{"diffoscope-json-version": 1, "source1": "/srv/reproducible-results/rbuild-debian/r-b-build.sYf6Uch7/b1/pydicom_2.3.1-1_amd64.changes", "source2": "/srv/reproducible-results/rbuild-debian/r-b-build.sYf6Uch7/b2/pydicom_2.3.1-1_amd64.changes", "unified_diff": null, "details": [{"source1": "Files", "source2": "Files", "unified_diff": "@@ -1,4 +1,4 @@\n \n- 24aa5c1f05f1b1ade42c32772d7352ab 956948 doc optional python-pydicom-doc_2.3.1-1_all.deb\n+ d70624bb7127d123aa604c11b79b0a71 957056 doc optional python-pydicom-doc_2.3.1-1_all.deb\n d6bdc495841cf42385005411a66cdb39 3572 oldlibs optional python3-dicom_2.3.1-1_all.deb\n a5c55c24eef8eba1863432b0bd8af6fa 1238776 python optional python3-pydicom_2.3.1-1_all.deb\n"}, {"source1": "python-pydicom-doc_2.3.1-1_all.deb", "source2": "python-pydicom-doc_2.3.1-1_all.deb", "unified_diff": null, "details": [{"source1": "file list", "source2": "file list", "unified_diff": "@@ -1,3 +1,3 @@\n -rw-r--r-- 0 0 0 4 2022-11-28 16:58:43.000000 debian-binary\n--rw-r--r-- 0 0 0 29512 2022-11-28 16:58:43.000000 control.tar.xz\n--rw-r--r-- 0 0 0 927244 2022-11-28 16:58:43.000000 data.tar.xz\n+-rw-r--r-- 0 0 0 29540 2022-11-28 16:58:43.000000 control.tar.xz\n+-rw-r--r-- 0 0 0 927324 2022-11-28 16:58:43.000000 data.tar.xz\n"}, {"source1": "control.tar.xz", "source2": "control.tar.xz", "unified_diff": null, "details": [{"source1": "control.tar", "source2": "control.tar", "unified_diff": null, "details": [{"source1": "./md5sums", "source2": "./md5sums", "unified_diff": null, "details": [{"source1": "./md5sums", "source2": "./md5sums", "comments": ["Files differ"], "unified_diff": null}]}]}]}, {"source1": "data.tar.xz", "source2": "data.tar.xz", "unified_diff": null, "details": [{"source1": "data.tar", "source2": "data.tar", "unified_diff": null, "details": [{"source1": "file list", "source2": "file list", "unified_diff": "@@ -1153,15 +1153,15 @@\n -rw-r--r-- 0 root (0) root (0) 7228 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/release_notes/v1.4.1.html\n -rw-r--r-- 0 root (0) root (0) 12937 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/release_notes/v2.0.0.html\n -rw-r--r-- 0 root (0) root (0) 30209 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/release_notes/v2.1.0.html\n -rw-r--r-- 0 root (0) root (0) 7061 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/release_notes/v2.1.1.html\n -rw-r--r-- 0 root (0) root (0) 24808 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/release_notes/v2.2.0.html\n -rw-r--r-- 0 root (0) root (0) 14326 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/release_notes/v2.3.0.html\n -rw-r--r-- 0 root (0) root (0) 6418 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/search.html\n--rw-r--r-- 0 root (0) root (0) 436582 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/searchindex.js\n+-rw-r--r-- 0 root (0) root (0) 436598 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/searchindex.js\n drwxr-xr-x 0 root (0) root (0) 0 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/tutorials/\n -rw-r--r-- 0 root (0) root (0) 8733 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/tutorials/contributing.html\n -rw-r--r-- 0 root (0) root (0) 28427 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/tutorials/contributing_code.html\n -rw-r--r-- 0 root (0) root (0) 26431 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/tutorials/contributing_docs.html\n -rw-r--r-- 0 root (0) root (0) 72185 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/tutorials/dataset_basics.html\n -rw-r--r-- 0 root (0) root (0) 22106 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/tutorials/dicom_json.html\n -rw-r--r-- 0 root (0) root (0) 63483 2022-11-28 16:58:43.000000 ./usr/share/doc/python-pydicom-doc/html/tutorials/filesets.html\n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/image_processing/plot_downsize_image.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/image_processing/plot_downsize_image.rst.txt", "unified_diff": "@@ -168,15 +168,15 @@\n # print the image information given in the dataset\n print('The information of the data set after downsampling: \\n')\n print(ds)\n \n \n .. rst-class:: sphx-glr-timing\n \n- **Total running time of the script:** ( 0 minutes 0.016 seconds)\n+ **Total running time of the script:** ( 0 minutes 0.160 seconds)\n \n \n .. _sphx_glr_download_auto_examples_image_processing_plot_downsize_image.py:\n \n \n .. only :: html\n \n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/image_processing/plot_waveforms.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/image_processing/plot_waveforms.rst.txt", "unified_diff": "@@ -83,15 +83,15 @@\n \n fig.tight_layout(pad=1)\n plt.show()\n \n \n .. rst-class:: sphx-glr-timing\n \n- **Total running time of the script:** ( 0 minutes 0.440 seconds)\n+ **Total running time of the script:** ( 0 minutes 9.559 seconds)\n \n \n .. _sphx_glr_download_auto_examples_image_processing_plot_waveforms.py:\n \n \n .. only :: html\n \n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/image_processing/sg_execution_times.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/image_processing/sg_execution_times.rst.txt", "unified_diff": "@@ -1,16 +1,16 @@\n \n :orphan:\n \n .. _sphx_glr_auto_examples_image_processing_sg_execution_times:\n \n Computation times\n =================\n-**00:00.456** total execution time for **auto_examples_image_processing** files:\n+**00:09.718** total execution time for **auto_examples_image_processing** files:\n \n +----------------------------------------------------------------------------------------------------+-----------+--------+\n-| :ref:`sphx_glr_auto_examples_image_processing_plot_waveforms.py` (``plot_waveforms.py``) | 00:00.440 | 0.0 MB |\n+| :ref:`sphx_glr_auto_examples_image_processing_plot_waveforms.py` (``plot_waveforms.py``) | 00:09.559 | 0.0 MB |\n +----------------------------------------------------------------------------------------------------+-----------+--------+\n-| :ref:`sphx_glr_auto_examples_image_processing_plot_downsize_image.py` (``plot_downsize_image.py``) | 00:00.016 | 0.0 MB |\n+| :ref:`sphx_glr_auto_examples_image_processing_plot_downsize_image.py` (``plot_downsize_image.py``) | 00:00.160 | 0.0 MB |\n +----------------------------------------------------------------------------------------------------+-----------+--------+\n | :ref:`sphx_glr_auto_examples_image_processing_reslice.py` (``reslice.py``) | 00:00.000 | 0.0 MB |\n +----------------------------------------------------------------------------------------------------+-----------+--------+\n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/plot_printing_dataset.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/plot_printing_dataset.rst.txt", "unified_diff": "@@ -161,15 +161,15 @@\n ds = pydicom.dcmread(filename)\n \n myprint(ds)\n \n \n .. rst-class:: sphx-glr-timing\n \n- **Total running time of the script:** ( 0 minutes 0.014 seconds)\n+ **Total running time of the script:** ( 0 minutes 0.070 seconds)\n \n \n .. _sphx_glr_download_auto_examples_input_output_plot_printing_dataset.py:\n \n \n .. only :: html\n \n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/plot_read_dicom.