proc len(v: SparseVector): int {...}{.inline.}
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proc nnz(v: SparseVector): int32 {...}{.inline.}
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proc rowLen(m: SparseMatrix): int32
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proc colLen(m: SparseMatrix): int32
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proc sparseVector[A](N: int32; indices: seq[int32]; vals: seq[A]): SparseVector[A]
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proc sparseMatrix[A: Scalar](kind: SparseMatrixKind; M, N, nnz: int32;
rows, cols: seq[int32]; vals: seq[A]): SparseMatrix[A]
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proc csr[A: Scalar](rows, cols: seq[int32]; vals: seq[A]; numCols: int32): SparseMatrix[A]
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proc csc[A: Scalar](rows, cols: seq[int32]; vals: seq[A]; numRows: int32): SparseMatrix[A]
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proc coo[A: Scalar](rows, cols: seq[int32]; vals: seq[A]; numRows, numCols: int32): SparseMatrix[
A]
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proc dense[A](v: SparseVector[A]): Vector[A]
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proc dense[A](m: SparseMatrix[A]; order = colMajor): Matrix[A]
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proc `==`[A](v, w: SparseVector[A]): bool
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proc `==`[A](m, n: SparseMatrix[A]): bool
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proc `$`[A](v: SparseVector[A]): string
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proc `$`[A](m: SparseMatrix[A]): string
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