def search_jobs(
        self,
        parent,
        request_metadata,
        search_mode=None,
        job_query=None,
        enable_broadening=None,
        require_precise_result_size=None,
        histogram_queries=None,
        job_view=None,
        offset=None,
        page_size=None,
        order_by=None,
        diversification_level=None,
        custom_ranking_info=None,
        disable_keyword_match=None,
        retry=google.api_core.gapic_v1.method.DEFAULT,
        timeout=google.api_core.gapic_v1.method.DEFAULT,
        metadata=None,
    ):
        """
        Searches for jobs using the provided ``SearchJobsRequest``.

        This call constrains the ``visibility`` of jobs present in the database,
        and only returns jobs that the caller has permission to search against.

        Example:
            >>> from google.cloud import talent_v4beta1
            >>>
            >>> client = talent_v4beta1.JobServiceClient()
            >>>
            >>> parent = client.project_path('[PROJECT]')
            >>>
            >>> # TODO: Initialize `request_metadata`:
            >>> request_metadata = {}
            >>>
            >>> # Iterate over all results
            >>> for element in client.search_jobs(parent, request_metadata):
            ...     # process element
            ...     pass
            >>>
            >>>
            >>> # Alternatively:
            >>>
            >>> # Iterate over results one page at a time
            >>> for page in client.search_jobs(parent, request_metadata).pages:
            ...     for element in page:
            ...         # process element
            ...         pass

        Args:
            parent (str): Required.

                The resource name of the project to search within.

                The format is "projects/{project\_id}", for example,
                "projects/api-test-project".
            request_metadata (Union[dict, ~google.cloud.talent_v4beta1.types.RequestMetadata]): Required.

                The meta information collected about the job searcher, used to improve
                the search quality of the service.. The identifiers, (such as
                ``user_id``) are provided by users, and must be unique and consistent.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.talent_v4beta1.types.RequestMetadata`
            search_mode (~google.cloud.talent_v4beta1.types.SearchMode): Optional.

                Mode of a search.

                Defaults to ``SearchMode.JOB_SEARCH``.
            job_query (Union[dict, ~google.cloud.talent_v4beta1.types.JobQuery]): Optional.

                Query used to search against jobs, such as keyword, location filters, etc.

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.talent_v4beta1.types.JobQuery`
            enable_broadening (bool): Optional.

                Controls whether to broaden the search when it produces sparse results.
                Broadened queries append results to the end of the matching results
                list.

                Defaults to false.
            require_precise_result_size (bool): Optional.

                Controls if the search job request requires the return of a precise
                count of the first 300 results. Setting this to ``true`` ensures
                consistency in the number of results per page. Best practice is to set
                this value to true if a client allows users to jump directly to a
                non-sequential search results page.

                Enabling this flag may adversely impact performance.

                Defaults to false.
            histogram_queries (list[Union[dict, ~google.cloud.talent_v4beta1.types.HistogramQuery]]): Optional.

                An expression specifies a histogram request against matching jobs.

                Expression syntax is an aggregation function call with histogram facets
                and other options.

                Available aggregation function calls are: \*
                ``count(string_histogram_facet)``: Count the number of matching
                entities, for each distinct attribute value. \*
                ``count(numeric_histogram_facet, list of buckets)``: Count the number of
                matching entities within each bucket.

                Data types:

                -  Histogram facet: facet names with format [a-zA-Z][a-zA-Z0-9\_]+.
                -  String: string like "any string with backslash escape for quote(")."
                -  Number: whole number and floating point number like 10, -1 and -0.01.
                -  List: list of elements with comma(,) separator surrounded by square
                   brackets, for example, [1, 2, 3] and ["one", "two", "three"].

                Built-in constants:

                -  MIN (minimum number similar to java Double.MIN\_VALUE)
                -  MAX (maximum number similar to java Double.MAX\_VALUE)

                Built-in functions:

                -  bucket(start, end[, label]): bucket built-in function creates a
                   bucket with range of \`start, end). Note that the end is exclusive,
                   for example, bucket(1, MAX, "positive number") or bucket(1, 10).

                Job histogram facets:

                -  company\_id: histogram by [Job.distributor\_company\_id\`.
                -  company\_display\_name: histogram by ``Job.company_display_name``.
                -  employment\_type: histogram by ``Job.employment_types``, for example,
                   "FULL\_TIME", "PART\_TIME".
                -  company\_size: histogram by ``CompanySize``, for example, "SMALL",
                   "MEDIUM", "BIG".
                -  publish\_time\_in\_month: histogram by the ``Job.publish_time`` in
                   months. Must specify list of numeric buckets in spec.
                -  publish\_time\_in\_year: histogram by the ``Job.publish_time`` in
                   years. Must specify list of numeric buckets in spec.
                -  degree\_type: histogram by the ``Job.degree_type``, for example,
                   "Bachelors", "Masters".
                -  job\_level: histogram by the ``Job.job_level``, for example, "Entry
                   Level".
                -  country: histogram by the country code of jobs, for example, "US",
                   "FR".
                -  admin1: histogram by the admin1 code of jobs, which is a global
                   placeholder referring to the state, province, or the particular term
                   a country uses to define the geographic structure below the country
                   level, for example, "CA", "IL".
                -  city: histogram by a combination of the "city name, admin1 code". For
                   example, "Mountain View, CA", "New York, NY".
                -  admin1\_country: histogram by a combination of the "admin1 code,
                   country", for example, "CA, US", "IL, US".
                -  city\_coordinate: histogram by the city center's GPS coordinates
                   (latitude and longitude), for example, 37.4038522,-122.0987765. Since
                   the coordinates of a city center can change, customers may need to
                   refresh them periodically.
                -  locale: histogram by the ``Job.language_code``, for example, "en-US",
                   "fr-FR".
                -  language: histogram by the language subtag of the
                   ``Job.language_code``, for example, "en", "fr".
                -  category: histogram by the ``JobCategory``, for example,
                   "COMPUTER\_AND\_IT", "HEALTHCARE".
                -  base\_compensation\_unit: histogram by the ``CompensationUnit`` of
                   base salary, for example, "WEEKLY", "MONTHLY".
                -  base\_compensation: histogram by the base salary. Must specify list
                   of numeric buckets to group results by.
                -  annualized\_base\_compensation: histogram by the base annualized
                   salary. Must specify list of numeric buckets to group results by.
                -  annualized\_total\_compensation: histogram by the total annualized
                   salary. Must specify list of numeric buckets to group results by.
                -  string\_custom\_attribute: histogram by string
                   ``Job.custom_attributes``. Values can be accessed via square bracket
                   notations like string\_custom\_attribute["key1"].
                -  numeric\_custom\_attribute: histogram by numeric
                   ``Job.custom_attributes``. Values can be accessed via square bracket
                   notations like numeric\_custom\_attribute["key1"]. Must specify list
                   of numeric buckets to group results by.

                Example expressions: \* count(admin1) \* count(base\_compensation,
                [bucket(1000, 10000), bucket(10000, 100000), bucket(100000, MAX)]) \*
                count(string\_custom\_attribute["some-string-custom-attribute"]) \*
                count(numeric\_custom\_attribute["some-numeric-custom-attribute"],
                [bucket(MIN, 0, "negative"), bucket(0, MAX, "non-negative"])

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.talent_v4beta1.types.HistogramQuery`
            job_view (~google.cloud.talent_v4beta1.types.JobView): Optional.

                The desired job attributes returned for jobs in the search response.
                Defaults to ``JobView.SMALL`` if no value is specified.
            offset (int): Optional.

                An integer that specifies the current offset (that is, starting result
                location, amongst the jobs deemed by the API as relevant) in search
                results. This field is only considered if ``page_token`` is unset.

                For example, 0 means to return results starting from the first matching
                job, and 10 means to return from the 11th job. This can be used for
                pagination, (for example, pageSize = 10 and offset = 10 means to return
                from the second page).
            page_size (int): The maximum number of resources contained in the
                underlying API response. If page streaming is performed per-
                resource, this parameter does not affect the return value. If page
                streaming is performed per-page, this determines the maximum number
                of resources in a page.
            order_by (str): Optional.

                The criteria determining how search results are sorted. Default is
                "relevance desc".

                Supported options are:

                -  "relevance desc": By relevance descending, as determined by the API
                   algorithms. Relevance thresholding of query results is only available
                   with this ordering.
                -  "posting``_``\ publish\ ``_``\ time desc": By
                   ``Job.posting_publish_time`` descending.
                -  "posting``_``\ update\ ``_``\ time desc": By
                   ``Job.posting_update_time`` descending.
                -  "title": By ``Job.title`` ascending.
                -  "title desc": By ``Job.title`` descending.
                -  "annualized``_``\ base\ ``_``\ compensation": By job's
                   ``CompensationInfo.annualized_base_compensation_range`` ascending.
                   Jobs whose annualized base compensation is unspecified are put at the
                   end of search results.
                -  "annualized``_``\ base\ ``_``\ compensation desc": By job's
                   ``CompensationInfo.annualized_base_compensation_range`` descending.
                   Jobs whose annualized base compensation is unspecified are put at the
                   end of search results.
                -  "annualized``_``\ total\ ``_``\ compensation": By job's
                   ``CompensationInfo.annualized_total_compensation_range`` ascending.
                   Jobs whose annualized base compensation is unspecified are put at the
                   end of search results.
                -  "annualized``_``\ total\ ``_``\ compensation desc": By job's
                   ``CompensationInfo.annualized_total_compensation_range`` descending.
                   Jobs whose annualized base compensation is unspecified are put at the
                   end of search results.
                -  "custom``_``\ ranking desc": By the relevance score adjusted to the
                   ``SearchJobsRequest.custom_ranking_info.ranking_expression`` with
                   weight factor assigned by
                   ``SearchJobsRequest.custom_ranking_info.importance_level`` in
                   descending order.
                -  "location``_``\ distance": By the distance between the location on
                   jobs and locations specified in the
                   ``SearchJobsRequest.job_query.location_filters``. When this order is
                   selected, the ``SearchJobsRequest.job_query.location_filters`` must
                   not be empty. When a job has multiple locations, the location closest
                   to one of the locations specified in the location filter will be used
                   to calculate location distance. Distance is calculated by the
                   distance between two lat/long coordinates, with a precision of 10e-4
                   degrees (11.3 meters). Jobs that don't have locations specified will
                   be ranked below jobs having locations. Diversification strategy is
                   still applied unless explicitly disabled in
                   ``SearchJobsRequest.diversification_level``.
            diversification_level (~google.cloud.talent_v4beta1.types.DiversificationLevel): Optional.

