Args

Prompt:
Implement the Python class `Ls` described below.

Class description:
List Cloud Storage buckets and objects.

Method signatures and docstrings:
- def Args(parser): Edit argparse.ArgumentParser for the command.
- def Run(self, args): Command execution logic.

Implement the Python class `Ls` described below.

Class description:
List Cloud Storage buckets and objects.

Method signatures and docstrings:
- def Args(parser): Edit argparse.ArgumentParser for the command.
- def Run(self, args): Command execution logic.

<|skeleton|>
class Ls:
    """List Cloud Storage buckets and objects."""

    def Args(parser):
        """Edit argparse.ArgumentParser for the command."""
        <|body_0|>

    def Run(self, args):
        """Command execution logic."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        parser.add_argument('path', nargs='*', help='The path of objects and directories to list. The path must begin with gs:// and is allowed to contain wildcard characters.')
        parser.add_argument('-a', '--all-versions', action='store_true', help='Include non-current object versions in the listing. This flag is typically only useful for buckets with [object versioning](https://cloud.google.com/storage/docs/object-versioning) enabled. If combined with the `--long` option, the metageneration for each listed object is also included.')
        parser.add_argument('-b', '--buckets', action='store_true', help='When given a bucket URL, only return buckets. Useful for avoiding the rule that prints the top-level objects of buckets matching a query. Typically used in combination with `--full` to get the full metadata of buckets.')
        parser.add_argument('-e', '--etag', action='store_true', help='Include ETag metadata in listings that use the `--long` flag.')
        parser.add_argument('--format', help='Use "gsutil" to get the style of the older gsutil CLI. (e.g. "--format=gsutil"). Other format values (e.g. "json") do not work. See different ls flags and commands for alternative formatting.')
        parser.add_argument('--readable-sizes', action='store_true', help='When used with `--long`, print object sizes in human readable format, such as 1 KiB, 234 MiB, or 2 GiB.')
        parser.add_argument('-R', '-r', '--recursive', action='store_true', help='Recursively list the contents of any directories that match the path expression.')
        output_styles = parser.add_group(mutex='True')
        output_styles.add_argument('-l', '--long', action='store_true', help='For objects only. List size in bytes, creation time, and URL.')
        output_styles.add_argument('-L', '--full', action='store_true', help='List all available metadata about items in rows.')
        output_styles.add_argument('-j', '--json', action='store_true', help='List all available metadata about items as a JSON dump.')
        flags.add_additional_headers_flag(parser)
        flags.add_encryption_flags(parser, command_only_reads_data=True)
        flags.add_fetch_encrypted_object_hashes_flag(parser, is_list=True)
<|end_body_0|>

<|body_start_1|>
        encryption_util.initialize_key_store(args)
        use_gsutil_style = flags.check_if_use_gsutil_style(args)
        found_non_default_provider = False
        if args.path:
            storage_urls = [storage_url.storage_url_from_string(path) for path in args.path]
            for url in storage_urls:
                if not isinstance(url, storage_url.CloudUrl):
                    raise errors.InvalidUrlError('Ls only works for cloud URLs. Error for: {}'.format(url.url_string))
                if url.scheme is not cloud_api.DEFAULT_PROVIDER:
                    found_non_default_provider = True
        else:
            storage_urls = [storage_url.CloudUrl(cloud_api.DEFAULT_PROVIDER)]
        if args.full:
            display_detail = ls_command_util.DisplayDetail.FULL
        elif args.json:
            display_detail = ls_command_util.DisplayDetail.JSON
        elif args.long:
            display_detail = ls_command_util.DisplayDetail.LONG
        else:
            display_detail = ls_command_util.DisplayDetail.SHORT
        ls_command_util.LsExecutor(storage_urls, all_versions=args.all_versions, buckets_flag=args.buckets, display_detail=display_detail, fetch_encrypted_object_hashes=args.fetch_encrypted_object_hashes, include_etag=args.etag, readable_sizes=args.readable_sizes, recursion_flag=args.recursive, use_gsutil_style=use_gsutil_style).list_urls()
        if found_non_default_provider and args.full:
            log.warning('For additional metadata information, please run ls --json.')
<|end_body_1|>

Solution:
class Ls:
    """List Cloud Storage buckets and objects."""

    def Args(parser):
        """Edit argparse.ArgumentParser for the command."""
        parser.add_argument('path', nargs='*', help='The path of objects and directories to list. The path must begin with gs:// and is allowed to contain wildcard characters.')
        parser.add_argument('-a', '--all-versions', action='store_true', help='Include non-current object versions in the listing. This flag is typically only useful for buckets with [object versioning](https://cloud.google.com/storage/docs/object-versioning) enabled. If combined with the `--long` option, the metageneration for each listed object is also included.')
        parser.add_argument('-b', '--buckets', action='store_true', help='When given a bucket URL, only return buckets. Useful for avoiding the rule that prints the top-level objects of buckets matching a query. Typically used in combination with `--full` to get the full metadata of buckets.')
        parser.add_argument('-e', '--etag', action='store_true', help='Include ETag metadata in listings that use the `--long` flag.')
        parser.add_argument('--format', help='Use "gsutil" to get the style of the older gsutil CLI. (e.g. "--format=gsutil"). Other format values (e.g. "json") do not work. See different ls flags and commands for alternative formatting.')
        parser.add_argument('--readable-sizes', action='store_true', help='When used with `--long`, print object sizes in human readable format, such as 1 KiB, 234 MiB, or 2 GiB.')
        parser.add_argument('-R', '-r', '--recursive', action='store_true', help='Recursively list the contents of any directories that match the path expression.')
        output_styles = parser.add_group(mutex='True')
        output_styles.add_argument('-l', '--long', action='store_true', help='For objects only. List size in bytes, creation time, and URL.')
        output_styles.add_argument('-L', '--full', action='store_true', help='List all available metadata about items in rows.')
        output_styles.add_argument('-j', '--json', action='store_true', help='List all available metadata about items as a JSON dump.')
        flags.add_additional_headers_flag(parser)
        flags.add_encryption_flags(parser, command_only_reads_data=True)
        flags.add_fetch_encrypted_object_hashes_flag(parser, is_list=True)