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/plot_read_dicom.rst.txt", "unified_diff": "@@ -94,15 +94,15 @@\n # plot the image using matplotlib\n plt.imshow(ds.pixel_array, cmap=plt.cm.gray)\n plt.show()\n \n \n .. rst-class:: sphx-glr-timing\n \n- **Total running time of the script:** ( 0 minutes 0.198 seconds)\n+ **Total running time of the script:** ( 0 minutes 0.565 seconds)\n \n \n .. _sphx_glr_download_auto_examples_input_output_plot_read_dicom.py:\n \n \n .. only :: html\n \n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/plot_read_dicom_directory.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/plot_read_dicom_directory.rst.txt", "unified_diff": "@@ -172,15 +172,15 @@\n # Optionally read the corresponding SOP Instance\n # instance = dcmread(Path(root_dir) / p)\n # print(instance.PatientName)\n \n \n .. rst-class:: sphx-glr-timing\n \n- **Total running time of the script:** ( 0 minutes 0.038 seconds)\n+ **Total running time of the script:** ( 0 minutes 0.073 seconds)\n \n \n .. _sphx_glr_download_auto_examples_input_output_plot_read_dicom_directory.py:\n \n \n .. only :: html\n \n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/plot_read_fileset.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/plot_read_fileset.rst.txt", "unified_diff": "@@ -101,15 +101,15 @@\n Modality=MR - 3 SOP Instances\n Modality=MR - 7 SOP Instances\n \n Found 7 instances for SeriesInstanceUID=1.3.6.1.4.1.5962.1.1.0.0.0.1196533885.18148.0.118\n Found 0 instances with PhotometricInterpretation='MONOCHROME1' without loading the stored instances and 3 instances with loading\n \n Original File-set still at /build/reproducible-path/pydicom-2.3.1/pydicom/data/test_files/dicomdirtests\n- File-set copied to /tmp/tmp3zhlk0hr and contains the following files:\n+ File-set copied to /tmp/tmpju_k98yb and contains the following files:\n DICOMDIR\n PT000000/ST000000/SE000000/IM000000\n PT000000/ST000000/SE000001/IM000000\n PT000000/ST000000/SE000002/IM000000\n PT000000/ST000001/SE000000/IM000000\n PT000000/ST000001/SE000000/IM000001\n PT000000/ST000001/SE000000/IM000002\n@@ -265,15 +265,15 @@\n for p in sorted(root.glob('**/*')):\n if p.is_file():\n print(f\" {p.relative_to(root)}\")\n \n \n .. rst-class:: sphx-glr-timing\n \n- **Total running time of the script:** ( 0 minutes 0.645 seconds)\n+ **Total running time of the script:** ( 0 minutes 0.999 seconds)\n \n \n .. _sphx_glr_download_auto_examples_input_output_plot_read_fileset.py:\n \n \n .. only :: html\n \n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/plot_read_rtplan.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/plot_read_rtplan.rst.txt", "unified_diff": "@@ -75,15 +75,15 @@\n filename = get_testdata_file('rtplan.dcm')\n dataset = pydicom.dcmread(filename)\n print(list_beams(dataset))\n \n \n .. rst-class:: sphx-glr-timing\n \n- **Total running time of the script:** ( 0 minutes 0.006 seconds)\n+ **Total running time of the script:** ( 0 minutes 0.140 seconds)\n \n \n .. _sphx_glr_download_auto_examples_input_output_plot_read_rtplan.py:\n \n \n .. only :: html\n \n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/plot_write_dicom.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/plot_write_dicom.rst.txt", "unified_diff": "@@ -35,40 +35,40 @@\n \n Out:\n \n .. code-block:: none\n \n Setting file meta information...\n Setting dataset values...\n- Writing test file /tmp/tmp_k5op8c9.dcm\n+ Writing test file /tmp/tmp9fhqf8_w.dcm\n File saved.\n- Writing test file as Big Endian Explicit VR /tmp/tmp83ybzmi0.dcm\n- Load file /tmp/tmp_k5op8c9.dcm ...\n+ Writing test file as Big Endian Explicit VR /tmp/tmp51z4273q.dcm\n+ Load file /tmp/tmp9fhqf8_w.dcm ...\n Dataset.file_meta -------------------------------\n (0002, 0002) Media Storage SOP Class UID UI: CT Image Storage\n (0002, 0003) Media Storage SOP Instance UID UI: 1.2.3\n (0002, 0012) Implementation Class UID UI: 1.2.3.4\n -------------------------------------------------\n- (0008, 0023) Content Date DA: '20250210'\n- (0008, 0033) Content Time TM: '224335.152396'\n+ (0008, 0023) Content Date DA: '20240110'\n+ (0008, 0033) Content Time TM: '184602.861925'\n (0010, 0010) Patient's Name PN: 'Test^Firstname'\n (0010, 0020) Patient ID LO: '123456'\n- Remove file /tmp/tmp_k5op8c9.dcm ...\n- Load file /tmp/tmp83ybzmi0.dcm ...\n+ Remove file /tmp/tmp9fhqf8_w.dcm ...\n+ Load file /tmp/tmp51z4273q.dcm ...\n Dataset.file_meta -------------------------------\n (0002, 0002) Media Storage SOP Class UID UI: CT Image Storage\n (0002, 0003) Media Storage SOP Instance UID UI: 1.2.3\n (0002, 0010) Transfer Syntax UID UI: Explicit VR Big Endian\n (0002, 0012) Implementation Class UID UI: 1.2.3.4\n -------------------------------------------------\n- (0008, 0023) Content Date DA: '20250210'\n- (0008, 0033) Content Time TM: '224335.152396'\n+ (0008, 0023) Content Date DA: '20240110'\n+ (0008, 0033) Content Time TM: '184602.861925'\n (0010, 0010) Patient's Name PN: 'Test^Firstname'\n (0010, 0020) Patient ID LO: '123456'\n- Remove file /tmp/tmp83ybzmi0.dcm ...\n+ Remove file /tmp/tmp51z4273q.dcm ...\n \n \n \n \n \n \n |\n@@ -142,15 +142,15 @@\n # remove the created file\n print('Remove file {} ...'.format(filename))\n os.remove(filename)\n \n \n .. rst-class:: sphx-glr-timing\n \n- **Total running time of the script:** ( 0 minutes 0.014 seconds)\n+ **Total running time of the script:** ( 0 minutes 0.343 seconds)\n \n \n .. _sphx_glr_download_auto_examples_input_output_plot_write_dicom.py:\n \n \n .. only :: html\n \n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/sg_execution_times.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/input_output/sg_execution_times.rst.txt", "unified_diff": "@@ -1,22 +1,22 @@\n \n :orphan:\n \n .. _sphx_glr_auto_examples_input_output_sg_execution_times:\n \n Computation times\n =================\n-**00:00.914** total execution time for **auto_examples_input_output** files:\n+**00:02.189** total execution time for **auto_examples_input_output** files:\n \n +------------------------------------------------------------------------------------------------------------+-----------+--------+\n-| :ref:`sphx_glr_auto_examples_input_output_plot_read_fileset.py` (``plot_read_fileset.py``) | 00:00.645 | 0.0 MB |\n+| :ref:`sphx_glr_auto_examples_input_output_plot_read_fileset.py` (``plot_read_fileset.py``) | 00:00.999 | 0.0 MB |\n +------------------------------------------------------------------------------------------------------------+-----------+--------+\n-| :ref:`sphx_glr_auto_examples_input_output_plot_read_dicom.py` (``plot_read_dicom.py``) | 00:00.198 | 0.0 MB |\n+| :ref:`sphx_glr_auto_examples_input_output_plot_read_dicom.py` (``plot_read_dicom.py``) | 00:00.565 | 0.0 MB |\n +------------------------------------------------------------------------------------------------------------+-----------+--------+\n-| :ref:`sphx_glr_auto_examples_input_output_plot_read_dicom_directory.py` (``plot_read_dicom_directory.py``) | 00:00.038 | 0.0 MB |\n+| :ref:`sphx_glr_auto_examples_input_output_plot_write_dicom.py` (``plot_write_dicom.py``) | 00:00.343 | 0.0 MB |\n +------------------------------------------------------------------------------------------------------------+-----------+--------+\n-| :ref:`sphx_glr_auto_examples_input_output_plot_printing_dataset.py` (``plot_printing_dataset.py``) | 