataset(name='ALBEDO', shape=ALBEDO.shape, data=ALBEDO, dtype=np.float32)
dset_shading = h5fw.create_dataset(name='SHADING', shape=SHADING.shape, data=SHADING, dtype=np.float32)
print('>>>>TARGET file generated')
print('>>>>save file' + 'training' + 'INPUT_' + str(SIZE_INPUT) + 'TARGET_' + str(SIZE_TARGET))
h5fw.close()
h5fw = h5py.File(str(PATCH_PATH + str(SIZE_INPUT) + str(total) + '_' + 'training_albedo_2' + '.h5'), 'r')
#
ALBEDO = np.empty(shape=(total, SIZE_INPUT, SIZE_INPUT, 3))
SHADING = np.empty(shape=(total, SIZE_INPUT, SIZE_INPUT, 3))
INPUT = np.empty(shape=(total, SIZE_INPUT, SIZE_INPUT, 3))
TARGET = np.empty(shape=(total, SIZE_TARGET, SIZE_TARGET, 3))
DEPTH = np.empty(shape=(total, SIZE_INPUT, SIZE_INPUT, 1))
k = 0
p = np.random.permutation(total)
print(p)
# names = glob.glob(LABEL_PATH + '*.png')[total:total*2]
for data_image in names[total:2*total]:
string_label = path_leaf(data_image)
string_shading = 's' + string_label[3:]
string_data = 'inp' + string_label[3:]
string_depth = 'depth' + string_label[3:]
# print(string_data)
print(string_label)
shading_image_name = Shading_PATH + string_shading
data_image_name = DATA_PATH + string_data
depth_image_name = DATA_PATH + string_depth
# BI_img_name = BI_PATH + HR_img_name[12:19] + '.png'
# print(label_image_name)
imgShading = cv2.imread(shading_image_name)
imgData = cv2.imread(data_image_name)
imgLabel = cv2.imread(data_image)
imgDepth = cv2.imread(depth_image_name)[:, :, 0:1]
# normalizing the input and target images
imgShading_normalized = cv2.cvtColor(imgShading, cv2.COLOR_BGR2RGB) / 255.0
imgData_normalized = imgData / 255.0
imgLabel_normalized = imgLabel / 255.0
imgAlbedo_normalized = imgLabel_normalized / (imgShading_normalized + .0001)
imgDepth_normalized = imgDepth / 255.0
INPUT[p[k], :, :, :] = imgLabel_normalized
TARGET[p[k], :, :, :] = imgData_normalized
DEPTH[p[k], :, :, :] = imgDepth_normalized
ALBEDO[p[k], :, :, :] = imgAlbedo_normalized
SHADING[p[k], :, :, :] = imgShading_normalized
k = k + 1
print(str(k) + '-INPUT' + str(INPUT.shape) + '-TARGET' + str(TARGET.shape))
sys.stdout.flush() # ?
dset_input = h5fw.create_dataset(name='INPUT', shape=INPUT.shape, data=INPUT, dtype=np.float32)
INPUT = None
print('>>>>INPUT file generated')
dset_depth = h5fw.create_dataset(name='DEPTH', shape=DEPTH.shape, data=DEPTH, dtype=np.float32)
dset_target = h5fw.create_dataset(name='TARGET', shape=TARGET.shape, data=TARGET, dtype=np.float32)
dset_albedo = h5fw.create_dataset(name='ALBEDO', shape=ALBEDO.shape, data=ALBEDO, dtype=np.float32)
dset_shading = h5fw.create_dataset(name='SHADING', shape=SHADING.shape, data=SHADING, dtype=np.float32)
print('>>>>TARGET file generated')
print('>>>>save file' + 'training' + 'INPUT_' + str(SIZE_INPUT) + 'TARGET_' + str(SIZE_TARGET))
h5fw.close()
h5fw = h5py.File(str(PATCH_PATH + str(SIZE_INPUT) + str(total) + '_' + 'training_albedo_3' + '.h5'), 'w')
ALBEDO = np.empty(shape=(total, SIZE_INPUT, SIZE_INPUT, 3))
SHADING = np.empty(shape=(total, SIZE_INPUT, SIZE_INPUT, 3))
INPUT = np.empty(shape=(total, SIZE_INPUT, SIZE_INPUT, 3))
TARGET = np.empty(shape=(total, SIZE_TARGET, SIZE_TARGET, 3))
DEPTH = np.empty(shape=(total, SIZE_INPUT, SIZE_INPUT, 1))
k = 0
p = np.random.permutation(total)
# print(p)
# names = glob.glob(LABEL_PATH + '*.png')[total:total*2]
for data_image in names[2*total:3*total]:
string_label = path_leaf(data_image)
string_shading = 's' + string_label[3:]
string_data = 'inp' + string_label[3:]
string_depth = 'depth' + string_label[3:]
# print(string_data)
print(string_label)
shading_image_name = Shading_PATH + string_shading
data_image_name = DATA_PATH + string_data
depth_image_name = DATA_PATH + string_depth
# BI_img_name = BI_PATH + HR_img_name[12:19] + '.png'
# print(label_image_name)
imgShading = cv2.imread(shading_image_name)
imgData = cv2.imread(data_image_name)
imgLabel = cv2.imread(data_image)
imgDepth = cv2.imread(depth_image_name)[:, :, 0:1]
# normalizing the input and target images
imgShading_normalized = cv2.cvtColor(imgShading, cv2.COLOR_BGR2RGB) / 255.0
imgData_normalized = imgData / 255.0
imgLabel_normalized = imgLabel / 255.0
imgAlbedo_normalized = imgLabel_normalized / (imgShading_normalized + .0001)
imgDepth_normalized = imgDepth / 255.0
INPUT[p[k], :, :, :] = imgLabel_normalized
TARGET[p[k], :, :, :] = imgData_normalized
DEPTH[p[k], :, :, :] = imgDepth_normalized
ALBEDO[p[k], :, :, :] = imgAlbedo_normalized
SHADING[p[k], :, :, :] = imgShading_normalized
k = k + 1
print(str(k) + '-INPUT' + str(INPUT.shape) + '-TARGET' + str(TARGET.shape))
sys.stdout.flush()
dset_input = h5fw.create_dataset(name='INPUT', shape=INPUT.shape, data=INPUT, dtype=np.float32)
INPUT = None
print('>>>>INPUT file generated')
dset_depth = h5fw.create_dataset(name='DEPTH', shape=DEPTH.shape, data=DEPTH, dtype=np.float32)
dset_target = h5fw.create_dataset(name='TARGET', shape=TARGET.shape, data=TARGET, dtype=np.float32)
dset_albedo = h5fw.create_dataset(name='ALBEDO', shape=ALBEDO.shape, data=ALBEDO, dtype=np.float32)
dset_shading = h5fw.create_dataset(name='SHADING', shape=SHADING.shape, data=SHADING, dtype=np.float32)
print('>>>>TARGET file generated')
print('>>>>save file' + 'training' + 'INPUT_' + str(SIZE_INPUT) + 'TARGET_' + str(SIZE_TARGET))
h5fw.close()
h5fw = h5py.File(str(PATCH_PATH + str(SIZE_INPUT) + str(total) + '_' + 'training_albedo_4' + '.h5'), 'w')
ALBEDO = np.empty(shape=(total, SIZE_INPUT, SIZE_INPUT, 3))
SHADING = np.empty(shape=(total, SIZE_INPUT, SIZE_INPUT, 3))
INPUT = np.empty(shape=(total, SIZE_INPUT, SIZE_INPUT, 3))
TARGET = np.empty(shape=(total, SIZE_TARGET, SIZE_TARGET, 3))
DEPTH = np.empty(shape=(total, SIZE_INPUT, SIZE_INPUT, 1))
k = 0
p = np.random.permutation(total)
# print(p)
# names = glob.glob(LABEL_PATH + '*.png')[total:total*2]
for data_image in names[3*total:4*total]:
string_label = path_leaf(data_image)
string_shading = 's' + string_label[3:]
string_data = 'inp' + string_label[3:]
string_depth = 'depth' + string_label[3:]
# print(string_data)
print(string_label)
shading_image_name = Shading_PATH + string_shading
data_image_name = DATA_PATH + string_data
depth_image_name = DATA_PATH + string_depth
# BI_img_name = BI_PATH + HR_img_name[12:19] + '.png'
# print(label_image_name)
imgShading = cv2.imread(shading_image_name)
imgData = cv2.imread(data_image_name)
imgLabel = cv2.imread(data_image)
imgDepth = cv2.imread(depth_image_name)[:, :, 0:1]
# normalizing the input and target images
imgShading_normalized = cv2.cvtColor(imgShading, cv2.COLOR_BGR2RGB) / 255.0
imgData_normalized = imgData / 255.0
imgLabel_normalized = imgLabel / 255.0
imgAlbedo_normalized = imgLabel_normalized / (imgShading_normalized + .0001)
imgDepth_normalized = imgDepth / 255.0
INPUT[p[k], :, :, :] = imgLabel_normalized
TARGET[p[k], :, :, :] = imgData_normalized
DEPTH[p[k], :, :, :] = imgDepth_normalized
ALBEDO[p[k], :, :, :] = imgAlbedo_normalized
SHADING[p[k], :, :, :] = imgShading_normalized
k = k + 1
print(str(k) + '-INPUT' + str(INPUT.shape) + '-TARGET' + str(TARGET.shape))
sys.stdout.flush() # ?
dset_input = h5fw.create_dataset(name='INPUT', shape=INPUT.shape, data=INPUT, dtype=np.float32)
INPUT = None
print('>>>>INPUT file generated')
dset_depth = h5fw.create_dataset(name='DEPTH', shape=DEPTH.shape, data=DEPTH, dtype=np.float32)
dset_target = h5fw.create_dataset(name='TARGET', shape=TARGET.shape, data=TARGET, dtype=np.float32)
dset_albedo = h5fw.create_dataset(name='ALBEDO', shape=ALBEDO.shape, data=ALBEDO, dtype=np.float32)
dset_shading = h5fw.create_dataset(name='SHADING', shape=SHADING.shape, data=SHADING, dtype=np.float32)
print('>>>>TARGET file generated')
print('>>>>save file' + 'training' + 'INPUT_' + str(SIZE_INPUT) + 'TARGET_' + str(SIZE_TARGET))
h5fw.close()
| 44.379447 | 106 | 0.693 | 1,556 | 11,228 | 4.778278 | 0.070051 | 0.04963 | 0.03228 | 0.04573 | 0.938399 | 0.917283 | 0.917283 | 0.913248 | 0.913248 | 0.913248 | 0 | 0.031634 | 0.158176 | 11,228 | 252 | 107 | 44.555556 | 0.754972 | 0.083986 | 0 | 0.82 | 0 | 0 | 0.075415 | 0.011402 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005 | false | 0 | 0.045 | 0 | 0.055 | 0.11 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
fee0df4059d4e64c0892cad947b6bec214dda31c | 34,093 | py | Python | tests/qis/test_pauli.py | BQSKit/bqskit | 8471f28299a7fb49a2d9d82b24e49c331c9dec22 | [
"BSD-3-Clause-LBNL"
] | 13 | 2021-05-26T21:32:26.000Z | 2022-03-15T17:48:10.000Z | tests/qis/test_pauli.py | BQSKit/bqskit | 8471f28299a7fb49a2d9d82b24e49c331c9dec22 | [
"BSD-3-Clause-LBNL"
] | 20 | 2021-05-26T20:17:15.000Z | 2022-02-27T20:04:10.000Z | tests/qis/test_pauli.py | BQSKit/bqskit | 8471f28299a7fb49a2d9d82b24e49c331c9dec22 | [
"BSD-3-Clause-LBNL"
] | 2 | 2021-10-05T16:00:47.000Z | 2021-10-08T01:30:06.000Z | """This module tests the pauli library in bqskit.qis.pauli."""
from __future__ import annotations
from typing import Any
import numpy as np
import pytest
from hypothesis import given
from hypothesis.strategies import integers
from bqskit.qis.pauli import PauliMatrices
from bqskit.qis.unitary.unitary import RealVector
from bqskit.utils.test.types import invalid_type_test
from bqskit.utils.test.types import valid_type_test
class TestPauliMatricesConstructor:
def in_array(self, needle: Any, haystack: Any) -> bool:
for elem in haystack:
if np.allclose(elem, needle):
return True
return False
@invalid_type_test(PauliMatrices)
def test_invalid_type(self) -> None:
pass
@given(integers(max_value=-1))
def test_invalid_value(self, size: int) -> None:
with pytest.raises(ValueError):
PauliMatrices(size)
def test_size_1(self) -> None:
num_qubits = 1
paulis = PauliMatrices(num_qubits)
assert len(paulis) == 4 ** num_qubits
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(I, paulis)
assert self.in_array(X, paulis)
assert self.in_array(Y, paulis)
assert self.in_array(Z, paulis)
def test_size_2(self) -> None:
num_qubits = 2
paulis = PauliMatrices(num_qubits)
assert len(paulis) == 4 ** num_qubits
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(X, X), paulis)
assert self.in_array(np.kron(X, Y), paulis)
assert self.in_array(np.kron(X, Z), paulis)
assert self.in_array(np.kron(X, I), paulis)
assert self.in_array(np.kron(Y, X), paulis)
assert self.in_array(np.kron(Y, Y), paulis)
assert self.in_array(np.kron(Y, Z), paulis)
assert self.in_array(np.kron(Y, I), paulis)
assert self.in_array(np.kron(Z, X), paulis)
assert self.in_array(np.kron(Z, Y), paulis)
assert self.in_array(np.kron(Z, Z), paulis)
assert self.in_array(np.kron(Z, I), paulis)
assert self.in_array(np.kron(I, X), paulis)
assert self.in_array(np.kron(I, Y), paulis)
assert self.in_array(np.kron(I, Z), paulis)
assert self.in_array(np.kron(I, I), paulis)
def test_size_3(self) -> None:
num_qubits = 3
paulis = PauliMatrices(num_qubits)
assert len(paulis) == 4 ** num_qubits
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(X, np.kron(X, X)), paulis)
assert self.in_array(np.kron(X, np.kron(X, Y)), paulis)
assert self.in_array(np.kron(X, np.kron(X, Z)), paulis)
assert self.in_array(np.kron(X, np.kron(X, I)), paulis)
assert self.in_array(np.kron(X, np.kron(Y, X)), paulis)
assert self.in_array(np.kron(X, np.kron(Y, Y)), paulis)
assert self.in_array(np.kron(X, np.kron(Y, Z)), paulis)
assert self.in_array(np.kron(X, np.kron(Y, I)), paulis)
assert self.in_array(np.kron(X, np.kron(Z, X)), paulis)
assert self.in_array(np.kron(X, np.kron(Z, Y)), paulis)
assert self.in_array(np.kron(X, np.kron(Z, Z)), paulis)
assert self.in_array(np.kron(X, np.kron(Z, I)), paulis)
assert self.in_array(np.kron(X, np.kron(I, X)), paulis)
assert self.in_array(np.kron(X, np.kron(I, Y)), paulis)
assert self.in_array(np.kron(X, np.kron(I, Z)), paulis)
assert self.in_array(np.kron(X, np.kron(I, I)), paulis)
assert self.in_array(np.kron(Y, np.kron(X, X)), paulis)
assert self.in_array(np.kron(Y, np.kron(X, Y)), paulis)
assert self.in_array(np.kron(Y, np.kron(X, Z)), paulis)
assert self.in_array(np.kron(Y, np.kron(X, I)), paulis)
assert self.in_array(np.kron(Y, np.kron(Y, X)), paulis)
assert self.in_array(np.kron(Y, np.kron(Y, Y)), paulis)
assert self.in_array(np.kron(Y, np.kron(Y, Z)), paulis)
assert self.in_array(np.kron(Y, np.kron(Y, I)), paulis)
assert self.in_array(np.kron(Y, np.kron(Z, X)), paulis)
assert self.in_array(np.kron(Y, np.kron(Z, Y)), paulis)
assert self.in_array(np.kron(Y, np.kron(Z, Z)), paulis)
assert self.in_array(np.kron(Y, np.kron(Z, I)), paulis)
assert self.in_array(np.kron(Y, np.kron(I, X)), paulis)
assert self.in_array(np.kron(Y, np.kron(I, Y)), paulis)
assert self.in_array(np.kron(Y, np.kron(I, Z)), paulis)
assert self.in_array(np.kron(Y, np.kron(I, I)), paulis)
assert self.in_array(np.kron(Z, np.kron(X, X)), paulis)
assert self.in_array(np.kron(Z, np.kron(X, Y)), paulis)
assert self.in_array(np.kron(Z, np.kron(X, Z)), paulis)
assert self.in_array(np.kron(Z, np.kron(X, I)), paulis)
assert self.in_array(np.kron(Z, np.kron(Y, X)), paulis)
assert self.in_array(np.kron(Z, np.kron(Y, Y)), paulis)
assert self.in_array(np.kron(Z, np.kron(Y, Z)), paulis)
assert self.in_array(np.kron(Z, np.kron(Y, I)), paulis)
assert self.in_array(np.kron(Z, np.kron(Z, X)), paulis)
assert self.in_array(np.kron(Z, np.kron(Z, Y)), paulis)
assert self.in_array(np.kron(Z, np.kron(Z, Z)), paulis)
assert self.in_array(np.kron(Z, np.kron(Z, I)), paulis)
assert self.in_array(np.kron(Z, np.kron(I, X)), paulis)
assert self.in_array(np.kron(Z, np.kron(I, Y)), paulis)
assert self.in_array(np.kron(Z, np.kron(I, Z)), paulis)
assert self.in_array(np.kron(Z, np.kron(I, I)), paulis)
assert self.in_array(np.kron(I, np.kron(X, X)), paulis)
assert self.in_array(np.kron(I, np.kron(X, Y)), paulis)
assert self.in_array(np.kron(I, np.kron(X, Z)), paulis)
assert self.in_array(np.kron(I, np.kron(X, I)), paulis)
assert self.in_array(np.kron(I, np.kron(Y, X)), paulis)
assert self.in_array(np.kron(I, np.kron(Y, Y)), paulis)
assert self.in_array(np.kron(I, np.kron(Y, Z)), paulis)
assert self.in_array(np.kron(I, np.kron(Y, I)), paulis)
assert self.in_array(np.kron(I, np.kron(Z, X)), paulis)
assert self.in_array(np.kron(I, np.kron(Z, Y)), paulis)
assert self.in_array(np.kron(I, np.kron(Z, Z)), paulis)
assert self.in_array(np.kron(I, np.kron(Z, I)), paulis)
assert self.in_array(np.kron(I, np.kron(I, X)), paulis)
assert self.in_array(np.kron(I, np.kron(I, Y)), paulis)
assert self.in_array(np.kron(I, np.kron(I, Z)), paulis)
assert self.in_array(np.kron(I, np.kron(I, I)), paulis)
class TestPauliMatricesGetProjectionMatrices:
def in_array(self, needle: Any, haystack: Any) -> bool:
for elem in haystack:
if np.allclose(elem, needle):
return True
return False
@valid_type_test(PauliMatrices(1).get_projection_matrices)
def test_valid_type(self) -> None:
pass
@invalid_type_test(PauliMatrices(1).get_projection_matrices)
def test_invalid_type(self) -> None:
pass
@pytest.mark.parametrize('invalid_qubit', [-5, -2, 4, 10])
def test_invalid_value_1(self, invalid_qubit: int) -> None:
paulis = PauliMatrices(4)
with pytest.raises(ValueError):
paulis.get_projection_matrices([invalid_qubit])
@pytest.mark.parametrize('invalid_q_set', [[0, 0], [0, 1, 2, 4]])
def test_invalid_value_2(self, invalid_q_set: list[int]) -> None:
paulis = PauliMatrices(4)
with pytest.raises(ValueError):
paulis.get_projection_matrices(invalid_q_set)
def test_proj_3_0(self) -> None:
num_qubits = 3
qubit_proj = 0
paulis = PauliMatrices(num_qubits)
projs = paulis.get_projection_matrices([qubit_proj])
assert len(projs) == 4
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(np.kron(X, I), I), projs)
assert self.in_array(np.kron(np.kron(Y, I), I), projs)
assert self.in_array(np.kron(np.kron(Z, I), I), projs)
assert self.in_array(np.kron(np.kron(I, I), I), projs)
def test_proj_3_1(self) -> None:
num_qubits = 3
qubit_proj = 1
paulis = PauliMatrices(num_qubits)
projs = paulis.get_projection_matrices([qubit_proj])
assert len(projs) == 4
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(np.kron(I, X), I), projs)
assert self.in_array(np.kron(np.kron(I, Y), I), projs)
assert self.in_array(np.kron(np.kron(I, Z), I), projs)
assert self.in_array(np.kron(np.kron(I, I), I), projs)
def test_proj_3_2(self) -> None:
num_qubits = 3
qubit_proj = 2
paulis = PauliMatrices(num_qubits)
projs = paulis.get_projection_matrices([qubit_proj])
assert len(projs) == 4
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(np.kron(I, I), X), projs)
assert self.in_array(np.kron(np.kron(I, I), Y), projs)
assert self.in_array(np.kron(np.kron(I, I), Z), projs)
assert self.in_array(np.kron(np.kron(I, I), I), projs)
def test_proj_4_0(self) -> None:
num_qubits = 4
qubit_proj = 0
paulis = PauliMatrices(num_qubits)
projs = paulis.get_projection_matrices([qubit_proj])
assert len(projs) == 4
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(np.kron(np.kron(X, I), I), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(Y, I), I), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(Z, I), I), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, I), I), I), projs)
def test_proj_4_1(self) -> None:
num_qubits = 4
qubit_proj = 1
paulis = PauliMatrices(num_qubits)
projs = paulis.get_projection_matrices([qubit_proj])
assert len(projs) == 4
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(np.kron(np.kron(I, X), I), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, Y), I), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, Z), I), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, I), I), I), projs)
def test_proj_4_2(self) -> None:
num_qubits = 4
qubit_proj = 2
paulis = PauliMatrices(num_qubits)
projs = paulis.get_projection_matrices([qubit_proj])
assert len(projs) == 4
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(np.kron(np.kron(I, I), X), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, I), Y), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, I), Z), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, I), I), I), projs)
def test_proj_4_3(self) -> None:
num_qubits = 4
qubit_proj = 3
paulis = PauliMatrices(num_qubits)
projs = paulis.get_projection_matrices([qubit_proj])
assert len(projs) == 4
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(np.kron(np.kron(I, I), I), X), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, I), I), Y), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, I), I), Z), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, I), I), I), projs)
def test_proj_3_01(self) -> None:
num_qubits = 3
qubit_pro1 = 0
qubit_pro2 = 1
paulis = PauliMatrices(num_qubits)
projs = paulis.get_projection_matrices([qubit_pro1, qubit_pro2])
assert len(projs) == 16
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(np.kron(X, I), I), projs)
assert self.in_array(np.kron(np.kron(Y, I), I), projs)
assert self.in_array(np.kron(np.kron(Z, I), I), projs)
assert self.in_array(np.kron(np.kron(I, I), I), projs)
assert self.in_array(np.kron(np.kron(X, X), I), projs)
assert self.in_array(np.kron(np.kron(Y, X), I), projs)
assert self.in_array(np.kron(np.kron(Z, X), I), projs)
assert self.in_array(np.kron(np.kron(I, X), I), projs)
assert self.in_array(np.kron(np.kron(X, Y), I), projs)
assert self.in_array(np.kron(np.kron(Y, Y), I), projs)
assert self.in_array(np.kron(np.kron(Z, Y), I), projs)
assert self.in_array(np.kron(np.kron(I, Y), I), projs)
assert self.in_array(np.kron(np.kron(X, Z), I), projs)
assert self.in_array(np.kron(np.kron(Y, Z), I), projs)
assert self.in_array(np.kron(np.kron(Z, Z), I), projs)
assert self.in_array(np.kron(np.kron(I, Z), I), projs)
def test_proj_3_02(self) -> None:
num_qubits = 3
qubit_pro1 = 0
qubit_pro2 = 2
paulis = PauliMatrices(num_qubits)
projs = paulis.get_projection_matrices([qubit_pro1, qubit_pro2])
assert len(projs) == 16
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(np.kron(X, I), I), projs)
assert self.in_array(np.kron(np.kron(Y, I), I), projs)
assert self.in_array(np.kron(np.kron(Z, I), I), projs)
assert self.in_array(np.kron(np.kron(I, I), I), projs)
assert self.in_array(np.kron(np.kron(X, I), X), projs)
assert self.in_array(np.kron(np.kron(Y, I), X), projs)
assert self.in_array(np.kron(np.kron(Z, I), X), projs)
assert self.in_array(np.kron(np.kron(I, I), X), projs)
assert self.in_array(np.kron(np.kron(X, I), Y), projs)
assert self.in_array(np.kron(np.kron(Y, I), Y), projs)
assert self.in_array(np.kron(np.kron(Z, I), Y), projs)
assert self.in_array(np.kron(np.kron(I, I), Y), projs)
assert self.in_array(np.kron(np.kron(X, I), Z), projs)
assert self.in_array(np.kron(np.kron(Y, I), Z), projs)
assert self.in_array(np.kron(np.kron(Z, I), Z), projs)
assert self.in_array(np.kron(np.kron(I, I), Z), projs)
def test_proj_3_12(self) -> None:
num_qubits = 3
qubit_pro1 = 1
qubit_pro2 = 2
paulis = PauliMatrices(num_qubits)
projs = paulis.get_projection_matrices([qubit_pro1, qubit_pro2])
assert len(projs) == 16
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(np.kron(I, X), I), projs)
assert self.in_array(np.kron(np.kron(I, Y), I), projs)
assert self.in_array(np.kron(np.kron(I, Z), I), projs)
assert self.in_array(np.kron(np.kron(I, I), I), projs)
assert self.in_array(np.kron(np.kron(I, X), X), projs)
assert self.in_array(np.kron(np.kron(I, Y), X), projs)
assert self.in_array(np.kron(np.kron(I, Z), X), projs)
assert self.in_array(np.kron(np.kron(I, I), X), projs)
assert self.in_array(np.kron(np.kron(I, X), Y), projs)
assert self.in_array(np.kron(np.kron(I, Y), Y), projs)
assert self.in_array(np.kron(np.kron(I, Z), Y), projs)
assert self.in_array(np.kron(np.kron(I, I), Y), projs)
assert self.in_array(np.kron(np.kron(I, X), Z), projs)
assert self.in_array(np.kron(np.kron(I, Y), Z), projs)
assert self.in_array(np.kron(np.kron(I, Z), Z), projs)
assert self.in_array(np.kron(np.kron(I, I), Z), projs)
def test_proj_3_012(self) -> None:
num_qubits = 3
paulis = PauliMatrices(num_qubits)
projs = paulis.get_projection_matrices([0, 1, 2])
assert len(projs) == 64
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(np.kron(I, X), I), projs)
assert self.in_array(np.kron(np.kron(I, Y), I), projs)
assert self.in_array(np.kron(np.kron(I, Z), I), projs)
assert self.in_array(np.kron(np.kron(I, I), I), projs)
assert self.in_array(np.kron(np.kron(I, X), X), projs)
assert self.in_array(np.kron(np.kron(I, Y), X), projs)
assert self.in_array(np.kron(np.kron(I, Z), X), projs)
assert self.in_array(np.kron(np.kron(I, I), X), projs)
assert self.in_array(np.kron(np.kron(I, X), Y), projs)
assert self.in_array(np.kron(np.kron(I, Y), Y), projs)
assert self.in_array(np.kron(np.kron(I, Z), Y), projs)
assert self.in_array(np.kron(np.kron(I, I), Y), projs)
assert self.in_array(np.kron(np.kron(I, X), Z), projs)
assert self.in_array(np.kron(np.kron(I, Y), Z), projs)
assert self.in_array(np.kron(np.kron(I, Z), Z), projs)
assert self.in_array(np.kron(np.kron(I, I), Z), projs)
assert self.in_array(np.kron(np.kron(X, X), I), projs)
assert self.in_array(np.kron(np.kron(X, Y), I), projs)
assert self.in_array(np.kron(np.kron(X, Z), I), projs)
assert self.in_array(np.kron(np.kron(X, I), I), projs)
assert self.in_array(np.kron(np.kron(X, X), X), projs)
assert self.in_array(np.kron(np.kron(X, Y), X), projs)
assert self.in_array(np.kron(np.kron(X, Z), X), projs)
assert self.in_array(np.kron(np.kron(X, I), X), projs)
assert self.in_array(np.kron(np.kron(X, X), Y), projs)
assert self.in_array(np.kron(np.kron(X, Y), Y), projs)
assert self.in_array(np.kron(np.kron(X, Z), Y), projs)
assert self.in_array(np.kron(np.kron(X, I), Y), projs)
assert self.in_array(np.kron(np.kron(X, X), Z), projs)
assert self.in_array(np.kron(np.kron(X, Y), Z), projs)
assert self.in_array(np.kron(np.kron(X, Z), Z), projs)
assert self.in_array(np.kron(np.kron(X, I), Z), projs)
assert self.in_array(np.kron(np.kron(Y, X), I), projs)
assert self.in_array(np.kron(np.kron(Y, Y), I), projs)
assert self.in_array(np.kron(np.kron(Y, Z), I), projs)
assert self.in_array(np.kron(np.kron(Y, I), I), projs)
assert self.in_array(np.kron(np.kron(Y, X), X), projs)
assert self.in_array(np.kron(np.kron(Y, Y), X), projs)
assert self.in_array(np.kron(np.kron(Y, Z), X), projs)
assert self.in_array(np.kron(np.kron(Y, I), X), projs)
assert self.in_array(np.kron(np.kron(Y, X), Y), projs)
assert self.in_array(np.kron(np.kron(Y, Y), Y), projs)
assert self.in_array(np.kron(np.kron(Y, Z), Y), projs)
assert self.in_array(np.kron(np.kron(Y, I), Y), projs)
assert self.in_array(np.kron(np.kron(Y, X), Z), projs)
assert self.in_array(np.kron(np.kron(Y, Y), Z), projs)
assert self.in_array(np.kron(np.kron(Y, Z), Z), projs)
assert self.in_array(np.kron(np.kron(Y, I), Z), projs)
assert self.in_array(np.kron(np.kron(Z, X), I), projs)
assert self.in_array(np.kron(np.kron(Z, Y), I), projs)
assert self.in_array(np.kron(np.kron(Z, Z), I), projs)
assert self.in_array(np.kron(np.kron(Z, I), I), projs)
assert self.in_array(np.kron(np.kron(Z, X), X), projs)
assert self.in_array(np.kron(np.kron(Z, Y), X), projs)
assert self.in_array(np.kron(np.kron(Z, Z), X), projs)
assert self.in_array(np.kron(np.kron(Z, I), X), projs)
assert self.in_array(np.kron(np.kron(Z, X), Y), projs)
assert self.in_array(np.kron(np.kron(Z, Y), Y), projs)
assert self.in_array(np.kron(np.kron(Z, Z), Y), projs)
assert self.in_array(np.kron(np.kron(Z, I), Y), projs)
assert self.in_array(np.kron(np.kron(Z, X), Z), projs)
assert self.in_array(np.kron(np.kron(Z, Y), Z), projs)
assert self.in_array(np.kron(np.kron(Z, Z), Z), projs)
assert self.in_array(np.kron(np.kron(Z, I), Z), projs)
def test_proj_4_02(self) -> None:
num_qubits = 4
qubit_pro1 = 0
qubit_pro2 = 2
paulis = PauliMatrices(num_qubits)
projs = paulis.get_projection_matrices([qubit_pro1, qubit_pro2])
assert len(projs) == 16
I = np.array([[1, 0], [0, 1]], dtype=np.complex128)
X = np.array([[0, 1], [1, 0]], dtype=np.complex128)
Y = np.array([[0, -1j], [1j, 0]], dtype=np.complex128)
Z = np.array([[1, 0], [0, -1]], dtype=np.complex128)
assert self.in_array(np.kron(np.kron(np.kron(X, I), I), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(Y, I), I), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(Z, I), I), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, I), I), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(X, I), X), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(Y, I), X), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(Z, I), X), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, I), X), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(X, I), Y), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(Y, I), Y), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(Z, I), Y), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, I), Y), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(X, I), Z), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(Y, I), Z), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(Z, I), Z), I), projs)
assert self.in_array(np.kron(np.kron(np.kron(I, I), Z), I), projs)
class TestPauliMatricesDotProduct:
@pytest.mark.parametrize('invalid_alpha', [[1.1] * i for i in range(4)])
def test_invalid_value(self, invalid_alpha: RealVector) -> None:
with pytest.raises(ValueError):
PauliMatrices(1).dot_product(invalid_alpha)
@pytest.mark.parametrize(
'alpha, prod', [
([1, 0, 0, 0], PauliMatrices.I),
([0, 1, 0, 0], PauliMatrices.X),
([0, 0, 1, 0], PauliMatrices.Y),
([0, 0, 0, 1], PauliMatrices.Z),
([1, 0, 0, 1], PauliMatrices.I + PauliMatrices.Z),
([0, 2, 0, 1], 2 * PauliMatrices.X + PauliMatrices.Z),
(
[1, 0, 3, 1],
PauliMatrices.I
+ 3 * PauliMatrices.Y
+ PauliMatrices.Z,
),
(
[91.3, 1.3, 1.7, 1],
91.3 * PauliMatrices.I
+ 1.3 * PauliMatrices.X
+ 1.7 * PauliMatrices.Y
+ PauliMatrices.Z,
),
],
)
def test_size_1(self, alpha: RealVector, prod: np.ndarray) -> None:
assert np.allclose(PauliMatrices(1).dot_product(alpha), prod)
@pytest.mark.parametrize(
'alpha, prod', [
(
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
np.kron(PauliMatrices.I, PauliMatrices.I),
),
(
[0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
np.kron(PauliMatrices.I, PauliMatrices.X),
),
(
[0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
np.kron(PauliMatrices.I, PauliMatrices.Y),
),
(
[0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
np.kron(PauliMatrices.I, PauliMatrices.Z),
),
(
[0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
np.kron(PauliMatrices.X, PauliMatrices.I),
),
(
[0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
np.kron(PauliMatrices.X, PauliMatrices.X),
),
(
[0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0],
np.kron(PauliMatrices.X, PauliMatrices.Y),
),
(
[0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0],
np.kron(PauliMatrices.X, PauliMatrices.Z),
),
(
[0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0],
np.kron(PauliMatrices.Y, PauliMatrices.I),
),
(
[0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0],
np.kron(PauliMatrices.Y, PauliMatrices.X),
),
(
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0],
np.kron(PauliMatrices.Y, PauliMatrices.Y),
),
(
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0],
np.kron(PauliMatrices.Y, PauliMatrices.Z),
),
(
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0],
np.kron(PauliMatrices.Z, PauliMatrices.I),
),
(
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0],
np.kron(PauliMatrices.Z, PauliMatrices.X),
),
(
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0],
np.kron(PauliMatrices.Z, PauliMatrices.Y),
),
(
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1],
np.kron(PauliMatrices.Z, PauliMatrices.Z),
),
(
[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1],
np.kron(PauliMatrices.I, PauliMatrices.I)
+ np.kron(PauliMatrices.Z, PauliMatrices.Z),
),
(
[1.8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 91.7],
1.8 * np.kron(PauliMatrices.I, PauliMatrices.I)
+ 91.7 * np.kron(PauliMatrices.Z, PauliMatrices.Z),
),
],
)
def test_size_2(self, alpha: RealVector, prod: np.ndarray) -> None:
assert np.allclose(PauliMatrices(2).dot_product(alpha), prod)
class TestPauliMatricesFromString:
def in_array(self, needle: Any, haystack: Any) -> bool:
for elem in haystack:
if not needle.shape == elem.shape:
continue
if np.allclose(elem, needle):
return True
return False
@valid_type_test(PauliMatrices.from_string)
def test_valid_type(self) -> None:
pass
@invalid_type_test(PauliMatrices.from_string)
def test_invalid_type(self) -> None:
pass
@pytest.mark.parametrize(
'invalid_str', [
'ABC',
'IXYZA',
'\t AIXYZ ,, \n\r\tabc\t',
'IXYZ+',
'IXYZ, IXA',
'WXYZ, XYZ',
],
)
def test_invalid_value(self, invalid_str: str) -> None:
with pytest.raises(ValueError):
PauliMatrices.from_string(invalid_str)
@pytest.mark.parametrize(
'pauli_str, pauli_mat', [
(
'XYZ',
np.kron(
np.kron(
PauliMatrices.X,
PauliMatrices.Y,
),
PauliMatrices.Z,
),
),
(
'XYX',
np.kron(
np.kron(
PauliMatrices.X,
PauliMatrices.Y,
),
PauliMatrices.X,
),
),
(
'XXI',
np.kron(
np.kron(
PauliMatrices.X,
PauliMatrices.X,
),
PauliMatrices.I,
),
),
('\t XY ,,\n\r\t\t', np.kron(PauliMatrices.X, PauliMatrices.Y)),
],
)
def test_single(self, pauli_str: str, pauli_mat: np.ndarray) -> None:
assert isinstance(PauliMatrices.from_string(pauli_str), np.ndarray)
assert np.allclose(
np.array(PauliMatrices.from_string(pauli_str)),
pauli_mat,
)
@pytest.mark.parametrize(
'pauli_str, pauli_mats', [
(
'XYZ, XYZ', [
np.kron(
np.kron(
PauliMatrices.X,
PauliMatrices.Y,
),
PauliMatrices.Z,
),
np.kron(
np.kron(
PauliMatrices.X,
PauliMatrices.Y,
),
PauliMatrices.Z,
),
],
),
(
'XYZ, XII', [
np.kron(
np.kron(
PauliMatrices.X,
PauliMatrices.Y,
),
PauliMatrices.Z,
),
np.kron(
np.kron(
PauliMatrices.X,
PauliMatrices.I,
),
PauliMatrices.I,
),
],
),
(
'XYZ, XII, IIX', [
np.kron(
np.kron(
PauliMatrices.X,
PauliMatrices.Y,
),
PauliMatrices.Z,
),
np.kron(
np.kron(
PauliMatrices.X,
PauliMatrices.I,
),
PauliMatrices.I,
),
np.kron(
np.kron(
PauliMatrices.I,
PauliMatrices.I,
),
PauliMatrices.X,
),
],
),
(
'XYZ, XII, IIX, \t\n\r ,, \t\n\rIXXY', [
np.kron(
np.kron(
PauliMatrices.X,
PauliMatrices.Y,
),
PauliMatrices.Z,
),
np.kron(
np.kron(
PauliMatrices.X,
PauliMatrices.I,
),
PauliMatrices.I,
),
np.kron(
np.kron(
PauliMatrices.I,
PauliMatrices.I,
),
PauliMatrices.X,
),
np.kron(
np.kron(
np.kron(
PauliMatrices.I,
PauliMatrices.X,
),
PauliMatrices.X,
),
PauliMatrices.Y,
),
],
),
],
)
def test_multi(self, pauli_str: str, pauli_mats: np.ndarray) -> None:
paulis = PauliMatrices.from_string(pauli_str)
assert isinstance(paulis, list)
assert all(isinstance(pauli, np.ndarray) for pauli in paulis)
assert len(paulis) == len(pauli_mats)
assert all(self.in_array(pauli, pauli_mats) for pauli in paulis)
| 42.776662 | 77 | 0.523011 | 5,093 | 34,093 | 3.409582 | 0.026507 | 0.185891 | 0.152663 | 0.234955 | 0.92243 | 0.901641 | 0.86277 | 0.840829 | 0.840656 | 0.82816 | 0 | 0.037996 | 0.31373 | 34,093 | 796 | 78 | 42.830402 | 0.704193 | 0.001643 | 0 | 0.582402 | 0 | 0 | 0.007611 | 0 | 0 | 0 | 0 | 0 | 0.367318 | 1 | 0.044693 | false | 0.006983 | 0.013966 | 0 | 0.072626 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
3a1b3fe85c322c09c8af9f224f532083c6e75afb | 3,219 | py | Python | q2_api_client/clients/sdk/sdk_client.py | jcook00/q2-api-client | 4431af164eb4baf52e26e8842e017cad1609a279 | [
"BSD-2-Clause"
] | null | null | null | q2_api_client/clients/sdk/sdk_client.py | jcook00/q2-api-client | 4431af164eb4baf52e26e8842e017cad1609a279 | [
"BSD-2-Clause"
] | null | null | null | q2_api_client/clients/sdk/sdk_client.py | jcook00/q2-api-client | 4431af164eb4baf52e26e8842e017cad1609a279 | [
"BSD-2-Clause"
] | null | null | null | from q2_api_client.clients.base_q2_client import BaseQ2Client
from q2_api_client.endpoints.sdk_endpoints import SDKEndpoint
class SDKClient(BaseQ2Client):
def get_passthrough_route(self, endpoint):
"""GET /sdk/{endpoint}
:param str endpoint: path parameter
:return: Response object
:rtype: requests.Response
"""
sdk_endpoint = SDKEndpoint.ENDPOINT.value.format(endpoint=endpoint)
return self._get(url=self._build_url(sdk_endpoint))
def delete_passthrough_route(self, endpoint):
"""DELETE /sdk/{endpoint}
:param str endpoint: path parameter
:return: Response object
:rtype: requests.Response
"""
sdk_endpoint = SDKEndpoint.ENDPOINT.value.format(endpoint=endpoint)
return self._delete(url=self._build_url(sdk_endpoint))
def create_passthrough_route(self, endpoint):
"""POST /sdk/{endpoint}
:param str endpoint: path parameter
:return: Response object
:rtype: requests.Response
"""
sdk_endpoint = SDKEndpoint.ENDPOINT.value.format(endpoint=endpoint)
return self._post(url=self._build_url(sdk_endpoint))
def update_passthrough_route(self, endpoint):
"""PUT /sdk/{endpoint}
:param str endpoint: path parameter
:return: Response object
:rtype: requests.Response
"""
sdk_endpoint = SDKEndpoint.ENDPOINT.value.format(endpoint=endpoint)
return self._put(url=self._build_url(sdk_endpoint))
def get_passthrough_route_with_path(self, endpoint, path):
"""GET /sdk/{endpoint}/{path}
:param str endpoint: path parameter
:param str path: path parameter
:return: Response object
:rtype: requests.Response
"""
sdk_endpoint = SDKEndpoint.ENDPOINT_PATH.value.format(endpoint=endpoint, path=path)
return self._get(url=self._build_url(sdk_endpoint))
def delete_passthrough_route_with_path(self, endpoint, path):
"""DELETE /sdk/{endpoint}/{path}
:param str endpoint: path parameter
:param str path: path parameter
:return: Response object
:rtype: requests.Response
"""
sdk_endpoint = SDKEndpoint.ENDPOINT_PATH.value.format(endpoint=endpoint, path=path)
return self._delete(url=self._build_url(sdk_endpoint))
def create_passthrough_route_with_path(self, endpoint, path):
"""POST /sdk/{endpoint}/{path}
:param str endpoint: path parameter
:param str path: path parameter
:return: Response object
:rtype: requests.Response
"""
sdk_endpoint = SDKEndpoint.ENDPOINT_PATH.value.format(endpoint=endpoint, path=path)
return self._post(url=self._build_url(sdk_endpoint))
def update_passthrough_route_with_path(self, endpoint, path):
"""PUT /sdk/{endpoint}/{path}
:param str endpoint: path parameter
:param str path: path parameter
:return: Response object
:rtype: requests.Response
"""
sdk_endpoint = SDKEndpoint.ENDPOINT_PATH.value.format(endpoint=endpoint, path=path)
return self._put(url=self._build_url(sdk_endpoint))
| 35.766667 | 91 | 0.672258 | 366 | 3,219 | 5.70765 | 0.103825 | 0.126376 | 0.061273 | 0.076592 | 0.887027 | 0.887027 | 0.887027 | 0.831977 | 0.831977 | 0.804213 | 0 | 0.002014 | 0.228642 | 3,219 | 89 | 92 | 36.168539 | 0.839307 | 0.319043 | 0 | 0.592593 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.296296 | false | 0.296296 | 0.074074 | 0 | 0.703704 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 9 |
3a2efcf4f4c889f3c86d0d331f0537b894d1e378 | 2,352 | py | Python | base/tests/test_metrics.py | mhernan88/detection-enhancer | c7825ea6a22633755f2b74279ab27b886fcda8e8 | [
"Apache-2.0"
] | null | null | null | base/tests/test_metrics.py | mhernan88/detection-enhancer | c7825ea6a22633755f2b74279ab27b886fcda8e8 | [
"Apache-2.0"
] | 1 | 2020-10-26T21:39:15.000Z | 2020-10-26T21:39:15.000Z | base/tests/test_metrics.py | mhernan88/detection-enhancer | c7825ea6a22633755f2b74279ab27b886fcda8e8 | [
"Apache-2.0"
] | null | null | null | import pytest
import numpy as np
from od_toolbelt.nms.metrics import DefaultIntersectionOverTheUnion
def setup_metrics_overlap():
bounding_box1 = np.array(((0.10, 0.30), (0.20, 0.40)), dtype=np.float64)
bounding_box2 = np.array(((0.11, 0.31), (0.21, 0.41)), dtype=np.float64)
return bounding_box1, bounding_box2
def setup_metrics_no_overlap():
bounding_box1 = np.array(((0.10, 0.30), (0.20, 0.40)), dtype=np.float64)
bounding_box2 = np.array(((0.40, 0.60), (0.21, 0.41)), dtype=np.float64)
return bounding_box1, bounding_box2
def setup_metrics_no_overlap2():
bounding_box1 = np.array(((0.10, 0.10), (0.20, 0.20)), dtype=np.float64)
bounding_box2 = np.array(((0.30, 0.30), (0.40, 0.40)), dtype=np.float64)
return bounding_box1, bounding_box2
def test_diou_compute_overlap():
bounding_box1, bounding_box2 = setup_metrics_overlap()
metric = DefaultIntersectionOverTheUnion(0.01, "gte")
metric_value = metric.compute(bounding_box1, bounding_box2)
assert metric_value == pytest.approx(0.6806, 0.01)
def test_diou_compute_no_overlap():
bounding_box1, bounding_box2 = setup_metrics_no_overlap()
metric = DefaultIntersectionOverTheUnion(0.01, "gte")
metric_value = metric.compute(bounding_box1, bounding_box2)
assert metric_value == pytest.approx(0, 0.01)
def test_diou_compute_no_overlap2():
bounding_box1, bounding_box2 = setup_metrics_no_overlap2()
metric = DefaultIntersectionOverTheUnion(0.01, "gte")
metric_value = metric.compute(bounding_box1, bounding_box2)
assert metric_value == pytest.approx(0, 0.01)
def test_diou_within_range_overlap():
bounding_box1, bounding_box2 = setup_metrics_overlap()
metric = DefaultIntersectionOverTheUnion(0.01, "gte")
# Metric returns True if computed value is greater than or equal to 0.01
# (i.e. if the two boxes overlap), else False.
metric_flag = metric.overlap(bounding_box1, bounding_box2)
assert metric_flag
def test_diou_within_range_no_overlap():
bounding_box1, bounding_box2 = setup_metrics_no_overlap()
metric = DefaultIntersectionOverTheUnion(0.01, "gte")
# Metric returns True if computed value is greater than or equal to 0.01
# (i.e. if the two boxes overlap), else False.
metric_flag = metric.overlap(bounding_box1, bounding_box2)
assert not metric_flag
| 38.557377 | 76 | 0.736395 | 343 | 2,352 | 4.804665 | 0.186589 | 0.116505 | 0.157767 | 0.18932 | 0.885316 | 0.863471 | 0.85983 | 0.804612 | 0.783981 | 0.755461 | 0 | 0.077961 | 0.149235 | 2,352 | 60 | 77 | 39.2 | 0.745627 | 0.098214 | 0 | 0.525 | 0 | 0 | 0.007089 | 0 | 0 | 0 | 0 | 0 | 0.125 | 1 | 0.2 | false | 0 | 0.075 | 0 | 0.35 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
28df82a11910195e902ec2212e07a3ab7cc47d00 | 5,027 | py | Python | Improving a Program.py | cjatomu/cjatomu.github.io | acf92a63cb66764a5348925575b7d052f8cabeab | [
"MIT"
] | null | null | null | Improving a Program.py | cjatomu/cjatomu.github.io | acf92a63cb66764a5348925575b7d052f8cabeab | [
"MIT"
] | 1 | 2019-01-23T11:53:40.000Z | 2019-01-23T11:53:40.000Z | Improving a Program.py | cjatomu/cjatomu.github.io | acf92a63cb66764a5348925575b7d052f8cabeab | [
"MIT"
] | 2 | 2018-03-16T09:20:31.000Z | 2019-01-23T11:42:08.000Z | #one
import time as datetime
programs = ["Coronation Street","Eastenders","Emmerdale","Hollyoaks"]
times = ["20:00","19:30","19:00","18:30"]
print("========================================")
print("Welcome to the TV Listings Program")
print("Today's date:",datetime.strftime("%x"))
print("Current time:",datetime.strftime("%X"))
print("========================================")
program = programs[0]
time = times[0]
print()
print(program,"is on tomorrow at",time)
print("Press 'Enter' to get the next program")
input()
print()
# Next show
print("========================================")
print("Welcome to the TV Listings Program")
print("Today's date:",datetime.strftime("%x"))
print("Current time:",datetime.strftime("%X"))
print("========================================")
program = programs[1]
time = times[1]
print()
print(program,"is on tomorrow at",time)
print("Press 'Enter' to get the next program")
input()
print()
# Next show
print("========================================")
print("Welcome to the TV Listings Program")
print("Today's date:",datetime.strftime("%x"))
print("Current time:",datetime.strftime("%X"))
print("========================================")
program = programs[2]
time = times[2]
print()
print(program,"is on tomorrow at",time)
print("Press 'Enter' to get the next program")
input()
print()
# Next show
print("========================================")
print("Welcome to the TV Listings Program")
print("Today's date:",datetime.strftime("%x"))
print("Current time:",datetime.strftime("%X"))
print("========================================")
program = programs[3]
time = times[3]
print()
print(program,"is on tomorrow at",time)
print("Press 'Enter' to get the next program")
input()
print()
# Finish
print("========================================")
print("Welcome to the TV Listings Program")
print("Today's date:",datetime.strftime("%x"))
print("Current time:",datetime.strftime("%X"))
print("========================================")
input("Press enter to close this program")
#Two
import time as datetime
programs = ["Coronation Street","Eastenders","Emmerdale","Hollyoaks"]
times = ["20:00","19:30","19:00","18:30"]
def displaytime():
print("========================================")
print("Welcome to the TV Listings Program")
print("Today's date:",datetime.strftime("%x"))
print("Current time:",datetime.strftime("%X"))
print("========================================")
displaytime()
program = programs[0]
time = times[0]
print()
print(program,"is on tomorrow at",time)
print("Press 'Enter' to get the next program")
input()
print()
displaytime()
program = programs[1]
time = times[1]
print()
print(program,"is on tomorrow at",time)
print("Press 'Enter' to get the next program")
input()
print()
displaytime()
program = programs[2]
time = times[2]
print()
print(program,"is on tomorrow at",time)
print("Press 'Enter' to get the next program")
input()
print()
displaytime()
program = programs[3]
time = times[3]
print()
print(program,"is on tomorrow at",time)
print("Press 'Enter' to get the next program")
input()
print()
displaytime()
input("Press enter to close this program")
#Three
import time as datetime
programs = ["Coronation Street","Eastenders","Emmerdale","Hollyoaks"]
times = ["20:00","19:30","19:00","18:30"]
def displaytime():
print("========================================")
print("Welcome to the TV Listings Program")
print("Today's date:",datetime.strftime("%x"))
print("Current time:",datetime.strftime("%X"))
print("========================================")
displaytime()
program = programs[0]
time = times[0]
def displayprogram():
print()
print(program,"is on tomorrow at",time)
print("Press 'Enter' to get the next program")
input()
print()
displayprogram()
displaytime()
program = programs[1]
time = times[1]
displayprogram()
displaytime()
program = programs[2]
time = times[2]
displayprogram()
displaytime()
program = programs[3]
time = times[3]
displayprogram()
displaytime()
input("Press enter to close this program")
#Four
import time as datetime
programs = ["Coronation Street","Eastenders","Emmerdale","Hollyoaks"]
times = ["20:00","19:30","19:00","18:30"]
def displaytime():
print("========================================")
print("Welcome to the TV Listings Program")
print("Today's date:",datetime.strftime("%x"))
print("Current time:",datetime.strftime("%X"))
print("========================================")
displaytime()
program = programs[0]
time = times[0]
def displayprogram():
print()
print(program,"is on tomorrow at",time)
print("Press 'Enter' to get the next program")
input()
print()
num=int(1)
while num!=int(4):
displayprogram()
displaytime()
program = programs[num]
time = times[num]
num=num+1
input("Press enter to close this program")
| 28.890805 | 70 | 0.573503 | 592 | 5,027 | 4.869932 | 0.096284 | 0.062435 | 0.094346 | 0.122095 | 0.945196 | 0.945196 | 0.945196 | 0.883802 | 0.857093 | 0.857093 | 0 | 0.021658 | 0.145813 | 5,027 | 173 | 71 | 29.057803 | 0.649744 | 0.010344 | 0 | 0.968553 | 0 | 0 | 0.43471 | 0.1335 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031447 | false | 0 | 0.025157 | 0 | 0.056604 | 0.503145 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 8 |
e922b4ac1fbfb97af1a7c2ed5bbe37d24f2cd53e | 13,919 | py | Python | tests/unittests/test_tasks_http_headers.py | Jmk1262/Internet.nl | 51508a4348675a202bdc7415d520701f372ed5f2 | [
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | tests/unittests/test_tasks_http_headers.py | Jmk1262/Internet.nl | 51508a4348675a202bdc7415d520701f372ed5f2 | [
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | tests/unittests/test_tasks_http_headers.py | Jmk1262/Internet.nl | 51508a4348675a202bdc7415d520701f372ed5f2 | [
"Apache-2.0",
"CC-BY-4.0"
] | null | null | null | from django.test import SimpleTestCase
from checks import scoring
from checks.tasks import http_headers
class HeaderCheckerContentSecurityPolicyTestCase(SimpleTestCase):
@classmethod
def setUpClass(cls):
super().setUpClass()
cls.checker = http_headers.HeaderCheckerContentSecurityPolicy()
cls.score = 'content_security_policy_score'
cls.enabled = 'content_security_policy_enabled'
def setUp(self):
self.results = self.checker.get_positive_values()
self.domain = 'internet.nl'
def _is_good(self, headers):
self.checker.check(headers, self.results, self.domain)
self.assertEqual(self.results[self.enabled], True)
self.assertEqual(
self.results[self.score],
scoring.WEB_APPSECPRIV_CONTENT_SECURITY_POLICY_GOOD)
def _is_good_and_parsed(self, headers, directive):
self.checker.check(headers, self.results, self.domain)
self.assertEqual(self.results[self.enabled], True)
self.assertEqual(
self.results[self.score],
scoring.WEB_APPSECPRIV_CONTENT_SECURITY_POLICY_GOOD)
self.assertTrue(directive in self.checker.parsed)
def _is_good_and_not_parsed(self, headers, directive):
self.checker.check(headers, self.results, self.domain)
self.assertEqual(self.results[self.enabled], True)
self.assertEqual(
self.results[self.score],
scoring.WEB_APPSECPRIV_CONTENT_SECURITY_POLICY_GOOD)
self.assertTrue(directive not in self.checker.parsed)
def _is_bad(self, headers):
self.checker.check(headers, self.results, self.domain)
self.assertEqual(self.results[self.enabled], False)
self.assertEqual(
self.results[self.score],
scoring.WEB_APPSECPRIV_CONTENT_SECURITY_POLICY_BAD)
def _is_bad_and_parsed(self, headers, directive):
self.checker.check(headers, self.results, self.domain)
self.assertEqual(self.results[self.enabled], False)
self.assertEqual(
self.results[self.score],
scoring.WEB_APPSECPRIV_CONTENT_SECURITY_POLICY_BAD)
self.assertTrue(directive in self.checker.parsed)
def test_no_value(self):
headers = ""
self._is_bad(headers)
def test_smallest_valid_header_with_self(self):
headers = "default-src 'self'; frame-ancestors 'self'"
self._is_good(headers)
def test_smallest_valid_header_with_none(self):
headers = "default-src 'none'; frame-ancestors 'none'"
self._is_good(headers)
def test_no_default_src(self):
headers = "frame-ancestors 'none'"
self._is_bad(headers)
def test_no_frame_ancestors(self):
headers = "default-src 'none'"
self._is_bad(headers)
def test_unsafe_inline(self):
headers = "default-src 'self'; frame-ancestors 'self', style-src 'unsafe-inline'"
self._is_bad(headers)
def test_unsafe_eval(self):
headers = "default-src 'self'; frame-ancestors 'self', style-src 'unsafe-eval'"
self._is_bad(headers)
def test_unsafe_hashes(self):
headers = "default-src 'self'; frame-ancestors 'self', style-src 'unsafe-hashes'"
self._is_bad(headers)
def test_default_src_1(self):
headers = "default-src internet.nl; frame-ancestors 'self'"
self._is_bad(headers)
def test_default_src_2(self):
headers = "default-src 'self' https:; frame-ancestors 'self'"
self._is_good(headers)
def test_default_src_3(self):
headers = "default-src 'self' 'report_sample'; frame-ancestors 'self'"
self._is_good(headers)
def test_default_src_4(self):
headers = "default-src 'self' internet.nl; frame-ancestors 'self'"
self._is_good(headers)
def test_default_src_5(self):
headers = "default-src 'self' internet.nl *.internet.nl; frame-ancestors 'self'"
self._is_good(headers)
def test_default_src_6(self):
headers = "default-src 'self' internet.nl *.internet.nl www.internet.nl; frame-ancestors 'self'"
self._is_good(headers)
def test_default_src_7(self):
headers = "default-src 'self' internet.nl *.internet.nl internet.com; frame-ancestors 'self'"
self._is_bad(headers)
def test_default_src_8(self):
headers = "default-src 'self' nl *.nl www.internet.nl; frame-ancestors 'self'"
self._is_good(headers)
def test_default_src_9(self):
headers = "default-src 'self' nl *.nl www.internet.nl theinternet.nl; frame-ancestors 'self'"
self._is_good(headers)
def test_default_src_10(self):
headers = "default-src 'self' nl *.nl www.internet.nl internet.com; frame-ancestors 'self'"
self._is_bad(headers)
def test_default_src_11(self):
headers = "default-src 'self' www.internet.nl; frame-ancestors 'self'"
self._is_bad(headers)
def test_default_src_12(self):
headers = "default-src 'self' *.internet.nl; frame-ancestors 'self'"
self._is_good(headers)
def test_default_src_13(self):
headers = "default-src 'self' http:; frame-ancestors 'self'"
self._is_bad(headers)
def test_default_src_14(self):
headers = "default-src 'self' somethingelse; frame-ancestors 'self'"
self._is_bad(headers)
def test_http_1(self):
headers = "default-src 'self'; frame-ancestors 'self', style-src http://adfadf.com/asdfh"
self._is_bad(headers)
def test_http_2(self):
headers = "default-src 'self'; frame-ancestors 'self', style-src http:"
self._is_bad(headers)
def test_https_1(self):
headers = "default-src 'self'; frame-ancestors 'self', style-src https:"
self._is_good(headers)
def test_https_2(self):
headers = "default-src 'self'; frame-ancestors 'self', style-src https://whatever.com:443/afsdf"
self._is_good(headers)
def test_https_3(self):
headers = "default-src 'self'; frame-ancestors 'self', style-src https://[ipv6:address]:443/afsdf"
self._is_good(headers)
def test_star_for_port(self):
headers = "default-src 'self'; frame-ancestors 'self', style-src https://[ipv6:address]:*/afsdf"
self._is_good(headers)
def test_data_1(self):
headers = "default-src 'self'; frame-ancestors 'self', object-src data:"
self._is_bad(headers)
def test_data_2(self):
headers = "default-src 'self'; frame-ancestors 'self', script-src data:"
self._is_bad(headers)
def test_star_scheme_1(self):
headers = "default-src 'self'; frame-ancestors 'self', style-src *://whatever.com:443/something"
self._is_bad(headers)
def test_star_scheme_2(self):
headers = "default-src 'self'; frame-ancestors 'self', style-src *://[ipv6:address:fasd]/something"
self._is_bad(headers)
def test_star_host_1(self):
headers = "default-src 'self'; frame-ancestors 'self', style-src *"
self._is_bad(headers)
def test_star_host_2(self):
headers = "default-src 'self'; frame-ancestors 'self', frame-src *"
self._is_bad(headers)
def test_star_host_3(self):
headers = "default-src 'self'; frame-ancestors 'self', frame-src https://*"
self._is_bad(headers)
def test_star_host_4(self):
headers = "default-src 'self'; frame-ancestors 'self', frame-src https://*:443/"
self._is_bad(headers)
def test_star_host_5(self):
headers = "default-src 'self'; frame-ancestors 'self', frame-src https://*:443"
self._is_bad(headers)
def test_star_host_6(self):
headers = "default-src 'self'; frame-ancestors 'self', frame-src *:443"
self._is_bad(headers)
def test_127001_host_1(self):
headers = "default-src 'self'; frame-ancestors 'self', frame-src 127.0.0.1"
self._is_bad(headers)
def test_127001_host_2(self):
headers = "default-src 'self'; frame-ancestors 'self', frame-src https://127.0.0.1"
self._is_bad(headers)
def test_127001_host_3(self):
headers = "default-src 'self'; frame-ancestors 'self', frame-src https://127.0.0.1:443/"
self._is_bad(headers)
def test_127001_host_4(self):
headers = "default-src 'self'; frame-ancestors 'self', frame-src https://127.0.0.1:443"
self._is_bad(headers)
def test_127001_host_5(self):
headers = "default-src 'self'; frame-ancestors 'self', frame-src 127.0.0.1:443"
self._is_bad(headers)
def test_missing_frame_ancestors(self):
headers = "default-src 'self'; style-src https:"
self._is_bad(headers)
def test_missing_frame_ancestors_syntax_error(self):
headers = "default-src 'self'; frame-ancestors self"
self._is_bad(headers)
def test_wrong_frame_source(self):
headers = "default-src 'self'; frame-ancestors 'self'; frame-src http:"
self._is_bad(headers)
def test_two_headers(self):
headers = "default-src 'self'; frame-ancestors https:, frame-ancestors 'none'"
self._is_good(headers)
def test_syntax_trusted_types_1(self):
headers = "default-src 'self'; frame-ancestors 'none', trusted-types"
self._is_good_and_parsed(headers, 'trusted-types')
def test_syntax_trusted_types_2(self):
headers = "default-src 'self'; frame-ancestors 'none', trusted-types 'none'"
self._is_good_and_parsed(headers, 'trusted-types')
def test_syntax_trusted_types_3(self):
headers = "default-src 'self'; frame-ancestors 'none', trusted-types asdfad"
self._is_good_and_parsed(headers, 'trusted-types')
def test_syntax_trusted_types_4(self):
headers = "default-src 'self'; frame-ancestors 'none', trusted-types asdfad asdfd"
self._is_good_and_parsed(headers, 'trusted-types')
def test_syntax_trusted_types_5(self):
headers = "default-src 'self'; frame-ancestors 'none', trusted-types asdfad asdfd 'allow-duplicates'"
self._is_good_and_parsed(headers, 'trusted-types')
def test_syntax_trusted_types_6(self):
headers = "default-src 'self'; frame-ancestors 'none', trusted-types asdfad * 'allow-duplicates'"
self._is_good_and_parsed(headers, 'trusted-types')
def test_syntax_trusted_types_7(self):
headers = "default-src 'self'; frame-ancestors 'none', trusted-types * asdfad 'allow-duplicates'"
self._is_good_and_parsed(headers, 'trusted-types')
def test_syntax_trusted_types_8(self):
headers = "default-src 'self'; frame-ancestors 'none', trusted-types asdfad 'allow-duplicates'"
self._is_good_and_not_parsed(headers, 'trusted-types')
def test_syntax_upgrade_insecure_requests_1(self):
headers = "default-src 'self'; frame-ancestors 'none', upgrade-insecure-requests"
self._is_good_and_parsed(headers, 'upgrade-insecure-requests')
def test_syntax_upgrade_insecure_requests_2(self):
headers = "default-src 'self'; frame-ancestors 'none', upgrade-insecure-requests adfad"
self._is_good_and_not_parsed(headers, 'upgrade-insecure-requests')
def test_host_source_1(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src https://fas.com:443"
self._is_good_and_parsed(headers, 'style-src')
def test_host_source_2(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src fas.com:443"
self._is_good_and_parsed(headers, 'style-src')
def test_host_source_3(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src fas.com"
self._is_good_and_parsed(headers, 'style-src')
def test_scheme_source_1(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src https:"
self._is_good_and_parsed(headers, 'style-src')
def test_scheme_source_2(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src http:"
self._is_bad_and_parsed(headers, 'style-src')
def test_scheme_source_3(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src fasdf:"
self._is_good_and_not_parsed(headers, 'style-src')
def test_other_source_nonce_1(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src 'nonce-fdasdfas5678589+5346/sfdg'"
self._is_good_and_parsed(headers, 'style-src')
def test_other_source_nonce_2(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src 'nonce-fdasdfas5678589+5346/sfdg=='"
self._is_good_and_parsed(headers, 'style-src')
def test_other_source_nonce_3(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src 'nonce-fdasdfas56=78589+5346/sfdg=='"
self._is_good_and_not_parsed(headers, 'style-src')
def test_other_source_nonce_4(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src 'nonce-fdasdfas56*78589+5346/sfdg=='"
self._is_good_and_not_parsed(headers, 'style-src')
def test_other_source_hash_1(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src 'sha256-fdasdfas5678589+5346/sfdg=='"
self._is_good_and_parsed(headers, 'style-src')
def test_other_source_hash_2(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src 'sha384-fdasdfas5678589+5346/sfdg=='"
self._is_good_and_parsed(headers, 'style-src')
def test_other_source_hash_3(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src 'sha512-fdasdfas5678589+5346/sfdg=='"
self._is_good_and_parsed(headers, 'style-src')
def test_other_source_hash_4(self):
headers = "default-src 'self'; frame-ancestors 'none', style-src 'sha513-fdasdfas5678589+5346/sfdg=='"
self._is_good_and_not_parsed(headers, 'style-src')
| 40.938235 | 110 | 0.67785 | 1,850 | 13,919 | 4.842703 | 0.072973 | 0.09376 | 0.138632 | 0.161737 | 0.917513 | 0.899208 | 0.872754 | 0.820404 | 0.775421 | 0.712914 | 0 | 0.023158 | 0.196494 | 13,919 | 339 | 111 | 41.058997 | 0.777897 | 0 | 0 | 0.362934 | 0 | 0.111969 | 0.363604 | 0.036425 | 0 | 0 | 0 | 0 | 0.050193 | 1 | 0.301158 | false | 0 | 0.011583 | 0 | 0.316602 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
3a91afce727230124af6db51d3d99a0fd1214d28 | 4,253 | py | Python | polare/_numpy_ufunc_overrides.py | JaiWillems/polare | dc13d39dfd8f24026df99559a93d394f7b412c6d | [
"BSD-3-Clause"
] | null | null | null | polare/_numpy_ufunc_overrides.py | JaiWillems/polare | dc13d39dfd8f24026df99559a93d394f7b412c6d | [
"BSD-3-Clause"
] | null | null | null | polare/_numpy_ufunc_overrides.py | JaiWillems/polare | dc13d39dfd8f24026df99559a93d394f7b412c6d | [
"BSD-3-Clause"
] | null | null | null |
import numpy as np
HANDLED_FUNCTIONS = {}
def implements(np_function):
def decorator(func):
HANDLED_FUNCTIONS[np_function] = func
return func
return decorator
@implements(np.power)
def power(es: int, ev: float, xs: int, xv: float, n: int) -> list:
"""NumPy's `power` universal function override.
Parameters
----------
es : int
Base instruction index for Stroke bases.
ev : int, float
Base value for scalar bases.
xs : int
Exponent instruction index for Stroke exponents.
xv : int, float
Exponent value for scalar exponents.
n : int
Prior instruction index.
Returns
-------
List
Instructions to append to Stroke._inst.
Notes
-----
This ufunc override enables `np.power` to bring integers to negative
integer powers.
"""
if es is not None and xs is not None:
inst = [[np.less, es - n, None, 0],
[np.mod, xs - n, None, 2],
[np.not_equal, 1, None, 0],
[np.logical_and, 0, 2, None],
[np.logical_not, 3, None, None],
[np.multiply, 4, None, 2],
[np.subtract, 5, None, 1],
[np.absolute, es - n, None, None],
[np.power, 7, xs - n, None],
[np.multiply, 6, 8, None]]
elif es is not None:
val = (xv % 2) != 0
inst = [[np.less, es - n, None, 0],
[np.logical_and, 0, None, val],
[np.logical_not, 1, None, None],
[np.multiply, 2, None, 2],
[np.subtract, 3, None, 1],
[np.absolute, es - n, None, None],
[np.power, 5, None, xv],
[np.multiply, 4, 6, None]]
else:
val = ev < 0
inst = [[np.mod, xs - n, None, 2],
[np.not_equal, 0, None, 0],
[np.logical_and, 1, None, val],
[np.logical_not, 2, None, None],
[np.multiply, 3, None, 2],
[np.subtract, 4, None, 1],
[np.power, None, xs - n, np.absolute(ev)],
[np.multiply, 5, 6, None]]
return inst
@implements(np.float_power)
def float_power(es: int, ev: float, xs: int, xv: float, n: int) -> list:
"""NumPy's `float_power` universal function override.
Parameters
----------
es : int
Base instruction index for Stroke bases.
ev : int, float
Base value for scalar bases.
xs : int
Exponent instruction index for Stroke exponents.
xv : int, float
Exponent value for scalar exponents.
n : int
Prior instruction index.
Returns
-------
List
Instructions to append to Stroke._inst.
Notes
-----
This ufunc override enables `np.float_power` to bring integers to negative
integer powers.
"""
if es is not None and xs is not None:
inst = [[np.less, es - n, None, 0],
[np.mod, xs - n, None, 2],
[np.not_equal, 1, None, 0],
[np.logical_and, 0, 2, None],
[np.logical_not, 3, None, None],
[np.multiply, 4, None, 2],
[np.subtract, 5, None, 1],
[np.absolute, es - n, None, None],
[np.float_power, 7, xs - n, None],
[np.multiply, 6, 8, None]]
elif es is not None:
val = (xv % 2) != 0
inst = [[np.less, es - n, None, 0],
[np.logical_and, 0, None, val],
[np.logical_not, 1, None, None],
[np.multiply, 2, None, 2],
[np.subtract, 3, None, 1],
[np.absolute, es - n, None, None],
[np.float_power, 5, None, xv],
[np.multiply, 4, 6, None]]
else:
val = ev < 0
inst = [[np.mod, xs - n, None, 2],
[np.not_equal, 0, None, 0],
[np.logical_and, 1, None, val],
[np.logical_not, 2, None, None],
[np.multiply, 3, None, 2],
[np.subtract, 4, None, 1],
[np.float_power, None, xs - n, np.absolute(ev)],
[np.multiply, 5, 6, None]]
return inst
| 28.353333 | 78 | 0.483659 | 545 | 4,253 | 3.721101 | 0.13578 | 0.034517 | 0.034517 | 0.04142 | 0.906312 | 0.906312 | 0.906312 | 0.906312 | 0.906312 | 0.906312 | 0 | 0.028952 | 0.382789 | 4,253 | 149 | 79 | 28.543624 | 0.743619 | 0.233482 | 0 | 0.773333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053333 | false | 0 | 0.013333 | 0 | 0.12 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
c9477ce82136877a81d59320fa3f1a6c734fd09e | 159 | py | Python | hysynth/pwl/simulation/__init__.py | HySynth/HySynth | b33b34ff5db138b5d007d0dcd32d53c9f8964b62 | [
"MIT"
] | 4 | 2021-03-05T11:18:35.000Z | 2021-12-09T18:51:32.000Z | hysynth/pwl/simulation/__init__.py | HySynth/HySynth | b33b34ff5db138b5d007d0dcd32d53c9f8964b62 | [
"MIT"
] | null | null | null | hysynth/pwl/simulation/__init__.py | HySynth/HySynth | b33b34ff5db138b5d007d0dcd32d53c9f8964b62 | [
"MIT"
] | null | null | null | from .simulation_core import generate_pwl_from_ha
from .dataset_generation import generate_timeseries_dataset, generate_pwl_dataset, generate_noisy_ts_dataset
| 53 | 108 | 0.91195 | 22 | 159 | 6.045455 | 0.545455 | 0.210526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.062893 | 159 | 2 | 109 | 79.5 | 0.892617 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
c97130ae960effc9568c5661b2cdeb5b1102f24c | 126 | py | Python | Day1_string_manipulation/stringmanipulation.py | ariv14/python_day1 | 6a649d19669a3952aa55509754a91afebe215066 | [
"Apache-2.0"
] | null | null | null | Day1_string_manipulation/stringmanipulation.py | ariv14/python_day1 | 6a649d19669a3952aa55509754a91afebe215066 | [
"Apache-2.0"
] | null | null | null | Day1_string_manipulation/stringmanipulation.py | ariv14/python_day1 | 6a649d19669a3952aa55509754a91afebe215066 | [
"Apache-2.0"
] | null | null | null | # Usage of \n in a print() function between the strings will create new line
print("Hello World!\nHello World!\nHello World!") | 63 | 76 | 0.753968 | 21 | 126 | 4.52381 | 0.809524 | 0.231579 | 0.336842 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 126 | 2 | 77 | 63 | 0.87963 | 0.587302 | 0 | 0 | 0 | 0 | 0.784314 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
a30b4f99857f2ab138ab20769039035d82746484 | 48,175 | py | Python | chipsnet/plotting.py | chipsneutrino/chips-net | 259dcdbba5c732a554d6df7b2dffd0fa0c3e9b9c | [
"MIT"
] | 1 | 2020-05-31T09:02:29.000Z | 2020-05-31T09:02:29.000Z | chipsnet/plotting.py | chipsneutrino/chips-net | 259dcdbba5c732a554d6df7b2dffd0fa0c3e9b9c | [
"MIT"
] | null | null | null | chipsnet/plotting.py | chipsneutrino/chips-net | 259dcdbba5c732a554d6df7b2dffd0fa0c3e9b9c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Plotting module containing lots of plotting methods for the analysis notebook."""
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import chipsnet.utils
def save(name):
"""Save a matplotlib plot to file as both a pgf and pdf.
Args:
name (str): output path+name
"""
plt.savefig("{}.pdf".format(name), bbox_inches="tight")
plt.show()
def plot_cats(events, scale, cat_map, save_path):
"""Save a matplotlib plot to file as both a pgf and pdf.
Args:
events_u (pd.DataFrame): uniform events dataframe
events_b (pd.DataFrame): beam events dataframe
cat_map (dict): category map for this comparison
save_path (str): path to save plot to
"""
data = [
len(events[events[cat_map["name"]] == i]) for i in range(len(cat_map["labels"]))
]
data = [x * scale for x in data]
cats = np.arange(len(cat_map["labels"]))
fig, axs = plt.subplots(1, 1, figsize=(12, 8), gridspec_kw={"hspace": 0.3})
axs.bar(
cats,
data,
color="tab:blue",
width=1.0,
label="uniform sample",
edgecolor="black",
)
axs.set_xticks(cats)
axs.set_xticklabels(cat_map["labels"], fontsize=24, rotation="vertical")
axs.set_ylabel("Training events", fontsize=30)
axs.set_ylim(10e2, 10e6)
axs.set_yscale("log")
save(save_path + "explore_" + cat_map["name"])
def plot_event(images_dict, event, save_name):
"""Plot hit, time and hough channels for an event.
Args:
images_dict (dict): images dictionary
event (int): event to use
save_path (str): path to save plot to
"""
fig, axs = plt.subplots(1, 3, figsize=(16, 10), gridspec_kw={"wspace": 0.1})
plt.setp(axs, xticks=[0, 16, 32, 48, 64], yticks=[0, 16, 32, 48, 64])
axs[0].imshow(
images_dict["r_charge_map_vtx"][event],
cmap="Reds",
origin="lower",
extent=(0, 64, 0, 64),
vmin=0,
vmax=255,
)
axs[0].set_title(r"Hit-charge")
axs[0].set_xlabel(r"$\phi$ bins", fontsize=30)
axs[0].set_ylabel(r"$\theta$ bins", fontsize=30)
axs[0].label_outer()
axs[1].imshow(
images_dict["r_time_map_vtx"][event],
cmap="Reds",
origin="lower",
extent=(0, 64, 0, 64),
vmin=0,
vmax=255,
)
axs[1].set_title(r"Hit-time")
axs[1].set_xlabel(r"$\phi$ bins", fontsize=30)
axs[1].set_ylabel(r"$\theta$ bins", fontsize=30)
axs[1].label_outer()
neg = axs[2].imshow(
images_dict["r_hough_map_vtx"][event],
cmap="Reds",
origin="lower",
extent=(0, 64, 0, 64),
vmin=0,
vmax=255,
)
axs[2].set_title(r"Hough-height")
axs[2].set_xlabel(r"$\phi$ bins", fontsize=30)
axs[2].set_ylabel(r"$\theta$ bins", fontsize=30)
axs[2].label_outer()
fig.colorbar(neg, ax=axs, shrink=0.43, aspect=8, pad=0.025)
save(save_name)
def plot_hit_time(images_dict, event, save_name):
"""Plot hit and time channels for the different image representations.
Args:
images_dict (dict): images dictionary
event (int): event to use
save_path (str): path to save plot to
"""
fig, axs = plt.subplots(
2, 3, figsize=(16, 10), gridspec_kw={"hspace": 0.3, "wspace": 0.2}
)
plt.setp(axs, xticks=[0, 16, 32, 48, 64], yticks=[0, 16, 32, 48, 64])
axs[0, 0].imshow(
images_dict["r_charge_map_origin"][event],
cmap="Reds",
origin="lower",
extent=(0, 64, 0, 64),
)
axs[0, 0].set_title(r"Origin raw view")
axs[0, 0].set_ylabel(r"$\theta$ bins", fontsize=30)
axs[0, 1].imshow(
images_dict["r_charge_map_iso"][event],
cmap="Reds",
origin="lower",
extent=(0, 64, 0, 64),
)
axs[0, 1].set_title(r"Origin iso view")
axs[0, 1].set_ylabel(r"$X_{-}$ bins", fontsize=30)
axs[0, 2].imshow(
images_dict["r_charge_map_vtx"][event],
cmap="Reds",
origin="lower",
extent=(0, 64, 0, 64),
)
axs[0, 2].set_title(r"Vertex view")
axs[0, 2].set_ylabel(r"$\theta$ bins", fontsize=30)
axs[0, 2].text(68, 7, "Hit-charge maps", rotation=-90, fontsize=30)
axs[1, 0].imshow(
images_dict["r_time_map_origin"][event],
cmap="Reds",
origin="lower",
extent=(0, 64, 0, 64),
)
axs[1, 0].set_xlabel(r"$\phi$ bins", fontsize=30)
axs[1, 0].set_ylabel(r"$\theta$ bins", fontsize=30)
axs[1, 1].imshow(
images_dict["r_time_map_iso"][event],
cmap="Reds",
origin="lower",
extent=(0, 64, 0, 64),
)
axs[1, 1].set_xlabel(r"$X_{+}$ bins", fontsize=30)
axs[1, 1].set_ylabel(r"$X_{-}$ bins", fontsize=30)
axs[1, 2].imshow(
images_dict["r_time_map_vtx"][event],
cmap="Reds",
origin="lower",
extent=(0, 64, 0, 64),
)
axs[1, 2].set_xlabel(r"$\phi$ bins", fontsize=30)
axs[1, 2].set_ylabel(r"$\theta$ bins", fontsize=30)
axs[1, 2].text(68, 11, "Hit-time maps", rotation=-90, fontsize=30)
save(save_name)
def plot_hough(images_dict, events, save_name):
"""Plot the hough channel representation.
Args:
images_dict (dict): images dictionary
events (int): events to use
save_path (str): path to save plot to
"""
fig, axs = plt.subplots(1, 3, figsize=(15, 5), gridspec_kw={"wspace": 0.2})
plt.setp(axs, xticks=[0, 16, 32, 48, 64], yticks=[0, 16, 32, 48, 64])
axs[0].imshow(
images_dict["r_hough_map_vtx"][events[0]],
cmap="Reds",
origin="lower",
extent=(0, 64, 0, 64),
)
axs[0].set_xlabel(r"$\phi$ bins", fontsize=30)
axs[0].set_ylabel(r"$\theta$ bins", fontsize=30)
axs[0].label_outer()
axs[1].imshow(
images_dict["r_hough_map_vtx"][events[1]],
cmap="Reds",
origin="lower",
extent=(0, 64, 0, 64),
)
axs[1].set_xlabel(r"$\phi$ bins", fontsize=30)
axs[1].set_ylabel(r"$\theta$ bins", fontsize=30)
axs[1].label_outer()
axs[2].imshow(
images_dict["r_hough_map_vtx"][events[2]],
cmap="Reds",
origin="lower",
extent=(0, 64, 0, 64),
)
axs[2].set_xlabel(r"$\phi$ bins", fontsize=30)
axs[2].set_ylabel(r"$\theta$ bins", fontsize=30)
axs[2].label_outer()
save(save_name)
def plot_8bit_range(
images_dict, max_charge=25, max_time=120, max_hough=3500, save_path=""
):
"""Plot the charge, time and hough channel 8-bit distributions.
Args:
images_dict (dict): images dictionary
max_charge (float): maximum charge value
max_time (float): maximum time value
max_hough (float): maximum hough value
save_path (str): path to save plot to
"""
fig, axs = plt.subplots(1, 1, figsize=(12, 8))
hist_data = []
for event in images_dict["r_charge_map_vtx"]:
hist_data.append(event.reshape(4096))
hist_data = np.concatenate(hist_data, axis=0)
occurrences_0 = np.count_nonzero(hist_data == 255) / len(hist_data)
(counts, bins) = np.histogram(hist_data, bins=range(256), range=(0, 255))
factor = 1 / len(hist_data)
axs.hist(
bins[:-1],
range=(0, 256),
bins=256,
color="tab:green",
histtype="step",
linewidth=2,
weights=factor * counts,
)
hist_data = []
for event in images_dict["r_time_map_vtx"]:
hist_data.append(event.reshape(4096))
hist_data = np.concatenate(hist_data, axis=0)
occurrences_1 = np.count_nonzero(hist_data == 255) / len(hist_data)
(counts, bins) = np.histogram(hist_data, bins=range(256), range=(0, 255))
factor = 1 / len(hist_data)
axs.hist(
bins[:-1],
range=(0, 256),
bins=256,
color="tab:blue",
histtype="step",
linewidth=2,
weights=factor * counts,
)
hist_data = []
for event in images_dict["r_hough_map_vtx"]:
hist_data.append(event.reshape(4096))
hist_data = np.concatenate(hist_data, axis=0)
occurrences_2 = np.count_nonzero(hist_data == 255) / len(hist_data)
(counts, bins) = np.histogram(hist_data, bins=range(256), range=(0, 255))
factor = 1 / len(hist_data)
axs.hist(
bins[:-1],
range=(0, 256),
bins=256,
color="tab:red",
histtype="step",
linewidth=2,
weights=factor * counts,
)
print("[0,{}], outside range: {:.4f}".format(max_charge, occurrences_0))
print("[0,{}], outside range: {:.4f}".format(max_time, occurrences_1))
print("[0,{}], outside range: {:.4f}".format(max_hough, occurrences_2))
axs.set_xlabel(r"8-bit value", fontsize=30)
axs.set_ylabel(r"Fraction of Encoded Values", fontsize=30)
axs.set_xlim(-5, 260)
# axs.set_ylim(0, 0.08)
axs.set_yscale("log")
hit = Line2D(
[0],
[0],
color="tab:green",
linewidth=2,
linestyle="solid",
label=r"Hit-charge",
)
time = Line2D(
[0],
[0],
color="tab:blue",
linewidth=2,
linestyle="solid",
label=r"Hit-time",
)
hough = Line2D(
[0],
[0],
color="tab:red",
linewidth=2,
linestyle="solid",
label=r"Hough-height",
)
axs.legend(handles=[hit, time, hough], loc="upper right", fontsize=28)
save(save_path + "explore_8_bit_range")
def plot_cuts(config, events, save_path):
"""Plot the quality cuts.
Args:
config (dotmap.DotMap): configuration namespace
events (pd.DataFrame): events dataframe
save_path (str): path to save plot to
"""
fig, axs = plt.subplots(
2, 2, figsize=(20, 15), gridspec_kw={"hspace": 0.2, "wspace": 0.1}
)
axs[0, 0].hist(
events[(events.t_comb_cat == 0) & (events.t_sample_type == 1)][
"r_total_digi_q"
],
color="tab:green",
histtype="step",
range=(0, 5000),
bins=40,
density=True,
label="$\\nu_{e}$ CC",
linewidth=2,
)
axs[0, 0].hist(
events[(events.t_comb_cat == 0) & (events.t_sample_type == 0)][
"r_total_digi_q"
],
color="tab:olive",
histtype="step",
range=(0, 5000),
bins=40,
density=True,
label="$\\nu_{e}$ CC",
linewidth=2,
)
axs[0, 0].hist(
events[events.t_comb_cat == 1]["r_total_digi_q"],
color="tab:blue",
histtype="step",
range=(0, 5000),
bins=40,
density=True,
label="$\\nu_{\mu}$ CC",
linewidth=2,
)
axs[0, 0].hist(
events[events.t_comb_cat == 2]["r_total_digi_q"],
color="tab:red",
histtype="step",
range=(0, 5000),
bins=40,
density=True,
label="NC",
linewidth=2,
)
axs[0, 0].hist(
events[events.t_comb_cat == 3]["r_total_digi_q"],
color="black",
histtype="step",
range=(0, 5000),
bins=40,
density=True,
label="cosmic",
linewidth=2,
)
axs[0, 0].set_xlabel(r"Total charge (p.e)", fontsize=30)
axs[0, 0].set_ylabel(r"Events (arb.)", fontsize=30)
axs[0, 0].axvspan(0, config.eval.cuts.q, alpha=0.5, color="grey")
axs[0, 0].set_yticks([])
axs[0, 1].hist(
events[(events.t_comb_cat == 0) & (events.t_sample_type == 1)][
"r_first_ring_height"
],
color="tab:green",
histtype="step",
range=(0, 5000),
bins=40,
density=True,
label="$\\nu_{e}$ CC",
linewidth=2,
)
axs[0, 1].hist(
events[(events.t_comb_cat == 0) & (events.t_sample_type == 0)][
"r_first_ring_height"
],
color="tab:olive",
histtype="step",
range=(0, 5000),
bins=40,
density=True,
label="$\\nu_{e}$ CC",
linewidth=2,
)
axs[0, 1].hist(
events[events.t_comb_cat == 1]["r_first_ring_height"],
color="tab:blue",
histtype="step",
range=(0, 5000),
bins=40,
density=True,
label="$\\nu_{\mu}$ CC",
linewidth=2,
)
axs[0, 1].hist(
events[events.t_comb_cat == 2]["r_first_ring_height"],
color="tab:red",
histtype="step",
range=(0, 5000),
bins=40,
density=True,
label="NC",
linewidth=2,
)
axs[0, 1].hist(
events[events.t_comb_cat == 3]["r_first_ring_height"],
color="black",
histtype="step",
range=(0, 5000),
bins=40,
density=True,
label="cosmic",
linewidth=2,
)
axs[0, 1].set_xlabel(r"Max Hough height (p.e)", fontsize=30)
axs[0, 1].axvspan(0, config.eval.cuts.h, alpha=0.5, color="grey")
axs[0, 1].set_yticks([])
osc_nuel = Line2D(
[0],
[0],
color="tab:green",
linewidth=2,
linestyle="solid",
label=r"Appeared CC $\nu_{e}$",
)
nuel = Line2D(
[0],
[0],
color="tab:olive",
linewidth=2,
linestyle="solid",
label=r"Beam CC $\nu_{e}$",
)
numu = Line2D(
[0],
[0],
color="tab:blue",
linewidth=2,
linestyle="solid",
label=r"Survived CC $\nu_{\mu}$",
)
nc = Line2D([0], [0], color="tab:red", linewidth=2, linestyle="solid", label=r"NC")
cosmic = Line2D(
[0], [0], color="black", linewidth=2, linestyle="solid", label=r"Cosmic"
)
axs[0, 1].legend(
handles=[osc_nuel, numu, nc, nuel, cosmic], loc="upper right", fontsize=28
)
axs[1, 0].hist(
events[(events.t_comb_cat == 0) & (events.t_sample_type == 1)]["r_dir_theta"],
color="tab:green",
histtype="step",
range=(-1, 1),
bins=64,
density=True,
label="$\\nu_{e}$ CC",
linewidth=2,
)
axs[1, 0].hist(
events[(events.t_comb_cat == 0) & (events.t_sample_type == 0)]["r_dir_theta"],
color="tab:olive",
histtype="step",
range=(-1, 1),
bins=64,
density=True,
label="$\\nu_{e}$ CC",
linewidth=2,
)
axs[1, 0].hist(
events[events.t_comb_cat == 1]["r_dir_theta"],
color="tab:blue",
histtype="step",
range=(-1, 1),
bins=64,
density=True,
label="$\\nu_{\mu}$ CC",
linewidth=2,
)
axs[1, 0].hist(
events[events.t_comb_cat == 2]["r_dir_theta"],
color="tab:red",
histtype="step",
range=(-1, 1),
bins=64,
density=True,
label="NC",
linewidth=2,
)
axs[1, 0].hist(
events[events.t_comb_cat == 3]["r_dir_theta"],
color="black",
histtype="step",
range=(-1, 1),
bins=64,
density=True,
label="cosmic",
linewidth=2,
)
axs[1, 0].set_xlabel(r"Seed $\theta$ direction (cos($\theta$))", fontsize=30)
axs[1, 0].set_ylabel(r"Events (arb.)", fontsize=30)
axs[1, 0].axvspan(-1, -config.eval.cuts.theta, alpha=0.5, color="grey")
axs[1, 0].axvspan(config.eval.cuts.theta, 1, alpha=0.5, color="grey")
axs[1, 0].set_ylim(0, 2.5)
axs[1, 0].set_yticks([])
axs[1, 1].hist(
events[(events.t_comb_cat == 0) & (events.t_sample_type == 1)]["r_dir_phi"]
* 3.14159,
color="tab:green",
histtype="step",
range=(-3.2, 3.2),
bins=64,
density=True,
label="$\\nu_{e}$ CC",
linewidth=2,
)
axs[1, 1].hist(
events[(events.t_comb_cat == 0) & (events.t_sample_type == 0)]["r_dir_phi"]
* 3.14159,
color="tab:olive",
histtype="step",
range=(-3.2, 3.2),
bins=64,
density=True,
label="$\\nu_{e}$ CC",
linewidth=2,
)
axs[1, 1].hist(
events[events.t_comb_cat == 1]["r_dir_phi"] * 3.14159,
color="tab:blue",
histtype="step",
range=(-3.2, 3.2),
bins=64,
density=True,
label="$\\nu_{\mu}$ CC",
linewidth=2,
)
axs[1, 1].hist(
events[events.t_comb_cat == 2]["r_dir_phi"] * 3.14159,
color="tab:red",
histtype="step",
range=(-3.2, 3.2),
bins=64,
density=True,
label="NC",
linewidth=2,
)
axs[1, 1].hist(
events[events.t_comb_cat == 3]["r_dir_phi"] * 3.14159,
color="black",
histtype="step",
range=(-3.2, 3.2),
bins=64,
density=True,
label="cosmic",
linewidth=2,
)
axs[1, 1].set_xlabel(r"Seed $\phi$ direction (radians)", fontsize=30)
axs[1, 1].axvspan(-3.2, -config.eval.cuts.phi * 3.14159, alpha=0.5, color="grey")
axs[1, 1].axvspan(config.eval.cuts.phi * 3.14159, 3.2, alpha=0.5, color="grey")
axs[1, 1].set_yticks([])
chipsnet.plotting.save(save_path + "explore_simple_cuts")
def plot_combined_values(events, type, prefix, save_path, cut=None):
"""Plot the output combined category values from the network.
Args:
events (pd.DataFrame): events dataframe
prefix (str): prefix to choose correct model output
save_path (str): path to save plot to
"""
bins = 100
hist_range = (0, 1)
cat0 = prefix + "pred_t_comb_cat_0"
cat1 = prefix + "pred_t_comb_cat_1"
nuel_beam_cc_events = events[
(events["t_comb_cat"] == 0)
& (events["t_sample_type"] == 0)
& (events["cut"] == 0)
]
nuel_osc_cc_events = events[
(events["t_comb_cat"] == 0)
& (events["t_sample_type"] == 1)
& (events["cut"] == 0)
]
numu_cc_events = events[(events["t_comb_cat"] == 1) & (events["cut"] == 0)]
nc_events = events[(events["t_comb_cat"] == 2) & (events["cut"] == 0)]
if type == 0:
fig, axs = plt.subplots(1, 1, figsize=(12, 8))
plt.setp(axs, xticks=[0, 0.2, 0.4, 0.6, 0.8, 1])
axs.hist(
nuel_beam_cc_events[cat0],
weights=nuel_beam_cc_events["w"],
range=hist_range,
bins=bins,
color="tab:olive",
histtype="step",
linewidth=2,
)
axs.hist(
nuel_osc_cc_events[cat0],
weights=nuel_osc_cc_events["w"],
range=hist_range,
bins=bins,
color="tab:green",
histtype="step",
linewidth=2,
)
axs.hist(
numu_cc_events[cat0],
weights=numu_cc_events["w"],
range=hist_range,
bins=bins,
color="tab:blue",
histtype="step",
linewidth=2,
)
axs.hist(
nc_events[cat0],
weights=nc_events["w"],
range=hist_range,
bins=bins,
color="tab:red",
histtype="step",
linewidth=2,
)
axs.set_ylim(0, 10)
if cut is not None:
axs.plot([cut, cut], [0, 4], "k-", lw=3, color="black")
axs.arrow(
cut + 0.005,
4,
0.05,
0,
color="black",
lw=3,
length_includes_head=True,
head_width=0.5,
head_length=0.02,
)
axs.set_xlabel(r"CC $\nu_{e}$ score", fontsize=30)
axs.set_ylabel(r"Events/$6\times10^{20}$ POT", fontsize=30)
nuel = Line2D(
[0],
[0],
color="tab:olive",
linewidth=2,
linestyle="solid",
label=r"Beam CC $\nu_{e}$",
)
osc_nuel = Line2D(
[0],
[0],
color="tab:green",
linewidth=2,
linestyle="solid",
label=r"Appeared CC $\nu_{e}$",
)
numu = Line2D(
[0],
[0],
color="tab:blue",
linewidth=2,
linestyle="solid",
label=r"Survived CC $\nu_{\mu}$",
)
nc = Line2D(
[0], [0], color="tab:red", linewidth=2, linestyle="solid", label=r"NC"
)
axs.legend(handles=[osc_nuel, nuel, nc, numu], loc="upper center", fontsize=28)
if type == 1:
fig, axs = plt.subplots(
1, 1, figsize=(12, 8), gridspec_kw={"hspace": 0.1, "wspace": 0.1}
)
axs.hist(
nuel_beam_cc_events[cat1],
weights=nuel_beam_cc_events["w"],
range=hist_range,
bins=bins,
color="tab:olive",
histtype="step",
linewidth=2,
)
axs.hist(
nuel_osc_cc_events[cat1],
weights=nuel_osc_cc_events["w"],
range=hist_range,
bins=bins,
color="tab:green",
histtype="step",
linewidth=2,
)
axs.hist(
numu_cc_events[cat1],
weights=numu_cc_events["w"],
range=hist_range,
bins=bins,
color="tab:blue",
histtype="step",
linewidth=2,
)
axs.hist(
nc_events[cat1],
weights=nc_events["w"],
range=hist_range,
bins=bins,
color="tab:red",
histtype="step",
linewidth=2,
)
axs.set_ylim(10e-3, 10e2)
if cut is not None:
axs.plot([cut, cut], [10e-3, 3e0], "k-", lw=3, color="black")
axs.arrow(
cut,
3e0,
0.05,
0,
color="black",
lw=3,
length_includes_head=True,
head_width=2,
head_length=0.02,
)
# axs.set_ylim(0, 500)
axs.set_xlabel(r"CC $\nu_{\mu}$ score", fontsize=30)
axs.set_ylabel(r"Events/$6\times10^{20}$ POT", fontsize=30)
axs.set_yscale("log")
nuel = Line2D(
[0],
[0],
color="tab:olive",
linewidth=2,
linestyle="solid",
label=r"Beam CC $\nu_{e}$",
)
osc_nuel = Line2D(
[0],
[0],
color="tab:green",
linewidth=2,
linestyle="solid",
label=r"Appeared CC $\nu_{e}$",
)
numu = Line2D(
[0],
[0],
color="tab:blue",
linewidth=2,
linestyle="solid",
label=r"Survived CC $\nu_{\mu}$",
)
nc = Line2D(
[0], [0], color="tab:red", linewidth=2, linestyle="solid", label=r"NC"
)
axs.legend(handles=[numu, nc, osc_nuel, nuel], loc="upper center", fontsize=28)
save(save_path)
def plot_cosmic_values(events, prefix, save_path, zoom=False):
"""Plot the output cosmic rejection values from the network.
Args:
events (pd.DataFrame): events dataframe
prefix (str): prefix to choose correct model output
save_path (str): path to save plot to
"""
hist_range = (0, 1)
key = prefix + "_pred_t_cosmic_cat"
nuel_beam_cc_events = events[
(events["t_comb_cat"] == 0)
& (events["t_sample_type"] == 0)
& (events["simple_cut"] == 0)
]
nuel_osc_cc_events = events[
(events["t_comb_cat"] == 0)
& (events["t_sample_type"] == 1)
& (events["simple_cut"] == 0)
]
numu_cc_events = events[(events["t_comb_cat"] == 1) & (events["simple_cut"] == 0)]
nc_events = events[(events["t_comb_cat"] == 2) & (events["simple_cut"] == 0)]
cosmic_events = events[(events["t_comb_cat"] == 3) & (events["simple_cut"] == 0)]
fig, axs = plt.subplots(
1, 1, figsize=(12, 8), gridspec_kw={"hspace": 0.1, "wspace": 0.1}
)
bins = 25
hist_range = (0, 1)
plt.setp(axs, xticks=[0, 0.2, 0.4, 0.6, 0.8, 1])
axs.set_xlim(hist_range[0], hist_range[1])
axs.set_ylim(10e-4, 10e5)
if zoom:
bins = 50
hist_range = (0, 0.001)
plt.setp(axs, xticks=[0, 0.0002, 0.0004, 0.0006, 0.0008, 0.001])
axs.set_xlim(hist_range[0], hist_range[1])
axs.set_ylim(10e-4, 10e3)
axs.plot([0.0001, 0.0001], [10e-4, 10e1], "k-", lw=3, color="black")
axs.arrow(
0.0001,
10e1,
-0.00005,
0,
color="black",
lw=3,
length_includes_head=True,
head_width=35,
head_length=0.00002,
)
axs.hist(
nuel_beam_cc_events[key],
weights=nuel_beam_cc_events["w"],
range=hist_range,
bins=bins,
color="tab:olive",
histtype="step",
linewidth=2,
)
axs.hist(
nuel_osc_cc_events[key],
weights=nuel_osc_cc_events["w"],
range=hist_range,
bins=bins,
color="tab:green",
histtype="step",
linewidth=2,
)
axs.hist(
numu_cc_events[key],
weights=numu_cc_events["w"],
range=hist_range,
bins=bins,
color="tab:blue",
histtype="step",
linewidth=2,
)
axs.hist(
nc_events[key],
weights=nc_events["w"],
range=hist_range,
bins=bins,
color="tab:red",
histtype="step",
linewidth=2,
)
axs.hist(
cosmic_events[key],
weights=cosmic_events["w"],
range=hist_range,
bins=bins,
color="black",
histtype="step",
linewidth=2,
)
axs.set_yscale("log")
axs.set_xlabel(r"Cosmic score", fontsize=30)
axs.set_ylabel(r"Events/$6\times10^{20}$ POT", fontsize=30)
nuel = Line2D(
[0],
[0],
color="tab:olive",
linewidth=2,
linestyle="solid",
label=r"Beam CC $\nu_{e}$",
)
osc_nuel = Line2D(
[0],
[0],
color="tab:green",
linewidth=2,
linestyle="solid",
label=r"Appeared CC $\nu_{e}$",
)
numu = Line2D(
[0],
[0],
color="tab:blue",
linewidth=2,
linestyle="solid",
label=r"Survived CC $\nu_{\mu}$",
)
nc = Line2D([0], [0], color="tab:red", linewidth=2, linestyle="solid", label=r"NC")
cosmic = Line2D(
[0], [0], color="black", linewidth=2, linestyle="solid", label=r"Cosmic"
)
axs.legend(
handles=[cosmic, osc_nuel, numu, nuel, nc], loc="upper center", fontsize=26
)
save(save_path)
def plot_escapes_values(events, prefix, save_path):
"""Plot the output escapes values from the network.
Args:
events (pd.DataFrame): events dataframe
prefix (str): prefix to choose correct model output
save_path (str): path to save plot to
"""
bins = 50
hist_range = (0, 1)
key = prefix + "_pred_t_escapes"
nuel_beam_cc_events = events[
(events["t_comb_cat"] == 0)
& (events["t_sample_type"] == 0)
& (events["simple_cut"] == 0)
& (events["cosmic_cut"] == 0)
]
nuel_osc_cc_events = events[
(events["t_comb_cat"] == 0)
& (events["t_sample_type"] == 1)
& (events["simple_cut"] == 0)
& (events["cosmic_cut"] == 0)
]
numu_cc_events = events[
(events["t_comb_cat"] == 1)
& (events["simple_cut"] == 0)
& (events["cosmic_cut"] == 0)
]
nc_events = events[
(events["t_comb_cat"] == 2)
& (events["simple_cut"] == 0)
& (events["cosmic_cut"] == 0)
]
cosmic_events = events[
(events["t_comb_cat"] == 3)
& (events["simple_cut"] == 0)
& (events["cosmic_cut"] == 0)
]
fig, axs = plt.subplots(
1, 1, figsize=(12, 8), gridspec_kw={"hspace": 0.1, "wspace": 0.1}
)
plt.setp(axs, xticks=[0, 0.2, 0.4, 0.6, 0.8, 1])
axs.hist(
nuel_beam_cc_events[key],
weights=nuel_beam_cc_events["w"],
range=hist_range,
bins=bins,
color="tab:olive",
histtype="step",
linewidth=2,
)
axs.hist(
nuel_osc_cc_events[key],
weights=nuel_osc_cc_events["w"],
range=hist_range,
bins=bins,
color="tab:green",
histtype="step",
linewidth=2,
)
axs.hist(
numu_cc_events[key],
weights=numu_cc_events["w"],
range=hist_range,
bins=bins,
color="tab:blue",
histtype="step",
linewidth=2,
)
axs.hist(
nc_events[key],
weights=nc_events["w"],
range=hist_range,
bins=bins,
color="tab:red",
histtype="step",
linewidth=2,
)
axs.hist(
cosmic_events[key],
weights=cosmic_events["w"],
range=hist_range,
bins=bins,
color="black",
histtype="step",
linewidth=2,
)
axs.plot([0.33, 0.33], [10e-3, 5e0], "k-", lw=3, color="black")
axs.arrow(
0.33,
5e0,
-0.05,
0,
color="black",
lw=3,
length_includes_head=True,
head_width=3,
head_length=0.02,
)
axs.set_ylim(10e-3, 10e2)
axs.set_yscale("log")
axs.set_xlabel(r"Escapes score", fontsize=30)
axs.set_ylabel(r"Events/$6\times10^{20}$ POT", fontsize=30)
nuel = Line2D(
[0],
[0],
color="tab:olive",
linewidth=2,
linestyle="solid",
label=r"Beam CC $\nu_{e}$",
)
osc_nuel = Line2D(
[0],
[0],
color="tab:green",
linewidth=2,
linestyle="solid",
label=r"Appeared CC $\nu_{e}$",
)
numu = Line2D(
[0],
[0],
color="tab:blue",
linewidth=2,
linestyle="solid",
label=r"Survived CC $\nu_{\mu}$",
)
nc = Line2D([0], [0], color="tab:red", linewidth=2, linestyle="solid", label=r"NC")
# cosmic = Line2D(
# [0], [0], color="black", linewidth=2, linestyle="solid", label=r"cosmic"
# )
axs.legend(handles=[osc_nuel, numu, nuel, nc], loc="upper center", fontsize=26)
save(save_path)
def plot_eff_curves(events, cat, save_path, full=False, leg_pos=None, marker=None):
"""Plot the eff, pur, fom curves.
Args:
events (dict): events output
save_path (str): path to save plot to
"""
fig, axs = plt.subplots(1, 1, figsize=(12, 8))
plt.setp(
axs, xticks=[0, 0.20, 0.40, 0.60, 0.80, 1], yticks=[0, 20, 40, 60, 80, 100]
)
if cat == 1 and full is False:
plt.setp(
axs,
xticks=[0, 0.20, 0.40, 0.60, 0.80, 1],
yticks=[0, 75, 80, 85, 90, 95, 100],
)
styles = ["solid", "dashed", "dotted", "dashdot"]
for i in range(len(events)):
axs.plot(
events[i]["cuts"],
events[i]["sig_effs"][cat] * 100,
color="tab:orange",
linestyle=styles[i],
label="",
linewidth=2,
)
axs.plot(
events[i]["cuts"],
events[i]["purs"][cat] * 100,
color="tab:purple",
linestyle=styles[i],
linewidth=2,
)
axs.plot(
events[i]["cuts"],
events[i]["foms"][cat] * 100,
color="tab:cyan",
linestyle=styles[i],
linewidth=3,
)
axs.set_xlabel(r"CC $\nu_{e}$ score", fontsize=30)
if cat == 1:
axs.set_xlabel(r"CC $\nu_{\mu}$ score", fontsize=30)
axs.set_ylabel("Metric (\%)", fontsize=30)
axs.set_ylim(0, 100)
if marker:
axs.plot(marker[0], marker[1], marker="*", markersize=25, color="black")
if cat == 1 and full is False:
axs.set_ylim(70, 100)
axs.set_xlim(0, 1)
signal = Line2D(
[0],
[0],
color="tab:orange",
linewidth=2,
linestyle="solid",
label=r"CC $\nu_{e}$ efficiency",
)
if cat == 1:
signal = Line2D(
[0],
[0],
color="tab:orange",
linewidth=2,
linestyle="solid",
label=r"CC $\nu_{\mu}$ efficiency",
)
pur = Line2D(
[0],
[0],
color="tab:purple",
linewidth=2,
linestyle="solid",
label=r"CC $\nu_{e}$ purity",
)
if cat == 1:
pur = Line2D(
[0],
[0],
color="tab:purple",
linewidth=2,
linestyle="solid",
label=r"CC $\nu_{\mu}$ purity",
)
fom = Line2D(
[0],
[0],
color="tab:cyan",
linewidth=3,
linestyle="solid",
label=r"Efficiency $\times$ purity",
)
if cat == 0:
if leg_pos is not None:
axs.legend(handles=[signal, pur, fom], loc=leg_pos, fontsize=28)
else:
axs.legend(handles=[signal, pur, fom], loc="center left", fontsize=28)
elif cat == 1:
if leg_pos is not None:
axs.legend(handles=[signal, pur, fom], loc=leg_pos, fontsize=28)
else:
axs.legend(handles=[signal, pur, fom], loc="upper right", fontsize=28)
axs.grid()
save(save_path)
def plot_comp_curves(events, cat, save_path):
"""Plot the eff, pur, fom curves.
Args:
events (dict): events output
save_path (str): path to save plot to
"""
fig, axs = plt.subplots(1, 2, figsize=(12, 5), gridspec_kw={"wspace": 0.3})
# plt.setp(axs, xticks=[0, 0.25, 0.5, 0.75, 1], yticks=[0, 0.25, 0.5, 0.75, 1])
styles = ["solid", "dashed", "dotted", "dashdot"]
for i in range(len(events)):
axs[0].plot(
events[i]["bkg_effs"][cat],
events[i]["sig_effs"][cat],
color="tab:pink",
linestyle=styles[i],
linewidth=2,
)
axs[0].set_xlabel("Background efficiency", fontsize=30)
if cat == 0:
axs[0].set_ylabel(r"CC $\nu_{e}$ efficiency", fontsize=30)
else:
axs[0].set_ylabel(r"CC $\nu_{\mu}$ efficiency", fontsize=30)
# axs[0].plot([0, 1], [0, 1], "k-", lw=3, color="black")
# axs[0].set_ylim(0, 1)
# axs[0].set_xlim(0, 1)
axs[0].legend()
axs[0].grid()
for i in range(len(events)):
axs[1].plot(
events[i]["sig_effs"][cat],
events[i]["purs"][cat],
color="tab:green",
linestyle=styles[i],
linewidth=2,
)
if cat == 0:
axs[1].set_xlabel(r"CC $\nu_{e}$ efficiency", fontsize=30)
axs[1].set_ylabel(r"CC $\nu_{e}$ Purity", fontsize=30)
else:
axs[1].set_xlabel(r"CC $\nu_{\mu}$ efficiency", fontsize=30)
axs[1].set_ylabel(r"CC $\nu_{\mu}$ Purity", fontsize=30)
# axs[1].set_ylim(0, 1)
# axs[1].set_xlim(0, 1)
axs[1].legend()
axs[1].grid()
save(save_path)
def plot_value_nuel_hists(plots, ev, save_path, energy=r"E (GeV)", bin_width=0.5):
"""Plot the eff and pur plot vs neutrino energy.
Args:
events (dict): events output
ev (pd.DataFrame): events DataFrame
save_path (str): path to save plot to
"""
fig, axs = plt.subplots(1, 1, figsize=(12, 8))
bins = np.arange(0.25, 10.25, bin_width)
axs.errorbar(
bins,
np.array(plots[0][0]) * 100,
yerr=np.array(plots[0][1]) * 100,
color="tab:green",
linewidth=2,
)
axs.errorbar(
bins,
np.array(plots[1][0]) * 100,
yerr=np.array(plots[1][1]) * 100,
color="tab:olive",
linewidth=2,
)
axs.errorbar(
bins,
np.array(plots[2][0]) * 100,
yerr=np.array(plots[2][1]) * 100,
color="tab:blue",
linewidth=2,
)
axs.errorbar(
bins,
np.array(plots[3][0]) * 100,
yerr=np.array(plots[3][1]) * 100,
color="tab:red",
linewidth=2,
)
axs.errorbar(
bins,
np.array(plots[4][0]) * 100,
yerr=np.array(plots[4][1]) * 100,
color="black",
linewidth=2,
)
axs.hist(
ev[(ev["t_comb_cat"] == 0) & (ev["t_sample_type"] == 1)]["t_nu_energy"] / 1000,
range=(0, 10),
bins=20,
color="tab:green",
density=False,
alpha=0.3,
weights=ev[(ev["t_comb_cat"] == 0) & (ev["t_sample_type"] == 1)]["w"] * 6,
)
axs.set_xlabel(energy, fontsize=30)
axs.set_ylabel("Metric (\%)", fontsize=30)
axs.set_ylim([0, 100])
axs.set_xlim([0.5, 10])
axs.grid()
nuel = Line2D(
[0],
[0],
color="tab:olive",
linewidth=2,
linestyle="solid",
label=r"Beam CC $\nu_{e}$ efficiency",
)
osc_nuel = Line2D(
[0],
[0],
color="tab:green",
linewidth=2,
linestyle="solid",
label=r"Appeared CC $\nu_{e}$ efficiency",
)
numu = Line2D(
[0],
[0],
color="tab:blue",
linewidth=2,
linestyle="solid",
label=r"Survived CC $\nu_{\mu}$ efficiency",
)
nc = Line2D(
[0],
[0],
color="tab:red",
linewidth=2,
linestyle="solid",
label=r"NC efficiency",
)
purity = Line2D(
[0],
[0],
color="black",
linewidth=2,
linestyle="solid",
label=r"Appeared CC $\nu_{e}$ purity",
)
axs.legend(
handles=[osc_nuel, numu, nuel, nc, purity], loc="center right", fontsize=24
)
save(save_path)
def plot_value_numu_hists(plots, ev, save_path, energy=r"E (GeV)", bin_width=0.5):
"""Plot the eff and pur plot vs neutrino energy.
Args:
events (dict): events output
ev (pd.DataFrame): events DataFrame
save_path (str): path to save plot to
"""
fig, axs = plt.subplots(1, 1, figsize=(12, 8))
bins = np.arange(0.25, 10.25, bin_width)
axs.errorbar(
bins,
np.array(plots[0][0]) * 100,
yerr=np.array(plots[0][1]) * 100,
color="tab:green",
linewidth=2,
)
axs.errorbar(
bins,
np.array(plots[1][0]) * 100,
yerr=np.array(plots[1][1]) * 100,
color="tab:olive",
linewidth=2,
)
axs.errorbar(
bins,
np.array(plots[2][0]) * 100,
yerr=np.array(plots[2][1]) * 100,
color="tab:blue",
linewidth=2,
)
axs.errorbar(
bins,
np.array(plots[3][0]) * 100,
yerr=np.array(plots[3][1]) * 100,
color="tab:red",
linewidth=2,
)
axs.errorbar(
bins,
np.array(plots[4][0]) * 100,
yerr=np.array(plots[4][1]) * 100,
color="black",
linewidth=2,
)
axs.hist(
ev[ev["t_comb_cat"] == 1]["t_nu_energy"] / 1000,
range=(0, 10),
bins=20,
color="tab:blue",
density=False,
alpha=0.3,
weights=ev[ev["t_comb_cat"] == 1]["w"] * 0.15,
)
axs.set_xlabel(energy, fontsize=30)
axs.set_ylabel("Metric (\%)", fontsize=30)
axs.set_ylim([0, 100])
axs.set_xlim([0.5, 10])
axs.grid()
nuel = Line2D(
[0],
[0],
color="tab:olive",
linewidth=2,
linestyle="solid",
label=r"Beam CC $\nu_{e}$ efficiency",
)
osc_nuel = Line2D(
[0],
[0],
color="tab:green",
linewidth=2,
linestyle="solid",
label=r"Appeared CC $\nu_{e}$ efficiency",
)
numu = Line2D(
[0],
[0],
color="tab:blue",
linewidth=2,
linestyle="solid",
label=r"Survived CC $\nu_{\mu}$ efficiency",
)
nc = Line2D(
[0],
[0],
color="tab:red",
linewidth=2,
linestyle="solid",
label=r"NC efficiency",
)
purity = Line2D(
[0],
[0],
color="black",
linewidth=2,
linestyle="solid",
label=r"Survived CC $\nu_{\mu}$ purity",
)
axs.legend(
handles=[osc_nuel, numu, nuel, nc, purity], loc="center right", fontsize=24
)
save(save_path)
def plot_nuel_hists(events, ev, save_path, energy=r"E (GeV)", bin_width=0.5):
"""Plot the eff and pur plot vs neutrino energy.
Args:
events (dict): events output
ev (pd.DataFrame): events DataFrame
save_path (str): path to save plot to
"""
fig, axs = plt.subplots(1, 1, figsize=(12, 8))
bins = np.arange(0.25, 10.25, bin_width)
styles = ["solid", "dashed", "dotted", "dashdot"]
for i in range(len(events)):
axs.errorbar(
bins,
events[i]["fom_effs"][0][0][0] * 100,
yerr=events[i]["fom_effs"][0][0][1] * 100,
color="tab:green",
linestyle=styles[i],
linewidth=2,
)
axs.errorbar(
bins,
events[i]["fom_effs"][0][1][0] * 100,
yerr=events[i]["fom_effs"][0][1][1] * 100,
color="tab:olive",
linestyle=styles[i],
linewidth=2,
)
axs.errorbar(
bins,
events[i]["fom_effs"][0][2][0] * 100,
yerr=events[i]["fom_effs"][0][2][1] * 100,
color="tab:blue",
linestyle=styles[i],
linewidth=2,
)
axs.errorbar(
bins,
events[i]["fom_effs"][0][3][0] * 100,
yerr=events[i]["fom_effs"][0][3][1] * 100,
color="tab:red",
linestyle=styles[i],
linewidth=2,
)
axs.errorbar(
bins,
events[i]["fom_purs"][0][0] * 100,
yerr=events[i]["fom_purs"][0][1] * 100,
color="black",
linestyle=styles[i],
linewidth=2,
)
axs.hist(
ev[(ev["t_comb_cat"] == 0) & (ev["t_sample_type"] == 1)]["t_nu_energy"] / 1000,
range=(0, 10),
bins=20,
color="tab:green",
density=False,
alpha=0.3,
weights=ev[(ev["t_comb_cat"] == 0) & (ev["t_sample_type"] == 1)]["w"] * 6,
)
axs.set_xlabel(energy, fontsize=30)
axs.set_ylabel("Metric (\%)", fontsize=30)
axs.set_ylim([0, 100])
axs.set_xlim([0.5, 10])
axs.grid()
nuel = Line2D(
[0],
[0],
color="tab:olive",
linewidth=2,
linestyle="solid",
label=r"Beam CC $\nu_{e}$ efficiency",
)
osc_nuel = Line2D(
[0],
[0],
color="tab:green",
linewidth=2,
linestyle="solid",
label=r"Appeared CC $\nu_{e}$ efficiency",
)
numu = Line2D(
[0],
[0],
color="tab:blue",
linewidth=2,
linestyle="solid",
label=r"Survived CC $\nu_{\mu}$ efficiency",
)
nc = Line2D(
[0],
[0],
color="tab:red",
linewidth=2,
linestyle="solid",
label=r"NC efficiency",
)
purity = Line2D(
[0],
[0],
color="black",
linewidth=2,
linestyle="solid",
label=r"Appeared CC $\nu_{e}$ purity",
)
axs.legend(
handles=[osc_nuel, numu, nuel, nc, purity], loc="center right", fontsize=24
)
save(save_path)
def plot_numu_hists(events, ev, save_path, energy=r"E (GeV)"):
"""Plot the eff and pur plot vs neutrino energy.
Args:
events (dict): events output
ev (pd.DataFrame): events DataFrame
save_path (str): path to save plot to
"""
fig, axs = plt.subplots(1, 1, figsize=(12, 8))
bins = np.arange(0.25, 10.25, 0.5)
styles = ["solid", "dashed", "dotted", "dashdot"]
for i in range(len(events)):
axs.errorbar(
bins,
events[i]["fom_effs"][2][0][0] * 100,
yerr=events[i]["fom_effs"][2][0][1] * 100,
color="tab:green",
linestyle=styles[i],
linewidth=2,
)
axs.errorbar(
bins,
events[i]["fom_effs"][2][1][0] * 100,
yerr=events[i]["fom_effs"][2][1][1] * 100,
color="tab:olive",
linestyle=styles[i],
linewidth=2,
)
axs.errorbar(
bins,
events[i]["fom_effs"][2][2][0] * 100,
yerr=events[i]["fom_effs"][2][2][1] * 100,
color="tab:blue",
linestyle=styles[i],
linewidth=2,
)
axs.errorbar(
bins,
events[i]["fom_effs"][2][3][0] * 100,
yerr=events[i]["fom_effs"][2][3][1] * 100,
color="tab:red",
linestyle=styles[i],
linewidth=2,
)
axs.errorbar(
bins,
events[i]["fom_purs"][2][0] * 100,
yerr=events[i]["fom_purs"][2][1] * 100,
color="black",
linestyle=styles[i],
linewidth=2,
)
axs.hist(
ev[ev["t_comb_cat"] == 1]["t_nu_energy"] / 1000,
range=(0, 10),
bins=20,
color="tab:blue",
density=False,
alpha=0.3,
weights=ev[ev["t_comb_cat"] == 1]["w"] * 0.15,
)
axs.set_xlabel(energy, fontsize=30)
axs.set_ylabel("Metric (\%)", fontsize=30)
axs.set_ylim([0, 100])
axs.set_xlim([0.5, 10])
axs.grid()
nuel = Line2D(
[0],
[0],
color="tab:olive",
linewidth=2,
linestyle="solid",
label=r"Beam CC $\nu_{e}$ efficiency",
)
osc_nuel = Line2D(
[0],
[0],
color="tab:green",
linewidth=2,
linestyle="solid",
label=r"Appeared CC $\nu_{e}$ efficiency",
)
numu = Line2D(
[0],
[0],
color="tab:blue",
linewidth=2,
linestyle="solid",
label=r"Survived CC $\nu_{\mu}$ efficiency",
)
nc = Line2D(
[0],
[0],
color="tab:red",
linewidth=2,
linestyle="solid",
label=r"NC efficiency",
)
purity = Line2D(
[0],
[0],
color="black",
linewidth=2,
linestyle="solid",
label=r"Survived CC $\nu_{\mu}$ purity",
)
axs.legend(
handles=[osc_nuel, numu, nuel, nc, purity], loc="center right", fontsize=24
)
save(save_path)
def plot_history(
config, model, save_path, key="accuracy", label=r"accuracy", type="max"
):
"""Plot the training history of a list of models.
Args:
config (dotmap.DotMap): configuration namespace
models (list[str]): list of models to plot
save_path (str): path to save plot to
key (str): Key to use for second metric alongside loss
label (str): Label to use
type (str): max or min, which is best?
"""
fig, axs = plt.subplots(
1, 1, figsize=(12, 8), gridspec_kw={"hspace": 0.2, "wspace": 0.3}
)
# plt.setp(axs, xticks=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
history = chipsnet.utils.model_history(config, model)
epochs = np.arange(1, len(history["loss"]) + 1)
axs.set_xlabel("Epoch", fontsize=32)
axs.set_ylabel(label, color="tab:red", fontsize=32)
axs.plot(epochs, history[key], color="tab:red", linestyle="solid", linewidth=2)
axs.plot(
epochs, history["val_" + key], color="tab:red", linestyle="dashed", linewidth=2
)
best_epoch = history["val_" + key].to_numpy().argmax() + 1
if type == "min":
best_epoch = history["val_" + key].to_numpy().argmin() + 1
axs.plot([best_epoch, best_epoch], axs.get_ylim(), "k-", lw=4)
axs.tick_params(axis="y", labelcolor="tab:red")
axs_t = axs.twinx() # instantiate a second axes that shares the same x-axis
axs_t.set_ylabel(
"Loss", color="tab:blue", fontsize=32
) # we already handled the x-label with ax1
axs_t.plot(
epochs, history["loss"], color="tab:blue", linestyle="solid", linewidth=2
)
axs_t.plot(
epochs, history["val_loss"], color="tab:blue", linestyle="dashed", linewidth=2
)
axs_t.tick_params(axis="y", labelcolor="tab:blue")
# fig.tight_layout() # otherwise the right y-label is slightly clipped
save(save_path)
| 28.405071 | 88 | 0.510887 | 6,320 | 48,175 | 3.765981 | 0.063608 | 0.049998 | 0.034957 | 0.027856 | 0.850468 | 0.81047 | 0.776732 | 0.742574 | 0.709466 | 0.684803 | 0 | 0.060063 | 0.320208 | 48,175 | 1,695 | 89 | 28.421829 | 0.666707 | 0.079689 | 0 | 0.710948 | 0 | 0 | 0.132295 | 0.002097 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011348 | false | 0 | 0.00267 | 0 | 0.014019 | 0.002003 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a3162244384a529f5991baffb118234f67af5bea | 33,102 | py | Python | src/data/dataset_waymo.py | petergroth/trajectory_forecasting | 35bcf1e60d818cc1aaff746c3818ff56c574e854 | [
"MIT"
] | 1 | 2022-01-26T11:54:46.000Z | 2022-01-26T11:54:46.000Z | src/data/dataset_waymo.py | petergroth/trajectory_forecasting | 35bcf1e60d818cc1aaff746c3818ff56c574e854 | [
"MIT"
] | null | null | null | src/data/dataset_waymo.py | petergroth/trajectory_forecasting | 35bcf1e60d818cc1aaff746c3818ff56c574e854 | [
"MIT"
] | 1 | 2022-03-18T03:13:01.000Z | 2022-03-18T03:13:01.000Z | import math
import os
import os.path as osp
from typing import Optional
import numpy as np
import pytorch_lightning as pl
# import tensorflow as tf
import torch
from torch.nn.functional import one_hot
from torch_geometric.data import Data, Dataset, InMemoryDataset
from torch_geometric.loader import DataLoader
# from src.utils import parse_sequence
class OneStepWaymoTrainDataset(InMemoryDataset):
def __init__(self, root="", transform=None, pre_transform=None):
super(OneStepWaymoTrainDataset, self).__init__(root, transform, pre_transform)
self.data, self.slices = torch.load(self.processed_paths[0])
@property
def raw_file_names(self):
names = os.listdir("data/raw/waymo/train")
names.sort()
return names
@property
def processed_file_names(self):
return ["waymo_train_data.pt"]
@property
def raw_dir(self) -> str:
return osp.join(self.root, "data/raw/waymo/train")
@property
def processed_dir(self) -> str:
return osp.join(self.root, "data/processed/waymo/train/onestep")
def download(self):
pass
def process(self):
# Node attributes
key_values = [
"x",
"y",
"z",
"velocity_x",
"velocity_y",
"bbox_yaw",
"vel_yaw",
"width",
"length",
"height",
"valid",
]
# Dimensions
n_nodes = 128
n_features = len(key_values)
n_steps = 91
data_list = []
# Move through raw files
for i, raw_path in enumerate(self.raw_file_names):
# Load file
dataset = tf.data.TFRecordDataset(
self.raw_dir + "/" + raw_path, compression_type=""
)
for seq_idx, data in enumerate(dataset.as_numpy_iterator()):
# Parse sequence
parsed = parse_sequence(data)
# Allocate tensor for full value array
feature_matrix = torch.zeros((n_nodes, n_steps, n_features))
# Fill in all values
for j, key in enumerate(key_values):
# Encode history
feature_matrix[:, :10, j] = torch.Tensor(
parsed["state/past/" + key].numpy()
)
feature_matrix[:, 10, j] = torch.Tensor(
parsed["state/current/" + key].numpy()
).squeeze()
feature_matrix[:, 11:, j] = torch.Tensor(
parsed["state/future/" + key].numpy()
)
# Process yaw-values into [-pi, pi]
x_yaws = feature_matrix[:, :, 5:7]
x_yaws[x_yaws > 0] = (
torch.fmod(x_yaws[x_yaws > 0] + math.pi, torch.tensor(2 * math.pi))
- math.pi
)
x_yaws[x_yaws < 0] = (
torch.fmod(x_yaws[x_yaws < 0] - math.pi, torch.tensor(2 * math.pi))
+ math.pi
)
feature_matrix[:, :, 5:7] = x_yaws
# Values and mask to use for normalisation
vals = feature_matrix[:, :11, :-1]
mask = feature_matrix[:, :11, -1].bool()
loc = torch.mean(vals[mask], dim=0)
std = torch.std(vals[mask], dim=0)
# Determine input/target pairs
for t in range(n_steps - 1):
# Features
x = torch.Tensor(feature_matrix[:, t, :])
# Targets
y = torch.Tensor(feature_matrix[:, t + 1, :])
# Determine valid pairs
valid_x = x[:, -1] == 1
valid_y = y[:, -1] == 1
valid_mask = torch.logical_and(valid_x, valid_y)
# Combine features with types
node_features = torch.cat(
[
x[valid_mask, :-1],
one_hot(
torch.Tensor(parsed["state/type"].numpy())[
valid_mask
].type(torch.LongTensor),
num_classes=5,
),
],
dim=1,
)
# Save data object to list
data = Data(x=node_features, y=y[valid_mask, :7], edge_index=None)
data["loc"] = loc.unsqueeze(0)
data["std"] = std.unsqueeze(0)
data_list.append(data)
# Collate and save
data, slices = self.collate(data_list)
# GLOBAL SCALER
# global_scale = data.std[:, [0, 1, 2, 3, 4, 7, 8, 9]].mean()
# global_scaler = 8.025897979736328
torch.save((data, slices), self.processed_paths[0])
class SequentialWaymoTrainDataset(InMemoryDataset):
def __init__(self, root="", transform=None, pre_transform=None):
super(SequentialWaymoTrainDataset, self).__init__(
root, transform, pre_transform
)
self.data, self.slices = torch.load(self.processed_paths[0])
@property
def raw_file_names(self):
names = os.listdir("data/raw/waymo/train")
names.sort()
return names
@property
def processed_file_names(self):
return ["waymo_train_data.pt"]
@property
def raw_dir(self) -> str:
return osp.join(self.root, "data/raw/waymo/train")
@property
def processed_dir(self) -> str:
return osp.join(self.root, "data/processed/waymo/train/sequential")
def download(self):
pass
def process(self):
data_list = []
# Node attributes
key_values = [
"x",
"y",
# "z",
"velocity_x",
"velocity_y",
# "bbox_yaw",
# "vel_yaw",
"width",
"length",
"height",
"valid",
]
# Dimensions
n_nodes = 128
n_features = len(key_values)
n_steps = 91
# total_sum = np.zeros(16)
# Move through raw files
for i, raw_path in enumerate(self.raw_file_names):
# Load file
dataset = tf.data.TFRecordDataset(
self.raw_dir + "/" + raw_path, compression_type=""
)
for seq_idx, data in enumerate(dataset.as_numpy_iterator()):
# Parse sequence
parsed = parse_sequence(data)
# Allocate tensor for full value array
feature_matrix = np.zeros((n_nodes, n_steps, n_features))
# Fill in all values
for j, key in enumerate(key_values):
# Encode history
feature_matrix[:, :10, j] = parsed["state/past/" + key].numpy()
feature_matrix[:, 10, j] = (
parsed["state/current/" + key].numpy().squeeze()
)
feature_matrix[:, 11:, j] = parsed["state/future/" + key].numpy()
roadgraph = parsed["roadgraph_samples/xyz"].numpy()
roadgraph_type = parsed["roadgraph_samples/type"].numpy()
roadgraph_mask = np.array(
parsed["roadgraph_samples/valid"].numpy().squeeze(), dtype=bool
)
roadgraph = roadgraph[roadgraph_mask][:, :2]
roadgraph_type = roadgraph_type[roadgraph_mask][:, :2]
width = 150
# Compute span of area
all_x = feature_matrix[:, :11, 0][
feature_matrix[:, :11, -1].astype(bool)
]
all_y = feature_matrix[:, :11, 1][
feature_matrix[:, :11, -1].astype(bool)
]
center_x, center_y = np.mean(all_x), np.mean(all_y)
# channels = [1, 2, 3, 6, 7, 12, 15, 16, 17, 18, 19]
channel_dict = {
"LaneCenterFreeway": 1,
"LaneCenterSurfaceStreet": 2,
"LaneCenterBikeLane": 3,
"RoadLineBrokenSingleWhite": 6,
"RoadLineSolidSingleWhite": 7,
"RoadLineSolidDoubleWhite": 8,
"RoadLineBrokenSingleYellow": 9,
"RoadLineBrokenDoubleYellow": 10,
"RoadlineSolidSingleYellow": 11,
"RoadlineSolidDoubleYellow": 12,
"RoadLinePassingDoubleYellow": 13,
"RoadEdgeBoundary": 15,
"RoadEdgeMedian": 16,
"StopSign": 17,
"Crosswalk": 18,
"SpeedBump": 19,
}
# channels = np.arange(20)
u = np.zeros((len(channel_dict), width * 2, width * 2), dtype=np.byte)
for j, key in enumerate(channel_dict):
road_edge_mask = (roadgraph_type == channel_dict[key]).squeeze()
roadgraph_i = roadgraph[road_edge_mask]
# Histogram of roadgraph
u_i, _, _ = np.histogram2d(
x=roadgraph_i[:, 0],
y=roadgraph_i[:, 1],
range=[
[center_x - width / 2, center_x + width / 2],
[center_y - width / 2, center_y + width / 2],
],
bins=[width * 2, width * 2],
)
# Binarise
u_i[u_i > 0] = 1
# total_sum[i] += u_i.sum()
u_i = u_i.astype(np.byte)
u[j] = u_i.T
# Combine similar road features for smaller memory footprint
u_center = u[0] + u[1]
u_bikelane = u[2]
u_broken_white = u[3]
u_solid_white = u[4] + u[5]
u_broken_yellow = u[6] + u[7] + u[10]
u_solid_yellow = u[8] + u[9]
u_edges = u[11] + u[12]
u_obstacles = u[13] + u[14] + u[15]
u = np.stack(
[
u_center,
u_bikelane,
u_broken_white,
u_solid_white,
u_broken_yellow,
u_solid_yellow,
u_edges,
u_obstacles,
]
)
# for i in range(u.shape[0]):
# fig, ax = plt.subplots(1, 1, figsize=(10, 10))
# ax.imshow(u[i], origin='lower', extent=(center_x - width / 2,
# center_x + width / 2,
# center_y - width / 2,
# center_y + width / 2),
# interpolation=None, cmap='Greys'
# )
# ax.scatter(x=all_x, y=all_y, color='#f58a00')
# plt.title(i)
# plt.show()
#
# fig, ax = plt.subplots(1, 1, figsize=(10, 10))
# ax.imshow(np.sum(u,axis=0), origin='lower', extent=(center_x - width / 2,
# center_x + width / 2,
# center_y - width / 2,
# center_y + width / 2),
# interpolation=None, cmap='Greys'
# )
# ax.scatter(x=all_x, y=all_y, color='#f58a00')
# # plt.title(i)
# plt.show()
feature_matrix = torch.Tensor(feature_matrix)
# # Process yaw-values into [-pi, pi]
# x_yaws = feature_matrix[:, :, 5:7]
# x_yaws[x_yaws > 0] = (
# torch.fmod(x_yaws[x_yaws > 0] + math.pi, torch.tensor(2 * math.pi))
# - math.pi
# )
# x_yaws[x_yaws < 0] = (
# torch.fmod(x_yaws[x_yaws < 0] - math.pi, torch.tensor(2 * math.pi))
# + math.pi
# )
# feature_matrix[:, :, 5:7] = x_yaws
# Values and mask to use for normalisation
vals = feature_matrix[:, :11, :-1]
mask = feature_matrix[:, :11, -1].bool()
loc = torch.mean(vals[mask], dim=0)
std = torch.std(vals[mask], dim=0)
# Extract agent type
type = torch.Tensor(parsed["state/type"].numpy()).type(torch.LongTensor)
# Mask of valid agents for full sequence
mask = torch.where(type > -0.5, True, False)
data = Data(x=feature_matrix[mask], edge_index=None)
data["tracks_to_predict"] = torch.where(
torch.Tensor(parsed["state/tracks_to_predict"].numpy())[mask] > 0,
True,
False,
)
# Add agent type as one-hot encoded
data["type"] = one_hot(type[mask], num_classes=5)
data["loc"] = loc.unsqueeze(0)
data["std"] = std.unsqueeze(0)
data["u"] = torch.ByteTensor(u).unsqueeze(0)
data_list.append(data)
# print(f"Finished file {i+1}")
# Collate and save
# print("Attempting to collate")
data, slices = self.collate(data_list)
del data_list, feature_matrix, parsed, u, roadgraph, dataset
# print("Attempting to save")
torch.save((data, slices), self.processed_paths[0])
class SequentialWaymoValDataset(InMemoryDataset):
def __init__(self, root="", transform=None, pre_transform=None):
super(SequentialWaymoValDataset, self).__init__(root, transform, pre_transform)
self.data, self.slices = torch.load(self.processed_paths[0])
@property
def raw_file_names(self):
names = os.listdir("data/raw/waymo/val")
names.sort()
return names
@property
def processed_file_names(self):
return ["waymo_val_data.pt"]
@property
def raw_dir(self) -> str:
return osp.join(self.root, "data/raw/waymo/val")
@property
def processed_dir(self) -> str:
return osp.join(self.root, "data/processed/waymo/val")
def download(self):
pass
def process(self):
data_list = []
# Node attributes
key_values = [
"x",
"y",
# "z",
"velocity_x",
"velocity_y",
# "bbox_yaw",
# "vel_yaw",
"width",
"length",
"height",
"valid",
]
# Dimensions
n_nodes = 128
n_features = len(key_values)
n_steps = 91
# total_sum = np.zeros(16)
# Move through raw files
for i, raw_path in enumerate(self.raw_file_names):
# Load file
dataset = tf.data.TFRecordDataset(
self.raw_dir + "/" + raw_path, compression_type=""
)
for seq_idx, data in enumerate(dataset.as_numpy_iterator()):
# Parse sequence
parsed = parse_sequence(data)
# Allocate tensor for full value array
feature_matrix = np.zeros((n_nodes, n_steps, n_features))
# Fill in all values
for j, key in enumerate(key_values):
# Encode history
feature_matrix[:, :10, j] = parsed["state/past/" + key].numpy()
feature_matrix[:, 10, j] = (
parsed["state/current/" + key].numpy().squeeze()
)
feature_matrix[:, 11:, j] = parsed["state/future/" + key].numpy()
roadgraph = parsed["roadgraph_samples/xyz"].numpy()
roadgraph_type = parsed["roadgraph_samples/type"].numpy()
roadgraph_mask = np.array(
parsed["roadgraph_samples/valid"].numpy().squeeze(), dtype=bool
)
roadgraph = roadgraph[roadgraph_mask][:, :2]
roadgraph_type = roadgraph_type[roadgraph_mask][:, :2]
width = 150
# Compute span of area
all_x = feature_matrix[:, :11, 0][
feature_matrix[:, :11, -1].astype(bool)
]
all_y = feature_matrix[:, :11, 1][
feature_matrix[:, :11, -1].astype(bool)
]
center_x, center_y = np.mean(all_x), np.mean(all_y)
# channels = [1, 2, 3, 6, 7, 12, 15, 16, 17, 18, 19]
channel_dict = {
"LaneCenterFreeway": 1,
"LaneCenterSurfaceStreet": 2,
"LaneCenterBikeLane": 3,
"RoadLineBrokenSingleWhite": 6,
"RoadLineSolidSingleWhite": 7,
"RoadLineSolidDoubleWhite": 8,
"RoadLineBrokenSingleYellow": 9,
"RoadLineBrokenDoubleYellow": 10,
"RoadlineSolidSingleYellow": 11,
"RoadlineSolidDoubleYellow": 12,
"RoadLinePassingDoubleYellow": 13,
"RoadEdgeBoundary": 15,
"RoadEdgeMedian": 16,
"StopSign": 17,
"Crosswalk": 18,
"SpeedBump": 19,
}
# channels = np.arange(20)
u = np.zeros((len(channel_dict), width * 2, width * 2), dtype=np.byte)
for j, key in enumerate(channel_dict):
road_edge_mask = (roadgraph_type == channel_dict[key]).squeeze()
roadgraph_i = roadgraph[road_edge_mask]
# Histogram of roadgraph
u_i, _, _ = np.histogram2d(
x=roadgraph_i[:, 0],
y=roadgraph_i[:, 1],
range=[
[center_x - width / 2, center_x + width / 2],
[center_y - width / 2, center_y + width / 2],
],
bins=[width * 2, width * 2],
)
# Binarise
u_i[u_i > 0] = 1
# total_sum[i] += u_i.sum()
u_i = u_i.astype(np.byte)
u[j] = u_i.T
# Combine similar road features for smaller memory footprint
u_center = u[0] + u[1]
u_bikelane = u[2]
u_broken_white = u[3]
u_solid_white = u[4] + u[5]
u_broken_yellow = u[6] + u[7] + u[10]
u_solid_yellow = u[8] + u[9]
u_edges = u[11] + u[12]
u_obstacles = u[13] + u[14] + u[15]
u = np.stack(
[
u_center,
u_bikelane,
u_broken_white,
u_solid_white,
u_broken_yellow,
u_solid_yellow,
u_edges,
u_obstacles,
]
)
# for i in range(u.shape[0]):
# fig, ax = plt.subplots(1, 1, figsize=(10, 10))
# ax.imshow(u[i], origin='lower', extent=(center_x - width / 2,
# center_x + width / 2,
# center_y - width / 2,
# center_y + width / 2),
# interpolation=None, cmap='Greys'
# )
# ax.scatter(x=all_x, y=all_y, color='#f58a00')
# plt.title(i)
# plt.show()
#
# fig, ax = plt.subplots(1, 1, figsize=(10, 10))
# ax.imshow(np.sum(u,axis=0), origin='lower', extent=(center_x - width / 2,
# center_x + width / 2,
# center_y - width / 2,
# center_y + width / 2),
# interpolation=None, cmap='Greys'
# )
# ax.scatter(x=all_x, y=all_y, color='#f58a00')
# # plt.title(i)
# plt.show()
feature_matrix = torch.Tensor(feature_matrix)
# # Process yaw-values into [-pi, pi]
# x_yaws = feature_matrix[:, :, 5:7]
# x_yaws[x_yaws > 0] = (
# torch.fmod(x_yaws[x_yaws > 0] + math.pi, torch.tensor(2 * math.pi))
# - math.pi
# )
# x_yaws[x_yaws < 0] = (
# torch.fmod(x_yaws[x_yaws < 0] - math.pi, torch.tensor(2 * math.pi))
# + math.pi
# )
# feature_matrix[:, :, 5:7] = x_yaws
# Values and mask to use for normalisation
vals = feature_matrix[:, :11, :-1]
mask = feature_matrix[:, :11, -1].bool()
loc = torch.mean(vals[mask], dim=0)
std = torch.std(vals[mask], dim=0)
# Extract agent type
type = torch.Tensor(parsed["state/type"].numpy()).type(torch.LongTensor)
# Mask of valid agents for full sequence
mask = torch.where(type > -0.5, True, False)
data = Data(x=feature_matrix[mask], edge_index=None)
data["tracks_to_predict"] = torch.where(
torch.Tensor(parsed["state/tracks_to_predict"].numpy())[mask] > 0,
True,
False,
)
# Add agent type as one-hot encoded
data["type"] = one_hot(type[mask], num_classes=5)
data["loc"] = loc.unsqueeze(0)
data["std"] = std.unsqueeze(0)
data["u"] = torch.ByteTensor(u).unsqueeze(0)
data_list.append(data)
# print(f"Finished file {i+1}")
# Collate and save
# print("Attempting to collate")
data, slices = self.collate(data_list)
del data_list, feature_matrix, parsed, u, roadgraph, dataset
# print("Attempting to save")
torch.save((data, slices), self.processed_paths[0])
class SequentialWaymoTestDataset(InMemoryDataset):
def __init__(self, root="", transform=None, pre_transform=None):
super(SequentialWaymoTestDataset, self).__init__(root, transform, pre_transform)
self.data, self.slices = torch.load(self.processed_paths[0])
@property
def raw_file_names(self):
names = os.listdir("data/raw/waymo/test")
names.sort()
return names
@property
def processed_file_names(self):
return ["waymo_test_data.pt"]
@property
def raw_dir(self) -> str:
return osp.join(self.root, "data/raw/waymo/test")
@property
def processed_dir(self) -> str:
return osp.join(self.root, "data/processed/waymo/test")
def download(self):
pass
def process(self):
data_list = []
# Node attributes
key_values = [
"x",
"y",
# "z",
"velocity_x",
"velocity_y",
# "bbox_yaw",
# "vel_yaw",
"width",
"length",
"height",
"valid",
]
# Dimensions
n_nodes = 128
n_features = len(key_values)
n_steps = 91
# total_sum = np.zeros(16)
# Move through raw files
for i, raw_path in enumerate(self.raw_file_names):
# Load file
dataset = tf.data.TFRecordDataset(
self.raw_dir + "/" + raw_path, compression_type=""
)
for seq_idx, data in enumerate(dataset.as_numpy_iterator()):
# Parse sequence
parsed = parse_sequence(data)
# Allocate tensor for full value array
feature_matrix = np.zeros((n_nodes, n_steps, n_features))
# Fill in all values
for j, key in enumerate(key_values):
# Encode history
feature_matrix[:, :10, j] = parsed["state/past/" + key].numpy()
feature_matrix[:, 10, j] = (
parsed["state/current/" + key].numpy().squeeze()
)
feature_matrix[:, 11:, j] = parsed["state/future/" + key].numpy()
roadgraph = parsed["roadgraph_samples/xyz"].numpy()
roadgraph_type = parsed["roadgraph_samples/type"].numpy()
roadgraph_mask = np.array(
parsed["roadgraph_samples/valid"].numpy().squeeze(), dtype=bool
)
roadgraph = roadgraph[roadgraph_mask][:, :2]
roadgraph_type = roadgraph_type[roadgraph_mask][:, :2]
width = 150
# Compute span of area
all_x = feature_matrix[:, :11, 0][
feature_matrix[:, :11, -1].astype(bool)
]
all_y = feature_matrix[:, :11, 1][
feature_matrix[:, :11, -1].astype(bool)
]
center_x, center_y = np.mean(all_x), np.mean(all_y)
channel_dict = {
"LaneCenterFreeway": 1,
"LaneCenterSurfaceStreet": 2,
"LaneCenterBikeLane": 3,
"RoadLineBrokenSingleWhite": 6,
"RoadLineSolidSingleWhite": 7,
"RoadLineSolidDoubleWhite": 8,
"RoadLineBrokenSingleYellow": 9,
"RoadLineBrokenDoubleYellow": 10,
"RoadlineSolidSingleYellow": 11,
"RoadlineSolidDoubleYellow": 12,
"RoadLinePassingDoubleYellow": 13,
"RoadEdgeBoundary": 15,
"RoadEdgeMedian": 16,
"StopSign": 17,
"Crosswalk": 18,
"SpeedBump": 19,
}
u = np.zeros((len(channel_dict), width * 2, width * 2), dtype=np.byte)
for j, key in enumerate(channel_dict):
road_edge_mask = (roadgraph_type == channel_dict[key]).squeeze()
roadgraph_i = roadgraph[road_edge_mask]
# Histogram of roadgraph
u_i, _, _ = np.histogram2d(
x=roadgraph_i[:, 0],
y=roadgraph_i[:, 1],
range=[
[center_x - width / 2, center_x + width / 2],
[center_y - width / 2, center_y + width / 2],
],
bins=[width * 2, width * 2],
)
# Binarise
u_i[u_i > 0] = 1
u_i = u_i.astype(np.byte)
u[j] = u_i.T
# Combine similar road features for smaller memory footprint
u_center = u[0] + u[1]
u_bikelane = u[2]
u_broken_white = u[3]
u_solid_white = u[4] + u[5]
u_broken_yellow = u[6] + u[7] + u[10]
u_solid_yellow = u[8] + u[9]
u_edges = u[11] + u[12]
u_obstacles = u[13] + u[14] + u[15]
u = np.stack(
[
u_center,
u_bikelane,
u_broken_white,
u_solid_white,
u_broken_yellow,
u_solid_yellow,
u_edges,
u_obstacles,
]
)
feature_matrix = torch.Tensor(feature_matrix)
# Values and mask to use for normalisation
vals = feature_matrix[:, :11, :-1]
mask = feature_matrix[:, :11, -1].bool()
loc = torch.mean(vals[mask], dim=0)
std = torch.std(vals[mask], dim=0)
# Extract agent type
type = torch.Tensor(parsed["state/type"].numpy()).type(torch.LongTensor)
# Mask of valid agents for full sequence
mask = torch.where(type > -0.5, True, False)
data = Data(x=feature_matrix[mask], edge_index=None)
data["tracks_to_predict"] = torch.where(
torch.Tensor(parsed["state/tracks_to_predict"].numpy())[mask] > 0,
True,
False,
)
# Add agent type as one-hot encoded
data["type"] = one_hot(type[mask], num_classes=5)
data["loc"] = loc.unsqueeze(0)
data["std"] = std.unsqueeze(0)
data["u"] = torch.ByteTensor(u).unsqueeze(0)
data_list.append(data)
# Collate and save
data, slices = self.collate(data_list)
del data_list, feature_matrix, parsed, u, roadgraph, dataset
torch.save((data, slices), self.processed_paths[0])
class OneStepWaymoDataModule(pl.LightningDataModule):
def __init__(
self,
data_dir="data/processed/waymo",
batch_size=1,
shuffle=False,
val_batch_size: int = 1,
):
super().__init__(data_dir, batch_size, shuffle)
self.data_dir = data_dir
self.batch_size = batch_size
self.shuffle = shuffle
self.val_batch_size = val_batch_size
def prepare_data(self):
OneStepWaymoTrainDataset()
SequentialWaymoValDataset()
def setup(self, stage: Optional[str] = None):
self.train_dataset = OneStepWaymoTrainDataset()
self.val_dataset = SequentialWaymoValDataset()
self.test_dataset = SequentialWaymoTestDataset()
def train_dataloader(self):
return DataLoader(
self.train_dataset,
batch_size=self.batch_size,
shuffle=self.shuffle,
num_workers=8,
)
def val_dataloader(self):
return DataLoader(
self.val_dataset,
batch_size=self.val_batch_size,
shuffle=False,
num_workers=4,
)
def test_dataloader(self):
return DataLoader(
self.test_dataset,
batch_size=self.val_batch_size,
shuffle=False,
num_workers=4,
)
def predict_dataloader(self):
raise NotImplementedError
class SequentialWaymoDataModule(pl.LightningDataModule):
def __init__(
self,
data_dir="data/processed/waymo",
batch_size: int = 1,
shuffle: bool = False,
val_batch_size: int = 1,
):
super().__init__(data_dir, batch_size, shuffle)
self.data_dir = data_dir
self.batch_size = batch_size
self.shuffle = shuffle
self.val_batch_size = val_batch_size
def prepare_data(self):
SequentialWaymoTrainDataset()
SequentialWaymoValDataset()
SequentialWaymoTestDataset()
def setup(self, stage: Optional[str] = None):
if stage in (None, "fit"):
self.train_dataset = SequentialWaymoTrainDataset()
self.val_dataset = SequentialWaymoValDataset()
elif stage == "validate":
self.val_dataset = SequentialWaymoValDataset()
elif stage == "test":
self.test_dataset = SequentialWaymoTestDataset()
def train_dataloader(self):
return DataLoader(
self.train_dataset,
batch_size=self.batch_size,
shuffle=self.shuffle,
num_workers=8,
)
def val_dataloader(self):
return DataLoader(
self.val_dataset,
batch_size=self.val_batch_size,
shuffle=False,
num_workers=6,
)
def test_dataloader(self):
return DataLoader(
self.test_dataset,
batch_size=self.val_batch_size,
shuffle=False,
num_workers=6,
)
| 37.573212 | 91 | 0.464624 | 3,265 | 33,102 | 4.519449 | 0.088821 | 0.049336 | 0.024397 | 0.018433 | 0.91007 | 0.904242 | 0.893128 | 0.886555 | 0.885064 | 0.876593 | 0 | 0.027403 | 0.428947 | 33,102 | 880 | 92 | 37.615909 | 0.753214 | 0.144765 | 0 | 0.786184 | 0 | 0 | 0.074454 | 0.037743 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067434 | false | 0.011513 | 0.016447 | 0.029605 | 0.129934 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a33528e1e282eb25bf32c4896794f65d10c8d050 | 9,402 | py | Python | Rapsodo_Scraper.py | nate-tomlin/Rapsodo_Scraper | 95095b92d48fb3d13f0d791715047775819f6935 | [
"Unlicense"
] | 1 | 2020-12-08T20:55:22.000Z | 2020-12-08T20:55:22.000Z | Rapsodo_Scraper.py | nate-tomlin/Rapsodo_Scraper | 95095b92d48fb3d13f0d791715047775819f6935 | [
"Unlicense"
] | null | null | null | Rapsodo_Scraper.py | nate-tomlin/Rapsodo_Scraper | 95095b92d48fb3d13f0d791715047775819f6935 | [
"Unlicense"
] | null | null | null | from selenium import webdriver
from time import sleep
import csv
class Bot:
def __init__(self, username, password):
#Accessing Page
self.driver = webdriver.Chrome()
self.driver.get("https://cloud.rapsodo.com/2.1/#/auth/login")
sleep(5)
#Logging In
self.driver.find_element_by_xpath('/html/body/app-root/app-guest/app-login/div/div/div/form/div[2]/div[1]/input').send_keys(username) #Username Field X-Path
self.driver.find_element_by_xpath('/html/body/app-root/app-guest/app-login/div/div/div/form/div[3]/div[1]/input').send_keys(password) #Password Field X-Path
self.driver.find_element_by_xpath('/html/body/app-root/app-guest/app-login/div/div/div/form/div[5]/div[1]/button').click() #Login Button X-Path
sleep(10)
def pitching(self):
#Selects Pitching Tab
self.driver.find_element_by_xpath('/html/body/app-root/app-auth/main/div/app-team-management/app-player-type-selector/ul/li[1]/a').click()
sleep(5)
#Expands View To All Players
self.driver.find_element_by_xpath('/html/body/app-root/app-auth/main/div/app-team-management/div[2]/div/ngb-tabset/div/div/app-player/div[2]/app-table/div/div/div/button').click()
sleep(5)
self.driver.find_element_by_xpath('/html/body/app-root/app-auth/main/div/app-team-management/div[2]/div/ngb-tabset/div/div/app-player/div[2]/app-table/div/div/div/div/button[5]').click()
sleep(5)
#Selects Player /html/body/app-root/app-auth/main/div/app-team-management/div[2]/div/ngb-tabset/div/div/app-player/div[2]/app-table/div/table/tbody/tr[1]/td[2]/div/app-profile-information/div
player = input("Please Paste in the Players Full XPATH: ")
name = self.driver.find_element_by_xpath(player).text
self.driver.find_element_by_xpath(player).click()
sleep(10)
#Gets Seesion
self.driver.find_element_by_xpath('/html/body/app-root/app-auth/main/div/app-personal-stats/div[2]/ngb-tabset/ul/li[3]/a').click() #Clicks Sessions
sleep(10)
#Gets The Player Session /html/body/app-root/app-auth/main/div/app-personal-stats/div[2]/ngb-tabset/div/div/app-sessions/div[2]/table/tbody/tr
session = input("Please Paste in the Session Full XPATH: ")
date = self.driver.find_element_by_xpath(session).text #Gets Session Date
self.driver.find_element_by_xpath(session).click()
sleep(2)
#Gets Column Names Into List
columns_list = []
columns = self.driver.find_elements_by_class_name("sortable")
for column in columns:
columns_list.append(column.text)
columns_list.append("PITCH TYPE")
date_col = 'DATE'
columns_list.insert(1, date_col)
#Gets data from session and puts it in a list
data_list = []
data = self.driver.find_elements_by_tag_name("tr")
for i in data:
row = i.text.split(" ") #Splits row on space
row.insert(1, date)
last_value = row[-1].split("\n") #Splits last element in row on \n
row.pop(-1) #Reomves last element
row = row + last_value #Adds splited last element
data_list.append(row) #Adds row to list
#Removes Empty Strings
while([""] in data_list):
data_list.remove([""])
#Removes List with emptey string and date
while(["", date] in data_list):
data_list.remove(["", date])
#Removes unnessisary header values
for i in range(len(data_list[0])):
data_list[0].pop(0)
for i in range(len(data_list[1])):
data_list[1].pop(0)
#Reveses Order of Data List
data_list.reverse()
#Creates and Writes to CSV File
with open(name + '_' + date +'_RapsodoPitchingData.csv', 'w') as fp:
write = csv.writer(fp, delimiter=',')
col = columns_list
data = data_list
write.writerow(col) #Writes Header Data
write.writerows(data) #Writes Data Rows
print("")
print("Data Saved To: " + name + "_" + date + "_RapsodoPitchingData.csv")
print("")
self.again()
def hitting(self):
#Selects Hitting Tab
self.driver.find_element_by_xpath('/html/body/app-root/app-auth/main/div/app-team-management/app-player-type-selector/ul/li[2]/a').click()
sleep(5)
#Expands View To All Players
self.driver.find_element_by_xpath('/html/body/app-root/app-auth/main/div/app-team-management/div[2]/div/ngb-tabset/div/div/app-player/div[2]/app-table/div/div/div/button').click()
sleep(5)
self.driver.find_element_by_xpath('/html/body/app-root/app-auth/main/div/app-team-management/div[2]/div/ngb-tabset/div/div/app-player/div[2]/app-table/div/div/div/div/button[5]').click()
sleep(5)
#Selects Player /html/body/app-root/app-auth/main/div/app-team-management/div[2]/div/ngb-tabset/div/div/app-player/div[2]/app-table/div/table/tbody/tr[1]/td[2]/div/app-profile-information/div
player = input("Please Paste in the Players Full XPATH: ")
name = self.driver.find_element_by_xpath(player).text #Gets Players Name
self.driver.find_element_by_xpath(player).click()
sleep(10)
#Gets Seesion
self.driver.find_element_by_xpath('/html/body/app-root/app-auth/main/div/app-personal-stats/div[2]/ngb-tabset/ul/li[3]/a').click() #Clicks Sessions
sleep(10)
#Gets The Player Session /html/body/app-root/app-auth/main/div/app-personal-stats/div[2]/ngb-tabset/div/div/app-sessions/div[2]/table/tbody/tr
session = input("Please Paste in the Session Full XPATH: ")
date = self.driver.find_element_by_xpath(session).text #Gets Session Date
self.driver.find_element_by_xpath(session).click()
sleep(2)
#Gets Column Names Into List
columns_list = []
columns = self.driver.find_elements_by_class_name("sortable")
for column in columns:
columns_list.append(column.text)
date_col = 'DATE'
columns_list.insert(1, date_col)
#Gets data from session and puts it in a list
data_list = []
data = self.driver.find_elements_by_tag_name("tr")
for i in data:
row = i.text.split(" ") #Splits row on space
row.insert(1, date)
last_value = row[-1].split("\n") #Splits last element in row on \n
row.pop(-1) #Reomves last element
row = row + last_value #Adds splited last element
data_list.append(row) #Adds row to list
#Removes Empty Strings
while([""] in data_list):
data_list.remove([""])
#Removes List with emptey string and date
while(["", date] in data_list):
data_list.remove(["", date])
#Removes unnessisary header values
for i in range(len(data_list[0])):
data_list[0].pop(0)
for i in range(len(data_list[1])):
data_list[1].pop(0)
#Reveses Order of Data List
data_list.reverse()
#Creates and Writes to CSV File
with open(name + '_' + date + '_RapsodoHittingData.csv', 'w') as fp:
write = csv.writer(fp, delimiter=',')
col = columns_list
data = data_list
write.writerow(col) #Writes Header Data
write.writerows(data) #Writes Data Rows
print("")
print("Data Saved To: " + name + "_" + date + "_RapsodoHittingData.csv")
print("")
self.again()
def again(self):
again = input("Would you like to get more pitcher data, hitter data, or quit (p/h/q): ")
if again == "p":
print("")
self.driver.back()
sleep(5)
print("Getting Pitcher Data.")
self.pitching()
elif again == "h":
print("")
self.driver.back()
sleep(5)
print("Getting Hitter Data.")
self.hitting()
elif again == "q":
self.driver.quit() #Quits Selenium
exit()
else:
print("Please Enter the correct value (p/h/q).")
self.again()
def types(username, password):
#Starts Selenium Bot Based on Pitching or Hitting
types = input("Pitching or Hitting Data (p/h): ")
if types == "p":
print("Getting Pitcher Data.")
myBot = Bot(username, password)
myBot.pitching()
elif types == "h":
print("Getting Hitter Data.")
myBot = Bot(username, password)
myBot.hitting()
else:
print("Please Enter a 'p' or an 'h'.")
print("Restarting...")
login()
def login():
#Login Info
username = input("Please Enter Your Rapsodo Username/Email: ")
password = input("Please Enter Your Rapsodo Password: ")
types(username, password)
def start():
#Prints Start Scree Graphic
print("")
print("")
print("|------------------------------|")
print("| Welcome to Rapsodo Scraper |")
print("|------------------------------|")
print("")
print("")
login()
#Starts Script
start() | 40.701299 | 199 | 0.600723 | 1,292 | 9,402 | 4.272446 | 0.149381 | 0.050725 | 0.058333 | 0.072283 | 0.809964 | 0.786775 | 0.774819 | 0.774819 | 0.760688 | 0.760688 | 0 | 0.011051 | 0.258881 | 9,402 | 231 | 200 | 40.701299 | 0.781142 | 0.190385 | 0 | 0.730061 | 0 | 0.07362 | 0.258995 | 0.171032 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042945 | false | 0.042945 | 0.018405 | 0 | 0.067485 | 0.134969 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a3883cd73325c1fd19fe6a8862a8f708f5709a9f | 9,757 | py | Python | MnistAutoencoder.py | ttaa9/DSW | ca29d425d4a535f53e70a7a45ebd13a7b196f8c9 | [
"MIT"
] | 32 | 2020-02-18T04:01:56.000Z | 2022-03-23T07:34:33.000Z | MnistAutoencoder.py | ttaa9/DSW | ca29d425d4a535f53e70a7a45ebd13a7b196f8c9 | [
"MIT"
] | 2 | 2021-04-20T06:02:17.000Z | 2021-05-27T13:05:13.000Z | MnistAutoencoder.py | ttaa9/DSW | ca29d425d4a535f53e70a7a45ebd13a7b196f8c9 | [
"MIT"
] | 9 | 2020-03-22T18:19:16.000Z | 2021-11-18T00:04:56.000Z | import torch
import torch.nn as nn
from utils import (
distributional_generalized_sliced_wasserstein_distance,
distributional_sliced_wasserstein_distance,
generalized_sliced_wasserstein_distance,
max_generalized_sliced_wasserstein_distance,
sliced_wasserstein_distance,
)
class Encoder(nn.Module):
def __init__(self, image_size, hidden_size, latent_size):
super(Encoder, self).__init__()
self.image_size = image_size ** 2
self.hidden_size = hidden_size
self.latent_size = latent_size
self.main = nn.Sequential(
nn.Linear(self.image_size, 4 * hidden_size),
nn.LeakyReLU(0.2, True),
nn.Linear(4 * hidden_size, 2 * hidden_size),
nn.LeakyReLU(0.2, True),
nn.Linear(2 * hidden_size, hidden_size),
nn.LeakyReLU(0.2, True),
nn.Linear(hidden_size, self.latent_size),
)
def forward(self, input):
return self.main(input.view(-1, self.image_size))
class Decoder(nn.Module):
def __init__(self, image_size, hidden_size, latent_size):
super(Decoder, self).__init__()
self.image_size = image_size ** 2
self.hidden_size = hidden_size
self.latent_size = latent_size
self.main = nn.Sequential(
nn.Linear(latent_size, hidden_size),
nn.ReLU(True),
nn.Linear(hidden_size, 2 * hidden_size),
nn.ReLU(True),
nn.Linear(2 * hidden_size, 4 * hidden_size),
nn.ReLU(True),
nn.Linear(4 * hidden_size, self.image_size),
nn.ReLU(True),
)
def forward(self, input):
return self.main(input)
class MnistAutoencoder(nn.Module):
def __init__(self, image_size, hidden_size, latent_size, device):
super(MnistAutoencoder, self).__init__()
self.image_size = image_size
self.hidden_size = hidden_size
self.latent_size = latent_size
self.device = device
self.encoder = Encoder(image_size, hidden_size, latent_size)
self.decoder = Decoder(image_size, hidden_size, latent_size)
def compute_loss_SWD(self, minibatch, rand_dist, num_projection, p=2):
data = minibatch.to(self.device)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
data_fake = self.decoder(z_prior)
_swd = sliced_wasserstein_distance(
data.view(data.shape[0], -1), data_fake.view(data.shape[0], -1), num_projection, p, self.device
)
return _swd
def compute_loss_MGSWNN(self, minibatch, rand_dist, gsw, max_iter, p=2):
data = minibatch.to(self.device)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
data_fake = self.decoder(z_prior)
gswd = gsw.max_gsw(data.view(data.shape[0], -1), data_fake.view(data.shape[0], -1), iterations=max_iter)
return gswd
def compute_loss_JMGSWNN(self, minibatch, rand_dist, gsw, max_iter, p=2):
data = minibatch.to(self.device)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
x_prior = self.decoder(z_prior)
z_encode = self.encoder(data)
X = torch.cat([z_encode, data.view(minibatch.shape[0], -1)], dim=1)
Y = torch.cat([z_prior, x_prior.view(minibatch.shape[0], -1)], dim=1)
gswd = gsw.max_gsw(X, Y, iterations=max_iter)
return gswd
def compute_loss_GSWD(self, minibatch, rand_dist, g_function, r, num_projection, p=2):
data = minibatch.to(self.device)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
data_fake = self.decoder(z_prior)
_gswd = generalized_sliced_wasserstein_distance(
data.view(data.shape[0], -1),
data_fake.view(data.shape[0], -1),
g_function,
r,
num_projection,
p,
self.device,
)
return _gswd
def compute_loss_JGSWD(self, minibatch, rand_dist, g_function, r, num_projection, p=2):
data = minibatch.to(self.device)
z_data = self.encoder(data)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
data_fake = self.decoder(z_prior)
_gswd = generalized_sliced_wasserstein_distance(
torch.cat([z_data, data.view(data.shape[0], -1)], dim=1),
torch.cat([z_prior, data_fake.view(data.shape[0], -1)], dim=1),
g_function,
r,
num_projection,
p,
self.device,
)
return _gswd
def compute_lossDGSWD(self, minibatch, rand_dist, num_projections, tnet, op_tnet, g, r, p=2, max_iter=100, lam=1):
data = minibatch.to(self.device)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
data_fake = self.decoder(z_prior)
_dswd = distributional_generalized_sliced_wasserstein_distance(
data.view(data.shape[0], -1),
data_fake.view(data.shape[0], -1),
num_projections,
tnet,
op_tnet,
g,
r,
p,
max_iter,
lam,
self.device,
)
return _dswd
def compute_lossJDGSWD(self, minibatch, rand_dist, num_projections, tnet, op_tnet, g, r, p=2, max_iter=100, lam=1):
data = minibatch.to(self.device)
z_data = self.encoder(data)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
data_fake = self.decoder(z_prior)
_dswd = distributional_generalized_sliced_wasserstein_distance(
torch.cat([z_data, data.view(data.shape[0], -1)], dim=1),
torch.cat([z_prior, data_fake.view(data.shape[0], -1)], dim=1),
num_projections,
tnet,
op_tnet,
g,
r,
p,
max_iter,
lam,
self.device,
)
return _dswd
def compute_loss_JSWD(self, minibatch, rand_dist, num_projection, p=2):
data = minibatch.to(self.device)
z_data = self.encoder(data)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
data_fake = self.decoder(z_prior)
_swd = sliced_wasserstein_distance(
torch.cat([z_data, data.view(data.shape[0], -1)], dim=1),
torch.cat([z_prior, data_fake.view(data.shape[0], -1)], dim=1),
num_projection,
p,
self.device,
)
return _swd
def compute_lossJDSWD(self, minibatch, rand_dist, num_projections, tnet, op_tnet, p=2, max_iter=100, lam=1):
data = minibatch.to(self.device)
z_data = self.encoder(data)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
data_fake = self.decoder(z_prior)
_dswd = distributional_sliced_wasserstein_distance(
torch.cat([z_data, data.view(data.shape[0], -1)], dim=1),
torch.cat([z_prior, data_fake.view(data.shape[0], -1)], dim=1),
num_projections,
tnet,
op_tnet,
p,
max_iter,
lam,
self.device,
)
return _dswd
def compute_loss_MSWD(self, minibatch, rand_dist, gsw, max_iter):
data = minibatch.to(self.device)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
data_fake = self.decoder(z_prior)
_mswd = gsw.max_gsw(data.view(data.shape[0], -1), data_fake.view(data.shape[0], -1), iterations=max_iter)
return _mswd
def compute_loss_MGSWD(self, minibatch, rand_dist, theta, theta_op, g, r, p=2, max_iter=100):
data = minibatch.to(self.device)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
data_fake = self.decoder(z_prior)
_mswd = max_generalized_sliced_wasserstein_distance(
data.view(data.shape[0], -1), data_fake.view(data.shape[0], -1), theta, theta_op, g, r, p, max_iter
)
return _mswd
def compute_loss_JMGSWD(self, minibatch, rand_dist, theta, theta_op, g, r, p=2, max_iter=100):
data = minibatch.to(self.device)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
x_prior = self.decoder(z_prior)
z_encode = self.encoder(data)
x1 = torch.cat([z_encode, data.view(data.shape[0], -1)], dim=1)
x2 = torch.cat([z_prior, x_prior.view(data.shape[0], -1)], dim=1)
_mswd = max_generalized_sliced_wasserstein_distance(x1, x2, theta, theta_op, g, r, p, max_iter)
return _mswd
def compute_loss_JMSWD(self, minibatch, rand_dist, gsw, max_iter):
data = minibatch.to(self.device)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
x_prior = self.decoder(z_prior)
z_encode = self.encoder(data)
x1 = torch.cat([z_encode, data.view(data.shape[0], -1)], dim=1)
x2 = torch.cat([z_prior, x_prior.view(data.shape[0], -1)], dim=1)
_mswd = gsw.max_gsw(x1, x2, iterations=max_iter)
return _mswd
def compute_lossDSWD(self, minibatch, rand_dist, num_projections, tnet, op_tnet, p=2, max_iter=100, lam=1):
data = minibatch.to(self.device)
z_prior = rand_dist((data.shape[0], self.latent_size)).to(self.device)
data_fake = self.decoder(z_prior)
_dswd = distributional_sliced_wasserstein_distance(
data.view(data.shape[0], -1),
data_fake.view(data.shape[0], -1),
num_projections,
tnet,
op_tnet,
p,
max_iter,
lam,
self.device,
)
return _dswd
| 38.87251 | 119 | 0.609819 | 1,331 | 9,757 | 4.211119 | 0.066116 | 0.04496 | 0.071365 | 0.064942 | 0.915433 | 0.893488 | 0.862266 | 0.819982 | 0.795897 | 0.777163 | 0 | 0.020008 | 0.2675 | 9,757 | 250 | 120 | 39.028 | 0.764237 | 0 | 0 | 0.704545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086364 | false | 0 | 0.013636 | 0.009091 | 0.186364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
42b2557fdbb7e5b427df753a09ee7cefe58e1dd9 | 15,675 | py | Python | sdk/python/pulumi_aws/securityhub/finding_aggregator.py | chivandikwa/pulumi-aws | 19c08bf9dcb90544450ffa4eec7bf6751058fde2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/securityhub/finding_aggregator.py | chivandikwa/pulumi-aws | 19c08bf9dcb90544450ffa4eec7bf6751058fde2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/securityhub/finding_aggregator.py | chivandikwa/pulumi-aws | 19c08bf9dcb90544450ffa4eec7bf6751058fde2 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
__all__ = ['FindingAggregatorArgs', 'FindingAggregator']
@pulumi.input_type
class FindingAggregatorArgs:
def __init__(__self__, *,
linking_mode: pulumi.Input[str],
specified_regions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None):
"""
The set of arguments for constructing a FindingAggregator resource.
