[test] fix import
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@ -1,10 +1,9 @@
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import nixio as nix
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import lif
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import os
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import nixview.test.lif as lif
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import numpy as np
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import matplotlib.pyplot as plt
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import matplotlib.mlab as mlab
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from PIL import Image as img
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from IPython import embed
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def bivariate_normal(X, Y, sigmax=1.0, sigmay=1.0,
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mux=0.0, muy=0.0, sigmaxy=0.0):
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@ -70,6 +69,7 @@ def create_1d_sampled(f, b):
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def create_2d(f, b, trials=10):
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# create multiple responses of a lif model neuron
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voltages = []
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time = None
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for t in range(trials):
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time, voltage, _ = fake_neuron()
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voltages.append(voltage)
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@ -78,7 +78,7 @@ def create_2d(f, b, trials=10):
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da = b.create_data_array("membrane voltages", "nix.regular_sampled.series",
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dtype=nix.DataType.Double, data=voltages)
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d = da.append_sampled_dimension(time[1]-time[0])
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d = da.append_sampled_dimension(time[1] - time[0])
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d.label = "time"
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d.unit = "s"
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da.label = "voltage"
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@ -103,7 +103,9 @@ def create_2d(f, b, trials=10):
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def create_3d(f, b):
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# taken from nix tutorial
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image = img.open('lena.bmp')
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path = os.path.realpath(__file__).split(os.sep)[:-1]
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path.append("lena.bmp")
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image = img.open(os.sep.join(path))
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img_data = np.array(image)
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channels = list(image.mode)
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data = b.create_data_array("lena", "nix.image.rgb", data=img_data)
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@ -8,7 +8,7 @@ test_file = os.path.join(".", "nix_test.h5")
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def setup():
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if not os.path.exists(test_file):
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from nixview.test.create_test_file import create_test_file
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create_test_file()
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create_test_file(test_file)
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fhandler = file_handler.FileHandler()
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yield fhandler
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fhandler.close()
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@ -9,7 +9,7 @@ test_file = os.path.join(".", "nix_test.h5")
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def app(qtbot):
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if not os.path.exists(test_file):
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from nixview.test.create_test_file import create_test_file
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create_test_file()
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create_test_file(test_file)
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test_nv = NixView()
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qtbot.addWidget(test_nv)
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yield test_nv
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