    def Run(self, args):
        """Command execution logic."""
        encryption_util.initialize_key_store(args)
        use_gsutil_style = flags.check_if_use_gsutil_style(args)
        found_non_default_provider = False
        if args.path:
            storage_urls = [storage_url.storage_url_from_string(path) for path in args.path]
            for url in storage_urls:
                if not isinstance(url, storage_url.CloudUrl):
                    raise errors.InvalidUrlError('Ls only works for cloud URLs. Error for: {}'.format(url.url_string))
                if url.scheme is not cloud_api.DEFAULT_PROVIDER:
                    found_non_default_provider = True
        else:
            storage_urls = [storage_url.CloudUrl(cloud_api.DEFAULT_PROVIDER)]
        if args.full:
            display_detail = ls_command_util.DisplayDetail.FULL
        elif args.json:
            display_detail = ls_command_util.DisplayDetail.JSON
        elif args.long:
            display_detail = ls_command_util.DisplayDetail.LONG
        else:
            display_detail = ls_command_util.DisplayDetail.SHORT
        ls_command_util.LsExecutor(storage_urls, all_versions=args.all_versions, buckets_flag=args.buckets, display_detail=display_detail, fetch_encrypted_object_hashes=args.fetch_encrypted_object_hashes, include_etag=args.etag, readable_sizes=args.readable_sizes, recursion_flag=args.recursive, use_gsutil_style=use_gsutil_style).list_urls()
        if found_non_default_provider and args.full:
            log.warning('For additional metadata information, please run ls --json.')


Prompt:
Implement the Python class `FlakesChecker` described below.

Class description:
Subclass the Pyflakes checker to conform with the flake8 API.

Method signatures and docstrings:
- def __init__(self, tree, filename): Initialize the PyFlakes plugin with an AST tree and filename.
- def add_options(cls, parser): Register options for PyFlakes on the Flake8 OptionManager.
- def parse_options(cls, options): Parse option values from Flake8's OptionManager.
- def run(self): Run the plugin.

Implement the Python class `FlakesChecker` described below.

Class description:
Subclass the Pyflakes checker to conform with the flake8 API.

Method signatures and docstrings:
- def __init__(self, tree, filename): Initialize the PyFlakes plugin with an AST tree and filename.
- def add_options(cls, parser): Register options for PyFlakes on the Flake8 OptionManager.
- def parse_options(cls, options): Parse option values from Flake8's OptionManager.
- def run(self): Run the plugin.

<|skeleton|>
class FlakesChecker:
    """Subclass the Pyflakes checker to conform with the flake8 API."""

    def __init__(self, tree, filename):
        """Initialize the PyFlakes plugin with an AST tree and filename."""
        <|body_0|>

    def add_options(cls, parser):
        """Register options for PyFlakes on the Flake8 OptionManager."""
        <|body_1|>

    def parse_options(cls, options):
        """Parse option values from Flake8's OptionManager."""
        <|body_2|>

    def run(self):
        """Run the plugin."""
        <|body_3|>

<|end_skeleton|>

<|body_start_0|>
        filename = utils.normalize_paths(filename)[0]
        with_doctest = self.with_doctest
        included_by = [include for include in self.include_in_doctest if include != '' and filename.startswith(include)]
        if included_by:
            with_doctest = True
        for exclude in self.exclude_from_doctest:
            if exclude != '' and filename.startswith(exclude):
                with_doctest = False
                overlaped_by = [include for include in included_by if include.startswith(exclude)]
                if overlaped_by:
                    with_doctest = True
        super(FlakesChecker, self).__init__(tree, filename, withDoctest=with_doctest)
<|end_body_0|>

<|body_start_1|>
        parser.add_option('--builtins', parse_from_config=True, comma_separated_list=True, help='define more built-ins, comma separated')
        parser.add_option('--doctests', default=False, action='store_true', parse_from_config=True, help='check syntax of the doctests')
        parser.add_option('--include-in-doctest', default='', dest='include_in_doctest', parse_from_config=True, comma_separated_list=True, normalize_paths=True, help='Run doctests only on these files', type='string')
        parser.add_option('--exclude-from-doctest', default='', dest='exclude_from_doctest', parse_from_config=True, comma_separated_list=True, normalize_paths=True, help='Skip these files when running doctests', type='string')
<|end_body_1|>

<|body_start_2|>
        if options.builtins:
            cls.builtIns = cls.builtIns.union(options.builtins)
        cls.with_doctest = options.doctests
        included_files = []
        for included_file in options.include_in_doctest:
            if included_file == '':
                continue
            if not included_file.startswith((os.sep, './', '~/')):
                included_files.append('./' + included_file)
            else:
                included_files.append(included_file)
        cls.include_in_doctest = utils.normalize_paths(included_files)
        excluded_files = []
        for excluded_file in options.exclude_from_doctest:
            if excluded_file == '':
                continue
            if not excluded_file.startswith((os.sep, './', '~/')):
                excluded_files.append('./' + excluded_file)
            else:
                excluded_files.append(excluded_file)
        cls.exclude_from_doctest = utils.normalize_paths(excluded_files)
        inc_exc = set(cls.include_in_doctest).intersection(cls.exclude_from_doctest)
        if inc_exc:
            raise ValueError('"%s" was specified in both the include-in-doctest and exclude-from-doctest options. You are not allowed to specify it in both for doctesting.' % inc_exc)
<|end_body_2|>

<|body_start_3|>
        for message in self.messages:
            col = getattr(message, 'col', 0)
            yield (message.lineno, col, message.flake8_msg % message.message_args, message.__class__)
<|end_body_3|>

Solution:
class FlakesChecker:
    """Subclass the Pyflakes checker to conform with the flake8 API."""