:param pulumi.Input[str] linking_mode: Indicates whether to aggregate findings from all of the available Regions or from a specified list. The options are `ALL_REGIONS`, `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`. When `ALL_REGIONS` or `ALL_REGIONS_EXCEPT_SPECIFIED` are used, Security Hub will automatically aggregate findings from new Regions as Security Hub supports them and you opt into them.
:param pulumi.Input[Sequence[pulumi.Input[str]]] specified_regions: List of regions to include or exclude (required if `linking_mode` is set to `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`)
"""
pulumi.set(__self__, "linking_mode", linking_mode)
if specified_regions is not None:
pulumi.set(__self__, "specified_regions", specified_regions)
@property
@pulumi.getter(name="linkingMode")
def linking_mode(self) -> pulumi.Input[str]:
"""
Indicates whether to aggregate findings from all of the available Regions or from a specified list. The options are `ALL_REGIONS`, `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`. When `ALL_REGIONS` or `ALL_REGIONS_EXCEPT_SPECIFIED` are used, Security Hub will automatically aggregate findings from new Regions as Security Hub supports them and you opt into them.
"""
return pulumi.get(self, "linking_mode")
@linking_mode.setter
def linking_mode(self, value: pulumi.Input[str]):
pulumi.set(self, "linking_mode", value)
@property
@pulumi.getter(name="specifiedRegions")
def specified_regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
List of regions to include or exclude (required if `linking_mode` is set to `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`)
"""
return pulumi.get(self, "specified_regions")
@specified_regions.setter
def specified_regions(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "specified_regions", value)
@pulumi.input_type
class _FindingAggregatorState:
def __init__(__self__, *,
linking_mode: Optional[pulumi.Input[str]] = None,
specified_regions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None):
"""
Input properties used for looking up and filtering FindingAggregator resources.
:param pulumi.Input[str] linking_mode: Indicates whether to aggregate findings from all of the available Regions or from a specified list. The options are `ALL_REGIONS`, `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`. When `ALL_REGIONS` or `ALL_REGIONS_EXCEPT_SPECIFIED` are used, Security Hub will automatically aggregate findings from new Regions as Security Hub supports them and you opt into them.
:param pulumi.Input[Sequence[pulumi.Input[str]]] specified_regions: List of regions to include or exclude (required if `linking_mode` is set to `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`)
"""
if linking_mode is not None:
pulumi.set(__self__, "linking_mode", linking_mode)
if specified_regions is not None:
pulumi.set(__self__, "specified_regions", specified_regions)
@property
@pulumi.getter(name="linkingMode")
def linking_mode(self) -> Optional[pulumi.Input[str]]:
"""
Indicates whether to aggregate findings from all of the available Regions or from a specified list. The options are `ALL_REGIONS`, `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`. When `ALL_REGIONS` or `ALL_REGIONS_EXCEPT_SPECIFIED` are used, Security Hub will automatically aggregate findings from new Regions as Security Hub supports them and you opt into them.
"""
return pulumi.get(self, "linking_mode")
@linking_mode.setter
def linking_mode(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "linking_mode", value)
@property
@pulumi.getter(name="specifiedRegions")
def specified_regions(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]:
"""
List of regions to include or exclude (required if `linking_mode` is set to `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`)
"""
return pulumi.get(self, "specified_regions")
@specified_regions.setter
def specified_regions(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]):
pulumi.set(self, "specified_regions", value)
class FindingAggregator(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
linking_mode: Optional[pulumi.Input[str]] = None,
specified_regions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
__props__=None):
"""
Manages a Security Hub finding aggregator. Security Hub needs to be enabled in a region in order for the aggregator to pull through findings.
## Example Usage
### All Regions Usage
The following example will enable the aggregator for every region.
```python
import pulumi
import pulumi_aws as aws
example_account = aws.securityhub.Account("exampleAccount")
example_finding_aggregator = aws.securityhub.FindingAggregator("exampleFindingAggregator", linking_mode="ALL_REGIONS",
opts=pulumi.ResourceOptions(depends_on=[example_account]))
```
### All Regions Except Specified Regions Usage
The following example will enable the aggregator for every region except those specified in `specified_regions`.
```python
import pulumi
import pulumi_aws as aws
example_account = aws.securityhub.Account("exampleAccount")
example_finding_aggregator = aws.securityhub.FindingAggregator("exampleFindingAggregator",
linking_mode="ALL_REGIONS_EXCEPT_SPECIFIED",
specified_regions=[
"eu-west-1",
"eu-west-2",
],
opts=pulumi.ResourceOptions(depends_on=[example_account]))
```
### Specified Regions Usage
The following example will enable the aggregator for every region specified in `specified_regions`.
```python
import pulumi
import pulumi_aws as aws
example_account = aws.securityhub.Account("exampleAccount")
example_finding_aggregator = aws.securityhub.FindingAggregator("exampleFindingAggregator",
linking_mode="SPECIFIED_REGIONS",
specified_regions=[
"eu-west-1",
"eu-west-2",
],
opts=pulumi.ResourceOptions(depends_on=[example_account]))
```
## Import
An existing Security Hub finding aggregator can be imported using the `arn`, e.g.,
```sh
$ pulumi import aws:securityhub/findingAggregator:FindingAggregator example arn:aws:securityhub:eu-west-1:123456789098:finding-aggregator/abcd1234-abcd-1234-1234-abcdef123456
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] linking_mode: Indicates whether to aggregate findings from all of the available Regions or from a specified list. The options are `ALL_REGIONS`, `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`. When `ALL_REGIONS` or `ALL_REGIONS_EXCEPT_SPECIFIED` are used, Security Hub will automatically aggregate findings from new Regions as Security Hub supports them and you opt into them.
:param pulumi.Input[Sequence[pulumi.Input[str]]] specified_regions: List of regions to include or exclude (required if `linking_mode` is set to `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`)
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: FindingAggregatorArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
Manages a Security Hub finding aggregator. Security Hub needs to be enabled in a region in order for the aggregator to pull through findings.
## Example Usage
### All Regions Usage
The following example will enable the aggregator for every region.
```python
import pulumi
import pulumi_aws as aws
example_account = aws.securityhub.Account("exampleAccount")
example_finding_aggregator = aws.securityhub.FindingAggregator("exampleFindingAggregator", linking_mode="ALL_REGIONS",
opts=pulumi.ResourceOptions(depends_on=[example_account]))
```
### All Regions Except Specified Regions Usage
The following example will enable the aggregator for every region except those specified in `specified_regions`.
```python
import pulumi
import pulumi_aws as aws
example_account = aws.securityhub.Account("exampleAccount")
example_finding_aggregator = aws.securityhub.FindingAggregator("exampleFindingAggregator",
linking_mode="ALL_REGIONS_EXCEPT_SPECIFIED",
specified_regions=[
"eu-west-1",
"eu-west-2",
],
opts=pulumi.ResourceOptions(depends_on=[example_account]))
```
### Specified Regions Usage
The following example will enable the aggregator for every region specified in `specified_regions`.
```python
import pulumi
import pulumi_aws as aws
example_account = aws.securityhub.Account("exampleAccount")
example_finding_aggregator = aws.securityhub.FindingAggregator("exampleFindingAggregator",
linking_mode="SPECIFIED_REGIONS",
specified_regions=[
"eu-west-1",
"eu-west-2",
],
opts=pulumi.ResourceOptions(depends_on=[example_account]))
```
## Import
An existing Security Hub finding aggregator can be imported using the `arn`, e.g.,
```sh
$ pulumi import aws:securityhub/findingAggregator:FindingAggregator example arn:aws:securityhub:eu-west-1:123456789098:finding-aggregator/abcd1234-abcd-1234-1234-abcdef123456
```
:param str resource_name: The name of the resource.
:param FindingAggregatorArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(FindingAggregatorArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
linking_mode: Optional[pulumi.Input[str]] = None,
specified_regions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = FindingAggregatorArgs.__new__(FindingAggregatorArgs)
if linking_mode is None and not opts.urn:
raise TypeError("Missing required property 'linking_mode'")
__props__.__dict__["linking_mode"] = linking_mode
__props__.__dict__["specified_regions"] = specified_regions
super(FindingAggregator, __self__).__init__(
'aws:securityhub/findingAggregator:FindingAggregator',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
linking_mode: Optional[pulumi.Input[str]] = None,
specified_regions: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None) -> 'FindingAggregator':
"""
Get an existing FindingAggregator resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] linking_mode: Indicates whether to aggregate findings from all of the available Regions or from a specified list. The options are `ALL_REGIONS`, `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`. When `ALL_REGIONS` or `ALL_REGIONS_EXCEPT_SPECIFIED` are used, Security Hub will automatically aggregate findings from new Regions as Security Hub supports them and you opt into them.
:param pulumi.Input[Sequence[pulumi.Input[str]]] specified_regions: List of regions to include or exclude (required if `linking_mode` is set to `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`)
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _FindingAggregatorState.__new__(_FindingAggregatorState)
__props__.__dict__["linking_mode"] = linking_mode
__props__.__dict__["specified_regions"] = specified_regions
return FindingAggregator(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="linkingMode")
def linking_mode(self) -> pulumi.Output[str]:
"""
Indicates whether to aggregate findings from all of the available Regions or from a specified list. The options are `ALL_REGIONS`, `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`. When `ALL_REGIONS` or `ALL_REGIONS_EXCEPT_SPECIFIED` are used, Security Hub will automatically aggregate findings from new Regions as Security Hub supports them and you opt into them.
"""
return pulumi.get(self, "linking_mode")
@property
@pulumi.getter(name="specifiedRegions")
def specified_regions(self) -> pulumi.Output[Optional[Sequence[str]]]:
"""
List of regions to include or exclude (required if `linking_mode` is set to `ALL_REGIONS_EXCEPT_SPECIFIED` or `SPECIFIED_REGIONS`)
"""
return pulumi.get(self, "specified_regions")
| 50.892857 | 416 | 0.691356 | 1,823 | 15,675 | 5.717499 | 0.10203 | 0.090569 | 0.037609 | 0.059964 | 0.827593 | 0.80898 | 0.808117 | 0.800537 | 0.795644 | 0.7896 | 0 | 0.005846 | 0.225199 | 15,675 | 307 | 417 | 51.058632 | 0.852367 | 0.555279 | 0 | 0.568966 | 1 | 0 | 0.109508 | 0.012224 | 0 | 0 | 0 | 0 | 0 | 1 | 0.146552 | false | 0.008621 | 0.043103 | 0 | 0.275862 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6e4358cc4d247a5b890ac9f084b668c1273f015c | 1,674 | py | Python | flowx/quantum/_interface/_run_circuit.py | Balaras-Group/flowX | 29c1d6209abbfab553997b557794e4d7b06a09a8 | [
"BSD-3-Clause"
] | null | null | null | flowx/quantum/_interface/_run_circuit.py | Balaras-Group/flowX | 29c1d6209abbfab553997b557794e4d7b06a09a8 | [
"BSD-3-Clause"
] | 7 | 2020-03-05T20:39:32.000Z | 2020-03-13T01:11:26.000Z | flowx/quantum/_interface/_run_circuit.py | Balaras-Group/flowX | 29c1d6209abbfab553997b557794e4d7b06a09a8 | [
"BSD-3-Clause"
] | 1 | 2020-03-09T17:38:00.000Z | 2020-03-09T17:38:00.000Z | from qiskit import IBMQ, Aer, BasicAer, execute
from qiskit.providers.ibmq import least_busy
from qiskit.tools.monitor import job_monitor
from qiskit.providers.aer.noise import NoiseModel
def run_circuit_QASM(
device, noise, fitter, circuit, quantum_register, classical_register
):
circuit.measure(quantum_register, classical_register)
job = execute(
circuit, backend=device, shots=1024, noise_model=noise[0], basis_gates=noise[1]
)
job_monitor(job, interval=2)
noisy_results = job.result()
noisy_answer = noisy_results.get_counts()
mitigated_results, mitigated_answer = [noisy_results, noisy_answer]
if fitter:
mitigated_results = fitter.filter.apply(noisy_results)
mitigated_answer = mitigated_results.get_counts()
results = {"noisy": noisy_results, "mitigated": mitigated_results}
answer = {"noisy": noisy_answer, "mitigated": mitigated_answer}
return results, answer
def run_circuit_IBMQ(
device, noise, fitter, circuit, quantum_register, classical_register
):
circuit.measure(quantum_register, classical_register)
job = execute(circuit, backend=device, shots=1024, max_credits=10)
job_monitor(job, interval=2)
noisy_results = job.result()
noisy_answer = noisy_results.get_counts()
mitigated_results, mitigated_answer = [noisy_results, noisy_answer]
if fitter:
mitigated_results = fitter.filter.apply(noisy_results)
mitigated_answer = mitigated_results.get_counts()
results = {"noisy": noisy_results, "mitigated": mitigated_results}
answer = {"noisy": noisy_answer, "mitigated": mitigated_answer}
return results, answer
| 30.436364 | 87 | 0.741935 | 199 | 1,674 | 5.974874 | 0.246231 | 0.100925 | 0.08074 | 0.107653 | 0.802355 | 0.802355 | 0.802355 | 0.802355 | 0.802355 | 0.802355 | 0 | 0.010029 | 0.166069 | 1,674 | 54 | 88 | 31 | 0.841691 | 0 | 0 | 0.722222 | 0 | 0 | 0.033453 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.111111 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
2864451f323e0943eb32d7ba0c53c3249cc52e92 | 20,026 | py | Python | tests/sourcecode/test_source.py | purna135/scancode-toolkit-contrib | ef556c4bb2bfc513f486d5b58d43895c062d44cb | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | tests/sourcecode/test_source.py | purna135/scancode-toolkit-contrib | ef556c4bb2bfc513f486d5b58d43895c062d44cb | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | tests/sourcecode/test_source.py | purna135/scancode-toolkit-contrib | ef556c4bb2bfc513f486d5b58d43895c062d44cb | [
"Apache-2.0",
"CC0-1.0"
] | null | null | null | #
# Copyright (c) 2017 nexB Inc. and others. All rights reserved.
# http://nexb.com and https://github.com/nexB/scancode-toolkit/
# The ScanCode software is licensed under the Apache License version 2.0.
# Data generated with ScanCode require an acknowledgment.
# ScanCode is a trademark of nexB Inc.
#
# You may not use this software except in compliance with the License.
# You may obtain a copy of the License at: http://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.
#
# When you publish or redistribute any data created with ScanCode or any ScanCode
# derivative work, you must accompany this data with the following acknowledgment:
#
# Generated with ScanCode and provided on an "AS IS" BASIS, WITHOUT WARRANTIES
# OR CONDITIONS OF ANY KIND, either express or implied. No content created from
# ScanCode should be considered or used as legal advice. Consult an Attorney
# for any legal advice.
# ScanCode is a free software code scanning tool from nexB Inc. and others.
# Visit https://github.com/nexB/scancode-toolkit/ for support and download.
from __future__ import absolute_import, print_function
import os
from commoncode.testcase import FileBasedTesting
from sourcecode.source import Source
class TestSource(FileBasedTesting):
test_data_dir = os.path.join(os.path.dirname(__file__), 'data')
def test_source_tags(self):
self._do_test_source(TEST_DATA)
def _do_test_source(self, testdata):
for location, expected in testdata.items():
test_file = self.get_test_loc(location)
src = Source(test_file)
result = src.files, src.global_functions, src.local_functions
assert expected == result
TEST_DATA = {
'source/ssdeep/match.c': (['match.c'],
['lsh_list_init',
'lsh_list_insert',
'match_add',
'match_compare',
'match_init',
'match_load',
'match_pretty'],
[]),
'source/ssdeep/cycles.c': (['cycles.c'],
['done_processing_dir',
'have_processed_dir',
'processing_dir'],
[]),
'source/ssdeep/dig.c': (['dig.c'],
['clean_name',
'clean_name_win32',
'file_type',
'file_type_helper',
'is_special_dir',
'is_win32_device_file',
'process_dir',
'process_normal',
'process_win32',
'remove_double_dirs',
'remove_double_slash',
'remove_single_dirs',
'should_hash',
'should_hash_symlink'],
[]),
'source/ssdeep/edit_dist.c': (['edit_dist.c'], ['edit_distn'], []),
'source/ssdeep/engine.c': (['engine.c'], ['hash_file'], []),
'source/ssdeep/find-file-size.c': (['find-file-size.c'],
['find_dev_size',
'find_file_size',
'find_file_size',
'midpoint'],
[]),
'source/ssdeep/fuzzy.c': (['fuzzy.c'],
['eliminate_sequences',
'fuzzy_compare',
'fuzzy_hash_buf',
'fuzzy_hash_file',
'has_common_substring',
'roll_hash',
'roll_reset',
'score_strings',
'ss_destroy',
'ss_engine',
'ss_init',
'ss_update',
'sum_hash'],
[]),
'source/ssdeep/fuzzy.h': (['fuzzy.h'],
['fuzzy_compare', 'fuzzy_hash_buf', 'fuzzy_hash_file'],
[]),
'source/ssdeep/helpers.c': (['helpers.c'],
['chop_line',
'chop_line_tchar',
'find_comma_separated_string',
'find_comma_separated_string_tchar',
'find_next_comma',
'find_next_comma_tchar',
'mm_magic',
'my_basename',
'my_dirname',
'prepare_filename',
'sanity_check',
'shift_string',
'shift_string_tchar',
'try'],
[]),
'source/ssdeep/main.c': (['main.c'],
['generate_filename',
'initialize_state',
'is_absolute_path',
'main',
'prepare_windows_command_line',
'process_cmd_line',
'usage'],
[]),
'source/ssdeep/main.h': (['main.h'],
['basename',
'chop_line',
'chop_line_tchar',
'display_filename',
'done_processing_dir',
'fatal_error',
'find_comma_separated_string',
'find_comma_separated_string_tchar',
'find_file_size',
'getopt',
'hash_file',
'have_processed_dir',
'internal_error',
'match_add',
'match_compare',
'match_init',
'match_load',
'match_pretty',
'my_basename',
'my_dirname',
'prepare_filename',
'print_error',
'print_error_unicode',
'print_status',
'process_normal',
'process_win32',
'processing_dir',
'sanity_check',
'shift_string',
'shift_string_tchar'],
[]),
'source/ssdeep/match.c': (['match.c'],
['lsh_list_init',
'lsh_list_insert',
'match_add',
'match_compare',
'match_init',
'match_load',
'match_pretty'],
[]),
'source/ssdeep/sample.c': (['sample.c'],
['generate_random', 'main', 'write_data'],
[]),
'source/ssdeep/ssdeep.h': (['ssdeep.h'], [], []),
'source/ssdeep/tchar-local.h': (['tchar-local.h'], [], []),
'source/ssdeep/ui.c': (['ui.c'],
['display_filename',
'fatal_error',
'internal_error',
'print_error',
'print_error_unicode',
'print_status'],
[]),
'source/magick/orig/Drawable.h': (
['Drawable.h'],
['Coordinate', 'Coordinate', 'Drawable', 'Drawable', 'Drawable', 'DrawableAffine', 'DrawableAffine', 'DrawableArc', 'DrawableBase', 'DrawableBezier', 'DrawableBezier', 'DrawableCircle', 'DrawableClipPath', 'DrawableClipPath', 'DrawableColor', 'DrawableCompositeImage', 'DrawableCompositeImage', 'DrawableDashArray', 'DrawableDashArray', 'DrawableDashArray', 'DrawableDashOffset', 'DrawableEllipse', 'DrawableFillColor', 'DrawableFillColor', 'DrawableFillOpacity', 'DrawableFillRule', 'DrawableFont', 'DrawableFont', 'DrawableFont', 'DrawableGravity', 'DrawableLine', 'DrawableMatte', 'DrawableMiterLimit', 'DrawablePath', 'DrawablePath', 'DrawablePoint', 'DrawablePointSize', 'DrawablePolygon', 'DrawablePolygon', 'DrawablePolyline', 'DrawablePolyline', 'DrawablePopClipPath', 'DrawablePopGraphicContext', 'DrawablePopPattern', 'DrawablePushClipPath', 'DrawablePushClipPath', 'DrawablePushGraphicContext', 'DrawablePushPattern', 'DrawablePushPattern', 'DrawableRectangle', 'DrawableRotation', 'DrawableRoundRectangle', 'DrawableScaling', 'DrawableSkewX', 'DrawableSkewY', 'DrawableStrokeAntialias', 'DrawableStrokeColor', 'DrawableStrokeColor', 'DrawableStrokeLineCap', 'DrawableStrokeLineJoin', 'DrawableStrokeOpacity', 'DrawableStrokeWidth', 'DrawableText', 'DrawableText', 'DrawableTextAntialias', 'DrawableTextAntialias', 'DrawableTextDecoration', 'DrawableTextDecoration', 'DrawableTextUnderColor', 'DrawableTextUnderColor', 'DrawableTranslation', 'DrawableViewbox', 'PathArcAbs', 'PathArcAbs', 'PathArcAbs', 'PathArcArgs', 'PathArcArgs', 'PathArcArgs', 'PathArcRel', 'PathArcRel', 'PathArcRel', 'PathClosePath', 'PathCurvetoAbs', 'PathCurvetoAbs', 'PathCurvetoAbs', 'PathCurvetoArgs', 'PathCurvetoArgs', 'PathCurvetoArgs', 'PathCurvetoRel', 'PathCurvetoRel', 'PathCurvetoRel', 'PathLinetoAbs', 'PathLinetoAbs', 'PathLinetoAbs', 'PathLinetoHorizontalAbs', 'PathLinetoHorizontalRel', 'PathLinetoRel', 'PathLinetoRel', 'PathLinetoRel', 'PathLinetoVerticalAbs', 'PathLinetoVerticalRel', 'PathMovetoAbs', 'PathMovetoAbs', 'PathMovetoAbs', 'PathMovetoRel', 'PathMovetoRel', 'PathMovetoRel', 'PathQuadraticCurvetoAbs', 'PathQuadraticCurvetoAbs', 'PathQuadraticCurvetoAbs', 'PathQuadraticCurvetoArgs', 'PathQuadraticCurvetoArgs', 'PathQuadraticCurvetoArgs', 'PathQuadraticCurvetoRel', 'PathQuadraticCurvetoRel', 'PathQuadraticCurvetoRel', 'PathSmoothCurvetoAbs', 'PathSmoothCurvetoAbs', 'PathSmoothCurvetoAbs', 'PathSmoothCurvetoRel', 'PathSmoothCurvetoRel', 'PathSmoothCurvetoRel', 'PathSmoothQuadraticCurvetoAbs', 'PathSmoothQuadraticCurvetoAbs', 'PathSmoothQuadraticCurvetoAbs', 'PathSmoothQuadraticCurvetoRel', 'PathSmoothQuadraticCurvetoRel', 'PathSmoothQuadraticCurvetoRel', 'VPath', 'VPath', 'VPath', 'VPathBase', 'angle', 'angle', 'arcEnd', 'arcEnd', 'arcStart', 'arcStart', 'centerX', 'centerX', 'centerY', 'centerY', 'clip_path', 'clip_path', 'color', 'color', 'color', 'composition', 'composition', 'copy', 'copy', 'copy', 'copy', 'copy', 'copy', 'cornerHeight', 'cornerHeight', 'cornerWidth', 'cornerWidth', 'dasharray', 'dasharray', 'dasharray', 'decoration', 'decoration', 'encoding', 'endDegrees', 'endDegrees', 'endX', 'endX', 'endY', 'endY', 'filename', 'filename', 'fillRule', 'fillRule', 'flag', 'flag', 'font', 'font', 'gravity', 'gravity', 'height', 'height', 'hight', 'hight', 'image', 'image', 'largeArcFlag', 'largeArcFlag', 'linecap', 'linecap', 'linejoin', 'linejoin', 'lowerRightX', 'lowerRightX', 'lowerRightY', 'lowerRightY', 'magick', 'magick', 'miterlimit', 'miterlimit', 'offset', 'offset', 'opacity', 'opacity', 'operator !=', 'operator !=', 'operator !=', 'operator !=', 'operator !=', 'operator !=', 'operator ()', 'operator ()', 'operator ()', 'operator ()', 'operator ()', 'operator ()', 'operator <', 'operator <', 'operator <', 'operator <', 'operator <', 'operator <', 'operator <=', 'operator <=', 'operator <=', 'operator <=', 'operator <=', 'operator <=', 'operator =', 'operator =', 'operator =', 'operator =', 'operator ==', 'operator ==', 'operator ==', 'operator ==', 'operator ==', 'operator ==', 'operator >', 'operator >', 'operator >', 'operator >', 'operator >', 'operator >', 'operator >=', 'operator >=', 'operator >=', 'operator >=', 'operator >=', 'operator >=', 'originX', 'originX', 'originY', 'originY', 'paintMethod', 'paintMethod', 'perimX', 'perimX', 'perimY', 'perimY', 'pointSize', 'pointSize', 'radiusX', 'radiusX', 'radiusY', 'radiusY', 'rx', 'rx', 'ry', 'ry', 'startDegrees', 'startDegrees', 'startX', 'startX', 'startY', 'startY', 'sweepFlag', 'sweepFlag', 'sx', 'sx', 'sy', 'sy', 'text', 'text', 'tx', 'tx', 'ty', 'ty', 'upperLeftX', 'upperLeftX', 'upperLeftY', 'upperLeftY', 'width', 'width', 'x', 'x', 'x', 'x', 'x', 'x', 'x1', 'x1', 'x1', 'x1', 'x1', 'x2', 'x2', 'x2', 'x2', 'xAxisRotation', 'xAxisRotation', 'y', 'y', 'y', 'y', 'y', 'y', 'y1', 'y1', 'y1', 'y1', 'y1', 'y1', 'y2', 'y2', 'y2', 'y2', '~Coordinate', '~Drawable', '~DrawableAffine', '~DrawableArc', '~DrawableBase', '~DrawableBezier', '~DrawableCircle', '~DrawableClipPath', '~DrawableColor', '~DrawableCompositeImage', '~DrawableDashArray', '~DrawableDashOffset', '~DrawableEllipse', '~DrawableFillColor', '~DrawableFillOpacity', '~DrawableFillRule', '~DrawableFont', '~DrawableGravity', '~DrawableLine', '~DrawableMatte', '~DrawableMiterLimit', '~DrawablePath', '~DrawablePoint', '~DrawablePointSize', '~DrawablePolygon', '~DrawablePolyline', '~DrawablePopClipPath', '~DrawablePopGraphicContext', '~DrawablePopPattern', '~DrawablePushClipPath', '~DrawablePushGraphicContext', '~DrawablePushPattern', '~DrawableRectangle', '~DrawableRotation', '~DrawableRoundRectangle', '~DrawableScaling', '~DrawableSkewX', '~DrawableSkewY', '~DrawableStrokeAntialias', '~DrawableStrokeColor', '~DrawableStrokeLineCap', '~DrawableStrokeLineJoin', '~DrawableStrokeOpacity', '~DrawableStrokeWidth', '~DrawableText', '~DrawableTextAntialias', '~DrawableTextDecoration', '~DrawableTextUnderColor', '~DrawableTranslation', '~DrawableViewbox', '~PathArcAbs', '~PathArcArgs', '~PathArcRel', '~PathClosePath', '~PathCurvetoAbs', '~PathCurvetoArgs', '~PathCurvetoRel', '~PathLinetoAbs', '~PathLinetoHorizontalAbs', '~PathLinetoHorizontalRel', '~PathLinetoRel', '~PathLinetoVerticalAbs', '~PathLinetoVerticalRel', '~PathMovetoAbs', '~PathMovetoRel', '~PathQuadraticCurvetoAbs', '~PathQuadraticCurvetoArgs', '~PathQuadraticCurvetoRel', '~PathSmoothCurvetoAbs', '~PathSmoothCurvetoRel', '~PathSmoothQuadraticCurvetoAbs', '~PathSmoothQuadraticCurvetoRel', '~VPath', '~VPathBase'], []),
'source/magick/moded/Drawable.h': (
['Drawable.h'],
['Coordinate', 'Coordinate', 'Drawable', 'Drawable', 'Drawable', 'DrawableAffine', 'DrawableAffine', 'DrawableArc', 'DrawableBase', 'DrawableBezier', 'DrawableBezier', 'DrawableCircle', 'DrawableClipPath', 'DrawableClipPath', 'DrawableColor', 'DrawableCompositeImage', 'DrawableCompositeImage', 'DrawableDashArray', 'DrawableDashArray', 'DrawableDashArray', 'DrawableDashOffset', 'DrawableEllipse', 'DrawableFillColor', 'DrawableFillColor', 'DrawableFillOpacity', 'DrawableFillRule', 'DrawableFont', 'DrawableFont', 'DrawableFont', 'DrawableGravity', 'DrawableLine', 'DrawableMatte', 'DrawableMiterLimit', 'DrawablePath', 'DrawablePath', 'DrawablePoint', 'DrawablePointSize', 'DrawablePolygon', 'DrawablePolygon', 'DrawablePolyline', 'DrawablePolyline', 'DrawablePopClipPath', 'DrawablePopGraphicContext', 'DrawablePopPattern', 'DrawablePushClipPath', 'DrawablePushClipPath', 'DrawablePushGraphicContext', 'DrawablePushPattern', 'DrawablePushPattern', 'DrawableRectangle', 'DrawableRotation', 'DrawableRoundRectangle', 'DrawableScaling', 'DrawableSkewX', 'DrawableSkewY', 'DrawableStrokeAntialias', 'DrawableStrokeColor', 'DrawableStrokeColor', 'DrawableStrokeLineCap', 'DrawableStrokeLineJoin', 'DrawableStrokeOpacity', 'DrawableStrokeWidth', 'DrawableText', 'DrawableText', 'DrawableTextAntialias', 'DrawableTextAntialias', 'DrawableTextDecoration', 'DrawableTextDecoration', 'DrawableTextUnderColor', 'DrawableTextUnderColor', 'DrawableTranslation', 'DrawableViewbox', 'PathArcAbs', 'PathArcAbs', 'PathArcAbs', 'PathArcArgs', 'PathArcArgs', 'PathArcArgs', 'PathArcRel', 'PathArcRel', 'PathArcRel', 'PathClosePath', 'PathCurvetoAbs', 'PathCurvetoAbs', 'PathCurvetoAbs', 'PathCurvetoArgs', 'PathCurvetoArgs', 'PathCurvetoArgs', 'PathCurvetoRel', 'PathCurvetoRel', 'PathCurvetoRel', 'PathLinetoAbs', 'PathLinetoAbs', 'PathLinetoAbs', 'PathLinetoHorizontalAbs', 'PathLinetoHorizontalRel', 'PathLinetoRel', 'PathLinetoRel', 'PathLinetoRel', 'PathLinetoVerticalAbs', 'PathLinetoVerticalRel', 'PathMovetoAbs', 'PathMovetoAbs', 'PathMovetoAbs', 'PathMovetoRel', 'PathMovetoRel', 'PathMovetoRel', 'PathQuadraticCurvetoAbs', 'PathQuadraticCurvetoAbs', 'PathQuadraticCurvetoAbs', 'PathQuadraticCurvetoArgs', 'PathQuadraticCurvetoArgs', 'PathQuadraticCurvetoArgs', 'PathQuadraticCurvetoRel', 'PathQuadraticCurvetoRel', 'PathQuadraticCurvetoRel', 'PathSmoothCurvetoAbs', 'PathSmoothCurvetoAbs', 'PathSmoothCurvetoAbs', 'PathSmoothCurvetoRel', 'PathSmoothCurvetoRel', 'PathSmoothCurvetoRel', 'PathSmoothQuadraticCurvetoAbs', 'PathSmoothQuadraticCurvetoAbs', 'PathSmoothQuadraticCurvetoAbs', 'PathSmoothQuadraticCurvetoRel', 'PathSmoothQuadraticCurvetoRel', 'PathSmoothQuadraticCurvetoRel', 'VPath', 'VPath', 'VPath', 'VPathBase', 'angle', 'angle', 'arcEnd', 'arcEnd', 'arcStart', 'arcStart', 'centerX', 'centerX', 'centerY', 'centerY', 'clip_path', 'clip_path', 'color', 'color', 'color', 'composition', 'composition', 'copy', 'copy', 'copy', 'copy', 'copy', 'copy', 'cornerHeight', 'cornerHeight', 'cornerWidth', 'cornerWidth', 'dasharray', 'dasharray', 'dasharray', 'decoration', 'decoration', 'encoding', 'endDegrees', 'endDegrees', 'endX', 'endX', 'endY', 'endY', 'filename', 'filename', 'fillRule', 'fillRule', 'flag', 'flag', 'font', 'font', 'gravity', 'gravity', 'height', 'height', 'hight', 'hight', 'image', 'image', 'largeArcFlag', 'largeArcFlag', 'linecap', 'linecap', 'linejoin', 'linejoin', 'lowerRightX', 'lowerRightX', 'lowerRightY', 'lowerRightY', 'magick', 'magick', 'miterlimit', 'miterlimit', 'offset', 'offset', 'opacity', 'opacity', 'operator !=', 'operator !=', 'operator !=', 'operator !=', 'operator !=', 'operator !=', 'operator ()', 'operator ()', 'operator ()', 'operator ()', 'operator ()', 'operator ()', 'operator <', 'operator <', 'operator <', 'operator <', 'operator <', 'operator <', 'operator <=', 'operator <=', 'operator <=', 'operator <=', 'operator <=', 'operator <=', 'operator =', 'operator =', 'operator =', 'operator =', 'operator ==', 'operator ==', 'operator ==', 'operator ==', 'operator ==', 'operator ==', 'operator >', 'operator >', 'operator >', 'operator >', 'operator >', 'operator >', 'operator >=', 'operator >=', 'operator >=', 'operator >=', 'operator >=', 'operator >=', 'originX', 'originX', 'originY', 'originY', 'paintMethod', 'paintMethod', 'perimX', 'perimX', 'perimY', 'perimY', 'pointSize', 'pointSize', 'radiusX', 'radiusX', 'radiusY', 'radiusY', 'rx', 'rx', 'ry', 'ry', 'startDegrees', 'startDegrees', 'startX', 'startX', 'startY', 'startY', 'sweepFlag', 'sweepFlag', 'sx', 'sx', 'sy', 'sy', 'text', 'text', 'tx', 'tx', 'ty', 'ty', 'upperLeftX', 'upperLeftX', 'upperLeftY', 'upperLeftY', 'width', 'width', 'x', 'x', 'x', 'x', 'x', 'x', 'x1', 'x1', 'x1', 'x1', 'x1', 'x2', 'x2', 'x2', 'x2', 'xAxisRotation', 'xAxisRotation', 'y', 'y', 'y', 'y', 'y', 'y', 'y1', 'y1', 'y1', 'y1', 'y1', 'y1', 'y2', 'y2', 'y2', 'y2', '~Coordinate', '~Drawable', '~DrawableAffine', '~DrawableArc', '~DrawableBase', '~DrawableBezier', '~DrawableCircle', '~DrawableClipPath', '~DrawableColor', '~DrawableCompositeImage', '~DrawableDashArray', '~DrawableDashOffset', '~DrawableEllipse', '~DrawableFillColor', '~DrawableFillOpacity', '~DrawableFillRule', '~DrawableFont', '~DrawableGravity', '~DrawableLine', '~DrawableMatte', '~DrawableMiterLimit', '~DrawablePath', '~DrawablePoint', '~DrawablePointSize', '~DrawablePolygon', '~DrawablePolyline', '~DrawablePopClipPath', '~DrawablePopGraphicContext', '~DrawablePopPattern', '~DrawablePushClipPath', '~DrawablePushGraphicContext', '~DrawablePushPattern', '~DrawableRectangle', '~DrawableRotation', '~DrawableRoundRectangle', '~DrawableScaling', '~DrawableSkewX', '~DrawableSkewY', '~DrawableStrokeAntialias', '~DrawableStrokeColor', '~DrawableStrokeLineCap', '~DrawableStrokeLineJoin', '~DrawableStrokeOpacity', '~DrawableStrokeWidth', '~DrawableText', '~DrawableTextAntialias', '~DrawableTextDecoration', '~DrawableTextUnderColor', '~DrawableTranslation', '~DrawableViewbox', '~PathArcAbs', '~PathArcArgs', '~PathArcRel', '~PathClosePath', '~PathCurvetoAbs', '~PathCurvetoArgs', '~PathCurvetoRel', '~PathLinetoAbs', '~PathLinetoHorizontalAbs', '~PathLinetoHorizontalRel', '~PathLinetoRel', '~PathLinetoVerticalAbs', '~PathLinetoVerticalRel', '~PathMovetoAbs', '~PathMovetoRel', '~PathQuadraticCurvetoAbs', '~PathQuadraticCurvetoArgs', '~PathQuadraticCurvetoRel', '~PathSmoothCurvetoAbs', '~PathSmoothCurvetoRel', '~PathSmoothQuadraticCurvetoAbs', '~PathSmoothQuadraticCurvetoRel', '~VPath', '~VPathBase'], []),
}
| 104.302083 | 6,495 | 0.643513 | 1,485 | 20,026 | 8.550842 | 0.249832 | 0.113404 | 0.166325 | 0.216727 | 0.815325 | 0.809655 | 0.799102 | 0.787132 | 0.781304 | 0.781304 | 0 | 0.003288 | 0.179966 | 20,026 | 191 | 6,496 | 104.848168 | 0.769943 | 0.065415 | 0 | 0.43949 | 0 | 0 | 0.633908 | 0.171678 | 0 | 0 | 0 | 0 | 0.006369 | 1 | 0.012739 | false | 0 | 0.025478 | 0 | 0.050955 | 0.044586 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
95a3f6fb6a65d55bd6102647307c7d193c8cb29d | 1,866 | py | Python | tests/test_1970.py | sungho-joo/leetcode2github | ce7730ef40f6051df23681dd3c0e1e657abba620 | [
"MIT"
] | null | null | null | tests/test_1970.py | sungho-joo/leetcode2github | ce7730ef40f6051df23681dd3c0e1e657abba620 | [
"MIT"
] | null | null | null | tests/test_1970.py | sungho-joo/leetcode2github | ce7730ef40f6051df23681dd3c0e1e657abba620 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import pytest
"""
Test 1970. Last Day Where You Can Still Cross
"""
@pytest.fixture(scope="session")
def init_variables_1970():
from src.leetcode_1970_last_day_where_you_can_still_cross import Solution
solution = Solution()
def _init_variables_1970():
return solution
yield _init_variables_1970
class TestClass1970:
def test_solution_0(self, init_variables_1970):
assert init_variables_1970().latestDayToCross(2, 2, [[1, 1], [2, 1], [1, 2], [2, 2]]) == 2
def test_solution_1(self, init_variables_1970):
assert init_variables_1970().latestDayToCross(2, 2, [[1, 1], [1, 2], [2, 1], [2, 2]]) == 1
def test_solution_2(self, init_variables_1970):
assert (
init_variables_1970().latestDayToCross(
3, 3, [[1, 2], [2, 1], [3, 3], [2, 2], [1, 1], [1, 3], [2, 3], [3, 2], [3, 1]]
)
== 3
)
#!/usr/bin/env python
import pytest
"""
Test 1970. Last Day Where You Can Still Cross
"""
@pytest.fixture(scope="session")
def init_variables_1970():
from src.leetcode_1970_last_day_where_you_can_still_cross import Solution
solution = Solution()
def _init_variables_1970():
return solution
yield _init_variables_1970
class TestClass1970:
def test_solution_0(self, init_variables_1970):
assert init_variables_1970().latestDayToCross(2, 2, [[1, 1], [2, 1], [1, 2], [2, 2]]) == 2
def test_solution_1(self, init_variables_1970):
assert init_variables_1970().latestDayToCross(2, 2, [[1, 1], [1, 2], [2, 1], [2, 2]]) == 1
def test_solution_2(self, init_variables_1970):
assert (
init_variables_1970().latestDayToCross(
3, 3, [[1, 2], [2, 1], [3, 3], [2, 2], [1, 1], [1, 3], [2, 3], [3, 2], [3, 1]]
)
== 3
)
| 25.561644 | 98 | 0.604502 | 264 | 1,866 | 4.015152 | 0.136364 | 0.220755 | 0.288679 | 0.118868 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0.133144 | 0.243301 | 1,866 | 72 | 99 | 25.916667 | 0.617564 | 0.021436 | 0 | 0.9 | 0 | 0 | 0.008149 | 0 | 0 | 0 | 0 | 0 | 0.15 | 1 | 0.25 | false | 0 | 0.1 | 0.05 | 0.45 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
2538bafa0c63b804e656e1267315252b83affa3f | 87 | py | Python | c2p2/tests/__init__.py | nanvel/mdpages | 3bcee2cd14d74ce4668b9009a39a924e73ceae4b | [
"MIT"
] | null | null | null | c2p2/tests/__init__.py | nanvel/mdpages | 3bcee2cd14d74ce4668b9009a39a924e73ceae4b | [
"MIT"
] | null | null | null | c2p2/tests/__init__.py | nanvel/mdpages | 3bcee2cd14d74ce4668b9009a39a924e73ceae4b | [
"MIT"
] | null | null | null | from .test_extensions import *
from .test_handlers import *
from .test_models import *
| 21.75 | 30 | 0.793103 | 12 | 87 | 5.5 | 0.5 | 0.363636 | 0.424242 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137931 | 87 | 3 | 31 | 29 | 0.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
c2ccf3b332b57bcd7eb706b5f4d00124615af7e3 | 1,196 | py | Python | jangl_webleads_inbound/verticals/solar.py | jangl-platform/jangl-webleads-inbound | 7ba7734c0614c946f52af23829b7c61ba4fa9460 | [
"MIT"
] | 1 | 2021-01-14T21:55:27.000Z | 2021-01-14T21:55:27.000Z | jangl_webleads_inbound/verticals/solar.py | jangl-platform/jangl-webleads-inbound | 7ba7734c0614c946f52af23829b7c61ba4fa9460 | [
"MIT"
] | 1 | 2021-06-10T21:22:36.000Z | 2021-06-10T21:22:36.000Z | jangl_webleads_inbound/verticals/solar.py | jangl-platform/jangl-webleads-inbound | 7ba7734c0614c946f52af23829b7c61ba4fa9460 | [
"MIT"
] | null | null | null | from rest_framework import serializers
allow_blank = {'default': '', 'initial': '', 'allow_blank': True}
class PingDataSerializer(serializers.Serializer):
best_call_time = serializers.CharField(**allow_blank)
purchase_time_frame = serializers.CharField(**allow_blank)
own_property = serializers.BooleanField(default=False)
monthly_electric_bill = serializers.IntegerField()
utility_provider = serializers.CharField(**allow_blank)
roof_shade = serializers.CharField(**allow_blank)
property_type = serializers.CharField(max_length=30, **allow_blank)
credit_rating = serializers.CharField(max_length=50, **allow_blank)
class PostDataSerializer(serializers.Serializer):
best_call_time = serializers.CharField(**allow_blank)
purchase_time_frame = serializers.CharField(**allow_blank)
own_property = serializers.BooleanField(default=False)
monthly_electric_bill = serializers.IntegerField()
utility_provider = serializers.CharField(**allow_blank)
roof_shade = serializers.CharField(**allow_blank)
property_type = serializers.CharField(max_length=30, **allow_blank)
credit_rating = serializers.CharField(max_length=50, **allow_blank)
| 46 | 71 | 0.781773 | 130 | 1,196 | 6.876923 | 0.3 | 0.1566 | 0.223714 | 0.268456 | 0.868009 | 0.868009 | 0.868009 | 0.868009 | 0.868009 | 0.868009 | 0 | 0.007554 | 0.114548 | 1,196 | 25 | 72 | 47.84 | 0.836638 | 0 | 0 | 0.8 | 0 | 0 | 0.020903 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.05 | 0 | 0.95 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 10 |
6c3978c4e718f1961b2a4f50b4032e88d1539808 | 182 | py | Python | budshome/views/__init__.py | BudsHome/budshome.org | beda2066a496004ee66ada52954b7f8575b26364 | [
"MIT"
] | 8 | 2019-01-21T10:32:39.000Z | 2021-07-19T12:06:12.000Z | budshome/views/__init__.py | BudsHome/budshome.org | beda2066a496004ee66ada52954b7f8575b26364 | [
"MIT"
] | 1 | 2020-10-01T05:01:23.000Z | 2020-10-01T05:01:23.000Z | budshome/views/__init__.py | BudsHome/budshome.org | beda2066a496004ee66ada52954b7f8575b26364 | [
"MIT"
] | 1 | 2017-08-16T06:00:45.000Z | 2017-08-16T06:00:45.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from budshome.views.sites import sites_bp
from budshome.views.user import user_bp
from budshome.views.admin import admin_bp
| 20.222222 | 42 | 0.725275 | 28 | 182 | 4.607143 | 0.535714 | 0.27907 | 0.395349 | 0.294574 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013158 | 0.164835 | 182 | 8 | 43 | 22.75 | 0.835526 | 0.236264 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
6c6ac3b9e0fc4e04f736c962a407a1b63664adec | 118 | py | Python | iotapy/storage/__init__.py | aliciawyy/iota-python | b8d421acf94ccd9e7374f799fbe496f6d23e3cf3 | [
"MIT"
] | 34 | 2017-10-24T15:04:02.000Z | 2021-09-05T17:46:43.000Z | iotapy/storage/__init__.py | aliciawyy/iota-python | b8d421acf94ccd9e7374f799fbe496f6d23e3cf3 | [
"MIT"
] | 8 | 2017-12-18T21:53:08.000Z | 2021-06-01T21:24:31.000Z | iotapy/storage/__init__.py | aliciawyy/iota-python | b8d421acf94ccd9e7374f799fbe496f6d23e3cf3 | [
"MIT"
] | 11 | 2017-12-18T22:02:29.000Z | 2020-11-10T17:58:22.000Z | # -*- coding: utf-8 -*-
import iotapy.storage.tangle
import iotapy.storage.converter
import iotapy.storage.providers
| 19.666667 | 31 | 0.771186 | 15 | 118 | 6.066667 | 0.6 | 0.395604 | 0.626374 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009434 | 0.101695 | 118 | 5 | 32 | 23.6 | 0.849057 | 0.177966 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
6c89269055a9e8f095c1d4c26d86c30db111bb90 | 7,791 | py | Python | interface/commands.py | HeronMkII/ground-station | 4be34e2d72dbd96c7a3dfb339b6da4aad74e0ea4 | [
"MIT"
] | 1 | 2021-09-28T23:47:37.000Z | 2021-09-28T23:47:37.000Z | interface/commands.py | HeronMkII/ground-station | 4be34e2d72dbd96c7a3dfb339b6da4aad74e0ea4 | [
"MIT"
] | 4 | 2019-04-01T05:35:57.000Z | 2019-08-26T19:02:17.000Z | interface/commands.py | HeronMkII/ground-station | 4be34e2d72dbd96c7a3dfb339b6da4aad74e0ea4 | [
"MIT"
] | 2 | 2019-06-14T22:52:31.000Z | 2021-09-28T23:57:40.000Z | commands = {
"00" : {
"name" : "Ping OBC",
"args" : 0,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
"01" : {
"name" : "Get RTC Date/Time",
"args" : 0,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 6
},
"02" : {
"name" : "Set RTC Date/Time",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
"03" : {
"name" : "Read OBC EEPROM",
"args" : 1,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 4
},
"04" : {
"name" : "Erase OBC EEPROM",
"args" : 1,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
"05" : {
"name" : "Read OBC RAM Byte",
"args" : 1,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 1
},
"06" : {
"name" : "Set Indefinite Beacon Enable",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
"10" : {
"name" : "Read Data Block",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 4
},
"11" : {
"name" : "Read Primary Command Blocks",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 4
},
"12" : {
"name" : "Read Secondary Command Blocks",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 4
},
"13" : {
"name" : "Read Most Recent Status Info",
"args" : 0,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 33
},
"14" : {
"name" : "Read Recent Local Data Block",
"args" : 1,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 4
},
"15" : {
"name" : "Read Raw Memory Bytes",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 4
},
"20" : {
"name" : "Collect Data Block",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 4
},
"21" : {
"name" : "Get Automatic Data Collection Settings",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 40
},
"22" : {
"name" : "Set Automatic Data Collection Enable",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
"23" : {
"name" : "Set Automatic Data Collection Period",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
"24" : {
"name" : "Resync Automatic Data Collection Timers",
"args" : 0,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
"30" : {
"name" : "Get Current Block Numbers",
"args" : 0,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 24
},
"31" : {
"name" : "Set Current Block Number",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
"32" : {
"name" : "Get Memory Selection Adresses",
"args" : 0,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 48
},
"33" : {
"name" : "Set Memory Section Start Address",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
"34" : {
"name" : "Set Memory Section End Address",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
"35" : {
"name" : "Erase Memory Physical Sector",
"args" : 1,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
"36" : {
"name" : "Erase Memory Physical Block",
"args" : 1,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
"37" : {
"name" : "Erase All Memory",
"args" : 0,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
"40" : {
"name" : "Send EPS CAN Message",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 8
},
"41" : {
"name" : "Send PAY CAN Message",
"args" : 2,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : 8
},
"42" : {
"name" : "Reset Subsystem",
"args" : 1,
"arg1_type" : None,
"arg2_type" : None,
"arg1_valid" : None,
"arg2_valid" : None,
"resp_size" : None
},
}
| 24.271028 | 66 | 0.36478 | 667 | 7,791 | 4.043478 | 0.151424 | 0.172043 | 0.129032 | 0.172043 | 0.767519 | 0.745273 | 0.745273 | 0.745273 | 0.745273 | 0.745273 | 0 | 0.057483 | 0.5043 | 7,791 | 320 | 67 | 24.346875 | 0.64086 | 0 | 0 | 0.638783 | 0 | 0 | 0.314859 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6674ebbeb9a94f50d20d9aaa418c7cb055a17051 | 86 | py | Python | trajectron/evaluation/__init__.py | mzahran001/Trajectron-plus-plus | 6cad26fbc4a6ee99d7b72696f7ce4b4ae820dd8d | [
"MIT"
] | 361 | 2020-01-24T15:52:18.000Z | 2022-03-31T08:08:25.000Z | trajectron/evaluation/__init__.py | Vision-CAIR/UnlikelihoodMotionForecasting | 556d6a3ed3e4e0e2d88108d7dbb48933313b58aa | [
"MIT"
] | 58 | 2020-02-10T09:25:30.000Z | 2022-03-22T09:08:52.000Z | trajectron/evaluation/__init__.py | Vision-CAIR/UnlikelihoodMotionForecasting | 556d6a3ed3e4e0e2d88108d7dbb48933313b58aa | [
"MIT"
] | 118 | 2020-01-14T01:24:25.000Z | 2022-03-30T19:48:45.000Z | from .evaluation import compute_batch_statistics, log_batch_errors, print_batch_errors | 86 | 86 | 0.906977 | 12 | 86 | 6 | 0.75 | 0.305556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05814 | 86 | 1 | 86 | 86 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 7 |
667d952d86e68aae3a7273be24c07ebf848da897 | 216 | py | Python | tent.py | nxtlo/Tent | 8e99d7551a9f8349e5fe7bbaf895f359ee558a0a | [
"MIT"
] | 3 | 2020-09-28T10:51:18.000Z | 2021-03-01T17:57:00.000Z | tent.py | nxtlo/Tent | 8e99d7551a9f8349e5fe7bbaf895f359ee558a0a | [
"MIT"
] | 2 | 2021-02-19T20:48:27.000Z | 2021-03-10T16:16:24.000Z | tent.py | nxtlo/Tent | 8e99d7551a9f8349e5fe7bbaf895f359ee558a0a | [
"MIT"
] | 11 | 2020-09-19T18:30:54.000Z | 2021-05-03T02:43:48.000Z | print("""
_____________________
/ / \\ z
/ / \\ z
/ / \\ z
/ / \\ z
___________________/---------\\
""")
| 21.6 | 36 | 0.226852 | 5 | 216 | 1.8 | 0.4 | 0.666667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.606481 | 216 | 9 | 37 | 24 | 0.105882 | 0 | 0 | 0.5 | 0 | 0 | 0.935185 | 0.240741 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0.125 | 1 | 0 | 1 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
66c4b58ef639af2ae567bae06e98f6c804f78a9d | 169 | py | Python | main/admin.py | salsaachinanti/berlapan-core | f3e21c79796d85742b8d9dd80bec4e81e26a9557 | [
"Unlicense"
] | null | null | null | main/admin.py | salsaachinanti/berlapan-core | f3e21c79796d85742b8d9dd80bec4e81e26a9557 | [
"Unlicense"
] | null | null | null | main/admin.py | salsaachinanti/berlapan-core | f3e21c79796d85742b8d9dd80bec4e81e26a9557 | [
"Unlicense"
] | null | null | null | from django.contrib import admin
# Register your models here.
from.models import DonorForm, NamaLayanan
admin.site.register(NamaLayanan)
admin.site.register(DonorForm)
| 24.142857 | 41 | 0.828402 | 22 | 169 | 6.363636 | 0.545455 | 0.228571 | 0.285714 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.094675 | 169 | 6 | 42 | 28.166667 | 0.915033 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 7 |
dd2ce9d606ade08aa62172c75928650a1b3c1e44 | 8,280 | py | Python | mysite/oxigeno/migrations/0001_initial.py | LeonardoMorales-coder/oxigeno.cc | d028029928035887c11dc4c1da0f5bd7a64a8483 | [
"MIT"
] | 5 | 2021-02-15T06:22:02.000Z | 2021-04-01T21:35:37.000Z | mysite/oxigeno/migrations/0001_initial.py | LeonardoMorales-coder/oxigeno.cc | d028029928035887c11dc4c1da0f5bd7a64a8483 | [
"MIT"
] | 1 | 2021-03-06T19:16:06.000Z | 2021-03-06T19:16:06.000Z | mysite/oxigeno/migrations/0001_initial.py | LeonardoMorales-coder/oxigeno.cc | d028029928035887c11dc4c1da0f5bd7a64a8483 | [
"MIT"
] | 2 | 2021-02-12T01:33:34.000Z | 2021-03-06T23:14:43.000Z | # Generated by Django 3.1.5 on 2021-02-04 07:03
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django_google_maps.fields
import simple_history.models
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='Distribuidor',
fields=[
('id', models.AutoField(primary_key=True, serialize=False)),
('nombre_distribuidor', models.CharField(max_length=100)),
('horario', models.CharField(max_length=100)),
('estado', models.CharField(max_length=50)),
('direccion', models.TextField()),
('ciudad', models.CharField(max_length=100)),
('a_domicilio', models.BooleanField()),
('pago_con_tarjeta', models.BooleanField()),
('notas', models.TextField(blank=True, null=True)),
('telefono', models.CharField(max_length=20)),
('whatsapp', models.CharField(blank=True, max_length=20, null=True)),
('link_pagina', models.CharField(blank=True, max_length=100, null=True)),
('address', django_google_maps.fields.AddressField(default='', max_length=200)),
('geolocation', django_google_maps.fields.GeoLocationField(default='', max_length=100)),
('fecha_creacion', models.DateTimeField(auto_now_add=True)),
('ultima_actualizacion', models.DateTimeField(auto_now=True)),
],
options={
'verbose_name_plural': 'distribuidores',
},
),
migrations.CreateModel(
name='Tanque',
fields=[
('id', models.AutoField(primary_key=True, serialize=False)),
('disponibilidad_renta', models.IntegerField()),
('disponibilidad_venta', models.IntegerField()),
('disponibilidad_recarga', models.IntegerField()),
('ultima_actualizacion', models.DateTimeField(auto_now=True)),
('fecha_creacion', models.DateTimeField(auto_now_add=True)),
('distribuidor', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='oxigeno.distribuidor')),
],
),
migrations.CreateModel(
name='HistoricalTanque',
fields=[
('id', models.IntegerField(blank=True, db_index=True)),
('disponibilidad_renta', models.IntegerField()),
('disponibilidad_venta', models.IntegerField()),
('disponibilidad_recarga', models.IntegerField()),
('ultima_actualizacion', models.DateTimeField(blank=True, editable=False)),
('fecha_creacion', models.DateTimeField(blank=True, editable=False)),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('distribuidor', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='oxigeno.distribuidor')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical tanque',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalDistribuidor',
fields=[
('id', models.IntegerField(blank=True, db_index=True)),
('nombre_distribuidor', models.CharField(max_length=100)),
('horario', models.CharField(max_length=100)),
('estado', models.CharField(max_length=50)),
('direccion', models.TextField()),
('ciudad', models.CharField(max_length=100)),
('a_domicilio', models.BooleanField()),
('pago_con_tarjeta', models.BooleanField()),
('notas', models.TextField(blank=True, null=True)),
('telefono', models.CharField(max_length=20)),
('whatsapp', models.CharField(blank=True, max_length=20, null=True)),
('link_pagina', models.CharField(blank=True, max_length=100, null=True)),
('address', django_google_maps.fields.AddressField(default='', max_length=200)),
('geolocation', django_google_maps.fields.GeoLocationField(default='', max_length=100)),
('fecha_creacion', models.DateTimeField(blank=True, editable=False)),
('ultima_actualizacion', models.DateTimeField(blank=True, editable=False)),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical distribuidor',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='HistoricalConcentrador',
fields=[
('id', models.IntegerField(blank=True, db_index=True)),
('disponibilidad_renta', models.IntegerField()),
('disponibilidad_venta', models.IntegerField()),
('ultima_actualizacion', models.DateTimeField(blank=True, editable=False)),
('fecha_creacion', models.DateTimeField(blank=True, editable=False)),
('history_id', models.AutoField(primary_key=True, serialize=False)),
('history_date', models.DateTimeField()),
('history_change_reason', models.CharField(max_length=100, null=True)),
('history_type', models.CharField(choices=[('+', 'Created'), ('~', 'Changed'), ('-', 'Deleted')], max_length=1)),
('distribuidor', models.ForeignKey(blank=True, db_constraint=False, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='+', to='oxigeno.distribuidor')),
('history_user', models.ForeignKey(null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='+', to=settings.AUTH_USER_MODEL)),
],
options={
'verbose_name': 'historical concentrador',
'ordering': ('-history_date', '-history_id'),
'get_latest_by': 'history_date',
},
bases=(simple_history.models.HistoricalChanges, models.Model),
),
migrations.CreateModel(
name='Concentrador',
fields=[
('id', models.AutoField(primary_key=True, serialize=False)),
('disponibilidad_renta', models.IntegerField()),
('disponibilidad_venta', models.IntegerField()),
('ultima_actualizacion', models.DateTimeField(auto_now=True)),
('fecha_creacion', models.DateTimeField(auto_now_add=True)),
('distribuidor', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='oxigeno.distribuidor')),
],
options={
'verbose_name_plural': 'concentradores',
},
),
] | 56.712329 | 189 | 0.591425 | 758 | 8,280 | 6.254617 | 0.164908 | 0.04556 | 0.049357 | 0.065809 | 0.881038 | 0.881038 | 0.881038 | 0.870702 | 0.859101 | 0.838642 | 0 | 0.012281 | 0.26244 | 8,280 | 146 | 190 | 56.712329 | 0.764041 | 0.005435 | 0 | 0.798561 | 1 | 0 | 0.182171 | 0.018339 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.035971 | 0 | 0.064748 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
dd32333e7dd9a5cb83b860d5a77910239d2e3cb9 | 12,427 | py | Python | tests/pycount_test.py | fkshom/pyifcount | 7933062fe52115753810fa3797d2813a0281cfd5 | [
"MIT"
] | null | null | null | tests/pycount_test.py | fkshom/pyifcount | 7933062fe52115753810fa3797d2813a0281cfd5 | [
"MIT"
] | null | null | null | tests/pycount_test.py | fkshom/pyifcount | 7933062fe52115753810fa3797d2813a0281cfd5 | [
"MIT"
] | null | null | null | import pytest
from assertpy import assert_that, fail
import pyifcount
import os
import yaml
import logging
logger = logging.getLogger(__name__)
def remove_if_exists(filepath):
try:
os.remove(filepath)
except:
pass
class Test機能テスト():
class TestAutoRefreshがFalseのとき():
@pytest.fixture(scope='function', autouse=True)
def mock_pyifcountCount_get_from_file(self, mocker):
count_get = mocker.patch.object(pyifcount.Count, "_get_from_file", return_value=100)
yield count_get
@pytest.fixture(scope='function', autouse=True)
def yaml_datastore(self, mocker):
try:
remove_if_exists("/tmp/pycount.yml")
datastore = pyifcount.YamlDataStore(filename="/tmp/pycount.yml")
self.pycnt = pyifcount.PyCount(datastore=datastore, autorefresh=False)
yield datastore
finally:
remove_if_exists("/tmp/pycount.yml")
def test_インスタンスに監視対象をregistできる(self):
self.pycnt.regist(
name="ens33.rx_bytes",
filename="path_to_ens33_rx_bytes"
)
self.pycnt.refresh()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(100)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(0)
def test_refreshしたら値が更新される(self, yaml_datastore, mock_pyifcountCount_get_from_file):
datastore = yaml_datastore
count_get = mock_pyifcountCount_get_from_file
self.pycnt.regist(
name="ens33.rx_bytes",
filename="path_to_ens33_rx_bytes"
)
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(None)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(0)
self.pycnt.refresh()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(100)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(0)
count_get.return_value = 200
self.pycnt.refresh()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(200)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(100)
def test_datastoreリセットしたら追従する(self, yaml_datastore, mock_pyifcountCount_get_from_file):
datastore = yaml_datastore
count_get = mock_pyifcountCount_get_from_file
self.pycnt.regist(
name="ens33.rx_bytes",
filename="path_to_ens33_rx_bytes"
)
self.pycnt.refresh()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(100)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(0)
count_get.return_value = 200
self.pycnt.refresh()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(200)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(100)
datastore.clear()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(200)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(0)
count_get.return_value = 200
self.pycnt.refresh()
def test_datastoreファイルを削除したらrefreshの時点で追従する(self, yaml_datastore, mock_pyifcountCount_get_from_file):
datastore = yaml_datastore
count_get = mock_pyifcountCount_get_from_file
self.pycnt.regist(
name="ens33.rx_bytes",
filename="path_to_ens33_rx_bytes",
)
self.pycnt.refresh()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(100)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(0)
count_get.return_value = 200
self.pycnt.refresh()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(200)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(100)
remove_if_exists("/tmp/pycount.yml")
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(200)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(100)
count_get.return_value = 250
self.pycnt.refresh()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(250)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(50)
class TestAutoRefreshがTrueのとき():
@pytest.fixture(scope='function', autouse=True)
def mock_pyifcountCount_get_from_file(self, mocker):
count_get = mocker.patch.object(pyifcount.Count, "_get_from_file", return_value=100)
yield count_get
@pytest.fixture(scope='function', autouse=True)
def yaml_datastore(self, mocker):
try:
remove_if_exists("/tmp/pycount.yml")
datastore = pyifcount.YamlDataStore(filename="/tmp/pycount.yml")
self.pycnt = pyifcount.PyCount(datastore=datastore, autorefresh=True)
yield datastore
finally:
remove_if_exists("/tmp/pycount.yml")
def test_インスタンスに監視対象をregistできる(self):
self.pycnt.regist(
name="ens33.rx_bytes",
filename="path_to_ens33_rx_bytes"
)
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(100)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(0)
def test_refreshしたら値が更新される(self, yaml_datastore, mock_pyifcountCount_get_from_file):
datastore = yaml_datastore
count_get = mock_pyifcountCount_get_from_file
self.pycnt.regist(
name="ens33.rx_bytes",
filename="path_to_ens33_rx_bytes"
)
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(100)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(0)
count_get.return_value = 200
self.pycnt.refresh()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(200)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(100)
def test_datastoreリセットしたら追従する(self, yaml_datastore, mock_pyifcountCount_get_from_file):
datastore = yaml_datastore
count_get = mock_pyifcountCount_get_from_file
self.pycnt.regist(
name="ens33.rx_bytes",
filename="path_to_ens33_rx_bytes"
)
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(100)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(0)
count_get.return_value = 200
self.pycnt.refresh()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(200)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(100)
datastore.clear()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(200)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(0)
count_get.return_value = 200
self.pycnt.refresh()
def test_datastoreファイルを削除したらrefreshの時点で追従する(self, yaml_datastore, mock_pyifcountCount_get_from_file):
datastore = yaml_datastore
count_get = mock_pyifcountCount_get_from_file
self.pycnt.regist(
name="ens33.rx_bytes",
filename="path_to_ens33_rx_bytes",
)
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(100)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(0)
count_get.return_value = 200
self.pycnt.refresh()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(200)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(100)
remove_if_exists("/tmp/pycount.yml")
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(200)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(0)
count_get.return_value = 250
self.pycnt.refresh()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(250)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(50)
class Testデータファイルが存在しない場合():
@pytest.fixture(scope='function', autouse=True)
def mock_pyifcountCount_get_from_file(self, mocker):
# rx_bytes等が存在しない可能性があるのでmock
count_get = mocker.patch.object(pyifcount.Count, "_get_from_file", return_value=100)
yield count_get
@pytest.fixture(scope='function', autouse=True)
def yaml_datastore(self, mocker):
try:
remove_if_exists("/tmp/pycount.yml")
datastore = pyifcount.YamlDataStore(filename="/tmp/pycount.yml")
self.pycnt = pyifcount.PyCount(
datastore=datastore
)
yield datastore
finally:
remove_if_exists("/tmp/pycount.yml")
def test_インスタンス作成時にデータファイルが作成される(self):
assert_that(os.path.exists("/tmp/pycount.yml")).is_true()
def _test_データファイル作成直後は値が0である(self):
self.pycnt.regist(
name="ens33.rx_bytes",
filename="path_to_ens33_rx_bytes"
)
assert_that(self.pycnt.ens33.rx_byte.sum).is_equal_to(0)
class Testデータファイルが存在する場合():
@pytest.fixture(scope='function', autouse=True)
def mock_pyifcountCount_get_from_file(self, mocker):
# rx_bytes等が存在しない可能性があるのでmock
count_get = mocker.patch.object(pyifcount.Count, "_get_from_file", return_value=100)
yield count_get
@pytest.fixture(scope='function', autouse=True)
def yaml_datastore(self, mocker):
try:
remove_if_exists("/tmp/pycount.yml")
# データファイル作成
data = {'ens33.rx_bytes': 50, 'ens33.tx_bytes': 50}
with open('/tmp/pycount.yml', 'w') as f:
yaml.dump(data, f)
datastore = pyifcount.YamlDataStore(filename="/tmp/pycount.yml")
self.pycnt = pyifcount.PyCount(
datastore=datastore
)
yield datastore
finally:
remove_if_exists("/tmp/pycount.yml")
def test_インスタンス作成時にデータファイルが読み込まれる(self):
self.pycnt.regist(
name="ens33.rx_bytes",
filename="path_to_ens33_rx_bytes"
)
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(100)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(50)
def test_registしていないメトリクスはデータファイルにあっても読み込めない(self):
self.pycnt.regist(
name="ens33.rx_bytes",
filename="path_to_ens33_rx_bytes"
)
try:
self.pycnt['ens33.tx_bytes']
fail('should have raised error')
except KeyError as e:
assert_that(str(e)).is_equal_to("'ens33.tx_bytes'")
def test_refreshしたらメモリ情報もデータファイルも更新される(self, yaml_datastore, mock_pyifcountCount_get_from_file):
datastore = yaml_datastore
count_get = mock_pyifcountCount_get_from_file
self.pycnt.regist(
name="ens33.rx_bytes",
filename="path_to_ens33_rx_bytes"
)
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(100)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(50)
count_get.return_value = 200
self.pycnt.refresh()
assert_that(self.pycnt['ens33.rx_bytes'].cur).is_equal_to(200)
assert_that(self.pycnt['ens33.rx_bytes'].sum).is_equal_to(150)
class Testメトリクスファイルが存在しない場合():
def test_addの時点では例外を発生させない(self):
datastore = pyifcount.MemoryDataStore()
pycnt = pyifcount.PyCount(
datastore=datastore
)
pycnt.regist(
name="invalid_interface.rx_bytes",
filename="path_to_invalid_interface_rx_bytes"
)
def test_メトリクス読み込み時点で例外を発生させる(self):
datastore = pyifcount.MemoryDataStore()
pycnt = pyifcount.PyCount(
datastore=datastore
)
pycnt.regist(
name="invalid_interface.rx_bytes",
filename="path_to_invalid_interface_rx_bytes"
)
try:
pycnt['invalid_interface.rx_bytes'].sum
fail('should have raised error')
except FileNotFoundError as e:
assert_that(str(e)).is_equal_to("[Errno 2] No such file or directory: 'path_to_invalid_interface_rx_bytes'")
| 42.704467 | 120 | 0.628873 | 1,507 | 12,427 | 4.869277 | 0.076311 | 0.099346 | 0.119379 | 0.126874 | 0.894931 | 0.893159 | 0.880758 | 0.880758 | 0.880758 | 0.873671 | 0 | 0.034803 | 0.262412 | 12,427 | 290 | 121 | 42.851724 | 0.765765 | 0.005231 | 0 | 0.780769 | 0 | 0 | 0.14614 | 0.03609 | 0 | 0 | 0 | 0 | 0.203846 | 1 | 0.092308 | false | 0.003846 | 0.023077 | 0 | 0.138462 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
dd44c638d31e64592b48e1da64c7bdbfcf16bc35 | 5,404 | py | Python | test/mlprogram/nn/action_sequence/test_loss.py | HiroakiMikami/mlprogram | 573e94c567064705fa65267dd83946bf183197de | [
"MIT"
] | 9 | 2020-05-24T11:25:01.000Z | 2022-03-28T15:32:10.000Z | test/mlprogram/nn/action_sequence/test_loss.py | HiroakiMikami/mlprogram | 573e94c567064705fa65267dd83946bf183197de | [
"MIT"
] | 87 | 2020-05-09T08:56:55.000Z | 2022-03-31T14:46:45.000Z | test/mlprogram/nn/action_sequence/test_loss.py | HiroakiMikami/NL2Prog | 573e94c567064705fa65267dd83946bf183197de | [
"MIT"
] | 3 | 2021-02-22T20:38:29.000Z | 2021-11-11T18:48:44.000Z | import numpy as np
import torch
from mlprogram.nn.action_sequence import EntropyLoss, Loss
from mlprogram.nn.utils import rnn
class TestLoss(object):
def test_parameters(self):
loss = Loss()
assert 0 == len(dict(loss.named_parameters()))
def test_shape(self):
gt0 = torch.LongTensor([[0, -1, -1], [-1, 2, -1], [-1, -1, 3]])
gt = rnn.pad_sequence([gt0], padding_value=-1)
rule_prob0 = torch.FloatTensor([[0.8, 0.2], [0.5, 0.5], [0.5, 0.5]])
rule_prob = rnn.pad_sequence([rule_prob0])
token_prob0 = torch.FloatTensor(
[[0.1, 0.4, 0.5], [0.1, 0.2, 0.8], [0.5, 0.4, 0.1]])
token_prob = rnn.pad_sequence([token_prob0])
reference_prob0 = torch.FloatTensor(
[[0.1, 0.4, 0.5, 0.0], [0.0, 0.5, 0.4, 0.1], [0.0, 0.0, 0.0, 1.0]])
reference_prob = rnn.pad_sequence([reference_prob0])
loss = Loss()
objective = loss(
rule_probs=rule_prob,
token_probs=token_prob,
reference_probs=reference_prob,
ground_truth_actions=gt
)
assert () == objective.shape
def test_reduction(self):
gt0 = torch.LongTensor([[0, -1, -1], [-1, 2, -1], [-1, -1, 3]])
gt = rnn.pad_sequence([gt0], padding_value=-1)
rule_prob0 = torch.FloatTensor([[0.8, 0.2], [0.5, 0.5], [0.5, 0.5]])
rule_prob = rnn.pad_sequence([rule_prob0])
token_prob0 = torch.FloatTensor(
[[0.1, 0.4, 0.5], [0.1, 0.2, 0.8], [0.5, 0.4, 0.1]])
token_prob = rnn.pad_sequence([token_prob0])
reference_prob0 = torch.FloatTensor(
[[0.1, 0.4, 0.5, 0.0], [0.0, 0.5, 0.4, 0.1], [0.0, 0.0, 0.0, 1.0]])
reference_prob = rnn.pad_sequence([reference_prob0])
loss0 = Loss()
loss1 = Loss(reduction="sum")
loss2 = Loss(reduction="none")
objective0 = loss0(
rule_probs=rule_prob,
token_probs=token_prob,
reference_probs=reference_prob,
ground_truth_actions=gt
)
objective1 = loss1(
rule_probs=rule_prob,
token_probs=token_prob,
reference_probs=reference_prob,
ground_truth_actions=gt
)
objective2 = loss2(
rule_probs=rule_prob,
token_probs=token_prob,
reference_probs=reference_prob,
ground_truth_actions=gt
)
assert (1,) == objective2.shape
assert np.allclose(objective0.item(), objective1.item())
class TestEntropyLoss(object):
def test_parameters(self):
loss = EntropyLoss()
assert 0 == len(dict(loss.named_parameters()))
def test_shape(self):
rule_prob0 = torch.FloatTensor([[0.8, 0.2], [0.5, 0.5], [0.5, 0.5]])
rule_prob = rnn.pad_sequence([rule_prob0])
token_prob0 = torch.FloatTensor(
[[0.1, 0.4, 0.5], [0.1, 0.2, 0.8], [0.5, 0.4, 0.1]])
token_prob = rnn.pad_sequence([token_prob0])
reference_prob0 = torch.FloatTensor(
[[0.1, 0.4, 0.5, 0.0], [0.0, 0.5, 0.4, 0.1], [0.0, 0.0, 0.0, 1.0]])
reference_prob = rnn.pad_sequence([reference_prob0])
loss = EntropyLoss()
objective = loss(
rule_probs=rule_prob,
token_probs=token_prob,
reference_probs=reference_prob,
)
assert () == objective.shape
def test_reduction(self):
rule_prob0 = torch.FloatTensor([[0.8, 0.2], [0.5, 0.5], [0.5, 0.5]])
rule_prob = rnn.pad_sequence([rule_prob0])
token_prob0 = torch.FloatTensor(
[[0.1, 0.4, 0.5], [0.1, 0.2, 0.8], [0.5, 0.4, 0.1]])
token_prob = rnn.pad_sequence([token_prob0])
reference_prob0 = torch.FloatTensor(
[[0.1, 0.4, 0.5, 0.0], [0.0, 0.5, 0.4, 0.1], [0.0, 0.0, 0.0, 1.0]])
reference_prob = rnn.pad_sequence([reference_prob0])
loss0 = EntropyLoss()
loss1 = EntropyLoss(reduction="sum")
loss2 = EntropyLoss(reduction="none")
objective0 = loss0(
rule_probs=rule_prob,
token_probs=token_prob,
reference_probs=reference_prob,
)
objective1 = loss1(
rule_probs=rule_prob,
token_probs=token_prob,
reference_probs=reference_prob,
)
objective2 = loss2(
rule_probs=rule_prob,
token_probs=token_prob,
reference_probs=reference_prob,
)
assert (1,) == objective2.shape
assert np.allclose(objective0.item(), objective1.item())
def test_value(self):
rule_prob0 = torch.FloatTensor([[0.5, 0.5]])
rule_prob1 = torch.FloatTensor([[1.0, 0.0]])
rule_prob = rnn.pad_sequence([rule_prob0, rule_prob1])
token_prob0 = torch.FloatTensor([[0.0, 0.0]])
token_prob1 = torch.FloatTensor([[0.0, 0.0]])
token_prob = rnn.pad_sequence([token_prob0, token_prob1])
reference_prob0 = torch.FloatTensor([[0.0, 0.0]])
reference_prob1 = torch.FloatTensor([[0.0, 0.0]])
reference_prob = rnn.pad_sequence([reference_prob0, reference_prob1])
loss = EntropyLoss(reduction="none")
objective = loss(
rule_probs=rule_prob,
token_probs=token_prob,
reference_probs=reference_prob,
)
assert objective[0].item() > objective[1].item()
| 37.79021 | 79 | 0.568283 | 740 | 5,404 | 3.958108 | 0.085135 | 0.034141 | 0.037897 | 0.032776 | 0.872311 | 0.865142 | 0.833732 | 0.755889 | 0.74155 | 0.74155 | 0 | 0.084964 | 0.281273 | 5,404 | 142 | 80 | 38.056338 | 0.669156 | 0 | 0 | 0.740157 | 0 | 0 | 0.003331 | 0 | 0 | 0 | 0 | 0 | 0.070866 | 1 | 0.055118 | false | 0 | 0.031496 | 0 | 0.102362 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
dd5d76c6d9f2368756bead028dcfbb57cd50d6f1 | 109,512 | py | Python | src/gaussianwake/FLORISgaussianwake.py | Kenneth-T-Moore/gaussian-wake | 49fbd695519615f0a3d12caf1e3658e02029fb1d | [
"Apache-2.0"
] | 3 | 2017-10-21T15:32:17.000Z | 2021-11-23T04:44:11.000Z | src/gaussianwake/FLORISgaussianwake.py | Kenneth-T-Moore/gaussian-wake | 49fbd695519615f0a3d12caf1e3658e02029fb1d | [
"Apache-2.0"
] | 3 | 2017-08-01T20:04:06.000Z | 2019-06-24T18:21:38.000Z | src/gaussianwake/FLORISgaussianwake.py | Kenneth-T-Moore/gaussian-wake | 49fbd695519615f0a3d12caf1e3658e02029fb1d | [
"Apache-2.0"
] | 3 | 2019-07-01T19:03:06.000Z | 2020-02-23T10:40:17.000Z | import numpy as np
import scipy as sp
from scipy.io import loadmat
import pylab as plt
import time
def FLORIS_Stat(wind_speed, wind_direction, air_density, rotorDiameter, yaw, Cp, axial_induction, turbineX, turbineY,
ws_positions=np.array([])):
"""Evaluates the FLORIS model and gives the FLORIS-predicted powers of the turbines at locations turbineX, turbineY,
and, optionally, the FLORIS-predicted velocities at locations (velX,velY)"""
pP = 1.88
ke = 0.065
keCorrDA = 0.0
kd = 0.15
me = np.array([-0.5,0.22,1.0])
MU = np.array([0.5,1.0,5.5])
ad = -4.5
bd = -0.01
aU = 5.0
bU = 1.66
# rename inputs and outputs
Vinf = wind_speed # from standard FUSED-WIND GenericWindFarm component
windDirection = wind_direction*np.pi/180. # from standard FUSED-WIND GenericWindFarm component
rho = air_density
rotorArea = (np.pi*rotorDiameter**2.)/4. # from standard FUSED-WIND GenericWindFarm component
axialInd = axial_induction
yaw = yaw*np.pi/180.
# turbineX = positions[:, 0]
# turbineY = positions[:, 1]
if ws_positions.any():
velX = ws_positions[:, 0]
velY = ws_positions[:, 1]
else:
velX = np.zeros([0,0])
velY = np.zeros([0,0])
# find size of arrays
nTurbines = turbineX.size
nLocations = velX.size
# convert to downwind-crosswind coordinates
rotationMatrix = np.array([(np.cos(-windDirection), -np.sin(-windDirection)),
(np.sin(-windDirection), np.cos(-windDirection))])
turbineLocations = np.dot(rotationMatrix,np.array([turbineX,turbineY]))
turbineX = turbineLocations[0]
turbineY = turbineLocations[1]
if velX.size>0:
locations = np.dot(rotationMatrix,np.array([velX,velY]))
velX = locations[0]
velY = locations[1]
# calculate y-location of wake centers
wakeCentersY = np.zeros((nLocations,nTurbines))
wakeCentersYT = np.zeros((nTurbines,nTurbines))
for turb in range(0,nTurbines):
wakeAngleInit = 0.5*np.power(np.cos(yaw[turb]),2)*np.sin(yaw[turb])*4*axialInd[turb]*(1-axialInd[turb])
for loc in range(0,nLocations): # at velX-locations
deltax = np.maximum(velX[loc]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersY[loc,turb] = turbineY[turb]
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,2))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
for turbI in range(0,nTurbines): # at turbineX-locations
deltax = np.maximum(turbineX[turbI]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersYT[turbI,turb] = turbineY[turb]
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,4))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
# calculate wake zone diameters at velX-locations
wakeDiameters = np.zeros((nLocations,nTurbines,3))
wakeDiametersT = np.zeros((nTurbines,nTurbines,3))
for turb in range(0,nTurbines):
for loc in range(0,nLocations): # at velX-locations
deltax = velX[loc]-turbineX[turb]
for zone in range(0,3):
wakeDiameters[loc,turb,zone] = rotorDiameter[turb]+2*ke*me[zone]*np.maximum(deltax,0)
for turbI in range(0,nTurbines): # at turbineX-locations
deltax = turbineX[turbI]-turbineX[turb]
for zone in range(0,3):
wakeDiametersT[turbI,turb,zone] = np.maximum(rotorDiameter[turb]+2*ke*me[zone]*deltax,0)
# calculate overlap areas at rotors
# wakeOverlapT(TURBI,TURB,ZONEI) = overlap area of zone ZONEI of wake
# of turbine TURB with rotor of turbine TURBI
wakeOverlapT = calcOverlapAreas(turbineX,turbineY,rotorDiameter,wakeDiametersT,wakeCentersYT)
# make overlap relative to rotor area (maximum value should be 1)
wakeOverlapTRel = wakeOverlapT
for turb in range(0,nTurbines):
wakeOverlapTRel[turb] = wakeOverlapTRel[turb]/rotorArea[turb]
# array effects with full or partial wake overlap:
# use overlap area of zone 1+2 of upstream turbines to correct ke
# Note: array effects only taken into account in calculating
# velocity deficits, in order not to over-complicate code
# (avoid loops in calculating overlaps)
keUncorrected = ke
ke = np.zeros(nTurbines)
for turb in range(0,nTurbines):
s = np.sum(wakeOverlapTRel[turb,:,0]+wakeOverlapTRel[turb,:,1])
ke[turb] = keUncorrected*(1+s*keCorrDA)
# calculate velocities in full flow field (optional)
ws_array = np.tile(Vinf,nLocations)
for turb in range(0,nTurbines):
mU = MU/np.cos(aU*np.pi/180+bU*yaw[turb])
for loc in range(0,nLocations):
deltax = velX[loc] - turbineX[turb]
radiusLoc = abs(velY[loc]-wakeCentersY[loc,turb])
axialIndAndNearRotor = 2*axialInd[turb]
if deltax > 0 and radiusLoc < wakeDiameters[loc,turb,0]/2.0: # check if in zone 1
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[0])*np.maximum(0,deltax))),2)
elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,1]/2.0: # check if in zone 2
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[1])*np.maximum(0,deltax))),2)
elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,2]/2.0: # check if in zone 3
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[2])*np.maximum(0,deltax))),2)
elif deltax <= 0 and radiusLoc < rotorDiameter[turb]/2.0: # check if axial induction zone in front of rotor
reductionFactor = axialIndAndNearRotor*(0.5+np.arctan(2.0*np.minimum(0,deltax)/(rotorDiameter[turb]))/np.pi)
else:
reductionFactor = 0
ws_array[loc] *= (1-reductionFactor)
# find effective wind speeds at downstream turbines, then predict power downstream turbine
velocitiesTurbines = np.tile(Vinf,nTurbines)
for turbI in range(0,nTurbines):
# find overlap-area weighted effect of each wake zone
wakeEffCoeff = 0
for turb in range(0,nTurbines):
wakeEffCoeffPerZone = 0
deltax = turbineX[turbI] - turbineX[turb]
deltay = turbineY[turbI] - wakeCentersYT[turbI, turb]
# if (turb != turbI):
# print 'y, yw: ', turbineY[turb], wakeCentersYT[turbI, turb]
if deltax > 0:
mU = MU / np.cos(aU*np.pi/180 + bU*yaw[turb])
for zone in range(0,3):
N = gaussian(turbineY[turbI], wakeCentersYT[turbI, turb], wakeDiametersT[turbI, turb, 2]/4.)
# print 'N = ', N
wakeEffCoeffPerZone = wakeEffCoeffPerZone + (np.power((rotorDiameter[turb])/(rotorDiameter[turb]+2*ke[turb]*mU[zone]*deltax) + N, 2.0) + 0.0*N) * wakeOverlapTRel[turbI,turb,zone]
wakeEffCoeff = wakeEffCoeff + np.power(axialInd[turb]*wakeEffCoeffPerZone, 2.0)
wakeEffCoeff = (1 - 2 * np.sqrt(wakeEffCoeff))
# multiply the inflow speed with the wake coefficients to find effective wind speed at turbine
velocitiesTurbines[turbI] *= wakeEffCoeff
# find turbine powers
# print yaw, pP
wt_power = np.power(velocitiesTurbines, 3.0) * (0.5*rho*rotorArea*Cp*np.power(np.cos(yaw), pP))
wt_power /= 1000 # in kW
power = np.sum(wt_power)
return velocitiesTurbines, wt_power, power, ws_array
def FLORIS(wind_speed, wind_direction, air_density, rotorDiameter, yaw, Cp, axial_induction, turbineX, turbineY,
xdict={'xvars': np.array([-0.493681, 0.196292, 0.587587, 0.442133, 1.110093, 5.537140])}, ws_positions=np.array([])):
"""Evaluates the FLORIS model and gives the FLORIS-predicted powers of the turbines at locations turbineX, turbineY,
and, optionally, the FLORIS-predicted velocities at locations (velX,velY)"""
pP = 1.88
ke = 0.065
keCorrDA = 0
kd = 0.15
# me = np.array([-0.5, 0.22,1.0])
# MU = np.array([0.5, 1.0, 5.5])
me = xdict['xvars'][0:3]
MU = xdict['xvars'][3:6]
ad = -4.5
bd = -0.01
aU = 5.0
bU = 1.66
# rename inputs and outputs
Vinf = wind_speed # from standard FUSED-WIND GenericWindFarm component
windDirection = wind_direction*np.pi/180 # from standard FUSED-WIND GenericWindFarm component
rho = air_density
rotorArea = np.pi*rotorDiameter**2/4. # from standard FUSED-WIND GenericWindFarm component
axialInd = axial_induction
#
# turbineX = positions[:, 0]
# turbineY = positions[:, 1]
yaw = yaw*np.pi/180.
if ws_positions.any():
velX = ws_positions[:, 0]
velY = ws_positions[:, 1]
else:
velX = np.zeros([0,0])
velY = np.zeros([0,0])
# find size of arrays
nTurbines = turbineX.size
nLocations = velX.size
# convert to downwind-crosswind coordinates
rotationMatrix = np.array([(np.cos(-windDirection), -np.sin(-windDirection)),
(np.sin(-windDirection), np.cos(-windDirection))])
turbineLocations = np.dot(rotationMatrix,np.array([turbineX,turbineY]))
turbineX = turbineLocations[0]
turbineY = turbineLocations[1]
if velX.size>0:
locations = np.dot(rotationMatrix,np.array([velX,velY]))
velX = locations[0]
velY = locations[1]
# calculate y-location of wake centers
wakeCentersY = np.zeros((nLocations,nTurbines))
wakeCentersYT = np.zeros((nTurbines,nTurbines))
for turb in range(0, nTurbines):
wakeAngleInit = 0.5*np.power(np.cos(yaw[turb]),2)*np.sin(yaw[turb])*4*axialInd[turb]*(1-axialInd[turb])
for loc in range(0,nLocations): # at velX-locations
deltax = np.maximum(velX[loc]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersY[loc,turb] = turbineY[turb]
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,2))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
for turbI in range(0,nTurbines): # at turbineX-locations
deltax = np.maximum(turbineX[turbI]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersYT[turbI,turb] = turbineY[turb]
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,4))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
# calculate wake zone diameters at velX-locations
wakeDiameters = np.zeros((nLocations,nTurbines,3))
wakeDiametersT = np.zeros((nTurbines,nTurbines,3))
for turb in range(0,nTurbines):
for loc in range(0,nLocations): # at velX-locations
deltax = velX[loc]-turbineX[turb]
for zone in range(0,3):
wakeDiameters[loc,turb,zone] = rotorDiameter[turb]+2*ke*me[zone]*np.maximum(deltax,0)
for turbI in range(0,nTurbines): # at turbineX-locations
deltax = turbineX[turbI]-turbineX[turb]
for zone in range(0,3):
wakeDiametersT[turbI,turb,zone] = np.maximum(rotorDiameter[turb]+2*ke*me[zone]*deltax,0)
# calculate overlap areas at rotors
# wakeOverlapT(TURBI,TURB,ZONEI) = overlap area of zone ZONEI of wake
# of turbine TURB with rotor of turbine TURBI
wakeOverlapT = calcOverlapAreas(turbineX,turbineY,rotorDiameter,wakeDiametersT,wakeCentersYT)
# make overlap relative to rotor area (maximum value should be 1)
wakeOverlapTRel = wakeOverlapT
for turb in range(0,nTurbines):
wakeOverlapTRel[turb] = wakeOverlapTRel[turb]/rotorArea[turb]
# array effects with full or partial wake overlap:
# use overlap area of zone 1+2 of upstream turbines to correct ke
# Note: array effects only taken into account in calculating
# velocity deficits, in order not to over-complicate code
# (avoid loops in calculating overlaps)
keUncorrected = ke
ke = np.zeros(nTurbines)
for turb in range(0,nTurbines):
s = np.sum(wakeOverlapTRel[turb,:,0]+wakeOverlapTRel[turb,:,1])
ke[turb] = keUncorrected*(1+s*keCorrDA)
# calculate velocities in full flow field (optional)
ws_array = np.tile(Vinf,nLocations)
for turb in range(0,nTurbines):
mU = MU/np.cos(aU*np.pi/180+bU*yaw[turb])
for loc in range(0,nLocations):
deltax = velX[loc] - turbineX[turb]
radiusLoc = abs(velY[loc]-wakeCentersY[loc,turb])
axialIndAndNearRotor = 2*axialInd[turb]
if deltax > 0 and radiusLoc < wakeDiameters[loc,turb,0]/2.0: # check if in zone 1
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[0])*np.maximum(0,deltax))),2)
elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,1]/2.0: # check if in zone 2
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[1])*np.maximum(0,deltax))),2)
elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,2]/2.0: # check if in zone 3
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[2])*np.maximum(0,deltax))),2)
elif deltax <= 0 and radiusLoc < rotorDiameter[turb]/2.0: # check if axial induction zone in front of rotor
reductionFactor = axialIndAndNearRotor*(0.5+np.arctan(2.0*np.minimum(0,deltax)/(rotorDiameter[turb]))/np.pi)
else:
reductionFactor = 0
ws_array[loc] *= (1-reductionFactor)
# find effective wind speeds at downstream turbines, then predict power downstream turbine
velocitiesTurbines = np.tile(Vinf,nTurbines)
for turbI in range(0,nTurbines):
# find overlap-area weighted effect of each wake zone
wakeEffCoeff = 0
for turb in range(0,nTurbines):
wakeEffCoeffPerZone = 0
deltax = turbineX[turbI] - turbineX[turb]
if deltax > 0:
mU = MU / np.cos(aU*np.pi/180 + bU*yaw[turb])
for zone in range(0,3):
wakeEffCoeffPerZone = wakeEffCoeffPerZone + np.power((rotorDiameter[turb])/(rotorDiameter[turb]+2*ke[turb]*mU[zone]*deltax),2.0) * wakeOverlapTRel[turbI,turb,zone]
# print "wake effective per zone Original", wakeEffCoeffPerZone
wakeEffCoeff = wakeEffCoeff + np.power(axialInd[turb]*wakeEffCoeffPerZone,2.0)
wakeEffCoeff = (1 - 2 * np.sqrt(wakeEffCoeff))
# print 'wakeEffCoeff original ', wakeEffCoeff
# multiply the inflow speed with the wake coefficients to find effective wind speed at turbine
velocitiesTurbines[turbI] *= wakeEffCoeff
# print 'velocitiesTurbines original ', velocitiesTurbines
# find turbine powers
wt_power = np.power(velocitiesTurbines, 3.0) * (0.5*rho*rotorArea*Cp*np.power(np.cos(yaw), pP))
wt_power /= 1000 # in kW
power = np.sum(wt_power)
return velocitiesTurbines, wt_power, power, ws_array
def FLORIS_LinearizedExactSector(wind_speed, wind_direction, air_density, rotorDiameter, yaw, Cp, axial_induction, turbineX, turbineY,
ws_positions=np.array([])):
"""Evaluates the FLORIS model and gives the FLORIS-predicted powers of the turbines at locations turbineX, turbineY,
and, optionally, the FLORIS-predicted velocities at locations (velX,velY)"""
pP = 1.88
ke = 0.065
keCorrDA = 0
kd = 0.15
me = np.array([-0.5, 0.22, 1.0, 1.1])
MU = np.array([0.4, 0.5, 1.0, 5.5, 5.6])*np.array([0.75, 5., 20., 20., 20.])
ad = -4.5
bd = -0.01
aU = 5.0
bU = 1.66
# rename inputs and outputs
Vinf = wind_speed # from standard FUSED-WIND GenericWindFarm component
windDirection = wind_direction*np.pi/180 # from standard FUSED-WIND GenericWindFarm component
rho = air_density
rotorArea = np.pi*rotorDiameter**2/4. # from standard FUSED-WIND GenericWindFarm component
axialInd = axial_induction
#
# turbineX = positions[:, 0]
# turbineY = positions[:, 1]
yaw = yaw*np.pi/180.
if ws_positions.any():
velX = ws_positions[:, 0]
velY = ws_positions[:, 1]
else:
velX = np.zeros([0,0])
velY = np.zeros([0,0])
# find size of arrays
nTurbines = turbineX.size
nLocations = velX.size
# convert to downwind-crosswind coordinates
rotationMatrix = np.array([(np.cos(-windDirection), -np.sin(-windDirection)),
(np.sin(-windDirection), np.cos(-windDirection))])
turbineLocations = np.dot(rotationMatrix,np.array([turbineX,turbineY]))
turbineX = turbineLocations[0]
turbineY = turbineLocations[1]
if velX.size>0:
locations = np.dot(rotationMatrix,np.array([velX,velY]))
velX = locations[0]
velY = locations[1]
# calculate y-location of wake centers
wakeCentersY = np.zeros((nLocations,nTurbines))
wakeCentersYT = np.zeros((nTurbines,nTurbines))
for turb in range(0,nTurbines):
wakeAngleInit = 0.5*np.power(np.cos(yaw[turb]),2)*np.sin(yaw[turb])*4*axialInd[turb]*(1-axialInd[turb])
for loc in range(0,nLocations): # at velX-locations
deltax = np.maximum(velX[loc]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersY[loc,turb] = turbineY[turb]
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,2))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
for turbI in range(0,nTurbines): # at turbineX-locations
deltax = np.maximum(turbineX[turbI]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersYT[turbI,turb] = turbineY[turb]
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,4))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
# calculate wake zone diameters at velX-locations
wakeDiameters = np.zeros((nLocations,nTurbines,3))
wakeDiametersT = np.zeros((nTurbines, nTurbines, 5))
for turb in range(0, nTurbines):
for loc in range(0,nLocations): # at velX-locations
deltax = velX[loc]-turbineX[turb]
for zone in range(0,3):
wakeDiameters[loc,turb,zone] = rotorDiameter[turb]+2*ke*me[zone]*np.maximum(deltax,0)
for turbI in range(0, nTurbines): # at turbineX-locations
deltax = turbineX[turbI]-turbineX[turb]
for zone in range(1, 4):
wakeDiametersT[turbI, turb, zone] = np.maximum(rotorDiameter[turb]+2*ke*me[zone]*deltax, 0)
wakeDiametersT[turbI, turb, 0] = 0.0
# calculate overlap areas at rotors
# wakeOverlapT(TURBI,TURB,ZONEI) = overlap area of zone ZONEI of wake
# of turbine TURB with rotor of turbine TURBI
#wakeOverlapT = calcOverlapAreas(turbineX, turbineY, rotorDiameter, wakeDiametersT[:, :, 1:4], wakeCentersYT)
# make overlap relative to rotor area (maximum value should be 1)
#wakeOverlapTRel = wakeOverlapT
#for turb in range(0,nTurbines):
# wakeOverlapTRel[turb] = wakeOverlapTRel[turb]/rotorArea[turb]
# array effects with full or partial wake overlap:
# use overlap area of zone 1+2 of upstream turbines to correct ke
# Note: array effects only taken into account in calculating
# velocity deficits, in order not to over-complicate code
# (avoid loops in calculating overlaps)
#keUncorrected = ke
#ke = np.zeros(nTurbines)
#for turb in range(0,nTurbines):
# s = np.sum(wakeOverlapTRel[turb,:,0]+wakeOverlapTRel[turb,:,1])
# ke[turb] = keUncorrected*(1+s*keCorrDA)
# calculate velocities in full flow field (optional)
# ws_array = np.tile(Vinf,nLocations)
# for turb in range(0,nTurbines):
# mU = MU/np.cos(aU*np.pi/180+bU*yaw[turb])
# for loc in range(0,nLocations):
# deltax = velX[loc] - turbineX[turb]
# radiusLoc = abs(velY[loc]-wakeCentersY[loc,turb])
# axialIndAndNearRotor = 2*axialInd[turb]
#
# if deltax > 0 and radiusLoc < wakeDiameters[loc,turb,0]/2.0: # check if in zone 1
# reductionFactor = axialIndAndNearRotor*\
# np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[0])*np.maximum(0, deltax))),2)
# elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,1]/2.0: # check if in zone 2
# reductionFactor = axialIndAndNearRotor*\
# np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[1])*np.maximum(0, deltax))),2)
# elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,2]/2.0: # check if in zone 3
# reductionFactor = axialIndAndNearRotor*\
# np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[2])*np.maximum(0, deltax))),2)
# elif deltax <= 0 and radiusLoc < rotorDiameter[turb]/2.0: # check if axial induction zone in front of rotor
# reductionFactor = axialIndAndNearRotor*(0.5+np.arctan(2.0*np.minimum(0, deltax)/(rotorDiameter[turb]))/np.pi)
# else:
# reductionFactor = 0
# ws_array[loc] *= (1-reductionFactor)
# find effective wind speeds at downstream turbines, then predict power downstream turbine
velocitiesTurbines = np.tile(Vinf,nTurbines)
for turbI in range(0,nTurbines):
# find overlap-area weighted effect of each wake zone
wakeEffCoeff = 0.0
for turb in range(0,nTurbines):
# if turbI != turb:
wakeEffCoeffPerZone = 0.0
deltax = turbineX[turbI] - turbineX[turb]
deltay = wakeCentersYT[turbI, turb] - turbineY[turbI]
# if abs(deltay) > rotorDiameter[turbI] + wakeDiametersT[turbI, turb, 4]:
# wak
if deltax > 0.0:
mU = MU / np.cos(aU*np.pi/180. + bU*yaw[turb])
C = (rotorDiameter[turb]/(rotorDiameter[turb]+2.*ke*mU*deltax))**2
if abs(deltay) - rotorDiameter[turbI]/2. <= 0.:
R1 = 0.0
else:
R1 = abs(deltay)-rotorDiameter[turbI]/2.
R2 = abs(deltay)+rotorDiameter[turbI]/2.
######## integral = sp.integrate.quad(LinearizedExactSector, R1, R2, args=(rotorDiameter[turbI]/2., deltay, C, wakeDiametersT[turbI, turb]), limit=7)
################
res = 100000
integral = np.zeros(res)###
count = 0
for r in np.linspace(R1, R2, res):
integral[count] = LinearizedExactSector(r, rotorDiameter[turbI]/2., deltay, C, wakeDiametersT[turbI, turb])
count += 1
integral = sp.integrate.trapz(integral, np.linspace(R1, R2, res), None)
#################
# integral = sp.integrate.quad(circleAreaForInt, 0, 126.4)
# print 'integral', turbI, turb, R1, R2, integral
# if (integral[0] > 12549) or (integral[0] < 12547):
# raise ValueError('incorrect integral value returned')
######## wakeEffCoeffPerZone = integral[0]/(np.pi*(rotorDiameter[turbI]**2)/4.)
###################
wakeEffCoeffPerZone = integral/(np.pi*(rotorDiameter[turbI]**2)/4.)
###################
wakeEffCoeff = wakeEffCoeff + np.power(axialInd[turb]*wakeEffCoeffPerZone, 2.0)
wakeEffCoeff = (1 - 2 * np.sqrt(wakeEffCoeff))
# print 'wakeEffCoeff LES', wakeEffCoeff
# multiply the inflow speed with the wake coefficients to find effective wind speed at turbine
velocitiesTurbines[turbI] *= wakeEffCoeff
# print 'velocitiesTurbines LES ', velocitiesTurbines
# find turbine powers
wt_power = np.power(velocitiesTurbines, 3.0) * (0.5*rho*rotorArea*Cp*np.power(np.cos(yaw), pP))
wt_power /= 1000 # in kW
# print wt_power
power = np.sum(wt_power)
return velocitiesTurbines, wt_power, power#, ws_array
def FLORIS_GaussianAveZones(wind_speed, wind_direction, air_density, rotorDiameter, yaw, Cp, axial_induction, turbineX, turbineY,
xdict={'xvars': np.array([-0.101831, 0.095223, 0.095255, 0.5, 0.510440, 5.500000])}, ws_positions=np.array([])):
"""Evaluates the FLORIS model and gives the FLORIS-predicted powers of the turbines at locations turbineX, turbineY,
and, optionally, the FLORIS-predicted velocities at locations (velX,velY)"""
#xdict={'xvars': np.array([-0.101831, 0.095223, 0.095255, 0.5, 0.510440, 5.500000])}
#xdict={'xvars': np.array([-1.134875, 0.128273, 0.128275, 0.5, 0.556273, 5.500000])}
pP = 1.88
ke = 0.065
keCorrDA = 0
kd = 0.15
# me = np.array([-0.5, 0.22, 1.0])*np.array([1., 1., 0.55])
# MU = np.array([0.5, 1.0, 5.5])*np.array([0., 0.55, 0.0])
me = xdict['xvars'][0:3]
MU = xdict['xvars'][3:6]
ad = -4.5
bd = -0.01
aU = 5.0
bU = 1.66
# rename inputs and outputs
Vinf = wind_speed # from standard FUSED-WIND GenericWindFarm component
windDirection = wind_direction*np.pi/180 # from standard FUSED-WIND GenericWindFarm component
rho = air_density
rotorArea = np.pi*rotorDiameter**2/4. # from standard FUSED-WIND GenericWindFarm component
axialInd = axial_induction
#
# turbineX = positions[:, 0]
# turbineY = positions[:, 1]
yaw = yaw*np.pi/180.
if ws_positions.any():
velX = ws_positions[:, 0]
velY = ws_positions[:, 1]
else:
velX = np.zeros([0,0])
velY = np.zeros([0,0])
# find size of arrays
nTurbines = turbineX.size
nLocations = velX.size
# convert to downwind-crosswind coordinates
rotationMatrix = np.array([(np.cos(-windDirection), -np.sin(-windDirection)),
(np.sin(-windDirection), np.cos(-windDirection))])
turbineLocations = np.dot(rotationMatrix,np.array([turbineX,turbineY]))
turbineX = turbineLocations[0]
turbineY = turbineLocations[1]
if velX.size>0:
locations = np.dot(rotationMatrix,np.array([velX,velY]))
velX = locations[0]
velY = locations[1]
# calculate y-location of wake centers
wakeCentersY = np.zeros((nLocations,nTurbines))
wakeCentersYT = np.zeros((nTurbines,nTurbines))
for turb in range(0,nTurbines):
wakeAngleInit = 0.5*np.power(np.cos(yaw[turb]),2)*np.sin(yaw[turb])*4*axialInd[turb]*(1-axialInd[turb])
for loc in range(0,nLocations): # at velX-locations
deltax = np.maximum(velX[loc]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersY[loc,turb] = turbineY[turb]
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,2))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
for turbI in range(0,nTurbines): # at turbineX-locations
deltax = np.maximum(turbineX[turbI]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersYT[turbI,turb] = turbineY[turb]
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,4))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
# calculate wake zone diameters at velX-locations
wakeDiameters = np.zeros((nLocations,nTurbines,3))
wakeDiametersT = np.zeros((nTurbines,nTurbines,3))
for turb in range(0,nTurbines):
for loc in range(0,nLocations): # at velX-locations
deltax = velX[loc]-turbineX[turb]
for zone in range(0,3):
wakeDiameters[loc,turb,zone] = rotorDiameter[turb]+2*ke*me[zone]*np.maximum(deltax,0)
for turbI in range(0,nTurbines): # at turbineX-locations
deltax = turbineX[turbI]-turbineX[turb]
for zone in range(0,3):
wakeDiametersT[turbI,turb,zone] = np.maximum(rotorDiameter[turb]+2*ke*me[zone]*deltax,0)
# calculate overlap areas at rotors
# wakeOverlapT(TURBI,TURB,ZONEI) = overlap area of zone ZONEI of wake
# of turbine TURB with rotor of turbine TURBI
wakeOverlapT = calcOverlapAreas(turbineX,turbineY,rotorDiameter,wakeDiametersT,wakeCentersYT)
# print wakeOverlapT
# make overlap relative to rotor area (maximum value should be 1)
wakeOverlapTRel = np.copy(wakeOverlapT)
for turb in range(0, nTurbines):
wakeOverlapTRel[turb] = wakeOverlapTRel[turb]/rotorArea[turb]
# array effects with full or partial wake overlap:
# use overlap area of zone 1+2 of upstream turbines to correct ke
# Note: array effects only taken into account in calculating
# velocity deficits, in order not to over-complicate code
# (avoid loops in calculating overlaps)
keUncorrected = ke
ke = np.zeros(nTurbines)
for turb in range(0,nTurbines):
s = np.sum(wakeOverlapTRel[turb,:,0]+wakeOverlapTRel[turb,:,1])
ke[turb] = keUncorrected*(1+s*keCorrDA)
# calculate velocities in full flow field (optional)
ws_array = np.tile(Vinf,nLocations)
for turb in range(0,nTurbines):
mU = MU/np.cos(aU*np.pi/180+bU*yaw[turb])
for loc in range(0,nLocations):
deltax = velX[loc] - turbineX[turb]
radiusLoc = abs(velY[loc]-wakeCentersY[loc,turb])
axialIndAndNearRotor = 2*axialInd[turb]
if deltax > 0 and radiusLoc < wakeDiameters[loc,turb,0]/2.0: # check if in zone 1
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[0])*np.maximum(0,deltax))),2)
elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,1]/2.0: # check if in zone 2
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[1])*np.maximum(0,deltax))),2)
elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,2]/2.0: # check if in zone 3
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[2])*np.maximum(0,deltax))),2)
elif deltax <= 0 and radiusLoc < rotorDiameter[turb]/2.0: # check if axial induction zone in front of rotor
reductionFactor = axialIndAndNearRotor*(0.5+np.arctan(2.0*np.minimum(0,deltax)/(rotorDiameter[turb]))/np.pi)
else:
reductionFactor = 0
ws_array[loc] *= (1-reductionFactor)
# find effective wind speeds at downstream turbines, then predict power downstream turbine
velocitiesTurbines = np.tile(Vinf,nTurbines)
for turbI in range(0,nTurbines):
# find overlap-area weighted effect of each wake zone
wakeEffCoeff = 0
for turb in range(0, nTurbines):
wakeEffCoeffPerZone = 0
deltax = turbineX[turbI] - turbineX[turb]
deltay = wakeCentersYT[turbI, turb] - turbineY[turbI]
if deltax > 0:
mU = MU[1] / np.cos(aU*np.pi/180 + bU*yaw[turb])
sigma = (wakeDiametersT[turbI, turb, 2] + rotorDiameter[turbI])/6.
mu = wakeCentersYT[turbI, turb]
max = np.power((rotorDiameter[turb])/(rotorDiameter[turb]+2*ke[turb]*mU*deltax), 2.0)
# print wakeDiametersT[turb, turbI, 0]
# print wakeOverlapT[turbI, turb, 0], (0.25*np.pi*wakeDiametersT[turbI, turb, 0]**2)
for zone in range(0, 4):
p1 = wakeCentersYT[turbI, turb] + deltay - 0.5*rotorDiameter[turbI]
p2 = wakeCentersYT[turbI, turb] + deltay + 0.5*rotorDiameter[turbI]
if zone == 3:
if 1. - sum(wakeOverlapTRel[turbI, turb, :]) >= 1E-8:
if wakeOverlapTRel[turbI, turb, zone-1] > 0.:
# print 'here here'
if wakeOverlapT[turbI, turb, zone-1]/(0.25*np.pi*wakeDiametersT[turbI, turb, zone-1]**2) < 1. - 1E-8:
# print 'here'
if deltay > 0.0:
p1 = wakeCentersYT[turbI, turb] + 0.5*wakeDiametersT[turbI, turb, zone-1]
if deltay < 0.0:
p2 = wakeCentersYT[turbI, turb] - 0.5*wakeDiametersT[turbI, turb, zone-1]
if wakeOverlapT[turbI, turb, zone-1]/(0.25*np.pi*wakeDiametersT[turbI, turb, zone-1]**2) >= 1. - 1E-8:
# print 'no here'
# print wakeOverlapT[turbI, turb, zone-1]/(0.25*np.pi*wakeDiametersT[turbI, turb, zone-1]**2)
p1p = wakeCentersYT[turbI, turb] - 0.5*wakeDiametersT[turbI, turb, zone-1]
p2p = wakeCentersYT[turbI, turb] + 0.5*wakeDiametersT[turbI, turb, zone-1]
# print p1, p1p, p2p, p2
Gave1 = GaussianAverage(max, mu, sigma, p1, p1p)
Gave2 = GaussianAverage(max, mu, sigma, p2p, p2)
Gave3 = GaussianAverage(max, mu, sigma, p1, p2)
# print Gave1, Gave2, Gave3
Gave = (Gave1*abs(p1p-p1) + Gave2*abs(p2-p2p))/(abs(p1p-p1)+abs(p2-p2p))
# Gave = 0.5*(Gave1 + Gave2)
# print Gave
# Gave = Gave3
wakeEffCoeffPerZone += Gave*(1.-sum(wakeOverlapTRel[turbI, turb, :]))
else:
wakeEffCoeffPerZone += GaussianAverage(max, mu, sigma, p1, p2)*(1.-sum(wakeOverlapTRel[turbI, turb, :]))
elif wakeOverlapTRel[turbI, turb, zone] > 0.0:
if wakeCentersYT[turbI, turb] + deltay - 0.5*rotorDiameter[turbI] < wakeCentersYT[turbI, turb] - 0.5*wakeDiametersT[turbI, turb, zone]:
p1 = wakeCentersYT[turbI, turb] - 0.5*wakeDiametersT[turbI, turb, zone]
if wakeCentersYT[turbI, turb] + deltay + 0.5*rotorDiameter[turbI] > wakeCentersYT[turbI, turb] + 0.5*wakeDiametersT[turbI, turb, zone]:
p2 = wakeCentersYT[turbI, turb] + 0.5*wakeDiametersT[turbI, turb, zone]
# print zone-1, wakeOverlapTRel[turbI, turb, zone-1], wakeOverlapT[turbI, turb, zone-1]/(0.25*np.pi*wakeDiametersT[turbI, turb, zone-1]**2)
if (zone > 0.) and (wakeOverlapTRel[turbI, turb, zone-1] > 0.):
# print 'here here'
if wakeOverlapT[turbI, turb, zone-1]/(0.25*np.pi*wakeDiametersT[turbI, turb, zone-1]**2) < 1. - 1E-8:
# print 'here'
if deltay > 0.0:
p1 = wakeCentersYT[turbI, turb] + 0.5*wakeDiametersT[turbI, turb, zone-1]
if deltay < 0.0:
p2 = wakeCentersYT[turbI, turb] - 0.5*wakeDiametersT[turbI, turb, zone-1]
if zone > 0 and (wakeOverlapT[turbI, turb, zone-1]/(0.25*np.pi*wakeDiametersT[turbI, turb, zone-1]**2) >= 1. - 1E-8):
# print 'no here'
# print wakeOverlapT[turbI, turb, zone-1]/(0.25*np.pi*wakeDiametersT[turbI, turb, zone-1]**2)
p1p = wakeCentersYT[turbI, turb] - 0.5*wakeDiametersT[turbI, turb, zone-1]
p2p = wakeCentersYT[turbI, turb] + 0.5*wakeDiametersT[turbI, turb, zone-1]
# print p1, p1p, p2p, p2
Gave1 = GaussianAverage(max, mu, sigma, p1, p1p)
Gave2 = GaussianAverage(max, mu, sigma, p2p, p2)
Gave3 = GaussianAverage(max, mu, sigma, p1, p2)
# print Gave1, Gave2, Gave3
Gave = (Gave1*abs(p1p-p1) + Gave2*abs(p2-p2p))/(abs(p1p-p1)+abs(p2-p2p))
# Gave = 0.5*(Gave1 + Gave2)
# print Gave
# Gave = Gave3
wakeEffCoeffPerZone += Gave*wakeOverlapTRel[turbI, turb, zone]
else:
wakeEffCoeffPerZone += GaussianAverage(max, mu, sigma, p1, p2)*wakeOverlapTRel[turbI, turb, zone]
# print wakeEffCoeffPerZone
# print "wake effective per zone Original", wakeEffCoeffPerZone
wakeEffCoeff = wakeEffCoeff + np.power(axialInd[turb]*wakeEffCoeffPerZone, 2.0)
wakeEffCoeff = (1 - 2 * np.sqrt(wakeEffCoeff))
# print 'wakeEffCoeff original ', wakeEffCoeff
# multiply the inflow speed with the wake coefficients to find effective wind speed at turbine
velocitiesTurbines[turbI] *= wakeEffCoeff
# print 'velocitiesTurbines original ', velocitiesTurbines
# find turbine powers
wt_power = np.power(velocitiesTurbines, 3.0) * (0.5*rho*rotorArea*Cp*np.power(np.cos(yaw), pP))
wt_power /= 1000 # in kW
power = np.sum(wt_power)
return velocitiesTurbines, wt_power, power, ws_array
def FLORIS_GaussianAveRotor(wind_speed, wind_direction, air_density, rotorDiameter, yaw, Cp, axial_induction, turbineX, turbineY,
xdict={'xvars': np.array([-0.5, 0.22, 0.0, 0.5, 1.0, 0.531035])}, ws_positions=np.array([])):
"""Evaluates the FLORIS model and gives the FLORIS-predicted powers of the turbines at locations turbineX, turbineY,
and, optionally, the FLORIS-predicted velocities at locations (velX,velY)"""
pP = 1.88
ke = 0.065
keCorrDA = 0
kd = 0.15
# me = np.array([-0.5, 0.22, 1.0])*np.array([0., 0., 0.05])
# MU = np.array([0.5, 1.0, 5.5])*np.array([0., 0., 0.096])
me = xdict['xvars'][0:3]
MU = xdict['xvars'][3:6]
# print me, MU
ad = -4.5
bd = -0.01
aU = 5.0
bU = 1.66
# rename inputs and outputs
Vinf = wind_speed # from standard FUSED-WIND GenericWindFarm component
windDirection = wind_direction*np.pi/180 # from standard FUSED-WIND GenericWindFarm component
rho = air_density
rotorArea = np.pi*rotorDiameter**2/4. # from standard FUSED-WIND GenericWindFarm component
axialInd = axial_induction
#
# turbineX = positions[:, 0]
# turbineY = positions[:, 1]
yaw = yaw*np.pi/180.
if ws_positions.any():
velX = ws_positions[:, 0]
velY = ws_positions[:, 1]
else:
velX = np.zeros([0,0])
velY = np.zeros([0,0])
# find size of arrays
nTurbines = turbineX.size
nLocations = velX.size
# convert to downwind-crosswind coordinates
rotationMatrix = np.array([(np.cos(-windDirection), -np.sin(-windDirection)),
(np.sin(-windDirection), np.cos(-windDirection))])
turbineLocations = np.dot(rotationMatrix, np.array([turbineX, turbineY]))
turbineX = turbineLocations[0]
turbineY = turbineLocations[1]
if velX.size>0:
locations = np.dot(rotationMatrix,np.array([velX,velY]))
velX = locations[0]
velY = locations[1]
# calculate y-location of wake centers
wakeCentersY = np.zeros((nLocations,nTurbines))
wakeCentersYT = np.zeros((nTurbines,nTurbines))
for turb in range(0,nTurbines):
wakeAngleInit = 0.5*np.power(np.cos(yaw[turb]),2)*np.sin(yaw[turb])*4*axialInd[turb]*(1-axialInd[turb])
for loc in range(0,nLocations): # at velX-locations
deltax = np.maximum(velX[loc]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersY[loc,turb] = turbineY[turb]
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,2))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
for turbI in range(0,nTurbines): # at turbineX-locations
deltax = np.maximum(turbineX[turbI]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersYT[turbI,turb] = turbineY[turb]
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,4))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
# calculate wake zone diameters at velX-locations
wakeDiameters = np.zeros((nLocations,nTurbines,3))
wakeDiametersT = np.zeros((nTurbines,nTurbines,3))
for turb in range(0,nTurbines):
for loc in range(0,nLocations): # at velX-locations
deltax = velX[loc]-turbineX[turb]
for zone in range(0,3):
wakeDiameters[loc,turb,zone] = rotorDiameter[turb]+2*ke*me[zone]*np.maximum(deltax,0)
for turbI in range(0,nTurbines): # at turbineX-locations
deltax = turbineX[turbI]-turbineX[turb]
for zone in range(0,3):
wakeDiametersT[turbI,turb,zone] = np.maximum(rotorDiameter[turb]+2*ke*me[zone]*deltax,0)
# calculate overlap areas at rotors
# wakeOverlapT(TURBI,TURB,ZONEI) = overlap area of zone ZONEI of wake
# of turbine TURB with rotor of turbine TURBI
wakeOverlapT = calcOverlapAreas(turbineX,turbineY,rotorDiameter,wakeDiametersT,wakeCentersYT)
# make overlap relative to rotor area (maximum value should be 1)
wakeOverlapTRel = wakeOverlapT
for turb in range(0,nTurbines):
wakeOverlapTRel[turb] = wakeOverlapTRel[turb]/rotorArea[turb]
# array effects with full or partial wake overlap:
# use overlap area of zone 1+2 of upstream turbines to correct ke
# Note: array effects only taken into account in calculating
# velocity deficits, in order not to over-complicate code
# (avoid loops in calculating overlaps)
keUncorrected = ke
ke = np.zeros(nTurbines)
for turb in range(0,nTurbines):
s = np.sum(wakeOverlapTRel[turb,:,0]+wakeOverlapTRel[turb,:,1])
ke[turb] = keUncorrected*(1+s*keCorrDA)
# calculate velocities in full flow field (optional)
ws_array = np.tile(Vinf,nLocations)
for turb in range(0,nTurbines):
mU = MU/np.cos(aU*np.pi/180+bU*yaw[turb])
for loc in range(0,nLocations):
deltax = velX[loc] - turbineX[turb]
radiusLoc = abs(velY[loc]-wakeCentersY[loc,turb])
axialIndAndNearRotor = 2*axialInd[turb]
if deltax > 0 and radiusLoc < wakeDiameters[loc,turb,0]/2.0: # check if in zone 1
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[0])*np.maximum(0,deltax))),2)
elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,1]/2.0: # check if in zone 2
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[1])*np.maximum(0,deltax))),2)
elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,2]/2.0: # check if in zone 3
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[2])*np.maximum(0,deltax))),2)
elif deltax <= 0 and radiusLoc < rotorDiameter[turb]/2.0: # check if axial induction zone in front of rotor
reductionFactor = axialIndAndNearRotor*(0.5+np.arctan(2.0*np.minimum(0,deltax)/(rotorDiameter[turb]))/np.pi)
else:
reductionFactor = 0
ws_array[loc] *= (1-reductionFactor)
# find effective wind speeds at downstream turbines, then predict power downstream turbine
velocitiesTurbines = np.tile(Vinf,nTurbines)
for turbI in range(0,nTurbines):
# find overlap-area weighted effect of each wake zone
wakeEffCoeff = 0
for turb in range(0, nTurbines):
wakeEffCoeffPerZone = 0
deltax = turbineX[turbI] - turbineX[turb]
if deltax > 0:
deltay = wakeCentersYT[turbI, turb] - turbineY[turbI]
mU = MU[2] / np.cos(aU*np.pi/180 + bU*yaw[turb])
sigma = (wakeDiametersT[turbI, turb, 2] + rotorDiameter[turbI])/6.
mu = wakeCentersYT[turbI, turb]
max = np.power((rotorDiameter[turb])/(rotorDiameter[turb]+2*ke[turb]*mU*deltax), 2.0)
p1 = wakeCentersYT[turbI, turb] + deltay - rotorDiameter[turbI]/2.
p2 = wakeCentersYT[turbI, turb] + deltay + rotorDiameter[turbI]/2.
wakeEffCoeffPerZone = GaussianAverage(max, mu, sigma, p1, p2)
# wakeEffCoeffPerZone = GaussianMax(turbineY[turbI], max, mu, sigma)
wakeEffCoeff = wakeEffCoeff + np.power(axialInd[turb]*wakeEffCoeffPerZone, 2.0)
wakeEffCoeff = (1 - 2 * np.sqrt(wakeEffCoeff))
# print 'wakeEffCoeff original ', wakeEffCoeff
# multiply the inflow speed with the wake coefficients to find effective wind speed at turbine
velocitiesTurbines[turbI] *= wakeEffCoeff
# print 'velocitiesTurbines original ', velocitiesTurbines
# find turbine powers
wt_power = np.power(velocitiesTurbines, 3.0) * (0.5*rho*rotorArea*Cp*np.power(np.cos(yaw), pP))
wt_power /= 1000 # in kW
power = np.sum(wt_power)
return velocitiesTurbines, wt_power, power, ws_array
def FLORIS_GaussianAveRotorZones(wind_speed, wind_direction, air_density, rotorDiameter, yaw, Cp, axial_induction, turbineX, turbineY,
xdict={'xvars': np.array([-0.5, 0.22, 0.5, 0.5, 0.620167, 5.500000])}, ws_positions=np.array([])):
"""Evaluates the FLORIS model and gives the FLORIS-predicted powers of the turbines at locations turbineX, turbineY,
and, optionally, the FLORIS-predicted velocities at locations (velX,velY)"""
pP = 1.88
ke = 0.065
keCorrDA = 0
kd = 0.15
# me = np.array([-0.5, 0.22, 1.0])*np.array([1., 1., 0.65])
# MU = np.array([0.5, 1.0, 5.5])*np.array([0., 0.63, 0.0])
me = xdict['xvars'][0:3]
MU = xdict['xvars'][3:6]
ad = -4.5
bd = -0.01
aU = 5.0
bU = 1.66
# rename inputs and outputs
Vinf = wind_speed # from standard FUSED-WIND GenericWindFarm component
windDirection = wind_direction*np.pi/180 # from standard FUSED-WIND GenericWindFarm component
rho = air_density
rotorArea = np.pi*rotorDiameter**2/4. # from standard FUSED-WIND GenericWindFarm component
axialInd = axial_induction
#
# turbineX = positions[:, 0]
# turbineY = positions[:, 1]
yaw = yaw*np.pi/180.
if ws_positions.any():
velX = ws_positions[:, 0]
velY = ws_positions[:, 1]
else:
velX = np.zeros([0,0])
velY = np.zeros([0,0])
# find size of arrays
nTurbines = turbineX.size
nLocations = velX.size
# convert to downwind-crosswind coordinates
rotationMatrix = np.array([(np.cos(-windDirection), -np.sin(-windDirection)),
(np.sin(-windDirection), np.cos(-windDirection))])
turbineLocations = np.dot(rotationMatrix,np.array([turbineX,turbineY]))
turbineX = turbineLocations[0]
turbineY = turbineLocations[1]
if velX.size>0:
locations = np.dot(rotationMatrix,np.array([velX,velY]))
velX = locations[0]
velY = locations[1]
# calculate y-location of wake centers
wakeCentersY = np.zeros((nLocations,nTurbines))
wakeCentersYT = np.zeros((nTurbines,nTurbines))
for turb in range(0,nTurbines):
wakeAngleInit = 0.5*np.power(np.cos(yaw[turb]),2)*np.sin(yaw[turb])*4*axialInd[turb]*(1-axialInd[turb])
for loc in range(0,nLocations): # at velX-locations
deltax = np.maximum(velX[loc]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersY[loc,turb] = turbineY[turb]
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,2))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
for turbI in range(0,nTurbines): # at turbineX-locations
deltax = np.maximum(turbineX[turbI]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersYT[turbI,turb] = turbineY[turb]
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,4))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
# calculate wake zone diameters at velX-locations
wakeDiameters = np.zeros((nLocations,nTurbines,3))
wakeDiametersT = np.zeros((nTurbines,nTurbines,3))
for turb in range(0,nTurbines):
for loc in range(0,nLocations): # at velX-locations
deltax = velX[loc]-turbineX[turb]
for zone in range(0,3):
wakeDiameters[loc,turb,zone] = rotorDiameter[turb]+2*ke*me[zone]*np.maximum(deltax,0)
for turbI in range(0,nTurbines): # at turbineX-locations
deltax = turbineX[turbI]-turbineX[turb]
for zone in range(0,3):
wakeDiametersT[turbI,turb,zone] = np.maximum(rotorDiameter[turb]+2*ke*me[zone]*deltax,0)
# calculate overlap areas at rotors
# wakeOverlapT(TURBI,TURB,ZONEI) = overlap area of zone ZONEI of wake
# of turbine TURB with rotor of turbine TURBI
wakeOverlapT = calcOverlapAreas(turbineX,turbineY,rotorDiameter,wakeDiametersT,wakeCentersYT)
# make overlap relative to rotor area (maximum value should be 1)
wakeOverlapTRel = wakeOverlapT
for turb in range(0,nTurbines):
wakeOverlapTRel[turb] = wakeOverlapTRel[turb]/rotorArea[turb]
# array effects with full or partial wake overlap:
# use overlap area of zone 1+2 of upstream turbines to correct ke
# Note: array effects only taken into account in calculating
# velocity deficits, in order not to over-complicate code
# (avoid loops in calculating overlaps)
keUncorrected = ke
ke = np.zeros(nTurbines)
for turb in range(0,nTurbines):
s = np.sum(wakeOverlapTRel[turb,:,0]+wakeOverlapTRel[turb,:,1])
ke[turb] = keUncorrected*(1+s*keCorrDA)
# calculate velocities in full flow field (optional)
ws_array = np.tile(Vinf,nLocations)
for turb in range(0,nTurbines):
mU = MU/np.cos(aU*np.pi/180+bU*yaw[turb])
for loc in range(0,nLocations):
deltax = velX[loc] - turbineX[turb]
radiusLoc = abs(velY[loc]-wakeCentersY[loc,turb])
axialIndAndNearRotor = 2*axialInd[turb]
if deltax > 0 and radiusLoc < wakeDiameters[loc,turb,0]/2.0: # check if in zone 1
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[0])*np.maximum(0,deltax))),2)
elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,1]/2.0: # check if in zone 2
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[1])*np.maximum(0,deltax))),2)
elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,2]/2.0: # check if in zone 3
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[2])*np.maximum(0,deltax))),2)
elif deltax <= 0 and radiusLoc < rotorDiameter[turb]/2.0: # check if axial induction zone in front of rotor
reductionFactor = axialIndAndNearRotor*(0.5+np.arctan(2.0*np.minimum(0,deltax)/(rotorDiameter[turb]))/np.pi)
else:
reductionFactor = 0
ws_array[loc] *= (1-reductionFactor)
# find effective wind speeds at downstream turbines, then predict power downstream turbine
velocitiesTurbines = np.tile(Vinf,nTurbines)
for turbI in range(0,nTurbines):
# find overlap-area weighted effect of each wake zone
wakeEffCoeff = 0
for turb in range(0, nTurbines):
wakeEffCoeffPerZone = 0
deltax = turbineX[turbI] - turbineX[turb]
deltay = wakeCentersYT[turbI, turb] - turbineY[turbI]
if deltax > 0:
mU = MU[1] / np.cos(aU*np.pi/180 + bU*yaw[turb])
sigma = (wakeDiametersT[turbI, turb, 2] + rotorDiameter[turbI])/6.
mu = wakeCentersYT[turbI, turb]
max = np.power((rotorDiameter[turb])/(rotorDiameter[turb]+2*ke[turb]*mU*deltax), 2.0)
for zone in range(0, 4):
p1 = wakeCentersYT[turbI, turb] + deltay - 0.5*rotorDiameter[turbI]
p2 = wakeCentersYT[turbI, turb] + deltay + 0.5*rotorDiameter[turbI]
if zone == 3:
wakeEffCoeffPerZone += GaussianAverage(max, mu, sigma, p1, p2)*(1.-sum(wakeOverlapTRel[turbI, turb, :]))
elif wakeOverlapTRel[turbI, turb, zone] > 0.0:
# if wakeCentersYT[turbI, turb] + deltay - 0.5*rotorDiameter[turbI] < wakeCentersYT[turbI, turb] - wakeDiametersT[turbI, turb, zone]:
# p1 = wakeCentersYT[turbI, turb] - 0.5*wakeDiametersT[turbI, turb, zone]
# if wakeCentersYT[turbI, turb] + deltay + 0.5*rotorDiameter[turbI] > wakeCentersYT[turbI, turb] + 0.5*rotorDiameter[turbI]:
# p2 = wakeCentersYT[turbI, turb] + 0.5*wakeDiametersT[turbI, turb, zone]
# if zone > 0 and wakeOverlapTRel[turbI, turb, zone-1] > 0:
# if wakeOverlapTRel[turbI, turb, zone-1] < 1 - 1E8:
# if deltay > 0.0:
# p1 = wakeCentersYT[turbI, turb] + 0.5*wakeDiametersT[turbI, turb, zone-1]
# if deltay < 0.0:
# p2 = wakeCentersYT[turbI, turb] - 0.5*wakeDiametersT[turbI, turb, zone-1]
#
# if zone > 0 and wakeOverlapTRel[turbI, turb, zone-1] >= 1 - 1E8:
# p1p = wakeCentersYT[turbI, turb] - 0.5*wakeDiametersT[turbI, turb, zone]
# p2p = wakeCentersYT[turbI, turb] + 0.5*wakeDiametersT[turbI, turb, zone]
# Gave1 = GaussianAverage(max, mu, sigma, p1, p1p)
# Gave2 = GaussianAverage(max, mu, sigma, p2, p2p)
# Gave = 0.5*(Gave1 + Gave2)
# wakeEffCoeffPerZone += Gave*wakeOverlapTRel[turbI, turb, zone]
# else:
wakeEffCoeffPerZone += GaussianAverage(max, mu, sigma, p1, p2)*wakeOverlapTRel[turbI, turb, zone]
# print wakeEffCoeffPerZone
# print "wake effective per zone Original", wakeEffCoeffPerZone
wakeEffCoeff = wakeEffCoeff + np.power(axialInd[turb]*wakeEffCoeffPerZone, 2.0)
wakeEffCoeff = (1 - 2 * np.sqrt(wakeEffCoeff))
# print 'wakeEffCoeff original ', wakeEffCoeff
# multiply the inflow speed with the wake coefficients to find effective wind speed at turbine
velocitiesTurbines[turbI] *= wakeEffCoeff
# print 'velocitiesTurbines original ', velocitiesTurbines
# find turbine powers
wt_power = np.power(velocitiesTurbines, 3.0) * (0.5*rho*rotorArea*Cp*np.power(np.cos(yaw), pP))
wt_power /= 1000 # in kW
power = np.sum(wt_power)
return velocitiesTurbines, wt_power, power, ws_array
def FLORIS_GaussianHub(wind_speed, wind_direction, air_density, rotorDiameter, yaw, Cp, axial_induction, turbineX, turbineY,
xdict={'xvars': np.array([-0.5, 0.22, 0.725083, 0.5, 1.0, 0.804150])}, ws_positions=np.array([])):
"""Evaluates the FLORIS model and gives the FLORIS-predicted powers of the turbines at locations turbineX, turbineY,
and, optionally, the FLORIS-predicted velocities at locations (velX,velY)"""
# xdict = np.array(xdict)
# print xdict
pP = 1.88
# ke = 0.065
ke = 0.052
# keCorrDA = 0
# kd = 0.15
# me = np.array([-0.5, 0.22, 1.0])*np.array([1., 1., 0.75])
# MU = np.array([0.5, 1.0, 5.5])*np.array([0., 0., 0.1475])
# me = xdict['xvars'][0:3][2]
me = 1.0
# MU = xdict['xvars'][3:6][2]
# ad = -4.5
# bd = -0.01
# aU = 5.0
# bU = 1.66
# rename inputs and outputs
Vinf = wind_speed # from standard FUSED-WIND GenericWindFarm component
windDirection = wind_direction*np.pi/180. # from standard FUSED-WIND GenericWindFarm component
rho = air_density
rotorArea = np.pi*rotorDiameter**2/4. # from standard FUSED-WIND GenericWindFarm component
axialInd = axial_induction
yaw = yaw*np.pi/180.
if ws_positions.any():
velX = ws_positions[:, 0]
velY = ws_positions[:, 1]
else:
velX = np.zeros([0, 0])
velY = np.zeros([0, 0])
# find size of arrays
nTurbines = turbineX.size
nLocations = velX.size
# convert to downwind-crosswind coordinates
rotationMatrix = np.array([(np.cos(-windDirection), -np.sin(-windDirection)),
(np.sin(-windDirection), np.cos(-windDirection))])
turbineLocations = np.dot(rotationMatrix, np.array([turbineX, turbineY]))
turbineX = turbineLocations[0]
turbineY = turbineLocations[1]
if velX.size > 0:
locations = np.dot(rotationMatrix, np.array([velX, velY]))
velX = locations[0]
velY = locations[1]
# calculate y-location of wake centers
wakeCentersY = np.zeros((nLocations, nTurbines))
wakeCentersYT = np.zeros((nTurbines, nTurbines))
for turb in range(0, nTurbines):
# wakeAngleInit = 0.5*np.power(np.cos(yaw[turb]), 2)*np.sin(yaw[turb])*4.*axialInd[turb]*(1.-axialInd[turb])
wakeAngleInit = 0.5*np.power(np.cos(yaw[turb]), 2)*np.sin(yaw[turb])*4.*axialInd[turb]*(1.-axialInd[turb])+2.0*np.pi/180.
