Conversation
* This method of installation uses a custom binary distribution of Windows libraries that the previous pyhdf maintainer provided. The binary distribution contained hdf4 and all it's dependencies (zlib, libjpeg, and szip). These libraries are most likely outdated at this point and there is no 64-bit version. I have no plans on updating them. * This removes use of the environment variable `HDF4`, which must be set to the directory containing the above mentioned binary distribution. conda-build sets it to the HDF4 version `4.2`, which makes builds fail. (see conda-forge/pyhdf-feedstock#20 (comment)) * The "quick install" for Windows right now is to use conda-forge pyhdf build.
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This method of installation uses a custom binary distribution of
Windows libraries that the previous pyhdf maintainer provided. The
binary distribution contained hdf4 and all it's dependencies (zlib,
libjpeg, and szip). These libraries are most likely outdated at this
point and there is no 64-bit version. I have no plans on updating them.
This removes use of the environment variable
HDF4, which must be setto the directory containing the above mentioned binary distribution.
conda-build sets it to the HDF4 version
4.2, which makes builds fail.(see Update to 0.10.0 conda-forge/pyhdf-feedstock#20 (comment))
You can still use the custom binary distribution if you really wanted
by setting the environment variables LIBRARY_DIRS and INCLUDE_DIRS
appropriately, but I don't recommend using them anymore.
The "quick install" for Windows right now is to use conda-forge pyhdf
build.