manogy / ruamel.yaml.clib-feedstock

fork from A conda-smithy repository for ruamel.yaml.clib.

Introduction

Because of Endiannes issues, in Big endian CPU architectures like s390x ruamel.yaml.clib throws the below error

      File "_ruamel_yaml.pyx", line 701, in ruamel.yaml.clib._ruamel_yaml.CParser.get_single_node
      File "_ruamel_yaml.pyx", line 904, in ruamel.yaml.clib._ruamel_yaml.CParser._parse_next_event
      ruamel.yaml.reader.ReaderError: unacceptable character #x00b0: invalid leading UTF-8 octet

This Repo is created with help of ruamel.yaml.clib-feedstock from conda forge and https://src.fedoraproject.org/rpms/python-ruamel-yaml-clib. As the later one has Big endian support we have included it as a patch in the feedstock.

Build Steps:

1. Clone the repo https://github.com/manogy/ruamel.yaml.clib-feedstock.git

   git clone https://github.com/manogy/ruamel.yaml.clib-feedstock.git
   

2. change the directory to recipe.

   cd ruamel.yaml.clib-feedstock/recipe
   

3. Make sure you are in the base environment of the conda unless you want to use a specific conda environment. If conda-build package is not installed please install it with the below command.

   conda install conda-build
   

4. To build the conda package run the below command (from the recipe folder).

   conda build .
   

5. Above command will start the build of the package, once it completes it will generate the last lines of the log similar to the below lines

       # Automatic uploading is disabled
       # If you want to upload package(s) to anaconda.org later, type:
   
   
       # To have conda build upload to anaconda.org automatically, use
       # conda config --set anaconda_upload yes
       anaconda upload \
           /root/miniconda3/conda-bld/linux-s390x/ruamel.yaml.clib-0.2.7-py310ha92ec59_2.tar.bz2
       anaconda_upload is not set.  Not uploading wheels: []
   
       INFO :: The inputs making up the hashes for the built packages are as follows:
       {
       "ruamel.yaml.clib-0.2.7-py310ha92ec59_2.tar.bz2": {
           "recipe": {
           "c_compiler": "gcc",
           "target_platform": "linux-s390x"
           }
       }
       }
   
   
       ####################################################################################
       Resource usage summary:
   
       Total time: 0:00:53.9
       CPU usage: sys=0:00:00.2, user=0:00:05.3
       Maximum memory usage observed: 200.2M
       Total disk usage observed (not including envs): 2.7K
   

Installing ruamel.yaml.clib in your desired conda environment

To Install the working ruamel.yaml.clib you need to run the below command.

```
conda install ruamel.yaml.clib  -c  /root/miniconda3/conda-bld
```

Here /root/miniconda3/conda-bld is the name of channel where ruamel.yaml.clib was created. This name is taken from the last lines of build logs.