    def __init__(self, tree, filename):
        """Initialize the PyFlakes plugin with an AST tree and filename."""
        filename = utils.normalize_paths(filename)[0]
        with_doctest = self.with_doctest
        included_by = [include for include in self.include_in_doctest if include != '' and filename.startswith(include)]
        if included_by:
            with_doctest = True
        for exclude in self.exclude_from_doctest:
            if exclude != '' and filename.startswith(exclude):
                with_doctest = False
                overlaped_by = [include for include in included_by if include.startswith(exclude)]
                if overlaped_by:
                    with_doctest = True
        super(FlakesChecker, self).__init__(tree, filename, withDoctest=with_doctest)

    def add_options(cls, parser):
        """Register options for PyFlakes on the Flake8 OptionManager."""
        parser.add_option('--builtins', parse_from_config=True, comma_separated_list=True, help='define more built-ins, comma separated')
        parser.add_option('--doctests', default=False, action='store_true', parse_from_config=True, help='check syntax of the doctests')
        parser.add_option('--include-in-doctest', default='', dest='include_in_doctest', parse_from_config=True, comma_separated_list=True, normalize_paths=True, help='Run doctests only on these files', type='string')
        parser.add_option('--exclude-from-doctest', default='', dest='exclude_from_doctest', parse_from_config=True, comma_separated_list=True, normalize_paths=True, help='Skip these files when running doctests', type='string')

    def parse_options(cls, options):
        """Parse option values from Flake8's OptionManager."""
        if options.builtins:
            cls.builtIns = cls.builtIns.union(options.builtins)
        cls.with_doctest = options.doctests
        included_files = []
        for included_file in options.include_in_doctest:
            if included_file == '':
                continue
            if not included_file.startswith((os.sep, './', '~/')):
                included_files.append('./' + included_file)
            else:
                included_files.append(included_file)
        cls.include_in_doctest = utils.normalize_paths(included_files)
        excluded_files = []
        for excluded_file in options.exclude_from_doctest:
            if excluded_file == '':
                continue
            if not excluded_file.startswith((os.sep, './', '~/')):
                excluded_files.append('./' + excluded_file)
            else:
                excluded_files.append(excluded_file)
        cls.exclude_from_doctest = utils.normalize_paths(excluded_files)
        inc_exc = set(cls.include_in_doctest).intersection(cls.exclude_from_doctest)
        if inc_exc:
            raise ValueError('"%s" was specified in both the include-in-doctest and exclude-from-doctest options. You are not allowed to specify it in both for doctesting.' % inc_exc)

    def run(self):
        """Run the plugin."""
        for message in self.messages:
            col = getattr(message, 'col', 0)
            yield (message.lineno, col, message.flake8_msg % message.message_args, message.__class__)


serialize

Prompt:
Implement the Python class `AccessReviewHistoryInstance` described below.

Class description:
Implement the AccessReviewHistoryInstance class.

Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessReviewHistoryInstance: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: AccessReviewHistoryInstance
- def get_field_deserializers(self) -> Dict[str, Callable[[ParseNode], None]]: The deserialization information for the current model Returns: Dict[str, Callable[[ParseNode], None]]
- def serialize(self, writer: SerializationWriter) -> None: Serializes information the current object Args: writer: Serialization writer to use to serialize this model

Implement the Python class `AccessReviewHistoryInstance` described below.

Class description:
Implement the AccessReviewHistoryInstance class.

Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessReviewHistoryInstance: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: AccessReviewHistoryInstance
- def get_field_deserializers(self) -> Dict[str, Callable[[ParseNode], None]]: The deserialization information for the current model Returns: Dict[str, Callable[[ParseNode], None]]
- def serialize(self, writer: SerializationWriter) -> None: Serializes information the current object Args: writer: Serialization writer to use to serialize this model

<|skeleton|>
class AccessReviewHistoryInstance:

    def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessReviewHistoryInstance:
        """Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: AccessReviewHistoryInstance"""
        <|body_0|>

    def get_field_deserializers(self) -> Dict[str, Callable[[ParseNode], None]]:
        """The deserialization information for the current model Returns: Dict[str, Callable[[ParseNode], None]]"""
        <|body_1|>

    def serialize(self, writer: SerializationWriter) -> None:
        """Serializes information the current object Args: writer: Serialization writer to use to serialize this model"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        if not parse_node:
            raise TypeError('parse_node cannot be null.')
        return AccessReviewHistoryInstance()
<|end_body_0|>

<|body_start_1|>
        from .access_review_history_status import AccessReviewHistoryStatus
        from .entity import Entity
        from .access_review_history_status import AccessReviewHistoryStatus
        from .entity import Entity
        fields: Dict[str, Callable[[Any], None]] = {'downloadUri': lambda n: setattr(self, 'download_uri', n.get_str_value()), 'expirationDateTime': lambda n: setattr(self, 'expiration_date_time', n.get_datetime_value()), 'fulfilledDateTime': lambda n: setattr(self, 'fulfilled_date_time', n.get_datetime_value()), 'reviewHistoryPeriodEndDateTime': lambda n: setattr(self, 'review_history_period_end_date_time', n.get_datetime_value()), 'reviewHistoryPeriodStartDateTime': lambda n: setattr(self, 'review_history_period_start_date_time', n.get_datetime_value()), 'runDateTime': lambda n: setattr(self, 'run_date_time', n.get_datetime_value()), 'status': lambda n: setattr(self, 'status', n.get_enum_value(AccessReviewHistoryStatus))}
        super_fields = super().get_field_deserializers()
        fields.update(super_fields)
        return fields
<|end_body_1|>

<|body_start_2|>
        if not writer:
            raise TypeError('writer cannot be null.')
        super().serialize(writer)
        writer.write_str_value('downloadUri', self.download_uri)
        writer.write_datetime_value('expirationDateTime', self.expiration_date_time)
        writer.write_datetime_value('fulfilledDateTime', self.fulfilled_date_time)
        writer.write_datetime_value('reviewHistoryPeriodEndDateTime', self.review_history_period_end_date_time)
        writer.write_datetime_value('reviewHistoryPeriodStartDateTime', self.review_history_period_start_date_time)
        writer.write_datetime_value('runDateTime', self.run_date_time)
        writer.write_enum_value('status', self.status)
<|end_body_2|>