00:00.014 | 0.0 MB |\n+| :ref:`sphx_glr_auto_examples_input_output_plot_read_rtplan.py` (``plot_read_rtplan.py``) | 00:00.140 | 0.0 MB |\n +------------------------------------------------------------------------------------------------------------+-----------+--------+\n-| :ref:`sphx_glr_auto_examples_input_output_plot_write_dicom.py` (``plot_write_dicom.py``) | 00:00.014 | 0.0 MB |\n+| :ref:`sphx_glr_auto_examples_input_output_plot_read_dicom_directory.py` (``plot_read_dicom_directory.py``) | 00:00.073 | 0.0 MB |\n +------------------------------------------------------------------------------------------------------------+-----------+--------+\n-| :ref:`sphx_glr_auto_examples_input_output_plot_read_rtplan.py` (``plot_read_rtplan.py``) | 00:00.006 | 0.0 MB |\n+| :ref:`sphx_glr_auto_examples_input_output_plot_printing_dataset.py` (``plot_printing_dataset.py``) | 00:00.070 | 0.0 MB |\n +------------------------------------------------------------------------------------------------------------+-----------+--------+\n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/metadata_processing/plot_add_dict_entries.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/metadata_processing/plot_add_dict_entries.rst.txt", "unified_diff": "@@ -91,15 +91,15 @@\n ds.TestThree = '1.2.3.4.5'\n \n print(ds.top())\n \n \n .. rst-class:: sphx-glr-timing\n \n- **Total running time of the script:** ( 0 minutes 0.002 seconds)\n+ **Total running time of the script:** ( 0 minutes 0.032 seconds)\n \n \n .. _sphx_glr_download_auto_examples_metadata_processing_plot_add_dict_entries.py:\n \n \n .. only :: html\n \n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/metadata_processing/plot_anonymize.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/metadata_processing/plot_anonymize.rst.txt", "unified_diff": "@@ -227,15 +227,15 @@\n \n \n \n \n \n .. rst-class:: sphx-glr-timing\n \n- **Total running time of the script:** ( 0 minutes 0.021 seconds)\n+ **Total running time of the script:** ( 0 minutes 0.689 seconds)\n \n \n .. _sphx_glr_download_auto_examples_metadata_processing_plot_anonymize.py:\n \n \n .. only :: html\n \n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/metadata_processing/plot_sequences.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/metadata_processing/plot_sequences.rst.txt", "unified_diff": "@@ -79,15 +79,15 @@\n # data element\n beam0.BlockSequence.append(block_ds3)\n del plan_ds.BeamSequence[0].BlockSequence[1]\n \n \n .. rst-class:: sphx-glr-timing\n \n- **Total running time of the script:** ( 0 minutes 0.003 seconds)\n+ **Total running time of the script:** ( 0 minutes 0.078 seconds)\n \n \n .. _sphx_glr_download_auto_examples_metadata_processing_plot_sequences.py:\n \n \n .. only :: html\n \n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/metadata_processing/sg_execution_times.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/metadata_processing/sg_execution_times.rst.txt", "unified_diff": "@@ -1,16 +1,16 @@\n \n :orphan:\n \n .. _sphx_glr_auto_examples_metadata_processing_sg_execution_times:\n \n Computation times\n =================\n-**00:00.027** total execution time for **auto_examples_metadata_processing** files:\n+**00:00.799** total execution time for **auto_examples_metadata_processing** files:\n \n +-----------------------------------------------------------------------------------------------------------+-----------+--------+\n-| :ref:`sphx_glr_auto_examples_metadata_processing_plot_anonymize.py` (``plot_anonymize.py``) | 00:00.021 | 0.0 MB |\n+| :ref:`sphx_glr_auto_examples_metadata_processing_plot_anonymize.py` (``plot_anonymize.py``) | 00:00.689 | 0.0 MB |\n +-----------------------------------------------------------------------------------------------------------+-----------+--------+\n-| :ref:`sphx_glr_auto_examples_metadata_processing_plot_sequences.py` (``plot_sequences.py``) | 00:00.003 | 0.0 MB |\n+| :ref:`sphx_glr_auto_examples_metadata_processing_plot_sequences.py` (``plot_sequences.py``) | 00:00.078 | 0.0 MB |\n +-----------------------------------------------------------------------------------------------------------+-----------+--------+\n-| :ref:`sphx_glr_auto_examples_metadata_processing_plot_add_dict_entries.py` (``plot_add_dict_entries.py``) | 00:00.002 | 0.0 MB |\n+| :ref:`sphx_glr_auto_examples_metadata_processing_plot_add_dict_entries.py` (``plot_add_dict_entries.py``) | 00:00.032 | 0.0 MB |\n +-----------------------------------------------------------------------------------------------------------+-----------+--------+\n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/plot_dicom_difference.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/plot_dicom_difference.rst.txt", "unified_diff": "@@ -747,15 +747,15 @@\n for line in diff.compare(rep[0], rep[1]):\n if line[0] != \"?\":\n print(line)\n \n \n .. rst-class:: sphx-glr-timing\n \n- **Total running time of the script:** ( 0 minutes 0.215 seconds)\n+ **Total running time of the script:** ( 0 minutes 2.307 seconds)\n \n \n .. _sphx_glr_download_auto_examples_plot_dicom_difference.py:\n \n \n .. only :: html\n \n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/sg_execution_times.rst.txt", "source2": "./usr/share/doc/python-pydicom-doc/html/_sources/auto_examples/sg_execution_times.rst.txt", "unified_diff": "@@ -1,18 +1,18 @@\n \n :orphan:\n \n .. _sphx_glr_auto_examples_sg_execution_times:\n \n Computation times\n =================\n-**00:00.215** total execution time for **auto_examples** files:\n+**00:02.307** total execution time for **auto_examples** files:\n \n +---------------------------------------------------------------------------------------+-----------+--------+\n-| :ref:`sphx_glr_auto_examples_plot_dicom_difference.py` (``plot_dicom_difference.py``) | 00:00.215 | 0.0 MB |\n+| :ref:`sphx_glr_auto_examples_plot_dicom_difference.py` (``plot_dicom_difference.py``) | 00:02.307 | 0.0 MB |\n +---------------------------------------------------------------------------------------+-----------+--------+\n | :ref:`sphx_glr_auto_examples_dicomtree.py` (``dicomtree.py``) | 00:00.000 | 0.0 MB |\n +---------------------------------------------------------------------------------------+-----------+--------+\n | :ref:`sphx_glr_auto_examples_memory_dataset.py` (``memory_dataset.py``) | 00:00.000 | 0.0 MB |\n +---------------------------------------------------------------------------------------+-----------+--------+\n | :ref:`sphx_glr_auto_examples_show_charset_name.py` (``show_charset_name.py``) | 00:00.000 | 0.0 MB |\n +---------------------------------------------------------------------------------------+-----------+--------+\n"}, {"source1": "./usr/share/doc/python-pydicom-doc/html/auto_examples/image_processing/plot_downsize_image.html", "source2": "./usr/share/doc/python-pydicom-doc/html/auto_examples/image_processing/plot_downsize_image.html", "unified_diff": "@@ -242,15 +242,15 @@\n ds.Rows, ds.Columns = data_downsampling.shape\n \n # print the image information given in the dataset\n print('The information of the data set after downsampling: \\n')\n print(ds)\n \n \n-

