xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

12aa7974eda86efbe06ee210f79ae371f0ae6d2b

1,900

py

Python

ecommerce/fornecedor/models.py

lfbtessarolli/tcc_puc

3cbdebc5064599866a09e4518614908266dd2287

[ "MIT" ]

null

ecommerce/fornecedor/models.py

lfbtessarolli/tcc_puc

3cbdebc5064599866a09e4518614908266dd2287

[ "MIT" ]

3

2020-02-11T23:45:17.000Z

2021-06-10T21:10:18.000Z

ecommerce/fornecedor/models.py

lfbtessarolli/tcc_puc

3cbdebc5064599866a09e4518614908266dd2287

[ "MIT" ]

null

from django.db import models from django.contrib.auth.models import User class Fornecedor(models.Model): nome = models.CharField(max_length=200) categoria = models.TextField(default="Categoria") fornecedor = models.ForeignKey(User, on_delete=models.CASCADE, default=1) preco = models.DecimalField(max_digits=10, decimal_places=2) descricao = models.TextField(default="Descrição do Produto") atributos = models.FileField(upload_to='data/json') #SQLite imagem = models.FileField(upload_to='data/img') #SQLite # atributos = models.JSONField() #PostgreSQL # imagem = models.ImageField() #Postgresql class Meta: verbose_name_plural = "Fornecedores" class NovoFornecedor(models.Model): nome = models.CharField(max_length=200) categoria = models.TextField(default="Categoria") fornecedor = models.ForeignKey(User, on_delete=models.CASCADE, default=1) preco = models.DecimalField(max_digits=10, decimal_places=2) descricao = models.TextField(default="Descrição do Produto") atributos = models.FileField(upload_to='data/json') #SQLite imagem = models.FileField(upload_to='data/img') #SQLite # atributos = models.JSONField() #PostgreSQL # imagem = models.ImageField() #Postgresql class Meta: verbose_name_plural = "NovosFornecedores" class AgroFornecedor(models.Model): nome = models.CharField(max_length=200) categoria = models.TextField(default="Categoria") fornecedor = models.ForeignKey(User, on_delete=models.CASCADE, default=1) preco = models.DecimalField(max_digits=10, decimal_places=2) descricao = models.TextField(default="Descrição do Produto") atributos = models.FileField(upload_to='data/json') #SQLite imagem = models.FileField(upload_to='data/img') #SQLite # atributos = models.JSONField() #PostgreSQL # imagem = models.ImageField() #Postgresql class Meta: verbose_name_plural = "AgroFornecedores"

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null

0

1

0

8

12b13986eec509017c071293c5c4f1fbd4507fd4

137

py

Python

notescribe/views/about.py

SatvikR/notescribe

8ac46297407065a920595768410be18da14d6256

[ "Apache-2.0" ]

null

notescribe/views/about.py

SatvikR/notescribe

8ac46297407065a920595768410be18da14d6256

[ "Apache-2.0" ]

null

notescribe/views/about.py

SatvikR/notescribe

8ac46297407065a920595768410be18da14d6256

[ "Apache-2.0" ]

null

from notescribe import app from flask import render_template @app.route('/about') def about(): return render_template('about.html')

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1

0

1

0

null

0

1

0

1

0

7

12c203293c47eb9de83fcab654b9330cdfdfe1b9

1,953

py

Python

firstApp/migrations/0007_alter_registration_address_alter_registration_city_and_more.py

sayan706/SchoolWebsite

8a3faea4582e3c15f0d33347e6c0793a78481c52

[ "MIT" ]

null

firstApp/migrations/0007_alter_registration_address_alter_registration_city_and_more.py

sayan706/SchoolWebsite

8a3faea4582e3c15f0d33347e6c0793a78481c52

[ "MIT" ]

null

firstApp/migrations/0007_alter_registration_address_alter_registration_city_and_more.py

sayan706/SchoolWebsite

8a3faea4582e3c15f0d33347e6c0793a78481c52

[ "MIT" ]

null

# Generated by Django 4.0.1 on 2022-01-10 09:31 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('firstApp', '0006_alter_registration_degree'), ] operations = [ migrations.AlterField( model_name='registration', name='address', field=models.CharField(max_length=122, null=True), ), migrations.AlterField( model_name='registration', name='city', field=models.CharField(max_length=122, null=True), ), migrations.AlterField( model_name='registration', name='email', field=models.CharField(max_length=122, null=True), ), migrations.AlterField( model_name='registration', name='gender', field=models.CharField(max_length=12, null=True), ), migrations.AlterField( model_name='registration', name='lastname', field=models.CharField(max_length=122, null=True), ), migrations.AlterField( model_name='registration', name='middlename', field=models.CharField(max_length=122, null=True), ), migrations.AlterField( model_name='registration', name='passwrd', field=models.CharField(max_length=12, null=True), ), migrations.AlterField( model_name='registration', name='phone', field=models.CharField(max_length=12, null=True), ), migrations.AlterField( model_name='registration', name='pincode', field=models.CharField(max_length=12, null=True), ), migrations.AlterField( model_name='registration', name='semester', field=models.CharField(max_length=12, null=True), ), ]

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1

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1

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null

0

9

12e918a3568636e0e38899f10ca31b893ac17de9

131

py

Python

squash/admin.py

craigotis/Squash

f2b487bf729808c33594772414732d9679e49066

[ "MIT" ]

1

2017-11-20T02:38:25.000Z

squash/admin.py

craigotis/Squash

f2b487bf729808c33594772414732d9679e49066

[ "MIT" ]

null

squash/admin.py

craigotis/Squash

f2b487bf729808c33594772414732d9679e49066

[ "MIT" ]

null

from squash.models import Project, Version, Issue from django.contrib import admin admin.site.register({Project, Version, Issue})

26.2

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0.801527

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5.833333

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0.266667

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131

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0

null

0

1

0

1

0

1

0

7

12f93072bcda5f3c50fd5472639fc392e36126ac

4,611

py

Python

simpleml/linear_regression.py

lautarodc/INVAP_disw_sphinx

8b2f9266ac79b88d0cad2a4c6f2c0f07f82e6be6

[ "MIT" ]

null

simpleml/linear_regression.py

lautarodc/INVAP_disw_sphinx

8b2f9266ac79b88d0cad2a4c6f2c0f07f82e6be6

[ "MIT" ]

null

simpleml/linear_regression.py

lautarodc/INVAP_disw_sphinx

8b2f9266ac79b88d0cad2a4c6f2c0f07f82e6be6

[ "MIT" ]

null

import numpy as np from abc import ABC class BaseModel(ABC): """ Abstract Model Class used as interface of all regression models. :param model: Stored model data (NumPy array in most cases) :type model: np.ndarray :param data: input data for training or testing :type data: np.ndarray :param labels: labels of the input data for training :type labels: np.ndarray """ def __init__(self): self.model = None def fit(self, data: np.ndarray, labels: np.ndarray): """ :param data: input data for training :type data: np.ndarray :param labels: labels of the input data for training :type labels: np.ndarray """ pass def predict(self, data: np.ndarray): """ :param data: input data for testing :type data: np.ndarray :return: predicted data :rtype: np.ndarray """ pass class ConstantModel(BaseModel): """ Constant model class that uses the average of each feature as prediction. :param model: Stored model data (NumPy array in most cases) :type model: np.ndarray :param data: input data for training or testing :type data: np.ndarray :param labels: labels of the input data for training :type labels: np.ndarray """ def fit(self, data: np.ndarray, labels: np.ndarray) -> None: """ Method for fitting the training data and determining and storing the model parameters. In this case the model returns always the data average. :param data: input data for training :type data: np.ndarray :param labels: labels of the input data for training :type labels: np.ndarray :return: None """ w = labels.mean() self.model = w def predict(self, data: np.ndarray) -> np.ndarray: """ Given the input data it returns the predicted output for each input point using the model, in this case the average. :param data: input data for testing :type data: np.ndarray :return: predicted data :rtype: np.ndarray """ return np.ones(len(data)) * self.model class LinearRegression(BaseModel): """ Linear regression model class that uses the following model for predictions: .. math:: y = \\omega*X """ def fit(self, data: np.ndarray, labels: np.ndarray) -> None: """ Method for fitting the training data and determining and storing the model parameters :math:`\\omega`. :param data: input data for training :type data: np.ndarray :param labels: labels of the input data for training :type labels: np.ndarray :return: None """ if len(data.shape) == 1: w = data.T.dot(labels) / data.T.dot(data) else: w = np.linalg.inv(data.T.dot(data)).dot(data.T).dot(labels) self.model = w def predict(self, data: np.ndarray) -> np.ndarray: """ Given the input data it returns the predicted output for each input point using the model, in this case: .. math:: y = \\omega*X :param data: input data for testing :type data: np.ndarray :return: predicted data :rtype: np.ndarray """ return self.model * data class LinearRegressionWithB(BaseModel): """ Affine regression model class that uses the following model for predictions: .. math:: y = \\omega*X + b """ def fit(self, data: np.ndarray, labels: np.ndarray) -> None: """ Method for fitting the training data and determining and storing the model parameters :math:`\\omega` and b. :param data: input data for training :type data: np.ndarray :param labels: labels of the input data for training :type labels: np.ndarray :return: None """ x_expanded = np.vstack((data, np.ones(len(data)))).T w = np.linalg.inv(x_expanded.T.dot(x_expanded)).dot(x_expanded.T).dot(labels) self.model = w def predict(self, data: np.ndarray) -> np.ndarray: """ Given the input data it returns the predicted output for each input point using the model, in this case: .. math:: y = \\omega*X + b :param data: input data for testing :type data: np.ndarray :return: predicted data :rtype: np.ndarray """ x_expanded = np.vstack((data, np.ones(len(data)))).T return x_expanded.dot(self.model)

28.81875

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0.148515

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0.084538

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0.793714

0.790462

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0

0.000311

0.30167

4,611

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false

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null

0

1

0

1

0

1

0

9

4201f8b63ff7900b5c466a4178e82885df7a3702

14,686

py

Python

app/src/main/assets/code/matatabot/motion.py

tongjinlv/py_and

a069336c47dd233648fbbadee7275ef188696a44

[ "Apache-2.0" ]

null

app/src/main/assets/code/matatabot/motion.py

tongjinlv/py_and

a069336c47dd233648fbbadee7275ef188696a44

[ "Apache-2.0" ]

null

app/src/main/assets/code/matatabot/motion.py

tongjinlv/py_and

a069336c47dd233648fbbadee7275ef188696a44

[ "Apache-2.0" ]

null

import sys import math import random class motion: def __init__(self,call): self.call=call def forward_step(self,step): data = [0x10,0x01,0x00,0x00] mm=100 data[2]=mm//256 data[3]=mm%256 for i in range(0, step): self.call.blewrite(data) self.call.blewait(0x88) def forward(self,step): data = [0x10,0x01,0x00,0x00] mm=None if isinstance(step,int): mm=round(step) mm=mm*10 elif isinstance(step,float): mm=round(step) mm=mm*10 elif isinstance(step,str): if(step=="step_1"): self.forward_step(1) return elif(step=="step_2"): self.forward_step(2) return elif(step=="step_3"): self.forward_step(3) return elif(step=="step_4"): self.forward_step(4) return elif(step=="step_5"): self.forward_step(5) return elif(step=="step_6"): self.forward_step(6) return elif(step=="random_step"): mm=random.randint(1,6) self.forward_step(mm) return elif(step=="random"): mm=random.randint(1,6) mm=mm*100 if(mm==None): pass data[2]=mm//256 data[3]=mm%256 self.call.blewrite(data) self.call.blewait(0x88) def backward_step(self,step): data = [0x10,0x02,0x00,0x00] mm=100 data[2]=mm//256 data[3]=mm%256 for i in range(0, step): self.call.blewrite(data) self.call.blewait(0x88) def backward(self,step): data = [0x10,0x02,0x00,0x00] mm=None if isinstance(step,int): mm=step mm=mm*10 elif isinstance(step,float): mm=round(step) mm=mm*10 elif isinstance(step,str): if(step=="step_1"): self.backward_step(1) return elif(step=="step_2"): self.backward_step(2) return elif(step=="step_3"): self.backward_step(3) return elif(step=="step_4"): self.backward_step(4) return elif(step=="step_5"): self.backward_step(5) return elif(step=="step_6"): self.backward_step(6) return elif(step=="random_step"): mm=random.randint(1,6) self.backward_step(mm) return elif(step=="random"): mm=random.randint(1,6) mm=mm*100 else: mm=100 data[2]=mm//256 data[3]=mm%256 self.call.blewrite(data) self.call.blewait(0x88) def turn_left(self,angle): data = [0x10,0x03,0x00,0x00] mm=None if isinstance(angle,int): mm=angle elif isinstance(angle,float): mm=round(angle) elif isinstance(angle,str): if(angle=="random"): mm=random.randint(30,180) elif(angle=="30degree"): mm=30 elif(angle=="36degree"): mm=36 elif(angle=="45degree"): mm=45 elif(angle=="60degree"): mm=60 elif(angle=="72degree"): mm=72 elif(angle=="90degree"): mm=90 elif(angle=="108degree"): mm=108 elif(angle=="120degree"): mm=120 elif(angle=="135degree"): mm=135 elif(angle=="145degree"): mm=145 elif(angle=="150degree"): mm=150 elif(angle=="180degree"): mm=180 else: mm=30 data[2]=mm//256 data[3]=mm%256 self.call.blewrite(data) self.call.blewait() def turn_right(self,angle:int): data = [0x10,0x04,0x00,0x00] mm=None if isinstance(angle,int): mm=angle elif isinstance(angle,float): mm=round(angle) elif isinstance(angle,str): if(angle=="random"): mm=random.randint(30,180) elif(angle=="30degree"): mm=30 elif(angle=="36degree"): mm=36 elif(angle=="45degree"): mm=45 elif(angle=="60degree"): mm=60 elif(angle=="72degree"): mm=72 elif(angle=="90degree"): mm=90 elif(angle=="108degree"): mm=108 elif(angle=="120degree"): mm=120 elif(angle=="135degree"): mm=135 elif(angle=="145degree"): mm=145 elif(angle=="150degree"): mm=150 elif(angle=="180degree"): mm=180 else: mm=30 data[2]=mm//256 data[3]=mm%256 self.call.blewrite(data) self.call.blewait() def move_position(self,position): #print(str(position)) if(float(position)>9999): position=9999 if(float(position)<-9999): position=-9999 position=position*10 position=round(position) data = [0x10,0x01,0x00,0x00] mm=None if(position>0): data[1]=0x01 if(position>1000): position=1000 mm=position else: data[1]=0x02 if(position<-1000): position=-1000 mm=0-position data[2]=mm//256 data[3]=mm%256 self.call.blewrite(data) self.call.blewait() def move_angle(self,angle): if(float(angle)>9999): angle=9999 if(float(angle)<-9999): angle=-9999 angle=round(angle) data = [0x10,0x03,0x00,0x00] mm=None if(angle>0): data[1]=0x04 if(angle>360): angle=360 mm=angle else: data[1]=0x03 if(angle<-360): angle=-360 mm=0-angle data[2]=mm//256 data[3]=mm%256 self.call.blewrite(data) self.call.blewait() def move_speed(self,left_speed,right_speed): left_s=0 right_s=0 data = [0x11,0x03,0x01,0x00,0x00,0x01,0x00,0x00] if isinstance(left_speed,int): left_s=144*left_speed/9.70 elif isinstance(left_speed,float): left_s=144*left_speed/9.70 elif isinstance(left_speed,str): if(left_speed=="gear_1"): left_s=70 elif(left_speed=="gear_2"): left_s=105 elif(left_speed=="gear_3"): left_s=140 elif(left_speed=="gear_4"): left_s=175 elif(left_speed=="gear_5"): left_s=210 elif(left_speed=="gear_6"): left_s=245 elif(left_speed=="inf"): left_s=245 elif(left_speed=="gear_stop"): left_s=0 elif(left_speed=="gear_random"): a=random.randint(0,5) left_s=70+35*a elif(left_speed=="backgear_1"): left_s=-70 elif(left_speed=="backgear_2"): left_s=-105 elif(left_speed=="backgear_3"): left_s=-140 elif(left_speed=="backgear_4"): left_s=-175 elif(left_speed=="backgear_5"): left_s=-175 elif(left_speed=="backgear_6"): left_s=-210 elif(left_speed=="-inf"): left_s=-210 elif(left_speed=="backgear_stop"): left_s=0 elif(left_speed=="backgear_random"): a=random.randint(0,5) left_s=-70-35*a if isinstance(right_speed,int): right_s=144*right_speed/9.70 elif isinstance(right_speed,float): right_s=144*right_speed/9.70 elif isinstance(right_speed,str): if(right_speed=="gear_1"): right_s=70 elif(right_speed=="gear_2"): right_s=105 elif(right_speed=="gear_3"): right_s=140 elif(right_speed=="gear_4"): right_s=175 elif(right_speed=="gear_5"): right_s=210 elif(right_speed=="gear_6"): right_s=245 elif(right_speed=="inf"): right_s=245 elif(right_speed=="gear_stop"): right_s=0 elif(right_speed=="gear_random"): a=random.randint(0,5) right_s=70+35*a elif(right_speed=="backgear_1"): right_s=-70 elif(right_speed=="backgear_2"): right_s=-105 elif(right_speed=="backgear_3"): right_s=-140 elif(right_speed=="backgear_4"): right_s=-175 elif(right_speed=="backgear_5"): right_s=-175 elif(right_speed=="backgear_6"): right_s=-210 elif(right_speed=="-inf"): right_s=-210 elif(right_speed=="backgear_stop"): right_s=0 elif(right_speed=="backgear_random"): a=random.randint(0,5) right_s=-70-35*a if(left_s>0): left_s=left_s data[2]=0x01 else: left_s=0-left_s data[2]=0x02 if(right_s>0): right_s=right_s data[5]=0x01 else: right_s=0-right_s data[5]=0x02 left_s=round(left_s) right_s=round(right_s) data[3]=left_s//256 data[4]=left_s%256 data[6]=right_s//256 data[7]=right_s%256 self.call.blewrite(data) def move_right_speed(self,right_speed): right_s=0 data = [0x11,0x01,0x01,0x00,0x00] if isinstance(right_speed,int): right_s=144*right_speed/9.70 elif isinstance(right_speed,float): right_s=144*right_speed/9.70 elif isinstance(right_speed,str): if(right_speed=="gear_1"): right_s=70 elif(right_speed=="gear_2"): right_s=105 elif(right_speed=="gear_3"): right_s=140 elif(right_speed=="gear_4"): right_s=175 elif(right_speed=="gear_5"): right_s=210 elif(right_speed=="gear_6"): right_s=245 elif(right_speed=="inf"): right_s=245 elif(right_speed=="gear_stop"): right_s=0 elif(right_speed=="gear_random"): a=random.randint(0,5) right_s=70+35*a elif(right_speed=="backgear_1"): right_s=-70 elif(right_speed=="backgear_2"): right_s=-105 elif(right_speed=="backgear_3"): right_s=-140 elif(right_speed=="backgear_4"): right_s=-175 elif(right_speed=="backgear_5"): right_s=-175 elif(right_speed=="backgear_6"): right_s=-210 elif(right_speed=="-inf"): right_s=-210 elif(right_speed=="backgear_stop"): right_s=0 elif(right_speed=="backgear_random"): a=random.randint(0,5) right_s=-70-35*a if(right_s>0): right_s=right_s data[2]=0x01 else: right_s=0-right_s data[2]=0x02 right_s=round(right_s) data[3]=right_s//256 data[4]=right_s%256 self.call.blewrite(data) def move_left_speed(self,left_speed): left_s=0 data = [0x11,0x02,0x01,0x00,0x00] if isinstance(left_speed,int): left_s=144*left_speed/9.70 elif isinstance(left_speed,float): left_s=144*left_speed/9.70 elif isinstance(left_speed,str): if(left_speed=="gear_1"): left_s=70 elif(left_speed=="gear_2"): left_s=105 elif(left_speed=="gear_3"): left_s=140 elif(left_speed=="gear_4"): left_s=175 elif(left_speed=="gear_5"): left_s=210 elif(left_speed=="gear_6"): left_s=245 elif(left_speed=="inf"): left_s=245 elif(left_speed=="gear_stop"): left_s=0 elif(left_speed=="gear_random"): a=random.randint(0,5) left_s=70+35*a elif(left_speed=="backgear_1"): left_s=-70 elif(left_speed=="backgear_2"): left_s=-105 elif(left_speed=="backgear_3"): left_s=-140 elif(left_speed=="backgear_4"): left_s=-175 elif(left_speed=="backgear_5"): left_s=-175 elif(left_speed=="backgear_6"): left_s=-210 elif(left_speed=="-inf"): left_s=-210 elif(left_speed=="backgear_stop"): left_s=0 elif(left_speed=="backgear_random"): a=random.randint(0,5) left_s=-70-35*a if(left_s>0): left_s=left_s data[2]=0x01 else: left_s=0-left_s data[2]=0x02 left_s=round(left_s) data[3]=left_s//256 data[4]=left_s%256 self.call.blewrite(data) def stop(self,wheel): data =None if(wheel=="left"): data= [0x11,0x01,0x01,0x00,0x00] elif(wheel=="right"): data= [0x11,0x02,0x01,0x00,0x00] elif(wheel=="all"): data = [0x11,0x03,0x01,0x00,0x00,0x01,0x00,0x00] else: data = [0x11,0x03,0x01,0x00,0x00,0x01,0x00,0x00] self.call.blewrite(data)

31.447537

60

0.463571

1,717

14,686

3.776937

0.060571

0.046261

0.068157

0.051812

0.903161

0.896839

0.846723

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0.769776

0.717194

0

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0.414817

14,686

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31.515021

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0.001362

0

0.839479

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0

1

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0.002169

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0

0.067245

0

null

0

1

0

1

0

null

0

7

4230fcf2d15631a570b4bb73eb294a146b99456a

15,630

py

Python

ub/modules/script.py

parv779/javes-3.0

d510717b2756a65b39ff18d9f53d4adc46d8e23f

[ "MIT" ]

15

2020-12-13T17:37:05.000Z

2021-06-23T00:00:49.000Z

ub/modules/script.py

parv779/javes-3.0

d510717b2756a65b39ff18d9f53d4adc46d8e23f

[ "MIT" ]

2

2021-01-11T16:39:31.000Z

2021-01-25T22:35:28.000Z

ub/modules/script.py

parv779/javes-3.0

d510717b2756a65b39ff18d9f53d4adc46d8e23f

[ "MIT" ]

78

2020-12-13T17:52:51.000Z

2022-03-24T03:43:09.000Z

import os import asyncio from getpass import getuser from os import remove from subprocess import PIPE from subprocess import run as runapp import pybase64 from sys import executable from ub import CMD_HELP, BOTLOG, BOTLOG_CHATID from ub.events import javes05, bot, rekcah05 javes = client = bot from ub import CMD_HELP, ALIVE_NAME, PM_MESSAGE, JAVES_NAME, JAVES_MSG, ORI_MSG JAVES_NNAME = str(JAVES_NAME) if JAVES_NAME else str(JAVES_MSG) FULL_SUDO = os.environ.get("FULL_SUDO", None) import inspect running_processes: dict = {} @javes05(outgoing=True, pattern="^\!term(?: |$|\n)([\s\S]*)") async def evaluate(event): await event.edit(f"**{JAVES_NNAME}**: `Running Terminal.....`") message = (str(event.chat_id) + ':' + str(event.message.id)) if running_processes.get(message, False): await event.edit("A process for this event is already running!") return cmd = event.pattern_match.group(1).strip() if not cmd: await event.edit("``` Give a command or use !help script.```") return if cmd in ("ub.session", "env", "printenv"): return await event.edit(f"`{JAVES_NNAME}:` **Privacy Error, This command not permitted**") process = await asyncio.create_subprocess_shell( cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE) running_processes.update({message: process}) stdout, stderr = await process.communicate() not_killed = running_processes.get(message, False) if not_killed: del running_processes[message] text = f"**Terminal Command**: `{cmd}`\n**Return code**: `{process.returncode}`\n\n" if stdout: text += "\n**[stdout]**\n`" + stdout.decode("UTF-8").strip() + "\n`" if stderr: text += "\n**[stderr]**\n`" + stderr.decode('UTF-8').strip() + "\n`" if stdout or stderr: if not len(text) > 4096: return await event.edit(text) output = open("term.txt", "w+") output.write(text) output.close() await event.client.send_file(event.chat_id, "term.txt", reply_to=event.id, caption=f"`{JAVES_NNAME}:` **Output too large, sending as file**") os.remove("term.txt") return @javes.on(rekcah05(pattern=f"term(?: |$|\n)([\s\S]*)", allow_sudo=True)) async def evaluate(event): if not FULL_SUDO: await query.reply(f"`{JAVES_NNAME}:` **Sorry , Normal Sudo cant acess this comand, active advance sudo by set FULL_SUDO as true in heroku var**") else: rkp = await event.reply(f"**{JAVES_NNAME}**: `Running Terminal.....`") message = (str(event.chat_id) + ':' + str(event.message.id)) if running_processes.get(message, False): await rkp.edit("A process for this event is already running!") return cmd = event.pattern_match.group(1).strip() if not cmd: await rkp.edit("``` Give a command or use .help script.```") return if cmd in ("ub.session", "env", "printenv"): return await rkp.edit(f"`{JAVES_NNAME}:` **Privacy Error, This command not permitted**") process = await asyncio.create_subprocess_shell( cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE) running_processes.update({message: process}) stdout, stderr = await process.communicate() not_killed = running_processes.get(message, False) if not_killed: del running_processes[message] text = f"**Terminal Command**: `{cmd}`\n**Return code**: `{process.returncode}`\n\n" if stdout: text += "\n**[stdout]**\n`" + stdout.decode("UTF-8").strip() + "\n`" if stderr: text += "\n**[stderr]**\n`" + stderr.decode('UTF-8').strip() + "\n`" if stdout or stderr: if not len(text) > 4096: return await rkp.edit(text) output = open("term.txt", "w+") output.write(text) output.close() await event.client.send_file(event.chat_id, "term.txt", reply_to=event.id, caption=f"`{JAVES_NNAME}:` **Output too large, sending as file**") os.remove("term.txt") return @javes05(outgoing=True, pattern=r"^\!exec(?: |$)([\s\S]*)") async def run(run_q): code = run_q.pattern_match.group(1) if not code: await run_q.edit(f"`{JAVES_NNAME}:` **At least a variable is required to \ execute. Use !help script for an example.**") return if code in ("ub.session", "env", "printenv"): await run_q.edit(f"`{JAVES_NNAME}:` **Privacy Error, This command not permitted**") return if len(code.splitlines()) <= 5: codepre = code else: clines = code.splitlines() codepre = clines[0] + "\n" + clines[1] + "\n" + clines[2] + \ "\n" + clines[3] + "..." command = "".join(f"\n {l}" for l in code.split("\n.strip()")) process = await asyncio.create_subprocess_exec( executable, '-c', command.strip(), stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE) stdout, stderr = await process.communicate() result = str(stdout.decode().strip()) \ + str(stderr.decode().strip()) if result: if len(result) > 4096: file = open("exec.txt", "w+") file.write(result) file.close() await run_q.client.send_file( run_q.chat_id, "exec.txt", reply_to=run_q.id, caption="`Output too large, sending as file`", ) remove("exec.txt") return await run_q.edit("**Query: **\n`" f"{codepre}" "`\n**Result: **\n`" f"{result}" "`") else: await run_q.edit("**Query: **\n`" f"{codepre}" "`\n**Result: **\n`No Result Returned/False`") @javes.on(rekcah05(pattern=f"exec(?: |$)([\s\S]*)", allow_sudo=True)) async def run(run_q): if not FULL_SUDO: await query.reply(f"`{JAVES_NNAME}:` **Sorry , Normal Sudo cant acess this comand, active advance sudo by set FULL_SUDO as true in heroku var**") else: code = run_q.pattern_match.group(1) if not code: await run_q.reply(f"`{JAVES_NNAME}:` **At least a variable is required to \ execute. Use !help script for an example.**") return if code in ("ub.session", "env", "printenv"): await run_q.reply(f"`{JAVES_NNAME}:` **Privacy Error, This command not permitted**") return if len(code.splitlines()) <= 5: codepre = code else: clines = code.splitlines() codepre = clines[0] + "\n" + clines[1] + "\n" + clines[2] + \ "\n" + clines[3] + "..." command = "".join(f"\n {l}" for l in code.split("\n.strip()")) process = await asyncio.create_subprocess_exec( executable, '-c', command.strip(), stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE) stdout, stderr = await process.communicate() result = str(stdout.decode().strip()) \ + str(stderr.decode().strip()) if result: if len(result) > 4096: file = open("exec.txt", "w+") file.write(result) file.close() await run_q.client.send_file( run_q.chat_id, "exec.txt", reply_to=run_q.id, caption="`Output too large, sending as file`", ) remove("exec.txt") return await run_q.reply("**Query: **\n`" f"{codepre}" "`\n**Result: **\n`" f"{result}" "`") else: await run_q.reply("**Query: **\n`" f"{codepre}" "`\n**Result: **\n`No Result Returned/False`") @javes05(outgoing=True, pattern="^\!eval(?: |$)(.*)") async def evaluate(query): if query.pattern_match.group(1): expression = query.pattern_match.group(1) else: await query.edit(f"`{JAVES_NNAME}:` **Please give command type !help script for more info**") return if expression in ("ub.session", "env", "printenv"): await query.edit(f"`{JAVES_NNAME}:` **Privacy Error, This command not permitted**") return try: evaluation = str(eval(expression)) if evaluation: if isinstance(evaluation, str): if len(evaluation) >= 4096: file = open("eval.txt", "w+") file.write(evaluation) file.close() await query.client.send_file( query.chat_id, "eval.txt", reply_to=query.id, caption="`Output too large, sending as file`", ) remove("eval.txt") return await query.edit("**Query: **\n`" f"{expression}" "`\n**Result: **\n`" f"{evaluation}" "`") else: await query.edit("**Query: **\n`" f"{expression}" "`\n**Result: **\n`No Result Returned/False`") except Exception as err: await query.edit("**Query: **\n`" f"{expression}" "`\n**Exception: **\n" f"`{err}`") @javes.on(rekcah05(pattern=f"eval(?: |$)(.*)", allow_sudo=True)) async def evaluate(query): if not FULL_SUDO: await query.reply(f"`{JAVES_NNAME}:` **Sorry , Normal Sudo cant acess this comand, active advance sudo by set FULL_SUDO as true in heroku var**") else: if query.pattern_match.group(1): expression = query.pattern_match.group(1) else: await query.reply(f"`{JAVES_NNAME}:` **Please give command type !help script for more info**") return if expression in ("ub.session", "env", "printenv"): await query.reply(f"`{JAVES_NNAME}:` **Privacy Error, This command not permitted**") return try: evaluation = str(eval(expression)) if evaluation: if isinstance(evaluation, str): if len(evaluation) >= 4096: file = open("eval.txt", "w+") file.write(evaluation) file.close() await query.client.send_file( query.chat_id, "eval.txt", reply_to=query.id, caption="`Output too large, sending as file`", ) remove("eval.txt") return await query.reply("**Query: **\n`" f"{expression}" "`\n**Result: **\n`" f"{evaluation}" "`") else: await query.reply("**Query: **\n`" f"{expression}" "`\n**Result: **\n`No Result Returned/False`") except Exception as err: await query.reply("**Query: **\n`" f"{expression}" "`\n**Exception: **\n" f"`{err}`") @javes05(outgoing=True, pattern="^\!hash (.*)") async def gethash(hash_q): hashtxt_ = hash_q.pattern_match.group(1) hashtxt = open("hashdis.txt", "w+") hashtxt.write(hashtxt_) hashtxt.close() md5 = runapp(["md5sum", "hashdis.txt"], stdout=PIPE) md5 = md5.stdout.decode() sha1 = runapp(["sha1sum", "hashdis.txt"], stdout=PIPE) sha1 = sha1.stdout.decode() sha256 = runapp(["sha256sum", "hashdis.txt"], stdout=PIPE) sha256 = sha256.stdout.decode() sha512 = runapp(["sha512sum", "hashdis.txt"], stdout=PIPE) runapp(["rm", "hashdis.txt"], stdout=PIPE) sha512 = sha512.stdout.decode() ans = ("Text: `" + hashtxt_ + "`\nMD5: `" + md5 + "`SHA1: `" + sha1 + "`SHA256: `" + sha256 + "`SHA512: `" + sha512[:-1] + "`") if len(ans) > 4096: hashfile = open("hashes.txt", "w+") hashfile.write(ans) hashfile.close() await hash_q.client.send_file( hash_q.chat_id, "hashes.txt", reply_to=hash_q.id, caption="`It's too big, sending a text file instead. `") runapp(["rm", "hashes.txt"], stdout=PIPE) else: await hash_q.reply(ans) @javes.on(rekcah05(pattern=f"hash (.*)", allow_sudo=True)) async def gethash(hash_q): hashtxt_ = hash_q.pattern_match.group(1) hashtxt = open("hashdis.txt", "w+") hashtxt.write(hashtxt_) hashtxt.close() md5 = runapp(["md5sum", "hashdis.txt"], stdout=PIPE) md5 = md5.stdout.decode() sha1 = runapp(["sha1sum", "hashdis.txt"], stdout=PIPE) sha1 = sha1.stdout.decode() sha256 = runapp(["sha256sum", "hashdis.txt"], stdout=PIPE) sha256 = sha256.stdout.decode() sha512 = runapp(["sha512sum", "hashdis.txt"], stdout=PIPE) runapp(["rm", "hashdis.txt"], stdout=PIPE) sha512 = sha512.stdout.decode() ans = ("Text: `" + hashtxt_ + "`\nMD5: `" + md5 + "`SHA1: `" + sha1 + "`SHA256: `" + sha256 + "`SHA512: `" + sha512[:-1] + "`") if len(ans) > 4096: hashfile = open("hashes.txt", "w+") hashfile.write(ans) hashfile.close() await hash_q.client.send_file( hash_q.chat_id, "hashes.txt", reply_to=hash_q.id, caption="`It's too big, sending a text file instead. `") runapp(["rm", "hashes.txt"], stdout=PIPE) else: await hash_q.reply(ans) @javes05(outgoing=True, pattern="^\!base64 (en|de) (.*)") async def endecrypt(query): if query.pattern_match.group(1) == "en": lething = str( pybase64.b64encode(bytes(query.pattern_match.group(2), "utf-8")))[2:] await query.reply("Encoded: `" + lething[:-1] + "`") else: lething = str( pybase64.b64decode(bytes(query.pattern_match.group(2), "utf-8"), validate=True))[2:] await query.reply("Decoded: `" + lething[:-1] + "`") @javes.on(rekcah05(pattern=f"base64 (en|de) (.*)", allow_sudo=True)) async def endecrypt(query): if query.pattern_match.group(1) == "en": lething = str( pybase64.b64encode(bytes(query.pattern_match.group(2), "utf-8")))[2:] await query.reply("Encoded: `" + lething[:-1] + "`") else: lething = str( pybase64.b64decode(bytes(query.pattern_match.group(2), "utf-8"), validate=True))[2:] await query.reply("Decoded: `" + lething[:-1] + "`") CMD_HELP.update({ "script": "!term\ \nUsage: run shell command in javes, Javes's os is alpine so use apline commands like !term apk add < packges>\ \n\n!exec \ \nUsage: run python command in javes. like !exec print ('hello')\ \n\n!eval\ \nUsage: Evalute mini-expressions. like !eval 1+1\ \n\n!hash\ \nUsage: find the md5, sha1, sha256, sha512 of the string.\ \n\n!base64 en/de\ \nUsage: find the base64 encode/decode the given string. like !base64 en hello\ \n\n**Sodo commands ( type !help sudo for more info)**\ \n .term , .exec , .eval, .base64 en/de , .hash\ " })

36.863208

154

0.537812

1,842

15,630

4.486428

0.119435

0.022991

0.022628

0.026137

0.875605

0.848742

0.840876

0.833616

0.832527

0.824782

0

0.021699

0.304159

15,630

424

155

36.863208

0.738139

0

0.825613

0

0.010899

0.210863

0.003327

0

1

0

false

0.002725

0.032698

0

0.092643

0.019074

0

null

0

1

0

1

0

null

0

7

42a260729e8da177ce5721a120eea86c8b2c4149

44

py

Python

3-Patron/python/IMapa.py

TanZng/patrones-combinados

93796d9d5296649bd76b7b2ee7c723156b9a120f

[ "MIT" ]

1

2021-09-13T15:45:48.000Z

3-Patron/python/IMapa.py

TanZng/patrones-combinados

93796d9d5296649bd76b7b2ee7c723156b9a120f

[ "MIT" ]

null

3-Patron/python/IMapa.py

TanZng/patrones-combinados

93796d9d5296649bd76b7b2ee7c723156b9a120f

[ "MIT" ]

1

2021-09-24T03:00:47.000Z

import abc class IMapa(abc.ABC): pass

7.333333

21

0.659091

7

44

4.142857

0.714286

0

0.25

44

5

22

8.8

0.878788

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

7

c4176361a2daeb440a9fefb7082658372fb13f9c

156

py

Python

locale/pot/api/plotting/_autosummary/pyvista-themes-DefaultTheme-antialiasing-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

4

2020-08-07T08:19:19.000Z

2020-12-04T09:51:11.000Z

locale/pot/api/plotting/_autosummary/pyvista-themes-DefaultTheme-antialiasing-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

19

2020-08-06T00:24:30.000Z

2022-03-30T19:22:24.000Z

locale/pot/api/plotting/_autosummary/pyvista-themes-DarkTheme-antialiasing-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

1

2021-03-09T07:50:40.000Z

# Enable anti-aliasing in the global theme. # import pyvista pyvista.global_theme.antialiasing = True pyvista.global_theme.antialiasing # Expected: ## True

19.5

43

0.801282

20

156

6.15

0.6

0.268293

0.292683

0.487805

0

0.115385

156

7

44

22.285714

0.891304

0.358974

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

670771e5c5148bbf2de506cd92e9483dacd7f3d1

9,630

py

Python

evaluater/evaluater.py

LanXiangExcavator/Beat-aligned_Transformer

c17b014f01761d1b38addd3a846db3c0b5ba5e80

[ "MIT" ]

3

2022-03-03T07:37:01.000Z

2022-03-09T07:47:11.000Z

evaluater/evaluater.py

LanXiangExcavator/Beat-aligned_Transformer

c17b014f01761d1b38addd3a846db3c0b5ba5e80

[ "MIT" ]

null

evaluater/evaluater.py

LanXiangExcavator/Beat-aligned_Transformer

c17b014f01761d1b38addd3a846db3c0b5ba5e80

[ "MIT" ]

1

2022-02-28T14:55:23.000Z

from base import BaseEvaluater from utils import * import torch.nn as nn from data_loader.util import * class Evaluater_beat_aligned_data(BaseEvaluater): """ Evaluater class """ def __init__(self, model, criterion, metric_ftns, config, checkpoint_dir=None, result_dir=None): super().__init__(model, criterion, metric_ftns, config, checkpoint_dir, result_dir) self.config = config # self.beat_length = config["evaluater"]["beat_length"] self.test_metrics = MetricTracker('loss', *[m.__name__ for m in self.metric_ftns]) self.num_classes = config['arch']['args']['num_classes'] self.lead_number = config['data_loader']['args']['lead_number'] self.split_index = config['data_loader']['args']['split_index'] self.label_dir = config['data_loader']['args']['label_dir'] self.resample_Fs = config["data_loader"]['args']["resample_Fs"] self.window_size = config["data_loader"]['args']["window_size"] self.n_segment = config["evaluater"]["n_segment"] self.save_dir = config["data_loader"]["args"]["save_dir"] self.seg_with_r = config["data_loader"]["args"]["seg_with_r"] self.sigmoid = nn.Sigmoid() split_idx = loadmat(self.split_index) train_index, val_index, test_index = split_idx['train_index'], split_idx['val_index'], split_idx['test_index'] self.test_index = test_index.reshape((test_index.shape[1], )) # self.train_info = np.array(np.load(os.pandasth.join(self.save_dir, 'train_info' + str(self.window_size) + '_' + str(self.resample_Fs) + '_' + str(self.seg_with_r) + '.npy'))) if self.lead_number == 2: # two leads self.leads_index = [1, 10] elif self.lead_number == 3: # three leads self.leads_index = [0, 1, 7] elif self.lead_number == 6: # six leads self.leads_index = [0, 1, 2, 3, 4, 5] elif self.lead_number == 8: # eight leads self.leads_index = [0, 1, 6, 7, 8, 9, 10, 11] else: self.leads_index = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] def evaluate(self): """ Evaluate after training procedure finished """ self.model.eval() weights_file = 'weights.csv' normal_class = '426783006' equivalent_classes = [['713427006', '59118001'], ['284470004', '63593006'], ['427172004', '17338001']] # Find the label files. print('Finding label...') label_files = load_label_files(self.label_dir) # Load the labels and classes. print('Loading labels...') classes, labels_onehot, labels = load_labels(label_files, normal_class, equivalent_classes) self.classes = classes # Load the weights for the Challenge metric. print('Loading weights...') weights = load_weights(weights_file, classes) self.weights = weights # Classes that are scored with the Challenge metric. indices = np.any(weights, axis=0) # Find indices of classes in weight matrix. # Get number of samples for each category self.indices = indices num_files = len(label_files) output_logits = [] targets = [] recordings_saved = np.load(os.path.join('/data/ecg/challenge2020/data/recordings_' + str(5000) + '_' + str( 500) + '_' + str(False) + '.npy')) ratio_saved = np.load(os.path.join('/data/ecg/challenge2020/data/info_' + str(5000) + '_' + str( 500) + '_' + str(False) + '.npy')) for i in range(num_files): recording, header, name = load_challenge_data(label_files[i], self.label_dir) if i in self.test_index and name[0] != 'A' and name[0] != 'Q': print('{}/{}'.format(i + 1, num_files)) recording = [recordings_saved[i]] info2save = ratio_saved[i] if info2save.sum() <= 0: continue if recording is None: continue data, info = torch.tensor(recording), torch.tensor(info2save) data = data[:, self.leads_index, :, :] # info -= self.train_info.mean() # info /= self.train_info.std() data, info = data.to(self.device, dtype=torch.float), info.to(self.device, dtype=torch.float) output = self.model(data, info) output_logit = torch.sigmoid(output) output_logit = output_logit.detach().cpu().numpy() output_logit = np.mean(output_logit, axis=0) output_logits.append(output_logit) targets.append(labels_onehot[i]) output_logits = np.array(output_logits) targets = np.array(targets) for met in self.metric_ftns: self.test_metrics.update(met.__name__, met(output_logits, targets)) result = self.test_metrics.result() # print logged informations to the screen for key, value in result.items(): self.logger.info(' {:15s}: {}'.format(str(key), value)) class Evaluater(BaseEvaluater): """ Evaluater class """ def __init__(self, model, criterion, metric_ftns, config, checkpoint_dir=None, result_dir=None): super().__init__(model, criterion, metric_ftns, config, checkpoint_dir, result_dir) self.config = config self.test_metrics = MetricTracker('loss', *[m.__name__ for m in self.metric_ftns]) self.num_classes = config['arch']['args']['num_classes'] self.lead_number = config['data_loader']['args']['lead_number'] self.split_index = config['data_loader']['args']['split_index'] self.label_dir = config['data_loader']['args']['label_dir'] self.resample_Fs = config["data_loader"]['args']["resample_Fs"] self.window_size = config["data_loader"]['args']["window_size"] self.n_segment = config["evaluater"]["n_segment"] self.sigmoid = nn.Sigmoid() split_idx = loadmat(self.split_index) train_index, val_index, test_index = split_idx['train_index'], split_idx['val_index'], split_idx['test_index'] self.test_index = test_index.reshape((test_index.shape[1], )) if self.lead_number == 2: # two leads self.leads_index = [1, 10] elif self.lead_number == 3: # three leads self.leads_index = [0, 1, 7] elif self.lead_number == 6: # six leads self.leads_index = [0, 1, 2, 3, 4, 5] elif self.lead_number == 8: # eight leads self.leads_index = [0, 1, 6, 7, 8, 9, 10, 11] else: self.leads_index = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] def evaluate(self): """ Evaluate after training procedure finished """ self.model.eval() weights_file = 'weights.csv' normal_class = '426783006' equivalent_classes = [['713427006', '59118001'], ['284470004', '63593006'], ['427172004', '17338001']] # Find the label files. print('Finding label...') label_files = load_label_files(self.label_dir) # Load the labels and classes. print('Loading labels...') classes, labels_onehot, labels = load_labels(label_files, normal_class, equivalent_classes) self.classes = classes # Load the weights for the Challenge metric. print('Loading weights...') weights = load_weights(weights_file, classes) self.weights = weights # Classes that are scored with the Challenge metric. indices = np.any(weights, axis=0) # Find indices of classes in weight matrix. # Get number of samples for each category self.indices = indices num_files = len(label_files) output_logits = [] targets = [] for i in range(num_files): recording, header, name = load_challenge_data(label_files[i], self.label_dir) if i in self.test_index and name[0] != 'A' and name[0] != 'Q': print('{}/{}'.format(i + 1, num_files)) output_logit = self.run_my_model(header, recording) output_logits.append(output_logit) targets.append(labels_onehot[i]) output_logits = np.array(output_logits) targets = np.array(targets) for met in self.metric_ftns: self.test_metrics.update(met.__name__, met(output_logits, targets)) result = self.test_metrics.result() # print logged informations to the screen for key, value in result.items(): self.logger.info(' {:15s}: {}'.format(str(key), value)) def run_my_model(self, header, recording): recording[np.isnan(recording)] = 0 # divide ADC_gain and resample recording = resample(recording, header, self.resample_Fs) recording = recording[self.leads_index, :] # slide and cut recording = slide_and_cut(recording, self.n_segment, self.window_size, self.resample_Fs) data = torch.tensor(recording) data = data.to(self.device, dtype=torch.float) output = self.model(data) output_logit = torch.sigmoid(output) output_logit = output_logit.detach().cpu().numpy() output_logit = np.mean(output_logit, axis=0) return output_logit

40.125

184

0.590862

1,169

9,630

4.646707

0.160821

0.028351

0.035346

0.044183

0.834683

0.830449

0.815169

0

0.035172

0.282555

9,630

240

185

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0.111423

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0

null

0

1

0

1

0

null

0

7

670fefe8c2bcb2f40a0ec657f409764f1c778a8a

182

py

Python

Statistics/Variance.py

rar9898/StatisticalCalculator

34ffd7e9e60facd5cce7af3e43ceb244f741138b

[ "MIT" ]

null

Statistics/Variance.py

rar9898/StatisticalCalculator

34ffd7e9e60facd5cce7af3e43ceb244f741138b

[ "MIT" ]

null

Statistics/Variance.py

rar9898/StatisticalCalculator

34ffd7e9e60facd5cce7af3e43ceb244f741138b

[ "MIT" ]

null

from Calculator.Square import square from Statistics.StandardDeviation import standard_deviation def variance(numbers): # complete return square(standard_deviation(numbers))

22.75

59

0.824176

20

182

7.4

0.65

0.22973

0

0.120879

182

7

60

26

0.925

0.043956

0

1

0.25

false

0

0.5

0.25

1

0

1

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null

1

0

1

0

null

0

1

0

1

0

7

671ef438bc3f69acea840e4dca9042761b0d3573

168

py

Python

ibsng/handler/admin/expire_all_admin_o_t_ps.py

ParspooyeshFanavar/pyibsng

d48bcf4f25e3f23461528bf0ff8870cc3d537444

[ "MIT" ]

6

2018-03-06T10:16:36.000Z

2021-12-05T12:43:10.000Z

ibsng/handler/admin/expire_all_admin_o_t_ps.py

ParspooyeshFanavar/pyibsng

d48bcf4f25e3f23461528bf0ff8870cc3d537444

[ "MIT" ]

3

2018-03-06T10:27:08.000Z

2022-01-02T15:21:27.000Z

ibsng/handler/admin/expire_all_admin_o_t_ps.py

ParspooyeshFanavar/pyibsng

d48bcf4f25e3f23461528bf0ff8870cc3d537444

[ "MIT" ]

3

2018-01-06T16:28:31.000Z

2018-09-17T19:47:19.000Z

"""Expire all admin OTPs API method.""" from ibsng.handler.handler import Handler class expireAllAdminOTPs(Handler): """Expire all admin OTPs class.""" pass

18.666667

41

0.714286

21

168

5.714286

0.619048

0.15

0.233333

0.3

0

0.172619

168

8

42

21

0.863309

0.369048

0

1

0

true

0.333333

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0.666667

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

8

677d727768c843d9e8600b74938868481ae77822

12,487

py

Python

tests/inventory/pipelines/test_data/fake_instances.py

pombredanne/forseti-security

68a9a88243460065e00b6c131b3d9abd0331fb37

[ "Apache-2.0" ]

1

2018-03-26T08:15:21.000Z

tests/inventory/pipelines/test_data/fake_instances.py

pombredanne/forseti-security

68a9a88243460065e00b6c131b3d9abd0331fb37

[ "Apache-2.0" ]

null

tests/inventory/pipelines/test_data/fake_instances.py

pombredanne/forseti-security

68a9a88243460065e00b6c131b3d9abd0331fb37

[ "Apache-2.0" ]

null

#!/usr/bin/env python # Copyright 2017 The Forseti Security Authors. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the 'License'); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or 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. '''Test instances data.''' FAKE_API_RESPONSE1 = [ { 'kind': 'compute#instance', 'id': '6440513679799924564', 'creationTimestamp': '2017-05-26T22:08:11.094-07:00', 'name': 'iap-ig-79bj', 'tags': { 'items': [ 'iap-tag' ], 'fingerprint': 'gilEhx3hEXk=' }, 'machineType': 'https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c/machineTypes/f1-micro', 'status': 'RUNNING', 'zone': 'https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c', 'canIpForward': False, 'networkInterfaces': [ { 'kind': 'compute#networkInterface', 'network': 'https://www.googleapis.com/compute/v1/projects/project1/global/networks/default', 'subnetwork': 'https://www.googleapis.com/compute/v1/projects/project1/regions/us-central1/subnetworks/default', 'networkIP': '10.128.0.2', 'name': 'nic0', 'accessConfigs': [ { 'kind': 'compute#accessConfig', 'type': 'ONE_TO_ONE_NAT', 'name': 'External NAT', 'natIP': '104.198.131.130' } ] } ], 'disks': [ { 'kind': 'compute#attachedDisk', 'type': 'PERSISTENT', 'mode': 'READ_WRITE', 'source': 'https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c/disks/iap-ig-79bj', 'deviceName': 'iap-it-1', 'index': 0, 'boot': True, 'autoDelete': True, 'licenses': [ 'https://www.googleapis.com/compute/v1/projects/debian-cloud/global/licenses/debian-8-jessie' ], 'interface': 'SCSI' } ], 'metadata': { 'kind': 'compute#metadata', 'fingerprint': '3MpZMMvDTyo=', 'items': [ { 'key': 'instance-template', 'value': 'projects/600687511243/global/instanceTemplates/iap-it-1' }, { 'key': 'created-by', 'value': 'projects/600687511243/zones/us-central1-c/instanceGroupManagers/iap-ig' } ] }, 'serviceAccounts': [ { 'email': '600687511243-compute@developer.gserviceaccount.com', 'scopes': [ 'https://www.googleapis.com/auth/devstorage.read_only', 'https://www.googleapis.com/auth/logging.write', 'https://www.googleapis.com/auth/monitoring.write', 'https://www.googleapis.com/auth/servicecontrol', 'https://www.googleapis.com/auth/service.management.readonly', 'https://www.googleapis.com/auth/trace.append' ] } ], 'selfLink': 'https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c/instances/iap-ig-79bj', 'scheduling': { 'onHostMaintenance': 'MIGRATE', 'automaticRestart': True, 'preemptible': False }, 'cpuPlatform': 'Intel Haswell' } ] FAKE_API_RESPONSE2 = [] FAKE_PROJECT_INSTANCES_MAP = { 'project1': [ { 'kind': 'compute#instance', 'id': '6440513679799924564', 'creationTimestamp': '2017-05-26T22:08:11.094-07:00', 'name': 'iap-ig-79bj', 'tags': { 'items': [ 'iap-tag' ], 'fingerprint': 'gilEhx3hEXk=' }, 'machineType': 'https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c/machineTypes/f1-micro', 'status': 'RUNNING', 'zone': 'https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c', 'canIpForward': False, 'networkInterfaces': [ { 'kind': 'compute#networkInterface', 'network': 'https://www.googleapis.com/compute/v1/projects/project1/global/networks/default', 'subnetwork': 'https://www.googleapis.com/compute/v1/projects/project1/regions/us-central1/subnetworks/default', 'networkIP': '10.128.0.2', 'name': 'nic0', 'accessConfigs': [ { 'kind': 'compute#accessConfig', 'type': 'ONE_TO_ONE_NAT', 'name': 'External NAT', 'natIP': '104.198.131.130' } ] } ], 'disks': [ { 'kind': 'compute#attachedDisk', 'type': 'PERSISTENT', 'mode': 'READ_WRITE', 'source': 'https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c/disks/iap-ig-79bj', 'deviceName': 'iap-it-1', 'index': 0, 'boot': True, 'autoDelete': True, 'licenses': [ 'https://www.googleapis.com/compute/v1/projects/debian-cloud/global/licenses/debian-8-jessie' ], 'interface': 'SCSI' } ], 'metadata': { 'kind': 'compute#metadata', 'fingerprint': '3MpZMMvDTyo=', 'items': [ { 'key': 'instance-template', 'value': 'projects/600687511243/global/instanceTemplates/iap-it-1' }, { 'key': 'created-by', 'value': 'projects/600687511243/zones/us-central1-c/instanceGroupManagers/iap-ig' } ] }, 'serviceAccounts': [ { 'email': '600687511243-compute@developer.gserviceaccount.com', 'scopes': [ 'https://www.googleapis.com/auth/devstorage.read_only', 'https://www.googleapis.com/auth/logging.write', 'https://www.googleapis.com/auth/monitoring.write', 'https://www.googleapis.com/auth/servicecontrol', 'https://www.googleapis.com/auth/service.management.readonly', 'https://www.googleapis.com/auth/trace.append' ] } ], 'selfLink': 'https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c/instances/iap-ig-79bj', 'scheduling': { 'onHostMaintenance': 'MIGRATE', 'automaticRestart': True, 'preemptible': False }, 'cpuPlatform': 'Intel Haswell' } ], } EXPECTED_LOADABLE_INSTANCES = [ { 'can_ip_forward': False, 'cpu_platform': 'Intel Haswell', 'creation_timestamp': '2017-05-26 22:08:11', 'description': None, 'disks': '[{"source": "https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c/disks/iap-ig-79bj", "kind": "compute#attachedDisk", "mode": "READ_WRITE", "autoDelete": true, "deviceName": "iap-it-1", "licenses": ["https://www.googleapis.com/compute/v1/projects/debian-cloud/global/licenses/debian-8-jessie"], "index": 0, "interface": "SCSI", "boot": true, "type": "PERSISTENT"}]', 'id': '6440513679799924564', 'machine_type': 'https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c/machineTypes/f1-micro', 'metadata': '{"items": [{"value": "projects/600687511243/global/instanceTemplates/iap-it-1", "key": "instance-template"}, {"value": "projects/600687511243/zones/us-central1-c/instanceGroupManagers/iap-ig", "key": "created-by"}], "kind": "compute#metadata", "fingerprint": "3MpZMMvDTyo="}', 'name': 'iap-ig-79bj', 'network_interfaces': '[{"kind": "compute#networkInterface", "network": "https://www.googleapis.com/compute/v1/projects/project1/global/networks/default", "accessConfigs": [{"kind": "compute#accessConfig", "type": "ONE_TO_ONE_NAT", "name": "External NAT", "natIP": "104.198.131.130"}], "networkIP": "10.128.0.2", "subnetwork": "https://www.googleapis.com/compute/v1/projects/project1/regions/us-central1/subnetworks/default", "name": "nic0"}]', 'project_id': 'project1', 'scheduling': '{"automaticRestart": true, "preemptible": false, "onHostMaintenance": "MIGRATE"}', 'service_accounts': '[{"scopes": ["https://www.googleapis.com/auth/devstorage.read_only", "https://www.googleapis.com/auth/logging.write", "https://www.googleapis.com/auth/monitoring.write", "https://www.googleapis.com/auth/servicecontrol", "https://www.googleapis.com/auth/service.management.readonly", "https://www.googleapis.com/auth/trace.append"], "email": "600687511243-compute@developer.gserviceaccount.com"}]', 'status': 'RUNNING', 'status_message': None, 'tags': '{"items": ["iap-tag"], "fingerprint": "gilEhx3hEXk="}', 'zone': 'https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c', 'raw_instance': '{"status": "RUNNING", "cpuPlatform": "Intel Haswell", "kind": "compute#instance", "machineType": "https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c/machineTypes/f1-micro", "name": "iap-ig-79bj", "zone": "https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c", "tags": {"items": ["iap-tag"], "fingerprint": "gilEhx3hEXk="}, "disks": [{"source": "https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c/disks/iap-ig-79bj", "kind": "compute#attachedDisk", "mode": "READ_WRITE", "autoDelete": true, "deviceName": "iap-it-1", "licenses": ["https://www.googleapis.com/compute/v1/projects/debian-cloud/global/licenses/debian-8-jessie"], "index": 0, "interface": "SCSI", "boot": true, "type": "PERSISTENT"}], "scheduling": {"automaticRestart": true, "preemptible": false, "onHostMaintenance": "MIGRATE"}, "canIpForward": false, "serviceAccounts": [{"scopes": ["https://www.googleapis.com/auth/devstorage.read_only", "https://www.googleapis.com/auth/logging.write", "https://www.googleapis.com/auth/monitoring.write", "https://www.googleapis.com/auth/servicecontrol", "https://www.googleapis.com/auth/service.management.readonly", "https://www.googleapis.com/auth/trace.append"], "email": "600687511243-compute@developer.gserviceaccount.com"}], "metadata": {"items": [{"value": "projects/600687511243/global/instanceTemplates/iap-it-1", "key": "instance-template"}, {"value": "projects/600687511243/zones/us-central1-c/instanceGroupManagers/iap-ig", "key": "created-by"}], "kind": "compute#metadata", "fingerprint": "3MpZMMvDTyo="}, "creationTimestamp": "2017-05-26T22:08:11.094-07:00", "id": "6440513679799924564", "selfLink": "https://www.googleapis.com/compute/v1/projects/project1/zones/us-central1-c/instances/iap-ig-79bj", "networkInterfaces": [{"kind": "compute#networkInterface", "network": "https://www.googleapis.com/compute/v1/projects/project1/global/networks/default", "accessConfigs": [{"kind": "compute#accessConfig", "type": "ONE_TO_ONE_NAT", "name": "External NAT", "natIP": "104.198.131.130"}], "networkIP": "10.128.0.2", "subnetwork": "https://www.googleapis.com/compute/v1/projects/project1/regions/us-central1/subnetworks/default", "name": "nic0"}]}', } ]

57.810185

2,253

0.563386

1,203

12,487

5.815461

0.179551

0.058319

0.131218

0.153087

0.866638

0.856061

0.836049

0.830475

0

0.055969

0.267398

12,487

215

2,254

58.07907

0.708789

0.050292

0

0.671795

0

0.107692

0.664358

0.090287

0

1

0

false

0

0.035897

0

null

0

1

0

1

0

1

0

null

0

8

58afd36de9093d093d64c04829a07959540bc689

4,219

py

Python

Model/model/FCN.py

LovingThresh/CJTeam

ce03e107e0b33ac8132d4d6369fd7f98013e7563

[ "Apache-2.0" ]

1

2022-03-28T05:57:45.000Z

Model/model/FCN.py

LovingThresh/CJTeam

ce03e107e0b33ac8132d4d6369fd7f98013e7563

[ "Apache-2.0" ]

null

Model/model/FCN.py

LovingThresh/CJTeam

ce03e107e0b33ac8132d4d6369fd7f98013e7563

[ "Apache-2.0" ]

null

from base import * # model是网络对象 model = object # FCN系列网络-FCN-8s，FCN-16s，FCN-32s # 在经典的VGGNet的基础上，把VGG网络最后的全连接层全部去掉，换为卷积层 def FCN_32sDecoder(Encoder, feature_list=None, out_num=None): global model f1, f2, f3, f4 = feature_list Encoder_out_layer = Encoder.output # D_block1 x = keras.layers.Conv2D(4096, (7, 7), strides=(1, 1), activation='relu', padding='same', name='D_block1_conv1')(Encoder_out_layer) x = keras.layers.Dropout(0.5)(x) x = keras.layers.Conv2D(4096, (1, 1), strides=(1, 1), padding='same', activation='relu', name='D_block1_conv2')(x) x = keras.layers.Dropout(0.5)(x) # D_block2 x = keras.layers.Conv2D(out_num, (1, 1), kernel_initializer='he_normal', name='Seg_feats')(x) # D_block3 x = keras.layers.Conv2DTranspose(out_num, (64, 64), strides=(32, 32), use_bias=False, name='D_block3_Tconv1')(x) model = keras.models.Model(inputs=Encoder.input, outputs=x, name='FCN_32s') return model def FCN_16sDecoder(Encoder, feature_list=None, out_num=None): global model f1, f2, f3, f4, _ = feature_list Encoder_out_layer = Encoder.output # D_block1 x = keras.layers.Conv2D(4096, (7, 7), strides=(1, 1), activation='relu', padding='same', name='D_block1_conv1')(Encoder_out_layer) x = keras.layers.Dropout(0.5)(x) x = keras.layers.Conv2D(4096, (1, 1), strides=(1, 1), padding='same', activation='relu', name='D_block1_conv2')(x) x = keras.layers.Dropout(0.5)(x) # D_block2 x = keras.layers.Conv2D(out_num, (1, 1), kernel_initializer='he_normal', name='Seg_feats')(x) # D_block3 x = keras.layers.Conv2DTranspose(out_num, (4, 4), (2, 2), use_bias=False, name='D_block3_Tconv1')(x) # D_block4 x = keras.layers.Conv2DTranspose(out_num, (4, 4), strides=(2, 2), use_bias=False, name='D_block4_Tconv1')(x) # D_block5 f3 = keras.layers.Conv2D(out_num, (1, 1), kernel_initializer='he_normal', name='D_block5_conv1')(f3) x = keras.layers.Add(name='D_block5_add1')([x, f3]) x = keras.layers.Conv2DTranspose(out_num, (16, 16), strides=(8, 8), use_bias=False, name='D_block5')(x) model = keras.models.Model(inputs=Encoder.input, outputs=x, name='FCN_8s') return model def FCN_8sDecoder(Encoder, feature_list=None, out_num=None): global model f1, f2, f3, f4, _ = feature_list Encoder_out_layer = Encoder.output # D_block1 x = keras.layers.Conv2D(4096, (7, 7), strides=(1, 1), activation='relu', padding='same', name='D_block1_conv1')(Encoder_out_layer) x = keras.layers.Dropout(0.5)(x) x = keras.layers.Conv2D(4096, (1, 1), strides=(1, 1), padding='same', activation='relu', name='D_block1_conv2')(x) x = keras.layers.Dropout(0.5)(x) # D_block2 x = keras.layers.Conv2D(out_num, (1, 1), kernel_initializer='he_normal', name='Seg_feats')(x) # D_block3 x = keras.layers.Conv2DTranspose(out_num, (4, 4), (2, 2), use_bias=False, name='D_block3_Tconv1')(x) # D_block4 f4 = keras.layers.Conv2D(out_num, (1, 1), kernel_initializer='he_normal', name='D_block4_conv1')(f4) x = keras.layers.Add(name='D_block4_add1')([x, f4]) x = keras.layers.Conv2DTranspose(out_num, (4, 4), strides=(2, 2), use_bias=False, name='D_block4_Tconv1')(x) # D_block5 f3 = keras.layers.Conv2D(out_num, (1, 1), kernel_initializer='he_normal', name='D_block5_conv1')(f3) x = keras.layers.Add(name='D_block5_add1')([x, f3]) x = keras.layers.Conv2DTranspose(out_num, (16, 16), strides=(8, 8), use_bias=False, name='D_block5')(x) model = keras.models.Model(inputs=Encoder.input, outputs=x, name='FCN_8s') return model

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1

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null

0

7

4525670312c778b35d334d57947620a66304417f

8,837

py

Python

new_code/model.py

Cozyzheng/RS_DL_Junyi

c2c894ee9a2c6d4d5ffba6504c3c5f55ffda03d3

[ "MIT" ]

null

new_code/model.py

Cozyzheng/RS_DL_Junyi

c2c894ee9a2c6d4d5ffba6504c3c5f55ffda03d3

[ "MIT" ]

null

new_code/model.py

Cozyzheng/RS_DL_Junyi

c2c894ee9a2c6d4d5ffba6504c3c5f55ffda03d3

[ "MIT" ]

null

import tensorflow as tf from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Conv2D,MaxPooling2D,UpSampling2D,BatchNormalization,Reshape,Permute,Activation from tensorflow.keras.optimizers import Adam from cfg import * img_w = 256 img_h = 256 lr_init = 0.01 lr_decay = 0.00001 def SegNet(): model = Sequential() #encoder model.add(Conv2D(64,(3,3),strides=(1,1),input_shape=(img_w,img_h,3),padding='same',activation='relu',data_format='channels_last')) model.add(BatchNormalization()) model.add(Conv2D(64,(3,3),strides=(1,1),padding='same',activation='relu')) model.add(BatchNormalization()) model.add(MaxPooling2D(pool_size=(2,2))) #(128,128) model.add(Conv2D(128, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(128, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(MaxPooling2D(pool_size=(2,2))) #(64,64) model.add(Conv2D(256, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(256, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(256, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(MaxPooling2D(pool_size=(2, 2))) #(32,32) model.add(Conv2D(512, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(512, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(512, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(MaxPooling2D(pool_size=(2, 2))) #(16,16) model.add(Conv2D(512, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(512, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(512, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(MaxPooling2D(pool_size=(2, 2))) #(8,8) #decoder model.add(UpSampling2D(size=(2,2))) #(16,16) model.add(Conv2D(512, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(512, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(512, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(UpSampling2D(size=(2, 2))) #(32,32) model.add(Conv2D(512, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(512, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(512, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(UpSampling2D(size=(2, 2))) #(64,64) model.add(Conv2D(256, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(256, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(256, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(UpSampling2D(size=(2, 2))) #(128,128) model.add(Conv2D(128, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(128, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(UpSampling2D(size=(2, 2))) #(256,256) model.add(Conv2D(64, (3, 3), strides=(1, 1), input_shape=(img_w, img_h,3), padding='same', activation='relu',data_format='channels_last')) model.add(BatchNormalization()) model.add(Conv2D(64, (3, 3), strides=(1, 1), padding='same', activation='relu')) model.add(BatchNormalization()) model.add(Conv2D(n_label, (1, 1), strides=(1, 1), padding='same')) model.add(Activation('softmax')) model.compile(optimizer=Adam(lr=lr_init, decay=lr_decay), loss='categorical_crossentropy', metrics=['categorical_accuracy']) # model.summary() return model def unet(num_classes, input_shape, lr_init, lr_decay): img_input = Input(input_shape) # Block 1 x = Conv2D(64, (3, 3), padding='same', name='block1_conv1')(img_input) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(64, (3, 3), padding='same', name='block1_conv2')(x) x = BatchNormalization()(x) block_1_out = Activation('relu')(x) x = MaxPooling2D()(block_1_out) # Block 2 x = Conv2D(128, (3, 3), padding='same', name='block2_conv1')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(128, (3, 3), padding='same', name='block2_conv2')(x) x = BatchNormalization()(x) block_2_out = Activation('relu')(x) x = MaxPooling2D()(block_2_out) # Block 3 x = Conv2D(256, (3, 3), padding='same', name='block3_conv1')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(256, (3, 3), padding='same', name='block3_conv2')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(256, (3, 3), padding='same', name='block3_conv3')(x) x = BatchNormalization()(x) block_3_out = Activation('relu')(x) x = MaxPooling2D()(block_3_out) # Block 4 x = Conv2D(512, (3, 3), padding='same', name='block4_conv1')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(512, (3, 3), padding='same', name='block4_conv2')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(512, (3, 3), padding='same', name='block4_conv3')(x) x = BatchNormalization()(x) block_4_out = Activation('relu')(x) x = MaxPooling2D()(block_4_out) # Block 5 x = Conv2D(512, (3, 3), padding='same', name='block5_conv1')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(512, (3, 3), padding='same', name='block5_conv2')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(512, (3, 3), padding='same', name='block5_conv3')(x) x = BatchNormalization()(x) x = Activation('relu')(x) # UP 1 x = Conv2DTranspose(512, (2, 2), strides=(2, 2), padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = concatenate([x, block_4_out]) x = Conv2D(512, (3, 3), padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(512, (3, 3), padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) # UP 2 x = Conv2DTranspose(256, (2, 2), strides=(2, 2), padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = concatenate([x, block_3_out]) x = Conv2D(256, (3, 3), padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(256, (3, 3), padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) # UP 3 x = Conv2DTranspose(128, (2, 2), strides=(2, 2), padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = concatenate([x, block_2_out]) x = Conv2D(128, (3, 3), padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(128, (3, 3), padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) # UP 4 x = Conv2DTranspose(64, (2, 2), strides=(2, 2), padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = concatenate([x, block_1_out]) x = Conv2D(64, (3, 3), padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) x = Conv2D(64, (3, 3), padding='same')(x) x = BatchNormalization()(x) x = Activation('relu')(x) # last conv x = Conv2D(num_classes, (3, 3), activation='softmax', padding='same')(x) model = Model(img_input, x) model.compile(optimizer=Adam(lr=lr_init, decay=lr_decay), loss='categorical_crossentropy', metrics=['categorical_accuracy']) model.summary() return model if __name__ == "__main__": img_w = 256 img_h = 256 lr_init = 0.01 lr_decay = 0.00001 model = SegNet() model.summary() print(1)

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null

0

7

18cd4de6cc9c583a3059f9bb7f5e1bf0ee801d7a

5,269

py

Python

asv_bench/benchmarks/parser_vb.py

springcoil/pandas

945075ad78cef652039feb50d60092b0580604e6

[ "PSF-2.0", "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]

2

2017-05-07T02:08:12.000Z

2017-12-14T01:47:47.000Z

asv_bench/benchmarks/parser_vb.py

springcoil/pandas

945075ad78cef652039feb50d60092b0580604e6

[ "PSF-2.0", "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]

null

asv_bench/benchmarks/parser_vb.py

springcoil/pandas

945075ad78cef652039feb50d60092b0580604e6

[ "PSF-2.0", "Apache-2.0", "BSD-2-Clause", "BSD-3-Clause" ]

1

2020-12-09T12:02:39.000Z

from .pandas_vb_common import * import os from pandas import read_csv, read_table try: from cStringIO import StringIO except ImportError: from io import StringIO class read_csv_comment2(object): goal_time = 0.2 def setup(self): self.data = ['A,B,C'] self.data = (self.data + (['1,2,3 # comment'] * 100000)) self.data = '\n'.join(self.data) def time_read_csv_comment2(self): read_csv(StringIO(self.data), comment='#') class read_csv_default_converter(object): goal_time = 0.2 def setup(self): self.data = '0.1213700904466425978256438611,0.0525708283766902484401839501,0.4174092731488769913994474336\n 0.4096341697147408700274695547,0.1587830198973579909349496119,0.1292545832485494372576795285\n 0.8323255650024565799327547210,0.9694902427379478160318626578,0.6295047811546814475747169126\n 0.4679375305798131323697930383,0.2963942381834381301075609371,0.5268936082160610157032465394\n 0.6685382761849776311890991564,0.6721207066140679753374342908,0.6519975277021627935170045020\n ' self.data = (self.data * 200) def time_read_csv_default_converter(self): read_csv(StringIO(self.data), sep=',', header=None, float_precision=None) class read_csv_precise_converter(object): goal_time = 0.2 def setup(self): self.data = '0.1213700904466425978256438611,0.0525708283766902484401839501,0.4174092731488769913994474336\n 0.4096341697147408700274695547,0.1587830198973579909349496119,0.1292545832485494372576795285\n 0.8323255650024565799327547210,0.9694902427379478160318626578,0.6295047811546814475747169126\n 0.4679375305798131323697930383,0.2963942381834381301075609371,0.5268936082160610157032465394\n 0.6685382761849776311890991564,0.6721207066140679753374342908,0.6519975277021627935170045020\n ' self.data = (self.data * 200) def time_read_csv_precise_converter(self): read_csv(StringIO(self.data), sep=',', header=None, float_precision='high') class read_csv_roundtrip_converter(object): goal_time = 0.2 def setup(self): self.data = '0.1213700904466425978256438611,0.0525708283766902484401839501,0.4174092731488769913994474336\n 0.4096341697147408700274695547,0.1587830198973579909349496119,0.1292545832485494372576795285\n 0.8323255650024565799327547210,0.9694902427379478160318626578,0.6295047811546814475747169126\n 0.4679375305798131323697930383,0.2963942381834381301075609371,0.5268936082160610157032465394\n 0.6685382761849776311890991564,0.6721207066140679753374342908,0.6519975277021627935170045020\n ' self.data = (self.data * 200) def time_read_csv_roundtrip_converter(self): read_csv(StringIO(self.data), sep=',', header=None, float_precision='round_trip') class read_csv_thou_vb(object): goal_time = 0.2 def setup(self): self.N = 10000 self.K = 8 self.format = (lambda x: '{:,}'.format(x)) self.df = DataFrame((np.random.randn(self.N, self.K) * np.random.randint(100, 10000, (self.N, self.K)))) self.df = self.df.applymap(self.format) self.df.to_csv('test.csv', sep='|') def time_read_csv_thou_vb(self): read_csv('test.csv', sep='|', thousands=',') def teardown(self): os.remove('test.csv') class read_csv_vb(object): goal_time = 0.2 def setup(self): self.N = 10000 self.K = 8 self.df = DataFrame((np.random.randn(self.N, self.K) * np.random.randint(100, 10000, (self.N, self.K)))) self.df.to_csv('test.csv', sep='|') def time_read_csv_vb(self): read_csv('test.csv', sep='|') def teardown(self): os.remove('test.csv') class read_table_multiple_date(object): goal_time = 0.2 def setup(self): self.N = 10000 self.K = 8 self.data = 'KORD,19990127, 19:00:00, 18:56:00, 0.8100, 2.8100, 7.2000, 0.0000, 280.0000\n KORD,19990127, 20:00:00, 19:56:00, 0.0100, 2.2100, 7.2000, 0.0000, 260.0000\n KORD,19990127, 21:00:00, 20:56:00, -0.5900, 2.2100, 5.7000, 0.0000, 280.0000\n KORD,19990127, 21:00:00, 21:18:00, -0.9900, 2.0100, 3.6000, 0.0000, 270.0000\n KORD,19990127, 22:00:00, 21:56:00, -0.5900, 1.7100, 5.1000, 0.0000, 290.0000\n ' self.data = (self.data * 200) def time_read_table_multiple_date(self): read_table(StringIO(self.data), sep=',', header=None, parse_dates=[[1, 2], [1, 3]]) class read_table_multiple_date_baseline(object): goal_time = 0.2 def setup(self): self.N = 10000 self.K = 8 self.data = 'KORD,19990127 19:00:00, 18:56:00, 0.8100, 2.8100, 7.2000, 0.0000, 280.0000\n KORD,19990127 20:00:00, 19:56:00, 0.0100, 2.2100, 7.2000, 0.0000, 260.0000\n KORD,19990127 21:00:00, 20:56:00, -0.5900, 2.2100, 5.7000, 0.0000, 280.0000\n KORD,19990127 21:00:00, 21:18:00, -0.9900, 2.0100, 3.6000, 0.0000, 270.0000\n KORD,19990127 22:00:00, 21:56:00, -0.5900, 1.7100, 5.1000, 0.0000, 290.0000\n ' self.data = (self.data * 200) def time_read_table_multiple_date_baseline(self): read_table(StringIO(self.data), sep=',', header=None, parse_dates=[1])

47.044643

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null

0

1

0

1

0

10

e1399c753cc8ce10f4e8ea269805de7fb6721c85

16,139

py

Python

sdk/python/pulumi_azure/apimanagement/group_user.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

109

2018-06-18T00:19:44.000Z

2022-02-20T05:32:57.000Z

sdk/python/pulumi_azure/apimanagement/group_user.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

663

2018-06-18T21:08:46.000Z

2022-03-31T20:10:11.000Z

sdk/python/pulumi_azure/apimanagement/group_user.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

41

2018-07-19T22:37:38.000Z

2022-03-14T10:56:26.000Z

# 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 __all__ = ['GroupUserArgs', 'GroupUser'] @pulumi.input_type class GroupUserArgs: def __init__(__self__, *, api_management_name: pulumi.Input[str], group_name: pulumi.Input[str], resource_group_name: pulumi.Input[str], user_id: pulumi.Input[str]): """ The set of arguments for constructing a GroupUser resource. :param pulumi.Input[str] api_management_name: The name of the API Management Service. Changing this forces a new resource to be created. :param pulumi.Input[str] group_name: The Name of the API Management Group within the API Management Service. Changing this forces a new resource to be created. :param pulumi.Input[str] resource_group_name: The name of the Resource Group in which the API Management Service exists. Changing this forces a new resource to be created. :param pulumi.Input[str] user_id: The ID of the API Management User which should be assigned to this API Management Group. Changing this forces a new resource to be created. """ pulumi.set(__self__, "api_management_name", api_management_name) pulumi.set(__self__, "group_name", group_name) pulumi.set(__self__, "resource_group_name", resource_group_name) pulumi.set(__self__, "user_id", user_id) @property @pulumi.getter(name="apiManagementName") def api_management_name(self) -> pulumi.Input[str]: """ The name of the API Management Service. Changing this forces a new resource to be created. """ return pulumi.get(self, "api_management_name") @api_management_name.setter def api_management_name(self, value: pulumi.Input[str]): pulumi.set(self, "api_management_name", value) @property @pulumi.getter(name="groupName") def group_name(self) -> pulumi.Input[str]: """ The Name of the API Management Group within the API Management Service. Changing this forces a new resource to be created. """ return pulumi.get(self, "group_name") @group_name.setter def group_name(self, value: pulumi.Input[str]): pulumi.set(self, "group_name", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Input[str]: """ The name of the Resource Group in which the API Management Service exists. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="userId") def user_id(self) -> pulumi.Input[str]: """ The ID of the API Management User which should be assigned to this API Management Group. Changing this forces a new resource to be created. """ return pulumi.get(self, "user_id") @user_id.setter def user_id(self, value: pulumi.Input[str]): pulumi.set(self, "user_id", value) @pulumi.input_type class _GroupUserState: def __init__(__self__, *, api_management_name: Optional[pulumi.Input[str]] = None, group_name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, user_id: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering GroupUser resources. :param pulumi.Input[str] api_management_name: The name of the API Management Service. Changing this forces a new resource to be created. :param pulumi.Input[str] group_name: The Name of the API Management Group within the API Management Service. Changing this forces a new resource to be created. :param pulumi.Input[str] resource_group_name: The name of the Resource Group in which the API Management Service exists. Changing this forces a new resource to be created. :param pulumi.Input[str] user_id: The ID of the API Management User which should be assigned to this API Management Group. Changing this forces a new resource to be created. """ if api_management_name is not None: pulumi.set(__self__, "api_management_name", api_management_name) if group_name is not None: pulumi.set(__self__, "group_name", group_name) if resource_group_name is not None: pulumi.set(__self__, "resource_group_name", resource_group_name) if user_id is not None: pulumi.set(__self__, "user_id", user_id) @property @pulumi.getter(name="apiManagementName") def api_management_name(self) -> Optional[pulumi.Input[str]]: """ The name of the API Management Service. Changing this forces a new resource to be created. """ return pulumi.get(self, "api_management_name") @api_management_name.setter def api_management_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "api_management_name", value) @property @pulumi.getter(name="groupName") def group_name(self) -> Optional[pulumi.Input[str]]: """ The Name of the API Management Group within the API Management Service. Changing this forces a new resource to be created. """ return pulumi.get(self, "group_name") @group_name.setter def group_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "group_name", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> Optional[pulumi.Input[str]]: """ The name of the Resource Group in which the API Management Service exists. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="userId") def user_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the API Management User which should be assigned to this API Management Group. Changing this forces a new resource to be created. """ return pulumi.get(self, "user_id") @user_id.setter def user_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "user_id", value) class GroupUser(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, api_management_name: Optional[pulumi.Input[str]] = None, group_name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, user_id: Optional[pulumi.Input[str]] = None, __props__=None): """ Manages an API Management User Assignment to a Group. ## Example Usage ```python import pulumi import pulumi_azure as azure example_user = azure.apimanagement.get_user(user_id="my-user", api_management_name="example-apim", resource_group_name="search-service") example_group_user = azure.apimanagement.GroupUser("exampleGroupUser", user_id=example_user.id, group_name="example-group", resource_group_name=example_user.resource_group_name, api_management_name=example_user.api_management_name) ``` ## Import API Management Group Users can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:apimanagement/groupUser:GroupUser example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.ApiManagement/service/service1/groups/groupId/users/user123 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] api_management_name: The name of the API Management Service. Changing this forces a new resource to be created. :param pulumi.Input[str] group_name: The Name of the API Management Group within the API Management Service. Changing this forces a new resource to be created. :param pulumi.Input[str] resource_group_name: The name of the Resource Group in which the API Management Service exists. Changing this forces a new resource to be created. :param pulumi.Input[str] user_id: The ID of the API Management User which should be assigned to this API Management Group. Changing this forces a new resource to be created. """ ... @overload def __init__(__self__, resource_name: str, args: GroupUserArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Manages an API Management User Assignment to a Group. ## Example Usage ```python import pulumi import pulumi_azure as azure example_user = azure.apimanagement.get_user(user_id="my-user", api_management_name="example-apim", resource_group_name="search-service") example_group_user = azure.apimanagement.GroupUser("exampleGroupUser", user_id=example_user.id, group_name="example-group", resource_group_name=example_user.resource_group_name, api_management_name=example_user.api_management_name) ``` ## Import API Management Group Users can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:apimanagement/groupUser:GroupUser example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.ApiManagement/service/service1/groups/groupId/users/user123 ``` :param str resource_name: The name of the resource. :param GroupUserArgs 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(GroupUserArgs, 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, api_management_name: Optional[pulumi.Input[str]] = None, group_name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, user_id: 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__ = GroupUserArgs.__new__(GroupUserArgs) if api_management_name is None and not opts.urn: raise TypeError("Missing required property 'api_management_name'") __props__.__dict__["api_management_name"] = api_management_name if group_name is None and not opts.urn: raise TypeError("Missing required property 'group_name'") __props__.__dict__["group_name"] = group_name if resource_group_name is None and not opts.urn: raise TypeError("Missing required property 'resource_group_name'") __props__.__dict__["resource_group_name"] = resource_group_name if user_id is None and not opts.urn: raise TypeError("Missing required property 'user_id'") __props__.__dict__["user_id"] = user_id super(GroupUser, __self__).__init__( 'azure:apimanagement/groupUser:GroupUser', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, api_management_name: Optional[pulumi.Input[str]] = None, group_name: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, user_id: Optional[pulumi.Input[str]] = None) -> 'GroupUser': """ Get an existing GroupUser 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] api_management_name: The name of the API Management Service. Changing this forces a new resource to be created. :param pulumi.Input[str] group_name: The Name of the API Management Group within the API Management Service. Changing this forces a new resource to be created. :param pulumi.Input[str] resource_group_name: The name of the Resource Group in which the API Management Service exists. Changing this forces a new resource to be created. :param pulumi.Input[str] user_id: The ID of the API Management User which should be assigned to this API Management Group. Changing this forces a new resource to be created. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _GroupUserState.__new__(_GroupUserState) __props__.__dict__["api_management_name"] = api_management_name __props__.__dict__["group_name"] = group_name __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["user_id"] = user_id return GroupUser(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="apiManagementName") def api_management_name(self) -> pulumi.Output[str]: """ The name of the API Management Service. Changing this forces a new resource to be created. """ return pulumi.get(self, "api_management_name") @property @pulumi.getter(name="groupName") def group_name(self) -> pulumi.Output[str]: """ The Name of the API Management Group within the API Management Service. Changing this forces a new resource to be created. """ return pulumi.get(self, "group_name") @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Output[str]: """ The name of the Resource Group in which the API Management Service exists. Changing this forces a new resource to be created. """ return pulumi.get(self, "resource_group_name") @property @pulumi.getter(name="userId") def user_id(self) -> pulumi.Output[str]: """ The ID of the API Management User which should be assigned to this API Management Group. Changing this forces a new resource to be created. """ return pulumi.get(self, "user_id")

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7

e1935e55123ceba264733a98587a6e94fbf3ae11

3,907

py

Python

fetch/__init__.py

janwithb/custom-fetch-gym-environment

0f5ca00d5b1f81df2c9d0b540ac1960edfd79caf

[ "Apache-2.0" ]

null

fetch/__init__.py

janwithb/custom-fetch-gym-environment

0f5ca00d5b1f81df2c9d0b540ac1960edfd79caf

[ "Apache-2.0" ]

null

fetch/__init__.py

janwithb/custom-fetch-gym-environment

0f5ca00d5b1f81df2c9d0b540ac1960edfd79caf

[ "Apache-2.0" ]

null

from gym.envs.registration import register register( id='FetchReach-v2', entry_point='fetch.reach:FetchReachEnv', kwargs={ 'reward_type': 'dense', 'randomize_light': False, 'randomize_camera': False, 'randomize_target_color': False, 'randomize_target_size': False, 'randomize_table_color': False, 'randomize_floor_color': False, 'randomize_background_color': False, 'randomize_robot_color': False }, max_episode_steps=250, ) register( id='FetchReachRandom-v2', entry_point='fetch.reach:FetchReachEnv', kwargs={ 'reward_type': 'dense', 'randomize_light': True, 'randomize_camera': True, 'randomize_target_color': True, 'randomize_target_size': True, 'randomize_table_color': True, 'randomize_floor_color': True, 'randomize_background_color': True, 'randomize_robot_color': True }, max_episode_steps=250, ) register( id='FetchReachRandomLight-v2', entry_point='fetch.reach:FetchReachEnv', kwargs={ 'reward_type': 'dense', 'randomize_light': True, 'randomize_camera': False, 'randomize_target_color': False, 'randomize_target_size': False, 'randomize_table_color': False, 'randomize_floor_color': False, 'randomize_background_color': False, 'randomize_robot_color': False }, max_episode_steps=250, ) register( id='FetchReachRandomCamera-v2', entry_point='fetch.reach:FetchReachEnv', kwargs={ 'reward_type': 'dense', 'randomize_light': False, 'randomize_camera': True, 'randomize_target_color': False, 'randomize_target_size': False, 'randomize_table_color': False, 'randomize_floor_color': False, 'randomize_background_color': False, 'randomize_robot_color': False }, max_episode_steps=250, ) register( id='FetchReachRandomTarget-v2', entry_point='fetch.reach:FetchReachEnv', kwargs={ 'reward_type': 'dense', 'randomize_light': False, 'randomize_camera': False, 'randomize_target_color': True, 'randomize_target_size': True, 'randomize_table_color': False, 'randomize_floor_color': False, 'randomize_background_color': False, 'randomize_robot_color': False }, max_episode_steps=250, ) register( id='FetchReachRandomFloor-v2', entry_point='fetch.reach:FetchReachEnv', kwargs={ 'reward_type': 'dense', 'randomize_light': False, 'randomize_camera': False, 'randomize_target_color': False, 'randomize_target_size': False, 'randomize_table_color': True, 'randomize_floor_color': True, 'randomize_background_color': False, 'randomize_robot_color': False }, max_episode_steps=250, ) register( id='FetchReachRandomBackground-v2', entry_point='fetch.reach:FetchReachEnv', kwargs={ 'reward_type': 'dense', 'randomize_light': False, 'randomize_camera': False, 'randomize_target_color': False, 'randomize_target_size': False, 'randomize_table_color': False, 'randomize_floor_color': False, 'randomize_background_color': True, 'randomize_robot_color': False }, max_episode_steps=250, ) register( id='FetchReachRandomRobot-v2', entry_point='fetch.reach:FetchReachEnv', kwargs={ 'reward_type': 'dense', 'randomize_light': False, 'randomize_camera': False, 'randomize_target_color': False, 'randomize_target_size': False, 'randomize_table_color': False, 'randomize_floor_color': False, 'randomize_background_color': False, 'randomize_robot_color': True }, max_episode_steps=250, )

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0

1

0

null

0

1

0

10

e1b03d92f4f5da7c8c531370a0809db0fe9732c3

38,979

py

Python

tests/dashboard/test_permissions.py

probablysalty/bonsai

06e74acd890ac53e9332aef13a8b47b88e13723c

[ "BSD-3-Clause" ]

9

2021-08-08T22:42:18.000Z

2021-11-23T06:50:14.000Z

tests/dashboard/test_permissions.py

probablysalty/bonsai

06e74acd890ac53e9332aef13a8b47b88e13723c

[ "BSD-3-Clause" ]

5

2020-03-24T16:37:25.000Z

2021-06-10T21:24:54.000Z

tests/dashboard/test_permissions.py

probablysalty/bonsai

06e74acd890ac53e9332aef13a8b47b88e13723c

[ "BSD-3-Clause" ]

1

2018-12-17T03:49:20.000Z

from django.urls import reverse from saleor.account.models import User def test_staff_can_access_product_details( staff_client, staff_user, permission_manage_products, product): assert not staff_user.has_perm('product.manage_products') url = reverse('dashboard:product-details', kwargs={'pk': product.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.post(url) assert response.status_code == 200 def test_staff_can_access_product_toggle_is_published( staff_client, staff_user, permission_manage_products, product): assert not staff_user.has_perm('product.manage_products') url = reverse('dashboard:product-publish', kwargs={'pk': product.pk}) response = staff_client.post(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.post(url) assert response.status_code == 200 def test_staff_can_access_product_select_type( staff_client, staff_user, permission_manage_products): assert not staff_user.has_perm('product.manage_products') url = reverse('dashboard:product-add-select-type') response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.post(url) assert response.status_code == 200 def test_staff_can_access_product_create( staff_client, staff_user, permission_manage_products, product_type): assert not staff_user.has_perm('product.manage_products') url = reverse('dashboard:product-add', kwargs={'type_pk': product_type.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.post(url) assert response.status_code == 200 def test_staff_can_access_product_edit( staff_client, staff_user, permission_manage_products, product): assert not staff_user.has_perm('product.manage_products') url = reverse('dashboard:product-update', kwargs={'pk': product.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.post(url) assert response.status_code == 200 def test_staff_can_access_product_delete( staff_client, staff_user, permission_manage_products, product): assert not staff_user.has_perm('product.manage_products') url = reverse('dashboard:product-delete', kwargs={'pk': product.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(url) assert response.status_code == 200 def test_staff_can_view_product_list( staff_client, staff_user, permission_manage_products): assert not staff_user.has_perm('product.manage_products') response = staff_client.get(reverse('dashboard:product-list')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(reverse('dashboard:product-list')) assert response.status_code == 200 def test_staff_can_view_category_list( staff_client, staff_user, permission_manage_products): assert not staff_user.has_perm('product.manage_products') response = staff_client.get(reverse('dashboard:category-list')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(reverse('dashboard:category-list')) assert response.status_code == 200 def test_staff_can_view_category_add_root( staff_client, staff_user, permission_manage_products): assert not staff_user.has_perm('product.manage_products') response = staff_client.get(reverse('dashboard:category-add')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(reverse('dashboard:category-add')) assert response.status_code == 200 def test_staff_can_view_category_add_subcategory( staff_client, staff_user, permission_manage_products, default_category): assert not staff_user.has_perm('product.manage_products') response = staff_client.get( reverse('dashboard:category-add', args=[default_category.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get( reverse('dashboard:category-add', args=[default_category.pk])) assert response.status_code == 200 def test_staff_can_view_category_edit( staff_client, staff_user, permission_manage_products, default_category): assert not staff_user.has_perm('product.manage_products') response = staff_client.get( reverse('dashboard:category-edit', args=[default_category.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get( reverse('dashboard:category-edit', args=[default_category.pk])) assert response.status_code == 200 def test_staff_can_view_category_delete( staff_client, staff_user, permission_manage_products, default_category): assert not staff_user.has_perm('product.manage_products') response = staff_client.get( reverse('dashboard:category-delete', args=[default_category.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get( reverse('dashboard:category-delete', args=[default_category.pk])) assert response.status_code == 200 def test_staff_can_view_sale_list( staff_client, staff_user, permission_manage_discounts): assert not staff_user.has_perm('discount.manage_discounts') response = staff_client.get(reverse('dashboard:sale-list')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_discounts) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('discount.manage_discounts') response = staff_client.get(reverse('dashboard:sale-list')) assert response.status_code == 200 def test_staff_can_view_sale_update( staff_client, staff_user, permission_manage_discounts, sale): assert not staff_user.has_perm('discount.manage_discounts') response = staff_client.get( reverse('dashboard:sale-update', args=[sale.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_discounts) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('discount.manage_discounts') response = staff_client.get( reverse('dashboard:sale-update', args=[sale.pk])) assert response.status_code == 200 def test_staff_can_view_sale_add( staff_client, staff_user, permission_manage_discounts, sale): assert not staff_user.has_perm('discount.manage_discounts') response = staff_client.get(reverse('dashboard:sale-add')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_discounts) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('discount.manage_discounts') response = staff_client.get(reverse('dashboard:sale-add')) assert response.status_code == 200 def test_staff_can_view_sale_delete( staff_client, staff_user, permission_manage_discounts, sale): assert not staff_user.has_perm('discount.manage_discounts') response = staff_client.get( reverse('dashboard:sale-delete', args=[sale.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_discounts) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('discount.manage_discounts') response = staff_client.get( reverse('dashboard:sale-delete', args=[sale.pk])) assert response.status_code == 200 def test_staff_can_view_voucher_list( staff_client, staff_user, permission_manage_discounts): assert not staff_user.has_perm('discount.manage_discounts') response = staff_client.get(reverse('dashboard:voucher-list')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_discounts) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('discount.manage_discounts') response = staff_client.get(reverse('dashboard:voucher-list')) assert response.status_code == 200 def test_staff_can_view_voucher_update( staff_client, staff_user, permission_manage_discounts, voucher): assert not staff_user.has_perm('discount.manage_discounts') response = staff_client.get( reverse('dashboard:voucher-update', args=[voucher.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_discounts) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('discount.manage_discounts') response = staff_client.get( reverse('dashboard:voucher-update', args=[voucher.pk])) assert response.status_code == 200 def test_staff_can_view_voucher_add( staff_client, staff_user, permission_manage_discounts): assert not staff_user.has_perm('discount.manage_discounts') response = staff_client.get(reverse('dashboard:voucher-add')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_discounts) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('discount.manage_discounts') response = staff_client.get(reverse('dashboard:voucher-add')) assert response.status_code == 200 def test_staff_can_view_voucher_delete( staff_client, staff_user, permission_manage_discounts, voucher): assert not staff_user.has_perm('discount.manage_discounts') response = staff_client.get( reverse('dashboard:voucher-delete', args=[voucher.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_discounts) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('discount.manage_discounts') response = staff_client.get( reverse('dashboard:voucher-delete', args=[voucher.pk])) assert response.status_code == 200 def test_staff_can_view_order_list( staff_client, staff_user, permission_manage_orders): assert not staff_user.has_perm('order.manage_orders') response = staff_client.get(reverse('dashboard:orders')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_orders) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('order.manage_orders') response = staff_client.get(reverse('dashboard:orders')) assert response.status_code == 200 def test_staff_can_view_order_details( staff_client, staff_user, permission_manage_orders, order_with_lines): assert not staff_user.has_perm('order.manage_orders') response = staff_client.get( reverse('dashboard:order-details', args=[order_with_lines.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_orders) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('order.manage_orders') response = staff_client.get( reverse('dashboard:order-details', args=[order_with_lines.pk])) assert response.status_code == 200 def test_staff_can_view_order_add_note( staff_client, staff_user, permission_manage_orders, order): assert not staff_user.has_perm('order.manage_orders') response = staff_client.get( reverse('dashboard:order-add-note', args=[order.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_orders) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('order.manage_orders') response = staff_client.get( reverse('dashboard:order-add-note', args=[order.pk])) assert response.status_code == 200 def test_staff_can_view_cancel_order( staff_client, staff_user, permission_manage_orders, order): assert not staff_user.has_perm('order.manage_orders') response = staff_client.get( reverse('dashboard:order-cancel', args=[order.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_orders) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('order.manage_orders') response = staff_client.get( reverse('dashboard:order-cancel', args=[order.pk])) assert response.status_code == 200 def test_staff_can_view_billing_address_edit( staff_client, staff_user, permission_manage_orders, order): assert not staff_user.has_perm('order.manage_orders') response = staff_client.get( reverse('dashboard:address-edit', args=[order.pk, 'billing'])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_orders) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('order.manage_orders') response = staff_client.get( reverse('dashboard:address-edit', args=[order.pk, 'billing'])) assert response.status_code == 200 def test_staff_can_view_customers_list( staff_client, staff_user, permission_manage_users): assert not staff_user.has_perm('account.manage_users') response = staff_client.get(reverse('dashboard:customers')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_users) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('account.manage_users') response = staff_client.get(reverse('dashboard:customers')) assert response.status_code == 200 def test_staff_can_view_customer_details( staff_client, staff_user, permission_manage_users, customer_user, order_with_lines): assert not staff_user.has_perm('account.manage_users') response = staff_client.get( reverse('dashboard:customer-details', args=[customer_user.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_users) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('account.manage_users') response = staff_client.get( reverse('dashboard:customer-details', args=[customer_user.pk])) assert response.status_code == 200 response = staff_client.get( reverse('dashboard:order-details', args=[order_with_lines.pk])) assert response.status_code == 302 def test_staff_can_view_staff_members_list( staff_client, staff_user, permission_manage_staff): assert not staff_user.has_perm('account.manage_staff') response = staff_client.get(reverse('dashboard:staff-list')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_staff) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('account.manage_staff') response = staff_client.get(reverse('dashboard:staff-list')) assert response.status_code == 200 def test_staff_can_view_detail_create_and_delete_staff_members( staff_client, staff_user, permission_manage_staff): assert not staff_user.has_perm('account.manage_staff') response = staff_client.get(reverse('dashboard:staff-create')) assert response.status_code == 302 response = staff_client.get( reverse('dashboard:staff-delete', args=[staff_user.pk])) assert response.status_code == 302 response = staff_client.get( reverse('dashboard:staff-details', args=[staff_user.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_staff) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('account.manage_staff') response = staff_client.get(reverse('dashboard:staff-create')) assert response.status_code == 200 response = staff_client.get( reverse('dashboard:staff-delete', args=[staff_user.pk])) assert response.status_code == 200 response = staff_client.get( reverse('dashboard:staff-details', args=[staff_user.pk])) assert response.status_code == 200 def test_staff_with_permissions_can_view_product_types_list( staff_client, staff_user, permission_manage_products): assert not staff_user.has_perm('product.manage_products') response = staff_client.get(reverse('dashboard:product-type-list')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(reverse('dashboard:product-type-list')) assert response.status_code == 200 def test_staff_with_permissions_can_edit_add_and_delete_product_types_list( staff_client, staff_user, permission_manage_products, product_type): assert not staff_user.has_perm('product.manage_products') response = staff_client.get( reverse('dashboard:product-type-update', args=[product_type.pk])) assert response.status_code == 302 response = staff_client.get( reverse('dashboard:product-type-delete', args=[product_type.pk])) assert response.status_code == 302 response = staff_client.get(reverse('dashboard:product-type-add')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get( reverse('dashboard:product-type-update', args=[product_type.pk])) assert response.status_code == 200 response = staff_client.get( reverse('dashboard:product-type-delete', args=[product_type.pk])) assert response.status_code == 200 response = staff_client.get(reverse('dashboard:product-type-add')) assert response.status_code == 200 def test_staff_can_access_variant_details( staff_client, staff_user, permission_manage_products, product): product_type = product.product_type product_type.has_variants = True product_type.save() variant = product.variants.get() assert not staff_user.has_perm('product.manage_products') url = reverse( 'dashboard:variant-details', kwargs={ 'product_pk': product.pk, 'variant_pk': variant.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(url) assert response.status_code == 200 def test_staff_can_access_variant_create( staff_client, staff_user, permission_manage_products, product): assert not staff_user.has_perm('product.manage_products') url = reverse('dashboard:variant-add', kwargs={'product_pk': product.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(url) assert response.status_code == 200 def test_staff_can_access_variant_edit( staff_client, staff_user, permission_manage_products, product): variant = product.variants.get() assert not staff_user.has_perm('product.manage_products') url = reverse( 'dashboard:variant-update', kwargs={ 'product_pk': product.pk, 'variant_pk': variant.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(url) assert response.status_code == 200 def test_staff_can_access_variant_delete( staff_client, staff_user, permission_manage_products, product): variant = product.variants.get() assert not staff_user.has_perm('product.manage_products') url = reverse( 'dashboard:variant-delete', kwargs={ 'product_pk': product.pk, 'variant_pk': variant.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(url) assert response.status_code == 200 def test_staff_can_access_variant_images( staff_client, staff_user, permission_manage_products, product): variant = product.variants.get() assert not staff_user.has_perm('product.manage_products') url = reverse( 'dashboard:variant-images', kwargs={ 'product_pk': product.pk, 'variant_pk': variant.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(url) assert response.status_code == 200 def test_staff_can_access_product_image_list( staff_client, staff_user, permission_manage_products, product): assert not staff_user.has_perm('product.manage_products') url = reverse( 'dashboard:product-image-list', kwargs={'product_pk': product.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(url) assert response.status_code == 200 def test_staff_can_access_product_image_add( staff_client, staff_user, permission_manage_products, product): assert not staff_user.has_perm('product.manage_products') url = reverse( 'dashboard:product-image-add', kwargs={'product_pk': product.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(url) assert response.status_code == 200 def test_staff_can_access_product_image_update( staff_client, staff_user, permission_manage_products, product_with_image): product_image = product_with_image.images.get() assert not staff_user.has_perm('product.manage_products') url = reverse( 'dashboard:product-image-update', kwargs={ 'product_pk': product_with_image.pk, 'img_pk': product_image.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(url) assert response.status_code == 200 def test_staff_can_access_product_image_delete( staff_client, staff_user, permission_manage_products, product_with_image): product_image = product_with_image.images.get() assert not staff_user.has_perm('product.manage_products') url = reverse( 'dashboard:product-image-delete', kwargs={ 'product_pk': product_with_image.pk, 'img_pk': product_image.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(url) assert response.status_code == 200 def test_staff_with_permissions_can_view_products_attributes_list( staff_client, staff_user, permission_manage_products, color_attribute): assert not staff_user.has_perm('product.manage_products') response = staff_client.get(reverse('dashboard:product-attributes')) assert response.status_code == 302 response = staff_client.get( reverse( 'dashboard:product-attribute-details', args=[color_attribute.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(reverse('dashboard:product-attributes')) assert response.status_code == 200 response = staff_client.get( reverse( 'dashboard:product-attribute-details', args=[color_attribute.pk])) assert response.status_code == 200 def test_staff_with_permissions_can_update_add_and_delete_products_attributes( staff_client, staff_user, permission_manage_products, color_attribute): assert not staff_user.has_perm('product.manage_products') response = staff_client.get( reverse( 'dashboard:product-attribute-update', args=[color_attribute.pk])) assert response.status_code == 302 response = staff_client.get( reverse( 'dashboard:product-attribute-delete', args=[color_attribute.pk])) assert response.status_code == 302 response = staff_client.get(reverse('dashboard:product-attribute-add')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get( reverse( 'dashboard:product-attribute-update', args=[color_attribute.pk])) assert response.status_code == 200 response = staff_client.get( reverse( 'dashboard:product-attribute-delete', args=[color_attribute.pk])) assert response.status_code == 200 response = staff_client.get(reverse('dashboard:product-attribute-add')) assert response.status_code == 200 def test_staff_can_access_attribute_create( staff_client, staff_user, permission_manage_products, color_attribute): assert not staff_user.has_perm('product.manage_products') url = reverse( 'dashboard:product-attribute-value-add', kwargs={'attribute_pk': color_attribute.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(url) assert response.status_code == 200 def test_staff_can_access_attribute_edit( staff_client, staff_user, permission_manage_products, color_attribute): value = color_attribute.values.first() assert not staff_user.has_perm('product.manage_products') url = reverse( 'dashboard:product-attribute-value-update', kwargs={ 'attribute_pk': color_attribute.pk, 'value_pk': value.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(url) assert response.status_code == 200 def test_staff_can_access_attribute_delete( staff_client, staff_user, permission_manage_products, color_attribute): value = color_attribute.values.first() assert not staff_user.has_perm('product.manage_products') url = reverse( 'dashboard:product-attribute-value-delete', kwargs={ 'attribute_pk': color_attribute.pk, 'value_pk': value.pk}) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_products) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('product.manage_products') response = staff_client.get(url) assert response.status_code == 200 def test_staff_with_permissions_can_view_shipping_methods_and_details( staff_client, staff_user, permission_manage_shipping, shipping_method): assert not staff_user.has_perm('shipping.manage_shipping') response = staff_client.get(reverse('dashboard:shipping-methods')) assert response.status_code == 302 response = staff_client.get( reverse( 'dashboard:shipping-method-details', args=[shipping_method.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_shipping) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('shipping.manage_shipping') response = staff_client.get(reverse('dashboard:shipping-methods')) assert response.status_code == 200 response = staff_client.get( reverse( 'dashboard:shipping-method-details', args=[shipping_method.pk])) assert response.status_code == 200 def test_staff_with_permissions_can_update_add_and_delete_shipping_method( staff_client, staff_user, permission_manage_shipping, shipping_method): assert not staff_user.has_perm('shipping.manage_shipping') response = staff_client.get( reverse('dashboard:shipping-method-update', args=[shipping_method.pk])) assert response.status_code == 302 response = staff_client.get( reverse('dashboard:shipping-method-delete', args=[shipping_method.pk])) assert response.status_code == 302 response = staff_client.get(reverse('dashboard:shipping-method-add')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_shipping) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('shipping.manage_shipping') response = staff_client.get( reverse('dashboard:shipping-method-update', args=[shipping_method.pk])) assert response.status_code == 200 response = staff_client.get( reverse('dashboard:shipping-method-delete', args=[shipping_method.pk])) assert response.status_code == 200 response = staff_client.get(reverse('dashboard:shipping-method-add')) assert response.status_code == 200 def test_staff_with_permissions_can_edit_customer( staff_client, customer_user, staff_user, permission_manage_users): assert customer_user.email == 'test@example.com' response = staff_client.get( reverse('dashboard:customer-update', args=[customer_user.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_users) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('account.manage_users') response = staff_client.get( reverse('dashboard:customer-update', args=[customer_user.pk])) assert response.status_code == 200 url = reverse('dashboard:customer-update', args=[customer_user.pk]) data = {'email': 'newemail@example.com', 'is_active': True} staff_client.post(url, data) customer_user = User.objects.get(pk=customer_user.pk) assert customer_user.email == 'newemail@example.com' assert customer_user.is_active def test_staff_with_permissions_can_add_customer( staff_client, staff_user, permission_manage_users): response = staff_client.get(reverse('dashboard:customer-create')) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_users) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('account.manage_users') response = staff_client.get(reverse('dashboard:customer-create')) assert response.status_code == 200 url = reverse('dashboard:customer-create') data = {'email': 'newcustomer@example.com', 'is_active': True} staff_client.post(url, data) customer = User.objects.get(email='newcustomer@example.com') assert customer.is_active def test_staff_can_view_and_edit_site_settings( staff_client, staff_user, site_settings, permission_manage_settings): assert not staff_user.has_perm('site.manage_settings') response = staff_client.get( reverse('dashboard:site-update', args=[site_settings.pk])) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_settings) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('site.manage_settings') response = staff_client.get( reverse('dashboard:site-update', args=[site_settings.pk])) assert response.status_code == 200 def test_staff_can_view_and_edit_taxes_settings( staff_client, staff_user, site_settings, permission_manage_settings): assert not staff_user.has_perm('site.manage_settings') url = reverse('dashboard:configure-taxes') response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_settings) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('site.manage_settings') response = staff_client.get(url) def test_staff_can_view_menus_and_details( staff_client, staff_user, permission_manage_menus, menu_item): menu_list_url = reverse('dashboard:menu-list') menu_details_url = reverse( 'dashboard:menu-details', args=[menu_item.menu.pk]) menu_item_details_url = reverse( 'dashboard:menu-item-details', args=[menu_item.menu.pk, menu_item.pk]) assert not staff_user.has_perm('menu.manage_menus') response = staff_client.get(menu_list_url) assert response.status_code == 302 response = staff_client.get(menu_details_url) assert response.status_code == 302 response = staff_client.get(menu_item_details_url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_menus) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('menu.manage_menus') response = staff_client.get(menu_list_url) assert response.status_code == 200 response = staff_client.get(menu_details_url) assert response.status_code == 200 response = staff_client.get(menu_item_details_url) assert response.status_code == 200 def test_staff_can_manage_menuss( staff_client, staff_user, permission_manage_menus, menu_item): menu_add_url = reverse('dashboard:menu-add') menu_edit_url = reverse('dashboard:menu-edit', args=[menu_item.menu.pk]) menu_delete_url = reverse( 'dashboard:menu-delete', args=[menu_item.menu.pk]) assert not staff_user.has_perm('menu.manage_menus') response = staff_client.get(menu_add_url) assert response.status_code == 302 response = staff_client.get(menu_edit_url) assert response.status_code == 302 response = staff_client.get(menu_delete_url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_menus) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('menu.manage_menus') response = staff_client.get(menu_add_url) assert response.status_code == 200 response = staff_client.get(menu_edit_url) assert response.status_code == 200 response = staff_client.get(menu_delete_url) assert response.status_code == 200 def test_staff_can_manage_menus_items( staff_client, staff_user, permission_manage_menus, menu_item): menu_item_add_url = reverse( 'dashboard:menu-item-add', args=[menu_item.menu.pk, menu_item.pk]) menu_item_edit_url = reverse( 'dashboard:menu-item-edit', args=[menu_item.menu.pk, menu_item.pk]) menu_item_delete_url = reverse( 'dashboard:menu-item-delete', args=[menu_item.menu.pk, menu_item.pk]) assert not staff_user.has_perm('menu.manage_menus') response = staff_client.get(menu_item_add_url) assert response.status_code == 302 response = staff_client.get(menu_item_edit_url) assert response.status_code == 302 response = staff_client.get(menu_item_delete_url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_menus) staff_user = User.objects.get(pk=staff_user.pk) assert staff_user.has_perm('menu.manage_menus') response = staff_client.get(menu_item_add_url) assert response.status_code == 200 response = staff_client.get(menu_item_edit_url) assert response.status_code == 200 response = staff_client.get(menu_item_delete_url) assert response.status_code == 200 def test_staff_can_remove_user(staff_client, staff_user, permission_manage_users): url = reverse('dashboard:customer-delete', args=[staff_user.pk]) response = staff_client.get(url) assert response.status_code == 302 staff_user.user_permissions.add(permission_manage_users) staff_user = User.objects.get(pk=staff_user.pk) response = staff_client.get(url) assert response.status_code == 200

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Contents/Libraries/Shared/rebulk/test/test_pattern.py

jippo015/Sub-Zero.bundle

734e0f7128c05c0f639e11e7dfc77daa1014064b

[ "MIT" ]

1,553

2015-11-09T02:17:06.000Z

2022-03-31T20:24:52.000Z

Contents/Libraries/Shared/rebulk/test/test_pattern.py

saiterlz/Sub-Zero.bundle

1a0bb9c3e4be84be35d46672907783363fe5a87b

[ "MIT" ]

691

2015-11-05T21:32:26.000Z

2022-03-17T10:52:45.000Z

Contents/Libraries/Shared/rebulk/test/test_pattern.py

saiterlz/Sub-Zero.bundle

1a0bb9c3e4be84be35d46672907783363fe5a87b

[ "MIT" ]

162

2015-11-06T19:38:55.000Z

2022-03-16T02:42:41.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # pylint: disable=no-self-use, pointless-statement, missing-docstring, unbalanced-tuple-unpacking, len-as-condition import re import pytest from ..pattern import StringPattern, RePattern, FunctionalPattern, REGEX_AVAILABLE from ..match import Match class TestStringPattern(object): """ Tests for StringPattern matching """ input_string = "An Abyssinian fly playing a Celtic violin was annoyed by trashy flags on " \ "which were the Hebrew letter qoph." def test_single(self): pattern = StringPattern("Celtic") matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (28, 34) assert matches[0].value == "Celtic" def test_repr(self): pattern = StringPattern("Celtic") assert repr(pattern) == '<StringPattern:(\'Celtic\',)>' def test_ignore_case(self): pattern = StringPattern("celtic", ignore_case=False) matches = list(pattern.matches(self.input_string)) assert len(matches) == 0 pattern = StringPattern("celtic", ignore_case=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert matches[0].value == "Celtic" def test_private_names(self): pattern = StringPattern("celtic", name="test", private_names=["test"], ignore_case=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert matches[0].private def test_ignore_names(self): pattern = StringPattern("celtic", name="test", ignore_names=["test"], ignore_case=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 0 def test_no_match(self): pattern = StringPattern("Python") matches = list(pattern.matches(self.input_string)) assert not matches def test_multiple_patterns(self): pattern = StringPattern("playing", "annoyed", "Hebrew") matches = list(pattern.matches(self.input_string)) assert len(matches) == 3 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (18, 25) assert matches[0].value == "playing" assert isinstance(matches[1], Match) assert matches[1].pattern == pattern assert matches[1].span == (46, 53) assert matches[1].value == "annoyed" assert isinstance(matches[2], Match) assert matches[2].pattern == pattern assert matches[2].span == (88, 94) assert matches[2].value == "Hebrew" def test_start_end_kwargs(self): pattern = StringPattern("Abyssinian", start=20, end=40) matches = list(pattern.matches(self.input_string)) assert len(matches) == 0 def test_matches_kwargs(self): pattern = StringPattern("Abyssinian", name="test", value="AB") matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert matches[0].name == "test" assert matches[0].value == "AB" def test_post_processor(self): def post_processor(matches, pattern): assert len(matches) == 1 assert isinstance(pattern, StringPattern) return [] pattern = StringPattern("Abyssinian", name="test", value="AB", post_processor=post_processor) matches = list(pattern.matches(self.input_string)) assert len(matches) == 0 class TestRePattern(object): """ Tests for RePattern matching """ input_string = "An Abyssinian fly playing a Celtic violin was annoyed by trashy flags on " \ "which were the Hebrew letter qoph." def test_single_compiled(self): pattern = RePattern(re.compile("Celt.?c")) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (28, 34) assert matches[0].value == "Celtic" def test_single_string(self): pattern = RePattern("Celt.?c") matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (28, 34) assert matches[0].value == "Celtic" def test_single_kwargs(self): pattern = RePattern({"pattern": "celt.?c", "flags": re.IGNORECASE}) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (28, 34) assert matches[0].value == "Celtic" def test_single_vargs(self): pattern = RePattern(("celt.?c", re.IGNORECASE)) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (28, 34) assert matches[0].value == "Celtic" def test_no_match(self): pattern = RePattern("abc.?def") matches = list(pattern.matches(self.input_string)) assert len(matches) == 0 def test_shortcuts(self): pattern = RePattern("Celtic-violin", abbreviations=[("-", r"[\W_]+")]) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 pattern = RePattern({"pattern": "celtic-violin", "flags": re.IGNORECASE}, abbreviations=[("-", r"[\W_]+")]) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 def test_multiple_patterns(self): pattern = RePattern("pla.?ing", "ann.?yed", "Heb.?ew") matches = list(pattern.matches(self.input_string)) assert len(matches) == 3 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (18, 25) assert matches[0].value == "playing" assert isinstance(matches[1], Match) assert matches[1].pattern == pattern assert matches[1].span == (46, 53) assert matches[1].value == "annoyed" assert isinstance(matches[2], Match) assert matches[2].pattern == pattern assert matches[2].span == (88, 94) assert matches[2].value == "Hebrew" def test_unnamed_groups(self): pattern = RePattern(r"(Celt.?c)\s+(\w+)") matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 parent = matches[0] assert isinstance(parent, Match) assert parent.pattern == pattern assert parent.span == (28, 41) assert parent.name is None assert parent.value == "Celtic violin" assert len(parent.children) == 2 group1, group2 = parent.children assert isinstance(group1, Match) assert group1.pattern == pattern assert group1.span == (28, 34) assert group1.name is None assert group1.value == "Celtic" assert group1.parent == parent assert isinstance(group2, Match) assert group2.pattern == pattern assert group2.span == (35, 41) assert group2.name is None assert group2.value == "violin" assert group2.parent == parent def test_named_groups(self): pattern = RePattern(r"(?P<param1>Celt.?c)\s+(?P<param2>\w+)") matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 parent = matches[0] assert isinstance(parent, Match) assert parent.pattern == pattern assert parent.span == (28, 41) assert parent.name is None assert parent.value == "Celtic violin" assert len(parent.children) == 2 group1, group2 = parent.children assert isinstance(group1, Match) assert group1.pattern == pattern assert group1.span == (28, 34) assert group1.name == "param1" assert group1.value == "Celtic" assert group1.parent == parent assert isinstance(group2, Match) assert group2.pattern == pattern assert group2.span == (35, 41) assert group2.name == "param2" assert group2.value == "violin" assert group2.parent == parent def test_children(self): pattern = RePattern(r"(?P<param1>Celt.?c)\s+(?P<param2>\w+)", children=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 2 group1, group2 = matches assert isinstance(group1, Match) assert group1.pattern == pattern assert group1.span == (28, 34) assert group1.name == "param1" assert group1.value == "Celtic" assert isinstance(group2, Match) assert group2.pattern == pattern assert group2.span == (35, 41) assert group2.name == "param2" assert group2.value == "violin" def test_children_parent_private(self): pattern = RePattern(r"(?P<param1>Celt.?c)\s+(?P<param2>\w+)", children=True, private_parent=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 3 parent, group1, group2 = matches assert isinstance(group1, Match) assert parent.private assert parent.pattern == pattern assert parent.span == (28, 41) assert parent.name is None assert parent.value == "Celtic violin" assert isinstance(group1, Match) assert not group1.private assert group1.pattern == pattern assert group1.span == (28, 34) assert group1.name == "param1" assert group1.value == "Celtic" assert isinstance(group2, Match) assert not group2.private assert group2.pattern == pattern assert group2.span == (35, 41) assert group2.name == "param2" assert group2.value == "violin" def test_parent_children_private(self): pattern = RePattern(r"(?P<param1>Celt.?c)\s+(?P<param2>\w+)", private_children=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 3 parent, group1, group2 = matches assert isinstance(group1, Match) assert not parent.private assert parent.pattern == pattern assert parent.span == (28, 41) assert parent.name is None assert parent.value == "Celtic violin" assert isinstance(group1, Match) assert group1.private assert group1.pattern == pattern assert group1.span == (28, 34) assert group1.name == "param1" assert group1.value == "Celtic" assert isinstance(group2, Match) assert group2.private assert group2.pattern == pattern assert group2.span == (35, 41) assert group2.name == "param2" assert group2.value == "violin" def test_every(self): pattern = RePattern(r"(?P<param1>Celt.?c)\s+(?P<param2>\w+)", every=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 3 parent, group1, group2 = matches assert isinstance(group1, Match) assert not parent.private assert parent.pattern == pattern assert parent.span == (28, 41) assert parent.name is None assert parent.value == "Celtic violin" assert isinstance(group1, Match) assert not group1.private assert group1.pattern == pattern assert group1.span == (28, 34) assert group1.name == "param1" assert group1.value == "Celtic" assert isinstance(group2, Match) assert not group2.private assert group2.pattern == pattern assert group2.span == (35, 41) assert group2.name == "param2" assert group2.value == "violin" def test_private_names(self): pattern = RePattern(r"(?P<param1>Celt.?c)\s+(?P<param2>\w+)", private_names=["param2"], children=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 2 assert matches[0].name == "param1" assert not matches[0].private assert matches[1].name == "param2" assert matches[1].private def test_ignore_names(self): pattern = RePattern(r"(?P<param1>Celt.?c)\s+(?P<param2>\w+)", ignore_names=["param2"], children=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert matches[0].name == "param1" def test_matches_kwargs(self): pattern = RePattern("He.rew", name="test", value="HE") matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert matches[0].name == "test" assert matches[0].value == "HE" pattern = RePattern("H(e.)(rew)", name="test", value="HE") matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert matches[0].name == "test" assert matches[0].value == "HE" children = matches[0].children assert len(children) == 2 assert children[0].name == "test" assert children[0].value == "HE" assert children[1].name == "test" assert children[1].value == "HE" pattern = RePattern("H(?P<first>e.)(?P<second>rew)", name="test", value="HE") matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert matches[0].name == "test" assert matches[0].value == "HE" children = matches[0].children assert len(children) == 2 assert children[0].name == "first" assert children[0].value == "HE" assert children[1].name == "second" assert children[1].value == "HE" class TestFunctionalPattern(object): """ Tests for FunctionalPattern matching """ input_string = "An Abyssinian fly playing a Celtic violin was annoyed by trashy flags on " \ "which were the Hebrew letter qoph." def test_single_vargs(self): def func(input_string): i = input_string.find("fly") if i > -1: return i, i + len("fly"), "fly", "functional" pattern = FunctionalPattern(func) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (14, 17) assert matches[0].name == "functional" assert matches[0].value == "fly" def test_single_kwargs(self): def func(input_string): i = input_string.find("fly") if i > -1: return {"start": i, "end": i + len("fly"), "name": "functional"} pattern = FunctionalPattern(func) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (14, 17) assert matches[0].name == "functional" assert matches[0].value == "fly" def test_multiple_objects(self): def func(input_string): i = input_string.find("fly") matches = [] if i > -1: matches.append((i, i + len("fly"), {'name': "functional"})) i = input_string.find("annoyed") if i > -1: matches.append((i, i + len("annoyed"))) i = input_string.find("Hebrew") if i > -1: matches.append({"start": i, "end": i + len("Hebrew")}) return matches pattern = FunctionalPattern(func) matches = list(pattern.matches(self.input_string)) assert len(matches) == 3 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (14, 17) assert matches[0].name == "functional" assert matches[0].value == "fly" assert isinstance(matches[1], Match) assert matches[1].pattern == pattern assert matches[1].span == (46, 53) assert matches[1].value == "annoyed" assert isinstance(matches[2], Match) assert matches[2].pattern == pattern assert matches[2].span == (88, 94) assert matches[2].value == "Hebrew" def test_multiple_generator(self): def func(input_string): i = input_string.find("fly") if i > -1: yield (i, i + len("fly"), {'name': "functional"}) i = input_string.find("annoyed") if i > -1: yield (i, i + len("annoyed")) i = input_string.find("Hebrew") if i > -1: yield (i, {"end": i + len("Hebrew")}) pattern = FunctionalPattern(func) matches = list(pattern.matches(self.input_string)) assert len(matches) == 3 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (14, 17) assert matches[0].name == "functional" assert matches[0].value == "fly" assert isinstance(matches[1], Match) assert matches[1].pattern == pattern assert matches[1].span == (46, 53) assert matches[1].value == "annoyed" assert isinstance(matches[2], Match) assert matches[2].pattern == pattern assert matches[2].span == (88, 94) assert matches[2].value == "Hebrew" def test_no_match(self): pattern = FunctionalPattern(lambda x: None) matches = list(pattern.matches(self.input_string)) assert len(matches) == 0 def test_multiple_patterns(self): def playing(input_string): i = input_string.find("playing") if i > -1: return i, i + len("playing") def annoyed(input_string): i = input_string.find("annoyed") if i > -1: return i, i + len("annoyed") def hebrew(input_string): i = input_string.find("Hebrew") if i > -1: return i, i + len("Hebrew") pattern = FunctionalPattern(playing, annoyed, hebrew) matches = list(pattern.matches(self.input_string)) assert len(matches) == 3 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (18, 25) assert matches[0].value == "playing" assert isinstance(matches[1], Match) assert matches[1].pattern == pattern assert matches[1].span == (46, 53) assert matches[1].value == "annoyed" assert isinstance(matches[2], Match) assert matches[2].pattern == pattern assert matches[2].span == (88, 94) assert matches[2].value == "Hebrew" def test_matches_kwargs(self): def playing(input_string): i = input_string.find("playing") if i > -1: return i, i + len("playing") pattern = FunctionalPattern(playing, name="test", value="PLAY") matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert matches[0].name == "test" assert matches[0].value == "PLAY" class TestValue(object): """ Tests for value option """ input_string = "This string contains 1849 a number" def test_str_value(self): pattern = StringPattern("1849", name="dummy", value="test") matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (21, 25) assert matches[0].value == "test" def test_dict_child_value(self): pattern = RePattern(r"(?P<strParam>cont.?ins)\s+(?P<intParam>\d+)", formatter={'intParam': lambda x: int(x) * 2, 'strParam': lambda x: "really " + x}, format_all=True, value={'intParam': 'INT_PARAM_VALUE'}) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 parent = matches[0] assert len(parent.children) == 2 group1, group2 = parent.children assert isinstance(group1, Match) assert group1.pattern == pattern assert group1.span == (12, 20) assert group1.value == "really contains" assert isinstance(group2, Match) assert group2.pattern == pattern assert group2.span == (21, 25) assert group2.value == 'INT_PARAM_VALUE' def test_dict_default_value(self): pattern = RePattern(r"(?P<strParam>cont.?ins)\s+(?P<intParam>\d+)", formatter={'intParam': lambda x: int(x) * 2, 'strParam': lambda x: "really " + x}, format_all=True, value={'__children__': 'CHILD', 'strParam': 'STR_VALUE', '__parent__': 'PARENT'}) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 parent = matches[0] assert parent.value == "PARENT" assert len(parent.children) == 2 group1, group2 = parent.children assert isinstance(group1, Match) assert group1.pattern == pattern assert group1.span == (12, 20) assert group1.value == "STR_VALUE" assert isinstance(group2, Match) assert group2.pattern == pattern assert group2.span == (21, 25) assert group2.value == "CHILD" class TestFormatter(object): """ Tests for formatter option """ input_string = "This string contains 1849 a number" def test_single_string(self): pattern = StringPattern("1849", name="dummy", formatter=lambda x: int(x) / 2) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (21, 25) assert matches[0].value == 1849 / 2 def test_single_re_no_group(self): pattern = RePattern(r"\d+", formatter=lambda x: int(x) * 2) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (21, 25) assert matches[0].value == 1849 * 2 def test_single_re_named_groups(self): pattern = RePattern(r"(?P<strParam>cont.?ins)\s+(?P<intParam>\d+)", formatter={'intParam': lambda x: int(x) * 2, 'strParam': lambda x: "really " + x}, format_all=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 parent = matches[0] assert len(parent.children) == 2 group1, group2 = parent.children assert isinstance(group1, Match) assert group1.pattern == pattern assert group1.span == (12, 20) assert group1.value == "really contains" assert isinstance(group2, Match) assert group2.pattern == pattern assert group2.span == (21, 25) assert group2.value == 1849 * 2 def test_repeated_captures_option(self): pattern = RePattern(r"\[(\d+)\](?:-(\d+))*") matches = list(pattern.matches("[02]-03-04-05-06")) assert len(matches) == 1 match = matches[0] if REGEX_AVAILABLE: assert len(match.children) == 5 assert [child.value for child in match.children] == ["02", "03", "04", "05", "06"] else: assert len(match.children) == 2 assert [child.value for child in match.children] == ["02", "06"] with pytest.raises(NotImplementedError): RePattern(r"\[(\d+)\](?:-(\d+))*", repeated_captures=True) pattern = RePattern(r"\[(\d+)\](?:-(\d+))*", repeated_captures=False) matches = list(pattern.matches("[02]-03-04-05-06")) assert len(matches) == 1 match = matches[0] assert len(match.children) == 2 assert [child.value for child in match.children] == ["02", "06"] def test_single_functional(self): def digit(input_string): i = input_string.find("1849") if i > -1: return i, i + len("1849") pattern = FunctionalPattern(digit, formatter=lambda x: int(x) * 3) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 assert isinstance(matches[0], Match) assert matches[0].pattern == pattern assert matches[0].span == (21, 25) assert matches[0].value == 1849 * 3 class TestValidator(object): """ Tests for validator option """ input_string = "This string contains 1849 a number" @staticmethod def true_validator(match): return int(match.value) < 1850 @staticmethod def false_validator(match): return int(match.value) >= 1850 def test_single_string(self): pattern = StringPattern("1849", name="dummy", validator=self.false_validator) matches = list(pattern.matches(self.input_string)) assert len(matches) == 0 pattern = StringPattern("1849", validator=self.true_validator) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 def test_single_re_no_group(self): pattern = RePattern(r"\d+", validator=self.false_validator) matches = list(pattern.matches(self.input_string)) assert len(matches) == 0 pattern = RePattern(r"\d+", validator=self.true_validator) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 def test_single_re_named_groups(self): pattern = RePattern(r"(?P<strParam>cont.?ins)\s+(?P<intParam>\d+)", validator={'intParam': self.false_validator}, validate_all=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 0 pattern = RePattern(r"(?P<strParam>cont.?ins)\s+(?P<intParam>\d+)", validator={'intParam': self.true_validator}, validate_all=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 def test_validate_all(self): pattern = RePattern(r"contains (?P<intParam>\d+)", formatter=int, validator=lambda match: match.value < 100, children=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 0 pattern = RePattern(r"contains (?P<intParam>\d+)", formatter=int, validator=lambda match: match.value > 100, children=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 def invalid_func(match): if match.name == 'intParam': return True return match.value.startswith('abc') pattern = RePattern(r"contains (?P<intParam>\d+)", formatter=int, validator=invalid_func, validate_all=True, children=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 0 def func(match): if match.name == 'intParam': return True return match.value.startswith('contains') pattern = RePattern(r"contains (?P<intParam>\d+)", formatter=int, validator=func, validate_all=True, children=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 def test_format_all(self): pattern = RePattern(r"contains (?P<intParam>\d+)", formatter=int, children=True) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1 for match in matches: assert match.value is not None with pytest.raises(ValueError): pattern = RePattern(r"contains (?P<intParam>\d+)", formatter=int, format_all=True) matches = list(pattern.matches(self.input_string)) for match in matches: assert match.value is not None def test_single_functional(self): def digit(input_string): i = input_string.find("1849") if i > -1: return i, i + len("1849") pattern = FunctionalPattern(digit, validator=self.false_validator) matches = list(pattern.matches(self.input_string)) assert len(matches) == 0 pattern = FunctionalPattern(digit, validator=self.true_validator) matches = list(pattern.matches(self.input_string)) assert len(matches) == 1

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833e3291c52029d28ec008ce980b4fb1233bb6a6

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Python

flaskr/test/unit/webapp/test_feeding_schedule.py

UnibucProjects/SmartAquarium

6f3c16fb7a45218e763b46223568f6c3e5b66bfd

[ "MIT" ]

6

2022-02-02T19:37:57.000Z

2022-02-03T15:12:32.000Z

flaskr/test/unit/webapp/test_feeding_schedule.py

UnibucProjects/SmartAquarium

6f3c16fb7a45218e763b46223568f6c3e5b66bfd

[ "MIT" ]

18

2022-01-29T22:47:46.000Z

2022-02-03T15:30:28.000Z

flaskr/test/unit/webapp/test_feeding_schedule.py

UnibucProjects/SmartAquarium

6f3c16fb7a45218e763b46223568f6c3e5b66bfd

[ "MIT" ]

null

import pytest import json import random from app import create_app from db import get_db @pytest.fixture def client(): local_app = create_app() client = local_app.test_client() yield client def test_get_feeding_schedule(client): request = client.get("/feeding_schedule") assert request.status_code == 200 def test_set_feeding_schedule(client): with create_app().app_context(): food_ids = get_db().execute( 'SELECT id' ' FROM food' ).fetchall() aquarium_ids = get_db().execute( 'SELECT id' ' FROM aquarium' ).fetchall() food_id = random.randint(0, len(food_ids)-1) aquarium_id = random.randint(0, len(aquarium_ids)-1) payload = {'aquarium_id': aquarium_ids[aquarium_id]['id'], 'food_type_id': food_ids[food_id]['id'], 'schedule': '12:45;20:00', 'available_type_quantity': 50} rv = client.post('/feeding_schedule', data=payload, follow_redirects=True) res = json.loads(rv.data.decode()) assert rv.status_code == 200 assert res["status"] == "Feeding schedule successfully recorded." def test_set_feeding_schedule_null(client): with create_app().app_context(): food_ids = get_db().execute( 'SELECT id' ' FROM food' ).fetchall() aquarium_ids = get_db().execute( 'SELECT id' ' FROM aquarium' ).fetchall() food_id = random.randint(0, len(food_ids)-1) aquarium_id = random.randint(0, len(aquarium_ids)-1) payload = {'aquarium_id': aquarium_ids[aquarium_id]['id'], 'food_type_id': food_ids[food_id]['id'], 'schedule': '', 'available_type_quantity': 50} rv = client.post('/feeding_schedule', data=payload, follow_redirects=True) res = json.loads(rv.data.decode()) assert rv.status_code == 403 assert res["status"] == "Schedule is required." def test_update_feeding_schedule(client): with create_app().app_context(): feeding_schedule = get_db().execute( 'SELECT id' ' FROM feeding_schedule' ' ORDER BY timestamp DESC' ).fetchone() food_ids = get_db().execute( 'SELECT id' ' FROM food' ).fetchall() aquarium_ids = get_db().execute( 'SELECT id' ' FROM aquarium' ).fetchall() food_id = random.randint(0, len(food_ids)-1) aquarium_id = random.randint(0, len(aquarium_ids)-1) payload = {'id': feeding_schedule['id'], 'aquarium_id': aquarium_ids[aquarium_id]['id'], 'food_type_id': food_ids[food_id]['id'], 'schedule': '16:15', 'available_type_quantity': 100} rv = client.put('/feeding_schedule', data=payload, follow_redirects=True) res = json.loads(rv.data.decode()) assert rv.status_code == 200 assert res["status"] == "Feeding schedule successfully updated." def test_update_feeding_schedule_notfound(client): with create_app().app_context(): feeding_schedule = get_db().execute( 'SELECT id' ' FROM feeding_schedule' ' ORDER BY id DESC' ).fetchone() food_ids = get_db().execute( 'SELECT id' ' FROM food' ).fetchall() aquarium_ids = get_db().execute( 'SELECT id' ' FROM aquarium' ).fetchall() food_id = random.randint(0, len(food_ids)-1) aquarium_id = random.randint(0, len(aquarium_ids)-1) payload = {'id': feeding_schedule['id'] + 1, 'aquarium_id': aquarium_ids[aquarium_id]['id'], 'food_type_id': food_ids[food_id]['id'], 'schedule': '16:15', 'available_type_quantity': 100} rv = client.put('/feeding_schedule', data=payload, follow_redirects=True) res = json.loads(rv.data.decode()) assert rv.status_code == 404 assert res["status"] == "Feeding schedule does not exist." def test_delete_feeding_schedule(client): with create_app().app_context(): feeding_schedule = get_db().execute( 'SELECT id' ' FROM feeding_schedule' ' ORDER BY timestamp DESC' ).fetchone() rv = client.delete('/feeding_schedule/' + str(feeding_schedule['id']), follow_redirects=True) res = json.loads(rv.data.decode()) assert rv.status_code == 200 assert res["status"] == "Feeding schedule successfully deleted."

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129,137

py

Python

huaweicloud-sdk-elb/huaweicloudsdkelb/v3/elb_async_client.py

wuchen-huawei/huaweicloud-sdk-python-v3

3683d703f4320edb2b8516f36f16d485cff08fc2

[ "Apache-2.0" ]

64

2020-06-12T07:05:07.000Z

2022-03-30T03:32:50.000Z

huaweicloud-sdk-elb/huaweicloudsdkelb/v3/elb_async_client.py

wuchen-huawei/huaweicloud-sdk-python-v3

3683d703f4320edb2b8516f36f16d485cff08fc2

[ "Apache-2.0" ]

11

2020-07-06T07:56:54.000Z

2022-01-11T11:14:40.000Z

huaweicloud-sdk-elb/huaweicloudsdkelb/v3/elb_async_client.py

wuchen-huawei/huaweicloud-sdk-python-v3

3683d703f4320edb2b8516f36f16d485cff08fc2

[ "Apache-2.0" ]

24

2020-06-08T11:42:13.000Z

2022-03-04T06:44:08.000Z

# coding: utf-8 from __future__ import absolute_import import datetime import re import importlib import six from huaweicloudsdkcore.client import Client, ClientBuilder from huaweicloudsdkcore.exceptions import exceptions from huaweicloudsdkcore.utils import http_utils from huaweicloudsdkcore.sdk_stream_request import SdkStreamRequest class ElbAsyncClient(Client): """ :param configuration: .Configuration object for this client :param pool_threads: The number of threads to use for async requests to the API. More threads means more concurrent API requests. """ PRIMITIVE_TYPES = (float, bool, bytes, six.text_type) + six.integer_types NATIVE_TYPES_MAPPING = { 'int': int, 'long': int if six.PY3 else long, 'float': float, 'str': str, 'bool': bool, 'date': datetime.date, 'datetime': datetime.datetime, 'object': object, } def __init__(self): super(ElbAsyncClient, self).__init__() self.model_package = importlib.import_module("huaweicloudsdkelb.v3.model") self.preset_headers = {'User-Agent': 'HuaweiCloud-SDK-Python'} @classmethod def new_builder(cls, clazz=None): if clazz is None: return ClientBuilder(cls) if clazz.__name__ != "ElbClient": raise TypeError("client type error, support client type is ElbClient") return ClientBuilder(clazz) def create_certificate_async(self, request): """创建证书创建证书。 :param CreateCertificateRequest request :return: CreateCertificateResponse """ return self.create_certificate_with_http_info(request) def create_certificate_with_http_info(self, request): """创建证书创建证书。 :param CreateCertificateRequest request :return: CreateCertificateResponse """ all_params = ['create_certificate_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/certificates', method='POST', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='CreateCertificateResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def create_health_monitor_async(self, request): """创建健康检查创建健康检查。 :param CreateHealthMonitorRequest request :return: CreateHealthMonitorResponse """ return self.create_health_monitor_with_http_info(request) def create_health_monitor_with_http_info(self, request): """创建健康检查创建健康检查。 :param CreateHealthMonitorRequest request :return: CreateHealthMonitorResponse """ all_params = ['create_health_monitor_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/healthmonitors', method='POST', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='CreateHealthMonitorResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def create_l7_policy_async(self, request): """创建转发策略创建转发策略. :param CreateL7PolicyRequest request :return: CreateL7PolicyResponse """ return self.create_l7_policy_with_http_info(request) def create_l7_policy_with_http_info(self, request): """创建转发策略创建转发策略. :param CreateL7PolicyRequest request :return: CreateL7PolicyResponse """ all_params = ['create_l7_policy_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/l7policies', method='POST', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='CreateL7PolicyResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def create_l7_rule_async(self, request): """创建转发规则创建转发规则。 :param CreateL7RuleRequest request :return: CreateL7RuleResponse """ return self.create_l7_rule_with_http_info(request) def create_l7_rule_with_http_info(self, request): """创建转发规则创建转发规则。 :param CreateL7RuleRequest request :return: CreateL7RuleResponse """ all_params = ['l7policy_id', 'create_l7_rule_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'l7policy_id' in local_var_params: path_params['l7policy_id'] = local_var_params['l7policy_id'] query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/l7policies/{l7policy_id}/rules', method='POST', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='CreateL7RuleResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def create_listener_async(self, request): """创建监听器 ElbV3 创建监听器。 :param CreateListenerRequest request :return: CreateListenerResponse """ return self.create_listener_with_http_info(request) def create_listener_with_http_info(self, request): """创建监听器 ElbV3 创建监听器。 :param CreateListenerRequest request :return: CreateListenerResponse """ all_params = ['create_listener_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/listeners', method='POST', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='CreateListenerResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def create_load_balancer_async(self, request): """创建负载均衡器创建负载均衡器。 1.创建公网负载均衡器的场合，需要传入vpc_id。 2.创建内网负载均衡器的场合，需要传入vip_subnet_cidr_id。 3.创建内网双栈负载均衡器的场合，需要传入ipv6_vip_virsubnet_id。关联有已有公网ip地址，需要传入publicip_ids 新建公网ip地址，需要传入publicip 包括IPV4私网类型，IPV4公网类型，IPV6私网，IPV6公网 :param CreateLoadBalancerRequest request :return: CreateLoadBalancerResponse """ return self.create_load_balancer_with_http_info(request) def create_load_balancer_with_http_info(self, request): """创建负载均衡器创建负载均衡器。 1.创建公网负载均衡器的场合，需要传入vpc_id。 2.创建内网负载均衡器的场合，需要传入vip_subnet_cidr_id。 3.创建内网双栈负载均衡器的场合，需要传入ipv6_vip_virsubnet_id。关联有已有公网ip地址，需要传入publicip_ids 新建公网ip地址，需要传入publicip 包括IPV4私网类型，IPV4公网类型，IPV6私网，IPV6公网 :param CreateLoadBalancerRequest request :return: CreateLoadBalancerResponse """ all_params = ['create_load_balancer_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/loadbalancers', method='POST', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='CreateLoadBalancerResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def create_member_async(self, request): """创建后端服务器创建后端服务器。 :param CreateMemberRequest request :return: CreateMemberResponse """ return self.create_member_with_http_info(request) def create_member_with_http_info(self, request): """创建后端服务器创建后端服务器。 :param CreateMemberRequest request :return: CreateMemberResponse """ all_params = ['pool_id', 'create_member_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'pool_id' in local_var_params: path_params['pool_id'] = local_var_params['pool_id'] query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/pools/{pool_id}/members', method='POST', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='CreateMemberResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def create_pool_async(self, request): """创建后端服务器组创建后端服务器组。 :param CreatePoolRequest request :return: CreatePoolResponse """ return self.create_pool_with_http_info(request) def create_pool_with_http_info(self, request): """创建后端服务器组创建后端服务器组。 :param CreatePoolRequest request :return: CreatePoolResponse """ all_params = ['create_pool_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/pools', method='POST', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='CreatePoolResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def delete_certificate_async(self, request): """删除证书删除SSL证书。 :param DeleteCertificateRequest request :return: DeleteCertificateResponse """ return self.delete_certificate_with_http_info(request) def delete_certificate_with_http_info(self, request): """删除证书删除SSL证书。 :param DeleteCertificateRequest request :return: DeleteCertificateResponse """ all_params = ['certificate_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'certificate_id' in local_var_params: path_params['certificate_id'] = local_var_params['certificate_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/certificates/{certificate_id}', method='DELETE', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='DeleteCertificateResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def delete_health_monitor_async(self, request): """删除健康检查删除健康检查。 :param DeleteHealthMonitorRequest request :return: DeleteHealthMonitorResponse """ return self.delete_health_monitor_with_http_info(request) def delete_health_monitor_with_http_info(self, request): """删除健康检查删除健康检查。 :param DeleteHealthMonitorRequest request :return: DeleteHealthMonitorResponse """ all_params = ['healthmonitor_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'healthmonitor_id' in local_var_params: path_params['healthmonitor_id'] = local_var_params['healthmonitor_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/healthmonitors/{healthmonitor_id}', method='DELETE', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='DeleteHealthMonitorResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def delete_l7_policy_async(self, request): """删除转发策略删除转发策略。 :param DeleteL7PolicyRequest request :return: DeleteL7PolicyResponse """ return self.delete_l7_policy_with_http_info(request) def delete_l7_policy_with_http_info(self, request): """删除转发策略删除转发策略。 :param DeleteL7PolicyRequest request :return: DeleteL7PolicyResponse """ all_params = ['l7policy_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'l7policy_id' in local_var_params: path_params['l7policy_id'] = local_var_params['l7policy_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/l7policies/{l7policy_id}', method='DELETE', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='DeleteL7PolicyResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def delete_l7_rule_async(self, request): """删除转发规则删除转发规则。 :param DeleteL7RuleRequest request :return: DeleteL7RuleResponse """ return self.delete_l7_rule_with_http_info(request) def delete_l7_rule_with_http_info(self, request): """删除转发规则删除转发规则。 :param DeleteL7RuleRequest request :return: DeleteL7RuleResponse """ all_params = ['l7policy_id', 'l7rule_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'l7policy_id' in local_var_params: path_params['l7policy_id'] = local_var_params['l7policy_id'] if 'l7rule_id' in local_var_params: path_params['l7rule_id'] = local_var_params['l7rule_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/l7policies/{l7policy_id}/rules/{l7rule_id}', method='DELETE', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='DeleteL7RuleResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def delete_listener_async(self, request): """删除监听器删除监听器。 :param DeleteListenerRequest request :return: DeleteListenerResponse """ return self.delete_listener_with_http_info(request) def delete_listener_with_http_info(self, request): """删除监听器删除监听器。 :param DeleteListenerRequest request :return: DeleteListenerResponse """ all_params = ['listener_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'listener_id' in local_var_params: path_params['listener_id'] = local_var_params['listener_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/listeners/{listener_id}', method='DELETE', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='DeleteListenerResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def delete_load_balancer_async(self, request): """删除负载均衡器删除负载均衡器。 :param DeleteLoadBalancerRequest request :return: DeleteLoadBalancerResponse """ return self.delete_load_balancer_with_http_info(request) def delete_load_balancer_with_http_info(self, request): """删除负载均衡器删除负载均衡器。 :param DeleteLoadBalancerRequest request :return: DeleteLoadBalancerResponse """ all_params = ['loadbalancer_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'loadbalancer_id' in local_var_params: path_params['loadbalancer_id'] = local_var_params['loadbalancer_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/loadbalancers/{loadbalancer_id}', method='DELETE', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='DeleteLoadBalancerResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def delete_member_async(self, request): """删除后端服务器删除后端服务器。 :param DeleteMemberRequest request :return: DeleteMemberResponse """ return self.delete_member_with_http_info(request) def delete_member_with_http_info(self, request): """删除后端服务器删除后端服务器。 :param DeleteMemberRequest request :return: DeleteMemberResponse """ all_params = ['member_id', 'pool_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'member_id' in local_var_params: path_params['member_id'] = local_var_params['member_id'] if 'pool_id' in local_var_params: path_params['pool_id'] = local_var_params['pool_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/pools/{pool_id}/members/{member_id}', method='DELETE', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='DeleteMemberResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def delete_pool_async(self, request): """删除后端服务器组删除后端服务器组。 :param DeletePoolRequest request :return: DeletePoolResponse """ return self.delete_pool_with_http_info(request) def delete_pool_with_http_info(self, request): """删除后端服务器组删除后端服务器组。 :param DeletePoolRequest request :return: DeletePoolResponse """ all_params = ['pool_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'pool_id' in local_var_params: path_params['pool_id'] = local_var_params['pool_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/pools/{pool_id}', method='DELETE', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='DeletePoolResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def list_all_members_async(self, request): """后端服务器全局列表查询当前租户下的后端服务器列表。 :param ListAllMembersRequest request :return: ListAllMembersResponse """ return self.list_all_members_with_http_info(request) def list_all_members_with_http_info(self, request): """后端服务器全局列表查询当前租户下的后端服务器列表。 :param ListAllMembersRequest request :return: ListAllMembersResponse """ all_params = ['address', 'admin_state_up', 'enterprise_project_id', 'id', 'ip_version', 'limit', 'loadbalancer_id', 'marker', 'name', 'operating_status', 'page_reverse', 'pool_id', 'protocol_port', 'subnet_cidr_id', 'weight'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] if 'address' in local_var_params: query_params.append(('address', local_var_params['address'])) collection_formats['address'] = 'multi' if 'admin_state_up' in local_var_params: query_params.append(('admin_state_up', local_var_params['admin_state_up'])) if 'enterprise_project_id' in local_var_params: query_params.append(('enterprise_project_id', local_var_params['enterprise_project_id'])) collection_formats['enterprise_project_id'] = 'multi' if 'id' in local_var_params: query_params.append(('id', local_var_params['id'])) collection_formats['id'] = 'multi' if 'ip_version' in local_var_params: query_params.append(('ip_version', local_var_params['ip_version'])) if 'limit' in local_var_params: query_params.append(('limit', local_var_params['limit'])) if 'loadbalancer_id' in local_var_params: query_params.append(('loadbalancer_id', local_var_params['loadbalancer_id'])) if 'marker' in local_var_params: query_params.append(('marker', local_var_params['marker'])) if 'name' in local_var_params: query_params.append(('name', local_var_params['name'])) collection_formats['name'] = 'multi' if 'operating_status' in local_var_params: query_params.append(('operating_status', local_var_params['operating_status'])) collection_formats['operating_status'] = 'multi' if 'page_reverse' in local_var_params: query_params.append(('page_reverse', local_var_params['page_reverse'])) if 'pool_id' in local_var_params: query_params.append(('pool_id', local_var_params['pool_id'])) if 'protocol_port' in local_var_params: query_params.append(('protocol_port', local_var_params['protocol_port'])) collection_formats['protocol_port'] = 'multi' if 'subnet_cidr_id' in local_var_params: query_params.append(('subnet_cidr_id', local_var_params['subnet_cidr_id'])) collection_formats['subnet_cidr_id'] = 'multi' if 'weight' in local_var_params: query_params.append(('weight', local_var_params['weight'])) collection_formats['weight'] = 'multi' header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/members', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ListAllMembersResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def list_availability_zones_async(self, request): """查询可用区列表返回租户创建LB时可使用的可用区列表情况。返回的数据类型是可用区集合的列表，比如列表 [ [az1,az2], [az2, az3] ] ，有两个可用区集合。在创建负载均衡器时，可以选择创建在多个可用区，但所选的多个可用区必须同属于其中一个可用区集合，如可以选择 az2和az3，但不能选择 az1和az3。 :param ListAvailabilityZonesRequest request :return: ListAvailabilityZonesResponse """ return self.list_availability_zones_with_http_info(request) def list_availability_zones_with_http_info(self, request): """查询可用区列表返回租户创建LB时可使用的可用区列表情况。返回的数据类型是可用区集合的列表，比如列表 [ [az1,az2], [az2, az3] ] ，有两个可用区集合。在创建负载均衡器时，可以选择创建在多个可用区，但所选的多个可用区必须同属于其中一个可用区集合，如可以选择 az2和az3，但不能选择 az1和az3。 :param ListAvailabilityZonesRequest request :return: ListAvailabilityZonesResponse """ all_params = [] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/availability-zones', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ListAvailabilityZonesResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def list_certificates_async(self, request): """证书列表查询SSL证书列表。 :param ListCertificatesRequest request :return: ListCertificatesResponse """ return self.list_certificates_with_http_info(request) def list_certificates_with_http_info(self, request): """证书列表查询SSL证书列表。 :param ListCertificatesRequest request :return: ListCertificatesResponse """ all_params = ['admin_state_up', 'description', 'domain', 'id', 'limit', 'marker', 'name', 'page_reverse', 'type'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] if 'admin_state_up' in local_var_params: query_params.append(('admin_state_up', local_var_params['admin_state_up'])) if 'description' in local_var_params: query_params.append(('description', local_var_params['description'])) collection_formats['description'] = 'multi' if 'domain' in local_var_params: query_params.append(('domain', local_var_params['domain'])) collection_formats['domain'] = 'multi' if 'id' in local_var_params: query_params.append(('id', local_var_params['id'])) collection_formats['id'] = 'multi' if 'limit' in local_var_params: query_params.append(('limit', local_var_params['limit'])) if 'marker' in local_var_params: query_params.append(('marker', local_var_params['marker'])) if 'name' in local_var_params: query_params.append(('name', local_var_params['name'])) collection_formats['name'] = 'multi' if 'page_reverse' in local_var_params: query_params.append(('page_reverse', local_var_params['page_reverse'])) if 'type' in local_var_params: query_params.append(('type', local_var_params['type'])) collection_formats['type'] = 'multi' header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/certificates', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ListCertificatesResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def list_flavors_async(self, request): """查询规格列表查询所有的规格。 :param ListFlavorsRequest request :return: ListFlavorsResponse """ return self.list_flavors_with_http_info(request) def list_flavors_with_http_info(self, request): """查询规格列表查询所有的规格。 :param ListFlavorsRequest request :return: ListFlavorsResponse """ all_params = ['id', 'limit', 'marker', 'name', 'page_reverse', 'shared', 'type'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] if 'id' in local_var_params: query_params.append(('id', local_var_params['id'])) collection_formats['id'] = 'multi' if 'limit' in local_var_params: query_params.append(('limit', local_var_params['limit'])) if 'marker' in local_var_params: query_params.append(('marker', local_var_params['marker'])) if 'name' in local_var_params: query_params.append(('name', local_var_params['name'])) collection_formats['name'] = 'multi' if 'page_reverse' in local_var_params: query_params.append(('page_reverse', local_var_params['page_reverse'])) if 'shared' in local_var_params: query_params.append(('shared', local_var_params['shared'])) if 'type' in local_var_params: query_params.append(('type', local_var_params['type'])) collection_formats['type'] = 'multi' header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/flavors', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ListFlavorsResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def list_health_monitors_async(self, request): """查询健康检查列表健康检查列表。 :param ListHealthMonitorsRequest request :return: ListHealthMonitorsResponse """ return self.list_health_monitors_with_http_info(request) def list_health_monitors_with_http_info(self, request): """查询健康检查列表健康检查列表。 :param ListHealthMonitorsRequest request :return: ListHealthMonitorsResponse """ all_params = ['admin_state_up', 'delay', 'domain_name', 'enterprise_project_id', 'expected_codes', 'http_method', 'id', 'limit', 'marker', 'max_retries', 'max_retries_down', 'monitor_port', 'name', 'page_reverse', 'timeout', 'type', 'url_path'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] if 'admin_state_up' in local_var_params: query_params.append(('admin_state_up', local_var_params['admin_state_up'])) if 'delay' in local_var_params: query_params.append(('delay', local_var_params['delay'])) collection_formats['delay'] = 'multi' if 'domain_name' in local_var_params: query_params.append(('domain_name', local_var_params['domain_name'])) collection_formats['domain_name'] = 'multi' if 'enterprise_project_id' in local_var_params: query_params.append(('enterprise_project_id', local_var_params['enterprise_project_id'])) collection_formats['enterprise_project_id'] = 'multi' if 'expected_codes' in local_var_params: query_params.append(('expected_codes', local_var_params['expected_codes'])) collection_formats['expected_codes'] = 'multi' if 'http_method' in local_var_params: query_params.append(('http_method', local_var_params['http_method'])) collection_formats['http_method'] = 'multi' if 'id' in local_var_params: query_params.append(('id', local_var_params['id'])) collection_formats['id'] = 'multi' if 'limit' in local_var_params: query_params.append(('limit', local_var_params['limit'])) if 'marker' in local_var_params: query_params.append(('marker', local_var_params['marker'])) if 'max_retries' in local_var_params: query_params.append(('max_retries', local_var_params['max_retries'])) collection_formats['max_retries'] = 'multi' if 'max_retries_down' in local_var_params: query_params.append(('max_retries_down', local_var_params['max_retries_down'])) collection_formats['max_retries_down'] = 'multi' if 'monitor_port' in local_var_params: query_params.append(('monitor_port', local_var_params['monitor_port'])) collection_formats['monitor_port'] = 'multi' if 'name' in local_var_params: query_params.append(('name', local_var_params['name'])) collection_formats['name'] = 'multi' if 'page_reverse' in local_var_params: query_params.append(('page_reverse', local_var_params['page_reverse'])) if 'timeout' in local_var_params: query_params.append(('timeout', local_var_params['timeout'])) if 'type' in local_var_params: query_params.append(('type', local_var_params['type'])) collection_formats['type'] = 'multi' if 'url_path' in local_var_params: query_params.append(('url_path', local_var_params['url_path'])) collection_formats['url_path'] = 'multi' header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/healthmonitors', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ListHealthMonitorsResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def list_l7_policies_async(self, request): """查询转发策略列表查询转发策略列表。 :param ListL7PoliciesRequest request :return: ListL7PoliciesResponse """ return self.list_l7_policies_with_http_info(request) def list_l7_policies_with_http_info(self, request): """查询转发策略列表查询转发策略列表。 :param ListL7PoliciesRequest request :return: ListL7PoliciesResponse """ all_params = ['action', 'admin_state_up', 'description', 'display_all_rules', 'enterprise_project_id', 'id', 'limit', 'listener_id', 'marker', 'name', 'page_reverse', 'position', 'provisioning_status', 'redirect_listener_id', 'redirect_pool_id', 'redirect_url'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] if 'action' in local_var_params: query_params.append(('action', local_var_params['action'])) collection_formats['action'] = 'multi' if 'admin_state_up' in local_var_params: query_params.append(('admin_state_up', local_var_params['admin_state_up'])) if 'description' in local_var_params: query_params.append(('description', local_var_params['description'])) collection_formats['description'] = 'multi' if 'display_all_rules' in local_var_params: query_params.append(('display_all_rules', local_var_params['display_all_rules'])) if 'enterprise_project_id' in local_var_params: query_params.append(('enterprise_project_id', local_var_params['enterprise_project_id'])) collection_formats['enterprise_project_id'] = 'multi' if 'id' in local_var_params: query_params.append(('id', local_var_params['id'])) collection_formats['id'] = 'multi' if 'limit' in local_var_params: query_params.append(('limit', local_var_params['limit'])) if 'listener_id' in local_var_params: query_params.append(('listener_id', local_var_params['listener_id'])) collection_formats['listener_id'] = 'multi' if 'marker' in local_var_params: query_params.append(('marker', local_var_params['marker'])) if 'name' in local_var_params: query_params.append(('name', local_var_params['name'])) collection_formats['name'] = 'multi' if 'page_reverse' in local_var_params: query_params.append(('page_reverse', local_var_params['page_reverse'])) if 'position' in local_var_params: query_params.append(('position', local_var_params['position'])) collection_formats['position'] = 'multi' if 'provisioning_status' in local_var_params: query_params.append(('provisioning_status', local_var_params['provisioning_status'])) collection_formats['provisioning_status'] = 'multi' if 'redirect_listener_id' in local_var_params: query_params.append(('redirect_listener_id', local_var_params['redirect_listener_id'])) collection_formats['redirect_listener_id'] = 'multi' if 'redirect_pool_id' in local_var_params: query_params.append(('redirect_pool_id', local_var_params['redirect_pool_id'])) collection_formats['redirect_pool_id'] = 'multi' if 'redirect_url' in local_var_params: query_params.append(('redirect_url', local_var_params['redirect_url'])) collection_formats['redirect_url'] = 'multi' header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/l7policies', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ListL7PoliciesResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def list_l7_rules_async(self, request): """查询转发规则列表查询转发规则列表。 :param ListL7RulesRequest request :return: ListL7RulesResponse """ return self.list_l7_rules_with_http_info(request) def list_l7_rules_with_http_info(self, request): """查询转发规则列表查询转发规则列表。 :param ListL7RulesRequest request :return: ListL7RulesResponse """ all_params = ['l7policy_id', 'admin_state_up', 'compare_type', 'enterprise_project_id', 'id', 'invert', 'key', 'limit', 'marker', 'page_reverse', 'provisioning_status', 'type', 'value'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'l7policy_id' in local_var_params: path_params['l7policy_id'] = local_var_params['l7policy_id'] query_params = [] if 'admin_state_up' in local_var_params: query_params.append(('admin_state_up', local_var_params['admin_state_up'])) if 'compare_type' in local_var_params: query_params.append(('compare_type', local_var_params['compare_type'])) collection_formats['compare_type'] = 'multi' if 'enterprise_project_id' in local_var_params: query_params.append(('enterprise_project_id', local_var_params['enterprise_project_id'])) collection_formats['enterprise_project_id'] = 'multi' if 'id' in local_var_params: query_params.append(('id', local_var_params['id'])) collection_formats['id'] = 'multi' if 'invert' in local_var_params: query_params.append(('invert', local_var_params['invert'])) if 'key' in local_var_params: query_params.append(('key', local_var_params['key'])) collection_formats['key'] = 'multi' if 'limit' in local_var_params: query_params.append(('limit', local_var_params['limit'])) if 'marker' in local_var_params: query_params.append(('marker', local_var_params['marker'])) if 'page_reverse' in local_var_params: query_params.append(('page_reverse', local_var_params['page_reverse'])) if 'provisioning_status' in local_var_params: query_params.append(('provisioning_status', local_var_params['provisioning_status'])) collection_formats['provisioning_status'] = 'multi' if 'type' in local_var_params: query_params.append(('type', local_var_params['type'])) collection_formats['type'] = 'multi' if 'value' in local_var_params: query_params.append(('value', local_var_params['value'])) collection_formats['value'] = 'multi' header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/l7policies/{l7policy_id}/rules', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ListL7RulesResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def list_listeners_async(self, request): """查询监听器列表查询监听器列表。 :param ListListenersRequest request :return: ListListenersResponse """ return self.list_listeners_with_http_info(request) def list_listeners_with_http_info(self, request): """查询监听器列表查询监听器列表。 :param ListListenersRequest request :return: ListListenersResponse """ all_params = ['admin_state_up', 'client_ca_tls_container_ref', 'client_timeout', 'connection_limit', 'default_pool_id', 'default_tls_container_ref', 'description', 'enable_member_retry', 'enterprise_project_id', 'http2_enable', 'id', 'keepalive_timeout', 'limit', 'loadbalancer_id', 'marker', 'member_address', 'member_device_id', 'member_timeout', 'name', 'page_reverse', 'protocol', 'protocol_port', 'tls_ciphers_policy', 'transparent_client_ip_enable'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] if 'admin_state_up' in local_var_params: query_params.append(('admin_state_up', local_var_params['admin_state_up'])) if 'client_ca_tls_container_ref' in local_var_params: query_params.append(('client_ca_tls_container_ref', local_var_params['client_ca_tls_container_ref'])) collection_formats['client_ca_tls_container_ref'] = 'multi' if 'client_timeout' in local_var_params: query_params.append(('client_timeout', local_var_params['client_timeout'])) collection_formats['client_timeout'] = 'multi' if 'connection_limit' in local_var_params: query_params.append(('connection_limit', local_var_params['connection_limit'])) collection_formats['connection_limit'] = 'multi' if 'default_pool_id' in local_var_params: query_params.append(('default_pool_id', local_var_params['default_pool_id'])) collection_formats['default_pool_id'] = 'multi' if 'default_tls_container_ref' in local_var_params: query_params.append(('default_tls_container_ref', local_var_params['default_tls_container_ref'])) collection_formats['default_tls_container_ref'] = 'multi' if 'description' in local_var_params: query_params.append(('description', local_var_params['description'])) collection_formats['description'] = 'multi' if 'enable_member_retry' in local_var_params: query_params.append(('enable_member_retry', local_var_params['enable_member_retry'])) if 'enterprise_project_id' in local_var_params: query_params.append(('enterprise_project_id', local_var_params['enterprise_project_id'])) collection_formats['enterprise_project_id'] = 'multi' if 'http2_enable' in local_var_params: query_params.append(('http2_enable', local_var_params['http2_enable'])) if 'id' in local_var_params: query_params.append(('id', local_var_params['id'])) collection_formats['id'] = 'multi' if 'keepalive_timeout' in local_var_params: query_params.append(('keepalive_timeout', local_var_params['keepalive_timeout'])) collection_formats['keepalive_timeout'] = 'multi' if 'limit' in local_var_params: query_params.append(('limit', local_var_params['limit'])) if 'loadbalancer_id' in local_var_params: query_params.append(('loadbalancer_id', local_var_params['loadbalancer_id'])) collection_formats['loadbalancer_id'] = 'multi' if 'marker' in local_var_params: query_params.append(('marker', local_var_params['marker'])) if 'member_address' in local_var_params: query_params.append(('member_address', local_var_params['member_address'])) collection_formats['member_address'] = 'multi' if 'member_device_id' in local_var_params: query_params.append(('member_device_id', local_var_params['member_device_id'])) collection_formats['member_device_id'] = 'multi' if 'member_timeout' in local_var_params: query_params.append(('member_timeout', local_var_params['member_timeout'])) collection_formats['member_timeout'] = 'multi' if 'name' in local_var_params: query_params.append(('name', local_var_params['name'])) collection_formats['name'] = 'multi' if 'page_reverse' in local_var_params: query_params.append(('page_reverse', local_var_params['page_reverse'])) if 'protocol' in local_var_params: query_params.append(('protocol', local_var_params['protocol'])) collection_formats['protocol'] = 'multi' if 'protocol_port' in local_var_params: query_params.append(('protocol_port', local_var_params['protocol_port'])) collection_formats['protocol_port'] = 'multi' if 'tls_ciphers_policy' in local_var_params: query_params.append(('tls_ciphers_policy', local_var_params['tls_ciphers_policy'])) collection_formats['tls_ciphers_policy'] = 'multi' if 'transparent_client_ip_enable' in local_var_params: query_params.append(('transparent_client_ip_enable', local_var_params['transparent_client_ip_enable'])) header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/listeners', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ListListenersResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def list_load_balancers_async(self, request): """查询负载均衡器列表查询负载均衡器列表，支持过滤查询和分页查询 :param ListLoadBalancersRequest request :return: ListLoadBalancersResponse """ return self.list_load_balancers_with_http_info(request) def list_load_balancers_with_http_info(self, request): """查询负载均衡器列表查询负载均衡器列表，支持过滤查询和分页查询 :param ListLoadBalancersRequest request :return: ListLoadBalancersResponse """ all_params = ['admin_state_up', 'availability_zone_list', 'billing_info', 'deletion_protection_enable', 'description', 'eips', 'enterprise_project_id', 'guaranteed', 'id', 'ip_version', 'ipv6_vip_address', 'ipv6_vip_port_id', 'ipv6_vip_virsubnet_id', 'l4_flavor_id', 'l4_scale_flavor_id', 'l7_flavor_id', 'l7_scale_flavor_id', 'limit', 'marker', 'member_address', 'member_device_id', 'name', 'operating_status', 'page_reverse', 'provisioning_status', 'publicips', 'vip_address', 'vip_port_id', 'vip_subnet_cidr_id', 'vpc_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] if 'admin_state_up' in local_var_params: query_params.append(('admin_state_up', local_var_params['admin_state_up'])) if 'availability_zone_list' in local_var_params: query_params.append(('availability_zone_list', local_var_params['availability_zone_list'])) collection_formats['availability_zone_list'] = 'multi' if 'billing_info' in local_var_params: query_params.append(('billing_info', local_var_params['billing_info'])) collection_formats['billing_info'] = 'multi' if 'deletion_protection_enable' in local_var_params: query_params.append(('deletion_protection_enable', local_var_params['deletion_protection_enable'])) if 'description' in local_var_params: query_params.append(('description', local_var_params['description'])) collection_formats['description'] = 'multi' if 'eips' in local_var_params: query_params.append(('eips', local_var_params['eips'])) collection_formats['eips'] = 'multi' if 'enterprise_project_id' in local_var_params: query_params.append(('enterprise_project_id', local_var_params['enterprise_project_id'])) collection_formats['enterprise_project_id'] = 'multi' if 'guaranteed' in local_var_params: query_params.append(('guaranteed', local_var_params['guaranteed'])) if 'id' in local_var_params: query_params.append(('id', local_var_params['id'])) collection_formats['id'] = 'multi' if 'ip_version' in local_var_params: query_params.append(('ip_version', local_var_params['ip_version'])) collection_formats['ip_version'] = 'multi' if 'ipv6_vip_address' in local_var_params: query_params.append(('ipv6_vip_address', local_var_params['ipv6_vip_address'])) collection_formats['ipv6_vip_address'] = 'multi' if 'ipv6_vip_port_id' in local_var_params: query_params.append(('ipv6_vip_port_id', local_var_params['ipv6_vip_port_id'])) collection_formats['ipv6_vip_port_id'] = 'multi' if 'ipv6_vip_virsubnet_id' in local_var_params: query_params.append(('ipv6_vip_virsubnet_id', local_var_params['ipv6_vip_virsubnet_id'])) collection_formats['ipv6_vip_virsubnet_id'] = 'multi' if 'l4_flavor_id' in local_var_params: query_params.append(('l4_flavor_id', local_var_params['l4_flavor_id'])) collection_formats['l4_flavor_id'] = 'multi' if 'l4_scale_flavor_id' in local_var_params: query_params.append(('l4_scale_flavor_id', local_var_params['l4_scale_flavor_id'])) collection_formats['l4_scale_flavor_id'] = 'multi' if 'l7_flavor_id' in local_var_params: query_params.append(('l7_flavor_id', local_var_params['l7_flavor_id'])) collection_formats['l7_flavor_id'] = 'multi' if 'l7_scale_flavor_id' in local_var_params: query_params.append(('l7_scale_flavor_id', local_var_params['l7_scale_flavor_id'])) collection_formats['l7_scale_flavor_id'] = 'multi' if 'limit' in local_var_params: query_params.append(('limit', local_var_params['limit'])) if 'marker' in local_var_params: query_params.append(('marker', local_var_params['marker'])) if 'member_address' in local_var_params: query_params.append(('member_address', local_var_params['member_address'])) collection_formats['member_address'] = 'multi' if 'member_device_id' in local_var_params: query_params.append(('member_device_id', local_var_params['member_device_id'])) collection_formats['member_device_id'] = 'multi' if 'name' in local_var_params: query_params.append(('name', local_var_params['name'])) collection_formats['name'] = 'multi' if 'operating_status' in local_var_params: query_params.append(('operating_status', local_var_params['operating_status'])) collection_formats['operating_status'] = 'multi' if 'page_reverse' in local_var_params: query_params.append(('page_reverse', local_var_params['page_reverse'])) if 'provisioning_status' in local_var_params: query_params.append(('provisioning_status', local_var_params['provisioning_status'])) collection_formats['provisioning_status'] = 'multi' if 'publicips' in local_var_params: query_params.append(('publicips', local_var_params['publicips'])) collection_formats['publicips'] = 'multi' if 'vip_address' in local_var_params: query_params.append(('vip_address', local_var_params['vip_address'])) collection_formats['vip_address'] = 'multi' if 'vip_port_id' in local_var_params: query_params.append(('vip_port_id', local_var_params['vip_port_id'])) collection_formats['vip_port_id'] = 'multi' if 'vip_subnet_cidr_id' in local_var_params: query_params.append(('vip_subnet_cidr_id', local_var_params['vip_subnet_cidr_id'])) collection_formats['vip_subnet_cidr_id'] = 'multi' if 'vpc_id' in local_var_params: query_params.append(('vpc_id', local_var_params['vpc_id'])) collection_formats['vpc_id'] = 'multi' header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/loadbalancers', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ListLoadBalancersResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def list_members_async(self, request): """后端服务器列表 Pool下的后端服务器列表。 :param ListMembersRequest request :return: ListMembersResponse """ return self.list_members_with_http_info(request) def list_members_with_http_info(self, request): """后端服务器列表 Pool下的后端服务器列表。 :param ListMembersRequest request :return: ListMembersResponse """ all_params = ['pool_id', 'address', 'admin_state_up', 'enterprise_project_id', 'id', 'limit', 'marker', 'name', 'operating_status', 'page_reverse', 'protocol_port', 'subnet_cidr_id', 'weight'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'pool_id' in local_var_params: path_params['pool_id'] = local_var_params['pool_id'] query_params = [] if 'address' in local_var_params: query_params.append(('address', local_var_params['address'])) collection_formats['address'] = 'multi' if 'admin_state_up' in local_var_params: query_params.append(('admin_state_up', local_var_params['admin_state_up'])) if 'enterprise_project_id' in local_var_params: query_params.append(('enterprise_project_id', local_var_params['enterprise_project_id'])) collection_formats['enterprise_project_id'] = 'multi' if 'id' in local_var_params: query_params.append(('id', local_var_params['id'])) collection_formats['id'] = 'multi' if 'limit' in local_var_params: query_params.append(('limit', local_var_params['limit'])) if 'marker' in local_var_params: query_params.append(('marker', local_var_params['marker'])) if 'name' in local_var_params: query_params.append(('name', local_var_params['name'])) collection_formats['name'] = 'multi' if 'operating_status' in local_var_params: query_params.append(('operating_status', local_var_params['operating_status'])) collection_formats['operating_status'] = 'multi' if 'page_reverse' in local_var_params: query_params.append(('page_reverse', local_var_params['page_reverse'])) if 'protocol_port' in local_var_params: query_params.append(('protocol_port', local_var_params['protocol_port'])) collection_formats['protocol_port'] = 'multi' if 'subnet_cidr_id' in local_var_params: query_params.append(('subnet_cidr_id', local_var_params['subnet_cidr_id'])) collection_formats['subnet_cidr_id'] = 'multi' if 'weight' in local_var_params: query_params.append(('weight', local_var_params['weight'])) collection_formats['weight'] = 'multi' header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/pools/{pool_id}/members', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ListMembersResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def list_pools_async(self, request): """查询后端服务器组列表后端服务器组列表。 :param ListPoolsRequest request :return: ListPoolsResponse """ return self.list_pools_with_http_info(request) def list_pools_with_http_info(self, request): """查询后端服务器组列表后端服务器组列表。 :param ListPoolsRequest request :return: ListPoolsResponse """ all_params = ['admin_state_up', 'description', 'enterprise_project_id', 'healthmonitor_id', 'id', 'ip_version', 'lb_algorithm', 'limit', 'loadbalancer_id', 'marker', 'member_address', 'member_deletion_protection_enable', 'member_device_id', 'name', 'page_reverse', 'protocol'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] if 'admin_state_up' in local_var_params: query_params.append(('admin_state_up', local_var_params['admin_state_up'])) if 'description' in local_var_params: query_params.append(('description', local_var_params['description'])) collection_formats['description'] = 'multi' if 'enterprise_project_id' in local_var_params: query_params.append(('enterprise_project_id', local_var_params['enterprise_project_id'])) collection_formats['enterprise_project_id'] = 'multi' if 'healthmonitor_id' in local_var_params: query_params.append(('healthmonitor_id', local_var_params['healthmonitor_id'])) collection_formats['healthmonitor_id'] = 'multi' if 'id' in local_var_params: query_params.append(('id', local_var_params['id'])) collection_formats['id'] = 'multi' if 'ip_version' in local_var_params: query_params.append(('ip_version', local_var_params['ip_version'])) collection_formats['ip_version'] = 'multi' if 'lb_algorithm' in local_var_params: query_params.append(('lb_algorithm', local_var_params['lb_algorithm'])) collection_formats['lb_algorithm'] = 'multi' if 'limit' in local_var_params: query_params.append(('limit', local_var_params['limit'])) if 'loadbalancer_id' in local_var_params: query_params.append(('loadbalancer_id', local_var_params['loadbalancer_id'])) collection_formats['loadbalancer_id'] = 'multi' if 'marker' in local_var_params: query_params.append(('marker', local_var_params['marker'])) if 'member_address' in local_var_params: query_params.append(('member_address', local_var_params['member_address'])) collection_formats['member_address'] = 'multi' if 'member_deletion_protection_enable' in local_var_params: query_params.append(('member_deletion_protection_enable', local_var_params['member_deletion_protection_enable'])) if 'member_device_id' in local_var_params: query_params.append(('member_device_id', local_var_params['member_device_id'])) collection_formats['member_device_id'] = 'multi' if 'name' in local_var_params: query_params.append(('name', local_var_params['name'])) collection_formats['name'] = 'multi' if 'page_reverse' in local_var_params: query_params.append(('page_reverse', local_var_params['page_reverse'])) if 'protocol' in local_var_params: query_params.append(('protocol', local_var_params['protocol'])) collection_formats['protocol'] = 'multi' header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/pools', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ListPoolsResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def show_certificate_async(self, request): """证书详情查询SSL证书详情。 :param ShowCertificateRequest request :return: ShowCertificateResponse """ return self.show_certificate_with_http_info(request) def show_certificate_with_http_info(self, request): """证书详情查询SSL证书详情。 :param ShowCertificateRequest request :return: ShowCertificateResponse """ all_params = ['certificate_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'certificate_id' in local_var_params: path_params['certificate_id'] = local_var_params['certificate_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/certificates/{certificate_id}', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ShowCertificateResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def show_flavor_async(self, request): """查询规格详情查询规格的详情。 :param ShowFlavorRequest request :return: ShowFlavorResponse """ return self.show_flavor_with_http_info(request) def show_flavor_with_http_info(self, request): """查询规格详情查询规格的详情。 :param ShowFlavorRequest request :return: ShowFlavorResponse """ all_params = ['flavor_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'flavor_id' in local_var_params: path_params['flavor_id'] = local_var_params['flavor_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/flavors/{flavor_id}', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ShowFlavorResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def show_health_monitor_async(self, request): """查询健康检查详情查询健康检查详情。 :param ShowHealthMonitorRequest request :return: ShowHealthMonitorResponse """ return self.show_health_monitor_with_http_info(request) def show_health_monitor_with_http_info(self, request): """查询健康检查详情查询健康检查详情。 :param ShowHealthMonitorRequest request :return: ShowHealthMonitorResponse """ all_params = ['healthmonitor_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'healthmonitor_id' in local_var_params: path_params['healthmonitor_id'] = local_var_params['healthmonitor_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/healthmonitors/{healthmonitor_id}', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ShowHealthMonitorResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def show_l7_policy_async(self, request): """查询转发策略详情查询转发策略详情。 :param ShowL7PolicyRequest request :return: ShowL7PolicyResponse """ return self.show_l7_policy_with_http_info(request) def show_l7_policy_with_http_info(self, request): """查询转发策略详情查询转发策略详情。 :param ShowL7PolicyRequest request :return: ShowL7PolicyResponse """ all_params = ['l7policy_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'l7policy_id' in local_var_params: path_params['l7policy_id'] = local_var_params['l7policy_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/l7policies/{l7policy_id}', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ShowL7PolicyResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def show_l7_rule_async(self, request): """查询转发规则详情查询转发规则详情 :param ShowL7RuleRequest request :return: ShowL7RuleResponse """ return self.show_l7_rule_with_http_info(request) def show_l7_rule_with_http_info(self, request): """查询转发规则详情查询转发规则详情 :param ShowL7RuleRequest request :return: ShowL7RuleResponse """ all_params = ['l7policy_id', 'l7rule_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'l7policy_id' in local_var_params: path_params['l7policy_id'] = local_var_params['l7policy_id'] if 'l7rule_id' in local_var_params: path_params['l7rule_id'] = local_var_params['l7rule_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/l7policies/{l7policy_id}/rules/{l7rule_id}', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ShowL7RuleResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def show_listener_async(self, request): """查询监听器详情监听器详情。 :param ShowListenerRequest request :return: ShowListenerResponse """ return self.show_listener_with_http_info(request) def show_listener_with_http_info(self, request): """查询监听器详情监听器详情。 :param ShowListenerRequest request :return: ShowListenerResponse """ all_params = ['listener_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'listener_id' in local_var_params: path_params['listener_id'] = local_var_params['listener_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/listeners/{listener_id}', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ShowListenerResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def show_load_balancer_async(self, request): """查询负载均衡器详情查询负载均衡器详情 :param ShowLoadBalancerRequest request :return: ShowLoadBalancerResponse """ return self.show_load_balancer_with_http_info(request) def show_load_balancer_with_http_info(self, request): """查询负载均衡器详情查询负载均衡器详情 :param ShowLoadBalancerRequest request :return: ShowLoadBalancerResponse """ all_params = ['loadbalancer_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'loadbalancer_id' in local_var_params: path_params['loadbalancer_id'] = local_var_params['loadbalancer_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/loadbalancers/{loadbalancer_id}', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ShowLoadBalancerResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def show_load_balancer_status_async(self, request): """查询负载均衡器状态树查询负载均衡器状态树，列出负载均衡器关联的子资源的信息 :param ShowLoadBalancerStatusRequest request :return: ShowLoadBalancerStatusResponse """ return self.show_load_balancer_status_with_http_info(request) def show_load_balancer_status_with_http_info(self, request): """查询负载均衡器状态树查询负载均衡器状态树，列出负载均衡器关联的子资源的信息 :param ShowLoadBalancerStatusRequest request :return: ShowLoadBalancerStatusResponse """ all_params = ['loadbalancer_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'loadbalancer_id' in local_var_params: path_params['loadbalancer_id'] = local_var_params['loadbalancer_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/loadbalancers/{loadbalancer_id}/statuses', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ShowLoadBalancerStatusResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def show_member_async(self, request): """后端服务器详情后端服务器详情 :param ShowMemberRequest request :return: ShowMemberResponse """ return self.show_member_with_http_info(request) def show_member_with_http_info(self, request): """后端服务器详情后端服务器详情 :param ShowMemberRequest request :return: ShowMemberResponse """ all_params = ['member_id', 'pool_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'member_id' in local_var_params: path_params['member_id'] = local_var_params['member_id'] if 'pool_id' in local_var_params: path_params['pool_id'] = local_var_params['pool_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/pools/{pool_id}/members/{member_id}', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ShowMemberResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def show_pool_async(self, request): """查询后端服务器组详情后端服务器组详情。 :param ShowPoolRequest request :return: ShowPoolResponse """ return self.show_pool_with_http_info(request) def show_pool_with_http_info(self, request): """查询后端服务器组详情后端服务器组详情。 :param ShowPoolRequest request :return: ShowPoolResponse """ all_params = ['pool_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'pool_id' in local_var_params: path_params['pool_id'] = local_var_params['pool_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/pools/{pool_id}', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ShowPoolResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def show_quota_async(self, request): """查询配额详情【不开放】查询特定项目的配额数。 :param ShowQuotaRequest request :return: ShowQuotaResponse """ return self.show_quota_with_http_info(request) def show_quota_with_http_info(self, request): """查询配额详情【不开放】查询特定项目的配额数。 :param ShowQuotaRequest request :return: ShowQuotaResponse """ all_params = [] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/quotas', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ShowQuotaResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def show_quota_defaults_async(self, request): """查询默认配额【不开放】查询默认配额数。 :param ShowQuotaDefaultsRequest request :return: ShowQuotaDefaultsResponse """ return self.show_quota_defaults_with_http_info(request) def show_quota_defaults_with_http_info(self, request): """查询默认配额【不开放】查询默认配额数。 :param ShowQuotaDefaultsRequest request :return: ShowQuotaDefaultsResponse """ all_params = [] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/quotas/defaults', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ShowQuotaDefaultsResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def update_certificate_async(self, request): """更新证书更新SSL证书。 :param UpdateCertificateRequest request :return: UpdateCertificateResponse """ return self.update_certificate_with_http_info(request) def update_certificate_with_http_info(self, request): """更新证书更新SSL证书。 :param UpdateCertificateRequest request :return: UpdateCertificateResponse """ all_params = ['certificate_id', 'update_certificate_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'certificate_id' in local_var_params: path_params['certificate_id'] = local_var_params['certificate_id'] query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/certificates/{certificate_id}', method='PUT', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='UpdateCertificateResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def update_health_monitor_async(self, request): """更新健康检查更新健康检查。 :param UpdateHealthMonitorRequest request :return: UpdateHealthMonitorResponse """ return self.update_health_monitor_with_http_info(request) def update_health_monitor_with_http_info(self, request): """更新健康检查更新健康检查。 :param UpdateHealthMonitorRequest request :return: UpdateHealthMonitorResponse """ all_params = ['healthmonitor_id', 'update_health_monitor_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'healthmonitor_id' in local_var_params: path_params['healthmonitor_id'] = local_var_params['healthmonitor_id'] query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/healthmonitors/{healthmonitor_id}', method='PUT', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='UpdateHealthMonitorResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def update_l7_policy_async(self, request): """更新转发策略更新转发策略。 :param UpdateL7PolicyRequest request :return: UpdateL7PolicyResponse """ return self.update_l7_policy_with_http_info(request) def update_l7_policy_with_http_info(self, request): """更新转发策略更新转发策略。 :param UpdateL7PolicyRequest request :return: UpdateL7PolicyResponse """ all_params = ['l7policy_id', 'update_l7_policy_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'l7policy_id' in local_var_params: path_params['l7policy_id'] = local_var_params['l7policy_id'] query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/l7policies/{l7policy_id}', method='PUT', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='UpdateL7PolicyResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def update_l7_rule_async(self, request): """更新转发规则更新转发规则。 :param UpdateL7RuleRequest request :return: UpdateL7RuleResponse """ return self.update_l7_rule_with_http_info(request) def update_l7_rule_with_http_info(self, request): """更新转发规则更新转发规则。 :param UpdateL7RuleRequest request :return: UpdateL7RuleResponse """ all_params = ['l7policy_id', 'l7rule_id', 'update_l7_rule_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'l7policy_id' in local_var_params: path_params['l7policy_id'] = local_var_params['l7policy_id'] if 'l7rule_id' in local_var_params: path_params['l7rule_id'] = local_var_params['l7rule_id'] query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/l7policies/{l7policy_id}/rules/{l7rule_id}', method='PUT', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='UpdateL7RuleResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def update_listener_async(self, request): """更新监听器更新监听器。 :param UpdateListenerRequest request :return: UpdateListenerResponse """ return self.update_listener_with_http_info(request) def update_listener_with_http_info(self, request): """更新监听器更新监听器。 :param UpdateListenerRequest request :return: UpdateListenerResponse """ all_params = ['listener_id', 'update_listener_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'listener_id' in local_var_params: path_params['listener_id'] = local_var_params['listener_id'] query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/listeners/{listener_id}', method='PUT', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='UpdateListenerResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def update_load_balancer_async(self, request): """更新负载均衡器更新负载均衡器。 :param UpdateLoadBalancerRequest request :return: UpdateLoadBalancerResponse """ return self.update_load_balancer_with_http_info(request) def update_load_balancer_with_http_info(self, request): """更新负载均衡器更新负载均衡器。 :param UpdateLoadBalancerRequest request :return: UpdateLoadBalancerResponse """ all_params = ['loadbalancer_id', 'update_load_balancer_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'loadbalancer_id' in local_var_params: path_params['loadbalancer_id'] = local_var_params['loadbalancer_id'] query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/loadbalancers/{loadbalancer_id}', method='PUT', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='UpdateLoadBalancerResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def update_member_async(self, request): """更新后端服务器如果member绑定的负载均衡器的provisioning status不是ACTIVE，则不能更新该member。 :param UpdateMemberRequest request :return: UpdateMemberResponse """ return self.update_member_with_http_info(request) def update_member_with_http_info(self, request): """更新后端服务器如果member绑定的负载均衡器的provisioning status不是ACTIVE，则不能更新该member。 :param UpdateMemberRequest request :return: UpdateMemberResponse """ all_params = ['member_id', 'pool_id', 'update_member_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'member_id' in local_var_params: path_params['member_id'] = local_var_params['member_id'] if 'pool_id' in local_var_params: path_params['pool_id'] = local_var_params['pool_id'] query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/pools/{pool_id}/members/{member_id}', method='PUT', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='UpdateMemberResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def update_pool_async(self, request): """更新后端服务器组更新后端服务器组。 :param UpdatePoolRequest request :return: UpdatePoolResponse """ return self.update_pool_with_http_info(request) def update_pool_with_http_info(self, request): """更新后端服务器组更新后端服务器组。 :param UpdatePoolRequest request :return: UpdatePoolResponse """ all_params = ['pool_id', 'update_pool_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'pool_id' in local_var_params: path_params['pool_id'] = local_var_params['pool_id'] query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/pools/{pool_id}', method='PUT', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='UpdatePoolResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def count_preoccupy_ip_num_async(self, request): """计算预占IP数计算创建一个负载均衡实例和第一个七层监听器需预占用的IP数 :param CountPreoccupyIpNumRequest request :return: CountPreoccupyIpNumResponse """ return self.count_preoccupy_ip_num_with_http_info(request) def count_preoccupy_ip_num_with_http_info(self, request): """计算预占IP数计算创建一个负载均衡实例和第一个七层监听器需预占用的IP数 :param CountPreoccupyIpNumRequest request :return: CountPreoccupyIpNumResponse """ all_params = ['availability_zone_id', 'ip_target_enable', 'ip_version', 'l7_flavor_id', 'loadbalancer_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] if 'availability_zone_id' in local_var_params: query_params.append(('availability_zone_id', local_var_params['availability_zone_id'])) collection_formats['availability_zone_id'] = 'multi' if 'ip_target_enable' in local_var_params: query_params.append(('ip_target_enable', local_var_params['ip_target_enable'])) if 'ip_version' in local_var_params: query_params.append(('ip_version', local_var_params['ip_version'])) if 'l7_flavor_id' in local_var_params: query_params.append(('l7_flavor_id', local_var_params['l7_flavor_id'])) if 'loadbalancer_id' in local_var_params: query_params.append(('loadbalancer_id', local_var_params['loadbalancer_id'])) header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/preoccupy-ip-num', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='CountPreoccupyIpNumResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def create_ip_group_async(self, request): """创建IP地址组创建ip地址组 :param CreateIpGroupRequest request :return: CreateIpGroupResponse """ return self.create_ip_group_with_http_info(request) def create_ip_group_with_http_info(self, request): """创建IP地址组创建ip地址组 :param CreateIpGroupRequest request :return: CreateIpGroupResponse """ all_params = ['create_ip_group_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/ipgroups', method='POST', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='CreateIpGroupResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def delete_ip_group_async(self, request): """删除IP地址组删除ip地址组。 :param DeleteIpGroupRequest request :return: DeleteIpGroupResponse """ return self.delete_ip_group_with_http_info(request) def delete_ip_group_with_http_info(self, request): """删除IP地址组删除ip地址组。 :param DeleteIpGroupRequest request :return: DeleteIpGroupResponse """ all_params = ['ipgroup_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'ipgroup_id' in local_var_params: path_params['ipgroup_id'] = local_var_params['ipgroup_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/ipgroups/{ipgroup_id}', method='DELETE', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='DeleteIpGroupResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def list_ip_groups_async(self, request): """查询IP地址组列表查询IP地址组列表 :param ListIpGroupsRequest request :return: ListIpGroupsResponse """ return self.list_ip_groups_with_http_info(request) def list_ip_groups_with_http_info(self, request): """查询IP地址组列表查询IP地址组列表 :param ListIpGroupsRequest request :return: ListIpGroupsResponse """ all_params = ['description', 'id', 'ip_list', 'limit', 'marker', 'name', 'page_reverse'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} query_params = [] if 'description' in local_var_params: query_params.append(('description', local_var_params['description'])) collection_formats['description'] = 'multi' if 'id' in local_var_params: query_params.append(('id', local_var_params['id'])) collection_formats['id'] = 'multi' if 'ip_list' in local_var_params: query_params.append(('ip_list', local_var_params['ip_list'])) collection_formats['ip_list'] = 'multi' if 'limit' in local_var_params: query_params.append(('limit', local_var_params['limit'])) if 'marker' in local_var_params: query_params.append(('marker', local_var_params['marker'])) if 'name' in local_var_params: query_params.append(('name', local_var_params['name'])) collection_formats['name'] = 'multi' if 'page_reverse' in local_var_params: query_params.append(('page_reverse', local_var_params['page_reverse'])) header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/ipgroups', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ListIpGroupsResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def show_ip_group_async(self, request): """查询IP地址组详情获取ip地址组详情 :param ShowIpGroupRequest request :return: ShowIpGroupResponse """ return self.show_ip_group_with_http_info(request) def show_ip_group_with_http_info(self, request): """查询IP地址组详情获取ip地址组详情 :param ShowIpGroupRequest request :return: ShowIpGroupResponse """ all_params = ['ipgroup_id'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'ipgroup_id' in local_var_params: path_params['ipgroup_id'] = local_var_params['ipgroup_id'] query_params = [] header_params = {} form_params = {} body_params = None if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/ipgroups/{ipgroup_id}', method='GET', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='ShowIpGroupResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def update_ip_group_async(self, request): """更新IP地址组更新ip地址组，只支持全量更新ip。 :param UpdateIpGroupRequest request :return: UpdateIpGroupResponse """ return self.update_ip_group_with_http_info(request) def update_ip_group_with_http_info(self, request): """更新IP地址组更新ip地址组，只支持全量更新ip。 :param UpdateIpGroupRequest request :return: UpdateIpGroupResponse """ all_params = ['ipgroup_id', 'update_ip_group_request_body'] local_var_params = {} for attr in request.attribute_map: if hasattr(request, attr): local_var_params[attr] = getattr(request, attr) collection_formats = {} path_params = {} if 'ipgroup_id' in local_var_params: path_params['ipgroup_id'] = local_var_params['ipgroup_id'] query_params = [] header_params = {} form_params = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] if isinstance(request, SdkStreamRequest): body_params = request.get_file_stream() response_headers = [] header_params['Content-Type'] = http_utils.select_header_content_type( ['application/json;charset=UTF-8']) auth_settings = [] return self.call_api( resource_path='/v3/{project_id}/elb/ipgroups/{ipgroup_id}', method='PUT', path_params=path_params, query_params=query_params, header_params=header_params, body=body_params, post_params=form_params, response_type='UpdateIpGroupResponse', response_headers=response_headers, auth_settings=auth_settings, collection_formats=collection_formats, request_type=request.__class__.__name__) def call_api(self, resource_path, method, path_params=None, query_params=None, header_params=None, body=None, post_params=None, response_type=None, response_headers=None, auth_settings=None, collection_formats=None, request_type=None): """Makes the HTTP request and returns deserialized data. :param resource_path: Path to method endpoint. :param method: Method to call. :param path_params: Path parameters in the url. :param query_params: Query parameters in the url. :param header_params: Header parameters to be placed in the request header. :param body: Request body. :param post_params dict: Request post form parameters, for `application/x-www-form-urlencoded`, `multipart/form-data`. :param auth_settings list: Auth Settings names for the request. :param response_type: Response data type. :param response_headers: Header should be added to response data. :param collection_formats: dict of collection formats for path, query, header, and post parameters. :param request_type: Request data type. :return: Return the response directly. """ return self.do_http_request( method=method, resource_path=resource_path, path_params=path_params, query_params=query_params, header_params=header_params, body=body, post_params=post_params, response_type=response_type, response_headers=response_headers, collection_formats=collection_formats, request_type=request_type, async_request=True)