Solution:
class AccessReviewHistoryInstance:
    def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> AccessReviewHistoryInstance:
        """Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator value and create the object Returns: AccessReviewHistoryInstance"""
        if not parse_node:
            raise TypeError('parse_node cannot be null.')
        return AccessReviewHistoryInstance()

    def get_field_deserializers(self) -> Dict[str, Callable[[ParseNode], None]]:
        """The deserialization information for the current model Returns: Dict[str, Callable[[ParseNode], None]]"""
        from .access_review_history_status import AccessReviewHistoryStatus
        from .entity import Entity
        from .access_review_history_status import AccessReviewHistoryStatus
        from .entity import Entity
        fields: Dict[str, Callable[[Any], None]] = {'downloadUri': lambda n: setattr(self, 'download_uri', n.get_str_value()), 'expirationDateTime': lambda n: setattr(self, 'expiration_date_time', n.get_datetime_value()), 'fulfilledDateTime': lambda n: setattr(self, 'fulfilled_date_time', n.get_datetime_value()), 'reviewHistoryPeriodEndDateTime': lambda n: setattr(self, 'review_history_period_end_date_time', n.get_datetime_value()), 'reviewHistoryPeriodStartDateTime': lambda n: setattr(self, 'review_history_period_start_date_time', n.get_datetime_value()), 'runDateTime': lambda n: setattr(self, 'run_date_time', n.get_datetime_value()), 'status': lambda n: setattr(self, 'status', n.get_enum_value(AccessReviewHistoryStatus))}
        super_fields = super().get_field_deserializers()
        fields.update(super_fields)
        return fields

    def serialize(self, writer: SerializationWriter) -> None:
        """Serializes information the current object Args: writer: Serialization writer to use to serialize this model"""
        if not writer:
            raise TypeError('writer cannot be null.')
        super().serialize(writer)
        writer.write_str_value('downloadUri', self.download_uri)
        writer.write_datetime_value('expirationDateTime', self.expiration_date_time)
        writer.write_datetime_value('fulfilledDateTime', self.fulfilled_date_time)
        writer.write_datetime_value('reviewHistoryPeriodEndDateTime', self.review_history_period_end_date_time)
        writer.write_datetime_value('reviewHistoryPeriodStartDateTime', self.review_history_period_start_date_time)
        writer.write_datetime_value('runDateTime', self.run_date_time)
        writer.write_enum_value('status', self.status)


MutateCustomerLabels

Prompt:
Implement the Python class `CustomerLabelServiceServicer` described below.

Class description:
Proto file describing the Customer Label service. Service to manage labels on customers.

Method signatures and docstrings:
- def GetCustomerLabel(self, request, context): Returns the requested customer-label relationship in full detail.
- def MutateCustomerLabels(self, request, context): Creates and removes customer-label relationships. Operation statuses are returned.

Implement the Python class `CustomerLabelServiceServicer` described below.

Class description:
Proto file describing the Customer Label service. Service to manage labels on customers.

Method signatures and docstrings:
- def GetCustomerLabel(self, request, context): Returns the requested customer-label relationship in full detail.
- def MutateCustomerLabels(self, request, context): Creates and removes customer-label relationships. Operation statuses are returned.

<|skeleton|>
class CustomerLabelServiceServicer:
    """Proto file describing the Customer Label service. Service to manage labels on customers."""

    def GetCustomerLabel(self, request, context):
        """Returns the requested customer-label relationship in full detail."""
        <|body_0|>

    def MutateCustomerLabels(self, request, context):
        """Creates and removes customer-label relationships. Operation statuses are returned."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')
<|end_body_0|>

<|body_start_1|>
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')
<|end_body_1|>

Solution:
class CustomerLabelServiceServicer:
    """Proto file describing the Customer Label service. Service to manage labels on customers."""

    def GetCustomerLabel(self, request, context):
        """Returns the requested customer-label relationship in full detail."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def MutateCustomerLabels(self, request, context):
        """Creates and removes customer-label relationships. Operation statuses are returned."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')


delete

Prompt:
Implement the Python class `UserResource` described below.

Class description:
Implement the UserResource class.

Method signatures and docstrings:
- def get(self, user_id): Возвращает пользователя по id. :param user_id: id пользователя :return: пользователя
- def put(self, user_id, **kwargs): Изменяет пользователя по id. :param user_id: id пользователя :param kwargs: параметры для изменения пользователя :return: пользователя
- def delete(self, user_id): Удаляет пользователя по id. :param user_id: id пользователя :return: пользователя

Implement the Python class `UserResource` described below.

Class description:
Implement the UserResource class.

Method signatures and docstrings:
- def get(self, user_id): Возвращает пользователя по id. :param user_id: id пользователя :return: пользователя
- def put(self, user_id, **kwargs): Изменяет пользователя по id. :param user_id: id пользователя :param kwargs: параметры для изменения пользователя :return: пользователя
- def delete(self, user_id): Удаляет пользователя по id. :param user_id: id пользователя :return: пользователя

<|skeleton|>
class UserResource:

    def get(self, user_id):
        """Возвращает пользователя по id. :param user_id: id пользователя :return: пользователя"""
        <|body_0|>

    def put(self, user_id, **kwargs):
        """Изменяет пользователя по id. :param user_id: id пользователя :param kwargs: параметры для изменения пользователя :return: пользователя"""
        <|body_1|>

    def delete(self, user_id):
        """Удаляет пользователя по id. :param user_id: id пользователя :return: пользователя"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        user = UserModel.query.get(user_id)
        if not user:
            abort(404, error=f'No user with id={user_id}')
        return (user, 200)
<|end_body_0|>

<|body_start_1|>
        user = UserModel.query.get(user_id)
        if not user:
            abort(404, error=f'No user with id={user_id}')
        user.username = kwargs['username']
        try:
            user.save()
            return (user, 200)
        except:
            abort(404, error=f'An error occurred while changing the user')
<|end_body_1|>

<|body_start_2|>
        user = UserModel.query.get(user_id)
        if not user:
            abort(404, error=f'User with id={user_id} is not exists')
        try:
            user.delete()
            return (f'User with id={user_id} deleted', 200)
        except:
            abort(404, error=f'An error occurred while deleting the user')
<|end_body_2|>

