import warnings

import numpy as np

import pyqtgraph as pg
from pyqtgraph.Qt import QtGui

pg.mkQApp()


def test_bool():
    truths = np.random.randint(0, 2, size=(100,)).astype(bool)
    pdi = pg.PlotDataItem(truths)
    bounds = pdi.dataBounds(1)
    assert isinstance(bounds[0], np.uint8)
    assert isinstance(bounds[1], np.uint8)
    xdata, ydata = pdi.getData()
    assert ydata.dtype == np.uint8


def test_fft():
    f = 20.
    x = np.linspace(0, 1, 1000)
    y = np.sin(2 * np.pi * f * x)
    pd = pg.PlotDataItem(x, y)
    pd.setFftMode(True)
    x, y = pd.getData()
    assert abs(x[np.argmax(y)] - f) < 0.03

    x = np.linspace(0, 1, 1001)
    y = np.sin(2 * np.pi * f * x)
    pd.setData(x, y)
    x, y = pd.getData()
    assert abs(x[np.argmax(y)]- f) < 0.03

    pd.setLogMode(True, False)
    x, y = pd.getData()
    assert abs(x[np.argmax(y)] - np.log10(f)) < 0.01

def test_setData():
    pdi = pg.PlotDataItem()

    #test empty data
    pdi.setData([])

    #test y data
    y = list(np.random.normal(size=100))
    pdi.setData(y)
    assert len(pdi.xData) == 100
    assert len(pdi.yData) == 100

    #test x, y data
    y += list(np.random.normal(size=50))
    x = np.linspace(5, 10, 150)

    pdi.setData(x, y)
    assert len(pdi.xData) == 150
    assert len(pdi.yData) == 150
    
    #test clear by empty call
    pdi.setData()
    assert pdi.xData is None
    assert pdi.yData is None

    #test dict of x, y list
    y += list(np.random.normal(size=50))
    x = list(np.linspace(5, 10, 200))
    pdi.setData({'x': x, 'y': y})
    assert len(pdi.xData) == 200
    assert len(pdi.yData) == 200

    #test clear by zero length arrays call
    pdi.setData([],[])
    assert pdi.xData is None
    assert pdi.yData is None
    
def test_nonfinite():
    def _assert_equal_arrays(a1, a2):
        assert a1.shape == a2.shape
        for ( xtest, xgood ) in zip( a1, a2 ):
            assert( (xtest == xgood) or (np.isnan(xtest) and np.isnan(xgood) ) ) 
        
    x = np.array([-np.inf, 0.0, 1.0,  2.0  , np.nan,   4.0 , np.inf])
    y = np.array([    1.0, 0.0,-1.0, np.inf,   2.0 , np.nan,   0.0 ])
    pdi = pg.PlotDataItem(x, y)
    dataset = pdi.getDisplayDataset()
    _assert_equal_arrays( dataset.x, x )
    _assert_equal_arrays( dataset.y, y )
   
    with warnings.catch_warnings(): 
        warnings.simplefilter("ignore")
        x_log = np.log10(x)
        y_log = np.log10(y)
    x_log[ ~np.isfinite(x_log) ] = np.nan
    y_log[ ~np.isfinite(y_log) ] = np.nan

    pdi.setLogMode(True, True)
    dataset = pdi.getDisplayDataset()
    _assert_equal_arrays( dataset.x, x_log )
    _assert_equal_arrays( dataset.y, y_log )

def test_opts():
    # test that curve and scatter plot properties get updated from PlotDataItem methods
    y = list(np.random.normal(size=100))
    x = np.linspace(5, 10, 100)
    pdi = pg.PlotDataItem(x, y)
    pen = QtGui.QPen( QtGui.QColor('#FF0000') )
    pen2 = QtGui.QPen( QtGui.QColor('#FFFF00') )
    brush = QtGui.QBrush( QtGui.QColor('#00FF00'))
    brush2 = QtGui.QBrush( QtGui.QColor('#00FFFF'))
    float_value = 1.0 + 20*np.random.random()
    pen2.setWidth( int(float_value) )
    pdi.setPen(pen)
    assert pdi.curve.opts['pen'] == pen
    pdi.setShadowPen(pen2)
    assert pdi.curve.opts['shadowPen'] == pen2
    pdi.setFillLevel( float_value )
    assert pdi.curve.opts['fillLevel'] == float_value
    pdi.setFillBrush(brush2)
    assert pdi.curve.opts['brush'] == brush2

    pdi.setSymbol('t')
    assert pdi.scatter.opts['symbol'] == 't'
    pdi.setSymbolPen(pen)
    assert pdi.scatter.opts['pen'] == pen
    pdi.setSymbolBrush(brush)
    assert pdi.scatter.opts['brush'] == brush
    pdi.setSymbolSize( float_value )
    assert pdi.scatter.opts['size'] == float_value

def test_clear():
    y = list(np.random.normal(size=100))
    x = np.linspace(5, 10, 100)
    pdi = pg.PlotDataItem(x, y)
    pdi.clear()

    assert pdi.xData is None
    assert pdi.yData is None

def test_clear_in_step_mode():
    w = pg.PlotWidget()
    c = pg.PlotDataItem([1,4,2,3], [5,7,6], stepMode="center")
    w.addItem(c)
    c.clear()

def test_clipping():
    y = np.random.normal(size=150)
    x = np.exp2(np.linspace(5, 10, 150))  # non-uniform spacing

    w = pg.PlotWidget(autoRange=True, downsample=5)
    c = pg.PlotDataItem(x, y)
    w.addItem(c)

    c.setClipToView(True)
    for x_min in range(-200, 2**10 - 100, 100):
        x_max = x_min + 100
        w.setXRange(x_min, x_max, padding=0)
        xDisp, _ = c.getData()
        # vr = c.viewRect()
        if len(xDisp) > 3: # check that all points except the first and last are on screen
            assert( xDisp[ 1] >= x_min and xDisp[ 1] <= x_max )
            assert( xDisp[-2] >= x_min and xDisp[-2] <= x_max )

    c.setDownsampling(ds=1) # disable downsampling
    for x_min in range(-200, 2**10 - 100, 100):
        x_max = x_min + 100
        w.setXRange(x_min, x_max, padding=0)
        xDisp, _ = c.getData()
        # vr = c.viewRect() # this tends to be out of data, so we check against the range that we set
        if len(xDisp) > 3: # check that all points except the first and last are on screen
            assert( xDisp[ 0] == x[ 0] or xDisp[ 0] < x_min ) # first point should be unchanged, or off-screen
            assert( xDisp[ 1] >= x_min and xDisp[ 1] <= x_max )
            assert( xDisp[-2] >= x_min and xDisp[-2] <= x_max )
            assert( xDisp[-1] == x[-1] or xDisp[-1] > x_max ) # last point should be unchanged, or off-screen

    c.setData(x=np.zeros_like(y), y=y) # test zero width data set:
    # test center and expected number of remaining data points
    for center, num in ((-100.,1), (100.,1), (0.,len(y)) ):
        # when all elements are off-screen, only one will be kept
        # when all elelemts are on-screen, all should be kept
        # and the code should not crash for zero separation
        w.setXRange( center-50, center+50, padding=0 )
        xDisp, yDisp = c.getData()
        assert len(xDisp) == num
        assert len(yDisp) == num

    w.close()