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533

0.629564

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5.681201

0.035497

0.059179

0.103564

0.047978

0.891641

0.870955

0.841629

0.811418

0.800507

0.694011

0

0.003212

0.276737

129,137

3,884

534

33.248455

0.807302

0.087597

0

0.809483

0

0.151475

0.050791

0

1

0.046147

false

0

0.004234

0

0.097798

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null

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1

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1

0

null

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7

8363cb7c27d973bf42b237c56b3e909d8259b4b4

18,556

py

Python

sdk/python/pulumi_ucloud/ulb/lb_rule.py

AaronFriel/pulumi-ucloud

199278786dddf46bdd370f3f805e30b279c63ff2

[ "ECL-2.0", "Apache-2.0" ]

4

2021-08-18T04:55:38.000Z

2021-09-08T07:59:24.000Z

sdk/python/pulumi_ucloud/ulb/lb_rule.py

AaronFriel/pulumi-ucloud

199278786dddf46bdd370f3f805e30b279c63ff2

[ "ECL-2.0", "Apache-2.0" ]

1

2022-01-28T17:59:37.000Z

2022-01-29T03:44:09.000Z

sdk/python/pulumi_ucloud/ulb/lb_rule.py

AaronFriel/pulumi-ucloud

199278786dddf46bdd370f3f805e30b279c63ff2

[ "ECL-2.0", "Apache-2.0" ]

2

2021-06-23T07:10:40.000Z

2021-06-23T09:25:12.000Z

# 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 __all__ = ['LBRuleArgs', 'LBRule'] @pulumi.input_type class LBRuleArgs: def __init__(__self__, *, backend_ids: pulumi.Input[Sequence[pulumi.Input[str]]], listener_id: pulumi.Input[str], load_balancer_id: pulumi.Input[str], domain: Optional[pulumi.Input[str]] = None, path: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a LBRule resource. :param pulumi.Input[Sequence[pulumi.Input[str]]] backend_ids: The IDs of the backend servers where rule applies, this argument is populated base on the `backend_id` responded from `lb_attachment` create. :param pulumi.Input[str] listener_id: The ID of a listener server. :param pulumi.Input[str] load_balancer_id: The ID of a load balancer. :param pulumi.Input[str] domain: The domain of content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. :param pulumi.Input[str] path: The path of Content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. """ pulumi.set(__self__, "backend_ids", backend_ids) pulumi.set(__self__, "listener_id", listener_id) pulumi.set(__self__, "load_balancer_id", load_balancer_id) if domain is not None: pulumi.set(__self__, "domain", domain) if path is not None: pulumi.set(__self__, "path", path) @property @pulumi.getter(name="backendIds") def backend_ids(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: """ The IDs of the backend servers where rule applies, this argument is populated base on the `backend_id` responded from `lb_attachment` create. """ return pulumi.get(self, "backend_ids") @backend_ids.setter def backend_ids(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "backend_ids", value) @property @pulumi.getter(name="listenerId") def listener_id(self) -> pulumi.Input[str]: """ The ID of a listener server. """ return pulumi.get(self, "listener_id") @listener_id.setter def listener_id(self, value: pulumi.Input[str]): pulumi.set(self, "listener_id", value) @property @pulumi.getter(name="loadBalancerId") def load_balancer_id(self) -> pulumi.Input[str]: """ The ID of a load balancer. """ return pulumi.get(self, "load_balancer_id") @load_balancer_id.setter def load_balancer_id(self, value: pulumi.Input[str]): pulumi.set(self, "load_balancer_id", value) @property @pulumi.getter def domain(self) -> Optional[pulumi.Input[str]]: """ The domain of content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. """ return pulumi.get(self, "domain") @domain.setter def domain(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "domain", value) @property @pulumi.getter def path(self) -> Optional[pulumi.Input[str]]: """ The path of Content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. """ return pulumi.get(self, "path") @path.setter def path(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "path", value) @pulumi.input_type class _LBRuleState: def __init__(__self__, *, backend_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, domain: Optional[pulumi.Input[str]] = None, listener_id: Optional[pulumi.Input[str]] = None, load_balancer_id: Optional[pulumi.Input[str]] = None, path: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering LBRule resources. :param pulumi.Input[Sequence[pulumi.Input[str]]] backend_ids: The IDs of the backend servers where rule applies, this argument is populated base on the `backend_id` responded from `lb_attachment` create. :param pulumi.Input[str] domain: The domain of content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. :param pulumi.Input[str] listener_id: The ID of a listener server. :param pulumi.Input[str] load_balancer_id: The ID of a load balancer. :param pulumi.Input[str] path: The path of Content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. """ if backend_ids is not None: pulumi.set(__self__, "backend_ids", backend_ids) if domain is not None: pulumi.set(__self__, "domain", domain) if listener_id is not None: pulumi.set(__self__, "listener_id", listener_id) if load_balancer_id is not None: pulumi.set(__self__, "load_balancer_id", load_balancer_id) if path is not None: pulumi.set(__self__, "path", path) @property @pulumi.getter(name="backendIds") def backend_ids(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ The IDs of the backend servers where rule applies, this argument is populated base on the `backend_id` responded from `lb_attachment` create. """ return pulumi.get(self, "backend_ids") @backend_ids.setter def backend_ids(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "backend_ids", value) @property @pulumi.getter def domain(self) -> Optional[pulumi.Input[str]]: """ The domain of content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. """ return pulumi.get(self, "domain") @domain.setter def domain(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "domain", value) @property @pulumi.getter(name="listenerId") def listener_id(self) -> Optional[pulumi.Input[str]]: """ The ID of a listener server. """ return pulumi.get(self, "listener_id") @listener_id.setter def listener_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "listener_id", value) @property @pulumi.getter(name="loadBalancerId") def load_balancer_id(self) -> Optional[pulumi.Input[str]]: """ The ID of a load balancer. """ return pulumi.get(self, "load_balancer_id") @load_balancer_id.setter def load_balancer_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "load_balancer_id", value) @property @pulumi.getter def path(self) -> Optional[pulumi.Input[str]]: """ The path of Content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. """ return pulumi.get(self, "path") @path.setter def path(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "path", value) class LBRule(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, backend_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, domain: Optional[pulumi.Input[str]] = None, listener_id: Optional[pulumi.Input[str]] = None, load_balancer_id: Optional[pulumi.Input[str]] = None, path: Optional[pulumi.Input[str]] = None, __props__=None): """ Provides a Load Balancer Rule resource to add content forwarding policies for Load Balancer backend resource. > **Note** The Load Balancer Rule can only be define while the `protocol` of lb listener is one of HTTP and HTTPS. In addition, should set one of `domain` and `path` if defined. ## Example Usage ```python import pulumi import pulumi_ucloud as ucloud default_image = ucloud.uhost.get_image(availability_zone="cn-bj2-02", name_regex="^CentOS 6.5 64", image_type="base") web_lb = ucloud.ulb.LB("webLB", tag="tf-example") default_lb_listener = ucloud.ulb.LBListener("defaultLBListener", load_balancer_id=web_lb.id, protocol="http") web_instance = ucloud.uhost.Instance("webInstance", instance_type="n-basic-2", availability_zone="cn-bj2-02", root_password="wA1234567", image_id=default_image.images[0].id, tag="tf-example") default_lb_attachment = ucloud.ulb.LBAttachment("defaultLBAttachment", load_balancer_id=web_lb.id, listener_id=default_lb_listener.id, resource_type="instance", resource_id=web_instance.id, port=80) example = ucloud.ulb.LBRule("example", load_balancer_id=web_lb.id, listener_id=default_lb_listener.id, backend_ids=[__item.id for __item in [default_lb_attachment]], domain="www.ucloud.cn") ``` ## Import LB Listener can be imported using the `id`, e.g. ```sh $ pulumi import ucloud:ulb/lBRule:LBRule example rule-abcdefg ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[str]]] backend_ids: The IDs of the backend servers where rule applies, this argument is populated base on the `backend_id` responded from `lb_attachment` create. :param pulumi.Input[str] domain: The domain of content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. :param pulumi.Input[str] listener_id: The ID of a listener server. :param pulumi.Input[str] load_balancer_id: The ID of a load balancer. :param pulumi.Input[str] path: The path of Content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. """ ... @overload def __init__(__self__, resource_name: str, args: LBRuleArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Provides a Load Balancer Rule resource to add content forwarding policies for Load Balancer backend resource. > **Note** The Load Balancer Rule can only be define while the `protocol` of lb listener is one of HTTP and HTTPS. In addition, should set one of `domain` and `path` if defined. ## Example Usage ```python import pulumi import pulumi_ucloud as ucloud default_image = ucloud.uhost.get_image(availability_zone="cn-bj2-02", name_regex="^CentOS 6.5 64", image_type="base") web_lb = ucloud.ulb.LB("webLB", tag="tf-example") default_lb_listener = ucloud.ulb.LBListener("defaultLBListener", load_balancer_id=web_lb.id, protocol="http") web_instance = ucloud.uhost.Instance("webInstance", instance_type="n-basic-2", availability_zone="cn-bj2-02", root_password="wA1234567", image_id=default_image.images[0].id, tag="tf-example") default_lb_attachment = ucloud.ulb.LBAttachment("defaultLBAttachment", load_balancer_id=web_lb.id, listener_id=default_lb_listener.id, resource_type="instance", resource_id=web_instance.id, port=80) example = ucloud.ulb.LBRule("example", load_balancer_id=web_lb.id, listener_id=default_lb_listener.id, backend_ids=[__item.id for __item in [default_lb_attachment]], domain="www.ucloud.cn") ``` ## Import LB Listener can be imported using the `id`, e.g. ```sh $ pulumi import ucloud:ulb/lBRule:LBRule example rule-abcdefg ``` :param str resource_name: The name of the resource. :param LBRuleArgs 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(LBRuleArgs, 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, backend_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, domain: Optional[pulumi.Input[str]] = None, listener_id: Optional[pulumi.Input[str]] = None, load_balancer_id: Optional[pulumi.Input[str]] = None, path: 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__ = LBRuleArgs.__new__(LBRuleArgs) if backend_ids is None and not opts.urn: raise TypeError("Missing required property 'backend_ids'") __props__.__dict__["backend_ids"] = backend_ids __props__.__dict__["domain"] = domain if listener_id is None and not opts.urn: raise TypeError("Missing required property 'listener_id'") __props__.__dict__["listener_id"] = listener_id if load_balancer_id is None and not opts.urn: raise TypeError("Missing required property 'load_balancer_id'") __props__.__dict__["load_balancer_id"] = load_balancer_id __props__.__dict__["path"] = path super(LBRule, __self__).__init__( 'ucloud:ulb/lBRule:LBRule', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, backend_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, domain: Optional[pulumi.Input[str]] = None, listener_id: Optional[pulumi.Input[str]] = None, load_balancer_id: Optional[pulumi.Input[str]] = None, path: Optional[pulumi.Input[str]] = None) -> 'LBRule': """ Get an existing LBRule 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[Sequence[pulumi.Input[str]]] backend_ids: The IDs of the backend servers where rule applies, this argument is populated base on the `backend_id` responded from `lb_attachment` create. :param pulumi.Input[str] domain: The domain of content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. :param pulumi.Input[str] listener_id: The ID of a listener server. :param pulumi.Input[str] load_balancer_id: The ID of a load balancer. :param pulumi.Input[str] path: The path of Content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _LBRuleState.__new__(_LBRuleState) __props__.__dict__["backend_ids"] = backend_ids __props__.__dict__["domain"] = domain __props__.__dict__["listener_id"] = listener_id __props__.__dict__["load_balancer_id"] = load_balancer_id __props__.__dict__["path"] = path return LBRule(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="backendIds") def backend_ids(self) -> pulumi.Output[Sequence[str]]: """ The IDs of the backend servers where rule applies, this argument is populated base on the `backend_id` responded from `lb_attachment` create. """ return pulumi.get(self, "backend_ids") @property @pulumi.getter def domain(self) -> pulumi.Output[Optional[str]]: """ The domain of content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. """ return pulumi.get(self, "domain") @property @pulumi.getter(name="listenerId") def listener_id(self) -> pulumi.Output[str]: """ The ID of a listener server. """ return pulumi.get(self, "listener_id") @property @pulumi.getter(name="loadBalancerId") def load_balancer_id(self) -> pulumi.Output[str]: """ The ID of a load balancer. """ return pulumi.get(self, "load_balancer_id") @property @pulumi.getter def path(self) -> pulumi.Output[Optional[str]]: """ The path of Content forward matching fields. `path` and `domain` cannot coexist. `path` and `domain` must be filled in one. """ return pulumi.get(self, "path")

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Python

src/lexer/__init__.py

La-Tribu/cool-compiler-2021

abfbea9be2b278f3fb8182c7bc5072da15bb72dc

[ "MIT" ]

null

src/lexer/__init__.py

La-Tribu/cool-compiler-2021

abfbea9be2b278f3fb8182c7bc5072da15bb72dc

[ "MIT" ]

null

src/lexer/__init__.py

La-Tribu/cool-compiler-2021

abfbea9be2b278f3fb8182c7bc5072da15bb72dc

[ "MIT" ]

null

from .lexer import lexer from .lexer import errors_lexing

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Python

windc_data/windc_2_1/parse/sgf_table_sums.py

uw-windc/windc_datastream

8b6277acf943358a064f109a873852a82991ba3d

[ "MIT" ]

3

2019-11-07T05:15:18.000Z

2020-06-30T15:30:10.000Z

windc_data/windc_2_1/parse/sgf_table_sums.py

uw-windc/windc_datastream

8b6277acf943358a064f109a873852a82991ba3d

[ "MIT" ]

null

windc_data/windc_2_1/parse/sgf_table_sums.py

uw-windc/windc_datastream

8b6277acf943358a064f109a873852a82991ba3d

[ "MIT" ]

4

2019-11-07T05:15:29.000Z

2021-09-01T17:01:03.000Z

sums_new_methodology = { "Total revenue": { "A01", "A03", "A09", "A10", "A12", "A16", "A18", "A21", "A36", "A44", "A45", "A50", "A54", "A56", "A59", "A60", "A61", "A80", "A81", "A87", "A89", "A90", "A91", "A92", "A93", "A94", "B01", "B21", "B22", "B30", "B42", "B43", "B46", "B50", "B54", "B59", "B79", "B80", "B89", "B91", "B92", "B93", "B94", "D21", "D30", "D42", "D46", "D50", "D79", "D80", "D89", "D91", "D92", "D93", "D94", "T01", "T09", "T10", "T11", "T12", "T13", "T14", "T15", "T16", "T19", "T20", "T21", "T22", "T23", "T24", "T25", "T27", "T28", "T29", "T40", "T41", "T50", "T51", "T53", "T99", "U01", "U11", "U20", "U21", "U30", "U40", "U41", "U50", "U95", "U99", "X01", "X02", "X05", "X08", "Y01", "Y02", "Y04", "Y11", "Y12", "Y51", "Y52", }, "General revenue": { "A01", "A03", "A09", "A10", "A12", "A16", "A18", "A21", "A36", "A44", "A45", "A50", "A54", "A56", "A59", "A60", "A61", "A80", "A81", "A87", "A89", "B01", "B21", "B22", "B30", "B42", "B43", "B46", "B50", "B54", "B59", "B79", "B80", "B89", "B91", "B92", "B93", "B94", "D21", "D30", "D42", "D46", "D50", "D79", "D80", "D89", "D91", "D92", "D93", "D94", "T01", "T09", "T10", "T11", "T12", "T13", "T14", "T15", "T16", "T19", "T20", "T21", "T22", "T23", "T24", "T25", "T27", "T28", "T29", "T40", "T41", "T50", "T51", "T53", "T99", "U01", "U11", "U20", "U21", "U30", "U40", "U41", "U50", "U95", "U99", }, "Intergovernmental revenue": { "B01", "B21", "B22", "B30", "B42", "B43", "B46", "B50", "B54", "B59", "B79", "B80", "B89", "B91", "B92", "B93", "B94", "D21", "D30", "D42", "D46", "D50", "D79", "D80", "D89", "D91", "D92", "D93", "D94", }, "Taxes": { "T01", "T09", "T10", "T11", "T12", "T13", "T14", "T15", "T16", "T19", "T20", "T21", "T22", "T23", "T24", "T25", "T27", "T28", "T29", "T40", "T41", "T50", "T51", "T53", "T99", }, "General sales": {"T09"}, "Selective sales": {"T10", "T11", "T12", "T13", "T14", "T15", "T16", "T19"}, "License taxes": {"T20", "T21", "T22", "T23", "T24", "T25", "T27", "T28", "T29"}, "Individual income tax": {"T40"}, "Corporate income tax": {"T41"}, "Other taxes": {"T01", "T50", "T51", "T53", "T99"}, "Current charge": { "A01", "A03", "A09", "A10", "A12", "A16", "A18", "A21", "A36", "A44", "A45", "A50", "A54", "A56", "A59", "A60", "A61", "A80", "A81", "A87", "A89", }, "Miscellaneous general revenue": { "U01", "U11", "U20", "U21", "U30", "U40", "U41", "U50", "U95", "U99", }, "Utility revenue": {"A91", "A92", "A93", "A94"}, "Liquor stores revenue": {"A90"}, "Insurance trust revenue": { "X01", "X02", "X05", "X08", "Y01", "Y02", "Y04", "Y11", "Y12", "Y50", "Y51", "Y52", }, "Total expenditure": { "E01", "E03", "E04", "E05", "E12", "E16", "E18", "E21", "E22", "E23", "E25", "E26", "E27", "E29", "E31", "E32", "E36", "E44", "E45", "E50", "E52", "E54", "E55", "E56", "E59", "E60", "E61", "E62", "E66", "E74", "E75", "E77", "E79", "E80", "E81", "E85", "E87", "E89", "E90", "E91", "E92", "E93", "E94", "F01", "F03", "F04", "F05", "F12", "F16", "F18", "F21", "F22", "F23", "F25", "F26", "F27", "F29", "F31", "F32", "F36", "F44", "F45", "F50", "F52", "F54", "F55", "F56", "F59", "F60", "F61", "F62", "F66", "F77", "F79", "F80", "F81", "F85", "F87", "F89", "F90", "F91", "F92", "F93", "F94", "G01", "G03", "G04", "G05", "G12", "G16", "G18", "G21", "G22", "G23", "G25", "G26", "G27", "G29", "G31", "G32", "G36", "G44", "G45", "G50", "G52", "G54", "G55", "G56", "G59", "G60", "G61", "G62", "G66", "G77", "G79", "G80", "G81", "G85", "G87", "G89", "G90", "G91", "G92", "G93", "G94", "I89", "I91", "I92", "I93", "I94", "J19", "J67", "J68", "J85", "M01", "M04", "M05", "M12", "M18", "M21", "M23", "M25", "M27", "M29", "M30", "M32", "M36", "M44", "M50", "M52", "M54", "M55", "M56", "M59", "M60", "M61", "M62", "M66", "M67", "M68", "M79", "M80", "M81", "M87", "M89", "M91", "M92", "M93", "M94", "Q12", "Q18", "S67", "S89", "X11", "X12", "Y05", "Y06", "Y14", "Y53", }, "Intergovernmental expenditure": { "M01", "M04", "M05", "M12", "M18", "M21", "M23", "M25", "M27", "M29", "M30", "M32", "M36", "M44", "M50", "M52", "M54", "M55", "M56", "M59", "M60", "M61", "M62", "M66", "M67", "M68", "M79", "M80", "M81", "M87", "M89", "M91", "M92", "M93", "M94", "Q12", "Q18", "S67", "S89", }, "Direct expenditure": { "E01", "E03", "E04", "E05", "E12", "E16", "E18", "E21", "E22", "E23", "E25", "E26", "E27", "E29", "E31", "E32", "E36", "E44", "E45", "E50", "E52", "E54", "E55", "E56", "E59", "E60", "E61", "E62", "E66", "E74", "E75", "E77", "E79", "E80", "E81", "E85", "E87", "E89", "E90", "E91", "E92", "E93", "E94", "F01", "F03", "F04", "F05", "F12", "F16", "F18", "F21", "F22", "F23", "F25", "F26", "F27", "F29", "F31", "F32", "F36", "F44", "F45", "F50", "F52", "F54", "F55", "F56", "F59", "F60", "F61", "F62", "F66", "F77", "F79", "F80", "F81", "F85", "F87", "F89", "F90", "F91", "F92", "F93", "F94", "G01", "G03", "G04", "G05", "G12", "G16", "G18", "G21", "G22", "G23", "G25", "G26", "G27", "G29", "G31", "G32", "G36", "G44", "G45", "G50", "G52", "G54", "G55", "G56", "G59", "G60", "G61", "G62", "G66", "G77", "G79", "G80", "G81", "G85", "G87", "G89", "G90", "G91", "G92", "G93", "G94", "I89", "I91", "I92", "I93", "I94", "J19", "J67", "J68", "J85", "X11", "X12", "Y05", "Y06", "Y14", "Y53", }, "Current operation": { "E01", "E03", "E04", "E05", "E12", "E16", "E18", "E21", "E22", "E23", "E25", "E26", "E27", "E29", "E31", "E32", "E36", "E44", "E45", "E50", "E52", "E54", "E55", "E56", "E59", "E60", "E61", "E62", "E66", "E74", "E75", "E77", "E79", "E80", "E81", "E85", "E87", "E89", "E90", "E91", "E92", "E93", "E94", }, "Capital outlay": { "F01", "F03", "F04", "F05", "F12", "F16", "F18", "F21", "F22", "F23", "F25", "F26", "F27", "F29", "F31", "F32", "F36", "F44", "F45", "F50", "F52", "F54", "F55", "F56", "F59", "F60", "F61", "F62", "F66", "F77", "F79", "F80", "F81", "F85", "F87", "F89", "F90", "F91", "F92", "F93", "F94", "G01", "G03", "G04", "G05", "G12", "G16", "G18", "G21", "G22", "G23", "G25", "G26", "G27", "G29", "G31", "G32", "G36", "G44", "G45", "G50", "G52", "G54", "G55", "G56", "G59", "G60", "G61", "G62", "G66", "G77", "G79", "G80", "G81", "G85", "G87", "G89", "G90", "G91", "G92", "G93", "G94", }, "Insurance benefits and repayments": {"X11", "X12", "Y05", "Y06", "Y14", "Y53",}, "Assistance and subsidies": {"J19", "J67", "J68", "J85"}, "Interest on debt": {"I89", "I91", "I92", "I93", "I94"}, "Exhibit: Salaries and wages": {"Z00"}, "General expenditure": { "E01", "E03", "E04", "E05", "E12", "E16", "E18", "E21", "E22", "E23", "E25", "E26", "E27", "E29", "E31", "E32", "E36", "E44", "E45", "E50", "E52", "E54", "E55", "E56", "E59", "E60", "E61", "E62", "E66", "E74", "E75", "E77", "E79", "E80", "E81", "E85", "E87", "E89", "F01", "F03", "F04", "F05", "F12", "F16", "F18", "F21", "F22", "F23", "F25", "F26", "F27", "F29", "F31", "F32", "F36", "F44", "F45", "F50", "F52", "F54", "F55", "F56", "F59", "F60", "F61", "F62", "F66", "F77", "F79", "F80", "F81", "F85", "F87", "F89", "G01", "G03", "G04", "G05", "G12", "G16", "G18", "G21", "G22", "G23", "G25", "G26", "G27", "G29", "G31", "G32", "G36", "G44", "G45", "G50", "G52", "G54", "G55", "G56", "G59", "G60", "G61", "G62", "G66", "G77", "G79", "G80", "G81", "G85", "G87", "G89", "I89", "J19", "J67", "J68", "J85", "M01", "M04", "M05", "M12", "M18", "M21", "M23", "M25", "M27", "M29", "M30", "M32", "M36", "M44", "M50", "M52", "M54", "M55", "M56", "M59", "M60", "M61", "M62", "M66", "M67", "M68", "M79", "M80", "M81", "M87", "M89", "M91", "M92", "M93", "M94", "Q12", "Q18", "S67", "S89", }, "Direct general expenditure": { "E01", "E03", "E04", "E05", "E12", "E16", "E18", "E21", "E22", "E23", "E25", "E26", "E27", "E29", "E31", "E32", "E36", "E44", "E45", "E50", "E52", "E54", "E55", "E56", "E59", "E60", "E61", "E62", "E66", "E74", "E75", "E77", "E79", "E80", "E81", "E85", "E87", "E89", "F01", "F03", "F04", "F05", "F12", "F16", "F18", "F21", "F22", "F23", "F25", "F26", "F27", "F29", "F31", "F32", "F36", "F44", "F45", "F50", "F52", "F54", "F55", "F56", "F59", "F60", "F61", "F62", "F66", "F77", "F79", "F80", "F81", "F85", "F87", "F89", "G01", "G03", "G04", "G05", "G12", "G16", "G18", "G21", "G22", "G23", "G25", "G26", "G27", "G29", "G31", "G32", "G36", "G44", "G45", "G50", "G52", "G54", "G55", "G56", "G59", "G60", "G61", "G62", "G66", "G77", "G79", "G80", "G81", "G85", "G87", "G89", "I89", "J19", "J67", "J68", "J85", }, "Education": { "E12", "E16", "E18", "E21", "F12", "F16", "F18", "F21", "G12", "G16", "G18", "G21", "J19", "M12", "M18", "M21", "Q12", "Q18", }, "Public welfare": { "E74", "E75", "E77", "E79", "F77", "F79", "G77", "G79", "J67", "J68", "M67", "M68", "M79", "S67", }, "Hospitals": {"E36", "F36", "G36", "M36"}, "Health": {"E32", "F32", "G32", "M32"}, "Highways": {"E44", "M44", "F44", "G44", "E45", "F45", "G45"}, "Police protection": {"E62", "F62", "G62", "M62"}, "Correction": {"E04", "E05", "F04", "F05", "G04", "G05", "M04", "M05",}, "Natural resources": { "E54", "E55", "E56", "E59", "F54", "F55", "F56", "F59", "G54", "G55", "G56", "G59", "M54", "M55", "M56", "M59", }, "Parks and recreation": {"E61", "F61", "G61", "M61"}, "Governmental administration": { "E23", "E25", "E26", "E29", "E31", "F23", "F25", "F26", "F29", "F31", "G23", "G25", "G26", "G29", "G31", "M23", "M25", "M29", }, "Interest on general debt": {"I89"}, "Other and unallocable": { "E01", "E03", "E22", "E50", "E52", "E60", "E66", "E80", "E81", "E85", "E87", "E89", "F01", "F03", "F22", "F50", "F52", "F60", "F66", "F80", "F81", "F85", "F87", "F89", "G01", "G03", "G22", "G50", "G52", "G60", "G66", "G80", "G81", "G85", "G87", "G89", "M01", "M50", "M52", "M60", "M66", "M80", "M81", "M87", "M89", "S89", }, "Utility expenditure": { "E91", "E92", "E93", "E94", "F91", "F92", "F93", "F94", "G91", "G92", "G93", "G94", "I91", "I92", "I93", "I94", "M91", "M92", "M93", "M94", }, "Liquor stores expenditure": {"E90", "F90", "G90"}, "Insurance trust expenditure": {"X11", "X12", "Y05", "Y06", "Y14", "Y53",}, "Debt at end of fiscal year": {"64V", "44T", "49U"}, "Cash and security holdings": { "W01", "W31", "W61", "X21", "X30", "X42", "X44", "X47", "Y07", "Y08", "Y21", "Y61", "Z77", "Z78", }, } # sums_1992_2004 = { # "Total revenue": { # "T01", # "T08", # "T09", # "T10", # "T11", # "T12", # "T13", # "T14", # "T15", # "T16", # "T19", # "T20", # "T21", # "T22", # "T23", # "T24", # "T25", # "T27", # "T28", # "T29", # "T40", # "T41", # "T50", # "T51", # "T53", # "T99", # "A01", # "A03", # "A06", # "A09", # "A10", # "A12", # "A14", # "A16", # "A18", # "A21", # "A36", # "A44", # "A45", # "A50", # "A54", # "A56", # "A59", # "A60", # "A61", # "A80", # "A81", # "A87", # "A89", # "U01", # "U10", # "U11", # "U20", # "U30", # "U40", # "U41", # "U50", # "U95", # "U99", # "B01", # "B21", # "B22", # "B27", # "B30", # "B42", # "B46", # "B47", # "B50", # "B54", # "B59", # "B79", # "B80", # "B89", # "B91", # "B92", # "B93", # "B94", # "C21", # "C28", # "C30", # "C42", # "C46", # "C47", # "C50", # "C67", # "C79", # "C80", # "C89", # "C91", # "C92", # "C93", # "C94", # "D11", # "D21", # "D30", # "D42", # "D46", # "D47", # "D50", # "D79", # "D80", # "D89", # "D91", # "D92", # "D93", # "D94", # "A91", # "A92", # "A93", # "A94", # "A90", # "X01", # "X02", # "X05", # "X08", # "X09", # "X03", # "Y01", # "Y02", # "Y03", # "Y04", # "Y11", # "Y12", # "Y13", # "Y51", # "Y52", # "Y20", # "Y31", # "Y41", # "Y55", # }, # "General revenue": { # "T01", # "T08", # "T09", # "T10", # "T11", # "T12", # "T13", # "T14", # "T15", # "T16", # "T19", # "T20", # "T21", # "T22", # "T23", # "T24", # "T25", # "T27", # "T28", # "T29", # "T40", # "T41", # "T50", # "T51", # "T53", # "T99", # "A01", # "A03", # "A06", # "A09", # "A10", # "A12", # "A14", # "A16", # "A18", # "A21", # "A36", # "A44", # "A45", # "A50", # "A54", # "A56", # "A59", # "A60", # "A61", # "A80", # "A81", # "A87", # "A89", # "U01", # "U10", # "U11", # "U20", # "U30", # "U40", # "U41", # "U50", # "U95", # "U99", # "B01", # "B21", # "B22", # "B27", # "B30", # "B42", # "B46", # "B47", # "B50", # "B54", # "B59", # "B79", # "B80", # "B89", # "B91", # "B92", # "B93", # "B94", # "C21", # "C28", # "C30", # "C42", # "C46", # "C47", # "C50", # "C67", # "C79", # "C80", # "C89", # "C91", # "C92", # "C93", # "C94", # "D11", # "D21", # "D30", # "D42", # "D46", # "D47", # "D50", # "D79", # "D80", # "D89", # "D91", # "D92", # "D93", # "D94", # }, # "Intergovernmental revenue": { # "B01", # "B21", # "B22", # "B27", # "B30", # "B42", # "B46", # "B47", # "B50", # "B54", # "B59", # "B79", # "B80", # "B89", # "B91", # "B92", # "B93", # "B94", # "C21", # "C28", # "C30", # "C42", # "C46", # "C47", # "C50", # "C67", # "C79", # "C80", # "C89", # "C91", # "C92", # "C93", # "C94", # "D11", # "D21", # "D30", # "D42", # "D46", # "D47", # "D50", # "D79", # "D80", # "D89", # "D91", # "D92", # "D93", # "D94", # }, # "Taxes": { # "T01", # "T08", # "T09", # "T10", # "T11", # "T12", # "T13", # "T14", # "T15", # "T16", # "T19", # "T20", # "T21", # "T22", # "T23", # "T24", # "T25", # "T27", # "T28", # "T29", # "T40", # "T41", # "T50", # "T51", # "T53", # "T99", # }, # "General sales": {"T09",}, # "Selective sales": {"T10", "T11", "T12", "T13", "T14", "T15", "T16", "T19"}, # "License taxes": {"T20", "T21", "T22", "T23", "T24", "T25", "T27", "T28", "T29",}, # "Individual income tax": {"T40"}, # "Corporate income tax": {"T41"}, # "Other taxes": {"T01", "T50", "T51", "T53", "T99"}, # "Current charge": { # "A01", # "A03", # "A06", # "A09", # "A10", # "A12", # "A14", # "A16", # "A18", # "A21", # "A36", # "A44", # "A45", # "A50", # "A54", # "A56", # "A59", # "A60", # "A61", # "A80", # "A81", # "A87", # "A89", # }, # "Miscellaneous general revenue": { # "U01", # "U10", # "U11", # "U20", # "U30", # "U40", # "U41", # "U50", # "U95", # "U99", # }, # "Utility revenue": {"A91", "A92", "A93", "A94"}, # "Liquor stores revenue": {"A90"}, # "Insurance trust revenue": { # "X01", # "X02", # "X05", # "X08", # "Y01", # "Y02", # "Y04", # "Y10", # "Y11", # "Y12", # "Y50", # "Y51", # "Y52", # }, # "Total expenditure": { # "E01", # "F01", # "G01", # "I01", # "L01", # "M01", # "N01", # "O01", # "P01", # "R01", # "E02", # "F02", # "G02", # "I02", # "L02", # "M02", # "E03", # "F03", # "G03", # "E04", # "F04", # "G04", # "I04", # "L04", # "M04", # "E05", # "F05", # "G05", # "L05", # "M05", # "N05", # "O05", # "P05", # "S05", # "E06", # "F06", # "G06", # "I06", # "L06", # "M06", # "E12", # "F12", # "G12", # "L12", # "M12", # "N12", # "O12", # "P12", # "Q12", # "R12", # "E14", # "F14", # "G14", # "I14", # "E16", # "F16", # "G16", # "E18", # "F18", # "G18", # "L18", # "M18", # "N18", # "O18", # "P18", # "Q18", # "R18", # "E19", # "E20", # "F20", # "G20", # "I20", # "L20", # "M20", # "E21", # "F21", # "G21", # "I21", # "L21", # "M21", # "N21", # "O21", # "P21", # "Q21", # "S21", # "E22", # "F22", # "G22", # "I22", # "L22", # "M22", # "E23", # "F23", # "G23", # "I23", # "L23", # "M23", # "N23", # "O23", # "P23", # "E24", # "F24", # "G24", # "L24", # "M24", # "N24", # "O24", # "P24", # "R24", # "E25", # "F25", # "G25", # "I25", # "L25", # "M25", # "N25", # "O25", # "P25", # "S25", # "E26", # "F26", # "G26", # "E28", # "F28", # "G28", # "I28", # "L28", # "M28", # "E29", # "F29", # "G29", # "I29", # "L29", # "M29", # "N29", # "O29", # "P29", # "M30", # "N30", # "O30", # "P30", # "R30", # "E31", # "F31", # "G31", # "E32", # "F32", # "G32", # "I32", # "L32", # "M32", # "N32", # "O32", # "P32", # "R32", # "E36", # "F36", # "G36", # "E37", # "F37", # "G37", # "I37", # "L37", # "M37", # "E38", # "F38", # "G38", # "I38", # "L38", # "M38", # "N38", # "O38", # "P38", # "R38", # "E39", # "F39", # "G39", # "I39", # "L39", # "M39", # "E44", # "F44", # "G44", # "I44", # "L44", # "M44", # "N44", # "O44", # "P44", # "R44", # "E45", # "F45", # "G45", # "E47", # "I47", # "L47", # "M47", # "N47", # "O47", # "P47", # "R47", # "E50", # "F50", # "G50", # "I50", # "L50", # "M50", # "N50", # "O50", # "P50", # "R50", # "E51", # "I51", # "L51", # "M51", # "E52", # "F52", # "G52", # "I52", # "L52", # "M52", # "N52", # "O52", # "P52", # "R52", # "E53", # "F53", # "G53", # "I53", # "L53", # "M53", # "E54", # "F54", # "G54", # "I54", # "L54", # "M54", # "N54", # "O54", # "P54", # "R54", # "E55", # "F55", # "G55", # "M55", # "N55", # "O55", # "P55", # "R55", # "E56", # "F56", # "G56", # "I56", # "L56", # "M56", # "N56", # "O56", # "P56", # "R56", # "E57", # "F57", # "G57", # "I57", # "L57", # "M57", # "E58", # "F58", # "G58", # "I58", # "L58", # "M58", # "E59", # "F59", # "G59", # "I59", # "L59", # "M59", # "N59", # "O59", # "P59", # "R59", # "S59", # "E60", # "F60", # "G60", # "I60", # "L60", # "M60", # "N60", # "O60", # "P60", # "R60", # "E61", # "F61", # "G61", # "I61", # "L61", # "M61", # "N61", # "O61", # "P61", # "R61", # "E62", # "F62", # "G62", # "I62", # "L62", # "M62", # "N62", # "O62", # "P62", # "R62", # "E66", # "F66", # "G66", # "I66", # "L66", # "M66", # "N66", # "O66", # "P66", # "R66", # "E67", # "I67", # "L67", # "M67", # "N67", # "O67", # "P67", # "S67", # "E68", # "I68", # "M68", # "N68", # "O68", # "P68", # "E74", # "E75", # "E77", # "F77", # "G77", # "E79", # "G79", # "F79", # "I79", # "L79", # "M79", # "N79", # "O79", # "P79", # "R79", # "E80", # "F80", # "G80", # "I80", # "L80", # "M80", # "N80", # "O80", # "P80", # "R80", # "E81", # "F81", # "G81", # "I81", # "L81", # "M81", # "N81", # "O81", # "P81", # "R81", # "E84", # "E85", # "F85", # "G85", # "I85", # "E87", # "F87", # "G87", # "I87", # "L87", # "M87", # "N87", # "O87", # "P87", # "R87", # "E89", # "F89", # "G89", # "I89", # "J89", # "L89", # "M89", # "N89", # "O89", # "P89", # "R89", # "S89", # "E90", # "F90", # "G90", # "E91", # "F91", # "G91", # "I91", # "E92", # "F92", # "G92", # "I92", # "E93", # "F93", # "G93", # "I93", # "E94", # "F94", # "G94", # "I94", # "L91", # "L92", # "L93", # "L94", # "M91", # "M92", # "M93", # "M94", # "N91", # "N92", # "N93", # "N94", # "R91", # "R92", # "R93", # "R94", # "X11", # "X12", # "Y05", # "Y06", # "Y14", # "Y53", # "Y25", # "Y34", # "Y45", # }, # "Intergovernmental expenditure": { # "L01", # "M01", # "N01", # "O01", # "P01", # "R01", # "L02", # "M02", # "L04", # "M04", # "L05", # "M05", # "N05", # "O05", # "P05", # "S05", # "L06", # "M06", # "L12", # "M12", # "N12", # "O12", # "P12", # "Q12", # "R12", # "L18", # "M18", # "N18", # "O18", # "P18", # "Q18", # "R18", # "L20", # "M20", # "L21", # "M21", # "N21", # "O21", # "P21", # "Q21", # "S21", # "L22", # "M22", # "L23", # "M23", # "N23", # "O23", # "P23", # "L24", # "M24", # "N24", # "O24", # "P24", # "R24", # "L25", # "M25", # "N25", # "O25", # "P25", # "S25", # "L28", # "M28", # "L29", # "M29", # "N29", # "O29", # "P29", # "M30", # "N30", # "O30", # "P30", # "R30", # "L32", # "M32", # "N32", # "O32", # "P32", # "R32", # "L37", # "M37", # "L38", # "M38", # "N38", # "O38", # "P38", # "R38", # "L39", # "M39", # "L44", # "M44", # "N44", # "O44", # "P44", # "R44", # "L47", # "M47", # "N47", # "O47", # "P47", # "R47", # "L50", # "M50", # "N50", # "O50", # "P50", # "R50", # "L51", # "M51", # "L52", # "M52", # "N52", # "O52", # "P52", # "R52", # "L53", # "M53", # "L54", # "M54", # "N54", # "O54", # "P54", # "R54", # "M55", # "N55", # "O55", # "P55", # "R55", # "L56", # "M56", # "N56", # "O56", # "P56", # "R56", # "L57", # "M57", # "L58", # "M58", # "L59", # "M59", # "N59", # "O59", # "P59", # "R59", # "S59", # "L60", # "M60", # "N60", # "O60", # "P60", # "R60", # "L61", # "M61", # "N61", # "O61", # "P61", # "R61", # "L62", # "M62", # "N62", # "O62", # "P62", # "R62", # "L66", # "M66", # "N66", # "O66", # "P66", # "R66", # "L67", # "M67", # "N67", # "O67", # "P67", # "S67", # "M68", # "N68", # "O68", # "P68", # "L79", # "M79", # "N79", # "O79", # "P79", # "R79", # "L80", # "M80", # "N80", # "O80", # "P80", # "R80", # "L81", # "M81", # "N81", # "O81", # "P81", # "R81", # "L87", # "M87", # "N87", # "O87", # "P87", # "R87", # "L89", # "M89", # "N89", # "O89", # "P89", # "R89", # "S89", # "L91", # "L92", # "L93", # "L94", # "M91", # "M92", # "M93", # "M94", # "N91", # "N92", # "N93", # "N94", # "R91", # "R92", # "R93", # "R94", # }, # "Direct expenditure": { # "E01", # "G01", # "F01", # "I01", # "I02", # "E02", # "G02", # "F02", # "E03", # "F03", # "G03", # "E04", # "F04", # "G04", # "I04", # "E05", # "F05", # "G05", # "E06", # "F06", # "G06", # "I06", # "E12", # "F12", # "G12", # "E14", # "F14", # "G14", # "I14", # "E16", # "F16", # "G16", # "E18", # "F18", # "G18", # "E19", # "E20", # "F20", # "G20", # "I20", # "E21", # "F21", # "G21", # "I21", # "E22", # "F22", # "G22", # "I22", # "E23", # "F23", # "G23", # "I23", # "E24", # "F24", # "G24", # "E25", # "F25", # "G25", # "I25", # "E26", # "F26", # "G26", # "E28", # "F28", # "G28", # "I28", # "E29", # "F29", # "G29", # "I29", # "E31", # "F31", # "G31", # "E32", # "F32", # "G32", # "I32", # "E36", # "F36", # "G36", # "E37", # "F37", # "G37", # "I37", # "E38", # "F38", # "G38", # "I38", # "E39", # "F39", # "G39", # "I39", # "E44", # "F44", # "G44", # "I44", # "E45", # "F45", # "G45", # "E47", # "I47", # "E50", # "F50", # "G50", # "I50", # "E51", # "I51", # "E52", # "F52", # "G52", # "I52", # "E53", # "F53", # "G53", # "I53", # "E54", # "F54", # "G54", # "I54", # "E55", # "F55", # "G55", # "E56", # "F56", # "G56", # "I56", # "E57", # "F57", # "G57", # "I57", # "E58", # "F58", # "G58", # "I58", # "E59", # "F59", # "G59", # "I59", # "E60", # "F60", # "G60", # "I60", # "E61", # "F61", # "G61", # "I61", # "E62", # "F62", # "G62", # "I62", # "E66", # "F66", # "G66", # "I66", # "E67", # "I67", # "E68", # "I68", # "E74", # "E75", # "E77", # "F77", # "G77", # "E79", # "F79", # "G79", # "I79", # "E80", # "F80", # "G80", # "I80", # "E81", # "F81", # "G81", # "I81", # "E84", # "E85", # "F85", # "G85", # "I85", # "E87", # "F87", # "G87", # "I87", # "E89", # "F89", # "G89", # "I89", # "J89", # "E90", # "F90", # "G90", # "E91", # "F91", # "G91", # "I91", # "E92", # "F92", # "G92", # "I92", # "E93", # "F93", # "G93", # "I93", # "E94", # "F94", # "G94", # "I94", # "X11", # "X12", # "Y05", # "Y06", # "Y14", # "Y53", # "Y25", # "Y34", # "Y45", # }, # "Current operation": { # "E01", # "E03", # "E04", # "E05", # "E12", # "E16", # "E18", # "E21", # "E22", # "E23", # "E25", # "E26", # "E27", # "E29", # "E31", # "E32", # "E36", # "E44", # "E45", # "E50", # "E52", # "E54", # "E55", # "E56", # "E59", # "E60", # "E61", # "E62", # "E66", # "E73", # "E74", # "E75", # "E77", # "E79", # "E80", # "E81", # "E85", # "E87", # "E89", # "E90", # "E91", # "E92", # "E93", # "E94", # }, # "Capital outlay": { # "F01", # "F03", # "F04", # "F05", # "F12", # "F16", # "F18", # "F21", # "F22", # "F23", # "F25", # "F26", # "F27", # "F29", # "F31", # "F32", # "F36", # "F44", # "F45", # "F50", # "F52", # "F54", # "F55", # "F56", # "F59", # "F60", # "F61", # "F62", # "F66", # "F77", # "F79", # "F80", # "F81", # "F85", # "F87", # "F89", # "F90", # "F91", # "F92", # "F93", # "F94", # "G01", # "G03", # "G04", # "G05", # "G12", # "G16", # "G18", # "G21", # "G22", # "G23", # "G24", # "G25", # "G26", # "G27", # "G29", # "G31", # "G32", # "G36", # "G44", # "G45", # "G50", # "G52", # "G54", # "G55", # "G56", # "G59", # "G60", # "G61", # "G62", # "G66", # "G77", # "G79", # "G80", # "G81", # "G85", # "G87", # "G89", # "G90", # "G91", # "G92", # "G93", # "G94", # }, # "Insurance benefits and repayments": { # "X11", # "X12", # "Y05", # "Y06", # "Y14", # "Y15", # "Y53", # "Y54", # }, # "Assistance and subsidies": { # "I01", # "I02", # "I04", # "I06", # "I14", # "E19", # "I20", # "I21", # "I22", # "I23", # "I25", # "I28", # "I29", # "I32", # "I37", # "I38", # "I39", # "I44", # "I47", # "I50", # "I51", # "I52", # "I53", # "I54", # "I56", # "I57", # "I58", # "I59", # "I60", # "I61", # "I62", # "I66", # "E67", # "I67", # "E68", # "I68", # "I79", # "I80", # "I81", # "E84", # "I85", # "I87", # "J89", # }, # "Interest on debt": {"I89", "I91", "I92", "I93", "I94"}, # "Exhibit: Salaries and wages": {"Z00"}, # "General expenditure": { # "E01", # "F01", # "G01", # "I01", # "L01", # "M01", # "N01", # "O01", # "P01", # "R01", # "E02", # "F02", # "G02", # "I02", # "L02", # "M02", # "E03", # "F03", # "G03", # "E04", # "F04", # "G04", # "I04", # "L04", # "M04", # "E05", # "F05", # "G05", # "L05", # "M05", # "N05", # "O05", # "P05", # "S05", # "E06", # "F06", # "G06", # "I06", # "L06", # "M06", # "E12", # "F12", # "G12", # "L12", # "M12", # "N12", # "O12", # "P12", # "Q12", # "R12", # "E14", # "F14", # "G14", # "I14", # "E16", # "F16", # "G16", # "E18", # "F18", # "G18", # "L18", # "M18", # "N18", # "O18", # "P18", # "Q18", # "R18", # "E19", # "E20", # "F20", # "G20", # "I20", # "L20", # "M20", # "E21", # "F21", # "G21", # "I21", # "L21", # "M21", # "N21", # "O21", # "P21", # "Q21", # "S21", # "E22", # "F22", # "G22", # "I22", # "L22", # "M22", # "E23", # "F23", # "G23", # "I23", # "L23", # "M23", # "N23", # "O23", # "P23", # "E24", # "F24", # "G24", # "L24", # "M24", # "N24", # "O24", # "P24", # "R24", # "E25", # "F25", # "G25", # "I25", # "L25", # "M25", # "N25", # "O25", # "P25", # "S25", # "E26", # "F26", # "G26", # "E28", # "F28", # "G28", # "I28", # "L28", # "M28", # "E29", # "F29", # "G29", # "I29", # "L29", # "M29", # "N29", # "O29", # "P29", # "M30", # "N30", # "O30", # "P30", # "R30", # "E31", # "F31", # "G31", # "E32", # "F32", # "G32", # "I32", # "L32", # "M32", # "N32", # "O32", # "P32", # "R32", # "E36", # "F36", # "G36", # "E37", # "F37", # "G37", # "I37", # "L37", # "M37", # "E38", # "F38", # "G38", # "I38", # "L38", # "M38", # "N38", # "O38", # "P38", # "R38", # "E39", # "F39", # "G39", # "I39", # "L39", # "M39", # "E44", # "F44", # "G44", # "I44", # "L44", # "M44", # "N44", # "O44", # "P44", # "R44", # "E45", # "F45", # "G45", # "E47", # "I47", # "L47", # "M47", # "N47", # "O47", # "P47", # "R47", # "E50", # "F50", # "G50", # "I50", # "L50", # "M50", # "N50", # "O50", # "P50", # "R50", # "E51", # "I51", # "L51", # "M51", # "E52", # "F52", # "G52", # "I52", # "L52", # "M52", # "N52", # "O52", # "P52", # "R52", # "E53", # "F53", # "G53", # "I53", # "L53", # "M53", # "E54", # "F54", # "G54", # "I54", # "L54", # "M54", # "N54", # "O54", # "P54", # "R54", # "E55", # "F55", # "G55", # "M55", # "N55", # "O55", # "P55", # "R55", # "E56", # "F56", # "G56", # "I56", # "L56", # "M56", # "N56", # "O56", # "P56", # "R56", # "E57", # "F57", # "G57", # "I57", # "L57", # "M57", # "E58", # "F58", # "G58", # "I58", # "L58", # "M58", # "E59", # "F59", # "G59", # "I59", # "L59", # "M59", # "N59", # "O59", # "P59", # "R59", # "S59", # "E60", # "F60", # "G60", # "I60", # "L60", # "M60", # "N60", # "O60", # "P60", # "R60", # "E61", # "F61", # "G61", # "I61", # "L61", # "M61", # "N61", # "O61", # "P61", # "R61", # "E62", # "F62", # "G62", # "I62", # "L62", # "M62", # "N62", # "O62", # "P62", # "R62", # "E66", # "F66", # "G66", # "I66", # "L66", # "M66", # "N66", # "O66", # "P66", # "R66", # "E67", # "I67", # "L67", # "M67", # "N67", # "O67", # "P67", # "S67", # "E68", # "I68", # "M68", # "N68", # "O68", # "P68", # "E74", # "E75", # "E77", # "F77", # "G77", # "E79", # "F79", # "G79", # "I79", # "L79", # "M79", # "N79", # "O79", # "P79", # "R79", # "E80", # "F80", # "G80", # "I80", # "L80", # "M80", # "N80", # "O80", # "P80", # "R80", # "E81", # "F81", # "G81", # "I81", # "L81", # "M81", # "N81", # "O81", # "P81", # "R81", # "E84", # "E85", # "F85", # "G85", # "I85", # "E87", # "F87", # "G87", # "I87", # "L87", # "M87", # "N87", # "O87", # "P87", # "R87", # "E89", # "F89", # "G89", # "I89", # "J89", # "L89", # "M89", # "N89", # "O89", # "P89", # "R89", # "S89", # "L91", # "M91", # "N91", # "R91", # "L92", # "M92", # "N92", # "R92", # "L93", # "M93", # "N93", # "R93", # "L94", # "M94", # "N94", # "R94", # }, # "Direct general expenditure": { # "E01", # "G01", # "F01", # "I01", # "I02", # "E02", # "G02", # "F02", # "E03", # "F03", # "G03", # "E04", # "F04", # "G04", # "I04", # "E05", # "F05", # "G05", # "E06", # "F06", # "G06", # "I06", # "E12", # "F12", # "G12", # "E14", # "F14", # "G14", # "I14", # "E16", # "F16", # "G16", # "E18", # "F18", # "G18", # "E19", # "E20", # "F20", # "G20", # "I20", # "E21", # "F21", # "G21", # "I21", # "E22", # "F22", # "G22", # "I22", # "E23", # "F23", # "G23", # "I23", # "E24", # "F24", # "G24", # "E25", # "F25", # "G25", # "I25", # "E26", # "F26", # "G26", # "E28", # "F28", # "G28", # "I28", # "E29", # "F29", # "G29", # "I29", # "E31", # "F31", # "G31", # "E32", # "F32", # "G32", # "I32", # "E36", # "F36", # "G36", # "E37", # "F37", # "G37", # "I37", # "E38", # "F38", # "G38", # "I38", # "E39", # "F39", # "G39", # "I39", # "E44", # "F44", # "G44", # "I44", # "E45", # "F45", # "G45", # "E47", # "I47", # "E50", # "F50", # "G50", # "I50", # "E51", # "I51", # "E52", # "F52", # "G52", # "I52", # "E53", # "F53", # "G53", # "I53", # "E54", # "F54", # "G54", # "I54", # "E55", # "F55", # "G55", # "E56", # "F56", # "G56", # "I56", # "E57", # "F57", # "G57", # "I57", # "E58", # "F58", # "G58", # "I58", # "E59", # "F59", # "G59", # "I59", # "E60", # "F60", # "G60", # "I60", # "E61", # "F61", # "G61", # "I61", # "E62", # "F62", # "G62", # "I62", # "E66", # "F66", # "G66", # "I66", # "E67", # "I67", # "E68", # "I68", # "E74", # "E75", # "E77", # "F77", # "G77", # "E79", # "F79", # "G79", # "I79", # "E80", # "F80", # "G80", # "I80", # "E81", # "F81", # "G81", # "I81", # "E84", # "E85", # "F85", # "G85", # "I85", # "E87", # "F87", # "G87", # "I87", # "E89", # "F89", # "G89", # "I89", # "J89", # }, # "Education": { # "E12", # "F12", # "G12", # "L12", # "M12", # "N12", # "O12", # "P12", # "Q12", # "R12", # "E16", # "F16", # "G16", # "E18", # "F18", # "G18", # "L18", # "M18", # "N18", # "O18", # "P18", # "Q18", # "R18", # "E19", # "E20", # "F20", # "G20", # "I20", # "L20", # "M20", # "E21", # "F21", # "G21", # "I21", # "L21", # "M21", # "N21", # "O21", # "P21", # "Q21", # "S21", # }, # "Public welfare": { # "E67", # "I67", # "L67", # "M67", # "N67", # "O67", # "P67", # "S67", # "E68", # "I68", # "M68", # "N68", # "O68", # "P68", # "E74", # "E75", # "E77", # "F77", # "G77", # "E79", # "F79", # "G79", # "I79", # "L79", # "M79", # "N79", # "O79", # "P79", # "R79", # }, # "Hospitals": { # "E36", # "F36", # "G36", # "E37", # "F37", # "G37", # "I37", # "L37", # "M37", # "E39", # "F39", # "G39", # "I39", # "L39", # "M39", # "E38", # "F38", # "G38", # "I38", # "L38", # "M38", # "N38", # "O38", # "P38", # "R38", # }, # "Health": {"E32", "F32", "G32", "I32", "L32", "M32", "N32", "O32", "P32", "R32",}, # "Highways": { # "E44", # "F44", # "G44", # "I44", # "L44", # "M44", # "N44", # "O44", # "P44", # "R44", # "E45", # "F45", # "G45", # }, # "Police protection": { # "E62", # "F62", # "G62", # "I62", # "L62", # "M62", # "N62", # "O62", # "P62", # "R62", # }, # "Correction": { # "E04", # "F04", # "G04", # "I04", # "L04", # "M04", # "E05", # "F05", # "G05", # "L05", # "M05", # "N05", # "O05", # "P05", # "S05", # }, # "Natural resources": { # "E51", # "I51", # "L51", # "M51", # "E53", # "F53", # "G53", # "I53", # "L53", # "M53", # "E54", # "F54", # "G54", # "I54", # "L54", # "M54", # "N54", # "O54", # "P54", # "R54", # "E55", # "F55", # "G55", # "M55", # "N55", # "O55", # "P55", # "R55", # "E56", # "F56", # "G56", # "I56", # "L56", # "M56", # "N56", # "O56", # "P56", # "R56", # "E57", # "F57", # "G57", # "I57", # "L57", # "M57", # "E58", # "F58", # "G58", # "I58", # "L58", # "M58", # "E59", # "F59", # "G59", # "I59", # "L59", # "M59", # "N59", # "O59", # "P59", # "R59", # "S59", # }, # "Parks and recreation": { # "E61", # "F61", # "G61", # "I61", # "L61", # "M61", # "N61", # "O61", # "P61", # "R61", # }, # "Governmental administration": { # "E23", # "F23", # "G23", # "M23", # "E25", # "F25", # "G25", # "M25", # "E26", # "F26", # "G26", # "E29", # "M29", # "F29", # "G29", # "E31", # "F31", # "G31", # }, # "Interest on general debt": {"I89", "I91", "I92", "I93", "I94"}, # # "Other and unallocable": {"A61", "B46", "E77", "G45", "T21", "T28", "U41"}, # "Other and unallocable": { # "E01", # "F01", # "G01", # "M01", # "E03", # "F03", # "G03", # "E22", # "F22", # "G22", # "M30", # "E50", # "F50", # "G50", # "M50", # "E52", # "F52", # "G52", # "M52", # "E66", # "F66", # "G66", # "M66", # "E80", # "F80", # "G80", # "M80", # "E81", # "F81", # "G81", # "M81", # "E85", # "F85", # "G85", # "J85", # "E87", # "F87", # "G87", # "M87", # "E89", # "F89", # "G89", # "M89", # "S89", # "M91", # "M92", # "M93", # "M94", # }, # "Utility expenditure": { # "E91", # "F91", # "G91", # "I91", # "E92", # "F92", # "G92", # "I92", # "E93", # "F93", # "G93", # "I93", # "E94", # "F94", # "G94", # "I94", # }, # "Liquor stores expenditure": {"E90", "F90", "G90"}, # "Insurance trust expenditure": { # "X11", # "X12", # "Y05", # "Y06", # "Y14", # "Y15", # "Y53", # "Y54", # }, # "Debt at end of fiscal year": { # "41A", # "41B", # "41C", # "41D", # "41E", # "41F", # "41G", # "41H", # "41J", # "41K", # "41M", # "41N", # "41P", # "41S", # "41X", # "41V", # "41Y", # "42A", # "42B", # "42C", # "42D", # "42E", # "42F", # "42G", # "42H", # "42J", # "42K", # "42L", # "42M", # "42N", # "42P", # "42R", # "42S", # "42X", # "43A", # "43B", # "43C", # "43D", # "43E", # "43F", # "43G", # "43H", # "43J", # "43K", # "43L", # "43M", # "43N", # "43P", # "43R", # "43S", # "43X", # "44A", # "44B", # "44C", # "44D", # "44E", # "44F", # "44G", # "44H", # "44J", # "44K", # "44L", # "44M", # "44N", # "44P", # "44R", # "44S", # "44T", # "44W", # "44X", # }, # "Cash and security holdings": { # "W01", # "W31", # "W61", # "W24", # "W54", # "W84", # "W10", # "W40", # "W70", # "W15", # "W45", # "W75", # "W13", # "W43", # "W73", # "Y44", # "Y84", # "Y61", # "Y70", # "Y73", # "Y75", # "Y07", # "Y08", # "Y21", # "Y30", # "Y33", # "Y35", # "X21", # "X30", # "X40", # "X41", # "X42", # "X44", # "X47", # }, # } # # sums_methods_pdf = { # "Total revenue": { # "B01", # "B21", # "B22", # "B30", # "B42", # "B43", # "B46", # "B50", # "B54", # "B59", # "B79", # "B80", # "B89", # "B91", # "B92", # "B93", # "B94", # "D21", # "D30", # "D42", # "D46", # "D50", # "D79", # "D80", # "D89", # "D91", # "D92", # "D93", # "D94", # "T01", # "T09", # "T10", # "T11", # "T12", # "T13", # "T14", # "T15", # "T16", # "T19", # "T20", # "T21", # "T22", # "T23", # "T24", # "T25", # "T27", # "T28", # "T29", # "T40", # "T41", # "T50", # "T51", # "T53", # "T99", # "A01", # "A03", # "A09", # "A10", # "A12", # "A16", # "A18", # "A21", # "A36", # "A44", # "A45", # "A50", # "A54", # "A56", # "A59", # "A60", # "A61", # "A80", # "A81", # "A87", # "A89", # "U01", # "U11", # "U20", # "U21", # "U30", # "U40", # "U41", # "U50", # "U95", # "U99", # "A90", # "A91", # "A92", # "A93", # "A94", # "X01", # "X02", # "X05", # "X08", # "Y01", # "Y02", # "Y04", # "Y10", # "Y11", # "Y12", # "Y50", # "Y51", # "Y52", # }, # "General revenue": { # "B01", # "B21", # "B22", # "B30", # "B42", # "B43", # "B46", # "B50", # "B54", # "B59", # "B79", # "B80", # "B89", # "D21", # "D30", # "D42", # "D46", # "D50", # "D79", # "D80", # "D89", # "D94", # "T09", # "T10", # "T11", # "T12", # "T13", # "T14", # "T15", # "T16", # "T19", # "T20", # "T21", # "T22", # "T23", # "T24", # "T25", # "T27", # "T28", # "T29", # "T40", # "T41", # "T01", # "T50", # "T51", # "T53", # "T99", # "A01", # "A03", # "A09", # "A10", # "A12", # "A16", # "A18", # "A21", # "A36", # "A44", # "A45", # "A50", # "A54", # "A56", # "A59", # "A60", # "A61", # "A80", # "A81", # "A87", # "A89", # "U01", # "U11", # "U20", # "U21", # "U30", # "U40", # "U41", # "U50", # "U95", # "U99", # }, # "Intergovernmental revenue": { # "B01", # "B21", # "B22", # "B30", # "B42", # "B43", # "B46", # "B50", # "B54", # "B59", # "B79", # "B80", # "B89", # "B91", # "B92", # "B93", # "B94", # "D21", # "D30", # "D42", # "D46", # "D50", # "D79", # "D80", # "D89", # "D91", # "D92", # "D93", # "D94", # "S74", # }, # "Taxes": { # "T01", # "T09", # "T10", # "T11", # "T12", # "T13", # "T14", # "T15", # "T16", # "T19", # "T20", # "T21", # "T22", # "T23", # "T24", # "T25", # "T27", # "T28", # "T29", # "T40", # "T41", # "T50", # "T51", # "T53", # "T99", # }, # "General sales": {"T09"}, # "Selective sales": {"T10", "T11", "T12", "T13", "T14", "T15", "T16", "T19"}, # "License taxes": {"T20", "T21", "T22", "T23", "T24", "T25", "T27", "T28", "T29"}, # "Individual income tax": {"T40"}, # "Corporate income tax": {"T41"}, # "Other taxes": {"T01", "T50", "T51", "T53", "T99"}, # "Current charge": { # "A01", # "A03", # "A09", # "A10", # "A12", # "A16", # "A18", # "A21", # "A36", # "A44", # "A45", # "A50", # "A54", # "A56", # "A59", # "A60", # "A61", # "A80", # "A81", # "A87", # "A89", # }, # "Miscellaneous general revenue": { # "U01", # "U11", # "U20", # "U21", # "U30", # "U40", # "U41", # "U50", # "U95", # "U99", # }, # "Utility revenue": {"A91", "A92", "A93", "A94"}, # "Liquor stores revenue": {"A90"}, # "Insurance trust revenue": { # "X01", # "X02", # "X05", # "X08", # "Y01", # "Y02", # "Y04", # "Y10", # "Y11", # "Y12", # "Y50", # "Y51", # "Y52", # }, # "Total expenditure": { # "E01", # "E03", # "E04", # "E05", # "E12", # "E16", # "E18", # "E21", # "E22", # "E23", # "E25", # "E26", # "E27", # "E29", # "E31", # "E32", # "E36", # "E44", # "E45", # "E50", # "E52", # "E54", # "E55", # "E56", # "E59", # "E60", # "E61", # "E62", # "E66", # "E73", # "E74", # "E75", # "E77", # "E79", # "E80", # "E81", # "E85", # "E87", # "E89", # "E90", # "E91", # "E92", # "E93", # "E94", # "I89", # "I91", # "I92", # "I93", # "I94", # "J19", # "J67", # "J68", # "J85", # "X11", # "X12", # "Y05", # "Y06", # "Y15", # "Y14", # "Y53", # "Y54", # "F01", # "F03", # "F04", # "F05", # "F12", # "F16", # "F18", # "F21", # "F22", # "F23", # "F25", # "F26", # "F27", # "F29", # "F31", # "F32", # "F36", # "F44", # "F45", # "F50", # "F52", # "F54", # "F55", # "F56", # "F59", # "F60", # "F61", # "F62", # "F66", # "F77", # "F79", # "F80", # "F81", # "F85", # "F87", # "F89", # "F90", # "F91", # "F92", # "F93", # "F94", # "G01", # "G03", # "G04", # "G05", # "G12", # "G16", # "G18", # "G21", # "G22", # "G23", # "G24", # "G25", # "G26", # "G27", # "G29", # "G31", # "G32", # "G36", # "G44", # "G45", # "G50", # "G52", # "G54", # "G55", # "G56", # "G59", # "G60", # "G61", # "G62", # "G66", # "G77", # "G79", # "G80", # "G81", # "G85", # "G87", # "G89", # "G90", # "G91", # "G92", # "G93", # "G94", # "M01", # "M04", # "M05", # "M12", # "M18", # "M21", # "M23", # "M25", # "M27", # "M29", # "M30", # "M32", # "M36", # "M44", # "M50", # "M52", # "M54", # "M55", # "M56", # "M59", # "M60", # "M61", # "M62", # "M66", # "M67", # "M68", # "M79", # "M80", # "M81", # "M87", # "M89", # "M91", # "M92", # "M93", # "M94", # "Q12", # "Q18", # "S67", # "S74", # "S89", # }, # "Intergovernmental expenditure": { # "M01", # "M04", # "M05", # "M12", # "M18", # "M21", # "M23", # "M25", # "M27", # "M29", # "M30", # "M32", # "M36", # "M44", # "M50", # "M52", # "M54", # "M55", # "M56", # "M59", # "M60", # "M61", # "M62", # "M66", # "M67", # "M68", # "M79", # "M80", # "M81", # "M87", # "M89", # "M91", # "M92", # "M93", # "M94", # "Q12", # "Q18", # "S67", # "S68", # "S89", # }, # "Direct expenditure": { # "E01", # "E03", # "E04", # "E05", # "E12", # "E16", # "E18", # "E21", # "E22", # "E23", # "E25", # "E26", # "E27", # "E29", # "E31", # "E32", # "E36", # "E44", # "E45", # "E50", # "E52", # "E54", # "E55", # "E56", # "E59", # "E60", # "E61", # "E62", # "E66", # "E73", # "E74", # "E75", # "E77", # "E79", # "E80", # "E81", # "E85", # "E87", # "E89", # "E90", # "E91", # "E92", # "E93", # "E94", # "F01", # "F03", # "F04", # "F05", # "F12", # "F16", # "F18", # "F21", # "F22", # "F23", # "F25", # "F26", # "F27", # "F29", # "F31", # "F32", # "F36", # "F44", # "F45", # "F50", # "F52", # "F54", # "F55", # "F56", # "F59", # "F60", # "F61", # "F62", # "F66", # "F77", # "F79", # "F80", # "F81", # "F85", # "F87", # "F89", # "F90", # "F91", # "F92", # "F93", # "F94", # "G01", # "G03", # "G04", # "G05", # "G12", # "G16", # "G18", # "G21", # "G22", # "G23", # "G24", # "G25", # "G26", # "G29", # "G31", # "G32", # "G36", # "G44", # "G45", # "G50", # "G52", # "G54", # "G55", # "G56", # "G59", # "G60", # "G61", # "G62", # "G66", # "G77", # "G79", # "G80", # "G81", # "G85", # "G87", # "G89", # "G90", # "G91", # "G92", # "G93", # "G94", # "X11", # "X12", # "Y05", # "Y06", # "Y14", # "Y15", # "Y53", # "Y54", # "J19", # "J67", # "J68", # "J85", # "I89", # "I91", # "I92", # "I93", # "I94", # }, # "Current operation": { # "E01", # "E03", # "E04", # "E05", # "E12", # "E16", # "E18", # "E21", # "E22", # "E23", # "E25", # "E26", # "E27", # "E29", # "E31", # "E32", # "E36", # "E44", # "E45", # "E50", # "E52", # "E54", # "E55", # "E56", # "E59", # "E60", # "E61", # "E62", # "E66", # "E73", # "E74", # "E75", # "E77", # "E79", # "E80", # "E81", # "E85", # "E87", # "E89", # "E90", # "E91", # "E92", # "E93", # "E94", # }, # "Capital outlay": { # "F01", # "F03", # "F04", # "F05", # "F12", # "F16", # "F18", # "F21", # "F22", # "F23", # "F25", # "F26", # "F27", # "F29", # "F31", # "F32", # "F36", # "F44", # "F45", # "F50", # "F52", # "F54", # "F55", # "F56", # "F59", # "F60", # "F61", # "F62", # "F66", # "F77", # "F79", # "F80", # "F81", # "F85", # "F87", # "F89", # "F90", # "F91", # "F92", # "F93", # "F94", # "G01", # "G03", # "G04", # "G05", # "G12", # "G16", # "G18", # "G21", # "G22", # "G23", # "G24", # "G25", # "G26", # "G27", # "G29", # "G31", # "G32", # "G36", # "G44", # "G45", # "G50", # "G52", # "G54", # "G55", # "G56", # "G59", # "G60", # "G61", # "G62", # "G66", # "G77", # "G79", # "G80", # "G81", # "G85", # "G87", # "G89", # "G90", # "G91", # "G92", # "G93", # "G94", # }, # "Insurance benefits and repayments": { # "X11", # "X12", # "Y05", # "Y06", # "Y14", # "Y15", # "Y53", # "Y54", # }, # "Assistance and subsidies": {"J19", "J67", "J68", "J85"}, # "Interest on debt": {"I89", "I91", "I92", "I93", "I94"}, # "Exhibit: Salaries and wages": {"Z00"}, # "General expenditure": { # "M01", # "M04", # "M05", # "M12", # "M18", # "M21", # "M23", # "M25", # "M27", # "M29", # "M30", # "M32", # "M36", # "M44", # "M50", # "M52", # "M54", # "M55", # "M56", # "M59", # "M60", # "M61", # "M62", # "M66", # "M67", # "M68", # "M79", # "M80", # "M81", # "M87", # "M89", # "M91", # "M92", # "M93", # "M94", # "Q12", # "Q18", # "S67", # "S89", # "E01", # "E03", # "E04", # "E05", # "E12", # "E16", # "E18", # "E21", # "E22", # "E23", # "E25", # "E26", # "E27", # "E29", # "E31", # "E32", # "E36", # "E44", # "E45", # "E50", # "E52", # "E54", # "E55", # "E56", # "E59", # "E60", # "E61", # "E62", # "E66", # "E73", # "E74", # "E75", # "E77", # "E79", # "E80", # "E81", # "E85", # "E87", # "E89", # "F01", # "F03", # "F04", # "F05", # "F12", # "F16", # "F18", # "F21", # "F22", # "F23", # "F25", # "F26", # "F27", # "F29", # "F31", # "F32", # "F36", # "F44", # "F45", # "F50", # "F52", # "F54", # "F55", # "F56", # "F59", # "F60", # "F61", # "F62", # "F66", # "F77", # "F79", # "F80", # "F81", # "F85", # "F87", # "F89", # "G01", # "G03", # "G04", # "G05", # "G12", # "G16", # "G18", # "G21", # "G22", # "G23", # "G24", # "G25", # "G26", # "G27", # "G29", # "G31", # "G32", # "G36", # "G44", # "G45", # "G50", # "G52", # "G54", # "G55", # "G56", # "G59", # "G60", # "G61", # "G62", # "G66", # "G77", # "G79", # "G80", # "G81", # "G85", # "G87", # "G89", # "I89", # "J19", # "J67", # "J68", # "J85", # }, # "Direct general expenditure": { # "E01", # "E03", # "E04", # "E05", # "E12", # "E16", # "E18", # "E21", # "E22", # "E23", # "E25", # "E26", # "E27", # "E29", # "E31", # "E32", # "E36", # "E44", # "E45", # "E50", # "E52", # "E54", # "E55", # "E56", # "E59", # "E60", # "E61", # "E62", # "E66", # "E73", # "E74", # "E75", # "E77", # "E79", # "E80", # "E81", # "E85", # "E87", # "E89", # "F01", # "F03", # "F04", # "F05", # "F12", # "F16", # "F18", # "F21", # "F22", # "F23", # "F25", # "F26", # "F27", # "F29", # "F31", # "F32", # "F36", # "F44", # "F45", # "F50", # "F52", # "F54", # "F55", # "F56", # "F59", # "F60", # "F61", # "F62", # "F66", # "F77", # "F79", # "F80", # "F81", # "F85", # "F87", # "F89", # "G01", # "G03", # "G04", # "G05", # "G12", # "G16", # "G18", # "G21", # "G22", # "G23", # "G25", # "G26", # "G27", # "G29", # "G31", # "G32", # "G36", # "G44", # "G45", # "G50", # "G52", # "G54", # "G55", # "G56", # "G59", # "G60", # "G61", # "G62", # "G66", # "G77", # "G79", # "G80", # "G81", # "G85", # "G87", # "G89", # "I89", # "J19", # "J67", # "J68", # "J85", # }, # "Education": { # "E12", # "F12", # "G12", # "M12", # "Q12", # "E16", # "F16", # "G16", # "E18", # "F18", # "G18", # "M18", # "Q18", # "J19", # "E21", # "F21", # "G21", # "M21", # }, # "Public welfare": { # "J67", # "M67", # "S67", # "S74", # "J68", # "M68", # "E73", # "E74", # "E75", # "E77", # "F77", # "G77", # "E79", # "M79", # "F79", # "G79", # }, # "Hospitals": {"E36", "F36", "G36", "M36"}, # # "Health": {"E27", "E32", "F27", "F32", "G27", "G32", "M27", "M32"}, # "Health": {"E32", "F32", "G32", "M32"}, # "Highways": {"E44", "M44", "F44", "G44", "E45", "F45", "G45"}, # "Police protection": {"E62", "F62", "G62", "M62"}, # "Correction": {"E04", "M04", "F04", "G04", "E05", "F05", "G05", "M05"}, # "Natural resources": { # "E54", # "E55", # "M54", # "M55", # "E56", # "M56", # "E59", # "M59", # "F54", # "F55", # "F56", # "F59", # "G54", # "G55", # "G56", # "G59", # }, # "Parks and recreation": {"E61", "F61", "G61", "M61"}, # "Governmental administration": { # "E23", # "F23", # "G23", # "M23", # "E25", # "F25", # "G25", # "M25", # "E26", # "F26", # "G26", # "E29", # "M29", # "F29", # "G29", # "E31", # "F31", # "G31", # }, # "Interest on general debt": {"I89"}, # "Other and unallocable": { # "E01", # "F01", # "G01", # "M01", # "E03", # "F03", # "G03", # "E22", # "F22", # "G22", # "M30", # "E50", # "F50", # "G50", # "M50", # "E52", # "F52", # "G52", # "M52", # "E66", # "F66", # "G66", # "M66", # "E80", # "F80", # "G80", # "M80", # "E81", # "F81", # "G81", # "M81", # "E85", # "F85", # "G85", # "J85", # "E87", # "F87", # "G87", # "M87", # "E89", # "F89", # "G89", # "M89", # "S89", # "M91", # "M92", # "M93", # "M94", # }, # "Utility expenditure": { # "E91", # "F91", # "G91", # "I91", # "E92", # "F92", # "G92", # "I92", # "E93", # "F93", # "G93", # "I93", # "E94", # "F94", # "G94", # "I94", # }, # "Liquor stores expenditure": {"E90", "F90", "G90"}, # "Insurance trust expenditure": { # "X11", # "X12", # "Y05", # "Y06", # "Y14", # "Y15", # "Y53", # "Y54", # }, # "Debt at end of fiscal year": {"64V", "44T", "49U"}, # "Cash and security holdings": { # "W01", # "W31", # "W61", # "X21", # "X30", # "Z77", # "Z78", # "X42", # "X44", # "X47", # "Y07", # "Y08", # "Y21", # "Y61", # }, # } # # sums_2005_2011 = { # "Total revenue": { # "B01", # "B21", # "B22", # "B30", # "B42", # "B43", # "B46", # "B50", # "B54", # "B59", # "B79", # "B80", # "B89", # "B91", # "B92", # "B93", # "B94", # "D21", # "D30", # "D42", # "D46", # "D50", # "D79", # "D80", # "D89", # "D91", # "D92", # "D93", # "D94", # "T01", # "T09", # "T10", # "T11", # "T12", # "T13", # "T14", # "T15", # "T16", # "T19", # "T20", # "T21", # "T22", # "T23", # "T24", # "T25", # "T27", # "T28", # "T29", # "T40", # "T41", # "T50", # "T51", # "T53", # "T99", # "A01", # "A03", # "A09", # "A10", # "A12", # "A16", # "A18", # "A21", # "A36", # "A44", # "A45", # "A50", # "A54", # "A56", # "A59", # "A60", # "A61", # "A80", # "A81", # "A87", # "A89", # "U01", # "U11", # "U20", # "U21", # "U30", # "U40", # "U41", # "U50", # "U95", # "U99", # "A90", # "A91", # "A92", # "A93", # "A94", # "X01", # "X02", # "X05", # "X08", # "Y01", # "Y02", # "Y04", # "Y10", # "Y11", # "Y12", # "Y50", # "Y51", # "Y52", # }, # "General revenue": { # "B01", # "B21", # "B22", # "B30", # "B42", # "B43", # "B46", # "B50", # "B54", # "B59", # "B79", # "B80", # "B89", # "D21", # "D30", # "D42", # "D46", # "D50", # "D79", # "D80", # "D89", # "D94", # "T09", # "T10", # "T11", # "T12", # "T13", # "T14", # "T15", # "T16", # "T19", # "T20", # "T21", # "T22", # "T23", # "T24", # "T25", # "T27", # "T28", # "T29", # "T40", # "T41", # "T01", # "T50", # "T51", # "T53", # "T99", # "A01", # "A03", # "A09", # "A10", # "A12", # "A16", # "A18", # "A21", # "A36", # "A44", # "A45", # "A50", # "A54", # "A56", # "A59", # "A60", # "A61", # "A80", # "A81", # "A87", # "A89", # "U01", # "U11", # "U20", # "U21", # "U30", # "U40", # "U41", # "U50", # "U95", # "U99", # }, # "Intergovernmental revenue": { # "B01", # "B21", # "B22", # "B30", # "B42", # "B43", # "B46", # "B50", # "B54", # "B59", # "B79", # "B80", # "B89", # "B91", # "B92", # "B93", # "B94", # "D21", # "D30", # "D42", # "D46", # "D50", # "D79", # "D80", # "D89", # "D91", # "D92", # "D93", # "D94", # "S74", # }, # "Taxes": { # "T01", # "T09", # "T10", # "T11", # "T12", # "T13", # "T14", # "T15", # "T16", # "T19", # "T20", # "T21", # "T22", # "T23", # "T24", # "T25", # "T27", # "T28", # "T29", # "T40", # "T41", # "T50", # "T51", # "T53", # "T99", # }, # "General sales": {"T09"}, # "Selective sales": {"T10", "T11", "T12", "T13", "T14", "T15", "T16", "T19"}, # "License taxes": {"T20", "T21", "T22", "T23", "T24", "T25", "T27", "T28", "T29"}, # "Individual income tax": {"T40"}, # "Corporate income tax": {"T41"}, # "Other taxes": {"T01", "T50", "T51", "T53", "T99"}, # "Current charge": { # "A01", # "A03", # "A09", # "A10", # "A12", # "A16", # "A18", # "A21", # "A36", # "A44", # "A45", # "A50", # "A54", # "A56", # "A59", # "A60", # "A61", # "A80", # "A81", # "A87", # "A89", # }, # "Miscellaneous general revenue": { # "U01", # "U11", # "U20", # "U21", # "U30", # "U40", # "U41", # "U50", # "U95", # "U99", # }, # "Utility revenue": {"A91", "A92", "A93", "A94"}, # "Liquor stores revenue": {"A90"}, # "Insurance trust revenue": { # "X01", # "X02", # "X05", # "X08", # "Y01", # "Y02", # "Y04", # "Y10", # "Y11", # "Y12", # "Y50", # "Y51", # "Y52", # }, # "Total expenditure": { # "E01", # "E03", # "E04", # "E05", # "E12", # "E16", # "E18", # "E21", # "E22", # "E23", # "E25", # "E26", # "E27", # "E29", # "E31", # "E32", # "E36", # "E44", # "E45", # "E50", # "E52", # "E54", # "E55", # "E56", # "E59", # "E60", # "E61", # "E62", # "E66", # "E73", # "E74", # "E75", # "E77", # "E79", # "E80", # "E81", # "E85", # "E87", # "E89", # "E90", # "E91", # "E92", # "E93", # "E94", # "I89", # "I91", # "I92", # "I93", # "I94", # "J19", # "J67", # "J68", # "J85", # "X11", # "X12", # "Y05", # "Y06", # "Y15", # "Y14", # "Y53", # "Y54", # "F01", # "F03", # "F04", # "F05", # "F12", # "F16", # "F18", # "F21", # "F22", # "F23", # "F25", # "F26", # "F27", # "F29", # "F31", # "F32", # "F36", # "F44", # "F45", # "F50", # "F52", # "F54", # "F55", # "F56", # "F59", # "F60", # "F61", # "F62", # "F66", # "F77", # "F79", # "F80", # "F81", # "F85", # "F87", # "F89", # "F90", # "F91", # "F92", # "F93", # "F94", # "G01", # "G03", # "G04", # "G05", # "G12", # "G16", # "G18", # "G21", # "G22", # "G23", # "G24", # "G25", # "G26", # "G27", # "G29", # "G31", # "G32", # "G36", # "G44", # "G45", # "G50", # "G52", # "G54", # "G55", # "G56", # "G59", # "G60", # "G61", # "G62", # "G66", # "G77", # "G79", # "G80", # "G81", # "G85", # "G87", # "G89", # "G90", # "G91", # "G92", # "G93", # "G94", # "M01", # "M04", # "M05", # "M12", # "M18", # "M21", # "M23", # "M25", # "M27", # "M29", # "M30", # "M32", # "M36", # "M44", # "M50", # "M52", # "M54", # "M55", # "M56", # "M59", # "M60", # "M61", # "M62", # "M66", # "M67", # "M68", # "M79", # "M80", # "M81", # "M87", # "M89", # "M91", # "M92", # "M93", # "M94", # "Q12", # "Q18", # "S67", # "S74", # "S89", # }, # "Intergovernmental expenditure": { # "M01", # "M04", # "M05", # "M12", # "M18", # "M21", # "M23", # "M25", # "M27", # "M29", # "M30", # "M32", # "M36", # "M44", # "M50", # "M52", # "M54", # "M55", # "M56", # "M59", # "M60", # "M61", # "M62", # "M66", # "M67", # "M68", # "M79", # "M80", # "M81", # "M87", # "M89", # "M91", # "M92", # "M93", # "M94", # "Q12", # "Q18", # "S67", # "S68", # "S89", # }, # "Direct expenditure": { # "E01", # "E03", # "E04", # "E05", # "E12", # "E16", # "E18", # "E21", # "E22", # "E23", # "E25", # "E26", # "E27", # "E29", # "E31", # "E32", # "E36", # "E44", # "E45", # "E50", # "E52", # "E54", # "E55", # "E56", # "E59", # "E60", # "E61", # "E62", # "E66", # "E73", # "E74", # "E75", # "E77", # "E79", # "E80", # "E81", # "E85", # "E87", # "E89", # "E90", # "E91", # "E92", # "E93", # "E94", # "F01", # "F03", # "F04", # "F05", # "F12", # "F16", # "F18", # "F21", # "F22", # "F23", # "F25", # "F26", # "F27", # "F29", # "F31", # "F32", # "F36", # "F44", # "F45", # "F50", # "F52", # "F54", # "F55", # "F56", # "F59", # "F60", # "F61", # "F62", # "F66", # "F77", # "F79", # "F80", # "F81", # "F85", # "F87", # "F89", # "F90", # "F91", # "F92", # "F93", # "F94", # "G01", # "G03", # "G04", # "G05", # "G12", # "G16", # "G18", # "G21", # "G22", # "G23", # "G24", # "G25", # "G26", # "G29", # "G31", # "G32", # "G36", # "G44", # "G45", # "G50", # "G52", # "G54", # "G55", # "G56", # "G59", # "G60", # "G61", # "G62", # "G66", # "G77", # "G79", # "G80", # "G81", # "G85", # "G87", # "G89", # "G90", # "G91", # "G92", # "G93", # "G94", # "X11", # "X12", # "Y05", # "Y06", # "Y14", # "Y15", # "Y53", # "Y54", # "J19", # "J67", # "J68", # "J85", # "I89", # "I91", # "I92", # "I93", # "I94", # }, # "Current operation": { # "E01", # "E03", # "E04", # "E05", # "E12", # "E16", # "E18", # "E21", # "E22", # "E23", # "E25", # "E26", # "E27", # "E29", # "E31", # "E32", # "E36", # "E44", # "E45", # "E50", # "E52", # "E54", # "E55", # "E56", # "E59", # "E60", # "E61", # "E62", # "E66", # "E73", # "E74", # "E75", # "E77", # "E79", # "E80", # "E81", # "E85", # "E87", # "E89", # "E90", # "E91", # "E92", # "E93", # "E94", # }, # "Capital outlay": { # "F01", # "F03", # "F04", # "F05", # "F12", # "F16", # "F18", # "F21", # "F22", # "F23", # "F25", # "F26", # "F27", # "F29", # "F31", # "F32", # "F36", # "F44", # "F45", # "F50", # "F52", # "F54", # "F55", # "F56", # "F59", # "F60", # "F61", # "F62", # "F66", # "F77", # "F79", # "F80", # "F81", # "F85", # "F87", # "F89", # "F90", # "F91", # "F92", # "F93", # "F94", # "G01", # "G03", # "G04", # "G05", # "G12", # "G16", # "G18", # "G21", # "G22", # "G23", # "G24", # "G25", # "G26", # "G27", # "G29", # "G31", # "G32", # "G36", # "G44", # "G45", # "G50", # "G52", # "G54", # "G55", # "G56", # "G59", # "G60", # "G61", # "G62", # "G66", # "G77", # "G79", # "G80", # "G81", # "G85", # "G87", # "G89", # "G90", # "G91", # "G92", # "G93", # "G94", # }, # "Insurance benefits and repayments": { # "X11", # "X12", # "Y05", # "Y06", # "Y14", # "Y15", # "Y53", # "Y54", # }, # "Assistance and subsidies": {"J19", "J67", "J68", "J85"}, # "Interest on debt": {"I89", "I91", "I92", "I93", "I94"}, # "Exhibit: Salaries and wages": {"Z00"}, # "General expenditure": { # "M01", # "M04", # "M05", # "M12", # "M18", # "M21", # "M23", # "M25", # "M27", # "M29", # "M30", # "M32", # "M36", # "M44", # "M50", # "M52", # "M54", # "M55", # "M56", # "M59", # "M60", # "M61", # "M62", # "M66", # "M67", # "M68", # "M79", # "M80", # "M81", # "M87", # "M89", # "M91", # "M92", # "M93", # "M94", # "Q12", # "Q18", # "S67", # "S89", # "E01", # "E03", # "E04", # "E05", # "E12", # "E16", # "E18", # "E21", # "E22", # "E23", # "E25", # "E26", # "E27", # "E29", # "E31", # "E32", # "E36", # "E44", # "E45", # "E50", # "E52", # "E54", # "E55", # "E56", # "E59", # "E60", # "E61", # "E62", # "E66", # "E73", # "E74", # "E75", # "E77", # "E79", # "E80", # "E81", # "E85", # "E87", # "E89", # "F01", # "F03", # "F04", # "F05", # "F12", # "F16", # "F18", # "F21", # "F22", # "F23", # "F25", # "F26", # "F27", # "F29", # "F31", # "F32", # "F36", # "F44", # "F45", # "F50", # "F52", # "F54", # "F55", # "F56", # "F59", # "F60", # "F61", # "F62", # "F66", # "F77", # "F79", # "F80", # "F81", # "F85", # "F87", # "F89", # "G01", # "G03", # "G04", # "G05", # "G12", # "G16", # "G18", # "G21", # "G22", # "G23", # "G24", # "G25", # "G26", # "G27", # "G29", # "G31", # "G32", # "G36", # "G44", # "G45", # "G50", # "G52", # "G54", # "G55", # "G56", # "G59", # "G60", # "G61", # "G62", # "G66", # "G77", # "G79", # "G80", # "G81", # "G85", # "G87", # "G89", # "I89", # "J19", # "J67", # "J68", # "J85", # }, # "Direct general expenditure": { # "E01", # "E03", # "E04", # "E05", # "E12", # "E16", # "E18", # "E21", # "E22", # "E23", # "E25", # "E26", # "E27", # "E29", # "E31", # "E32", # "E36", # "E44", # "E45", # "E50", # "E52", # "E54", # "E55", # "E56", # "E59", # "E60", # "E61", # "E62", # "E66", # "E73", # "E74", # "E75", # "E77", # "E79", # "E80", # "E81", # "E85", # "E87", # "E89", # "F01", # "F03", # "F04", # "F05", # "F12", # "F16", # "F18", # "F21", # "F22", # "F23", # "F25", # "F26", # "F27", # "F29", # "F31", # "F32", # "F36", # "F44", # "F45", # "F50", # "F52", # "F54", # "F55", # "F56", # "F59", # "F60", # "F61", # "F62", # "F66", # "F77", # "F79", # "F80", # "F81", # "F85", # "F87", # "F89", # "G01", # "G03", # "G04", # "G05", # "G12", # "G16", # "G18", # "G21", # "G22", # "G23", # "G25", # "G26", # "G27", # "G29", # "G31", # "G32", # "G36", # "G44", # "G45", # "G50", # "G52", # "G54", # "G55", # "G56", # "G59", # "G60", # "G61", # "G62", # "G66", # "G77", # "G79", # "G80", # "G81", # "G85", # "G87", # "G89", # "I89", # "J19", # "J67", # "J68", # "J85", # }, # "Education": { # "E12", # "F12", # "G12", # "M12", # "Q12", # "E16", # "F16", # "G16", # "E18", # "F18", # "G18", # "M18", # "Q18", # "J19", # "E21", # "F21", # "G21", # "M21", # }, # "Public welfare": { # "J67", # "M67", # "S67", # "S74", # "J68", # "M68", # "E73", # "E74", # "E75", # "E77", # "F77", # "G77", # "E79", # "M79", # "F79", # "G79", # }, # "Hospitals": {"E36", "F36", "G36", "M36"}, # "Health": {"E27", "E32", "F27", "F32", "G27", "G32", "M27", "M32"}, # # "Health": {"E32", "F32", "G32", "M32"}, # "Highways": {"E44", "M44", "F44", "G44", "E45", "F45", "G45"}, # "Police protection": {"E62", "F62", "G62", "M62"}, # "Correction": {"E04", "M04", "F04", "G04", "E05", "F05", "G05", "M05"}, # "Natural resources": { # "E54", # "E55", # "M54", # "M55", # "E56", # "M56", # "E59", # "M59", # "F54", # "F55", # "F56", # "F59", # "G54", # "G55", # "G56", # "G59", # }, # "Parks and recreation": {"E61", "F61", "G61", "M61"}, # "Governmental administration": { # "E23", # "F23", # "G23", # "M23", # "E25", # "F25", # "G25", # "M25", # "E26", # "F26", # "G26", # "E29", # "M29", # "F29", # "G29", # "E31", # "F31", # "G31", # }, # "Interest on general debt": {"I89"}, # "Other and unallocable": { # "E01", # "F01", # "G01", # "M01", # "E03", # "F03", # "G03", # "E22", # "F22", # "G22", # "M30", # "E50", # "F50", # "G50", # "M50", # "E52", # "F52", # "G52", # "M52", # "E66", # "F66", # "G66", # "M66", # "E80", # "F80", # "G80", # "M80", # "E81", # "F81", # "G81", # "M81", # "E85", # "F85", # "G85", # "J85", # "E87", # "F87", # "G87", # "M87", # "E89", # "F89", # "G89", # "M89", # "S89", # "M91", # "M92", # "M93", # "M94", # }, # "Utility expenditure": { # "E91", # "F91", # "G91", # "I91", # "E92", # "F92", # "G92", # "I92", # "E93", # "F93", # "G93", # "I93", # "E94", # "F94", # "G94", # "I94", # }, # "Liquor stores expenditure": {"E90", "F90", "G90"}, # "Insurance trust expenditure": { # "X11", # "X12", # "Y05", # "Y06", # "Y14", # "Y15", # "Y53", # "Y54", # }, # "Debt at end of fiscal year": {"64V", "44T", "49U"}, # "Cash and security holdings": { # "W01", # "W31", # "W61", # "X21", # "X30", # "Z77", # "Z78", # "X42", # "X44", # "X47", # "Y07", # "Y08", # "Y21", # "Y61", # }, # }

17.200349

88

0.203544

6,771

108,345

3.255797

0.113573

0.006532

0.009798

0.010342

0.943978

0.938353

0.916716

0.908596

0.905693

0.898707

0

0.269389

0.565148

108,345

6,298

89

17.20308

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1

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1

0

null

0

10

3635c5f0a97391f7eab4b031324762b8006124cf

6,505

py

Python

telegram_bot/test/test_main.py

diego-hermida/ClimateChangeApp

576d49ec5b76f709cc86874ffb03f4a38dbbbbfd

[ "MIT" ]

2

2018-07-01T20:36:46.000Z

2019-11-01T22:47:06.000Z

telegram_bot/test/test_main.py

diego-hermida/ClimateChangeApp

576d49ec5b76f709cc86874ffb03f4a38dbbbbfd

[ "MIT" ]

1

2021-06-10T20:28:53.000Z

telegram_bot/test/test_main.py

diego-hermida/ClimateChangeApp

576d49ec5b76f709cc86874ffb03f4a38dbbbbfd

[ "MIT" ]

null

import datetime import telegram from telegram_bot import main as main from unittest import TestCase, mock from unittest.mock import Mock @mock.patch('builtins.print', Mock()) class TestMain(TestCase): @mock.patch('builtins.input', Mock()) @mock.patch('telegram.Bot') def test_no_valid_messages(self, mock_bot): mock_bot.return_value.get_updates.return_value = [] with self.assertRaises(SystemExit) as ex: main.main() self.assertEqual(1, ex.exception.code) self.assertEqual(1, mock_bot.return_value.get_updates.call_count) @mock.patch('builtins.input', Mock(side_effect=KeyboardInterrupt('Test Ctrl+C'))) @mock.patch('telegram.Bot') def test_ctrl_c(self, mock_bot): mock_bot.return_value.get_updates.return_value = [] with self.assertRaises(SystemExit) as ex: main.main() self.assertEqual(2, ex.exception.code) @mock.patch('builtins.input', Mock()) @mock.patch('telegram.Bot') def test_valid_messages_single_user_bot_not_blocked(self, mock_bot): message = Mock() message.message = Mock() message.message.date = datetime.datetime.now() message.message.text = '/start' message.message.chat_id = 318448214 message.message.chat.first_name = 'John' message.message.chat.last_name = 'Doe' mock_bot.return_value.get_updates.return_value = [message] main.main() self.assertEqual(1, mock_bot.return_value.get_updates.call_count) self.assertEqual(1, mock_bot.return_value.send_message.call_count) @mock.patch('builtins.input', Mock()) @mock.patch('telegram.Bot') def test_valid_messages_single_user_bot_not_blocked_multiple_messages(self, mock_bot): message = Mock() message.message = Mock() message.message.date = datetime.datetime.now() message.message.text = '/start' message.message.chat_id = 318448214 message.message.chat.first_name = 'John' message.message.chat.last_name = 'Doe' mock_bot.return_value.get_updates.return_value = [message, message, message] main.main() self.assertEqual(1, mock_bot.return_value.get_updates.call_count) self.assertEqual(1, mock_bot.return_value.send_message.call_count) @mock.patch('builtins.input', Mock()) @mock.patch('telegram.Bot') def test_valid_messages_single_user_bot_blocked(self, mock_bot): message = Mock() message.message = Mock() message.message.date = datetime.datetime.now() message.message.text = '/start' message.message.chat_id = 318448214 message.message.chat.first_name = 'John' message.message.chat.last_name = 'Doe' mock_bot.return_value.get_updates.return_value = [message] mock_bot.return_value.send_message.side_effect = telegram.error.Unauthorized('Test error.') with self.assertRaises(SystemExit) as ex: main.main() self.assertEqual(1, ex.exception.code) self.assertEqual(1, mock_bot.return_value.get_updates.call_count) self.assertEqual(1, mock_bot.return_value.send_message.call_count) @mock.patch('builtins.input', Mock()) @mock.patch('telegram.Bot') def test_valid_messages_multiple_users_bot_not_blocked(self, mock_bot): message = Mock() message.message = Mock() message.message.date = datetime.datetime.now() message.message.text = '/start' message.message.chat_id = 318448214 message.message.chat.first_name = 'John' message.message.chat.last_name = 'Doe' message2 = Mock() message2.message = Mock() message2.message.date = datetime.datetime.now() message2.message.text = '/start' message2.message.chat_id = 492444223 message2.message.chat.first_name = 'Johnny' message2.message.chat.last_name = 'Appleseed' mock_bot.return_value.get_updates.return_value = [message, message2] main.main() self.assertEqual(1, mock_bot.return_value.get_updates.call_count) self.assertEqual(2, mock_bot.return_value.send_message.call_count) @mock.patch('builtins.input', Mock()) @mock.patch('telegram.Bot') def test_valid_messages_multiple_users_bot_blocked_for_all_users(self, mock_bot): message = Mock() message.message = Mock() message.message.date = datetime.datetime.now() message.message.text = '/start' message.message.chat_id = 318448214 message.message.chat.first_name = 'John' message.message.chat.last_name = 'Doe' message2 = Mock() message2.message = Mock() message2.message.date = datetime.datetime.now() message2.message.text = '/start' message2.message.chat_id = 492444223 message2.message.chat.first_name = 'Johnny' message2.message.chat.last_name = 'Appleseed' mock_bot.return_value.get_updates.return_value = [message, message2] mock_bot.return_value.send_message.side_effect = telegram.error.Unauthorized('Test error.') with self.assertRaises(SystemExit) as ex: main.main() self.assertEqual(1, ex.exception.code) self.assertEqual(1, mock_bot.return_value.get_updates.call_count) self.assertEqual(2, mock_bot.return_value.send_message.call_count) @mock.patch('builtins.input', Mock()) @mock.patch('telegram.Bot') def test_valid_messages_multiple_users_bot_blocked_for_some_users(self, mock_bot): message = Mock() message.message = Mock() message.message.date = datetime.datetime.now() message.message.text = '/start' message.message.chat_id = 318448214 message.message.chat.first_name = 'John' message.message.chat.last_name = 'Doe' message2 = Mock() message2.message = Mock() message2.message.date = datetime.datetime.now() message2.message.text = '/start' message2.message.chat_id = 492444223 message2.message.chat.first_name = 'Johnny' message2.message.chat.last_name = 'Appleseed' mock_bot.return_value.get_updates.return_value = [message, message2] mock_bot.return_value.send_message.side_effect = [telegram.error.Unauthorized('Test error.'), None] main.main() self.assertEqual(1, mock_bot.return_value.get_updates.call_count) self.assertEqual(2, mock_bot.return_value.send_message.call_count)

45.173611

107

0.684243

809

6,505

5.273177

0.088999

0.124707

0.073136

0.101266

0.937178

0.930849

0.924754

0

0.023466

0.200769

6,505

144

108

45.173611

0.797076

0

0.858209

0

0.062558

0

0.156716

1

0.059701

false

0

0.037313

0

0.104478

0.007463

0

null

0

1

0

1

0

null

0

7

36362d4a5bc3cd6b5df65d80381ff4daa0fb2403

292,091

py

Python

Squeezed/src/krotov/Integrals.py

mcditoos/krotov

6a70cc791fa21186997ad2ca5a72f6d30574e7a0

[ "BSD-3-Clause" ]

null

Squeezed/src/krotov/Integrals.py

mcditoos/krotov

6a70cc791fa21186997ad2ca5a72f6d30574e7a0

[ "BSD-3-Clause" ]

null

Squeezed/src/krotov/Integrals.py

mcditoos/krotov

6a70cc791fa21186997ad2ca5a72f6d30574e7a0

[ "BSD-3-Clause" ]