# wakeAngleInit = (0.6*axialInd[turb] + 1.)*yaw[turb]
# for loc in range(0, nLocations): # at velX-locations
# deltax = np.maximum(velX[loc]-turbineX[turb], 0)
# factor = (2*kd*deltax/rotorDiameter[turb])+1
# wakeCentersY[loc, turb] = turbineY[turb]
# wakeCentersY[loc, turb] = wakeCentersY[loc, turb] + ad+bd*deltax # rotation-induced deflection
# wakeCentersY[loc, turb] = wakeCentersY[loc, turb] + \
# (wakeAngleInit*(15*np.power(factor, 4)+np.power(wakeAngleInit, 2))/((30*kd*np.power(factor, 5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit, 4))/(30*kd)) # yaw-induced deflection
for turbI in range(0, nTurbines): # at turbineX-locations
deltax = np.maximum(turbineX[turbI]-turbineX[turb], 0)
kd = ke + 0.015
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersYT[turbI, turb] = turbineY[turb]
# wakeCentersYT[turbI, turb] += ad+bd*deltax # rotation-induced deflection
# wakeCentersYT[turbI, turb] += ad # rotation-induced deflection
# wakeCentersYT[turbI, turb] = wakeCentersYT[turbI,turb] + \
# (wakeAngleInit*(15*np.power(factor, 4)+np.power(wakeAngleInit, 4))/((30*kd*np.power(factor, 5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit, 4))/(30*kd)) # yaw-induced deflection
# ##############
# calculate distance from wake cone apex to wake producing turbine
x1 = 0.5*rotorDiameter[turb]/kd
# calculate x position with cone apex as origin
x = x1 + deltax
# calculate wake offset due to yaw
wakeCentersYT[turbI, turb] -= -wakeAngleInit*(x1**2)/x + x1*wakeAngleInit
# ###############
# calculate wake zone diameters at velX-locations
wakeDiameters = np.zeros((nLocations, nTurbines))
wakeDiametersT = np.zeros((nTurbines, nTurbines))
for turb in range(0, nTurbines):
for loc in range(0, nLocations): # at velX-locations
deltax = velX[loc]-turbineX[turb]
wakeDiameters[loc, turb] = rotorDiameter[turb]+2*ke*me*np.maximum(deltax, 0)
for turbI in range(0, nTurbines): # at turbineX-locations
deltax = turbineX[turbI]-turbineX[turb]
# wakeDiametersT[turbI, turb] = np.maximum(rotorDiameter[turb]+2*ke*me*deltax, 0)
wakeDiametersT[turbI, turb] = np.maximum(rotorDiameter[turb]+2*ke*deltax, 0)
# calculate overlap areas at rotors
# wakeOverlapT(TURBI,TURB,ZONEI) = overlap area of zone ZONEI of wake
# of turbine TURB with rotor of turbine TURBI
# wakeOverlapT = calcOverlapAreas(turbineX,turbineY,rotorDiameter,wakeDiametersT,wakeCentersYT)
# make overlap relative to rotor area (maximum value should be 1)
# wakeOverlapTRel = wakeOverlapT
# for turb in range(0,nTurbines):
# wakeOverlapTRel[turb] = wakeOverlapTRel[turb]/rotorArea[turb]
# array effects with full or partial wake overlap:
# use overlap area of zone 1+2 of upstream turbines to correct ke
# Note: array effects only taken into account in calculating
# velocity deficits, in order not to over-complicate code
# (avoid loops in calculating overlaps)
# keUncorrected = ke
# ke = np.zeros(nTurbines)
# for turb in range(0,nTurbines):
# s = np.sum(wakeOverlapTRel[turb,:,0]+wakeOverlapTRel[turb,:,1])
# ke[turb] = keUncorrected*(1+s*keCorrDA)
ke = np.ones(nTurbines)*ke
# calculate velocities in full flow field (optional)
ws_array = np.tile(Vinf,nLocations)
# for turb in range(0,nTurbines):
# mU = MU/np.cos(aU*np.pi/180+bU*yaw[turb])
# for loc in range(0,nLocations):
# deltax = velX[loc] - turbineX[turb]
# radiusLoc = abs(velY[loc]-wakeCentersY[loc,turb])
# axialIndAndNearRotor = 2*axialInd[turb]
#
# if deltax > 0 and radiusLoc < wakeDiameters[loc, turb]/2.0: # check if in zone 3
# reductionFactor = axialIndAndNearRotor * \
# np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU)*np.maximum(0, deltax))), 2)
# elif deltax <= 0 and radiusLoc < rotorDiameter[turb]/2.0: # check if axial induction zone in front of rotor
# reductionFactor = axialIndAndNearRotor*(0.5+np.arctan(2.0*np.minimum(0, deltax)/(rotorDiameter[turb]))/np.pi)
# else:
# reductionFactor = 0
# ws_array[loc] *= (1-reductionFactor)
# find effective wind speeds at downstream turbines, then predict power downstream turbine
velocitiesTurbines = np.tile(Vinf, nTurbines)
for turbI in range(0,nTurbines):
# find overlap-area weighted effect of each wake zone
wakeEffCoeff = 0
for turb in range(0, nTurbines):
wakeEffCoeffPerZone = 0
deltax = turbineX[turbI] - turbineX[turb]
if deltax > 0:
# deltay = wakeCentersYT[turbI, turb] - turbineY[turbI]
# mU = MU / np.cos(aU*np.pi/180 + bU*yaw[turb])
# mU = MU
sigma = (wakeDiametersT[turbI, turb] + rotorDiameter[turbI])/6.
mu = wakeCentersYT[turbI, turb]
# max = np.power((rotorDiameter[turb])/(rotorDiameter[turb]+2*ke[turb]*mU*deltax), 2.0)
max = np.power((rotorDiameter[turb])/(rotorDiameter[turb]+2*ke[turb]*deltax), 2.0)
# p1 = wakeCentersYT[turbI, turb] + deltay - rotorDiameter[turbI]/2.
# p2 = wakeCentersYT[turbI, turb] + deltay + rotorDiameter[turbI]/2.
# wakeEffCoeffPerZone = GaussianAverage(max, mu, sigma, p1, p2)
wakeEffCoeffPerZone = GaussianMax(turbineY[turbI], max, mu, sigma)
wakeEffCoeff = wakeEffCoeff + np.power(axialInd[turb]*wakeEffCoeffPerZone, 2.0)
wakeEffCoeff = (1 - 2 * np.sqrt(wakeEffCoeff))
# print 'wakeEffCoeff original ', wakeEffCoeff
# multiply the inflow speed with the wake coefficients to find effective wind speed at turbine
velocitiesTurbines[turbI] *= wakeEffCoeff
# print 'velocitiesTurbines original ', velocitiesTurbines
# find turbine powers
wt_power = np.power(velocitiesTurbines, 3.0) * (0.5*rho*rotorArea*Cp*np.power(np.cos(yaw), pP))
wt_power /= 1000 # in kW
power = np.sum(wt_power)
return velocitiesTurbines, wt_power, power, ws_array
def FLORIS_Cos(wind_speed, wind_direction, air_density, rotorDiameter, yaw, Cp, axial_induction, turbineX, turbineY,
xdict={'xvars': np.array([-0.493681, 0.196292, 0.587587, 0.442133, 1.110093, 5.537140, 3.0, 1.0])}, ws_positions=np.array([])):
"""Evaluates the FLORIS model and gives the FLORIS-predicted powers of the turbines at locations turbineX, turbineY,
and, optionally, the FLORIS-predicted velocities at locations (velX,velY)"""
# xdict={'xvars': np.array([-0.493681, 0.196292, 0.587587, 0.442133, 1.110093, 5.537140, 1E6, 1.0])} ## original FLORIS model newly tuned params
# xdict={'xvars': np.array([-0.476202, 0.849977, 1.135163, 0.755217, 0.846327, 5.470013, 1.042578, 1.0])} best params, ignoring mag, for cos model
# xdict={'xvars': np.array([-0.649728, 0.850570, 1.046345, 0.614197, 0.841373, 5.486359, 1.079179, 1.0])}
# xdict={'xvars': np.array([-0.854513, 0.375026, 0.789352, 0.233813, 0.884157, 5.082038, 1.724035, 1.])}
pP = 1.88
ke = 0.065
keCorrDA = 0
kd = 0.15
# me = np.array([-0.5, 0.22,1.0])
# MU = np.array([0.5, 1.0, 5.5])
me = xdict['xvars'][0:3]
MU = xdict['xvars'][3:6]
cos_spread = xdict['xvars'][6]
cos_mag = xdict['xvars'][7]
# cos_mag = 1.0
ad = -4.5
bd = -0.01
aU = 5.0
bU = 1.66
# rename inputs and outputs
Vinf = wind_speed # from standard FUSED-WIND GenericWindFarm component
windDirection = wind_direction*np.pi/180 # from standard FUSED-WIND GenericWindFarm component
rho = air_density
rotorArea = np.pi*rotorDiameter**2/4. # from standard FUSED-WIND GenericWindFarm component
axialInd = axial_induction
#
# turbineX = positions[:, 0]
# turbineY = positions[:, 1]
yaw = yaw*np.pi/180.
if ws_positions.any():
velX = ws_positions[:, 0]
velY = ws_positions[:, 1]
else:
velX = np.zeros([0,0])
velY = np.zeros([0,0])
# find size of arrays
nTurbines = turbineX.size
nLocations = velX.size
# convert to downwind-crosswind coordinates
rotationMatrix = np.array([(np.cos(-windDirection), -np.sin(-windDirection)),
(np.sin(-windDirection), np.cos(-windDirection))])
turbineLocations = np.dot(rotationMatrix,np.array([turbineX,turbineY]))
turbineX = turbineLocations[0]
turbineY = turbineLocations[1]
if velX.size>0:
locations = np.dot(rotationMatrix,np.array([velX,velY]))
velX = locations[0]
velY = locations[1]
# calculate y-location of wake centers
wakeCentersY = np.zeros((nLocations,nTurbines))
wakeCentersYT = np.zeros((nTurbines,nTurbines))
for turb in range(0,nTurbines):
wakeAngleInit = 0.5*np.power(np.cos(yaw[turb]),2)*np.sin(yaw[turb])*4*axialInd[turb]*(1-axialInd[turb])
for loc in range(0,nLocations): # at velX-locations
deltax = np.maximum(velX[loc]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersY[loc,turb] = turbineY[turb]
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersY[loc,turb] = wakeCentersY[loc,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,2))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
for turbI in range(0,nTurbines): # at turbineX-locations
deltax = np.maximum(turbineX[turbI]-turbineX[turb],0)
factor = (2*kd*deltax/rotorDiameter[turb])+1
wakeCentersYT[turbI,turb] = turbineY[turb]
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + ad+bd*deltax # rotation-induced deflection
wakeCentersYT[turbI,turb] = wakeCentersYT[turbI,turb] + \
(wakeAngleInit*(15*np.power(factor,4)+np.power(wakeAngleInit,4))/((30*kd*np.power(factor,5))/rotorDiameter[turb]))-(wakeAngleInit*rotorDiameter[turb]*(15+np.power(wakeAngleInit,4))/(30*kd)) # yaw-induced deflection
# calculate wake zone diameters at velX-locations
wakeDiameters = np.zeros((nLocations,nTurbines,3))
wakeDiametersT = np.zeros((nTurbines,nTurbines,3))
for turb in range(0,nTurbines):
for loc in range(0,nLocations): # at velX-locations
deltax = velX[loc]-turbineX[turb]
for zone in range(0,3):
wakeDiameters[loc,turb,zone] = rotorDiameter[turb]+2*ke*me[zone]*np.maximum(deltax,0)
for turbI in range(0,nTurbines): # at turbineX-locations
deltax = turbineX[turbI]-turbineX[turb]
for zone in range(0,3):
wakeDiametersT[turbI,turb,zone] = np.maximum(rotorDiameter[turb]+2*ke*me[zone]*deltax,0)
# calculate overlap areas at rotors
# wakeOverlapT(TURBI,TURB,ZONEI) = overlap area of zone ZONEI of wake
# of turbine TURB with rotor of turbine TURBI
wakeOverlapT = calcOverlapAreas(turbineX,turbineY,rotorDiameter,wakeDiametersT,wakeCentersYT)
# make overlap relative to rotor area (maximum value should be 1)
wakeOverlapTRel = wakeOverlapT
for turb in range(0,nTurbines):
wakeOverlapTRel[turb] = wakeOverlapTRel[turb]/rotorArea[turb]
# array effects with full or partial wake overlap:
# use overlap area of zone 1+2 of upstream turbines to correct ke
# Note: array effects only taken into account in calculating
# velocity deficits, in order not to over-complicate code
# (avoid loops in calculating overlaps)
keUncorrected = ke
ke = np.zeros(nTurbines)
for turb in range(0,nTurbines):
s = np.sum(wakeOverlapTRel[turb,:,0]+wakeOverlapTRel[turb,:,1])
ke[turb] = keUncorrected*(1+s*keCorrDA)
# calculate velocities in full flow field (optional)
ws_array = np.tile(Vinf,nLocations)
for turb in range(0,nTurbines):
mU = MU/np.cos(aU*np.pi/180+bU*yaw[turb])
for loc in range(0,nLocations):
deltax = velX[loc] - turbineX[turb]
radiusLoc = abs(velY[loc]-wakeCentersY[loc,turb])
axialIndAndNearRotor = 2*axialInd[turb]
if deltax > 0 and radiusLoc < wakeDiameters[loc,turb,0]/2.0: # check if in zone 1
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[0])*np.maximum(0,deltax))),2)
elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,1]/2.0: # check if in zone 2
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[1])*np.maximum(0,deltax))),2)
elif deltax > 0 and radiusLoc < wakeDiameters[loc,turb,2]/2.0: # check if in zone 3
reductionFactor = axialIndAndNearRotor*\
np.power((rotorDiameter[turb]/(rotorDiameter[turb]+2*ke[turb]*(mU[2])*np.maximum(0,deltax))),2)
elif deltax <= 0 and radiusLoc < rotorDiameter[turb]/2.0: # check if axial induction zone in front of rotor
reductionFactor = axialIndAndNearRotor*(0.5+np.arctan(2.0*np.minimum(0,deltax)/(rotorDiameter[turb]))/np.pi)
else:
reductionFactor = 0
ws_array[loc] *= (1-reductionFactor)
# find effective wind speeds at downstream turbines, then predict power downstream turbine
velocitiesTurbines = np.tile(Vinf, nTurbines)
for turbI in range(0,nTurbines):
# find overlap-area weighted effect of each wake zone
wakeEffCoeff = 0
for turb in range(0,nTurbines):
wakeEffCoeffPerZone = 0
deltax = turbineX[turbI] - turbineX[turb]
if deltax > 0:
mU = MU / np.cos(aU*np.pi/180 + bU*yaw[turb])
for zone in range(0,3):
rmax = cos_spread*0.5*(wakeDiametersT[turbI, turb, 2] + rotorDiameter[turbI])
cosFac = cos_mag*0.5*(1.0 + np.cos(np.pi*abs(wakeCentersYT[turbI, turb]-turbineY[turbI])/rmax))
wakeEffCoeffPerZone = wakeEffCoeffPerZone + np.power(cosFac*(rotorDiameter[turb])/(rotorDiameter[turb]+2*ke[turb]*mU[zone]*deltax), 2.0) * wakeOverlapTRel[turbI,turb,zone]
# print "wake effective per zone Original", wakeEffCoeffPerZone
wakeEffCoeff += np.power(axialInd[turb]*wakeEffCoeffPerZone, 2.0)
# add gaussian curve to result
mU = MU[2] / np.cos(aU*np.pi/180 + bU*yaw[turb])
# sigma = (wakeDiametersT[turbI, turb, 2] + rotorDiameter[turbI])/6.
# mu = wakeCentersYT[turbI, turb]
# max = maxval #np.power((rotorDiameter[turb])/(rotorDiameter[turb]+2*ke[turb]*mU*deltax), 2.0)
# print wakeEffCoeff, GaussianMax(turbineY[turbI], max, mu, sigma)
# wakeEffCoeff += GaussianMax(turbineY[turbI], max, mu, sigma)
wakeEffCoeff = (1 - 2 * np.sqrt(wakeEffCoeff))
# print 'wakeEffCoeff original ', wakeEffCoeff
# multiply the inflow speed with the wake coefficients to find effective wind speed at turbine
velocitiesTurbines[turbI] *= wakeEffCoeff
# velocitiesTurbines[turbI] += GaussianMax(turbineY[turbI], max, mu, sigma)
# print 'velocitiesTurbines original ', velocitiesTurbines
# find turbine powers
wt_power = np.power(velocitiesTurbines, 3.0) * (0.5*rho*rotorArea*Cp*np.power(np.cos(yaw), pP))
wt_power /= 1000 # in kW
power = np.sum(wt_power)
return velocitiesTurbines, wt_power, power, ws_array
def circleAreaForInt(R):
f = 2*np.pi*R
return f
def calcOverlapAreas(turbineX,turbineY,rotorDiameter,wakeDiameters,wakeCenters):
"""calculate overlap of rotors and wake zones (wake zone location defined by wake center and wake diameter)
turbineX,turbineY is x,y-location of center of rotor
wakeOverlap(TURBI,TURB,ZONEI) = overlap area of zone ZONEI of wake of turbine TURB with rotor of downstream turbine
TURBI"""
nTurbines = turbineY.size
wakeOverlap = np.zeros((nTurbines,nTurbines,3))
for turb in range(0,nTurbines):
for turbI in range(0,nTurbines):
if turbineX[turbI] > turbineX[turb]:
OVdYd = wakeCenters[turbI,turb]-turbineY[turbI]
OVr = rotorDiameter[turbI]/2
for zone in range(0,3):
OVR = wakeDiameters[turbI,turb,zone]/2
OVdYd = abs(OVdYd)
if OVdYd != 0:
OVL = (-np.power(OVr,2.0)+np.power(OVR,2.0)+np.power(OVdYd,2.0))/(2.0*OVdYd)
else:
OVL = 0
OVz = np.power(OVR,2.0)-np.power(OVL,2.0)
if OVz > 0:
OVz = np.sqrt(OVz)
else:
OVz = 0
if OVdYd < (OVr+OVR):
if OVL < OVR and (OVdYd-OVL) < OVr:
wakeOverlap[turbI,turb,zone] = np.power(OVR,2.0)*np.arccos(OVL/OVR) + np.power(OVr,2.0)*np.arccos((OVdYd-OVL)/OVr) - OVdYd*OVz
elif OVR > OVr:
wakeOverlap[turbI,turb,zone] = np.pi*np.power(OVr,2.0)
else:
wakeOverlap[turbI,turb,zone] = np.pi*np.power(OVR,2.0)
else:
wakeOverlap[turbI,turb,zone] = 0
for turb in range(0,nTurbines):
for turbI in range(0,nTurbines):
wakeOverlap[turbI,turb,2] = wakeOverlap[turbI,turb,2]-wakeOverlap[turbI,turb,1]
wakeOverlap[turbI,turb,1] = wakeOverlap[turbI,turb,1]-wakeOverlap[turbI,turb,0]
return wakeOverlap
def gaussian(x, mu, sigma):
f = (1./(sigma*np.sqrt(2.*np.pi)))*np.exp((-(x-mu)**2)/(2.*sigma**2))
return f
def GaussianExactSector(R, r, d, C, Dw):
"""
:param R: radial distance from wake center
:param r: radius of wind turbine rotor
:param d: horizontal distance between hub and wake center
:param C: Ci(x) defining wake deficit
:param Dw: width of the wake (should be 4*std.-dev.)
:return: product of area and wake deficit for use with integration
"""
f = 2.0*R*np.arccos((d**2+R**2-r**2)/(2*d*R))
sigma = Dw/4.
mu = 0.
g = C*np.exp((R-mu)**2/(2.*sigma**2))
return f*g
def LinearizedExactSector(R, r, d, C, Dw):
"""
:param R: radial distance from wake center
:param r: radius of wind turbine rotor
:param d: horizontal distance between hub and wake center
:param C: numpy array of Ci(x, R) defining wake deficit
:param Dw: width of the wake (should be 4*std.-dev.)
:return: product of area and wake deficit for use with integration
"""
# print 'vals: ', d, R, r
OVdYd = d
OVr = r
OVR = R
OVdYd = abs(OVdYd)
if OVdYd != 0:
OVL = (-np.power(OVr, 2.0)+np.power(OVR, 2.0)+np.power(OVdYd, 2.0))/(2.0*OVdYd)
else:
OVL = 0
if OVdYd < (OVr+OVR):
if OVL < OVR and (OVdYd-OVL) < OVr:
f = 2.*OVR*np.arccos(OVL/OVR)
elif OVR > OVr:
f = 2.*np.pi*OVr
else:
f = 2.*np.pi*OVR
else:
f = 0.0
# if d + R > r:
# f = 2.0*R*np.arccos((d**2+R**2-r**2)/(2.*d*R))
# else:
# f = 2.0*R*np.pi
if R <= Dw[1]/2.:
g = 2.*((C[1]-C[0])/(Dw[1]-Dw[0]))*(R-Dw[0]/2.)+C[0]
# print 'g, R, C ', g, R, C
# print 10000000000000000000000
elif R <= Dw[2]/2.:
g = 2.*((C[2]-C[1])/(Dw[2]-Dw[1]))*(R-Dw[1]/2.)+C[1]
# print 20000000000000000000000
elif R <= Dw[3]/2.:
g = 2.*((C[3]-C[2])/(Dw[3]-Dw[2]))*(R-Dw[2]/2.)+C[2]
# print 30000000000000000000000
elif R <= Dw[4]/2.:
g = 2.*((C[4]-C[3])/(Dw[4]-Dw[3]))*(R-Dw[3]/2.)+C[3]
# print 40000000000000000000000
else:
g = 0.0
# print 50000000000000000000000
# g = 1.
# print 'g, R, C ', g, R, C
# print 'g ', g
return f*g
def LinearizedHeight(R, r, d, C, Dw):
"""
:param R: radial distance from wake center
:param r: radius of wind turbine rotor
:param d: horizontal distance between hub and wake center
:param C: numpy array of Ci(x, R) defining wake deficit
:param Dw: width of the wake (should be 4*std.-dev.)
:return: product of area and wake deficit for use with integration
"""
d = abs(d)
hR = np.sqrt(r**2-(d-R)**2)
hr = np.sqrt()
# print 'vals: ', d, R, r
OVdYd = d
OVr = r
OVR = R
OVdYd = abs(OVdYd)
if OVdYd != 0:
OVL = (-np.power(OVr, 2.0)+np.power(OVR, 2.0)+np.power(OVdYd, 2.0))/(2.0*OVdYd)
else:
OVL = 0
if OVdYd < (OVr+OVR):
if OVL < OVR and (OVdYd-OVL) < OVr:
f = 2.*OVR*np.arccos(OVL/OVR)
# elif OVR > OVr:
# f = 2.*np.pi*OVr
else:
f = 2.*np.pi*OVR
else:
f = 0.0
# if d + R > r:
# f = 2.0*R*np.arccos((d**2+R**2-r**2)/(2.*d*R))
# else:
# f = 2.0*R*np.pi
if R <= Dw[1]/2.:
g = 2.*((C[1]-C[0])/(Dw[1]-Dw[0]))*(R-Dw[0]/2.)+C[0]
# print 'g, R, C ', g, R, C
# print 10000000000000000000000
elif R <= Dw[2]/2.:
g = 2.*((C[2]-C[1])/(Dw[2]-Dw[1]))*(R-Dw[1]/2.)+C[1]
# print 20000000000000000000000
elif R <= Dw[3]/2.:
g = 2.*((C[3]-C[2])/(Dw[3]-Dw[2]))*(R-Dw[2]/2.)+C[2]
# print 30000000000000000000000
elif R <= Dw[4]/2.:
g = 2.*((C[4]-C[3])/(Dw[4]-Dw[3]))*(R-Dw[3]/2.)+C[3]
# print 40000000000000000000000
else:
g = 0.0
# print 50000000000000000000000
# g = 1.
# print 'g, R, C ', g, R, C
# print 'g ', g
return f*g
def LinearizedSingleSector(r, d, C, Dw, R1, R2):
"""
:param R: radial distance from wake center
:param r: radius of wind turbine rotor
:param d: horizontal distance between hub and wake center
:param C: numpy array of Ci(x, R) defining wake deficit
:param Dw: width of the wake (should be 4*std.-dev.)
:return: integral of area and wake deficit using segment angle at average R value
"""
R = (R2-R1)/2.
theta = np.arccos((d**2+R**2-r**2)/(2.*d*R))
if R <= Dw[1]:
CC = (C[1]-C[0])/(Dw[1]-Dw[0])
DD = Dw[0]/2.
Q = C[0]
elif R <= Dw[2]:
CC = (C[2]-C[1])/(Dw[2]-Dw[1])
DD = Dw[1]/2.
Q = C[1]
elif R <= Dw[3]:
CC = (C[3]-C[2])/(Dw[3]-Dw[2])
DD = Dw[2]/2.
Q = C[2]
elif R <= Dw[4]:
CC = (C[4]-C[3])/(Dw[4]-Dw[3])
DD = Dw[3]/2.
Q = C[3]
f = (4./3.)*theta*CC*(R2**3-R1**3)+theta*(-2*CC*DD+Q)*(R2**2-R1**2)
return f
def GaussianAverage(max, mu, sigma, p1, p2):
"""
Computes the average value of the standard normal distribution on the interval [p1, p2]
:param max: max value (peak) of the gaussian normal distribution
:param mu: mean of the standard normal distribution
:param sigma: standard distribution of the standard normal distribution
:param p1: first point of the interval of interest
:param p2: second point of the interval of interest
:return: average value of the standard normal distribution on given interval
"""
val1 = 0.5*max*np.sqrt(2.*np.pi)*sigma*sp.special.erf(0.5*np.sqrt(2.)*(p1-mu)/sigma)
val2 = 0.5*max*np.sqrt(2.*np.pi)*sigma*sp.special.erf(0.5*np.sqrt(2.)*(p2-mu)/sigma)
average = (val2-val1)/(p2-p1)
return average
def GaussianMax(x, max, mu, sigma):
"""
Computes the average value of the standard normal distribution on the interval [p1, p2]
:param max: max value (peak) of the gaussian normal distribution
:param mu: mean of the standard normal distribution
:param sigma: standard distribution of the standard normal distribution
:param p1: first point of the interval of interest
:param p2: second point of the interval of interest
:return: average value of the standard normal distribution on given interval
"""
f = max*np.exp((-(x-mu)**2)/(2.*sigma**2))
return f
if __name__ == "__main__":
nTurbines = 2
nDirections = 1
rotorDiameter = 126.4
rotorArea = np.pi*rotorDiameter*rotorDiameter/4.0
axialInduction = 1.0/3.0
CP = 0.7737/0.944 * 4.0 * 1.0/3.0 * np.power((1 - 1.0/3.0), 2)
CP =0.768 * 4.0 * 1.0/3.0 * np.power((1 - 1.0/3.0), 2)
CT = 4.0*axialInduction*(1.0-axialInduction)
generator_efficiency = 0.944
# Define turbine characteristics
axialInduction = np.array([axialInduction, axialInduction])
rotorDiameter = np.array([rotorDiameter, rotorDiameter])
# rotorDiameter = np.array([rotorDiameter, 0.0001*rotorDiameter])
yaw = np.array([0., 0.])
# Define site measurements
wind_direction = 30.
wind_speed = 8. # m/s
air_density = 1.1716
Ct = np.array([CT, CT])
Cp = np.array([CP, CP])
ICOWESdata = loadmat('../../data/YawPosResults.mat')
yawrange = ICOWESdata['yaw'][0]
FLORISpower = list()
# FLORISpowerStat = list()
# FLORISpowerLES = list()
FLORISpowerGAZ = list()
FLORISpowerGAR = list()
FLORISpowerGARZ = list()
FLORISpowerGH = list()
FLORISpowerCos = list()
FLORISgradient = list()
FLORISvelocity = list()
# FLORISvelocityStat = list()
# FLORISvelocityLES = list()
FLORISvelocityGAZ = list()
FLORISvelocityGAR = list()
FLORISvelocityGARZ = list()
FLORISvelocityGH = list()
FLORISvelocityCos = list()
for yaw1 in yawrange:
# Defube turbine locations and orientation
turbineX = np.array([1118.1, 1881.9])
turbineY = np.array([1279.5, 1720.5])
# print np.sqrt((turbineY[0]-turbineY[1])**2+(turbineX[0]-turbineX[1])**2)/rotorDiameter[0] # print downwind distance
yaw = np.array([yaw1, 0.0])
# positions = np.transpose(np.array([turbineX, turbineY]))
# print positions
# velocitiesTurbines_stat, wt_power_stat, power_stat, ws_array_stat = FLORIS_Stat(wind_speed, wind_direction,
# air_density, rotorDiameter,
# yaw, Cp, axialInduction,
# turbineX, turbineY)
t1 = time.time()
for i in range(0, 1):
# velocitiesTurbines_LES, wt_power_LES, power_LES = FLORIS_LinearizedExactSector(wind_speed, wind_direction,
# air_density, rotorDiameter,
# yaw, Cp, axialInduction,
# turbineX, turbineY)
velocitiesTurbines_GAZ, wt_power_GAZ, power_GAZ, ws_array_GAZ = FLORIS_GaussianAveZones(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY)
t2 = time.time()
# print 'time LES: ', t2-t1
print 'time GAZ: ', t2-t1
t1 = time.time()
for i in range(0, 1):
velocitiesTurbines_GARZ, wt_power_GARZ, power_GARZ, ws_array_GARZ = FLORIS_GaussianAveRotorZones(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY)
t2 = time.time()
# print 'time LES: ', t2-t1
print 'time GARZ: ', t2-t1
t1 = time.time()
for i in range(0, 1):
velocitiesTurbines_GAR, wt_power_GAR, power_GAR, ws_array_GAR = FLORIS_GaussianAveRotor(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY)
t2 = time.time()
print 'time GAR: ', t2-t1
t1 = time.time()
for i in range(0, 1):
velocitiesTurbines_GH, wt_power_GH, power_GH, ws_array_GH = FLORIS_GaussianHub(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY)
t2 = time.time()
print 'time GH: ', t2-t1
t1 = time.time()
for i in range(0, 1):
velocitiesTurbines_Cos, wt_power_Cos, power_Cos, ws_array_Cos = FLORIS_Cos(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY)
t2 = time.time()
print 'time Cos: ', t2-t1
t1 = time.time()
for i in range(0, 1):
velocitiesTurbines, wt_power, power, ws_array = FLORIS(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
t2 = time.time()
print 'time original: ', t2-t1
FLORISpower.append(list(wt_power))
# FLORISpowerStat.append(list(wt_power_stat))
# FLORISpowerLES.append(list(wt_power_LES))
FLORISpowerGAZ.append(list(wt_power_GAZ))
FLORISpowerGAR.append(list(wt_power_GAR))
FLORISpowerGARZ.append(list(wt_power_GARZ))
FLORISpowerGH.append(list(wt_power_GH))
FLORISpowerCos.append(list(wt_power_Cos))
FLORISpower = np.array(FLORISpower)
# FLORISpowerStat = np.array(FLORISpowerStat)
# FLORISpowerLES = np.array(FLORISpowerLES)
FLORISpowerGAZ = np.array(FLORISpowerGAZ)
FLORISpowerGAR = np.array(FLORISpowerGAR)
FLORISpowerGARZ = np.array(FLORISpowerGARZ)
FLORISpowerGH = np.array(FLORISpowerGH)
FLORISpowerCos = np.array(FLORISpowerCos)
SOWFApower = np.array([ICOWESdata['yawPowerT1'][0],ICOWESdata['yawPowerT2'][0]]).transpose()/1000.
fig, axes = plt.subplots(ncols=2, nrows=2, sharey=False)
axes[0, 0].plot(yawrange.transpose(), FLORISpower[:, 0], 'b', yawrange.transpose(), SOWFApower[:, 0], 'bo')
axes[0, 0].plot(yawrange.transpose(), FLORISpower[:, 1], 'b', yawrange.transpose(), SOWFApower[:, 1], 'bo')
axes[0, 0].plot(yawrange.transpose(), FLORISpower[:, 0]+FLORISpower[:, 1], 'k-', yawrange.transpose(), SOWFApower[:, 0]
+ SOWFApower[:, 1], 'ko')
# axes[0].plot(yawrange, FLORISpowerStat[:, 1], 'g-')
# axes[0].plot(yawrange, FLORISpowerLES[:, 1], 'c-')
# axes[0, 0].plot(yawrange, FLORISpowerGAZ[:, 1], 'm-')
# axes[0, 0].plot(yawrange, FLORISpowerGAR[:, 1], 'c-')
# axes[0, 0].plot(yawrange, FLORISpowerGARZ[:, 1], 'g-')
axes[0, 0].plot(yawrange, FLORISpowerGH[:, 1], 'y-')
axes[0, 0].plot(yawrange, FLORISpowerCos[:, 1], 'r')
axes[0, 0].set_xlabel('yaw angle (deg.)')
axes[0, 0].set_ylabel('Power (kW)')
error_turbine2 = np.sum(np.abs(FLORISpower[:, 1] - SOWFApower[:, 1]))
posrange = ICOWESdata['pos'][0]
yaw = np.array([0.0, 0.0])
FLORISpower = list()
# FLORISpowerStat = list()
# FLORISpowerLES = list()
FLORISpowerGAZ = list()
FLORISpowerGAR = list()
FLORISpowerGARZ = list()
FLORISpowerGH = list()
FLORISpowerCos = list()
for pos2 in posrange:
# Define turbine locations and orientation
effUdXY = 0.523599
Xinit = np.array([1118.1, 1881.9])
Yinit = np.array([1279.5, 1720.5])
XY = np.array([Xinit, Yinit]) + np.dot(np.array([[np.cos(effUdXY), -np.sin(effUdXY)],
[np.sin(effUdXY), np.cos(effUdXY)]]),
np.array([[0., 0], [0, pos2]]))
turbineX = XY[0, :]
turbineY = XY[1, :]
# print 'y pos:', turbineX, turbineY
yaw = np.array([0.0, 0.0])
# velocitiesTurbines_stat, wt_power_stat, power_stat, ws_array_stat = FLORIS_Stat(wind_speed, wind_direction,
# air_density, rotorDiameter,
# yaw, Cp, axialInduction,
# turbineX, turbineY)
# velocitiesTurbines_LES, wt_power_LES, power_LES = FLORIS_LinearizedExactSector(wind_speed, wind_direction,
# air_density, rotorDiameter,
# yaw, Cp, axialInduction,
# turbineX, turbineY)
velocitiesTurbines_GAZ, wt_power_GAZ, power_GAZ, ws_array_GAZ = FLORIS_GaussianAveZones(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines_GARZ, wt_power_GARZ, power_GARZ, ws_array_GARZ = FLORIS_GaussianAveRotorZones(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines_GAR, wt_power_GAR, power_GAR, ws_array_GAR = FLORIS_GaussianAveRotor(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines_GH, wt_power_GH, power_GH, ws_array_GH = FLORIS_GaussianHub(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines_Cos, wt_power_Cos, power_Cos, ws_array_Cos = FLORIS_Cos(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines, wt_power, power, ws_array = FLORIS(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
# print 'power = ', myFloris.root.dir0.unknowns['wt_power']
FLORISpower.append(list(wt_power))
# FLORISpowerStat.append(list(wt_power_stat))
FLORISpowerGAZ.append(list(wt_power_GAZ))
FLORISpowerGAR.append(list(wt_power_GAR))
FLORISpowerGARZ.append(list(wt_power_GARZ))
FLORISpowerGH.append(list(wt_power_GH))
FLORISpowerCos.append(list(wt_power_Cos))
FLORISpower = np.array(FLORISpower)
# FLORISpowerStat = np.array(FLORISpowerStat)
# FLORISpowerLES = np.array(FLORISpowerLES)
FLORISpowerGAZ = np.array(FLORISpowerGAZ)
FLORISpowerGAR = np.array(FLORISpowerGAR)
FLORISpowerGARZ = np.array(FLORISpowerGARZ)
FLORISpowerGH = np.array(FLORISpowerGH)
FLORISpowerCos = np.array(FLORISpowerCos)
SOWFApower = np.array([ICOWESdata['posPowerT1'][0], ICOWESdata['posPowerT2'][0]]).transpose()/1000.
error_turbine2 += np.sum(np.abs(FLORISpower[:, 1] - SOWFApower[:,1]))
# print error_turbine2
axes[0, 1].plot(posrange/rotorDiameter[0], FLORISpower[:, 0], 'b', posrange/rotorDiameter[0], SOWFApower[:, 0], 'bo')
axes[0, 1].plot(posrange/rotorDiameter[0], FLORISpower[:, 1], 'b', posrange/rotorDiameter[0], SOWFApower[:, 1], 'bo')
axes[0, 1].plot(posrange/rotorDiameter[0], FLORISpower[:, 0]+FLORISpower[:, 1], 'k-', posrange/rotorDiameter[0], SOWFApower[:, 0]+SOWFApower[:, 1], 'ko')
# axes[1].plot(posrange, FLORISpowerStat[:, 1], 'g-')
# axes[1].plot(posrange/rotorDiameter[0], FLORISpowerLES[:, 1], 'c-')
# axes[0, 1].plot(posrange/rotorDiameter[0], FLORISpowerGAZ[:, 1], 'm-')
# axes[0, 1].plot(posrange/rotorDiameter[0], FLORISpowerGAR[:, 1], 'c-')
# axes[0, 1].plot(posrange/rotorDiameter[0], FLORISpowerGARZ[:, 1], 'g-')
axes[0, 1].plot(posrange/rotorDiameter[0], FLORISpowerGH[:, 1], 'y-')
axes[0, 1].plot(posrange/rotorDiameter[0], FLORISpowerCos[:, 1], 'r')
axes[0, 1].set_xlabel('y/D')
axes[0, 1].set_ylabel('Power (kW)')
posrange = np.linspace(-3.*rotorDiameter[0], 3.*rotorDiameter[0], num=1000)
yaw = np.array([0.0, 0.0])
wind_direction = 0.0
FLORISvelocity = list()
# FLORISvelocityStat = list()
FLORISvelocityLES = list()
for pos2 in posrange:
turbineX = np.array([0, 7.*rotorDiameter[0]])
turbineY = np.array([0, pos2])
# print turbineX, turbineY
# velocitiesTurbines_stat, wt_power_stat, power_stat, ws_array_stat = FLORIS_Stat(wind_speed, wind_direction,
# air_density, rotorDiameter,
# yaw, Cp, axialInduction,
# turbineX, turbineY)
# velocitiesTurbines_LES, wt_power_LES, power_LES = FLORIS_LinearizedExactSector(wind_speed, wind_direction,
# air_density, rotorDiameter,
# yaw, Cp, axialInduction,
# turbineX, turbineY)
velocitiesTurbines_GAZ, wt_power_GAZ, power_GAZ, ws_array_GAZ = FLORIS_GaussianAveZones(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines_GAR, wt_power_GAR, power_GAR, ws_array_GAR = FLORIS_GaussianAveRotor(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines_GARZ, wt_power_GARZ, power_GARZ, ws_array_GARZ = FLORIS_GaussianAveRotorZones(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines_GH, wt_power_GH, power_GH, ws_array_GH = FLORIS_GaussianHub(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines_Cos, wt_power_Cos, power_Cos, ws_array_Cos = FLORIS_Cos(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines, wt_power, power, ws_array = FLORIS(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
# print 'power = ', myFloris.root.dir0.unknowns['wt_power']
FLORISvelocity.append(list(velocitiesTurbines))
# FLORISvelocityStat.append(list(velocitiesTurbines_stat))
# FLORISvelocityLES.append(list(velocitiesTurbines_LES))
FLORISvelocityGAZ.append(list(velocitiesTurbines_GAZ))
FLORISvelocityGAR.append(list(velocitiesTurbines_GAR))
FLORISvelocityGARZ.append(list(velocitiesTurbines_GARZ))
FLORISvelocityGH.append(list(velocitiesTurbines_GH))
FLORISvelocityCos.append(list(velocitiesTurbines_Cos))
FLORISvelocity = np.array(FLORISvelocity)
# FLORISvelocityStat = np.array(FLORISvelocityStat)
# FLORISvelocityLES = np.array(FLORISvelocityLES)
FLORISvelocityGAZ = np.array(FLORISvelocityGAZ)
FLORISvelocityGAR = np.array(FLORISvelocityGAR)
FLORISvelocityGARZ = np.array(FLORISvelocityGARZ)
FLORISvelocityGH = np.array(FLORISvelocityGH)
FLORISvelocityCos = np.array(FLORISvelocityCos)
axes[1, 0].plot(posrange/rotorDiameter[0], FLORISvelocity[:, 1], 'b', label='Floris Original')
# axes[2].plot(posrange, FLORISvelocityStat[:, 1], 'g', label='added gaussian')
# axes[2].plot(posrange/rotorDiameter[0], FLORISvelocityLES[:, 1], 'c', label='Linear Exact Sector')
# axes[1, 0].plot(posrange/rotorDiameter[0], FLORISvelocityGAZ[:, 1], 'm', label='GAZ')
# axes[1, 0].plot(posrange/rotorDiameter[0], FLORISvelocityGAR[:, 1], 'c', label='GAR')
# axes[1, 0].plot(posrange/rotorDiameter[0], FLORISvelocityGARZ[:, 1], 'g', label='GARZ')
axes[1, 0].plot(posrange/rotorDiameter[0], FLORISvelocityGH[:, 1], 'y', label='GH')
axes[1, 0].plot(posrange/rotorDiameter[0], FLORISvelocityCos[:, 1], 'r', label='Cos')
axes[1, 0].set_xlabel('y/D')
axes[1, 0].set_ylabel('Velocity (m/s)')
# plt.legend()
# plt.show()
posrange = np.linspace(-1.*rotorDiameter[0], 30.*rotorDiameter[0], num=2000)
yaw = np.array([0.0, 0.0])
wind_direction = 0.0
FLORISvelocity = list()
# FLORISvelocityStat = list()
FLORISvelocity = list()
# FLORISvelocityStat = list()
# FLORISvelocityLES = list()
FLORISvelocityGAZ = list()
FLORISvelocityGAR = list()
FLORISvelocityGARZ = list()
FLORISvelocityGH = list()
FLORISvelocityCos = list()
for pos2 in posrange:
turbineX = np.array([0, pos2])
turbineY = np.array([0, 0])
# print turbineX, turbineY
# velocitiesTurbines_stat, wt_power_stat, power_stat, ws_array_stat = FLORIS_Stat(wind_speed, wind_direction,
# air_density, rotorDiameter,
# yaw, Cp, axialInduction,
# turbineX, turbineY)
# velocitiesTurbines_LES, wt_power_LES, power_LES = FLORIS_LinearizedExactSector(wind_speed, wind_direction,
# air_density, rotorDiameter,
# yaw, Cp, axialInduction,
# turbineX, turbineY)
velocitiesTurbines_GAZ, wt_power_GAZ, power_GAZ, ws_array_GAZ = FLORIS_GaussianAveZones(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines_GAR, wt_power_GAR, power_GAR, ws_array_GAR = FLORIS_GaussianAveRotor(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines_GARZ, wt_power_GARZ, power_GARZ, ws_array_GARZ = FLORIS_GaussianAveRotorZones(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines_GH, wt_power_GH, power_GH, ws_array_GH = FLORIS_GaussianHub(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines_Cos, wt_power_Cos, power_Cos, ws_array_Cos = FLORIS_Cos(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
velocitiesTurbines, wt_power, power, ws_array = FLORIS(wind_speed, wind_direction, air_density, rotorDiameter,
yaw, Cp, axialInduction, turbineX, turbineY,)
# print 'power = ', myFloris.root.dir0.unknowns['wt_power']
FLORISvelocity.append(list(velocitiesTurbines))
# FLORISvelocityStat.append(list(velocitiesTurbines_stat))
# FLORISvelocityLES.append(list(velocitiesTurbines_LES))
FLORISvelocityGAZ.append(list(velocitiesTurbines_GAZ))
FLORISvelocityGAR.append(list(velocitiesTurbines_GAR))
FLORISvelocityGARZ.append(list(velocitiesTurbines_GARZ))
FLORISvelocityGH.append(list(velocitiesTurbines_GH))
FLORISvelocityCos.append(list(velocitiesTurbines_Cos))
FLORISvelocity = np.array(FLORISvelocity)
# FLORISvelocityStat = np.array(FLORISvelocityStat)
# FLORISvelocityLES = np.array(FLORISvelocityLES)
FLORISvelocityGAZ = np.array(FLORISvelocityGAZ)
FLORISvelocityGAR = np.array(FLORISvelocityGAR)
FLORISvelocityGARZ = np.array(FLORISvelocityGARZ)
FLORISvelocityGH = np.array(FLORISvelocityGH)
FLORISvelocityCos = np.array(FLORISvelocityCos)
axes[1, 1].plot(posrange/rotorDiameter[0], FLORISvelocity[:, 1], 'b', label='Floris Original')
# axes[2].plot(posrange, FLORISvelocityStat[:, 1], 'g', label='added gaussian')
# axes[2].plot(posrange/rotorDiameter[0], FLORISvelocityLES[:, 1], 'c', label='Linear Exact Sector')
# axes[1, 1].plot(posrange/rotorDiameter[0], FLORISvelocityGAZ[:, 1], 'm', label='GAZ')
# axes[1, 1].plot(posrange/rotorDiameter[0], FLORISvelocityGAR[:, 1], 'c', label='GAR')
# axes[1, 1].plot(posrange/rotorDiameter[0], FLORISvelocityGARZ[:, 1], 'g', label='GARZ')
axes[1, 1].plot(posrange/rotorDiameter[0], FLORISvelocityGH[:, 1], 'y', label='GH')
axes[1, 1].plot(posrange/rotorDiameter[0], FLORISvelocityCos[:, 1], 'r', label='Cos')
axes[1, 1].plot(np.array([7, 7]), np.array([2, 8]), '--k', label='tuning point')
print min(FLORISvelocity[:, 1])
plt.xlabel('x/D')
plt.ylabel('Velocity (m/s)')
plt.legend(loc=4)
plt.show()
| 49.064516 | 254 | 0.598957 | 13,112 | 109,512 | 4.962477 | 0.038438 | 0.02545 | 0.015369 | 0.019856 | 0.93619 | 0.919392 | 0.911969 | 0.904915 | 0.898537 | 0.892343 | 0 | 0.041578 | 0.275258 | 109,512 | 2,231 | 255 | 49.086508 | 0.778248 | 0.264419 | 0 | 0.820411 | 0 | 0 | 0.005255 | 0.000371 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.003956 | null | null | 0.005538 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
660a2389fcc798afc00c54e787d804b973a1cf85 | 224,694 | py | Python | test/unit/test_proxyquery.py | joyrahman/zerocloud | d4f25b9cfe6d5103e851c4a300fe73508a991e63 | [
"Apache-2.0"
] | 25 | 2015-01-12T01:53:40.000Z | 2021-06-13T12:01:25.000Z | test/unit/test_proxyquery.py | joyrahman/zerocloud | d4f25b9cfe6d5103e851c4a300fe73508a991e63 | [
"Apache-2.0"
] | 7 | 2015-01-05T13:15:04.000Z | 2015-04-08T13:11:36.000Z | test/unit/test_proxyquery.py | joyrahman/zerocloud | d4f25b9cfe6d5103e851c4a300fe73508a991e63 | [
"Apache-2.0"
] | 7 | 2015-03-26T16:28:16.000Z | 2018-11-12T18:34:50.000Z | from __future__ import with_statement
from StringIO import StringIO
import json
import logging
import re
import struct
from eventlet.green import socket
import tarfile
import datetime
import random
from urllib import urlencode
import mock
import sys
import swift
import unittest
import os
import cPickle as pickle
from time import time
from swift.common.middleware import proxy_logging
from swift.common.memcached import MemcacheConnectionError
from swift.common.swob import Request, HTTPUnauthorized, HTTPForbidden
from hashlib import md5
from tempfile import mkstemp, mkdtemp
from shutil import rmtree
from eventlet import sleep, spawn, wsgi, listen, GreenPool
from gzip import GzipFile
from contextlib import contextmanager
from swift.proxy import server as proxy_server
from swift.account import server as account_server
from swift.container import server as container_server
from swift.obj import server as object_server
from swift.common.utils import mkdirs, normalize_timestamp, NullLogger, \
hash_path
from swift.common import utils
from swift.common import storage_policy
from swift.common.storage_policy import StoragePolicy, \
StoragePolicyCollection, POLICIES
from zerocloud import proxyquery, objectquery, chain
from test.unit import connect_tcp, readuntil2crlfs, fake_http_connect, trim, \
debug_logger, FakeMemcache, write_fake_ring, FakeRing
from zerocloud.common import CLUSTER_CONFIG_FILENAME
from zerocloud.common import NODE_CONFIG_FILENAME
from zerocloud.common import SwiftPath
from zerocloud.configparser import ClusterConfigParser, \
ClusterConfigParsingError
ZEROVM_DEFAULT_MOCK = 'test/unit/zerovm_mock.py'
logging.getLogger().addHandler(logging.StreamHandler(sys.stdout))
STATIC_TIME = time()
_test_coros = _test_servers = _test_sockets = _orig_container_listing_limit = \
_testdir = _orig_SysLogHandler = _orig_POLICIES = _test_POLICIES = None
_pqm = None
class FakeMemcacheReturnsNone(FakeMemcache):
def get(self, key):
# Returns None as the timestamp of the container; assumes we're only
# using the FakeMemcache for container existence checks.
return None
class FakeMemcache(object):
def __init__(self):
self.store = {}
self.error_on_incr = False
self.init_incr_return_neg = False
self.call = {'get': 0, 'set': 0}
def get(self, key):
self.call['get'] += 1
return self.store.get(key)
def set(self, key, value, serialize=False, time=0):
self.call['set'] += 1
self.store[key] = value
return True
def incr(self, key, delta=1, time=0):
if self.error_on_incr:
raise MemcacheConnectionError('Memcache restarting')
if self.init_incr_return_neg:
# simulate initial hit, force reset of memcache
self.init_incr_return_neg = False
return -10000000
self.store[key] = int(self.store.setdefault(key, 0)) + int(delta)
if self.store[key] < 0:
self.store[key] = 0
return int(self.store[key])
def decr(self, key, delta=1, time=0):
return self.incr(key, delta=-delta, time=time)
@contextmanager
def soft_lock(self, key, timeout=0, retries=5):
yield True
def delete(self, key):
try:
del self.store[key]
except Exception:
pass
return True
class Utils(object):
def create_container(self, prolis, url, auto_account=False):
sock = connect_tcp(('localhost', prolis.getsockname()[1]))
fd = sock.makefile()
fd.write('PUT %s HTTP/1.1\r\nHost: localhost\r\n'
'Connection: close\r\nX-Storage-Token: t\r\n'
'Content-Length: 0\r\n'
'\r\n' % url)
fd.flush()
headers = readuntil2crlfs(fd)
exp1 = 'HTTP/1.1 201'
exp2 = 'HTTP/1.1 202'
status = headers[:len(exp1)]
self.assert_(exp1 in status or exp2 in status)
def create_object(self, prolis, url, obj,
content_type='application/octet-stream'):
sock = connect_tcp(('localhost', prolis.getsockname()[1]))
fd = sock.makefile()
fd.write('PUT %s HTTP/1.1\r\n'
'Host: localhost\r\n'
'Connection: close\r\n'
'X-Storage-Token: t\r\n'
'Content-Length: %s\r\n'
'Content-Type: %s\r\n'
'\r\n%s' % (url, str(len(obj)), content_type, obj))
fd.flush()
headers = readuntil2crlfs(fd)
exp = 'HTTP/1.1 201'
self.assertEqual(headers[:len(exp)], exp)
def get_random_numbers(self, min_num=0, max_num=10, proto='pickle'):
numlist = [i for i in range(min_num, max_num)]
count = max_num - min_num
if count < 0:
raise
for i in range(count):
randindex1 = random.randrange(count)
randindex2 = random.randrange(count)
numlist[randindex1], numlist[randindex2] =\
numlist[randindex2], numlist[randindex1]
if proto == 'binary':
return struct.pack('%sI' % len(numlist), *numlist)
else:
return pickle.dumps(numlist, protocol=0)
def get_sorted_numbers(self, min_num=0, max_num=10, proto='pickle'):
numlist = [i for i in range(min_num, max_num)]
if proto == 'binary':
return struct.pack('%sI' % len(numlist), *numlist)
else:
return pickle.dumps(numlist, protocol=0)
def authorize(self, req):
_junk, account, container, obj = req.split_path(1, 4, True)
perm = 'Denied'
if not req.remote_user:
who = 'Anonymous'
if req.acl == '.r:*':
perm = 'Allowed'
elif req.remote_user == self.users[account]:
who = 'Owner'
perm = 'Allowed'
else:
who = req.remote_user
if req.acl == req.remote_user:
perm = 'Allowed'
what = SwiftPath.create_url(account, container, obj)
ver = req.headers.get('x-zerovm-execute', 'v1')
self.actions.append('%s %s to %s %s with %s' % (perm, who, req.method,
what, ver))
if perm == 'Denied':
return HTTPForbidden(request=req)
def setup_QUERY(self, mock=None):
def set_zerovm_mock():
(_prosrv, _acc1srv, _acc2srv, _con1srv,
_con2srv, _obj1srv, _obj2srv) = _test_servers
zerovm_mock = ZEROVM_DEFAULT_MOCK
if mock:
fd, zerovm_mock = mkstemp()
os.write(fd, mock)
os.close(fd)
self.zerovm_mock = zerovm_mock
_obj1srv.zerovm_exename = ['python', zerovm_mock]
_obj2srv.zerovm_exename = ['python', zerovm_mock]
_con1srv.zerovm_exename = ['python', zerovm_mock]
_con2srv.zerovm_exename = ['python', zerovm_mock]
self._randomnumbers = self.get_random_numbers()
self._nexescript = ('return pickle.dumps(sorted(id))')
self._nexescript_etag = md5()
self._nexescript_etag.update(self._nexescript)
self._nexescript_etag = self._nexescript_etag.hexdigest()
set_zerovm_mock()
(prolis, acc1lis, acc2lis, con1lis, con2lis, obj1lis, obj2lis) = \
_test_sockets
self.create_container(prolis, '/v1/a/c')
self.create_container(prolis, '/v1/a/c_in1')
self.create_container(prolis, '/v1/a/c_in2')
self.create_container(prolis, '/v1/a/c_out1')
self.create_container(prolis, '/v1/a/c_out2')
self.create_container(prolis, '/v1/a/auth')
self.create_container(prolis, '/v1/a/auth1')
self.create_container(prolis, '/v1/a1/auth')
self.create_container(prolis, '/v1/a1/auth1')
self.create_object(prolis, '/v1/a/c/o', self._randomnumbers)
self.create_object(prolis, '/v1/a/c/exe', self._nexescript)
self.create_object(prolis, '/v1/a/c_in1/input1',
self.get_random_numbers(0, 10))
self.create_object(prolis, '/v1/a/c_in1/input2',
self.get_random_numbers(10, 20))
self.create_object(prolis, '/v1/a/c_in1/junk', 'junk')
self.create_object(prolis, '/v1/a/c_in2/input1',
self.get_random_numbers(20, 30))
self.create_object(prolis, '/v1/a/c_in2/input2',
self.get_random_numbers(30, 40))
self.create_object(prolis, '/v1/a/c_in2/junk', 'junk')
self.create_container(prolis, '/v1/userstats/a')
def zerovm_request(self, user=None):
req = Request.blank('/v1/a',
environ={'REQUEST_METHOD': 'POST'},
headers={'Content-Type': 'application/json',
'x-zerovm-execute': '1.0'})
if user:
self.add_auth_data(req, user)
return req
def zerovm_tar_request(self, user=None):
req = Request.blank('/v1/a',
environ={'REQUEST_METHOD': 'POST'},
headers={'Content-Type': 'application/x-gtar',
'x-zerovm-execute': '1.0'})
if user:
self.add_auth_data(req, user)
return req
def object_request(self, path):
req = Request.blank(path,
environ={'REQUEST_METHOD': 'GET'},
headers={
'Content-Type': 'application/octet-stream'})
return req
@contextmanager
def create_tar(self, filelist):
tarfd, tarname = mkstemp()
os.close(tarfd)
tar = tarfile.open(name=tarname, mode='w')
sysmap = None
for name, fd in filelist.iteritems():
if name in [CLUSTER_CONFIG_FILENAME, NODE_CONFIG_FILENAME]:
info = tarfile.TarInfo(name)
fd.seek(0, os.SEEK_END)
size = fd.tell()
info.size = size
fd.seek(0, os.SEEK_SET)
tar.addfile(info, fd)
sysmap = name
break
if sysmap:
del filelist[sysmap]
for name, fd in filelist.iteritems():
info = tarfile.TarInfo(name)
fd.seek(0, os.SEEK_END)
size = fd.tell()
info.size = size
fd.seek(0, os.SEEK_SET)
tar.addfile(info, fd)
tar.close()
try:
yield tarname
finally:
try:
os.unlink(tarname)
except OSError:
pass
@contextmanager
def create_gzip(self, fname):
gzfd, gzname = mkstemp()
os.close(gzfd)
gz = GzipFile(gzname, mode='wb')
fd = open(fname, 'rb')
gz.write(fd.read())
gz.close()
try:
yield gzname
finally:
try:
os.unlink(gzname)
except OSError:
pass
@contextmanager
def add_sysimage_device(self, sysimage_path, name='sysimage1'):
_con1srv = _test_servers[3]
_con2srv = _test_servers[4]
_obj1srv = _test_servers[5]
_obj2srv = _test_servers[6]
zerovm_sysimage_devices = _pqm.zerovm_sysimage_devices
zerovm_sysimage_devices1 = _obj1srv.parser.sysimage_devices
zerovm_sysimage_devices2 = _obj2srv.parser.sysimage_devices
zerovm_sysimage_devices3 = _con1srv.parser.sysimage_devices
zerovm_sysimage_devices4 = _con2srv.parser.sysimage_devices
_pqm.zerovm_sysimage_devices = {name: None}
_con1srv.parser.sysimage_devices = {name: sysimage_path}
_con2srv.parser.sysimage_devices = {name: sysimage_path}
_obj1srv.parser.sysimage_devices = {name: sysimage_path}
_obj2srv.parser.sysimage_devices = {name: sysimage_path}
try:
yield True
finally:
_pqm.zerovm_sysimage_devices = zerovm_sysimage_devices
_obj1srv.parser.sysimage_devices = zerovm_sysimage_devices1
_obj2srv.parser.sysimage_devices = zerovm_sysimage_devices2
_con1srv.parser.sysimage_devices = zerovm_sysimage_devices3
_con2srv.parser.sysimage_devices = zerovm_sysimage_devices4
try:
os.unlink(sysimage_path)
except IOError:
pass
def executed_successfully(self, response):
self.assertEqual(response.status_int, 200)
for status in response.headers['x-nexe-status'].split(','):
self.assertEqual(status, 'ok.')
self.assertNotIn('x-nexe-error', response.headers)
def check_container_integrity(self, srv, url, objdict):
req = Request.blank('%s?format=json' % url)
res = req.get_response(srv)
filelist = json.loads(res.body)
for f in filelist:
req = self.object_request('%s/%s' % (url, f['name']))
res = req.get_response(srv)
self.assertEqual(res.status_int, 200)
obj = objdict.get(f['name'])
if obj:
self.assertEqual(res.body, obj)
del objdict[f['name']]
file_ts = float(res.headers['x-timestamp'])
file_ts = datetime.datetime.utcfromtimestamp(file_ts)
file_ts = file_ts.strftime('%Y-%m-%dT%H:%M:%S.%f')
cont_ts = f['last_modified']
self.assertEqual(file_ts, cont_ts)
self.assertEqual(str(f['bytes']), res.headers['content-length'])
self.assertEqual(f['hash'], res.headers['etag'])
if res.app_iter:
for _ in res.app_iter:
pass
self.assertEqual(len(objdict), 0)
def add_auth_data(self, req, user):
req.environ['swift.authorize'] = self.authorize
# if user == 'anon':
if user == 'Anonymous':
req.remote_user = None
else:
req.remote_user = user
def do_setup(the_object_server):
utils.HASH_PATH_SUFFIX = 'endcap'
global _testdir, _test_servers, _test_sockets, \
_orig_container_listing_limit, _test_coros, _orig_SysLogHandler, \
_orig_POLICIES, _test_POLICIES, _pqm
_orig_POLICIES = storage_policy._POLICIES
_orig_SysLogHandler = utils.SysLogHandler
utils.SysLogHandler = mock.MagicMock()
# Since we're starting up a lot here, we're going to test more than
# just chunked puts; we're also going to test parts of
# proxy_server.Application we couldn't get to easily otherwise.
_testdir = \
os.path.join(mkdtemp(), 'tmp_test_proxy_server_chunked')
mkdirs(_testdir)
rmtree(_testdir)
mkdirs(os.path.join(_testdir, 'sda1'))
mkdirs(os.path.join(_testdir, 'sda1', 'tmp'))
mkdirs(os.path.join(_testdir, 'sdb1'))
mkdirs(os.path.join(_testdir, 'sdb1', 'tmp'))
conf = {'devices': _testdir, 'swift_dir': _testdir,
'mount_check': 'false',
'allowed_headers': 'content-encoding, x-object-manifest, '
'content-disposition, foo',
'disable_fallocate': 'true',
'allow_versions': 'True',
'zerovm_maxoutput': 1024 * 1024 * 10}
prolis = listen(('localhost', 0))
acc1lis = listen(('localhost', 0))
acc2lis = listen(('localhost', 0))
con1lis = listen(('localhost', 0))
con2lis = listen(('localhost', 0))
obj1lis = listen(('localhost', 0))
obj2lis = listen(('localhost', 0))
_test_sockets = \
(prolis, acc1lis, acc2lis, con1lis, con2lis, obj1lis, obj2lis)
account_ring_path = os.path.join(_testdir, 'account.ring.gz')
account_devs = [
{'port': acc1lis.getsockname()[1]},
{'port': acc2lis.getsockname()[1]},
]
write_fake_ring(account_ring_path, *account_devs)
container_ring_path = os.path.join(_testdir, 'container.ring.gz')
container_devs = [
{'port': con1lis.getsockname()[1]},
{'port': con2lis.getsockname()[1]},
]
write_fake_ring(container_ring_path, *container_devs)
storage_policy._POLICIES = StoragePolicyCollection([
StoragePolicy(0, 'zero', True),
StoragePolicy(1, 'one', False),
StoragePolicy(2, 'two', False)])
obj_rings = {
0: ('sda1', 'sdb1'),
1: ('sdc1', 'sdd1'),
2: ('sde1', 'sdf1'),
}
for policy_index, devices in obj_rings.items():
policy = POLICIES[policy_index]
dev1, dev2 = devices
obj_ring_path = os.path.join(_testdir, policy.ring_name + '.ring.gz')
obj_devs = [
{'port': obj1lis.getsockname()[1], 'device': dev1},
{'port': obj2lis.getsockname()[1], 'device': dev2},
]
write_fake_ring(obj_ring_path, *obj_devs)
prosrv = proxy_server.Application(conf, FakeMemcacheReturnsNone(),
logger=debug_logger('proxy'))
for policy in POLICIES:
# make sure all the rings are loaded
prosrv.get_object_ring(policy.idx)
# don't loose this one!
_test_POLICIES = storage_policy._POLICIES
acc1srv = account_server.AccountController(
conf, logger=debug_logger('acct1'))
acc2srv = account_server.AccountController(
conf, logger=debug_logger('acct2'))
con1srv = container_server.ContainerController(
conf, logger=debug_logger('cont1'))
con2srv = container_server.ContainerController(
conf, logger=debug_logger('cont2'))
obj1srv = the_object_server.ObjectController(
conf, logger=debug_logger('obj1'))
obj2srv = the_object_server.ObjectController(
conf, logger=debug_logger('obj2'))
pqm = proxyquery.ProxyQueryMiddleware(prosrv, conf,
logger=prosrv.logger)
cmdlwr = chain.ChainMiddleware(pqm, conf, logger=prosrv.logger)
nl = NullLogger()
logging_prosv = proxy_logging.ProxyLoggingMiddleware(cmdlwr, conf,
logger=prosrv.logger)
prospa = spawn(wsgi.server, prolis, logging_prosv, nl)
acc1spa = spawn(wsgi.server, acc1lis, acc1srv, nl)
acc2spa = spawn(wsgi.server, acc2lis, acc2srv, nl)
cqm1 = objectquery.ObjectQueryMiddleware(con1srv, conf,
logger=con1srv.logger)
cqm2 = objectquery.ObjectQueryMiddleware(con2srv, conf,
logger=con2srv.logger)
con1spa = spawn(wsgi.server, con1lis, cqm1, nl)
con2spa = spawn(wsgi.server, con2lis, cqm2, nl)
oqm1 = objectquery.ObjectQueryMiddleware(obj1srv, conf,
logger=obj1srv.logger)
oqm2 = objectquery.ObjectQueryMiddleware(obj2srv, conf,
logger=obj2srv.logger)
obj1spa = spawn(wsgi.server, obj1lis, oqm1, nl)
obj2spa = spawn(wsgi.server, obj2lis, oqm2, nl)
_test_servers = \
(logging_prosv, acc1srv, acc2srv, cqm1, cqm2, oqm1, oqm2)
_test_coros = \
(prospa, acc1spa, acc2spa, con1spa, con2spa, obj1spa, obj2spa)
_pqm = pqm
# Create accounts
ts = normalize_timestamp(time())
partition, nodes = prosrv.account_ring.get_nodes('a')
for node in nodes:
conn = swift.proxy.controllers.obj.http_connect(node['ip'],
node['port'],
node['device'],
partition, 'PUT', '/a',
{'X-Timestamp': ts,
'x-trans-id': 'test'})
resp = conn.getresponse()
assert(resp.status == 201)
ts = normalize_timestamp(time())
partition, nodes = prosrv.account_ring.get_nodes('a1')
for node in nodes:
conn = swift.proxy.controllers.obj.http_connect(node['ip'],
node['port'],
node['device'],
partition, 'PUT',
'/a1',
{'X-Timestamp': ts,
'x-trans-id': 'test'})
resp = conn.getresponse()
assert(resp.status == 201)
# Create stats account
ts = normalize_timestamp(time())
partition, nodes = prosrv.account_ring.get_nodes('userstats')
for node in nodes:
conn = swift.proxy.controllers.obj.http_connect(node['ip'],
node['port'],
node['device'],
partition, 'PUT',
'/userstats',
{'X-Timestamp': ts,
'x-trans-id': 'test'})
resp = conn.getresponse()
assert(resp.status == 201)
# Create containers, 1 per test policy
sock = connect_tcp(('localhost', prolis.getsockname()[1]))
fd = sock.makefile()
fd.write('PUT /v1/a/c HTTP/1.1\r\nHost: localhost\r\n'
'Connection: close\r\nX-Auth-Token: t\r\n'
'Content-Length: 0\r\n\r\n')
fd.flush()
headers = readuntil2crlfs(fd)
exp = 'HTTP/1.1 201'
assert headers[:len(exp)] == exp, "Expected '%s', encountered '%s'" % (
exp, headers[:len(exp)])
sock = connect_tcp(('localhost', prolis.getsockname()[1]))
fd = sock.makefile()
fd.write(
'PUT /v1/a/c1 HTTP/1.1\r\nHost: localhost\r\n'
'Connection: close\r\nX-Auth-Token: t\r\nX-Storage-Policy: one\r\n'
'Content-Length: 0\r\n\r\n')
fd.flush()
headers = readuntil2crlfs(fd)
exp = 'HTTP/1.1 201'
assert headers[:len(exp)] == exp, \
"Expected '%s', encountered '%s'" % (exp, headers[:len(exp)])
sock = connect_tcp(('localhost', prolis.getsockname()[1]))
fd = sock.makefile()
fd.write(
'PUT /v1/a/c2 HTTP/1.1\r\nHost: localhost\r\n'
'Connection: close\r\nX-Auth-Token: t\r\nX-Storage-Policy: two\r\n'
'Content-Length: 0\r\n\r\n')
fd.flush()
headers = readuntil2crlfs(fd)
exp = 'HTTP/1.1 201'
assert headers[:len(exp)] == exp, \
"Expected '%s', encountered '%s'" % (exp, headers[:len(exp)])
def setup():
do_setup(object_server)
def teardown():
for server in _test_coros:
server.kill()
rmtree(os.path.dirname(_testdir))
utils.SysLogHandler = _orig_SysLogHandler
storage_policy._POLICIES = _orig_POLICIES
@contextmanager
def save_globals():
orig_http_connect = getattr(
swift.proxy.controllers.base, 'http_connect', None)
orig_query_connect = getattr(proxyquery, 'http_connect', None)
orig_account_info = getattr(
proxy_server.ObjectController, 'account_info', None)
try:
yield True
finally:
proxy_server.http_connect = orig_http_connect
swift.proxy.controllers.base.http_connect = orig_http_connect
swift.proxy.controllers.obj.http_connect = orig_http_connect
swift.proxy.controllers.account.http_connect = orig_http_connect
swift.proxy.controllers.container.http_connect = orig_http_connect
proxy_server.ObjectController.account_info = orig_account_info
proxyquery.http_connect = orig_query_connect
class TestProxyQuery(unittest.TestCase, Utils):
def setUp(self):
self.proxy_app = \
proxy_server.Application(None, FakeMemcache(),
logger=debug_logger('proxy-ut'),
account_ring=FakeRing(),
container_ring=FakeRing())
self.pqm = proxyquery.ProxyQueryMiddleware(
self.proxy_app, {},
logger=self.proxy_app.logger,
object_ring=FakeRing(),
container_ring=FakeRing())
self.zerovm_mock = None
self.users = {'a': 'user', 'a1': 'user1'}
def tearDown(self):
if self.zerovm_mock:
os.unlink(self.zerovm_mock)
def test_QUERY_name_service(self):
peers = 3
ns_server = proxyquery.NameService(peers)
pool = GreenPool()
ns_server.start(pool)
connection_map = {}
sleep(0.1)
def mock_client(ns_port, conf, id):
bind_data = ''
connect_data = ''
bind_map = {}
connect_list = []
for h in conf[0]:
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind(('', 0))
s.listen(1)
port = s.getsockname()[1]
bind_map[h] = {'port': port, 'sock': s}
bind_data += struct.pack('!IH', h, int(port))
connection_map['%d->%d' % (h, id)] = int(port)
for h in conf[1]:
connect_list.append(h)
connect_data += struct.pack('!IH', h, 0)
request = struct.pack('!I', id) + \
struct.pack('!I', len(conf[0])) + \
struct.pack('!I', len(conf[1])) + \
bind_data + connect_data
ns = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
ns.connect(('localhost', int(ns_port)))
ns.send(request)
ns_host = ns.getpeername()[0]
ns_port = ns.getpeername()[1]
while 1:
reply, addr = ns.recvfrom(65535)
if addr[0] == ns_host and addr[1] == ns_port:
offset = 0
my_id = struct.unpack_from('!I', reply, offset)[0]
self.assertEqual(id, my_id)
offset += 4
bind_count = struct.unpack_from('!I', reply, offset)[0]
offset += 4
self.assertEqual(bind_count, len(conf[0]))
connect_count = struct.unpack_from('!I', reply, offset)[0]
offset += 4
self.assertEqual(connect_count, len(conf[1]))
offset += len(bind_data)
for i in range(connect_count):
host, port = struct.unpack_from(
'!4sH', reply, offset)[0:2]
offset += 6
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect(
(socket.inet_ntop(socket.AF_INET, host), port))
self.assertEqual(
connection_map['%d->%d' % (id, connect_list[i])],
port
)
break
sleep(0.2)
dev1 = [[2, 3], [2, 3]]
dev2 = [[1, 3], [1, 3]]
dev3 = [[2, 1], [2, 1]]
th1 = pool.spawn(mock_client, ns_server.port, dev1, 1)
th2 = pool.spawn(mock_client, ns_server.port, dev2, 2)
th3 = pool.spawn(mock_client, ns_server.port, dev3, 3)
th1.wait()
th2.wait()
th3.wait()
ns_server.stop()
def test_QUERY_sort_store_stdout(self):
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout', 'path': 'swift://a/c/o2'}
]
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_tar_request()
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
req.body_file = open(tar, 'rb')
req.content_length = os.path.getsize(tar)
res = req.get_response(prosrv)
self.executed_successfully(res)
self.check_container_integrity(prosrv,
'/v1/a/c',
{
'o2': self.get_sorted_numbers()
})
def test_sort_store_stdout_policy(self):
# store result under different policy
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout', 'path': 'swift://a/c1/o2'}
]
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
prolis = _test_sockets[0]
req = self.zerovm_tar_request()
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
req.body_file = open(tar, 'rb')
req.content_length = os.path.getsize(tar)
res = req.get_response(prosrv)
self.executed_successfully(res)
self.check_container_integrity(prosrv,
'/v1/a/c1',
{
'o2': self.get_sorted_numbers()
})
self.assertEqual(res.headers['X-Nexe-Policy'], 'zero')
# fetch executable from different policy
self.create_object(prolis, '/v1/a/c1/exe', self._nexescript)
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c1/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout', 'path': 'swift://a/c1/o2'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_tar_request()
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
req.body_file = open(tar, 'rb')
req.content_length = os.path.getsize(tar)
res = req.get_response(prosrv)
self.executed_successfully(res)
self.check_container_integrity(prosrv,
'/v1/a/c1',
{
'o2': self.get_sorted_numbers()
})
self.assertEqual(res.headers['X-Nexe-Policy'], 'zero')
# query object from different policy
self.create_object(prolis, '/v1/a/c1/o', self._randomnumbers)
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c1/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c1/o'},
{'device': 'stdout', 'path': 'swift://a/c/o3'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_tar_request()
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
req.body_file = open(tar, 'rb')
req.content_length = os.path.getsize(tar)
res = req.get_response(prosrv)
self.executed_successfully(res)
self.check_container_integrity(prosrv,
'/v1/a/c',
{
'o3': self.get_sorted_numbers()
})
# is executed under different policy now
self.assertEqual(res.headers['X-Nexe-Policy'], 'one')
def test_gzipped_tar(self):
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout', 'path': 'swift://a/c/o2'}
]
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_tar_request()
req.headers['content-type'] = 'application/x-gzip'
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
with self.create_gzip(tar) as gzname:
req.body_file = open(gzname, 'rb')
req.content_length = os.path.getsize(gzname)
res = req.get_response(prosrv)
self.executed_successfully(res)
self.check_container_integrity(
prosrv,
'/v1/a/c',
{'o2': self.get_sorted_numbers()}
)
def test_QUERY_sort_store_stdout_stderr(self):
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout', 'path': 'swift://a/c/o2'},
{'device': 'stderr', 'path': 'swift://a/c/o3'}
]
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.headers['x-nexe-status'], 'ok.')
self.assertEqual(res.headers['x-nexe-system'], 'sort')
self.assertEqual(res.headers['x-nexe-retcode'], '0')
self.check_container_integrity(prosrv,
'/v1/a/c',
{
'o2': self.get_sorted_numbers(),
'o3': '\nfinished\n'
})
def test_QUERY_immediate_stdout(self):
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'}
]
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.content_type, 'text/html')
self.assertEqual(res.body, self.get_sorted_numbers())
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout',
'content_type': 'application/x-pickle'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.content_type, 'application/x-pickle')
self.assertEqual(res.body, self.get_sorted_numbers())
self.check_container_integrity(prosrv, '/v1/a/c', {})
def test_QUERY_store_meta(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
return 'Test Test'
''')
self.create_object(prolis, '/v1/a/c/exe2', nexe)
conf = [
{
'name': 'http',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{
'device': 'stdout', 'content_type': 'text/plain',
'meta': {'key1': 'test1', 'key2': 'test2'},
'path': 'swift://a/c/o3'
}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
req = self.object_request('/v1/a/c/o3')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.headers['content-type'], 'text/plain')
self.assertEqual(res.headers['x-object-meta-key1'], 'test1')
self.assertEqual(res.headers['x-object-meta-key2'], 'test2')
self.assertEqual(res.body, 'Test Test')
self.check_container_integrity(prosrv, '/v1/a/c', {})
def test_QUERY_hello(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
return 'hello, world'
''')
self.create_object(prolis, '/v1/a/c/hello.nexe', nexe)
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/c/hello.nexe"},
"file_list": [
{"device": "stdout"}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
self.check_container_integrity(prosrv, '/v1/a/c', {})
def test_hello_with_policy(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
return 'hello, world'
''')
self.create_object(prolis, '/v1/a/c/hello.nexe', nexe)
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/c/hello.nexe"},
"file_list": [
{"device": "stdout"}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
self.check_container_integrity(prosrv, '/v1/a/c', {})
self.assertEqual(res.headers['X-Nexe-Policy'], 'zero')
_orig_policies = _pqm.standalone_policies
try:
_pqm.standalone_policies = [1]
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
self.check_container_integrity(prosrv, '/v1/a/c', {})
self.assertEqual(res.headers['X-Nexe-Policy'], 'one')
finally:
_pqm.standalone_policies = _orig_policies
def test_QUERY_hello_stderr(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
return 'hello, world'
''')
self.create_object(prolis, '/v1/a/c/hello.nexe', nexe)
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/c/hello.nexe"},
"file_list": [
{"device": "stderr",
"path": "swift://a/c/stderr.log"},
{"device": "stdout"}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
self.check_container_integrity(prosrv, '/v1/a/c', {})
def test_QUERY_relative_path(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
return 'hello, world'
''')
self.create_object(prolis, '/v1/a/c/hello.nexe', nexe)
conf = [
{
"name": "hello",
"exec": {"path": "swift://./c/hello.nexe"},
"file_list": [
{"device": "stderr",
"path": "swift://./c/stderr.log"},
{"device": "stdout"}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
def test_QUERY_cgi_response(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
resp = '\n'.join([
'HTTP/1.1 200 OK',
'Content-Type: text/html',
'X-Object-Meta-Key1: value1',
'X-Object-Meta-Key2: value2',
'', ''
])
out = '<html><body>Test this</body></html>'
return resp + out
''')
self.create_object(prolis, '/v1/a/c/exe2', nexe)
conf = [
{
'name': 'http',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stdout',
'content_type': 'message/http',
'path': 'swift://a/c/o3'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.executed_successfully(res)
req = self.object_request('/v1/a/c/o3')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.headers['content-type'], 'text/html')
self.assertEqual(res.headers['x-object-meta-key1'], 'value1')
self.assertEqual(res.headers['x-object-meta-key2'], 'value2')
self.assertEqual(res.body, '<html><body>Test this</body></html>')
conf = [
{
'name': 'http',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{
'device': 'stdout',
'content_type': 'message/http'
}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.headers['content-type'], 'text/html')
self.assertEqual(res.headers['x-object-meta-key1'], 'value1')
self.assertEqual(res.headers['x-object-meta-key2'], 'value2')
self.assertEqual(res.body, '<html><body>Test this</body></html>')
self.check_container_integrity(prosrv, '/v1/a/c', {})
def test_QUERY_cgi_environment(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
return pickle.dumps(open(mnfst.nvram['path']).read())
''')
self.create_object(prolis, '/v1/a/c/exe2', nexe)
conf = [
{
'name': 'http',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{
'device': 'stdout',
'content_type': 'application/x-pickle',
'path': 'swift://a/c/o3',
'meta': {'key1': 'val1', 'key2': 'val2'}
}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
req = self.object_request('/v1/a/c/o3')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.headers['x-object-meta-key1'], 'val1')
self.assertEqual(res.headers['x-object-meta-key2'], 'val2')
self.assertEqual(res.headers['content-type'], 'application/x-pickle')
out = pickle.loads(res.body)
self.assertIn('name=LOCAL_CONTENT_TYPE, value=application/x-pickle',
out)
self.assertIn('name=LOCAL_HTTP_X_OBJECT_META_KEY1, value=val1', out)
self.assertIn('name=LOCAL_HTTP_X_OBJECT_META_KEY2, value=val2', out)
self.assertIn('name=LOCAL_DOCUMENT_ROOT, value=/dev/stdout', out)
self.assertIn('name=LOCAL_PATH_INFO, value=/a/c/o3', out)
content_length = res.content_length
conf = [
{
'name': 'http',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{
'device': 'stdout',
'content_type': 'text/plain',
},
{
'device': 'stdin',
'path': 'swift://a/c/o3'
}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
req.query_string = 'param1=v1¶m2=v2'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
out = pickle.loads(res.body)
self.assertIn('name=LOCAL_CONTENT_TYPE, value=application/x-pickle',
out)
self.assertIn('name=LOCAL_HTTP_X_OBJECT_META_KEY1, value=val1', out)
self.assertIn('name=LOCAL_HTTP_X_OBJECT_META_KEY2, value=val2', out)
self.assertIn('name=LOCAL_DOCUMENT_ROOT, value=/dev/stdin', out)
self.assertIn('name=LOCAL_PATH_INFO, value=/a/c/o3', out)
self.assertIn('name=LOCAL_CONTENT_LENGTH, value=%d' % content_length,
out)
self.assertIn('name=SCRIPT_NAME, value=http', out)
self.assertIn('name=SCRIPT_FILENAME, value=swift://a/c/exe2', out)
self.assertIn('name=QUERY_STRING, value=%s' % req.query_string, out)
self.check_container_integrity(prosrv, '/v1/a/c', {})
conf = [
{
'name': 'http2',
'exec': {
'path': 'swift://a/c/exe2',
'name': 'http_script'
},
'file_list': [
{
'device': 'stdout',
'content_type': 'text/plain',
},
{
'device': 'stdin',
'path': 'swift://a/c/o3'
}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
out = pickle.loads(res.body)
self.assertIn('name=LOCAL_CONTENT_TYPE, value=application/x-pickle',
out)
self.assertIn('name=LOCAL_HTTP_X_OBJECT_META_KEY1, value=val1', out)
self.assertIn('name=LOCAL_HTTP_X_OBJECT_META_KEY2, value=val2', out)
self.assertIn('name=LOCAL_DOCUMENT_ROOT, value=/dev/stdin', out)
self.assertIn('name=LOCAL_PATH_INFO, value=/a/c/o3', out)
self.assertIn('name=LOCAL_CONTENT_LENGTH, value=%d' % content_length,
out)
self.assertIn('name=SCRIPT_NAME, value=http_script', out)
self.assertIn('name=SCRIPT_FILENAME, value=swift://a/c/exe2', out)
self.check_container_integrity(prosrv, '/v1/a/c', {})
req = self.zerovm_request()
req.body = conf
req.headers['x-auth-token'] = 't'
req.headers['x-storage-token'] = 't'
req.headers['cookie'] = 'secret'
req.headers['x-backend-data'] = 'internal_data'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
out = pickle.loads(res.body)
self.assertNotIn('name=HTTP_X_AUTH_TOKEN, value=t', out)
self.assertNotIn('name=HTTP_X_STORAGE_TOKEN, value=t', out)
self.assertNotIn('name=HTTP_COOKIE, value=secret', out)
self.assertNotIn('name=HTTP_X_BACKEND_DATA, value=internal_data', out)
def test_QUERY_GET_response(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
resp = '<html><body>Test this</body></html>'
return resp
''')
self.create_object(
prolis, '/v1/a/c/exe2', nexe, content_type='application/x-nexe')
req = self.object_request('/v1/a/c/exe2')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, nexe)
for ver in ['v1', 'open']:
url = '/%s/a/c/exe2?' % ver
req = Request.blank(
url + urlencode({'content_type': 'text/html'}))
if ver == 'v1':
req.headers['x-zerovm-execute'] = 'open/1.0'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '<html><body>Test this</body></html>')
self.assertEqual(res.headers['content-type'], 'text/html')
self.create_object(
prolis, '/v1/a/c/my.nexe', nexe, content_type='application/x-nexe')
for ver in ['v1', 'open']:
url = '/%s/a/c/my.nexe?' % ver
req = Request.blank(
url + urlencode({'content_type': 'text/html'}))
if ver == 'v1':
req.headers['x-zerovm-execute'] = 'open/1.0'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '<html><body>Test this</body></html>')
self.assertEqual(res.headers['content-type'], 'text/html')
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': '{.object_path}'},
{'device': 'stdout',
'content_type': 'application/x-pickle'}
]
}
]
conf = json.dumps(conf)
self.create_container(prolis, '/v1/a/%s' %
self.pqm.zerovm_registry_path)
self.create_object(prolis, '/v1/a/%s/%s'
% (self.pqm.zerovm_registry_path,
'application/octet-stream/config'),
conf, content_type='application/json')
for ver in ['v1', 'open']:
url = '/%s/a/c/o' % ver
req = Request.blank(url)
if ver == 'v1':
req.headers['x-zerovm-execute'] = 'open/1.0'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.headers['content-type'],
'application/x-pickle')
self.assertEqual(res.body, self.get_sorted_numbers())
self.check_container_integrity(prosrv, '/v1/a/c', {})
def test_QUERY_use_image(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
return [open(mnfst.image['path']).read(), sorted(id)]
''')
self.create_object(prolis, '/v1/a/c/exe2', nexe)
image = 'This is image file'
self.create_object(prolis, '/v1/a/c/img', image)
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'},
{'device': 'image', 'path': 'swift://a/c/img'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body,
str(['This is image file',
pickle.loads(self.get_sorted_numbers())]))
def test_QUERY_use_node_attach(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
return [open(mnfst.image['path']).read(), sorted(id)]
''')
self.create_object(prolis, '/v1/a/c/exe2', nexe)
image = 'This is image file'
self.create_object(prolis, '/v1/a/c/img', image)
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'},
{'device': 'image', 'path': 'swift://a/c/img'}
],
'attach': 'stdin'
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body,
str(['This is image file',
pickle.loads(self.get_sorted_numbers())]))
# Let's try to "attach" to a device that does not point to any object
# Should succeed also, as only the session location will change
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'},
{'device': 'image', 'path': 'swift://a/c/img'}
],
'attach': 'image'
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body,
str(['This is image file',
pickle.loads(self.get_sorted_numbers())]))
# Now try proper write-only object
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'},
{'device': 'image', 'path': 'swift://a/c/img'}
],
'attach': 'stdout'
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body,
str(['This is image file',
pickle.loads(self.get_sorted_numbers())]))
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout', 'path': 'swift://a/c/stdout.log'},
{'device': 'image', 'path': 'swift://a/c/img'}
],
'attach': 'stdout'
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
req = self.object_request('/v1/a/c/stdout.log')
req.headers['x-newest'] = 'true'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body,
str(['This is image file',
pickle.loads(self.get_sorted_numbers())]))
def test_QUERY_use_gzipped_image(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
return [open(mnfst.image['path']).read(), sorted(id)]
''')
self.create_object(prolis, '/v1/a/c/exe2', nexe)
image = 'This is image file'
image_gz = StringIO('')
gz = GzipFile(mode='wb', fileobj=image_gz)
gz.write(image)
gz.close()
self.create_object(prolis, '/v1/a/c/img.gz', image_gz.getvalue(),
content_type='application/x-gzip')
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'},
{'device': 'image', 'path': 'swift://a/c/img.gz'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body,
str(['This is image file',
pickle.loads(self.get_sorted_numbers())]))
def test_QUERY_use_large_image(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
return [open(mnfst.image['path']).read(), sorted(id)]
''')
self.create_object(prolis, '/v1/a/c/exe2', nexe)
image = 'This is image file' * 10000
self.create_object(prolis, '/v1/a/c/img', image)
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'},
{'device': 'image', 'path': 'swift://a/c/img'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body,
str(['This is image file' * 10000,
pickle.loads(self.get_sorted_numbers())]))
def test_QUERY_use_sysimage(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
image = 'This is image file'
sysimage_path = os.path.join(_testdir, 'sysimage.tar')
nexe = trim(r'''
return open(mnfst.nvram['path']).read() + \
str(mnfst.channels['/dev/sysimage1']['type']) + ' ' + \
str(mnfst.channels['/dev/sysimage1']['path'])
''')
self.create_object(prolis, '/v1/a/c/exe2', nexe)
img = open(sysimage_path, 'wb')
img.write(image)
img.close()
with self.add_sysimage_device(sysimage_path):
conf = [
{
'name': 'sort',
'exec': {
'path': 'swift://a/c/exe2'
},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'},
{'device': 'sysimage1'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertIn(
'[fstab]\n'
'channel=/dev/sysimage1, mountpoint=/, access=ro, '
'removable=no\n'
'[args]\n'
'args = sort\n',
res.body
)
self.assertIn('%d %s' % (3, sysimage_path),
res.body)
def test_sysimage_and_script_device(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
image = 'This is image file'
sysimage_path = os.path.join(_testdir, 'sysimage.tar')
nexe = trim(r'''
return open(mnfst.nvram['path']).read() + \
str(mnfst.channels['/dev/sysimage1']['type']) + ' ' + \
str(mnfst.channels['/dev/sysimage1']['path']) + '\n' + \
str(mnfst.channels['/dev/script']['path']) + '\n' + \
open(mnfst.channels['/dev/script']['path']).read()
''')
self.create_object(prolis, '/v1/a/c/exe2', nexe)
self.create_object(prolis, '/v1/a/c/script', 'Test script')
img = open(sysimage_path, 'wb')
img.write(image)
img.close()
with self.add_sysimage_device(sysimage_path):
conf = [
{
'name': 'sort',
'exec': {
'path': 'swift://a/c/exe2'
},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'},
{'device': 'sysimage1'},
{'device': 'script', 'path': 'swift://a/c/script'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertIn('[fstab]\n'
'channel=/dev/sysimage1, mountpoint=/, '
'access=ro, removable=no\n'
'[args]\n'
'args = sort\n', res.body)
self.assertIn('%d %s' % (3, sysimage_path),
res.body)
self.assertIn('Test script', res.body)
self.assert_(re.search('^%s/sd[ab]1/tmp/' % _testdir, res.body,
flags=re.M))
def test_QUERY_post_script_sysimage(self):
self.setup_QUERY()
prosrv = _test_servers[0]
script = trim(r'''
#! file://sysimage1:bin/sh
print 'Test'
''')
nexe = trim(r'''
import tarfile
tar = tarfile.open(mnfst.image['path'])
members = tar.getmembers()
names = tar.getnames()
file = tar.extractfile(members[0])
return names[0] + '\n' + file.read()
''')
shell = StringIO(nexe)
with self.create_tar({'bin/sh': shell}) as tar:
with self.add_sysimage_device(tar):
req = self.zerovm_request()
req.body = script
req.headers['content-type'] = 'application/x-shell'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertIn('script\n' + script, res.body)
self.assertEqual(res.headers['x-nexe-retcode'], '0')
self.assertEqual(res.headers['x-nexe-status'], 'ok.')
def test_QUERY_post_script(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
import tarfile
tar = tarfile.open(mnfst.image['path'])
members = tar.getmembers()
file = tar.extractfile(members[0])
return file.read()
''')
self.create_object(prolis, '/v1/a/c/exe2', nexe)
script = trim(r'''
#! swift://a/c/exe2
print 'Test'
''')
req = self.zerovm_request()
req.body = script
req.headers['content-type'] = 'application/x-python'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertIn(script, res.body)
script = trim(r'''
#! swift://a/aaa/bbb
print 'Test'
''')
req.body = script
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 404)
self.assertIn(' /a/aaa/bbb', res.body)
script = trim(r'''
#! aaa/bbb
print 'Test'
''')
req.body = script
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 400)
self.assertIn(' aaa/bbb', res.body)
def test_deferred(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
orig_timeout = _pqm.immediate_response_timeout
_pqm.immediate_response_timeout = 0.5
nexe = trim(r'''
from time import sleep
sleep(1)
return 'slept'
''')
self.create_object(prolis, '/v1/a/c/slow.nexe', nexe)
conf = [
{
'name': 'sort',
'exec': {
'path': 'swift://a/c/slow.nexe'
},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
req.headers['x-zerovm-deferred'] = 'auto'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertIn('swift://a/.zvm/', res.body)
url = res.body.strip()
from zerocloud.common import SwiftPath
path = SwiftPath(url)
req = self.object_request('/v1/%s/%s/%s' % (path.account,
path.container,
path.obj))
sleep(0.1)
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 404)
sleep(1)
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'slept')
req = self.object_request('/v1/%s/%s/%s.headers' % (path.account,
path.container,
path.obj))
res = req.get_response(prosrv)
# print res.status
self.assertEqual(res.status_int, 200)
raised = 0
try:
json.loads(res.body)
except Exception:
raised += 1
self.assertEqual(raised, 0)
_pqm.immediate_response_timeout = orig_timeout
def test_deferred_with_obj(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
orig_timeout = _pqm.immediate_response_timeout
_pqm.immediate_response_timeout = 0.5
nexe = trim(r'''
from time import sleep
sleep(1)
return 'slept'
''')
self.create_object(prolis, '/v1/a/c/slow.nexe', nexe)
conf = [
{
'name': 'sort',
'exec': {
'path': 'swift://a/c/slow.nexe'
},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
req.path_info = '/v1/a/jobs/my_job'
req.headers['x-zerovm-deferred'] = 'auto'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual('swift://a/jobs/my_job', res.body)
url = res.body.strip()
from zerocloud.common import SwiftPath
path = SwiftPath(url)
req = self.object_request('/v1/%s/%s/%s' % (path.account,
path.container,
path.obj))
sleep(0.1)
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 404)
sleep(1)
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'slept')
req = self.object_request('/v1/%s/%s/%s.headers' % (path.account,
path.container,
path.obj))
res = req.get_response(prosrv)
# print res.status
self.assertEqual(res.status_int, 200)
raised = 0
try:
json.loads(res.body)
except Exception:
raised += 1
self.assertEqual(raised, 0)
_pqm.immediate_response_timeout = orig_timeout
def test_QUERY_use_nvram(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
return open(mnfst.nvram['path']).read()
''')
self.create_object(prolis, '/v1/a/c/exe2', nexe)
conf = [
{
'name': 'sort',
'exec': {
'path': 'swift://a/c/exe2'
},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertIn('[args]\n'
'args = sort\n', res.body)
conf = [
{
'name': 'sort',
'exec': {
'path': 'swift://a/c/exe2',
'args': 'aa bb cc'
},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertIn('[args]\n'
'args = sort aa bb cc\n', res.body)
image = 'This is image file'
self.create_object(prolis, '/v1/a/c/img', image)
conf = [
{
'name': 'sort',
'exec': {
'path': 'swift://a/c/exe2'
},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'},
{'device': 'image', 'path': 'swift://a/c/img'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertIn(
'[fstab]\n'
'channel=/dev/image, mountpoint=/, access=ro, removable=no\n'
'[args]\n'
'args = sort\n',
res.body
)
conf = [
{
'name': 'sort',
'exec': {
'path': 'swift://a/c/exe2',
'args': 'aa bb cc',
'env': {
'key1': 'val1',
'key2': 'val2'
}
},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'},
{'device': 'image', 'path': 'swift://a/c/img'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertIn('[fstab]\n'
'channel=/dev/image, mountpoint=/, access=ro',
res.body)
self.assertIn('[args]\n'
'args = sort aa bb cc',
res.body)
self.assertIn('name=key1, value=val1',
res.body)
self.assertIn('name=key2, value=val2',
res.body)
conf = [
{
'name': 'sort',
'exec': {
'path': 'swift://a/c/exe2'
},
'file_list': [
{'device': 'input', 'path': 'swift://a/c/o',
'mode': 'file'},
{'device': 'stdout', 'mode': 'char'},
{'device': 'image', 'path': 'swift://a/c/img'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertIn('[args]\n'
'args = sort\n', res.body)
self.assertIn('[mapping]', res.body)
self.assertIn('channel=/dev/input, mode=file', res.body)
self.assertIn('channel=/dev/stdout, mode=char', res.body)
def test_QUERY_sort_immediate_stdout_stderr(self):
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'}
],
'count': 2
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, str(self.get_sorted_numbers()) * 2)
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stderr'}
],
'count': 2
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '\nfinished\n' * 2)
def test_QUERY_sort_store_stdout_immediate_stderr(self):
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stderr'},
{'device': 'stdout', 'path': 'swift://a/c/o2'}
]
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '\nfinished\n')
req = self.object_request('/v1/a/c/o2')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, self.get_sorted_numbers())
def test_QUERY_config_syntax_2(self):
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'devices': [
{'name': 'stdin', 'path': 'swift://a/c/o'},
{'name': 'stderr'},
{'name': 'stdout', 'path': 'swift://a/c/o2'}
]
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '\nfinished\n')
req = self.object_request('/v1/a/c/o2')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, self.get_sorted_numbers())
def test_QUERY_network_resolve(self):
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stderr', 'path': 'swift://a/c/o2'}
],
'connect': ['merge']
},
{
'name': 'merge',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stderr', 'path': 'swift://a/c/o3'}
],
'connect': ['sort']
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
req = self.object_request('/v1/a/c/o2')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertIn('finished', res.body)
self.assert_(re.match('tcp://127.0.0.1:\d+, /dev/out/%s' %
conf[0]['connect'][0], res.body))
req = self.object_request('/v1/a/c/o3')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertIn('finished', res.body)
self.assert_(re.match('tcp://127.0.0.1:\d+, /dev/out/%s' %
conf[1]['connect'][0], res.body))
def test_QUERY_networked_devices(self):
self.setup_QUERY()
nexe = trim(r'''
return 'ok'
''')
prolis = _test_sockets[0]
self.create_object(prolis, '/v1/a/c/exe2', nexe)
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stdout', 'path': 'zvm://merge:/dev/sort'},
{'device': 'stderr', 'path': 'swift://a/c/o2'}
]
},
{
'name': 'merge',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stderr', 'path': 'swift://a/c/o3'}
]
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
req = self.object_request('/v1/a/c/o2')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertIn('finished', res.body)
self.assert_(re.match('tcp://127.0.0.1:\d+, /dev/stdout', res.body))
req = self.object_request('/v1/a/c/o3')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertIn('finished', res.body)
def test_networked_devices_multistage(self):
self.setup_QUERY()
nexe = trim(r'''
for t in bind_list:
err.write('%s, %s\n' % (t[1], t[0]))
return 'ok'
''')
prolis = _test_sockets[0]
self.create_object(prolis, '/v1/a/c/exe2', nexe)
conf = [
{
'exec': {
'args': 'cat /dev/stdin',
'path': 'swift://./c/exe2'
},
'file_list': [
{
'device': 'stdin',
'path': 'swift://./c/o'
},
{
'device': 'stdout',
'path': 'zvm://stage2:/dev/stdin'
},
{
'device': 'stderr',
'path': 'swift://a/c/o2'
}
],
'name': 'stage1'
},
{
'exec': {
'args': 'cat',
'path': 'swift://./c/exe2'
},
'file_list': [
{
'device': 'stdout',
'path': 'zvm://stage3:/dev/stdin'
}
],
'name': 'stage2'
},
{
'exec': {
'args': 'cat',
'path': 'swift://./c/exe2'
},
'file_list': [
{
'device': 'stdout',
'content_type': 'text/plain'
},
{
'device': 'stderr',
'path': 'swift://a/c/o3'
}
],
'name': 'stage3'
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
req = self.object_request('/v1/a/c/o2')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
# connect stdout to network sink
self.assert_(re.match('tcp://127.0.0.1:\d+, /dev/stdout', res.body))
req = self.object_request('/v1/a/c/o3')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
# bind stdin to network source
self.assert_(re.match('tcp://0:\d+, /dev/stdin', res.body))
def test_QUERY_network_resolve_multiple(self):
self.setup_QUERY()
nexe = trim(r'''
import json
con_list.insert(
0,
re.sub(r'(?s).*args = ([^\n]+).*', r'\1',
open(mnfst.nvram['path']).read())
)
return json.dumps(con_list)
''')
prolis = _test_sockets[0]
self.create_object(prolis, '/v1/a/c/exe2', nexe)
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stdout'}
],
'connect': ['merge', 'sort'],
'count':3,
'replicate': 2
},
{
'name': 'merge',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stdout'}
],
'count': 2,
'replicate': 2
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
results = [json.loads(r) for r in re.findall(
r'(?s)(\[.*?\](?=\[|$))', res.body)]
pattern = '/dev/out/([\S]+)\', u?\'tcp://127.0.0.1:\d+'
for r in results:
if 'sort-1' in r[0]:
self.assertEqual(
sorted(re.findall(pattern, str(r[1:]))),
['merge-1', 'merge-1', 'merge-2', 'merge-2',
'sort-2', 'sort-2', 'sort-3', 'sort-3']
)
elif 'sort-2' in r[0]:
self.assertEqual(
sorted(re.findall(pattern, str(r[1:]))),
['merge-1', 'merge-1', 'merge-2', 'merge-2',
'sort-1', 'sort-1', 'sort-3', 'sort-3']
)
elif 'sort-3' in r[0]:
self.assertEqual(
sorted(re.findall(pattern, str(r[1:]))),
['merge-1', 'merge-1', 'merge-2', 'merge-2',
'sort-1', 'sort-1', 'sort-2', 'sort-2']
)
elif 'merge-1' in r[0]:
self.assertEqual(
sorted(re.findall(pattern, str(r[1:]))),
[]
)
elif 'merge-2' in r[0]:
self.assertEqual(
sorted(re.findall(pattern, str(r[1:]))),
[]
)
else:
self.assertTrue(False)
self.check_container_integrity(prosrv, '/v1/a/c_out1', {})
def test_colocated_nodes(self):
self.setup_QUERY()
# no co-location requested
conf = [
{
'name': 'colo1',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
],
'connect': ['colo2']
},
{
'name': 'colo2',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
],
'connect': ['colo3']
},
{
'name': 'colo3',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
]
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.headers['x-nexe-colocated'], '0,0,0')
# requested to co-locate first group between themselves
# and second group with the first
conf = [
{
'name': 'colo1',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
],
'connect': ['colo1', 'colo2'],
'location': 'node1',
'count': 2
},
{
'name': 'colo2',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
],
'connect': ['colo3'],
'location': 'node1'
},
{
'name': 'colo3',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
]
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
colo = res.headers['x-nexe-colocated'].split(',')
self.assertEqual(colo[0], colo[1])
self.assertEqual(colo[0], colo[2])
self.assertEqual(colo[3], '0')
# requested to co-locate first group between themselves
conf = [
{
'name': 'colo1',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
],
'connect': ['colo1', 'colo2'],
'location': 'node1',
'count': 2
},
{
'name': 'colo2',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
],
'connect': ['colo3'],
},
{
'name': 'colo3',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
]
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
colo = res.headers['x-nexe-colocated'].split(',')
self.assertEqual(colo[0], colo[1])
self.assertEqual(colo[2], '0')
self.assertEqual(colo[3], '0')
# requested to co-locate first group and second group
conf = [
{
'name': 'colo1',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
],
'connect': ['colo2'],
'location': 'node1'
},
{
'name': 'colo2',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
],
'connect': ['colo3'],
'location': 'node1'
},
{
'name': 'colo3',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
]
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
colo = res.headers['x-nexe-colocated'].split(',')
self.assertEqual(colo[0], colo[1])
self.assertEqual(colo[2], '0')
conf = [
{
'name': 'colo1',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c_in1/in*'}
],
'connect': ['colo2'],
'location': 'node1'
},
{
'name': 'colo2',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
],
'connect': ['colo3']
},
{
'name': 'colo3',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout'}
]
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
colo = res.headers['x-nexe-colocated'].split(',')
self.assertEqual(colo[0], colo[1])
self.assertEqual(colo[2], '0')
self.assertEqual(colo[3], '0')
def test_QUERY_read_obj_wildcard(self):
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c_in1/in*'},
{'device': 'stdout'}
]
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, self.get_sorted_numbers(
0, 10) + self.get_sorted_numbers(10, 20))
def test_QUERY_read_container_wildcard(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
self.create_object(prolis, '/v1/a/c/exe2', 'return sorted(id)')
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c_in*/*'},
{'device': 'stdout'}
]
}
]
req = self.zerovm_request()
jconf = json.dumps(conf)
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, ''.join([
str(range(0, 10)),
str(range(10, 20)),
str([]),
str(range(20, 30)),
str(range(30, 40)),
str([])
]))
def test_QUERY_read_container_and_obj_wildcard(self):
self.setup_QUERY()
prolis = _test_sockets[0]
self.create_object(prolis, '/v1/a/c/exe2', 'return sorted(id)')
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c_in*/in*'},
{'device': 'stdout'}
]
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, ''.join([
str(range(0, 10)),
str(range(10, 20)),
str(range(20, 30)),
str(range(30, 40))
]))
def test_QUERY_group_transform(self):
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c_in1/in*'},
{'device': 'stdout', 'path': 'swift://a/c_out1/out*'}
]
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
req = self.object_request('/v1/a/c_out1/output1')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(str(res.body), self.get_sorted_numbers(0, 10))
req = self.object_request('/v1/a/c_out1/output2')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(str(res.body), self.get_sorted_numbers(10, 20))
self.check_container_integrity(prosrv, '/v1/a/c_out1', {})
def test_QUERY_write_wildcard(self):
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout', 'path': 'swift://a/c_out1/wout.*'}],
'count': 2
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
# each header is duplicated because we have replication level set to 2
self.assertEqual(
res.headers['x-nexe-system'], 'sort-1,sort-1,sort-2,sort-2')
self.assertEqual(res.headers['x-nexe-status'], 'ok.,ok.,ok.,ok.')
self.assertEqual(res.headers['x-nexe-retcode'], '0,0,0,0')
self.check_container_integrity(prosrv,
'/v1/a/c_out1',
{
'wout.sort-1': '(l.',
'wout.sort-2': '(l.'
})
# now we remove auto-replication and should get the same result
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdout', 'path': 'swift://a/c_out1/wout.*'}],
'count': 2,
'replicate': 0
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.headers['x-nexe-system'], 'sort-1,sort-2')
self.assertEqual(res.headers['x-nexe-status'], 'ok.,ok.')
self.assertEqual(res.headers['x-nexe-retcode'], '0,0')
self.check_container_integrity(prosrv,
'/v1/a/c_out1',
{
'wout.sort-1': '(l.',
'wout.sort-2': '(l.'
})
def test_QUERY_group_transform_multiple(self):
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c_in*/in*'},
{'device': 'stdout', 'path': 'swift://a/c_out*/out*'}
]
}
]
jconf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(
res.headers['x-nexe-system'], 'sort-1,sort-2,sort-3,sort-4')
self.assertEqual(res.headers['x-nexe-status'], 'ok.,ok.,ok.,ok.')
self.assertEqual(res.headers['x-nexe-retcode'], '0,0,0,0')
self.check_container_integrity(
prosrv,
'/v1/a/c_out1',
{'output1': self.get_sorted_numbers(0, 10),
'output2': self.get_sorted_numbers(10, 20)}
)
self.check_container_integrity(
prosrv,
'/v1/a/c_out2',
{'output1': self.get_sorted_numbers(20, 30),
'output2': self.get_sorted_numbers(30, 40)}
)
def __test_QUERY_calls_authorize(self):
# there is no pre-authorization right now, maybe we do not need it at
# all
called = [False]
def authorize(req):
called[0] = True
return HTTPUnauthorized(request=req)
with save_globals():
proxy_server.http_connect =\
fake_http_connect(200, 200, 201, 201, 201)
prosrv = _test_servers[0]
req = self.zerovm_object_request()
req.environ['swift.authorize'] = authorize
req.body = '1234'
req.get_response(prosrv)
self.assert_(called[0])
def test_QUERY_request_client_disconnect_attr(self):
with save_globals():
proxy_server.http_connect = \
fake_http_connect(200, 200, 201, 201, 201)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = '12345'
req.content_length = 10
res = req.get_response(prosrv)
self.assertEqual(res.status, '499 Client Disconnect')
def test_QUERY_request_timed_out(self):
class SlowFile():
def read(self, amt=None):
sleep(0.1)
return '1'
prosrv = _test_servers[0]
orig_upload_time = _pqm.max_upload_time
with save_globals():
proxy_server.http_connect = \
fake_http_connect(200, 200, 201, 201, 201)
_pqm.max_upload_time = 1
req = self.zerovm_request()
req.body_file = SlowFile()
req.content_length = 100
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 408)
_pqm.max_upload_time = orig_upload_time
def test_QUERY_invalid_etag(self):
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'}
]
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = conf
req.headers['etag'] = '1111'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 422)
def test_QUERY_invalid_nexe_name(self):
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/error'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout', 'path': 'swift://a/c/out'}
]
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(
res.body, 'Error 404 Not Found while fetching /a/c/error')
self.assertEqual(res.status_int, 404)
def test_QUERY_missing_required_fields(self):
conf = [
{
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'}
]
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 400)
self.assertEqual(res.body, 'Must specify node name')
conf = [
{
'name': 'sort',
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 400)
self.assertEqual(res.body, 'Must specify exec stanza for sort')
conf = [
{
'name': 'sort',
'exec': {'test': 1},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c/o'},
{'device': 'stdout'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 400)
self.assertEqual(res.body, 'Must specify executable path for sort')
def test_QUERY_invalid_device_config(self):
prosrv = _test_servers[0]
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'path': 'swift://a/c/o'},
{'device': 'stdout'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 400)
self.assertEqual(res.body, 'Must specify device for file in sort')
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdtest'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 400)
self.assertEqual(res.body, 'Could not resolve channel path "" for '
'device: stdtest')
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://*'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 400)
self.assertEqual(res.body, 'Invalid path swift://* in sort')
def test_local_device_path_404(self):
self.setup_QUERY()
prosrv = _test_servers[0]
for path in ('c/error', 'c/o/error', 'error'):
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe',
'args': ''},
'file_list': [
{'device': 'stdin',
'path': 'swift://a/%s' % path},
{'device': 'stdout'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 404)
if path == 'error':
self.assertEqual(res.body, 'Error while fetching '
'/a/%s' % path)
else:
self.assertEqual(res.body, 'Error %s while fetching '
'/a/%s' % (res.status, path))
self.assertEqual(res.headers['x-nexe-system'], 'sort')
self.assertEqual(res.headers['x-nexe-status'],
'ZeroVM did not run')
self.assertEqual(res.headers['x-nexe-retcode'], '0')
def test_remote_device_path_404(self):
self.setup_QUERY()
prosrv = _test_servers[0]
for path in ('c/error', 'c/o/error'):
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe',
'args': ''},
'file_list': [
{'device': 'stdin',
'path': 'swift://a/%s' % path},
{'device': 'stdout'}
],
'attach': 'stdout'
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 404)
self.assertEqual(res.body, 'Error %s while fetching '
'/a/%s' % (res.status, path))
self.assertEqual(res.headers['x-nexe-system'], 'sort')
self.assertEqual(res.headers['x-nexe-status'],
'ZeroVM did not run')
self.assertEqual(res.headers['x-nexe-retcode'], '0')
for path in ('c/error', 'c/o/error'):
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe',
'args': ''},
'file_list': [
{'device': 'stdin',
'path': 'swift://a/%s.in' % path},
{'device': 'stdout',
'path': 'swift://a/%s.out' % path}
],
'attach': 'stdout'
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 404)
self.assertEqual(res.body, 'Error %s while fetching '
'/a/%s.in' % (res.status, path))
self.assertEqual(res.headers['x-nexe-system'], 'sort')
self.assertEqual(res.headers['x-nexe-status'],
'ZeroVM did not run')
self.assertEqual(res.headers['x-nexe-retcode'], '0')
for path in ('c/error', 'c/o/error'):
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe',
'args': ''},
'file_list': [
{'device': 'stdin',
'path': 'swift://a/%s.in' % path},
{'device': 'stdout',
'path': 'swift://a/%s.out' % path}
],
'attach': 'stdin'
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 404)
self.assertEqual(res.body, 'Error %s while fetching '
'/a/%s.in' % (res.status, path))
self.assertEqual(res.headers['x-nexe-system'], 'sort')
self.assertEqual(res.headers['x-nexe-status'],
'ZeroVM did not run')
self.assertEqual(res.headers['x-nexe-retcode'], '0')
for path in ('c/error', 'c/o/error'):
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe',
'args': ''},
'file_list': [
{'device': 'stdin',
'path': 'swift://a/%s' % path},
{'device': 'stdout',
'path': 'swift://a/%s' % path}
],
'attach': 'stdout'
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 400)
self.assertEqual(res.body, ('Could not resolve channel path '
'"swift://a/%s" for device: stdin'
% path) * 2)
self.assertEqual(res.headers['x-nexe-system'], 'sort,sort')
self.assertEqual(res.headers['x-nexe-status'],
'ZeroVM did not run,ZeroVM did not run')
self.assertEqual(res.headers['x-nexe-retcode'], '0,0')
def test_QUERY_account_server_error(self):
with save_globals():
swift.proxy.controllers.account.http_connect = \
fake_http_connect(500, 500, 500, 500, 500)
swift.proxy.controllers.base.http_connect = \
fake_http_connect(500, 500, 500, 500, 500)
swift.proxy.controllers.container.http_connect = \
fake_http_connect(500, 500, 500, 500, 500)
swift.proxy.controllers.obj.http_connect = \
fake_http_connect(500, 500, 500, 500, 500)
proxyquery.http_connect = \
fake_http_connect(500, 500, 500, 500, 500)
prosrv = _test_servers[0]
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'file_list': [
{'device': 'stdin', 'path': 'swift://a/c*'}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 400)
self.assertEqual(
res.body, 'Error querying object server for account: a')
def test_QUERY_config_parser(self):
pqm = proxyquery.ProxyQueryMiddleware(
self.proxy_app,
{'zerovm_sysimage_devices': 'sysimage1 sysimage2'},
object_ring=FakeRing(), container_ring=FakeRing())
conf = [
{
'name': 'script',
'exec': {
'path': 'file://boot/lua',
'args': 'my_script.lua'
},
'file_list': [
{
'device': 'image',
'path': 'swift://a/images/lua.img'
},
{
'device': 'stdin',
'path': 'swift://a/c/input'
},
{
'device': 'sysimage1'
}
],
'connect': ['script'],
'count':5
}
]
req = Request.blank('/a', environ={'REQUEST_METHOD': 'POST'},
headers={'Content-Type': 'application/json'})
parser = None
try:
parser = ClusterConfigParser(pqm.zerovm_sysimage_devices,
pqm.zerovm_content_type,
pqm.parser_config,
pqm.list_account,
pqm.list_container)
parser.parse(conf, False, request=req)
except ClusterConfigParsingError:
self.assertTrue(False, msg='ClusterConfigParsingError is raised')
self.assertEqual(len(parser.nodes), 5)
prolis = _test_sockets[0]
prosrv = _test_servers[0]
self.setup_QUERY()
self.create_container(prolis, '/v1/a/terasort')
self.create_object(prolis, '/v1/a/terasort/input/1.txt',
self.get_random_numbers())
self.create_object(prolis, '/v1/a/terasort/input/2.txt',
self.get_random_numbers())
self.create_object(prolis, '/v1/a/terasort/input/3.txt',
self.get_random_numbers())
self.create_object(prolis, '/v1/a/terasort/input/4.txt',
self.get_random_numbers())
nexe = trim(r'''
return open(mnfst.nvram['path']).read()
''')
self.create_object(prolis, '/v1/a/terasort/bin/map', nexe)
self.create_object(prolis, '/v1/a/terasort/bin/reduce', nexe)
conf = [
{
"name": "map",
"exec": {
"path": "swift://a/terasort/bin/map",
"env": {
"MAP_NAME": "map",
"REDUCE_NAME": "red",
"MAP_CHUNK_SIZE": "100485700"
}
},
"connect": ["red", "map"],
"file_list": [
{
"device": "stdin",
"path": "swift://a/terasort/input/*.txt"
},
{
"device": "stderr",
"path": "swift://a/terasort/log/*.log",
"content_type": "text/plain"
}
]
},
{
"name": "red",
"exec": {
"path": "swift://a/terasort/bin/reduce",
"env": {
"MAP_NAME": "map",
"REDUCE_NAME": "red"
}
},
"file_list": [
{
"device": "stdout",
"path": "swift://a/terasort/output/*.txt",
"content_type": "text/plain"
},
{
"device": "stderr",
"path": "swift://a/terasort/log/*.log",
"content_type": "text/plain"
}
],
"count": 4
}
]
jconf = json.dumps(conf)
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
for i in range(1, 5):
req = self.object_request('/v1/a/terasort/log/%d.log' % i)
res = req.get_response(prosrv)
print res.status
print res.headers
print res.body
for i in range(1, 5):
req = self.object_request('/v1/a/terasort/log/red-%d.log' % i)
res = req.get_response(prosrv)
print res.status
print res.headers
print res.body
# controller = _pqm.get_controller('a', None, None)
# error = controller.parse_cluster_config(req, conf)
# self.assertIsNone(error)
# self.assertEqual(len(controller.nodes), 8)
# for name, node in controller.nodes.iteritems():
# self.assertEqual(node.replicate, 1)
# self.assertEqual(node.replicas, [])
# print json.dumps(controller.nodes, sort_keys=True, indent=2,
# cls=proxyquery.NodeEncoder)
def test_single_wildcard(self):
prolis = _test_sockets[0]
prosrv = _test_servers[0]
self.setup_QUERY()
self.create_container(prolis, '/v1/a/single')
self.create_object(prolis, '/v1/a/single/input1.txt',
self.get_random_numbers())
self.create_object(prolis, '/v1/a/single/script1.py',
self.get_random_numbers())
self.create_object(prolis, '/v1/a/single/script2.py',
self.get_random_numbers())
nexe = trim(r'''
err.write('%s:%s\n' % (mnfst.channels['/dev/stdin']['device'],
mnfst.channels['/dev/stdin']['path']))
err.write('%s:%s\n' % (mnfst.channels['/dev/stdout']['device'],
mnfst.channels['/dev/stdout']['path']))
err.write('%s:%s\n' % (mnfst.channels['/dev/stderr']['device'],
mnfst.channels['/dev/stderr']['path']))
err.write('%s:%s\n' % (mnfst.channels['/dev/python']['device'],
mnfst.channels['/dev/python']['path']))
if mnfst.channels.get('/dev/input'):
err.write('%s:%s\n' % (mnfst.channels['/dev/input']['device'],
mnfst.channels['/dev/input']['path']))
return 'ok'
''')
py = StringIO(nexe)
with self.create_tar({'python': py}) as tar:
with self.add_sysimage_device(tar, name='python'):
conf = [
{
"name": "mapper",
"exec": {
"path": "file://python:python"
},
"args": "arg1 arg2",
"file_list": [
{
"device": "stdin",
"path": "swift://./single/script1.py"
},
{
"device": "input",
"path": "swift://./single/input*.txt"
},
{
"device": "stderr",
"path": "swift://./single/output*.err",
"content_type": "text/plain"
},
{
"device": "python"
}
],
"connect": [
"reducer"
]
},
{
"name": "reducer",
"exec": {
"path": "file://python:python"
},
"file_list": [
{
"device": "stdin",
"path": "swift://./single/script2.py"
},
{
"device": "stdout"
},
{
"device": "python"
},
{
"device": "stderr",
"path": "swift://./single/*.err",
"content_type": "text/plain"
}
]
}
]
jconf = json.dumps(conf)
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.executed_successfully(res)
self.assertEqual(res.headers['x-nexe-system'],
'mapper-1,reducer')
self.assertEqual(res.body, 'ok')
req = self.object_request('/v1/a/single/output1.err')
res = req.get_response(prosrv)
body = res.body.split('\n')
test_path = os.path.abspath(_testdir)
dev, path = body[0].split(':')
self.assertEqual(dev, '/dev/stdin')
self.assertTrue(path.startswith(test_path))
dev, path = body[1].split(':')
self.assertEqual(dev, '/dev/stdout')
self.assertEqual(path, '/dev/null')
dev, path = body[2].split(':')
self.assertEqual(dev, '/dev/stderr')
self.assertTrue(path.startswith(test_path))
dev, path = body[3].split(':')
self.assertEqual(dev, '/dev/python')
self.assertEqual(path, tar)
dev, path = body[4].split(':')
self.assertEqual(dev, '/dev/input')
self.assertTrue(path.startswith(test_path))
obj_path = '/%s/' % hash_path('a', 'single', 'input1.txt')
self.assertTrue(obj_path in path)
dev, path = body[5].split(', ')
self.assertEqual(path, '/dev/out/reducer')
req = self.object_request('/v1/a/single/reducer.err')
res = req.get_response(prosrv)
body = res.body.split('\n')
dev, path = body[0].split(':')
self.assertEqual(dev, '/dev/stdin')
self.assertTrue(path.startswith(test_path))
dev, path = body[1].split(':')
self.assertEqual(dev, '/dev/stdout')
self.assertTrue(path.startswith(test_path))
dev, path = body[2].split(':')
self.assertEqual(dev, '/dev/stderr')
self.assertTrue(path.startswith(test_path))
dev, path = body[3].split(':')
self.assertEqual(dev, '/dev/python')
self.assertEqual(path, tar)
def test_opaque_config(self):
pqm = proxyquery.ProxyQueryMiddleware(
self.proxy_app,
{'zerovm_sysimage_devices': 'sysimage1 sysimage2'},
object_ring=FakeRing(), container_ring=FakeRing())
conf = [
{
'name': 'script',
'exec': {
'path': 'file://boot/lua',
'args': 'my_script.lua'
},
'file_list': [
{
'device': 'image',
'path': 'swift://a/images/lua.img'
},
{
'device': 'stdin',
'path': 'swift://a/c/input'
},
{
'device': 'sysimage1'
}
],
'connect': ['script'],
'count':5
}
]
req = Request.blank('/a', environ={'REQUEST_METHOD': 'POST'},
headers={'Content-Type': 'application/json'})
parser = None
cluster_config = None
try:
parser = ClusterConfigParser(pqm.zerovm_sysimage_devices,
pqm.zerovm_content_type,
pqm.parser_config,
pqm.list_account,
pqm.list_container,
network_type='opaque')
cluster_config = parser.parse(conf, False, request=req)
except ClusterConfigParsingError:
self.assertTrue(False, msg='ClusterConfigParsingError is raised')
self.assertEqual(len(parser.nodes), 5)
for n in cluster_config.nodes.itervalues():
parser.build_connect_string(n, cluster_id='cluster1')
self.assertEqual(len(n.bind), 4)
for line in n.bind:
self.assertNotIn('/dev/in/%s' % n.name, line)
self.assertEqual(len(n.connect), 4)
for line in n.connect:
self.assertNotIn('/dev/in/%s' % n.name, line)
prolis = _test_sockets[0]
prosrv = _test_servers[0]
self.setup_QUERY()
self.create_container(prolis, '/v1/a/terasort')
self.create_object(prolis, '/v1/a/terasort/input/1.txt',
self.get_random_numbers())
self.create_object(prolis, '/v1/a/terasort/input/2.txt',
self.get_random_numbers())
self.create_object(prolis, '/v1/a/terasort/input/3.txt',
self.get_random_numbers())
self.create_object(prolis, '/v1/a/terasort/input/4.txt',
self.get_random_numbers())
mapper_count = 4
reducer_count = 4
orig_network_type = _pqm.network_type
orig_repl = _pqm.ignore_replication
try:
_pqm.network_type = 'opaque'
_pqm.ignore_replication = True
nexe = trim(r'''
return open(mnfst.nvram['path']).read()
''')
self.create_object(prolis, '/v1/a/terasort/bin/map', nexe)
self.create_object(prolis, '/v1/a/terasort/bin/reduce', nexe)
conf = [
{
"name": "map",
"exec": {
"path": "swift://a/terasort/bin/map",
"env": {
"MAP_NAME": "map",
"REDUCE_NAME": "red",
"MAP_CHUNK_SIZE": "100485700"
}
},
"connect": ["red", "map"],
"file_list": [
{
"device": "stdin",
"path": "swift://a/terasort/input/*.txt"
},
{
"device": "stderr",
"path": "swift://a/terasort/log/*.log",
"content_type": "text/plain"
}
]
},
{
"name": "red",
"exec": {
"path": "swift://a/terasort/bin/reduce",
"env": {
"MAP_NAME": "map",
"REDUCE_NAME": "red"
}
},
"file_list": [
{
"device": "stdout",
"path": "swift://a/terasort/output/*.txt",
"content_type": "text/plain"
},
{
"device": "stderr",
"path": "swift://a/terasort/log/*.log",
"content_type": "text/plain"
}
],
"count": reducer_count
}
]
jconf = json.dumps(conf)
req = self.zerovm_request()
req.body = jconf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
map_in = re.compile(
'/dev/in/map-\d+, opaque:local\|[^-]+-\d+-\d+')
map_out = re.compile(
'/dev/out/map-\d+, opaque:local\|>[^-]+-\d+-\d+')
red_in = re.compile(
'/dev/in/red-\d+, opaque:local\|[^-]+-\d+-\d+')
red_out = re.compile(
'/dev/out/red-\d+, opaque:local\|>[^-]+-\d+-\d+')
for i in range(1, mapper_count + 1):
req = self.object_request('/v1/a/terasort/log/%d.log' % i)
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
con_list = map_in.findall(res.body)
self.assertEqual(len(con_list), mapper_count - 1)
for line in con_list:
self.assertNotIn('/dev/in/map-%d' % i, line)
con_list = map_out.findall(res.body)
self.assertEqual(len(con_list), mapper_count - 1)
for line in con_list:
self.assertNotIn('/dev/out/map-%d' % i, line)
con_list = red_in.findall(res.body)
self.assertEqual(len(con_list), 0)
con_list = red_out.findall(res.body)
self.assertEqual(len(con_list), reducer_count)
for line in con_list:
self.assertNotIn('/dev/out/map-%d' % i, line)
for i in range(1, reducer_count + 1):
req = self.object_request('/v1/a/terasort/log/red-%d.log' % i)
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
con_list = map_in.findall(res.body)
self.assertEqual(len(con_list), mapper_count)
con_list = map_out.findall(res.body)
self.assertEqual(len(con_list), 0)
con_list = red_in.findall(res.body)
self.assertEqual(len(con_list), 0)
con_list = red_out.findall(res.body)
self.assertEqual(len(con_list), 0)
finally:
_pqm.network_type = orig_network_type
_pqm.ignore_replication = orig_repl
def test_container_query(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
import json
import sqlite3
db_path = mnfst.channels['/dev/input']['path']
con = sqlite3.connect(db_path)
cursor = con.cursor()
cursor.execute("SELECT name FROM object order by 1;")
l = []
for r in cursor.fetchall():
l.append(str(r[0]))
return json.dumps(l)
''')
self.create_object(prolis, '/v1/a/c/list_container.nexe', nexe)
self.create_container(prolis, '/v1/a/test_cont1')
self.create_object(prolis, '/v1/a/test_cont1/o1',
self.get_random_numbers())
self.create_object(prolis, '/v1/a/test_cont1/o2',
self.get_random_numbers())
self.create_object(prolis, '/v1/a/test_cont1/o/o3',
self.get_random_numbers())
conf = [
{
'name': 'list',
'exec': {
'path': 'swift://a/c/list_container.nexe'
},
'file_list': [
{
'device': 'input',
'path': 'swift://a/test_cont1'
},
{
'device': 'stdout'
}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.executed_successfully(res)
obj_list = json.loads(res.body)
self.assertEqual(obj_list, ['o/o3', 'o1', 'o2'])
self.create_container(prolis, '/v1/a/test_cont2')
self.create_object(prolis, '/v1/a/test_cont2/oo2',
self.get_random_numbers())
self.create_object(prolis, '/v1/a/test_cont2/o/o2',
self.get_random_numbers())
self.create_object(prolis, '/v1/a/test_cont2/o/o/o2',
self.get_random_numbers())
conf = [
{
'name': 'list',
'exec': {
'path': 'swift://a/c/list_container.nexe'
},
'file_list': [
{
'device': 'input',
'path': 'swift://a/test_cont*'
},
{
'device': 'stdout',
'path': 'swift://a/c/list_output*',
'content_type': 'application/json'
}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.executed_successfully(res)
req = self.object_request('/v1/a/c/list_output1')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.content_type, 'application/json')
self.assertEqual(json.loads(res.body),
['o/o3', 'o1', 'o2'])
req = self.object_request('/v1/a/c/list_output2')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.content_type, 'application/json')
self.assertEqual(json.loads(res.body),
['o/o/o2', 'o/o2', 'oo2'])
def test_parse_daemon_config(self):
conf = [
{
'name': 'daemon1',
'exec': {
'path': 'file://sysimage1:daemon1'
},
'file_list': [
{
'device': 'stdin',
'path': 'swift://a/c/o'
},
{
'device': 'stdout',
'path': 'swift://a/c/o'
},
{
'device': 'sysimage1'
}
]
}
]
fd = open('%s/config.json' % _testdir, 'w')
json.dump(conf, fd)
fd.close()
conf = [
{
'name': 'daemon2',
'exec': {
'path': 'file://sysimage1:daemon2'
},
'file_list': [
{
'device': 'input',
'path': 'swift://a/c/o'
},
{
'device': 'output',
'path': 'swift://a/c/o'
},
{
'device': 'sysimage1'
}
]
}
]
fd = open('%s/config2.json' % _testdir, 'w')
json.dump(conf, fd)
fd.close()
pqm = proxyquery.ProxyQueryMiddleware(
self.proxy_app,
{'zerovm_sysimage_devices': 'sysimage1 sysimage2'},
object_ring=FakeRing(), container_ring=FakeRing())
daemons = pqm.parse_daemon_config(['daemon1',
'%s/config.json' % _testdir,
'daemon2',
'%s/config2.json' % _testdir])
for val in daemons:
self.assertIn(val[0], ('daemon1', 'daemon2'))
config = val[1]
self.assertEqual(config.exe.image, 'sysimage1')
self.assertIn(config.exe.path, ('daemon1', 'daemon2'))
def test_cors(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
if hasattr(_pqm.app, 'strict_cors_mode'):
self.assertTrue(_pqm.app.strict_cors_mode)
nexe = trim(r'''
return 'hello, world'
''')
self.create_object(prolis, '/v1/a/c/hello.nexe', nexe)
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/c/hello.nexe"},
"file_list": [
{"device": "stdout"}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
req.headers['origin'] = 'http://example.com'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
# Uncomment it when tested on Swift > 1.13.1
# the bug with strict_cors_mode is fixed in current trunk
# try:
# _pqm.app.strict_cors_mode = False
# req = self.zerovm_request()
# req.body = conf
# req.headers['origin'] = 'http://example.com'
# res = req.get_response(prosrv)
# self.assertEqual(res.status_int, 200)
# self.assertEqual(res.body, 'hello, world')
# self.assertIn('Access-Control-Allow-Origin', res.headers)
# self.assertEqual(res.headers['Access-Control-Allow-Origin'],
# 'http://example.com')
# self.assertIn('Access-Control-Expose-Headers', res.headers)
# self.check_container_integrity(prosrv, '/v1/a/c', {})
# finally:
# _pqm.app.strict_cors_mode = True
def test_min_size(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
return ''
''')
self.create_object(prolis, '/v1/a/c/hello.nexe', nexe)
conf = [
{
'name': 'hello',
'exec': {'path': 'swift://a/c/hello.nexe'},
'file_list': [
{'device': 'stderr',
'path': 'swift://a/c/stderr.log',
'min_size': 0},
{'device': 'stdout',
'path': 'swift://a/c/stdout.log',
'min_size': 0}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '')
req = self.object_request('/v1/a/c/stderr.log')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '\nfinished\n')
req = self.object_request('/v1/a/c/stdout.log')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '')
self.check_container_integrity(prosrv, '/v1/a/c', {})
conf = [
{
'name': 'hello',
'exec': {'path': 'swift://a/c/hello.nexe'},
'file_list': [
{'device': 'stderr',
'path': 'swift://a/c/stderr_m.log',
'min_size': 1},
{'device': 'stdout',
'path': 'swift://a/c/stdout_m.log',
'min_size': 1}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '')
req = self.object_request('/v1/a/c/stderr_m.log')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '\nfinished\n')
req = self.object_request('/v1/a/c/stdout_m.log')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 404)
self.check_container_integrity(prosrv, '/v1/a/c', {})
def test_policy_config(self):
conf = {'devices': _testdir, 'swift_dir': _testdir,
'mount_check': 'false',
'allowed_headers': 'content-encoding, x-object-manifest, '
'content-disposition, foo',
'allow_versions': 'True',
'standalone_policies': 'one two three'}
pqm = proxyquery.ProxyQueryMiddleware(None, conf,
logger=debug_logger('pqm'))
self.assertTrue(1 in pqm.standalone_policies)
self.assertTrue(2 in pqm.standalone_policies)
self.assertTrue(3 not in pqm.standalone_policies)
self.assertEqual(pqm.logger.lines_dict['warning'][0],
'Could not load storage policy: three')
def test_sort_from_request(self):
self.setup_QUERY()
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/c/exe'},
'devices': [
{'name': 'stdin'},
{'name': 'stdout', 'path': 'swift://a/c/o2'}
]
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
prolis = _test_sockets[0]
req = self.zerovm_tar_request()
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
req.body_file = open(tar, 'rb')
req.content_length = os.path.getsize(tar)
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '')
self.create_object(prolis, '/v1/a/c/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
req = self.zerovm_request()
req.headers['x-zerovm-source'] = 'swift://a/c/myapp'
req.headers['content-type'] = 'application/x-pickle'
random_data = self.get_random_numbers()
data = StringIO(random_data)
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(prosrv)
self.executed_successfully(res)
self.check_container_integrity(prosrv,
'/v1/a/c',
{
'o2': self.get_sorted_numbers(),
'myapp': open(tar, 'rb').read()
})
self.create_object(prolis, '/v1/a/c/sort.json',
conf,
content_type='application/json')
req = self.zerovm_request()
req.headers['x-zerovm-source'] = 'swift://a/c/sort.json'
req.headers['content-type'] = 'application/x-pickle'
random_data = self.get_random_numbers()
data = StringIO(random_data)
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(prosrv)
self.executed_successfully(res)
self.check_container_integrity(prosrv,
'/v1/a/c',
{
'o2': self.get_sorted_numbers(),
'sort.json': conf
})
def test_invalid_methods(self):
prosrv = _test_servers[0]
for method in ['GET', 'HEAD', 'DELETE', 'PUT']:
req = self.zerovm_request()
req.body = ''
req.method = method
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 501)
for method in ['POST', 'HEAD', 'DELETE', 'PUT']:
req = self.zerovm_request()
req.body = ''
req.method = method
req.headers['x-zerovm-execute'] = 'open/1.0'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 412)
for method in ['POST', 'HEAD', 'DELETE', 'PUT']:
req = self.zerovm_request()
req.body = ''
req.method = method
req.headers['x-zerovm-execute'] = 'open/1.0'
req.path_info = '/v1/a/c/o'
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 501)
def test_job_chain(self):
self.setup_QUERY()
self.actions = []
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
import json
conf = [
{
'name': 'http',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{
'device': 'stdout',
'content_type': 'message/http'
}
]
}
]
out = json.dumps(conf)
resp = '\n'.join([
'HTTP/1.1 200 OK',
'Content-Type: application/json',
'X-Zerovm-Execute: 1.0',
'', ''
])
return resp + out
''')
self.create_object(prolis, '/v1/a/c/chainer', nexe)
nexe = trim(r'''
resp = '\n'.join([
'HTTP/1.1 200 OK',
'Content-Type: text/html',
'X-Object-Meta-Key1: value1',
'X-Object-Meta-Key2: value2',
'', ''
])
out = '<html><body>Test this</body></html>'
return resp + out
''')
self.create_object(prolis, '/v1/a/c/exe2', nexe)
conf = [
{
'name': 'http',
'exec': {'path': 'swift://a/c/chainer'},
'file_list': [
{
'device': 'stdout',
'content_type': 'message/http'
}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request(user=self.users['a'])
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.headers['content-type'], 'text/html')
self.assertEqual(res.headers['x-object-meta-key1'], 'value1')
self.assertEqual(res.headers['x-object-meta-key2'], 'value2')
self.assertEqual(res.body, '<html><body>Test this</body></html>')
self.check_container_integrity(prosrv, '/v1/a/c', {})
self.assertEqual(
['Allowed Owner to POST swift://a with 1.0',
'Allowed Owner to GET swift://a/c/chainer with 1.0',
'Allowed Owner to POST swift://a with 1.0',
'Allowed Owner to GET swift://a/c/exe2 with 1.0'],
self.actions)
def test_job_chain_timeout(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
import json
conf = [
{
'name': 'http',
'exec': {'path': 'swift://a/c/chainer'},
'file_list': [
{
'device': 'stdout',
'content_type': 'message/http'
}
]
}
]
out = json.dumps(conf)
resp = '\n'.join([
'HTTP/1.1 200 OK',
'Content-Type: application/json',
'X-Zerovm-Execute: 1.0',
'', ''
])
sleep(0.3)
return resp + out
''')
self.create_object(prolis, '/v1/a/c/chainer', nexe)
conf = [
{
'name': 'http',
'exec': {'path': 'swift://a/c/chainer'},
'file_list': [
{
'device': 'stdout',
'content_type': 'message/http'
}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
_orig_chain_timeout = prosrv.app.chain_timeout
try:
prosrv.app.chain_timeout = 1
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.headers['content-type'], 'application/json')
self.assertEqual(res.body, conf)
self.assertTrue(res.headers['x-chain-total-time'] >
prosrv.app.chain_timeout)
self.check_container_integrity(prosrv, '/v1/a/c', {})
finally:
prosrv.app.chain_timeout = _orig_chain_timeout
def test_job_chain_with_payload(self):
self.setup_QUERY()
data = pickle.dumps('Quick brown fox', protocol=0)
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
import json
import urlparse
qs = zvm_environ['QUERY_STRING']
params = dict(urlparse.parse_qsl(qs, True))
conf = [
{
'name': 'store',
'exec': {'path': 'swift://a/c/store'},
'file_list': [
{
'device': 'stdout',
'path': 'swift:/%s' % params['path'],
'content_type': params['content_type']
},
{
'device': 'stdin'
}
]
}
]
out = json.dumps(conf, indent=2)
resp = '\n'.join([
'HTTP/1.1 200 OK',
'Content-Type: application/json',
'X-Zerovm-Execute: 1.0',
'', ''
])
return resp + out
''')
self.create_object(prolis, '/v1/a/c/receive', nexe)
nexe = trim(r'''
return id
''')
self.create_object(prolis, '/v1/a/c/store', nexe)
conf = [
{
'name': 'http',
'exec': {'path': 'swift://a/c/receive'},
'file_list': [
{
'device': 'stdout',
'content_type': 'message/http'
}
]
}
]
conf = json.dumps(conf)
self.create_object(prolis, '/v1/a/c/receiver.json', conf,
content_type='application/json')
req = self.zerovm_request()
req.query_string = 'path=/a/c/my_object&content_type=text/plain'
req.body = data
req.headers['x-zerovm-source'] = 'swift://a/c/receiver.json'
res = req.get_response(prosrv)
self.executed_successfully(res)
req = self.object_request('/v1/a/c/my_object')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'Quick brown fox')
self.assertEqual(res.content_type, 'text/plain')
def test_restful_job_chain_with_payload(self):
self.setup_QUERY()
data = pickle.dumps('Quick brown fox', protocol=0)
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
import json
import urlparse
qs = zvm_environ['QUERY_STRING']
params = dict(urlparse.parse_qsl(qs, True))
path_info = zvm_environ['PATH_INFO']
conf = [
{
'name': 'store',
'exec': {'path': 'swift://a/c/store'},
'file_list': [
{
'device': 'stdout',
'path': 'swift:/%s' % path_info,
'content_type': params['content_type']
},
{
'device': 'stdin'
}
]
}
]
out = json.dumps(conf, indent=2)
resp = '\n'.join([
'HTTP/1.1 200 OK',
'Content-Type: application/json',
'X-Zerovm-Execute: 1.0',
'', ''
])
return resp + out
''')
self.create_object(prolis, '/v1/a/c/receive', nexe)
nexe = trim(r'''
return id
''')
self.create_object(prolis, '/v1/a/c/store', nexe)
req = Request.blank('/v1/a/c',
environ={'REQUEST_METHOD': 'POST'},
headers={
'X-Container-Meta-Rest-Endpoint':
'swift://a/c/myapp'})
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 204)
req = Request.blank('/v1/a/c',
environ={'REQUEST_METHOD': 'HEAD'})
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 204)
self.assertEqual(res.headers['X-Container-Meta-Rest-Endpoint'],
'swift://a/c/myapp')
conf = [
{
'name': 'http',
'exec': {'path': 'swift://a/c/receive'},
'file_list': [
{
'device': 'stdout',
'content_type': 'message/http'
}
]
}
]
conf = json.dumps(conf)
sysmap = StringIO(conf)
cache = FakeMemcache()
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
self.create_object(prolis, '/v1/a/c/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
def create_req(cache):
req = Request.blank(
'/api/a/c/my_object',
environ={'REQUEST_METHOD': 'PUT'},
headers={
'Content-Type': 'application/x-pickle'})
req.query_string = 'content_type=text/plain'
req.body = data
req.environ['swift.cache'] = cache
return req
req = create_req(cache)
res = req.get_response(prosrv)
self.executed_successfully(res)
self.assertEqual(cache.call, {'set': 1, 'get': 1})
req = create_req(cache)
res = req.get_response(prosrv)
self.executed_successfully(res)
self.assertEqual(cache.call, {'set': 1, 'get': 2})
req = self.object_request('/v1/a/c/my_object')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'Quick brown fox')
self.assertEqual(res.content_type, 'text/plain')
def test_return_bad_retcode(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
global error_code
error_code = 1
return 'hello, world'
''')
self.create_object(prolis, '/v1/a/c/rc.nexe', nexe)
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/c/rc.nexe"},
"file_list": [
{"device": "stdout"}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 500)
self.assertEqual(res.body, 'hello, world')
self.check_container_integrity(prosrv, '/v1/a/c', {})
def test_setting_nexe_headers(self):
self.setup_QUERY()
prolis = _test_sockets[0]
prosrv = _test_servers[0]
nexe = trim(r'''
resp = '\n'.join([
'HTTP/1.1 200 OK',
'Content-Type: text/html',
'X-Nexe-Status: stat',
'X-Nexe-Retcode: 42',
'', ''
])
out = '<html><body>Test this</body></html>'
return resp + out
''')
self.create_object(prolis, '/v1/a/c/exe2', nexe)
conf = [
{
'name': 'http',
'exec': {'path': 'swift://a/c/exe2'},
'file_list': [
{
'device': 'stdout',
'content_type': 'message/http'
}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request()
req.body = conf
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.headers['content-type'], 'text/html')
self.assertEqual(res.body, '<html><body>Test this</body></html>')
# we should get actual x-nexe- headers
# and not the ones user application sets in its output
self.assertEqual(res.headers['x-nexe-status'], 'ok.')
self.assertEqual(res.headers['x-nexe-retcode'], '0')
self.check_container_integrity(prosrv, '/v1/a/c', {})
def test_zapp_post(self):
self.setup_QUERY()
conf = [
{
'name': 'zapp-post',
'exec': {'path': 'swift://a/c/exe'},
'devices': [
{'name': 'stdin'},
{'name': 'stdout'}
]
}
]
conf = json.dumps(conf)
prosrv = _test_servers[0]
prolis = _test_sockets[0]
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
self.create_object(prolis, '/v1/a/c/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
req = Request.blank('/open/a/c/myapp',
environ={'REQUEST_METHOD': 'POST'},
headers={
'Content-Type': 'application/x-pickle'})
random_data = self.get_random_numbers()
data = StringIO(random_data)
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(prosrv)
self.executed_successfully(res)
self.assertEqual(res.body, self.get_sorted_numbers())
self.check_container_integrity(prosrv, '/v1/a/c', {})
def test_zapp_post_error(self):
def post_request():
return Request.blank('/open/a/c/myapp1',
environ={'REQUEST_METHOD': 'POST'},
headers={
'Content-Type': 'application/x-pickle'})
self.setup_QUERY()
prosrv = _test_servers[0]
prolis = _test_sockets[0]
req = post_request()
random_data = self.get_random_numbers()
data = StringIO(random_data)
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 404)
self.create_object(prolis, '/v1/a/c/myapp1', '')
req = post_request()
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 501)
self.create_object(prolis, '/v1/a/c/myapp1', 'a')
req = post_request()
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 501)
self.create_object(prolis, '/v1/a/c/myapp1', 'a',
content_type='application/x-tar')
req = post_request()
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 501)
self.create_object(prolis, '/v1/a/c/myapp1', 'bad gzip',
content_type='application/x-gzip')
req = post_request()
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 422)
def test_zapp_put(self):
self.setup_QUERY()
prosrv = _test_servers[0]
prolis = _test_sockets[0]
nexe = trim(r'''
import json
out = {
'data': sorted(id),
'env': zvm_environ
}
out = json.dumps(out)
fp = open(mnfst.channels['/dev/output']['path'], 'wb')
fp.write(out)
fp.close()
resp = '\n'.join([
'Status: 201 Created',
'Content-Type: text/html',
'', ''
])
return resp
''')
self.create_object(prolis, '/v1/a/c/put.zapp', nexe)
conf = [
{
'name': 'zapp-put',
'exec': {'path': 'swift://a/c/put.zapp'},
'devices': [
{'name': 'stdin'},
{'name': 'stdout',
'content_type': 'message/cgi'},
{'name': 'output',
'content_type': 'application/json',
'path': 'swift://./c/obj.json'}
]
}
]
conf = json.dumps(conf)
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
self.create_object(prolis, '/v1/a/c/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
req = Request.blank('/open/a/c/myapp',
environ={'REQUEST_METHOD': 'PUT'},
headers={
'Content-Type': 'application/x-pickle'})
random_data = self.get_random_numbers()
data = StringIO(random_data)
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 201)
for status in res.headers['x-nexe-status'].split(','):
self.assertEqual(status, 'ok.')
self.assertNotIn('x-nexe-error', res.headers)
req = self.object_request('/v1/a/c/obj.json')
res = req.get_response(prosrv)
self.assertEqual(res.status_int, 200)
body = json.loads(res.body)
self.assertEqual(pickle.dumps(body['data']),
self.get_sorted_numbers())
self.assertEqual(body['env']['REQUEST_METHOD'], 'PUT')
self.assertEqual(body['env']['REQUEST_URI'], '/open/a/c/myapp')
self.check_container_integrity(prosrv, '/v1/a/c', {})
def test_zapp_get(self):
self.setup_QUERY()
prosrv = _test_servers[0]
prolis = _test_sockets[0]
nexe = trim(r'''
import json
import urlparse
qs = zvm_environ['QUERY_STRING']
params = dict(urlparse.parse_qsl(qs, True))
start = int(params['start'])
end = int(params['end'])
out = {
'data': sorted(id)[start:end],
'env': zvm_environ
}
out = json.dumps(out)
resp = '\n'.join([
'Status: 200 OK',
'Content-Type: application/json',
'', ''
])
return resp + out
''')
self.create_object(prolis, '/v1/a/c/get.zapp', nexe)
conf = [
{
'name': 'zapp-get',
'exec': {'path': 'swift://a/c/get.zapp'},
'devices': [
{'name': 'stdin',
'path': 'swift://./c_in1/input1'},
{'name': 'stdout',
'content_type': 'message/cgi'}
]
}
]
conf = json.dumps(conf)
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
self.create_object(prolis, '/v1/a/c/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
req = Request.blank('/open/a/c/myapp',
environ={'REQUEST_METHOD': 'GET'},
headers={
'Content-Type': 'application/x-pickle'})
start = 1
end = 5
req.query_string = 'start=%d&end=%d' % (start, end)
res = req.get_response(prosrv)
self.executed_successfully(res)
body = json.loads(res.body)
self.assertEqual(pickle.dumps(body['data']),
self.get_sorted_numbers(start, end))
self.assertEqual(body['env']['REQUEST_METHOD'], 'GET')
self.assertEqual(body['env']['REQUEST_URI'],
'/open/a/c/myapp?start=%d&end=%d' % (start, end))
self.assertEqual(body['env']['SCRIPT_NAME'], 'zapp-get')
self.check_container_integrity(prosrv, '/v1/a/c', {})
def test_zapp_head(self):
self.setup_QUERY()
prosrv = _test_servers[0]
prolis = _test_sockets[0]
nexe = trim(r'''
import json
import urlparse
qs = zvm_environ['QUERY_STRING']
params = dict(urlparse.parse_qsl(qs, True))
start = int(params['start'])
end = int(params['end'])
out = {
'data': sorted(id)[start:end]
}
out = json.dumps(out)
resp = '\n'.join([
'Status: 200 OK',
'Content-Type: application/json',
'Content-Length: %d' % len(out),
'X-Seq-Start: %d' % start,
'X-Seq-End: %d' % end,
'', ''
])
return resp
''')
self.create_object(prolis, '/v1/a/c/get.zapp', nexe)
conf = [
{
'name': 'zapp-get',
'exec': {'path': 'swift://a/c/get.zapp'},
'devices': [
{'name': 'stdin',
'path': 'swift://./c_in1/input1'},
{'name': 'stdout',
'content_type': 'message/cgi'}
]
}
]
conf = json.dumps(conf)
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
self.create_object(prolis, '/v1/a/c/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
req = Request.blank('/open/a/c/myapp',
environ={'REQUEST_METHOD': 'HEAD'},
headers={
'Content-Type': 'application/x-pickle'})
start = 1
end = 5
req.query_string = 'start=%d&end=%d' % (start, end)
res = req.get_response(prosrv)
self.executed_successfully(res)
data = self.get_random_numbers()
out = {
'data': sorted(pickle.loads(data))[start:end]
}
out = json.dumps(out)
self.assertEqual(res.content_length, len(out))
self.assertEqual(res.headers['x-seq-start'], str(start))
self.assertEqual(res.headers['x-seq-end'], str(end))
self.check_container_integrity(prosrv, '/v1/a/c', {})
class TestAuthBase(unittest.TestCase, Utils):
"""Base class for tests for authorization, involving the
``X-Container-Meta-Zerovm-Suid`` container header.
