}
	return nil, false
}

// mockTypeResolverForOptional behaves the same as mockTypeResolver
// except returning a mockTypeRefForOptional instead of mockTypeRef
type mockTypeResolverForOptional struct {
	*mockTypeResolver
}

// mockTypeRefForOptional behaves the same as the underlying TypeRef
// except treating "nonExisting" field as non-existing.
// This is used for optional tests.
type mockTypeRefForOptional struct {

  selfLink: selfLinkValue
  uid: uidValue
spec:
  egress:
  - ports:
    - endPort: 3
      port: portValue
      protocol: protocolValue
    to:
    - ipBlock:
        cidr: cidrValue
        except:
        - exceptValue
      namespaceSelector:
        matchExpressions:
        - key: keyValue
          operator: operatorValue
          values:
          - valuesValue
        matchLabels:

  selfLink: selfLinkValue
  uid: uidValue
spec:
  egress:
  - ports:
    - endPort: 3
      port: portValue
      protocol: protocolValue
    to:
    - ipBlock:
        cidr: cidrValue
        except:
        - exceptValue
      namespaceSelector:
        matchExpressions:
        - key: keyValue
          operator: operatorValue
          values:
          - valuesValue
        matchLabels:

  selfLink: selfLinkValue
  uid: uidValue
spec:
  egress:
  - ports:
    - endPort: 3
      port: portValue
      protocol: protocolValue
    to:
    - ipBlock:
        cidr: cidrValue
        except:
        - exceptValue
      namespaceSelector:
        matchExpressions:
        - key: keyValue
          operator: operatorValue
          values:
          - valuesValue
        matchLabels:

# does not have "python", "core" directories. Then, it will be copied
# to tensorflow/ which does have these two directories.
try:
  del python
except NameError:
  pass
try:
  del core
except NameError:
  pass
try:
  del compiler
except NameError:
  pass

  selfLink: selfLinkValue
  uid: uidValue
spec:
  egress:
  - ports:
    - endPort: 3
      port: portValue
      protocol: protocolValue
    to:
    - ipBlock:
        cidr: cidrValue
        except:
        - exceptValue
      namespaceSelector:
        matchExpressions:
        - key: keyValue
          operator: operatorValue
          values:
          - valuesValue
        matchLabels:

/*
 * Copyright 2017 the original author or authors.
 *
 * 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,

/*
 * Copyright 2022 the original author or authors.
 *
 * 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,

/*
 * Copyright 2024 the original author or authors.
 *
 * 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,

      try:
        exported_graph.get_tensor_by_name(tensor_info.name)
      except KeyError as exc:
        try:
          prefixed_name = signature_key + '_' + tensor_info.name
          exported_graph.get_tensor_by_name(prefixed_name)
          tensor_info.name = prefixed_name
        except KeyError:
          raise ValueError(
              'Cannot find the input tensor with name %s in the graph.'