1

2021-11-26T17:01:29.000Z

import numpy as np from IPython.display import display, Markdown __all__ =['gaussiano_norm','overlap2','coherent_overlap','coherent_update'] def separate(V,row): return V[row][0],V[row][1],V[row][2],V[row][3] def coeffscuadraticos11(V,B): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) aux0=(v13*(v24**2))+((0.5*(v14*v34))+((v14*(v22*v34))+((-0.5*(v13*v44))+(v12*(v23*v44))))); aux1=((-0.25*v13)+((-0.5*(v13*v22))+((0.5*(v12*v23))+aux0)))-(v13*(v22*v44)); aux2=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux3=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux2)); aux4=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux3))); aux5=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux4))); aux6=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux5))); aux7=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux6)); aux8=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux7)); aux9=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux8))); aux10=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux9))); aux11=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux10)); aux12=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux11))); aux13=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux12))); aux14=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux13))))-((v12**2)*(v33*v44)); aux15=((aux14-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux16=((0.+-1.j)*((aux1-(v12*(v24*v34)))-(v14*(v23*v24))))/((aux15-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux17=(-0.5*(v34**2))+((0.25*v44)+((0.5*(v22*v44))+((0.5*(v33*v44))+(v22*(v33*v44))))); aux18=(-0.5*(v24**2))+((0.25*v33)+((0.5*(v22*v33))+((2.*(v23*(v24*v34)))+aux17))); aux19=((0.125+((0.25*v22)+((-0.5*(v23**2))+aux18)))-((v23**2)*v44))-(v22*(v34**2)); aux20=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux21=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux20)); aux22=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux21))); aux23=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux22))); aux24=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux23))); aux25=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux24)); aux26=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux25)); aux27=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux26))); aux28=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux27))); aux29=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux28)); aux30=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux29))); aux31=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux30))); aux32=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux31))))-((v12**2)*(v33*v44)); aux33=((aux32-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux34=(aux19-((v24**2)*v33))/((aux33-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux35=(b13*(b24**2))+((0.5*(b14*b34))+((b14*(b22*b34))+((-0.5*(b13*b44))+(b12*(b23*b44))))); aux36=((-0.25*b13)+((-0.5*(b13*b22))+((0.5*(b12*b23))+aux35)))-(b13*(b22*b44)); aux37=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux38=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux37)); aux39=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux38))); aux40=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux39))); aux41=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux40))); aux42=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux41)); aux43=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux42)); aux44=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux43))); aux45=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux44))); aux46=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux45)); aux47=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux46))); aux48=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux47))); aux49=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux48))))-((b12**2)*(b33*b44)); aux50=((aux49-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux51=((0.+1.j)*((aux36-(b12*(b24*b34)))-(b14*(b23*b24))))/((aux50-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux52=(-0.5*(b34**2))+((0.25*b44)+((0.5*(b22*b44))+((0.5*(b33*b44))+(b22*(b33*b44))))); aux53=(-0.5*(b24**2))+((0.25*b33)+((0.5*(b22*b33))+((2.*(b23*(b24*b34)))+aux52))); aux54=((0.125+((0.25*b22)+((-0.5*(b23**2))+aux53)))-((b23**2)*b44))-(b22*(b34**2)); aux55=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux56=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux55)); aux57=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux56))); aux58=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux57))); aux59=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux58))); aux60=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux59)); aux61=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux60)); aux62=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux61))); aux63=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux62))); aux64=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux63)); aux65=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux64))); aux66=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux65))); aux67=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux66))))-((b12**2)*(b33*b44)); aux68=((aux67-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux69=(aux54-((b24**2)*b33))/((aux68-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); output=(0.25*(aux16-aux34))+(-0.25*(np.conjugate((aux51+aux69)))); return output def coeffscuadraticos12(V,B): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) aux0=(0.5*(b12*b24))+((-0.5*(b14*b33))+((b12*(b24*b33))+((0.5*(b13*b34))+(b13*(b22*b34))))); aux1=(((-0.25*b14)+((-0.5*(b14*b22))+((b14*(b23**2))+aux0)))-(b12*(b23*b34)))-(b14*(b22*b33)); aux2=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux3=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux2)); aux4=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux3))); aux5=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux4))); aux6=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux5))); aux7=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux6)); aux8=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux7)); aux9=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux8))); aux10=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux9))); aux11=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux10)); aux12=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux11))); aux13=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux12))); aux14=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux13))))-((b12**2)*(b33*b44)); aux15=((aux14-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux16=(aux1-(b13*(b23*b24)))/((aux15-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux17=((b14**2)*b23)+((0.5*(b24*b34))+((b11*(b24*b34))+((b12*(b13*b44))+(-0.5*(b23*b44))))); aux18=((0.5*(b12*b13))+((-0.25*b23)+((-0.5*(b11*b23))+aux17)))-(b11*(b23*b44)); aux19=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux20=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux19)); aux21=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux20))); aux22=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux21))); aux23=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux22))); aux24=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux23)); aux25=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux24)); aux26=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux25))); aux27=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux26))); aux28=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux27)); aux29=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux28))); aux30=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux29))); aux31=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux30))))-((b12**2)*(b33*b44)); aux32=((aux31-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux33=((aux18-(b12*(b14*b34)))-(b13*(b14*b24)))/((aux32-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux34=(-0.5*(b12*b33))+((b14*(b24*b33))+((b12*(b34**2))+((-0.5*(b12*b44))+(b13*(b23*b44))))); aux35=((-0.25*b12)+((0.5*(b13*b23))+((0.5*(b14*b24))+aux34)))-(b12*(b33*b44)); aux36=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux37=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux36)); aux38=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux37))); aux39=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux38))); aux40=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux39))); aux41=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux40)); aux42=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux41)); aux43=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux42))); aux44=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux43))); aux45=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux44)); aux46=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux45))); aux47=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux46))); aux48=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux47))))-((b12**2)*(b33*b44)); aux49=((aux48-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux50=((aux35-(b13*(b24*b34)))-(b14*(b23*b34)))/((aux49-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux51=(0.5*(v12*v24))+((-0.5*(v14*v33))+((v12*(v24*v33))+((0.5*(v13*v34))+(v13*(v22*v34))))); aux52=((-0.25*v14)+((-0.5*(v14*v22))+((v14*(v23**2))+aux51)))-(v12*(v23*v34)); aux53=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux54=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux53)); aux55=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux54))); aux56=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux55))); aux57=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux56))); aux58=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux57)); aux59=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux58)); aux60=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux59))); aux61=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux60))); aux62=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux61)); aux63=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux62))); aux64=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux63))); aux65=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux64))))-((v12**2)*(v33*v44)); aux66=((aux65-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux67=((aux52-(v14*(v22*v33)))-(v13*(v23*v24)))/((aux66-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux68=((v14**2)*v23)+((0.5*(v24*v34))+((v11*(v24*v34))+((v12*(v13*v44))+(-0.5*(v23*v44))))); aux69=((0.5*(v12*v13))+((-0.25*v23)+((-0.5*(v11*v23))+aux68)))-(v11*(v23*v44)); aux70=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux71=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux70)); aux72=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux71))); aux73=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux72))); aux74=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux73))); aux75=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux74)); aux76=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux75)); aux77=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux76))); aux78=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux77))); aux79=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux78)); aux80=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux79))); aux81=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux80))); aux82=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux81))))-((v12**2)*(v33*v44)); aux83=((aux82-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux84=((aux69-(v12*(v14*v34)))-(v13*(v14*v24)))/((aux83-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux85=(-0.5*(v12*v33))+((v14*(v24*v33))+((v12*(v34**2))+((-0.5*(v12*v44))+(v13*(v23*v44))))); aux86=((-0.25*v12)+((0.5*(v13*v23))+((0.5*(v14*v24))+aux85)))-(v12*(v33*v44)); aux87=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux88=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux87)); aux89=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux88))); aux90=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux89))); aux91=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux90))); aux92=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux91)); aux93=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux92)); aux94=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux93))); aux95=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux94))); aux96=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux95)); aux97=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux96))); aux98=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux97))); aux99=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux98))))-((v12**2)*(v33*v44)); aux100=((aux99-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux101=((aux86-(v13*(v24*v34)))-(v14*(v23*v34)))/((aux100-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); output=(0.5*(((0.+0.5j)*(aux16+aux33))-aux50))+(0.5*(((0.+-0.5j)*(aux67+aux84))-aux101)); return output def coeffscuadraticos13(V,B): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) aux0=(-0.5*(b34**2))+((0.25*b44)+((0.5*(b22*b44))+((0.5*(b33*b44))+(b22*(b33*b44))))); aux1=(-0.5*(b24**2))+((0.25*b33)+((0.5*(b22*b33))+((2.*(b23*(b24*b34)))+aux0))); aux2=((0.125+((0.25*b22)+((-0.5*(b23**2))+aux1)))-((b23**2)*b44))-(b22*(b34**2)); aux3=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux4=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux3)); aux5=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux4))); aux6=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux5))); aux7=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux6))); aux8=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux7)); aux9=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux8)); aux10=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux9))); aux11=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux10))); aux12=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux11)); aux13=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux12))); aux14=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux13))); aux15=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux14))))-((b12**2)*(b33*b44)); aux16=((aux15-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux17=(aux2-((b24**2)*b33))/((aux16-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux18=(-0.5*(b24**2))+((0.25*b44)+((0.5*(b11*b44))+((0.5*(b22*b44))+(b11*(b22*b44))))); aux19=(-0.5*(b14**2))+((0.25*b22)+((0.5*(b11*b22))+((2.*(b12*(b14*b24)))+aux18))); aux20=((0.125+((0.25*b11)+((-0.5*(b12**2))+aux19)))-((b12**2)*b44))-(b11*(b24**2)); aux21=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux22=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux21)); aux23=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux22))); aux24=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux23))); aux25=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux24))); aux26=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux25)); aux27=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux26)); aux28=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux27))); aux29=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux28))); aux30=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux29)); aux31=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux30))); aux32=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux31))); aux33=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux32))))-((b12**2)*(b33*b44)); aux34=((aux33-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux35=(aux20-((b14**2)*b22))/((aux34-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux36=(b13*(b24**2))+((0.5*(b14*b34))+((b14*(b22*b34))+((-0.5*(b13*b44))+(b12*(b23*b44))))); aux37=((-0.25*b13)+((-0.5*(b13*b22))+((0.5*(b12*b23))+aux36)))-(b13*(b22*b44)); aux38=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux39=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux38)); aux40=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux39))); aux41=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux40))); aux42=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux41))); aux43=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux42)); aux44=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux43)); aux45=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux44))); aux46=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux45))); aux47=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux46)); aux48=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux47))); aux49=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux48))); aux50=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux49))))-((b12**2)*(b33*b44)); aux51=((aux50-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux52=((aux37-(b12*(b24*b34)))-(b14*(b23*b24)))/((aux51-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux53=(-0.5*(v34**2))+((0.25*v44)+((0.5*(v22*v44))+((0.5*(v33*v44))+(v22*(v33*v44))))); aux54=(-0.5*(v24**2))+((0.25*v33)+((0.5*(v22*v33))+((2.*(v23*(v24*v34)))+aux53))); aux55=((0.125+((0.25*v22)+((-0.5*(v23**2))+aux54)))-((v23**2)*v44))-(v22*(v34**2)); aux56=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux57=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux56)); aux58=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux57))); aux59=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux58))); aux60=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux59))); aux61=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux60)); aux62=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux61)); aux63=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux62))); aux64=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux63))); aux65=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux64)); aux66=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux65))); aux67=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux66))); aux68=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux67))))-((v12**2)*(v33*v44)); aux69=((aux68-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux70=(aux55-((v24**2)*v33))/((aux69-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux71=(-0.5*(v24**2))+((0.25*v44)+((0.5*(v11*v44))+((0.5*(v22*v44))+(v11*(v22*v44))))); aux72=(-0.5*(v14**2))+((0.25*v22)+((0.5*(v11*v22))+((2.*(v12*(v14*v24)))+aux71))); aux73=((0.125+((0.25*v11)+((-0.5*(v12**2))+aux72)))-((v12**2)*v44))-(v11*(v24**2)); aux74=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux75=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux74)); aux76=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux75))); aux77=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux76))); aux78=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux77))); aux79=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux78)); aux80=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux79)); aux81=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux80))); aux82=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux81))); aux83=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux82)); aux84=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux83))); aux85=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux84))); aux86=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux85))))-((v12**2)*(v33*v44)); aux87=((aux86-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux88=(aux73-((v14**2)*v22))/((aux87-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux89=(v13*(v24**2))+((0.5*(v14*v34))+((v14*(v22*v34))+((-0.5*(v13*v44))+(v12*(v23*v44))))); aux90=((-0.25*v13)+((-0.5*(v13*v22))+((0.5*(v12*v23))+aux89)))-(v13*(v22*v44)); aux91=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux92=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux91)); aux93=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux92))); aux94=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux93))); aux95=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux94))); aux96=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux95)); aux97=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux96)); aux98=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux97))); aux99=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux98))); aux100=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux99)); aux101=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux100))); aux102=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux101))); aux103=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux102))))-((v12**2)*(v33*v44)); aux104=((aux103-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux105=((aux90-(v12*(v24*v34)))-(v14*(v23*v24)))/((aux104-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); output=(0.5*(((0.+-0.5j)*(aux17-aux35))-aux52))+(0.5*(((0.+0.5j)*(aux70-aux88))-aux105)); return output def coeffscuadraticos14(V,B): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) aux0=(-0.5*(b12*b33))+((b14*(b24*b33))+((b12*(b34**2))+((-0.5*(b12*b44))+(b13*(b23*b44))))); aux1=(((-0.25*b12)+((0.5*(b13*b23))+((0.5*(b14*b24))+aux0)))-(b12*(b33*b44)))-(b13*(b24*b34)); aux2=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux3=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux2)); aux4=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux3))); aux5=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux4))); aux6=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux5))); aux7=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux6)); aux8=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux7)); aux9=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux8))); aux10=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux9))); aux11=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux10)); aux12=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux11))); aux13=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux12))); aux14=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux13))))-((b12**2)*(b33*b44)); aux15=((aux14-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux16=(aux1-(b14*(b23*b34)))/((aux15-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux17=(b11*(b23*b24))+((-0.25*b34)+((-0.5*(b11*b34))+(((b12**2)*b34)+(-0.5*(b22*b34))))); aux18=((0.5*(b13*b14))+((b13*(b14*b22))+((0.5*(b23*b24))+aux17)))-(b11*(b22*b34)); aux19=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux20=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux19)); aux21=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux20))); aux22=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux21))); aux23=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux22))); aux24=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux23)); aux25=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux24)); aux26=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux25))); aux27=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux26))); aux28=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux27)); aux29=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux28))); aux30=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux29))); aux31=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux30))))-((b12**2)*(b33*b44)); aux32=((aux31-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux33=((aux18-(b12*(b13*b24)))-(b12*(b14*b23)))/((aux32-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux34=(0.5*(b12*b24))+((-0.5*(b14*b33))+((b12*(b24*b33))+((0.5*(b13*b34))+(b13*(b22*b34))))); aux35=((-0.25*b14)+((-0.5*(b14*b22))+((b14*(b23**2))+aux34)))-(b12*(b23*b34)); aux36=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux37=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux36)); aux38=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux37))); aux39=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux38))); aux40=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux39))); aux41=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux40)); aux42=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux41)); aux43=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux42))); aux44=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux43))); aux45=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux44)); aux46=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux45))); aux47=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux46))); aux48=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux47))))-((b12**2)*(b33*b44)); aux49=((aux48-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux50=((aux35-(b14*(b22*b33)))-(b13*(b23*b24)))/((aux49-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux51=(-0.5*(v12*v33))+((v14*(v24*v33))+((v12*(v34**2))+((-0.5*(v12*v44))+(v13*(v23*v44))))); aux52=((-0.25*v12)+((0.5*(v13*v23))+((0.5*(v14*v24))+aux51)))-(v12*(v33*v44)); aux53=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux54=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux53)); aux55=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux54))); aux56=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux55))); aux57=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux56))); aux58=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux57)); aux59=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux58)); aux60=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux59))); aux61=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux60))); aux62=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux61)); aux63=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux62))); aux64=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux63))); aux65=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux64))))-((v12**2)*(v33*v44)); aux66=((aux65-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux67=((aux52-(v13*(v24*v34)))-(v14*(v23*v34)))/((aux66-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux68=(v11*(v23*v24))+((-0.25*v34)+((-0.5*(v11*v34))+(((v12**2)*v34)+(-0.5*(v22*v34))))); aux69=((0.5*(v13*v14))+((v13*(v14*v22))+((0.5*(v23*v24))+aux68)))-(v11*(v22*v34)); aux70=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux71=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux70)); aux72=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux71))); aux73=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux72))); aux74=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux73))); aux75=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux74)); aux76=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux75)); aux77=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux76))); aux78=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux77))); aux79=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux78)); aux80=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux79))); aux81=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux80))); aux82=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux81))))-((v12**2)*(v33*v44)); aux83=((aux82-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux84=((aux69-(v12*(v13*v24)))-(v12*(v14*v23)))/((aux83-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux85=(0.5*(v12*v24))+((-0.5*(v14*v33))+((v12*(v24*v33))+((0.5*(v13*v34))+(v13*(v22*v34))))); aux86=((-0.25*v14)+((-0.5*(v14*v22))+((v14*(v23**2))+aux85)))-(v12*(v23*v34)); aux87=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux88=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux87)); aux89=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux88))); aux90=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux89))); aux91=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux90))); aux92=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux91)); aux93=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux92)); aux94=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux93))); aux95=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux94))); aux96=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux95)); aux97=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux96))); aux98=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux97))); aux99=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux98))))-((v12**2)*(v33*v44)); aux100=((aux99-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux101=((aux86-(v14*(v22*v33)))-(v13*(v23*v24)))/((aux100-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); output=(0.5*(((0.+-0.5j)*(aux16-aux33))-aux50))+(0.5*(((0.+0.5j)*(aux67-aux84))-aux101)); return output def coeffscuadraticos22(V,B): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) aux0=((v13**2)*v24)+((v12*(v14*v33))+((-0.5*(v24*v33))+((0.5*(v23*v34))+(v11*(v23*v34))))); aux1=((0.5*(v12*v14))+((-0.25*v24)+((-0.5*(v11*v24))+aux0)))-(v12*(v13*v34)); aux2=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux3=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux2)); aux4=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux3))); aux5=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux4))); aux6=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux5))); aux7=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux6)); aux8=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux7)); aux9=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux8))); aux10=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux9))); aux11=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux10)); aux12=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux11))); aux13=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux12))); aux14=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux13))))-((v12**2)*(v33*v44)); aux15=((aux14-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux16=((0.+-1.j)*((aux1-(v11*(v24*v33)))-(v13*(v14*v23))))/((aux15-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux17=(-0.5*(v34**2))+((0.25*v44)+((0.5*(v11*v44))+((0.5*(v33*v44))+(v11*(v33*v44))))); aux18=(-0.5*(v14**2))+((0.25*v33)+((0.5*(v11*v33))+((2.*(v13*(v14*v34)))+aux17))); aux19=((0.125+((0.25*v11)+((-0.5*(v13**2))+aux18)))-((v13**2)*v44))-(v11*(v34**2)); aux20=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux21=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux20)); aux22=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux21))); aux23=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux22))); aux24=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux23))); aux25=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux24)); aux26=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux25)); aux27=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux26))); aux28=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux27))); aux29=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux28)); aux30=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux29))); aux31=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux30))); aux32=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux31))))-((v12**2)*(v33*v44)); aux33=((aux32-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux34=(aux19-((v14**2)*v33))/((aux33-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux35=((b13**2)*b24)+((b12*(b14*b33))+((-0.5*(b24*b33))+((0.5*(b23*b34))+(b11*(b23*b34))))); aux36=((0.5*(b12*b14))+((-0.25*b24)+((-0.5*(b11*b24))+aux35)))-(b12*(b13*b34)); aux37=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux38=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux37)); aux39=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux38))); aux40=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux39))); aux41=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux40))); aux42=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux41)); aux43=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux42)); aux44=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux43))); aux45=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux44))); aux46=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux45)); aux47=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux46))); aux48=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux47))); aux49=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux48))))-((b12**2)*(b33*b44)); aux50=((aux49-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux51=((0.+1.j)*((aux36-(b11*(b24*b33)))-(b13*(b14*b23))))/((aux50-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux52=(-0.5*(b34**2))+((0.25*b44)+((0.5*(b11*b44))+((0.5*(b33*b44))+(b11*(b33*b44))))); aux53=(-0.5*(b14**2))+((0.25*b33)+((0.5*(b11*b33))+((2.*(b13*(b14*b34)))+aux52))); aux54=((0.125+((0.25*b11)+((-0.5*(b13**2))+aux53)))-((b13**2)*b44))-(b11*(b34**2)); aux55=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux56=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux55)); aux57=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux56))); aux58=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux57))); aux59=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux58))); aux60=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux59)); aux61=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux60)); aux62=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux61))); aux63=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux62))); aux64=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux63)); aux65=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux64))); aux66=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux65))); aux67=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux66))))-((b12**2)*(b33*b44)); aux68=((aux67-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux69=(aux54-((b14**2)*b33))/((aux68-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); output=(0.25*(aux16-aux34))+(-0.25*(np.conjugate((aux51+aux69)))); return output def coeffscuadraticos23(V,B): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) aux0=(-0.5*(b12*b33))+((b14*(b24*b33))+((b12*(b34**2))+((-0.5*(b12*b44))+(b13*(b23*b44))))); aux1=(((-0.25*b12)+((0.5*(b13*b23))+((0.5*(b14*b24))+aux0)))-(b12*(b33*b44)))-(b13*(b24*b34)); aux2=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux3=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux2)); aux4=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux3))); aux5=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux4))); aux6=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux5))); aux7=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux6)); aux8=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux7)); aux9=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux8))); aux10=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux9))); aux11=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux10)); aux12=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux11))); aux13=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux12))); aux14=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux13))))-((b12**2)*(b33*b44)); aux15=((aux14-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux16=(aux1-(b14*(b23*b34)))/((aux15-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux17=(b11*(b23*b24))+((-0.25*b34)+((-0.5*(b11*b34))+(((b12**2)*b34)+(-0.5*(b22*b34))))); aux18=((0.5*(b13*b14))+((b13*(b14*b22))+((0.5*(b23*b24))+aux17)))-(b11*(b22*b34)); aux19=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux20=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux19)); aux21=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux20))); aux22=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux21))); aux23=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux22))); aux24=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux23)); aux25=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux24)); aux26=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux25))); aux27=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux26))); aux28=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux27)); aux29=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux28))); aux30=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux29))); aux31=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux30))))-((b12**2)*(b33*b44)); aux32=((aux31-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux33=((aux18-(b12*(b13*b24)))-(b12*(b14*b23)))/((aux32-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux34=((b14**2)*b23)+((0.5*(b24*b34))+((b11*(b24*b34))+((b12*(b13*b44))+(-0.5*(b23*b44))))); aux35=((0.5*(b12*b13))+((-0.25*b23)+((-0.5*(b11*b23))+aux34)))-(b11*(b23*b44)); aux36=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux37=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux36)); aux38=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux37))); aux39=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux38))); aux40=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux39))); aux41=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux40)); aux42=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux41)); aux43=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux42))); aux44=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux43))); aux45=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux44)); aux46=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux45))); aux47=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux46))); aux48=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux47))))-((b12**2)*(b33*b44)); aux49=((aux48-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux50=((aux35-(b12*(b14*b34)))-(b13*(b14*b24)))/((aux49-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux51=(-0.5*(v12*v33))+((v14*(v24*v33))+((v12*(v34**2))+((-0.5*(v12*v44))+(v13*(v23*v44))))); aux52=((-0.25*v12)+((0.5*(v13*v23))+((0.5*(v14*v24))+aux51)))-(v12*(v33*v44)); aux53=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux54=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux53)); aux55=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux54))); aux56=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux55))); aux57=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux56))); aux58=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux57)); aux59=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux58)); aux60=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux59))); aux61=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux60))); aux62=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux61)); aux63=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux62))); aux64=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux63))); aux65=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux64))))-((v12**2)*(v33*v44)); aux66=((aux65-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux67=((aux52-(v13*(v24*v34)))-(v14*(v23*v34)))/((aux66-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux68=(v11*(v23*v24))+((-0.25*v34)+((-0.5*(v11*v34))+(((v12**2)*v34)+(-0.5*(v22*v34))))); aux69=((0.5*(v13*v14))+((v13*(v14*v22))+((0.5*(v23*v24))+aux68)))-(v11*(v22*v34)); aux70=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux71=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux70)); aux72=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux71))); aux73=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux72))); aux74=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux73))); aux75=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux74)); aux76=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux75)); aux77=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux76))); aux78=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux77))); aux79=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux78)); aux80=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux79))); aux81=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux80))); aux82=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux81))))-((v12**2)*(v33*v44)); aux83=((aux82-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux84=((aux69-(v12*(v13*v24)))-(v12*(v14*v23)))/((aux83-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux85=((v14**2)*v23)+((0.5*(v24*v34))+((v11*(v24*v34))+((v12*(v13*v44))+(-0.5*(v23*v44))))); aux86=((0.5*(v12*v13))+((-0.25*v23)+((-0.5*(v11*v23))+aux85)))-(v11*(v23*v44)); aux87=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux88=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux87)); aux89=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux88))); aux90=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux89))); aux91=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux90))); aux92=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux91)); aux93=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux92)); aux94=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux93))); aux95=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux94))); aux96=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux95)); aux97=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux96))); aux98=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux97))); aux99=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux98))))-((v12**2)*(v33*v44)); aux100=((aux99-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux101=((aux86-(v12*(v14*v34)))-(v13*(v14*v24)))/((aux100-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); output=(0.5*(((0.+-0.5j)*(aux16-aux33))-aux50))+(0.5*(((0.+0.5j)*(aux67-aux84))-aux101)); return output def coeffscuadraticos24(V,B): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) aux0=(-0.5*(b34**2))+((0.25*b44)+((0.5*(b11*b44))+((0.5*(b33*b44))+(b11*(b33*b44))))); aux1=(-0.5*(b14**2))+((0.25*b33)+((0.5*(b11*b33))+((2.*(b13*(b14*b34)))+aux0))); aux2=((0.125+((0.25*b11)+((-0.5*(b13**2))+aux1)))-((b13**2)*b44))-(b11*(b34**2)); aux3=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux4=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux3)); aux5=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux4))); aux6=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux5))); aux7=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux6))); aux8=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux7)); aux9=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux8)); aux10=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux9))); aux11=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux10))); aux12=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux11)); aux13=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux12))); aux14=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux13))); aux15=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux14))))-((b12**2)*(b33*b44)); aux16=((aux15-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux17=(aux2-((b14**2)*b33))/((aux16-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux18=(-0.5*(b23**2))+((0.25*b33)+((0.5*(b11*b33))+((0.5*(b22*b33))+(b11*(b22*b33))))); aux19=(-0.5*(b13**2))+((0.25*b22)+((0.5*(b11*b22))+((2.*(b12*(b13*b23)))+aux18))); aux20=((0.125+((0.25*b11)+((-0.5*(b12**2))+aux19)))-((b12**2)*b33))-(b11*(b23**2)); aux21=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux22=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux21)); aux23=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux22))); aux24=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux23))); aux25=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux24))); aux26=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux25)); aux27=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux26)); aux28=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux27))); aux29=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux28))); aux30=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux29)); aux31=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux30))); aux32=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux31))); aux33=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux32))))-((b12**2)*(b33*b44)); aux34=((aux33-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux35=(aux20-((b13**2)*b22))/((aux34-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux36=((b13**2)*b24)+((b12*(b14*b33))+((-0.5*(b24*b33))+((0.5*(b23*b34))+(b11*(b23*b34))))); aux37=((0.5*(b12*b14))+((-0.25*b24)+((-0.5*(b11*b24))+aux36)))-(b12*(b13*b34)); aux38=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux39=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux38)); aux40=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux39))); aux41=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux40))); aux42=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux41))); aux43=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux42)); aux44=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux43)); aux45=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux44))); aux46=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux45))); aux47=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux46)); aux48=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux47))); aux49=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux48))); aux50=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux49))))-((b12**2)*(b33*b44)); aux51=((aux50-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux52=((aux37-(b11*(b24*b33)))-(b13*(b14*b23)))/((aux51-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux53=(-0.5*(v34**2))+((0.25*v44)+((0.5*(v11*v44))+((0.5*(v33*v44))+(v11*(v33*v44))))); aux54=(-0.5*(v14**2))+((0.25*v33)+((0.5*(v11*v33))+((2.*(v13*(v14*v34)))+aux53))); aux55=((0.125+((0.25*v11)+((-0.5*(v13**2))+aux54)))-((v13**2)*v44))-(v11*(v34**2)); aux56=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux57=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux56)); aux58=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux57))); aux59=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux58))); aux60=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux59))); aux61=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux60)); aux62=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux61)); aux63=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux62))); aux64=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux63))); aux65=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux64)); aux66=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux65))); aux67=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux66))); aux68=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux67))))-((v12**2)*(v33*v44)); aux69=((aux68-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux70=(aux55-((v14**2)*v33))/((aux69-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux71=(-0.5*(v23**2))+((0.25*v33)+((0.5*(v11*v33))+((0.5*(v22*v33))+(v11*(v22*v33))))); aux72=(-0.5*(v13**2))+((0.25*v22)+((0.5*(v11*v22))+((2.*(v12*(v13*v23)))+aux71))); aux73=((0.125+((0.25*v11)+((-0.5*(v12**2))+aux72)))-((v12**2)*v33))-(v11*(v23**2)); aux74=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux75=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux74)); aux76=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux75))); aux77=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux76))); aux78=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux77))); aux79=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux78)); aux80=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux79)); aux81=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux80))); aux82=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux81))); aux83=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux82)); aux84=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux83))); aux85=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux84))); aux86=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux85))))-((v12**2)*(v33*v44)); aux87=((aux86-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux88=(aux73-((v13**2)*v22))/((aux87-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux89=((v13**2)*v24)+((v12*(v14*v33))+((-0.5*(v24*v33))+((0.5*(v23*v34))+(v11*(v23*v34))))); aux90=((0.5*(v12*v14))+((-0.25*v24)+((-0.5*(v11*v24))+aux89)))-(v12*(v13*v34)); aux91=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux92=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux91)); aux93=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux92))); aux94=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux93))); aux95=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux94))); aux96=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux95)); aux97=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux96)); aux98=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux97))); aux99=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux98))); aux100=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux99)); aux101=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux100))); aux102=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux101))); aux103=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux102))))-((v12**2)*(v33*v44)); aux104=((aux103-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux105=((aux90-(v11*(v24*v33)))-(v13*(v14*v23)))/((aux104-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); output=(0.5*(((0.+-0.5j)*(aux17-aux35))-aux52))+(0.5*(((0.+0.5j)*(aux70-aux88))-aux105)); return output def coeffscuadraticos33(V,B): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) aux0=(v13*(v24**2))+((0.5*(v14*v34))+((v14*(v22*v34))+((-0.5*(v13*v44))+(v12*(v23*v44))))); aux1=((-0.25*v13)+((-0.5*(v13*v22))+((0.5*(v12*v23))+aux0)))-(v13*(v22*v44)); aux2=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux3=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux2)); aux4=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux3))); aux5=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux4))); aux6=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux5))); aux7=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux6)); aux8=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux7)); aux9=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux8))); aux10=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux9))); aux11=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux10)); aux12=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux11))); aux13=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux12))); aux14=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux13))))-((v12**2)*(v33*v44)); aux15=((aux14-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux16=((0.+1.j)*((aux1-(v12*(v24*v34)))-(v14*(v23*v24))))/((aux15-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux17=(-0.5*(v24**2))+((0.25*v44)+((0.5*(v11*v44))+((0.5*(v22*v44))+(v11*(v22*v44))))); aux18=(-0.5*(v14**2))+((0.25*v22)+((0.5*(v11*v22))+((2.*(v12*(v14*v24)))+aux17))); aux19=((0.125+((0.25*v11)+((-0.5*(v12**2))+aux18)))-((v12**2)*v44))-(v11*(v24**2)); aux20=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux21=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux20)); aux22=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux21))); aux23=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux22))); aux24=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux23))); aux25=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux24)); aux26=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux25)); aux27=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux26))); aux28=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux27))); aux29=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux28)); aux30=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux29))); aux31=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux30))); aux32=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux31))))-((v12**2)*(v33*v44)); aux33=((aux32-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux34=(aux19-((v14**2)*v22))/((aux33-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux35=(-0.5*(b24**2))+((0.25*b44)+((0.5*(b11*b44))+((0.5*(b22*b44))+(b11*(b22*b44))))); aux36=(-0.5*(b14**2))+((0.25*b22)+((0.5*(b11*b22))+((2.*(b12*(b14*b24)))+aux35))); aux37=((0.125+((0.25*b11)+((-0.5*(b12**2))+aux36)))-((b12**2)*b44))-(b11*(b24**2)); aux38=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux39=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux38)); aux40=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux39))); aux41=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux40))); aux42=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux41))); aux43=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux42)); aux44=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux43)); aux45=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux44))); aux46=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux45))); aux47=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux46)); aux48=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux47))); aux49=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux48))); aux50=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux49))))-((b12**2)*(b33*b44)); aux51=((aux50-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux52=(aux37-((b14**2)*b22))/((aux51-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux53=(b13*(b24**2))+((0.5*(b14*b34))+((b14*(b22*b34))+((-0.5*(b13*b44))+(b12*(b23*b44))))); aux54=((-0.25*b13)+((-0.5*(b13*b22))+((0.5*(b12*b23))+aux53)))-(b13*(b22*b44)); aux55=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux56=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux55)); aux57=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux56))); aux58=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux57))); aux59=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux58))); aux60=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux59)); aux61=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux60)); aux62=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux61))); aux63=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux62))); aux64=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux63)); aux65=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux64))); aux66=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux65))); aux67=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux66))))-((b12**2)*(b33*b44)); aux68=((aux67-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux69=((0.+-1.j)*((aux54-(b12*(b24*b34)))-(b14*(b23*b24))))/((aux68-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); output=(0.25*(aux16-aux34))+(-0.25*(np.conjugate((aux52+aux69)))); return output def coeffscuadraticos44(V,B): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) aux0=((v13**2)*v24)+((v12*(v14*v33))+((-0.5*(v24*v33))+((0.5*(v23*v34))+(v11*(v23*v34))))); aux1=((0.5*(v12*v14))+((-0.25*v24)+((-0.5*(v11*v24))+aux0)))-(v12*(v13*v34)); aux2=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux3=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux2)); aux4=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux3))); aux5=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux4))); aux6=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux5))); aux7=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux6)); aux8=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux7)); aux9=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux8))); aux10=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux9))); aux11=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux10)); aux12=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux11))); aux13=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux12))); aux14=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux13))))-((v12**2)*(v33*v44)); aux15=((aux14-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux16=((0.+1.j)*((aux1-(v11*(v24*v33)))-(v13*(v14*v23))))/((aux15-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux17=(-0.5*(v23**2))+((0.25*v33)+((0.5*(v11*v33))+((0.5*(v22*v33))+(v11*(v22*v33))))); aux18=(-0.5*(v13**2))+((0.25*v22)+((0.5*(v11*v22))+((2.*(v12*(v13*v23)))+aux17))); aux19=((0.125+((0.25*v11)+((-0.5*(v12**2))+aux18)))-((v12**2)*v33))-(v11*(v23**2)); aux20=(0.25*(v33*v44))+((0.5*(v11*(v33*v44)))+((0.5*(v22*(v33*v44)))+(v11*(v22*(v33*v44))))); aux21=(0.5*(v11*(v22*v44)))+((2.*(v12*(v13*(v23*v44))))+((-0.5*((v23**2)*v44))+aux20)); aux22=(0.25*(v11*v44))+((-0.5*((v12**2)*v44))+((-0.5*((v13**2)*v44))+((0.25*(v22*v44))+aux21))); aux23=(-0.5*(v11*(v34**2)))+(((v12**2)*(v34**2))+((-0.5*(v22*(v34**2)))+((0.125*v44)+aux22))); aux24=(-2.*(v12*(v13*(v24*v34))))+((v23*(v24*v34))+((2.*(v11*(v23*(v24*v34))))+((-0.25*(v34**2))+aux23))); aux25=(v13*(v14*v34))+((2.*(v13*(v14*(v22*v34))))+((-2.*(v12*(v14*(v23*v34))))+aux24)); aux26=(0.5*(v11*(v22*v33)))+((2.*(v12*(v14*(v24*v33))))+((-0.5*((v24**2)*v33))+aux25)); aux27=(0.25*(v11*v33))+((-0.5*((v12**2)*v33))+((-0.5*((v14**2)*v33))+((0.25*(v22*v33))+aux26))); aux28=(-0.25*(v24**2))+((-0.5*(v11*(v24**2)))+(((v13**2)*(v24**2))+((0.125*v33)+aux27))); aux29=((v14**2)*(v23**2))+((v12*(v14*v24))+((-2.*(v13*(v14*(v23*v24))))+aux28)); aux30=(-0.5*((v14**2)*v22))+((v12*(v13*v23))+((-0.25*(v23**2))+((-0.5*(v11*(v23**2)))+aux29))); aux31=(-0.25*(v14**2))+((0.125*v22)+((0.25*(v11*v22))+((-0.5*((v13**2)*v22))+aux30))); aux32=(0.0625+((0.125*v11)+((-0.25*(v12**2))+((-0.25*(v13**2))+aux31))))-((v12**2)*(v33*v44)); aux33=((aux32-(v11*((v23**2)*v44)))-((v13**2)*(v22*v44)))-(v11*(v22*(v34**2))); aux34=(aux19-((v13**2)*v22))/((aux33-(v11*((v24**2)*v33)))-((v14**2)*(v22*v33))); aux35=(-0.5*(b23**2))+((0.25*b33)+((0.5*(b11*b33))+((0.5*(b22*b33))+(b11*(b22*b33))))); aux36=(-0.5*(b13**2))+((0.25*b22)+((0.5*(b11*b22))+((2.*(b12*(b13*b23)))+aux35))); aux37=((0.125+((0.25*b11)+((-0.5*(b12**2))+aux36)))-((b12**2)*b33))-(b11*(b23**2)); aux38=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux39=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux38)); aux40=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux39))); aux41=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux40))); aux42=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux41))); aux43=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux42)); aux44=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux43)); aux45=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux44))); aux46=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux45))); aux47=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux46)); aux48=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux47))); aux49=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux48))); aux50=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux49))))-((b12**2)*(b33*b44)); aux51=((aux50-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux52=(aux37-((b13**2)*b22))/((aux51-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); aux53=((b13**2)*b24)+((b12*(b14*b33))+((-0.5*(b24*b33))+((0.5*(b23*b34))+(b11*(b23*b34))))); aux54=((0.5*(b12*b14))+((-0.25*b24)+((-0.5*(b11*b24))+aux53)))-(b12*(b13*b34)); aux55=(0.25*(b33*b44))+((0.5*(b11*(b33*b44)))+((0.5*(b22*(b33*b44)))+(b11*(b22*(b33*b44))))); aux56=(0.5*(b11*(b22*b44)))+((2.*(b12*(b13*(b23*b44))))+((-0.5*((b23**2)*b44))+aux55)); aux57=(0.25*(b11*b44))+((-0.5*((b12**2)*b44))+((-0.5*((b13**2)*b44))+((0.25*(b22*b44))+aux56))); aux58=(-0.5*(b11*(b34**2)))+(((b12**2)*(b34**2))+((-0.5*(b22*(b34**2)))+((0.125*b44)+aux57))); aux59=(-2.*(b12*(b13*(b24*b34))))+((b23*(b24*b34))+((2.*(b11*(b23*(b24*b34))))+((-0.25*(b34**2))+aux58))); aux60=(b13*(b14*b34))+((2.*(b13*(b14*(b22*b34))))+((-2.*(b12*(b14*(b23*b34))))+aux59)); aux61=(0.5*(b11*(b22*b33)))+((2.*(b12*(b14*(b24*b33))))+((-0.5*((b24**2)*b33))+aux60)); aux62=(0.25*(b11*b33))+((-0.5*((b12**2)*b33))+((-0.5*((b14**2)*b33))+((0.25*(b22*b33))+aux61))); aux63=(-0.25*(b24**2))+((-0.5*(b11*(b24**2)))+(((b13**2)*(b24**2))+((0.125*b33)+aux62))); aux64=((b14**2)*(b23**2))+((b12*(b14*b24))+((-2.*(b13*(b14*(b23*b24))))+aux63)); aux65=(-0.5*((b14**2)*b22))+((b12*(b13*b23))+((-0.25*(b23**2))+((-0.5*(b11*(b23**2)))+aux64))); aux66=(-0.25*(b14**2))+((0.125*b22)+((0.25*(b11*b22))+((-0.5*((b13**2)*b22))+aux65))); aux67=(0.0625+((0.125*b11)+((-0.25*(b12**2))+((-0.25*(b13**2))+aux66))))-((b12**2)*(b33*b44)); aux68=((aux67-(b11*((b23**2)*b44)))-((b13**2)*(b22*b44)))-(b11*(b22*(b34**2))); aux69=((0.+-1.j)*((aux54-(b11*(b24*b33)))-(b13*(b14*b23))))/((aux68-(b11*((b24**2)*b33)))-((b14**2)*(b22*b33))); output=(0.25*(aux16-aux34))+(-0.25*(np.conjugate((aux52+aux69)))); return output def lineal1(V,B,R,S): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) r1,r2,r3,r4=R[0],R[1],R[2],R[3] s1,s2,s3,s4=S[0],S[1],S[2],S[3] aux0=(2.*b33)+(((0.+-8.j)*(b24*b33))+((b22*(2.+(4.*b33)))+((0.+8.j)*(b23*b34)))); aux1=((0.+-2.j)*(b14*b34))+(((0.+-2.j)*(b23*b34))+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))); aux2=b13+(b24+((2.*(b24*b33))+((2.*(b13*b44))+((0.+-1.j)*(1.+((2.*b33)+aux1)))))); aux3=(2.*(b23*b44))+((4.*(b11*(b23*b44)))+(((0.+-8.j)*(b13*(b23*b44)))+(-2.*(b12*aux2)))); aux4=(b14*(1.+((-4.*(b23**2))+(((0.+-4.j)*b24)+((4.*(b13*b24))+aux0)))))+aux3; aux5=(-2.*(b24*b34))+((-4.*(b11*(b24*b34)))+(((0.+8.j)*(b13*(b24*b34)))+aux4)); aux6=(-4.*((b14**2)*b23))+((4.*(b13*(b23*b24)))+((-2.*(b13*b34))+((-4.*(b13*(b22*b34)))+aux5))); aux7=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux8=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux9=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux8))); aux10=(16.*(b12*aux7))+(2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux9)))))); aux11=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+aux10; aux12=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux11))); aux13=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux12))); aux14=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux13)); aux15=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux14)); aux16=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux15))); aux17=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux16)); aux18=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux17))); aux19=((0.+2.j)*((b23+((2.*(b11*b23))+(((0.+-4.j)*(b13*b23))+aux6)))*s2))/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux18))); aux20=(b14*((-2.*(b23*b24))+(b34+(2.*(b22*b34)))))+(b12*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux21=(-4.*((b23**2)*b44))+((2.*(b33*b44))+((4.*(b22*(b33*b44)))+((b12**2)*(2.+(4.*b44))))); aux22=(-4.*((b24**2)*b33))+((8.*(b23*(b24*b34)))+((-2.*(b34**2))+((-4.*(b22*(b34**2)))+aux21))); aux23=(4.*((b14**2)*b22))+((-2.*(b23**2))+((-8.*(b12*(b14*b24)))+(b33+((2.*(b22*b33))+aux22)))); aux24=((2.*(b14**2))+aux23)-(b11*(1.+((-4.*(b24**2))+((2.*b44)+(b22*(2.+(4.*b44))))))); aux25=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux26=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux27=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux26))); aux28=-2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux27))))); aux29=(4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((-16.*(b12*aux25))+aux28); aux30=(16.*((b13**2)*(b22*b44)))+((8.*((b23**2)*b44))+((-4.*(b33*b44))+((-8.*(b22*(b33*b44)))+aux29))); aux31=(8.*(b22*(b34**2)))+((-2.*b44)+((8.*((b13**2)*b44))+((-4.*(b22*b44))+aux30))); aux32=(-32.*(b13*(b14*(b22*b34))))+((-16.*(b23*(b24*b34)))+((4.*(b34**2))+aux31)); aux33=(16.*((b14**2)*(b22*b33)))+((8.*((b24**2)*b33))+((-16.*(b13*(b14*b34)))+aux32)); aux34=(-16.*((b13**2)*(b24**2)))+((-2.*b33)+((8.*((b14**2)*b33))+((-4.*(b22*b33))+aux33))); aux35=(-16.*((b14**2)*(b23**2)))+((32.*(b13*(b14*(b23*b24))))+((4.*(b24**2))+aux34)); aux36=(-2.*b22)+((8.*((b13**2)*b22))+((8.*((b14**2)*b22))+((4.*(b23**2))+aux35))); aux37=((0.+2.j)*aux24)+((0.+1.j)*(-1.+((4.*(b13**2))+((4.*(b14**2))+aux36)))); aux38=(-4.*(b13*(1.+((-4.*(b24**2))+((2.*b44)+(b22*(2.+(4.*b44))))))))+((8.*aux20)+aux37); aux39=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux40=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux41=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux40))); aux42=(16.*(b12*aux39))+(2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux41)))))); aux43=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+aux42; aux44=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux43))); aux45=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux44))); aux46=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux45)); aux47=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux46)); aux48=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux47))); aux49=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux48)); aux50=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux49))); aux51=(b13*((-2.*(b23*b24))+(b34+(2.*(b22*b34)))))+(b12*(b24+((2.*(b24*b33))+(-2.*(b23*b34))))); aux52=-2.*(b13*((b14+((2.*(b14*b22))+((2.*(b24*b34))+(-2.*(b23*b44)))))-b23)); aux53=(4.*(b14*b23))+((4.*(b13*b24))+((-2.*b33)+((4.*(b34**2))+((-2.*b44)+(-4.*(b33*b44)))))); aux54=(2.*(b22*b34))+((4.*(b11*(b22*b34)))+((-4.*(b14*(b23*b34)))+(aux52+(b12*(-1.+aux53))))); aux55=(4.*(b14*(b24*b33)))+(b34+((2.*(b11*b34))+((-4.*((b12**2)*b34))+aux54))); aux56=(0.+2.j)*((2.*(b14*b24))+((-2.*(b23*b24))+((-4.*(b11*(b23*b24)))+aux55))); aux57=(-4.*(b14*(1.+((-4.*(b23**2))+((2.*b33)+(b22*(2.+(4.*b33))))))))+((8.*aux51)+aux56); aux58=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux59=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux60=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux59))); aux61=(16.*(b12*aux58))+(2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux60)))))); aux62=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+aux61; aux63=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux62))); aux64=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux63))); aux65=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux64)); aux66=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux65)); aux67=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux66))); aux68=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux67)); aux69=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux68))); aux70=(-8.*(v11*(v33*v44)))+((16.*((v12**2)*(v33*v44)))+(-16.*(v11*(v22*(v33*v44))))); aux71=((0.+16.j)*(v12*(v23*v44)))+((-32.*(v12*(v13*(v23*v44))))+((16.*(v11*((v23**2)*v44)))+aux70)); aux72=(-16.*(v11*(v22*v44)))+(((0.+-16.j)*(v13*(v22*v44)))+((16.*((v13**2)*(v22*v44)))+aux71)); aux73=(16.*((v12**2)*v44))+(((0.+-8.j)*(v13*v44))+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux72))); aux74=(-16.*((v12**2)*(v34**2)))+((16.*(v11*(v22*(v34**2))))+((-2.*v44)+((-8.*(v11*v44))+aux73))); aux75=(32.*(v12*(v13*(v24*v34))))+((-32.*(v11*(v23*(v24*v34))))+((8.*(v11*(v34**2)))+aux74)); aux76=(-32.*(v13*(v14*(v22*v34))))+((32.*(v12*(v14*(v23*v34))))+(((0.+-16.j)*(v12*(v24*v34)))+aux75)); aux77=((0.+8.j)*(v14*v34))+((-16.*(v13*(v14*v34)))+(((0.+16.j)*(v14*(v22*v34)))+aux76)); aux78=(16.*((v14**2)*(v22*v33)))+((-32.*(v12*(v14*(v24*v33))))+((16.*(v11*((v24**2)*v33)))+aux77)); aux79=(8.*((v12**2)*v33))+((8.*((v14**2)*v33))+((-8.*(v11*(v22*v33)))+aux78)); aux80=((0.+16.j)*(v13*(v24**2)))+((-16.*((v13**2)*(v24**2)))+((-4.*(v11*v33))+aux79)); aux81=(32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+((16.*(v11*(v24**2)))+aux80)); aux82=(-16.*((v14**2)*(v23**2)))+((-32.*(v12*(v14*v24)))+(((0.+-16.j)*(v14*(v23*v24)))+aux81)); aux83=((0.+8.j)*(v12*v23))+((-16.*(v12*(v13*v23)))+((8.*(v11*(v23**2)))+aux82)); aux84=((0.+-8.j)*(v13*v22))+((8.*((v13**2)*v22))+((16.*((v14**2)*v22))+aux83)); aux85=((0.+-4.j)*v13)+((4.*(v13**2))+((8.*(v14**2))+((-2.*v22)+((-8.*(v11*v22))+aux84)))); aux86=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux87=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux88=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux87))); aux89=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux88))))); aux90=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux86))+aux89); aux91=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux90))); aux92=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux91))); aux93=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux92)); aux94=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux93)); aux95=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux94))); aux96=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux95)); aux97=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux96))); aux98=((0.+1.j)*(r3*(-1.+((-4.*v11)+((8.*(v12**2))+aux85)))))/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux97))); aux99=((0.+-16.j)*((v12**2)*(v33*v44)))+(((0.+24.j)*(v22*(v33*v44)))+((0.+16.j)*(v11*(v22*(v33*v44))))); aux100=((0.+-16.j)*(v11*((v23**2)*v44)))+(((0.+12.j)*(v33*v44))+(((0.+8.j)*(v11*(v33*v44)))+aux99)); aux101=(-16.*(v12*(v23*v44)))+(((0.+32.j)*(v12*(v13*(v23*v44))))+(((0.+-24.j)*((v23**2)*v44))+aux100)); aux102=((0.+8.j)*(v11*(v22*v44)))+((16.*(v13*(v22*v44)))+(((0.+-16.j)*((v13**2)*(v22*v44)))+aux101)); aux103=(8.*(v13*v44))+(((0.+-8.j)*((v13**2)*v44))+(((0.+12.j)*(v22*v44))+aux102)); aux104=((0.+6.j)*v44)+(((0.+4.j)*(v11*v44))+(((0.+-8.j)*((v12**2)*v44))+aux103)); aux105=((0.+16.j)*((v12**2)*(v34**2)))+(((0.+-24.j)*(v22*(v34**2)))+(((0.+-16.j)*(v11*(v22*(v34**2))))+aux104)); aux106=((0.+32.j)*(v11*(v23*(v24*v34))))+(((0.+-12.j)*(v34**2))+(((0.+-8.j)*(v11*(v34**2)))+aux105)); aux107=((0.+-32.j)*(v12*(v13*(v24*v34))))+(((0.+48.j)*(v23*(v24*v34)))+aux106); aux108=((0.+32.j)*(v13*(v14*(v22*v34))))+(((0.+-32.j)*(v12*(v14*(v23*v34))))+((16.*(v12*(v24*v34)))+aux107)); aux109=(-8.*(v14*v34))+(((0.+16.j)*(v13*(v14*v34)))+((-16.*(v14*(v22*v34)))+aux108)); aux110=((0.+32.j)*(v12*(v14*(v24*v33))))+(((0.+-24.j)*((v24**2)*v33))+(((0.+-16.j)*(v11*((v24**2)*v33)))+aux109)); aux111=((0.+12.j)*(v22*v33))+(((0.+8.j)*(v11*(v22*v33)))+(((0.+-16.j)*((v14**2)*(v22*v33)))+aux110)); aux112=((0.+4.j)*(v11*v33))+(((0.+-8.j)*((v12**2)*v33))+(((0.+-8.j)*((v14**2)*v33))+aux111)); aux113=(-16.*(v13*(v24**2)))+(((0.+16.j)*((v13**2)*(v24**2)))+(((0.+6.j)*v33)+aux112)); aux114=((0.+-32.j)*(v13*(v14*(v23*v24))))+(((0.+-12.j)*(v24**2))+(((0.+-8.j)*(v11*(v24**2)))+aux113)); aux115=((0.+16.j)*((v14**2)*(v23**2)))+(((0.+16.j)*(v12*(v14*v24)))+((16.*(v14*(v23*v24)))+aux114)); aux116=((0.+16.j)*(v12*(v13*v23)))+(((0.+-12.j)*(v23**2))+(((0.+-8.j)*(v11*(v23**2)))+aux115)); aux117=((0.+-8.j)*((v13**2)*v22))+(((0.+-8.j)*((v14**2)*v22))+((-8.*(v12*v23))+aux116)); aux118=((0.+-4.j)*(v14**2))+(((0.+6.j)*v22)+(((0.+4.j)*(v11*v22))+((8.*(v13*v22))+aux117))); aux119=((0.+2.j)*v11)+(((0.+-4.j)*(v12**2))+((4.*v13)+(((0.+-4.j)*(v13**2))+aux118))); aux120=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux121=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux122=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux121))); aux123=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux122))))); aux124=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux120))+aux123); aux125=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux124))); aux126=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux125))); aux127=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux126)); aux128=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux127)); aux129=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux128))); aux130=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux129)); aux131=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux130))); aux132=((0.+1.j)*(r1*((0.+3.j)+aux119)))/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux131))); aux133=(-8.*(v11*(v23*v44)))+(((0.+-16.j)*(v13*(v23*v44)))+((0.+16.j)*(v12*(v33*v44)))); aux134=((0.+-16.j)*(v12*(v34**2)))+(((0.+8.j)*(v12*v44))+((8.*(v12*(v13*v44)))+((-4.*(v23*v44))+aux133))); aux135=(4.*(v24*v34))+((8.*(v11*(v24*v34)))+(((0.+16.j)*(v13*(v24*v34)))+aux134)); aux136=(8.*(v13*(v22*v34)))+((-8.*(v12*(v23*v34)))+(((0.+16.j)*(v14*(v23*v34)))+aux135)); aux137=((0.+-16.j)*(v14*(v24*v33)))+((4.*(v13*v34))+((-8.*(v12*(v14*v34)))+aux136)); aux138=((0.+8.j)*(v12*v33))+((-4.*(v14*v33))+((-8.*(v14*(v22*v33)))+((8.*(v12*(v24*v33)))+aux137))); aux139=((0.+-8.j)*(v14*v24))+((-8.*(v13*(v14*v24)))+((-8.*(v13*(v23*v24)))+aux138)); aux140=((0.+-8.j)*(v13*v23))+((8.*((v14**2)*v23))+((8.*(v14*(v23**2)))+((4.*(v12*v24))+aux139))); aux141=(4.*(v12*v13))+((-2.*v14)+((-4.*(v14*v22))+((-2.*v23)+((-4.*(v11*v23))+aux140)))); aux142=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux143=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux144=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux143))); aux145=2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux144))))); aux146=(-4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((16.*(v12*aux142))+aux145); aux147=(-16.*((v13**2)*(v22*v44)))+((-8.*((v23**2)*v44))+((4.*(v33*v44))+((8.*(v22*(v33*v44)))+aux146))); aux148=(-8.*(v22*(v34**2)))+((2.*v44)+((-8.*((v13**2)*v44))+((4.*(v22*v44))+aux147))); aux149=(32.*(v13*(v14*(v22*v34))))+((16.*(v23*(v24*v34)))+((-4.*(v34**2))+aux148)); aux150=(-16.*((v14**2)*(v22*v33)))+((-8.*((v24**2)*v33))+((16.*(v13*(v14*v34)))+aux149)); aux151=(16.*((v13**2)*(v24**2)))+((2.*v33)+((-8.*((v14**2)*v33))+((4.*(v22*v33))+aux150))); aux152=(16.*((v14**2)*(v23**2)))+((-32.*(v13*(v14*(v23*v24))))+((-4.*(v24**2))+aux151)); aux153=(2.*v22)+((-8.*((v13**2)*v22))+((-8.*((v14**2)*v22))+((-4.*(v23**2))+aux152))); aux154=((0.+1.j)*(r2*(((0.+4.j)*v12)+aux141)))/(1.+((-4.*(v13**2))+((-4.*(v14**2))+aux153))); aux155=(-8.*(v12*(v34**2)))+((4.*(v12*v44))+((-8.*(v13*(v23*v44)))+(8.*(v12*(v33*v44))))); aux156=((0.+16.j)*(v12*(v23*v34)))+((8.*(v14*(v23*v34)))+((8.*(v13*(v24*v34)))+aux155)); aux157=(-4.*(v22*v34))+((-8.*(v11*(v22*v34)))+(((0.+-16.j)*(v13*(v22*v34)))+aux156)); aux158=(-2.*v34)+((-4.*(v11*v34))+((8.*((v12**2)*v34))+(((0.+-8.j)*(v13*v34))+aux157))); aux159=((0.+16.j)*(v14*(v22*v33)))+(((0.+-16.j)*(v12*(v24*v33)))+((-8.*(v14*(v24*v33)))+aux158)); aux160=((0.+16.j)*(v13*(v23*v24)))+((4.*(v12*v33))+(((0.+8.j)*(v14*v33))+aux159)); aux161=(-8.*(v12*(v13*v24)))+((-4.*(v14*v24))+((4.*(v23*v24))+((8.*(v11*(v23*v24)))+aux160))); aux162=(-8.*(v12*(v14*v23)))+(((0.+-16.j)*(v14*(v23**2)))+(((0.+-8.j)*(v12*v24))+aux161)); aux163=(4.*(v13*v14))+(((0.+8.j)*(v14*v22))+((8.*(v13*(v14*v22)))+((-4.*(v13*v23))+aux162))); aux164=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux165=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux166=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux165))); aux167=2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux166))))); aux168=(-4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((16.*(v12*aux164))+aux167); aux169=(-16.*((v13**2)*(v22*v44)))+((-8.*((v23**2)*v44))+((4.*(v33*v44))+((8.*(v22*(v33*v44)))+aux168))); aux170=(-8.*(v22*(v34**2)))+((2.*v44)+((-8.*((v13**2)*v44))+((4.*(v22*v44))+aux169))); aux171=(32.*(v13*(v14*(v22*v34))))+((16.*(v23*(v24*v34)))+((-4.*(v34**2))+aux170)); aux172=(-16.*((v14**2)*(v22*v33)))+((-8.*((v24**2)*v33))+((16.*(v13*(v14*v34)))+aux171)); aux173=(16.*((v13**2)*(v24**2)))+((2.*v33)+((-8.*((v14**2)*v33))+((4.*(v22*v33))+aux172))); aux174=(16.*((v14**2)*(v23**2)))+((-32.*(v13*(v14*(v23*v24))))+((-4.*(v24**2))+aux173)); aux175=(2.*v22)+((-8.*((v13**2)*v22))+((-8.*((v14**2)*v22))+((-4.*(v23**2))+aux174))); aux176=((0.+1.j)*(r4*((2.*v12)+(((0.+4.j)*v14)+aux163))))/(1.+((-4.*(v13**2))+((-4.*(v14**2))+aux175))); aux177=v23*((0.+-1.j)+((-4.*(v14*v34))+(((0.+-2.j)*v44)+(v13*(2.+(4.*v44)))))); aux178=v12*((2.*(v24*(v14+((2.*(v14*v33))+(((0.+1.j)+(-2.*v13))*v34)))))+aux177); aux179=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux180=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux179))); aux181=2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux180))))); aux182=(-4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((8.*aux178)+aux181); aux183=(-16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux182))); aux184=(-8.*((v13**2)*v44))+((-4.*(v22*v44))+(((0.+16.j)*(v13*(v22*v44)))+aux183)); aux185=(4.*(v34**2))+((8.*(v22*(v34**2)))+((-2.*v44)+(((0.+8.j)*(v13*v44))+aux184))); aux186=((0.+-16.j)*(v14*(v22*v34)))+((32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+aux185)); aux187=(8.*((v24**2)*v33))+(((0.+-8.j)*(v14*v34))+((16.*(v13*(v14*v34)))+aux186)); aux188=(-8.*((v14**2)*v33))+((-4.*(v22*v33))+((-16.*((v14**2)*(v22*v33)))+aux187)); aux189=((0.+-16.j)*(v13*(v24**2)))+((16.*((v13**2)*(v24**2)))+((-2.*v33)+aux188)); aux190=((0.+16.j)*(v14*(v23*v24)))+((-32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux189)); aux191=(-8.*((v14**2)*v22))+((4.*(v23**2))+((16.*((v14**2)*(v23**2)))+aux190)); aux192=(-4.*(v14**2))+((-2.*v22)+(((0.+8.j)*(v13*v22))+((-8.*((v13**2)*v22))+aux191))); aux193=(-2.*((v23**2)*(1.+(2.*v44))))+(2.*(v22*(1.+(v33+((-2.*(v34**2))+((2.*v44)+(2.*(v33*v44)))))))); aux194=(8.*(v23*(v24*v34)))+((-2.*(v34**2))+((2.*v44)+((2.*(v33*v44))+aux193))); aux195=v23*((0.+-1.j)+((-4.*(v14*v34))+(((0.+-2.j)*v44)+(v13*(2.+(4.*v44)))))); aux196=v12*((2.*(v24*((2.*(v14*(1.+v33)))+(((0.+1.j)+(-2.*v13))*v34))))+aux195); aux197=(-4.*(v11*(1.+((-4.*(v24**2))+(v33+((-4.*((v24**2)*v33))+aux194))))))+(-8.*aux196); aux198=(8.*((v12**2)*(1.+(v33+((-2.*(v34**2))+((2.*v44)+(2.*(v33*v44))))))))+aux197; aux199=(-4.*(v22*v44))+(((0.+-16.j)*(v13*(v22*v44)))+((16.*((v13**2)*(v22*v44)))+aux198)); aux200=(-32.*(v13*(v14*(v22*v34))))+((-2.*v44)+(((0.+-8.j)*(v13*v44))+((8.*((v13**2)*v44))+aux199))); aux201=((0.+8.j)*(v14*v34))+((-16.*(v13*(v14*v34)))+(((0.+16.j)*(v14*(v22*v34)))+aux200)); aux202=(-16.*((v13**2)*(v24**2)))+((8.*((v14**2)*v33))+((16.*((v14**2)*(v22*v33)))+aux201)); aux203=(32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+(((0.+16.j)*(v13*(v24**2)))+aux202)); aux204=(16.*((v14**2)*v22))+((-16.*((v14**2)*(v23**2)))+(((0.+-16.j)*(v14*(v23*v24)))+aux203)); aux205=(8.*(v14**2))+((-2.*v22)+(((0.+-8.j)*(v13*v22))+((8.*((v13**2)*v22))+aux204))); aux206=((0.+2.j)*v33)+((-2.*(v24*v33))+(((0.+2.j)*(v22*(1.+(2.*v33))))+(2.*(v23*v34)))); aux207=v14*(((0.+1.j)+(v13+((2.*(v13*v22))+(((0.+-4.j)*(v23**2))+aux206))))-v24); aux208=(-2.*v33)+(((0.+-8.j)*(v23*v34))+((4.*(v34**2))+((-2.*v44)+(-4.*(v33*v44))))); aux209=-1.+((4.*(v14*v23))+((4.*(v24*((0.+1.j)+(v13+((0.+2.j)*v33)))))+aux208)); aux210=(-4.*(v13*(v24*v34)))+((-2.*aux207)+((4.*(v13*(v23*v44)))+(v12*aux209))); aux211=(2.*(v22*v34))+((4.*(v11*(v22*v34)))+(((0.+8.j)*(v13*(v22*v34)))+aux210)); aux212=v34+((2.*(v11*v34))+((-4.*((v12**2)*v34))+(((0.+4.j)*(v13*v34))+aux211))); aux213=(-2.*(v23*v24))+((-4.*(v11*(v23*v24)))+(((0.+-8.j)*(v13*(v23*v24)))+aux212)); aux214=(2.*v33)+(((0.+8.j)*(v24*v33))+((v22*(2.+(4.*v33)))+((0.+-8.j)*(v23*v34)))); aux215=((0.+2.j)*(v14*v34))+(((0.+2.j)*(v23*v34))+((-4.*(v34**2))+((2.*v44)+(4.*(v33*v44))))); aux216=v24+((2.*(v24*v33))+((2.*(v13*v44))+((0.+1.j)*(1.+((2.*v33)+aux215))))); aux217=(4.*(v11*(v23*v44)))+(((0.+8.j)*(v13*(v23*v44)))+(-2.*(v12*(v13+aux216)))); aux218=(v14*(1.+((-4.*(v23**2))+(((0.+4.j)*v24)+((4.*(v13*v24))+aux214)))))+((2.*(v23*v44))+aux217); aux219=(-2.*(v24*v34))+((-4.*(v11*(v24*v34)))+(((0.+-8.j)*(v13*(v24*v34)))+aux218)); aux220=(-4.*((v14**2)*v23))+((4.*(v13*(v23*v24)))+((-2.*(v13*v34))+((-4.*(v13*(v22*v34)))+aux219))); aux221=(r4*((2.*(v13*v23))+aux213))+(r2*(v23+((2.*(v11*v23))+(((0.+4.j)*(v13*v23))+aux220)))); aux222=(0.+1.j)*((r3*(-1.+(((0.+-4.j)*v13)+((4.*(v13**2))+aux205))))+(2.*aux221)); aux223=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux224=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux225=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux224))); aux226=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux225))))); aux227=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux223))+aux226); aux228=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux227))); aux229=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux228))); aux230=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux229)); aux231=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux230)); aux232=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux231))); aux233=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux232)); aux234=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux233))); aux235=((r1*(-1.+(((0.+4.j)*v13)+((-4.*(v13**2))+aux192))))+aux222)/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux234))); aux236=1.+(((0.+4.j)*(b14*b34))+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44)))))); aux237=((0.+-1.j)*(b13*(1.+((-4.*(b24**2))+((2.*b44)+(b22*(2.+(4.*b44))))))))+(b22*aux236); aux238=((0.+2.j)*(b14*b34))+(((0.+2.j)*(b12*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))))+aux237); aux239=(-4.*((b23**2)*b44))+((2.*(b33*b44))+(np.conjugate((((0.+-4.j)*(b14*(b23*b24)))+aux238)))); aux240=(8.*(b34**2))+((-4.*b44)+(-4.*((-4.*((b24**2)*b33))+((8.*(b23*(b24*b34)))+aux239)))); aux241=-2.*((b12**2)*(1.+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))))); aux242=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux243=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux244=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux243))); aux245=(8.*(b12*aux242))+(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux244))))); aux246=(-4.*((b23**2)*b44))+((2.*(b33*b44))+((4.*(b22*(b33*b44)))+(aux241+aux245))); aux247=(-4.*((b13**2)*b44))+((2.*(b22*b44))+((-8.*((b13**2)*(b22*b44)))+aux246)); aux248=(16.*(b13*(b14*(b22*b34))))+((8.*(b23*(b24*b34)))+((-4.*(b22*(b34**2)))+aux247)); aux249=(-8.*((b14**2)*(b22*b33)))+((-4.*((b24**2)*b33))+((8.*(b13*(b14*b34)))+aux248)); aux250=(8.*((b13**2)*(b24**2)))+((-4.*((b14**2)*b33))+((2.*(b22*b33))+aux249)); aux251=(-4.*((b14**2)*b22))+((8.*((b14**2)*(b23**2)))+((-16.*(b13*(b14*(b23*b24))))+aux250)); aux252=(-2.*b33)+((4.*(b34**2))+((-2.*b44)+(-2.*((-4.*((b13**2)*b22))+aux251)))); aux253=(4.*(b13**2))+((4.*(b14**2))+((-2.*b22)+((4.*(b23**2))+((4.*(b24**2))+aux252)))); aux254=1.+((-2.+((8.*(b23**2))+((8.*(b24**2))+((-4.*b33)+aux240))))/(-1.+aux253)); aux255=(2.*b33)+(((0.+-8.j)*(b24*b33))+((b22*(2.+(4.*b33)))+((0.+8.j)*(b23*b34)))); aux256=((0.+-2.j)*(b14*b34))+(((0.+-2.j)*(b23*b34))+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))); aux257=b24+((2.*(b24*b33))+((2.*(b13*b44))+((0.+-1.j)*(1.+((2.*b33)+aux256))))); aux258=(4.*(b11*(b23*b44)))+(((0.+-8.j)*(b13*(b23*b44)))+(-2.*(b12*(b13+aux257)))); aux259=(b14*(1.+((-4.*(b23**2))+(((0.+-4.j)*b24)+((4.*(b13*b24))+aux255)))))+((2.*(b23*b44))+aux258); aux260=(-2.*(b24*b34))+((-4.*(b11*(b24*b34)))+(((0.+8.j)*(b13*(b24*b34)))+aux259)); aux261=(-4.*((b14**2)*b23))+((4.*(b13*(b23*b24)))+((-2.*(b13*b34))+((-4.*(b13*(b22*b34)))+aux260))); aux262=(-2.*((b23**2)*(1.+(2.*b44))))+(2.*(b22*(1.+(b33+((-2.*(b34**2))+((2.*b44)+(2.*(b33*b44)))))))); aux263=(8.*(b23*(b24*b34)))+((-2.*(b34**2))+((2.*b44)+((2.*(b33*b44))+aux262))); aux264=(-2.*(((0.+1.j)+(2.*b13))*(b24*b34)))+(b23*((0.+1.j)+((-4.*(b14*b34))+(((0.+2.j)*b44)+(b13*(2.+(4.*b44))))))); aux265=(4.*(b11*(1.+((-4.*(b24**2))+(b33+((-4.*((b24**2)*b33))+aux263))))))+(8.*(b12*((4.*(b14*(b24*(1.+b33))))+aux264))); aux266=(-8.*((b12**2)*(1.+(b33+((-2.*(b34**2))+((2.*b44)+(2.*(b33*b44))))))))+aux265; aux267=(4.*(b22*b44))+(((0.+-16.j)*(b13*(b22*b44)))+((-16.*((b13**2)*(b22*b44)))+aux266)); aux268=(32.*(b13*(b14*(b22*b34))))+((2.*b44)+(((0.+-8.j)*(b13*b44))+((-8.*((b13**2)*b44))+aux267))); aux269=((0.+8.j)*(b14*b34))+((16.*(b13*(b14*b34)))+(((0.+16.j)*(b14*(b22*b34)))+aux268)); aux270=(16.*((b13**2)*(b24**2)))+((-8.*((b14**2)*b33))+((-16.*((b14**2)*(b22*b33)))+aux269)); aux271=(-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+(((0.+16.j)*(b13*(b24**2)))+aux270)); aux272=(-16.*((b14**2)*b22))+((16.*((b14**2)*(b23**2)))+(((0.+-16.j)*(b14*(b23*b24)))+aux271)); aux273=(-8.*(b14**2))+((2.*b22)+(((0.+-8.j)*(b13*b22))+((-8.*((b13**2)*b22))+aux272))); aux274=((0.+2.j)*b33)+((2.*(b24*b33))+(((0.+2.j)*(b22*(1.+(2.*b33))))+(-2.*(b23*b34)))); aux275=b14*(((0.+1.j)+(((0.+-4.j)*(b23**2))+(b24+aux274)))-(b13*(1.+(2.*b22)))); aux276=(-2.*b33)+(((0.+8.j)*(b23*b34))+((4.*(b34**2))+((-2.*b44)+(-4.*(b33*b44))))); aux277=-1.+((4.*(b14*b23))+((4.*(b24*((0.+-1.j)+(b13+((0.+-2.j)*b33)))))+aux276)); aux278=(-4.*(b13*(b24*b34)))+((2.*aux275)+((4.*(b13*(b23*b44)))+(b12*aux277))); aux279=(2.*(b22*b34))+((4.*(b11*(b22*b34)))+(((0.+-8.j)*(b13*(b22*b34)))+aux278)); aux280=b34+((2.*(b11*b34))+((-4.*((b12**2)*b34))+(((0.+-4.j)*(b13*b34))+aux279))); aux281=(-2.*(b23*b24))+((-4.*(b11*(b23*b24)))+(((0.+8.j)*(b13*(b23*b24)))+aux280)); aux282=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux283=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux284=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux283))); aux285=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux284))))); aux286=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux282))+aux285); aux287=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux286))); aux288=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux287))); aux289=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux288)); aux290=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux289)); aux291=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux290))); aux292=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux291)); aux293=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux292))); aux294=1.+(((0.+4.j)*(b14*b34))+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44)))))); aux295=((0.+-1.j)*(b13*(1.+((-4.*(b24**2))+((2.*b44)+(b22*(2.+(4.*b44))))))))+(b22*aux294); aux296=((0.+2.j)*(b14*b34))+(((0.+2.j)*(b12*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))))+aux295); aux297=(-4.*((b23**2)*b44))+((2.*(b33*b44))+(np.conjugate((((0.+-4.j)*(b14*(b23*b24)))+aux296)))); aux298=(8.*(b34**2))+((-4.*b44)+(-4.*((-4.*((b24**2)*b33))+((8.*(b23*(b24*b34)))+aux297)))); aux299=-2.*((b12**2)*(1.+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))))); aux300=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux301=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux302=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux301))); aux303=(8.*(b12*aux300))+(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux302))))); aux304=(-4.*((b23**2)*b44))+((2.*(b33*b44))+((4.*(b22*(b33*b44)))+(aux299+aux303))); aux305=(-4.*((b13**2)*b44))+((2.*(b22*b44))+((-8.*((b13**2)*(b22*b44)))+aux304)); aux306=(16.*(b13*(b14*(b22*b34))))+((8.*(b23*(b24*b34)))+((-4.*(b22*(b34**2)))+aux305)); aux307=(-8.*((b14**2)*(b22*b33)))+((-4.*((b24**2)*b33))+((8.*(b13*(b14*b34)))+aux306)); aux308=(8.*((b13**2)*(b24**2)))+((-4.*((b14**2)*b33))+((2.*(b22*b33))+aux307)); aux309=(-4.*((b14**2)*b22))+((8.*((b14**2)*(b23**2)))+((-16.*(b13*(b14*(b23*b24))))+aux308)); aux310=(-2.*b33)+((4.*(b34**2))+((-2.*b44)+(-2.*((-4.*((b13**2)*b22))+aux309)))); aux311=(4.*(b13**2))+((4.*(b14**2))+((-2.*b22)+((4.*(b23**2))+((4.*(b24**2))+aux310)))); aux312=-1.+((-2.+((8.*(b23**2))+((8.*(b24**2))+((-4.*b33)+aux298))))/(-1.+aux311)); aux313=((0.+2.j)*(((2.*(b13*b23))+aux281)*s4))+((1.+((-4.*(b13**2))+((-4.*(b14**2))+aux293)))*(s1*aux312)); aux314=((0.+2.j)*((b23+((2.*(b11*b23))+(((0.+-4.j)*(b13*b23))+aux261)))*s2))+(((0.+-1.j)*((1.+(((0.+-4.j)*b13)+((-4.*(b13**2))+aux273)))*s3))+aux313); aux315=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux316=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux317=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux316))); aux318=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux317))))); aux319=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux315))+aux318); aux320=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux319))); aux321=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux320))); aux322=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux321)); aux323=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux322)); aux324=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux323))); aux325=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux324)); aux326=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux325))); aux327=aux235+((s1*aux254)+(aux314/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux326))))); aux328=((aux57*s4)/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux69))))+(aux98+(aux132+(aux154+(aux176+aux327)))); aux329=aux19+(((aux38*s3)/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux50))))+aux328); output=0.25*aux329; return output def lineal2(V,B,R,S): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) r1,r2,r3,r4=R[0],R[1],R[2],R[3] s1,s2,s3,s4=S[0],S[1],S[2],S[3] aux0=(2.*b33)+(((0.+-8.j)*(b24*b33))+((b22*(2.+(4.*b33)))+((0.+8.j)*(b23*b34)))); aux1=((0.+-2.j)*(b14*b34))+(((0.+-2.j)*(b23*b34))+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))); aux2=b13+(b24+((2.*(b24*b33))+((2.*(b13*b44))+((0.+-1.j)*(1.+((2.*b33)+aux1)))))); aux3=(2.*(b23*b44))+((4.*(b11*(b23*b44)))+(((0.+-8.j)*(b13*(b23*b44)))+(-2.*(b12*aux2)))); aux4=(b14*(1.+((-4.*(b23**2))+(((0.+-4.j)*b24)+((4.*(b13*b24))+aux0)))))+aux3; aux5=(-2.*(b24*b34))+((-4.*(b11*(b24*b34)))+(((0.+8.j)*(b13*(b24*b34)))+aux4)); aux6=(-4.*((b14**2)*b23))+((4.*(b13*(b23*b24)))+((-2.*(b13*b34))+((-4.*(b13*(b22*b34)))+aux5))); aux7=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux8=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux9=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux8))); aux10=(16.*(b12*aux7))+(2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux9)))))); aux11=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+aux10; aux12=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux11))); aux13=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux12))); aux14=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux13)); aux15=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux14)); aux16=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux15))); aux17=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux16)); aux18=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux17))); aux19=((0.+2.j)*((b23+((2.*(b11*b23))+(((0.+-4.j)*(b13*b23))+aux6)))*s1))/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux18))); aux20=-2.*(b13*((b14+((2.*(b14*b22))+((2.*(b24*b34))+(-2.*(b23*b44)))))-b23)); aux21=(4.*(b14*b23))+((4.*(b13*b24))+((-2.*b33)+((4.*(b34**2))+((-2.*b44)+(-4.*(b33*b44)))))); aux22=(2.*(b22*b34))+((4.*(b11*(b22*b34)))+((-4.*(b14*(b23*b34)))+(aux20+(b12*(-1.+aux21))))); aux23=(4.*(b14*(b24*b33)))+(b34+((2.*(b11*b34))+((-4.*((b12**2)*b34))+aux22))); aux24=(0.+2.j)*((2.*(b14*b24))+((-2.*(b23*b24))+((-4.*(b11*(b23*b24)))+aux23))); aux25=(8.*(b12*(b13+((-2.*(b14*b34))+(2.*(b13*b44))))))+((-4.*(b23*(1.+((-4.*(b14**2))+((2.*b44)+(b11*(2.+(4.*b44))))))))+aux24); aux26=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux27=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux28=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux27))); aux29=(16.*(b12*aux26))+(2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux28)))))); aux30=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+aux29; aux31=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux30))); aux32=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux31))); aux33=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux32)); aux34=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux33)); aux35=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux34))); aux36=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux35)); aux37=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux36))); aux38=(((8.*(b24*((-2.*(b13*b14))+(b34+(2.*(b11*b34))))))+aux25)*s3)/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux37))); aux39=(-4.*(b13*(b14*b23)))+((4.*((b13**2)*b24))+(2.*(b12*(b14+((2.*(b14*b33))+(-2.*(b13*b34))))))); aux40=(2.*(b11*b44))+((-4.*((b13**2)*b44))+((2.*(b33*b44))+(4.*(b11*(b33*b44))))); aux41=(8.*(b13*(b14*b34)))+((-2.*(b34**2))+((-4.*(b11*(b34**2)))+(b44+aux40))); aux42=(-4.*(b11*(b22*b33)))+((-2.*((b14**2)*(1.+(2.*b33))))+(((b12**2)*(2.+(4.*b33)))+aux41)); aux43=(-8.*(b12*(b13*b23)))+((2.*(b23**2))+((4.*(b11*(b23**2)))+((-2.*(b22*b33))+aux42))); aux44=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux45=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux46=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux45))); aux47=-2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux46))))); aux48=(4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((-16.*(b12*aux44))+aux47); aux49=(16.*((b13**2)*(b22*b44)))+((8.*((b23**2)*b44))+((-4.*(b33*b44))+((-8.*(b22*(b33*b44)))+aux48))); aux50=(8.*(b22*(b34**2)))+((-2.*b44)+((8.*((b13**2)*b44))+((-4.*(b22*b44))+aux49))); aux51=(-32.*(b13*(b14*(b22*b34))))+((-16.*(b23*(b24*b34)))+((4.*(b34**2))+aux50)); aux52=(16.*((b14**2)*(b22*b33)))+((8.*((b24**2)*b33))+((-16.*(b13*(b14*b34)))+aux51)); aux53=(-16.*((b13**2)*(b24**2)))+((-2.*b33)+((8.*((b14**2)*b33))+((-4.*(b22*b33))+aux52))); aux54=(-16.*((b14**2)*(b23**2)))+((32.*(b13*(b14*(b23*b24))))+((4.*(b24**2))+aux53)); aux55=(-2.*b22)+((8.*((b13**2)*b22))+((8.*((b14**2)*b22))+((4.*(b23**2))+aux54))); aux56=((0.+2.j)*(((-2.*(b11*b22))+((4.*((b13**2)*b22))+aux43))-b22))+((0.+1.j)*(-1.+((4.*(b13**2))+((4.*(b14**2))+aux55)))); aux57=(4.*(aux39-((1.+(2.*b11))*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))))+aux56; aux58=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux59=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux60=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux59))); aux61=(16.*(b12*aux58))+(2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux60)))))); aux62=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+aux61; aux63=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux62))); aux64=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux63))); aux65=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux64)); aux66=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux65)); aux67=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux66))); aux68=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux67)); aux69=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux68))); aux70=((0.+-16.j)*(v11*(v23*v44)))+((8.*(v13*(v23*v44)))+(-8.*(v12*(v33*v44)))); aux71=(-4.*(v12*v44))+(((0.+16.j)*(v12*(v13*v44)))+(((0.+-8.j)*(v23*v44))+aux70)); aux72=((0.+16.j)*(v11*(v24*v34)))+((-8.*(v13*(v24*v34)))+((8.*(v12*(v34**2)))+aux71)); aux73=(8.*(v11*(v22*v34)))+((-8.*(v14*(v23*v34)))+(((0.+8.j)*(v24*v34))+aux72)); aux74=(-8.*((v12**2)*v34))+(((0.+-16.j)*(v12*(v14*v34)))+((4.*(v22*v34))+aux73)); aux75=(-4.*(v12*v33))+((8.*(v14*(v24*v33)))+((2.*v34)+((4.*(v11*v34))+aux74))); aux76=((0.+-16.j)*(v13*(v14*v24)))+((-4.*(v23*v24))+((-8.*(v11*(v23*v24)))+aux75)); aux77=((0.+16.j)*((v14**2)*v23))+((8.*(v12*(v13*v24)))+((4.*(v14*v24))+aux76)); aux78=((0.+-4.j)*v23)+(((0.+-8.j)*(v11*v23))+((4.*(v13*v23))+((8.*(v12*(v14*v23)))+aux77))); aux79=(-2.*v12)+(((0.+8.j)*(v12*v13))+((-4.*(v13*v14))+((-8.*(v13*(v14*v22)))+aux78))); aux80=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux81=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux82=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux81))); aux83=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux82))))); aux84=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux80))+aux83); aux85=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux84))); aux86=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux85))); aux87=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux86)); aux88=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux87)); aux89=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux88))); aux90=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux89)); aux91=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux90))); aux92=(8.*(v11*(v23*v44)))+(((0.+16.j)*(v13*(v23*v44)))+((0.+-16.j)*(v12*(v33*v44)))); aux93=((0.+16.j)*(v12*(v34**2)))+(((0.+-8.j)*(v12*v44))+((-8.*(v12*(v13*v44)))+((4.*(v23*v44))+aux92))); aux94=(-4.*(v24*v34))+((-8.*(v11*(v24*v34)))+(((0.+-16.j)*(v13*(v24*v34)))+aux93)); aux95=(-8.*(v13*(v22*v34)))+((8.*(v12*(v23*v34)))+(((0.+-16.j)*(v14*(v23*v34)))+aux94)); aux96=((0.+16.j)*(v14*(v24*v33)))+((-4.*(v13*v34))+((8.*(v12*(v14*v34)))+aux95)); aux97=((0.+-8.j)*(v12*v33))+((4.*(v14*v33))+((8.*(v14*(v22*v33)))+((-8.*(v12*(v24*v33)))+aux96))); aux98=((0.+8.j)*(v14*v24))+((8.*(v13*(v14*v24)))+((8.*(v13*(v23*v24)))+aux97)); aux99=((0.+8.j)*(v13*v23))+((-8.*((v14**2)*v23))+((-8.*(v14*(v23**2)))+((-4.*(v12*v24))+aux98))); aux100=(-4.*(v12*v13))+((2.*v14)+((4.*(v14*v22))+((2.*v23)+((4.*(v11*v23))+aux99)))); aux101=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux102=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux103=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux102))); aux104=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux103))))); aux105=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux101))+aux104); aux106=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux105))); aux107=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux106))); aux108=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux107)); aux109=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux108)); aux110=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux109))); aux111=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux110)); aux112=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux111))); aux113=((0.+1.j)*(r1*(((0.+-4.j)*v12)+aux100)))/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux112))); aux114=((0.+16.j)*((v12**2)*(v33*v44)))+(((0.+-8.j)*(v22*(v33*v44)))+((0.+-16.j)*(v11*(v22*(v33*v44))))); aux115=((0.+16.j)*(v11*((v23**2)*v44)))+(((0.+-12.j)*(v33*v44))+(((0.+-24.j)*(v11*(v33*v44)))+aux114)); aux116=((0.+16.j)*((v13**2)*(v22*v44)))+(((0.+-32.j)*(v12*(v13*(v23*v44))))+(((0.+8.j)*((v23**2)*v44))+aux115)); aux117=((0.+24.j)*((v13**2)*v44))+(((0.+-4.j)*(v22*v44))+(((0.+-8.j)*(v11*(v22*v44)))+aux116)); aux118=((0.+-6.j)*v44)+(((0.+-12.j)*(v11*v44))+(((0.+8.j)*((v12**2)*v44))+aux117)); aux119=((0.+-16.j)*((v12**2)*(v34**2)))+(((0.+8.j)*(v22*(v34**2)))+(((0.+16.j)*(v11*(v22*(v34**2))))+aux118)); aux120=((0.+-32.j)*(v11*(v23*(v24*v34))))+(((0.+12.j)*(v34**2))+(((0.+24.j)*(v11*(v34**2)))+aux119)); aux121=((0.+32.j)*(v12*(v13*(v24*v34))))+(((0.+-16.j)*(v23*(v24*v34)))+aux120); aux122=(8.*(v23*v34))+((16.*(v11*(v23*v34)))+(((0.+32.j)*(v12*(v14*(v23*v34))))+aux121)); aux123=((0.+-48.j)*(v13*(v14*v34)))+(((0.+-32.j)*(v13*(v14*(v22*v34))))+aux122); aux124=((0.+8.j)*((v24**2)*v33))+(((0.+16.j)*(v11*((v24**2)*v33)))+((-16.*(v12*(v13*v34)))+aux123)); aux125=(-8.*(v24*v33))+((-16.*(v11*(v24*v33)))+(((0.+-32.j)*(v12*(v14*(v24*v33))))+aux124)); aux126=((0.+-4.j)*(v22*v33))+(((0.+-8.j)*(v11*(v22*v33)))+(((0.+16.j)*((v14**2)*(v22*v33)))+aux125)); aux127=((0.+8.j)*((v12**2)*v33))+((16.*(v12*(v14*v33)))+(((0.+24.j)*((v14**2)*v33))+aux126)); aux128=((0.+-16.j)*((v13**2)*(v24**2)))+(((0.+-6.j)*v33)+(((0.+-12.j)*(v11*v33))+aux127)); aux129=((0.+32.j)*(v13*(v14*(v23*v24))))+(((0.+4.j)*(v24**2))+(((0.+8.j)*(v11*(v24**2)))+aux128)); aux130=(-8.*(v11*v24))+((16.*((v13**2)*v24))+(((0.+-16.j)*(v12*(v14*v24)))+aux129)); aux131=((0.+8.j)*(v11*(v23**2)))+(((0.+-16.j)*((v14**2)*(v23**2)))+((-4.*v24)+aux130)); aux132=((0.+-16.j)*(v12*(v13*v23)))+((-16.*(v13*(v14*v23)))+(((0.+4.j)*(v23**2))+aux131)); aux133=((0.+-4.j)*(v11*v22))+(((0.+8.j)*((v13**2)*v22))+(((0.+8.j)*((v14**2)*v22))+aux132)); aux134=((0.+12.j)*(v13**2))+((8.*(v12*v14))+(((0.+12.j)*(v14**2))+(((0.+-2.j)*v22)+aux133))); aux135=(0.+1.j)*(r2*((0.+-3.j)+(((0.+-6.j)*v11)+(((0.+4.j)*(v12**2))+aux134)))); aux136=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux137=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux138=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux137))); aux139=2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux138))))); aux140=(-4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((16.*(v12*aux136))+aux139); aux141=(-16.*((v13**2)*(v22*v44)))+((-8.*((v23**2)*v44))+((4.*(v33*v44))+((8.*(v22*(v33*v44)))+aux140))); aux142=(-8.*(v22*(v34**2)))+((2.*v44)+((-8.*((v13**2)*v44))+((4.*(v22*v44))+aux141))); aux143=(32.*(v13*(v14*(v22*v34))))+((16.*(v23*(v24*v34)))+((-4.*(v34**2))+aux142)); aux144=(-16.*((v14**2)*(v22*v33)))+((-8.*((v24**2)*v33))+((16.*(v13*(v14*v34)))+aux143)); aux145=(16.*((v13**2)*(v24**2)))+((2.*v33)+((-8.*((v14**2)*v33))+((4.*(v22*v33))+aux144))); aux146=(16.*((v14**2)*(v23**2)))+((-32.*(v13*(v14*(v23*v24))))+((-4.*(v24**2))+aux145)); aux147=(2.*v22)+((-8.*((v13**2)*v22))+((-8.*((v14**2)*v22))+((-4.*(v23**2))+aux146))); aux148=(-16.*((v12**2)*(v33*v44)))+((8.*(v22*(v33*v44)))+(16.*(v11*(v22*(v33*v44))))); aux149=(32.*(v12*(v13*(v23*v44))))+((-8.*((v23**2)*v44))+((-16.*(v11*((v23**2)*v44)))+aux148)); aux150=(4.*(v22*v44))+((8.*(v11*(v22*v44)))+((-16.*((v13**2)*(v22*v44)))+aux149)); aux151=(-8.*(v22*(v34**2)))+((-16.*(v11*(v22*(v34**2))))+((-8.*((v12**2)*v44))+aux150)); aux152=(16.*(v23*(v24*v34)))+((32.*(v11*(v23*(v24*v34))))+((16.*((v12**2)*(v34**2)))+aux151)); aux153=((0.+-16.j)*(v11*(v23*v34)))+((-32.*(v12*(v14*(v23*v34))))+((-32.*(v12*(v13*(v24*v34))))+aux152)); aux154=((0.+16.j)*(v12*(v13*v34)))+((32.*(v13*(v14*(v22*v34))))+(((0.+-8.j)*(v23*v34))+aux153)); aux155=(32.*(v12*(v14*(v24*v33))))+((-8.*((v24**2)*v33))+((-16.*(v11*((v24**2)*v33)))+aux154)); aux156=(-16.*((v14**2)*(v22*v33)))+(((0.+8.j)*(v24*v33))+(((0.+16.j)*(v11*(v24*v33)))+aux155)); aux157=((0.+-16.j)*(v12*(v14*v33)))+((8.*(v22*v33))+((16.*(v11*(v22*v33)))+aux156)); aux158=(16.*((v13**2)*(v24**2)))+((2.*v33)+((4.*(v11*v33))+((-16.*((v12**2)*v33))+aux157))); aux159=(-32.*(v13*(v14*(v23*v24))))+((-4.*(v24**2))+((-8.*(v11*(v24**2)))+aux158)); aux160=((0.+8.j)*(v11*v24))+(((0.+-16.j)*((v13**2)*v24))+((16.*(v12*(v14*v24)))+aux159)); aux161=(-16.*(v11*(v23**2)))+((16.*((v14**2)*(v23**2)))+(((0.+4.j)*v24)+aux160)); aux162=(32.*(v12*(v13*v23)))+(((0.+16.j)*(v13*(v14*v23)))+((-8.*(v23**2))+aux161)); aux163=(4.*v22)+((8.*(v11*v22))+((-16.*((v13**2)*v22))+((-8.*((v14**2)*v22))+aux162))); aux164=(2.*v11)+((-8.*(v12**2))+((-4.*(v13**2))+(((0.+-8.j)*(v12*v14))+aux163))); aux165=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux166=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux167=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux166))); aux168=2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux167))))); aux169=(-4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((16.*(v12*aux165))+aux168); aux170=(-16.*((v13**2)*(v22*v44)))+((-8.*((v23**2)*v44))+((4.*(v33*v44))+((8.*(v22*(v33*v44)))+aux169))); aux171=(-8.*(v22*(v34**2)))+((2.*v44)+((-8.*((v13**2)*v44))+((4.*(v22*v44))+aux170))); aux172=(32.*(v13*(v14*(v22*v34))))+((16.*(v23*(v24*v34)))+((-4.*(v34**2))+aux171)); aux173=(-16.*((v14**2)*(v22*v33)))+((-8.*((v24**2)*v33))+((16.*(v13*(v14*v34)))+aux172)); aux174=(16.*((v13**2)*(v24**2)))+((2.*v33)+((-8.*((v14**2)*v33))+((4.*(v22*v33))+aux173))); aux175=(16.*((v14**2)*(v23**2)))+((-32.*(v13*(v14*(v23*v24))))+((-4.*(v24**2))+aux174)); aux176=(2.*v22)+((-8.*((v13**2)*v22))+((-8.*((v14**2)*v22))+((-4.*(v23**2))+aux175))); aux177=((0.+1.j)*(r4*(1.+aux164)))/(1.+((-4.*(v13**2))+((-4.*(v14**2))+aux176))); aux178=v14*((0.+1.j)+(((0.+2.j)*v33)+((-2.*(v24*(1.+(2.*v33))))+(4.*(v23*v34))))); aux179=v12*(aux178+(-2.*(v13*((((0.+1.j)+(-2.*v24))*v34)+(2.*(v23*(1.+v44))))))); aux180=(-8.*((v23**2)*(1.+v44)))+(4.*(v22*(1.+((-2.*(v34**2))+(v44+(2.*(v33*(1.+v44)))))))); aux181=((8.*(v23*(((0.+-1.j)+(2.*v24))*v34)))+aux180)-(((((0.+1.j)+(-2.*v24))**2))*(1.+(2.*v33))); aux182=(8.*((v12**2)*(1.+((-2.*(v34**2))+(v44+(2.*(v33*(1.+v44))))))))+((8.*aux179)+(-2.*(v11*aux181))); aux183=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-8.*(v22*(v33*v44)))+aux182)); aux184=((0.+8.j)*(v23*v34))+((-16.*(v23*(v24*v34)))+((8.*(v22*(v34**2)))+((-4.*(v22*v44))+aux183))); aux185=((0.+-8.j)*(v24*v33))+((8.*((v24**2)*v33))+((-32.*(v13*(v14*(v22*v34))))+aux184)); aux186=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((-8.*(v22*v33))+((16.*((v14**2)*(v22*v33)))+aux185))); aux187=((0.+16.j)*((v13**2)*v24))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux186)); aux188=((0.+-16.j)*(v13*(v14*v23)))+((8.*(v23**2))+((-16.*((v14**2)*(v23**2)))+(((0.+-4.j)*v24)+aux187))); aux189=(4.*(v13**2))+((-4.*v22)+((16.*((v13**2)*v22))+((8.*((v14**2)*v22))+aux188))); aux190=v14*((0.+1.j)+(((0.+2.j)*v33)+((-2.*(v24*(1.+(2.*v33))))+(4.*(v23*v34))))); aux191=v12*(aux190+(-2.*(v13*(v23+((((0.+1.j)+(-2.*v24))*v34)+(2.*(v23*v44))))))); aux192=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux193=(8.*(v23*(((0.+-1.j)+(2.*v24))*v34)))+((4.*(v34**2))+((-2.*v44)+((-4.*(v33*v44))+aux192))); aux194=(-4.*(v24**2))+((-2.*v33)+(((0.+8.j)*(v24*v33))+((-8.*((v24**2)*v33))+aux193))); aux195=(-4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-8.*aux191)+(2.*(v11*(-1.+(((0.+4.j)*v24)+aux194))))); aux196=(-16.*((v13**2)*(v22*v44)))+((-8.*((v23**2)*v44))+((-4.*(v33*v44))+((8.*(v22*(v33*v44)))+aux195))); aux197=(-8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((4.*(v22*v44))+aux196))); aux198=(32.*(v13*(v14*(v22*v34))))+(((0.+-8.j)*(v23*v34))+((16.*(v23*(v24*v34)))+((4.*(v34**2))+aux197))); aux199=((0.+8.j)*(v24*v33))+((-8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux198)); aux200=(8.*((v14**2)*v33))+((4.*(v22*v33))+((-16.*((v14**2)*(v22*v33)))+aux199)); aux201=(-32.*(v13*(v14*(v23*v24))))+((-4.*(v24**2))+((16.*((v13**2)*(v24**2)))+((-2.*v33)+aux200))); aux202=(16.*((v14**2)*(v23**2)))+(((0.+4.j)*v24)+(((0.+-16.j)*((v13**2)*v24))+aux201)); aux203=(-8.*((v14**2)*v22))+(((0.+16.j)*(v13*(v14*v23)))+((-4.*(v23**2))+aux202)); aux204=-1.+((4.*(v13**2))+((4.*(v14**2))+((2.*v22)+((-8.*((v13**2)*v22))+aux203)))); aux205=v14+((2.*(v14*v22))+(((0.+4.j)*(v14*v24))+((2.*(v24*v34))+(-2.*(v23*v44))))); aux206=(4.*(v34**2))+((4.*(v13*((0.+1.j)+(v24+((0.+2.j)*v44)))))+((-2.*v44)+(-4.*(v33*v44)))); aux207=(-2.*(v13*(aux205-v23)))+(v12*(-1.+((4.*(v14*v23))+((-2.*v33)+(((0.+-8.j)*(v14*v34))+aux206))))); aux208=((0.+8.j)*(v11*(v24*v34)))+(((0.+-4.j)*(v23*v44))+(((0.+-8.j)*(v11*(v23*v44)))+aux207)); aux209=(4.*(v11*(v22*v34)))+((-4.*(v14*(v23*v34)))+(((0.+4.j)*(v24*v34))+aux208)); aux210=(4.*(v14*(v24*v33)))+(v34+((2.*(v11*v34))+((-4.*((v12**2)*v34))+((2.*(v22*v34))+aux209)))); aux211=((0.+8.j)*((v14**2)*v23))+((2.*(v14*v24))+((-2.*(v23*v24))+((-4.*(v11*(v23*v24)))+aux210))); aux212=(2.*v33)+(((0.+8.j)*(v24*v33))+((v22*(2.+(4.*v33)))+((0.+-8.j)*(v23*v34)))); aux213=((0.+2.j)*(v14*v34))+(((0.+2.j)*(v23*v34))+((-4.*(v34**2))+((2.*v44)+(4.*(v33*v44))))); aux214=v24+((2.*(v24*v33))+((2.*(v13*v44))+((0.+1.j)*(1.+((2.*v33)+aux213))))); aux215=(4.*(v11*(v23*v44)))+(((0.+8.j)*(v13*(v23*v44)))+(-2.*(v12*(v13+aux214)))); aux216=(v14*(1.+((-4.*(v23**2))+(((0.+4.j)*v24)+((4.*(v13*v24))+aux212)))))+((2.*(v23*v44))+aux215); aux217=(-2.*(v24*v34))+((-4.*(v11*(v24*v34)))+(((0.+-8.j)*(v13*(v24*v34)))+aux216)); aux218=(-4.*((v14**2)*v23))+((4.*(v13*(v23*v24)))+((-2.*(v13*v34))+((-4.*(v13*(v22*v34)))+aux217))); aux219=(r3*(((0.+-2.j)*v23)+(((0.+-4.j)*(v11*v23))+aux211)))+(r1*(v23+((2.*(v11*v23))+(((0.+4.j)*(v13*v23))+aux218)))); aux220=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux221=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux222=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux221))); aux223=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux222))))); aux224=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux220))+aux223); aux225=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux224))); aux226=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux225))); aux227=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux226)); aux228=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux227)); aux229=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux228))); aux230=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux229)); aux231=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux230))); aux232=(((0.+1.j)*(r4*(-1.+aux189)))+((r2*aux204)+((0.+2.j)*aux219)))/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux231))); aux233=((0.+-4.j)*(b24*(1.+(2.*b33))))+(((0.+8.j)*(b23*b34))+((-8.*(b34**2))+((4.*b44)+(8.*(b33*b44))))); aux234=((b13**2)*(-4.+(((0.+8.j)*b24)+(-8.*b44))))+(b11*(2.+((4.*b33)+aux233))); aux235=((0.+4.j)*(b23*b34))+(((0.+-8.j)*(b13*((b14*b23)+((b12*b34)+((0.+2.j)*(b14*b34))))))+aux234); aux236=((0.+4.j)*(b12*b14))+(((0.+8.j)*(b12*(b14*b33)))+(((0.+-4.j)*(b24*b33))+aux235)); aux237=(-8.*((b14**2)*b33))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+(np.conjugate(aux236))))); aux238=-2.*((b12**2)*(1.+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))))); aux239=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux240=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux241=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux240))); aux242=(8.*(b12*aux239))+(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux241))))); aux243=(-4.*((b23**2)*b44))+((2.*(b33*b44))+((4.*(b22*(b33*b44)))+(aux238+aux242))); aux244=(-4.*((b13**2)*b44))+((2.*(b22*b44))+((-8.*((b13**2)*(b22*b44)))+aux243)); aux245=(16.*(b13*(b14*(b22*b34))))+((8.*(b23*(b24*b34)))+((-4.*(b22*(b34**2)))+aux244)); aux246=(-8.*((b14**2)*(b22*b33)))+((-4.*((b24**2)*b33))+((8.*(b13*(b14*b34)))+aux245)); aux247=(8.*((b13**2)*(b24**2)))+((-4.*((b14**2)*b33))+((2.*(b22*b33))+aux246)); aux248=(-4.*((b14**2)*b22))+((8.*((b14**2)*(b23**2)))+((-16.*(b13*(b14*(b23*b24))))+aux247)); aux249=(-2.*b33)+((4.*(b34**2))+((-2.*b44)+(-2.*((-4.*((b13**2)*b22))+aux248)))); aux250=(4.*(b13**2))+((4.*(b14**2))+((-2.*b22)+((4.*(b23**2))+((4.*(b24**2))+aux249)))); aux251=((8.*(b14**2))+(((0.+-4.j)*b24)+(-2.*(1.+((2.*b33)+aux237)))))/(-1.+aux250); aux252=(2.*b33)+(((0.+-8.j)*(b24*b33))+((b22*(2.+(4.*b33)))+((0.+8.j)*(b23*b34)))); aux253=((0.+-2.j)*(b14*b34))+(((0.+-2.j)*(b23*b34))+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))); aux254=b24+((2.*(b24*b33))+((2.*(b13*b44))+((0.+-1.j)*(1.+((2.*b33)+aux253))))); aux255=(4.*(b11*(b23*b44)))+(((0.+-8.j)*(b13*(b23*b44)))+(-2.*(b12*(b13+aux254)))); aux256=(b14*(1.+((-4.*(b23**2))+(((0.+-4.j)*b24)+((4.*(b13*b24))+aux252)))))+((2.*(b23*b44))+aux255); aux257=(-2.*(b24*b34))+((-4.*(b11*(b24*b34)))+(((0.+8.j)*(b13*(b24*b34)))+aux256)); aux258=(-4.*((b14**2)*b23))+((4.*(b13*(b23*b24)))+((-2.*(b13*b34))+((-4.*(b13*(b22*b34)))+aux257))); aux259=(2.*(b14*b22))+(((0.+-4.j)*(b14*b24))+((2.*(b24*b34))+(-2.*(b23*b44)))); aux260=(4.*(b13*((0.+-1.j)+(b24+((0.+-2.j)*b44)))))+((-2.*b44)+(-4.*(b33*b44))); aux261=(4.*(b14*b23))+((-2.*b33)+(((0.+8.j)*(b14*b34))+((4.*(b34**2))+aux260))); aux262=((0.+8.j)*(b11*(b23*b44)))+((-2.*(b13*((b14+aux259)-b23)))+(b12*(-1.+aux261))); aux263=((0.+-4.j)*(b24*b34))+(((0.+-8.j)*(b11*(b24*b34)))+(((0.+4.j)*(b23*b44))+aux262)); aux264=(-4.*((b12**2)*b34))+((2.*(b22*b34))+((4.*(b11*(b22*b34)))+((-4.*(b14*(b23*b34)))+aux263))); aux265=(-4.*(b11*(b23*b24)))+((4.*(b14*(b24*b33)))+(b34+((2.*(b11*b34))+aux264))); aux266=((0.+4.j)*(b11*b23))+(((0.+-8.j)*((b14**2)*b23))+((2.*(b14*b24))+((-2.*(b23*b24))+aux265))); aux267=(b14*((0.+1.j)+(((0.+2.j)*b33)+((b24*(2.+(4.*b33)))+(-4.*(b23*b34))))))+(4.*(b13*(b23*(1.+b44)))); aux268=(-8.*((b23**2)*(1.+b44)))+(4.*(b22*(1.+((-2.*(b34**2))+(b44+(2.*(b33*(1.+b44)))))))); aux269=((8.*(b23*(((0.+1.j)+(2.*b24))*b34)))+aux268)-(((((0.+1.j)+(2.*b24))**2))*(1.+(2.*b33))); aux270=(-8.*((b12**2)*(1.+((-2.*(b34**2))+(b44+(2.*(b33*(1.+b44))))))))+(2.*(b11*aux269)); aux271=(8.*(b22*(b33*b44)))+((8.*(b12*((-2.*(b13*(((0.+1.j)+(2.*b24))*b34)))+aux267)))+aux270); aux272=(4.*(b22*b44))+((-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+aux271)); aux273=((0.+8.j)*(b23*b34))+((16.*(b23*(b24*b34)))+((-8.*(b22*(b34**2)))+aux272)); aux274=((0.+-8.j)*(b24*b33))+((-8.*((b24**2)*b33))+((32.*(b13*(b14*(b22*b34))))+aux273)); aux275=(16.*((b13**2)*(b24**2)))+((2.*b33)+((8.*(b22*b33))+((-16.*((b14**2)*(b22*b33)))+aux274))); aux276=((0.+16.j)*((b13**2)*b24))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux275)); aux277=((0.+-16.j)*(b13*(b14*b23)))+((-8.*(b23**2))+((16.*((b14**2)*(b23**2)))+(((0.+-4.j)*b24)+aux276))); aux278=(-4.*(b13**2))+((4.*b22)+((-16.*((b13**2)*b22))+((-8.*((b14**2)*b22))+aux277))); aux279=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux280=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux281=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux280))); aux282=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux281))))); aux283=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux279))+aux282); aux284=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux283))); aux285=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux284))); aux286=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux285)); aux287=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux286)); aux288=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux287))); aux289=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux288)); aux290=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux289))); aux291=((0.+-4.j)*(b24*(1.+(2.*b33))))+(((0.+8.j)*(b23*b34))+((-8.*(b34**2))+((4.*b44)+(8.*(b33*b44))))); aux292=((b13**2)*(-4.+(((0.+8.j)*b24)+(-8.*b44))))+(b11*(2.+((4.*b33)+aux291))); aux293=((0.+4.j)*(b23*b34))+(((0.+-8.j)*(b13*((b14*b23)+((b12*b34)+((0.+2.j)*(b14*b34))))))+aux292); aux294=((0.+4.j)*(b12*b14))+(((0.+8.j)*(b12*(b14*b33)))+(((0.+-4.j)*(b24*b33))+aux293)); aux295=(-8.*((b14**2)*b33))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+(np.conjugate(aux294))))); aux296=-2.*((b12**2)*(1.+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))))); aux297=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux298=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux299=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux298))); aux300=(8.*(b12*aux297))+(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux299))))); aux301=(-4.*((b23**2)*b44))+((2.*(b33*b44))+((4.*(b22*(b33*b44)))+(aux296+aux300))); aux302=(-4.*((b13**2)*b44))+((2.*(b22*b44))+((-8.*((b13**2)*(b22*b44)))+aux301)); aux303=(16.*(b13*(b14*(b22*b34))))+((8.*(b23*(b24*b34)))+((-4.*(b22*(b34**2)))+aux302)); aux304=(-8.*((b14**2)*(b22*b33)))+((-4.*((b24**2)*b33))+((8.*(b13*(b14*b34)))+aux303)); aux305=(8.*((b13**2)*(b24**2)))+((-4.*((b14**2)*b33))+((2.*(b22*b33))+aux304)); aux306=(-4.*((b14**2)*b22))+((8.*((b14**2)*(b23**2)))+((-16.*(b13*(b14*(b23*b24))))+aux305)); aux307=(-2.*b33)+((4.*(b34**2))+((-2.*b44)+(-2.*((-4.*((b13**2)*b22))+aux306)))); aux308=(4.*(b13**2))+((4.*(b14**2))+((-2.*b22)+((4.*(b23**2))+((4.*(b24**2))+aux307)))); aux309=((8.*(b14**2))+(((0.+-4.j)*b24)+(-2.*(1.+((2.*b33)+aux295)))))/(-1.+aux308); aux310=((0.+-1.j)*((1.+aux278)*s4))+((1.+((-4.*(b13**2))+((-4.*(b14**2))+aux290)))*(s2*(-1.+aux309))); aux311=((0.+2.j)*((b23+((2.*(b11*b23))+(((0.+-4.j)*(b13*b23))+aux258)))*s1))+(((0.+2.j)*((((0.+2.j)*b23)+aux266)*s3))+aux310); aux312=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux313=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux314=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux313))); aux315=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux314))))); aux316=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux312))+aux315); aux317=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux316))); aux318=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux317))); aux319=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux318)); aux320=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux319)); aux321=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux320))); aux322=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux321)); aux323=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux322))); aux324=(s2*(1.+aux251))+(aux311/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux323)))); aux325=(aux135/(1.+((-4.*(v13**2))+((-4.*(v14**2))+aux147))))+(aux177+(aux232+aux324)); aux326=(((0.+1.j)*(r3*aux79))/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux91))))+(aux113+aux325); aux327=aux38+(((aux57*s4)/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux69))))+aux326); output=0.25*(aux19+aux327); return output def lineal3(V,B,R,S): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) r1,r2,r3,r4=R[0],R[1],R[2],R[3] s1,s2,s3,s4=S[0],S[1],S[2],S[3] aux0=(2.*b44)+(4.*(b33*(1.+(b11+((-2.*(b14**2))+((2.*b44)+(2.*(b11*b44)))))))); aux1=1.+(((0.+-8.j)*(b14*b34))+((-8.*(b34**2))+((-8.*(b11*(b34**2)))+aux0))); aux2=(b22*((0.+2.j)+((8.*(b14*b34))+((0.+4.j)*b44))))+(((0.+2.j)*b44)+(4.*(b12*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))))); aux3=(0.+1.j)+((-8.*(b14*(b23*b24)))+(((0.+-4.j)*(b24**2))+((4.*(b14*b34))+aux2))); aux4=(-4.*((b13**2)*(1.+((-4.*(b24**2))+((2.*b44)+(b22*(2.+(4.*b44))))))))+((2.*(b22*aux1))+(4.*(b13*aux3))); aux5=(8.*(b33*b44))+((8.*(b11*(b33*b44)))+((-16.*((b12**2)*(b33*b44)))+aux4)); aux6=((0.+-16.j)*(b12*(b23*b44)))+((-16.*((b23**2)*b44))+((-16.*(b11*((b23**2)*b44)))+aux5)); aux7=(-8.*(b34**2))+((-8.*(b11*(b34**2)))+((16.*((b12**2)*(b34**2)))+((2.*b44)+aux6))); aux8=((0.+16.j)*(b12*(b24*b34)))+((32.*(b23*(b24*b34)))+((32.*(b11*(b23*(b24*b34))))+aux7)); aux9=(-16.*(b11*((b24**2)*b33)))+(((0.+-8.j)*(b14*b34))+((-32.*(b12*(b14*(b23*b34))))+aux8)); aux10=(-8.*((b14**2)*b33))+((32.*(b12*(b14*(b24*b33))))+((-16.*((b24**2)*b33))+aux9)); aux11=(-4.*(b24**2))+((4.*b33)+((4.*(b11*b33))+((-8.*((b12**2)*b33))+aux10))); aux12=(-8.*(b11*(b23**2)))+((16.*((b14**2)*(b23**2)))+(((0.+16.j)*(b14*(b23*b24)))+aux11)); aux13=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux14=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux15=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux14))); aux16=(16.*(b12*aux13))+(2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux15)))))); aux17=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+aux16; aux18=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux17))); aux19=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux18))); aux20=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux19)); aux21=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux20)); aux22=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux21))); aux23=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux22)); aux24=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux23))); aux25=((0.+1.j)*((1.+(((0.+-8.j)*(b12*b23))+((-8.*(b23**2))+aux12)))*s1))/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux24))); aux26=(2.*(b14*b22))+(((0.+-4.j)*(b14*b24))+((2.*(b24*b34))+(-2.*(b23*b44)))); aux27=(4.*(b13*((0.+-1.j)+(b24+((0.+-2.j)*b44)))))+((-2.*b44)+(-4.*(b33*b44))); aux28=(4.*(b14*b23))+((-2.*b33)+(((0.+8.j)*(b14*b34))+((4.*(b34**2))+aux27))); aux29=((0.+8.j)*(b11*(b23*b44)))+((-2.*(b13*((b14+aux26)-b23)))+(b12*(-1.+aux28))); aux30=((0.+-4.j)*(b24*b34))+(((0.+-8.j)*(b11*(b24*b34)))+(((0.+4.j)*(b23*b44))+aux29)); aux31=(-4.*((b12**2)*b34))+((2.*(b22*b34))+((4.*(b11*(b22*b34)))+((-4.*(b14*(b23*b34)))+aux30))); aux32=(-4.*(b11*(b23*b24)))+((4.*(b14*(b24*b33)))+(b34+((2.*(b11*b34))+aux31))); aux33=((0.+4.j)*(b11*b23))+(((0.+-8.j)*((b14**2)*b23))+((2.*(b14*b24))+((-2.*(b23*b24))+aux32))); aux34=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux35=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux36=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux35))); aux37=(16.*(b12*aux34))+(2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux36)))))); aux38=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+aux37; aux39=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux38))); aux40=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux39))); aux41=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux40)); aux42=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux41)); aux43=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux42))); aux44=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux43)); aux45=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux44))); aux46=((0.+2.j)*((((0.+2.j)*b23)+aux33)*s2))/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux45))); aux47=(4.*((b12**2)*b34))+((1.+(2.*b11))*(((2.*(b23*b24))+(-2.*(b22*b34)))-b34)); aux48=(-4.*(b12*(b14*b23)))+((2.*(b13*(b14+((2.*(b14*b22))+(-2.*(b12*b24))))))+aux47); aux49=b12*(b13+(b24+((2.*(b24*b33))+((-2.*((b14+b23)*b34))+(2.*(b13*b44)))))); aux50=(4.*(b11*(b24*b34)))+((-2.*(b23*b44))+((-4.*(b11*(b23*b44)))+(2.*aux49))); aux51=(-4.*(b13*(b23*b24)))+((2.*(b13*b34))+((4.*(b13*(b22*b34)))+((2.*(b24*b34))+aux50))); aux52=b14*(1.+((-4.*(b23**2))+((4.*(b13*b24))+((2.*b33)+(b22*(2.+(4.*b33))))))); aux53=(4.*aux48)+((0.+2.j)*((((-2.*(b11*b23))+((4.*((b14**2)*b23))+aux51))-aux52)-b23)); aux54=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux55=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux56=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux55))); aux57=(16.*(b12*aux54))+(2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux56)))))); aux58=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+aux57; aux59=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux58))); aux60=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux59))); aux61=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux60)); aux62=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux61)); aux63=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux62))); aux64=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux63)); aux65=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux64))); aux66=((0.+-16.j)*((v12**2)*(v33*v44)))+(((0.+8.j)*(v22*(v33*v44)))+((0.+16.j)*(v11*(v22*(v33*v44))))); aux67=((0.+-16.j)*(v11*((v23**2)*v44)))+(((0.+4.j)*(v33*v44))+(((0.+8.j)*(v11*(v33*v44)))+aux66)); aux68=(16.*(v12*(v23*v44)))+(((0.+32.j)*(v12*(v13*(v23*v44))))+(((0.+-8.j)*((v23**2)*v44))+aux67)); aux69=((0.+24.j)*(v11*(v22*v44)))+((-16.*(v13*(v22*v44)))+(((0.+-16.j)*((v13**2)*(v22*v44)))+aux68)); aux70=(-8.*(v13*v44))+(((0.+-8.j)*((v13**2)*v44))+(((0.+12.j)*(v22*v44))+aux69)); aux71=((0.+6.j)*v44)+(((0.+12.j)*(v11*v44))+(((0.+-24.j)*((v12**2)*v44))+aux70)); aux72=((0.+16.j)*((v12**2)*(v34**2)))+(((0.+-8.j)*(v22*(v34**2)))+(((0.+-16.j)*(v11*(v22*(v34**2))))+aux71)); aux73=((0.+32.j)*(v11*(v23*(v24*v34))))+(((0.+-4.j)*(v34**2))+(((0.+-8.j)*(v11*(v34**2)))+aux72)); aux74=(-16.*(v12*(v24*v34)))+(((0.+-32.j)*(v12*(v13*(v24*v34))))+(((0.+16.j)*(v23*(v24*v34)))+aux73)); aux75=((0.+32.j)*(v13*(v14*(v22*v34))))+(((0.+-32.j)*(v12*(v14*(v23*v34))))+aux74); aux76=(8.*(v14*v34))+(((0.+16.j)*(v13*(v14*v34)))+((16.*(v14*(v22*v34)))+aux75)); aux77=((0.+32.j)*(v12*(v14*(v24*v33))))+(((0.+-8.j)*((v24**2)*v33))+(((0.+-16.j)*(v11*((v24**2)*v33)))+aux76)); aux78=((0.+4.j)*(v22*v33))+(((0.+8.j)*(v11*(v22*v33)))+(((0.+-16.j)*((v14**2)*(v22*v33)))+aux77)); aux79=((0.+4.j)*(v11*v33))+(((0.+-8.j)*((v12**2)*v33))+(((0.+-8.j)*((v14**2)*v33))+aux78)); aux80=(16.*(v13*(v24**2)))+(((0.+16.j)*((v13**2)*(v24**2)))+(((0.+2.j)*v33)+aux79)); aux81=((0.+-32.j)*(v13*(v14*(v23*v24))))+(((0.+-12.j)*(v24**2))+(((0.+-24.j)*(v11*(v24**2)))+aux80)); aux82=((0.+16.j)*((v14**2)*(v23**2)))+(((0.+48.j)*(v12*(v14*v24)))+((-16.*(v14*(v23*v24)))+aux81)); aux83=((0.+16.j)*(v12*(v13*v23)))+(((0.+-4.j)*(v23**2))+(((0.+-8.j)*(v11*(v23**2)))+aux82)); aux84=((0.+-8.j)*((v13**2)*v22))+(((0.+-24.j)*((v14**2)*v22))+((8.*(v12*v23))+aux83)); aux85=((0.+-12.j)*(v14**2))+(((0.+6.j)*v22)+(((0.+12.j)*(v11*v22))+((-8.*(v13*v22))+aux84))); aux86=((0.+6.j)*v11)+(((0.+-12.j)*(v12**2))+((-4.*v13)+(((0.+-4.j)*(v13**2))+aux85))); aux87=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux88=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux89=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux88))); aux90=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux89))))); aux91=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux87))+aux90); aux92=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux91))); aux93=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux92))); aux94=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux93)); aux95=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux94)); aux96=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux95))); aux97=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux96)); aux98=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux97))); aux99=((0.+1.j)*(r3*((0.+3.j)+aux86)))/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux98))); aux100=(-16.*((v12**2)*(v33*v44)))+((16.*(v22*(v33*v44)))+(16.*(v11*(v22*(v33*v44))))); aux101=(-16.*(v11*((v23**2)*v44)))+((8.*(v33*v44))+((8.*(v11*(v33*v44)))+aux100)); aux102=((0.+16.j)*(v12*(v23*v44)))+((32.*(v12*(v13*(v23*v44))))+((-16.*((v23**2)*v44))+aux101)); aux103=(4.*(v22*v44))+(((0.+-16.j)*(v13*(v22*v44)))+((-16.*((v13**2)*(v22*v44)))+aux102)); aux104=(-16.*(v11*(v22*(v34**2))))+((2.*v44)+(((0.+-8.j)*(v13*v44))+((-8.*((v13**2)*v44))+aux103))); aux105=(-8.*(v11*(v34**2)))+((16.*((v12**2)*(v34**2)))+((-16.*(v22*(v34**2)))+aux104)); aux106=(32.*(v23*(v24*v34)))+((32.*(v11*(v23*(v24*v34))))+((-8.*(v34**2))+aux105)); aux107=(-32.*(v12*(v14*(v23*v34))))+(((0.+-16.j)*(v12*(v24*v34)))+((-32.*(v12*(v13*(v24*v34))))+aux106)); aux108=(16.*(v13*(v14*v34)))+(((0.+16.j)*(v14*(v22*v34)))+((32.*(v13*(v14*(v22*v34))))+aux107)); aux109=(-16.*((v24**2)*v33))+((-16.*(v11*((v24**2)*v33)))+(((0.+8.j)*(v14*v34))+aux108)); aux110=(8.*(v11*(v22*v33)))+((-16.*((v14**2)*(v22*v33)))+((32.*(v12*(v14*(v24*v33))))+aux109)); aux111=(4.*(v11*v33))+((-8.*((v12**2)*v33))+((-8.*((v14**2)*v33))+((8.*(v22*v33))+aux110))); aux112=((0.+16.j)*(v13*(v24**2)))+((16.*((v13**2)*(v24**2)))+((4.*v33)+aux111)); aux113=((0.+-16.j)*(v14*(v23*v24)))+((-32.*(v13*(v14*(v23*v24))))+((-4.*(v24**2))+aux112)); aux114=(-8.*(v23**2))+((-8.*(v11*(v23**2)))+((16.*((v14**2)*(v23**2)))+aux113)); aux115=(-8.*((v13**2)*v22))+(((0.+8.j)*(v12*v23))+((16.*(v12*(v13*v23)))+aux114)); aux116=((0.+-4.j)*v13)+((-4.*(v13**2))+((2.*v22)+(((0.+-8.j)*(v13*v22))+aux115))); aux117=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux118=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux119=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux118))); aux120=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux119))))); aux121=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux117))+aux120); aux122=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux121))); aux123=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux122))); aux124=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux123)); aux125=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux124)); aux126=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux125))); aux127=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux126)); aux128=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux127))); aux129=((0.+1.j)*(r1*(1.+aux116)))/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux128))); aux130=(-8.*(v11*(v24*v34)))+((-8.*(v12*(v13*v44)))+((4.*(v23*v44))+(8.*(v11*(v23*v44))))); aux131=((0.+16.j)*(v11*(v22*v34)))+((-8.*(v13*(v22*v34)))+((8.*(v12*(v23*v34)))+((-4.*(v24*v34))+aux130))); aux132=((0.+-16.j)*((v12**2)*v34))+((-4.*(v13*v34))+((8.*(v12*(v14*v34)))+(((0.+8.j)*(v22*v34))+aux131))); aux133=(8.*(v14*(v22*v33)))+((-8.*(v12*(v24*v33)))+(((0.+4.j)*v34)+(((0.+8.j)*(v11*v34))+aux132))); aux134=((0.+-16.j)*(v11*(v23*v24)))+((8.*(v13*(v23*v24)))+((4.*(v14*v33))+aux133)); aux135=((0.+16.j)*(v12*(v13*v24)))+((8.*(v13*(v14*v24)))+(((0.+-8.j)*(v23*v24))+aux134)); aux136=((0.+16.j)*(v12*(v14*v23)))+((-8.*((v14**2)*v23))+((-8.*(v14*(v23**2)))+((-4.*(v12*v24))+aux135))); aux137=(4.*(v14*v22))+(((0.+-16.j)*(v13*(v14*v22)))+((2.*v23)+((4.*(v11*v23))+aux136))); aux138=(0.+1.j)*(r4*((-4.*(v12*v13))+((2.*v14)+(((0.+-8.j)*(v13*v14))+aux137)))); aux139=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux140=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux141=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux140))); aux142=2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux141))))); aux143=(-4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((16.*(v12*aux139))+aux142); aux144=(-16.*((v13**2)*(v22*v44)))+((-8.*((v23**2)*v44))+((4.*(v33*v44))+((8.*(v22*(v33*v44)))+aux143))); aux145=(-8.*(v22*(v34**2)))+((2.*v44)+((-8.*((v13**2)*v44))+((4.*(v22*v44))+aux144))); aux146=(32.*(v13*(v14*(v22*v34))))+((16.*(v23*(v24*v34)))+((-4.*(v34**2))+aux145)); aux147=(-16.*((v14**2)*(v22*v33)))+((-8.*((v24**2)*v33))+((16.*(v13*(v14*v34)))+aux146)); aux148=(16.*((v13**2)*(v24**2)))+((2.*v33)+((-8.*((v14**2)*v33))+((4.*(v22*v33))+aux147))); aux149=(16.*((v14**2)*(v23**2)))+((-32.*(v13*(v14*(v23*v24))))+((-4.*(v24**2))+aux148)); aux150=(2.*v22)+((-8.*((v13**2)*v22))+((-8.*((v14**2)*v22))+((-4.*(v23**2))+aux149))); aux151=((0.+16.j)*(v11*(v23*v44)))+((-8.*(v13*(v23*v44)))+(8.*(v12*(v33*v44)))); aux152=(4.*(v12*v44))+(((0.+-16.j)*(v12*(v13*v44)))+(((0.+8.j)*(v23*v44))+aux151)); aux153=((0.+-16.j)*(v11*(v24*v34)))+((8.*(v13*(v24*v34)))+((-8.*(v12*(v34**2)))+aux152)); aux154=(-8.*(v11*(v22*v34)))+((8.*(v14*(v23*v34)))+(((0.+-8.j)*(v24*v34))+aux153)); aux155=(8.*((v12**2)*v34))+(((0.+16.j)*(v12*(v14*v34)))+((-4.*(v22*v34))+aux154)); aux156=(4.*(v12*v33))+((-8.*(v14*(v24*v33)))+((-2.*v34)+((-4.*(v11*v34))+aux155))); aux157=((0.+16.j)*(v13*(v14*v24)))+((4.*(v23*v24))+((8.*(v11*(v23*v24)))+aux156)); aux158=((0.+-16.j)*((v14**2)*v23))+((-8.*(v12*(v13*v24)))+((-4.*(v14*v24))+aux157)); aux159=((0.+4.j)*v23)+(((0.+8.j)*(v11*v23))+((-4.*(v13*v23))+((-8.*(v12*(v14*v23)))+aux158))); aux160=(2.*v12)+(((0.+-8.j)*(v12*v13))+((4.*(v13*v14))+((8.*(v13*(v14*v22)))+aux159))); aux161=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux162=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux163=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux162))); aux164=2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux163))))); aux165=(-4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((16.*(v12*aux161))+aux164); aux166=(-16.*((v13**2)*(v22*v44)))+((-8.*((v23**2)*v44))+((4.*(v33*v44))+((8.*(v22*(v33*v44)))+aux165))); aux167=(-8.*(v22*(v34**2)))+((2.*v44)+((-8.*((v13**2)*v44))+((4.*(v22*v44))+aux166))); aux168=(32.*(v13*(v14*(v22*v34))))+((16.*(v23*(v24*v34)))+((-4.*(v34**2))+aux167)); aux169=(-16.*((v14**2)*(v22*v33)))+((-8.*((v24**2)*v33))+((16.*(v13*(v14*v34)))+aux168)); aux170=(16.*((v13**2)*(v24**2)))+((2.*v33)+((-8.*((v14**2)*v33))+((4.*(v22*v33))+aux169))); aux171=(16.*((v14**2)*(v23**2)))+((-32.*(v13*(v14*(v23*v24))))+((-4.*(v24**2))+aux170)); aux172=(2.*v22)+((-8.*((v13**2)*v22))+((-8.*((v14**2)*v22))+((-4.*(v23**2))+aux171))); aux173=(2.*v44)+(4.*(v33*(1.+(v11+((-2.*(v14**2))+((2.*v44)+(2.*(v11*v44)))))))); aux174=1.+(((0.+8.j)*(v14*v34))+((-8.*(v34**2))+((-8.*(v11*(v34**2)))+aux173))); aux175=((0.+-2.j)*(v22*(1.+(2.*v44))))+(4.*(v12*(v23+((-2.*(v24*v34))+(2.*(v23*v44)))))); aux176=((0.+4.j)*(v24**2))+((4.*(v14*v34))+((8.*(v14*(v22*v34)))+(((0.+-2.j)*v44)+aux175))); aux177=(2.*(v22*aux174))+(4.*(v13*((0.+-1.j)+((-8.*(v14*(v23*v24)))+aux176)))); aux178=(-4.*((v13**2)*(1.+((-4.*(v24**2))+((2.*v44)+(v22*(2.+(4.*v44))))))))+aux177; aux179=(8.*(v33*v44))+((8.*(v11*(v33*v44)))+((-16.*((v12**2)*(v33*v44)))+aux178)); aux180=((0.+16.j)*(v12*(v23*v44)))+((-16.*((v23**2)*v44))+((-16.*(v11*((v23**2)*v44)))+aux179)); aux181=(-8.*(v34**2))+((-8.*(v11*(v34**2)))+((16.*((v12**2)*(v34**2)))+((2.*v44)+aux180))); aux182=((0.+-16.j)*(v12*(v24*v34)))+((32.*(v23*(v24*v34)))+((32.*(v11*(v23*(v24*v34))))+aux181)); aux183=(-16.*(v11*((v24**2)*v33)))+(((0.+8.j)*(v14*v34))+((-32.*(v12*(v14*(v23*v34))))+aux182)); aux184=(-8.*((v14**2)*v33))+((32.*(v12*(v14*(v24*v33))))+((-16.*((v24**2)*v33))+aux183)); aux185=(-4.*(v24**2))+((4.*v33)+((4.*(v11*v33))+((-8.*((v12**2)*v33))+aux184))); aux186=(-8.*(v11*(v23**2)))+((16.*((v14**2)*(v23**2)))+(((0.+-16.j)*(v14*(v23*v24)))+aux185)); aux187=(-4.*(v23**2))+((4.*(v13*((0.+-1.j)+(((0.+-2.j)*v22)+v24))))+((2.*v33)+(4.*(v22*v33)))); aux188=(-4.*(v24*v33))+((4.*(v14*v34))+((4.*(v23*v34))+(v13*(-2.+(((0.+8.j)*v24)+(-4.*v44)))))); aux189=(v12*(((0.+8.j)*(v14*v23))+((-2.*v24)+aux188)))+((2.*(v23*v44))+(4.*(v11*(v23*v44)))); aux190=((0.+8.j)*(v11*(v22*v34)))+((-4.*(v13*(v22*v34)))+((-2.*(v24*v34))+((-4.*(v11*(v24*v34)))+aux189))); aux191=((0.+-8.j)*((v12**2)*v34))+((-2.*(v13*v34))+(((0.+4.j)*(v22*v34))+aux190)); aux192=(v14*(1.+((2.*v22)+aux187)))+(((0.+2.j)*v34)+(((0.+4.j)*(v11*v34))+aux191)); aux193=((0.+-4.j)*(v23*v24))+(((0.+-8.j)*(v11*(v23*v24)))+((4.*(v13*(v23*v24)))+aux192)); aux194=v14+((2.*(v14*v22))+(((0.+4.j)*(v14*v24))+((2.*(v24*v34))+(-2.*(v23*v44))))); aux195=(-4.*(v34**2))+((-4.*(v13*((0.+1.j)+(v24+((0.+2.j)*v44)))))+((2.*v44)+(4.*(v33*v44)))); aux196=(2.*(v13*(aux194-v23)))+(v12*(1.+((-4.*(v14*v23))+((2.*v33)+(((0.+8.j)*(v14*v34))+aux195))))); aux197=((0.+-8.j)*(v11*(v24*v34)))+(((0.+4.j)*(v23*v44))+(((0.+8.j)*(v11*(v23*v44)))+aux196)); aux198=(-4.*(v11*(v22*v34)))+((4.*(v14*(v23*v34)))+(((0.+-4.j)*(v24*v34))+aux197)); aux199=(-4.*(v14*(v24*v33)))+((-2.*(v11*v34))+((4.*((v12**2)*v34))+((-2.*(v22*v34))+aux198))); aux200=((0.+-8.j)*((v14**2)*v23))+((-2.*(v14*v24))+((2.*(v23*v24))+((4.*(v11*(v23*v24)))+aux199))); aux201=(r4*(v23+((2.*(v11*v23))+((-4.*((v14**2)*v23))+aux193))))+(r2*((((0.+2.j)*v23)+(((0.+4.j)*(v11*v23))+aux200))-v34)); aux202=4.*((v12**2)*(1.+((4.*(v34**2))+((2.*v44)+(-2.*(v33*(1.+(2.*v44)))))))); aux203=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(-2.+((4.*v33)+((-8.*(v34**2))+((-4.*v44)+(8.*(v33*v44))))))); aux204=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((-2.*v44)+((4.*(v33*v44))+aux203))); aux205=2.*(v11*(-1.+((4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux204))))); aux206=(2.*(v24*((v14*(-1.+(2.*v33)))-(((0.+1.j)+(2.*v13))*v34))))+(v23*((0.+1.j)+((-4.*(v14*v34))+(((0.+2.j)*v44)+(v13*(2.+(4.*v44))))))); aux207=(4.*(v33*v44))+((8.*(v22*(v33*v44)))+(aux202+(aux205+(8.*(v12*aux206))))); aux208=((0.+-16.j)*(v13*(v22*v44)))+((-16.*((v13**2)*(v22*v44)))+((-8.*((v23**2)*v44))+aux207)); aux209=(-2.*v44)+(((0.+-8.j)*(v13*v44))+((-8.*((v13**2)*v44))+((-4.*(v22*v44))+aux208))); aux210=(32.*(v13*(v14*(v22*v34))))+((16.*(v23*(v24*v34)))+((-4.*(v34**2))+((-8.*(v22*(v34**2)))+aux209))); aux211=((0.+8.j)*(v14*v34))+((16.*(v13*(v14*v34)))+(((0.+16.j)*(v14*(v22*v34)))+aux210)); aux212=(4.*(v22*v33))+((-16.*((v14**2)*(v22*v33)))+((-8.*((v24**2)*v33))+aux211)); aux213=((0.+16.j)*(v13*(v24**2)))+((16.*((v13**2)*(v24**2)))+((2.*v33)+((-8.*((v14**2)*v33))+aux212))); aux214=((0.+-16.j)*(v14*(v23*v24)))+((-32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux213)); aux215=(8.*((v14**2)*v22))+((-4.*(v23**2))+((16.*((v14**2)*(v23**2)))+aux214)); aux216=(4.*(v14**2))+((-2.*v22)+(((0.+-8.j)*(v13*v22))+((-8.*((v13**2)*v22))+aux215))); aux217=((0.+-2.j)*aux201)+(r3*(-1.+(((0.+-4.j)*v13)+((-4.*(v13**2))+aux216)))); aux218=((0.+1.j)*(r1*(1.+(((0.+8.j)*(v12*v23))+((-8.*(v23**2))+aux186)))))+aux217; aux219=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux220=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux221=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux220))); aux222=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux221))))); aux223=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux219))+aux222); aux224=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux223))); aux225=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux224))); aux226=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux225)); aux227=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux226)); aux228=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux227))); aux229=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux228)); aux230=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux229))); aux231=(0.+1.j)*(b12*(b23+(((0.+4.j)*(b14*b24))+((-2.*(b24*b34))+(2.*(b23*b44)))))); aux232=((0.+2.j)*(b14*(b22*b34)))+(((0.+-1.j)*(b13*(b22+((-2.*(b24**2))+(b44+(2.*(b22*b44)))))))+aux231); aux233=np.conjugate((((0.+-2.j)*(b14*(b23*b24)))+(((0.+1.j)*(b14*b34))+aux232))); aux234=(-4.*(b11*(1.+((-4.*(b24**2))+((2.*b44)+(b22*(2.+(4.*b44))))))))+(8.*(((2.*((b14**2)*b22))+(((b12**2)*(1.+(2.*b44)))+aux233))-(b22*b44))); aux235=((0.+4.j)*b13)+((8.*(b14**2))+((-4.*b22)+((8.*(b24**2))+((-4.*b44)+aux234)))); aux236=-2.*((b12**2)*(1.+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))))); aux237=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux238=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux239=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux238))); aux240=(8.*(b12*aux237))+(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux239))))); aux241=(-4.*((b23**2)*b44))+((2.*(b33*b44))+((4.*(b22*(b33*b44)))+(aux236+aux240))); aux242=(-4.*((b13**2)*b44))+((2.*(b22*b44))+((-8.*((b13**2)*(b22*b44)))+aux241)); aux243=(16.*(b13*(b14*(b22*b34))))+((8.*(b23*(b24*b34)))+((-4.*(b22*(b34**2)))+aux242)); aux244=(-8.*((b14**2)*(b22*b33)))+((-4.*((b24**2)*b33))+((8.*(b13*(b14*b34)))+aux243)); aux245=(8.*((b13**2)*(b24**2)))+((-4.*((b14**2)*b33))+((2.*(b22*b33))+aux244)); aux246=(-4.*((b14**2)*b22))+((8.*((b14**2)*(b23**2)))+((-16.*(b13*(b14*(b23*b24))))+aux245)); aux247=(-2.*b33)+((4.*(b34**2))+((-2.*b44)+(-2.*((-4.*((b13**2)*b22))+aux246)))); aux248=(4.*(b13**2))+((4.*(b14**2))+((-2.*b22)+((4.*(b23**2))+((4.*(b24**2))+aux247)))); aux249=(b14*((-2.*(b23*b24))+(b34+(2.*(b22*b34)))))+(b12*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux250=(-4.*((b23**2)*b44))+((2.*(b33*b44))+((4.*(b22*(b33*b44)))+((b12**2)*(2.+(4.*b44))))); aux251=(-4.*((b24**2)*b33))+((8.*(b23*(b24*b34)))+((-2.*(b34**2))+((-4.*(b22*(b34**2)))+aux250))); aux252=(4.*((b14**2)*b22))+((-2.*(b23**2))+((-8.*(b12*(b14*b24)))+(b33+((2.*(b22*b33))+aux251)))); aux253=((2.*(b14**2))+aux252)-(b11*(1.+((-4.*(b24**2))+((2.*b44)+(b22*(2.+(4.*b44))))))); aux254=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux255=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux256=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux255))); aux257=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux256))))); aux258=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux254))+aux257); aux259=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux258))); aux260=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux259))); aux261=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux260)); aux262=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux261)); aux263=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux262))); aux264=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux263)); aux265=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux264))); aux266=-2.*(b13*((b14+((2.*(b14*b22))+((2.*(b24*b34))+(-2.*(b23*b44)))))-b23)); aux267=(4.*(b14*b23))+((4.*(b13*b24))+((-2.*b33)+((4.*(b34**2))+((-2.*b44)+(-4.*(b33*b44)))))); aux268=(4.*(b11*(b22*b34)))+((-4.*(b14*(b23*b34)))+(aux266+(b12*(-1.+aux267)))); aux269=(4.*(b14*(b24*b33)))+(b34+((2.*(b11*b34))+((-4.*((b12**2)*b34))+((2.*(b22*b34))+aux268)))); aux270=(0.+2.j)*(((2.*(b14*b24))+((-2.*(b23*b24))+((-4.*(b11*(b23*b24)))+aux269)))*s2); aux271=(4.*((b12**2)*b34))+((1.+(2.*b11))*(((2.*(b23*b24))+(-2.*(b22*b34)))-b34)); aux272=(-4.*(b12*(b14*b23)))+((2.*(b13*(b14+((2.*(b14*b22))+(-2.*(b12*b24))))))+aux271); aux273=b12*(b13+(b24+((2.*(b24*b33))+((-2.*((b14+b23)*b34))+(2.*(b13*b44)))))); aux274=(4.*(b11*(b24*b34)))+((-2.*(b23*b44))+((-4.*(b11*(b23*b44)))+(2.*aux273))); aux275=(-4.*(b13*(b23*b24)))+((2.*(b13*b34))+((4.*(b13*(b22*b34)))+((2.*(b24*b34))+aux274))); aux276=b14*(1.+((-4.*(b23**2))+((4.*(b13*b24))+((2.*b33)+(b22*(2.+(4.*b33))))))); aux277=(0.+2.j)*(((((-2.*(b11*b23))+((4.*((b14**2)*b23))+aux275))-aux276)-b23)*s4); aux278=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux279=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux280=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux279))); aux281=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux280))))); aux282=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux278))+aux281); aux283=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux282))); aux284=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux283))); aux285=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux284)); aux286=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux285)); aux287=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux286))); aux288=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux287)); aux289=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux288))); aux290=(0.+1.j)*(b12*(b23+(((0.+4.j)*(b14*b24))+((-2.*(b24*b34))+(2.*(b23*b44)))))); aux291=((0.+2.j)*(b14*(b22*b34)))+(((0.+-1.j)*(b13*(b22+((-2.*(b24**2))+(b44+(2.*(b22*b44)))))))+aux290); aux292=np.conjugate((((0.+-2.j)*(b14*(b23*b24)))+(((0.+1.j)*(b14*b34))+aux291))); aux293=(-4.*(b11*(1.+((-4.*(b24**2))+((2.*b44)+(b22*(2.+(4.*b44))))))))+(8.*(((2.*((b14**2)*b22))+(((b12**2)*(1.+(2.*b44)))+aux292))-(b22*b44))); aux294=((0.+4.j)*b13)+((8.*(b14**2))+((-4.*b22)+((8.*(b24**2))+((-4.*b44)+aux293)))); aux295=-2.*((b12**2)*(1.+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))))); aux296=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux297=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux298=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux297))); aux299=(8.*(b12*aux296))+(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux298))))); aux300=(-4.*((b23**2)*b44))+((2.*(b33*b44))+((4.*(b22*(b33*b44)))+(aux295+aux299))); aux301=(-4.*((b13**2)*b44))+((2.*(b22*b44))+((-8.*((b13**2)*(b22*b44)))+aux300)); aux302=(16.*(b13*(b14*(b22*b34))))+((8.*(b23*(b24*b34)))+((-4.*(b22*(b34**2)))+aux301)); aux303=(-8.*((b14**2)*(b22*b33)))+((-4.*((b24**2)*b33))+((8.*(b13*(b14*b34)))+aux302)); aux304=(8.*((b13**2)*(b24**2)))+((-4.*((b14**2)*b33))+((2.*(b22*b33))+aux303)); aux305=(-4.*((b14**2)*b22))+((8.*((b14**2)*(b23**2)))+((-16.*(b13*(b14*(b23*b24))))+aux304)); aux306=(-2.*b33)+((4.*(b34**2))+((-2.*b44)+(-2.*((-4.*((b13**2)*b22))+aux305)))); aux307=(4.*(b13**2))+((4.*(b14**2))+((-2.*b22)+((4.*(b23**2))+((4.*(b24**2))+aux306)))); aux308=(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux289)))*(s3*(-1.+((-2.+aux294)/(-1.+aux307)))); aux309=(-4.*(b23*((1.+((-4.*(b14**2))+((2.*b44)+(b11*(2.+(4.*b44))))))*s2)))+(aux270+((4.*(aux272*s4))+(aux277+aux308))); aux310=(8.*(b24*(((-2.*(b13*b14))+(b34+(2.*(b11*b34))))*s2)))+((8.*(b12*((b13+((-2.*(b14*b34))+(2.*(b13*b44))))*s2)))+aux309); aux311=((0.+2.j)*(aux253*s1))+(((0.+1.j)*((1.+((-4.*(b13**2))+((-4.*(b14**2))+aux265)))*s1))+aux310); aux312=(-4.*(b13*((1.+((-4.*(b24**2))+((2.*b44)+(b22*(2.+(4.*b44))))))*s1)))+((8.*(aux249*s1))+aux311); aux313=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux314=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux315=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux314))); aux316=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux315))))); aux317=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux313))+aux316); aux318=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux317))); aux319=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux318))); aux320=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux319)); aux321=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux320)); aux322=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux321))); aux323=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux322)); aux324=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux323))); aux325=(s3*(1.+((-2.+aux235)/(-1.+aux248))))+(aux312/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux324)))); aux326=(((0.+1.j)*(r2*aux160))/(1.+((-4.*(v13**2))+((-4.*(v14**2))+aux172))))+((aux218/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux230))))+aux325); aux327=aux99+(aux129+((aux138/(1.+((-4.*(v13**2))+((-4.*(v14**2))+aux150))))+aux326)); aux328=aux46+(((aux53*s4)/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux65))))+aux327); output=0.25*(aux25+aux328); return output def lineal4(V,B,R,S): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) r1,r2,r3,r4=R[0],R[1],R[2],R[3] s1,s2,s3,s4=S[0],S[1],S[2],S[3] aux0=((0.+2.j)*b33)+((2.*(b24*b33))+(((0.+2.j)*(b22*(1.+(2.*b33))))+(-2.*(b23*b34)))); aux1=2.*(b14*(((0.+1.j)+(((0.+-4.j)*(b23**2))+(b24+aux0)))-(b13*(1.+(2.*b22))))); aux2=(-2.*b33)+(((0.+8.j)*(b23*b34))+((4.*(b34**2))+((-2.*b44)+(-4.*(b33*b44))))); aux3=-1.+((4.*(b14*b23))+((4.*(b24*((0.+-1.j)+(b13+((0.+-2.j)*b33)))))+aux2)); aux4=((0.+-8.j)*(b13*(b22*b34)))+((-4.*(b13*(b24*b34)))+(aux1+((4.*(b13*(b23*b44)))+(b12*aux3)))); aux5=(-4.*((b12**2)*b34))+(((0.+-4.j)*(b13*b34))+((2.*(b22*b34))+((4.*(b11*(b22*b34)))+aux4))); aux6=(-4.*(b11*(b23*b24)))+(((0.+8.j)*(b13*(b23*b24)))+(b34+((2.*(b11*b34))+aux5))); aux7=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux8=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux9=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux8))); aux10=(16.*(b12*aux7))+(2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux9)))))); aux11=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+aux10; aux12=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux11))); aux13=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux12))); aux14=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux13)); aux15=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux14)); aux16=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux15))); aux17=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux16)); aux18=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux17))); aux19=((0.+2.j)*(((2.*(b13*b23))+((-2.*(b23*b24))+aux6))*s1))/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux18))); aux20=4.*((b13**2)*(-1.+(((0.+-4.j)*b24)+((4.*(b24**2))+(-4.*((1.+b22)*b44)))))); aux21=(-2.*(b14*((1.+b22)*b34)))+((b12*(((0.+-1.j)+(2.*b24))*b34))+(-2.*(b12*(b23*b44)))); aux22=(-4.*(b22*b44))+((8.*((b23**2)*b44))+(-2.*(b33*(1.+(4.*((1.+b22)*b44)))))); aux23=((0.+-4.j)*(b24*(1.+((2.*b33)+((0.+-4.j)*(b23*b34))))))+((-4.*b44)+aux22); aux24=((b24**2)*(4.+(8.*b33)))+(((0.+8.j)*(b23*b34))+((8.*(b34**2))+((8.*(b22*(b34**2)))+aux23))); aux25=(-16.*(b13*((b14*(b23*((0.+-1.j)+(2.*b24))))+aux21)))+(-2.*(b11*(-1.+aux24))); aux26=(8.*(b33*b44))+((-16.*((b12**2)*(b33*b44)))+((8.*(b22*(b33*b44)))+(aux20+aux25))); aux27=(4.*b44)+((-8.*((b12**2)*b44))+((4.*(b22*b44))+((-8.*((b23**2)*b44))+aux26))); aux28=(-8.*(b34**2))+((16.*((b12**2)*(b34**2)))+((-8.*(b22*(b34**2)))+aux27)); aux29=((0.+-8.j)*(b23*b34))+((-32.*(b12*(b14*(b23*b34))))+((16.*(b23*(b24*b34)))+aux28)); aux30=((0.+8.j)*(b24*b33))+((32.*(b12*(b14*(b24*b33))))+((-8.*((b24**2)*b33))+aux29)); aux31=((0.+-16.j)*(b12*(b14*b33)))+((-16.*((b14**2)*b33))+((-16.*((b14**2)*(b22*b33)))+aux30)); aux32=((0.+4.j)*b24)+((16.*(b12*(b14*b24)))+((-4.*(b24**2))+((2.*b33)+aux31))); aux33=(-8.*(b14**2))+((-8.*((b14**2)*b22))+((16.*((b14**2)*(b23**2)))+aux32)); aux34=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux35=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux36=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux35))); aux37=(16.*(b12*aux34))+(2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux36)))))); aux38=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+aux37; aux39=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux38))); aux40=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux39))); aux41=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux40)); aux42=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux41)); aux43=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux42))); aux44=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux43)); aux45=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux44))); aux46=((0.+1.j)*((1.+(((0.+-8.j)*(b12*b14))+aux33))*s2))/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux45))); aux47=(4.*((b12**2)*b34))+((1.+(2.*b11))*(((2.*(b23*b24))+(-2.*(b22*b34)))-b34)); aux48=(-4.*(b12*(b14*b23)))+((2.*(b13*(b14+((2.*(b14*b22))+(-2.*(b12*b24))))))+aux47); aux49=b12*(b13+(b24+((2.*(b24*b33))+((-2.*((b14+b23)*b34))+(2.*(b13*b44)))))); aux50=(4.*(b11*(b24*b34)))+((-2.*(b23*b44))+((-4.*(b11*(b23*b44)))+(2.*aux49))); aux51=(-4.*(b13*(b23*b24)))+((2.*(b13*b34))+((4.*(b13*(b22*b34)))+((2.*(b24*b34))+aux50))); aux52=b14*(1.+((-4.*(b23**2))+((4.*(b13*b24))+((2.*b33)+(b22*(2.+(4.*b33))))))); aux53=(4.*aux48)+((0.+2.j)*((((-2.*(b11*b23))+((4.*((b14**2)*b23))+aux51))-aux52)-b23)); aux54=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux55=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux56=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux55))); aux57=(16.*(b12*aux54))+(2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux56)))))); aux58=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+aux57; aux59=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux58))); aux60=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux59))); aux61=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux60)); aux62=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux61)); aux63=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux62))); aux64=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux63)); aux65=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux64))); aux66=(8.*(v11*(v24*v34)))+((8.*(v12*(v13*v44)))+((-4.*(v23*v44))+(-8.*(v11*(v23*v44))))); aux67=((0.+-16.j)*(v11*(v22*v34)))+((8.*(v13*(v22*v34)))+((-8.*(v12*(v23*v34)))+((4.*(v24*v34))+aux66))); aux68=((0.+16.j)*((v12**2)*v34))+((4.*(v13*v34))+((-8.*(v12*(v14*v34)))+(((0.+-8.j)*(v22*v34))+aux67))); aux69=(-8.*(v14*(v22*v33)))+((8.*(v12*(v24*v33)))+(((0.+-4.j)*v34)+(((0.+-8.j)*(v11*v34))+aux68))); aux70=((0.+16.j)*(v11*(v23*v24)))+((-8.*(v13*(v23*v24)))+((-4.*(v14*v33))+aux69)); aux71=((0.+-16.j)*(v12*(v13*v24)))+((-8.*(v13*(v14*v24)))+(((0.+8.j)*(v23*v24))+aux70)); aux72=((0.+-16.j)*(v12*(v14*v23)))+((8.*((v14**2)*v23))+((8.*(v14*(v23**2)))+((4.*(v12*v24))+aux71))); aux73=(-4.*(v14*v22))+(((0.+16.j)*(v13*(v14*v22)))+((-2.*v23)+((-4.*(v11*v23))+aux72))); aux74=(0.+1.j)*(r3*((4.*(v12*v13))+((-2.*v14)+(((0.+8.j)*(v13*v14))+aux73)))); aux75=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux76=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux77=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux76))); aux78=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux77))))); aux79=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux75))+aux78); aux80=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux79))); aux81=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux80))); aux82=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux81)); aux83=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux82)); aux84=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux83))); aux85=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux84)); aux86=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux85))); aux87=(8.*(v12*(v34**2)))+((-4.*(v12*v44))+((8.*(v13*(v23*v44)))+(-8.*(v12*(v33*v44))))); aux88=((0.+-16.j)*(v12*(v23*v34)))+((-8.*(v14*(v23*v34)))+((-8.*(v13*(v24*v34)))+aux87)); aux89=(4.*(v22*v34))+((8.*(v11*(v22*v34)))+(((0.+16.j)*(v13*(v22*v34)))+aux88)); aux90=(2.*v34)+((4.*(v11*v34))+((-8.*((v12**2)*v34))+(((0.+8.j)*(v13*v34))+aux89))); aux91=((0.+-16.j)*(v14*(v22*v33)))+(((0.+16.j)*(v12*(v24*v33)))+((8.*(v14*(v24*v33)))+aux90)); aux92=((0.+-16.j)*(v13*(v23*v24)))+((-4.*(v12*v33))+(((0.+-8.j)*(v14*v33))+aux91)); aux93=(8.*(v12*(v13*v24)))+((4.*(v14*v24))+((-4.*(v23*v24))+((-8.*(v11*(v23*v24)))+aux92))); aux94=(8.*(v12*(v14*v23)))+(((0.+16.j)*(v14*(v23**2)))+(((0.+8.j)*(v12*v24))+aux93)); aux95=(-4.*(v13*v14))+(((0.+-8.j)*(v14*v22))+((-8.*(v13*(v14*v22)))+((4.*(v13*v23))+aux94))); aux96=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux97=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux98=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux97))); aux99=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux98))))); aux100=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux96))+aux99); aux101=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux100))); aux102=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux101))); aux103=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux102)); aux104=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux103)); aux105=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux104))); aux106=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux105)); aux107=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux106))); aux108=((0.+1.j)*(r1*((-2.*v12)+(((0.+-4.j)*v14)+aux95))))/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux107))); aux109=(16.*((v12**2)*(v33*v44)))+((-8.*(v22*(v33*v44)))+(-16.*(v11*(v22*(v33*v44))))); aux110=(16.*(v11*((v23**2)*v44)))+((-8.*(v33*v44))+((-16.*(v11*(v33*v44)))+aux109)); aux111=(16.*((v13**2)*(v22*v44)))+((-32.*(v12*(v13*(v23*v44))))+((8.*((v23**2)*v44))+aux110)); aux112=(8.*((v12**2)*v44))+((16.*((v13**2)*v44))+((-4.*(v22*v44))+((-8.*(v11*(v22*v44)))+aux111))); aux113=(8.*(v22*(v34**2)))+((16.*(v11*(v22*(v34**2))))+((-4.*v44)+((-8.*(v11*v44))+aux112))); aux114=(8.*(v34**2))+((16.*(v11*(v34**2)))+((-16.*((v12**2)*(v34**2)))+aux113)); aux115=(32.*(v12*(v13*(v24*v34))))+((-16.*(v23*(v24*v34)))+((-32.*(v11*(v23*(v24*v34))))+aux114)); aux116=((0.+-8.j)*(v23*v34))+(((0.+-16.j)*(v11*(v23*v34)))+((32.*(v12*(v14*(v23*v34))))+aux115)); aux117=((0.+16.j)*(v12*(v13*v34)))+((-32.*(v13*(v14*v34)))+((-32.*(v13*(v14*(v22*v34))))+aux116)); aux118=(-32.*(v12*(v14*(v24*v33))))+((8.*((v24**2)*v33))+((16.*(v11*((v24**2)*v33)))+aux117)); aux119=(16.*((v14**2)*(v22*v33)))+(((0.+8.j)*(v24*v33))+(((0.+16.j)*(v11*(v24*v33)))+aux118)); aux120=(-4.*(v11*v33))+(((0.+-16.j)*(v12*(v14*v33)))+((16.*((v14**2)*v33))+aux119)); aux121=(4.*(v24**2))+((8.*(v11*(v24**2)))+((-16.*((v13**2)*(v24**2)))+((-2.*v33)+aux120))); aux122=((0.+-16.j)*((v13**2)*v24))+((-16.*(v12*(v14*v24)))+((32.*(v13*(v14*(v23*v24))))+aux121)); aux123=(-16.*((v14**2)*(v23**2)))+(((0.+4.j)*v24)+(((0.+8.j)*(v11*v24))+aux122)); aux124=(8.*(v14**2))+((8.*((v14**2)*v22))+(((0.+16.j)*(v13*(v14*v23)))+aux123)); aux125=(0.+1.j)*(r2*(-1.+((-2.*v11)+((4.*(v13**2))+(((0.+-8.j)*(v12*v14))+aux124))))); aux126=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux127=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux128=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux127))); aux129=2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux128))))); aux130=(-4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((16.*(v12*aux126))+aux129); aux131=(-16.*((v13**2)*(v22*v44)))+((-8.*((v23**2)*v44))+((4.*(v33*v44))+((8.*(v22*(v33*v44)))+aux130))); aux132=(-8.*(v22*(v34**2)))+((2.*v44)+((-8.*((v13**2)*v44))+((4.*(v22*v44))+aux131))); aux133=(32.*(v13*(v14*(v22*v34))))+((16.*(v23*(v24*v34)))+((-4.*(v34**2))+aux132)); aux134=(-16.*((v14**2)*(v22*v33)))+((-8.*((v24**2)*v33))+((16.*(v13*(v14*v34)))+aux133)); aux135=(16.*((v13**2)*(v24**2)))+((2.*v33)+((-8.*((v14**2)*v33))+((4.*(v22*v33))+aux134))); aux136=(16.*((v14**2)*(v23**2)))+((-32.*(v13*(v14*(v23*v24))))+((-4.*(v24**2))+aux135)); aux137=(2.*v22)+((-8.*((v13**2)*v22))+((-8.*((v14**2)*v22))+((-4.*(v23**2))+aux136))); aux138=((0.+16.j)*((v12**2)*(v33*v44)))+(((0.+-8.j)*(v22*(v33*v44)))+((0.+-16.j)*(v11*(v22*(v33*v44))))); aux139=((0.+16.j)*(v11*((v23**2)*v44)))+(((0.+-4.j)*(v33*v44))+(((0.+-8.j)*(v11*(v33*v44)))+aux138)); aux140=((0.+16.j)*((v13**2)*(v22*v44)))+(((0.+-32.j)*(v12*(v13*(v23*v44))))+(((0.+8.j)*((v23**2)*v44))+aux139)); aux141=((0.+8.j)*((v13**2)*v44))+(((0.+-4.j)*(v22*v44))+(((0.+-8.j)*(v11*(v22*v44)))+aux140)); aux142=((0.+-2.j)*v44)+(((0.+-4.j)*(v11*v44))+(((0.+8.j)*((v12**2)*v44))+aux141)); aux143=((0.+-16.j)*((v12**2)*(v34**2)))+(((0.+8.j)*(v22*(v34**2)))+(((0.+16.j)*(v11*(v22*(v34**2))))+aux142)); aux144=((0.+-32.j)*(v11*(v23*(v24*v34))))+(((0.+4.j)*(v34**2))+(((0.+8.j)*(v11*(v34**2)))+aux143)); aux145=((0.+32.j)*(v12*(v13*(v24*v34))))+(((0.+-16.j)*(v23*(v24*v34)))+aux144); aux146=(-8.*(v23*v34))+((-16.*(v11*(v23*v34)))+(((0.+32.j)*(v12*(v14*(v23*v34))))+aux145)); aux147=((0.+-16.j)*(v13*(v14*v34)))+(((0.+-32.j)*(v13*(v14*(v22*v34))))+aux146); aux148=((0.+8.j)*((v24**2)*v33))+(((0.+16.j)*(v11*((v24**2)*v33)))+((16.*(v12*(v13*v34)))+aux147)); aux149=(8.*(v24*v33))+((16.*(v11*(v24*v33)))+(((0.+-32.j)*(v12*(v14*(v24*v33))))+aux148)); aux150=((0.+-12.j)*(v22*v33))+(((0.+-24.j)*(v11*(v22*v33)))+(((0.+16.j)*((v14**2)*(v22*v33)))+aux149)); aux151=((0.+24.j)*((v12**2)*v33))+((-16.*(v12*(v14*v33)))+(((0.+8.j)*((v14**2)*v33))+aux150)); aux152=((0.+-16.j)*((v13**2)*(v24**2)))+(((0.+-6.j)*v33)+(((0.+-12.j)*(v11*v33))+aux151)); aux153=((0.+32.j)*(v13*(v14*(v23*v24))))+(((0.+4.j)*(v24**2))+(((0.+8.j)*(v11*(v24**2)))+aux152)); aux154=(8.*(v11*v24))+((-16.*((v13**2)*v24))+(((0.+-16.j)*(v12*(v14*v24)))+aux153)); aux155=((0.+24.j)*(v11*(v23**2)))+(((0.+-16.j)*((v14**2)*(v23**2)))+((4.*v24)+aux154)); aux156=((0.+-48.j)*(v12*(v13*v23)))+((16.*(v13*(v14*v23)))+(((0.+12.j)*(v23**2))+aux155)); aux157=((0.+-12.j)*(v11*v22))+(((0.+24.j)*((v13**2)*v22))+(((0.+8.j)*((v14**2)*v22))+aux156)); aux158=((0.+12.j)*(v13**2))+((-8.*(v12*v14))+(((0.+4.j)*(v14**2))+(((0.+-6.j)*v22)+aux157))); aux159=(0.+1.j)*(r4*((0.+-3.j)+(((0.+-6.j)*v11)+(((0.+12.j)*(v12**2))+aux158)))); aux160=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux161=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux162=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux161))); aux163=2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux162))))); aux164=(-4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((16.*(v12*aux160))+aux163); aux165=(-16.*((v13**2)*(v22*v44)))+((-8.*((v23**2)*v44))+((4.*(v33*v44))+((8.*(v22*(v33*v44)))+aux164))); aux166=(-8.*(v22*(v34**2)))+((2.*v44)+((-8.*((v13**2)*v44))+((4.*(v22*v44))+aux165))); aux167=(32.*(v13*(v14*(v22*v34))))+((16.*(v23*(v24*v34)))+((-4.*(v34**2))+aux166)); aux168=(-16.*((v14**2)*(v22*v33)))+((-8.*((v24**2)*v33))+((16.*(v13*(v14*v34)))+aux167)); aux169=(16.*((v13**2)*(v24**2)))+((2.*v33)+((-8.*((v14**2)*v33))+((4.*(v22*v33))+aux168))); aux170=(16.*((v14**2)*(v23**2)))+((-32.*(v13*(v14*(v23*v24))))+((-4.*(v24**2))+aux169)); aux171=(2.*v22)+((-8.*((v13**2)*v22))+((-8.*((v14**2)*v22))+((-4.*(v23**2))+aux170))); aux172=4.*((v13**2)*(-1.+(((0.+4.j)*v24)+((4.*(v24**2))+(-4.*((1.+v22)*v44)))))); aux173=(-2.*(v14*((1.+v22)*v34)))+((v12*(((0.+1.j)+(2.*v24))*v34))+(-2.*(v12*(v23*v44)))); aux174=(-4.*(v22*v44))+((8.*((v23**2)*v44))+(-2.*(v33*(1.+(4.*((1.+v22)*v44)))))); aux175=((0.+4.j)*(v24*(1.+((2.*v33)+((0.+4.j)*(v23*v34))))))+((-4.*v44)+aux174); aux176=((v24**2)*(4.+(8.*v33)))+(((0.+-8.j)*(v23*v34))+((8.*(v34**2))+((8.*(v22*(v34**2)))+aux175))); aux177=(-16.*(v13*((v14*(v23*((0.+1.j)+(2.*v24))))+aux173)))+(-2.*(v11*(-1.+aux176))); aux178=(8.*(v33*v44))+((-16.*((v12**2)*(v33*v44)))+((8.*(v22*(v33*v44)))+(aux172+aux177))); aux179=(4.*v44)+((-8.*((v12**2)*v44))+((4.*(v22*v44))+((-8.*((v23**2)*v44))+aux178))); aux180=(-8.*(v34**2))+((16.*((v12**2)*(v34**2)))+((-8.*(v22*(v34**2)))+aux179)); aux181=((0.+8.j)*(v23*v34))+((-32.*(v12*(v14*(v23*v34))))+((16.*(v23*(v24*v34)))+aux180)); aux182=((0.+-8.j)*(v24*v33))+((32.*(v12*(v14*(v24*v33))))+((-8.*((v24**2)*v33))+aux181)); aux183=((0.+16.j)*(v12*(v14*v33)))+((-16.*((v14**2)*v33))+((-16.*((v14**2)*(v22*v33)))+aux182)); aux184=((0.+-4.j)*v24)+((16.*(v12*(v14*v24)))+((-4.*(v24**2))+((2.*v33)+aux183))); aux185=(-8.*(v14**2))+((-8.*((v14**2)*v22))+((16.*((v14**2)*(v23**2)))+aux184)); aux186=(v22*(2.+((8.*(v34**2))+((v33*(4.+(-8.*v44)))+(-4.*v44)))))+((-2.*v44)+((-4.*(v33*v44))+((v23**2)*(-4.+(8.*v44))))); aux187=(8.*((v24**2)*v33))+((-8.*(v23*(((0.+1.j)+(2.*v24))*v34)))+((4.*(v34**2))+aux186)); aux188=((0.+4.j)*v24)+((4.*(v24**2))+((2.*v33)+(((0.+8.j)*(v24*v33))+aux187))); aux189=(v14*((0.+1.j)+(((0.+2.j)*v33)+((v24*(2.+(4.*v33)))+(-4.*(v23*v34))))))+(-2.*(v13*(v23+((((0.+1.j)+(2.*v24))*v34)+(-2.*(v23*v44)))))); aux190=(4.*(v33*v44))+((8.*(v22*(v33*v44)))+((-2.*(v11*(1.+aux188)))+(8.*(v12*aux189)))); aux191=(4.*(v22*v44))+((-16.*((v13**2)*(v22*v44)))+((-8.*((v23**2)*v44))+aux190)); aux192=(4.*((v12**2)*(1.+((4.*(v34**2))+((v33*(2.+(-4.*v44)))+(-2.*v44))))))+((2.*v44)+((-8.*((v13**2)*v44))+aux191)); aux193=((0.+8.j)*(v23*v34))+((16.*(v23*(v24*v34)))+((-4.*(v34**2))+((-8.*(v22*(v34**2)))+aux192))); aux194=(-8.*((v24**2)*v33))+((16.*(v13*(v14*v34)))+((32.*(v13*(v14*(v22*v34))))+aux193)); aux195=(-4.*(v22*v33))+((-16.*((v14**2)*(v22*v33)))+(((0.+-8.j)*(v24*v33))+aux194)); aux196=(-4.*(v24**2))+((16.*((v13**2)*(v24**2)))+((-2.*v33)+((-8.*((v14**2)*v33))+aux195))); aux197=((0.+-4.j)*v24)+(((0.+16.j)*((v13**2)*v24))+((-32.*(v13*(v14*(v23*v24))))+aux196)); aux198=((0.+-16.j)*(v13*(v14*v23)))+((4.*(v23**2))+((16.*((v14**2)*(v23**2)))+aux197)); aux199=(-4.*(v14**2))+((-2.*v22)+((8.*((v13**2)*v22))+((-8.*((v14**2)*v22))+aux198))); aux200=(-4.*(v23**2))+((4.*(v13*((0.+-1.j)+(((0.+-2.j)*v22)+v24))))+((2.*v33)+(4.*(v22*v33)))); aux201=(-4.*(v24*v33))+((4.*(v14*v34))+((4.*(v23*v34))+(v13*(-2.+(((0.+8.j)*v24)+(-4.*v44)))))); aux202=(v12*(((0.+8.j)*(v14*v23))+((-2.*v24)+aux201)))+((2.*(v23*v44))+(4.*(v11*(v23*v44)))); aux203=((0.+8.j)*(v11*(v22*v34)))+((-4.*(v13*(v22*v34)))+((-2.*(v24*v34))+((-4.*(v11*(v24*v34)))+aux202))); aux204=((0.+-8.j)*((v12**2)*v34))+((-2.*(v13*v34))+(((0.+4.j)*(v22*v34))+aux203)); aux205=(v14*(1.+((2.*v22)+aux200)))+(((0.+2.j)*v34)+(((0.+4.j)*(v11*v34))+aux204)); aux206=((0.+-4.j)*(v23*v24))+(((0.+-8.j)*(v11*(v23*v24)))+((4.*(v13*(v23*v24)))+aux205)); aux207=((0.+2.j)*v33)+((-2.*(v24*v33))+(((0.+2.j)*(v22*(1.+(2.*v33))))+(2.*(v23*v34)))); aux208=v14*(((0.+1.j)+(v13+((2.*(v13*v22))+(((0.+-4.j)*(v23**2))+aux207))))-v24); aux209=(2.*v33)+(((0.+8.j)*(v23*v34))+((-4.*(v34**2))+((2.*v44)+(4.*(v33*v44))))); aux210=1.+((-4.*(v14*v23))+((-4.*(v24*((0.+1.j)+(v13+((0.+2.j)*v33)))))+aux209)); aux211=(4.*(v13*(v24*v34)))+((2.*aux208)+((-4.*(v13*(v23*v44)))+(v12*aux210))); aux212=(-2.*(v22*v34))+((-4.*(v11*(v22*v34)))+(((0.+-8.j)*(v13*(v22*v34)))+aux211)); aux213=((0.+8.j)*(v13*(v23*v24)))+((-2.*(v11*v34))+((4.*((v12**2)*v34))+(((0.+-4.j)*(v13*v34))+aux212))); aux214=r1*(((-2.*(v13*v23))+((2.*(v23*v24))+((4.*(v11*(v23*v24)))+aux213)))-v34); aux215=(0.+-2.j)*((r3*(v23+((2.*(v11*v23))+((-4.*((v14**2)*v23))+aux206))))+aux214); aux216=((0.+1.j)*(r2*(1.+(((0.+8.j)*(v12*v14))+aux185))))+((r4*(-1.+((4.*(v13**2))+aux199)))+aux215); aux217=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux218=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux219=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux218))); aux220=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux219))))); aux221=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux217))+aux220); aux222=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux221))); aux223=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux222))); aux224=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux223)); aux225=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux224)); aux226=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux225))); aux227=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux226)); aux228=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux227))); aux229=(0.+-4.j)*(b12*(b14+(((0.+4.j)*(b13*b23))+((2.*(b14*b33))+(-2.*(b13*b34)))))); aux230=(2.*((1.+((0.+2.j)*b24))*(1.+(2.*b33))))+((b22*(4.+(8.*b33)))+((0.+-8.j)*(b23*b34))); aux231=((0.+4.j)*(b24*b33))+(((0.+-4.j)*(b23*b34))+(aux229+(b11*((-8.*(b23**2))+aux230)))); aux232=np.conjugate((((0.+8.j)*(b13*(b14*b23)))+(((0.+-8.j)*((b13**2)*b24))+aux231))); aux233=((0.+-2.j)*b24)+((2.*b33)+((4.*(b22*b33))+((-4.*((b12**2)*(1.+(2.*b33))))+aux232))); aux234=(8.*(b13**2))+(-2.*(1.+((2.*b22)+((-8.*((b13**2)*b22))+((-4.*(b23**2))+aux233))))); aux235=-2.*((b12**2)*(1.+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))))); aux236=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux237=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux238=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux237))); aux239=(8.*(b12*aux236))+(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux238))))); aux240=(-4.*((b23**2)*b44))+((2.*(b33*b44))+((4.*(b22*(b33*b44)))+(aux235+aux239))); aux241=(-4.*((b13**2)*b44))+((2.*(b22*b44))+((-8.*((b13**2)*(b22*b44)))+aux240)); aux242=(16.*(b13*(b14*(b22*b34))))+((8.*(b23*(b24*b34)))+((-4.*(b22*(b34**2)))+aux241)); aux243=(-8.*((b14**2)*(b22*b33)))+((-4.*((b24**2)*b33))+((8.*(b13*(b14*b34)))+aux242)); aux244=(8.*((b13**2)*(b24**2)))+((-4.*((b14**2)*b33))+((2.*(b22*b33))+aux243)); aux245=(-4.*((b14**2)*b22))+((8.*((b14**2)*(b23**2)))+((-16.*(b13*(b14*(b23*b24))))+aux244)); aux246=(-2.*b33)+((4.*(b34**2))+((-2.*b44)+(-2.*((-4.*((b13**2)*b22))+aux245)))); aux247=(4.*(b13**2))+((4.*(b14**2))+((-2.*b22)+((4.*(b23**2))+((4.*(b24**2))+aux246)))); aux248=(b13*((-2.*(b23*b24))+(b34+(2.*(b22*b34)))))+(b12*(b24+((2.*(b24*b33))+(-2.*(b23*b34))))); aux249=-2.*(b13*((b14+((2.*(b14*b22))+((2.*(b24*b34))+(-2.*(b23*b44)))))-b23)); aux250=(4.*(b14*b23))+((4.*(b13*b24))+((-2.*b33)+((4.*(b34**2))+((-2.*b44)+(-4.*(b33*b44)))))); aux251=(4.*(b11*(b22*b34)))+((-4.*(b14*(b23*b34)))+(aux249+(b12*(-1.+aux250)))); aux252=(4.*(b14*(b24*b33)))+(b34+((2.*(b11*b34))+((-4.*((b12**2)*b34))+((2.*(b22*b34))+aux251)))); aux253=(0.+2.j)*(((2.*(b14*b24))+((-2.*(b23*b24))+((-4.*(b11*(b23*b24)))+aux252)))*s1); aux254=(-4.*(b13*(b14*b23)))+((4.*((b13**2)*b24))+(2.*(b12*(b14+((2.*(b14*b33))+(-2.*(b13*b34))))))); aux255=4.*((aux254-((1.+(2.*b11))*(b24+((2.*(b24*b33))+(-2.*(b23*b34))))))*s2); aux256=(2.*(b11*b44))+((-4.*((b13**2)*b44))+((2.*(b33*b44))+(4.*(b11*(b33*b44))))); aux257=(8.*(b13*(b14*b34)))+((-2.*(b34**2))+((-4.*(b11*(b34**2)))+(b44+aux256))); aux258=(-4.*(b11*(b22*b33)))+((-2.*((b14**2)*(1.+(2.*b33))))+(((b12**2)*(2.+(4.*b33)))+aux257)); aux259=(-8.*(b12*(b13*b23)))+((2.*(b23**2))+((4.*(b11*(b23**2)))+((-2.*(b22*b33))+aux258))); aux260=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux261=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux262=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux261))); aux263=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux262))))); aux264=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux260))+aux263); aux265=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux264))); aux266=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux265))); aux267=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux266)); aux268=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux267)); aux269=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux268))); aux270=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux269)); aux271=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux270))); aux272=(4.*((b12**2)*b34))+((1.+(2.*b11))*(((2.*(b23*b24))+(-2.*(b22*b34)))-b34)); aux273=(-4.*(b12*(b14*b23)))+((2.*(b13*(b14+((2.*(b14*b22))+(-2.*(b12*b24))))))+aux272); aux274=b12*(b13+(b24+((2.*(b24*b33))+((-2.*((b14+b23)*b34))+(2.*(b13*b44)))))); aux275=(4.*(b11*(b24*b34)))+((-2.*(b23*b44))+((-4.*(b11*(b23*b44)))+(2.*aux274))); aux276=(-4.*(b13*(b23*b24)))+((2.*(b13*b34))+((4.*(b13*(b22*b34)))+((2.*(b24*b34))+aux275))); aux277=b14*(1.+((-4.*(b23**2))+((4.*(b13*b24))+((2.*b33)+(b22*(2.+(4.*b33))))))); aux278=(0.+2.j)*(((((-2.*(b11*b23))+((4.*((b14**2)*b23))+aux276))-aux277)-b23)*s3); aux279=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux280=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux281=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux280))); aux282=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux281))))); aux283=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux279))+aux282); aux284=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux283))); aux285=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux284))); aux286=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux285)); aux287=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux286)); aux288=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux287))); aux289=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux288)); aux290=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux289))); aux291=(0.+-4.j)*(b12*(b14+(((0.+4.j)*(b13*b23))+((2.*(b14*b33))+(-2.*(b13*b34)))))); aux292=(2.*((1.+((0.+2.j)*b24))*(1.+(2.*b33))))+((b22*(4.+(8.*b33)))+((0.+-8.j)*(b23*b34))); aux293=((0.+4.j)*(b24*b33))+(((0.+-4.j)*(b23*b34))+(aux291+(b11*((-8.*(b23**2))+aux292)))); aux294=np.conjugate((((0.+8.j)*(b13*(b14*b23)))+(((0.+-8.j)*((b13**2)*b24))+aux293))); aux295=((0.+-2.j)*b24)+((2.*b33)+((4.*(b22*b33))+((-4.*((b12**2)*(1.+(2.*b33))))+aux294))); aux296=(8.*(b13**2))+(-2.*(1.+((2.*b22)+((-8.*((b13**2)*b22))+((-4.*(b23**2))+aux295))))); aux297=-2.*((b12**2)*(1.+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))))); aux298=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux299=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux300=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux299))); aux301=(8.*(b12*aux298))+(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux300))))); aux302=(-4.*((b23**2)*b44))+((2.*(b33*b44))+((4.*(b22*(b33*b44)))+(aux297+aux301))); aux303=(-4.*((b13**2)*b44))+((2.*(b22*b44))+((-8.*((b13**2)*(b22*b44)))+aux302)); aux304=(16.*(b13*(b14*(b22*b34))))+((8.*(b23*(b24*b34)))+((-4.*(b22*(b34**2)))+aux303)); aux305=(-8.*((b14**2)*(b22*b33)))+((-4.*((b24**2)*b33))+((8.*(b13*(b14*b34)))+aux304)); aux306=(8.*((b13**2)*(b24**2)))+((-4.*((b14**2)*b33))+((2.*(b22*b33))+aux305)); aux307=(-4.*((b14**2)*b22))+((8.*((b14**2)*(b23**2)))+((-16.*(b13*(b14*(b23*b24))))+aux306)); aux308=(-2.*b33)+((4.*(b34**2))+((-2.*b44)+(-2.*((-4.*((b13**2)*b22))+aux307)))); aux309=(4.*(b13**2))+((4.*(b14**2))+((-2.*b22)+((4.*(b23**2))+((4.*(b24**2))+aux308)))); aux310=(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux290)))*(s4*(-1.+(aux296/(-1.+aux309)))); aux311=((0.+1.j)*((1.+((-4.*(b13**2))+((-4.*(b14**2))+aux271)))*s2))+((4.*(aux273*s3))+(aux278+aux310)); aux312=((0.+2.j)*((((-2.*(b11*b22))+((4.*((b13**2)*b22))+aux259))-b22)*s2))+aux311; aux313=(-4.*(b14*((1.+((-4.*(b23**2))+((2.*b33)+(b22*(2.+(4.*b33))))))*s1)))+((8.*(aux248*s1))+(aux253+(aux255+aux312))); aux314=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux315=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux316=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux315))); aux317=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux316))))); aux318=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux314))+aux317); aux319=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux318))); aux320=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux319))); aux321=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux320)); aux322=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux321)); aux323=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux322))); aux324=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux323)); aux325=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux324))); aux326=(s4*(1.+(aux234/(-1.+aux247))))+(aux313/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux325)))); aux327=(aux159/(1.+((-4.*(v13**2))+((-4.*(v14**2))+aux171))))+((aux216/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux228))))+aux326); aux328=(aux74/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux86))))+(aux108+((aux125/(1.+((-4.*(v13**2))+((-4.*(v14**2))+aux137))))+aux327)); aux329=aux46+(((aux53*s3)/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux65))))+aux328); output=0.25*(aux19+aux329); return output def independiente(V,B,R,S): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) r1,r2,r3,r4=R[0],R[1],R[2],R[3] s1,s2,s3,s4=S[0],S[1],S[2],S[3] aux0=-4.*(v12*(v23+(((0.+4.j)*(v14*v24))+((-2.*(v24*v34))+(2.*(v23*v44)))))); aux1=aux0+((0.+-2.j)*(v11*(1.+((-4.*(v24**2))+((2.*v44)+(v22*(2.+(4.*v44)))))))); aux2=((0.+-4.j)*(v22*v44))+((8.*(v13*(v22*v44)))+(((0.+4.j)*((v12**2)*(1.+(2.*v44))))+aux1)); aux3=(-4.*(v14*v34))+((-8.*(v14*(v22*v34)))+(((0.+-2.j)*v44)+((4.*(v13*v44))+aux2))); aux4=((0.+8.j)*((v14**2)*v22))+((8.*(v14*(v23*v24)))+(((0.+4.j)*(v24**2))+((-8.*(v13*(v24**2)))+aux3))); aux5=(0.+-1.j)+((2.*v13)+(((0.+4.j)*(v14**2))+(((0.+-2.j)*v22)+((4.*(v13*v22))+aux4)))); aux6=(0.+-4.j)*(v12*(v23+(((0.+2.j)*(v14*v24))+((-2.*(v24*v34))+(2.*(v23*v44)))))); aux7=(-2.*((v12**2)*(1.+(2.*v44))))+(aux6+(v11*(1.+((-4.*(v24**2))+((2.*v44)+(v22*(2.+(4.*v44)))))))); aux8=((0.+8.j)*(v13*(v22*v44)))+((4.*((v23**2)*v44))+((-2.*(v33*v44))+((-4.*(v22*(v33*v44)))+aux7))); aux9=(-8.*(v23*(v24*v34)))+((2.*(v34**2))+((4.*(v22*(v34**2)))+(((0.+4.j)*(v13*v44))+aux8))); aux10=(4.*((v24**2)*v33))+(((0.+-4.j)*(v14*v34))+(((0.+-8.j)*(v14*(v22*v34)))+aux9)); aux11=((0.+8.j)*(v14*(v23*v24)))+(((0.+-8.j)*(v13*(v24**2)))+((-2.*(v22*v33))+aux10)); aux12=(-2.*(v14**2))+(((0.+4.j)*(v13*v22))+((-4.*((v14**2)*v22))+((2.*(v23**2))+aux11))); aux13=(8.*(r2*(v12*(v33*v44))))+((2.*(r3*aux5))+(2.*(r1*((((0.+2.j)*v13)+aux12)-v33)))); aux14=((0.+16.j)*(r2*(v11*(v23*v44))))+((8.*(r4*(v11*(v23*v44))))+((-8.*(r2*(v13*(v23*v44))))+aux13)); aux15=(-8.*(r4*(v12*(v13*v44))))+(((0.+8.j)*(r2*(v23*v44)))+((4.*(r4*(v23*v44)))+aux14)); aux16=(-8.*(r2*(v12*(v34**2))))+((4.*(r2*(v12*v44)))+(((0.+-16.j)*(r2*(v12*(v13*v44))))+aux15)); aux17=((0.+-16.j)*(r2*(v11*(v24*v34))))+((-8.*(r4*(v11*(v24*v34))))+((8.*(r2*(v13*(v24*v34))))+aux16)); aux18=(8.*(r2*(v14*(v23*v34))))+(((0.+-8.j)*(r2*(v24*v34)))+((-4.*(r4*(v24*v34)))+aux17)); aux19=((0.+16.j)*(r4*(v11*(v22*v34))))+((-8.*(r4*(v13*(v22*v34))))+((8.*(r4*(v12*(v23*v34))))+aux18)); aux20=(-4.*(r2*(v22*v34)))+(((0.+8.j)*(r4*(v22*v34)))+((-8.*(r2*(v11*(v22*v34))))+aux19)); aux21=(-4.*(r4*(v13*v34)))+(((0.+16.j)*(r2*(v12*(v14*v34))))+((8.*(r4*(v12*(v14*v34))))+aux20)); aux22=((0.+8.j)*(r4*(v11*v34)))+((8.*(r2*((v12**2)*v34)))+(((0.+-16.j)*(r4*((v12**2)*v34)))+aux21)); aux23=(-8.*(r2*(v14*(v24*v33))))+((-2.*(r2*v34))+(((0.+4.j)*(r4*v34))+((-4.*(r2*(v11*v34)))+aux22))); aux24=(4.*(r4*(v14*v33)))+((8.*(r4*(v14*(v22*v33))))+((-8.*(r4*(v12*(v24*v33))))+aux23)); aux25=((0.+-16.j)*(r4*(v11*(v23*v24))))+((8.*(r4*(v13*(v23*v24))))+((4.*(r2*(v12*v33)))+aux24)); aux26=(4.*(r2*(v23*v24)))+(((0.+-8.j)*(r4*(v23*v24)))+((8.*(r2*(v11*(v23*v24))))+aux25)); aux27=(-4.*(r2*(v14*v24)))+(((0.+16.j)*(r2*(v13*(v14*v24))))+((8.*(r4*(v13*(v14*v24))))+aux26)); aux28=(-4.*(r4*(v12*v24)))+((-8.*(r2*(v12*(v13*v24))))+(((0.+16.j)*(r4*(v12*(v13*v24))))+aux27)); aux29=((0.+-16.j)*(r2*((v14**2)*v23)))+((-8.*(r4*((v14**2)*v23)))+((-8.*(r4*(v14*(v23**2))))+aux28)); aux30=(-4.*(r2*(v13*v23)))+((-8.*(r2*(v12*(v14*v23))))+(((0.+16.j)*(r4*(v12*(v14*v23))))+aux29)); aux31=((0.+4.j)*(r2*v23))+((2.*(r4*v23))+(((0.+8.j)*(r2*(v11*v23)))+((4.*(r4*(v11*v23)))+aux30))); aux32=(4.*(r4*(v14*v22)))+((8.*(r2*(v13*(v14*v22))))+(((0.+-16.j)*(r4*(v13*(v14*v22))))+aux31)); aux33=(-4.*(r4*(v12*v13)))+((2.*(r4*v14))+((4.*(r2*(v13*v14)))+(((0.+-8.j)*(r4*(v13*v14)))+aux32))); aux34=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux35=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux36=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux35))); aux37=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux36))))); aux38=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux34))+aux37); aux39=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux38))); aux40=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux39))); aux41=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux40)); aux42=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux41)); aux43=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux42))); aux44=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux43)); aux45=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux44))); aux46=((0.+1.j)*(r3*((2.*(r2*v12))+(((0.+-8.j)*(r2*(v12*v13)))+aux33))))/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux45))); aux47=(0.+-4.j)*(v12*(v23+(((0.+2.j)*(v14*v24))+((-2.*(v24*v34))+(2.*(v23*v44)))))); aux48=(-2.*((v12**2)*(1.+(2.*v44))))+(aux47+(v11*(1.+((-4.*(v24**2))+((2.*v44)+(v22*(2.+(4.*v44)))))))); aux49=((0.+8.j)*(v13*(v22*v44)))+((4.*((v23**2)*v44))+((-2.*(v33*v44))+((-4.*(v22*(v33*v44)))+aux48))); aux50=(-8.*(v23*(v24*v34)))+((2.*(v34**2))+((4.*(v22*(v34**2)))+(((0.+4.j)*(v13*v44))+aux49))); aux51=(4.*((v24**2)*v33))+(((0.+-4.j)*(v14*v34))+(((0.+-8.j)*(v14*(v22*v34)))+aux50)); aux52=((0.+8.j)*(v14*(v23*v24)))+(((0.+-8.j)*(v13*(v24**2)))+((-2.*(v22*v33))+aux51)); aux53=(-2.*(v14**2))+(((0.+4.j)*(v13*v22))+((-4.*((v14**2)*v22))+((2.*(v23**2))+aux52))); aux54=(2.*v33)+(((0.+4.j)*(v14*v34))+((-4.*(v34**2))+((2.*v44)+(4.*(v33*v44))))); aux55=((0.+2.j)*(v22*(1.+aux54)))+(v13*(2.+((-8.*(v24**2))+((4.*v44)+(v22*(4.+(8.*v44))))))); aux56=(-8.*(v12*(v23*v44)))+(((0.+-8.j)*((v23**2)*v44))+(((0.+4.j)*(v33*v44))+aux55)); aux57=((0.+16.j)*(v23*(v24*v34)))+(((0.+-4.j)*(v34**2))+(((0.+2.j)*v44)+aux56)); aux58=((0.+-8.j)*((v24**2)*v33))+((-4.*(v14*v34))+((8.*(v12*(v24*v34)))+aux57)); aux59=((0.+-4.j)*(v23**2))+((8.*(v14*(v23*v24)))+(((0.+-4.j)*(v24**2))+(((0.+2.j)*v33)+aux58))); aux60=(2.*(r3*((((0.+2.j)*v13)+aux53)-v33)))+(-2.*(r1*((0.+1.j)+((-4.*(v12*v23))+aux59)))); aux61=(-8.*(r4*(v13*(v23*v44))))+(((0.+16.j)*(r2*(v12*(v33*v44))))+((8.*(r4*(v12*(v33*v44))))+aux60)); aux62=(-4.*(r2*(v23*v44)))+((-8.*(r2*(v11*(v23*v44))))+(((0.+-16.j)*(r2*(v13*(v23*v44))))+aux61)); aux63=((0.+8.j)*(r2*(v12*v44)))+((4.*(r4*(v12*v44)))+((8.*(r2*(v12*(v13*v44))))+aux62)); aux64=(8.*(r4*(v13*(v24*v34))))+(((0.+-16.j)*(r2*(v12*(v34**2))))+((-8.*(r4*(v12*(v34**2))))+aux63)); aux65=(4.*(r2*(v24*v34)))+((8.*(r2*(v11*(v24*v34))))+(((0.+16.j)*(r2*(v13*(v24*v34))))+aux64)); aux66=((0.+16.j)*(r4*(v12*(v23*v34))))+(((0.+16.j)*(r2*(v14*(v23*v34))))+((8.*(r4*(v14*(v23*v34))))+aux65)); aux67=(8.*(r2*(v13*(v22*v34))))+(((0.+-16.j)*(r4*(v13*(v22*v34))))+((-8.*(r2*(v12*(v23*v34))))+aux66)); aux68=(-8.*(r2*(v12*(v14*v34))))+((-4.*(r4*(v22*v34)))+((-8.*(r4*(v11*(v22*v34))))+aux67)); aux69=(8.*(r4*((v12**2)*v34)))+((4.*(r2*(v13*v34)))+(((0.+-8.j)*(r4*(v13*v34)))+aux68)); aux70=(-8.*(r4*(v14*(v24*v33))))+((-2.*(r4*v34))+((-4.*(r4*(v11*v34)))+aux69)); aux71=((0.+-16.j)*(r4*(v12*(v24*v33))))+(((0.+-16.j)*(r2*(v14*(v24*v33))))+aux70); aux72=(-8.*(r2*(v14*(v22*v33))))+(((0.+16.j)*(r4*(v14*(v22*v33))))+((8.*(r2*(v12*(v24*v33))))+aux71)); aux73=(4.*(r4*(v12*v33)))+((-4.*(r2*(v14*v33)))+(((0.+8.j)*(r4*(v14*v33)))+aux72)); aux74=(-8.*(r2*(v13*(v23*v24))))+(((0.+16.j)*(r4*(v13*(v23*v24))))+(((0.+8.j)*(r2*(v12*v33)))+aux73)); aux75=(-8.*(r2*(v13*(v14*v24))))+((4.*(r4*(v23*v24)))+((8.*(r4*(v11*(v23*v24))))+aux74)); aux76=(-8.*(r4*(v12*(v13*v24))))+(((0.+-8.j)*(r2*(v14*v24)))+((-4.*(r4*(v14*v24)))+aux75)); aux77=((0.+-16.j)*(r4*(v14*(v23**2))))+((4.*(r2*(v12*v24)))+(((0.+-8.j)*(r4*(v12*v24)))+aux76)); aux78=(-8.*(r4*(v12*(v14*v23))))+((8.*(r2*((v14**2)*v23)))+((8.*(r2*(v14*(v23**2))))+aux77)); aux79=(-4.*(r2*(v11*v23)))+(((0.+-8.j)*(r2*(v13*v23)))+((-4.*(r4*(v13*v23)))+aux78)); aux80=((0.+8.j)*(r4*(v14*v22)))+((8.*(r4*(v13*(v14*v22))))+((-2.*(r2*v23))+aux79)); aux81=(-2.*(r2*v14))+(((0.+4.j)*(r4*v14))+((4.*(r4*(v13*v14)))+((-4.*(r2*(v14*v22)))+aux80))); aux82=(0.+1.j)*(r1*(((0.+4.j)*(r2*v12))+((2.*(r4*v12))+((4.*(r2*(v12*v13)))+aux81)))); aux83=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux84=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux85=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux84))); aux86=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux85))))); aux87=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux83))+aux86); aux88=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux87))); aux89=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux88))); aux90=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux89)); aux91=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux90)); aux92=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux91))); aux93=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux92)); aux94=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux93))); aux95=(0.+-4.j)*(v12*(v14+(((0.+4.j)*(v13*v23))+((2.*(v14*v33))+(-2.*(v13*v34)))))); aux96=(2.*((1.+((0.+2.j)*v24))*(1.+(2.*v33))))+((v22*(4.+(8.*v33)))+((0.+-8.j)*(v23*v34))); aux97=(-4.*((v12**2)*(1.+(2.*v33))))+(((0.+-4.j)*(v23*v34))+(aux95+(v11*((-8.*(v23**2))+aux96)))); aux98=((0.+-8.j)*((v13**2)*v24))+((2.*v33)+((4.*(v22*v33))+(((0.+4.j)*(v24*v33))+aux97))); aux99=(-8.*((v13**2)*v22))+(((0.+8.j)*(v13*(v14*v23)))+((-4.*(v23**2))+(((0.+2.j)*v24)+aux98))); aux100=((0.+2.j)*v33)+((-2.*(v24*v33))+(((0.+2.j)*(v22*(1.+(2.*v33))))+(2.*(v23*v34)))); aux101=v14*(((0.+1.j)+(v13+((2.*(v13*v22))+(((0.+-4.j)*(v23**2))+aux100))))-v24); aux102=(2.*v33)+(((0.+8.j)*(v23*v34))+((-4.*(v34**2))+((2.*v44)+(4.*(v33*v44))))); aux103=1.+((-4.*(v14*v23))+((-4.*(v24*((0.+1.j)+(v13+((0.+2.j)*v33)))))+aux102)); aux104=(4.*(v13*(v24*v34)))+((2.*aux101)+((-4.*(v13*(v23*v44)))+(v12*aux103))); aux105=(-2.*(v22*v34))+((-4.*(v11*(v22*v34)))+(((0.+-8.j)*(v13*(v22*v34)))+aux104)); aux106=((0.+8.j)*(v13*(v23*v24)))+((-2.*(v11*v34))+((4.*((v12**2)*v34))+(((0.+-4.j)*(v13*v34))+aux105))); aux107=r1*(((-2.*(v13*v23))+((2.*(v23*v24))+((4.*(v11*(v23*v24)))+aux106)))-v34); aux108=(-8.*(r3*(v11*(v23*v44))))+((4.*(r2*(v33*v44)))+((8.*(r2*(v11*(v33*v44))))+(-2.*aux107))); aux109=(8.*(r3*(v12*(v13*v44))))+((-8.*(r2*((v13**2)*v44)))+((-4.*(r3*(v23*v44)))+aux108)); aux110=((0.+2.j)*(r4*(1.+((-4.*(v13**2))+((2.*v22)+aux99)))))+((2.*(r2*v44))+((4.*(r2*(v11*v44)))+aux109)); aux111=(8.*(r3*(v11*(v24*v34))))+((-4.*(r2*(v34**2)))+((-8.*(r2*(v11*(v34**2))))+aux110)); aux112=((0.+16.j)*(r2*(v11*(v23*v34))))+((-8.*(r3*(v12*(v23*v34))))+((4.*(r3*(v24*v34)))+aux111)); aux113=((0.+-16.j)*(r3*(v11*(v22*v34))))+((8.*(r3*(v13*(v22*v34))))+(((0.+8.j)*(r2*(v23*v34)))+aux112)); aux114=(-8.*(r3*(v12*(v14*v34))))+((16.*(r2*(v13*(v14*v34))))+(((0.+-8.j)*(r3*(v22*v34)))+aux113)); aux115=((0.+16.j)*(r3*((v12**2)*v34)))+((4.*(r3*(v13*v34)))+(((0.+-16.j)*(r2*(v12*(v13*v34))))+aux114)); aux116=(8.*(r3*(v12*(v24*v33))))+(((0.+-4.j)*(r3*v34))+(((0.+-8.j)*(r3*(v11*v34)))+aux115)); aux117=(-8.*(r3*(v14*(v22*v33))))+(((0.+-8.j)*(r2*(v24*v33)))+(((0.+-16.j)*(r2*(v11*(v24*v33))))+aux116)); aux118=(-8.*(r2*((v14**2)*v33)))+((-4.*(r2*(v22*v33)))+((-8.*(r2*(v11*(v22*v33))))+aux117)); aux119=(8.*(r2*((v12**2)*v33)))+((-4.*(r3*(v14*v33)))+(((0.+16.j)*(r2*(v12*(v14*v33))))+aux118)); aux120=((0.+8.j)*(r3*(v23*v24)))+(((0.+16.j)*(r3*(v11*(v23*v24))))+((-8.*(r3*(v13*(v23*v24))))+aux119)); aux121=((0.+-16.j)*(r3*(v12*(v13*v24))))+(((0.+16.j)*(r2*((v13**2)*v24)))+((-8.*(r3*(v13*(v14*v24))))+aux120)); aux122=((0.+-4.j)*(r2*v24))+(((0.+-8.j)*(r2*(v11*v24)))+((4.*(r3*(v12*v24)))+aux121)); aux123=(4.*(r2*(v23**2)))+((8.*(r2*(v11*(v23**2))))+((8.*(r3*(v14*(v23**2))))+aux122)); aux124=((0.+-16.j)*(r3*(v12*(v14*v23))))+(((0.+-16.j)*(r2*(v13*(v14*v23))))+((8.*(r3*((v14**2)*v23)))+aux123)); aux125=(-2.*(r3*v23))+((-4.*(r3*(v11*v23)))+((-16.*(r2*(v12*(v13*v23))))+aux124)); aux126=(8.*(r2*((v13**2)*v22)))+((-4.*(r3*(v14*v22)))+(((0.+16.j)*(r3*(v13*(v14*v22))))+aux125)); aux127=((0.+8.j)*(r3*(v13*v14)))+((-4.*(r2*(v14**2)))+((-2.*(r2*v22))+((-4.*(r2*(v11*v22)))+aux126))); aux128=(4.*(r3*(v12*v13)))+((-2.*(r3*v14))+(((0.+8.j)*(r2*(v12*v14)))+aux127)); aux129=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux130=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux131=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux130))); aux132=2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux131))))); aux133=(-4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((16.*(v12*aux129))+aux132); aux134=(-16.*((v13**2)*(v22*v44)))+((-8.*((v23**2)*v44))+((4.*(v33*v44))+((8.*(v22*(v33*v44)))+aux133))); aux135=(-8.*(v22*(v34**2)))+((2.*v44)+((-8.*((v13**2)*v44))+((4.*(v22*v44))+aux134))); aux136=(32.*(v13*(v14*(v22*v34))))+((16.*(v23*(v24*v34)))+((-4.*(v34**2))+aux135)); aux137=(-16.*((v14**2)*(v22*v33)))+((-8.*((v24**2)*v33))+((16.*(v13*(v14*v34)))+aux136)); aux138=(16.*((v13**2)*(v24**2)))+((2.*v33)+((-8.*((v14**2)*v33))+((4.*(v22*v33))+aux137))); aux139=(16.*((v14**2)*(v23**2)))+((-32.*(v13*(v14*(v23*v24))))+((-4.*(v24**2))+aux138)); aux140=(2.*v22)+((-8.*((v13**2)*v22))+((-8.*((v14**2)*v22))+((-4.*(v23**2))+aux139))); aux141=((0.+1.j)*(r4*((4.*(r2*(v12**2)))+aux128)))/(1.+((-4.*(v13**2))+((-4.*(v14**2))+aux140))); aux142=((0.+2.j)*(v14*v34))+(((0.+2.j)*(v23*v34))+((-4.*(v34**2))+((2.*v44)+(4.*(v33*v44))))); aux143=v24+((2.*(v24*v33))+((2.*(v13*v44))+((0.+1.j)*(1.+((2.*v33)+aux142))))); aux144=(-4.*(v11*(v23*v44)))+(((0.+-8.j)*(v13*(v23*v44)))+(2.*(v12*(v13+aux143)))); aux145=(4.*(v11*(v24*v34)))+(((0.+8.j)*(v13*(v24*v34)))+((-2.*(v23*v44))+aux144)); aux146=(-4.*(v13*(v23*v24)))+((2.*(v13*v34))+((4.*(v13*(v22*v34)))+((2.*(v24*v34))+aux145))); aux147=(2.*v33)+(((0.+8.j)*(v24*v33))+((v22*(2.+(4.*v33)))+((0.+-8.j)*(v23*v34)))); aux148=((-2.*(v11*v23))+(((0.+-4.j)*(v13*v23))+((4.*((v14**2)*v23))+aux146)))-(v14*(1.+((-4.*(v23**2))+(((0.+4.j)*v24)+((4.*(v13*v24))+aux147))))); aux149=(2.*v33)+(((0.+4.j)*(v23*v34))+((-4.*(v34**2))+((2.*v44)+(4.*(v33*v44))))); aux150=((0.+-4.j)*(v33*v44))+(-2.*(v11*((v24*(2.+(4.*v33)))+((0.+1.j)*(1.+aux149))))); aux151=((v13**2)*((0.+4.j)+((8.*v24)+((0.+8.j)*v44))))+(((0.+-2.j)*v44)+aux150); aux152=((0.+4.j)*(v34**2))+((-8.*(v13*((v14*v23)+((v12*v34)+((0.+2.j)*(v14*v34))))))+aux151); aux153=(8.*(v12*(v14*v33)))+(((0.+8.j)*((v14**2)*v33))+((-4.*(v24*v33))+((4.*(v23*v34))+aux152))); aux154=(4.*(v12*v14))+(((0.+4.j)*(v14**2))+((-2.*v24)+(((0.+-2.j)*v33)+aux153))); aux155=(-8.*(r3*(v12*(v33*v44))))+((-2.*(r1*(aux148-v23)))+(-2.*(r2*((0.+-1.j)+aux154)))); aux156=(8.*(r3*(v13*(v23*v44))))+((4.*(r4*(v33*v44)))+((8.*(r4*(v11*(v33*v44))))+aux155)); aux157=(-8.*(r4*((v13**2)*v44)))+(((0.+-8.j)*(r3*(v23*v44)))+(((0.+-16.j)*(r3*(v11*(v23*v44))))+aux156)); aux158=(4.*(r4*(v11*v44)))+((-4.*(r3*(v12*v44)))+(((0.+16.j)*(r3*(v12*(v13*v44))))+aux157)); aux159=(-8.*(r4*(v11*(v34**2))))+((8.*(r3*(v12*(v34**2))))+((2.*(r4*v44))+aux158)); aux160=((0.+16.j)*(r3*(v11*(v24*v34))))+((-8.*(r3*(v13*(v24*v34))))+((-4.*(r4*(v34**2)))+aux159)); aux161=((0.+16.j)*(r4*(v11*(v23*v34))))+((-8.*(r3*(v14*(v23*v34))))+(((0.+8.j)*(r3*(v24*v34)))+aux160)); aux162=(4.*(r3*(v22*v34)))+((8.*(r3*(v11*(v22*v34))))+(((0.+8.j)*(r4*(v23*v34)))+aux161)); aux163=((0.+-16.j)*(r4*(v12*(v13*v34))))+(((0.+-16.j)*(r3*(v12*(v14*v34))))+((16.*(r4*(v13*(v14*v34))))+aux162)); aux164=(8.*(r3*(v14*(v24*v33))))+((2.*(r3*v34))+((4.*(r3*(v11*v34)))+((-8.*(r3*((v12**2)*v34)))+aux163))); aux165=(-8.*(r4*(v11*(v22*v33))))+(((0.+-8.j)*(r4*(v24*v33)))+(((0.+-16.j)*(r4*(v11*(v24*v33))))+aux164)); aux166=((0.+16.j)*(r4*(v12*(v14*v33))))+((-8.*(r4*((v14**2)*v33)))+((-4.*(r4*(v22*v33)))+aux165)); aux167=(-8.*(r3*(v11*(v23*v24))))+((-4.*(r3*(v12*v33)))+((8.*(r4*((v12**2)*v33)))+aux166)); aux168=(4.*(r3*(v14*v24)))+(((0.+-16.j)*(r3*(v13*(v14*v24))))+((-4.*(r3*(v23*v24)))+aux167)); aux169=((0.+-8.j)*(r4*(v11*v24)))+((8.*(r3*(v12*(v13*v24))))+(((0.+16.j)*(r4*((v13**2)*v24)))+aux168)); aux170=(4.*(r4*(v23**2)))+((8.*(r4*(v11*(v23**2))))+(((0.+-4.j)*(r4*v24))+aux169)); aux171=((0.+-16.j)*(r4*(v13*(v14*v23))))+(((0.+16.j)*(r3*((v14**2)*v23)))+aux170); aux172=(4.*(r3*(v13*v23)))+((-16.*(r4*(v12*(v13*v23))))+((8.*(r3*(v12*(v14*v23))))+aux171)); aux173=(-8.*(r3*(v13*(v14*v22))))+(((0.+-4.j)*(r3*v23))+(((0.+-8.j)*(r3*(v11*v23)))+aux172)); aux174=(-2.*(r4*v22))+((-4.*(r4*(v11*v22)))+((8.*(r4*((v13**2)*v22)))+aux173)); aux175=((0.+8.j)*(r4*(v12*v14)))+((-4.*(r3*(v13*v14)))+((-4.*(r4*(v14**2)))+aux174)); aux176=r2*((-2.*(r3*v12))+((4.*(r4*(v12**2)))+(((0.+8.j)*(r3*(v12*v13)))+aux175))); aux177=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux178=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux179=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux178))); aux180=2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux179))))); aux181=(-4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((16.*(v12*aux177))+aux180); aux182=(-16.*((v13**2)*(v22*v44)))+((-8.*((v23**2)*v44))+((4.*(v33*v44))+((8.*(v22*(v33*v44)))+aux181))); aux183=(-8.*(v22*(v34**2)))+((2.*v44)+((-8.*((v13**2)*v44))+((4.*(v22*v44))+aux182))); aux184=(32.*(v13*(v14*(v22*v34))))+((16.*(v23*(v24*v34)))+((-4.*(v34**2))+aux183)); aux185=(-16.*((v14**2)*(v22*v33)))+((-8.*((v24**2)*v33))+((16.*(v13*(v14*v34)))+aux184)); aux186=(16.*((v13**2)*(v24**2)))+((2.*v33)+((-8.*((v14**2)*v33))+((4.*(v22*v33))+aux185))); aux187=(16.*((v14**2)*(v23**2)))+((-32.*(v13*(v14*(v23*v24))))+((-4.*(v24**2))+aux186)); aux188=(2.*v22)+((-8.*((v13**2)*v22))+((-8.*((v14**2)*v22))+((-4.*(v23**2))+aux187))); aux189=(b13*((-2.*(b23*b24))+(b34+(2.*(b22*b34)))))+(b12*(b24+((2.*(b24*b33))+(-2.*(b23*b34))))); aux190=(b14*(1.+((-4.*(b23**2))+((2.*b33)+(b22*(2.+(4.*b33)))))))+(-2.*aux189); aux191=(-4.*(b14*b23))+((-4.*(b13*b24))+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44)))))); aux192=(2.*(b13*((b14+((2.*(b14*b22))+((2.*(b24*b34))+(-2.*(b23*b44)))))-b23)))+(b12*(1.+aux191)); aux193=(4.*((b12**2)*b34))+((-2.*(b22*b34))+((-4.*(b11*(b22*b34)))+((4.*(b14*(b23*b34)))+aux192))); aux194=(2.*(b23*b24))+((4.*(b11*(b23*b24)))+((-4.*(b14*(b24*b33)))+((-2.*(b11*b34))+aux193))); aux195=(-2.*(b12*(b14+((2.*(b14*b33))+(-2.*(b13*b34))))))+((1.+(2.*b11))*(b24+((2.*(b24*b33))+(-2.*(b23*b34))))); aux196=(-2.*(b11*b44))+((4.*((b13**2)*b44))+((-2.*(b33*b44))+(-4.*(b11*(b33*b44))))); aux197=((b14**2)*(2.+(4.*b33)))+((-8.*(b13*(b14*b34)))+((2.*(b34**2))+((4.*(b11*(b34**2)))+aux196))); aux198=(2.*(b22*b33))+((4.*(b11*(b22*b33)))+((-2.*((b12**2)*(1.+(2.*b33))))+aux197)); aux199=(-4.*((b13**2)*b22))+((8.*(b12*(b13*b23)))+((-2.*(b23**2))+((-4.*(b11*(b23**2)))+aux198))); aux200=(4.*((b12**2)*b34))+((1.+(2.*b11))*(((2.*(b23*b24))+(-2.*(b22*b34)))-b34)); aux201=(-4.*(b12*(b14*b23)))+((2.*(b13*(b14+((2.*(b14*b22))+(-2.*(b12*b24))))))+aux200); aux202=b12*(b13+(b24+((2.*(b24*b33))+((-2.*((b14+b23)*b34))+(2.*(b13*b44)))))); aux203=(4.*(b11*(b24*b34)))+((-2.*(b23*b44))+((-4.*(b11*(b23*b44)))+(2.*aux202))); aux204=(-4.*(b13*(b23*b24)))+((2.*(b13*b34))+((4.*(b13*(b22*b34)))+((2.*(b24*b34))+aux203))); aux205=b14*(1.+((-4.*(b23**2))+((4.*(b13*b24))+((2.*b33)+(b22*(2.+(4.*b33))))))); aux206=(0.+-2.j)*(((((-2.*(b11*b23))+((4.*((b14**2)*b23))+aux204))-aux205)-b23)*s3); aux207=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux208=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux209=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux208))); aux210=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux209))))); aux211=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux207))+aux210); aux212=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux211))); aux213=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux212))); aux214=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux213)); aux215=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux214)); aux216=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux215))); aux217=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux216)); aux218=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux217))); aux219=(0.+-4.j)*(b12*(b14+(((0.+4.j)*(b13*b23))+((2.*(b14*b33))+(-2.*(b13*b34)))))); aux220=(2.*((1.+((0.+2.j)*b24))*(1.+(2.*b33))))+((b22*(4.+(8.*b33)))+((0.+-8.j)*(b23*b34))); aux221=((0.+4.j)*(b24*b33))+(((0.+-4.j)*(b23*b34))+(aux219+(b11*((-8.*(b23**2))+aux220)))); aux222=np.conjugate((((0.+8.j)*(b13*(b14*b23)))+(((0.+-8.j)*((b13**2)*b24))+aux221))); aux223=(-8.*((b13**2)*b22))+((4.*(b22*b33))+((-4.*((b12**2)*(1.+(2.*b33))))+aux222)); aux224=(-8.*(b13**2))+((4.*b22)+((-8.*(b23**2))+(((0.+-4.j)*b24)+((4.*b33)+(2.*aux223))))); aux225=2.*((b12**2)*(1.+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))))); aux226=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux227=(4.*((b23**2)*b44))+((-2.*(b33*b44))+((-4.*(b22*(b33*b44)))+(aux225+(-8.*(b12*aux226))))); aux228=(4.*((b13**2)*b44))+((-2.*(b22*b44))+((8.*((b13**2)*(b22*b44)))+aux227)); aux229=(-16.*(b13*(b14*(b22*b34))))+((-8.*(b23*(b24*b34)))+((4.*(b22*(b34**2)))+aux228)); aux230=(8.*((b14**2)*(b22*b33)))+((4.*((b24**2)*b33))+((-8.*(b13*(b14*b34)))+aux229)); aux231=(-8.*((b13**2)*(b24**2)))+((4.*((b14**2)*b33))+((-2.*(b22*b33))+aux230)); aux232=(4.*((b14**2)*b22))+((-8.*((b14**2)*(b23**2)))+((16.*(b13*(b14*(b23*b24))))+aux231)); aux233=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux234=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux233))); aux235=((4.*((b13**2)*b22))+aux232)-(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux234))))); aux236=(4.*(b23**2))+((4.*(b24**2))+((-2.*b33)+((4.*(b34**2))+((-2.*b44)+(2.*aux235))))); aux237=((1.+((-4.*(b13**2))+((-4.*(b14**2))+aux218)))*(s4*(2.+aux224)))/(-1.+((4.*(b13**2))+((4.*(b14**2))+((-2.*b22)+aux236)))); aux238=((0.+2.j)*(((b22+((2.*(b11*b22))+aux199))-b44)*s2))+((-4.*(aux201*s3))+(aux206+aux237)); aux239=((0.+2.j)*((((-2.*(b14*b24))+aux194)-b34)*s1))+((4.*(((4.*(b13*(b14*b23)))+((-4.*((b13**2)*b24))+aux195))*s2))+aux238); aux240=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux241=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux242=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux241))); aux243=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux242))))); aux244=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux240))+aux243); aux245=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux244))); aux246=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux245))); aux247=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux246)); aux248=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux247)); aux249=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux248))); aux250=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux249)); aux251=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux250))); aux252=(s4*((4.*(aux190*s1))+aux239))/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux251))); aux253=(-2.*((b12**2)*(1.+(2.*b44))))+(b11*(1.+((-4.*(b24**2))+((2.*b44)+(b22*(2.+(4.*b44))))))); aux254=(4.*(b22*(b34**2)))+((4.*((b23**2)*b44))+((-2.*(b33*b44))+((-4.*(b22*(b33*b44)))+aux253))); aux255=(-2.*(b22*b33))+((4.*((b24**2)*b33))+((-8.*(b23*(b24*b34)))+((2.*(b34**2))+aux254))); aux256=(-2.*(b14**2))+((-4.*((b14**2)*b22))+((2.*(b23**2))+((8.*(b12*(b14*b24)))+aux255))); aux257=(b14*((-2.*(b23*b24))+(b34+(2.*(b22*b34)))))+(b12*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux258=(b13*(1.+((-4.*(b24**2))+((2.*b44)+(b22*(2.+(4.*b44)))))))+(-2.*aux257); aux259=(-4.*(b14*b23))+((-4.*(b13*b24))+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44)))))); aux260=(2.*(b13*((b14+((2.*(b14*b22))+((2.*(b24*b34))+(-2.*(b23*b44)))))-b23)))+(b12*(1.+aux259)); aux261=(4.*((b12**2)*b34))+((-2.*(b22*b34))+((-4.*(b11*(b22*b34)))+((4.*(b14*(b23*b34)))+aux260))); aux262=(2.*(b23*b24))+((4.*(b11*(b23*b24)))+((-4.*(b14*(b24*b33)))+((-2.*(b11*b34))+aux261))); aux263=(-2.*(b12*(b13+((-2.*(b14*b34))+(2.*(b13*b44))))))+(b23*(1.+((-4.*(b14**2))+((2.*b44)+(b11*(2.+(4.*b44))))))); aux264=4.*(((4.*(b13*(b14*b24)))+((-2.*((1.+(2.*b11))*(b24*b34)))+aux263))*s2); aux265=(4.*((b12**2)*b34))+((1.+(2.*b11))*(((2.*(b23*b24))+(-2.*(b22*b34)))-b34)); aux266=(-4.*(b12*(b14*b23)))+((2.*(b13*(b14+((2.*(b14*b22))+(-2.*(b12*b24))))))+aux265); aux267=b12*(b13+(b24+((2.*(b24*b33))+((-2.*((b14+b23)*b34))+(2.*(b13*b44)))))); aux268=(4.*(b11*(b24*b34)))+((-2.*(b23*b44))+((-4.*(b11*(b23*b44)))+(2.*aux267))); aux269=(-4.*(b13*(b23*b24)))+((2.*(b13*b34))+((4.*(b13*(b22*b34)))+((2.*(b24*b34))+aux268))); aux270=b14*(1.+((-4.*(b23**2))+((4.*(b13*b24))+((2.*b33)+(b22*(2.+(4.*b33))))))); aux271=(0.+-2.j)*(((((-2.*(b11*b23))+((4.*((b14**2)*b23))+aux269))-aux270)-b23)*s4); aux272=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux273=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux274=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux273))); aux275=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux274))))); aux276=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux272))+aux275); aux277=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux276))); aux278=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux277))); aux279=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux278)); aux280=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux279)); aux281=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux280))); aux282=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux281)); aux283=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux282))); aux284=(0.+1.j)*(b12*(b23+(((0.+4.j)*(b14*b24))+((-2.*(b24*b34))+(2.*(b23*b44)))))); aux285=((0.+2.j)*(b14*(b22*b34)))+(((0.+-1.j)*(b13*(b22+((-2.*(b24**2))+(b44+(2.*(b22*b44)))))))+aux284); aux286=np.conjugate((((0.+-2.j)*(b14*(b23*b24)))+(((0.+1.j)*(b14*b34))+aux285))); aux287=-4.*(((2.*((b14**2)*b22))+(((b12**2)*(1.+(2.*b44)))+aux286))-(b22*b44)); aux288=(2.*b44)+((b11*(2.+((-8.*(b24**2))+((4.*b44)+(b22*(4.+(8.*b44)))))))+aux287); aux289=1.+(((0.+-2.j)*b13)+((-4.*(b14**2))+((2.*b22)+((-4.*(b24**2))+aux288)))); aux290=2.*((b12**2)*(1.+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))))); aux291=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux292=(4.*((b23**2)*b44))+((-2.*(b33*b44))+((-4.*(b22*(b33*b44)))+(aux290+(-8.*(b12*aux291))))); aux293=(4.*((b13**2)*b44))+((-2.*(b22*b44))+((8.*((b13**2)*(b22*b44)))+aux292)); aux294=(-16.*(b13*(b14*(b22*b34))))+((-8.*(b23*(b24*b34)))+((4.*(b22*(b34**2)))+aux293)); aux295=(8.*((b14**2)*(b22*b33)))+((4.*((b24**2)*b33))+((-8.*(b13*(b14*b34)))+aux294)); aux296=(-8.*((b13**2)*(b24**2)))+((4.*((b14**2)*b33))+((-2.*(b22*b33))+aux295)); aux297=(4.*((b14**2)*b22))+((-8.*((b14**2)*(b23**2)))+((16.*(b13*(b14*(b23*b24))))+aux296)); aux298=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux299=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux298))); aux300=((4.*((b13**2)*b22))+aux297)-(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux299))))); aux301=(4.*(b23**2))+((4.*(b24**2))+((-2.*b33)+((4.*(b34**2))+((-2.*b44)+(2.*aux300))))); aux302=(2.*((1.+((-4.*(b13**2))+((-4.*(b14**2))+aux283)))*(s3*aux289)))/(-1.+((4.*(b13**2))+((4.*(b14**2))+((-2.*b22)+aux301)))); aux303=((0.+2.j)*((((-2.*(b14*b24))+aux262)-b34)*s2))+(aux264+((-4.*(aux266*s4))+(aux271+aux302))); aux304=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux305=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux306=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux305))); aux307=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux306))))); aux308=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux304))+aux307); aux309=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux308))); aux310=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux309))); aux311=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux310)); aux312=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux311)); aux313=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux312))); aux314=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux313)); aux315=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux314))); aux316=(s3*(((0.+2.j)*((aux256-b33)*s1))+((4.*(aux258*s1))+aux303)))/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux315))); aux317=(2.*b33)+(((0.+-8.j)*(b24*b33))+((b22*(2.+(4.*b33)))+((0.+8.j)*(b23*b34)))); aux318=((0.+-2.j)*(b14*b34))+(((0.+-2.j)*(b23*b34))+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))); aux319=b24+((2.*(b24*b33))+((2.*(b13*b44))+((0.+-1.j)*(1.+((2.*b33)+aux318))))); aux320=(4.*(b11*(b23*b44)))+(((0.+-8.j)*(b13*(b23*b44)))+(-2.*(b12*(b13+aux319)))); aux321=(b14*(1.+((-4.*(b23**2))+(((0.+-4.j)*b24)+((4.*(b13*b24))+aux317)))))+((2.*(b23*b44))+aux320); aux322=(-2.*(b24*b34))+((-4.*(b11*(b24*b34)))+(((0.+8.j)*(b13*(b24*b34)))+aux321)); aux323=(-4.*((b14**2)*b23))+((4.*(b13*(b23*b24)))+((-2.*(b13*b34))+((-4.*(b13*(b22*b34)))+aux322))); aux324=(0.+4.j)*(b12*(b23+(((0.+-2.j)*(b14*b24))+((-2.*(b24*b34))+(2.*(b23*b44)))))); aux325=(-2.*((b12**2)*(1.+(2.*b44))))+(aux324+(b11*(1.+((-4.*(b24**2))+((2.*b44)+(b22*(2.+(4.*b44)))))))); aux326=((0.+-8.j)*(b13*(b22*b44)))+((4.*((b23**2)*b44))+((-2.*(b33*b44))+((-4.*(b22*(b33*b44)))+aux325))); aux327=(-8.*(b23*(b24*b34)))+((2.*(b34**2))+((4.*(b22*(b34**2)))+(((0.+-4.j)*(b13*b44))+aux326))); aux328=(4.*((b24**2)*b33))+(((0.+4.j)*(b14*b34))+(((0.+8.j)*(b14*(b22*b34)))+aux327)); aux329=((0.+-8.j)*(b14*(b23*b24)))+(((0.+8.j)*(b13*(b24**2)))+((-2.*(b22*b33))+aux328)); aux330=(-2.*(b14**2))+(((0.+-4.j)*(b13*b22))+((-4.*((b14**2)*b22))+((2.*(b23**2))+aux329))); aux331=((0.+2.j)*b33)+((2.*(b24*b33))+(((0.+2.j)*(b22*(1.+(2.*b33))))+(-2.*(b23*b34)))); aux332=b14*(((0.+1.j)+(((0.+-4.j)*(b23**2))+(b24+aux331)))-(b13*(1.+(2.*b22)))); aux333=(-2.*b33)+(((0.+8.j)*(b23*b34))+((4.*(b34**2))+((-2.*b44)+(-4.*(b33*b44))))); aux334=-1.+((4.*(b14*b23))+((4.*(b24*((0.+-1.j)+(b13+((0.+-2.j)*b33)))))+aux333)); aux335=(-4.*(b13*(b24*b34)))+((2.*aux332)+((4.*(b13*(b23*b44)))+(b12*aux334))); aux336=(2.*(b22*b34))+((4.*(b11*(b22*b34)))+(((0.+-8.j)*(b13*(b22*b34)))+aux335)); aux337=b34+((2.*(b11*b34))+((-4.*((b12**2)*b34))+(((0.+-4.j)*(b13*b34))+aux336))); aux338=(-2.*(b23*b24))+((-4.*(b11*(b23*b24)))+(((0.+8.j)*(b13*(b23*b24)))+aux337)); aux339=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux340=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux341=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux340))); aux342=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux341))))); aux343=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux339))+aux342); aux344=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux343))); aux345=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux344))); aux346=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux345)); aux347=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux346)); aux348=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux347))); aux349=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux348)); aux350=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux349))); aux351=(0.+-1.j)*(b13*(1.+((2.*b22)+((-4.*(b24**2))+((2.*b44)+(4.*(b22*b44))))))); aux352=(2.*b33)+(((0.+4.j)*(b14*b34))+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))); aux353=((0.+2.j)*(b12*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))))+(b22*(1.+aux352)); aux354=np.conjugate((((0.+-4.j)*(b14*(b23*b24)))+(((0.+2.j)*(b14*b34))+(aux351+aux353)))); aux355=(-4.*((b24**2)*b33))+((8.*(b23*(b24*b34)))+((-4.*((b23**2)*b44))+((2.*(b33*b44))+aux354))); aux356=(-8.*(b23**2))+((-8.*(b24**2))+((4.*b33)+((-8.*(b34**2))+((4.*b44)+(4.*aux355))))); aux357=2.*((b12**2)*(1.+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))))); aux358=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux359=(4.*((b23**2)*b44))+((-2.*(b33*b44))+((-4.*(b22*(b33*b44)))+(aux357+(-8.*(b12*aux358))))); aux360=(4.*((b13**2)*b44))+((-2.*(b22*b44))+((8.*((b13**2)*(b22*b44)))+aux359)); aux361=(-16.*(b13*(b14*(b22*b34))))+((-8.*(b23*(b24*b34)))+((4.*(b22*(b34**2)))+aux360)); aux362=(8.*((b14**2)*(b22*b33)))+((4.*((b24**2)*b33))+((-8.*(b13*(b14*b34)))+aux361)); aux363=(-8.*((b13**2)*(b24**2)))+((4.*((b14**2)*b33))+((-2.*(b22*b33))+aux362)); aux364=(4.*((b14**2)*b22))+((-8.*((b14**2)*(b23**2)))+((16.*(b13*(b14*(b23*b24))))+aux363)); aux365=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux366=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux365))); aux367=((4.*((b13**2)*b22))+aux364)-(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux366))))); aux368=(4.*(b23**2))+((4.*(b24**2))+((-2.*b33)+((4.*(b34**2))+((-2.*b44)+(2.*aux367))))); aux369=((1.+((-4.*(b13**2))+((-4.*(b14**2))+aux350)))*(s1*(2.+aux356)))/(-1.+((4.*(b13**2))+((4.*(b14**2))+((-2.*b22)+aux368)))); aux370=((0.+2.j)*(((((0.+-2.j)*b13)+aux330)-b33)*s3))+(((0.+-2.j)*(((2.*(b13*b23))+aux338)*s4))+aux369); aux371=((0.+-2.j)*((b23+((2.*(b11*b23))+(((0.+-4.j)*(b13*b23))+aux323)))*s2))+aux370; aux372=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux373=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux374=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux373))); aux375=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux374))))); aux376=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux372))+aux375); aux377=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux376))); aux378=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux377))); aux379=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux378)); aux380=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux379)); aux381=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux380))); aux382=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux381)); aux383=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux382))); aux384=(2.*b33)+(((0.+-8.j)*(b24*b33))+((b22*(2.+(4.*b33)))+((0.+8.j)*(b23*b34)))); aux385=((0.+-2.j)*(b14*b34))+(((0.+-2.j)*(b23*b34))+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))); aux386=b24+((2.*(b24*b33))+((2.*(b13*b44))+((0.+-1.j)*(1.+((2.*b33)+aux385))))); aux387=(4.*(b11*(b23*b44)))+(((0.+-8.j)*(b13*(b23*b44)))+(-2.*(b12*(b13+aux386)))); aux388=(b14*(1.+((-4.*(b23**2))+(((0.+-4.j)*b24)+((4.*(b13*b24))+aux384)))))+((2.*(b23*b44))+aux387); aux389=(-2.*(b24*b34))+((-4.*(b11*(b24*b34)))+(((0.+8.j)*(b13*(b24*b34)))+aux388)); aux390=(-4.*((b14**2)*b23))+((4.*(b13*(b23*b24)))+((-2.*(b13*b34))+((-4.*(b13*(b22*b34)))+aux389))); aux391=(2.*(b14*b22))+(((0.+-4.j)*(b14*b24))+((2.*(b24*b34))+(-2.*(b23*b44)))); aux392=(4.*(b13*((0.+-1.j)+(b24+((0.+-2.j)*b44)))))+((-2.*b44)+(-4.*(b33*b44))); aux393=(4.*(b14*b23))+((-2.*b33)+(((0.+8.j)*(b14*b34))+((4.*(b34**2))+aux392))); aux394=((0.+8.j)*(b11*(b23*b44)))+((-2.*(b13*((b14+aux391)-b23)))+(b12*(-1.+aux393))); aux395=((0.+-4.j)*(b24*b34))+(((0.+-8.j)*(b11*(b24*b34)))+(((0.+4.j)*(b23*b44))+aux394)); aux396=(-4.*((b12**2)*b34))+((2.*(b22*b34))+((4.*(b11*(b22*b34)))+((-4.*(b14*(b23*b34)))+aux395))); aux397=(-4.*(b11*(b23*b24)))+((4.*(b14*(b24*b33)))+(b34+((2.*(b11*b34))+aux396))); aux398=((0.+4.j)*(b11*b23))+(((0.+-8.j)*((b14**2)*b23))+((2.*(b14*b24))+((-2.*(b23*b24))+aux397))); aux399=(0.+4.j)*(b12*(b14+(((0.+-2.j)*(b13*b23))+((2.*(b14*b33))+(-2.*(b13*b34)))))); aux400=(-2.*(b11*b44))+((4.*((b13**2)*b44))+((-2.*(b33*b44))+(-4.*(b11*(b33*b44))))); aux401=((0.+8.j)*(b11*(b23*b34)))+((2.*(b34**2))+((4.*(b11*(b34**2)))+(aux399+aux400))); aux402=((b14**2)*(2.+(4.*b33)))+((b13*(b14*(((0.+-8.j)*b23)+(-8.*b34))))+(((0.+4.j)*(b23*b34))+aux401)); aux403=((0.+-4.j)*(b24*b33))+(((0.+-8.j)*(b11*(b24*b33)))+((-2.*((b12**2)*(1.+(2.*b33))))+aux402)); aux404=((0.+8.j)*((b13**2)*b24))+((2.*(b22*b33))+((4.*(b11*(b22*b33)))+aux403)); aux405=(-2.*(b23**2))+((-4.*(b11*(b23**2)))+(((0.+-2.j)*b24)+(((0.+-4.j)*(b11*b24))+aux404))); aux406=(0.+2.j)*(((b22+((2.*(b11*b22))+((-4.*((b13**2)*b22))+aux405)))-b44)*s4); aux407=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux408=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux409=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux408))); aux410=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux409))))); aux411=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux407))+aux410); aux412=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux411))); aux413=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux412))); aux414=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux413)); aux415=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux414)); aux416=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux415))); aux417=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux416)); aux418=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux417))); aux419=((0.+-4.j)*(b24*(1.+(2.*b33))))+(((0.+8.j)*(b23*b34))+((-8.*(b34**2))+((4.*b44)+(8.*(b33*b44))))); aux420=((b13**2)*(-4.+(((0.+8.j)*b24)+(-8.*b44))))+(b11*(2.+((4.*b33)+aux419))); aux421=((0.+4.j)*(b23*b34))+(((0.+-8.j)*(b13*((b14*b23)+((b12*b34)+((0.+2.j)*(b14*b34))))))+aux420); aux422=((0.+4.j)*(b12*b14))+(((0.+8.j)*(b12*(b14*b33)))+(((0.+-4.j)*(b24*b33))+aux421)); aux423=(4.*b44)+(2.*((-8.*((b14**2)*b33))+((4.*(b33*b44))+(np.conjugate(aux422))))); aux424=2.+((-8.*(b14**2))+(((0.+4.j)*b24)+((4.*b33)+((-8.*(b34**2))+aux423)))); aux425=2.*((b12**2)*(1.+((2.*b33)+((-4.*(b34**2))+((2.*b44)+(4.*(b33*b44))))))); aux426=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux427=(4.*((b23**2)*b44))+((-2.*(b33*b44))+((-4.*(b22*(b33*b44)))+(aux425+(-8.*(b12*aux426))))); aux428=(4.*((b13**2)*b44))+((-2.*(b22*b44))+((8.*((b13**2)*(b22*b44)))+aux427)); aux429=(-16.*(b13*(b14*(b22*b34))))+((-8.*(b23*(b24*b34)))+((4.*(b22*(b34**2)))+aux428)); aux430=(8.*((b14**2)*(b22*b33)))+((4.*((b24**2)*b33))+((-8.*(b13*(b14*b34)))+aux429)); aux431=(-8.*((b13**2)*(b24**2)))+((4.*((b14**2)*b33))+((-2.*(b22*b33))+aux430)); aux432=(4.*((b14**2)*b22))+((-8.*((b14**2)*(b23**2)))+((16.*(b13*(b14*(b23*b24))))+aux431)); aux433=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux434=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux433))); aux435=((4.*((b13**2)*b22))+aux432)-(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux434))))); aux436=(4.*(b23**2))+((4.*(b24**2))+((-2.*b33)+((4.*(b34**2))+((-2.*b44)+(2.*aux435))))); aux437=((1.+((-4.*(b13**2))+((-4.*(b14**2))+aux418)))*(s2*aux424))/(-1.+((4.*(b13**2))+((4.*(b14**2))+((-2.*b22)+aux436)))); aux438=((0.+-2.j)*((b23+((2.*(b11*b23))+(((0.+-4.j)*(b13*b23))+aux390)))*s1))+(((0.+-2.j)*((((0.+2.j)*b23)+aux398)*s3))+(aux406+aux437)); aux439=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux440=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux441=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux440))); aux442=2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux441))))); aux443=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+((16.*(b12*aux439))+aux442); aux444=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux443))); aux445=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux444))); aux446=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux445)); aux447=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux446)); aux448=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux447))); aux449=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux448)); aux450=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux449))); aux451=((s1*aux371)/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux383))))+((s2*aux438)/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux450)))); aux452=(((0.+1.j)*aux176)/(1.+((-4.*(v13**2))+((-4.*(v14**2))+aux188))))+(aux252+(aux316+aux451)); aux453=aux46+((aux82/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux94))))+(aux141+aux452)); output=0.25*aux453; return output def coeffscuadraticos34(V,B): v11,v12,v13,v14=separate(V,0) v21,v22,v23,v24=separate(V,1) v31,v32,v33,v34=separate(V,2) v41,v42,v43,v44=separate(V,3) b11,b12,b13,b14=separate(B,0) b21,b22,b23,b24=separate(B,1) b31,b32,b33,b34=separate(B,2) b41,b42,b43,b44=separate(B,3) aux0=((0.+2.j)*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*((0.+2.j)+((-8.*b24)+((0.+4.j)*b44)))); aux1=((0.+-4.j)*(b13*(1.+((2.*b22)+((0.+-1.j)*b24)))))+((-2.*b33)+(-2.*(b22*(1.+(2.*b33))))); aux2=((0.+2.j)*b22)+((2.*(b13*b22))+(b24+(2.*(b11*((0.+1.j)+(((0.+2.j)*b22)+b24)))))); aux3=(4.*((b14**2)*b23))+((b14*(-1.+((4.*(b23**2))+aux1)))+(2.*(((0.+1.j)+(b13+aux2))*b34))); aux4=(4.*(((0.+1.j)+b13)*b24))+((2.*b44)+(b11*(2.+(((0.+8.j)*b24)+(4.*b44))))); aux5=(b12*((-4.*(b14*((2.*b23)+((0.+1.j)*b34))))+aux0))+((0.+1.j)*(aux3-(b23*(1.+aux4)))); aux6=(b14*(b24+((2.*(b24*b33))+(-2.*(b23*b34)))))+(b13*(b23+((-2.*(b24*b34))+(2.*(b23*b44))))); aux7=(-4.*((b23**2)*(1.+(2.*b44))))+(b22*(2.+((-8.*(b34**2))+((4.*b44)+(b33*(4.+(8.*b44))))))); aux8=(16.*(b23*(b24*b34)))+((-4.*(b34**2))+((2.*b44)+((4.*(b33*b44))+aux7))); aux9=(16.*(b12*aux6))+(2.*(b11*(1.+((-4.*(b24**2))+((2.*b33)+((-8.*((b24**2)*b33))+aux8)))))); aux10=(-4.*((b12**2)*(1.+((-4.*(b34**2))+((2.*b44)+(b33*(2.+(4.*b44))))))))+aux9; aux11=(-16.*((b13**2)*(b22*b44)))+((-8.*((b23**2)*b44))+((4.*(b33*b44))+((8.*(b22*(b33*b44)))+aux10))); aux12=(-8.*(b22*(b34**2)))+((2.*b44)+((-8.*((b13**2)*b44))+((4.*(b22*b44))+aux11))); aux13=(32.*(b13*(b14*(b22*b34))))+((16.*(b23*(b24*b34)))+((-4.*(b34**2))+aux12)); aux14=(-16.*((b14**2)*(b22*b33)))+((-8.*((b24**2)*b33))+((16.*(b13*(b14*b34)))+aux13)); aux15=(16.*((b13**2)*(b24**2)))+((2.*b33)+((-8.*((b14**2)*b33))+((4.*(b22*b33))+aux14))); aux16=(16.*((b14**2)*(b23**2)))+((-32.*(b13*(b14*(b23*b24))))+((-4.*(b24**2))+aux15)); aux17=(2.*b22)+((-8.*((b13**2)*b22))+((-8.*((b14**2)*b22))+((-4.*(b23**2))+aux16))); aux18=(-4.*((8.*((b12**2)*b34))+aux5))/(1.+((-4.*(b13**2))+((-4.*(b14**2))+aux17))); aux19=(-8.*(v11*(v24*v34)))+((-8.*(v12*(v13*v44)))+((4.*(v23*v44))+(8.*(v11*(v23*v44))))); aux20=((0.+16.j)*(v11*(v22*v34)))+((-8.*(v13*(v22*v34)))+((8.*(v12*(v23*v34)))+((-4.*(v24*v34))+aux19))); aux21=((0.+-16.j)*((v12**2)*v34))+((-4.*(v13*v34))+((8.*(v12*(v14*v34)))+(((0.+8.j)*(v22*v34))+aux20))); aux22=(8.*(v14*(v22*v33)))+((-8.*(v12*(v24*v33)))+(((0.+4.j)*v34)+(((0.+8.j)*(v11*v34))+aux21))); aux23=((0.+-16.j)*(v11*(v23*v24)))+((8.*(v13*(v23*v24)))+((4.*(v14*v33))+aux22)); aux24=((0.+16.j)*(v12*(v13*v24)))+((8.*(v13*(v14*v24)))+(((0.+-8.j)*(v23*v24))+aux23)); aux25=((0.+16.j)*(v12*(v14*v23)))+((-8.*((v14**2)*v23))+((-8.*(v14*(v23**2)))+((-4.*(v12*v24))+aux24))); aux26=(4.*(v14*v22))+(((0.+-16.j)*(v13*(v14*v22)))+((2.*v23)+((4.*(v11*v23))+aux25))); aux27=(v14*(v24+((2.*(v24*v33))+(-2.*(v23*v34)))))+(v13*(v23+((-2.*(v24*v34))+(2.*(v23*v44))))); aux28=(-4.*((v23**2)*(1.+(2.*v44))))+(v22*(2.+((-8.*(v34**2))+((4.*v44)+(v33*(4.+(8.*v44))))))); aux29=(16.*(v23*(v24*v34)))+((-4.*(v34**2))+((2.*v44)+((4.*(v33*v44))+aux28))); aux30=-2.*(v11*(1.+((-4.*(v24**2))+((2.*v33)+((-8.*((v24**2)*v33))+aux29))))); aux31=(4.*((v12**2)*(1.+((-4.*(v34**2))+((2.*v44)+(v33*(2.+(4.*v44))))))))+((-16.*(v12*aux27))+aux30); aux32=(16.*((v13**2)*(v22*v44)))+((8.*((v23**2)*v44))+((-4.*(v33*v44))+((-8.*(v22*(v33*v44)))+aux31))); aux33=(8.*(v22*(v34**2)))+((-2.*v44)+((8.*((v13**2)*v44))+((-4.*(v22*v44))+aux32))); aux34=(-32.*(v13*(v14*(v22*v34))))+((-16.*(v23*(v24*v34)))+((4.*(v34**2))+aux33)); aux35=(16.*((v14**2)*(v22*v33)))+((8.*((v24**2)*v33))+((-16.*(v13*(v14*v34)))+aux34)); aux36=(-16.*((v13**2)*(v24**2)))+((-2.*v33)+((8.*((v14**2)*v33))+((-4.*(v22*v33))+aux35))); aux37=(-16.*((v14**2)*(v23**2)))+((32.*(v13*(v14*(v23*v24))))+((4.*(v24**2))+aux36)); aux38=(-2.*v22)+((8.*((v13**2)*v22))+((8.*((v14**2)*v22))+((4.*(v23**2))+aux37))); aux39=((0.+2.j)*((-4.*(v12*v13))+((2.*v14)+(((0.+-8.j)*(v13*v14))+aux26))))/(-1.+((4.*(v13**2))+((4.*(v14**2))+aux38))); output=0.25*(aux18+aux39); return output def a1(V,B,R,S): c1=lineal1(V,B,R,S) c2=lineal2(V,B,R,S) c3=lineal3(V,B,R,S) c4=lineal4(V,B,R,S) c11=coeffscuadraticos11(V,B) c12=coeffscuadraticos12(V,B) c13=coeffscuadraticos13(V,B) c14=coeffscuadraticos14(V,B) c22=coeffscuadraticos22(V,B) c23=coeffscuadraticos23(V,B) c24=coeffscuadraticos24(V,B) c33=coeffscuadraticos33(V,B) c34=coeffscuadraticos34(V,B) c44=coeffscuadraticos44(V,B) aux0=((2.*(c13*(c3*c44)))/((c34**2)+(-4.*(c33*c44))))+((-4.*(c1*(c33*\ c44)))/((c34**2)+(-4.*(c33*c44)))); aux1=((c1*(c34**2))/((c34**2)+(-4.*(c33*c44))))+(((2.*(c14*(c33*c4)))/\ ((c34**2)+(-4.*(c33*c44))))+aux0); output=(aux1-((c13*(c34*c4))/((c34**2)+(-4.*(c33*c44)))))-((c14*(c3*\ c34))/((c34**2)+(-4.*(c33*c44)))); return output def a2(V,B,R,S): c1=lineal1(V,B,R,S) c2=lineal2(V,B,R,S) c3=lineal3(V,B,R,S) c4=lineal4(V,B,R,S) c11=coeffscuadraticos11(V,B) c12=coeffscuadraticos12(V,B) c13=coeffscuadraticos13(V,B) c14=coeffscuadraticos14(V,B) c22=coeffscuadraticos22(V,B) c23=coeffscuadraticos23(V,B) c24=coeffscuadraticos24(V,B) c33=coeffscuadraticos33(V,B) c34=coeffscuadraticos34(V,B) c44=coeffscuadraticos44(V,B) aux0=((2.*(c23*(c3*c44)))/((c34**2)+(-4.*(c33*c44))))+((-4.*(c2*(c33*\ c44)))/((c34**2)+(-4.*(c33*c44)))); aux1=((c2*(c34**2))/((c34**2)+(-4.*(c33*c44))))+(((2.*(c24*(c33*c4)))/\ ((c34**2)+(-4.*(c33*c44))))+aux0); output=(aux1-((c23*(c34*c4))/((c34**2)+(-4.*(c33*c44)))))-((c24*(c3*\ c34))/((c34**2)+(-4.*(c33*c44)))); return output def a12(V,B,R,S): c1=lineal1(V,B,R,S) c2=lineal2(V,B,R,S) c3=lineal3(V,B,R,S) c4=lineal4(V,B,R,S) c11=coeffscuadraticos11(V,B) c12=coeffscuadraticos12(V,B) c13=coeffscuadraticos13(V,B) c14=coeffscuadraticos14(V,B) c22=coeffscuadraticos22(V,B) c23=coeffscuadraticos23(V,B) c24=coeffscuadraticos24(V,B) c33=coeffscuadraticos33(V,B) c34=coeffscuadraticos34(V,B) c44=coeffscuadraticos44(V,B) aux0=((2.*(c13*(c23*c44)))/((c34**2)+(-4.*(c33*c44))))+((c33*((2.*(\ c14*c24))+(-4.*(c12*c44))))/((c34**2)+(-4.*(c33*c44)))); aux1=(((c12*(c34**2))/((c34**2)+(-4.*(c33*c44))))+aux0)-((c13*(c24*\ c34))/((c34**2)+(-4.*(c33*c44)))); output=aux1-((c14*(c23*c34))/((c34**2)+(-4.*(c33*c44)))); return output def a11(V,B,R,S): c1=lineal1(V,B,R,S) c2=lineal2(V,B,R,S) c3=lineal3(V,B,R,S) c4=lineal4(V,B,R,S) c11=coeffscuadraticos11(V,B) c12=coeffscuadraticos12(V,B) c13=coeffscuadraticos13(V,B) c14=coeffscuadraticos14(V,B) c22=coeffscuadraticos22(V,B) c23=coeffscuadraticos23(V,B) c24=coeffscuadraticos24(V,B) c33=coeffscuadraticos33(V,B) c34=coeffscuadraticos34(V,B) c44=coeffscuadraticos44(V,B) aux0=(((c13**2)*c44)/((c34**2)+(-4.*(c33*c44))))+((-4.*(c11*(c33*c44))\ )/((c34**2)+(-4.*(c33*c44)))); aux1=(((c14**2)*c33)/((c34**2)+(-4.*(c33*c44))))+(((c11*(c34**2))/((\ c34**2)+(-4.*(c33*c44))))+aux0); output=aux1-((c13*(c14*c34))/((c34**2)+(-4.*(c33*c44)))); return output def a22(V,B,R,S): c1=lineal1(V,B,R,S) c2=lineal2(V,B,R,S) c3=lineal3(V,B,R,S) c4=lineal4(V,B,R,S) c11=coeffscuadraticos11(V,B) c12=coeffscuadraticos12(V,B) c13=coeffscuadraticos13(V,B) c14=coeffscuadraticos14(V,B) c22=coeffscuadraticos22(V,B) c23=coeffscuadraticos23(V,B) c24=coeffscuadraticos24(V,B) c33=coeffscuadraticos33(V,B) c34=coeffscuadraticos34(V,B) c44=coeffscuadraticos44(V,B) aux0=(((c23**2)*c44)/((c34**2)+(-4.*(c33*c44))))+((-4.*(c22*(c33*c44))\ )/((c34**2)+(-4.*(c33*c44)))); aux1=(((c24**2)*c33)/((c34**2)+(-4.*(c33*c44))))+(((c22*(c34**2))/((\ c34**2)+(-4.*(c33*c44))))+aux0); output=aux1-((c23*(c24*c34))/((c34**2)+(-4.*(c33*c44)))); return output def independiente_transformado(c3,c4,c34,c33,c44): return (((c33*(c4**2))+((c3**2)*c44))-(c3*(c34*c4)))/((c34**2)+(-4.*(c33*c44))); def integral_aux(a1,a2,a12,a11,a22,c33,c34,c44,c3,c4,V,B,R,S): aux0=(((a11*(a2**2))+((a1**2)*a22))-(a1*(a12*a2)))/((a12**2)+(-4.*(a11*a22))); aux1=(((-4.*c33)+((c34**2)/c44))**-0.5)*(((-c44)**-0.5)*((np.exp(aux0))*(np.pi**2))); aux2=a22*(((2.*(a1*a22))-(a12*a2))*((((a12**2)+(-4.*(a11*a22)))**-2.)*aux1)); output=8.*((np.sqrt(((-4.*a11)+((a12**2)/a22))))*(((-a22)**-0.5)*aux2)); independientes=np.exp(independiente_transformado(c3,c4,c34,c33,c44))*np.exp(independiente(V,B,R,S)) det1=(np.linalg.det(np.array(V)+(1/2)*np.eye(4)))**(1/4) det2=(np.linalg.det(np.array(B)+(1/2)*np.eye(4)))**(1/4) cons= 1/(2*np.pi)*1/(2*np.pi) return (independientes*output*cons)/(det1*det2*np.sqrt(2)) def fidelidad_aux(a1,a2,a12,a11,a22,c33,c34,c44,c3,c4,V,B,R,S): aux0 = (((a11 * (a2 ** 2)) + ((a1 ** 2) * a22)) - (a1 * (a12 * a2))) / ((a12 ** 2) + (-4. * (a11 * a22))); aux1 = (((-4. * c33) + ((c34 ** 2) / c44)) ** -0.5) * (((-c44) ** -0.5) * ((np.exp(aux0)) * (np.pi ** 2))); output = 4. * ((((-4. * a11) + ((a12 ** 2) / a22)) ** -0.5) * (((-a22) ** -0.5) * aux1)); independientes = np.exp(independiente_transformado(c3, c4, c34, c33, c44)) * np.exp(independiente(V, B, R, S)) det1 = (np.linalg.det(np.array(V) + (1 / 2) * np.eye(4))) ** (1 / 4) det2 = (np.linalg.det(np.array(B) + (1 / 2) * np.eye(4))) ** (1 / 4) cons= 1/(4*np.pi**2) fid=(independientes*output*cons)/(det1*det2) return fid*np.conjugate(fid) def overlap_aux(a1,a2,a12,a11,a22,c33,c34,c44,c3,c4,V,B,R,S): aux0 = (((a11 * (a2 ** 2)) + ((a1 ** 2) * a22)) - (a1 * (a12 * a2))) / ((a12 ** 2) + (-4. * (a11 * a22))); aux1 = (((-4. * c33) + ((c34 ** 2) / c44)) ** -0.5) * (((-c44) ** -0.5) * ((np.exp(aux0)) * (np.pi ** 2))); output = 4. * ((((-4. * a11) + ((a12 ** 2) / a22)) ** -0.5) * (((-a22) ** -0.5) * aux1)); independientes = np.exp(independiente_transformado(c3, c4, c34, c33, c44)) * np.exp(independiente(V, B, R, S)) det1 = (np.linalg.det(np.array(V) + (1 / 2) * np.eye(4))) ** (1 / 4) det2 = (np.linalg.det(np.array(B) + (1 / 2) * np.eye(4))) ** (1 / 4) cons= 1/(4*np.pi**2) fid=(independientes*output*cons)/(det1*det2) return fid def condiciones(V,B,R,S): if np.real(coeffscuadraticos44(V,B)) < 0: if np.real(coeffscuadraticos33(V,B)- (coeffscuadraticos34(V,B)**2)/(4*coeffscuadraticos44(V,B)))<=0: if (np.real(a22(V,B,R,S))<0): if np.real(-4*a11(V,B,R,S)+(a12(V,B,R,S)**2 /a22(V,B,R,S)))>0: return 1 else: print(display(Markdown('Integral in $\\alpha_{4}$ is divergent, integrand does not fulfill $Re(C_{44})<0$'))) #print(R,V,S,B) raise NameError("Divergencia en la integral 1") else: #print(R,V,S,B) raise NameError(display(Markdown('Integral in $\\alpha_{4}$ is divergent, integrand does not fulfill $Re(C_{44})<0$'))) else: #print(R,V,S,B) raise NameError(display(Markdown('Integral in $\\alpha_{4}$ is divergent, integrand does not fulfill $Re(C_{44})<0$'))) else: print(display(Markdown('Integral in $\\alpha_{4}$ is divergent, integrand does not fulfill $Re(C_{44})<0$'))) #print(R,V,S,B) raise NameError("Divergencia en la integral 1") '''def integral(V,B,R,S): condiciones(V,B,R,S) a=a1(V,B,R,S) b=a2(V,B,R,S) c=a12(V,B,R,S) d=a11(V,B,R,S) e=a22(V,B,R,S) f=coeffscuadraticos33(V,B) g=coeffscuadraticos34(V,B) h=coeffscuadraticos44(V,B) i=lineal3(V,B,R,S) j=lineal4(V,B,R,S) return integral_aux(a,b,c,d,e,f,g,h,i,j,V,B,R,S)''' def integral(vector1,vector2): V=[[vector1[5,0],vector1[6,0],vector1[7,0],vector1[8,0]],[vector1[6,0],vector1[9,0],vector1[10,0],vector1[11,0]],[vector1[7,0],vector1[10,0],vector1[12,0],vector1[13,0]],[vector1[8,0],vector1[11,0],vector1[13,0],vector1[14,0]]] R=[vector1[i,0] for i in range(1,5)] B=[[vector2[5,0],vector2[6,0],vector2[7,0],vector2[8,0]],[vector2[6,0],vector2[9,0],vector2[10,0],vector2[11,0]],[vector2[7,0],vector2[10,0],vector2[12,0],vector2[13,0]],[vector2[8,0],vector2[11,0],vector2[13,0],vector2[14,0]]] S=[vector2[i,0] for i in range(1,5)] #condiciones(V,B,R,S) a=a1(V,B,R,S) b=a2(V,B,R,S) c=a12(V,B,R,S) d=a11(V,B,R,S) e=a22(V,B,R,S) f=coeffscuadraticos33(V,B) g=coeffscuadraticos34(V,B) h=coeffscuadraticos44(V,B) i=lineal3(V,B,R,S) j=lineal4(V,B,R,S) return integral_aux(a,b,c,d,e,f,g,h,i,j,V,B,R,S) def fidelity(V,B,R,S): condiciones(V,B,R,S) a=a1(V,B,R,S) b=a2(V,B,R,S) c=a12(V,B,R,S) d=a11(V,B,R,S) e=a22(V,B,R,S) f=coeffscuadraticos33(V,B) g=coeffscuadraticos34(V,B) h=coeffscuadraticos44(V,B) i=lineal3(V,B,R,S) j=lineal4(V,B,R,S) return fidelidad_aux(a,b,c,d,e,f,g,h,i,j,V,B,R,S) def overlap2(vector1,vector2): V=[[vector1[5,0],vector1[6,0],vector1[7,0],vector1[8,0]],[vector1[6,0],vector1[9,0],vector1[10,0],vector1[11,0]],[vector1[7,0],vector1[10,0],vector1[12,0],vector1[13,0]],[vector1[8,0],vector1[11,0],vector1[13,0],vector1[14,0]]] R=[vector1[i,0] for i in range(1,5)] B=[[vector2[5,0],vector2[6,0],vector2[7,0],vector2[8,0]],[vector2[6,0],vector2[9,0],vector2[10,0],vector2[11,0]],[vector2[7,0],vector2[10,0],vector2[12,0],vector2[13,0]],[vector2[8,0],vector2[11,0],vector2[13,0],vector2[14,0]]] S=[vector2[i,0] for i in range(1,5)] #condiciones(V,B,R,S) a=a1(V,B,R,S) b=a2(V,B,R,S) c=a12(V,B,R,S) d=a11(V,B,R,S) e=a22(V,B,R,S) f=coeffscuadraticos33(V,B) g=coeffscuadraticos34(V,B) h=coeffscuadraticos44(V,B) i=lineal3(V,B,R,S) j=lineal4(V,B,R,S) return np.round(overlap_aux(a,b,c,d,e,f,g,h,i,j,V,B,R,S),9) def gaussiano_norm(z): #return np.sqrt(overlap2(z,z)) return 1 def coherent_overlap(vector1,vector2): R=[vector1[i,0] for i in range(1,5)] S=[vector2[i,0] for i in range(1,5)] a=1/2*(R[0]**2+R[2]**2)+1/2*(R[1]**2+R[3]**2) b=1/2*(S[0]**2+S[2]**2)+1/2*(S[1]**2+S[3]**2) c=1/2*(R[0]+1j*R[2])*(S[0]-1j*S[2])+1/2*(R[1]+1j*R[3])*(S[1]-1j*S[3]) return np.exp(-1/2*(a+b)+c) def coherent_update(vector1,vector2): R=[vector1[i,0] for i in range(1,5)] S=[vector2[i,0] for i in range(1,5)] return (1/np.sqrt(2)*(R[0]+1j*R[2])+1/np.sqrt(2)*(S[0]-1j*S[2]))*coherent_overlap(vector1,vector2) def overlap_density(vector1,vector2): V = [[vector1[5, 0], vector1[6, 0], vector1[7, 0], vector1[8, 0]], [vector1[6, 0], vector1[9, 0], vector1[10, 0], vector1[11, 0]], [vector1[7, 0], vector1[10, 0], vector1[12, 0], vector1[13, 0]], [vector1[8, 0], vector1[11, 0], vector1[13, 0], vector1[14, 0]]] R = [vector1[i, 0] for i in range(1, 5)] B = [[vector2[5, 0], vector2[6, 0], vector2[7, 0], vector2[8, 0]], [vector2[6, 0], vector2[9, 0], vector2[10, 0], vector2[11, 0]], [vector2[7, 0], vector2[10, 0], vector2[12, 0], vector2[13, 0]], [vector2[8, 0], vector2[11, 0], vector2[13, 0], vector2[14, 0]]] S = [vector2[i, 0] for i in range(1, 5)] v11, v12, v13, v14 = separate(V, 0) v21, v22, v23, v24 = separate(V, 1) v31, v32, v33, v34 = separate(V, 2) v41, v42, v43, v44 = separate(V, 3) w11, w12, w13, w14 = separate(B, 0) w21, w22, w23, w24 = separate(B, 1) w31, w32, w33, w34 = separate(B, 2) w41, w42, w43, w44 = separate(B, 3) r1, r2, r3, r4 = R[0], R[1], R[2], R[3] s1, s2, s3, s4 = S[0], S[1], S[2], S[3] aux0 = ((v24 + w24) * ((-2. * (v23 * (v13 + w13))) + ((v12 + w12) * (v33 + w33)))) - ( (((v12 + w12) * (v23 + w23)) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux1 = (r4 - s4) * (aux0 - ((v14 + w14) * ((-2. * (v23 * (v23 + w23))) + ((v22 + w22) * (v33 + w33))))); aux2 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux3 = (v24 + w24) * (aux2 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux4 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux5 = (aux4 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux6 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux7 = (v14 + w14) * (aux6 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux8 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux9 = (v34 + w34) * (aux8 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux10 = ((v14 + w14) * (((v22 + w22) * (v34 + w34)) - ((v23 + w23) * (v24 + w24)))) + ( (((v12 + w12) * (v23 + w23)) - ((v13 + w13) * (v22 + w22))) * (v44 + w44)); aux11 = (r3 - s3) * (aux10 - ((v24 + w24) * (((v12 + w12) * (v34 + w34)) - ((v13 + w13) * (v24 + w24))))); aux12 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux13 = (v24 + w24) * (aux12 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux14 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux15 = (aux14 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux16 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux17 = (v14 + w14) * (aux16 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux18 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux19 = (v34 + w34) * (aux18 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux20 = ((v34 + w34) * (((v12 + w12) * (v34 + w34)) - ((v13 + w13) * (v24 + w24)))) - ( ((-2. * (v23 * (v13 + w13))) + ((v12 + w12) * (v33 + w33))) * (v44 + w44)); aux21 = (r2 - s2) * (aux20 - ((v14 + w14) * ((2. * (v23 * (v34 + w34))) - ((v24 + w24) * (v33 + w33))))); aux22 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux23 = (v24 + w24) * (aux22 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux24 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux25 = (aux24 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux26 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux27 = (v14 + w14) * (aux26 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux28 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux29 = (v34 + w34) * (aux28 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux30 = ((v24 + w24) * ((2. * (v23 * (v34 + w34))) - ((v24 + w24) * (v33 + w33)))) + ( ((-2. * (v23 * (v23 + w23))) + ((v22 + w22) * (v33 + w33))) * (v44 + w44)); aux31 = (r1 - s1) * (aux30 - ((v34 + w34) * (((v22 + w22) * (v34 + w34)) - ((v23 + w23) * (v24 + w24))))); aux32 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux33 = (v24 + w24) * (aux32 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux34 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux35 = (aux34 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux36 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux37 = (v14 + w14) * (aux36 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux38 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux39 = (v34 + w34) * (aux38 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux40 = (aux21 / (((aux23 + aux25) - aux27) - aux29)) + (aux31 / (((aux33 + aux35) - aux37) - aux39)); aux41 = (aux1 / (((aux3 + aux5) - aux7) - aux9)) + ((aux11 / (((aux13 + aux15) - aux17) - aux19)) + aux40); aux42 = ((v14 + w14) * (((v12 + w12) * (v33 + w33)) - ((v13 + w13) * (v23 + w23)))) + ( (((v11 + w11) * (v23 + w23)) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux43 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux44 = (v24 + w24) * (aux43 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux45 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux46 = (aux45 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux47 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux48 = (v14 + w14) * (aux47 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux49 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux50 = (v34 + w34) * (aux49 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux51 = ((r4 - s4) * (aux42 - ((v24 + w24) * (((v11 + w11) * (v33 + w33)) - (((v13 + w13) ** 2)))))) / ( ((aux44 + aux46) - aux48) - aux50); aux52 = ((v24 + w24) * (((v11 + w11) * (v34 + w34)) - ((v13 + w13) * (v14 + w14)))) - ( (((v11 + w11) * (v23 + w23)) - ((v12 + w12) * (v13 + w13))) * (v44 + w44)); aux53 = (r3 - s3) * (aux52 - ((v14 + w14) * (((v12 + w12) * (v34 + w34)) - ((v14 + w14) * (v23 + w23))))); aux54 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux55 = (v24 + w24) * (aux54 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux56 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux57 = (aux56 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux58 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux59 = (v14 + w14) * (aux58 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux60 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux61 = (v34 + w34) * (aux60 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux62 = ((v14 + w14) * (((v13 + w13) * (v34 + w34)) - ((v14 + w14) * (v33 + w33)))) + ( (((v11 + w11) * (v33 + w33)) - (((v13 + w13) ** 2))) * (v44 + w44)); aux63 = (r2 - s2) * (aux62 - ((v34 + w34) * (((v11 + w11) * (v34 + w34)) - ((v13 + w13) * (v14 + w14))))); aux64 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux65 = (v24 + w24) * (aux64 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux66 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux67 = (aux66 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux68 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux69 = (v14 + w14) * (aux68 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux70 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux71 = (v34 + w34) * (aux70 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux72 = ((v34 + w34) * (((v12 + w12) * (v34 + w34)) - ((v14 + w14) * (v23 + w23)))) - ( (((v12 + w12) * (v33 + w33)) - ((v13 + w13) * (v23 + w23))) * (v44 + w44)); aux73 = (r1 - s1) * (aux72 - ((v24 + w24) * (((v13 + w13) * (v34 + w34)) - ((v14 + w14) * (v33 + w33))))); aux74 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux75 = (v24 + w24) * (aux74 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux76 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux77 = (aux76 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux78 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux79 = (v14 + w14) * (aux78 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux80 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux81 = (v34 + w34) * (aux80 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux82 = (aux63 / (((aux65 + aux67) - aux69) - aux71)) + (aux73 / (((aux75 + aux77) - aux79) - aux81)); aux83 = ((-(r1 - s1) * aux41)) - ((r2 - s2) * (aux51 + ((aux53 / (((aux55 + aux57) - aux59) - aux61)) + aux82))); aux84 = (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v24 + w24)) - ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux85 = (r4 - s4) * (aux84 - ((v14 + w14) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))))); aux86 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux87 = (v24 + w24) * (aux86 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux88 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux89 = (aux88 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux90 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux91 = (v14 + w14) * (aux90 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux92 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux93 = (v34 + w34) * (aux92 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux94 = ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v34 + w34)) - ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v44 + w44)); aux95 = (r2 - s2) * (aux94 - ((v14 + w14) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24))))); aux96 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux97 = (v24 + w24) * (aux96 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux98 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux99 = (aux98 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux100 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux101 = (v14 + w14) * (aux100 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux102 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux103 = (v34 + w34) * (aux102 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux104 = ((v14 + w14) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v44 + w44)); aux105 = (r3 - s3) * (aux104 - ((v24 + w24) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux106 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux107 = (v24 + w24) * (aux106 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux108 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux109 = (aux108 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux110 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux111 = (v14 + w14) * (aux110 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux112 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux113 = (v34 + w34) * (aux112 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux114 = ((v24 + w24) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v44 + w44)); aux115 = (r1 - s1) * (aux114 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v34 + w34))); aux116 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux117 = (v24 + w24) * (aux116 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux118 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux119 = (aux118 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux120 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux121 = (v14 + w14) * (aux120 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux122 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux123 = (v34 + w34) * (aux122 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux124 = (aux105 / (((aux107 + aux109) - aux111) - aux113)) + (aux115 / (((aux117 + aux119) - aux121) - aux123)); aux125 = (aux85 / (((aux87 + aux89) - aux91) - aux93)) + ((aux95 / (((aux97 + aux99) - aux101) - aux103)) + aux124); aux126 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux127 = (r4 - s4) * (aux126 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))); aux128 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux129 = (v24 + w24) * (aux128 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux130 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux131 = (aux130 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux132 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux133 = (v14 + w14) * (aux132 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux134 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux135 = (v34 + w34) * (aux134 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux136 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux137 = (r2 - s2) * (aux136 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux138 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux139 = (v24 + w24) * (aux138 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux140 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux141 = (aux140 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux142 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux143 = (v14 + w14) * (aux142 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux144 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux145 = (v34 + w34) * (aux144 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux146 = ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14)))) - ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux147 = (r3 - s3) * (aux146 - ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))))); aux148 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux149 = (v24 + w24) * (aux148 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux150 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux151 = (aux150 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux152 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux153 = (v14 + w14) * (aux152 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux154 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux155 = (v34 + w34) * (aux154 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux156 = ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33)) - ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux157 = (r1 - s1) * (aux156 - ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24))))); aux158 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux159 = (v24 + w24) * (aux158 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux160 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux161 = (aux160 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux162 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux163 = (v14 + w14) * (aux162 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux164 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux165 = (v34 + w34) * (aux164 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux166 = (aux147 / (((aux149 + aux151) - aux153) - aux155)) + (aux157 / (((aux159 + aux161) - aux163) - aux165)); aux167 = (aux127 / (((aux129 + aux131) - aux133) - aux135)) + ( (aux137 / (((aux139 + aux141) - aux143) - aux145)) + aux166); aux168 = ((v13 + w13) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v34 + w34)); aux169 = (v24 + w24) * (aux168 - ((((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))) * (v33 + w33))); aux170 = ((v13 + w13) * ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v33 + w33)); aux171 = (aux170 - (((2. * (v23 * (v11 + w11))) - ((v12 + w12) * (v13 + w13))) * (v23 + w23))) * (v44 + w44); aux172 = ((v23 + w23) * ((-2. * (v23 * (v14 + w14))) + ((v13 + w13) * (v24 + w24)))) + ( ((2. * (v23 * (v12 + w12))) - ((v13 + w13) * (v22 + w22))) * (v34 + w34)); aux173 = (v14 + w14) * (aux172 - ((((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22))) * (v33 + w33))); aux174 = ((v13 + w13) * (((v12 + w12) * (v24 + w24)) - ((v14 + w14) * (v22 + w22)))) + ( (((v11 + w11) * (v22 + w22)) - (((v12 + w12) ** 2))) * (v34 + w34)); aux175 = (v34 + w34) * (aux174 - ((v23 + w23) * (((v11 + w11) * (v24 + w24)) - ((v12 + w12) * (v14 + w14))))); aux176 = (np.exp(((aux83 - ((r3 - s3) * aux125)) - ((r4 - s4) * aux167)))) * ( (((aux169 + aux171) - aux173) - aux175) ** -0.5); output = 4. * aux176; return np.round(output,9)

