gnu: Simplify package inputs.

This commit was obtained by running:

  ./pre-inst-env guix style

without any additional argument.

1 files changed, 174 insertions, 231 deletions

diff --git a/gnu/packages/machine-learning.scm b/gnu/packages/machine-learning.scm
index 3bb09129f5..2f8f2ece3e 100644
--- a/gnu/packages/machine-learning.scm
+++ b/gnu/packages/machine-learning.scm
@@ -201,7 +201,7 @@ classification.")
                          (string-append site "libsvm.so.2")))
             #t)))))
     (inputs
-     `(("python" ,python)))
+     (list python))
     (synopsis "Python bindings of libSVM")))
 
 (define-public ghmm
@@ -266,12 +266,12 @@ classification.")
        `(("python" ,python-2) ; only Python 2 is supported
          ("libxml2" ,libxml2)))
       (native-inputs
-       `(("pkg-config" ,pkg-config)
-         ("dejagnu" ,dejagnu)
-         ("swig" ,swig)
-         ("autoconf" ,autoconf)
-         ("automake" ,automake)
-         ("libtool" ,libtool)))
+       (list pkg-config
+             dejagnu
+             swig
+             autoconf
+             automake
+             libtool))
       (home-page "http://ghmm.org")
       (synopsis "Hidden Markov Model library")
       (description
@@ -299,7 +299,7 @@ training, HMM clustering, HMM mixtures.")
      `(#:configure-flags (list "--enable-blast"
                                "CFLAGS=-fcommon")))
     (inputs
-     `(("perl" ,perl)))
+     (list perl))
     (home-page "http://micans.org/mcl/")
     (synopsis "Clustering algorithm for graphs")
     (description
@@ -355,7 +355,7 @@ networks) based on simulation of (stochastic) flow in graphs.")
                (("restrict") "restrict_"))
              #t)))))
     (native-inputs
-     `(("ocamlbuild" ,ocamlbuild)))
+     (list ocamlbuild))
     (home-page "https://github.com/fhcrc/mcl")
     (synopsis "OCaml wrappers around MCL")
     (description
@@ -396,10 +396,7 @@ algorithm.")
          (add-before 'configure 'set-CXXFLAGS
            (lambda _ (setenv "CXXFLAGS" "-fpermissive "))))))
     (inputs
-     `(("boost" ,boost)
-       ("gsl" ,gsl)
-       ("libxml2" ,libxml2)
-       ("zlib" ,zlib)))
+     (list boost gsl libxml2 zlib))
     (native-inputs
      `(("gfortran" ,gfortran)
        ("gfortran:lib" ,gfortran "lib")))
@@ -569,8 +566,7 @@ optimizing, and searching weighted finite-state transducers (FSTs).")
        ("lzo" ,lzo)
        ("zlib" ,zlib)))
     (native-inputs
-     `(("pkg-config" ,pkg-config)
-       ("rxcpp" ,rxcpp)))
+     (list pkg-config rxcpp))
     ;; Non-portable SSE instructions are used so building fails on platforms
     ;; other than x86_64.
     (supported-systems '("x86_64-linux"))
@@ -647,22 +643,18 @@ in terms of new algorithms.")
                       (invoke "make" "install"
                               "-C" ".setuptools-cmake-build"))))))
     (native-inputs
-     `(("cmake" ,cmake)
-       ("googletest" ,googletest)
-       ("pybind11" ,pybind11)
-       ("python-coverage" ,python-coverage)
-       ("python-nbval" ,python-nbval)
-       ("python-pytest" ,python-pytest)
-       ("python-pytest-runner" ,python-pytest-runner)))
+     (list cmake
+           googletest
+           pybind11
+           python-coverage
+           python-nbval
+           python-pytest
+           python-pytest-runner))
     (inputs
-     `(("protobuf" ,protobuf)))
+     (list protobuf))
     (propagated-inputs
-     `(("python-numpy" ,python-numpy)
-       ("python-protobuf" ,python-protobuf)
-       ("python-six" ,python-six)
-       ("python-tabulate" ,python-tabulate)
-       ("python-typing-extensions"
-        ,python-typing-extensions)))
+     (list python-numpy python-protobuf python-six python-tabulate
+           python-typing-extensions))
     (home-page "https://onnx.ai/")
     (synopsis "Open Neural Network Exchange")
     (description
@@ -699,17 +691,12 @@ standard data types.")