"""
def setUp(self):
self.setup_QUERY()
self.prolis = _test_sockets[0]
nexe = trim(r'''
return 'hello, world'
''')
self.create_object(self.prolis, '/v1/a/auth/hello.nexe', nexe)
self.actions = []
self.zerovm_mock = None
self.users = {'a': 'user', 'a1': 'user1'}
self.proxy_server = _test_servers[0]
self.remove_acls('/v1/a/auth')
def tearDown(self):
if self.zerovm_mock:
os.unlink(self.zerovm_mock)
def remove_acls(self, url):
req = Request.blank(url,
environ={'REQUEST_METHOD': 'POST'},
headers={'X-Remove-Container-Read': 't',
'X-Remove-Container-Write': 't'})
req.environ['swift_owner'] = True
res = req.get_response(_test_servers[0])
self.assertEqual(res.status_int, 204)
def set_acls(self, url, read=None, write=None):
headers = {}
if read:
headers['X-Container-Read'] = read
if write:
headers['X-Container-Write'] = write
req = Request.blank(url,
environ={'REQUEST_METHOD': 'POST'},
headers=headers)
req.environ['swift_owner'] = True
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 204)
def set_suid(self, container, suid):
headers = {
'X-Container-Meta-Zerovm-Suid': suid
}
req = Request.blank(container,
environ={'REQUEST_METHOD': 'POST'},
headers=headers)
req.environ['swift_owner'] = True
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 204)
def set_endpoint(self, container, endpoint, suid=None):
# Typically, `Zerovm-Suid` must be set in conjunction with
# `Rest-Endpoint`. So we can set both at the same time.
headers = {
'X-Container-Meta-Rest-Endpoint': endpoint,
}
if suid is not None:
headers['X-Container-Meta-Zerovm-Suid'] = suid
req = Request.blank(container,
environ={'REQUEST_METHOD': 'POST'},
headers=headers)
req.environ['swift_owner'] = True
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 204)
def remove_suid(self, url):
headers = {
'X-Remove-Container-Meta-Rest-Endpoint': 't',
'X-Remove-Container-Meta-Zerovm-Suid': 't'
}
req = Request.blank(url,
environ={'REQUEST_METHOD': 'POST'},
headers=headers)
req.environ['swift_owner'] = True
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 204)
class TestAuthPostJson(TestAuthBase):
def test_post_owner(self):
# test owner posts json
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/auth/hello.nexe"},
"file_list": [
{"device": "stdout"}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request(user=self.users['a'])
req.body = conf
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
self.check_container_integrity(self.proxy_server, '/v1/a/auth', {})
self.assertEqual(
['Allowed Owner to POST swift://a with 1.0',
'Allowed Owner to GET swift://a/auth/hello.nexe with 1.0'],
self.actions)
def test_post_other(self):
# test other user posts json
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/auth/hello.nexe"},
"file_list": [
{"device": "stdout"}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request(user=self.users['a1'])
req.body = conf
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 403)
self.assertTrue(res.body is not None)
self.assertEqual(len(self.actions), 1)
self.assertEqual(['Denied user1 to POST swift://a with 1.0'],
self.actions)
def test_post_owner_read_other_with_perm(self):
# test owner post json that reads object in another account,
# and read permission is set
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/auth/hello.nexe"},
"file_list": [
{"device": "stdout"}
]
}
]
conf = json.dumps(conf)
self.set_acls('/v1/a/auth', read='user1')
req = self.zerovm_request(user=self.users['a1'])
req.path_info = '/v1/a1'
req.body = conf
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
self.assertEqual(
['Allowed Owner to POST swift://a1 with 1.0',
'Allowed user1 to GET swift://a/auth/hello.nexe with 1.0'],
self.actions)
def test_post_owner_read_other_no_perm(self):
# test owner post json that reads object in another account,
# and read permission is NOT set
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/auth/hello.nexe"},
"file_list": [
{"device": "stdout"}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request(user=self.users['a1'])
req.path_info = '/v1/a1'
req.body = conf
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 403)
self.assertTrue(res.body is not None)
self.assertEqual(
['Allowed Owner to POST swift://a1 with 1.0',
'Denied user1 to GET swift://a/auth/hello.nexe with 1.0'],
self.actions)
def test_post_owner_read_write_other_with_perm(self):
# test owner post json that reads object in another account,
# and read permission is set, it also writes to another object, and
# write permission is set
self.set_acls('/v1/a/auth', read='user1', write='user1')
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/auth/hello.nexe"},
"file_list": [
{"device": "stdout"},
{"device": "stderr",
"path": "swift://a/auth/hello.log"}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request(user=self.users['a1'])
req.path_info = '/v1/a1'
req.body = conf
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
self.assertEqual(
['Allowed Owner to POST swift://a1 with 1.0',
'Allowed user1 to GET swift://a/auth/hello.nexe with 1.0',
'Allowed user1 to PUT swift://a/auth/hello.log with 1.0'],
self.actions)
def test_post_owner_read_write_other_no_perm(self):
# test owner post json that reads object in another account,
# and read permission is set, it also writes to another object, and
# write permission is NOT set
self.set_acls('/v1/a/auth', read='user1')
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/auth/hello.nexe"},
"file_list": [
{"device": "stdout"},
{"device": "stderr",
"path": "swift://a/auth/hello.log"}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request(user=self.users['a1'])
req.path_info = '/v1/a1'
req.body = conf
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 403)
self.assertTrue(res.body is not None)
self.assertEqual(
['Allowed Owner to POST swift://a1 with 1.0',
'Allowed user1 to GET swift://a/auth/hello.nexe with 1.0',
'Denied user1 to PUT swift://a/auth/hello.log with 1.0'],
self.actions)
def test_post_owner_read_local_read_write_remote(self):
# test owner post json that reads object locally, another object
# remotely and writes yet another object
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/auth/hello.nexe"},
"file_list": [
{"device": "stdout"},
{'device': 'stdin', 'path': 'swift://a/c/o'},
{"device": "stderr",
"path": "swift://a/auth/hello.log"}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request(user=self.users['a'])
req.body = conf
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
self.assertEqual(
['Allowed Owner to POST swift://a with 1.0',
'Allowed Owner to POST swift://a/c/o with 1.0',
'Allowed Owner to GET swift://a/auth/hello.nexe with 1.0',
'Allowed Owner to PUT swift://a/auth/hello.log with 1.0'],
self.actions)
def test_post_owner_read_local_read_write_remote_other(self):
# test owner post json that reads object from other account locally,
# reads another object from other account remotely and writes yet
# another object from other account, and NO permissions are set
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/auth/hello.nexe"},
"file_list": [
{"device": "stdout"},
{'device': 'stdin', 'path': 'swift://a/c/o'},
{"device": "stderr",
"path": "swift://a/auth/hello.log"}
]
}
]
conf = json.dumps(conf)
self.set_acls('/v1/a/auth', read='user1', write='user1')
req = self.zerovm_request(user=self.users['a1'])
req.path_info = '/v1/a1'
req.body = conf
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 403)
self.assertTrue(res.body is not None)
self.assertEqual(
['Allowed Owner to POST swift://a1 with 1.0',
'Denied user1 to POST swift://a/c/o with 1.0'],
self.actions)
def test_post_owner_read_local_read_write_remote_other_with_perm(self):
# test owner post json that reads object from other account locally,
# reads another object from other account remotely and writes yet
# another object from other account, and permissions are set for
# both read and write
self.set_acls('/v1/a/auth', read='user1', write='user1')
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/auth/hello.nexe"},
"file_list": [
{"device": "stdout"},
{'device': 'stdin',
'path': 'swift://a/auth/hello.nexe'},
{"device": "stderr",
"path": "swift://a/auth/hello.log"}
]
}
]
conf = json.dumps(conf)
req = self.zerovm_request(user=self.users['a1'])
req.path_info = '/v1/a1'
req.body = conf
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 500)
self.assertTrue(res.body is not None)
self.assertEqual(
['Allowed Owner to POST swift://a1 with 1.0',
'Allowed user1 to POST swift://a/auth/hello.nexe with 1.0',
'Allowed user1 to GET swift://a/auth/hello.nexe with 1.0',
'Allowed user1 to PUT swift://a/auth/hello.log with 1.0'],
self.actions)
def test_post_owner_read_same_object_twice_with_perm(self):
# test owner post json that writes object to other account locally,
# reads another object from other account remotely and reads the
# same object from other account remotely on other channel, although
# the permissions are good the call will fail because it's not
# a valid call (same object referenced twice in remote context)
self.set_acls('/v1/a/auth', read='user1', write='user1')
conf = [
{
"name": "hello",
"exec": {"path": "swift://a/auth/hello.nexe"},
"file_list": [
{"device": "stdout"},
{'device': 'stdin',
'path': 'swift://a/auth/hello.nexe'},
{"device": "stderr",
"path": "swift://a/auth/hello.log"}
],
"attach": "stderr"
}
]
conf = json.dumps(conf)
req = self.zerovm_request(user=self.users['a1'])
req.path_info = '/v1/a1'
req.body = conf
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 400)
self.assertTrue(res.body is not None)
self.assertEqual(
['Allowed Owner to POST swift://a1 with 1.0',
'Allowed user1 to POST swift://a/auth/hello.log with 1.0',
'Allowed user1 to GET swift://a/auth/hello.nexe with 1.0'],
self.actions)
class TestAuthXSource(TestAuthBase):
def test_x_source_with_setuid(self):
# test an app called by other user from x-zerovm-source with set-uid
# permission set
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid='user1')
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/auth/hello.nexe'},
'devices': [
{'name': 'stdin'},
{'name': 'stdout'},
{'name': 'stderr', 'path': 'swift://a/auth/hello.log'}
]
}
]
conf = json.dumps(conf)
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
self.create_object(self.prolis, '/v1/a/auth/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
req = self.zerovm_request(user=self.users['a1'])
req.headers['x-zerovm-source'] = 'swift://a/auth/myapp'
req.headers['content-type'] = 'application/x-pickle'
random_data = self.get_random_numbers()
data = StringIO(random_data)
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
self.assertEqual(
['Denied user1 to GET swift://a/auth/myapp with v1',
'Allowed user1 to GET swift://a/auth/myapp with v1',
'Denied user1 to POST swift://a with 1.0',
'Allowed user1 to POST swift://a with 1.0',
'Denied user1 to GET swift://a/auth/hello.nexe with 1.0',
'Allowed user1 to GET swift://a/auth/hello.nexe with 1.0',
'Denied user1 to PUT swift://a/auth/hello.log with 1.0',
'Allowed user1 to PUT swift://a/auth/hello.log with 1.0'],
self.actions)
def test_x_source_with_read_setuid_and_no_write_setuid(self):
# test an app called by other user from x-zerovm-source with set-uid
# permission set and NO set-uid permission set on writeable channel
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid='user1')
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/auth/hello.nexe'},
'devices': [
{'name': 'stdin'},
{'name': 'stdout'},
{'name': 'stderr', 'path': 'swift://a/auth1/hello.log'}
]
}
]
conf = json.dumps(conf)
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
self.create_object(self.prolis, '/v1/a/auth/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
req = self.zerovm_request(user=self.users['a1'])
req.headers['x-zerovm-source'] = 'swift://a/auth/myapp'
req.headers['content-type'] = 'application/x-pickle'
random_data = self.get_random_numbers()
data = StringIO(random_data)
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 403)
self.assertTrue(res.body is not None)
self.assertEqual(
['Denied user1 to GET swift://a/auth/myapp with v1',
'Allowed user1 to GET swift://a/auth/myapp with v1',
'Denied user1 to POST swift://a with 1.0',
'Allowed user1 to POST swift://a with 1.0',
'Denied user1 to GET swift://a/auth/hello.nexe with 1.0',
'Allowed user1 to GET swift://a/auth/hello.nexe with 1.0',
'Denied user1 to PUT swift://a/auth1/hello.log with 1.0'],
self.actions)
def test_x_source_with_read_setuid_and_write_setuid(self):
# test an app called by other user from x-zerovm-source with set-uid
# permission set and set-uid permission set on writeable channel
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid='user1')
self.set_endpoint('/v1/a/auth1', 'swift://a/auth/myapp', suid='user1')
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/auth/hello.nexe'},
'devices': [
{'name': 'stdin'},
{'name': 'stdout'},
{'name': 'stderr', 'path': 'swift://a/auth1/hello.log'}
]
}
]
conf = json.dumps(conf)
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
self.create_object(self.prolis, '/v1/a/auth/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
req = self.zerovm_request(user=self.users['a1'])
req.headers['x-zerovm-source'] = 'swift://a/auth/myapp'
req.headers['content-type'] = 'application/x-pickle'
random_data = self.get_random_numbers()
data = StringIO(random_data)
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
self.assertEqual(
['Denied user1 to GET swift://a/auth/myapp with v1',
'Allowed user1 to GET swift://a/auth/myapp with v1',
'Denied user1 to POST swift://a with 1.0',
'Allowed user1 to POST swift://a with 1.0',
'Denied user1 to GET swift://a/auth/hello.nexe with 1.0',
'Allowed user1 to GET swift://a/auth/hello.nexe with 1.0',
'Denied user1 to PUT swift://a/auth1/hello.log with 1.0',
'Allowed user1 to PUT swift://a/auth1/hello.log with 1.0'],
self.actions)
def test_x_source_with_setuid_for_other_object(self):
# test an app called by other user from x-zerovm-source with set-uid
# permission set for different x-zerovm-source header
self.remove_suid('/v1/a/auth1')
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp1', suid='user1')
conf = [
{
'name': 'sort',
'exec': {'path': 'swift://a/auth/hello.nexe'},
'devices': [
{'name': 'stdin'},
{'name': 'stdout'},
{'name': 'stderr', 'path': 'swift://a/auth/hello.log'}
]
}
]
conf = json.dumps(conf)
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
self.create_object(self.prolis, '/v1/a/auth/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
req = self.zerovm_request(user=self.users['a1'])
req.headers['x-zerovm-source'] = 'swift://a/auth/myapp'
req.headers['content-type'] = 'application/x-pickle'
random_data = self.get_random_numbers()
data = StringIO(random_data)
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 403)
self.assertTrue(res.body is not None)
self.assertEqual(
['Denied user1 to GET swift://a/auth/myapp with v1'],
self.actions)
class TestAuthOpen(TestAuthBase):
"""Authorization tests using the open/1.0 execution method.
"""
def test_open_owner(self):
# test an open call to app by owner
self.remove_suid('/v1/a/auth')
self.remove_suid('/v1/a/auth1')
conf = [
{
'name': 'zapp-post',
'exec': {'path': 'swift://a/auth/hello.nexe'},
'devices': [
{'name': 'stdin'},
{'name': 'stdout'}
]
}
]
conf = json.dumps(conf)
sysmap = StringIO(conf)
with self.create_tar({CLUSTER_CONFIG_FILENAME: sysmap}) as tar:
self.create_object(self.prolis, '/v1/a/c/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
req = Request.blank('/open/a/c/myapp',
environ={'REQUEST_METHOD': 'POST'},
headers={
'Content-Type': 'application/x-pickle'})
self.add_auth_data(req, 'user')
random_data = self.get_random_numbers()
data = StringIO(random_data)
req.body_file = data
req.content_length = len(random_data)
res = req.get_response(self.proxy_server)
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
self.assertEqual(
['Allowed Owner to GET swift://a/c/myapp with open/1.0',
'Allowed Owner to GET swift://a/c/myapp with v1',
'Allowed Owner to POST swift://a/c/myapp with open/1.0',
'Allowed Owner to GET swift://a/auth/hello.nexe with '
'open/1.0'],
self.actions)
class TestAuthApi(TestAuthBase):
"""Authorization tests using the api/1.0 execution method.
"""
def setUp(self):
# This will create for us the 'hello.nexe' executable at
# swift://a/auth/hello.nexe
super(TestAuthApi, self).setUp()
self.sysmap = StringIO(json.dumps([
{
'name': 'zapp',
'exec': {'path': 'swift://a/auth/hello.nexe'},
'devices': [
{'name': 'stdin'},
{'name': 'stdout'}
]
}
]))
with self.create_tar({CLUSTER_CONFIG_FILENAME: self.sysmap}) as tar:
self.create_object(self.prolis, '/v1/a/auth/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
# Set up the client request
random_data = self.get_random_numbers()
data = StringIO(random_data)
# NOTE(larsbutler): The method doesn't really matter.
method = 'DELETE'
self.req = Request.blank(
'/api/a/auth',
environ={'REQUEST_METHOD': method},
headers={'Content-Type': 'application/x-pickle'}
)
self.req.body_file = data
self.req.content_length = len(random_data)
self.create_container(self.prolis, '/v1/a/test')
self.create_container(self.prolis, '/v1/a/test2')
self.request_user = None
def _get_response(self):
# Helper to actually execute the client request, and return the http
# response.
self.assertIsNotNone(self.request_user)
self.add_auth_data(self.req, self.request_user)
return self.req.get_response(self.proxy_server)
def tearDown(self):
super(TestAuthApi, self).tearDown()
self.remove_acls('/v1/a/auth')
self.remove_acls('/v1/a/test')
self.remove_acls('/v1/a/test2')
self.remove_suid('/v1/a/auth')
self.remove_suid('/v1/a/test')
self.remove_suid('/v1/a/test2')
def assertActionsEqual(self, expected, actual):
expected = [x % dict(ru=self.request_user) for x in expected]
self.assertEqual(expected, actual)
class ApiAuthTestsMixin:
"""Template mixin containing api/1.0 auth test procedures.
Subclasses should inherit from TestAuthApi and this, then set
`self.request_user` and `self.suid` in `setUp()`.
"""
def test_execute(self):
# Test an api call to `auth` container by a user other than the owner.
# Setuid permissions are used to grant this user access.
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp',
suid=self.suid)
res = self._get_response()
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to GET swift://a/auth/hello.nexe '
'with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/hello.nexe '
'with api/1.0'
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_no_perm(self):
# Test an api call to `auth` container by a user other than the owner.
# Setuid permissions are not set for this user, so execution is denied.
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid='')
res = self._get_response()
self.assertEqual(res.status_int, 403)
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_read_other_object(self):
# Test an api call to the `auth` container by a user other than the
# owner. The application executed reads from an object in a separate
# container.
# Setuid permissions are set on both containers to allow execution.
self.sysmap = StringIO(json.dumps([
{
'name': 'zapp',
'exec': {'path': 'swift://a/auth/hello.nexe'},
'devices': [
{'name': 'stdin'},
{'name': 'stdout'},
{'name': 'input', 'path': 'swift://a/test/foo.txt'},
]
}
]))
with self.create_tar({CLUSTER_CONFIG_FILENAME: self.sysmap}) as tar:
self.create_object(self.prolis, '/v1/a/auth/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
self.create_object(self.prolis, '/v1/a/test/foo.txt', 'foobar')
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp',
suid=self.suid)
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp',
suid=self.suid)
res = self._get_response()
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to POST swift://a/test/foo.txt with api/1.0',
'Allowed %(ru)s to POST swift://a/test/foo.txt with api/1.0',
'Denied %(ru)s to GET swift://a/auth/hello.nexe '
'with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/hello.nexe '
'with api/1.0'
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_read_other_object_no_perm(self):
# Test an api call to the `auth` container by a user other than the
# owner. The application executed reads from an object in a separate
# container.
# Setuid permissions are set to allow execution on the app, but the
# container with the object to be read does not allow suid to the
# requestor.
self.sysmap = StringIO(json.dumps([
{
'name': 'zapp',
'exec': {'path': 'swift://a/auth/hello.nexe'},
'devices': [
{'name': 'stdin'},
{'name': 'stdout'},
{'name': 'input', 'path': 'swift://a/test/foo.txt'},
]
}
]))
with self.create_tar({CLUSTER_CONFIG_FILENAME: self.sysmap}) as tar:
self.create_object(self.prolis, '/v1/a/auth/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
self.create_object(self.prolis, '/v1/a/test/foo.txt', 'foobar')
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp',
suid=self.suid)
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp')
res = self._get_response()
self.assertEqual(res.status_int, 403)
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to POST swift://a/test/foo.txt with api/1.0',
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_write_other_object(self):
self.sysmap = StringIO(json.dumps([
{
'name': 'zapp',
'exec': {'path': 'swift://a/auth/hello.nexe'},
'devices': [
{'name': 'stdin'},
{'name': 'stdout'},
{'name': 'output', 'path': 'swift://a/test/bar.txt'},
]
}
]))
with self.create_tar({CLUSTER_CONFIG_FILENAME: self.sysmap}) as tar:
self.create_object(self.prolis, '/v1/a/auth/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp',
suid=self.suid)
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp',
suid=self.suid)
res = self._get_response()
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to GET swift://a/auth/hello.nexe '
'with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/hello.nexe '
'with api/1.0',
'Denied %(ru)s to PUT swift://a/test/bar.txt with api/1.0',
'Allowed %(ru)s to PUT swift://a/test/bar.txt with api/1.0',
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_write_other_object_no_perm(self):
self.sysmap = StringIO(json.dumps([
{
'name': 'zapp',
'exec': {'path': 'swift://a/auth/hello.nexe'},
'devices': [
{'name': 'stdin'},
{'name': 'stdout'},
{'name': 'output', 'path': 'swift://a/test/bar.txt'},
]
}
]))
with self.create_tar({CLUSTER_CONFIG_FILENAME: self.sysmap}) as tar:
self.create_object(self.prolis, '/v1/a/auth/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp',
suid=self.suid)
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp')
res = self._get_response()
self.assertEqual(res.status_int, 403)
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to GET swift://a/auth/hello.nexe '
'with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/hello.nexe '
'with api/1.0',
'Denied %(ru)s to PUT swift://a/test/bar.txt with api/1.0',
]
self.assertActionsEqual(expected_actions, self.actions)
class TestAuthApiCallByOwner(TestAuthApi):
def setUp(self):
super(TestAuthApiCallByOwner, self).setUp()
self.request_user = 'user'
def test_api_call_by_owner(self):
# Test an api call to `auth` container by the user who owns it.
# No setuid permission is required for this to be allowed.
# An authenticated user can do anything with their own containers,
# applications, and objects.
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid='')
res = self._get_response()
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, 'hello, world')
expected_actions = [
'Allowed Owner to GET swift://a/auth/myapp with api/1.0',
'Allowed Owner to GET swift://a/auth/myapp with v1',
# TODO(larsbutler): Why is this always a POST, despite the request
# method above?
'Allowed Owner to POST swift://a/auth with api/1.0',
'Allowed Owner to GET swift://a/auth/hello.nexe '
'with api/1.0'
]
self.assertEqual(expected_actions, self.actions)
class ApiAuthChainTestsMixin:
"""Template mixin containing api/1.0 auth test procedures, which include
job chaining.
Subclasses should inherit from TestAuthApi and this, then set
`self.request_user` and `self.suid` in `setUp()`.
"""
def _setup_chain_test(self, extra_devices=None):
self.create_container(self.prolis, '/v1/a/auth')
self.create_container(self.prolis, '/v1/a/test')
self.create_container(self.prolis, '/v1/a/test2')
if extra_devices is None:
extra_devices = []
nexe2_conf = [
{
'name': 'http',
'exec': {'path': 'swift://a/test/nexe2'},
'file_list': [
{
'device': 'stdout',
'content_type': 'message/http',
},
]
}
]
for ed in extra_devices:
nexe2_conf[0]['file_list'].append(ed)
chainer_nexe = trim(r'''
import json
conf = %(nexe2_conf)s
out = json.dumps(conf)
resp = '\n'.join([
'HTTP/1.1 200 OK',
'Content-Type: application/json',
'X-Zerovm-Execute: 1.0',
'', ''
])
return resp + out
''' % dict(nexe2_conf=json.dumps(nexe2_conf)))
self.create_object(self.prolis, '/v1/a/auth/chainer', chainer_nexe)
nexe2 = trim(r'''
resp = '\n'.join([
'HTTP/1.1 200 OK',
'Content-Type: text/html',
'X-Object-Meta-Key1: value1',
'X-Object-Meta-Key2: value2',
'', ''
])
out = '<html><body>Test this</body></html>'
return resp + out
''')
self.create_object(self.prolis, '/v1/a/test/nexe2', nexe2)
self.sysmap = StringIO(json.dumps([
{
'name': 'http',
'exec': {'path': 'swift://a/auth/chainer'},
'file_list': [
{
'device': 'stdout',
'content_type': 'message/http'
}
]
}
]))
with self.create_tar({CLUSTER_CONFIG_FILENAME: self.sysmap}) as tar:
self.create_object(self.prolis, '/v1/a/auth/myapp',
open(tar, 'rb').read(),
content_type='application/x-tar')
# Set up the client request
random_data = self.get_random_numbers()
data = StringIO(random_data)
# NOTE(larsbutler): The method doesn't really matter.
method = 'DELETE'
self.req = Request.blank(
'/api/a/auth',
environ={'REQUEST_METHOD': method},
headers={'Content-Type': 'application/x-pickle'}
)
self.req.body_file = data
self.req.content_length = len(random_data)
def test_execute(self):
self._setup_chain_test()
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid=self.suid)
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp', suid=self.suid)
res = self._get_response()
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '<html><body>Test this</body></html>')
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Denied %(ru)s to POST swift://a with 1.0',
'Allowed %(ru)s to POST swift://a with 1.0',
'Denied %(ru)s to GET swift://a/test/nexe2 with 1.0',
'Allowed %(ru)s to GET swift://a/test/nexe2 with 1.0',
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_no_perm(self):
self._setup_chain_test()
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid=self.suid)
# don't grant suid on `test` container, where `nexe2` resides
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp')
res = self._get_response()
self.assertEqual(res.status_int, 403)
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Denied %(ru)s to POST swift://a with 1.0',
'Allowed %(ru)s to POST swift://a with 1.0',
'Denied %(ru)s to GET swift://a/test/nexe2 with 1.0',
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_read_other_object(self):
# the chain-called `nexe2` reads from an object in a third container
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid=self.suid)
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp', suid=self.suid)
self.set_endpoint('/v1/a/test2', 'swift://a/auth/myapp',
suid=self.suid)
self.create_object(self.prolis, '/v1/a/test2/baz.txt', 'baz')
self._setup_chain_test(extra_devices=[
{'name': 'input', 'path': 'swift://a/test2/baz.txt'},
])
res = self._get_response()
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '<html><body>Test this</body></html>')
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Denied %(ru)s to POST swift://a with 1.0',
'Allowed %(ru)s to POST swift://a with 1.0',
'Denied %(ru)s to POST swift://a/test2/baz.txt with 1.0',
'Allowed %(ru)s to POST swift://a/test2/baz.txt with 1.0',
'Denied %(ru)s to GET swift://a/test/nexe2 with 1.0',
'Allowed %(ru)s to GET swift://a/test/nexe2 with 1.0'
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_read_other_object_no_perm_1(self):
# neither endpoint nor suid is set on the test file read by the
# chain-called `nexe2`
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid=self.suid)
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp', suid=self.suid)
self.create_object(self.prolis, '/v1/a/test2/baz.txt', 'baz')
self._setup_chain_test(extra_devices=[
{'name': 'input', 'path': 'swift://a/test2/baz.txt'},
])
res = self._get_response()
self.assertEqual(res.status_int, 403)
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Denied %(ru)s to POST swift://a with 1.0',
'Allowed %(ru)s to POST swift://a with 1.0',
'Denied %(ru)s to POST swift://a/test2/baz.txt with 1.0',
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_read_other_object_no_perm_2(self):
# suid is set on the test file read by the chain-called nexe2,
# but no endpoint is set
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid=self.suid)
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp', suid=self.suid)
self.set_suid('/v1/a/test2', self.suid)
self.create_object(self.prolis, '/v1/a/test2/baz.txt', 'baz')
self._setup_chain_test(extra_devices=[
{'name': 'input', 'path': 'swift://a/test2/baz.txt'},
])
res = self._get_response()
self.assertEqual(res.status_int, 403)
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Denied %(ru)s to POST swift://a with 1.0',
'Allowed %(ru)s to POST swift://a with 1.0',
'Denied %(ru)s to POST swift://a/test2/baz.txt with 1.0',
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_read_other_object_no_perm_3(self):
# endpoint is set on the test file read by the chain-called nexe2,
# but no suid is set
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid=self.suid)
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp', suid=self.suid)
self.set_endpoint('/v1/a/test2', 'swift://a/auth/myapp', suid='')
self.create_object(self.prolis, '/v1/a/test2/baz.txt', 'baz')
self._setup_chain_test(extra_devices=[
{'name': 'input', 'path': 'swift://a/test2/baz.txt'},
])
res = self._get_response()
self.assertEqual(res.status_int, 403)
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Denied %(ru)s to POST swift://a with 1.0',
'Allowed %(ru)s to POST swift://a with 1.0',
'Denied %(ru)s to POST swift://a/test2/baz.txt with 1.0',
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_write_other_object(self):
# the chain-called `nexe2` writes to an object in a third container
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid=self.suid)
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp', suid=self.suid)
self.set_endpoint('/v1/a/test2', 'swift://a/auth/myapp',
suid=self.suid)
self._setup_chain_test(extra_devices=[
{'name': 'output', 'path': 'swift://a/test2/baz.txt'},
])
res = self._get_response()
self.assertEqual(res.status_int, 200)
self.assertEqual(res.body, '<html><body>Test this</body></html>')
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Denied %(ru)s to POST swift://a with 1.0',
'Allowed %(ru)s to POST swift://a with 1.0',
'Denied %(ru)s to GET swift://a/test/nexe2 with 1.0',
'Allowed %(ru)s to GET swift://a/test/nexe2 with 1.0',
'Denied %(ru)s to PUT swift://a/test2/baz.txt with 1.0',
'Allowed %(ru)s to PUT swift://a/test2/baz.txt with 1.0',
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_write_other_object_no_perm_1(self):
# neither endpoint nor suid is set on the test file read by the
# chain-called `nexe2`
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid=self.suid)
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp', suid=self.suid)
self._setup_chain_test(extra_devices=[
{'name': 'output', 'path': 'swift://a/test2/baz.txt'},
])
res = self._get_response()
self.assertEqual(res.status_int, 403)
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Denied %(ru)s to POST swift://a with 1.0',
'Allowed %(ru)s to POST swift://a with 1.0',
'Denied %(ru)s to GET swift://a/test/nexe2 with 1.0',
'Allowed %(ru)s to GET swift://a/test/nexe2 with 1.0',
'Denied %(ru)s to PUT swift://a/test2/baz.txt with 1.0',
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_write_other_object_no_perm_2(self):
# suid is set on the test file read by the chain-called nexe2,
# but no endpoint is set
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid=self.suid)
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp', suid=self.suid)
self.set_suid('/v1/a/test2', self.suid)
self._setup_chain_test(extra_devices=[
{'name': 'output', 'path': 'swift://a/test2/baz.txt'},
])
res = self._get_response()
self.assertEqual(res.status_int, 403)
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Denied %(ru)s to POST swift://a with 1.0',
'Allowed %(ru)s to POST swift://a with 1.0',
'Denied %(ru)s to GET swift://a/test/nexe2 with 1.0',
'Allowed %(ru)s to GET swift://a/test/nexe2 with 1.0',
'Denied %(ru)s to PUT swift://a/test2/baz.txt with 1.0',
]
self.assertActionsEqual(expected_actions, self.actions)
def test_execute_write_other_object_no_perm_3(self):
# endpoint is set on the test file read by the chain-called nexe2,
# but no suid is set
self.set_endpoint('/v1/a/auth', 'swift://a/auth/myapp', suid=self.suid)
self.set_endpoint('/v1/a/test', 'swift://a/auth/myapp', suid=self.suid)
self.set_endpoint('/v1/a/test2', 'swift://a/auth/myapp', suid='')
self._setup_chain_test(extra_devices=[
{'name': 'output', 'path': 'swift://a/test2/baz.txt'},
])
res = self._get_response()
self.assertEqual(res.status_int, 403)
expected_actions = [
'Denied %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/myapp with api/1.0',
'Denied %(ru)s to GET swift://a/auth/myapp with v1',
'Allowed %(ru)s to GET swift://a/auth/myapp with v1',
'Denied %(ru)s to POST swift://a/auth with api/1.0',
'Allowed %(ru)s to POST swift://a/auth with api/1.0',
'Denied %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Allowed %(ru)s to GET swift://a/auth/chainer with api/1.0',
'Denied %(ru)s to POST swift://a with 1.0',
'Allowed %(ru)s to POST swift://a with 1.0',
'Denied %(ru)s to GET swift://a/test/nexe2 with 1.0',
'Allowed %(ru)s to GET swift://a/test/nexe2 with 1.0',
'Denied %(ru)s to PUT swift://a/test2/baz.txt with 1.0',
]
self.assertActionsEqual(expected_actions, self.actions)
class TestAuthApiCallByOther(TestAuthApi, ApiAuthTestsMixin):
"""Run tests using the `user1` as the request user. `user` owns the
resources in these tests, and grants/denies access to `user1` by
setting/not setting Rest-Endpoint and Zerovm-Suid headers on containers.
"""
def setUp(self):
super(TestAuthApiCallByOther, self).setUp()
self.request_user = 'user1'
self.suid = 'user1'
class TestAuthApiCallByAnonymous(TestAuthApi, ApiAuthTestsMixin):
"""Run tests using an anonymous user as the request user. `user` owns the
resources in these tests, and grants/denies access to anonymous user by
setting/not setting Rest-Endpoint and Zerovm-Suid headers on containers.
"""
def setUp(self):
super(TestAuthApiCallByAnonymous, self).setUp()
self.create_container(self.prolis, '/v1/a/test')
self.request_user = 'Anonymous'
self.suid = '.r:*'
class TestAuthApiChainCallByOther(TestAuthApi, ApiAuthChainTestsMixin):
def setUp(self):
super(TestAuthApiChainCallByOther, self).setUp()
self.request_user = 'user1'
self.suid = 'user1'
class TestAuthApiChainCallByAnonymous(TestAuthApi, ApiAuthChainTestsMixin):
def setUp(self):
super(TestAuthApiChainCallByAnonymous, self).setUp()
self.request_user = 'Anonymous'
self.suid = '.r:*'
| 39.413085 | 79 | 0.481424 | 24,104 | 224,694 | 4.359484 | 0.039537 | 0.03089 | 0.052588 | 0.019471 | 0.827286 | 0.798831 | 0.770244 | 0.753086 | 0.73431 | 0.720159 | 0 | 0.019711 | 0.379756 | 224,694 | 5,700 | 80 | 39.42 | 0.734288 | 0.029044 | 0 | 0.656779 | 0 | 0.003233 | 0.242405 | 0.037637 | 0 | 0 | 0 | 0.000175 | 0.096977 | 0 | null | null | 0.000951 | 0.011789 | null | null | 0.001902 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
6651a24eaf0363fd5ec60a02d13e98212d6a19ff | 128 | py | Python | python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_0/_pkg1_0_0/_pkg1_0_0_1/_pkg1_0_0_1_0/_mod1_0_0_1_0_0.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_0/_pkg1_0_0/_pkg1_0_0_1/_pkg1_0_0_1_0/_mod1_0_0_1_0_0.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/completion/heavyStarPropagation/lib/_pkg1/_pkg1_0/_pkg1_0_0/_pkg1_0_0_1/_pkg1_0_0_1_0/_mod1_0_0_1_0_0.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | name1_0_0_1_0_0_0 = None
name1_0_0_1_0_0_1 = None
name1_0_0_1_0_0_2 = None
name1_0_0_1_0_0_3 = None
name1_0_0_1_0_0_4 = None | 14.222222 | 24 | 0.820313 | 40 | 128 | 1.875 | 0.175 | 0.293333 | 0.24 | 0.533333 | 0.88 | 0.88 | 0.746667 | 0 | 0 | 0 | 0 | 0.318182 | 0.140625 | 128 | 9 | 25 | 14.222222 | 0.363636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
66559329ae24481996a520f85b576fdc27df6191 | 46 | py | Python | pytest_assert_utils/util/__init__.py | sjhewitt/pytest-assert-utils | 6577579c450cfa1c041e6fa86f7adcee644ab02f | [
"MIT"
] | 1 | 2020-05-13T13:40:49.000Z | 2020-05-13T13:40:49.000Z | pytest_assert_utils/util/__init__.py | sjhewitt/pytest-assert-utils | 6577579c450cfa1c041e6fa86f7adcee644ab02f | [
"MIT"
] | null | null | null | pytest_assert_utils/util/__init__.py | sjhewitt/pytest-assert-utils | 6577579c450cfa1c041e6fa86f7adcee644ab02f | [
"MIT"
] | null | null | null | from .assertions import *
from .decl import *
| 15.333333 | 25 | 0.73913 | 6 | 46 | 5.666667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173913 | 46 | 2 | 26 | 23 | 0.894737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
b082cff963a0704c5b0ca81b6dfa2ebb188b1746 | 59,058 | py | Python | tests/test_rib_neg_nhs_to_fib_pos_nhs.py | kennethhuang123/rift-python | f4c208fe39cb14535573708637fa2345c919666b | [
"Apache-2.0"
] | 43 | 2018-07-19T17:41:35.000Z | 2022-03-16T04:04:09.000Z | tests/test_rib_neg_nhs_to_fib_pos_nhs.py | kennethhuang123/rift-python | f4c208fe39cb14535573708637fa2345c919666b | [
"Apache-2.0"
] | 96 | 2018-07-19T11:06:08.000Z | 2021-07-27T10:52:09.000Z | tests/test_rib_neg_nhs_to_fib_pos_nhs.py | kennethhuang123/rift-python | f4c208fe39cb14535573708637fa2345c919666b | [
"Apache-2.0"
] | 29 | 2018-07-24T22:01:20.000Z | 2022-02-13T21:28:18.000Z | from pytest import fixture
from constants import ADDRESS_FAMILY_IPV4, OWNER_N_SPF, OWNER_S_SPF
from forwarding_table import ForwardingTable
from next_hop import NextHop
from packet_common import add_missing_methods_to_thrift, make_ip_address, make_ip_prefix
from rib_route import RibRoute
from route_table import RouteTable
# pylint: disable=invalid-name,too-many-statements,too-many-lines
def mkrt():
# Make a route table
address_family = ADDRESS_FAMILY_IPV4
forwarding_table = ForwardingTable(address_family, kernel=None, log=None, log_id="")
route_table = RouteTable(address_family, forwarding_table, log=None, log_id="")
return route_table
def mkp(prefix_str):
# Make an IP prefix
return make_ip_prefix(prefix_str)
def mkr(prefix_str, next_hops, owner=OWNER_S_SPF):
# Make a RIB route
if next_hops is None:
next_hops = []
return RibRoute(mkp(prefix_str), owner, next_hops)
def mknh_pos(interface_str, address_str):
# Make positive next-hop
if address_str is None:
address = None
else:
address = make_ip_address(address_str)
return NextHop(False, interface_str, address, None)
def mknh_neg(interface_str, address_str):
# Make negative next-hop
if address_str is None:
address = None
else:
address = make_ip_address(address_str)
return NextHop(True, interface_str, address, None)
def check_rib_route(rt, prefix_str, exp_next_hops, exp_owner=OWNER_S_SPF):
assert prefix_str in rt.destinations
best_rib_route = rt.destinations[prefix_str].best_route()
assert best_rib_route is not None
assert str(best_rib_route.prefix) == prefix_str
assert best_rib_route.owner == exp_owner
assert sorted(best_rib_route.next_hops) == sorted(exp_next_hops)
def check_rib_route_absent(rt, prefix_str):
assert prefix_str not in rt.destinations
def check_fib_route(rt, prefix_str, exp_next_hops):
prefix = make_ip_prefix(prefix_str)
fib = rt.fib
assert prefix in fib.fib_routes
fib_route = fib.fib_routes[prefix]
assert fib_route is not None
assert str(fib_route.prefix) == prefix_str
assert sorted(fib_route.next_hops) == sorted(exp_next_hops)
def check_fib_route_absent(rt, prefix_str):
prefix = make_ip_prefix(prefix_str)
fib = rt.fib
assert prefix not in fib.fib_routes
@fixture(autouse=True)
def run_before_every_test_case():
add_missing_methods_to_thrift()
def test_default_route_only():
# Test slide 55 in Pascal's "negative disaggregation" presentation:
rt = mkrt()
# Just a default route with positive next-hops; there are no more specific routes
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
def test_parent_with_negative_child():
# Test slide 56 in Pascal's "negative disaggregation" presentation:
rt = mkrt()
# Start with a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add a more specific child route with a negative next-hop
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if0", "10.0.0.1")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Check negative to positive next-hop conversion in FIB
child_fib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, child_prefix, child_fib_next_hops)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, default_next_hops)
def test_parent_with_two_negative_children():
# Test slide 57 in Pascal's "negative disaggregation" presentation:
rt = mkrt()
# Start a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add first more specific child route with a negative next-hop
first_child_prefix = "10.0.0.0/16"
first_child_rib_next_hops = [mknh_neg("if0", "10.0.0.1")]
first_child_route = mkr(first_child_prefix, first_child_rib_next_hops)
rt.put_route(first_child_route)
check_rib_route(rt, first_child_prefix, first_child_rib_next_hops)
# Add second more specific child route with a negative next-hop
second_child_prefix = "10.1.0.0/16"
second_child_rib_next_hops = [mknh_neg("if3", "10.0.0.4")]
second_child_route = mkr(second_child_prefix, second_child_rib_next_hops)
rt.put_route(second_child_route)
check_rib_route(rt, second_child_prefix, second_child_rib_next_hops)
# Check negative to positive next-hop conversion in FIB
first_child_fib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, first_child_prefix, first_child_fib_next_hops)
second_child_fib_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3")]
check_fib_route(rt, second_child_prefix, second_child_fib_next_hops)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, default_next_hops)
def test_remove_pos_next_hop_from_parent_update_child():
# Test slide 58 in Pascal's "negative disaggregation" presentation.
# Delete a next-hop from a parent route, and check that the computed complementary next-hops in
# the child routes are properly updated.
rt = mkrt()
# Create a parent default route with positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add first more specific child route with a negative next-hop
first_child_prefix = "10.0.0.0/16"
first_child_rib_next_hops = [mknh_neg("if0", "10.0.0.1")]
first_child_route = mkr(first_child_prefix, first_child_rib_next_hops)
rt.put_route(first_child_route)
check_rib_route(rt, first_child_prefix, first_child_rib_next_hops)
# Add second more specific child route with a negative next-hop
second_child_prefix = "10.1.0.0/16"
second_child_rib_next_hops = [mknh_neg("if3", "10.0.0.4")]
second_child_route = mkr(second_child_prefix, second_child_rib_next_hops)
rt.put_route(second_child_route)
check_rib_route(rt, second_child_prefix, second_child_rib_next_hops)
# Check negative to positive next-hop conversion in FIB for both child routes
first_child_fib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, first_child_prefix, first_child_fib_next_hops)
second_child_fib_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3")]
check_fib_route(rt, second_child_prefix, second_child_fib_next_hops)
# Remove one positive next-hop (if2 10.0.0.3) from the default route
new1_default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if3", "10.0.0.4")]
new1_default_route = mkr(default_prefix, new1_default_next_hops)
rt.put_route(new1_default_route)
check_rib_route(rt, default_prefix, new1_default_next_hops)
check_fib_route(rt, default_prefix, new1_default_next_hops)
# Check updated negative to positive next-hop conversion in FIB for both child routes
first_child_new1_fib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, first_child_prefix, first_child_new1_fib_next_hops)
second_child_new1_fib_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2")]
check_fib_route(rt, second_child_prefix, second_child_new1_fib_next_hops)
# Remove another positive next-hop (if3 10.0.0.4) from the default route
new2_default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2")]
new2_default_route = mkr(default_prefix, new2_default_next_hops)
rt.put_route(new2_default_route)
check_rib_route(rt, default_prefix, new2_default_next_hops)
check_fib_route(rt, default_prefix, new2_default_next_hops)
# Check updated negative to positive next-hop conversion in FIB for the first child
first_child_new2_fib_next_hops = [mknh_pos("if1", "10.0.0.2")]
check_fib_route(rt, first_child_prefix, first_child_new2_fib_next_hops)
# Check updated negative to positive next-hop conversion in FIB for the second child; the
# second child ends up with the exact same set of next-hops as the parent route, so it is
# superfluous.
check_fib_route_absent(rt, second_child_prefix)
def test_parent_with_negative_child_and_negative_grandchild():
# Test slides 59 in Pascal's "negative disaggregation" presentation.
rt = mkrt()
# Start with a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add a more specific child route with a negative next-hop
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if0", "10.0.0.1")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Add an even more specific grand-child route with a negative next-hop
grand_child_prefix = "10.0.10.0/24"
grand_child_rib_next_hops = [mknh_neg("if1", "10.0.0.2")]
grand_child_route = mkr(grand_child_prefix, grand_child_rib_next_hops)
rt.put_route(grand_child_route)
check_rib_route(rt, grand_child_prefix, grand_child_rib_next_hops)
# Check child's negative to positive next-hop conversion in FIB
child_fib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, child_prefix, child_fib_next_hops)
# Check grand-child's negative to positive next-hop conversion in FIB
grand_child_fib_next_hops = [mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, grand_child_prefix, grand_child_fib_next_hops)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, default_next_hops)
def test_remove_pos_next_hop_from_parent_update_grand_child():
# Test slide 60 in Pascal's "negative disaggregation" presentation.
rt = mkrt()
# Start with a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add a more specific child route with a negative next-hop
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if0", "10.0.0.1")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Add an even more specific grand-child route with a negative next-hop
grand_child_prefix = "10.0.10.0/24"
grand_child_rib_next_hops = [mknh_neg("if1", "10.0.0.2")]
grand_child_route = mkr(grand_child_prefix, grand_child_rib_next_hops)
rt.put_route(grand_child_route)
check_rib_route(rt, grand_child_prefix, grand_child_rib_next_hops)
# Check child's negative to positive next-hop conversion in FIB
child_fib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, child_prefix, child_fib_next_hops)
# Check grand-child's negative to positive next-hop conversion in FIB
grand_child_fib_next_hops = [mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, grand_child_prefix, grand_child_fib_next_hops)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, default_next_hops)
# Remove one positive next-hop (if2 10.0.0.3) from the default route
new1_default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if3", "10.0.0.4")]
new1_default_route = mkr(default_prefix, new1_default_next_hops)
rt.put_route(new1_default_route)
check_rib_route(rt, default_prefix, new1_default_next_hops)
check_fib_route(rt, default_prefix, new1_default_next_hops)
# Check updated negative to positive next-hop conversion in FIB for child and grand-child routes
child_new1_fib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, child_prefix, child_new1_fib_next_hops)
grand_child_new1_fib_next_hops = [mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, grand_child_prefix, grand_child_new1_fib_next_hops)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, new1_default_next_hops)
def test_recover_default_next_hop_with_subnet_disagg():
# Slide 60 and recover of the failed next hops
rt = mkrt()
# Start with a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add a more specific child route with a negative next-hop
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if0", "10.0.0.1")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Add an even more specific grand-child route with a negative next-hop
grand_child_prefix = "10.0.10.0/24"
grand_child_rib_next_hops = [mknh_neg("if1", "10.0.0.2")]
grand_child_route = mkr(grand_child_prefix, grand_child_rib_next_hops)
rt.put_route(grand_child_route)
check_rib_route(rt, grand_child_prefix, grand_child_rib_next_hops)
# Check child's negative to positive next-hop conversion in FIB
child_fib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, child_prefix, child_fib_next_hops)
# Check grand-child's negative to positive next-hop conversion in FIB
grand_child_fib_next_hops = [mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, grand_child_prefix, grand_child_fib_next_hops)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, default_next_hops)
# Remove one positive next-hop (if2 10.0.0.3) from the default route
new1_default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if3", "10.0.0.4")]
new1_default_route = mkr(default_prefix, new1_default_next_hops)
rt.put_route(new1_default_route)
check_rib_route(rt, default_prefix, new1_default_next_hops)
check_fib_route(rt, default_prefix, new1_default_next_hops)
# Check updated negative to positive next-hop conversion in FIB for child and grand-child routes
child_new1_fib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, child_prefix, child_new1_fib_next_hops)
grand_child_new1_fib_next_hops = [mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, grand_child_prefix, grand_child_new1_fib_next_hops)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, new1_default_next_hops)
# Put back the next-hop in the default route that was previously taken away
rt.put_route(default_route)
# Check child's negative to positive next-hop conversion in FIB
check_fib_route(rt, child_prefix, child_fib_next_hops)
# Check grand-child's negative to positive next-hop conversion in FIB
check_fib_route(rt, grand_child_prefix, grand_child_fib_next_hops)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, default_next_hops)
def test_remove_default_route():
# Test that the child routes are removed from the FIB when the parent route is removed
rt = mkrt()
# Start with a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add a more specific child route with a negative next-hop
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if0", "10.0.0.1")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Add an even more specific grand-child route with a negative next-hop
grand_child_prefix = "10.0.10.0/24"
grand_child_rib_next_hops = [mknh_neg("if1", "10.0.0.2")]
grand_child_route = mkr(grand_child_prefix, grand_child_rib_next_hops)
rt.put_route(grand_child_route)
check_rib_route(rt, grand_child_prefix, grand_child_rib_next_hops)
# Check child's negative to positive next-hop conversion in FIB
child_fib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, child_prefix, child_fib_next_hops)
# Check grand-child's negative to positive next-hop conversion in FIB
grand_child_fib_next_hops = [mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, grand_child_prefix, grand_child_fib_next_hops)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, default_next_hops)
# Delete the default route
rt.del_route(mkp(default_prefix), OWNER_S_SPF)
# Check that the parent route is absent from the RIB and FIB
check_rib_route_absent(rt, default_prefix)
check_fib_route_absent(rt, default_prefix)
# Check that the child route is present in the RIB and also absent from the FIB (it is
# superfluous because it is a discard route without a parent route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
check_fib_route_absent(rt, child_prefix)
# Check that the grand-child route is present in the RIB and absent from the FIB because it
# is a superfluous route (grand-child is discard, but it parent -the child- is also discard)
check_rib_route(rt, grand_child_prefix, grand_child_rib_next_hops)
check_fib_route_absent(rt, grand_child_prefix)
def test_discard_child_from_fib_when_no_next_hops_left():
# Tests if a route becomes unreachable (i.e. becomes a discard route) after all next hops are
# negatively disaggregated
rt = mkrt()
# Start with a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add a more specific child route with negative next-hops for all of the parent's positive
# next-hops.
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if0", "10.0.0.1"),
mknh_neg("if1", "10.0.0.2"),
mknh_neg("if2", "10.0.0.3"),
mknh_neg("if3", "10.0.0.4")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Check that the child route in the FIB is now a discard route
no_next_hops = []
check_fib_route(rt, child_prefix, no_next_hops)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, default_next_hops)
def test_restore_child_from_to_when_neg_next_hop_removed():
# Tests if an unreachable route becomes reachable after a negative disaggregation is removed
rt = mkrt()
# Start with a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add a more specific child route with negative next-hops for all of the parent's positive
# next-hops.
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if0", "10.0.0.1"),
mknh_neg("if1", "10.0.0.2"),
mknh_neg("if2", "10.0.0.3"),
mknh_neg("if3", "10.0.0.4")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Check that the child route in the FIB is now a discard route
no_next_hops = []
check_fib_route(rt, child_prefix, no_next_hops)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, default_next_hops)
# Remove one of the negative next-hops of the child route (namely if2 10.0.0.3)
new_child_rib_next_hops = [mknh_neg("if0", "10.0.0.1"),
mknh_neg("if1", "10.0.0.2"),
mknh_neg("if3", "10.0.0.4")]
child_route = mkr(child_prefix, new_child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, new_child_rib_next_hops)
# Check that the child route has appeared in the FIB
new_child_fib_next_hops = [mknh_pos("if2", "10.0.0.3")]
check_fib_route(rt, child_prefix, new_child_fib_next_hops)
def test_remove_grand_child_from_fib_when_no_next_hops_left_due_to_inheritance():
# Test that a grand-child route is removed from the FIB when it has no next-hops left because
# the child route (i.e. the parent of the grand-child route) removed all next-hops.
rt = mkrt()
# Start with a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add a more specific child route with negative next-hops for all of the parent's positive
# next-hops.
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if0", "10.0.0.1"),
mknh_neg("if1", "10.0.0.2"),
mknh_neg("if2", "10.0.0.3"),
mknh_neg("if3", "10.0.0.4")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Add an even more specific grand-child route with only one negative next-hop of its own, but
# the other next-hops that could potentially be inherited from the default were already removed
# by the child route.
grand_child_prefix = "10.0.10.0/24"
grand_child_rib_next_hops = [mknh_neg("if1", "10.0.0.2")]
grand_child_route = mkr(grand_child_prefix, grand_child_rib_next_hops)
rt.put_route(grand_child_route)
check_rib_route(rt, grand_child_prefix, grand_child_rib_next_hops)
# Check that the child route in the FIB is now a discard route
no_next_hops = []
check_fib_route(rt, child_prefix, no_next_hops)
# Check that the grand-child route in the FIB is now absent because it is superfluous (it
# would have been a discard route, but it's parent -the child route- is also a discard route)
check_fib_route_absent(rt, grand_child_prefix)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, default_next_hops)
def test_keep_grand_child_in_fib_extra_positive_next_hop():
# Test that a grand-child route is present in the FIB in the following scenario:
# - A parent route has some positive next-hops
# - A child route removes all of the next-hops with negative next-hops
# - The grand-child route adds a new positive next-hops, completely separate from the ones
# that the child and parent used.
rt = mkrt()
# Start with a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add a more specific child route with negative next-hops for all of the parent's positive
# next-hops.
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if0", "10.0.0.1"),
mknh_neg("if1", "10.0.0.2"),
mknh_neg("if2", "10.0.0.3"),
mknh_neg("if3", "10.0.0.4")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Add an even more specific grand-child route with a positive next-hops that puts one of the
# next-hops that was removed by its parent (i.e. by the child-route) explicitly back.
grand_child_prefix = "10.0.10.0/24"
grand_child_next_hops = [mknh_pos("if4", "10.0.0.5")]
grand_child_route = mkr(grand_child_prefix, grand_child_next_hops)
rt.put_route(grand_child_route)
check_rib_route(rt, grand_child_prefix, grand_child_next_hops)
# Check that the child route in the FIB is now a discard route
no_next_hops = []
check_fib_route(rt, child_prefix, no_next_hops)
# Check that the grand-child route is present in the FIB
check_fib_route(rt, grand_child_prefix, grand_child_next_hops)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, default_next_hops)
def test_keep_grand_child_in_fib_replace_positive_next_hop():
# Test that a grand-child route is present in the FIB in the following scenario:
# - A parent route has some positive next-hops
# - A child route removes all of the next-hops with negative next-hops
# - The grand-child route puts one of the removed next-hops explicitly back with a positive
# next-hop.
rt = mkrt()
# Start with a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add a more specific child route with negative next-hops for all of the parent's positive
# next-hops.
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if0", "10.0.0.1"),
mknh_neg("if1", "10.0.0.2"),
mknh_neg("if2", "10.0.0.3"),
mknh_neg("if3", "10.0.0.4")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Add an even more specific grand-child route with a positive next-hops that puts one of the
# next-hops that was removed by its parent (i.e. by the child-route) explicitly back.
grand_child_prefix = "10.0.10.0/24"
grand_child_next_hops = [mknh_pos("if1", "10.0.0.2")]
grand_child_route = mkr(grand_child_prefix, grand_child_next_hops)
rt.put_route(grand_child_route)
check_rib_route(rt, grand_child_prefix, grand_child_next_hops)
# Check that the child route in the FIB is now a discard route
no_next_hops = []
check_fib_route(rt, child_prefix, no_next_hops)
# Check that the grand-child route is present from the FIB
check_fib_route(rt, grand_child_prefix, grand_child_next_hops)
# Go back to the parent, and check it's next-hops haven't changed
check_fib_route(rt, default_prefix, default_next_hops)
def test_add_two_parent_routes_same_destination_different_owners():
# Add two parent routes with different owners to the same destination; test that the
# south-SPF parent route is preferred and used by children for negative to positive next-hop
# conversion.
rt = mkrt()
# Add a north-SPF parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
north_spf_default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3")]
north_spf_default_route = mkr(default_prefix, north_spf_default_next_hops, OWNER_N_SPF)
rt.put_route(north_spf_default_route)
check_rib_route(rt, default_prefix, north_spf_default_next_hops, OWNER_N_SPF)
# The default route in the FIB contains the next-hops of the north-SPF default route
check_fib_route(rt, default_prefix, north_spf_default_next_hops)
# Add a more specific child route with a negative next-hop
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if2", "10.0.0.3")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Check that the child route used the north-SPF default route to convert negative next-hops
# to positive next-hops.
child_fib_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2")]
check_fib_route(rt, child_prefix, child_fib_next_hops)
# Add a south-SPF parent default route with some different (overlapping) positive next-hops
south_spf_default_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
south_spf_default_route = mkr(default_prefix, south_spf_default_next_hops, OWNER_S_SPF)
rt.put_route(south_spf_default_route)
check_rib_route(rt, default_prefix, south_spf_default_next_hops, OWNER_S_SPF)
# The default route FIB next-hops have been replaced by the the next-hops of the north-SPF
# default route
check_fib_route(rt, default_prefix, south_spf_default_next_hops)
# Check that the child route now uses the south-SPF default route to convert negative next-hops
# to positive next-hops.
new_child_fib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, child_prefix, new_child_fib_next_hops)
# Remove the south-SPF parent default route again
rt.del_route(mkp(default_prefix), OWNER_S_SPF)
# The north-SPF RIB route became the best route again
check_rib_route(rt, default_prefix, north_spf_default_next_hops, OWNER_N_SPF)
# Check that the child route now uses the noth-SPF default route again to convert negative
# next-hops to positive next-hops.
check_fib_route(rt, child_prefix, child_fib_next_hops)
def test_add_two_child_routes_same_destination_different_owners():
# Add two child routes with different owners to the same destination. Test that the
# south-SPF child route is preferred. Test that the parent FIB route is used, even if the parent
# FIB route came from a north-SPF RIB route.
rt = mkrt()
# Add a north-SPF parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
north_spf_default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
north_spf_default_route = mkr(default_prefix, north_spf_default_next_hops, OWNER_N_SPF)
rt.put_route(north_spf_default_route)
check_rib_route(rt, default_prefix, north_spf_default_next_hops, OWNER_N_SPF)
# Add a north-SPF child route with a negative next-hop
child_prefix = "10.0.0.0/16"
north_spf_child_rib_next_hops = [mknh_neg("if2", "10.0.0.3")]
child_route = mkr(child_prefix, north_spf_child_rib_next_hops, OWNER_N_SPF)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, north_spf_child_rib_next_hops, OWNER_N_SPF)
# Check that RIB to FIB next-hop conversion uses the north-SPF parent and the north-SPF child
north_spf_child_fib_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, child_prefix, north_spf_child_fib_next_hops)
# Add a south-SPF child route with a different negative next-hop
south_spf_child_rib_next_hops = [mknh_neg("if1", "10.0.0.2")]
child_route = mkr(child_prefix, south_spf_child_rib_next_hops, OWNER_S_SPF)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, south_spf_child_rib_next_hops, OWNER_S_SPF)
# Check that RIB to FIB next-hop conversion uses the north-SPF parent and the north-SPF child
south_spf_child_fib_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, child_prefix, south_spf_child_fib_next_hops)
def test_superfluous_positive_next_hop():
# Test that installation of a superfluous route in the FIB is prevented when the child's FIB
# next-hops are the same as the parent's next-hops because.
# Specific scenario: the child has the exact same positive next-hops as the parent.
rt = mkrt()
# Start with a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add a more specific child route with the exact same set of positive next-hops as the parent
child_prefix = "10.0.0.0/16"
child_rib_next_hops = default_next_hops
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Check that the negative route is not installed in the FIB because it is superfluous
check_fib_route_absent(rt, child_prefix)
# Remove the default route
rt.del_route(mkp(default_prefix), OWNER_S_SPF)
check_rib_route_absent(rt, default_prefix)
check_fib_route_absent(rt, default_prefix)
# Now the child route is no longer superfluous
check_rib_route(rt, child_prefix, child_rib_next_hops)
child_fib_next_hops = child_rib_next_hops
check_fib_route(rt, child_prefix, child_fib_next_hops)
def test_superfluous_negative_next_hop():
# Test that installation of a superfluous route in the FIB is prevented when the child's FIB
# next-hops are the same as the parent's next-hops because.
# Specific scenario: the child has negative next-hops that don't actually remove any next-hops
# from the set of positive next-hops of the parent.
rt = mkrt()
# Start with a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add a more specific child route with negative next-hops that are not equal to any of the
# positive next-hops in the parent route.
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if4", "10.0.0.5"),
mknh_neg("if5", "10.0.0.6")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Check that the negative child route is not installed in the FIB because it is superfluous:
# it has the exact same FIB next-hops as its parent, the default route
check_fib_route_absent(rt, child_prefix)
# Add a new next-hop to the default route that does match one of the negative next-hops of the
# child route
new_default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4"),
mknh_pos("if4", "10.0.0.5")]
new_default_route = mkr(default_prefix, new_default_next_hops)
rt.put_route(new_default_route)
check_rib_route(rt, default_prefix, new_default_next_hops)
check_fib_route(rt, default_prefix, new_default_next_hops)
# The child route is not superfluous anymore, since it's FIB next-hops are now different from
# the FIB next-hops of its parent
child_fib_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, child_prefix, child_fib_next_hops)
def test_superfluous_discard_parent_also_discard():
# Test that installation of a superfluous route in the FIB is prevented when the child's FIB
# next-hops are the same as the parent's next-hops because.
# Specific scenario: a child ends up with a discard route, but its parent also is a discard
# route
rt = mkrt()
# Start with a parent default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# Add a more specific child route with negative next-hops for all of the parent's positive
# next-hops.
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if0", "10.0.0.1"),
mknh_neg("if1", "10.0.0.2"),
mknh_neg("if2", "10.0.0.3"),
mknh_neg("if3", "10.0.0.4")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Check that the child route in the FIB is now a discard route
no_next_hops = []
check_fib_route(rt, child_prefix, no_next_hops)
# Create a discard grand-child route (empty list of next-hops means discard)
grand_child_prefix = "10.0.1.0/24"
grand_child_rib_next_hops = []
grand_child_route = mkr(grand_child_prefix, grand_child_rib_next_hops)
rt.put_route(grand_child_route)
check_rib_route(rt, grand_child_prefix, grand_child_rib_next_hops)
# Check that the grand-child route is not installed in the FIB because it is superfluous
check_fib_route_absent(rt, grand_child_prefix)
# Remove the child route
rt.del_route(mkp(child_prefix), OWNER_S_SPF)
# Check that the child route is now absent from the FIB
check_fib_route_absent(rt, child_prefix)
# The grand-child route is now not superfluous anymore and should be installed as a discard
# route
check_fib_route(rt, grand_child_prefix, no_next_hops)
def test_superfluous_discard_no_parent():
# Test that installation of a superfluous route in the FIB is prevented when the child's FIB
# next-hops are the same as the parent's next-hops because.
# Specific scenario: the child ends up with a discard route, but there is no parent
rt = mkrt()
# Create a so-called child route that only has some negative next-hops, but not parent route
child_prefix = "10.0.0.0/16"
child_rib_next_hops = [mknh_neg("if0", "10.0.0.1"),
mknh_neg("if1", "10.0.0.2")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
# Check that the child child route is absent from the FIB because it is superfluous (it is a
# discard route without a parent route)
check_fib_route_absent(rt, child_prefix)
# Add a default route with some positive next-hops
default_prefix = "0.0.0.0/0"
default_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
default_route = mkr(default_prefix, default_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_next_hops)
check_fib_route(rt, default_prefix, default_next_hops)
# The child route (which is now really a child route) is no longer superfluous
child_fib_next_hops = [mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4")]
check_fib_route(rt, child_prefix, child_fib_next_hops)
def test_prop_deep_nesting():
# Deep nesting of more specific routes: parent, child, grand child, grand-grand child, ...
#
# default 0.0.0.0/0 -> if0, if1, if2, if3, if4 [if0, if1, if2, if3, if4]
# |
# child +--- 1.0.0.0/8 -> ~if1 [if0, if2, if3, if4]
# |
# g_child +--- 1.128.0.0/9 -> ~if0, if5 [if2, if3, if4, if5]
# |
# gg_child +--- 1.192.0.0/10 -> if1, ~if3 [if1, if2, if4, if5]
# |
# ggg_child +--- 1.224.0.0/11 -> ~if1, ~if5 [if2, if4]
# |
# gggg_child +--- 1.240.0.0/12 -> if2, if4 [superfluous]
#
rt = mkrt()
# Add default
default_prefix = "0.0.0.0/0"
default_rib_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4"),
mknh_pos("if4", "10.0.0.5")]
default_route = mkr(default_prefix, default_rib_next_hops)
rt.put_route(default_route)
check_rib_route(rt, default_prefix, default_rib_next_hops)
default_fib_next_hops = default_rib_next_hops
check_fib_route(rt, default_prefix, default_fib_next_hops)
# Add child
child_prefix = "1.0.0.0/8"
child_rib_next_hops = [mknh_neg("if1", "10.0.0.2")]
child_route = mkr(child_prefix, child_rib_next_hops)
rt.put_route(child_route)
check_rib_route(rt, child_prefix, child_rib_next_hops)
child_fib_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4"),
mknh_pos("if4", "10.0.0.5")]
check_fib_route(rt, child_prefix, child_fib_next_hops)
# Add grand child
g_child_prefix = "1.128.0.0/9"
g_child_rib_next_hops = [mknh_neg("if0", "10.0.0.1"),
mknh_pos("if5", "10.0.0.6")]
g_child_route = mkr(g_child_prefix, g_child_rib_next_hops)
rt.put_route(g_child_route)
check_rib_route(rt, g_child_prefix, g_child_rib_next_hops)
g_child_fib_next_hops = [mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4"),
mknh_pos("if4", "10.0.0.5"),
mknh_pos("if5", "10.0.0.6")]
check_fib_route(rt, g_child_prefix, g_child_fib_next_hops)
# Add grand-grand child
gg_child_prefix = "1.192.0.0/10"
gg_child_rib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_neg("if3", "10.0.0.4")]
gg_child_route = mkr(gg_child_prefix, gg_child_rib_next_hops)
rt.put_route(gg_child_route)
check_rib_route(rt, gg_child_prefix, gg_child_rib_next_hops)
gg_child_fib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if4", "10.0.0.5"),
mknh_pos("if5", "10.0.0.6")]
check_fib_route(rt, gg_child_prefix, gg_child_fib_next_hops)
# Add grand-grand-grand child
ggg_child_prefix = "1.224.0.0/11"
ggg_child_rib_next_hops = [mknh_neg("if1", "10.0.0.2"),
mknh_neg("if5", "10.0.0.6")]
ggg_child_route = mkr(ggg_child_prefix, ggg_child_rib_next_hops)
rt.put_route(ggg_child_route)
check_rib_route(rt, ggg_child_prefix, ggg_child_rib_next_hops)
ggg_child_fib_next_hops = [mknh_pos("if2", "10.0.0.3"),
mknh_pos("if4", "10.0.0.5")]
check_fib_route(rt, ggg_child_prefix, ggg_child_fib_next_hops)
# Add grand-grand-grand-grand child
gggg_child_prefix = "1.240.0.0/12"
gggg_child_rib_next_hops = [mknh_pos("if2", "10.0.0.3"),
mknh_pos("if4", "10.0.0.5")]
gggg_child_route = mkr(gggg_child_prefix, gggg_child_rib_next_hops)
rt.put_route(gggg_child_route)
check_rib_route(rt, gggg_child_prefix, gggg_child_rib_next_hops)
check_fib_route_absent(rt, gggg_child_prefix) # Superfluous
#
# Delete the top default route, which results in the following updated tree:
#
# child +--- 1.0.0.0/8 -> ~if1 [superfluous]
# |
# g_child +--- 1.128.0.0/9 -> ~if0, if5 [if5]
# |
# gg_child +--- 1.192.0.0/10 -> if1, ~if3 [if1, if5]
# |
# ggg_child +--- 1.224.0.0/11 -> ~if1, ~if5 [discard]
# |
# gggg_child +--- 1.240.0.0/12 -> if2, if4 [if2, if4]
#
rt.del_route(mkp(default_prefix), OWNER_S_SPF)
# Child (superfluous)
check_fib_route_absent(rt, child_prefix)
# Grand child
g_child_fib_next_hops = [mknh_pos("if5", "10.0.0.6")]
check_fib_route(rt, g_child_prefix, g_child_fib_next_hops)
# Grand-grand child
gg_child_fib_next_hops = [mknh_pos("if1", "10.0.0.2"),
mknh_pos("if5", "10.0.0.6")]
check_fib_route(rt, gg_child_prefix, gg_child_fib_next_hops)
# Grand-grand-grand child
ggg_child_fib_next_hops = [] # Discard
check_fib_route(rt, ggg_child_prefix, ggg_child_fib_next_hops)
# Grand-grand-grand-grand child
gggg_child_fib_next_hops = [mknh_pos("if2", "10.0.0.3"),
mknh_pos("if4", "10.0.0.5")]
check_fib_route(rt, gggg_child_prefix, gggg_child_fib_next_hops)
def test_prop_nesting_with_siblings():
# Deep nesting of more specific routes using the following tree:
#
# top 1.0.0.0/8 -> if0, if1, if2, if3, if4, if5 [if0, if1, if2, if3, if4, if5]
# |
# left +--- 1.1.0.0/16 -> ~if0 [if1, if2, if3, if4, if5]
# | |
# left-left | +--- 1.1.1.0/24 -> ~if1 [if2, if3, if4, if5]
# | |
# left-right | +--- 1.1.2.0/24 -> ~if2 [if1, if3, if4, if5]
# |
# right +--- 1.2.0.0/16 -> ~if3 [if0, if1, if2, if4, if5]
# |
# right-left +--- 1.2.1.0/24 -> ~if4 [if0, if1, if2, if5]
# |
# right-right +--- 1.2.2.0/24 -> ~if5 [if0, if1, if2, if4]
#
# The routes are created in a random order:
# 1. left-left
# 2. right
# 3. top
# 4. right-right
# 5. left-right
# 6. left
# 7. right-left
rt = mkrt()
# 1. Add left-left
left_left_prefix = "1.1.1.0/24"
left_left_rib_next_hops = [mknh_neg("if1", "10.0.0.2")]
left_left_route = mkr(left_left_prefix, left_left_rib_next_hops)
rt.put_route(left_left_route)
check_rib_route(rt, left_left_prefix, left_left_rib_next_hops)
# 2. Add right
right_prefix = "1.2.0.0/16"
right_rib_next_hops = [mknh_neg("if3", "10.0.0.4")]
right_route = mkr(right_prefix, right_rib_next_hops)
rt.put_route(right_route)
check_rib_route(rt, right_prefix, right_rib_next_hops)
# 3. Add top
top_prefix = "1.0.0.0/8"
top_rib_next_hops = [mknh_pos("if0", "10.0.0.1"),
mknh_pos("if1", "10.0.0.2"),
mknh_pos("if2", "10.0.0.3"),
mknh_pos("if3", "10.0.0.4"),
mknh_pos("if4", "10.0.0.5"),
mknh_pos("if5", "10.0.0.6")]
top_route = mkr(top_prefix, top_rib_next_hops)
rt.put_route(top_route)
check_rib_route(rt, top_prefix, top_rib_next_hops)
# 4. Add right-right
right_right_prefix = "1.2.2.0/24"
right_right_rib_next_hops = [mknh_neg("if5", "10.0.0.6")]
right_right_route = mkr(right_right_prefix, right_right_rib_next_hops)
rt.put_route(right_right_route)
check_rib_route(rt, right_right_prefix, right_right_rib_next_hops)
# 5. Add left-right
left_right_prefix = "1.1.2.0/24"
left_right_rib_next_hops = [mknh_neg("if2", "10.0.0.3")]
left_right_route = mkr(left_right_prefix, left_right_rib_next_hops)
rt.put_route(left_right_route)
check_rib_route(rt, left_right_prefix, left_right_rib_next_hops)
# 6. Add left
left_prefix = "1.1.0.0/16"
left_rib_next_hops = [mknh_neg("if0", "10.0.0.1")]
left_route = mkr(left_prefix, left_rib_next_hops)
rt.put_route(left_route)
check_rib_route(rt, left_prefix, left_rib_next_hops)
# 6. Add right-left
right_left_prefix = "1.2.1.0/24"
right_left_rib_next_hops = [mknh_neg("if4", "10.0.0.5")]
right_left_route = mkr(right_left_prefix, right_left_rib_next_hops)
rt.put_route(right_left_route)
check_rib_route(rt, right_left_prefix, right_left_rib_next_hops)
# Check
if0 = mknh_pos("if0", "10.0.0.1")
if1 = mknh_pos("if1", "10.0.0.2")
if2 = mknh_pos("if2", "10.0.0.3")
if3 = mknh_pos("if3", "10.0.0.4")
if4 = mknh_pos("if4", "10.0.0.5")
if5 = mknh_pos("if5", "10.0.0.6")
check_fib_route(rt, top_prefix, [if0, if1, if2, if3, if4, if5])
check_fib_route(rt, left_prefix, [if1, if2, if3, if4, if5])
check_fib_route(rt, left_left_prefix, [if2, if3, if4, if5])
check_fib_route(rt, left_right_prefix, [if1, if3, if4, if5])
check_fib_route(rt, right_prefix, [if0, if1, if2, if4, if5])
check_fib_route(rt, right_left_prefix, [if0, if1, if2, if5])
check_fib_route(rt, right_right_prefix, [if0, if1, if2, if4])
def test_cli_table():
# pylint: disable=bad-continuation
rt = mkrt()
if0 = mknh_pos("if0", "10.0.0.1")
if1 = mknh_pos("if1", "10.0.0.2")
if2 = mknh_pos("if2", "10.0.0.3")
if3 = mknh_pos("if3", "10.0.0.4")
neg_if2 = mknh_neg("if2", "10.0.0.3")
neg_if3 = mknh_neg("if3", "10.0.0.4")
rt.put_route(mkr("0.0.0.0/0", [if0, if1]))
rt.put_route(mkr("1.0.0.0/8", [if2, if3]))
rt.put_route(mkr("1.1.0.0/16", [neg_if2]))
rt.put_route(mkr("1.2.0.0/16", [neg_if2, neg_if3]))
rt.put_route(mkr("1.1.1.0/24", [neg_if2]))
tab_str = rt.cli_table().to_string()
assert (tab_str ==
"+------------+-----------+----------+-----------+----------+----------+\n"
"| Prefix | Owner | Next-hop | Next-hop | Next-hop | Next-hop |\n"
"| | | Type | Interface | Address | Weight |\n"
"+------------+-----------+----------+-----------+----------+----------+\n"
"| 0.0.0.0/0 | South SPF | Positive | if0 | 10.0.0.1 | |\n"
"| | | Positive | if1 | 10.0.0.2 | |\n"
"+------------+-----------+----------+-----------+----------+----------+\n"
"| 1.0.0.0/8 | South SPF | Positive | if2 | 10.0.0.3 | |\n"
"| | | Positive | if3 | 10.0.0.4 | |\n"
"+------------+-----------+----------+-----------+----------+----------+\n"
"| 1.1.0.0/16 | South SPF | Negative | if2 | 10.0.0.3 | |\n"
"+------------+-----------+----------+-----------+----------+----------+\n"
"| 1.1.1.0/24 | South SPF | Negative | if2 | 10.0.0.3 | |\n"
"+------------+-----------+----------+-----------+----------+----------+\n"
"| 1.2.0.0/16 | South SPF | Negative | if2 | 10.0.0.3 | |\n"
"| | | Negative | if3 | 10.0.0.4 | |\n"
"+------------+-----------+----------+-----------+----------+----------+\n")
tab_str = rt.fib.cli_table().to_string()
assert (tab_str ==
"+------------+----------+-----------+----------+----------+\n"
"| Prefix | Next-hop | Next-hop | Next-hop | Next-hop |\n"
"| | Type | Interface | Address | Weight |\n"
"+------------+----------+-----------+----------+----------+\n"
"| 0.0.0.0/0 | Positive | if0 | 10.0.0.1 | |\n"
"| | Positive | if1 | 10.0.0.2 | |\n"
"+------------+----------+-----------+----------+----------+\n"
"| 1.0.0.0/8 | Positive | if2 | 10.0.0.3 | |\n"
"| | Positive | if3 | 10.0.0.4 | |\n"
"+------------+----------+-----------+----------+----------+\n"
"| 1.1.0.0/16 | Positive | if3 | 10.0.0.4 | |\n"
"+------------+----------+-----------+----------+----------+\n"
"| 1.2.0.0/16 | Discard | | | |\n"
"+------------+----------+-----------+----------+----------+\n")
| 53.689091 | 100 | 0.635409 | 9,298 | 59,058 | 3.743493 | 0.031297 | 0.026087 | 0.034476 | 0.047347 | 0.872554 | 0.843307 | 0.805528 | 0.77381 | 0.738673 | 0.714827 | 0 | 0.055236 | 0.23946 | 59,058 | 1,099 | 101 | 53.737944 | 0.719699 | 0.257493 | 0 | 0.722362 | 0 | 0.011307 | 0.13004 | 0.020124 | 0 | 0 | 0 | 0 | 0.016332 | 1 | 0.040201 | false | 0 | 0.008794 | 0.001256 | 0.055276 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
9ffc3fb702df0f16808b755925dd0e9c191be673 | 20,853 | py | Python | sdk/python/pulumi_gcp/diagflow/cx_version.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 121 | 2018-06-18T19:16:42.000Z | 2022-03-31T06:06:48.000Z | sdk/python/pulumi_gcp/diagflow/cx_version.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 492 | 2018-06-22T19:41:03.000Z | 2022-03-31T15:33:53.000Z | sdk/python/pulumi_gcp/diagflow/cx_version.py | sisisin/pulumi-gcp | af6681d70ea457843409110c1324817fe55f68ad | [
"ECL-2.0",
"Apache-2.0"
] | 43 | 2018-06-19T01:43:13.000Z | 2022-03-23T22:43:37.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._inputs import *
__all__ = ['CxVersionArgs', 'CxVersion']
@pulumi.input_type
class CxVersionArgs:
def __init__(__self__, *,
display_name: pulumi.Input[str],
description: Optional[pulumi.Input[str]] = None,
parent: Optional[pulumi.Input[str]] = None):
"""
The set of arguments for constructing a CxVersion resource.
:param pulumi.Input[str] display_name: The human-readable name of the version. Limit of 64 characters.
:param pulumi.Input[str] description: The description of the version. The maximum length is 500 characters. If exceeded, the request is rejected.
:param pulumi.Input[str] parent: The Flow to create an Version for.
Format: projects/<Project ID>/locations/<Location ID>/agents/<Agent ID>/flows/<Flow ID>.
"""
pulumi.set(__self__, "display_name", display_name)
if description is not None:
pulumi.set(__self__, "description", description)
if parent is not None:
pulumi.set(__self__, "parent", parent)
@property
@pulumi.getter(name="displayName")
def display_name(self) -> pulumi.Input[str]:
"""
The human-readable name of the version. Limit of 64 characters.
"""
return pulumi.get(self, "display_name")
@display_name.setter
def display_name(self, value: pulumi.Input[str]):
pulumi.set(self, "display_name", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The description of the version. The maximum length is 500 characters. If exceeded, the request is rejected.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter
def parent(self) -> Optional[pulumi.Input[str]]:
"""
The Flow to create an Version for.
Format: projects/<Project ID>/locations/<Location ID>/agents/<Agent ID>/flows/<Flow ID>.
"""
return pulumi.get(self, "parent")
@parent.setter
def parent(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "parent", value)
@pulumi.input_type
class _CxVersionState:
def __init__(__self__, *,
create_time: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
display_name: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
nlu_settings: Optional[pulumi.Input[Sequence[pulumi.Input['CxVersionNluSettingArgs']]]] = None,
parent: Optional[pulumi.Input[str]] = None,
state: Optional[pulumi.Input[str]] = None):
"""
Input properties used for looking up and filtering CxVersion resources.
:param pulumi.Input[str] create_time: A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples:
"2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".
:param pulumi.Input[str] description: The description of the version. The maximum length is 500 characters. If exceeded, the request is rejected.
:param pulumi.Input[str] display_name: The human-readable name of the version. Limit of 64 characters.
:param pulumi.Input[str] name: Format: projects//locations//agents//flows//versions/. Version ID is a self-increasing number generated by Dialogflow
upon version creation.
:param pulumi.Input[Sequence[pulumi.Input['CxVersionNluSettingArgs']]] nlu_settings: The NLU settings of the flow at version creation.
:param pulumi.Input[str] parent: The Flow to create an Version for.
Format: projects/<Project ID>/locations/<Location ID>/agents/<Agent ID>/flows/<Flow ID>.
:param pulumi.Input[str] state: The state of this version. * RUNNING: Version is not ready to serve (e.g. training is running). * SUCCEEDED: Training
has succeeded and this version is ready to serve. * FAILED: Version training failed.
"""
if create_time is not None:
pulumi.set(__self__, "create_time", create_time)
if description is not None:
pulumi.set(__self__, "description", description)
if display_name is not None:
pulumi.set(__self__, "display_name", display_name)
if name is not None:
pulumi.set(__self__, "name", name)
if nlu_settings is not None:
pulumi.set(__self__, "nlu_settings", nlu_settings)
if parent is not None:
pulumi.set(__self__, "parent", parent)
if state is not None:
pulumi.set(__self__, "state", state)
@property
@pulumi.getter(name="createTime")
def create_time(self) -> Optional[pulumi.Input[str]]:
"""
A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples:
"2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".
"""
return pulumi.get(self, "create_time")
@create_time.setter
def create_time(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "create_time", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
The description of the version. The maximum length is 500 characters. If exceeded, the request is rejected.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="displayName")
def display_name(self) -> Optional[pulumi.Input[str]]:
"""
The human-readable name of the version. Limit of 64 characters.
"""
return pulumi.get(self, "display_name")
@display_name.setter
def display_name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "display_name", value)
@property
@pulumi.getter
def name(self) -> Optional[pulumi.Input[str]]:
"""
Format: projects//locations//agents//flows//versions/. Version ID is a self-increasing number generated by Dialogflow
upon version creation.
"""
return pulumi.get(self, "name")
@name.setter
def name(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "name", value)
@property
@pulumi.getter(name="nluSettings")
def nlu_settings(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['CxVersionNluSettingArgs']]]]:
"""
The NLU settings of the flow at version creation.
"""
return pulumi.get(self, "nlu_settings")
@nlu_settings.setter
def nlu_settings(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['CxVersionNluSettingArgs']]]]):
pulumi.set(self, "nlu_settings", value)
@property
@pulumi.getter
def parent(self) -> Optional[pulumi.Input[str]]:
"""
The Flow to create an Version for.
Format: projects/<Project ID>/locations/<Location ID>/agents/<Agent ID>/flows/<Flow ID>.
"""
return pulumi.get(self, "parent")
@parent.setter
def parent(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "parent", value)
@property
@pulumi.getter
def state(self) -> Optional[pulumi.Input[str]]:
"""
The state of this version. * RUNNING: Version is not ready to serve (e.g. training is running). * SUCCEEDED: Training
has succeeded and this version is ready to serve. * FAILED: Version training failed.
"""
return pulumi.get(self, "state")
@state.setter
def state(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "state", value)
class CxVersion(pulumi.CustomResource):
@overload
def __init__(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
description: Optional[pulumi.Input[str]] = None,
display_name: Optional[pulumi.Input[str]] = None,
parent: Optional[pulumi.Input[str]] = None,
__props__=None):
"""
You can create multiple versions of your agent flows and deploy them to separate serving environments.
When you edit a flow, you are editing a draft flow. At any point, you can save a draft flow as a flow version. A flow version is an immutable snapshot of your flow data and associated agent data like intents, entities, webhooks, pages, route groups, etc.
To get more information about Version, see:
* [API documentation](https://cloud.google.com/dialogflow/cx/docs/reference/rest/v3/projects.locations.agents.flows.versions)
* How-to Guides
* [Official Documentation](https://cloud.google.com/dialogflow/cx/docs)
## Example Usage
### Dialogflowcx Version Full
```python
import pulumi
import pulumi_gcp as gcp
agent = gcp.diagflow.CxAgent("agent",
display_name="dialogflowcx-agent",
location="global",
default_language_code="en",
supported_language_codes=[
"fr",
"de",
"es",
],
time_zone="America/New_York",
description="Example description.",
avatar_uri="https://cloud.google.com/_static/images/cloud/icons/favicons/onecloud/super_cloud.png",
enable_stackdriver_logging=True,
enable_spell_correction=True,
speech_to_text_settings=gcp.diagflow.CxAgentSpeechToTextSettingsArgs(
enable_speech_adaptation=True,
))
version1 = gcp.diagflow.CxVersion("version1",
parent=agent.start_flow,
display_name="1.0.0",
description="version 1.0.0")
```
## Import
Version can be imported using any of these accepted formats
```sh
$ pulumi import gcp:diagflow/cxVersion:CxVersion default {{parent}}/versions/{{name}}
```
```sh
$ pulumi import gcp:diagflow/cxVersion:CxVersion default {{parent}}/{{name}}
```
:param str resource_name: The name of the resource.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] description: The description of the version. The maximum length is 500 characters. If exceeded, the request is rejected.
:param pulumi.Input[str] display_name: The human-readable name of the version. Limit of 64 characters.
:param pulumi.Input[str] parent: The Flow to create an Version for.
Format: projects/<Project ID>/locations/<Location ID>/agents/<Agent ID>/flows/<Flow ID>.
"""
...
@overload
def __init__(__self__,
resource_name: str,
args: CxVersionArgs,
opts: Optional[pulumi.ResourceOptions] = None):
"""
You can create multiple versions of your agent flows and deploy them to separate serving environments.
When you edit a flow, you are editing a draft flow. At any point, you can save a draft flow as a flow version. A flow version is an immutable snapshot of your flow data and associated agent data like intents, entities, webhooks, pages, route groups, etc.
To get more information about Version, see:
* [API documentation](https://cloud.google.com/dialogflow/cx/docs/reference/rest/v3/projects.locations.agents.flows.versions)
* How-to Guides
* [Official Documentation](https://cloud.google.com/dialogflow/cx/docs)
## Example Usage
### Dialogflowcx Version Full
```python
import pulumi
import pulumi_gcp as gcp
agent = gcp.diagflow.CxAgent("agent",
display_name="dialogflowcx-agent",
location="global",
default_language_code="en",
supported_language_codes=[
"fr",
"de",
"es",
],
time_zone="America/New_York",
description="Example description.",
avatar_uri="https://cloud.google.com/_static/images/cloud/icons/favicons/onecloud/super_cloud.png",
enable_stackdriver_logging=True,
enable_spell_correction=True,
speech_to_text_settings=gcp.diagflow.CxAgentSpeechToTextSettingsArgs(
enable_speech_adaptation=True,
))
version1 = gcp.diagflow.CxVersion("version1",
parent=agent.start_flow,
display_name="1.0.0",
description="version 1.0.0")
```
## Import
Version can be imported using any of these accepted formats
```sh
$ pulumi import gcp:diagflow/cxVersion:CxVersion default {{parent}}/versions/{{name}}
```
```sh
$ pulumi import gcp:diagflow/cxVersion:CxVersion default {{parent}}/{{name}}
```
:param str resource_name: The name of the resource.
:param CxVersionArgs args: The arguments to use to populate this resource's properties.
:param pulumi.ResourceOptions opts: Options for the resource.
"""
...
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(CxVersionArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
description: Optional[pulumi.Input[str]] = None,
display_name: Optional[pulumi.Input[str]] = None,
parent: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = CxVersionArgs.__new__(CxVersionArgs)
__props__.__dict__["description"] = description
if display_name is None and not opts.urn:
raise TypeError("Missing required property 'display_name'")
__props__.__dict__["display_name"] = display_name
__props__.__dict__["parent"] = parent
__props__.__dict__["create_time"] = None
__props__.__dict__["name"] = None
__props__.__dict__["nlu_settings"] = None
__props__.__dict__["state"] = None
super(CxVersion, __self__).__init__(
'gcp:diagflow/cxVersion:CxVersion',
resource_name,
__props__,
opts)
@staticmethod
def get(resource_name: str,
id: pulumi.Input[str],
opts: Optional[pulumi.ResourceOptions] = None,
create_time: Optional[pulumi.Input[str]] = None,
description: Optional[pulumi.Input[str]] = None,
display_name: Optional[pulumi.Input[str]] = None,
name: Optional[pulumi.Input[str]] = None,
nlu_settings: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CxVersionNluSettingArgs']]]]] = None,
parent: Optional[pulumi.Input[str]] = None,
state: Optional[pulumi.Input[str]] = None) -> 'CxVersion':
"""
Get an existing CxVersion resource's state with the given name, id, and optional extra
properties used to qualify the lookup.
:param str resource_name: The unique name of the resulting resource.
:param pulumi.Input[str] id: The unique provider ID of the resource to lookup.
:param pulumi.ResourceOptions opts: Options for the resource.
:param pulumi.Input[str] create_time: A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples:
"2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".
:param pulumi.Input[str] description: The description of the version. The maximum length is 500 characters. If exceeded, the request is rejected.
:param pulumi.Input[str] display_name: The human-readable name of the version. Limit of 64 characters.
:param pulumi.Input[str] name: Format: projects//locations//agents//flows//versions/. Version ID is a self-increasing number generated by Dialogflow
upon version creation.
:param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['CxVersionNluSettingArgs']]]] nlu_settings: The NLU settings of the flow at version creation.
:param pulumi.Input[str] parent: The Flow to create an Version for.
Format: projects/<Project ID>/locations/<Location ID>/agents/<Agent ID>/flows/<Flow ID>.
:param pulumi.Input[str] state: The state of this version. * RUNNING: Version is not ready to serve (e.g. training is running). * SUCCEEDED: Training
has succeeded and this version is ready to serve. * FAILED: Version training failed.
"""
opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id))
__props__ = _CxVersionState.__new__(_CxVersionState)
__props__.__dict__["create_time"] = create_time
__props__.__dict__["description"] = description
__props__.__dict__["display_name"] = display_name
__props__.__dict__["name"] = name
__props__.__dict__["nlu_settings"] = nlu_settings
__props__.__dict__["parent"] = parent
__props__.__dict__["state"] = state
return CxVersion(resource_name, opts=opts, __props__=__props__)
@property
@pulumi.getter(name="createTime")
def create_time(self) -> pulumi.Output[str]:
"""
A timestamp in RFC3339 UTC "Zulu" format, with nanosecond resolution and up to nine fractional digits. Examples:
"2014-10-02T15:01:23Z" and "2014-10-02T15:01:23.045123456Z".
"""
return pulumi.get(self, "create_time")
@property
@pulumi.getter
def description(self) -> pulumi.Output[Optional[str]]:
"""
The description of the version. The maximum length is 500 characters. If exceeded, the request is rejected.
"""
return pulumi.get(self, "description")
@property
@pulumi.getter(name="displayName")
def display_name(self) -> pulumi.Output[str]:
"""
The human-readable name of the version. Limit of 64 characters.
"""
return pulumi.get(self, "display_name")
@property
@pulumi.getter
def name(self) -> pulumi.Output[str]:
"""
Format: projects//locations//agents//flows//versions/. Version ID is a self-increasing number generated by Dialogflow
upon version creation.
"""
return pulumi.get(self, "name")
@property
@pulumi.getter(name="nluSettings")
def nlu_settings(self) -> pulumi.Output[Sequence['outputs.CxVersionNluSetting']]:
"""
The NLU settings of the flow at version creation.
"""
return pulumi.get(self, "nlu_settings")
@property
@pulumi.getter
def parent(self) -> pulumi.Output[Optional[str]]:
"""
The Flow to create an Version for.
Format: projects/<Project ID>/locations/<Location ID>/agents/<Agent ID>/flows/<Flow ID>.
"""
return pulumi.get(self, "parent")
@property
@pulumi.getter
def state(self) -> pulumi.Output[str]:
"""
The state of this version. * RUNNING: Version is not ready to serve (e.g. training is running). * SUCCEEDED: Training
has succeeded and this version is ready to serve. * FAILED: Version training failed.
"""
return pulumi.get(self, "state")
| 43.993671 | 262 | 0.638853 | 2,447 | 20,853 | 5.277483 | 0.115243 | 0.062181 | 0.063962 | 0.061329 | 0.843271 | 0.819188 | 0.782639 | 0.764055 | 0.746012 | 0.720536 | 0 | 0.014047 | 0.255791 | 20,853 | 473 | 263 | 44.086681 | 0.818094 | 0.460701 | 0 | 0.567442 | 1 | 0 | 0.09339 | 0.015548 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15814 | false | 0.004651 | 0.032558 | 0 | 0.288372 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
b014bac37d3b627f8f002e7cd02ed78cc8ac8581 | 2,616 | py | Python | custom_components/rainforest/api_classes.py | MattAKAFred/ha-rainforest-emu2 | 02e2a100139b0432f09766ee73999008d948b263 | [
"Apache-2.0"
] | null | null | null | custom_components/rainforest/api_classes.py | MattAKAFred/ha-rainforest-emu2 | 02e2a100139b0432f09766ee73999008d948b263 | [
"Apache-2.0"
] | null | null | null | custom_components/rainforest/api_classes.py | MattAKAFred/ha-rainforest-emu2 | 02e2a100139b0432f09766ee73999008d948b263 | [
"Apache-2.0"
] | null | null | null | from xml import etree
class MessageCluster():
def __init__(self, xml_tree,block_string):
self.block_string = block_string
for element in xml_tree:
setattr(self, element.tag, element.text)
def __repr__(self):
return self.xml_tree
class TimeCluster():
def __init__(self, xml_tree,block_string):
self.block_string = block_string
for element in xml_tree:
setattr(self, element.tag, element.text)
def __repr__(self):
return self.block_string
class InstantaneousDemand():
def __init__(self, xml_tree,block_string):
self.block_string = block_string
for element in xml_tree:
setattr(self, element.tag, element.text)
class NetworkInfo():
def __init__(self, xml_tree,block_string):
self.block_string = block_string
self.xml_tree = xml_tree
for element in xml_tree:
setattr(self, element.tag, element.text)
def __repr__(self):
return self.block_string
class PriceCluster():
def __init__(self, xml_tree,block_string):
self.block_string = block_string
for element in xml_tree:
setattr(self, element.tag, element.text)
def __repr__(self):
return self.block_string
class DeviceInfo():
def __init__(self, xml_tree,block_string):
self.block_string = block_string
for element in xml_tree:
setattr(self, element.tag, element.text)
def __repr__(self):
return self.block_string
class CurrentSummationDelivered():
def __init__(self, xml_tree,block_string):
self.block_string = block_string
for element in xml_tree:
setattr(self, element.tag, element.text)
def __repr__(self):
return self.block_string
class ScheduleInfo():
def __init__(self, xml_tree,block_string):
self.block_string = block_string
for element in xml_tree:
setattr(self, element.tag, element.text)
def __repr__(self):
return self.block_string
class BlockPriceDetail():
def __init__(self, xml_tree,block_string):
self.block_string = block_string
for element in xml_tree:
setattr(self, element.tag, element.text)
def __repr__(self):
return self.block_string
class ConnectionStatus():
def __init__(self, xml_tree,block_string):
self.block_string = block_string
for element in xml_tree:
setattr(self, element.tag, element.text)
def __repr__(self):
return self.block_string
| 31.142857 | 52 | 0.654817 | 322 | 2,616 | 4.89441 | 0.090062 | 0.265228 | 0.17132 | 0.088832 | 0.870558 | 0.870558 | 0.870558 | 0.870558 | 0.870558 | 0.870558 | 0 | 0 | 0.265673 | 2,616 | 84 | 53 | 31.142857 | 0.820406 | 0 | 0 | 0.814286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.271429 | false | 0 | 0.014286 | 0.128571 | 0.557143 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 11 |
b064ca962070ddd99d117da3deb9e0a0011bb64a | 140 | py | Python | src/test/pythonFiles/terminalExec/sample6_raw.py | ChaseKnowlden/vscode-jupyter | 9bdaf87f0b6dcd717c508e9023350499a6093f97 | [
"MIT"
] | 2,461 | 2016-01-21T16:40:43.000Z | 2022-03-31T12:01:55.000Z | src/test/pythonFiles/terminalExec/sample6_raw.py | ChaseKnowlden/vscode-jupyter | 9bdaf87f0b6dcd717c508e9023350499a6093f97 | [
"MIT"
] | 12,536 | 2019-05-06T21:26:14.000Z | 2022-03-31T23:06:48.000Z | src/test/pythonFiles/terminalExec/sample6_raw.py | vasili8m/vscode-python | 846eee870e8b7bab38172600836faedb5fb80166 | [
"MIT"
] | 871 | 2019-05-15T13:43:55.000Z | 2022-03-31T03:04:35.000Z | if True:
print(1)
else: print(2)
print('🔨')
print(3)
print(3)
if True:
print(1)
else: print(2)
if True:
print(1)
else: print(2)
| 10.769231 | 14 | 0.592857 | 27 | 140 | 3.111111 | 0.296296 | 0.214286 | 0.392857 | 0.428571 | 0.785714 | 0.785714 | 0.785714 | 0 | 0 | 0 | 0 | 0.072727 | 0.214286 | 140 | 12 | 15 | 11.666667 | 0.681818 | 0 | 0 | 0.916667 | 0 | 0 | 0.007143 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0.75 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 |
c69b55d7c2ab28d0ab13e72c56b1099c508936a1 | 4,102 | py | Python | vggface/v2/layers.py | claudiourbina/VGGFace | 362cc8f805c1fd4135fddf8d602026735bcfdf5a | [
"MIT"
] | null | null | null | vggface/v2/layers.py | claudiourbina/VGGFace | 362cc8f805c1fd4135fddf8d602026735bcfdf5a | [
"MIT"
] | null | null | null | vggface/v2/layers.py | claudiourbina/VGGFace | 362cc8f805c1fd4135fddf8d602026735bcfdf5a | [
"MIT"
] | null | null | null |
class Conv2DBlock(Layer):
def __init__(
self,
filters:list,
kernel_size:tuple,
stage:int,
block:int,
strides:tuple=(2,2),
use_bias:bool=False
):
super(Conv2DBlock, self).__init__()
self._bn_axis = 3 if K.image_data_format() == 'channels_last' else 1
self._name = f"conv{stage}_{block}"
# layers
self.conv1 = Conv2D(
filters=filters[0],
kernel_size=(1,1),
strides=strides,
use_bias=use_bias,
name=f"{self._name}_red"
)
self.bn1 = BatchNormalization(
axis=self._bn_axis,
name=f"{self._name}_bn1"
)
self.act1 = Activation('relu')
self.conv2 = Conv2D(
filters=filters[1],
kernel_size=kernel_size,
padding='same',
use_bias=use_bias,
name=f"{self._name}"
)
self.bn2 = BatchNormalization(
axis=self._bn_axis,
name=f"{self._name}_bn2"
)
self.act2 = Activation('relu')
self.conv3 = Conv2D(
filters=filters[2],
kernel_size=(1,1),
use_bias=use_bias,
name=f"{self._name}_inc"
)
self.bn3 = BatchNormalization(
axis=self._bn_axis,
name=f"{self._name}_bn3"
)
self.act3 = Activation('relu')
self.short = Conv2D(
filters=filters[2],
kernel_size=(1,1),
strides=strides,
use_bias=use_bias,
name=f"{self._name}_short"
)
self.bn4 = BatchNormalization(
axis=self._bn_axis,
name=f"{self._name}_bn3"
)
def call(
self,
x,
training=False
):
x1 = self.conv1(x)
x1 = self.bn1(x1, training=training)
x1 = self.act1(x1)
x1 = self.conv2(x1)
x1 = self.bn2(x1, training=training)
x1 = self.act2(x1)
x1 = self.conv3(x1)
x1 = self.bn3(x1, training=training)
x2 = self.short(x)
x2 = self.bn4(x2, training=training)
x3 = tf.keras.layers.add([x1, x2])
x3 = self.act3(x3)
return x3
class IdentityBlock(Layer):
def __init__(
self,
filters:list,
kernel_size:tuple,
stage:int,
block:int,
use_bias:bool=False
):
super(IdentityBlock, self).__init__()
self._bn_axis = 3 if K.image_data_format() == 'channels_last' else 1
self._name = f"conv{stage}_{block}"
# layers
self.conv1 = Conv2D(
filters=filters[0],
kernel_size=(1,1),
use_bias=use_bias,
name=f"{self._name}_red"
)
self.bn1 = BatchNormalization(
axis=self._bn_axis,
name=f"{self._name}_bn1"
)
self.act1 = Activation('relu')
self.conv2 = Conv2D(
filters=filters[1],
kernel_size=kernel_size,
padding='same',
use_bias=use_bias,
name=f"{self._name}"
)
self.bn2 = BatchNormalization(
axis=self._bn_axis,
name=f"{self._name}_bn2"
)
self.act2 = Activation('relu')
self.conv3 = Conv2D(
filters=filters[2],
kernel_size=(1,1),
use_bias=use_bias,
name=f"{self._name}_inc"
)
self.bn3 = BatchNormalization(
axis=self._bn_axis,
name=f"{self._name}_bn3"
)
self.act3 = Activation('relu')
def call(
self,
x,
training:bool=False
):
x1 = self.conv1(x)
x1 = self.bn1(x1, training=training)
x1 = self.act1(x1)
x1 = self.conv2(x1)
x1 = self.bn2(x1, training=training)
x1 = self.act2(x1)
x1 = self.conv3(x1)
x1 = self.bn3(x1, training=training)
x2 = tf.keras.layers.add([x1, x])
x2 = self.act3(x2)
return x2 | 23.44 | 76 | 0.496831 | 462 | 4,102 | 4.201299 | 0.147186 | 0.057702 | 0.064915 | 0.093766 | 0.90778 | 0.846986 | 0.846986 | 0.846986 | 0.836167 | 0.836167 | 0 | 0.047807 | 0.382984 | 4,102 | 175 | 77 | 23.44 | 0.719083 | 0.003169 | 0 | 0.769784 | 0 | 0 | 0.076848 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028777 | false | 0 | 0 | 0 | 0.057554 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
af1c13c6fffffe91209c983c0af965701b335d80 | 45,051 | py | Python | test/test.py | kcorlidy/importaddress | e63aeb2e288df29435d9321a0a90e4c905b851fa | [
"Apache-2.0"
] | null | null | null | test/test.py | kcorlidy/importaddress | e63aeb2e288df29435d9321a0a90e4c905b851fa | [
"Apache-2.0"
] | null | null | null | test/test.py | kcorlidy/importaddress | e63aeb2e288df29435d9321a0a90e4c905b851fa | [
"Apache-2.0"
] | 1 | 2021-05-03T23:42:18.000Z | 2021-05-03T23:42:18.000Z | import unittest
from importaddress.func import MoNscript
from importaddress.hdprotocol import serialize
from importaddress.address import P2PKH, P2SH, P2WPKHoP2SH, P2WSHoP2SH, P2WPKH, P2WSH
from collections import OrderedDict
from binascii import unhexlify
words = "record pencil flock congress slim antenna tongue engage swamp soup stumble uniform collect surface neck snow celery goddess conduct cycle crowd smile secret panel"
entropy = "b3d45565178cbc13b91a52db39ff5ef6b2d9b464ee6c250c84bb1b63459970a4"
seed = "b0c32baffae7dc92b61706424ca70077f0b5252f1c75d37eeb3f783caec3bcb45a61f42cd2262398ea97bdf58be668d00266492ac4dddece59112928205970b6"
extendedkey = "xprv9s21ZrQH143K33Hs433wxGWgdEEJnW9UxGGiYjBm3h8i3T2azuvWETDw3khwd6CafxUHiko1C5RmfArFgFS5LnxnXbwJkTft7Rt9ozKMJoX"
extendedkey_publickey = "xpub661MyMwAqRbcFXNLA4axKQTRBG4oBxsLKVCKM7bNc2fgvFMjYTEknFYQu1e3kkhXDmWoDQg2fCrWKgrGq2MyWprc6CN3KWg7pd5uL2i4JHv"
extendedkey_testnet = "tprv8ZgxMBicQKsPdrXPibuT7v8fwMeX22BVHpBqR9cDXfdBq3mfzHGFkCbNxvsbdTau3Q14irQmMS1a82PzoTn29rEP4F9cQpPw2XdaFe8TVxZ"
class test(unittest.TestCase):
def test_using_bip44_49_84(self):
'''
Default cointype is `bitcoin`, cointype only influence version bytes of `extended key`.
If you want to see `extended key` you have to set parameter `show_extend_key = True` and
use `to_json` or `raw` to show it
'''
bip44 = serialize(path="m/44'/0'/0'/0", entropy=entropy).generate(5)
test_data = [
["m/44'/0'/0'/0/0","1C8ms58sg9a1dQKrTKwt2wP6eHGBJmnnEN","0201192c11fdba5f77dbee8af32f2fe038981ae4ac93a360fd698cd9f5a0def3e1","L291freeUv6GGXDD23UkvuviTTiKsdgHZ5ViNVYMFTHQZoSiykYt"],
["m/44'/0'/0'/0/1","1PU2yxbUuxs2Va8jcnE2jhu2N6pvZXHuEU","03fff7a05dda6e6b688dab2d534cc1f46cad271331dc67827cb0bf12007a64dd6e","L41ihSongCBiD9YCeKXWUidSmKPqGHEdhaHktsWHG6j1SFn46kWr"],
["m/44'/0'/0'/0/2","15Qry7hqCjqpaJ3pEoSnmFmhP3KhHwbthR","0219b78a84b266c70e8dcd060db655f36f3ea4f442b59158ee09bc7847e41a2135","Kxef5HZq9TUxW3PmHtHRe5XB7khqeTN4MC9NWsCMUNeZ7wCB1AmR"],
["m/44'/0'/0'/0/3","1MBgfJ2YHcaTk1WbuMgJzBYfJHDiK7grP3","038ef95d20f507d083b00bec9aa0f595046f1019dd0c1fa5e3e69b5b2eda78657d","KzdEGEWcWQkLb5RSsAMiopdKgcSTBP1bzp2Fdr9kERjryNxcGWxZ"],
["m/44'/0'/0'/0/4","139KkfwHytbBEQVW1GBCqJsJXud9P1dsHm","027bd4373aa42fdee6e064f7f8363cef796017ac79b27c72028dd349b50d36c3b9","L1SVV5jGhKbX4aZ5bejZVCXS51zK6b4TUGRneUewSjQ6ZHUQSoKt"]
]
self.assertEqual(bip44, test_data)
bip49 = serialize(path="m/49'/0'/0'/0", entropy=entropy).generate(5)
test_data = [["m/49'/0'/0'/0/0","34TcDG5AHzjouvzSYJPrJeGC2joeBjz3PW","02341f91a84af51fd7a4a519294dea4484b5c093102f9ba0ad0c4f6ae923af0ff6","L3bnBv6MH4CroAvsQfJMhjXm4yVNRHCRmJn596TwtNNjax7k5mqr"],
["m/49'/0'/0'/0/1","3LK9ZUpNXYXvd2GBa5CRz5cUNGybD2j9gh","03ffc10361d68e04e058a23c569ac768c8112070466119a32bca096304da91b0ac","KwK5DK8BxpUP8EjWxTHvLDRV8croVy7ELtMEnGQBTvLSyarxUZvq"],
["m/49'/0'/0'/0/2","333anCiKHDJ2R4KPe2Da7KUgrjWtcCJqpf","03462d8822d5e2a7323c9d6dc0e7655ca9dd1e00611f18667bc200fba3e7fc5951","L2HbaSAKmBqvFGSHnop1ZWiSpYs2CeTq4mNKHgBJTxBFnnmZXL5q"],
["m/49'/0'/0'/0/3","38V69bjz8xcABFW2FmRor7i5v8TTQbLX98","02868e329f8b6fbad94bfca58432d73fa82ef9a329dd940a42398fa0b8400586d6","KzFCgxNQQvB5mkVFVxmg9ZDsN9L9MYxzeJsr96yCXMoLWjQqraRV"],
["m/49'/0'/0'/0/4","3CmcVpMcWWyjYHdPHwhgfJGfbXYA9MzahS","02cfcc7a964e0a7e549bdbaeaf3dcef2d7c0f1dbd8c0645fcce30537c66d62865a","KzHaPS7iApCPfEc6LJxtVeUN1wB8sXieK97DC1reURW7hsSQS6pM"]]
self.assertEqual(bip49, test_data)
bip84 = serialize(path="m/84'/0'/0'/0", entropy=entropy).generate(5)
test_data = [["m/84'/0'/0'/0/0","bc1qh0m35vfdzvle56rk86j3pstfgwlhlvv47dp3kg","0208adb0e2f515f4831ae1e7d737e006b6a9e03893d7d70bed06ee735a004861c7","KwzvYh3pt5Xkju4LHMWPkLSJoGHRCpCDjDmcsMTLKHEtpb5w9A31"],
["m/84'/0'/0'/0/1","bc1qcz90q3j0g62esgfzc3jak0ltfk2hrhnvzq7lv9","03860650443cfb396f2b75e2ab6c4cf87b5b93c4c94e369ee88d1a6f1697a6e6ab","KyinKksJv72Q3iomKqQiYPTbjLmt5SYnFqLCHkxPJtE9mswQucVm"],
["m/84'/0'/0'/0/2","bc1qj33dse7mf2eqnf8t02aylkhfgpur44p7dvy43r","025e9aa01551839188ff84b0644c6f94208c41dde3f4325b4c8d1e4e4ddcc81864","Kz65McGX1h58hF8wkDRuEaF4aThEiVokEuRdWuZrhuqshDAYwQLk"],
["m/84'/0'/0'/0/3","bc1qu6d7mrn9sqh83eek224wwagmzqlzglpx36ze2e","03e36c1c54bf6581d2ef6263e675247c6bc0979b547f742ad8cb5d5609ee66251e","L2yzCjTZwi61vLcaNDLjSfgVCt7EudgfgQ9ZvTrTM6wCy61koGPD"],
["m/84'/0'/0'/0/4","bc1qt58rqh7cg9vgtsvl2teamkrxxw9hf03ytjum6t","034cb0779bf451bf39adf0ba50fc91539d733f654bbadcba15ab2777a0554637ee","KwGqRptvCRF95T1V4Gq7ejy47HWPRg3T367pTpJdZt25tydrnbSz"]]
self.assertEqual(bip84, test_data)
def test_using_bip__with_wrong_cointype(self):
# It doesn't matter, because only `extended key` is associated with cointype
# When `show_extend_key` turn off, so `ExtendedKey` function will not be triggered.
# That means cointype will not be used
# default `show_extend_key = False`
bip44 = serialize(path="m/44'/0'/0'/0", entropy=entropy,
cointype = "bitcoins")
addresses = bip44.generate(2)
test_data = [["m/44'/0'/0'/0/0","1C8ms58sg9a1dQKrTKwt2wP6eHGBJmnnEN","0201192c11fdba5f77dbee8af32f2fe038981ae4ac93a360fd698cd9f5a0def3e1","L291freeUv6GGXDD23UkvuviTTiKsdgHZ5ViNVYMFTHQZoSiykYt"],
["m/44'/0'/0'/0/1","1PU2yxbUuxs2Va8jcnE2jhu2N6pvZXHuEU","03fff7a05dda6e6b688dab2d534cc1f46cad271331dc67827cb0bf12007a64dd6e","L41ihSongCBiD9YCeKXWUidSmKPqGHEdhaHktsWHG6j1SFn46kWr"]]
self.assertEqual(addresses, test_data)
# But when you turn on it,
# library will warn you that database could not find a relative version bytes
bip49 = serialize(path="m/49'/0'/0'/0", entropy=entropy,
cointype = "bitcoins", show_extend_key = True)
bip49 = bip49.generate(2).raw
self.assertEqual(bip49.get("Entropy") , "b3d45565178cbc13b91a52db39ff5ef6b2d9b464ee6c250c84bb1b63459970a4")
self.assertEqual(bip49.get("Mnemonic") , "record pencil flock congress slim antenna tongue engage swamp soup stumble uniform collect surface neck snow celery goddess conduct cycle crowd smile secret panel")
self.assertEqual(bip49.get("Seed") , "b0c32baffae7dc92b61706424ca70077f0b5252f1c75d37eeb3f783caec3bcb45a61f42cd2262398ea97bdf58be668d00266492ac4dddece59112928205970b6")
self.assertEqual(bip49.get("BIP32 Root Key") , ('Can not compute extended key because database lacks of version bytes', 'Can not compute extended key because database lacks of version bytes'))
self.assertEqual(bip49.get("Cointype") , "bitcoins")
self.assertEqual(bip49.get("Purpose") , "49")
self.assertEqual(bip49.get("Coin") , "0")
self.assertEqual(bip49.get("Account") , "0")
self.assertEqual(bip49.get("External/Internal") , "0")
self.assertEqual(bip49.get("Account Extended Private Key") , "Can not compute extended key because database lacks of version bytes")
self.assertEqual(bip49.get("Account Extended Public Key") , "Can not compute extended key because database lacks of version bytes")
self.assertEqual(bip49.get("BIP32 Derivation Path") , "m/49'/0'/0'/0")
self.assertEqual(bip49.get("BIP32 Extended Pri/Pub Key") , ('Can not compute extended key because database lacks of version bytes', 'Can not compute extended key because database lacks of version bytes'))
self.assertEqual(bip49.get("Derived Addresses") , [["m/49'/0'/0'/0/0", '34TcDG5AHzjouvzSYJPrJeGC2joeBjz3PW', '02341f91a84af51fd7a4a519294dea4484b5c093102f9ba0ad0c4f6ae923af0ff6', 'L3bnBv6MH4CroAvsQfJMhjXm4yVNRHCRmJn596TwtNNjax7k5mqr'],
["m/49'/0'/0'/0/1", '3LK9ZUpNXYXvd2GBa5CRz5cUNGybD2j9gh', '03ffc10361d68e04e058a23c569ac768c8112070466119a32bca096304da91b0ac', 'KwK5DK8BxpUP8EjWxTHvLDRV8croVy7ELtMEnGQBTvLSyarxUZvq']])
def test_using_bip__with_custom_version_bytes(self):
bip44 = serialize(path="m/44'/0'/0'/0", entropy=entropy,
cointype = ("0488ade4", "0488b21e"), show_extend_key = True).generate(4)
bip44 = bip44.raw
self.assertEqual(bip44.get("Entropy") , "b3d45565178cbc13b91a52db39ff5ef6b2d9b464ee6c250c84bb1b63459970a4")
self.assertEqual(bip44.get("Mnemonic") , "record pencil flock congress slim antenna tongue engage swamp soup stumble uniform collect surface neck snow celery goddess conduct cycle crowd smile secret panel")
self.assertEqual(bip44.get("Seed") , "b0c32baffae7dc92b61706424ca70077f0b5252f1c75d37eeb3f783caec3bcb45a61f42cd2262398ea97bdf58be668d00266492ac4dddece59112928205970b6")
self.assertEqual(bip44.get("BIP32 Root Key") , ('xprv9s21ZrQH143K33Hs433wxGWgdEEJnW9UxGGiYjBm3h8i3T2azuvWETDw3khwd6CafxUHiko1C5RmfArFgFS5LnxnXbwJkTft7Rt9ozKMJoX',
'xpub661MyMwAqRbcFXNLA4axKQTRBG4oBxsLKVCKM7bNc2fgvFMjYTEknFYQu1e3kkhXDmWoDQg2fCrWKgrGq2MyWprc6CN3KWg7pd5uL2i4JHv'))
self.assertEqual(bip44.get("Cointype") , "Custom cointype")
self.assertEqual(bip44.get("Purpose") , "44")
self.assertEqual(bip44.get("Coin") , "0")
self.assertEqual(bip44.get("Account") , "0")
self.assertEqual(bip44.get("External/Internal") , "0")
self.assertEqual(bip44.get("Account Extended Private Key") , "xprv9yVDX77FMyqFhDpkX2kFE5hVzNixReJfF6SDbsCXKuGcLMEmbW3STcgU5UQpTFmuVrU6GZza1DhbqHWc7bX1qvYUNm4ARZMarpSJkFrvhfA")
self.assertEqual(bip44.get("Account Extended Public Key") , "xpub6CUZvce9CMPYuhuDd4HFbDeEYQZSq72WcKMpQFc8tEobD9Zv93Mh1Qzwvki9aADQN3yFfeNa9y19BzZnjM1iWS6CdL3J1anaLvUEGt3rXFv")
self.assertEqual(bip44.get("BIP32 Derivation Path") , "m/44'/0'/0'/0")
self.assertEqual(bip44.get("BIP32 Extended Pri/Pub Key") , ('xprvA2FTBkvYWYtGaodjNq62S3SUaNBfEewnNEHqmd4nKZ2T3MHTNH8Aan6GALm3XEkHUREQP7MXX6BHa2J4HBW8JP5xQ8Cgs9htqEG2crpZbGp',
'xpub6FEobGTSLvSZoHiCUrd2oBPD8Q29e7fdjTDSa1UPstZRv9cbupSR8aQk1cJxFMwrcnYkXb6rdcFtb6JDoRrpdiEb1VwGWKANjmJRXefJjAT'))
self.assertEqual(bip44.get("Derived Addresses") , [
["m/44'/0'/0'/0/0", '1C8ms58sg9a1dQKrTKwt2wP6eHGBJmnnEN', '0201192c11fdba5f77dbee8af32f2fe038981ae4ac93a360fd698cd9f5a0def3e1', 'L291freeUv6GGXDD23UkvuviTTiKsdgHZ5ViNVYMFTHQZoSiykYt'],
["m/44'/0'/0'/0/1", '1PU2yxbUuxs2Va8jcnE2jhu2N6pvZXHuEU', '03fff7a05dda6e6b688dab2d534cc1f46cad271331dc67827cb0bf12007a64dd6e', 'L41ihSongCBiD9YCeKXWUidSmKPqGHEdhaHktsWHG6j1SFn46kWr'],
["m/44'/0'/0'/0/2", '15Qry7hqCjqpaJ3pEoSnmFmhP3KhHwbthR', '0219b78a84b266c70e8dcd060db655f36f3ea4f442b59158ee09bc7847e41a2135', 'Kxef5HZq9TUxW3PmHtHRe5XB7khqeTN4MC9NWsCMUNeZ7wCB1AmR'],
["m/44'/0'/0'/0/3", '1MBgfJ2YHcaTk1WbuMgJzBYfJHDiK7grP3', '038ef95d20f507d083b00bec9aa0f595046f1019dd0c1fa5e3e69b5b2eda78657d', 'KzdEGEWcWQkLb5RSsAMiopdKgcSTBP1bzp2Fdr9kERjryNxcGWxZ']])
def test_custom_address_type(self):
# In custom module, extended key never show
# Besides, library will not check if you are using correct address type.
# So you will not see any warnings, even you are using P2SH, P2WSH to single public key.
custom = serialize(path="m/2'/0", entropy=entropy,
custom_addr_type = P2WPKH).generate(4)
test_data = [["m/2'/0/0", 'bc1qfpul4zxrc7z35ztxmkycr3298qspsqcg5zddls', '0294e050ca9ad7cee27b87729d2a85336c72782164385b2e03a5d82925328679c2', 'KzP7tCafv8xM1RFbnVAjAf14mGj9jBspYFqZ7Bp8Q7JbZyEnG7mG'],
["m/2'/0/1", 'bc1qcdfwngf7fczfty67dgsx4c2ghl8uqg74ss5xg3', '033588fa3711f45835c778d46f8b09f6875ecfa64b42d619eb1eeb77e7901da004', 'L44zErFTKZZRCpqPEBYF9XiMzLNXGKeazFd987tEBtbETjmagjVu'],
["m/2'/0/2", 'bc1q2v6jakyjzjgtsgdy5rgvyzm4qv0megczrl3nzp', '02099e466251b155cd0533c16ac088c157f61305af8188969a419d125509250cdb', 'KxzmGnjeJYVp4T2XKJTGVcpnN1yCvhUmoZEjWKdm8f41f1KKTaaN'],
["m/2'/0/3", 'bc1qp7wqm426kl459va84nkh4hu9hterdnf6s0fpgp', '02cd2a29e800284cdd7140dca08a43d836a389258a5f9f0afc44cb1c2281051f25', 'KyiNkDDErcpm13pQTQAXwmJdwsFxkNPEVWLjjcuJCTFwKPsg3A5q']]
self.assertEqual(custom, test_data)
custom2 = serialize(path="m/2/0", entropy=entropy,
custom_addr_type = P2WSH).generate(4)
test_data = [['m/2/0/0', 'bc1qc7f4w39cy6t4fugc9rycjp5y79cshz3c6rqjt88682tszg0jjs2semzrdg', '0243492671025defce6365634a19bc65cc58a029d39d3a381b4fb5126c4472383e', 'L1xqHqoeNSTcWH5Xt4X4kJoU7TzkWb1Le6AqRTP9ndfLKZng3sph'],
['m/2/0/1', 'bc1qcgxurvph5srfu399lym553k5kvyqryfz38g3snd8r6grrlm5j8dq4jkyje', '024c68e33d65ffe72e25a3a83c9894b92a48292f109104fc9dad65dde9ee61d9f5', 'Kwzf6gLgWw39cSoAchnkurac58nWxFKDNPhEKsciuriwkB8gef6d'],
['m/2/0/2', 'bc1q6q80unxc76qnatvredfkjhxksx97lvrnte0ucc4wf6zhz8q4pnvs04g209', '036d361cb15b33df41c7dd40abb411144aff8fb5b993e23dec7fbf2a00437b5b11', 'L2nNDuL2eva55yHJRxLLzVBdppRUxzbAqh6adUDBotqhgLeAJ8qB'],
['m/2/0/3', 'bc1q5x5guh0zag23xm2cpgd8jms3x6hv6sk6sfk5tcyyjnar4j2vnz4qr2jcvy', '02499d21cbf997a044449f8ddb9d0cf08070227c23ecdbd0381ab57b00540b19ae', 'L5duPoCc1AVv51rbbn6Pjh4Xf3Won5E5aByzj34QFV7egaodyiTT']]
self.assertEqual(custom2, test_data)
custom3 = serialize(path="m/2/0", entropy=entropy,
custom_addr_type = P2WSH).generate(4, raw = False)
custom3 = custom3.raw.get("Derived Addresses") # custom3.Derived_Addresses
test_data = [['m/2/0/0', 'bc1qc7f4w39cy6t4fugc9rycjp5y79cshz3c6rqjt88682tszg0jjs2semzrdg', '0243492671025defce6365634a19bc65cc58a029d39d3a381b4fb5126c4472383e', 'L1xqHqoeNSTcWH5Xt4X4kJoU7TzkWb1Le6AqRTP9ndfLKZng3sph'],
['m/2/0/1', 'bc1qcgxurvph5srfu399lym553k5kvyqryfz38g3snd8r6grrlm5j8dq4jkyje', '024c68e33d65ffe72e25a3a83c9894b92a48292f109104fc9dad65dde9ee61d9f5', 'Kwzf6gLgWw39cSoAchnkurac58nWxFKDNPhEKsciuriwkB8gef6d'],
['m/2/0/2', 'bc1q6q80unxc76qnatvredfkjhxksx97lvrnte0ucc4wf6zhz8q4pnvs04g209', '036d361cb15b33df41c7dd40abb411144aff8fb5b993e23dec7fbf2a00437b5b11', 'L2nNDuL2eva55yHJRxLLzVBdppRUxzbAqh6adUDBotqhgLeAJ8qB'],
['m/2/0/3', 'bc1q5x5guh0zag23xm2cpgd8jms3x6hv6sk6sfk5tcyyjnar4j2vnz4qr2jcvy', '02499d21cbf997a044449f8ddb9d0cf08070227c23ecdbd0381ab57b00540b19ae', 'L5duPoCc1AVv51rbbn6Pjh4Xf3Won5E5aByzj34QFV7egaodyiTT']]
self.assertEqual(custom3, test_data)
def test_multisig(self):
# Only one address each times.
custom3 = serialize(path="m/9'/0", entropy=entropy,
custom_addr_type = P2WSH, testnet = True)
result = custom3.generate_multisig(mon = (15,15))
# path, public key list, private key list, address, MoNscript(witnessscript/redeemscript), redemscript(P2SH only)
test_data = [ "m/9'/0/0~15",
('034f54bb7182f4339380a98726eb216c44400f2793385020e709338926e923dcfd',
'023121fda1389ba760687b4a92843b00d504e1156da725bcdd79be838e430c7d96',
'03e450a808be7ff4bd9e795ed6c89ed1146dc4cd6a52806d3e1bde45e7d0506a96',
'02989fb56d429d39ccd692544c2abd32c2c5748385cf3db6f5815c9e03bfb40273',
'03062a90d4e1ee03da48dea59e3373f36afb5ad55ccb16fdce986ba8ca3aca6a39',
'03659e98a6d4f5570176371298302b3ecc01c3c8b1661cb61599cba9d7ab54d31a',
'02a7aceda8b6a6bc062de73562d14fd088808c7e344fe7567eb199665e379cff28',
'031a3b5105aa2b811eba7e7af6f1ea3bfec7a7b3993eed23fdaf629b23924f2d2b',
'023c8ae2d317357af16e068c1a427bccdc192eea190086c339a3d18d7b21b264de',
'030018f07f0c48307cf14aee0b1453a2ee12dc7045eedc91ca1540fc76ee3d0d3a',
'0257a658d25f9c56793236a5bafca44876fc3344823d3f08c1838dc5107c45c41d',
'02fe00702080abf52d02cc8d3b33354b42e3181e341d5fd26c4c195a743a11b03d',
'02f11aa7a0487314d1b938ea11adea4edf5097c071d32378af1f3467b3fc07fa88',
'0363fc5750bc67eadc8052ef55035e137af672e8a8805f88b936da552f9815862a',
'0343641bbb6789be70b6ad3d9f34f11090588e965134f97ece5a4dfbcc812da7c2'),
('cSmHgUzYceu2V8ixvWKVGApDZD4QMYx56E8fuNKzpuEE8d66QGsD',
'cPgAnEnbFF6zxkRBTrNYRWFoRsqxusb6xDMGsMdtKniCr4rPTAL5',
'cTQrkHLdHmKnba9uw3iuYhx25GFYvi9f9QBa15EBfiscRmx4ZySh',
'cQrxy6mrkKDoGZLeMM8eH4NDmWbdQnz1AtELXB8JRxR4Wec58ADM',
'cPDebgod4WbzbpmfMgFXSv6eEgLiW2RC1YwDAT6RueBU7oSbPqH2',
'cPyHVSNvZADswxgUUcp69eLzPWn9RVfon2ZFG9CmuB4m8NHTk9R3',
'cUPens9VAWMEU6YxBenVNVKo767JcrHyt95NMSrswYEZQYgad142',
'cV62f11pznSLoHepSNqu5ZcSWPrG8SV57TuwYJAH5H6h5AxMuZNb',
'cQ7CjFeYHp5VTSUExae4iNKFo9BdBY6GGEEPA2RkdfWqG6oRuYJy',
'cUUoBh5b1ay4yF9rKxutTz2QugNCxiNiMXZFLdGpe1NeRq2fjc1i',
'cTBBWEKYbqwyFmtWVKw3MvScthAsHPam26YX9S4ueBZYW8r6df6V',
'cUCy6F3wbPLNQVZTroVmGELw5KxC9BpGhgyj6ZWtKCvrLKK4Hc2B',
'cQxeJcAn7TUCuJo3Nji2NFbmDtiQUoht8vGvB9RBZz7RikeThpL5',
'cNgxYrP3yjBXwr4pnEEfap2BRL6dV4yKsC1oS8FV7nYqrEqBA8nT',
'cPvx9SmDCyMqKA42buPniuvWUecfgRWpnH5sqRk9pqp8PuYxzmyY'),
'tb1q0zwle25cyned4ywwdnhxufqrtazy26vcat7353jj3raez002w49qdez7dz',
'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',
None]
self.assertEqual(result, test_data)
result = custom3.generate_multisig(mon = (15,15), sf = 4)
test_data = ["m/9'/0/4~19",
('03062a90d4e1ee03da48dea59e3373f36afb5ad55ccb16fdce986ba8ca3aca6a39',
'03659e98a6d4f5570176371298302b3ecc01c3c8b1661cb61599cba9d7ab54d31a',
'02a7aceda8b6a6bc062de73562d14fd088808c7e344fe7567eb199665e379cff28',
'031a3b5105aa2b811eba7e7af6f1ea3bfec7a7b3993eed23fdaf629b23924f2d2b',
'023c8ae2d317357af16e068c1a427bccdc192eea190086c339a3d18d7b21b264de',
'030018f07f0c48307cf14aee0b1453a2ee12dc7045eedc91ca1540fc76ee3d0d3a',
'0257a658d25f9c56793236a5bafca44876fc3344823d3f08c1838dc5107c45c41d',
'02fe00702080abf52d02cc8d3b33354b42e3181e341d5fd26c4c195a743a11b03d',
'02f11aa7a0487314d1b938ea11adea4edf5097c071d32378af1f3467b3fc07fa88',
'0363fc5750bc67eadc8052ef55035e137af672e8a8805f88b936da552f9815862a',
'0343641bbb6789be70b6ad3d9f34f11090588e965134f97ece5a4dfbcc812da7c2',
'03e7f371197cd81f044b513ac6f9df15cface526ed13a92d70b3c1a2e9e8660db7',
'02c2bf71e0c663fb6ad3948c138da0f2ac2441e602ac0bb7ff05411c4e89460707',
'03800187b7cc26213fe071492cd05aa46a4fbf76e55a0b8f8606f05ecf5a9e3ab2',
'02fcf379714d8e5c05ff62d82dd8fa93a174374e5ad703c5ec5ca3f4734b210db1'),
('cPDebgod4WbzbpmfMgFXSv6eEgLiW2RC1YwDAT6RueBU7oSbPqH2',
'cPyHVSNvZADswxgUUcp69eLzPWn9RVfon2ZFG9CmuB4m8NHTk9R3',
'cUPens9VAWMEU6YxBenVNVKo767JcrHyt95NMSrswYEZQYgad142',
'cV62f11pznSLoHepSNqu5ZcSWPrG8SV57TuwYJAH5H6h5AxMuZNb',
'cQ7CjFeYHp5VTSUExae4iNKFo9BdBY6GGEEPA2RkdfWqG6oRuYJy',
'cUUoBh5b1ay4yF9rKxutTz2QugNCxiNiMXZFLdGpe1NeRq2fjc1i',
'cTBBWEKYbqwyFmtWVKw3MvScthAsHPam26YX9S4ueBZYW8r6df6V',
'cUCy6F3wbPLNQVZTroVmGELw5KxC9BpGhgyj6ZWtKCvrLKK4Hc2B',
'cQxeJcAn7TUCuJo3Nji2NFbmDtiQUoht8vGvB9RBZz7RikeThpL5',
'cNgxYrP3yjBXwr4pnEEfap2BRL6dV4yKsC1oS8FV7nYqrEqBA8nT',
'cPvx9SmDCyMqKA42buPniuvWUecfgRWpnH5sqRk9pqp8PuYxzmyY',
'cNMET3AefACRWSCwutNEuzVCmqNDd3Afzbhu78kVzsFVzymTyMEe',
'cRR6dDEJc8PZ55iauisbYyT1L8u4HStRDjZyHpmj1nNRtRyububP',
'cNzeBc6iE2Pku1SB2229NQY7q8BkMMV4Sniu6UjRTKt5g3L3sjrT',
'cRW7HvyLLWeFjCMrxoEJPzMT3CNNFQr5vMQTqXsuMQZYaUeZ7jAh'),
'tb1qq7ca79qmepuha3fa7rrrjereygamxypmx0fpghmzwgup5y3a5gpqsw2wxd',
'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',
None]
self.assertEqual(result, test_data)
def test_to_importmulti(self):
# sf -> start from
bip = serialize(path="m/44'/0'/0'/0", entropy=entropy, testnet = True)
_, importmulti = bip.to_importmulti(n = 7, sf = 2)
test_data = '[{"scriptPubKey": {"address": "mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX"}, "label": "m/44h/0h/0h/0/8", "timestamp": "now", "pubkeys": ["03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461"], "keys": ["cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba"], "watchonly": false}, {"scriptPubKey": {"address": "mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX"}, "label": "m/44h/0h/0h/0/8", "timestamp": "now", "pubkeys": ["03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461"], "keys": ["cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba"], "watchonly": false}, {"scriptPubKey": {"address": "mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX"}, "label": "m/44h/0h/0h/0/8", "timestamp": "now", "pubkeys": ["03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461"], "keys": ["cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba"], "watchonly": false}, {"scriptPubKey": {"address": "mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX"}, "label": "m/44h/0h/0h/0/8", "timestamp": "now", "pubkeys": ["03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461"], "keys": ["cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba"], "watchonly": false}, {"scriptPubKey": {"address": "mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX"}, "label": "m/44h/0h/0h/0/8", "timestamp": "now", "pubkeys": ["03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461"], "keys": ["cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba"], "watchonly": false}, {"scriptPubKey": {"address": "mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX"}, "label": "m/44h/0h/0h/0/8", "timestamp": "now", "pubkeys": ["03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461"], "keys": ["cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba"], "watchonly": false}, {"scriptPubKey": {"address": "mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX"}, "label": "m/44h/0h/0h/0/8", "timestamp": "now", "pubkeys": ["03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461"], "keys": ["cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba"], "watchonly": false}]'
test_data2 = [OrderedDict([('scriptPubKey', {'address': 'mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX'}), ('label', 'm/44h/0h/0h/0/8'), ('timestamp', 'now'), ('pubkeys', ['03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461']), ('keys', ['cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba']), ('watchonly', False)]), OrderedDict([('scriptPubKey', {'address': 'mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX'}), ('label', 'm/44h/0h/0h/0/8'), ('timestamp', 'now'), ('pubkeys', ['03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461']), ('keys', ['cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba']), ('watchonly', False)]), OrderedDict([('scriptPubKey', {'address': 'mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX'}), ('label', 'm/44h/0h/0h/0/8'), ('timestamp', 'now'), ('pubkeys', ['03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461']), ('keys', ['cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba']), ('watchonly', False)]), OrderedDict([('scriptPubKey', {'address': 'mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX'}), ('label', 'm/44h/0h/0h/0/8'), ('timestamp', 'now'), ('pubkeys', ['03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461']), ('keys', ['cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba']), ('watchonly', False)]), OrderedDict([('scriptPubKey', {'address': 'mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX'}), ('label', 'm/44h/0h/0h/0/8'), ('timestamp', 'now'), ('pubkeys', ['03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461']), ('keys', ['cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba']), ('watchonly', False)]), OrderedDict([('scriptPubKey', {'address': 'mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX'}), ('label', 'm/44h/0h/0h/0/8'), ('timestamp', 'now'), ('pubkeys', ['03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461']), ('keys', ['cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba']), ('watchonly', False)]), OrderedDict([('scriptPubKey', {'address': 'mqNaQbjGTrjNs8e1k8Cit7iZSrbYHsCfxX'}), ('label', 'm/44h/0h/0h/0/8'), ('timestamp', 'now'), ('pubkeys', ['03ddd9f8b6a0a0179fa0affe2d7dadaafcbe63dad25e36fc02e0016a0d32c60461']), ('keys', ['cUSyCyf4Kdb8JgmAP7hLyYffbkC3AY5dvNkykYbiYRRTLazHbzba']), ('watchonly', False)])]
stateA = (importmulti == test_data)
stateB = (sorted([e.get("scriptPubKey").get("address") for e in _]) == sorted([e.get("scriptPubKey").get("address") for e in test_data2]))
self.assertEqual(any([stateA, stateB]), True) # importmulti can be random order, this the library problem between python33 34 and later
custom = serialize(path="m/21'/0", entropy=entropy,
custom_addr_type = P2WPKH, testnet = True)
_, importmulti = custom.to_importmulti(n = 7, sf = 7)
test_data = '[{"scriptPubKey": {"address": "tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe"}, "label": "m/21h/0/13", "timestamp": "now", "pubkeys": ["02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd"], "keys": ["cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp"], "watchonly": false}, {"scriptPubKey": {"address": "tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe"}, "label": "m/21h/0/13", "timestamp": "now", "pubkeys": ["02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd"], "keys": ["cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp"], "watchonly": false}, {"scriptPubKey": {"address": "tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe"}, "label": "m/21h/0/13", "timestamp": "now", "pubkeys": ["02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd"], "keys": ["cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp"], "watchonly": false}, {"scriptPubKey": {"address": "tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe"}, "label": "m/21h/0/13", "timestamp": "now", "pubkeys": ["02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd"], "keys": ["cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp"], "watchonly": false}, {"scriptPubKey": {"address": "tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe"}, "label": "m/21h/0/13", "timestamp": "now", "pubkeys": ["02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd"], "keys": ["cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp"], "watchonly": false}, {"scriptPubKey": {"address": "tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe"}, "label": "m/21h/0/13", "timestamp": "now", "pubkeys": ["02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd"], "keys": ["cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp"], "watchonly": false}, {"scriptPubKey": {"address": "tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe"}, "label": "m/21h/0/13", "timestamp": "now", "pubkeys": ["02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd"], "keys": ["cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp"], "watchonly": false}]'
test_data2 = [OrderedDict([('scriptPubKey', {'address': 'tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe'}), ('label', 'm/21h/0/13'), ('timestamp', 'now'), ('pubkeys', ['02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd']), ('keys', ['cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp']), ('watchonly', False)]), OrderedDict([('scriptPubKey', {'address': 'tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe'}), ('label', 'm/21h/0/13'), ('timestamp', 'now'), ('pubkeys', ['02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd']), ('keys', ['cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp']), ('watchonly', False)]), OrderedDict([('scriptPubKey', {'address': 'tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe'}), ('label', 'm/21h/0/13'), ('timestamp', 'now'), ('pubkeys', ['02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd']), ('keys', ['cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp']), ('watchonly', False)]), OrderedDict([('scriptPubKey', {'address': 'tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe'}), ('label', 'm/21h/0/13'), ('timestamp', 'now'), ('pubkeys', ['02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd']), ('keys', ['cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp']), ('watchonly', False)]), OrderedDict([('scriptPubKey', {'address': 'tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe'}), ('label', 'm/21h/0/13'), ('timestamp', 'now'), ('pubkeys', ['02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd']), ('keys', ['cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp']), ('watchonly', False)]), OrderedDict([('scriptPubKey', {'address': 'tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe'}), ('label', 'm/21h/0/13'), ('timestamp', 'now'), ('pubkeys', ['02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd']), ('keys', ['cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp']), ('watchonly', False)]), OrderedDict([('scriptPubKey', {'address': 'tb1qck6tpllsvfj8hlrma7hj9mv3lpqu5h3e5n60pe'}), ('label', 'm/21h/0/13'), ('timestamp', 'now'), ('pubkeys', ['02549bf4d0d609fab694a761adb287a987b93f6663ac3bbbbc376413d38bc1fbdd']), ('keys', ['cVJsr7ays1w87Yus7PTZwXE5pgjdAY85UtmTRhCsrBLJPH1g7HFp']), ('watchonly', False)])]
stateA = (importmulti == test_data)
stateB = (sorted([e.get("scriptPubKey").get("address") for e in _]) == sorted([e.get("scriptPubKey").get("address") for e in test_data2]))
self.assertEqual(any([stateA, stateB]), True)
def test_to_importmulti_multisig(self):
custom = serialize(path="m/16'/0", entropy=entropy,
custom_addr_type = P2WSH, testnet = True)
_, importmulti = custom.to_importmulti(mon = (15,15), sf = 4)
test_data = '[{"scriptPubKey": {"address": "tb1qmqp8ukkem2txsy7hyd5p097ppy7nfmpe2y36acwc4sajad4gnqjqpx0e7z"}, "label": "m/16h/0/4~19", "timestamp": "now", "pubkeys": ["027b994ac9642b0346d02a17c33b74c7b378a7ebc83c0e499cfa2ad634f2223359", "039a83d1ab7351312c7e31724aac3a971d69fe3b7b7ac91ef17d13adbc91de2873", "033fba7405668e571ff2c658c56094e950992375b6cce0ab830943cd0d3ccf3d03", "02bfe22c4c496df6fc03843c93470adb86482414e458f99fae9996212987a5e055", "03d364bfc238b8ede28d19c5287e2386b0eee0e220ca26847a1a68bf4e62f611a6", "032c9a12d01f59b45176cf9e7cf373824ee36056929c2507df8f4697e155ab6da5", "0251b61395b0c75a045904634b2b991a6cc7ffbff06ba61bac141b02df4a9fda4d", "032babd5a9af5f087de74392aa1477b6b555103423e32c16a45dd5ddc7d6b0e07b", "029020549066058a50e224b1ca9d9b0f5b765298ec90d239b8f905aacbb9506086", "02b12cc28e4914dcd8ead1068c9f1c590dc9914b5bdc7ff73d9c38a50b49e7bc7f", "025a003920dd62044bd606a64ac10a1ece88dd8bef58ebd68b04f8b53b43d46f7f", "02518cc2f63c19654f9f4c8ee1274fcb8d953f1393266587fa18e4d2f3e9641cd7", "0389185061c9e9e823ead64140284425225125a8d229038903e621dd7130fd8a07", "02cb059098018c74b9073592672c7ffd90550dded7c59d0c9826e829e8157da1b8", "036d87ed88af552d050d420a1fd39c6bc44b777798ef50c92b569d29d2985ac0d2"], "keys": ["cPC2z7rJ9w2fzycECTcNvc699QNhm54XSFFu3ZtWx2x1bnF5MaBC", "cRaa9pthv1QUzBFQGYVYBBDxc73Skgvj5q4KYEcMjL7mXkFZRCsQ", "cNhMY1vL8dJCZf5aHp4wNjxpiZ5AKDYBXdYrtcvQdp6v6UojndBe", "cVyS45EKMKniHQ2bUUJ1Ay4hXURK2JUkYKWPYnmem3CnyGnK79K8", "cPv27fCNw1fKnAApx6Vm6mhNDodAg7b1oMyvweooefcfABd2jN5v", "cUs1kgaYWYxmDdFFB1itp5dEpQFSyi9pBY1FjdrbCsTf3ta9xnfd", "cPMrXuD985iPVHaJXrdMh66FFAWrmMHqNBzUxnejjNwVwNYJpMDw", "cTurem6czLQLMT6xKngUwqHUiVBAki5PRtmpDx7UT9s1N35JwPoe", "cSjNVHLEyhdNSoSS3iYrKRCN8tBvJrp6pd9Ch5T6jY2jTe1pfazw", "cSy25WpFDaFaZYRpWgjzRDCy7hErf5z1K2edWSurKGx81zgRGifG", "cUxMr4iSzGcXKr9CYz5szBACuEAp675sXPU5A5my4f3bRut8VvdD", "cNFDtEyRuSGzUQk1rMyuHU7CCgKtASoGhD1dSRVawFC5ESv4AHsp", "cV9U2ReeL7orSFm3PFr3fm4Zksp6Q3fQqqhBvrnabWFSCeAypChX", "cTTormMthffJRiPGKRizXEpLQ5yAA7yEVvaZ2LWVCW8XcVy7XQrs", "cQmXicjiUoZHU7FbQtoueSq8G9bvafpcdVTVNzQaVtDZqH9HePPu"], "watchonly": false, "witnessscript": "5f21027b994ac9642b0346d02a17c33b74c7b378a7ebc83c0e499cfa2ad634f222335921039a83d1ab7351312c7e31724aac3a971d69fe3b7b7ac91ef17d13adbc91de287321033fba7405668e571ff2c658c56094e950992375b6cce0ab830943cd0d3ccf3d032102bfe22c4c496df6fc03843c93470adb86482414e458f99fae9996212987a5e0552103d364bfc238b8ede28d19c5287e2386b0eee0e220ca26847a1a68bf4e62f611a621032c9a12d01f59b45176cf9e7cf373824ee36056929c2507df8f4697e155ab6da5210251b61395b0c75a045904634b2b991a6cc7ffbff06ba61bac141b02df4a9fda4d21032babd5a9af5f087de74392aa1477b6b555103423e32c16a45dd5ddc7d6b0e07b21029020549066058a50e224b1ca9d9b0f5b765298ec90d239b8f905aacbb95060862102b12cc28e4914dcd8ead1068c9f1c590dc9914b5bdc7ff73d9c38a50b49e7bc7f21025a003920dd62044bd606a64ac10a1ece88dd8bef58ebd68b04f8b53b43d46f7f2102518cc2f63c19654f9f4c8ee1274fcb8d953f1393266587fa18e4d2f3e9641cd7210389185061c9e9e823ead64140284425225125a8d229038903e621dd7130fd8a072102cb059098018c74b9073592672c7ffd90550dded7c59d0c9826e829e8157da1b821036d87ed88af552d050d420a1fd39c6bc44b777798ef50c92b569d29d2985ac0d263ae"}]'
test_data2 = OrderedDict([('scriptPubKey', {'address': 'tb1qmqp8ukkem2txsy7hyd5p097ppy7nfmpe2y36acwc4sajad4gnqjqpx0e7z'}), ('label', 'm/16h/0/4~19'), ('timestamp', 'now'), ('pubkeys', ('027b994ac9642b0346d02a17c33b74c7b378a7ebc83c0e499cfa2ad634f2223359', '039a83d1ab7351312c7e31724aac3a971d69fe3b7b7ac91ef17d13adbc91de2873', '033fba7405668e571ff2c658c56094e950992375b6cce0ab830943cd0d3ccf3d03', '02bfe22c4c496df6fc03843c93470adb86482414e458f99fae9996212987a5e055', '03d364bfc238b8ede28d19c5287e2386b0eee0e220ca26847a1a68bf4e62f611a6', '032c9a12d01f59b45176cf9e7cf373824ee36056929c2507df8f4697e155ab6da5', '0251b61395b0c75a045904634b2b991a6cc7ffbff06ba61bac141b02df4a9fda4d', '032babd5a9af5f087de74392aa1477b6b555103423e32c16a45dd5ddc7d6b0e07b', '029020549066058a50e224b1ca9d9b0f5b765298ec90d239b8f905aacbb9506086', '02b12cc28e4914dcd8ead1068c9f1c590dc9914b5bdc7ff73d9c38a50b49e7bc7f', '025a003920dd62044bd606a64ac10a1ece88dd8bef58ebd68b04f8b53b43d46f7f', '02518cc2f63c19654f9f4c8ee1274fcb8d953f1393266587fa18e4d2f3e9641cd7', '0389185061c9e9e823ead64140284425225125a8d229038903e621dd7130fd8a07', '02cb059098018c74b9073592672c7ffd90550dded7c59d0c9826e829e8157da1b8', '036d87ed88af552d050d420a1fd39c6bc44b777798ef50c92b569d29d2985ac0d2')), ('keys', ('cPC2z7rJ9w2fzycECTcNvc699QNhm54XSFFu3ZtWx2x1bnF5MaBC', 'cRaa9pthv1QUzBFQGYVYBBDxc73Skgvj5q4KYEcMjL7mXkFZRCsQ', 'cNhMY1vL8dJCZf5aHp4wNjxpiZ5AKDYBXdYrtcvQdp6v6UojndBe', 'cVyS45EKMKniHQ2bUUJ1Ay4hXURK2JUkYKWPYnmem3CnyGnK79K8', 'cPv27fCNw1fKnAApx6Vm6mhNDodAg7b1oMyvweooefcfABd2jN5v', 'cUs1kgaYWYxmDdFFB1itp5dEpQFSyi9pBY1FjdrbCsTf3ta9xnfd', 'cPMrXuD985iPVHaJXrdMh66FFAWrmMHqNBzUxnejjNwVwNYJpMDw', 'cTurem6czLQLMT6xKngUwqHUiVBAki5PRtmpDx7UT9s1N35JwPoe', 'cSjNVHLEyhdNSoSS3iYrKRCN8tBvJrp6pd9Ch5T6jY2jTe1pfazw', 'cSy25WpFDaFaZYRpWgjzRDCy7hErf5z1K2edWSurKGx81zgRGifG', 'cUxMr4iSzGcXKr9CYz5szBACuEAp675sXPU5A5my4f3bRut8VvdD', 'cNFDtEyRuSGzUQk1rMyuHU7CCgKtASoGhD1dSRVawFC5ESv4AHsp', 'cV9U2ReeL7orSFm3PFr3fm4Zksp6Q3fQqqhBvrnabWFSCeAypChX', 'cTTormMthffJRiPGKRizXEpLQ5yAA7yEVvaZ2LWVCW8XcVy7XQrs', 'cQmXicjiUoZHU7FbQtoueSq8G9bvafpcdVTVNzQaVtDZqH9HePPu')), ('watchonly', False), ('witnessscript', '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')])
stateA = (importmulti == test_data)
stateB = (_.get("witnessscript") == test_data2.get("witnessscript") and _.get("keys") == test_data2.get("keys"))
self.assertEqual(any([stateA, stateB]), True)
def test_to_json(self):
custom = serialize(path="m/2'/0", entropy=entropy,
custom_addr_type = P2WPKH).generate(40, raw = False).to_json()
def test_to_csv(self):
custom = serialize(path="m/2'/0", entropy=entropy,
custom_addr_type = P2WPKH).generate(40, raw = False).to_csv()
def test_address(self):
# Ignoring redeemscript as this is not a P2SH script. Means only P2SH need redeemscript
pk = "0279BE667EF9DCBBAC55A06295CE870B07029BFCDB2DCE28D959F2815B16F81798"
p2wsh = "bc1qrp33g0q5c5txsp9arysrx4k6zdkfs4nce4xj0gdcccefvpysxf3qccfmv3"
p2wpkh = "bc1qw508d6qejxtdg4y5r3zarvary0c5xw7kv8f3t4"
self.assertEqual(P2WPKH(pk).address , p2wpkh)
self.assertEqual(P2WSH(pk).address , p2wsh)
P2WSHoP2SHAddress_witnessScript = "5221021e6617e06bb90f621c3800e8c37ab081a445ae5527f6c5f68a022e7133f9b5fe2103bea1a8ce6369435bb74ff1584a136a7efeebfe4bc320b4d59113c92acd869f38210280631b27700baf7d472483fadfe1c4a7340a458f28bf6bae5d3234312d684c6553ae"
P2WSHoP2SHAddress_ = "3CYkk3x1XUvdXCdHtRFdjMjp17PuJ8eR8z"
self.assertEqual(P2WSHoP2SH(P2WSHoP2SHAddress_witnessScript).address , P2WSHoP2SHAddress_)
# need a standard data, 51..51ae might be changed now, i think
redeemScript_single = "5141042f90074d7a5bf30c72cf3a8dfd1381bdbd30407010e878f3a11269d5f74a58788505cdca22ea6eab7cfb40dc0e07aba200424ab0d79122a653ad0c7ec9896bdf51ae"
single_P2SH_address = "3P14159f73E4gFr7JterCCQh9QjiTjiZrG"
redeemScript_mon = "522102194e1b5671daff4edc82ce01589e7179a874f63d6e5157fa0def116acd2c3a522103a043861e123bc67ddcfcd887b167e7ff9d00702d1466524157cf3b28c7aca71b2102a49a62a9470a31ee51824f0ee859b0534a4f555c0e2d7a9d9915d6986bfc200453ae"
mon_P2SH_address = "3JUJgXbB1WpDEJprE8wP8vEXtba36dAYbk"
self.assertEqual(P2SH(redeemScript_single).address , single_P2SH_address)
self.assertEqual(P2SH(redeemScript_mon).address , mon_P2SH_address)
publickeylist = ["021e6617e06bb90f621c3800e8c37ab081a445ae5527f6c5f68a022e7133f9b5fe", "03bea1a8ce6369435bb74ff1584a136a7efeebfe4bc320b4d59113c92acd869f38", "0280631b27700baf7d472483fadfe1c4a7340a458f28bf6bae5d3234312d684c65"]
self.assertEqual(MoNscript(2,3,publickeylist) , "5221021e6617e06bb90f621c3800e8c37ab081a445ae5527f6c5f68a022e7133f9b5fe2103bea1a8ce6369435bb74ff1584a136a7efeebfe4bc320b4d59113c92acd869f38210280631b27700baf7d472483fadfe1c4a7340a458f28bf6bae5d3234312d684c6553ae")
pk = "02fa84946ba062ea6cadf77561ca8859ef1de8edf6dd0bf91f516b770c84135b60"
self.assertEqual(P2PKH(pk).address , "1DksSA9vNRbpG6etkDoWkqVHBfj8HmtyL9")
# https://github.com/bitcoin/bips/blob/master/bip-0143.mediawiki#Native_P2WPKH
key = "025476c2e83188368da1ff3e292e7acafcdb3566bb0ad253f62fc70f07aeee6357"
self.assertEqual(P2WPKH(key).scriptpubkey , "00141d0f172a0ecb48aee1be1f2687d2963ae33f71a1") # ScriptPubKey
# https://github.com/bitcoin/bips/blob/master/bip-0143.mediawiki#p2sh-p2wpkh
key = "03ad1d8e89212f0b92c74d23bb710c00662ad1470198ac48c43f7d6f93a2a26873"
clss = P2WPKHoP2SH(key)
redeemscript, ScriptPubKey = clss.redeemscript, clss.scriptpubkey
self.assertEqual(redeemscript , "001479091972186c449eb1ded22b78e40d009bdf0089")
self.assertEqual(ScriptPubKey , "a9144733f37cf4db86fbc2efed2500b4f4e49f31202387")
self.assertEqual(P2WPKHoP2SH(key).address, "38BW8nqpHSWpkf5sXrQd2xYwvnPJwP59ic")
key = "21026dccc749adc2a9d0d89497ac511f760f45c47dc5ed9cf352a58ac706453880aeadab210255a9626aebf5e29c0e6538428ba0d1dcf6ca98ffdf086aa8ced5e0d0215ea465ac"
self.assertEqual(P2WSH(key).scriptpubkey , "00205d1b56b63d714eebe542309525f484b7e9d6f686b3781b6f61ef925d66d6f6a0")
key = "56210307b8ae49ac90a048e9b53357a2354b3334e9c8bee813ecb98e99a7e07e8c3ba32103b28f0c28bfab54554ae8c658ac5c3e0ce6e79ad336331f78c428dd43eea8449b21034b8113d703413d57761b8b9781957b8c0ac1dfe69f492580ca4195f50376ba4a21033400f6afecb833092a9a21cfdf1ed1376e58c5d1f47de74683123987e967a8f42103a6d48b1131e94ba04d9737d61acdaa1322008af9602b3b14862c07a1789aac162102d8b661b0b3302ee2f162b09e07a55ad5dfbe673a9f01d9f0c19617681024306b56ae"
clss = P2WSHoP2SH(key)
redeemScript, ScriptPubKey = clss.redeemscript, clss.scriptpubkey
self.assertEqual(redeemScript , "0020a16b5755f7f6f96dbd65f5f0d6ab9418b89af4b1f14a1bb8a09062c35f0dcb54")
self.assertEqual(ScriptPubKey , "a9149993a429037b5d912407a71c252019287b8d27a587")
key = "039e84846f40570adc5cef6904e10d9f5a5dadb9f2afd07cc9aad188d769c50b46"
self.assertEqual(P2PKH(key).scriptpubkey , "76a914d259038d23c4a8f9dd4eaaf92316d191f18d963788ac")
self.assertEqual(P2WPKHoP2SH("39wSTzCS9BiwF3Vci1tGXwyDXa1LReG9Jc").scriptpubkey , "a9145a7b51041e3f0959db7783c097f278dd139ce43687")
self.assertEqual(P2WSHoP2SH("3JXRVxhrk2o9f4w3cQchBLwUeegJBj6BEp").scriptpubkey , "a914b8a9a8ba8cf965b7df6b05afd948e53c351b2c0d87")
# self.assertEqual(P2SH() They base on P2SH function, so pass
self.assertEqual(P2PKH("1LBDY5Sugh4i2XS6StMKA1ZZiyN4a59Sdf").scriptpubkey , "76a914d259038d23c4a8f9dd4eaaf92316d191f18d963788ac")
self.assertEqual(P2WPKH("tb1qm3e067l5aadlmr07qg05rudd05m3vmw2606rzj").scriptpubkey , "0014dc72fd7bf4ef5bfd8dfe021f41f1ad7d37166dca")
# Data from 9988eaabbcf5976d13f91c28604f921239ed3fadf4592d1a0a0e288b419a78a4
key = "5221035c8e83fa4ca1d74d10f122daaac69b006e5c02a1594b78907881190500b1f22a2102c1235301c06e94bdd44c248e6c824b58fafea3ceee4db2857402e322486046842103e46359fd20b25a7be466984f156084be0dead32e4e99cec2e0f7c9ad4863daaa53ae"
self.assertEqual(P2WSH(key).scriptpubkey , "0020d3124de88d90949cf90ed655bfd306f00d9473387eedc59d819d51bc6880f29d")
self.assertEqual(P2WSH("bc1qm2pz5342a0n3ctv9hm6s568zeye8cw7j90j0nmjdwkrcy78qs2nsfyp945").scriptpubkey , "0020da822a46aaebe71c2d85bef50a68e2c9327c3bd22be4f9ee4d75878278e082a7")
self.assertEqual(P2WSH("tb1q0zwle25cyned4ywwdnhxufqrtazy26vcat7353jj3raez002w49qdez7dz").scriptpubkey, "0020789dfcaa9824f2da91ce6cee6e24035f44456998eafd1a465288fb913dea754a")
# hex-bytes input
key = "039e84846f40570adc5cef6904e10d9f5a5dadb9f2afd07cc9aad188d769c50b46"
self.assertEqual(P2PKH(unhexlify(key)).scriptpubkey , "76a914d259038d23c4a8f9dd4eaaf92316d191f18d963788ac")
def test_fromExtendedKey(self):
bip44 = serialize(path="m/44'/0'/0'/0", extended_key = (extendedkey, False)).generate(5) # ispublic False
try:
_bip44 = serialize(path="m/44'/0'/0'/0", extended_key = (extendedkey_publickey, True))
except Exception as e:
err = e
test_data = [
["m/44'/0'/0'/0/0","1C8ms58sg9a1dQKrTKwt2wP6eHGBJmnnEN","0201192c11fdba5f77dbee8af32f2fe038981ae4ac93a360fd698cd9f5a0def3e1","L291freeUv6GGXDD23UkvuviTTiKsdgHZ5ViNVYMFTHQZoSiykYt"],
["m/44'/0'/0'/0/1","1PU2yxbUuxs2Va8jcnE2jhu2N6pvZXHuEU","03fff7a05dda6e6b688dab2d534cc1f46cad271331dc67827cb0bf12007a64dd6e","L41ihSongCBiD9YCeKXWUidSmKPqGHEdhaHktsWHG6j1SFn46kWr"],
["m/44'/0'/0'/0/2","15Qry7hqCjqpaJ3pEoSnmFmhP3KhHwbthR","0219b78a84b266c70e8dcd060db655f36f3ea4f442b59158ee09bc7847e41a2135","Kxef5HZq9TUxW3PmHtHRe5XB7khqeTN4MC9NWsCMUNeZ7wCB1AmR"],
["m/44'/0'/0'/0/3","1MBgfJ2YHcaTk1WbuMgJzBYfJHDiK7grP3","038ef95d20f507d083b00bec9aa0f595046f1019dd0c1fa5e3e69b5b2eda78657d","KzdEGEWcWQkLb5RSsAMiopdKgcSTBP1bzp2Fdr9kERjryNxcGWxZ"],
["m/44'/0'/0'/0/4","139KkfwHytbBEQVW1GBCqJsJXud9P1dsHm","027bd4373aa42fdee6e064f7f8363cef796017ac79b27c72028dd349b50d36c3b9","L1SVV5jGhKbX4aZ5bejZVCXS51zK6b4TUGRneUewSjQ6ZHUQSoKt"]
]
self.assertEqual(bip44, test_data)
self.assertIsNotNone(err, test_data)
def test_poolsize(self):
bip44 = serialize(path="m/44'/0'/0'/0", extended_key = (extendedkey, False)).generate(5, poolsize = 1)
test_data = [
["m/44'/0'/0'/0/0","1C8ms58sg9a1dQKrTKwt2wP6eHGBJmnnEN","0201192c11fdba5f77dbee8af32f2fe038981ae4ac93a360fd698cd9f5a0def3e1","L291freeUv6GGXDD23UkvuviTTiKsdgHZ5ViNVYMFTHQZoSiykYt"],
["m/44'/0'/0'/0/1","1PU2yxbUuxs2Va8jcnE2jhu2N6pvZXHuEU","03fff7a05dda6e6b688dab2d534cc1f46cad271331dc67827cb0bf12007a64dd6e","L41ihSongCBiD9YCeKXWUidSmKPqGHEdhaHktsWHG6j1SFn46kWr"],
["m/44'/0'/0'/0/2","15Qry7hqCjqpaJ3pEoSnmFmhP3KhHwbthR","0219b78a84b266c70e8dcd060db655f36f3ea4f442b59158ee09bc7847e41a2135","Kxef5HZq9TUxW3PmHtHRe5XB7khqeTN4MC9NWsCMUNeZ7wCB1AmR"],
["m/44'/0'/0'/0/3","1MBgfJ2YHcaTk1WbuMgJzBYfJHDiK7grP3","038ef95d20f507d083b00bec9aa0f595046f1019dd0c1fa5e3e69b5b2eda78657d","KzdEGEWcWQkLb5RSsAMiopdKgcSTBP1bzp2Fdr9kERjryNxcGWxZ"],
["m/44'/0'/0'/0/4","139KkfwHytbBEQVW1GBCqJsJXud9P1dsHm","027bd4373aa42fdee6e064f7f8363cef796017ac79b27c72028dd349b50d36c3b9","L1SVV5jGhKbX4aZ5bejZVCXS51zK6b4TUGRneUewSjQ6ZHUQSoKt"]
]
self.assertEqual(bip44, test_data)
if __name__ == '__main__':
unittest.main() | 125.141667 | 3,162 | 0.841069 | 2,447 | 45,051 | 15.426236 | 0.186351 | 0.005404 | 0.004212 | 0.003841 | 0.656061 | 0.626099 | 0.614576 | 0.60986 | 0.609516 | 0.604774 | 0 | 0.309022 | 0.060176 | 45,051 | 360 | 3,163 | 125.141667 | 0.582522 | 0.033296 | 0 | 0.298611 | 0 | 0.020833 | 0.768055 | 0.649946 | 0 | 1 | 0 | 0 | 0.229167 | 1 | 0.041667 | false | 0 | 0.048611 | 0 | 0.09375 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
af4e1e6c2c5f7efdf7cfb285c14b0fa08aa8f3f1 | 369,469 | py | Python | tests/test_readarr.py | ctalkington/aiopyarr | ee4d6890373dec9f31f71461a76189c846bb239c | [
"MIT"
] | 10 | 2021-11-30T14:23:21.000Z | 2022-03-04T13:18:32.000Z | tests/test_readarr.py | ctalkington/aiopyarr | ee4d6890373dec9f31f71461a76189c846bb239c | [
"MIT"
] | 13 | 2021-11-30T13:38:39.000Z | 2022-03-04T05:56:07.000Z | tests/test_readarr.py | ctalkington/aiopyarr | ee4d6890373dec9f31f71461a76189c846bb239c | [
"MIT"
] | 2 | 2021-11-30T14:22:55.000Z | 2022-02-02T00:38:25.000Z | """Tests for Readarr object models."""
