#  Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
#  See https://llvm.org/LICENSE.txt for license information.
#  SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception

#  This file contains the sparse compiler class. It is copied from
#  test/Integration/Dialect/SparseTensor/python/ until we have a better
#  solution.

from mlir import execution_engine
from mlir import ir
from mlir import passmanager
from typing import Sequence


class SparseCompiler:
  """Sparse compiler class for compiling and building MLIR modules."""

  def __init__(self, options: str, opt_level: int, shared_libs: Sequence[str]):
    pipeline = f'builtin.module(sparse-compiler{{{options} reassociate-fp-reductions=1 enable-index-optimizations=1}})'
    self.pipeline = pipeline
    self.opt_level = opt_level
    self.shared_libs = shared_libs

  def __call__(self, module: ir.Module):
    """Convenience application method."""
    self.compile(module)

  def compile(self, module: ir.Module):
    """Compiles the module by invoking the sparse copmiler pipeline."""
    passmanager.PassManager.parse(self.pipeline).run(module)

  def jit(self, module: ir.Module) -> execution_engine.ExecutionEngine:
    """Wraps the module in a JIT execution engine."""
    return execution_engine.ExecutionEngine(
        module, opt_level=self.opt_level, shared_libs=self.shared_libs)

  def compile_and_jit(self,
                      module: ir.Module) -> execution_engine.ExecutionEngine:
    """Compiles and jits the module."""
    self.compile(module)
    return self.jit(module)