Total running time of the script: ( 0 minutes 0.016 seconds)

\n+

Total running time of the script: ( 0 minutes 0.160 seconds)

\n \n \n-

Total running time of the script: ( 0 minutes 0.440 seconds)

\n+

Total running time of the script: ( 0 minutes 9.559 seconds)

\n \n
\n
\n \n
\n

Computation times\u00b6

\n-

00:00.456 total execution time for auto_examples_image_processing files:

\n+

00:09.718 total execution time for auto_examples_image_processing files:

\n \n \n \n-\n+\n \n \n \n-\n+\n \n \n \n \n \n \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -30,16 +30,16 @@\n * Contributing_to_pydicom\n * Frequently_asked_questions\n * Release_notes\n pydicom\n * Computation times\n ===============================================================================\n ****** Computation times\u00c2\u00b6 ******\n-00:00.456 total execution time for auto_examples_image_processing files:\n-Decode_and_plot_Waveform_Data (plot_waveforms.py) 00:00.440 0.0 MB\n-Downsize_MRI_image_using_pydicom (plot_downsize_image.py) 00:00.016 0.0 MB\n+00:09.718 total execution time for auto_examples_image_processing files:\n+Decode_and_plot_Waveform_Data (plot_waveforms.py) 00:09.559 0.0 MB\n+Downsize_MRI_image_using_pydicom (plot_downsize_image.py) 00:00.160 0.0 MB\n Load_CT_slices_and_plot_axial,_sagittal_and_coronal_images 00:00.000 0.0 MB\n (reslice.py)\n \n ===============================================================================\n \u00a9 Copyright 2008-2022, Darcy Mason and pydicom contributors.\n Built with Sphinx using a theme provided by Read_the_Docs.\n"}]}, {"source1": "./usr/share/doc/python-pydicom-doc/html/auto_examples/input_output/plot_printing_dataset.html", "source2": "./usr/share/doc/python-pydicom-doc/html/auto_examples/input_output/plot_printing_dataset.html", "unified_diff": "@@ -238,15 +238,15 @@\n \n filename=get_testdata_file('MR_small.dcm')\n ds=pydicom.dcmread(filename)\n \n myprint(ds)\n \n \n-

Total running time of the script: ( 0 minutes 0.014 seconds)

\n+

Total running time of the script: ( 0 minutes 0.070 seconds)

\n \n \n-

Total running time of the script: ( 0 minutes 0.198 seconds)

\n+

Total running time of the script: ( 0 minutes 0.565 seconds)

\n \n \n-

Total running time of the script: ( 0 minutes 0.038 seconds)

\n+

Total running time of the script: ( 0 minutes 0.073 seconds)

\n \n \n-

Total running time of the script: ( 0 minutes 0.645 seconds)

\n+

Total running time of the script: ( 0 minutes 0.999 seconds)

\n \n \n-

Total running time of the script: ( 0 minutes 0.006 seconds)

\n+

Total running time of the script: ( 0 minutes 0.140 seconds)

\n

Decode and plot Waveform Data (plot_waveforms.py)

00:00.440

00:09.559

0.0 MB

Downsize MRI image using pydicom (plot_downsize_image.py)

00:00.016

00:00.160

0.0 MB

Load CT slices and plot axial, sagittal and coronal images (reslice.py)

00:00.000

0.0 MB

\n \n \n-\n+\n \n \n \n-\n+\n \n \n-\n-\n+\n+\n \n \n-\n-\n+\n+\n \n \n-\n-\n+\n+\n \n \n-\n-\n+\n+\n \n \n \n

Read a DICOM File-set (plot_read_fileset.py)

00:00.645

00:00.999

0.0 MB

Read a Dataset and plot Pixel Data (plot_read_dicom.py)

00:00.198

00:00.565

0.0 MB

Read a DICOMDIR dataset (plot_read_dicom_directory.py)

00:00.038

Write DICOM data (plot_write_dicom.py)

00:00.343

0.0 MB

Format the output of the data set printing (plot_printing_dataset.py)

00:00.014

Read RTPLAN DICOM and list information (plot_read_rtplan.py)

00:00.140

0.0 MB

Write DICOM data (plot_write_dicom.py)

00:00.014

Read a DICOMDIR dataset (plot_read_dicom_directory.py)

00:00.073

0.0 MB

Read RTPLAN DICOM and list information (plot_read_rtplan.py)

00:00.006

Format the output of the data set printing (plot_printing_dataset.py)

00:00.070

0.0 MB

\n
\n \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -30,19 +30,19 @@\n * Contributing_to_pydicom\n * Frequently_asked_questions\n * Release_notes\n pydicom\n * Computation times\n ===============================================================================\n ****** Computation times\u00c2\u00b6 ******\n-00:00.914 total execution time for auto_examples_input_output files:\n-Read_a_DICOM_File-set (plot_read_fileset.py) 00:00.645 0.0 MB\n-Read_a_Dataset_and_plot_Pixel_Data (plot_read_dicom.py) 00:00.198 0.0 MB\n-Read_a_DICOMDIR_dataset (plot_read_dicom_directory.py) 00:00.038 0.0 MB\n-Format_the_output_of_the_data_set_printing 00:00.014 0.0 MB\n+00:02.189 total execution time for auto_examples_input_output files:\n+Read_a_DICOM_File-set (plot_read_fileset.py) 00:00.999 0.0 MB\n+Read_a_Dataset_and_plot_Pixel_Data (plot_read_dicom.py) 00:00.565 0.0 MB\n+Write_DICOM_data (plot_write_dicom.py) 00:00.343 0.0 MB\n+Read_RTPLAN_DICOM_and_list_information (plot_read_rtplan.py) 00:00.140 0.0 MB\n+Read_a_DICOMDIR_dataset (plot_read_dicom_directory.py) 00:00.073 0.0 MB\n+Format_the_output_of_the_data_set_printing 00:00.070 0.0 MB\n (plot_printing_dataset.py)\n-Write_DICOM_data (plot_write_dicom.py) 00:00.014 0.0 MB\n-Read_RTPLAN_DICOM_and_list_information (plot_read_rtplan.py) 00:00.006 0.0 MB\n \n ===============================================================================\n \u00a9 Copyright 2008-2022, Darcy Mason and pydicom contributors.\n Built with Sphinx using a theme provided by Read_the_Docs.\n"}]}, {"source1": "./usr/share/doc/python-pydicom-doc/html/auto_examples/metadata_processing/plot_add_dict_entries.html", "source2": "./usr/share/doc/python-pydicom-doc/html/auto_examples/metadata_processing/plot_add_dict_entries.html", "unified_diff": "@@ -165,15 +165,15 @@\n ds.TestOne = 42\n ds.TestTwo = '12345'\n ds.TestThree = '1.2.3.4.5'\n \n print(ds.top())\n
\n
\n-

Total running time of the script: ( 0 minutes 0.002 seconds)

\n+

Total running time of the script: ( 0 minutes 0.032 seconds)

\n \n \n

Out:

\n
(0010, 0020) Patient ID                          LO: 'id'\n (0010, 0030) Patient's Birth Date                DA: '19000101'\n 
\n
\n-

Total running time of the script: ( 0 minutes 0.021 seconds)

\n+

Total running time of the script: ( 0 minutes 0.689 seconds)

\n \n \n-

Total running time of the script: ( 0 minutes 0.003 seconds)

\n+

Total running time of the script: ( 0 minutes 0.078 seconds)

\n \n
\n
\n \n
\n

Computation times\u00b6

\n-

00:00.027 total execution time for auto_examples_metadata_processing files:

\n+

00:00.799 total execution time for auto_examples_metadata_processing files:

\n \n \n \n-\n+\n \n \n \n-\n+\n \n \n \n-\n+\n \n \n \n

Anonymize DICOM data (plot_anonymize.py)

00:00.021

00:00.689

0.0 MB

Working with sequences (plot_sequences.py)

00:00.003

00:00.078

0.0 MB

Add dictionary items in the standard DICOM dictionary (plot_add_dict_entries.py)

00:00.002

00:00.032

0.0 MB

\n
\n \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -30,16 +30,16 @@\n * Contributing_to_pydicom\n * Frequently_asked_questions\n * Release_notes\n pydicom\n * Computation times\n ===============================================================================\n ****** Computation times\u00c2\u00b6 ******\n-00:00.027 total execution time for auto_examples_metadata_processing files:\n-Anonymize_DICOM_data (plot_anonymize.py) 00:00.021 0.0 MB\n-Working_with_sequences (plot_sequences.py) 00:00.003 0.0 MB\n-Add_dictionary_items_in_the_standard_DICOM_dictionary 00:00.002 0.0 MB\n+00:00.799 total execution time for auto_examples_metadata_processing files:\n+Anonymize_DICOM_data (plot_anonymize.py) 00:00.689 0.0 MB\n+Working_with_sequences (plot_sequences.py) 00:00.078 0.0 MB\n+Add_dictionary_items_in_the_standard_DICOM_dictionary 00:00.032 0.0 MB\n (plot_add_dict_entries.py)\n \n ===============================================================================\n \u00a9 Copyright 2008-2022, Darcy Mason and pydicom contributors.\n Built with Sphinx using a theme provided by Read_the_Docs.\n"}]}, {"source1": "./usr/share/doc/python-pydicom-doc/html/auto_examples/plot_dicom_difference.html", "source2": "./usr/share/doc/python-pydicom-doc/html/auto_examples/plot_dicom_difference.html", "unified_diff": "@@ -821,15 +821,15 @@\n \n diff = difflib.Differ()\n for line in diff.compare(rep[0], rep[1]):\n if line[0] != "?":\n print(line)\n
\n
\n-

Total running time of the script: ( 0 minutes 0.215 seconds)

\n+

Total running time of the script: ( 0 minutes 2.307 seconds)

\n \n
\n
\n \n
\n

Computation times\u00b6

\n-

00:00.215 total execution time for auto_examples files:

\n+

00:02.307 total execution time for auto_examples files:

\n \n \n \n-\n+\n \n \n \n \n \n \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -30,16 +30,16 @@\n * Contributing_to_pydicom\n * Frequently_asked_questions\n * Release_notes\n pydicom\n * Computation times\n ===============================================================================\n ****** Computation times\u00c2\u00b6 ******\n-00:00.215 total execution time for auto_examples files:\n-Analyse_differences_between_DICOM_files 00:00.215 0.0 MB\n+00:02.307 total execution time for auto_examples files:\n+Analyse_differences_between_DICOM_files 00:02.307 0.0 MB\n (plot_dicom_difference.py)\n Show_a_dicom_file_using_hierarchical_tree (dicomtree.py) 00:00.000 0.0 MB\n Show_working_with_memory-based_dataset (memory_dataset.py) 00:00.000 0.0 MB\n Display_unicode_person_names (show_charset_name.py) 00:00.000 0.0 MB\n \n ===============================================================================\n \u00a9 Copyright 2008-2022, Darcy Mason and pydicom contributors.\n"}]}, {"source1": "./usr/share/doc/python-pydicom-doc/html/searchindex.js", "source2": "./usr/share/doc/python-pydicom-doc/html/searchindex.js", "unified_diff": null, "details": [{"source1": "js-beautify {}", "source2": "js-beautify {}", "unified_diff": "@@ -447,15 +447,15 @@\n \"back\": [1, 13, 18, 31, 34, 38, 47, 48, 50, 497, 498, 499, 501],\n \"origin\": [1, 9, 18, 22, 24, 26, 32, 39, 40, 41, 47, 50, 86, 129, 159, 168, 179, 212, 434, 437, 438, 440, 442, 497, 498, 499, 504, 507],\n \"pixeldata\": [1, 31, 36, 39, 48, 50, 135, 137, 138, 216, 476, 488, 489, 504],\n \"tobyt\": [1, 48, 507],\n \"updat\": [1, 9, 14, 16, 18, 24, 25, 31, 45, 47, 106, 107, 108, 109, 129, 166, 168, 177, 178, 179, 192, 476, 478, 479, 481, 482, 484, 485, 486, 487, 489, 491, 492, 494, 495, 497, 498, 501, 503, 504, 506],\n \"regard\": 1,\n \"given\": [1, 10, 22, 24, 25, 26, 27, 40, 48, 49, 74, 76, 126, 127, 129, 132, 134, 157, 159, 166, 168, 179, 202, 212, 214, 215, 216, 437, 438, 442, 462, 468, 476, 491, 494, 499, 501, 503, 504, 506, 507],\n- \"016\": [1, 4],\n+ \"160\": [1, 4],\n \"plot_downsize_imag\": [1, 4],\n \"illustr\": [2, 3, 5, 6, 7, 14, 16, 18, 35, 36],\n \"us\": [2, 4, 5, 7, 9, 11, 14, 15, 18, 19, 22, 23, 24, 25, 26, 27, 29, 31, 32, 34, 35, 36, 37, 40, 41, 42, 44, 45, 47, 48, 49, 65, 74, 75, 76, 77, 81, 82, 85, 91, 92, 93, 94, 95, 99, 100, 104, 107, 109, 126, 127, 129, 130, 134, 137, 138, 140, 148, 150, 153, 155, 157, 158, 160, 161, 162, 166, 168, 169, 170, 176, 177, 178, 179, 194, 195, 196, 201, 202, 203, 204, 205, 210, 211, 212, 213, 214, 215, 216, 217, 220, 222, 434, 437, 442, 446, 448, 449, 450, 451, 452, 453, 456, 457, 458, 459, 461, 462, 463, 464, 466, 467, 468, 476, 477, 478, 479, 480, 482, 483, 484, 485, 486, 487, 488, 489, 491, 492, 494, 495, 496, 497, 498, 499, 500, 501, 505, 507],\n \"matplotlib\": [2, 3, 7, 42, 507],\n \"np\": [2, 3, 202, 203, 204, 205, 206, 207, 208, 212, 214, 215, 216, 468, 504, 507],\n \"pyplot\": [2, 3, 7, 46, 507],\n \"plt\": [2, 3, 7, 46, 507],\n@@ -502,15 +502,16 @@\n \"descript\": [2, 14, 18, 23, 24, 25, 28, 35, 36, 38, 41, 106, 107, 108, 109, 112, 122, 126, 132, 476, 477, 478, 491, 495],\n \"ch_sourc\": 2,\n \"channelsourcesequ\": [2, 507],\n \"set_titl\": 2,\n \"set_xlabel\": 2,\n \"set_ylabel\": [2, 507],\n \"tight_layout\": 2,\n- \"440\": [2, 4],\n+ \"9\": [2, 11, 18, 21, 24, 25, 31, 36, 45, 48, 49, 78, 170, 171, 202, 226, 227, 231, 233, 242, 271, 272, 290, 291, 298, 343, 364, 365, 374, 389, 392, 397, 409, 423, 486, 489, 492, 507],\n+ \"559\": [2, 4],\n \"plot_waveform\": [2, 4],\n \"multipl\": [3, 27, 29, 32, 36, 47, 48, 75, 107, 109, 110, 120, 126, 129, 140, 142, 143, 148, 206, 207, 208, 209, 216, 217, 442, 462, 476, 489, 495, 499],\n \"sort\": [3, 9, 129, 501],\n \"them\": [3, 6, 22, 24, 25, 26, 29, 34, 35, 36, 40, 41, 47, 50, 129, 179, 451, 453, 476, 484, 488, 492, 498, 499, 501, 506],\n \"build\": [3, 7, 8, 9, 94, 95, 134, 476, 485, 497],\n \"reslic\": [3, 4],\n \"differ\": [3, 5, 11, 15, 19, 23, 24, 26, 27, 31, 35, 41, 45, 48, 476, 479, 491, 497, 498, 499, 500, 501, 506],\n@@ -551,15 +552,16 @@\n \"a1\": 3,\n \"imshow\": [3, 7, 46],\n \"set_aspect\": 3,\n \"a2\": 3,\n \"a3\": 3,\n \"t\": [3, 6, 9, 11, 16, 18, 24, 25, 26, 27, 32, 34, 36, 45, 47, 50, 81, 129, 140, 148, 158, 168, 202, 209, 212, 215, 216, 410, 434, 476, 488, 491, 492, 497, 498, 499, 500, 501, 504],\n \"00\": [4, 12, 17, 19, 143],\n- \"456\": 4,\n+ \"09\": 4,\n+ \"718\": [4, 18],\n \"execut\": [4, 12, 17, 19, 442, 497, 506],\n \"auto_examples_image_process\": 4,\n \"plot\": [4, 5, 12, 476, 488, 507],\n \"waveform\": [4, 5, 35, 42, 129, 166, 469, 473, 476, 492, 502],\n \"mb\": [4, 12, 17, 19, 157, 468],\n \"downsiz\": [4, 5, 48],\n \"mri\": [4, 5, 48],\n@@ -608,15 +610,15 @@\n \"dont_print\": 6,\n \"indent_str\": 6,\n \"next_indent_str\": 6,\n \"sequence_item\": 6,\n \"repr_valu\": 6,\n \"repr\": [6, 36, 98, 476, 491],\n \"50\": [6, 40, 48, 49, 140, 216, 225, 311, 318, 336, 410],\n- \"014\": [6, 11, 12],\n+ \"070\": [6, 12],\n \"plot_printing_dataset\": [6, 12],\n \"some\": [7, 11, 13, 15, 24, 26, 34, 36, 37, 41, 43, 45, 46, 47, 48, 49, 50, 52, 73, 86, 97, 129, 130, 134, 148, 162, 179, 437, 438, 446, 476, 477, 478, 480, 482, 485, 486, 498, 499, 500, 501, 503, 505, 506],\n \"path\": [7, 8, 9, 22, 24, 25, 26, 29, 34, 39, 40, 44, 94, 95, 102, 103, 104, 105, 130, 134, 148, 157, 160, 167, 168, 171, 199, 476, 492, 497, 498, 499, 501, 504, 506],\n \"reproduc\": [7, 8, 9, 94, 95, 497],\n \"test_fil\": [7, 8, 9, 22, 24, 498, 499, 501],\n \"ct_small\": [7, 9, 18, 24, 26, 31, 36, 39, 41, 46, 48, 129, 157, 168, 498, 499, 500, 501, 504],\n \"ct1\": [7, 18, 24, 26, 498, 499],\n@@ -639,15 +641,15 @@\n \"exist\": [7, 29, 31, 34, 36, 37, 45, 50, 107, 129, 159, 168, 179, 192, 496, 497, 498, 504],\n \"want\": [7, 9, 13, 22, 23, 24, 37, 50, 170, 497, 498, 499, 500, 501, 503, 506],\n \"default\": [7, 22, 24, 27, 29, 37, 40, 46, 47, 48, 52, 73, 77, 78, 79, 81, 82, 85, 86, 87, 88, 89, 90, 91, 93, 96, 98, 99, 100, 101, 102, 103, 104, 105, 107, 126, 129, 130, 133, 134, 137, 139, 145, 148, 155, 157, 158, 160, 168, 170, 179, 192, 202, 206, 207, 208, 209, 212, 214, 215, 216, 434, 441, 442, 451, 453, 457, 