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Add tutorial by @alexdesiqueira for Data Umbrella
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workshops/2022-data-umbrella/2022_10-skimage_data_umbrella.ipynb

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workshops/2022-data-umbrella/LICENSE

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Creative Commons Legal Code
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CC0 1.0 Universal
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PROVIDED HEREUNDER, AND DISCLAIMS LIABILITY FOR DAMAGES RESULTING FROM
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THE USE OF THIS DOCUMENT OR THE INFORMATION OR WORKS PROVIDED
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import sys
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from packaging.version import Version
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EXIT_ERROR = 1
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PYTHON_VERSION_MAJOR = 3
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PYTHON_VERSION_MINOR = 8
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def check_python_version():
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if ((sys.version_info.major < PYTHON_VERSION_MAJOR) or
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(sys.version_info.minor < PYTHON_VERSION_MINOR)):
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print(f"[!] You are running an unsupported version of Python. "
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"This tutorial requires Python version "
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"{PYTHON_VERSION_MAJOR}.{PYTHON_VERSION_MINOR} or newer.")
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sys.exit(EXIT_ERROR)
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return None
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def read_requirements(filename="requirements.txt"):
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with open(filename) as file_reqs:
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requirements = file_reqs.readlines()
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requirements = [
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(package, version) for (package, _, version) in
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(requirement.split()
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for requirement in requirements if requirement.strip())
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]
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return requirements
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def check_setup():
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pkg_names = {
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"jupyter-notebook": "notebook",
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"scikit-image": "skimage",
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}
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check_python_version()
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requirements = read_requirements()
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for (package, version_required) in requirements:
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module_name = pkg_names.get(package, package)
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try:
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module = __import__(module_name)
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status = "✓"
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except ImportError as e:
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module = None
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if (package != "numpy" and "numpy" in str(e)):
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status = "?"
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version_installed = "Needs NumPy"
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else:
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version_installed = "Not installed"
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status = "X"
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if module is not None:
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try:
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version_installed = module.__version__
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except AttributeError: # specific for ITK version
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version_installed = module.Version.GetITKVersion()
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if Version(version_required) > Version(version_installed):
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status = "X"
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print("[{}] {:<10} {}".format(
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status, package.ljust(16), version_installed)
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)
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if __name__ == '__main__':
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try:
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check_setup()
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except ValueError: # avoiding error on matplotlib
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pass
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name: dataumbrella_skimage
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channels:
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- conda-forge
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dependencies:
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- python >= 3
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- numpy == 1.22
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- scipy == 1.8
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- matplotlib == 3.5
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- scikit-image
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- notebook == 6.4
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- itk == 5.2
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- itkwidgets == 0.32
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numpy >= 1
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scipy >= 1
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matplotlib >= 2.0
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scikit-image >= 0.18
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notebook >= 4.0
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itk >= 5.0
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itkwidgets >= 0.30

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