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366055dbcf6408a58e9b261e54052482072fa576

6,185

py

Python

notes/migrations/0012_auto_20220126_1914.py

ianshulx/egiportal

3a147a4a61e58f2a6229e08a5a4c256d7b674b81

[ "MIT" ]

1

2022-02-17T10:34:21.000Z

notes/migrations/0012_auto_20220126_1914.py

ianshulx/egiportal

3a147a4a61e58f2a6229e08a5a4c256d7b674b81

[ "MIT" ]

null

notes/migrations/0012_auto_20220126_1914.py

ianshulx/egiportal

3a147a4a61e58f2a6229e08a5a4c256d7b674b81

[ "MIT" ]

null

# Generated by Django 3.1.14 on 2022-01-26 13:44 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('notes', '0011_mba_sem1_notes_mba_sem2_notes_mba_sem3_notes_mba_sem4_notes'), ] operations = [ migrations.RenameField( model_name='bca_sem1_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='bca_sem2_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='bca_sem3_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='bca_sem4_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='bca_sem5_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='bca_sem6_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_ce_sem3_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_ce_sem4_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_ce_sem5_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_ce_sem6_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_ce_sem7_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_ce_sem8_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_cs_sem3_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_cs_sem4_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_cs_sem5_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_cs_sem6_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_cs_sem7_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_cs_sem8_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_ee_sem3_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_ee_sem4_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_ee_sem5_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_ee_sem6_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_ee_sem7_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_ee_sem8_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_me_sem3_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_me_sem4_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_me_sem5_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_me_sem6_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_me_sem7_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_me_sem8_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_sem1_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='btech_sem2_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='mba_sem1_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='mba_sem2_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='mba_sem3_notes', old_name='Drive_link', new_name='google_drive_link', ), migrations.RenameField( model_name='mba_sem4_notes', old_name='Drive_link', new_name='google_drive_link', ), ]

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11

3d3a3533c99f3d474b8c1864f1bc1ebdcc92a60f

64,974

py

Python

sdk/python/pulumi_google_native/appengine/v1beta/version.py

AaronFriel/pulumi-google-native

75d1cda425e33d4610348972cd70bddf35f1770d

[ "Apache-2.0" ]

44

2021-04-18T23:00:48.000Z

2022-02-14T17:43:15.000Z

sdk/python/pulumi_google_native/appengine/v1beta/version.py

AaronFriel/pulumi-google-native

75d1cda425e33d4610348972cd70bddf35f1770d

[ "Apache-2.0" ]

354

2021-04-16T16:48:39.000Z

2022-03-31T17:16:39.000Z

sdk/python/pulumi_google_native/appengine/v1beta/version.py

AaronFriel/pulumi-google-native

75d1cda425e33d4610348972cd70bddf35f1770d

[ "Apache-2.0" ]

8

2021-04-24T17:46:51.000Z

2022-01-05T10:40:21.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from ... import _utilities from . import outputs from ._enums import * from ._inputs import * __all__ = ['VersionArgs', 'Version'] @pulumi.input_type class VersionArgs: def __init__(__self__, *, app_id: pulumi.Input[str], service_id: pulumi.Input[str], api_config: Optional[pulumi.Input['ApiConfigHandlerArgs']] = None, app_engine_apis: Optional[pulumi.Input[bool]] = None, automatic_scaling: Optional[pulumi.Input['AutomaticScalingArgs']] = None, basic_scaling: Optional[pulumi.Input['BasicScalingArgs']] = None, beta_settings: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, build_env_variables: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, default_expiration: Optional[pulumi.Input[str]] = None, deployment: Optional[pulumi.Input['DeploymentArgs']] = None, endpoints_api_service: Optional[pulumi.Input['EndpointsApiServiceArgs']] = None, entrypoint: Optional[pulumi.Input['EntrypointArgs']] = None, env: Optional[pulumi.Input[str]] = None, env_variables: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, error_handlers: Optional[pulumi.Input[Sequence[pulumi.Input['ErrorHandlerArgs']]]] = None, handlers: Optional[pulumi.Input[Sequence[pulumi.Input['UrlMapArgs']]]] = None, health_check: Optional[pulumi.Input['HealthCheckArgs']] = None, id: Optional[pulumi.Input[str]] = None, inbound_services: Optional[pulumi.Input[Sequence[pulumi.Input['VersionInboundServicesItem']]]] = None, instance_class: Optional[pulumi.Input[str]] = None, libraries: Optional[pulumi.Input[Sequence[pulumi.Input['LibraryArgs']]]] = None, liveness_check: Optional[pulumi.Input['LivenessCheckArgs']] = None, manual_scaling: Optional[pulumi.Input['ManualScalingArgs']] = None, network: Optional[pulumi.Input['NetworkArgs']] = None, nobuild_files_regex: Optional[pulumi.Input[str]] = None, readiness_check: Optional[pulumi.Input['ReadinessCheckArgs']] = None, resources: Optional[pulumi.Input['ResourcesArgs']] = None, runtime: Optional[pulumi.Input[str]] = None, runtime_api_version: Optional[pulumi.Input[str]] = None, runtime_channel: Optional[pulumi.Input[str]] = None, runtime_main_executable_path: Optional[pulumi.Input[str]] = None, service_account: Optional[pulumi.Input[str]] = None, serving_status: Optional[pulumi.Input['VersionServingStatus']] = None, threadsafe: Optional[pulumi.Input[bool]] = None, vm: Optional[pulumi.Input[bool]] = None, vpc_access_connector: Optional[pulumi.Input['VpcAccessConnectorArgs']] = None): """ The set of arguments for constructing a Version resource. :param pulumi.Input['ApiConfigHandlerArgs'] api_config: Serving configuration for Google Cloud Endpoints (https://cloud.google.com/appengine/docs/python/endpoints/).Only returned in GET requests if view=FULL is set. :param pulumi.Input[bool] app_engine_apis: app_engine_apis allows second generation runtimes to access the App Engine APIs. :param pulumi.Input['AutomaticScalingArgs'] automatic_scaling: Automatic scaling is based on request rate, response latencies, and other application metrics. Instances are dynamically created and destroyed as needed in order to handle traffic. :param pulumi.Input['BasicScalingArgs'] basic_scaling: A service with basic scaling will create an instance when the application receives a request. The instance will be turned down when the app becomes idle. Basic scaling is ideal for work that is intermittent or driven by user activity. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] beta_settings: Metadata settings that are supplied to this version to enable beta runtime features. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] build_env_variables: Environment variables available to the build environment.Only returned in GET requests if view=FULL is set. :param pulumi.Input[str] default_expiration: Duration that static files should be cached by web proxies and browsers. Only applicable if the corresponding StaticFilesHandler (https://cloud.google.com/appengine/docs/admin-api/reference/rest/v1beta/apps.services.versions#StaticFilesHandler) does not specify its own expiration time.Only returned in GET requests if view=FULL is set. :param pulumi.Input['DeploymentArgs'] deployment: Code and application artifacts that make up this version.Only returned in GET requests if view=FULL is set. :param pulumi.Input['EndpointsApiServiceArgs'] endpoints_api_service: Cloud Endpoints configuration.If endpoints_api_service is set, the Cloud Endpoints Extensible Service Proxy will be provided to serve the API implemented by the app. :param pulumi.Input['EntrypointArgs'] entrypoint: The entrypoint for the application. :param pulumi.Input[str] env: App Engine execution environment for this version.Defaults to standard. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] env_variables: Environment variables available to the application.Only returned in GET requests if view=FULL is set. :param pulumi.Input[Sequence[pulumi.Input['ErrorHandlerArgs']]] error_handlers: Custom static error pages. Limited to 10KB per page.Only returned in GET requests if view=FULL is set. :param pulumi.Input[Sequence[pulumi.Input['UrlMapArgs']]] handlers: An ordered list of URL-matching patterns that should be applied to incoming requests. The first matching URL handles the request and other request handlers are not attempted.Only returned in GET requests if view=FULL is set. :param pulumi.Input['HealthCheckArgs'] health_check: Configures health checking for instances. Unhealthy instances are stopped and replaced with new instances. Only applicable in the App Engine flexible environment.Only returned in GET requests if view=FULL is set. :param pulumi.Input[str] id: Relative name of the version within the service. Example: v1. Version names can contain only lowercase letters, numbers, or hyphens. Reserved names: "default", "latest", and any name with the prefix "ah-". :param pulumi.Input[Sequence[pulumi.Input['VersionInboundServicesItem']]] inbound_services: Before an application can receive email or XMPP messages, the application must be configured to enable the service. :param pulumi.Input[str] instance_class: Instance class that is used to run this version. Valid values are: AutomaticScaling: F1, F2, F4, F4_1G ManualScaling or BasicScaling: B1, B2, B4, B8, B4_1GDefaults to F1 for AutomaticScaling and B1 for ManualScaling or BasicScaling. :param pulumi.Input[Sequence[pulumi.Input['LibraryArgs']]] libraries: Configuration for third-party Python runtime libraries that are required by the application.Only returned in GET requests if view=FULL is set. :param pulumi.Input['LivenessCheckArgs'] liveness_check: Configures liveness health checking for instances. Unhealthy instances are stopped and replaced with new instancesOnly returned in GET requests if view=FULL is set. :param pulumi.Input['ManualScalingArgs'] manual_scaling: A service with manual scaling runs continuously, allowing you to perform complex initialization and rely on the state of its memory over time. Manually scaled versions are sometimes referred to as "backends". :param pulumi.Input['NetworkArgs'] network: Extra network settings. Only applicable in the App Engine flexible environment. :param pulumi.Input[str] nobuild_files_regex: Files that match this pattern will not be built into this version. Only applicable for Go runtimes.Only returned in GET requests if view=FULL is set. :param pulumi.Input['ReadinessCheckArgs'] readiness_check: Configures readiness health checking for instances. Unhealthy instances are not put into the backend traffic rotation.Only returned in GET requests if view=FULL is set. :param pulumi.Input['ResourcesArgs'] resources: Machine resources for this version. Only applicable in the App Engine flexible environment. :param pulumi.Input[str] runtime: Desired runtime. Example: python27. :param pulumi.Input[str] runtime_api_version: The version of the API in the given runtime environment. Please see the app.yaml reference for valid values at https://cloud.google.com/appengine/docs/standard//config/appref :param pulumi.Input[str] runtime_channel: The channel of the runtime to use. Only available for some runtimes. Defaults to the default channel. :param pulumi.Input[str] runtime_main_executable_path: The path or name of the app's main executable. :param pulumi.Input[str] service_account: The identity that the deployed version will run as. Admin API will use the App Engine Appspot service account as default if this field is neither provided in app.yaml file nor through CLI flag. :param pulumi.Input['VersionServingStatus'] serving_status: Current serving status of this version. Only the versions with a SERVING status create instances and can be billed.SERVING_STATUS_UNSPECIFIED is an invalid value. Defaults to SERVING. :param pulumi.Input[bool] threadsafe: Whether multiple requests can be dispatched to this version at once. :param pulumi.Input[bool] vm: Whether to deploy this version in a container on a virtual machine. :param pulumi.Input['VpcAccessConnectorArgs'] vpc_access_connector: Enables VPC connectivity for standard apps. """ pulumi.set(__self__, "app_id", app_id) pulumi.set(__self__, "service_id", service_id) if api_config is not None: pulumi.set(__self__, "api_config", api_config) if app_engine_apis is not None: pulumi.set(__self__, "app_engine_apis", app_engine_apis) if automatic_scaling is not None: pulumi.set(__self__, "automatic_scaling", automatic_scaling) if basic_scaling is not None: pulumi.set(__self__, "basic_scaling", basic_scaling) if beta_settings is not None: pulumi.set(__self__, "beta_settings", beta_settings) if build_env_variables is not None: pulumi.set(__self__, "build_env_variables", build_env_variables) if default_expiration is not None: pulumi.set(__self__, "default_expiration", default_expiration) if deployment is not None: pulumi.set(__self__, "deployment", deployment) if endpoints_api_service is not None: pulumi.set(__self__, "endpoints_api_service", endpoints_api_service) if entrypoint is not None: pulumi.set(__self__, "entrypoint", entrypoint) if env is not None: pulumi.set(__self__, "env", env) if env_variables is not None: pulumi.set(__self__, "env_variables", env_variables) if error_handlers is not None: pulumi.set(__self__, "error_handlers", error_handlers) if handlers is not None: pulumi.set(__self__, "handlers", handlers) if health_check is not None: pulumi.set(__self__, "health_check", health_check) if id is not None: pulumi.set(__self__, "id", id) if inbound_services is not None: pulumi.set(__self__, "inbound_services", inbound_services) if instance_class is not None: pulumi.set(__self__, "instance_class", instance_class) if libraries is not None: pulumi.set(__self__, "libraries", libraries) if liveness_check is not None: pulumi.set(__self__, "liveness_check", liveness_check) if manual_scaling is not None: pulumi.set(__self__, "manual_scaling", manual_scaling) if network is not None: pulumi.set(__self__, "network", network) if nobuild_files_regex is not None: pulumi.set(__self__, "nobuild_files_regex", nobuild_files_regex) if readiness_check is not None: pulumi.set(__self__, "readiness_check", readiness_check) if resources is not None: pulumi.set(__self__, "resources", resources) if runtime is not None: pulumi.set(__self__, "runtime", runtime) if runtime_api_version is not None: pulumi.set(__self__, "runtime_api_version", runtime_api_version) if runtime_channel is not None: pulumi.set(__self__, "runtime_channel", runtime_channel) if runtime_main_executable_path is not None: pulumi.set(__self__, "runtime_main_executable_path", runtime_main_executable_path) if service_account is not None: pulumi.set(__self__, "service_account", service_account) if serving_status is not None: pulumi.set(__self__, "serving_status", serving_status) if threadsafe is not None: pulumi.set(__self__, "threadsafe", threadsafe) if vm is not None: pulumi.set(__self__, "vm", vm) if vpc_access_connector is not None: pulumi.set(__self__, "vpc_access_connector", vpc_access_connector) @property @pulumi.getter(name="appId") def app_id(self) -> pulumi.Input[str]: return pulumi.get(self, "app_id") @app_id.setter def app_id(self, value: pulumi.Input[str]): pulumi.set(self, "app_id", value) @property @pulumi.getter(name="serviceId") def service_id(self) -> pulumi.Input[str]: return pulumi.get(self, "service_id") @service_id.setter def service_id(self, value: pulumi.Input[str]): pulumi.set(self, "service_id", value) @property @pulumi.getter(name="apiConfig") def api_config(self) -> Optional[pulumi.Input['ApiConfigHandlerArgs']]: """ Serving configuration for Google Cloud Endpoints (https://cloud.google.com/appengine/docs/python/endpoints/).Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "api_config") @api_config.setter def api_config(self, value: Optional[pulumi.Input['ApiConfigHandlerArgs']]): pulumi.set(self, "api_config", value) @property @pulumi.getter(name="appEngineApis") def app_engine_apis(self) -> Optional[pulumi.Input[bool]]: """ app_engine_apis allows second generation runtimes to access the App Engine APIs. """ return pulumi.get(self, "app_engine_apis") @app_engine_apis.setter def app_engine_apis(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "app_engine_apis", value) @property @pulumi.getter(name="automaticScaling") def automatic_scaling(self) -> Optional[pulumi.Input['AutomaticScalingArgs']]: """ Automatic scaling is based on request rate, response latencies, and other application metrics. Instances are dynamically created and destroyed as needed in order to handle traffic. """ return pulumi.get(self, "automatic_scaling") @automatic_scaling.setter def automatic_scaling(self, value: Optional[pulumi.Input['AutomaticScalingArgs']]): pulumi.set(self, "automatic_scaling", value) @property @pulumi.getter(name="basicScaling") def basic_scaling(self) -> Optional[pulumi.Input['BasicScalingArgs']]: """ A service with basic scaling will create an instance when the application receives a request. The instance will be turned down when the app becomes idle. Basic scaling is ideal for work that is intermittent or driven by user activity. """ return pulumi.get(self, "basic_scaling") @basic_scaling.setter def basic_scaling(self, value: Optional[pulumi.Input['BasicScalingArgs']]): pulumi.set(self, "basic_scaling", value) @property @pulumi.getter(name="betaSettings") def beta_settings(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ Metadata settings that are supplied to this version to enable beta runtime features. """ return pulumi.get(self, "beta_settings") @beta_settings.setter def beta_settings(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "beta_settings", value) @property @pulumi.getter(name="buildEnvVariables") def build_env_variables(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ Environment variables available to the build environment.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "build_env_variables") @build_env_variables.setter def build_env_variables(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "build_env_variables", value) @property @pulumi.getter(name="defaultExpiration") def default_expiration(self) -> Optional[pulumi.Input[str]]: """ Duration that static files should be cached by web proxies and browsers. Only applicable if the corresponding StaticFilesHandler (https://cloud.google.com/appengine/docs/admin-api/reference/rest/v1beta/apps.services.versions#StaticFilesHandler) does not specify its own expiration time.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "default_expiration") @default_expiration.setter def default_expiration(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "default_expiration", value) @property @pulumi.getter def deployment(self) -> Optional[pulumi.Input['DeploymentArgs']]: """ Code and application artifacts that make up this version.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "deployment") @deployment.setter def deployment(self, value: Optional[pulumi.Input['DeploymentArgs']]): pulumi.set(self, "deployment", value) @property @pulumi.getter(name="endpointsApiService") def endpoints_api_service(self) -> Optional[pulumi.Input['EndpointsApiServiceArgs']]: """ Cloud Endpoints configuration.If endpoints_api_service is set, the Cloud Endpoints Extensible Service Proxy will be provided to serve the API implemented by the app. """ return pulumi.get(self, "endpoints_api_service") @endpoints_api_service.setter def endpoints_api_service(self, value: Optional[pulumi.Input['EndpointsApiServiceArgs']]): pulumi.set(self, "endpoints_api_service", value) @property @pulumi.getter def entrypoint(self) -> Optional[pulumi.Input['EntrypointArgs']]: """ The entrypoint for the application. """ return pulumi.get(self, "entrypoint") @entrypoint.setter def entrypoint(self, value: Optional[pulumi.Input['EntrypointArgs']]): pulumi.set(self, "entrypoint", value) @property @pulumi.getter def env(self) -> Optional[pulumi.Input[str]]: """ App Engine execution environment for this version.Defaults to standard. """ return pulumi.get(self, "env") @env.setter def env(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "env", value) @property @pulumi.getter(name="envVariables") def env_variables(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ Environment variables available to the application.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "env_variables") @env_variables.setter def env_variables(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "env_variables", value) @property @pulumi.getter(name="errorHandlers") def error_handlers(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['ErrorHandlerArgs']]]]: """ Custom static error pages. Limited to 10KB per page.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "error_handlers") @error_handlers.setter def error_handlers(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['ErrorHandlerArgs']]]]): pulumi.set(self, "error_handlers", value) @property @pulumi.getter def handlers(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['UrlMapArgs']]]]: """ An ordered list of URL-matching patterns that should be applied to incoming requests. The first matching URL handles the request and other request handlers are not attempted.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "handlers") @handlers.setter def handlers(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['UrlMapArgs']]]]): pulumi.set(self, "handlers", value) @property @pulumi.getter(name="healthCheck") def health_check(self) -> Optional[pulumi.Input['HealthCheckArgs']]: """ Configures health checking for instances. Unhealthy instances are stopped and replaced with new instances. Only applicable in the App Engine flexible environment.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "health_check") @health_check.setter def health_check(self, value: Optional[pulumi.Input['HealthCheckArgs']]): pulumi.set(self, "health_check", value) @property @pulumi.getter def id(self) -> Optional[pulumi.Input[str]]: """ Relative name of the version within the service. Example: v1. Version names can contain only lowercase letters, numbers, or hyphens. Reserved names: "default", "latest", and any name with the prefix "ah-". """ return pulumi.get(self, "id") @id.setter def id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "id", value) @property @pulumi.getter(name="inboundServices") def inbound_services(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['VersionInboundServicesItem']]]]: """ Before an application can receive email or XMPP messages, the application must be configured to enable the service. """ return pulumi.get(self, "inbound_services") @inbound_services.setter def inbound_services(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['VersionInboundServicesItem']]]]): pulumi.set(self, "inbound_services", value) @property @pulumi.getter(name="instanceClass") def instance_class(self) -> Optional[pulumi.Input[str]]: """ Instance class that is used to run this version. Valid values are: AutomaticScaling: F1, F2, F4, F4_1G ManualScaling or BasicScaling: B1, B2, B4, B8, B4_1GDefaults to F1 for AutomaticScaling and B1 for ManualScaling or BasicScaling. """ return pulumi.get(self, "instance_class") @instance_class.setter def instance_class(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "instance_class", value) @property @pulumi.getter def libraries(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['LibraryArgs']]]]: """ Configuration for third-party Python runtime libraries that are required by the application.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "libraries") @libraries.setter def libraries(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['LibraryArgs']]]]): pulumi.set(self, "libraries", value) @property @pulumi.getter(name="livenessCheck") def liveness_check(self) -> Optional[pulumi.Input['LivenessCheckArgs']]: """ Configures liveness health checking for instances. Unhealthy instances are stopped and replaced with new instancesOnly returned in GET requests if view=FULL is set. """ return pulumi.get(self, "liveness_check") @liveness_check.setter def liveness_check(self, value: Optional[pulumi.Input['LivenessCheckArgs']]): pulumi.set(self, "liveness_check", value) @property @pulumi.getter(name="manualScaling") def manual_scaling(self) -> Optional[pulumi.Input['ManualScalingArgs']]: """ A service with manual scaling runs continuously, allowing you to perform complex initialization and rely on the state of its memory over time. Manually scaled versions are sometimes referred to as "backends". """ return pulumi.get(self, "manual_scaling") @manual_scaling.setter def manual_scaling(self, value: Optional[pulumi.Input['ManualScalingArgs']]): pulumi.set(self, "manual_scaling", value) @property @pulumi.getter def network(self) -> Optional[pulumi.Input['NetworkArgs']]: """ Extra network settings. Only applicable in the App Engine flexible environment. """ return pulumi.get(self, "network") @network.setter def network(self, value: Optional[pulumi.Input['NetworkArgs']]): pulumi.set(self, "network", value) @property @pulumi.getter(name="nobuildFilesRegex") def nobuild_files_regex(self) -> Optional[pulumi.Input[str]]: """ Files that match this pattern will not be built into this version. Only applicable for Go runtimes.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "nobuild_files_regex") @nobuild_files_regex.setter def nobuild_files_regex(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "nobuild_files_regex", value) @property @pulumi.getter(name="readinessCheck") def readiness_check(self) -> Optional[pulumi.Input['ReadinessCheckArgs']]: """ Configures readiness health checking for instances. Unhealthy instances are not put into the backend traffic rotation.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "readiness_check") @readiness_check.setter def readiness_check(self, value: Optional[pulumi.Input['ReadinessCheckArgs']]): pulumi.set(self, "readiness_check", value) @property @pulumi.getter def resources(self) -> Optional[pulumi.Input['ResourcesArgs']]: """ Machine resources for this version. Only applicable in the App Engine flexible environment. """ return pulumi.get(self, "resources") @resources.setter def resources(self, value: Optional[pulumi.Input['ResourcesArgs']]): pulumi.set(self, "resources", value) @property @pulumi.getter def runtime(self) -> Optional[pulumi.Input[str]]: """ Desired runtime. Example: python27. """ return pulumi.get(self, "runtime") @runtime.setter def runtime(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "runtime", value) @property @pulumi.getter(name="runtimeApiVersion") def runtime_api_version(self) -> Optional[pulumi.Input[str]]: """ The version of the API in the given runtime environment. Please see the app.yaml reference for valid values at https://cloud.google.com/appengine/docs/standard//config/appref """ return pulumi.get(self, "runtime_api_version") @runtime_api_version.setter def runtime_api_version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "runtime_api_version", value) @property @pulumi.getter(name="runtimeChannel") def runtime_channel(self) -> Optional[pulumi.Input[str]]: """ The channel of the runtime to use. Only available for some runtimes. Defaults to the default channel. """ return pulumi.get(self, "runtime_channel") @runtime_channel.setter def runtime_channel(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "runtime_channel", value) @property @pulumi.getter(name="runtimeMainExecutablePath") def runtime_main_executable_path(self) -> Optional[pulumi.Input[str]]: """ The path or name of the app's main executable. """ return pulumi.get(self, "runtime_main_executable_path") @runtime_main_executable_path.setter def runtime_main_executable_path(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "runtime_main_executable_path", value) @property @pulumi.getter(name="serviceAccount") def service_account(self) -> Optional[pulumi.Input[str]]: """ The identity that the deployed version will run as. Admin API will use the App Engine Appspot service account as default if this field is neither provided in app.yaml file nor through CLI flag. """ return pulumi.get(self, "service_account") @service_account.setter def service_account(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "service_account", value) @property @pulumi.getter(name="servingStatus") def serving_status(self) -> Optional[pulumi.Input['VersionServingStatus']]: """ Current serving status of this version. Only the versions with a SERVING status create instances and can be billed.SERVING_STATUS_UNSPECIFIED is an invalid value. Defaults to SERVING. """ return pulumi.get(self, "serving_status") @serving_status.setter def serving_status(self, value: Optional[pulumi.Input['VersionServingStatus']]): pulumi.set(self, "serving_status", value) @property @pulumi.getter def threadsafe(self) -> Optional[pulumi.Input[bool]]: """ Whether multiple requests can be dispatched to this version at once. """ return pulumi.get(self, "threadsafe") @threadsafe.setter def threadsafe(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "threadsafe", value) @property @pulumi.getter def vm(self) -> Optional[pulumi.Input[bool]]: """ Whether to deploy this version in a container on a virtual machine. """ return pulumi.get(self, "vm") @vm.setter def vm(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "vm", value) @property @pulumi.getter(name="vpcAccessConnector") def vpc_access_connector(self) -> Optional[pulumi.Input['VpcAccessConnectorArgs']]: """ Enables VPC connectivity for standard apps. """ return pulumi.get(self, "vpc_access_connector") @vpc_access_connector.setter def vpc_access_connector(self, value: Optional[pulumi.Input['VpcAccessConnectorArgs']]): pulumi.set(self, "vpc_access_connector", value) class Version(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, api_config: Optional[pulumi.Input[pulumi.InputType['ApiConfigHandlerArgs']]] = None, app_engine_apis: Optional[pulumi.Input[bool]] = None, app_id: Optional[pulumi.Input[str]] = None, automatic_scaling: Optional[pulumi.Input[pulumi.InputType['AutomaticScalingArgs']]] = None, basic_scaling: Optional[pulumi.Input[pulumi.InputType['BasicScalingArgs']]] = None, beta_settings: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, build_env_variables: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, default_expiration: Optional[pulumi.Input[str]] = None, deployment: Optional[pulumi.Input[pulumi.InputType['DeploymentArgs']]] = None, endpoints_api_service: Optional[pulumi.Input[pulumi.InputType['EndpointsApiServiceArgs']]] = None, entrypoint: Optional[pulumi.Input[pulumi.InputType['EntrypointArgs']]] = None, env: Optional[pulumi.Input[str]] = None, env_variables: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, error_handlers: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ErrorHandlerArgs']]]]] = None, handlers: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UrlMapArgs']]]]] = None, health_check: Optional[pulumi.Input[pulumi.InputType['HealthCheckArgs']]] = None, id: Optional[pulumi.Input[str]] = None, inbound_services: Optional[pulumi.Input[Sequence[pulumi.Input['VersionInboundServicesItem']]]] = None, instance_class: Optional[pulumi.Input[str]] = None, libraries: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LibraryArgs']]]]] = None, liveness_check: Optional[pulumi.Input[pulumi.InputType['LivenessCheckArgs']]] = None, manual_scaling: Optional[pulumi.Input[pulumi.InputType['ManualScalingArgs']]] = None, network: Optional[pulumi.Input[pulumi.InputType['NetworkArgs']]] = None, nobuild_files_regex: Optional[pulumi.Input[str]] = None, readiness_check: Optional[pulumi.Input[pulumi.InputType['ReadinessCheckArgs']]] = None, resources: Optional[pulumi.Input[pulumi.InputType['ResourcesArgs']]] = None, runtime: Optional[pulumi.Input[str]] = None, runtime_api_version: Optional[pulumi.Input[str]] = None, runtime_channel: Optional[pulumi.Input[str]] = None, runtime_main_executable_path: Optional[pulumi.Input[str]] = None, service_account: Optional[pulumi.Input[str]] = None, service_id: Optional[pulumi.Input[str]] = None, serving_status: Optional[pulumi.Input['VersionServingStatus']] = None, threadsafe: Optional[pulumi.Input[bool]] = None, vm: Optional[pulumi.Input[bool]] = None, vpc_access_connector: Optional[pulumi.Input[pulumi.InputType['VpcAccessConnectorArgs']]] = None, __props__=None): """ Deploys code and resource files to a new version. Auto-naming is currently not supported for this resource. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[pulumi.InputType['ApiConfigHandlerArgs']] api_config: Serving configuration for Google Cloud Endpoints (https://cloud.google.com/appengine/docs/python/endpoints/).Only returned in GET requests if view=FULL is set. :param pulumi.Input[bool] app_engine_apis: app_engine_apis allows second generation runtimes to access the App Engine APIs. :param pulumi.Input[pulumi.InputType['AutomaticScalingArgs']] automatic_scaling: Automatic scaling is based on request rate, response latencies, and other application metrics. Instances are dynamically created and destroyed as needed in order to handle traffic. :param pulumi.Input[pulumi.InputType['BasicScalingArgs']] basic_scaling: A service with basic scaling will create an instance when the application receives a request. The instance will be turned down when the app becomes idle. Basic scaling is ideal for work that is intermittent or driven by user activity. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] beta_settings: Metadata settings that are supplied to this version to enable beta runtime features. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] build_env_variables: Environment variables available to the build environment.Only returned in GET requests if view=FULL is set. :param pulumi.Input[str] default_expiration: Duration that static files should be cached by web proxies and browsers. Only applicable if the corresponding StaticFilesHandler (https://cloud.google.com/appengine/docs/admin-api/reference/rest/v1beta/apps.services.versions#StaticFilesHandler) does not specify its own expiration time.Only returned in GET requests if view=FULL is set. :param pulumi.Input[pulumi.InputType['DeploymentArgs']] deployment: Code and application artifacts that make up this version.Only returned in GET requests if view=FULL is set. :param pulumi.Input[pulumi.InputType['EndpointsApiServiceArgs']] endpoints_api_service: Cloud Endpoints configuration.If endpoints_api_service is set, the Cloud Endpoints Extensible Service Proxy will be provided to serve the API implemented by the app. :param pulumi.Input[pulumi.InputType['EntrypointArgs']] entrypoint: The entrypoint for the application. :param pulumi.Input[str] env: App Engine execution environment for this version.Defaults to standard. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] env_variables: Environment variables available to the application.Only returned in GET requests if view=FULL is set. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ErrorHandlerArgs']]]] error_handlers: Custom static error pages. Limited to 10KB per page.Only returned in GET requests if view=FULL is set. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UrlMapArgs']]]] handlers: An ordered list of URL-matching patterns that should be applied to incoming requests. The first matching URL handles the request and other request handlers are not attempted.Only returned in GET requests if view=FULL is set. :param pulumi.Input[pulumi.InputType['HealthCheckArgs']] health_check: Configures health checking for instances. Unhealthy instances are stopped and replaced with new instances. Only applicable in the App Engine flexible environment.Only returned in GET requests if view=FULL is set. :param pulumi.Input[str] id: Relative name of the version within the service. Example: v1. Version names can contain only lowercase letters, numbers, or hyphens. Reserved names: "default", "latest", and any name with the prefix "ah-". :param pulumi.Input[Sequence[pulumi.Input['VersionInboundServicesItem']]] inbound_services: Before an application can receive email or XMPP messages, the application must be configured to enable the service. :param pulumi.Input[str] instance_class: Instance class that is used to run this version. Valid values are: AutomaticScaling: F1, F2, F4, F4_1G ManualScaling or BasicScaling: B1, B2, B4, B8, B4_1GDefaults to F1 for AutomaticScaling and B1 for ManualScaling or BasicScaling. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LibraryArgs']]]] libraries: Configuration for third-party Python runtime libraries that are required by the application.Only returned in GET requests if view=FULL is set. :param pulumi.Input[pulumi.InputType['LivenessCheckArgs']] liveness_check: Configures liveness health checking for instances. Unhealthy instances are stopped and replaced with new instancesOnly returned in GET requests if view=FULL is set. :param pulumi.Input[pulumi.InputType['ManualScalingArgs']] manual_scaling: A service with manual scaling runs continuously, allowing you to perform complex initialization and rely on the state of its memory over time. Manually scaled versions are sometimes referred to as "backends". :param pulumi.Input[pulumi.InputType['NetworkArgs']] network: Extra network settings. Only applicable in the App Engine flexible environment. :param pulumi.Input[str] nobuild_files_regex: Files that match this pattern will not be built into this version. Only applicable for Go runtimes.Only returned in GET requests if view=FULL is set. :param pulumi.Input[pulumi.InputType['ReadinessCheckArgs']] readiness_check: Configures readiness health checking for instances. Unhealthy instances are not put into the backend traffic rotation.Only returned in GET requests if view=FULL is set. :param pulumi.Input[pulumi.InputType['ResourcesArgs']] resources: Machine resources for this version. Only applicable in the App Engine flexible environment. :param pulumi.Input[str] runtime: Desired runtime. Example: python27. :param pulumi.Input[str] runtime_api_version: The version of the API in the given runtime environment. Please see the app.yaml reference for valid values at https://cloud.google.com/appengine/docs/standard//config/appref :param pulumi.Input[str] runtime_channel: The channel of the runtime to use. Only available for some runtimes. Defaults to the default channel. :param pulumi.Input[str] runtime_main_executable_path: The path or name of the app's main executable. :param pulumi.Input[str] service_account: The identity that the deployed version will run as. Admin API will use the App Engine Appspot service account as default if this field is neither provided in app.yaml file nor through CLI flag. :param pulumi.Input['VersionServingStatus'] serving_status: Current serving status of this version. Only the versions with a SERVING status create instances and can be billed.SERVING_STATUS_UNSPECIFIED is an invalid value. Defaults to SERVING. :param pulumi.Input[bool] threadsafe: Whether multiple requests can be dispatched to this version at once. :param pulumi.Input[bool] vm: Whether to deploy this version in a container on a virtual machine. :param pulumi.Input[pulumi.InputType['VpcAccessConnectorArgs']] vpc_access_connector: Enables VPC connectivity for standard apps. """ ... @overload def __init__(__self__, resource_name: str, args: VersionArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Deploys code and resource files to a new version. Auto-naming is currently not supported for this resource. :param str resource_name: The name of the resource. :param VersionArgs 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(VersionArgs, 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, api_config: Optional[pulumi.Input[pulumi.InputType['ApiConfigHandlerArgs']]] = None, app_engine_apis: Optional[pulumi.Input[bool]] = None, app_id: Optional[pulumi.Input[str]] = None, automatic_scaling: Optional[pulumi.Input[pulumi.InputType['AutomaticScalingArgs']]] = None, basic_scaling: Optional[pulumi.Input[pulumi.InputType['BasicScalingArgs']]] = None, beta_settings: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, build_env_variables: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, default_expiration: Optional[pulumi.Input[str]] = None, deployment: Optional[pulumi.Input[pulumi.InputType['DeploymentArgs']]] = None, endpoints_api_service: Optional[pulumi.Input[pulumi.InputType['EndpointsApiServiceArgs']]] = None, entrypoint: Optional[pulumi.Input[pulumi.InputType['EntrypointArgs']]] = None, env: Optional[pulumi.Input[str]] = None, env_variables: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, error_handlers: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['ErrorHandlerArgs']]]]] = None, handlers: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UrlMapArgs']]]]] = None, health_check: Optional[pulumi.Input[pulumi.InputType['HealthCheckArgs']]] = None, id: Optional[pulumi.Input[str]] = None, inbound_services: Optional[pulumi.Input[Sequence[pulumi.Input['VersionInboundServicesItem']]]] = None, instance_class: Optional[pulumi.Input[str]] = None, libraries: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['LibraryArgs']]]]] = None, liveness_check: Optional[pulumi.Input[pulumi.InputType['LivenessCheckArgs']]] = None, manual_scaling: Optional[pulumi.Input[pulumi.InputType['ManualScalingArgs']]] = None, network: Optional[pulumi.Input[pulumi.InputType['NetworkArgs']]] = None, nobuild_files_regex: Optional[pulumi.Input[str]] = None, readiness_check: Optional[pulumi.Input[pulumi.InputType['ReadinessCheckArgs']]] = None, resources: Optional[pulumi.Input[pulumi.InputType['ResourcesArgs']]] = None, runtime: Optional[pulumi.Input[str]] = None, runtime_api_version: Optional[pulumi.Input[str]] = None, runtime_channel: Optional[pulumi.Input[str]] = None, runtime_main_executable_path: Optional[pulumi.Input[str]] = None, service_account: Optional[pulumi.Input[str]] = None, service_id: Optional[pulumi.Input[str]] = None, serving_status: Optional[pulumi.Input['VersionServingStatus']] = None, threadsafe: Optional[pulumi.Input[bool]] = None, vm: Optional[pulumi.Input[bool]] = None, vpc_access_connector: Optional[pulumi.Input[pulumi.InputType['VpcAccessConnectorArgs']]] = 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__ = VersionArgs.__new__(VersionArgs) __props__.__dict__["api_config"] = api_config __props__.__dict__["app_engine_apis"] = app_engine_apis if app_id is None and not opts.urn: raise TypeError("Missing required property 'app_id'") __props__.__dict__["app_id"] = app_id __props__.__dict__["automatic_scaling"] = automatic_scaling __props__.__dict__["basic_scaling"] = basic_scaling __props__.__dict__["beta_settings"] = beta_settings __props__.__dict__["build_env_variables"] = build_env_variables __props__.__dict__["default_expiration"] = default_expiration __props__.__dict__["deployment"] = deployment __props__.__dict__["endpoints_api_service"] = endpoints_api_service __props__.__dict__["entrypoint"] = entrypoint __props__.__dict__["env"] = env __props__.__dict__["env_variables"] = env_variables __props__.__dict__["error_handlers"] = error_handlers __props__.__dict__["handlers"] = handlers __props__.__dict__["health_check"] = health_check __props__.__dict__["id"] = id __props__.__dict__["inbound_services"] = inbound_services __props__.__dict__["instance_class"] = instance_class __props__.__dict__["libraries"] = libraries __props__.__dict__["liveness_check"] = liveness_check __props__.__dict__["manual_scaling"] = manual_scaling __props__.__dict__["network"] = network __props__.__dict__["nobuild_files_regex"] = nobuild_files_regex __props__.__dict__["readiness_check"] = readiness_check __props__.__dict__["resources"] = resources __props__.__dict__["runtime"] = runtime __props__.__dict__["runtime_api_version"] = runtime_api_version __props__.__dict__["runtime_channel"] = runtime_channel __props__.__dict__["runtime_main_executable_path"] = runtime_main_executable_path __props__.__dict__["service_account"] = service_account if service_id is None and not opts.urn: raise TypeError("Missing required property 'service_id'") __props__.__dict__["service_id"] = service_id __props__.__dict__["serving_status"] = serving_status __props__.__dict__["threadsafe"] = threadsafe __props__.__dict__["vm"] = vm __props__.__dict__["vpc_access_connector"] = vpc_access_connector __props__.__dict__["create_time"] = None __props__.__dict__["created_by"] = None __props__.__dict__["disk_usage_bytes"] = None __props__.__dict__["name"] = None __props__.__dict__["version_url"] = None super(Version, __self__).__init__( 'google-native:appengine/v1beta:Version', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None) -> 'Version': """ Get an existing Version 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. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = VersionArgs.__new__(VersionArgs) __props__.__dict__["api_config"] = None __props__.__dict__["app_engine_apis"] = None __props__.__dict__["automatic_scaling"] = None __props__.__dict__["basic_scaling"] = None __props__.__dict__["beta_settings"] = None __props__.__dict__["build_env_variables"] = None __props__.__dict__["create_time"] = None __props__.__dict__["created_by"] = None __props__.__dict__["default_expiration"] = None __props__.__dict__["deployment"] = None __props__.__dict__["disk_usage_bytes"] = None __props__.__dict__["endpoints_api_service"] = None __props__.__dict__["entrypoint"] = None __props__.__dict__["env"] = None __props__.__dict__["env_variables"] = None __props__.__dict__["error_handlers"] = None __props__.__dict__["handlers"] = None __props__.__dict__["health_check"] = None __props__.__dict__["inbound_services"] = None __props__.__dict__["instance_class"] = None __props__.__dict__["libraries"] = None __props__.__dict__["liveness_check"] = None __props__.__dict__["manual_scaling"] = None __props__.__dict__["name"] = None __props__.__dict__["network"] = None __props__.__dict__["nobuild_files_regex"] = None __props__.__dict__["readiness_check"] = None __props__.__dict__["resources"] = None __props__.__dict__["runtime"] = None __props__.__dict__["runtime_api_version"] = None __props__.__dict__["runtime_channel"] = None __props__.__dict__["runtime_main_executable_path"] = None __props__.__dict__["service_account"] = None __props__.__dict__["serving_status"] = None __props__.__dict__["threadsafe"] = None __props__.__dict__["version_url"] = None __props__.__dict__["vm"] = None __props__.__dict__["vpc_access_connector"] = None return Version(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="apiConfig") def api_config(self) -> pulumi.Output['outputs.ApiConfigHandlerResponse']: """ Serving configuration for Google Cloud Endpoints (https://cloud.google.com/appengine/docs/python/endpoints/).Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "api_config") @property @pulumi.getter(name="appEngineApis") def app_engine_apis(self) -> pulumi.Output[bool]: """ app_engine_apis allows second generation runtimes to access the App Engine APIs. """ return pulumi.get(self, "app_engine_apis") @property @pulumi.getter(name="automaticScaling") def automatic_scaling(self) -> pulumi.Output['outputs.AutomaticScalingResponse']: """ Automatic scaling is based on request rate, response latencies, and other application metrics. Instances are dynamically created and destroyed as needed in order to handle traffic. """ return pulumi.get(self, "automatic_scaling") @property @pulumi.getter(name="basicScaling") def basic_scaling(self) -> pulumi.Output['outputs.BasicScalingResponse']: """ A service with basic scaling will create an instance when the application receives a request. The instance will be turned down when the app becomes idle. Basic scaling is ideal for work that is intermittent or driven by user activity. """ return pulumi.get(self, "basic_scaling") @property @pulumi.getter(name="betaSettings") def beta_settings(self) -> pulumi.Output[Mapping[str, str]]: """ Metadata settings that are supplied to this version to enable beta runtime features. """ return pulumi.get(self, "beta_settings") @property @pulumi.getter(name="buildEnvVariables") def build_env_variables(self) -> pulumi.Output[Mapping[str, str]]: """ Environment variables available to the build environment.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "build_env_variables") @property @pulumi.getter(name="createTime") def create_time(self) -> pulumi.Output[str]: """ Time that this version was created. """ return pulumi.get(self, "create_time") @property @pulumi.getter(name="createdBy") def created_by(self) -> pulumi.Output[str]: """ Email address of the user who created this version. """ return pulumi.get(self, "created_by") @property @pulumi.getter(name="defaultExpiration") def default_expiration(self) -> pulumi.Output[str]: """ Duration that static files should be cached by web proxies and browsers. Only applicable if the corresponding StaticFilesHandler (https://cloud.google.com/appengine/docs/admin-api/reference/rest/v1beta/apps.services.versions#StaticFilesHandler) does not specify its own expiration time.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "default_expiration") @property @pulumi.getter def deployment(self) -> pulumi.Output['outputs.DeploymentResponse']: """ Code and application artifacts that make up this version.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "deployment") @property @pulumi.getter(name="diskUsageBytes") def disk_usage_bytes(self) -> pulumi.Output[str]: """ Total size in bytes of all the files that are included in this version and currently hosted on the App Engine disk. """ return pulumi.get(self, "disk_usage_bytes") @property @pulumi.getter(name="endpointsApiService") def endpoints_api_service(self) -> pulumi.Output['outputs.EndpointsApiServiceResponse']: """ Cloud Endpoints configuration.If endpoints_api_service is set, the Cloud Endpoints Extensible Service Proxy will be provided to serve the API implemented by the app. """ return pulumi.get(self, "endpoints_api_service") @property @pulumi.getter def entrypoint(self) -> pulumi.Output['outputs.EntrypointResponse']: """ The entrypoint for the application. """ return pulumi.get(self, "entrypoint") @property @pulumi.getter def env(self) -> pulumi.Output[str]: """ App Engine execution environment for this version.Defaults to standard. """ return pulumi.get(self, "env") @property @pulumi.getter(name="envVariables") def env_variables(self) -> pulumi.Output[Mapping[str, str]]: """ Environment variables available to the application.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "env_variables") @property @pulumi.getter(name="errorHandlers") def error_handlers(self) -> pulumi.Output[Sequence['outputs.ErrorHandlerResponse']]: """ Custom static error pages. Limited to 10KB per page.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "error_handlers") @property @pulumi.getter def handlers(self) -> pulumi.Output[Sequence['outputs.UrlMapResponse']]: """ An ordered list of URL-matching patterns that should be applied to incoming requests. The first matching URL handles the request and other request handlers are not attempted.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "handlers") @property @pulumi.getter(name="healthCheck") def health_check(self) -> pulumi.Output['outputs.HealthCheckResponse']: """ Configures health checking for instances. Unhealthy instances are stopped and replaced with new instances. Only applicable in the App Engine flexible environment.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "health_check") @property @pulumi.getter(name="inboundServices") def inbound_services(self) -> pulumi.Output[Sequence[str]]: """ Before an application can receive email or XMPP messages, the application must be configured to enable the service. """ return pulumi.get(self, "inbound_services") @property @pulumi.getter(name="instanceClass") def instance_class(self) -> pulumi.Output[str]: """ Instance class that is used to run this version. Valid values are: AutomaticScaling: F1, F2, F4, F4_1G ManualScaling or BasicScaling: B1, B2, B4, B8, B4_1GDefaults to F1 for AutomaticScaling and B1 for ManualScaling or BasicScaling. """ return pulumi.get(self, "instance_class") @property @pulumi.getter def libraries(self) -> pulumi.Output[Sequence['outputs.LibraryResponse']]: """ Configuration for third-party Python runtime libraries that are required by the application.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "libraries") @property @pulumi.getter(name="livenessCheck") def liveness_check(self) -> pulumi.Output['outputs.LivenessCheckResponse']: """ Configures liveness health checking for instances. Unhealthy instances are stopped and replaced with new instancesOnly returned in GET requests if view=FULL is set. """ return pulumi.get(self, "liveness_check") @property @pulumi.getter(name="manualScaling") def manual_scaling(self) -> pulumi.Output['outputs.ManualScalingResponse']: """ A service with manual scaling runs continuously, allowing you to perform complex initialization and rely on the state of its memory over time. Manually scaled versions are sometimes referred to as "backends". """ return pulumi.get(self, "manual_scaling") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ Full path to the Version resource in the API. Example: apps/myapp/services/default/versions/v1. """ return pulumi.get(self, "name") @property @pulumi.getter def network(self) -> pulumi.Output['outputs.NetworkResponse']: """ Extra network settings. Only applicable in the App Engine flexible environment. """ return pulumi.get(self, "network") @property @pulumi.getter(name="nobuildFilesRegex") def nobuild_files_regex(self) -> pulumi.Output[str]: """ Files that match this pattern will not be built into this version. Only applicable for Go runtimes.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "nobuild_files_regex") @property @pulumi.getter(name="readinessCheck") def readiness_check(self) -> pulumi.Output['outputs.ReadinessCheckResponse']: """ Configures readiness health checking for instances. Unhealthy instances are not put into the backend traffic rotation.Only returned in GET requests if view=FULL is set. """ return pulumi.get(self, "readiness_check") @property @pulumi.getter def resources(self) -> pulumi.Output['outputs.ResourcesResponse']: """ Machine resources for this version. Only applicable in the App Engine flexible environment. """ return pulumi.get(self, "resources") @property @pulumi.getter def runtime(self) -> pulumi.Output[str]: """ Desired runtime. Example: python27. """ return pulumi.get(self, "runtime") @property @pulumi.getter(name="runtimeApiVersion") def runtime_api_version(self) -> pulumi.Output[str]: """ The version of the API in the given runtime environment. Please see the app.yaml reference for valid values at https://cloud.google.com/appengine/docs/standard//config/appref """ return pulumi.get(self, "runtime_api_version") @property @pulumi.getter(name="runtimeChannel") def runtime_channel(self) -> pulumi.Output[str]: """ The channel of the runtime to use. Only available for some runtimes. Defaults to the default channel. """ return pulumi.get(self, "runtime_channel") @property @pulumi.getter(name="runtimeMainExecutablePath") def runtime_main_executable_path(self) -> pulumi.Output[str]: """ The path or name of the app's main executable. """ return pulumi.get(self, "runtime_main_executable_path") @property @pulumi.getter(name="serviceAccount") def service_account(self) -> pulumi.Output[str]: """ The identity that the deployed version will run as. Admin API will use the App Engine Appspot service account as default if this field is neither provided in app.yaml file nor through CLI flag. """ return pulumi.get(self, "service_account") @property @pulumi.getter(name="servingStatus") def serving_status(self) -> pulumi.Output[str]: """ Current serving status of this version. Only the versions with a SERVING status create instances and can be billed.SERVING_STATUS_UNSPECIFIED is an invalid value. Defaults to SERVING. """ return pulumi.get(self, "serving_status") @property @pulumi.getter def threadsafe(self) -> pulumi.Output[bool]: """ Whether multiple requests can be dispatched to this version at once. """ return pulumi.get(self, "threadsafe") @property @pulumi.getter(name="versionUrl") def version_url(self) -> pulumi.Output[str]: """ Serving URL for this version. Example: "https://myversion-dot-myservice-dot-myapp.appspot.com" """ return pulumi.get(self, "version_url") @property @pulumi.getter def vm(self) -> pulumi.Output[bool]: """ Whether to deploy this version in a container on a virtual machine. """ return pulumi.get(self, "vm") @property @pulumi.getter(name="vpcAccessConnector") def vpc_access_connector(self) -> pulumi.Output['outputs.VpcAccessConnectorResponse']: """ Enables VPC connectivity for standard apps. """ return pulumi.get(self, "vpc_access_connector")

56.157303

389

0.688983

7,714

64,974

5.602411

0.057817

0.076359

0.076498

0.032533

0.857464

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0.747923

0.717773

0.703543

0.640628

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64,974

1,156

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null

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1

0

null

0

7

3d507789fdd3b1ff9e650418cfd9951cb504bf94

9,439

py

Python

scripts/python/turtleRelated/hexpath.py

jeremiahmarks/dangerzone

fe2946b8463ed018d2136ca0eb178161ad370565

[ "MIT" ]

1

2015-08-15T05:25:35.000Z

scripts/python/turtleRelated/hexpath.py

jeremiahmarks/dangerzone

fe2946b8463ed018d2136ca0eb178161ad370565

[ "MIT" ]

null

scripts/python/turtleRelated/hexpath.py

jeremiahmarks/dangerzone

fe2946b8463ed018d2136ca0eb178161ad370565

[ "MIT" ]

null

def hex_spirala(data): setranges=lambda x,y: (x+1, x+1+(y*6)-1) circleranges={} circleranges[0]=[1,1] a, b = max(data), min(data) circlea=None circleb=None while(a>circleranges[len(circleranges)-1][1]): for x in range(len(circleranges), len(circleranges)+10): circleranges[x]=setranges(circleranges[x-1][1], x) for x in range(len(circleranges)): if not circlea: if circleranges[x][0]<=a<=circleranges[x][1]: circlea=x if not circleb: if circleranges[x][0]<=b<=circleranges[x][1]: circleb=x circleaMax=circleranges[circlea][1] circlebMax=circleranges[circleb][1] distanceaisfrommax=circleaMax-a distancebisfrommax=circlebMax-b stepsize=circlea bstepsize=circleb if circlea: if distanceaisfrommax/stepsize==0: aX=-stepsize elif distanceaisfrommax/stepsize==3: aX=stepsize elif distanceaisfrommax/stepsize==1: aX=-stepsize+(distanceaisfrommax%stepsize) elif distanceaisfrommax/stepsize==2: aX=distanceaisfrommax%stepsize elif distanceaisfrommax/stepsize==4: aX=stepsize-(distanceaisfrommax%stepsize) elif distanceaisfrommax/stepsize==5: aX=-(distanceaisfrommax%stepsize) else: aX=0 if circleb: if distancebisfrommax/bstepsize==0: bX=-bstepsize elif distancebisfrommax/bstepsize==3: bX=bstepsize elif distancebisfrommax/bstepsize==1: bX=-bstepsize+(distancebisfrommax%bstepsize) elif distancebisfrommax/bstepsize==2: bX=distancebisfrommax%bstepsize elif distancebisfrommax/bstepsize==4: bX=bstepsize-(distancebisfrommax%bstepsize) elif distancebisfrommax/bstepsize==5: bX=-(distancebisfrommax%bstepsize) else: bX=0 amaxycoord=circlea bmaxycoord=circleb if circlea: if distanceaisfrommax/stepsize==0: aY=amaxycoord-2*distanceaisfrommax elif distanceaisfrommax/stepsize==1: aY=-amaxycoord-(distanceaisfrommax%stepsize) elif distanceaisfrommax/stepsize==2: if amaxycoord==1: aY=-(2*(amaxycoord))+(distanceaisfrommax%stepsize) else: aY=-(2*(amaxycoord-1))+(distanceaisfrommax%stepsize) elif distanceaisfrommax/stepsize==3: aY=-amaxycoord+(distanceaisfrommax%stepsize) elif distanceaisfrommax/stepsize==4: aY=amaxycoord+(distanceaisfrommax%stepsize) elif distanceaisfrommax/stepsize==5: if amaxycoord==1: aY=(2*(amaxycoord))-(distanceaisfrommax%stepsize) else: aY=(2*(amaxycoord-1))-(distanceaisfrommax%stepsize) else: aY=0 if circleb: if distancebisfrommax/bstepsize==0: bY=bmaxycoord-2*distancebisfrommax elif distancebisfrommax/bstepsize==1: bY=-bmaxycoord-(distancebisfrommax%bstepsize) elif distancebisfrommax/bstepsize==2: if bmaxycoord==1: bY=-(2*bmaxycoord)+(distancebisfrommax%bstepsize) else: bY=-(2*(bmaxycoord-1))+(distancebisfrommax%bstepsize) elif distancebisfrommax/bstepsize==3: bY=-bmaxycoord+(distancebisfrommax%bstepsize) elif distancebisfrommax/bstepsize==4: bY=bmaxycoord+(distancebisfrommax%bstepsize) elif distancebisfrommax/bstepsize==5: if bmaxycoord==1: bY=(2*bmaxycoord)-(distancebisfrommax%bstepsize) else: bY=(2*(bmaxycoord-1))-(distancebisfrommax%bstepsize) else: bY=0 xdiff=(aX-bX) ydiff=(aY-bY) if xdiff>ydiff: dis=xdiff if ydiff>xdiff: dis=xdiff+(ydiff-xdiff)/2 print aX, aY, bX,bY,circlea,circleb def hex_spiral(data): """ The map of the circuit consists of a collection of hexagonal elements. The first element in the center is marked as 1 and in a continuing clockwise spiral, the rest of the elements are marked in ascending order ad infinitum. On the map, you can move (connect) through the adjoining edges of the hexagonal elements. For example: the distance between elements 6 and 19 is two moves and the distance between 2 and 9 is one move. You must help Nikola find the distance between any two elements on the map. """ """ This copy of the code is only for history's sake. I am currently rewritting it and am leaving this copy so I can come back if needed """ setranges=lambda x,y: (x+1, x+1+(y*6)-1) circleranges={} circleranges[0]=[1,1] a, b = max(data), min(data) circlea=None circleb=None #find the circle a is in while(a>circleranges[len(circleranges)-1][1]): for x in range(len(circleranges), len(circleranges)+10): circleranges[x]=setranges(circleranges[x-1][1], x) # this ugle statement should appropriatly lengthen the dictionary so that # it can find the appropriate circle that a is in for x in range(len(circleranges)): if not circlea: if circleranges[x][0]<=a<=circleranges[x][1]: circlea=x if not circleb: if circleranges[x][0]<=b<=circleranges[x][1]: circleb=x circleaMax=circleranges[circlea][1] circlebMax=circleranges[circleb][1] distanceaisfrommax=circleaMax-a distancebisfrommax=circlebMax-b stepsize=circlea bstepsize=circleb if circlea: #When the number 1 is used it is in the zeroth circle #this caused several issues and this seemed like a decent #resolution to that particular issue #also, this bunch of code finds the X coordinate for the #larger of the two circles. if distanceaisfrommax/stepsize==0: aX=-stepsize elif distanceaisfrommax/stepsize==3: aX=stepsize elif distanceaisfrommax/stepsize==1: aX=-stepsize+(distanceaisfrommax%stepsize) elif distanceaisfrommax/stepsize==2: aX=distanceaisfrommax%stepsize elif distanceaisfrommax/stepsize==4: aX=stepsize-(distanceaisfrommax%stepsize) elif distanceaisfrommax/stepsize==5: aX=-(distanceaisfrommax%stepsize) else: aX=0 if circleb: #this particular section finds the x coordinate of the #smaller of the two numbers if distancebisfrommax/bstepsize==0: bX=-bstepsize elif distancebisfrommax/bstepsize==3: bX=bstepsize elif distancebisfrommax/bstepsize==1: bX=-bstepsize+(distancebisfrommax%bstepsize) elif distancebisfrommax/bstepsize==2: bX=distancebisfrommax%bstepsize elif distancebisfrommax/bstepsize==4: bX=bstepsize-(distancebisfrommax%bstepsize) elif distancebisfrommax/bstepsize==5: bX=-(distancebisfrommax%bstepsize) else: bX=0 #Now that we have the X coordinates, it is time to find the Y coords #Starting with the larger of the two numbers: amaxycoord=circlea bmaxycoord=circleb if circlea: if distanceaisfrommax/stepsize==0: aY=amaxycoord-2*distanceaisfrommax elif distanceaisfrommax/stepsize==1: aY=-amaxycoord-(distanceaisfrommax%stepsize) elif distanceaisfrommax/stepsize==2: if amaxycoord==1: aY=-(2*(amaxycoord))+(distanceaisfrommax%stepsize) else: aY=-(2*(amaxycoord-1))+(distanceaisfrommax%stepsize) elif distanceaisfrommax/stepsize==3: aY=-amaxycoord+(distanceaisfrommax%stepsize) elif distanceaisfrommax/stepsize==4: aY=amaxycoord+(distanceaisfrommax%stepsize) elif distanceaisfrommax/stepsize==5: if amaxycoord==1: aY=(2*(amaxycoord))-(distanceaisfrommax%stepsize) else: aY=(2*(amaxycoord-1))-(distanceaisfrommax%stepsize) else: aY=0 if circleb: if distancebisfrommax/bstepsize==0: bY=bmaxycoord-2*distancebisfrommax elif distancebisfrommax/bstepsize==1: bY=-bmaxycoord-(distancebisfrommax%bstepsize) elif distancebisfrommax/bstepsize==2: if bmaxycoord==1: bY=-(2*bmaxycoord)+(distancebisfrommax%bstepsize) else: bY=-(2*(bmaxycoord-1))+(distancebisfrommax%bstepsize) elif distancebisfrommax/bstepsize==3: bY=-bmaxycoord+(distancebisfrommax%bstepsize) elif distancebisfrommax/bstepsize==4: bY=bmaxycoord+(distancebisfrommax%bstepsize) elif distancebisfrommax/bstepsize==5: if bmaxycoord==1: bY=(2*bmaxycoord)-(distancebisfrommax%bstepsize) else: bY=(2*(bmaxycoord-1))-(distancebisfrommax%bstepsize) else: bY=0 xdiff=(aX-bX) ydiff=(aY-bY) if xdiff>ydiff: dis=xdiff if ydiff>xdiff: dis=xdiff+(ydiff-xdiff)/2 print aX, aY, bX,bY,circlea,circleb

34.830258

85

0.616061

981

9,439

5.925586

0.153925

0.205746

0.103217

0.117667

0.834681

0.828832

0

0.020688

0.288166

9,439

270

86

34.959259

0.844471

0.059222

0

0.990196

0

null

0

null

0.009804

0

null

1

0

1

0

1

0

null

0

1

0

9

3d523517f113a432e644cae6ff79b964b4a203a1

6,345

py

Python

primaseru/base_layouts.py

Lukmanhakim112/ppdb

c6179478b4c1f0b6cec77a8a059a6e418f6263f1

[ "MIT" ]

null

primaseru/base_layouts.py

Lukmanhakim112/ppdb

c6179478b4c1f0b6cec77a8a059a6e418f6263f1

[ "MIT" ]

null

primaseru/base_layouts.py

Lukmanhakim112/ppdb

c6179478b4c1f0b6cec77a8a059a6e418f6263f1

[ "MIT" ]

null

from crispy_forms.layout import Layout, Fieldset, Row, Div, HTML, Field from crispy_forms.bootstrap import TabHolder, Tab, Accordion, AccordionGroup STUDENT_BASE_LAYOUT = Layout( Fieldset(None, Accordion( AccordionGroup("Data Diri", Row( Div(Field("sex", css_class='custom-select custom-select-sm'), css_class="col-sm-6"), Div(Field('religion', css_class='custom-select custom-select-sm'), css_class="col-sm-6"), ), Row( Div(Field("handpone", css_class='form-control-sm'), css_class="col-sm-6"), Div(Field("social_media", css_class='form-control-sm'), css_class="col-sm-6"), ), Row( Div(Field("city_born", css_class='form-control-sm'), css_class="col-sm-6"), Div(Field('date_born', css_class='form-control-sm'), css_class="col-sm-6"), ), Row( Div(Field('school_origin', css_class='form-control-sm'), css_class="col-sm-6"), Div(Field("npsn_school_origin", css_class='form-control-sm'), css_class="col-sm-6"), ), Row( Div(Field('nisn', css_class='form-control-sm'), css_class="col-sm-6"), Div(Field("no_regis", css_class='form-control-sm'), css_class="col-sm-6"), ), Row( Div(Field("nik", css_class='form-control-sm'), css_class="col-sm-6"), Div(Field('no_kk', css_class='form-control-sm'), css_class="col-sm-6"), ), Row( Div(Field('achievement', css_class='form-control-sm'), css_class="col-sm-12"), ), ), AccordionGroup("Alamat", Row( Div(Field("resident", css_class='form-control-sm'), css_class="col-sm-6"), Div(Field('transport', css_class='form-control-sm'), css_class="col-sm-6"), ), Row( Div(Field('city', css_class='form-control-sm'), css_class="col-sm-6"), Div(Field("kecamatan", css_class='form-control-sm'), css_class="col-sm-6"), ), Row( Div(Field("dusun", css_class='form-control-sm'), css_class="col-sm-4"), Div(Field('kelurahan', css_class='form-control-sm'), css_class="col-sm-4"), Div(Field("rt_rw", css_class='form-control-sm'), css_class="col-sm-4"), ), Row( Div(Field("address_kk", css_class='form-control-sm'), css_class="col-sm-6"), Div(Field('real_address', css_class='form-control-sm'), css_class="col-sm-6"), ), ), AccordionGroup("Catatan Kesehatan", Row( Div(Field("blood_type", css_class='custom-select custom-select-sm'), css_class="col-sm-6"), Div(Field('in_medicine', css_class='form-control-sm'), css_class="col-sm-6"), ), Row( Div(Field("private_doctor", css_class='form-control-sm'), css_class="col-sm-6"), Div(Field('phone_doctor', css_class='form-control-sm'), css_class="col-sm-6"), ), Row( Div(Field('medic_record', css_class='form-control-sm auto-size'), css_class="col-sm-12"), ), ) ), ), ) PARENT_BASE_LAYOUT = Layout( Fieldset(None, Row( Div(Field('full_name', css_class='form-control-sm'), css_class="col-sm-12"), ), Row( Div(Field('city_born', css_class='form-control-sm'), css_class="col-sm-6"), Div(Field('date_born', css_class='form-control-sm'), css_class="col-sm-6"), ), Row( Div(Field('nik', css_class='form-control-sm'), css_class="col-sm-6"), Div(Field('education', css_class='custom-select custom-select-sm'), css_class="col-sm-6"), ), Row( Div(Field('job', css_class='form-control-sm'), css_class="col-sm-6"), Div(Field('salary', css_class='form-control-sm'), css_class="col-sm-6"), ), Row( Div(Field('email', css_class='form-control-sm'), css_class="col-sm-6"), Div(Field('phone', css_class='form-control-sm'), css_class="col-sm-6"), ), ) ) MAJOR_BASE_LAYOUT = Layout( Fieldset(None, Field('first_major', css_class="custom-select custom-select-sm"), Field('second_major', css_class="custom-select custom-select-sm"), Field('info', css_class="form-control-sm"), ) ) FILE_BASE_LAYOUT = Layout( Fieldset(None, Row( Div('ra_sem_1', css_class="col-sm-12"), ), Row( Div('ra_sem_2', css_class="col-sm-12"), ), Row( Div('ra_sem_3', css_class="col-sm-12"), ), Row( Div('ra_sem_4', css_class="col-sm-12"), ), Row( Div('ra_sem_5', css_class="col-sm-12"), ), Row( Div('color_blind_cert', css_class="col-sm-12"), ), Row( Div('healty_cert', css_class="col-sm-12"), ), ) )

48.435115

119

0.431836

665

6,345

3.930827

0.13985

0.250956

0.180949

0.213849

0.804514

0.761285

0.752487

0.710406

0.636955

0

0.015787

0.420961

6,345

130

120

48.807692

0.6957

0

0.5

0

0.23089

0

1

0

false

0

0.016129

0

0.016129

0

null

1

0

null

0

9

18096f111414539b782e225eb0603ef87d153401

22,829

py

Python

unit_tests/test_ceph_radosgw_context.py

dardelean/charm-ceph-radosgw

cdc59e2a39db985aef53f8f9d7a14f761aaa96f6

[ "ECL-2.0", "Apache-2.0" ]

null

unit_tests/test_ceph_radosgw_context.py

dardelean/charm-ceph-radosgw

cdc59e2a39db985aef53f8f9d7a14f761aaa96f6

[ "ECL-2.0", "Apache-2.0" ]

null

unit_tests/test_ceph_radosgw_context.py

dardelean/charm-ceph-radosgw

cdc59e2a39db985aef53f8f9d7a14f761aaa96f6

[ "ECL-2.0", "Apache-2.0" ]

null

# Copyright 2016 Canonical Ltd # # 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 mock import patch import ceph_radosgw_context as context import charmhelpers import charmhelpers.contrib.storage.linux.ceph as ceph from test_utils import CharmTestCase TO_PATCH = [ 'config', 'log', 'relation_get', 'relation_ids', 'related_units', 'cmp_pkgrevno', 'socket', 'unit_public_ip', 'determine_api_port', 'cmp_pkgrevno', 'leader_get', 'utils', ] class HAProxyContextTests(CharmTestCase): def setUp(self): super(HAProxyContextTests, self).setUp(context, TO_PATCH) self.relation_get.side_effect = self.test_relation.get self.config.side_effect = self.test_config.get self.cmp_pkgrevno.return_value = 1 @patch('charmhelpers.contrib.openstack.context.get_relation_ip') @patch('charmhelpers.contrib.openstack.context.mkdir') @patch('charmhelpers.contrib.openstack.context.unit_get') @patch('charmhelpers.contrib.openstack.context.local_unit') @patch('charmhelpers.contrib.openstack.context.config') @patch('charmhelpers.contrib.hahelpers.cluster.config_get') @patch('charmhelpers.contrib.openstack.context.relation_ids') @patch('charmhelpers.contrib.hahelpers.cluster.relation_ids') def test_ctxt(self, _harelation_ids, _ctxtrelation_ids, _haconfig, _ctxtconfig, _local_unit, _unit_get, _mkdir, _get_relation_ip): _unit_get.return_value = '10.0.0.10' _get_relation_ip.return_value = '10.0.0.10' _ctxtconfig.side_effect = self.test_config.get _haconfig.side_effect = self.test_config.get _harelation_ids.return_value = [] haproxy_context = context.HAProxyContext() self.utils.listen_port.return_value = 80 self.determine_api_port.return_value = 70 expect = { 'cephradosgw_bind_port': 70, 'service_ports': {'cephradosgw-server': [80, 70]} } self.assertEqual(expect, haproxy_context()) class IdentityServiceContextTest(CharmTestCase): def setUp(self): super(IdentityServiceContextTest, self).setUp(context, TO_PATCH) self.relation_get.side_effect = self.test_relation.get self.config.side_effect = self.test_config.get self.maxDiff = None self.cmp_pkgrevno.return_value = 1 self.leader_get.return_value = 'False' @patch.object(charmhelpers.contrib.openstack.context, 'filter_installed_packages', return_value=['absent-pkg']) @patch.object(charmhelpers.contrib.openstack.context, 'format_ipv6_addr') @patch.object(charmhelpers.contrib.openstack.context, 'context_complete') @patch.object(charmhelpers.contrib.openstack.context, 'relation_get') @patch.object(charmhelpers.contrib.openstack.context, 'related_units') @patch.object(charmhelpers.contrib.openstack.context, 'relation_ids') @patch.object(charmhelpers.contrib.openstack.context, 'log') def test_ids_ctxt(self, _log, _rids, _runits, _rget, _ctxt_comp, _format_ipv6_addr, _filter_installed_packages, jewel_installed=False, cmp_pkgrevno_side_effects=None): self.cmp_pkgrevno.side_effect = (cmp_pkgrevno_side_effects if cmp_pkgrevno_side_effects else [-1, -1]) self.test_config.set('operator-roles', 'Babel') self.test_config.set('admin-roles', 'Dart') self.test_config.set('cache-size', '42') self.relation_ids.return_value = ['identity-service:5'] self.related_units.return_value = ['keystone/0'] _format_ipv6_addr.return_value = False _rids.return_value = 'rid1' _runits.return_value = 'runit' _ctxt_comp.return_value = True id_data = { 'service_port': 9876, 'service_host': '127.0.0.4', 'service_tenant_id': '2852107b8f8f473aaf0d769c7bbcf86b', 'service_domain_id': '8e50f28a556911e8aaeed33789425d23', 'auth_host': '127.0.0.5', 'auth_port': 5432, 'service_tenant': 'ten', 'service_username': 'admin', 'service_password': 'adminpass', } _rget.return_value = id_data ids_ctxt = context.IdentityServiceContext() expect = { 'admin_domain_id': '8e50f28a556911e8aaeed33789425d23', 'admin_password': 'adminpass', 'admin_tenant_id': '2852107b8f8f473aaf0d769c7bbcf86b', 'admin_tenant_name': 'ten', 'admin_user': 'admin', 'api_version': '2.0', 'auth_host': '127.0.0.5', 'auth_port': 5432, 'auth_protocol': 'http', 'auth_type': 'keystone', 'namespace_tenants': False, 'cache_size': '42', 'service_host': '127.0.0.4', 'service_port': 9876, 'service_protocol': 'http', } if cmp_pkgrevno_side_effects and cmp_pkgrevno_side_effects[1] >= 0: expect['user_roles'] = 'Babel' expect['admin_roles'] = 'Dart' else: expect['user_roles'] = 'Babel,Dart' if jewel_installed: expect['auth_keystone_v3_supported'] = True self.assertEqual(expect, ids_ctxt()) @patch.object(charmhelpers.contrib.openstack.context, 'filter_installed_packages', return_value=['absent-pkg']) @patch.object(charmhelpers.contrib.openstack.context, 'format_ipv6_addr') @patch.object(charmhelpers.contrib.openstack.context, 'context_complete') @patch.object(charmhelpers.contrib.openstack.context, 'relation_get') @patch.object(charmhelpers.contrib.openstack.context, 'related_units') @patch.object(charmhelpers.contrib.openstack.context, 'relation_ids') @patch.object(charmhelpers.contrib.openstack.context, 'log') def test_ids_ctxt_with_namespace(self, _log, _rids, _runits, _rget, _ctxt_comp, _format_ipv6_addr, _filter_installed_packages, jewel_installed=False, cmp_pkgrevno_side_effects=None): self.cmp_pkgrevno.side_effect = (cmp_pkgrevno_side_effects if cmp_pkgrevno_side_effects else [-1, -1]) self.test_config.set('operator-roles', 'Babel') self.test_config.set('admin-roles', 'Dart') self.test_config.set('cache-size', '42') self.relation_ids.return_value = ['identity-service:5'] self.related_units.return_value = ['keystone/0'] _format_ipv6_addr.return_value = False _rids.return_value = 'rid1' _runits.return_value = 'runit' _ctxt_comp.return_value = True self.leader_get.return_value = 'True' id_data = { 'service_port': 9876, 'service_host': '127.0.0.4', 'service_tenant_id': '2852107b8f8f473aaf0d769c7bbcf86b', 'service_domain_id': '8e50f28a556911e8aaeed33789425d23', 'auth_host': '127.0.0.5', 'auth_port': 5432, 'service_tenant': 'ten', 'service_username': 'admin', 'service_password': 'adminpass', } _rget.return_value = id_data ids_ctxt = context.IdentityServiceContext() expect = { 'admin_domain_id': '8e50f28a556911e8aaeed33789425d23', 'admin_password': 'adminpass', 'admin_tenant_id': '2852107b8f8f473aaf0d769c7bbcf86b', 'admin_tenant_name': 'ten', 'admin_user': 'admin', 'api_version': '2.0', 'auth_host': '127.0.0.5', 'auth_port': 5432, 'auth_protocol': 'http', 'auth_type': 'keystone', 'namespace_tenants': True, 'cache_size': '42', 'service_host': '127.0.0.4', 'service_port': 9876, 'service_protocol': 'http', } if cmp_pkgrevno_side_effects and cmp_pkgrevno_side_effects[1] >= 0: expect['user_roles'] = 'Babel' expect['admin_roles'] = 'Dart' else: expect['user_roles'] = 'Babel,Dart' if jewel_installed: expect['auth_keystone_v3_supported'] = True self.assertEqual(expect, ids_ctxt()) @patch.object(charmhelpers.contrib.openstack.context, 'filter_installed_packages', return_value=['absent-pkg']) @patch.object(charmhelpers.contrib.openstack.context, 'format_ipv6_addr') @patch.object(charmhelpers.contrib.openstack.context, 'context_complete') @patch.object(charmhelpers.contrib.openstack.context, 'relation_get') @patch.object(charmhelpers.contrib.openstack.context, 'related_units') @patch.object(charmhelpers.contrib.openstack.context, 'relation_ids') @patch.object(charmhelpers.contrib.openstack.context, 'log') def test_ids_ctxt_missing_admin_domain_id( self, _log, _rids, _runits, _rget, _ctxt_comp, _format_ipv6_addr, _filter_installed_packages, jewel_installed=False): self.test_config.set('operator-roles', 'Babel') self.test_config.set('admin-roles', 'Dart') self.test_config.set('cache-size', '42') self.relation_ids.return_value = ['identity-service:5'] self.related_units.return_value = ['keystone/0'] _format_ipv6_addr.return_value = False _rids.return_value = ['rid1'] _runits.return_value = ['runit'] _ctxt_comp.return_value = True self.cmp_pkgrevno.return_value = -1 if jewel_installed: self.cmp_pkgrevno.return_value = 0 id_data = { 'service_port': 9876, 'service_host': '127.0.0.4', 'service_tenant_id': '2852107b8f8f473aaf0d769c7bbcf86b', 'auth_host': '127.0.0.5', 'auth_port': 5432, 'service_tenant': 'ten', 'service_username': 'admin', 'service_password': 'adminpass', } _rget.return_value = id_data ids_ctxt = context.IdentityServiceContext() expect = { 'admin_password': 'adminpass', 'admin_tenant_id': '2852107b8f8f473aaf0d769c7bbcf86b', 'admin_tenant_name': 'ten', 'admin_user': 'admin', 'api_version': '2.0', 'auth_host': '127.0.0.5', 'auth_port': 5432, 'auth_protocol': 'http', 'auth_type': 'keystone', 'namespace_tenants': False, 'cache_size': '42', 'service_host': '127.0.0.4', 'service_port': 9876, 'service_protocol': 'http', 'user_roles': 'Babel,Dart', } if jewel_installed: expect['auth_keystone_v3_supported'] = True self.assertEqual(expect, ids_ctxt()) @patch.object(charmhelpers.contrib.openstack.context, 'filter_installed_packages', return_value=['absent-pkg']) @patch.object(charmhelpers.contrib.openstack.context, 'format_ipv6_addr') @patch.object(charmhelpers.contrib.openstack.context, 'context_complete') @patch.object(charmhelpers.contrib.openstack.context, 'relation_get') @patch.object(charmhelpers.contrib.openstack.context, 'related_units') @patch.object(charmhelpers.contrib.openstack.context, 'relation_ids') @patch.object(charmhelpers.contrib.openstack.context, 'log') def test_ids_ctxt_v3( self, _log, _rids, _runits, _rget, _ctxt_comp, _format_ipv6_addr, _filter_installed_packages, jewel_installed=False): self.test_config.set('operator-roles', 'Babel') self.test_config.set('admin-roles', 'Dart') self.test_config.set('cache-size', '42') self.relation_ids.return_value = ['identity-service:5'] self.related_units.return_value = ['keystone/0'] _format_ipv6_addr.return_value = False _rids.return_value = ['rid1'] _runits.return_value = ['runit'] _ctxt_comp.return_value = True self.cmp_pkgrevno.return_value = -1 if jewel_installed: self.cmp_pkgrevno.return_value = 0 id_data = { 'service_port': 9876, 'service_host': '127.0.0.4', 'service_tenant_id': '2852107b8f8f473aaf0d769c7bbcf86b', 'service_domain_id': '8e50f28a556911e8aaeed33789425d23', 'service_domain': 'service_domain', 'auth_host': '127.0.0.5', 'auth_port': 5432, 'service_tenant': 'ten', 'service_username': 'admin', 'service_password': 'adminpass', 'api_version': '3', } _rget.return_value = id_data ids_ctxt = context.IdentityServiceContext() expect = { 'admin_domain_id': '8e50f28a556911e8aaeed33789425d23', 'admin_domain_name': 'service_domain', 'admin_password': 'adminpass', 'admin_tenant_id': '2852107b8f8f473aaf0d769c7bbcf86b', 'admin_tenant_name': 'ten', 'admin_user': 'admin', 'api_version': '3', 'auth_host': '127.0.0.5', 'auth_port': 5432, 'auth_protocol': 'http', 'auth_type': 'keystone', 'namespace_tenants': False, 'cache_size': '42', 'service_domain_id': '8e50f28a556911e8aaeed33789425d23', 'service_host': '127.0.0.4', 'service_port': 9876, 'service_project_id': '2852107b8f8f473aaf0d769c7bbcf86b', 'service_protocol': 'http', 'user_roles': 'Babel,Dart', } if jewel_installed: expect['auth_keystone_v3_supported'] = True self.assertEqual(expect, ids_ctxt()) def test_ids_ctxt_jewel(self): self.test_ids_ctxt(jewel_installed=True, cmp_pkgrevno_side_effects=[0, -1]) def test_ids_ctxt_luminous(self): self.test_ids_ctxt(jewel_installed=True, cmp_pkgrevno_side_effects=[1, 0]) @patch.object(charmhelpers.contrib.openstack.context, 'filter_installed_packages', return_value=['absent-pkg']) @patch.object(charmhelpers.contrib.openstack.context, 'relation_ids') @patch.object(charmhelpers.contrib.openstack.context, 'log') def test_ids_ctxt_no_rels(self, _log, _rids, _filter_installed_packages): _rids.return_value = [] ids_ctxt = context.IdentityServiceContext() self.assertEqual(ids_ctxt(), None) class MonContextTest(CharmTestCase): def setUp(self): super(MonContextTest, self).setUp(context, TO_PATCH) self.config.side_effect = self.test_config.get self.unit_public_ip.return_value = '10.255.255.255' self.cmp_pkgrevno.return_value = 1 @patch.object(ceph, 'config', lambda *args: '{"client.radosgw.gateway": {"rgw init timeout": 60}}') @patch.object(context, 'ensure_host_resolvable_v6') def test_ctxt(self, mock_ensure_rsv_v6): self.socket.gethostname.return_value = 'testhost' mon_ctxt = context.MonContext() addresses = ['10.5.4.1', '10.5.4.2', '10.5.4.3'] def _relation_get(attr, unit, rid): if attr == 'ceph-public-address': return addresses.pop() elif attr == 'auth': return 'cephx' elif attr == 'rgw.testhost_key': return 'testkey' elif attr == 'fsid': return 'testfsid' self.relation_get.side_effect = _relation_get self.relation_ids.return_value = ['mon:6'] self.related_units.return_value = ['ceph/0', 'ceph/1', 'ceph/2'] self.determine_api_port.return_value = 70 expect = { 'auth_supported': 'cephx', 'hostname': 'testhost', 'mon_hosts': '10.5.4.1 10.5.4.2 10.5.4.3', 'old_auth': False, 'systemd_rgw': True, 'unit_public_ip': '10.255.255.255', 'use_syslog': 'false', 'loglevel': 1, 'port': 70, 'client_radosgw_gateway': {'rgw init timeout': 60}, 'ipv6': False, 'rgw_zone': None, 'fsid': 'testfsid', } self.assertEqual(expect, mon_ctxt()) self.assertFalse(mock_ensure_rsv_v6.called) self.test_config.set('prefer-ipv6', True) addresses = ['10.5.4.1', '10.5.4.2', '10.5.4.3'] expect['ipv6'] = True expect['port'] = "[::]:%s" % (70) self.assertEqual(expect, mon_ctxt()) self.assertTrue(mock_ensure_rsv_v6.called) @patch.object(ceph, 'config', lambda *args: '{"client.radosgw.gateway": {"rgw init timeout": 60}}') @patch.object(context, 'ensure_host_resolvable_v6') def test_list_of_addresses_from_ceph_proxy(self, mock_ensure_rsv_v6): self.socket.gethostname.return_value = 'testhost' mon_ctxt = context.MonContext() addresses = ['10.5.4.1 10.5.4.2 10.5.4.3'] self.cmp_pkgrevno.return_value = 1 def _relation_get(attr, unit, rid): if attr == 'ceph-public-address': return addresses.pop() elif attr == 'auth': return 'cephx' elif attr == 'rgw.testhost_key': return 'testkey' elif attr == 'fsid': return 'testfsid' self.relation_get.side_effect = _relation_get self.relation_ids.return_value = ['mon:6'] self.related_units.return_value = ['ceph-proxy/0'] self.determine_api_port.return_value = 70 expect = { 'auth_supported': 'cephx', 'hostname': 'testhost', 'mon_hosts': '10.5.4.1 10.5.4.2 10.5.4.3', 'old_auth': False, 'systemd_rgw': True, 'unit_public_ip': '10.255.255.255', 'use_syslog': 'false', 'loglevel': 1, 'port': 70, 'client_radosgw_gateway': {'rgw init timeout': 60}, 'ipv6': False, 'rgw_zone': None, 'fsid': 'testfsid', } self.assertEqual(expect, mon_ctxt()) self.assertFalse(mock_ensure_rsv_v6.called) self.test_config.set('prefer-ipv6', True) addresses = ['10.5.4.1 10.5.4.2 10.5.4.3'] expect['ipv6'] = True expect['port'] = "[::]:%s" % (70) self.assertEqual(expect, mon_ctxt()) self.assertTrue(mock_ensure_rsv_v6.called) @patch.object(ceph, 'config', lambda *args: '{"client.radosgw.gateway": {"rgw init timeout": 60}}') def test_ctxt_missing_data(self): self.socket.gethostname.return_value = 'testhost' mon_ctxt = context.MonContext() self.relation_get.return_value = None self.relation_ids.return_value = ['mon:6'] self.related_units.return_value = ['ceph/0', 'ceph/1', 'ceph/2'] self.assertEqual({}, mon_ctxt()) @patch.object(ceph, 'config', lambda *args: '{"client.radosgw.gateway": {"rgw init timeout": 60}}') def test_ctxt_inconsistent_auths(self): self.socket.gethostname.return_value = 'testhost' mon_ctxt = context.MonContext() addresses = ['10.5.4.1', '10.5.4.2', '10.5.4.3'] auths = ['cephx', 'cephy', 'cephz'] def _relation_get(attr, unit, rid): if attr == 'ceph-public-address': return addresses.pop() elif attr == 'auth': return auths.pop() elif attr == 'rgw.testhost_key': return 'testkey' elif attr == 'fsid': return 'testfsid' self.relation_get.side_effect = _relation_get self.relation_ids.return_value = ['mon:6'] self.related_units.return_value = ['ceph/0', 'ceph/1', 'ceph/2'] self.determine_api_port.return_value = 70 expect = { 'auth_supported': 'none', 'hostname': 'testhost', 'mon_hosts': '10.5.4.1 10.5.4.2 10.5.4.3', 'old_auth': False, 'systemd_rgw': True, 'unit_public_ip': '10.255.255.255', 'use_syslog': 'false', 'loglevel': 1, 'port': 70, 'client_radosgw_gateway': {'rgw init timeout': 60}, 'ipv6': False, 'rgw_zone': None, 'fsid': 'testfsid', } self.assertEqual(expect, mon_ctxt()) @patch.object(ceph, 'config', lambda *args: '{"client.radosgw.gateway": {"rgw init timeout": 60}}') def test_ctxt_consistent_auths(self): self.socket.gethostname.return_value = 'testhost' mon_ctxt = context.MonContext() addresses = ['10.5.4.1', '10.5.4.2', '10.5.4.3'] auths = ['cephx', 'cephx', 'cephx'] def _relation_get(attr, unit, rid): if attr == 'ceph-public-address': return addresses.pop() elif attr == 'auth': return auths.pop() elif attr == 'rgw.testhost_key': return 'testkey' elif attr == 'fsid': return 'testfsid' self.relation_get.side_effect = _relation_get self.relation_ids.return_value = ['mon:6'] self.related_units.return_value = ['ceph/0', 'ceph/1', 'ceph/2'] self.determine_api_port.return_value = 70 expect = { 'auth_supported': 'cephx', 'hostname': 'testhost', 'mon_hosts': '10.5.4.1 10.5.4.2 10.5.4.3', 'old_auth': False, 'systemd_rgw': True, 'unit_public_ip': '10.255.255.255', 'use_syslog': 'false', 'loglevel': 1, 'port': 70, 'client_radosgw_gateway': {'rgw init timeout': 60}, 'ipv6': False, 'rgw_zone': None, 'fsid': 'testfsid', } self.assertEqual(expect, mon_ctxt()) class ApacheContextTest(CharmTestCase): def setUp(self): super(ApacheContextTest, self).setUp(context, TO_PATCH) self.config.side_effect = self.test_config.get

42.042357

77

0.600727

2,517

22,829

5.178387

0.097735

0.059076

0.079484

0.099356

0.867347

0.834356

0.819395

0.811263

0.808271

0.807964

0

0.052283

0.271935

22,829

542

78

42.119926

0.731905

0.023961

0

0.806517

0

0.01222

0.253099

0.063769

0

0.034623

1

0.04277

false

0.016293

0.010183

0

0.093686

0

null

0

1

0

1

0

null

0

7

185157c4ded9f6f6d11fda053daf49f2f7984f64

126

py

Python

J_Mathematical_Modeling/Section 2/solutionQuestion1.py

sylvain2002/CBM101

4d9dc4264ce81cc2af58ceaff96fd0ed7a570af5

[ "MIT" ]

7

2019-07-03T07:41:55.000Z

2022-02-06T20:25:37.000Z

J_Mathematical_Modeling/Section 2/solutionQuestion1.py

sylvain2002/CBM101

4d9dc4264ce81cc2af58ceaff96fd0ed7a570af5

[ "MIT" ]

9

2019-03-14T15:15:09.000Z

2019-08-01T14:18:21.000Z

J_Mathematical_Modeling/Section 2/solutionQuestion1.py

sylvain2002/CBM101

4d9dc4264ce81cc2af58ceaff96fd0ed7a570af5

[ "MIT" ]

11

2019-03-12T10:43:11.000Z

2021-10-05T12:15:00.000Z

print("No. Because protein a does not affect the total concentration of protein b, it only converts inactive b in active b. ")

126

0.777778

22

126

4.454545

0.863636

0

0.166667

126

1

126

0.933333

0

1

0.92126

0

1

0

true

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

7

187bfbe011f7e111114412c5f585f9f34fa6ab2f

550

py

Python

Ryven/custom_src/WidgetBaseClasses.py

lidong1266/Ryven-Switch

68d1f71e81d6564196f44ca49d5903f06db6a4d9

[ "MIT" ]

18

2021-01-18T09:52:41.000Z

2022-03-22T10:48:44.000Z

Ryven/custom_src/WidgetBaseClasses.py

xamofb-xsk/Ryven

8c3dcc613098863ae9fb747e62c0bb9d9eb4cef1

[ "MIT" ]

null

Ryven/custom_src/WidgetBaseClasses.py

xamofb-xsk/Ryven

8c3dcc613098863ae9fb747e62c0bb9d9eb4cef1

[ "MIT" ]

3

2021-01-18T09:49:42.000Z

2022-03-22T10:48:47.000Z

class MWB: """MainWidgetBase""" def __init__(self, params): self.parent_node_instance = params def get_data(self): data = {} return data def set_data(self, data): pass def remove_event(self): pass class IWB: """InputWidgetBase""" def __init__(self, params): self.parent_port_instance, self.parent_node_instance = params def get_data(self): data = {} return data def set_data(self, data): pass def remove_event(self): pass

17.741935

69

0.583636

64

550

4.703125

0.3125

0.106312

0.159468

0.112957

0.810631

0.664452

0

0.318182

550

30

70

18.333333

0.802667

0.054545

0

0.8

0

1

0.4

false

0.2

0

0.6

0

null

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1

0

1

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1

0

null

0

1

0

1

0

1

0

7

a10c6dd7f7d65e2eedccc0dabdcc5d0d9513cc0b

76,325

py

Python

python/ngsi_v2/ngsi_v2/api/entities_api.py

orchestracities/sdk

9dd1e618d6c013ab916f3880df84c7882f6beec6

[ "Apache-2.0" ]

2

2019-12-22T01:01:34.000Z

2021-07-03T20:30:03.000Z

python/ngsi_v2/ngsi_v2/api/entities_api.py

orchestracities/sdk

9dd1e618d6c013ab916f3880df84c7882f6beec6

[ "Apache-2.0" ]

2

2019-06-06T05:45:45.000Z

2019-06-06T09:03:10.000Z

python/ngsi_v2/ngsi_v2/api/entities_api.py

orchestracities/sdk

9dd1e618d6c013ab916f3880df84c7882f6beec6

[ "Apache-2.0" ]

2

2021-07-03T20:30:06.000Z

2021-11-30T21:55:02.000Z

# coding: utf-8 """ ngsi_v2 NGSI V2 API RC-2018.07 # noqa: E501 The version of the OpenAPI document: 0.2.2 Contact: info@orchestracities.com Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from ngsi_v2.api_client import ApiClient from ngsi_v2.exceptions import ( ApiTypeError, ApiValueError ) class EntitiesApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def create_entity(self, request_body, **kwargs): # noqa: E501 """create_entity # noqa: E501 The payload is an object representing the entity to be created. The object follows the JSON entity Representation format (described in a [JSON Entity Representation](https://fiware.github.io/specifications/ngsiv2/stable) section). Response: * Successful operation uses 201 Created or 204 No Content (if upsert option is used). Response includes a `Location` header with the URL of the created entity. * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_entity(request_body, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param dict(str, object) request_body: (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str options: Options dictionary :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.create_entity_with_http_info(request_body, **kwargs) # noqa: E501 def create_entity_with_http_info(self, request_body, **kwargs): # noqa: E501 """create_entity # noqa: E501 The payload is an object representing the entity to be created. The object follows the JSON entity Representation format (described in a [JSON Entity Representation](https://fiware.github.io/specifications/ngsiv2/stable) section). Response: * Successful operation uses 201 Created or 204 No Content (if upsert option is used). Response includes a `Location` header with the URL of the created entity. * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_entity_with_http_info(request_body, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param dict(str, object) request_body: (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str options: Options dictionary :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['request_body', 'fiware_service', 'fiware_service_path', 'options'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method create_entity" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'request_body' is set if ('request_body' not in local_var_params or local_var_params['request_body'] is None): raise ApiValueError("Missing the required parameter `request_body` when calling `create_entity`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'options' in local_var_params: query_params.append(('options', local_var_params['options'])) # noqa: E501 header_params = {} if 'fiware_service' in local_var_params: header_params['Fiware-Service'] = local_var_params['fiware_service'] # noqa: E501 if 'fiware_service_path' in local_var_params: header_params['Fiware-ServicePath'] = local_var_params['fiware_service_path'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'request_body' in local_var_params: body_params = local_var_params['request_body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth', 'BearerAuth'] # noqa: E501 return self.api_client.call_api( '/entities', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def list_entities(self, **kwargs): # noqa: E501 """list_entities # noqa: E501 Retrieves a list of entities that match different criteria by id, type, pattern matching (either id or type) and/or those which match a query or geographical query (see [Simple Query Language](https://fiware.github.io/specifications/ngsiv2/stable) and [Geographical Queries](https://fiware.github.io/specifications/ngsiv2/stable)). A given entity has to match all the criteria to be retrieved (i.e., the criteria is combined in a logical AND way). Note that pattern matching query parameters are incompatible (i.e. mutually exclusive) with their corresponding exact matching parameters, i.e. `idPattern` with `id` and `typePattern` with `type`. The response payload is an array containing one object per matching entity. Each entity follows the JSON entity Representation format (described in [JSON Entity Representation](https://fiware.github.io/specifications/ngsiv2/stable) section). Response code: * Successful operation uses 200 OK * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_entities(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str id: A comma-separated list of elements. Retrieve entities whose ID matches one of the elements in the list. Incompatible with `idPattern`. :param str type: comma-separated list of elements. Retrieve entities whose type matches one of the elements in the list. Incompatible with `typePattern`. :param str id_pattern: A correctly formated regular expression. Retrieve entities whose ID matches the regular expression. Incompatible with `id`. :param str type_pattern: A correctly formated regular expression. Retrieve entities whose type matches the regular expression. Incompatible with `type`. :param str q: A query expression, composed of a list of statements separated by `;`, i.e., q=statement;statements;statement. See [Simple Query Language specification](https://fiware.github.io/specifications/ngsiv2/stable). :param str mq: A query expression for attribute metadata, composed of a list of statements separated by `;`, i.e., mq=statement1;statement2;statement3. See [Simple Query Language specification](https://fiware.github.io/specifications/ngsiv2/stable). :param str georel: Spatial relationship between matching entities and a reference shape. See [Geographical Queries](https://fiware.github.io/specifications/ngsiv2/stable). :param str geometry: Geografical area to which the query is restricted. See [Geographical Queries](https://fiware.github.io/specifications/ngsiv2/stable). :param str coords: List of latitude-longitude pairs of coordinates separated by `;`. See [Geographical Queries](https://fiware.github.io/specifications/ngsiv2/stable). :param int limit: Limits the number of entities to be retrieved :param int offset: Establishes the offset from where entities are retrieved :param str attrs: Comma-separated list of attribute names whose data are to be included in the response. The attributes are retrieved in the order specified by this parameter. If this parameter is not included, the attributes are retrieved in arbitrary order. :param str metadata: A list of metadata names to include in the response. :param str order_by: Criteria for ordering results. See [Ordering Results](https://fiware.github.io/specifications/ngsiv2/stable) section for details. :param str options: Options dictionary :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[Entity] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.list_entities_with_http_info(**kwargs) # noqa: E501 def list_entities_with_http_info(self, **kwargs): # noqa: E501 """list_entities # noqa: E501 Retrieves a list of entities that match different criteria by id, type, pattern matching (either id or type) and/or those which match a query or geographical query (see [Simple Query Language](https://fiware.github.io/specifications/ngsiv2/stable) and [Geographical Queries](https://fiware.github.io/specifications/ngsiv2/stable)). A given entity has to match all the criteria to be retrieved (i.e., the criteria is combined in a logical AND way). Note that pattern matching query parameters are incompatible (i.e. mutually exclusive) with their corresponding exact matching parameters, i.e. `idPattern` with `id` and `typePattern` with `type`. The response payload is an array containing one object per matching entity. Each entity follows the JSON entity Representation format (described in [JSON Entity Representation](https://fiware.github.io/specifications/ngsiv2/stable) section). Response code: * Successful operation uses 200 OK * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_entities_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str id: A comma-separated list of elements. Retrieve entities whose ID matches one of the elements in the list. Incompatible with `idPattern`. :param str type: comma-separated list of elements. Retrieve entities whose type matches one of the elements in the list. Incompatible with `typePattern`. :param str id_pattern: A correctly formated regular expression. Retrieve entities whose ID matches the regular expression. Incompatible with `id`. :param str type_pattern: A correctly formated regular expression. Retrieve entities whose type matches the regular expression. Incompatible with `type`. :param str q: A query expression, composed of a list of statements separated by `;`, i.e., q=statement;statements;statement. See [Simple Query Language specification](https://fiware.github.io/specifications/ngsiv2/stable). :param str mq: A query expression for attribute metadata, composed of a list of statements separated by `;`, i.e., mq=statement1;statement2;statement3. See [Simple Query Language specification](https://fiware.github.io/specifications/ngsiv2/stable). :param str georel: Spatial relationship between matching entities and a reference shape. See [Geographical Queries](https://fiware.github.io/specifications/ngsiv2/stable). :param str geometry: Geografical area to which the query is restricted. See [Geographical Queries](https://fiware.github.io/specifications/ngsiv2/stable). :param str coords: List of latitude-longitude pairs of coordinates separated by `;`. See [Geographical Queries](https://fiware.github.io/specifications/ngsiv2/stable). :param int limit: Limits the number of entities to be retrieved :param int offset: Establishes the offset from where entities are retrieved :param str attrs: Comma-separated list of attribute names whose data are to be included in the response. The attributes are retrieved in the order specified by this parameter. If this parameter is not included, the attributes are retrieved in arbitrary order. :param str metadata: A list of metadata names to include in the response. :param str order_by: Criteria for ordering results. See [Ordering Results](https://fiware.github.io/specifications/ngsiv2/stable) section for details. :param str options: Options dictionary :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[Entity], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['fiware_service', 'fiware_service_path', 'id', 'type', 'id_pattern', 'type_pattern', 'q', 'mq', 'georel', 'geometry', 'coords', 'limit', 'offset', 'attrs', 'metadata', 'order_by', 'options'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method list_entities" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'id' in local_var_params: query_params.append(('id', local_var_params['id'])) # noqa: E501 if 'type' in local_var_params: query_params.append(('type', local_var_params['type'])) # noqa: E501 if 'id_pattern' in local_var_params: query_params.append(('idPattern', local_var_params['id_pattern'])) # noqa: E501 if 'type_pattern' in local_var_params: query_params.append(('typePattern', local_var_params['type_pattern'])) # noqa: E501 if 'q' in local_var_params: query_params.append(('q', local_var_params['q'])) # noqa: E501 if 'mq' in local_var_params: query_params.append(('mq', local_var_params['mq'])) # noqa: E501 if 'georel' in local_var_params: query_params.append(('georel', local_var_params['georel'])) # noqa: E501 if 'geometry' in local_var_params: query_params.append(('geometry', local_var_params['geometry'])) # noqa: E501 if 'coords' in local_var_params: query_params.append(('coords', local_var_params['coords'])) # noqa: E501 if 'limit' in local_var_params: query_params.append(('limit', local_var_params['limit'])) # noqa: E501 if 'offset' in local_var_params: query_params.append(('offset', local_var_params['offset'])) # noqa: E501 if 'attrs' in local_var_params: query_params.append(('attrs', local_var_params['attrs'])) # noqa: E501 if 'metadata' in local_var_params: query_params.append(('metadata', local_var_params['metadata'])) # noqa: E501 if 'order_by' in local_var_params: query_params.append(('orderBy', local_var_params['order_by'])) # noqa: E501 if 'options' in local_var_params: query_params.append(('options', local_var_params['options'])) # noqa: E501 header_params = {} if 'fiware_service' in local_var_params: header_params['Fiware-Service'] = local_var_params['fiware_service'] # noqa: E501 if 'fiware_service_path' in local_var_params: header_params['Fiware-ServicePath'] = local_var_params['fiware_service_path'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth', 'BearerAuth'] # noqa: E501 return self.api_client.call_api( '/entities', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Entity]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def remove_entity(self, entity_id, **kwargs): # noqa: E501 """remove_entity # noqa: E501 Delete the entity. Response: * Successful operation uses 204 No Content * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.remove_entity(entity_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str entity_id: Id of the entity to be deleted (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str type: Entity type, to avoid ambiguity in the case there are several entities with the same entity id. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.remove_entity_with_http_info(entity_id, **kwargs) # noqa: E501 def remove_entity_with_http_info(self, entity_id, **kwargs): # noqa: E501 """remove_entity # noqa: E501 Delete the entity. Response: * Successful operation uses 204 No Content * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.remove_entity_with_http_info(entity_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str entity_id: Id of the entity to be deleted (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str type: Entity type, to avoid ambiguity in the case there are several entities with the same entity id. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['entity_id', 'fiware_service', 'fiware_service_path', 'type'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method remove_entity" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'entity_id' is set if ('entity_id' not in local_var_params or local_var_params['entity_id'] is None): raise ApiValueError("Missing the required parameter `entity_id` when calling `remove_entity`") # noqa: E501 collection_formats = {} path_params = {} if 'entity_id' in local_var_params: path_params['entityId'] = local_var_params['entity_id'] # noqa: E501 query_params = [] if 'type' in local_var_params: query_params.append(('type', local_var_params['type'])) # noqa: E501 header_params = {} if 'fiware_service' in local_var_params: header_params['Fiware-Service'] = local_var_params['fiware_service'] # noqa: E501 if 'fiware_service_path' in local_var_params: header_params['Fiware-ServicePath'] = local_var_params['fiware_service_path'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth', 'BearerAuth'] # noqa: E501 return self.api_client.call_api( '/entities/{entityId}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def replace_all_entity_attributes(self, entity_id, body, **kwargs): # noqa: E501 """replace_all_entity_attributes # noqa: E501 The request payload is an object representing the new entity attributes. The object follows the JSON entity Representation format (described in a [JSON Entity Representation](https://fiware.github.io/specifications/ngsiv2/stable) above), except that `id` and `type` are not allowed. The attributes previously existing in the entity are removed and replaced by the ones in the request. Response: * Successful operation uses 204 No Content * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.replace_all_entity_attributes(entity_id, body, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str entity_id: Id of the entity in question. (required) :param object body: (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str type: Entity type, to avoid ambiguity in the case there are several entities with the same entity id. :param str options: Operations options :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.replace_all_entity_attributes_with_http_info(entity_id, body, **kwargs) # noqa: E501 def replace_all_entity_attributes_with_http_info(self, entity_id, body, **kwargs): # noqa: E501 """replace_all_entity_attributes # noqa: E501 The request payload is an object representing the new entity attributes. The object follows the JSON entity Representation format (described in a [JSON Entity Representation](https://fiware.github.io/specifications/ngsiv2/stable) above), except that `id` and `type` are not allowed. The attributes previously existing in the entity are removed and replaced by the ones in the request. Response: * Successful operation uses 204 No Content * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.replace_all_entity_attributes_with_http_info(entity_id, body, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str entity_id: Id of the entity in question. (required) :param object body: (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str type: Entity type, to avoid ambiguity in the case there are several entities with the same entity id. :param str options: Operations options :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['entity_id', 'body', 'fiware_service', 'fiware_service_path', 'type', 'options'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method replace_all_entity_attributes" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'entity_id' is set if ('entity_id' not in local_var_params or local_var_params['entity_id'] is None): raise ApiValueError("Missing the required parameter `entity_id` when calling `replace_all_entity_attributes`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in local_var_params or local_var_params['body'] is None): raise ApiValueError("Missing the required parameter `body` when calling `replace_all_entity_attributes`") # noqa: E501 collection_formats = {} path_params = {} if 'entity_id' in local_var_params: path_params['entityId'] = local_var_params['entity_id'] # noqa: E501 query_params = [] if 'type' in local_var_params: query_params.append(('type', local_var_params['type'])) # noqa: E501 if 'options' in local_var_params: query_params.append(('options', local_var_params['options'])) # noqa: E501 header_params = {} if 'fiware_service' in local_var_params: header_params['Fiware-Service'] = local_var_params['fiware_service'] # noqa: E501 if 'fiware_service_path' in local_var_params: header_params['Fiware-ServicePath'] = local_var_params['fiware_service_path'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth', 'BearerAuth'] # noqa: E501 return self.api_client.call_api( '/entities/{entityId}/attrs', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def retrieve_entity(self, entity_id, **kwargs): # noqa: E501 """retrieve_entity # noqa: E501 The response is an object representing the entity identified by the ID. The object follows the JSON entity Representation format (described in a [JSON Entity Representation](https://fiware.github.io/specifications/ngsiv2/stable) section). This operation must return one entity element only, but there may be more than one entity with the same ID (e.g. entities with same ID but different types). In such case, an error message is returned, with the HTTP status code set to 409 Conflict. Response: * Successful operation uses 200 OK * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.retrieve_entity(entity_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str entity_id: Id of the entity to be retrieved (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str type: Entity type, to avoid ambiguity in case there are several entities with the same entity id. :param str attrs: Comma-separated list of attribute names whose data must be included in the response. The attributes are retrieved in the order specified by this parameter. If this parameter is not included, the attributes are retrieved in arbitrary order, and all the attributes of the entity are included in the response. :param str metadata: A list of metadata names to include in the response. See \"Filtering out attributes and metadata\" section for more detail. :param str options: Options dictionary :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Entity If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.retrieve_entity_with_http_info(entity_id, **kwargs) # noqa: E501 def retrieve_entity_with_http_info(self, entity_id, **kwargs): # noqa: E501 """retrieve_entity # noqa: E501 The response is an object representing the entity identified by the ID. The object follows the JSON entity Representation format (described in a [JSON Entity Representation](https://fiware.github.io/specifications/ngsiv2/stable) section). This operation must return one entity element only, but there may be more than one entity with the same ID (e.g. entities with same ID but different types). In such case, an error message is returned, with the HTTP status code set to 409 Conflict. Response: * Successful operation uses 200 OK * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.retrieve_entity_with_http_info(entity_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str entity_id: Id of the entity to be retrieved (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str type: Entity type, to avoid ambiguity in case there are several entities with the same entity id. :param str attrs: Comma-separated list of attribute names whose data must be included in the response. The attributes are retrieved in the order specified by this parameter. If this parameter is not included, the attributes are retrieved in arbitrary order, and all the attributes of the entity are included in the response. :param str metadata: A list of metadata names to include in the response. See \"Filtering out attributes and metadata\" section for more detail. :param str options: Options dictionary :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Entity, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['entity_id', 'fiware_service', 'fiware_service_path', 'type', 'attrs', 'metadata', 'options'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method retrieve_entity" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'entity_id' is set if ('entity_id' not in local_var_params or local_var_params['entity_id'] is None): raise ApiValueError("Missing the required parameter `entity_id` when calling `retrieve_entity`") # noqa: E501 collection_formats = {} path_params = {} if 'entity_id' in local_var_params: path_params['entityId'] = local_var_params['entity_id'] # noqa: E501 query_params = [] if 'type' in local_var_params: query_params.append(('type', local_var_params['type'])) # noqa: E501 if 'attrs' in local_var_params: query_params.append(('attrs', local_var_params['attrs'])) # noqa: E501 if 'metadata' in local_var_params: query_params.append(('metadata', local_var_params['metadata'])) # noqa: E501 if 'options' in local_var_params: query_params.append(('options', local_var_params['options'])) # noqa: E501 header_params = {} if 'fiware_service' in local_var_params: header_params['Fiware-Service'] = local_var_params['fiware_service'] # noqa: E501 if 'fiware_service_path' in local_var_params: header_params['Fiware-ServicePath'] = local_var_params['fiware_service_path'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth', 'BearerAuth'] # noqa: E501 return self.api_client.call_api( '/entities/{entityId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Entity', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def retrieve_entity_attributes(self, entity_id, **kwargs): # noqa: E501 """retrieve_entity_attributes # noqa: E501 This request is similar to retreiving the whole entity, however this one omits the `id` and `type` fields. Just like the general request of getting an entire entity, this operation must return only one entity element. If more than one entity with the same ID is found (e.g. entities with same ID but different type), an error message is returned, with the HTTP status code set to 409 Conflict. Response: * Successful operation uses 200 OK * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.retrieve_entity_attributes(entity_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str entity_id: Id of the entity to be retrieved (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str type: Entity type, to avoid ambiguity in the case there are several entities with the same entity id. :param str attrs: Comma-separated list of attribute names whose data are to be included in the response. The attributes are retrieved in the order specified by this parameter. If this parameter is not included, the attributes are retrieved in arbitrary order, and all the attributes of the entity are included in the response. :param str metadata: A list of metadata names to include in the response. See [Filtering out attributes and metadata](https://fiware.github.io/specifications/ngsiv2/stable) section for more detail. :param str options: Options dictionary :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.retrieve_entity_attributes_with_http_info(entity_id, **kwargs) # noqa: E501 def retrieve_entity_attributes_with_http_info(self, entity_id, **kwargs): # noqa: E501 """retrieve_entity_attributes # noqa: E501 This request is similar to retreiving the whole entity, however this one omits the `id` and `type` fields. Just like the general request of getting an entire entity, this operation must return only one entity element. If more than one entity with the same ID is found (e.g. entities with same ID but different type), an error message is returned, with the HTTP status code set to 409 Conflict. Response: * Successful operation uses 200 OK * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.retrieve_entity_attributes_with_http_info(entity_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str entity_id: Id of the entity to be retrieved (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str type: Entity type, to avoid ambiguity in the case there are several entities with the same entity id. :param str attrs: Comma-separated list of attribute names whose data are to be included in the response. The attributes are retrieved in the order specified by this parameter. If this parameter is not included, the attributes are retrieved in arbitrary order, and all the attributes of the entity are included in the response. :param str metadata: A list of metadata names to include in the response. See [Filtering out attributes and metadata](https://fiware.github.io/specifications/ngsiv2/stable) section for more detail. :param str options: Options dictionary :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(object, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['entity_id', 'fiware_service', 'fiware_service_path', 'type', 'attrs', 'metadata', 'options'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method retrieve_entity_attributes" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'entity_id' is set if ('entity_id' not in local_var_params or local_var_params['entity_id'] is None): raise ApiValueError("Missing the required parameter `entity_id` when calling `retrieve_entity_attributes`") # noqa: E501 collection_formats = {} path_params = {} if 'entity_id' in local_var_params: path_params['entityId'] = local_var_params['entity_id'] # noqa: E501 query_params = [] if 'type' in local_var_params: query_params.append(('type', local_var_params['type'])) # noqa: E501 if 'attrs' in local_var_params: query_params.append(('attrs', local_var_params['attrs'])) # noqa: E501 if 'metadata' in local_var_params: query_params.append(('metadata', local_var_params['metadata'])) # noqa: E501 if 'options' in local_var_params: query_params.append(('options', local_var_params['options'])) # noqa: E501 header_params = {} if 'fiware_service' in local_var_params: header_params['Fiware-Service'] = local_var_params['fiware_service'] # noqa: E501 if 'fiware_service_path' in local_var_params: header_params['Fiware-ServicePath'] = local_var_params['fiware_service_path'] # noqa: E501 form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth', 'BearerAuth'] # noqa: E501 return self.api_client.call_api( '/entities/{entityId}/attrs', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def update_existing_entity_attributes(self, entity_id, body, **kwargs): # noqa: E501 """update_existing_entity_attributes # noqa: E501 The request payload is an object representing the attributes to update. The object follows the JSON entity Representation format (described in [JSON Entity Representation](https://fiware.github.io/specifications/ngsiv2/stable) section), except that `id` and `type` are not allowed. The entity attributes are updated with the ones in the payload. In addition to that, if one or more attributes in the payload doesn't exist in the entity, an error is returned. Response: * Successful operation uses 204 No Content * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_existing_entity_attributes(entity_id, body, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str entity_id: Id of the entity to be updated (required) :param object body: (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str type: Entity type, to avoid ambiguity in case there are several entities with the same entity id. :param str options: Operations options :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.update_existing_entity_attributes_with_http_info(entity_id, body, **kwargs) # noqa: E501 def update_existing_entity_attributes_with_http_info(self, entity_id, body, **kwargs): # noqa: E501 """update_existing_entity_attributes # noqa: E501 The request payload is an object representing the attributes to update. The object follows the JSON entity Representation format (described in [JSON Entity Representation](https://fiware.github.io/specifications/ngsiv2/stable) section), except that `id` and `type` are not allowed. The entity attributes are updated with the ones in the payload. In addition to that, if one or more attributes in the payload doesn't exist in the entity, an error is returned. Response: * Successful operation uses 204 No Content * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_existing_entity_attributes_with_http_info(entity_id, body, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str entity_id: Id of the entity to be updated (required) :param object body: (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str type: Entity type, to avoid ambiguity in case there are several entities with the same entity id. :param str options: Operations options :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['entity_id', 'body', 'fiware_service', 'fiware_service_path', 'type', 'options'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method update_existing_entity_attributes" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'entity_id' is set if ('entity_id' not in local_var_params or local_var_params['entity_id'] is None): raise ApiValueError("Missing the required parameter `entity_id` when calling `update_existing_entity_attributes`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in local_var_params or local_var_params['body'] is None): raise ApiValueError("Missing the required parameter `body` when calling `update_existing_entity_attributes`") # noqa: E501 collection_formats = {} path_params = {} if 'entity_id' in local_var_params: path_params['entityId'] = local_var_params['entity_id'] # noqa: E501 query_params = [] if 'type' in local_var_params: query_params.append(('type', local_var_params['type'])) # noqa: E501 if 'options' in local_var_params: query_params.append(('options', local_var_params['options'])) # noqa: E501 header_params = {} if 'fiware_service' in local_var_params: header_params['Fiware-Service'] = local_var_params['fiware_service'] # noqa: E501 if 'fiware_service_path' in local_var_params: header_params['Fiware-ServicePath'] = local_var_params['fiware_service_path'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth', 'BearerAuth'] # noqa: E501 return self.api_client.call_api( '/entities/{entityId}/attrs', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def update_or_append_entity_attributes(self, entity_id, body, **kwargs): # noqa: E501 """update_or_append_entity_attributes # noqa: E501 The request payload is an object representing the attributes to append or update. The object follows the JSON entity Representation format (described in [JSON Entity Representation](https://fiware.github.io/specifications/ngsiv2/stable) section), except that `id` and `type` are not allowed. The entity attributes are updated with the ones in the payload, depending on whether the `append` operation option is used or not. * If `append` is not used: the entity attributes are updated (if they previously exist) or appended (if they don't previously exist) with the ones in the payload. * If `append` is used (i.e. strict append semantics): all the attributes in the payload not previously existing in the entity are appended. In addition to that, in case some of the attributes in the payload already exist in the entity, an error is returned. Response: * Successful operation uses 204 No Content * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_or_append_entity_attributes(entity_id, body, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str entity_id: Entity id to be updated (required) :param object body: (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str type: Entity type, to avoid ambiguity in case there are several entities with the same entity id. :param str options: Operations options :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.update_or_append_entity_attributes_with_http_info(entity_id, body, **kwargs) # noqa: E501 def update_or_append_entity_attributes_with_http_info(self, entity_id, body, **kwargs): # noqa: E501 """update_or_append_entity_attributes # noqa: E501 The request payload is an object representing the attributes to append or update. The object follows the JSON entity Representation format (described in [JSON Entity Representation](https://fiware.github.io/specifications/ngsiv2/stable) section), except that `id` and `type` are not allowed. The entity attributes are updated with the ones in the payload, depending on whether the `append` operation option is used or not. * If `append` is not used: the entity attributes are updated (if they previously exist) or appended (if they don't previously exist) with the ones in the payload. * If `append` is used (i.e. strict append semantics): all the attributes in the payload not previously existing in the entity are appended. In addition to that, in case some of the attributes in the payload already exist in the entity, an error is returned. Response: * Successful operation uses 204 No Content * Errors use a non-2xx and (optionally) an error payload. See subsection on [Error Responses](https://fiware.github.io/specifications/ngsiv2/stable) for more details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_or_append_entity_attributes_with_http_info(entity_id, body, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str entity_id: Entity id to be updated (required) :param object body: (required) :param str fiware_service: When \"-multiservice\" is used, Orion uses the \"Fiware-Service\" HTTP header in the request to identify the service/tenant. If the header is not present in the HTTP request, the default service/tenant is used.. :param str fiware_service_path: Fiware-ServicePath is an optional header. It is assumed that all the entities created without Fiware-ServicePath (or that don't include service path information in the database) belongs to a root scope \"/\" implicitely. :param str type: Entity type, to avoid ambiguity in case there are several entities with the same entity id. :param str options: Operations options :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: None If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['entity_id', 'body', 'fiware_service', 'fiware_service_path', 'type', 'options'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method update_or_append_entity_attributes" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'entity_id' is set if ('entity_id' not in local_var_params or local_var_params['entity_id'] is None): raise ApiValueError("Missing the required parameter `entity_id` when calling `update_or_append_entity_attributes`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in local_var_params or local_var_params['body'] is None): raise ApiValueError("Missing the required parameter `body` when calling `update_or_append_entity_attributes`") # noqa: E501 collection_formats = {} path_params = {} if 'entity_id' in local_var_params: path_params['entityId'] = local_var_params['entity_id'] # noqa: E501 query_params = [] if 'type' in local_var_params: query_params.append(('type', local_var_params['type'])) # noqa: E501 if 'options' in local_var_params: query_params.append(('options', local_var_params['options'])) # noqa: E501 header_params = {} if 'fiware_service' in local_var_params: header_params['Fiware-Service'] = local_var_params['fiware_service'] # noqa: E501 if 'fiware_service_path' in local_var_params: header_params['Fiware-ServicePath'] = local_var_params['fiware_service_path'] # noqa: E501 form_params = [] local_var_files = {} body_params = None if 'body' in local_var_params: body_params = local_var_params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth', 'BearerAuth'] # noqa: E501 return self.api_client.call_api( '/entities/{entityId}/attrs', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats)

67.965272

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0.670226

9,748

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0.0397

0.034559

0.055956

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0.011822

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76,325

1,122

1,132

68.025847

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0.033399

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0

1

0

1

0

1

0

null

0

9

a176a94ce5fdd6d4d2bf2a0940411b9533b9d75e

74

py

Python

test/type_hint_tests/torch_cuda_random.py

wenhaopeter/read_pytorch_code

491f989cd918cf08874dd4f671fb7f0142a0bc4f

[ "Intel", "X11" ]

206

2020-11-28T22:56:38.000Z

2022-03-27T02:33:04.000Z

test/type_hint_tests/torch_cuda_random.py

wenhaopeter/read_pytorch_code

491f989cd918cf08874dd4f671fb7f0142a0bc4f

[ "Intel", "X11" ]

19

2020-12-09T23:13:14.000Z

2022-01-24T23:24:08.000Z

test/type_hint_tests/torch_cuda_random.py

wenhaopeter/read_pytorch_code

491f989cd918cf08874dd4f671fb7f0142a0bc4f

[ "Intel", "X11" ]

28

2020-11-29T15:25:12.000Z

2022-01-20T02:16:27.000Z

import torch torch.cuda.manual_seed_all(0) torch.cuda.manual_seed(1007)

12.333333

29

0.810811

13

74

4.384615

0.615385

0.315789

0.526316

0.666667

0

0.073529

0.081081

74

5

30

14.8

0.764706

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true

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0.333333

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0.333333

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1

0

null

0

1

0

1

0

7

a1837f59d83519101d3380cc30925b10bba15b2e

3,407

py

Python

work2/lib/src/te941.py

thinety/te941

7e3eb22e107672fa14863c9fb60c6d8d7e3790d2

[ "MIT" ]

1

2022-03-03T02:28:54.000Z

work2/lib/src/te941.py

thinety/te941

7e3eb22e107672fa14863c9fb60c6d8d7e3790d2

[ "MIT" ]

null

work2/lib/src/te941.py

thinety/te941

7e3eb22e107672fa14863c9fb60c6d8d7e3790d2

[ "MIT" ]

null

import torch as _torch from torch import nn as _nn class NN1(_nn.Module): def __init__(self): super().__init__() self.body = _nn.Sequential( _nn.Conv2d(1, 32, kernel_size=3, stride=1, padding='same'), _nn.ReLU(), _nn.Conv2d(32, 32, kernel_size=2, stride=2), _nn.ReLU(), ) self.head = _nn.Sequential( _nn.Linear(32 * 14 * 14, 100), _nn.ReLU(), _nn.Linear(100, 10), ) def forward(self, x): x = self.body(x) x = _torch.flatten(x, start_dim=1, end_dim=-1) x = self.head(x) return x class NN2(_nn.Module): def __init__(self): super().__init__() self.body = _nn.Sequential( _nn.Conv2d(1, 32, kernel_size=5, stride=1, padding='same'), _nn.ReLU(), _nn.Conv2d(32, 32, kernel_size=2, stride=2), _nn.ReLU(), ) self.head = _nn.Sequential( _nn.Linear(32 * 14 * 14, 100), _nn.ReLU(), _nn.Linear(100, 10), ) def forward(self, x): x = self.body(x) x = _torch.flatten(x, start_dim=1, end_dim=-1) x = self.head(x) return x class NN3(_nn.Module): def __init__(self): super().__init__() self.body = _nn.Sequential( _nn.Conv2d(1, 64, kernel_size=5, stride=1, padding='same'), _nn.ReLU(), _nn.Conv2d(64, 64, kernel_size=2, stride=2), _nn.ReLU(), ) self.head = _nn.Sequential( _nn.Linear(64 * 14 * 14, 100), _nn.ReLU(), _nn.Linear(100, 10), ) def forward(self, x): x = self.body(x) x = _torch.flatten(x, start_dim=1, end_dim=-1) x = self.head(x) return x class NN4(_nn.Module): def __init__(self): super().__init__() self.body = _nn.Sequential( _nn.Conv2d(1, 32, kernel_size=3, stride=1, padding='same'), _nn.ReLU(), _nn.Conv2d(32, 32, kernel_size=2, stride=2), _nn.ReLU(), _nn.Conv2d(32, 64, kernel_size=5, stride=1, padding='same'), _nn.ReLU(), _nn.Conv2d(64, 64, kernel_size=2, stride=2), _nn.ReLU(), ) self.head = _nn.Sequential( _nn.Linear(64 * 7 * 7, 100), _nn.ReLU(), _nn.Linear(100, 10), ) def forward(self, x): x = self.body(x) x = _torch.flatten(x, start_dim=1, end_dim=-1) x = self.head(x) return x class NN5(_nn.Module): def __init__(self): super().__init__() self.body = _nn.Sequential( _nn.Conv2d(1, 32, kernel_size=3, stride=1, padding='same'), _nn.ReLU(), _nn.Conv2d(32, 32, kernel_size=2, stride=2), _nn.ReLU(), _nn.Conv2d(32, 64, kernel_size=5, stride=1, padding='same'), _nn.ReLU(), _nn.Conv2d(64, 64, kernel_size=2, stride=2), _nn.ReLU(), ) self.head = _nn.Sequential( _nn.Conv2d(64, 128, kernel_size=1, stride=1), _nn.ReLU(), _nn.Conv2d(128, 10, kernel_size=1, stride=1), ) def forward(self, x): x = self.body(x) x = self.head(x) x = _torch.mean(x, dim=[-2, -1]) return x

