// This is a generated file (see the discoveryapis_generator project).

library googleapis.speech.v1;

import 'dart:core' as core;
import 'dart:async' as async;
import 'dart:convert' as convert;

import 'package:_discoveryapis_commons/_discoveryapis_commons.dart' as commons;
import 'package:http/http.dart' as http;

export 'package:_discoveryapis_commons/_discoveryapis_commons.dart'
    show ApiRequestError, DetailedApiRequestError;

const core.String USER_AGENT = 'dart-api-client speech/v1';

/// Converts audio to text by applying powerful neural network models.
class SpeechApi {
  /// View and manage your data across Google Cloud Platform services
  static const CloudPlatformScope =
      "https://www.googleapis.com/auth/cloud-platform";

  final commons.ApiRequester _requester;

  OperationsResourceApi get operations => new OperationsResourceApi(_requester);
  SpeechResourceApi get speech => new SpeechResourceApi(_requester);

  SpeechApi(http.Client client,
      {core.String rootUrl: "https://speech.googleapis.com/",
      core.String servicePath: ""})
      : _requester =
            new commons.ApiRequester(client, rootUrl, servicePath, USER_AGENT);
}

class OperationsResourceApi {
  final commons.ApiRequester _requester;

  OperationsResourceApi(commons.ApiRequester client) : _requester = client;

  /// Gets the latest state of a long-running operation.  Clients can use this
  /// method to poll the operation result at intervals as recommended by the API
  /// service.
  ///
  /// Request parameters:
  ///
  /// [name] - The name of the operation resource.
  /// Value must have pattern "^[^/]+$".
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Operation].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<Operation> get(core.String name, {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (name == null) {
      throw new core.ArgumentError("Parameter name is required.");
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/operations/' + commons.Escaper.ecapeVariableReserved('$name');

    var _response = _requester.request(_url, "GET",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new Operation.fromJson(data));
  }
}

class SpeechResourceApi {
  final commons.ApiRequester _requester;

  SpeechResourceApi(commons.ApiRequester client) : _requester = client;

  /// Performs asynchronous speech recognition: receive results via the
  /// google.longrunning.Operations interface. Returns either an
  /// `Operation.error` or an `Operation.response` which contains
  /// a `LongRunningRecognizeResponse` message.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [Operation].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<Operation> longrunningrecognize(
      LongRunningRecognizeRequest request,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/speech:longrunningrecognize';

    var _response = _requester.request(_url, "POST",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new Operation.fromJson(data));
  }

  /// Performs synchronous speech recognition: receive results after all audio
  /// has been sent and processed.
  ///
  /// [request] - The metadata request object.
  ///
  /// Request parameters:
  ///
  /// [$fields] - Selector specifying which fields to include in a partial
  /// response.
  ///
  /// Completes with a [RecognizeResponse].
  ///
  /// Completes with a [commons.ApiRequestError] if the API endpoint returned an
  /// error.
  ///
  /// If the used [http.Client] completes with an error when making a REST call,
  /// this method will complete with the same error.
  async.Future<RecognizeResponse> recognize(RecognizeRequest request,
      {core.String $fields}) {
    var _url = null;
    var _queryParams = new core.Map();
    var _uploadMedia = null;
    var _uploadOptions = null;
    var _downloadOptions = commons.DownloadOptions.Metadata;
    var _body = null;

    if (request != null) {
      _body = convert.JSON.encode((request).toJson());
    }
    if ($fields != null) {
      _queryParams["fields"] = [$fields];
    }

    _url = 'v1/speech:recognize';

    var _response = _requester.request(_url, "POST",
        body: _body,
        queryParams: _queryParams,
        uploadOptions: _uploadOptions,
        uploadMedia: _uploadMedia,
        downloadOptions: _downloadOptions);
    return _response.then((data) => new RecognizeResponse.fromJson(data));
  }
}

/// The top-level message sent by the client for the `LongRunningRecognize`
/// method.
class LongRunningRecognizeRequest {
  /// *Required* The audio data to be recognized.
  RecognitionAudio audio;

