Mar 22, 2023 · Feb 18, 2023 · Feb 19, 2023 · Feb 21, 2023 · Feb 21, 2023 · Feb 22, 2023
diff --git a/.github/workflows/test_and_build.yml b/.github/workflows/test_and_build.yml
          nxver=$(python -c 'import random ; print(random.choice(["=2.7", "=2.8", "=3.0", ""]))')
          yamlver=$(python -c 'import random ; print(random.choice(["=5.4", "=6.0", ""]))')
          sparsever=$(python -c 'import random ; print(random.choice(["=0.12", "=0.13", "=0.14", ""]))')
          fmmver=$(python -c 'import random ; print(random.choice(["=1.4", ""]))')
          if [[ ${{ steps.pyver.outputs.selected }} == "3.8" ]]; then
            npver=$(python -c 'import random ; print(random.choice(["=1.21", "=1.22", "=1.23", ""]))')
            spver=$(python -c 'import random ; print(random.choice(["=1.8", "=1.9", "=1.10", ""]))')
            pdver=$(python -c 'import random ; print(random.choice(["=1.2", "=1.3", "=1.4", "=1.5", ""]))')
            akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", ""]))')
            akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", "=2.1", ""]))')
          elif [[ ${{ steps.pyver.outputs.selected }} == "3.9" ]]; then
            npver=$(python -c 'import random ; print(random.choice(["=1.21", "=1.22", "=1.23", ""]))')
            spver=$(python -c 'import random ; print(random.choice(["=1.8", "=1.9", "=1.10", ""]))')
            pdver=$(python -c 'import random ; print(random.choice(["=1.2", "=1.3", "=1.4", "=1.5", ""]))')
            akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", ""]))')
            akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", "=2.1", ""]))')
          elif [[ ${{ steps.pyver.outputs.selected }} == "3.10" ]]; then
            npver=$(python -c 'import random ; print(random.choice(["=1.21", "=1.22", "=1.23", ""]))')
            spver=$(python -c 'import random ; print(random.choice(["=1.8", "=1.9", "=1.10", ""]))')
            pdver=$(python -c 'import random ; print(random.choice(["=1.3", "=1.4", "=1.5", ""]))')
            akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", ""]))')
            akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", "=2.1", ""]))')
          else  # Python 3.11
            npver=$(python -c 'import random ; print(random.choice(["=1.23", ""]))')
            spver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", ""]))')
            pdver=$(python -c 'import random ; print(random.choice(["=1.5", ""]))')
            akver=$(python -c 'import random ; print(random.choice(["=1.10", "=2.0.5", "=2.0.6", "=2.0.7", "=2.0.8", ""]))')
            akver=$(python -c 'import random ; print(random.choice(["=1.10", "=2.0", "=2.1", ""]))')
          fi
          if [[ ${{ steps.sourcetype.outputs.selected }} == "source" || ${{ steps.sourcetype.outputs.selected }} == "upstream" ]]; then
            # TODO: there are currently issues with some numpy versions when