# pylint:disable=line-too-long, too-many-lines, too-many-statements
from datetime import datetime
import json
import pytest
from aiopyarr.const import ATTR_DATA
from aiopyarr.exceptions import ArrException
from aiopyarr.models.base import BaseModel
from aiopyarr.models.const import ProtocolType
from aiopyarr.models.readarr import (
ReadarrAuthor,
ReadarrAuthorEditor,
ReadarrBook,
ReadarrBookFile,
ReadarrBookFileEditor,
ReadarrBookHistory,
ReadarrBookshelf,
ReadarrCommands,
ReadarrDevelopmentConfig,
ReadarrEventType,
ReadarrImportList,
ReadarrManualImport,
ReadarrMetadataProfile,
ReadarrMetadataProvider,
ReadarrNamingConfig,
ReadarrNotification,
ReadarrRelease,
ReadarrSortKeys,
ReadarrWantedCutoff,
)
from aiopyarr.models.readarr_common import (
_ReadarrAuthorValueBooks,
_ReadarrAuthorValueSeries,
_ReadarrEditions,
_ReadarrEditionsValueBookFiles,
_ReadarrSeriesLinks,
)
from aiopyarr.models.request import (
AddTypes,
Command,
ImageType,
MonitoringOptionsType,
RootFolder,
SortDirection,
StatusType,
)
from aiopyarr.readarr_client import ReadarrClient
from . import READARR_API, load_fixture
@pytest.mark.asyncio
async def test_async_get_authors(aresponses, readarr_client: ReadarrClient) -> None:
"""Test getting author info."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/author/0",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/author.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_authors(authorid=0)
assert isinstance(data.id, int)
assert isinstance(data.authorMetadataId, int)
assert data.status == "string"
assert data.ended is True
assert data.authorName == "string"
assert data.authorNameLastFirst == "string"
assert data.foreignAuthorId == "string"
assert isinstance(data.titleSlug, int)
assert data.overview == "string"
assert data.links[0].url == "string"
assert data.links[0].name == "string"
assert isinstance(data.nextBook.id, int)
assert isinstance(data.nextBook.authorMetadataId, int)
assert data.nextBook.foreignBookId == "string"
assert isinstance(data.nextBook.titleSlug, int)
assert data.nextBook.title == "string"
assert data.nextBook.releaseDate == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert data.nextBook.links[0].url == "string"
assert data.nextBook.links[0].name == "string"
assert data.nextBook.genres[0] == "string"
assert isinstance(data.nextBook.ratings.votes, int)
assert isinstance(data.nextBook.ratings.value, float)
assert isinstance(data.nextBook.ratings.popularity, int)
assert data.nextBook.cleanTitle == "string"
assert data.nextBook.monitored is True
assert data.nextBook.anyEditionOk is True
assert data.nextBook.lastInfoSync == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert data.nextBook.added == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert data.nextBook.addOptions.addType == AddTypes.AUTOMATIC.value
assert data.nextBook.addOptions.searchForNewBook is True
_value = data.nextBook.authorMetadata.value
assert isinstance(_value.id, int)
assert _value.foreignAuthorId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.name == "string"
assert _value.sortName == "string"
assert _value.nameLastFirst == "string"
assert _value.sortNameLastFirst == "string"
assert _value.aliases[0] == "string"
assert _value.overview == "string"
assert _value.disambiguation == "string"
assert _value.gender == "string"
assert _value.hometown == "string"
assert _value.born == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.died == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.status == "string"
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert _value.genres[0] == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert data.nextBook.authorMetadata.isLoaded is True
_value = data.nextBook.author.value
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.cleanName == "string"
assert _value.monitored is True
assert _value.lastInfoSync == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.path == "string"
assert _value.rootFolderPath == "string"
assert _value.added == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.disambiguation == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.metadata.value.died == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.images[0].extension == "string"
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert isinstance(_value.metadata.value.ratings.popularity, int)
assert _value.metadata.isLoaded is True
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.disambiguation == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.metadata.value.died == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.images[0].extension == "string"
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert isinstance(_value.metadata.value.ratings.popularity, int)
assert _value.metadata.isLoaded is True
assert isinstance(_value.qualityProfile.value.id, int)
assert _value.qualityProfile.value.name == "string"
assert _value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.qualityProfile.value.cutoff, int)
item = _value.qualityProfile.value.items[0]
assert isinstance(item.id, int)
assert item.name == "string"
assert isinstance(item.quality.id, int)
assert item.quality.name == "string"
assert item.items[0] is None
assert item.allowed is True
assert _value.qualityProfile.isLoaded is True
assert isinstance(_value.metadataProfile.value.id, int)
assert _value.metadataProfile.value.name == "string"
assert isinstance(_value.metadataProfile.value.minPopularity, int)
assert _value.metadataProfile.value.skipMissingDate is True
assert _value.metadataProfile.value.skipMissingIsbn is True
assert _value.metadataProfile.value.skipPartsAndSets is True
assert _value.metadataProfile.value.skipSeriesSecondary is True
assert _value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.metadataProfile.value.minPages, int)
assert _value.metadataProfile.value.ignored == "string"
assert _value.metadataProfile.isLoaded is True
assert _value.books.value[0] is None
assert _value.books.isLoaded is True
assert isinstance(_value.series.value[0].id, int)
assert _value.series.value[0].foreignSeriesId == "string"
assert _value.series.value[0].title == "string"
assert _value.series.value[0].description == "string"
assert _value.series.value[0].numbered is True
assert isinstance(_value.series.value[0].workCount, int)
assert isinstance(_value.series.value[0].primaryWorkCount, int)
assert _value.series.value[0].books.value == [None]
assert _value.series.value[0].books.isLoaded is True
assert _value.series.value[0].foreignAuthorId == "string"
assert _value.name == "string"
assert _value.foreignAuthorId == "string"
assert data.nextBook.author.isLoaded is True
_value = data.nextBook.editions.value[0]
assert isinstance(_value.id, int)
assert isinstance(_value.bookId, int)
assert _value.foreignEditionId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.isbn13 == "string"
assert _value.asin == "string"
assert _value.title == "string"
assert _value.language == "string"
assert _value.overview == "string"
assert _value.format == "string"
assert _value.isEbook is True
assert _value.disambiguation == "string"
assert _value.publisher == "string"
assert isinstance(_value.pageCount, int)
assert _value.releaseDate == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert _value.monitored is True
assert _value.manualAdd is True
assert _value.book.isLoaded is True
_value = _value.bookFiles.value[0]
assert isinstance(_value.id, int)
assert _value.path == "string"
assert isinstance(_value.size, int)
assert _value.modified == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.dateAdded == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.sceneName == "string"
assert _value.releaseGroup == "string"
assert isinstance(_value.quality.quality.id, int)
assert _value.quality.quality.name == "string"
assert isinstance(_value.quality.revision.version, int)
assert isinstance(_value.quality.revision.real, int)
assert _value.quality.revision.isRepack is True
assert _value.mediaInfo.audioFormat == "string"
assert isinstance(_value.mediaInfo.audioBitrate, int)
assert isinstance(_value.mediaInfo.audioChannels, float)
assert isinstance(_value.mediaInfo.audioBits, int)
assert _value.mediaInfo.audioSampleRate == "string"
assert isinstance(_value.editionId, int)
assert isinstance(_value.calibreId, int)
assert isinstance(_value.part, int)
assert isinstance(_value.author.value.id, int)
assert isinstance(_value.author.value.authorMetadataId, int)
assert _value.author.value.cleanName == "string"
assert _value.author.value.monitored is True
assert _value.author.value.lastInfoSync == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.author.value.path == "string"
assert _value.author.value.rootFolderPath == "string"
assert _value.author.value.added == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert isinstance(_value.author.value.qualityProfileId, int)
assert isinstance(_value.author.value.metadataProfileId, int)
assert isinstance(_value.author.value.tags[0], int)
assert _value.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.author.value.addOptions.booksToMonitor[0] == "string"
assert _value.author.value.addOptions.monitored is True
assert _value.author.value.addOptions.searchForMissingBooks is True
_valu = _value.author.value.metadata.value
assert isinstance(_valu.id, int)
assert _valu.foreignAuthorId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.name == "string"
assert _valu.sortName == "string"
assert _valu.nameLastFirst == "string"
assert _valu.sortNameLastFirst == "string"
assert _valu.aliases[0] == "string"
assert _valu.overview == "string"
assert _valu.disambiguation == "string"
assert _valu.gender == "string"
assert _valu.hometown == "string"
assert _valu.born == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _valu.died == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _valu.status == "string"
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert _valu.genres[0] == "string"
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, int)
_valu = _value.author.value
assert _valu.metadata.isLoaded is True
assert isinstance(_valu.qualityProfile.value.id, int)
assert _valu.qualityProfile.value.name == "string"
assert _valu.qualityProfile.value.upgradeAllowed is True
assert isinstance(_valu.qualityProfile.value.cutoff, int)
assert isinstance(_valu.qualityProfile.value.items[0].id, int)
assert _valu.qualityProfile.value.items[0].name == "string"
assert isinstance(_valu.qualityProfile.value.items[0].quality.id, int)
assert _valu.qualityProfile.value.items[0].quality.name == "string"
assert _valu.qualityProfile.value.items[0].items == [None]
assert _valu.qualityProfile.value.items[0].allowed is True
assert isinstance(_valu.metadataProfile.value.id, int)
assert _valu.metadataProfile.value.name == "string"
assert isinstance(_valu.metadataProfile.value.minPopularity, int)
assert _valu.metadataProfile.value.skipMissingDate is True
assert _valu.metadataProfile.value.skipMissingIsbn is True
assert _valu.metadataProfile.value.skipPartsAndSets is True
assert _valu.metadataProfile.value.skipSeriesSecondary is True
assert _valu.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_valu.metadataProfile.value.minPages, int)
assert _valu.metadataProfile.value.ignored == "string"
assert _valu.metadataProfile.isLoaded is True
assert _valu.books.value[0] is None
assert _valu.books.isLoaded is True
assert isinstance(_valu.series.value[0].id, int)
assert _valu.series.value[0].foreignSeriesId == "string"
assert _valu.series.value[0].title == "string"
assert _valu.series.value[0].description == "string"
assert _valu.series.value[0].numbered is True
assert isinstance(_valu.series.value[0].workCount, int)
assert isinstance(_valu.series.value[0].primaryWorkCount, int)
assert _valu.series.value[0].books.value[0] is None
assert _valu.series.value[0].books.isLoaded is True
assert _valu.series.value[0].foreignAuthorId == "string"
assert _valu.series.value[0].title == "string"
assert _valu.series.value[0].description == "string"
assert _valu.series.value[0].numbered is True
assert isinstance(_valu.series.value[0].workCount, int)
assert isinstance(_valu.series.value[0].primaryWorkCount, int)
assert _valu.series.value[0].books.value[0] is None
assert _valu.series.value[0].books.isLoaded is True
assert _valu.series.value[0].foreignAuthorId == "string"
assert _valu.series.isLoaded is True
assert _valu.name == "string"
assert _valu.foreignAuthorId == "string"
assert _value.author.isLoaded is True
assert _value.edition.isLoaded is True
assert isinstance(_value.partCount, int)
assert data.nextBook.editions.isLoaded is True
_value = data.nextBook.bookFiles.value[0]
assert isinstance(_value.id, int)
assert _value.path == "string"
assert isinstance(_value.size, int)
assert _value.modified == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.dateAdded == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.sceneName == "string"
assert _value.releaseGroup == "string"
assert isinstance(_value.quality.quality.id, int)
assert _value.quality.quality.name == "string"
assert isinstance(_value.quality.revision.version, int)
assert _value.quality.revision.isRepack is True
assert _value.mediaInfo.audioFormat == "string"
assert _value.mediaInfo.audioBitrate == "string"
assert isinstance(_value.mediaInfo.audioChannels, float)
assert isinstance(_value.mediaInfo.audioBits, int)
assert _value.mediaInfo.audioSampleRate == "string"
assert isinstance(_value.editionId, int)
assert isinstance(_value.calibreId, int)
assert isinstance(_value.part, int)
_value = _value.author.value
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.cleanName == "string"
assert _value.monitored is True
assert _value.lastInfoSync == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.path == "string"
assert _value.rootFolderPath == "string"
assert _value.added == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.disambiguation == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.metadata.value.died == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.images[0].extension == "string"
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert isinstance(_value.metadata.value.ratings.popularity, int)
assert _value.metadata.isLoaded is True
assert isinstance(_value.qualityProfile.value.id, int)
assert _value.qualityProfile.value.name == "string"
assert _value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.qualityProfile.value.cutoff, int)
assert isinstance(_value.qualityProfile.value.items[0].id, int)
assert _value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.qualityProfile.value.items[0].quality.id, int)
assert _value.qualityProfile.value.items[0].quality.name == "string"
assert _value.qualityProfile.value.items[0].items[0] is None
assert _value.qualityProfile.value.items[0].allowed is True
assert isinstance(_value.metadataProfile.value.id, int)
assert _value.metadataProfile.value.name == "string"
assert isinstance(_value.metadataProfile.value.minPopularity, int)
assert _value.metadataProfile.value.skipMissingDate is True
assert _value.metadataProfile.value.skipMissingIsbn is True
assert _value.metadataProfile.value.skipPartsAndSets is True
assert _value.metadataProfile.value.skipSeriesSecondary is True
assert _value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.metadataProfile.value.minPages, int)
assert _value.metadataProfile.value.ignored == "string"
assert _value.metadataProfile.isLoaded is True
assert _value.books.value[0] is None
assert _value.books.isLoaded is True
assert isinstance(_value.series.value[0].id, int)
assert _value.series.value[0].foreignSeriesId == "string"
assert _value.series.value[0].title == "string"
assert _value.series.value[0].description == "string"
assert _value.series.value[0].numbered is True
assert isinstance(_value.series.value[0].workCount, int)
assert isinstance(_value.series.value[0].primaryWorkCount, int)
assert _value.series.value[0].books.value[0] is None
assert _value.series.value[0].books.isLoaded is True
assert _value.series.value[0].foreignAuthorId == "string"
assert _value.series.isLoaded is True
assert _value.name == "string"
assert _value.foreignAuthorId == "string"
_valu = data.nextBook
assert _valu.bookFiles.value[0].author.isLoaded is True
assert _valu.bookFiles.value[0].edition.isLoaded is True
assert isinstance(_valu.bookFiles.value[0].partCount, int)
assert _valu.bookFiles.isLoaded is True
_val = _valu.seriesLinks
assert isinstance(_val.value[0].id, int)
assert _val.value[0].position == "string"
assert isinstance(_val.value[0].seriesId, int)
assert isinstance(_val.value[0].bookId, int)
assert _val.value[0].isPrimary is True
assert isinstance(_val.value[0].series.value.id, int)
assert _val.value[0].series.value.foreignSeriesId == "string"
assert _val.value[0].series.value.title == "string"
assert _val.value[0].series.value.description == "string"
assert _val.value[0].series.value.numbered is True
assert isinstance(_val.value[0].series.value.workCount, int)
assert isinstance(_val.value[0].series.value.primaryWorkCount, int)
assert _val.value[0].series.value.books.value[0] is None
assert _val.value[0].series.value.books.isLoaded is True
assert _val.value[0].series.value.foreignAuthorId == "string"
assert _val.value[0].series.isLoaded is True
assert _val.value[0].book.isLoaded is True
assert _val.isLoaded is True
assert isinstance(data.lastBook.id, int)
assert isinstance(data.lastBook.authorMetadataId, int)
assert data.lastBook.foreignBookId == "string"
assert isinstance(data.lastBook.titleSlug, int)
assert data.lastBook.title == "string"
assert data.lastBook.releaseDate == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert data.lastBook.links[0].url == "string"
assert data.lastBook.links[0].name == "string"
assert data.lastBook.genres[0] == "string"
assert isinstance(data.lastBook.ratings.votes, int)
assert isinstance(data.lastBook.ratings.value, float)
assert isinstance(data.lastBook.ratings.popularity, int)
assert data.lastBook.cleanTitle == "string"
assert data.lastBook.monitored is True
assert data.lastBook.anyEditionOk is True
assert data.lastBook.lastInfoSync == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert data.lastBook.added == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert data.lastBook.addOptions.addType == AddTypes.AUTOMATIC.value
assert data.lastBook.addOptions.searchForNewBook is True
_value = data.lastBook.authorMetadata.value
assert isinstance(_value.id, int)
assert _value.foreignAuthorId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.name == "string"
assert _value.sortName == "string"
assert _value.nameLastFirst == "string"
assert _value.sortNameLastFirst == "string"
assert _value.aliases[0] == "string"
assert _value.overview == "string"
assert _value.disambiguation == "string"
assert _value.gender == "string"
assert _value.hometown == "string"
assert _value.born == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.died == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.status == "string"
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert _value.genres[0] == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert data.lastBook.authorMetadata.isLoaded is True
_value = data.lastBook.author.value
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.cleanName == "string"
assert _value.monitored is True
assert _value.lastInfoSync == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.path == "string"
assert _value.rootFolderPath == "string"
assert _value.added == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.disambiguation == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.metadata.value.died == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.images[0].extension == "string"
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert isinstance(_value.metadata.value.ratings.popularity, int)
assert _value.metadata.isLoaded is True
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.disambiguation == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.metadata.value.died == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.images[0].extension == "string"
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert isinstance(_value.metadata.value.ratings.popularity, int)
assert _value.metadata.isLoaded is True
_value = _value.qualityProfile.value
assert isinstance(_value.id, int)
assert _value.name == "string"
assert _value.upgradeAllowed is True
assert isinstance(_value.cutoff, int)
assert isinstance(_value.items[0].id, int)
assert _value.items[0].name == "string"
assert isinstance(_value.items[0].quality.id, int)
assert _value.items[0].quality.name == "string"
assert _value.items[0].items[0] is None
assert _value.items[0].allowed is True
_valu = data.lastBook.author.value
assert _valu.qualityProfile.isLoaded is True
_val = _valu.metadataProfile
assert isinstance(_val.value.id, int)
assert _val.value.name == "string"
assert isinstance(_val.value.minPopularity, int)
assert _val.value.skipMissingDate is True
assert _val.value.skipMissingIsbn is True
assert _val.value.skipPartsAndSets is True
assert _val.value.skipSeriesSecondary is True
assert _val.value.allowedLanguages == "string"
assert isinstance(_val.value.minPages, int)
assert _val.value.ignored == "string"
assert _val.isLoaded is True
assert _valu.books.value[0] is None
assert _valu.books.isLoaded is True
assert isinstance(_valu.series.value[0].id, int)
assert _valu.series.value[0].foreignSeriesId == "string"
assert _valu.series.value[0].title == "string"
assert _valu.series.value[0].description == "string"
assert _valu.series.value[0].numbered is True
assert isinstance(_valu.series.value[0].workCount, int)
assert isinstance(_valu.series.value[0].primaryWorkCount, int)
assert _valu.series.value[0].books.value == [None]
assert _valu.series.value[0].books.isLoaded is True
assert _valu.series.value[0].foreignAuthorId == "string"
assert _valu.name == "string"
assert _valu.foreignAuthorId == "string"
assert data.lastBook.author.isLoaded is True
_value = data.lastBook.editions.value[0]
assert isinstance(_value.id, int)
assert isinstance(_value.bookId, int)
assert _value.foreignEditionId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.isbn13 == "string"
assert _value.asin == "string"
assert _value.title == "string"
assert _value.language == "string"
assert _value.overview == "string"
assert _value.format == "string"
assert _value.isEbook is True
assert _value.disambiguation == "string"
assert _value.publisher == "string"
assert isinstance(_value.pageCount, int)
assert _value.releaseDate == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert _value.monitored is True
assert _value.manualAdd is True
assert _value.book.isLoaded is True
_value = _value.bookFiles.value[0]
assert isinstance(_value.id, int)
assert _value.path == "string"
assert isinstance(_value.size, int)
assert _value.modified == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.dateAdded == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.sceneName == "string"
assert _value.releaseGroup == "string"
assert isinstance(_value.quality.quality.id, int)
assert _value.quality.quality.name == "string"
assert isinstance(_value.quality.revision.version, int)
assert isinstance(_value.quality.revision.real, int)
assert _value.quality.revision.isRepack is True
assert _value.mediaInfo.audioFormat == "string"
assert isinstance(_value.mediaInfo.audioBitrate, int)
assert isinstance(_value.mediaInfo.audioChannels, float)
assert isinstance(_value.mediaInfo.audioBits, int)
assert _value.mediaInfo.audioSampleRate == "string"
assert isinstance(_value.editionId, int)
assert isinstance(_value.calibreId, int)
assert isinstance(_value.part, int)
assert isinstance(_value.author.value.id, int)
assert isinstance(_value.author.value.authorMetadataId, int)
assert _value.author.value.cleanName == "string"
assert _value.author.value.monitored is True
assert _value.author.value.lastInfoSync == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.author.value.path == "string"
assert _value.author.value.rootFolderPath == "string"
assert _value.author.value.added == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert isinstance(_value.author.value.qualityProfileId, int)
assert isinstance(_value.author.value.metadataProfileId, int)
assert isinstance(_value.author.value.tags[0], int)
assert _value.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.author.value.addOptions.booksToMonitor[0] == "string"
assert _value.author.value.addOptions.monitored is True
assert _value.author.value.addOptions.searchForMissingBooks is True
_valu = _value.author.value.metadata.value
assert isinstance(_valu.id, int)
assert _valu.foreignAuthorId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.name == "string"
assert _valu.sortName == "string"
assert _valu.nameLastFirst == "string"
assert _valu.sortNameLastFirst == "string"
assert _valu.aliases[0] == "string"
assert _valu.overview == "string"
assert _valu.disambiguation == "string"
assert _valu.gender == "string"
assert _valu.hometown == "string"
assert _valu.born == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _valu.died == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _valu.status == "string"
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert _valu.genres[0] == "string"
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, int)
assert _value.author.value.metadata.isLoaded is True
assert isinstance(_value.author.value.qualityProfile.value.id, int)
assert _value.author.value.qualityProfile.value.name == "string"
assert _value.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_value.author.value.qualityProfile.value.items[0].id, int)
assert _value.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.author.value.qualityProfile.value.items[0].quality.id, int)
assert _value.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _value.author.value.qualityProfile.value.items[0].items == [None]
assert _value.author.value.qualityProfile.value.items[0].allowed is True
assert isinstance(_value.author.value.metadataProfile.value.id, int)
assert _value.author.value.metadataProfile.value.name == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPopularity, int)
assert _value.author.value.metadataProfile.value.skipMissingDate is True
assert _value.author.value.metadataProfile.value.skipMissingIsbn is True
assert _value.author.value.metadataProfile.value.skipPartsAndSets is True
assert _value.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _value.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPages, int)
assert _value.author.value.metadataProfile.value.ignored == "string"
assert _value.author.value.metadataProfile.isLoaded is True
assert _value.author.value.books.value[0] is None
assert _value.author.value.books.isLoaded is True
assert isinstance(_value.author.value.series.value[0].id, int)
assert _value.author.value.series.value[0].foreignSeriesId == "string"
assert _value.author.value.series.value[0].title == "string"
assert _value.author.value.series.value[0].description == "string"
assert _value.author.value.series.value[0].numbered is True
assert isinstance(_value.author.value.series.value[0].workCount, int)
assert isinstance(_value.author.value.series.value[0].primaryWorkCount, int)
assert _value.author.value.series.value[0].books.value[0] is None
assert _value.author.value.series.value[0].books.isLoaded is True
assert _value.author.value.series.value[0].foreignAuthorId == "string"
assert _value.author.value.series.value[0].title == "string"
assert _value.author.value.series.value[0].description == "string"
assert _value.author.value.series.value[0].numbered is True
assert isinstance(_value.author.value.series.value[0].workCount, int)
assert isinstance(_value.author.value.series.value[0].primaryWorkCount, int)
assert _value.author.value.series.value[0].books.value[0] is None
assert _value.author.value.series.value[0].books.isLoaded is True
assert _value.author.value.series.value[0].foreignAuthorId == "string"
assert _value.author.value.series.isLoaded is True
assert _value.author.value.name == "string"
assert _value.author.value.foreignAuthorId == "string"
assert _value.author.isLoaded is True
assert _value.edition.isLoaded is True
assert isinstance(_value.partCount, int)
assert data.lastBook.editions.isLoaded is True
_value = data.lastBook.bookFiles.value[0]
assert isinstance(_value.id, int)
assert _value.path == "string"
assert isinstance(_value.size, int)
assert _value.modified == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.dateAdded == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.sceneName == "string"
assert _value.releaseGroup == "string"
assert isinstance(_value.quality.quality.id, int)
assert _value.quality.quality.name == "string"
assert isinstance(_value.quality.revision.version, int)
assert _value.quality.revision.isRepack is True
assert _value.mediaInfo.audioFormat == "string"
assert isinstance(_value.mediaInfo.audioBitrate, int)
assert isinstance(_value.mediaInfo.audioChannels, float)
assert isinstance(_value.mediaInfo.audioBits, int)
assert _value.mediaInfo.audioSampleRate == "string"
assert isinstance(_value.editionId, int)
assert isinstance(_value.calibreId, int)
assert isinstance(_value.part, int)
assert isinstance(_value.author.value.id, int)
assert isinstance(_value.author.value.authorMetadataId, int)
assert _value.author.value.cleanName == "string"
assert _value.author.value.monitored is True
assert _value.author.value.lastInfoSync == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _value.author.value.path == "string"
assert _value.author.value.rootFolderPath == "string"
assert _value.author.value.added == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert isinstance(_value.author.value.qualityProfileId, int)
assert isinstance(_value.author.value.metadataProfileId, int)
assert isinstance(_value.author.value.tags[0], int)
assert _value.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.author.value.addOptions.booksToMonitor[0] == "string"
assert _value.author.value.addOptions.monitored is True
_valu = _value.author.value.metadata.value
assert isinstance(_valu.id, int)
assert _valu.foreignAuthorId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.name == "string"
assert _valu.sortName == "string"
assert _valu.nameLastFirst == "string"
assert _valu.sortNameLastFirst == "string"
assert _valu.aliases[0] == "string"
assert _valu.overview == "string"
assert _valu.disambiguation == "string"
assert _valu.gender == "string"
assert _valu.hometown == "string"
assert _valu.born == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _valu.died == datetime(2021, 12, 6, 22, 12, 47, 67000)
assert _valu.status == "string"
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert _valu.genres[0] == "string"
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, int)
assert _value.author.value.metadata.isLoaded is True
assert isinstance(_value.author.value.qualityProfile.value.id, int)
assert _value.author.value.qualityProfile.value.name == "string"
assert _value.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_value.author.value.qualityProfile.value.items[0].id, int)
assert _value.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.author.value.qualityProfile.value.items[0].quality.id, int)
assert _value.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _value.author.value.qualityProfile.value.items[0].items[0] is None
assert _value.author.value.qualityProfile.value.items[0].allowed is True
assert isinstance(_value.author.value.metadataProfile.value.id, int)
assert _value.author.value.metadataProfile.value.name == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPopularity, int)
assert _value.author.value.metadataProfile.value.skipMissingDate is True
assert _value.author.value.metadataProfile.value.skipMissingIsbn is True
assert _value.author.value.metadataProfile.value.skipPartsAndSets is True
assert _value.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _value.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPages, int)
assert _value.author.value.metadataProfile.value.ignored == "string"
assert _value.author.value.metadataProfile.isLoaded is True
assert _value.author.value.books.value[0] is None
assert _value.author.value.books.isLoaded is True
assert isinstance(_value.author.value.series.value[0].id, int)
assert _value.author.value.series.value[0].foreignSeriesId == "string"
assert _value.author.value.series.value[0].title == "string"
assert _value.author.value.series.value[0].description == "string"
assert _value.author.value.series.value[0].numbered is True
assert isinstance(_value.author.value.series.value[0].workCount, int)
assert isinstance(_value.author.value.series.value[0].primaryWorkCount, int)
assert _value.author.value.series.value[0].books.value[0] is None
assert _value.author.value.series.value[0].books.isLoaded is True
assert _value.author.value.series.value[0].foreignAuthorId == "string"
assert _value.author.value.series.isLoaded is True
assert _value.author.value.name == "string"
assert _value.author.value.foreignAuthorId == "string"
assert _value.author.isLoaded is True
assert _value.edition.isLoaded is True
assert isinstance(_value.partCount, int)
assert data.lastBook.bookFiles.isLoaded is True
_valu = data.lastBook.seriesLinks
assert isinstance(_valu.value[0].id, int)
assert _valu.value[0].position == "string"
assert isinstance(_valu.value[0].seriesId, int)
assert isinstance(_valu.value[0].bookId, int)
assert _valu.value[0].isPrimary is True
assert isinstance(_valu.value[0].series.value.id, int)
assert _valu.value[0].series.value.foreignSeriesId == "string"
assert _valu.value[0].series.value.title == "string"
assert _valu.value[0].series.value.description == "string"
assert _valu.value[0].series.value.numbered is True
assert isinstance(_valu.value[0].series.value.workCount, int)
assert isinstance(_valu.value[0].series.value.primaryWorkCount, int)
assert _valu.value[0].series.value.books.value[0] is None
assert _valu.value[0].series.value.books.isLoaded is True
assert _valu.value[0].series.value.foreignAuthorId == "string"
assert _valu.value[0].series.isLoaded is True
assert _valu.value[0].book.isLoaded is True
assert _valu.isLoaded is True
assert data.images[0].url == "string"
assert data.images[0].coverType == ImageType.POSTER.value
assert data.images[0].extension == "string"
assert data.remotePoster == "string"
assert data.path == "string"
assert isinstance(data.qualityProfileId, int)
assert isinstance(data.metadataProfileId, int)
assert data.monitored is True
assert data.rootFolderPath == "string"
assert data.genres[0] == "string"
assert data.cleanName == "string"
assert data.sortName == "string"
assert data.sortNameLastFirst == "string"
assert isinstance(data.tags[0], int)
assert data.added == datetime(2021, 12, 6, 22, 12, 47, 68000)
assert data.addOptions.monitor == MonitoringOptionsType.ALL.value
assert data.addOptions.booksToMonitor[0] == "string"
assert data.addOptions.monitored is True
assert data.addOptions.searchForMissingBooks is True
assert isinstance(data.ratings.votes, int)
assert isinstance(data.ratings.value, float)
assert isinstance(data.ratings.popularity, int)
assert isinstance(data.statistics.bookFileCount, int)
assert isinstance(data.statistics.bookCount, int)
assert isinstance(data.statistics.availableBookCount, int)
assert isinstance(data.statistics.totalBookCount, int)
assert isinstance(data.statistics.sizeOnDisk, int)
assert isinstance(data.statistics.percentOfBooks, float)
@pytest.mark.asyncio
async def test_async_author_lookup(aresponses, readarr_client: ReadarrClient) -> None:
"""Test getting author lookup info."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/author/lookup?term=string",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/author-lookup.json"),
),
match_querystring=True,
)
data = await readarr_client.async_author_lookup(term="string")
assert isinstance(data[0].authorMetadataId, int)
assert data[0].status == "string"
assert data[0].ended is False
assert data[0].authorName == "string"
assert data[0].authorNameLastFirst == "string"
assert data[0].foreignAuthorId == "string"
assert isinstance(data[0].titleSlug, int)
assert data[0].overview == "string"
assert data[0].links[0].url == "string"
assert data[0].links[0].name == "string"
assert data[0].images[0].url == "string"
assert data[0].images[0].coverType == ImageType.POSTER.value
assert data[0].images[0].extension == ".jpg"
assert data[0].remotePoster == "string"
assert data[0].path == "string"
assert isinstance(data[0].qualityProfileId, int)
assert isinstance(data[0].metadataProfileId, int)
assert data[0].monitored is True
assert data[0].monitorNewItems == "string"
assert data[0].genres == ["string"]
assert data[0].cleanName == "string"
assert data[0].sortName == "string"
assert data[0].sortNameLastFirst == "string"
assert isinstance(data[0].tags[0], int)
assert data[0].added == datetime(2021, 12, 6, 22, 23, 55)
assert isinstance(data[0].ratings.votes, int)
assert isinstance(data[0].ratings.value, float)
assert isinstance(data[0].ratings.popularity, float)
assert isinstance(data[0].statistics.bookFileCount, int)
assert isinstance(data[0].statistics.bookCount, int)
assert isinstance(data[0].statistics.availableBookCount, int)
assert isinstance(data[0].statistics.totalBookCount, int)
assert isinstance(data[0].statistics.sizeOnDisk, int)
assert isinstance(data[0].statistics.percentOfBooks, float)
assert isinstance(data[0].id, int)
@pytest.mark.asyncio
async def test_async_get_blocklist(aresponses, readarr_client: ReadarrClient) -> None:
"""Test getting blocklist info."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/blocklist?page=1&pageSize=20&sortDirection=default&sortKey=books.releaseDate",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/blocklist.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_blocklist()
assert isinstance(data.page, int)
assert isinstance(data.pageSize, int)
assert data.sortKey == ReadarrSortKeys.DATE.value
assert data.sortDirection == SortDirection.DEFAULT.value
assert data.filters[0].key == "string"
assert data.filters[0].value == "string"
assert isinstance(data.totalRecords, int)
assert isinstance(data.records[0].id, int)
assert isinstance(data.records[0].authorId, int)
assert isinstance(data.records[0].bookIds[0], int)
assert data.records[0].sourceTitle == "string"
assert isinstance(data.records[0].quality.quality.id, int)
assert data.records[0].quality.quality.name == "string"
assert isinstance(data.records[0].quality.revision.version, int)
assert isinstance(data.records[0].quality.revision.real, int)
assert data.records[0].quality.revision.isRepack is True
assert data.records[0].date == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert data.records[0].protocol is ProtocolType.UNKNOWN
assert data.records[0].indexer == "string"
assert data.records[0].message == "string"
_author = data.records[0].author
assert isinstance(_author.id, int)
assert isinstance(_author.authorMetadataId, int)
assert _author.status == "string"
assert _author.ended is True
assert _author.authorName == "string"
assert _author.authorNameLastFirst == "string"
assert _author.foreignAuthorId == "string"
assert isinstance(_author.titleSlug, int)
assert _author.overview == "string"
assert _author.links[0].url == "string"
assert _author.links[0].name == "string"
assert isinstance(_author.nextBook.id, int)
assert isinstance(_author.nextBook.authorMetadataId, int)
assert _author.nextBook.foreignBookId == "string"
assert isinstance(_author.nextBook.titleSlug, int)
assert _author.nextBook.title == "string"
assert _author.nextBook.releaseDate == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _author.nextBook.links[0].url == "string"
assert _author.nextBook.links[0].name == "string"
assert _author.nextBook.genres[0] == "string"
assert isinstance(_author.nextBook.ratings.votes, int)
assert isinstance(_author.nextBook.ratings.value, float)
assert isinstance(_author.nextBook.ratings.popularity, int)
assert _author.nextBook.cleanTitle == "string"
assert _author.nextBook.monitored is True
assert _author.nextBook.anyEditionOk is True
assert _author.nextBook.lastInfoSync == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _author.nextBook.added == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _author.nextBook.addOptions.addType == AddTypes.AUTOMATIC.value
assert _author.nextBook.addOptions.searchForNewBook is True
_value = _author.nextBook.authorMetadata.value
assert isinstance(_value.id, int)
assert _value.foreignAuthorId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.name == "string"
assert _value.sortName == "string"
assert _value.nameLastFirst == "string"
assert _value.sortNameLastFirst == "string"
assert _value.aliases[0] == "string"
assert _value.overview == "string"
assert _value.gender == "string"
assert _value.hometown == "string"
assert _value.born == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _value.died == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _value.status == "string"
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert _value.genres[0] == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert data.records[0].author.nextBook.authorMetadata.isLoaded is True
_value = data.records[0].author.nextBook.author.value
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.cleanName == "string"
assert _value.monitored is True
assert _value.lastInfoSync == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _value.path == "string"
assert _value.rootFolderPath == "string"
assert _value.added == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _value.metadata.value.died == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.images[0].extension == "string"
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert isinstance(_value.metadata.value.ratings.popularity, int)
assert _value.metadata.isLoaded is True
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _value.metadata.value.died == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.images[0].extension == "string"
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert isinstance(_value.metadata.value.ratings.popularity, int)
assert _value.metadata.isLoaded is True
assert isinstance(_value.qualityProfile.value.id, int)
assert _value.qualityProfile.value.name == "string"
assert _value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.qualityProfile.value.cutoff, int)
assert isinstance(_value.qualityProfile.value.items[0].id, int)
assert _value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.qualityProfile.value.items[0].quality.id, int)
assert _value.qualityProfile.value.items[0].quality.name == "string"
assert _value.qualityProfile.value.items[0].items[0] is None
assert _value.qualityProfile.value.items[0].allowed is True
assert _value.qualityProfile.isLoaded is True
assert isinstance(_value.metadataProfile.value.id, int)
assert _value.metadataProfile.value.name == "string"
assert isinstance(_value.metadataProfile.value.minPopularity, int)
assert _value.metadataProfile.value.skipMissingDate is True
assert _value.metadataProfile.value.skipMissingIsbn is True
assert _value.metadataProfile.value.skipPartsAndSets is True
assert _value.metadataProfile.value.skipSeriesSecondary is True
assert _value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.metadataProfile.value.minPages, int)
assert _value.metadataProfile.value.ignored == "string"
assert _value.metadataProfile.isLoaded is True
assert _value.books.value[0] is None
assert _value.books.isLoaded is True
assert isinstance(_value.series.value[0].id, int)
assert _value.series.value[0].foreignSeriesId == "string"
assert _value.series.value[0].title == "string"
assert _value.series.value[0].description == "string"
assert _value.series.value[0].numbered is True
assert isinstance(_value.series.value[0].workCount, int)
assert isinstance(_value.series.value[0].primaryWorkCount, int)
assert _value.series.value[0].books.value == [None]
assert _value.series.value[0].books.isLoaded is True
assert _value.series.value[0].foreignAuthorId == "string"
assert _value.name == "string"
assert _value.foreignAuthorId == "string"
assert data.records[0].author.nextBook.author.isLoaded is True
_value = data.records[0].author.nextBook.editions.value[0]
assert isinstance(_value.id, int)
assert isinstance(_value.bookId, int)
assert _value.foreignEditionId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.isbn13 == "string"
assert _value.asin == "string"
assert _value.title == "string"
assert _value.language == "string"
assert _value.overview == "string"
assert _value.format == "string"
assert _value.isEbook is True
assert _value.publisher == "string"
assert isinstance(_value.pageCount, int)
assert _value.releaseDate == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert _value.monitored is True
assert _value.manualAdd is True
assert _value.book.isLoaded is True
_val = _value.bookFiles.value[0]
assert isinstance(_val.id, int)
assert _val.path == "string"
assert isinstance(_val.size, int)
assert _val.modified == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _val.dateAdded == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _val.sceneName == "string"
assert _val.releaseGroup == "string"
assert isinstance(_val.quality.quality.id, int)
assert _val.quality.quality.name == "string"
assert isinstance(_val.quality.revision.version, int)
assert isinstance(_val.quality.revision.real, int)
assert _val.quality.revision.isRepack is True
assert _val.mediaInfo.audioFormat == "string"
assert isinstance(_val.mediaInfo.audioBitrate, int)
assert isinstance(_val.mediaInfo.audioChannels, float)
assert isinstance(_val.mediaInfo.audioBits, int)
assert _val.mediaInfo.audioSampleRate == "string"
assert isinstance(_val.editionId, int)
assert isinstance(_val.calibreId, int)
assert isinstance(_val.part, int)
assert isinstance(_val.author.value.id, int)
assert isinstance(_val.author.value.authorMetadataId, int)
assert _val.author.value.cleanName == "string"
assert _val.author.value.monitored is True
assert _val.author.value.lastInfoSync == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _val.author.value.path == "string"
assert _val.author.value.rootFolderPath == "string"
assert _val.author.value.added == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert isinstance(_val.author.value.qualityProfileId, int)
assert isinstance(_val.author.value.metadataProfileId, int)
assert isinstance(_val.author.value.tags[0], int)
assert _val.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _val.author.value.addOptions.booksToMonitor[0] == "string"
assert _val.author.value.addOptions.monitored is True
assert _val.author.value.addOptions.searchForMissingBooks is True
_val = _value.bookFiles.value[0]
_valu = _val.author.value.metadata.value
assert isinstance(_valu.id, int)
assert _valu.foreignAuthorId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.name == "string"
assert _valu.sortName == "string"
assert _valu.nameLastFirst == "string"
assert _valu.sortNameLastFirst == "string"
assert _valu.aliases[0] == "string"
assert _valu.overview == "string"
assert _valu.gender == "string"
assert _valu.hometown == "string"
assert _valu.born == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _valu.died == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert _valu.status == "string"
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert _valu.genres[0] == "string"
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, int)
assert _val.author.value.metadata.isLoaded is True
assert isinstance(_val.author.value.qualityProfile.value.id, int)
assert _val.author.value.qualityProfile.value.name == "string"
assert _val.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_val.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_val.author.value.qualityProfile.value.items[0].id, int)
assert _val.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_val.author.value.qualityProfile.value.items[0].quality.id, int)
assert _val.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _val.author.value.qualityProfile.value.items[0].items == [None]
assert _val.author.value.qualityProfile.value.items[0].allowed is True
assert isinstance(_val.author.value.metadataProfile.value.id, int)
assert _val.author.value.metadataProfile.value.name == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPopularity, int)
assert _val.author.value.metadataProfile.value.skipMissingDate is True
assert _val.author.value.metadataProfile.value.skipMissingIsbn is True
assert _val.author.value.metadataProfile.value.skipPartsAndSets is True
assert _val.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _val.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPages, int)
assert _val.author.value.metadataProfile.value.ignored == "string"
assert _val.author.value.metadataProfile.isLoaded is True
assert _val.author.value.books.value[0] is None
assert _val.author.value.books.isLoaded is True
assert isinstance(_val.author.value.series.value[0].id, int)
assert _val.author.value.series.value[0].foreignSeriesId == "string"
assert _val.author.value.series.value[0].title == "string"
assert _val.author.value.series.value[0].description == "string"
assert _val.author.value.series.value[0].numbered is True
assert isinstance(_val.author.value.series.value[0].workCount, int)
assert isinstance(_val.author.value.series.value[0].primaryWorkCount, int)
assert _val.author.value.series.value[0].books.value[0] is None
assert _val.author.value.series.value[0].books.isLoaded is True
assert _val.author.value.series.value[0].foreignAuthorId == "string"
assert _val.author.value.series.value[0].title == "string"
assert _val.author.value.series.value[0].description == "string"
assert _val.author.value.series.value[0].numbered is True
assert isinstance(_val.author.value.series.value[0].workCount, int)
assert isinstance(_val.author.value.series.value[0].primaryWorkCount, int)
assert _val.author.value.series.value[0].books.value[0] is None
assert _val.author.value.series.value[0].books.isLoaded is True
assert _val.author.value.series.value[0].foreignAuthorId == "string"
assert _val.author.value.series.isLoaded is True
assert _val.author.value.name == "string"
assert _val.author.value.foreignAuthorId == "string"
assert _val.author.isLoaded is True
assert _val.edition.isLoaded is True
assert isinstance(_val.partCount, int)
assert data.records[0].author.nextBook.editions.isLoaded is True
_value = data.records[0].author.nextBook.bookFiles.value[0]
assert isinstance(_value.id, int)
assert _value.path == "string"
assert isinstance(_value.size, int)
assert _value.modified == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.dateAdded == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.sceneName == "string"
assert _value.releaseGroup == "string"
assert isinstance(_value.quality.quality.id, int)
assert _value.quality.quality.name == "string"
assert isinstance(_value.quality.revision.version, int)
assert _value.quality.revision.isRepack is True
assert _value.mediaInfo.audioFormat == "string"
assert isinstance(_value.mediaInfo.audioBitrate, int)
assert isinstance(_value.mediaInfo.audioChannels, float)
assert isinstance(_value.mediaInfo.audioBits, int)
assert _value.mediaInfo.audioSampleRate == "string"
assert isinstance(_value.editionId, int)
assert isinstance(_value.calibreId, int)
assert isinstance(_value.part, int)
assert isinstance(_value.author.value.id, int)
assert isinstance(_value.author.value.authorMetadataId, int)
assert _value.author.value.cleanName == "string"
assert _value.author.value.monitored is True
assert _value.author.value.lastInfoSync == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.author.value.path == "string"
assert _value.author.value.rootFolderPath == "string"
assert _value.author.value.added == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert isinstance(_value.author.value.qualityProfileId, int)
assert isinstance(_value.author.value.metadataProfileId, int)
assert isinstance(_value.author.value.tags[0], int)
assert _value.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.author.value.addOptions.booksToMonitor[0] == "string"
assert _value.author.value.addOptions.monitored is True
_valu = _value.author.value.metadata.value
assert isinstance(_valu.id, int)
assert _valu.foreignAuthorId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.name == "string"
assert _valu.sortName == "string"
assert _valu.nameLastFirst == "string"
assert _valu.sortNameLastFirst == "string"
assert _valu.aliases[0] == "string"
assert _valu.overview == "string"
assert _valu.gender == "string"
assert _valu.hometown == "string"
assert _valu.born == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _valu.died == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _valu.status == "string"
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert _valu.genres[0] == "string"
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, int)
assert _value.author.value.metadata.isLoaded is True
assert isinstance(_value.author.value.qualityProfile.value.id, int)
assert _value.author.value.qualityProfile.value.name == "string"
assert _value.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_value.author.value.qualityProfile.value.items[0].id, int)
assert _value.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.author.value.qualityProfile.value.items[0].quality.id, int)
assert _value.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _value.author.value.qualityProfile.value.items[0].items[0] is None
assert _value.author.value.qualityProfile.value.items[0].allowed is True
assert isinstance(_value.author.value.metadataProfile.value.id, int)
assert _value.author.value.metadataProfile.value.name == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPopularity, int)
assert _value.author.value.metadataProfile.value.skipMissingDate is True
assert _value.author.value.metadataProfile.value.skipMissingIsbn is True
assert _value.author.value.metadataProfile.value.skipPartsAndSets is True
assert _value.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _value.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPages, int)
assert _value.author.value.metadataProfile.value.ignored == "string"
assert _value.author.value.metadataProfile.isLoaded is True
assert _value.author.value.books.value[0] is None
assert _value.author.value.books.isLoaded is True
assert isinstance(_value.author.value.series.value[0].id, int)
assert _value.author.value.series.value[0].foreignSeriesId == "string"
assert _value.author.value.series.value[0].title == "string"
assert _value.author.value.series.value[0].description == "string"
assert _value.author.value.series.value[0].numbered is True
assert isinstance(_value.author.value.series.value[0].workCount, int)
assert isinstance(_value.author.value.series.value[0].primaryWorkCount, int)
assert _value.author.value.series.value[0].books.value[0] is None
assert _value.author.value.series.value[0].books.isLoaded is True
assert _value.author.value.series.value[0].foreignAuthorId == "string"
assert _value.author.value.series.isLoaded is True
assert _value.author.value.name == "string"
assert _value.author.value.foreignAuthorId == "string"
assert _value.author.isLoaded is True
assert _value.edition.isLoaded is True
assert isinstance(_value.partCount, int)
assert data.records[0].author.nextBook.bookFiles.isLoaded is True
_value = data.records[0].author.nextBook.seriesLinks.value[0]
assert isinstance(_value.id, int)
assert _value.position == "string"
assert isinstance(_value.seriesId, int)
assert isinstance(_value.bookId, int)
assert _value.isPrimary is True
assert isinstance(_value.series.value.id, int)
assert _value.series.value.foreignSeriesId == "string"
assert _value.series.value.title == "string"
assert _value.series.value.description == "string"
assert _value.series.value.numbered is True
assert isinstance(_value.series.value.workCount, int)
assert isinstance(_value.series.value.primaryWorkCount, int)
assert _value.series.value.books.value[0] is None
assert _value.series.value.books.isLoaded is True
assert _value.series.value.foreignAuthorId == "string"
assert _value.series.isLoaded is True
assert _value.book.isLoaded is True
assert data.records[0].author.nextBook.seriesLinks.isLoaded is True
_value = data.records[0].author.lastBook
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.foreignBookId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.title == "string"
assert _value.releaseDate == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert _value.genres[0] == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert _value.cleanTitle == "string"
assert _value.monitored is True
assert _value.anyEditionOk is True
assert _value.lastInfoSync == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.added == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.addOptions.addType == AddTypes.AUTOMATIC.value
assert _value.addOptions.searchForNewBook is True
_value = _value.authorMetadata.value
assert isinstance(_value.id, int)
assert _value.foreignAuthorId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.name == "string"
assert _value.sortName == "string"
assert _value.nameLastFirst == "string"
assert _value.sortNameLastFirst == "string"
assert _value.aliases[0] == "string"
assert _value.overview == "string"
assert _value.gender == "string"
assert _value.hometown == "string"
assert _value.born == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.died == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.status == "string"
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert _value.genres[0] == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert data.records[0].author.lastBook.authorMetadata.isLoaded is True
_value = data.records[0].author.lastBook.author.value
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.cleanName == "string"
assert _value.monitored is True
assert _value.lastInfoSync == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.path == "string"
assert _value.rootFolderPath == "string"
assert _value.added == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.metadata.value.died == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.images[0].extension == "string"
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert isinstance(_value.metadata.value.ratings.popularity, int)
assert _value.metadata.isLoaded is True
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.metadata.value.died == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.images[0].extension == "string"
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert isinstance(_value.metadata.value.ratings.popularity, int)
assert _value.metadata.isLoaded is True
assert isinstance(_value.qualityProfile.value.id, int)
assert _value.qualityProfile.value.name == "string"
assert _value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.qualityProfile.value.cutoff, int)
assert isinstance(_value.qualityProfile.value.items[0].id, int)
assert _value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.qualityProfile.value.items[0].quality.id, int)
assert _value.qualityProfile.value.items[0].quality.name == "string"
assert _value.qualityProfile.value.items[0].items[0] is None
assert _value.qualityProfile.value.items[0].allowed is True
assert _value.qualityProfile.isLoaded is True
assert isinstance(_value.metadataProfile.value.id, int)
assert _value.metadataProfile.value.name == "string"
assert isinstance(_value.metadataProfile.value.minPopularity, int)
assert _value.metadataProfile.value.skipMissingDate is True
assert _value.metadataProfile.value.skipMissingIsbn is True
assert _value.metadataProfile.value.skipPartsAndSets is True
assert _value.metadataProfile.value.skipSeriesSecondary is True
assert _value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.metadataProfile.value.minPages, int)
assert _value.metadataProfile.value.ignored == "string"
assert _value.metadataProfile.isLoaded is True
assert _value.books.value[0] is None
assert _value.books.isLoaded is True
assert isinstance(_value.series.value[0].id, int)
assert _value.series.value[0].foreignSeriesId == "string"
assert _value.series.value[0].title == "string"
assert _value.series.value[0].description == "string"
assert _value.series.value[0].numbered is True
assert isinstance(_value.series.value[0].workCount, int)
assert isinstance(_value.series.value[0].primaryWorkCount, int)
assert _value.series.value[0].books.value == [None]
assert _value.series.value[0].books.isLoaded is True
assert _value.series.value[0].foreignAuthorId == "string"
assert _value.name == "string"
assert _value.foreignAuthorId == "string"
assert data.records[0].author.lastBook.author.isLoaded is True
_value = data.records[0].author.lastBook.editions.value[0]
assert isinstance(_value.id, int)
assert isinstance(_value.bookId, int)
assert _value.foreignEditionId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.isbn13 == "string"
assert _value.asin == "string"
assert _value.title == "string"
assert _value.language == "string"
assert _value.overview == "string"
assert _value.format == "string"
assert _value.isEbook is True
assert _value.publisher == "string"
assert isinstance(_value.pageCount, int)
assert _value.releaseDate == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert _value.monitored is True
assert _value.manualAdd is True
assert _value.book.isLoaded is True
_val = _value.bookFiles.value[0]
assert isinstance(_val.id, int)
assert _val.path == "string"
assert isinstance(_val.size, int)
assert _val.modified == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _val.dateAdded == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _val.sceneName == "string"
assert _val.releaseGroup == "string"
assert isinstance(_val.quality.quality.id, int)
assert _val.quality.quality.name == "string"
assert isinstance(_val.quality.revision.version, int)
assert isinstance(_val.quality.revision.real, int)
assert _val.quality.revision.isRepack is True
assert _val.mediaInfo.audioFormat == "string"
assert isinstance(_val.mediaInfo.audioBitrate, int)
assert isinstance(_val.mediaInfo.audioChannels, float)
assert isinstance(_val.mediaInfo.audioBits, int)
assert _val.mediaInfo.audioSampleRate == "string"
assert isinstance(_val.editionId, int)
assert isinstance(_val.calibreId, int)
assert isinstance(_val.part, int)
assert isinstance(_val.author.value.id, int)
assert isinstance(_val.author.value.authorMetadataId, int)
assert _val.author.value.cleanName == "string"
assert _val.author.value.monitored is True
assert _val.author.value.lastInfoSync == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _val.author.value.path == "string"
assert _val.author.value.rootFolderPath == "string"
assert _val.author.value.added == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert isinstance(_val.author.value.qualityProfileId, int)
assert isinstance(_val.author.value.metadataProfileId, int)
assert isinstance(_val.author.value.tags[0], int)
assert _val.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _val.author.value.addOptions.booksToMonitor[0] == "string"
assert _val.author.value.addOptions.monitored is True
assert _val.author.value.addOptions.searchForMissingBooks is True
_valu = _val.author.value.metadata.value
assert isinstance(_valu.id, int)
assert _valu.foreignAuthorId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.name == "string"
assert _valu.sortName == "string"
assert _valu.nameLastFirst == "string"
assert _valu.sortNameLastFirst == "string"
assert _valu.aliases[0] == "string"
assert _valu.overview == "string"
assert _valu.gender == "string"
assert _valu.hometown == "string"
assert _valu.born == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _valu.died == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _valu.status == "string"
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert _valu.genres[0] == "string"
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, int)
assert _val.author.value.metadata.isLoaded is True
assert isinstance(_val.author.value.qualityProfile.value.id, int)
assert _val.author.value.qualityProfile.value.name == "string"
assert _val.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_val.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_val.author.value.qualityProfile.value.items[0].id, int)
assert _val.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_val.author.value.qualityProfile.value.items[0].quality.id, int)
assert _val.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _val.author.value.qualityProfile.value.items[0].items == [None]
assert _val.author.value.qualityProfile.value.items[0].allowed is True
assert isinstance(_val.author.value.metadataProfile.value.id, int)
assert _val.author.value.metadataProfile.value.name == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPopularity, int)
assert _val.author.value.metadataProfile.value.skipMissingDate is True
assert _val.author.value.metadataProfile.value.skipMissingIsbn is True
assert _val.author.value.metadataProfile.value.skipPartsAndSets is True
assert _val.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _val.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPages, int)
assert _val.author.value.metadataProfile.value.ignored == "string"
assert _val.author.value.metadataProfile.isLoaded is True
assert _val.author.value.books.value[0] is None
assert _val.author.value.books.isLoaded is True
assert isinstance(_val.author.value.series.value[0].id, int)
assert _val.author.value.series.value[0].foreignSeriesId == "string"
assert _val.author.value.series.value[0].title == "string"
assert _val.author.value.series.value[0].description == "string"
assert _val.author.value.series.value[0].numbered is True
assert isinstance(_val.author.value.series.value[0].workCount, int)
assert isinstance(_val.author.value.series.value[0].primaryWorkCount, int)
assert _val.author.value.series.value[0].books.value[0] is None
assert _val.author.value.series.value[0].books.isLoaded is True
assert _val.author.value.series.value[0].foreignAuthorId == "string"
assert _val.author.value.series.value[0].title == "string"
assert _val.author.value.series.value[0].description == "string"
assert _val.author.value.series.value[0].numbered is True
assert isinstance(_val.author.value.series.value[0].workCount, int)
assert isinstance(_val.author.value.series.value[0].primaryWorkCount, int)
assert _val.author.value.series.value[0].books.value[0] is None
assert _val.author.value.series.value[0].books.isLoaded is True
assert _val.author.value.series.value[0].foreignAuthorId == "string"
assert _val.author.value.series.isLoaded is True
assert _val.author.value.name == "string"
assert _val.author.value.foreignAuthorId == "string"
assert _val.author.isLoaded is True
assert _val.edition.isLoaded is True
assert isinstance(_val.partCount, int)
assert data.records[0].author.lastBook.editions.isLoaded is True
_value = data.records[0].author.lastBook.bookFiles.value[0]
assert isinstance(_value.id, int)
assert _value.path == "string"
assert isinstance(_value.size, int)
assert _value.modified == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.dateAdded == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.sceneName == "string"
assert _value.releaseGroup == "string"
assert isinstance(_value.quality.quality.id, int)
assert _value.quality.quality.name == "string"
assert isinstance(_value.quality.revision.version, int)
assert _value.quality.revision.isRepack is True
assert _value.mediaInfo.audioFormat == "string"
assert isinstance(_value.mediaInfo.audioBitrate, int)
assert isinstance(_value.mediaInfo.audioChannels, float)
assert isinstance(_value.mediaInfo.audioBits, int)
assert _value.mediaInfo.audioSampleRate == "string"
assert isinstance(_value.editionId, int)
assert isinstance(_value.calibreId, int)
assert isinstance(_value.part, int)
assert isinstance(_value.author.value.id, int)
assert isinstance(_value.author.value.authorMetadataId, int)
assert _value.author.value.cleanName == "string"
assert _value.author.value.monitored is True
assert _value.author.value.lastInfoSync == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _value.author.value.path == "string"
assert _value.author.value.rootFolderPath == "string"
assert _value.author.value.added == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert isinstance(_value.author.value.qualityProfileId, int)
assert isinstance(_value.author.value.metadataProfileId, int)
assert isinstance(_value.author.value.tags[0], int)
assert _value.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.author.value.addOptions.booksToMonitor[0] == "string"
assert _value.author.value.addOptions.monitored is True
_valu = _value.author.value.metadata.value
assert isinstance(_valu.id, int)
assert _valu.foreignAuthorId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.name == "string"
assert _valu.sortName == "string"
assert _valu.nameLastFirst == "string"
assert _valu.sortNameLastFirst == "string"
assert _valu.aliases[0] == "string"
assert _valu.overview == "string"
assert _valu.gender == "string"
assert _valu.hometown == "string"
assert _valu.born == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _valu.died == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert _valu.status == "string"
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert _valu.genres[0] == "string"
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, int)
assert _value.author.value.metadata.isLoaded is True
assert isinstance(_value.author.value.qualityProfile.value.id, int)
assert _value.author.value.qualityProfile.value.name == "string"
assert _value.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_value.author.value.qualityProfile.value.items[0].id, int)
assert _value.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.author.value.qualityProfile.value.items[0].quality.id, int)
assert _value.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _value.author.value.qualityProfile.value.items[0].items[0] is None
assert _value.author.value.qualityProfile.value.items[0].allowed is True
assert isinstance(_value.author.value.metadataProfile.value.id, int)
assert _value.author.value.metadataProfile.value.name == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPopularity, int)
assert _value.author.value.metadataProfile.value.skipMissingDate is True
assert _value.author.value.metadataProfile.value.skipMissingIsbn is True
assert _value.author.value.metadataProfile.value.skipPartsAndSets is True
assert _value.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _value.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPages, int)
assert _value.author.value.metadataProfile.value.ignored == "string"
assert _value.author.value.metadataProfile.isLoaded is True
assert _value.author.value.books.value[0] is None
assert _value.author.value.books.isLoaded is True
assert isinstance(_value.author.value.series.value[0].id, int)
assert _value.author.value.series.value[0].foreignSeriesId == "string"
assert _value.author.value.series.value[0].title == "string"
assert _value.author.value.series.value[0].description == "string"
assert _value.author.value.series.value[0].numbered is True
assert isinstance(_value.author.value.series.value[0].workCount, int)
assert isinstance(_value.author.value.series.value[0].primaryWorkCount, int)
assert _value.author.value.series.value[0].books.value[0] is None
assert _value.author.value.series.value[0].books.isLoaded is True
assert _value.author.value.series.value[0].foreignAuthorId == "string"
assert _value.author.value.series.isLoaded is True
assert _value.author.value.name == "string"
assert _value.author.value.foreignAuthorId == "string"
assert _value.author.isLoaded is True
assert _value.edition.isLoaded is True
assert isinstance(_value.partCount, int)
assert data.records[0].author.lastBook.bookFiles.isLoaded is True
_value = data.records[0].author.lastBook.seriesLinks.value[0]
assert isinstance(_value.id, int)
assert _value.position == "string"
assert isinstance(_value.seriesId, int)
assert isinstance(_value.bookId, int)
assert _value.isPrimary is True
assert isinstance(_value.series.value.id, int)
assert _value.series.value.foreignSeriesId == "string"
assert _value.series.value.title == "string"
assert _value.series.value.description == "string"
assert _value.series.value.numbered is True
assert isinstance(_value.series.value.workCount, int)
assert isinstance(_value.series.value.primaryWorkCount, int)
assert _value.series.value.books.value[0] is None
assert _value.series.value.books.isLoaded is True
assert _value.series.value.foreignAuthorId == "string"
assert _value.series.isLoaded is True
assert _value.book.isLoaded is True
assert data.records[0].author.lastBook.seriesLinks.isLoaded is True
assert data.records[0].author.images[0].url == "string"
assert data.records[0].author.images[0].coverType == ImageType.POSTER.value
assert data.records[0].author.images[0].extension == "string"
assert data.records[0].author.remotePoster == "string"
assert data.records[0].author.path == "string"
assert isinstance(data.records[0].author.qualityProfileId, int)
assert isinstance(data.records[0].author.metadataProfileId, int)
assert data.records[0].author.monitored is True
assert data.records[0].author.rootFolderPath == "string"
assert data.records[0].author.genres[0] == "string"
assert data.records[0].author.cleanName == "string"
assert data.records[0].author.sortName == "string"
assert data.records[0].author.sortNameLastFirst == "string"
assert isinstance(data.records[0].author.tags[0], int)
assert data.records[0].author.added == datetime(2021, 12, 7, 8, 55, 41, 227000)
assert data.records[0].author.addOptions.monitor == MonitoringOptionsType.ALL.value
assert data.records[0].author.addOptions.booksToMonitor[0] == "string"
assert data.records[0].author.addOptions.monitored is True
assert data.records[0].author.addOptions.searchForMissingBooks is True
assert isinstance(data.records[0].author.ratings.votes, int)
assert isinstance(data.records[0].author.ratings.value, float)
assert isinstance(data.records[0].author.ratings.popularity, int)
assert isinstance(data.records[0].author.statistics.bookFileCount, int)
assert isinstance(data.records[0].author.statistics.bookCount, int)
assert isinstance(data.records[0].author.statistics.availableBookCount, int)
assert isinstance(data.records[0].author.statistics.totalBookCount, int)
assert isinstance(data.records[0].author.statistics.sizeOnDisk, int)
assert isinstance(data.records[0].author.statistics.percentOfBooks, float)
@pytest.mark.asyncio
async def test_async_get_book(aresponses, readarr_client: ReadarrClient) -> None:
"""Test getting book info."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/book/0",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/book.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_book(bookid=0)
assert isinstance(data[0].id, int)
assert data[0].title == "string"
assert data[0].authorTitle == "string"
assert data[0].seriesTitle == "string"
assert data[0].disambiguation == "string"
assert data[0].overview == "string"
assert isinstance(data[0].authorId, int)
assert data[0].foreignBookId == "string"
assert isinstance(data[0].titleSlug, int)
assert data[0].monitored is True
assert data[0].anyEditionOk is True
assert isinstance(data[0].ratings.votes, int)
assert isinstance(data[0].ratings.value, float)
assert isinstance(data[0].ratings.popularity, int)
assert data[0].releaseDate == datetime(2021, 12, 7, 9, 7, 35, 508000)
assert isinstance(data[0].pageCount, int)
assert data[0].genres[0] == "string"
assert isinstance(data[0].author.id, int)
assert isinstance(data[0].author.authorMetadataId, int)
assert data[0].author.status == "string"
assert data[0].author.ended is True
assert data[0].author.authorName == "string"
assert data[0].author.authorNameLastFirst == "string"
assert data[0].author.foreignAuthorId == "string"
assert isinstance(data[0].author.titleSlug, int)
assert data[0].author.overview == "string"
assert data[0].author.disambiguation == "string"
assert data[0].author.links[0].url == "string"
assert data[0].author.links[0].name == "string"
_book = data[0].author.nextBook
assert isinstance(_book.id, int)
assert isinstance(_book.authorMetadataId, int)
assert _book.foreignBookId == "string"
assert isinstance(_book.titleSlug, int)
assert _book.title == "string"
assert _book.releaseDate == datetime(2021, 12, 7, 9, 7, 35, 508000)
assert _book.links[0].url == "string"
assert _book.links[0].name == "string"
assert _book.genres[0] == "string"
assert isinstance(_book.ratings.votes, int)
assert isinstance(_book.ratings.value, float)
assert isinstance(_book.ratings.popularity, int)
assert _book.cleanTitle == "string"
assert _book.monitored is True
assert _book.anyEditionOk is True
assert _book.lastInfoSync == datetime(2021, 12, 7, 9, 7, 35, 508000)
assert _book.added == datetime(2021, 12, 7, 9, 7, 35, 508000)
assert _book.addOptions.addType == AddTypes.AUTOMATIC.value
assert _book.addOptions.searchForNewBook is True
_value = _book.authorMetadata.value
assert isinstance(_value.id, int)
assert _value.foreignAuthorId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.name == "string"
assert _value.sortName == "string"
assert _value.nameLastFirst == "string"
assert _value.sortNameLastFirst == "string"
assert _value.aliases[0] == "string"
assert _value.overview == "string"
assert _value.disambiguation == "string"
assert _value.gender == "string"
assert _value.hometown == "string"
assert _value.born == datetime(2021, 12, 7, 9, 7, 35, 508000)
assert _value.died == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _value.status == "string"
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert _value.genres[0] == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert data[0].author.nextBook.authorMetadata.isLoaded is True
_value = data[0].author.nextBook.author.value
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.cleanName == "string"
assert _value.monitored is True
assert _value.lastInfoSync == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _value.path == "string"
assert _value.rootFolderPath == "string"
assert _value.added == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.disambiguation == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _value.metadata.value.died == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.images[0].extension == "string"
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert isinstance(_value.metadata.value.ratings.popularity, int)
assert _value.metadata.isLoaded is True
assert isinstance(_value.qualityProfile.value.id, int)
assert _value.qualityProfile.value.name == "string"
assert _value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.qualityProfile.value.cutoff, int)
assert isinstance(_value.qualityProfile.value.items[0].id, int)
assert _value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.qualityProfile.value.items[0].quality.id, int)
assert _value.qualityProfile.value.items[0].quality.name == "string"
assert _value.qualityProfile.value.items[0].items[0] is None
assert _value.qualityProfile.value.items[0].allowed is True
assert _value.qualityProfile.isLoaded is True
assert isinstance(_value.metadataProfile.value.id, int)
assert _value.metadataProfile.value.name == "string"
assert isinstance(_value.metadataProfile.value.minPopularity, int)
assert _value.metadataProfile.value.skipMissingDate is True
assert _value.metadataProfile.value.skipMissingIsbn is True
assert _value.metadataProfile.value.skipPartsAndSets is True
assert _value.metadataProfile.value.skipSeriesSecondary is True
assert _value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.metadataProfile.value.minPages, int)
assert _value.metadataProfile.value.ignored == "string"
assert _value.metadataProfile.isLoaded is True
assert _value.books.value[0] is None
assert _value.books.isLoaded is True
assert isinstance(_value.series.value[0].id, int)
assert _value.series.value[0].foreignSeriesId == "string"
assert _value.series.value[0].title == "string"
assert _value.series.value[0].description == "string"
assert _value.series.value[0].numbered is True
assert isinstance(_value.series.value[0].workCount, int)
assert isinstance(_value.series.value[0].primaryWorkCount, int)
assert _value.series.value[0].books.value[0] is None
assert _value.series.value[0].books.isLoaded is True
assert _value.series.value[0].foreignAuthorId == "string"
assert _value.series.isLoaded is True
assert _value.name == "string"
assert _value.foreignAuthorId == "string"
assert data[0].author.nextBook.author.isLoaded is True
_value = data[0].author.nextBook.editions.value[0]
assert isinstance(_value.id, int)
assert isinstance(_value.bookId, int)
assert _value.foreignEditionId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.isbn13 == "string"
assert _value.asin == "string"
assert _value.title == "string"
assert _value.language == "string"
assert _value.overview == "string"
assert _value.format == "string"
assert _value.isEbook is True
assert _value.disambiguation == "string"
assert _value.publisher == "string"
assert isinstance(_value.pageCount, int)
assert _value.releaseDate == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert _value.monitored is True
assert _value.manualAdd is True
assert _value.book.isLoaded is True
_valu = _value.bookFiles.value[0]
assert isinstance(_valu.id, int)
assert _valu.path == "string"
assert isinstance(_valu.size, int)
assert _valu.modified == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _valu.dateAdded == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _valu.sceneName == "string"
assert _valu.releaseGroup == "string"
assert isinstance(_valu.quality.quality.id, int)
assert _valu.quality.quality.name == "string"
assert isinstance(_valu.quality.revision.version, int)
assert isinstance(_valu.quality.revision.real, int)
assert _valu.quality.revision.isRepack is True
assert _valu.mediaInfo.audioFormat == "string"
assert isinstance(_valu.mediaInfo.audioBitrate, int)
assert isinstance(_valu.mediaInfo.audioChannels, float)
assert isinstance(_valu.mediaInfo.audioBits, int)
assert _valu.mediaInfo.audioSampleRate == "string"
assert isinstance(_valu.editionId, int)
assert isinstance(_valu.calibreId, int)
assert isinstance(_valu.part, int)
_val = _valu.author.value
assert isinstance(_val.id, int)
assert isinstance(_val.authorMetadataId, int)
assert _val.cleanName == "string"
assert _val.monitored is True
assert _val.lastInfoSync == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _val.path == "string"
assert _val.rootFolderPath == "string"
assert _val.added == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert isinstance(_val.qualityProfileId, int)
assert isinstance(_val.metadataProfileId, int)
assert isinstance(_val.tags[0], int)
assert _val.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _val.addOptions.booksToMonitor[0] == "string"
assert _val.addOptions.monitored is True
assert _val.addOptions.searchForMissingBooks is True
assert isinstance(_val.metadata.value.id, int)
assert _val.metadata.value.foreignAuthorId == "string"
assert isinstance(_val.metadata.value.titleSlug, int)
assert _val.metadata.value.name == "string"
assert _val.metadata.value.sortName == "string"
assert _val.metadata.value.nameLastFirst == "string"
assert _val.metadata.value.sortNameLastFirst == "string"
assert _val.metadata.value.aliases[0] == "string"
assert _val.metadata.value.overview == "string"
assert _val.metadata.value.disambiguation == "string"
assert _val.metadata.value.gender == "string"
assert _val.metadata.value.hometown == "string"
assert _val.metadata.value.born == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _val.metadata.value.died == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _val.metadata.value.status == "string"
assert _val.metadata.value.images[0].url == "string"
assert _val.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _val.metadata.value.images[0].extension == "string"
assert _val.metadata.value.links[0].url == "string"
assert _val.metadata.value.links[0].name == "string"
assert _val.metadata.value.genres[0] == "string"
assert isinstance(_val.metadata.value.ratings.votes, int)
assert isinstance(_val.metadata.value.ratings.value, float)
assert isinstance(_val.metadata.value.ratings.popularity, int)
assert _val.metadata.isLoaded is True
assert isinstance(_val.qualityProfile.value.id, int)
assert _val.qualityProfile.value.name == "string"
assert _val.qualityProfile.value.upgradeAllowed is True
assert isinstance(_val.qualityProfile.value.cutoff, int)
assert isinstance(_val.qualityProfile.value.items[0].id, int)
assert _val.qualityProfile.value.items[0].name == "string"
assert _val.qualityProfile.value.items[0].name == "string"
assert isinstance(_val.qualityProfile.value.items[0].quality.id, int)
assert _val.qualityProfile.value.items[0].quality.name == "string"
assert _val.qualityProfile.value.items[0].items[0] is None
assert _val.qualityProfile.value.items[0].allowed is True
assert _val.qualityProfile.isLoaded is True
assert isinstance(_val.metadataProfile.value.id, int)
assert _val.metadataProfile.value.name == "string"
assert isinstance(_val.metadataProfile.value.minPopularity, int)
assert _val.metadataProfile.value.skipMissingDate is True
assert _val.metadataProfile.value.skipMissingIsbn is True
assert _val.metadataProfile.value.skipPartsAndSets is True
assert _val.metadataProfile.value.skipSeriesSecondary is True
assert _val.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_val.metadataProfile.value.minPages, int)
assert _val.metadataProfile.value.ignored == "string"
assert _val.metadataProfile.isLoaded is True
assert _val.books.value[0] is None
assert _val.books.isLoaded is True
assert isinstance(_val.series.value[0].id, int)
assert _val.series.value[0].foreignSeriesId == "string"
assert _val.series.value[0].title == "string"
assert _val.series.value[0].description == "string"
assert _val.series.value[0].numbered is True
assert isinstance(_val.series.value[0].workCount, int)
assert isinstance(_val.series.value[0].primaryWorkCount, int)
assert _val.series.value[0].books.value[0] is None
assert _val.series.value[0].books.isLoaded is True
assert _val.series.value[0].foreignAuthorId == "string"
assert _val.series.isLoaded is True
assert _val.name == "string"
assert _val.foreignAuthorId == "string"
assert _value.bookFiles.value[0].author.isLoaded is True
assert _value.bookFiles.value[0].edition.isLoaded is True
assert isinstance(_value.bookFiles.value[0].partCount, int)
assert _value.bookFiles.isLoaded is True
value = data[0].author.nextBook
assert isinstance(value.seriesLinks.value[0].id, int)
assert value.seriesLinks.value[0].position == "string"
assert isinstance(value.seriesLinks.value[0].seriesId, int)
assert isinstance(value.seriesLinks.value[0].bookId, int)
assert value.seriesLinks.value[0].isPrimary is True
assert isinstance(value.seriesLinks.value[0].series.value.id, int)
assert value.seriesLinks.value[0].series.value.foreignSeriesId == "string"
assert value.seriesLinks.value[0].series.value.title == "string"
assert value.seriesLinks.value[0].series.value.description == "string"
assert value.seriesLinks.value[0].series.value.numbered is True
assert isinstance(value.seriesLinks.value[0].series.value.workCount, int)
assert isinstance(value.seriesLinks.value[0].series.value.primaryWorkCount, int)
assert value.seriesLinks.value[0].series.value.books.value[0] is None
assert value.seriesLinks.value[0].series.value.books.isLoaded is True
assert value.seriesLinks.value[0].series.value.foreignAuthorId == "string"
assert value.seriesLinks.value[0].series.isLoaded is True
assert value.seriesLinks.value[0].book.isLoaded is True
assert value.seriesLinks.isLoaded is True
_book = data[0].author.lastBook
assert isinstance(_book.id, int)
assert isinstance(_book.authorMetadataId, int)
assert _book.foreignBookId == "string"
assert isinstance(_book.titleSlug, int)
assert _book.title == "string"
assert _book.releaseDate == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _book.links[0].url == "string"
assert _book.links[0].name == "string"
assert _book.genres[0] == "string"
assert isinstance(_book.ratings.votes, int)
assert isinstance(_book.ratings.value, float)
assert isinstance(_book.ratings.popularity, int)
assert _book.cleanTitle == "string"
assert _book.monitored is True
assert _book.anyEditionOk is True
assert _book.lastInfoSync == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _book.added == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _book.addOptions.addType == AddTypes.AUTOMATIC.value
assert _book.addOptions.searchForNewBook is True
_value = _book.authorMetadata.value
assert isinstance(_value.id, int)
assert _value.foreignAuthorId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.name == "string"
assert _value.sortName == "string"
assert _value.nameLastFirst == "string"
assert _value.sortNameLastFirst == "string"
assert _value.aliases[0] == "string"
assert _value.overview == "string"
assert _value.disambiguation == "string"
assert _value.gender == "string"
assert _value.hometown == "string"
assert _value.born == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _value.died == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _value.status == "string"
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert _value.genres[0] == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert data[0].author.lastBook.authorMetadata.isLoaded is True
_value = data[0].author.lastBook.author.value
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.cleanName == "string"
assert _value.monitored is True
assert _value.lastInfoSync == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _value.path == "string"
assert _value.rootFolderPath == "string"
assert _value.added == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.disambiguation == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _value.metadata.value.died == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.images[0].extension == "string"
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert isinstance(_value.metadata.value.ratings.popularity, int)
assert _value.metadata.isLoaded is True
assert isinstance(_value.qualityProfile.value.id, int)
assert _value.qualityProfile.value.name == "string"
assert _value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.qualityProfile.value.cutoff, int)
assert isinstance(_value.qualityProfile.value.items[0].id, int)
assert _value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.qualityProfile.value.items[0].quality.id, int)
assert _value.qualityProfile.value.items[0].quality.name == "string"
assert _value.qualityProfile.value.items[0].items[0] is None
assert _value.qualityProfile.value.items[0].allowed is True
assert _value.qualityProfile.isLoaded is True
assert isinstance(_value.metadataProfile.value.id, int)
assert _value.metadataProfile.value.name == "string"
assert isinstance(_value.metadataProfile.value.minPopularity, int)
assert _value.metadataProfile.value.skipMissingDate is True
assert _value.metadataProfile.value.skipMissingIsbn is True
assert _value.metadataProfile.value.skipPartsAndSets is True
assert _value.metadataProfile.value.skipSeriesSecondary is True
assert _value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.metadataProfile.value.minPages, int)
assert _value.metadataProfile.value.ignored == "string"
assert _value.metadataProfile.isLoaded is True
assert _value.books.value[0] is None
assert _value.books.isLoaded is True
assert isinstance(_value.series.value[0].id, int)
assert _value.series.value[0].foreignSeriesId == "string"
assert _value.series.value[0].title == "string"
assert _value.series.value[0].description == "string"
assert _value.series.value[0].numbered is True
assert isinstance(_value.series.value[0].workCount, int)
assert isinstance(_value.series.value[0].primaryWorkCount, int)
assert _value.series.value[0].books.value[0] is None
assert _value.series.value[0].books.isLoaded is True
assert _value.series.value[0].foreignAuthorId == "string"
assert _value.series.isLoaded is True
assert _value.name == "string"
assert _value.foreignAuthorId == "string"
assert data[0].author.lastBook.author.isLoaded is True
_value = data[0].author.lastBook.editions.value[0]
assert isinstance(_value.id, int)
assert isinstance(_value.bookId, int)
assert _value.foreignEditionId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.isbn13 == "string"
assert _value.asin == "string"
assert _value.title == "string"
assert _value.language == "string"
assert _value.overview == "string"
assert _value.format == "string"
assert _value.isEbook is True
assert _value.disambiguation == "string"
assert _value.publisher == "string"
assert isinstance(_value.pageCount, int)
assert _value.releaseDate == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert _value.monitored is True
assert _value.manualAdd is True
assert _value.book.isLoaded is True
_val = _value.bookFiles.value[0]
assert isinstance(_val.id, int)
assert _val.path == "string"
assert isinstance(_val.size, int)
assert _val.modified == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _val.dateAdded == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _val.sceneName == "string"
assert _val.releaseGroup == "string"
assert isinstance(_val.quality.quality.id, int)
assert _val.quality.quality.name == "string"
assert isinstance(_val.quality.revision.version, int)
assert isinstance(_val.quality.revision.real, int)
assert _val.quality.revision.isRepack is True
assert _val.mediaInfo.audioFormat == "string"
assert isinstance(_val.mediaInfo.audioBitrate, int)
assert isinstance(_val.mediaInfo.audioChannels, float)
assert isinstance(_val.mediaInfo.audioBits, int)
assert _val.mediaInfo.audioSampleRate == "string"
assert isinstance(_val.editionId, int)
assert isinstance(_val.calibreId, int)
assert isinstance(_val.part, int)
assert isinstance(_val.author.value.id, int)
assert isinstance(_val.author.value.authorMetadataId, int)
assert _val.author.value.cleanName == "string"
assert _val.author.value.monitored is True
assert _val.author.value.lastInfoSync == datetime(2021, 12, 7, 9, 7, 35, 509000)
assert _val.author.value.path == "string"
assert _val.author.value.rootFolderPath == "string"
assert _val.author.value.added == datetime(2021, 12, 7, 9, 7, 35, 510000)
assert isinstance(_val.author.value.qualityProfileId, int)
assert isinstance(_val.author.value.metadataProfileId, int)
assert isinstance(_val.author.value.tags[0], int)
assert _val.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _val.author.value.addOptions.booksToMonitor[0] == "string"
assert _val.author.value.addOptions.monitored is True
assert _val.author.value.addOptions.searchForMissingBooks is True
_valu = _val.author.value.metadata.value
assert isinstance(_valu.id, int)
assert _valu.foreignAuthorId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.name == "string"
assert _valu.sortName == "string"
assert _valu.nameLastFirst == "string"
assert _valu.sortNameLastFirst == "string"
assert _valu.aliases[0] == "string"
assert _valu.overview == "string"
assert _valu.disambiguation == "string"
assert _valu.gender == "string"
assert _valu.hometown == "string"
assert _valu.born == datetime(2021, 12, 7, 9, 7, 35, 510000)
assert _valu.died == datetime(2021, 12, 7, 9, 7, 35, 510000)
assert _valu.status == "string"
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert _valu.genres[0] == "string"
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, int)
assert _val.author.value.metadata.isLoaded is True
assert isinstance(_val.author.value.qualityProfile.value.id, int)
assert _val.author.value.qualityProfile.value.name == "string"
assert _val.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_val.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_val.author.value.qualityProfile.value.items[0].id, int)
assert _val.author.value.qualityProfile.value.items[0].name == "string"
assert _val.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_val.author.value.qualityProfile.value.items[0].quality.id, int)
assert _val.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _val.author.value.qualityProfile.value.items[0].items[0] is None
assert _val.author.value.qualityProfile.value.items[0].allowed is True
assert _val.author.value.qualityProfile.isLoaded is True
assert isinstance(_val.author.value.metadataProfile.value.id, int)
assert _val.author.value.metadataProfile.value.name == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPopularity, int)
assert _val.author.value.metadataProfile.value.skipMissingDate is True
assert _val.author.value.metadataProfile.value.skipMissingIsbn is True
assert _val.author.value.metadataProfile.value.skipPartsAndSets is True
assert _val.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _val.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPages, int)
assert _val.author.value.metadataProfile.value.ignored == "string"
assert _val.author.value.metadataProfile.isLoaded is True
assert _val.author.value.books.value[0] is None
assert _val.author.value.books.isLoaded is True
assert isinstance(_val.author.value.series.value[0].id, int)
assert _val.author.value.series.value[0].foreignSeriesId == "string"
assert _val.author.value.series.value[0].title == "string"
assert _val.author.value.series.value[0].description == "string"
assert _val.author.value.series.value[0].numbered is True
assert isinstance(_val.author.value.series.value[0].workCount, int)
assert isinstance(_val.author.value.series.value[0].primaryWorkCount, int)
assert _val.author.value.series.value[0].books.value[0] is None
assert _val.author.value.series.value[0].books.isLoaded is True
assert _val.author.value.series.value[0].foreignAuthorId == "string"
assert _val.author.value.series.isLoaded is True
assert _val.author.value.name == "string"
assert _val.author.value.foreignAuthorId == "string"
assert _val.author.isLoaded is True
assert _val.edition.isLoaded is True
assert isinstance(_val.partCount, int)
assert _value.bookFiles.isLoaded is True
value = data[0].author.lastBook
assert isinstance(value.seriesLinks.value[0].id, int)
assert value.seriesLinks.value[0].position == "string"
assert isinstance(value.seriesLinks.value[0].seriesId, int)
assert isinstance(value.seriesLinks.value[0].bookId, int)
assert value.seriesLinks.value[0].isPrimary is True
assert isinstance(value.seriesLinks.value[0].series.value.id, int)
assert value.seriesLinks.value[0].series.value.foreignSeriesId == "string"
assert value.seriesLinks.value[0].series.value.title == "string"
assert value.seriesLinks.value[0].series.value.description == "string"
assert value.seriesLinks.value[0].series.value.numbered is True
assert isinstance(value.seriesLinks.value[0].series.value.workCount, int)
assert isinstance(value.seriesLinks.value[0].series.value.primaryWorkCount, int)
assert value.seriesLinks.value[0].series.value.books.value[0] is None
assert value.seriesLinks.value[0].series.value.books.isLoaded is True
assert value.seriesLinks.value[0].series.value.foreignAuthorId == "string"
assert value.seriesLinks.value[0].series.isLoaded is True
assert value.seriesLinks.value[0].book.isLoaded is True
assert value.seriesLinks.isLoaded is True
assert data[0].author.images[0].url == "string"
assert data[0].author.images[0].coverType == ImageType.POSTER.value
assert data[0].author.images[0].extension == "string"
assert data[0].author.remotePoster == "string"
assert data[0].author.path == "string"
assert isinstance(data[0].author.qualityProfileId, int)
assert isinstance(data[0].author.metadataProfileId, int)
assert data[0].author.monitored is True
assert data[0].author.rootFolderPath == "string"
assert data[0].author.genres[0] == "string"
assert data[0].author.cleanName == "string"
assert data[0].author.sortName == "string"
assert data[0].author.sortNameLastFirst == "string"
assert isinstance(data[0].author.tags[0], int)
assert data[0].author.added == datetime(2021, 12, 7, 9, 7, 35, 510000)
assert data[0].author.addOptions.monitor == MonitoringOptionsType.ALL.value
assert data[0].author.addOptions.booksToMonitor[0] == "string"
assert data[0].author.addOptions.monitored is True
assert data[0].author.addOptions.searchForMissingBooks is True
assert isinstance(data[0].author.ratings.votes, int)
assert isinstance(data[0].author.ratings.value, float)
assert isinstance(data[0].author.ratings.popularity, int)
assert isinstance(data[0].author.statistics.bookFileCount, int)
assert isinstance(data[0].author.statistics.bookCount, int)
assert isinstance(data[0].author.statistics.availableBookCount, int)
assert isinstance(data[0].author.statistics.totalBookCount, int)
assert isinstance(data[0].author.statistics.sizeOnDisk, int)
assert isinstance(data[0].author.statistics.percentOfBooks, float)
assert data[0].images[0].url == "string"
assert data[0].images[0].coverType == ImageType.POSTER.value
assert data[0].images[0].extension == "string"
assert data[0].links[0].url == "string"
assert data[0].links[0].name == "string"
assert isinstance(data[0].statistics.bookFileCount, int)
assert isinstance(data[0].statistics.bookCount, int)
assert isinstance(data[0].statistics.totalBookCount, int)
assert isinstance(data[0].statistics.sizeOnDisk, int)
assert isinstance(data[0].statistics.percentOfBooks, float)
assert data[0].added == datetime(2021, 12, 7, 9, 7, 35, 510000)
assert data[0].addOptions.addType == AddTypes.AUTOMATIC.value
assert data[0].addOptions.searchForNewBook is True
assert data[0].remoteCover == "string"
assert isinstance(data[0].editions[0].id, int)
assert isinstance(data[0].editions[0].bookId, int)
assert data[0].editions[0].foreignEditionId == "string"
assert isinstance(data[0].editions[0].titleSlug, int)
assert data[0].editions[0].isbn13 == "string"
assert data[0].editions[0].asin == "string"
assert data[0].editions[0].title == "string"
assert data[0].editions[0].language == "string"
assert data[0].editions[0].overview == "string"
assert data[0].editions[0].format == "string"
assert data[0].editions[0].isEbook is True
assert data[0].editions[0].disambiguation == "string"
assert data[0].editions[0].publisher == "string"
assert isinstance(data[0].editions[0].pageCount, int)
assert data[0].editions[0].releaseDate == datetime(2021, 12, 7, 9, 7, 35, 510000)
assert data[0].editions[0].images[0].url == "string"
assert data[0].editions[0].images[0].coverType == ImageType.POSTER.value
assert data[0].editions[0].images[0].extension == "string"
assert data[0].editions[0].links[0].url == "string"
assert data[0].editions[0].links[0].name == "string"
assert isinstance(data[0].editions[0].ratings.votes, int)
assert isinstance(data[0].editions[0].ratings.value, float)
assert isinstance(data[0].editions[0].ratings.popularity, int)
assert data[0].editions[0].monitored is True
assert data[0].editions[0].manualAdd is True
assert data[0].editions[0].remoteCover == "string"
assert data[0].editions[0].grabbed is True
assert data[0].grabbed is True
@pytest.mark.asyncio
async def test_async_get_book_file(aresponses, readarr_client: ReadarrClient) -> None:
"""Test getting book file info."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/bookfile?unmapped=False&bookFileIds=0",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/book-file.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_book_file(fileid=[0])
assert isinstance(data.id, int)
assert isinstance(data.authorId, int)
assert isinstance(data.bookId, int)
assert data.path == "string"
assert isinstance(data.size, int)
assert data.dateAdded == datetime(2021, 12, 9, 20, 39, 8, 79000)
assert isinstance(data.quality.quality.id, int)
assert data.quality.quality.name == "string"
assert isinstance(data.quality.revision.version, int)
assert isinstance(data.quality.revision.real, int)
assert data.quality.revision.isRepack is True
assert isinstance(data.qualityWeight, int)
assert isinstance(data.mediaInfo.id, int)
assert isinstance(data.mediaInfo.audioChannels, float)
assert isinstance(data.mediaInfo.audioBitRate, int)
assert data.mediaInfo.audioCodec == "string"
assert isinstance(data.mediaInfo.audioBits, int)
assert data.mediaInfo.audioSampleRate == "string"
assert data.qualityCutoffNotMet is True
assert data.audioTags.title == "string"
assert data.audioTags.cleanTitle == "string"
assert data.audioTags.authors[0] == "string"
assert data.audioTags.authorTitle == "string"
assert data.audioTags.bookTitle == "string"
assert data.audioTags.seriesTitle == "string"
assert data.audioTags.seriesIndex == "string"
assert data.audioTags.isbn == "string"
assert data.audioTags.asin == "string"
assert data.audioTags.goodreadsId == "string"
assert data.audioTags.authorMBId == "string"
assert data.audioTags.bookMBId == "string"
assert data.audioTags.releaseMBId == "string"
assert data.audioTags.recordingMBId == "string"
assert data.audioTags.trackMBId == "string"
assert isinstance(data.audioTags.trackNumbers[0], int)
assert isinstance(data.audioTags.discNumber, int)
assert isinstance(data.audioTags.discCount, int)
assert data.audioTags.country.twoLetterCode == "string"
assert data.audioTags.country.name == "string"
assert isinstance(data.audioTags.year, int)
assert data.audioTags.publisher == "string"
assert data.audioTags.label == "string"
assert data.audioTags.source == "string"
assert data.audioTags.catalogNumber == "string"
assert data.audioTags.disambiguation == "string"
assert data.audioTags.duration == "00:00:00"
assert isinstance(data.audioTags.quality.quality.id, int)
assert data.audioTags.quality.quality.name == "string"
assert isinstance(data.audioTags.quality.revision.version, int)
assert isinstance(data.audioTags.quality.revision.real, int)
assert data.audioTags.quality.revision.isRepack is True
assert data.audioTags.mediaInfo.audioFormat == "string"
assert isinstance(data.audioTags.mediaInfo.audioBitrate, int)
assert isinstance(data.audioTags.mediaInfo.audioChannels, float)
assert isinstance(data.audioTags.mediaInfo.audioBits, int)
assert data.audioTags.mediaInfo.audioSampleRate == "string"
assert isinstance(data.audioTags.trackNumbers[0], int)
assert data.audioTags.language == "string"
assert data.audioTags.releaseGroup == "string"
assert data.audioTags.releaseHash == "string"
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/bookfile?unmapped=False&authorId=0&bookId=0",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/book-file.json"),
),
match_querystring=True,
)
await readarr_client.async_get_book_file(authorid=0, bookid=0)
@pytest.mark.asyncio
async def test_async_book_lookup(aresponses, readarr_client: ReadarrClient) -> None:
"""Test getting book info."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/book/lookup?term=isbn:test",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/book-lookup.json"),
),
match_querystring=True,
)
data = await readarr_client.async_lookup_book(term="test")
assert data[0].title == "string"
assert data[0].authorTitle == "string"
assert data[0].seriesTitle == "string"
assert data[0].disambiguation == "string"
assert data[0].overview == "string"
assert isinstance(data[0].authorId, int)
assert data[0].foreignBookId == "string"
assert isinstance(data[0].titleSlug, int)
assert data[0].monitored is False
assert data[0].anyEditionOk is True
assert isinstance(data[0].ratings.votes, int)
assert isinstance(data[0].ratings.value, float)
assert isinstance(data[0].ratings.popularity, float)
assert data[0].releaseDate == datetime(1869, 1, 1, 0, 0)
assert isinstance(data[0].pageCount, int)
assert data[0].genres == ["string"]
assert isinstance(data[0].author.authorMetadataId, int)
assert data[0].author.status == "string"
assert data[0].author.ended is False
assert data[0].author.authorName == "string"
assert data[0].author.authorNameLastFirst == "string"
assert data[0].author.foreignAuthorId == "string"
assert isinstance(data[0].author.titleSlug, int)
assert data[0].author.links[0].url == "string"
assert data[0].author.links[0].name == "string"
assert data[0].author.images[0].url == "string"
assert data[0].author.images[0].coverType == ImageType.POSTER.value
assert data[0].author.images[0].extension == "string"
assert isinstance(data[0].author.qualityProfileId, int)
assert isinstance(data[0].author.metadataProfileId, int)
assert data[0].author.monitored is False
assert data[0].author.monitorNewItems == "string"
assert data[0].author.genres[0] == "string"
assert data[0].author.cleanName == "string"
assert data[0].author.sortName == "string"
assert data[0].author.sortNameLastFirst == "string"
assert isinstance(data[0].author.tags[0], int)
assert data[0].author.added == datetime(1, 1, 1, 4, 57)
assert isinstance(data[0].author.ratings.votes, int)
assert isinstance(data[0].author.ratings.value, float)
assert isinstance(data[0].author.ratings.popularity, float)
assert isinstance(data[0].author.statistics.bookFileCount, int)
assert isinstance(data[0].author.statistics.bookCount, int)
assert isinstance(data[0].author.statistics.availableBookCount, int)
assert isinstance(data[0].author.statistics.totalBookCount, int)
assert isinstance(data[0].author.statistics.sizeOnDisk, int)
assert isinstance(data[0].author.statistics.percentOfBooks, float)
assert data[0].images[0].url == "string"
assert data[0].images[0].coverType == "cover"
assert data[0].images[0].extension == ".jpg"
assert data[0].links[0].url == "string"
assert data[0].links[0].name == "string"
assert data[0].added == datetime(1, 1, 1, 4, 57)
assert data[0].remoteCover == "string"
assert isinstance(data[0].editions[0].bookId, int)
assert data[0].editions[0].foreignEditionId == "string"
assert isinstance(data[0].editions[0].titleSlug, int)
assert data[0].editions[0].title == "string"
assert data[0].editions[0].language == "string"
assert data[0].editions[0].overview == "string"
assert data[0].editions[0].isEbook is False
assert data[0].editions[0].disambiguation == "string"
assert data[0].editions[0].publisher == "string"
assert isinstance(data[0].editions[0].pageCount, int)
assert data[0].editions[0].releaseDate == datetime(1998, 6, 25, 0, 0)
assert data[0].editions[0].images[0].url == "string"
assert data[0].editions[0].images[0].coverType == "cover"
assert data[0].editions[0].images[0].extension == ".jpg"
assert data[0].editions[0].images[0].extension == ".jpg"
assert data[0].editions[0].links[0].url == "string"
assert data[0].editions[0].links[0].name == "string"
assert isinstance(data[0].editions[0].ratings.votes, int)
assert isinstance(data[0].editions[0].ratings.value, float)
assert isinstance(data[0].editions[0].ratings.popularity, float)
assert data[0].editions[0].monitored is True
assert data[0].editions[0].manualAdd is False
assert data[0].editions[0].grabbed is False
assert data[0].grabbed is False
@pytest.mark.asyncio
async def test_async_get_calendar(aresponses, readarr_client: ReadarrClient) -> None:
"""Test getting calendar."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/calendar?unmonitored=False&includeAuthor=False&start=2020-11-30&end=2020-12-01",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/calendar.json"),
),
match_querystring=True,
)
start = datetime.strptime("Nov 30 2020 1:33PM", "%b %d %Y %I:%M%p")
end = datetime.strptime("Dec 1 2020 1:33PM", "%b %d %Y %I:%M%p")
data = await readarr_client.async_get_calendar(start, end)
assert isinstance(data[0].id, int)
assert data[0].title == "string"
assert data[0].authorTitle == "string"
assert data[0].seriesTitle == "string"
assert data[0].disambiguation == "string"
assert data[0].overview == "string"
assert isinstance(data[0].authorId, int)
assert data[0].foreignBookId == "string"
assert isinstance(data[0].titleSlug, int)
assert data[0].monitored is True
assert data[0].anyEditionOk is True
assert isinstance(data[0].ratings.votes, int)
assert isinstance(data[0].ratings.value, float)
assert data[0].releaseDate == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert isinstance(data[0].pageCount, int)
assert data[0].genres[0] == "string"
_value = data[0].author
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.status == "string"
assert _value.authorName == "string"
assert _value.authorNameLastFirst == "string"
assert _value.foreignAuthorId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.overview == "string"
assert _value.disambiguation == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert isinstance(_value.nextBook.id, int)
assert isinstance(_value.nextBook.authorMetadataId, int)
assert _value.nextBook.foreignBookId == "string"
assert isinstance(_value.nextBook.titleSlug, int)
assert _value.nextBook.title == "string"
assert _value.nextBook.releaseDate == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.nextBook.links[0].url == "string"
assert _value.nextBook.links[0].name == "string"
assert _value.nextBook.genres[0] == "string"
assert isinstance(_value.nextBook.ratings.votes, int)
assert isinstance(_value.nextBook.ratings.value, float)
assert _value.nextBook.cleanTitle == "string"
assert _value.nextBook.monitored is True
assert _value.nextBook.anyEditionOk is True
assert _value.nextBook.lastInfoSync == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.nextBook.added == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.nextBook.addOptions.addType == AddTypes.AUTOMATIC.value
assert _value.nextBook.addOptions.searchForNewBook is True
_value = data[0].author.nextBook.authorMetadata.value
assert isinstance(_value.id, int)
assert _value.foreignAuthorId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.name == "string"
assert _value.sortName == "string"
assert _value.sortNameLastFirst == "string"
assert _value.aliases[0] == "string"
assert _value.overview == "string"
assert _value.disambiguation == "string"
assert _value.gender == "string"
assert _value.hometown == "string"
assert _value.born == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.died == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.status == "string"
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert _value.genres[0] == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert data[0].author.nextBook.authorMetadata.isLoaded is True
_value = data[0].author.nextBook.author.value
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.cleanName == "string"
assert _value.monitored is True
assert _value.lastInfoSync == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.path == "string"
assert _value.rootFolderPath == "string"
assert _value.added == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.disambiguation == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.metadata.value.died == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert _value.metadata.isLoaded is True
assert isinstance(_value.qualityProfile.value.id, int)
assert _value.qualityProfile.value.name == "string"
assert _value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.qualityProfile.value.cutoff, int)
assert isinstance(_value.qualityProfile.value.items[0].id, int)
assert _value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.qualityProfile.value.items[0].quality.id, int)
assert _value.qualityProfile.value.items[0].quality.name == "string"
assert _value.qualityProfile.value.items[0].items == [None]
assert _value.qualityProfile.value.items[0].allowed is True
assert _value.qualityProfile.isLoaded is True
assert isinstance(_value.metadataProfile.value.id, int)
assert _value.metadataProfile.value.name == "string"
assert isinstance(_value.metadataProfile.value.minPopularity, int)
assert _value.metadataProfile.value.skipMissingDate is True
assert _value.metadataProfile.value.skipMissingIsbn is True
assert _value.metadataProfile.value.skipPartsAndSets is True
assert _value.metadataProfile.value.skipSeriesSecondary is True
assert _value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.metadataProfile.value.minPages, int)
assert _value.metadataProfile.value.ignored == "string"
assert _value.metadataProfile.isLoaded is True
assert _value.books.value == [None]
assert _value.books.isLoaded is True
assert isinstance(_value.series.value[0].id, int)
assert _value.series.value[0].foreignSeriesId == "string"
assert _value.series.value[0].title == "string"
assert _value.series.value[0].description == "string"
assert _value.series.value[0].numbered is True
assert isinstance(_value.series.value[0].workCount, int)
assert isinstance(_value.series.value[0].primaryWorkCount, int)
assert _value.series.value[0].books.value == [None]
assert _value.series.value[0].books.isLoaded is True
assert _value.series.value[0].foreignAuthorId == "string"
assert _value.series.isLoaded is True
assert _value.name == "string"
assert _value.foreignAuthorId == "string"
_book = data[0].author.nextBook
_valu = _book.editions.value[0]
assert isinstance(_valu.id, int)
assert isinstance(_valu.bookId, int)
assert _valu.foreignEditionId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.isbn13 == "string"
assert _valu.asin == "string"
assert _valu.title == "string"
assert _valu.language == "string"
assert _valu.overview == "string"
assert _valu.format == "string"
assert _valu.isEbook is True
assert _valu.disambiguation == "string"
assert _valu.publisher == "string"
assert isinstance(_valu.pageCount, int)
assert _valu.releaseDate == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, int)
assert _valu.monitored is True
assert _valu.manualAdd is True
assert _valu.book.isLoaded is True
_value = _book.editions.value[0].bookFiles.value[0]
assert isinstance(_value.id, int)
assert _value.path == "string"
assert isinstance(_value.size, int)
assert _value.modified == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _value.dateAdded == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _value.sceneName == "string"
assert _value.releaseGroup == "string"
assert isinstance(_value.quality.quality.id, int)
assert _value.quality.quality.name == "string"
assert isinstance(_value.quality.revision.version, int)
assert isinstance(_value.quality.revision.real, int)
assert _value.quality.revision.isRepack is True
assert _value.mediaInfo.audioFormat == "string"
assert isinstance(_value.mediaInfo.audioBitrate, int)
assert isinstance(_value.mediaInfo.audioChannels, float)
assert isinstance(_value.mediaInfo.audioBits, int)
assert isinstance(_value.mediaInfo.audioSampleRate, int)
assert isinstance(_value.editionId, int)
assert isinstance(_value.calibreId, int)
assert isinstance(_value.part, int)
assert isinstance(_value.author.value.id, int)
assert isinstance(_value.author.value.authorMetadataId, int)
assert _value.author.value.cleanName == "string"
assert _value.author.value.monitored is True
assert _value.author.value.lastInfoSync == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _value.author.value.path == "string"
assert _value.author.value.rootFolderPath == "string"
assert _value.author.value.added == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert isinstance(_value.author.value.qualityProfileId, int)
assert isinstance(_value.author.value.metadataProfileId, int)
assert isinstance(_value.author.value.tags[0], int)
assert _value.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.author.value.addOptions.booksToMonitor[0] == "string"
assert _value.author.value.addOptions.monitored is True
assert _value.author.value.addOptions.searchForMissingBooks is True
_valu = _value.author.value.metadata.value
assert isinstance(_valu.id, int)
assert _valu.foreignAuthorId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.name == "string"
assert _valu.sortName == "string"
assert _valu.nameLastFirst == "string"
assert _valu.sortNameLastFirst == "string"
assert _valu.aliases[0] == "string"
assert _valu.overview == "string"
assert _valu.disambiguation == "string"
assert _valu.gender == "string"
assert _valu.hometown == "string"
assert _valu.born == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _valu.died == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _valu.status == "string"
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert _valu.genres[0] == "string"
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, int)
assert _value.author.value.metadata.isLoaded is True
assert isinstance(_value.author.value.qualityProfile.value.id, int)
assert _value.author.value.qualityProfile.value.name == "string"
assert _value.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_value.author.value.qualityProfile.value.items[0].id, int)
assert _value.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.author.value.qualityProfile.value.items[0].quality.id, int)
assert _value.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _value.author.value.qualityProfile.value.items[0].items == [None]
assert _value.author.value.qualityProfile.value.items[0].allowed is True
assert _value.author.value.qualityProfile.isLoaded is True
assert isinstance(_value.author.value.metadataProfile.value.id, int)
assert _value.author.value.metadataProfile.value.name == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPopularity, int)
assert _value.author.value.metadataProfile.value.skipMissingDate is True
assert _value.author.value.metadataProfile.value.skipMissingIsbn is True
assert _value.author.value.metadataProfile.value.skipPartsAndSets is True
assert _value.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _value.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPages, int)
assert _value.author.value.metadataProfile.value.ignored == "string"
assert _value.author.value.metadataProfile.isLoaded is True
assert _value.author.value.books.value == [None]
assert _value.author.value.books.isLoaded is True
assert isinstance(_value.author.value.series.value[0].id, int)
assert _value.author.value.series.value[0].foreignSeriesId == "string"
assert _value.author.value.series.value[0].title == "string"
assert _value.author.value.series.value[0].description == "string"
assert _value.author.value.series.value[0].numbered is True
assert isinstance(_value.author.value.series.value[0].workCount, int)
assert isinstance(_value.author.value.series.value[0].primaryWorkCount, int)
assert _value.author.value.series.value[0].books.value == [None]
assert _value.author.value.series.value[0].books.isLoaded is True
assert _value.author.value.series.value[0].foreignAuthorId == "string"
assert _value.author.value.series.isLoaded is True
assert _value.author.value.name == "string"
assert _value.author.isLoaded is True
assert _value.edition.isLoaded is True
assert isinstance(_value.partCount, int)
assert _book.editions.value[0].bookFiles.isLoaded is True
assert _book.editions.isLoaded is True
_val = _book.bookFiles.value[0]
assert isinstance(_val.id, int)
assert _val.path == "string"
assert isinstance(_val.size, int)
assert _val.modified == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _val.dateAdded == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _val.sceneName == "string"
assert _val.releaseGroup == "string"
assert isinstance(_val.quality.quality.id, int)
assert _val.quality.quality.name == "string"
assert isinstance(_val.quality.revision.version, int)
assert isinstance(_val.quality.revision.real, int)
assert _val.quality.revision.isRepack is True
assert _val.mediaInfo.audioFormat == "string"
assert isinstance(_val.mediaInfo.audioBitrate, int)
assert isinstance(_val.mediaInfo.audioChannels, float)
assert isinstance(_val.mediaInfo.audioBits, int)
assert isinstance(_val.mediaInfo.audioSampleRate, int)
assert isinstance(_val.editionId, int)
assert isinstance(_val.calibreId, int)
assert isinstance(_val.part, int)
_author = _book.bookFiles.value[0].author
assert isinstance(_author.value.id, int)
assert isinstance(_author.value.authorMetadataId, int)
assert _author.value.cleanName == "string"
assert _author.value.monitored is True
assert _author.value.lastInfoSync == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _author.value.path == "string"
assert _author.value.rootFolderPath == "string"
assert _author.value.added == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert isinstance(_author.value.qualityProfileId, int)
assert isinstance(_author.value.metadataProfileId, int)
assert isinstance(_author.value.tags[0], int)
assert _author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _author.value.addOptions.booksToMonitor[0] == "string"
assert _author.value.addOptions.monitored is True
assert _author.value.addOptions.searchForMissingBooks is True
_val = _author.value.metadata.value
assert isinstance(_val.id, int)
assert _val.foreignAuthorId == "string"
assert isinstance(_val.titleSlug, int)
assert _val.name == "string"
assert _val.sortName == "string"
assert _val.nameLastFirst == "string"
assert _val.sortNameLastFirst == "string"
assert _val.aliases[0] == "string"
assert _val.overview == "string"
assert _val.disambiguation == "string"
assert _val.gender == "string"
assert _val.hometown == "string"
assert _val.born == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _val.died == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _val.status == "string"
assert _val.images[0].url == "string"
assert _val.images[0].coverType == ImageType.POSTER.value
assert _val.images[0].extension == "string"
assert _val.links[0].url == "string"
assert _val.links[0].name == "string"
assert _val.genres[0] == "string"
assert isinstance(_val.ratings.votes, int)
assert isinstance(_val.ratings.value, float)
assert isinstance(_val.ratings.popularity, int)
assert _author.value.metadata.isLoaded is True
assert isinstance(_author.value.qualityProfile.value.id, int)
assert _author.value.qualityProfile.value.name == "string"
assert _author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_author.value.qualityProfile.value.cutoff, int)
assert isinstance(_author.value.qualityProfile.value.items[0].id, int)
assert _author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_author.value.qualityProfile.value.items[0].quality.id, int)
assert _author.value.qualityProfile.value.items[0].quality.name == "string"
assert _author.value.qualityProfile.value.items[0].items == [None]
assert _author.value.qualityProfile.value.items[0].allowed is True
assert _author.value.qualityProfile.isLoaded is True
assert isinstance(_author.value.metadataProfile.value.id, int)
assert _author.value.metadataProfile.value.name == "string"
assert isinstance(_author.value.metadataProfile.value.minPopularity, int)
assert _author.value.metadataProfile.value.skipMissingDate is True
assert _author.value.metadataProfile.value.skipMissingIsbn is True
assert _author.value.metadataProfile.value.skipPartsAndSets is True
assert _author.value.metadataProfile.value.skipSeriesSecondary is True
assert _author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_author.value.metadataProfile.value.minPages, int)
assert _author.value.metadataProfile.value.ignored == "string"
assert _author.value.metadataProfile.isLoaded is True
assert _author.value.books.value == [None]
assert _author.value.books.isLoaded is True
assert isinstance(_author.value.series.value[0].id, int)
assert _author.value.series.value[0].foreignSeriesId == "string"
assert _author.value.series.value[0].title == "string"
assert _author.value.series.value[0].description == "string"
assert _author.value.series.value[0].numbered is True
assert isinstance(_author.value.series.value[0].workCount, int)
assert isinstance(_author.value.series.value[0].primaryWorkCount, int)
assert _author.value.series.value[0].books.value == [None]
assert _author.value.series.value[0].books.isLoaded is True
assert _author.value.series.value[0].foreignAuthorId == "string"
assert _author.value.series.isLoaded is True
assert _author.value.name == "string"
assert _author.value.foreignAuthorId == "string"
assert _author.isLoaded is True
assert _book.bookFiles.value[0].edition.isLoaded is True
assert isinstance(_book.bookFiles.value[0].partCount, int)
assert _book.bookFiles.isLoaded is True
assert isinstance(_book.seriesLinks.value[0].id, int)
assert _book.seriesLinks.value[0].position == "string"
assert isinstance(_book.seriesLinks.value[0].seriesId, int)
assert isinstance(_book.seriesLinks.value[0].bookId, int)
assert _book.seriesLinks.value[0].isPrimary is True
assert isinstance(_book.seriesLinks.value[0].series.value.id, int)
assert _book.seriesLinks.value[0].series.value.foreignSeriesId == "string"
assert _book.seriesLinks.value[0].series.value.title == "string"
assert _book.seriesLinks.value[0].series.value.description == "string"
assert _book.seriesLinks.value[0].series.value.numbered is True
assert isinstance(_book.seriesLinks.value[0].series.value.workCount, int)
assert isinstance(_book.seriesLinks.value[0].series.value.primaryWorkCount, int)
assert _book.seriesLinks.value[0].series.value.books.value == [None]
assert _book.seriesLinks.value[0].series.value.books.isLoaded is True
assert _book.seriesLinks.value[0].series.value.foreignAuthorId == "string"
assert _book.seriesLinks.value[0].series.isLoaded is True
assert _book.seriesLinks.value[0].book.isLoaded is True
assert _book.seriesLinks.isLoaded is True
_value = data[0].author
assert isinstance(_value.nextBook.id, int)
assert isinstance(_value.nextBook.authorMetadataId, int)
assert _value.nextBook.foreignBookId == "string"
assert isinstance(_value.nextBook.titleSlug, int)
assert _value.nextBook.title == "string"
assert _value.nextBook.releaseDate == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.nextBook.links[0].url == "string"
assert _value.nextBook.links[0].name == "string"
assert _value.nextBook.genres[0] == "string"
assert isinstance(_value.nextBook.ratings.votes, int)
assert isinstance(_value.nextBook.ratings.value, float)
assert _value.nextBook.cleanTitle == "string"
assert _value.nextBook.monitored is True
assert _value.nextBook.anyEditionOk is True
assert _value.nextBook.lastInfoSync == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.nextBook.added == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.nextBook.addOptions.addType == AddTypes.AUTOMATIC.value
assert _value.nextBook.addOptions.searchForNewBook is True
_value = data[0].author.nextBook.authorMetadata.value
assert isinstance(_value.id, int)
assert _value.foreignAuthorId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.name == "string"
assert _value.sortName == "string"
assert _value.sortNameLastFirst == "string"
assert _value.aliases[0] == "string"
assert _value.overview == "string"
assert _value.disambiguation == "string"
assert _value.gender == "string"
assert _value.hometown == "string"
assert _value.born == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.died == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.status == "string"
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert _value.genres[0] == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert data[0].author.nextBook.authorMetadata.isLoaded is True
_value = data[0].author.nextBook.author.value
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.cleanName == "string"
assert _value.monitored is True
assert _value.lastInfoSync == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.path == "string"
assert _value.rootFolderPath == "string"
assert _value.added == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.disambiguation == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.metadata.value.died == datetime(2021, 12, 11, 9, 30, 28, 338000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert _value.metadata.isLoaded is True
assert isinstance(_value.qualityProfile.value.id, int)
assert _value.qualityProfile.value.name == "string"
assert _value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.qualityProfile.value.cutoff, int)
assert isinstance(_value.qualityProfile.value.items[0].id, int)
assert _value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.qualityProfile.value.items[0].quality.id, int)
assert _value.qualityProfile.value.items[0].quality.name == "string"
assert _value.qualityProfile.value.items[0].items == [None]
assert _value.qualityProfile.value.items[0].allowed is True
assert _value.qualityProfile.isLoaded is True
assert isinstance(_value.metadataProfile.value.id, int)
assert _value.metadataProfile.value.name == "string"
assert isinstance(_value.metadataProfile.value.minPopularity, int)
assert _value.metadataProfile.value.skipMissingDate is True
assert _value.metadataProfile.value.skipMissingIsbn is True
assert _value.metadataProfile.value.skipPartsAndSets is True
assert _value.metadataProfile.value.skipSeriesSecondary is True
assert _value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.metadataProfile.value.minPages, int)
assert _value.metadataProfile.value.ignored == "string"
assert _value.metadataProfile.isLoaded is True
assert _value.books.value == [None]
assert _value.books.isLoaded is True
assert isinstance(_value.series.value[0].id, int)
assert _value.series.value[0].foreignSeriesId == "string"
assert _value.series.value[0].title == "string"
assert _value.series.value[0].description == "string"
assert _value.series.value[0].numbered is True
assert isinstance(_value.series.value[0].workCount, int)
assert isinstance(_value.series.value[0].primaryWorkCount, int)
assert _value.series.value[0].books.value == [None]
assert _value.series.value[0].books.isLoaded is True
assert _value.series.value[0].foreignAuthorId == "string"
assert _value.series.isLoaded is True
assert _value.name == "string"
assert _value.foreignAuthorId == "string"
_book = data[0].author.nextBook
_value = _book.editions.value[0]
assert isinstance(_value.id, int)
assert isinstance(_value.bookId, int)
assert _value.foreignEditionId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.isbn13 == "string"
assert _value.asin == "string"
assert _value.title == "string"
assert _value.language == "string"
assert _value.overview == "string"
assert _value.format == "string"
assert _value.isEbook is True
assert _value.disambiguation == "string"
assert _value.publisher == "string"
assert isinstance(_value.pageCount, int)
assert _value.releaseDate == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, int)
assert _value.monitored is True
assert _value.manualAdd is True
assert _value.book.isLoaded is True
_value = _value.bookFiles.value[0]
assert isinstance(_value.id, int)
assert _value.path == "string"
assert isinstance(_value.size, int)
assert _value.modified == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _value.dateAdded == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _value.sceneName == "string"
assert _value.releaseGroup == "string"
assert isinstance(_value.quality.quality.id, int)
assert _value.quality.quality.name == "string"
assert isinstance(_value.quality.revision.version, int)
assert isinstance(_value.quality.revision.real, int)
assert _value.quality.revision.isRepack is True
assert _value.mediaInfo.audioFormat == "string"
assert isinstance(_value.mediaInfo.audioBitrate, int)
assert isinstance(_value.mediaInfo.audioChannels, float)
assert isinstance(_value.mediaInfo.audioBits, int)
assert isinstance(_value.mediaInfo.audioSampleRate, int)
assert isinstance(_value.editionId, int)
assert isinstance(_value.calibreId, int)
assert isinstance(_value.part, int)
assert isinstance(_value.author.value.id, int)
assert isinstance(_value.author.value.authorMetadataId, int)
assert _value.author.value.cleanName == "string"
assert _value.author.value.monitored is True
assert _value.author.value.lastInfoSync == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _value.author.value.path == "string"
assert _value.author.value.rootFolderPath == "string"
assert _value.author.value.added == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert isinstance(_value.author.value.qualityProfileId, int)
assert isinstance(_value.author.value.metadataProfileId, int)
assert isinstance(_value.author.value.tags[0], int)
assert _value.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.author.value.addOptions.booksToMonitor[0] == "string"
assert _value.author.value.addOptions.monitored is True
assert _value.author.value.addOptions.searchForMissingBooks is True
_valu = _value.author.value.metadata.value
assert isinstance(_valu.id, int)
assert _valu.foreignAuthorId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.name == "string"
assert _valu.sortName == "string"
assert _valu.nameLastFirst == "string"
assert _valu.sortNameLastFirst == "string"
assert _valu.aliases[0] == "string"
assert _valu.overview == "string"
assert _valu.disambiguation == "string"
assert _valu.gender == "string"
assert _valu.hometown == "string"
assert _valu.born == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _valu.died == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _valu.status == "string"
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert _valu.genres[0] == "string"
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, int)
assert _value.author.value.metadata.isLoaded is True
assert isinstance(_value.author.value.qualityProfile.value.id, int)
assert _value.author.value.qualityProfile.value.name == "string"
assert _value.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_value.author.value.qualityProfile.value.items[0].id, int)
assert _value.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.author.value.qualityProfile.value.items[0].quality.id, int)
assert _value.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _value.author.value.qualityProfile.value.items[0].items == [None]
assert _value.author.value.qualityProfile.value.items[0].allowed is True
assert _value.author.value.qualityProfile.isLoaded is True
assert isinstance(_value.author.value.metadataProfile.value.id, int)
assert _value.author.value.metadataProfile.value.name == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPopularity, int)
assert _value.author.value.metadataProfile.value.skipMissingDate is True
assert _value.author.value.metadataProfile.value.skipMissingIsbn is True
assert _value.author.value.metadataProfile.value.skipPartsAndSets is True
assert _value.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _value.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPages, int)
assert _value.author.value.metadataProfile.value.ignored == "string"
assert _value.author.value.metadataProfile.isLoaded is True
assert _value.author.value.books.value == [None]
assert _value.author.value.books.isLoaded is True
assert isinstance(_value.author.value.series.value[0].id, int)
assert _value.author.value.series.value[0].foreignSeriesId == "string"
assert _value.author.value.series.value[0].title == "string"
assert _value.author.value.series.value[0].description == "string"
assert _value.author.value.series.value[0].numbered is True
assert isinstance(_value.author.value.series.value[0].workCount, int)
assert isinstance(_value.author.value.series.value[0].primaryWorkCount, int)
assert _value.author.value.series.value[0].books.value == [None]
assert _value.author.value.series.value[0].books.isLoaded is True
assert _value.author.value.series.value[0].foreignAuthorId == "string"
assert _value.author.value.series.isLoaded is True
assert _value.author.value.name == "string"
assert _value.author.isLoaded is True
assert _value.edition.isLoaded is True
assert isinstance(_value.partCount, int)
assert _book.editions.value[0].bookFiles.isLoaded is True
assert _book.editions.isLoaded is True
_val = _book.bookFiles.value[0]
assert isinstance(_val.id, int)
assert _val.path == "string"
assert isinstance(_val.size, int)
assert _val.modified == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _val.dateAdded == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _val.sceneName == "string"
assert _val.releaseGroup == "string"
assert isinstance(_val.quality.quality.id, int)
assert _val.quality.quality.name == "string"
assert isinstance(_val.quality.revision.version, int)
assert isinstance(_val.quality.revision.real, int)
assert _val.quality.revision.isRepack is True
assert _val.mediaInfo.audioFormat == "string"
assert isinstance(_val.mediaInfo.audioBitrate, int)
assert isinstance(_val.mediaInfo.audioChannels, float)
assert isinstance(_val.mediaInfo.audioBits, int)
assert isinstance(_val.mediaInfo.audioSampleRate, int)
assert isinstance(_val.editionId, int)
assert isinstance(_val.calibreId, int)
assert isinstance(_val.part, int)
_author = _val.author
assert isinstance(_author.value.id, int)
assert isinstance(_author.value.authorMetadataId, int)
assert _author.value.cleanName == "string"
assert _author.value.monitored is True
assert _author.value.lastInfoSync == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _author.value.path == "string"
assert _author.value.rootFolderPath == "string"
assert _author.value.added == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert isinstance(_author.value.qualityProfileId, int)
assert isinstance(_author.value.metadataProfileId, int)
assert isinstance(_author.value.tags[0], int)
assert _author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _author.value.addOptions.booksToMonitor[0] == "string"
assert _author.value.addOptions.monitored is True
assert _author.value.addOptions.searchForMissingBooks is True
_val = _author.value.metadata.value
assert isinstance(_val.id, int)
assert _val.foreignAuthorId == "string"
assert isinstance(_val.titleSlug, int)
assert _val.name == "string"
assert _val.sortName == "string"
assert _val.nameLastFirst == "string"
assert _val.sortNameLastFirst == "string"
assert _val.aliases[0] == "string"
assert _val.overview == "string"
assert _val.disambiguation == "string"
assert _val.gender == "string"
assert _val.hometown == "string"
assert _val.born == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _val.died == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert _val.status == "string"
assert _val.images[0].url == "string"
assert _val.images[0].coverType == ImageType.POSTER.value
assert _val.images[0].extension == "string"
assert _val.links[0].url == "string"
assert _val.links[0].name == "string"
assert _val.genres[0] == "string"
assert isinstance(_val.ratings.votes, int)
assert isinstance(_val.ratings.value, float)
assert isinstance(_val.ratings.popularity, int)
assert _author.value.metadata.isLoaded is True
assert isinstance(_author.value.qualityProfile.value.id, int)
assert _author.value.qualityProfile.value.name == "string"
assert _author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_author.value.qualityProfile.value.cutoff, int)
assert isinstance(_author.value.qualityProfile.value.items[0].id, int)
assert _author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_author.value.qualityProfile.value.items[0].quality.id, int)
assert _author.value.qualityProfile.value.items[0].quality.name == "string"
assert _author.value.qualityProfile.value.items[0].items == [None]
assert _author.value.qualityProfile.value.items[0].allowed is True
assert _author.value.qualityProfile.isLoaded is True
assert isinstance(_author.value.metadataProfile.value.id, int)
assert _author.value.metadataProfile.value.name == "string"
assert isinstance(_author.value.metadataProfile.value.minPopularity, int)
assert _author.value.metadataProfile.value.skipMissingDate is True
assert _author.value.metadataProfile.value.skipMissingIsbn is True
assert _author.value.metadataProfile.value.skipPartsAndSets is True
assert _author.value.metadataProfile.value.skipSeriesSecondary is True
assert _author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_author.value.metadataProfile.value.minPages, int)
assert _author.value.metadataProfile.value.ignored == "string"
assert _author.value.metadataProfile.isLoaded is True
assert _author.value.books.value == [None]
assert _author.value.books.isLoaded is True
assert isinstance(_author.value.series.value[0].id, int)
assert _author.value.series.value[0].foreignSeriesId == "string"
assert _author.value.series.value[0].title == "string"
assert _author.value.series.value[0].description == "string"
assert _author.value.series.value[0].numbered is True
assert isinstance(_author.value.series.value[0].workCount, int)
assert isinstance(_author.value.series.value[0].primaryWorkCount, int)
assert _author.value.series.value[0].books.value == [None]
assert _author.value.series.value[0].books.isLoaded is True
assert _author.value.series.value[0].foreignAuthorId == "string"
assert _author.value.series.isLoaded is True
assert _author.value.name == "string"
assert _author.value.foreignAuthorId == "string"
assert _author.isLoaded is True
assert _book.bookFiles.value[0].edition.isLoaded is True
assert isinstance(_book.bookFiles.value[0].partCount, int)
assert _book.bookFiles.isLoaded is True
assert isinstance(_book.seriesLinks.value[0].id, int)
assert _book.seriesLinks.value[0].position == "string"
assert isinstance(_book.seriesLinks.value[0].seriesId, int)
assert isinstance(_book.seriesLinks.value[0].bookId, int)
assert _book.seriesLinks.value[0].isPrimary is True
assert isinstance(_book.seriesLinks.value[0].series.value.id, int)
assert _book.seriesLinks.value[0].series.value.foreignSeriesId == "string"
assert _book.seriesLinks.value[0].series.value.title == "string"
assert _book.seriesLinks.value[0].series.value.description == "string"
assert _book.seriesLinks.value[0].series.value.numbered is True
assert isinstance(_book.seriesLinks.value[0].series.value.workCount, int)
assert isinstance(_book.seriesLinks.value[0].series.value.primaryWorkCount, int)
assert _book.seriesLinks.value[0].series.value.books.value == [None]
assert _book.seriesLinks.value[0].series.value.books.isLoaded is True
assert _book.seriesLinks.value[0].series.value.foreignAuthorId == "string"
assert _book.seriesLinks.value[0].series.isLoaded is True
assert _book.seriesLinks.value[0].book.isLoaded is True
assert _book.seriesLinks.isLoaded is True
assert data[0].author.images[0].url == "string"
assert data[0].author.images[0].coverType == ImageType.POSTER.value
assert data[0].author.images[0].extension == "string"
assert data[0].author.remotePoster == "string"
assert data[0].author.path == "string"
assert isinstance(data[0].author.qualityProfileId, int)
assert isinstance(data[0].author.metadataProfileId, int)
assert data[0].author.monitored is True
assert data[0].author.rootFolderPath == "string"
assert data[0].author.genres[0] == "string"
assert data[0].author.cleanName == "string"
assert data[0].author.sortName == "string"
assert data[0].author.sortNameLastFirst == "string"
assert isinstance(data[0].author.tags[0], int)
assert data[0].author.added == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert data[0].author.addOptions.monitor == MonitoringOptionsType.ALL.value
assert data[0].author.addOptions.booksToMonitor[0] == "string"
assert data[0].author.addOptions.monitored is True
assert data[0].author.addOptions.searchForMissingBooks is True
assert isinstance(data[0].author.ratings.votes, int)
assert isinstance(data[0].author.ratings.value, float)
assert isinstance(data[0].author.ratings.popularity, int)
assert isinstance(data[0].author.statistics.bookFileCount, int)
assert isinstance(data[0].author.statistics.bookCount, int)
assert isinstance(data[0].author.statistics.availableBookCount, int)
assert isinstance(data[0].author.statistics.totalBookCount, int)
assert isinstance(data[0].author.statistics.sizeOnDisk, int)
assert isinstance(data[0].author.statistics.percentOfBooks, float)
assert data[0].images[0].url == "string"
assert data[0].images[0].coverType == ImageType.POSTER.value
assert data[0].images[0].extension == "string"
assert data[0].links[0].url == "string"
assert data[0].links[0].name == "string"
assert isinstance(data[0].statistics.bookFileCount, int)
assert isinstance(data[0].statistics.bookCount, int)
assert isinstance(data[0].statistics.totalBookCount, int)
assert isinstance(data[0].statistics.sizeOnDisk, int)
assert isinstance(data[0].statistics.percentOfBooks, float)
assert data[0].added == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert data[0].addOptions.addType == AddTypes.AUTOMATIC.value
assert data[0].addOptions.searchForNewBook is True
assert data[0].remoteCover == "string"
assert isinstance(data[0].editions[0].id, int)
assert isinstance(data[0].editions[0].bookId, int)
assert data[0].editions[0].foreignEditionId == "string"
assert isinstance(data[0].editions[0].titleSlug, int)
assert data[0].editions[0].isbn13 == "string"
assert data[0].editions[0].asin == "string"
assert data[0].editions[0].title == "string"
assert data[0].editions[0].language == "string"
assert data[0].editions[0].overview == "string"
assert data[0].editions[0].format == "string"
assert data[0].editions[0].isEbook is True
assert data[0].editions[0].disambiguation == "string"
assert data[0].editions[0].publisher == "string"
assert isinstance(data[0].editions[0].pageCount, int)
assert data[0].editions[0].releaseDate == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert data[0].editions[0].images[0].url == "string"
assert data[0].editions[0].images[0].coverType == ImageType.POSTER.value
assert data[0].editions[0].images[0].extension == "string"
assert data[0].editions[0].links[0].url == "string"
assert data[0].editions[0].links[0].name == "string"
assert isinstance(data[0].editions[0].ratings.votes, int)
assert isinstance(data[0].editions[0].ratings.value, float)
assert isinstance(data[0].editions[0].ratings.popularity, int)
assert data[0].editions[0].monitored is True
assert data[0].editions[0].manualAdd is True
assert data[0].editions[0].remoteCover == "string"
assert data[0].editions[0].grabbed is True
assert data[0].grabbed is True
@pytest.mark.asyncio
async def test_async_get_wanted_missing(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test getting wanted and missing books."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/wanted/missing?sortKey=title&page=1&pageSize=10",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/wanted-missing.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_wanted_missing()
assert data.page == 1
assert data.pageSize == 10
assert data.sortKey == ReadarrSortKeys.BOOK_ID.value
assert data.sortDirection == SortDirection.DEFAULT.value
assert isinstance(data.totalRecords, int)
assert data.records[0].title == "string"
assert data.records[0].authorTitle == "string"
assert data.records[0].seriesTitle == "string"
assert data.records[0].disambiguation == "string"
assert data.records[0].overview == "string"
assert isinstance(data.records[0].authorId, int)
assert data.records[0].foreignBookId == "string"
assert isinstance(data.records[0].titleSlug, int)
assert data.records[0].monitored is True
assert data.records[0].anyEditionOk is True
assert isinstance(data.records[0].ratings.votes, int)
assert isinstance(data.records[0].ratings.value, float)
assert isinstance(data.records[0].ratings.popularity, float)
assert data.records[0].releaseDate == datetime(2021, 12, 11, 9, 30, 28, 339000)
assert isinstance(data.records[0].pageCount, int)
assert data.records[0].genres[0] == "string"
assert isinstance(data.records[0].author.authorMetadataId, int)
assert data.records[0].author.status == "string"
assert data.records[0].author.ended is False
assert data.records[0].author.authorName == "string"
assert data.records[0].author.authorNameLastFirst == "string"
assert data.records[0].author.foreignAuthorId == "string"
assert isinstance(data.records[0].author.titleSlug, int)
assert data.records[0].author.overview == "string"
assert data.records[0].author.links[0].url == "string"
assert data.records[0].author.links[0].name == "string"
assert data.records[0].author.images[0].url == "string"
assert data.records[0].author.images[0].coverType == ImageType.POSTER.value
assert data.records[0].author.images[0].extension == "string"
assert data.records[0].author.path == "string"
assert isinstance(data.records[0].author.qualityProfileId, int)
assert isinstance(data.records[0].author.metadataProfileId, int)
assert data.records[0].author.monitored is True
assert data.records[0].author.monitorNewItems == "string"
assert data.records[0].author.genres == ["string"]
assert data.records[0].author.cleanName == "string"
assert data.records[0].author.sortName == "string"
assert data.records[0].author.sortNameLastFirst == "string"
assert isinstance(data.records[0].author.tags[0], int)
assert data.records[0].author.added == datetime(2021, 12, 6, 22, 23, 55)
assert isinstance(data.records[0].author.ratings.votes, int)
assert isinstance(data.records[0].author.ratings.value, float)
assert isinstance(data.records[0].author.ratings.popularity, float)
assert isinstance(data.records[0].author.statistics.bookFileCount, int)
assert isinstance(data.records[0].author.statistics.bookCount, int)
assert isinstance(data.records[0].author.statistics.availableBookCount, int)
assert isinstance(data.records[0].author.statistics.totalBookCount, int)
assert isinstance(data.records[0].author.statistics.sizeOnDisk, int)
assert isinstance(data.records[0].author.statistics.percentOfBooks, float)
assert isinstance(data.records[0].author.id, int)
assert data.records[0].images[0].url == "string"
assert data.records[0].images[0].coverType == ImageType.POSTER.value
assert data.records[0].images[0].extension == "string"
assert data.records[0].links[0].url == "string"
assert data.records[0].links[0].name == "string"
assert isinstance(data.records[0].statistics.bookFileCount, int)
assert isinstance(data.records[0].statistics.bookCount, int)
assert isinstance(data.records[0].statistics.totalBookCount, int)
assert isinstance(data.records[0].statistics.sizeOnDisk, int)
assert isinstance(data.records[0].statistics.percentOfBooks, float)
assert data.records[0].added == datetime(2021, 12, 6, 22, 23, 58)
assert isinstance(data.records[0].editions[0].bookId, int)
assert data.records[0].editions[0].foreignEditionId == "string"
assert isinstance(data.records[0].editions[0].titleSlug, int)
assert data.records[0].editions[0].asin == "string"
assert data.records[0].editions[0].title == "string"
assert data.records[0].editions[0].language == "string"
assert data.records[0].editions[0].overview == "string"
assert data.records[0].editions[0].format == "string"
assert data.records[0].editions[0].isEbook is True
assert data.records[0].editions[0].disambiguation == "string"