     (build-system python-build-system)
     (arguments (package-arguments onnx))          ;reuse build system tweaks
     (native-inputs
-     `(("cmake" ,cmake)
-       ("python-pytest" ,python-pytest)
-       ("python-pytest-runner" ,python-pytest-runner)
-       ("python-nbval" ,python-nbval)
-       ("python-coverage" ,python-coverage)))
+     (list cmake python-pytest python-pytest-runner python-nbval
+           python-coverage))
     (inputs
-     `(("onnx" ,onnx)
-       ("protobuf" ,protobuf)
-       ("pybind11" ,pybind11)))
+     (list onnx protobuf pybind11))
     (propagated-inputs
-     `(("python-numpy" ,python-numpy)))
+     (list python-numpy))
     (synopsis "Library to optimize ONNX models")
     (description
      "This package provides a C++ and Python library for performing arbitrary
@@ -748,7 +735,7 @@ with a single function call.")
            (lambda _
              (invoke "ctest"))))))
     (native-inputs
-     `(("catch" ,catch-framework)))
+     (list catch-framework))
     (home-page "http://reactivex.io/")
     (synopsis "Reactive Extensions for C++")
     (description
@@ -853,7 +840,7 @@ than 8 bits, and at the end only some significant 8 bits are kept.")
                              '("meta" "profiling" "public" "fixedpoint"
                                "eight_bit_int_gemm" "internal")))))))))
       (native-inputs
-       `(("unzip" ,unzip)))
+       (list unzip))
       (properties '((hidden? . #t))))))
 
 (define-public dlib
@@ -916,9 +903,9 @@ than 8 bits, and at the end only some significant 8 bits are kept.")
                  (invoke "./dtest" "--runall"))
                #t))))))
     (native-inputs
-     `(("pkg-config" ,pkg-config)
-       ;; For tests.
-       ("libnsl" ,libnsl)))
+     (list pkg-config
+           ;; For tests.
+           libnsl))
     (inputs
      `(("giflib" ,giflib)
        ("lapack" ,lapack)
@@ -977,16 +964,12 @@ computing environments.")
                (for-each make-file-writable
                          (find-files out "\\.gz$"))))))))
     (inputs
-     `(("openblas" ,openblas)))
+     (list openblas))
     (native-inputs
-     `(("python-pytest" ,python-pytest)
-       ("python-pandas" ,python-pandas) ;for tests
-       ("python-cython" ,python-cython)))
+     (list python-pytest python-pandas ;for tests
+           python-cython))
     (propagated-inputs
-     `(("python-numpy" ,python-numpy)
-       ("python-threadpoolctl" ,python-threadpoolctl)
-       ("python-scipy" ,python-scipy)
-       ("python-joblib" ,python-joblib)))
+     (list python-numpy python-threadpoolctl python-scipy python-joblib))
     (home-page "https://scikit-learn.org/")
     (synopsis "Machine Learning in Python")
     (description
@@ -1034,15 +1017,12 @@ data analysis.")
                           ;; This test fails for unknown reasons
                           " and not test_rank_deficient_design"))))))))
       (inputs
-       `(("openblas" ,openblas)))
+       (list openblas))
       (native-inputs
-       `(("python2-pytest" ,python2-pytest)
-         ("python2-pandas" ,python2-pandas) ;for tests
-         ("python2-cython" ,python2-cython)))
+       (list python2-pytest python2-pandas ;for tests
+             python2-cython))
       (propagated-inputs
-       `(("python2-numpy" ,python2-numpy)
-         ("python2-scipy" ,python2-scipy)
-         ("python2-joblib" ,python2-joblib))))))
+       (list python2-numpy python2-scipy python2-joblib)))))
 
 (define-public python-threadpoolctl
   (package
@@ -1066,7 +1046,7 @@ data analysis.")