          # Once we have wheels for all OSes, we can delete the last two lines.
          mamba install packaging pytest coverage coveralls=3.3.1 pytest-randomly cffi donfig pyyaml${yamlver} sparse${sparsever} \
            pandas${pdver} scipy${spver} numpy${npver} awkward${akver} networkx${nxver} numba${numbaver} \
            pandas${pdver} scipy${spver} numpy${npver} awkward${akver} networkx${nxver} numba${numbaver}fast_matrix_market${fmmver}\
            ${{ matrix.slowtask == 'pytest_bizarro' && 'black' || '' }} \
            ${{ matrix.slowtask == 'notebooks' && 'matplotlib nbconvert jupyter "ipython>=7"' || '' }} \
            ${{ steps.sourcetype.outputs.selected == 'upstream' && 'cython' || '' }} \
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
    hooks:
      - id: validate-pyproject
        name: Validate pyproject.toml
  - repo: https://github.com/myint/autoflake
    rev: v2.0.1
    hooks:
      - id: autoflake
        args: [--in-place]
  # We can probably remove `isort` if we come to trust `ruff --fix`,
  # but we'll need to figure out the configuration to do this in `ruff`
  - repo: https://github.com/pycqa/isort
    rev: 5.12.0
    hooks:
      - id: isort
  # Let's keep `pyupgrade` even though `ruff --fix` probably does most of it
  - repo: https://github.com/asottile/pyupgrade
    rev: v3.3.1
    hooks:
    hooks:
      - id: black
      - id: black-jupyter
  - repo: https://github.com/charliermarsh/ruff-pre-commit
    rev: v0.0.257
    hooks:
      - id: ruff
        args: [--fix-only]
  # Let's keep `flake8` even though `ruff` does much of the same.
  # `flake8-bugbear` and `flake8-simplify` have caught things missed by `ruff`.
  - repo: https://github.com/PyCQA/flake8
    rev: 6.0.0
    hooks:
      - id: flake8
        additional_dependencies: &flake8_dependencies
        # These versions need updated manually
        - flake8==6.0.0
        - flake8-comprehensions==3.10.1
        - flake8-bugbear==23.2.13
        - flake8-bugbear==23.3.12
        - flake8-simplify==0.19.3
  - repo: https://github.com/asottile/yesqa
    rev: v1.4.0
    hooks:
      - id: yesqa
        additional_dependencies: *flake8_dependencies
  - repo: https://github.com/codespell-project/codespell
    rev: v2.2.2
    rev: v2.2.4
    hooks:
      - id: codespell
        types_or: [python, rst, markdown]
        additional_dependencies: [tomli]
        files: ^(graphblas|docs)/
  - repo: https://github.com/charliermarsh/ruff-pre-commit
    rev: v0.0.252
    rev: v0.0.257
    hooks:
      - id: ruff
  - repo: https://github.com/sphinx-contrib/sphinx-lint
    rev: v0.6.7
    hooks:
      - id: sphinx-lint
        args: [--enable, all, "--disable=line-too-long,leaked-markup"]
  # `pyroma` may help keep our package standards up to date if best practices change.
  # This is probably a "low value" check though and safe to remove if we want faster pre-commit.
  - repo: https://github.com/regebro/pyroma
    rev: "4.2"
    hooks:
      - id: pyroma
        args: [-n, "10", .]
  - repo: local
    hooks:
      # Add `--hook-stage manual` to pre-commit command to run (very slow)
diff --git a/README.md b/README.md
 - `pandas` – required for nicer `__repr__`;
 - `matplotlib` – required for basic plotting of graphs;
 - `scipy` – used in io module to read/write `scipy.sparse` format;
 - `networkx` – used in `io` module to interface with `networkx` graphs.
 - `networkx` – used in `io` module to interface with `networkx` graphs;
 - `fast-matrix-market` - for faster read/write of Matrix Market files with `gb.io.mmread` and `gb.io.mmwrite`.

 ## Description
 Currently works with [SuiteSparse:GraphBLAS](https://github.com/DrTimothyAldenDavis/GraphBLAS), but the goal is to make it work with all implementations of the GraphBLAS spec.
diff --git a/dev-requirements.txt b/dev-requirements.txt
 pandas
 # For I/O
 awkward
 fast_matrix_market
 networkx
 scipy
 sparse
 # For linting
 pre-commit
 # For testing
 packaging
 pytest-cov
 # For debugging
 icecream
diff --git a/docs/getting_started/index.rst b/docs/getting_started/index.rst
  - `matplotlib <https://matplotlib.org>`__ -- required for basic plotting of graphs
  - `scipy <https://scipy.org/>`__ -- used in ``io`` module to read/write ``scipy.sparse`` format
  - `networkx <https://networkx.org>`__ -- used in ``io`` module to interface with networkx graphs
  - `fast-matrix-market <https://github.com/alugowski/fast_matrix_market>`__ -- for faster read/write of Matrix Market files with ``gb.io.mmread`` and ``gb.io.mmwrite``

 GraphBLAS Fundamentals
 ----------------------
diff --git a/docs/user_guide/io.rst b/docs/user_guide/io.rst
 The SuiteSparse export has a ``give_ownership`` option. This performs a zero-copy
 move operation and invalidates the original python-graphblas object. When extreme speed is needed or memory is
 too limited to make a copy, this option may be needed.