assert data.records[0].editions[0].publisher == "string"
assert isinstance(data.records[0].editions[0].pageCount, int)
assert data.records[0].editions[0].releaseDate == datetime(2017, 3, 15, 0, 0)
assert data.records[0].editions[0].images[0].url == "string"
assert data.records[0].editions[0].images[0].coverType == ImageType.POSTER.value
assert data.records[0].editions[0].images[0].extension == "string"
assert data.records[0].editions[0].links[0].url == "string"
assert data.records[0].editions[0].links[0].name == "string"
assert isinstance(data.records[0].editions[0].ratings.votes, int)
assert isinstance(data.records[0].editions[0].ratings.value, float)
assert isinstance(data.records[0].editions[0].ratings.popularity, float)
assert data.records[0].editions[0].monitored is False
assert data.records[0].editions[0].manualAdd is False
assert data.records[0].editions[0].grabbed is False
assert isinstance(data.records[0].editions[0].id, int)
assert data.records[0].grabbed is False
assert isinstance(data.records[0].id, int)
@pytest.mark.asyncio
async def test_async_get_wanted_cutoff(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test getting wanted cutoff books."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/wanted/cutoff?sortKey=title&page=1&pageSize=10",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/wanted-cutoff.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_wanted_cutoff()
assert isinstance(data, ReadarrWantedCutoff)
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/wanted/cutoff/0?sortKey=title&page=1&pageSize=10",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_get_wanted_cutoff(0)
assert isinstance(data, ReadarrBook)
@pytest.mark.asyncio
async def test_async_get_history(aresponses, readarr_client: ReadarrClient) -> None:
"""Test getting history."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/history?page=1&pageSize=20&sortDirection=default&sortKey=books.releaseDate&eventType=1",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/history.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_history(event_type=ReadarrEventType.GRABBED)
assert isinstance(data.page, int)
assert isinstance(data.pageSize, int)
assert data.sortKey == ReadarrSortKeys.DATE.value
assert data.sortDirection == SortDirection.DESCENDING.value
assert isinstance(data.totalRecords, int)
assert isinstance(data.records[0].bookId, int)
assert isinstance(data.records[0].authorId, int)
assert data.records[0].sourceTitle == "string"
assert isinstance(data.records[0].quality.quality.id, int)
assert data.records[0].quality.quality.name == "EPUB"
assert isinstance(data.records[0].quality.revision.version, int)
assert isinstance(data.records[0].quality.revision.real, int)
assert data.records[0].quality.revision.isRepack is False
assert data.records[0].qualityCutoffNotMet is False
assert data.records[0].date == datetime(2021, 12, 31, 1, 13, 38)
assert data.records[0].downloadId == "string"
assert data.records[0].eventType == ReadarrEventType.GRABBED.name.lower()
assert data.records[0].data.indexer == "string"
assert data.records[0].data.nzbInfoUrl == "string"
assert data.records[0].data.releaseGroup is None
assert isinstance(data.records[0].data.age, int)
assert isinstance(data.records[0].data.ageHours, float)
assert isinstance(data.records[0].data.ageMinutes, float)
assert data.records[0].data.publishedDate == datetime(2020, 6, 6, 4, 0)
assert data.records[0].data.downloadClient == "string"
assert isinstance(data.records[0].data.size, int)
assert data.records[0].data.downloadUrl == "string"
assert data.records[0].data.guid == "string"
assert data.records[0].data.protocol is ProtocolType.UNKNOWN
assert data.records[0].data.downloadForced is False
assert data.records[0].data.torrentInfoHash == "string"
assert isinstance(data.records[0].data.fileId, int)
assert data.records[0].data.reason == "string"
assert data.records[0].data.droppedPath == "string"
assert data.records[0].data.importedPath == "string"
assert data.records[0].data.downloadClientName == "string"
assert isinstance(data.records[0].id, int)
@pytest.mark.asyncio
async def test_async_get_history_since(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test getting history."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/history/since?eventType=1&date=2020-11-30",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
date = datetime.strptime("Nov 30 2020 1:33PM", "%b %d %Y %I:%M%p")
data = await readarr_client.async_get_history_since(
event_type=ReadarrEventType.GRABBED, date=date
)
assert isinstance(data, ReadarrBookHistory)
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/history/author?authorId=0",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
await readarr_client.async_get_history_since(authorid=0)
with pytest.raises(ArrException):
await readarr_client.async_get_history_since()
@pytest.mark.asyncio
async def test_async_get_import_lists(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test getting import lists."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/importlist",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/importlist.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_import_lists()
assert data[0].enableAutomaticAdd is True
assert data[0].shouldMonitor == MonitoringOptionsType.ALL.value
assert data[0].shouldMonitorExisting is False
assert data[0].rootFolderPath == "string"
assert data[0].monitorNewItems == "string"
assert isinstance(data[0].qualityProfileId, int)
assert data[0].listType == "string"
assert isinstance(data[0].listOrder, int)
assert data[0].name == "string"
assert isinstance(data[0].fields[0].order, int)
assert data[0].fields[0].name == "string"
assert data[0].fields[0].label == "string"
assert data[0].fields[0].helpText == "string"
assert data[0].fields[0].value == ["string"]
assert data[0].fields[0].type == "string"
assert data[0].fields[0].advanced is False
assert data[0].fields[0].hidden == "string"
assert data[0].implementationName == "string"
assert data[0].implementation == "string"
assert data[0].configContract == "string"
assert data[0].infoLink == "string"
assert isinstance(data[0].tags[0], int)
assert isinstance(data[0].id, int)
@pytest.mark.asyncio
async def test_async_get_metadata_profiles(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test getting wanted cutoff books."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/metadataprofile",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/metadata-profile.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_metadata_profiles()
assert isinstance(data[0].id, int)
assert data[0].name == "string"
assert isinstance(data[0].minPages, int)
assert data[0].skipMissingDate is True
assert data[0].skipMissingIsbn is True
assert data[0].skipPartsAndSets is True
assert data[0].skipSeriesSecondary is True
assert data[0].allowedLanguages == "string"
assert isinstance(data[0].minPages, int)
assert data[0].ignored == "string"
@pytest.mark.asyncio
async def test_async_get_metadata_provider(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test getting metadata provider."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/config/metadataprovider",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/config-metadataprovider.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_metadata_provider()
assert data.scrubAudioTags is False
assert data.writeBookTags == "newFiles"
assert data.updateCovers is True
assert data.embedMetadata is False
assert data.id == 1
@pytest.mark.asyncio
async def test_async_get_naming_config(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test getting naming configuration."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/config/naming",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/config-naming.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_naming_config()
assert data.renameBooks is False
assert data.replaceIllegalCharacters is True
assert data.standardBookFormat == "string"
assert data.authorFolderFormat == "string"
assert data.includeAuthorName is False
assert data.includeBookTitle is False
assert data.includeQuality is False
assert data.replaceSpaces is False
assert data.id == 1
@pytest.mark.asyncio
async def test_async_get_notifications(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test getting notifications."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/notification",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/notification.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_notifications()
assert data[0].onGrab is True
assert data[0].onReleaseImport is True
assert data[0].onUpgrade is True
assert data[0].onRename is True
assert data[0].onHealthIssue is True
assert data[0].onDownloadFailure is True
assert data[0].onImportFailure is True
assert data[0].onBookRetag is True
assert data[0].supportsOnGrab is True
assert data[0].supportsOnReleaseImport is True
assert data[0].supportsOnUpgrade is True
assert data[0].supportsOnRename is True
assert data[0].supportsOnHealthIssue is True
assert data[0].includeHealthWarnings is False
assert data[0].supportsOnDownloadFailure is True
assert data[0].supportsOnImportFailure is True
assert data[0].supportsOnBookRetag is True
assert data[0].name == "string"
assert isinstance(data[0].fields[0].order, int)
assert data[0].fields[0].name == "string"
assert data[0].fields[0].label == "string"
assert data[0].fields[0].helpText == "string"
assert data[0].fields[0].value == "string"
assert data[0].fields[0].type == "string"
assert data[0].fields[0].advanced is False
assert data[0].implementationName == "string"
assert data[0].implementation == "string"
assert data[0].configContract == "string"
assert data[0].infoLink == "string"
assert isinstance(data[0].tags[0], int)
assert isinstance(data[0].id, int)
@pytest.mark.asyncio
async def test_async_parse(aresponses, readarr_client: ReadarrClient) -> None:
"""Test parsing book file name."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/parse?title=test",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/parse.json"),
),
match_querystring=True,
)
data = await readarr_client.async_parse("test")
assert isinstance(data.id, int)
assert data.title == "string"
assert data.parsedBookInfo.bookTitle == "string"
assert data.parsedBookInfo.authorName == "string"
assert data.parsedBookInfo.authorTitleInfo.title == "string"
assert data.parsedBookInfo.authorTitleInfo.titleWithoutYear == "string"
assert isinstance(data.parsedBookInfo.authorTitleInfo.year, int)
assert isinstance(data.parsedBookInfo.quality.quality.id, int)
assert data.parsedBookInfo.quality.quality.name == "string"
assert isinstance(data.parsedBookInfo.quality.revision.version, int)
assert isinstance(data.parsedBookInfo.quality.revision.real, int)
assert data.parsedBookInfo.quality.revision.isRepack is True
assert data.parsedBookInfo.releaseDate == datetime(2021, 12, 7, 8, 55, 41, 226000)
assert data.parsedBookInfo.discography is True
assert isinstance(data.parsedBookInfo.discographyStart, int)
assert isinstance(data.parsedBookInfo.discographyEnd, int)
assert data.parsedBookInfo.releaseGroup == "string"
assert data.parsedBookInfo.releaseHash == "string"
assert data.parsedBookInfo.releaseVersion == "string"
assert isinstance(data.author.id, int)
assert isinstance(data.author.authorMetadataId, int)
assert data.author.status == "string"
assert data.author.ended is True
assert data.author.authorName == "string"
assert data.author.authorNameLastFirst == "string"
assert data.author.foreignAuthorId == "string"
assert isinstance(data.author.titleSlug, int)
assert data.author.overview == "string"
assert data.author.links[0].url == "string"
assert data.author.links[0].name == "string"
_value = data.author.nextBook
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.foreignBookId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.title == "string"
assert _value.releaseDate == datetime(2020, 2, 6, 12, 49, 48, 602000)
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert _value.genres[0] == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, float)
assert _value.cleanTitle == "string"
assert _value.monitored is True
assert _value.anyEditionOk is True
assert _value.lastInfoSync == datetime(2020, 2, 6, 12, 49, 48, 602000)
assert _value.added == datetime(2020, 2, 6, 12, 49, 48, 602000)
assert _value.addOptions.addType == AddTypes.AUTOMATIC.value
assert _value.addOptions.searchForNewBook is True
assert isinstance(_value.authorMetadata.value.id, int)
assert _value.authorMetadata.value.foreignAuthorId == "string"
assert isinstance(_value.authorMetadata.value.titleSlug, int)
assert _value.authorMetadata.value.name == "string"
assert _value.authorMetadata.value.sortName == "string"
assert _value.authorMetadata.value.nameLastFirst == "string"
assert _value.authorMetadata.value.sortNameLastFirst == "string"
assert _value.authorMetadata.value.aliases == ["string"]
assert _value.authorMetadata.value.overview == "string"
assert _value.authorMetadata.value.gender == "string"
assert _value.authorMetadata.value.hometown == "string"
assert _value.authorMetadata.value.born == datetime(2020, 1, 6, 12, 49, 48, 602000)
assert _value.authorMetadata.value.died == datetime(2020, 1, 6, 12, 49, 48, 602000)
assert _value.authorMetadata.value.status == "string"
assert _value.authorMetadata.value.images[0].url == "string"
assert _value.authorMetadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.authorMetadata.value.images[0].extension == "string"
assert _value.authorMetadata.value.links[0].url == "string"
assert _value.authorMetadata.value.links[0].name == "string"
assert _value.authorMetadata.value.genres == ["string"]
assert isinstance(_value.authorMetadata.value.ratings.votes, int)
assert isinstance(_value.authorMetadata.value.ratings.value, float)
assert isinstance(_value.authorMetadata.value.ratings.popularity, float)
assert _value.authorMetadata.isLoaded is True
assert isinstance(_value.author.value.id, int)
assert isinstance(_value.author.value.authorMetadataId, int)
assert _value.author.value.cleanName == "string"
assert _value.author.value.monitored is True
assert _value.author.value.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 602000)
assert _value.author.value.path == "string"
assert _value.author.value.rootFolderPath == "string"
assert _value.author.value.added == datetime(2020, 1, 6, 12, 49, 48, 602000)
assert isinstance(_value.author.value.qualityProfileId, int)
assert isinstance(_value.author.value.metadataProfileId, int)
assert isinstance(_value.author.value.tags[0], int)
assert _value.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.author.value.addOptions.booksToMonitor == ["string"]
assert _value.author.value.addOptions.monitored is True
assert _value.author.value.addOptions.searchForMissingBooks is True
_val = _value.author.value.metadata
assert isinstance(_val.value.id, int)
assert _val.value.foreignAuthorId == "string"
assert isinstance(_val.value.titleSlug, int)
assert _val.value.name == "string"
assert _val.value.nameLastFirst == "string"
assert _val.value.sortNameLastFirst == "string"
assert _val.value.aliases == ["string"]
assert _val.value.overview == "string"
assert _val.value.gender == "string"
assert _val.value.hometown == "string"
assert _val.value.born == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _val.value.died == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _val.value.status == "string"
assert _val.value.images[0].url == "string"
assert _val.value.images[0].coverType == ImageType.POSTER.value
assert _val.value.images[0].extension == "string"
assert _val.value.links[0].url == "string"
assert _val.value.links[0].name == "string"
assert _val.value.genres == ["string"]
assert isinstance(_val.value.ratings.votes, int)
assert isinstance(_val.value.ratings.value, float)
assert isinstance(_val.value.ratings.popularity, float)
assert _val.isLoaded is True
assert isinstance(_value.author.value.qualityProfile.value.id, int)
assert _value.author.value.qualityProfile.value.name == "string"
assert _value.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_value.author.value.qualityProfile.value.items[0].id, int)
assert _value.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.author.value.qualityProfile.value.items[0].quality.id, int)
assert _value.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _value.author.value.qualityProfile.value.items[0].items == [None]
assert _value.author.value.qualityProfile.value.items[0].allowed is True
assert _value.author.value.qualityProfile.isLoaded is True
assert isinstance(_value.author.value.metadataProfile.value.id, int)
assert _value.author.value.metadataProfile.value.name == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPopularity, int)
assert _value.author.value.metadataProfile.value.skipMissingDate is True
assert _value.author.value.metadataProfile.value.skipMissingIsbn is True
assert _value.author.value.metadataProfile.value.skipPartsAndSets is True
assert _value.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _value.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPages, int)
assert _value.author.value.metadataProfile.value.ignored == "string"
assert _value.author.value.metadataProfile.isLoaded is True
assert _value.author.value.books.value == [None]
assert _value.author.value.books.isLoaded is True
assert isinstance(_value.author.value.series.value[0].id, int)
assert _value.author.value.series.value[0].foreignSeriesId == "string"
assert _value.author.value.series.value[0].title == "string"
assert _value.author.value.series.value[0].description == "string"
assert _value.author.value.series.value[0].numbered is True
assert isinstance(_value.author.value.series.value[0].workCount, int)
assert isinstance(_value.author.value.series.value[0].primaryWorkCount, int)
assert _value.author.value.series.value[0].books.value == [None]
assert _value.author.value.series.value[0].books.isLoaded is True
assert _value.author.value.series.value[0].foreignAuthorId == "string"
assert _value.author.value.series.isLoaded is True
assert _value.author.value.name == "string"
assert _value.author.value.foreignAuthorId == "string"
assert _value.author.isLoaded is True
_val = _value.editions.value[0]
assert isinstance(_val.id, int)
assert isinstance(_val.bookId, int)
assert _val.foreignEditionId == "string"
assert isinstance(_val.titleSlug, int)
assert _val.isbn13 == "string"
assert _val.asin == "string"
assert _val.title == "string"
assert _val.language == "string"
assert _val.overview == "string"
assert _val.format == "string"
assert _val.isEbook is True
assert _val.publisher == "string"
assert isinstance(_val.pageCount, int)
assert _val.releaseDate == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _val.images[0].url == "string"
assert _val.images[0].coverType == ImageType.POSTER.value
assert _val.images[0].extension == "string"
assert _val.links[0].url == "string"
assert _val.links[0].name == "string"
assert isinstance(_val.ratings.votes, int)
assert isinstance(_val.ratings.value, float)
assert isinstance(_val.ratings.popularity, float)
assert _val.monitored is True
assert _val.manualAdd is True
assert _val.book.isLoaded is True
assert isinstance(_val.bookFiles.value[0].id, int)
assert _val.bookFiles.value[0].path == "string"
assert isinstance(_val.bookFiles.value[0].size, int)
assert _val.bookFiles.value[0].modified == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _val.bookFiles.value[0].dateAdded == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _val.bookFiles.value[0].sceneName == "string"
assert _val.bookFiles.value[0].releaseGroup == "string"
assert isinstance(_val.bookFiles.value[0].quality.quality.id, int)
assert _val.bookFiles.value[0].quality.quality.name == "string"
assert isinstance(_val.bookFiles.value[0].quality.revision.version, int)
assert isinstance(_val.bookFiles.value[0].quality.revision.real, int)
assert _val.bookFiles.value[0].quality.revision.isRepack is True
assert _val.bookFiles.value[0].mediaInfo.audioFormat == "string"
assert isinstance(_val.bookFiles.value[0].mediaInfo.audioBitrate, int)
assert isinstance(_val.bookFiles.value[0].mediaInfo.audioChannels, float)
assert isinstance(_val.bookFiles.value[0].mediaInfo.audioBits, int)
assert isinstance(_val.bookFiles.value[0].mediaInfo.audioSampleRate, int)
assert isinstance(_val.bookFiles.value[0].editionId, int)
assert isinstance(_val.bookFiles.value[0].calibreId, int)
assert isinstance(_val.bookFiles.value[0].part, int)
_valu = _val.bookFiles.value[0].author.value
assert isinstance(_valu.id, int)
assert isinstance(_valu.authorMetadataId, int)
assert _valu.cleanName == "string"
assert _valu.monitored is True
assert _valu.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.path == "string"
assert _valu.rootFolderPath == "string"
assert _valu.added == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert isinstance(_valu.qualityProfileId, int)
assert isinstance(_valu.metadataProfileId, int)
assert isinstance(_valu.tags[0], int)
assert _valu.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _valu.addOptions.booksToMonitor == ["string"]
assert _valu.addOptions.monitored is True
assert _valu.addOptions.searchForMissingBooks is True
assert isinstance(_valu.metadata.value.id, int)
assert _valu.metadata.value.foreignAuthorId == "string"
assert isinstance(_valu.metadata.value.titleSlug, int)
assert _valu.metadata.value.name == "string"
assert _valu.metadata.value.sortName == "string"
assert _valu.metadata.value.nameLastFirst == "string"
assert _valu.metadata.value.sortNameLastFirst == "string"
assert _valu.metadata.value.aliases == ["string"]
assert _valu.metadata.value.overview == "string"
assert _valu.metadata.value.gender == "string"
assert _valu.metadata.value.hometown == "string"
assert _valu.metadata.value.born == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.metadata.value.died == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.metadata.value.status == "string"
assert _valu.metadata.value.images[0].url == "string"
assert _valu.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _valu.metadata.value.images[0].extension == "string"
assert _valu.metadata.value.links[0].url == "string"
assert _valu.metadata.value.links[0].name == "string"
assert _valu.metadata.value.genres == ["string"]
assert isinstance(_valu.metadata.value.ratings.votes, int)
assert isinstance(_valu.metadata.value.ratings.value, float)
assert isinstance(_valu.metadata.value.ratings.popularity, float)
assert _valu.metadata.isLoaded is True
assert isinstance(_valu.qualityProfile.value.id, int)
assert _valu.qualityProfile.value.name == "string"
assert _valu.qualityProfile.value.upgradeAllowed is True
assert isinstance(_valu.qualityProfile.value.cutoff, int)
assert isinstance(_valu.qualityProfile.value.items[0].id, int)
assert _valu.qualityProfile.value.items[0].name == "string"
assert isinstance(_valu.qualityProfile.value.items[0].quality.id, int)
assert _valu.qualityProfile.value.items[0].quality.name == "string"
assert _valu.qualityProfile.value.items[0].items == [None]
assert _valu.qualityProfile.value.items[0].allowed is True
assert _valu.qualityProfile.isLoaded is True
assert isinstance(_valu.metadataProfile.value.id, int)
assert _valu.metadataProfile.value.name == "string"
assert isinstance(_valu.metadataProfile.value.minPopularity, int)
assert _valu.metadataProfile.value.skipMissingDate is True
assert _valu.metadataProfile.value.skipMissingIsbn is True
assert _valu.metadataProfile.value.skipPartsAndSets is True
assert _valu.metadataProfile.value.skipSeriesSecondary is True
assert _valu.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_valu.metadataProfile.value.minPages, int)
assert _valu.metadataProfile.value.ignored == "string"
assert _valu.metadataProfile.isLoaded is True
assert _valu.books.value == [None]
assert _valu.books.isLoaded is True
assert isinstance(_valu.series.value[0].id, int)
assert _valu.series.value[0].foreignSeriesId == "string"
assert _valu.series.value[0].title == "string"
assert _valu.series.value[0].description == "string"
assert _valu.series.value[0].numbered is True
assert isinstance(_valu.series.value[0].workCount, int)
assert isinstance(_valu.series.value[0].primaryWorkCount, int)
assert _valu.series.value[0].books.value == [None]
assert _valu.series.value[0].books.isLoaded is True
assert _valu.series.value[0].foreignAuthorId == "string"
assert _valu.series.isLoaded is True
assert _valu.name == "string"
assert _valu.foreignAuthorId == "string"
assert _val.bookFiles.value[0].author.isLoaded is True
assert _val.bookFiles.value[0].edition.isLoaded is True
assert isinstance(_val.bookFiles.value[0].partCount, int)
assert _val.bookFiles.isLoaded is True
assert _value.editions.isLoaded is True
_valu = _value.bookFiles.value[0]
assert isinstance(_valu.id, int)
assert _valu.path == "string"
assert isinstance(_valu.size, int)
assert _valu.modified == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.dateAdded == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.sceneName == "string"
assert _valu.releaseGroup == "string"
assert isinstance(_valu.quality.quality.id, int)
assert _valu.quality.quality.name == "string"
assert isinstance(_valu.quality.revision.version, int)
assert isinstance(_valu.quality.revision.real, int)
assert _valu.quality.revision.isRepack is True
assert _valu.mediaInfo.audioFormat == "string"
assert isinstance(_valu.mediaInfo.audioBitrate, int)
assert isinstance(_valu.mediaInfo.audioChannels, float)
assert isinstance(_valu.mediaInfo.audioBits, int)
assert isinstance(_valu.mediaInfo.audioSampleRate, int)
assert isinstance(_valu.editionId, int)
assert isinstance(_valu.calibreId, int)
assert isinstance(_valu.part, int)
_valu = _value.bookFiles.value[0].author.value
assert isinstance(_valu.id, int)
assert isinstance(_valu.authorMetadataId, int)
assert _valu.cleanName == "string"
assert _valu.monitored is True
assert _valu.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.path == "string"
assert _valu.rootFolderPath == "string"
assert _valu.added == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert isinstance(_valu.qualityProfileId, int)
assert isinstance(_valu.metadataProfileId, int)
assert isinstance(_valu.tags[0], int)
assert _valu.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _valu.addOptions.booksToMonitor == ["string"]
assert _valu.addOptions.monitored is True
assert _valu.addOptions.searchForMissingBooks is True
assert isinstance(_valu.metadata.value.id, int)
assert _valu.metadata.value.foreignAuthorId == "string"
assert isinstance(_valu.metadata.value.titleSlug, int)
assert _valu.metadata.value.name == "string"
assert _valu.metadata.value.sortName == "string"
assert _valu.metadata.value.nameLastFirst == "string"
assert _valu.metadata.value.sortNameLastFirst == "string"
assert _valu.metadata.value.aliases == ["string"]
assert _valu.metadata.value.overview == "string"
assert _valu.metadata.value.gender == "string"
assert _valu.metadata.value.hometown == "string"
assert _valu.metadata.value.born == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.metadata.value.died == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.metadata.value.status == "string"
assert _valu.metadata.value.images[0].url == "string"
assert _valu.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _valu.metadata.value.images[0].extension == "string"
assert _valu.metadata.value.links[0].url == "string"
assert _valu.metadata.value.links[0].name == "string"
assert _valu.metadata.value.genres == ["string"]
assert isinstance(_valu.metadata.value.ratings.votes, int)
assert isinstance(_valu.metadata.value.ratings.value, float)
assert isinstance(_valu.metadata.value.ratings.popularity, float)
assert _valu.metadata.isLoaded is True
assert isinstance(_valu.qualityProfile.value.id, int)
assert _valu.qualityProfile.value.name == "string"
assert _valu.qualityProfile.value.upgradeAllowed is True
assert isinstance(_valu.qualityProfile.value.cutoff, int)
assert isinstance(_valu.qualityProfile.value.items[0].id, int)
assert _valu.qualityProfile.value.items[0].name == "string"
assert isinstance(_valu.qualityProfile.value.items[0].quality.id, int)
assert _valu.qualityProfile.value.items[0].quality.name == "string"
assert _valu.qualityProfile.value.items[0].items == [None]
assert _valu.qualityProfile.value.items[0].allowed is True
assert _valu.qualityProfile.isLoaded is True
assert isinstance(_valu.metadataProfile.value.id, int)
assert _valu.metadataProfile.value.name == "string"
assert isinstance(_valu.metadataProfile.value.minPopularity, int)
assert _valu.metadataProfile.value.skipMissingDate is True
assert _valu.metadataProfile.value.skipMissingIsbn is True
assert _valu.metadataProfile.value.skipPartsAndSets is True
assert _valu.metadataProfile.value.skipSeriesSecondary is True
assert _valu.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_valu.metadataProfile.value.minPages, int)
assert _valu.metadataProfile.value.ignored == "string"
assert _valu.metadataProfile.isLoaded is True
assert _valu.books.value == [None]
assert _valu.books.isLoaded is True
assert isinstance(_valu.series.value[0].id, int)
assert _valu.series.value[0].foreignSeriesId == "string"
assert _valu.series.value[0].title == "string"
assert _valu.series.value[0].description == "string"
assert _valu.series.value[0].numbered is True
assert isinstance(_valu.series.value[0].workCount, int)
assert isinstance(_valu.series.value[0].primaryWorkCount, int)
assert _valu.series.value[0].books.value == [None]
assert _valu.series.value[0].books.isLoaded is True
assert _valu.series.value[0].foreignAuthorId == "string"
assert _valu.series.isLoaded is True
assert _valu.name == "string"
assert _valu.foreignAuthorId == "string"
assert _value.bookFiles.value[0].author.isLoaded is True
assert _value.bookFiles.value[0].edition.isLoaded is True
assert isinstance(_value.bookFiles.value[0].partCount, int)
assert _value.bookFiles.isLoaded is True
assert isinstance(_value.seriesLinks.value[0].id, int)
assert _value.seriesLinks.value[0].position == "string"
assert isinstance(_value.seriesLinks.value[0].seriesId, int)
assert isinstance(_value.seriesLinks.value[0].bookId, int)
assert _value.seriesLinks.value[0].isPrimary is True
assert isinstance(_value.seriesLinks.value[0].series.value.id, int)
assert _value.seriesLinks.value[0].series.value.foreignSeriesId == "string"
assert _value.seriesLinks.value[0].series.value.title == "string"
assert _value.seriesLinks.value[0].series.value.description == "string"
assert _value.seriesLinks.value[0].series.value.numbered is True
assert isinstance(_value.seriesLinks.value[0].series.value.workCount, int)
assert isinstance(_value.seriesLinks.value[0].series.value.primaryWorkCount, int)
assert _value.seriesLinks.value[0].series.value.books.value == [None]
assert _value.seriesLinks.value[0].series.value.books.isLoaded is True
assert _value.seriesLinks.value[0].series.value.foreignAuthorId == "string"
assert _value.seriesLinks.value[0].series.isLoaded is True
assert _value.seriesLinks.value[0].book.isLoaded is True
assert _value.seriesLinks.isLoaded is True
assert isinstance(data.author.lastBook.id, int)
assert isinstance(data.author.lastBook.authorMetadataId, int)
assert data.author.lastBook.foreignBookId == "string"
assert isinstance(data.author.lastBook.titleSlug, int)
assert data.author.lastBook.title == "string"
assert data.author.lastBook.releaseDate == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert data.author.lastBook.links[0].url == "string"
assert data.author.lastBook.links[0].name == "string"
assert data.author.lastBook.genres[0] == "string"
assert isinstance(data.author.lastBook.ratings.votes, int)
assert isinstance(data.author.lastBook.ratings.value, float)
assert isinstance(data.author.lastBook.ratings.popularity, float)
assert data.author.lastBook.cleanTitle == "string"
assert data.author.lastBook.monitored is True
assert data.author.lastBook.anyEditionOk is True
assert data.author.lastBook.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert data.author.lastBook.added == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert data.author.lastBook.addOptions.addType == AddTypes.AUTOMATIC.value
assert data.author.lastBook.addOptions.searchForNewBook is True
_value = data.author.lastBook
assert isinstance(_value.authorMetadata.value.id, int)
assert _value.authorMetadata.value.foreignAuthorId == "string"
assert isinstance(_value.authorMetadata.value.titleSlug, int)
assert _value.authorMetadata.value.name == "string"
assert _value.authorMetadata.value.sortName == "string"
assert _value.authorMetadata.value.nameLastFirst == "string"
assert _value.authorMetadata.value.sortNameLastFirst == "string"
assert _value.authorMetadata.value.aliases == ["string"]
assert _value.authorMetadata.value.overview == "string"
assert _value.authorMetadata.value.gender == "string"
assert _value.authorMetadata.value.hometown == "string"
assert _value.authorMetadata.value.born == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _value.authorMetadata.value.died == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _value.authorMetadata.value.status == "string"
assert _value.authorMetadata.value.images[0].url == "string"
assert _value.authorMetadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.authorMetadata.value.images[0].extension == "string"
assert _value.authorMetadata.value.links[0].url == "string"
assert _value.authorMetadata.value.links[0].name == "string"
assert _value.authorMetadata.value.genres == ["string"]
assert isinstance(_value.authorMetadata.value.ratings.votes, int)
assert isinstance(_value.authorMetadata.value.ratings.value, float)
assert isinstance(_value.authorMetadata.value.ratings.popularity, float)
assert _value.authorMetadata.isLoaded is True
assert isinstance(_value.author.value.id, int)
assert isinstance(_value.author.value.authorMetadataId, int)
assert _value.author.value.cleanName == "string"
assert _value.author.value.monitored is True
assert _value.author.value.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _value.author.value.path == "string"
assert _value.author.value.rootFolderPath == "string"
assert _value.author.value.added == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert isinstance(_value.author.value.qualityProfileId, int)
assert isinstance(_value.author.value.metadataProfileId, int)
assert isinstance(_value.author.value.tags[0], int)
assert _value.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.author.value.addOptions.booksToMonitor == ["string"]
assert _value.author.value.addOptions.monitored is True
assert _value.author.value.addOptions.searchForMissingBooks is True
_valu = _value.author.value.metadata.value
assert isinstance(_valu.id, int)
assert _valu.foreignAuthorId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.name == "string"
assert _valu.nameLastFirst == "string"
assert _valu.sortNameLastFirst == "string"
assert _valu.aliases == ["string"]
assert _valu.overview == "string"
assert _valu.gender == "string"
assert _valu.hometown == "string"
assert _valu.born == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.died == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.status == "string"
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert _valu.genres == ["string"]
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, float)
assert _value.author.value.metadata.isLoaded is True
assert isinstance(_value.author.value.qualityProfile.value.id, int)
assert _value.author.value.qualityProfile.value.name == "string"
assert _value.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_value.author.value.qualityProfile.value.items[0].id, int)
assert _value.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.author.value.qualityProfile.value.items[0].quality.id, int)
assert _value.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _value.author.value.qualityProfile.value.items[0].items == [None]
assert _value.author.value.qualityProfile.value.items[0].allowed is True
assert _value.author.value.qualityProfile.isLoaded is True
assert isinstance(_value.author.value.metadataProfile.value.id, int)
assert _value.author.value.metadataProfile.value.name == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPopularity, int)
assert _value.author.value.metadataProfile.value.skipMissingDate is True
assert _value.author.value.metadataProfile.value.skipMissingIsbn is True
assert _value.author.value.metadataProfile.value.skipPartsAndSets is True
assert _value.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _value.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.author.value.metadataProfile.value.minPages, int)
assert _value.author.value.metadataProfile.value.ignored == "string"
assert _value.author.value.metadataProfile.isLoaded is True
assert _value.author.value.books.value == [None]
assert _value.author.value.books.isLoaded is True
assert isinstance(_value.author.value.series.value[0].id, int)
assert _value.author.value.series.value[0].foreignSeriesId == "string"
assert _value.author.value.series.value[0].title == "string"
assert _value.author.value.series.value[0].description == "string"
assert _value.author.value.series.value[0].numbered is True
assert isinstance(_value.author.value.series.value[0].workCount, int)
assert isinstance(_value.author.value.series.value[0].primaryWorkCount, int)
assert _value.author.value.series.value[0].books.value == [None]
assert _value.author.value.series.value[0].books.isLoaded is True
assert _value.author.value.series.value[0].foreignAuthorId == "string"
assert _value.author.value.series.isLoaded is True
assert _value.author.value.name == "string"
assert _value.author.value.foreignAuthorId == "string"
assert _value.author.isLoaded is True
_valu = _value.editions.value[0]
assert isinstance(_valu.id, int)
assert isinstance(_valu.bookId, int)
assert _valu.foreignEditionId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.isbn13 == "string"
assert _valu.asin == "string"
assert _valu.title == "string"
assert _valu.language == "string"
assert _valu.overview == "string"
assert _valu.format == "string"
assert _valu.isEbook is True
assert _valu.publisher == "string"
assert isinstance(_valu.pageCount, int)
assert _valu.releaseDate == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, float)
assert _valu.monitored is True
assert _valu.manualAdd is True
assert _valu.book.isLoaded is True
_val = _valu.bookFiles.value[0]
assert isinstance(_val.id, int)
assert _val.path == "string"
assert isinstance(_val.size, int)
assert _val.modified == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _val.dateAdded == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _val.sceneName == "string"
assert _val.releaseGroup == "string"
assert isinstance(_val.quality.quality.id, int)
assert _val.quality.quality.name == "string"
assert isinstance(_val.quality.revision.version, int)
assert isinstance(_val.quality.revision.real, int)
assert _val.quality.revision.isRepack is True
assert _val.mediaInfo.audioFormat == "string"
assert isinstance(_val.mediaInfo.audioBitrate, int)
assert isinstance(_val.mediaInfo.audioChannels, float)
assert isinstance(_val.mediaInfo.audioBits, int)
assert isinstance(_val.mediaInfo.audioSampleRate, int)
assert isinstance(_val.editionId, int)
assert isinstance(_val.calibreId, int)
assert isinstance(_val.part, int)
assert isinstance(_val.author.value.id, int)
assert isinstance(_val.author.value.authorMetadataId, int)
assert _val.author.value.cleanName == "string"
assert _val.author.value.monitored is True
assert _val.author.value.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _val.author.value.path == "string"
assert _val.author.value.rootFolderPath == "string"
assert _val.author.value.added == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert isinstance(_val.author.value.qualityProfileId, int)
assert isinstance(_val.author.value.metadataProfileId, int)
assert isinstance(_val.author.value.tags[0], int)
assert _val.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _val.author.value.addOptions.booksToMonitor == ["string"]
assert _val.author.value.addOptions.monitored is True
assert _val.author.value.addOptions.searchForMissingBooks is True
assert _val.author.value.addOptions.searchForMissingBooks is True
_va = _val.author.value.metadata.value
assert isinstance(_va.id, int)
assert _va.foreignAuthorId == "string"
assert isinstance(_va.titleSlug, int)
assert _va.name == "string"
assert _va.sortName == "string"
assert _va.nameLastFirst == "string"
assert _va.sortNameLastFirst == "string"
assert _va.aliases == ["string"]
assert _va.overview == "string"
assert _va.gender == "string"
assert _va.hometown == "string"
assert _va.born == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _va.died == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _va.status == "string"
assert _va.images[0].url == "string"
assert _va.images[0].coverType == ImageType.POSTER.value
assert _va.images[0].extension == "string"
assert _va.links[0].url == "string"
assert _va.links[0].name == "string"
assert _va.genres == ["string"]
assert isinstance(_va.ratings.votes, int)
assert isinstance(_va.ratings.value, float)
assert isinstance(_va.ratings.popularity, float)
assert _val.author.value.metadata.isLoaded is True
assert isinstance(_val.author.value.qualityProfile.value.id, int)
assert _val.author.value.qualityProfile.value.name == "string"
assert _val.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_val.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_val.author.value.qualityProfile.value.items[0].id, int)
assert _val.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_val.author.value.qualityProfile.value.items[0].quality.id, int)
assert _val.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _val.author.value.qualityProfile.value.items[0].items == [None]
assert _val.author.value.qualityProfile.value.items[0].allowed is True
assert _val.author.value.qualityProfile.isLoaded is True
assert isinstance(_val.author.value.metadataProfile.value.id, int)
assert _val.author.value.metadataProfile.value.name == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPopularity, int)
assert _val.author.value.metadataProfile.value.skipMissingDate is True
assert _val.author.value.metadataProfile.value.skipMissingIsbn is True
assert _val.author.value.metadataProfile.value.skipPartsAndSets is True
assert _val.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _val.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPages, int)
assert _val.author.value.metadataProfile.value.ignored == "string"
assert _val.author.value.metadataProfile.isLoaded is True
assert _val.author.value.books.value == [None]
assert _val.author.value.books.isLoaded is True
assert isinstance(_val.author.value.series.value[0].id, int)
assert _val.author.value.series.value[0].foreignSeriesId == "string"
assert _val.author.value.series.value[0].title == "string"
assert _val.author.value.series.value[0].description == "string"
assert _val.author.value.series.value[0].numbered is True
assert isinstance(_val.author.value.series.value[0].workCount, int)
assert isinstance(_val.author.value.series.value[0].primaryWorkCount, int)
assert _val.author.value.series.value[0].books.value == [None]
assert _val.author.value.series.value[0].books.isLoaded is True
assert _val.author.value.series.value[0].foreignAuthorId == "string"
assert _val.author.value.series.isLoaded is True
assert _val.author.value.name == "string"
assert _val.author.value.foreignAuthorId == "string"
assert _val.author.isLoaded is True
assert _val.edition.isLoaded is True
assert isinstance(_val.partCount, int)
assert _valu.bookFiles.isLoaded is True
assert _value.editions.isLoaded is True
_valu = _value.bookFiles.value[0]
assert isinstance(_valu.id, int)
assert _valu.path == "string"
assert isinstance(_valu.size, int)
assert _valu.modified == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.dateAdded == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.sceneName == "string"
assert _valu.releaseGroup == "string"
assert isinstance(_valu.quality.quality.id, int)
assert _valu.quality.quality.name == "string"
assert isinstance(_valu.quality.revision.version, int)
assert isinstance(_valu.quality.revision.real, int)
assert _valu.quality.revision.isRepack is True
assert _valu.mediaInfo.audioFormat == "string"
assert isinstance(_valu.mediaInfo.audioBitrate, int)
assert isinstance(_valu.mediaInfo.audioChannels, float)
assert isinstance(_valu.mediaInfo.audioBits, int)
assert isinstance(_valu.mediaInfo.audioSampleRate, int)
assert isinstance(_valu.editionId, int)
assert isinstance(_valu.calibreId, int)
assert isinstance(_valu.part, int)
_val = _valu.author.value
assert isinstance(_val.id, int)
assert isinstance(_val.authorMetadataId, int)
assert _val.cleanName == "string"
assert _val.monitored is True
assert _val.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _val.path == "string"
assert _val.rootFolderPath == "string"
assert _val.added == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert isinstance(_val.qualityProfileId, int)
assert isinstance(_val.metadataProfileId, int)
assert isinstance(_val.tags[0], int)
assert _val.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _val.addOptions.booksToMonitor == ["string"]
assert _val.addOptions.monitored is True
assert _val.addOptions.searchForMissingBooks is True
assert isinstance(_val.metadata.value.id, int)
assert _val.metadata.value.foreignAuthorId == "string"
assert isinstance(_val.metadata.value.titleSlug, int)
assert _val.metadata.value.name == "string"
assert _val.metadata.value.sortName == "string"
assert _val.metadata.value.nameLastFirst == "string"
assert _val.metadata.value.sortNameLastFirst == "string"
assert _val.metadata.value.aliases == ["string"]
assert _val.metadata.value.overview == "string"
assert _val.metadata.value.gender == "string"
assert _val.metadata.value.hometown == "string"
assert _val.metadata.value.born == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _val.metadata.value.died == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _val.metadata.value.status == "string"
assert _val.metadata.value.images[0].url == "string"
assert _val.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _val.metadata.value.images[0].extension == "string"
assert _val.metadata.value.links[0].url == "string"
assert _val.metadata.value.links[0].name == "string"
assert _val.metadata.value.genres == ["string"]
assert isinstance(_val.metadata.value.ratings.votes, int)
assert isinstance(_val.metadata.value.ratings.value, float)
assert isinstance(_val.metadata.value.ratings.popularity, float)
assert _val.metadata.isLoaded is True
assert isinstance(_val.qualityProfile.value.id, int)
assert _val.qualityProfile.value.name == "string"
assert _val.qualityProfile.value.upgradeAllowed is True
assert isinstance(_val.qualityProfile.value.cutoff, int)
assert isinstance(_val.qualityProfile.value.items[0].id, int)
assert _val.qualityProfile.value.items[0].name == "string"
assert isinstance(_val.qualityProfile.value.items[0].quality.id, int)
assert _val.qualityProfile.value.items[0].quality.name == "string"
assert _val.qualityProfile.value.items[0].items == [None]
assert _val.qualityProfile.value.items[0].allowed is True
assert _val.qualityProfile.isLoaded is True
assert isinstance(_val.metadataProfile.value.id, int)
assert _val.metadataProfile.value.name == "string"
assert isinstance(_val.metadataProfile.value.minPopularity, int)
assert _val.metadataProfile.value.skipMissingDate is True
assert _val.metadataProfile.value.skipMissingIsbn is True
assert _val.metadataProfile.value.skipPartsAndSets is True
assert _val.metadataProfile.value.skipSeriesSecondary is True
assert _val.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_val.metadataProfile.value.minPages, int)
assert _val.metadataProfile.value.ignored == "string"
assert _val.metadataProfile.isLoaded is True
assert _val.books.value == [None]
assert _val.books.isLoaded is True
assert isinstance(_val.series.value[0].id, int)
assert _val.series.value[0].foreignSeriesId == "string"
assert _val.series.value[0].title == "string"
assert _val.series.value[0].description == "string"
assert _val.series.value[0].numbered is True
assert isinstance(_val.series.value[0].workCount, int)
assert isinstance(_val.series.value[0].primaryWorkCount, int)
assert _val.series.value[0].books.value == [None]
assert _val.series.value[0].books.isLoaded is True
assert _val.series.value[0].foreignAuthorId == "string"
assert _val.series.isLoaded is True
assert _val.name == "string"
assert _val.foreignAuthorId == "string"
assert _valu.author.isLoaded is True
assert _valu.edition.isLoaded is True
assert isinstance(_valu.partCount, int)
assert _value.bookFiles.isLoaded is True
assert isinstance(_value.seriesLinks.value[0].id, int)
assert _value.seriesLinks.value[0].position == "string"
assert isinstance(_value.seriesLinks.value[0].seriesId, int)
assert isinstance(_value.seriesLinks.value[0].bookId, int)
assert _value.seriesLinks.value[0].isPrimary is True
assert isinstance(_value.seriesLinks.value[0].series.value.id, int)
assert _value.seriesLinks.value[0].series.value.foreignSeriesId == "string"
assert _value.seriesLinks.value[0].series.value.title == "string"
assert _value.seriesLinks.value[0].series.value.description == "string"
assert _value.seriesLinks.value[0].series.value.numbered is True
assert isinstance(_value.seriesLinks.value[0].series.value.workCount, int)
assert isinstance(_value.seriesLinks.value[0].series.value.primaryWorkCount, int)
assert _value.seriesLinks.value[0].series.value.books.value == [None]
assert _value.seriesLinks.value[0].series.value.books.isLoaded is True
assert _value.seriesLinks.value[0].series.value.foreignAuthorId == "string"
assert _value.seriesLinks.value[0].series.isLoaded is True
assert _value.seriesLinks.value[0].book.isLoaded is True
assert _value.seriesLinks.isLoaded is True
assert data.author.images[0].url == "string"
assert data.author.images[0].coverType == ImageType.POSTER.value
assert data.author.images[0].extension == "string"
assert data.author.remotePoster == "string"
assert data.author.path == "string"
assert isinstance(data.author.qualityProfileId, int)
assert isinstance(data.author.metadataProfileId, int)
assert data.author.monitored is True
assert data.author.rootFolderPath == "string"
assert data.author.genres == ["string"]
assert data.author.cleanName == "string"
assert data.author.sortName == "string"
assert data.author.sortNameLastFirst == "string"
assert isinstance(data.author.tags[0], int)
assert data.author.added == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert data.author.addOptions.monitor == MonitoringOptionsType.ALL.value
assert data.author.addOptions.booksToMonitor == ["string"]
assert data.author.addOptions.monitored is True
assert data.author.addOptions.searchForMissingBooks is True
assert isinstance(data.author.ratings.votes, int)
assert isinstance(data.author.ratings.value, float)
assert isinstance(data.author.ratings.popularity, float)
assert isinstance(data.author.statistics.bookFileCount, int)
assert isinstance(data.author.statistics.bookCount, int)
assert isinstance(data.author.statistics.availableBookCount, int)
assert isinstance(data.author.statistics.totalBookCount, int)
assert isinstance(data.author.statistics.sizeOnDisk, int)
assert isinstance(data.author.statistics.percentOfBooks, float)
assert isinstance(data.books[0].id, int)
assert data.books[0].title == "string"
assert data.books[0].authorTitle == "string"
assert data.books[0].seriesTitle == "string"
assert data.books[0].overview == "string"
assert isinstance(data.books[0].authorId, int)
assert data.books[0].foreignBookId == "string"
assert isinstance(data.books[0].titleSlug, int)
assert data.books[0].monitored is True
assert data.books[0].anyEditionOk is True
assert isinstance(data.books[0].ratings.votes, int)
assert isinstance(data.books[0].ratings.value, float)
assert isinstance(data.books[0].ratings.popularity, float)
assert data.books[0].releaseDate == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert isinstance(data.books[0].pageCount, int)
assert data.books[0].genres == ["string"]
assert isinstance(data.books[0].author.id, int)
assert isinstance(data.books[0].author.authorMetadataId, int)
assert data.books[0].author.status == "string"
assert data.books[0].author.ended is True
assert data.books[0].author.authorName == "string"
assert data.books[0].author.authorNameLastFirst == "string"
assert data.books[0].author.foreignAuthorId == "string"
assert isinstance(data.books[0].author.titleSlug, int)
assert data.books[0].author.overview == "string"
assert data.books[0].author.links[0].url == "string"
assert data.books[0].author.links[0].name == "string"
_book = data.books[0].author.nextBook
assert isinstance(_book.id, int)
assert isinstance(_book.authorMetadataId, int)
assert _book.foreignBookId == "string"
assert isinstance(_book.titleSlug, int)
assert _book.title == "string"
assert _book.releaseDate == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _book.links[0].url == "string"
assert _book.links[0].name == "string"
assert _book.genres == ["string"]
assert isinstance(_book.ratings.votes, int)
assert isinstance(_book.ratings.value, float)
assert isinstance(_book.ratings.popularity, float)
assert _book.cleanTitle == "string"
assert _book.monitored is True
assert _book.anyEditionOk is True
assert _book.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _book.added == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _book.addOptions.addType == AddTypes.AUTOMATIC.value
assert _book.addOptions.searchForNewBook is True
assert isinstance(_book.authorMetadata.value.id, int)
assert _book.authorMetadata.value.foreignAuthorId == "string"
assert isinstance(_book.authorMetadata.value.titleSlug, int)
assert _book.authorMetadata.value.name == "string"
assert _book.authorMetadata.value.sortName == "string"
assert _book.authorMetadata.value.sortNameLastFirst == "string"
assert _book.authorMetadata.value.aliases == ["string"]
assert _book.authorMetadata.value.overview == "string"
assert _book.authorMetadata.value.gender == "string"
assert _book.authorMetadata.value.hometown == "string"
assert _book.authorMetadata.value.born == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _book.authorMetadata.value.died == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _book.authorMetadata.value.status == "string"
assert _book.authorMetadata.value.images[0].url == "string"
assert _book.authorMetadata.value.images[0].coverType == ImageType.POSTER.value
assert _book.authorMetadata.value.images[0].extension == "string"
assert _book.authorMetadata.value.links[0].url == "string"
assert _book.authorMetadata.value.links[0].name == "string"
assert _book.authorMetadata.value.genres == ["string"]
assert isinstance(_book.authorMetadata.value.ratings.votes, int)
assert isinstance(_book.authorMetadata.value.ratings.value, float)
assert isinstance(_book.authorMetadata.value.ratings.popularity, float)
assert _book.authorMetadata.isLoaded is True
assert isinstance(_book.author.value.id, int)
assert isinstance(_book.author.value.authorMetadataId, int)
assert _book.author.value.cleanName == "string"
assert _book.author.value.monitored is True
assert _book.author.value.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _book.author.value.path == "string"
assert _book.author.value.rootFolderPath == "string"
assert _book.author.value.added == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert isinstance(_book.author.value.qualityProfileId, int)
assert isinstance(_book.author.value.metadataProfileId, int)
assert isinstance(_book.author.value.tags[0], int)
assert _book.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _book.author.value.addOptions.booksToMonitor == ["string"]
assert _book.author.value.addOptions.monitored is True
assert _book.author.value.addOptions.searchForMissingBooks is True
_valu = _book.author.value.metadata.value
assert isinstance(_valu.id, int)
assert _valu.foreignAuthorId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.name == "string"
assert _valu.sortName == "string"
assert _valu.nameLastFirst == "string"
assert _valu.sortNameLastFirst == "string"
assert _valu.aliases == ["string"]
assert _valu.overview == "string"
assert _valu.gender == "string"
assert _valu.hometown == "string"
assert _valu.born == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.died == datetime(2020, 1, 6, 12, 49, 48, 603000)
assert _valu.status == "string"
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert _valu.genres == ["string"]
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, float)
assert _book.author.value.metadata.isLoaded is True
assert isinstance(_book.author.value.qualityProfile.value.id, int)
assert _book.author.value.qualityProfile.value.name == "string"
assert _book.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_book.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_book.author.value.qualityProfile.value.items[0].id, int)
assert _book.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_book.author.value.qualityProfile.value.items[0].quality.id, int)
assert _book.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _book.author.value.qualityProfile.value.items[0].items == [None]
assert _book.author.value.qualityProfile.value.items[0].allowed is True
assert _book.author.value.qualityProfile.isLoaded is True
assert isinstance(_book.author.value.metadataProfile.value.id, int)
assert _book.author.value.metadataProfile.value.name == "string"
assert isinstance(_book.author.value.metadataProfile.value.minPopularity, int)
assert _book.author.value.metadataProfile.value.skipMissingDate is True
assert _book.author.value.metadataProfile.value.skipMissingIsbn is True
assert _book.author.value.metadataProfile.value.skipPartsAndSets is True
assert _book.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _book.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_book.author.value.metadataProfile.value.minPages, int)
assert _book.author.value.metadataProfile.value.ignored == "string"
assert _book.author.value.metadataProfile.isLoaded is True
assert _book.author.value.books.value == [None]
assert _book.author.value.books.isLoaded is True
assert isinstance(_book.author.value.series.value[0].id, int)
assert _book.author.value.series.value[0].foreignSeriesId == "string"
assert _book.author.value.series.value[0].title == "string"
assert _book.author.value.series.value[0].description == "string"
assert _book.author.value.series.value[0].numbered is True
assert isinstance(_book.author.value.series.value[0].workCount, int)
assert isinstance(_book.author.value.series.value[0].primaryWorkCount, int)
assert _book.author.value.series.value[0].books.value == [None]
assert _book.author.value.series.value[0].books.isLoaded is True
assert _book.author.value.series.value[0].foreignAuthorId == "string"
assert _book.author.value.series.isLoaded is True
assert _book.author.value.name == "string"
assert _book.author.value.foreignAuthorId == "string"
assert _book.author.isLoaded is True
_valu = _book.editions.value[0]
assert isinstance(_valu.id, int)
assert isinstance(_valu.bookId, int)
assert _valu.foreignEditionId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.isbn13 == "string"
assert _valu.asin == "string"
assert _valu.title == "string"
assert _valu.language == "string"
assert _valu.overview == "string"
assert _valu.format == "string"
assert _valu.isEbook is True
assert _valu.publisher == "string"
assert isinstance(_valu.pageCount, int)
assert _valu.releaseDate == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _valu.images[0].url == "string"
assert _valu.images[0].coverType == ImageType.POSTER.value
assert _valu.images[0].extension == "string"
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, float)
assert _valu.monitored is True
assert _valu.manualAdd is True
assert _valu.book.isLoaded is True
_val = _valu.bookFiles.value[0]
assert isinstance(_val.id, int)
assert _val.path == "string"
assert isinstance(_val.size, int)
assert _val.modified == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.dateAdded == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.sceneName == "string"
assert _val.releaseGroup == "string"
assert isinstance(_val.quality.quality.id, int)
assert _val.quality.quality.name == "string"
assert isinstance(_val.quality.revision.version, int)
assert isinstance(_val.quality.revision.real, int)
assert _val.quality.revision.isRepack is True
assert _val.mediaInfo.audioFormat == "string"
assert isinstance(_val.mediaInfo.audioBitrate, int)
assert isinstance(_val.mediaInfo.audioChannels, float)
assert isinstance(_val.mediaInfo.audioBitrate, int)
assert isinstance(_val.mediaInfo.audioSampleRate, int)
assert isinstance(_val.editionId, int)
assert isinstance(_val.calibreId, int)
assert isinstance(_val.part, int)
assert isinstance(_val.author.value.id, int)
assert isinstance(_val.author.value.authorMetadataId, int)
assert _val.author.value.cleanName == "string"
assert _val.author.value.monitored is True
assert _val.author.value.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.author.value.path == "string"
assert _val.author.value.rootFolderPath == "string"
assert _val.author.value.added == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert isinstance(_val.author.value.qualityProfileId, int)
assert isinstance(_val.author.value.metadataProfileId, int)
assert isinstance(_val.author.value.tags[0], int)
assert _val.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _val.author.value.addOptions.booksToMonitor == ["string"]
assert _val.author.value.addOptions.monitored is True
assert _val.author.value.addOptions.searchForMissingBooks is True
_va = _val.author.value.metadata.value
assert isinstance(_va.id, int)
assert _va.foreignAuthorId == "string"
assert isinstance(_va.titleSlug, int)
assert _va.name == "string"
assert _va.sortName == "string"
assert _va.nameLastFirst == "string"
assert _va.sortNameLastFirst == "string"
assert _va.aliases == ["string"]
assert _va.overview == "string"
assert _va.gender == "string"
assert _va.hometown == "string"
assert _va.born == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _va.died == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _va.status == "string"
assert _va.images[0].url == "string"
assert _va.images[0].coverType == ImageType.POSTER.value
assert _va.images[0].extension == "string"
assert _va.links[0].url == "string"
assert _va.links[0].name == "string"
assert _va.genres == ["string"]
assert isinstance(_va.ratings.votes, int)
assert isinstance(_va.ratings.value, float)
assert isinstance(_va.ratings.popularity, float)
assert _val.author.value.metadata.isLoaded is True
assert isinstance(_val.author.value.qualityProfile.value.id, int)
assert _val.author.value.qualityProfile.value.name == "string"
assert _val.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_val.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_val.author.value.qualityProfile.value.items[0].id, int)
assert _val.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_val.author.value.qualityProfile.value.items[0].quality.id, int)
assert _val.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _val.author.value.qualityProfile.value.items[0].items == [None]
assert _val.author.value.qualityProfile.value.items[0].allowed is True
assert _val.author.value.qualityProfile.isLoaded is True
assert isinstance(_val.author.value.metadataProfile.value.id, int)
assert _val.author.value.metadataProfile.value.name == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPopularity, int)
assert _val.author.value.metadataProfile.value.skipMissingDate is True
assert _val.author.value.metadataProfile.value.skipMissingIsbn is True
assert _val.author.value.metadataProfile.value.skipPartsAndSets is True
assert _val.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _val.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPages, int)
assert _val.author.value.metadataProfile.value.ignored == "string"
assert _val.author.value.metadataProfile.isLoaded is True
assert _val.author.value.books.value == [None]
assert _val.author.value.books.isLoaded is True
assert isinstance(_val.author.value.series.value[0].id, int)
assert _val.author.value.series.value[0].foreignSeriesId == "string"
assert _val.author.value.series.value[0].title == "string"
assert _val.author.value.series.value[0].description == "string"
assert _val.author.value.series.value[0].numbered is True
assert isinstance(_val.author.value.series.value[0].workCount, int)
assert isinstance(_val.author.value.series.value[0].primaryWorkCount, int)
assert _val.author.value.series.value[0].books.value == [None]
assert _val.author.value.series.value[0].books.isLoaded is True
assert _val.author.value.series.value[0].foreignAuthorId == "string"
assert _val.author.value.series.isLoaded is True
assert _val.author.value.name == "string"
assert _val.author.value.foreignAuthorId == "string"
assert _val.author.isLoaded is True
assert _val.edition.isLoaded is True
assert isinstance(_val.partCount, int)
assert _valu.bookFiles.isLoaded is True
_val = _book.bookFiles.value[0]
assert isinstance(_val.id, int)
assert _val.path == "string"
assert isinstance(_val.size, int)
assert _val.modified == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.dateAdded == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.sceneName == "string"
assert _val.releaseGroup == "string"
assert isinstance(_val.quality.quality.id, int)
assert _val.quality.quality.name == "string"
assert isinstance(_val.quality.revision.version, int)
assert isinstance(_val.quality.revision.real, int)
assert _val.quality.revision.isRepack is True
assert _val.mediaInfo.audioFormat == "string"
assert isinstance(_val.mediaInfo.audioBitrate, int)
assert isinstance(_val.mediaInfo.audioChannels, float)
assert isinstance(_val.mediaInfo.audioBits, int)
assert isinstance(_val.mediaInfo.audioSampleRate, int)
assert isinstance(_val.editionId, int)
assert isinstance(_val.calibreId, int)
assert isinstance(_val.part, int)
assert isinstance(_val.author.value.id, int)
assert isinstance(_val.author.value.authorMetadataId, int)
assert _val.author.value.cleanName == "string"
assert _val.author.value.monitored is True
assert _val.author.value.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.author.value.path == "string"
assert _val.author.value.rootFolderPath == "string"
assert _val.author.value.added == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert isinstance(_val.author.value.qualityProfileId, int)
assert isinstance(_val.author.value.metadataProfileId, int)
assert isinstance(_val.author.value.tags[0], int)
assert _val.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _val.author.value.addOptions.booksToMonitor == ["string"]
assert _val.author.value.addOptions.monitored is True
assert _val.author.value.addOptions.searchForMissingBooks is True
_va = _val.author.value.metadata.value
assert isinstance(_va.id, int)
assert _va.foreignAuthorId == "string"
assert isinstance(_va.titleSlug, int)
assert _va.name == "string"
assert _va.sortName == "string"
assert _va.nameLastFirst == "string"
assert _va.sortNameLastFirst == "string"
assert _va.aliases == ["string"]
assert _va.overview == "string"
assert _va.gender == "string"
assert _va.hometown == "string"
assert _va.born == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _va.died == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _va.status == "string"
assert _va.images[0].url == "string"
assert _va.images[0].coverType == ImageType.POSTER.value
assert _va.images[0].extension == "string"
assert _va.links[0].url == "string"
assert _va.links[0].name == "string"
assert _va.genres == ["string"]
assert isinstance(_va.ratings.votes, int)
assert isinstance(_va.ratings.value, float)
assert isinstance(_va.ratings.popularity, float)
assert _val.author.value.metadata.isLoaded is True
assert isinstance(_val.author.value.qualityProfile.value.id, int)
assert _val.author.value.qualityProfile.value.name == "string"
assert _val.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_val.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_val.author.value.qualityProfile.value.items[0].id, int)
assert _val.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_val.author.value.qualityProfile.value.items[0].quality.id, int)
assert _val.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _val.author.value.qualityProfile.value.items[0].items == [None]
assert _val.author.value.qualityProfile.value.items[0].allowed is True
assert _val.author.value.qualityProfile.isLoaded is True
assert isinstance(_val.author.value.metadataProfile.value.id, int)
assert _val.author.value.metadataProfile.value.name == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPopularity, int)
assert _val.author.value.metadataProfile.value.skipMissingDate is True
assert _val.author.value.metadataProfile.value.skipMissingIsbn is True
assert _val.author.value.metadataProfile.value.skipPartsAndSets is True
assert _val.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _val.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPages, int)
assert _val.author.value.metadataProfile.value.ignored == "string"
assert _val.author.value.metadataProfile.isLoaded is True
assert _val.author.value.books.value == [None]
assert _val.author.value.books.isLoaded is True
assert isinstance(_val.author.value.series.value[0].id, int)
assert _val.author.value.series.value[0].foreignSeriesId == "string"
assert _val.author.value.series.value[0].title == "string"
assert _val.author.value.series.value[0].description == "string"
assert _val.author.value.series.value[0].numbered is True
assert isinstance(_val.author.value.series.value[0].workCount, int)
assert isinstance(_val.author.value.series.value[0].primaryWorkCount, int)
assert _val.author.value.series.value[0].books.value[0] is None
assert _val.author.value.series.value[0].books.isLoaded is True
assert _val.author.value.series.value[0].foreignAuthorId == "string"
assert _val.author.value.series.isLoaded is True
assert _val.author.value.name == "string"
assert _val.author.value.foreignAuthorId == "string"
assert _val.author.isLoaded is True
assert _val.edition.isLoaded is True
assert isinstance(_val.partCount, int)
assert _book.bookFiles.isLoaded is True
assert isinstance(_book.seriesLinks.value[0].id, int)
assert _book.seriesLinks.value[0].position == "string"
assert isinstance(_book.seriesLinks.value[0].seriesId, int)
assert isinstance(_book.seriesLinks.value[0].bookId, int)
assert _book.seriesLinks.value[0].isPrimary is True
assert isinstance(_book.seriesLinks.value[0].series.value.id, int)
assert _book.seriesLinks.value[0].series.value.foreignSeriesId == "string"
assert _book.seriesLinks.value[0].series.value.title == "string"
assert _book.seriesLinks.value[0].series.value.description == "string"
assert _book.seriesLinks.value[0].series.value.numbered is True
assert isinstance(_book.seriesLinks.value[0].series.value.workCount, int)
assert isinstance(_book.seriesLinks.value[0].series.value.primaryWorkCount, int)
assert _book.seriesLinks.value[0].series.value.books.value == [None]
assert _book.seriesLinks.value[0].series.value.foreignAuthorId == "string"
assert _book.seriesLinks.value[0].series.isLoaded is True
assert _book.seriesLinks.value[0].book.isLoaded is True
assert _book.seriesLinks.isLoaded is True
_valu = data.books[0].author.lastBook
assert isinstance(_valu.id, int)
assert isinstance(_valu.authorMetadataId, int)
assert _valu.foreignBookId == "string"
assert isinstance(_valu.titleSlug, int)
assert _valu.title == "string"
assert _valu.releaseDate == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _valu.links[0].url == "string"
assert _valu.links[0].name == "string"
assert _valu.genres == ["string"]
assert isinstance(_valu.ratings.votes, int)
assert isinstance(_valu.ratings.value, float)
assert isinstance(_valu.ratings.popularity, float)
assert _valu.cleanTitle == "string"
assert _valu.monitored is True
assert _valu.anyEditionOk is True
assert _valu.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _valu.added == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _valu.addOptions.addType == AddTypes.AUTOMATIC.value
assert _valu.addOptions.searchForNewBook is True
assert isinstance(_valu.authorMetadata.value.id, int)
assert _valu.authorMetadata.value.foreignAuthorId == "string"
assert isinstance(_valu.authorMetadata.value.titleSlug, int)
assert _valu.authorMetadata.value.name == "string"
assert _valu.authorMetadata.value.sortName == "string"
assert _valu.authorMetadata.value.sortNameLastFirst == "string"
assert _valu.authorMetadata.value.aliases == ["string"]
assert _valu.authorMetadata.value.overview == "string"
assert _valu.authorMetadata.value.gender == "string"
assert _valu.authorMetadata.value.hometown == "string"
assert _valu.authorMetadata.value.born == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _valu.authorMetadata.value.died == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _valu.authorMetadata.value.status == "string"
assert _valu.authorMetadata.value.images[0].url == "string"
assert _valu.authorMetadata.value.images[0].coverType == ImageType.POSTER.value
assert _valu.authorMetadata.value.images[0].extension == "string"
assert _valu.authorMetadata.value.links[0].url == "string"
assert _valu.authorMetadata.value.links[0].name == "string"
assert _valu.authorMetadata.value.genres == ["string"]
assert isinstance(_valu.authorMetadata.value.ratings.votes, int)
assert isinstance(_valu.authorMetadata.value.ratings.value, float)
assert isinstance(_valu.authorMetadata.value.ratings.popularity, float)
assert _valu.authorMetadata.isLoaded is True
assert isinstance(_valu.author.value.id, int)
assert isinstance(_valu.author.value.authorMetadataId, int)
assert _valu.author.value.cleanName == "string"
assert _valu.author.value.monitored is True
assert _valu.author.value.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _valu.author.value.path == "string"
assert _valu.author.value.rootFolderPath == "string"
assert _valu.author.value.added == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert isinstance(_valu.author.value.qualityProfileId, int)
assert isinstance(_valu.author.value.metadataProfileId, int)
assert isinstance(_valu.author.value.tags[0], int)
assert _valu.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _valu.author.value.addOptions.booksToMonitor == ["string"]
assert _valu.author.value.addOptions.monitored is True
assert _valu.author.value.addOptions.searchForMissingBooks is True
_val = _valu.author.value.metadata.value
assert isinstance(_val.id, int)
assert _val.foreignAuthorId == "string"
assert isinstance(_val.titleSlug, int)
assert _val.name == "string"
assert _val.sortName == "string"
assert _val.nameLastFirst == "string"
assert _val.sortNameLastFirst == "string"
assert _val.aliases == ["string"]
assert _val.overview == "string"
assert _val.gender == "string"
assert _val.hometown == "string"
assert _val.born == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.died == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.status == "string"
assert _val.images[0].url == "string"
assert _val.images[0].coverType == ImageType.POSTER.value
assert _val.images[0].extension == "string"
assert _val.links[0].url == "string"
assert _val.links[0].name == "string"
assert _val.genres == ["string"]
assert isinstance(_val.ratings.votes, int)
assert isinstance(_val.ratings.value, float)
assert isinstance(_val.ratings.popularity, float)
assert _valu.author.value.metadata.isLoaded is True
assert isinstance(_valu.author.value.qualityProfile.value.id, int)
assert _valu.author.value.qualityProfile.value.name == "string"
assert _valu.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_valu.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_valu.author.value.qualityProfile.value.items[0].id, int)
assert _valu.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_valu.author.value.qualityProfile.value.items[0].quality.id, int)
assert _valu.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _valu.author.value.qualityProfile.value.items[0].items == [None]
assert _valu.author.value.qualityProfile.value.items[0].allowed is True
assert _valu.author.value.qualityProfile.isLoaded is True
assert isinstance(_valu.author.value.metadataProfile.value.id, int)
assert _valu.author.value.metadataProfile.value.name == "string"
assert isinstance(_valu.author.value.metadataProfile.value.minPopularity, int)
assert _valu.author.value.metadataProfile.value.skipMissingDate is True
assert _valu.author.value.metadataProfile.value.skipMissingIsbn is True
assert _valu.author.value.metadataProfile.value.skipPartsAndSets is True
assert _valu.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _valu.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_valu.author.value.metadataProfile.value.minPages, int)
assert _valu.author.value.metadataProfile.value.ignored == "string"
assert _valu.author.value.metadataProfile.isLoaded is True
assert _valu.author.value.books.value == [None]
assert _valu.author.value.books.isLoaded is True
assert isinstance(_valu.author.value.series.value[0].id, int)
assert _valu.author.value.series.value[0].foreignSeriesId == "string"
assert _valu.author.value.series.value[0].title == "string"
assert _valu.author.value.series.value[0].description == "string"
assert _valu.author.value.series.value[0].numbered is True
assert isinstance(_valu.author.value.series.value[0].workCount, int)
assert isinstance(_valu.author.value.series.value[0].primaryWorkCount, int)
assert _valu.author.value.series.value[0].books.value == [None]
assert _valu.author.value.series.value[0].books.isLoaded is True
assert _valu.author.value.series.value[0].foreignAuthorId == "string"
assert _valu.author.value.series.isLoaded is True
assert _valu.author.value.name == "string"
assert _valu.author.value.foreignAuthorId == "string"
assert _valu.author.isLoaded is True
_val = _valu.editions.value[0]
assert isinstance(_val.id, int)
assert isinstance(_val.bookId, int)
assert _val.foreignEditionId == "string"
assert isinstance(_val.titleSlug, int)
assert _val.isbn13 == "string"
assert _val.asin == "string"
assert _val.title == "string"
assert _val.language == "string"
assert _val.overview == "string"
assert _val.format == "string"
assert _val.isEbook is True
assert _val.publisher == "string"
assert isinstance(_val.pageCount, int)
assert _val.releaseDate == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.images[0].url == "string"
assert _val.images[0].coverType == ImageType.POSTER.value
assert _val.images[0].extension == "string"
assert _val.links[0].url == "string"
assert _val.links[0].name == "string"
assert isinstance(_val.ratings.votes, int)
assert isinstance(_val.ratings.value, float)
assert isinstance(_val.ratings.popularity, float)
assert _val.monitored is True
assert _val.manualAdd is True
assert _val.book.isLoaded is True
assert isinstance(_val.bookFiles.value[0].id, int)
assert _val.bookFiles.value[0].path == "string"
assert isinstance(_val.bookFiles.value[0].size, int)
assert _val.bookFiles.value[0].modified == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.bookFiles.value[0].dateAdded == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.bookFiles.value[0].sceneName == "string"
assert _val.bookFiles.value[0].releaseGroup == "string"
assert isinstance(_val.bookFiles.value[0].quality.quality.id, int)
assert _val.bookFiles.value[0].quality.quality.name == "string"
assert isinstance(_val.bookFiles.value[0].quality.revision.version, int)
assert isinstance(_val.bookFiles.value[0].quality.revision.real, int)
assert _val.bookFiles.value[0].quality.revision.isRepack is True
assert _val.bookFiles.value[0].mediaInfo.audioFormat == "string"
assert isinstance(_val.bookFiles.value[0].mediaInfo.audioBitrate, int)
assert isinstance(_val.bookFiles.value[0].mediaInfo.audioChannels, float)
assert isinstance(_val.bookFiles.value[0].mediaInfo.audioBitrate, int)
assert isinstance(_val.bookFiles.value[0].mediaInfo.audioSampleRate, int)
assert isinstance(_val.bookFiles.value[0].editionId, int)
assert isinstance(_val.bookFiles.value[0].calibreId, int)
assert isinstance(_val.bookFiles.value[0].part, int)
_va = _val.bookFiles.value[0].author.value
assert isinstance(_va.id, int)
assert isinstance(_va.authorMetadataId, int)
assert _va.cleanName == "string"
assert _va.monitored is True
assert _va.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _va.path == "string"
assert _va.rootFolderPath == "string"
assert _va.added == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert isinstance(_va.qualityProfileId, int)
assert isinstance(_va.metadataProfileId, int)
assert isinstance(_va.tags[0], int)
assert _va.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _va.addOptions.booksToMonitor == ["string"]
assert _va.addOptions.monitored is True
assert _va.addOptions.searchForMissingBooks is True
assert isinstance(_va.metadata.value.id, int)
assert _va.metadata.value.foreignAuthorId == "string"
assert isinstance(_va.metadata.value.titleSlug, int)
assert _va.metadata.value.name == "string"
assert _va.metadata.value.sortName == "string"
assert _va.metadata.value.nameLastFirst == "string"
assert _va.metadata.value.sortNameLastFirst == "string"
assert _va.metadata.value.aliases == ["string"]
assert _va.metadata.value.overview == "string"
assert _va.metadata.value.gender == "string"
assert _va.metadata.value.hometown == "string"
assert _va.metadata.value.born == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _va.metadata.value.died == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _va.metadata.value.status == "string"
assert _va.metadata.value.images[0].url == "string"
assert _va.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _va.metadata.value.images[0].extension == "string"
assert _va.metadata.value.links[0].url == "string"
assert _va.metadata.value.links[0].name == "string"
assert _va.metadata.value.genres == ["string"]
assert isinstance(_va.metadata.value.ratings.votes, int)
assert isinstance(_va.metadata.value.ratings.value, float)
assert isinstance(_va.metadata.value.ratings.popularity, float)
assert _va.metadata.isLoaded is True
assert isinstance(_va.qualityProfile.value.id, int)
assert _va.qualityProfile.value.name == "string"
assert _va.qualityProfile.value.upgradeAllowed is True
assert isinstance(_va.qualityProfile.value.cutoff, int)
assert isinstance(_va.qualityProfile.value.items[0].id, int)
assert _va.qualityProfile.value.items[0].name == "string"
assert isinstance(_va.qualityProfile.value.items[0].quality.id, int)
assert _va.qualityProfile.value.items[0].quality.name == "string"
assert _va.qualityProfile.value.items[0].items == [None]
assert _va.qualityProfile.value.items[0].allowed is True
assert _va.qualityProfile.isLoaded is True
assert isinstance(_va.metadataProfile.value.id, int)
assert _va.metadataProfile.value.name == "string"
assert isinstance(_va.metadataProfile.value.minPopularity, int)
assert _va.metadataProfile.value.skipMissingDate is True
assert _va.metadataProfile.value.skipMissingIsbn is True
assert _va.metadataProfile.value.skipPartsAndSets is True
assert _va.metadataProfile.value.skipSeriesSecondary is True
assert _va.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_va.metadataProfile.value.minPages, int)
assert _va.metadataProfile.value.ignored == "string"
assert _va.metadataProfile.isLoaded is True
assert _va.books.value == [None]
assert _va.books.isLoaded is True
assert isinstance(_va.series.value[0].id, int)
assert _va.series.value[0].foreignSeriesId == "string"
assert _va.series.value[0].title == "string"
assert _va.series.value[0].description == "string"
assert _va.series.value[0].numbered is True
assert isinstance(_va.series.value[0].workCount, int)
assert isinstance(_va.series.value[0].primaryWorkCount, int)
assert _va.series.value[0].books.value == [None]
assert _va.series.value[0].books.isLoaded is True
assert _va.series.value[0].foreignAuthorId == "string"
assert _va.series.isLoaded is True
assert _va.name == "string"
assert _va.foreignAuthorId == "string"
assert _val.bookFiles.value[0].author.isLoaded is True
assert _val.bookFiles.value[0].edition.isLoaded is True
assert isinstance(_val.bookFiles.value[0].partCount, int)
assert _val.bookFiles.isLoaded is True
_val = _valu.bookFiles.value[0]
assert isinstance(_val.id, int)
assert _val.path == "string"
assert isinstance(_val.size, int)
assert _val.modified == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.dateAdded == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.sceneName == "string"
assert _val.releaseGroup == "string"
assert isinstance(_val.quality.quality.id, int)
assert _val.quality.quality.name == "string"
assert isinstance(_val.quality.revision.version, int)
assert isinstance(_val.quality.revision.real, int)
assert _val.quality.revision.isRepack is True
assert _val.mediaInfo.audioFormat == "string"
assert isinstance(_val.mediaInfo.audioBitrate, int)
assert isinstance(_val.mediaInfo.audioChannels, float)
assert isinstance(_val.mediaInfo.audioBits, int)
assert isinstance(_val.mediaInfo.audioSampleRate, int)
assert isinstance(_val.editionId, int)
assert isinstance(_val.calibreId, int)
assert isinstance(_val.part, int)
assert isinstance(_val.author.value.id, int)
assert isinstance(_val.author.value.authorMetadataId, int)
assert _val.author.value.cleanName == "string"
assert _val.author.value.monitored is True
assert _val.author.value.lastInfoSync == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _val.author.value.path == "string"
assert _val.author.value.rootFolderPath == "string"
assert _val.author.value.added == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert isinstance(_val.author.value.qualityProfileId, int)
assert isinstance(_val.author.value.metadataProfileId, int)
assert isinstance(_val.author.value.tags[0], int)
assert _val.author.value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _val.author.value.addOptions.booksToMonitor == ["string"]
assert _val.author.value.addOptions.monitored is True
assert _val.author.value.addOptions.searchForMissingBooks is True
_va = _val.author.value.metadata.value
assert isinstance(_va.id, int)
assert _va.foreignAuthorId == "string"
assert isinstance(_va.titleSlug, int)
assert _va.name == "string"
assert _va.sortName == "string"
assert _va.nameLastFirst == "string"
assert _va.sortNameLastFirst == "string"
assert _va.aliases == ["string"]
assert _va.overview == "string"
assert _va.gender == "string"
assert _va.hometown == "string"
assert _va.born == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _va.died == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _va.status == "string"
assert _va.images[0].url == "string"
assert _va.images[0].coverType == ImageType.POSTER.value
assert _va.images[0].extension == "string"
assert _va.links[0].url == "string"
assert _va.links[0].name == "string"
assert _va.genres == ["string"]
assert isinstance(_va.ratings.votes, int)
assert isinstance(_va.ratings.value, float)
assert isinstance(_va.ratings.popularity, float)
assert _val.author.value.metadata.isLoaded is True
assert isinstance(_val.author.value.qualityProfile.value.id, int)
assert _val.author.value.qualityProfile.value.name == "string"
assert _val.author.value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_val.author.value.qualityProfile.value.cutoff, int)
assert isinstance(_val.author.value.qualityProfile.value.items[0].id, int)
assert _val.author.value.qualityProfile.value.items[0].name == "string"
assert isinstance(_val.author.value.qualityProfile.value.items[0].quality.id, int)
assert _val.author.value.qualityProfile.value.items[0].quality.name == "string"
assert _val.author.value.qualityProfile.value.items[0].items == [None]
assert _val.author.value.qualityProfile.value.items[0].allowed is True
assert _val.author.value.qualityProfile.isLoaded is True
assert isinstance(_val.author.value.metadataProfile.value.id, int)
assert _val.author.value.metadataProfile.value.name == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPopularity, int)
assert _val.author.value.metadataProfile.value.skipMissingDate is True
assert _val.author.value.metadataProfile.value.skipMissingIsbn is True
assert _val.author.value.metadataProfile.value.skipPartsAndSets is True
assert _val.author.value.metadataProfile.value.skipSeriesSecondary is True
assert _val.author.value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_val.author.value.metadataProfile.value.minPages, int)
assert _val.author.value.metadataProfile.value.ignored == "string"
assert _val.author.value.metadataProfile.isLoaded is True
assert _val.author.value.books.value == [None]
assert _val.author.value.books.isLoaded is True
assert isinstance(_val.author.value.series.value[0].id, int)
assert _val.author.value.series.value[0].foreignSeriesId == "string"
assert _val.author.value.series.value[0].title == "string"
assert _val.author.value.series.value[0].description == "string"
assert _val.author.value.series.value[0].numbered is True
assert isinstance(_val.author.value.series.value[0].workCount, int)
assert isinstance(_val.author.value.series.value[0].primaryWorkCount, int)
assert _val.author.value.series.value[0].books.value[0] is None
assert _val.author.value.series.value[0].books.isLoaded is True
assert _val.author.value.series.value[0].foreignAuthorId == "string"
assert _val.author.value.series.isLoaded is True
assert _val.author.value.name == "string"
assert _val.author.value.foreignAuthorId == "string"
assert _val.author.isLoaded is True
assert _val.edition.isLoaded is True
assert isinstance(_val.partCount, int)
assert _valu.bookFiles.isLoaded is True
assert isinstance(_valu.seriesLinks.value[0].id, int)
assert _valu.seriesLinks.value[0].position == "string"
assert isinstance(_valu.seriesLinks.value[0].seriesId, int)
assert isinstance(_valu.seriesLinks.value[0].bookId, int)
assert _valu.seriesLinks.value[0].isPrimary is True
assert isinstance(_valu.seriesLinks.value[0].series.value.id, int)
assert _valu.seriesLinks.value[0].series.value.foreignSeriesId == "string"
assert _valu.seriesLinks.value[0].series.value.title == "string"
assert _valu.seriesLinks.value[0].series.value.description == "string"
assert _valu.seriesLinks.value[0].series.value.numbered is True
assert isinstance(_valu.seriesLinks.value[0].series.value.workCount, int)
assert isinstance(_valu.seriesLinks.value[0].series.value.primaryWorkCount, int)
assert _valu.seriesLinks.value[0].series.value.books.value == [None]
assert _valu.seriesLinks.value[0].series.value.foreignAuthorId == "string"
assert _valu.seriesLinks.value[0].series.isLoaded is True
assert _valu.seriesLinks.value[0].book.isLoaded is True
assert _valu.seriesLinks.isLoaded is True
assert data.books[0].author.images[0].url == "string"
assert data.books[0].author.images[0].coverType == ImageType.POSTER.value
assert data.books[0].author.images[0].extension == "string"
assert data.books[0].author.remotePoster == "string"
assert data.books[0].author.path == "string"
assert isinstance(data.books[0].author.qualityProfileId, int)
assert isinstance(data.books[0].author.metadataProfileId, int)
assert data.books[0].author.monitored is True
assert data.books[0].author.rootFolderPath == "string"
assert data.books[0].author.genres == ["string"]
assert data.books[0].author.cleanName == "string"
assert data.books[0].author.sortName == "string"
assert data.books[0].author.sortNameLastFirst == "string"
assert isinstance(data.books[0].author.tags[0], int)
assert data.books[0].author.added == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert data.books[0].author.addOptions.monitor == MonitoringOptionsType.ALL.value
assert data.books[0].author.addOptions.booksToMonitor == ["string"]
assert data.books[0].author.addOptions.monitored is True
assert data.books[0].author.addOptions.searchForMissingBooks is True
assert isinstance(data.books[0].author.ratings.votes, int)
assert isinstance(data.books[0].author.ratings.value, float)
assert isinstance(data.books[0].author.ratings.popularity, float)
assert isinstance(data.books[0].author.statistics.bookFileCount, int)
assert isinstance(data.books[0].author.statistics.bookCount, int)
assert isinstance(data.books[0].author.statistics.availableBookCount, int)
assert isinstance(data.books[0].author.statistics.totalBookCount, int)
assert isinstance(data.books[0].author.statistics.sizeOnDisk, int)
assert isinstance(data.books[0].author.statistics.percentOfBooks, float)
assert data.books[0].images[0].url == "string"
assert data.books[0].images[0].coverType == ImageType.POSTER.value
assert data.books[0].images[0].extension == "string"
assert data.books[0].links[0].url == "string"
assert data.books[0].links[0].name == "string"
assert isinstance(data.books[0].statistics.bookFileCount, int)
assert isinstance(data.books[0].statistics.bookCount, int)
assert isinstance(data.books[0].statistics.totalBookCount, int)
assert isinstance(data.books[0].statistics.sizeOnDisk, int)
assert isinstance(data.books[0].statistics.percentOfBooks, float)
assert data.books[0].added == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert data.books[0].addOptions.addType == AddTypes.AUTOMATIC.value
assert data.books[0].addOptions.searchForNewBook is True
assert data.books[0].remoteCover == "string"
assert data.books[0].remoteCover == "string"
_value = data.books[0].editions[0]
assert isinstance(_value.id, int)
assert isinstance(_value.bookId, int)
assert _value.foreignEditionId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.isbn13 == "string"
assert _value.asin == "string"
assert _value.title == "string"
assert _value.language == "string"
assert _value.overview == "string"
assert _value.format == "string"
assert _value.isEbook is True
assert _value.publisher == "string"
assert isinstance(_value.pageCount, int)
assert _value.releaseDate == datetime(2020, 1, 6, 12, 49, 48, 604000)
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.images[0].extension == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert isinstance(_value.ratings.popularity, float)
assert _value.monitored is True
assert _value.manualAdd is True
assert _value.remoteCover == "string"
assert _value.grabbed is True
assert data.books[0].grabbed is True
@pytest.mark.asyncio
async def test_async_get_queue(aresponses, readarr_client: ReadarrClient) -> None:
"""Test getting queue."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/queue?page=1&pageSize=10&sortKey=timeleft&includeUnknownAuthorItems=False&includeAuthor=False&includeBook=False",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/queue.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_queue()
assert data.page == 1
assert data.pageSize == 10
assert data.sortKey == ReadarrSortKeys.TIMELEFT.value
assert data.sortDirection == SortDirection.ASCENDING.value
assert data.totalRecords == 1
assert isinstance(data.records[0].authorId, int)
assert isinstance(data.records[0].bookId, int)
assert data.records[0].author
assert data.records[0].book
assert isinstance(data.records[0].quality.quality.id, int)
assert data.records[0].quality.quality.name == "string"
assert isinstance(data.records[0].quality.revision.version, int)
assert isinstance(data.records[0].quality.revision.real, int)
assert data.records[0].quality.revision.isRepack is False
assert isinstance(data.records[0].size, int)
assert data.records[0].title == "string"
assert isinstance(data.records[0].sizeleft, int)
assert data.records[0].timeleft == "00:00:00"
assert data.records[0].estimatedCompletionTime == datetime(2020, 2, 9, 23, 22, 30)
assert data.records[0].status == "string"
assert data.records[0].trackedDownloadStatus == "string"
assert data.records[0].trackedDownloadState == "string"
assert data.records[0].statusMessages[0].title == "string"
assert data.records[0].statusMessages[0].messages == ["string"]
assert data.records[0].downloadId == "string"
assert data.records[0].protocol is ProtocolType.UNKNOWN
assert data.records[0].downloadClient == "string"
assert data.records[0].indexer == "string"
assert data.records[0].outputPath == "string"
assert data.records[0].downloadForced is False
assert isinstance(data.records[0].id, int)
@pytest.mark.asyncio
async def test_async_get_queue_details(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test getting queue details."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/queue/details?includeUnknownAuthorItems=False&includeAuthor=False&includeBook=True&authorId=0&bookIds=0",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/queue-details.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_queue_details(authorid=0, bookids=[0])
assert isinstance(data[0].authorId, int)
assert isinstance(data[0].bookId, int)
assert data[0].author
assert data[0].book
assert data[0].book.title == "string"
assert data[0].book.authorTitle == "string"
assert data[0].book.seriesTitle == "string"
assert data[0].book.disambiguation == "string"
assert data[0].book.overview == "string"
assert isinstance(data[0].book.authorId, int)
assert data[0].book.foreignBookId == "0"
assert isinstance(data[0].book.titleSlug, int)
assert data[0].book.monitored is True
assert data[0].book.anyEditionOk is True
assert isinstance(data[0].book.ratings.votes, int)
assert isinstance(data[0].book.ratings.value, float)
assert isinstance(data[0].book.ratings.popularity, float)
assert data[0].book.releaseDate == datetime(2021, 11, 22, 0, 0)
assert isinstance(data[0].book.pageCount, int)
assert data[0].book.genres == ["string"]
assert isinstance(data[0].book.author.authorMetadataId, int)
assert data[0].book.author.status == "string"
assert data[0].book.author.ended is False
assert data[0].book.author.authorName == "string"
assert data[0].book.author.authorNameLastFirst == "string"
assert isinstance(data[0].book.author.foreignAuthorId, int)
assert isinstance(data[0].book.author.titleSlug, int)
assert data[0].book.author.overview == "string"
assert data[0].book.author.links[0].url == "string"
assert data[0].book.author.links[0].name == "string"
assert data[0].book.author.images[0].url == "string"
assert data[0].book.author.images[0].coverType == ImageType.POSTER.value
assert data[0].book.author.images[0].extension == "string"
assert data[0].book.author.path == "string"
assert isinstance(data[0].book.author.qualityProfileId, int)
assert isinstance(data[0].book.author.metadataProfileId, int)
assert data[0].book.author.monitored is True
assert data[0].book.author.monitorNewItems == "string"
assert data[0].book.author.genres == ["string"]
assert data[0].book.author.cleanName == "string"
assert data[0].book.author.sortName == "string"
assert data[0].book.author.sortNameLastFirst == "string"
assert isinstance(data[0].book.author.tags[0], int)
assert data[0].book.author.added == datetime(2021, 12, 6, 23, 38, 3)
assert isinstance(data[0].book.author.ratings.votes, int)
assert isinstance(data[0].book.author.ratings.value, float)
assert isinstance(data[0].book.author.ratings.popularity, float)
assert isinstance(data[0].book.author.statistics.bookFileCount, int)
assert isinstance(data[0].book.author.statistics.bookCount, int)
assert isinstance(data[0].book.author.statistics.availableBookCount, int)
assert isinstance(data[0].book.author.statistics.totalBookCount, int)
assert isinstance(data[0].book.author.statistics.sizeOnDisk, int)
assert isinstance(data[0].book.author.statistics.percentOfBooks, float)
assert isinstance(data[0].book.author.id, int)
assert data[0].book.images[0].url == "string"
assert data[0].book.images[0].coverType == ImageType.POSTER.value
assert data[0].book.images[0].extension == "string"
assert data[0].book.links[0].url == "string"
assert data[0].book.links[0].name == "string"
assert data[0].book.added == datetime(2021, 12, 6, 23, 53, 58)
assert isinstance(data[0].book.editions[0].bookId, int)
assert isinstance(data[0].book.editions[0].foreignEditionId, int)
assert isinstance(data[0].book.editions[0].titleSlug, int)
assert isinstance(data[0].book.editions[0].isbn13, int)
assert data[0].book.editions[0].title == "string"
assert data[0].book.editions[0].language == "string"
assert data[0].book.editions[0].overview == "string"
assert data[0].book.editions[0].format == "string"
assert data[0].book.editions[0].isEbook is False
assert data[0].book.editions[0].disambiguation == "string"
assert data[0].book.editions[0].publisher == "string"
assert isinstance(data[0].book.editions[0].pageCount, int)
assert data[0].book.editions[0].releaseDate == datetime(2021, 11, 25, 0, 0)
assert data[0].book.editions[0].images[0].url == "string"
assert data[0].book.editions[0].images[0].coverType == ImageType.POSTER.value
assert data[0].book.editions[0].images[0].extension == "string"
assert data[0].book.editions[0].links[0].url == "string"
assert data[0].book.editions[0].links[0].name == "string"
assert isinstance(data[0].book.editions[0].ratings.votes, int)
assert isinstance(data[0].book.editions[0].ratings.value, float)
assert isinstance(data[0].book.editions[0].ratings.popularity, float)
assert data[0].book.editions[0].monitored is False
assert data[0].book.editions[0].manualAdd is False
assert data[0].book.editions[0].grabbed is False
assert isinstance(data[0].book.editions[0].id, int)
assert data[0].book.grabbed is False
assert isinstance(data[0].book.id, int)
assert isinstance(data[0].quality.quality.id, int)
assert data[0].quality.quality.name == "string"
assert isinstance(data[0].quality.revision.version, int)
assert isinstance(data[0].quality.revision.real, int)
assert data[0].quality.revision.isRepack is False
assert isinstance(data[0].size, int)
assert data[0].title == "string"
assert isinstance(data[0].sizeleft, int)
assert data[0].timeleft == "00:00:00"
assert data[0].estimatedCompletionTime == datetime(2020, 2, 7, 11, 27, 27)
assert data[0].status == "string"
assert data[0].trackedDownloadStatus == "string"
assert data[0].trackedDownloadState == "string"
assert data[0].statusMessages[0].title == "string"
assert data[0].statusMessages[0].messages == ["string"]
assert data[0].downloadId == "string"
assert data[0].protocol is ProtocolType.UNKNOWN
assert data[0].downloadClient == "string"
assert data[0].indexer == "string"
assert data[0].outputPath == "string"
assert data[0].downloadForced is False
assert isinstance(data[0].id, int)
@pytest.mark.asyncio
async def test_async_get_release(aresponses, readarr_client: ReadarrClient) -> None:
"""Test searching indexers for specified fields."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/release?authorId=0&bookId=0",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/release.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_release(authorid=0, bookid=0)
assert data[0].guid == "string"
assert isinstance(data[0].quality.quality.id, int)
assert data[0].quality.quality.name == "string"
assert isinstance(data[0].quality.revision.version, int)
assert isinstance(data[0].quality.revision.real, int)
assert data[0].quality.revision.isRepack is False
assert isinstance(data[0].qualityWeight, int)
assert isinstance(data[0].age, int)
assert isinstance(data[0].ageHours, float)
assert isinstance(data[0].ageMinutes, float)
assert isinstance(data[0].size, int)
assert isinstance(data[0].indexerId, int)
assert data[0].indexer == "string"
assert data[0].title == "string"
assert data[0].discography is False
assert data[0].sceneSource is False
assert data[0].authorName == "string"
assert data[0].bookTitle == "string"
assert data[0].approved is False
assert data[0].temporarilyRejected is False
assert data[0].rejected is True
assert data[0].rejections[0].reason == "string"
assert data[0].rejections[0].type == "permanent"
assert data[0].publishDate == datetime(2021, 11, 23, 5, 0)
assert data[0].commentUrl == "string"
assert data[0].downloadUrl == "string"
assert data[0].infoUrl == "string"
assert data[0].downloadAllowed is True
assert isinstance(data[0].releaseWeight, int)
assert isinstance(data[0].preferredWordScore, int)
assert data[0].magnetUrl == "string"
assert data[0].infoHash == "string"
assert isinstance(data[0].seeders, int)
assert isinstance(data[0].leechers, int)
assert data[0].protocol is ProtocolType.UNKNOWN
@pytest.mark.asyncio
async def test_async_get_pushed_release(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test getting pushed release."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/release/push?id=test",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_get_pushed_release("test")
assert isinstance(data, ReadarrRelease)
@pytest.mark.asyncio
async def test_async_get_rename(aresponses, readarr_client: ReadarrClient) -> None:
"""Test getting rename details."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/rename?authorId=0&bookId=0",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/rename.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_rename()
assert isinstance(data[0].authorId, int)
assert isinstance(data[0].bookId, int)
assert isinstance(data[0].bookFileId, int)
assert data[0].existingPath == "string"
assert data[0].newPath == "string"
@pytest.mark.asyncio
async def test_async_get_manual_import(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test getting manual import."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/manualimport?authorId=0&downloadId=abc123&filterExistingFiles=True&folder=&replaceExistingFiles=True",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/manualimport.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_manual_import("abc123")
assert data[0].path == "string"
assert data[0].name == "string"
assert isinstance(data[0].size, int)
assert isinstance(data[0].author.authorMetadataId, int)
assert data[0].author.status == StatusType.CONTINUING.value
assert data[0].author.ended is False
assert data[0].author.authorName == "string"
assert data[0].author.authorNameLastFirst == "string"
assert isinstance(data[0].author.foreignAuthorId, int)
assert isinstance(data[0].author.titleSlug, int)
assert data[0].author.overview == "string"
assert data[0].author.links[0].url == "string"
assert data[0].author.links[0].name == "string"
assert data[0].author.images[0].url == "string"
assert data[0].author.images[0].coverType == ImageType.POSTER.value
assert data[0].author.images[0].extension == "string"
assert data[0].author.path == "string"
assert isinstance(data[0].author.qualityProfileId, int)
assert isinstance(data[0].author.metadataProfileId, int)
assert data[0].author.monitored is True
assert data[0].author.monitorNewItems == MonitoringOptionsType.ALL.value
assert data[0].author.genres == ["string"]
assert data[0].author.cleanName == "string"
assert data[0].author.sortName == "string"
assert data[0].author.sortNameLastFirst == "string"
assert isinstance(data[0].author.tags[0], int)
assert data[0].author.added == datetime(2021, 12, 6, 23, 38, 3)
assert isinstance(data[0].author.ratings.votes, int)
assert isinstance(data[0].author.ratings.value, float)
assert isinstance(data[0].author.ratings.popularity, float)
assert isinstance(data[0].author.statistics.bookFileCount, int)
assert isinstance(data[0].author.statistics.bookCount, int)
assert isinstance(data[0].author.statistics.availableBookCount, int)
assert isinstance(data[0].author.statistics.totalBookCount, int)
assert isinstance(data[0].author.statistics.sizeOnDisk, int)
assert isinstance(data[0].author.statistics.percentOfBooks, int)
assert isinstance(data[0].author.id, int)
assert data[0].book.title == "string"
assert data[0].book.authorTitle == "string"
assert data[0].book.seriesTitle == "string"
assert data[0].book.disambiguation == "string"
assert data[0].book.overview == "string"
assert isinstance(data[0].book.authorId, int)
assert isinstance(data[0].book.foreignBookId, str)
assert isinstance(data[0].book.titleSlug, int)
assert data[0].book.monitored is True
assert data[0].book.anyEditionOk is True
assert isinstance(data[0].book.ratings.votes, int)
assert isinstance(data[0].book.ratings.value, float)
assert isinstance(data[0].book.ratings.popularity, float)
assert data[0].book.releaseDate == datetime(2020, 9, 21, 0, 0)
assert isinstance(data[0].book.pageCount, int)
assert data[0].book.genres == ["string"]
assert isinstance(data[0].book.author.authorMetadataId, int)
assert data[0].book.author.status == StatusType.CONTINUING.value
assert data[0].book.author.ended is False
assert data[0].book.author.authorName == "string"
assert data[0].book.author.authorNameLastFirst == "string"
assert isinstance(data[0].book.author.foreignAuthorId, int)
assert isinstance(data[0].book.author.titleSlug, int)
assert data[0].book.author.overview == "string"
assert data[0].book.author.links[0].url == "string"
assert data[0].book.author.links[0].name == "Goodreads"
assert data[0].book.author.images[0].url == "string"
assert data[0].book.author.images[0].coverType == ImageType.POSTER.value
assert data[0].book.author.images[0].extension == "string"
assert data[0].book.author.path == "string"
assert isinstance(data[0].book.author.qualityProfileId, int)
assert isinstance(data[0].book.author.metadataProfileId, int)
assert data[0].book.author.monitored is True
assert data[0].book.author.monitorNewItems == MonitoringOptionsType.ALL.value
assert data[0].book.author.genres == ["string"]
assert data[0].book.author.cleanName == "string"
assert data[0].book.author.sortName == "string"
assert data[0].book.author.sortNameLastFirst == "string"
assert isinstance(data[0].book.author.tags[0], int)
assert data[0].book.author.added == datetime(2021, 12, 6, 23, 38, 3)
assert isinstance(data[0].book.author.ratings.votes, int)
assert isinstance(data[0].book.author.ratings.value, float)
assert isinstance(data[0].book.author.ratings.popularity, float)
assert isinstance(data[0].book.author.statistics.bookFileCount, int)
assert isinstance(data[0].book.author.statistics.bookCount, int)
assert isinstance(data[0].book.author.statistics.availableBookCount, int)
assert isinstance(data[0].book.author.statistics.totalBookCount, int)
assert isinstance(data[0].book.author.statistics.sizeOnDisk, int)
assert isinstance(data[0].book.author.statistics.percentOfBooks, int)
assert isinstance(data[0].book.author.id, int)
assert data[0].book.images[0].url == "string"
assert data[0].book.images[0].coverType == ImageType.COVER.value
assert data[0].book.images[0].extension == "string"
assert data[0].book.links[0].url == "string"
assert data[0].book.links[0].name == "string"
assert data[0].book.added == datetime(2021, 12, 6, 23, 53, 58)
assert isinstance(data[0].book.editions[0].bookId, int)
assert isinstance(data[0].book.editions[0].foreignEditionId, int)
assert isinstance(data[0].book.editions[0].titleSlug, int)
assert isinstance(data[0].book.editions[0].isbn13, int)
assert data[0].book.editions[0].asin == "string"
assert data[0].book.editions[0].title == "string"
assert data[0].book.editions[0].overview == "string"
assert data[0].book.editions[0].format == "string"
assert data[0].book.editions[0].isEbook is False
assert data[0].book.editions[0].disambiguation == "string"
assert data[0].book.editions[0].publisher == "string"
assert isinstance(data[0].book.editions[0].pageCount, int)
assert data[0].book.editions[0].releaseDate == datetime(2020, 8, 27, 0, 0)
assert data[0].book.editions[0].images[0].url == "string"
assert data[0].book.editions[0].images[0].coverType == ImageType.COVER.value
assert data[0].book.editions[0].images[0].extension == "string"
assert data[0].book.editions[0].links[0].url == "string"
assert data[0].book.editions[0].links[0].name == "string"
assert isinstance(data[0].book.editions[0].ratings.votes, int)
assert isinstance(data[0].book.editions[0].ratings.value, float)
assert isinstance(data[0].book.editions[0].ratings.popularity, float)
assert data[0].book.editions[0].monitored is False
assert data[0].book.editions[0].manualAdd is False
assert data[0].book.editions[0].grabbed is False
assert isinstance(data[0].book.editions[0].id, int)
assert data[0].book.foreignBookId == "string"
assert isinstance(data[0].quality.quality.id, int)
assert data[0].quality.quality.name == "string"
assert isinstance(data[0].quality.revision.version, int)
assert isinstance(data[0].quality.revision.real, int)
assert data[0].quality.revision.isRepack is False
assert isinstance(data[0].qualityWeight, int)
assert data[0].downloadId == "string"
assert data[0].rejections[0].reason == "string"
assert data[0].rejections[0].type == "permanent"
assert data[0].audioTags.authors == ["string"]
assert data[0].audioTags.authorTitle == "string"
assert data[0].audioTags.bookTitle == "string"
assert isinstance(data[0].audioTags.isbn, int)
assert isinstance(data[0].audioTags.discNumber, int)
assert isinstance(data[0].audioTags.discCount, int)
assert isinstance(data[0].audioTags.year, int)
assert data[0].audioTags.publisher == "string"
assert data[0].audioTags.disambiguation == "string"
assert data[0].audioTags.duration == "00:00:00"
assert isinstance(data[0].audioTags.quality.quality.id, int)
assert data[0].audioTags.quality.quality.name == "EPUB"
assert isinstance(data[0].audioTags.quality.revision.version, int)
assert isinstance(data[0].audioTags.quality.revision.real, int)
assert data[0].audioTags.quality.revision.isRepack is False
assert isinstance(data[0].audioTags.trackNumbers[0], int)
assert data[0].audioTags.language == "en"
assert data[0].additionalFile is False
assert data[0].replaceExistingFiles is True
assert data[0].disableReleaseSwitching is False
assert isinstance(data[0].id, int)
@pytest.mark.asyncio
async def test_async_edit_manual_import(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test editing manual import."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/manualimport",
"PUT",
aresponses.Response(
status=202,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_edit_manual_import(ReadarrManualImport("test"))
assert isinstance(data, ReadarrManualImport)
@pytest.mark.asyncio
async def test_async_get_retag(aresponses, readarr_client: ReadarrClient) -> None:
"""Test getting retag details."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/retag?authorId=0&bookId=0",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/retag.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_retag()
assert isinstance(data[0].authorId, int)
assert isinstance(data[0].bookId, int)
assert isinstance(data[0].trackNumbers[0], int)
assert isinstance(data[0].bookFileId, int)
assert data[0].path == "string"
assert data[0].changes[0].field == "string"
assert data[0].changes[0].oldValue == "string"
assert data[0].changes[0].newValue == "string"
@pytest.mark.asyncio
async def test_async_search(aresponses, readarr_client: ReadarrClient) -> None:
"""Test search."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/search?term=test",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/search.json"),
),
match_querystring=True,
)
data = await readarr_client.async_search("test")
assert data[0].foreignId == "0"
assert isinstance(data[0].author.authorMetadataId, int)
assert data[0].author.status == "string"
assert data[0].author.ended is False
assert data[0].author.authorName == "string"
assert data[0].author.authorNameLastFirst == "string"
assert isinstance(data[0].author.foreignAuthorId, int)
assert isinstance(data[0].author.titleSlug, int)
assert data[0].author.overview == "string"
assert data[0].author.links[0].url == "string"
assert data[0].author.links[0].name == "string"
assert data[0].author.images[0].url == "string"
assert data[0].author.images[0].coverType == ImageType.POSTER.value
assert data[0].author.images[0].extension == "string"
assert data[0].author.remotePoster == "string"
assert data[0].author.path == "string"
assert isinstance(data[0].author.qualityProfileId, int)
assert isinstance(data[0].author.metadataProfileId, int)
assert data[0].author.monitored is True
assert data[0].author.monitorNewItems == "string"
assert data[0].author.genres == ["string"]
assert data[0].author.cleanName == "string"
assert data[0].author.sortName == "string"
assert data[0].author.sortNameLastFirst == "string"
assert isinstance(data[0].author.tags[0], int)
assert data[0].author.added == datetime(2021, 10, 6, 23, 38, 49)
assert isinstance(data[0].author.ratings.votes, int)
assert isinstance(data[0].author.ratings.value, float)
assert isinstance(data[0].author.ratings.popularity, float)
assert isinstance(data[0].author.statistics.bookFileCount, int)
assert isinstance(data[0].author.statistics.bookCount, int)
assert isinstance(data[0].author.statistics.availableBookCount, int)
assert isinstance(data[0].author.statistics.totalBookCount, int)
assert isinstance(data[0].author.statistics.sizeOnDisk, int)
assert isinstance(data[0].author.statistics.percentOfBooks, float)
assert isinstance(data[0].author.id, int)
assert isinstance(data[0].id, int)
@pytest.mark.asyncio
async def test_async_get_series(aresponses, readarr_client: ReadarrClient) -> None:
"""Test search."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/series?authorId=0",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/series.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_series(0)
assert data[0].title == "string"
assert data[0].description == "string"
assert data[0].links[0].position == "string"
assert isinstance(data[0].links[0].seriesPosition, int)
assert isinstance(data[0].links[0].seriesId, int)
assert isinstance(data[0].links[0].bookId, int)
assert isinstance(data[0].links[0].id, int)
assert isinstance(data[0].id, int)
@pytest.mark.asyncio
async def test_async_get_tag_details(aresponses, readarr_client: ReadarrClient) -> None:
"""Test getting tag details."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/tag/detail/0",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/tag-detail.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_tags_details(tagid=0)
assert isinstance(data.id, int)
assert data.label == "string"
assert isinstance(data.delayProfileIds[0], int)
assert isinstance(data.notificationIds[0], int)
assert isinstance(data.restrictionIds[0], int)
assert isinstance(data.importListIds[0], int)
assert isinstance(data.authorIds[0], int)
@pytest.mark.asyncio
async def test_readarr_bookshelf() -> None:
"""Test readarr bookshelf model."""
item = BaseModel(
data={ATTR_DATA: json.loads(load_fixture("readarr/bookshelf.json"))},
datatype=ReadarrBookshelf,
)
assert isinstance(item.basedata, ReadarrBookshelf)
assert isinstance(item.basedata.authors[0].id, int)
assert item.basedata.authors[0].monitored is True
_value = item.basedata.authors[0].books[0]
assert isinstance(_value.id, int)
assert _value.title == "string"
assert _value.authorTitle == "string"
assert _value.seriesTitle == "string"
assert _value.overview == "string"
assert isinstance(_value.authorId, int)
assert _value.foreignBookId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.monitored is True
assert _value.anyEditionOk is True
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
assert _value.releaseDate == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert isinstance(_value.pageCount, int)
assert _value.genres[0] == "string"
_value = item.basedata.authors[0].books[0].author
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.status == "string"
assert _value.authorName == "string"
assert _value.authorNameLastFirst == "string"
assert _value.foreignAuthorId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.overview == "string"
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert isinstance(_value.nextBook.id, int)
assert isinstance(_value.nextBook.authorMetadataId, int)
assert _value.nextBook.foreignBookId == "string"
assert isinstance(_value.nextBook.titleSlug, int)
assert _value.nextBook.title == "string"
assert _value.nextBook.releaseDate == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.nextBook.links[0].url == "string"
assert _value.nextBook.links[0].name == "string"
assert _value.nextBook.genres[0] == "string"
assert isinstance(_value.nextBook.ratings.votes, int)
assert isinstance(_value.nextBook.ratings.value, float)
assert _value.nextBook.cleanTitle == "string"
assert _value.nextBook.monitored is True
assert _value.nextBook.anyEditionOk is True
assert _value.nextBook.lastInfoSync == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.nextBook.added == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.nextBook.addOptions.addType == AddTypes.AUTOMATIC.value
assert _value.nextBook.addOptions.searchForNewBook is True
_value = item.basedata.authors[0].books[0].author.nextBook.authorMetadata.value
assert isinstance(_value.id, int)
assert _value.foreignAuthorId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.name == "string"
assert _value.sortName == "string"
assert _value.sortNameLastFirst == "string"
assert _value.aliases[0] == "string"
assert _value.overview == "string"
assert _value.gender == "string"
assert _value.hometown == "string"
assert _value.born == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.died == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.status == "string"
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert _value.genres[0] == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
_value = item.basedata.authors[0].books[0].author.nextBook.author.value
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.cleanName == "string"
assert _value.monitored is True
assert _value.lastInfoSync == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.path == "string"
assert _value.rootFolderPath == "string"
assert _value.added == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.metadata.value.died == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert isinstance(_value.qualityProfile.value.id, int)
assert _value.qualityProfile.value.name == "string"
assert _value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.qualityProfile.value.cutoff, int)
assert isinstance(_value.qualityProfile.value.items[0].id, int)
assert _value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.qualityProfile.value.items[0].quality.id, int)
assert _value.qualityProfile.value.items[0].quality.name == "string"
assert _value.qualityProfile.value.items[0].items == [None]
assert _value.qualityProfile.value.items[0].allowed is True
assert isinstance(_value.metadataProfile.value.id, int)
assert _value.metadataProfile.value.name == "string"
assert isinstance(_value.metadataProfile.value.minPopularity, int)
assert _value.metadataProfile.value.skipMissingDate is True
assert _value.metadataProfile.value.skipMissingIsbn is True
assert _value.metadataProfile.value.skipPartsAndSets is True
assert _value.metadataProfile.value.skipSeriesSecondary is True
assert _value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.metadataProfile.value.minPages, int)
assert _value.metadataProfile.value.ignored == "string"
assert isinstance(_value.books, _ReadarrAuthorValueBooks)
assert isinstance(_value.series, _ReadarrAuthorValueSeries)
assert _value.name == "string"
assert _value.foreignAuthorId == "string"
_book = item.basedata.authors[0].books[0].author.nextBook
assert isinstance(_book.editions, _ReadarrEditions)
assert isinstance(_book.bookFiles, _ReadarrEditionsValueBookFiles)
assert isinstance(_book.seriesLinks, _ReadarrSeriesLinks)
assert isinstance(_book.id, int)
assert isinstance(_book.authorMetadataId, int)
assert _book.foreignBookId == "string"
assert isinstance(_book.titleSlug, int)
assert _book.title == "string"
assert _book.releaseDate == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _book.links[0].url == "string"
assert _book.links[0].name == "string"
assert _book.genres[0] == "string"
assert isinstance(_book.ratings.votes, int)
assert isinstance(_book.ratings.value, float)
assert _book.cleanTitle == "string"
assert _book.monitored is True
assert _book.anyEditionOk is True
assert _book.lastInfoSync == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _book.added == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _book.addOptions.addType == AddTypes.AUTOMATIC.value
assert _book.addOptions.searchForNewBook is True
_value = item.basedata.authors[0].books[0].author.lastBook.authorMetadata.value
assert isinstance(_value.id, int)
assert _value.foreignAuthorId == "string"
assert isinstance(_value.titleSlug, int)
assert _value.name == "string"
assert _value.sortName == "string"
assert _value.sortNameLastFirst == "string"
assert _value.aliases[0] == "string"
assert _value.overview == "string"
assert _value.gender == "string"
assert _value.hometown == "string"
assert _value.born == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.died == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.status == "string"
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert _value.genres[0] == "string"
assert isinstance(_value.ratings.votes, int)
assert isinstance(_value.ratings.value, float)
_value = item.basedata.authors[0].books[0].author.lastBook.author.value
assert isinstance(_value.id, int)
assert isinstance(_value.authorMetadataId, int)
assert _value.cleanName == "string"
assert _value.monitored is True
assert _value.lastInfoSync == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.path == "string"
assert _value.rootFolderPath == "string"
assert _value.added == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert isinstance(_value.qualityProfileId, int)
assert isinstance(_value.metadataProfileId, int)
assert isinstance(_value.tags[0], int)
assert _value.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.addOptions.booksToMonitor[0] == "string"
assert _value.addOptions.monitored is True
assert _value.addOptions.searchForMissingBooks is True
assert isinstance(_value.metadata.value.id, int)
assert _value.metadata.value.foreignAuthorId == "string"
assert isinstance(_value.metadata.value.titleSlug, int)
assert _value.metadata.value.name == "string"
assert _value.metadata.value.sortName == "string"
assert _value.metadata.value.nameLastFirst == "string"
assert _value.metadata.value.sortNameLastFirst == "string"
assert _value.metadata.value.aliases[0] == "string"
assert _value.metadata.value.overview == "string"
assert _value.metadata.value.gender == "string"
assert _value.metadata.value.hometown == "string"
assert _value.metadata.value.born == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.metadata.value.died == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.metadata.value.status == "string"
assert _value.metadata.value.images[0].url == "string"
assert _value.metadata.value.images[0].coverType == ImageType.POSTER.value
assert _value.metadata.value.links[0].url == "string"
assert _value.metadata.value.links[0].name == "string"
assert _value.metadata.value.genres[0] == "string"
assert isinstance(_value.metadata.value.ratings.votes, int)
assert isinstance(_value.metadata.value.ratings.value, float)
assert isinstance(_value.qualityProfile.value.id, int)
assert _value.qualityProfile.value.name == "string"
assert _value.qualityProfile.value.upgradeAllowed is True
assert isinstance(_value.qualityProfile.value.cutoff, int)
assert isinstance(_value.qualityProfile.value.items[0].id, int)
assert _value.qualityProfile.value.items[0].name == "string"
assert isinstance(_value.qualityProfile.value.items[0].quality.id, int)
assert _value.qualityProfile.value.items[0].quality.name == "string"
assert _value.qualityProfile.value.items[0].items == [None]
assert _value.qualityProfile.value.items[0].allowed is True
assert isinstance(_value.metadataProfile.value.id, int)
assert _value.metadataProfile.value.name == "string"
assert isinstance(_value.metadataProfile.value.minPopularity, int)
assert _value.metadataProfile.value.skipMissingDate is True
assert _value.metadataProfile.value.skipMissingIsbn is True
assert _value.metadataProfile.value.skipPartsAndSets is True
assert _value.metadataProfile.value.skipSeriesSecondary is True
assert _value.metadataProfile.value.allowedLanguages == "string"
assert isinstance(_value.metadataProfile.value.minPages, int)
assert _value.metadataProfile.value.ignored == "string"
assert isinstance(_value.books, _ReadarrAuthorValueBooks)
assert isinstance(_value.series, _ReadarrAuthorValueSeries)
assert _value.name == "string"
assert _value.foreignAuthorId == "string"
_book = item.basedata.authors[0].books[0].author.lastBook
assert isinstance(_book.editions, _ReadarrEditions)
assert isinstance(_book.bookFiles, _ReadarrEditionsValueBookFiles)
assert isinstance(_book.seriesLinks, _ReadarrSeriesLinks)
_value = item.basedata.authors[0].books[0]
assert _value.author.images[0].url == "string"
assert _value.author.images[0].coverType == ImageType.POSTER.value
assert _value.author.remotePoster == "string"
assert _value.author.path == "string"
assert isinstance(_value.author.qualityProfileId, int)
assert isinstance(_value.author.metadataProfileId, int)
assert _value.author.monitored is True
assert _value.author.rootFolderPath == "string"
assert _value.author.genres[0] == "string"
assert _value.author.cleanName == "string"
assert _value.author.sortName == "string"
assert _value.author.sortNameLastFirst == "string"
assert isinstance(_value.author.tags[0], int)
assert _value.author.added == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.author.addOptions.monitor == MonitoringOptionsType.ALL.value
assert _value.author.addOptions.booksToMonitor[0] == "string"
assert _value.author.addOptions.monitored is True
assert _value.author.addOptions.searchForMissingBooks is True
assert isinstance(_value.author.ratings.votes, int)
assert isinstance(_value.author.ratings.value, float)
assert isinstance(_value.author.statistics.bookFileCount, int)
assert isinstance(_value.author.statistics.bookCount, int)
assert isinstance(_value.author.statistics.availableBookCount, int)
assert isinstance(_value.author.statistics.totalBookCount, int)
assert isinstance(_value.author.statistics.sizeOnDisk, int)
assert _value.images[0].url == "string"
assert _value.images[0].coverType == ImageType.POSTER.value
assert _value.links[0].url == "string"
assert _value.links[0].name == "string"
assert isinstance(_value.statistics.bookFileCount, int)
assert isinstance(_value.statistics.bookCount, int)
assert isinstance(_value.statistics.totalBookCount, int)
assert isinstance(_value.statistics.sizeOnDisk, int)
assert _value.added == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _value.addOptions.addType == AddTypes.AUTOMATIC.value
assert _value.addOptions.searchForNewBook is True
assert _value.remoteCover == "string"
_editions = item.basedata.authors[0].books[0].editions[0]
assert isinstance(_editions.id, int)
assert isinstance(_editions.bookId, int)
assert _editions.foreignEditionId == "string"
assert isinstance(_editions.titleSlug, int)
assert _editions.isbn13 == "string"
assert _editions.asin == "string"
assert _editions.title == "string"
assert _editions.language == "string"
assert _editions.overview == "string"
assert _editions.format == "string"
assert _editions.isEbook is True
assert _editions.publisher == "string"
assert isinstance(_editions.pageCount, int)
assert _editions.releaseDate == datetime(2021, 12, 10, 10, 0, 6, 987000)
assert _editions.images[0].url == "string"
assert _editions.images[0].coverType == ImageType.POSTER.value
assert _editions.links[0].url == "string"
assert _editions.links[0].name == "string"
assert isinstance(_editions.ratings.votes, int)
assert isinstance(_editions.ratings.value, float)
assert _editions.monitored is True
assert _editions.manualAdd is True
assert _editions.remoteCover == "string"
assert _editions.grabbed is True
assert item.basedata.authors[0].books[0].grabbed is True
assert item.basedata.monitoringOptions.monitor == MonitoringOptionsType.ALL.value
assert item.basedata.monitoringOptions.booksToMonitor[0] == "string"
assert item.basedata.monitoringOptions.monitored is True
@pytest.mark.asyncio
async def test_async_add_author(aresponses, readarr_client: ReadarrClient) -> None:
"""Test adding author."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/author",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_add_author(ReadarrAuthor("test"))
assert isinstance(data, ReadarrAuthor)
@pytest.mark.asyncio
async def test_async_edit_authors(aresponses, readarr_client: ReadarrClient) -> None:
"""Test editing authors."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/author",
"PUT",
aresponses.Response(
status=202,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/author.json"),
),
match_querystring=True,
)
data = await readarr_client.async_edit_authors(ReadarrAuthor("test"))
assert isinstance(data, ReadarrAuthor)
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/author/editor",
"PUT",
aresponses.Response(
status=202,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
await readarr_client.async_edit_authors(ReadarrAuthorEditor("test"))
@pytest.mark.asyncio
async def test_async_delete_authors(aresponses, readarr_client: ReadarrClient) -> None:
"""Test editing authors."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/author/0",
"DELETE",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
await readarr_client.async_delete_authors(0)
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/author/editor",
"DELETE",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
await readarr_client.async_delete_authors([0, 1])
@pytest.mark.asyncio
async def test_async_readarr_commands(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test Readarr commands."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/command",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
text=load_fixture("common/command.json"),
),
match_querystring=True,
)
data = await readarr_client.async_readarr_command(ReadarrCommands.APP_UPDATE_CHECK)
assert isinstance(data, Command)
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/command",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
text=load_fixture("common/command.json"),
),
match_querystring=True,
)
data = await readarr_client.async_readarr_command(ReadarrCommands.REFRESH_AUTHOR)
assert isinstance(data, Command)
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/command",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
text=load_fixture("common/command.json"),
),
match_querystring=True,
)
data = await readarr_client.async_readarr_command(ReadarrCommands.RESCAN_FOLDERS)
assert isinstance(data, Command)
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/command",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
text=load_fixture("common/command.json"),
),
match_querystring=True,
)
data = await readarr_client.async_readarr_command(ReadarrCommands.AUTHOR_SEARCH)
assert isinstance(data, Command)
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/command",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
text=load_fixture("common/command.json"),
),
match_querystring=True,
)
data = await readarr_client.async_readarr_command(ReadarrCommands.BOOK_SEARCH)
assert isinstance(data, Command)
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/command",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
text=load_fixture("common/command.json"),
),
match_querystring=True,
)
data = await readarr_client.async_readarr_command(ReadarrCommands.REFRESH_BOOK)
assert isinstance(data, Command)
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/command",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
text=load_fixture("common/command.json"),
),
match_querystring=True,
)
data = await readarr_client.async_readarr_command(ReadarrCommands.RENAME_AUTHOR)
assert isinstance(data, Command)
@pytest.mark.asyncio
async def test_async_add_book(aresponses, readarr_client: ReadarrClient) -> None:
"""Test adding book."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/book",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_add_book(ReadarrBook("test"))
assert isinstance(data, ReadarrBook)
@pytest.mark.asyncio
async def test_async_edit_book(aresponses, readarr_client: ReadarrClient) -> None:
"""Test editing book."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/book",
"PUT",
aresponses.Response(
status=202,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_edit_book(ReadarrBook("test"))
assert isinstance(data, ReadarrBook)
@pytest.mark.asyncio
async def test_async_delete_book(aresponses, readarr_client: ReadarrClient) -> None:
"""Test deleting book."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/book/0?deleteFiles=False&addImportListExclusion=True",
"DELETE",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
await readarr_client.async_delete_book(0)
@pytest.mark.asyncio
async def test_async_edit_book_files(aresponses, readarr_client: ReadarrClient) -> None:
"""Test editing book files."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/bookfile",
"PUT",
aresponses.Response(
status=202,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_edit_book_files(ReadarrBookFile("test"))
assert isinstance(data, ReadarrBookFile)
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/bookfile/editor",
"PUT",
aresponses.Response(
status=202,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = ReadarrBookFileEditor(
{"bookFileIds": 0, "quality": {"quality": "test", "revision": "test"}}
)
await readarr_client.async_edit_book_files(data)
@pytest.mark.asyncio
async def test_async_delete_book_files(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test deleting book files."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/bookfile/0",
"DELETE",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
await readarr_client.async_delete_book_files(0)
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/bookfile/bulk",
"DELETE",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
await readarr_client.async_delete_book_files([0])
@pytest.mark.asyncio
async def test_async_add_bookshelf(aresponses, readarr_client: ReadarrClient) -> None:
"""Test adding bookshelf."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/bookshelf",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
await readarr_client.async_add_bookshelf(ReadarrBookshelf("test"))
@pytest.mark.asyncio
async def test_async_get_development_config(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test getting development config."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/config/development",
"GET",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/config-development.json"),
),
match_querystring=True,
)
data = await readarr_client.async_get_development_config()
assert data.metadataSource == "string"
assert data.consoleLogLevel == "string"
assert data.logSql is False
assert isinstance(data.logRotate, int)
assert data.filterSentryEvents is True
assert isinstance(data.id, int)
@pytest.mark.asyncio
async def test_async_edit_development_config(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test editing development config."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/config/development",
"PUT",
aresponses.Response(
status=202,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_edit_development_config(
ReadarrDevelopmentConfig("test")
)
assert isinstance(data, ReadarrDevelopmentConfig)
@pytest.mark.asyncio
async def test_async_edit_import_list(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test editing import list."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/importlist",
"PUT",
aresponses.Response(
status=202,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_edit_import_list(ReadarrImportList("test"))
assert isinstance(data, ReadarrImportList)
@pytest.mark.asyncio
async def test_async_add_import_list(aresponses, readarr_client: ReadarrClient) -> None:
"""Test adding import list."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/importlist",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_add_import_list(ReadarrImportList("test"))
assert isinstance(data, ReadarrImportList)
@pytest.mark.asyncio
async def test_async_test_import_lists(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test import list testing."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/importlist/test",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
text=load_fixture("common/validation.json"),
),
match_querystring=True,
)
data = await readarr_client.async_test_import_lists(ReadarrImportList("test"))
assert data is True
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/importlist/testall",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
text=load_fixture("common/validation.json"),
),
match_querystring=True,
)
assert await readarr_client.async_test_import_lists() is True
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/importlist/testall",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
text=load_fixture("common/validation-failed.json"),
),
match_querystring=True,
)
assert await readarr_client.async_test_import_lists() is False
@pytest.mark.asyncio
async def test_async_importlist_action(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test performing import list action."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/importlist/action/newznabCategories",
"POST",
aresponses.Response(
status=200,
headers={"Content-Type": "application/json"},
text=load_fixture("readarr/importlistoptions.json"),
),
match_querystring=True,
)
data = ReadarrImportList({"name": "test"})
data = await readarr_client.async_importlist_action(data)
assert isinstance(data.options[0].value, int)
assert data.options[0].name == "Audio/Video"
assert isinstance(data.options[0].value, int)
assert data.options[0].hint == "(3020)"
assert isinstance(data.options[0].value, int)
@pytest.mark.asyncio
async def test_async_edit_metadata_profile(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test editing metadata profile."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/metadataprofile",
"PUT",
aresponses.Response(
status=202,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = ReadarrMetadataProfile("test")
data = await readarr_client.async_edit_metadata_profile(data)
assert isinstance(data, ReadarrMetadataProfile)
@pytest.mark.asyncio
async def test_async_add_metadata_profile(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test adding metadata profile."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/metadataprofile",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = ReadarrMetadataProfile("test")
data = await readarr_client.async_add_metadata_profile(data)
assert isinstance(data, ReadarrMetadataProfile)
@pytest.mark.asyncio
async def test_async_edit_metadata_provider(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test editing metadata profile."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/config/metadataprovider",
"PUT",
aresponses.Response(
status=202,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = ReadarrMetadataProvider("test")
data = await readarr_client.async_edit_metadata_provider(data)
assert isinstance(data, ReadarrMetadataProvider)
@pytest.mark.asyncio
async def test_async_edit_naming_config(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test editing naming config."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/config/naming",
"PUT",
aresponses.Response(
status=202,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_edit_naming_config(ReadarrNamingConfig("test"))
assert isinstance(data, ReadarrNamingConfig)
@pytest.mark.asyncio
async def test_async_edit_notification(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test editing notification."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/notification",
"PUT",
aresponses.Response(
status=202,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_edit_notification(ReadarrNotification("test"))
assert isinstance(data, ReadarrNotification)
@pytest.mark.asyncio
async def test_async_add_notification(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test adding notification."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/notification",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_add_notification(ReadarrNotification("test"))
assert isinstance(data, ReadarrNotification)
@pytest.mark.asyncio
async def test_async_test_notifications(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test notification testing."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/notification/test",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
text=load_fixture("common/validation.json"),
),
match_querystring=True,
)
data = ReadarrNotification("test")
assert await readarr_client.async_test_notifications(data) is True
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/notification/testall",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
text=load_fixture("common/validation.json"),
),
match_querystring=True,
)
assert await readarr_client.async_test_notifications() is True
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/notification/testall",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
text=load_fixture("common/validation-failed.json"),
),
match_querystring=True,
)
assert await readarr_client.async_test_notifications() is False
@pytest.mark.asyncio
async def test_async_download_release(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test download release."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/release",
"POST",
aresponses.Response(
status=201,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_download_release("test", 0)
assert isinstance(data, ReadarrRelease)
@pytest.mark.asyncio
async def test_async_edit_root_folder(
aresponses, readarr_client: ReadarrClient
) -> None:
"""Test editing root folder."""
aresponses.add(
"127.0.0.1:8787",
f"/api/{READARR_API}/rootfolder",
"PUT",
aresponses.Response(
status=202,
headers={"Content-Type": "application/json"},
),
match_querystring=True,
)
data = await readarr_client.async_edit_root_folder(RootFolder("test"))
assert isinstance(data, RootFolder)
| 51.258185 | 142 | 0.722786 | 45,816 | 369,469 | 5.711127 | 0.012245 | 0.107498 | 0.039532 | 0.026064 | 0.965815 | 0.937855 | 0.905676 | 0.872148 | 0.83667 | 0.821124 | 0 | 0.03074 | 0.153599 | 369,469 | 7,207 | 143 | 51.265298 | 0.805989 | 0.000268 | 0 | 0.78264 | 0 | 0.000998 | 0.059025 | 0.009868 | 0 | 0 | 0 | 0 | 0.836089 | 1 | 0 | false | 0 | 0.007554 | 0 | 0.007554 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
af8dfe10fb4ffa794286fa05a30430785960ba11 | 64 | py | Python | main.py | AnishN/Pyorama | e16389336e1c4969165967fe208b5b260188f57f | [
"MIT"
] | null | null | null | main.py | AnishN/Pyorama | e16389336e1c4969165967fe208b5b260188f57f | [
"MIT"
] | null | null | null | main.py | AnishN/Pyorama | e16389336e1c4969165967fe208b5b260188f57f | [
"MIT"
] | null | null | null | #import pyorama.raw.container_test
import pyorama.raw.sort_test | 32 | 35 | 0.859375 | 10 | 64 | 5.3 | 0.6 | 0.490566 | 0.603774 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.0625 | 64 | 2 | 36 | 32 | 0.883333 | 0.515625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
af95312df7410f57ffe4c2baf266ffcca6948811 | 2,939 | py | Python | uformer/utils/bundle_submissions.py | lulsheng/-AI-8- | 562365379c3e0191436537958a2519e4be905d4b | [
"Apache-2.0"
] | null | null | null | uformer/utils/bundle_submissions.py | lulsheng/-AI-8- | 562365379c3e0191436537958a2519e4be905d4b | [
"Apache-2.0"
] | null | null | null | uformer/utils/bundle_submissions.py | lulsheng/-AI-8- | 562365379c3e0191436537958a2519e4be905d4b | [
"Apache-2.0"
] | null | null | null | import paddle
import numpy as np
import scipy.io as sio
import os
import h5py
def bundle_submissions_raw(submission_folder, session):
"""
Bundles submission data for raw denoising
submission_folder Folder where denoised images reside
Output is written to <submission_folder>/bundled/. Please submit
the content of this folder.
"""
out_folder = os.path.join(submission_folder, session)
try:
os.mkdir(out_folder)
except:
pass
israw = True
eval_version = '1.0'
for i in range(50):
Idenoised = np.zeros((20,), dtype=np.object)
for bb in range(20):
filename = '%04d_%02d.mat' % (i + 1, bb + 1)
s = sio.loadmat(os.path.join(submission_folder, filename))
Idenoised_crop = s['Idenoised_crop']
Idenoised[bb] = Idenoised_crop
filename = '%04d.mat' % (i + 1)
sio.savemat(os.path.join(out_folder, filename), {'Idenoised':
Idenoised, 'israw': israw, 'eval_version': eval_version})
def bundle_submissions_srgb(submission_folder, session):
"""
Bundles submission data for sRGB denoising
submission_folder Folder where denoised images reside
Output is written to <submission_folder>/bundled/. Please submit
the content of this folder.
"""
out_folder = os.path.join(submission_folder, session)
try:
os.mkdir(out_folder)
except:
pass
israw = False
eval_version = '1.0'
for i in range(50):
Idenoised = np.zeros((20,), dtype=np.object)
for bb in range(20):
filename = '%04d_%02d.mat' % (i + 1, bb + 1)
s = sio.loadmat(os.path.join(submission_folder, filename))
Idenoised_crop = s['Idenoised_crop']
Idenoised[bb] = Idenoised_crop
filename = '%04d.mat' % (i + 1)
sio.savemat(os.path.join(out_folder, filename), {'Idenoised':
Idenoised, 'israw': israw, 'eval_version': eval_version})
def bundle_submissions_srgb_v1(submission_folder, session):
"""
Bundles submission data for sRGB denoising
submission_folder Folder where denoised images reside
Output is written to <submission_folder>/bundled/. Please submit
the content of this folder.
"""
out_folder = os.path.join(submission_folder, session)
try:
os.mkdir(out_folder)
except:
pass
israw = False
eval_version = '1.0'
for i in range(50):
Idenoised = np.zeros((20,), dtype=np.object)
for bb in range(20):
filename = '%04d_%d.mat' % (i + 1, bb + 1)
s = sio.loadmat(os.path.join(submission_folder, filename))
Idenoised_crop = s['Idenoised_crop']
Idenoised[bb] = Idenoised_crop
filename = '%04d.mat' % (i + 1)
sio.savemat(os.path.join(out_folder, filename), {'Idenoised':
Idenoised, 'israw': israw, 'eval_version': eval_version})
| 34.174419 | 70 | 0.628105 | 373 | 2,939 | 4.809651 | 0.190349 | 0.133779 | 0.050167 | 0.06689 | 0.946488 | 0.946488 | 0.946488 | 0.92029 | 0.92029 | 0.92029 | 0 | 0.023491 | 0.261313 | 2,939 | 85 | 71 | 34.576471 | 0.802856 | 0.193944 | 0 | 0.830508 | 0 | 0 | 0.08337 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050847 | false | 0.050847 | 0.084746 | 0 | 0.135593 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 |
afcc14d0423203ea3bf35b2135e92b5fdf997123 | 3,379 | py | Python | Classes/feature_inheritance.py | jatin69/mca101-OOPS | 4a63d3e419a151e32b9894bf2c5590174363148b | [
"MIT"
] | null | null | null | Classes/feature_inheritance.py | jatin69/mca101-OOPS | 4a63d3e419a151e32b9894bf2c5590174363148b | [
"MIT"
] | null | null | null | Classes/feature_inheritance.py | jatin69/mca101-OOPS | 4a63d3e419a151e32b9894bf2c5590174363148b | [
"MIT"
] | null | null | null | # pre requisite : accessing_self_class.py
'''
The Goal is to create a Object counting class.
'''
'''
Point of focus -
When there is a possibility that subclasses may be made.
Always use,
self.__class__.count +=1
to access the current class, instead of
A.count +=1
As when the property descends down to subclasses.
The absolute class naming will mess up things.
'''
'''
Proof of Concept
'''
print("\n\n ** Use of __class__ attribute ** ")
'''
This is class A.
It has a special property of counting objects
'''
class A:
count=0
def __init__(self):
# increment count of the calling class
self.__class__.count +=1
print("creating A object")
a= A()
print(A.count)
print(a.count)
'''
I created a class B, in the hope that
B will inherit this special property.
'''
class B(A):
'''
Need to initialise count=0 again,
to provide this class a fresh object counter,
or otherwise, it would have started counting
from A's count value (from that instant of time when the class B got inherited)
'''
count=0
pass
'''
Note that,
B inherits the function __init__()
Thus inherits the print("creating A object") statement.
So when B() is created, print executes as usual.
Note that, count is incremented of the calling class, i.e. B()
count is incremented only of B. As it is now B's property
'''
print("creating B object")
b=B()
print(A.count)
print(a.count)
print(B.count)
print(b.count)
'''
More test cases to verify the independence of properties.
'''
A()
print(A.count)
print(a.count)
print(B.count)
print(b.count)
print("creating B object")
B()
print("creating B object")
B()
print(A.count)
print(a.count)
print(B.count)
print(b.count)
'''
All the above happened as expected.
Now let us see what could have gone wrong.
if we used absolute class namings.
'''
'''
But instead, it kept on increasing A.count.
Causing unexpected linking.
'''
print("\n\n ** Absolute class name ** ")
'''
This is class A.
It has a special property of counting objects
'''
class A:
count=0
def __init__(self):
# increment count of A class
A.count +=1
print("creating A object")
a= A()
print(A.count)
print(a.count)
'''
I created a class B, in the hope that
B will inherit this special property.
'''
class B(A):
'''
Need to initialise count=0 again,
to provide this class a fresh object counter,
or otherwise, it would have started counting
from A's count value (from that instant of time when the class B got inherited)
'''
count=0
pass
'''
Note that,
B inherits the function __init__()
Thus inherits the print("creating A object") statement.
So when B() is created, print executes as usual.
Note that, count is incremented of the calling class, i.e. B()
count is incremented only of B. As it is now B's property
'''
print("creating B object")
b=B()
print(A.count)
print(a.count)
print(B.count)
print(b.count)
'''
More test cases to verify the independence of properties.
'''
A()
print(A.count)
print(a.count)
print(B.count)
print(b.count)
print("creating B object")
B()
print("creating B object")
B()
print(A.count)
print(a.count)
print(B.count)
print(b.count)
'''
The problem is pretty clear.
Even more blunders would happen,
if we didn't initialise the count=0 in class B
That way,
we could have hardly detected the bug, as the numbers seemed okay.
