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zv(ul&Q;JNw#9??{liJjd7GBc4Og#CjVXFE<)qIDaMBCSg^d{HwiQl-6H~M^w@5%5Q scd$NufZWXd8!p%NYE$#E^v&#B?eat{SM}>yGxu*ScB*{Ynm Date: Wed, 26 Jul 2023 16:56:44 -0700 Subject: [PATCH 2/5] add test for reading data with unordered position labels --- python/ndtiff/test/data_loading_test.py | 33 +++++++++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/python/ndtiff/test/data_loading_test.py b/python/ndtiff/test/data_loading_test.py index f44a96d..26c44ac 100644 --- a/python/ndtiff/test/data_loading_test.py +++ b/python/ndtiff/test/data_loading_test.py @@ -108,5 +108,38 @@ def test_v3_2_no_magellan_explore_no_channels(test_data_path): dataset = Dataset(data_path) assert(np.sum(np.array(dataset.as_array(stitched=True)[0])) > 0) +def test_labeled_positions(test_data_path): + """ + This dataset was acquired with the following events: + events = [ + {'axes': {'position': 'Pos2'}, 'x': 0, 'y': 0}, + {'axes': {'position': 'Pos0'}, 'x': 0, 'y': 1}, + {'axes': {'position': 'Pos1'}, 'x': 0, 'y': 2} + ] + Further, images at position ('Pos2', 'Pos0', 'Pos1') has (0, 0) pixels equal + to (0, 1, 2). + + Here we test that the axis and image order of the dataset is as expected. + """ + + data_path = os.path.join(test_data_path, 'v3', 'labeled_positions_1') + position_names = ('Pos2', 'Pos0', 'Pos1') + + dataset = Dataset(data_path) + data = np.asarray(dataset.as_array()) + + # ndtiff sorts the dataset axes. Check that the position axis is correctly + # sorted + assert dataset.axes['position'] == set(('Pos0', 'Pos1', 'Pos2')) + + # Check that the image metadata includes the position name + for position_name in position_names: + metadata = dataset.read_metadata(position=position_name) + assert metadata['PositionName'] == position_name + + # Check that data is in the ('Pos0', 'Pos1', 'Pos2') order + pixel_00 = (1, 2, 0) + for idx, image in enumerate(data): + assert image[0, 0] == pixel_00[idx] From 80623e77d67ea9e4be751cee6b53724752cbe91f Mon Sep 17 00:00:00 2001 From: Ivan Ivanov Date: Fri, 28 Jul 2023 08:59:52 -0700 Subject: [PATCH 3/5] add test for reading unordered z axis --- python/ndtiff/test/data_loading_test.py | 38 ++++++++++++++++++ test_data/v3/unordered_z_1/NDTiff.index | Bin 0 -> 1491 bytes .../unordered_z_1/unordered_z_NDTiffStack.tif | Bin 0 -> 10566406 bytes 3 files changed, 38 insertions(+) create mode 100644 test_data/v3/unordered_z_1/NDTiff.index create mode 100644 test_data/v3/unordered_z_1/unordered_z_NDTiffStack.tif diff --git a/python/ndtiff/test/data_loading_test.py b/python/ndtiff/test/data_loading_test.py index 26c44ac..997b601 100644 --- a/python/ndtiff/test/data_loading_test.py +++ b/python/ndtiff/test/data_loading_test.py @@ -143,3 +143,41 @@ def test_labeled_positions(test_data_path): pixel_00 = (1, 2, 0) for idx, image in enumerate(data): assert image[0, 0] == pixel_00[idx] + +def test_unordered_z_axis(test_data_path): + """ + This dataset was acquired with the following events: + + events1 = [{'axes': {'z': z_idx}, 'z': z_idx} for z_idx in range(10)] + events2 = [{'axes': {'z': z_idx}, 'z': z_idx} for z_idx in range(-10, 0)] + + and the following image process hook function: + + def fun(image, metadata): + if not hasattr(fun, "idx"): + fun.idx = 0 + + image[0, 0] = np.uint16(fun.idx) + + fun.idx += 1 + + return image, metadata + + Here we test that the axis and image order of the dataset is as expected. + """ + + data_path = os.path.join(test_data_path, 'v3', 'unordered_z_1') + acquisition_z_axis = list(range(10)) + list(range(-10, 0)) + sorted_z_axis = sorted(acquisition_z_axis) + + dataset = Dataset(data_path) + data = np.asarray(dataset.as_array()) + + # ndtiff sorts the dataset axes. 