  /// *Required* Provides information to the recognizer that specifies how to
  /// process the request.
  RecognitionConfig config;

  LongRunningRecognizeRequest();

  LongRunningRecognizeRequest.fromJson(core.Map _json) {
    if (_json.containsKey("audio")) {
      audio = new RecognitionAudio.fromJson(_json["audio"]);
    }
    if (_json.containsKey("config")) {
      config = new RecognitionConfig.fromJson(_json["config"]);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (audio != null) {
      _json["audio"] = (audio).toJson();
    }
    if (config != null) {
      _json["config"] = (config).toJson();
    }
    return _json;
  }
}

/// This resource represents a long-running operation that is the result of a
/// network API call.
class Operation {
  /// If the value is `false`, it means the operation is still in progress.
  /// If `true`, the operation is completed, and either `error` or `response` is
  /// available.
  core.bool done;

  /// The error result of the operation in case of failure or cancellation.
  Status error;

  /// Service-specific metadata associated with the operation.  It typically
  /// contains progress information and common metadata such as create time.
  /// Some services might not provide such metadata.  Any method that returns a
  /// long-running operation should document the metadata type, if any.
  ///
  /// The values for Object must be JSON objects. It can consist of `num`,
  /// `String`, `bool` and `null` as well as `Map` and `List` values.
  core.Map<core.String, core.Object> metadata;

  /// The server-assigned name, which is only unique within the same service
  /// that
  /// originally returns it. If you use the default HTTP mapping, the
  /// `name` should have the format of `operations/some/unique/name`.
  core.String name;

  /// The normal response of the operation in case of success.  If the original
  /// method returns no data on success, such as `Delete`, the response is
  /// `google.protobuf.Empty`.  If the original method is standard
  /// `Get`/`Create`/`Update`, the response should be the resource.  For other
  /// methods, the response should have the type `XxxResponse`, where `Xxx`
  /// is the original method name.  For example, if the original method name
  /// is `TakeSnapshot()`, the inferred response type is
  /// `TakeSnapshotResponse`.
  ///
  /// The values for Object must be JSON objects. It can consist of `num`,
  /// `String`, `bool` and `null` as well as `Map` and `List` values.
  core.Map<core.String, core.Object> response;

  Operation();

  Operation.fromJson(core.Map _json) {
    if (_json.containsKey("done")) {
      done = _json["done"];
    }
    if (_json.containsKey("error")) {
      error = new Status.fromJson(_json["error"]);
    }
    if (_json.containsKey("metadata")) {
      metadata = _json["metadata"];
    }
    if (_json.containsKey("name")) {
      name = _json["name"];
    }
    if (_json.containsKey("response")) {
      response = _json["response"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (done != null) {
      _json["done"] = done;
    }
    if (error != null) {
      _json["error"] = (error).toJson();
    }
    if (metadata != null) {
      _json["metadata"] = metadata;
    }
    if (name != null) {
      _json["name"] = name;
    }
    if (response != null) {
      _json["response"] = response;
    }
    return _json;
  }
}

/// Contains audio data in the encoding specified in the `RecognitionConfig`.
/// Either `content` or `uri` must be supplied. Supplying both or neither
/// returns google.rpc.Code.INVALID_ARGUMENT. See
/// [audio limits](https://cloud.google.com/speech/limits#content).
class RecognitionAudio {
  /// The audio data bytes encoded as specified in
  /// `RecognitionConfig`. Note: as with all bytes fields, protobuffers use a
  /// pure binary representation, whereas JSON representations use base64.
  core.String content;
  core.List<core.int> get contentAsBytes {
    return convert.BASE64.decode(content);
  }

  void set contentAsBytes(core.List<core.int> _bytes) {
    content =
        convert.BASE64.encode(_bytes).replaceAll("/", "_").replaceAll("+", "-");
  }

