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//! Ops
use std::fmt::Debug;

use downcast_rs::Downcast;

use objekt;

#[macro_use]
pub mod macros;

pub mod array;
pub mod cast;
pub mod cnn;
pub mod identity;
#[cfg(features = "image_ops")]
pub mod image;
pub mod konst;
pub mod logic;
pub mod math;
pub mod nn;
pub mod source;
pub mod unimpl;

pub fn check_input_arity(inputs: &[TensorProxy], expected: usize) -> TractResult<()> {
    if inputs.len() != expected {
        bail!("Wrong input number. Rules expect {}, node has {}.", expected, inputs.len())
    } else {
        Ok(())
    }
}

pub fn check_output_arity(outputs: &[TensorProxy], expected: usize) -> TractResult<()> {
    if outputs.len() != expected {
        bail!("Wrong output number. Rules expect {}, node has {}.", expected, outputs.len())
    } else {
        Ok(())
    }
}

#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub enum Cost {
    FMA(DatumType),
}

use crate::internal::*;

pub trait OpState: Debug + Send + objekt::Clone {
    fn eval(
        &mut self,
        session: &mut SessionState,
        op: &Op,
        inputs: TVec<Arc<Tensor>>,
    ) -> TractResult<TVec<Arc<Tensor>>>;
}

pub trait StatelessOp: Op {
    fn eval(&self, inputs: TVec<Arc<Tensor>>) -> TractResult<TVec<Arc<Tensor>>>;
}

pub trait StatefullOp {
    fn state(&self, _session: &mut SessionState) -> TractResult<Option<Box<OpState>>>;
    fn as_stateless(&self) -> Option<&StatelessOp> {
        None
    }
}

impl<O: StatelessOp + Clone> StatefullOp for O {
    fn state(&self, _session: &mut SessionState) -> TractResult<Option<Box<OpState>>> {
        Ok(None)
    }

    fn as_stateless(&self) -> Option<&StatelessOp> {
        Some(self)
    }
}

/// A Arc<Tensor> operation.
impl_downcast!(Op);
pub trait Op:
    Debug + objekt::Clone + Send + Sync + 'static + InferenceOp + Downcast + StatefullOp
{
    fn name(&self) -> Cow<str>;

    /// Infers properties about the input and output tensors.
    ///
    /// The `inputs` and `outputs` arguments correspond to properties about
    /// the input and output tensors that are already known.
    ///
    /// Returns Err in case of an unrecoverable error during the inference,
    /// and the refined properties about the inputs and outputs otherwise.
    fn infer(
        &self,
        inputs: TVec<&TensorFact>,
        outputs: TVec<&TensorFact>,
    ) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)> {
        let (infered_inputs, infered_outputs) = self.infer_facts(inputs, outputs)?;

        if let Some(stateless) = self.as_stateless() {
            if infered_inputs.iter().all(|i| i.value.is_concrete()) {
                let input_values = infered_inputs
                    .iter()
                    .map(|i| i.value.concretize().unwrap().clone().into())
                    .collect(); // checked
                let output_values = stateless
                    .eval(input_values)?
                    .into_iter()
                    .map(|t| t.into())
                    .collect::<TVec<_>>();
                return Ok((infered_inputs, output_values));
            }
        }

        Ok((infered_inputs, infered_outputs))
    }

    fn declutter(
        &self,
        _model: &TypedModel,
        _node: &TypedNode,
    ) -> TractResult<Option<TypedModelPatch>> {
        Ok(None)
    }

    fn pulsify(
        &self,
        _source: &NormalizedModel,
        _node: &NormalizedNode,
        _target: &mut PulsedModel,
        _mapping: &HashMap<OutletId, OutletId>,
    ) -> TractResult<TVec<OutletId>> {
        bail!("Operator {} do not support pulsification", self.name())
    }

    fn codegen(
        &self,
        _model: &TypedModel,
        _node: &TypedNode,
    ) -> TractResult<Option<TypedModelPatch>> {
        Ok(None)
    }

    fn cost(&self, _inputs: &[&TypedTensorInfo]) -> TractResult<TVec<(Cost, TDim)>> {
        Ok(tvec!())
    }

    fn rounding_errors(&self) -> bool {
        false
    }

    fn same_as(&self, _other: &Op) -> bool {
        false
    }

    fn info(&self) -> TractResult<Option<String>> {
        Ok(None)
    }
}

pub trait InferenceOp {
    fn infer_facts(
        &self,
        inputs: TVec<&TensorFact>,
        outputs: TVec<&TensorFact>,
    ) -> TractResult<(TVec<TensorFact>, TVec<TensorFact>)>;
}

clone_trait_object!(Op);
clone_trait_object!(StatelessOp);

impl<O: Op> From<O> for Box<Op> {
    fn from(it: O) -> Box<Op> {
        Box::new(it)
    }
}