// Copyright 2016 The TensorFlow Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

package op

import (
	"fmt"
	"testing"

	tf "github.com/tensorflow/tensorflow/tensorflow/go"
)

func TestScopeSubScope(t *testing.T) {
	var (
		root  = NewScope()
		sub1  = root.SubScope("x")
		sub2  = root.SubScope("x")
		sub1a = sub1.SubScope("y")
		sub2a = sub2.SubScope("y")
	)
	testdata := []struct {
		scope *Scope
		name  string
	}{
		{root, "Const"},
		{sub1, "x/Const"},
		{sub1a, "x/y/Const"},
		{sub2, "x_1/Const"},
		{sub2a, "x_1/y/Const"},
	}
	for _, test := range testdata {
		c := Const(test.scope, int64(1))
		if err := test.scope.Err(); err != nil {
			t.Fatalf("%q: %v", test.name, err)
		}
		if got := c.Op.Name(); got != test.name {
			t.Errorf("%q: Got %q", test.name, got)
		}
	}
}

func TestScopeSubScopeErrors(t *testing.T) {
	var (
		root = NewScope()
		sub  = root.SubScope("x")
	)
	// Error on the root, even after sub has been created should be propagated.
	// Force an error by creating a Const which has a type that does not
	// translate to the TensorFlow type system.
	Const(root, int(1))
	if err := root.Err(); err == nil {
		t.Fatal("Expected error")
	}
	if err := sub.Err(); err == nil {
		t.Errorf("Root scope had error [%v], but sub-scope did not", root.Err())
	}
}

func TestScopeFinalize(t *testing.T) {
	var (
		root = NewScope()
		sub1 = root.SubScope("x")
		sub2 = sub1.SubScope("y")
	)
	if _, err := sub1.Finalize(); err != nil {
		t.Fatal(err)
	}
	if err := root.Err(); err == nil {
		t.Error("Root scope's Err() should be non-nil once Finalize has been called")
	}
	if err := sub2.Err(); err == nil {
		t.Error("Sub scope's Err() should be non-nil once Finalize has been called")
	}
}

func TestMultipleGeneratedOps(t *testing.T) {
	s := NewScope()
	Placeholder(s.SubScope("x"), tf.Float)
	Placeholder(s.SubScope("y"), tf.Float)
	if _, err := s.Finalize(); err != nil {
		t.Fatal(err)
	}
}

func Example() {
	// This example creates a Graph that multiplies a constant matrix with
	// a matrix to be provided during graph execution (via
	// tensorflow.Session).
	s := NewScope()
	input := Placeholder(s, tf.Float) // Matrix to be provided to Session.Run
	output := MatMul(s,
		Const(s, [][]float32{{10}, {20}}), // Constant 2x1 matrix
		input,
		MatMulTransposeB(true))
	if s.Err() != nil {
		panic(s.Err())
	}
	// Shape of the product: The number of rows is fixed by m1, but the
	// number of columns will depend on m2, which is unknown.
	fmt.Println(output.Shape())
	// Output: [2, ?]
}

func ExampleScope_SubScope() {
	var (
		s  = NewScope()
		c1 = Const(s.SubScope("x"), int64(1))
		c2 = Const(s.SubScope("x"), int64(1))
	)
	if s.Err() != nil {
		panic(s.Err())
	}
	fmt.Println(c1.Op.Name(), c2.Op.Name())
	// Output: x/Const x_1/Const
}