468, 476, 480, 482, 483, 485, 487, 488, 489, 490, 491, 492, 494, 498, 499, 500, 501, 504, 506],\n \"miss\": [7, 14, 29, 45, 104, 129, 133, 148, 157, 163, 177, 179, 192, 202, 203, 212, 214, 215, 216, 476, 484, 485, 488, 489, 495, 497, 499, 501, 503],\n \"cmap\": [7, 46],\n \"cm\": [7, 10, 46],\n \"grai\": 7,\n- \"198\": [7, 12],\n+ \"565\": [7, 12],\n \"plot_read_dicom\": [7, 12],\n \"fileset\": [8, 9, 134, 157, 473, 476, 492, 494, 495],\n \"much\": [8, 36, 45, 446, 476, 479, 482, 483, 491],\n \"better\": [8, 34, 476, 480, 482, 486],\n \"wai\": [8, 36, 37, 38, 44, 45, 47, 48, 50, 129, 476, 482, 496, 499, 500, 501, 503, 505],\n \"allow\": [8, 15, 22, 24, 25, 29, 32, 36, 37, 41, 45, 47, 52, 85, 129, 131, 166, 168, 216, 476, 478, 479, 488, 491, 492, 494, 495, 497, 503, 506],\n \"modif\": [8, 130, 497, 499, 501],\n@@ -744,15 +746,15 @@\n \"referencedfileid\": 8,\n \"make\": [8, 21, 32, 36, 37, 38, 41, 43, 45, 50, 129, 130, 434, 446, 476, 479, 488, 494, 499, 501, 503, 506],\n \"alwai\": [8, 24, 26, 40, 48, 118, 126, 132, 157, 212, 216, 476, 488, 492, 494],\n \"ee\": 8,\n \"vm\": [8, 14, 27, 36, 59, 106, 107, 108, 109, 110, 116, 117, 120, 126, 476, 480, 488, 491, 499],\n \"fspath\": 8,\n \"correspond\": [8, 9, 15, 29, 31, 34, 36, 47, 48, 49, 73, 104, 110, 111, 112, 113, 114, 115, 117, 118, 119, 120, 121, 122, 123, 125, 126, 129, 132, 137, 138, 148, 149, 159, 167, 168, 169, 202, 203, 216, 220, 468, 476, 494, 497, 498, 501, 504, 507],\n- \"038\": [8, 12],\n+ \"073\": [8, 12],\n \"plot_read_dicom_directori\": [8, 12],\n \"interact\": [9, 36, 38, 41, 129, 501],\n \"pydicom_test\": [9, 501],\n \"276\": [9, 501],\n \"7230010\": [9, 501],\n \"31906\": [9, 501],\n \"1359940846\": [9, 501],\n@@ -774,15 +776,15 @@\n \"18148\": 9,\n \"118\": 9,\n \"photometricinterpret\": [9, 31, 39, 212, 214, 216, 501, 504],\n \"monochrome1\": [9, 31, 32, 212, 214, 501],\n \"without\": [9, 36, 40, 49, 104, 129, 150, 161, 174, 216, 448, 459, 461, 462, 476, 478, 486, 488, 492, 495, 499, 501, 503, 506],\n \"still\": [9, 39, 41, 476, 482, 483, 485, 486, 487, 489, 497, 499, 500, 501, 504],\n \"tmp\": [9, 11, 501],\n- \"tmp3zhlk0hr\": 9,\n+ \"tmpju_k98yb\": 9,\n \"follow\": [9, 23, 24, 25, 26, 29, 32, 34, 36, 37, 39, 40, 43, 45, 48, 126, 129, 133, 140, 141, 143, 148, 168, 176, 179, 192, 215, 442, 476, 489, 492, 494, 497, 498, 499, 501, 505, 506, 507],\n \"pt000000\": [9, 501],\n \"st000000\": [9, 501],\n \"se000000\": [9, 501],\n \"im000000\": [9, 501],\n \"se000001\": [9, 501],\n \"se000002\": [9, 501],\n@@ -881,15 +883,15 @@\n \"new_fileset\": 9,\n \"norigin\": 9,\n \"note\": [9, 14, 16, 22, 24, 25, 26, 34, 37, 39, 40, 46, 79, 90, 107, 109, 129, 132, 139, 140, 144, 145, 157, 162, 163, 175, 185, 201, 204, 205, 207, 208, 216, 435, 437, 438, 439, 442, 444, 446, 479, 498, 499, 500, 504, 505, 507],\n \"layout\": [9, 168],\n \"been\": [9, 23, 24, 32, 39, 40, 41, 45, 48, 79, 86, 88, 129, 137, 138, 140, 141, 159, 167, 168, 179, 192, 216, 436, 476, 479, 486, 491, 494, 495, 497, 498, 499, 500],\n \"is_fil\": [9, 501],\n \"relative_to\": 9,\n- \"645\": [9, 12],\n+ \"999\": [9, 12, 24, 25, 36, 476, 489],\n \"plot_read_fileset\": [9, 12],\n \"basic\": [10, 24, 25, 26, 35, 39, 46, 49, 50, 68, 129, 137, 138, 140, 141, 142, 143, 476, 489, 501, 502, 504, 507],\n \"info\": [10, 18, 129, 154, 155, 158, 162, 174, 175, 176, 410, 476, 479, 480, 482, 484],\n \"beam\": [10, 16, 22, 24, 25, 26, 45, 476, 482],\n \"gantri\": [10, 18, 24, 26],\n \"ssd\": 10,\n \"field\": [10, 18, 24, 26, 36, 87, 126, 128, 141, 476, 494],\n@@ -908,30 +910,30 @@\n \"sourcetosurfacedist\": 10,\n \"beamnam\": [10, 16, 36],\n \"beamnumb\": [10, 22, 24, 25, 26],\n \"8d\": 10,\n \"1f\": 10,\n \"gantryangl\": 10,\n \"join\": [10, 38],\n- \"006\": [10, 12],\n+ \"140\": [10, 12],\n \"plot_read_rtplan\": [10, 12],\n \"scratch\": [11, 16, 42, 476, 480, 481, 494, 497, 504],\n \"produc\": [11, 22, 24, 34, 48, 50, 179, 476, 484, 489, 494, 506],\n \"compliant\": [11, 50, 476, 485],\n \"written\": [11, 22, 24, 27, 37, 38, 44, 47, 48, 129, 168, 179, 191, 192, 476, 488, 489, 497, 499, 501],\n \"have\": [11, 13, 23, 24, 25, 26, 27, 31, 32, 34, 36, 37, 39, 40, 41, 45, 47, 50, 94, 95, 126, 129, 137, 138, 141, 143, 148, 157, 161, 168, 179, 192, 202, 212, 214, 215, 216, 448, 459, 468, 476, 482, 485, 487, 488, 491, 495, 496, 497, 498, 499, 500, 501, 503, 504, 506, 507],\n \"valid\": [11, 42, 50, 52, 80, 83, 84, 86, 126, 129, 131, 133, 148, 157, 171, 179, 192, 209, 216, 217, 364, 365, 410, 441, 446, 447, 451, 453, 462, 463, 466, 476, 494, 495],\n- \"tmp_k5op8c9\": 11,\n+ \"tmp9fhqf8_w\": 11,\n \"save\": [11, 13, 22, 24, 38, 39, 47, 48, 476, 479, 482, 498, 499, 500, 504, 507],\n \"big\": [11, 28, 29, 40, 129, 130, 134, 154, 212, 215, 225, 507],\n- \"tmp83ybzmi0\": 11,\n- \"20250210\": 11,\n+ \"tmp51z4273q\": 11,\n+ \"20240110\": 11,\n \"0033\": [11, 18],\n- \"224335\": 11,\n- \"152396\": 11,\n+ \"184602\": 11,\n+ \"861925\": 11,\n \"firstnam\": 11,\n \"123456\": 11,\n \"datetim\": [11, 90, 435, 439, 444],\n \"filedataset\": [11, 44, 104, 129, 134, 157, 162, 179, 473, 476, 479, 481, 494, 495, 499, 501],\n \"filemetadataset\": [11, 22, 24, 130, 133, 134, 161, 192, 473, 476, 491, 499],\n \"temporari\": [11, 167, 501],\n \"suffix\": [11, 170, 434, 442],\n@@ -956,22 +958,23 @@\n \"timestr\": 11,\n \"long\": [11, 27, 154, 175, 179, 499, 506],\n \"micro\": 11,\n \"contenttim\": 11,\n \"save_a\": [11, 15, 22, 24, 38, 39, 44, 45, 47, 48, 129, 179, 476, 478, 491, 499, 504, 507],\n \"shouldn\": 11,\n \"need\": [11, 23, 24, 25, 31, 32, 34, 36, 37, 40, 41, 44, 45, 49, 50, 74, 76, 90, 95, 129, 154, 155, 162, 463, 466, 476, 479, 494, 497, 498, 499, 500, 501, 503, 504, 506, 507],\n- \"9\": [11, 18, 21, 24, 25, 31, 36, 45, 48, 49, 78, 170, 171, 202, 226, 227, 231, 233, 242, 271, 272, 290, 291, 298, 343, 364, 365, 374, 389, 392, 397, 409, 423, 486, 489, 492, 507],\n \"bug\": [11, 38, 480, 484, 488, 491, 494, 496, 497, 503],\n \"recogn\": 11,\n \"transfersyntaxuid\": [11, 39, 40, 45, 129, 167, 179, 476, 478, 485, 499, 504],\n \"explicitvrbigendian\": 11,\n \"reopen\": 11,\n+ \"343\": [11, 12],\n \"plot_write_dicom\": [11, 12],\n- \"914\": [12, 36],\n+ \"02\": [12, 