  /// URI that points to a file that contains audio data bytes as specified in
  /// `RecognitionConfig`. Currently, only Google Cloud Storage URIs are
  /// supported, which must be specified in the following format:
  /// `gs://bucket_name/object_name` (other URI formats return
  /// google.rpc.Code.INVALID_ARGUMENT). For more information, see
  /// [Request URIs](https://cloud.google.com/storage/docs/reference-uris).
  core.String uri;

  RecognitionAudio();

  RecognitionAudio.fromJson(core.Map _json) {
    if (_json.containsKey("content")) {
      content = _json["content"];
    }
    if (_json.containsKey("uri")) {
      uri = _json["uri"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (content != null) {
      _json["content"] = content;
    }
    if (uri != null) {
      _json["uri"] = uri;
    }
    return _json;
  }
}

/// Provides information to the recognizer that specifies how to process the
/// request.
class RecognitionConfig {
  /// *Optional* If `true`, the top result includes a list of words and the
  /// confidence for those words. If `false`, no word-level confidence
  /// information is returned. The default is `false`.
  core.bool enableWordConfidence;

  /// *Optional* If `true`, the top result includes a list of words and
  /// the start and end time offsets (timestamps) for those words. If
  /// `false`, no word-level time offset information is returned. The default is
  /// `false`.
  core.bool enableWordTimeOffsets;

  /// *Required* Encoding of audio data sent in all `RecognitionAudio` messages.
  /// Possible string values are:
  /// - "ENCODING_UNSPECIFIED" : Not specified.
  /// - "LINEAR16" : Uncompressed 16-bit signed little-endian samples (Linear
  /// PCM).
  /// - "FLAC" : [`FLAC`](https://xiph.org/flac/documentation.html) (Free
  /// Lossless Audio
  /// Codec) is the recommended encoding because it is
  /// lossless--therefore recognition is not compromised--and
  /// requires only about half the bandwidth of `LINEAR16`. `FLAC` stream
  /// encoding supports 16-bit and 24-bit samples, however, not all fields in
  /// `STREAMINFO` are supported.
  /// - "MULAW" : 8-bit samples that compand 14-bit audio samples using G.711
  /// PCMU/mu-law.
  /// - "AMR" : Adaptive Multi-Rate Narrowband codec. `sample_rate_hertz` must
  /// be 8000.
  /// - "AMR_WB" : Adaptive Multi-Rate Wideband codec. `sample_rate_hertz` must
  /// be 16000.
  /// - "OGG_OPUS" : Opus encoded audio frames in Ogg container
  /// ([OggOpus](https://wiki.xiph.org/OggOpus)).
  /// `sample_rate_hertz` must be one of 8000, 12000, 16000, 24000, or 48000.
  /// - "SPEEX_WITH_HEADER_BYTE" : Although the use of lossy encodings is not
  /// recommended, if a very low
  /// bitrate encoding is required, `OGG_OPUS` is highly preferred over
  /// Speex encoding. The [Speex](https://speex.org/)  encoding supported by
  /// Cloud Speech API has a header byte in each block, as in MIME type
  /// `audio/x-speex-with-header-byte`.
  /// It is a variant of the RTP Speex encoding defined in
  /// [RFC 5574](https://tools.ietf.org/html/rfc5574).
  /// The stream is a sequence of blocks, one block per RTP packet. Each block
  /// starts with a byte containing the length of the block, in bytes, followed
  /// by one or more frames of Speex data, padded to an integral number of
  /// bytes (octets) as specified in RFC 5574. In other words, each RTP header
  /// is replaced with a single byte containing the block length. Only Speex
  /// wideband is supported. `sample_rate_hertz` must be 16000.
  core.String encoding;

  /// *Required* The language of the supplied audio as a
  /// [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
  /// Example: "en-US".
  /// See [Language Support](https://cloud.google.com/speech/docs/languages)
  /// for a list of the currently supported language codes.
  core.String languageCode;