                Controls whether highly similar jobs are returned next to each other in
                the search results. Jobs are identified as highly similar based on their
                titles, job categories, and locations. Highly similar results are
                clustered so that only one representative job of the cluster is
                displayed to the job seeker higher up in the results, with the other
                jobs being displayed lower down in the results.

                Defaults to ``DiversificationLevel.SIMPLE`` if no value is specified.
            custom_ranking_info (Union[dict, ~google.cloud.talent_v4beta1.types.CustomRankingInfo]): Optional.

                Controls over how job documents get ranked on top of existing relevance
                score (determined by API algorithm).

                If a dict is provided, it must be of the same form as the protobuf
                message :class:`~google.cloud.talent_v4beta1.types.CustomRankingInfo`
            disable_keyword_match (bool): Optional.

                Controls whether to disable exact keyword match on ``Job.job_title``,
                ``Job.description``, ``Job.company_display_name``, [Job.locations][0],
                ``Job.qualifications``. When disable keyword match is turned off, a
                keyword match returns jobs that do not match given category filters when
                there are matching keywords. For example, for the query "program
                manager," a result is returned even if the job posting has the title
                "software developer," which doesn't fall into "program manager"
                ontology, but does have "program manager" appearing in its description.

                For queries like "cloud" that don't contain title or location specific
                ontology, jobs with "cloud" keyword matches are returned regardless of
                this flag's value.

                Please use ``Company.keyword_searchable_custom_fields`` or
                ``Company.keyword_searchable_custom_attributes`` if company specific
                globally matched custom field/attribute string values is needed.
                Enabling keyword match improves recall of subsequent search requests.

                Defaults to false.
            retry (Optional[google.api_core.retry.Retry]):  A retry object used
                to retry requests. If ``None`` is specified, requests will not
                be retried.
            timeout (Optional[float]): The amount of time, in seconds, to wait
                for the request to complete. Note that if ``retry`` is
                specified, the timeout applies to each individual attempt.
            metadata (Optional[Sequence[Tuple[str, str]]]): Additional metadata
                that is provided to the method.

        Returns:
            A :class:`~google.gax.PageIterator` instance. By default, this
            is an iterable of :class:`~google.cloud.talent_v4beta1.types.MatchingJob` instances.
            This object can also be configured to iterate over the pages
            of the response through the `options` parameter.

        Raises:
            google.api_core.exceptions.GoogleAPICallError: If the request
                    failed for any reason.
            google.api_core.exceptions.RetryError: If the request failed due
                    to a retryable error and retry attempts failed.
            ValueError: If the parameters are invalid.
        """
        # Wrap the transport method to add retry and timeout logic.
        if "search_jobs" not in self._inner_api_calls:
            self._inner_api_calls[
                "search_jobs"
            ] = google.api_core.gapic_v1.method.wrap_method(
                self.transport.search_jobs,
                default_retry=self._method_configs["SearchJobs"].retry,
                default_timeout=self._method_configs["SearchJobs"].timeout,
                client_info=self._client_info,
            )

        request = job_service_pb2.SearchJobsRequest(
            parent=parent,
            request_metadata=request_metadata,
            search_mode=search_mode,
            job_query=job_query,
            enable_broadening=enable_broadening,
            require_precise_result_size=require_precise_result_size,
            histogram_queries=histogram_queries,
            job_view=job_view,
            offset=offset,
            page_size=page_size,
            order_by=order_by,
            diversification_level=diversification_level,
            custom_ranking_info=custom_ranking_info,
            disable_keyword_match=disable_keyword_match,
        )
        iterator = google.api_core.page_iterator.GRPCIterator(
            client=None,
            method=functools.partial(
                self._inner_api_calls["search_jobs"],
                retry=retry,
                timeout=timeout,
                metadata=metadata,
            ),
            request=request,
            items_field="matching_jobs",
            request_token_field="page_token",
            response_token_field="next_page_token",
        )
        return iterator