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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def similar_jobs(self, request, project, pk=None):
 """ Get a list of jobs similar to the one selected. """

        try:
            repository = Repository.objects.get(name=project)
        except Repository.DoesNotExist:
            return Response({
                "detail": "No project with name {}".format(project)
            }, status=HTTP_404_NOT_FOUND)

        try:
            job = Job.objects.get(repository=repository, id=pk)
        except ObjectDoesNotExist:
            return Response("No job with id: {0}".format(pk),
                            status=HTTP_404_NOT_FOUND)

        filter_params = request.query_params.copy()

        try:
            offset = int(filter_params.get("offset", 0))
            # we don't need a big page size on this endoint,
            # let's cap it to 50 elements
            count = int(filter_params.get("count", 50))
        except ValueError:
            return Response("Invalid value for offset or count",
                            status=HTTP_400_BAD_REQUEST)

        return_type = filter_params.get("return_type", "dict").lower()

        jobs = JobFilter({k: v for (k, v) in filter_params.items()},
                         queryset=Job.objects.filter(
                             job_type_id=job.job_type_id,
                             repository=repository).exclude(
                                 id=job.id).select_related(
                                     *self._default_select_related)).qs

        # similar jobs we want in descending order from most recent
        jobs = jobs.order_by('-start_time')

        response_body = self._get_job_list_response(jobs, offset, count,
                                                    return_type)
        response_body["meta"] = dict(offset=offset, count=count,
                                     repository=project)

        return Response(response_body)