Solution:
class UserResource:
    def get(self, user_id):
        """Возвращает пользователя по id. :param user_id: id пользователя :return: пользователя"""
        user = UserModel.query.get(user_id)
        if not user:
            abort(404, error=f'No user with id={user_id}')
        return (user, 200)

    def put(self, user_id, **kwargs):
        """Изменяет пользователя по id. :param user_id: id пользователя :param kwargs: параметры для изменения пользователя :return: пользователя"""
        user = UserModel.query.get(user_id)
        if not user:
            abort(404, error=f'No user with id={user_id}')
        user.username = kwargs['username']
        try:
            user.save()
            return (user, 200)
        except:
            abort(404, error=f'An error occurred while changing the user')

    def delete(self, user_id):
        """Удаляет пользователя по id. :param user_id: id пользователя :return: пользователя"""
        user = UserModel.query.get(user_id)
        if not user:
            abort(404, error=f'User with id={user_id} is not exists')
        try:
            user.delete()
            return (f'User with id={user_id} deleted', 200)
        except:
            abort(404, error=f'An error occurred while deleting the user')


Prompt:
Implement the Python class `BusSingleton` described below.

Class description:
Implement the BusSingleton class.

Method signatures and docstrings:
- def __init__(self): Constructor.
- def get_instance(): Static method to fetch the current instance.

Implement the Python class `BusSingleton` described below.

Class description:
Implement the BusSingleton class.

Method signatures and docstrings:
- def __init__(self): Constructor.
- def get_instance(): Static method to fetch the current instance.

<|skeleton|>
class BusSingleton:

    def __init__(self):
        """Constructor."""
        <|body_0|>

    def get_instance():
        """Static method to fetch the current instance."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        if BusSingleton.__instance__ is None:
            BusSingleton.__instance__ = bootstrap.bootstrap()
        else:
            raise Exception('You cannot create another BusSingleton class')
<|end_body_0|>

<|body_start_1|>
        if not BusSingleton.__instance__:
            BusSingleton()
        return BusSingleton.__instance__
<|end_body_1|>

Solution:
class BusSingleton:
    def __init__(self):
        """Constructor."""
        if BusSingleton.__instance__ is None:
            BusSingleton.__instance__ = bootstrap.bootstrap()
        else:
            raise Exception('You cannot create another BusSingleton class')

    def get_instance():
        """Static method to fetch the current instance."""
        if not BusSingleton.__instance__:
            BusSingleton()
        return BusSingleton.__instance__


Prompt:
Implement the Python class `RouteImportAppplication` described below.

Class description:
Route import application

Method signatures and docstrings:
- def render_result(self, request, result): Display form with imported data :param request: :param result: :return:
- def view_submit(self, request): Submit imported data :param request: :return:

Implement the Python class `RouteImportAppplication` described below.

Class description:
Route import application

Method signatures and docstrings:
- def render_result(self, request, result): Display form with imported data :param request: :param result: :return:
- def view_submit(self, request): Submit imported data :param request: :return:

<|skeleton|>
class RouteImportAppplication:
    """Route import application"""

    def render_result(self, request, result):
        """Display form with imported data :param request: :param result: :return:"""
        <|body_0|>

    def view_submit(self, request):
        """Submit imported data :param request: :return:"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        initial = []
        for prefix in result:
            description, objects = result[prefix]
            initial += [{'prefix': prefix, 'description': description, 'objects': ', '.join(objects)}]
        AddAddressFormSet = formset_factory(self.AddAddressForm, extra=0, can_delete=True)
        formset = AddAddressFormSet(initial=initial)
        return self.render(request, 'found.html', formset=formset)
<|end_body_0|>

<|body_start_1|>
        AddAddressFormSet = formset_factory(self.AddAddressForm, extra=0, can_delete=True)
        formset = AddAddressFormSet(request.POST)
        c = 0
        if formset.is_valid():
            vrf = VRF.get_global()
            asn = AS.default_as()
            for form in formset.forms:
                if 'DELETE' in form.cleaned_data and form.cleaned_data['DELETE']:
                    continue
                try:
                    prefix = IP.prefix(form.cleaned_data['prefix'])
                except AttributeError:
                    continue
                description = form.cleaned_data['description']
                p, created = Prefix.objects.get_or_create(vrf=vrf, afi=prefix.afi, prefix=prefix.normalized.prefix, defaults={'asn': asn, 'description': description})
                if created:
                    c += 1
        self.message_user(request, '%d prefixes are imported' % c)
        return self.response_redirect('ip:ipam:index')
<|end_body_1|>

Solution:
class RouteImportAppplication:
    """Route import application"""

    def render_result(self, request, result):
        """Display form with imported data :param request: :param result: :return:"""
        initial = []
        for prefix in result:
            description, objects = result[prefix]
            initial += [{'prefix': prefix, 'description': description, 'objects': ', '.join(objects)}]
        AddAddressFormSet = formset_factory(self.AddAddressForm, extra=0, can_delete=True)
        formset = AddAddressFormSet(initial=initial)
        return self.render(request, 'found.html', formset=formset)

    def view_submit(self, request):
        """Submit imported data :param request: :return:"""
        AddAddressFormSet = formset_factory(self.AddAddressForm, extra=0, can_delete=True)
        formset = AddAddressFormSet(request.POST)
        c = 0
        if formset.is_valid():
            vrf = VRF.get_global()
            asn = AS.default_as()
            for form in formset.forms:
                if 'DELETE' in form.cleaned_data and form.cleaned_data['DELETE']:
                    continue
                try:
                    prefix = IP.prefix(form.cleaned_data['prefix'])
                except AttributeError:
                    continue
                description = form.cleaned_data['description']
                p, created = Prefix.objects.get_or_create(vrf=vrf, afi=prefix.afi, prefix=prefix.normalized.prefix, defaults={'asn': asn, 'description': description})
                if created:
                    c += 1
        self.message_user(request, '%d prefixes are imported' % c)
        return self.response_redirect('ip:ipam:index')


testDiscreteGaussian

Prompt:
Implement the Python class `utilsTest` described below.

