Add fastcan

Author: IsabelParedes

recipes/recipes_emscripten/fastcan/build.sh

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+#!/bin/bash
+
+export CFLAGS="$CFLAGS -sWASM_BIGINT -s SIDE_MODULE=1 -Wno-implicit-function-declaration -fwasm-exceptions"
+export CXXFLAGS="$CXXFLAGS -sWASM_BIGINT -s SIDE_MODULE=1 -fwasm-exceptions"
+export LDFLAGS="$LDFLAGS -sWASM_BIGINT -s SIDE_MODULE=1 -fwasm-exceptions"
+
+# otherwise "cython" is not properly executable
+echo "add shebang to cython file"
+sed -i '1i#!/usr/bin/env python' $BUILD_PREFIX/bin/cython
+
+cp $RECIPE_DIR/emscripten.meson.cross $SRC_DIR
+echo "python = '${PYTHON}'" >> $SRC_DIR/emscripten.meson.cross
+
+${PYTHON} -m pip install . -vvv --no-deps --no-build-isolation \
+    -Csetup-args="--cross-file=$SRC_DIR/emscripten.meson.cross"

recipes/recipes_emscripten/fastcan/emscripten.meson.cross

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+# binaries section is at the end as may want to append python binary.
+
+[properties]
+needs_exe_wrapper = true
+skip_sanity_check = true
+longdouble_format = 'IEEE_QUAD_LE' # for numpy
+
+[host_machine]
+system = 'emscripten'
+cpu_family = 'wasm32'
+cpu = 'wasm'
+endian = 'little'
+
+[binaries]
+exe_wrapper = 'node'
+pkgconfig = 'pkg-config'

recipes/recipes_emscripten/fastcan/recipe.yaml

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+context:
+  name: fastcan
+  version: 0.5.0
+
+package:
+  name: ${{ name }}
+  version: ${{ version }}
+
+source:
+  url: https://pypi.io/packages/source/${{ name[0] }}/${{ name }}/${{ name }}-${{ version }}.tar.gz
+  sha256: f096487acc9898c4a9af4906bffeb9fd2203a277a3e94c0fc586097cc0e769dd
+
+build:
+  number: 0
+
+requirements:
+  build:
+    - ${{ compiler('c') }}
+    - cross-python_${{ target_platform }}
+    - python
+    - cython
+    - meson-python
+    - pip
+  host:
+    - python
+    - scikit-learn >=1.6.0
+  run:
+    - python
+    - scikit-learn >=1.6.0
+
+tests:
+- script:
+  - echo "FIXME:"
+# The tests for v0.5.0 pass. This has been tested with xeus-python.
+# The following fails because of issues with the test environment.
+# See https://github.com/emscripten-forge/recipes/issues/4364
+# tests:
+# - script: pytester
+#   files:
+#     recipe:
+#     - test_fastcan.py
+#   requirements:
+#     build:
+#     - pytester
+#     run:
+#     - pytester-run
+
+about:
+  license: MIT
+  license_file: LICENSE
+  summary: A fast canonical-correlation-based search algorithm
+  homepage: https://fastcan.readthedocs.io/en/latest/
+  repository: https://github.com/scikit-learn-contrib/fastcan/
+
+extra:
+  recipe-maintainers:
+    - MatthewSZhang

recipes/recipes_emscripten/fastcan/test_fastcan.py

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+def test_fastcan():
+    from fastcan import FastCan
+    X = [[1, 0], [0, 1]]
+    y = [1, 0]
+    s = FastCan(verbose=0).fit(X, y).get_support()
+    assert (s == [True, False]).all()