'''
| 19.308571 | 83 | 0.691921 | 561 | 3,379 | 4.114082 | 0.247772 | 0.095321 | 0.076257 | 0.097054 | 0.714905 | 0.714905 | 0.714905 | 0.714905 | 0.714905 | 0.714905 | 0 | 0.004053 | 0.196804 | 3,379 | 174 | 84 | 19.41954 | 0.846352 | 0.166025 | 0 | 0.935484 | 0 | 0 | 0.191231 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0.032258 | 0 | 0 | 0.16129 | 0.612903 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
bb6c1f778399ecead02ff543f75e54e0167e1e26 | 93 | py | Python | up/tasks/distill/losses/__init__.py | ModelTC/EOD | 164bff80486e9ae6a095a97667b365c46ceabd86 | [
"Apache-2.0"
] | 196 | 2021-10-30T05:15:36.000Z | 2022-03-30T18:43:40.000Z | up/tasks/distill/losses/__init__.py | ModelTC/EOD | 164bff80486e9ae6a095a97667b365c46ceabd86 | [
"Apache-2.0"
] | 12 | 2021-10-30T11:33:28.000Z | 2022-03-31T14:22:58.000Z | up/tasks/distill/losses/__init__.py | ModelTC/EOD | 164bff80486e9ae6a095a97667b365c46ceabd86 | [
"Apache-2.0"
] | 23 | 2021-11-01T07:26:17.000Z | 2022-03-27T05:55:37.000Z | from .ce_loss import * # noqa
from .kl_loss import * # noqa
from .l2_loss import * # noqa
| 23.25 | 30 | 0.677419 | 15 | 93 | 4 | 0.466667 | 0.5 | 0.7 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013889 | 0.225806 | 93 | 3 | 31 | 31 | 0.819444 | 0.150538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
bb8fcd2ce08ddff6bd38acbdf2de1a0fcd9ad94a | 119 | py | Python | toolkit/visualization/__init__.py | Anonymous502/siamfda-for-eccv | 72dff5c174b7ebe30c59a6e21bb6f06fdb06c3fb | [
"Apache-2.0"
] | 4,318 | 2019-05-08T05:08:06.000Z | 2022-03-31T03:31:56.000Z | toolkit/visualization/__init__.py | soEdwardzh/pysot | 052b9678a7ed336752f74dc6af31cc00eb004551 | [
"Apache-2.0"
] | 503 | 2019-05-09T09:41:04.000Z | 2022-03-14T09:42:50.000Z | toolkit/visualization/__init__.py | soEdwardzh/pysot | 052b9678a7ed336752f74dc6af31cc00eb004551 | [
"Apache-2.0"
] | 1,232 | 2019-05-08T05:53:17.000Z | 2022-03-25T10:23:51.000Z | from .draw_f1 import draw_f1
from .draw_success_precision import draw_success_precision
from .draw_eao import draw_eao
| 29.75 | 58 | 0.87395 | 20 | 119 | 4.8 | 0.35 | 0.25 | 0.416667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018692 | 0.10084 | 119 | 3 | 59 | 39.666667 | 0.878505 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
bbd10375598e1ea52deece63dec26eb627a853d2 | 90 | py | Python | learning_to_expire_pytorch/__init__.py | lucidrains/learning-to-expire-pytorch | 64cffccc9fccb3da9becc2e87a6ca1e19b79d348 | [
"MIT"
] | 27 | 2020-10-12T01:14:02.000Z | 2022-02-21T08:32:52.000Z | learning_to_expire_pytorch/__init__.py | lucidrains/learning-to-expire-pytorch | 64cffccc9fccb3da9becc2e87a6ca1e19b79d348 | [
"MIT"
] | null | null | null | learning_to_expire_pytorch/__init__.py | lucidrains/learning-to-expire-pytorch | 64cffccc9fccb3da9becc2e87a6ca1e19b79d348 | [
"MIT"
] | 4 | 2020-10-19T12:07:31.000Z | 2021-05-24T13:03:01.000Z | from learning_to_expire_pytorch.learning_to_expire_pytorch import ExpireSpanTransformerXL
| 45 | 89 | 0.944444 | 11 | 90 | 7.181818 | 0.636364 | 0.253165 | 0.405063 | 0.582278 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044444 | 90 | 1 | 90 | 90 | 0.918605 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
bbdc840ceb9e10ba9fbe526a45acc3350ea2dfc7 | 153 | py | Python | keras_batchflow/base/batch_generators/__init__.py | maxsch3/batchflow | 2d36fad3f4a816cef82c1902e52a43a051ea1892 | [
"MIT"
] | null | null | null | keras_batchflow/base/batch_generators/__init__.py | maxsch3/batchflow | 2d36fad3f4a816cef82c1902e52a43a051ea1892 | [
"MIT"
] | 58 | 2019-10-16T20:23:49.000Z | 2022-02-10T00:41:25.000Z | keras_batchflow/base/batch_generators/__init__.py | maxsch3/batchflow | 2d36fad3f4a816cef82c1902e52a43a051ea1892 | [
"MIT"
] | 1 | 2019-10-29T09:58:43.000Z | 2019-10-29T09:58:43.000Z | from .batch_generator import BatchGenerator
from .triplet_pk_generator import TripletPKGenerator
from .triplet_pk_generator2d import TripletPKGenerator2D | 51 | 56 | 0.908497 | 17 | 153 | 7.882353 | 0.588235 | 0.223881 | 0.19403 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014085 | 0.071895 | 153 | 3 | 56 | 51 | 0.929577 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
a583a88c366872b00b41bad1184a9501e5bbec11 | 2,814 | py | Python | interpolation/splines/tests/test_derivatives.py | vishalbelsare/interpolation.py | 116d144700a1c78b5ad86eee097d064610be8325 | [
"BSD-2-Clause"
] | 110 | 2015-03-16T05:40:06.000Z | 2022-03-17T22:32:51.000Z | interpolation/splines/tests/test_derivatives.py | vishalbelsare/interpolation.py | 116d144700a1c78b5ad86eee097d064610be8325 | [
"BSD-2-Clause"
] | 70 | 2016-01-18T11:51:30.000Z | 2021-09-27T13:21:41.000Z | interpolation/splines/tests/test_derivatives.py | vishalbelsare/interpolation.py | 116d144700a1c78b5ad86eee097d064610be8325 | [
"BSD-2-Clause"
] | 32 | 2016-06-15T16:27:21.000Z | 2022-03-24T16:33:16.000Z | def test_derivatives():
from interpolation.splines.eval_splines import eval_spline, eval_cubic, eval_linear
import numpy as np
grid = ((0.0, 1.0, 10),)
# grid = ((0.0, 1.0, 0.1),(0.0, 1.0, 0.1))
C = np.linspace(0, 1, 10)
Cx = np.concatenate([C[:, None], C[:, None] * 2])
points = np.random.random((10, 1))
eval_spline(
grid, C, (-0.1,), out=None, order=1, diff="None", extrap_mode="nearest"
) # no alloc
eval_spline(
grid, C, (-0.1,), out=None, order=1, diff="None", extrap_mode="constant"
) # no alloc
eval_spline(
grid, C, (-0.1,), out=None, order=1, diff="None", extrap_mode="linear"
) # no alloc
eval_spline(
grid, C, (1.1,), out=None, order=1, diff="None", extrap_mode="nearest"
) # no alloc
eval_spline(
grid, C, (1.1,), out=None, order=1, diff="None", extrap_mode="constant"
) # no alloc
eval_spline(
grid, C, (1.1,), out=None, order=1, diff="None", extrap_mode="linear"
) # no alloc
eval_spline(
grid, Cx, points[0, :], out=None, order=1, diff="None", extrap_mode="linear"
)
eval_spline(grid, C, points, out=None, order=1, diff="None", extrap_mode="linear")
eval_spline(grid, Cx, points, out=None, order=1, diff="None", extrap_mode="linear")
orders = str(((0,), (1,)))
eval_spline(
grid, C, points[0, :], out=None, order=1, diff=orders, extrap_mode="linear"
) # no alloc
eval_spline(
grid, Cx, points[0, :], out=None, order=1, diff=orders, extrap_mode="linear"
)
eval_spline(grid, C, points, out=None, order=1, diff=orders, extrap_mode="linear")
eval_spline(grid, Cx, points, out=None, order=1, diff=orders, extrap_mode="linear")
out = eval_spline(
grid, Cx, points, out=None, order=1, diff=orders, extrap_mode="linear"
)
out2 = np.zeros_like(out)
eval_spline(grid, Cx, points, out=out2, order=1, diff=orders, extrap_mode="linear")
print(abs(out - out2).max())
k = 3
eval_spline(grid, C, points[0, :], out=None, order=3, diff="None", extrap_mode="linear")
eval_spline(grid, C, points, out=None, order=k, diff="None", extrap_mode="linear")
eval_spline(
grid, Cx, points[0, :], out=None, order=k, diff="None", extrap_mode="linear"
)
eval_spline(grid, Cx, points, out=None, order=k, diff="None", extrap_mode="linear")
orders = str(((0,), (1,)))
eval_spline(grid, C, points[0, :], out=None, order=k, diff=orders, extrap_mode="linear")
eval_spline(grid, C, points, out=None, order=k, diff=orders, extrap_mode="linear")
eval_spline(
grid, Cx, points[0, :], out=None, order=k, diff=orders, extrap_mode="linear"
)
eval_spline(grid, Cx, points, out=None, order=k, diff=orders, extrap_mode="linear")
| 32.72093 | 92 | 0.607676 | 428 | 2,814 | 3.873832 | 0.10514 | 0.144753 | 0.19421 | 0.109771 | 0.874548 | 0.866707 | 0.866707 | 0.828709 | 0.828709 | 0.800965 | 0 | 0.031025 | 0.209666 | 2,814 | 85 | 93 | 33.105882 | 0.714478 | 0.036603 | 0 | 0.220339 | 0 | 0 | 0.072539 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016949 | false | 0 | 0.033898 | 0 | 0.050847 | 0.016949 | 0 | 0 | 0 | null | 0 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
a5a65a4361f40b93f4f5104035b57ffcbcd77547 | 49 | py | Python | mojo/__init__.py | lukhar/tango | cf0226d3295d5ac02c8e1f7228ec8ef34d7b3297 | [
"MIT"
] | null | null | null | mojo/__init__.py | lukhar/tango | cf0226d3295d5ac02c8e1f7228ec8ef34d7b3297 | [
"MIT"
] | null | null | null | mojo/__init__.py | lukhar/tango | cf0226d3295d5ac02c8e1f7228ec8ef34d7b3297 | [
"MIT"
] | null | null | null | from . import mojo
def main():
mojo.mojo()
| 8.166667 | 18 | 0.591837 | 7 | 49 | 4.142857 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.265306 | 49 | 5 | 19 | 9.8 | 0.805556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
a5b5f22c690245722e76875ea3cf2bee3b2a0fad | 58 | py | Python | matrix/__init__.py | RememberTheAir/tg-github-updates | bad529415f4f2de2748f6c8ea5af5b81ab261a6c | [
"MIT"
] | 4 | 2020-03-02T10:13:27.000Z | 2020-11-11T18:24:19.000Z | matrix/__init__.py | RememberTheAir/tg-github-updates | bad529415f4f2de2748f6c8ea5af5b81ab261a6c | [
"MIT"
] | 3 | 2020-03-26T09:52:38.000Z | 2021-05-17T06:14:50.000Z | matrix/__init__.py | RememberTheAir/tg-github-updates | bad529415f4f2de2748f6c8ea5af5b81ab261a6c | [
"MIT"
] | 3 | 2020-05-17T02:25:14.000Z | 2020-09-30T15:46:47.000Z | from .matrix import Matrix
from .matrix import FakeMatrix
| 19.333333 | 30 | 0.827586 | 8 | 58 | 6 | 0.5 | 0.416667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.137931 | 58 | 2 | 31 | 29 | 0.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
3c17f4410bbecd489912d995e8c5a7ff19e2e9be | 11,578 | py | Python | src/model_ops/fc_nn.py | hwang595/Draco | 8472912cce82e6d74087a402fd417e7a837517ab | [
"MIT"
] | 21 | 2018-09-19T06:30:57.000Z | 2022-03-25T22:44:39.000Z | src/model_ops/fc_nn.py | hwang595/Draco | 8472912cce82e6d74087a402fd417e7a837517ab | [
"MIT"
] | 3 | 2018-12-31T05:44:22.000Z | 2021-09-09T15:59:46.000Z | src/model_ops/fc_nn.py | hwang595/Draco | 8472912cce82e6d74087a402fd417e7a837517ab | [
"MIT"
] | 12 | 2018-09-19T06:30:59.000Z | 2021-12-13T09:53:54.000Z | import torch
from torch import nn
import torch.nn.functional as F
import sys
import pandas as pd
import numpy as np
import blosc
from torch.autograd import Variable
from mpi4py import MPI
from utils import err_simulation
sys.path.insert(0, '../compress_gradient')
from compress_gradient import compress
#SEED_=428
#torch.manual_seed(SEED_)
# we use fc nn here for our simple case
class FC_NN(nn.Module):
def __init__(self):
super(FC_NN, self).__init__()
self.fc1 = nn.Linear(784, 800)
self.fc2 = nn.Linear(800, 500)
self.fc3 = nn.Linear(500, 10)
self.relu = nn.ReLU()
self.sigmoid = nn.Sigmoid()
def forward(self, x):
x = x.view(-1, x.size()[1]*x.size()[2]*x.size()[3])
x = self.fc1(x)
x = self.relu(x)
x = self.fc2(x)
x = self.relu(x)
x = self.fc3(x)
x = self.sigmoid(x)
return x
def name(self):
return 'fc_nn'
# we use fc nn here for our simple case
class FC_NN_Split(nn.Module):
def __init__(self):
super(FC_NN_Split, self).__init__()
self.fc1 = nn.Linear(784, 800)
self.fc2 = nn.Linear(800, 500)
self.fc3 = nn.Linear(500, 10)
self.relu = nn.ReLU()
self.sigmoid = nn.Sigmoid()
# helper
self.full_modules = [self.fc1, self.fc2, self.fc3]
self._init_channel_index = len(self.full_modules)*2
def forward(self, x):
'''
split layers
'''
self.output = []
self.input = []
x = x.view(-1, x.size()[1]*x.size()[2]*x.size()[3])
x = Variable(x.data, requires_grad=True)
self.input.append(x)
x = self.fc1(x)
self.output.append(x)
x = Variable(x.data, requires_grad=True)
self.input.append(x)
x = self.relu(x)
self.output.append(x)
x = Variable(x.data, requires_grad=True)
self.input.append(x)
x = self.fc2(x)
self.output.append(x)
x = Variable(x.data, requires_grad=True)
self.input.append(x)
x = self.relu(x)
self.output.append(x)
x = Variable(x.data, requires_grad=True)
self.input.append(x)
x = self.fc3(x)
self.output.append(x)
x = Variable(x.data, requires_grad=True)
self.input.append(x)
x = self.sigmoid(x)
self.output.append(x)
return x
@property
def fetch_init_channel_index(self):
return self._init_channel_index
def backward_normal(self, g, communicator, req_send_check, cur_step, fail_workers, err_mode, compress_grad):
mod_avail_index = len(self.full_modules)-1
#channel_index = len(self.full_modules)*2-2
channel_index = self._init_channel_index - 2
mod_counters_ = [0]*len(self.full_modules)
for i, output in reversed(list(enumerate(self.output))):
req_send_check[-1].wait()
if i == (len(self.output) - 1):
# for last node, use g
output.backward(g)
else:
output.backward(self.input[i+1].grad.data)
tmp_grad_weight = self.full_modules[mod_avail_index].weight.grad
tmp_grad_bias = self.full_modules[mod_avail_index].bias.grad
# specific for this fc nn setting
if mod_avail_index == len(self.full_modules)-1:
if not pd.isnull(tmp_grad_weight):
grads = tmp_grad_weight.data.numpy().astype(np.float64)
############################### simulation here #########################################
if communicator.Get_rank() in fail_workers:
simulation_grad = err_simulation(grad=grads, mode=err_mode)
if compress_grad == 'compress':
_compressed_grad = compress(simulation_grad)
req_isend = communicator.isend(_compressed_grad, dest=0, tag=88+channel_index)
else:
req_isend = communicator.Isend([simulation_grad, MPI.DOUBLE], dest=0, tag=88+channel_index)
else:
if compress_grad == 'compress':
_compressed_grad = compress(grads)
req_isend = communicator.isend(_compressed_grad, dest=0, tag=88+channel_index)
else:
req_isend = communicator.Isend([grads, MPI.DOUBLE], dest=0, tag=88+channel_index)
#########################################################################################
req_send_check.append(req_isend)
# update counters
mod_avail_index-=1
channel_index-=1
else:
continue
else:
if not pd.isnull(tmp_grad_weight) and not pd.isnull(tmp_grad_bias):
# we always send bias first
if mod_counters_[mod_avail_index] == 0:
grads = tmp_grad_bias.data.numpy().astype(np.float64)
############################### simulation here #########################################
if communicator.Get_rank() in fail_workers:
simulation_grad = err_simulation(grad=grads, mode=err_mode)
if compress_grad == 'compress':
_compressed_grad = compress(simulation_grad)
req_isend = communicator.isend(_compressed_grad, dest=0, tag=88+channel_index)
else:
req_isend = communicator.Isend([simulation_grad, MPI.DOUBLE], dest=0, tag=88+channel_index)
else:
if compress_grad == 'compress':
_compressed_grad = compress(grads)
req_isend = communicator.isend(_compressed_grad, dest=0, tag=88+channel_index)
else:
req_isend = communicator.Isend([grads, MPI.DOUBLE], dest=0, tag=88+channel_index)
#########################################################################################
req_send_check.append(req_isend)
channel_index-=1
mod_counters_[mod_avail_index]+=1
elif mod_counters_[mod_avail_index] == 1:
grads = tmp_grad_weight.data.numpy().astype(np.float64)
############################### simulation here #########################################
if communicator.Get_rank() in fail_workers:
simulation_grad = err_simulation(grad=grads, mode=err_mode)
if compress_grad == 'compress':
_compressed_grad = compress(simulation_grad)
req_isend = communicator.isend(_compressed_grad, dest=0, tag=88+channel_index)
else:
req_isend = communicator.Isend([simulation_grad, MPI.DOUBLE], dest=0, tag=88+channel_index)
else:
if compress_grad == 'compress':
_compressed_grad = compress(grads)
req_isend = communicator.isend(_compressed_grad, dest=0, tag=88+channel_index)
else:
req_isend = communicator.Isend([grads, MPI.DOUBLE], dest=0, tag=88+channel_index)
#########################################################################################
req_send_check.append(req_isend)
channel_index-=1
mod_counters_[mod_avail_index]+=1
# update counters
mod_avail_index-=1
else:
continue
if mod_counters_[0] == 1:
req_send_check[-1].wait()
grads = tmp_grad_weight.data.numpy().astype(np.float64)
############################### simulation here #########################################
if communicator.Get_rank() in fail_workers:
simulation_grad = err_simulation(grad=grads, mode=err_mode)
if compress_grad == 'compress':
_compressed_grad = compress(simulation_grad)
req_isend = communicator.isend(_compressed_grad, dest=0, tag=88+channel_index)
else:
req_isend = communicator.Isend([simulation_grad, MPI.DOUBLE], dest=0, tag=88+channel_index)
else:
if compress_grad == 'compress':
_compressed_grad = compress(grads)
req_isend = communicator.isend(_compressed_grad, dest=0, tag=88+channel_index)
else:
req_isend = communicator.Isend([grads, MPI.DOUBLE], dest=0, tag=88+channel_index)
#########################################################################################
req_send_check.append(req_isend)
return req_send_check
def backward_coded(self, g, cur_step):
grad_aggregate_list = []
mod_avail_index = len(self.full_modules)-1
#channel_index = len(self.full_modules)*2-2
channel_index = self._init_channel_index - 2
mod_counters_ = [0]*len(self.full_modules)
for i, output in reversed(list(enumerate(self.output))):
if i == (len(self.output) - 1):
# for last node, use g
output.backward(g)
else:
output.backward(self.input[i+1].grad.data)
tmp_grad_weight = self.full_modules[mod_avail_index].weight.grad
tmp_grad_bias = self.full_modules[mod_avail_index].bias.grad
# specific for this fc nn setting
if not pd.isnull(tmp_grad_weight) and not pd.isnull(tmp_grad_bias):
# we always send bias first
if mod_counters_[mod_avail_index] == 0:
grads = tmp_grad_bias.data.numpy().astype(np.float64)
grad_aggregate_list.append(grads)
channel_index-=1
mod_counters_[mod_avail_index]+=1
elif mod_counters_[mod_avail_index] == 1:
grads = tmp_grad_weight.data.numpy().astype(np.float64)
grad_aggregate_list.append(grads)
channel_index-=1
mod_counters_[mod_avail_index]+=1
# update counters
mod_avail_index-=1
else:
continue
if mod_counters_[0] == 1:
grads = tmp_grad_weight.data.numpy().astype(np.float64)
grad_aggregate_list.append(grads)
return grad_aggregate_list
@property
def name(self):
return 'fc_nn' | 48.443515 | 127 | 0.490586 | 1,218 | 11,578 | 4.415435 | 0.106732 | 0.066939 | 0.043511 | 0.074377 | 0.872629 | 0.856824 | 0.843808 | 0.827259 | 0.810896 | 0.810896 | 0 | 0.022201 | 0.369753 | 11,578 | 239 | 128 | 48.443515 | 0.714814 | 0.042063 | 0 | 0.853535 | 0 | 0 | 0.009031 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.055556 | 0.015152 | 0.146465 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
3c6668342f38f86a1a619daa1fd78cdaf6aa6d05 | 118 | py | Python | parallel_wavegan/datasets/__init__.py | reuben/ParallelWaveGAN | a22018e6e6be1f9381b003496cc285bdd5a4a284 | [
"MIT"
] | null | null | null | parallel_wavegan/datasets/__init__.py | reuben/ParallelWaveGAN | a22018e6e6be1f9381b003496cc285bdd5a4a284 | [
"MIT"
] | null | null | null | parallel_wavegan/datasets/__init__.py | reuben/ParallelWaveGAN | a22018e6e6be1f9381b003496cc285bdd5a4a284 | [
"MIT"
] | null | null | null | from parallel_wavegan.datasets.audio_mel_dataset import * # NOQA
from parallel_wavegan.datasets.preprocess import *
| 39.333333 | 65 | 0.838983 | 15 | 118 | 6.333333 | 0.666667 | 0.252632 | 0.4 | 0.568421 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.101695 | 118 | 2 | 66 | 59 | 0.896226 | 0.033898 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
b1e68c7d472e39e6d5bf765dc374a186d7ad4e34 | 52,996 | py | Python | mysite/patterns/38.py | BioinfoNet/prepub | e19c48cabf8bd22736dcef9308a5e196cfd8119a | [
"MIT"
] | 19 | 2016-06-17T23:36:27.000Z | 2020-01-13T16:41:55.000Z | mysite/patterns/38.py | BioinfoNet/prepub | e19c48cabf8bd22736dcef9308a5e196cfd8119a | [
"MIT"
] | 13 | 2016-06-06T12:57:05.000Z | 2019-02-05T02:21:00.000Z | patterns/38.py | OmnesRes/GRIMMER | 173c99ebdb6a9edb1242d24a791d0c5d778ff643 | [
"MIT"
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0.52146814404: [0.7105263157895, 0.2894736842105], 0.50207756233: [0.3947368421053, 0.6052631578947], 0.35457063712: [0.4736842105263, 0.5263157894737], 0.69252077562: [0.2105263157895, 0.7894736842105], 0.31301939058: [0.9473684210526, 0.0526315789474], 0.85664819945: [0.3421052631579, 0.6578947368421], 0.50969529086: [0.7368421052632, 0.2631578947368]} | 10,599.2 | 18,235 | 0.784795 | 6,594 | 52,996 | 6.306642 | 0.109342 | 0.004136 | 0.003246 | 0.025586 | 0.897321 | 0.897321 | 0.897321 | 0.897321 | 0.897321 | 0.897321 | 0 | 0.83555 | 0.062099 | 52,996 | 5 | 18,236 | 10,599.2 | 0.001107 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 |
591ff5379d693cb90ff07360d1fc76c735f4cc65 | 243 | py | Python | crossword_libs/__init__.py | richard-shepherd/crossword-helper | f7d9bc7e2cce537f7280a1defa5c846ee236b0a4 | [
"MIT"
] | null | null | null | crossword_libs/__init__.py | richard-shepherd/crossword-helper | f7d9bc7e2cce537f7280a1defa5c846ee236b0a4 | [
"MIT"
] | null | null | null | crossword_libs/__init__.py | richard-shepherd/crossword-helper | f7d9bc7e2cce537f7280a1defa5c846ee236b0a4 | [
"MIT"
] | null | null | null | from .cryptic_utils import BitsAndPieces
from .cryptic_utils import Clue
from .utils import Utils
from .word_utils import AnagramHelper
from .word_utils import DefinitionHelper
from .word_utils import WordManager
from .word_utils import Words
| 30.375 | 40 | 0.855967 | 34 | 243 | 5.941176 | 0.323529 | 0.381188 | 0.257426 | 0.376238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115226 | 243 | 7 | 41 | 34.714286 | 0.939535 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 7 |
3ca2f0d9648675bb394c74635e70d3e1baba8507 | 104,209 | py | Python | Uncertainty/data/case-de/case_de_81.py | thanever/SOC | 9f30d1a9c7610a68de9c178a1170bdf1c8ca11d4 | [
"MIT"
] | null | null | null | Uncertainty/data/case-de/case_de_81.py | thanever/SOC | 9f30d1a9c7610a68de9c178a1170bdf1c8ca11d4 | [
"MIT"
] | null | null | null | Uncertainty/data/case-de/case_de_81.py | thanever/SOC | 9f30d1a9c7610a68de9c178a1170bdf1c8ca11d4 | [
"MIT"
] | null | null | null | from numpy import array
def case_de_81():
ppc = {"version": '2'}
ppc["baseMVA"] = 100.0
ppc["bus"] = array([
[75, 2, 124.9, 24.98, 0, 0, 5, 1.0, 0, 380.0, 0, 1.1, 0.9, 0.6, 10 ],
[502, 2, 276.28, 55.26, 0, 0, 5, 1.0, 0, 220.0, 0, 1.1, 0.9, 0.6, 10 ],
[44, 2, 170.28, 34.06, 0, 0, 5, 1.0, 0, 220.0, 0, 1.1, 0.9, 0.6, 10 ],
[492, 2, 93.99, 18.8, 0, 0, 5, 1.0, 0, 220.0, 0, 1.1, 0.9, 0.6, 10 ],
[180, 2, 54.53, 10.91, 0, 0, 5, 1.0, 0, 220.0, 0, 1.1, 0.9, 0.6, 10 ],
[46, 1, 0, 0, 0, 0, 5, -3.236203647579902e+18,0, 380.0, 0, 1.1, 0.9, 0.6, 10 ],
[21, 2, 1094.57, 218.91, 0, 0, 5, 1.0, 0, 380.0, 0, 1.1, 0.9, 0.6, 10 ],
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[2, 0, 0, 3, 0, 0.0, 0, 1.5, 0.75, 1.2, 0.6 ],
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[2, 0, 0, 3, 0, 0.0, 0, 1.5, 0.75, 1.2, 0.6 ],
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[2, 0, 0, 3, 0, 0.0, 0, 1.5, 0.75, 1.2, 0.6 ],
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[2, 0, 0, 3, 0, 0.0, 0, 1.5, 0.75, 1.2, 0.6 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
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[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
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[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
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[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
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[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
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[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
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[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
[2, 0, 0, 3, 0, 0.0, 0, 0.75, 0.375, 0.6, 0.3 ],
])
return ppc | 126.008464 | 192 | 0.30434 | 20,130 | 104,209 | 1.57541 | 0.043964 | 0.352978 | 0.379813 | 0.4209 | 0.606439 | 0.548324 | 0.546464 | 0.5324 | 0.528269 | 0.528269 | 0 | 0.585281 | 0.482223 | 104,209 | 827 | 193 | 126.008464 | 0.002465 | 0 | 0 | 0.326481 | 0 | 0 | 0.000326 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.001209 | false | 0 | 0.001209 | 0 | 0.003628 | 0 | 0 | 0 | 1 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
3ccf2cebe93b8f415f7cff1d636dc0e03f4f430b | 748 | py | Python | #7 Kelas Dan Object/Kelas/Kelas Lanjutan/main.py | HudaFiqri/belajarPython | 8bc03e10339ce455afa052c635657b959abef493 | [
"Apache-2.0"
] | 5 | 2019-05-04T03:20:31.000Z | 2021-02-15T12:35:52.000Z | #7 Kelas Dan Object/Kelas/Kelas Lanjutan/main.py | kuhakuu04/belajarPython | 8bc03e10339ce455afa052c635657b959abef493 | [
"Apache-2.0"
] | null | null | null | #7 Kelas Dan Object/Kelas/Kelas Lanjutan/main.py | kuhakuu04/belajarPython | 8bc03e10339ce455afa052c635657b959abef493 | [
"Apache-2.0"
] | null | null | null | class counting:
def tambah(self, value1, value2 ):
self.value1 = value1
self.value2 = value2
output = ( self.value1 + self.value2 )
return output
def kurang( self, value1, value2 ):
self.value1 = value1
self.value2 = value2
output = ( value1 - value2 )
print(output)
def kali( self, value1, value2 ):
self.value1 = value1
self.value2 = value2
output = ( self.value1 * self.value2 )
return output
def bagi( self, value1, value2 ):
self.value1 = value1
self.value2 = value2
output = ( self.value1, self.value2 )
return output
ct = counting()
print(ct.tambah(5, 5))
| 18.243902 | 46 | 0.541444 | 79 | 748 | 5.126582 | 0.189873 | 0.271605 | 0.276543 | 0.197531 | 0.785185 | 0.785185 | 0.785185 | 0.785185 | 0.785185 | 0.785185 | 0 | 0.071579 | 0.364973 | 748 | 40 | 47 | 18.7 | 0.781053 | 0 | 0 | 0.478261 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.173913 | false | 0 | 0 | 0 | 0.347826 | 0.086957 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
595c469617b21f9f13ea2b8fc8fdcee412fc5689 | 62,828 | py | Python | ADoCSM/Automated_Documentation/Modelica4PapyrusUML/UML_ClassDiagram_Interface.py | ErnestoVivas/X-HD | 28bde8dc8a5d7e8a9a2e5ceef9899dce91dde7eb | [
"BSD-3-Clause"
] | null | null | null | ADoCSM/Automated_Documentation/Modelica4PapyrusUML/UML_ClassDiagram_Interface.py | ErnestoVivas/X-HD | 28bde8dc8a5d7e8a9a2e5ceef9899dce91dde7eb | [
"BSD-3-Clause"
] | null | null | null | ADoCSM/Automated_Documentation/Modelica4PapyrusUML/UML_ClassDiagram_Interface.py | ErnestoVivas/X-HD | 28bde8dc8a5d7e8a9a2e5ceef9899dce91dde7eb | [
"BSD-3-Clause"
] | null | null | null | import os
import shutil
import numpy as np
from pathlib import Path
import linecache
import General
import ClassDiagram
ClassConverter = General.Class_Converter()
ClassDiagram = ClassDiagram.ClassDiagram()
DataCheck = General.DataCheck
class UML_ClassDiagram_Interface():
def convertModelicatoSysML(self,filename_input,filename_output):
DataCheck.filename_exist(filename_input)
readfile_in = open(filename_input,"r")
Lines = Instanz.NumberofLines(filename_input)
ModelList=[]
ModelRowList= []
generalization = []
Composition = []
AreaList = []
Compare = []
Abstraction = []
ProfilePartial = []
enumList = []
readfile_out = open(filename_output,"w")
ClassCounter = []
counter = 0
readfile_out.write('<?xml version="1.0" encoding="UTF-8"?>')
readfile_out.write('\n<xmi:XMI xmi:version="20131001" xmlns:xmi="http://www.omg.org/spec/XMI/20131001" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:Modelica4SysML="http:///schemas/Modelica4SysML/_Oq8REN7HEeicI-a70S-euA/2" xmlns:ecore="http://www.eclipse.org/emf/2002/Ecore" xmlns:uml="http://www.eclipse.org/uml2/5.0.0/UML" xsi:schemaLocation="http:///schemas/Modelica4SysML/_Oq8REN7HEeicI-a70S-euA/2 Modelica4SysML.profile.uml#_Oq8REd7HEeicI-a70S-euA">')
#Muss angepasst werden
readfile_out.write(' \n <uml:Model xmi:id="_8BnUYN6YEeigT7NLOUUnfg" name="PayprusUMLTest" viewpoint="">\n')
for line in readfile_in.readlines():
counter =counter+1
x = line.split()
x_array = np.asarray(x)
if len(x_array) > 0:
#Class
if x_array[0] == "Class":
ClassCounter.append(counter)
x_array[0] = x_array[0].lstrip()
Model = x_array[1]
if line.find("<<")>-1:
if line.find(">>")>-1:
Stereotype = (line[ line.find("<<")+2:line.find(">>")])
Stereotype = Stereotype.lstrip()
ModelHeader = '\n <packagedElement xmi:type="uml:Class" xmi:id="'+Model+'_ID" '+'name="'+Model+'" visibility="public">'
ModelRowList.append(counter)
ModelList.append(Model)
readfile_out.write(ModelHeader)
continue
if x_array[0] == "interface":
ClassCounter.append(counter)
x_array[0] = x_array[0].lstrip()
Model = x_array[1]
if line.find("<<")>-1:
if line.find(">>")>-1:
Stereotype = (line[ line.find("<<")+2:line.find(">>")])
Stereotype = Stereotype.lstrip()
ModelHeader = '\n <packagedElement xmi:type="uml:Interface" xmi:id="'+Model+'_ID" '+'name="'+Model+'" visibility="public">'
ModelRowList.append(counter)
ModelList.append(Model)
readfile_out.write(ModelHeader)
continue
if x_array[0] == "enum":
enumList = []
ClassCounter.append(counter)
enumList.append(counter)
x_array[0] = x_array[0].lstrip()
Model = x_array[1]
if line.find("<<")>-1:
if line.find(">>")>-1:
Stereotype = (line[ line.find("<<")+2:line.find(">>")])
Stereotype = Stereotype.lstrip()
ModelHeader = '\n <packagedElement xmi:type="uml:Enumeration" xmi:id="'+Model+'_ID" '+'name="'+Model+'" visibility="public">'
ModelRowList.append(counter)
ModelList.append(Model)
readfile_out.write(ModelHeader)
continue
if len(enumList)==1:
if x_array[0]=='}' and len(ClassCounter)==1:
print(line)
#ClassCounter = []
#enumList = []
enumList.append("Text")
else:
line = line.replace(",","")
Literal = ' <ownedLiteral xmi:type="uml:EnumerationLiteral" xmi:id="'+str(counter)+'" name="'+line.replace('"','"')
Literal =Literal.replace("\n","") +'"/>'
NumberLines = Instanz.NumberofLines(filename_output)
#Instanz.insert_line(filename_output,NumberLines-1,"\n"+Literal)
readfile_out.write("\n"+Literal)
####Attributes
##Public
if x_array[0]=="+" and len(ClassCounter)==1:
if x_array[1] == "parameter" or x_array[1] == "input" or x_array[1] == "flow" or x_array[1] == "stream":
if x_array[2] == "Boolean":
AttributeName = x_array[3].lstrip()
Attribute = x_array[2].lstrip()
defaultValue = x_array[5].lstrip()
ParameterBooleanHeader =' <ownedAttribute xmi:type="uml:Property" xmi:id="'+ AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterBooleanMiddle1 =' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EBoolean"/>'
ParameterBooleanMiddle2 =' <defaultValue xmi:type="uml:LiteralBoolean" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterBooleanBody =' </ownedAttribute>'
readfile_out.write("\n"+ParameterBooleanHeader+"\n"+ParameterBooleanMiddle1+"\n"+ParameterBooleanMiddle2+"\n"+ParameterBooleanBody)
continue
if x_array[2] == "Real":
AttributeName = x_array[3].lstrip()
Attribute = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterBooleanHeader =' <ownedAttribute xmi:type="uml:Property" xmi:id="'+ AttributeName+'_ID" '+'name="'+ AttributeName+'" visibility="public">'
ParameterBooleanMiddle1=' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/UMLPrimitiveTypes.library.uml#Real"/>'
ParameterBooleanMiddle2=' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterBooleanBody =' </ownedAttribute>'
readfile_out.write("\n"+ParameterBooleanHeader+"\n"+ParameterBooleanMiddle1+"\n"+ParameterBooleanMiddle2+"\n"+ParameterBooleanBody)
continue
if x_array[2] == "Modelica.SIunits.Area":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
#AreaList.append(' <Modelica4SysML:ModelicaSIunitsArea xmi:id="'+'Modelica.SIunits.Area'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>')
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
continue
if x_array[2] == "Modelica.SIunits.Diameter":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
continue
if x_array[2] == "Modelica.SIunits.Time":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
continue
if x_array[2] == "Modelica.SIunits.MassFlowRate":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
continue
if x_array[2] == "Modelica.SIunits.PressureDifference":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
continue
if x_array[2] == "Medium.MassFlowRate":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
continue
if x_array[2] == "Integer":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader=' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1=' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/UMLPrimitiveTypes.library.uml#Integer"/>'
#ParameterAreaMiddle2 = ' <defaultValue xmi:type="uml:LiteralInteger" xmi:id='+str(counter)+'_ID"/>'
ParameterAreaBody = ' </ownedAttribute>'
#readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[1] == "Integer":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader=' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1=' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/UMLPrimitiveTypes.library.uml#Integer"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[1] == "Boolean":
AttributeName = x_array[3].lstrip()
Attribute = x_array[2].lstrip()
defaultValue = x_array[5].lstrip()
ParameterBooleanHeader =' <ownedAttribute xmi:type="uml:Property" xmi:id="'+ AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterBooleanMiddle1 =' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EBoolean"/>'
ParameterBooleanMiddle2 =' <defaultValue xmi:type="uml:LiteralBoolean" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterBooleanBody =' </ownedAttribute>'
readfile_out.write("\n"+ParameterBooleanHeader+"\n"+ParameterBooleanMiddle1+"\n"+ParameterBooleanBody)
continue
if x_array[1] == "Real":
AttributeName = x_array[2].lstrip()
Attribute = x_array[1].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterBooleanHeader =' <ownedAttribute xmi:type="uml:Property" xmi:id="'+ AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterBooleanMiddle1=' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/UMLPrimitiveTypes.library.uml#Real"/>'
#ParameterBooleanMiddle2=' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterBooleanBody =' </ownedAttribute>'
readfile_out.write("\n"+ParameterBooleanHeader+"\n"+ParameterBooleanMiddle1+"\n"+ParameterBooleanBody)
continue
if x_array[1] == "Modelica.SIunits.Area":
AttributeName = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
#AreaList.append(' <Modelica4SysML:ModelicaSIunitsArea xmi:id="'+'Modelica.SIunits.Area'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>')
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[1] == "Modelica.SIunits.Diameter":
AttributeName = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[1] == "Modelica.SIunits.Time":
AttributeName = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[1] == "Modelica.SIunits.MassFlowRate":
AttributeName = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[1] == "Modelica.SIunits.PressureDifference":
AttributeName = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[1] == "Medium.MassFlowRate":
AttributeName = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+str(counter)+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
##################################################################################################################################################
##Protected
if x_array[0]=="#" and len(ClassCounter)==1:
if x_array[1] == "parameter" or x_array[1] == "input" or x_array[1] == "flow" or x_array[1] == "stream":
if x_array[2] == "Boolean":
AttributeName = x_array[3].lstrip()
Attribute = x_array[2].lstrip()
defaultValue = x_array[5].lstrip()
ParameterBooleanHeader =' <ownedAttribute xmi:type="uml:Property" xmi:id="'+ AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="protected">'
ParameterBooleanMiddle1 =' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EBoolean"/>'
ParameterBooleanMiddle2 =' <defaultValue xmi:type="uml:LiteralBoolean" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterBooleanBody =' </ownedAttribute>'
readfile_out.write("\n"+ParameterBooleanHeader+"\n"+ParameterBooleanMiddle1+"\n"+ParameterBooleanMiddle2+"\n"+ParameterBooleanBody)
continue
if x_array[2] == "Real":
AttributeName = x_array[3].lstrip()
Attribute = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterBooleanHeader =' <ownedAttribute xmi:type="uml:Property" xmi:id="'+ AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="protected">'
ParameterBooleanMiddle1=' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/UMLPrimitiveTypes.library.uml#Real"/>'
ParameterBooleanMiddle2=' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterBooleanBody =' </ownedAttribute>'
readfile_out.write("\n"+ParameterBooleanHeader+"\n"+ParameterBooleanMiddle1+"\n"+ParameterBooleanMiddle2+"\n"+ParameterBooleanBody)
continue
if x_array[2] == "Integer":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader=' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="protected">'
ParameterAreaMiddle1=' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/UMLPrimitiveTypes.library.uml#Integer"/>'
#ParameterAreaMiddle2 = ' <defaultValue xmi:type="uml:LiteralInteger" xmi:id='+str(counter)+'_ID" value="'+ defaultValue+'">'
#ParameterAreaMiddle2 = ' <defaultValue xmi:type="uml:LiteralInteger" xmi:id='+str(counter)+'_ID"/>'
ParameterAreaBody = ' </ownedAttribute>'
#readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[2] == "Modelica.SIunits.Area":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
#AreaList.append(' <Modelica4SysML:ModelicaSIunitsArea xmi:id="'+'Modelica.SIunits.Area'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>')
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
continue
if x_array[2] == "Modelica.SIunits.Diameter":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
continue
if x_array[2] == "Modelica.SIunits.Time":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
continue
if x_array[2] == "Modelica.SIunits.MassFlowRate":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
continue
if x_array[2] == "Modelica.SIunits.PressureDifference":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
continue
if x_array[2] == "Medium.MassFlowRate":
AttributeName = x_array[3].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+str(counter)+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
if x_array[1] == "Boolean":
AttributeName = x_array[2].lstrip()
Attribute = x_array[2].lstrip()
defaultValue = x_array[5].lstrip()
ParameterBooleanHeader =' <ownedAttribute xmi:type="uml:Property" xmi:id="'+ AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="protected">'
ParameterBooleanMiddle1 =' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EBoolean"/>'
ParameterBooleanMiddle2 =' <defaultValue xmi:type="uml:LiteralBoolean" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterBooleanBody =' </ownedAttribute>'
readfile_out.write("\n"+ParameterBooleanHeader+"\n"+ParameterBooleanMiddle1+"\n"+ParameterBooleanBody)
continue
if x_array[1] == "Real":
AttributeName = x_array[2].lstrip()
Attribute = x_array[1].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterBooleanHeader =' <ownedAttribute xmi:type="uml:Property" xmi:id="'+ AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="protected">'
ParameterBooleanMiddle1=' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/UMLPrimitiveTypes.library.uml#Real"/>'
#ParameterBooleanMiddle2=' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterBooleanBody =' </ownedAttribute>'
readfile_out.write("\n"+ParameterBooleanHeader+"\n"+ParameterBooleanMiddle1+"\n"+ParameterBooleanBody)
continue
if x_array[1] == "Integer":
AttributeName = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader=' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="protected">'
ParameterAreaMiddle1=' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/UMLPrimitiveTypes.library.uml#Integer"/>'
#ParameterAreaMiddle2 = ' <defaultValue xmi:type="uml:LiteralInteger" xmi:id='+str(counter)+'_ID" value="'+ defaultValue+'">'
#ParameterAreaMiddle2 = ' <defaultValue xmi:type="uml:LiteralInteger" xmi:id='+str(counter)+'_ID"/>'
ParameterAreaBody = ' </ownedAttribute>'
#readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaMiddle2+"\n"+ParameterAreaBody)
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[1] == "Modelica.SIunits.Area":
AttributeName = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
#AreaList.append(' <Modelica4SysML:ModelicaSIunitsArea xmi:id="'+'Modelica.SIunits.Area'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>')
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[1] == "Modelica.SIunits.Diameter":
AttributeName = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[1] == "Modelica.SIunits.Time":
AttributeName = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[1] == "Modelica.SIunits.MassFlowRate":
AttributeName = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[1] == "Modelica.SIunits.PressureDifference":
AttributeName = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
continue
if x_array[1] == "Medium.MassFlowRate":
AttributeName = x_array[2].lstrip()
defaultValue = x_array[len(x_array)-1].lstrip()
ParameterAreaHeader = ' <ownedAttribute xmi:type="uml:Property" xmi:id="'+AttributeName+'_ID" '+'name="'+AttributeName+'" visibility="public">'
ParameterAreaMiddle1= ' <type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloat"/>'
ParameterAreaMiddle2= ' <defaultValue xmi:type="uml:LiteralReal" xmi:id="'+str(counter)+'_ID" value="'+defaultValue+'"/>'
ParameterAreaBody = ' </ownedAttribute>'
readfile_out.write("\n"+ParameterAreaHeader+"\n"+ParameterAreaMiddle1+"\n"+ParameterAreaBody)
##Operation
if x_array[0] =="+" and line.find("(")>-1:
if len(enumList) != 2:
if x_array[1].find("(")>-1:
continue
else:
x = line.find("+")
y = line.find("(")
Operation = ' <ownedOperation xmi:type="uml:Operation" xmi:id="'+str(counter)+'" name="'+line[x+2:y]+'" visibility="public"/>'
# print(Operation)
readfile_out.write("\n"+Operation)
#<ownedOperation xmi:type="uml:Operation" xmi:id="90" name="dp">
#<ownedParameter xmi:type="uml:Parameter" xmi:id="_TVXu4OHzEeig0ogs4PqciQ" name="port_a.p">
#<type xmi:type="uml:PrimitiveType" href="pathmap://UML_LIBRARIES/EcorePrimitiveTypes.library.uml#EFloatObject"/>
#</ownedParameter>
#</ownedOperation>
#readfile_out.write("\n"+Operation)
continue
if len(x_array)>1:
if x_array[1]== "<|---up" :
ModelID = x_array[0]+"_ID"
Model = x_array[2]
count = 0
for x in ModelList:
if x == Model:
break
count = count +1
generalization.append('\n<generalization xmi:type="uml:Generalization" xmi:id="'+str(counter)+'" general="'+ModelID+'" />\n' +" ; " + Model )
if x_array[1]== "<|..-up" :
supplier = x_array[0]+"_ID"
Model = x_array[2].split('"')
Name = Model[1]
client = Model[2]+"_ID"
count = 0
for x in ModelList:
if x == Model:
break
count = count +1
Abstraction.append('\n<packagedElement xmi:type="uml:Abstraction" xmi:id="'+str(counter)+'" name="'+Name+'" client="'+client+'" supplier="'+supplier+'"/>')
if x_array[1]== "-down--*":
ListModel1 = []
ListModel2 = []
Compare = []
#FluidPort_b --* "port_b"PartialTwoPort
Model1 = x_array[0].lstrip()
array3 = x_array[2].lstrip()
array3 = array3.split('"')
Model2 = array3[len(array3)-1]
ID1 = "Association"+str(counter)
ID2 = "Property"+str(counter)
assocationID = "assocationID"+str(counter)
###Model2
ListModel2.append(' <ownedAttribute xmi:type="uml:Property" xmi:id="'+ID1+'" name="'+Model1+'" type="'+Model1+'_ID" aggregation="composite" association="'+assocationID+'">')
ListModel2.append(' <lowerValue xmi:type="uml:LiteralInteger" xmi:id="'+"Compositon"+str(counter)+'" value="1"/>')
ListModel2.append(' <upperValue xmi:type="uml:LiteralUnlimitedNatural" xmi:id="'+"Compositon"+str(counter+1)+'" value="*"/>')
ListModel2.append(' </ownedAttribute>')
##Model1
ListModel1.append(' <ownedAttribute xmi:type="uml:Property" xmi:id="'+"Compositon"+str(counter+2)+'" name="'+Model2+'" type="'+Model2+'_ID">')
ListModel1.append(' <lowerValue xmi:type="uml:LiteralInteger" xmi:id="'+"Compositon"+str(counter+3)+'"/>')
ListModel1.append(' <upperValue xmi:type="uml:LiteralUnlimitedNatural" xmi:id="'"Compositon"+str(counter+4)+'" value="1"/>')
ListModel1.append(' </ownedAttribute>')
##Composition
Composition.append(' <packagedElement xmi:type="uml:Association" xmi:id="'+assocationID+'" memberEnd="'+ID1+" "+ID2+'">')
Composition.append(' <eAnnotations xmi:type="ecore:EAnnotation" xmi:id="'+"Compositon"+str(counter+5)+'" source="org.eclipse.papyrus">')
Composition.append(' <details xmi:type="ecore:EStringToStringMapEntry" xmi:id="'+"Compositon"+str(counter+6)+'" key="nature" value="UML_Nature"/>')
Composition.append(' </eAnnotations>')
Composition.append(' <ownedEnd xmi:type="uml:Property" xmi:id="'+ID2+'" name="'+Model2+'" type="'+Model2+'_ID" association="'+assocationID+'"/>')
Composition.append(' </packagedElement>')
Compare.append(Model1+","+Model2)
readfile_out.close()
readfile_out = open(filename_output,"r+")
count = 0
for lines in readfile_out.readlines():
count = count +1
x = lines.split()
x_array = np.asarray(x)
for w in Compare:
w = w.split(",")
Model1Name = w[0]
Model2Name = w[1]
if len(x_array)>3:
if x_array[3] == 'name="'+Model1Name+'"':
for x in ListModel1:
Instanz.insert_line(filename_output, count, x+"\n")
count = count +1
readfile_out.close()
readfile_out = open(filename_output,"r+")
count = 0
for lines in readfile_out.readlines():
count = count +1
x = lines.split()
x_array = np.asarray(x)
for w in Compare:
w = w.split(",")
Model1Name = w[0]
Model2Name = w[1]
if len(x_array)>3:
if x_array[3] == 'name="'+Model2Name+'"':
for x in ListModel2:
Instanz.insert_line(filename_output, count, x+"\n")
count = count +1
if x_array[0]=="}" and len(ClassCounter)==1:
ClassCounter = []
enumList = []
readfile_out.write('\n </packagedElement>')
continue
#if counter == Lines:
# readfile_out.write('\n </uml:Model>')
# readfile_out.write('\n</xmi:XMI>')
readfile_in.close()
readfile_out.close()
readfile_in = open(filename_output,"r+")
count = 0
for line in readfile_in.readlines():
count = count +1
x = line.split()
x_array = np.asarray(x)
for w in generalization:
T = w.split(";")
RelationText = T[0].lstrip()
Model = T[1].lstrip()
if len(x_array)>3:
if x_array[3] == 'name="'+Model+'"':
Instanz.insert_line(filename_output,count," "+RelationText)
count = count +1
break
else:
continue
readfile_in.close()
readfile_in = open(filename_output,"r+")
count= 0
for w in Abstraction:
w = w.lstrip()
if count == 0:
NumberLines = Instanz.NumberofLines(filename_output)
Instanz.insert_line(filename_output,NumberLines,"\n "+w+"\n")
else:
NumberLines = Instanz.NumberofLines(filename_output)
Instanz.insert_line(filename_output,NumberLines," "+w+"\n")
count= count +1
count= 0
for C in Composition:
C = C.lstrip()
if count == 0:
NumberLines = Instanz.NumberofLines(filename_output)
Instanz.insert_line(filename_output,NumberLines,"\n "+C+"\n")
else:
NumberLines = Instanz.NumberofLines(filename_output)
Instanz.insert_line(filename_output,NumberLines," "+C+"\n")
count = count +1
def converter(self,filename_input,filename_output):
readfile_in = open(filename_input,"r")
readfile_out = open(filename_output,"w")
for line in readfile_in.readlines():
line = line.replace("="," = ")
readfile_out.write(line)
continue
readfile_in.close()
readfile_out.close()
def NumberofLines(self,filename_input):
readfile_in = open(filename_input,"r")
lines = readfile_in.readlines()
numberLines = len(lines)
readfile_in.close()
return numberLines
def set_Relation(self):
Instanz.convertModelicatoSysML
readfile_in = open(filename_input,"a")
def insert_line(self,filename,insert_pos, line):
f = open(filename, "r+")
lines = f.readlines()
f.close()
lines.insert(insert_pos, line)
f = open(filename, "w")
f.writelines(lines)
f.close()
def setprofileApplication(self,filename_input,filename_output):
ProfilePartial = []
readfile_in = open(filename_input,"r")
count = 0
ProfilePartial.append(' <profileApplication xmi:type="uml:ProfileApplication" xmi:id="'+str(count)+'">')
ProfilePartial.append(' <eAnnotations xmi:type="ecore:EAnnotation" xmi:id="'+str(count)+'" source="http://www.eclipse.org/uml2/2.0.0/UML">')
ProfilePartial.append(' <references xmi:type="ecore:EPackage" href="Modelica4SysML.profile.uml#_znl6Ed93Eei2AdFulrt0aQ"/>')
ProfilePartial.append(' </eAnnotations>')
ProfilePartial.append(' <appliedProfile xmi:type="uml:Profile" href="Modelica4SysML.profile.uml#_zAFOIN93Eei2AdFulrt0aQ"/>')
ProfilePartial.append(' </profileApplication>')
for x in ProfilePartial:
Instanz.insert_line(filename_output,Instanz.NumberofLines(filename_output),x+'\n')
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),' </uml:Model>\n')
for line in readfile_in.readlines():
count = count +1
x = line.split()
x_array = np.asarray(x)
if len(x_array)>3:
##StereotTypes
if x_array[3]=="partial":
Model = x_array[1].lstrip()
SetProfilePartial = ' <Modelica4SysML:Partial xmi:id="'+str(count)+'" base_Class="'+Model+'_ID'+'"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfilePartial+'\n')
continue
if x_array[3]=="connector":
Model = x_array[1].lstrip()
SetProfileConnector = ' <Modelica4SysML:Connector xmi:id="'+str(count)+'" base_Interface="'+Model+'_ID'+'"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileConnector+'\n')
continue
if x_array[3]=="type":
Model = x_array[1].lstrip()
SetProfileEnumeration = ' <Modelica4SysML:type xmi:id="'+str(count)+'" base_Enumeration="'+Model+'_ID'+'"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileEnumeration+'\n')
continue
if x_array[3]=="model":
Model = x_array[1].lstrip()
SetProfileModel = ' <Modelica4SysML:Model xmi:id="'+str(count)+'" base_Class="'+Model+'_ID'+'"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileModel+'\n')
continue
if x_array[2] == "Modelica.SIunits.Area":
if x_array[1] == "parameter" or x_array[1] == "input" or x_array[1] == "flow" or x_array[1] == "stream" :
AttributeName = x_array[3].lstrip()
SetProfileModelicaArea = ' <Modelica4SysML:ModelicaSIunitsArea xmi:id="'+'Modelica.SIunits.Area'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileModelicaArea+'\n')
continue
if x_array[2] == "Modelica.SIunits.Diameter":
if x_array[1] == "parameter" or x_array[1] == "input" or x_array[1] == "flow" or x_array[1] == "stream":
AttributeName = x_array[3].lstrip()
SetProfileModelicaArea = ' <Modelica4SysML:ModelicaSIunitsDiameter xmi:id="'+'Modelica.SIunits.Diameter'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileModelicaArea+'\n')
continue
if x_array[2] == "Modelica.SIunits.Time":
if x_array[1] == "parameter" or x_array[1] == "input" or x_array[1] == "flow" or x_array[1] == "stream":
AttributeName = x_array[3].lstrip()
SetProfileModelicaArea = ' <Modelica4SysML:ModelicaSIunitsTime xmi:id="'+'Modelica.SIunits.Time'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileModelicaArea+'\n')
continue
if x_array[2] == "Modelica.SIunits.MassFlowRate":
if x_array[1] == "parameter" or x_array[1] == "input" or x_array[1] == "flow" or x_array[1] == "stream":
AttributeName = x_array[3].lstrip()
SetProfileModelicaArea = ' <Modelica4SysML:ModelicaSIunitsMassFlowRate xmi:id="'+'Modelica.SIunits.MassFlowRate'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileModelicaArea+'\n')
continue
if x_array[2] == "Modelica.SIunits.PressureDifference":
if x_array[1] == "parameter" or x_array[1] == "input" or x_array[1] == "flow" or x_array[1] == "stream" :
AttributeName = x_array[3].lstrip()
SetProfileModelicaArea = ' <Modelica4SysML:ModelicaSIunitsPressureDifference xmi:id="'+'Modelica.SIunits.PressureDifference'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileModelicaArea+'\n')
continue
if x_array[2] == "Medium.MassFlowRate":
if x_array[1] == "parameter" or x_array[1] == "input" or x_array[1] == "flow" or x_array[1] == "stream" :
AttributeName = x_array[3].lstrip()
SetProfileModelicaArea = ' <Modelica4SysML:MediumMassFlowRate xmi:id="'+'Medium.MassFlowRate'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileModelicaArea+'\n')
continue
if x_array[1] == "Modelica.SIunits.Area":
AttributeName = x_array[2].lstrip()
SetProfileModelicaArea = ' <Modelica4SysML:ModelicaSIunitsArea xmi:id="'+'Modelica.SIunits.Area'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileModelicaArea+'\n')
continue
if x_array[1] == "Modelica.SIunits.Diameter":
AttributeName = x_array[2].lstrip()
SetProfileModelicaArea = ' <Modelica4SysML:ModelicaSIunitsDiameter xmi:id="'+'Modelica.SIunits.Diameter'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileModelicaArea+'\n')
continue
if x_array[1] == "Modelica.SIunits.Time":
AttributeName = x_array[2].lstrip()
SetProfileModelicaArea = ' <Modelica4SysML:ModelicaSIunitsTime xmi:id="'+'Modelica.SIunits.Time'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileModelicaArea+'\n')
continue
if x_array[1] == "Modelica.SIunits.MassFlowRate":
AttributeName = x_array[2].lstrip()
SetProfileModelicaArea = ' <Modelica4SysML:ModelicaSIunitsMassFlowRate xmi:id="'+'Modelica.SIunits.MassFlowRate'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileModelicaArea+'\n')
continue
if x_array[1] == "Modelica.SIunits.PressureDifference":
AttributeName = x_array[2].lstrip()
SetProfileModelicaArea = ' <Modelica4SysML:ModelicaSIunitsPressureDifference xmi:id="'+'Modelica.SIunits.PressureDifference'+str(count)+'_ID" '+'base_Property="'+AttributeName+'_ID"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileModelicaArea+'\n')
continue
if x_array[1] == "Medium.MassFlowRate":
AttributeName = x_array[2].lstrip()
SetProfileModelicaArea = ' <Modelica4SysML:MediumMassFlowRate xmi:id="'+'Medium.MassFlowRate'+str(count)+'_ID" '+'base_Property="'+AttributeName+str(count)+'_ID"/>'
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),SetProfileModelicaArea+'\n')
continue
Instanz.insert_line(filename_output, Instanz.NumberofLines(filename_output),'</xmi:XMI>')
filename_input = r"C:\Users\sven-\Dropbox\08_Eclipse_Workspace_Automated_Documentation\Automated_Documentation\UML_Diagram\Java_Klassen\Gesamt\Ventil2.java"
filename_output = r"C:\Users\sven-\Dropbox\08_Eclipse_Workspace_Automated_Documentation\Automated_Documentation\UML_Diagram\Java_Klassen\Gesamt\UML\UML.txt"
filename_output2 = r"C:\Users\sven-\Dropbox\08_Eclipse_Workspace_Automated_Documentation\Automated_Documentation\UML_Diagram\Java_Klassen\Gesamt\UML\UML.uml"
Instanz = UML_ClassDiagram_Interface()
if __name__ == "__main__":
Instanz.converter(filename_input,filename_output)
Instanz.convertModelicatoSysML(filename_output,filename_output2)
Instanz.setprofileApplication(filename_output,filename_output2)
print("Finish") | 74.884386 | 478 | 0.52241 | 5,069 | 62,828 | 6.344249 | 0.052476 | 0.047203 | 0.040113 | 0.024876 | 0.878261 | 0.861874 | 0.846233 | 0.842253 | 0.829286 | 0.818185 | 0 | 0.013362 | 0.344862 | 62,828 | 839 | 479 | 74.884386 | 0.767936 | 0.039775 | 0 | 0.773256 | 0 | 0.059593 | 0.27186 | 0.136512 | 0.090116 | 0 | 0 | 0 | 0 | 1 | 0.008721 | false | 0 | 0.010174 | 0 | 0.021802 | 0.002907 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
abb529b0f31d4bb5ad2b0d0e13984ee8471be475 | 175 | py | Python | tests/unit/test_services/test_category_service.py | Tserewara/dama-rowahutu | 9f8d0ecfa8760cf25efb343472734042a4b2fa15 | [
"MIT"
] | 2 | 2021-03-19T11:19:14.000Z | 2021-05-04T19:02:34.000Z | tests/unit/test_services/test_category_service.py | Tserewara/dama-rowahutu | 9f8d0ecfa8760cf25efb343472734042a4b2fa15 | [
"MIT"
] | null | null | null | tests/unit/test_services/test_category_service.py | Tserewara/dama-rowahutu | 9f8d0ecfa8760cf25efb343472734042a4b2fa15 | [
"MIT"
] | 1 | 2021-03-03T17:33:12.000Z | 2021-03-03T17:33:12.000Z | from src.articles.services import category_service
def test_category_exists():
assert category_service.get_category(1)
assert not category_service.get_category(999)
| 25 | 50 | 0.817143 | 24 | 175 | 5.666667 | 0.625 | 0.330882 | 0.264706 | 0.382353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025974 | 0.12 | 175 | 6 | 51 | 29.166667 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0.25 | true | 0 | 0.25 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
abfe024b909d104ba1702d5f141bfcd7bc6cef6c | 506 | py | Python | kps2d_detection/hr_net/lib/hrnet_models/__init__.py | abrichr/cvToolkit | 7f559138c27fedf9e3e3929cd4d6e4f8198d4c51 | [
"MIT"
] | 47 | 2019-07-17T12:48:59.000Z | 2022-01-30T20:58:46.000Z | kps2d_detection/hr_net/lib/hrnet_models/__init__.py | abrichr/cvToolkit | 7f559138c27fedf9e3e3929cd4d6e4f8198d4c51 | [
"MIT"
] | 9 | 2019-07-15T07:34:01.000Z | 2021-08-05T07:08:01.000Z | kps2d_detection/hr_net/lib/hrnet_models/__init__.py | lxy5513/cvToolBox | 51586c8016b47f5e7852032f9f3211c89d80f537 | [
"MIT"
] | 16 | 2019-07-25T08:11:35.000Z | 2021-06-03T10:37:02.000Z | # ------------------------------------------------------------------------------
# Copyright (c) Microsoft
# Licensed under the MIT License.
# ------------------------------------------------------------------------------
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import hrnet_models.pose_resnet
import hrnet_models.pose_hrnet
| 31.625 | 80 | 0.58498 | 46 | 506 | 5.73913 | 0.413043 | 0.227273 | 0.363636 | 0.181818 | 0.628788 | 0.628788 | 0.628788 | 0.628788 | 0.628788 | 0.628788 | 0 | 0 | 0.088933 | 506 | 15 | 81 | 33.733333 | 0.572668 | 0.420949 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0.25 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
e6224631e23f00d66d8d37ae280b2a1fb1a01538 | 894,343 | py | Python | qute_style/resources_rc.py | TUV-SUD-Product-Service-GmbH/QuteStyle | 78a16893aa1881381b8f0831052e205dc2c5791b | [
"MIT"
] | 1 | 2022-03-29T14:43:31.000Z | 2022-03-29T14:43:31.000Z | qute_style/resources_rc.py | TUV-SUD-Product-Service-GmbH/QuteStyle | 78a16893aa1881381b8f0831052e205dc2c5791b | [
"MIT"
] | 10 | 2022-03-28T21:57:20.000Z | 2022-03-31T17:52:01.000Z | qute_style/resources_rc.py | TUV-SUD-Product-Service-GmbH/QuteStyle | 78a16893aa1881381b8f0831052e205dc2c5791b | [
"MIT"
] | 3 | 2022-03-29T15:36:14.000Z | 2022-03-30T11:32:34.000Z | # -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.15.2)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
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qt_resource_struct_v2 = b"\
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"
qt_version = [int(v) for v in QtCore.qVersion().split('.')]
if qt_version < [5, 8, 0]:
rcc_version = 1
qt_resource_struct = qt_resource_struct_v1
else:
rcc_version = 2
qt_resource_struct = qt_resource_struct_v2
def qInitResources():
QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data)
def qCleanupResources():
QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data)
qInitResources()
| 64.083047 | 129 | 0.726651 | 216,542 | 894,343 | 3.000974 | 0.001418 | 0.133021 | 0.146958 | 0.132809 | 0.924227 | 0.88663 | 0.836207 | 0.782618 | 0.747934 | 0.725631 | 0 | 0.419171 | 0.015702 | 894,343 | 13,955 | 130 | 64.087639 | 0.319029 | 0.00017 | 0 | 0.439702 | 0 | 0.961403 | 0.000001 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0.000143 | false | 0 | 0.000072 | 0 | 0.000215 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10 |
e64f9192d42b07b312dd0158ae4a1f940c2d4698 | 1,103 | py | Python | my_exception_definitions.py | dwalley/SICXE | f3d019301e82712a1e94c6936b667bb5c93bbce0 | [
"MIT"
] | null | null | null | my_exception_definitions.py | dwalley/SICXE | f3d019301e82712a1e94c6936b667bb5c93bbce0 | [
"MIT"
] | null | null | null | my_exception_definitions.py | dwalley/SICXE | f3d019301e82712a1e94c6936b667bb5c93bbce0 | [
"MIT"
] | null | null | null | # file containing classes for exception handlers
class new_register_knob_setting(Exception):
def __init__(self,value):
self.value = value
def __str__(self):
return repr(self.value)
class load_register_activated(Exception):
def __init__(self,value):
self.value = value
def __str__(self):
return repr(self.value)
class stop_the_machine(Exception):
def __init__(self,value):
self.value = value
def __str__(self):
return repr(self.value)
class execute_instruction_activated(Exception):
def __init__(self,value):
self.value = value
def __str__(self):
return repr(self.value)
class step_activated(Exception):
def __init__(self,value):
self.value = value
def __str__(self):
return repr(self.value)
class halt_machine(Exception):
def __init__(self,value):
self.value = value
def __str__(self):
return repr(self.value)
class run_machine(Exception):
def __init__(self,value):
self.value = value
def __str__(self):
return repr(self.value)
| 25.068182 | 48 | 0.669084 | 137 | 1,103 | 4.890511 | 0.20438 | 0.28209 | 0.167164 | 0.208955 | 0.826866 | 0.826866 | 0.826866 | 0.826866 | 0.826866 | 0.826866 | 0 | 0 | 0.234814 | 1,103 | 43 | 49 | 25.651163 | 0.793839 | 0.041704 | 0 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0 | 0.2 | 0.8 | 0 | 0 | 0 | 0 | null | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 11 |
e64fb5898f2d290e787c4a3c6d7d75562737ccdd | 9,815 | py | Python | Chapter07/models.py | arcolombo/Hands-on-Convolutional-Neural-Networks-with-Tensorflow | beeea1eba61d30d816487a2b363505f2b53dcec5 | [
"MIT"
] | 25 | 2018-06-28T05:04:52.000Z | 2021-11-08T13:12:26.000Z | Chapter07/models.py | xiaoyangmoa/Hands-on-Convolutional-Neural-Networks-with-Tensorflow | beeea1eba61d30d816487a2b363505f2b53dcec5 | [
"MIT"
] | null | null | null | Chapter07/models.py | xiaoyangmoa/Hands-on-Convolutional-Neural-Networks-with-Tensorflow | beeea1eba61d30d816487a2b363505f2b53dcec5 | [
"MIT"
] | 21 | 2018-08-19T05:46:52.000Z | 2021-08-02T15:19:37.000Z | import tensorflow as tf
class CAE_CNN(object):
def __init__(self, img_size = 28, latent_size=20):
self.__x = tf.placeholder(tf.float32, shape=[None, img_size * img_size], name='IMAGE_IN')
self.__x_image = tf.reshape(self.__x, [-1, img_size, img_size, 1])
with tf.name_scope('ENCODER'):
##### ENCODER
# CONV1: Input 28x28x1 after CONV 5x5 P:2 S:2 H_out: 1 + (28+4-5)/2 = 14, W_out= 1 + (28+4-5)/2 = 14
self.__conv1_act = tf.layers.conv2d(inputs=self.__x_image, strides=(2, 2), name='conv1',
filters=16, kernel_size=[5, 5], padding="same", activation=tf.nn.relu)
# CONV2: Input 14x14x16 after CONV 5x5 P:0 S:2 H_out: 1 + (14+4-5)/2 = 7, W_out= 1 + (14+4-5)/2 = 7
self.__conv2_act = tf.layers.conv2d(inputs=self.__conv1_act, strides=(2, 2), name='conv2',
filters=32, kernel_size=[5, 5], padding="same", activation=tf.nn.relu)
with tf.name_scope('LATENT'):
# Reshape: Input 7x7x32 after [7x7x32]
self.__enc_out = tf.reshape(self.__conv2_act, [tf.shape(self.__x)[0], 7 * 7 * 32])
self.__guessed_z = tf.layers.dense(inputs=self.__enc_out,
units=latent_size, activation=None, name="latent_var")
tf.summary.histogram("latent", self.__guessed_z)
with tf.name_scope('DECODER'):
##### DECODER (At this point we have 1x18x64
self.__z_develop = tf.layers.dense(inputs=self.__guessed_z,
units=7 * 7 * 32, activation=None, name="z_matrix")
self.__z_develop_act = tf.nn.relu(tf.reshape(self.__z_develop, [tf.shape(self.__x)[0], 7, 7, 32]))
# DECONV1
self.__conv_t2_out_act = tf.layers.conv2d_transpose(inputs=self.__z_develop_act, name='dconv1',
strides=(2, 2), kernel_size=[5, 5], filters=16,
padding="same", activation=tf.nn.relu)
# DECONV2
# Model output
self.__y = tf.layers.conv2d_transpose(inputs=self.__conv_t2_out_act, name='dconv2',
strides=(2, 2), kernel_size=[5, 5], filters=1,
padding="same", activation=tf.nn.sigmoid)
# We want the output flat for using on the loss
self.__y_flat = tf.reshape(self.__y, [tf.shape(self.__x)[0], 28 * 28])
@property
def output(self):
return self.__y
@property
def output_flat(self):
return self.__y_flat
@property
def input(self):
return self.__x
@property
def image_in(self):
return self.__x_image
# Only half of the autoencoder changed for classification
class CAE_CNN_Encoder(object):
__instance = None
# Singleton pattern
def __new__(cls):
if CAE_CNN_Encoder.__instance is None:
# First time new is called
CAE_CNN_Encoder.__instance = object.__new__(cls)
CAE_CNN_Encoder.__instance.build_graph()
return CAE_CNN_Encoder.__instance
def build_graph(self, img_size=28):
self.__x = tf.placeholder(tf.float32, shape=[None, img_size * img_size], name='IMAGE_IN')
self.__x_image = tf.reshape(self.__x, [-1, img_size, img_size, 1])
self.__y_ = tf.placeholder("float", shape=[None, 10], name='Y')
with tf.name_scope('ENCODER'):
##### ENCODER
# CONV1: Input 28x28x1 after CONV 5x5 P:2 S:2 H_out: 1 + (28+4-5)/2 = 14, W_out= 1 + (28+4-5)/2 = 14
self.__conv1_act = tf.layers.conv2d(inputs=self.__x_image, strides=(2, 2), name='conv1',
filters=16, kernel_size=[5, 5], padding="same", activation=tf.nn.relu)
# CONV2: Input 14x14x16 after CONV 5x5 P:0 S:2 H_out: 1 + (14+4-5)/2 = 7, W_out= 1 + (14+4-5)/2 = 7
self.__conv2_act = tf.layers.conv2d(inputs=self.__conv1_act, strides=(2, 2), name='conv2',
filters=32, kernel_size=[5, 5], padding="same", activation=tf.nn.relu)
with tf.name_scope('LATENT'):
# Reshape: Input 7x7x32 after [7x7x32]
self.__enc_out = tf.layers.flatten(self.__conv2_act, name='flatten_conv2')
self.__dense = tf.layers.dense(inputs=self.__enc_out, units=200, activation=tf.nn.relu, name='fc1')
self.__logits = tf.layers.dense(inputs=self.__dense, units=10, name='logits')
def __init__(self, img_size=28):
if CAE_CNN_Encoder.__instance is None:
self.build_graph(img_size)
@property
def output(self):
return self.__logits
@property
def labels(self):
return self.__y_
@property
def input(self):
return self.__x
@property
def image_in(self):
return self.__x_image
class VAE_CNN(object):
def __init__(self, img_size=28, latent_size=20):
self.__x = tf.placeholder(tf.float32, shape=[None, img_size * img_size], name='IMAGE_IN')
self.__x_image = tf.reshape(self.__x, [-1, img_size, img_size, 1])
with tf.name_scope('ENCODER'):
##### ENCODER
# CONV1: Input 28x28x1 after CONV 5x5 P:2 S:2 H_out: 1 + (28+4-5)/2 = 14, W_out= 1 + (28+4-5)/2 = 14
self.__conv1_act = tf.layers.conv2d(inputs=self.__x_image, strides=(2, 2),
filters=16, kernel_size=[5, 5], padding="same", activation=tf.nn.relu)
# CONV2: Input 14x14x16 after CONV 5x5 P:0 S:2 H_out: 1 + (14+4-5)/2 = 7, W_out= 1 + (14+4-5)/2 = 7
self.__conv2_act = tf.layers.conv2d(inputs=self.__conv1_act, strides=(2, 2),
filters=32, kernel_size=[5, 5], padding="same", activation=tf.nn.relu)
with tf.name_scope('LATENT'):
# Reshape: Input 7x7x32 after [7x7x32]
self.__enc_out = tf.reshape(self.__conv2_act, [tf.shape(self.__x)[0], 7 * 7 * 32])
# Add linear ops for mean and variance
self.__w_mean = tf.layers.dense(inputs=self.__enc_out,
units=latent_size, activation=None, name="w_mean")
self.__w_stddev = tf.layers.dense(inputs=self.__enc_out,
units=latent_size, activation=None, name="w_stddev")
# Generate normal distribution with dimensions [B, latent_size]
self.__samples = tf.random_normal([tf.shape(self.__x)[0], latent_size], 0, 1, dtype=tf.float32)
self.__guessed_z = self.__w_mean + (self.__w_stddev * self.__samples)
tf.summary.histogram("latent_sample", self.__guessed_z)
with tf.name_scope('DECODER'):
##### DECODER (At this point we have 1x18x64
# Linear layer
self.__z_develop = tf.layers.dense(inputs=self.__guessed_z,
units=7 * 7 * 32, activation=None, name="z_matrix")
self.__z_develop_act = tf.nn.relu(tf.reshape(self.__z_develop, [tf.shape(self.__x)[0], 7, 7, 32]))
# DECONV1
self.__conv_t2_out_act = tf.layers.conv2d_transpose(inputs=self.__z_develop_act,
strides=(2, 2), kernel_size=[5, 5], filters=16,
padding="same", activation=tf.nn.relu)
# DECONV2
# Model output
self.__y = tf.layers.conv2d_transpose(inputs=self.__conv_t2_out_act,
strides=(2, 2), kernel_size=[5, 5], filters=1,
padding="same", activation=tf.nn.sigmoid)
# Model output
self.__y_flat = tf.reshape(self.__y, [tf.shape(self.__x)[0], 28 * 28])
@property
def output(self):
return self.__y
@property
def z_mean(self):
return self.__w_mean
@property
def z_stddev(self):
return self.__w_stddev
@property
def output_flat(self):
return self.__y_flat
@property
def input(self):
return self.__x
@property
def image_in(self):
return self.__x_image
class VAE_CNN_GEN(object):
def __init__(self, img_size=28, latent_size=20):
self.__x = tf.placeholder(tf.float32, shape=[None, latent_size], name='LATENT_IN')
with tf.name_scope('DECODER'):
# Linear layer
self.__z_develop = tf.layers.dense(inputs=self.__x,
units=7 * 7 * 32, activation=None, name="z_matrix")
self.__z_develop_act = tf.nn.relu(tf.reshape(self.__z_develop, [tf.shape(self.__x)[0], 7, 7, 32]))
# DECONV1
self.__conv_t2_out_act = tf.layers.conv2d_transpose(inputs=self.__z_develop_act,
strides=(2, 2), kernel_size=[5, 5], filters=16,
padding="same", activation=tf.nn.relu)
# DECONV2
# Model output
self.__y = tf.layers.conv2d_transpose(inputs=self.__conv_t2_out_act,
strides=(2, 2), kernel_size=[5, 5], filters=1,
padding="same", activation=tf.nn.sigmoid)
@property
def output(self):
return self.__y
@property
def input(self):
return self.__x
| 43.622222 | 118 | 0.54651 | 1,272 | 9,815 | 3.887579 | 0.112421 | 0.029323 | 0.045298 | 0.02912 | 0.82366 | 0.805662 | 0.795349 | 0.78362 | 0.776744 | 0.773306 | 0 | 0.05938 | 0.332552 | 9,815 | 224 | 119 | 43.816964 | 0.695466 | 0.119511 | 0 | 0.71223 | 0 | 0 | 0.031203 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.158273 | false | 0 | 0.007194 | 0.115108 | 0.323741 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 |
050bdd3a9bb43d98da1607f0ca03ce8d918ed57d | 82,937 | py | Python | draw_houyi/Draw_Net.py | lyfhouyi/PlotNetwork | 1c86307701a1c9543a55d982ac7e2fa6e21b591d | [
"MIT"
] | null | null | null | draw_houyi/Draw_Net.py | lyfhouyi/PlotNetwork | 1c86307701a1c9543a55d982ac7e2fa6e21b591d | [
"MIT"
] | null | null | null | draw_houyi/Draw_Net.py | lyfhouyi/PlotNetwork | 1c86307701a1c9543a55d982ac7e2fa6e21b591d | [
"MIT"
] | null | null | null |
import sys
sys.path.append(r'C:\Users\lyfhouyi\Desktop\git\plot-network')
sys.path.append(r'C:\Users\Monkey.E\Desktop\git\plot-network')
from pycore.tikzeng import *
def draw_Net4():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 第一帧
to_Conv("input", 32, 96,3, offset="(0,0,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool31", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# 第二帧
to_Conv("input", 32, 96,3, offset="(0,15,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool32", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# 第三帧
to_Conv("input", 32, 96,3, offset="(0,30,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool33", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# 第四帧
to_Conv("input", 32, 96,3, offset="(0,45,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool34", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# 全连接层
to_Sum( "sum", offset="(12,7,0)", to="(pool32-east)", radius=2.5, opacity=0.6),
to_connection( "pool31", "sum"),
to_connection( "pool32", "sum"),
to_connection( "pool33", "sum"),
to_connection( "pool34", "sum"),
to_Cascade("cascade", 1, 256,1, offset="(5,0,0)", to="(sum-east)", height=3.5, depth=256, width=3.5,caption='cascade'),
to_connection( "sum", "cascade"),
to_FcRelu_fine("fc1", 1, 32,1, offset="(3,0,0)", to="(cascade-east)", height=2.5, depth=32, width=2.5,caption='fc1'),
to_connection( "cascade", "fc1"),
to_SoftMax("softMax", 1 ,4,1, offset="(3,0,0)", to="(fc1-east)", height=1, depth=4, width=1, caption="SoftMax" ),
to_connection( "fc1", "softMax"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net4\\Net4.tex' )
# end draw_Net4
def draw_Net42():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 第一帧
to_Conv("input", 32, 32,3, offset="(0,0,0)", to="(0,0,0)", height=32, depth=32, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=6, height=6),
to_ConvRelu("conv1", 28, 28,6, offset="(3,0,0)", to="(input-east)", height=28, depth=28, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 14,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=14, width=6,caption="AvgPool"),
to_ConvRelu("conv2", 10, 10,8, offset="(2,0,0)", to="(pool1-east)", height=10, depth=10, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool21", 5, 5,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=5, width=8,caption="AvgPool"),
# 第二帧
to_Conv("input", 32, 32,3, offset="(0,-10,0)", to="(0,0,0)", height=32, depth=32, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=6, height=6),
to_ConvRelu("conv12", 28, 28,6, offset="(3,0,0)", to="(input-east)", height=28, depth=28, width=6,caption='conv1'),
to_connection( "input", "conv12"),
to_Pool("pool1", 14, 14,6,offset="(0,0,0)", to="(conv12-east)",height=14, depth=14, width=6,caption="AvgPool"),
to_ConvRelu("conv2", 10, 10,8, offset="(2,0,0)", to="(pool1-east)", height=10, depth=10, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool22", 5, 5,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=5, width=8,caption="AvgPool"),
# 第七帧
to_Conv("input", 32, 32,3, offset="(0,-25,0)", to="(0,0,0)", height=32, depth=32, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=6, height=6),
to_ConvRelu("conv17", 28, 28,6, offset="(3,0,0)", to="(input-east)", height=28, depth=28, width=6,caption='conv1'),
to_connection( "input", "conv17"),
to_Pool("pool1", 14, 14,6,offset="(0,0,0)", to="(conv17-east)",height=14, depth=14, width=6,caption="AvgPool"),
to_ConvRelu("conv2", 10, 10,8, offset="(2,0,0)", to="(pool1-east)", height=10, depth=10, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool27", 5, 5,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=5, width=8,caption="AvgPool"),
# # 省略号
# to_ellipsis( "conv12", "conv17"),
# 全连接层
to_Sum( "sum", offset="(10,10,0)", to="(pool27-east)", radius=2.5, opacity=0.6),
to_connection( "pool21", "sum"),
to_connection( "pool22", "sum"),
to_connection( "pool27", "sum"),
to_Cascade("cascade", 1, 1400,1, offset="(3,0,0)", to="(sum-east)", height=2.5, depth=280, width=2.5,caption='cascade'),
to_connection( "sum", "cascade"),
to_FcRelu_fine("fc1", 1, 64,1, offset="(3,0,0)", to="(cascade-east)", height=2, depth=64, width=2,caption='fc1'),
to_connection( "cascade", "fc1"),
to_SoftMax("softMax", 1 ,4,1, offset="(3,0,0)", to="(fc1-east)", height=1, depth=4, width=1, caption="SoftMax" ),
to_connection( "fc1", "softMax"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net42\\Net42.tex' )
# end draw_Net42
def draw_Net45():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 第一帧
to_Conv("input", 224, 1,1, offset="(0,0,0)", to="(0,0,0)", height=112, depth=6, width=6,caption='input'),
to_FcRelu("fc1", 1024, 1,1, offset="(3,0,0)", to="(input-east)", height=325, depth=6, width=6,caption='fc1'),
to_connection( "input", "fc1"),
to_FcRelu("fc2", 1024, 1,1, offset="(3,0,0)", to="(fc1-east)", height=325, depth=6, width=6,caption='fc2'),
to_connection( "fc1", "fc2"),
to_FcRelu("fc3", 256, 1,1, offset="(3,0,0)", to="(fc2-east)", height=128, depth=6, width=6,caption='fc3'),
to_connection( "fc2", "fc3"),
to_FcRelu("fc4", 64, 1,1, offset="(3,0,0)", to="(fc3-east)", height=30, depth=6, width=6,caption='fc4'),
to_connection( "fc3", "fc4"),
to_FcRelu_fine("fc5", 16, 1,1, offset="(3,0,0)", to="(fc4-east)", height=16, depth=4, width=4,caption='fc5'),
to_connection( "fc4", "fc5"),
to_SoftMax("softMax", 4 ,1,1, offset="(3,0,0)", to="(fc5-east)", height=6, depth=2, width=2, caption="SoftMax" ),
to_connection( "fc5", "softMax"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net45\\Net45.tex' )
# end draw_Net45
def draw_Net46():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 输入层
to_Conv("input1", 1, 224,1, offset="(0,0,0)", to="(0,0,0)", height=5, depth=224, width=5,caption='frame1'),
to_Conv("input2", 1, 224,1, offset="(20,0,0)", to="(input1-east)", height=5, depth=224, width=5,caption='frame2'),
to_Conv("input3", 1, 224,1, offset="(20,0,0)", to="(input2-east)", height=5, depth=224, width=5,caption='frame3'),
to_Conv("input4", 1, 224,1, offset="(20,0,0)", to="(input3-east)", height=5, depth=224, width=5,caption='frame4'),
to_Conv("input5", 1, 224,1, offset="(20,0,0)", to="(input4-east)", height=5, depth=224, width=5,caption='frame5'),
to_Conv("input6", 1, 224,1, offset="(20,0,0)", to="(input5-east)", height=5, depth=224, width=5,caption='frame6'),
to_Conv("input7", 1, 224,1, offset="(20,0,0)", to="(input6-east)", height=5, depth=224, width=5,caption='frame7'),
# 第一层
to_Cascade("node11", 1, 16,1, offset="(0,20,0)", to="(input1-north)", height=5, depth=32, width=5,caption=''),
to_Cascade("node21", 1, 16,1, offset="(20,0,0)", to="(node11-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node31", 1, 16,1, offset="(20,0,0)", to="(node21-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node41", 1, 16,1, offset="(20,0,0)", to="(node31-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node51", 1, 16,1, offset="(20,0,0)", to="(node41-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node61", 1, 16,1, offset="(20,0,0)", to="(node51-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node71", 1, 16,1, offset="(20,0,0)", to="(node61-east)", height=5, depth=32, width=5,caption=''),
to_connection( "node11", "node21"),
to_connection( "node21", "node31"),
to_connection( "node31", "node41"),
to_connection( "node41", "node51"),
to_connection( "node51", "node61"),
to_connection( "node61", "node71"),
to_connection( "input1", "node11","north","south"),
to_connection( "input2", "node21","north","south"),
to_connection( "input3", "node31","north","south"),
to_connection( "input4", "node41","north","south"),
to_connection( "input5", "node51","north","south"),
to_connection( "input6", "node61","north","south"),
to_connection( "input7", "node71","north","south"),
# 第二层
to_Cascade("node12", 1, 16,1, offset="(0,10,0)", to="(node11-north)", height=5, depth=32, width=5,caption=''),
to_Cascade("node22", 1, 16,1, offset="(20,0,0)", to="(node12-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node32", 1, 16,1, offset="(20,0,0)", to="(node22-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node42", 1, 16,1, offset="(20,0,0)", to="(node32-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node52", 1, 16,1, offset="(20,0,0)", to="(node42-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node62", 1, 16,1, offset="(20,0,0)", to="(node52-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node72", 1, 16,1, offset="(20,0,0)", to="(node62-east)", height=5, depth=32, width=5,caption=''),
to_connection( "node12", "node22"),
to_connection( "node22", "node32"),
to_connection( "node32", "node42"),
to_connection( "node42", "node52"),
to_connection( "node52", "node62"),
to_connection( "node62", "node72"),
to_connection( "node11", "node12","north","south"),
to_connection( "node21", "node22","north","south"),
to_connection( "node31", "node32","north","south"),
to_connection( "node41", "node42","north","south"),
to_connection( "node51", "node52","north","south"),
to_connection( "node61", "node62","north","south"),
to_connection( "node71", "node72","north","south"),
# 第三层
to_Cascade("node13", 1, 16,1, offset="(0,10,0)", to="(node12-north)", height=5, depth=32, width=5,caption=''),
to_Cascade("node23", 1, 16,1, offset="(20,0,0)", to="(node13-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node33", 1, 16,1, offset="(20,0,0)", to="(node23-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node43", 1, 16,1, offset="(20,0,0)", to="(node33-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node53", 1, 16,1, offset="(20,0,0)", to="(node43-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node63", 1, 16,1, offset="(20,0,0)", to="(node53-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node73", 1, 16,1, offset="(20,0,0)", to="(node63-east)", height=5, depth=32, width=5,caption=''),
to_connection( "node13", "node23"),
to_connection( "node23", "node33"),
to_connection( "node33", "node43"),
to_connection( "node43", "node53"),
to_connection( "node53", "node63"),
to_connection( "node63", "node73"),
to_connection( "node12", "node13","north","south"),
to_connection( "node22", "node23","north","south"),
to_connection( "node32", "node33","north","south"),
to_connection( "node42", "node43","north","south"),
to_connection( "node52", "node53","north","south"),
to_connection( "node62", "node63","north","south"),
to_connection( "node72", "node73","north","south"),
# 全连接层
to_SoftMax("softMax", 1 ,4,1, offset="(0,10,0)", to="(node73-north)", height=4, depth=8, width=4, caption="SoftMax" ),
to_connection( "node73", "softMax","north","south"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net46\\Net46.tex' )
# end draw_Net46
def draw_Net47():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 输入层
to_Conv("input1", 1, 224,1, offset="(0,0,0)", to="(0,0,0)", height=5, depth=224, width=5,caption='frame1'),
to_Conv("input2", 1, 224,1, offset="(20,0,0)", to="(input1-east)", height=5, depth=224, width=5,caption='frame2'),
to_Conv("input3", 1, 224,1, offset="(20,0,0)", to="(input2-east)", height=5, depth=224, width=5,caption='frame3'),
to_Conv("input4", 1, 224,1, offset="(20,0,0)", to="(input3-east)", height=5, depth=224, width=5,caption='frame4'),
to_Conv("input5", 1, 224,1, offset="(20,0,0)", to="(input4-east)", height=5, depth=224, width=5,caption='frame5'),
to_Conv("input6", 1, 224,1, offset="(20,0,0)", to="(input5-east)", height=5, depth=224, width=5,caption='frame6'),
to_Conv("input7", 1, 224,1, offset="(20,0,0)", to="(input6-east)", height=5, depth=224, width=5,caption='frame7'),
# 第一层
to_Cascade("node11", 1, 16,1, offset="(0,20,0)", to="(input1-north)", height=5, depth=32, width=5,caption=''),
to_Cascade("node21", 1, 16,1, offset="(20,0,0)", to="(node11-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node31", 1, 16,1, offset="(20,0,0)", to="(node21-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node41", 1, 16,1, offset="(20,0,0)", to="(node31-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node51", 1, 16,1, offset="(20,0,0)", to="(node41-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node61", 1, 16,1, offset="(20,0,0)", to="(node51-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node71", 1, 16,1, offset="(20,0,0)", to="(node61-east)", height=5, depth=32, width=5,caption=''),
to_connection( "node11", "node21"),
to_connection( "node21", "node31"),
to_connection( "node31", "node41"),
to_connection( "node41", "node51"),
to_connection( "node51", "node61"),
to_connection( "node61", "node71"),
to_connection( "input1", "node11","north","south"),
to_connection( "input2", "node21","north","south"),
to_connection( "input3", "node31","north","south"),
to_connection( "input4", "node41","north","south"),
to_connection( "input5", "node51","north","south"),
to_connection( "input6", "node61","north","south"),
to_connection( "input7", "node71","north","south"),
# 第二层
to_Cascade("node12", 1, 16,1, offset="(0,10,0)", to="(node11-north)", height=5, depth=32, width=5,caption=''),
to_Cascade("node22", 1, 16,1, offset="(20,0,0)", to="(node12-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node32", 1, 16,1, offset="(20,0,0)", to="(node22-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node42", 1, 16,1, offset="(20,0,0)", to="(node32-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node52", 1, 16,1, offset="(20,0,0)", to="(node42-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node62", 1, 16,1, offset="(20,0,0)", to="(node52-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node72", 1, 16,1, offset="(20,0,0)", to="(node62-east)", height=5, depth=32, width=5,caption=''),
to_connection( "node12", "node22"),
to_connection( "node22", "node32"),
to_connection( "node32", "node42"),
to_connection( "node42", "node52"),
to_connection( "node52", "node62"),
to_connection( "node62", "node72"),
to_connection( "node11", "node12","north","south"),
to_connection( "node21", "node22","north","south"),
to_connection( "node31", "node32","north","south"),
to_connection( "node41", "node42","north","south"),
to_connection( "node51", "node52","north","south"),
to_connection( "node61", "node62","north","south"),
to_connection( "node71", "node72","north","south"),
# 第三层
to_Cascade("node13", 1, 16,1, offset="(0,10,0)", to="(node12-north)", height=5, depth=32, width=5,caption=''),
to_Cascade("node23", 1, 16,1, offset="(20,0,0)", to="(node13-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node33", 1, 16,1, offset="(20,0,0)", to="(node23-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node43", 1, 16,1, offset="(20,0,0)", to="(node33-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node53", 1, 16,1, offset="(20,0,0)", to="(node43-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node63", 1, 16,1, offset="(20,0,0)", to="(node53-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node73", 1, 16,1, offset="(20,0,0)", to="(node63-east)", height=5, depth=32, width=5,caption=''),
to_connection( "node13", "node23"),
to_connection( "node23", "node33"),
to_connection( "node33", "node43"),
to_connection( "node43", "node53"),
to_connection( "node53", "node63"),
to_connection( "node63", "node73"),
to_connection( "node12", "node13","north","south"),
to_connection( "node22", "node23","north","south"),
to_connection( "node32", "node33","north","south"),
to_connection( "node42", "node43","north","south"),
to_connection( "node52", "node53","north","south"),
to_connection( "node62", "node63","north","south"),
to_connection( "node72", "node73","north","south"),
# 全连接层
to_Sum( "sum", offset="(0,20,0)", to="(node43-north)", radius=2.5, opacity=0.6),
to_connection( "node13", "sum","north","south"),
to_connection( "node23", "sum","north","south"),
to_connection( "node33", "sum","north","south"),
to_connection( "node43", "sum","north","south"),
to_connection( "node53", "sum","north","south"),
to_connection( "node63", "sum","north","south"),
to_connection( "node73", "sum","north","south"),
to_Cascade("cascade", 1,112,1, offset="(0,10,0)", to="(sum-north)", height=5, depth=112, width=5,caption='cascade'),
to_connection( "sum", "cascade","north","south"),
to_SoftMax("softMax", 1 ,4,1, offset="(0,10,0)", to="(cascade-north)", height=4, depth=8, width=4, caption="SoftMax" ),
to_connection( "cascade", "softMax","north","south"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net47\\Net47.tex' )
# end draw_Net47
def draw_Net48():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 第一帧
# CNN 模块
to_Conv("input", 32, 32,3, offset="(0,0,0)", to="(0,0,0)", height=32, depth=32, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=6, height=6),
to_ConvRelu("conv1", 28, 28,6, offset="(3,0,0)", to="(input-east)", height=28, depth=28, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 14,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=14, width=6,caption="AvgPool"),
to_ConvRelu("conv2", 10, 10,8, offset="(2,0,0)", to="(pool1-east)", height=10, depth=10, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool21", 5, 5,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=5, width=8,caption="AvgPool"),
# LSTM 模块
to_Conv("input1", 1, 200,1, offset="(5,0,0)", to="(pool21-east)", height=2.5, depth=100, width=2.5,caption='frame1'),
to_Cascade("node11", 1, 16,1, offset="(6,0,0)", to="(input1-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node21", 1, 16,1, offset="(3,0,0)", to="(node11-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node31", 1, 16,1, offset="(3,0,0)", to="(node21-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool21", "input1"),
to_connection( "input1", "node11"),
to_connection( "node11", "node21"),
to_connection( "node21", "node31"),
# 第二帧
# CNN 模块
to_Conv("input", 32, 32,3, offset="(0,-10,0)", to="(0,0,0)", height=32, depth=32, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=6, height=6),
to_ConvRelu("conv12", 28, 28,6, offset="(3,0,0)", to="(input-east)", height=28, depth=28, width=6,caption='conv1'),
to_connection( "input", "conv12"),
to_Pool("pool1", 14, 14,6,offset="(0,0,0)", to="(conv12-east)",height=14, depth=14, width=6,caption="AvgPool"),
to_ConvRelu("conv2", 10, 10,8, offset="(2,0,0)", to="(pool1-east)", height=10, depth=10, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool22", 5, 5,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=5, width=8,caption="AvgPool"),
# LSTM 模块
to_Conv("input2", 1, 200,1, offset="(5,0,0)", to="(pool22-east)", height=2.5, depth=100, width=2.5,caption='frame1'),
to_Cascade("node12", 1, 16,1, offset="(6,0,0)", to="(input2-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node22", 1, 16,1, offset="(3,0,0)", to="(node12-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node32", 1, 16,1, offset="(3,0,0)", to="(node22-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool22", "input2"),
to_connection( "input2", "node12"),
to_connection( "node12", "node22"),
to_connection( "node22", "node32"),
to_transNode("transNode11",offset="(0,-4,0)", to="(node12-south)"),
to_transNode("transNode21",offset="(0,-4,0)", to="(node22-south)"),
to_transNode("transNode31",offset="(0,-4,0)", to="(node32-south)"),
to_connection( "node11", "node12","south","north"),
to_connection( "node21", "node22","south","north"),
to_connection( "node31", "node32","south","north"),
to_connection( "node12", "transNode11","south","north"),
to_connection( "node22", "transNode21","south","north"),
to_connection( "node32", "transNode31","south","north"),
# 第七帧
# CNN 模块
to_Conv("input", 32, 32,3, offset="(0,-25,0)", to="(0,0,0)", height=32, depth=32, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=6, height=6),
to_ConvRelu("conv17", 28, 28,6, offset="(3,0,0)", to="(input-east)", height=28, depth=28, width=6,caption='conv1'),
to_connection( "input", "conv17"),
to_Pool("pool1", 14, 14,6,offset="(0,0,0)", to="(conv17-east)",height=14, depth=14, width=6,caption="AvgPool"),
to_ConvRelu("conv2", 10, 10,8, offset="(2,0,0)", to="(pool1-east)", height=10, depth=10, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool27", 5, 5,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=5, width=8,caption="AvgPool"),
# LSTM 模块
to_Conv("input7", 1, 200,1, offset="(5,0,0)", to="(pool27-east)", height=2.5, depth=100, width=2.5,caption='frame1'),
to_Cascade("node17", 1, 16,1, offset="(6,0,0)", to="(input7-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node27", 1, 16,1, offset="(3,0,0)", to="(node17-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node37", 1, 16,1, offset="(3,0,0)", to="(node27-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool27", "input7"),
to_connection( "input7", "node17"),
to_connection( "node17", "node27"),
to_connection( "node27", "node37"),
to_transNode("transNode12", offset="(0,4,0)", to="(node17-south)"),
to_transNode("transNode22", offset="(0,4,0)", to="(node27-south)"),
to_transNode("transNode32", offset="(0,4,0)", to="(node37-south)"),
to_connection( "transNode12", "node17","south","north"),
to_connection( "transNode22", "node27","south","north"),
to_connection( "transNode32", "node37","south","north"),
# # 省略号
# to_ellipsis( "conv12", "conv17"),
# 全连接层
to_SoftMax("softMax", 1 ,4,1, offset="(3,0,0)", to="(node37-east)", height=2, depth=5, width=2, caption="SoftMax" ),
to_connection( "node37", "softMax"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net48\\Net48.tex' )
# end draw_Net48
def draw_Net49():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 第一帧
# CNN 模块
to_Conv("input", 32, 96,3, offset="(0,0,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool31", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# LSTM 模块
to_Conv("input1", 1, 64,1, offset="(5,0,0)", to="(pool31-east)", height=2.5, depth=64, width=2.5,caption='frame1'),
to_Cascade("node11", 1, 8,1, offset="(6,0,0)", to="(input1-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node21", 1, 8,1, offset="(3,0,0)", to="(node11-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node31", 1, 8,1, offset="(3,0,0)", to="(node21-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool31", "input1"),
to_connection( "input1", "node11"),
to_connection( "node11", "node21"),
to_connection( "node21", "node31"),
# 第二帧
to_Conv("input", 32, 96,3, offset="(0,15,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool32", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# LSTM 模块
to_Conv("input2", 1, 64,1, offset="(5,0,0)", to="(pool32-east)", height=2.5, depth=64, width=2.5,caption='frame2'),
to_Cascade("node12", 1, 8,1, offset="(6,0,0)", to="(input2-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node22", 1, 8,1, offset="(3,0,0)", to="(node12-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node32", 1, 8,1, offset="(3,0,0)", to="(node22-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool32", "input2"),
to_connection( "input2", "node12"),
to_connection( "node12", "node22"),
to_connection( "node22", "node32"),
# 第三帧
to_Conv("input", 32, 96,3, offset="(0,30,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool33", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# LSTM 模块
to_Conv("input3", 1, 64,1, offset="(5,0,0)", to="(pool33-east)", height=2.5, depth=64, width=2.5,caption='frame3'),
to_Cascade("node13", 1, 8,1, offset="(6,0,0)", to="(input3-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node23", 1, 8,1, offset="(3,0,0)", to="(node13-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node33", 1, 8,1, offset="(3,0,0)", to="(node23-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool33", "input3"),
to_connection( "input3", "node13"),
to_connection( "node13", "node23"),
to_connection( "node23", "node33"),
# 第四帧
to_Conv("input", 32, 96,3, offset="(0,45,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool34", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# LSTM 模块
to_Conv("input4", 1, 64,1, offset="(5,0,0)", to="(pool34-east)", height=2.5, depth=64, width=2.5,caption='frame4'),
to_Cascade("node14", 1, 8,1, offset="(6,0,0)", to="(input4-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node24", 1, 8,1, offset="(3,0,0)", to="(node14-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node34", 1, 8,1, offset="(3,0,0)", to="(node24-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool34", "input4"),
to_connection( "input4", "node14"),
to_connection( "node14", "node24"),
to_connection( "node24", "node34"),
# 全连接层
to_Sum( "sum", offset="(12,7,0)", to="(node32-east)", radius=2.5, opacity=0.6),
to_connection( "node31", "sum"),
to_connection( "node32", "sum"),
to_connection( "node33", "sum"),
to_connection( "node34", "sum"),
to_Cascade("cascade", 1, 32,1, offset="(5,0,0)", to="(sum-east)", height=2.5, depth=32, width=2.5,caption='cascade'),
to_connection( "sum", "cascade"),
to_SoftMax("softMax", 1 ,4,1, offset="(3,0,0)", to="(cascade-east)", height=2, depth=5, width=2, caption="SoftMax" ),
to_connection( "cascade", "softMax"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net49\\Net49.tex' )
# end draw_Net49
def draw_Net2():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 第一帧
to_Conv("input", 32, 96,3, offset="(0,0,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool31", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# 第二帧
to_Conv("input", 32, 96,3, offset="(0,15,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool32", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# 第三帧
to_Conv("input", 32, 96,3, offset="(0,30,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool33", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# 第四帧
to_Conv("input", 32, 96,3, offset="(0,45,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool34", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# 全连接层
to_Sum( "sum", offset="(12,7,0)", to="(pool32-east)", radius=2.5, opacity=0.6),
to_connection( "pool31", "sum"),
to_connection( "pool32", "sum"),
to_connection( "pool33", "sum"),
to_connection( "pool34", "sum"),
to_Cascade("cascade", 1, 256,1, offset="(5,0,0)", to="(sum-east)", height=3.5, depth=256, width=3.5,caption='cascade'),
to_connection( "sum", "cascade"),
to_FcRelu_fine("fc1", 1, 32,1, offset="(3,0,0)", to="(cascade-east)", height=2.5, depth=32, width=2.5,caption='fc1'),
to_connection( "cascade", "fc1"),
to_FcRelu_fine("fc2", 1, 8,1, offset="(3,0,0)", to="(fc1-east)", height=2.5, depth=8, width=2.5,caption='fc2'),
to_connection( "fc1", "fc2"),
to_SoftMax("softMax", 1 ,2,1, offset="(3,0,0)", to="(fc2-east)", height=1, depth=2, width=1, caption="SoftMax" ),
to_connection( "fc2", "softMax"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net2\\Net2.tex' )
# end draw_Net2
def draw_Net22():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 第一帧
to_Conv("input", 32, 32,3, offset="(0,0,0)", to="(0,0,0)", height=32, depth=32, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=6, height=6),
to_ConvRelu("conv1", 28, 28,6, offset="(3,0,0)", to="(input-east)", height=28, depth=28, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 14,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=14, width=6,caption="AvgPool"),
to_ConvRelu("conv2", 10, 10,8, offset="(2,0,0)", to="(pool1-east)", height=10, depth=10, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool21", 5, 5,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=5, width=8,caption="AvgPool"),
# 第二帧
to_Conv("input", 32, 32,3, offset="(0,-10,0)", to="(0,0,0)", height=32, depth=32, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=6, height=6),
to_ConvRelu("conv12", 28, 28,6, offset="(3,0,0)", to="(input-east)", height=28, depth=28, width=6,caption='conv1'),
to_connection( "input", "conv12"),
to_Pool("pool1", 14, 14,6,offset="(0,0,0)", to="(conv12-east)",height=14, depth=14, width=6,caption="AvgPool"),
to_ConvRelu("conv2", 10, 10,8, offset="(2,0,0)", to="(pool1-east)", height=10, depth=10, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool22", 5, 5,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=5, width=8,caption="AvgPool"),
# 第七帧
to_Conv("input", 32, 32,3, offset="(0,-25,0)", to="(0,0,0)", height=32, depth=32, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=6, height=6),
to_ConvRelu("conv17", 28, 28,6, offset="(3,0,0)", to="(input-east)", height=28, depth=28, width=6,caption='conv1'),
to_connection( "input", "conv17"),
to_Pool("pool1", 14, 14,6,offset="(0,0,0)", to="(conv17-east)",height=14, depth=14, width=6,caption="AvgPool"),
to_ConvRelu("conv2", 10, 10,8, offset="(2,0,0)", to="(pool1-east)", height=10, depth=10, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool27", 5, 5,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=5, width=8,caption="AvgPool"),
# # 省略号
# to_ellipsis( "conv12", "conv17"),
# 全连接层
to_Sum( "sum", offset="(10,10,0)", to="(pool27-east)", radius=2.5, opacity=0.6),
to_connection( "pool21", "sum"),
to_connection( "pool22", "sum"),
to_connection( "pool27", "sum"),
to_Cascade("cascade", 1, 1400,1, offset="(3,0,0)", to="(sum-east)", height=2.5, depth=280, width=2.5,caption='cascade'),
to_connection( "sum", "cascade"),
to_FcRelu_fine("fc1", 1, 64,1, offset="(3,0,0)", to="(cascade-east)", height=2, depth=64, width=2,caption='fc1'),
to_connection( "cascade", "fc1"),
to_FcRelu_fine("fc2", 1, 16,1, offset="(3,0,0)", to="(fc1-east)", height=2, depth=16, width=2,caption='fc2'),
to_connection( "fc1", "fc2"),
to_SoftMax("softMax", 1 ,2,1, offset="(3,0,0)", to="(fc2-east)", height=1, depth=2, width=1, caption="SoftMax" ),
to_connection( "fc2", "softMax"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net22\\Net22.tex' )
# end draw_Net22
def draw_Net23():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 输入层
to_Conv("input1", 1, 32,1, offset="(0,0,0)", to="(0,0,0)", height=4, depth=32, width=4,caption='frame1'),
to_Conv("input4", 1, 32,1, offset="(30,0,0)", to="(input1-east)", height=4, depth=32, width=4,caption='frame4'),
to_Conv("input7", 1, 32,1, offset="(30,0,0)", to="(input4-east)", height=4, depth=32, width=4,caption='frame7'),
# 第一层
to_Cascade("node11", 1, 16,1, offset="(0,12,0)", to="(input1-north)", height=4, depth=16, width=4,caption=''),
to_transNode("transNode21",offset="(8,0,0)", to="(node11-east)"),
to_transNode("transNode31",offset="(14,0,0)", to="(transNode21-east)"),
to_Cascade("node41", 1, 16,1, offset="(30,0,0)", to="(node11-east)", height=4, depth=16, width=4,caption=''),
to_transNode("transNode51",offset="(8,0,0)", to="(node41-east)"),
to_transNode("transNode61",offset="(14,0,0)", to="(transNode51-east)"),
to_Cascade("node71", 1, 16,1, offset="(30,0,0)", to="(node41-east)", height=4, depth=16, width=4,caption=''),
to_connection( "node11", "transNode21"),
to_connection( "transNode31", "node41"),
to_connection( "node41", "transNode51"),
to_connection( "transNode61", "node71"),
to_connection( "input1", "node11","north","south"),
to_connection( "input4", "node41","north","south"),
to_connection( "input7", "node71","north","south"),
# 第二层
to_Cascade("node12", 1, 16,1, offset="(0,10,0)", to="(node11-north)", height=4, depth=16, width=4,caption=''),
to_transNode("transNode22",offset="(8,0,0)", to="(node12-east)"),
to_transNode("transNode32",offset="(14,0,0)", to="(transNode22-east)"),
to_Cascade("node42", 1, 16,1, offset="(30,0,0)", to="(node12-east)", height=4, depth=16, width=4,caption=''),
to_transNode("transNode52",offset="(8,0,0)", to="(node42-east)"),
to_transNode("transNode62",offset="(14,0,0)", to="(transNode52-east)"),
to_Cascade("node72", 1, 16,1, offset="(30,0,0)", to="(node42-east)", height=4, depth=16, width=4,caption=''),
to_connection( "node12", "transNode22"),
to_connection( "transNode32", "node42"),
to_connection( "node42", "transNode52"),
to_connection( "transNode62", "node72"),
to_connection( "node11", "node12","north","south"),
to_connection( "node41", "node42","north","south"),
to_connection( "node71", "node72","north","south"),
# 第三层
to_Cascade("node13", 1, 16,1, offset="(0,10,0)", to="(node12-north)", height=4, depth=16, width=4,caption=''),
to_transNode("transNode23",offset="(8,0,0)", to="(node13-east)"),
to_transNode("transNode33",offset="(14,0,0)", to="(transNode23-east)"),
to_Cascade("node43", 1, 16,1, offset="(30,0,0)", to="(node13-east)", height=4, depth=16, width=4,caption=''),
to_transNode("transNode53",offset="(8,0,0)", to="(node43-east)"),
to_transNode("transNode63",offset="(14,0,0)", to="(transNode53-east)"),
to_Cascade("node73", 1, 16,1, offset="(30,0,0)", to="(node43-east)", height=4, depth=16, width=4,caption=''),
to_connection( "node13", "transNode23"),
to_connection( "transNode33", "node43"),
to_connection( "node43", "transNode53"),
to_connection( "transNode63", "node73"),
to_connection( "node12", "node13","north","south"),
to_connection( "node42", "node43","north","south"),
to_connection( "node72", "node73","north","south"),
# 全连接层
to_SoftMax("softMax", 1 ,2,1, offset="(0,10,0)", to="(node73-north)", height=3, depth=6, width=3, caption="SoftMax" ),
to_connection( "node73", "softMax","north","south"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net23\\Net23.tex' )
# end draw_Net23
def draw_Net24():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 输入层
to_Conv("input1", 1, 32,1, offset="(0,0,0)", to="(0,0,0)", height=4, depth=32, width=4,caption='frame1'),
to_Conv("input4", 1, 32,1, offset="(30,0,0)", to="(input1-east)", height=4, depth=32, width=4,caption='frame4'),
to_Conv("input7", 1, 32,1, offset="(30,0,0)", to="(input4-east)", height=4, depth=32, width=4,caption='frame7'),
# 第一层
to_Cascade("node11", 1, 16,1, offset="(0,12,0)", to="(input1-north)", height=4, depth=16, width=4,caption=''),
to_transNode("transNode21",offset="(8,0,0)", to="(node11-east)"),
to_transNode("transNode31",offset="(14,0,0)", to="(transNode21-east)"),
to_Cascade("node41", 1, 16,1, offset="(30,0,0)", to="(node11-east)", height=4, depth=16, width=4,caption=''),
to_transNode("transNode51",offset="(8,0,0)", to="(node41-east)"),
to_transNode("transNode61",offset="(14,0,0)", to="(transNode51-east)"),
to_Cascade("node71", 1, 16,1, offset="(30,0,0)", to="(node41-east)", height=4, depth=16, width=4,caption=''),
to_connection( "node11", "transNode21"),
to_connection( "transNode31", "node41"),
to_connection( "node41", "transNode51"),
to_connection( "transNode61", "node71"),
to_connection( "input1", "node11","north","south"),
to_connection( "input4", "node41","north","south"),
to_connection( "input7", "node71","north","south"),
# 第二层
to_Cascade("node12", 1, 16,1, offset="(0,10,0)", to="(node11-north)", height=4, depth=16, width=4,caption=''),
to_transNode("transNode22",offset="(8,0,0)", to="(node12-east)"),
to_transNode("transNode32",offset="(14,0,0)", to="(transNode22-east)"),
to_Cascade("node42", 1, 16,1, offset="(30,0,0)", to="(node12-east)", height=4, depth=16, width=4,caption=''),
to_transNode("transNode52",offset="(8,0,0)", to="(node42-east)"),
to_transNode("transNode62",offset="(14,0,0)", to="(transNode52-east)"),
to_Cascade("node72", 1, 16,1, offset="(30,0,0)", to="(node42-east)", height=4, depth=16, width=4,caption=''),
to_connection( "node12", "transNode22"),
to_connection( "transNode32", "node42"),
to_connection( "node42", "transNode52"),
to_connection( "transNode62", "node72"),
to_connection( "node11", "node12","north","south"),
to_connection( "node41", "node42","north","south"),
to_connection( "node71", "node72","north","south"),
# 第三层
to_Cascade("node13", 1, 16,1, offset="(0,10,0)", to="(node12-north)", height=4, depth=16, width=4,caption=''),
to_transNode("transNode23",offset="(8,0,0)", to="(node13-east)"),
to_transNode("transNode33",offset="(14,0,0)", to="(transNode23-east)"),
to_Cascade("node43", 1, 16,1, offset="(30,0,0)", to="(node13-east)", height=4, depth=16, width=4,caption=''),
to_transNode("transNode53",offset="(8,0,0)", to="(node43-east)"),
to_transNode("transNode63",offset="(14,0,0)", to="(transNode53-east)"),
to_Cascade("node73", 1, 16,1, offset="(30,0,0)", to="(node43-east)", height=4, depth=16, width=4,caption=''),
to_connection( "node13", "transNode23"),
to_connection( "transNode33", "node43"),
to_connection( "node43", "transNode53"),
to_connection( "transNode63", "node73"),
to_connection( "node12", "node13","north","south"),
to_connection( "node42", "node43","north","south"),
to_connection( "node72", "node73","north","south"),
# 全连接层
to_Sum( "sum", offset="(0,10,0)", to="(node43-north)", radius=2.5, opacity=0.6),
to_connection( "node13", "sum","north","south"),
to_connection( "node43", "sum","north","south"),
to_connection( "node73", "sum","north","south"),
to_Cascade("cascade", 1,4096,1, offset="(0,10,0)", to="(sum-north)", height=5, depth=112, width=5,caption='cascade'),
to_connection( "sum", "cascade","north","south"),
to_FcRelu_fine("fc1", 1, 128,1, offset="(0,8,0)", to="(cascade-north)", height=5, depth=32, width=5,caption='fc1'),
to_connection( "cascade", "fc1","north","south"),
to_FcRelu_fine("fc2", 1, 16,1, offset="(0,8,0)", to="(fc1-north)", height=5, depth=16, width=5,caption='fc1'),
to_connection( "fc1", "fc2","north","south"),
to_SoftMax("softMax", 1 ,2,1, offset="(0,5,0)", to="(fc2-north)", height=3, depth=6, width=3, caption="SoftMax" ),
to_connection( "fc2", "softMax","north","south"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net24\\Net24.tex' )
# end draw_Net24
def draw_Net25():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 第一帧
to_Conv("input", 224, 1,1, offset="(0,0,0)", to="(0,0,0)", height=112, depth=6, width=6,caption='input'),
to_FcRelu("fc1", 1024, 1,1, offset="(3,0,0)", to="(input-east)", height=325, depth=6, width=6,caption='fc1'),
to_connection( "input", "fc1"),
to_FcRelu("fc2", 1024, 1,1, offset="(3,0,0)", to="(fc1-east)", height=325, depth=6, width=6,caption='fc2'),
to_connection( "fc1", "fc2"),
to_FcRelu("fc3", 256, 1,1, offset="(3,0,0)", to="(fc2-east)", height=128, depth=6, width=6,caption='fc3'),
to_connection( "fc2", "fc3"),
to_FcRelu("fc4", 64, 1,1, offset="(3,0,0)", to="(fc3-east)", height=30, depth=6, width=6,caption='fc4'),
to_connection( "fc3", "fc4"),
to_FcRelu_fine("fc5", 16, 1,1, offset="(3,0,0)", to="(fc4-east)", height=16, depth=4, width=4,caption='fc5'),
to_connection( "fc4", "fc5"),
to_SoftMax("softMax", 2 ,1,1, offset="(3,0,0)", to="(fc5-east)", height=3, depth=2, width=2, caption="SoftMax" ),
to_connection( "fc5", "softMax"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net25\\Net25.tex' )
# end draw_Net25
def draw_Net26():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 输入层
to_Conv("input1", 1, 224,1, offset="(0,0,0)", to="(0,0,0)", height=5, depth=224, width=5,caption='frame1'),
to_Conv("input2", 1, 224,1, offset="(20,0,0)", to="(input1-east)", height=5, depth=224, width=5,caption='frame2'),
to_Conv("input3", 1, 224,1, offset="(20,0,0)", to="(input2-east)", height=5, depth=224, width=5,caption='frame3'),
to_Conv("input4", 1, 224,1, offset="(20,0,0)", to="(input3-east)", height=5, depth=224, width=5,caption='frame4'),
to_Conv("input5", 1, 224,1, offset="(20,0,0)", to="(input4-east)", height=5, depth=224, width=5,caption='frame5'),
to_Conv("input6", 1, 224,1, offset="(20,0,0)", to="(input5-east)", height=5, depth=224, width=5,caption='frame6'),
to_Conv("input7", 1, 224,1, offset="(20,0,0)", to="(input6-east)", height=5, depth=224, width=5,caption='frame7'),
# 第一层
to_Cascade("node11", 1, 16,1, offset="(0,20,0)", to="(input1-north)", height=5, depth=32, width=5,caption=''),
to_Cascade("node21", 1, 16,1, offset="(20,0,0)", to="(node11-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node31", 1, 16,1, offset="(20,0,0)", to="(node21-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node41", 1, 16,1, offset="(20,0,0)", to="(node31-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node51", 1, 16,1, offset="(20,0,0)", to="(node41-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node61", 1, 16,1, offset="(20,0,0)", to="(node51-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node71", 1, 16,1, offset="(20,0,0)", to="(node61-east)", height=5, depth=32, width=5,caption=''),
to_connection( "node11", "node21"),
to_connection( "node21", "node31"),
to_connection( "node31", "node41"),
to_connection( "node41", "node51"),
to_connection( "node51", "node61"),
to_connection( "node61", "node71"),
to_connection( "input1", "node11","north","south"),
to_connection( "input2", "node21","north","south"),
to_connection( "input3", "node31","north","south"),
to_connection( "input4", "node41","north","south"),
to_connection( "input5", "node51","north","south"),
to_connection( "input6", "node61","north","south"),
to_connection( "input7", "node71","north","south"),
# 第二层
to_Cascade("node12", 1, 16,1, offset="(0,10,0)", to="(node11-north)", height=5, depth=32, width=5,caption=''),
to_Cascade("node22", 1, 16,1, offset="(20,0,0)", to="(node12-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node32", 1, 16,1, offset="(20,0,0)", to="(node22-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node42", 1, 16,1, offset="(20,0,0)", to="(node32-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node52", 1, 16,1, offset="(20,0,0)", to="(node42-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node62", 1, 16,1, offset="(20,0,0)", to="(node52-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node72", 1, 16,1, offset="(20,0,0)", to="(node62-east)", height=5, depth=32, width=5,caption=''),
to_connection( "node12", "node22"),
to_connection( "node22", "node32"),
to_connection( "node32", "node42"),
to_connection( "node42", "node52"),
to_connection( "node52", "node62"),
to_connection( "node62", "node72"),
to_connection( "node11", "node12","north","south"),
to_connection( "node21", "node22","north","south"),
to_connection( "node31", "node32","north","south"),
to_connection( "node41", "node42","north","south"),
to_connection( "node51", "node52","north","south"),
to_connection( "node61", "node62","north","south"),
to_connection( "node71", "node72","north","south"),
# 第三层
to_Cascade("node13", 1, 16,1, offset="(0,10,0)", to="(node12-north)", height=5, depth=32, width=5,caption=''),
to_Cascade("node23", 1, 16,1, offset="(20,0,0)", to="(node13-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node33", 1, 16,1, offset="(20,0,0)", to="(node23-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node43", 1, 16,1, offset="(20,0,0)", to="(node33-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node53", 1, 16,1, offset="(20,0,0)", to="(node43-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node63", 1, 16,1, offset="(20,0,0)", to="(node53-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node73", 1, 16,1, offset="(20,0,0)", to="(node63-east)", height=5, depth=32, width=5,caption=''),
to_connection( "node13", "node23"),
to_connection( "node23", "node33"),
to_connection( "node33", "node43"),
to_connection( "node43", "node53"),
to_connection( "node53", "node63"),
to_connection( "node63", "node73"),
to_connection( "node12", "node13","north","south"),
to_connection( "node22", "node23","north","south"),
to_connection( "node32", "node33","north","south"),
to_connection( "node42", "node43","north","south"),
to_connection( "node52", "node53","north","south"),
to_connection( "node62", "node63","north","south"),
to_connection( "node72", "node73","north","south"),
# 全连接层
to_SoftMax("softMax", 1 ,2,1, offset="(0,10,0)", to="(node73-north)", height=4, depth=6, width=4, caption="SoftMax" ),
to_connection( "node73", "softMax","north","south"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net26\\Net26.tex' )
# end draw_Net26
def draw_Net27():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 输入层
to_Conv("input1", 1, 224,1, offset="(0,0,0)", to="(0,0,0)", height=5, depth=224, width=5,caption='frame1'),
to_Conv("input2", 1, 224,1, offset="(20,0,0)", to="(input1-east)", height=5, depth=224, width=5,caption='frame2'),
to_Conv("input3", 1, 224,1, offset="(20,0,0)", to="(input2-east)", height=5, depth=224, width=5,caption='frame3'),
to_Conv("input4", 1, 224,1, offset="(20,0,0)", to="(input3-east)", height=5, depth=224, width=5,caption='frame4'),
to_Conv("input5", 1, 224,1, offset="(20,0,0)", to="(input4-east)", height=5, depth=224, width=5,caption='frame5'),
to_Conv("input6", 1, 224,1, offset="(20,0,0)", to="(input5-east)", height=5, depth=224, width=5,caption='frame6'),
to_Conv("input7", 1, 224,1, offset="(20,0,0)", to="(input6-east)", height=5, depth=224, width=5,caption='frame7'),
# 第一层
to_Cascade("node11", 1, 16,1, offset="(0,20,0)", to="(input1-north)", height=5, depth=32, width=5,caption=''),
to_Cascade("node21", 1, 16,1, offset="(20,0,0)", to="(node11-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node31", 1, 16,1, offset="(20,0,0)", to="(node21-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node41", 1, 16,1, offset="(20,0,0)", to="(node31-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node51", 1, 16,1, offset="(20,0,0)", to="(node41-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node61", 1, 16,1, offset="(20,0,0)", to="(node51-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node71", 1, 16,1, offset="(20,0,0)", to="(node61-east)", height=5, depth=32, width=5,caption=''),
to_connection( "node11", "node21"),
to_connection( "node21", "node31"),
to_connection( "node31", "node41"),
to_connection( "node41", "node51"),
to_connection( "node51", "node61"),
to_connection( "node61", "node71"),
to_connection( "input1", "node11","north","south"),
to_connection( "input2", "node21","north","south"),
to_connection( "input3", "node31","north","south"),
to_connection( "input4", "node41","north","south"),
to_connection( "input5", "node51","north","south"),
to_connection( "input6", "node61","north","south"),
to_connection( "input7", "node71","north","south"),
# 第二层
to_Cascade("node12", 1, 16,1, offset="(0,10,0)", to="(node11-north)", height=5, depth=32, width=5,caption=''),
to_Cascade("node22", 1, 16,1, offset="(20,0,0)", to="(node12-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node32", 1, 16,1, offset="(20,0,0)", to="(node22-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node42", 1, 16,1, offset="(20,0,0)", to="(node32-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node52", 1, 16,1, offset="(20,0,0)", to="(node42-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node62", 1, 16,1, offset="(20,0,0)", to="(node52-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node72", 1, 16,1, offset="(20,0,0)", to="(node62-east)", height=5, depth=32, width=5,caption=''),
to_connection( "node12", "node22"),
to_connection( "node22", "node32"),
to_connection( "node32", "node42"),
to_connection( "node42", "node52"),
to_connection( "node52", "node62"),
to_connection( "node62", "node72"),
to_connection( "node11", "node12","north","south"),
to_connection( "node21", "node22","north","south"),
to_connection( "node31", "node32","north","south"),
to_connection( "node41", "node42","north","south"),
to_connection( "node51", "node52","north","south"),
to_connection( "node61", "node62","north","south"),
to_connection( "node71", "node72","north","south"),
# 第三层
to_Cascade("node13", 1, 16,1, offset="(0,10,0)", to="(node12-north)", height=5, depth=32, width=5,caption=''),
to_Cascade("node23", 1, 16,1, offset="(20,0,0)", to="(node13-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node33", 1, 16,1, offset="(20,0,0)", to="(node23-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node43", 1, 16,1, offset="(20,0,0)", to="(node33-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node53", 1, 16,1, offset="(20,0,0)", to="(node43-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node63", 1, 16,1, offset="(20,0,0)", to="(node53-east)", height=5, depth=32, width=5,caption=''),
to_Cascade("node73", 1, 16,1, offset="(20,0,0)", to="(node63-east)", height=5, depth=32, width=5,caption=''),
to_connection( "node13", "node23"),
to_connection( "node23", "node33"),
to_connection( "node33", "node43"),
to_connection( "node43", "node53"),
to_connection( "node53", "node63"),
to_connection( "node63", "node73"),
to_connection( "node12", "node13","north","south"),
to_connection( "node22", "node23","north","south"),
to_connection( "node32", "node33","north","south"),
to_connection( "node42", "node43","north","south"),
to_connection( "node52", "node53","north","south"),
to_connection( "node62", "node63","north","south"),
to_connection( "node72", "node73","north","south"),
# 全连接层
to_Sum( "sum", offset="(0,20,0)", to="(node43-north)", radius=2.5, opacity=0.6),
to_connection( "node13", "sum","north","south"),
to_connection( "node23", "sum","north","south"),
to_connection( "node33", "sum","north","south"),
to_connection( "node43", "sum","north","south"),
to_connection( "node53", "sum","north","south"),
to_connection( "node63", "sum","north","south"),
to_connection( "node73", "sum","north","south"),
to_Cascade("cascade", 1,112,1, offset="(0,10,0)", to="(sum-north)", height=5, depth=112, width=5,caption='cascade'),
to_connection( "sum", "cascade","north","south"),
to_FcRelu_fine("fc1", 1, 16,1, offset="(0,10,0)", to="(cascade-north)", height=5, depth=16, width=5,caption='fc1'),
to_connection( "cascade", "fc1","north","south"),
to_SoftMax("softMax", 1 ,2,1, offset="(0,10,0)", to="(fc1-north)", height=3, depth=6, width=3, caption="SoftMax" ),
to_connection( "fc1", "softMax","north","south"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net27\\Net27.tex' )
# end draw_Net27
def draw_Net28():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 第一帧
# CNN 模块
to_Conv("input", 32, 32,3, offset="(0,0,0)", to="(0,0,0)", height=32, depth=32, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=6, height=6),
to_ConvRelu("conv1", 28, 28,6, offset="(3,0,0)", to="(input-east)", height=28, depth=28, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 14,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=14, width=6,caption="AvgPool"),
to_ConvRelu("conv2", 10, 10,8, offset="(2,0,0)", to="(pool1-east)", height=10, depth=10, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool21", 5, 5,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=5, width=8,caption="AvgPool"),
# LSTM 模块
to_Conv("input1", 1, 200,1, offset="(5,0,0)", to="(pool21-east)", height=2.5, depth=100, width=2.5,caption='frame1'),
to_Cascade("node11", 1, 16,1, offset="(6,0,0)", to="(input1-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node21", 1, 16,1, offset="(3,0,0)", to="(node11-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node31", 1, 16,1, offset="(3,0,0)", to="(node21-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool21", "input1"),
to_connection( "input1", "node11"),
to_connection( "node11", "node21"),
to_connection( "node21", "node31"),
# 第二帧
# CNN 模块
to_Conv("input", 32, 32,3, offset="(0,-10,0)", to="(0,0,0)", height=32, depth=32, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=6, height=6),
to_ConvRelu("conv12", 28, 28,6, offset="(3,0,0)", to="(input-east)", height=28, depth=28, width=6,caption='conv1'),
to_connection( "input", "conv12"),
to_Pool("pool1", 14, 14,6,offset="(0,0,0)", to="(conv12-east)",height=14, depth=14, width=6,caption="AvgPool"),
to_ConvRelu("conv2", 10, 10,8, offset="(2,0,0)", to="(pool1-east)", height=10, depth=10, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool22", 5, 5,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=5, width=8,caption="AvgPool"),
# LSTM 模块
to_Conv("input2", 1, 200,1, offset="(5,0,0)", to="(pool22-east)", height=2.5, depth=100, width=2.5,caption='frame1'),
to_Cascade("node12", 1, 16,1, offset="(6,0,0)", to="(input2-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node22", 1, 16,1, offset="(3,0,0)", to="(node12-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node32", 1, 16,1, offset="(3,0,0)", to="(node22-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool22", "input2"),
to_connection( "input2", "node12"),
to_connection( "node12", "node22"),
to_connection( "node22", "node32"),
to_transNode("transNode11",offset="(0,-4,0)", to="(node12-south)"),
to_transNode("transNode21",offset="(0,-4,0)", to="(node22-south)"),
to_transNode("transNode31",offset="(0,-4,0)", to="(node32-south)"),
to_connection( "node11", "node12","south","north"),
to_connection( "node21", "node22","south","north"),
to_connection( "node31", "node32","south","north"),
to_connection( "node12", "transNode11","south","north"),
to_connection( "node22", "transNode21","south","north"),
to_connection( "node32", "transNode31","south","north"),
# 第七帧
# CNN 模块
to_Conv("input", 32, 32,3, offset="(0,-25,0)", to="(0,0,0)", height=32, depth=32, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=6, height=6),
to_ConvRelu("conv17", 28, 28,6, offset="(3,0,0)", to="(input-east)", height=28, depth=28, width=6,caption='conv1'),
to_connection( "input", "conv17"),
to_Pool("pool1", 14, 14,6,offset="(0,0,0)", to="(conv17-east)",height=14, depth=14, width=6,caption="AvgPool"),
to_ConvRelu("conv2", 10, 10,8, offset="(2,0,0)", to="(pool1-east)", height=10, depth=10, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool27", 5, 5,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=5, width=8,caption="AvgPool"),
# LSTM 模块
to_Conv("input7", 1, 200,1, offset="(5,0,0)", to="(pool27-east)", height=2.5, depth=100, width=2.5,caption='frame1'),
to_Cascade("node17", 1, 16,1, offset="(6,0,0)", to="(input7-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node27", 1, 16,1, offset="(3,0,0)", to="(node17-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node37", 1, 16,1, offset="(3,0,0)", to="(node27-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool27", "input7"),
to_connection( "input7", "node17"),
to_connection( "node17", "node27"),
to_connection( "node27", "node37"),
to_transNode("transNode12", offset="(0,4,0)", to="(node17-south)"),
to_transNode("transNode22", offset="(0,4,0)", to="(node27-south)"),
to_transNode("transNode32", offset="(0,4,0)", to="(node37-south)"),
to_connection( "transNode12", "node17","south","north"),
to_connection( "transNode22", "node27","south","north"),
to_connection( "transNode32", "node37","south","north"),
# # 省略号
# to_ellipsis( "conv12", "conv17"),
# 全连接层
to_SoftMax("softMax", 1 ,2,1, offset="(3,0,0)", to="(node37-east)", height=2, depth=4, width=2, caption="SoftMax" ),
to_connection( "node37", "softMax"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net28\\Net28.tex' )
# end draw_Net28
def draw_Net29():
arch = [
to_head( '..' ),
to_cor(),
to_begin(),
# 第一帧
# CNN 模块
to_Conv("input", 32, 96,3, offset="(0,0,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool31", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# LSTM 模块
to_Conv("input1", 1, 64,1, offset="(5,0,0)", to="(pool31-east)", height=2.5, depth=64, width=2.5,caption='frame1'),
to_Cascade("node11", 1, 8,1, offset="(6,0,0)", to="(input1-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node21", 1, 8,1, offset="(3,0,0)", to="(node11-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node31", 1, 8,1, offset="(3,0,0)", to="(node21-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool31", "input1"),
to_connection( "input1", "node11"),
to_connection( "node11", "node21"),
to_connection( "node21", "node31"),
# 第二帧
to_Conv("input", 32, 96,3, offset="(0,15,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool32", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# LSTM 模块
to_Conv("input2", 1, 64,1, offset="(5,0,0)", to="(pool32-east)", height=2.5, depth=64, width=2.5,caption='frame2'),
to_Cascade("node12", 1, 8,1, offset="(6,0,0)", to="(input2-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node22", 1, 8,1, offset="(3,0,0)", to="(node12-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node32", 1, 8,1, offset="(3,0,0)", to="(node22-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool32", "input2"),
to_connection( "input2", "node12"),
to_connection( "node12", "node22"),
to_connection( "node22", "node32"),
# 第三帧
to_Conv("input", 32, 96,3, offset="(0,30,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool33", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# LSTM 模块
to_Conv("input3", 1, 64,1, offset="(5,0,0)", to="(pool33-east)", height=2.5, depth=64, width=2.5,caption='frame3'),
to_Cascade("node13", 1, 8,1, offset="(6,0,0)", to="(input3-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node23", 1, 8,1, offset="(3,0,0)", to="(node13-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node33", 1, 8,1, offset="(3,0,0)", to="(node23-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool33", "input3"),
to_connection( "input3", "node13"),
to_connection( "node13", "node23"),
to_connection( "node23", "node33"),
# 第四帧
to_Conv("input", 32, 96,3, offset="(0,45,0)", to="(0,0,0)", height=32, depth=96, width=3,caption='input'),
to_input( 'eeg.jpg', to='(input-east)', width=18, height=6),
to_ConvRelu("conv1", 28, 82,6, offset="(3,0,0)", to="(input-east)", height=28, depth=82, width=6,caption='conv1'),
to_connection( "input", "conv1"),
to_Pool("pool1", 14, 40,6,offset="(0,0,0)", to="(conv1-east)",height=14, depth=40, width=6,caption="MaxPool"),
to_ConvRelu("conv2", 10, 26,8, offset="(3,0,0)", to="(pool1-east)", height=10, depth=26, width=8,caption='conv2'),
to_connection( "pool1", "conv2"),
to_Pool("pool2", 5, 12,8,offset="(0,0,0)", to="(conv2-east)",height=5, depth=12, width=8,caption="MaxPool"),
to_ConvRelu("conv3", 5, 12,8, offset="(2,0,0)", to="(pool2-east)", height=5, depth=12, width=8,caption='conv3'),
to_connection( "pool2", "conv3"),
to_Pool("pool34", 2, 4,8,offset="(0,0,0)", to="(conv3-east)",height=2, depth=4, width=8,caption="MaxPool"),
# LSTM 模块
to_Conv("input4", 1, 64,1, offset="(5,0,0)", to="(pool34-east)", height=2.5, depth=64, width=2.5,caption='frame4'),
to_Cascade("node14", 1, 8,1, offset="(6,0,0)", to="(input4-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node24", 1, 8,1, offset="(3,0,0)", to="(node14-east)", height=2.5, depth=8, width=2.5,caption=''),
to_Cascade("node34", 1, 8,1, offset="(3,0,0)", to="(node24-east)", height=2.5, depth=8, width=2.5,caption=''),
to_connection( "pool34", "input4"),
to_connection( "input4", "node14"),
to_connection( "node14", "node24"),
to_connection( "node24", "node34"),
# 全连接层
to_Sum( "sum", offset="(12,7,0)", to="(node32-east)", radius=2.5, opacity=0.6),
to_connection( "node31", "sum"),
to_connection( "node32", "sum"),
to_connection( "node33", "sum"),
to_connection( "node34", "sum"),
to_Cascade("cascade", 1, 32,1, offset="(5,0,0)", to="(sum-east)", height=2.5, depth=32, width=2.5,caption='cascade'),
to_connection( "sum", "cascade"),
to_FcRelu_fine("fc", 1, 8,1, offset="(3,0,0)", to="(cascade-east)", height=2.5, depth=12, width=2.5,caption='fc'),
to_connection( "cascade", "fc"),
to_SoftMax("softMax", 1 ,2,1, offset="(3,0,0)", to="(fc-east)", height=2, depth=4, width=2, caption="SoftMax" ),
to_connection( "fc", "softMax"),
to_end()
]
to_generate(arch, os.getcwd()+'\\draw_houyi\\Net29\\Net29.tex' )
# end draw_Net29
# 四分类
# draw_Net4()
# draw_Net42()
# draw_Net45()
# draw_Net46()
# draw_Net47()
# draw_Net48()
# draw_Net49()
# 二分类
# draw_Net2()
# draw_Net22()
# draw_Net23()
draw_Net24()
# draw_Net25()
# draw_Net26()
# draw_Net27()
# draw_Net28()
# draw_Net29() | 55.737231 | 128 | 0.561402 | 12,084 | 82,937 | 3.764399 | 0.016551 | 0.023962 | 0.033854 | 0.049243 | 0.980127 | 0.979951 | 0.978324 | 0.978105 | 0.977027 | 0.976434 | 0 | 0.121333 | 0.193677 | 82,937 | 1,488 | 129 | 55.737231 | 0.558887 | 0.012829 | 0 | 0.923445 | 0 | 0 | 0.254462 | 0.006851 | 0 | 0 | 0 | 0 | 0 | 1 | 0.015311 | false | 0 | 0.001914 | 0 | 0.017225 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0532def29693a0dcda250cd631084f832733dc68 | 5,056 | py | Python | test/pyaz/ams/streaming_endpoint/__init__.py | bigdatamoore/py-az-cli | 54383a4ee7cc77556f6183e74e992eec95b28e01 | [
"MIT"
] | null | null | null | test/pyaz/ams/streaming_endpoint/__init__.py | bigdatamoore/py-az-cli | 54383a4ee7cc77556f6183e74e992eec95b28e01 | [
"MIT"
] | 9 | 2021-09-24T16:37:24.000Z | 2021-12-24T00:39:19.000Z | test/pyaz/ams/streaming_endpoint/__init__.py | bigdatamoore/py-az-cli | 54383a4ee7cc77556f6183e74e992eec95b28e01 | [
"MIT"
] | null | null | null | import json, subprocess
from ... pyaz_utils import get_cli_name, get_params
def list(resource_group, account_name):
params = get_params(locals())
command = "az ams streaming-endpoint list " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def start(resource_group, account_name, name, no_wait=None):
params = get_params(locals())
command = "az ams streaming-endpoint start " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def stop(resource_group, account_name, name, no_wait=None):
params = get_params(locals())
command = "az ams streaming-endpoint stop " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def create(resource_group, account_name, name, scale_units, auto_start=None, tags=None, cross_domain_policy=None, ips=None, description=None, availability_set_name=None, max_cache_age=None, cdn_provider=None, cdn_profile=None, custom_host_names=None, client_access_policy=None, no_wait=None):
params = get_params(locals())
command = "az ams streaming-endpoint create " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def scale(resource_group, account_name, name, scale_units):
params = get_params(locals())
command = "az ams streaming-endpoint scale " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def update(resource_group, account_name, name, tags=None, cross_domain_policy=None, client_access_policy=None, description=None, max_cache_age=None, ips=None, disable_cdn=None, cdn_provider=None, cdn_profile=None, custom_host_names=None, set=None, add=None, remove=None, force_string=None, no_wait=None):
params = get_params(locals())
command = "az ams streaming-endpoint update " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def show(resource_group, account_name, name):
params = get_params(locals())
command = "az ams streaming-endpoint show " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def delete(resource_group, account_name, name):
params = get_params(locals())
command = "az ams streaming-endpoint delete " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
def wait(resource_group, account_name, name, timeout=None, interval=None, deleted=None, created=None, updated=None, exists=None, custom=None):
params = get_params(locals())
command = "az ams streaming-endpoint wait " + params
print(command)
output = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout = output.stdout.decode("utf-8")
stderr = output.stderr.decode("utf-8")
if stdout:
return json.loads(stdout)
print(stdout)
else:
raise Exception(stderr)
print(stderr)
| 38.892308 | 304 | 0.681566 | 638 | 5,056 | 5.304075 | 0.125392 | 0.074468 | 0.053191 | 0.06383 | 0.894208 | 0.855792 | 0.838652 | 0.816194 | 0.816194 | 0.801418 | 0 | 0.004469 | 0.203323 | 5,056 | 129 | 305 | 39.193798 | 0.83565 | 0 | 0 | 0.831933 | 0 | 0 | 0.074565 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07563 | false | 0 | 0.016807 | 0 | 0.168067 | 0.226891 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
0578bc4a7ebe2fba03e3973a4a58f6e5f6b53d28 | 6,407 | py | Python | loldib/getratings/models/NA/na_jayce/na_jayce_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_jayce/na_jayce_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | loldib/getratings/models/NA/na_jayce/na_jayce_mid.py | koliupy/loldib | c9ab94deb07213cdc42b5a7c26467cdafaf81b7f | [
"Apache-2.0"
] | null | null | null | from getratings.models.ratings import Ratings
class NA_Jayce_Mid_Aatrox(Ratings):
pass
class NA_Jayce_Mid_Ahri(Ratings):
pass
class NA_Jayce_Mid_Akali(Ratings):
pass
class NA_Jayce_Mid_Alistar(Ratings):
pass
class NA_Jayce_Mid_Amumu(Ratings):
pass
class NA_Jayce_Mid_Anivia(Ratings):
pass
class NA_Jayce_Mid_Annie(Ratings):
pass
class NA_Jayce_Mid_Ashe(Ratings):
pass
class NA_Jayce_Mid_AurelionSol(Ratings):
pass
class NA_Jayce_Mid_Azir(Ratings):
pass
class NA_Jayce_Mid_Bard(Ratings):
pass
class NA_Jayce_Mid_Blitzcrank(Ratings):
pass
class NA_Jayce_Mid_Brand(Ratings):
pass
class NA_Jayce_Mid_Braum(Ratings):
pass
class NA_Jayce_Mid_Caitlyn(Ratings):
pass
class NA_Jayce_Mid_Camille(Ratings):
pass
class NA_Jayce_Mid_Cassiopeia(Ratings):
pass
class NA_Jayce_Mid_Chogath(Ratings):
pass
class NA_Jayce_Mid_Corki(Ratings):
pass
class NA_Jayce_Mid_Darius(Ratings):
pass
class NA_Jayce_Mid_Diana(Ratings):
pass
class NA_Jayce_Mid_Draven(Ratings):
pass
class NA_Jayce_Mid_DrMundo(Ratings):
pass
class NA_Jayce_Mid_Ekko(Ratings):
pass
class NA_Jayce_Mid_Elise(Ratings):
pass
class NA_Jayce_Mid_Evelynn(Ratings):
pass
class NA_Jayce_Mid_Ezreal(Ratings):
pass
class NA_Jayce_Mid_Fiddlesticks(Ratings):
pass
class NA_Jayce_Mid_Fiora(Ratings):
pass
class NA_Jayce_Mid_Fizz(Ratings):
pass
class NA_Jayce_Mid_Galio(Ratings):
pass
class NA_Jayce_Mid_Gangplank(Ratings):
pass
class NA_Jayce_Mid_Garen(Ratings):
pass
class NA_Jayce_Mid_Gnar(Ratings):
pass
class NA_Jayce_Mid_Gragas(Ratings):
pass
class NA_Jayce_Mid_Graves(Ratings):
pass
class NA_Jayce_Mid_Hecarim(Ratings):
pass
class NA_Jayce_Mid_Heimerdinger(Ratings):
pass
class NA_Jayce_Mid_Illaoi(Ratings):
pass
class NA_Jayce_Mid_Irelia(Ratings):
pass
class NA_Jayce_Mid_Ivern(Ratings):
pass
class NA_Jayce_Mid_Janna(Ratings):
pass
class NA_Jayce_Mid_JarvanIV(Ratings):
pass
class NA_Jayce_Mid_Jax(Ratings):
pass
class NA_Jayce_Mid_Jayce(Ratings):
pass
class NA_Jayce_Mid_Jhin(Ratings):
pass
class NA_Jayce_Mid_Jinx(Ratings):
pass
class NA_Jayce_Mid_Kalista(Ratings):
pass
class NA_Jayce_Mid_Karma(Ratings):
pass
class NA_Jayce_Mid_Karthus(Ratings):
pass
class NA_Jayce_Mid_Kassadin(Ratings):
pass
class NA_Jayce_Mid_Katarina(Ratings):
pass
class NA_Jayce_Mid_Kayle(Ratings):
pass
class NA_Jayce_Mid_Kayn(Ratings):
pass
class NA_Jayce_Mid_Kennen(Ratings):
pass
class NA_Jayce_Mid_Khazix(Ratings):
pass
class NA_Jayce_Mid_Kindred(Ratings):
pass
class NA_Jayce_Mid_Kled(Ratings):
pass
class NA_Jayce_Mid_KogMaw(Ratings):
pass
class NA_Jayce_Mid_Leblanc(Ratings):
pass
class NA_Jayce_Mid_LeeSin(Ratings):
pass
class NA_Jayce_Mid_Leona(Ratings):
pass
class NA_Jayce_Mid_Lissandra(Ratings):
pass
class NA_Jayce_Mid_Lucian(Ratings):
pass
class NA_Jayce_Mid_Lulu(Ratings):
pass
class NA_Jayce_Mid_Lux(Ratings):
pass
class NA_Jayce_Mid_Malphite(Ratings):
pass
class NA_Jayce_Mid_Malzahar(Ratings):
pass
class NA_Jayce_Mid_Maokai(Ratings):
pass
class NA_Jayce_Mid_MasterYi(Ratings):
pass
class NA_Jayce_Mid_MissFortune(Ratings):
pass
class NA_Jayce_Mid_MonkeyKing(Ratings):
pass
class NA_Jayce_Mid_Mordekaiser(Ratings):
pass
class NA_Jayce_Mid_Morgana(Ratings):
pass
class NA_Jayce_Mid_Nami(Ratings):
pass
class NA_Jayce_Mid_Nasus(Ratings):
pass
class NA_Jayce_Mid_Nautilus(Ratings):
pass
class NA_Jayce_Mid_Nidalee(Ratings):
pass
class NA_Jayce_Mid_Nocturne(Ratings):
pass
class NA_Jayce_Mid_Nunu(Ratings):
pass
class NA_Jayce_Mid_Olaf(Ratings):
pass
class NA_Jayce_Mid_Orianna(Ratings):
pass
class NA_Jayce_Mid_Ornn(Ratings):
pass
class NA_Jayce_Mid_Pantheon(Ratings):
pass
class NA_Jayce_Mid_Poppy(Ratings):
pass
class NA_Jayce_Mid_Quinn(Ratings):
pass
class NA_Jayce_Mid_Rakan(Ratings):
pass
class NA_Jayce_Mid_Rammus(Ratings):
pass
class NA_Jayce_Mid_RekSai(Ratings):
pass
class NA_Jayce_Mid_Renekton(Ratings):
pass
class NA_Jayce_Mid_Rengar(Ratings):
pass
class NA_Jayce_Mid_Riven(Ratings):
pass
class NA_Jayce_Mid_Rumble(Ratings):
pass
class NA_Jayce_Mid_Ryze(Ratings):
pass
class NA_Jayce_Mid_Sejuani(Ratings):
pass
class NA_Jayce_Mid_Shaco(Ratings):
pass
class NA_Jayce_Mid_Shen(Ratings):
pass
class NA_Jayce_Mid_Shyvana(Ratings):
pass
class NA_Jayce_Mid_Singed(Ratings):
pass
class NA_Jayce_Mid_Sion(Ratings):
pass
class NA_Jayce_Mid_Sivir(Ratings):
pass
class NA_Jayce_Mid_Skarner(Ratings):
pass
class NA_Jayce_Mid_Sona(Ratings):
pass
class NA_Jayce_Mid_Soraka(Ratings):
pass
class NA_Jayce_Mid_Swain(Ratings):
pass
class NA_Jayce_Mid_Syndra(Ratings):
pass
class NA_Jayce_Mid_TahmKench(Ratings):
pass
class NA_Jayce_Mid_Taliyah(Ratings):
pass
class NA_Jayce_Mid_Talon(Ratings):
pass
class NA_Jayce_Mid_Taric(Ratings):
pass
class NA_Jayce_Mid_Teemo(Ratings):
pass
class NA_Jayce_Mid_Thresh(Ratings):
pass
class NA_Jayce_Mid_Tristana(Ratings):
pass
class NA_Jayce_Mid_Trundle(Ratings):
pass
class NA_Jayce_Mid_Tryndamere(Ratings):
pass
class NA_Jayce_Mid_TwistedFate(Ratings):
pass
class NA_Jayce_Mid_Twitch(Ratings):
pass
class NA_Jayce_Mid_Udyr(Ratings):
pass
class NA_Jayce_Mid_Urgot(Ratings):
pass
class NA_Jayce_Mid_Varus(Ratings):
pass
class NA_Jayce_Mid_Vayne(Ratings):
pass
class NA_Jayce_Mid_Veigar(Ratings):
pass
class NA_Jayce_Mid_Velkoz(Ratings):
pass
class NA_Jayce_Mid_Vi(Ratings):
pass
class NA_Jayce_Mid_Viktor(Ratings):
pass
class NA_Jayce_Mid_Vladimir(Ratings):
pass
class NA_Jayce_Mid_Volibear(Ratings):
pass
class NA_Jayce_Mid_Warwick(Ratings):
pass
class NA_Jayce_Mid_Xayah(Ratings):
pass
class NA_Jayce_Mid_Xerath(Ratings):
pass
class NA_Jayce_Mid_XinZhao(Ratings):
pass
class NA_Jayce_Mid_Yasuo(Ratings):
pass
class NA_Jayce_Mid_Yorick(Ratings):
pass
class NA_Jayce_Mid_Zac(Ratings):
pass
class NA_Jayce_Mid_Zed(Ratings):
pass
class NA_Jayce_Mid_Ziggs(Ratings):
pass
class NA_Jayce_Mid_Zilean(Ratings):
pass
class NA_Jayce_Mid_Zyra(Ratings):
pass
| 15.364508 | 46 | 0.761667 | 972 | 6,407 | 4.59465 | 0.151235 | 0.216301 | 0.370802 | 0.463502 | 0.797582 | 0.797582 | 0 | 0 | 0 | 0 | 0 | 0 | 0.173404 | 6,407 | 416 | 47 | 15.401442 | 0.843278 | 0 | 0 | 0.498195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.498195 | 0.00361 | 0 | 0.501805 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
058d43babbc84813f62f789367c312938bd733b8 | 3,477 | py | Python | pyaz/cosmosdb/private_endpoint_connection/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | null | null | null | pyaz/cosmosdb/private_endpoint_connection/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | null | null | null | pyaz/cosmosdb/private_endpoint_connection/__init__.py | py-az-cli/py-az-cli | 9a7dc44e360c096a5a2f15595353e9dad88a9792 | [
"MIT"
] | 1 | 2022-02-03T09:12:01.000Z | 2022-02-03T09:12:01.000Z | from ... pyaz_utils import _call_az
def approve(account_name=None, description=None, id=None, name=None, resource_group=None):
'''
Approve the specified private endpoint connection associated with Azure Cosmos DB.
Optional Parameters:
- account_name -- Name of the Cosmos DB database account. Required if --connection-id is not specified
- description -- Comments for the approve operation.
- id -- The ID of the private endpoint connection associated with Azure Cosmos DB. If specified --account-name --resource-group/-g and --name/-n, this should be omitted.
- name -- The name of the private endpoint connection associated with Azure Cosmos DB. Required if --connection-id is not specified
- resource_group -- The resource group name of specified Cosmos DB account. Required if --connection-id is not specified
'''
return _call_az("az cosmosdb private-endpoint-connection approve", locals())
def reject(account_name=None, description=None, id=None, name=None, resource_group=None):
'''
Reject the specified private endpoint connection associated with Azure Cosmos DB.
Optional Parameters:
- account_name -- Name of the Cosmos DB database account. Required if --connection-id is not specified
- description -- Comments for the reject operation.
- id -- The ID of the private endpoint connection associated with Azure Cosmos DB. If specified --account-name --resource-group/-g and --name/-n, this should be omitted.
- name -- The name of the private endpoint connection associated with Azure Cosmos DB. Required if --connection-id is not specified
- resource_group -- The resource group name of specified Cosmos DB account. Required if --connection-id is not specified
'''
return _call_az("az cosmosdb private-endpoint-connection reject", locals())
def delete(account_name=None, id=None, name=None, resource_group=None):
'''
Delete the specified private endpoint connection associated with Azure Cosmos DB.
Optional Parameters:
- account_name -- Name of the Cosmos DB database account. Required if --connection-id is not specified
- id -- The ID of the private endpoint connection associated with Azure Cosmos DB. If specified --account-name --resource-group/-g and --name/-n, this should be omitted.
- name -- The name of the private endpoint connection associated with Azure Cosmos DB. Required if --connection-id is not specified
- resource_group -- The resource group name of specified Cosmos DB account. Required if --connection-id is not specified
'''
return _call_az("az cosmosdb private-endpoint-connection delete", locals())
def show(account_name=None, id=None, name=None, resource_group=None):
'''
Show details of a private endpoint connection associated with Azure Cosmos DB.
Optional Parameters:
- account_name -- Name of the Cosmos DB database account. Required if --connection-id is not specified
- id -- The ID of the private endpoint connection associated with Azure Cosmos DB. If specified --account-name --resource-group/-g and --name/-n, this should be omitted.
- name -- The name of the private endpoint connection associated with Azure Cosmos DB. Required if --connection-id is not specified
- resource_group -- The resource group name of specified Cosmos DB account. Required if --connection-id is not specified
'''
return _call_az("az cosmosdb private-endpoint-connection show", locals())
| 62.089286 | 173 | 0.743745 | 487 | 3,477 | 5.25462 | 0.104723 | 0.062524 | 0.156311 | 0.164127 | 0.940211 | 0.940211 | 0.940211 | 0.940211 | 0.940211 | 0.940211 | 0 | 0 | 0.176014 | 3,477 | 55 | 174 | 63.218182 | 0.893194 | 0.754098 | 0 | 0 | 0 | 0 | 0.259574 | 0.153191 | 0 | 0 | 0 | 0 | 0 | 1 | 0.444444 | false | 0 | 0.111111 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 9 |
55545b5853e9983dd1c85c8c304edbc57d532c38 | 66,148 | py | Python | lib/turkish_nltk/trnltk/morphology/morphotactics/predefinedpaths.py | myasiny/wordembed | d4df516a4ac6eed71d1cc6e085638e895c525de6 | [
"MIT"
] | null | null | null | lib/turkish_nltk/trnltk/morphology/morphotactics/predefinedpaths.py | myasiny/wordembed | d4df516a4ac6eed71d1cc6e085638e895c525de6 | [
"MIT"
] | null | null | null | lib/turkish_nltk/trnltk/morphology/morphotactics/predefinedpaths.py | myasiny/wordembed | d4df516a4ac6eed71d1cc6e085638e895c525de6 | [
"MIT"
] | null | null | null | # coding=utf-8
"""
Copyright 2012 Ali Ok (aliokATapacheDOTorg)
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.
"""
from trnltk.morphology.model.lexeme import SecondarySyntacticCategory, SyntacticCategory
from trnltk.morphology.contextless.parser.suffixapplier import *
from trnltk.morphology.model.morpheme import SuffixForm
from trnltk.morphology.model.morphemecontainer import MorphemeContainer
class PredefinedPaths(object):
def __init__(self, root_map, suffix_graph):
self._root_map = root_map
self._suffix_graph = suffix_graph
self._morpheme_container_map = {}
def _find_root(self, root_str, syntactic_category, secondary_syntactic_category):
if self._root_map.has_key(root_str):
roots_for_root_str = self._root_map[root_str]
for root in roots_for_root_str:
if root.lexeme.syntactic_category == syntactic_category and root.lexeme.secondary_syntactic_category == secondary_syntactic_category:
return root
raise Exception(u'Unable to find _root {}+{}+{}'.format(root_str, syntactic_category, secondary_syntactic_category))
def _add_transition(self, morpheme_container, suffix_form_application_str, suffix, to_state, whole_word):
suffix_form = SuffixForm(suffix_form_application_str)
suffix_form.suffix = suffix
new_morpheme_container = try_suffix_form(morpheme_container, suffix_form, to_state, whole_word)
if not new_morpheme_container:
raise Exception('Unable to add transition {} {} {} {} {}'.format(morpheme_container, suffix_form_application_str, suffix, to_state, whole_word))
return new_morpheme_container
def _find_to_state(self, state, suffix):
for (out_suffix, out_state) in state.outputs:
if out_suffix == suffix:
return out_state
return None
def _discover_intermediate_state_and_suffix(self, state, suffix):
# go only one level
found_state = None
found_suffix = None
for (out_suffix, out_state) in state.outputs:
for (deep_out_suffix, deep_out_state) in out_state.outputs:
if deep_out_suffix == suffix:
if found_state:
raise Exception(u'Output state not found for {} {}. Tried states that are accessible, but found two states :{}, {}'.format(state, suffix, found_state, deep_out_state))
else:
found_state = out_state
found_suffix = out_suffix
return found_state, found_suffix
def _follow_path(self, root, path_edges):
morpheme_container = MorphemeContainer(root, self._suffix_graph.get_default_root_state(root), u'')
for path_edge in path_edges:
suffix = None
suffix_form_application_str = None
if isinstance(path_edge, tuple):
suffix = path_edge[0]
suffix_form_application_str = path_edge[1] if len(path_edge) > 1 else u''
else:
suffix = path_edge
suffix_form_application_str = u''
surface_so_far = morpheme_container.get_surface_so_far()
path_result = surface_so_far + suffix_form_application_str
to_state = self._find_to_state(morpheme_container.get_last_state(), suffix)
if not to_state:
intermediate_state, intermediate_suffix = self._discover_intermediate_state_and_suffix(morpheme_container.get_last_state(), suffix)
if not intermediate_state:
raise Exception(u'Also tried to discover intermediate states, but unable to find output state for {} {}'.format(to_state, suffix))
morpheme_container = self._add_transition(morpheme_container, u'', intermediate_suffix, intermediate_state, surface_so_far)
to_state = self._find_to_state(morpheme_container.get_last_state(), suffix)
if not to_state:
raise Exception(u'Unable to find output state which has been suggested by intermediate state before, for {} {}'.format(to_state, suffix))
morpheme_container = self._add_transition(morpheme_container, suffix_form_application_str, suffix, to_state, path_result)
else:
morpheme_container = self._add_transition(morpheme_container, suffix_form_application_str, suffix, to_state, path_result)
return morpheme_container
def _add_morpheme_container(self, root, path_tuples):
morpheme_container = self._follow_path(root, path_tuples)
if not self._morpheme_container_map.has_key(root):
self._morpheme_container_map[root] = []
self._morpheme_container_map[root].append(morpheme_container)
def has_paths(self, lexeme):
if not self._morpheme_container_map:
raise Exception(u"Predefined paths are not yet created. Maybe you forgot to run 'create_predefined_paths' ?")
return self._morpheme_container_map.has_key(lexeme)
def get_paths(self, lexeme):
if not self._morpheme_container_map:
raise Exception("Predefined paths are not yet created. Maybe you forgot to run 'create_predefined_paths' ?")