Class description:
Implement the utilsTest class.

Method signatures and docstrings:
- def testDiscreteGaussian(self): Tests versus values computed using `https://keisan.casio.com/exec/system/1180573473`
- def testDiscreteGaussianBadSize(self): Tests versus values computed using `https://keisan.casio.com/exec/system/1180573473`

Implement the Python class `utilsTest` described below.

Class description:
Implement the utilsTest class.

Method signatures and docstrings:
- def testDiscreteGaussian(self): Tests versus values computed using `https://keisan.casio.com/exec/system/1180573473`
- def testDiscreteGaussianBadSize(self): Tests versus values computed using `https://keisan.casio.com/exec/system/1180573473`

<|skeleton|>
class utilsTest:

    def testDiscreteGaussian(self):
        """Tests versus values computed using `https://keisan.casio.com/exec/system/1180573473`"""
        <|body_0|>

    def testDiscreteGaussianBadSize(self):
        """Tests versus values computed using `https://keisan.casio.com/exec/system/1180573473`"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        sigma = 1.0
        size = 5
        real_values = 0.3678 * np.array([0.1357, 0.565, 1.266, 0.565, 0.1357])
        for real, computed in zip(real_values, utils.discrete_gaussian(size, sigma)):
            self.assertAlmostEqual(real, computed, 3)
<|end_body_0|>

<|body_start_1|>
        sigma = 1.0
        size = 6
        with self.assertRaisesRegex(ValueError, '`size` must be odd.'):
            utils.discrete_gaussian(size, sigma)
<|end_body_1|>

Solution:
class utilsTest:
    def testDiscreteGaussian(self):
        """Tests versus values computed using `https://keisan.casio.com/exec/system/1180573473`"""
        sigma = 1.0
        size = 5
        real_values = 0.3678 * np.array([0.1357, 0.565, 1.266, 0.565, 0.1357])
        for real, computed in zip(real_values, utils.discrete_gaussian(size, sigma)):
            self.assertAlmostEqual(real, computed, 3)

    def testDiscreteGaussianBadSize(self):
        """Tests versus values computed using `https://keisan.casio.com/exec/system/1180573473`"""
        sigma = 1.0
        size = 6
        with self.assertRaisesRegex(ValueError, '`size` must be odd.'):
            utils.discrete_gaussian(size, sigma)


enumerateGroups

Prompt:
Implement the Python class `SearchPrincipalsPlugin` described below.

Class description:
SearchPrincipalsPlugin delegates its enumerateUsers and enumerateGroups methods to a delegate object

Method signatures and docstrings:
- def __init__(self, id, title='', delegate_path=''): Initialize a new instance
- def _getDelegate(self): Safely retrieve a PluggableAuthService to work with
- def enumerateUsers(self, id=None, login=None, exact_match=0, sort_by=None, max_results=None, **kw): see IUserEnumerationPlugin
- def enumerateGroups(self, id=None, exact_match=0, sort_by=None, max_results=None, **kw): see IGroupEnumerationPlugin

Implement the Python class `SearchPrincipalsPlugin` described below.

Class description:
SearchPrincipalsPlugin delegates its enumerateUsers and enumerateGroups methods to a delegate object

Method signatures and docstrings:
- def __init__(self, id, title='', delegate_path=''): Initialize a new instance
- def _getDelegate(self): Safely retrieve a PluggableAuthService to work with
- def enumerateUsers(self, id=None, login=None, exact_match=0, sort_by=None, max_results=None, **kw): see IUserEnumerationPlugin
- def enumerateGroups(self, id=None, exact_match=0, sort_by=None, max_results=None, **kw): see IGroupEnumerationPlugin

<|skeleton|>
class SearchPrincipalsPlugin:
    """SearchPrincipalsPlugin delegates its enumerateUsers and enumerateGroups methods to a delegate object"""

    def __init__(self, id, title='', delegate_path=''):
        """Initialize a new instance"""
        <|body_0|>

    def _getDelegate(self):
        """Safely retrieve a PluggableAuthService to work with"""
        <|body_1|>

    def enumerateUsers(self, id=None, login=None, exact_match=0, sort_by=None, max_results=None, **kw):
        """see IUserEnumerationPlugin"""
        <|body_2|>

    def enumerateGroups(self, id=None, exact_match=0, sort_by=None, max_results=None, **kw):
        """see IGroupEnumerationPlugin"""
        <|body_3|>

<|end_skeleton|>

<|body_start_0|>
        self.id = id
        self.title = title
        self.delegate = delegate_path
<|end_body_0|>

<|body_start_1|>
        uf = getattr(aq_base(self), 'acl_users', None)
        if uf is None and self.delegate:
            uf = self.unrestrictedTraverse(self.delegate)
        return uf
<|end_body_1|>

<|body_start_2|>
        acl = self._getDelegate()
        if acl is None:
            return ()
        return acl.searchUsers(id=id, login=login, exact_match=exact_match, sort_by=sort_by, max_results=max_results, **kw)
<|end_body_2|>

<|body_start_3|>
        acl = self._getDelegate()
        if acl is None:
            return ()
        return acl.searchGroups(id=id, exact_match=exact_match, sort_by=sort_by, max_results=max_results, **kw)
<|end_body_3|>

Solution:
class SearchPrincipalsPlugin:
    """SearchPrincipalsPlugin delegates its enumerateUsers and enumerateGroups methods to a delegate object"""

    def __init__(self, id, title='', delegate_path=''):
        """Initialize a new instance"""
        self.id = id
        self.title = title
        self.delegate = delegate_path

    def _getDelegate(self):
        """Safely retrieve a PluggableAuthService to work with"""
        uf = getattr(aq_base(self), 'acl_users', None)
        if uf is None and self.delegate:
            uf = self.unrestrictedTraverse(self.delegate)
        return uf

    def enumerateUsers(self, id=None, login=None, exact_match=0, sort_by=None, max_results=None, **kw):
        """see IUserEnumerationPlugin"""
        acl = self._getDelegate()
        if acl is None:
            return ()
        return acl.searchUsers(id=id, login=login, exact_match=exact_match, sort_by=sort_by, max_results=max_results, **kw)

    def enumerateGroups(self, id=None, exact_match=0, sort_by=None, max_results=None, **kw):
        """see IGroupEnumerationPlugin"""
        acl = self._getDelegate()
        if acl is None:
            return ()
        return acl.searchGroups(id=id, exact_match=exact_match, sort_by=sort_by, max_results=max_results, **kw)


write

Prompt:
Implement the Python class `hr_department` described below.

