Avoid usage of a global current_h5_data var
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@ -41,7 +41,6 @@ IMAGE_H = 128
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def create():
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def create():
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curent_h5_data = np.array([])
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det_data = {}
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det_data = {}
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roi_selection = {}
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roi_selection = {}
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@ -61,7 +60,7 @@ def create():
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if index is None:
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if index is None:
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index = index_spinner.value
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index = index_spinner.value
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current_image = curent_h5_data[index]
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current_image = det_data["data"][index]
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proj_v_line_source.data.update(
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proj_v_line_source.data.update(
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x=np.arange(0, IMAGE_W) + 0.5, y=np.mean(current_image, axis=0)
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x=np.arange(0, IMAGE_W) + 0.5, y=np.mean(current_image, axis=0)
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)
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)
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@ -85,9 +84,10 @@ def create():
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image_glyph.color_mapper.high = im_max
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image_glyph.color_mapper.high = im_max
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def update_overview_plot():
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def update_overview_plot():
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n_im, n_y, n_x = curent_h5_data.shape
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h5_data = det_data["data"]
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overview_x = np.mean(curent_h5_data, axis=1)
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n_im, n_y, n_x = h5_data.shape
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overview_y = np.mean(curent_h5_data, axis=2)
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overview_x = np.mean(h5_data, axis=1)
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overview_y = np.mean(h5_data, axis=2)
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overview_plot_x_image_source.data.update(image=[overview_x], dw=[n_x])
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overview_plot_x_image_source.data.update(image=[overview_x], dw=[n_x])
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overview_plot_y_image_source.data.update(image=[overview_y], dw=[n_y])
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overview_plot_y_image_source.data.update(image=[overview_y], dw=[n_y])
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@ -110,13 +110,11 @@ def create():
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overview_plot_y_image_source.data.update(y=[om_start], dh=[om_end])
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overview_plot_y_image_source.data.update(y=[om_start], dh=[om_end])
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def filelist_callback(_attr, _old, new):
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def filelist_callback(_attr, _old, new):
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nonlocal curent_h5_data, det_data
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nonlocal det_data
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det_data = pyzebra.read_detector_data(new)
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det_data = pyzebra.read_detector_data(new)
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data = det_data["data"]
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curent_h5_data = data
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index_spinner.value = 0
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index_spinner.value = 0
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index_spinner.high = curent_h5_data.shape[0] - 1
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index_spinner.high = det_data["data"].shape[0] - 1
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update_image(0)
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update_image(0)
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update_overview_plot()
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update_overview_plot()
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@ -220,12 +218,13 @@ def create():
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def box_edit_callback(_attr, _old, new):
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def box_edit_callback(_attr, _old, new):
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if new["x"]:
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if new["x"]:
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x_val = np.arange(curent_h5_data.shape[0])
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h5_data = det_data["data"]
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x_val = np.arange(h5_data.shape[0])
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left = int(np.floor(new["x"][0]))
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left = int(np.floor(new["x"][0]))
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right = int(np.ceil(new["x"][0] + new["width"][0]))
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right = int(np.ceil(new["x"][0] + new["width"][0]))
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bottom = int(np.floor(new["y"][0]))
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bottom = int(np.floor(new["y"][0]))
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top = int(np.ceil(new["y"][0] + new["height"][0]))
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top = int(np.ceil(new["y"][0] + new["height"][0]))
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y_val = np.sum(curent_h5_data[:, bottom:top, left:right], axis=(1, 2))
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y_val = np.sum(h5_data[:, bottom:top, left:right], axis=(1, 2))
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else:
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else:
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x_val = []
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x_val = []
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y_val = []
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y_val = []
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