26.826772

72

0.493102

448

3,407

3.462054

0.102679

0.073501

0.072211

0.090264

0.920696

0.897485

0.880722

0

0.081167

0.356325

3,407

126

73

27.039683

0.626083

0

0.771429

0

0.008218

0

1

0.095238

false

0

0.019048

0

0.209524

0

null

0

1

0

1

0

null

0

7

a18c36b45d85df2e95a97a0e08b7e612369d95da

101

py

Python

src/runner/predictors/__init__.py

Tung-I/nips2019_template

a1fcf35b7633d192d2706a533731cb8c457ac230

[ "MIT" ]

null

src/runner/predictors/__init__.py

Tung-I/nips2019_template

a1fcf35b7633d192d2706a533731cb8c457ac230

[ "MIT" ]

null

src/runner/predictors/__init__.py

Tung-I/nips2019_template

a1fcf35b7633d192d2706a533731cb8c457ac230

[ "MIT" ]

null

from .vipcup_seg_predictor import VIPCUPSegPredictor from .kits_seg_predictor import KitsSegPredictor

50.5

52

0.910891

12

101

7.333333

0.666667

0.272727

0.409091

0

0.069307

101

2

53

50.5

0.93617

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

a1ad6a260b77ccfbddcb9d8e3e4cea19a630205a

3,878

py

Python

tests/test_core/test_widget_set.py

Vamporelol/py_cui

96c1c1832373821c77d51a98212721fd9a339a59

[ "BSD-3-Clause" ]

null

tests/test_core/test_widget_set.py

Vamporelol/py_cui

96c1c1832373821c77d51a98212721fd9a339a59

[ "BSD-3-Clause" ]

null

tests/test_core/test_widget_set.py

Vamporelol/py_cui

96c1c1832373821c77d51a98212721fd9a339a59

[ "BSD-3-Clause" ]

1

2021-06-16T08:56:36.000Z

import pytest # noqa import py_cui def test_create(WIDGETSET): test_widget_set = WIDGETSET(4, 5, 30, 100) assert test_widget_set._simulated_terminal == [30, 100] assert test_widget_set._height == 26 assert test_widget_set._width == 100 def test_add_scroll_menu(WIDGETSET): test_widget_set = WIDGETSET(4, 5, 30, 100) test_widget_set.add_scroll_menu('Demo', 1, 1) assert len(test_widget_set.get_widgets().keys()) == 1 for key in test_widget_set.get_widgets().keys(): assert key == 'Widget0' break widget = test_widget_set.get_widgets()['Widget0'] assert isinstance(widget, py_cui.widgets.ScrollMenu) assert widget.get_id() == 'Widget0' row, col = widget.get_grid_cell() assert row == 1 assert col == 1 def test_add_checkbox_menu(WIDGETSET): test_widget_set = WIDGETSET(4, 5, 30, 100) test_widget_set.add_checkbox_menu('Demo', 1, 1) assert len(test_widget_set.get_widgets().keys()) == 1 for key in test_widget_set.get_widgets().keys(): assert key == 'Widget0' break widget = test_widget_set.get_widgets()['Widget0'] assert isinstance(widget, py_cui.widgets.CheckBoxMenu) assert widget.get_id() == 'Widget0' row, col = widget.get_grid_cell() assert row == 1 assert col == 1 def test_add_label(WIDGETSET): test_widget_set = WIDGETSET(4, 5, 30, 100) test_widget_set.add_label('Demo', 1, 1) assert len(test_widget_set.get_widgets().keys()) == 1 for key in test_widget_set.get_widgets().keys(): assert key == 'Widget0' break widget = test_widget_set.get_widgets()['Widget0'] assert isinstance(widget, py_cui.widgets.Label) assert widget.get_id() == 'Widget0' row, col = widget.get_grid_cell() assert row == 1 assert col == 1 def test_add_block_label(WIDGETSET): test_widget_set = WIDGETSET(4, 5, 30, 100) test_widget_set.add_block_label('Demo', 1, 1) assert len(test_widget_set.get_widgets().keys()) == 1 for key in test_widget_set.get_widgets().keys(): assert key == 'Widget0' break widget = test_widget_set.get_widgets()['Widget0'] assert isinstance(widget, py_cui.widgets.BlockLabel) assert widget.get_id() == 'Widget0' row, col = widget.get_grid_cell() assert row == 1 assert col == 1 def test_add_text_box(WIDGETSET): test_widget_set = WIDGETSET(4, 5, 30, 100) test_widget_set.add_text_box('Demo', 1, 1) assert len(test_widget_set.get_widgets().keys()) == 1 for key in test_widget_set.get_widgets().keys(): assert key == 'Widget0' break widget = test_widget_set.get_widgets()['Widget0'] assert isinstance(widget, py_cui.widgets.TextBox) assert widget.get_id() == 'Widget0' row, col = widget.get_grid_cell() assert row == 1 assert col == 1 def test_add_button(WIDGETSET): test_widget_set = WIDGETSET(4, 5, 30, 100) test_widget_set.add_button('Demo', 1, 1) assert len(test_widget_set.get_widgets().keys()) == 1 for key in test_widget_set.get_widgets().keys(): assert key == 'Widget0' break widget = test_widget_set.get_widgets()['Widget0'] assert isinstance(widget, py_cui.widgets.Button) assert widget.get_id() == 'Widget0' row, col = widget.get_grid_cell() assert row == 1 assert col == 1 def test_add_text_block(WIDGETSET): test_widget_set = WIDGETSET(4, 5, 30, 100) test_widget_set.add_text_block('Demo', 1, 1) assert len(test_widget_set.get_widgets().keys()) == 1 for key in test_widget_set.get_widgets().keys(): assert key == 'Widget0' break widget = test_widget_set.get_widgets()['Widget0'] assert isinstance(widget, py_cui.widgets.ScrollTextBlock) assert widget.get_id() == 'Widget0' row, col = widget.get_grid_cell() assert row == 1 assert col == 1

33.431034

61

0.675606

566

3,878

4.339223

0.091873

0.158795

0.206433

0.136808

0.90513

0.887622

0.87215

0

0.039304

0.199587

3,878

115

62

33.721739

0.751933

0.001031

0

0.72449

0

0.045196

0

0.459184

1

0.081633

false

0

0.020408

0

0.102041

0

null

0

1

0

1

0

1

0

null

0

1

0

9

a1f5a8834bd2dc5177bbe32aae76a2226769db7e

49,859

py

Python

ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/trafficendpoint_2a9ee9d883512c1a5bdd5b6b068836f5.py

Vibaswan/ixnetwork_restpy

239fedc7050890746cbabd71ea1e91c68d9e5cad

[ "MIT" ]

null

ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/trafficendpoint_2a9ee9d883512c1a5bdd5b6b068836f5.py

Vibaswan/ixnetwork_restpy

239fedc7050890746cbabd71ea1e91c68d9e5cad

[ "MIT" ]

null

ixnetwork_restpy/testplatform/sessions/ixnetwork/vport/protocols/trafficendpoint_2a9ee9d883512c1a5bdd5b6b068836f5.py

Vibaswan/ixnetwork_restpy

239fedc7050890746cbabd71ea1e91c68d9e5cad

[ "MIT" ]

null

# MIT LICENSE # # Copyright 1997 - 2020 by IXIA Keysight # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation # the rights to use, copy, modify, merge, publish, distribute, sublicense, # and/or sell copies of the Software, and to permit persons to whom the # Software is furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. from ixnetwork_restpy.base import Base from ixnetwork_restpy.files import Files class TrafficEndPoint(Base): """Specifies the Traffic Endpoints added to the grid. The TrafficEndPoint class encapsulates a list of trafficEndPoint resources that are managed by the user. A list of resources can be retrieved from the server using the TrafficEndPoint.find() method. The list can be managed by using the TrafficEndPoint.add() and TrafficEndPoint.remove() methods. """ __slots__ = () _SDM_NAME = 'trafficEndPoint' _SDM_ATT_MAP = { 'ArpViaInterface': 'arpViaInterface', 'CustomEtherHeaderLength': 'customEtherHeaderLength', 'CustomEtherHeaderValue': 'customEtherHeaderValue', 'CustomEtherType': 'customEtherType', 'CustomIpHeaderLength': 'customIpHeaderLength', 'CustomIpHeaderValue': 'customIpHeaderValue', 'CustomIpProtocol': 'customIpProtocol', 'DestinationPort': 'destinationPort', 'EnableMacInMac': 'enableMacInMac', 'EnableVlan': 'enableVlan', 'EtherType': 'etherType', 'GatewayMac': 'gatewayMac', 'IpAddress': 'ipAddress', 'IpMask': 'ipMask', 'IpProtocol': 'ipProtocol', 'IpTos': 'ipTos', 'Ipv4Dscp': 'ipv4Dscp', 'Ipv4Ecn': 'ipv4Ecn', 'Ipv6Address': 'ipv6Address', 'Ipv6AddressMask': 'ipv6AddressMask', 'Ipv6CustomHeaderLength': 'ipv6CustomHeaderLength', 'Ipv6CustomHeaderValue': 'ipv6CustomHeaderValue', 'Ipv6CustomNextHeader': 'ipv6CustomNextHeader', 'Ipv6Dscp': 'ipv6Dscp', 'Ipv6Ecn': 'ipv6Ecn', 'Ipv6FlowLabel': 'ipv6FlowLabel', 'Ipv6NextHeader': 'ipv6NextHeader', 'MacAddress': 'macAddress', 'MplsInnerMacSource': 'mplsInnerMacSource', 'MplsInnerVlanId': 'mplsInnerVlanId', 'MplsInnerVlanPriority': 'mplsInnerVlanPriority', 'MplsLabel': 'mplsLabel', 'MplsLabelStackSize': 'mplsLabelStackSize', 'MplsPayloadType': 'mplsPayloadType', 'MplsTrafficClass': 'mplsTrafficClass', 'Name': 'name', 'PbbDestinamtionMac': 'pbbDestinamtionMac', 'PbbEtherType': 'pbbEtherType', 'PbbIsId': 'pbbIsId', 'PbbSourceMac': 'pbbSourceMac', 'PbbVlanId': 'pbbVlanId', 'PbbVlanPcp': 'pbbVlanPcp', 'ProtocolInterface': 'protocolInterface', 'RangeSize': 'rangeSize', 'SourcePort': 'sourcePort', 'UdpDestination': 'udpDestination', 'UdpSource': 'udpSource', 'VlanCount': 'vlanCount', 'VlanId': 'vlanId', 'VlanPriority': 'vlanPriority', } def __init__(self, parent): super(TrafficEndPoint, self).__init__(parent) @property def ArpViaInterface(self): """DEPRECATED Returns ------- - bool: If true, ARP request is conveyed through an Interface. """ return self._get_attribute(self._SDM_ATT_MAP['ArpViaInterface']) @ArpViaInterface.setter def ArpViaInterface(self, value): self._set_attribute(self._SDM_ATT_MAP['ArpViaInterface'], value) @property def CustomEtherHeaderLength(self): """DEPRECATED Returns ------- - number: Specifies the Custom Header length in bytes. """ return self._get_attribute(self._SDM_ATT_MAP['CustomEtherHeaderLength']) @CustomEtherHeaderLength.setter def CustomEtherHeaderLength(self, value): self._set_attribute(self._SDM_ATT_MAP['CustomEtherHeaderLength'], value) @property def CustomEtherHeaderValue(self): """DEPRECATED Returns ------- - str: Specifies the Custom ether Header value. """ return self._get_attribute(self._SDM_ATT_MAP['CustomEtherHeaderValue']) @CustomEtherHeaderValue.setter def CustomEtherHeaderValue(self, value): self._set_attribute(self._SDM_ATT_MAP['CustomEtherHeaderValue'], value) @property def CustomEtherType(self): """DEPRECATED Returns ------- - str: Specifies the custom Ether Type. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. """ return self._get_attribute(self._SDM_ATT_MAP['CustomEtherType']) @CustomEtherType.setter def CustomEtherType(self, value): self._set_attribute(self._SDM_ATT_MAP['CustomEtherType'], value) @property def CustomIpHeaderLength(self): """DEPRECATED Returns ------- - number: Specifies the custom Header length in bytes. """ return self._get_attribute(self._SDM_ATT_MAP['CustomIpHeaderLength']) @CustomIpHeaderLength.setter def CustomIpHeaderLength(self, value): self._set_attribute(self._SDM_ATT_MAP['CustomIpHeaderLength'], value) @property def CustomIpHeaderValue(self): """DEPRECATED Returns ------- - str: Specifies the Custom Header value. """ return self._get_attribute(self._SDM_ATT_MAP['CustomIpHeaderValue']) @CustomIpHeaderValue.setter def CustomIpHeaderValue(self, value): self._set_attribute(self._SDM_ATT_MAP['CustomIpHeaderValue'], value) @property def CustomIpProtocol(self): """DEPRECATED Returns ------- - str: Specifies the custom IP Protocol for the Source Traffic Endpoints. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. """ return self._get_attribute(self._SDM_ATT_MAP['CustomIpProtocol']) @CustomIpProtocol.setter def CustomIpProtocol(self, value): self._set_attribute(self._SDM_ATT_MAP['CustomIpProtocol'], value) @property def DestinationPort(self): """DEPRECATED Returns ------- - str: Specifies the transport destination port. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. """ return self._get_attribute(self._SDM_ATT_MAP['DestinationPort']) @DestinationPort.setter def DestinationPort(self, value): self._set_attribute(self._SDM_ATT_MAP['DestinationPort'], value) @property def EnableMacInMac(self): """DEPRECATED Returns ------- - bool: Enables the PBB-specific fields. """ return self._get_attribute(self._SDM_ATT_MAP['EnableMacInMac']) @EnableMacInMac.setter def EnableMacInMac(self, value): self._set_attribute(self._SDM_ATT_MAP['EnableMacInMac'], value) @property def EnableVlan(self): """DEPRECATED Returns ------- - bool: If enabled, VLAN is available. """ return self._get_attribute(self._SDM_ATT_MAP['EnableVlan']) @EnableVlan.setter def EnableVlan(self, value): self._set_attribute(self._SDM_ATT_MAP['EnableVlan'], value) @property def EtherType(self): """DEPRECATED Returns ------- - str(custom | ipv4 | ipv6 | mplsUnicast): Specifies the Ether Type to be used. """ return self._get_attribute(self._SDM_ATT_MAP['EtherType']) @EtherType.setter def EtherType(self, value): self._set_attribute(self._SDM_ATT_MAP['EtherType'], value) @property def GatewayMac(self): """DEPRECATED Returns ------- - str: Specifies the Gateway MAC address of the source traffic endpoint. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. """ return self._get_attribute(self._SDM_ATT_MAP['GatewayMac']) @GatewayMac.setter def GatewayMac(self, value): self._set_attribute(self._SDM_ATT_MAP['GatewayMac'], value) @property def IpAddress(self): """DEPRECATED Returns ------- - str: Specifies the IPv4 address of the Source Traffic Endpoint. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. """ return self._get_attribute(self._SDM_ATT_MAP['IpAddress']) @IpAddress.setter def IpAddress(self, value): self._set_attribute(self._SDM_ATT_MAP['IpAddress'], value) @property def IpMask(self): """DEPRECATED Returns ------- - number: Specifies the Mask value. """ return self._get_attribute(self._SDM_ATT_MAP['IpMask']) @IpMask.setter def IpMask(self, value): self._set_attribute(self._SDM_ATT_MAP['IpMask'], value) @property def IpProtocol(self): """DEPRECATED Returns ------- - str(custom | tcp | udp): Specifies the IP Protocol to be used. """ return self._get_attribute(self._SDM_ATT_MAP['IpProtocol']) @IpProtocol.setter def IpProtocol(self, value): self._set_attribute(self._SDM_ATT_MAP['IpProtocol'], value) @property def IpTos(self): """DEPRECATED Returns ------- - str: Specifies the Terms of Service of the IP Protocol. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. """ return self._get_attribute(self._SDM_ATT_MAP['IpTos']) @IpTos.setter def IpTos(self, value): self._set_attribute(self._SDM_ATT_MAP['IpTos'], value) @property def Ipv4Dscp(self): """DEPRECATED Returns ------- - str: Specifies value of Ipv4 DSCP field. """ return self._get_attribute(self._SDM_ATT_MAP['Ipv4Dscp']) @Ipv4Dscp.setter def Ipv4Dscp(self, value): self._set_attribute(self._SDM_ATT_MAP['Ipv4Dscp'], value) @property def Ipv4Ecn(self): """DEPRECATED Returns ------- - str: Specifies the IPv4 ECN field, which is actually the last 2 bits of ToS field. """ return self._get_attribute(self._SDM_ATT_MAP['Ipv4Ecn']) @Ipv4Ecn.setter def Ipv4Ecn(self, value): self._set_attribute(self._SDM_ATT_MAP['Ipv4Ecn'], value) @property def Ipv6Address(self): """DEPRECATED Returns ------- - str: Specifies the IPv6 address to be used in the traffic endpoint. """ return self._get_attribute(self._SDM_ATT_MAP['Ipv6Address']) @Ipv6Address.setter def Ipv6Address(self, value): self._set_attribute(self._SDM_ATT_MAP['Ipv6Address'], value) @property def Ipv6AddressMask(self): """DEPRECATED Returns ------- - number: Specifies the mask of IPv6 address """ return self._get_attribute(self._SDM_ATT_MAP['Ipv6AddressMask']) @Ipv6AddressMask.setter def Ipv6AddressMask(self, value): self._set_attribute(self._SDM_ATT_MAP['Ipv6AddressMask'], value) @property def Ipv6CustomHeaderLength(self): """DEPRECATED Returns ------- - number: Specifies the IPv6 custom header length. This indicates the number of bytes in the field IPv6 custom header Value. """ return self._get_attribute(self._SDM_ATT_MAP['Ipv6CustomHeaderLength']) @Ipv6CustomHeaderLength.setter def Ipv6CustomHeaderLength(self, value): self._set_attribute(self._SDM_ATT_MAP['Ipv6CustomHeaderLength'], value) @property def Ipv6CustomHeaderValue(self): """DEPRECATED Returns ------- - str: Specifies the IPv6 custom header value. This is populated with hexadecimal byte string containing the protocol header content. """ return self._get_attribute(self._SDM_ATT_MAP['Ipv6CustomHeaderValue']) @Ipv6CustomHeaderValue.setter def Ipv6CustomHeaderValue(self, value): self._set_attribute(self._SDM_ATT_MAP['Ipv6CustomHeaderValue'], value) @property def Ipv6CustomNextHeader(self): """DEPRECATED Returns ------- - str: Specifies the custom IPv6 Next header. This has dependency on the field IPv6 Next Header which should be set to custom. It actually specifies the protocol type of header, the actual content and length of protocol header is specified in other fields. Using this custom header, user can send any other protocol header except TCP/UDP. """ return self._get_attribute(self._SDM_ATT_MAP['Ipv6CustomNextHeader']) @Ipv6CustomNextHeader.setter def Ipv6CustomNextHeader(self, value): self._set_attribute(self._SDM_ATT_MAP['Ipv6CustomNextHeader'], value) @property def Ipv6Dscp(self): """DEPRECATED Returns ------- - str: Specifies the IPv6 DSCP field. This is the set of first 6 bits of the ToS field. """ return self._get_attribute(self._SDM_ATT_MAP['Ipv6Dscp']) @Ipv6Dscp.setter def Ipv6Dscp(self, value): self._set_attribute(self._SDM_ATT_MAP['Ipv6Dscp'], value) @property def Ipv6Ecn(self): """DEPRECATED Returns ------- - str: Specifies the IPv6 ECN field, which is actually the last 2 bits of ToS field. """ return self._get_attribute(self._SDM_ATT_MAP['Ipv6Ecn']) @Ipv6Ecn.setter def Ipv6Ecn(self, value): self._set_attribute(self._SDM_ATT_MAP['Ipv6Ecn'], value) @property def Ipv6FlowLabel(self): """DEPRECATED Returns ------- - str: Specifies the IPv6 flow label field. """ return self._get_attribute(self._SDM_ATT_MAP['Ipv6FlowLabel']) @Ipv6FlowLabel.setter def Ipv6FlowLabel(self, value): self._set_attribute(self._SDM_ATT_MAP['Ipv6FlowLabel'], value) @property def Ipv6NextHeader(self): """DEPRECATED Returns ------- - str(custom | tcp | udp): Specifies the IPv6 Next header. It can be TCP, UDP or a custom header. """ return self._get_attribute(self._SDM_ATT_MAP['Ipv6NextHeader']) @Ipv6NextHeader.setter def Ipv6NextHeader(self, value): self._set_attribute(self._SDM_ATT_MAP['Ipv6NextHeader'], value) @property def MacAddress(self): """DEPRECATED Returns ------- - str: Specifies the MAC Address of the source traffic endpoint. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. """ return self._get_attribute(self._SDM_ATT_MAP['MacAddress']) @MacAddress.setter def MacAddress(self, value): self._set_attribute(self._SDM_ATT_MAP['MacAddress'], value) @property def MplsInnerMacSource(self): """DEPRECATED Returns ------- - str: Specifies the Inner MAC source of MPLS. Applicable when the MPLS payload type is ethernet. """ return self._get_attribute(self._SDM_ATT_MAP['MplsInnerMacSource']) @MplsInnerMacSource.setter def MplsInnerMacSource(self, value): self._set_attribute(self._SDM_ATT_MAP['MplsInnerMacSource'], value) @property def MplsInnerVlanId(self): """DEPRECATED Returns ------- - str: Specifies the inner VLAN ID. Applicable when the MPLS payload type is ethernet. """ return self._get_attribute(self._SDM_ATT_MAP['MplsInnerVlanId']) @MplsInnerVlanId.setter def MplsInnerVlanId(self, value): self._set_attribute(self._SDM_ATT_MAP['MplsInnerVlanId'], value) @property def MplsInnerVlanPriority(self): """DEPRECATED Returns ------- - str: Specifies the Inner VLAN priority. Applicable when the MPLS payload type is ethernet. """ return self._get_attribute(self._SDM_ATT_MAP['MplsInnerVlanPriority']) @MplsInnerVlanPriority.setter def MplsInnerVlanPriority(self, value): self._set_attribute(self._SDM_ATT_MAP['MplsInnerVlanPriority'], value) @property def MplsLabel(self): """DEPRECATED Returns ------- - str: Value of the MPLS label field. """ return self._get_attribute(self._SDM_ATT_MAP['MplsLabel']) @MplsLabel.setter def MplsLabel(self, value): self._set_attribute(self._SDM_ATT_MAP['MplsLabel'], value) @property def MplsLabelStackSize(self): """DEPRECATED Returns ------- - number: Specifies the MPLS label stack size. Indicates the number of MPLS tage that are appended. Can take a max of 3. """ return self._get_attribute(self._SDM_ATT_MAP['MplsLabelStackSize']) @MplsLabelStackSize.setter def MplsLabelStackSize(self, value): self._set_attribute(self._SDM_ATT_MAP['MplsLabelStackSize'], value) @property def MplsPayloadType(self): """DEPRECATED Returns ------- - str(ethernet | ipv4 | ipv6): Specifies the payload type in MPLS. Can be IPv4/IPv6 (L3) or Ethernet (L2). """ return self._get_attribute(self._SDM_ATT_MAP['MplsPayloadType']) @MplsPayloadType.setter def MplsPayloadType(self, value): self._set_attribute(self._SDM_ATT_MAP['MplsPayloadType'], value) @property def MplsTrafficClass(self): """DEPRECATED Returns ------- - str: Specifies the MPLS traffic class. """ return self._get_attribute(self._SDM_ATT_MAP['MplsTrafficClass']) @MplsTrafficClass.setter def MplsTrafficClass(self, value): self._set_attribute(self._SDM_ATT_MAP['MplsTrafficClass'], value) @property def Name(self): """DEPRECATED Returns ------- - str: Specifies the name of the Traffic endpoint. """ return self._get_attribute(self._SDM_ATT_MAP['Name']) @Name.setter def Name(self, value): self._set_attribute(self._SDM_ATT_MAP['Name'], value) @property def PbbDestinamtionMac(self): """DEPRECATED Returns ------- - str: Specifies the B-Destination MAC. """ return self._get_attribute(self._SDM_ATT_MAP['PbbDestinamtionMac']) @PbbDestinamtionMac.setter def PbbDestinamtionMac(self, value): self._set_attribute(self._SDM_ATT_MAP['PbbDestinamtionMac'], value) @property def PbbEtherType(self): """DEPRECATED Returns ------- - str(bEtherType8100 | bEtherType88A8 | bEtherType88E7 | bEtherType9100 | bEtherType9200): Specifies the B-Ether Type. """ return self._get_attribute(self._SDM_ATT_MAP['PbbEtherType']) @PbbEtherType.setter def PbbEtherType(self, value): self._set_attribute(self._SDM_ATT_MAP['PbbEtherType'], value) @property def PbbIsId(self): """DEPRECATED Returns ------- - str: Value of the PBB I-SID field. """ return self._get_attribute(self._SDM_ATT_MAP['PbbIsId']) @PbbIsId.setter def PbbIsId(self, value): self._set_attribute(self._SDM_ATT_MAP['PbbIsId'], value) @property def PbbSourceMac(self): """DEPRECATED Returns ------- - str: Specifies the B-Source MAC. """ return self._get_attribute(self._SDM_ATT_MAP['PbbSourceMac']) @PbbSourceMac.setter def PbbSourceMac(self, value): self._set_attribute(self._SDM_ATT_MAP['PbbSourceMac'], value) @property def PbbVlanId(self): """DEPRECATED Returns ------- - str: Specifies the B-VLAN ID. """ return self._get_attribute(self._SDM_ATT_MAP['PbbVlanId']) @PbbVlanId.setter def PbbVlanId(self, value): self._set_attribute(self._SDM_ATT_MAP['PbbVlanId'], value) @property def PbbVlanPcp(self): """DEPRECATED Returns ------- - str: Specifies the B-VLAN priority. """ return self._get_attribute(self._SDM_ATT_MAP['PbbVlanPcp']) @PbbVlanPcp.setter def PbbVlanPcp(self, value): self._set_attribute(self._SDM_ATT_MAP['PbbVlanPcp'], value) @property def ProtocolInterface(self): """DEPRECATED Returns ------- - str(None | /api/v1/sessions/1/ixnetwork/vport/.../interface): Specifies the name of the protocol interface being used for this OpenFlow configuration. """ return self._get_attribute(self._SDM_ATT_MAP['ProtocolInterface']) @ProtocolInterface.setter def ProtocolInterface(self, value): self._set_attribute(self._SDM_ATT_MAP['ProtocolInterface'], value) @property def RangeSize(self): """DEPRECATED Returns ------- - number: Specifies the size of the traffic range. """ return self._get_attribute(self._SDM_ATT_MAP['RangeSize']) @RangeSize.setter def RangeSize(self, value): self._set_attribute(self._SDM_ATT_MAP['RangeSize'], value) @property def SourcePort(self): """DEPRECATED Returns ------- - str: Specifies the transport source port. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. """ return self._get_attribute(self._SDM_ATT_MAP['SourcePort']) @SourcePort.setter def SourcePort(self, value): self._set_attribute(self._SDM_ATT_MAP['SourcePort'], value) @property def UdpDestination(self): """DEPRECATED Returns ------- - str: Value of the UDP destination field. """ return self._get_attribute(self._SDM_ATT_MAP['UdpDestination']) @UdpDestination.setter def UdpDestination(self, value): self._set_attribute(self._SDM_ATT_MAP['UdpDestination'], value) @property def UdpSource(self): """DEPRECATED Returns ------- - str: Value of the UDP source field. """ return self._get_attribute(self._SDM_ATT_MAP['UdpSource']) @UdpSource.setter def UdpSource(self, value): self._set_attribute(self._SDM_ATT_MAP['UdpSource'], value) @property def VlanCount(self): """DEPRECATED Returns ------- - number: Specifies the VLAN Count. """ return self._get_attribute(self._SDM_ATT_MAP['VlanCount']) @VlanCount.setter def VlanCount(self, value): self._set_attribute(self._SDM_ATT_MAP['VlanCount'], value) @property def VlanId(self): """DEPRECATED Returns ------- - str: Specifies the VLAN ID. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. """ return self._get_attribute(self._SDM_ATT_MAP['VlanId']) @VlanId.setter def VlanId(self, value): self._set_attribute(self._SDM_ATT_MAP['VlanId'], value) @property def VlanPriority(self): """DEPRECATED Returns ------- - str: Specifies the VLAN Priority. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. """ return self._get_attribute(self._SDM_ATT_MAP['VlanPriority']) @VlanPriority.setter def VlanPriority(self, value): self._set_attribute(self._SDM_ATT_MAP['VlanPriority'], value) def update(self, ArpViaInterface=None, CustomEtherHeaderLength=None, CustomEtherHeaderValue=None, CustomEtherType=None, CustomIpHeaderLength=None, CustomIpHeaderValue=None, CustomIpProtocol=None, DestinationPort=None, EnableMacInMac=None, EnableVlan=None, EtherType=None, GatewayMac=None, IpAddress=None, IpMask=None, IpProtocol=None, IpTos=None, Ipv4Dscp=None, Ipv4Ecn=None, Ipv6Address=None, Ipv6AddressMask=None, Ipv6CustomHeaderLength=None, Ipv6CustomHeaderValue=None, Ipv6CustomNextHeader=None, Ipv6Dscp=None, Ipv6Ecn=None, Ipv6FlowLabel=None, Ipv6NextHeader=None, MacAddress=None, MplsInnerMacSource=None, MplsInnerVlanId=None, MplsInnerVlanPriority=None, MplsLabel=None, MplsLabelStackSize=None, MplsPayloadType=None, MplsTrafficClass=None, Name=None, PbbDestinamtionMac=None, PbbEtherType=None, PbbIsId=None, PbbSourceMac=None, PbbVlanId=None, PbbVlanPcp=None, ProtocolInterface=None, RangeSize=None, SourcePort=None, UdpDestination=None, UdpSource=None, VlanCount=None, VlanId=None, VlanPriority=None): """Updates trafficEndPoint resource on the server. Args ---- - ArpViaInterface (bool): If true, ARP request is conveyed through an Interface. - CustomEtherHeaderLength (number): Specifies the Custom Header length in bytes. - CustomEtherHeaderValue (str): Specifies the Custom ether Header value. - CustomEtherType (str): Specifies the custom Ether Type. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - CustomIpHeaderLength (number): Specifies the custom Header length in bytes. - CustomIpHeaderValue (str): Specifies the Custom Header value. - CustomIpProtocol (str): Specifies the custom IP Protocol for the Source Traffic Endpoints. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - DestinationPort (str): Specifies the transport destination port. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - EnableMacInMac (bool): Enables the PBB-specific fields. - EnableVlan (bool): If enabled, VLAN is available. - EtherType (str(custom | ipv4 | ipv6 | mplsUnicast)): Specifies the Ether Type to be used. - GatewayMac (str): Specifies the Gateway MAC address of the source traffic endpoint. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - IpAddress (str): Specifies the IPv4 address of the Source Traffic Endpoint. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - IpMask (number): Specifies the Mask value. - IpProtocol (str(custom | tcp | udp)): Specifies the IP Protocol to be used. - IpTos (str): Specifies the Terms of Service of the IP Protocol. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - Ipv4Dscp (str): Specifies value of Ipv4 DSCP field. - Ipv4Ecn (str): Specifies the IPv4 ECN field, which is actually the last 2 bits of ToS field. - Ipv6Address (str): Specifies the IPv6 address to be used in the traffic endpoint. - Ipv6AddressMask (number): Specifies the mask of IPv6 address - Ipv6CustomHeaderLength (number): Specifies the IPv6 custom header length. This indicates the number of bytes in the field IPv6 custom header Value. - Ipv6CustomHeaderValue (str): Specifies the IPv6 custom header value. This is populated with hexadecimal byte string containing the protocol header content. - Ipv6CustomNextHeader (str): Specifies the custom IPv6 Next header. This has dependency on the field IPv6 Next Header which should be set to custom. It actually specifies the protocol type of header, the actual content and length of protocol header is specified in other fields. Using this custom header, user can send any other protocol header except TCP/UDP. - Ipv6Dscp (str): Specifies the IPv6 DSCP field. This is the set of first 6 bits of the ToS field. - Ipv6Ecn (str): Specifies the IPv6 ECN field, which is actually the last 2 bits of ToS field. - Ipv6FlowLabel (str): Specifies the IPv6 flow label field. - Ipv6NextHeader (str(custom | tcp | udp)): Specifies the IPv6 Next header. It can be TCP, UDP or a custom header. - MacAddress (str): Specifies the MAC Address of the source traffic endpoint. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - MplsInnerMacSource (str): Specifies the Inner MAC source of MPLS. Applicable when the MPLS payload type is ethernet. - MplsInnerVlanId (str): Specifies the inner VLAN ID. Applicable when the MPLS payload type is ethernet. - MplsInnerVlanPriority (str): Specifies the Inner VLAN priority. Applicable when the MPLS payload type is ethernet. - MplsLabel (str): Value of the MPLS label field. - MplsLabelStackSize (number): Specifies the MPLS label stack size. Indicates the number of MPLS tage that are appended. Can take a max of 3. - MplsPayloadType (str(ethernet | ipv4 | ipv6)): Specifies the payload type in MPLS. Can be IPv4/IPv6 (L3) or Ethernet (L2). - MplsTrafficClass (str): Specifies the MPLS traffic class. - Name (str): Specifies the name of the Traffic endpoint. - PbbDestinamtionMac (str): Specifies the B-Destination MAC. - PbbEtherType (str(bEtherType8100 | bEtherType88A8 | bEtherType88E7 | bEtherType9100 | bEtherType9200)): Specifies the B-Ether Type. - PbbIsId (str): Value of the PBB I-SID field. - PbbSourceMac (str): Specifies the B-Source MAC. - PbbVlanId (str): Specifies the B-VLAN ID. - PbbVlanPcp (str): Specifies the B-VLAN priority. - ProtocolInterface (str(None | /api/v1/sessions/1/ixnetwork/vport/.../interface)): Specifies the name of the protocol interface being used for this OpenFlow configuration. - RangeSize (number): Specifies the size of the traffic range. - SourcePort (str): Specifies the transport source port. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - UdpDestination (str): Value of the UDP destination field. - UdpSource (str): Value of the UDP source field. - VlanCount (number): Specifies the VLAN Count. - VlanId (str): Specifies the VLAN ID. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - VlanPriority (str): Specifies the VLAN Priority. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._update(self._map_locals(self._SDM_ATT_MAP, locals())) def add(self, ArpViaInterface=None, CustomEtherHeaderLength=None, CustomEtherHeaderValue=None, CustomEtherType=None, CustomIpHeaderLength=None, CustomIpHeaderValue=None, CustomIpProtocol=None, DestinationPort=None, EnableMacInMac=None, EnableVlan=None, EtherType=None, GatewayMac=None, IpAddress=None, IpMask=None, IpProtocol=None, IpTos=None, Ipv4Dscp=None, Ipv4Ecn=None, Ipv6Address=None, Ipv6AddressMask=None, Ipv6CustomHeaderLength=None, Ipv6CustomHeaderValue=None, Ipv6CustomNextHeader=None, Ipv6Dscp=None, Ipv6Ecn=None, Ipv6FlowLabel=None, Ipv6NextHeader=None, MacAddress=None, MplsInnerMacSource=None, MplsInnerVlanId=None, MplsInnerVlanPriority=None, MplsLabel=None, MplsLabelStackSize=None, MplsPayloadType=None, MplsTrafficClass=None, Name=None, PbbDestinamtionMac=None, PbbEtherType=None, PbbIsId=None, PbbSourceMac=None, PbbVlanId=None, PbbVlanPcp=None, ProtocolInterface=None, RangeSize=None, SourcePort=None, UdpDestination=None, UdpSource=None, VlanCount=None, VlanId=None, VlanPriority=None): """Adds a new trafficEndPoint resource on the server and adds it to the container. Args ---- - ArpViaInterface (bool): If true, ARP request is conveyed through an Interface. - CustomEtherHeaderLength (number): Specifies the Custom Header length in bytes. - CustomEtherHeaderValue (str): Specifies the Custom ether Header value. - CustomEtherType (str): Specifies the custom Ether Type. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - CustomIpHeaderLength (number): Specifies the custom Header length in bytes. - CustomIpHeaderValue (str): Specifies the Custom Header value. - CustomIpProtocol (str): Specifies the custom IP Protocol for the Source Traffic Endpoints. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - DestinationPort (str): Specifies the transport destination port. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - EnableMacInMac (bool): Enables the PBB-specific fields. - EnableVlan (bool): If enabled, VLAN is available. - EtherType (str(custom | ipv4 | ipv6 | mplsUnicast)): Specifies the Ether Type to be used. - GatewayMac (str): Specifies the Gateway MAC address of the source traffic endpoint. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - IpAddress (str): Specifies the IPv4 address of the Source Traffic Endpoint. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - IpMask (number): Specifies the Mask value. - IpProtocol (str(custom | tcp | udp)): Specifies the IP Protocol to be used. - IpTos (str): Specifies the Terms of Service of the IP Protocol. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - Ipv4Dscp (str): Specifies value of Ipv4 DSCP field. - Ipv4Ecn (str): Specifies the IPv4 ECN field, which is actually the last 2 bits of ToS field. - Ipv6Address (str): Specifies the IPv6 address to be used in the traffic endpoint. - Ipv6AddressMask (number): Specifies the mask of IPv6 address - Ipv6CustomHeaderLength (number): Specifies the IPv6 custom header length. This indicates the number of bytes in the field IPv6 custom header Value. - Ipv6CustomHeaderValue (str): Specifies the IPv6 custom header value. This is populated with hexadecimal byte string containing the protocol header content. - Ipv6CustomNextHeader (str): Specifies the custom IPv6 Next header. This has dependency on the field IPv6 Next Header which should be set to custom. It actually specifies the protocol type of header, the actual content and length of protocol header is specified in other fields. Using this custom header, user can send any other protocol header except TCP/UDP. - Ipv6Dscp (str): Specifies the IPv6 DSCP field. This is the set of first 6 bits of the ToS field. - Ipv6Ecn (str): Specifies the IPv6 ECN field, which is actually the last 2 bits of ToS field. - Ipv6FlowLabel (str): Specifies the IPv6 flow label field. - Ipv6NextHeader (str(custom | tcp | udp)): Specifies the IPv6 Next header. It can be TCP, UDP or a custom header. - MacAddress (str): Specifies the MAC Address of the source traffic endpoint. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - MplsInnerMacSource (str): Specifies the Inner MAC source of MPLS. Applicable when the MPLS payload type is ethernet. - MplsInnerVlanId (str): Specifies the inner VLAN ID. Applicable when the MPLS payload type is ethernet. - MplsInnerVlanPriority (str): Specifies the Inner VLAN priority. Applicable when the MPLS payload type is ethernet. - MplsLabel (str): Value of the MPLS label field. - MplsLabelStackSize (number): Specifies the MPLS label stack size. Indicates the number of MPLS tage that are appended. Can take a max of 3. - MplsPayloadType (str(ethernet | ipv4 | ipv6)): Specifies the payload type in MPLS. Can be IPv4/IPv6 (L3) or Ethernet (L2). - MplsTrafficClass (str): Specifies the MPLS traffic class. - Name (str): Specifies the name of the Traffic endpoint. - PbbDestinamtionMac (str): Specifies the B-Destination MAC. - PbbEtherType (str(bEtherType8100 | bEtherType88A8 | bEtherType88E7 | bEtherType9100 | bEtherType9200)): Specifies the B-Ether Type. - PbbIsId (str): Value of the PBB I-SID field. - PbbSourceMac (str): Specifies the B-Source MAC. - PbbVlanId (str): Specifies the B-VLAN ID. - PbbVlanPcp (str): Specifies the B-VLAN priority. - ProtocolInterface (str(None | /api/v1/sessions/1/ixnetwork/vport/.../interface)): Specifies the name of the protocol interface being used for this OpenFlow configuration. - RangeSize (number): Specifies the size of the traffic range. - SourcePort (str): Specifies the transport source port. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - UdpDestination (str): Value of the UDP destination field. - UdpSource (str): Value of the UDP source field. - VlanCount (number): Specifies the VLAN Count. - VlanId (str): Specifies the VLAN ID. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - VlanPriority (str): Specifies the VLAN Priority. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. Returns ------- - self: This instance with all currently retrieved trafficEndPoint resources using find and the newly added trafficEndPoint resources available through an iterator or index Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._create(self._map_locals(self._SDM_ATT_MAP, locals())) def remove(self): """Deletes all the contained trafficEndPoint resources in this instance from the server. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ self._delete() def find(self, ArpViaInterface=None, CustomEtherHeaderLength=None, CustomEtherHeaderValue=None, CustomEtherType=None, CustomIpHeaderLength=None, CustomIpHeaderValue=None, CustomIpProtocol=None, DestinationPort=None, EnableMacInMac=None, EnableVlan=None, EtherType=None, GatewayMac=None, IpAddress=None, IpMask=None, IpProtocol=None, IpTos=None, Ipv4Dscp=None, Ipv4Ecn=None, Ipv6Address=None, Ipv6AddressMask=None, Ipv6CustomHeaderLength=None, Ipv6CustomHeaderValue=None, Ipv6CustomNextHeader=None, Ipv6Dscp=None, Ipv6Ecn=None, Ipv6FlowLabel=None, Ipv6NextHeader=None, MacAddress=None, MplsInnerMacSource=None, MplsInnerVlanId=None, MplsInnerVlanPriority=None, MplsLabel=None, MplsLabelStackSize=None, MplsPayloadType=None, MplsTrafficClass=None, Name=None, PbbDestinamtionMac=None, PbbEtherType=None, PbbIsId=None, PbbSourceMac=None, PbbVlanId=None, PbbVlanPcp=None, ProtocolInterface=None, RangeSize=None, SourcePort=None, UdpDestination=None, UdpSource=None, VlanCount=None, VlanId=None, VlanPriority=None): """Finds and retrieves trafficEndPoint resources from the server. All named parameters are evaluated on the server using regex. The named parameters can be used to selectively retrieve trafficEndPoint resources from the server. To retrieve an exact match ensure the parameter value starts with ^ and ends with $ By default the find method takes no parameters and will retrieve all trafficEndPoint resources from the server. Args ---- - ArpViaInterface (bool): If true, ARP request is conveyed through an Interface. - CustomEtherHeaderLength (number): Specifies the Custom Header length in bytes. - CustomEtherHeaderValue (str): Specifies the Custom ether Header value. - CustomEtherType (str): Specifies the custom Ether Type. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - CustomIpHeaderLength (number): Specifies the custom Header length in bytes. - CustomIpHeaderValue (str): Specifies the Custom Header value. - CustomIpProtocol (str): Specifies the custom IP Protocol for the Source Traffic Endpoints. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - DestinationPort (str): Specifies the transport destination port. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - EnableMacInMac (bool): Enables the PBB-specific fields. - EnableVlan (bool): If enabled, VLAN is available. - EtherType (str(custom | ipv4 | ipv6 | mplsUnicast)): Specifies the Ether Type to be used. - GatewayMac (str): Specifies the Gateway MAC address of the source traffic endpoint. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - IpAddress (str): Specifies the IPv4 address of the Source Traffic Endpoint. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - IpMask (number): Specifies the Mask value. - IpProtocol (str(custom | tcp | udp)): Specifies the IP Protocol to be used. - IpTos (str): Specifies the Terms of Service of the IP Protocol. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - Ipv4Dscp (str): Specifies value of Ipv4 DSCP field. - Ipv4Ecn (str): Specifies the IPv4 ECN field, which is actually the last 2 bits of ToS field. - Ipv6Address (str): Specifies the IPv6 address to be used in the traffic endpoint. - Ipv6AddressMask (number): Specifies the mask of IPv6 address - Ipv6CustomHeaderLength (number): Specifies the IPv6 custom header length. This indicates the number of bytes in the field IPv6 custom header Value. - Ipv6CustomHeaderValue (str): Specifies the IPv6 custom header value. This is populated with hexadecimal byte string containing the protocol header content. - Ipv6CustomNextHeader (str): Specifies the custom IPv6 Next header. This has dependency on the field IPv6 Next Header which should be set to custom. It actually specifies the protocol type of header, the actual content and length of protocol header is specified in other fields. Using this custom header, user can send any other protocol header except TCP/UDP. - Ipv6Dscp (str): Specifies the IPv6 DSCP field. This is the set of first 6 bits of the ToS field. - Ipv6Ecn (str): Specifies the IPv6 ECN field, which is actually the last 2 bits of ToS field. - Ipv6FlowLabel (str): Specifies the IPv6 flow label field. - Ipv6NextHeader (str(custom | tcp | udp)): Specifies the IPv6 Next header. It can be TCP, UDP or a custom header. - MacAddress (str): Specifies the MAC Address of the source traffic endpoint. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - MplsInnerMacSource (str): Specifies the Inner MAC source of MPLS. Applicable when the MPLS payload type is ethernet. - MplsInnerVlanId (str): Specifies the inner VLAN ID. Applicable when the MPLS payload type is ethernet. - MplsInnerVlanPriority (str): Specifies the Inner VLAN priority. Applicable when the MPLS payload type is ethernet. - MplsLabel (str): Value of the MPLS label field. - MplsLabelStackSize (number): Specifies the MPLS label stack size. Indicates the number of MPLS tage that are appended. Can take a max of 3. - MplsPayloadType (str(ethernet | ipv4 | ipv6)): Specifies the payload type in MPLS. Can be IPv4/IPv6 (L3) or Ethernet (L2). - MplsTrafficClass (str): Specifies the MPLS traffic class. - Name (str): Specifies the name of the Traffic endpoint. - PbbDestinamtionMac (str): Specifies the B-Destination MAC. - PbbEtherType (str(bEtherType8100 | bEtherType88A8 | bEtherType88E7 | bEtherType9100 | bEtherType9200)): Specifies the B-Ether Type. - PbbIsId (str): Value of the PBB I-SID field. - PbbSourceMac (str): Specifies the B-Source MAC. - PbbVlanId (str): Specifies the B-VLAN ID. - PbbVlanPcp (str): Specifies the B-VLAN priority. - ProtocolInterface (str(None | /api/v1/sessions/1/ixnetwork/vport/.../interface)): Specifies the name of the protocol interface being used for this OpenFlow configuration. - RangeSize (number): Specifies the size of the traffic range. - SourcePort (str): Specifies the transport source port. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - UdpDestination (str): Value of the UDP destination field. - UdpSource (str): Value of the UDP source field. - VlanCount (number): Specifies the VLAN Count. - VlanId (str): Specifies the VLAN ID. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. - VlanPriority (str): Specifies the VLAN Priority. This attribute is of range kind and can take wildcard as input. It is composed of sub-attributes like, startValue, stepValue, repeatCount, wrapCount, and incrementMode. Returns ------- - self: This instance with matching trafficEndPoint resources retrieved from the server available through an iterator or index Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._select(self._map_locals(self._SDM_ATT_MAP, locals())) def read(self, href): """Retrieves a single instance of trafficEndPoint data from the server. Args ---- - href (str): An href to the instance to be retrieved Returns ------- - self: This instance with the trafficEndPoint resources from the server available through an iterator or index Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ return self._read(href)

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b80da989fda9e12d79dc5b17815d347d6cfc28a3

4,567

py

Python

pyprobecurrent/log/su8230/AnalyzeSU3500LogFiles.py

drix00/pyprobecurrent

fe9b557fe802084a3f769b42ad2738522856fd73

[ "Apache-2.0" ]

null

pyprobecurrent/log/su8230/AnalyzeSU3500LogFiles.py

drix00/pyprobecurrent

fe9b557fe802084a3f769b42ad2738522856fd73

[ "Apache-2.0" ]

null

pyprobecurrent/log/su8230/AnalyzeSU3500LogFiles.py

drix00/pyprobecurrent

fe9b557fe802084a3f769b42ad2738522856fd73

[ "Apache-2.0" ]

null

#!/usr/bin/env python """ .. py:currentmodule:: experimental.su8000.log.AnalyzeSU3500LogFiles .. moduleauthor:: Hendrix Demers <hendrix.demers@mail.mcgill.ca> Analize Su-3500 log files. """ # Script information for the file. __author__ = "Hendrix Demers (hendrix.demers@mail.mcgill.ca)" __version__ = "" __date__ = "" __copyright__ = "Copyright (c) 2014 Hendrix Demers" __license__ = "" # Standard library modules. import os.path import logging # Third party modules. # Local modules. from . import LogFiles # Project modules # Globals and constants variables. def analyze20140502(): logging.info("Analyze log files of %s", "20140502") basepath = r"K:\hdemers\results\experiments\SU3500\logs\Hitachi_20140502" relativePath = r"PC_SEM\Log" path = os.path.join(basepath, relativePath) if os.path.isdir(path): logging.info("Path exist: %s", path) logFiles = LogFiles.LogFiles(path) logFiles.findLogFiles() logging.info("Number of log files: %i", logFiles.numberLogFiles) logFile = logFiles.readLastLogFile() if logFile is not None: logging.info("Number of lines: %i", logFile.numberLines) uniqueInterv = logFile.uniqueInterv() logging.info("Number of unique Interv: %i", len(uniqueInterv)) uniqueFI = logFile.uniqueFI() logging.info("Number of unique from instrument: %i", len(uniqueFI)) logging.info("Unique from instruments: %s", uniqueFI) uniqueTI = logFile.uniqueTI() logging.info("Number of unique to instrument: %i", len(uniqueTI)) logging.info("Unique to instruments: %s", uniqueTI) uniqueFITI = logFile.uniqueFITI() logging.info("Number of unique from/to instrument: %i", len(uniqueFITI)) logging.info("Unique from/to instruments:") for fi, ti in uniqueFITI: logging.debug(" : %s, %s", fi, ti) uniqueCodes = logFile.uniqueCodes() logging.info("Number of unique code: %i", len(uniqueCodes)) logging.info("Unique codes: %s", uniqueCodes) uniqueFITICode = logFile.uniqueFITICode() logging.info("Number of unique from/to instrument with code: %i", len(uniqueFITICode)) logging.info("Unique from/to instruments code:") for fi, ti, code in uniqueFITICode: logging.info(" : %s, %s, %s", fi, ti, code) def analyze20141026(): logging.info("Analyze log files of %s", "20141026") basepath = r"K:\hdemers\results\experiments\SU3500\logs\Hitachi_20141026" relativePath = r"PC_SEM\Log" path = os.path.join(basepath, relativePath) if os.path.isdir(path): logging.info("Path exist: %s", path) logFiles = LogFiles.LogFiles(path) logFiles.findLogFiles() logging.info("Number of log files: %i", logFiles.numberLogFiles) logFile = logFiles.readLastLogFile() if logFile is not None: logging.info("Number of lines: %i", logFile.numberLines) uniqueInterv = logFile.uniqueInterv() logging.info("Number of unique Interv: %i", len(uniqueInterv)) uniqueFI = logFile.uniqueFI() logging.info("Number of unique from instrument: %i", len(uniqueFI)) logging.info("Unique from instruments: %s", uniqueFI) uniqueTI = logFile.uniqueTI() logging.info("Number of unique to instrument: %i", len(uniqueTI)) logging.info("Unique to instruments: %s", uniqueTI) uniqueFITI = logFile.uniqueFITI() logging.info("Number of unique from/to instrument: %i", len(uniqueFITI)) logging.info("Unique from/to instruments:") for fi, ti in uniqueFITI: logging.debug(" : %s, %s", fi, ti) uniqueCodes = logFile.uniqueCodes() logging.info("Number of unique code: %i", len(uniqueCodes)) logging.info("Unique codes: %s", uniqueCodes) uniqueFITICode = logFile.uniqueFITICode() logging.info("Number of unique from/to instrument with code: %i", len(uniqueFITICode)) logging.info("Unique from/to instruments code:") for fi, ti, code in uniqueFITICode: logging.info(" : %s, %s, %s", fi, ti, code) def run(): # analyze20140502() analyze20141026() if __name__ == '__main__': # pragma: no cover run()

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b818633c65cc36ce1c5c51dda452c2d44c462230

25,570

py

Python

track_model/track_model_train.py

QUVA-Lab/lang-tracker

6cb3630471765565b6f2d34a160f0cd51d95a082

[ "BSD-2-Clause-FreeBSD" ]

31

2017-09-13T13:40:59.000Z

2022-01-25T16:55:19.000Z

track_model/track_model_train.py

zhenyangli/lang-tracker

dddd808a22582573ab0a5e4c3dbf0ba054e42d61

[ "BSD-3-Clause" ]

4

2017-09-14T01:56:58.000Z

2021-01-28T00:58:58.000Z

track_model/track_model_train.py

QUVA-Lab/lang-tracker

6cb3630471765565b6f2d34a160f0cd51d95a082

[ "BSD-2-Clause-FreeBSD" ]

9

2017-09-28T03:22:08.000Z

2021-01-19T10:56:44.000Z

from __future__ import absolute_import, division, print_function import numpy as np import caffe from caffe import layers as L from caffe import params as P channel_mean = np.array([123.68, 116.779, 103.939], dtype=np.float32) ############################################################################### # Helper Methods ############################################################################### def conv_relu(bottom, nout, ks=3, stride=1, pad=1, param_names=('conv_w', 'conv_b'), bias_term=True, fix_param=False, finetune=False): if fix_param: mult = [dict(name=param_names[0], lr_mult=0, decay_mult=0), dict(name=param_names[1], lr_mult=0, decay_mult=0)] conv = L.Convolution(bottom, kernel_size=ks, stride=stride, num_output=nout, pad=pad, param=mult) else: if finetune: mult = [dict(name=param_names[0], lr_mult=0.1, decay_mult=1), dict(name=param_names[1], lr_mult=0.2, decay_mult=0)] conv = L.Convolution(bottom, kernel_size=ks, stride=stride, num_output=nout, pad=pad, param=mult) else: mult = [dict(name=param_names[0], lr_mult=1, decay_mult=1), dict(name=param_names[1], lr_mult=2, decay_mult=0)] filler = dict(type='xavier') conv = L.Convolution(bottom, kernel_size=ks, stride=stride, num_output=nout, pad=pad, bias_term=bias_term, param=mult, weight_filler=filler) return conv, L.ReLU(conv, in_place=True) def conv(bottom, nout, ks=3, stride=1, pad=1, param_names=('conv_w', 'conv_b'), bias_term=True, fix_param=False, finetune=False): if fix_param: mult = [dict(name=param_names[0], lr_mult=0, decay_mult=0), dict(name=param_names[1], lr_mult=0, decay_mult=0)] conv = L.Convolution(bottom, kernel_size=ks, stride=stride, num_output=nout, pad=pad, param=mult) else: if finetune: mult = [dict(name=param_names[0], lr_mult=0.1, decay_mult=1), dict(name=param_names[1], lr_mult=0.2, decay_mult=0)] conv = L.Convolution(bottom, kernel_size=ks, stride=stride, num_output=nout, pad=pad, param=mult) else: mult = [dict(name=param_names[0], lr_mult=1, decay_mult=1), dict(name=param_names[1], lr_mult=2, decay_mult=0)] filler = dict(type='xavier') conv = L.Convolution(bottom, kernel_size=ks, stride=stride, num_output=nout, pad=pad, bias_term=bias_term, param=mult, weight_filler=filler) return conv def max_pool(bottom, ks=2, stride=2): return L.Pooling(bottom, pool=P.Pooling.MAX, kernel_size=ks, stride=stride) ################################################################################ # Model Generation ############################################################################### def generate_scores(split, config): n = caffe.NetSpec() dataset = config.dataset batch_size = config.N mode_str = str(dict(dataset=dataset, split=split, batch_size=batch_size)) n.image1, n.image2, n.label, n.sample_weights, n.feat_crop = L.Python(module=config.data_provider, layer=config.data_provider_layer, param_str=mode_str, ntop=5) ################################ # the base net (VGG-16) branch 1 n.conv1_1, n.relu1_1 = conv_relu(n.image1, 64, param_names=('conv1_1_w', 'conv1_1_b'), fix_param=True, finetune=False) n.conv1_2, n.relu1_2 = conv_relu(n.relu1_1, 64, param_names=('conv1_2_w', 'conv1_2_b'), fix_param=True, finetune=False) n.pool1 = max_pool(n.relu1_2) n.conv2_1, n.relu2_1 = conv_relu(n.pool1, 128, param_names=('conv2_1_w', 'conv2_1_b'), fix_param=True, finetune=False) n.conv2_2, n.relu2_2 = conv_relu(n.relu2_1, 128, param_names=('conv2_2_w', 'conv2_2_b'), fix_param=True, finetune=False) n.pool2 = max_pool(n.relu2_2) n.conv3_1, n.relu3_1 = conv_relu(n.pool2, 256, param_names=('conv3_1_w', 'conv3_1_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv3_2, n.relu3_2 = conv_relu(n.relu3_1, 256, param_names=('conv3_2_w', 'conv3_2_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv3_3, n.relu3_3 = conv_relu(n.relu3_2, 256, param_names=('conv3_3_w', 'conv3_3_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.pool3 = max_pool(n.relu3_3) # spatial L2 norm n.pool3_lrn = L.LRN(n.pool3, local_size=513, alpha=513, beta=0.5, k=1e-16) n.conv4_1, n.relu4_1 = conv_relu(n.pool3, 512, param_names=('conv4_1_w', 'conv4_1_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv4_2, n.relu4_2 = conv_relu(n.relu4_1, 512, param_names=('conv4_2_w', 'conv4_2_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv4_3, n.relu4_3 = conv_relu(n.relu4_2, 512, param_names=('conv4_3_w', 'conv4_3_b'), fix_param=config.fix_vgg, finetune=config.finetune) # spatial L2 norm n.relu4_3_lrn = L.LRN(n.relu4_3, local_size=1025, alpha=1025, beta=0.5, k=1e-16) #n.pool4 = max_pool(n.relu4_3) #n.conv5_1, n.relu5_1 = conv_relu(n.pool4, 512, # param_names=('conv5_1_w', 'conv5_1_b'), # fix_param=config.fix_vgg, # finetune=config.finetune) #n.conv5_2, n.relu5_2 = conv_relu(n.relu5_1, 512, # param_names=('conv5_2_w', 'conv5_2_b'), # fix_param=config.fix_vgg, # finetune=config.finetune) #n.conv5_3, n.relu5_3 = conv_relu(n.relu5_2, 512, # param_names=('conv5_3_w', 'conv5_3_b'), # fix_param=config.fix_vgg, # finetune=config.finetune) # upsampling feature map #n.relu5_3_upsampling = L.Deconvolution(n.relu5_3, # convolution_param=dict(num_output=512, # group=512, # kernel_size=4, # stride=2, # pad=1, # bias_term=False, # weight_filler=dict(type='bilinear')), # param=[dict(lr_mult=0, decay_mult=0)]) # spatial L2 norm #n.relu5_3_lrn = L.LRN(n.relu5_3_upsampling, local_size=1025, alpha=1025, beta=0.5, k=1e-16) # concat all skip features #n.feat_all1 = n.relu4_3_lrn n.feat_all1 = L.Concat(n.pool3_lrn, n.relu4_3_lrn, concat_param=dict(axis=1)) #n.feat_all1 = L.Concat(n.pool3_lrn, n.relu4_3_lrn, n.relu5_3_lrn, concat_param=dict(axis=1)) n.feat_all1_crop = L.Crop(n.feat_all1, n.feat_crop, crop_param=dict(axis=2, offset=[config.query_featmap_H//3, config.query_featmap_W//3])) ################################ # the base net (VGG-16) branch 2 n.conv1_1_p, n.relu1_1_p = conv_relu(n.image2, 64, param_names=('conv1_1_w', 'conv1_1_b'), fix_param=True, finetune=False) n.conv1_2_p, n.relu1_2_p = conv_relu(n.relu1_1_p, 64, param_names=('conv1_2_w', 'conv1_2_b'), fix_param=True, finetune=False) n.pool1_p = max_pool(n.relu1_2_p) n.conv2_1_p, n.relu2_1_p = conv_relu(n.pool1_p, 128, param_names=('conv2_1_w', 'conv2_1_b'), fix_param=True, finetune=False) n.conv2_2_p, n.relu2_2_p = conv_relu(n.relu2_1_p, 128, param_names=('conv2_2_w', 'conv2_2_b'), fix_param=True, finetune=False) n.pool2_p = max_pool(n.relu2_2_p) n.conv3_1_p, n.relu3_1_p = conv_relu(n.pool2_p, 256, param_names=('conv3_1_w', 'conv3_1_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv3_2_p, n.relu3_2_p = conv_relu(n.relu3_1_p, 256, param_names=('conv3_2_w', 'conv3_2_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv3_3_p, n.relu3_3_p = conv_relu(n.relu3_2_p, 256, param_names=('conv3_3_w', 'conv3_3_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.pool3_p = max_pool(n.relu3_3_p) # spatial L2 norm n.pool3_lrn_p = L.LRN(n.pool3_p, local_size=513, alpha=513, beta=0.5, k=1e-16) n.conv4_1_p, n.relu4_1_p = conv_relu(n.pool3_p, 512, param_names=('conv4_1_w', 'conv4_1_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv4_2_p, n.relu4_2_p = conv_relu(n.relu4_1_p, 512, param_names=('conv4_2_w', 'conv4_2_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv4_3_p, n.relu4_3_p = conv_relu(n.relu4_2_p, 512, param_names=('conv4_3_w', 'conv4_3_b'), fix_param=config.fix_vgg, finetune=config.finetune) # spatial L2 norm n.relu4_3_lrn_p = L.LRN(n.relu4_3_p, local_size=1025, alpha=1025, beta=0.5, k=1e-16) #n.pool4_p = max_pool(n.relu4_3_p) #n.conv5_1_p, n.relu5_1_p = conv_relu(n.pool4_p, 512, # param_names=('conv5_1_w', 'conv5_1_b'), # fix_param=config.fix_vgg, # finetune=config.finetune) #n.conv5_2_p, n.relu5_2_p = conv_relu(n.relu5_1_p, 512, # param_names=('conv5_2_w', 'conv5_2_b'), # fix_param=config.fix_vgg, # finetune=config.finetune) #n.conv5_3_p, n.relu5_3_p = conv_relu(n.relu5_2_p, 512, # param_names=('conv5_3_w', 'conv5_3_b'), # fix_param=config.fix_vgg, # finetune=config.finetune) # upsampling feature map #n.relu5_3_upsampling_p = L.Deconvolution(n.relu5_3_p, # convolution_param=dict(num_output=512, # group=512, # kernel_size=4, # stride=2, # pad=1, # bias_term=False, # weight_filler=dict(type='bilinear')), # param=[dict(lr_mult=0, decay_mult=0)]) # spatial L2 norm #n.relu5_3_lrn_p = L.LRN(n.relu5_3_upsampling_p, local_size=1025, alpha=1025, beta=0.5, k=1e-16) # concat all skip features #n.feat_all2 = n.relu4_3_lrn_p n.feat_all2 = L.Concat(n.pool3_lrn_p, n.relu4_3_lrn_p, concat_param=dict(axis=1)) #n.feat_all2 = L.Concat(n.pool3_lrn_p, n.relu4_3_lrn_p, n.relu5_3_lrn_p, concat_param=dict(axis=1)) # Dyn conv layer n.fcn_scores = L.DynamicConvolution(n.feat_all2, n.feat_all1_crop, convolution_param=dict(num_output=1, kernel_size=11, stride=1, pad=5, bias_term=False)) return n.to_proto() def generate_model(split, config): n = caffe.NetSpec() dataset = config.dataset batch_size = config.N mode_str = str(dict(dataset=dataset, split=split, batch_size=batch_size)) n.image1, n.image2, n.label, n.sample_weights, n.feat_crop = L.Python(module=config.data_provider, layer=config.data_provider_layer, param_str=mode_str, ntop=5) ################################ # the base net (VGG-16) branch 1 n.conv1_1, n.relu1_1 = conv_relu(n.image1, 64, param_names=('conv1_1_w', 'conv1_1_b'), fix_param=True, finetune=False) n.conv1_2, n.relu1_2 = conv_relu(n.relu1_1, 64, param_names=('conv1_2_w', 'conv1_2_b'), fix_param=True, finetune=False) n.pool1 = max_pool(n.relu1_2) n.conv2_1, n.relu2_1 = conv_relu(n.pool1, 128, param_names=('conv2_1_w', 'conv2_1_b'), fix_param=True, finetune=False) n.conv2_2, n.relu2_2 = conv_relu(n.relu2_1, 128, param_names=('conv2_2_w', 'conv2_2_b'), fix_param=True, finetune=False) n.pool2 = max_pool(n.relu2_2) n.conv3_1, n.relu3_1 = conv_relu(n.pool2, 256, param_names=('conv3_1_w', 'conv3_1_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv3_2, n.relu3_2 = conv_relu(n.relu3_1, 256, param_names=('conv3_2_w', 'conv3_2_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv3_3, n.relu3_3 = conv_relu(n.relu3_2, 256, param_names=('conv3_3_w', 'conv3_3_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.pool3 = max_pool(n.relu3_3) # spatial L2 norm n.pool3_lrn = L.LRN(n.pool3, local_size=513, alpha=513, beta=0.5, k=1e-16) n.conv4_1, n.relu4_1 = conv_relu(n.pool3, 512, param_names=('conv4_1_w', 'conv4_1_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv4_2, n.relu4_2 = conv_relu(n.relu4_1, 512, param_names=('conv4_2_w', 'conv4_2_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv4_3, n.relu4_3 = conv_relu(n.relu4_2, 512, param_names=('conv4_3_w', 'conv4_3_b'), fix_param=config.fix_vgg, finetune=config.finetune) # spatial L2 norm n.relu4_3_lrn = L.LRN(n.relu4_3, local_size=1025, alpha=1025, beta=0.5, k=1e-16) #n.pool4 = max_pool(n.relu4_3) #n.conv5_1, n.relu5_1 = conv_relu(n.pool4, 512, # param_names=('conv5_1_w', 'conv5_1_b'), # fix_param=config.fix_vgg, # finetune=config.finetune) #n.conv5_2, n.relu5_2 = conv_relu(n.relu5_1, 512, # param_names=('conv5_2_w', 'conv5_2_b'), # fix_param=config.fix_vgg, # finetune=config.finetune) #n.conv5_3, n.relu5_3 = conv_relu(n.relu5_2, 512, # param_names=('conv5_3_w', 'conv5_3_b'), # fix_param=config.fix_vgg, # finetune=config.finetune) # upsampling feature map #n.relu5_3_upsampling = L.Deconvolution(n.relu5_3, # convolution_param=dict(num_output=512, # group=512, # kernel_size=4, # stride=2, # pad=1, # bias_term=False, # weight_filler=dict(type='bilinear')), # param=[dict(lr_mult=0, decay_mult=0)]) # spatial L2 norm #n.relu5_3_lrn = L.LRN(n.relu5_3_upsampling, local_size=1025, alpha=1025, beta=0.5, k=1e-16) # concat all skip features #n.feat_all1 = n.relu4_3_lrn n.feat_all1 = L.Concat(n.pool3_lrn, n.relu4_3_lrn, concat_param=dict(axis=1)) #n.feat_all1 = L.Concat(n.pool3_lrn, n.relu4_3_lrn, n.relu5_3_lrn, concat_param=dict(axis=1)) n.feat_all1_crop = L.Crop(n.feat_all1, n.feat_crop, crop_param=dict(axis=2, offset=[config.query_featmap_H//3, config.query_featmap_W//3])) ################################ # the base net (VGG-16) branch 2 n.conv1_1_p, n.relu1_1_p = conv_relu(n.image2, 64, param_names=('conv1_1_w', 'conv1_1_b'), fix_param=True, finetune=False) n.conv1_2_p, n.relu1_2_p = conv_relu(n.relu1_1_p, 64, param_names=('conv1_2_w', 'conv1_2_b'), fix_param=True, finetune=False) n.pool1_p = max_pool(n.relu1_2_p) n.conv2_1_p, n.relu2_1_p = conv_relu(n.pool1_p, 128, param_names=('conv2_1_w', 'conv2_1_b'), fix_param=True, finetune=False) n.conv2_2_p, n.relu2_2_p = conv_relu(n.relu2_1_p, 128, param_names=('conv2_2_w', 'conv2_2_b'), fix_param=True, finetune=False) n.pool2_p = max_pool(n.relu2_2_p) n.conv3_1_p, n.relu3_1_p = conv_relu(n.pool2_p, 256, param_names=('conv3_1_w', 'conv3_1_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv3_2_p, n.relu3_2_p = conv_relu(n.relu3_1_p, 256, param_names=('conv3_2_w', 'conv3_2_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv3_3_p, n.relu3_3_p = conv_relu(n.relu3_2_p, 256, param_names=('conv3_3_w', 'conv3_3_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.pool3_p = max_pool(n.relu3_3_p) # spatial L2 norm n.pool3_lrn_p = L.LRN(n.pool3_p, local_size=513, alpha=513, beta=0.5, k=1e-16) n.conv4_1_p, n.relu4_1_p = conv_relu(n.pool3_p, 512, param_names=('conv4_1_w', 'conv4_1_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv4_2_p, n.relu4_2_p = conv_relu(n.relu4_1_p, 512, param_names=('conv4_2_w', 'conv4_2_b'), fix_param=config.fix_vgg, finetune=config.finetune) n.conv4_3_p, n.relu4_3_p = conv_relu(n.relu4_2_p, 512, param_names=('conv4_3_w', 'conv4_3_b'), fix_param=config.fix_vgg, finetune=config.finetune) # spatial L2 norm n.relu4_3_lrn_p = L.LRN(n.relu4_3_p, local_size=1025, alpha=1025, beta=0.5, k=1e-16) #n.pool4_p = max_pool(n.relu4_3_p) #n.conv5_1_p, n.relu5_1_p = conv_relu(n.pool4_p, 512, # param_names=('conv5_1_w', 'conv5_1_b'), # fix_param=config.fix_vgg, # finetune=config.finetune) #n.conv5_2_p, n.relu5_2_p = conv_relu(n.relu5_1_p, 512, # param_names=('conv5_2_w', 'conv5_2_b'), # fix_param=config.fix_vgg, # finetune=config.finetune) #n.conv5_3_p, n.relu5_3_p = conv_relu(n.relu5_2_p, 512, # param_names=('conv5_3_w', 'conv5_3_b'), # fix_param=config.fix_vgg, # finetune=config.finetune) # upsampling feature map #n.relu5_3_upsampling_p = L.Deconvolution(n.relu5_3_p, # convolution_param=dict(num_output=512, # group=512, # kernel_size=4, # stride=2, # pad=1, # bias_term=False, # weight_filler=dict(type='bilinear')), # param=[dict(lr_mult=0, decay_mult=0)]) # spatial L2 norm #n.relu5_3_lrn_p = L.LRN(n.relu5_3_upsampling_p, local_size=1025, alpha=1025, beta=0.5, k=1e-16) # concat all skip features #n.feat_all2 = n.relu4_3_lrn_p n.feat_all2 = L.Concat(n.pool3_lrn_p, n.relu4_3_lrn_p, concat_param=dict(axis=1)) #n.feat_all2 = L.Concat(n.pool3_lrn_p, n.relu4_3_lrn_p, n.relu5_3_lrn_p, concat_param=dict(axis=1)) # Dyn conv layer n.fcn_scores = L.DynamicConvolution(n.feat_all2, n.feat_all1_crop, convolution_param=dict(num_output=1, kernel_size=11, stride=1, pad=5, bias_term=False)) # scale scores with zero mean 0.01196 -> 0.02677 n.fcn_scaled_scores = L.Power(n.fcn_scores, power_param=dict(scale=0.01196, shift=-1.0, power=1)) # Loss Layer n.loss = L.WeightedSigmoidCrossEntropyLoss(n.fcn_scaled_scores, n.label, n.sample_weights) return n.to_proto()

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1

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7

62e6cc4a74b04bdd7b76c9a8eb419dfe32532b2b

879

py

Python

test_autolens/integration/tests/imaging/full_pipeline/test_mock_nlo.py

PyJedi/PyAutoLens

bcfb2e7b447aa24508fc648d60b6fd9b4fd852e7

[ "MIT" ]

1

2020-04-06T20:07:56.000Z

test_autolens/integration/tests/imaging/full_pipeline/test_mock_nlo.py

PyJedi/PyAutoLens

bcfb2e7b447aa24508fc648d60b6fd9b4fd852e7

[ "MIT" ]

null

test_autolens/integration/tests/imaging/full_pipeline/test_mock_nlo.py

PyJedi/PyAutoLens

bcfb2e7b447aa24508fc648d60b6fd9b4fd852e7

[ "MIT" ]

null

from test_autolens.integration.tests.imaging.full_pipeline import hyper_no_lens_light_bg from test_autolens.integration.tests.imaging.full_pipeline import ( hyper_no_lens_light_bg_extension_false, ) from test_autolens.integration.tests.imaging.full_pipeline import ( hyper_with_lens_light_bg, ) from test_autolens.integration.tests.imaging.runner import run_a_mock class TestCase: def _test_hyper_no_lens_light_bg_extension_false(self): run_a_mock(hyper_no_lens_light_bg_extension_false) def _test_hyper_no_lens_light_bg(self): run_a_mock(hyper_no_lens_light_bg) def _test_hyper_with_lens_light(self): run_a_mock(hyper_with_lens_light_bg) def _test_hyper_with_lens_light_bg(self): run_a_mock(hyper_with_lens_light_bg) def _test_hyper_with_lens_light_bg_new_api(self): run_a_mock(hyper_with_lens_light_bg)

33.807692

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142

879

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0.190141

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0.938291

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0.522152

0

0.12628

879

25

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0.822917

0

0.263158

0

1

0.263158

false

0

0.210526

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0

null

0

1

0

null

0

1

0

8

a7fbbf47ffc55354edd0a83597dc7b4c4615beea

23,249

py

Python

python/test/function/test_interpolate.py

daniel-falk/nnabla

3fe132ea52dc10521cc029a5d6ba8f565cf65ccf

[ "Apache-2.0" ]

2,792

2017-06-26T13:05:44.000Z

2022-03-28T07:55:26.000Z

python/test/function/test_interpolate.py

daniel-falk/nnabla

3fe132ea52dc10521cc029a5d6ba8f565cf65ccf

[ "Apache-2.0" ]

138

2017-06-27T07:04:44.000Z

2022-02-28T01:37:15.000Z

python/test/function/test_interpolate.py

daniel-falk/nnabla

3fe132ea52dc10521cc029a5d6ba8f565cf65ccf

[ "Apache-2.0" ]

380

2017-06-26T13:23:52.000Z

2022-03-25T16:51:30.000Z

# Copyright 2018,2019,2020,2021 Sony Corporation. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to 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 __future__ import division import pytest import numpy as np import nnabla.functions as F import refs from nbla_test_utils import list_context ctxs = list_context('Interpolate') def compute_scale(isize, osize, align_corners): if osize > 1: return (isize - 1) / (osize - 1) if align_corners else isize / osize else: return 0.0 def compute_scale_for_nn(isize, osize, align_corners, half_pixel_for_nn): if half_pixel_for_nn: return isize / float(osize) else: return compute_scale(isize, osize, align_corners) def get_source_index(scale, dst_index, half_pixel): return np.maximum(0, scale * (dst_index + 0.5) - 0.5) \ if half_pixel else scale * dst_index def get_source_index_for_nn(scale, dst_index, half_pixel, half_pixel_for_nn): if half_pixel_for_nn: return scale * (dst_index + 0.5) else: return get_source_index(scale, dst_index, half_pixel) def ref_interpolate(x, scale, output_size, mode, align_corners=True, half_pixel=False, half_pixel_for_nn=False, channel_last=False): assert scale or output_size, 'Need either scale or output_size.' assert not scale or len(scale) in (1, 2, 3), 'Only 1D/2D/3D' assert not output_size or len(output_size) in (1, 2, 3), 'Only 1D/2D/3D' if channel_last: n_sdim = len(scale) if scale else len(output_size) t = refs.ChannelLastToFirstTranspose(x.ndim, n_sdim) x = t(x) if not output_size: output_size = np.floor(np.array(scale) * x.shape[-len(scale):]) output_size = tuple(map(int, output_size)) if mode == "nearest": if len(output_size) == 1: out = ref_nearest_interpolate_1d( x, output_size, align_corners, half_pixel, half_pixel_for_nn) out = t.inv(out) if channel_last else out if len(output_size) == 2: out = ref_nearest_interpolate_2d( x, output_size, align_corners, half_pixel, half_pixel_for_nn) out = t.inv(out) if channel_last else out if len(output_size) == 3: out = ref_nearest_interpolate_3d( x, output_size, align_corners, half_pixel, half_pixel_for_nn) out = t.inv(out) if channel_last else out elif mode == "linear": if len(output_size) == 1: out = ref_linear_interpolate_1d( x, output_size, align_corners, half_pixel) if len(output_size) == 2: out = ref_linear_interpolate_2d( x, output_size, align_corners, half_pixel) if len(output_size) == 3: out = ref_linear_interpolate_3d( x, output_size, align_corners, half_pixel) out = t.inv(out) if channel_last else out return out def ref_linear_interpolate_1d(x, output_size, align_corners, half_pixel): oshape = output_size # output-width ishape = x.shape[-1:] # input-width xx = x.reshape(-1, *ishape) ib = np.arange(xx.shape[0]) # batch index scale = (compute_scale(ishape[0], oshape[0], align_corners),) # x # Real input indices as floats index = (get_source_index(scale[0], np.arange(oshape[0]), half_pixel),) # Nearest input indices per axis index_1 = (index[0].astype(np.int32),) index_2 = (np.minimum(index_1[0] + 1, ishape[0] - 1),) # Unit distance to left and right dist_1 = ((index[0] - index_1[0]).reshape(1, -1),) # x dist_2 = (1.0 - dist_1[0],) val0 = dist_2[0] * xx[np.ix_(ib, index_1[0])] val1 = dist_1[0] * xx[np.ix_(ib, index_2[0])] yy = val0 + val1 return yy.reshape(x.shape[:-len(oshape)] + oshape) def ref_linear_interpolate_2d(x, output_size, align_corners, half_pixel): oshape = output_size # output-height, output-width ishape = x.shape[-2:] # input-height, input-width xx = x.reshape(-1, *ishape) ib = np.arange(xx.shape[0]) # batch index scale = (compute_scale(ishape[0], oshape[0], align_corners), # y compute_scale(ishape[1], oshape[1], align_corners)) # x # Real input indices as floats index = (get_source_index(scale[0], np.arange(oshape[0]), half_pixel), get_source_index(scale[1], np.arange(oshape[1]), half_pixel)) # Nearest input indices per axis index_1 = (index[0].astype(np.int32), index[1].astype(np.int32)) index_2 = (np.minimum(index_1[0] + 1, ishape[0] - 1), np.minimum(index_1[1] + 1, ishape[1] - 1)) # Unit distance to left and right dist_1 = ((index[0] - index_1[0]).reshape(1, -1, 1), # y (index[1] - index_1[1]).reshape(1, 1, -1)) # x dist_2 = (1.0 - dist_1[0], 1.0 - dist_1[1]) val0 = dist_2[1] * xx[np.ix_(ib, index_1[0], index_1[1])] val1 = dist_1[1] * xx[np.ix_(ib, index_1[0], index_2[1])] val2 = dist_2[1] * xx[np.ix_(ib, index_2[0], index_1[1])] val3 = dist_1[1] * xx[np.ix_(ib, index_2[0], index_2[1])] yy = (dist_2[0] * (val0 + val1)) + (dist_1[0] * (val2 + val3)) return yy.reshape(x.shape[:-len(oshape)] + oshape) def ref_linear_interpolate_3d(x, output_size, align_corners, half_pixel): oshape = output_size # output-depth, output-height, output-width ishape = x.shape[-3:] # input-depth, input-height, input-width xx = x.reshape(-1, *ishape) ib = np.arange(xx.shape[0]) # batch index scale = (compute_scale(ishape[0], oshape[0], align_corners), # z compute_scale(ishape[1], oshape[1], align_corners), # y compute_scale(ishape[2], oshape[2], align_corners)) # x # Real input indices as floats index = (get_source_index(scale[0], np.arange(oshape[0]), half_pixel), get_source_index(scale[1], np.arange(oshape[1]), half_pixel), get_source_index(scale[2], np.arange(oshape[2]), half_pixel)) # Nearest input indices per axis index_1 = (index[0].astype(np.int32), index[1].astype(np.int32), index[2].astype(np.int32)) index_2 = (np.minimum(index_1[0] + 1, ishape[0] - 1), np.minimum(index_1[1] + 1, ishape[1] - 1), np.minimum(index_1[2] + 1, ishape[2] - 1)) # Unit distance to left and right dist_1 = ((index[0] - index_1[0]).reshape(1, -1, 1, 1), # z (index[1] - index_1[1]).reshape(1, 1, -1, 1), # y (index[2] - index_1[2]).reshape(1, 1, 1, -1)) # x dist_2 = (1.0 - dist_1[0], 1.0 - dist_1[1], 1.0 - dist_1[2]) val0 = dist_2[2] * xx[np.ix_(ib, index_1[0], index_1[1], index_1[2])] val1 = dist_1[2] * xx[np.ix_(ib, index_1[0], index_1[1], index_2[2])] val2 = dist_2[2] * xx[np.ix_(ib, index_1[0], index_2[1], index_1[2])] val3 = dist_1[2] * xx[np.ix_(ib, index_1[0], index_2[1], index_2[2])] val4 = dist_2[2] * xx[np.ix_(ib, index_2[0], index_1[1], index_1[2])] val5 = dist_1[2] * xx[np.ix_(ib, index_2[0], index_1[1], index_2[2])] val6 = dist_2[2] * xx[np.ix_(ib, index_2[0], index_2[1], index_1[2])] val7 = dist_1[2] * xx[np.ix_(ib, index_2[0], index_2[1], index_2[2])] val8 = (dist_2[1] * (val0 + val1)) + (dist_1[1] * (val2 + val3)) val9 = (dist_2[1] * (val4 + val5)) + (dist_1[1] * (val6 + val7)) yy = dist_2[0] * val8 + dist_1[0] * val9 return yy.reshape(x.shape[:-len(oshape)] + oshape) def ref_nearest_interpolate_1d(x, output_size, align_corners, half_pixel, half_pixel_for_nn): oshape = output_size # output-width ishape = x.shape[-1:] # input-width xx = x.reshape(-1, *ishape) ib = np.arange(xx.shape[0]) # batch index scale = (compute_scale_for_nn( ishape[0], oshape[0], align_corners, half_pixel_for_nn),) # x # Real input indices as floats index = (get_source_index_for_nn(scale[0], np.arange( oshape[0]), half_pixel, half_pixel_for_nn),) # Nearest input indices per axis index_1 = (np.minimum(index[0].astype(np.int32), ishape[0] - 1), ) # Nearest input yy = xx[np.ix_(ib, index_1[0])] return yy.reshape(x.shape[:-len(oshape)] + oshape) def ref_nearest_interpolate_2d(x, output_size, align_corners, half_pixel, half_pixel_for_nn): oshape = output_size # output-height, output-width ishape = x.shape[-2:] # input-height, input-width xx = x.reshape(-1, *ishape) ib = np.arange(xx.shape[0]) # batch index scale = (compute_scale_for_nn(ishape[0], oshape[0], align_corners, half_pixel_for_nn), # y compute_scale_for_nn(ishape[1], oshape[1], align_corners, half_pixel_for_nn)) # x # Real input indices as floats index = (get_source_index_for_nn(scale[0], np.arange(oshape[0]), half_pixel, half_pixel_for_nn), get_source_index_for_nn(scale[1], np.arange(oshape[1]), half_pixel, half_pixel_for_nn)) # Nearest input indices per axis index_1 = (index[0].astype(np.int32), index[1].astype(np.int32)) index_2 = (np.minimum(index_1[0], ishape[0] - 1), np.minimum(index_1[1], ishape[1] - 1)) # Nearest input yy = xx[np.ix_(ib, index_2[0], index_2[1])] return yy.reshape(x.shape[:-len(oshape)] + oshape) def ref_nearest_interpolate_3d(x, output_size, align_corners, half_pixel, half_pixel_for_nn): oshape = output_size # output-depth, output-height, output-width ishape = x.shape[-3:] # input-depth, input-height, input-width xx = x.reshape(-1, *ishape) ib = np.arange(xx.shape[0]) # batch index scale = (compute_scale_for_nn(ishape[0], oshape[0], align_corners, half_pixel_for_nn), # z compute_scale_for_nn( ishape[1], oshape[1], align_corners, half_pixel_for_nn), # y compute_scale_for_nn(ishape[2], oshape[2], align_corners, half_pixel_for_nn)) # x # Real input indices as floats index = (get_source_index_for_nn(scale[0], np.arange(oshape[0]), half_pixel, half_pixel_for_nn), get_source_index_for_nn(scale[1], np.arange( oshape[1]), half_pixel, half_pixel_for_nn), get_source_index_for_nn(scale[2], np.arange(oshape[2]), half_pixel, half_pixel_for_nn)) # Nearest input indices per axis index_1 = (index[0].astype(np.int32), index[1].astype(np.int32), index[2].astype(np.int32)) index_2 = (np.minimum(index_1[0], ishape[0] - 1), np.minimum(index_1[1], ishape[1] - 1), np.minimum(index_1[2], ishape[2] - 1)) # Nearest input yy = xx[np.ix_(ib, index_2[0], index_2[1], index_2[2])] return yy.reshape(x.shape[:-len(oshape)] + oshape) @pytest.mark.parametrize("ctx, func_name", ctxs) @pytest.mark.parametrize("inshape, outsize, scale, sdim_only", [ # 1-dimensional ((3,), (6,), None, True), ((3,), (8,), None, True), ((3,), (2,), None, True), ((3,), (1,), None, True), ((3,), None, (2.5,), True), ((3,), None, (0.5,), True), ((2, 3, 4), (10,), None, False), ((2, 3, 5), None, (1.3,), False), # 2-dimensional ((3, 3), (8, 6), None, True), ((3, 3), (2, 1), None, True), ((3, 3), None, (2.5, 1.0), True), ((3, 3), None, (0.5, 0.5), True), ((2, 3, 4, 4), (8, 6), None, False), ((2, 3, 4, 4), (2, 1), None, False), ((2, 3, 4, 4), None, (2.5, 1.0), False), ((2, 3, 4, 4), None, (0.5, 0.5), False), ((2, 3, 4, 4), None, (0.5, 0.5), False), # 3-dimensional ((3, 3, 3), (6, 8, 6), None, True), ((3, 3, 3), (1, 2, 1), None, True), ((3, 3, 3), None, (1.5, 2.5, 1.0), True), ((3, 3, 3), None, (1.2, 0.5, 0.5), True), ((2, 3, 3, 4, 4), (6, 8, 6), None, False), ((2, 3, 3, 4, 4), (1, 2, 1), None, False), ((2, 3, 3, 4, 4), None, (1.5, 2.5, 1.0), False), ((2, 3, 3, 4, 4), None, (1.2, 0.5, 0.5), False), ]) @pytest.mark.parametrize('align_corners, half_pixel', [(True, False), (False, True), (False, False)]) @pytest.mark.parametrize('channel_last', [False, True]) @pytest.mark.parametrize("seed", [313]) def test_interpolate_linear_forward_backward(seed, inshape, outsize, scale, sdim_only, align_corners, half_pixel, channel_last, ctx, func_name): if channel_last and func_name == "Interpolate": pytest.skip("Interpolate with channel_last is only supported in CUDA.") if sdim_only and channel_last: pytest.skip( "Interpolate for spatial dimension only data is only supported for channel_first option.") from nbla_test_utils import function_tester rng = np.random.RandomState(seed) inputs = [rng.randn(*inshape).astype(np.float32)] func_args = [scale, outsize, 'linear', align_corners, half_pixel, False, channel_last] function_tester(rng, F.interpolate, ref_interpolate, inputs, func_name=func_name, func_args=func_args, atol_f=1e-6, atol_b=1e-2, dstep=2e-3, ctx=ctx, disable_half_test=True) @pytest.mark.parametrize("ctx, func_name", ctxs) @pytest.mark.parametrize("inshape, outsize, scale, sdim_only", [ # 1-dimensional ((3,), (6,), None, True), ((3,), (8,), None, True), ((3,), (2,), None, True), ((3,), (1,), None, True), ((3,), None, (2.5,), True), ((3,), None, (0.5,), True), ((2, 3, 4), (10,), None, False), ((2, 3, 5), None, (1.3,), False), # 2-dimensional ((3, 3), (8, 6), None, True), ((3, 3), (2, 1), None, True), ((3, 3), None, (2.5, 1.0), True), ((3, 3), None, (0.5, 0.5), True), ((2, 3, 4, 4), (8, 6), None, False), ((2, 3, 4, 4), (2, 1), None, False), ((2, 3, 4, 4), None, (2.5, 1.0), False), ((2, 3, 4, 4), None, (0.5, 0.5), False), ((2, 3, 4, 4), None, (0.5, 0.5), False), # 3-dimensional ((3, 3, 3), (6, 8, 6), None, True), ((3, 3, 3), (1, 2, 1), None, True), ((3, 3, 3), None, (1.5, 2.5, 1.0), True), ((3, 3, 3), None, (1.2, 0.5, 0.5), True), ((1, 2, 3, 4, 4), (6, 8, 6), None, False), ((1, 2, 3, 4, 4), (1, 2, 1), None, False), ((1, 2, 3, 4, 4), None, (1.5, 2.5, 1.0), False), ((1, 2, 3, 4, 4), None, (1.2, 0.5, 0.5), False), ]) @pytest.mark.parametrize('align_corners, half_pixel, half_pixel_for_nn', [(True, False, True), (True, False, False), (False, True, False), (False, False, False)]) @pytest.mark.parametrize('channel_last', [False, True]) @pytest.mark.parametrize("seed", [313]) def test_interpolate_nearest_forward_backward(seed, inshape, outsize, scale, sdim_only, align_corners, half_pixel, half_pixel_for_nn, channel_last, ctx, func_name): if channel_last and func_name == "Interpolate": pytest.skip("Interpolate with channel_last is only supported in CUDA.") if sdim_only and channel_last: pytest.skip( "Interpolate for spatial dimension only data is only supported for channel_first option.") from nbla_test_utils import function_tester rng = np.random.RandomState(seed) inputs = [rng.randn(*inshape).astype(np.float32)] func_args = [scale, outsize, 'nearest', align_corners, half_pixel, half_pixel_for_nn, channel_last] function_tester(rng, F.interpolate, ref_interpolate, inputs, func_name=func_name, func_args=func_args, atol_f=1e-6, atol_b=1e-2, dstep=2e-3, ctx=ctx) @pytest.mark.parametrize("ctx, func_name", ctxs) @pytest.mark.parametrize("inshape, outsize, scale, sdim_only", [ # 1-dimensional ((3,), (6,), None, True), ((3,), (8,), None, True), ((3,), (2,), None, True), ((3,), (1,), None, True), ((3,), None, (2.5,), True), ((3,), None, (0.5,), True), ((2, 3, 4), (10,), None, False), ((2, 3, 5), None, (1.3,), False), # 2-dimensional ((3, 3), (8, 6), None, True), ((3, 3), (2, 1), None, True), ((3, 3), None, (2.5, 1.0), True), ((3, 3), None, (0.5, 0.5), True), ((2, 3, 4, 4), (8, 6), None, False), ((2, 3, 4, 4), (2, 1), None, False), ((2, 3, 4, 4), None, (2.5, 1.0), False), ((2, 3, 4, 4), None, (0.5, 0.5), False), ((2, 3, 4, 4), None, (0.5, 0.5), False), # 3-dimensional ((3, 3, 3), (6, 8, 6), None, True), ((3, 3, 3), (1, 2, 1), None, True), ((3, 3, 3), None, (1.5, 2.5, 1.0), True), ((3, 3, 3), None, (1.2, 0.5, 0.5), True), ((2, 3, 3, 4, 4), (6, 8, 6), None, False), ((2, 3, 3, 4, 4), (1, 2, 1), None, False), ((2, 3, 3, 4, 4), None, (1.5, 2.5, 1.0), False), ((2, 3, 3, 4, 4), None, (1.2, 0.5, 0.5), False), ]) @pytest.mark.parametrize('align_corners, half_pixel', [(True, False), (False, True), (False, False)]) @pytest.mark.parametrize('channel_last', [False, True]) @pytest.mark.parametrize("seed", [313]) def test_interpolate_linear_double_backward(seed, inshape, outsize, scale, sdim_only, align_corners, half_pixel, channel_last, ctx, func_name): if channel_last and func_name == "Interpolate": pytest.skip("Interpolate with channel_last is only supported in CUDA.") if sdim_only and channel_last: pytest.skip( "Interpolate for spatial dimension only data is only supported for channel_first option.") from nbla_test_utils import backward_function_tester, grad_function_forward_function_output from nnabla.backward_function.interpolate import InterpolateDataGrad rng = np.random.RandomState(seed) inputs = [rng.randn(*inshape).astype(np.float32)] func_args = [scale, outsize, 'linear', align_corners, half_pixel, False, channel_last] # 2nd-order backward_function_tester(rng, F.interpolate, inputs, func_args=func_args, ctx=ctx) # 3rd-order # F.interpolate takes scale and output_size while InterpolateDataGrad takes only output_size # for passing kwargs in the nn.grad, same as F.Interpolate import nnabla as nn import math vinputs = [nn.Variable(inp.shape) if inp is not None else None for inp in inputs] y = F.interpolate(*(vinputs + func_args)) x = inputs[0] if scale: input_size = x.shape[-len(scale)-1:- 1] if channel_last else x.shape[-len(scale):] output_size = [int(math.floor(s * d)) for d, s in zip(input_size, scale)] else: output_size = outsize df = InterpolateDataGrad(ctx, *([output_size] + func_args[2:])) df.xshape = x.shape ginputs = [rng.randn(*y.shape)] backward_function_tester(rng, df, ginputs, func_args=[], ctx=ctx, atol_f=1e-6, atol_accum=8e-2, non_accum_check=True) @pytest.mark.parametrize("ctx, func_name", ctxs) @pytest.mark.parametrize("inshape, outsize, scale, sdim_only", [ # 1-dimensional ((3,), (6,), None, True), ((3,), (8,), None, True), ((3,), (2,), None, True), ((3,), (1,), None, True), ((3,), None, (2.5,), True), ((3,), None, (0.5,), True), ((2, 3, 4), (10,), None, False), ((2, 3, 5), None, (1.3,), False), # 2-dimensional ((3, 3), (8, 6), None, True), ((3, 3), (2, 1), None, True), ((3, 3), None, (2.5, 1.0), True), ((3, 3), None, (0.5, 0.5), True), ((2, 3, 4, 4), (8, 6), None, False), ((2, 3, 4, 4), (2, 1), None, False), ((2, 3, 4, 4), None, (2.5, 1.0), False), ((2, 3, 4, 4), None, (0.5, 0.5), False), ((2, 3, 4, 4), None, (0.5, 0.5), False), # 3-dimensional ((3, 3, 3), (6, 8, 6), None, True), ((3, 3, 3), (1, 2, 1), None, True), ((3, 3, 3), None, (1.5, 2.5, 1.0), True), ((3, 3, 3), None, (1.2, 0.5, 0.5), True), ((1, 2, 3, 4, 4), (6, 8, 6), None, False), ((1, 2, 3, 4, 4), (1, 2, 1), None, False), ((1, 2, 3, 4, 4), None, (1.5, 2.5, 1.0), False), ((1, 2, 3, 4, 4), None, (1.2, 0.5, 0.5), False), ]) @pytest.mark.parametrize('align_corners, half_pixel, half_pixel_for_nn', [(True, False, True), (True, False, False), (False, True, False), (False, False, False)]) @pytest.mark.parametrize('channel_last', [False, True]) @pytest.mark.parametrize("seed", [313]) def test_interpolate_nearest_double_backward(seed, inshape, outsize, scale, sdim_only, align_corners, half_pixel, half_pixel_for_nn, channel_last, ctx, func_name): if channel_last and func_name == "Interpolate": pytest.skip("Interpolate with channel_last is only supported in CUDA.") if sdim_only and channel_last: pytest.skip( "Interpolate for spatial dimension only data is only supported for channel_first option.") from nbla_test_utils import backward_function_tester, grad_function_forward_function_output from nnabla.backward_function.interpolate import InterpolateDataGrad rng = np.random.RandomState(seed) inputs = [rng.randn(*inshape).astype(np.float32)] func_args = [scale, outsize, 'nearest', align_corners, half_pixel, half_pixel_for_nn, channel_last] # 2nd-order backward_function_tester(rng, F.interpolate, inputs, func_args=func_args, atol_f=1e-6, atol_accum=1e-2, dstep=1e-3, ctx=ctx) # 3rd-order # F.interpolate takes scale and output_size while InterpolateDataGrad takes only output_size # for passing kwargs in the nn.grad, same as F.Interpolate import nnabla as nn import math vinputs = [nn.Variable(inp.shape) if inp is not None else None for inp in inputs] y = F.interpolate(*(vinputs + func_args)) x = inputs[0] if scale: input_size = x.shape[-len(scale)-1:- 1] if channel_last else x.shape[-len(scale):] output_size = [int(math.floor(s * d)) for d, s in zip(input_size, scale)] else: output_size = outsize df = InterpolateDataGrad(ctx, *([output_size] + func_args[2:])) df.xshape = x.shape ginputs = [rng.randn(*y.shape)] backward_function_tester(rng, df, ginputs, func_args=[], ctx=ctx, atol_f=1e-6, atol_accum=5e-2, non_accum_check=True)

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7

9a9212982223f7932361f7af95046253d186591c

120,649

py

Python

Ethernet/python/E_TC.py

wjasper/Linix_Drivers

9c5443f3c9d249f341b6b8580929f8cdbdba4079

[ "JasPer-2.0" ]

100

2016-11-08T15:41:43.000Z

2022-02-20T19:37:32.000Z

Ethernet/python/E_TC.py

wjasper/Linix_Drivers

9c5443f3c9d249f341b6b8580929f8cdbdba4079

[ "JasPer-2.0" ]

37

2017-01-05T17:48:14.000Z

2022-01-06T17:43:27.000Z

Ethernet/python/E_TC.py

wjasper/Linix_Drivers

9c5443f3c9d249f341b6b8580929f8cdbdba4079

[ "JasPer-2.0" ]

65

2016-12-20T07:03:44.000Z

2022-03-14T21:48:35.000Z

#! /usr/bin/python3 # # Copyright (c) 2018 Warren J. Jasper <wjasper@ncsu.edu> # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation; either # version 2.1 of the License, or (at your option) any later version. # # This library is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # Lesser General Public License for more details. # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA from datetime import datetime from struct import * from mccEthernet import * """ Configuration memory map |=================================================================| | Address | Value | |=================================================================| | 0x00 - 0x07 | Serial number (not used by firmware) | |-----------------------------------------------------------------| | 0x08 - 0x09 | Reserved | |-----------------------------------------------------------------| | 0x0A - 0x0F | MAC address | | | If all 6 bytes are 0xFF then the firmware will | | | use the Microchip unique MAC address that | | | is programmed into the micro. | |=================================================================| Settings memory map |=====================================================================================| | Address | Value | Default value | |=====================================================================================| | 0x000 - 0x001 | Network options: | 0x0000 | | | Bit 0: 0 = DHCP enabled 1 = DHCP disabled | | | | Bit 1: 0 = Auto IP enabled 1 = Auto IP disabled | | | | Bits 2-15 reserved | | |-------------------------------------------------------------------------------------| | 0x002 - 0x005 | Default IP address | 192.168.0.101 | |-------------------------------------------------------------------------------------| | 0x006 - 0x009 | Default subnet mask | 255.255.255.0 | |-------------------------------------------------------------------------------------| | 0x00A - 0x00D | Default gateway address | 192.168.0.1 | |-------------------------------------------------------------------------------------| | 0x00E - 0x00F | Reserved | | |-------------------------------------------------------------------------------------| | 0x010 - 0x011 | Reserved | | |-------------------------------------------------------------------------------------| | 0x012 - 0x015 | Connection code, 4 bytes | 0x00000000 | |-------------------------------------------------------------------------------------| | 0x016 - 0x01F | Reserved | | |=====================================================================================| Note: The settings do not take effect until after device is reset or power cycled. User memory map |=================================================================| | Address | Value | |=================================================================| | 0x000 - 0xDFF | Available for UL use | |=================================================================| """ ETC_PID = 0x0138 # Product code for the MCC E-TC CELSIUS = 0x0 # read in Celsius VOLTAGE = 0x1 # read in Voltage ADC_CODE = 0x2 # uncalibraded class E_TC: # Digital I/O Commands CMD_DIN = 0x00 # Read DIO pins CMD_DOUT_R = 0x02 # Read DIO latch value CMD_DOUT_W = 0x03 # Write DIO latch value CMD_DCONF_R = 0x04 # Read DIO configuration value CMD_DCONF_W = 0x05 # Write DIO configuration value # Temperature Input Commands CMD_TIN = 0x10 # Read single thermocouple channel CMD_CJC = 0x11 # Read single CJC sensor CMD_TIN_CONFIG_R = 0x12 # Read temperature channel configuration CMD_TIN_CONFIG_W = 0x13 # Write temperature channel configuration CMD_TIN_STATUS = 0x14 # Read temperature channel data status CMD_OTD_STATUS = 0x15 # Read open thermocouple detect data status CMD_MEASURE_CONFIG_R = 0x16 # Read measurement configuration CMD_MEASURE_CONFIG_W = 0x17 # Write measurement configuration CMD_MEASURE_MODE_R = 0x18 # Read measurement mode CMD_MEASURE_MODE_W = 0x19 # Write measurement mode CMD_FACTORY_COEF_R = 0x1A # Write factory calibration coefficients CMD_FACTORY_COEF_W = 0x1B # Write factory calibration coefficients CMD_FIELD_COEF_R = 0x1C # Read field calibration coefficients CMD_FIELD_COEF_W = 0x1D # Write field calibration coefficients CMD_FACTORY_CAL_DATE_R = 0x1E # Read factory calibration date CMD_FACTORY_CAL_DATE_W = 0x1F # Write factory calibration date CMD_FIELD_CAL_DATE_R = 0x20 # Read field calibration date CMD_FIELD_CAL_DATE_W = 0x21 # Write field calibration date CMD_AD_CAL = 0x22 # Run the A/D offset calibration CMD_CJC_OFFSET_R = 0x24 # Read user CJC offset values CMD_CJC_OFFSET_W = 0x25 # Write user CJC offset values # Alarm Commands CMD_ALARM_CONFIG_R = 0x28 # Read temperature alarm configuration CMD_ALARM_CONFIG_W = 0x29 # Write temperature alarm configuration CMD_ALARM_STATUS_R = 0x2A # Read temperature alarm status CMD_ALARM_STATUS_W = 0x2B # Clear temperature alarm status # Counter Commands CMD_COUNTER_R = 0x30 # Read event counter CMD_COUNTER_W = 0x31 # Write event counter # Memory Commands CMD_CONF_MEMORY_R = 0x40 # Read device configuration memory CMD_CONF_MEMORY_W = 0x41 # Write device configuration memory CMD_USER_MEMORY_R = 0x42 # Read user memory CMD_USER_MEMORY_W = 0x43 # Write user memory CDM_SETTINGS_MEMORY_R = 0x44 # Read network settings memory CMD_SETTINGS_MEMORY_W = 0x45 # Write network settings memory CMD_BOOT_MEMORY_R = 0x46 # Read bootloader memory CDM_BOOT_MEMORY_W = 0x47 # Write bootloader memory # Miscellaneous Commands CMD_BLINK_LED = 0x50 # Blink the LED CMD_RESET = 0x51 # Reset the device CMD_STATUS = 0x52 # Read device status CMD_NETWORK_CONFIG = 0x54 # Read the current network configuration CMD_FIRMWARE_UPGRADE = 0x60 # Enter firmware upgrade mode def __init__(self, device): self.device = device # inherit values from mccEthernetDevice self.channel_mask = 0 # the channel bitmask (channels 0-7) self.Tin_status = 0 # the reading status of the Tin channels self.OTD_status = 0 # the status of the open thermocouple detect self.config_measure = 0 # the measurement configuration self.mode_measure = 0 # the measurement mode self.units = 0 # the units for the returned values: 0 - Celsius, 1 - Voltage, 2 - ADC code (uncalibraded) self.wait = 0 # 0 - return current value, 1 - wait for new value before returning. self.Tin_values = [] # the values read from the configured channels self.CJC_offsets = [] # the per channel CJC user offsets self.CJC_value= [] # the CJC values in Celsius. self.config_values = bytearray(8) # the configuration value of each channel (type of thermocouple); self.alarm_status = 0 # the alarm status of each channel self.alarm_config = bytearray(8) # the alarm configuration self.alarm_threshold1 = [] # the alarm threshold 1 values in Celsius self.alarm_threshold2 = [] # the alarm threshold 2 values in Celsius self.calCoefFactory = [table(), table()] # the factory calibration coefficients (slope and offset). self.calCoefField = [table(), table()] # the field calibration coefficients (slope and offset). self.MACaddress() # get the MAC address return ################################# # Digital I/O Commands # ################################# def DIn(self): """ This command reads the current state of the DIO pins. A 0 in a bit position indicates the corresponding pin is reading a low state, and a 1 indicates a high state. """ dataCount = 0 replyCount = 1 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_DIN s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(16) except socket.timeout: raise TimeoutError('DIn: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True value = r_buffer[MSG_INDEX_DATA] try: if (result == False): raise ResultError except ResultError: print('Error in DIn E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return -1 return value def DOut_R(self): """ This command reads the DIO output latch value. The factory power on default is all zeros. A 0 in a bit position indicates the corresponding pin driver is low, a 1 indicates it is high. """ dataCount = 0 replyCount = 1 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_DOUT_R s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(16) except socket.timeout: raise TimeoutError('DOut_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True value = r_buffer[MSG_INDEX_DATA] try: if (result == False): raise ResultError except ResultError: print('Error in DOut_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return -1 return value def DOut(self, value): """ This command writes the DIO latch value. Writing a 0 to a bit will set the corresponding pin driver low, writing a 1 sets it high. If pin(s) are configured as alarm outputs, this command does not affect their value. """ dataCount = 1 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_DOUT_W s_buffer[MSG_INDEX_DATA] = value s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(16) except socket.timeout: raise TimeoutError('DOut: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in DOut E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def DConfig_R(self): """ This command reads the DIO configuration value. A 1 in a bit position indicates the corresponding pin is set to an input, a 0 indicates it is set to an output. The power on devault is all 1 (input) """ dataCount = 0 replyCount = 1 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_DCONF_R s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(16) except socket.timeout: raise TimeoutError('DConfig_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True value = r_buffer[MSG_INDEX_DATA] try: if (result == False): raise ResultError except ResultError: print('Error in DConfig_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return -1 return value def DConfig_W(self, value): """ This command writes the configuration value. A 1 in a bit position sets the corresponding pin to an input, a 0 sets it to an output. The power on default is all ones (input). If one or more alarms are configured, they will force the corresponding DIO bit to and output and may not be overridden with this command. """ dataCount = 1 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_DCONF_W s_buffer[MSG_INDEX_DATA] = value s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(16) except socket.timeout: raise TimeoutError('DConfig_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in DConfig_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) ############################################# # Temperature Input Commands # ############################################# def Tin(self, channel_mask, units, wait): """ This command reads the value of one or more thermocouple channels. The channels to be read are passed as a bitmask when calling the command. The data will be returned in the order low channel number to high channel. The number of floating point values returned will be equal to the number of channels specified (max 8). Each temperature is calculated by performing cold junction compensation as follows: T = reverse_nist_function(Vin + Vcjc), where Vin is input voltage, Vcjc is calculated cold junction voltage based on the terminal temperature, and reverse_nist_function() is the NIST thermocouple polynomial for voltage to temperature. Vcjc = nist_function(Tcjc), where Tcjc is the temperature of the screw terminal and nist_function() is the NIST thermocouple polynomial for temperature to voltage. Tcjc = Tsensor + Toffset + Tuser, where Tsensor is the appropriate CJC sensor temperature, Toffset is a per-channel offset characterized over a number of boards and fixed in firmware, and Tuser is an optional user-specified offset (see CJCOffset_r and CJCOffset_w). There are some special return values: -6666.0: Over range on input (temperature < -300C, only reported with units = 0) -8888.0: Open thermocouple detected (only reported with units = 0) -9999.0: Channel disabled channel_mask: bitmask, the channels to be read units: the units for the returned values 0 - Celsius, linerarized by TC type 1 - Voltage 2 - ADC code (uncalibrated) wait: 0 - return current value, 1 - wait for new readings before returning """ dataCount = 3 replyCount = 4*self.nBits8(channel_mask) result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_TIN s_buffer[MSG_INDEX_DATA] = channel_mask & 0xff s_buffer[MSG_INDEX_DATA+1] = units & 0xff s_buffer[MSG_INDEX_DATA+2] = wait & 0xff s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.5) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(128) except socket.timeout: raise TimeoutError('Tin: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True value = list(unpack_from('f'*self.nBits8(channel_mask), r_buffer, MSG_INDEX_DATA)) try: if (result == False): raise ResultError except ResultError: print('Error in Tin E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return value def CJC(self): """ This command reads the most recent value of the CJC sensors in Celsius. """ dataCount = 0 replyCount = 8 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_CJC s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('CJC: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True self.CJC_value = list(unpack_from('ff', r_buffer, MSG_INDEX_DATA)) try: if (result == False): raise ResultError except ResultError: print('Error in CJC E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return False return self.CJC_value def TinConfig_R(self): """ This command reads the thermocouple channel configurations. Each configuration is a uint8_t with the following possible values: 0 - channel disabled 1 - TC type J 2 - TC type K 3 - TC type T 4 - TC type E 5 - TC type R 6 - TC type S 7 - TC type B 8 - TC type N """ dataCount = 0 replyCount = 8 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_TIN_CONFIG_R s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('TinConfig_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True for i in range(8): self.config_values[i]= r_buffer[MSG_INDEX_DATA+i] try: if (result == False): raise ResultError except ResultError: print('Error in TinConfig_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def TinConfig_W(self): """ This command writes the thermocouple channel configurations. The micro stores these values in EEPROM and loads them from EEPROM at power on. Each configuration is a uint8_t with the following possible values: 0 - channel disabled 1 - TC type J 2 - TC type K 3 - TC type T 4 - TC type E 5 - TC type R 6 - TC type S 7 - TC type B 8 - TC type N """ dataCount = 8 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_TIN_CONFIG_W s_buffer[MSG_INDEX_START] = MSG_START for i in range(8): s_buffer[MSG_INDEX_DATA+i] = self.config_values[i] s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('TinConfig_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in TinConfig_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def TinStatus(self): """ This command reads the status of the temperature readings. If a bit is set the corresponding channel has a new reading that has not been read with the Tin command. """ dataCount = 0 replyCount = 1 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_TIN_STATUS s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('TinStatus: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True self.Tin_status ,= unpack_from('B', r_buffer, MSG_INDEX_DATA) try: if (result == False): raise ResultError except ResultError: print('Error in TinStatus E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return -1 return self.Tin_status def OTDStatus(self): """ This command reads the status of the open thermocouple detection. If a bit is set an open thermocouple is currently detected on the corresponding channel. """ dataCount = 0 replyCount = 1 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_OTD_STATUS s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('OTDStatus: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True self.OTD_status ,= unpack_from('B', r_buffer, MSG_INDEX_DATA) try: if (result == False): raise ResultError except ResultError: print('Error in OTDStatus E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return -1 return self.OTD_status def MeasureConfig_R(self): """ This command reads the measurement configuration. bit 0: OTD disable 0 - OTD enable, 1 - OTD disabled bit 1: Coefficient select 0 - factory coefficients 1 - field coefficients bit 2-7: Reserved """ dataCount = 0 replyCount = 1 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_MEASURE_CONFIG_R s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('MeasureConfig_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True self.config_measure ,= unpack_from('B', r_buffer, MSG_INDEX_DATA) try: if (result == False): raise ResultError except ResultError: print('Error in MeasureConfig_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return -1 return self.config_measure def MeasureConfig_W(self): """ This command writes the measurement configuration. bit 0: OTD disable 0 - OTD enable, 1 - OTD disabled bit 1: Coefficient select 0 - factory coefficients 1 - field coefficients bit 2-7: Reserved """ dataCount = 1 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_MEASURE_CONFIG_W s_buffer[MSG_INDEX_DATA] = self.config_measure s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('MeasureConfig_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in MeasureConfig_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def MeasureMode_R(self): """ This command reads the measurement mode. The power on default is mode 0 (normal mode) mode_base: the measurement mode for the base unit: 0 = Normal mode, the measurement loop converts all of the configured channels in sequence 1 = Test mode: the muxes are fixed on channel 0 and 4 and the ADCs continuously convert those channels. 2 = Offset measure mode: offset cal circuit is connected to cal mux and all conversions are performed on that input. Value is stored in channel 0 and 4. """ dataCount = 0 replyCount = 1 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_MEASURE_MODE_R s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('MeasureMode_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True self.mode_measure ,= unpack_from('B', r_buffer, MSG_INDEX_DATA) try: if (result == False): raise ResultError except ResultError: print('Error in MeasureMode_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return -1 return self.mode_measure def MeasureMode_W(self): """ This command writes the measurement mode. The power on default is mode 0 (normal mode) mode_base: the measurement mode for the base unit: 0 = Normal mode, the measurement loop converts all of the configured channels in sequence 1 = Test mode: the muxes are fixed on channel 0 and 4 and the ADCs continuously convert those channels. 2 = Offset measure mode: offset cal circuit is connected to cal mux and all conversions are performed on that input. Value is stored in channel 0 and 4. """ dataCount = 1 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_MEASURE_MODE_W s_buffer[MSG_INDEX_DATA] = self.mode_measure s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('MeasureMode_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in MeasureMode_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def FactoryCoefficients_R(self): """ This command reads the factory calibration coefficients. Each coefficient is a float. The firmware applies the coefficients when calculating the voltage and temperature values for each channel. The coefficients are applied immediately and stored in the EEPROM. """ dataCount = 0 replyCount = 1 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_FACTORY_COEF_R s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('FactoryCoefficients_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True self.calCoefFactory[0].slope ,= unpack_from('f', r_buffer, MSG_INDEX_DATA) self.calCoefFactory[1].slope ,= unpack_from('f', r_buffer, MSG_INDEX_DATA+4) self.calCoefFactory[0].intercept ,= unpack_from('f', r_buffer, MSG_INDEX_DATA+8) self.calCoefFactory[1].intercept ,= unpack_from('f', r_buffer, MSG_INDEX_DATA+12) try: if (result == False): raise ResultError except ResultError: print('Error in FactoryCoefficients_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def FactoryCoefficients_W(self): """ This command writes the factory calibration coefficients. The microcontroller stores the values in EEPROM and restores them at power on. """ dataCount = 16 # 4*sizeof(float) replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_FACTORY_COEF_W pack_into('ffff', s_buffer, MSG_INDEX_DATA, self.calCoefFactory[0].slope, self.calCoefFactory[1].slope, \ self.calCoefFactory[0].intercept, self.calCoefFactory[1].intercept) s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('FactoryCoefficients_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in FactoryCoefficients_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def FieldCoefficients_R(self): """ This command reads the field calibration coefficients. Each coefficient is a float. The firmware applies the coefficients when calculating the voltage and temperature values for each channel. The coefficients are applied immediately and stored in the EEPROM. """ dataCount = 0 replyCount = 1 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_FIELD_COEF_R s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('FieldCoefficients_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True self.calCoefField[0].slope ,= unpack_from('f', r_buffer, MSG_INDEX_DATA) self.calCoefField[1].slope ,= unpack_from('f', r_buffer, MSG_INDEX_DATA+4) self.calCoefField[0].intercept ,= unpack_from('f', r_buffer, MSG_INDEX_DATA+8) self.calCoefField[1].intercept ,= unpack_from('f', r_buffer, MSG_INDEX_DATA+12) if (result == False): print('Error in FieldCoefficients_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return result def FieldCoefficients_W(self): """ This command writes the field calibration coefficients. The microcontroller stores the values in EEPROM and restores them at power on. """ dataCount = 16 # 4*sizeof(float) replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_FIELD_COEF_W pack_into('ffff', s_buffer, MSG_INDEX_DATA, self.calCoefField[0].slope, self.calCoefField[1].slope, \ self.calCoefField[0].intercept, self.calCoefField[1].intercept) s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('FieldCoefficients_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in FieldCoefficients_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def FactoryCalDate_R(self): """ This command reads the factory calibration date """ dataCount = 0 replyCount = 6 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_FACTORY_CAL_DATE_R s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('FactoryCalDate_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True year ,= unpack_from('B', r_buffer, MSG_INDEX_DATA) year += 2000 month ,= unpack_from('B', r_buffer, MSG_INDEX_DATA+1) day ,= unpack_from('B', r_buffer, MSG_INDEX_DATA+2) hour ,= unpack_from('B', r_buffer, MSG_INDEX_DATA+3) minute ,= unpack_from('B', r_buffer, MSG_INDEX_DATA+4) second ,= unpack_from('B', r_buffer, MSG_INDEX_DATA+5) mdate = datetime(year, month, day, hour, minute, second) try: if (result == False): raise ResultError except ResultError: print('Error in FactoryCalDate_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return mdate def FactoryCalDate_W(self, mdate): """ This command writes the factory calibration date. """ dataCount = 6 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_FACTORY_CAL_DATE_W s_buffer[MSG_INDEX_DATA] = mdate.year - 2000 s_buffer[MSG_INDEX_DATA+1] = mdate.month s_buffer[MSG_INDEX_DATA+2] = mdate.day s_buffer[MSG_INDEX_DATA+3] = mdate.hour s_buffer[MSG_INDEX_DATA+4] = mdate.minute s_buffer[MSG_INDEX_DATA+5] = mdate.second s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('FactoryCalDate_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in FactoryCalDate_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def FieldCalDate_R(self): """ This command reads the field calibration date. """ dataCount = 0 replyCount = 6 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_FIELD_CAL_DATE_R s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('FieldCalDate_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True year ,= unpack_from('B', r_buffer, MSG_INDEX_DATA) year += 2000 month ,= unpack_from('B', r_buffer, MSG_INDEX_DATA+1) day ,= unpack_from('B', r_buffer, MSG_INDEX_DATA+2) hour ,= unpack_from('B', r_buffer, MSG_INDEX_DATA+3) minute ,= unpack_from('B', r_buffer, MSG_INDEX_DATA+4) second ,= unpack_from('B', r_buffer, MSG_INDEX_DATA+5) mdate = datetime(year, month, day, hour, minute, second) try: if (result == False): raise ResultError except ResultError: print('Error in FieldCalDate_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return mdate def FieldCalDate_W(self, mdate): """ This command writes the field calibration date. """ dataCount = 6 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_FACTORY_CAL_DATE_W s_buffer[MSG_INDEX_DATA] = mdate.year - 2000 s_buffer[MSG_INDEX_DATA+1] = mdate.month s_buffer[MSG_INDEX_DATA+2] = mdate.day s_buffer[MSG_INDEX_DATA+3] = mdate.hour s_buffer[MSG_INDEX_DATA+4] = mdate.minute s_buffer[MSG_INDEX_DATA+5] = mdate.second s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('FieldCalDate_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in FieldCalDate_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def ADCal(self): """ This command causes the measurement loop to pause and an A/D system offset calibration to run. The calibration requires approximately 800ms to complete then the measurement loop automatically returns to the current mode. The calibration will run on both A/Ds simultaneously. The command reply will not be sent until the calibration completes. """ dataCount = 0 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_AD_CAL s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(1.0) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('ADCal: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in ADCal E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def CJCOffset_R(self): """ This command reads the CJC user offset values. Each value is added to the appropriate CJC sensor and factory offset reading prior to performing te NIST calculation for the temperature for that channel. """ dataCount = 0 replyCount = 32 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_CJC_OFFSET_R s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(128) except socket.timeout: raise TimeoutError('CJCOffset_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True self.CJC_offset = list(unpack_from('f'*8, r_buffer, MSG_INDEX_DATA)) try: if (result == False): raise ResultError except ResultError: print('Error in CJCOffset_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def CJCOffset_W(self): """ This command writes the CJC user offset values. Each value is added to the appropriate CJC sensor and factory offset reading prior to performing te NIST calculation for the temperature for that channel. """ dataCount = 32 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_CJC_OFFSET_W for i in range(8): pack_into('f', s_buffer, MSG_INDEX_DATA+i, self.CJCOffset[i]) s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(128) except socket.timeout: raise TimeoutError('CJCOffset_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True self.CJC_offset = list(unpack_from('f'*8, r_buffer, MSG_INDEX_DATA)) try: if (result == False): raise ResultError except ResultError: print('Error in CJCOffset_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) #################################### # Alarm Commands # #################################### def AlarmConfig_R(self): """ This command reads the temperature alarm configurations. There are configuration values and two threshold values for each of the thermocouple channels. alarm_config: the alarm configuration bit 0: Alarm enable 0 - alarm disabled, associated bit is controlled by DOut 1 - alarm enabled, associated bit is controlled by status bit 1: Alarm invert 0 - normal polarity (output is low when in alarm condition) 1 - inverted polarity (output is high when in alarm condition) bits 2-3: Alarm type 0 - High level: alarm when reading >= threshold 1, reset when reading < threshold 2 1 - Low level: alarm when reading <= threshold 1, reset when reading > threshold 2 2 - Outside window: alarm when reading < threshold 1 or > threshold 2 bit 4: Alarm latch 0 - no latch, alarm output status indicates current state of alarm 1 - latch, alarm output is active if an alarm condition is detected and remains active until cleared with AlarmStatus command bits 5-6: Error alarms 00 - Alarm can only be set by valid temperature reading 01 - An open thermocouple or common-mode voltage error will also set the alarm 10 - Only an open thermocouple or common-mode voltage will set the alarm, termperature is ignored. 11 - invalid. bit 7: reserved. threshold1: float[8] the new alarm threshold 1 values in Celsius threshold2: float[8] the new alarm threshold 2 values in Celsius """ dataCount = 0 replyCount = 72 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_ALARM_CONFIG_R s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(592) except socket.timeout: raise TimeoutError('AlarmConfig_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True self.alarm_config = list(unpack_from('B'*8, r_buffer, MSG_INDEX_DATA)) self.alarm_threshold1 = list(unpack_from('f'*8, r_buffer, MSG_INDEX_DATA+8)) self.alarm_threshold2 = list(unpack_from('f'*8, r_buffer, MSG_INDEX_DATA+40)) try: if (result == False): raise ResultError except ResultError: print('Error in AlarmConfig_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def AlarmConfig_W(self): """ This command writesthe temperature alarm configurations. There are configuration values and two threshold values for each of the thermocouple channels. The configuration is stored in EEPROM and restored at power on. alarm_config: the alarm configuration bit 0: Alarm enable 0 - alarm disabled, associated bit is controlled by DOut 1 - alarm enabled, associated bit is controlled by status bit 1: Alarm invert 0 - normal polarity (output is low when in alarm condition) 1 - inverted polarity (output is high when in alarm condition) bits 2-3: Alarm type 0 - High level: alarm when reading >= threshold 1, reset when reading < threshold 2 1 - Low level: alarm when reading <= threshold 1, reset when reading > threshold 2 2 - Outside window: alarm when reading < threshold 1 or > threshold 2 bit 4: Alarm latch 0 - no latch, alarm output status indicates current state of alarm 1 - latch, alarm output is active if an alarm condition is detected and remains active until cleared with AlarmStatus command bits 5-6: Error alarms 00 - Alarm can only be set by valid temperature reading 01 - An open thermocouple or common-mode voltage error will also set the alarm 10 - Only an open thermocouple or common-mode voltage will set the alarm, termperature is ignored. 11 - invalid. bit 7: reserved. threshold1: float[8] the new alarm threshold 1 values in Celsius threshold2: float[8] the new alarm threshold 2 values in Celsius """ dataCount = 72 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_ALARM_CONFIG_W for i in range(8): pack_into('B', s_buffer, MSG_INDEX_DATA+i, self.alarm_config[i]) for i in range(8): pack_into('f', s_buffer, MSG_INDEX_DATA+8+i, self.alarm_threshold1[i]) for i in range(8): pack_into('f', s_buffer, MSG_INDEX_DATA+40+i, self.alarm_threshold2[i]) s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(592) except socket.timeout: raise TimeoutError('AlarmConfig_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in AlarmConfig_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def AlarmStatus_R(self): """ This command reads the status of the temperature alarms. If a bit is set an alarm condition exists or is latched on the corresponding channel. If the alarm is configured for latching then the status will not clear when the alarm condition is no longer present. It must be cleared by writing a 1 to the corresponding bit using the AlarmStatusW command. """ dataCount = 0 replyCount = 1 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_ALARM_STATUS_R s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('AlarmStatus_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True self.alarm_status = r_buffer[MSG_INDEX_DATA] try: if (result == False): raise ResultError except ResultError: print('Error in AlarmStatus_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return self.alarm_status def AlarmStatus_W(self): """ This command clears the alarm status. Writing a 1 to a bit will dlear the status for the corresponding channel. """ dataCount = 1 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_ALARM_STATUS_W s_buffer[MSG_INDEX_DATA] = self.alarm_status s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('AlarmStatus_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in AlarmStatus_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) ################################# # Counter Commands # ################################# def Counter(self): """ This command reads the event counter """ dataCount = 0 replyCount = 4 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_COUNTER_R s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('Counter: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True value ,= unpack_from('I', r_buffer, MSG_INDEX_DATA) try: if (result == False): raise ResultError except ResultError: print('Error in counter E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return-1 return value def ResetCounter(self): """ This command resets the event counter. On a write, the counter will be reset to 0. """ dataCount = 0 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_COUNTER_W s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('ResetCounter: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in restCounter E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) ################################# # Miscellaneous Commands # ################################# def Blink(self, count=1): """ This command will blink the device power LED "count" times """ dataCount = 1 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_BLINK_LED s_buffer[MSG_INDEX_DATA] = count s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(16) except socket.timeout: raise TimeoutError('Blink: timout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in blink E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def Reset(self): """ This command resets the device """ dataCount = 0 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_RESET s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(16) except socket.timeout: raise TimeoutError('Reset: timout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in reset E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def Status(self): """ This command reads the device status bits 0-15: Reserved """ dataCount = 0 replyCount = 2 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_STATUS s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(16) except socket.timeout: raise TimeoutError('Status: timout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True status = r_buffer[MSG_INDEX_DATA] | (r_buffer[MSG_INDEX_DATA+1]<<8 & 0xff) try: if (result == False): raise ResultError except ResultError: print('Error in status E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return status def NetworkConfig(self): """ This command reads the current network configuration. Returns tuple (ip_address, subnet_mask, gateway_address) """ dataCount = 0 replyCount = 12 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_NETWORK_CONFIG s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(64) except socket.timeout: raise TimeoutError('NetworkConfig: timout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True data = unpack_from('III', r_buffer, MSG_INDEX_DATA) value = (socket.inet_ntoa(pack('L', data[0])), socket.inet_ntoa(pack('L', data[1])), socket.inet_ntoa(pack('L', data[2]))) try: if (result == False): raise ResultError except ResultError: print('Error in networkConfig E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return value ################################# # Memory Commands # ################################# def ConfigMemory_R(self, address, count): """ This command reads the nonvolatile configuration memory. The configuration memory is """ if (count > 16 or address > 0xf): return False dataCount = 4 replyCount = count result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_CONF_MEMORY_R s_buffer[MSG_INDEX_DATA] = address & 0xff s_buffer[MSG_INDEX_DATA+1] = (address>>8) & 0xff s_buffer[MSG_INDEX_DATA+2] = count & 0xff s_buffer[MSG_INDEX_DATA+3] = (count>>8) & 0xff s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(1024) except socket.timeout: raise TimeoutError('ConfigMemory_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True value = r_buffer[MSG_INDEX_DATA:MSG_INDEX_DATA+replyCount] try: if (result == False): raise ResultError except ResultError: print('Error in ConfigMemory_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return value def ConfigMemory_W(self, address, count, data): """ This command writes the nonvolatile configuration memory. The config memory is 16 bytes (address 0 - 0xf) The config memory should only be written during factory setup. address: the start address for writing (0-0xf) data: the data to be written (frame count -2) """ if (count > 16 or address > 0xf): return False dataCount = count + 2 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_CONF_MEMORY_W s_buffer[MSG_INDEX_DATA] = address & 0xff s_buffer[MSG_INDEX_DATA+1] = (address>>8) & 0xff for i in range(count): s_buffer[MSG_INDEX_DATA+2+i] = data[i] s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(1024) except socket.timeout: raise TimeoutError('ConfigMemory_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in configMemory_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def UserMemory_R(self, address, count): """ This command reads the nonvolatile user memory. The user memory is 3583 bytes (address 0 - 0xdff) address: the start address for reading (0-0xdff) count: the number of bytes to read (max 1024 due to protocol) """ if (count > 1024 or address > 0xdff): return False dataCount = 4 replyCount = count result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_USER_MEMORY_R s_buffer[MSG_INDEX_DATA] = address & 0xff s_buffer[MSG_INDEX_DATA+1] = (address>>8) & 0xff s_buffer[MSG_INDEX_DATA+2] = count & 0xff s_buffer[MSG_INDEX_DATA+3] = (count>>8) & 0xff s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(1050) except socket.timeout: raise TimeoutError('UserMemory_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True value = int.from_bytes(r_buffer[MSG_INDEX_DATA:MSG_INDEX_DATA+replyCount], byteorder='little') try: if (result == False): raise ResultError except ResultError: print('Error in UserMemory_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return value def UserMemory_W(self, address, count, data): """ This command writes the nonvolatile user memory. The user memory is 3583 bytes (address 0 - 0xdff). The amount of data to be written is inferred from the frame count - 2. The maximum that can be written in one transfer is 1024 bytes. """ if (count > 512 or address > 0xdff): return False dataCount = count + 2 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_USER_MEMORY_W s_buffer[MSG_INDEX_DATA] = address & 0xff s_buffer[MSG_INDEX_DATA+1] = (address>>8) & 0xff for i in range(count): s_buffer[MSG_INDEX_DATA+2+i] = data[i] s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(1024) except socket.timeout: raise TimeoutError('UserMemory_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in UserMemory_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def SettingsMemory_R(self, address, count): """ This command reads the nonvolatile settings memory. The settings memory is 32 bytes (address 0 - 0x1f) address: the start address for reading (0-0x1f) count: the number of bytes to read (max 32 due to protocol) """ if (count > 32 or address > 0x1f): return False dataCount = 4 replyCount = count result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CDM_SETTINGS_MEMORY_R s_buffer[MSG_INDEX_DATA] = address & 0xff s_buffer[MSG_INDEX_DATA+1] = (address>>8) & 0xff s_buffer[MSG_INDEX_DATA+2] = count & 0xff s_buffer[MSG_INDEX_DATA+3] = (count>>8) & 0xff s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(1024) except socket.timeout: raise TimeoutError('SettingsMemory_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True value = int.from_bytes(r_buffer[MSG_INDEX_DATA:MSG_INDEX_DATA+replyCount], byteorder='little') try: if (result == False): raise ResultError except ResultError: print('Error in SettingsMemory_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return -1 return value def SettingsMemory_W(self, address, count, data): """ This command writes to the nonvolatile settings memory. The settings memory is 32 bytes (address 0 - 0x1f). The amount of data to be written is inferred from the frame count - 2. The maximum that can be written in one transfer is 32 bytes. The settings will be implemented after a device reset. """ if (count > 256 or address > 0x1f): return False dataCount = count + 2 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_SETTINGS_MEMORY_W s_buffer[MSG_INDEX_DATA] = address & 0xff s_buffer[MSG_INDEX_DATA+1] = (address>>8) & 0xff for i in range(count): s_buffer[MSG_INDEX_DATA+2+i] = data[i] s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(1024) except socket.timeout: raise TimeoutError('SettingsMemory_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in SettingsMemory_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def BootloaderMemory_R(self, address, count): """ This command reads the bootloader stored in nonvolatile FLASH memory. The bootloader is located in program FLASH memory in two physical address ranges: 0x1D000000 - 0x1D007FFF for bootloader code and 0x1FC00000 - 0x1FC01FFF for C startup code and interrupts. Reads may be performed at any time. address: the start address for reading (see above) count: the number of bytes to read (max 1024) """ if (count > 1024): return False if (not((address >= 0x1d000000 and address <= 0x1d007fff) or (address >= 0x1fc00000 and address <= 0x1fc01fff))): return False dataCount = 4 replyCount = count result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_BOOT_MEMORY_R s_buffer[MSG_INDEX_DATA] = address & 0xff s_buffer[MSG_INDEX_DATA+1] = (address>>8) & 0xff s_buffer[MSG_INDEX_DATA+2] = count & 0xff s_buffer[MSG_INDEX_DATA+3] = (count>>8) & 0xff s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(2048) except socket.timeout: raise TimeoutError('BootloaderMemory_R: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True value = int.from_bytes(r_buffer[MSG_INDEX_DATA:MSG_INDEX_DATA+replyCount], byteorder='little') try: if (result == False): raise ResultError except ResultError: print('Error in BootloaderMemory_R E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) return value def BootloaderMemory_W(self, address, count, data): """ This command writes the bootloader stored in nonvolatile FLASH memory. The bootloader is located in program FLASH memory in two physical address ranges: 0x1D000000 - 0x1D007FFF for bootloader code and 0x1FC00000 - 0x1FC01FFF for C startup code and interrupts. Writes outside these ranges are ignored. The bootloader memory is write protected and must be unlocked in order to write the memory. The unlock proceedure is to write the unlock code 0xAA55 to address 0xFFFFFFFE. Writes to the entire memory range are then possible. Write any other value to address 0xFFFFFFFE to lock the memory after writing. The FLASH memory must be erased prior to programming. A bulk erase is perfomred by writing 0xAA55 to address 0x80000000 after unlocking the memory for write. The bulk erase will require approximately 150ms to complete. Once the erase is complete, the memory may be written; however, the device will not be able to boot unless it has a valid bootloader so the device shold not be reset until the bootloader is completely written and verified using BootloaderMemory_R(). The writes are perfomred on 4-byte boundaries internally and it is recommended that the output data be sent in the same manner. The amount of data to be written is inferred frolm the frame count - 2. The maximum count value is 1024. """ if (count > 1024): return False if (not((address >= 0x1d000000 and address <= 0x1d007fff) or (address >= 0x1fc00000 and address <= 0x1fc01fff))): return False dataCount = count + 2 replyCount = 0 result = False s_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+dataCount) # send buffer r_buffer = bytearray(MSG_HEADER_SIZE+MSG_CHECKSUM_SIZE+replyCount) # reply buffer s_buffer[MSG_INDEX_COMMAND] = self.CMD_BOOT_MEMORY_W s_buffer[MSG_INDEX_DATA] = address & 0xff s_buffer[MSG_INDEX_DATA+1] = (address>>8) & 0xff for i in range(count): s_buffer[MSG_INDEX_DATA+2+i] = data[i] s_buffer[MSG_INDEX_START] = MSG_START s_buffer[MSG_INDEX_FRAME] = self.device.frameID self.device.frameID = (self.device.frameID + 1) % 256 # increment frame ID with every send s_buffer[MSG_INDEX_STATUS] = 0 s_buffer[MSG_INDEX_COUNT_LOW] = (dataCount & 0xff) s_buffer[MSG_INDEX_COUNT_HIGH] = ((dataCount>>8) & 0xff) s_buffer[MSG_INDEX_DATA+dataCount] = 0xff - self.device.calcChecksum(s_buffer, MSG_INDEX_DATA+dataCount) self.device.sock.settimeout(.1) self.device.sendMessage(s_buffer) try: r_buffer = self.device.sock.recv(2048) except socket.timeout: raise TimeoutError('BootloaderMemory_W: timeout error.') return if len(r_buffer) == MSG_HEADER_SIZE + MSG_CHECKSUM_SIZE + replyCount: if r_buffer[MSG_INDEX_START] == s_buffer[0] and \ r_buffer[MSG_INDEX_COMMAND] == s_buffer[MSG_INDEX_COMMAND] | MSG_REPLY and \ r_buffer[MSG_INDEX_FRAME] == s_buffer[2] and \ r_buffer[MSG_INDEX_STATUS] == MSG_SUCCESS and \ r_buffer[MSG_INDEX_COUNT_LOW] == replyCount & 0xff and \ r_buffer[MSG_INDEX_COUNT_HIGH] == (replyCount >> 8) & 0xff and \ r_buffer[MSG_INDEX_DATA+replyCount] + self.device.calcChecksum(r_buffer,(MSG_HEADER_SIZE+replyCount)) == 0xff : result = True try: if (result == False): raise ResultError except ResultError: print('Error in BootloaderMemory_W E-TC. Status =', hex(r_buffer[MSG_INDEX_STATUS])) def MACaddress(self): """ Gets the MAC address """ address = 0x0a value = self.ConfigMemory_R(address, 6) self.device.MAC = (value[0]<<40) + (value[1]<<32) + (value[2]<<24) + (value[3]<<16) + (value[4]<<8) + value[5] return self.device.MAC @staticmethod def nBits8(num): """ counts the number of bits in a number """ count = 0 for i in range(8): if ((num & 0x1) == 0x1): count += 1 num >>= 0x1 return count

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9ade7e44fc2d0b258a78d136b35721e2f2d9919d

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Python

napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

64

2016-10-20T15:47:18.000Z

2021-11-11T11:57:32.000Z

napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

126

2016-10-05T10:36:14.000Z

2019-05-15T08:43:23.000Z

napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

63

2016-11-07T15:23:08.000Z

2021-09-22T14:41:16.000Z

# -*- coding: utf-8 -*- from operator import attrgetter from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType from pyangbind.lib.yangtypes import RestrictedClassType from pyangbind.lib.yangtypes import TypedListType from pyangbind.lib.yangtypes import YANGBool from pyangbind.lib.yangtypes import YANGListType from pyangbind.lib.yangtypes import YANGDynClass from pyangbind.lib.yangtypes import ReferenceType from pyangbind.lib.base import PybindBase from collections import OrderedDict from decimal import Decimal from bitarray import bitarray import six # PY3 support of some PY2 keywords (needs improved) if six.PY3: import builtins as __builtin__ long = int elif six.PY2: import __builtin__ class config(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance - based on the path /network-instances/network-instance/protocols/protocol/isis/interfaces/interface/levels/level/afi-safi/af/segment-routing/adjacency-sids/adjacency-sid/config. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Configuraton parameters relating to the AdjSID. """ __slots__ = ( "_path_helper", "_extmethods", "__sid_id", "__protection_eligible", "__group", "__neighbor", ) _yang_name = "config" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__sid_id = YANGDynClass( base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), RestrictedClassType( base_type=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), restriction_dict={"pattern": "[0-9a-fA-F:\\.]*"}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={"DYNAMIC": {}}, ), ], is_leaf=True, yang_name="sid-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="union", is_config=True, ) self.__protection_eligible = YANGDynClass( base=YANGBool, default=YANGBool("true"), is_leaf=True, yang_name="protection-eligible", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=True, ) self.__group = YANGDynClass( base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=True, ) self.__neighbor = YANGDynClass( base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="neighbor", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=True, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [ "network-instances", "network-instance", "protocols", "protocol", "isis", "interfaces", "interface", "levels", "level", "afi-safi", "af", "segment-routing", "adjacency-sids", "adjacency-sid", "config", ] def _get_sid_id(self): """ Getter method for sid_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/sid_id (union) YANG Description: The value of the Adj-SID to be advertised. Where a static SID identifier is specified, this should be advertised directly by the system. Where the DYNAMIC value is specified, this should be treated as a dynamically allocated value. When the MPLS data plane is in use the dynamic value should not fall within a reserved-label-block. """ return self.__sid_id def _set_sid_id(self, v, load=False): """ Setter method for sid_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/sid_id (union) If this variable is read-only (config: false) in the source YANG file, then _set_sid_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_sid_id() directly. YANG Description: The value of the Adj-SID to be advertised. Where a static SID identifier is specified, this should be advertised directly by the system. Where the DYNAMIC value is specified, this should be treated as a dynamically allocated value. When the MPLS data plane is in use the dynamic value should not fall within a reserved-label-block. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), RestrictedClassType( base_type=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), restriction_dict={"pattern": "[0-9a-fA-F:\\.]*"}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={"DYNAMIC": {}}, ), ], is_leaf=True, yang_name="sid-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="union", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """sid_id must be of a type compatible with union""", "defined-type": "openconfig-network-instance:union", "generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': ['16..1048575']}),RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'IPV4_EXPLICIT_NULL': {'value': 0}, 'ROUTER_ALERT': {'value': 1}, 'IPV6_EXPLICIT_NULL': {'value': 2}, 'IMPLICIT_NULL': {'value': 3}, 'ENTROPY_LABEL_INDICATOR': {'value': 7}, 'NO_LABEL': {}},),RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}),RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'DYNAMIC': {}},),], is_leaf=True, yang_name="sid-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='union', is_config=True)""", } ) self.__sid_id = t if hasattr(self, "_set"): self._set() def _unset_sid_id(self): self.__sid_id = YANGDynClass( base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), RestrictedClassType( base_type=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), restriction_dict={"pattern": "[0-9a-fA-F:\\.]*"}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={"DYNAMIC": {}}, ), ], is_leaf=True, yang_name="sid-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="union", is_config=True, ) def _get_protection_eligible(self): """ Getter method for protection_eligible, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/protection_eligible (boolean) YANG Description: Whether the Adj-SID should be considered to be eligible for protection using IP or MPLS FRR during a network failure. When this value is set to true, the B-flag of the Adj-SID is set to 1, and the local system should provide FRR paths for the associated label forwarding entry. When it is set to false, the local system must not provide FRR for the specified LFIB entry. """ return self.__protection_eligible def _set_protection_eligible(self, v, load=False): """ Setter method for protection_eligible, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/protection_eligible (boolean) If this variable is read-only (config: false) in the source YANG file, then _set_protection_eligible is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_protection_eligible() directly. YANG Description: Whether the Adj-SID should be considered to be eligible for protection using IP or MPLS FRR during a network failure. When this value is set to true, the B-flag of the Adj-SID is set to 1, and the local system should provide FRR paths for the associated label forwarding entry. When it is set to false, the local system must not provide FRR for the specified LFIB entry. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=YANGBool, default=YANGBool("true"), is_leaf=True, yang_name="protection-eligible", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """protection_eligible must be of a type compatible with boolean""", "defined-type": "boolean", "generated-type": """YANGDynClass(base=YANGBool, default=YANGBool("true"), is_leaf=True, yang_name="protection-eligible", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=True)""", } ) self.__protection_eligible = t if hasattr(self, "_set"): self._set() def _unset_protection_eligible(self): self.__protection_eligible = YANGDynClass( base=YANGBool, default=YANGBool("true"), is_leaf=True, yang_name="protection-eligible", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=True, ) def _get_group(self): """ Getter method for group, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/group (boolean) YANG Description: When set to true, the Adj-SID is indicated to be part of a group, and the G flag is set to 1 in the corresponding advertisement in the IGP. """ return self.__group def _set_group(self, v, load=False): """ Setter method for group, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/group (boolean) If this variable is read-only (config: false) in the source YANG file, then _set_group is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_group() directly. YANG Description: When set to true, the Adj-SID is indicated to be part of a group, and the G flag is set to 1 in the corresponding advertisement in the IGP. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """group must be of a type compatible with boolean""", "defined-type": "boolean", "generated-type": """YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=True)""", } ) self.__group = t if hasattr(self, "_set"): self._set() def _unset_group(self): self.__group = YANGDynClass( base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=True, ) def _get_neighbor(self): """ Getter method for neighbor, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/neighbor (inet:ip-address) YANG Description: The remote system on the interface with which the Adj-SID is associated. """ return self.__neighbor def _set_neighbor(self, v, load=False): """ Setter method for neighbor, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/neighbor (inet:ip-address) If this variable is read-only (config: false) in the source YANG file, then _set_neighbor is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_neighbor() directly. YANG Description: The remote system on the interface with which the Adj-SID is associated. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="neighbor", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """neighbor must be of a type compatible with inet:ip-address""", "defined-type": "inet:ip-address", "generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}),], is_leaf=True, yang_name="neighbor", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ip-address', is_config=True)""", } ) self.__neighbor = t if hasattr(self, "_set"): self._set() def _unset_neighbor(self): self.__neighbor = YANGDynClass( base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="neighbor", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=True, ) sid_id = __builtin__.property(_get_sid_id, _set_sid_id) protection_eligible = __builtin__.property( _get_protection_eligible, _set_protection_eligible ) group = __builtin__.property(_get_group, _set_group) neighbor = __builtin__.property(_get_neighbor, _set_neighbor) _pyangbind_elements = OrderedDict( [ ("sid_id", sid_id), ("protection_eligible", protection_eligible), ("group", group), ("neighbor", neighbor), ] ) class config(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance-l2 - based on the path /network-instances/network-instance/protocols/protocol/isis/interfaces/interface/levels/level/afi-safi/af/segment-routing/adjacency-sids/adjacency-sid/config. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Configuraton parameters relating to the AdjSID. """ __slots__ = ( "_path_helper", "_extmethods", "__sid_id", "__protection_eligible", "__group", "__neighbor", ) _yang_name = "config" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__sid_id = YANGDynClass( base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), RestrictedClassType( base_type=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), restriction_dict={"pattern": "[0-9a-fA-F:\\.]*"}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={"DYNAMIC": {}}, ), ], is_leaf=True, yang_name="sid-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="union", is_config=True, ) self.__protection_eligible = YANGDynClass( base=YANGBool, default=YANGBool("true"), is_leaf=True, yang_name="protection-eligible", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=True, ) self.__group = YANGDynClass( base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=True, ) self.__neighbor = YANGDynClass( base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="neighbor", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=True, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [ "network-instances", "network-instance", "protocols", "protocol", "isis", "interfaces", "interface", "levels", "level", "afi-safi", "af", "segment-routing", "adjacency-sids", "adjacency-sid", "config", ] def _get_sid_id(self): """ Getter method for sid_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/sid_id (union) YANG Description: The value of the Adj-SID to be advertised. Where a static SID identifier is specified, this should be advertised directly by the system. Where the DYNAMIC value is specified, this should be treated as a dynamically allocated value. When the MPLS data plane is in use the dynamic value should not fall within a reserved-label-block. """ return self.__sid_id def _set_sid_id(self, v, load=False): """ Setter method for sid_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/sid_id (union) If this variable is read-only (config: false) in the source YANG file, then _set_sid_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_sid_id() directly. YANG Description: The value of the Adj-SID to be advertised. Where a static SID identifier is specified, this should be advertised directly by the system. Where the DYNAMIC value is specified, this should be treated as a dynamically allocated value. When the MPLS data plane is in use the dynamic value should not fall within a reserved-label-block. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), RestrictedClassType( base_type=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), restriction_dict={"pattern": "[0-9a-fA-F:\\.]*"}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={"DYNAMIC": {}}, ), ], is_leaf=True, yang_name="sid-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="union", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """sid_id must be of a type compatible with union""", "defined-type": "openconfig-network-instance:union", "generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), restriction_dict={'range': ['16..1048575']}),RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'IPV4_EXPLICIT_NULL': {'value': 0}, 'ROUTER_ALERT': {'value': 1}, 'IPV6_EXPLICIT_NULL': {'value': 2}, 'IMPLICIT_NULL': {'value': 3}, 'ENTROPY_LABEL_INDICATOR': {'value': 7}, 'NO_LABEL': {}},),RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}),RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'DYNAMIC': {}},),], is_leaf=True, yang_name="sid-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='union', is_config=True)""", } ) self.__sid_id = t if hasattr(self, "_set"): self._set() def _unset_sid_id(self): self.__sid_id = YANGDynClass( base=[ RestrictedClassType( base_type=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..4294967295"]}, int_size=32, ), restriction_dict={"range": ["16..1048575"]}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "IPV4_EXPLICIT_NULL": {"value": 0}, "ROUTER_ALERT": {"value": 1}, "IPV6_EXPLICIT_NULL": {"value": 2}, "IMPLICIT_NULL": {"value": 3}, "ENTROPY_LABEL_INDICATOR": {"value": 7}, "NO_LABEL": {}, }, ), RestrictedClassType( base_type=RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), restriction_dict={"pattern": "[0-9a-fA-F:\\.]*"}, ), RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={"DYNAMIC": {}}, ), ], is_leaf=True, yang_name="sid-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="union", is_config=True, ) def _get_protection_eligible(self): """ Getter method for protection_eligible, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/protection_eligible (boolean) YANG Description: Whether the Adj-SID should be considered to be eligible for protection using IP or MPLS FRR during a network failure. When this value is set to true, the B-flag of the Adj-SID is set to 1, and the local system should provide FRR paths for the associated label forwarding entry. When it is set to false, the local system must not provide FRR for the specified LFIB entry. """ return self.__protection_eligible def _set_protection_eligible(self, v, load=False): """ Setter method for protection_eligible, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/protection_eligible (boolean) If this variable is read-only (config: false) in the source YANG file, then _set_protection_eligible is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_protection_eligible() directly. YANG Description: Whether the Adj-SID should be considered to be eligible for protection using IP or MPLS FRR during a network failure. When this value is set to true, the B-flag of the Adj-SID is set to 1, and the local system should provide FRR paths for the associated label forwarding entry. When it is set to false, the local system must not provide FRR for the specified LFIB entry. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=YANGBool, default=YANGBool("true"), is_leaf=True, yang_name="protection-eligible", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """protection_eligible must be of a type compatible with boolean""", "defined-type": "boolean", "generated-type": """YANGDynClass(base=YANGBool, default=YANGBool("true"), is_leaf=True, yang_name="protection-eligible", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=True)""", } ) self.__protection_eligible = t if hasattr(self, "_set"): self._set() def _unset_protection_eligible(self): self.__protection_eligible = YANGDynClass( base=YANGBool, default=YANGBool("true"), is_leaf=True, yang_name="protection-eligible", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=True, ) def _get_group(self): """ Getter method for group, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/group (boolean) YANG Description: When set to true, the Adj-SID is indicated to be part of a group, and the G flag is set to 1 in the corresponding advertisement in the IGP. """ return self.__group def _set_group(self, v, load=False): """ Setter method for group, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/group (boolean) If this variable is read-only (config: false) in the source YANG file, then _set_group is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_group() directly. YANG Description: When set to true, the Adj-SID is indicated to be part of a group, and the G flag is set to 1 in the corresponding advertisement in the IGP. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """group must be of a type compatible with boolean""", "defined-type": "boolean", "generated-type": """YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=True)""", } ) self.__group = t if hasattr(self, "_set"): self._set() def _unset_group(self): self.__group = YANGDynClass( base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="group", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=True, ) def _get_neighbor(self): """ Getter method for neighbor, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/neighbor (inet:ip-address) YANG Description: The remote system on the interface with which the Adj-SID is associated. """ return self.__neighbor def _set_neighbor(self, v, load=False): """ Setter method for neighbor, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/interfaces/interface/levels/level/afi_safi/af/segment_routing/adjacency_sids/adjacency_sid/config/neighbor (inet:ip-address) If this variable is read-only (config: false) in the source YANG file, then _set_neighbor is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_neighbor() directly. YANG Description: The remote system on the interface with which the Adj-SID is associated. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="neighbor", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=True, ) except (TypeError, ValueError): raise ValueError( { "error-string": """neighbor must be of a type compatible with inet:ip-address""", "defined-type": "inet:ip-address", "generated-type": """YANGDynClass(base=[RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}),RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}),], is_leaf=True, yang_name="neighbor", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ip-address', is_config=True)""", } ) self.__neighbor = t if hasattr(self, "_set"): self._set() def _unset_neighbor(self): self.__neighbor = YANGDynClass( base=[ RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?" }, ), RestrictedClassType( base_type=six.text_type, restriction_dict={ "pattern": "((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?" }, ), ], is_leaf=True, yang_name="neighbor", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="inet:ip-address", is_config=True, ) sid_id = __builtin__.property(_get_sid_id, _set_sid_id) protection_eligible = __builtin__.property( _get_protection_eligible, _set_protection_eligible ) group = __builtin__.property(_get_group, _set_group) neighbor = __builtin__.property(_get_neighbor, _set_neighbor) _pyangbind_elements = OrderedDict( [ ("sid_id", sid_id), ("protection_eligible", protection_eligible), ("group", group), ("neighbor", neighbor), ] )

47.020851

1,397

0.539938

6,200

54,121

4.533548

0.044516

0.012523

0.010246

0.015369

0.986659

0.978938

0

0.037704

0.320781

54,121

1,150

1,398

47.061739

0.726931

0.201456

0

0.88913

0

0.028261

0.322037

0.180122

0

1

0.030435

false

0

0.016304

0

0.079348

0

null

0

1

0

1

0

1

0

null

0

8

9af5a874906ab1d9657091bb70064fdc1c865f30

339

py

Python

main/CompuCellPythonTutorial/steppableBasedMitosisPeriodicBC/Simulation/steppableBasedMitosis.py

JulianoGianlupi/nh-cc3d-4x-base-tool

c0f4aceebd4c5bf3ec39e831ef851e419b161259

[ "CC0-1.0" ]

null

main/CompuCellPythonTutorial/steppableBasedMitosisPeriodicBC/Simulation/steppableBasedMitosis.py

JulianoGianlupi/nh-cc3d-4x-base-tool

c0f4aceebd4c5bf3ec39e831ef851e419b161259

[ "CC0-1.0" ]

null

main/CompuCellPythonTutorial/steppableBasedMitosisPeriodicBC/Simulation/steppableBasedMitosis.py

JulianoGianlupi/nh-cc3d-4x-base-tool

c0f4aceebd4c5bf3ec39e831ef851e419b161259

[ "CC0-1.0" ]

1

2021-02-26T21:50:29.000Z

from cc3d import CompuCellSetup from .steppableBasedMitosisSteppables import VolumeParamSteppable from .steppableBasedMitosisSteppables import MitosisSteppable CompuCellSetup.register_steppable(steppable=VolumeParamSteppable(frequency=10)) CompuCellSetup.register_steppable(steppable=MitosisSteppable(frequency=10)) CompuCellSetup.run()

37.666667

79

0.893805

28

339

10.75

0.428571

0.232558

0.272425

0.265781

0

0.015528

0.050147

339

8

80

42.375

0.919255

0

1

0

true

0

0.5

0

0.5

0

1

0

1

null

1

0

1

0

null

0

1

0

1

0

8

b14f6227092021ac0e03fc627a68b3514652e85c

90

py

Python

tests/PaxHeaders.2308045/test-ovsdb.py

cuijianming/ovs-2.13.6

e7fdf06d6c26d280b25bdf235146ae007cd2208c

[ "Apache-2.0" ]

null

tests/PaxHeaders.2308045/test-ovsdb.py

cuijianming/ovs-2.13.6

e7fdf06d6c26d280b25bdf235146ae007cd2208c

[ "Apache-2.0" ]

null

tests/PaxHeaders.2308045/test-ovsdb.py

cuijianming/ovs-2.13.6

e7fdf06d6c26d280b25bdf235146ae007cd2208c

[ "Apache-2.0" ]

null

30 mtime=1639777086.636355983 30 atime=1639777086.636355983 30 ctime=1639777126.675355983

22.5

29

0.866667

12

90

6.5

0.666667

0.487179

0.538462

0

0.75

0.066667

90

3

30

0.178571

0

null

0

null

0

1

0

null

1

0

1

0

1

0

1

0

null

0

1

0

7

b1560af9d764841f8719224d4c6205b6bb60058b

11,897

py

Python

test_autolens/unit/simulator/test_simulator.py

harshitjindal/PyAutoLens

f1d3f08f12a61f6634e1b7a0ccf8f5cfe0252035

[ "MIT" ]

1

2020-04-06T20:07:56.000Z

test_autolens/unit/simulator/test_simulator.py

harshitjindal/PyAutoLens

f1d3f08f12a61f6634e1b7a0ccf8f5cfe0252035

[ "MIT" ]

null

test_autolens/unit/simulator/test_simulator.py

harshitjindal/PyAutoLens

f1d3f08f12a61f6634e1b7a0ccf8f5cfe0252035

[ "MIT" ]

null

import autolens as al import numpy as np import os import pytest test_data_dir = "{}/../test_files/arrays/".format( os.path.dirname(os.path.realpath(__file__)) ) class TestSimulatorImaging: def test__from_tracer__same_as_manual_tracer_input(self): psf = al.kernel.manual_2d( array=np.array([[0.0, 1.0, 0.0], [1.0, 2.0, 1.0], [0.0, 1.0, 0.0]]), pixel_scales=1.0, ) grid = al.grid.uniform(shape_2d=(20, 20), pixel_scales=0.05, sub_size=1) lens_galaxy = al.Galaxy( redshift=0.5, light=al.lp.EllipticalSersic(intensity=1.0), mass=al.mp.EllipticalIsothermal(einstein_radius=1.6), ) source_galaxy = al.Galaxy( redshift=1.0, light=al.lp.EllipticalSersic(intensity=0.3) ) tracer = al.Tracer.from_galaxies(galaxies=[lens_galaxy, source_galaxy]) simulator = al.simulator.imaging( shape_2d=(20, 20), pixel_scales=0.05, sub_size=1, psf=psf, exposure_time=10000.0, background_level=100.0, add_noise=True, noise_seed=1, ) imaging_simulated = simulator.from_tracer(tracer=tracer) imaging_manual = al.imaging.simulate( image=tracer.padded_profile_image_from_grid_and_psf_shape( grid=grid, psf_shape_2d=(3, 3) ), exposure_time=10000.0, psf=psf, background_level=100.0, add_noise=True, noise_seed=1, ) assert (imaging_simulated.image.in_2d == imaging_manual.image.in_2d).all() assert (imaging_simulated.psf == imaging_manual.psf).all() assert (imaging_simulated.noise_map == imaging_manual.noise_map).all() assert ( imaging_simulated.background_sky_map == imaging_manual.background_sky_map ).all() assert ( imaging_simulated.exposure_time_map == imaging_manual.exposure_time_map ).all() def test__from_deflections_and_galaxies__same_as_manual_calculation_using_tracer( self ): psf = al.kernel.manual_2d( array=np.array([[0.0, 1.0, 0.0], [1.0, 2.0, 1.0], [0.0, 1.0, 0.0]]), pixel_scales=0.05, ) grid = al.grid.uniform(shape_2d=(20, 20), pixel_scales=0.05, sub_size=1) lens_galaxy = al.Galaxy( redshift=0.5, mass=al.mp.EllipticalIsothermal(einstein_radius=1.6) ) source_galaxy = al.Galaxy( redshift=1.0, light=al.lp.EllipticalSersic(intensity=0.3) ) tracer = al.Tracer.from_galaxies(galaxies=[lens_galaxy, source_galaxy]) simulator = al.simulator.imaging( shape_2d=(20, 20), pixel_scales=0.05, sub_size=1, psf=psf, exposure_time=10000.0, background_level=100.0, add_noise=True, noise_seed=1, ) imaging_simulated = simulator.from_deflections_and_galaxies( deflections=tracer.deflections_from_grid(grid=grid), galaxies=[source_galaxy], ) imaging_manual = al.imaging.simulate( image=tracer.padded_profile_image_from_grid_and_psf_shape( grid=grid, psf_shape_2d=(1, 1) ), exposure_time=10000.0, psf=psf, background_level=100.0, add_noise=True, noise_seed=1, ) assert (imaging_simulated.image.in_2d == imaging_manual.image.in_2d).all() assert (imaging_simulated.psf == imaging_manual.psf).all() assert (imaging_simulated.noise_map == imaging_manual.noise_map).all() assert ( imaging_simulated.background_sky_map == imaging_manual.background_sky_map ).all() assert ( imaging_simulated.exposure_time_map == imaging_manual.exposure_time_map ).all() def test__simulate_imaging_from_lens__source_galaxy__compare_to_manual_imaging( self ): lens_galaxy = al.Galaxy( redshift=0.5, mass=al.mp.EllipticalIsothermal( centre=(0.0, 0.0), einstein_radius=1.6, axis_ratio=0.7, phi=45.0 ), ) source_galaxy = al.Galaxy( redshift=0.5, light=al.lp.EllipticalSersic( centre=(0.1, 0.1), axis_ratio=0.8, phi=60.0, intensity=0.3, effective_radius=1.0, sersic_index=2.5, ), ) grid = al.grid.uniform(shape_2d=(11, 11), pixel_scales=0.2, sub_size=1) psf = al.kernel.from_gaussian(shape_2d=(7, 7), sigma=0.1, pixel_scales=0.2) simulator = al.simulator.imaging( shape_2d=(11, 11), pixel_scales=0.2, sub_size=1, psf=psf, exposure_time=100.0, background_level=1.0, add_noise=False, noise_if_add_noise_false=0.2, ) imaging_simulated = simulator.from_galaxies( galaxies=[lens_galaxy, source_galaxy] ) tracer = al.Tracer.from_galaxies(galaxies=[lens_galaxy, source_galaxy]) imaging_manual = al.imaging.simulate( image=tracer.padded_profile_image_from_grid_and_psf_shape( grid=grid, psf_shape_2d=(7, 7) ), exposure_time=100.0, psf=psf, background_level=1.0, add_noise=False, noise_if_add_noise_false=0.2, ) assert (imaging_manual.image == imaging_simulated.image).all() assert (imaging_manual.psf == imaging_simulated.psf).all() assert (imaging_simulated.noise_map.in_2d == 0.2 * np.ones((11, 11))).all() assert imaging_manual.noise_map == imaging_simulated.noise_map assert ( imaging_manual.background_noise_map == imaging_simulated.background_noise_map ) assert imaging_manual.poisson_noise_map == imaging_simulated.poisson_noise_map assert ( imaging_manual.exposure_time_map == imaging_simulated.exposure_time_map ).all() assert ( imaging_manual.background_sky_map == imaging_simulated.background_sky_map ).all() class TestSimulatorInterferometer: def test__from_tracer__same_as_manual_tracer_input(self): grid = al.grid.uniform(shape_2d=(20, 20), pixel_scales=0.05, sub_size=1) lens_galaxy = al.Galaxy( redshift=0.5, light=al.lp.EllipticalSersic(intensity=1.0), mass=al.mp.EllipticalIsothermal(einstein_radius=1.6), ) source_galaxy = al.Galaxy( redshift=1.0, light=al.lp.EllipticalSersic(intensity=0.3) ) tracer = al.Tracer.from_galaxies(galaxies=[lens_galaxy, source_galaxy]) simulator = al.simulator.interferometer( real_space_shape_2d=(20, 20), real_space_pixel_scales=0.05, uv_wavelengths=np.ones(shape=(7, 2)), sub_size=1, exposure_time=10000.0, background_level=100.0, noise_sigma=0.1, noise_seed=1, ) interferometer_simulated = simulator.from_tracer(tracer=tracer) interferometer_manual = al.interferometer.simulate( real_space_image=tracer.profile_image_from_grid(grid=grid), transformer=simulator.transformer, real_space_pixel_scales=0.05, exposure_time=10000.0, background_level=100.0, noise_sigma=0.1, noise_seed=1, ) assert ( interferometer_simulated.visibilities == interferometer_manual.visibilities ).all() assert ( interferometer_simulated.uv_wavelengths == interferometer_manual.uv_wavelengths ).all() assert ( interferometer_simulated.noise_map == interferometer_manual.noise_map ).all() def test__from_deflections_and_galaxies__same_as_manual_calculation_using_tracer( self ): grid = al.grid.uniform(shape_2d=(20, 20), pixel_scales=0.05, sub_size=1) lens_galaxy = al.Galaxy( redshift=0.5, mass=al.mp.EllipticalIsothermal(einstein_radius=1.6) ) source_galaxy = al.Galaxy( redshift=1.0, light=al.lp.EllipticalSersic(intensity=0.3) ) tracer = al.Tracer.from_galaxies(galaxies=[lens_galaxy, source_galaxy]) simulator = al.simulator.interferometer( real_space_shape_2d=(20, 20), real_space_pixel_scales=0.05, uv_wavelengths=np.ones(shape=(7, 2)), sub_size=1, exposure_time=10000.0, background_level=100.0, noise_sigma=0.1, noise_seed=1, ) interferometer_simulated = simulator.from_deflections_and_galaxies( deflections=tracer.deflections_from_grid(grid=grid), galaxies=[source_galaxy], ) interferometer_manual = al.interferometer.simulate( real_space_image=tracer.profile_image_from_grid(grid=grid), real_space_pixel_scales=0.05, transformer=simulator.transformer, exposure_time=10000.0, background_level=100.0, noise_sigma=0.1, noise_seed=1, ) assert ( interferometer_simulated.visibilities == interferometer_manual.visibilities ).all() assert ( interferometer_simulated.uv_wavelengths == interferometer_manual.uv_wavelengths ).all() assert ( interferometer_simulated.noise_map == interferometer_manual.noise_map ).all() def test__simulate_interferometer_from_lens__source_galaxy__compare_to_manual_interferometer( self ): lens_galaxy = al.Galaxy( redshift=0.5, mass=al.mp.EllipticalIsothermal( centre=(0.0, 0.0), einstein_radius=1.6, axis_ratio=0.7, phi=45.0 ), ) source_galaxy = al.Galaxy( redshift=0.5, light=al.lp.EllipticalSersic( centre=(0.1, 0.1), axis_ratio=0.8, phi=60.0, intensity=0.3, effective_radius=1.0, sersic_index=2.5, ), ) grid = al.grid.uniform(shape_2d=(11, 11), pixel_scales=0.05, sub_size=1) simulator = al.simulator.interferometer( real_space_shape_2d=(11, 11), real_space_pixel_scales=0.05, uv_wavelengths=np.ones(shape=(7, 2)), sub_size=1, exposure_time=10000.0, background_level=100.0, noise_sigma=0.1, noise_seed=1, ) interferometer_simulated = simulator.from_galaxies( galaxies=[lens_galaxy, source_galaxy] ) tracer = al.Tracer.from_galaxies(galaxies=[lens_galaxy, source_galaxy]) interferometer_manual = al.interferometer.simulate( real_space_image=tracer.profile_image_from_grid(grid=grid), real_space_pixel_scales=0.05, transformer=simulator.transformer, exposure_time=10000.0, background_level=100.0, noise_sigma=0.1, noise_seed=1, ) assert interferometer_manual.visibilities == pytest.approx( interferometer_simulated.visibilities, 1.0e-4 ) assert ( interferometer_manual.uv_wavelengths == interferometer_simulated.uv_wavelengths ).all() assert ( interferometer_manual.noise_map == interferometer_simulated.noise_map ).all()