19],\n+ \"189\": 12,\n \"auto_examples_input_output\": 12,\n \"output\": [12, 18, 22, 24, 25, 34, 40, 48, 50, 204, 205, 216, 476, 489, 491, 497, 498, 499, 501, 506],\n \"byte\": [13, 22, 24, 27, 28, 29, 36, 39, 47, 48, 49, 50, 74, 75, 76, 86, 87, 109, 126, 128, 129, 130, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 148, 153, 154, 156, 157, 158, 159, 160, 161, 163, 173, 174, 175, 176, 177, 178, 179, 184, 185, 189, 192, 200, 202, 215, 216, 442, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 476, 487, 488, 489, 494, 499, 501, 504, 507],\n \"help\": [13, 22, 23, 24, 25, 26, 37, 41, 45, 158, 476, 479, 487, 494, 496, 497, 498],\n \"blob\": 13,\n \"databas\": 13,\n \"io\": [13, 130, 134, 473, 499],\n@@ -1036,15 +1039,15 @@\n \"testthre\": 14,\n \"revers\": [14, 169, 476, 489],\n \"map\": [14, 48, 126, 129, 166, 498],\n \"new_names_dict\": 14,\n \"dict\": [14, 29, 36, 89, 94, 106, 108, 126, 129, 130, 131, 148, 166, 168, 202, 216, 476, 479, 494],\n \"val\": [14, 154, 180, 201, 217, 410, 436, 437, 438, 440, 441, 442, 446, 499],\n \"etc\": [14, 15, 16, 34, 36, 38, 46, 48, 126, 129, 202, 476, 477, 483, 494, 497, 501, 504],\n- \"002\": [14, 17],\n+ \"032\": [14, 17],\n \"plot_add_dict_entri\": [14, 17],\n \"point\": [15, 22, 23, 24, 25, 26, 27, 46, 50, 176, 212, 216, 446, 476, 478, 483, 494, 497, 499, 505],\n \"It\": [15, 24, 25, 35, 36, 37, 38, 39, 44, 46, 48, 50, 129, 141, 168, 179, 476, 482, 483, 497, 498, 499, 500, 501, 504, 507],\n \"curv\": [15, 507],\n \"patientbirthd\": [15, 36],\n \"de\": [15, 50],\n \"callback\": [15, 23, 24, 129, 476, 485],\n@@ -1064,15 +1067,15 @@\n \"otherpatientid\": [15, 476, 478],\n \"otherpatientidssequ\": [15, 499],\n \"For\": [15, 22, 24, 25, 29, 31, 32, 34, 36, 37, 39, 47, 48, 50, 118, 126, 129, 137, 140, 141, 143, 148, 166, 168, 179, 202, 216, 442, 476, 482, 492, 497, 498, 499, 501, 503, 504],\n \"possibl\": [15, 32, 36, 37, 43, 48, 90, 126, 129, 166, 177, 178, 215, 216, 446, 476, 485, 487, 488, 489, 494, 500, 501, 505],\n \"assign\": [15, 36, 126, 476, 482, 489, 495],\n \"19000101\": 15,\n \"output_filenam\": 15,\n- \"021\": [15, 17],\n+ \"689\": [15, 17, 476, 487],\n \"plot_anonym\": [15, 17],\n \"block\": [16, 18, 24, 25, 26, 41, 129, 132, 476, 491, 498],\n \"300a\": [16, 24, 25, 26, 38],\n \"00f8\": 16,\n \"apertur\": 16,\n \"00fe\": 16,\n \"block1\": 16,\n@@ -1089,17 +1092,17 @@\n \"did\": [16, 476, 477],\n \"blocksequ\": 16,\n \"numberofblock\": 16,\n \"beam0\": 16,\n \"block_ds3\": 16,\n \"abov\": [16, 22, 23, 24, 25, 26, 36, 41, 47, 50, 126, 129, 202, 476, 486, 498, 501, 506],\n \"forget\": [16, 50],\n- \"003\": [16, 17],\n+ \"078\": [16, 17],\n \"plot_sequ\": [16, 17],\n- \"027\": 17,\n+ \"799\": [17, 476, 488],\n \"auto_examples_metadata_process\": 17,\n \"192\": [18, 24, 26, 41, 499],\n \"20040119072730\": [18, 24, 26, 41, 499, 501],\n \"12322\": [18, 24, 26, 41, 499, 501],\n \"0005\": [18, 24, 26, 41, 73, 74, 75, 76, 129, 157, 158, 468, 476, 477, 499, 500, 501],\n \"primari\": [18, 24, 26, 41, 499],\n \"072731\": [18, 24, 26, 499],\n@@ -1252,15 +1255,14 @@\n \"off\": [18, 24, 25, 37, 45, 91, 158, 476, 483, 491, 498],\n \"3994\": 18,\n \"299316\": 18,\n \"102c\": 18,\n \"trigger\": [18, 24, 26],\n \"10431\": 18,\n \"102e\": 18,\n- \"718\": 18,\n \"079956\": 18,\n \"102f\": 18,\n \"984\": 18,\n \"1039\": [18, 501],\n \"sfov\": 18,\n \"stat\": [18, 159],\n \"recon\": 18,\n@@ -1496,15 +1498,15 @@\n \"termin\": [18, 24, 25, 26, 37, 141, 158, 172],\n \"newlin\": [18, 499],\n \"massag\": 18,\n \"form\": [18, 32, 45, 47, 48, 49, 106, 108, 110, 111, 112, 113, 114, 115, 116, 117, 118, 120, 121, 122, 126, 129, 130, 134, 220, 434, 442],\n \"rep\": 18,\n \"split\": [18, 45, 441, 476, 477, 478],\n \"diff\": [18, 497],\n- \"215\": [18, 19],\n+ \"307\": [18, 19],\n \"plot_dicom_differ\": [18, 19],\n \"auto_exampl\": 19,\n \"show_charset_nam\": [19, 20],\n \"veri\": [20, 27, 43, 476, 479, 497, 501, 504],\n \"simpl\": [20, 36, 38, 46, 476, 477],\n \"app\": 20,\n \"valuerep\": [20, 57, 450, 452, 456, 458, 473],\n@@ -1727,15 +1729,14 @@\n \"request\": [23, 24, 26, 36, 476, 492, 494, 496],\n \"v2\": [24, 25, 31, 43, 476, 492, 503, 507],\n \"offer\": [24, 25, 39, 48, 129, 504],\n \"explor\": [24, 25, 41],\n \"156\": [24, 25, 36],\n \"rt\": [24, 25, 26, 36, 166, 168, 501],\n \"plan\": [24, 25, 26, 36, 38, 43, 166],\n- \"999\": [24, 25, 36, 476, 489],\n \"99\": [24, 25, 36, 40, 212, 225, 260, 413],\n \"9999\": [24, 25, 36, 498],\n \"implicit\": [24, 25, 36, 40, 86, 129, 130, 134, 155, 158, 168, 179, 212, 410, 457, 476, 479, 486, 488, 494, 504],\n \"888\": [24, 25, 36],\n \"88\": [24, 25, 36, 223, 230, 243, 244, 248, 249, 282, 286, 289, 301, 320, 336, 357, 358, 359, 361, 386, 396, 432, 476, 480],\n \"replic\": [24, 25],\n \"exactli\": [24, 25, 47, 49, 499],\n@@ -2136,14 +2137,15 @@\n \"235\": 36,\n \"906\": 36,\n \"910\": 36,\n \"923\": 36,\n \"922\": 36,\n \"929\": 36,\n \"927\": 36,\n+ \"914\": 36,\n \"954\": 36,\n \"938\": 36,\n \"942\": [36, 476, 489],\n \"925\": [36, 499],\n \"905\": [36, 48],\n \"959\": 36,\n \"916\": [36, 476, 479],\n@@ -3565,15 +3567,14 @@\n \"789\": [476, 488],\n \"image_handl\": [476, 487, 488],\n \"deferreddatael\": [476, 487, 488],\n \"760\": [476, 488],\n \"isstringorstringlist\": [476, 488],\n \"isstr\": [476, 488],\n \"666\": [476, 488],\n- \"799\": [476, 488],\n \"gzip\": [476, 482, 488],\n \"753\": [476, 488],\n \"730\": [476, 488],\n \"820\": [476, 488],\n \"864\": [476, 488],\n \"819\": [476, 488],\n \"850\": [476, 488],\n@@ -3612,15 +3613,14 @@\n \"jpeglosslessp14\": [476, 487],\n \"713\": [476, 487],\n \"small\": [476, 479, 485, 487, 496, 503],\n \"729\": [476, 487],\n \"unus\": [476, 487],\n \"660\": [476, 487],\n \"682\": [476, 487],\n- \"689\": [476, 487],\n \"jpeg2k\": [476, 487],\n \"663\": [476, 487],\n \"728\": [476, 487],\n \"704\": [476, 487],\n \"707\": [476, 487],\n \"consumpt\": [476, 487],\n \"717\": [476, 487],\n"}]}]}]}]}]}

Analyse differences between DICOM files (plot_dicom_difference.py)

00:00.215

00:02.307

0.0 MB

Show a dicom file using hierarchical tree (dicomtree.py)

00:00.000

0.0 MB

Show working with memory-based dataset (memory_dataset.py)