Merge pull request #268 from DimitriPapadopoulos/http

http:// → https://

Author: CPBridge

README.md

@@ -34,6 +34,6 @@ If you use highdicom in your research, please cite the above article.
 The developers gratefully acknowledge their support:
 * The [Alliance for Digital Pathology](https://digitalpathologyalliance.org/)
 * The [MGH & BWH Center for Clinical Data Science](https://www.ccds.io/)
-* [Quantitative Image Informatics for Cancer Research (QIICR)](http://qiicr.org)
-* [Radiomics](http://radiomics.io)
+* [Quantitative Image Informatics for Cancer Research (QIICR)](https://qiicr.org/)
+* [Radiomics](https://www.radiomics.io/)
 * The [NCI Imaging Data Commons](https://imaging.datacommons.cancer.gov/)

docs/coding.rst

@@ -34,9 +34,9 @@ Examples of widely used medical terminologies include:
   terminology. This terminology is defined within the DICOM standard itself and
   is used to refer to DICOM concepts, as well as other concepts
   within the radiology workflow.
-- `SNOMED-CT <http://snomed.info/sct>`_. This terminology contains codes to
+- `SNOMED-CT <https://www.snomed.org/>`_. This terminology contains codes to
   describe medical concepts including anatomy, diseases, and procedures.
-- `RadLex <http://www.radlex.org/>`_. A standardized terminology for concepts
+- `RadLex <https://radlex.org/>`_. A standardized terminology for concepts
   in radiology.
 - `UCUM <https://ucum.org/>`_. A terminology specifically to describe units of
   measurement.

docs/development.rst

@@ -31,7 +31,7 @@ Coding style
 ------------
 
 Code must comply with `PEP 8 <https://www.python.org/dev/peps/pep-0008/>`_.
-The `flake8 <http://flake8.pycqa.org/en/latest/>`_ package is used to enforce compliance.
+The `flake8 <https://flake8.pycqa.org/en/latest/>`_ package is used to enforce compliance.
 
 The project uses `numpydoc <https://github.com/numpy/numpydoc/>`_ for documenting code according to `PEP 257 <https://www.python.org/dev/peps/pep-0257/>`_ docstring conventions.
 Further information and examples for the NumPy style can be found at the `NumPy Github repository <https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt>`_ and the website of the `Napoleon sphinx extension <https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_numpy.html#example-numpy>`_.
@@ -46,7 +46,7 @@ Types must be specified using type hints as specified by `PEP 484 <https://www.p
 Running tests
 -------------
 
-The project uses `pytest <http://doc.pytest.org/en/latest/>`_ to write and runs unit tests.
+The project uses `pytest <https://doc.pytest.org/en/latest/>`_ to write and runs unit tests.
 Tests should be placed in a separate ``tests`` folder within the package root folder.
 Files containing actual test code should follow the pattern ``test_*.py``.
 

docs/generalsr.rst

@@ -13,7 +13,7 @@ explanation my be found in:
 
 * *DICOM Structured Reporting*. David Clunie. PixelMed Publishing, 2000.
   Digital copy available 
-  `here <http://www.dclunie.com/pixelmed/DICOMSR.book.pdf>`_.
+  `here <https://www.dclunie.com/pixelmed/DICOMSR.book.pdf>`_.
 
 Content Items
 -------------

docs/tid1500.rst

@@ -737,9 +737,8 @@ highdicom test data within the highdicom repository at
     )
     sr_dataset.save_as("sr_document_with_multiple_groups.dcm")
 
-.. _tid300def: http://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_A.html#sect_TID_300
-.. _tid1500def: http://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_A.html#sect_TID_1500 
-.. _tid1501def: http://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_A.html#sect_TID_1501
-.. _tid1410def: http://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_A.html#sect_TID_1410
-.. _tid1411def: http://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_A.html#sect_TID_1411
-
+.. _tid300def: https://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_A.html#sect_TID_300
+.. _tid1500def: https://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_A.html#sect_TID_1500
+.. _tid1501def: https://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_A.html#sect_TID_1501
+.. _tid1410def: https://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_A.html#sect_TID_1410
+.. _tid1411def: https://dicom.nema.org/medical/dicom/current/output/chtml/part16/chapter_A.html#sect_TID_1411

src/highdicom/legacy/sop.py

@@ -302,16 +302,16 @@ def _convert_legacy_to_enhanced(
             pass
 
         # Cardiac Synchronization (U)
-        # TODO: http://dicom.nema.org/medical/dicom/current/output/chtml/part03/sect_C.7.6.16.2.html#sect_C.7.6.16.2.7  # noqa
+        # TODO: https://dicom.nema.org/medical/dicom/current/output/chtml/part03/sect_C.7.6.16.2.html#sect_C.7.6.16.2.7  # noqa
 
         # Contrast/Bolus Usage (U) - MR/CT only
-        # TODO: http://dicom.nema.org/medical/dicom/current/output/chtml/part03/sect_C.7.6.16.2.html#sect_C.7.6.16.2.12  # noqa
+        # TODO: https://dicom.nema.org/medical/dicom/current/output/chtml/part03/sect_C.7.6.16.2.html#sect_C.7.6.16.2.12  # noqa
 
         # Respiratory Synchronization (U)
-        # TODO: http://dicom.nema.org/medical/dicom/current/output/chtml/part03/sect_C.7.6.16.2.html#sect_C.7.6.16.2.17  # noqa
+        # TODO: https://dicom.nema.org/medical/dicom/current/output/chtml/part03/sect_C.7.6.16.2.html#sect_C.7.6.16.2.17  # noqa
 
         # Real World Value Mapping (U) - PET only
-        # TODO: http://dicom.nema.org/medical/dicom/current/output/chtml/part03/sect_C.7.6.16.2.html#sect_C.7.6.16.2.11  # noqa
+        # TODO: https://dicom.nema.org/medical/dicom/current/output/chtml/part03/sect_C.7.6.16.2.html#sect_C.7.6.16.2.11  # noqa
 
         perframe_items.append(perframe_item)
 

src/highdicom/valuerep.py

@@ -47,7 +47,7 @@ def check_person_name(person_name: Union[str, PersonName]) -> None:
         raise TypeError('Invalid type for a person name.')
 
     name_url = (
-        'http://dicom.nema.org/dicom/2013/output/chtml/part05/'
+        'https://dicom.nema.org/dicom/2013/output/chtml/part05/'
         'sect_6.2.html#sect_6.2.1.2'
     )
     if '^' not in person_name and person_name != '':  # empty string is allowed