// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

// TODO: this is the same naive implementation we use for reduce that has
// performance limitations when the reduced axis is long. Need to add
// a optimized codepath for this.

import {DataType} from '../../../wasm-common';
import {TensorView} from '../../tensor-view';
import {AttributeWithCacheKey, createAttributeWithCacheKey} from '../attribute-with-cache-key';
import {ComputeContext} from '../types';

import {createReduceProgramInfo, ReduceOp} from './reduce';

const validateInputs = (inputs: readonly TensorView[]): void => {
  if (!inputs || inputs.length === 0 || inputs.length > 2) {
    throw new Error('ArgMinMaxOp op requires 1 or 2 inputs.');
  }
  if (inputs[0].dataType !== DataType.float) {
    throw new Error('Invalid input type.');
  }
};

export interface ArgMinMaxAttributes extends AttributeWithCacheKey {
  keepDims: boolean;
  axis: number;
  selectLastIndex: number;
}

export const argMin = (context: ComputeContext, attributes: ArgMinMaxAttributes): void => {
  validateInputs(context.inputs);
  const argMinMaxOp: ReduceOp = (input, output, axes) => {
    const idxZero = [];
    for (let k = 0; k < input.rank; k++) {
      if (axes.indexOf(k) >= 0 || axes.length === 0) {
        idxZero.push(`input_indices[${k}] = 0;`);  // first element
      }
    }
    return [
      `${idxZero.join('\n')}`, `var value = ${input.getByIndices('input_indices')};\nvar best_index : i32 = 0;`,
      `if (${input.getByIndices('input_indices')} ${attributes.selectLastIndex > 0 ? '<=' : '<'} value) {
         value = ${input.getByIndices('input_indices')};
         best_index = i32(last_index);
       }`,
      '', output.setByOffset('global_idx', 'best_index')
    ];
  };

  context.compute(
      createReduceProgramInfo(
          'ArgMin', {hint: attributes.cacheKey, inputDependencies: ['rank']}, [context.inputs[0]], argMinMaxOp,
          [attributes.axis], DataType.int64, attributes.keepDims),
      {inputs: [0]});
};

export const argMax = (context: ComputeContext, attributes: ArgMinMaxAttributes): void => {
  validateInputs(context.inputs);
  const argMinMaxOp: ReduceOp = (input, output, axes) => {
    const idxZero = [];
    for (let k = 0; k < input.rank; k++) {
      if (axes.indexOf(k) >= 0 || axes.length === 0) {
        idxZero.push(`input_indices[${k}] = 0;`);  // first element
      }
    }
    return [
      `${idxZero.join('\n')}`, `var value = ${input.getByIndices('input_indices')};\nvar best_index : i32 = 0;`,
      `if (${input.getByIndices('input_indices')} ${attributes.selectLastIndex > 0 ? '>=' : '>'} value) {
         value = ${input.getByIndices('input_indices')};
         best_index = i32(last_index);
       }`,
      '', output.setByOffset('global_idx', 'best_index')
    ];
  };

  context.compute(
      createReduceProgramInfo(
          'argMax', {hint: attributes.cacheKey, inputDependencies: ['rank']}, [context.inputs[0]], argMinMaxOp,
          [attributes.axis], DataType.int64, attributes.keepDims),
      {inputs: [0]});
};

export const parseArgMinMaxAttributes = (attributes: Record<string, unknown>): ArgMinMaxAttributes =>
    createAttributeWithCacheKey(attributes as Omit<ArgMinMaxAttributes, keyof AttributeWithCacheKey>);