                (invoke "pytest"))
              #t)))))
     (native-inputs
-     `(("python-pytest" ,python-pytest)))
+     (list python-pytest))
     (home-page "https://github.com/joblib/threadpoolctl")
     (synopsis "Python helpers for common threading libraries")
     (description "Thread-pool Controls provides Python helpers to limit the
@@ -1086,13 +1066,10 @@ for scientific computing and data science (e.g. BLAS and OpenMP).")
         (base32 "0w87c2v0li2rdbx6qfc2lb6y6bxpdy3jwfgzfs1kcr4d1chj5zfr"))))
     (build-system python-build-system)
     (native-inputs
-     `(("python-nose" ,python-nose)))
+     (list python-nose))
     (propagated-inputs
-     `(("python-joblib" ,python-joblib)
-       ("python-llvmlite" ,python-llvmlite)
-       ("python-numba" ,python-numba)
-       ("python-scikit-learn" ,python-scikit-learn)
-       ("python-scipy" ,python-scipy)))
+     (list python-joblib python-llvmlite python-numba python-scikit-learn
+           python-scipy))
     (home-page "https://github.com/lmcinnes/pynndescent")
     (synopsis "Nearest neighbor descent for approximate nearest neighbors")
     (description
@@ -1129,14 +1106,12 @@ for k-neighbor-graph construction and approximate nearest neighbor search.")
              (setenv "NUMBA_CACHE_DIR" "/tmp")
              #t)))))
     (native-inputs
-     `(("python-cython" ,python-cython)))
+     (list python-cython))
     (inputs
-     `(("fftw" ,fftw)))
+     (list fftw))
     (propagated-inputs
-     `(("python-numpy" ,python-numpy)
-       ("python-pynndescent" ,python-pynndescent)
-       ("python-scikit-learn" ,python-scikit-learn)
-       ("python-scipy" ,python-scipy)))
+     (list python-numpy python-pynndescent python-scikit-learn
+           python-scipy))
     (home-page "https://github.com/pavlin-policar/openTSNE")
     (synopsis "Extensible, parallel implementations of t-SNE")
     (description
@@ -1158,12 +1133,9 @@ visualizing high-dimensional data sets.")
     (build-system python-build-system)
     ;; Pandas is only needed to run the tests.
     (native-inputs
-     `(("python-pandas" ,python-pandas)))
+     (list python-pandas))
     (propagated-inputs
-     `(("python-numpy" ,python-numpy)
-       ("python-scipy" ,python-scipy)
-       ("python-scikit-learn" ,python-scikit-learn)
-       ("python-joblib" ,python-joblib)))
+     (list python-numpy python-scipy python-scikit-learn python-joblib))
     (home-page "https://epistasislab.github.io/scikit-rebate/")
     (synopsis "Relief-based feature selection algorithms for Python")
     (description "Scikit-rebate is a scikit-learn-compatible Python
@@ -1189,10 +1161,10 @@ standard feature selection algorithms.")
        (file-name (git-file-name name version))))
     (build-system python-build-system)
     (native-inputs
-     `(("python-setuptools" ,python-setuptools) ;build fails without this
-       ("python-wheel" ,python-wheel)))
+     (list python-setuptools ;build fails without this
+           python-wheel))
     (propagated-inputs
-     `(("python-numpy" ,python-numpy)))
+     (list python-numpy))
     (home-page "https://github.com/CyberAgent/cmaes")
     (synopsis "CMA-ES implementation for Python")
     (description "This package provides provides an implementation of the
@@ -1218,11 +1190,9 @@ Covariance Matrix Adaptation Evolution Strategy (CMA-ES) for Python.")
       (version version)
       (build-system python-build-system)
       (native-inputs
-       `(("python-nose" ,python-nose)
-         ("python-pytest" ,python-pytest)))
+       (list python-nose python-pytest))
       (propagated-inputs
-       `(("python-future" ,python-future)
-         ("python-numpy" ,python-numpy)))
+       (list python-future python-numpy))
       (arguments
        `(#:phases (modify-phases %standard-phases
                     (replace 'check
@@ -1256,13 +1226,11 @@ main intended application of Autograd is gradient-based optimization.")