return self._morpheme_container_map[lexeme]
def create_predefined_paths(self):
self._create_predefined_path_of_di()
self._create_predefined_path_of_yi()
self._create_predefined_path_of_ben()
self._create_predefined_path_of_sen()
self._create_predefined_path_of_o_pron_pers()
self._create_predefined_path_of_biz()
self._create_predefined_path_of_siz()
self._create_predefined_path_of_onlar_pron_pers()
self._create_predefined_path_of_bu_pron_demons()
self._create_predefined_path_of_su_pron_demons()
self._create_predefined_path_of_o_pron_demons()
self._create_predefined_path_of_bunlar_pron_demons()
self._create_predefined_path_of_sunlar_pron_demons()
self._create_predefined_path_of_onlar_pron_demons()
self._create_predefined_path_of_kendi()
self._create_predefined_path_of_hepsi()
self._create_predefined_path_of_herkes()
self._create_predefined_path_of_question_particles()
self._create_predefined_path_of_ne()
self._create_predefined_path_of_ora_bura_sura_nere()
self._create_predefined_path_of_iceri_disari()
self._create_predefined_path_of_bazilari_bazisi()
self._create_predefined_path_of_kimileri_kimisi_kimi()
self._create_predefined_path_of_birileri_birisi_biri()
self._create_predefined_path_of_hicbirisi_hicbiri()
self._create_predefined_path_of_birbiri()
self._create_predefined_path_of_cogu_bircogu_coklari_bircoklari()
self._create_predefined_path_of_birkaci()
self._create_predefined_path_of_cumlesi()
self._create_predefined_path_of_digeri_digerleri()
def _create_predefined_path_of_di(self):
root_di = self._find_root(u'di', SyntacticCategory.VERB, None)
Positive = self._suffix_graph.get_suffix(u'Pos')
Negative = self._suffix_graph.get_suffix(u'Neg')
self._add_morpheme_container(root_di, [Positive, (self._suffix_graph.get_suffix(u'Fut'), u'yecek')])
self._add_morpheme_container(root_di, [Positive, (self._suffix_graph.get_suffix(u'Fut'), u'yeceğ')])
self._add_morpheme_container(root_di, [Positive, (self._suffix_graph.get_suffix(u'Future_to_Adj'), u'yecek')])
self._add_morpheme_container(root_di, [Positive, (self._suffix_graph.get_suffix(u'Future_to_Adj'), u'yeceğ')])
self._add_morpheme_container(root_di, [Positive, (self._suffix_graph.get_suffix(u'FutPart_Noun'), u'yecek')])
self._add_morpheme_container(root_di, [Positive, (self._suffix_graph.get_suffix(u'FutPart_Noun'), u'yeceğ')])
self._add_morpheme_container(root_di, [Positive, (self._suffix_graph.get_suffix(u'FutPart_Adj'), u'yecek')])
self._add_morpheme_container(root_di, [Positive, (self._suffix_graph.get_suffix(u'FutPart_Adj'), u'yeceğ')])
self._add_morpheme_container(root_di, [Positive, (self._suffix_graph.get_suffix(u'Prog'), u'yor')])
self._add_morpheme_container(root_di, [Positive, (self._suffix_graph.get_suffix(u'PresPart'), u'yen')])
self._add_morpheme_container(root_di, [(self._suffix_graph.get_suffix(u'Able'), u'yebil'), Positive])
self._add_morpheme_container(root_di, [(self._suffix_graph.get_suffix(u'Able'), u'ye'), (Negative, "me")])
self._add_morpheme_container(root_di, [Positive, (self._suffix_graph.get_suffix(u'Opt'), u'ye')])
self._add_morpheme_container(root_di, [Positive, (self._suffix_graph.get_suffix(u'ByDoingSo'), u'yerek')])
def _create_predefined_path_of_yi(self):
root_yi = self._find_root(u'yi', SyntacticCategory.VERB, None)
Positive = self._suffix_graph.get_suffix(u'Pos')
Negative = self._suffix_graph.get_suffix(u'Neg')
self._add_morpheme_container(root_yi, [Positive, (self._suffix_graph.get_suffix(u'Fut'), u'yecek')])
self._add_morpheme_container(root_yi, [Positive, (self._suffix_graph.get_suffix(u'Fut'), u'yeceğ')])
self._add_morpheme_container(root_yi, [Positive, (self._suffix_graph.get_suffix(u'Future_to_Adj'), u'yecek')])
self._add_morpheme_container(root_yi, [Positive, (self._suffix_graph.get_suffix(u'Future_to_Adj'), u'yeceğ')])
self._add_morpheme_container(root_yi, [Positive, (self._suffix_graph.get_suffix(u'FutPart_Noun'), u'yecek')])
self._add_morpheme_container(root_yi, [Positive, (self._suffix_graph.get_suffix(u'FutPart_Noun'), u'yeceğ')])
self._add_morpheme_container(root_yi, [Positive, (self._suffix_graph.get_suffix(u'FutPart_Adj'), u'yecek')])
self._add_morpheme_container(root_yi, [Positive, (self._suffix_graph.get_suffix(u'FutPart_Adj'), u'yeceğ')])
self._add_morpheme_container(root_yi, [Positive, (self._suffix_graph.get_suffix(u'Prog'), u'yor')])
self._add_morpheme_container(root_yi, [Positive, (self._suffix_graph.get_suffix(u'PresPart'), u'yen')])
self._add_morpheme_container(root_yi, [(self._suffix_graph.get_suffix(u'Able'), u'yebil'), Positive])
self._add_morpheme_container(root_yi, [(self._suffix_graph.get_suffix(u'Able'), u'ye'), (Negative, "me")])
self._add_morpheme_container(root_yi, [Positive, (self._suffix_graph.get_suffix(u'Opt'), u'ye')])
self._add_morpheme_container(root_yi, [Positive, (self._suffix_graph.get_suffix(u'ByDoingSo'), u'yerek')])
# different from "demek"
self._add_morpheme_container(root_yi, [Positive, (self._suffix_graph.get_suffix(u'AfterDoingSo'), u'yip')])
def _create_predefined_path_of_ben(self):
root_ben = self._find_root(u'ben', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.PERSONAL)
root_ban = self._find_root(u'ban', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.PERSONAL)
A1Sg_Pron = self._suffix_graph.get_suffix(u'A1Sg_Pron')
Pnon_Pron = self._suffix_graph.get_suffix(u'Pnon_Pron')
self._add_morpheme_container(root_ben, [A1Sg_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_ben, [A1Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_ban, [A1Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'a')])
self._add_morpheme_container(root_ben, [A1Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_ben, [A1Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_ben, [A1Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_ben, [A1Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'imle')])
self._add_morpheme_container(root_ben, [A1Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'im')])
self._add_morpheme_container(root_ben, [A1Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'AccordingTo'), u'ce')])
self._add_morpheme_container(root_ben, [A1Sg_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_sen(self):
root_sen = self._find_root(u'sen', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.PERSONAL)
root_san = self._find_root(u'san', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.PERSONAL)
A2Sg_Pron = self._suffix_graph.get_suffix(u'A2Sg_Pron')
Pnon_Pron = self._suffix_graph.get_suffix(u'Pnon_Pron')
self._add_morpheme_container(root_sen, [A2Sg_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_sen, [A2Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_san, [A2Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'a')])
self._add_morpheme_container(root_sen, [A2Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_sen, [A2Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_sen, [A2Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_sen, [A2Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'inle')])
self._add_morpheme_container(root_sen, [A2Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'in')])
self._add_morpheme_container(root_sen, [A2Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'AccordingTo'), u'ce')])
self._add_morpheme_container(root_sen, [A2Sg_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_o_pron_pers(self):
root_o = self._find_root(u'o', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.PERSONAL)
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
Pnon_Pron = self._suffix_graph.get_suffix(u'Pnon_Pron')
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'nu')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'na')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'nda')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'ndan')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'nla')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'nunla')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'nun')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'AccordingTo'), u'nca')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_biz(self):
root_biz = self._find_root(u'biz', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.PERSONAL)
A1Pl_Pron = self._suffix_graph.get_suffix(u'A1Pl_Pron')
Pnon_Pron = self._suffix_graph.get_suffix(u'Pnon_Pron')
self._add_morpheme_container(root_biz, [A1Pl_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_biz, [A1Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_biz, [A1Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'e')])
self._add_morpheme_container(root_biz, [A1Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_biz, [A1Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_biz, [A1Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_biz, [A1Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'imle')])
self._add_morpheme_container(root_biz, [A1Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'im')])
self._add_morpheme_container(root_biz, [A1Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'AccordingTo'), u'ce')])
self._add_morpheme_container(root_biz, [A1Pl_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
self._add_morpheme_container(root_biz, [(A1Pl_Pron, u'ler'), Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_biz, [(A1Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_biz, [(A1Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'e')])
self._add_morpheme_container(root_biz, [(A1Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_biz, [(A1Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_biz, [(A1Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_biz, [(A1Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'in')])
self._add_morpheme_container(root_biz, [(A1Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'AccordingTo'), u'ce')])
self._add_morpheme_container(root_biz, [(A1Pl_Pron, u'ler'), Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_siz(self):
root_siz = self._find_root(u'siz', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.PERSONAL)
A2Pl_Pron = self._suffix_graph.get_suffix(u'A2Pl_Pron')
Pnon_Pron = self._suffix_graph.get_suffix(u'Pnon_Pron')
self._add_morpheme_container(root_siz, [A2Pl_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_siz, [A2Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_siz, [A2Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'e')])
self._add_morpheme_container(root_siz, [A2Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_siz, [A2Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_siz, [A2Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_siz, [A2Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'inle')])
self._add_morpheme_container(root_siz, [A2Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'in')])
self._add_morpheme_container(root_siz, [A2Pl_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'AccordingTo'), u'ce')])
self._add_morpheme_container(root_siz, [A2Pl_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
self._add_morpheme_container(root_siz, [(A2Pl_Pron, u'ler'), Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_siz, [(A2Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_siz, [(A2Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'e')])
self._add_morpheme_container(root_siz, [(A2Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_siz, [(A2Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_siz, [(A2Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_siz, [(A2Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'in')])
self._add_morpheme_container(root_siz, [(A2Pl_Pron, u'ler'), Pnon_Pron, (self._suffix_graph.get_suffix(u'AccordingTo'), u'ce')])
self._add_morpheme_container(root_siz, [(A2Pl_Pron, u'ler'), Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_onlar_pron_pers(self):
root_o = self._find_root(u'o', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.PERSONAL)
A3Pl_Pron = self._suffix_graph.get_suffix(u'A3Pl_Pron')
Pnon_Pron = self._suffix_graph.get_suffix(u'Pnon_Pron')
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'ı')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'a')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'da')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'dan')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'la')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'ın')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'AccordingTo'), u'ca')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_bu_pron_demons(self):
root_bu = self._find_root(u'bu', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.DEMONSTRATIVE)
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
Pnon_Pron = self._suffix_graph.get_suffix(u'Pnon_Pron')
self._add_morpheme_container(root_bu, [A3Sg_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_bu, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'nu')])
self._add_morpheme_container(root_bu, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'na')])
self._add_morpheme_container(root_bu, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'nda')])
self._add_morpheme_container(root_bu, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'ndan')])
self._add_morpheme_container(root_bu, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'nla')])
self._add_morpheme_container(root_bu, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'nunla')])
self._add_morpheme_container(root_bu, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'nun')])
self._add_morpheme_container(root_bu, [A3Sg_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_su_pron_demons(self):
root_su = self._find_root(u'şu', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.DEMONSTRATIVE)
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
Pnon_Pron = self._suffix_graph.get_suffix(u'Pnon_Pron')
self._add_morpheme_container(root_su, [A3Sg_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_su, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'nu')])
self._add_morpheme_container(root_su, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'na')])
self._add_morpheme_container(root_su, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'nda')])
self._add_morpheme_container(root_su, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'ndan')])
self._add_morpheme_container(root_su, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'nla')])
self._add_morpheme_container(root_su, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'nunla')])
self._add_morpheme_container(root_su, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'nun')])
self._add_morpheme_container(root_su, [A3Sg_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_o_pron_demons(self):
root_o = self._find_root(u'o', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.DEMONSTRATIVE)
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
Pnon_Pron = self._suffix_graph.get_suffix(u'Pnon_Pron')
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'nu')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'na')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'nda')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'ndan')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'nla')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'nunla')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'nun')])
self._add_morpheme_container(root_o, [A3Sg_Pron, Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_bunlar_pron_demons(self):
root_bu = self._find_root(u'bu', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.DEMONSTRATIVE)
A3Pl_Pron = self._suffix_graph.get_suffix(u'A3Pl_Pron')
Pnon_Pron = self._suffix_graph.get_suffix(u'Pnon_Pron')
self._add_morpheme_container(root_bu, [(A3Pl_Pron, 'nlar'), Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_bu, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'ı')])
self._add_morpheme_container(root_bu, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'a')])
self._add_morpheme_container(root_bu, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'da')])
self._add_morpheme_container(root_bu, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'dan')])
self._add_morpheme_container(root_bu, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'la')])
self._add_morpheme_container(root_bu, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'ın')])
self._add_morpheme_container(root_bu, [(A3Pl_Pron, 'nlar'), Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_sunlar_pron_demons(self):
root_su = self._find_root(u'şu', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.DEMONSTRATIVE)
A3Pl_Pron = self._suffix_graph.get_suffix(u'A3Pl_Pron')
Pnon_Pron = self._suffix_graph.get_suffix(u'Pnon_Pron')
self._add_morpheme_container(root_su, [(A3Pl_Pron, 'nlar'), Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_su, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'ı')])
self._add_morpheme_container(root_su, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'a')])
self._add_morpheme_container(root_su, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'da')])
self._add_morpheme_container(root_su, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'dan')])
self._add_morpheme_container(root_su, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'la')])
self._add_morpheme_container(root_su, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'ın')])
self._add_morpheme_container(root_su, [(A3Pl_Pron, 'nlar'), Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_onlar_pron_demons(self):
root_o = self._find_root(u'o', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.DEMONSTRATIVE)
A3Pl_Pron = self._suffix_graph.get_suffix(u'A3Pl_Pron')
Pnon_Pron = self._suffix_graph.get_suffix(u'Pnon_Pron')
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'ı')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'a')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'da')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'dan')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'la')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'ın')])
self._add_morpheme_container(root_o, [(A3Pl_Pron, 'nlar'), Pnon_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_kendi(self):
root_kendi = self._find_root(u'kendi', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.REFLEXIVE)
A1Sg_Pron = self._suffix_graph.get_suffix(u'A1Sg_Pron')
P1Sg_Pron = self._suffix_graph.get_suffix(u'P1Sg_Pron')
A2Sg_Pron = self._suffix_graph.get_suffix(u'A2Sg_Pron')
P2Sg_Pron = self._suffix_graph.get_suffix(u'P2Sg_Pron')
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
P3Sg_Pron = self._suffix_graph.get_suffix(u'P3Sg_Pron')
A1Pl_Pron = self._suffix_graph.get_suffix(u'A1Pl_Pron')
P1Pl_Pron = self._suffix_graph.get_suffix(u'P1Pl_Pron')
A2Pl_Pron = self._suffix_graph.get_suffix(u'A2Pl_Pron')
P2Pl_Pron = self._suffix_graph.get_suffix(u'P2Pl_Pron')
A3Pl_Pron = self._suffix_graph.get_suffix(u'A3Pl_Pron')
P3Pl_Pron = self._suffix_graph.get_suffix(u'P3Pl_Pron')
##### A1Sg
self._add_morpheme_container(root_kendi, [A1Sg_Pron, (P1Sg_Pron,'m'), self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_kendi, [A1Sg_Pron, (P1Sg_Pron,'m'), (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_kendi, [A1Sg_Pron, (P1Sg_Pron,'m'), (self._suffix_graph.get_suffix(u'Dat_Pron'), u'e')])
self._add_morpheme_container(root_kendi, [A1Sg_Pron, (P1Sg_Pron,'m'), (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_kendi, [A1Sg_Pron, (P1Sg_Pron,'m'), (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_kendi, [A1Sg_Pron, (P1Sg_Pron,'m'), (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_kendi, [A1Sg_Pron, (P1Sg_Pron,'m'), (self._suffix_graph.get_suffix(u'Gen_Pron'), u'in')])
self._add_morpheme_container(root_kendi, [A1Sg_Pron, (P1Sg_Pron,'m'), self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
##### A2Sg
self._add_morpheme_container(root_kendi, [A2Sg_Pron, (P2Sg_Pron,'n'), self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_kendi, [A2Sg_Pron, (P2Sg_Pron,'n'), (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_kendi, [A2Sg_Pron, (P2Sg_Pron,'n'), (self._suffix_graph.get_suffix(u'Dat_Pron'), u'e')])
self._add_morpheme_container(root_kendi, [A2Sg_Pron, (P2Sg_Pron,'n'), (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_kendi, [A2Sg_Pron, (P2Sg_Pron,'n'), (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_kendi, [A2Sg_Pron, (P2Sg_Pron,'n'), (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_kendi, [A2Sg_Pron, (P2Sg_Pron,'n'), (self._suffix_graph.get_suffix(u'Gen_Pron'), u'in')])
self._add_morpheme_container(root_kendi, [A2Sg_Pron, (P2Sg_Pron,'n'), self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
##### A3Sg
self._add_morpheme_container(root_kendi, [A3Sg_Pron, P3Sg_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, P3Sg_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'ni')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, P3Sg_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'ne')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, P3Sg_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'nde')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, P3Sg_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'nden')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, P3Sg_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'yle')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, P3Sg_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'nin')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, P3Sg_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, (P3Sg_Pron,'si'), self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, (P3Sg_Pron,'si'), (self._suffix_graph.get_suffix(u'Acc_Pron'), u'ni')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, (P3Sg_Pron,'si'), (self._suffix_graph.get_suffix(u'Dat_Pron'), u'ne')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, (P3Sg_Pron,'si'), (self._suffix_graph.get_suffix(u'Loc_Pron'), u'nde')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, (P3Sg_Pron,'si'), (self._suffix_graph.get_suffix(u'Abl_Pron'), u'nden')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, (P3Sg_Pron,'si'), (self._suffix_graph.get_suffix(u'Ins_Pron'), u'yle')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, (P3Sg_Pron,'si'), (self._suffix_graph.get_suffix(u'Gen_Pron'), u'nin')])
self._add_morpheme_container(root_kendi, [A3Sg_Pron, (P3Sg_Pron,'si'), self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
##### A1pl
self._add_morpheme_container(root_kendi, [A1Pl_Pron, (P1Pl_Pron,'miz'), self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_kendi, [A1Pl_Pron, (P1Pl_Pron,'miz'), (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_kendi, [A1Pl_Pron, (P1Pl_Pron,'miz'), (self._suffix_graph.get_suffix(u'Dat_Pron'), u'e')])
self._add_morpheme_container(root_kendi, [A1Pl_Pron, (P1Pl_Pron,'miz'), (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_kendi, [A1Pl_Pron, (P1Pl_Pron,'miz'), (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_kendi, [A1Pl_Pron, (P1Pl_Pron,'miz'), (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_kendi, [A1Pl_Pron, (P1Pl_Pron,'miz'), (self._suffix_graph.get_suffix(u'Gen_Pron'), u'in')])
self._add_morpheme_container(root_kendi, [A1Pl_Pron, (P1Pl_Pron,'miz'), self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
self._add_morpheme_container(root_kendi, [(A1Pl_Pron,'ler'), (P1Pl_Pron,'imiz'), self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_kendi, [(A1Pl_Pron,'ler'), (P1Pl_Pron,'imiz'), (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_kendi, [(A1Pl_Pron,'ler'), (P1Pl_Pron,'imiz'), (self._suffix_graph.get_suffix(u'Dat_Pron'), u'e')])
self._add_morpheme_container(root_kendi, [(A1Pl_Pron,'ler'), (P1Pl_Pron,'imiz'), (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_kendi, [(A1Pl_Pron,'ler'), (P1Pl_Pron,'imiz'), (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_kendi, [(A1Pl_Pron,'ler'), (P1Pl_Pron,'imiz'), (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_kendi, [(A1Pl_Pron,'ler'), (P1Pl_Pron,'imiz'), (self._suffix_graph.get_suffix(u'Gen_Pron'), u'in')])
self._add_morpheme_container(root_kendi, [(A1Pl_Pron,'ler'), (P1Pl_Pron,'imiz'), self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
##### A2pl
self._add_morpheme_container(root_kendi, [A2Pl_Pron, (P2Pl_Pron,'niz'), self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_kendi, [A2Pl_Pron, (P2Pl_Pron,'niz'), (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_kendi, [A2Pl_Pron, (P2Pl_Pron,'niz'), (self._suffix_graph.get_suffix(u'Dat_Pron'), u'e')])
self._add_morpheme_container(root_kendi, [A2Pl_Pron, (P2Pl_Pron,'niz'), (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_kendi, [A2Pl_Pron, (P2Pl_Pron,'niz'), (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_kendi, [A2Pl_Pron, (P2Pl_Pron,'niz'), (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_kendi, [A2Pl_Pron, (P2Pl_Pron,'niz'), (self._suffix_graph.get_suffix(u'Gen_Pron'), u'in')])
self._add_morpheme_container(root_kendi, [A2Pl_Pron, (P2Pl_Pron,'niz'), self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
self._add_morpheme_container(root_kendi, [(A2Pl_Pron,'ler'), (P2Pl_Pron,'iniz'), self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_kendi, [(A2Pl_Pron,'ler'), (P2Pl_Pron,'iniz'), (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_kendi, [(A2Pl_Pron,'ler'), (P2Pl_Pron,'iniz'), (self._suffix_graph.get_suffix(u'Dat_Pron'), u'e')])
self._add_morpheme_container(root_kendi, [(A2Pl_Pron,'ler'), (P2Pl_Pron,'iniz'), (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_kendi, [(A2Pl_Pron,'ler'), (P2Pl_Pron,'iniz'), (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_kendi, [(A2Pl_Pron,'ler'), (P2Pl_Pron,'iniz'), (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_kendi, [(A2Pl_Pron,'ler'), (P2Pl_Pron,'iniz'), (self._suffix_graph.get_suffix(u'Gen_Pron'), u'in')])
self._add_morpheme_container(root_kendi, [(A2Pl_Pron,'ler'), (P2Pl_Pron,'iniz'), self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
##### A3pl
self._add_morpheme_container(root_kendi, [(A3Pl_Pron,'leri'), P3Pl_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_kendi, [(A3Pl_Pron,'leri'), P3Pl_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'ni')])
self._add_morpheme_container(root_kendi, [(A3Pl_Pron,'leri'), P3Pl_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'ne')])
self._add_morpheme_container(root_kendi, [(A3Pl_Pron,'leri'), P3Pl_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'nde')])
self._add_morpheme_container(root_kendi, [(A3Pl_Pron,'leri'), P3Pl_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'nden')])
self._add_morpheme_container(root_kendi, [(A3Pl_Pron,'leri'), P3Pl_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'yle')])
self._add_morpheme_container(root_kendi, [(A3Pl_Pron,'leri'), P3Pl_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'nin')])
self._add_morpheme_container(root_kendi, [(A3Pl_Pron,'leri'), P3Pl_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_hepsi(self):
root_hep = self._find_root(u'hep', SyntacticCategory.PRONOUN, None)
root_hepsi = self._find_root(u'hepsi', SyntacticCategory.PRONOUN, None)
A1Pl_Pron = self._suffix_graph.get_suffix(u'A1Pl_Pron')
P1Pl_Pron = self._suffix_graph.get_suffix(u'P1Pl_Pron')
A2Pl_Pron = self._suffix_graph.get_suffix(u'A2Pl_Pron')
P2Pl_Pron = self._suffix_graph.get_suffix(u'P2Pl_Pron')
A3Pl_Pron = self._suffix_graph.get_suffix(u'A3Pl_Pron')
P3Pl_Pron = self._suffix_graph.get_suffix(u'P3Pl_Pron')
##### No A1Sg
##### No A2Sg
##### No A3Sg
##### A1pl
self._add_morpheme_container(root_hep, [A1Pl_Pron, (P1Pl_Pron,'imiz'), self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_hep, [A1Pl_Pron, (P1Pl_Pron,'imiz'), (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_hep, [A1Pl_Pron, (P1Pl_Pron,'imiz'), (self._suffix_graph.get_suffix(u'Dat_Pron'), u'e')])
self._add_morpheme_container(root_hep, [A1Pl_Pron, (P1Pl_Pron,'imiz'), (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_hep, [A1Pl_Pron, (P1Pl_Pron,'imiz'), (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_hep, [A1Pl_Pron, (P1Pl_Pron,'imiz'), (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_hep, [A1Pl_Pron, (P1Pl_Pron,'imiz'), (self._suffix_graph.get_suffix(u'Gen_Pron'), u'in')])
self._add_morpheme_container(root_hep, [A1Pl_Pron, (P1Pl_Pron,'imiz'), (self._suffix_graph.get_suffix(u'AccordingTo'), u'ce')])
self._add_morpheme_container(root_hep, [A1Pl_Pron, (P1Pl_Pron,'imiz'), self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
##### A2pl
self._add_morpheme_container(root_hep, [A2Pl_Pron, (P2Pl_Pron,'iniz'), self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_hep, [A2Pl_Pron, (P2Pl_Pron,'iniz'), (self._suffix_graph.get_suffix(u'Acc_Pron'), u'i')])
self._add_morpheme_container(root_hep, [A2Pl_Pron, (P2Pl_Pron,'iniz'), (self._suffix_graph.get_suffix(u'Dat_Pron'), u'e')])
self._add_morpheme_container(root_hep, [A2Pl_Pron, (P2Pl_Pron,'iniz'), (self._suffix_graph.get_suffix(u'Loc_Pron'), u'de')])
self._add_morpheme_container(root_hep, [A2Pl_Pron, (P2Pl_Pron,'iniz'), (self._suffix_graph.get_suffix(u'Abl_Pron'), u'den')])
self._add_morpheme_container(root_hep, [A2Pl_Pron, (P2Pl_Pron,'iniz'), (self._suffix_graph.get_suffix(u'Ins_Pron'), u'le')])
self._add_morpheme_container(root_hep, [A2Pl_Pron, (P2Pl_Pron,'iniz'), (self._suffix_graph.get_suffix(u'Gen_Pron'), u'in')])
self._add_morpheme_container(root_hep, [A2Pl_Pron, (P2Pl_Pron,'iniz'), (self._suffix_graph.get_suffix(u'AccordingTo'), u'ce')])
self._add_morpheme_container(root_hep, [A2Pl_Pron, (P2Pl_Pron,'iniz'), self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
##### A3pl
self._add_morpheme_container(root_hepsi, [A3Pl_Pron, P3Pl_Pron, self._suffix_graph.get_suffix(u'Nom_Pron')])
self._add_morpheme_container(root_hepsi, [A3Pl_Pron, P3Pl_Pron, (self._suffix_graph.get_suffix(u'Acc_Pron'), u'ni')])
self._add_morpheme_container(root_hepsi, [A3Pl_Pron, P3Pl_Pron, (self._suffix_graph.get_suffix(u'Dat_Pron'), u'ne')])
self._add_morpheme_container(root_hepsi, [A3Pl_Pron, P3Pl_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'), u'nde')])
self._add_morpheme_container(root_hepsi, [A3Pl_Pron, P3Pl_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'), u'nden')])
self._add_morpheme_container(root_hepsi, [A3Pl_Pron, P3Pl_Pron, (self._suffix_graph.get_suffix(u'Ins_Pron'), u'yle')])
self._add_morpheme_container(root_hepsi, [A3Pl_Pron, P3Pl_Pron, (self._suffix_graph.get_suffix(u'Gen_Pron'), u'nin')])
self._add_morpheme_container(root_hepsi, [A3Pl_Pron, P3Pl_Pron, (self._suffix_graph.get_suffix(u'AccordingTo'), u'nce')])
self._add_morpheme_container(root_hepsi, [A3Pl_Pron, P3Pl_Pron, self._suffix_graph.get_suffix(u'Nom_Pron_Deriv')])
def _create_predefined_path_of_herkes(self):
root_herkes = self._find_root(u'herkes', SyntacticCategory.PRONOUN, None)
self._add_morpheme_container(root_herkes, [self._suffix_graph.get_suffix(u'A3Sg_Pron'), self._suffix_graph.get_suffix(u'Pnon_Pron')])
def _create_predefined_path_of_question_particles(self):
root_mii = self._find_root(u'mı', SyntacticCategory.QUESTION, None)
root_mi = self._find_root(u'mi', SyntacticCategory.QUESTION, None)
root_mu = self._find_root(u'mu', SyntacticCategory.QUESTION, None)
root_muu = self._find_root(u'mü', SyntacticCategory.QUESTION, None)
Pres_Ques = self._suffix_graph.get_suffix(u'Pres_Ques')
Past_Ques = self._suffix_graph.get_suffix(u'Past_Ques')
Narr_Ques = self._suffix_graph.get_suffix(u'Narr_Ques')
A1Sg_Ques = self._suffix_graph.get_suffix(u'A1Sg_Ques')
A2Sg_Ques = self._suffix_graph.get_suffix(u'A2Sg_Ques')
A3Sg_Ques = self._suffix_graph.get_suffix(u'A3Sg_Ques')
A1Pl_Ques = self._suffix_graph.get_suffix(u'A1Pl_Ques')
A2Pl_Ques = self._suffix_graph.get_suffix(u'A2Pl_Ques')
A3Pl_Ques = self._suffix_graph.get_suffix(u'A3Pl_Ques')
##### Pres
self._add_morpheme_container(root_mii, [Pres_Ques, (A1Sg_Ques,u'yım')])
self._add_morpheme_container(root_mii, [Pres_Ques, (A2Sg_Ques,u'sın')])
self._add_morpheme_container(root_mii, [Pres_Ques, (A3Sg_Ques,u'')])
self._add_morpheme_container(root_mii, [Pres_Ques, (A1Pl_Ques,u'yız')])
self._add_morpheme_container(root_mii, [Pres_Ques, (A2Pl_Ques,u'sınız')])
self._add_morpheme_container(root_mii, [Pres_Ques, (A3Pl_Ques,u'lar')])
self._add_morpheme_container(root_mi , [Pres_Ques, (A1Sg_Ques,u'yim')])
self._add_morpheme_container(root_mi , [Pres_Ques, (A2Sg_Ques,u'sin')])
self._add_morpheme_container(root_mi , [Pres_Ques, (A3Sg_Ques,u'')])
self._add_morpheme_container(root_mi , [Pres_Ques, (A1Pl_Ques,u'yiz')])
self._add_morpheme_container(root_mi , [Pres_Ques, (A2Pl_Ques,u'siniz')])
self._add_morpheme_container(root_mi , [Pres_Ques, (A3Pl_Ques,u'ler')])
self._add_morpheme_container(root_mu , [Pres_Ques, (A1Sg_Ques,u'yum')])
self._add_morpheme_container(root_mu , [Pres_Ques, (A2Sg_Ques,u'sun')])
self._add_morpheme_container(root_mu , [Pres_Ques, (A3Sg_Ques,u'')])
self._add_morpheme_container(root_mu , [Pres_Ques, (A1Pl_Ques,u'yuz')])
self._add_morpheme_container(root_mu , [Pres_Ques, (A2Pl_Ques,u'sunuz')])
self._add_morpheme_container(root_mu , [Pres_Ques, (A3Pl_Ques,u'lar')])
self._add_morpheme_container(root_muu, [Pres_Ques, (A1Sg_Ques,u'yüm')])
self._add_morpheme_container(root_muu, [Pres_Ques, (A2Sg_Ques,u'sün')])
self._add_morpheme_container(root_muu, [Pres_Ques, (A3Sg_Ques,u'')])
self._add_morpheme_container(root_muu, [Pres_Ques, (A1Pl_Ques,u'yüz')])
self._add_morpheme_container(root_muu, [Pres_Ques, (A2Pl_Ques,u'sünüz')])
self._add_morpheme_container(root_muu, [Pres_Ques, (A3Pl_Ques,u'ler')])
##### Past
self._add_morpheme_container(root_mii, [(Past_Ques,u'ydı'), (A1Sg_Ques,u'm')])
self._add_morpheme_container(root_mii, [(Past_Ques,u'ydı'), (A2Sg_Ques,u'n')])
self._add_morpheme_container(root_mii, [(Past_Ques,u'ydı'), (A3Sg_Ques,u'')])
self._add_morpheme_container(root_mii, [(Past_Ques,u'ydı'), (A1Pl_Ques,u'k')])
self._add_morpheme_container(root_mii, [(Past_Ques,u'ydı'), (A2Pl_Ques,u'nız')])
self._add_morpheme_container(root_mii, [(Past_Ques,u'ydı'), (A3Pl_Ques,u'lar')])
self._add_morpheme_container(root_mi , [(Past_Ques,u'ydi'), (A1Sg_Ques,u'm')])
self._add_morpheme_container(root_mi , [(Past_Ques,u'ydi'), (A2Sg_Ques,u'n')])
self._add_morpheme_container(root_mi , [(Past_Ques,u'ydi'), (A3Sg_Ques,u'')])
self._add_morpheme_container(root_mi , [(Past_Ques,u'ydi'), (A1Pl_Ques,u'k')])
self._add_morpheme_container(root_mi , [(Past_Ques,u'ydi'), (A2Pl_Ques,u'niz')])
self._add_morpheme_container(root_mi , [(Past_Ques,u'ydi'), (A3Pl_Ques,u'ler')])
self._add_morpheme_container(root_mu , [(Past_Ques,u'ydu'), (A1Sg_Ques,u'm')])
self._add_morpheme_container(root_mu , [(Past_Ques,u'ydu'), (A2Sg_Ques,u'n')])
self._add_morpheme_container(root_mu , [(Past_Ques,u'ydu'), (A3Sg_Ques,u'')])
self._add_morpheme_container(root_mu , [(Past_Ques,u'ydu'), (A1Pl_Ques,u'k')])
self._add_morpheme_container(root_mu , [(Past_Ques,u'ydu'), (A2Pl_Ques,u'nuz')])
self._add_morpheme_container(root_mu , [(Past_Ques,u'ydu'), (A3Pl_Ques,u'lar')])
self._add_morpheme_container(root_muu, [(Past_Ques,u'ydü'), (A1Sg_Ques,u'm')])
self._add_morpheme_container(root_muu, [(Past_Ques,u'ydü'), (A2Sg_Ques,u'n')])
self._add_morpheme_container(root_muu, [(Past_Ques,u'ydü'), (A3Sg_Ques,u'')])
self._add_morpheme_container(root_muu, [(Past_Ques,u'ydü'), (A1Pl_Ques,u'k')])
self._add_morpheme_container(root_muu, [(Past_Ques,u'ydü'), (A2Pl_Ques,u'nüz')])
self._add_morpheme_container(root_muu, [(Past_Ques,u'ydü'), (A3Pl_Ques,u'ler')])
##### Narr
self._add_morpheme_container(root_mii, [(Narr_Ques,u'ymış'), (A1Sg_Ques,u'ım')])
self._add_morpheme_container(root_mii, [(Narr_Ques,u'ymış'), (A2Sg_Ques,u'sın')])
self._add_morpheme_container(root_mii, [(Narr_Ques,u'ymış'), (A3Sg_Ques,u'')])
self._add_morpheme_container(root_mii, [(Narr_Ques,u'ymış'), (A1Pl_Ques,u'ız')])
self._add_morpheme_container(root_mii, [(Narr_Ques,u'ymış'), (A2Pl_Ques,u'sınız')])
self._add_morpheme_container(root_mii, [(Narr_Ques,u'ymış'), (A3Pl_Ques,u'lar')])
self._add_morpheme_container(root_mi , [(Narr_Ques,u'ymiş'), (A1Sg_Ques,u'im')])
self._add_morpheme_container(root_mi , [(Narr_Ques,u'ymiş'), (A2Sg_Ques,u'sin')])
self._add_morpheme_container(root_mi , [(Narr_Ques,u'ymiş'), (A3Sg_Ques,u'')])
self._add_morpheme_container(root_mi , [(Narr_Ques,u'ymiş'), (A1Pl_Ques,u'iz')])
self._add_morpheme_container(root_mi , [(Narr_Ques,u'ymiş'), (A2Pl_Ques,u'siniz')])
self._add_morpheme_container(root_mi , [(Narr_Ques,u'ymiş'), (A3Pl_Ques,u'ler')])
self._add_morpheme_container(root_mu , [(Narr_Ques,u'ymuş'), (A1Sg_Ques,u'um')])
self._add_morpheme_container(root_mu , [(Narr_Ques,u'ymuş'), (A2Sg_Ques,u'sun')])
self._add_morpheme_container(root_mu , [(Narr_Ques,u'ymuş'), (A3Sg_Ques,u'')])
self._add_morpheme_container(root_mu , [(Narr_Ques,u'ymuş'), (A1Pl_Ques,u'uz')])
self._add_morpheme_container(root_mu , [(Narr_Ques,u'ymuş'), (A2Pl_Ques,u'sunuz')])
self._add_morpheme_container(root_mu , [(Narr_Ques,u'ymuş'), (A3Pl_Ques,u'lar')])
self._add_morpheme_container(root_muu, [(Narr_Ques,u'ymüş'), (A1Sg_Ques,u'üm')])
self._add_morpheme_container(root_muu, [(Narr_Ques,u'ymüş'), (A2Sg_Ques,u'sün')])
self._add_morpheme_container(root_muu, [(Narr_Ques,u'ymüş'), (A3Sg_Ques,u'')])
self._add_morpheme_container(root_muu, [(Narr_Ques,u'ymüş'), (A1Pl_Ques,u'üz')])
self._add_morpheme_container(root_muu, [(Narr_Ques,u'ymüş'), (A2Pl_Ques,u'sünüz')])
self._add_morpheme_container(root_muu, [(Narr_Ques,u'ymüş'), (A3Pl_Ques,u'ler')])
def _create_predefined_path_of_ne(self):
root_ne = self._find_root(u'ne', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.QUESTION)
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
self._add_morpheme_container(root_ne, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Sg_Pron'),u'm')])
self._add_morpheme_container(root_ne, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Sg_Pron'),u'yim')])
self._add_morpheme_container(root_ne, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Sg_Pron'),u'n')])
self._add_morpheme_container(root_ne, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Sg_Pron'),u'yin')])
self._add_morpheme_container(root_ne, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P3Sg_Pron'),u'yi')])
self._add_morpheme_container(root_ne, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P3Sg_Pron'),u'si')])
self._add_morpheme_container(root_ne, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Pl_Pron'),u'yimiz')])
self._add_morpheme_container(root_ne, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Pl_Pron'),u'yiniz')])
self._add_morpheme_container(root_ne, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P3Pl_Pron'),u'leri')])
self._add_morpheme_container(root_ne, [A3Sg_Pron, self._suffix_graph.get_suffix(u'Pnon_Pron'), (self._suffix_graph.get_suffix(u'Gen_Pron'), u'yin')])
self._add_morpheme_container(root_ne, [A3Sg_Pron, self._suffix_graph.get_suffix(u'Pnon_Pron')])
self._add_morpheme_container(root_ne, [(self._suffix_graph.get_suffix(u'A3Pl_Pron'), u'ler'), self._suffix_graph.get_suffix(u'Pnon_Pron')])
def _create_predefined_path_of_ora_bura_sura_nere(self):
root_or = self._find_root(u'or', SyntacticCategory.PRONOUN, None)
root_bur = self._find_root(u'bur', SyntacticCategory.PRONOUN, None)
root_sur = self._find_root(u'şur', SyntacticCategory.PRONOUN, None)
root_ner = self._find_root(u'ner', SyntacticCategory.PRONOUN, SecondarySyntacticCategory.QUESTION)
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
Pnon_Pron = self._suffix_graph.get_suffix(u'Pnon_Pron')
# define predefined paths for "orda" and "ordan" etc.
self._add_morpheme_container(root_or, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'),'da')])
self._add_morpheme_container(root_or, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'),'dan')])
self._add_morpheme_container(root_bur, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'),'da')])
self._add_morpheme_container(root_bur, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'),'dan')])
self._add_morpheme_container(root_sur, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'),'da')])
self._add_morpheme_container(root_sur, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'),'dan')])
self._add_morpheme_container(root_ner, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Loc_Pron'),'de')])
self._add_morpheme_container(root_ner, [A3Sg_Pron, Pnon_Pron, (self._suffix_graph.get_suffix(u'Abl_Pron'),'den')])
def _create_predefined_path_of_iceri_disari(self):
root_icer = self._find_root(u'içer', SyntacticCategory.NOUN, None)
root_disar = self._find_root(u'dışar', SyntacticCategory.NOUN, None)
A3Sg_Noun = self._suffix_graph.get_suffix(u'A3Sg_Noun')
Pnon_Noun = self._suffix_graph.get_suffix(u'Pnon_Noun')
P3Sg_Noun = self._suffix_graph.get_suffix(u'P3Sg_Noun')
# define predefined paths for "içerde" and "dışardan" etc.
self._add_morpheme_container(root_icer, [A3Sg_Noun, Pnon_Noun, (self._suffix_graph.get_suffix(u'Loc_Noun'),'de')])
self._add_morpheme_container(root_icer, [A3Sg_Noun, Pnon_Noun, (self._suffix_graph.get_suffix(u'Abl_Noun'),'den')])
self._add_morpheme_container(root_icer, [A3Sg_Noun, (P3Sg_Noun,'si')])
self._add_morpheme_container(root_disar, [A3Sg_Noun, Pnon_Noun, (self._suffix_graph.get_suffix(u'Loc_Noun'),'da')])
self._add_morpheme_container(root_disar, [A3Sg_Noun, Pnon_Noun, (self._suffix_graph.get_suffix(u'Abl_Noun'),'dan')])
self._add_morpheme_container(root_disar, [A3Sg_Noun, (P3Sg_Noun,u'sı')])
def _create_predefined_path_of_bazilari_bazisi(self):
root_bazisi = self._find_root(u'bazısı', SyntacticCategory.PRONOUN, None)
root_bazilari = self._find_root(u'bazıları', SyntacticCategory.PRONOUN, None)
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
self._add_morpheme_container(root_bazilari, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
self._add_morpheme_container(root_bazilari, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Pl_Pron'), u'mız')])
self._add_morpheme_container(root_bazilari, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Pl_Pron'), u'nız')])
self._add_morpheme_container(root_bazisi, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
def _create_predefined_path_of_kimileri_kimisi_kimi(self):
root_kimi = self._find_root(u'kimi', SyntacticCategory.PRONOUN, None)
root_kimisi = self._find_root(u'kimisi', SyntacticCategory.PRONOUN, None)
root_kimileri = self._find_root(u'kimileri', SyntacticCategory.PRONOUN, None)
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
self._add_morpheme_container(root_kimileri, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
self._add_morpheme_container(root_kimileri, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Pl_Pron'), u'miz')])
self._add_morpheme_container(root_kimileri, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Pl_Pron'), u'niz')])
self._add_morpheme_container(root_kimi, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
self._add_morpheme_container(root_kimi, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Pl_Pron'), u'miz')])
self._add_morpheme_container(root_kimi, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Pl_Pron'), u'niz')])
self._add_morpheme_container(root_kimisi, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
def _create_predefined_path_of_birileri_birisi_biri(self):
root_biri = self._find_root(u'biri', SyntacticCategory.PRONOUN, None)
root_birisi = self._find_root(u'birisi', SyntacticCategory.PRONOUN, None)
root_birileri = self._find_root(u'birileri', SyntacticCategory.PRONOUN, None)
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
self._add_morpheme_container(root_birileri, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
self._add_morpheme_container(root_birileri, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Pl_Pron'), u'miz')])
self._add_morpheme_container(root_birileri, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Pl_Pron'), u'niz')])
self._add_morpheme_container(root_biri, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
self._add_morpheme_container(root_biri, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Pl_Pron'), u'miz')])
self._add_morpheme_container(root_biri, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Pl_Pron'), u'niz')])
self._add_morpheme_container(root_birisi, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
def _create_predefined_path_of_hicbirisi_hicbiri(self):
root_hicbiri = self._find_root(u'hiçbiri', SyntacticCategory.PRONOUN, None)
root_hicbirisi = self._find_root(u'hiçbirisi', SyntacticCategory.PRONOUN, None)
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
self._add_morpheme_container(root_hicbiri, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
self._add_morpheme_container(root_hicbiri, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Pl_Pron'), u'miz')])
self._add_morpheme_container(root_hicbiri, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Pl_Pron'), u'niz')])
self._add_morpheme_container(root_hicbirisi, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
def _create_predefined_path_of_birbiri(self):
root_birbir = self._find_root(u'birbir', SyntacticCategory.PRONOUN, None)
root_birbiri = self._find_root(u'birbiri', SyntacticCategory.PRONOUN, None)
self._add_morpheme_container(root_birbiri, [self._suffix_graph.get_suffix(u'A3Sg_Pron'), self._suffix_graph.get_suffix(u'P3Sg_Pron')])
self._add_morpheme_container(root_birbiri, [self._suffix_graph.get_suffix(u'A1Pl_Pron'), (self._suffix_graph.get_suffix(u'P1Pl_Pron'), u'miz')])
self._add_morpheme_container(root_birbiri, [self._suffix_graph.get_suffix(u'A2Pl_Pron'), (self._suffix_graph.get_suffix(u'P2Pl_Pron'), u'niz')])
self._add_morpheme_container(root_birbir, [self._suffix_graph.get_suffix(u'A3Pl_Pron'), (self._suffix_graph.get_suffix(u'P3Pl_Pron'), u'leri')])
def _create_predefined_path_of_cogu_bircogu_coklari_bircoklari(self):
root_cogu = self._find_root(u'çoğu', SyntacticCategory.PRONOUN, None)
root_bircogu = self._find_root(u'birçoğu', SyntacticCategory.PRONOUN, None)
root_coklari = self._find_root(u'çokları', SyntacticCategory.PRONOUN, None)
root_bircoklari = self._find_root(u'birçokları', SyntacticCategory.PRONOUN, None)
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
self._add_morpheme_container(root_cogu, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
self._add_morpheme_container(root_cogu, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Pl_Pron'), u'muz')])
self._add_morpheme_container(root_cogu, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Pl_Pron'), u'nuz')])
self._add_morpheme_container(root_bircogu, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
self._add_morpheme_container(root_bircogu, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Pl_Pron'), u'muz')])
self._add_morpheme_container(root_bircogu, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Pl_Pron'), u'nuz')])
self._add_morpheme_container(root_coklari, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Pl_Pron')])
self._add_morpheme_container(root_bircoklari, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Pl_Pron')])
def _create_predefined_path_of_birkaci(self):
root_birkaci = self._find_root(u'birkaçı', SyntacticCategory.PRONOUN, None)
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
self._add_morpheme_container(root_birkaci, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
self._add_morpheme_container(root_birkaci, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Pl_Pron'), u'mız')])
self._add_morpheme_container(root_birkaci, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Pl_Pron'), u'nız')])
def _create_predefined_path_of_cumlesi(self):
root_cumlesi = self._find_root(u'cümlesi', SyntacticCategory.PRONOUN, None)
self._add_morpheme_container(root_cumlesi, [self._suffix_graph.get_suffix(u'A3Sg_Pron'), self._suffix_graph.get_suffix(u'P3Sg_Pron')])
def _create_predefined_path_of_digeri_digerleri(self):
root_digeri = self._find_root(u'diğeri', SyntacticCategory.PRONOUN, None)
root_digerleri = self._find_root(u'diğerleri', SyntacticCategory.PRONOUN, None)
A3Sg_Pron = self._suffix_graph.get_suffix(u'A3Sg_Pron')
self._add_morpheme_container(root_digeri, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Sg_Pron')])
self._add_morpheme_container(root_digeri, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Pl_Pron'), u'miz')])
self._add_morpheme_container(root_digeri, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Pl_Pron'), u'niz')])
self._add_morpheme_container(root_digerleri, [A3Sg_Pron, self._suffix_graph.get_suffix(u'P3Pl_Pron')])
self._add_morpheme_container(root_digerleri, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P1Pl_Pron'), u'miz')])
self._add_morpheme_container(root_digerleri, [A3Sg_Pron, (self._suffix_graph.get_suffix(u'P2Pl_Pron'), u'niz')]) | 73.253599 | 191 | 0.724663 | 9,751 | 66,148 | 4.434417 | 0.039791 | 0.16827 | 0.139801 | 0.167345 | 0.883881 | 0.874676 | 0.855435 | 0.836078 | 0.806522 | 0.795444 | 0 | 0.011221 | 0.135061 | 66,148 | 903 | 192 | 73.253599 | 0.744538 | 0.012351 | 0 | 0.164134 | 0 | 0 | 0.08767 | 0.000766 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06079 | false | 0 | 0.006079 | 0 | 0.080547 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
557ed814afc834fdc064ac3359f22770ddea2658 | 7,135 | py | Python | tests/test_encoders.py | jeongyoonlee/Kaggler | 71370d3dabcf27d23b29b369e73c6f62eb894c7a | [
"MIT"
] | 743 | 2015-02-11T15:47:17.000Z | 2022-03-29T06:58:57.000Z | tests/test_encoders.py | dickmao/Kaggler | 8fe93669d2479c57919b44d992f55387323ea81b | [
"MIT"
] | 40 | 2015-03-16T17:44:40.000Z | 2022-03-06T05:40:11.000Z | tests/test_encoders.py | jeongyoonlee/Kaggler | 71370d3dabcf27d23b29b369e73c6f62eb894c7a | [
"MIT"
] | 178 | 2015-02-11T20:43:26.000Z | 2021-11-27T12:46:35.000Z | from kaggler.preprocessing import DAE, SDAE, TargetEncoder, EmbeddingEncoder, FrequencyEncoder
from sklearn.model_selection import KFold, train_test_split
from .const import RANDOM_SEED, TARGET_COL
N_FOLD = 5
def test_DAE(generate_data):
encoding_dim = 10
df = generate_data()
feature_cols = [x for x in df.columns if x != TARGET_COL]
cat_cols = [x for x in feature_cols if df[x].nunique() < 100]
num_cols = [x for x in feature_cols if x not in cat_cols]
dae = DAE(cat_cols=cat_cols, num_cols=num_cols, encoding_dim=encoding_dim, random_state=RANDOM_SEED)
X = dae.fit_transform(df[feature_cols])
assert X.shape[1] == encoding_dim
def test_DAE_with_validation_data(generate_data):
encoding_dim = 10
df = generate_data()
feature_cols = [x for x in df.columns if x != TARGET_COL]
cat_cols = [x for x in feature_cols if df[x].nunique() < 100]
num_cols = [x for x in feature_cols if x not in cat_cols]
dae = DAE(cat_cols=cat_cols, num_cols=num_cols, encoding_dim=encoding_dim, random_state=RANDOM_SEED)
trn, val = train_test_split(df, test_size=.2, shuffle=True, random_state=RANDOM_SEED)
X = dae.fit_transform(trn[feature_cols], validation_data=[val[feature_cols]])
assert X.shape[1] == encoding_dim
def test_DAE_with_multiple_encoders(generate_data):
encoding_dim = 10
n_encoder = 3
df = generate_data()
feature_cols = [x for x in df.columns if x != TARGET_COL]
cat_cols = [x for x in feature_cols if df[x].nunique() < 100]
num_cols = [x for x in feature_cols if x not in cat_cols]
dae = DAE(cat_cols=cat_cols, num_cols=num_cols, encoding_dim=encoding_dim, n_encoder=n_encoder,
random_state=RANDOM_SEED)
X = dae.fit_transform(df[feature_cols])
assert X.shape[1] == encoding_dim * n_encoder
def test_SDAE(generate_data):
encoding_dim = 10
df = generate_data()
feature_cols = [x for x in df.columns if x != TARGET_COL]
cat_cols = [x for x in feature_cols if df[x].nunique() < 100]
num_cols = [x for x in feature_cols if x not in cat_cols]
dae = SDAE(cat_cols=cat_cols, num_cols=num_cols, encoding_dim=encoding_dim, random_state=RANDOM_SEED)
X = dae.fit_transform(df[feature_cols], df[TARGET_COL])
assert X.shape[1] == encoding_dim
trn, val = train_test_split(df, test_size=.2, shuffle=True, random_state=RANDOM_SEED)
X = dae.fit_transform(trn[feature_cols], trn[TARGET_COL],
validation_data=(val[feature_cols], val[TARGET_COL]))
assert X.shape[1] == encoding_dim
n_encoder = 3
dae = SDAE(cat_cols=cat_cols, num_cols=num_cols, encoding_dim=encoding_dim, n_encoder=n_encoder,
random_state=RANDOM_SEED)
X = dae.fit_transform(df[feature_cols], df[TARGET_COL])
assert X.shape[1] == encoding_dim * n_encoder
def test_DAE_with_pretrained_model(generate_data):
encoding_dim = 10
df = generate_data()
feature_cols = [x for x in df.columns if x != TARGET_COL]
cat_cols = [x for x in feature_cols if df[x].nunique() < 100]
num_cols = [x for x in feature_cols if x not in cat_cols]
trn, val = train_test_split(df, test_size=.2, shuffle=True, random_state=RANDOM_SEED)
sdae = SDAE(cat_cols=cat_cols, num_cols=num_cols, encoding_dim=encoding_dim, random_state=RANDOM_SEED)
_ = sdae.fit_transform(trn[feature_cols], trn[TARGET_COL])
dae = DAE(cat_cols=cat_cols, num_cols=num_cols, encoding_dim=encoding_dim, random_state=RANDOM_SEED,
pretrained_model=sdae, freeze_embedding=True)
_ = dae.fit_transform(df[feature_cols])
assert not any([layer.trainable for layer in dae.dae.layers if layer.name.endswith('_emb')])
sdae2 = SDAE(cat_cols=cat_cols, num_cols=num_cols, encoding_dim=encoding_dim, random_state=RANDOM_SEED,
pretrained_model=dae, freeze_embedding=False)
_ = sdae2.fit_transform(trn[feature_cols], trn[TARGET_COL])
assert all([layer.trainable for layer in sdae2.dae.layers if layer.name.endswith('_emb')])
def test_TargetEncoder(generate_data):
df = generate_data()
feature_cols = [x for x in df.columns if x != TARGET_COL]
cat_cols = [x for x in feature_cols if df[x].nunique() < 100]
te = TargetEncoder()
X_cat = te.fit_transform(df[cat_cols], df[TARGET_COL])
print('Without CV:\n{}'.format(X_cat.head()))
assert X_cat.shape[1] == len(cat_cols)
cv = KFold(n_splits=N_FOLD, shuffle=True, random_state=RANDOM_SEED)
te = TargetEncoder(cv=cv)
X_cat = te.fit_transform(df[cat_cols], df[TARGET_COL])
print('With CV (fit_transform()):\n{}'.format(X_cat.head()))
assert X_cat.shape[1] == len(cat_cols)
te = TargetEncoder(cv=cv)
te.fit(df[cat_cols], df[TARGET_COL])
X_cat = te.transform(df[cat_cols])
print('With CV (fit() and transform() separately):\n{}'.format(X_cat.head()))
assert X_cat.shape[1] == len(cat_cols)
def test_EmbeddingEncoder(generate_data):
df = generate_data()
feature_cols = [x for x in df.columns if x != TARGET_COL]
cat_cols = [x for x in feature_cols if df[x].nunique() < 100]
num_cols = [x for x in feature_cols if x not in cat_cols]
print('Test with the regression target')
ee = EmbeddingEncoder(cat_cols=cat_cols,
num_cols=num_cols,
random_state=RANDOM_SEED)
X_emb = ee.fit_transform(X=df[feature_cols], y=df[TARGET_COL])
assert X_emb.shape[1] == sum(ee.n_emb)
print('Test with the binary classification target')
df[TARGET_COL] = (df[TARGET_COL] > df[TARGET_COL].mean()).astype(int)
ee = EmbeddingEncoder(cat_cols=cat_cols,
num_cols=num_cols,
random_state=RANDOM_SEED)
X_emb = ee.fit_transform(X=df[feature_cols], y=df[TARGET_COL])
assert X_emb.shape[1] == sum(ee.n_emb)
print('Test with the binary classification target with cross validation')
cv = KFold(n_splits=N_FOLD, shuffle=True, random_state=RANDOM_SEED)
ee = EmbeddingEncoder(cat_cols=cat_cols,
num_cols=num_cols,
cv=cv,
random_state=RANDOM_SEED)
X_emb = ee.fit_transform(X=df[feature_cols], y=df[TARGET_COL])
assert X_emb.shape[1] == sum(ee.n_emb)
def test_FrequencyEncoder(generate_data):
df = generate_data()
feature_cols = [x for x in df.columns if x != TARGET_COL]
cat_cols = [x for x in feature_cols if df[x].nunique() < 100]
te = FrequencyEncoder()
X_cat = te.fit_transform(df[cat_cols])
print('Without CV:\n{}'.format(X_cat.head()))
assert X_cat.shape[1] == len(cat_cols)
cv = KFold(n_splits=N_FOLD, shuffle=True, random_state=RANDOM_SEED)
te = FrequencyEncoder(cv=cv)
X_cat = te.fit_transform(df[cat_cols])
print('With CV (fit_transform()):\n{}'.format(X_cat.head()))
assert X_cat.shape[1] == len(cat_cols)
te = FrequencyEncoder(cv=cv)
te.fit(df[cat_cols])
X_cat = te.transform(df[cat_cols])
print('With CV (fit() and transform() separately):\n{}'.format(X_cat.head()))
assert X_cat.shape[1] == len(cat_cols)
| 38.15508 | 107 | 0.687456 | 1,148 | 7,135 | 3.997387 | 0.082753 | 0.076269 | 0.038353 | 0.043147 | 0.87993 | 0.852473 | 0.842885 | 0.814121 | 0.794944 | 0.789061 | 0 | 0.010117 | 0.196496 | 7,135 | 186 | 108 | 38.360215 | 0.790337 | 0 | 0 | 0.717557 | 0 | 0 | 0.046111 | 0.006167 | 0 | 0 | 0 | 0 | 0.129771 | 1 | 0.061069 | false | 0 | 0.022901 | 0 | 0.083969 | 0.068702 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e94737df0acf8e3ddb6a6d46a167c0d44c33c2d8 | 3,214 | py | Python | envi/tests/msp430/irlc.py | rnui2k/vivisect | b7b00f2d03defef28b4b8c912e3a8016e956c5f7 | [
"ECL-2.0",
"Apache-2.0"
] | 716 | 2015-01-01T14:41:11.000Z | 2022-03-28T06:51:50.000Z | envi/tests/msp430/irlc.py | rnui2k/vivisect | b7b00f2d03defef28b4b8c912e3a8016e956c5f7 | [
"ECL-2.0",
"Apache-2.0"
] | 266 | 2015-01-01T15:07:27.000Z | 2022-03-30T15:19:26.000Z | envi/tests/msp430/irlc.py | rnui2k/vivisect | b7b00f2d03defef28b4b8c912e3a8016e956c5f7 | [
"ECL-2.0",
"Apache-2.0"
] | 159 | 2015-01-01T16:19:44.000Z | 2022-03-21T21:55:34.000Z | from envi.archs.msp430.regs import *
checks = [
# RLC
(
'RLC r15 (destination negative + overflow)',
{ 'regs': [(REG_R15, 0x5555)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "0f6f", 'data': "" },
{ 'regs': [(REG_R15, 0xaaaa)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 0), (SR_V, 1)], 'code': "0f6f", 'data': "" }
),
(
'RLC r15 (destination C=1 + negative + overflow)',
{ 'regs': [(REG_R15, 0x5555)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 1), (SR_V, 0)], 'code': "0f6f", 'data': "" },
{ 'regs': [(REG_R15, 0xaaab)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 0), (SR_V, 1)], 'code': "0f6f", 'data': "" }
),
(
'RLC r15 (destination carry + zero + overflow)',
{ 'regs': [(REG_R15, 0x8000)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "0f6f", 'data': "" },
{ 'regs': [(REG_R15, 0x0)], 'flags': [(SR_N, 0), (SR_Z, 1), (SR_C, 1), (SR_V, 1)], 'code': "0f6f", 'data': "" }
),
(
'RLC r15 (destination negative + overflow)',
{ 'regs': [(REG_R15, 0x4000)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "0f6f", 'data': "" },
{ 'regs': [(REG_R15, 0x8000)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 0), (SR_V, 1)], 'code': "0f6f", 'data': "" }
),
(
'RLC r15 (destination negative + carry)',
{ 'regs': [(REG_R15, 0xc000)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "0f6f", 'data': "" },
{ 'regs': [(REG_R15, 0x8000)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 1), (SR_V, 0)], 'code': "0f6f", 'data': "" }
),
# RLC.b
(
'RLC.b r15 (destination negative + overflow)',
{ 'regs': [(REG_R15, 0x1155)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "4f6f", 'data': "" },
{ 'regs': [(REG_R15, 0xaa)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 0), (SR_V, 1)], 'code': "4f6f", 'data': "" }
),
(
'RLC.b r15 (destination C=1 + negative + overflow)',
{ 'regs': [(REG_R15, 0x1155)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 1), (SR_V, 0)], 'code': "4f6f", 'data': "" },
{ 'regs': [(REG_R15, 0xab)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 0), (SR_V, 1)], 'code': "4f6f", 'data': "" }
),
(
'RLC.b r15 (destination carry + zero + overflow)',
{ 'regs': [(REG_R15, 0x1180)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "4f6f", 'data': "" },
{ 'regs': [(REG_R15, 0x0)], 'flags': [(SR_N, 0), (SR_Z, 1), (SR_C, 1), (SR_V, 1)], 'code': "4f6f", 'data': "" }
),
(
'RLC.b r15 (destination negative + overflow)',
{ 'regs': [(REG_R15, 0x1140)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "4f6f", 'data': "" },
{ 'regs': [(REG_R15, 0x80)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 0), (SR_V, 1)], 'code': "4f6f", 'data': "" }
),
(
'RLC.b r15 (destination negative + carry)',
{ 'regs': [(REG_R15, 0x11c0)], 'flags': [(SR_N, 0), (SR_Z, 0), (SR_C, 0), (SR_V, 0)], 'code': "4f6f", 'data': "" },
{ 'regs': [(REG_R15, 0x80)], 'flags': [(SR_N, 1), (SR_Z, 0), (SR_C, 1), (SR_V, 0)], 'code': "4f6f", 'data': "" }
),
]
| 55.413793 | 123 | 0.448973 | 471 | 3,214 | 2.85138 | 0.089172 | 0.098287 | 0.14892 | 0.080417 | 0.931497 | 0.931497 | 0.931497 | 0.904691 | 0.838421 | 0.793745 | 0 | 0.106023 | 0.2458 | 3,214 | 57 | 124 | 56.385965 | 0.44802 | 0.0028 | 0 | 0.264151 | 0 | 0 | 0.266708 | 0 | 0 | 0 | 0.033104 | 0 | 0 | 1 | 0 | false | 0 | 0.018868 | 0 | 0.018868 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
e948cf7694bacbbaaa29b6b24a814832e7d7a26c | 2,205 | py | Python | cdad/cdadmap/migrations/0023_auto_20150722_1147.py | NiJeLorg/CDADMap | 1f03dccf57951748155a0094a5aec3253183c412 | [
"MIT"
] | null | null | null | cdad/cdadmap/migrations/0023_auto_20150722_1147.py | NiJeLorg/CDADMap | 1f03dccf57951748155a0094a5aec3253183c412 | [
"MIT"
] | null | null | null | cdad/cdadmap/migrations/0023_auto_20150722_1147.py | NiJeLorg/CDADMap | 1f03dccf57951748155a0094a5aec3253183c412 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('cdadmap', '0022_auto_20150721_1810'),
]
operations = [
migrations.AlterField(
model_name='meetingpanel',
name='Address2',
field=models.TextField(null=True, blank=True),
preserve_default=True,
),
migrations.AlterField(
model_name='surveypanel',
name='accomplish_five_description',
field=models.TextField(null=True, blank=True),
preserve_default=True,
),
migrations.AlterField(
model_name='surveypanel',
name='accomplish_five_title',
field=models.TextField(null=True, blank=True),
preserve_default=True,
),
migrations.AlterField(
model_name='surveypanel',
name='accomplish_four_description',
field=models.TextField(null=True, blank=True),
preserve_default=True,
),
migrations.AlterField(
model_name='surveypanel',
name='accomplish_four_title',
field=models.TextField(null=True, blank=True),
preserve_default=True,
),
migrations.AlterField(
model_name='surveypanel',
name='accomplish_three_description',
field=models.TextField(null=True, blank=True),
preserve_default=True,
),
migrations.AlterField(
model_name='surveypanel',
name='accomplish_three_title',
field=models.TextField(null=True, blank=True),
preserve_default=True,
),
migrations.AlterField(
model_name='surveypanel',
name='accomplish_two_description',
field=models.TextField(null=True, blank=True),
preserve_default=True,
),
migrations.AlterField(
model_name='surveypanel',
name='accomplish_two_title',
field=models.TextField(null=True, blank=True),
preserve_default=True,
),
]
| 31.956522 | 58 | 0.582313 | 194 | 2,205 | 6.402062 | 0.21134 | 0.144928 | 0.181159 | 0.210145 | 0.830918 | 0.830918 | 0.830918 | 0.830918 | 0.830918 | 0.830918 | 0 | 0.011913 | 0.314739 | 2,205 | 68 | 59 | 32.426471 | 0.81006 | 0.009524 | 0 | 0.709677 | 0 | 0 | 0.151237 | 0.089368 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.032258 | 0 | 0.080645 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
e9516d7e0c4fa7ae09972dc80c4911283481d9e7 | 5,156 | py | Python | optim/adam_hd.py | jpeg729/pytorch-bits | 5d107094042c27472dfb7dee77506b603f5d3e45 | [
"MIT"
] | 73 | 2017-12-29T14:43:16.000Z | 2021-08-13T02:20:33.000Z | optim/adam_hd.py | jpeg729/pytorch-bits | 5d107094042c27472dfb7dee77506b603f5d3e45 | [
"MIT"
] | null | null | null | optim/adam_hd.py | jpeg729/pytorch-bits | 5d107094042c27472dfb7dee77506b603f5d3e45 | [
"MIT"
] | 5 | 2017-12-30T14:07:39.000Z | 2021-08-13T02:20:34.000Z | import torch
from torch.optim.optimizer import Optimizer, required
class Adam_HD_lr_per_param(Optimizer):
def __init__(self, params, lr=1e-3, lr_lr=.1, betas=(0.9, 0.999), eps=1e-8,
weight_decay=0):
defaults = dict(lr=lr, lr_lr=lr_lr, betas=betas, eps=eps,
weight_decay=weight_decay)
super(Adam_HD_lr_per_param, self).__init__(params, defaults)
def step(self, closure=None):
loss = None
if closure is not None:
loss = closure()
for group in self.param_groups:
for p in group['params']:
if p.grad is None:
continue
grad = p.grad.data
if grad.is_sparse:
raise RuntimeError('Adam_HD does not support sparse gradients, please consider SparseAdam instead')
state = self.state[p]
# State initialization
if len(state) == 0:
state['step'] = 0
state['lr'] = torch.zeros_like(p.data).fill_(group['lr'])
# Exponential moving average of gradient values
state['m'] = torch.zeros_like(p.data)
# Exponential moving average of squared gradient values
state['v'] = torch.zeros_like(p.data)
# For calculating df/dlr
state['m_debiased_tm1'] = torch.zeros_like(p.data)
state['v_debiased_tm1'] = torch.zeros_like(p.data)
m, m_debiased_tm1 = state['m'], state['m_debiased_tm1']
v, v_debiased_tm1 = state['v'], state['v_debiased_tm1']
beta1, beta2 = group['betas']
state['step'] += 1
if group['weight_decay'] != 0:
grad = grad.add(group['weight_decay'], p.data)
# Decay the first and second moment running average coefficient
m.mul_(beta1).add_(1 - beta1, grad)
v.mul_(beta2).addcmul_(1 - beta2, grad, grad)
# Bias corrections
m_debiased = m.div(1 - beta1 ** state['step'])
v_debiased = v.div(1 - beta2 ** state['step'])
# Update learning rate
h = grad * (-m_debiased_tm1 / (torch.sqrt(v_debiased_tm1) + group['eps']))
state['lr'].add_(-group['lr_lr'], h)
p.data.addcdiv_(-state['lr'] * m_debiased, (torch.sqrt(v_debiased) + group['eps']))
m_debiased_tm1.copy_(m_debiased)
v_debiased_tm1.copy_(v_debiased)
return loss
class Adam_HD(Optimizer):
def __init__(self, params, lr=1e-3, lr_lr=.1, betas=(0.9, 0.999), eps=1e-8,
weight_decay=0):
defaults = dict(lr=lr, lr_lr=lr_lr, betas=betas, eps=eps,
weight_decay=weight_decay)
super(Adam_HD, self).__init__(params, defaults)
def step(self, closure=None):
loss = None
if closure is not None:
loss = closure()
for group in self.param_groups:
for p in group['params']:
if p.grad is None:
continue
grad = p.grad.data
if grad.is_sparse:
raise RuntimeError('Adam_HD does not support sparse gradients, please consider SparseAdam instead')
state = self.state[p]
# State initialization
if len(state) == 0:
state['step'] = 0
state['lr'] = group['lr']
# Exponential moving average of gradient values
state['m'] = torch.zeros_like(p.data)
# Exponential moving average of squared gradient values
state['v'] = torch.zeros_like(p.data)
# For calculating df/dlr
state['m_debiased_tm1'] = torch.zeros_like(p.data)
state['v_debiased_tm1'] = torch.zeros_like(p.data)
m, m_debiased_tm1 = state['m'], state['m_debiased_tm1']
v, v_debiased_tm1 = state['v'], state['v_debiased_tm1']
beta1, beta2 = group['betas']
state['step'] += 1
if group['weight_decay'] != 0:
grad = grad.add(group['weight_decay'], p.data)
# Decay the first and second moment running average coefficient
m.mul_(beta1).add_(1 - beta1, grad)
v.mul_(beta2).addcmul_(1 - beta2, grad, grad)
# Bias corrections
m_debiased = m.div(1 - beta1 ** state['step'])
v_debiased = v.div(1 - beta2 ** state['step'])
# Update learning rate
h = grad * (-m_debiased_tm1 / (torch.sqrt(v_debiased_tm1) + group['eps']))
state['lr'] -= group['lr_lr'] * h.mean()
p.data.addcdiv_(-state['lr'] * m_debiased, (torch.sqrt(v_debiased) + group['eps']))
m_debiased_tm1.copy_(m_debiased)
v_debiased_tm1.copy_(v_debiased)
return loss | 40.28125 | 119 | 0.520171 | 615 | 5,156 | 4.154472 | 0.160976 | 0.086106 | 0.046967 | 0.052838 | 0.959296 | 0.941683 | 0.941683 | 0.941683 | 0.941683 | 0.941683 | 0 | 0.023277 | 0.366757 | 5,156 | 128 | 120 | 40.28125 | 0.759265 | 0.094453 | 0 | 0.880952 | 0 | 0 | 0.088937 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.02381 | 0 | 0.119048 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
758a4039f00a18706edf8abb6d9a2821366025ed | 94 | py | Python | keras_contrib/layers/wrappers.py | stante/keras-contrib | 890d3e2e5729d6cc1d5e3d9d9310ed424c4cc92f | [
"MIT"
] | 9 | 2019-07-03T12:45:13.000Z | 2022-02-17T09:18:30.000Z | keras_contrib/layers/wrappers.py | stante/keras-contrib | 890d3e2e5729d6cc1d5e3d9d9310ed424c4cc92f | [
"MIT"
] | null | null | null | keras_contrib/layers/wrappers.py | stante/keras-contrib | 890d3e2e5729d6cc1d5e3d9d9310ed424c4cc92f | [
"MIT"
] | 7 | 2019-05-27T08:32:25.000Z | 2021-05-28T11:46:27.000Z | from keras.layers import Layer
from keras.layers import InputSpec
from .. import backend as K
| 23.5 | 34 | 0.808511 | 15 | 94 | 5.066667 | 0.6 | 0.236842 | 0.394737 | 0.552632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148936 | 94 | 3 | 35 | 31.333333 | 0.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 8 |
7596f2924a80ce4601174d46fbf49c15300feee2 | 47 | py | Python | __init__.py | Team-Glare/calorieApp_server | 70cb88ddbee8ee99ffa64129a1cdeac8e2975fdc | [
"MIT"
] | null | null | null | __init__.py | Team-Glare/calorieApp_server | 70cb88ddbee8ee99ffa64129a1cdeac8e2975fdc | [
"MIT"
] | 15 | 2021-11-23T17:39:24.000Z | 2021-11-30T01:48:36.000Z | __init__.py | Team-Glare/calorieApp_server | 70cb88ddbee8ee99ffa64129a1cdeac8e2975fdc | [
"MIT"
] | 1 | 2021-12-01T05:48:58.000Z | 2021-12-01T05:48:58.000Z | from .apps import App
def __init__():
pass | 11.75 | 21 | 0.680851 | 7 | 47 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.234043 | 47 | 4 | 22 | 11.75 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 8 |
75bc4cd56a039fe4322ea3827f3bbfa8f8f99110 | 4,484 | py | Python | src/postprocess/calculate_metrics.py | CMFell/phd_cnn_code | cb343bc379f5b06241cead64089a41ae5a6fe167 | [
"MIT"
] | null | null | null | src/postprocess/calculate_metrics.py | CMFell/phd_cnn_code | cb343bc379f5b06241cead64089a41ae5a6fe167 | [
"MIT"
] | null | null | null | src/postprocess/calculate_metrics.py | CMFell/phd_cnn_code | cb343bc379f5b06241cead64089a41ae5a6fe167 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from pathlib import Path
def conf_mat_raw(true, predicted, labels):
mat_out = np.empty((len(labels), len(labels)))
for i, row in enumerate(labels):
preds_row = predicted[true == row]
for j, col in enumerate(labels):
mat_out[i, j] = np.sum(preds_row == col)
mat_out = np.array(mat_out, dtype=np.int)
return mat_out
def conf_mat_plot_heatmap_blankTN(cm, display_labels, title_in, heatmap_type='true'):
if len(display_labels) == 2:
fig, ax = plt.subplots(figsize=(6,4.5))
else:
fig, ax = plt.subplots(figsize=(12,9))
n_classes = cm.shape[0]
cmap = 'Greys'
if heatmap_type == 'percent':
sum_vals = np.sum(cm)
elif heatmap_type == 'true':
sum_vals = np.reshape(np.repeat(np.sum(cm, axis=1), n_classes), (n_classes, n_classes))
elif heatmap_type == 'pred':
sum_vals = np.reshape(np.tile(np.sum(cm, axis=0), n_classes), (n_classes, n_classes))
print(sum_vals)
color_mapping = np.array(np.multiply(np.divide(cm, sum_vals), 255), np.uint8)
for i in range(n_classes):
for j in range(n_classes):
if i == 0 and j == 0:
text_cm = ""
else:
text_cm = format(cm[i, j], ',')
txt_color = [1, 1, 1] if color_mapping[i, j] > 100 else [0, 0, 0]
ax.text(j, i, text_cm, ha="center", va="center", color=txt_color, fontsize=18)
ax.axhline(i - .5, color='black', linewidth=1.0)
ax.axvline(j - .5, color='black', linewidth=1.0)
ax.matshow(color_mapping, cmap=cmap)
ax.set_xlabel("Predicted label", fontsize=16)
ax.set_ylabel("True label", fontsize=16)
ax.set_xticks(np.arange(n_classes))
ax.set_yticks(np.arange(n_classes))
ax.set_xticklabels(display_labels, fontsize=16)
ax.set_yticklabels(display_labels, fontsize=16)
ax.set_title(title_in, fontsize=16)
ax.tick_params(bottom=True, labelbottom=True, top=False, labeltop=False)
ax.set_ylim((n_classes - 0.5, -0.5))
return ax
def conf_mat_plot_heatmap_blankTN_no_title(cm, display_labels, heatmap_type='true'):
if len(display_labels) == 2:
fig, ax = plt.subplots(figsize=(6,4.5))
else:
fig, ax = plt.subplots(figsize=(12,9))
n_classes = cm.shape[0]
cmap = 'Greys'
if heatmap_type == 'percent':
sum_vals = np.sum(cm)
elif heatmap_type == 'true':
sum_vals = np.reshape(np.repeat(np.sum(cm, axis=1), n_classes), (n_classes, n_classes))
elif heatmap_type == 'pred':
sum_vals = np.reshape(np.tile(np.sum(cm, axis=0), n_classes), (n_classes, n_classes))
print(sum_vals)
color_mapping = np.array(np.multiply(np.divide(cm, sum_vals), 255), np.uint8)
for i in range(n_classes):
for j in range(n_classes):
if i == 0 and j == 0:
text_cm = ""
else:
text_cm = format(cm[i, j], ',')
txt_color = [1, 1, 1] if color_mapping[i, j] > 100 else [0, 0, 0]
ax.text(j, i, text_cm, ha="center", va="center", color=txt_color, fontsize=18)
ax.axhline(i - .5, color='black', linewidth=1.0)
ax.axvline(j - .5, color='black', linewidth=1.0)
ax.matshow(color_mapping, cmap=cmap)
ax.set_xlabel("Predicted label", fontsize=16)
ax.set_ylabel("True label", fontsize=16)
ax.set_xticks(np.arange(n_classes))
ax.set_yticks(np.arange(n_classes))
ax.set_xticklabels(display_labels, fontsize=16)
ax.set_yticklabels(display_labels, fontsize=16)
ax.tick_params(bottom=True, labelbottom=True, top=False, labeltop=False)
ax.set_ylim((n_classes - 0.5, -0.5))
return ax
def save_conf_mat_plot(cm, labels, title, results_dir, prefix):
n_class = len(labels)
cm_all = np.reshape(np.array(cm, dtype=np.int), (n_class, n_class))
cm_out = conf_mat_plot_heatmap_blankTN(cm_all, labels, title)
out_path = prefix + '_confidence_matrix.png'
results_dir = Path(results_dir)
cm_out.get_figure().savefig(results_dir / out_path)
def save_conf_mat_plot_no_title(cm, labels, results_dir, prefix):
n_class = len(labels)
cm_all = np.reshape(np.array(cm, dtype=np.int), (n_class, n_class))
cm_out = conf_mat_plot_heatmap_blankTN_no_title(cm_all, labels)
out_path = prefix + '_confidence_matrix.png'
results_dir = Path(results_dir)
cm_out.get_figure().savefig(results_dir / out_path) | 37.057851 | 95 | 0.639607 | 705 | 4,484 | 3.849645 | 0.171631 | 0.070744 | 0.039794 | 0.047163 | 0.867723 | 0.855564 | 0.842668 | 0.842668 | 0.826824 | 0.826824 | 0 | 0.026256 | 0.218555 | 4,484 | 121 | 96 | 37.057851 | 0.748288 | 0 | 0 | 0.8125 | 0 | 0 | 0.041918 | 0.00981 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052083 | false | 0 | 0.03125 | 0 | 0.114583 | 0.020833 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
75cc82728fdaf0d3be6da426f2202648b662f285 | 8,743 | py | Python | tests/test_route_distances.py | 0x2b3bfa0/aizynthfinder | 3f1536e8947adcfc8b2603709eecc7895e48d42d | [
"MIT"
] | 1 | 2021-11-19T04:32:51.000Z | 2021-11-19T04:32:51.000Z | tests/test_route_distances.py | 0x2b3bfa0/aizynthfinder | 3f1536e8947adcfc8b2603709eecc7895e48d42d | [
"MIT"
] | null | null | null | tests/test_route_distances.py | 0x2b3bfa0/aizynthfinder | 3f1536e8947adcfc8b2603709eecc7895e48d42d | [
"MIT"
] | null | null | null | import pytest
from aizynthfinder.utils.route_clustering.distances import (
AptedConfig,
ReactionTreeWrapper,
TreeContent,
)
from aizynthfinder.analysis import ReactionTree
from aizynthfinder.chem import Molecule
node1 = {"type": "mol", "fingerprint": [0, 1, 0], "children": ["A", "B", "C"]}
node2 = {"type": "mol", "fingerprint": [1, 1, 0]}
def test_rename_cost_different_types():
config = AptedConfig()
cost = config.rename({"type": "type1"}, {"type": "type2"})
assert cost == 1
def test_rename_cost_same_types():
config = AptedConfig()
cost = config.rename(node1, node2)
assert cost == 0.5
def test_get_children_fixed():
config = AptedConfig()
assert config.children(node1) == ["A", "B", "C"]
def test_get_children_random():
config = AptedConfig(randomize=True)
children = config.children(node1)
assert len(children) == 3
for expected_child in ["A", "B", "C"]:
assert expected_child in children
@pytest.mark.parametrize(
"route_index", [1, 2],
)
def test_create_wrapper(load_reaction_tree, route_index):
tree = ReactionTree.from_dict(
load_reaction_tree("routes_for_clustering.json", route_index)
)
wrapper = ReactionTreeWrapper(tree)
assert wrapper.info["content"] == TreeContent.MOLECULES
assert wrapper.info["tree count"] == 4
assert wrapper.info["root"] is tree.root
assert len(wrapper.trees) == 4
wrapper = ReactionTreeWrapper(tree, TreeContent.REACTIONS)
assert wrapper.info["content"] == TreeContent.REACTIONS
assert wrapper.info["tree count"] == 1
assert wrapper.info["root"] is list(tree.graph[tree.root])[0]
assert len(wrapper.trees) == 1
wrapper = ReactionTreeWrapper(tree, TreeContent.BOTH)
assert wrapper.info["content"] == TreeContent.BOTH
assert wrapper.info["tree count"] == 4
assert wrapper.info["root"] is tree.root
assert len(wrapper.trees) == 4
def test_create_wrapper_no_reaction():
tree = ReactionTree()
mol = Molecule(smiles="CCC")
tree.graph.add_node(mol)
tree.root = mol
wrapper = ReactionTreeWrapper(tree)
assert wrapper.info["tree count"] == 1
assert wrapper.info["root"] is mol
assert len(wrapper.trees) == 1
wrapper = ReactionTreeWrapper(tree, TreeContent.REACTIONS)
assert wrapper.info["tree count"] == 0
assert wrapper.info["root"] is None
assert len(wrapper.trees) == 0
wrapper = ReactionTreeWrapper(tree, TreeContent.BOTH)
assert wrapper.info["tree count"] == 1
assert wrapper.info["root"] is mol
assert len(wrapper.trees) == 1
def test_create_one_tree_of_molecules(load_reaction_tree):
tree = ReactionTree.from_dict(load_reaction_tree("routes_for_clustering.json", 0))
wrapper = ReactionTreeWrapper(tree, exhaustive_limit=1)
assert wrapper.info["tree count"] == 2
assert len(wrapper.trees) == 1
mol_nodes = list(tree.molecules())
assert wrapper.first_tree["smiles"] == mol_nodes[0].smiles
assert len(wrapper.first_tree["children"]) == 2
child_smiles = [child["smiles"] for child in wrapper.first_tree["children"]]
expected_smiles = [node.smiles for node in mol_nodes[1:]]
assert child_smiles == expected_smiles
def test_create_one_tree_of_reactions(load_reaction_tree):
tree = ReactionTree.from_dict(load_reaction_tree("routes_for_clustering.json", 0))
wrapper = ReactionTreeWrapper(
tree, content=TreeContent.REACTIONS, exhaustive_limit=1
)
assert wrapper.info["tree count"] == 1
assert len(wrapper.trees) == 1
rxn_nodes = list(tree.reactions())
assert wrapper.first_tree["smiles"] == rxn_nodes[0].smiles
assert len(wrapper.first_tree["children"]) == 0
def test_create_one_tree_of_everything(load_reaction_tree):
tree = ReactionTree.from_dict(load_reaction_tree("routes_for_clustering.json", 0))
wrapper = ReactionTreeWrapper(tree, content=TreeContent.BOTH, exhaustive_limit=1)
assert wrapper.info["tree count"] == 2
assert len(wrapper.trees) == 1
mol_nodes = list(tree.molecules())
rxn_nodes = list(tree.reactions())
assert wrapper.first_tree["smiles"] == mol_nodes[0].smiles
assert len(wrapper.first_tree["children"]) == 1
child1 = wrapper.first_tree["children"][0]
assert child1["smiles"] == rxn_nodes[0].smiles
assert len(child1["children"]) == 2
child_smiles = [child["smiles"] for child in child1["children"]]
expected_smiles = [node.smiles for node in mol_nodes[1:]]
assert child_smiles == expected_smiles
def test_create_all_trees_of_molecules(load_reaction_tree):
tree = ReactionTree.from_dict(load_reaction_tree("routes_for_clustering.json", 0))
wrapper = ReactionTreeWrapper(tree)
assert wrapper.info["tree count"] == 2
assert len(wrapper.trees) == 2
mol_nodes = list(tree.molecules())
# Assert first tree
assert wrapper.first_tree["smiles"] == mol_nodes[0].smiles
assert len(wrapper.first_tree["children"]) == 2
child_smiles = [child["smiles"] for child in wrapper.first_tree["children"]]
expected_smiles = [node.smiles for node in mol_nodes[1:]]
assert child_smiles == expected_smiles
# Assert second tree
assert wrapper.trees[1]["smiles"] == mol_nodes[0].smiles
assert len(wrapper.trees[1]["children"]) == 2
child_smiles = [child["smiles"] for child in wrapper.trees[1]["children"]]
expected_smiles = [node.smiles for node in mol_nodes[1:]]
assert child_smiles == expected_smiles[::-1]
def test_create_two_trees_of_everything(load_reaction_tree):
tree = ReactionTree.from_dict(load_reaction_tree("routes_for_clustering.json", 0))
wrapper = ReactionTreeWrapper(tree, content=TreeContent.BOTH)
assert wrapper.info["tree count"] == 2
assert len(wrapper.trees) == 2
mol_nodes = list(tree.molecules())
rxn_nodes = list(tree.reactions())
# Assert first tree
assert wrapper.first_tree["smiles"] == mol_nodes[0].smiles
assert len(wrapper.first_tree["children"]) == 1
child1 = wrapper.first_tree["children"][0]
assert child1["smiles"] == rxn_nodes[0].smiles
assert len(child1["children"]) == 2
child_smiles = [child["smiles"] for child in child1["children"]]
expected_smiles = [node.smiles for node in mol_nodes[1:]]
assert child_smiles == expected_smiles
# Assert second tree
assert wrapper.trees[1]["smiles"] == mol_nodes[0].smiles
assert len(wrapper.trees[1]["children"]) == 1
child1 = wrapper.trees[1]["children"][0]
assert child1["smiles"] == rxn_nodes[0].smiles
assert len(child1["children"]) == 2
child_smiles = [child["smiles"] for child in child1["children"]]
expected_smiles = [node.smiles for node in mol_nodes[1:]]
assert child_smiles == expected_smiles[::-1]
def test_route_self_distance(load_reaction_tree):
tree = ReactionTree.from_dict(load_reaction_tree("routes_for_clustering.json", 0))
wrapper = ReactionTreeWrapper(tree, exhaustive_limit=1)
assert wrapper.distance_to(wrapper) == 0.0
def test_route_distances_random(load_reaction_tree):
tree1 = ReactionTree.from_dict(load_reaction_tree("routes_for_clustering.json", 0))
wrapper1 = ReactionTreeWrapper(tree1, exhaustive_limit=1)
tree2 = ReactionTree.from_dict(load_reaction_tree("routes_for_clustering.json", 1))
wrapper2 = ReactionTreeWrapper(tree2, exhaustive_limit=1)
distances = list(wrapper1.distance_iter(wrapper2, exhaustive_limit=1))
assert len(distances) == 2
assert pytest.approx(distances[0], abs=1e-2) == 2.6522
def test_route_distances_exhaustive(load_reaction_tree):
tree1 = ReactionTree.from_dict(load_reaction_tree("routes_for_clustering.json", 0))
wrapper1 = ReactionTreeWrapper(tree1, exhaustive_limit=2)
tree2 = ReactionTree.from_dict(load_reaction_tree("routes_for_clustering.json", 1))
wrapper2 = ReactionTreeWrapper(tree2, exhaustive_limit=2)
distances = list(wrapper1.distance_iter(wrapper2, exhaustive_limit=40))
assert len(distances) == 2
assert pytest.approx(distances[0], abs=1e-2) == 2.6522
assert pytest.approx(min(distances), abs=1e-2) == 2.6522
def test_route_distances_semi_exhaustive(load_reaction_tree):
tree1 = ReactionTree.from_dict(load_reaction_tree("routes_for_clustering.json", 0))
wrapper1 = ReactionTreeWrapper(tree1, exhaustive_limit=1)
tree2 = ReactionTree.from_dict(load_reaction_tree("routes_for_clustering.json", 1))
wrapper2 = ReactionTreeWrapper(tree2, exhaustive_limit=2)
distances = list(wrapper1.distance_iter(wrapper2, exhaustive_limit=1))
assert len(distances) == 2
assert pytest.approx(distances[0], abs=1e-2) == 2.6522
assert pytest.approx(min(distances), abs=1e-2) == 2.6522
| 33.756757 | 87 | 0.713714 | 1,138 | 8,743 | 5.282953 | 0.093146 | 0.060546 | 0.061211 | 0.051896 | 0.84348 | 0.832668 | 0.804059 | 0.797572 | 0.755489 | 0.723719 | 0 | 0.025143 | 0.158412 | 8,743 | 258 | 88 | 33.887597 | 0.791927 | 0.00835 | 0 | 0.608187 | 0 | 0 | 0.095326 | 0.039008 | 0 | 0 | 0 | 0 | 0.415205 | 1 | 0.087719 | false | 0 | 0.023392 | 0 | 0.111111 | 0.011696 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f94ec88a9ebea2587ba783d672f1009b7aa8e387 | 1,423 | py | Python | src/Models/CodeExtractors/AbstractCodeExtrator.py | quicksloth/source-code-recommendation-server | 2b2315d15146af0e362cda3a4f791df5a064d8c7 | [
"Apache-2.0"
] | 3 | 2019-01-24T22:07:49.000Z | 2021-03-19T04:17:16.000Z | src/Models/CodeExtractors/AbstractCodeExtrator.py | quicksloth/source-code-recommendation-server | 2b2315d15146af0e362cda3a4f791df5a064d8c7 | [
"Apache-2.0"
] | 3 | 2017-08-27T18:01:07.000Z | 2017-09-16T13:46:20.000Z | src/Models/CodeExtractors/AbstractCodeExtrator.py | quicksloth/source-code-recommendation-server | 2b2315d15146af0e362cda3a4f791df5a064d8c7 | [
"Apache-2.0"
] | null | null | null | class AbstractCodeExtractor:
"""
Abstract Class to e
"""
@staticmethod
def extract_ast(code_text):
# Abstract method, defined by convention only
raise NotImplementedError("Subclass must implement abstract method")
@staticmethod
def extract_comments(code, extracted_ast):
# Abstract method, defined by convention only
raise NotImplementedError("Subclass must implement abstract method")
@staticmethod
def extract_variables_names(extracted_ast):
# Abstract method, defined by convention only
raise NotImplementedError("Subclass must implement abstract method")
@staticmethod
def extract_functions_names(extracted_ast):
# Abstract method, defined by convention only
raise NotImplementedError("Subclass must implement abstract method")
@staticmethod
def extract_classes(extracted_ast):
# Abstract method, defined by convention only
raise NotImplementedError("Subclass must implement abstract method")
@staticmethod
def extract_libs(extracted_ast):
# Abstract method, defined by convention only
raise NotImplementedError("Subclass must implement abstract method")
@staticmethod
def extract_number_of_lines(extracted_ast):
# Abstract method, defined by convention only
raise NotImplementedError("Subclass must implement abstract method")
| 35.575 | 76 | 0.725931 | 144 | 1,423 | 7.048611 | 0.215278 | 0.193103 | 0.151724 | 0.158621 | 0.872906 | 0.872906 | 0.872906 | 0.872906 | 0.872906 | 0.872906 | 0 | 0 | 0.219255 | 1,423 | 39 | 77 | 36.487179 | 0.913591 | 0.230499 | 0 | 0.636364 | 0 | 0 | 0.255379 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.318182 | false | 0 | 0 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
f9e92c3b56f00563983615d790cbad6e36585d39 | 1,854 | py | Python | src/datasets/__init__.py | hwang595/Draco | 8472912cce82e6d74087a402fd417e7a837517ab | [
"MIT"
] | 21 | 2018-09-19T06:30:57.000Z | 2022-03-25T22:44:39.000Z | src/datasets/__init__.py | hwang595/Draco | 8472912cce82e6d74087a402fd417e7a837517ab | [
"MIT"
] | 3 | 2018-12-31T05:44:22.000Z | 2021-09-09T15:59:46.000Z | src/datasets/__init__.py | hwang595/Draco | 8472912cce82e6d74087a402fd417e7a837517ab | [
"MIT"
] | 12 | 2018-09-19T06:30:59.000Z | 2021-12-13T09:53:54.000Z | import torch
from torch.utils.data import Dataset
class MNISTDataset(Dataset):
def __init__(self, dataset, transform):
self.dataset = dataset
self.images = dataset.images
self.labels = dataset.labels
self.transform = transform
def __len__(self):
return self.images.shape[0]
def __getitem__(self, idx):
data_sample = self.images[idx]
label_sample = self.labels[idx]
if self.transform:
data_sample = self.transform(data_sample)
label_sample = self.transform(label_sample)
return data_sample, label_sample
def next_batch(self, batch_size):
image_batch, label_batch = self.dataset.next_batch(batch_size=batch_size)
return torch.from_numpy(image_batch), torch.from_numpy(label_batch)
# TODO(hwang): figure out why `ToTensor` caused error here
#return self.transform(image_batch), self.transform(label_batch)
class Cifar10Dataset(Dataset):
def __init__(self, dataset, transform):
self.dataset = dataset
self.images = dataset.images
self.labels = dataset.labels
self.transform = transform
def __len__(self):
return self.images.shape[0]
def __getitem__(self, idx):
data_sample = self.images[idx]
label_sample = self.labels[idx]
if self.transform:
data_sample = self.transform(data_sample)
label_sample = self.transform(label_sample)
return data_sample, label_sample
def next_batch(self, batch_size):
image_batch, label_batch = self.dataset.next_batch(batch_size=batch_size)
return torch.from_numpy(image_batch), torch.from_numpy(label_batch)
# TODO(hwang): figure out why `ToTensor` caused error here
#return self.transform(image_batch), self.transform(label_batch) | 36.352941 | 81 | 0.68069 | 230 | 1,854 | 5.2 | 0.165217 | 0.130435 | 0.046823 | 0.076923 | 0.934783 | 0.934783 | 0.934783 | 0.934783 | 0.934783 | 0.934783 | 0 | 0.002809 | 0.231931 | 1,854 | 51 | 82 | 36.352941 | 0.837079 | 0.12891 | 0 | 0.894737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019608 | 0 | 1 | 0.210526 | false | 0 | 0.052632 | 0.052632 | 0.473684 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
ddf36705a877fe0b556ed5d35d198322ec8ece13 | 2,399 | py | Python | test/test_edit_group.py | virtus80/python_training | 0f521954f959aba654c45b49b04f9f27bd322cd9 | [
"Apache-2.0"
] | null | null | null | test/test_edit_group.py | virtus80/python_training | 0f521954f959aba654c45b49b04f9f27bd322cd9 | [
"Apache-2.0"
] | null | null | null | test/test_edit_group.py | virtus80/python_training | 0f521954f959aba654c45b49b04f9f27bd322cd9 | [
"Apache-2.0"
] | null | null | null | from model.group import Group
import random
def test_edit_some_group(app, db, check_ui):
if len(db.get_group_list()) == 0:
app.group.create(Group(name="group before editing", header="header edited group", footer="footer edited group"))
old_groups = db.get_group_list()
group = Group(name="group1(ed)", header="header1(ed)", footer="footer1(ed)")
group_for_edit = random.choice(old_groups)
index = old_groups.index(group_for_edit)
app.group.edit_group_by_id(group_for_edit.id, group)
new_groups = db.get_group_list()
old_groups[index] = Group(id=group_for_edit.id, name=group.name, header=group.header, footer=group.footer)
assert sorted(old_groups, key = Group.id_or_max) == sorted(new_groups, key = Group.id_or_max)
if check_ui:
db_list = map(db.clean_group, new_groups)
assert sorted(db_list, key=Group.id_or_max) == sorted(app.group.get_group_list(), key=Group.id_or_max)
def test_edit_group_name(app, db, check_ui):
if len(db.get_group_list()) == 0:
app.group.create(Group(name="group before editing", header="header edited group", footer="footer edited group"))
old_groups = db.get_group_list()
group = Group(name="New group")
group_for_edit = random.choice(old_groups)
index = old_groups.index(group_for_edit)
app.group.edit_group_by_id(group_for_edit.id, group)
new_groups = db.get_group_list()
old_groups[index] = Group(id=group_for_edit.id, name=group.name, header=group.header, footer=group.footer)
assert sorted(old_groups, key=Group.id_or_max) == sorted(new_groups, key=Group.id_or_max)
if check_ui:
db_list = map(db.clean_group, new_groups)
assert sorted(db_list, key=Group.id_or_max) == sorted(app.group.get_group_list(), key=Group.id_or_max)
'''
def test_edit_group_header(app):
if app.group.count() == 0:
app.group.create(Group(name="group before editing", header="header edited group", footer="footer edited group"))
old_groups = app.group.get_group_list()
group = Group(header="New header")
group.id = old_groups[0].id
index = randrange(len(old_groups))
app.group.edit_group_by_index(index, group)
assert len(old_groups) == app.group.count()
new_groups = app.group.get_group_list()
old_groups[index] = group
assert sorted(old_groups, key=Group.id_or_max) == sorted(new_groups, key=Group.id_or_max)
''' | 49.979167 | 120 | 0.71905 | 386 | 2,399 | 4.189119 | 0.119171 | 0.089054 | 0.074212 | 0.074212 | 0.871367 | 0.833643 | 0.812616 | 0.793445 | 0.793445 | 0.793445 | 0 | 0.003426 | 0.148395 | 2,399 | 48 | 121 | 49.979167 | 0.788057 | 0 | 0 | 0.8 | 0 | 0 | 0.08771 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 0.133333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
fb09803bcb2e7911343e661f8fc132e4f5709c9c | 1,692 | py | Python | examples/academic/abp_bw/run.py | Noxsense/mCRL2 | dd2fcdd6eb8b15af2729633041c2dbbd2216ad24 | [
"BSL-1.0"
] | 61 | 2018-05-24T13:14:05.000Z | 2022-03-29T11:35:03.000Z | examples/academic/abp_bw/run.py | Noxsense/mCRL2 | dd2fcdd6eb8b15af2729633041c2dbbd2216ad24 | [
"BSL-1.0"
] | 229 | 2018-05-28T08:31:09.000Z | 2022-03-21T11:02:41.000Z | examples/academic/abp_bw/run.py | Noxsense/mCRL2 | dd2fcdd6eb8b15af2729633041c2dbbd2216ad24 | [
"BSL-1.0"
] | 28 | 2018-04-11T14:09:39.000Z | 2022-02-25T15:57:39.000Z | import os
os.system('mcrl22lps -v abp_bw.mcrl2 abp_bw.lps')
os.system('lps2pbes -v -f nodeadlock.mcf abp_bw.lps abp_bw.nodeadlock.pbes')
os.system('pbes2bool -v abp_bw.nodeadlock.pbes')
os.system('lps2pbes -v -f infinitely_often_enabled_then_infinitely_often_taken.mcf abp_bw.lps abp_bw.infinitely_often_enabled_then_infinitely_often_taken.pbes')
os.system('pbes2bool -v abp_bw.infinitely_often_enabled_then_infinitely_often_taken.pbes')
os.system('lps2pbes -v -f infinitely_often_lost.mcf abp_bw.lps abp_bw.infinitely_often_lost.pbes')
os.system('pbes2bool -v abp_bw.infinitely_often_lost.pbes')
os.system('lps2pbes -v -f infinitely_often_receive_d1.mcf abp_bw.lps abp_bw.infinitely_often_receive_d1.pbes')
os.system('pbes2bool -v abp_bw.infinitely_often_receive_d1.pbes')
os.system('lps2pbes -v -f infinitely_often_receive_for_all_d.mcf abp_bw.lps abp_bw.infinitely_often_receive_for_all_d.pbes')
os.system('pbes2bool -v abp_bw.infinitely_often_receive_for_all_d.pbes')
os.system('lps2pbes -v -f read_then_eventually_send.mcf abp_bw.lps abp_bw.read_then_eventually_send.pbes')
os.system('pbes2bool -v abp_bw.read_then_eventually_send.pbes')
os.system('lps2pbes -v -f read_then_eventually_send_if_fair.mcf abp_bw.lps abp_bw.read_then_eventually_send_if_fair.pbes')
os.system('pbes2bool -v abp_bw.read_then_eventually_send_if_fair.pbes')
os.system('lps2pbes -v -f no_generation_of_messages.mcf abp_bw.lps abp_bw.no_generation_of_messages.pbes')
os.system('pbes2bool -v abp_bw.no_generation_of_messages.pbes')
os.system('lps2pbes -v -f no_duplication_of_messages.mcf abp_bw.lps abp_bw.no_duplication_of_messages.pbes')
os.system('pbes2bool -v abp_bw.no_duplication_of_messages.pbes')
| 56.4 | 160 | 0.83747 | 300 | 1,692 | 4.326667 | 0.12 | 0.11171 | 0.157165 | 0.117874 | 0.937596 | 0.923729 | 0.885978 | 0.795069 | 0.708783 | 0.484592 | 0 | 0.015038 | 0.056738 | 1,692 | 29 | 161 | 58.344828 | 0.798246 | 0 | 0 | 0 | 0 | 0 | 0.83156 | 0.589244 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.05 | 0 | 0.05 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
fb2241b091270880f411e0644c6b3e45f5254e10 | 2,006 | py | Python | buchi/buchi_inter_cobuchi.py | Skar0/generalizedparity | a29e08a637d8a957bc795f0bd93e5f8c420120f9 | [
"BSD-4-Clause-UC"
] | null | null | null | buchi/buchi_inter_cobuchi.py | Skar0/generalizedparity | a29e08a637d8a957bc795f0bd93e5f8c420120f9 | [
"BSD-4-Clause-UC"
] | null | null | null | buchi/buchi_inter_cobuchi.py | Skar0/generalizedparity | a29e08a637d8a957bc795f0bd93e5f8c420120f9 | [
"BSD-4-Clause-UC"
] | null | null | null | import buchi_inter_safety as buchi_inter_safety
from fatalattractors import attractors
def buchi_inter_cobuchi(g, u, s):
"""
Solves a Buchi inter co-Buchi game. The set u is to be visited infinitely often and s is to be visited finitely.
Assumes player 0 has the Buchi inter co-Buchi objective.
:param g: a game graph.
:param u: the set of nodes to be visited infinitely often.
:param s: the set of nodes to be visited finitely often.
:return: w_0, w_1 the winning regions.
"""
# TODO check if we need both winning regions
# We iterate over several subgames
current_game = g
i = 1
res = []
while True:
# Winning regions for player 1 in the buchi inter safety game in current_game.
w = buchi_inter_safety.buchi_inter_safety(current_game, u, s)
if not w:
break
res.extend(w)
a, not_a = attractors.attractor(g, w, 0)
current_game = g.subgame(not_a)
i = i + 1
return res
def buchi_inter_cobuchi_player(g, u, s, j):
"""
Solves a Buchi inter co-Buchi game. The set u is to be visited infinitely often and s is to be visited finitely.
Assumes player 0 has the Buchi inter co-Buchi objective.
:param g: a game graph.
:param u: the set of nodes to be visited infinitely often.
:param s: the set of nodes to be visited finitely often.
:param j: the player with the Buchi inter co-Buchi objective.
:return: w_0, w_1 the winning regions.
"""
# TODO check if we need both winning regions
# We iterate over several subgames
current_game = g
i = 1
res = []
while True:
# Winning regions for player 1 in the buchi inter safety game in current_game.
w = buchi_inter_safety.buchi_inter_safety_player(current_game, u, s, j)
if not w:
break
res.extend(w)
a, not_a = attractors.attractor(g, w, j)
current_game = g.subgame(not_a)
i = i + 1
return res | 29.072464 | 116 | 0.651545 | 321 | 2,006 | 3.965732 | 0.202492 | 0.117832 | 0.10055 | 0.066771 | 0.857031 | 0.857031 | 0.83425 | 0.83425 | 0.83425 | 0.83425 | 0 | 0.009047 | 0.283649 | 2,006 | 69 | 117 | 29.072464 | 0.876827 | 0.531406 | 0 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028986 | 0 | 1 | 0.071429 | false | 0 | 0.071429 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
551471595d4bbf4cdd3a9536004f0d8ffff4cc79 | 13,404 | py | Python | src/instrumentation_trace/test_trace_parser.py | AAU-PSix/canary | 93b07d23cd9380adc03a6aa1291a13eaa3b3008c | [
"MIT"
] | null | null | null | src/instrumentation_trace/test_trace_parser.py | AAU-PSix/canary | 93b07d23cd9380adc03a6aa1291a13eaa3b3008c | [
"MIT"
] | null | null | null | src/instrumentation_trace/test_trace_parser.py | AAU-PSix/canary | 93b07d23cd9380adc03a6aa1291a13eaa3b3008c | [
"MIT"
] | null | null | null | import unittest
from . import (
TraceParser,
TraceTreeBuilder,
Location
)
class TestTraceParser(unittest.TestCase):
def test_trace_tree_builder_empty_test_trace(self) -> None:
builder = TraceTreeBuilder()
builder \
.start_test("Tommy") \
.end_test() \
.build()
self.assertIsNone(builder.current_unit)
self.assertEqual(builder.current_depth, 0)
self.assertIsNotNone(builder.current_test)
self.assertEqual(builder.current_test.name, "Tommy")
def test_trace_tree_builder_single_unit_test_trace(self) -> None:
builder = TraceTreeBuilder()
builder \
.start_test("Andreas") \
.start_unit("Tommy")
self.assertEqual(builder.current_test.name, "Andreas")
self.assertEqual(builder.current_depth, 1)
self.assertEqual(builder.current_unit.name, "Tommy")
def test_trace_tree_builder_two_unit_test_trace(self) -> None:
builder = TraceTreeBuilder()
builder \
.start_test("Andreas") \
.start_unit("Tommy") \
.start_unit("Magnus") \
.end_unit()
self.assertEqual(builder.current_test.name, "Andreas")
self.assertEqual(builder.current_depth, 1)
self.assertEqual(builder.current_unit.name, "Tommy")
def test_trace_tree_builder_single_unit_single_location_test_trace(self) -> None:
builder = TraceTreeBuilder()
trace = builder \
.start_test("Andreas") \
.start_unit("Tommy") \
.enter_location("1") \
.end_unit() \
.end_test() \
.build()
sequence = [ *trace.sequence ]
self.assertEqual(len(sequence), 1)
location_1: Location = sequence[0]
self.assertIsInstance(location_1, Location)
self.assertEqual(location_1.test.name, "Andreas")
self.assertEqual(location_1.unit.name, "Tommy")
self.assertEqual(location_1.id, "1")
def test_trace_tree_builder_two_units_two_locations_test_trace(self) -> None:
builder = TraceTreeBuilder()
trace = builder \
.start_test("Andreas") \
.start_unit("Tommy1") \
.enter_location("1") \
.start_unit("Tommy2") \
.enter_location("2") \
.end_unit() \
.end_unit() \
.end_test() \
.build()
sequence = [ *trace.sequence ]
self.assertEqual(len(sequence), 2)
location_1: Location = sequence[0]
self.assertEqual(location_1.test.name, "Andreas")
self.assertEqual(location_1.unit.name, "Tommy1")
self.assertEqual(location_1.id, "1")
location_2: Location = sequence[1]
self.assertEqual(location_2.test.name, "Andreas")
self.assertEqual(location_2.unit.name, "Tommy2")
self.assertEqual(location_2.id, "2")
self.assertEqual(location_1.test, location_2.test)
def test_trace_tree_builder_two_units_three_locations_test_trace(self) -> None:
builder = TraceTreeBuilder()
trace = builder \
.start_test("Andreas") \
.start_unit("Tommy1") \
.enter_location("1") \
.start_unit("Tommy2") \
.enter_location("2") \
.end_unit() \
.enter_location("3") \
.end_unit() \
.end_test() \
.build()
sequence = [ *trace.sequence ]
self.assertEqual(len(sequence), 3)
location_1: Location = sequence[0]
self.assertEqual(location_1.unit.name, "Tommy1")
self.assertEqual(location_1.id, "1")
location_2: Location = sequence[1]
self.assertEqual(location_2.unit.name, "Tommy2")
self.assertEqual(location_2.id, "2")
location_3: Location = sequence[2]
self.assertEqual(location_3.unit.name, "Tommy1")
self.assertEqual(location_3.id, "3")
self.assertEqual(location_1.test, location_2.test)
self.assertEqual(location_2.test, location_3.test)
def test_trace_tree_builder_many_units_many_locations_test_trace(self) -> None:
builder = TraceTreeBuilder()
trace = builder \
.start_test("Andreas") \
.start_unit("Tommy1") \
.enter_location("1") \
.start_unit("Tommy2") \
.enter_location("2") \
.enter_location("3") \
.start_unit("Tommy3") \
.enter_location("4") \
.end_unit() \
.enter_location("5") \
.end_unit() \
.enter_location("6") \
.start_unit("Tommy4") \
.enter_location("7") \
.start_unit("Tommy5") \
.enter_location("8") \
.end_unit() \
.enter_location("9") \
.end_unit() \
.enter_location("10") \
.end_unit() \
.end_test() \
.build()
sequence = [ *trace.sequence ]
self.assertEqual(len(sequence), 10)
location_1: Location = sequence[0]
self.assertEqual(location_1.test.name, "Andreas")
self.assertEqual(location_1.unit.name, "Tommy1")
self.assertEqual(location_1.id, "1")
location_2: Location = sequence[1]
self.assertEqual(location_2.test.name, "Andreas")
self.assertEqual(location_2.unit.name, "Tommy2")
self.assertEqual(location_2.id, "2")
location_3: Location = sequence[2]
self.assertEqual(location_3.test.name, "Andreas")
self.assertEqual(location_3.unit.name, "Tommy2")
self.assertEqual(location_3.id, "3")
location_4: Location = sequence[3]
self.assertEqual(location_4.test.name, "Andreas")
self.assertEqual(location_4.unit.name, "Tommy3")
self.assertEqual(location_4.id, "4")
location_5: Location = sequence[4]
self.assertEqual(location_5.test.name, "Andreas")
self.assertEqual(location_5.unit.name, "Tommy2")
self.assertEqual(location_5.id, "5")
location_6: Location = sequence[5]
self.assertEqual(location_6.test.name, "Andreas")
self.assertEqual(location_6.unit.name, "Tommy1")
self.assertEqual(location_6.id, "6")
location_7: Location = sequence[6]
self.assertEqual(location_7.test.name, "Andreas")
self.assertEqual(location_7.unit.name, "Tommy4")
self.assertEqual(location_7.id, "7")
location_8: Location = sequence[7]
self.assertEqual(location_8.test.name, "Andreas")
self.assertEqual(location_8.unit.name, "Tommy5")
self.assertEqual(location_8.id, "8")
location_9: Location = sequence[8]
self.assertEqual(location_9.test.name, "Andreas")
self.assertEqual(location_9.unit.name, "Tommy4")
self.assertEqual(location_9.id, "9")
location_10: Location = sequence[9]
self.assertEqual(location_10.test.name, "Andreas")
self.assertEqual(location_10.unit.name, "Tommy1")
self.assertEqual(location_10.id, "10")
def test_trace_in_unit(self) -> None:
builder = TraceTreeBuilder()
trace = builder \
.start_test("Andreas") \
.start_unit("Tommy1") \
.enter_location("1") \
.start_unit("Tommy2") \
.enter_location("2") \
.enter_location("3") \
.start_unit("Tommy3") \
.enter_location("4") \
.end_unit() \
.enter_location("5") \
.end_unit() \
.enter_location("6") \
.start_unit("Tommy4") \
.enter_location("7") \
.start_unit("Tommy5") \
.enter_location("8") \
.end_unit() \
.enter_location("9") \
.end_unit() \
.enter_location("10") \
.end_unit() \
.end_test() \
.build()
actual = [ *trace.in_unit("Tommy1") ]
self.assertEqual(len(actual), 3)
location_1: Location = actual[0]
self.assertEqual(location_1.test.name, "Andreas")
self.assertEqual(location_1.unit.name, "Tommy1")
self.assertEqual(location_1.id, "1")
location_6: Location = actual[1]
self.assertEqual(location_6.test.name, "Andreas")
self.assertEqual(location_6.unit.name, "Tommy1")
self.assertEqual(location_6.id, "6")
location_10: Location = actual[2]
self.assertEqual(location_10.test.name, "Andreas")
self.assertEqual(location_10.unit.name, "Tommy1")
self.assertEqual(location_10.id, "10")
def test_parse_single_deferred_trace_no_unit_no_test(self) -> None:
parser = TraceParser(
TraceTreeBuilder()
)
lines_1 = [
"Location=1",
"Location=2"
]
lines_2 = [
"Location=3"
]
parser.parse(lines_1)
parser.parse(lines_2)
trace = parser.finish()
sequence = [ *trace.sequence ]
location_1 = sequence[0]
self.assertEqual(location_1.id, "1")
self.assertIsNone(location_1.test)
self.assertIsNone(location_1.unit)
location_2 = trace.sequence[1]
self.assertEqual(location_2.id, "2")
self.assertIsNone(location_2.test)
self.assertIsNone(location_2.unit)
location_3 = trace.sequence[2]
self.assertEqual(location_3.id, "3")
self.assertIsNone(location_3.test)
self.assertIsNone(location_3.unit)
def test_parse_invalid_input_stop_at_it(self) -> None:
parser = TraceParser(
TraceTreeBuilder()
)
lines = iter([
"Location=1",
"THIS IS AN ERROR",
"Location=2"
])
parser.parse(lines)
trace = parser.finish()
sequence = [ *trace.sequence ]
self.assertEqual(len(sequence), 1)
location_1 = sequence[0]
self.assertEqual(location_1.id, "1")
self.assertIsNone(location_1.test)
self.assertIsNone(location_1.unit)
def test_parse_trace_log(self) -> None:
parser = TraceParser(
TraceTreeBuilder()
)
lines = [
"BeginTest=Andreas",
"BeginUnit=Tommy1",
"Location=1",
"BeginUnit=Tommy2",
"Location=2",
"Location=3",
"BeginUnit=Tommy3",
"Location=4",
"EndUnit",
"Location=5",
"EndUnit",
"Location=6",
"BeginUnit=Tommy4",
"Location=7",
"BeginUnit=Tommy5",
"Location=8",
"EndUnit",
"Location=9",
"EndUnit",
"Location=10",
"EndUnit",
"EndTest",
]
parser.parse(lines)
trace = parser.finish()
sequence = [ *trace.sequence ]
sequence = [ *trace.sequence ]
self.assertEqual(len(sequence), 10)
location_1: Location = sequence[0]
self.assertEqual(location_1.test.name, "Andreas")
self.assertEqual(location_1.unit.name, "Tommy1")
self.assertEqual(location_1.id, "1")
location_2: Location = sequence[1]
self.assertEqual(location_2.test.name, "Andreas")
self.assertEqual(location_2.unit.name, "Tommy2")
self.assertEqual(location_2.id, "2")
location_3: Location = sequence[2]
self.assertEqual(location_3.test.name, "Andreas")
self.assertEqual(location_3.unit.name, "Tommy2")
self.assertEqual(location_3.id, "3")
location_4: Location = sequence[3]
self.assertEqual(location_4.test.name, "Andreas")
self.assertEqual(location_4.unit.name, "Tommy3")
self.assertEqual(location_4.id, "4")
location_5: Location = sequence[4]
self.assertEqual(location_5.test.name, "Andreas")
self.assertEqual(location_5.unit.name, "Tommy2")
self.assertEqual(location_5.id, "5")
location_6: Location = sequence[5]
self.assertEqual(location_6.test.name, "Andreas")
self.assertEqual(location_6.unit.name, "Tommy1")
self.assertEqual(location_6.id, "6")
location_7: Location = sequence[6]
self.assertEqual(location_7.test.name, "Andreas")
self.assertEqual(location_7.unit.name, "Tommy4")
self.assertEqual(location_7.id, "7")
location_8: Location = sequence[7]
self.assertEqual(location_8.test.name, "Andreas")
self.assertEqual(location_8.unit.name, "Tommy5")
self.assertEqual(location_8.id, "8")
location_9: Location = sequence[8]
self.assertEqual(location_9.test.name, "Andreas")
self.assertEqual(location_9.unit.name, "Tommy4")
self.assertEqual(location_9.id, "9")
location_10: Location = sequence[9]
self.assertEqual(location_10.test.name, "Andreas")
self.assertEqual(location_10.unit.name, "Tommy1")
self.assertEqual(location_10.id, "10") | 33.934177 | 85 | 0.572665 | 1,399 | 13,404 | 5.271623 | 0.057184 | 0.215593 | 0.283797 | 0.072136 | 0.866983 | 0.854373 | 0.811119 | 0.789966 | 0.778847 | 0.749424 | 0 | 0.034733 | 0.301925 | 13,404 | 395 | 86 | 33.934177 | 0.753447 | 0 | 0 | 0.772308 | 0 | 0 | 0.068557 | 0 | 0 | 0 | 0 | 0 | 0.36 | 1 | 0.033846 | false | 0 | 0.006154 | 0 | 0.043077 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 |
55197289750d58574cff3dd1b3654ef8bea5065d | 241 | py | Python | authentication/views/__init__.py | Mangeneh/akkaskhooneh-backend | 2a81e73fbe0d55d5821ba1670a997bd8851c4af6 | [
"MIT"
] | 7 | 2018-09-17T18:34:49.000Z | 2019-09-15T11:39:15.000Z | authentication/views/__init__.py | Mangeneh/akkaskhooneh-backend | 2a81e73fbe0d55d5821ba1670a997bd8851c4af6 | [
"MIT"
] | 9 | 2019-10-21T17:12:21.000Z | 2022-03-11T23:28:14.000Z | authentication/views/__init__.py | Mangeneh/akkaskhooneh-backend | 2a81e73fbe0d55d5821ba1670a997bd8851c4af6 | [
"MIT"
] | 1 | 2019-11-29T16:12:12.000Z | 2019-11-29T16:12:12.000Z | from .register_view_set import *
from .change_password_api_view import *
from .check_email_api_view import *
from .edit_profile_api_view import *
from .forgot_password import *
from .change_private_status_api_view import ChangePrivateStatus
| 34.428571 | 63 | 0.854772 | 35 | 241 | 5.428571 | 0.457143 | 0.263158 | 0.273684 | 0.268421 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.099585 | 241 | 6 | 64 | 40.166667 | 0.875576 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 8 |
9b3369ee2aa0ac00c39eb0e196dfd449ac7e601a | 11,520 | py | Python | src/abaqus/PredefinedField/FieldState.py | Haiiliin/PyAbaqus | f20db6ebea19b73059fe875a53be370253381078 | [
"MIT"
] | 7 | 2022-01-21T09:15:45.000Z | 2022-02-15T09:31:58.000Z | src/abaqus/PredefinedField/FieldState.py | Haiiliin/PyAbaqus | f20db6ebea19b73059fe875a53be370253381078 | [
"MIT"
] | null | null | null | src/abaqus/PredefinedField/FieldState.py | Haiiliin/PyAbaqus | f20db6ebea19b73059fe875a53be370253381078 | [
"MIT"
] | null | null | null | from abaqusConstants import *
from .PredefinedFieldState import PredefinedFieldState
class FieldState(PredefinedFieldState):
"""The FieldState object stores the propagating data of a field in a step. One instance of
this object is created internally by the Field object for each step.
The FieldState object has no constructor or methods.
The FieldState object is derived from the PredefinedFieldState object.
Attributes
----------
outputVariable: str
A String specifying the scalar nodal output variable that will be read from an output
database and used to initialize a specified predefined field. This argument is a
required argument if **distributionType=FROM_FILE** or
**distributionType=FROM_FILE_AND_USER_DEFINED**.
fileNameState: SymbolicConstant
A SymbolicConstant specifying the propagation state of the **fileName** member. Possible
values are UNSET, SET, and UNCHANGED.
beginStep: SymbolicConstant
A SymbolicConstant or an Int specifying the first step from which field values are to be
read. This argument is valid only when **distribution=FROM_FILE** or
**distribution=FROM_FILE_AND_USER_DEFINED**. Possible values are FIRST_STEP, LAST_STEP,
and NONE. The default value is NONE.
beginStepState: SymbolicConstant
A SymbolicConstant specifying the propagation state of the **beginStep** member. Possible
values are UNSET, SET, and UNCHANGED.
beginIncrement: SymbolicConstant
None or an Int specifying the first increment of the step set in **beginStep** or the
SymbolicConstants STEP_START or STEP_END. This argument is valid only when
**distributionType=FROM_FILE** or **distributionType=FROM_FILE_AND_USER_DEFINED**. The
default value is None.
beginIncrementState: SymbolicConstant
A SymbolicConstant specifying the propagation state of the **beginIncrement** member.
Possible values are UNSET, SET, and UNCHANGED.
endStep: SymbolicConstant
None or an Int specifying the last step from which field values are to be read or the
SymbolicConstants FIRST_STEP and LAST_STEP. This argument is valid only when
**distributionType=FROM_FILE** or **distributionType=FROM_FILE_AND_USER_DEFINED**. The
default value is None.
endStepState: SymbolicConstant
A SymbolicConstant specifying the propagation state of the **endStep** member. Possible
values are UNSET, SET, and UNCHANGED.
endIncrement: SymbolicConstant
None or an Int specifying the last increment of the step set in **endStep** or the
SymbolicConstants STEP_START and STEP_END. This argument is valid only when
**distributionType=FROM_FILE** or **distributionType=FROM_FILE_AND_USER_DEFINED**. The
default value is None.
endIncrementState: SymbolicConstant
A SymbolicConstant specifying the propagation state of the **endIncrement** member.
Possible values are UNSET, SET, and UNCHANGED.
amplitudeState: SymbolicConstant
A SymbolicConstant specifying the propagation state of the **amplitudeState** member.
Possible values are UNSET, SET, and UNCHANGED.
fileName: str
A String specifying the name of the file from which the field values are to be read when
**distributionType=FROM_FILE** or **distributionType=FROM_FILE_AND_USER_DEFINED**.
amplitude: SymbolicConstant
The SymbolicConstant UNSET or a String specifying the name of the amplitude reference.
The SymbolicConstant UNSET should be used if the predefined field has no amplitude
reference. The default value is UNSET.Note: **amplitude** should be given only if it is
valid for the specified step.
magnitudesState: SymbolicConstant
A tuple of SymbolicConstants specifying the propagation state of each item of the
**magnitudes** member. Possible values are UNSET, SET, and UNCHANGED.
magnitudes: tuple
A tuple of Floats specifying the field values when **distributionType=UNIFORM** or
**distributionType=FIELD**. The value of the **magnitudes** argument is a function of the
**crossSectionDistribution** argument, as shown in the following list:
- If **crossSectionDistribution=CONSTANT_THROUGH_THICKNESS**, **magnitudes** is a Double
specifying the field.
- If **crossSectionDistribution=GRADIENTS_THROUGH_SHELL_CS**, **magnitudes** is a sequence
of Doubles specifying the mean value and the gradient in the thickness direction.
- If **crossSectionDistribution=GRADIENTS_THROUGH_BEAM_CS**, **magnitudes** is a sequence of
Doubles specifying the mean value, the gradient in the N1 direction, and the gradient in
the N2 direction.
- If **crossSectionDistribution=POINTS_THROUGH_SECTION**, **magnitudes** is a sequence of
Doubles specifying the field at each point.
status: SymbolicConstant
A SymbolicConstant specifying the propagation state of the :py:class:`~abaqus.PredefinedField.:py:class:`~abaqus.PredefinedField.PredefinedFieldState.PredefinedFieldState`.:py:class:`~abaqus.PredefinedField.PredefinedFieldState.PredefinedFieldState`` object.
Possible values are:
- NOT_YET_ACTIVE
- CREATED
- PROPAGATED
- MODIFIED
- DEACTIVATED
- DEACTIVATED_TO_INITIAL
- NO_LONGER_ACTIVE
- RESET_TO_INITIAL
- TO_BE_COMPUTED
- PROPAGATED_FROM_COMPUTED
- BUILT_INTO_BASE_STATE
- TYPE_NOT_APPLICABLE
- INSTANCE_NOT_APPLICABLE
This member exists in all :py:class:`~abaqus.PredefinedField.:py:class:`~abaqus.PredefinedField.PredefinedFieldState.PredefinedFieldState`.:py:class:`~abaqus.PredefinedField.PredefinedFieldState.PredefinedFieldState`` objects, but different predefined fields
use different subsets of the entire list of possible values depending on propagation
rules.
Notes
-----
This object can be accessed by:
.. code-block:: python
import load
mdb.models[name].steps[name].predefinedFieldStates[name]
"""
# A String specifying the scalar nodal output variable that will be read from an output
# database and used to initialize a specified predefined field. This argument is a
# required argument if *distributionType*=FROM_FILE or
# *distributionType*=FROM_FILE_AND_USER_DEFINED.
outputVariable: str = ''
# A SymbolicConstant specifying the propagation state of the *fileName* member. Possible
# values are UNSET, SET, and UNCHANGED.
fileNameState: SymbolicConstant = None
# A SymbolicConstant or an Int specifying the first step from which field values are to be
# read. This argument is valid only when *distribution*=FROM_FILE or
# *distribution*=FROM_FILE_AND_USER_DEFINED. Possible values are FIRST_STEP, LAST_STEP,
# and NONE. The default value is NONE.
beginStep: SymbolicConstant = NONE
# A SymbolicConstant specifying the propagation state of the *beginStep* member. Possible
# values are UNSET, SET, and UNCHANGED.
beginStepState: SymbolicConstant = None
# None or an Int specifying the first increment of the step set in *beginStep* or the
# SymbolicConstants STEP_START or STEP_END. This argument is valid only when
# *distributionType*=FROM_FILE or *distributionType*=FROM_FILE_AND_USER_DEFINED. The
# default value is None.
beginIncrement: SymbolicConstant = None
# A SymbolicConstant specifying the propagation state of the *beginIncrement* member.
# Possible values are UNSET, SET, and UNCHANGED.
beginIncrementState: SymbolicConstant = None
# None or an Int specifying the last step from which field values are to be read or the
# SymbolicConstants FIRST_STEP and LAST_STEP. This argument is valid only when
# *distributionType*=FROM_FILE or *distributionType*=FROM_FILE_AND_USER_DEFINED. The
# default value is None.
endStep: SymbolicConstant = None
# A SymbolicConstant specifying the propagation state of the *endStep* member. Possible
# values are UNSET, SET, and UNCHANGED.
endStepState: SymbolicConstant = None
# None or an Int specifying the last increment of the step set in *endStep* or the
# SymbolicConstants STEP_START and STEP_END. This argument is valid only when
# *distributionType*=FROM_FILE or *distributionType*=FROM_FILE_AND_USER_DEFINED. The
# default value is None.
endIncrement: SymbolicConstant = None
# A SymbolicConstant specifying the propagation state of the *endIncrement* member.
# Possible values are UNSET, SET, and UNCHANGED.
endIncrementState: SymbolicConstant = None
# A SymbolicConstant specifying the propagation state of the *amplitudeState* member.
# Possible values are UNSET, SET, and UNCHANGED.
amplitudeState: SymbolicConstant = None
# A String specifying the name of the file from which the field values are to be read when
# *distributionType*=FROM_FILE or *distributionType*=FROM_FILE_AND_USER_DEFINED.
fileName: str = ''
# The SymbolicConstant UNSET or a String specifying the name of the amplitude reference.
# The SymbolicConstant UNSET should be used if the predefined field has no amplitude
# reference. The default value is UNSET.Note: *amplitude* should be given only if it is
# valid for the specified step.
amplitude: SymbolicConstant = UNSET
# A tuple of SymbolicConstants specifying the propagation state of each item of the
# *magnitudes* member. Possible values are UNSET, SET, and UNCHANGED.
magnitudesState: SymbolicConstant = None
# A tuple of Floats specifying the field values when *distributionType*=UNIFORM or
# *distributionType*=FIELD. The value of the *magnitudes* argument is a function of the
# *crossSectionDistribution* argument, as shown in the following list:
# - If *crossSectionDistribution*=CONSTANT_THROUGH_THICKNESS, *magnitudes* is a Double
# specifying the field.
# - If *crossSectionDistribution*=GRADIENTS_THROUGH_SHELL_CS, *magnitudes* is a sequence
# of Doubles specifying the mean value and the gradient in the thickness direction.
# - If *crossSectionDistribution*=GRADIENTS_THROUGH_BEAM_CS, *magnitudes* is a sequence of
# Doubles specifying the mean value, the gradient in the N1 direction, and the gradient in
# the N2 direction.
# - If *crossSectionDistribution*=POINTS_THROUGH_SECTION, *magnitudes* is a sequence of
# Doubles specifying the field at each point.
magnitudes: tuple = ()
# A SymbolicConstant specifying the propagation state of the PredefinedFieldState object.
# Possible values are:
# - NOT_YET_ACTIVE
# - CREATED
# - PROPAGATED
# - MODIFIED
# - DEACTIVATED
# - DEACTIVATED_TO_INITIAL
# - NO_LONGER_ACTIVE
# - RESET_TO_INITIAL
# - TO_BE_COMPUTED
# - PROPAGATED_FROM_COMPUTED
# - BUILT_INTO_BASE_STATE
# - TYPE_NOT_APPLICABLE
# - INSTANCE_NOT_APPLICABLE
# This member exists in all PredefinedFieldState objects, but different predefined fields
# use different subsets of the entire list of possible values depending on propagation
# rules.
status: SymbolicConstant = None
| 54.339623 | 266 | 0.727517 | 1,384 | 11,520 | 5.958815 | 0.126445 | 0.063053 | 0.058203 | 0.056263 | 0.883473 | 0.882745 | 0.882745 | 0.880805 | 0.868316 | 0.845641 | 0 | 0.000444 | 0.217535 | 11,520 | 211 | 267 | 54.597156 | 0.914466 | 0.860503 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.105263 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |
9b8677b5c9b93883984d9605a1f63c4af159aa63 | 2,511 | py | Python | shabanipy/quantum_hall/wal/universal/utils.py | ShabaniLab/DataAnalysis | e234b7d0e4ff8ecc11e58134e6309a095abcd2c0 | [
"MIT"
] | null | null | null | shabanipy/quantum_hall/wal/universal/utils.py | ShabaniLab/DataAnalysis | e234b7d0e4ff8ecc11e58134e6309a095abcd2c0 | [
"MIT"
] | null | null | null | shabanipy/quantum_hall/wal/universal/utils.py | ShabaniLab/DataAnalysis | e234b7d0e4ff8ecc11e58134e6309a095abcd2c0 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright 2020 by ShabaniPy Authors, see AUTHORS for more details.
#
# Distributed under the terms of the MIT license.
#
# The full license is in the file LICENCE, distributed with this software.
# -----------------------------------------------------------------------------
"""Utility conversion functions.
"""
import scipy.constants as cs
def linear_soi_to_linear_theta(soi: float, kf: float, t_free: float) -> float:
"""Convert a linear SOI term to an angle per unit of mean free path.
Parameters
----------
soi : float
SOI in SI units.
kf : float
Fermi wave vector SI units.
t_free : float
Mean free time in SI units.
Returns
-------
float
SOI as an angle describing the induced rotation per unit of the mean free path.
"""
return soi * (2 * kf * t_free / cs.hbar)
def linear_theta_to_linear_soi(theta: float, kf: float, t_free: float) -> float:
"""Convert an angle per unit of mean free path into a linear SOI term.
Parameters
----------
theta : float
SOI as an angle describing the induced rotation per unit of the mean free path.
kf : float
Fermi wave vector SI units.
t_free : float
Mean free time in SI units.
Returns
-------
float
SOI in SI units.
"""
return theta / (2 * kf * t_free / cs.hbar)
def cubic_soi_to_cubic_theta(soi: float, kf: float, t_free: float) -> float:
"""Convert a cubic SOI term to an angle per unit of mean free path.
Parameters
----------
soi : float
Cubic SOI in SI units.
kf : float
Fermi wave vector SI units.
t_free : float
Mean free time in SI units.
Returns
-------
float
SOI as an angle describing the induced rotation per unit of the mean free path.
"""
return soi * (2 * kf ** 3 * t_free / cs.hbar)
def cubic_theta_to_cubic_soi(theta: float, kf: float, t_free: float) -> float:
"""Convert an angle per unit of mean free path into a cubic SOI term.
Parameters
----------
theta : float
SOI as an angle describing the induced rotation per unit of the mean free path.
kf : float
Fermi wave vector SI units.
t_free : float
Mean free time in SI units.
Returns
-------
float
SOI in SI units.
"""
return theta / (2 * kf ** 3 * t_free / cs.hbar)
| 25.886598 | 87 | 0.57268 | 348 | 2,511 | 4.051724 | 0.201149 | 0.042553 | 0.056738 | 0.036879 | 0.786525 | 0.786525 | 0.777305 | 0.740426 | 0.740426 | 0.740426 | 0 | 0.006054 | 0.276384 | 2,511 | 96 | 88 | 26.15625 | 0.76995 | 0.670649 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.444444 | false | 0 | 0.111111 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7 |
fd503904323b78ee6db740c0405f22f145d284a2 | 100 | py | Python | 01_Language/01_Functions/python/max_func.py | cliff363825/TwentyFour | 09df59bd5d275e66463e343647f46027397d1233 | [
"MIT"
] | 3 | 2020-06-28T07:42:51.000Z | 2021-01-15T10:32:11.000Z | 01_Language/01_Functions/python/max_func.py | cliff363825/TwentyFour | 09df59bd5d275e66463e343647f46027397d1233 | [
"MIT"
] | 9 | 2021-03-10T22:45:40.000Z | 2022-02-27T06:53:20.000Z | 01_Language/01_Functions/python/max_func.py | cliff363825/TwentyFour | 09df59bd5d275e66463e343647f46027397d1233 | [
"MIT"
] | 1 | 2021-01-15T10:51:24.000Z | 2021-01-15T10:51:24.000Z | # coding: utf-8
if __name__ == '__main__':
print(max(2, 3, 1, 6, 7))
print(max([2, 4, 5]))
| 16.666667 | 29 | 0.52 | 18 | 100 | 2.444444 | 0.833333 | 0.363636 | 0.409091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.118421 | 0.24 | 100 | 5 | 30 | 20 | 0.460526 | 0.13 | 0 | 0 | 0 | 0 | 0.094118 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0.666667 | 1 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 |
fd5f4134672a3450eeed440b36c99e61db8b6635 | 7,488 | py | Python | cinchfs_test.py | jkrentz/cinchfs | cb0b9a44488e5080bd79c39d28ab4ac388090d0b | [
"MIT"
] | 1 | 2019-12-04T20:49:01.000Z | 2019-12-04T20:49:01.000Z | cinchfs_test.py | jkrentz/cinchfs | cb0b9a44488e5080bd79c39d28ab4ac388090d0b | [
"MIT"
] | null | null | null | cinchfs_test.py | jkrentz/cinchfs | cb0b9a44488e5080bd79c39d28ab4ac388090d0b | [
"MIT"
] | 1 | 2020-09-22T19:35:21.000Z | 2020-09-22T19:35:21.000Z | #!/usr/bin/env python3
import pytest
import os
from cinchfs import Filesystem, DuplicatePathException
class TestStartup(object):
def test_constructor_empty_filesystem_succeeds(self, fs):
fs.add_mount_point("/disk0")
fs.add_mount_point("/disk1")
Filesystem(["/disk0", "/disk1"], "/cfsroot")
pass # no exception
def test_constructor_no_collisions_succeeds(self, fs):
fs.add_mount_point("/disk0")
fs.add_mount_point("/disk1")
fs.create_file("/disk0/dir0/test")
fs.create_file("/disk1/dir1/test")
Filesystem(["/disk0", "/disk1"], "/cfsroot")
pass # no exception
def test_constructor_file_collision_fails(self, fs):
fs.add_mount_point("/disk0")
fs.add_mount_point("/disk1")
fs.create_file("/disk0/test")
fs.create_file("/disk1/test")
with pytest.raises(DuplicatePathException):
assert Filesystem(["/disk0", "/disk1"], "/cfsroot")
def test_constructor_dir_collision_fails(self, fs):
fs.add_mount_point("/disk0")
fs.add_mount_point("/disk1")
fs.create_dir("/disk0/dir")
fs.create_dir("/disk1/dir")
with pytest.raises(DuplicatePathException):
assert Filesystem(["/disk0", "/disk1"], "/cfsroot")
class TestFullPath(object):
def test_fullpath_single_empty_source_root(self, fs, monkeypatch):
monkeypatch.setattr(Filesystem, "_get_free_blocks", { "/disk0": 50 }.get)
fs.add_mount_point("/disk0")
cfs = Filesystem(["/disk0"], "/cfsroot")
assert cfs._full_path("/") == "/disk0/"
def test_fullpath_multiple_empty_sources_root_uses_first_source(self, fs, monkeypatch):
monkeypatch.setattr(Filesystem, "_get_free_blocks", { "/disk0": 50, "/disk1": 100 }.get)
fs.add_mount_point("/disk0")
fs.add_mount_point("/disk1")
cfs = Filesystem(["/disk0", "/disk1"], "/cfsroot")
assert cfs._full_path("/") == "/disk0/"
def test_fullpath_single_empty_source_new_file(self, fs, monkeypatch):
monkeypatch.setattr(Filesystem, "_get_free_blocks", { "/disk0": 50 }.get)
fs.add_mount_point("/disk0")
cfs = Filesystem(["/disk0"], "/cfsroot")
assert cfs._full_path("/test") == "/disk0/test"
def test_fullpath_single_empty_source_new_file_in_directory(self, fs, monkeypatch):
monkeypatch.setattr(Filesystem, "_get_free_blocks", { "/disk0": 50 }.get)
fs.add_mount_point("/disk0")
cfs = Filesystem(["/disk0"], "/cfsroot")
assert cfs._full_path("/dir/test") == "/disk0/dir/test"
def test_fullpath_single_empty_source_new_dir(self, fs, monkeypatch):
monkeypatch.setattr(Filesystem, "_get_free_blocks", { "/disk0": 50 }.get)
fs.add_mount_point("/disk0")
cfs = Filesystem(["/disk0"], "/cfsroot")
assert cfs._full_path("/dir/") == "/disk0/dir/"
def test_fullpath_multiple_empty_sources_new_file_uses_first_source(self, fs, monkeypatch):
monkeypatch.setattr(Filesystem, "_get_free_blocks", { "/disk0": 50, "/disk1": 50 }.get)
fs.add_mount_point("/disk0")
fs.add_mount_point("/disk1")
cfs = Filesystem(["/disk0", "/disk1"], "/cfsroot")
assert cfs._full_path("/test") == "/disk0/test"
def test_fullpath_multiple_empty_sources_new_file_in_directory_uses_first_source(self, fs, monkeypatch):
monkeypatch.setattr(Filesystem, "_get_free_blocks", { "/disk0": 50, "/disk1": 50 }.get)
fs.add_mount_point("/disk0")
fs.add_mount_point("/disk1")
cfs = Filesystem(["/disk0", "/disk1"], "/cfsroot")
assert cfs._full_path("/dir/test") == "/disk0/dir/test"
def test_fullpath_multiple_empty_sources_new_dir_uses_first_source(self, fs, monkeypatch):
monkeypatch.setattr(Filesystem, "_get_free_blocks", { "/disk0": 50, "/disk1": 50 }.get)
fs.add_mount_point("/disk0")
fs.add_mount_point("/disk1")
cfs = Filesystem(["/disk0", "/disk1"], "/cfsroot")
assert cfs._full_path("/dir/") == "/disk0/dir/"
def test_fullpath_single_source_file_exists(self, fs):
fs.create_file("/disk0/test")
cfs = Filesystem(["/disk0"], "/cfsroot")
assert cfs._full_path("/test") == "/disk0/test"
def test_fullpath_single_source_file_exists_in_directory(self, fs):
fs.create_file("/disk0/dir/test")
cfs = Filesystem(["/disk0"], "/cfsroot")
assert cfs._full_path("/dir/test") == "/disk0/dir/test"
def test_fullpath_single_source_directory_exists(self, fs):
fs.create_dir("/disk0/dir/")
cfs = Filesystem(["/disk0"], "/cfsroot")
assert cfs._full_path("/dir/") == "/disk0/dir/"
def test_fullpath_multiple_source_file_exists_uses_existing_file(self, fs):
fs.create_dir("/disk0")
fs.create_file("/disk1/test")
cfs = Filesystem(["/disk0", "/disk1"], "/cfsroot")
assert cfs._full_path("/test") == "/disk1/test"
def test_fullpath_multiple_source_file_exists_in_directory_uses_existing_fil(self, fs):
fs.create_dir("/disk0")
fs.create_file("/disk1/dir/test")
cfs = Filesystem(["/disk0", "/disk1"], "/cfsroot")
assert cfs._full_path("/dir/test") == "/disk1/dir/test"
def test_fullpath_multiple_source_directory_exists_uses_existing_directory(self, fs):
fs.create_dir("/disk0")
fs.create_dir("/disk1/dir/")
cfs = Filesystem(["/disk0", "/disk1"], "/cfsroot")
assert cfs._full_path("/dir/") == "/disk1/dir/"
def test_fullpath_multiple_sources_new_file_uses_most_free_space_source(self, fs, monkeypatch):
monkeypatch.setattr(Filesystem, "_get_free_blocks", { "/disk0": 50, "/disk1": 100 }.get)
fs.add_mount_point("/disk0", 50)
fs.add_mount_point("/disk1", 100)
cfs = Filesystem(["/disk0", "/disk1"], "/cfsroot")
assert cfs._full_path("/test") == "/disk1/test"
def test_fullpath_multiple_empty_sources_new_file_in_directory_uses_the_existing_directory_source(self, fs, monkeypatch):
# disk1 has more free space, but prefer the existing dir on disk0
monkeypatch.setattr(Filesystem, "_get_free_blocks", { "/disk0": 50, "/disk1": 100 }.get)
fs.add_mount_point("/disk0", 50)
fs.add_mount_point("/disk1", 100)
fs.create_dir("/disk0/dir")
cfs = Filesystem(["/disk0", "/disk1"], "/cfsroot")
assert cfs._full_path("/dir/test") == "/disk0/dir/test"
def test_fullpath_multiple_empty_sources_new_file_in_subdirectory_uses_the_existing_base_directory_source(self, fs, monkeypatch):
# disk1 has more free space, but prefer the existing base dir on disk0
monkeypatch.setattr(Filesystem, "_get_free_blocks", { "/disk0": 50, "/disk1": 100 }.get)
fs.add_mount_point("/disk0", 50)
fs.add_mount_point("/disk1", 100)
fs.create_dir("/disk0/basedir/dir")
cfs = Filesystem(["/disk0", "/disk1"], "/cfsroot")
assert cfs._full_path("/basedir/dir/test") == "/disk0/basedir/dir/test"
def test_fullpath_multiple_empty_sources_new_dir_uses_most_free_space_source(self, fs, monkeypatch):
monkeypatch.setattr(Filesystem, "_get_free_blocks", { "/disk0": 50, "/disk1": 100 }.get)
fs.add_mount_point("/disk0", 50)
fs.add_mount_point("/disk1", 100)
cfs = Filesystem(["/disk0", "/disk1"], "/cfsroot")
assert cfs._full_path("/dir/") == "/disk1/dir/"
| 46.8 | 133 | 0.650374 | 923 | 7,488 | 4.936078 | 0.083424 | 0.030729 | 0.061457 | 0.092186 | 0.912423 | 0.8795 | 0.847454 | 0.83209 | 0.804873 | 0.763169 | 0 | 0.031667 | 0.190304 | 7,488 | 159 | 134 | 47.09434 | 0.719776 | 0.024038 | 0 | 0.710938 | 0 | 0 | 0.192824 | 0.00315 | 0 | 0 | 0 | 0 | 0.15625 | 1 | 0.171875 | false | 0.015625 | 0.023438 | 0 | 0.210938 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
b5d39952092f72e9d9af0688d994963959d2bbfe | 13,741 | py | Python | decafAlejandroV2Listener.py | tej17584/compis_proyecto3 | 34bdb60161a7b396d2ad21a437394c18b7dcdb24 | [
"MIT"
] | null | null | null | decafAlejandroV2Listener.py | tej17584/compis_proyecto3 | 34bdb60161a7b396d2ad21a437394c18b7dcdb24 | [
"MIT"
] | null | null | null | decafAlejandroV2Listener.py | tej17584/compis_proyecto3 | 34bdb60161a7b396d2ad21a437394c18b7dcdb24 | [
"MIT"
] | null | null | null | # Generated from decafAlejandroV2.g4 by ANTLR 4.9.2
from antlr4 import *
if __name__ is not None and "." in __name__:
from .decafAlejandroV2Parser import decafAlejandroV2Parser
else:
from decafAlejandroV2Parser import decafAlejandroV2Parser
# This class defines a complete listener for a parse tree produced by decafAlejandroV2Parser.
class decafAlejandroV2Listener(ParseTreeListener):
# Enter a parse tree produced by decafAlejandroV2Parser#program.
def enterProgram(self, ctx:decafAlejandroV2Parser.ProgramContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#program.
def exitProgram(self, ctx:decafAlejandroV2Parser.ProgramContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#declaration.
def enterDeclaration(self, ctx:decafAlejandroV2Parser.DeclarationContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#declaration.
def exitDeclaration(self, ctx:decafAlejandroV2Parser.DeclarationContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#vardeclr.
def enterVardeclr(self, ctx:decafAlejandroV2Parser.VardeclrContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#vardeclr.
def exitVardeclr(self, ctx:decafAlejandroV2Parser.VardeclrContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#field_declr.
def enterField_declr(self, ctx:decafAlejandroV2Parser.Field_declrContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#field_declr.
def exitField_declr(self, ctx:decafAlejandroV2Parser.Field_declrContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#array_id.
def enterArray_id(self, ctx:decafAlejandroV2Parser.Array_idContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#array_id.
def exitArray_id(self, ctx:decafAlejandroV2Parser.Array_idContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#field_var.
def enterField_var(self, ctx:decafAlejandroV2Parser.Field_varContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#field_var.
def exitField_var(self, ctx:decafAlejandroV2Parser.Field_varContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#var_id.
def enterVar_id(self, ctx:decafAlejandroV2Parser.Var_idContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#var_id.
def exitVar_id(self, ctx:decafAlejandroV2Parser.Var_idContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#struct_declr.
def enterStruct_declr(self, ctx:decafAlejandroV2Parser.Struct_declrContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#struct_declr.
def exitStruct_declr(self, ctx:decafAlejandroV2Parser.Struct_declrContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#method_declr.
def enterMethod_declr(self, ctx:decafAlejandroV2Parser.Method_declrContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#method_declr.
def exitMethod_declr(self, ctx:decafAlejandroV2Parser.Method_declrContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#return_type.
def enterReturn_type(self, ctx:decafAlejandroV2Parser.Return_typeContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#return_type.
def exitReturn_type(self, ctx:decafAlejandroV2Parser.Return_typeContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#block.
def enterBlock(self, ctx:decafAlejandroV2Parser.BlockContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#block.
def exitBlock(self, ctx:decafAlejandroV2Parser.BlockContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#statement_assign.
def enterStatement_assign(self, ctx:decafAlejandroV2Parser.Statement_assignContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#statement_assign.
def exitStatement_assign(self, ctx:decafAlejandroV2Parser.Statement_assignContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#statement_methodcall.
def enterStatement_methodcall(self, ctx:decafAlejandroV2Parser.Statement_methodcallContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#statement_methodcall.
def exitStatement_methodcall(self, ctx:decafAlejandroV2Parser.Statement_methodcallContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#statement_if.
def enterStatement_if(self, ctx:decafAlejandroV2Parser.Statement_ifContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#statement_if.
def exitStatement_if(self, ctx:decafAlejandroV2Parser.Statement_ifContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#statement_while.
def enterStatement_while(self, ctx:decafAlejandroV2Parser.Statement_whileContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#statement_while.
def exitStatement_while(self, ctx:decafAlejandroV2Parser.Statement_whileContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#statement_return.
def enterStatement_return(self, ctx:decafAlejandroV2Parser.Statement_returnContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#statement_return.
def exitStatement_return(self, ctx:decafAlejandroV2Parser.Statement_returnContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#statement_for.
def enterStatement_for(self, ctx:decafAlejandroV2Parser.Statement_forContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#statement_for.
def exitStatement_for(self, ctx:decafAlejandroV2Parser.Statement_forContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#statement_break.
def enterStatement_break(self, ctx:decafAlejandroV2Parser.Statement_breakContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#statement_break.
def exitStatement_break(self, ctx:decafAlejandroV2Parser.Statement_breakContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#method_call.
def enterMethod_call(self, ctx:decafAlejandroV2Parser.Method_callContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#method_call.
def exitMethod_call(self, ctx:decafAlejandroV2Parser.Method_callContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#expr_literal.
def enterExpr_literal(self, ctx:decafAlejandroV2Parser.Expr_literalContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#expr_literal.
def exitExpr_literal(self, ctx:decafAlejandroV2Parser.Expr_literalContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#expr_location.
def enterExpr_location(self, ctx:decafAlejandroV2Parser.Expr_locationContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#expr_location.
def exitExpr_location(self, ctx:decafAlejandroV2Parser.Expr_locationContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#expr_PrecedenciaMax.
def enterExpr_PrecedenciaMax(self, ctx:decafAlejandroV2Parser.Expr_PrecedenciaMaxContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#expr_PrecedenciaMax.
def exitExpr_PrecedenciaMax(self, ctx:decafAlejandroV2Parser.Expr_PrecedenciaMaxContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#expr_menos.
def enterExpr_menos(self, ctx:decafAlejandroV2Parser.Expr_menosContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#expr_menos.
def exitExpr_menos(self, ctx:decafAlejandroV2Parser.Expr_menosContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#expr_normal.
def enterExpr_normal(self, ctx:decafAlejandroV2Parser.Expr_normalContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#expr_normal.
def exitExpr_normal(self, ctx:decafAlejandroV2Parser.Expr_normalContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#expr_PrecedenciaMenor.
def enterExpr_PrecedenciaMenor(self, ctx:decafAlejandroV2Parser.Expr_PrecedenciaMenorContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#expr_PrecedenciaMenor.
def exitExpr_PrecedenciaMenor(self, ctx:decafAlejandroV2Parser.Expr_PrecedenciaMenorContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#expr_parentesis.
def enterExpr_parentesis(self, ctx:decafAlejandroV2Parser.Expr_parentesisContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#expr_parentesis.
def exitExpr_parentesis(self, ctx:decafAlejandroV2Parser.Expr_parentesisContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#expr_methodCall.
def enterExpr_methodCall(self, ctx:decafAlejandroV2Parser.Expr_methodCallContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#expr_methodCall.
def exitExpr_methodCall(self, ctx:decafAlejandroV2Parser.Expr_methodCallContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#expr_negacion.
def enterExpr_negacion(self, ctx:decafAlejandroV2Parser.Expr_negacionContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#expr_negacion.
def exitExpr_negacion(self, ctx:decafAlejandroV2Parser.Expr_negacionContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#location.
def enterLocation(self, ctx:decafAlejandroV2Parser.LocationContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#location.
def exitLocation(self, ctx:decafAlejandroV2Parser.LocationContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#int_literal.
def enterInt_literal(self, ctx:decafAlejandroV2Parser.Int_literalContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#int_literal.
def exitInt_literal(self, ctx:decafAlejandroV2Parser.Int_literalContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#string_literal.
def enterString_literal(self, ctx:decafAlejandroV2Parser.String_literalContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#string_literal.
def exitString_literal(self, ctx:decafAlejandroV2Parser.String_literalContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#bool_literal.
def enterBool_literal(self, ctx:decafAlejandroV2Parser.Bool_literalContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#bool_literal.
def exitBool_literal(self, ctx:decafAlejandroV2Parser.Bool_literalContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#rel_op.
def enterRel_op(self, ctx:decafAlejandroV2Parser.Rel_opContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#rel_op.
def exitRel_op(self, ctx:decafAlejandroV2Parser.Rel_opContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#eq_op.
def enterEq_op(self, ctx:decafAlejandroV2Parser.Eq_opContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#eq_op.
def exitEq_op(self, ctx:decafAlejandroV2Parser.Eq_opContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#cond_op.
def enterCond_op(self, ctx:decafAlejandroV2Parser.Cond_opContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#cond_op.
def exitCond_op(self, ctx:decafAlejandroV2Parser.Cond_opContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#literal.
def enterLiteral(self, ctx:decafAlejandroV2Parser.LiteralContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#literal.
def exitLiteral(self, ctx:decafAlejandroV2Parser.LiteralContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#arith_op.
def enterArith_op(self, ctx:decafAlejandroV2Parser.Arith_opContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#arith_op.
def exitArith_op(self, ctx:decafAlejandroV2Parser.Arith_opContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#var_type.
def enterVar_type(self, ctx:decafAlejandroV2Parser.Var_typeContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#var_type.
def exitVar_type(self, ctx:decafAlejandroV2Parser.Var_typeContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#assign_op.
def enterAssign_op(self, ctx:decafAlejandroV2Parser.Assign_opContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#assign_op.
def exitAssign_op(self, ctx:decafAlejandroV2Parser.Assign_opContext):
pass
# Enter a parse tree produced by decafAlejandroV2Parser#method_name.
def enterMethod_name(self, ctx:decafAlejandroV2Parser.Method_nameContext):
pass
# Exit a parse tree produced by decafAlejandroV2Parser#method_name.
def exitMethod_name(self, ctx:decafAlejandroV2Parser.Method_nameContext):
pass
del decafAlejandroV2Parser | 36.938172 | 98 | 0.770541 | 1,451 | 13,741 | 7.15093 | 0.099931 | 0.046839 | 0.078065 | 0.140517 | 0.892251 | 0.84734 | 0.843292 | 0.541538 | 0.491133 | 0 | 0 | 0.015277 | 0.175897 | 13,741 | 372 | 99 | 36.938172 | 0.901007 | 0.393494 | 0 | 0.479042 | 1 | 0 | 0.000122 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.479042 | false | 0.479042 | 0.017964 | 0 | 0.502994 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 |
b5e6ea4206029a373a52773d84033d9786565d27 | 187 | py | Python | test_so.py | MaxChangInnodisk/py2so | 367da6a0a371da71489e24c055aedf869cbdec6a | [
"MIT"
] | null | null | null | test_so.py | MaxChangInnodisk/py2so | 367da6a0a371da71489e24c055aedf869cbdec6a | [
"MIT"
] | 1 | 2022-03-08T09:43:52.000Z | 2022-03-08T09:43:52.000Z | test_so.py | MaxChangInnodisk/py2so | 367da6a0a371da71489e24c055aedf869cbdec6a | [
"MIT"
] | 1 | 2022-03-08T09:29:44.000Z | 2022-03-08T09:29:44.000Z | import out.foo.print_me as foo_print_me
import out.bar.print_me as bar_print_me
import out.bar.barbar.print_me as barbar_print_me
foo_print_me.do()
bar_print_me.do()
barbar_print_me.do() | 26.714286 | 49 | 0.834225 | 40 | 187 | 3.525 | 0.225 | 0.446809 | 0.212766 | 0.22695 | 0.269504 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.080214 | 187 | 7 | 50 | 26.714286 | 0.819767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 1 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 7 |
b5f993bf9d9738d3667aa38e186c43fdb955a139 | 5,769 | py | Python | test/unit/test_api_gateways.py | comtravo/grafana-dashboards | cd0e6f46408aebd2941ae4abc5b94e45124006a2 | [
"MIT"
] | 8 | 2020-12-09T13:14:53.000Z | 2022-01-29T01:56:30.000Z | test/unit/test_api_gateways.py | comtravo/grafana-dashboards | cd0e6f46408aebd2941ae4abc5b94e45124006a2 | [
"MIT"
] | 4 | 2021-02-24T08:49:14.000Z | 2022-01-22T18:17:32.000Z | test/unit/test_api_gateways.py | comtravo/grafana-dashboards | cd0e6f46408aebd2941ae4abc5b94e45124006a2 | [
"MIT"
] | null | null | null | from grafanalib.core import (
Alert,
Dashboard,
Graph,
Target,
Annotations,
Templating,
)
from grafanalib.cloudwatch import CloudwatchMetricsTarget
from lib.api_gateways import (
generate_api_gateway_requests_graph,
generate_api_gateways_dashboard,
)
class TestAPIGatewayDashboards:
def test_should_generate_proper_api_gateway_requests_graph(self):
apig_name = "apig-1"
cloudwatch_data_source = "prod"
lambda_insights_namespace = "insights"
notifications = []
targets = [
CloudwatchMetricsTarget(
alias="5xx",
namespace="AWS/ApiGateway",
statistics=["Sum"],
metricName="5XXError",
dimensions={"ApiName": apig_name},
refId="A",
),
CloudwatchMetricsTarget(
alias="requests",
namespace="AWS/ApiGateway",
dimensions={"ApiName": apig_name},
statistics=["Sum"],
metricName="Count",
refId="B",
),
CloudwatchMetricsTarget(
alias="requests",
namespace="AWS/ApiGateway",
dimensions={"ApiName": apig_name},
statistics=["Sum"],
metricName="4XXError",
refId="C",
),
]
generated_graph = generate_api_gateway_requests_graph(
name=apig_name,
cloudwatch_data_source=cloudwatch_data_source,
lambda_insights_namespace=lambda_insights_namespace,
notifications=notifications,
)
generated_graph.should.be.a(Graph)
generated_graph.title.should.match(r"API Gateway Requests")
generated_graph.dataSource.should.eql(cloudwatch_data_source)
generated_graph.targets.should.have.length_of(len(targets))
generated_graph.alert.should.eql(None)
def test_should_generate_proper_api_gateway_requests_graph_with_notifications(self):
apig_name = "apig-1"
cloudwatch_data_source = "prod"
lambda_insights_namespace = "insights"
notifications = ["foo-1", "foo-2"]
targets = [
CloudwatchMetricsTarget(
alias="5xx",
namespace="AWS/ApiGateway",
statistics=["Sum"],
metricName="5XXError",
dimensions={"ApiName": apig_name},
refId="A",
),
CloudwatchMetricsTarget(
alias="requests",
namespace="AWS/ApiGateway",
dimensions={"ApiName": apig_name},
statistics=["Sum"],
metricName="Count",
refId="B",
),
CloudwatchMetricsTarget(
alias="requests",
namespace="AWS/ApiGateway",
dimensions={"ApiName": apig_name},
statistics=["Sum"],
metricName="4XXError",
refId="C",
),
]
generated_graph = generate_api_gateway_requests_graph(
name=apig_name,
cloudwatch_data_source=cloudwatch_data_source,
lambda_insights_namespace=lambda_insights_namespace,
notifications=notifications,
)
generated_graph.should.be.a(Graph)
generated_graph.title.should.match(r"API Gateway Requests")
generated_graph.dataSource.should.eql(cloudwatch_data_source)
generated_graph.alert.should.be.a(Alert)
generated_graph.alert.alertConditions.should.have.length_of(1)
generated_graph.alert.alertConditions[0].target.should.equal(Target(refId="A"))
generated_graph.targets[0].should.eql(targets[0])
def test_should_generate_proper_dashboard(self):
apig_name = "apig-1"
cloudwatch_data_source = "prod"
lambda_insights_namespace = "influxdb"
environment = "prod"
notifications = ["foo-1", "foo-2"]
lambdas = []
generated_dashboard = generate_api_gateways_dashboard(
name=apig_name,
cloudwatch_data_source=cloudwatch_data_source,
lambda_insights_namespace=lambda_insights_namespace,
notifications=notifications,
environment=environment,
lambdas=lambdas,
)
generated_dashboard.should.be.a(Dashboard)
generated_dashboard.title.should.match(r"API Gateway:")
generated_dashboard.annotations.should.be.a(Annotations)
generated_dashboard.templating.should.be.a(Templating)
generated_dashboard.tags.should.have.length_of(2)
generated_dashboard.rows.should.have.length_of(1)
def test_should_generate_proper_dashboard_with_lambdas(self):
apig_name = "apig-1"
cloudwatch_data_source = "prod"
lambda_insights_namespace = "influxdb"
environment = "prod"
notifications = ["foo-1", "foo-2"]
lambdas = ["lambda-1", "lambda-2"]
generated_dashboard = generate_api_gateways_dashboard(
name=apig_name,
cloudwatch_data_source=cloudwatch_data_source,
lambda_insights_namespace=lambda_insights_namespace,
notifications=notifications,
environment=environment,
lambdas=lambdas,
)
generated_dashboard.should.be.a(Dashboard)
generated_dashboard.title.should.match(r"API Gateway:")
generated_dashboard.annotations.should.be.a(Annotations)
generated_dashboard.templating.should.be.a(Templating)
generated_dashboard.tags.should.have.length_of(3)
generated_dashboard.rows.should.have.length_of((len(lambdas) * 2) + 1)
| 36.745223 | 88 | 0.612238 | 530 | 5,769 | 6.384906 | 0.143396 | 0.033097 | 0.082742 | 0.044326 | 0.864362 | 0.839835 | 0.818558 | 0.794917 | 0.794917 | 0.765366 | 0 | 0.006632 | 0.294332 | 5,769 | 156 | 89 | 36.980769 | 0.824613 | 0 | 0 | 0.739437 | 0 | 0 | 0.072976 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028169 | false | 0 | 0.021127 | 0 | 0.056338 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
953068a290ca80f49fe786a274f3c54cb042d964 | 860 | py | Python | MergeSplitOpStructures.py | zatricion/Streams | d2f688e230b4cb325d5f76886a7499d132591bd4 | [
"MIT"
] | null | null | null | MergeSplitOpStructures.py | zatricion/Streams | d2f688e230b4cb325d5f76886a7499d132591bd4 | [
"MIT"
] | null | null | null | MergeSplitOpStructures.py | zatricion/Streams | d2f688e230b4cb325d5f76886a7499d132591bd4 | [
"MIT"
] | null | null | null | def merge_structure(h, f, in_streams, window_size, step_size, state=None):
def g(windows, state=None):
return [f(windows)] if state is None else [f(windows, state)]
return h(g, in_streams, 1, window_size, step_size, state=None)[0]
def split_structure(h, f, in_stream, num_out_streams,
window_size, step_size, state=None):
def g(windows, state=None):
return f(windows[0]) if state is None else f(windows[0], state)
return h(g, [in_stream], num_out_streams,
window_size, step_size, state=None)
def op_structure(h, f, in_stream, window_size, step_size, state=None):
def g(windows, state=None):
return [f(windows[0])] if state is None else [f(windows[0], state)]
return h(g, [in_stream], 1, window_size,
step_size, state=None)[0]
| 43 | 75 | 0.62907 | 134 | 860 | 3.850746 | 0.186567 | 0.156977 | 0.162791 | 0.209302 | 0.926357 | 0.839147 | 0.839147 | 0.790698 | 0.678295 | 0.678295 | 0 | 0.012365 | 0.247674 | 860 | 19 | 76 | 45.263158 | 0.785162 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0 | 0.2 | 0.8 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 |
1f60e4ee744328eb94ec531ea4ba38a43f74ec2d | 3,440 | py | Python | tests/train_wrapper_utils.py | microsoft/ml-wrappers | 96b6ff94d327c27491bc574fcd3d5f719f60578c | [
"MIT"
] | 19 | 2021-12-13T17:08:25.000Z | 2022-03-18T19:49:35.000Z | tests/train_wrapper_utils.py | imatiach-msft/ml-wrappers | 8c1e5d73f51d58a08db342bb2c1bf10cbbc21350 | [
"MIT"
] | 20 | 2021-12-30T06:58:56.000Z | 2022-03-31T04:42:26.000Z | tests/train_wrapper_utils.py | imatiach-msft/ml-wrappers | 8c1e5d73f51d58a08db342bb2c1bf10cbbc21350 | [
"MIT"
] | 6 | 2021-12-13T17:10:39.000Z | 2022-02-08T22:45:42.000Z | # ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
"""Utilities for calling the wrap_model function and validating the results."""
import pandas as pd
from constants import DatasetConstants
from ml_wrappers import wrap_model
from ml_wrappers.common.constants import ModelTask
from ml_wrappers.dataset.dataset_wrapper import DatasetWrapper
from wrapper_validator import (validate_wrapped_classification_model,
validate_wrapped_regression_model)
def train_classification_model_numpy(model_initializer, dataset,
use_dataset_wrapper=True):
X_train = dataset[DatasetConstants.X_TRAIN]
X_test = dataset[DatasetConstants.X_TEST]
y_train = dataset[DatasetConstants.Y_TRAIN]
model = model_initializer(X_train, y_train)
if use_dataset_wrapper:
X_test_wrapped = DatasetWrapper(X_test)
else:
X_test_wrapped = X_test
wrapped_model = wrap_model(model, X_test_wrapped,
model_task=ModelTask.CLASSIFICATION)
validate_wrapped_classification_model(wrapped_model, X_test)
def train_classification_model_pandas(model_initializer, dataset,
use_dataset_wrapper=True):
X_train = pd.DataFrame(data=dataset[DatasetConstants.X_TRAIN],
columns=dataset[DatasetConstants.FEATURES])
X_test = pd.DataFrame(data=dataset[DatasetConstants.X_TEST],
columns=dataset[DatasetConstants.FEATURES])
y_train = dataset[DatasetConstants.Y_TRAIN]
model = model_initializer(X_train, y_train)
if use_dataset_wrapper:
X_test_wrapped = DatasetWrapper(X_test)
else:
X_test_wrapped = X_test
wrapped_model = wrap_model(model, X_test_wrapped,
model_task=ModelTask.CLASSIFICATION)
validate_wrapped_classification_model(wrapped_model, X_test)
def train_regression_model_numpy(model_initializer, dataset,
use_dataset_wrapper=True):
X_train = dataset[DatasetConstants.X_TRAIN]
X_test = dataset[DatasetConstants.X_TEST]
y_train = dataset[DatasetConstants.Y_TRAIN]
model = model_initializer(X_train, y_train)
if use_dataset_wrapper:
X_test_wrapped = DatasetWrapper(X_test)
else:
X_test_wrapped = X_test
wrapped_model = wrap_model(model, X_test_wrapped,
model_task=ModelTask.REGRESSION)
validate_wrapped_regression_model(wrapped_model, X_test)
def train_regression_model_pandas(model_initializer, dataset,
use_dataset_wrapper=True):
X_train = pd.DataFrame(data=dataset[DatasetConstants.X_TRAIN],
columns=dataset[DatasetConstants.FEATURES])
X_test = pd.DataFrame(data=dataset[DatasetConstants.X_TEST],
columns=dataset[DatasetConstants.FEATURES])
y_train = dataset[DatasetConstants.Y_TRAIN]
model = model_initializer(X_train, y_train)
if use_dataset_wrapper:
X_test_wrapped = DatasetWrapper(X_test)
else:
X_test_wrapped = X_test
wrapped_model = wrap_model(model, X_test_wrapped,
model_task=ModelTask.REGRESSION)
validate_wrapped_regression_model(wrapped_model, X_test)
| 44.102564 | 79 | 0.677035 | 379 | 3,440 | 5.762533 | 0.137203 | 0.07326 | 0.087912 | 0.062271 | 0.81044 | 0.81044 | 0.81044 | 0.81044 | 0.81044 | 0.797619 | 0 | 0 | 0.22907 | 3,440 | 77 | 80 | 44.675325 | 0.823529 | 0.072093 | 0 | 0.825397 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063492 | false | 0 | 0.095238 | 0 | 0.15873 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
1f7a7562d0dc3b9415ad7751231a9dcead8e779b | 9,003 | py | Python | tests/test_param_plotter.py | htjb/maxsmooth | 6187675a26230557f46428edddf060accc4cfe57 | [
"MIT"
] | 5 | 2020-08-10T08:48:08.000Z | 2022-01-18T18:03:20.000Z | tests/test_param_plotter.py | htjb/maxsmooth | 6187675a26230557f46428edddf060accc4cfe57 | [
"MIT"
] | null | null | null | tests/test_param_plotter.py | htjb/maxsmooth | 6187675a26230557f46428edddf060accc4cfe57 | [
"MIT"
] | 1 | 2020-10-06T16:13:26.000Z | 2020-10-06T16:13:26.000Z | import numpy as np
import pytest
import os
import shutil
from maxsmooth.DCF import smooth
from maxsmooth.parameter_plotter import param_plotter
def test_keywords():
np.random.seed(0)
Ndat = 100
x = np.linspace(0,1,Ndat)
y = 1 + x + x**2 + x**3
N = 4
if os.path.isdir('new_dir/'):
shutil.rmtree('new_dir/')
res = smooth(x, y, N, base_dir='new_dir/', data_save=True)
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, color='pink')
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, 5.5)
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, model_type='banana')
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, pivot_point='string')
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, pivot_point=len(x)+10)
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, base_dir=5)
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, base_dir='string')
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, constraints=3.3)
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, constraints=20)
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, zero_crossings=[3.3])
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, zero_crossings=[1])
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, samples=50.2)
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, width='string')
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, warnings='string')
with pytest.raises(Exception):
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, gridlines=9)
def test_files():
np.random.seed(0)
Ndat = 100
x = np.linspace(0,1,Ndat)
y = 1 + x + x**2 + x**3
N = 6
if os.path.isdir('new_dir/'):
shutil.rmtree('new_dir/')
res = smooth(x, y, N, zero_crossings=[4])
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, base_dir='new_dir/', samples=10, zero_crossings=[4])
assert(os.path.exists('new_dir/') is True)
assert(os.path.exists('new_dir/Parameter_plot.pdf') is True)
N = 10
if os.path.isdir('new_dir/'):
shutil.rmtree('new_dir/')
res = smooth(x, y, N)
param_plotter(
res.optimum_params, res.optimum_signs,
x, y, N, base_dir='new_dir/', samples=10, gridlines=True)
assert(os.path.exists('new_dir/') is True)
assert(os.path.exists('new_dir/Parameter_plot.pdf') is True)
def test_new_basis():
np.random.seed(0)
Ndat = 100
x = np.linspace(-1, 1, Ndat)
y = 1 + x + x**2 + x**3 + np.random.normal(0, 0.05, 100)
N = 4
arguments = [x[-1]*10, y[-1]*10]
def basis_functions(x, y, pivot_point, N, *args):
phi = np.empty([len(x), N])
for h in range(len(x)):
for i in range(N):
phi[h, i] = args[1]*(x[h]/args[0])**i
return phi
def model(x, y, pivot_point, N, params, *args):
y_sum = args[1]*np.sum([
params[i]*(x/args[0])**i
for i in range(N)], axis=0)
return y_sum
def derivative(m, x, y, N, pivot_point, params, *args):
mth_order_derivative = []
for i in range(N):
if i <= m - 1:
mth_order_derivative.append([0]*len(x))
for i in range(N - m):
mth_order_derivative_term = args[1]*np.math.factorial(m+i) / \
np.math.factorial(i) * \
params[int(m)+i]*(x)**i / \
(args[0])**(i + 1)
mth_order_derivative.append(
mth_order_derivative_term)
return mth_order_derivative
def derivative_pre(m, x, y, N, pivot_point, *args):
mth_order_derivative = []
for i in range(N):
if i <= m - 1:
mth_order_derivative.append([0]*len(x))
for i in range(N - m):
mth_order_derivative_term = args[1]*np.math.factorial(m+i) / \
np.math.factorial(i) * \
(x)**i / \
(args[0])**(i + 1)
mth_order_derivative.append(
mth_order_derivative_term)
return mth_order_derivative
sol = smooth(x, y, N, basis_functions=basis_functions, model=model,
derivatives=derivative, der_pres=derivative_pre, args=arguments)
if os.path.isdir('new_dir/'):
shutil.rmtree('new_dir/')
param_plotter(
sol.optimum_params, sol.optimum_signs,
x, y, N, samples=10, base_dir='new_dir/',
basis_functions=basis_functions,
model=model,
derivatives=derivative, der_pres=derivative_pre, args=arguments)
assert(os.path.exists('new_dir/') is True)
assert(os.path.exists('new_dir/Parameter_plot.pdf') is True)
with pytest.raises(Exception):
param_plotter(
sol.optimum_params, sol.optimum_signs,
x, y, N, samples=10, base_dir='new_dir/',
basis_functions=basis_functions,
model=None,
derivatives=derivative, der_pres=derivative_pre, args=arguments)
def test_new_basis_without_args():
np.random.seed(0)
Ndat = 100
x = np.linspace(-1, 1, Ndat)
y = 1 + x + x**2 + x**3 + np.random.normal(0, 0.05, 100)
N = 4
def basis_functions(x, y, pivot_point, N, *args):
phi = np.empty([len(x), N])
for h in range(len(x)):
for i in range(N):
phi[h, i] = (x[h])**i
return phi
def model(x, y, pivot_point, N, params, *args):
y_sum = np.sum([
params[i]*(x)**i
for i in range(N)], axis=0)
return y_sum
def derivative(m, x, y, N, pivot_point, params, *args):
mth_order_derivative = []
for i in range(N):
if i <= m - 1:
mth_order_derivative.append([0]*len(x))
for i in range(N - m):
mth_order_derivative_term = np.math.factorial(m+i) / \
np.math.factorial(i) * \
params[int(m)+i]*(x)**i
mth_order_derivative.append(
mth_order_derivative_term)
return mth_order_derivative
def derivative_pre(m, x, y, N, pivot_point, *args):
mth_order_derivative = []
for i in range(N):
if i <= m - 1:
mth_order_derivative.append([0]*len(x))
for i in range(N - m):
mth_order_derivative_term = np.math.factorial(m+i) / \
np.math.factorial(i) * \
(x)**i
mth_order_derivative.append(
mth_order_derivative_term)
return mth_order_derivative
sol = smooth(x, y, N, basis_functions=basis_functions, model=model,
derivatives=derivative, der_pres=derivative_pre)
if os.path.isdir('new_dir/'):
shutil.rmtree('new_dir/')
param_plotter(
sol.optimum_params, sol.optimum_signs,
x, y, N, samples=10, base_dir='new_dir/',
basis_functions=basis_functions,
model=model,
derivatives=derivative, der_pres=derivative_pre)
assert(os.path.exists('new_dir/') is True)
assert(os.path.exists('new_dir/Parameter_plot.pdf') is True)
with pytest.raises(Exception):
param_plotter(
sol.optimum_params, sol.optimum_signs,
x, y, N, samples=10, base_dir='new_dir/',
basis_functions=basis_functions,
model=None,
derivatives=derivative, der_pres=None)
def test_loglog():
Ndat = 100
x = np.linspace(50, 150, Ndat)
y = 5e7*x**(-2.5)
N = 4
if os.path.isdir('new_dir/'):
shutil.rmtree('new_dir/')
sol = smooth(x, y, N, model_type='loglog_polynomial')
param_plotter(
sol.optimum_params, sol.optimum_signs,
x, y, N, samples=10, base_dir='new_dir/',
model_type='loglog_polynomial', data_plot=True, center_plot=True)
assert(os.path.exists('new_dir/Parameter_plot.pdf') is True)
| 29.712871 | 78 | 0.570254 | 1,237 | 9,003 | 3.96443 | 0.090542 | 0.014682 | 0.018964 | 0.062806 | 0.915579 | 0.897839 | 0.896411 | 0.892129 | 0.886827 | 0.886827 | 0 | 0.020194 | 0.301455 | 9,003 | 302 | 79 | 29.811258 | 0.75958 | 0 | 0 | 0.790598 | 0 | 0 | 0.043319 | 0.01444 | 0 | 0 | 0 | 0 | 0.038462 | 1 | 0.055556 | false | 0 | 0.025641 | 0 | 0.115385 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 |
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