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zp}p}XKH~3SvH$1|{|Lu{UnSzl0Z0KgM{Y^+mxJ*i`{;df87-L!9 zbWv{nTHe#{rlD>Qhu6oy#r<~cwQxNiSD$1=^4d#)@t?YR_?q)n{eQKW2MJWo`&B;^ zRoTGx3)Lq%DZM5?xGA(;zbP^F$k6XsRVwz^-?Q3i{7CB1;pq+UY4v2oJ`KC2jlvJ* z^@IQAXQA8hw6x(b*8XZ&eW$*u!%~Ki%Ip~mOSLhpI#a?M@elUufkWN+0ln!oUyon6 zyoUH84BZ?ttzz)=5&BbonQn2upX~pisby#t-+Z+~udCx*!{LJ(BJHWlmO>N0Cv-Zh zK3AWCl=i}K?1;T;uTj!VNGyld?oxGb?g=Gk zwfj}gs49+CrKFiD)oI_2BlLQ1cqXn$m*MHimP6@i!)}PhRRIjEp!z4dX0T8SfeR42 z4xuwvyY>3%t-Z!=TD6MrlF$od+$y5f-e|Sy;!QXHP1meukl0qStz%lXkBRNjuvLe9 z+qAy7?f+>Qb7S&1?NBqvny-Uf3#l`1liEqvZ0vmP=r>eY4=vjRqSDnP0&-?Xb zA?K;OR`^`#ir?y1`tQsC*8tk^u}4E^zV;sInwIoD&Qj>siW!DQ85`T-`sKn}%t*nh zuewfEKR2~MpHE@%nrnJf0{G-#62KdizQxbR@Y Date: Thu, 3 Aug 2023 18:23:15 -0700 Subject: [PATCH 4/5] sort `as_array()` output data according to `axes[key]` Co-Authored-By: Henry Pinkard <7969470+henrypinkard@users.noreply.github.com> --- python/ndtiff/nd_tiff_current.py | 2 +- python/ndtiff/test/data_loading_test.py | 9 +++++---- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/python/ndtiff/nd_tiff_current.py b/python/ndtiff/nd_tiff_current.py index 8550631..0fc0b2b 100644 --- a/python/ndtiff/nd_tiff_current.py +++ b/python/ndtiff/nd_tiff_current.py @@ -610,7 +610,7 @@ def close(self): def _read_one_image(self, block_id, axes_to_stack=None, axes_to_slice=None, stitched=False, rgb=False): # a function that reads in one chunk of data - axes = {key: block_id[i] for i, key in enumerate(axes_to_stack.keys())} + axes = {key: axes_to_stack[key][block_id[i]] for i, key in enumerate(axes_to_stack.keys())} if stitched: # Combine all rows and cols into one stitched image # get spatial layout of position indices diff --git a/python/ndtiff/test/data_loading_test.py b/python/ndtiff/test/data_loading_test.py index 997b601..a1839a8 100644 --- a/python/ndtiff/test/data_loading_test.py +++ b/python/ndtiff/test/data_loading_test.py @@ -118,8 +118,8 @@ def test_labeled_positions(test_data_path): {'axes': {'position': 'Pos1'}, 'x': 0, 'y': 2} ] - Further, images at position ('Pos2', 'Pos0', 'Pos1') has (0, 0) pixels equal - to (0, 1, 2). + Further, images at position ('Pos2', 'Pos0', 'Pos1') have (0, 0) pixels + equal to (0, 1, 2). Here we test that the axis and image order of the dataset is as expected. """ @@ -168,7 +168,8 @@ def fun(image, metadata): data_path = os.path.join(test_data_path, 'v3', 'unordered_z_1') acquisition_z_axis = list(range(10)) + list(range(-10, 0)) - sorted_z_axis = sorted(acquisition_z_axis) + sorting_index = np.argsort(acquisition_z_axis) + sorted_z_axis = np.sort(acquisition_z_axis) dataset = Dataset(data_path) data = np.asarray(dataset.as_array()) @@ -178,6 +179,6 @@ def fun(image, metadata): assert dataset.axes['z'] == set(sorted_z_axis) # Check that data is in the sorted(acquisition_z_axis) order - pixel_00 = sorted_z_axis + pixel_00 = sorting_index for idx, image in enumerate(data): assert image[0, 0] == pixel_00[idx] From eb808103c8bff648538b94b9fc1066ee64e385c8 Mon Sep 17 00:00:00 2001 From: Ivan Ivanov Date: Thu, 3 Aug 2023 18:24:10 -0700 Subject: [PATCH 5/5] bump version --- python/ndtiff/_version.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/ndtiff/_version.py b/python/ndtiff/_version.py index 8c788f9..dc4ad5d 100644 --- a/python/ndtiff/_version.py +++ b/python/ndtiff/_version.py @@ -1,2 +1,2 @@ -version_info = (2, 2, 0) +version_info = (2, 2, 1) __version__ = ".".join(map(str, version_info))