                 "0jlvyn7k81dzrh9ij3zw576wbgiwmmr26rzpdxjn1dbpc3njpvzi"))
               (file-name (git-file-name name version))))
     (native-inputs
-     `(("python-pytest" ,python-pytest)
-       ("python-nose" ,python-nose)))
+     (list python-pytest python-nose))
     (inputs
-     `(("openmpi" ,openmpi)))
+     (list openmpi))
     (propagated-inputs
-     `(("python-numpy" ,python-numpy)
-       ("python-scipy" ,python-scipy)))
+     (list python-numpy python-scipy))
     (arguments
      `(#:configure-flags
        '("-DUSE_MPI=ON")
@@ -1303,8 +1271,7 @@ the following advantages:
                 "04bwzk6ifgnz3fmzid8b7avxf9n5pnx9xcjm61nkjng1vv0bpj8x"))
               (file-name (git-file-name name version))))
     (inputs
-     `(("boost" ,boost)
-       ("zlib" ,zlib)))
+     (list boost zlib))
     (arguments
      `(#:configure-flags
        (list (string-append "--with-boost="
@@ -1347,17 +1314,14 @@ interactive learning.")
      `(#:tests? #f ; some test files are missing
        #:python ,python-2)) ; only Python 2.7 is supported
     (propagated-inputs
-     `(("python2-numpy" ,python2-numpy)
-       ("python2-scipy" ,python2-scipy)
-       ("python2-matplotlib" ,python2-matplotlib)
-       ("python2-pandas" ,python2-pandas)
-       ("python2-scikit-learn" ,python2-scikit-learn)
-       ("python2-pysnptools" ,python2-pysnptools)))
+     (list python2-numpy
+           python2-scipy
+           python2-matplotlib
+           python2-pandas
+           python2-scikit-learn
+           python2-pysnptools))
     (native-inputs
-     `(("unzip" ,unzip)
-       ("python2-cython" ,python2-cython)
-       ("python2-mock" ,python2-mock)
-       ("python2-nose" ,python2-nose)))
+     (list unzip python2-cython python2-mock python2-nose))
     (home-page "http://research.microsoft.com/en-us/um/redmond/projects/mscompbio/fastlmm/")
     (synopsis "Perform genome-wide association studies on large data sets")
     (description
@@ -1396,20 +1360,20 @@ association studies (GWAS) on extremely large data sets.")
                                            " and not test_quadratic1"
                                            " and not test_twoarms"))))))))
     (propagated-inputs
-     `(("python-cloudpickle" ,python-cloudpickle)
-       ("python-future" ,python-future)
-       ("python-networkx" ,python-networkx)
-       ("python-numpy" ,python-numpy)
-       ("python-scipy" ,python-scipy)
-       ("python-six" ,python-six)
-       ("python-tqdm" ,python-tqdm)))
+     (list python-cloudpickle
+           python-future
+           python-networkx
+           python-numpy
+           python-scipy
+           python-six
+           python-tqdm))
     (native-inputs
-     `(("python-black" ,python-black)
-       ("python-ipython" ,python-ipython)
-       ("python-ipyparallel" ,python-ipyparallel)
-       ("python-nose" ,python-nose)
-       ("python-pymongo" ,python-pymongo)
-       ("python-pytest" ,python-pytest)))
+     (list python-black
+           python-ipython
+           python-ipyparallel
+           python-nose
+           python-pymongo
+           python-pytest))
     (home-page "https://hyperopt.github.io/hyperopt/")
     (synopsis "Library for hyperparameter optimization")
     (description "Hyperopt is a Python library for serial and parallel
@@ -1508,21 +1472,21 @@ discrete, and conditional dimensions.")
