Name:           python-w2vembeddings
Version:        0.1.2
Release:        1%{?dist}
Summary:        This package is main for translate word into vector for nlp embedding. maybe chinese maybe english, any language you want to use is ok.  This is main for those who will use word2vec in local from txt files. In particular, this implementation primarily helps to construct a separate word vector matrix for embedding in local NLP tasks.

# Check if the automatically generated License and its spelling is correct for Fedora
# https://docs.fedoraproject.org/en-US/packaging-guidelines/LicensingGuidelines/
License:        MIT
URL:            https://github.com/lg-1/w2vembeddings
Source:         %{pypi_source w2vembeddings}

BuildArch:      noarch
BuildRequires:  python3-devel


# Fill in the actual package description to submit package to Fedora
%global _description %{expand:
This is package 'w2vembeddings' generated automatically by pyp2spec.}


%description %_description

%package -n     python3-w2vembeddings
Summary:        %{summary}

%description -n python3-w2vembeddings %_description


%prep
%autosetup -p1 -n w2vembeddings-%{version}


%generate_buildrequires
%pyproject_buildrequires


%build
%pyproject_wheel


%install
%pyproject_install
# For official Fedora packages, including files with '*' +auto is not allowed
# Replace it with a list of relevant Python modules/globs and list extra files in %%files
%pyproject_save_files '*' +auto


%check
%pyproject_check_import -t


%files -n python3-w2vembeddings -f %{pyproject_files}


%changelog
* Tue Apr 26 2022 mockbuilder - 0.1.2-1
- Package generated with pyp2spec