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null

0

1

0

1

0

null

0

7

b1597f08b61cfa12827a5347227351ceef176d37

9,804

py

Python

source/RandomProblem.py

fedetoff/SMMR

7ad642bdd1b68c49df5d64de00e1e6df27c67291

[ "MIT" ]

null

source/RandomProblem.py

fedetoff/SMMR

7ad642bdd1b68c49df5d64de00e1e6df27c67291

[ "MIT" ]

null

source/RandomProblem.py

fedetoff/SMMR

7ad642bdd1b68c49df5d64de00e1e6df27c67291

[ "MIT" ]

null

import random from source import Utils, SolutionsUtils, Polytope from random import randint def get_random_constrants_T(d, T): """ Random generation of T user preferences with d criteria. :param n: integer: number of criteria. :param T: integer: number of user preferences. """ formatted_constraints = list([]) random_w = [] sum = 0 for j in range(d): rnd = random.uniform(0, 1) random_w.append(rnd) sum += rnd random_w = [x / sum for x in random_w] for i in range(T): # randomly select e_i e_i = randint(0, d - 1) e_j = e_i e_k = e_i # randomly select e_j while e_j == e_i: e_j = randint(0, d - 1) # randomly select e_k while e_k == e_i or e_k == e_j: e_k = randint(0, d - 1) coefficients = [0]*d a = random.uniform(0, 1) b = -random.uniform(0, 1) c = -random.uniform(0, 1) coefficients[e_i] = a coefficients[e_j] = b coefficients[e_k] = c if Utils.dot(random_w, coefficients) >= 0: sign = '>=' else: sign = '<=' formatted_constraints.append('%f w%i + %f w%i + %f w%i %s 0' % (a, e_i, b, e_j, c, e_k, sign)) return formatted_constraints def random_problem(vars, n, J, T, mu=10, theta=50, delta=60, int_values=False): """ Random generation of J sets of n alternatives with T random user preferences. :param vars: list of string: variables name of each criteria. :param n: integer: number of elements for each set of alternative. :param J: integer: number of sets of alternatives. :param T: integer: number of user preferences. :param mu: integer: statistical parameter for random generator:. :param theta: integer: statistical parameter for random generator. :param delta: integer: statistical parameter for random generator. :param int_values: boolean: if true the alternatives are vectors of integer, otherwise vectors of floats. """ d=len(vars) formatted_constraints = get_random_constrants_T(d, T) W = Polytope.Polytope(vars, frac=True) A = [] for j in range(J): mu_j = random.random() * 2 * mu - mu theta_j = random.random() * 2 * theta delta_j = random.random() * 2 * delta mu_ji = [0] * d delta_ji = [0] * d for i in range(d): mu_ji[i] = mu_j + random.random() * 2 * theta_j - theta_j delta_ji[i] = random.random() * 2 * delta_j Aj = [] for k in range(n): v = [0] * d for i in range(d): if int_values: v[i] = int(mu_ji[i] + random.random() * 2 * delta_ji[i] - delta_ji[i]) else: v[i] = mu_ji[i] + random.random() * 2 * delta_ji[i] - delta_ji[i] Aj.append(v) A.append(Aj) return A, formatted_constraints, W def random_problem_UD(vars, n, J, T, mu=10, theta=50, delta=60, int_values=False): """ Random generation of J sets of n undominated alternatives with T random user preferences. :param vars: list of string: variables name of each criteria. :param n: integer: number of elements for each set of alternative. :param J: integer: number of sets of alternatives. :param T: integer: number of user preferences. :param mu: integer: statistical parameter for random generator:. :param theta: integer: statistical parameter for random generator. :param delta: integer: statistical parameter for random generator. :param int_values: boolean: if true the alternatives are vectors of integer, otherwise vectors of floats. """ d=len(vars) formatted_constraints = get_random_constrants_T(d, T) W = Polytope.Polytope(vars, frac=True) A = [] for j in range(J): mu_j = random.random() * 2 * mu - mu theta_j = random.random() * 2 * theta delta_j = random.random() * 2 * delta mu_ji = [0] * d delta_ji = [0] * d for i in range(d): mu_ji[i] = mu_j + random.random() * 2 * theta_j - theta_j delta_ji[i] = random.random() * 2 * delta_j Aj = [] for k in range(n*10000): v = [0] * d for i in range(d): if int_values: v[i] = int(mu_ji[i] + random.random() * 2 * delta_ji[i] - delta_ji[i]) else: v[i] = mu_ji[i] + random.random() * 2 * delta_ji[i] - delta_ji[i] #Aj.append(v) #ud = SolutionsUtils.UD(Aj, W) correct = True for s in Aj: if SolutionsUtils.pairwise_dominance(s, v, W, False) or SolutionsUtils.pairwise_dominance(v, s, W, False): correct = False break if correct: Aj.append(v) # print(k) # print(len(Aj)) if len(Aj)==n: break if T!= 0: formatted_constraints = get_random_constrants_T(d, T) W.add_formatted_constraints(formatted_constraints) A.append(SolutionsUtils.UD(Aj, W)) else: A.append(Aj) return A, formatted_constraints, W def random_problem_PO(vars, n, J, T, mu=10, theta=50, delta=60, int_values=False): """ Random generation of J sets of n possibly optimal alternatives with T random user preferences. :param vars: list of string: variables name of each criteria. :param n: integer: number of elements for each set of alternative. :param J: integer: number of sets of alternatives. :param T: integer: number of user preferences. :param mu: integer: statistical parameter for random generator:. :param theta: integer: statistical parameter for random generator. :param delta: integer: statistical parameter for random generator. :param int_values: boolean: if true the alternatives are vectors of integer, otherwise vectors of floats. """ d=len(vars) formatted_constraints = get_random_constrants_T(d, T) W = Polytope.Polytope(vars, frac=True) A = [] for j in range(J): mu_j = random.random() * 2 * mu - mu theta_j = random.random() * 2 * theta delta_j = random.random() * 2 * delta mu_ji = [0] * d delta_ji = [0] * d for i in range(d): mu_ji[i] = mu_j + random.random() * 2 * theta_j - theta_j delta_ji[i] = random.random() * 2 * delta_j Aj = [] for k in range(n*1000): v = [0] * d for i in range(d): if int_values: v[i] = int(mu_ji[i] + random.random() * 2 * delta_ji[i] - delta_ji[i]) else: v[i] = mu_ji[i] + random.random() * 2 * delta_ji[i] - delta_ji[i] correct = True if SolutionsUtils.PO_test(v, Aj, W): Aj.append(v) if(SolutionsUtils.PO(Aj, W) != Aj): Aj.remove(v) else: print(k) print(len(Aj)) if len(Aj)==n: break if T!= 0: formatted_constraints = get_random_constrants_T(d, T) W.add_formatted_constraints(formatted_constraints) A.append(SolutionsUtils.PO(Aj, W)) else: A.append(Aj) return A, formatted_constraints, W def random_problem_PSO(vars, n, J, T, mu=10, theta=50, delta=60, int_values=False): """ Random generation of J sets of n strictly optimal alternatives with T random user preferences. :param vars: list of string: variables name of each criteria. :param n: integer: number of elements for each set of alternative. :param J: integer: number of sets of alternatives. :param T: integer: number of user preferences. :param mu: integer: statistical parameter for random generator:. :param theta: integer: statistical parameter for random generator. :param delta: integer: statistical parameter for random generator. :param int_values: boolean: if true the alternatives are vectors of integer, otherwise vectors of floats. """ d=len(vars) formatted_constraints = get_random_constrants_T(d, T) W = Polytope.Polytope(vars, frac=True) A = [] for j in range(J): mu_j = random.random() * 2 * mu - mu theta_j = random.random() * 2 * theta delta_j = random.random() * 2 * delta mu_ji = [0] * d delta_ji = [0] * d for i in range(d): mu_ji[i] = mu_j + random.random() * 2 * theta_j - theta_j delta_ji[i] = random.random() * 2 * delta_j Aj = [] for k in range(n*1000): v = [0] * d for i in range(d): if int_values: v[i] = int(mu_ji[i] + random.random() * 2 * delta_ji[i] - delta_ji[i]) else: v[i] = mu_ji[i] + random.random() * 2 * delta_ji[i] - delta_ji[i] correct = True if SolutionsUtils.PSO_test(v, Aj, W): add = True for s in Aj: if not SolutionsUtils.PSO_test(s, Aj + [v], W): add=False break if(add): Aj.append(v) print(k) print(len(Aj)) if len(Aj)==n: break if T!= 0: formatted_constraints = get_random_constrants_T(d, T) W.add_formatted_constraints(formatted_constraints) A.append(SolutionsUtils.PO(Aj, W)) else: A.append(Aj) return A, formatted_constraints, W

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null

0

1

0

1

0

null

0

7

b193eba787252cca8aa9ceebb0446faa8db3eeb7

3,460

py

Python

tests/test_get_data.py

duncanmazza/ml_stock_prediction_api

4cf6325ff1252511049b87bc46fa4d5b48acf4f3

[ "MIT" ]

1

2020-04-05T20:19:10.000Z

tests/test_get_data.py

duncanmazza/ml_stock_prediction_api

4cf6325ff1252511049b87bc46fa4d5b48acf4f3

[ "MIT" ]

null

tests/test_get_data.py

duncanmazza/ml_stock_prediction_api

4cf6325ff1252511049b87bc46fa4d5b48acf4f3

[ "MIT" ]

null

""" Tests the :py:mod:`src.get_data` module @author: Duncan Mazza """ from src.get_data import Company from tests.BColors import BColors import pytest import os from warnings import warn from datetime import datetime import numpy as np @pytest.fixture() def company(): r""" TODO: documentation """ return Company("IBM", start_date=datetime(2017, 2, 9), end_date=datetime(2017, 2, 13)) def test_save_to_csv_saves_file_no_csv_suffix(company: Company, test_file_path="obscure_file_name", remove_test_file: bool = True): r""" Tests whether :py:class:`src.get_data.pandas_stock_data.Company.save_to_csv` saves a file whose file name is not supplied with a ``.csv`` suffix :param company: :param test_file_path: :param remove_test_file: :return: """ company.cache(test_file_path, company.data_frame) expected_output_file = os.path.join(os.getcwd(), test_file_path + ".csv") try: assert os.path.exists(expected_output_file) except AssertionError: warn(BColors.WARNING + "Failed to save file to expected output file - there be a file saved that was not " "automatically removed by testing" + BColors.WHITE) raise AssertionError if remove_test_file: os.remove(expected_output_file) def test_save_to_csv_saves_file_with_csv_suffix(company: Company, test_file_path: str = "obscure_file_name.csv", remove_test_file: bool = True): r""" Tests whether :py:class:`src.get_data.pandas_stock_data.Company.save_to_csv` saves a file whose file name is supplied with a ``.csv`` suffix :param company: :param test_file_path: :param remove_test_file: :return: """ company.cache(test_file_path, company.data_frame) expected_output_file = os.path.join(os.getcwd(), test_file_path) try: assert os.path.exists(expected_output_file) except AssertionError: warn(BColors.WARNING + "Failed to save file to expected output file - there be a file saved that was not " "automatically removed by testing" + BColors.WHITE) raise AssertionError if remove_test_file: os.remove(expected_output_file) def test_return_numpy_array_of_company_daily_stock_close(company: Company): r""" TODO: documentation :param company: :return: """ stock_data = company.return_numpy_array_of_company_daily_stock_close() assert type(stock_data) == np.ndarray assert len(stock_data) == 3 compare_array = np.array([177.21000671, 178.67999268, 179.36000061]) # typecast to 32bit integers to avoid discrepancy with comparing floating point numbers assert np.array_equal(stock_data.astype(np.int32), compare_array.astype(np.int32)) def return_numpy_array_of_company_daily_stock_percent_change(company: Company): r""" TODO: documentation :param company: :return: """ stock_data = company.return_numpy_array_of_company_daily_stock_percent_change() assert type(stock_data) == np.ndarray assert len(stock_data) == 2 compare_array = np.array([0.00829516, 0.00380573]) # typecast to 32bit integers to avoid discrepancy with comparing floating point numbers assert np.array_equal(stock_data.astype(np.int32), compare_array.astype(np.int32)) if __name__ == "__main__": pytest.main()

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472

3,460

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0.042068

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0

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3,460

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0

null

0

1

0

null

0

1

0

7

b1a430df18bff0a8c6a80a70fae541688afdf7c0

95

py

Python

foo/lc/leetcode/editor/en/aa.py

JaeCoding/keepPying

5bf07b34a6c63e9a6bd2b39c17149adb2dc59570

[ "MIT" ]

1

2020-02-24T15:15:55.000Z

foo/lc/leetcode/editor/en/aa.py

JaeCoding/keepPying

5bf07b34a6c63e9a6bd2b39c17149adb2dc59570

[ "MIT" ]

null

foo/lc/leetcode/editor/en/aa.py

JaeCoding/keepPying

5bf07b34a6c63e9a6bd2b39c17149adb2dc59570

[ "MIT" ]

null

# a = ''.join('a','b') # b = ''.join([1,2,3]) c = ''.join(['a','b']) c = ''.join(['1','2','3'])

23.75

26

0.315789

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1.666667

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0.333333

0.4

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0

0.073171

0.136842

95

4

26

23.75

0.292683

0.431579

0

0.096154

0

1

0

false

0

1

0

1

null

1

0

1

0

1

0

null

0

7

498502d6dd54251b2dbcb405a126a81cf8fbc832

73

py

Python

pySUMMA/decomposition/__init__.py

ahsen1402/pySUMMA

3412e1282bc2cc9b9076f38bf64ef1674d69d770

[ "Apache-2.0" ]

1

2020-01-11T19:56:05.000Z

pySUMMA/decomposition/__init__.py

learn-ensemble/PY-SUMMA

1b82237be5dc33af57b5c2e2c16aee4d568ddb77

[ "Apache-2.0" ]

null

pySUMMA/decomposition/__init__.py

learn-ensemble/PY-SUMMA

1b82237be5dc33af57b5c2e2c16aee4d568ddb77

[ "Apache-2.0" ]

null

from .rank_one_tensor import Tensor from .rank_one_matrix import Matrix

18.25

35

0.849315

12

73

4.833333

0.5

0.275862

0.37931

0

0.123288

73

3

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0

1

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true

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1

0

1

0

7

b8f7a36a1da847c928a9931029314610def383cb

638

py

Python

build/catkin_generated/order_packages.py

ahamden2222/QTRobotTester

90e91d96e0d35a82c904934898d9456812d9728e

[ "MIT" ]

null

build/catkin_generated/order_packages.py

ahamden2222/QTRobotTester

90e91d96e0d35a82c904934898d9456812d9728e

[ "MIT" ]

null

build/catkin_generated/order_packages.py

ahamden2222/QTRobotTester

90e91d96e0d35a82c904934898d9456812d9728e

[ "MIT" ]

null

# generated from catkin/cmake/template/order_packages.context.py.in source_root_dir = "/home/robotpt/QTRobotTester/src" whitelisted_packages = "".split(';') if "" != "" else [] blacklisted_packages = "".split(';') if "" != "" else [] underlay_workspaces = "/home/robotpt/QTRobotTester/devel;/home/robotpt/HumanProjectorInteration/devel;/home/robotpt/Desktop/catkin_nui/devel;/home/robotpt/Developer/catkin_ws/devel;/opt/ros/kinetic".split(';') if "/home/robotpt/QTRobotTester/devel;/home/robotpt/HumanProjectorInteration/devel;/home/robotpt/Desktop/catkin_nui/devel;/home/robotpt/Developer/catkin_ws/devel;/opt/ros/kinetic" != "" else []

106.333333

403

0.766458

78

638

6.141026

0.423077

0.206681

0.200418

0.079332

0.613779

0

0.053292

638

5

404

127.6

0.793046

0.101881

0

1

0.5

0.669002

0.663748

0

1

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false

0

null

1

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1

0

1

0

1

0

1

null

0

9

62100c393bd3c4820183782b5336d26ac2a53512

52,044

py

Python

sdk/python/pulumi_okta/user_schema_property.py

pulumi/pulumi-okta

83f7617a85b3d05213901773fa4e6a151ab6076b

[ "ECL-2.0", "Apache-2.0" ]

5

2019-10-29T21:59:22.000Z

2021-11-08T12:00:24.000Z

sdk/python/pulumi_okta/user_schema_property.py

pulumi/pulumi-okta

83f7617a85b3d05213901773fa4e6a151ab6076b

[ "ECL-2.0", "Apache-2.0" ]

109

2020-01-06T10:28:09.000Z

2022-03-25T19:52:40.000Z

sdk/python/pulumi_okta/user_schema_property.py

pulumi/pulumi-okta

83f7617a85b3d05213901773fa4e6a151ab6076b

[ "ECL-2.0", "Apache-2.0" ]

2

2020-09-11T16:31:04.000Z

2020-11-24T12:23:17.000Z

# 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__ = ['UserSchemaPropertyArgs', 'UserSchemaProperty'] @pulumi.input_type class UserSchemaPropertyArgs: def __init__(__self__, *, index: pulumi.Input[str], title: pulumi.Input[str], type: pulumi.Input[str], array_enums: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, array_one_ofs: Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyArrayOneOfArgs']]]] = None, array_type: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, enums: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, external_name: Optional[pulumi.Input[str]] = None, external_namespace: Optional[pulumi.Input[str]] = None, master: Optional[pulumi.Input[str]] = None, master_override_priorities: Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyMasterOverridePriorityArgs']]]] = None, max_length: Optional[pulumi.Input[int]] = None, min_length: Optional[pulumi.Input[int]] = None, one_ofs: Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyOneOfArgs']]]] = None, pattern: Optional[pulumi.Input[str]] = None, permissions: Optional[pulumi.Input[str]] = None, required: Optional[pulumi.Input[bool]] = None, scope: Optional[pulumi.Input[str]] = None, unique: Optional[pulumi.Input[str]] = None, user_type: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a UserSchemaProperty resource. :param pulumi.Input[str] index: The property name. :param pulumi.Input[str] title: display name for the enum value. :param pulumi.Input[str] type: - Type of profile source. :param pulumi.Input[Sequence[pulumi.Input[str]]] array_enums: Array of values that an array property's items can be set to. :param pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyArrayOneOfArgs']]] array_one_ofs: Display name and value an enum array can be set to. :param pulumi.Input[str] array_type: The type of the array elements if `type` is set to `"array"`. :param pulumi.Input[str] description: The description of the user schema property. :param pulumi.Input[Sequence[pulumi.Input[str]]] enums: Array of values a primitive property can be set to. See `array_enum` for arrays. :param pulumi.Input[str] external_name: External name of the user schema property. :param pulumi.Input[str] external_namespace: External name of the user schema property. :param pulumi.Input[str] master: Master priority for the user schema property. It can be set to `"PROFILE_MASTER"`, `"OVERRIDE"` or `"OKTA"`. :param pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyMasterOverridePriorityArgs']]] master_override_priorities: Prioritized list of profile sources (required when `master` is `"OVERRIDE"`). :param pulumi.Input[int] max_length: The maximum length of the user property value. Only applies to type `"string"`. :param pulumi.Input[int] min_length: The minimum length of the user property value. Only applies to type `"string"`. :param pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyOneOfArgs']]] one_ofs: Array of maps containing a mapping for display name to enum value. :param pulumi.Input[str] pattern: The validation pattern to use for the subschema. Must be in form of '.+', or '[<pattern>]+' if present.' :param pulumi.Input[str] permissions: Access control permissions for the property. It can be set to `"READ_WRITE"`, `"READ_ONLY"`, `"HIDE"`. :param pulumi.Input[bool] required: Whether the property is required for this application's users. :param pulumi.Input[str] scope: determines whether an app user attribute can be set at the Individual or Group Level. :param pulumi.Input[str] unique: Whether the property should be unique. It can be set to `"UNIQUE_VALIDATED"` or `"NOT_UNIQUE"`. :param pulumi.Input[str] user_type: User type ID """ pulumi.set(__self__, "index", index) pulumi.set(__self__, "title", title) pulumi.set(__self__, "type", type) if array_enums is not None: pulumi.set(__self__, "array_enums", array_enums) if array_one_ofs is not None: pulumi.set(__self__, "array_one_ofs", array_one_ofs) if array_type is not None: pulumi.set(__self__, "array_type", array_type) if description is not None: pulumi.set(__self__, "description", description) if enums is not None: pulumi.set(__self__, "enums", enums) if external_name is not None: pulumi.set(__self__, "external_name", external_name) if external_namespace is not None: pulumi.set(__self__, "external_namespace", external_namespace) if master is not None: pulumi.set(__self__, "master", master) if master_override_priorities is not None: pulumi.set(__self__, "master_override_priorities", master_override_priorities) if max_length is not None: pulumi.set(__self__, "max_length", max_length) if min_length is not None: pulumi.set(__self__, "min_length", min_length) if one_ofs is not None: pulumi.set(__self__, "one_ofs", one_ofs) if pattern is not None: pulumi.set(__self__, "pattern", pattern) if permissions is not None: pulumi.set(__self__, "permissions", permissions) if required is not None: pulumi.set(__self__, "required", required) if scope is not None: pulumi.set(__self__, "scope", scope) if unique is not None: pulumi.set(__self__, "unique", unique) if user_type is not None: pulumi.set(__self__, "user_type", user_type) @property @pulumi.getter def index(self) -> pulumi.Input[str]: """ The property name. """ return pulumi.get(self, "index") @index.setter def index(self, value: pulumi.Input[str]): pulumi.set(self, "index", value) @property @pulumi.getter def title(self) -> pulumi.Input[str]: """ display name for the enum value. """ return pulumi.get(self, "title") @title.setter def title(self, value: pulumi.Input[str]): pulumi.set(self, "title", value) @property @pulumi.getter def type(self) -> pulumi.Input[str]: """ - Type of profile source. """ return pulumi.get(self, "type") @type.setter def type(self, value: pulumi.Input[str]): pulumi.set(self, "type", value) @property @pulumi.getter(name="arrayEnums") def array_enums(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Array of values that an array property's items can be set to. """ return pulumi.get(self, "array_enums") @array_enums.setter def array_enums(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "array_enums", value) @property @pulumi.getter(name="arrayOneOfs") def array_one_ofs(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyArrayOneOfArgs']]]]: """ Display name and value an enum array can be set to. """ return pulumi.get(self, "array_one_ofs") @array_one_ofs.setter def array_one_ofs(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyArrayOneOfArgs']]]]): pulumi.set(self, "array_one_ofs", value) @property @pulumi.getter(name="arrayType") def array_type(self) -> Optional[pulumi.Input[str]]: """ The type of the array elements if `type` is set to `"array"`. """ return pulumi.get(self, "array_type") @array_type.setter def array_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "array_type", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ The description of the user schema property. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter def enums(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Array of values a primitive property can be set to. See `array_enum` for arrays. """ return pulumi.get(self, "enums") @enums.setter def enums(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "enums", value) @property @pulumi.getter(name="externalName") def external_name(self) -> Optional[pulumi.Input[str]]: """ External name of the user schema property. """ return pulumi.get(self, "external_name") @external_name.setter def external_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "external_name", value) @property @pulumi.getter(name="externalNamespace") def external_namespace(self) -> Optional[pulumi.Input[str]]: """ External name of the user schema property. """ return pulumi.get(self, "external_namespace") @external_namespace.setter def external_namespace(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "external_namespace", value) @property @pulumi.getter def master(self) -> Optional[pulumi.Input[str]]: """ Master priority for the user schema property. It can be set to `"PROFILE_MASTER"`, `"OVERRIDE"` or `"OKTA"`. """ return pulumi.get(self, "master") @master.setter def master(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "master", value) @property @pulumi.getter(name="masterOverridePriorities") def master_override_priorities(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyMasterOverridePriorityArgs']]]]: """ Prioritized list of profile sources (required when `master` is `"OVERRIDE"`). """ return pulumi.get(self, "master_override_priorities") @master_override_priorities.setter def master_override_priorities(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyMasterOverridePriorityArgs']]]]): pulumi.set(self, "master_override_priorities", value) @property @pulumi.getter(name="maxLength") def max_length(self) -> Optional[pulumi.Input[int]]: """ The maximum length of the user property value. Only applies to type `"string"`. """ return pulumi.get(self, "max_length") @max_length.setter def max_length(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_length", value) @property @pulumi.getter(name="minLength") def min_length(self) -> Optional[pulumi.Input[int]]: """ The minimum length of the user property value. Only applies to type `"string"`. """ return pulumi.get(self, "min_length") @min_length.setter def min_length(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "min_length", value) @property @pulumi.getter(name="oneOfs") def one_ofs(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyOneOfArgs']]]]: """ Array of maps containing a mapping for display name to enum value. """ return pulumi.get(self, "one_ofs") @one_ofs.setter def one_ofs(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyOneOfArgs']]]]): pulumi.set(self, "one_ofs", value) @property @pulumi.getter def pattern(self) -> Optional[pulumi.Input[str]]: """ The validation pattern to use for the subschema. Must be in form of '.+', or '[<pattern>]+' if present.' """ return pulumi.get(self, "pattern") @pattern.setter def pattern(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "pattern", value) @property @pulumi.getter def permissions(self) -> Optional[pulumi.Input[str]]: """ Access control permissions for the property. It can be set to `"READ_WRITE"`, `"READ_ONLY"`, `"HIDE"`. """ return pulumi.get(self, "permissions") @permissions.setter def permissions(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "permissions", value) @property @pulumi.getter def required(self) -> Optional[pulumi.Input[bool]]: """ Whether the property is required for this application's users. """ return pulumi.get(self, "required") @required.setter def required(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "required", value) @property @pulumi.getter def scope(self) -> Optional[pulumi.Input[str]]: """ determines whether an app user attribute can be set at the Individual or Group Level. """ return pulumi.get(self, "scope") @scope.setter def scope(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "scope", value) @property @pulumi.getter def unique(self) -> Optional[pulumi.Input[str]]: """ Whether the property should be unique. It can be set to `"UNIQUE_VALIDATED"` or `"NOT_UNIQUE"`. """ return pulumi.get(self, "unique") @unique.setter def unique(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "unique", value) @property @pulumi.getter(name="userType") def user_type(self) -> Optional[pulumi.Input[str]]: """ User type ID """ return pulumi.get(self, "user_type") @user_type.setter def user_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "user_type", value) @pulumi.input_type class _UserSchemaPropertyState: def __init__(__self__, *, array_enums: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, array_one_ofs: Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyArrayOneOfArgs']]]] = None, array_type: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, enums: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, external_name: Optional[pulumi.Input[str]] = None, external_namespace: Optional[pulumi.Input[str]] = None, index: Optional[pulumi.Input[str]] = None, master: Optional[pulumi.Input[str]] = None, master_override_priorities: Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyMasterOverridePriorityArgs']]]] = None, max_length: Optional[pulumi.Input[int]] = None, min_length: Optional[pulumi.Input[int]] = None, one_ofs: Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyOneOfArgs']]]] = None, pattern: Optional[pulumi.Input[str]] = None, permissions: Optional[pulumi.Input[str]] = None, required: Optional[pulumi.Input[bool]] = None, scope: Optional[pulumi.Input[str]] = None, title: Optional[pulumi.Input[str]] = None, type: Optional[pulumi.Input[str]] = None, unique: Optional[pulumi.Input[str]] = None, user_type: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering UserSchemaProperty resources. :param pulumi.Input[Sequence[pulumi.Input[str]]] array_enums: Array of values that an array property's items can be set to. :param pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyArrayOneOfArgs']]] array_one_ofs: Display name and value an enum array can be set to. :param pulumi.Input[str] array_type: The type of the array elements if `type` is set to `"array"`. :param pulumi.Input[str] description: The description of the user schema property. :param pulumi.Input[Sequence[pulumi.Input[str]]] enums: Array of values a primitive property can be set to. See `array_enum` for arrays. :param pulumi.Input[str] external_name: External name of the user schema property. :param pulumi.Input[str] external_namespace: External name of the user schema property. :param pulumi.Input[str] index: The property name. :param pulumi.Input[str] master: Master priority for the user schema property. It can be set to `"PROFILE_MASTER"`, `"OVERRIDE"` or `"OKTA"`. :param pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyMasterOverridePriorityArgs']]] master_override_priorities: Prioritized list of profile sources (required when `master` is `"OVERRIDE"`). :param pulumi.Input[int] max_length: The maximum length of the user property value. Only applies to type `"string"`. :param pulumi.Input[int] min_length: The minimum length of the user property value. Only applies to type `"string"`. :param pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyOneOfArgs']]] one_ofs: Array of maps containing a mapping for display name to enum value. :param pulumi.Input[str] pattern: The validation pattern to use for the subschema. Must be in form of '.+', or '[<pattern>]+' if present.' :param pulumi.Input[str] permissions: Access control permissions for the property. It can be set to `"READ_WRITE"`, `"READ_ONLY"`, `"HIDE"`. :param pulumi.Input[bool] required: Whether the property is required for this application's users. :param pulumi.Input[str] scope: determines whether an app user attribute can be set at the Individual or Group Level. :param pulumi.Input[str] title: display name for the enum value. :param pulumi.Input[str] type: - Type of profile source. :param pulumi.Input[str] unique: Whether the property should be unique. It can be set to `"UNIQUE_VALIDATED"` or `"NOT_UNIQUE"`. :param pulumi.Input[str] user_type: User type ID """ if array_enums is not None: pulumi.set(__self__, "array_enums", array_enums) if array_one_ofs is not None: pulumi.set(__self__, "array_one_ofs", array_one_ofs) if array_type is not None: pulumi.set(__self__, "array_type", array_type) if description is not None: pulumi.set(__self__, "description", description) if enums is not None: pulumi.set(__self__, "enums", enums) if external_name is not None: pulumi.set(__self__, "external_name", external_name) if external_namespace is not None: pulumi.set(__self__, "external_namespace", external_namespace) if index is not None: pulumi.set(__self__, "index", index) if master is not None: pulumi.set(__self__, "master", master) if master_override_priorities is not None: pulumi.set(__self__, "master_override_priorities", master_override_priorities) if max_length is not None: pulumi.set(__self__, "max_length", max_length) if min_length is not None: pulumi.set(__self__, "min_length", min_length) if one_ofs is not None: pulumi.set(__self__, "one_ofs", one_ofs) if pattern is not None: pulumi.set(__self__, "pattern", pattern) if permissions is not None: pulumi.set(__self__, "permissions", permissions) if required is not None: pulumi.set(__self__, "required", required) if scope is not None: pulumi.set(__self__, "scope", scope) if title is not None: pulumi.set(__self__, "title", title) if type is not None: pulumi.set(__self__, "type", type) if unique is not None: pulumi.set(__self__, "unique", unique) if user_type is not None: pulumi.set(__self__, "user_type", user_type) @property @pulumi.getter(name="arrayEnums") def array_enums(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Array of values that an array property's items can be set to. """ return pulumi.get(self, "array_enums") @array_enums.setter def array_enums(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "array_enums", value) @property @pulumi.getter(name="arrayOneOfs") def array_one_ofs(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyArrayOneOfArgs']]]]: """ Display name and value an enum array can be set to. """ return pulumi.get(self, "array_one_ofs") @array_one_ofs.setter def array_one_ofs(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyArrayOneOfArgs']]]]): pulumi.set(self, "array_one_ofs", value) @property @pulumi.getter(name="arrayType") def array_type(self) -> Optional[pulumi.Input[str]]: """ The type of the array elements if `type` is set to `"array"`. """ return pulumi.get(self, "array_type") @array_type.setter def array_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "array_type", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ The description of the user schema property. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter def enums(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ Array of values a primitive property can be set to. See `array_enum` for arrays. """ return pulumi.get(self, "enums") @enums.setter def enums(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "enums", value) @property @pulumi.getter(name="externalName") def external_name(self) -> Optional[pulumi.Input[str]]: """ External name of the user schema property. """ return pulumi.get(self, "external_name") @external_name.setter def external_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "external_name", value) @property @pulumi.getter(name="externalNamespace") def external_namespace(self) -> Optional[pulumi.Input[str]]: """ External name of the user schema property. """ return pulumi.get(self, "external_namespace") @external_namespace.setter def external_namespace(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "external_namespace", value) @property @pulumi.getter def index(self) -> Optional[pulumi.Input[str]]: """ The property name. """ return pulumi.get(self, "index") @index.setter def index(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "index", value) @property @pulumi.getter def master(self) -> Optional[pulumi.Input[str]]: """ Master priority for the user schema property. It can be set to `"PROFILE_MASTER"`, `"OVERRIDE"` or `"OKTA"`. """ return pulumi.get(self, "master") @master.setter def master(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "master", value) @property @pulumi.getter(name="masterOverridePriorities") def master_override_priorities(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyMasterOverridePriorityArgs']]]]: """ Prioritized list of profile sources (required when `master` is `"OVERRIDE"`). """ return pulumi.get(self, "master_override_priorities") @master_override_priorities.setter def master_override_priorities(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyMasterOverridePriorityArgs']]]]): pulumi.set(self, "master_override_priorities", value) @property @pulumi.getter(name="maxLength") def max_length(self) -> Optional[pulumi.Input[int]]: """ The maximum length of the user property value. Only applies to type `"string"`. """ return pulumi.get(self, "max_length") @max_length.setter def max_length(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_length", value) @property @pulumi.getter(name="minLength") def min_length(self) -> Optional[pulumi.Input[int]]: """ The minimum length of the user property value. Only applies to type `"string"`. """ return pulumi.get(self, "min_length") @min_length.setter def min_length(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "min_length", value) @property @pulumi.getter(name="oneOfs") def one_ofs(self) -> Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyOneOfArgs']]]]: """ Array of maps containing a mapping for display name to enum value. """ return pulumi.get(self, "one_ofs") @one_ofs.setter def one_ofs(self, value: Optional[pulumi.Input[Sequence[pulumi.Input['UserSchemaPropertyOneOfArgs']]]]): pulumi.set(self, "one_ofs", value) @property @pulumi.getter def pattern(self) -> Optional[pulumi.Input[str]]: """ The validation pattern to use for the subschema. Must be in form of '.+', or '[<pattern>]+' if present.' """ return pulumi.get(self, "pattern") @pattern.setter def pattern(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "pattern", value) @property @pulumi.getter def permissions(self) -> Optional[pulumi.Input[str]]: """ Access control permissions for the property. It can be set to `"READ_WRITE"`, `"READ_ONLY"`, `"HIDE"`. """ return pulumi.get(self, "permissions") @permissions.setter def permissions(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "permissions", value) @property @pulumi.getter def required(self) -> Optional[pulumi.Input[bool]]: """ Whether the property is required for this application's users. """ return pulumi.get(self, "required") @required.setter def required(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "required", value) @property @pulumi.getter def scope(self) -> Optional[pulumi.Input[str]]: """ determines whether an app user attribute can be set at the Individual or Group Level. """ return pulumi.get(self, "scope") @scope.setter def scope(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "scope", value) @property @pulumi.getter def title(self) -> Optional[pulumi.Input[str]]: """ display name for the enum value. """ return pulumi.get(self, "title") @title.setter def title(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "title", value) @property @pulumi.getter def type(self) -> Optional[pulumi.Input[str]]: """ - Type of profile source. """ return pulumi.get(self, "type") @type.setter def type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "type", value) @property @pulumi.getter def unique(self) -> Optional[pulumi.Input[str]]: """ Whether the property should be unique. It can be set to `"UNIQUE_VALIDATED"` or `"NOT_UNIQUE"`. """ return pulumi.get(self, "unique") @unique.setter def unique(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "unique", value) @property @pulumi.getter(name="userType") def user_type(self) -> Optional[pulumi.Input[str]]: """ User type ID """ return pulumi.get(self, "user_type") @user_type.setter def user_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "user_type", value) class UserSchemaProperty(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, array_enums: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, array_one_ofs: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyArrayOneOfArgs']]]]] = None, array_type: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, enums: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, external_name: Optional[pulumi.Input[str]] = None, external_namespace: Optional[pulumi.Input[str]] = None, index: Optional[pulumi.Input[str]] = None, master: Optional[pulumi.Input[str]] = None, master_override_priorities: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyMasterOverridePriorityArgs']]]]] = None, max_length: Optional[pulumi.Input[int]] = None, min_length: Optional[pulumi.Input[int]] = None, one_ofs: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyOneOfArgs']]]]] = None, pattern: Optional[pulumi.Input[str]] = None, permissions: Optional[pulumi.Input[str]] = None, required: Optional[pulumi.Input[bool]] = None, scope: Optional[pulumi.Input[str]] = None, title: Optional[pulumi.Input[str]] = None, type: Optional[pulumi.Input[str]] = None, unique: Optional[pulumi.Input[str]] = None, user_type: Optional[pulumi.Input[str]] = None, __props__=None): """ Creates a User Schema property. This resource allows you to create and configure a custom user schema property. ## Example Usage ```python import pulumi import pulumi_okta as okta example = okta.UserSchemaProperty("example", description="My custom property name", index="customPropertyName", master="OKTA", scope="SELF", title="customPropertyName", type="string", user_type=data["okta_user_type"]["example"]["id"]) ``` ## Import User schema property of default user type can be imported via the property index. ```sh $ pulumi import okta:index/userSchemaProperty:UserSchemaProperty example <index> ``` User schema property of custom user type can be imported via user type id and property index ```sh $ pulumi import okta:index/userSchemaProperty:UserSchemaProperty example <user type id>.<index> ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Sequence[pulumi.Input[str]]] array_enums: Array of values that an array property's items can be set to. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyArrayOneOfArgs']]]] array_one_ofs: Display name and value an enum array can be set to. :param pulumi.Input[str] array_type: The type of the array elements if `type` is set to `"array"`. :param pulumi.Input[str] description: The description of the user schema property. :param pulumi.Input[Sequence[pulumi.Input[str]]] enums: Array of values a primitive property can be set to. See `array_enum` for arrays. :param pulumi.Input[str] external_name: External name of the user schema property. :param pulumi.Input[str] external_namespace: External name of the user schema property. :param pulumi.Input[str] index: The property name. :param pulumi.Input[str] master: Master priority for the user schema property. It can be set to `"PROFILE_MASTER"`, `"OVERRIDE"` or `"OKTA"`. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyMasterOverridePriorityArgs']]]] master_override_priorities: Prioritized list of profile sources (required when `master` is `"OVERRIDE"`). :param pulumi.Input[int] max_length: The maximum length of the user property value. Only applies to type `"string"`. :param pulumi.Input[int] min_length: The minimum length of the user property value. Only applies to type `"string"`. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyOneOfArgs']]]] one_ofs: Array of maps containing a mapping for display name to enum value. :param pulumi.Input[str] pattern: The validation pattern to use for the subschema. Must be in form of '.+', or '[<pattern>]+' if present.' :param pulumi.Input[str] permissions: Access control permissions for the property. It can be set to `"READ_WRITE"`, `"READ_ONLY"`, `"HIDE"`. :param pulumi.Input[bool] required: Whether the property is required for this application's users. :param pulumi.Input[str] scope: determines whether an app user attribute can be set at the Individual or Group Level. :param pulumi.Input[str] title: display name for the enum value. :param pulumi.Input[str] type: - Type of profile source. :param pulumi.Input[str] unique: Whether the property should be unique. It can be set to `"UNIQUE_VALIDATED"` or `"NOT_UNIQUE"`. :param pulumi.Input[str] user_type: User type ID """ ... @overload def __init__(__self__, resource_name: str, args: UserSchemaPropertyArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Creates a User Schema property. This resource allows you to create and configure a custom user schema property. ## Example Usage ```python import pulumi import pulumi_okta as okta example = okta.UserSchemaProperty("example", description="My custom property name", index="customPropertyName", master="OKTA", scope="SELF", title="customPropertyName", type="string", user_type=data["okta_user_type"]["example"]["id"]) ``` ## Import User schema property of default user type can be imported via the property index. ```sh $ pulumi import okta:index/userSchemaProperty:UserSchemaProperty example <index> ``` User schema property of custom user type can be imported via user type id and property index ```sh $ pulumi import okta:index/userSchemaProperty:UserSchemaProperty example <user type id>.<index> ``` :param str resource_name: The name of the resource. :param UserSchemaPropertyArgs 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(UserSchemaPropertyArgs, 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, array_enums: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, array_one_ofs: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyArrayOneOfArgs']]]]] = None, array_type: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, enums: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, external_name: Optional[pulumi.Input[str]] = None, external_namespace: Optional[pulumi.Input[str]] = None, index: Optional[pulumi.Input[str]] = None, master: Optional[pulumi.Input[str]] = None, master_override_priorities: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyMasterOverridePriorityArgs']]]]] = None, max_length: Optional[pulumi.Input[int]] = None, min_length: Optional[pulumi.Input[int]] = None, one_ofs: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyOneOfArgs']]]]] = None, pattern: Optional[pulumi.Input[str]] = None, permissions: Optional[pulumi.Input[str]] = None, required: Optional[pulumi.Input[bool]] = None, scope: Optional[pulumi.Input[str]] = None, title: Optional[pulumi.Input[str]] = None, type: Optional[pulumi.Input[str]] = None, unique: Optional[pulumi.Input[str]] = None, user_type: 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__ = UserSchemaPropertyArgs.__new__(UserSchemaPropertyArgs) __props__.__dict__["array_enums"] = array_enums __props__.__dict__["array_one_ofs"] = array_one_ofs __props__.__dict__["array_type"] = array_type __props__.__dict__["description"] = description __props__.__dict__["enums"] = enums __props__.__dict__["external_name"] = external_name __props__.__dict__["external_namespace"] = external_namespace if index is None and not opts.urn: raise TypeError("Missing required property 'index'") __props__.__dict__["index"] = index __props__.__dict__["master"] = master __props__.__dict__["master_override_priorities"] = master_override_priorities __props__.__dict__["max_length"] = max_length __props__.__dict__["min_length"] = min_length __props__.__dict__["one_ofs"] = one_ofs __props__.__dict__["pattern"] = pattern __props__.__dict__["permissions"] = permissions __props__.__dict__["required"] = required __props__.__dict__["scope"] = scope if title is None and not opts.urn: raise TypeError("Missing required property 'title'") __props__.__dict__["title"] = title if type is None and not opts.urn: raise TypeError("Missing required property 'type'") __props__.__dict__["type"] = type __props__.__dict__["unique"] = unique __props__.__dict__["user_type"] = user_type super(UserSchemaProperty, __self__).__init__( 'okta:index/userSchemaProperty:UserSchemaProperty', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, array_enums: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, array_one_ofs: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyArrayOneOfArgs']]]]] = None, array_type: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, enums: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, external_name: Optional[pulumi.Input[str]] = None, external_namespace: Optional[pulumi.Input[str]] = None, index: Optional[pulumi.Input[str]] = None, master: Optional[pulumi.Input[str]] = None, master_override_priorities: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyMasterOverridePriorityArgs']]]]] = None, max_length: Optional[pulumi.Input[int]] = None, min_length: Optional[pulumi.Input[int]] = None, one_ofs: Optional[pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyOneOfArgs']]]]] = None, pattern: Optional[pulumi.Input[str]] = None, permissions: Optional[pulumi.Input[str]] = None, required: Optional[pulumi.Input[bool]] = None, scope: Optional[pulumi.Input[str]] = None, title: Optional[pulumi.Input[str]] = None, type: Optional[pulumi.Input[str]] = None, unique: Optional[pulumi.Input[str]] = None, user_type: Optional[pulumi.Input[str]] = None) -> 'UserSchemaProperty': """ Get an existing UserSchemaProperty 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[Sequence[pulumi.Input[str]]] array_enums: Array of values that an array property's items can be set to. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyArrayOneOfArgs']]]] array_one_ofs: Display name and value an enum array can be set to. :param pulumi.Input[str] array_type: The type of the array elements if `type` is set to `"array"`. :param pulumi.Input[str] description: The description of the user schema property. :param pulumi.Input[Sequence[pulumi.Input[str]]] enums: Array of values a primitive property can be set to. See `array_enum` for arrays. :param pulumi.Input[str] external_name: External name of the user schema property. :param pulumi.Input[str] external_namespace: External name of the user schema property. :param pulumi.Input[str] index: The property name. :param pulumi.Input[str] master: Master priority for the user schema property. It can be set to `"PROFILE_MASTER"`, `"OVERRIDE"` or `"OKTA"`. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyMasterOverridePriorityArgs']]]] master_override_priorities: Prioritized list of profile sources (required when `master` is `"OVERRIDE"`). :param pulumi.Input[int] max_length: The maximum length of the user property value. Only applies to type `"string"`. :param pulumi.Input[int] min_length: The minimum length of the user property value. Only applies to type `"string"`. :param pulumi.Input[Sequence[pulumi.Input[pulumi.InputType['UserSchemaPropertyOneOfArgs']]]] one_ofs: Array of maps containing a mapping for display name to enum value. :param pulumi.Input[str] pattern: The validation pattern to use for the subschema. Must be in form of '.+', or '[<pattern>]+' if present.' :param pulumi.Input[str] permissions: Access control permissions for the property. It can be set to `"READ_WRITE"`, `"READ_ONLY"`, `"HIDE"`. :param pulumi.Input[bool] required: Whether the property is required for this application's users. :param pulumi.Input[str] scope: determines whether an app user attribute can be set at the Individual or Group Level. :param pulumi.Input[str] title: display name for the enum value. :param pulumi.Input[str] type: - Type of profile source. :param pulumi.Input[str] unique: Whether the property should be unique. It can be set to `"UNIQUE_VALIDATED"` or `"NOT_UNIQUE"`. :param pulumi.Input[str] user_type: User type ID """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _UserSchemaPropertyState.__new__(_UserSchemaPropertyState) __props__.__dict__["array_enums"] = array_enums __props__.__dict__["array_one_ofs"] = array_one_ofs __props__.__dict__["array_type"] = array_type __props__.__dict__["description"] = description __props__.__dict__["enums"] = enums __props__.__dict__["external_name"] = external_name __props__.__dict__["external_namespace"] = external_namespace __props__.__dict__["index"] = index __props__.__dict__["master"] = master __props__.__dict__["master_override_priorities"] = master_override_priorities __props__.__dict__["max_length"] = max_length __props__.__dict__["min_length"] = min_length __props__.__dict__["one_ofs"] = one_ofs __props__.__dict__["pattern"] = pattern __props__.__dict__["permissions"] = permissions __props__.__dict__["required"] = required __props__.__dict__["scope"] = scope __props__.__dict__["title"] = title __props__.__dict__["type"] = type __props__.__dict__["unique"] = unique __props__.__dict__["user_type"] = user_type return UserSchemaProperty(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="arrayEnums") def array_enums(self) -> pulumi.Output[Optional[Sequence[str]]]: """ Array of values that an array property's items can be set to. """ return pulumi.get(self, "array_enums") @property @pulumi.getter(name="arrayOneOfs") def array_one_ofs(self) -> pulumi.Output[Optional[Sequence['outputs.UserSchemaPropertyArrayOneOf']]]: """ Display name and value an enum array can be set to. """ return pulumi.get(self, "array_one_ofs") @property @pulumi.getter(name="arrayType") def array_type(self) -> pulumi.Output[Optional[str]]: """ The type of the array elements if `type` is set to `"array"`. """ return pulumi.get(self, "array_type") @property @pulumi.getter def description(self) -> pulumi.Output[Optional[str]]: """ The description of the user schema property. """ return pulumi.get(self, "description") @property @pulumi.getter def enums(self) -> pulumi.Output[Optional[Sequence[str]]]: """ Array of values a primitive property can be set to. See `array_enum` for arrays. """ return pulumi.get(self, "enums") @property @pulumi.getter(name="externalName") def external_name(self) -> pulumi.Output[Optional[str]]: """ External name of the user schema property. """ return pulumi.get(self, "external_name") @property @pulumi.getter(name="externalNamespace") def external_namespace(self) -> pulumi.Output[Optional[str]]: """ External name of the user schema property. """ return pulumi.get(self, "external_namespace") @property @pulumi.getter def index(self) -> pulumi.Output[str]: """ The property name. """ return pulumi.get(self, "index") @property @pulumi.getter def master(self) -> pulumi.Output[Optional[str]]: """ Master priority for the user schema property. It can be set to `"PROFILE_MASTER"`, `"OVERRIDE"` or `"OKTA"`. """ return pulumi.get(self, "master") @property @pulumi.getter(name="masterOverridePriorities") def master_override_priorities(self) -> pulumi.Output[Optional[Sequence['outputs.UserSchemaPropertyMasterOverridePriority']]]: """ Prioritized list of profile sources (required when `master` is `"OVERRIDE"`). """ return pulumi.get(self, "master_override_priorities") @property @pulumi.getter(name="maxLength") def max_length(self) -> pulumi.Output[Optional[int]]: """ The maximum length of the user property value. Only applies to type `"string"`. """ return pulumi.get(self, "max_length") @property @pulumi.getter(name="minLength") def min_length(self) -> pulumi.Output[Optional[int]]: """ The minimum length of the user property value. Only applies to type `"string"`. """ return pulumi.get(self, "min_length") @property @pulumi.getter(name="oneOfs") def one_ofs(self) -> pulumi.Output[Optional[Sequence['outputs.UserSchemaPropertyOneOf']]]: """ Array of maps containing a mapping for display name to enum value. """ return pulumi.get(self, "one_ofs") @property @pulumi.getter def pattern(self) -> pulumi.Output[Optional[str]]: """ The validation pattern to use for the subschema. Must be in form of '.+', or '[<pattern>]+' if present.' """ return pulumi.get(self, "pattern") @property @pulumi.getter def permissions(self) -> pulumi.Output[Optional[str]]: """ Access control permissions for the property. It can be set to `"READ_WRITE"`, `"READ_ONLY"`, `"HIDE"`. """ return pulumi.get(self, "permissions") @property @pulumi.getter def required(self) -> pulumi.Output[Optional[bool]]: """ Whether the property is required for this application's users. """ return pulumi.get(self, "required") @property @pulumi.getter def scope(self) -> pulumi.Output[Optional[str]]: """ determines whether an app user attribute can be set at the Individual or Group Level. """ return pulumi.get(self, "scope") @property @pulumi.getter def title(self) -> pulumi.Output[str]: """ display name for the enum value. """ return pulumi.get(self, "title") @property @pulumi.getter def type(self) -> pulumi.Output[str]: """ - Type of profile source. """ return pulumi.get(self, "type") @property @pulumi.getter def unique(self) -> pulumi.Output[Optional[str]]: """ Whether the property should be unique. It can be set to `"UNIQUE_VALIDATED"` or `"NOT_UNIQUE"`. """ return pulumi.get(self, "unique") @property @pulumi.getter(name="userType") def user_type(self) -> pulumi.Output[Optional[str]]: """ User type ID """ return pulumi.get(self, "user_type")

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8

62147de95581eca38deaf6136f0bd1d593d7997b

130

py

Python

ninjalooter/tests/test_window.py

ewjax/ninjalooter

9faf94eed56de3c375cca4d1be24eab20dc7b226

[ "MIT" ]

4

2020-08-30T12:57:03.000Z

2022-03-18T15:11:13.000Z

ninjalooter/tests/test_window.py

ewjax/ninjalooter

9faf94eed56de3c375cca4d1be24eab20dc7b226

[ "MIT" ]

5

2022-01-07T03:17:32.000Z

2022-03-27T21:20:12.000Z

ninjalooter/tests/test_window.py

ewjax/ninjalooter

9faf94eed56de3c375cca4d1be24eab20dc7b226

[ "MIT" ]

1

2021-12-28T02:18:04.000Z

from ninjalooter.tests import base # TODO: placeholder class, can window be tested? class TestWindow(base.NLTestBase): pass

18.571429

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62268064cf1b1e6f9767f4512b5ca6d09b5b3d47

301,418

py

Python

Xerus/GSASII/testinp/sgtbxtestinp.py

pedrobcst/Xerus

09df088e0207176df0d20715e1c9778d09d28250

[ "MIT" ]

18

2021-12-10T03:05:49.000Z

2022-03-25T15:48:35.000Z

Xerus/GSASII/testinp/sgtbxtestinp.py

pedrobcst/Xerus

09df088e0207176df0d20715e1c9778d09d28250

[ "MIT" ]

14

2022-02-24T11:09:26.000Z

2022-03-30T07:42:17.000Z

Xerus/GSASII/testinp/sgtbxtestinp.py

pedrobcst/Xerus

09df088e0207176df0d20715e1c9778d09d28250

[ "MIT" ]

1

2022-02-25T16:26:54.000Z

# output from sgtbx computed on platform win32 on 2010-04-28 sgtbx = { 'p 2 3': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'f 2 3': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , ], 'i 2 3': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'p 21 3': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , ], 'i 21 3': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 1.0, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 1.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 1.0, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 1.0, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 1.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 1.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 1.0, 0.5) , ], 'p m 3': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , ], 'p n -3': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 0.0, 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0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , ], 'f d -3': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.25, 0.25, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.25, 0.25) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.25, 0.0, 0.25) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.25, 0.25, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.25, 0.0, 0.25) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.25, 0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.25, 0.25) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.25, 0.0, 0.25) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.25, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, -0.25, -0.25, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.25, -0.25) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, -0.25, 0.0, -0.25) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, -0.25, -0.25, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.25, 0.0, -0.25) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -0.25, -0.25) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.25, -0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.25, 0.0, -0.25) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.25, -0.25, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.25, 0.75, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.75, 0.75) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.25, 0.5, 0.75) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.25, 0.75, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.25, 0.5, 0.75) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.75, 0.75) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.75, 0.75) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.25, 0.5, 0.75) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.75, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, -0.25, 0.25, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.25, 0.25) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, -0.25, 0.5, 0.25) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, -0.25, 0.25, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.25, 0.5, 0.25) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.25, 0.25) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.25, 0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.25, 0.5, 0.25) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.25, 0.25, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.75, 0.25, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.25, 0.75) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.75, 0.0, 0.75) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.75, 0.25, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.75, 0.0, 0.75) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.25, 0.75) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.25, 0.75) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.75, 0.0, 0.75) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.75, 0.25, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.25, -0.25, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, -0.25, 0.25) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.25, 0.0, 0.25) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.25, -0.25, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.25, 0.0, 0.25) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, -0.25, 0.25) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, -0.25, 0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.0, 0.25) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.25, -0.25, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.75, 0.75, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.75, 0.25) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.75, 0.5, 0.25) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.75, 0.75, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.75, 0.5, 0.25) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.75, 0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.75, 0.25) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.75, 0.5, 0.25) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.75, 0.75, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.25, 0.25, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.25, -0.25) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.25, 0.5, -0.25) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.25, 0.25, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.25, 0.5, -0.25) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.25, -0.25) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.25, -0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.5, -0.25) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.25, 0.25, 0.0) , ], 'i m -3': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , ], 'p a 3': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, -0.5, 0.0, -0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, -0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -0.5, -0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, -0.5, 0.0, -0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5, -0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, -0.5, -0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -0.5, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, -0.5) , ], 'i a 3': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -0.5, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, -0.5, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, -0.5, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, -0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 1.0, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 1.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 1.0, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 1.0, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 1.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 1.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 1.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , ], 'p 4 3 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 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0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , ], 'f m -3 c': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.0) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.0) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.0) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.0) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, -0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, -0.5, 0.0, 0.0) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, -0.5, 0.0, 0.0) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, -0.5, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, 0.0) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, -0.5, 0.0, 0.0) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, -0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, -0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, -0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, -0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, -0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, -0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, -0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, -0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, -0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, -0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, -0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.5) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 1.0, 0.0, 0.5) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.5) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.5) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 1.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.5) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.5) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.5) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 1.0, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 1.0, 0.5, 0.0) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 1.0, 0.5, 0.0) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 1.0, 0.5, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.5, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.5, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 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-1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.5, 0.0) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.0) , ], 'f d 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0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.25, 0.5, -0.75) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.25, -0.25, 0.0) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.25, -0.25, 0.0) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.25, -0.75) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.25, -0.75) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.25, 0.5, -0.75) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.25, 0.25, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.25, -0.25) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.25, 0.5, -0.25) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.25, 0.25, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.25, 0.5, -0.25) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.25, -0.25) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.25, -0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.5, -0.25) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.25, 0.25, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.25, -0.25, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.25, 0.5, -0.75) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.5, 0.25, -0.75) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.0) , ], 'i m -3 m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 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(0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , ], 'i a -3 d': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.25, 0.25, 0.75) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.25, 0.75, 0.75) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.25, 0.75, 0.75) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.25, 0.75, 0.25) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.75, 0.25) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.25, 0.75) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.0) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.25, 0.75, 0.75) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.25, 0.25, 0.25) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.25, 0.25, 0.75) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.25, 0.25, 0.25) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.25, 0.75, 0.25) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.25, 0.25, 0.25) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, -0.25, -0.25, -0.75) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, -0.25, -0.75, -0.75) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, -0.25, -0.75, -0.75) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, -0.25, -0.75, -0.25) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.25, -0.75, -0.25) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.25, -0.25, -0.75) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -0.5, 0.0) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, -0.5, 0.0, 0.0) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, -0.5, 0.0) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, 0.0, 0.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 0.0, -0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, -0.5, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, -0.25, -0.75, -0.75) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, -0.25, -0.25, -0.25) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, -0.25, -0.25, -0.75) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, -0.25, -0.25, -0.25) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, -0.25, -0.75, -0.25) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, -0.25, -0.25, -0.25) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.75, 0.75, 1.25) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.75, 1.25, 1.25) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.75, 1.25, 1.25) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.75, 1.25, 0.75) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.75, 1.25, 0.75) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.75, 0.75, 1.25) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.5, 1.0, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 1.0) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 1.0, 0.5, 0.5) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 1.0, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 1.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 1.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 1.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.75, 1.25, 1.25) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.75, 0.75, 0.75) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.75, 0.75, 1.25) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.75, 0.75, 0.75) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.75, 1.25, 0.75) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.75, 0.75, 0.75) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.25, 0.25, -0.25) , (-1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.25, -0.25, -0.25) , (0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.25, -0.25, -0.25) , (0.0, 0.0, 1.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.25, -0.25, 0.25) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.25, -0.25, 0.25) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.25, 0.25, -0.25) , (0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, -1.0, -1.0, 0.0, 0.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 0.5, 0.5) , (0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0, 0.5) , (0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5, 0.5) , (0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.0, 0.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.25, -0.25, -0.25) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.25, 0.25) , (0.0, 0.0, -1.0, 0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.25, 0.25, -0.25) , (0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.25, 0.25, 0.25) , (1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -1.0, 0.0, 0.25, -0.25, 0.25) , (1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.0, 0.25, 0.25, 0.25) , ], 'p 2 2 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p 2 2 21': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , ], 'p 21 21 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p 21 21 21': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , ], 'c 2 2 21': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'c 2 2 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , ], 'f 2 2 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , ], 'i 2 2 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'i 21 21 21': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 1.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 1.0, 0.5) , ], 'p m m 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p m c 21': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , ], 'p c c 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , ], 'p m a 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , ], 'p c a 21': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , ], 'p n c 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , ], 'p m n 21': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , ], 'p b a 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , ], 'p n a 21': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , ], 'p n n 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'c m m 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , ], 'c m c 21': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'c c c 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'a m m 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , ], 'a b m 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 1.0, 0.5) , ], 'a m a 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'a b a 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 1.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 1.0, 0.5) , ], 'f m m 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , ], 'f d d 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.25, 0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.25, 0.25) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.75, 0.75) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.75, 0.75) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.75, 0.25, 0.75) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.75, 0.25, 0.75) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.75, 0.75, 0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.75, 0.75, 0.25) , ], 'i m m 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'i b a 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 1.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 1.0) , ], 'i m a 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.5, 0.5) , ], 'p m m m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , ], 'p n n n': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, -0.5, 0.0) , ], 'p c c m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , ], 'p b a n': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, -0.5, 0.0) , ], 'p m m a': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, 0.0) , ], 'p n n a': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.5, -0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, 0.0) , ], 'p m n a': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, -0.5) , ], 'p c c a': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, 0.0) , ], 'p b a m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -0.5, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.5, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , ], 'p c c n': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, -0.5, 0.0) , ], 'p b c m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, -0.5) , ], 'p n n m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -0.5, -0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.5, -0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , ], 'p m m n': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, -0.5, 0.0) , ], 'p b c n': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -0.5, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, -0.5, -0.5) , ], 'p b c a': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -0.5, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, -0.5) , ], 'p n m a': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -0.5, -0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, -0.5) , ], 'c m c m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, -0.5) , ], 'c m c a': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, -0.5) , ], 'c m m m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , ], 'c c c m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , ], 'c m m a': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0) , ], 'c c c a': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0) , ], 'f m m m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , ], 'f d d d': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.25, 0.25) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.25, 0.0, 0.25) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.25, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.25, -0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.25, 0.0, -0.25) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.25, -0.25, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.75, 0.75) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.25, 0.5, 0.75) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.75, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.25, 0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.25, 0.5, 0.25) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.25, 0.25, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.25, 0.75) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.75, 0.0, 0.75) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.75, 0.25, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, -0.25, 0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.0, 0.25) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.25, -0.25, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.75, 0.25) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.75, 0.5, 0.25) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.75, 0.75, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.25, -0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.5, -0.25) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.25, 0.25, 0.0) , ], 'i m m m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , ], 'i b a m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 1.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 1.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , ], 'i b c a': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, -0.5, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 1.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 1.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , ], 'i m m a': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 1.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 1.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , ], 'p 4': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p 41': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.25) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.75) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , ], 'p 42': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p 43': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.75) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.25) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , ], 'i 4': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'i 41': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.75) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.75) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.5, 1.25) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.5, 1.25) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'p -4': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'i -4': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'p 4/m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , ], 'p 42/m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, -0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , ], 'p 4/n': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, -0.5, 0.0) , ], 'p 42/n': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, -0.5, -0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.5, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, -0.5, -0.5, 0.0) , ], 'i 4/m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , ], 'i 41/a': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.75, 0.75) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.25, 0.25, 0.25) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.25, -0.75, -0.75) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, -0.25, -0.25, -0.25) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, -0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.75, 1.25, 1.25) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.75, 0.75, 0.75) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 1.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.25, -0.25, -0.25) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.25, 0.25, 0.25) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.5) , ], 'p 4 2 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , ], 'p 4 21 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) 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0.5, 0.75) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.25) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , ], 'p 42 2 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , ], 'p 42 21 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , ], 'p 43 2 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.75) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.25) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.75) , ], 'p 43 21 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 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0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , ], 'i 41 2 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.75) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.0, 0.75) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.75) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.75) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.5, 1.25) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 1.0, 0.5, 1.25) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.5, 1.25) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 1.0, 0.5, 1.25) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , ], 'p 4 m m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p 4 b m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , ], 'p 42 c m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p 42 n m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p 4 c c': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , ], 'p 4 n c': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'p 42 m c': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , ], 'p 42 b c': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'i 4 m m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 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1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p -4 2 c': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , ], 'p -4 21 m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , ], 'p -4 21 c': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.5, 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0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , ], 'p -4 b 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.0) , ], 'p -4 n 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , ], 'i -4 m 2': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , (0.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (0.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.5, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.5, 0.5, 0.5) , 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1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , ], 'p 6 m m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p 6 c c': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, -1.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , ], 'p 63 c m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p 63 m c': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 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0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p -6 2 c': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (1.0, -1.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , ], 'p 6/m m m': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 1.0, 0.0, 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0.0, 0.0) , (1.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p 6/m c c': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, -1.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (-1.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , ], 'p 63/m c m': [ 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1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, -0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , ], 'p 63/m m c': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, -1.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (1.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.5) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, -0.5) , (0.0, -1.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, -0.5) , (0.0, 1.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (1.0, -1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0) , (-1.0, 1.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 1.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, -0.5) , (0.0, -1.0, 0.0, -1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (0.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (1.0, -1.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , (-1.0, 0.0, 0.0, -1.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, -0.5) , ], 'p 21 1 1': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, -1.0, 0.5, 0.0, 0.0) , ], 'p 1 21 1': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.5, 0.0) , ], 'p 1 1 21': [ (1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.0) , (-1.0, 0.0, 0.0, 0.0, -1.0, 0.0, 0.0, 0.0, 1.0, 0.0, 0.0, 0.5) , ], }

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enformer_pytorch/__init__.py

simonlevine/enformer-pytorch

342915c3f9385f5f24ee4d1d9965d126d49ca279

[ "MIT" ]

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enformer_pytorch/__init__.py

simonlevine/enformer-pytorch

342915c3f9385f5f24ee4d1d9965d126d49ca279

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enformer_pytorch/__init__.py

simonlevine/enformer-pytorch

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from enformer_pytorch.enformer_pytorch import Enformer, SEQUENCE_LENGTH, AttentionPool, seq_indices_to_one_hot from enformer_pytorch.model_loader import load_pretrained_model

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Python

src/petronia/defimpl/logging/console/__init__.py

groboclown/petronia

486338023d19cee989e92f0c5692680f1a37811f

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src/petronia/defimpl/logging/console/__init__.py

groboclown/petronia

486338023d19cee989e92f0c5692680f1a37811f

[ "MIT" ]

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src/petronia/defimpl/logging/console/__init__.py

groboclown/petronia

486338023d19cee989e92f0c5692680f1a37811f

[ "MIT" ]

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2017-09-17T03:29:35.000Z

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""" Console-based logging. """ from .bootstrap import bootstrap_console_logger as start_extension from .bootstrap import EXTENSION_METADATA

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Python

tripod/util/__init__.py

amaarora/tripod

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[ "Apache-2.0" ]

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tripod/util/__init__.py

amaarora/tripod

bf749da8f223aa208befc398f461549001833ff4

[ "Apache-2.0" ]

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tripod/util/__init__.py

amaarora/tripod

bf749da8f223aa208befc398f461549001833ff4

[ "Apache-2.0" ]

null

# ------------------------------------------------------------------------ # Modified from DETR (https://github.com/facebookresearch/detr) # and UP-DETR (https://github.com/dddzg/up-detr) # Copyright 2021 Aman Arora # ------------------------------------------------------------------------

48.5

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1

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1

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null

0

1

0

7

b861f52e61e7c5f547ed5628da88f14c366cf1b9

5,091

py

Python

EEG_Lightning/tools/process_predict_task_2.py

mcd4874/NeurIPS_competition

4df1f222929e9824a55c9c4ae6634743391b0fe9

[ "MIT" ]

23

2021-10-14T02:31:06.000Z

2022-01-25T16:26:44.000Z

EEG_Lightning/tools/process_predict_task_2.py

mcd4874/NeurIPS_competition

4df1f222929e9824a55c9c4ae6634743391b0fe9

[ "MIT" ]

null

EEG_Lightning/tools/process_predict_task_2.py

mcd4874/NeurIPS_competition

4df1f222929e9824a55c9c4ae6634743391b0fe9

[ "MIT" ]

1

2022-03-05T06:54:11.000Z

import numpy as np import pandas as pd import os # exp="\\task_2_final_2\\LA_EA\\tune_filter\\2" # # exp="" # model_path = "C:\\wduong_folder\Dassl.pytorch-master\\NeurIPS_competition\\EEG_Lightning\\NeurIPS_2{}\\no_aug\\no_norm\\mcdV1".format(exp) # # #task 2 final 2 # dataset_A_0_result_path = model_path+"\\dataset_A_0\model\\predict_folder" # dataset_A_1_result_path = model_path+"\\dataset_A_1\model\\predict_folder" # dataset_A_2_result_path = model_path+"\\dataset_A_2\model\\predict_folder" # # # # # dataset_B_0_result_path = model_path+"\\dataset_B_0\model\\predict_folder" # dataset_B_1_result_path = model_path+"\\dataset_B_1\model\\predict_folder" # # case="compare_against_vernon" # # case="task_2_final_20" # exp="\\LA_EA\\tune_filter\\3" # # exp="" # model_path = "C:\\wduong_folder\Dassl.pytorch-master\\NeurIPS_competition\\EEG_Lightning\\NeurIPS_4{}\\no_aug\\no_norm\\mcdV1".format(exp) # # #task 2 final 2 # dataset_A_0_result_path = model_path+"\\dataset_A_0\model\\predict_folder" # dataset_A_1_result_path = model_path+"\\dataset_A_1\model\\predict_folder" # dataset_A_2_result_path = model_path+"\\dataset_A_2\model\\predict_folder" # # # # # dataset_B_0_result_path = model_path+"\\dataset_B_0\model\\predict_folder" # dataset_B_1_result_path = model_path+"\\dataset_B_1\model\\predict_folder" # # case="compare_against_vernon" # # case="task_2_final_21" # exp="\\LA_EA\\tune_filter\\5" # # exp="" # model_path = "C:\\wduong_folder\Dassl.pytorch-master\\NeurIPS_competition\\EEG_Lightning\\NeurIPS_4{}\\no_aug\\no_norm\\mcdV1".format(exp) # # #task 2 final 2 # dataset_A_0_result_path = model_path+"\\dataset_A_0\model\\predict_folder" # dataset_A_1_result_path = model_path+"\\dataset_A_1\model\\predict_folder" # dataset_A_2_result_path = model_path+"\\dataset_A_2\model\\predict_folder" # # # # # dataset_B_0_result_path = model_path+"\\dataset_B_0\model\\predict_folder" # dataset_B_1_result_path = model_path+"\\dataset_B_1\model\\predict_folder" # # case="compare_against_vernon" # # case="task_2_final_22" # exp="\\filterbank\\best" # # exp="" # model_path = "C:\\wduong_folder\Dassl.pytorch-master\\NeurIPS_competition\\EEG_Lightning\\NeurIPS_4{}\\no_aug\\no_norm\\mcdV1".format(exp) # # #task 2 final 2 # dataset_A_0_result_path = model_path+"\\dataset_A_0\model\\predict_folder" # dataset_A_1_result_path = model_path+"\\dataset_A_1\model\\predict_folder" # dataset_A_2_result_path = model_path+"\\dataset_A_2\model\\predict_folder" # # # # # dataset_B_0_result_path = model_path+"\\dataset_B_0\model\\predict_folder" # dataset_B_1_result_path = model_path+"\\dataset_B_1\model\\predict_folder" # # case="compare_against_vernon" # # case="task_2_final_24" # exp="\\best_extend_last" # # exp="" # model_path = "C:\\wduong_folder\Dassl.pytorch-master\\NeurIPS_competition\\EEG_Lightning\\NeurIPS_4{}\\no_aug\\no_norm\\mcdV1".format(exp) # # #task 2 final 2 # dataset_A_0_result_path = model_path+"\\dataset_A_0\model\\predict_folder" # dataset_A_1_result_path = model_path+"\\dataset_A_1\model\\predict_folder" # dataset_A_2_result_path = model_path+"\\dataset_A_2\model\\predict_folder" # # # # # dataset_B_0_result_path = model_path+"\\dataset_B_0\model\\predict_folder" # dataset_B_1_result_path = model_path+"\\dataset_B_1\model\\predict_folder" # # case="compare_against_vernon" # # case="task_2_final_26" exp="\\no_fmin_ex" # exp="" model_path = "C:\\wduong_folder\Dassl.pytorch-master\\NeurIPS_competition\\EEG_Lightning\\NeurIPS_5{}\\no_aug\\no_norm\\mcdV1".format(exp) #task 2 final 2 dataset_A_0_result_path = model_path+"\\dataset_A_0\model\\predict_folder" dataset_A_1_result_path = model_path+"\\dataset_A_1\model\\predict_folder" dataset_A_2_result_path = model_path+"\\dataset_A_2\model\\predict_folder" # # dataset_B_0_result_path = model_path+"\\dataset_B_0\model\\predict_folder" dataset_B_1_result_path = model_path+"\\dataset_B_1\model\\predict_folder" # case="compare_against_vernon" case="task_2_final_27" file = "pred_MI_label.txt" pred_A_0 = np.loadtxt(os.path.join(dataset_A_0_result_path, file), delimiter=',') pred_A_1 = np.loadtxt(os.path.join(dataset_A_1_result_path, file), delimiter=',') pred_A_2 = np.loadtxt(os.path.join(dataset_A_2_result_path, file), delimiter=',') pred_B_0 = np.loadtxt(os.path.join(dataset_B_0_result_path, file), delimiter=',') pred_B_1 = np.loadtxt(os.path.join(dataset_B_1_result_path, file), delimiter=',') pred_A = np.concatenate([pred_A_0,pred_A_1,pred_A_2]) pred_B = np.concatenate([pred_B_0,pred_B_1]) final_pred = np.concatenate([pred_A,pred_B]) answer_folder = os.path.join("util",case) if not os.path.exists(answer_folder): os.makedirs(answer_folder) path = os.path.join(answer_folder,"answer.txt") np.savetxt(path,final_pred,delimiter=',',fmt="%d") def count(label,name=""): count_0 = len(np.where(label == 0)[0]) count_1 = len(np.where(label == 1)[0]) count_2 = len(np.where(label == 2)[0]) print("dataset {}, has {} label 0, {} label 1, and {} label 2".format(name,count_0,count_1,count_2)) count(pred_A,"dataset A") count(pred_B,"dataset B")

36.891304

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0.758986

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0.09198

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7

b88580536c76ee65dd86fbba0d3f65c1b2e3372a

39,715

py

Python

python/sbp/linux.py

Patrick-Luo-THR/libsbp

d42e4a1e3cedf6a82b1d993b82e0da148401f80d

[ "MIT" ]

65

2015-03-25T10:28:10.000Z

2022-02-24T12:36:49.000Z

python/sbp/linux.py

Patrick-Luo-THR/libsbp

d42e4a1e3cedf6a82b1d993b82e0da148401f80d

[ "MIT" ]

654

2015-03-24T17:43:55.000Z

2022-03-31T21:42:49.000Z

python/sbp/linux.py

Patrick-Luo-THR/libsbp

d42e4a1e3cedf6a82b1d993b82e0da148401f80d

[ "MIT" ]

110

2015-03-24T17:38:35.000Z

2022-03-21T02:05:19.000Z

#!/usr/bin/env python # Copyright (C) 2015-2021 Swift Navigation Inc. # Contact: https://support.swiftnav.com # # This source is subject to the license found in the file 'LICENSE' which must # be be distributed together with this source. All other rights reserved. # # THIS CODE AND INFORMATION IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND, # EITHER EXPRESSED OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE IMPLIED # WARRANTIES OF MERCHANTABILITY AND/OR FITNESS FOR A PARTICULAR PURPOSE. """ Linux state monitoring. """ import json import construct from sbp.msg import SBP, SENDER_ID from sbp.utils import fmt_repr, exclude_fields, walk_json_dict, containerize # Automatically generated from piksi/yaml/swiftnav/sbp/linux.yaml with generate.py. # Please do not hand edit! SBP_MSG_LINUX_CPU_STATE_DEP_A = 0x7F00 class MsgLinuxCpuStateDepA(SBP): """SBP class for message MSG_LINUX_CPU_STATE_DEP_A (0x7F00). You can have MSG_LINUX_CPU_STATE_DEP_A inherit its fields directly from an inherited SBP object, or construct it inline using a dict of its fields. This message indicates the process state of the top 10 heaviest consumers of CPU on the system. Parameters ---------- sbp : SBP SBP parent object to inherit from. index : int sequence of this status message, values from 0-9 pid : int the PID of the process pcpu : int percent of cpu used, expressed as a fraction of 256 tname : string fixed length string representing the thread name cmdline : string the command line (as much as it fits in the remaining packet) sender : int Optional sender ID, defaults to SENDER_ID (see sbp/msg.py). """ _parser = construct.Struct( 'index' / construct.Int8ul, 'pid' / construct.Int16ul, 'pcpu' / construct.Int8ul, 'tname'/ construct.Bytes(15), 'cmdline' / construct.GreedyBytes,) __slots__ = [ 'index', 'pid', 'pcpu', 'tname', 'cmdline', ] def __init__(self, sbp=None, **kwargs): if sbp: super( MsgLinuxCpuStateDepA, self).__init__(sbp.msg_type, sbp.sender, sbp.length, sbp.payload, sbp.crc) self.from_binary(sbp.payload) else: super( MsgLinuxCpuStateDepA, self).__init__() self.msg_type = SBP_MSG_LINUX_CPU_STATE_DEP_A self.sender = kwargs.pop('sender', SENDER_ID) self.index = kwargs.pop('index') self.pid = kwargs.pop('pid') self.pcpu = kwargs.pop('pcpu') self.tname = kwargs.pop('tname') self.cmdline = kwargs.pop('cmdline') def __repr__(self): return fmt_repr(self) @staticmethod def from_json(s): """Given a JSON-encoded string s, build a message object. """ d = json.loads(s) return MsgLinuxCpuStateDepA.from_json_dict(d) @staticmethod def from_json_dict(d): sbp = SBP.from_json_dict(d) return MsgLinuxCpuStateDepA(sbp, **d) def from_binary(self, d): """Given a binary payload d, update the appropriate payload fields of the message. """ p = MsgLinuxCpuStateDepA._parser.parse(d) for n in self.__class__.__slots__: setattr(self, n, getattr(p, n)) def to_binary(self): """Produce a framed/packed SBP message. """ c = containerize(exclude_fields(self)) self.payload = MsgLinuxCpuStateDepA._parser.build(c) return self.pack() def into_buffer(self, buf, offset): """Produce a framed/packed SBP message into the provided buffer and offset. """ self.payload = containerize(exclude_fields(self)) self.parser = MsgLinuxCpuStateDepA._parser self.stream_payload.reset(buf, offset) return self.pack_into(buf, offset, self._build_payload) def to_json_dict(self): self.to_binary() d = super( MsgLinuxCpuStateDepA, self).to_json_dict() j = walk_json_dict(exclude_fields(self)) d.update(j) return d SBP_MSG_LINUX_MEM_STATE_DEP_A = 0x7F01 class MsgLinuxMemStateDepA(SBP): """SBP class for message MSG_LINUX_MEM_STATE_DEP_A (0x7F01). You can have MSG_LINUX_MEM_STATE_DEP_A inherit its fields directly from an inherited SBP object, or construct it inline using a dict of its fields. This message indicates the process state of the top 10 heaviest consumers of memory on the system. Parameters ---------- sbp : SBP SBP parent object to inherit from. index : int sequence of this status message, values from 0-9 pid : int the PID of the process pmem : int percent of memory used, expressed as a fraction of 256 tname : string fixed length string representing the thread name cmdline : string the command line (as much as it fits in the remaining packet) sender : int Optional sender ID, defaults to SENDER_ID (see sbp/msg.py). """ _parser = construct.Struct( 'index' / construct.Int8ul, 'pid' / construct.Int16ul, 'pmem' / construct.Int8ul, 'tname'/ construct.Bytes(15), 'cmdline' / construct.GreedyBytes,) __slots__ = [ 'index', 'pid', 'pmem', 'tname', 'cmdline', ] def __init__(self, sbp=None, **kwargs): if sbp: super( MsgLinuxMemStateDepA, self).__init__(sbp.msg_type, sbp.sender, sbp.length, sbp.payload, sbp.crc) self.from_binary(sbp.payload) else: super( MsgLinuxMemStateDepA, self).__init__() self.msg_type = SBP_MSG_LINUX_MEM_STATE_DEP_A self.sender = kwargs.pop('sender', SENDER_ID) self.index = kwargs.pop('index') self.pid = kwargs.pop('pid') self.pmem = kwargs.pop('pmem') self.tname = kwargs.pop('tname') self.cmdline = kwargs.pop('cmdline') def __repr__(self): return fmt_repr(self) @staticmethod def from_json(s): """Given a JSON-encoded string s, build a message object. """ d = json.loads(s) return MsgLinuxMemStateDepA.from_json_dict(d) @staticmethod def from_json_dict(d): sbp = SBP.from_json_dict(d) return MsgLinuxMemStateDepA(sbp, **d) def from_binary(self, d): """Given a binary payload d, update the appropriate payload fields of the message. """ p = MsgLinuxMemStateDepA._parser.parse(d) for n in self.__class__.__slots__: setattr(self, n, getattr(p, n)) def to_binary(self): """Produce a framed/packed SBP message. """ c = containerize(exclude_fields(self)) self.payload = MsgLinuxMemStateDepA._parser.build(c) return self.pack() def into_buffer(self, buf, offset): """Produce a framed/packed SBP message into the provided buffer and offset. """ self.payload = containerize(exclude_fields(self)) self.parser = MsgLinuxMemStateDepA._parser self.stream_payload.reset(buf, offset) return self.pack_into(buf, offset, self._build_payload) def to_json_dict(self): self.to_binary() d = super( MsgLinuxMemStateDepA, self).to_json_dict() j = walk_json_dict(exclude_fields(self)) d.update(j) return d SBP_MSG_LINUX_SYS_STATE_DEP_A = 0x7F02 class MsgLinuxSysStateDepA(SBP): """SBP class for message MSG_LINUX_SYS_STATE_DEP_A (0x7F02). You can have MSG_LINUX_SYS_STATE_DEP_A inherit its fields directly from an inherited SBP object, or construct it inline using a dict of its fields. This presents a summary of CPU and memory utilization. Parameters ---------- sbp : SBP SBP parent object to inherit from. mem_total : int total system memory pcpu : int percent of total cpu currently utilized pmem : int percent of total memory currently utilized procs_starting : int number of processes that started during collection phase procs_stopping : int number of processes that stopped during collection phase pid_count : int the count of processes on the system sender : int Optional sender ID, defaults to SENDER_ID (see sbp/msg.py). """ _parser = construct.Struct( 'mem_total' / construct.Int16ul, 'pcpu' / construct.Int8ul, 'pmem' / construct.Int8ul, 'procs_starting' / construct.Int16ul, 'procs_stopping' / construct.Int16ul, 'pid_count' / construct.Int16ul,) __slots__ = [ 'mem_total', 'pcpu', 'pmem', 'procs_starting', 'procs_stopping', 'pid_count', ] def __init__(self, sbp=None, **kwargs): if sbp: super( MsgLinuxSysStateDepA, self).__init__(sbp.msg_type, sbp.sender, sbp.length, sbp.payload, sbp.crc) self.from_binary(sbp.payload) else: super( MsgLinuxSysStateDepA, self).__init__() self.msg_type = SBP_MSG_LINUX_SYS_STATE_DEP_A self.sender = kwargs.pop('sender', SENDER_ID) self.mem_total = kwargs.pop('mem_total') self.pcpu = kwargs.pop('pcpu') self.pmem = kwargs.pop('pmem') self.procs_starting = kwargs.pop('procs_starting') self.procs_stopping = kwargs.pop('procs_stopping') self.pid_count = kwargs.pop('pid_count') def __repr__(self): return fmt_repr(self) @staticmethod def from_json(s): """Given a JSON-encoded string s, build a message object. """ d = json.loads(s) return MsgLinuxSysStateDepA.from_json_dict(d) @staticmethod def from_json_dict(d): sbp = SBP.from_json_dict(d) return MsgLinuxSysStateDepA(sbp, **d) def from_binary(self, d): """Given a binary payload d, update the appropriate payload fields of the message. """ p = MsgLinuxSysStateDepA._parser.parse(d) for n in self.__class__.__slots__: setattr(self, n, getattr(p, n)) def to_binary(self): """Produce a framed/packed SBP message. """ c = containerize(exclude_fields(self)) self.payload = MsgLinuxSysStateDepA._parser.build(c) return self.pack() def into_buffer(self, buf, offset): """Produce a framed/packed SBP message into the provided buffer and offset. """ self.payload = containerize(exclude_fields(self)) self.parser = MsgLinuxSysStateDepA._parser self.stream_payload.reset(buf, offset) return self.pack_into(buf, offset, self._build_payload) def to_json_dict(self): self.to_binary() d = super( MsgLinuxSysStateDepA, self).to_json_dict() j = walk_json_dict(exclude_fields(self)) d.update(j) return d SBP_MSG_LINUX_PROCESS_SOCKET_COUNTS = 0x7F03 class MsgLinuxProcessSocketCounts(SBP): """SBP class for message MSG_LINUX_PROCESS_SOCKET_COUNTS (0x7F03). You can have MSG_LINUX_PROCESS_SOCKET_COUNTS inherit its fields directly from an inherited SBP object, or construct it inline using a dict of its fields. Top 10 list of processes with high socket counts. Parameters ---------- sbp : SBP SBP parent object to inherit from. index : int sequence of this status message, values from 0-9 pid : int the PID of the process in question socket_count : int the number of sockets the process is using socket_types : int A bitfield indicating the socket types used: 0x1 (tcp), 0x2 (udp), 0x4 (unix stream), 0x8 (unix dgram), 0x10 (netlink), and 0x8000 (unknown) socket_states : int A bitfield indicating the socket states: 0x1 (established), 0x2 (syn- sent), 0x4 (syn-recv), 0x8 (fin-wait-1), 0x10 (fin-wait-2), 0x20 (time- wait), 0x40 (closed), 0x80 (close-wait), 0x100 (last-ack), 0x200 (listen), 0x400 (closing), 0x800 (unconnected), and 0x8000 (unknown) cmdline : string the command line of the process in question sender : int Optional sender ID, defaults to SENDER_ID (see sbp/msg.py). """ _parser = construct.Struct( 'index' / construct.Int8ul, 'pid' / construct.Int16ul, 'socket_count' / construct.Int16ul, 'socket_types' / construct.Int16ul, 'socket_states' / construct.Int16ul, 'cmdline' / construct.GreedyBytes,) __slots__ = [ 'index', 'pid', 'socket_count', 'socket_types', 'socket_states', 'cmdline', ] def __init__(self, sbp=None, **kwargs): if sbp: super( MsgLinuxProcessSocketCounts, self).__init__(sbp.msg_type, sbp.sender, sbp.length, sbp.payload, sbp.crc) self.from_binary(sbp.payload) else: super( MsgLinuxProcessSocketCounts, self).__init__() self.msg_type = SBP_MSG_LINUX_PROCESS_SOCKET_COUNTS self.sender = kwargs.pop('sender', SENDER_ID) self.index = kwargs.pop('index') self.pid = kwargs.pop('pid') self.socket_count = kwargs.pop('socket_count') self.socket_types = kwargs.pop('socket_types') self.socket_states = kwargs.pop('socket_states') self.cmdline = kwargs.pop('cmdline') def __repr__(self): return fmt_repr(self) @staticmethod def from_json(s): """Given a JSON-encoded string s, build a message object. """ d = json.loads(s) return MsgLinuxProcessSocketCounts.from_json_dict(d) @staticmethod def from_json_dict(d): sbp = SBP.from_json_dict(d) return MsgLinuxProcessSocketCounts(sbp, **d) def from_binary(self, d): """Given a binary payload d, update the appropriate payload fields of the message. """ p = MsgLinuxProcessSocketCounts._parser.parse(d) for n in self.__class__.__slots__: setattr(self, n, getattr(p, n)) def to_binary(self): """Produce a framed/packed SBP message. """ c = containerize(exclude_fields(self)) self.payload = MsgLinuxProcessSocketCounts._parser.build(c) return self.pack() def into_buffer(self, buf, offset): """Produce a framed/packed SBP message into the provided buffer and offset. """ self.payload = containerize(exclude_fields(self)) self.parser = MsgLinuxProcessSocketCounts._parser self.stream_payload.reset(buf, offset) return self.pack_into(buf, offset, self._build_payload) def to_json_dict(self): self.to_binary() d = super( MsgLinuxProcessSocketCounts, self).to_json_dict() j = walk_json_dict(exclude_fields(self)) d.update(j) return d SBP_MSG_LINUX_PROCESS_SOCKET_QUEUES = 0x7F04 class MsgLinuxProcessSocketQueues(SBP): """SBP class for message MSG_LINUX_PROCESS_SOCKET_QUEUES (0x7F04). You can have MSG_LINUX_PROCESS_SOCKET_QUEUES inherit its fields directly from an inherited SBP object, or construct it inline using a dict of its fields. Top 10 list of sockets with deep queues. Parameters ---------- sbp : SBP SBP parent object to inherit from. index : int sequence of this status message, values from 0-9 pid : int the PID of the process in question recv_queued : int the total amount of receive data queued for this process send_queued : int the total amount of send data queued for this process socket_types : int A bitfield indicating the socket types used: 0x1 (tcp), 0x2 (udp), 0x4 (unix stream), 0x8 (unix dgram), 0x10 (netlink), and 0x8000 (unknown) socket_states : int A bitfield indicating the socket states: 0x1 (established), 0x2 (syn- sent), 0x4 (syn-recv), 0x8 (fin-wait-1), 0x10 (fin-wait-2), 0x20 (time- wait), 0x40 (closed), 0x80 (close-wait), 0x100 (last-ack), 0x200 (listen), 0x400 (closing), 0x800 (unconnected), and 0x8000 (unknown) address_of_largest : string Address of the largest queue, remote or local depending on the directionality of the connection. cmdline : string the command line of the process in question sender : int Optional sender ID, defaults to SENDER_ID (see sbp/msg.py). """ _parser = construct.Struct( 'index' / construct.Int8ul, 'pid' / construct.Int16ul, 'recv_queued' / construct.Int16ul, 'send_queued' / construct.Int16ul, 'socket_types' / construct.Int16ul, 'socket_states' / construct.Int16ul, 'address_of_largest'/ construct.Bytes(64), 'cmdline' / construct.GreedyBytes,) __slots__ = [ 'index', 'pid', 'recv_queued', 'send_queued', 'socket_types', 'socket_states', 'address_of_largest', 'cmdline', ] def __init__(self, sbp=None, **kwargs): if sbp: super( MsgLinuxProcessSocketQueues, self).__init__(sbp.msg_type, sbp.sender, sbp.length, sbp.payload, sbp.crc) self.from_binary(sbp.payload) else: super( MsgLinuxProcessSocketQueues, self).__init__() self.msg_type = SBP_MSG_LINUX_PROCESS_SOCKET_QUEUES self.sender = kwargs.pop('sender', SENDER_ID) self.index = kwargs.pop('index') self.pid = kwargs.pop('pid') self.recv_queued = kwargs.pop('recv_queued') self.send_queued = kwargs.pop('send_queued') self.socket_types = kwargs.pop('socket_types') self.socket_states = kwargs.pop('socket_states') self.address_of_largest = kwargs.pop('address_of_largest') self.cmdline = kwargs.pop('cmdline') def __repr__(self): return fmt_repr(self) @staticmethod def from_json(s): """Given a JSON-encoded string s, build a message object. """ d = json.loads(s) return MsgLinuxProcessSocketQueues.from_json_dict(d) @staticmethod def from_json_dict(d): sbp = SBP.from_json_dict(d) return MsgLinuxProcessSocketQueues(sbp, **d) def from_binary(self, d): """Given a binary payload d, update the appropriate payload fields of the message. """ p = MsgLinuxProcessSocketQueues._parser.parse(d) for n in self.__class__.__slots__: setattr(self, n, getattr(p, n)) def to_binary(self): """Produce a framed/packed SBP message. """ c = containerize(exclude_fields(self)) self.payload = MsgLinuxProcessSocketQueues._parser.build(c) return self.pack() def into_buffer(self, buf, offset): """Produce a framed/packed SBP message into the provided buffer and offset. """ self.payload = containerize(exclude_fields(self)) self.parser = MsgLinuxProcessSocketQueues._parser self.stream_payload.reset(buf, offset) return self.pack_into(buf, offset, self._build_payload) def to_json_dict(self): self.to_binary() d = super( MsgLinuxProcessSocketQueues, self).to_json_dict() j = walk_json_dict(exclude_fields(self)) d.update(j) return d SBP_MSG_LINUX_SOCKET_USAGE = 0x7F05 class MsgLinuxSocketUsage(SBP): """SBP class for message MSG_LINUX_SOCKET_USAGE (0x7F05). You can have MSG_LINUX_SOCKET_USAGE inherit its fields directly from an inherited SBP object, or construct it inline using a dict of its fields. Summaries the socket usage across the system. Parameters ---------- sbp : SBP SBP parent object to inherit from. avg_queue_depth : int average socket queue depths across all sockets on the system max_queue_depth : int the max queue depth seen within the reporting period socket_state_counts : array A count for each socket type reported in the `socket_types_reported` field, the first entry corresponds to the first enabled bit in `types_reported`. socket_type_counts : array A count for each socket type reported in the `socket_types_reported` field, the first entry corresponds to the first enabled bit in `types_reported`. sender : int Optional sender ID, defaults to SENDER_ID (see sbp/msg.py). """ _parser = construct.Struct( 'avg_queue_depth' / construct.Int32ul, 'max_queue_depth' / construct.Int32ul, 'socket_state_counts' / construct.Array(16, construct.Int16ul), 'socket_type_counts' / construct.Array(16, construct.Int16ul),) __slots__ = [ 'avg_queue_depth', 'max_queue_depth', 'socket_state_counts', 'socket_type_counts', ] def __init__(self, sbp=None, **kwargs): if sbp: super( MsgLinuxSocketUsage, self).__init__(sbp.msg_type, sbp.sender, sbp.length, sbp.payload, sbp.crc) self.from_binary(sbp.payload) else: super( MsgLinuxSocketUsage, self).__init__() self.msg_type = SBP_MSG_LINUX_SOCKET_USAGE self.sender = kwargs.pop('sender', SENDER_ID) self.avg_queue_depth = kwargs.pop('avg_queue_depth') self.max_queue_depth = kwargs.pop('max_queue_depth') self.socket_state_counts = kwargs.pop('socket_state_counts') self.socket_type_counts = kwargs.pop('socket_type_counts') def __repr__(self): return fmt_repr(self) @staticmethod def from_json(s): """Given a JSON-encoded string s, build a message object. """ d = json.loads(s) return MsgLinuxSocketUsage.from_json_dict(d) @staticmethod def from_json_dict(d): sbp = SBP.from_json_dict(d) return MsgLinuxSocketUsage(sbp, **d) def from_binary(self, d): """Given a binary payload d, update the appropriate payload fields of the message. """ p = MsgLinuxSocketUsage._parser.parse(d) for n in self.__class__.__slots__: setattr(self, n, getattr(p, n)) def to_binary(self): """Produce a framed/packed SBP message. """ c = containerize(exclude_fields(self)) self.payload = MsgLinuxSocketUsage._parser.build(c) return self.pack() def into_buffer(self, buf, offset): """Produce a framed/packed SBP message into the provided buffer and offset. """ self.payload = containerize(exclude_fields(self)) self.parser = MsgLinuxSocketUsage._parser self.stream_payload.reset(buf, offset) return self.pack_into(buf, offset, self._build_payload) def to_json_dict(self): self.to_binary() d = super( MsgLinuxSocketUsage, self).to_json_dict() j = walk_json_dict(exclude_fields(self)) d.update(j) return d SBP_MSG_LINUX_PROCESS_FD_COUNT = 0x7F06 class MsgLinuxProcessFdCount(SBP): """SBP class for message MSG_LINUX_PROCESS_FD_COUNT (0x7F06). You can have MSG_LINUX_PROCESS_FD_COUNT inherit its fields directly from an inherited SBP object, or construct it inline using a dict of its fields. Top 10 list of processes with a large number of open file descriptors. Parameters ---------- sbp : SBP SBP parent object to inherit from. index : int sequence of this status message, values from 0-9 pid : int the PID of the process in question fd_count : int a count of the number of file descriptors opened by the process cmdline : string the command line of the process in question sender : int Optional sender ID, defaults to SENDER_ID (see sbp/msg.py). """ _parser = construct.Struct( 'index' / construct.Int8ul, 'pid' / construct.Int16ul, 'fd_count' / construct.Int16ul, 'cmdline' / construct.GreedyBytes,) __slots__ = [ 'index', 'pid', 'fd_count', 'cmdline', ] def __init__(self, sbp=None, **kwargs): if sbp: super( MsgLinuxProcessFdCount, self).__init__(sbp.msg_type, sbp.sender, sbp.length, sbp.payload, sbp.crc) self.from_binary(sbp.payload) else: super( MsgLinuxProcessFdCount, self).__init__() self.msg_type = SBP_MSG_LINUX_PROCESS_FD_COUNT self.sender = kwargs.pop('sender', SENDER_ID) self.index = kwargs.pop('index') self.pid = kwargs.pop('pid') self.fd_count = kwargs.pop('fd_count') self.cmdline = kwargs.pop('cmdline') def __repr__(self): return fmt_repr(self) @staticmethod def from_json(s): """Given a JSON-encoded string s, build a message object. """ d = json.loads(s) return MsgLinuxProcessFdCount.from_json_dict(d) @staticmethod def from_json_dict(d): sbp = SBP.from_json_dict(d) return MsgLinuxProcessFdCount(sbp, **d) def from_binary(self, d): """Given a binary payload d, update the appropriate payload fields of the message. """ p = MsgLinuxProcessFdCount._parser.parse(d) for n in self.__class__.__slots__: setattr(self, n, getattr(p, n)) def to_binary(self): """Produce a framed/packed SBP message. """ c = containerize(exclude_fields(self)) self.payload = MsgLinuxProcessFdCount._parser.build(c) return self.pack() def into_buffer(self, buf, offset): """Produce a framed/packed SBP message into the provided buffer and offset. """ self.payload = containerize(exclude_fields(self)) self.parser = MsgLinuxProcessFdCount._parser self.stream_payload.reset(buf, offset) return self.pack_into(buf, offset, self._build_payload) def to_json_dict(self): self.to_binary() d = super( MsgLinuxProcessFdCount, self).to_json_dict() j = walk_json_dict(exclude_fields(self)) d.update(j) return d SBP_MSG_LINUX_PROCESS_FD_SUMMARY = 0x7F07 class MsgLinuxProcessFdSummary(SBP): r"""SBP class for message MSG_LINUX_PROCESS_FD_SUMMARY (0x7F07). You can have MSG_LINUX_PROCESS_FD_SUMMARY inherit its fields directly from an inherited SBP object, or construct it inline using a dict of its fields. Summary of open file descriptors on the system. Parameters ---------- sbp : SBP SBP parent object to inherit from. sys_fd_count : int count of total FDs open on the system most_opened : string A null delimited list of strings which alternates between a string representation of the process count and the file name whose count it being reported. That is, in C string syntax "32\0/var/log/syslog\012\0/tmp/foo\0" with the end of the list being 2 NULL terminators in a row. sender : int Optional sender ID, defaults to SENDER_ID (see sbp/msg.py). """ _parser = construct.Struct( 'sys_fd_count' / construct.Int32ul, 'most_opened' / construct.GreedyBytes,) __slots__ = [ 'sys_fd_count', 'most_opened', ] def __init__(self, sbp=None, **kwargs): if sbp: super( MsgLinuxProcessFdSummary, self).__init__(sbp.msg_type, sbp.sender, sbp.length, sbp.payload, sbp.crc) self.from_binary(sbp.payload) else: super( MsgLinuxProcessFdSummary, self).__init__() self.msg_type = SBP_MSG_LINUX_PROCESS_FD_SUMMARY self.sender = kwargs.pop('sender', SENDER_ID) self.sys_fd_count = kwargs.pop('sys_fd_count') self.most_opened = kwargs.pop('most_opened') def __repr__(self): return fmt_repr(self) @staticmethod def from_json(s): """Given a JSON-encoded string s, build a message object. """ d = json.loads(s) return MsgLinuxProcessFdSummary.from_json_dict(d) @staticmethod def from_json_dict(d): sbp = SBP.from_json_dict(d) return MsgLinuxProcessFdSummary(sbp, **d) def from_binary(self, d): """Given a binary payload d, update the appropriate payload fields of the message. """ p = MsgLinuxProcessFdSummary._parser.parse(d) for n in self.__class__.__slots__: setattr(self, n, getattr(p, n)) def to_binary(self): """Produce a framed/packed SBP message. """ c = containerize(exclude_fields(self)) self.payload = MsgLinuxProcessFdSummary._parser.build(c) return self.pack() def into_buffer(self, buf, offset): """Produce a framed/packed SBP message into the provided buffer and offset. """ self.payload = containerize(exclude_fields(self)) self.parser = MsgLinuxProcessFdSummary._parser self.stream_payload.reset(buf, offset) return self.pack_into(buf, offset, self._build_payload) def to_json_dict(self): self.to_binary() d = super( MsgLinuxProcessFdSummary, self).to_json_dict() j = walk_json_dict(exclude_fields(self)) d.update(j) return d SBP_MSG_LINUX_CPU_STATE = 0x7F08 class MsgLinuxCpuState(SBP): """SBP class for message MSG_LINUX_CPU_STATE (0x7F08). You can have MSG_LINUX_CPU_STATE inherit its fields directly from an inherited SBP object, or construct it inline using a dict of its fields. This message indicates the process state of the top 10 heaviest consumers of CPU on the system, including a timestamp. Parameters ---------- sbp : SBP SBP parent object to inherit from. index : int sequence of this status message, values from 0-9 pid : int the PID of the process pcpu : int percent of CPU used, expressed as a fraction of 256 time : int timestamp of message, refer to flags field for how to interpret flags : int flags tname : string fixed length string representing the thread name cmdline : string the command line (as much as it fits in the remaining packet) sender : int Optional sender ID, defaults to SENDER_ID (see sbp/msg.py). """ _parser = construct.Struct( 'index' / construct.Int8ul, 'pid' / construct.Int16ul, 'pcpu' / construct.Int8ul, 'time' / construct.Int32ul, 'flags' / construct.Int8ul, 'tname'/ construct.Bytes(15), 'cmdline' / construct.GreedyBytes,) __slots__ = [ 'index', 'pid', 'pcpu', 'time', 'flags', 'tname', 'cmdline', ] def __init__(self, sbp=None, **kwargs): if sbp: super( MsgLinuxCpuState, self).__init__(sbp.msg_type, sbp.sender, sbp.length, sbp.payload, sbp.crc) self.from_binary(sbp.payload) else: super( MsgLinuxCpuState, self).__init__() self.msg_type = SBP_MSG_LINUX_CPU_STATE self.sender = kwargs.pop('sender', SENDER_ID) self.index = kwargs.pop('index') self.pid = kwargs.pop('pid') self.pcpu = kwargs.pop('pcpu') self.time = kwargs.pop('time') self.flags = kwargs.pop('flags') self.tname = kwargs.pop('tname') self.cmdline = kwargs.pop('cmdline') def __repr__(self): return fmt_repr(self) @staticmethod def from_json(s): """Given a JSON-encoded string s, build a message object. """ d = json.loads(s) return MsgLinuxCpuState.from_json_dict(d) @staticmethod def from_json_dict(d): sbp = SBP.from_json_dict(d) return MsgLinuxCpuState(sbp, **d) def from_binary(self, d): """Given a binary payload d, update the appropriate payload fields of the message. """ p = MsgLinuxCpuState._parser.parse(d) for n in self.__class__.__slots__: setattr(self, n, getattr(p, n)) def to_binary(self): """Produce a framed/packed SBP message. """ c = containerize(exclude_fields(self)) self.payload = MsgLinuxCpuState._parser.build(c) return self.pack() def into_buffer(self, buf, offset): """Produce a framed/packed SBP message into the provided buffer and offset. """ self.payload = containerize(exclude_fields(self)) self.parser = MsgLinuxCpuState._parser self.stream_payload.reset(buf, offset) return self.pack_into(buf, offset, self._build_payload) def to_json_dict(self): self.to_binary() d = super( MsgLinuxCpuState, self).to_json_dict() j = walk_json_dict(exclude_fields(self)) d.update(j) return d SBP_MSG_LINUX_MEM_STATE = 0x7F09 class MsgLinuxMemState(SBP): """SBP class for message MSG_LINUX_MEM_STATE (0x7F09). You can have MSG_LINUX_MEM_STATE inherit its fields directly from an inherited SBP object, or construct it inline using a dict of its fields. This message indicates the process state of the top 10 heaviest consumers of memory on the system, including a timestamp. Parameters ---------- sbp : SBP SBP parent object to inherit from. index : int sequence of this status message, values from 0-9 pid : int the PID of the process pmem : int percent of memory used, expressed as a fraction of 256 time : int timestamp of message, refer to flags field for how to interpret flags : int flags tname : string fixed length string representing the thread name cmdline : string the command line (as much as it fits in the remaining packet) sender : int Optional sender ID, defaults to SENDER_ID (see sbp/msg.py). """ _parser = construct.Struct( 'index' / construct.Int8ul, 'pid' / construct.Int16ul, 'pmem' / construct.Int8ul, 'time' / construct.Int32ul, 'flags' / construct.Int8ul, 'tname'/ construct.Bytes(15), 'cmdline' / construct.GreedyBytes,) __slots__ = [ 'index', 'pid', 'pmem', 'time', 'flags', 'tname', 'cmdline', ] def __init__(self, sbp=None, **kwargs): if sbp: super( MsgLinuxMemState, self).__init__(sbp.msg_type, sbp.sender, sbp.length, sbp.payload, sbp.crc) self.from_binary(sbp.payload) else: super( MsgLinuxMemState, self).__init__() self.msg_type = SBP_MSG_LINUX_MEM_STATE self.sender = kwargs.pop('sender', SENDER_ID) self.index = kwargs.pop('index') self.pid = kwargs.pop('pid') self.pmem = kwargs.pop('pmem') self.time = kwargs.pop('time') self.flags = kwargs.pop('flags') self.tname = kwargs.pop('tname') self.cmdline = kwargs.pop('cmdline') def __repr__(self): return fmt_repr(self) @staticmethod def from_json(s): """Given a JSON-encoded string s, build a message object. """ d = json.loads(s) return MsgLinuxMemState.from_json_dict(d) @staticmethod def from_json_dict(d): sbp = SBP.from_json_dict(d) return MsgLinuxMemState(sbp, **d) def from_binary(self, d): """Given a binary payload d, update the appropriate payload fields of the message. """ p = MsgLinuxMemState._parser.parse(d) for n in self.__class__.__slots__: setattr(self, n, getattr(p, n)) def to_binary(self): """Produce a framed/packed SBP message. """ c = containerize(exclude_fields(self)) self.payload = MsgLinuxMemState._parser.build(c) return self.pack() def into_buffer(self, buf, offset): """Produce a framed/packed SBP message into the provided buffer and offset. """ self.payload = containerize(exclude_fields(self)) self.parser = MsgLinuxMemState._parser self.stream_payload.reset(buf, offset) return self.pack_into(buf, offset, self._build_payload) def to_json_dict(self): self.to_binary() d = super( MsgLinuxMemState, self).to_json_dict() j = walk_json_dict(exclude_fields(self)) d.update(j) return d SBP_MSG_LINUX_SYS_STATE = 0x7F0A class MsgLinuxSysState(SBP): """SBP class for message MSG_LINUX_SYS_STATE (0x7F0A). You can have MSG_LINUX_SYS_STATE inherit its fields directly from an inherited SBP object, or construct it inline using a dict of its fields. This presents a summary of CPU and memory utilization, including a timestamp. Parameters ---------- sbp : SBP SBP parent object to inherit from. mem_total : int total system memory, in MiB pcpu : int percent of CPU used, expressed as a fraction of 256 pmem : int percent of memory used, expressed as a fraction of 256 procs_starting : int number of processes that started during collection phase procs_stopping : int number of processes that stopped during collection phase pid_count : int the count of processes on the system time : int timestamp of message, refer to flags field for how to interpret flags : int flags sender : int Optional sender ID, defaults to SENDER_ID (see sbp/msg.py). """ _parser = construct.Struct( 'mem_total' / construct.Int16ul, 'pcpu' / construct.Int8ul, 'pmem' / construct.Int8ul, 'procs_starting' / construct.Int16ul, 'procs_stopping' / construct.Int16ul, 'pid_count' / construct.Int16ul, 'time' / construct.Int32ul, 'flags' / construct.Int8ul,) __slots__ = [ 'mem_total', 'pcpu', 'pmem', 'procs_starting', 'procs_stopping', 'pid_count', 'time', 'flags', ] def __init__(self, sbp=None, **kwargs): if sbp: super( MsgLinuxSysState, self).__init__(sbp.msg_type, sbp.sender, sbp.length, sbp.payload, sbp.crc) self.from_binary(sbp.payload) else: super( MsgLinuxSysState, self).__init__() self.msg_type = SBP_MSG_LINUX_SYS_STATE self.sender = kwargs.pop('sender', SENDER_ID) self.mem_total = kwargs.pop('mem_total') self.pcpu = kwargs.pop('pcpu') self.pmem = kwargs.pop('pmem') self.procs_starting = kwargs.pop('procs_starting') self.procs_stopping = kwargs.pop('procs_stopping') self.pid_count = kwargs.pop('pid_count') self.time = kwargs.pop('time') self.flags = kwargs.pop('flags') def __repr__(self): return fmt_repr(self) @staticmethod def from_json(s): """Given a JSON-encoded string s, build a message object. """ d = json.loads(s) return MsgLinuxSysState.from_json_dict(d) @staticmethod def from_json_dict(d): sbp = SBP.from_json_dict(d) return MsgLinuxSysState(sbp, **d) def from_binary(self, d): """Given a binary payload d, update the appropriate payload fields of the message. """ p = MsgLinuxSysState._parser.parse(d) for n in self.__class__.__slots__: setattr(self, n, getattr(p, n)) def to_binary(self): """Produce a framed/packed SBP message. """ c = containerize(exclude_fields(self)) self.payload = MsgLinuxSysState._parser.build(c) return self.pack() def into_buffer(self, buf, offset): """Produce a framed/packed SBP message into the provided buffer and offset. """ self.payload = containerize(exclude_fields(self)) self.parser = MsgLinuxSysState._parser self.stream_payload.reset(buf, offset) return self.pack_into(buf, offset, self._build_payload) def to_json_dict(self): self.to_binary() d = super( MsgLinuxSysState, self).to_json_dict() j = walk_json_dict(exclude_fields(self)) d.update(j) return d msg_classes = { 0x7F00: MsgLinuxCpuStateDepA, 0x7F01: MsgLinuxMemStateDepA, 0x7F02: MsgLinuxSysStateDepA, 0x7F03: MsgLinuxProcessSocketCounts, 0x7F04: MsgLinuxProcessSocketQueues, 0x7F05: MsgLinuxSocketUsage, 0x7F06: MsgLinuxProcessFdCount, 0x7F07: MsgLinuxProcessFdSummary, 0x7F08: MsgLinuxCpuState, 0x7F09: MsgLinuxMemState, 0x7F0A: MsgLinuxSysState, }

30.620663

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0.653229

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39,715

4.897759

0.069996

0.026375

0.015897

0.017222

0.811481

0.804295

0.791208

0.777158

0.766198

0.748454

0

0.01357

0.250384

39,715

1,297

84

30.620663

0.82315

0.334231

0

0.729651

0

0.05868

0

0.005185

0

1

0.127907

false

0

0.005814

0.015988

0.277616

0

null

0

1

0

1

0

null

0

7

b89529cbe5faa624ee8598783e6fd793786469b4

819

py

Python

tests/parser/bug.18.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/bug.18.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

tests/parser/bug.18.test.py

veltri/DLV2

944aaef803aa75e7ec51d7e0c2b0d964687fdd0e

[ "Apache-2.0" ]

null

input = """ bad :- r1, r2. bad :- g1, g2. bad :- b1, b2. bad :- r2, r3. bad :- g2, g3. bad :- b2, b3. bad :- r3, r1. bad :- g3, g1. bad :- b3, b1. r1 :- not g1, not b1. g1 :- not b1, not r1. b1 :- not r1, not g1. r2 :- not g2, not b2. g2 :- not b2, not r2. b2 :- not r2, not g2. r3 :- not g3, not b3. g3 :- not b3, not r3. b3 :- not r3, not g3. a :- bad, not a. true. r1 :- true. """ output = """ bad :- r1, r2. bad :- g1, g2. bad :- b1, b2. bad :- r2, r3. bad :- g2, g3. bad :- b2, b3. bad :- r3, r1. bad :- g3, g1. bad :- b3, b1. r1 :- not g1, not b1. g1 :- not b1, not r1. b1 :- not r1, not g1. r2 :- not g2, not b2. g2 :- not b2, not r2. b2 :- not r2, not g2. r3 :- not g3, not b3. g3 :- not b3, not r3. b3 :- not r3, not g3. a :- bad, not a. true. r1 :- true. """

16.058824

22

0.474969

160

819

2.43125

0.09375

0.051414

0.071979

0.051414

0.971722

0

0.16341

0.312576

819

50

23

16.38

0.527531

0

0.956522

0

0.959897

0

1

0

false

0

null

0

1

0

1

0

1

0

null

0

8

b2486aa105c4a83cab57bb59c9abccf8057036be

23,370

py

Python

pyspedas/cluster/__init__.py

ergsc-devel/pyspedas

43d985cbcd23c54205453b06e08f8e51d29ab435

[ "MIT" ]

75

2019-02-22T12:59:33.000Z

2022-02-26T15:33:20.000Z

pyspedas/cluster/__init__.py

ergsc-devel/pyspedas

43d985cbcd23c54205453b06e08f8e51d29ab435

[ "MIT" ]

40

2019-07-02T07:46:34.000Z

2022-02-23T21:48:50.000Z

pyspedas/cluster/__init__.py

ergsc-devel/pyspedas

43d985cbcd23c54205453b06e08f8e51d29ab435

[ "MIT" ]

43

2019-02-22T13:03:41.000Z

2022-01-24T19:26:59.000Z

from .load import load def fgm(trange=['2018-11-5', '2018-11-6'], probe='1', datatype='up', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False): """ This function loads data from the Fluxgate Magnetometer Parameters: trange : list of str time range of interest [starttime, endtime] with the format 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] datatype: str Data type; Valid options: suffix: str The tplot variable names will be given this suffix. By default, no suffix is added. get_support_data: bool Data with an attribute "VAR_TYPE" with a value of "support_data" will be loaded into tplot. By default, only loads in data with a "VAR_TYPE" attribute of "data". varformat: str The file variable formats to load into tplot. Wildcard character "*" is accepted. By default, all variables are loaded in. varnames: list of str List of variable names to load (if not specified, all data variables are loaded) downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables notplot: bool Return the data in hash tables instead of creating tplot variables no_update: bool If set, only load data from your local cache time_clip: bool Time clip the variables to exactly the range specified in the trange keyword Returns: List of tplot variables created. """ return load(instrument='fgm', trange=trange, probe=probe, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, no_update=no_update, time_clip=time_clip) def aspoc(trange=['2018-11-5', '2018-11-6'], probe='1', datatype='pp', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False): """ This function loads data from the Active Spacecraft Potential Control experiment Parameters: trange : list of str time range of interest [starttime, endtime] with the format 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] datatype: str Data type; Valid options: suffix: str The tplot variable names will be given this suffix. By default, no suffix is added. get_support_data: bool Data with an attribute "VAR_TYPE" with a value of "support_data" will be loaded into tplot. By default, only loads in data with a "VAR_TYPE" attribute of "data". varformat: str The file variable formats to load into tplot. Wildcard character "*" is accepted. By default, all variables are loaded in. varnames: list of str List of variable names to load (if not specified, all data variables are loaded) downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables notplot: bool Return the data in hash tables instead of creating tplot variables no_update: bool If set, only load data from your local cache time_clip: bool Time clip the variables to exactly the range specified in the trange keyword Returns: List of tplot variables created. """ return load(instrument='aspoc', trange=trange, probe=probe, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, no_update=no_update, time_clip=time_clip) def cis(trange=['2018-11-5', '2018-11-6'], probe='1', datatype='pp', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False): """ This function loads data from the Cluster Ion Spectroscopy experiment Parameters: trange : list of str time range of interest [starttime, endtime] with the format 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] datatype: str Data type; Valid options: suffix: str The tplot variable names will be given this suffix. By default, no suffix is added. get_support_data: bool Data with an attribute "VAR_TYPE" with a value of "support_data" will be loaded into tplot. By default, only loads in data with a "VAR_TYPE" attribute of "data". varformat: str The file variable formats to load into tplot. Wildcard character "*" is accepted. By default, all variables are loaded in. varnames: list of str List of variable names to load (if not specified, all data variables are loaded) downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables notplot: bool Return the data in hash tables instead of creating tplot variables no_update: bool If set, only load data from your local cache time_clip: bool Time clip the variables to exactly the range specified in the trange keyword Returns: List of tplot variables created. """ return load(instrument='cis', trange=trange, probe=probe, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, no_update=no_update, time_clip=time_clip) def dwp(trange=['2018-11-5', '2018-11-6'], probe='1', datatype='pp', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False): """ This function loads data from the Digital Wave Processing instrument Parameters: trange : list of str time range of interest [starttime, endtime] with the format 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] datatype: str Data type; Valid options: suffix: str The tplot variable names will be given this suffix. By default, no suffix is added. get_support_data: bool Data with an attribute "VAR_TYPE" with a value of "support_data" will be loaded into tplot. By default, only loads in data with a "VAR_TYPE" attribute of "data". varformat: str The file variable formats to load into tplot. Wildcard character "*" is accepted. By default, all variables are loaded in. varnames: list of str List of variable names to load (if not specified, all data variables are loaded) downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables notplot: bool Return the data in hash tables instead of creating tplot variables no_update: bool If set, only load data from your local cache time_clip: bool Time clip the variables to exactly the range specified in the trange keyword Returns: List of tplot variables created. """ return load(instrument='dwp', trange=trange, probe=probe, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, no_update=no_update, time_clip=time_clip) def edi(trange=['2018-11-5', '2018-11-6'], probe='1', datatype='pp', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False): """ This function loads data from the Electron Drift Instrument Parameters: trange : list of str time range of interest [starttime, endtime] with the format 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] datatype: str Data type; Valid options: suffix: str The tplot variable names will be given this suffix. By default, no suffix is added. get_support_data: bool Data with an attribute "VAR_TYPE" with a value of "support_data" will be loaded into tplot. By default, only loads in data with a "VAR_TYPE" attribute of "data". varformat: str The file variable formats to load into tplot. Wildcard character "*" is accepted. By default, all variables are loaded in. varnames: list of str List of variable names to load (if not specified, all data variables are loaded) downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables notplot: bool Return the data in hash tables instead of creating tplot variables no_update: bool If set, only load data from your local cache time_clip: bool Time clip the variables to exactly the range specified in the trange keyword Returns: List of tplot variables created. """ return load(instrument='edi', trange=trange, probe=probe, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, no_update=no_update, time_clip=time_clip) def efw(trange=['2018-11-5', '2018-11-6'], probe='1', datatype='pp', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False): """ This function loads data from the Electric Field and Wave experiment Parameters: trange : list of str time range of interest [starttime, endtime] with the format 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] datatype: str Data type; Valid options: suffix: str The tplot variable names will be given this suffix. By default, no suffix is added. get_support_data: bool Data with an attribute "VAR_TYPE" with a value of "support_data" will be loaded into tplot. By default, only loads in data with a "VAR_TYPE" attribute of "data". varformat: str The file variable formats to load into tplot. Wildcard character "*" is accepted. By default, all variables are loaded in. varnames: list of str List of variable names to load (if not specified, all data variables are loaded) downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables notplot: bool Return the data in hash tables instead of creating tplot variables no_update: bool If set, only load data from your local cache time_clip: bool Time clip the variables to exactly the range specified in the trange keyword Returns: List of tplot variables created. """ return load(instrument='efw', trange=trange, probe=probe, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, no_update=no_update, time_clip=time_clip) def peace(trange=['2016-11-5', '2016-11-6'], probe='1', datatype='pp', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False): """ This function loads data from the Plasma Electron and Current Experiment Parameters: trange : list of str time range of interest [starttime, endtime] with the format 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] datatype: str Data type; Valid options: suffix: str The tplot variable names will be given this suffix. By default, no suffix is added. get_support_data: bool Data with an attribute "VAR_TYPE" with a value of "support_data" will be loaded into tplot. By default, only loads in data with a "VAR_TYPE" attribute of "data". varformat: str The file variable formats to load into tplot. Wildcard character "*" is accepted. By default, all variables are loaded in. varnames: list of str List of variable names to load (if not specified, all data variables are loaded) downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables notplot: bool Return the data in hash tables instead of creating tplot variables no_update: bool If set, only load data from your local cache time_clip: bool Time clip the variables to exactly the range specified in the trange keyword Returns: List of tplot variables created. """ return load(instrument='peace', trange=trange, probe=probe, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, no_update=no_update, time_clip=time_clip) def rapid(trange=['2016-11-5', '2016-11-6'], probe='1', datatype='pp', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False): """ This function loads data from the Research with Adaptive Particle Imaging Detectors Parameters: trange : list of str time range of interest [starttime, endtime] with the format 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] datatype: str Data type; Valid options: suffix: str The tplot variable names will be given this suffix. By default, no suffix is added. get_support_data: bool Data with an attribute "VAR_TYPE" with a value of "support_data" will be loaded into tplot. By default, only loads in data with a "VAR_TYPE" attribute of "data". varformat: str The file variable formats to load into tplot. Wildcard character "*" is accepted. By default, all variables are loaded in. varnames: list of str List of variable names to load (if not specified, all data variables are loaded) downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables notplot: bool Return the data in hash tables instead of creating tplot variables no_update: bool If set, only load data from your local cache time_clip: bool Time clip the variables to exactly the range specified in the trange keyword Returns: List of tplot variables created. """ return load(instrument='rapid', trange=trange, probe=probe, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, no_update=no_update, time_clip=time_clip) def staff(trange=['2012-11-5', '2012-11-6'], probe='1', datatype='pp', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False): """ This function loads data from the Spatio-Temporal Analysis of Field Fluctuation experiment Parameters: trange : list of str time range of interest [starttime, endtime] with the format 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] datatype: str Data type; Valid options: suffix: str The tplot variable names will be given this suffix. By default, no suffix is added. get_support_data: bool Data with an attribute "VAR_TYPE" with a value of "support_data" will be loaded into tplot. By default, only loads in data with a "VAR_TYPE" attribute of "data". varformat: str The file variable formats to load into tplot. Wildcard character "*" is accepted. By default, all variables are loaded in. varnames: list of str List of variable names to load (if not specified, all data variables are loaded) downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables notplot: bool Return the data in hash tables instead of creating tplot variables no_update: bool If set, only load data from your local cache time_clip: bool Time clip the variables to exactly the range specified in the trange keyword Returns: List of tplot variables created. """ return load(instrument='staff', trange=trange, probe=probe, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, no_update=no_update, time_clip=time_clip) def wbd(trange=['2012-11-6', '2012-11-7'], probe='1', datatype='waveform', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False): """ This function loads data from the Wide Band Data receiver Parameters: trange : list of str time range of interest [starttime, endtime] with the format 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] datatype: str Data type; Valid options: suffix: str The tplot variable names will be given this suffix. By default, no suffix is added. get_support_data: bool Data with an attribute "VAR_TYPE" with a value of "support_data" will be loaded into tplot. By default, only loads in data with a "VAR_TYPE" attribute of "data". varformat: str The file variable formats to load into tplot. Wildcard character "*" is accepted. By default, all variables are loaded in. varnames: list of str List of variable names to load (if not specified, all data variables are loaded) downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables notplot: bool Return the data in hash tables instead of creating tplot variables no_update: bool If set, only load data from your local cache time_clip: bool Time clip the variables to exactly the range specified in the trange keyword Returns: List of tplot variables created. """ return load(instrument='wbd', trange=trange, probe=probe, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, no_update=no_update, time_clip=time_clip) def whi(trange=['2012-11-5', '2012-11-6'], probe='1', datatype='pp', suffix='', get_support_data=False, varformat=None, varnames=[], downloadonly=False, notplot=False, no_update=False, time_clip=False): """ This function loads data from the Waves of High Frequency and Sounder for Probing of Density by Relaxation instrument Parameters: trange : list of str time range of interest [starttime, endtime] with the format 'YYYY-MM-DD','YYYY-MM-DD'] or to specify more or less than a day ['YYYY-MM-DD/hh:mm:ss','YYYY-MM-DD/hh:mm:ss'] datatype: str Data type; Valid options: suffix: str The tplot variable names will be given this suffix. By default, no suffix is added. get_support_data: bool Data with an attribute "VAR_TYPE" with a value of "support_data" will be loaded into tplot. By default, only loads in data with a "VAR_TYPE" attribute of "data". varformat: str The file variable formats to load into tplot. Wildcard character "*" is accepted. By default, all variables are loaded in. varnames: list of str List of variable names to load (if not specified, all data variables are loaded) downloadonly: bool Set this flag to download the CDF files, but not load them into tplot variables notplot: bool Return the data in hash tables instead of creating tplot variables no_update: bool If set, only load data from your local cache time_clip: bool Time clip the variables to exactly the range specified in the trange keyword Returns: List of tplot variables created. """ return load(instrument='whi', trange=trange, probe=probe, datatype=datatype, suffix=suffix, get_support_data=get_support_data, varformat=varformat, varnames=varnames, downloadonly=downloadonly, notplot=notplot, no_update=no_update, time_clip=time_clip)

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null

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1

0

1

0

null

0

7

b248918677f1089ae52e067a81f848e09d6e3bd2

11

py

Python

pj16.py

Ziggareto/project_euler_solns

e52066b9ffec97005bad0f26a3f0e08760d5c5cb

[ "MIT" ]

null

pj16.py

Ziggareto/project_euler_solns

e52066b9ffec97005bad0f26a3f0e08760d5c5cb

[ "MIT" ]

null

pj16.py

Ziggareto/project_euler_solns

e52066b9ffec97005bad0f26a3f0e08760d5c5cb

[ "MIT" ]

null

#pj17

2.75

6

0.363636

1

11

4

1

0

0.4

0.545455

11

3

7

3.666667

0.4

0.363636

0

null

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null

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null

0

null

1

null

true

0

null

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null

0

1

0

1

0

1

0

null

0

1

0

8

b273c52080a94e558551231cc66f856d9d6acf11

143

py

Python

src/data/__init__.py

simonsanvil/twitch-web-analytics

c44fab75ecb8173edc05fc7b5c436d1c2c8eaa51

[ "MIT" ]

2

2021-12-14T04:14:36.000Z

2021-12-23T21:36:02.000Z

src/data/__init__.py

simonsanvil/twitch-web-analytics

c44fab75ecb8173edc05fc7b5c436d1c2c8eaa51

[ "MIT" ]

null

src/data/__init__.py

simonsanvil/twitch-web-analytics

c44fab75ecb8173edc05fc7b5c436d1c2c8eaa51

[ "MIT" ]

2

2022-03-04T09:36:33.000Z

2022-03-04T12:42:05.000Z

from .make_dataset import make_data_from_root_user from .make_dataset import extract_follows_from_users_df, extract_num_followers_from_users_df

71.5

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b278559faa858983fb7c9b185053d8f80c83eb88

56,257

py

Python

scripts/gan/cycle_gan/model_base.py

hiroyasuakada/ros_start

10221ad2bcaefa4aaadc6c90424a3751126ac256

[ "MIT" ]

null

scripts/gan/cycle_gan/model_base.py

hiroyasuakada/ros_start

10221ad2bcaefa4aaadc6c90424a3751126ac256

[ "MIT" ]

null

scripts/gan/cycle_gan/model_base.py

hiroyasuakada/ros_start

10221ad2bcaefa4aaadc6c90424a3751126ac256

[ "MIT" ]

null

import os import random import itertools import numpy as np import torch import torch.nn as nn import torch.utils.data import torchvision.transforms as transforms from torchvision.utils import make_grid from torch.autograd import Variable from PIL import Image import matplotlib.pyplot as plt from tensorboardX import SummaryWriter import time import cv2 from torchsummary import summary from dataset import LSTMDataset class ResNetBlock(nn.Module): def __init__(self, dim): super(ResNetBlock, self).__init__() conv_block = [] conv_block += [nn.ReflectionPad2d(1), nn.Conv2d(dim, dim, kernel_size=3), nn.InstanceNorm2d(dim), nn.ReLU(True), nn.ReflectionPad2d(1), nn.Conv2d(dim, dim, kernel_size=3), nn.InstanceNorm2d(dim)] self.conv_block = nn.Sequential(*conv_block) def forward(self, x): out = x + self.conv_block(x) return out class Generator(nn.Module): def __init__(self): super(Generator, self).__init__() self.model = nn.Sequential( nn.ReflectionPad2d(3), nn.Conv2d(3, 64, kernel_size=7), nn.InstanceNorm2d(64), nn.ReLU(True), nn.Conv2d(64, 128, kernel_size=3, stride=2, padding=1), nn.InstanceNorm2d(128), nn.ReLU(True), nn.Conv2d(128, 256, kernel_size=3, stride=2, padding=1), nn.InstanceNorm2d(256), nn.ReLU(True), ResNetBlock(256), ResNetBlock(256), ResNetBlock(256), ResNetBlock(256), ResNetBlock(256), ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), nn.ConvTranspose2d(256, 128, kernel_size=3, stride=2, padding=1, output_padding=1), nn.InstanceNorm2d(128), nn.ReLU(True), nn.ConvTranspose2d(128, 64, kernel_size=3, stride=2, padding=1, output_padding=1), nn.InstanceNorm2d(64), nn.ReLU(True), nn.ReflectionPad2d(3), nn.Conv2d(64, 3, kernel_size=7, stride=1, padding=0), nn.Tanh() ) # initialize weights self.model.apply(self._init_weights) def forward(self, input_img): out = self.model(input_img) return out @staticmethod def _init_weights(m): classname = m.__class__.__name__ if classname.find('Conv') != -1: nn.init.normal(m.weight.data, 0.0, 0.02) class Discriminator(nn.Module): def __init__(self): super(Discriminator, self).__init__() self.model = nn.Sequential( nn.Conv2d(3, 64, kernel_size=4, stride=2, padding=1), nn.LeakyReLU(0.2, True), nn.Conv2d(64, 128, kernel_size=4, stride=2, padding=1), nn.InstanceNorm2d(128), nn.LeakyReLU(0.2, True), nn.Conv2d(128, 256, kernel_size=4, stride=2, padding=1), nn.InstanceNorm2d(256), nn.LeakyReLU(0.2, True), nn.Conv2d(256, 512, kernel_size=4, stride=1, padding=1), nn.InstanceNorm2d(512), nn.LeakyReLU(0.2, True), nn.Conv2d(512, 1, kernel_size=4, stride=1, padding=1) ) # initialize weights self.model.apply(self._init_weights) def forward(self, input_img): out = self.model(input_img) return out @staticmethod def _init_weights(m): classname = m.__class__.__name__ if classname.find('Conv') != -1: nn.init.normal(m.weight.data, 0.0, 0.02) # ===================================================================================================================== # class ConvLSTMCell(nn.Module): # def __init__(self, input_channels, hidden_channels, kernel_size): # super(ConvLSTMCell, self).__init__() # # assert hidden_channels % 2 == 0 # # self.input_channels = input_channels # self.hidden_channels = hidden_channels # self.kernel_size = kernel_size # self.num_features = 4 # # self.padding = int((kernel_size - 1) / 2) # # self.Wxi = nn.Conv2d(self.input_channels, self.hidden_channels, self.kernel_size, 1, self.padding, bias=True) # self.Whi = nn.Conv2d(self.hidden_channels, self.hidden_channels, self.kernel_size, 1, self.padding, bias=False) # self.Wxf = nn.Conv2d(self.input_channels, self.hidden_channels, self.kernel_size, 1, self.padding, bias=True) # self.Whf = nn.Conv2d(self.hidden_channels, self.hidden_channels, self.kernel_size, 1, self.padding, bias=False) # self.Wxc = nn.Conv2d(self.input_channels, self.hidden_channels, self.kernel_size, 1, self.padding, bias=True) # self.Whc = nn.Conv2d(self.hidden_channels, self.hidden_channels, self.kernel_size, 1, self.padding, bias=False) # self.Wxo = nn.Conv2d(self.input_channels, self.hidden_channels, self.kernel_size, 1, self.padding, bias=True) # self.Who = nn.Conv2d(self.hidden_channels, self.hidden_channels, self.kernel_size, 1, self.padding, bias=False) # # self.Wci = None # self.Wcf = None # self.Wco = None # # def forward(self, x, h, c): # ci = torch.sigmoid(self.Wxi(x) + self.Whi(h) + c * self.Wci) # cf = torch.sigmoid(self.Wxf(x) + self.Whf(h) + c * self.Wcf) # cc = cf * c + ci * torch.tanh(self.Wxc(x) + self.Whc(h)) # co = torch.sigmoid(self.Wxo(x) + self.Who(h) + cc * self.Wco) # ch = co * torch.tanh(cc) # return ch, cc # # def init_hidden(self, batch_size, hidden, shape): # if self.Wci is None: # self.Wci = torch.tensor(torch.zeros(1, hidden, shape[0], shape[1])).to(device) # self.Wcf = torch.tensor(torch.zeros(1, hidden, shape[0], shape[1])).to(device) # self.Wco = torch.tensor(torch.zeros(1, hidden, shape[0], shape[1])).to(device) # else: # assert shape[0] == self.Wci.size()[2], 'Input Height Mismatched!' # assert shape[1] == self.Wci.size()[3], 'Input Width Mismatched!' # return (torch.tensor(torch.zeros(batch_size, hidden, shape[0], shape[1])).to(device), # torch.tensor(torch.zeros(batch_size, hidden, shape[0], shape[1])).to(device)) # # # class ConvLSTM(nn.Module): # # input_channels corresponds to the first input feature map # # hidden state is a list of succeeding lstm layers. # def __init__(self, input_channels, hidden_channels, kernel_size, step=1, effective_step=[1]): # super(ConvLSTM, self).__init__() # self.input_channels = [input_channels] + hidden_channels # self.hidden_channels = hidden_channels # self.kernel_size = kernel_size # self.num_layers = len(hidden_channels) # self.step = step # self.effective_step = effective_step # self._all_layers = [] # for i in range(self.num_layers): # name = 'cell{}'.format(i) # cell = ConvLSTMCell(self.input_channels[i], self.hidden_channels[i], self.kernel_size) # setattr(self, name, cell) # self._all_layers.append(cell) # # def forward(self, _input): # internal_state = [] # outputs = [] # for step in range(self.step): # x = _input # for i in range(self.num_layers): # # all cells are initialized in the first step # name = 'cell{}'.format(i) # if step == 0: # bsize, _, height, width = x.size() # (h, c) = getattr(self, name).init_hidden(batch_size=bsize, hidden=self.hidden_channels[i], # shape=(height, width)) # internal_state.append((h, c)) # # # do forward # (h, c) = internal_state[i] # x, new_c = getattr(self, name)(x, h, c) # internal_state[i] = (x, new_c) # # only record effective steps # if step in self.effective_step: # outputs.append(x) # # return outputs, (x, new_c) # ===================================================================================================================== # class ConvLSTMCell(nn.Module): # def __init__(self, input_size, input_dim, # hidden_dim, kernel_size, bias=True, mode_train=True): # """ # Initialize ConvLSTM cell. # Parameters # ---------- # input_size (int, int): # height x width of input tensor # input_dim (int): # number of channels of input tensor # hidden_dim (int): # number of channels of hidden state # kernel_size (int): # size of filter kernel # bias (bool): # add bias or not # """ # # super(ConvLSTMCell, self).__init__() # # self.height, self.width = input_size # self.input_dim = input_dim # self.hidden_dim = hidden_dim # # self.kernel_size = kernel_size # self.padding = kernel_size[0] // 2, kernel_size[1] // 2 # self.bias = bias # # """ # 注意输入输出的维度，是为了混合卷积，加快运算速度 # LSTM: gate_size = 4 * hidden_size # GRU: gate_size = 3 * hidden_size # """ # self.conv = nn.Conv2d(in_channels=self.input_dim + self.hidden_dim, # out_channels=4 * self.hidden_dim, # kernel_size=self.kernel_size, # padding=self.padding, bias=self.bias) # # self.mode_train = mode_train # # def forward(self, input_tensor, cur_state): # """ # input_tensor (Tensor): # input x # cur_state (Tensor, Tensor): # h_out, c_out: the output of the previous state # return：h_next, c_next # """ # h_cur, c_cur = cur_state # # # concatenate along channel axis # combined = torch.cat([input_tensor, h_cur], dim=1) # # # ConvLSTM: concatenate to speed up # combined_conv = self.conv(combined) # cc_i, cc_f, cc_o, cc_g = torch.split(combined_conv, self.hidden_dim, dim=1) # i = torch.sigmoid(cc_i) # f = torch.sigmoid(cc_f) # o = torch.sigmoid(cc_o) # g = torch.tanh(cc_g) # # c_next = f * c_cur + i * g # h_next = o * torch.tanh(c_next) # # return h_next, c_next # # def init_hidden(self, batch_size, device, cuda_use): # if cuda_use: # return (torch.zeros(batch_size, self.hidden_dim, self.height, self.width).to('cuda:0'), # torch.zeros(batch_size, self.hidden_dim, self.height, self.width).to('cuda:0')) # else: # return (torch.zeros(batch_size, self.hidden_dim, self.height, self.width).to('cuda:0'), # torch.zeros(batch_size, self.hidden_dim, self.height, self.width).to('cuda:0')) # # # class ConvLSTM(nn.Module): # def __init__(self, input_size, input_dim, hidden_dim, kernel_size, # num_layers, batch_first=False, bias=True, # return_all_layers=False, cuda_use=False, device="cuda:0", mode_train=True): # """ # Initialize ConvLSTM network. # Parameters # ---------- # input_size (int, int): # height and width of input tensor # input_dim (int): # number of channels of input tensor # hidden_dim (int): # number of channels of hidden state # kernel_size (int): # size of filter kernel # num_layers (int): # number of ConvLSTMCells # batch_first (bool): # batch first or not # bias (bool): # add bias or not # return_all_layers (bool): # return all the layers or not # cuda_use (bool): # use GPU(s) or not # """ # # super(ConvLSTM, self).__init__() # # self._check_kernel_size_consistency(kernel_size) # # # make sure kernel_size and hidden_dim are lists having len == num_layers # kernel_size = self._extend_for_multilayer(kernel_size, num_layers) # hidden_dim = self._extend_for_multilayer(hidden_dim, num_layers) # if len(kernel_size) != num_layers or len(hidden_dim) != num_layers: # raise ValueError('Inconsistent list length.') # # self.height, self.width = input_size # # self.input_dim = input_dim # self.hidden_dim = hidden_dim # self.kernel_size = kernel_size # self.num_layers = num_layers # self.batch_first = batch_first # self.bias = bias # self.return_all_layers = return_all_layers # self.cuda_use = cuda_use # self.device = device # # cell_list = [] # # # add LSTM Unit to cell_list # for i in range(0, self.num_layers): # if i == 0: # cur_input_dim = self.input_dim # else: # cur_input_dim = hidden_dim[i - 1] # # if self.cuda_use: # cell_list.append(ConvLSTMCell(input_size=(self.height, self.width), # input_dim=cur_input_dim, # hidden_dim=self.hidden_dim[i], # kernel_size=self.kernel_size[i], # bias=self.bias, mode_train=mode_train)) # else: # cell_list.append(ConvLSTMCell(input_size=(self.height, self.width), # input_dim=cur_input_dim, # hidden_dim=self.hidden_dim[i], # kernel_size=self.kernel_size[i], # bias=self.bias)) # self.cell_list = nn.ModuleList(cell_list) # # def forward(self, input_tensor, hidden_state=None): # """ # Parameters # ---------- # input_tensor: todo # 5-D Tensor either of shape # (t, b, c, h, w) or # (b, t, c, h, w) # hidden_state: todo # None. todo implement stateful # return: last_state_list, layer_output # """ # # # (t, b, c, h, w) -> (b, t, c, h, w) # if not self.batch_first: # input_tensor.permute(1, 0, 2, 3, 4) # # # Implement stateful ConvLSTM # if hidden_state is not None: # raise NotImplementedError() # else: # hidden_state = self._init_hidden(batch_size=input_tensor.size(0), cuda_use=self.cuda_use) # # layer_output_list = [] # last_state_list = [] # # seq_len = input_tensor.size(1) # cur_layer_input = input_tensor # # for layer_idx in range(self.num_layers): # # h, c = hidden_state[layer_idx] # output_inner = [] # for t in range(seq_len): # h, c = self.cell_list[layer_idx](input_tensor=cur_layer_input[:, t, :, :, :], # cur_state=[h, c]) # output_inner.append(h) # # layer_output = torch.stack(output_inner, dim=1) # cur_layer_input = layer_output # # layer_output_list.append(layer_output) # last_state_list.append([h, c]) # # if not self.return_all_layers: # layer_output_list = layer_output_list[-1:] # last_state_list = last_state_list[-1:] # # return layer_output_list, last_state_list # # def _init_hidden(self, batch_size, cuda_use=False): # init_states = [] # for i in range(self.num_layers): # init_states.append(self.cell_list[i].init_hidden(batch_size, self.device, cuda_use=cuda_use)) # return init_states # # @staticmethod # def _check_kernel_size_consistency(kernel_size): # if not (isinstance(kernel_size, tuple) or # (isinstance(kernel_size, list) and all([isinstance(elem, tuple) for elem in kernel_size]))): # raise ValueError('`kernel_size` must be tuple or list of tuples') # # @staticmethod # def _extend_for_multilayer(param, num_layers): # if not isinstance(param, list): # param = [param] * num_layers # return param # # # ===================================================================================================================== # # class ConvLSTMCell_2(nn.Module): # def __init__(self, input_size, input_dim, # hidden_dim, kernel_size, bias=True): # """ # Initialize ConvLSTM cell. # Parameters # ---------- # input_size (int, int): # height x width of input tensor # input_dim (int): # number of channels of input tensor # hidden_dim (int): # number of channels of hidden state # kernel_size (int): # size of filter kernel # bias (bool): # add bias or not # """ # # super(ConvLSTMCell_2, self).__init__() # # self.height, self.width = input_size # self.input_dim = input_dim # self.hidden_dim = hidden_dim # # self.kernel_size = kernel_size # self.padding = kernel_size[0] // 2, kernel_size[1] // 2 # self.bias = bias # # """ # 注意输入输出的维度，是为了混合卷积，加快运算速度 # LSTM: gate_size = 4 * hidden_size # GRU: gate_size = 3 * hidden_size # """ # self.conv = nn.Conv2d(in_channels=self.input_dim + self.hidden_dim, # out_channels=4 * self.hidden_dim, # kernel_size=self.kernel_size, # padding=self.padding, bias=self.bias) # # def forward(self, input_tensor, cur_state): # """ # input_tensor (Tensor): # input x # cur_state (Tensor, Tensor): # h_out, c_out: the output of the previous state # return：h_next, c_next # """ # h_cur, c_cur = cur_state # # # concatenate along channel axis # combined = torch.cat([input_tensor, h_cur], dim=1) # # # ConvLSTM: concatenate to speed up # combined_conv = self.conv(combined) # cc_i, cc_f, cc_o, cc_g = torch.split(combined_conv, self.hidden_dim, dim=1) # i = torch.sigmoid(cc_i) # f = torch.sigmoid(cc_f) # o = torch.sigmoid(cc_o) # g = torch.tanh(cc_g) # # c_next = f * c_cur + i * g # h_next = o * torch.tanh(c_next) # # return h_next, c_next # # def init_hidden(self, batch_size, device, cuda_use): # if cuda_use: # return (torch.zeros(batch_size, self.hidden_dim, self.height, self.width).to('cuda:1'), # torch.zeros(batch_size, self.hidden_dim, self.height, self.width).to('cuda:1')) # else: # return (torch.zeros(batch_size, self.hidden_dim, self.height, self.width).to('cuda:1'), # torch.zeros(batch_size, self.hidden_dim, self.height, self.width).to('cuda:1')) # # # class ConvLSTM_2(nn.Module): # def __init__(self, input_size, input_dim, hidden_dim, kernel_size, # num_layers, batch_first=False, bias=True, # return_all_layers=False, cuda_use=False, device="cuda:1"): # """ # Initialize ConvLSTM network. # Parameters # ---------- # input_size (int, int): # height and width of input tensor # input_dim (int): # number of channels of input tensor # hidden_dim (int): # number of channels of hidden state # kernel_size (int): # size of filter kernel # num_layers (int): # number of ConvLSTMCells # batch_first (bool): # batch first or not # bias (bool): # add bias or not # return_all_layers (bool): # return all the layers or not # cuda_use (bool): # use GPU(s) or not # """ # # super(ConvLSTM_2, self).__init__() # # self._check_kernel_size_consistency(kernel_size) # # # make sure kernel_size and hidden_dim are lists having len == num_layers # kernel_size = self._extend_for_multilayer(kernel_size, num_layers) # hidden_dim = self._extend_for_multilayer(hidden_dim, num_layers) # if len(kernel_size) != num_layers or len(hidden_dim) != num_layers: # raise ValueError('Inconsistent list length.') # # self.height, self.width = input_size # # self.input_dim = input_dim # self.hidden_dim = hidden_dim # self.kernel_size = kernel_size # self.num_layers = num_layers # self.batch_first = batch_first # self.bias = bias # self.return_all_layers = return_all_layers # self.cuda_use = cuda_use # self.device = device # # cell_list = [] # # # add LSTM Unit to cell_list # for i in range(0, self.num_layers): # if i == 0: # cur_input_dim = self.input_dim # else: # cur_input_dim = hidden_dim[i - 1] # # if self.cuda_use: # cell_list.append(ConvLSTMCell_2(input_size=(self.height, self.width), # input_dim=cur_input_dim, # hidden_dim=self.hidden_dim[i], # kernel_size=self.kernel_size[i], # bias=self.bias)) # else: # cell_list.append(ConvLSTMCell_2(input_size=(self.height, self.width), # input_dim=cur_input_dim, # hidden_dim=self.hidden_dim[i], # kernel_size=self.kernel_size[i], # bias=self.bias)) # self.cell_list = nn.ModuleList(cell_list) # # def forward(self, input_tensor, hidden_state=None): # """ # Parameters # ---------- # input_tensor: todo # 5-D Tensor either of shape # (t, b, c, h, w) or # (b, t, c, h, w) # hidden_state: todo # None. todo implement stateful # return: last_state_list, layer_output # """ # # # (t, b, c, h, w) -> (b, t, c, h, w) # if not self.batch_first: # input_tensor.permute(1, 0, 2, 3, 4) # # # Implement stateful ConvLSTM # if hidden_state is not None: # raise NotImplementedError() # else: # hidden_state = self._init_hidden(batch_size=input_tensor.size(0), cuda_use=self.cuda_use) # # layer_output_list = [] # last_state_list = [] # # seq_len = input_tensor.size(1) # cur_layer_input = input_tensor # # for layer_idx in range(self.num_layers): # # h, c = hidden_state[layer_idx] # output_inner = [] # for t in range(seq_len): # h, c = self.cell_list[layer_idx](input_tensor=cur_layer_input[:, t, :, :, :], # cur_state=[h, c]) # output_inner.append(h) # # layer_output = torch.stack(output_inner, dim=1) # cur_layer_input = layer_output # # layer_output_list.append(layer_output) # last_state_list.append([h, c]) # # if not self.return_all_layers: # layer_output_list = layer_output_list[-1:] # last_state_list = last_state_list[-1:] # # return layer_output_list, last_state_list # # def _init_hidden(self, batch_size, cuda_use=False): # init_states = [] # for i in range(self.num_layers): # init_states.append(self.cell_list[i].init_hidden(batch_size, self.device, cuda_use=cuda_use)) # return init_states # # @staticmethod # def _check_kernel_size_consistency(kernel_size): # if not (isinstance(kernel_size, tuple) or # (isinstance(kernel_size, list) and all([isinstance(elem, tuple) for elem in kernel_size]))): # raise ValueError('`kernel_size` must be tuple or list of tuples') # # @staticmethod # def _extend_for_multilayer(param, num_layers): # if not isinstance(param, list): # param = [param] * num_layers # return param # ===================================================================================================================== class Reshape(nn.Module): def __init__(self, args): super(Reshape, self).__init__() self.shape = args def forward(self, x): return x.view(self.shape) # class LSTMGenerator_A(nn.Module): # def __init__(self, batch_size, window_size, step_size, device): # super(LSTMGenerator_A, self).__init__() # # self.model_1 = Reshape([int(batch_size * window_size / step_size), 3, 128, 256]) # # self.model_2 = nn.Sequential( # nn.Conv2d(3, 64, kernel_size=3, stride=2, padding=1), # nn.InstanceNorm2d(64), # nn.ReLU(True), # # nn.Conv2d(64, 128, kernel_size=3, stride=2, padding=1), # nn.InstanceNorm2d(128), # nn.ReLU(True) # ) # # self.model_3 = Reshape([int(batch_size), int(window_size / step_size), 128, 32, 64]) # # self.model_4 = nn.Sequential( # ConvLSTM(input_size=(32, 64), input_dim=128, hidden_dim=[256], kernel_size=(3, 3), num_layers=1, # batch_first=True, return_all_layers=True, cuda_use=True, device=device) # ) # # self.model_5 = Reshape([int(batch_size * window_size / step_size), 256, 32, 64]) # # self.model_6 = nn.Sequential( # ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256) # ) # # self.model_7 = Reshape([int(batch_size), int(window_size / step_size), 256, 32, 64]) # # self.model_8 = nn.Sequential( # ConvLSTM(input_size=(32, 64), input_dim=256, hidden_dim=[128], kernel_size=(3, 3), num_layers=1, # batch_first=True, return_all_layers=True, cuda_use=True, device=device) # ) # # self.model_9 = Reshape([int(batch_size * window_size / step_size), 128, 32, 64]) # # self.model_10 = nn.Sequential( # nn.ConvTranspose2d(128, 64, kernel_size=3, stride=2, padding=1, output_padding=1), # nn.InstanceNorm2d(64), # nn.ReLU(True), # # nn.ConvTranspose2d(64, 32, kernel_size=3, stride=2, padding=1, output_padding=1), # nn.InstanceNorm2d(32), # nn.ReLU(True), # # nn.ReflectionPad2d(3), # nn.Conv2d(32, 3, kernel_size=7, stride=1, padding=0), # nn.Tanh() # ) # # self.model_11 = Reshape([int(batch_size), int(window_size / step_size), 3, 128, 256]) # # # initialize weights # self.model_2.apply(self._init_weights) # self.model_6.apply(self._init_weights) # self.model_10.apply(self._init_weights) # # def forward(self, input_img): # out = self.model_1(input_img) # out = self.model_2(out) # out = self.model_3(out) # layer_output_list_1, _ = self.model_4(out) # out = self.model_5(layer_output_list_1[0]) # out = self.model_6(out) # out = self.model_7(out) # layer_output_list_2, _ = self.model_8(out) # out = self.model_9(layer_output_list_2[0]) # out = self.model_10(out) # out = self.model_11(out) # return out # # # @staticmethod # def _init_weights(m): # classname = m.__class__.__name__ # if classname.find('Conv') != -1: # nn.init.normal(m.weight.data, 0.0, 0.02) # @staticmethod # def mix_batch_and_sequence(layer_output_list): # output_list = [] # for s in range(layer_output_list[1].size()[0]): # output_list.append(layer_output_list[1][s]) # add torch.Size([4, 128, 128, 256]) * num_layer # out = torch.cat(output_list, dim=0) # torch.Size([8, 128, 128, 256]) # return out # # @staticmethod # def make_batch_based_sequence(sequence, layer_output_list): # out_taple = torch.chunk(sequence, layer_output_list[1].size()[0], dim=0) # out_list = list(out_taple) # out = torch.stack(out_list, dim=0) # return out class LSTMGenerator_A(nn.Module): def __init__(self, batch_size, window_size, step_size, device): super(LSTMGenerator_A, self).__init__() self.model_1 = Reshape([int(batch_size * window_size / step_size), 3, 128, 256]) self.model_2 = nn.Sequential( nn.ReflectionPad2d(3), nn.Conv2d(3, 64, kernel_size=7), nn.InstanceNorm2d(64), nn.ReLU(True), nn.Conv2d(64, 128, kernel_size=3, stride=2, padding=1), nn.InstanceNorm2d(128), nn.ReLU(True), nn.Conv2d(128, 256, kernel_size=3, stride=2, padding=1), nn.InstanceNorm2d(256), nn.ReLU(True), ResNetBlock(256), ResNetBlock(256), ResNetBlock(256), ResNetBlock(256), ResNetBlock(256), ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), nn.ConvTranspose2d(256, 128, kernel_size=3, stride=2, padding=1, output_padding=1), nn.InstanceNorm2d(128), nn.ReLU(True), nn.ConvTranspose2d(128, 64, kernel_size=3, stride=2, padding=1, output_padding=1), nn.InstanceNorm2d(64), nn.ReLU(True), nn.ReflectionPad2d(3), nn.Conv2d(64, 3, kernel_size=7, stride=1, padding=0), nn.Tanh() ) self.model_3 = Reshape([int(batch_size), int(window_size / step_size), 3, 128, 256]) # initialize weights self.model_2.apply(self._init_weights) def forward(self, input_img): out = self.model_1(input_img) out = self.model(out) out = self.model(out) return out @staticmethod def _init_weights(m): classname = m.__class__.__name__ if classname.find('Conv') != -1: nn.init.normal(m.weight.data, 0.0, 0.02) class LSTMGenerator_B(nn.Module): def __init__(self, batch_size, window_size, step_size, device): super(LSTMGenerator_B, self).__init__() self.model_1 = Reshape([int(batch_size * window_size / step_size), 3, 128, 256]) self.model_2 = nn.Sequential( nn.ReflectionPad2d(3), nn.Conv2d(3, 64, kernel_size=7), nn.InstanceNorm2d(64), nn.ReLU(True), nn.Conv2d(64, 128, kernel_size=3, stride=2, padding=1), nn.InstanceNorm2d(128), nn.ReLU(True), nn.Conv2d(128, 256, kernel_size=3, stride=2, padding=1), nn.InstanceNorm2d(256), nn.ReLU(True), ResNetBlock(256), ResNetBlock(256), ResNetBlock(256), ResNetBlock(256), ResNetBlock(256), ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), nn.ConvTranspose2d(256, 128, kernel_size=3, stride=2, padding=1, output_padding=1), nn.InstanceNorm2d(128), nn.ReLU(True), nn.ConvTranspose2d(128, 64, kernel_size=3, stride=2, padding=1, output_padding=1), nn.InstanceNorm2d(64), nn.ReLU(True), nn.ReflectionPad2d(3), nn.Conv2d(64, 3, kernel_size=7, stride=1, padding=0), nn.Tanh() ) self.model_3 = Reshape([int(batch_size), int(window_size / step_size), 3, 128, 256]) # initialize weights self.model_2.apply(self._init_weights) def forward(self, input_img): out = self.model_1(input_img.to('cuda:1')) out = self.model(out) out = self.model_3(out) return out.to('cuda:0') @staticmethod def _init_weights(m): classname = m.__class__.__name__ if classname.find('Conv') != -1: nn.init.normal(m.weight.data, 0.0, 0.02) # class LSTMGenerator_B(nn.Module): # def __init__(self, batch_size, window_size, step_size, device): # super(LSTMGenerator_B, self).__init__() # # self.model_1 = Reshape([int(batch_size * window_size / step_size), 3, 128, 256]) # # self.model_2 = nn.Sequential( # nn.Conv2d(3, 64, kernel_size=3, stride=2, padding=1), # nn.InstanceNorm2d(64), # nn.ReLU(True), # # nn.Conv2d(64, 128, kernel_size=3, stride=2, padding=1), # nn.InstanceNorm2d(128), # nn.ReLU(True) # ) # # self.model_3 = Reshape([int(batch_size), int(window_size / step_size), 128, 32, 64]) # # self.model_4 = nn.Sequential( # ConvLSTM_2(input_size=(32, 64), input_dim=128, hidden_dim=[256], kernel_size=(3, 3), num_layers=1, # batch_first=True, return_all_layers=True, cuda_use=True, device=device) # ) # # self.model_5 = Reshape([int(batch_size * window_size / step_size), 256, 32, 64]) # # self.model_6 = nn.Sequential( # ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256) # ) # # self.model_7 = Reshape([int(batch_size), int(window_size / step_size), 256, 32, 64]) # # self.model_8 = nn.Sequential( # ConvLSTM_2(input_size=(32, 64), input_dim=256, hidden_dim=[128], kernel_size=(3, 3), num_layers=1, # batch_first=True, return_all_layers=True, cuda_use=True, device=device) # ) # # self.model_9 = Reshape([int(batch_size * window_size / step_size), 128, 32, 64]) # # self.model_10 = nn.Sequential( # nn.ConvTranspose2d(128, 64, kernel_size=3, stride=2, padding=1, output_padding=1), # nn.InstanceNorm2d(64), # nn.ReLU(True), # # nn.ConvTranspose2d(64, 32, kernel_size=3, stride=2, padding=1, output_padding=1), # nn.InstanceNorm2d(32), # nn.ReLU(True), # # nn.ReflectionPad2d(3), # nn.Conv2d(32, 3, kernel_size=7, stride=1, padding=0), # nn.Tanh() # ) # # self.model_11 = Reshape([int(batch_size), int(window_size / step_size), 3, 128, 256]) # # # initialize weights # self.model_2.apply(self._init_weights) # self.model_6.apply(self._init_weights) # self.model_10.apply(self._init_weights) # # def forward(self, input_img): # out = self.model_1(input_img.to('cuda:1')) # out = self.model_2(out) # out = self.model_3(out) # layer_output_list_1, _ = self.model_4(out) # out = self.model_5(layer_output_list_1[0]) # out = self.model_6(out) # out = self.model_7(out) # layer_output_list_2, _ = self.model_8(out) # out = self.model_9(layer_output_list_2[0]) # out = self.model_10(out) # out = self.model_11(out) # return out.to('cuda:0') # # @staticmethod # def _init_weights(m): # classname = m.__class__.__name__ # if classname.find('Conv') != -1: # nn.init.normal(m.weight.data, 0.0, 0.02) # @staticmethod # def mix_batch_and_sequence(layer_output_list): # output_list = [] # for s in range(layer_output_list[1].size()[0]): # output_list.append(layer_output_list[1][s]) # add torch.Size([4, 128, 128, 256]) * num_layer # out = torch.cat(output_list, dim=0) # torch.Size([8, 128, 128, 256]) # return out # # @staticmethod # def make_batch_based_sequence(sequence, layer_output_list): # out_taple = torch.chunk(sequence, layer_output_list[1].size()[0], dim=0) # out_list = list(out_taple) # out = torch.stack(out_list, dim=0) # return out # class LSTMDiscriminator_A(nn.Module): # # def __init__(self, batch_size, window_size, step_size, device): # super(LSTMDiscriminator_A, self).__init__() # # self.model_1 = nn.Sequential( # ConvLSTM(input_size=(128, 256), input_dim=3, hidden_dim=[64, 64], kernel_size=(3, 3), num_layers=2, # batch_first=True, return_all_layers=True, cuda_use=True, device=device) # ) # # self.model_2 = nn.Sequential( # nn.Linear(int(window_size / step_size)*128*256*64, 1), # nn.Sigmoid() # ) # # # initialize weights # # def forward(self, input_img): # layer_output_list, _ = self.model_1(input_img) # out = self.model_2(layer_output_list[1]).squeeze() # return out # class LSTMDiscriminator_A(nn.Module): # # def __init__(self, batch_size, window_size, step_size, device): # super(LSTMDiscriminator_A, self).__init__() # # self.model_1 = Reshape([int(batch_size * window_size / step_size), 3, 128, 256]) # # self.model_2 = nn.Sequential( # nn.Conv2d(3, 64, kernel_size=4, stride=2, padding=1), # nn.LeakyReLU(0.2, True), # nn.Conv2d(64, 128, kernel_size=4, stride=2, padding=1), # nn.InstanceNorm2d(128), # nn.LeakyReLU(0.2, True) # ) # # self.model_3 = Reshape([int(batch_size), int(window_size / step_size), 128, 32, 64]) # # self.model_4 = nn.Sequential( # ConvLSTM(input_size=(32, 64), input_dim=128, hidden_dim=[128, 128], kernel_size=(3, 3), num_layers=2, # batch_first=True, return_all_layers=True, cuda_use=True, device=device) # ) # # self.model_5 = Reshape([int(batch_size * window_size / step_size), 128, 32, 64]) # # self.model_6 = nn.Sequential( # nn.Conv2d(128, 256, kernel_size=4, stride=2, padding=1), # nn.InstanceNorm2d(256), # nn.LeakyReLU(0.2, True), # nn.Conv2d(256, 512, kernel_size=4, stride=2, padding=1), # nn.InstanceNorm2d(512), # nn.LeakyReLU(0.2, True), # nn.Conv2d(512, 1, kernel_size=4, stride=1, padding=1) # ) # # self.model_7 = Reshape([int(batch_size), int(window_size / step_size), 1, 7, 15]) # # # initialize weights # self.model_2.apply(self._init_weights) # self.model_6.apply(self._init_weights) # # def forward(self, input_img): # out = self.model_1(input_img) # out = self.model_2(out) # out = self.model_3(out) # layer_output_list, _ = self.model_4(out) # out = self.model_5(layer_output_list[1]) # out = self.model_6(out) # out = self.model_7(out) # return out # # @staticmethod # def _init_weights(m): # classname = m.__class__.__name__ # if classname.find('Conv') != -1: # nn.init.normal(m.weight.data, 0.0, 0.02) # @staticmethod # def mix_batch_and_sequence(layer_output_list): # torch.Size([2, 4, 128, 128, 256]) to ([8, 128, 128, 256]) # output_list = [] # for s in range(layer_output_list[1].size()[0]): # 2層目からの画像のサイズ # output_list.append(layer_output_list[1][s]) # add torch.Size([4, 128, 128, 256]) * num_layer # out = torch.cat(output_list, dim=0) # torch.Size([8, 128, 128, 256]) # return out # # @staticmethod # def make_batch_based_sequence(sequence, layer_output_list): # out_taple = torch.chunk(sequence, layer_output_list[1].size()[0], dim=0) # out_list = list(out_taple) # out = torch.stack(out_list, dim=0) # return out # class LSTMDiscriminator_B(nn.Module): # # def __init__(self, batch_size, window_size, step_size, device): # super(LSTMDiscriminator_B, self).__init__() # # self.model_1 = nn.Sequential( # ConvLSTM_2(input_size=(128, 256), input_dim=3, hidden_dim=[64, 64], kernel_size=(3, 3), num_layers=2, # batch_first=True, return_all_layers=True, cuda_use=True, device=device) # ) # # self.model_2 = nn.Sequential( # nn.Linear(int(window_size / step_size)*128*256*64, 1), # nn.Sigmoid() # ) # # # initialize weights # # def forward(self, input_img): # layer_output_list, _ = self.model_1(input_img.to('cuda:1')) # out = self.model_2(layer_output_list[1]).squeeze() # return out.to('cuda:0') # # @staticmethod # def _init_weights(m): # classname = m.__class__.__name__ # if classname.find('Conv') != -1: # nn.init.normal(m.weight.data, 0.0, 0.02) # @staticmethod # def mix_batch_and_sequence(layer_output_list): # torch.Size([2, 4, 128, 128, 256]) to ([8, 128, 128, 256]) # output_list = [] # for s in range(layer_output_list[1].size()[0]): # 2層目からの画像のサイズ # output_list.append(layer_output_list[1][s]) # add torch.Size([4, 128, 128, 256]) * num_layer # out = torch.cat(output_list, dim=0) # torch.Size([8, 128, 128, 256]) # return out # # @staticmethod # def make_batch_based_sequence(sequence, layer_output_list): # out_taple = torch.chunk(sequence, layer_output_list[1].size()[0], dim=0) # out_list = list(out_taple) # out = torch.stack(out_list, dim=0) # return out class C3dResNetBlock(nn.Module): def __init__(self, dim): super(C3dResNetBlock, self).__init__() conv_block = [] conv_block += [nn.ReplicationPad3d(1), nn.Conv3d(dim, dim, kernel_size=3), nn.InstanceNorm3d(dim), nn.ReLU(True), nn.ReplicationPad3d(1), nn.Conv3d(dim, dim, kernel_size=3), nn.InstanceNorm3d(dim)] self.conv_block = nn.Sequential(*conv_block) def forward(self, x): out = x + self.conv_block(x) return out class Conv3dGenerator(nn.Module): def __init__(self): super(Conv3dGenerator, self).__init__() self.model = nn.Sequential( nn.ReplicationPad3d(1), nn.Conv3d(3, 64, kernel_size=3), nn.InstanceNorm3d(64), nn.ReLU(True), nn.Conv3d(64, 128, kernel_size=3, stride=[1, 2, 2], padding=1), nn.InstanceNorm3d(128), nn.ReLU(True), nn.Conv3d(128, 256, kernel_size=3, stride=[1, 2, 2], padding=1), nn.InstanceNorm3d(256), nn.ReLU(True), C3dResNetBlock(256), C3dResNetBlock(256), C3dResNetBlock(256), C3dResNetBlock(256), C3dResNetBlock(256), C3dResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), nn.ConvTranspose3d(256, 128, kernel_size=3, stride=[1, 2, 2], padding=1, output_padding=[0, 1, 1]), nn.InstanceNorm3d(128), nn.ReLU(True), nn.ConvTranspose3d(128, 64, kernel_size=3, stride=[1, 2, 2], padding=1, output_padding=[0, 1, 1]), nn.InstanceNorm3d(64), nn.ReLU(True), nn.ReplicationPad3d(1), nn.Conv3d(64, 3, kernel_size=3, stride=1, padding=0), nn.Tanh() ) # initialize weights self.model.apply(self._init_weights) def forward(self, input_img): out = input_img.permute([0, 2, 1, 3, 4]) out = self.model(out) out = out.permute([0, 2, 1, 3, 4]) return out @staticmethod def _init_weights(m): classname = m.__class__.__name__ if classname.find('Conv') != -1: nn.init.normal(m.weight.data, 0.0, 0.02) class Conv2dConv3dGenerator(nn.Module): def __init__(self, batch_size, window_size, step_size): super(Conv2dConv3dGenerator, self).__init__() self.model_1 = Reshape([-1, 3, 128, 256]) self.model_2 = nn.Sequential( nn.ReflectionPad2d(3), nn.Conv2d(3, 64, kernel_size=7), nn.InstanceNorm2d(64), nn.ReLU(True), nn.Conv2d(64, 128, kernel_size=3, stride=2, padding=1), nn.InstanceNorm2d(128), nn.ReLU(True), nn.Conv2d(128, 256, kernel_size=3, stride=2, padding=1), nn.InstanceNorm2d(256), nn.ReLU(True) ) self.model_3 = Reshape([-1, int(window_size / step_size), 256, 32, 64]) self.model_4 = nn.Sequential( C3dResNetBlock(256), C3dResNetBlock(256), C3dResNetBlock(256), C3dResNetBlock(256), C3dResNetBlock(256), C3dResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), # ResNetBlock(256), ) # self.model_5 = Reshape([-1, 256, 32, 64]) self.model_6 = nn.Sequential( nn.ConvTranspose2d(256, 128, kernel_size=3, stride=2, padding=1, output_padding=1), nn.InstanceNorm2d(128), nn.ReLU(True), nn.ConvTranspose2d(128, 64, kernel_size=3, stride=2, padding=1, output_padding=1), nn.InstanceNorm2d(64), nn.ReLU(True), nn.ReflectionPad2d(3), nn.Conv2d(64, 3, kernel_size=7, stride=1, padding=0), nn.Tanh() ) self.model_7 = Reshape([-1, int(window_size / step_size), 3, 128, 256]) # initialize weights self.model_2.apply(self._init_weights) self.model_6.apply(self._init_weights) def forward(self, input_img): out = self.model_1(input_img) out = self.model_2(out) out = self.model_3(out) out = out.permute([0, 2, 1, 3, 4]) out = self.model_4(out) out = out.permute([0, 2, 1, 3, 4]) out = out.contiguous().view([-1, 256, 32, 64]) out = self.model_6(out) out = self.model_7(out) return out @staticmethod def _init_weights(m): classname = m.__class__.__name__ if classname.find('Conv') != -1: nn.init.normal(m.weight.data, 0.0, 0.02) class Conv3dDiscriminator(nn.Module): def __init__(self): super(Conv3dDiscriminator, self).__init__() self.model = nn.Sequential( nn.Conv3d(3, 64, kernel_size=3, stride=[1, 2, 2], padding=1), nn.LeakyReLU(0.2, True), nn.Conv3d(64, 128, kernel_size=3, stride=[1, 2, 2], padding=1), nn.InstanceNorm3d(128), nn.LeakyReLU(0.2, True), nn.Conv3d(128, 256, kernel_size=3, stride=[1, 2, 2], padding=1), nn.InstanceNorm3d(256), nn.LeakyReLU(0.2, True), nn.Conv3d(256, 512, kernel_size=3, stride=1, padding=1), nn.InstanceNorm3d(512), nn.LeakyReLU(0.2, True), nn.Conv3d(512, 1, kernel_size=3, stride=1, padding=1) ) # initialize weights self.model.apply(self._init_weights) def forward(self, input_img): out = input_img.permute([0, 2, 1, 3, 4]) out = self.model(out) out = out.permute([0, 2, 1, 3, 4]) return out.squeeze() @staticmethod def _init_weights(m): classname = m.__class__.__name__ if classname.find('Conv') != -1: nn.init.normal(m.weight.data, 0.0, 0.02) class FrameDiscriminator(nn.Module): def __init__(self, batch_size, window_size, step_size): super(FrameDiscriminator, self).__init__() self.model_1 = Reshape([-1, 3, 128, 256]) self.model_2 = nn.Sequential( nn.Conv2d(3, 64, kernel_size=4, stride=2, padding=1), nn.LeakyReLU(0.2, True), nn.Conv2d(64, 128, kernel_size=4, stride=2, padding=1), nn.InstanceNorm2d(128), nn.LeakyReLU(0.2, True), nn.Conv2d(128, 256, kernel_size=4, stride=2, padding=1), nn.InstanceNorm2d(256), nn.LeakyReLU(0.2, True), nn.Conv2d(256, 512, kernel_size=4, stride=1, padding=1), nn.InstanceNorm2d(512), nn.LeakyReLU(0.2, True), nn.Conv2d(512, 1, kernel_size=4, stride=1, padding=1) ) # initialize weights self.model_2.apply(self._init_weights) def forward(self, input_img): out = self.model_1(input_img) out = self.model_2(out) return out.squeeze() @staticmethod def _init_weights(m): classname = m.__class__.__name__ if classname.find('Conv') != -1: nn.init.normal(m.weight.data, 0.0, 0.02) # @staticmethod # def mix_batch_and_sequence(input): # torch.Size([2, 4, 128, 128, 256]) to ([8, 128, 128, 256]) # images_list = [] # for image in input: # images_list.append(image) # out = torch.cat(images_list, dim=0) # return out # class FrameDiscriminator_B(nn.Module): # # def __init__(self, batch_size, window_size, step_size): # super(FrameDiscriminator_B, self).__init__() # # self.model_1 = Reshape([int(batch_size * window_size / step_size), 3, 128, 256]) # # self.model_2 = nn.Sequential( # nn.Conv2d(3, 64, kernel_size=4, stride=2, padding=1), # nn.LeakyReLU(0.2, True), # nn.Conv2d(64, 128, kernel_size=4, stride=2, padding=1), # nn.InstanceNorm2d(128), # nn.LeakyReLU(0.2, True), # nn.Conv2d(128, 256, kernel_size=4, stride=2, padding=1), # nn.InstanceNorm2d(256), # nn.LeakyReLU(0.2, True), # nn.Conv2d(256, 512, kernel_size=4, stride=1, padding=1), # nn.InstanceNorm2d(512), # nn.LeakyReLU(0.2, True), # nn.Conv2d(512, 1, kernel_size=4, stride=1, padding=1) # ) # # # initialize weights # self.model_2.apply(self._init_weights) # # def forward(self, input_img): # out = self.model_1(input_img.to('cuda:1')) # out = self.model_2(out) # return out.to('cuda:0') # # @staticmethod # def _init_weights(m): # classname = m.__class__.__name__ # if classname.find('Conv') != -1: # nn.init.normal(m.weight.data, 0.0, 0.02) # @staticmethod # def mix_batch_and_sequence(input): # torch.Size([2, 4, 128, 128, 256]) to ([8, 128, 128, 256]) # images_list = [] # for image in input: # images_list.append(image) # out = torch.cat(images_list, dim=0) # return out if __name__ == '__main__': device = torch.device("cuda:0" if torch.cuda.is_available else "cpu") print('device {}'.format(device)) batch_size = 2 window_size = 48 step_size = 12 train_dataset = LSTMDataset(batch_size, window_size, step_size, is_train=True) train_loader = torch.utils.data.DataLoader(train_dataset, batch_size=batch_size, shuffle=True) # data = iter(train_loader).next() print('===========================================================') # print(data['A'].shape) # print(data['A'][0].shape) # print(data['B']) # print(data['path_A']) # torch.Size([4, 8, 3, 128, 256]) # print(data['path_A'][0]) # torch.Size([8, 3, 128, 256]) data['A'] = data['A'].to(device) print('A: ' + str(data['A'].shape)) print('===========================================================') CG = Conv3dGenerator().to(device) fake = CG(data['A']) print(fake.shape) # パラメータカウント params = 0 for p in CG.parameters(): if p.requires_grad: params += p.numel() print(params) # 23459587 CD = Conv3dDiscriminator().to(device) real_or_not = CD(data['A']) print(real_or_not.shape) # パラメータカウント params_1 = 0 for p in CD.parameters(): if p.requires_grad: params_1 += p.numel() print(params_1) # 4664833 C2C3G = Conv2dConv3dGenerator(batch_size, window_size, step_size).to(device) real_or_not_2 = C2C3G(data['A']) print(real_or_not_2.shape) # パラメータカウント params_2 = 0 for p in C2C3G.parameters(): if p.requires_grad: params_2 += p.numel() print(params_2) # 21993475 print("===============generator above") # # fake_judge = LD(fake) # print(fake_judge.shape) # print(fake_judge.grad_fn) # # fake_indi_judge = iLD(fake) # print(fake_indi_judge.shape) # print(fake_indi_judge.grad_fn) # # # # # y = fake_indi_judge.view(1, 4, 14, 30) # # print(y.grad_fn) # # # # output_list = [] # # for i in range(fake_judge.shape[0]): # # output_list.append(fake_judge[i]) # add torch.Size([4, 128, 128, 256]) * num_layer # # out = torch.cat(output_list, dim=0) # torch.Size([8, 128, 128, 256]) # # # # print(out.shape) # # # # return_images = [] # # for image in fake_judge: # # return_images.append(image) # # # # out_return = torch.cat(return_images, dim=0) # # # # print(out_return == out) # # # convlstm = ConvLSTM(input_size=(128, 256), input_dim=3, hidden_dim=[32, 64], kernel_size=(3, 3), num_layers=2, # batch_first=True, return_all_layers=True, cuda_use=True).to(device) # # layer_output_list, last_state_list = convlstm(data['A'].to(device)) # # print('layer below==============') # print(layer_output_list[1].shape) # from layer 1 of lstms / torch.Size([2, 2, 64, 128, 256]) # out_6 = layer_output_list[1].view([int(batch_size * window_size / step_size), 64, 128, 256]) # print('out_6: ' + str(out_6.shape)) # print('======') # print(layer_output_list[1][0].shape) # from layer 2 of lstms / torch.Size([2, 64, 128, 256]) # print(layer_output_list[1].size()[0]) # from layer 2 of lstms / 2 # print('======') # out = [] # for i in range(layer_output_list[1].size()[0]): # out.append(layer_output_list[1][i]) # # x = torch.cat(out, dim=0) # # print(x.shape) # # out_1 = torch.chunk(x, layer_output_list[1].size()[0], dim=0) # out_1_list = list(out_1) # out_1_list_stack = torch.stack(out_1_list, dim=0) # print(out_1_list_stack) # # print('===========================================================') # # # out_1, out_2 = torch.chunk(x, layer_output_list[1].size()[0], dim=0) # # # # print(out_1.size()) # # print(out_2.size()) # # # # out_3 = torch.stack([out_1, out_2], dim=0) # # # # print(out_3.size()) # # # # gradient check # # convlstm = ConvLSTM(input_channels=512, hidden_channels=[128, 64, 64, 32, 32], kernel_size=3, step=5, # # effective_step=[4]).to(device) # # loss_fn = torch.nn.MSELoss() # # # # input = torch.tensor(torch.randn(1, 2, 3, 16, 64)).to(device) # # target = torch.tensor(torch.randn(1, 2, 32, 16, 64)).double().to(device) # # # # output = convlstm(input) # # output = output[0][0].double() # # res = torch.autograd.gradcheck(loss_fn, (output, target), eps=1e-6, raise_exception=True) # # print(res)

