from cdtools.tools import plotting
from cdtools.tools import initializers
import numpy as np
import torch as t
import scipy.datasets
import matplotlib.pyplot as plt

def test_plot_amplitude(show_plot):
    # Test with tensor
    im = t.as_tensor(scipy.datasets.ascent(),dtype=t.complex128)
    plotting.plot_amplitude(im, basis = np.array([[0,-1], [-1,0], [0,0]]), title = 'Test Amplitude')
    if show_plot:
        plt.show()

    # Test with numpy array
    im = scipy.datasets.ascent().astype(np.complex128)
    plotting.plot_amplitude(im, title = 'Test Amplitude')
    if show_plot:
        plt.show()


def test_plot_phase(show_plot):
    # Test with tensor
    im = initializers.gaussian([512, 512], [200,200], amplitude=100, curvature=[.1,.1])
    plotting.plot_phase(im, title = 'Test Phase')
    if show_plot:
        plt.show()

    # Test with numpy array
    im = initializers.gaussian([512, 512], [200,200], amplitude=100, curvature=[.1,.1]).numpy()
    plotting.plot_phase(im, title = 'Test Phase', basis = np.array([[0,-1], [-1,0], [0,0]]))
    if show_plot:
        plt.show()

def test_plot_colorized(show_plot):
    # Test with tensor
    gaussian = initializers.gaussian([512, 512], [200,200], amplitude=100, curvature=[.1,.1])
    im = gaussian * t.as_tensor(scipy.datasets.ascent(), dtype=t.complex64)
    plotting.plot_colorized(im, title = 'Test Colorize', basis = np.array([[0,-1], [-1,0], [0,0]]))
    if show_plot:
        plt.show()

    # Test with numpy array
    im = im.numpy()
    plotting.plot_colorized(im, title = 'Test Colorize')
    if show_plot:
        plt.show()