  /// *Optional* Maximum number of recognition hypotheses to be returned.
  /// Specifically, the maximum number of `SpeechRecognitionAlternative`
  /// messages
  /// within each `SpeechRecognitionResult`.
  /// The server may return fewer than `max_alternatives`.
  /// Valid values are `0`-`30`. A value of `0` or `1` will return a maximum of
  /// one. If omitted, will return a maximum of one.
  core.int maxAlternatives;

  /// *Optional* If set to `true`, the server will attempt to filter out
  /// profanities, replacing all but the initial character in each filtered word
  /// with asterisks, e.g. "f***". If set to `false` or omitted, profanities
  /// won't be filtered out.
  core.bool profanityFilter;

  /// *Required* Sample rate in Hertz of the audio data sent in all
  /// `RecognitionAudio` messages. Valid values are: 8000-48000.
  /// 16000 is optimal. For best results, set the sampling rate of the audio
  /// source to 16000 Hz. If that's not possible, use the native sample rate of
  /// the audio source (instead of re-sampling).
  core.int sampleRateHertz;

  /// *Optional* A means to provide context to assist the speech recognition.
  core.List<SpeechContext> speechContexts;

  RecognitionConfig();

  RecognitionConfig.fromJson(core.Map _json) {
    if (_json.containsKey("enableWordConfidence")) {
      enableWordConfidence = _json["enableWordConfidence"];
    }
    if (_json.containsKey("enableWordTimeOffsets")) {
      enableWordTimeOffsets = _json["enableWordTimeOffsets"];
    }
    if (_json.containsKey("encoding")) {
      encoding = _json["encoding"];
    }
    if (_json.containsKey("languageCode")) {
      languageCode = _json["languageCode"];
    }
    if (_json.containsKey("maxAlternatives")) {
      maxAlternatives = _json["maxAlternatives"];
    }
    if (_json.containsKey("profanityFilter")) {
      profanityFilter = _json["profanityFilter"];
    }
    if (_json.containsKey("sampleRateHertz")) {
      sampleRateHertz = _json["sampleRateHertz"];
    }
    if (_json.containsKey("speechContexts")) {
      speechContexts = _json["speechContexts"]
          .map((value) => new SpeechContext.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (enableWordConfidence != null) {
      _json["enableWordConfidence"] = enableWordConfidence;
    }
    if (enableWordTimeOffsets != null) {
      _json["enableWordTimeOffsets"] = enableWordTimeOffsets;
    }
    if (encoding != null) {
      _json["encoding"] = encoding;
    }
    if (languageCode != null) {
      _json["languageCode"] = languageCode;
    }
    if (maxAlternatives != null) {
      _json["maxAlternatives"] = maxAlternatives;
    }
    if (profanityFilter != null) {
      _json["profanityFilter"] = profanityFilter;
    }
    if (sampleRateHertz != null) {
      _json["sampleRateHertz"] = sampleRateHertz;
    }
    if (speechContexts != null) {
      _json["speechContexts"] =
          speechContexts.map((value) => (value).toJson()).toList();
    }
    return _json;
  }
}

/// The top-level message sent by the client for the `Recognize` method.
class RecognizeRequest {
  /// *Required* The audio data to be recognized.
  RecognitionAudio audio;

  /// *Required* Provides information to the recognizer that specifies how to
  /// process the request.
  RecognitionConfig config;

  RecognizeRequest();

  RecognizeRequest.fromJson(core.Map _json) {
    if (_json.containsKey("audio")) {
      audio = new RecognitionAudio.fromJson(_json["audio"]);
    }
    if (_json.containsKey("config")) {
      config = new RecognitionConfig.fromJson(_json["config"]);
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (audio != null) {
      _json["audio"] = (audio).toJson();
    }
    if (config != null) {
      _json["config"] = (config).toJson();
    }
    return _json;
  }
}

/// The only message returned to the client by the `Recognize` method. It
/// contains the result as zero or more sequential `SpeechRecognitionResult`
/// messages.
class RecognizeResponse {
  /// *Output-only* Sequential list of transcription results corresponding to
  /// sequential portions of audio.
  core.List<SpeechRecognitionResult> results;