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b2ab5a015da177007e385ab94b1f672f98e3d2bb

1,557

py

Python

ll.py

shehan-9909/t-banner

8301b8668198d47d26a892e860a77b135fca6560

[ "Apache-2.0" ]

null

ll.py

shehan-9909/t-banner

8301b8668198d47d26a892e860a77b135fca6560

[ "Apache-2.0" ]

null

ll.py

shehan-9909/t-banner

8301b8668198d47d26a892e860a77b135fca6560

[ "Apache-2.0" ]

null

# Obfuscated by Py Compile # Created by HTR-TECH (https://github.com/htr-tech) # Instagram : @tahmid.rayat import marshal,zlib,base64 exec(marshal.loads(zlib.decompress(base64.b64decode("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"))))

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a23b9ef0b81c61e18bdb48bea86d54470152de44

2,120

py

Python

tests/fixtures.py

jsbeckwith/entwiner

47e31d332a81ad3108a27cbe768663dc50ce2825

[ "Apache-2.0" ]

1

2021-02-11T19:21:24.000Z

tests/fixtures.py

jsbeckwith/entwiner

47e31d332a81ad3108a27cbe768663dc50ce2825

[ "Apache-2.0" ]

null

tests/fixtures.py

jsbeckwith/entwiner

47e31d332a81ad3108a27cbe768663dc50ce2825

[ "Apache-2.0" ]

1

2020-08-23T22:19:39.000Z

import os import pytest from entwiner import DiGraphDB, DiGraphDBView from .constants import FEATURES # TODO: Use a dynamic path and embed this into core graph functionality, like a # classmethod GRAPH_PATH = "/tmp/test_graph.gpkg" @pytest.fixture() def G_test(): if os.path.exists(GRAPH_PATH): os.remove(GRAPH_PATH) G = DiGraphDB.create_graph(path=GRAPH_PATH) # TODO: test integer node IDs as well as coordinates edges = [] for feature in FEATURES["features"]: start_x = round(feature["geometry"]["coordinates"][0][0], 7) start_y = round(feature["geometry"]["coordinates"][0][1], 7) end_x = round(feature["geometry"]["coordinates"][-1][0], 7) end_y = round(feature["geometry"]["coordinates"][-1][1], 7) u = f"{start_x}, {start_y}" v = f"{end_x}, {end_y}" d = {"geom": feature["geometry"]} edges.append((u, v, d)) rev_coords = list(reversed(feature["geometry"]["coordinates"])) d_rev = {"geom": {"type": "LineString", "coordinates": rev_coords}} edges.append((v, u, d_rev)) G.add_edges_from(edges) del G G = DiGraphDBView(path=GRAPH_PATH) return G @pytest.fixture() def G_test_writable(): if os.path.exists(GRAPH_PATH): os.remove(GRAPH_PATH) G = DiGraphDB.create_graph(path=GRAPH_PATH) # TODO: test integer node IDs as well as coordinates edges = [] for feature in FEATURES["features"]: start_x = round(feature["geometry"]["coordinates"][0][0], 7) start_y = round(feature["geometry"]["coordinates"][0][1], 7) end_x = round(feature["geometry"]["coordinates"][-1][0], 7) end_y = round(feature["geometry"]["coordinates"][-1][1], 7) u = f"{start_x}, {start_y}" v = f"{end_x}, {end_y}" d = {"geom": feature["geometry"]} edges.append((u, v, d)) rev_coords = list(reversed(feature["geometry"]["coordinates"])) d_rev = {"geom": {"type": "LineString", "coordinates": rev_coords}} edges.append((v, u, d_rev)) G.add_edges_from(edges) return G

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null

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10

a23ce0b8acb68f9f186675870267b5c794381022

134,180

py

Python

Smart_Process_Analytics.py

1212Prajwol-Pdl/SmartProcessAnalytics

b25b6e922e19cc61cfb9eb96395ad177af1daf71

[ "MIT" ]

2

2020-11-18T02:50:06.000Z

2021-02-02T16:18:32.000Z

Smart_Process_Analytics.py

1212Prajwol-Pdl/SmartProcessAnalytics

b25b6e922e19cc61cfb9eb96395ad177af1daf71

[ "MIT" ]

1

2021-09-09T15:52:53.000Z

2022-02-03T05:43:15.000Z

Smart_Process_Analytics.py

1212Prajwol-Pdl/SmartProcessAnalytics

b25b6e922e19cc61cfb9eb96395ad177af1daf71

[ "MIT" ]

3

2021-02-02T16:18:34.000Z

2021-09-08T06:27:37.000Z

# -*- coding: utf-8 -*- """ Created on Wed Feb 19 00:56:16 2020 @author: Weike (Vicky) Sun vickysun@mit.edu/weike.sun93@gmail.com (c) 2020 Weike Sun, all rights reserved """ import pandas as pd import numpy as np from dataset_property_new import nonlinearity_assess, collinearity_assess, residual_analysis, nonlinearity_assess_dynamic from sklearn.preprocessing import StandardScaler import matplotlib as mpl mpl.style.use('default') import warnings warnings.filterwarnings('ignore') """ Decision Tree for Smart Process Analytics """ """ Create Data Block """ print("""---------------------------------------------------- Please provide the following information using 'Yes=1' or 'No=0' ----------------------------------------------------""") if_have_testing_data = int(input("Do you have a specific testing dataset you want to test? ")) if_time_series = int(input("The data is time-series? ")) if_interpretable = int(input("Do you require the model to be interpretable? ")) if_continuity = int(input("Do you require the model to be contiuous? e.g., use the model for an optimizer. ")) if_grouped = int(input("Is there any grouping in your measurements? e.g., replicated measurements. ")) if not if_grouped: group =None if_spectra = int(input("Spectral data? ")) if_plot_interrogation = int(input("Do you want to visualize the data interrogation results? ")) if_time = int(input("Do you have time for nested cross-validation? ")) if_robust = int(input("Do you prioritize robustness over accuracy? ")) print('') print("""---------------------------------------------------- Please provide the following information using 'Yes=1', 'No=0', or 'Unknown=2' ---------------------------------------------------- """) if_enough = int(input("Do you think you have enough data to characterize the underlying process complexity? ")) if_nonlinear = int(input("Do you believe your model should be nonlinear? For spectral data, the linear model is used. ")) if if_spectra: if_nonlinear = 0 if_multicollinear= int(input("Do you believe there is siginificant collinearity in your data? ")) if_dynamic = int(input("Do you believe the dynamic model is neccessary? ")) if if_dynamic != 0 and if_time_series == 0: print('Warining*Your data is not time series data, so only static model should be considered.*') if_dynamic = 0 if_stability = int(input("Do you require information of model stability given enough time? ")) print('') print("""---------------------------------------------------- Please provide the file name, e.g., mydata.txt: ----------------------------------------------------""") Data_name = input("Name of your data file (Should have dimension N x (m+1), last column for predicted variable) ") #load data if Data_name[-3:] == 'txt': if int(input('Is there delimiter (,) in your txt file? ')): Data = np.loadtxt(Data_name, delimiter=',') else: Data = np.loadtxt(Data_name) elif Data_name[-3:] == 'lsx': Data = pd.read_excel(Data_name, header = None) Data = np.array(Data) else: print("Please convert data type to '.txt' or '.xlsx'") X_original = Data[:,0:-1] y_original = Data[:,-1].reshape(-1,1) m = np.shape(X_original)[1] N = np.shape(X_original)[0] if if_have_testing_data: Test_data_name = input("Please provide test dataset name: ") if Test_data_name[-3:] == 'txt': if int(input('Is there delimiter (,) in your txt file? ')): Test_data = np.loadtxt(Test_data_name, delimiter = ',') else: Test_data = np.loadtxt(Test_data_name) elif Test_data_name[-3:] == 'lsx': Test_data = pd.read_excel(Test_data_name, header = None) Test_data = np.array(Test_data) else: print("Please convert test data type to '.txt' or '.xlsx'") X_test_original = Test_data[:,0:-1] y_test_original = Test_data[:,-1].reshape(-1,1) N_test = np.shape(X_test_original)[0] else: X_test_original = None y_test_original = None """ Assess Data Property """ round_number = 0 print('') print("""---------------------------------------------------- Please provide the following information to assess data [Yes:1 No:0]: ----------------------------------------------------""") if int(input("Is there any categorical variable in your X? ")): cat = list(map(int,input("Enter a series of indicator for which variable is categorical: e.g., 1 0 0 represents the 1st variable is a categorical variable. ").strip().split()))[:m] else: cat = None if int(input("Do you have varaibles names you want to use in the figures? [Yes 1 No 0]: ")): xticks = list(map(str,input("Enter a series of x variable name: e.g., x1 x2 x3. ").strip().split()))[:m] yticks = list(input("Enter the name of y variable: ").strip().split())[:1] else: xticks = None yticks = None if int(input("Do you have a significance level to use? ")): alpha = float(input("Provide the significance level: ")) else: alpha = 0.01 if if_nonlinear == 2: if_nonlinear = nonlinearity_assess(X_original, y_original, if_plot_interrogation, cat = cat,alpha = alpha, difference = 0.4, xticks = xticks, yticks = yticks, round_number = round_number) if if_nonlinear == 0 and if_dynamic == 1: lag = int(input('The lag number you want to use to assess nonlinear dyanmics: ')) if_nonlinear_dynamic = nonlinearity_assess_dynamic(X_original, y_original, if_plot_interrogation, alpha = alpha, difference = 0.4, xticks = xticks, yticks = yticks, round_number = round_number,lag= lag) if if_nonlinear_dynamic ==1: if_nonlinear = 1 if if_multicollinear == 2: if_multicollinear = int(collinearity_assess(X_original, y_original, if_plot_interrogation, xticks = xticks, yticks = yticks, round_number = round_number)) """ Select the Model """ if int(input('Do you have a specific model in the data analytical traingle that you want to use? ')): model_name = list(map(str,input('Please provide the model name: [ALVEN/SVR/RF/EN/SPLS/RR/PLS or DALVEN or RNN or SS]. Note you can not test static and dynamic model at the same time. If you put in the static model name and then there is significant dynamics in the residual and you did not answer 0 to "do you want a dynamic model", the dyanmic model will be tested automatically after that. ').strip().split())) else: print('') print("""---------------------------------------------------- Based on the information of data characteristics, the following methods are selected: ----------------------------------------------------""") model_name = None if if_nonlinear == 1: if if_dynamic == 0 or if_dynamic == 2: print('The nonlinear model is selected:') if if_enough == 0: print('Because you have limited data, ALVEN is recommonded.') model_name = ['ALVEN'] elif if_interpretable == 1: print('Because you would like an interpretable model, ALVEN is recommonded.') model_name = ['ALVEN'] elif if_continuity == 1: print('Because you ask for continuity, ALVEN/SVR are recommonded.') model_name = ['ALVEN','SVR'] else: print('The nonlinear models, ALVEN/SVR/RF, will be tested.') model_name = ['ALVEN','SVR','RF'] if if_dynamic == 1: print('The nonlinear dynamic model is selected:') if if_enough == 0 : print('Because you have limited data, DALVEN is recommonded.') model_name = ['DALVEN'] elif if_interpretable == 1: print('Because you would like an interpretable model, DALVEN is recommonded.') model_name = ['DALVEN'] else: print('Because you have engough data and do not require interpretability, RNN is recommonded.') model_name = ['RNN'] else: if if_dynamic == 0 or if_dynamic ==2: if if_multicollinear == 0: print('There is no significant nonlinearity and multicollinearity in the data, OLS is recommonded.') model_name = ['OLS'] else: if if_spectra: print('Because you have spectral data, RR/PLS are recommonded.') model_name = ['RR','PLS'] elif if_interpretable: print('Because you want interpretability, EN/SOLS are recommonded.') model_name = ['EN','SPLS'] else: print('There is significant multicollinearity, EN/SPLS/RR/PLS are recommonded.') model_name = ['EN','SPLS','RR','PLS'] else: print('There is significant dynamics and multicolinearity, CVA/SSARX/MOSEP are recommonded.') model_name = ['SS'] """ Select Cross-Validation Strategy """ nested_flag = 0 cv_method = None one_std = 0 grouped = 0 if 'OLS' in model_name: print("") print('OLS is selected, no cross-validation is needed.') elif int(input('Do you have a specific cross-validation method that you want to use? ')): cv_method = input('Please provide the name of cross-validation method: ') if if_grouped: grouped = 1 print('Since you have grouped data, please provide the group lable of each variable in a Nx1 format.') group_name = input('Please provide the file name of the label: (e.g. label.txt) ') if group_name[-3:] == 'txt': if int(input('Is there delimiter (,) in your txt file? ')): group = np.loadtxt(group_name, delimiter=',') else: group = np.loadtxt(group_name) elif group_name[-3:] == 'lsx': group = pd.read_excel(group_name, header = None) group = np.array(group) else: print("Please convert data type to '.txt' or '.xlsx'") if if_robust==1: one_std = 1 if if_stability ==1: nested_flag = 1 else: print('') print("""---------------------------------------------------- Based on the information of data attributes, the cross-validation strategy is selected as: ----------------------------------------------------""") if if_dynamic != 1: if not if_grouped: if if_enough == 1: cv_method = 'Single' print('Single validation set is used.') else: if if_time == 1: if if_stability == 1: if if_robust == 1: cv_method = 'Re_KFold' nested_flag = 1 one_std = 1 print('Nested CV with repeated KFold in inner loop and one-std rule is selected') else: cv_method = 'Re_KFold' nested_flag = 1 print('Nested CV with repeated KFold in inner loop is selected') else: if if_robust == 1: if int(input('Do you want to select beweent KFold/MC/Re_KFold? default: Re_Kfold. ')): cv_method = input('Plese provide the CV method name: ') one_std = 1 print(cv_method + ' with one-std rule is selected.') else: one_std = 1 cv_method = 'Re_KFold' print('Repeated KFold with one-std rule is selected.') else: if int(input('Do you want to select beweent KFold/MC/Re_KFold? default: Re_Kfold. ')): cv_method = input('Plese provide the CV method name: ') print(cv_method + ' is selected.') else: cv_method = 'Re_KFold' print('Repated KFold is selected.') else: if if_robust == 1: if int(input('Do you want to select beweent KFold/MC/Re_KFold? default: Re_Kfold. ')): cv_method = input('Plese provide the CV method name: ') one_std = 1 print(cv_method + ' with one-std rule is selected.') else: one_std = 1 cv_method = 'Re_KFold' print('Repeated KFold with one-std rule is selected.') else: if int(input('Do you want to select beweent KFold/MC/Re_KFold? default: Re_Kfold. ')): cv_method = input('Plese provide the CV method name: ') print(cv_method + ' is selected.') else: cv_method = 'Re_KFold' print('Repated KFold is selected.') else: grouped = 1 print('Since you have grouped data, please provide the group lable of each variable in a Nx1 format.') group_name = input('Please provide the file name of the label: (e.g. label.txt) ') if group_name[-3:] == 'txt': if int(input('Is there delimiter (,) in your txt file? ')): group = np.loadtxt(group_name, delimiter=',') else: group = np.loadtxt(group_name) elif group_name[-3:] == 'lsx': group = pd.read_excel(group_name, header = None) group = np.array(group) else: print("Please convert data type to '.txt' or '.xlsx'") if if_enough == 1: cv_method = 'Single_group' print('Single grouped CV is selected') else: if if_time == 1: if if_stability == 1: if if_robust == 1: one_std = 1 nested_flag = 1 cv_method = 'GroupKFold' print('Nested grouped Kfold with one std rule is selected.') else: nested_flag = 1 cv_method = 'GroupKFold' print('Nested grouped Kfold is selected.') else: if if_robust == 1: one_std = 1 cv_method = 'GroupKFold' print('Grouped Kfold with one std rule is selected.') else: cv_method = 'GroupKFold' print('Grouped Kfold is selected.') else: if if_robust == 1: one_std = 1 cv_method = 'GroupKFold' print('Grouped Kfold with one std rule is selected.') else: cv_method = 'GroupKFold' print('Grouped Kfold is selected.') else: if model_name == ['SS']: print('MATLAB/ADAPTx packges with information criterion will be used') else: if if_enough == 1: cv_method = 'Single_ordered' print('Single validation is used for time series modeling.') else: if if_time: if if_robust: cv_method = 'Timeseries' one_std = 1 print('Cross-validation for time series with one std rule is selected.') else: cv_method = 'Timeseries' print('Cross-validation for time series is selected.') else: cv_method = 'IC' print('Information criteria is selected.') if if_robust: one_std = 1 print('') print("""---------------------------------------------------- Start Model Fitting ----------------------------------------------------""") round_number = 1 from copy import deepcopy ########################### data preprocessing X=deepcopy(X_original) y=deepcopy(y_original) scaler_x = StandardScaler(with_mean=True, with_std=True) scaler_x.fit(X) X_scale = scaler_x.transform(X) scaler_y = StandardScaler(with_mean=True, with_std=True) scaler_y.fit(y) y_scale = scaler_y.transform(y) if X_test_original is not None: X_test = deepcopy(X_test_original) y_test = deepcopy(y_test_original) X_test_scale = scaler_x.transform(X_test) y_test_scale = scaler_y.transform(y_test) else: X_test = X y_test = y X_test_scale =X_scale y_test_scale =y_scale ############################ model fitting 1st round fitting_result = {} if 'OLS' in model_name: from regression_models import OLS_fitting final_model, model_params, mse_train, mse_test, yhat_train, yhat_test = OLS_fitting(X_scale, y_scale, X_test_scale, y_test_scale, 0) fitting_result['OLS'] = {'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test} selected_model = 'OLS' yhat_test = scaler_y.inverse_transform(yhat_test) _, if_dynamic = residual_analysis(X_test, y_test, yhat_test, alpha = alpha, round_number = round_number) if if_dynamic != 0: print('The first round static fitting is done, check if nonlinear model is neccesarry') if if_dynamic: print('There is significant dynamic in the residual, dyanmic model will be fitted in the 2nd round') round_number = 2 else: print('--------------Analysis Is Done--------------') else: print('--------------Analysis Is Done--------------') elif if_dynamic == 2: if not one_std: #use static cross-validation for this round and traditional cv import cv_final as cv K_fold = int(input('Number of K-fold you want to use, or the fold number you want to use in single validation 1/K, if not known input 5: ')) Nr = int(input('Number of repetition (if have in CV) you want to use, if not known input 10: ')) alpha_num = int(input('Number of penalty weight you want to consider in RR/EN/ALVEN, if not known input 20: ')) if not nested_flag: print('------Model Construction------') val_err = np.zeros(len(model_name)) index = 0 fitting1_result_trial = {} for model_index in model_name: if model_index == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv.CV_mse(model_index, X, y, X_test, y_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) fitting1_result_trial[model_index] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val, 'final_list':final_list} val_err[index] = MSE_val elif model_index == 'SVR' or model_index == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(model_index, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting1_result_trial[model_index] = {'model_hyper':model_hyper,'final_model':final_model, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val} val_err[index] = MSE_val else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(model_index, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting1_result_trial[model_index] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val': MSE_val} val_err[index] = MSE_val index += 1 if len(model_name) > 1: print('Select the best model from the small candidate pool based on validation error:') selected_model = model_name[np.argmin(val_err)] print('*****'+selected_model + ' is selected.'+'*****') else: selected_model = model_name[0] fitting_result[selected_model]=fitting1_result_trial[selected_model] yhat_test = scaler_y.inverse_transform(fitting_result[selected_model]['yhat_test']) _, if_dynamic = residual_analysis(X_test, y_test, yhat_test, alpha = alpha, round_number = round_number) print('The first round static fitting is done, check if nonlinear model is neccesarry') if if_dynamic: print('There is significant dynamic in the residual, dyanmic model will be fitted in the 2nd round') round_number = 2 else: print('--------------Analysis Is Done--------------') else: print('Nested CV is used and the model selection if necessary is based on testing set in the outter loop') if not grouped: num_outter = int(input('How many number of outter loop you want to use in Nested CV? if not known input 10: ')) print('------Model Construction------') from sklearn.model_selection import train_test_split test_nest_err = np.zeros((len(model_name),num_outter)) for index_out in range(num_outter): X_nest, X_nest_test, y_nest, y_nest_test = train_test_split(X, y, test_size=1/K_fold, random_state= index_out) X_nest_scale, X_nest_scale_test, y_nest_scale, y_nest_scale_test = train_test_split(X_scale, y_scale, test_size=1/K_fold, random_state= index_out) index = 0 for model_index in model_name: if model_index == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv.CV_mse(model_index, X_nest, y_nest, X_nest_test, y_nest_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) test_nest_err[index,index_out] = mse_test elif model_index == 'SVR' or model_index == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(model_index, X_nest_scale, y_nest_scale, X_nest_scale_test, y_nest_scale_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(model_index, X_nest_scale, y_nest_scale, X_nest_scale_test, y_nest_scale_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test index += 1 print('The nested CV testing MSE result:') import matplotlib.pyplot as plt plt.figure() pos = [i+1 for i in range(len(model_name))] ax=plt.subplot(111) plt.violinplot(np.transpose(test_nest_err)) ax.set_xticks(pos) ax.set_xticklabels(model_name) ax.set_title('Testing MSE distribution using nested CV') if len(model_name) > 1: print('Select the best model from the small candidate pool based on nested test error:') selected_model = model_name[np.argmin(np.mean(test_nest_err,axis=1))] print('*****'+selected_model + ' is selected.*****') else: selected_model = model_name[0] print('Final model fitting') if selected_model == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv.CV_mse(selected_model, X, y, X_test, y_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val, 'final_list':final_list} elif selected_model == 'SVR' or selected_model == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val} else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val': MSE_val} yhat_test = scaler_y.inverse_transform(yhat_test) _, if_dynamic = residual_analysis(X_test, y_test, yhat_test, alpha = alpha, round_number = round_number) print('The first round static fitting is done, check if nonlinear model is neccesarry') if if_dynamic: print('There is significant dynamic in the residual, dyanmic model will be fitted in the 2nd round') round_number = 2 else: print('--------------Analysis Is Done--------------') else: from sklearn.model_selection import LeaveOneGroupOut print('Leave one group out will be used in the outer loop') print('------Model Construction------') test_nest_err = np.zeros((len(model_name), len(np.unique(group)))) logo = LeaveOneGroupOut() index_out = 0 for train, test in logo.split(X, y.flatten(), groups=group.flatten()): index = 0 for model_index in model_name: if model_index == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv.CV_mse(model_index, X[train], y[train], X[test], y[test], cv_type = cv_method, group = group[train], K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) test_nest_err[index,index_out] = mse_test elif model_index == 'SVR' or model_index == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(model_index, X_scale[train], y_scale[train], X_scale[test], y_scale[test], cv_type = cv_method, group = group[train], K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(model_index, X_scale[train], y_scale[train], X_scale[test], y_scale[test], cv_type = cv_method, group = group[train], K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test index += 1 index_out +=1 print('The nested CV testing MSE result:') import matplotlib.pyplot as plt plt.figure() pos = [i+1 for i in range(len(model_name))] ax=plt.subplot(111) plt.violinplot(np.transpose(test_nest_err)) ax.set_xticks(pos) ax.set_xticklabels(model_name) ax.set_title('Testing MSE distribution using nested CV') if len(model_name) > 1: print('Select the best model from the small candidate pool based on nested test error:') selected_model = model_name[np.argmin(np.mean(test_nest_err,axis=1))] print('*****'+selected_model + ' is selected.*****') else: selected_model = model_name[0] print('------Final model fitting-------') if selected_model == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv.CV_mse(selected_model, X, y, X_test, y_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val, 'final_list':final_list} elif selected_model == 'SVR' or selected_model == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val} else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val': MSE_val} yhat_test = scaler_y.inverse_transform(yhat_test) _, if_dynamic = residual_analysis(X_test, y_test, yhat_test, alpha = alpha, round_number = round_number) print('The first round static fitting is done, check if nonlinear model is neccesarry') if if_dynamic: print('There is significant dynamic in the residual, dyanmic model will be fitted in the 2nd round') round_number = 2 else: print('--------------Analysis Is Done--------------') else: #use static cross-validation for this round and traditional cv import cv_final_onestd as cv_std K_fold = int(input('Number of K-fold you want to use, or the fold number you want to use in single validation 1/K, if not known input 5: ')) Nr = int(input('Number of repetition (if have in CV) you want to use, if not known input 10: ')) alpha_num = int(input('Number of penalty weight you want to consider in RR/EN/ALVEN, if not known input 20: ')) if not nested_flag: print('------Model Construction------') val_err = np.zeros(len(model_name)) index = 0 fitting1_result_trial = {} for model_index in model_name: if model_index == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv_std.CV_mse(model_index, X, y, X_test, y_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) fitting1_result_trial[model_index] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val, 'final_list':final_list} val_err[index] = MSE_val elif model_index == 'SVR' or model_index == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(model_index, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting1_result_trial[model_index] = {'model_hyper':model_hyper,'final_model':final_model, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val} val_err[index] = MSE_val else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(model_index, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting1_result_trial[model_index] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val': MSE_val} val_err[index] = MSE_val index += 1 if len(model_name) > 1: print('Select the best model from the small candidate pool based on validation error:') selected_model = model_name[np.argmin(val_err)] print('*****'+selected_model + ' is selected.'+'*****') else: selected_model = model_name[0] fitting_result[selected_model]=fitting1_result_trial[selected_model] yhat_test = scaler_y.inverse_transform(fitting_result[selected_model]['yhat_test']) _, if_dynamic = residual_analysis(X_test, y_test, yhat_test, alpha = alpha, round_number = round_number) print('The first round static fitting is done, check if nonlinear model is neccesarry') if if_dynamic: print('There is significant dynamic in the residual, dyanmic model will be fitted in the 2nd round') round_number = 2 else: print('--------------Analysis Is Done--------------') else: print('Nested CV is used and the model selection if necessary is based on testing set in the outter loop') if not grouped: num_outter = int(input('How many number of outter loop you want to use in Nested CV? if not known input 10: ')) print('------Model Construction------') from sklearn.model_selection import train_test_split test_nest_err = np.zeros((len(model_name),num_outter)) for index_out in range(num_outter): X_nest, X_nest_test, y_nest, y_nest_test = train_test_split(X, y, test_size=1/K_fold, random_state= index_out) X_nest_scale, X_nest_scale_test, y_nest_scale, y_nest_scale_test = train_test_split(X_scale, y_scale, test_size=1/K_fold, random_state= index_out) index = 0 for model_index in model_name: if model_index == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv_std.CV_mse(model_index, X_nest, y_nest, X_nest_test, y_nest_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) test_nest_err[index,index_out] = mse_test elif model_index == 'SVR' or model_index == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(model_index, X_nest_scale, y_nest_scale, X_nest_scale_test, y_nest_scale_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(model_index, X_nest_scale, y_nest_scale, X_nest_scale_test, y_nest_scale_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test index += 1 print('The nested CV testing MSE result:') import matplotlib.pyplot as plt plt.figure() pos = [i+1 for i in range(len(model_name))] ax=plt.subplot(111) plt.violinplot(np.transpose(test_nest_err)) ax.set_xticks(pos) ax.set_xticklabels(model_name) ax.set_title('Testing MSE distribution using nested CV') if len(model_name) > 1: print('Select the best model from the small candidate pool based on nested test error:') selected_model = model_name[np.argmin(np.mean(test_nest_err,axis=1))] print('*****'+selected_model + ' is selected.*****') else: selected_model = model_name[0] print('Final model fitting') if selected_model == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv_std.CV_mse(selected_model, X, y, X_test, y_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val, 'final_list':final_list} elif selected_model == 'SVR' or selected_model == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val} else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val': MSE_val} yhat_test = scaler_y.inverse_transform(yhat_test) _, if_dynamic = residual_analysis(X_test, y_test, yhat_test, alpha = alpha, round_number = round_number) print('The first round static fitting is done, check if nonlinear model is neccesarry') if if_dynamic: print('There is significant dynamic in the residual, dyanmic model will be fitted in the 2nd round') round_number = 2 else: print('--------------Analysis Is Done--------------') else: from sklearn.model_selection import LeaveOneGroupOut print('Leave one group out will be used in the outer loop') print('------Model Construction------') test_nest_err = np.zeros((len(model_name), len(np.unique(group)))) logo = LeaveOneGroupOut() index_out = 0 for train, test in logo.split(X, y.flatten(), groups=group.flatten()): index = 0 for model_index in model_name: if model_index == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv_std.CV_mse(model_index, X[train], y[train], X[test], y[test], cv_type = cv_method, group = group[train], K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) test_nest_err[index,index_out] = mse_test elif model_index == 'SVR' or model_index == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(model_index, X_scale[train], y_scale[train], X_scale[test], y_scale[test], cv_type = cv_method, group = group[train], K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(model_index, X_scale[train], y_scale[train], X_scale[test], y_scale[test], cv_type = cv_method, group = group[train], K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test index += 1 index_out +=1 print('The nested CV testing MSE result:') import matplotlib.pyplot as plt plt.figure() pos = [i+1 for i in range(len(model_name))] ax=plt.subplot(111) plt.violinplot(np.transpose(test_nest_err)) ax.set_xticks(pos) ax.set_xticklabels(model_name) ax.set_title('Testing MSE distribution using nested CV') if len(model_name) > 1: print('Select the best model from the small candidate pool based on nested test error:') selected_model = model_name[np.argmin(np.mean(test_nest_err,axis=1))] print('*****'+selected_model + ' is selected.*****') else: selected_model = model_name[0] print('------Final model fitting-------') if selected_model == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv_std.CV_mse(selected_model, X, y, X_test, y_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val, 'final_list':final_list} elif selected_model == 'SVR' or selected_model == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val} else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val': MSE_val} yhat_test = scaler_y.inverse_transform(yhat_test) _, if_dynamic = residual_analysis(X_test, y_test, yhat_test, alpha = alpha, round_number = round_number) print('The first round static fitting is done, check if nonlinear model is neccesarry') if if_dynamic: print('There is significant dynamic in the residual, dyanmic model will be fitted in the 2nd round') round_number = 2 else: print('--------------Analysis Is Done--------------') elif if_dynamic == 0: if not one_std: #use static cross-validation for this round and traditional cv import cv_final as cv K_fold = int(input('Number of K-fold you want to use, or the fold number you want to use in single validation 1/K, if not known input 5: ')) Nr = int(input('Number of repetition (if have in CV) you want to use, if not known input 10: ')) alpha_num = int(input('Number of penalty weight you want to consider in RR/EN/ALVEN, if not known input 20: ')) if not nested_flag: print('------Model Construction------') val_err = np.zeros(len(model_name)) index = 0 fitting1_result_trial = {} for model_index in model_name: if model_index == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv.CV_mse(model_index, X, y, X_test, y_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) fitting1_result_trial[model_index] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val, 'final_list':final_list} val_err[index] = MSE_val elif model_index == 'SVR' or model_index == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(model_index, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting1_result_trial[model_index] = {'model_hyper':model_hyper,'final_model':final_model, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val} val_err[index] = MSE_val else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(model_index, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting1_result_trial[model_index] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val': MSE_val} val_err[index] = MSE_val index += 1 if len(model_name) > 1: print('Select the best model from the small candidate pool based on validation error:') selected_model = model_name[np.argmin(val_err)] print('*****'+selected_model + ' is selected.'+'*****') else: selected_model = model_name[0] fitting_result[selected_model]=fitting1_result_trial[selected_model] yhat_test = scaler_y.inverse_transform(fitting_result[selected_model]['yhat_test']) residual_analysis(X_test, y_test, yhat_test, alpha = alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: print('Nested CV is used and the model selection if necessary is based on testing set in the outter loop') if not grouped: num_outter = int(input('How many number of outter loop you want to use in Nested CV? if not known input 10: ')) print('------Model Construction------') from sklearn.model_selection import train_test_split test_nest_err = np.zeros((len(model_name),num_outter)) for index_out in range(num_outter): X_nest, X_nest_test, y_nest, y_nest_test = train_test_split(X, y, test_size=1/K_fold, random_state= index_out) X_nest_scale, X_nest_scale_test, y_nest_scale, y_nest_scale_test = train_test_split(X_scale, y_scale, test_size=1/K_fold, random_state= index_out) index = 0 for model_index in model_name: if model_index == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv.CV_mse(model_index, X_nest, y_nest, X_nest_test, y_nest_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) test_nest_err[index,index_out] = mse_test elif model_index == 'SVR' or model_index == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(model_index, X_nest_scale, y_nest_scale, X_nest_scale_test, y_nest_scale_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(model_index, X_nest_scale, y_nest_scale, X_nest_scale_test, y_nest_scale_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test index += 1 print('The nested CV testing MSE result:') import matplotlib.pyplot as plt plt.figure() pos = [i+1 for i in range(len(model_name))] ax=plt.subplot(111) plt.violinplot(np.transpose(test_nest_err)) ax.set_xticks(pos) ax.set_xticklabels(model_name) ax.set_title('Testing MSE distribution using nested CV') if len(model_name) > 1: print('Select the best model from the small candidate pool based on nested test error:') selected_model = model_name[np.argmin(np.mean(test_nest_err,axis=1))] print('*****'+selected_model + ' is selected.*****') else: selected_model = model_name[0] print('Final model fitting') if selected_model == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv.CV_mse(selected_model, X, y, X_test, y_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val, 'final_list':final_list} elif selected_model == 'SVR' or selected_model == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val} else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val': MSE_val} yhat_test = scaler_y.inverse_transform(yhat_test) residual_analysis(X_test, y_test, yhat_test, alpha = alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: from sklearn.model_selection import LeaveOneGroupOut print('Leave one group out will be used in the outer loop') print('------Model Construction------') test_nest_err = np.zeros((len(model_name), len(np.unique(group)))) logo = LeaveOneGroupOut() index_out = 0 for train, test in logo.split(X, y.flatten(), groups=group.flatten()): index = 0 for model_index in model_name: if model_index == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv.CV_mse(model_index, X[train], y[train], X[test], y[test], cv_type = cv_method, group = group[train], K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) test_nest_err[index,index_out] = mse_test elif model_index == 'SVR' or model_index == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(model_index, X_scale[train], y_scale[train], X_scale[test], y_scale[test], cv_type = cv_method, group = group[train], K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(model_index, X_scale[train], y_scale[train], X_scale[test], y_scale[test], cv_type = cv_method, group = group[train], K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test index += 1 index_out +=1 print('The nested CV testing MSE result:') import matplotlib.pyplot as plt plt.figure() pos = [i+1 for i in range(len(model_name))] ax=plt.subplot(111) plt.violinplot(np.transpose(test_nest_err)) ax.set_xticks(pos) ax.set_xticklabels(model_name) ax.set_title('Testing MSE distribution using nested CV') if len(model_name) > 1: print('Select the best model from the small candidate pool based on nested test error:') selected_model = model_name[np.argmin(np.mean(test_nest_err,axis=1))] print('*****'+selected_model + ' is selected.*****') else: selected_model = model_name[0] print('------Final model fitting-------') if selected_model == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv.CV_mse(selected_model, X, y, X_test, y_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val, 'final_list':final_list} elif selected_model == 'SVR' or selected_model == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val} else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val': MSE_val} yhat_test = scaler_y.inverse_transform(yhat_test) residual_analysis(X_test, y_test, yhat_test, alpha = alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: #use static cross-validation for this round and traditional cv import cv_final_onestd as cv_std K_fold = int(input('Number of K-fold you want to use, or the fold number you want to use in single validation 1/K, if not known input 5: ')) Nr = int(input('Number of repetition (if have in CV) you want to use, if not known input 10: ')) alpha_num = int(input('Number of penalty weight you want to consider in RR/EN/ALVEN, if not known input 20: ')) if not nested_flag: print('------Model Construction------') val_err = np.zeros(len(model_name)) index = 0 fitting1_result_trial = {} for model_index in model_name: if model_index == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv_std.CV_mse(model_index, X, y, X_test, y_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) fitting1_result_trial[model_index] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val, 'final_list':final_list} val_err[index] = MSE_val elif model_index == 'SVR' or model_index == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(model_index, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting1_result_trial[model_index] = {'model_hyper':model_hyper,'final_model':final_model, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val} val_err[index] = MSE_val else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(model_index, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting1_result_trial[model_index] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val': MSE_val} val_err[index] = MSE_val index += 1 if len(model_name) > 1: print('Select the best model from the small candidate pool based on validation error:') selected_model = model_name[np.argmin(val_err)] print('*****'+selected_model + ' is selected.'+'*****') else: selected_model = model_name[0] fitting_result[selected_model]=fitting1_result_trial[selected_model] yhat_test = scaler_y.inverse_transform(fitting_result[selected_model]['yhat_test']) residual_analysis(X_test, y_test, yhat_test, alpha = alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: print('Nested CV is used and the model selection if necessary is based on testing set in the outter loop') if not grouped: num_outter = int(input('How many number of outter loop you want to use in Nested CV? if not known input 10: ')) print('------Model Construction------') from sklearn.model_selection import train_test_split test_nest_err = np.zeros((len(model_name),num_outter)) for index_out in range(num_outter): X_nest, X_nest_test, y_nest, y_nest_test = train_test_split(X, y, test_size=1/K_fold, random_state= index_out) X_nest_scale, X_nest_scale_test, y_nest_scale, y_nest_scale_test = train_test_split(X_scale, y_scale, test_size=1/K_fold, random_state= index_out) index = 0 for model_index in model_name: if model_index == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv_std.CV_mse(model_index, X_nest, y_nest, X_nest_test, y_nest_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) test_nest_err[index,index_out] = mse_test elif model_index == 'SVR' or model_index == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(model_index, X_nest_scale, y_nest_scale, X_nest_scale_test, y_nest_scale_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(model_index, X_nest_scale, y_nest_scale, X_nest_scale_test, y_nest_scale_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test index += 1 print('The nested CV testing MSE result:') import matplotlib.pyplot as plt plt.figure() pos = [i+1 for i in range(len(model_name))] ax=plt.subplot(111) plt.violinplot(np.transpose(test_nest_err)) ax.set_xticks(pos) ax.set_xticklabels(model_name) ax.set_title('Testing MSE distribution using nested CV') if len(model_name) > 1: print('Select the best model from the small candidate pool based on nested test error:') selected_model = model_name[np.argmin(np.mean(test_nest_err,axis=1))] print('*****'+selected_model + ' is selected.*****') else: selected_model = model_name[0] print('Final model fitting') if selected_model == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv_std.CV_mse(selected_model, X, y, X_test, y_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val, 'final_list':final_list} elif selected_model == 'SVR' or selected_model == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val} else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val': MSE_val} yhat_test = scaler_y.inverse_transform(yhat_test) residual_analysis(X_test, y_test, yhat_test, alpha = alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: from sklearn.model_selection import LeaveOneGroupOut print('Leave one group out will be used in the outer loop') print('------Model Construction------') test_nest_err = np.zeros((len(model_name), len(np.unique(group)))) logo = LeaveOneGroupOut() index_out = 0 for train, test in logo.split(X, y.flatten(), groups=group.flatten()): index = 0 for model_index in model_name: if model_index == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv_std.CV_mse(model_index, X[train], y[train], X[test], y[test], cv_type = cv_method, group = group[train], K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) test_nest_err[index,index_out] = mse_test elif model_index == 'SVR' or model_index == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(model_index, X_scale[train], y_scale[train], X_scale[test], y_scale[test], cv_type = cv_method, group = group[train], K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(model_index, X_scale[train], y_scale[train], X_scale[test], y_scale[test], cv_type = cv_method, group = group[train], K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) test_nest_err[index,index_out] = mse_test index += 1 index_out +=1 print('The nested CV testing MSE result:') import matplotlib.pyplot as plt plt.figure() pos = [i+1 for i in range(len(model_name))] ax=plt.subplot(111) plt.violinplot(np.transpose(test_nest_err)) ax.set_xticks(pos) ax.set_xticklabels(model_name) ax.set_title('Testing MSE distribution using nested CV') if len(model_name) > 1: print('Select the best model from the small candidate pool based on nested test error:') selected_model = model_name[np.argmin(np.mean(test_nest_err,axis=1))] print('*****'+selected_model + ' is selected.*****') else: selected_model = model_name[0] print('------Final model fitting-------') if selected_model == 'ALVEN': model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val, final_list = cv_std.CV_mse(selected_model, X, y, X_test, y_test, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num, label_name=True) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val, 'final_list':final_list} elif selected_model == 'SVR' or selected_model == 'RF': model_hyper,final_model, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val':MSE_val} else: model_hyper,final_model, model_params, mse_train, mse_test, yhat_train, yhat_test, MSE_val = cv_std.CV_mse(selected_model, X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, group = group, K_fold = K_fold, Nr= Nr, alpha_num=alpha_num) fitting_result[selected_model] = {'model_hyper':model_hyper,'final_model':final_model, 'model_params':model_params, 'mse_train':mse_train, 'mse_test':mse_test, 'yhat_train':yhat_train, 'yhat_test':yhat_test, 'MSE_val': MSE_val} yhat_test = scaler_y.inverse_transform(yhat_test) residual_analysis(X_test, y_test, yhat_test, alpha = alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: #use dynamic model in the first round steps = int(input('Number of steps you want to test for the future prediction? ')) if if_nonlinear == 1: if model_name == ['RNN']: selected_model = 'RNN' import timeseries_regression_RNN as t_RNN print('Please input the following numbers/types from the smallest to the largest: 1 3 5 or linear relu') activation = list(map(str,input("Types of activation function you want to use (e.g. linear, relu, tanh?): ").strip().split())) num_layers = list(map(int,input("Numbers of layers you want to test: ").strip().split())) state_size = list(map(int,input("Numbers of states you want to test: ").strip().split())) cell_type = list(map(str,input("Types of cells you want to use (e.g. regular, LSTM, GRU?): ").strip().split())) print('Please provide the following training parameter.') batch_size = int(input("Number of batch used in training you want to test: ")) epoch_overlap = input('The overlap between different batch? The number indicate the space between two training, 0 means no space. If no overlap type None. ') if epoch_overlap == 'None': epoch_overlap = None else: epoch_overlap = int(epoch_overlap) num_steps = int(input("Number of steps back in past of RNN you want to use : ")) max_checks_without_progress = int(input('How many steps for no improvment for early stopping?: ')) learning_rate = float(input('Learning rate? ')) lambda_l2_reg = float(input('Penalty weight of L2 norm? ')) num_epochs = float(input('Maximum number of epochs? ' )) if cv_method == 'IC': import IC if one_std: print('BIC is recommended to prefer a simplier model for robustness.') IC_method = input('The type of information criterion you want to use (AIC, AICc, BIC), if not known type None, the criterion will be selected between AIC/AICc. ') if IC_method == 'None': IC_method = None print('------Model Construction------') RNN_hyper, RNN_model, yhat_train_RNN, yhat_val_RNN, yhat_test_RNN, mse_train_RNN, mse_val_RNN, mse_test_RNN= IC.IC_mse('RNN', X_scale, y_scale, X_test_scale, y_test_scale, cv_type = IC_method, cell_type = cell_type,\ activation = activation, num_layers=num_layers,state_size=state_size,num_steps=num_steps, \ batch_size=batch_size,epoch_overlap= epoch_overlap, learning_rate=learning_rate, lambda_l2_reg=lambda_l2_reg,\ num_epochs=num_epochs, max_checks_without_progress = max_checks_without_progress,round_number = str(round_number)) else: K_fold = int(input('Number of K-fold you want to use, or the fold number you want to use in single validation 1/K, if not known input 5: ')) Nr = int(input('Number of repetition (if have in CV) you want to use, if not known input 10: ')) print('------Model Construction------') if not one_std: import cv_final as cv RNN_hyper, RNN_model, yhat_train_RNN, yhat_val_RNN, yhat_test_RNN, mse_train_RNN, mse_val_RNN, mse_test_RNN= cv.CV_mse('RNN', X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, K_fold = K_fold, Nr= Nr, cell_type = cell_type,group=group,\ activation = activation, num_layers=num_layers,state_size=state_size,num_steps=num_steps, \ batch_size=batch_size,epoch_overlap= epoch_overlap, learning_rate=learning_rate, lambda_l2_reg=lambda_l2_reg,\ num_epochs=num_epochs, max_checks_without_progress = max_checks_without_progress,round_number = str(round_number)) else: import cv_final_onestd as cv_std print('CV with ons-std rule is used for RNN model') RNN_hyper, RNN_model, yhat_train_RNN, yhat_val_RNN, yhat_test_RNN, mse_train_RNN, mse_val_RNN, mse_test_RNN= cv_std.CV_mse('RNN', X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, K_fold = K_fold, Nr= Nr, cell_type = cell_type,group=group,\ activation = activation, num_layers=num_layers,state_size=state_size,num_steps=num_steps, \ batch_size=batch_size,epoch_overlap= epoch_overlap, learning_rate=learning_rate, lambda_l2_reg=lambda_l2_reg,\ num_epochs=num_epochs, max_checks_without_progress = max_checks_without_progress,round_number = str(round_number)) #k-step prediction num_train=round(X.shape[0]*RNN_hyper['early_stop']['train_ratio']) print('K-step prediction for training') train_y_prediction_kstep, train_loss_kstep = t_RNN.timeseries_RNN_feedback_test(X_scale[:num_train], y_scale[:num_train], X_scale[:num_train],y_scale[:num_train], kstep = steps, cell_type=RNN_hyper['cell_type'],activation = RNN_hyper['activation'], state_size = RNN_hyper['state_size'],\ num_layers = RNN_hyper['num_layers'], location=RNN_model, plot=True, round_number = str(round_number)) print('K-step prediction for testing') test_y_prediction_kstep, test_loss_kstep = t_RNN.timeseries_RNN_feedback_test(X_scale[:num_train], y_scale[:num_train], X_test_scale,y_test_scale, kstep = steps, cell_type=RNN_hyper['cell_type'],activation = RNN_hyper['activation'], state_size = RNN_hyper['state_size'],\ num_layers = RNN_hyper['num_layers'], location=RNN_model, plot=True, round_number = str(round_number)) scaler_y_RNN = StandardScaler(with_mean=True, with_std=True) scaler_y_RNN.fit(y_scale[:num_train]) yhat_test_RNN = scaler_y_RNN.inverse_transform(yhat_test_RNN) residual_analysis(X_test_scale, y_test_scale, yhat_test_RNN, alpha = alpha, round_number = round_number) fitting_result[selected_model] = {'model_hyper':RNN_hyper,'final_model':RNN_model, 'mse_train':mse_train_RNN, 'mse_val':mse_val_RNN, 'mse_test':mse_test_RNN, 'yhat_train':yhat_train_RNN, 'yhat_val':yhat_val_RNN, 'yhat_test':yhat_test_RNN, 'MSE_val': MSE_val} print('--------------Analysis Is Done--------------') else: import regression_models as rm alpha_num = int(input('Number of penalty weight you want to consider in DALVEN, if not known input 20: ')) lag = list(map(int,input("Lists of numbers of lags you want to consider in DALVEN: (e.g. 1 2 3) ").strip().split())) degree = list(map(int,input("Orders of nonlinear mapping considered in DALVEN: (choose to include 1 2 3) ").strip().split())) if int(input('Do you want to test both DALVEN-full/DALVEN? (Yes: 1, No: 0): ')): if cv_method == 'IC': import IC if one_std: print('BIC is recommended to prefer a simplier model for robustness.') IC_method = input('The type of information criterion you want to use (AIC, AICc, BIC), if not known type None, the criterion will be selected between AIC/AICc. ') print('------Model Construction------') DALVEN_hyper,DALVEN_model, DALVEN_params, mse_train_DALVEN, mse_test_DALVEN, yhat_train_DALVEN, yhat_test_DALVEN, MSE_v_DALVEN, final_list = IC.IC_mse('DALVEN', X, y, X_test, y_test, cv_type = IC_method, alpha_num=alpha_num, lag=lag, degree=degree, label_name=True, trans_type= 'auto') DALVEN_full_hyper,DALVEN_full_model, DALVEN_full_params, mse_train_DALVEN_full, mse_test_DALVEN_full, yhat_train_DALVEN_full, yhat_test_DALVEN_full, MSE_v_DALVEN_full, final_list_full = IC.IC_mse('DALVEN_full_nonlinear', X, y, X_test, y_test, cv_type = IC_method, alpha_num=alpha_num, lag=lag, degree=degree, label_name=True, trans_type= 'auto') else: #using validation set if not one_std: import cv_final as cv K_fold = int(input('Number of K-fold you want to use, or the fold number you want to use in single validation 1/K, if not known input 5: ')) Nr = int(input('Number of repetition (if have in CV) you want to use, if not known input 10: ')) print('------Model Construction------') DALVEN_hyper,DALVEN_model, DALVEN_params, mse_train_DALVEN, mse_test_DALVEN, yhat_train_DALVEN, yhat_test_DALVEN, MSE_v_DALVEN, final_list = cv.CV_mse('DALVEN', X, y, X_test, y_test, cv_type = cv_method, K_fold = K_fold, Nr= Nr, \ alpha_num=alpha_num, label_name=True, trans_type= 'auto',degree=degree,lag = lag) DALVEN_full_hyper,DALVEN_full_model, DALVEN_full_params, mse_train_DALVEN_full, mse_test_DALVEN_full, yhat_train_DALVEN_full, yhat_test_DALVEN_full, MSE_v_DALVEN_full, final_list_full = cv.CV_mse('DALVEN_full_nonlinear', X, y, X_test, y_test, cv_type = cv_method, K_fold = K_fold, Nr= Nr, \ alpha_num=alpha_num, label_name=True, trans_type= 'auto',degree=degree,lag = lag) else: print('CV with ons-std rule is used for DALVEN model') import cv_final_onestd as cv_std K_fold = int(input('Number of K-fold you want to use, or the fold number you want to use in single validation 1/K, if not known input 5: ')) Nr = int(input('Number of repetition (if have in CV) you want to use, if not known input 10: ')) print('------Model Construction------') DALVEN_hyper,DALVEN_model, DALVEN_params, mse_train_DALVEN, mse_test_DALVEN, yhat_train_DALVEN, yhat_test_DALVEN, MSE_v_DALVEN, final_list = cv_std.CV_mse('DALVEN', X, y, X_test, y_test, cv_type = cv_method, K_fold = K_fold, Nr= Nr, \ alpha_num=alpha_num, label_name=True, trans_type= 'auto',degree=degree,lag = lag) DALVEN_full_hyper,DALVEN_full_model, DALVEN_full_params, mse_train_DALVEN_full, mse_test_DALVEN_full, yhat_train_DALVEN_full, yhat_test_DALVEN_full, MSE_v_DALVEN_full, final_list_full = cv_std.CV_mse('DALVEN_full_nonlinear', X, y, X_test, y_test, cv_type = cv_method, K_fold = K_fold, Nr= Nr, \ alpha_num=alpha_num, label_name=True, trans_type= 'auto',degree=degree,lag = lag) ##select the method if MSE_v_DALVEN <= MSE_v_DALVEN_full: selected_model = 'DALVEN' else: selected_model = 'DALVEN_full_nonlinear' print('Based on the ' + cv_method +', ' + selected_model +' is selected.') #DALVEN model evaluation after choosing the method if selected_model == 'DALVEN': DALVEN_mse_test_multi, DALVEN_yhat_test_multi= rm.DALVEN_testing_kstep(X, y, X_test, y_test, DALVEN_model,DALVEN_hyper['retain_index'], DALVEN_hyper['degree'], DALVEN_hyper['lag'] , steps,trans_type = 'auto',plot=True,round_number = str(round_number)) DALVEN_mse_train_multi, DALVEN_yhat_train_multi= rm.DALVEN_testing_kstep(X, y, X, y, DALVEN_model,DALVEN_hyper['retain_index'], DALVEN_hyper['degree'], DALVEN_hyper['lag'] , steps,trans_type = 'auto',plot=True,round_number = str(round_number)) fitting_result[selected_model] = {'model_hyper':DALVEN_hyper,'final_model':DALVEN_model, 'model_params':DALVEN_params , 'mse_train':mse_train_DALVEN, 'mse_val':MSE_v_DALVEN, 'mse_test':mse_test_DALVEN, 'yhat_train':yhat_train_DALVEN, 'yhat_test':yhat_test_DALVEN, 'final_list': final_list} lag_number = DALVEN_hyper['lag'] scalery = StandardScaler() scalery.fit(y[lag_number:]) yhat_test_DALVEN=scalery.inverse_transform(yhat_test_DALVEN) residual_analysis(X_test[lag_number:], y_test[lag_number:],yhat_test_DALVEN, alpha =alpha, round_number = round_number) else: DALVEN_full_mse_test_multi, DALVEN_full_yhat_test_multi= rm.DALVEN_testing_kstep_full_nonlinear(X, y, X_test, y_test, DALVEN_full_model,DALVEN_full_hyper['retain_index'], DALVEN_full_hyper['degree'], DALVEN_full_hyper['lag'] , steps ,trans_type = 'auto', plot=True,round_number = str(round_number)) DALVEN_full_mse_train_multi, DALVEN_full_yhat_train_multi= rm.DALVEN_testing_kstep_full_nonlinear(X, y, X, y, DALVEN_full_model,DALVEN_full_hyper['retain_index'], DALVEN_full_hyper['degree'], DALVEN_full_hyper['lag'] , steps ,trans_type = 'auto', plot=True,round_number =str(round_number)) fitting_result[selected_model] = {'model_hyper':DALVEN_full_hyper,'final_model':DALVEN_full_model, 'model_params':DALVEN_full_params , 'mse_train':mse_train_DALVEN_full, 'mse_val':MSE_v_DALVEN_full, 'mse_test':mse_test_DALVEN_full, 'yhat_train':yhat_train_DALVEN_full, 'yhat_test':yhat_test_DALVEN_full, 'final_list': final_list_full} lag_number = DALVEN_full_hyper['lag'] scalery = StandardScaler() scalery.fit(y[lag_number:]) yhat_test_DALVEN_full=scalery.inverse_transform(yhat_test_DALVEN_full) residual_analysis(X_test[lag_number:], y_test[lag_number:],yhat_test_DALVEN_full, alpha =alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: DALVEN_method = input('Type in the method you want to test: DALVEN_full_nonlinear or DALVEN. ') selected_model = DALVEN_method if cv_method == 'IC': import IC if one_std: print('BIC is recommended to prefer a simplier model for robustness.') IC_method = input('The type of information criterion you want to use (AIC, AICc, BIC), if not known type None, the criterion will be selected between AIC/AICc. ') print('------Model Construction------') DALVEN_hyper,DALVEN_model, DALVEN_params, mse_train_DALVEN, mse_test_DALVEN, yhat_train_DALVEN, yhat_test_DALVEN, MSE_v_DALVEN, final_list = IC.IC_mse(DALVEN_method, X, y, X_test, y_test, cv_type = IC_method, alpha_num=alpha_num, lag=lag, degree=degree, label_name=True, trans_type= 'auto') else: #using validation set K_fold = int(input('Number of K-fold you want to use, or the fold number you want to use in single validation 1/K, if not known input 5: ')) Nr = int(input('Number of repetition (if have in CV) you want to use, if not known input 10: ')) print('------Model Construction------') if not one_std: import cv_final as cv DALVEN_hyper,DALVEN_model, DALVEN_params, mse_train_DALVEN, mse_test_DALVEN, yhat_train_DALVEN, yhat_test_DALVEN, MSE_v_DALVEN, final_list = cv.CV_mse(DALVEN_method, X, y, X_test, y_test, cv_type = cv_method, K_fold = K_fold, Nr= Nr, \ alpha_num=alpha_num, label_name=True, trans_type= 'auto',degree=degree,lag = lag) else: print('CV with ons-std rule is used for DALVEN model') import cv_final_onestd as cv_std DALVEN_hyper,DALVEN_model, DALVEN_params, mse_train_DALVEN, mse_test_DALVEN, yhat_train_DALVEN, yhat_test_DALVEN, MSE_v_DALVEN, final_list = cv_std.CV_mse(DALVEN_method, X, y, X_test, y_test, cv_type = cv_method, K_fold = K_fold, Nr= Nr, \ alpha_num=alpha_num, label_name=True, trans_type= 'auto',degree=degree,lag = lag) fitting_result[selected_model] = {'model_hyper':DALVEN_hyper,'final_model':DALVEN_model, 'model_params':DALVEN_params , 'mse_train':mse_train_DALVEN, 'mse_val':MSE_v_DALVEN, 'mse_test':mse_test_DALVEN, 'yhat_train':yhat_train_DALVEN, 'yhat_test':yhat_test_DALVEN, 'final_list': final_list} ### model evaluation if DALVEN_method == 'DALVEN': DALVEN_mse_test_multi, DALVEN_yhat_test_multi= rm.DALVEN_testing_kstep(X, y, X_test, y_test, DALVEN_model,DALVEN_hyper['retain_index'], DALVEN_hyper['degree'], DALVEN_hyper['lag'] , steps,trans_type = 'auto',plot=True,round_number = str(round_number)) DALVEN_mse_train_multi, DALVEN_yhat_train_multi= rm.DALVEN_testing_kstep(X, y, X, y, DALVEN_model,DALVEN_hyper['retain_index'], DALVEN_hyper['degree'], DALVEN_hyper['lag'] , steps,trans_type = 'auto',plot=True,round_number = str(round_number)) else: DALVEN_mse_test_multi, DALVEN_yhat_test_multi= rm.DALVEN_testing_kstep_full_nonlinear(X, y, X_test, y_test, DALVEN_model,DALVEN_hyper['retain_index'], DALVEN_hyper['degree'], DALVEN_hyper['lag'] , steps ,trans_type = 'auto', plot=True,round_number = str(round_number)) DALVEN_mse_train_multi, DALVEN_yhat_train_multi= rm.DALVEN_testing_kstep_full_nonlinear(X, y, X, y, DALVEN_model,DALVEN_hyper['retain_index'], DALVEN_hyper['degree'], DALVEN_hyper['lag'] , steps ,trans_type = 'auto', plot=True,round_number =str(round_number)) lag_number = DALVEN_hyper['lag'] scalery = StandardScaler() scalery.fit(y[lag_number:]) yhat_test_DALVEN=scalery.inverse_transform(yhat_test_DALVEN) residual_analysis(X_test[lag_number:], y_test[lag_number:],yhat_test_DALVEN, alpha =alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: import timeseries_regression_matlab as t_matlab maxorder = int(input('Maximum order number you want to consider: ')) print('------Model Construction------') #matlab matlab_params, matlab_myresults, matlab_MSE_train, matlab_MSE_val, matlab_MSE_test, matlab_y_predict_train, matlab_y_predict_val, matlab_y_predict_test, matlab_train_error, matlab_val_error, matlab_test_error = t_matlab.timeseries_matlab_single(X, y, X_test = X_test, y_test= y_test, train_ratio = 1,\ maxorder = maxorder, mynow = 1, steps = steps, plot = True) #adaptx ADAPTx = int(input('Do you installed ADAPTx software? [Yes: 1, No: 0] ')) if ADAPTx: import timeseries_regression_Adaptx as t_Adaptx url = input('Url for the ADAPTx software (e.g. C:\\Users\\Vicky\\Desktop\\AdaptX\\ADAPTX35M9\\): ') data_url = input('Saved data file URL for the ADAPTx software (e.g. C:\\Users\\Vicky\\Desktop\\AdaptX\\ADAPTX35M9\\test\\): ') mymaxlag = int(input('Maximum number of lags considered in ADAPTx: ')) mydegs = [int(x) for x in input('Degree of trend t in ADAPTx [if not known use default -1 0 1]: ').split()] Adaptx_optimal_params, Adaptx_myresults, Adaptx_MSE_train, Adaptx_MSE_val, Adaptx_MSE_test, Adaptx_y_predict_train, Adaptx_y_predict_val, Adaptx_y_predict_test, Adaptx_train_error, Adaptx_val_error, Adaptx_test_error = t_Adaptx.Adaptx_matlab_single(X, y, data_url = data_url, url = url, X_test=X_test, y_test=y_test, train_ratio = 1,\ mymaxlag = mymaxlag, mydegs = mydegs, mynow = 1, steps = steps, plot = True) if not ADAPTx: print('The final state space model is fitted based on ' + matlab_params['method'][0] + ' using MATLAB.') selected_model = matlab_params['method'][0] yhat_test = matlab_y_predict_test.transpose()[:,0].reshape((-1,1)) yhat_test = scaler_y.inverse_transform(yhat_test) fitting_result[selected_model] = {'model_hyper':matlab_params,'final_model':matlab_myresults, 'mse_train':matlab_MSE_train, 'mse_val':matlab_MSE_val, 'mse_test':matlab_MSE_test, 'yhat_train':matlab_y_predict_train, 'yhat_val':matlab_y_predict_val,'yhat_test':matlab_y_predict_test} residual_analysis(X_test, y_test,yhat_test, alpha = alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: print('The final state space model is selected based on minimum averaged MSE.') if np.mean(matlab_MSE_train) <= np.mean(Adaptx_MSE_train): print('State space model by Matlab is selected. Model parameters is stored in matlab_params.') print('The final state space model is fitted based on ' + matlab_params['method'][0] + ' using MATLAB.') selected_model = matlab_params['method'][0] fitting_result[selected_model] = {'model_hyper':matlab_params,'final_model':matlab_myresults, 'mse_train':matlab_MSE_train, 'mse_val':matlab_MSE_val, 'mse_test':matlab_MSE_test, 'yhat_train':matlab_y_predict_train, 'yhat_val':matlab_y_predict_val,'yhat_test':matlab_y_predict_test} yhat_test = matlab_y_predict_test.transpose()[:,0].reshape((-1,1)) yhat_test = scaler_y.inverse_transform(yhat_test) residual_analysis(X_test, y_test,yhat_test, alpha = alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: print('State space model by ADAPTx is selected. Model parameters is stored in Adaptx_optimal_params.') selected_model = 'ADAPTx' fitting_result[selected_model] = {'model_hyper':Adaptx_optimal_params,'final_model':Adaptx_myresults, 'mse_train':Adaptx_MSE_train, 'mse_val':Adaptx_MSE_val, 'mse_test':Adaptx_MSE_test, 'yhat_train':Adaptx_y_predict_train, 'yhat_val':Adaptx_y_predict_val,'yhat_test':Adaptx_y_predict_test} yhat_test = Adaptx_y_predict_test.transpose()[Adaptx_optimal_params['lag'][0][0]:,0].reshape((-1,1)) yhat_test = scaler_y.inverse_transform(yhat_test) residual_analysis(X_test[Adaptx_optimal_params['lag'][0][0]:,:], y_test[Adaptx_optimal_params['lag'][0][0]:,0].reshape((-1,1)),yhat_test, alpha = alpha, round_number = round_number) print('--------------Analysis Is Done--------------') ############################ model fitting 2nd round if necessary if round_number == 2: print('') print("""----------------------------------------------------- The residual contains dynamics unexplained by the static model, therefore the dynamic model is selected. -----------------------------------------""") print('') nonlinear_dynamic = int(input('Do you want to use a nonlinear dynamic model (Yes 1 No 0 Not sure 2): ')) if nonlinear_dynamic == 1: if_nonlinear = 1 elif nonlinear_dynamic ==2: if_nonlinear = nonlinearity_assess(X_original, y_original, if_plot_interrogation, cat = cat,alpha = alpha, difference = 0.4, xticks = xticks, yticks = yticks, round_number = round_number) if if_nonlinear == 0: lag = int(input('The lag number you want to use to assess nonlinear dyanmics: ')) if_nonlinear_dynamic = nonlinearity_assess_dynamic(X_original, y_original, if_plot_interrogation, alpha = alpha, difference = 0.4, xticks = xticks, yticks = yticks, round_number = round_number,lag= lag) if_nonlinear = if_nonlinear or if_nonlinear_dynamic else: if_nonlinear == 0 print('') print("""---------------------------------------------------- Based on the information of data characteristics, the following dynamic model is selected: ----------------------------------------------------""") model_name = None if if_nonlinear == 1: print('The nonlinear dynamic model is selected:') if if_enough == 0 : print('Because you have limited data, DALVEN is recommonded.') model_name = ['DALVEN'] elif if_interpretable == 1: print('Because you would like an interpretable model, DALVEN is recommonded.') model_name = ['DALVEN'] else: print('Because you have engough data and do not require interpretability, RNN is recommonded.') model_name = ['RNN'] else: print('There is significant dynamics and multicolinearity, CVA/SSARX/MOSEP are recommonded.') model_name = ['SS'] print('') print("""---------------------------------------------------- Based on the information of data characteristics, the following fitting strategy is selected: ----------------------------------------------------""") if model_name == ['SS']: print('MATLAB/ADAPTx packges with information criterion will be used') else: if if_enough == 1: cv_method = 'Single_ordered' print('Single validation is used for time series modeling.') else: if if_time: if if_robust: cv_method = 'Timeseries' one_std = 1 print('Cross-validation for time series with one std rule is selected.') else: cv_method = 'Timeseries' print('Cross-validation for time series is selected.') else: cv_method = 'IC' print('Information criteria is selected.') if if_robust: one_std = 1 print('') print("""---------------------------------------------------- Start 2nd-Round Model Fitting ----------------------------------------------------""") steps = int(input('Number of steps you want to test for the future prediction? ')) if if_nonlinear == 1: if model_name == ['RNN']: selected_model = 'RNN' import timeseries_regression_RNN as t_RNN print('Please input the following numbers/types from the smallest to the largest: 1 3 5 or linear relu') activation = list(map(str,input("Types of activation function you want to use (e.g. linear, relu, tanh?): ").strip().split())) num_layers = list(map(int,input("Numbers of layers you want to test: ").strip().split())) state_size = list(map(int,input("Numbers of states you want to test: ").strip().split())) cell_type = list(map(str,input("Types of cells you want to use (e.g. regular, LSTM, GRU?): ").strip().split())) print('Please provide the following training parameter.') batch_size = int(input("Number of batch used in training you want to test: ")) epoch_overlap = input('The overlap between different batch? The number indicate the space between two training, 0 means no space. If no overlap type None. ') if epoch_overlap == 'None': epoch_overlap = None else: epoch_overlap = int(epoch_overlap) num_steps = int(input("Number of steps back in past of RNN you want to use : ")) max_checks_without_progress = int(input('How many steps for no improvment for early stopping?: ')) learning_rate = float(input('Learning rate? ')) lambda_l2_reg = float(input('Penalty weight of L2 norm? ')) num_epochs = float(input('Maximum number of epochs? ' )) if cv_method == 'IC': import IC if one_std: print('BIC is recommended to prefer a simplier model for robustness.') IC_method = input('The type of information criterion you want to use (AIC, AICc, BIC), if not known type None, the criterion will be selected between AIC/AICc. ') if IC_method == 'None': IC_method = None print('------Model Construction------') RNN_hyper, RNN_model, yhat_train_RNN, yhat_val_RNN, yhat_test_RNN, mse_train_RNN, mse_val_RNN, mse_test_RNN= IC.IC_mse('RNN', X_scale, y_scale, X_test_scale, y_test_scale, cv_type = IC_method, cell_type = cell_type,\ activation = activation, num_layers=num_layers,state_size=state_size,num_steps=num_steps, \ batch_size=batch_size,epoch_overlap= epoch_overlap, learning_rate=learning_rate, lambda_l2_reg=lambda_l2_reg,\ num_epochs=num_epochs, max_checks_without_progress = max_checks_without_progress,round_number = str(round_number)) else: K_fold = int(input('Number of K-fold you want to use, or the fold number you want to use in single validation 1/K, if not known input 5: ')) Nr = int(input('Number of repetition (if have in CV) you want to use, if not known input 10: ')) print('------Model Construction------') if not one_std: import cv_final as cv RNN_hyper, RNN_model, yhat_train_RNN, yhat_val_RNN, yhat_test_RNN, mse_train_RNN, mse_val_RNN, mse_test_RNN= cv.CV_mse('RNN', X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, K_fold = K_fold, Nr= Nr, cell_type = cell_type,group=group,\ activation = activation, num_layers=num_layers,state_size=state_size,num_steps=num_steps, \ batch_size=batch_size,epoch_overlap= epoch_overlap, learning_rate=learning_rate, lambda_l2_reg=lambda_l2_reg,\ num_epochs=num_epochs, max_checks_without_progress = max_checks_without_progress,round_number = str(round_number)) else: import cv_final_onestd as cv_std print('CV with ons-std rule is used for RNN model') RNN_hyper, RNN_model, yhat_train_RNN, yhat_val_RNN, yhat_test_RNN, mse_train_RNN, mse_val_RNN, mse_test_RNN= cv_std.CV_mse('RNN', X_scale, y_scale, X_test_scale, y_test_scale, cv_type = cv_method, K_fold = K_fold, Nr= Nr, cell_type = cell_type,group=group,\ activation = activation, num_layers=num_layers,state_size=state_size,num_steps=num_steps, \ batch_size=batch_size,epoch_overlap= epoch_overlap, learning_rate=learning_rate, lambda_l2_reg=lambda_l2_reg,\ num_epochs=num_epochs, max_checks_without_progress = max_checks_without_progress,round_number = str(round_number)) fitting_result[selected_model] = {'model_hyper':RNN_hyper,'final_model':RNN_model, 'mse_train':mse_train_RNN, 'mse_val':mse_val_RNN, 'mse_test':mse_test_RNN, 'yhat_train':yhat_train_RNN, 'yhat_val':yhat_val_RNN, 'yhat_test':yhat_test_RNN, 'MSE_val': MSE_val} #k-step prediction num_train=round(X.shape[0]*RNN_hyper['early_stop']['train_ratio']) print('K-step prediction for training') train_y_prediction_kstep, train_loss_kstep = t_RNN.timeseries_RNN_feedback_test(X_scale[:num_train], y_scale[:num_train], X_scale[:num_train],y_scale[:num_train], kstep = steps, cell_type=RNN_hyper['cell_type'],activation = RNN_hyper['activation'], state_size = RNN_hyper['state_size'],\ num_layers = RNN_hyper['num_layers'], location=RNN_model, plot=True,round_number = str(round_number)) print('K-step prediction for training') test_y_prediction_kstep, test_loss_kstep = t_RNN.timeseries_RNN_feedback_test(X_scale[:num_train], y_scale[:num_train], X_test_scale,y_test_scale, kstep = steps, cell_type=RNN_hyper['cell_type'],activation = RNN_hyper['activation'], state_size = RNN_hyper['state_size'],\ num_layers = RNN_hyper['num_layers'], location=RNN_model, plot=True, round_number = str(round_number)) scaler_y_RNN = StandardScaler(with_mean=True, with_std=True) scaler_y_RNN.fit(y_scale[:num_train]) yhat_test_RNN = scaler_y_RNN.inverse_transform(yhat_test_RNN) residual_analysis(X_test_scale, y_test_scale, yhat_test_RNN, alpha = alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: import regression_models as rm alpha_num = int(input('Number of penalty weight you want to consider in DALVEN, if not known input 20: ')) lag = list(map(int,input("Lists of numbers of lags you want to consider in DALVEN: (e.g. 1 2 3) ").strip().split())) degree = list(map(int,input("Orders of nonlinear mapping considered in DALVEN: (choose to include 1 2 3) ").strip().split())) if int(input('Do you want to test both DALVEN-full/DALVEN? (Yes: 1, No: 0): ')): if cv_method == 'IC': import IC if one_std: print('BIC is recommended to prefer a simplier model for robustness.') IC_method = input('The type of information criterion you want to use (AIC, AICc, BIC), if not known type None, the criterion will be selected between AIC/AICc. ') print('------Model Construction------') DALVEN_hyper,DALVEN_model, DALVEN_params, mse_train_DALVEN, mse_test_DALVEN, yhat_train_DALVEN, yhat_test_DALVEN, MSE_v_DALVEN, final_list = IC.IC_mse('DALVEN', X, y, X_test, y_test, cv_type = IC_method, alpha_num=alpha_num, lag=lag, degree=degree, label_name=True, trans_type= 'auto') DALVEN_full_hyper,DALVEN_full_model, DALVEN_full_params, mse_train_DALVEN_full, mse_test_DALVEN_full, yhat_train_DALVEN_full, yhat_test_DALVEN_full, MSE_v_DALVEN_full, final_list_full = IC.IC_mse('DALVEN_full_nonlinear', X, y, X_test, y_test, cv_type = IC_method, alpha_num=alpha_num, lag=lag, degree=degree, label_name=True, trans_type= 'auto') else: #using validation set if not one_std: import cv_final as cv K_fold = int(input('Number of K-fold you want to use, or the fold number you want to use in single validation 1/K, if not known input 5: ')) Nr = int(input('Number of repetition (if have in CV) you want to use, if not known input 10: ')) print('------Model Construction------') DALVEN_hyper,DALVEN_model, DALVEN_params, mse_train_DALVEN, mse_test_DALVEN, yhat_train_DALVEN, yhat_test_DALVEN, MSE_v_DALVEN, final_list = cv.CV_mse('DALVEN', X, y, X_test, y_test, cv_type = cv_method, K_fold = K_fold, Nr= Nr, \ alpha_num=alpha_num, label_name=True, trans_type= 'auto',degree=degree,lag = lag) DALVEN_full_hyper,DALVEN_full_model, DALVEN_full_params, mse_train_DALVEN_full, mse_test_DALVEN_full, yhat_train_DALVEN_full, yhat_test_DALVEN_full, MSE_v_DALVEN_full, final_list_full = cv.CV_mse('DALVEN_full_nonlinear', X, y, X_test, y_test, cv_type = cv_method, K_fold = K_fold, Nr= Nr, \ alpha_num=alpha_num, label_name=True, trans_type= 'auto',degree=degree,lag = lag) else: print('CV with ons-std rule is used for DALVEN model') import cv_final_onestd as cv_std K_fold = int(input('Number of K-fold you want to use, or the fold number you want to use in single validation 1/K, if not known input 5: ')) Nr = int(input('Number of repetition (if have in CV) you want to use, if not known input 10: ')) print('------Model Construction------') DALVEN_hyper,DALVEN_model, DALVEN_params, mse_train_DALVEN, mse_test_DALVEN, yhat_train_DALVEN, yhat_test_DALVEN, MSE_v_DALVEN, final_list = cv_std.CV_mse('DALVEN', X, y, X_test, y_test, cv_type = cv_method, K_fold = K_fold, Nr= Nr, \ alpha_num=alpha_num, label_name=True, trans_type= 'auto',degree=degree,lag = lag) DALVEN_full_hyper,DALVEN_full_model, DALVEN_full_params, mse_train_DALVEN_full, mse_test_DALVEN_full, yhat_train_DALVEN_full, yhat_test_DALVEN_full, MSE_v_DALVEN_full, final_list_full = cv_std.CV_mse('DALVEN_full_nonlinear', X, y, X_test, y_test, cv_type = cv_method, K_fold = K_fold, Nr= Nr, \ alpha_num=alpha_num, label_name=True, trans_type= 'auto',degree=degree,lag = lag) ##select the method if MSE_v_DALVEN <= MSE_v_DALVEN_full: selected_model = 'DALVEN' else: selected_model = 'DALVEN_full_nonlinear' print('Based on the ' + cv_method +', ' + selected_model +' is selected.') #DALVEN model evaluation after choosing the method if selected_model == 'DALVEN': DALVEN_mse_test_multi, DALVEN_yhat_test_multi= rm.DALVEN_testing_kstep(X, y, X_test, y_test, DALVEN_model,DALVEN_hyper['retain_index'], DALVEN_hyper['degree'], DALVEN_hyper['lag'] , steps,trans_type = 'auto',plot=True,round_number = str(round_number)) DALVEN_mse_train_multi, DALVEN_yhat_train_multi= rm.DALVEN_testing_kstep(X, y, X, y, DALVEN_model,DALVEN_hyper['retain_index'], DALVEN_hyper['degree'], DALVEN_hyper['lag'] , steps,trans_type = 'auto',plot=True,round_number = str(round_number)) lag_number = DALVEN_hyper['lag'] scalery = StandardScaler() scalery.fit(y[lag_number:]) yhat_test_DALVEN=scalery.inverse_transform(yhat_test_DALVEN) fitting_result[selected_model] = {'model_hyper':DALVEN_hyper,'final_model':DALVEN_model, 'model_params':DALVEN_params , 'mse_train':mse_train_DALVEN, 'mse_val':MSE_v_DALVEN, 'mse_test':mse_test_DALVEN, 'yhat_train':yhat_train_DALVEN, 'yhat_test':yhat_test_DALVEN, 'final_list': final_list} residual_analysis(X_test[lag_number:], y_test[lag_number:],yhat_test_DALVEN, alpha =alpha, round_number = round_number) else: DALVEN_full_mse_test_multi, DALVEN_full_yhat_test_multi= rm.DALVEN_testing_kstep_full_nonlinear(X, y, X_test, y_test, DALVEN_full_model,DALVEN_full_hyper['retain_index'], DALVEN_full_hyper['degree'], DALVEN_full_hyper['lag'] , steps ,trans_type = 'auto', plot=True,round_number = str(round_number)) DALVEN_full_mse_train_multi, DALVEN_full_yhat_train_multi= rm.DALVEN_testing_kstep_full_nonlinear(X, y, X, y, DALVEN_full_model,DALVEN_full_hyper['retain_index'], DALVEN_full_hyper['degree'], DALVEN_full_hyper['lag'] , steps ,trans_type = 'auto', plot=True,round_number =str(round_number)) lag_number = DALVEN_full_hyper['lag'] scalery = StandardScaler() scalery.fit(y[lag_number:]) yhat_test_DALVEN_full=scalery.inverse_transform(yhat_test_DALVEN_full) fitting_result[selected_model] = {'model_hyper':DALVEN_full_hyper,'final_model':DALVEN_full_model, 'model_params':DALVEN_full_params , 'mse_train':mse_train_DALVEN_full, 'mse_val':MSE_v_DALVEN_full, 'mse_test':mse_test_DALVEN_full, 'yhat_train':yhat_train_DALVEN_full, 'yhat_test':yhat_test_DALVEN_full, 'final_list': final_list_full} residual_analysis(X_test[lag_number:], y_test[lag_number:],yhat_test_DALVEN_full, alpha =alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: DALVEN_method = input('Type in the method you want to test: DALVEN_full_nonlinear or DALVEN. ') selected_model = DALVEN_method if cv_method == 'IC': import IC if one_std: print('BIC is recommended to prefer a simplier model for robustness.') IC_method = input('The type of information criterion you want to use (AIC, AICc, BIC), if not known type None, the criterion will be selected between AIC/AICc. ') print('------Model Construction------') DALVEN_hyper,DALVEN_model, DALVEN_params, mse_train_DALVEN, mse_test_DALVEN, yhat_train_DALVEN, yhat_test_DALVEN, MSE_v_DALVEN, final_list = IC.IC_mse(DALVEN_method, X, y, X_test, y_test, cv_type = IC_method, alpha_num=alpha_num, lag=lag, degree=degree, label_name=True, trans_type= 'auto') else: #using validation set K_fold = int(input('Number of K-fold you want to use, or the fold number you want to use in single validation 1/K, if not known input 5: ')) Nr = int(input('Number of repetition (if have in CV) you want to use, if not known input 10: ')) print('------Model Construction------') if not one_std: import cv_final as cv DALVEN_hyper,DALVEN_model, DALVEN_params, mse_train_DALVEN, mse_test_DALVEN, yhat_train_DALVEN, yhat_test_DALVEN, MSE_v_DALVEN, final_list = cv.CV_mse(DALVEN_method, X, y, X_test, y_test, cv_type = cv_method, K_fold = K_fold, Nr= Nr, \ alpha_num=alpha_num, label_name=True, trans_type= 'auto',degree=degree,lag = lag) else: print('CV with ons-std rule is used for DALVEN model') import cv_final_onestd as cv_std DALVEN_hyper,DALVEN_model, DALVEN_params, mse_train_DALVEN, mse_test_DALVEN, yhat_train_DALVEN, yhat_test_DALVEN, MSE_v_DALVEN, final_list = cv_std.CV_mse(DALVEN_method, X, y, X_test, y_test, cv_type = cv_method, K_fold = K_fold, Nr= Nr, \ alpha_num=alpha_num, label_name=True, trans_type= 'auto',degree=degree,lag = lag) fitting_result[selected_model] = {'model_hyper':DALVEN_hyper,'final_model':DALVEN_model, 'model_params':DALVEN_params , 'mse_train':mse_train_DALVEN, 'mse_val':MSE_v_DALVEN, 'mse_test':mse_test_DALVEN, 'yhat_train':yhat_train_DALVEN, 'yhat_test':yhat_test_DALVEN, 'final_list': final_list} ### model evaluation if DALVEN_method == 'DALVEN': DALVEN_mse_test_multi, DALVEN_yhat_test_multi= rm.DALVEN_testing_kstep(X, y, X_test, y_test, DALVEN_model,DALVEN_hyper['retain_index'], DALVEN_hyper['degree'], DALVEN_hyper['lag'] , steps,trans_type = 'auto',plot=True,round_number = str(round_number)) DALVEN_mse_train_multi, DALVEN_yhat_train_multi= rm.DALVEN_testing_kstep(X, y, X, y, DALVEN_model,DALVEN_hyper['retain_index'], DALVEN_hyper['degree'], DALVEN_hyper['lag'] , steps,trans_type = 'auto',plot=True,round_number = str(round_number)) else: DALVEN_mse_test_multi, DALVEN_yhat_test_multi= rm.DALVEN_testing_kstep_full_nonlinear(X, y, X_test, y_test, DALVEN_model,DALVEN_hyper['retain_index'], DALVEN_hyper['degree'], DALVEN_hyper['lag'] , steps ,trans_type = 'auto', plot=True,round_number = str(round_number)) DALVEN_mse_train_multi, DALVEN_yhat_train_multi= rm.DALVEN_testing_kstep_full_nonlinear(X, y, X, y, DALVEN_model,DALVEN_hyper['retain_index'], DALVEN_hyper['degree'], DALVEN_hyper['lag'] , steps ,trans_type = 'auto', plot=True,round_number =str(round_number)) lag_number = DALVEN_hyper['lag'] scalery = StandardScaler() scalery.fit(y[lag_number:]) yhat_test_DALVEN=scalery.inverse_transform(yhat_test_DALVEN) residual_analysis(X_test[lag_number:], y_test[lag_number:],yhat_test_DALVEN, alpha =alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: import timeseries_regression_matlab as t_matlab maxorder = int(input('Maximum order number you want to consider: ')) print('------Model Construction------') #matlab matlab_params, matlab_myresults, matlab_MSE_train, matlab_MSE_val, matlab_MSE_test, matlab_y_predict_train, matlab_y_predict_val, matlab_y_predict_test, matlab_train_error, matlab_val_error, matlab_test_error = t_matlab.timeseries_matlab_single(X, y, X_test = X_test, y_test= y_test, train_ratio = 1,\ maxorder = maxorder, mynow = 1, steps = steps, plot = True) #adaptx ADAPTx = int(input('Do you installed ADAPTx software? [Yes: 1, No: 0] ')) if ADAPTx: import timeseries_regression_Adaptx as t_Adaptx url = input('Url for the ADAPTx software (e.g. C:\\Users\\Vicky\\Desktop\\AdaptX\\ADAPTX35M9\\): ') data_url = input('Saved data file URL for the ADAPTx software (e.g. C:\\Users\\Vicky\\Desktop\\AdaptX\\ADAPTX35M9\\test\\): ') mymaxlag = int(input('Maximum number of lags considered in ADAPTx: ')) mydegs = [int(x) for x in input('Degree of trend t in ADAPTx [if not known use default -1 0 1]: ').split()] Adaptx_optimal_params, Adaptx_myresults, Adaptx_MSE_train, Adaptx_MSE_val, Adaptx_MSE_test, Adaptx_y_predict_train, Adaptx_y_predict_val, Adaptx_y_predict_test, Adaptx_train_error, Adaptx_val_error, Adaptx_test_error = t_Adaptx.Adaptx_matlab_single(X, y, data_url = data_url, url = url, X_test=X_test, y_test=y_test, train_ratio = 1,\ mymaxlag = mymaxlag, mydegs = mydegs, mynow = 1, steps = steps, plot = True) if not ADAPTx: print('The final state space model is fitted based on ' + matlab_params['method'][0] + ' using MATLAB.') selected_model = matlab_params['method'][0] yhat_test = matlab_y_predict_test.transpose()[:,0].reshape((-1,1)) yhat_test = scaler_y.inverse_transform(yhat_test) fitting_result[selected_model] = {'model_hyper':matlab_params,'final_model':matlab_myresults, 'mse_train':matlab_MSE_train, 'mse_val':matlab_MSE_val, 'mse_test':matlab_MSE_test, 'yhat_train':matlab_y_predict_train, 'yhat_val':matlab_y_predict_val,'yhat_test':matlab_y_predict_test} residual_analysis(X_test, y_test,yhat_test, alpha = alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: print('The final state space model is selected based on minimum averaged MSE.') if np.mean(matlab_MSE_train) <= np.mean(Adaptx_MSE_train): print('State space model by Matlab is selected. Model parameters is stored in matlab_params.') print('The final state space model is fitted based on ' + matlab_params['method'][0] + ' using MATLAB.') selected_model = matlab_params['method'][0] yhat_test = matlab_y_predict_test.transpose()[:,0].reshape((-1,1)) yhat_test = scaler_y.inverse_transform(yhat_test) fitting_result[selected_model] = {'model_hyper':matlab_params,'final_model':matlab_myresults, 'mse_train':matlab_MSE_train, 'mse_val':matlab_MSE_val, 'mse_test':matlab_MSE_test, 'yhat_train':matlab_y_predict_train, 'yhat_val':matlab_y_predict_val,'yhat_test':matlab_y_predict_test} residual_analysis(X_test, y_test,yhat_test, alpha = alpha, round_number = round_number) print('--------------Analysis Is Done--------------') else: print('State space model by ADAPTx is selected. Model parameters is stored in Adaptx_optimal_params.') selected_model = 'ADAPTx' yhat_test = Adaptx_y_predict_test.transpose()[Adaptx_optimal_params['lag'][0][0]:,0].reshape((-1,1)) yhat_test = scaler_y.inverse_transform(yhat_test) fitting_result[selected_model] = {'model_hyper':Adaptx_optimal_params,'final_model':Adaptx_myresults, 'mse_train':Adaptx_MSE_train, 'mse_val':Adaptx_MSE_val, 'mse_test':Adaptx_MSE_test, 'yhat_train':Adaptx_y_predict_train, 'yhat_val':Adaptx_y_predict_val,'yhat_test':Adaptx_y_predict_test} residual_analysis(X_test[Adaptx_optimal_params['lag'][0][0]:,:], y_test[Adaptx_optimal_params['lag'][0][0]:,0].reshape((-1,1)),yhat_test, alpha = alpha, round_number = round_number) print('--------------Analysis Is Done--------------')

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0.940396

0.931978

0.929955

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134,180

1,984

418

67.631048

0.779188

0.006245

0

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a2976ecc052c86bcdc8f689edcfb4a807d27e843

56,133

py

Python

spio/api/metric_providers_api.py

bsneade/statuspageio-python

30526a2984251885381e781b12b5070d46063537

[ "Apache-2.0" ]

2

2020-03-02T20:32:32.000Z

2020-05-20T16:54:58.000Z

spio/api/metric_providers_api.py

bsneade/statuspageio-python

30526a2984251885381e781b12b5070d46063537

[ "Apache-2.0" ]

null

spio/api/metric_providers_api.py

bsneade/statuspageio-python

30526a2984251885381e781b12b5070d46063537

[ "Apache-2.0" ]

null

# coding: utf-8 """ Statuspage API # Code of Conduct Please don't abuse the API, and please report all feature requests and issues to https://help.statuspage.io/help/contact-us-30 # Rate Limiting Each API token is limited to 1 request / second as measured on a 60 second rolling window. To get this limit increased or lifted, please contact us at https://help.statuspage.io/help/contact-us-30 # Basics ## HTTPS It's required ## URL Prefix In order to maintain version integrity into the future, the API is versioned. All calls currently begin with the following prefix: https://api.statuspage.io/v1/ ## RESTful Interface Wherever possible, the API seeks to implement repeatable patterns with logical, representative URLs and descriptive HTTP verbs. Below are some examples and conventions you will see throughout the documentation. * Collections are buckets: https://api.statuspage.io/v1/pages/asdf123/incidents.json * Elements have unique IDs: https://api.statuspage.io/v1/pages/asdf123/incidents/jklm456.json * GET will retrieve information about a collection/element * POST will create an element in a collection * PATCH will update a single element * PUT will replace a single element in a collection (rarely used) * DELETE will destroy a single element ## Sending Data Information can be sent in the body as form urlencoded or JSON, but make sure the Content-Type header matches the body structure or the server gremlins will be angry. All examples are provided in JSON format, however they can easily be converted to form encoding if required. Some examples of how to convert things are below: // JSON { \"incident\": { \"name\": \"test incident\", \"components\": [\"8kbf7d35c070\", \"vtnh60py4yd7\"] } } // Form Encoded (using curl as an example): curl -X POST https://api.statuspage.io/v1/example \\ -d \"incident[name]=test incident\" \\ -d \"incident[components][]=8kbf7d35c070\" \\ -d \"incident[components][]=vtnh60py4yd7\" # Authentication  # noqa: E501 The version of the OpenAPI document: 1.0.0 Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from spio.api_client import ApiClient from spio.exceptions import ( ApiTypeError, ApiValueError ) class MetricProvidersApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def delete_pages_page_id_metrics_providers_metrics_provider_id(self, page_id, metrics_provider_id, **kwargs): # noqa: E501 """Delete a metric provider # noqa: E501 Delete a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_pages_page_id_metrics_providers_metrics_provider_id(page_id, metrics_provider_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param str metrics_provider_id: Metric Provider Identifier (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: MetricsProvider If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_pages_page_id_metrics_providers_metrics_provider_id_with_http_info(page_id, metrics_provider_id, **kwargs) # noqa: E501 def delete_pages_page_id_metrics_providers_metrics_provider_id_with_http_info(self, page_id, metrics_provider_id, **kwargs): # noqa: E501 """Delete a metric provider # noqa: E501 Delete a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_pages_page_id_metrics_providers_metrics_provider_id_with_http_info(page_id, metrics_provider_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param str metrics_provider_id: Metric Provider Identifier (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(MetricsProvider, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['page_id', 'metrics_provider_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method delete_pages_page_id_metrics_providers_metrics_provider_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'page_id' is set if self.api_client.client_side_validation and ('page_id' not in local_var_params or # noqa: E501 local_var_params['page_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_id` when calling `delete_pages_page_id_metrics_providers_metrics_provider_id`") # noqa: E501 # verify the required parameter 'metrics_provider_id' is set if self.api_client.client_side_validation and ('metrics_provider_id' not in local_var_params or # noqa: E501 local_var_params['metrics_provider_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `metrics_provider_id` when calling `delete_pages_page_id_metrics_providers_metrics_provider_id`") # noqa: E501 collection_formats = {} path_params = {} if 'page_id' in local_var_params: path_params['page_id'] = local_var_params['page_id'] # noqa: E501 if 'metrics_provider_id' in local_var_params: path_params['metrics_provider_id'] = local_var_params['metrics_provider_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/pages/{page_id}/metrics_providers/{metrics_provider_id}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='MetricsProvider', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_pages_page_id_metrics_providers(self, page_id, **kwargs): # noqa: E501 """Get a list of metric providers # noqa: E501 Get a list of metric providers # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_pages_page_id_metrics_providers(page_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: list[MetricsProvider] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_pages_page_id_metrics_providers_with_http_info(page_id, **kwargs) # noqa: E501 def get_pages_page_id_metrics_providers_with_http_info(self, page_id, **kwargs): # noqa: E501 """Get a list of metric providers # noqa: E501 Get a list of metric providers # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_pages_page_id_metrics_providers_with_http_info(page_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(list[MetricsProvider], status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['page_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_pages_page_id_metrics_providers" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'page_id' is set if self.api_client.client_side_validation and ('page_id' not in local_var_params or # noqa: E501 local_var_params['page_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_id` when calling `get_pages_page_id_metrics_providers`") # noqa: E501 collection_formats = {} path_params = {} if 'page_id' in local_var_params: path_params['page_id'] = local_var_params['page_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/pages/{page_id}/metrics_providers', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[MetricsProvider]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_pages_page_id_metrics_providers_metrics_provider_id(self, page_id, metrics_provider_id, **kwargs): # noqa: E501 """Get a metric provider # noqa: E501 Get a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_pages_page_id_metrics_providers_metrics_provider_id(page_id, metrics_provider_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param str metrics_provider_id: Metric Provider Identifier (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: MetricsProvider If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_pages_page_id_metrics_providers_metrics_provider_id_with_http_info(page_id, metrics_provider_id, **kwargs) # noqa: E501 def get_pages_page_id_metrics_providers_metrics_provider_id_with_http_info(self, page_id, metrics_provider_id, **kwargs): # noqa: E501 """Get a metric provider # noqa: E501 Get a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_pages_page_id_metrics_providers_metrics_provider_id_with_http_info(page_id, metrics_provider_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param str metrics_provider_id: Metric Provider Identifier (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(MetricsProvider, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['page_id', 'metrics_provider_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_pages_page_id_metrics_providers_metrics_provider_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'page_id' is set if self.api_client.client_side_validation and ('page_id' not in local_var_params or # noqa: E501 local_var_params['page_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_id` when calling `get_pages_page_id_metrics_providers_metrics_provider_id`") # noqa: E501 # verify the required parameter 'metrics_provider_id' is set if self.api_client.client_side_validation and ('metrics_provider_id' not in local_var_params or # noqa: E501 local_var_params['metrics_provider_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `metrics_provider_id` when calling `get_pages_page_id_metrics_providers_metrics_provider_id`") # noqa: E501 collection_formats = {} path_params = {} if 'page_id' in local_var_params: path_params['page_id'] = local_var_params['page_id'] # noqa: E501 if 'metrics_provider_id' in local_var_params: path_params['metrics_provider_id'] = local_var_params['metrics_provider_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/pages/{page_id}/metrics_providers/{metrics_provider_id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='MetricsProvider', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def get_pages_page_id_metrics_providers_metrics_provider_id_metrics(self, page_id, metrics_provider_id, **kwargs): # noqa: E501 """List metrics for a metric provider # noqa: E501 List metrics for a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_pages_page_id_metrics_providers_metrics_provider_id_metrics(page_id, metrics_provider_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param str metrics_provider_id: Metric Provider Identifier (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Metric If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_pages_page_id_metrics_providers_metrics_provider_id_metrics_with_http_info(page_id, metrics_provider_id, **kwargs) # noqa: E501 def get_pages_page_id_metrics_providers_metrics_provider_id_metrics_with_http_info(self, page_id, metrics_provider_id, **kwargs): # noqa: E501 """List metrics for a metric provider # noqa: E501 List metrics for a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_pages_page_id_metrics_providers_metrics_provider_id_metrics_with_http_info(page_id, metrics_provider_id, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param str metrics_provider_id: Metric Provider Identifier (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Metric, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['page_id', 'metrics_provider_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_pages_page_id_metrics_providers_metrics_provider_id_metrics" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'page_id' is set if self.api_client.client_side_validation and ('page_id' not in local_var_params or # noqa: E501 local_var_params['page_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_id` when calling `get_pages_page_id_metrics_providers_metrics_provider_id_metrics`") # noqa: E501 # verify the required parameter 'metrics_provider_id' is set if self.api_client.client_side_validation and ('metrics_provider_id' not in local_var_params or # noqa: E501 local_var_params['metrics_provider_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `metrics_provider_id` when calling `get_pages_page_id_metrics_providers_metrics_provider_id_metrics`") # noqa: E501 collection_formats = {} path_params = {} if 'page_id' in local_var_params: path_params['page_id'] = local_var_params['page_id'] # noqa: E501 if 'metrics_provider_id' in local_var_params: path_params['metrics_provider_id'] = local_var_params['metrics_provider_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/pages/{page_id}/metrics_providers/{metrics_provider_id}/metrics', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Metric', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def patch_pages_page_id_metrics_providers_metrics_provider_id(self, page_id, metrics_provider_id, patch_pages_page_id_metrics_providers, **kwargs): # noqa: E501 """Update a metric provider # noqa: E501 Update a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_pages_page_id_metrics_providers_metrics_provider_id(page_id, metrics_provider_id, patch_pages_page_id_metrics_providers, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param str metrics_provider_id: Metric Provider Identifier (required) :param PatchPagesPageIdMetricsProviders patch_pages_page_id_metrics_providers: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: MetricsProvider If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.patch_pages_page_id_metrics_providers_metrics_provider_id_with_http_info(page_id, metrics_provider_id, patch_pages_page_id_metrics_providers, **kwargs) # noqa: E501 def patch_pages_page_id_metrics_providers_metrics_provider_id_with_http_info(self, page_id, metrics_provider_id, patch_pages_page_id_metrics_providers, **kwargs): # noqa: E501 """Update a metric provider # noqa: E501 Update a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_pages_page_id_metrics_providers_metrics_provider_id_with_http_info(page_id, metrics_provider_id, patch_pages_page_id_metrics_providers, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param str metrics_provider_id: Metric Provider Identifier (required) :param PatchPagesPageIdMetricsProviders patch_pages_page_id_metrics_providers: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(MetricsProvider, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['page_id', 'metrics_provider_id', 'patch_pages_page_id_metrics_providers'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method patch_pages_page_id_metrics_providers_metrics_provider_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'page_id' is set if self.api_client.client_side_validation and ('page_id' not in local_var_params or # noqa: E501 local_var_params['page_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_id` when calling `patch_pages_page_id_metrics_providers_metrics_provider_id`") # noqa: E501 # verify the required parameter 'metrics_provider_id' is set if self.api_client.client_side_validation and ('metrics_provider_id' not in local_var_params or # noqa: E501 local_var_params['metrics_provider_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `metrics_provider_id` when calling `patch_pages_page_id_metrics_providers_metrics_provider_id`") # noqa: E501 # verify the required parameter 'patch_pages_page_id_metrics_providers' is set if self.api_client.client_side_validation and ('patch_pages_page_id_metrics_providers' not in local_var_params or # noqa: E501 local_var_params['patch_pages_page_id_metrics_providers'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `patch_pages_page_id_metrics_providers` when calling `patch_pages_page_id_metrics_providers_metrics_provider_id`") # noqa: E501 collection_formats = {} path_params = {} if 'page_id' in local_var_params: path_params['page_id'] = local_var_params['page_id'] # noqa: E501 if 'metrics_provider_id' in local_var_params: path_params['metrics_provider_id'] = local_var_params['metrics_provider_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'patch_pages_page_id_metrics_providers' in local_var_params: body_params = local_var_params['patch_pages_page_id_metrics_providers'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/pages/{page_id}/metrics_providers/{metrics_provider_id}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='MetricsProvider', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def post_pages_page_id_metrics_providers(self, page_id, post_pages_page_id_metrics_providers, **kwargs): # noqa: E501 """Create a metric provider # noqa: E501 Create a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_pages_page_id_metrics_providers(page_id, post_pages_page_id_metrics_providers, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param PostPagesPageIdMetricsProviders post_pages_page_id_metrics_providers: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: MetricsProvider If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.post_pages_page_id_metrics_providers_with_http_info(page_id, post_pages_page_id_metrics_providers, **kwargs) # noqa: E501 def post_pages_page_id_metrics_providers_with_http_info(self, page_id, post_pages_page_id_metrics_providers, **kwargs): # noqa: E501 """Create a metric provider # noqa: E501 Create a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_pages_page_id_metrics_providers_with_http_info(page_id, post_pages_page_id_metrics_providers, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param PostPagesPageIdMetricsProviders post_pages_page_id_metrics_providers: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(MetricsProvider, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['page_id', 'post_pages_page_id_metrics_providers'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method post_pages_page_id_metrics_providers" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'page_id' is set if self.api_client.client_side_validation and ('page_id' not in local_var_params or # noqa: E501 local_var_params['page_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_id` when calling `post_pages_page_id_metrics_providers`") # noqa: E501 # verify the required parameter 'post_pages_page_id_metrics_providers' is set if self.api_client.client_side_validation and ('post_pages_page_id_metrics_providers' not in local_var_params or # noqa: E501 local_var_params['post_pages_page_id_metrics_providers'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `post_pages_page_id_metrics_providers` when calling `post_pages_page_id_metrics_providers`") # noqa: E501 collection_formats = {} path_params = {} if 'page_id' in local_var_params: path_params['page_id'] = local_var_params['page_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'post_pages_page_id_metrics_providers' in local_var_params: body_params = local_var_params['post_pages_page_id_metrics_providers'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/pages/{page_id}/metrics_providers', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='MetricsProvider', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def post_pages_page_id_metrics_providers_metrics_provider_id_metrics(self, page_id, metrics_provider_id, post_pages_page_id_metrics_providers_metrics_provider_id_metrics, **kwargs): # noqa: E501 """Create a metric for a metric provider # noqa: E501 Create a metric for a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_pages_page_id_metrics_providers_metrics_provider_id_metrics(page_id, metrics_provider_id, post_pages_page_id_metrics_providers_metrics_provider_id_metrics, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param str metrics_provider_id: Metric Provider Identifier (required) :param PostPagesPageIdMetricsProvidersMetricsProviderIdMetrics post_pages_page_id_metrics_providers_metrics_provider_id_metrics: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Metric If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.post_pages_page_id_metrics_providers_metrics_provider_id_metrics_with_http_info(page_id, metrics_provider_id, post_pages_page_id_metrics_providers_metrics_provider_id_metrics, **kwargs) # noqa: E501 def post_pages_page_id_metrics_providers_metrics_provider_id_metrics_with_http_info(self, page_id, metrics_provider_id, post_pages_page_id_metrics_providers_metrics_provider_id_metrics, **kwargs): # noqa: E501 """Create a metric for a metric provider # noqa: E501 Create a metric for a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.post_pages_page_id_metrics_providers_metrics_provider_id_metrics_with_http_info(page_id, metrics_provider_id, post_pages_page_id_metrics_providers_metrics_provider_id_metrics, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param str metrics_provider_id: Metric Provider Identifier (required) :param PostPagesPageIdMetricsProvidersMetricsProviderIdMetrics post_pages_page_id_metrics_providers_metrics_provider_id_metrics: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(Metric, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['page_id', 'metrics_provider_id', 'post_pages_page_id_metrics_providers_metrics_provider_id_metrics'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method post_pages_page_id_metrics_providers_metrics_provider_id_metrics" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'page_id' is set if self.api_client.client_side_validation and ('page_id' not in local_var_params or # noqa: E501 local_var_params['page_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_id` when calling `post_pages_page_id_metrics_providers_metrics_provider_id_metrics`") # noqa: E501 # verify the required parameter 'metrics_provider_id' is set if self.api_client.client_side_validation and ('metrics_provider_id' not in local_var_params or # noqa: E501 local_var_params['metrics_provider_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `metrics_provider_id` when calling `post_pages_page_id_metrics_providers_metrics_provider_id_metrics`") # noqa: E501 # verify the required parameter 'post_pages_page_id_metrics_providers_metrics_provider_id_metrics' is set if self.api_client.client_side_validation and ('post_pages_page_id_metrics_providers_metrics_provider_id_metrics' not in local_var_params or # noqa: E501 local_var_params['post_pages_page_id_metrics_providers_metrics_provider_id_metrics'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `post_pages_page_id_metrics_providers_metrics_provider_id_metrics` when calling `post_pages_page_id_metrics_providers_metrics_provider_id_metrics`") # noqa: E501 collection_formats = {} path_params = {} if 'page_id' in local_var_params: path_params['page_id'] = local_var_params['page_id'] # noqa: E501 if 'metrics_provider_id' in local_var_params: path_params['metrics_provider_id'] = local_var_params['metrics_provider_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'post_pages_page_id_metrics_providers_metrics_provider_id_metrics' in local_var_params: body_params = local_var_params['post_pages_page_id_metrics_providers_metrics_provider_id_metrics'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/pages/{page_id}/metrics_providers/{metrics_provider_id}/metrics', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Metric', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats) def put_pages_page_id_metrics_providers_metrics_provider_id(self, page_id, metrics_provider_id, put_pages_page_id_metrics_providers, **kwargs): # noqa: E501 """Update a metric provider # noqa: E501 Update a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.put_pages_page_id_metrics_providers_metrics_provider_id(page_id, metrics_provider_id, put_pages_page_id_metrics_providers, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param str metrics_provider_id: Metric Provider Identifier (required) :param PutPagesPageIdMetricsProviders put_pages_page_id_metrics_providers: (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: MetricsProvider If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.put_pages_page_id_metrics_providers_metrics_provider_id_with_http_info(page_id, metrics_provider_id, put_pages_page_id_metrics_providers, **kwargs) # noqa: E501 def put_pages_page_id_metrics_providers_metrics_provider_id_with_http_info(self, page_id, metrics_provider_id, put_pages_page_id_metrics_providers, **kwargs): # noqa: E501 """Update a metric provider # noqa: E501 Update a metric provider # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.put_pages_page_id_metrics_providers_metrics_provider_id_with_http_info(page_id, metrics_provider_id, put_pages_page_id_metrics_providers, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str page_id: Page identifier (required) :param str metrics_provider_id: Metric Provider Identifier (required) :param PutPagesPageIdMetricsProviders put_pages_page_id_metrics_providers: (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: tuple(MetricsProvider, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['page_id', 'metrics_provider_id', 'put_pages_page_id_metrics_providers'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method put_pages_page_id_metrics_providers_metrics_provider_id" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'page_id' is set if self.api_client.client_side_validation and ('page_id' not in local_var_params or # noqa: E501 local_var_params['page_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `page_id` when calling `put_pages_page_id_metrics_providers_metrics_provider_id`") # noqa: E501 # verify the required parameter 'metrics_provider_id' is set if self.api_client.client_side_validation and ('metrics_provider_id' not in local_var_params or # noqa: E501 local_var_params['metrics_provider_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `metrics_provider_id` when calling `put_pages_page_id_metrics_providers_metrics_provider_id`") # noqa: E501 # verify the required parameter 'put_pages_page_id_metrics_providers' is set if self.api_client.client_side_validation and ('put_pages_page_id_metrics_providers' not in local_var_params or # noqa: E501 local_var_params['put_pages_page_id_metrics_providers'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `put_pages_page_id_metrics_providers` when calling `put_pages_page_id_metrics_providers_metrics_provider_id`") # noqa: E501 collection_formats = {} path_params = {} if 'page_id' in local_var_params: path_params['page_id'] = local_var_params['page_id'] # noqa: E501 if 'metrics_provider_id' in local_var_params: path_params['metrics_provider_id'] = local_var_params['metrics_provider_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'put_pages_page_id_metrics_providers' in local_var_params: body_params = local_var_params['put_pages_page_id_metrics_providers'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['api_key'] # noqa: E501 return self.api_client.call_api( '/pages/{page_id}/metrics_providers/{metrics_provider_id}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='MetricsProvider', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats)

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0.940458

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null

0

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0

1

0

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0

null

0

8

a2c08970b30027bc6531880cf45ab9eb83efcf66

168

py

Python

sem_02/lab_04/src/queueing_system/__init__.py

bmstu-ics7/modeling

30f089cab44e8c56886acf6433abe8cc252ae722

[ "MIT" ]

2

2020-06-08T18:50:29.000Z

2021-02-27T11:20:44.000Z

lab_2/code/queueing_system/__init__.py

Winterpuma/bmstu_experiment-planning

8d0ef45432c4d058a210d896ec3342b6b8b4182d

[ "MIT" ]

null

lab_2/code/queueing_system/__init__.py

Winterpuma/bmstu_experiment-planning

8d0ef45432c4d058a210d896ec3342b6b8b4182d

[ "MIT" ]

1

2020-10-22T10:49:42.000Z

import queueing_system.exceptions import queueing_system.distribution import queueing_system.generator import queueing_system.processor import queueing_system.modeller

28

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null

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1

0

1

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7

a2c0bb0f1169524d813b1becbc92f670f6d1bf0d

4,406

py

Python

scripts/tests/test_misfit.py

mshodge/sparta

d64197d4f141269ef011525a78da5acde9d04aca

[ "MIT" ]

null

scripts/tests/test_misfit.py

mshodge/sparta

d64197d4f141269ef011525a78da5acde9d04aca

[ "MIT" ]

1

2022-03-02T12:16:15.000Z

scripts/tests/test_misfit.py

mshodge/sparta

d64197d4f141269ef011525a78da5acde9d04aca

[ "MIT" ]

null

import pytest from scripts.tests.utils.create_data import create_profile_for_calculating_misfit, create_manual_profile_for_calculating_misfit from scripts.misfit import misfit_calculation def test_misfit_calculation_average(): profile = create_profile_for_calculating_misfit() profile_manual = create_manual_profile_for_calculating_misfit() misfit_df = misfit_calculation(profile, profile_manual, method = "average", bin_max = 11, bin_min = 5, bin_step = 2, theta_T_max = 40, theta_T_min = 30, theta_T_step = 2, phi_T = 5, plot = False, save_file = False) misfit_df['misfit_height'] = misfit_df['misfit_height'].fillna(0).astype(int) misfit_df['misfit_width'] = misfit_df['misfit_width'].fillna(0).astype(int) misfit_df['misfit_slope'] = misfit_df['misfit_slope'].fillna(0).astype(int) misfit_df['misfit_total'] = misfit_df['misfit_total'].fillna(0).astype(int) assert misfit_df.loc[0].to_list() == [1, 'average', 1, 6, 1, 30, 5, 8] def test_misfit_calculation_savgol(): profile = create_profile_for_calculating_misfit() profile_manual = create_manual_profile_for_calculating_misfit() misfit_df = misfit_calculation(profile, profile_manual, method = "savgol", bin_max = 11, bin_min = 5, bin_step = 2, theta_T_max = 40, theta_T_min = 30, theta_T_step = 2, phi_T = 5, plot = False, save_file = False) misfit_df['misfit_height'] = misfit_df['misfit_height'].fillna(0).astype(int) misfit_df['misfit_width'] = misfit_df['misfit_width'].fillna(0).astype(int) misfit_df['misfit_slope'] = misfit_df['misfit_slope'].fillna(0).astype(int) misfit_df['misfit_total'] = misfit_df['misfit_total'].fillna(0).astype(int) assert misfit_df.loc[0].to_list() == [1, 'savgol', 1, 5, 4, 30, 5, 10] def test_misfit_calculation_median(): profile = create_profile_for_calculating_misfit() profile_manual = create_manual_profile_for_calculating_misfit() misfit_df = misfit_calculation(profile, profile_manual, method = "median", bin_max = 11, bin_min = 5, bin_step = 2, theta_T_max = 40, theta_T_min = 30, theta_T_step = 2, phi_T = 5, plot = False, save_file = False) misfit_df['misfit_height'] = misfit_df['misfit_height'].fillna(0).astype(int) misfit_df['misfit_width'] = misfit_df['misfit_width'].fillna(0).astype(int) misfit_df['misfit_slope'] = misfit_df['misfit_slope'].fillna(0).astype(int) misfit_df['misfit_total'] = misfit_df['misfit_total'].fillna(0).astype(int) assert misfit_df.loc[0].to_list() == [1, 'median', 0, 0, 0, 30, 5, 0] def test_misfit_calculation_lowess(): profile = create_profile_for_calculating_misfit() profile_manual = create_manual_profile_for_calculating_misfit() misfit_df = misfit_calculation(profile, profile_manual, method = "lowess", bin_max = 11, bin_min = 5, bin_step = 2, theta_T_max = 40, theta_T_min = 30, theta_T_step = 2, phi_T = 5, plot = False, save_file = False) misfit_df['misfit_height'] = misfit_df['misfit_height'].fillna(0).astype(int) misfit_df['misfit_width'] = misfit_df['misfit_width'].fillna(0).astype(int) misfit_df['misfit_slope'] = misfit_df['misfit_slope'].fillna(0).astype(int) misfit_df['misfit_total'] = misfit_df['misfit_total'].fillna(0).astype(int) assert misfit_df.loc[0].to_list() == [1, 'lowess', 1, 5, 4, 30, 5, 10] def test_misfit_calculation_no_smoothing(): profile = create_profile_for_calculating_misfit() profile_manual = create_manual_profile_for_calculating_misfit() misfit_df = misfit_calculation(profile, profile_manual, method = None, bin_max = 11, bin_min = 5, bin_step = 2, theta_T_max = 40, theta_T_min = 30, theta_T_step = 2, phi_T = 5, plot = False, save_file = False) misfit_df['misfit_height'] = misfit_df['misfit_height'].fillna(0).astype(int) misfit_df['misfit_width'] = misfit_df['misfit_width'].fillna(0).astype(int) misfit_df['misfit_slope'] = misfit_df['misfit_slope'].fillna(0).astype(int) misfit_df['misfit_total'] = misfit_df['misfit_total'].fillna(0).astype(int) assert misfit_df.loc[0].to_list() == [1, None, 0, 0, 0, 30, 5, 0]

56.487179

127

0.679528

627

4,406

4.397129

0.092504

0.145085

0.228509

0.116068

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0

0.032819

0.190876

4,406

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128

56.487179

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null

0

1

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1

0

null

0

7

a73de6c9f5c71a05c1c906d1845f2be489761184

11,425

py

Python

mxnet_benchmarks/nn_operations/loss_operations.py

sandeep-krishnamurthy/dl-operator-benchmark

965797d2b847c840a4b8ef29c70c631f6642890a

[ "Apache-2.0" ]

6

2019-05-01T22:05:05.000Z

2020-02-13T19:07:27.000Z

mxnet_benchmarks/nn_operations/loss_operations.py

sandeep-krishnamurthy/dl-operator-benchmark

965797d2b847c840a4b8ef29c70c631f6642890a

[ "Apache-2.0" ]

2

2019-11-09T06:38:09.000Z

2019-11-09T06:41:44.000Z

mxnet_benchmarks/nn_operations/loss_operations.py

sandeep-krishnamurthy/dl-operator-benchmark

965797d2b847c840a4b8ef29c70c631f6642890a

[ "Apache-2.0" ]

null

import mxnet as mx import mxnet.ndarray as nd from mxnet.gluon import loss from utils.common_utils import get_class_members_in_module from mxnet_benchmarks.MXNetOperatorBenchmark import MXNetOperatorBenchmarkBase from mxnet_benchmarks.utils.gluon_utils import block_forward_and_time from mxnet_benchmarks.utils.ndarray_utils import get_mx_ndarray """ Performance benchmark tests for MXNet Gluon Loss Layers 1. L1Loss 2. L2Loss 3. SigmoidBinaryCrossEntropyLoss 4. SoftmaxCrossEntropyLoss 5. KLDivLoss (TODO) 6. HuberLoss (TODO) 7. HingeLoss (TODO) 8. SquaredHingeLoss (TODO) 9. LogisticLoss (TODO) 10. TripletLoss (TODO) 11. CTCLoss (TODO) """ class L1Loss(MXNetOperatorBenchmarkBase): """Helps to benchmark Gluon L1Loss Block. By default, benchmarks both forward pass on the L1Loss block on pred tensor of shape (32, 1000) and Label of shape (1000,1) to mimic batch_size=32 and 1000 class classification. By default, use weight=1.0 just to force the weight computation. By default, uses 'float32' precision. """ def __init__(self, ctx=mx.cpu(), warmup=10, runs=50, inputs=None): # Set the default Inputs. # Default prediction is (32, 1000, 1) to mimic a prediction of batch_size=32 and 1000 class classification. default_parameters = {"pred": (32, 1000, 1), "pred_initializer": nd.normal, "label": (32, 1000, 1), "label_initializer": nd.normal, "weight": 1.0, "run_backward": False, "dtype": "float32"} super().__init__(ctx=ctx, warmup=warmup, runs=runs, default_parameters=default_parameters, custom_parameters=inputs) # Create a random prediction and label tensor self.pred = get_mx_ndarray(ctx=self.ctx, in_tensor=self.inputs["pred"], dtype=self.inputs["dtype"], initializer=self.inputs["pred_initializer"], attach_grad=self.inputs["run_backward"]) self.label = get_mx_ndarray(ctx=self.ctx, in_tensor=self.inputs["label"], dtype=self.inputs["dtype"], initializer=self.inputs["label_initializer"], attach_grad=self.inputs["run_backward"]) self.block = loss.L1Loss(weight=self.inputs["weight"], batch_axis=0) self.block.initialize(ctx=self.ctx) def run_benchmark(self): # Warm up, ignore execution time value _, _ = block_forward_and_time(block=self.block, runs=self.warmup, pred=self.pred, label=self.label) # Run Benchmarks exe_time, _ = block_forward_and_time(block=self.block, runs=self.runs, pred=self.pred, label=self.label) self.results["MX_Gluon_Imperative_L1Loss_Forward_Time"] = exe_time / self.runs class L2Loss(MXNetOperatorBenchmarkBase): """Helps to benchmark Gluon L2Loss Block. By default, benchmarks both forward pass on the L2Loss block on pred tensor of shape (32, 1000, 1) and Label of shape (32, 1000,1) to mimic batch_size=32 and 1000 class classification. By default, use weight=1.0 just to force the weight computation. By default, uses 'float32' precision. """ def __init__(self, ctx=mx.cpu(), warmup=10, runs=50, inputs=None): # Set the default Inputs. # Default prediction is (32, 1000, 1) to mimic a prediction of batch_size=32 and 1000 class classification. default_parameters = {"pred": (32, 1000, 1), "pred_initializer": nd.normal, "label": (32, 1000, 1), "label_initializer": nd.normal, "weight": 1.0, "run_backward": False, "dtype": "float32"} super().__init__(ctx=ctx, warmup=warmup, runs=runs, default_parameters=default_parameters, custom_parameters=inputs) # Create a random prediction and label tensor self.pred = get_mx_ndarray(ctx=self.ctx, in_tensor=self.inputs["pred"], dtype=self.inputs["dtype"], initializer=self.inputs["pred_initializer"], attach_grad=self.inputs["run_backward"]) self.label = get_mx_ndarray(ctx=self.ctx, in_tensor=self.inputs["label"], dtype=self.inputs["dtype"], initializer=self.inputs["label_initializer"], attach_grad=self.inputs["run_backward"]) self.block = loss.L2Loss(weight=self.inputs["weight"], batch_axis=0) self.block.initialize(ctx=self.ctx) def run_benchmark(self): # Warm up, ignore execution time value _, _ = block_forward_and_time(block=self.block, runs=self.warmup, pred=self.pred, label=self.label) # Run Benchmarks exe_time, _ = block_forward_and_time(block=self.block, runs=self.runs, pred=self.pred, label=self.label) self.results["MX_Gluon_Imperative_L2Loss_Forward_Time"] = exe_time / self.runs class SigmoidBinaryCrossEntropyLoss(MXNetOperatorBenchmarkBase): """Helps to benchmark Gluon SigmoidBinaryCrossEntropyLoss Block. By default, benchmarks both forward pass on the SigmoidBinaryCrossEntropyLoss block on pred tensor of shape (32, 1000, 1) and Label of shape (32, 1000,1) to mimic batch_size=32 and 1000 class classification. By default, use weight=1.0 just to force the weight computation. By default, uses 'float32' precision. """ def __init__(self, ctx=mx.cpu(), warmup=10, runs=50, inputs=None): # Set the default Inputs. # Default prediction is (32, 1000, 1) to mimic a prediction of batch_size=32 and 1000 class classification. default_parameters = {"pred": (32, 1000, 1), "pred_initializer": nd.ones, "label": (32, 1000, 1), "label_initializer": nd.zeros, "weight": 1.0, "run_backward": False, "dtype": "float32"} super().__init__(ctx=ctx, warmup=warmup, runs=runs, default_parameters=default_parameters, custom_parameters=inputs) # Create a random prediction and label tensor self.pred = get_mx_ndarray(ctx=self.ctx, in_tensor=self.inputs["pred"], dtype=self.inputs["dtype"], initializer=self.inputs["pred_initializer"], attach_grad=self.inputs["run_backward"]) self.label = get_mx_ndarray(ctx=self.ctx, in_tensor=self.inputs["label"], dtype=self.inputs["dtype"], initializer=self.inputs["label_initializer"], attach_grad=self.inputs["run_backward"]) self.block = loss.SigmoidBCELoss(from_sigmoid=False, weight=self.inputs["weight"], batch_axis=0) self.block.initialize(ctx=self.ctx) def run_benchmark(self): # Warm up, ignore execution time value _, _ = block_forward_and_time(block=self.block, runs=self.warmup, pred=self.pred, label=self.label) # Run Benchmarks exe_time, _ = block_forward_and_time(block=self.block, runs=self.runs, pred=self.pred, label=self.label) self.results["MX_Gluon_Imperative_SigmoidBinaryCrossEntropyLoss_Forward_Time"] = exe_time / self.runs class SoftmaxCrossEntropyLoss(MXNetOperatorBenchmarkBase): """Helps to benchmark Gluon SoftmaxCrossEntropyLoss Block. By default, benchmarks both forward pass on the SoftmaxCrossEntropyLoss block on pred tensor of shape (32, 1000, 1) and Label of shape (32, 1000,1) to mimic batch_size=32 and 1000 class classification. By default, use weight=1.0 just to force the weight computation. By default, uses 'float32' precision. """ def __init__(self, ctx=mx.cpu(), warmup=10, runs=50, inputs=None): # Set the default Inputs. # Default prediction is (32, 1000, 1) to mimic a prediction of batch_size=32 and 1000 class classification. default_parameters = {"pred": (32, 1000, 1), "pred_initializer": nd.normal, "label": (32, 1000, 1), "label_initializer": nd.normal, "weight": 1.0, "axis": -1, "sparse_label": False, "run_backward": False, "dtype": "float32"} super().__init__(ctx=ctx, warmup=warmup, runs=runs, default_parameters=default_parameters, custom_parameters=inputs) # Create a random prediction and label tensor self.pred = get_mx_ndarray(ctx=self.ctx, in_tensor=self.inputs["pred"], dtype=self.inputs["dtype"], initializer=self.inputs["pred_initializer"], attach_grad=self.inputs["run_backward"]) self.label = get_mx_ndarray(ctx=self.ctx, in_tensor=self.inputs["label"], dtype=self.inputs["dtype"], initializer=self.inputs["label_initializer"], attach_grad=self.inputs["run_backward"]) self.block = loss.SoftmaxCrossEntropyLoss(axis=self.inputs["axis"], sparse_label=self.inputs["sparse_label"], from_logits=False, weight=self.inputs["weight"], batch_axis=0) self.block.initialize(ctx=self.ctx) def run_benchmark(self): # Warm up, ignore execution time value _, _ = block_forward_and_time(block=self.block, runs=self.warmup, pred=self.pred, label=self.label) # Run Benchmarks exe_time, _ = block_forward_and_time(block=self.block, runs=self.runs, pred=self.pred, label=self.label) self.results["MX_Gluon_Imperative_SoftmaxCrossEntropyLoss_Forward_Time"] = exe_time / self.runs # Utilities def run_all_gluon_nn_loss_operations_benchmarks(ctx, inputs): """Helper to run all Gluon Loss Layer benchmarks. Just runs the benchmarks with default input values. This is just a utility to run benchmarks with all default input values. :return: list[dict], list of dictionary of benchmark results. Each item in the list is a dictionary of benchmark results per operator. """ nn_loss_operations_results = [] members = get_class_members_in_module(__name__) for _, cls in members: benchmark_ref = cls(ctx=ctx, inputs=inputs) benchmark_ref.run_benchmark() benchmark_ref.print_benchmark_results() nn_loss_operations_results.append(benchmark_ref.get_benchmark_results()) return nn_loss_operations_results

47.016461

116

0.602451

1,307

11,425

5.081867

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0.057212

0.01897

0.025745

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0.303457

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1

0

null

0

1

0

7

a774c9cab86b1183c4d849c10340af62dbb3978d

19,190

py

Python

extensions/arcade/tests/test_xo_txn_family.py

jrineck/sawtooth-core

e3eb79f32c97a25993c87eda7f77a02fd2086c7c

[ "Apache-2.0" ]

null

extensions/arcade/tests/test_xo_txn_family.py

jrineck/sawtooth-core

e3eb79f32c97a25993c87eda7f77a02fd2086c7c

[ "Apache-2.0" ]

null

extensions/arcade/tests/test_xo_txn_family.py

jrineck/sawtooth-core

e3eb79f32c97a25993c87eda7f77a02fd2086c7c

[ "Apache-2.0" ]

null

# Copyright 2016 Intel Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ------------------------------------------------------------------------------ import logging import unittest from gossip import signed_object from journal import global_store_manager from sawtooth_xo.txn_family import XoTransaction class TestSawtoothXoTxnFamily(unittest.TestCase): @classmethod def setUpClass(cls): logger = logging.getLogger() # We need DEBUG level since some is_valid() failures get logged with # DEBUG logger.setLevel(logging.DEBUG) handler = logging.StreamHandler() logger.addHandler(handler) def test_xo_transaction_is_valid_no_signature(self): store = global_store_manager.KeyValueStore() transaction = XoTransaction({ 'Action': 'CREATE', 'Name': 'game000' }) self.assertFalse(transaction.is_valid(store)) def test_xo_transaction_is_valid_missing_name(self): key = signed_object.generate_signing_key() store = global_store_manager.KeyValueStore() transaction = XoTransaction({ 'Action': 'CREATE' }) transaction.sign_object(key) self.assertFalse(transaction.is_valid(store)) def test_xo_transaction_is_valid_missing_action(self): key = signed_object.generate_signing_key() store = global_store_manager.KeyValueStore() transaction = XoTransaction({ 'Name': 'game000' }) transaction.sign_object(key) self.assertFalse(transaction.is_valid(store)) def test_xo_transaction_is_valid_invalid_action(self): key = signed_object.generate_signing_key() store = global_store_manager.KeyValueStore() transaction = XoTransaction({ 'Action': 'INVALID', 'Name': 'game000' }) transaction.sign_object(key) self.assertFalse(transaction.is_valid(store)) def test_xo_transaction_is_valid_create_same_name(self): key = signed_object.generate_signing_key() store = global_store_manager.KeyValueStore() store.set('game000', '{}') transaction = XoTransaction({ 'Action': 'CREATE', 'Name': 'game000' }) transaction.sign_object(key) self.assertFalse(transaction.is_valid(store)) def test_xo_transaction_is_valid_take_missing_space(self): key = signed_object.generate_signing_key() store = global_store_manager.KeyValueStore() store.set('game000', '{}') transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000' }) transaction.sign_object(key) self.assertFalse(transaction.is_valid(store)) def test_xo_transaction_is_valid_invalid_space(self): key = signed_object.generate_signing_key() store = global_store_manager.KeyValueStore() # Create the game transaction = XoTransaction({ 'Action': 'CREATE', 'Name': 'game000' }) transaction.sign_object(key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P1-NEXT') self.assertEquals(store['game000']['Board'], '---------') for space in [0, 10]: transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': space }) transaction.sign_object(key) self.assertFalse(transaction.is_valid(store)) def test_xo_transaction_is_valid_no_game(self): key = signed_object.generate_signing_key() store = global_store_manager.KeyValueStore() transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 1 }) transaction.sign_object(key) self.assertFalse(transaction.is_valid(store)) def test_xo_transaction_game_p1_wins(self): player1_key = signed_object.generate_signing_key() player2_key = signed_object.generate_signing_key() store = global_store_manager.KeyValueStore() # Create the game transaction = XoTransaction({ 'Action': 'CREATE', 'Name': 'game000' }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P1-NEXT') self.assertEquals(store['game000']['Board'], '---------') # Take space 1 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 1 }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P2-NEXT') self.assertEquals(store['game000']['Board'], 'X--------') # Take space 2 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 2 }) transaction.sign_object(player2_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P1-NEXT') self.assertEquals(store['game000']['Board'], 'XO-------') # Make sure it isn't valid to take space 2 again transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 2 }) transaction.sign_object(player1_key) self.assertFalse(transaction.is_valid(store)) # Make sure Player 2 can't go on Player 1's turn. transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 3 }) transaction.sign_object(player2_key) self.assertFalse(transaction.is_valid(store)) # Take space 4 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 4 }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P2-NEXT') self.assertEquals(store['game000']['Board'], 'XO-X-----') # Make sure Player 1 can't go on Player 2's turn. transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 9 }) transaction.sign_object(player1_key) self.assertFalse(transaction.is_valid(store)) # Take space 9 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 9 }) transaction.sign_object(player2_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P1-NEXT') self.assertEquals(store['game000']['Board'], 'XO-X----O') # Take space 7 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 7 }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P1-WIN') self.assertEquals(store['game000']['Board'], 'XO-X--X-O') # Make sure we can't modify the game anymore transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 3 }) transaction.sign_object(player2_key) self.assertFalse(transaction.is_valid(store)) def test_xo_transaction_game_p2_wins(self): player1_key = signed_object.generate_signing_key() player2_key = signed_object.generate_signing_key() store = global_store_manager.KeyValueStore() # Create the game transaction = XoTransaction({ 'Action': 'CREATE', 'Name': 'game000' }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P1-NEXT') self.assertEquals(store['game000']['Board'], '---------') # Take space 1 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 1 }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P2-NEXT') self.assertEquals(store['game000']['Board'], 'X--------') # Take space 2 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 2 }) transaction.sign_object(player2_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P1-NEXT') self.assertEquals(store['game000']['Board'], 'XO-------') # Take space 4 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 4 }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P2-NEXT') self.assertEquals(store['game000']['Board'], 'XO-X-----') # Take space 8 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 8 }) transaction.sign_object(player2_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P1-NEXT') self.assertEquals(store['game000']['Board'], 'XO-X---O-') # Take space 9 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 9 }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P2-NEXT') self.assertEquals(store['game000']['Board'], 'XO-X---OX') # Take space 5 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 5 }) transaction.sign_object(player2_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P2-WIN') self.assertEquals(store['game000']['Board'], 'XO-XO--OX') def test_xo_transaction_game_tie(self): player1_key = signed_object.generate_signing_key() player2_key = signed_object.generate_signing_key() store = global_store_manager.KeyValueStore() # Create the game transaction = XoTransaction({ 'Action': 'CREATE', 'Name': 'game000' }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P1-NEXT') self.assertEquals(store['game000']['Board'], '---------') # Take space 1 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 1 }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P2-NEXT') self.assertEquals(store['game000']['Board'], 'X--------') # Take space 2 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 2 }) transaction.sign_object(player2_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P1-NEXT') self.assertEquals(store['game000']['Board'], 'XO-------') # Take space 4 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 4 }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P2-NEXT') self.assertEquals(store['game000']['Board'], 'XO-X-----') # Take space 5 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 5 }) transaction.sign_object(player2_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P1-NEXT') self.assertEquals(store['game000']['Board'], 'XO-XO----') # Take space 8 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 8 }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P2-NEXT') self.assertEquals(store['game000']['Board'], 'XO-XO--X-') # Take space 7 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 7 }) transaction.sign_object(player2_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P1-NEXT') self.assertEquals(store['game000']['Board'], 'XO-XO-OX-') # Take space 3 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 3 }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P2-NEXT') self.assertEquals(store['game000']['Board'], 'XOXXO-OX-') # Take space 6 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 6 }) transaction.sign_object(player2_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'P1-NEXT') self.assertEquals(store['game000']['Board'], 'XOXXOOOX-') # Take space 9 transaction = XoTransaction({ 'Action': 'TAKE', 'Name': 'game000', 'Space': 9 }) transaction.sign_object(player1_key) self.assertTrue(transaction.is_valid(store)) transaction.apply(store) self.assertIn('game000', store) self.assertIn('Board', store['game000']) self.assertIn('State', store['game000']) self.assertEquals(store['game000']['State'], 'TIE') self.assertEquals(store['game000']['Board'], 'XOXXOOOXX')

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null

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a7b8208580aaaeade5ddea41f34b194d503ce555

73

py

Python

taobao-tianmao/dingtalk/api/__init__.py

ScottLeeF/python-example

0b230ba80fe5020d70329a9d73e058013f0ca111

[ "Apache-2.0" ]

null

taobao-tianmao/dingtalk/api/__init__.py

ScottLeeF/python-example

0b230ba80fe5020d70329a9d73e058013f0ca111

[ "Apache-2.0" ]

7

2021-03-19T02:12:42.000Z

2022-03-12T00:25:28.000Z

taobao-tianmao/dingtalk/api/__init__.py

ScottLeeF/python-example

0b230ba80fe5020d70329a9d73e058013f0ca111

[ "Apache-2.0" ]

null

from dingtalk.api.base import FileItem from dingtalk.api.rest import *

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null

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7

38f3e902d95a584b7c067058683b4aaae2652e6e

3,362

py

Python

graphtheory/hamiltonian/tspmst.py

gitter-badger/graphs-dict

2be1a5b140feb050eec799d6cadf6de5eef01745

[ "BSD-3-Clause" ]

36

2015-09-20T20:55:39.000Z

2021-09-20T05:49:03.000Z

graphtheory/hamiltonian/tspmst.py

gitter-badger/graphs-dict

2be1a5b140feb050eec799d6cadf6de5eef01745

[ "BSD-3-Clause" ]

6

2016-03-25T21:41:46.000Z

2020-02-12T03:18:59.000Z

graphtheory/hamiltonian/tspmst.py

gitter-badger/graphs-dict

2be1a5b140feb050eec799d6cadf6de5eef01745

[ "BSD-3-Clause" ]

9

2016-09-12T07:57:27.000Z

2022-03-21T16:15:39.000Z

#!/usr/bin/python try: integer_types = (int, long) except NameError: # Python 3 integer_types = (int,) xrange = range from graphtheory.spanningtrees.prim import PrimMatrixMSTWithEdges from graphtheory.traversing.dfs import SimpleDFS class PrimTSPWithEdges: """The minimum spanning tree algorithm for Metric TSP. Attributes ---------- graph : input weighted complete graph hamiltonian_cycle : list of edges source : starting node """ def __init__(self, graph): """The algorithm initialization.""" if graph.is_directed(): raise ValueError("the graph is directed") self.graph = graph self.hamiltonian_cycle = list() self.source = None def run(self, source=None): """Executable pseudocode.""" if source is None: source = next(self.graph.iternodes()) self.source = source algorithm = PrimMatrixMSTWithEdges(self.graph) # O(V**2) time algorithm.run(self.source) self.mst = algorithm.to_tree() # Obchodzenie MST w kolejnosci preorder z uzyciem DFS. # Hamiltonian cycle as a list of nodes. order = list() algorithm = SimpleDFS(self.mst) # O(V) time algorithm.run(self.source, pre_action=lambda node: order.append(node)) order.append(self.source) # close cycle, length V+1 # Finding edges for the Hamiltonian cycle, O(V**2) time. for i in xrange(self.graph.v()): source = order[i] target = order[i+1] for edge in self.graph.iteroutedges(source): if edge.target == target: self.hamiltonian_cycle.append(edge) break class PrimTSPWithGraph: """The minimum spanning tree algorithm for Metric TSP. Attributes ---------- graph : input weighted complete graph hamiltonian_cycle : cycle graph source : starting node """ def __init__(self, graph): """The algorithm initialization.""" if graph.is_directed(): raise ValueError("the graph is directed") self.graph = graph self.hamiltonian_cycle = self.graph.__class__(self.graph.v()) for node in self.graph.iternodes(): self.hamiltonian_cycle.add_node(node) self.source = None def run(self, source=None): """Executable pseudocode.""" if source is None: source = next(self.graph.iternodes()) self.source = source algorithm = PrimMatrixMSTWithEdges(self.graph) # O(V**2) time algorithm.run(self.source) self.mst = algorithm.to_tree() # Obchodzenie MST w kolejnosci preorder z uzyciem DFS. # Hamiltonian cycle as a list of nodes. order = list() algorithm = SimpleDFS(self.mst) # O(V) time algorithm.run(self.source, pre_action=lambda node: order.append(node)) order.append(self.source) # close cycle, length V+1 # Finding edges for the Hamiltonian cycle, O(V**2) time. for i in xrange(self.graph.v()): source = order[i] target = order[i+1] for edge in self.graph.iteroutedges(source): if edge.target == target: self.hamiltonian_cycle.add_edge(edge) break # EOF

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null

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7

3bbbfcf1e5b7529c7dbe3aff0a1cf01e76d0faf8

5,778

py

Python

data/scripts/attributes/StaticNPCAttributeTemplate.py

obi-two/GameServer

7d37024e2291a97d49522610cd8f1dbe5666afc2

[ "MIT" ]

20

2015-02-23T15:11:56.000Z

2022-03-18T20:56:48.000Z

data/scripts/attributes/StaticNPCAttributeTemplate.py

apathyboy/swganh

665128efe9154611dec4cb5efc61d246dd095984

[ "MIT" ]

null

data/scripts/attributes/StaticNPCAttributeTemplate.py

apathyboy/swganh

665128efe9154611dec4cb5efc61d246dd095984

[ "MIT" ]

20

2015-04-04T16:35:59.000Z

2022-03-24T14:54:37.000Z

import swgpy from swgpy.object import * from swgpy.attributes import * from attributes.AttributeHelpers import SetOptionalAttribute class StaticNPCAttributeTemplate(BaseAttributeTemplate): def buildAttributeTemplate(self, object): attribute_list_message = AttributeListMessage() attribute_list_message.object_id = object.id attributes = AttributeList() if len(object.custom_name) > 0: attributes.append("@obj_attr_n:original_name", "@" + object.stf_file + ":" + object.stf_name) attributes.extend([ Attribute("@obj_attr_n:condition", str(object.max_condition-object.condition_damage) + "/" + str(object.max_condition)), Attribute("@obj_attr_n:volume", str(object.volume)), Attribute("@obj_attr_n:armor_rating", object.getStringAttribute("armor_rating")) ]) SetOptionalAttribute(attributes, "cat_armor_special_protection.@obj_attr_n:armor_eff_kinetic", "cat_armor_special_protection.armor_eff_kinetic", object, True); SetOptionalAttribute(attributes, "cat_armor_special_protection.@obj_attr_n:armor_eff_energy", "cat_armor_special_protection.armor_eff_energy", object, True); SetOptionalAttribute(attributes, "cat_armor_special_protection.@obj_attr_n:armor_eff_blast", "cat_armor_special_protection.armor_eff_blast", object, True); SetOptionalAttribute(attributes, "cat_armor_special_protection.@obj_attr_n:armor_eff_stun", "cat_armor_special_protection.armor_eff_stun", object, True); SetOptionalAttribute(attributes, "cat_armor_special_protection.@obj_attr_n:armor_eff_elemental_heat", "cat_armor_special_protection.armor_eff_elemental_heat", object, True); SetOptionalAttribute(attributes, "cat_armor_special_protection.@obj_attr_n:armor_eff_elemental_cold", "cat_armor_special_protection.armor_eff_elemental_cold", object, True); SetOptionalAttribute(attributes, "cat_armor_special_protection.@obj_attr_n:armor_eff_elemental_acid", "cat_armor_special_protection.armor_eff_elemental_acid", object, True); SetOptionalAttribute(attributes, "cat_armor_special_protection.@obj_attr_n:armor_eff_elemental_electrical", "cat_armor_special_protection.armor_eff_elemental_electrical", object, True); SetOptionalAttribute(attributes, "cat_armor_special_protection.@obj_attr_n:armor_eff_restraint", "cat_armor_special_protection.armor_eff_restraint", object, True); SetOptionalAttribute(attributes, "cat_armor_effectiveness.@obj_attr_n:armor_eff_kinetic", "cat_armor_effectiveness.armor_eff_restraint", object, True); SetOptionalAttribute(attributes, "cat_armor_effectiveness.@obj_attr_n:armor_eff_energy", "cat_armor_effectiveness.armor_eff_energy", object, True); SetOptionalAttribute(attributes, "cat_armor_effectiveness.@obj_attr_n:armor_eff_blast", "cat_armor_effectiveness.armor_eff_blast", object, True); SetOptionalAttribute(attributes, "cat_armor_effectiveness.@obj_attr_n:armor_eff_stun", "cat_armor_effectiveness.armor_eff_stun", object, True); SetOptionalAttribute(attributes, "cat_armor_effectiveness.@obj_attr_n:armor_eff_elemental_heat", "cat_armor_effectiveness.armor_eff_elemental_heat", object, True); SetOptionalAttribute(attributes, "cat_armor_effectiveness.@obj_attr_n:armor_eff_elemental_cold", "cat_armor_effectiveness.armor_eff_elemental_cold", object, True); SetOptionalAttribute(attributes, "cat_armor_effectiveness.@obj_attr_n:armor_eff_elemental_acid", "cat_armor_effectiveness.armor_eff_elemental_acid", object, True); SetOptionalAttribute(attributes, "cat_armor_effectiveness.@obj_attr_n:armor_eff_elemental_electrical", "cat_armor_effectiveness.armor_eff_elemental_electrical", object, True); SetOptionalAttribute(attributes, "cat_armor_effectiveness.@obj_attr_n:armor_eff_restraint", "cat_armor_effectiveness.armor_eff_restraint", object, True); SetOptionalAttribute(attributes, "cat_armor_vulnerability.@obj_attr_n:armor_eff_kinetic", "cat_armor_vulnerability.armor_eff_kinetic", object, True); SetOptionalAttribute(attributes, "cat_armor_vulnerability.@obj_attr_n:armor_eff_energy", "cat_armor_vulnerability.armor_eff_energy", object, True); SetOptionalAttribute(attributes, "cat_armor_vulnerability.@obj_attr_n:armor_eff_blast", "cat_armor_vulnerability.armor_eff_blast", object, True); SetOptionalAttribute(attributes, "cat_armor_vulnerability.@obj_attr_n:armor_eff_stun", "cat_armor_vulnerability.armor_eff_stun", object, True); SetOptionalAttribute(attributes, "cat_armor_vulnerability.@obj_attr_n:armor_eff_elemental_heat", "cat_armor_vulnerability.armor_eff_elemental_heat", object, True); SetOptionalAttribute(attributes, "cat_armor_vulnerability.@obj_attr_n:armor_eff_elemental_cold", "cat_armor_vulnerability.armor_eff_elemental_cold", object, True); SetOptionalAttribute(attributes, "cat_armor_vulnerability.@obj_attr_n:armor_eff_elemental_acid", "cat_armor_vulnerability.armor_eff_elemental_acid", object, True); SetOptionalAttribute(attributes, "cat_armor_vulnerability.@obj_attr_n:armor_eff_elemental_electrical", "cat_armor_vulnerability.armor_eff_elemental_electrical", object, True); SetOptionalAttribute(attributes, "cat_armor_vulnerability.@obj_attr_n:armor_eff_restraint", "cat_armor_vulnerability.armor_eff_restraint", object, True); SetOptionalAttribute(attributes, "cat_armor_encumbrance.@obj_attr_n:armor_health_encumbrance", "cat_armor_encumbrance.armor_health_encumbrance", object, True); SetOptionalAttribute(attributes, "cat_armor_encumbrance.@obj_attr_n:armor_action_encumbrance", "cat_armor_encumbrance.armor_action_encumbrance", object, True); SetOptionalAttribute(attributes, "cat_armor_encumbrance.@obj_attr_n:armor_mind_encumbrance", "cat_armor_encumbrance.armor_mind_encumbrance", object, True); attribute_list_message.attributes = attributes return attribute_list_message

120.375

189

0.84441

711

5,778

6.344585

0.087201

0.106407

0.060297

0.089337

0.84305

0.796719

0.754822

0.739747

0.696076

0.623808

0

0.000184

0.061094

5,778

48

190

120.375

0.831336

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0.557363

0.551653

0

1

0.020833

false

0

0.083333

0

0.145833

0

null

0

1

0

1

0

1

0

1

null

0

7

3be7630c47b46a8431b379b65b99ea61bfb090a0

266

py

Python

spkcspider/apps/spider/views/__init__.py

devkral/spkbspider

97e448b4da412acebd66c4469c7fcdd07bf90ed2

[ "MIT" ]

5

2019-06-24T14:15:54.000Z

2021-05-14T23:16:31.000Z

spkcspider/apps/spider/views/__init__.py

devkral/spkbspider

97e448b4da412acebd66c4469c7fcdd07bf90ed2

[ "MIT" ]

2

2018-06-19T09:56:18.000Z

2018-11-20T12:02:44.000Z

spkcspider/apps/spider/views/__init__.py

devkral/spkbspider

97e448b4da412acebd66c4469c7fcdd07bf90ed2

[ "MIT" ]

null

from ._components import * # noqa: F403, F401 from ._contents import * # noqa: F403, F401 from ._core import * # noqa: F403, F401 from ._deletion import * # noqa: F403, F401 from ._referrer import * # noqa: F403, F401 from ._tokens import * # noqa: F403, F401

38

46

0.684211

36

266

4.888889

0.305556

0.340909

0.477273

0.613636

0.625

0

0.169811

0.203008

266

6

47

44.333333

0.660377

0.379699

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

ce1a75b1b4e54e25d789423da3fddcbe6fc52b83

44,486

py

Python

test/hummingbot/strategy/test_hanging_orders_tracker.py

phbrgnomo/hummingbot

72382954a06a277248f44b321344186aef1c367c

[ "Apache-2.0" ]

1

2021-08-23T03:18:26.000Z

test/hummingbot/strategy/test_hanging_orders_tracker.py

phbrgnomo/hummingbot

72382954a06a277248f44b321344186aef1c367c

[ "Apache-2.0" ]

null

test/hummingbot/strategy/test_hanging_orders_tracker.py

phbrgnomo/hummingbot

72382954a06a277248f44b321344186aef1c367c

[ "Apache-2.0" ]

1

2021-12-09T20:58:26.000Z

from datetime import datetime import logging import unittest from decimal import Decimal from mock import MagicMock, patch, PropertyMock from hummingbot.core.event.events import MarketEvent, OrderCancelledEvent, BuyOrderCompletedEvent from hummingbot.strategy.hanging_orders_tracker import HangingOrdersTracker, HangingOrdersAggregationType from hummingbot.strategy.data_types import HangingOrder, OrderType from hummingbot.core.data_type.limit_order import LimitOrder class TestHangingOrdersTracker(unittest.TestCase): def setUp(self) -> None: super().setUp() self.current_market_price = Decimal("100.0") self.strategy = self.create_mock_strategy() self.tracker = HangingOrdersTracker(self.strategy, hanging_orders_cancel_pct=Decimal("0.1")) @staticmethod def quantize_order_amount(trading_pair: str, amount: Decimal): return amount.quantize(Decimal("0.00001")) @staticmethod def quantize_order_price(trading_pair: str, price: Decimal): return price.quantize(Decimal("0.00001")) def create_mock_strategy(self): market = MagicMock() market.quantize_order_amount.side_effect = self.quantize_order_amount market.quantize_order_price.side_effect = self.quantize_order_price market.get_maker_order_type.return_value = OrderType.LIMIT market_info = MagicMock() market_info.market = market strategy = MagicMock() type(strategy).max_order_age = PropertyMock(return_value=1800.0) type(strategy).order_refresh_time = PropertyMock(return_value=45.0) strategy.get_price.return_value = self.current_market_price type(strategy).market_info = PropertyMock(return_value=market_info) type(strategy).trading_pair = PropertyMock(return_value="BTC-USDT") return strategy def test_tracker_initialized(self): self.assertEqual(self.tracker.trading_pair, "BTC-USDT") self.assertEqual(self.tracker.original_orders, set()) self.assertEqual(self.tracker.strategy_current_hanging_orders, set()) self.assertEqual(self.tracker.current_created_pairs_of_orders, list()) def test_add_remove_limit_order(self): order_to_add = LimitOrder("Order-number-1", "BTC-USDT", True, "BTC", "USDT", Decimal(100), Decimal(1)) self.tracker.add_order(order_to_add) self.assertEqual(len(self.tracker.original_orders), 1) order_that_doesnt_belong = LimitOrder("Order-number-2", "BTC-USDT", True, "BTC", "USDT", Decimal(100), Decimal(1)) self.tracker.remove_order(order_that_doesnt_belong) self.assertEqual(len(self.tracker.original_orders), 1) self.tracker.remove_order(order_to_add) self.assertEqual(len(self.tracker.original_orders), 0) self.tracker.add_order(LimitOrder("Order-number-3", "BTC-USDT", True, "BTC", "USDT", Decimal(100), Decimal(1))) self.tracker.add_order(LimitOrder("Order-number-4", "BTC-USDT", True, "BTC", "USDT", Decimal(100), Decimal(1))) self.tracker.remove_all_orders() self.assertEqual(len(self.tracker.original_orders), 0) def test_renew_hanging_orders_past_max_order_age(self): cancelled_orders_ids = [] strategy_active_orders = [] type(self.strategy).current_timestamp = PropertyMock(return_value=1234967891) type(self.strategy).active_orders = PropertyMock(return_value=strategy_active_orders) self.strategy.cancel_order.side_effect = lambda order_id: cancelled_orders_ids.append(order_id) self.strategy.buy_with_specific_market.return_value = "Order-1234569990000000" # Order just executed new_order = LimitOrder("Order-1234567890000000", "BTC-USDT", True, "BTC", "USDT", Decimal(101), Decimal(1)) # Order executed 1900 seconds ago old_order = LimitOrder("Order-1234565991000000", "BTC-USDT", True, "BTC", "USDT", Decimal(105), Decimal(1)) self.tracker.add_order(new_order) strategy_active_orders.append(new_order) self.tracker.add_order(old_order) strategy_active_orders.append(old_order) self.tracker.update_strategy_orders_with_equivalent_orders() self.assertTrue(any(order.trading_pair == "BTC-USDT" and order.price == Decimal(105) for order in self.tracker.strategy_current_hanging_orders)) # When calling the renew logic, the old order should start the renew process (it should be canceled) # but it will only stop being a current hanging order once the cancel confirmation arrives self.tracker.process_tick() self.assertTrue(old_order.client_order_id in cancelled_orders_ids) self.assertTrue(any(order.trading_pair == "BTC-USDT" and order.price == Decimal(105) for order in self.tracker.strategy_current_hanging_orders)) # When the cancel is confirmed the order should no longer be considered a hanging order strategy_active_orders.remove(old_order) self.tracker._did_cancel_order(MarketEvent.OrderCancelled, self, OrderCancelledEvent(old_order.client_order_id, old_order.client_order_id)) self.assertFalse(any(order.order_id == old_order.client_order_id for order in self.tracker.strategy_current_hanging_orders)) self.assertTrue(any(order.order_id == "Order-1234569990000000" for order in self.tracker.strategy_current_hanging_orders)) def test_hanging_order_being_renewed_discarded_if_not_current_hanging_order_after_cancel(self): cancelled_orders_ids = [] strategy_active_orders = [] newly_created_orders_ids = ["Order-1234569990000000", "Order-1234570000000000"] type(self.strategy).current_timestamp = PropertyMock(return_value=1234900000) type(self.strategy).active_orders = PropertyMock(return_value=strategy_active_orders) self.strategy.cancel_order.side_effect = lambda order_id: cancelled_orders_ids.append(order_id) self.strategy.buy_with_specific_market.side_effect = newly_created_orders_ids self.tracker.set_aggregation_method(HangingOrdersAggregationType.VOLUME_TIME_WEIGHTED) # Order just executed new_order = LimitOrder("Order-1234567890000000", "BTC-USDT", True, "BTC", "USDT", Decimal(101), Decimal(1)) # Order executed 1900 seconds ago old_order = LimitOrder("Order-1234565991000000", "BTC-USDT", True, "BTC", "USDT", Decimal(105), Decimal(1)) self.tracker.add_order(old_order) strategy_active_orders.append(old_order) self.tracker.update_strategy_orders_with_equivalent_orders() # A new order should have been created. self.assertTrue(any(order.order_id == newly_created_orders_ids[0] for order in self.tracker.strategy_current_hanging_orders)) hanging_order = next(iter(self.tracker.strategy_current_hanging_orders)) strategy_active_orders.append(LimitOrder(hanging_order.order_id, hanging_order.trading_pair, hanging_order.is_buy, hanging_order.base_asset, hanging_order.quote_asset, hanging_order.price, hanging_order.amount)) # When calling the renew logic, the old order should start the renew process (it should be canceled) # but it will only stop being a current hanging order once the cancel confirmation arrives self.tracker.process_tick() self.assertTrue(newly_created_orders_ids[0] in cancelled_orders_ids) self.assertTrue(any(order.order_id == newly_created_orders_ids[0] for order in self.tracker.strategy_current_hanging_orders)) # Before cancellation is confirmed a new order is added to the tracker, generating a new grouped hanging order self.tracker.add_order(new_order) strategy_active_orders.append(new_order) self.tracker.update_strategy_orders_with_equivalent_orders() # When the cancel is confirmed the order should no longer be considered a hanging order strategy_active_orders.remove(old_order) self.tracker._did_cancel_order(MarketEvent.OrderCancelled, self, OrderCancelledEvent(old_order.client_order_id, old_order.client_order_id)) self.assertFalse(any(order.order_id == old_order.client_order_id for order in self.tracker.strategy_current_hanging_orders)) self.assertTrue(any(order.order_id == "Order-1234569990000000" for order in self.tracker.strategy_current_hanging_orders)) def test_asymmetrical_volume_weighted(self): # Asymmetrical in distance to mid-price and amounts self.tracker.add_order(LimitOrder("Order-number-1", "BTC-USDT", True, "BTC", "USDT", Decimal(99), Decimal(2))) self.tracker.add_order(LimitOrder("Order-number-2", "BTC-USDT", True, "BTC", "USDT", Decimal(95), Decimal(1))) self.tracker.add_order(LimitOrder("Order-number-3", "BTC-USDT", False, "BTC", "USDT", Decimal(94), Decimal(6))) self.tracker.add_order(LimitOrder("Order-number-4", "BTC-USDT", False, "BTC", "USDT", Decimal(109), Decimal(5))) self.tracker.set_aggregation_method(HangingOrdersAggregationType.VOLUME_WEIGHTED) self.tracker.update_strategy_orders_with_equivalent_orders() self.assertEqual(self.tracker.strategy_current_hanging_orders, {HangingOrder(order_id=None, trading_pair='BTC-USDT', is_buy=True, price=Decimal('97.66667'), amount=Decimal('3.00000')), HangingOrder(order_id=None, trading_pair='BTC-USDT', is_buy=False, price=Decimal('107.36364'), amount=Decimal('11.00000'))}) def test_symmetrical_volume_weighted(self): # Symmetrical in distance to mid-price and amounts self.tracker.add_order(LimitOrder("Order-number-1", "BTC-USDT", True, "BTC", "USDT", Decimal(99), Decimal(6))) self.tracker.add_order(LimitOrder("Order-number-2", "BTC-USDT", True, "BTC", "USDT", Decimal(91), Decimal(5))) self.tracker.add_order(LimitOrder("Order-number-3", "BTC-USDT", False, "BTC", "USDT", Decimal(101), Decimal(6))) self.tracker.add_order(LimitOrder("Order-number-4", "BTC-USDT", False, "BTC", "USDT", Decimal(109), Decimal(5))) self.tracker.set_aggregation_method(HangingOrdersAggregationType.VOLUME_WEIGHTED) self.tracker.update_strategy_orders_with_equivalent_orders() self.assertEqual(self.tracker.strategy_current_hanging_orders, {HangingOrder(order_id=None, trading_pair='BTC-USDT', is_buy=True, price=Decimal('95.36364'), amount=Decimal('11.00000')), HangingOrder(order_id=None, trading_pair='BTC-USDT', is_buy=False, price=Decimal('104.63636'), amount=Decimal('11.00000'))}) def test_asymmetrical_volume_age_weighted(self): current_time_mock = 1234567891 self.tracker.add_order(LimitOrder(f"Order-{current_time_mock - 500}000000", "BTC-USDT", True, "BTC", "USDT", Decimal(99), Decimal(2))) self.tracker.add_order(LimitOrder(f"Order-{current_time_mock - 600}000000", "BTC-USDT", True, "BTC", "USDT", Decimal(95), Decimal(1))) self.tracker.add_order(LimitOrder(f"Order-{current_time_mock - 700}000000", "BTC-USDT", True, "BTC", "USDT", Decimal(94), Decimal(6))) self.tracker.add_order(LimitOrder(f"Order-{current_time_mock - 800}000000", "BTC-USDT", False, "BTC", "USDT", Decimal(109), Decimal(5))) with patch('time.time', return_value=current_time_mock): self.tracker.set_aggregation_method(HangingOrdersAggregationType.VOLUME_TIME_WEIGHTED) self.tracker.update_strategy_orders_with_equivalent_orders() self.assertEqual(self.tracker.strategy_current_hanging_orders, {HangingOrder(order_id=None, trading_pair='BTC-USDT', is_buy=True, price=Decimal('95.31641'), amount=Decimal('9.00000')), HangingOrder(order_id=None, trading_pair='BTC-USDT', is_buy=False, price=Decimal('109.00000'), amount=Decimal('5.00000'))}) def test_symmetrical_volume_age_weighted(self): # Symmetrical in distance to mid-price and amounts, BUT different ages current_time_mock = 1234567891 self.tracker.add_order(LimitOrder(f"Order-{current_time_mock - 300}000000", "BTC-USDT", True, "BTC", "USDT", Decimal(99), Decimal(6))) self.tracker.add_order(LimitOrder(f"Order-{current_time_mock - 600}000000", "BTC-USDT", True, "BTC", "USDT", Decimal(91), Decimal(5))) self.tracker.add_order(LimitOrder(f"Order-{current_time_mock - 800}000000", "BTC-USDT", False, "BTC", "USDT", Decimal(101), Decimal(6))) self.tracker.add_order(LimitOrder(f"Order-{current_time_mock - 1200}000000", "BTC-USDT", False, "BTC", "USDT", Decimal(109), Decimal(5))) with patch('time.time', return_value=current_time_mock): self.tracker.set_aggregation_method(HangingOrdersAggregationType.VOLUME_TIME_WEIGHTED) self.tracker.update_strategy_orders_with_equivalent_orders() self.assertEqual(self.tracker.strategy_current_hanging_orders, {HangingOrder(order_id=None, trading_pair='BTC-USDT', is_buy=True, price=Decimal('95.69098'), amount=Decimal('11.00000')), HangingOrder(order_id=None, trading_pair='BTC-USDT', is_buy=False, price=Decimal('104.20177'), amount=Decimal('11.00000'))}) def test_asymmetrical_volume_distance_weighted(self): # Asymmetrical in distance to mid-price and amounts, BUT with distance affecting the weight exponentially self.tracker.add_order(LimitOrder("Order-number-1", "BTC-USDT", True, "BTC", "USDT", Decimal(99), Decimal(2))) self.tracker.add_order(LimitOrder("Order-number-2", "BTC-USDT", True, "BTC", "USDT", Decimal(95), Decimal(1))) self.tracker.add_order(LimitOrder("Order-number-3", "BTC-USDT", False, "BTC", "USDT", Decimal(94), Decimal(6))) self.tracker.add_order(LimitOrder("Order-number-4", "BTC-USDT", False, "BTC", "USDT", Decimal(109), Decimal(5))) self.tracker.set_aggregation_method(HangingOrdersAggregationType.VOLUME_DISTANCE_WEIGHTED) self.tracker.update_strategy_orders_with_equivalent_orders() self.assertEqual(self.tracker.strategy_current_hanging_orders, {HangingOrder(order_id=None, trading_pair='BTC-USDT', is_buy=False, price=Decimal('107.14511'), amount=Decimal('11.00000')), HangingOrder(order_id=None, trading_pair='BTC-USDT', is_buy=True, price=Decimal('97.99590'), amount=Decimal('3.00000'))}) def test_symmetrical_volume_distance_weighted(self): # Symmetrical in distance to mid-price and amounts, BUT with distance affecting the weight exponentially self.tracker.add_order(LimitOrder("Order-number-1", "BTC-USDT", True, "BTC", "USDT", Decimal(99), Decimal(6))) self.tracker.add_order(LimitOrder("Order-number-2", "BTC-USDT", True, "BTC", "USDT", Decimal(91), Decimal(5))) self.tracker.add_order(LimitOrder("Order-number-3", "BTC-USDT", False, "BTC", "USDT", Decimal(101), Decimal(6))) self.tracker.add_order(LimitOrder("Order-number-4", "BTC-USDT", False, "BTC", "USDT", Decimal(109), Decimal(5))) self.tracker.set_aggregation_method(HangingOrdersAggregationType.VOLUME_DISTANCE_WEIGHTED) self.tracker.update_strategy_orders_with_equivalent_orders() self.assertEqual(self.tracker.strategy_current_hanging_orders, {HangingOrder(order_id=None, trading_pair='BTC-USDT', is_buy=True, price=Decimal('96.82055'), amount=Decimal('11.00000')), HangingOrder(order_id=None, trading_pair='BTC-USDT', is_buy=False, price=Decimal('103.17945'), amount=Decimal('11.00000'))}) def test_hanging_order_removed_when_cancelled(self): strategy_active_orders = [] strategy_logs = [] app_notifications = [] type(self.strategy).active_orders = PropertyMock(return_value=strategy_active_orders) self.strategy.log_with_clock.side_effect = lambda log_type, message: strategy_logs.append((log_type, message)) self.strategy.notify_hb_app.side_effect = lambda message: app_notifications.append(message) new_order = LimitOrder("Order-1234567890000000", "BTC-USDT", True, "BTC", "USDT", Decimal(101), Decimal(1)) self.tracker.add_order(new_order) strategy_active_orders.append(new_order) self.tracker.update_strategy_orders_with_equivalent_orders() # Now we simulate the order is cancelled self.tracker._did_cancel_order(MarketEvent.OrderCancelled, self, OrderCancelledEvent(new_order.client_order_id, new_order.client_order_id)) self.assertIn((logging.INFO, "(BTC-USDT) Hanging order Order-1234567890000000 cancelled."), strategy_logs) self.assertIn("(BTC-USDT) Hanging order Order-1234567890000000 cancelled.", app_notifications) self.assertTrue(len(self.tracker.strategy_current_hanging_orders) == 0) self.assertNotIn(new_order, self.tracker.original_orders) def test_grouped_hanging_order_and_original_orders_removed_when_hanging_order_completed(self): strategy_active_orders = [] newly_created_buy_orders_ids = ["Order-1234570000000000", "Order-1234570020000000", "Order-1234570040000000", "Order-1234570060000000"] newly_created_sell_orders_ids = ["Order-1234570010000000", "Order-1234570030000000", "Order-1234570050000000", "Order-1234570070000000"] type(self.strategy).active_orders = PropertyMock(return_value=strategy_active_orders) self.strategy.buy_with_specific_market.side_effect = newly_created_buy_orders_ids self.strategy.sell_with_specific_market.side_effect = newly_created_sell_orders_ids buy_order_1 = LimitOrder("Order-1234569960000000", "BTC-USDT", True, "BTC", "USDT", Decimal(101), Decimal(1)) buy_order_2 = LimitOrder("Order-1234569980000000", "BTC-USDT", True, "BTC", "USDT", Decimal(105), Decimal(1)) sell_order_1 = LimitOrder("Order-1234569970000000", "BTC-USDT", False, "BTC", "USDT", Decimal(110), Decimal(1)) sell_order_2 = LimitOrder("Order-1234569990000000", "BTC-USDT", False, "BTC", "USDT", Decimal(115), Decimal(1)) self.tracker.set_aggregation_method(HangingOrdersAggregationType.VOLUME_WEIGHTED) self.tracker.add_order(buy_order_1) strategy_active_orders.append(buy_order_1) self.tracker.add_order(buy_order_2) strategy_active_orders.append(buy_order_2) self.tracker.add_order(sell_order_1) strategy_active_orders.append(sell_order_1) self.tracker.add_order(sell_order_2) strategy_active_orders.append(sell_order_2) self.tracker.update_strategy_orders_with_equivalent_orders() buy_hanging_order = next(order for order in self.tracker.strategy_current_hanging_orders if order.is_buy) sell_hanging_order = next(order for order in self.tracker.strategy_current_hanging_orders if not order.is_buy) strategy_active_orders.remove(buy_order_1) strategy_active_orders.remove(buy_order_2) strategy_active_orders.append(buy_hanging_order) strategy_active_orders.append(sell_hanging_order) self.assertEqual(4, len(self.tracker.original_orders)) self.assertEqual(2, len(self.tracker.strategy_current_hanging_orders)) # Now we simulate the buy hanging order being fully filled strategy_active_orders.remove(buy_hanging_order) self.tracker._did_complete_buy_order(MarketEvent.BuyOrderCompleted, self, BuyOrderCompletedEvent( timestamp=datetime.now().timestamp(), order_id=buy_hanging_order.order_id, base_asset="BTC", quote_asset="USDT", fee_asset="USDT", base_asset_amount=buy_hanging_order.amount, quote_asset_amount=buy_hanging_order.amount * buy_hanging_order.price, fee_amount=Decimal(0), order_type=OrderType.LIMIT)) self.assertEqual(1, len(self.tracker.strategy_current_hanging_orders)) self.assertNotIn(buy_hanging_order, self.tracker.strategy_current_hanging_orders) self.assertEqual(2, len(self.tracker.original_orders)) self.assertTrue(all(not order.is_buy for order in self.tracker.original_orders)) # In this moment the only hanging order in the tracker is the generated by the two sells. # We add a new buy hanging order to test that fully filling the sell hanging order only removes the sells self.tracker.add_order(buy_order_1) strategy_active_orders.append(buy_order_1) self.tracker.update_strategy_orders_with_equivalent_orders() buy_hanging_order = next(order for order in self.tracker.strategy_current_hanging_orders if order.is_buy) strategy_active_orders.remove(buy_order_1) strategy_active_orders.append(buy_hanging_order) self.assertEqual(3, len(self.tracker.original_orders)) self.assertEqual(2, len(self.tracker.strategy_current_hanging_orders)) # Now we simulate the sell hanging order being fully filled strategy_active_orders.remove(sell_hanging_order) self.tracker._did_complete_sell_order(MarketEvent.BuyOrderCompleted, self, BuyOrderCompletedEvent( timestamp=datetime.now().timestamp(), order_id=sell_hanging_order.order_id, base_asset="BTC", quote_asset="USDT", fee_asset="USDT", base_asset_amount=sell_hanging_order.amount, quote_asset_amount=sell_hanging_order.amount * sell_hanging_order.price, fee_amount=Decimal(0), order_type=OrderType.LIMIT)) self.assertEqual(1, len(self.tracker.strategy_current_hanging_orders)) self.assertNotIn(sell_hanging_order, self.tracker.strategy_current_hanging_orders) self.assertEqual(1, len(self.tracker.original_orders)) self.assertTrue(all(order.is_buy for order in self.tracker.original_orders)) def test_non_grouped_hanging_order_and_original_order_removed_when_hanging_order_completed(self): strategy_active_orders = [] newly_created_buy_orders_ids = ["Order-1234570000000000", "Order-1234570020000000", "Order-1234570040000000", "Order-1234570060000000"] newly_created_sell_orders_ids = ["Order-1234570010000000", "Order-1234570030000000", "Order-1234570050000000", "Order-1234570070000000"] type(self.strategy).active_orders = PropertyMock(return_value=strategy_active_orders) self.strategy.buy_with_specific_market.side_effect = newly_created_buy_orders_ids self.strategy.sell_with_specific_market.side_effect = newly_created_sell_orders_ids buy_order_1 = LimitOrder("Order-1234569960000000", "BTC-USDT", True, "BTC", "USDT", Decimal(101), Decimal(1)) sell_order_1 = LimitOrder("Order-1234569970000000", "BTC-USDT", False, "BTC", "USDT", Decimal(110), Decimal(1)) self.tracker.set_aggregation_method(HangingOrdersAggregationType.NO_AGGREGATION) self.tracker.add_order(buy_order_1) strategy_active_orders.append(buy_order_1) self.tracker.add_order(sell_order_1) strategy_active_orders.append(sell_order_1) self.tracker.update_strategy_orders_with_equivalent_orders() buy_hanging_order = next(order for order in self.tracker.strategy_current_hanging_orders if order.is_buy) sell_hanging_order = next(order for order in self.tracker.strategy_current_hanging_orders if not order.is_buy) self.assertEqual(buy_order_1.client_order_id, buy_hanging_order.order_id) self.assertEqual(sell_order_1.client_order_id, sell_hanging_order.order_id) self.assertEqual(2, len(self.tracker.original_orders)) self.assertEqual(2, len(self.tracker.strategy_current_hanging_orders)) # Now we simulate the buy hanging order being fully filled strategy_active_orders.remove(buy_order_1) self.tracker._did_complete_buy_order(MarketEvent.BuyOrderCompleted, self, BuyOrderCompletedEvent( timestamp=datetime.now().timestamp(), order_id=buy_order_1.client_order_id, base_asset="BTC", quote_asset="USDT", fee_asset="USDT", base_asset_amount=buy_order_1.quantity, quote_asset_amount=buy_order_1.quantity * buy_order_1.price, fee_amount=Decimal(0), order_type=OrderType.LIMIT)) self.assertEqual(1, len(self.tracker.strategy_current_hanging_orders)) self.assertNotIn(buy_hanging_order, self.tracker.strategy_current_hanging_orders) self.assertEqual(1, len(self.tracker.original_orders)) self.assertNotIn(buy_order_1, self.tracker.original_orders) def test_limit_order_added_to_grouping_tracker_is_potential_hanging_order(self): strategy_active_orders = [] newly_created_buy_orders_ids = ["Order-1234570000000000", "Order-1234570020000000", "Order-1234570040000000", "Order-1234570060000000"] newly_created_sell_orders_ids = ["Order-1234570010000000", "Order-1234570030000000", "Order-1234570050000000", "Order-1234570070000000"] type(self.strategy).active_orders = PropertyMock(return_value=strategy_active_orders) self.strategy.buy_with_specific_market.side_effect = newly_created_buy_orders_ids self.strategy.sell_with_specific_market.side_effect = newly_created_sell_orders_ids buy_order_1 = LimitOrder("Order-1234569960000000", "BTC-USDT", True, "BTC", "USDT", Decimal(101), Decimal(1)) buy_order_2 = LimitOrder("Order-1234569980000000", "BTC-USDT", True, "BTC", "USDT", Decimal(105), Decimal(1)) sell_order_1 = LimitOrder("Order-1234569970000000", "BTC-USDT", False, "BTC", "USDT", Decimal(110), Decimal(1)) self.tracker.set_aggregation_method(HangingOrdersAggregationType.VOLUME_WEIGHTED) self.tracker.add_order(buy_order_1) strategy_active_orders.append(buy_order_1) self.tracker.add_order(buy_order_2) strategy_active_orders.append(buy_order_2) self.tracker.add_order(sell_order_1) strategy_active_orders.append(sell_order_1) self.tracker.update_strategy_orders_with_equivalent_orders() self.assertTrue(self.tracker.is_potential_hanging_order(buy_order_1)) self.assertTrue(self.tracker.is_potential_hanging_order(buy_order_2)) self.assertTrue(self.tracker.is_potential_hanging_order(sell_order_1)) def test_limit_order_added_to_non_grouping_tracker_is_potential_hanging_order(self): strategy_active_orders = [] newly_created_buy_orders_ids = ["Order-1234570000000000", "Order-1234570020000000", "Order-1234570040000000", "Order-1234570060000000"] newly_created_sell_orders_ids = ["Order-1234570010000000", "Order-1234570030000000", "Order-1234570050000000", "Order-1234570070000000"] type(self.strategy).active_orders = PropertyMock(return_value=strategy_active_orders) self.strategy.buy_with_specific_market.side_effect = newly_created_buy_orders_ids self.strategy.sell_with_specific_market.side_effect = newly_created_sell_orders_ids buy_order_1 = LimitOrder("Order-1234569960000000", "BTC-USDT", True, "BTC", "USDT", Decimal(101), Decimal(1)) buy_order_2 = LimitOrder("Order-1234569980000000", "BTC-USDT", True, "BTC", "USDT", Decimal(105), Decimal(1)) sell_order_1 = LimitOrder("Order-1234569970000000", "BTC-USDT", False, "BTC", "USDT", Decimal(110), Decimal(1)) self.tracker.set_aggregation_method(HangingOrdersAggregationType.NO_AGGREGATION) self.tracker.add_order(buy_order_1) strategy_active_orders.append(buy_order_1) self.tracker.add_order(buy_order_2) strategy_active_orders.append(buy_order_2) self.tracker.add_order(sell_order_1) strategy_active_orders.append(sell_order_1) self.tracker.update_strategy_orders_with_equivalent_orders() self.assertTrue(self.tracker.is_potential_hanging_order(buy_order_1)) self.assertTrue(self.tracker.is_potential_hanging_order(buy_order_2)) self.assertTrue(self.tracker.is_potential_hanging_order(sell_order_1)) def test_non_grouping_tracker_cancels_order_when_removing_far_from_price(self): cancelled_orders_ids = [] strategy_active_orders = [] newly_created_buy_orders_ids = ["Order-1234570000000000", "Order-1234570020000000", "Order-1234570040000000", "Order-1234570060000000"] newly_created_sell_orders_ids = ["Order-1234570010000000", "Order-1234570030000000", "Order-1234570050000000", "Order-1234570070000000"] type(self.strategy).active_orders = PropertyMock(return_value=strategy_active_orders) self.strategy.cancel_order.side_effect = lambda order_id: cancelled_orders_ids.append(order_id) self.strategy.buy_with_specific_market.side_effect = newly_created_buy_orders_ids self.strategy.sell_with_specific_market.side_effect = newly_created_sell_orders_ids self.tracker.set_aggregation_method(HangingOrdersAggregationType.NO_AGGREGATION) buy_order_1 = LimitOrder("Order-1234569960000000", "BTC-USDT", True, "BTC", "USDT", Decimal(101), Decimal(1)) buy_order_2 = LimitOrder("Order-1234569980000000", "BTC-USDT", True, "BTC", "USDT", Decimal(120), Decimal(1)) self.tracker.add_order(buy_order_1) strategy_active_orders.append(buy_order_1) self.tracker.add_order(buy_order_2) strategy_active_orders.append(buy_order_2) self.tracker.update_strategy_orders_with_equivalent_orders() # The hanging orders are created hanging_order_1 = next(hanging_order for hanging_order in self.tracker.strategy_current_hanging_orders if hanging_order.order_id == buy_order_1.client_order_id) hanging_order_2 = next(hanging_order for hanging_order in self.tracker.strategy_current_hanging_orders if hanging_order.order_id == buy_order_2.client_order_id) # After removing orders far from price, the order 2 should be canceled self.tracker.remove_orders_far_from_price() self.assertEqual(1, len(cancelled_orders_ids)) self.assertIn(hanging_order_2.order_id, cancelled_orders_ids) # We emulate the reception of the cancellation confirmation. After that the hanging order should not be present # in the tracker, and the original order should not be considered a potential hanging order. strategy_active_orders.remove(buy_order_2) self.tracker._did_cancel_order(MarketEvent.OrderCancelled, self, OrderCancelledEvent(buy_order_2.client_order_id, buy_order_2.client_order_id)) self.assertNotIn(hanging_order_2, self.tracker.strategy_current_hanging_orders) self.assertFalse(self.tracker.is_potential_hanging_order(buy_order_2)) self.assertIn(hanging_order_1, self.tracker.strategy_current_hanging_orders) self.assertTrue(self.tracker.is_potential_hanging_order(buy_order_1)) def test_grouping_tracker_removes_original_order_when_removing_far_from_price(self): cancelled_orders_ids = [] strategy_active_orders = [] newly_created_buy_orders_ids = ["Order-1234570000000000", "Order-1234570020000000", "Order-1234570040000000", "Order-1234570060000000"] newly_created_sell_orders_ids = ["Order-1234570010000000", "Order-1234570030000000", "Order-1234570050000000", "Order-1234570070000000"] type(self.strategy).active_orders = PropertyMock(return_value=strategy_active_orders) self.strategy.cancel_order.side_effect = lambda order_id: cancelled_orders_ids.append(order_id) self.strategy.buy_with_specific_market.side_effect = newly_created_buy_orders_ids self.strategy.sell_with_specific_market.side_effect = newly_created_sell_orders_ids self.tracker.set_aggregation_method(HangingOrdersAggregationType.VOLUME_WEIGHTED) buy_order_1 = LimitOrder("Order-1234569960000000", "BTC-USDT", True, "BTC", "USDT", Decimal(101), Decimal(1)) buy_order_2 = LimitOrder("Order-1234569980000000", "BTC-USDT", True, "BTC", "USDT", Decimal(120), Decimal(1)) self.tracker.add_order(buy_order_1) strategy_active_orders.append(buy_order_1) self.tracker.add_order(buy_order_2) strategy_active_orders.append(buy_order_2) self.tracker.update_strategy_orders_with_equivalent_orders() # The hanging orders are created grouped_hanging_order = next(iter(self.tracker.strategy_current_hanging_orders)) strategy_active_orders.append(LimitOrder(grouped_hanging_order.order_id, grouped_hanging_order.trading_pair, grouped_hanging_order.is_buy, "BTC", "USDT", grouped_hanging_order.price, grouped_hanging_order.amount)) # After removing orders far from price, no order is cancelled, but buy_order_2 should no longer be considered # a potential hanging order self.tracker.remove_orders_far_from_price() self.assertEqual(0, len(cancelled_orders_ids)) self.assertFalse(self.tracker.is_potential_hanging_order(buy_order_2)) self.assertTrue(self.tracker.is_potential_hanging_order(buy_order_1)) # The hanging order will still be the same, until it is recreated self.assertIn(grouped_hanging_order, self.tracker.strategy_current_hanging_orders) self.tracker.update_strategy_orders_with_equivalent_orders() self.assertEqual(1, len(cancelled_orders_ids)) self.assertIn(grouped_hanging_order.order_id, cancelled_orders_ids) self.tracker._did_cancel_order(MarketEvent.OrderCancelled, self, OrderCancelledEvent(grouped_hanging_order.order_id, grouped_hanging_order.order_id)) new_grouped_hanging_order = next(iter(self.tracker.strategy_current_hanging_orders)) self.assertNotEqual(grouped_hanging_order, new_grouped_hanging_order) self.assertNotIn(grouped_hanging_order, self.tracker.strategy_current_hanging_orders)