                                (string-append lib "/gstreamer-1.0"))
                  #t))))))
       (inputs
-       `(("alsa-lib" ,alsa-lib)
-         ("gfortran" ,gfortran "lib")
-         ("glib" ,glib)
-         ("gstreamer" ,gstreamer)
-         ("jack" ,jack-1)
-         ("openblas" ,openblas)
-         ("openfst" ,openfst)
-         ("portaudio" ,portaudio)
-         ("python" ,python)))
+       (list alsa-lib
+             `(,gfortran "lib")
+             glib
+             gstreamer
+             jack-1
+             openblas
+             openfst
+             portaudio
+             python))
       (native-inputs
-       `(("glib" ,glib "bin")             ; glib-genmarshal
-         ("grep" ,grep)
-         ("sed" ,sed)
-         ("pkg-config" ,pkg-config)
-         ("which" ,which)))
+       (list `(,glib "bin") ; glib-genmarshal
+             grep
+             sed
+             pkg-config
+             which))
       (home-page "https://kaldi-asr.org/")
       (synopsis "Speech recognition toolkit")
       (description "Kaldi is an extensible toolkit for speech recognition
@@ -1582,11 +1546,7 @@ written in C++.")
                  (install-file "libgstkaldinnet2onlinedecoder.so" lib)
                  #t))))))
       (inputs
-       `(("glib" ,glib)
-         ("gstreamer" ,gstreamer)
-         ("jansson" ,jansson)
-         ("openfst" ,openfst)
-         ("kaldi" ,kaldi)))
+       (list glib gstreamer jansson openfst kaldi))
       (native-inputs
        `(("bash" ,bash)
          ("glib:bin" ,glib "bin")       ; glib-genmarshal
@@ -2372,7 +2332,7 @@ learning libraries.")
      `(("googletest" ,googletest)
        ("python" ,python-wrapper)))
     (inputs
-     `(("dmlc-core" ,dmlc-core)))
+     (list dmlc-core))
     (home-page "https://xgboost.ai/")
     (synopsis "Gradient boosting (GBDT, GBRT or GBM) library")
     (description
@@ -2442,14 +2402,11 @@ in a fast and accurate way.")
                         ;; "'['./runexp.sh']' returned non-zero exit status 1"
                         " and not test_cli_binary_classification"))))))))
     (native-inputs
-     `(("python-pandas" ,python-pandas)
-       ("python-pytest" ,python-pytest)
-       ("python-scikit-learn" ,python-scikit-learn)))
+     (list python-pandas python-pytest python-scikit-learn))
     (inputs
-     `(("xgboost" ,xgboost)))
+     (list xgboost))
     (propagated-inputs
-     `(("python-numpy" ,python-numpy)
-       ("python-scipy" ,python-scipy)))
+     (list python-numpy python-scipy))
     (synopsis "Python interface for the XGBoost library")))
 
 (define-public python-iml
@@ -2495,13 +2452,10 @@ project, and it will potentially also do the same for the Lime project.")
     ;; The tests require Keras, but this package is needed to build Keras.
     (arguments '(#:tests? #f))
     (propagated-inputs
-     `(("python-h5py" ,python-h5py)
-       ("python-numpy" ,python-numpy)))
+     (list python-h5py python-numpy))
     (native-inputs
-     `(("python-pytest" ,python-pytest)
-       ("python-pytest-cov" ,python-pytest-cov)
-       ("python-pytest-pep8" ,python-pytest-pep8)
-       ("python-pytest-xdist" ,python-pytest-xdist)))
+     (list python-pytest python-pytest-cov python-pytest-pep8
+           python-pytest-xdist))
     (home-page "https://github.com/keras-team/keras-applications")
     (synopsis "Reference implementations of popular deep learning models")
     (description
@@ -2522,15 +2476,14 @@ models for use with the Keras deep learning framework.")
          "1r98nm4k1svsqjyaqkfk23i31bl1kcfcyp7094yyj3c43phfp3as"))))
     (build-system python-build-system)
     (propagated-inputs
-     `(("python-numpy" ,python-numpy)
-       ("python-six" ,python-six)))
+     (list python-numpy python-six))
     (native-inputs
-     `(("python-pandas" ,python-pandas)
-       ("python-pillow" ,python-pillow)
-       ("python-pytest" ,python-pytest)
-       ("python-pytest-cov" ,python-pytest-cov)
-       ("python-pytest-xdist" ,python-pytest-xdist)
-       ("tensorflow" ,tensorflow)))
+     (list python-pandas
+           python-pillow
+           python-pytest
+           python-pytest-cov
+           python-pytest-xdist
+           tensorflow))
     (home-page "https://github.com/keras-team/keras-preprocessing/")
     (synopsis "Data preprocessing and augmentation for deep learning models")
     (description
@@ -2586,25 +2539,25 @@ with image data, text data, and sequence data.")