 Matrix Market files
 -------------------

 The `Matrix Market file format <https://math.nist.gov/MatrixMarket/formats.html>`_ is a common
 file format for storing sparse arrays in human-readable ASCII.
 Matrix Market files--also called MM files--often use ".mtx" file extension.
 For example, many datasets in MM format can be found in `the SuiteSparse Matrix Collection <https://sparse.tamu.edu/>`_.

 Use ``gb.io.mmread()`` to read a Matrix Market file to a python-graphblas Matrix,
 and ``gb.io.mmwrite()`` to write a Matrix to a Matrix Market file.
 These names match the equivalent functions in `scipy.sparse <https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.mmread.html>`_.

 ``scipy`` is required to be installed to read Matrix Market files.
 If ``fast_matrix_market`` is installed, it will be used by default for
 `much better performance <https://github.com/alugowski/fast_matrix_market>`_.
diff --git a/environment.yml b/environment.yml
    - pandas
    # For I/O
    - awkward
 #- fast_matrix_market  # Coming soon...
    - fast_matrix_market
    - networkx
    - scipy
    - sparse
diff --git a/graphblas/core/expr.py b/graphblas/core/expr.py
                raise TypeError(f"Index for {type(self.obj).__name__} cannot be a tuple")
            # Convert to tuple for consistent processing
            indices = (indices,)
        else:  # len(shape) == 2
            if type(indices) is not tuple or len(indices) != 2:
                raise TypeError(f"Index for {type(self.obj).__name__} must be a 2-tuple")
        elif type(indices) is not tuple or len(indices) != 2:
            raise TypeError(f"Index for {type(self.obj).__name__} must be a 2-tuple")