  RecognizeResponse();

  RecognizeResponse.fromJson(core.Map _json) {
    if (_json.containsKey("results")) {
      results = _json["results"]
          .map((value) => new SpeechRecognitionResult.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (results != null) {
      _json["results"] = results.map((value) => (value).toJson()).toList();
    }
    return _json;
  }
}

/// Provides "hints" to the speech recognizer to favor specific words and
/// phrases
/// in the results.
class SpeechContext {
  /// *Optional* A list of strings containing words and phrases "hints" so that
  /// the speech recognition is more likely to recognize them. This can be used
  /// to improve the accuracy for specific words and phrases, for example, if
  /// specific commands are typically spoken by the user. This can also be used
  /// to add additional words to the vocabulary of the recognizer. See
  /// [usage limits](https://cloud.google.com/speech/limits#content).
  core.List<core.String> phrases;

  SpeechContext();

  SpeechContext.fromJson(core.Map _json) {
    if (_json.containsKey("phrases")) {
      phrases = _json["phrases"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (phrases != null) {
      _json["phrases"] = phrases;
    }
    return _json;
  }
}

/// Alternative hypotheses (a.k.a. n-best list).
class SpeechRecognitionAlternative {
  /// *Output-only* The confidence estimate between 0.0 and 1.0. A higher number
  /// indicates an estimated greater likelihood that the recognized words are
  /// correct. This field is set only for the top alternative of a non-streaming
  /// result or, of a streaming result where `is_final=true`.
  /// This field is not guaranteed to be accurate and users should not rely on
  /// it
  /// to be always provided.
  /// The default of 0.0 is a sentinel value indicating `confidence` was not
  /// set.
  core.double confidence;

  /// *Output-only* Transcript text representing the words that the user spoke.
  core.String transcript;

  /// *Output-only* A list of word-specific information for each recognized
  /// word.
  core.List<WordInfo> words;

  SpeechRecognitionAlternative();

  SpeechRecognitionAlternative.fromJson(core.Map _json) {
    if (_json.containsKey("confidence")) {
      confidence = _json["confidence"];
    }
    if (_json.containsKey("transcript")) {
      transcript = _json["transcript"];
    }
    if (_json.containsKey("words")) {
      words =
          _json["words"].map((value) => new WordInfo.fromJson(value)).toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (confidence != null) {
      _json["confidence"] = confidence;
    }
    if (transcript != null) {
      _json["transcript"] = transcript;
    }
    if (words != null) {
      _json["words"] = words.map((value) => (value).toJson()).toList();
    }
    return _json;
  }
}

/// A speech recognition result corresponding to a portion of the audio.
class SpeechRecognitionResult {
  /// *Output-only* May contain one or more recognition hypotheses (up to the
  /// maximum specified in `max_alternatives`).
  /// These alternatives are ordered in terms of accuracy, with the top (first)
  /// alternative being the most probable, as ranked by the recognizer.
  core.List<SpeechRecognitionAlternative> alternatives;

  SpeechRecognitionResult();

  SpeechRecognitionResult.fromJson(core.Map _json) {
    if (_json.containsKey("alternatives")) {
      alternatives = _json["alternatives"]
          .map((value) => new SpeechRecognitionAlternative.fromJson(value))
          .toList();
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (alternatives != null) {
      _json["alternatives"] =
          alternatives.map((value) => (value).toJson()).toList();
    }
    return _json;
  }
}