Class description:
Implement the hr_department class.

Method signatures and docstrings:
- def create(self, vals): override create function to set responsible of department's analytic account equals to department's manager
- def write(self, vals): override write function to set responsible of department's analytic account equals to department's manager

Implement the Python class `hr_department` described below.

Class description:
Implement the hr_department class.

Method signatures and docstrings:
- def create(self, vals): override create function to set responsible of department's analytic account equals to department's manager
- def write(self, vals): override write function to set responsible of department's analytic account equals to department's manager

<|skeleton|>
class hr_department:

    def create(self, vals):
        """override create function to set responsible of department's analytic account equals to department's manager"""
        <|body_0|>

    def write(self, vals):
        """override write function to set responsible of department's analytic account equals to department's manager"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        ana_id = super(hr_department, self).create(vals)
        if self.manager_id.id != False and self.analytic_account_id.id != False:
            self.analytic_account_id.write({'user_id': self.manager_id.user_id.id})
        return ana_id
<|end_body_0|>

<|body_start_1|>
        ana_id = super(hr_department, self).write(vals)
        if self.manager_id.id != False and self.analytic_account_id.id != False:
            self.analytic_account_id.write({'user_id': self.manager_id.user_id.id})
        return ana_id
<|end_body_1|>

Solution:
class hr_department:
    def create(self, vals):
        """override create function to set responsible of department's analytic account equals to department's manager"""
        ana_id = super(hr_department, self).create(vals)
        if self.manager_id.id != False and self.analytic_account_id.id != False:
            self.analytic_account_id.write({'user_id': self.manager_id.user_id.id})
        return ana_id

    def write(self, vals):
        """override write function to set responsible of department's analytic account equals to department's manager"""
        ana_id = super(hr_department, self).write(vals)
        if self.manager_id.id != False and self.analytic_account_id.id != False:
            self.analytic_account_id.write({'user_id': self.manager_id.user_id.id})
        return ana_id


compute

Prompt:
Implement the Python class `SqueezeModule` described below.

Class description:
Implement the SqueezeModule class.

Method signatures and docstrings:
- def __init__(self, id: str, config: Dict[str, object], input_stream_keys: List[str]): Squeeze input streams data (beware the batch dimension if it is equal to 1...). :param config: Dict of parameters. Expectes: - "dim": List of None/Tuple/List/torch.Size representing the index of the dimension to squeeze for each input stream. If multiple input streams are proposed but only one element in this list, then the list is expanded by repeating the last element.
- def compute(self, input_streams_dict: Dict[str, object]) -> Dict[str, object]: Operates on inputs_dict that is made up of referents to the available stream. Make sure that accesses to its element are non-destructive. :param input_streams_dict: dict of str and data elements that follows `self.input_stream_ids`'s keywords and are extracted from `self.input_stream_keys`-named streams. :returns: - outputs_stream_dict:

Implement the Python class `SqueezeModule` described below.

Class description:
Implement the SqueezeModule class.

Method signatures and docstrings:
- def __init__(self, id: str, config: Dict[str, object], input_stream_keys: List[str]): Squeeze input streams data (beware the batch dimension if it is equal to 1...). :param config: Dict of parameters. Expectes: - "dim": List of None/Tuple/List/torch.Size representing the index of the dimension to squeeze for each input stream. If multiple input streams are proposed but only one element in this list, then the list is expanded by repeating the last element.
- def compute(self, input_streams_dict: Dict[str, object]) -> Dict[str, object]: Operates on inputs_dict that is made up of referents to the available stream. Make sure that accesses to its element are non-destructive. :param input_streams_dict: dict of str and data elements that follows `self.input_stream_ids`'s keywords and are extracted from `self.input_stream_keys`-named streams. :returns: - outputs_stream_dict:

<|skeleton|>
class SqueezeModule:

    def __init__(self, id: str, config: Dict[str, object], input_stream_keys: List[str]):
        """Squeeze input streams data (beware the batch dimension if it is equal to 1...). :param config: Dict of parameters. Expectes: - "dim": List of None/Tuple/List/torch.Size representing the index of the dimension to squeeze for each input stream. If multiple input streams are proposed but only one element in this list, then the list is expanded by repeating the last element."""
        <|body_0|>

    def compute(self, input_streams_dict: Dict[str, object]) -> Dict[str, object]:
        """Operates on inputs_dict that is made up of referents to the available stream. Make sure that accesses to its element are non-destructive. :param input_streams_dict: dict of str and data elements that follows `self.input_stream_ids`'s keywords and are extracted from `self.input_stream_keys`-named streams. :returns: - outputs_stream_dict:"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        input_stream_ids = {f'input_{idx}': ik for idx, ik in enumerate(input_stream_keys)}
        assert 'dim' in config, "SqueezeModule relies on 'dim' value.\n                Not found in config."
        super(SqueezeModule, self).__init__(id=id, type='SqueezeModule', config=config, input_stream_ids=input_stream_ids)
        self.squeeze_dim = self.config['dim']
        assert isinstance(self.squeeze_dim, list)
        self.n_input_streams = len(self.input_stream_ids)
        while len(self.squeeze_dim) < self.n_input_streams:
            self.squeeze_dim.append(self.squeeze_dim[-1])
<|end_body_0|>

<|body_start_1|>
        outputs_stream_dict = {}
        for idx, (k, inp) in enumerate(input_streams_dict.items()):
            if self.squeeze_dim[idx] is not None:
                n_inp = inp.squeeze(dim=self.squeeze_dim[idx])
            else:
                n_inp = inp.squeeze()
            outputs_stream_dict[f'output_{idx}'] = n_inp
        return outputs_stream_dict
<|end_body_1|>