                         ;; recent versions.
                         "and not test_stateful_metrics"))))))))
     (propagated-inputs
-     `(("python-h5py" ,python-h5py)
-       ("python-keras-applications" ,python-keras-applications)
-       ("python-keras-preprocessing" ,python-keras-preprocessing)
-       ("python-numpy" ,python-numpy)
-       ("python-pydot" ,python-pydot)
-       ("python-pyyaml" ,python-pyyaml)
-       ("python-scipy" ,python-scipy)
-       ("python-six" ,python-six)
-       ("tensorflow" ,tensorflow)
-       ("graphviz" ,graphviz)))
+     (list python-h5py
+           python-keras-applications
+           python-keras-preprocessing
+           python-numpy
+           python-pydot
+           python-pyyaml
+           python-scipy
+           python-six
+           tensorflow
+           graphviz))
     (native-inputs
-     `(("python-pandas" ,python-pandas)
-       ("python-pytest" ,python-pytest)
-       ("python-pytest-cov" ,python-pytest-cov)
-       ("python-pytest-pep8" ,python-pytest-pep8)
-       ("python-pytest-timeout" ,python-pytest-timeout)
-       ("python-pytest-xdist" ,python-pytest-xdist)
-       ("python-sphinx" ,python-sphinx)
-       ("python-requests" ,python-requests)))
+     (list python-pandas
+           python-pytest
+           python-pytest-cov
+           python-pytest-pep8
+           python-pytest-timeout
+           python-pytest-xdist
+           python-sphinx
+           python-requests))
     (home-page "https://github.com/keras-team/keras")
     (synopsis "High-level deep learning framework")
     (description "Keras is a high-level neural networks API, written in Python
@@ -2639,9 +2592,9 @@ that:
            "1crmqgybzkgkpbmcx16912gsl5qsj49swa0ikx6mhqgph0chrh11"))))
       (build-system cmake-build-system)
       (native-inputs
-       `(("googletest" ,googletest)))
+       (list googletest))
       (inputs
-       `(("openssl" ,openssl)))
+       (list openssl))
       (arguments
        `(#:configure-flags '("-DBUILD_TEST=1")
          #:phases
@@ -2671,13 +2624,9 @@ These include a barrier, broadcast, and allreduce.")
          "02ada2yy6km6zgk2836kg1c97yrcpalvan34p8c57446finnpki1"))))
     (build-system python-build-system)
     (native-inputs
-     `(("python-joblib" ,python-joblib)
-       ("python-nose" ,python-nose)))
+     (list python-joblib python-nose))
     (propagated-inputs
-     `(("python-numba" ,python-numba)
-       ("python-numpy" ,python-numpy)
-       ("python-scikit-learn" ,python-scikit-learn)
-       ("python-scipy" ,python-scipy)))
+     (list python-numba python-numpy python-scikit-learn python-scipy))
     (home-page "https://github.com/lmcinnes/umap")
     (synopsis
      "Uniform Manifold Approximation and Projection")
@@ -2726,16 +2675,14 @@ instead it provides low-level performance primitives leveraged in leading deep
 learning frameworks, such as PyTorch, Caffe2, MXNet, tiny-dnn, Caffe, Torch,
 and Darknet.")
       (inputs
-       `(("cpuinfo" ,cpuinfo)
-         ("fp16" ,fp16)
-         ("fxdiv" ,fxdiv)
-         ("psimd" ,psimd)
-         ("pthreadpool" ,pthreadpool)
-         ("googletest" ,googletest)))
+       (list cpuinfo
+             fp16
+             fxdiv
+             psimd
+             pthreadpool
+             googletest))
       (native-inputs
-       `(("python" ,python)
-         ("python-peachpy" ,python-peachpy)
-         ("python-six" ,python-six)))
+       (list python python-peachpy python-six))
       (license license:bsd-2))))
 
 (define-public xnnpack
@@ -2769,13 +2716,13 @@ and Darknet.")