/// The `Status` type defines a logical error model that is suitable for
/// different
/// programming environments, including REST APIs and RPC APIs. It is used by
/// [gRPC](https://github.com/grpc). The error model is designed to be:
///
/// - Simple to use and understand for most users
/// - Flexible enough to meet unexpected needs
///
/// # Overview
///
/// The `Status` message contains three pieces of data: error code, error
/// message,
/// and error details. The error code should be an enum value of
/// google.rpc.Code, but it may accept additional error codes if needed.  The
/// error message should be a developer-facing English message that helps
/// developers *understand* and *resolve* the error. If a localized user-facing
/// error message is needed, put the localized message in the error details or
/// localize it in the client. The optional error details may contain arbitrary
/// information about the error. There is a predefined set of error detail types
/// in the package `google.rpc` that can be used for common error conditions.
///
/// # Language mapping
///
/// The `Status` message is the logical representation of the error model, but
/// it
/// is not necessarily the actual wire format. When the `Status` message is
/// exposed in different client libraries and different wire protocols, it can
/// be
/// mapped differently. For example, it will likely be mapped to some exceptions
/// in Java, but more likely mapped to some error codes in C.
///
/// # Other uses
///
/// The error model and the `Status` message can be used in a variety of
/// environments, either with or without APIs, to provide a
/// consistent developer experience across different environments.
///
/// Example uses of this error model include:
///
/// - Partial errors. If a service needs to return partial errors to the client,
/// it may embed the `Status` in the normal response to indicate the partial
///     errors.
///
/// - Workflow errors. A typical workflow has multiple steps. Each step may
///     have a `Status` message for error reporting.
///
/// - Batch operations. If a client uses batch request and batch response, the
///     `Status` message should be used directly inside batch response, one for
///     each error sub-response.
///
/// - Asynchronous operations. If an API call embeds asynchronous operation
///     results in its response, the status of those operations should be
///     represented directly using the `Status` message.
///
/// - Logging. If some API errors are stored in logs, the message `Status` could
/// be used directly after any stripping needed for security/privacy reasons.
class Status {
  /// The status code, which should be an enum value of google.rpc.Code.
  core.int code;

  /// A list of messages that carry the error details.  There is a common set of
  /// message types for APIs to use.
  ///
  /// The values for Object must be JSON objects. It can consist of `num`,
  /// `String`, `bool` and `null` as well as `Map` and `List` values.
  core.List<core.Map<core.String, core.Object>> details;

  /// A developer-facing error message, which should be in English. Any
  /// user-facing error message should be localized and sent in the
  /// google.rpc.Status.details field, or localized by the client.
  core.String message;

  Status();

  Status.fromJson(core.Map _json) {
    if (_json.containsKey("code")) {
      code = _json["code"];
    }
    if (_json.containsKey("details")) {
      details = _json["details"];
    }
    if (_json.containsKey("message")) {
      message = _json["message"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (code != null) {
      _json["code"] = code;
    }
    if (details != null) {
      _json["details"] = details;
    }
    if (message != null) {
      _json["message"] = message;
    }
    return _json;
  }
}

/// Word-specific information for recognized words.
class WordInfo {
  /// *Output-only* Time offset relative to the beginning of the audio,
  /// and corresponding to the end of the spoken word.
  /// This field is only set if `enable_word_time_offsets=true` and only
  /// in the top hypothesis.
  /// This is an experimental feature and the accuracy of the time offset can
  /// vary.
  core.String endTime;

  /// *Output-only* Time offset relative to the beginning of the audio,
  /// and corresponding to the start of the spoken word.
  /// This field is only set if `enable_word_time_offsets=true` and only
  /// in the top hypothesis.
  /// This is an experimental feature and the accuracy of the time offset can
  /// vary.
  core.String startTime;

  /// *Output-only* The word corresponding to this set of information.
  core.String word;

  WordInfo();

  WordInfo.fromJson(core.Map _json) {
    if (_json.containsKey("endTime")) {
      endTime = _json["endTime"];
    }
    if (_json.containsKey("startTime")) {
      startTime = _json["startTime"];
    }
    if (_json.containsKey("word")) {
      word = _json["word"];
    }
  }

  core.Map<core.String, core.Object> toJson() {
    final core.Map<core.String, core.Object> _json =
        new core.Map<core.String, core.Object>();
    if (endTime != null) {
      _json["endTime"] = endTime;
    }
    if (startTime != null) {
      _json["startTime"] = startTime;
    }
    if (word != null) {
      _json["word"] = word;
    }
    return _json;
  }
}