        out = []
        for i, idx in enumerate(indices):
diff --git a/graphblas/core/matrix.py b/graphblas/core/matrix.py
                            mask = _vanilla_subassign_mask(
                                self, mask, rowidx, colidx, replace, opts
                            )
                    elif backend == "suitesparse":
                        cfunc_name = "GxB_Matrix_subassign_Scalar"
                    else:
                        if backend == "suitesparse":
                            cfunc_name = "GxB_Matrix_subassign_Scalar"
                        else:
                            cfunc_name = "GrB_Matrix_assign_Scalar"
                            mask = _vanilla_subassign_mask(
                                self, mask, rowidx, colidx, replace, opts
                            )
                        cfunc_name = "GrB_Matrix_assign_Scalar"
                        mask = _vanilla_subassign_mask(self, mask, rowidx, colidx, replace, opts)
                    expr_repr = (
                        "[[{2._expr_name} rows], [{4._expr_name} cols]]"
                        f"({mask.name})"
diff --git a/graphblas/core/ss/matrix.py b/graphblas/core/ss/matrix.py
                if is_iso:
                    if values.size > 1:  # pragma: no branch (suitesparse)
                        values = values[:1]
                else:
                    if values.size > nvals:  # pragma: no branch (suitesparse)
                        values = values[:nvals]
                elif values.size > nvals:  # pragma: no branch (suitesparse)
                    values = values[:nvals]
            # Note: nvals is also at `indptr[nrows]`
            rv = {
                "indptr": indptr,
                if is_iso:
                    if values.size > 1:  # pragma: no cover (suitesparse)
                        values = values[:1]
                else:
                    if values.size > nvals:
                        values = values[:nvals]
                elif values.size > nvals:
                    values = values[:nvals]
            # Note: nvals is also at `indptr[ncols]`
            rv = {
                "indptr": indptr,
                if is_iso:
                    if values.size > 1:  # pragma: no cover (suitesparse)
                        values = values[:1]
                else:
                    if values.size > nvals:
                        values = values[:nvals]
                elif values.size > nvals:
                    values = values[:nvals]
            # Note: nvals is also at `indptr[nvec]`
            rv = {
                "indptr": indptr,
                if is_iso:
                    if values.size > 1:  # pragma: no cover (suitesparse)
                        values = values[:1]
                else:
                    if values.size > nvals:
                        values = values[:nvals]
                elif values.size > nvals:
                    values = values[:nvals]
            # Note: nvals is also at `indptr[nvec]`
            rv = {
                "indptr": indptr,
                    format = "cooc"
                else:
                    format = "coo"
            elif isinstance(values, np.ndarray) and values.ndim == 2 and values.flags.f_contiguous:
                format = "fullc"
            else:
                if (
                    isinstance(values, np.ndarray)
                    and values.ndim == 2
                    and values.flags.f_contiguous
                ):
                    format = "fullc"
                else:
                    format = "fullr"
                format = "fullr"
        else:
            format = format.lower()
        if method == "pack":
diff --git a/graphblas/core/ss/vector.py b/graphblas/core/ss/vector.py
                if is_iso:
                    if values.size > 1:  # pragma: no cover (suitesparse)
                        values = values[:1]
                else:
                    if values.size > nvals:
                        values = values[:nvals]
                elif values.size > nvals:
                    values = values[:nvals]
            rv = {
                "size": size,
                "indices": indices,
                if is_iso:
                    if values.size > 1:  # pragma: no cover (suitesparse)
                        values = values[:1]
                else:
                    if values.size > size:  # pragma: no branch (suitesparse)
                        values = values[:size]
                elif values.size > size:  # pragma: no branch (suitesparse)
                    values = values[:size]
            rv = {
                "bitmap": bitmap,
                "nvals": nvals[0],
                if is_iso:
                    if values.size > 1:
                        values = values[:1]
                else:
                    if values.size > size:  # pragma: no branch (suitesparse)
                        values = values[:size]
                elif values.size > size:  # pragma: no branch (suitesparse)
                    values = values[:size]
            rv = {}
            if raw or is_iso:
                rv["size"] = size
diff --git a/graphblas/core/vector.py b/graphblas/core/vector.py
                    else:
                        cfunc_name = f"GrB_Vector_assign_{dtype_name}"
                        mask = _vanilla_subassign_mask(self, mask, idx, replace, opts)
                elif backend == "suitesparse":
                    cfunc_name = "GxB_Vector_subassign_Scalar"
                else:
                    if backend == "suitesparse":
                        cfunc_name = "GxB_Vector_subassign_Scalar"
                    else:
                        cfunc_name = "GrB_Vector_assign_Scalar"
                        mask = _vanilla_subassign_mask(self, mask, idx, replace, opts)
                    cfunc_name = "GrB_Vector_assign_Scalar"
                    mask = _vanilla_subassign_mask(self, mask, idx, replace, opts)
                expr_repr = (
                    "[[{2._expr_name} elements]]"
                    f"({mask.name})"  # fmt: skip
Original file line number	Diff line number	Diff line change
Expand Up		@@ -143,26 +143,27 @@ jobs:
		nxver=$(python -c 'import random ; print(random.choice(["=2.7", "=2.8", "=3.0", ""]))')
		yamlver=$(python -c 'import random ; print(random.choice(["=5.4", "=6.0", ""]))')
		sparsever=$(python -c 'import random ; print(random.choice(["=0.12", "=0.13", "=0.14", ""]))')
		fmmver=$(python -c 'import random ; print(random.choice(["=1.4", ""]))')
		if [[ ${{ steps.pyver.outputs.selected }} == "3.8" ]]; then
		npver=$(python -c 'import random ; print(random.choice(["=1.21", "=1.22", "=1.23", ""]))')
		spver=$(python -c 'import random ; print(random.choice(["=1.8", "=1.9", "=1.10", ""]))')
		pdver=$(python -c 'import random ; print(random.choice(["=1.2", "=1.3", "=1.4", "=1.5", ""]))')
		akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", ""]))')
		akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", "=2.1", ""]))')
		elif [[ ${{ steps.pyver.outputs.selected }} == "3.9" ]]; then
		npver=$(python -c 'import random ; print(random.choice(["=1.21", "=1.22", "=1.23", ""]))')
		spver=$(python -c 'import random ; print(random.choice(["=1.8", "=1.9", "=1.10", ""]))')
		pdver=$(python -c 'import random ; print(random.choice(["=1.2", "=1.3", "=1.4", "=1.5", ""]))')
		akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", ""]))')
		akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", "=2.1", ""]))')
		elif [[ ${{ steps.pyver.outputs.selected }} == "3.10" ]]; then
		npver=$(python -c 'import random ; print(random.choice(["=1.21", "=1.22", "=1.23", ""]))')
		spver=$(python -c 'import random ; print(random.choice(["=1.8", "=1.9", "=1.10", ""]))')
		pdver=$(python -c 'import random ; print(random.choice(["=1.3", "=1.4", "=1.5", ""]))')
		akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", ""]))')
		akver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", "=2.0", "=2.1", ""]))')
		else # Python 3.11
		npver=$(python -c 'import random ; print(random.choice(["=1.23", ""]))')
		spver=$(python -c 'import random ; print(random.choice(["=1.9", "=1.10", ""]))')
		pdver=$(python -c 'import random ; print(random.choice(["=1.5", ""]))')
		akver=$(python -c 'import random ; print(random.choice(["=1.10", "=2.0.5", "=2.0.6", "=2.0.7", "=2.0.8", ""]))')
		akver=$(python -c 'import random ; print(random.choice(["=1.10", "=2.0", "=2.1", ""]))')
		fi
		if [[ ${{ steps.sourcetype.outputs.selected }} == "source" \|\| ${{ steps.sourcetype.outputs.selected }} == "upstream" ]]; then
		# TODO: there are currently issues with some numpy versions when
Expand All		@@ -188,7 +189,7 @@ jobs:

		# Once we have wheels for all OSes, we can delete the last two lines.
		mamba install packaging pytest coverage coveralls=3.3.1 pytest-randomly cffi donfig pyyaml${yamlver} sparse${sparsever} \
		pandas${pdver} scipy${spver} numpy${npver} awkward${akver} networkx${nxver} numba${numbaver} \
		pandas${pdver} scipy${spver} numpy${npver} awkward${akver} networkx${nxver} numba${numbaver}fast_matrix_market${fmmver}\
		${{ matrix.slowtask == 'pytest_bizarro' && 'black' \|\| '' }} \
		${{ matrix.slowtask == 'notebooks' && 'matplotlib nbconvert jupyter "ipython>=7"' \|\| '' }} \
		${{ steps.sourcetype.outputs.selected == 'upstream' && 'cython' \|\| '' }} \
Expand Down
Original file line number	Diff line number	Diff line change
Expand Up		@@ -24,15 +24,13 @@ repos:
		hooks:
		- id: validate-pyproject
		name: Validate pyproject.toml
		- repo: https://github.com/myint/autoflake
		rev: v2.0.1
		hooks:
		- id: autoflake
		args: [--in-place]
		# We can probably remove `isort` if we come to trust `ruff --fix`,
		# but we'll need to figure out the configuration to do this in `ruff`
		- repo: https://github.com/pycqa/isort
		rev: 5.12.0
		hooks:
		- id: isort
		# Let's keep `pyupgrade` even though `ruff --fix` probably does most of it
		- repo: https://github.com/asottile/pyupgrade
		rev: v3.3.1
		hooks:
Expand All		@@ -48,37 +46,50 @@ repos:
		hooks:
		- id: black
		- id: black-jupyter
		- repo: https://github.com/charliermarsh/ruff-pre-commit
		rev: v0.0.257
		hooks:
		- id: ruff
		args: [--fix-only]
		# Let's keep `flake8` even though `ruff` does much of the same.
		# `flake8-bugbear` and `flake8-simplify` have caught things missed by `ruff`.
		- repo: https://github.com/PyCQA/flake8
		rev: 6.0.0
		hooks:
		- id: flake8
		additional_dependencies: &flake8_dependencies
		# These versions need updated manually
		- flake8==6.0.0
		- flake8-comprehensions==3.10.1
		- flake8-bugbear==23.2.13
		- flake8-bugbear==23.3.12
		- flake8-simplify==0.19.3
		- repo: https://github.com/asottile/yesqa
		rev: v1.4.0
		hooks:
		- id: yesqa
		additional_dependencies: *flake8_dependencies
		- repo: https://github.com/codespell-project/codespell
		rev: v2.2.2
		rev: v2.2.4
		hooks:
		- id: codespell
		types_or: [python, rst, markdown]
		additional_dependencies: [tomli]
		files: ^(graphblas\|docs)/
		- repo: https://github.com/charliermarsh/ruff-pre-commit
		rev: v0.0.252
		rev: v0.0.257
		hooks:
		- id: ruff
		- repo: https://github.com/sphinx-contrib/sphinx-lint
		rev: v0.6.7
		hooks:
		- id: sphinx-lint
		args: [--enable, all, "--disable=line-too-long,leaked-markup"]
		# `pyroma` may help keep our package standards up to date if best practices change.
		# This is probably a "low value" check though and safe to remove if we want faster pre-commit.
		- repo: https://github.com/regebro/pyroma
		rev: "4.2"
		hooks:
		- id: pyroma
		args: [-n, "10", .]
		- repo: local
		hooks:
		# Add `--hook-stage manual` to pre-commit command to run (very slow)
Expand Down
Original file line number	Diff line number	Diff line change
Expand Up		@@ -40,7 +40,8 @@ The following are not required by python-graphblas, but may be needed for certai
		- `pandas` – required for nicer `__repr__`;
		- `matplotlib` – required for basic plotting of graphs;
		- `scipy` – used in io module to read/write `scipy.sparse` format;
		- `networkx` – used in `io` module to interface with `networkx` graphs.
		- `networkx` – used in `io` module to interface with `networkx` graphs;
		- `fast-matrix-market` - for faster read/write of Matrix Market files with `gb.io.mmread` and `gb.io.mmwrite`.