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7

024bdc581fadab9dff49aa4236b1eb41cdd84366

192

py

Python

numerous/engine/system/__init__.py

amipy/numerous

46eb3806ad904c3c0b3dccad7f8f3ddb5582cbd9

[ "BSD-3-Clause" ]

20

2019-12-11T18:19:39.000Z

2022-01-30T15:37:58.000Z

numerous/engine/system/__init__.py

amipy/numerous

46eb3806ad904c3c0b3dccad7f8f3ddb5582cbd9

[ "BSD-3-Clause" ]

38

2020-04-11T22:25:58.000Z

2022-03-29T12:24:15.000Z

numerous/engine/system/__init__.py

amipy/numerous

46eb3806ad904c3c0b3dccad7f8f3ddb5582cbd9

[ "BSD-3-Clause" ]

7

2019-12-21T12:12:09.000Z

2021-12-02T14:12:09.000Z

from .subsystem import * from .item import * from .binding import * from .connector import * from .connector_item import * from .item_path import * from .namespace import * from .node import *

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1

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7

65f3aee756b0d178a5a2412bae89c1a75e8fdfa2

126

py

Python

Calculator/squareRoot.py

zc256/PythonCalculator

3267a0809dbc28e437337c68f93a9205c0532563

[ "MIT" ]

null

Calculator/squareRoot.py

zc256/PythonCalculator

3267a0809dbc28e437337c68f93a9205c0532563

[ "MIT" ]

null

Calculator/squareRoot.py

zc256/PythonCalculator

3267a0809dbc28e437337c68f93a9205c0532563

[ "MIT" ]

null

# import math # def squareRoot(a): # return round(math.sqrt(float(a)),9) def squareRoot(a): return round(float(a)**(1/2),8)

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5a00d4aa3e4ec97366305afaa66265f0acdd8e0a

5,304

py

Python

opennem/db/migrations/versions/659f03439631_trading_interval_indexes.py

tourdownunder/opennem

deec3e2079db9d9d84171010fd0c239170d1e7ce

[ "MIT" ]

null

opennem/db/migrations/versions/659f03439631_trading_interval_indexes.py

tourdownunder/opennem

deec3e2079db9d9d84171010fd0c239170d1e7ce

[ "MIT" ]

1

2020-09-06T04:17:59.000Z

opennem/db/migrations/versions/659f03439631_trading_interval_indexes.py

tourdownunder/opennem

deec3e2079db9d9d84171010fd0c239170d1e7ce

[ "MIT" ]

null

"""Trading interval indexes Revision ID: 659f03439631 Revises: 9ee998713b18 Create Date: 2020-10-09 03:01:56.054462 """ import sqlalchemy as sa from alembic import op # revision identifiers, used by Alembic. revision = "659f03439631" down_revision = "9ee998713b18" branch_labels = None depends_on = None def upgrade(): op.execute("COMMIT") op.create_index( "idx_facility_scada_trading_interval_perth_year", "facility_scada", [sa.text("date_trunc('year', trading_interval AT TIME ZONE 'AWST')")], postgresql_concurrently=True, ) op.create_index( "idx_facility_scada_trading_interval_perth_month", "facility_scada", [sa.text("date_trunc('month', trading_interval AT TIME ZONE 'AWST')")], postgresql_concurrently=True, ) op.create_index( "idx_facility_scada_trading_interval_perth_day", "facility_scada", [sa.text("date_trunc('day', trading_interval AT TIME ZONE 'AWST')")], postgresql_concurrently=True, ) op.create_index( "idx_facility_scada_trading_interval_perth_hour", "facility_scada", [sa.text("date_trunc('hour', trading_interval AT TIME ZONE 'AWST')")], postgresql_concurrently=True, ) # wem balancing summary op.create_index( "idx_balancing_summary_trading_interval_perth_year", "balancing_summary", [sa.text("date_trunc('year', trading_interval AT TIME ZONE 'AWST')")], postgresql_concurrently=True, ) op.create_index( "idx_balancing_summary_trading_interval_perth_month", "balancing_summary", [sa.text("date_trunc('month', trading_interval AT TIME ZONE 'AWST')")], postgresql_concurrently=True, ) op.create_index( "idx_balancing_summary_trading_interval_perth_day", "balancing_summary", [sa.text("date_trunc('day', trading_interval AT TIME ZONE 'AWST')")], postgresql_concurrently=True, ) op.create_index( "idx_balancing_summary_trading_interval_perth_hour", "balancing_summary", [sa.text("date_trunc('hour', trading_interval AT TIME ZONE 'AWST')")], postgresql_concurrently=True, ) # NEM timezone indexes # facility scada op.create_index( "idx_facility_scada_trading_interval_sydney_year", "facility_scada", [sa.text("date_trunc('year', trading_interval AT TIME ZONE 'AEST')")], postgresql_concurrently=True, ) op.create_index( "idx_facility_scada_trading_interval_sydney_month", "facility_scada", [sa.text("date_trunc('month', trading_interval AT TIME ZONE 'AEST')")], postgresql_concurrently=True, ) op.create_index( "idx_facility_scada_trading_interval_sydney_day", "facility_scada", [sa.text("date_trunc('day', trading_interval AT TIME ZONE 'AEST')")], postgresql_concurrently=True, ) op.create_index( "idx_facility_scada_trading_interval_sydney_hour", "facility_scada", [sa.text("date_trunc('hour', trading_interval AT TIME ZONE 'AEST')")], postgresql_concurrently=True, ) # NEM balancing summary op.create_index( "idx_balancing_summary_trading_interval_sydney_year", "balancing_summary", [sa.text("date_trunc('year', trading_interval AT TIME ZONE 'AEST')")], postgresql_concurrently=True, ) op.create_index( "idx_balancing_summary_trading_interval_sydney_month", "balancing_summary", [sa.text("date_trunc('month', trading_interval AT TIME ZONE 'AEST')")], postgresql_concurrently=True, ) op.create_index( "idx_balancing_summary_trading_interval_sydney_day", "balancing_summary", [sa.text("date_trunc('day', trading_interval AT TIME ZONE 'AEST')")], postgresql_concurrently=True, ) op.create_index( "idx_balancing_summary_trading_interval_sydney_hour", "balancing_summary", [sa.text("date_trunc('hour', trading_interval AT TIME ZONE 'AEST')")], postgresql_concurrently=True, ) def downgrade(): op.drop_index("idx_facility_scada_trading_interval_perth_year") op.drop_index("idx_facility_scada_trading_interval_perth_month") op.drop_index("idx_facility_scada_trading_interval_perth_day") op.drop_index("idx_facility_scada_trading_interval_perth_hour") op.drop_index("idx_balancing_summary_trading_interval_perth_year") op.drop_index("idx_fbalancing_summary_trading_interval_perth_month") op.drop_index("idx_balancing_summary_trading_interval_perth_day") op.drop_index("idx_balancing_summary_trading_interval_perth_hour") op.drop_index("idx_facility_scada_trading_interval_sydney_year") op.drop_index("idx_facility_scada_trading_interval_sydney_month") op.drop_index("idx_facility_scada_trading_interval_sydney_day") op.drop_index("idx_facility_scada_trading_interval_sydney_hour") op.drop_index("idx_balancing_summary_trading_interval_sydney_year") op.drop_index("idx_balancing_summary_trading_interval_sydney_month") op.drop_index("idx_balancing_summary_trading_interval_sydney_day") op.drop_index("idx_balancing_summary_trading_interval_sydney_hour")

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5a0b453b0ca0b40e5b85897cd96b1272b656b9a4

31,239

py

Python

src/ggrc/migrations/versions/20130529211629_459696baf6e4_initial_objects_migr.py

Smotko/ggrc-core

b3abb58b24e7559960d71a94ba79c75539e7fe29

[ "Apache-2.0" ]

null

src/ggrc/migrations/versions/20130529211629_459696baf6e4_initial_objects_migr.py

Smotko/ggrc-core

b3abb58b24e7559960d71a94ba79c75539e7fe29

[ "Apache-2.0" ]

12

2015-01-08T14:50:19.000Z

2017-11-29T19:37:53.000Z

src/ggrc/migrations/versions/20130529211629_459696baf6e4_initial_objects_migr.py

mikecb/ggrc-core

1cda560cb0920021416e07740c6cca1acba56268

[ "ECL-2.0", "Apache-2.0" ]

1

2015-01-08T13:25:09.000Z

# Copyright (C) 2013 Google Inc., authors, and contributors <see AUTHORS file> # Licensed under http://www.apache.org/licenses/LICENSE-2.0 <see LICENSE file> # Created By: dan@reciprocitylabs.com # Maintained By: dan@reciprocitylabs.com """Initial objects migration Revision ID: 459696baf6e4 Revises: None Create Date: 2013-05-29 21:16:29.330760 """ # revision identifiers, used by Alembic. revision = '459696baf6e4' down_revision = None from alembic import op import sqlalchemy as sa def upgrade(): ### commands auto generated by Alembic - please adjust! ### op.create_table('risky_attributes', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('url', sa.String(length=250), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.Column('type_string', sa.String(length=250), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_table('relationship_types', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('relationship_type', sa.String(length=250), nullable=True), sa.Column('forward_phrase', sa.String(length=250), nullable=True), sa.Column('backward_phrase', sa.String(length=250), nullable=True), sa.Column('symmetric', sa.Boolean(), nullable=False), sa.PrimaryKeyConstraint('id') ) op.create_table('projects', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('url', sa.String(length=250), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.PrimaryKeyConstraint('id') ) op.create_table('org_groups', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('url', sa.String(length=250), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.PrimaryKeyConstraint('id') ) op.create_table('versions', sa.Column('id', sa.Integer(), nullable=False), sa.Column('item_type', sa.String(length=250), nullable=True), sa.Column('item_id', sa.Integer(), nullable=True), sa.Column('event', sa.String(length=250), nullable=True), sa.Column('whodunnit', sa.String(length=250), nullable=True), sa.Column('object', sa.Text(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_table('markets', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('url', sa.String(length=250), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.PrimaryKeyConstraint('id') ) op.create_table('facilities', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('url', sa.String(length=250), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.PrimaryKeyConstraint('id') ) op.create_table('data_assets', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('url', sa.String(length=250), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.PrimaryKeyConstraint('id') ) op.create_table('options', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('role', sa.String(length=250), nullable=True), sa.Column('title', sa.String(length=250), nullable=True), sa.Column('required', sa.Boolean(), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_table('helps', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.Column('content', sa.Text(), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_table('relationships', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('source_id', sa.Integer(), nullable=True), sa.Column('source_type', sa.String(length=250), nullable=True), sa.Column('destination_id', sa.Integer(), nullable=True), sa.Column('destination_type', sa.String(length=250), nullable=True), sa.Column('relationship_type_id', sa.String(length=250), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_table('people', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('email', sa.String(length=250), nullable=True), sa.Column('name', sa.String(length=250), nullable=True), sa.Column('language_id', sa.Integer(), nullable=True), sa.Column('company', sa.String(length=250), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_table('risks', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('url', sa.String(length=250), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.Column('kind', sa.String(length=250), nullable=True), sa.Column('likelihood', sa.Text(), nullable=True), sa.Column('threat_vector', sa.Text(), nullable=True), sa.Column('trigger', sa.Text(), nullable=True), sa.Column('preconditions', sa.Text(), nullable=True), sa.Column('likelihood_rating', sa.Integer(), nullable=True), sa.Column('financial_impact_rating', sa.Integer(), nullable=True), sa.Column('reputational_impact_rating', sa.Integer(), nullable=True), sa.Column('operational_impact_rating', sa.Integer(), nullable=True), sa.Column('inherent_risk', sa.Text(), nullable=True), sa.Column('risk_mitigation', sa.Text(), nullable=True), sa.Column('residual_risk', sa.Text(), nullable=True), sa.Column('impact', sa.Text(), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_table('products', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('url', sa.String(length=250), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.Column('type_id', sa.Integer(), nullable=True), sa.Column('version', sa.String(length=250), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_table('directives', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('url', sa.String(length=250), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.Column('company', sa.Boolean(), nullable=False), sa.Column('version', sa.String(length=250), nullable=True), sa.Column('organization', sa.String(length=250), nullable=True), sa.Column('scope', sa.Text(), nullable=True), sa.Column('kind_id', sa.Integer(), nullable=True), sa.Column('audit_start_date', sa.DateTime(), nullable=True), sa.Column('audit_frequency_id', sa.Integer(), nullable=True), sa.Column('audit_duration_id', sa.Integer(), nullable=True), sa.Column('kind', sa.String(length=250), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_table('programs', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('url', sa.String(length=250), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.Column('kind', sa.String(length=250), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_table('documents', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('title', sa.String(length=250), nullable=True), sa.Column('link', sa.String(length=250), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('type_id', sa.Integer(), nullable=True), sa.Column('kind_id', sa.Integer(), nullable=True), sa.Column('year_id', sa.Integer(), nullable=True), sa.Column('language_id', sa.Integer(), nullable=True), sa.PrimaryKeyConstraint('id') ) op.create_table('categories', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('name', sa.String(length=250), nullable=True), sa.Column('lft', sa.Integer(), nullable=True), sa.Column('rgt', sa.Integer(), nullable=True), sa.Column('scope_id', sa.Integer(), nullable=True), sa.Column('depth', sa.Integer(), nullable=True), sa.Column('required', sa.Boolean(), nullable=True), sa.Column('parent_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['parent_id'], ['categories.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('sections', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('url', sa.String(length=250), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.Column('directive_id', sa.Integer(), nullable=True), sa.Column('na', sa.Boolean(), nullable=False), sa.Column('notes', sa.Text(), nullable=True), sa.Column('parent_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['directive_id'], ['directives.id'], ), sa.ForeignKeyConstraint(['parent_id'], ['sections.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('cycles', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('start_at', sa.Date(), nullable=True), sa.Column('complete', sa.Boolean(), nullable=False), sa.Column('title', sa.String(length=250), nullable=True), sa.Column('audit_firm', sa.String(length=250), nullable=True), sa.Column('audit_lead', sa.String(length=250), nullable=True), sa.Column('status', sa.String(length=250), nullable=True), sa.Column('notes', sa.Text(), nullable=True), sa.Column('end_at', sa.Date(), nullable=True), sa.Column('program_id', sa.Integer(), nullable=True), sa.Column('report_due_at', sa.Date(), nullable=True), sa.ForeignKeyConstraint(['program_id'], ['programs.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('program_directives', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('program_id', sa.Integer(), nullable=True), sa.Column('directive_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['directive_id'], ['directives.id'], ), sa.ForeignKeyConstraint(['program_id'], ['programs.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('object_people', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('role', sa.String(length=250), nullable=True), sa.Column('notes', sa.Text(), nullable=True), sa.Column('person_id', sa.Integer(), nullable=True), sa.Column('personable_id', sa.Integer(), nullable=True), sa.Column('personable_type', sa.String(length=250), nullable=True), sa.ForeignKeyConstraint(['person_id'], ['people.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('object_documents', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('role', sa.String(length=250), nullable=True), sa.Column('notes', sa.Text(), nullable=True), sa.Column('document_id', sa.Integer(), nullable=True), sa.Column('documentable_id', sa.Integer(), nullable=True), sa.Column('documentable_type', sa.String(length=250), nullable=True), sa.ForeignKeyConstraint(['document_id'], ['documents.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('controls', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('url', sa.String(length=250), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.Column('directive_id', sa.Integer(), nullable=True), sa.Column('type_id', sa.Integer(), nullable=True), sa.Column('kind_id', sa.Integer(), nullable=True), sa.Column('means_id', sa.Integer(), nullable=True), sa.Column('version', sa.String(length=250), nullable=True), sa.Column('documentation_description', sa.Text(), nullable=True), sa.Column('verify_frequency_id', sa.Integer(), nullable=True), sa.Column('fraud_related', sa.Boolean(), nullable=True), sa.Column('key_control', sa.Boolean(), nullable=True), sa.Column('active', sa.Boolean(), nullable=True), sa.Column('notes', sa.Text(), nullable=True), sa.Column('parent_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['directive_id'], ['directives.id'], ), sa.ForeignKeyConstraint(['parent_id'], ['controls.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('risk_risky_attributes', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('risk_id', sa.Integer(), nullable=True), sa.Column('risky_attribute_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['risk_id'], ['risks.id'], ), sa.ForeignKeyConstraint(['risky_attribute_id'], ['risky_attributes.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('systems', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('url', sa.String(length=250), nullable=True), sa.Column('start_date', sa.DateTime(), nullable=True), sa.Column('end_date', sa.DateTime(), nullable=True), sa.Column('slug', sa.String(length=250), nullable=False), sa.Column('title', sa.String(length=250), nullable=False), sa.Column('infrastructure', sa.Boolean(), nullable=True), sa.Column('owner_id', sa.Integer(), nullable=True), sa.Column('is_biz_process', sa.Boolean(), nullable=True), sa.Column('type_id', sa.Integer(), nullable=True), sa.Column('version', sa.String(length=250), nullable=True), sa.Column('notes', sa.Text(), nullable=True), sa.Column('network_zone_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['owner_id'], ['people.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('categorizations', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('category_id', sa.Integer(), nullable=True), sa.Column('categorizable_id', sa.Integer(), nullable=True), sa.Column('categorizable_type', sa.String(length=250), nullable=True), sa.ForeignKeyConstraint(['category_id'], ['categories.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('system_systems', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('parent_id', sa.Integer(), nullable=True), sa.Column('child_id', sa.Integer(), nullable=True), sa.Column('type', sa.String(length=250), nullable=True), sa.Column('order', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['child_id'], ['systems.id'], ), sa.ForeignKeyConstraint(['parent_id'], ['systems.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('control_sections', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('control_id', sa.Integer(), nullable=True), sa.Column('section_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['control_id'], ['controls.id'], ), sa.ForeignKeyConstraint(['section_id'], ['sections.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('control_controls', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('control_id', sa.Integer(), nullable=True), sa.Column('implemented_control_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['control_id'], ['controls.id'], ), sa.ForeignKeyConstraint(['implemented_control_id'], ['controls.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('control_risks', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('control_id', sa.Integer(), nullable=True), sa.Column('risk_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['control_id'], ['controls.id'], ), sa.ForeignKeyConstraint(['risk_id'], ['risks.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('system_controls', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('system_id', sa.Integer(), nullable=True), sa.Column('control_id', sa.Integer(), nullable=True), sa.Column('state', sa.Integer(), nullable=False), sa.Column('cycle_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['control_id'], ['controls.id'], ), sa.ForeignKeyConstraint(['cycle_id'], ['cycles.id'], ), sa.ForeignKeyConstraint(['system_id'], ['systems.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('pbc_lists', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('audit_cycle_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['audit_cycle_id'], ['cycles.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('transactions', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('description', sa.Text(), nullable=True), sa.Column('title', sa.String(length=250), nullable=True), sa.Column('system_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['system_id'], ['systems.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('control_assessments', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('pbc_list_id', sa.Integer(), nullable=True), sa.Column('control_id', sa.Integer(), nullable=True), sa.Column('control_version', sa.String(length=250), nullable=True), sa.Column('internal_tod', sa.Boolean(), nullable=True), sa.Column('internal_toe', sa.Boolean(), nullable=True), sa.Column('external_tod', sa.Boolean(), nullable=True), sa.Column('external_toe', sa.Boolean(), nullable=True), sa.Column('notes', sa.Text(), nullable=True), sa.ForeignKeyConstraint(['control_id'], ['controls.id'], ), sa.ForeignKeyConstraint(['pbc_list_id'], ['pbc_lists.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('requests', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('pbc_list_id', sa.Integer(), nullable=True), sa.Column('type_id', sa.Integer(), nullable=True), sa.Column('pbc_control_code', sa.String(length=250), nullable=True), sa.Column('pbc_control_desc', sa.Text(), nullable=True), sa.Column('request', sa.Text(), nullable=True), sa.Column('test', sa.Text(), nullable=True), sa.Column('notes', sa.Text(), nullable=True), sa.Column('company_responsible', sa.String(length=250), nullable=True), sa.Column('auditor_responsible', sa.String(length=250), nullable=True), sa.Column('date_requested', sa.DateTime(), nullable=True), sa.Column('status', sa.String(length=250), nullable=True), sa.Column('control_assessment_id', sa.Integer(), nullable=True), sa.Column('response_due_at', sa.Date(), nullable=True), sa.ForeignKeyConstraint(['control_assessment_id'], ['control_assessments.id'], ), sa.ForeignKeyConstraint(['pbc_list_id'], ['pbc_lists.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('responses', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('request_id', sa.Integer(), nullable=True), sa.Column('system_id', sa.Integer(), nullable=True), sa.Column('status', sa.String(length=250), nullable=True), sa.ForeignKeyConstraint(['request_id'], ['requests.id'], ), sa.ForeignKeyConstraint(['system_id'], ['systems.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('population_samples', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('response_id', sa.Integer(), nullable=True), sa.Column('population_document_id', sa.Integer(), nullable=True), sa.Column('population', sa.Integer(), nullable=True), sa.Column('sample_worksheet_document_id', sa.Integer(), nullable=True), sa.Column('samples', sa.Integer(), nullable=True), sa.Column('sample_evidence_document_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['population_document_id'], ['documents.id'], ), sa.ForeignKeyConstraint(['response_id'], ['responses.id'], ), sa.ForeignKeyConstraint(['sample_evidence_document_id'], ['documents.id'], ), sa.ForeignKeyConstraint(['sample_worksheet_document_id'], ['documents.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_table('meetings', sa.Column('id', sa.Integer(), nullable=False), sa.Column('modified_by_id', sa.Integer(), nullable=True), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('response_id', sa.Integer(), nullable=True), sa.Column('start_at', sa.DateTime(), nullable=True), sa.Column('calendar_url', sa.String(length=250), nullable=True), sa.ForeignKeyConstraint(['response_id'], ['responses.id'], ), sa.PrimaryKeyConstraint('id') ) ### end Alembic commands ### def downgrade(): ### commands auto generated by Alembic - please adjust! ### op.drop_table('meetings') op.drop_table('population_samples') op.drop_table('responses') op.drop_table('requests') op.drop_table('control_assessments') op.drop_table('transactions') op.drop_table('pbc_lists') op.drop_table('system_controls') op.drop_table('control_risks') op.drop_table('control_controls') op.drop_table('control_sections') op.drop_table('system_systems') op.drop_table('categorizations') op.drop_table('systems') op.drop_table('risk_risky_attributes') op.drop_table('controls') op.drop_table('object_documents') op.drop_table('object_people') op.drop_table('program_directives') op.drop_table('cycles') op.drop_table('sections') op.drop_table('categories') op.drop_table('documents') op.drop_table('programs') op.drop_table('directives') op.drop_table('products') op.drop_table('risks') op.drop_table('people') op.drop_table('relationships') op.drop_table('helps') op.drop_table('options') op.drop_table('data_assets') op.drop_table('facilities') op.drop_table('markets') op.drop_table('versions') op.drop_table('org_groups') op.drop_table('projects') op.drop_table('relationship_types') op.drop_table('risky_attributes') ### end Alembic commands ###

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null

0

1

0

null

0

8

5a3d555d3fcd443e3da5cb8fb0b5dac02d2af0e3

74

py

Python

src/orders/admin/__init__.py

iNerV/education-backend

787c0d090eb6e4a9338812941b0246a6e1b8e7ad

[ "MIT" ]

151

2020-04-21T09:58:57.000Z

2021-09-12T09:01:21.000Z

src/orders/admin/__init__.py

iNerV/education-backend

787c0d090eb6e4a9338812941b0246a6e1b8e7ad

[ "MIT" ]

163

2020-05-29T20:52:00.000Z

2021-09-11T12:44:56.000Z

src/orders/admin/__init__.py

iNerV/education-backend

787c0d090eb6e4a9338812941b0246a6e1b8e7ad

[ "MIT" ]

39

2020-04-21T12:28:16.000Z

2021-09-12T15:33:47.000Z

import orders.admin.orders # noqa import orders.admin.promocodes # noqa

24.666667

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0.5

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0.586207

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1

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1

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7

5a49c981d8946a3270527aca43539de68213c017

6,507

py

Python

tagger-ds-temp/tagger/testing/test_retriever.py

filchyboy/TaggerMail

4166a49842817ad999a8fbb6262de7cb7e765a5a

[ "MIT" ]

null

tagger-ds-temp/tagger/testing/test_retriever.py

filchyboy/TaggerMail

4166a49842817ad999a8fbb6262de7cb7e765a5a

[ "MIT" ]

6

2021-01-28T21:23:23.000Z

2022-01-22T13:06:54.000Z

tagger-ds-temp/tagger/testing/test_retriever.py

filchyboy/TaggerMail

4166a49842817ad999a8fbb6262de7cb7e765a5a

[ "MIT" ]

null

from __future__ import print_function import pickle import os.path import base64 from bs4 import BeautifulSoup import bleach import re from googleapiclient.discovery import build from google_auth_oauthlib.flow import InstalledAppFlow from google.auth.transport.requests import Request import pytest # If modifying these scopes, delete the file token.pickle. SCOPES = ['https://www.googleapis.com/auth/gmail.readonly'] creds = None # The file token.pickle stores the user's access and refresh tokens, and is # created automatically when the authorization flow completes for the first # time. # In production this authorization method will be handled through a JSON # retrieved from the BE server. if os.path.exists('token.pickle'): with open('token.pickle', 'rb') as token: creds = pickle.load(token) # If there are no (valid) credentials available, let the user log in. if not creds or not creds.valid: if creds and creds.expired and creds.refresh_token: creds.refresh(Request()) else: flow = InstalledAppFlow.from_client_secrets_file( 'credentials.json', SCOPES) creds = flow.run_local_server(port=0) # Save the credentials for the next run with open('token.pickle', 'wb') as token: pickle.dump(creds, token) # Build the Google Service service = build('gmail', 'v1', credentials=creds) # Call the Gmail API message = service.users().messages().list(userId='me').execute() # Find most recent message recent_msg_id = message['messages'][0]['id'] # Recent message list/this will be important when tracking # which emails have been retrieved versus those that haven't. recent_msg_list = message['messages'] # Call message content message_content = service.users().messages().get( userId='me', id=recent_msg_id).execute() # Call message body message_body = message_content['payload']['parts'] message_body_dict = dict(message_body[0]) # Decode base64 encoding decode = message_body_dict['body']['data'] decodedContents = base64.urlsafe_b64decode(decode.encode('ASCII')) # Clean the text text = BeautifulSoup(decodedContents, 'html.parser') text = str(text.text) text = re.sub(r"http\S+", "", text) # Output #print("Recent Message: ", recent_msg_id, "\n\nRecent Message List: ", recent_msg_list, "\n\nMessage Body: ", text) def generate_message(): # If modifying these scopes, delete the file token.pickle. SCOPES = ['https://www.googleapis.com/auth/gmail.readonly'] creds = None # The file token.pickle stores the user's access and refresh tokens, and is # created automatically when the authorization flow completes for the first # time. # In production this authorization method will be handled through a JSON # retrieved from the BE server. if os.path.exists('token.pickle'): with open('token.pickle', 'rb') as token: creds = pickle.load(token) # If there are no (valid) credentials available, let the user log in. if not creds or not creds.valid: if creds and creds.expired and creds.refresh_token: creds.refresh(Request()) else: flow = InstalledAppFlow.from_client_secrets_file( 'credentials.json', SCOPES) creds = flow.run_local_server(port=0) # Save the credentials for the next run with open('token.pickle', 'wb') as token: pickle.dump(creds, token) # Build the Google Service service = build('gmail', 'v1', credentials=creds) # Call the Gmail API message = service.users().messages().list(userId='me').execute() message_count = len(message['messages']) return message_count def generate_message_body(): # If modifying these scopes, delete the file token.pickle. SCOPES = ['https://www.googleapis.com/auth/gmail.readonly'] creds = None # The file token.pickle stores the user's access and refresh tokens, and is # created automatically when the authorization flow completes for the first # time. # In production this authorization method will be handled through a JSON # retrieved from the BE server. if os.path.exists('token.pickle'): with open('token.pickle', 'rb') as token: creds = pickle.load(token) # If there are no (valid) credentials available, let the user log in. if not creds or not creds.valid: if creds and creds.expired and creds.refresh_token: creds.refresh(Request()) else: flow = InstalledAppFlow.from_client_secrets_file( 'credentials.json', SCOPES) creds = flow.run_local_server(port=0) # Save the credentials for the next run with open('token.pickle', 'wb') as token: pickle.dump(creds, token) # Build the Google Service service = build('gmail', 'v1', credentials=creds) # Call the Gmail API message = service.users().messages().list(userId='me').execute() # Find most recent message recent_msg_id = message['messages'][0]['id'] # Recent message list/this will be important when tracking # which emails have been retrieved versus those that haven't. recent_msg_list = message['messages'] # Call message content message_content = service.users().messages().get( userId='me', id=recent_msg_id).execute() # Call message body message_body = message_content['payload']['parts'] message_body_dict = dict(message_body[0]) # Decode base64 encoding decode = message_body_dict['body']['data'] decodedContents = base64.urlsafe_b64decode(decode.encode('ASCII')) # Clean the text text = BeautifulSoup(decodedContents, 'html.parser') text = str(text.text) text = re.sub(r"http\S+", "", text) # Output return (recent_msg_id, recent_msg_list, text) def test_gmail_api(): message_count = generate_message() assert message_count == 100, 'test gmail api' def test_gmail_content(): pack = generate_message_body() recent_msg_id = pack[0] recent_msg_list = pack[1] text = pack[2] assert type(recent_msg_id) == type("String") assert len(recent_msg_list) == 100 assert type(text) == type("String") #print("Recent Message: ", recent_msg_id, "\n\nRecent Message List: ", recent_msg_list, "\n\nMessage Body: ", text)

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null

0

1

0

1

0

null

0

7

5a85b151921a3c27e60282d6d12f8f337bf9e5fa

1,208

py

Python

django_src/analysis/models.py

jup014/Walk-Data-Processing

5951df6e467702ab0bc3c2721cb5457b0a074aa4

[ "MIT" ]

null

django_src/analysis/models.py

jup014/Walk-Data-Processing

5951df6e467702ab0bc3c2721cb5457b0a074aa4

[ "MIT" ]

null

django_src/analysis/models.py

jup014/Walk-Data-Processing

5951df6e467702ab0bc3c2721cb5457b0a074aa4

[ "MIT" ]

null

from django.db import models # Create your models here. class Aggregated1(models.Model): index_day = models.IntegerField() index_method = models.IntegerField() key_n_days = models.IntegerField() key_window_size = models.IntegerField() key_threshold1 = models.FloatField() key_threshold2 = models.FloatField() TP = models.IntegerField() TN = models.IntegerField() FP = models.IntegerField() FN = models.IntegerField() class Meta: indexes = [ models.Index(fields=['index_day', 'index_method', 'key_n_days', 'key_window_size', 'key_threshold1', 'key_threshold2',]) ] # class Aggregated2(models.Model): # index_method = models.IntegerField() # key_n_days = models.IntegerField() # key_window_size = models.IntegerField() # key_threshold1 = models.FloatField() # key_threshold2 = models.FloatField() # TP = models.IntegerField() # TN = models.IntegerField() # FP = models.IntegerField() # FN = models.IntegerField() # class Meta: # indexes = [ # models.Index(fields=['index_method', 'key_n_days', 'key_window_size', 'key_threshold1', 'key_threshold2',]) # ]

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1

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null

0

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8

ce747120ebd453ebad548b8be69986a6111203d2

902

py

Python

spoonerism.py

primelos/python-funcs

ef62b66017014fef199edcca4df818ae59561115

[ "MIT" ]

null

spoonerism.py

primelos/python-funcs

ef62b66017014fef199edcca4df818ae59561115

[ "MIT" ]

null

spoonerism.py

primelos/python-funcs

ef62b66017014fef199edcca4df818ae59561115

[ "MIT" ]

null

# Write your make_spoonerism function here: def make_spoonerism(word1, word2): a = word1[0] b = word2[0] c = word1[0].replace(a,b) + word1[1:] d = word2[0].replace(b,a) + word2[1:] e = c + ' ' + d return e # Uncomment these function calls to test your function: print(make_spoonerism("Codecademy", "Learn")) # should print Lodecademy Cearn print(make_spoonerism("Hello", "world!")) # should print wello Horld! print(make_spoonerism("a", "b")) # should print b a # OR # OR # # Write your make_spoonerism function here: # def make_spoonerism(word1, word2): # return word2[0]+word1[1:]+" "+word1[0]+word2[1:] # # Uncomment these function calls to test your tip function: # print(make_spoonerism("Codecademy", "Learn")) # # should print Lodecademy Cearn # print(make_spoonerism("Hello", "world!")) # # should print wello Horld! # print(make_spoonerism("a", "b")) # # should print b a

25.771429

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902

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0.075783

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0.159645

902

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0

null

1

0

1

0

null

0

8

0c9823b3c3b81d7cfe345f4378dc34733315a87a

2,693

py

Python

tests/test_frequency.py

apeyrard/lxd-backup

4577bf739de6b2a6cd660a940e0be423922b9d31

[ "MIT" ]

null

tests/test_frequency.py

apeyrard/lxd-backup

4577bf739de6b2a6cd660a940e0be423922b9d31

[ "MIT" ]

1

2021-06-01T22:46:55.000Z

tests/test_frequency.py

apeyrard/lxd-backup

4577bf739de6b2a6cd660a940e0be423922b9d31

[ "MIT" ]

null

from lxd_backup.frequencies import should_backup from lxd_backup.frequencies import Frequency def test_when_daily_and_monday_then_should_backup(mocker): mocker.patch('lxd_backup.frequencies.weekday', return_value=0) assert should_backup(Frequency.DAILY) def test_when_weekly_and_tuesday_then_should_not_backup(mocker): mocker.patch('lxd_backup.frequencies.weekday', return_value=1) assert not should_backup(Frequency.WEEKLY) def test_when_weekly_and_monday_then_should_backup(mocker): mocker.patch('lxd_backup.frequencies.weekday', return_value=0) assert should_backup(Frequency.WEEKLY) def test_when_daily_and_saturday_then_should_backup(mocker): mocker.patch('lxd_backup.frequencies.weekday', return_value=5) assert should_backup(Frequency.DAILY) def test_when_weekly_and_wednesday_and_chosen_day_is_wednesday_then_should_backup(mocker): mocker.patch('lxd_backup.frequencies.weekday', return_value=2) assert should_backup(Frequency.WEEKLY, target=2) def test_when_monthly_and_first_day_then_should_backup(mocker): mocker.patch('lxd_backup.frequencies.day', return_value=1) assert should_backup(Frequency.MONTHLY) def test_when_monthly_and_15_day_then_should_not_backup(mocker): mocker.patch('lxd_backup.frequencies.day', return_value=15) assert not should_backup(Frequency.MONTHLY) def test_when_monthly_and_26_and_chosen_day_is_26_then_should_backup(mocker): mocker.patch('lxd_backup.frequencies.day', return_value=26) assert should_backup(Frequency.MONTHLY, target=26) def test_when_bianually_and_january_first_then_should_backup(mocker): mocker.patch('lxd_backup.frequencies.month', return_value=1) mocker.patch('lxd_backup.frequencies.day', return_value=1) assert should_backup(Frequency.BIANUALLY) def test_when_bianually_and_november_5_then_should_not_backup(mocker): mocker.patch('lxd_backup.frequencies.month', return_value=11) mocker.patch('lxd_backup.frequencies.day', return_value=5) assert not should_backup(Frequency.BIANUALLY) def test_when_bianually_and_july_first_then_should_backup(mocker): mocker.patch('lxd_backup.frequencies.month', return_value=7) mocker.patch('lxd_backup.frequencies.day', return_value=1) assert should_backup(Frequency.BIANUALLY) def test_when_bianually_and_october_26_and_target_is_april_26_then_should_backup(mocker): mocker.patch('lxd_backup.frequencies.month', return_value=10) mocker.patch('lxd_backup.frequencies.day', return_value=26) assert should_backup(Frequency.BIANUALLY, target={'day': 26, 'month': 4}) def test_when_unknown_frequency_then_should_not_backup(mocker): assert not should_backup(42)

37.929577

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0.821017

388

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0.134766

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0.15625

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0

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2,693

70

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0

0.25

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false

0

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0

null

0

1

0

null

0

1

0

7

490262227b1b04b0803be5b654afb8f3b88aa5df

6,217

py

Python

src/comportamento.py

jssfernandes/monopoly-simulations-python

c73d6ecf0f1be5075ecdb66bcdf54d5617761da6

[ "MIT" ]

null

src/comportamento.py

jssfernandes/monopoly-simulations-python

c73d6ecf0f1be5075ecdb66bcdf54d5617761da6

[ "MIT" ]

null

src/comportamento.py

jssfernandes/monopoly-simulations-python

c73d6ecf0f1be5075ecdb66bcdf54d5617761da6

[ "MIT" ]

null

from random import randint def impulsivo(tabuleiro, jogadores, jogador_atual): if tabuleiro[jogadores[jogador_atual]['posicao_atual']]['proprietario'] != jogadores[jogador_atual]['nome'] \ and jogadores[jogador_atual]['caixa'] > tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda']: print('Jogador = ', jogadores[jogador_atual]['nome']) print('saldo na conta = ', jogadores[jogador_atual]['caixa']) print('valor do imovel = ', tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda']) print('A propriedade é do =', tabuleiro[jogadores[jogador_atual]['posicao_atual']]['proprietario']) print('----' * 42) print('Propriedade pode ser comprada') print('----' * 42) jogadores[jogador_atual]['caixa'] = ( jogadores[jogador_atual]['caixa'] - tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda']) jogadores[jogador_atual]['propriedades'].append( jogadores[jogador_atual]['posicao_atual']) tabuleiro[jogadores[jogador_atual]['posicao_atual'] ]['proprietario'] = jogadores[jogador_atual]['nome'] print('Propriedade comprada!!!') print('----' * 42) print('NOVO SALDO = ', jogadores[jogador_atual]['caixa']) print('Total de propriedades = ', len( jogadores[jogador_atual]['propriedades'])) print('Detalhes = ', jogadores[jogador_atual]) print('----' * 42) def exigente(tabuleiro, jogadores, jogador_atual): if tabuleiro[jogadores[jogador_atual]['posicao_atual']]['proprietario'] != jogadores[jogador_atual]['nome'] \ and jogadores[jogador_atual]['caixa'] > tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda'] \ and tabuleiro[jogadores[jogador_atual]['posicao_atual']]['valor_aluguel'] > 50: print('Jogador = ', jogadores[jogador_atual]['nome']) print('saldo na conta = ', jogadores[jogador_atual]['caixa']) print('valor do imovel = ', tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda']) print('A propriedade é do =', tabuleiro[jogadores[jogador_atual]['posicao_atual']]['proprietario']) print('----' * 42) print('Propriedade pode ser comprada') print('----' * 42) jogadores[jogador_atual]['caixa'] = ( jogadores[jogador_atual]['caixa'] - tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda']) jogadores[jogador_atual]['propriedades'].append( jogadores[jogador_atual]['posicao_atual']) tabuleiro[jogadores[jogador_atual]['posicao_atual'] ]['proprietario'] = jogadores[jogador_atual]['nome'] print('Propriedade comprada!!!') print('----' * 42) print('NOVO SALDO = ', jogadores[jogador_atual]['caixa']) print('Total de propriedades = ', len( jogadores[jogador_atual]['propriedades'])) print('Detalhes = ', jogadores[jogador_atual]) print('----' * 42) def cauteloso(tabuleiro, jogadores, jogador_atual): if tabuleiro[jogadores[jogador_atual]['posicao_atual']]['proprietario'] != jogadores[jogador_atual]['nome'] \ and jogadores[jogador_atual]['caixa'] > tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda'] \ and jogadores[jogador_atual]['caixa'] - tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda'] >= 80: print('Jogador = ', jogadores[jogador_atual]['nome']) print('saldo na conta = ', jogadores[jogador_atual]['caixa']) print('valor do imovel = ', tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda']) print('A propriedade é do =', tabuleiro[jogadores[jogador_atual]['posicao_atual']]['proprietario']) print('----' * 42) print('Propriedade pode ser comprada') print('----' * 42) jogadores[jogador_atual]['caixa'] = ( jogadores[jogador_atual]['caixa'] - tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda']) jogadores[jogador_atual]['propriedades'].append( jogadores[jogador_atual]['posicao_atual']) tabuleiro[jogadores[jogador_atual]['posicao_atual'] ]['proprietario'] = jogadores[jogador_atual]['nome'] print('Propriedade comprada!!!') print('----' * 42) print('NOVO SALDO = ', jogadores[jogador_atual]['caixa']) print('Total de propriedades = ', len( jogadores[jogador_atual]['propriedades'])) print('Detalhes = ', jogadores[jogador_atual]) print('----' * 42) def aleatorio(tabuleiro, jogadores, jogador_atual): if tabuleiro[jogadores[jogador_atual]['posicao_atual']]['proprietario'] != jogadores[jogador_atual]['nome'] \ and jogadores[jogador_atual]['caixa'] > tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda'] \ and randint(0, 1) == 1: print('Jogador = ', jogadores[jogador_atual]['nome']) print('saldo na conta = ', jogadores[jogador_atual]['caixa']) print('valor do imovel = ', tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda']) print('A propriedade é do =', tabuleiro[jogadores[jogador_atual]['posicao_atual']]['proprietario']) print('----' * 42) print('Propriedade pode ser comprada') print('----' * 42) jogadores[jogador_atual]['caixa'] = ( jogadores[jogador_atual]['caixa'] - tabuleiro[jogadores[jogador_atual]['posicao_atual']]['custo_venda']) jogadores[jogador_atual]['propriedades'].append( jogadores[jogador_atual]['posicao_atual']) tabuleiro[jogadores[jogador_atual]['posicao_atual'] ]['proprietario'] = jogadores[jogador_atual]['nome'] print('Propriedade comprada!!!') print('----' * 42) print('NOVO SALDO = ', jogadores[jogador_atual]['caixa']) print('Total de propriedades = ', len( jogadores[jogador_atual]['propriedades'])) print('Detalhes = ', jogadores[jogador_atual]) print('----' * 42)

54.535088

126

0.627312

605

6,217

6.242975

0.077686

0.334657

0.439237

0.238284

0.976966

0.965846

0

0.007898

0.205726

6,217

113

127

55.017699

0.756987

0

0.913462

0

0.267492

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1

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false

0

0.009615

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0.048077

0.5

0

null

1

0

1

0

null

0

1

0

11

0b268bc5bbe09790da00c10cf204d267c085009a

208

py

Python

core/models/utils.py

gabrielloliveira/flaskweet

0fc21bfb62c1335ee009ceb9cda9071ca13a8c76

[ "MIT" ]

null

core/models/utils.py

gabrielloliveira/flaskweet

0fc21bfb62c1335ee009ceb9cda9071ca13a8c76

[ "MIT" ]

5

2020-04-03T14:40:27.000Z

2020-04-05T15:24:49.000Z

core/models/utils.py

gabrielloliveira/flaskweet

0fc21bfb62c1335ee009ceb9cda9071ca13a8c76

[ "MIT" ]

null

from passlib.hash import pbkdf2_sha256 def encrypt(password): return pbkdf2_sha256.hash(password) def verify(password, password_storaged): return pbkdf2_sha256.verify(password, password_storaged)

20.8

60

0.802885

26

208

6.230769

0.461538

0.222222

0.37037

0

0.065934

0.125

208

9

61

23.111111

0.824176

0

1

0.4

false

1

0.2

0.4

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

9

0b52e72434672d32d39db08deb42542aaa16a864

112

py

Python

app/forms.py

ghoshd1/docker-django-webapp-linux

5ea81a3b9d9e2ec91fcf1663c94ee2c63ca03888

[ "MIT" ]

48

2017-09-21T02:27:31.000Z

2022-03-21T13:40:59.000Z

app/forms.py

ghoshd1/docker-django-webapp-linux

5ea81a3b9d9e2ec91fcf1663c94ee2c63ca03888

[ "MIT" ]

7

2017-08-21T11:16:17.000Z

2020-07-20T14:45:11.000Z

app/forms.py

ghoshd1/docker-django-webapp-linux

5ea81a3b9d9e2ec91fcf1663c94ee2c63ca03888

[ "MIT" ]

161

2017-08-21T06:22:33.000Z

2022-03-31T15:36:08.000Z

""" Definition of forms. """ from django import forms from django.contrib.auth.forms import AuthenticationForm

16

56

0.785714

14

112

6.285714

0.642857

0.204545

0.340909

0

0.125

112

6

57

18.666667

0.897959

0.178571

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

e8de833ef4df53a07a1cea8aae0dc39b85f4a4b2

99

py

Python

tmp/test_d.py

wiki918/python_pytest_demo

32180f726cabbd7685dda04e72aa111b00677930

[ "BSD-3-Clause" ]

null

tmp/test_d.py

wiki918/python_pytest_demo

32180f726cabbd7685dda04e72aa111b00677930

[ "BSD-3-Clause" ]

null

tmp/test_d.py

wiki918/python_pytest_demo

32180f726cabbd7685dda04e72aa111b00677930

[ "BSD-3-Clause" ]

null

def test_d_1(): assert True def test_d_2(): assert True def test_d_3(): assert True

9.9

15

0.636364

18

99

3.166667

0.444444

0.368421

0.421053

0.596491

0.631579

0

0.041667

0.272727

99

9

16

11

0.75

0

0.5

0

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1

0.5

true

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

8

e8e8869aa6d2f8035a5c9cb25f059494072c9011

125

py

Python

recognizer/__init__.py

RukNdf/MA-Landmark

4038ebe7edc9e353e1987479f5f9edc528a4bd2a

[ "Unlicense" ]

null

recognizer/__init__.py

RukNdf/MA-Landmark

4038ebe7edc9e353e1987479f5f9edc528a4bd2a

[ "Unlicense" ]

null

recognizer/__init__.py

RukNdf/MA-Landmark

4038ebe7edc9e353e1987479f5f9edc528a4bd2a

[ "Unlicense" ]

null

from recognizer.ma_plan_recognizer import SATTeamPlanRecognizer from recognizer.sat_plan_recognizer import SATPlanRecognizer

41.666667

63

0.92

14

125

7.928571

0.571429

0.252252

0.36036

0

0.064

125

2

64

62.5

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true

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1

0

null

0

1

0

1

0

1

0

7

e8fc30ee308ece3ccfaac8fc5d5c6838afe37fa5

22,765

py

Python

sdk/python/pulumi_yandex/provider.py

pulumi/pulumi-yandex

559a0c82fd2b834bb5f1dc3abbf0dab689b13a3e

[ "ECL-2.0", "Apache-2.0" ]

9

2021-04-20T15:39:41.000Z

2022-02-20T09:14:39.000Z

sdk/python/pulumi_yandex/provider.py

pulumi/pulumi-yandex

559a0c82fd2b834bb5f1dc3abbf0dab689b13a3e

[ "ECL-2.0", "Apache-2.0" ]

56

2021-04-20T11:31:03.000Z

2022-03-31T15:53:06.000Z

sdk/python/pulumi_yandex/provider.py

pulumi/pulumi-yandex

559a0c82fd2b834bb5f1dc3abbf0dab689b13a3e

[ "ECL-2.0", "Apache-2.0" ]

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__ = ['ProviderArgs', 'Provider'] @pulumi.input_type class ProviderArgs: def __init__(__self__, *, cloud_id: Optional[pulumi.Input[str]] = None, endpoint: Optional[pulumi.Input[str]] = None, folder_id: Optional[pulumi.Input[str]] = None, insecure: Optional[pulumi.Input[bool]] = None, max_retries: Optional[pulumi.Input[int]] = None, plaintext: Optional[pulumi.Input[bool]] = None, service_account_key_file: Optional[pulumi.Input[str]] = None, storage_access_key: Optional[pulumi.Input[str]] = None, storage_endpoint: Optional[pulumi.Input[str]] = None, storage_secret_key: Optional[pulumi.Input[str]] = None, token: Optional[pulumi.Input[str]] = None, ymq_access_key: Optional[pulumi.Input[str]] = None, ymq_endpoint: Optional[pulumi.Input[str]] = None, ymq_secret_key: Optional[pulumi.Input[str]] = None, zone: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a Provider resource. :param pulumi.Input[str] cloud_id: ID of Yandex.Cloud tenant. :param pulumi.Input[str] endpoint: The API endpoint for Yandex.Cloud SDK client. :param pulumi.Input[str] folder_id: The default folder ID where resources will be placed. :param pulumi.Input[bool] insecure: Explicitly allow the provider to perform "insecure" SSL requests. If omitted,default value is `false`. :param pulumi.Input[int] max_retries: The maximum number of times an API request is being executed. If the API request still fails, an error is thrown. :param pulumi.Input[bool] plaintext: Disable use of TLS. Default value is `false`. :param pulumi.Input[str] service_account_key_file: Either the path to or the contents of a Service Account key file in JSON format. :param pulumi.Input[str] storage_access_key: Yandex.Cloud storage service access key. Used when a storage data/resource doesn't have an access key explicitly specified. :param pulumi.Input[str] storage_endpoint: Yandex.Cloud storage service endpoint. Default is storage.yandexcloud.net :param pulumi.Input[str] storage_secret_key: Yandex.Cloud storage service secret key. Used when a storage data/resource doesn't have a secret key explicitly specified. :param pulumi.Input[str] token: The access token for API operations. :param pulumi.Input[str] ymq_access_key: Yandex.Cloud Message Queue service access key. Used when a message queue resource doesn't have an access key explicitly specified. :param pulumi.Input[str] ymq_endpoint: Yandex.Cloud Message Queue service endpoint. Default is message-queue.api.cloud.yandex.net :param pulumi.Input[str] ymq_secret_key: Yandex.Cloud Message Queue service secret key. Used when a message queue resource doesn't have a secret key explicitly specified. :param pulumi.Input[str] zone: The zone where operations will take place. Examples are ru-central1-a, ru-central2-c, etc. """ if cloud_id is not None: pulumi.set(__self__, "cloud_id", cloud_id) if endpoint is not None: pulumi.set(__self__, "endpoint", endpoint) if folder_id is not None: pulumi.set(__self__, "folder_id", folder_id) if insecure is not None: pulumi.set(__self__, "insecure", insecure) if max_retries is not None: pulumi.set(__self__, "max_retries", max_retries) if plaintext is not None: pulumi.set(__self__, "plaintext", plaintext) if service_account_key_file is not None: pulumi.set(__self__, "service_account_key_file", service_account_key_file) if storage_access_key is not None: pulumi.set(__self__, "storage_access_key", storage_access_key) if storage_endpoint is not None: pulumi.set(__self__, "storage_endpoint", storage_endpoint) if storage_secret_key is not None: pulumi.set(__self__, "storage_secret_key", storage_secret_key) if token is not None: pulumi.set(__self__, "token", token) if ymq_access_key is not None: pulumi.set(__self__, "ymq_access_key", ymq_access_key) if ymq_endpoint is not None: pulumi.set(__self__, "ymq_endpoint", ymq_endpoint) if ymq_secret_key is not None: pulumi.set(__self__, "ymq_secret_key", ymq_secret_key) if zone is not None: pulumi.set(__self__, "zone", zone) @property @pulumi.getter(name="cloudId") def cloud_id(self) -> Optional[pulumi.Input[str]]: """ ID of Yandex.Cloud tenant. """ return pulumi.get(self, "cloud_id") @cloud_id.setter def cloud_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "cloud_id", value) @property @pulumi.getter def endpoint(self) -> Optional[pulumi.Input[str]]: """ The API endpoint for Yandex.Cloud SDK client. """ return pulumi.get(self, "endpoint") @endpoint.setter def endpoint(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "endpoint", value) @property @pulumi.getter(name="folderId") def folder_id(self) -> Optional[pulumi.Input[str]]: """ The default folder ID where resources will be placed. """ return pulumi.get(self, "folder_id") @folder_id.setter def folder_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "folder_id", value) @property @pulumi.getter def insecure(self) -> Optional[pulumi.Input[bool]]: """ Explicitly allow the provider to perform "insecure" SSL requests. If omitted,default value is `false`. """ return pulumi.get(self, "insecure") @insecure.setter def insecure(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "insecure", value) @property @pulumi.getter(name="maxRetries") def max_retries(self) -> Optional[pulumi.Input[int]]: """ The maximum number of times an API request is being executed. If the API request still fails, an error is thrown. """ return pulumi.get(self, "max_retries") @max_retries.setter def max_retries(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "max_retries", value) @property @pulumi.getter def plaintext(self) -> Optional[pulumi.Input[bool]]: """ Disable use of TLS. Default value is `false`. """ return pulumi.get(self, "plaintext") @plaintext.setter def plaintext(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "plaintext", value) @property @pulumi.getter(name="serviceAccountKeyFile") def service_account_key_file(self) -> Optional[pulumi.Input[str]]: """ Either the path to or the contents of a Service Account key file in JSON format. """ return pulumi.get(self, "service_account_key_file") @service_account_key_file.setter def service_account_key_file(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "service_account_key_file", value) @property @pulumi.getter(name="storageAccessKey") def storage_access_key(self) -> Optional[pulumi.Input[str]]: """ Yandex.Cloud storage service access key. Used when a storage data/resource doesn't have an access key explicitly specified. """ return pulumi.get(self, "storage_access_key") @storage_access_key.setter def storage_access_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "storage_access_key", value) @property @pulumi.getter(name="storageEndpoint") def storage_endpoint(self) -> Optional[pulumi.Input[str]]: """ Yandex.Cloud storage service endpoint. Default is storage.yandexcloud.net """ return pulumi.get(self, "storage_endpoint") @storage_endpoint.setter def storage_endpoint(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "storage_endpoint", value) @property @pulumi.getter(name="storageSecretKey") def storage_secret_key(self) -> Optional[pulumi.Input[str]]: """ Yandex.Cloud storage service secret key. Used when a storage data/resource doesn't have a secret key explicitly specified. """ return pulumi.get(self, "storage_secret_key") @storage_secret_key.setter def storage_secret_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "storage_secret_key", value) @property @pulumi.getter def token(self) -> Optional[pulumi.Input[str]]: """ The access token for API operations. """ return pulumi.get(self, "token") @token.setter def token(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "token", value) @property @pulumi.getter(name="ymqAccessKey") def ymq_access_key(self) -> Optional[pulumi.Input[str]]: """ Yandex.Cloud Message Queue service access key. Used when a message queue resource doesn't have an access key explicitly specified. """ return pulumi.get(self, "ymq_access_key") @ymq_access_key.setter def ymq_access_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "ymq_access_key", value) @property @pulumi.getter(name="ymqEndpoint") def ymq_endpoint(self) -> Optional[pulumi.Input[str]]: """ Yandex.Cloud Message Queue service endpoint. Default is message-queue.api.cloud.yandex.net """ return pulumi.get(self, "ymq_endpoint") @ymq_endpoint.setter def ymq_endpoint(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "ymq_endpoint", value) @property @pulumi.getter(name="ymqSecretKey") def ymq_secret_key(self) -> Optional[pulumi.Input[str]]: """ Yandex.Cloud Message Queue service secret key. Used when a message queue resource doesn't have a secret key explicitly specified. """ return pulumi.get(self, "ymq_secret_key") @ymq_secret_key.setter def ymq_secret_key(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "ymq_secret_key", value) @property @pulumi.getter def zone(self) -> Optional[pulumi.Input[str]]: """ The zone where operations will take place. Examples are ru-central1-a, ru-central2-c, etc. """ return pulumi.get(self, "zone") @zone.setter def zone(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "zone", value) class Provider(pulumi.ProviderResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, cloud_id: Optional[pulumi.Input[str]] = None, endpoint: Optional[pulumi.Input[str]] = None, folder_id: Optional[pulumi.Input[str]] = None, insecure: Optional[pulumi.Input[bool]] = None, max_retries: Optional[pulumi.Input[int]] = None, plaintext: Optional[pulumi.Input[bool]] = None, service_account_key_file: Optional[pulumi.Input[str]] = None, storage_access_key: Optional[pulumi.Input[str]] = None, storage_endpoint: Optional[pulumi.Input[str]] = None, storage_secret_key: Optional[pulumi.Input[str]] = None, token: Optional[pulumi.Input[str]] = None, ymq_access_key: Optional[pulumi.Input[str]] = None, ymq_endpoint: Optional[pulumi.Input[str]] = None, ymq_secret_key: Optional[pulumi.Input[str]] = None, zone: Optional[pulumi.Input[str]] = None, __props__=None): """ The provider type for the yandex package. By default, resources use package-wide configuration settings, however an explicit `Provider` instance may be created and passed during resource construction to achieve fine-grained programmatic control over provider settings. See the [documentation](https://www.pulumi.com/docs/reference/programming-model/#providers) for more information. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] cloud_id: ID of Yandex.Cloud tenant. :param pulumi.Input[str] endpoint: The API endpoint for Yandex.Cloud SDK client. :param pulumi.Input[str] folder_id: The default folder ID where resources will be placed. :param pulumi.Input[bool] insecure: Explicitly allow the provider to perform "insecure" SSL requests. If omitted,default value is `false`. :param pulumi.Input[int] max_retries: The maximum number of times an API request is being executed. If the API request still fails, an error is thrown. :param pulumi.Input[bool] plaintext: Disable use of TLS. Default value is `false`. :param pulumi.Input[str] service_account_key_file: Either the path to or the contents of a Service Account key file in JSON format. :param pulumi.Input[str] storage_access_key: Yandex.Cloud storage service access key. Used when a storage data/resource doesn't have an access key explicitly specified. :param pulumi.Input[str] storage_endpoint: Yandex.Cloud storage service endpoint. Default is storage.yandexcloud.net :param pulumi.Input[str] storage_secret_key: Yandex.Cloud storage service secret key. Used when a storage data/resource doesn't have a secret key explicitly specified. :param pulumi.Input[str] token: The access token for API operations. :param pulumi.Input[str] ymq_access_key: Yandex.Cloud Message Queue service access key. Used when a message queue resource doesn't have an access key explicitly specified. :param pulumi.Input[str] ymq_endpoint: Yandex.Cloud Message Queue service endpoint. Default is message-queue.api.cloud.yandex.net :param pulumi.Input[str] ymq_secret_key: Yandex.Cloud Message Queue service secret key. Used when a message queue resource doesn't have a secret key explicitly specified. :param pulumi.Input[str] zone: The zone where operations will take place. Examples are ru-central1-a, ru-central2-c, etc. """ ... @overload def __init__(__self__, resource_name: str, args: Optional[ProviderArgs] = None, opts: Optional[pulumi.ResourceOptions] = None): """ The provider type for the yandex package. By default, resources use package-wide configuration settings, however an explicit `Provider` instance may be created and passed during resource construction to achieve fine-grained programmatic control over provider settings. See the [documentation](https://www.pulumi.com/docs/reference/programming-model/#providers) for more information. :param str resource_name: The name of the resource. :param ProviderArgs 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(ProviderArgs, 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, cloud_id: Optional[pulumi.Input[str]] = None, endpoint: Optional[pulumi.Input[str]] = None, folder_id: Optional[pulumi.Input[str]] = None, insecure: Optional[pulumi.Input[bool]] = None, max_retries: Optional[pulumi.Input[int]] = None, plaintext: Optional[pulumi.Input[bool]] = None, service_account_key_file: Optional[pulumi.Input[str]] = None, storage_access_key: Optional[pulumi.Input[str]] = None, storage_endpoint: Optional[pulumi.Input[str]] = None, storage_secret_key: Optional[pulumi.Input[str]] = None, token: Optional[pulumi.Input[str]] = None, ymq_access_key: Optional[pulumi.Input[str]] = None, ymq_endpoint: Optional[pulumi.Input[str]] = None, ymq_secret_key: Optional[pulumi.Input[str]] = None, zone: 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__ = ProviderArgs.__new__(ProviderArgs) __props__.__dict__["cloud_id"] = cloud_id __props__.__dict__["endpoint"] = endpoint __props__.__dict__["folder_id"] = folder_id __props__.__dict__["insecure"] = pulumi.Output.from_input(insecure).apply(pulumi.runtime.to_json) if insecure is not None else None __props__.__dict__["max_retries"] = pulumi.Output.from_input(max_retries).apply(pulumi.runtime.to_json) if max_retries is not None else None __props__.__dict__["plaintext"] = pulumi.Output.from_input(plaintext).apply(pulumi.runtime.to_json) if plaintext is not None else None __props__.__dict__["service_account_key_file"] = service_account_key_file __props__.__dict__["storage_access_key"] = storage_access_key __props__.__dict__["storage_endpoint"] = storage_endpoint __props__.__dict__["storage_secret_key"] = storage_secret_key __props__.__dict__["token"] = token __props__.__dict__["ymq_access_key"] = ymq_access_key __props__.__dict__["ymq_endpoint"] = ymq_endpoint __props__.__dict__["ymq_secret_key"] = ymq_secret_key __props__.__dict__["zone"] = zone super(Provider, __self__).__init__( 'yandex', resource_name, __props__, opts) @property @pulumi.getter(name="cloudId") def cloud_id(self) -> pulumi.Output[Optional[str]]: """ ID of Yandex.Cloud tenant. """ return pulumi.get(self, "cloud_id") @property @pulumi.getter def endpoint(self) -> pulumi.Output[Optional[str]]: """ The API endpoint for Yandex.Cloud SDK client. """ return pulumi.get(self, "endpoint") @property @pulumi.getter(name="folderId") def folder_id(self) -> pulumi.Output[Optional[str]]: """ The default folder ID where resources will be placed. """ return pulumi.get(self, "folder_id") @property @pulumi.getter(name="serviceAccountKeyFile") def service_account_key_file(self) -> pulumi.Output[Optional[str]]: """ Either the path to or the contents of a Service Account key file in JSON format. """ return pulumi.get(self, "service_account_key_file") @property @pulumi.getter(name="storageAccessKey") def storage_access_key(self) -> pulumi.Output[Optional[str]]: """ Yandex.Cloud storage service access key. Used when a storage data/resource doesn't have an access key explicitly specified. """ return pulumi.get(self, "storage_access_key") @property @pulumi.getter(name="storageEndpoint") def storage_endpoint(self) -> pulumi.Output[Optional[str]]: """ Yandex.Cloud storage service endpoint. Default is storage.yandexcloud.net """ return pulumi.get(self, "storage_endpoint") @property @pulumi.getter(name="storageSecretKey") def storage_secret_key(self) -> pulumi.Output[Optional[str]]: """ Yandex.Cloud storage service secret key. Used when a storage data/resource doesn't have a secret key explicitly specified. """ return pulumi.get(self, "storage_secret_key") @property @pulumi.getter def token(self) -> pulumi.Output[Optional[str]]: """ The access token for API operations. """ return pulumi.get(self, "token") @property @pulumi.getter(name="ymqAccessKey") def ymq_access_key(self) -> pulumi.Output[Optional[str]]: """ Yandex.Cloud Message Queue service access key. Used when a message queue resource doesn't have an access key explicitly specified. """ return pulumi.get(self, "ymq_access_key") @property @pulumi.getter(name="ymqEndpoint") def ymq_endpoint(self) -> pulumi.Output[Optional[str]]: """ Yandex.Cloud Message Queue service endpoint. Default is message-queue.api.cloud.yandex.net """ return pulumi.get(self, "ymq_endpoint") @property @pulumi.getter(name="ymqSecretKey") def ymq_secret_key(self) -> pulumi.Output[Optional[str]]: """ Yandex.Cloud Message Queue service secret key. Used when a message queue resource doesn't have a secret key explicitly specified. """ return pulumi.get(self, "ymq_secret_key") @property @pulumi.getter def zone(self) -> pulumi.Output[Optional[str]]: """ The zone where operations will take place. Examples are ru-central1-a, ru-central2-c, etc. """ return pulumi.get(self, "zone")

46.176471

168

0.65302

2,801

22,765

5.103534

0.076401

0.081567

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0.09234

0.868555

0.83057

0.776285

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1

0.162069

false

0.003448

0.017241

0

0.27931

0

null

0

1

0

1

0

null

0

7

33052aaad10d8d7e42950e3406dcb710b5793260

3,885

py

Python

run_accuracy_tests.py

j3ygithub/hijson

ac4471f27edc23545ec06393cdb6b037aa0399d3

[ "MIT" ]

null

run_accuracy_tests.py

j3ygithub/hijson

ac4471f27edc23545ec06393cdb6b037aa0399d3

[ "MIT" ]

null

run_accuracy_tests.py

j3ygithub/hijson

ac4471f27edc23545ec06393cdb6b037aa0399d3

[ "MIT" ]

null

import json import unittest from json_parsers import stringify, parse class JsonStringifyTestCase(unittest.TestCase): def test_null(self): value = None self.assertEqual(stringify(value), json.dumps(value)) def test_true(self): value = True self.assertEqual(stringify(value), json.dumps(value)) def test_false(self): value = False self.assertEqual(stringify(value), json.dumps(value)) def test_integer(self): value = 6 self.assertEqual(stringify(value), json.dumps(value)) def test_negative_integer(self): value = -8 self.assertEqual(stringify(value), json.dumps(value)) def test_empty_string(self): value = "" self.assertEqual(stringify(value), json.dumps(value)) def test_single_letter_string(self): value = "f" self.assertEqual(stringify(value), json.dumps(value)) def test_string(self): value = "oo" self.assertEqual(stringify(value), json.dumps(value)) def test_strange_string(self): value = "\"'\\" self.assertEqual(stringify(value), json.dumps(value)) def test_empty_(self): value = [] self.assertEqual(stringify(value), json.dumps(value)) def test_array(self): value = [None, True, False, 6, -8, "", "f", "oo"] self.assertEqual(stringify(value), json.dumps(value)) def test_nested_array(self): value = [ None, True, False, 6, -8, "", "f", "oo", [None, True, False, 6, -8, "", "f", "oo"], ] self.assertEqual(stringify(value), json.dumps(value)) def test_empty_object(self): value = {} self.assertEqual(stringify(value), json.dumps(value)) def test_object(self): value = { "None": None, "True": True, "False": False, "": "", "f": "f", "oo": "oo", "array": [None, True, False, 6, -8, "", "f", "oo"], } self.assertEqual(stringify(value), json.dumps(value)) def test_nested_object(self): value = { "None": None, "True": True, "False": False, "": "", "f": "f", "oo": "oo", "array": [None, True, False, 6, -8, "", "f", "oo"], "object": { "None": None, "True": True, "False": False, "": "", "f": "f", "oo": "oo", "array": [None, True, False, 6, -8, "", "f", "oo"], }, } self.assertEqual(stringify(value), json.dumps(value)) class JsonParseTestCase(unittest.TestCase): def test_null(self): value = "null" self.assertEqual(parse(value), json.loads(value)) def test_true(self): value = "true" self.assertEqual(parse(value), json.loads(value)) def test_false(self): value = "false" self.assertEqual(parse(value), json.loads(value)) def test_integer(self): value = "6" self.assertEqual(parse(value), json.loads(value)) def test_negative_integer(self): value = "-8" self.assertEqual(parse(value), json.loads(value)) def test_empty_string(self): value = '""' self.assertEqual(parse(value), json.loads(value)) def test_single_letter_string(self): value = '"f"' self.assertEqual(parse(value), json.loads(value)) def test_string(self): value = '"oo"' self.assertEqual(parse(value), json.loads(value)) def test_strange_string(self): value = '"\\"\'\\\\"' self.assertEqual(parse(value), json.loads(value)) if __name__ == "__main__": unittest.main()

26.979167

67

0.531532

414

3,885

4.874396

0.094203

0.083251

0.130823

0.21556

0.926165

0.890486

0.563429

0

0.00602

0.31583

3,885

143

68

27.167832

0.753198

0

0.570175

0

0.035088

0.035521

0

0.210526

1

0.210526

false

0

0.026316

0

0.254386

0

null

0

1

0

null

0

1

0

7

33328bfab76c8846d7da10e54cab6f816bf1cbe1

48,131

gyp

Python

library/openssl/1.0.1j.gyp

KjellSchubert/bru

dd70b721d07fbd27c57c845cc3a29cd8f2dfc587

[ "MIT" ]

3

2015-01-06T15:22:16.000Z

2015-11-27T18:13:04.000Z

library/openssl/1.0.1j.gyp

KjellSchubert/bru

dd70b721d07fbd27c57c845cc3a29cd8f2dfc587

[ "MIT" ]

7

2015-02-10T15:13:38.000Z

2021-05-30T07:51:13.000Z

library/openssl/1.0.1j.gyp

KjellSchubert/bru

dd70b721d07fbd27c57c845cc3a29cd8f2dfc587

[ "MIT" ]

3

2015-01-29T17:19:53.000Z

2016-01-06T12:50:06.000Z

{ "targets": [ { # OpenSSL has a lot of config options, with some default options # enabling known insecure algorithms. What's a good combinations # of openssl config options? # ./config no-asm no-shared no-ssl2 no-ssl3 no-hw no-zlib no-threads # ? # See also http://codefromthe70s.org/sslimprov.aspx "target_name": "openssl", "type": "static_library", # The list of sources I computed on Windows via: # >cd bru_modules\openssl\1.0.1j\openssl-1.0.1j # >perl Configure VC-WIN32 no-asm no-ssl2 no-ssl3 no-hw # >call ms\\do_ms.bat # >nmake /n /f ms\nt.mak > nmake.log # >cd bru_modules\openssl # where the *.gyp is located # >~\bru\makefile2gyp.py 1.0.1j\openssl-1.0.1j\nmake.log "sources": [ "1.0.1j/openssl-1.0.1j/crypto/aes/aes_cbc.c", "1.0.1j/openssl-1.0.1j/crypto/aes/aes_cfb.c", "1.0.1j/openssl-1.0.1j/crypto/aes/aes_core.c", "1.0.1j/openssl-1.0.1j/crypto/aes/aes_ctr.c", "1.0.1j/openssl-1.0.1j/crypto/aes/aes_ecb.c", "1.0.1j/openssl-1.0.1j/crypto/aes/aes_ige.c", "1.0.1j/openssl-1.0.1j/crypto/aes/aes_misc.c", "1.0.1j/openssl-1.0.1j/crypto/aes/aes_ofb.c", "1.0.1j/openssl-1.0.1j/crypto/aes/aes_wrap.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_bitstr.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_bool.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_bytes.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_d2i_fp.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_digest.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_dup.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_enum.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_gentm.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_i2d_fp.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_int.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_mbstr.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_object.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_octet.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_print.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_set.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_sign.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_strex.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_strnid.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_time.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_type.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_utctm.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_utf8.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/a_verify.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/ameth_lib.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/asn1_err.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/asn1_gen.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/asn1_lib.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/asn1_par.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/asn_mime.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/asn_moid.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/asn_pack.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/bio_asn1.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/bio_ndef.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/d2i_pr.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/d2i_pu.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/evp_asn1.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/f_enum.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/f_int.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/f_string.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/i2d_pr.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/i2d_pu.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/n_pkey.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/nsseq.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/p5_pbe.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/p5_pbev2.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/p8_pkey.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/t_bitst.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/t_crl.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/t_pkey.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/t_req.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/t_spki.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/t_x509.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/t_x509a.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/tasn_dec.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/tasn_enc.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/tasn_fre.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/tasn_new.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/tasn_prn.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/tasn_typ.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/tasn_utl.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/x_algor.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/x_attrib.c", "1.0.1j/openssl-1.0.1j/crypto/asn1/x_bignum.c", 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"1.0.1j/openssl-1.0.1j/crypto/bio/b_print.c", "1.0.1j/openssl-1.0.1j/crypto/bio/b_sock.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bf_buff.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bf_nbio.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bf_null.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bio_cb.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bio_err.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bio_lib.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bss_acpt.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bss_bio.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bss_conn.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bss_dgram.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bss_fd.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bss_file.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bss_log.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bss_mem.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bss_null.c", "1.0.1j/openssl-1.0.1j/crypto/bio/bss_sock.c", "1.0.1j/openssl-1.0.1j/crypto/bn/bn_add.c", "1.0.1j/openssl-1.0.1j/crypto/bn/bn_asm.c", "1.0.1j/openssl-1.0.1j/crypto/bn/bn_blind.c", 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"1.0.1j/openssl-1.0.1j/crypto/ts/ts_err.c", "1.0.1j/openssl-1.0.1j/crypto/ts/ts_lib.c", "1.0.1j/openssl-1.0.1j/crypto/ts/ts_req_print.c", "1.0.1j/openssl-1.0.1j/crypto/ts/ts_req_utils.c", "1.0.1j/openssl-1.0.1j/crypto/ts/ts_rsp_print.c", "1.0.1j/openssl-1.0.1j/crypto/ts/ts_rsp_sign.c", "1.0.1j/openssl-1.0.1j/crypto/ts/ts_rsp_utils.c", "1.0.1j/openssl-1.0.1j/crypto/ts/ts_rsp_verify.c", "1.0.1j/openssl-1.0.1j/crypto/ts/ts_verify_ctx.c", "1.0.1j/openssl-1.0.1j/crypto/txt_db/txt_db.c", "1.0.1j/openssl-1.0.1j/crypto/ui/ui_compat.c", "1.0.1j/openssl-1.0.1j/crypto/ui/ui_err.c", "1.0.1j/openssl-1.0.1j/crypto/ui/ui_lib.c", "1.0.1j/openssl-1.0.1j/crypto/ui/ui_openssl.c", "1.0.1j/openssl-1.0.1j/crypto/ui/ui_util.c", "1.0.1j/openssl-1.0.1j/crypto/uid.c", "1.0.1j/openssl-1.0.1j/crypto/whrlpool/wp_block.c", "1.0.1j/openssl-1.0.1j/crypto/whrlpool/wp_dgst.c", "1.0.1j/openssl-1.0.1j/crypto/whrlpool/wp_test.c", "1.0.1j/openssl-1.0.1j/crypto/x509/by_dir.c", "1.0.1j/openssl-1.0.1j/crypto/x509/by_file.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_att.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_cmp.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_d2.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_def.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_err.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_ext.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_lu.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_obj.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_r2x.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_req.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_set.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_trs.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_txt.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_v3.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_vfy.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509_vpm.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509cset.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509name.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509rset.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509spki.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x509type.c", "1.0.1j/openssl-1.0.1j/crypto/x509/x_all.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/pcy_cache.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/pcy_data.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/pcy_lib.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/pcy_map.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/pcy_node.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/pcy_tree.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_addr.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_akey.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_akeya.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_alt.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_asid.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_bcons.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_bitst.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_conf.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_cpols.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_crld.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_enum.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_extku.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_genn.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_ia5.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_info.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_int.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_lib.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_ncons.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_ocsp.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_pci.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_pcia.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_pcons.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_pku.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_pmaps.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_prn.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_purp.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_skey.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_sxnet.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3_utl.c", "1.0.1j/openssl-1.0.1j/crypto/x509v3/v3err.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/e_gost_err.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost2001.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost2001_keyx.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost89.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost94_keyx.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost_ameth.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost_asn1.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost_crypt.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost_ctl.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost_eng.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost_keywrap.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost_md.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost_params.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost_pmeth.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gost_sign.c", "1.0.1j/openssl-1.0.1j/engines/ccgost/gosthash.c", "1.0.1j/openssl-1.0.1j/engines/e_4758cca.c", "1.0.1j/openssl-1.0.1j/engines/e_aep.c", "1.0.1j/openssl-1.0.1j/engines/e_atalla.c", "1.0.1j/openssl-1.0.1j/engines/e_capi.c", "1.0.1j/openssl-1.0.1j/engines/e_chil.c", "1.0.1j/openssl-1.0.1j/engines/e_cswift.c", "1.0.1j/openssl-1.0.1j/engines/e_gmp.c", "1.0.1j/openssl-1.0.1j/engines/e_nuron.c", "1.0.1j/openssl-1.0.1j/engines/e_padlock.c", "1.0.1j/openssl-1.0.1j/engines/e_sureware.c", "1.0.1j/openssl-1.0.1j/engines/e_ubsec.c", # these are from ssl/Makefile, not sure why these didn't # show up in the Windows nt.mak file. "1.0.1j/openssl-1.0.1j/ssl/*.c" ], "sources!": [ # exclude various tests that provide an impl of main(): "1.0.1j/openssl-1.0.1j/crypto/*/*test.c", "1.0.1j/openssl-1.0.1j/crypto/sha/sha256t.c", "1.0.1j/openssl-1.0.1j/crypto/sha/sha512t.c", "1.0.1j/openssl-1.0.1j/crypto/*test.c", "1.0.1j/openssl-1.0.1j/ssl/*test.c", "1.0.1j/openssl-1.0.1j/ssl/ssl_task*.c" ], "direct_dependent_settings": { "include_dirs": [ "1.0.1j/openssl-1.0.1j/include" ] }, "include_dirs": [ "1.0.1j/openssl-1.0.1j/include", "1.0.1j/openssl-1.0.1j/crypto", # e.g. cryptlib.h "1.0.1j/openssl-1.0.1j/crypto/asn1", # e.g. asn1_locl.h "1.0.1j/openssl-1.0.1j/crypto/evp", # e.g. evp_locl.h "1.0.1j/openssl-1.0.1j/crypto/modes", "1.0.1j/openssl-1.0.1j" # e.g. e_os.h ], "defines": [ # #defines shared across platforms copied from ms\nt.mak "OPENSSL_NO_RC4", "OPENSSL_NO_RC5", "OPENSSL_NO_MD2", "OPENSSL_NO_SSL2", "OPENSSL_NO_SSL3", "OPENSSL_NO_KRB5", "OPENSSL_NO_HW", "OPENSSL_NO_JPAKE", "OPENSSL_NO_DYNAMIC_ENGINE" ], "conditions": [ ["OS=='win'", { "defines": [ # from ms\nt.mak "OPENSSL_THREADS", "DSO_WIN32", "OPENSSL_SYSNAME_WIN32", "WIN32_LEAN_AND_MEAN", "L_ENDIAN", "_CRT_SECURE_NO_DEPRECATE", "NO_WINDOWS_BRAINDEATH" # for cversion.c ], "link_settings" : { "libraries" : [ # external libs (from nt.mak) "-lws2_32.lib", "-lgdi32.lib", "-ladvapi32.lib", "-lcrypt32.lib", "-luser32.lib" ] } }], ["OS=='mac'", { "defines": [ "OPENSSL_NO_EC_NISTP_64_GCC_128", "OPENSSL_NO_GMP", "OPENSSL_NO_JPAKE", "OPENSSL_NO_MD2", "OPENSSL_NO_RC5", "OPENSSL_NO_RFC3779", "OPENSSL_NO_SCTP", "OPENSSL_NO_SSL2", "OPENSSL_NO_SSL3", "OPENSSL_NO_STORE", "OPENSSL_NO_UNIT_TEST", "NO_WINDOWS_BRAINDEATH" ] }], ["OS=='iOS'", { "defines": [ "OPENSSL_NO_EC_NISTP_64_GCC_128", "OPENSSL_NO_GMP", "OPENSSL_NO_JPAKE", "OPENSSL_NO_MD2", "OPENSSL_NO_RC5", "OPENSSL_NO_RFC3779", "OPENSSL_NO_SCTP", "OPENSSL_NO_SSL2", "OPENSSL_NO_SSL3", "OPENSSL_NO_STORE", "OPENSSL_NO_UNIT_TEST", "NO_WINDOWS_BRAINDEATH" ] }], ["OS=='linux'", { "defines": [ # from Linux Makefile after ./configure "DSO_DLFCN", "HAVE_DLFCN_H", "L_ENDIAN", # TODO: revisit! "TERMIO", # otherwise with clang 3.5 on Ubuntu it get errors around # ROTATE() macro's inline asm. Error I had not got on # Centos with clang 3.4. # Note that this is only a problem with cflags -no-integrated-as # which was necessary for clang 3.4. Messy. TODO: revisit "OPENSSL_NO_INLINE_ASM", "NO_WINDOWS_BRAINDEATH" # for cversion.c, otherwise error (where is buildinf.h?) ], "link_settings" : { "libraries" : [ "-ldl" ] } }] ] }, { "target_name": "ssltest", "type": "executable", "test": { "cwd": "1.0.1j/openssl-1.0.1j/test" }, "defines": [ # without these we get linker errors since the test assumes # by default that SSL2 & 3 was built "OPENSSL_NO_RC4", "OPENSSL_NO_RC5", "OPENSSL_NO_MD2", "OPENSSL_NO_SSL2", "OPENSSL_NO_SSL3", "OPENSSL_NO_KRB5", "OPENSSL_NO_HW", "OPENSSL_NO_JPAKE", "OPENSSL_NO_DYNAMIC_ENGINE" ], "include_dirs": [ "1.0.1j/openssl-1.0.1j" # e.g. e_os.h ], "sources": [ # note how the ssl test depends on many #defines set via # ./configure. Do these need to be passed to the test build # explicitly? Apparently not. "1.0.1j/openssl-1.0.1j/ssl/ssltest.c" ], "dependencies": [ "openssl" ], # this disables building the example on iOS "conditions": [ ["OS=='iOS'", { "type": "none" } ] ] } # compile one of the (interactive) openssl demo apps to verify correct # compiler & linker settings in upstream gyp target: # P.S.: I dont think this test can compile on Windows, so this is not # suitable as a cross-platform test. #{ # "target_name": "demos-easy_tls", # "type": "executable", # not suitable as a test, just building this to see if it links #"test": { # "cwd": "1.0.1j/openssl-1.0.1j/demos/easy_tls" #}, # "include_dir": [ "1.0.1j/openssl-1.0.1j/demos/easy_tls" ], # "sources": [ # "1.0.1j/openssl-1.0.1j/demos/easy_tls/test.c", # "1.0.1j/openssl-1.0.1j/demos/easy_tls/easy-tls.c" # ], # "dependencies": [ "openssl" ] #} ] }

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0.851609

0.840825

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48,131

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57.572967

0.564491

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0.101673

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3336f6b72554e5a50eef69d3f80865d290c3202d

23,637

py

Python

test/test_schema_validation.py

rob-earwaker/jsch

adb0efb531a1fd75a156e19a78f2be83f9326a17

[ "MIT" ]

null

test/test_schema_validation.py

rob-earwaker/jsch

adb0efb531a1fd75a156e19a78f2be83f9326a17

[ "MIT" ]

null

test/test_schema_validation.py

rob-earwaker/jsch

adb0efb531a1fd75a156e19a78f2be83f9326a17

[ "MIT" ]

null

import unittest import jsch class SchemaValidationTestCase(unittest.TestCase): def assertRaisesSchemaValidationError(self, message): regex = '^{0}$'.format(message) return self.assertRaisesRegex(jsch.SchemaValidationError, regex) class TestAdditionalItemsValidation(SchemaValidationTestCase): def test_passes_when_bool(self): jsch.Schema(additional_items=True) def test_passes_when_schema(self): jsch.Schema(additional_items=jsch.Schema()) def test_fails_when_not_bool_or_schema(self): message = "'additional_items' must be a bool or a schema" with self.assertRaisesSchemaValidationError(message): jsch.Schema(additional_items='False') class TestAdditionalPropertiesValidation(SchemaValidationTestCase): def test_passes_when_bool(self): jsch.Schema(additional_properties=True) def test_passes_when_schema(self): jsch.Schema(additional_properties=jsch.Schema()) def test_fails_when_not_bool_or_schema(self): message = "'additional_properties' must be a bool or a schema" with self.assertRaisesSchemaValidationError(message): jsch.Schema(additional_properties='False') class TestAllOfValidation(SchemaValidationTestCase): def test_passes_when_list(self): jsch.Schema(all_of=[jsch.Schema(), jsch.Schema()]) def test_fails_when_not_list(self): message = "'all_of' must be a list" with self.assertRaisesSchemaValidationError(message): jsch.Schema(all_of='[]') def test_fails_when_list_empty(self): message = "'all_of' list must not be empty" with self.assertRaisesSchemaValidationError(message): jsch.Schema(all_of=[]) def test_fails_when_list_item_not_schema(self): message = "'all_of' list item must be a schema" with self.assertRaisesSchemaValidationError(message): jsch.Schema(all_of=[jsch.Schema(), '{}']) class TestAnyOfValidation(SchemaValidationTestCase): def test_passes_when_list(self): jsch.Schema(any_of=[jsch.Schema(), jsch.Schema()]) def test_fails_when_not_list(self): message = "'any_of' must be a list" with self.assertRaisesSchemaValidationError(message): jsch.Schema(any_of='[]') def test_fails_when_list_empty(self): message = "'any_of' list must not be empty" with self.assertRaisesSchemaValidationError(message): jsch.Schema(any_of=[]) def test_fails_when_list_item_not_schema(self): message = "'any_of' list item must be a schema" with self.assertRaisesSchemaValidationError(message): jsch.Schema(any_of=[jsch.Schema(), '{}']) class TestDefaultValidation(SchemaValidationTestCase): def test_passes_when_list(self): jsch.Schema(default=['a', {}, 8]) def test_passes_when_bool(self): jsch.Schema(default=True) def test_passes_when_int(self): jsch.Schema(default=6) def test_passes_when_float(self): jsch.Schema(default=5.9) def test_passes_when_dict(self): jsch.Schema(default={'h': [7], 9: {'g': []}}) def test_passes_when_str(self): jsch.Schema(default='name') def test_fails_when_not_primitive_type(self): message = "'default' must be a primitive type" with self.assertRaisesSchemaValidationError(message): jsch.Schema(default=('a', 'b')) def test_fails_when_list_item_not_primitive_type(self): message = "'default' must be a primitive type" with self.assertRaisesSchemaValidationError(message): jsch.Schema(default=[{'a', 'b'}]) def test_fails_when_dict_key_not_primitive_type(self): message = "'default' must be a primitive type" with self.assertRaisesSchemaValidationError(message): jsch.Schema(default={8j: 'value'}) def test_fails_when_dict_value_not_primitive_type(self): message = "'default' must be a primitive type" with self.assertRaisesSchemaValidationError(message): jsch.Schema(default={'name': b'\xff\xde'}) class TestDefinitionsValidation(SchemaValidationTestCase): def test_passes_when_dict(self): jsch.Schema(definitions={'name': jsch.Schema()}) def test_fails_when_not_dict(self): message = "'definitions' must be a dict" with self.assertRaisesSchemaValidationError(message): jsch.Schema(definitions=True) def test_fails_when_dict_key_not_str(self): message = "'definitions' dict key must be a str" with self.assertRaisesSchemaValidationError(message): jsch.Schema(definitions={7: jsch.Schema()}) def test_fails_when_dict_value_not_schema(self): message = "'definitions' dict value must be a schema" with self.assertRaisesSchemaValidationError(message): jsch.Schema(definitions={'name': '{}'}) class TestDependenciesValidation(SchemaValidationTestCase): def test_passes_when_dict_with_schema_values(self): jsch.Schema(dependencies={'name': jsch.Schema()}) def test_passes_when_dict_with_list_values(self): jsch.Schema(dependencies={'name': ['age', 'height']}) def test_fails_when_not_dict(self): message = "'dependencies' must be a dict" with self.assertRaisesSchemaValidationError(message): jsch.Schema(dependencies=['name']) def test_fails_when_dict_key_not_str(self): message = "'dependencies' dict key must be a str" with self.assertRaisesSchemaValidationError(message): jsch.Schema(dependencies={7: jsch.Schema()}) def test_fails_when_dict_value_not_schema_or_list(self): message = "'dependencies' dict value must be a schema or a list" with self.assertRaisesSchemaValidationError(message): jsch.Schema(dependencies={'name': False}) def test_fails_when_dict_list_value_empty(self): message = "'dependencies' dict value list must not be empty" with self.assertRaisesSchemaValidationError(message): jsch.Schema(dependencies={'name': []}) def test_fails_when_dict_list_value_item_not_str(self): message = "'dependencies' dict value list item must be a str" with self.assertRaisesSchemaValidationError(message): jsch.Schema(dependencies={'name': [7]}) def test_fails_when_dict_list_value_item_str_not_unique(self): message = "'dependencies' dict value list item str must be unique" with self.assertRaisesSchemaValidationError(message): jsch.Schema(dependencies={'name': ['a', 'b', 'a']}) class TestDescriptionValidation(SchemaValidationTestCase): def test_passes_when_str(self): jsch.Schema(description='Height in cm') def test_fails_when_not_str(self): message = "'description' must be a str" with self.assertRaisesSchemaValidationError(message): jsch.Schema(description=90) class TestEnumValidation(SchemaValidationTestCase): def test_passes_when_list(self): jsch.Schema(enum=['name', True, None, 8, {}, ['a']]) def test_fails_when_not_list(self): message = "'enum' must be a list" with self.assertRaisesSchemaValidationError(message): jsch.Schema(enum='[]') def test_fails_when_list_empty(self): message = "'enum' list must not be empty" with self.assertRaisesSchemaValidationError(message): jsch.Schema(enum=[]) def test_fails_when_list_item_not_primitive_type(self): message = "'enum' list item must be a primitive type" with self.assertRaisesSchemaValidationError(message): jsch.Schema(enum=[('a', 'b')]) def test_fails_when_list_item_list_item_not_primitive_type(self): message = "'enum' list item must be a primitive type" with self.assertRaisesSchemaValidationError(message): jsch.Schema(enum=[[{'a', 'b'}]]) def test_fails_when_list_item_dict_key_not_primitive_type(self): message = "'enum' list item must be a primitive type" with self.assertRaisesSchemaValidationError(message): jsch.Schema(enum=[{8j: 'value'}]) def test_fails_when_list_item_dict_value_not_primitive_type(self): message = "'enum' list item must be a primitive type" with self.assertRaisesSchemaValidationError(message): jsch.Schema(enum=[{'name': b'\xff\xde'}]) def test_fails_when_list_item_list_not_unique(self): message = "'enum' list item must be unique" with self.assertRaisesSchemaValidationError(message): jsch.Schema(enum=[['a', 'b'], ['a', 'b'], ['b', 'c']]) def test_fails_when_list_item_bool_not_unique(self): message = "'enum' list item must be unique" with self.assertRaisesSchemaValidationError(message): jsch.Schema(enum=[True, True, False]) def test_fails_when_list_item_int_not_unique(self): message = "'enum' list item must be unique" with self.assertRaisesSchemaValidationError(message): jsch.Schema(enum=[5, 5, 67]) def test_fails_when_list_item_null_not_unique(self): message = "'enum' list item must be unique" with self.assertRaisesSchemaValidationError(message): jsch.Schema(enum=[None, None]) def test_fails_when_list_item_float_not_unique(self): message = "'enum' list item must be unique" with self.assertRaisesSchemaValidationError(message): jsch.Schema(enum=[4.8, 4.8, 1.9]) def test_fails_when_list_item_dict_not_unique(self): message = "'enum' list item must be unique" with self.assertRaisesSchemaValidationError(message): jsch.Schema(enum=[{'a': 'b'}, {'a': 'b'}, {'b': 'c'}]) def test_fails_when_list_item_str_not_unique(self): message = "'enum' list item must be unique" with self.assertRaisesSchemaValidationError(message): jsch.Schema(enum=['name', 'name', 'age']) class TestExclusiveMaximumValidation(SchemaValidationTestCase): def test_passes_when_bool(self): jsch.Schema(maximum=1, exclusive_maximum=True) def test_fails_when_not_bool(self): message = "'exclusive_maximum' must be a bool" with self.assertRaisesSchemaValidationError(message): jsch.Schema(maximum=1, exclusive_maximum='True') class TestExclusiveMinimumValidation(SchemaValidationTestCase): def test_passes_when_bool(self): jsch.Schema(minimum=1, exclusive_minimum=True) def test_fails_when_not_bool(self): message = "'exclusive_minimum' must be a bool" with self.assertRaisesSchemaValidationError(message): jsch.Schema(minimum=1, exclusive_minimum='True') class TestIdValidation(SchemaValidationTestCase): def test_passes_when_str(self): jsch.Schema(id='#def') def test_fails_when_not_str(self): message = "'id' must be a str" with self.assertRaisesSchemaValidationError(message): jsch.Schema(id=90) class TestItemsValidation(SchemaValidationTestCase): def test_passes_when_schema(self): jsch.Schema(items=jsch.Schema()) def test_passes_when_list(self): jsch.Schema(items=[jsch.Schema(), jsch.Schema()]) def test_fails_when_not_schema_or_list(self): message = "'items' must be a schema or a list" with self.assertRaisesSchemaValidationError(message): jsch.Schema(items=9.6) def test_fails_when_list_item_not_schema(self): message = "'items' list must contain only schemas" with self.assertRaisesSchemaValidationError(message): jsch.Schema(items=[jsch.Schema(), '{}']) class TestMaximumValidation(SchemaValidationTestCase): def test_passes_when_int(self): jsch.Schema(maximum=5) def test_passes_when_float(self): jsch.Schema(maximum=7.6) def test_fails_when_not_int_or_float(self): message = "'maximum' must be an int or float" with self.assertRaisesSchemaValidationError(message): jsch.Schema(maximum='5') def test_fails_when_not_present_with_exclusive_maximum_defined(self): message = "'maximum' must be present if 'exclusive_maximum' is defined" with self.assertRaisesSchemaValidationError(message): jsch.Schema(exclusive_maximum=True) class TestMaxItemsValidation(SchemaValidationTestCase): def test_passes_when_int(self): jsch.Schema(max_items=5) def test_fails_when_not_int(self): message = "'max_items' must be an int" with self.assertRaisesSchemaValidationError(message): jsch.Schema(max_items=0.5) def test_fails_when_less_than_zero(self): message = "'max_items' must be greater than or equal to zero" with self.assertRaisesSchemaValidationError(message): jsch.Schema(max_items=-1) class TestMaxLengthValidation(SchemaValidationTestCase): def test_passes_when_int(self): jsch.Schema(max_length=5) def test_fails_when_not_int(self): message = "'max_length' must be an int" with self.assertRaisesSchemaValidationError(message): jsch.Schema(max_length=0.5) def test_fails_when_less_than_zero(self): message = "'max_length' must be greater than or equal to zero" with self.assertRaisesSchemaValidationError(message): jsch.Schema(max_length=-1) class TestMaxPropertiesValidation(SchemaValidationTestCase): def test_passes_when_int(self): jsch.Schema(max_properties=5) def test_fails_when_not_int(self): message = "'max_properties' must be an int" with self.assertRaisesSchemaValidationError(message): jsch.Schema(max_properties=0.5) def test_fails_when_less_than_zero(self): message = "'max_properties' must be greater than or equal to zero" with self.assertRaisesSchemaValidationError(message): jsch.Schema(max_properties=-1) class TestMinimumValidation(SchemaValidationTestCase): def test_passes_when_int(self): jsch.Schema(minimum=5) def test_passes_when_float(self): jsch.Schema(minimum=7.6) def test_fails_when_not_int_or_float(self): message = "'minimum' must be an int or float" with self.assertRaisesSchemaValidationError(message): jsch.Schema(minimum='5') def test_fails_when_not_present_with_exclusive_minimum_defined(self): message = "'minimum' must be present if 'exclusive_minimum' is defined" with self.assertRaisesSchemaValidationError(message): jsch.Schema(exclusive_minimum=True) class TestMinItemsValidation(SchemaValidationTestCase): def test_passes_when_int(self): jsch.Schema(min_items=5) def test_fails_when_not_int(self): message = "'min_items' must be an int" with self.assertRaisesSchemaValidationError(message): jsch.Schema(min_items=0.5) def test_fails_when_less_than_zero(self): message = "'min_items' must be greater than or equal to zero" with self.assertRaisesSchemaValidationError(message): jsch.Schema(min_items=-1) class TestMinLengthValidation(SchemaValidationTestCase): def test_passes_when_int(self): jsch.Schema(min_length=5) def test_fails_when_not_int(self): message = "'min_length' must be an int" with self.assertRaisesSchemaValidationError(message): jsch.Schema(min_length=0.5) def test_fails_when_less_than_zero(self): message = "'min_length' must be greater than or equal to zero" with self.assertRaisesSchemaValidationError(message): jsch.Schema(min_length=-1) class TestMinPropertiesValidation(SchemaValidationTestCase): def test_passes_when_int(self): jsch.Schema(min_properties=5) def test_fails_when_not_int(self): message = "'min_properties' must be an int" with self.assertRaisesSchemaValidationError(message): jsch.Schema(min_properties=0.5) def test_fails_when_less_than_zero(self): message = "'min_properties' must be greater than or equal to zero" with self.assertRaisesSchemaValidationError(message): jsch.Schema(min_properties=-1) class TestMultipleOfValidation(SchemaValidationTestCase): def test_passes_when_int(self): jsch.Schema(multiple_of=5) def test_passes_when_float(self): jsch.Schema(multiple_of=7.6) def test_fails_when_not_int_or_float(self): message = "'multiple_of' must be an int or float" with self.assertRaisesSchemaValidationError(message): jsch.Schema(multiple_of='2.3') def test_fails_when_not_greater_then_zero(self): message = "'multiple_of' must be greater than zero" with self.assertRaisesSchemaValidationError(message): jsch.Schema(multiple_of=0) class TestNotValidation(SchemaValidationTestCase): def test_passes_when_schema(self): jsch.Schema(not_=jsch.Schema()) def test_fails_when_not_schema(self): message = "'not_' must be a schema" with self.assertRaisesSchemaValidationError(message): jsch.Schema(not_='{}') class TestOneOfValidation(SchemaValidationTestCase): def test_passes_when_list(self): jsch.Schema(one_of=[jsch.Schema(), jsch.Schema()]) def test_fails_when_not_list(self): message = "'one_of' must be a list" with self.assertRaisesSchemaValidationError(message): jsch.Schema(one_of='[]') def test_fails_when_list_empty(self): message = "'one_of' list must not be empty" with self.assertRaisesSchemaValidationError(message): jsch.Schema(one_of=[]) def test_fails_when_list_item_not_schema(self): message = "'one_of' list item must be a schema" with self.assertRaisesSchemaValidationError(message): jsch.Schema(one_of=[jsch.Schema(), '{}']) class TestPatternValidation(SchemaValidationTestCase): def test_passes_when_str(self): jsch.Schema(pattern='^name$') def test_fails_when_not_str(self): message = "'pattern' must be a str" with self.assertRaisesSchemaValidationError(message): jsch.Schema(pattern=8) class TestPatternPropertiesValidation(SchemaValidationTestCase): def test_passes_when_dict(self): jsch.Schema(pattern_properties={'^name$': jsch.Schema()}) def test_fails_when_not_dict(self): message = "'pattern_properties' must be a dict" with self.assertRaisesSchemaValidationError(message): jsch.Schema(pattern_properties=[9]) def test_fails_when_dict_key_not_str(self): message = "'pattern_properties' dict key must be a str" with self.assertRaisesSchemaValidationError(message): jsch.Schema(pattern_properties={8: jsch.Schema()}) def test_fails_when_dict_value_not_schema(self): message = "'pattern_properties' dict value must be a schema" with self.assertRaisesSchemaValidationError(message): jsch.Schema(pattern_properties={'name': '{}'}) class TestPropertiesValidation(SchemaValidationTestCase): def test_passes_when_dict(self): jsch.Schema(properties={'name': jsch.Schema()}) def test_fails_when_not_dict(self): message = "'properties' must be a dict" with self.assertRaisesSchemaValidationError(message): jsch.Schema(properties=[9]) def test_fails_when_dict_key_not_str(self): message = "'properties' dict key must be a str" with self.assertRaisesSchemaValidationError(message): jsch.Schema(properties={8: jsch.Schema()}) def test_fails_when_dict_value_not_schema(self): message = "'properties' dict value must be a schema" with self.assertRaisesSchemaValidationError(message): jsch.Schema(properties={'name': '{}'}) class TestRefValidation(SchemaValidationTestCase): def test_passes_when_str(self): jsch.Schema(ref='#/definitions/name') def test_fails_when_not_str(self): message = "'ref' must be a str" with self.assertRaisesSchemaValidationError(message): jsch.Schema(ref=90) class TestRequiredValidation(SchemaValidationTestCase): def test_passes_when_list(self): jsch.Schema(required=['name', 'age']) def test_fails_when_not_list(self): message = "'required' must be a list" with self.assertRaisesSchemaValidationError(message): jsch.Schema(required='[]') def test_fails_when_list_empty(self): message = "'required' list must not be empty" with self.assertRaisesSchemaValidationError(message): jsch.Schema(required=[]) def test_fails_when_list_item_not_str(self): message = "'required' list item must be a str" with self.assertRaisesSchemaValidationError(message): jsch.Schema(required=[8]) def test_fails_when_list_str_item_not_unique(self): message = "'required' list item str must be unique" with self.assertRaisesSchemaValidationError(message): jsch.Schema(required=['a', 'b', 'c', 'a']) class TestSchemaValidation(SchemaValidationTestCase): def test_passes_when_str(self): jsch.Schema().asdict(root=True, schema='http://org/sch#') def test_fails_when_not_str(self): message = "'schema' must be a str" with self.assertRaisesSchemaValidationError(message): jsch.Schema().asdict(root=True, schema=76) class TestTitleValidation(SchemaValidationTestCase): def test_passes_when_str(self): jsch.Schema(title='Height') def test_fails_when_not_str(self): message = "'title' must be a str" with self.assertRaisesSchemaValidationError(message): jsch.Schema(title=90) class TestTypeValidation(SchemaValidationTestCase): def test_passes_when_str(self): jsch.Schema(type='number') def test_passes_when_list(self): jsch.Schema(type=['array', 'object', 'integer', 'null', 'string']) def test_fails_when_not_str_or_list(self): message = "'type' must be a str or a list" with self.assertRaisesSchemaValidationError(message): jsch.Schema(type=45) def test_fails_when_str_not_primitive_type(self): message = "'type' str must be a primitive type" with self.assertRaisesSchemaValidationError(message): jsch.Schema(type='float') def test_fails_when_list_item_not_str(self): message = "'type' list item must be a str" with self.assertRaisesSchemaValidationError(message): jsch.Schema(type=['string', 7]) def test_fails_when_list_item_str_not_primitive_type(self): message = "'type' list item str must be a primitive type" with self.assertRaisesSchemaValidationError(message): jsch.Schema(type=['string', 'float']) def test_fails_when_list_item_str_not_unique(self): message = "'type' list item str must be unique" with self.assertRaisesSchemaValidationError(message): jsch.Schema(type=['string', 'null', 'null']) class TestUniqueItemsValidation(SchemaValidationTestCase): def test_passes_when_bool(self): jsch.Schema(unique_items=False) def test_fails_when_not_bool(self): message = "'unique_items' must be a bool" with self.assertRaisesSchemaValidationError(message): jsch.Schema(unique_items='True') if __name__ == '__main__': unittest.main()

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681e11237047f4322573e8b2999928b99fca4f59

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py

Python

Processing/plotter.py

dr1315/AHINN

2ad6a466ce5c796a38ebc516ad108755f42f90e0

[ "MIT" ]

null

Processing/plotter.py

dr1315/AHINN

2ad6a466ce5c796a38ebc516ad108755f42f90e0

[ "MIT" ]

null

Processing/plotter.py

dr1315/AHINN

2ad6a466ce5c796a38ebc516ad108755f42f90e0

[ "MIT" ]

null

""" Contains the code to plot the outputs of the neural networks and RGB images of a scene. """ import sys import os import click import matplotlib.pyplot as plt from mpl_toolkits.axes_grid1 import make_axes_locatable import cartopy.crs as ccrs import cartopy.feature as feature import numpy as np from datetime import datetime as dt import netCDF4 as nc from matplotlib.colors import LinearSegmentedColormap main_dir = os.sep.join(os.path.dirname(os.path.abspath(__file__)).split(os.sep)[:-1]) sys.path.append(main_dir) from Processing.preprocessor import read_h8_folder, downsample_array plt.rcParams.update({'font.size': 22}) def plot_nn_output(dataset, variable_name, dataset_datetime, apply_mask=False, mask_area='Australia'): """ Takes a neural network output as a 2d array and plots the values in a standard format map over the AHI observable area or over Australia. :param dataset: :param variable_name: :param dataset_datetime: :param apply_mask: :return: """ if 'binary' in variable_name: colors = [ (0., 0., 0.8), (0.8, 0., 0.) ] cmap = LinearSegmentedColormap.from_list('nn_rgb', colors, N=2) else: cmap = plt.get_cmap('bwr') cmap.set_bad(color='k', alpha=1.) # if variable_name == 'cloud_binary_mask': # v_data = np.array(dataset['cloud_continuous_mask']) # v_data[v_data == dataset[variable_name]._FillValue] = np.nan # mask = v_data > 0.8 # v_data[mask] = 1. # v_data[~mask] = 0. # else: # v_data = np.array(dataset[variable_name]) # v_data[v_data == dataset[variable_name]._FillValue] = np.nan v_data = np.array(dataset[variable_name]) v_data[v_data == dataset[variable_name]._FillValue] = np.nan if 'cloud' in variable_name and 'mask' not in variable_name: cloud_mask = np.array(dataset['cloud_binary_mask']) == 1 v_data[~cloud_mask] = np.nan if 'aerosol' in variable_name: cloud_mask = np.array(dataset['cloud_binary_mask']) == 1 if 'mask' in variable_name: v_data[cloud_mask] = np.nan else: aerosol_mask = np.array(dataset['aerosol_binary_mask']) == 1 v_data[cloud_mask & ~aerosol_mask] = np.nan if apply_mask: if mask_area == 'Australia': fsize = (15, 10) xmin, xmax = 2900 * 1000 - 5500000, 8250 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 6500 * 1000 mask = np.full(v_data.shape, False) min_y, max_y = int(6500 / 11000 * v_data.shape[0]), int(9750 / 11000 * v_data.shape[0]) min_x, max_x = int(2900 / 11000 * v_data.shape[0]), int(8250 / 11000 * v_data.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) v_data = v_data[mask].reshape(new_shape) elif mask_area == 'Cape York': fsize = (10, 10) xmin, xmax = 5000 * 1000 - 5500000, 6000 * 1000 - 5500000 ymin, ymax = 5500000 - 7500 * 1000, 5500000 - 6500 * 1000 mask = np.full(v_data.shape, False) min_y, max_y = int(6500 / 11000 * v_data.shape[0]), int(7500 / 11000 * v_data.shape[0]) min_x, max_x = int(5000 / 11000 * v_data.shape[0]), int(6000 / 11000 * v_data.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) v_data = v_data[mask].reshape(new_shape) elif mask_area == 'SE Coast of Australia': fsize = (10, 10) xmin, xmax = 5750 * 1000 - 5500000, 6750 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 8750 * 1000 mask = np.full(v_data.shape, False) min_y, max_y = int(8750 / 11000 * v_data.shape[0]), int(9750 / 11000 * v_data.shape[0]) min_x, max_x = int(5750 / 11000 * v_data.shape[0]), int(6750 / 11000 * v_data.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) v_data = v_data[mask].reshape(new_shape) elif mask_area == 'East Coast of Australia': fsize = (10, 10) xmin, xmax = 6500 * 1000 - 5500000, 7500 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 mask = np.full(v_data.shape, False) min_y, max_y = int(7750 / 11000 * v_data.shape[0]), int(8750 / 11000 * v_data.shape[0]) min_x, max_x = int(6500 / 11000 * v_data.shape[0]), int(7500 / 11000 * v_data.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) v_data = v_data[mask].reshape(new_shape) elif mask_area == 'Central Australia': fsize = (10, 10) xmin, xmax = 4750 * 1000 - 5500000, 5750 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 mask = np.full(v_data.shape, False) min_y, max_y = int(7750 / 11000 * v_data.shape[0]), int(8750 / 11000 * v_data.shape[0]) min_x, max_x = int(4750 / 11000 * v_data.shape[0]), int(5750 / 11000 * v_data.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) v_data = v_data[mask].reshape(new_shape) elif mask_area == 'China': fsize = (10, 10) xmin, xmax = 750, 4750 ymin, ymax = 4000, 0 mask = np.full(v_data.shape, False) min_y, max_y = int(ymax / 11000 * v_data.shape[0]), int(ymin / 11000 * v_data.shape[0]) min_x, max_x = int(xmin / 11000 * v_data.shape[0]), int(xmax / 11000 * v_data.shape[0]) xmin, xmax = xmin * 1000 - 5500000, xmax * 1000 - 5500000 ymin, ymax = 5500000 - ymin * 1000, 5500000 - ymax * 1000 mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) v_data = v_data[mask].reshape(new_shape) else: fsize = (15, 15) xmin, xmax = -5500000, 5500000 ymin, ymax = -5500000, 5500000 fig = plt.figure(figsize=fsize) ax = fig.add_subplot(1, 1, 1, projection=ccrs.Geostationary(140.735785863)) ax.add_feature(feature.COASTLINE, edgecolor='black') im = ax.imshow( v_data, origin='upper', transform=ccrs.Geostationary(140.735785863), extent=(xmin, xmax, ymin, ymax), cmap=cmap, vmin=dataset[variable_name].valid_min, vmax=dataset[variable_name].valid_max if dataset[variable_name].valid_max < 31 else 10 ) gl = ax.gridlines( draw_labels=True, color='black', linestyle='--', alpha=0.7 ) gl.top_labels = False gl.right_labels = False gl.xlabel_style = {'rotation': 0} gl.ylabel_style = {'rotation': 0} ax.set_title( 'NN ' + ' '.join([ a[0].upper() + a[1:] if len(a) > 2 else a.upper() if len(a) == 1 else a for a in variable_name.split('_') ]), fontweight='bold', loc='left', fontsize=22 ) string_time = dataset_datetime.strftime('%d %B %Y %H:%M UTC') ax.set_title( string_time, loc='right', fontsize=22 ) ax.text( 0.5, -0.05, ' ', size=12, ha='center', transform=ax.transAxes ) divider = make_axes_locatable(ax) cbaxes = divider.append_axes("right", size="5%", pad=0.05, axes_class=plt.Axes) vlabel = ' '.join([ a[0].upper() + a[1:] if len(a) > 2 else a.upper() if len(a) == 1 else a for a in variable_name.split('_') ]) if dataset[variable_name].units != 'None': cbar_label = r'%s [%s]' % (vlabel, dataset[variable_name].units) else: cbar_label = None cbar = plt.colorbar( im, cax=cbaxes, orientation='vertical', label=cbar_label ) if 'binary' in variable_name and 'cloud' in variable_name: cbar.set_ticks([0.25, 0.75]) cbar.set_ticklabels([ '\nNon-Cloud', '\nCloud' ], rotation=90, va='center', ha='center' ) return fig def plot_full_analysis(path_to_dataset, save_dir, aus_only=False): """ Takes a .nc file of NN outputs from the full analysis of an AHI scene and plots them in standard format. Can be applied only over Australia. :param path_to_dataset: :param save_dir: :param aus_only: :return: """ fname_stringtime = os.path.basename(path_to_dataset) fname_stringtime = '_'.join(fname_stringtime.split('_')[-3:-1]) dst = nc.Dataset(path_to_dataset) plottables = [ vname for vname in dst.variables.keys() if vname not in ['longitudes', 'latitudes'] ] for plottable in plottables: print(plottable) fig_name = '_'.join([plottable, fname_stringtime]) if aus_only: for region in ['Australia','Cape York','SE Coast of Australia','East Coast of Australia','Central Australia', 'China']: fig = plot_nn_output( dataset=dst, variable_name=plottable, dataset_datetime=dt.strptime(fname_stringtime, '%Y%m%d_%H%M'), apply_mask=aus_only, mask_area=region ) region_fig_name = '_'.join([fig_name, f'{"-".join(region.split(" "))}_only']) region_fig_name = region_fig_name + '.png' plt.savefig( os.path.join(save_dir, region_fig_name), format='png', bbox_inches='tight', dpi=300 ) plt.clf() else: fig = plot_nn_output( dataset=dst, variable_name=plottable, dataset_datetime=dt.strptime(fname_stringtime, '%Y%m%d_%H%M'), apply_mask=aus_only ) fig_name = fig_name + '.png' plt.savefig( os.path.join(save_dir, fig_name), format='png', bbox_inches='tight', dpi=300 ) return None def plot_single_channel(ahi_scn, band_number=3, apply_mask=False, mask_area='Australia'): """ Plots a single channel's data :param ahi_scn: :param band_number: :param apply_mask: :return: """ band_wavelengths = [ '0.455', '0.510', '0.645', '0.860', '1.61', '2.26', '3.85', '6.25', '6.95', '7.35', '8.60', '9.63', '10.45', '11.2', '12.35', '13.3' ] band_indicator = f"B{int(band_number):02d}" band_values = np.array(ahi_scn[band_indicator]) if apply_mask: if mask_area == 'Australia': fsize = (15, 10) xmin, xmax = 2900 * 1000 - 5500000, 8250 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 6500 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(6500 / 11000 * band_values.shape[0]), int(9750 / 11000 * band_values.shape[0]) min_x, max_x = int(2900 / 11000 * band_values.shape[0]), int(8250 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) band_values = band_values[mask].reshape(new_shape) elif mask_area == 'Cape York': fsize = (10, 10) xmin, xmax = 5000 * 1000 - 5500000, 6000 * 1000 - 5500000 ymin, ymax = 5500000 - 7500 * 1000, 5500000 - 6500 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(6500 / 11000 * band_values.shape[0]), int(7500 / 11000 * band_values.shape[0]) min_x, max_x = int(5000 / 11000 * band_values.shape[0]), int(6000 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) band_values = band_values[mask].reshape(new_shape) elif mask_area == 'SE Coast of Australia': fsize = (10, 10) xmin, xmax = 5750 * 1000 - 5500000, 6750 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 8750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(8750 / 11000 * band_values.shape[0]), int(9750 / 11000 * band_values.shape[0]) min_x, max_x = int(5750 / 11000 * band_values.shape[0]), int(6750 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) band_values = band_values[mask].reshape(new_shape) elif mask_area == 'East Coast of Australia': fsize = (10, 10) xmin, xmax = 6500 * 1000 - 5500000, 7500 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(7750 / 11000 * band_values.shape[0]), int(8750 / 11000 * band_values.shape[0]) min_x, max_x = int(6500 / 11000 * band_values.shape[0]), int(7500 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) band_values = band_values[mask].reshape(new_shape) elif mask_area == 'Central Australia': fsize = (10, 10) xmin, xmax = 4750 * 1000 - 5500000, 5750 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(7750 / 11000 * band_values.shape[0]), int(8750 / 11000 * band_values.shape[0]) min_x, max_x = int(4750 / 11000 * band_values.shape[0]), int(5750 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) band_values = band_values[mask].reshape(new_shape) elif mask_area == 'China': fsize = (10, 10) xmin, xmax = 750, 4750 ymin, ymax = 4000, 0 mask = np.full(band_values.shape, False) min_y, max_y = int(ymax / 11000 * band_values.shape[0]), int(ymin / 11000 * band_values.shape[0]) min_x, max_x = int(xmin / 11000 * band_values.shape[0]), int(xmax / 11000 * band_values.shape[0]) xmin, xmax = xmin * 1000 - 5500000, xmax * 1000 - 5500000 ymin, ymax = 5500000 - ymin * 1000, 5500000 - ymax * 1000 mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) if band_values.shape != new_shape: band_values = band_values.reshape(new_shape) else: fsize = (15, 15) xmin, xmax = -5500000, 5500000 ymin, ymax = -5500000, 5500000 fig = plt.figure(figsize=fsize) ax = fig.add_subplot(1, 1, 1, projection=ccrs.Geostationary(140.735785863)) ax.add_feature(feature.COASTLINE, edgecolor='yellow') low_perc = np.nanpercentile(band_values.flatten(), 5) high_perc = np.nanpercentile(band_values.flatten(), 95) im = ax.imshow( band_values, origin='upper', transform=ccrs.Geostationary(140.735785863), extent=(xmin, xmax, ymin, ymax), cmap='magma', vmin=low_perc, vmax=high_perc ) ax.set_title( f'Band {str(int(band_number))}', fontweight='bold', loc='left', fontsize=22 ) string_time = ahi_scn.start_time.strftime('%d %B %Y %H:%M UTC') ax.set_title( string_time, loc='right', fontsize=22 ) ax.text( 0.5, -0.05, 'Band Central Wavelength: ' + str(band_wavelengths[int(int(band_number) - 1)]) + r'$\mu m$', size=12, ha='center', transform=ax.transAxes ) divider = make_axes_locatable(ax) cbaxes = divider.append_axes("right", size="5%", pad=0.05, axes_class=plt.Axes) plt.colorbar( im, cax=cbaxes, extend='both', orientation='vertical', label=r'%s [%s]' % ('Reflectance' if int(band_number) < 7 else 'BT', '%' if int(band_number) < 7 else 'K') ) return fig def plot_channel_difference(ahi_scn, primary_band_number=14, secondary_band_number=15, apply_mask=False, mask_area='Australia'): """ Plots the difference between 2 channels: primary_band - secondary_band :param ahi_scn: :param primary_band_number: :param secondary_band_number: :param apply_mask: :return: """ band_wavelengths = [ '0.455', '0.510', '0.645', '0.860', '1.61', '2.26', '3.85', '6.25', '6.95', '7.35', '8.60', '9.63', '10.45', '11.2', '12.35', '13.3' ] primary_band_indicator = f"B{int(primary_band_number):02d}" primary_band = np.array(ahi_scn[primary_band_indicator]) secondary_band_indicator = f"B{int(secondary_band_number):02d}" secondary_band = np.array(ahi_scn[secondary_band_indicator]) if primary_band.shape != secondary_band.shape: primary_to_secondary = primary_band.shape[0] / secondary_band.shape[0] if primary_to_secondary < 1.: secondary_band = downsample_array(secondary_band, int(1/primary_to_secondary))[0] else: primary_band = downsample_array(primary_band, int(primary_to_secondary))[0] band_values = primary_band - secondary_band if apply_mask: if mask_area == 'Australia': fsize = (15, 10) xmin, xmax = 2900 * 1000 - 5500000, 8250 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 6500 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(6500 / 11000 * band_values.shape[0]), int(9750 / 11000 * band_values.shape[0]) min_x, max_x = int(2900 / 11000 * band_values.shape[0]), int(8250 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) band_values = band_values[mask].reshape(new_shape) elif mask_area == 'Cape York': fsize = (10, 10) xmin, xmax = 5000 * 1000 - 5500000, 6000 * 1000 - 5500000 ymin, ymax = 5500000 - 7500 * 1000, 5500000 - 6500 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(6500 / 11000 * band_values.shape[0]), int(7500 / 11000 * band_values.shape[0]) min_x, max_x = int(5000 / 11000 * band_values.shape[0]), int(6000 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) band_values = band_values[mask].reshape(new_shape) elif mask_area == 'SE Coast of Australia': fsize = (10, 10) xmin, xmax = 5750 * 1000 - 5500000, 6750 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 8750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(8750 / 11000 * band_values.shape[0]), int(9750 / 11000 * band_values.shape[0]) min_x, max_x = int(5750 / 11000 * band_values.shape[0]), int(6750 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) band_values = band_values[mask].reshape(new_shape) elif mask_area == 'East Coast of Australia': fsize = (10, 10) xmin, xmax = 6500 * 1000 - 5500000, 7500 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(7750 / 11000 * band_values.shape[0]), int(8750 / 11000 * band_values.shape[0]) min_x, max_x = int(6500 / 11000 * band_values.shape[0]), int(7500 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) band_values = band_values[mask].reshape(new_shape) elif mask_area == 'Central Australia': fsize = (10, 10) xmin, xmax = 4750 * 1000 - 5500000, 5750 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(7750 / 11000 * band_values.shape[0]), int(8750 / 11000 * band_values.shape[0]) min_x, max_x = int(4750 / 11000 * band_values.shape[0]), int(5750 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) band_values = band_values[mask].reshape(new_shape) elif mask_area == 'China': fsize = (10, 10) xmin, xmax = 750, 4750 ymin, ymax = 4000, 0 mask = np.full(band_values.shape, False) min_y, max_y = int(ymax / 11000 * band_values.shape[0]), int(ymin / 11000 * band_values.shape[0]) min_x, max_x = int(xmin / 11000 * band_values.shape[0]), int(xmax / 11000 * band_values.shape[0]) xmin, xmax = xmin * 1000 - 5500000, xmax * 1000 - 5500000 ymin, ymax = 5500000 - ymin * 1000, 5500000 - ymax * 1000 mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) if band_values.shape != new_shape: band_values = band_values.reshape(new_shape) else: fsize = (15, 15) xmin, xmax = -5500000, 5500000 ymin, ymax = -5500000, 5500000 fig = plt.figure(figsize=fsize) ax = fig.add_subplot(1, 1, 1, projection=ccrs.Geostationary(140.735785863)) ax.add_feature(feature.COASTLINE, edgecolor='yellow') mod_max = max([abs(np.nanmin(band_values)), abs(np.nanmax(band_values))]) im = ax.imshow( band_values, origin='upper', transform=ccrs.Geostationary(140.735785863), extent=(xmin, xmax, ymin, ymax), cmap='bwr', vmin=-mod_max, vmax=mod_max ) ax.set_title( f'Band Difference: {str(int(primary_band_number))} - {str(int(secondary_band_number))}', fontweight='bold', loc='left', fontsize=22 ) string_time = ahi_scn.start_time.strftime('%d %B %Y %H:%M UTC') ax.set_title( string_time, loc='right', fontsize=22 ) ax.text( 0.5, -0.05, 'Band Central Wavelengths: ' + \ str(band_wavelengths[int(int(primary_band_number) - 1)]) + r'$\mu m$' + \ ' - ' + str(band_wavelengths[int(int(secondary_band_number) - 1)]) + r'$\mu m$', size=12, ha='center', transform=ax.transAxes ) divider = make_axes_locatable(ax) cbaxes = divider.append_axes("right", size="5%", pad=0.05, axes_class=plt.Axes) plt.colorbar( im, cax=cbaxes, orientation='vertical', label=r'%s [%s]' % ('Difference in Reflectance' if int(primary_band_number) < 7 else 'Difference in BT', '%' if int(primary_band_number) < 7 else 'K') ) return fig def true_colour_rgb(ahi_scn, apply_mask=False, mask_area='Australia'): gamma = 2. bands = { 'r': downsample_array(np.array(ahi_scn['B03']), 4)[0], 'g': downsample_array(np.array(ahi_scn['B02']), 2)[0], 'b': downsample_array(np.array(ahi_scn['B01']), 2)[0], } if apply_mask: band_values = bands['r'] if mask_area == 'Australia': fsize = (15, 10) xmin, xmax = 2900 * 1000 - 5500000, 8250 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 6500 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(6500 / 11000 * band_values.shape[0]), int(9750 / 11000 * band_values.shape[0]) min_x, max_x = int(2900 / 11000 * band_values.shape[0]), int(8250 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'Cape York': fsize = (10, 10) xmin, xmax = 5000 * 1000 - 5500000, 6000 * 1000 - 5500000 ymin, ymax = 5500000 - 7500 * 1000, 5500000 - 6500 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(6500 / 11000 * band_values.shape[0]), int(7500 / 11000 * band_values.shape[0]) min_x, max_x = int(5000 / 11000 * band_values.shape[0]), int(6000 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'SE Coast of Australia': fsize = (10, 10) xmin, xmax = 5750 * 1000 - 5500000, 6750 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 8750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(8750 / 11000 * band_values.shape[0]), int(9750 / 11000 * band_values.shape[0]) min_x, max_x = int(5750 / 11000 * band_values.shape[0]), int(6750 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'East Coast of Australia': fsize = (10, 10) xmin, xmax = 6500 * 1000 - 5500000, 7500 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(7750 / 11000 * band_values.shape[0]), int(8750 / 11000 * band_values.shape[0]) min_x, max_x = int(6500 / 11000 * band_values.shape[0]), int(7500 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'Central Australia': fsize = (10, 10) xmin, xmax = 4750 * 1000 - 5500000, 5750 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(7750 / 11000 * band_values.shape[0]), int(8750 / 11000 * band_values.shape[0]) min_x, max_x = int(4750 / 11000 * band_values.shape[0]), int(5750 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'China': fsize = (10, 10) xmin, xmax = 750, 4750 ymin, ymax = 4000, 0 mask = np.full(band_values.shape, False) min_y, max_y = int(ymax / 11000 * band_values.shape[0]), int(ymin / 11000 * band_values.shape[0]) min_x, max_x = int(xmin / 11000 * band_values.shape[0]), int(xmax / 11000 * band_values.shape[0]) xmin, xmax = xmin * 1000 - 5500000, xmax * 1000 - 5500000 ymin, ymax = 5500000 - ymin * 1000, 5500000 - ymax * 1000 mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) for band, band_values in bands.items(): bands[band] = band_values[mask].reshape(new_shape) for band, band_values in bands.items(): band_values[band_values > 100.] = 100. band_values[band_values < 0.] = 0. band_values = band_values / 100. band_values = band_values ** (1 / gamma) bands[band] = band_values rgb_array = np.dstack(( bands['r'], bands['g'], bands['b'] )) return rgb_array def natural_colour_rgb(ahi_scn, apply_mask=False, mask_area='Australia'): gamma = 2. bands = { 'r': np.array(ahi_scn['B05']), 'g': downsample_array(np.array(ahi_scn['B04']), 2)[0], 'b': downsample_array(np.array(ahi_scn['B03']), 4)[0], } if apply_mask: band_values = bands['r'] if mask_area == 'Australia': fsize = (15, 10) xmin, xmax = 2900 * 1000 - 5500000, 8250 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 6500 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(6500 / 11000 * band_values.shape[0]), int(9750 / 11000 * band_values.shape[0]) min_x, max_x = int(2900 / 11000 * band_values.shape[0]), int(8250 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'Cape York': fsize = (10, 10) xmin, xmax = 5000 * 1000 - 5500000, 6000 * 1000 - 5500000 ymin, ymax = 5500000 - 7500 * 1000, 5500000 - 6500 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(6500 / 11000 * band_values.shape[0]), int(7500 / 11000 * band_values.shape[0]) min_x, max_x = int(5000 / 11000 * band_values.shape[0]), int(6000 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'SE Coast of Australia': fsize = (10, 10) xmin, xmax = 5750 * 1000 - 5500000, 6750 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 8750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(8750 / 11000 * band_values.shape[0]), int(9750 / 11000 * band_values.shape[0]) min_x, max_x = int(5750 / 11000 * band_values.shape[0]), int(6750 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'East Coast of Australia': fsize = (10, 10) xmin, xmax = 6500 * 1000 - 5500000, 7500 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(7750 / 11000 * band_values.shape[0]), int(8750 / 11000 * band_values.shape[0]) min_x, max_x = int(6500 / 11000 * band_values.shape[0]), int(7500 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'Central Australia': fsize = (10, 10) xmin, xmax = 4750 * 1000 - 5500000, 5750 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(7750 / 11000 * band_values.shape[0]), int(8750 / 11000 * band_values.shape[0]) min_x, max_x = int(4750 / 11000 * band_values.shape[0]), int(5750 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'China': fsize = (10, 10) xmin, xmax = 750, 4750 ymin, ymax = 4000, 0 mask = np.full(band_values.shape, False) min_y, max_y = int(ymax / 11000 * band_values.shape[0]), int(ymin / 11000 * band_values.shape[0]) min_x, max_x = int(xmin / 11000 * band_values.shape[0]), int(xmax / 11000 * band_values.shape[0]) xmin, xmax = xmin * 1000 - 5500000, xmax * 1000 - 5500000 ymin, ymax = 5500000 - ymin * 1000, 5500000 - ymax * 1000 mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) for band, band_values in bands.items(): bands[band] = band_values[mask].reshape(new_shape) for band, band_values in bands.items(): band_values[band_values > 100.] = 100. band_values[band_values < 0.] = 0. band_values = band_values / 100. band_values = band_values ** (1 / gamma) bands[band] = band_values rgb_array = np.dstack(( bands['r'], bands['g'], bands['b'] )) return rgb_array def eumetsat_dust_rgb(ahi_scn, apply_mask=False, mask_area='Australia'): bands = { 'r': np.array(ahi_scn['B15']), 'g': np.array(ahi_scn['B13']), 'b': np.array(ahi_scn['B11']) } if apply_mask: band_values = bands['r'] if mask_area == 'Australia': fsize = (15, 10) xmin, xmax = 2900 * 1000 - 5500000, 8250 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 6500 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(6500 / 11000 * band_values.shape[0]), int(9750 / 11000 * band_values.shape[0]) min_x, max_x = int(2900 / 11000 * band_values.shape[0]), int(8250 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'Cape York': fsize = (10, 10) xmin, xmax = 5000 * 1000 - 5500000, 6000 * 1000 - 5500000 ymin, ymax = 5500000 - 7500 * 1000, 5500000 - 6500 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(6500 / 11000 * band_values.shape[0]), int(7500 / 11000 * band_values.shape[0]) min_x, max_x = int(5000 / 11000 * band_values.shape[0]), int(6000 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'SE Coast of Australia': fsize = (10, 10) xmin, xmax = 5750 * 1000 - 5500000, 6750 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 8750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(8750 / 11000 * band_values.shape[0]), int(9750 / 11000 * band_values.shape[0]) min_x, max_x = int(5750 / 11000 * band_values.shape[0]), int(6750 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'East Coast of Australia': fsize = (10, 10) xmin, xmax = 6500 * 1000 - 5500000, 7500 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(7750 / 11000 * band_values.shape[0]), int(8750 / 11000 * band_values.shape[0]) min_x, max_x = int(6500 / 11000 * band_values.shape[0]), int(7500 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'Central Australia': fsize = (10, 10) xmin, xmax = 4750 * 1000 - 5500000, 5750 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 mask = np.full(band_values.shape, False) min_y, max_y = int(7750 / 11000 * band_values.shape[0]), int(8750 / 11000 * band_values.shape[0]) min_x, max_x = int(4750 / 11000 * band_values.shape[0]), int(5750 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) elif mask_area == 'China': fsize = (10, 10) xmin, xmax = 750, 4750 ymin, ymax = 4000, 0 mask = np.full(band_values.shape, False) min_y, max_y = int(ymax / 11000 * band_values.shape[0]), int(ymin / 11000 * band_values.shape[0]) min_x, max_x = int(xmin / 11000 * band_values.shape[0]), int(xmax / 11000 * band_values.shape[0]) xmin, xmax = xmin * 1000 - 5500000, xmax * 1000 - 5500000 ymin, ymax = 5500000 - ymin * 1000, 5500000 - ymax * 1000 mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) for band, band_values in bands.items(): bands[band] = band_values[mask].reshape(new_shape) # Make r = limited B15 - B13 # pseudo_r = bands['r'] - bands['g'] pseudo_r[pseudo_r > 2.] = 2. pseudo_r[pseudo_r < -4.] = -4. pseudo_r = (pseudo_r + 4.) / 6. # Make g = limited B13 - B11 # pseudo_g = bands['g'] - bands['b'] pseudo_g[pseudo_g > 15.] = 15. pseudo_g[pseudo_g < 0.] = 0. pseudo_g = pseudo_g / 15. pseudo_g = pseudo_g ** (1 / 2.5) # Make b = limited B11 ### pseudo_b = bands['b'] pseudo_b[pseudo_b > 289.] = 289. pseudo_b[pseudo_b < 261.] = 261. pseudo_b = (pseudo_b - 261.) / (289. - 261.) # Correct rgb arrays in dict # bands['r'] = pseudo_r bands['g'] = pseudo_g bands['b'] = pseudo_b rgb_array = np.dstack(( bands['r'], bands['g'], bands['b'] )) return rgb_array def plot_rgb(ahi_scn, rgb_name='true_colour', apply_mask=False, mask_area='Australia'): available_rgbs = { # 'RGB Name': ['Red', 'Green', 'Blue'] 'true_colour': [ 'R: ' + r'$0.64 \mu m$', 'G: ' + r'$0.51 \mu m$', 'B: ' + r'$0.47 \mu m$' ], 'EUMetSat_dust': [ 'R: ' + r'$12.4 \mu m$' + ' - ' + r'$10.4 \mu m$', 'G: ' + r'$10.4 \mu m$' + ' - ' + r'$8.6 \mu m$', 'B: ' + r'$10.4 \mu m$' ], 'natural_colour': [ 'R: ' + r'$1.6 \mu m$', 'G: ' + r'$0.86 \mu m$', 'B: ' + r'$0.64 \mu m$' ] } rgb_array = None if rgb_name not in available_rgbs.keys(): raise Exception( f'Given rgb_name {rgb_name} is not available. \n' + f'Available RGBs are: \n' + '\n'.join([ '\t' + key + ': ' + str(item) for key, item in available_rgbs.items() ]) ) elif rgb_name == 'true_colour': rgb_array = true_colour_rgb( ahi_scn=ahi_scn, apply_mask=apply_mask, mask_area=mask_area ) elif rgb_name == 'EUMetSat_dust': rgb_array = eumetsat_dust_rgb( ahi_scn=ahi_scn, apply_mask=apply_mask, mask_area=mask_area ) elif rgb_name == 'natural_colour': rgb_array = natural_colour_rgb( ahi_scn=ahi_scn, apply_mask=apply_mask, mask_area=mask_area ) if apply_mask: if mask_area == 'Australia': fsize = (15, 10) xmin, xmax = 2900 * 1000 - 5500000, 8250 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 6500 * 1000 elif mask_area == 'Cape York': fsize = (10, 10) xmin, xmax = 5000 * 1000 - 5500000, 6000 * 1000 - 5500000 ymin, ymax = 5500000 - 7500 * 1000, 5500000 - 6500 * 1000 elif mask_area == 'SE Coast of Australia': fsize = (10, 10) xmin, xmax = 5750 * 1000 - 5500000, 6750 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 8750 * 1000 elif mask_area == 'East Coast of Australia': fsize = (10, 10) xmin, xmax = 6500 * 1000 - 5500000, 7500 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 elif mask_area == 'Central Australia': fsize = (10, 10) xmin, xmax = 4750 * 1000 - 5500000, 5750 * 1000 - 5500000 ymin, ymax = 5500000 - 8750 * 1000, 5500000 - 7750 * 1000 elif mask_area == 'China': fsize = (10, 10) xmin, xmax = 750 * 1000 - 5500000, 4750 * 1000 - 5500000 ymin, ymax = 5500000 - 4000 * 1000, 5500000 - 0 * 1000 else: fsize = (15, 15) xmin, xmax = -5500000, 5500000 ymin, ymax = -5500000, 5500000 fig = plt.figure(figsize=fsize) ax = fig.add_subplot(1, 1, 1, projection=ccrs.Geostationary(140.735785863)) ax.add_feature(feature.COASTLINE, edgecolor='black') im = ax.imshow( rgb_array, origin='upper', transform=ccrs.Geostationary(140.735785863), extent=(xmin, xmax, ymin, ymax) ) gl = ax.gridlines( draw_labels=True, color='black', linestyle='--', alpha=0.7 ) gl.top_labels = False gl.right_labels = False gl.xlabel_style = {'rotation': 0} gl.ylabel_style = {'rotation': 0} ax.set_title( ' '.join([ a[0].upper() + a[1:] if len(a) > 2 else a.upper() if len(a) == 1 else a for a in rgb_name.split('_') ]) + ' RGB', fontweight='bold', loc='left', fontsize=22 ) string_time = ahi_scn.start_time.strftime('%d %B %Y %H:%M UTC') ax.set_title( string_time, loc='right', fontsize=22 ) ax.text( 0.5, -0.05, ' | '.join(available_rgbs[rgb_name]), fontsize=22, ha='center', transform=ax.transAxes ) divider = make_axes_locatable(ax) cbaxes = divider.append_axes("right", size="5%", pad=0.05, axes_class=plt.Axes) cbaxes.axis('off') return fig def plot_smoke_analysis(ahi_scn, dataset): """ Plots a 6 panel figure loking at the SE coast of Australia. """ fig, axs = plt.subplots( 2, 3, subplot_kw={'projection': ccrs.Geostationary(140.735785863)}, figsize=(16,9) ) string_time = ahi_scn.start_time.strftime('%d %B %Y %H:%M UTC') fig.suptitle(string_time) mask_area = 'SE Coast of Australia' xmin, xmax = 5750 * 1000 - 5500000, 6750 * 1000 - 5500000 ymin, ymax = 5500000 - 9750 * 1000, 5500000 - 8750 * 1000 # Top left panel variable_name = 'cloud_continuous_mask' cmap = plt.get_cmap('bwr') cmap.set_bad(color='k', alpha=1.) v_data = np.array(dataset[variable_name]) v_data[v_data == dataset[variable_name]._FillValue] = np.nan mask = np.full(v_data.shape, False) min_y, max_y = int(8750 / 11000 * v_data.shape[0]), int(9750 / 11000 * v_data.shape[0]) min_x, max_x = int(5750 / 11000 * v_data.shape[0]), int(6750 / 11000 * v_data.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) v_data = v_data[mask].reshape(new_shape) im1 = axs[0,0].imshow( v_data, origin='upper', transform=ccrs.Geostationary(140.735785863), extent=(xmin, xmax, ymin, ymax), cmap=cmap, vmin=dataset[variable_name].valid_min, vmax=dataset[variable_name].valid_max ) axs[0,0].coastlines() divider = make_axes_locatable(axs[0,0]) cbaxes = divider.append_axes("right", size="5%", pad=0.05, axes_class=plt.Axes) vlabel = ' '.join([ a[0].upper() + a[1:] if len(a) > 2 else a.upper() if len(a) == 1 else a for a in variable_name.split('_') ]) cbar1 = plt.colorbar( im1, cax=cbaxes, orientation='vertical', label=r'%s [%s]' % (vlabel, dataset[variable_name].units) ) # Top centre panel variable_name = 'cloud_binary_mask' colors = [ (0., 0., 1.), (1., 0., 0.) ] cmap = LinearSegmentedColormap.from_list('nn_rgb', colors, N=2) cmap.set_bad(color='k', alpha=1.) v_data = np.array(dataset[variable_name]) v_data[v_data == dataset[variable_name]._FillValue] = np.nan mask = np.full(v_data.shape, False) min_y, max_y = int(8750 / 11000 * v_data.shape[0]), int(9750 / 11000 * v_data.shape[0]) min_x, max_x = int(5750 / 11000 * v_data.shape[0]), int(6750 / 11000 * v_data.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) v_data = v_data[mask].reshape(new_shape) im2 = axs[0,1].imshow( v_data, origin='upper', transform=ccrs.Geostationary(140.735785863), extent=(xmin, xmax, ymin, ymax), cmap=cmap, vmin=dataset[variable_name].valid_min, vmax=dataset[variable_name].valid_max ) axs[0,1].coastlines() divider = make_axes_locatable(axs[0,1]) cbaxes = divider.append_axes("right", size="5%", pad=0.05, axes_class=plt.Axes) vlabel = ' '.join([ a[0].upper() + a[1:] if len(a) > 2 else a.upper() if len(a) == 1 else a for a in variable_name.split('_') ]) cbar2 = plt.colorbar( im2, cax=cbaxes, orientation='vertical', label=r'%s [%s]' % (vlabel, dataset[variable_name].units) ) cbar2.set_ticks([0.25, 0.75]) cbar2.ax.set_yticklabels([ 'Non-Cloud', 'Cloud' ], rotation=90, verticalalignment='center' ) # Top right panel band_values = np.array(ahi_scn['B13']) mask = np.full(band_values.shape, False) min_y, max_y = int(8750 / 11000 * band_values.shape[0]), int(9750 / 11000 * band_values.shape[0]) min_x, max_x = int(5750 / 11000 * band_values.shape[0]), int(6750 / 11000 * band_values.shape[0]) mask[min_y:max_y, min_x:max_x] = True new_shape = (int(max_y - min_y), int(max_x - min_x)) band_values = band_values[mask].reshape(new_shape) im3 = axs[0,2].imshow( band_values, origin='upper', transform=ccrs.Geostationary(140.735785863), extent=(xmin, xmax, ymin, ymax), cmap='binary', vmin=250, vmax=300 ) axs[0,2].imshow( v_data, alpha=0.5*v_data, origin='upper', transform=ccrs.Geostationary(140.735785863), extent=(xmin, xmax, ymin, ymax), cmap='bwr' ) axs[0,2].coastlines() divider = make_axes_locatable(axs[0,2]) cbaxes = divider.append_axes("right", size="5%", pad=0.05, axes_class=plt.Axes) cbar3 = plt.colorbar( im3, extend='both', cax=cbaxes, orientation='vertical', label='%s [%s]' % (r'10.45$\mu m$ BT', 'K') ) # Mid left panel img_arr = natural_colour_rgb(ahi_scn, apply_mask=True, mask_area=mask_area) axs[1,0].imshow( img_arr, origin='upper', transform=ccrs.Geostationary(140.735785863), extent=(xmin, xmax, ymin, ymax) ) axs[1,0].coastlines() divider = make_axes_locatable(axs[1,0]) cbaxes = divider.append_axes("right", size="5%", pad=0.05, axes_class=plt.Axes) cbaxes.axis('off') # Mid centre panel img_arr = eumetsat_dust_rgb(ahi_scn, apply_mask=True, mask_area=mask_area) axs[1,1].imshow( img_arr, origin='upper', transform=ccrs.Geostationary(140.735785863), extent=(xmin, xmax, ymin, ymax) ) axs[1,1].coastlines() divider = make_axes_locatable(axs[1,1]) cbaxes = divider.append_axes("right", size="5%", pad=0.05, axes_class=plt.Axes) cbaxes.axis('off') # Mid right panel img_arr = true_colour_rgb(ahi_scn, apply_mask=True, mask_area=mask_area) axs[1,2].imshow( img_arr, origin='upper', transform=ccrs.Geostationary(140.735785863), extent=(xmin, xmax, ymin, ymax) ) axs[1,2].coastlines() divider = make_axes_locatable(axs[1,2]) cbaxes = divider.append_axes("right", size="5%", pad=0.05, axes_class=plt.Axes) cbaxes.axis('off') # # Bottom left panel # variable_name = 'aerosol_continuous_mask' # cmap = plt.get_cmap('bwr') # cmap.set_bad(color='k', alpha=1.) # v_data = np.array(dataset[variable_name]) # v_data[v_data == dataset[variable_name]._FillValue] = np.nan # mask = np.full(v_data.shape, False) # min_y, max_y = int(8750 / 11000 * v_data.shape[0]), int(9750 / 11000 * v_data.shape[0]) # min_x, max_x = int(5750 / 11000 * v_data.shape[0]), int(6750 / 11000 * v_data.shape[0]) # mask[min_y:max_y, min_x:max_x] = True # new_shape = (int(max_y - min_y), int(max_x - min_x)) # v_data = v_data[mask].reshape(new_shape) # im1 = axs[2,0].imshow( # v_data, # origin='upper', # transform=ccrs.Geostationary(140.735785863), # extent=(xmin, xmax, ymin, ymax), # cmap=cmap, # vmin=dataset[variable_name].valid_min, # vmax=dataset[variable_name].valid_max # ) # axs[2,0].coastlines() # divider = make_axes_locatable(axs[2,0]) # cbaxes = divider.append_axes("right", size="5%", pad=0.05, axes_class=plt.Axes) # vlabel = ' '.join([ # a[0].upper() + a[1:] # if len(a) > 2 # else a.upper() # if len(a) == 1 # else a # for a # in variable_name.split('_') # ]) # cbar1 = plt.colorbar( # im1, # cax=cbaxes, # orientation='vertical', # label=r'%s [%s]' % (vlabel, dataset[variable_name].units) # ) # # Bottom centre panel # variable_name = 'aerosol_binary_mask' # colors = [ # (0., 0., 1.), # (1., 0., 0.) # ] # cmap = LinearSegmentedColormap.from_list('nn_rgb', colors, N=2) # cmap.set_bad(color='k', alpha=1.) # v_data = np.array(dataset[variable_name]) # v_data[v_data == dataset[variable_name]._FillValue] = np.nan # mask = np.full(v_data.shape, False) # min_y, max_y = int(8750 / 11000 * v_data.shape[0]), int(9750 / 11000 * v_data.shape[0]) # min_x, max_x = int(5750 / 11000 * v_data.shape[0]), int(6750 / 11000 * v_data.shape[0]) # mask[min_y:max_y, min_x:max_x] = True # new_shape = (int(max_y - min_y), int(max_x - min_x)) # v_data = v_data[mask].reshape(new_shape) # im2 = axs[2,1].imshow( # v_data, # origin='upper', # transform=ccrs.Geostationary(140.735785863), # extent=(xmin, xmax, ymin, ymax), # cmap=cmap, # vmin=dataset[variable_name].valid_min, # vmax=dataset[variable_name].valid_max # ) # axs[2,1].coastlines() # divider = make_axes_locatable(axs[2,1]) # cbaxes = divider.append_axes("right", size="5%", pad=0.05, axes_class=plt.Axes) # vlabel = ' '.join([ # a[0].upper() + a[1:] # if len(a) > 2 # else a.upper() # if len(a) == 1 # else a # for a # in variable_name.split('_') # ]) # cbar2 = plt.colorbar( # im2, # cax=cbaxes, # orientation='vertical', # label=r'%s [%s]' % (vlabel, dataset[variable_name].units) # ) # cbar2.set_ticks([0.25, 0.75]) # cbar2.ax.set_yticklabels([ # 'Non Thick Aerosol', # 'Thick Aerosol' # ], # rotation=90, # verticalalignment='center' # ) # # Bottom right panel # band_values = np.array(ahi_scn['B13']) # mask = np.full(band_values.shape, False) # min_y, max_y = int(8750 / 11000 * band_values.shape[0]), int(9750 / 11000 * band_values.shape[0]) # min_x, max_x = int(5750 / 11000 * band_values.shape[0]), int(6750 / 11000 * band_values.shape[0]) # mask[min_y:max_y, min_x:max_x] = True # new_shape = (int(max_y - min_y), int(max_x - min_x)) # band_values = band_values[mask].reshape(new_shape) # im3 = axs[2,2].imshow( # band_values, # origin='upper', # transform=ccrs.Geostationary(140.735785863), # extent=(xmin, xmax, ymin, ymax), # cmap='binary', # vmin=250, # vmax=300 # ) # axs[2,2].imshow( # v_data, # alpha=0.5*v_data, # origin='upper', # transform=ccrs.Geostationary(140.735785863), # extent=(xmin, xmax, ymin, ymax), # cmap='bwr' # ) # axs[2,2].coastlines() # divider = make_axes_locatable(axs[2,2]) # cbaxes = divider.append_axes("right", size="5%", pad=0.05, axes_class=plt.Axes) # cbar3 = plt.colorbar( # im3, # extend='both', # cax=cbaxes, # orientation='vertical', # label='%s [%s]' % (r'10.45$\mu m$ BT', 'K') # ) fig.tight_layout() return fig @click.command() @click.option( '--path_to_nc_file', '-pnc', default=os.path.join(main_dir, 'Example', 'ahi_nn_analysis_20200105_0500_wo-era.nc'), help='The full/path/to/nc_file, where the .nc file has the format ' + 'ahi_nn_annalysis_<YYYYmmdd>_<HHMM>_<w/wo-era>.nc' ) @click.option( '--save_dir', '-s', default=os.path.join(main_dir, 'Example', 'Images'), help='The directory where the images will be saved.' ) @click.option( '--aus_only', '-a', default='True', help='Boolean indicating whether to produce graphs covering Australia only.' ) @click.option( '--with_rgbs_and_channels', '-w', default='False', help='Boolean indicating whether to produce RGB images of the specified region.' ) @click.option( '--path_to_scene', '-ps', default=os.path.join(main_dir, 'Example', '20200105_0500'), help='The full/path/to/scene, including the name of the folder ' + 'that contains the scene data to be analysed. The scene folder ' + 'has the format YYYYmmdd_HHMM.' ) @click.option( '--smoke_analysis_only', '-sao', default='False', help='Plots smoke analysis figure if True' ) def main(path_to_nc_file, save_dir, aus_only, with_rgbs_and_channels, path_to_scene, smoke_analysis_only): if smoke_analysis_only in ['True', 'true', '1', 'yes', 'Yes']: dst = nc.Dataset(path_to_nc_file) ahi_scn = read_h8_folder(path_to_scene) scene_stringtime = ahi_scn.start_time.strftime('%Y%m%d_%H%M') fig = plot_smoke_analysis( ahi_scn=ahi_scn, dataset=dst ) fig_name = '_'.join(['smoke_analysis_panels', scene_stringtime]) + '.png' fig.savefig( os.path.join(save_dir, fig_name), format='png', bbox_inches='tight' ) plt.clf() plt.close(fig) else: if aus_only not in ['True', 'true', '1', 'yes', 'Yes']: plot_full_analysis( path_to_nc_file, save_dir ) else: plot_full_analysis( path_to_nc_file, save_dir, aus_only=True ) if with_rgbs_and_channels in ['True', 'true', '1', 'yes', 'Yes']: print('Plotting RGBs...') ahi_scn = read_h8_folder(path_to_scene) scene_stringtime = ahi_scn.start_time.strftime('%Y%m%d_%H%M') for rgb_name in ['true_colour', 'natural_colour', 'EUMetSat_dust']: if aus_only not in ['True', 'true', '1', 'yes', 'Yes']: fig = plot_rgb( ahi_scn=ahi_scn, rgb_name=rgb_name, apply_mask=False ) fig_name = '_'.join([rgb_name, scene_stringtime]) + '.png' fig.savefig( os.path.join(save_dir, fig_name), format='png', bbox_inches='tight', dpi=300 ) plt.clf() plt.close(fig) else: for region in ['Australia','Cape York','SE Coast of Australia','East Coast of Australia','Central Australia', 'China']: fig = plot_rgb( ahi_scn=ahi_scn, rgb_name=rgb_name, apply_mask=True, mask_area=region ) fig_name = '_'.join([rgb_name, scene_stringtime, f'{"-".join(region.split(" "))}_only']) + '.png' fig.savefig( os.path.join(save_dir, fig_name), format='png', bbox_inches='tight', dpi=300 ) plt.clf() plt.close(fig) # fig = plot_channel_difference( # ahi_scn=ahi_scn, # apply_mask=True, # mask_area=region # ) # fig_name = '_'.join(['11-12micron_diff', scene_stringtime, f'{"-".join(region.split(" "))}_only']) + '.png' # fig.savefig( # os.path.join(save_dir, fig_name), # format='png', # bbox_inches='tight' # ) # plt.clf() # plt.close(fig) # fig = plot_channel_difference( # ahi_scn=ahi_scn, # primary_band_number=4, # secondary_band_number=5, # apply_mask=True, # mask_area=region # ) # fig_name = '_'.join(['B04-B05_diff', scene_stringtime, f'{"-".join(region.split(" "))}_only']) + '.png' # fig.savefig( # os.path.join(save_dir, fig_name), # format='png', # bbox_inches='tight' # ) # plt.clf() # plt.close(fig) # for bnum in range(1, 16 + 1): # if aus_only not in ['True', 'true', '1', 'yes', 'Yes']: # fig = plot_single_channel( # ahi_scn=ahi_scn, # band_number=bnum, # apply_mask=False # ) # fig_name = '_'.join([f"B{int(bnum):02d}", scene_stringtime]) + '.png' # fig.savefig( # os.path.join(save_dir, fig_name), # format='png', # bbox_inches='tight' # ) # else: # for region in ['Australia','Cape York','SE Coast of Australia','East Coast of Australia','Central Australia']: # fig = plot_single_channel( # ahi_scn=ahi_scn, # band_number=bnum, # apply_mask=True, # mask_area=region # ) # fig_name = '_'.join([f"B{int(bnum):02d}", scene_stringtime, f'{"-".join(region.split(" "))}_only']) + '.png' # fig.savefig( # os.path.join(save_dir, fig_name), # format='png', # bbox_inches='tight' # ) if __name__ == '__main__': main()

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6822f00deebbc76ed2fd96e0c78de432c88f4020

19,086

py

Python

[Execute01]fund_extractXLSXfromFAS.py

tooget/Fund-NAV-Calculator

91b02512c5a080621d5bfb75eceae0ecee487de6

[ "Apache-2.0" ]

1

2018-11-16T09:50:48.000Z

[Execute01]fund_extractXLSXfromFAS.py

tooget/Fund-NAV-Calculator

91b02512c5a080621d5bfb75eceae0ecee487de6

[ "Apache-2.0" ]

1

2020-11-13T18:04:36.000Z

[Execute01]fund_extractXLSXfromFAS.py

tooget/Fund-NAV-Calculator

91b02512c5a080621d5bfb75eceae0ecee487de6

[ "Apache-2.0" ]

null

#-*- coding:utf-8 -*- from Modules import Fund_settings from Modules import Fund_modules import time fas_gui = Fund_modules.fund.fund_extractXLSXfromFAS() fasLoginID = Fund_settings.fasLoginId fasLoginPW = Fund_settings.fasLoginPw fas_ExePath = Fund_settings.fasExePath fasGuiImage_path = Fund_modules.general_func.filesInDirectory(Fund_settings.fasGuiImagePath) #fromNdaysBefore = int(input("Export xlsx files from N days before : ")) dateToExtract = str(input("Input Date to export xlsx files : ")) dateToExtract = dateToExtract.replace('-','') #datelist = Fund_modules.general_func.create_datelist(fromNdaysBefore,'filename') datelist = [dateToExtract] fundcode = Fund_settings.codeAvailable(datelist[0]) fas_tr_list = Fund_settings.fasExtractTRList print("-"*50) print("Start date : ",datelist[0]) print("End Date : ",datelist[-1]) print("Target Funds : ",fundcode) print("Target FAS TR Numbers : ",fas_tr_list) print("-"*50) startTimeStamp = time.time() print("START : ",time.ctime(startTimeStamp)) print("-"*50) from threading import Thread from subprocess import run as srun class fas_execute(Thread): def __init__(self,exepath): Thread.__init__(self) self.exepath = exepath def run(self): srun(self.exepath) t1 = fas_execute(fas_ExePath) t1.start() print('FAS executed.') fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[0],'exist',10) fas_gui.imageRightSideClick(fasGuiImage_path[0]) fas_gui.pasteKey(fasLoginID) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[1],'exist',10) fas_gui.imageRightSideClick(fasGuiImage_path[1]) fas_gui.pasteKey(fasLoginPW) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[2],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[2]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[3],'exist',10) fas_gui.imageCenterDoubleClick(fasGuiImage_path[4]) saveComplete = [] for fas_tr_num in fas_tr_list: try: fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[5],'exist',5) fas_gui.imageCenterClick(fasGuiImage_path[5]) except TypeError: print('PASS : Find another TR Empty inputbox.') fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[15],'exist',5) fas_gui.imageCenterClick(fasGuiImage_path[15]) time.sleep(0.3) fas_gui.pasteKey(fas_tr_num) fas_gui.inputKeys('enter') #<declassified> if fas_tr_num in ['<declassified>']: for date in datelist[0:1]: print('START: ',fas_tr_num,date) # 04 조회 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[25],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[25]) # 05 처리중 돌아가는 이미지가 없는지 확인 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[9],'notexist',10) # 07 엑셀 추출 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[21],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[21]) # 08 엑셀 X 버튼 클릭 # 엑셀 창 뜨는 게 유난히 오래 걸림. fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[11],'exist',25) fas_gui.imageCenterClick(fasGuiImage_path[11]) # 09 엑셀 종료 확인창 팝업시 저장 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[12],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[12]) # 10 다른이름으로 저장 아이콘 이미지가 뜨는지 확인 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[13],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[13]) # 11 경로 및 파일이름 붙여넣기 fileNamenPath = Fund_settings.fundXlsxFile_path+'<declassified>'+fas_tr_num+'_'+date+'.xlsx' #fileNamenPath = Fund_settings.fundXlsxFile_path+'fas'+fas_tr_num+'_'+date+'.xlsx' fas_gui.pasteKey(fileNamenPath) saveComplete.append(fileNamenPath) # 12 저장 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[14],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[14]) print('COMPLETE: <declassified>',saveComplete[-1]) time.sleep(1) #<declassified> elif fas_tr_num in ['<declassified>']: for code in fundcode: for date in datelist: print('START: ',fas_tr_num,code['<declassified>'],date) # 01 달력 아이콘 누르고 엔터 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[6],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[6]) time.sleep(0.3) fas_gui.inputKeys('enter') # 02 날짜 순서대로 입력하고 엔터 for keys in date: fas_gui.inputKeys(keys) time.sleep(0.15) fas_gui.inputKeys('enter') # 03 펀드 입력부에 펀드코드를 붙여넣기 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[17],'exist',10) fas_gui.imageRightSideClick(fasGuiImage_path[17]) fas_gui.inputHotkeys('ctrl','a') fas_gui.pasteKey(code['<declassified>'][1:]) # 04 조회 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[20],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[20]) # 05 처리중 돌아가는 이미지가 없는지 확인 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[9],'notexist',10) try: # 06 자료 없음 메세지가 있는지 확인 후 확인 버튼 클릭 > 다음으로 넘어감 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[18],'exist',5) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[19],'exist',1) fas_gui.imageCenterClick(fasGuiImage_path[19]) print('PASS: Skip ', fas_tr_num, code['<declassified>'], date) except TypeError: # 06 자료 없음 메세지가 있는지 확인 후 없으면 > 계속 진행 # 07 엑셀 추출 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[21],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[21]) # 08 엑셀 X 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[11],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[11]) # 09 엑셀 종료 확인창 팝업시 저장 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[12],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[12]) # 10 다른이름으로 저장 아이콘 이미지가 뜨는지 확인 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[13],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[13]) # 11 경로 및 파일이름 붙여넣기 fileNamenPath = Fund_settings.fundXlsxFile_path+'<declassified>'+fas_tr_num+'_'+code['<declassified>']+'_'+date+'.xlsx' #fileNamenPath = Fund_settings.fundXlsxFile_path+'fas'+fas_tr_num+'_'+date+'.xlsx' fas_gui.pasteKey(fileNamenPath) saveComplete.append(fileNamenPath) # 12 저장 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[14],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[14]) print('COMPLETE: <declassified>',saveComplete[-1]) time.sleep(1) #<declassified> elif fas_tr_num in ['<declassified>']: for date in datelist: print('START: ',fas_tr_num,date) # 01 기준일자(시작) 아이콘 누르고 엔터 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[22],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[22]) time.sleep(0.3) for keys in date: fas_gui.inputKeys(keys) time.sleep(0.15) fas_gui.inputKeys('enter') # 02 기준일자(끝) 아이콘 누르고 엔터 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[23],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[23]) time.sleep(0.3) for keys in date: fas_gui.inputKeys(keys) time.sleep(0.15) fas_gui.inputKeys('enter') # 03 조회 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[8],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[8]) # 04 처리중 돌아가는 이미지가 없는지 확인 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[9],'notexist',10) # 05 엑셀 추출 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[24],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[24]) # 06 엑셀 X 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[11],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[11]) # 07 엑셀 종료 확인창 팝업시 저장 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[12],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[12]) # 08 다른이름으로 저장 아이콘 이미지가 뜨는지 확인 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[13],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[13]) # 09 경로 및 파일이름 붙여넣기 fileNamenPath = Fund_settings.fundXlsxFile_path+'<declassified>'+fas_tr_num+'_'+date+'.xlsx' #fileNamenPath = Fund_settings.fundXlsxFile_path+'<declassified>'+fas_tr_num+'_'+date+'.xlsx' fas_gui.pasteKey(fileNamenPath) saveComplete.append(fileNamenPath) # 12 저장 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[14],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[14]) print('COMPLETE: <declassified>',saveComplete[-1]) time.sleep(1) #<declassified> elif fas_tr_num in ['<declassified>']: for date in datelist: fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[6],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[6]) time.sleep(0.3) fas_gui.inputKeys('enter') for keys in date: fas_gui.inputKeys(keys) time.sleep(0.15) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[8],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[8]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[9],'notexist',10) time.sleep(0.5) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[10],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[10]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[11],'exist',15) fas_gui.imageCenterClick(fasGuiImage_path[11]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[12],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[12]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[13],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[13]) fileNamenPath = Fund_settings.fundXlsxFile_path+'<declassified>'+fas_tr_num+'_'+date+'.xlsx' fas_gui.pasteKey(fileNamenPath) saveComplete.append(fileNamenPath) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[14],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[14]) print('COMPLETE: <declassified>',saveComplete[-1]) time.sleep(1) #<declassified> elif fas_tr_num in ['<declassified>']: for code in fundcode: for date in datelist: print('START: ',fas_tr_num,code['<declassified>'],date) time.sleep(0.5) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[6],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[6]) time.sleep(0.5) fas_gui.inputKeys('enter') for keys in date: fas_gui.inputKeys(keys) time.sleep(0.15) fas_gui.inputKeys('enter') fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[16],'exist',10) fas_gui.imageRightSideClick(fasGuiImage_path[16]) fas_gui.inputHotkeys('ctrl','a') fas_gui.pasteKey(code['<declassified>'][1:]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[8],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[8]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[9],'notexist',10) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[10],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[10]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[11],'exist',15) fas_gui.imageCenterClick(fasGuiImage_path[11]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[12],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[12]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[13],'exist',10) fileNamenPath = Fund_settings.fundXlsxFile_path+'<declassified>'+fas_tr_num+'_'+code['<declassified>']+'_'+date+'.xlsx' #fileNamenPath = Fund_settings.fundXlsxFile_path+'fas'+fas_tr_num+'_'+date+'.xlsx' fas_gui.pasteKey(fileNamenPath) saveComplete.append(fileNamenPath) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[14],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[14]) print('COMPLETE: <declassified>',saveComplete[-1]) time.sleep(1) #<declassified> elif fas_tr_num in ['<declassified>']: for code in fundcode: for date in datelist: print('START: ',fas_tr_num,code['<declassified>'],date) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[6],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[6]) time.sleep(0.3) fas_gui.inputKeys('enter') for keys in date: fas_gui.inputKeys(keys) time.sleep(0.15) fas_gui.inputKeys('enter') fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[7],'exist',10) fas_gui.imageRightSideClick(fasGuiImage_path[7]) fas_gui.inputHotkeys('ctrl','a') fas_gui.pasteKey(code['<declassified>'][1:]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[8],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[8]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[9],'notexist',10) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[10],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[10]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[11],'exist',15) fas_gui.imageCenterClick(fasGuiImage_path[11]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[12],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[12]) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[13],'exist',10) fileNamenPath = Fund_settings.fundXlsxFile_path+'<declassified>'+fas_tr_num+'_'+code['<declassified>']+'_'+date+'.xlsx' #fileNamenPath = Fund_settings.fundXlsxFile_path+'fas'+fas_tr_num+'_'+date+'.xlsx' fas_gui.pasteKey(fileNamenPath) saveComplete.append(fileNamenPath) fas_gui.imageCenterClick(fasGuiImage_path[14]) print('COMPLETE: <declassified>',saveComplete[-1]) time.sleep(1) #<declassified> elif fas_tr_num in ['<declassified>']: for date in datelist: print('START: ',fas_tr_num,date) # 01 기준일자(시작) 아이콘 누르고 엔터 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[26],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[26]) time.sleep(0.3) for keys in date: fas_gui.inputKeys(keys) time.sleep(0.15) fas_gui.inputKeys('enter') # 02 기준일자(끝) 아이콘 누르고 엔터 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[27],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[27]) time.sleep(0.3) for keys in date: fas_gui.inputKeys(keys) time.sleep(0.15) fas_gui.inputKeys('enter') # 03 조회 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[28],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[28]) # 04 처리중 돌아가는 이미지가 없는지 확인 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[9],'notexist',10) try: # 06 자료 없음 메세지가 있는지 확인 후 없으면 > 계속 진행 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[18],'notexist',5) # 07 엑셀 추출 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[10],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[10]) # 08 엑셀 X 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[11],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[11]) # 09 엑셀 종료 확인창 팝업시 저장 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[12],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[12]) # 10 다른이름으로 저장 아이콘 이미지가 뜨는지 확인 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[13],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[13]) # 11 경로 및 파일이름 붙여넣기 fileNamenPath = Fund_settings.fundXlsxFile_path+'<declassified>'+fas_tr_num+'_'+date+'.xlsx' #fileNamenPath = Fund_settings.fundXlsxFile_path+'fas'+fas_tr_num+'_'+date+'.xlsx' fas_gui.pasteKey(fileNamenPath) saveComplete.append(fileNamenPath) # 12 저장 버튼 클릭 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[14],'exist',10) fas_gui.imageCenterClick(fasGuiImage_path[14]) print('COMPLETE: <declassified>',saveComplete[-1]) except TypeError: # 06 자료 없음 메세지가 있는지 확인 후 확인 버튼 클릭 > 다음으로 넘어감 fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[18],'exist',5) fas_gui.checkImagesOnscreenLoop(fasGuiImage_path[19],'exist',1) fas_gui.imageCenterClick(fasGuiImage_path[19]) print('PASS: Skip ', fas_tr_num, date) time.sleep(1) #fas_gui.inputHotkeys('alt','f4') [print(x, saveComplete[x]) for x in range(len(saveComplete))] endTimeStamp = time.time() print("-"*50) print("END : ",time.ctime(endTimeStamp)) print("Running Time : ",round(endTimeStamp-startTimeStamp,2)) print("-"*50)

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