          ;;   another target with the same name already exists.
          #:tests? #f))
       (inputs
-       `(("cpuinfo" ,cpuinfo)
-         ("pthreadpool" ,pthreadpool)
-         ("googletest" ,googletest)
-         ("googlebenchmark" ,googlebenchmark)
-         ("fxdiv" ,fxdiv)
-         ("fp16" ,fp16)
-         ("psimd" ,psimd)))
+       (list cpuinfo
+             pthreadpool
+             googletest
+             googlebenchmark
+             fxdiv
+             fp16
+             psimd))
       (synopsis "Optimized floating-point neural network inference operators")
       (description
        "XNNPACK is a highly optimized library of floating-point neural network
@@ -2869,38 +2816,37 @@ TensorFlow.js, PyTorch, and MediaPipe.")
        ;; We're also missing some Python modules, such as expecttest.
        #:tests? #f))
     (native-inputs
-     `(("cmake" ,cmake)
-       ("ninja" ,ninja)))
+     (list cmake ninja))
     (inputs
-     `(("eigen" ,eigen)
-       ;; ("fmt" ,fmt)
-       ("fp16" ,fp16)
-       ("gemmlowp" ,gemmlowp)
-       ("googletest" ,googletest)
-       ("googlebenchmark" ,googlebenchmark)
-       ("gloo" ,gloo)
-       ("nnpack" ,nnpack)
-       ("openblas" ,openblas)
-       ("openmpi" ,openmpi)
-       ("pthreadpool" ,pthreadpool)
-       ("protobuf" ,protobuf)
-       ("pybind11" ,pybind11)
-       ("sleef" ,sleef)
-       ("xnnpack" ,xnnpack)
-       ("zstd" ,zstd)))
+     (list eigen
+           ;; ("fmt" ,fmt)
+           fp16
+           gemmlowp
+           googletest
+           googlebenchmark
+           gloo
+           nnpack
+           openblas
+           openmpi
+           pthreadpool
+           protobuf
+           pybind11
+           sleef
+           xnnpack
+           zstd))
     (propagated-inputs
-     `(("python-astunparse" ,python-astunparse)
-       ("python-click" ,python-click)
-       ("python-numpy" ,python-numpy)
-       ("python-pyyaml" ,python-pyyaml)
-       ("python-cffi" ,python-cffi)
-       ("python-typing-extensions" ,python-typing-extensions)
-       ("python-future" ,python-future)
-       ("python-six" ,python-six)
-       ("python-requests" ,python-requests)
-       ("onnx" ,onnx)                       ;propagated for its Python modules
-       ("onnx-optimizer" ,onnx-optimizer)
-       ("cpuinfo" ,cpuinfo)))
+     (list python-astunparse
+           python-click
+           python-numpy
+           python-pyyaml
+           python-cffi
+           python-typing-extensions
+           python-future
+           python-six
+           python-requests
+           onnx ;propagated for its Python modules
+           onnx-optimizer
+           cpuinfo))
     (home-page "https://pytorch.org/")
     (synopsis "Python library for tensor computation and deep neural networks")
     (description
@@ -2939,13 +2885,10 @@ Note: currently this package does not provide GPU support.")
                (with-directory-excursion (string-append (assoc-ref outputs "out") "/lib")
                  (invoke "python" "-m" "pytest"))))))))
     (propagated-inputs
-     `(("python-cython" ,python-cython)
-       ("python-numpy" ,python-numpy)
-       ("python-scikit-learn" ,python-scikit-learn)
-       ("python-scipy" ,python-scipy)
-       ("python-setuptools-scm" ,python-setuptools-scm)))
+     (list python-cython python-numpy python-scikit-learn python-scipy
+           python-setuptools-scm))
     (native-inputs
-     `(("python-pytest" ,python-pytest)))
+     (list python-pytest))
     (home-page "https://github.com/hmmlearn/hmmlearn")
     (synopsis "Hidden Markov Models with scikit-learn like API")
     (description