		## Description
		Currently works with [SuiteSparse:GraphBLAS](https://github.com/DrTimothyAldenDavis/GraphBLAS), but the goal is to make it work with all implementations of the GraphBLAS spec.
Expand Down
Original file line number	Diff line number	Diff line change
Expand Up		@@ -6,6 +6,7 @@ pyyaml
		pandas
		# For I/O
		awkward
		fast_matrix_market
		networkx
		scipy
		sparse
Expand All		@@ -16,6 +17,7 @@ matplotlib
		# For linting
		pre-commit
		# For testing
		packaging
		pytest-cov
		# For debugging
		icecream
Expand Down
Original file line number	Diff line number	Diff line change
Expand Up		@@ -34,6 +34,7 @@ to work.
		- `matplotlib <https://matplotlib.org>`__ -- required for basic plotting of graphs
		- `scipy <https://scipy.org/>`__ -- used in ``io`` module to read/write ``scipy.sparse`` format
		- `networkx <https://networkx.org>`__ -- used in ``io`` module to interface with networkx graphs
		- `fast-matrix-market <https://github.com/alugowski/fast_matrix_market>`__ -- for faster read/write of Matrix Market files with ``gb.io.mmread`` and ``gb.io.mmwrite``

		GraphBLAS Fundamentals
		----------------------
Expand Down
Original file line number	Diff line number	Diff line change
Expand Up		@@ -129,3 +129,19 @@ Note that A is unchanged in the above example.
		The SuiteSparse export has a ``give_ownership`` option. This performs a zero-copy
		move operation and invalidates the original python-graphblas object. When extreme speed is needed or memory is
		too limited to make a copy, this option may be needed.

		Matrix Market files
		-------------------

		The `Matrix Market file format <https://math.nist.gov/MatrixMarket/formats.html>`_ is a common
		file format for storing sparse arrays in human-readable ASCII.
		Matrix Market files--also called MM files--often use ".mtx" file extension.
		For example, many datasets in MM format can be found in `the SuiteSparse Matrix Collection <https://sparse.tamu.edu/>`_.

		Use ``gb.io.mmread()`` to read a Matrix Market file to a python-graphblas Matrix,
		and ``gb.io.mmwrite()`` to write a Matrix to a Matrix Market file.
		These names match the equivalent functions in `scipy.sparse <https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.mmread.html>`_.

		``scipy`` is required to be installed to read Matrix Market files.
		If ``fast_matrix_market`` is installed, it will be used by default for
		`much better performance <https://github.com/alugowski/fast_matrix_market>`_.
Original file line number	Diff line number	Diff line change
Expand Up		@@ -23,7 +23,7 @@ dependencies:
		- pandas
		# For I/O
		- awkward
		#- fast_matrix_market # Coming soon...
		- fast_matrix_market
		- networkx
		- scipy
		- sparse
Expand Down
Original file line number	Diff line number	Diff line change
Expand Up		@@ -160,9 +160,8 @@ def parse_indices(self, indices, shape):
		raise TypeError(f"Index for {type(self.obj).__name__} cannot be a tuple")
		# Convert to tuple for consistent processing
		indices = (indices,)
		else: # len(shape) == 2
		if type(indices) is not tuple or len(indices) != 2:
		raise TypeError(f"Index for {type(self.obj).__name__} must be a 2-tuple")
		elif type(indices) is not tuple or len(indices) != 2:
		raise TypeError(f"Index for {type(self.obj).__name__} must be a 2-tuple")

		out = []
		for i, idx in enumerate(indices):
Expand Down
Original file line number	Diff line number	Diff line change
Expand Up		@@ -3154,14 +3154,11 @@ def _prep_for_assign(self, resolved_indexes, value, mask, is_submask, replace, o
		mask = _vanilla_subassign_mask(
		self, mask, rowidx, colidx, replace, opts
		)
		elif backend == "suitesparse":
		cfunc_name = "GxB_Matrix_subassign_Scalar"
		else:
		if backend == "suitesparse":
		cfunc_name = "GxB_Matrix_subassign_Scalar"
		else:
		cfunc_name = "GrB_Matrix_assign_Scalar"
		mask = _vanilla_subassign_mask(
		self, mask, rowidx, colidx, replace, opts
		)
		cfunc_name = "GrB_Matrix_assign_Scalar"
		mask = _vanilla_subassign_mask(self, mask, rowidx, colidx, replace, opts)
		expr_repr = (
		"[[{2._expr_name} rows], [{4._expr_name} cols]]"
		f"({mask.name})"
Expand Down
Original file line number	Diff line number	Diff line change
Expand Up		@@ -895,9 +895,8 @@ def _export(self, format=None, *, sort=False, give_ownership=False, raw=False, m
		if is_iso:
		if values.size > 1: # pragma: no branch (suitesparse)
		values = values[:1]
		else:
		if values.size > nvals: # pragma: no branch (suitesparse)
		values = values[:nvals]
		elif values.size > nvals: # pragma: no branch (suitesparse)
		values = values[:nvals]
		# Note: nvals is also at `indptr[nrows]`
		rv = {
		"indptr": indptr,
Expand DownExpand Up		@@ -937,9 +936,8 @@ def _export(self, format=None, *, sort=False, give_ownership=False, raw=False, m
		if is_iso:
		if values.size > 1: # pragma: no cover (suitesparse)
		values = values[:1]
		else:
		if values.size > nvals:
		values = values[:nvals]
		elif values.size > nvals:
		values = values[:nvals]
		# Note: nvals is also at `indptr[ncols]`
		rv = {
		"indptr": indptr,
Expand DownExpand Up		@@ -989,9 +987,8 @@ def _export(self, format=None, *, sort=False, give_ownership=False, raw=False, m
		if is_iso:
		if values.size > 1: # pragma: no cover (suitesparse)
		values = values[:1]
		else:
		if values.size > nvals:
		values = values[:nvals]
		elif values.size > nvals:
		values = values[:nvals]
		# Note: nvals is also at `indptr[nvec]`
		rv = {
		"indptr": indptr,
Expand DownExpand Up		@@ -1044,9 +1041,8 @@ def _export(self, format=None, *, sort=False, give_ownership=False, raw=False, m
		if is_iso:
		if values.size > 1: # pragma: no cover (suitesparse)
		values = values[:1]
		else:
		if values.size > nvals:
		values = values[:nvals]
		elif values.size > nvals:
		values = values[:nvals]
		# Note: nvals is also at `indptr[nvec]`
		rv = {
		"indptr": indptr,
Expand DownExpand Up		@@ -3480,15 +3476,10 @@ def _import_any(
		format = "cooc"
		else:
		format = "coo"
		elif isinstance(values, np.ndarray) and values.ndim == 2 and values.flags.f_contiguous:
		format = "fullc"
		else:
		if (
		isinstance(values, np.ndarray)
		and values.ndim == 2
		and values.flags.f_contiguous
		):
		format = "fullc"
		else:
		format = "fullr"
		format = "fullr"
		else:
		format = format.lower()
		if method == "pack":
Expand Down