Solution:
class SqueezeModule:
    def __init__(self, id: str, config: Dict[str, object], input_stream_keys: List[str]):
        """Squeeze input streams data (beware the batch dimension if it is equal to 1...). :param config: Dict of parameters. Expectes: - "dim": List of None/Tuple/List/torch.Size representing the index of the dimension to squeeze for each input stream. If multiple input streams are proposed but only one element in this list, then the list is expanded by repeating the last element."""
        input_stream_ids = {f'input_{idx}': ik for idx, ik in enumerate(input_stream_keys)}
        assert 'dim' in config, "SqueezeModule relies on 'dim' value.\n                Not found in config."
        super(SqueezeModule, self).__init__(id=id, type='SqueezeModule', config=config, input_stream_ids=input_stream_ids)
        self.squeeze_dim = self.config['dim']
        assert isinstance(self.squeeze_dim, list)
        self.n_input_streams = len(self.input_stream_ids)
        while len(self.squeeze_dim) < self.n_input_streams:
            self.squeeze_dim.append(self.squeeze_dim[-1])

    def compute(self, input_streams_dict: Dict[str, object]) -> Dict[str, object]:
        """Operates on inputs_dict that is made up of referents to the available stream. Make sure that accesses to its element are non-destructive. :param input_streams_dict: dict of str and data elements that follows `self.input_stream_ids`'s keywords and are extracted from `self.input_stream_keys`-named streams. :returns: - outputs_stream_dict:"""
        outputs_stream_dict = {}
        for idx, (k, inp) in enumerate(input_streams_dict.items()):
            if self.squeeze_dim[idx] is not None:
                n_inp = inp.squeeze(dim=self.squeeze_dim[idx])
            else:
                n_inp = inp.squeeze()
            outputs_stream_dict[f'output_{idx}'] = n_inp
        return outputs_stream_dict


forward

Prompt:
Implement the Python class `AdversarialAutoEncoderPyTorch` described below.

Class description:
Class implementing the Combined Adversarial Autoencoder and it's behavior during training. An adversarial autoencoder is basically aprobabilistic autoencoder that uses generative adversarial networks (GAN) to perform variational inference by matching the aggregated posterior of the hidden code vector of the autoencoder with an arbitrary prior distribution References ---------- `Paper <https://arxiv.org/abs/1511.05644>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it might be best, to split this network into its parts (i. e. separating the discriminator from the generator). This will give a significant boost in inferenc

Method signatures and docstrings:
- def __init__(self, latent_dim, img_shape, generator_cls=Generator, discriminator_cls=Discriminator): Parameters ---------- latent_dim : int the size of the autoencoders latend dimension img_shape : tuple the shape of the input/output image generator_cls : a class implementing the actual generator model (consisting of encoder and decoder) discriminator_cls : a class implementing the actual discriminator model
- def forward(self, x): Forwards a tensor through the Autoencoder and the discriminator Parameters ---------- x : :class:`torch.Tensor` the input images Returns ------- dict a dictionary containing the network's outputs

Implement the Python class `AdversarialAutoEncoderPyTorch` described below.

Class description:
Class implementing the Combined Adversarial Autoencoder and it's behavior during training. An adversarial autoencoder is basically aprobabilistic autoencoder that uses generative adversarial networks (GAN) to perform variational inference by matching the aggregated posterior of the hidden code vector of the autoencoder with an arbitrary prior distribution References ---------- `Paper <https://arxiv.org/abs/1511.05644>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it might be best, to split this network into its parts (i. e. separating the discriminator from the generator). This will give a significant boost in inferenc

Method signatures and docstrings:
- def __init__(self, latent_dim, img_shape, generator_cls=Generator, discriminator_cls=Discriminator): Parameters ---------- latent_dim : int the size of the autoencoders latend dimension img_shape : tuple the shape of the input/output image generator_cls : a class implementing the actual generator model (consisting of encoder and decoder) discriminator_cls : a class implementing the actual discriminator model
- def forward(self, x): Forwards a tensor through the Autoencoder and the discriminator Parameters ---------- x : :class:`torch.Tensor` the input images Returns ------- dict a dictionary containing the network's outputs

<|skeleton|>
class AdversarialAutoEncoderPyTorch:
    """Class implementing the Combined Adversarial Autoencoder and it's behavior during training. An adversarial autoencoder is basically aprobabilistic autoencoder that uses generative adversarial networks (GAN) to perform variational inference by matching the aggregated posterior of the hidden code vector of the autoencoder with an arbitrary prior distribution References ---------- `Paper <https://arxiv.org/abs/1511.05644>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it might be best, to split this network into its parts (i. e. separating the discriminator from the generator). This will give a significant boost in inferenc"""

    def __init__(self, latent_dim, img_shape, generator_cls=Generator, discriminator_cls=Discriminator):
        """Parameters ---------- latent_dim : int the size of the autoencoders latend dimension img_shape : tuple the shape of the input/output image generator_cls : a class implementing the actual generator model (consisting of encoder and decoder) discriminator_cls : a class implementing the actual discriminator model"""
        <|body_0|>

    def forward(self, x):
        """Forwards a tensor through the Autoencoder and the discriminator Parameters ---------- x : :class:`torch.Tensor` the input images Returns ------- dict a dictionary containing the network's outputs"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        super().__init__()
        self.generator = generator_cls(latent_dim=latent_dim, img_shape=img_shape)
        self.discriminator = discriminator_cls(latent_dim=latent_dim)
        self._latent_dim = latent_dim
<|end_body_0|>

<|body_start_1|>
        results_gen = self.generator(x)
        z = torch.randn_like(results_gen['encoded'])
        return {**results_gen, 'discr_encoded': self.discriminator(results_gen['encoded']), 'discr_noise': self.discriminator(z)}
<|end_body_1|>

Solution:
class AdversarialAutoEncoderPyTorch:
    """Class implementing the Combined Adversarial Autoencoder and it's behavior during training. An adversarial autoencoder is basically aprobabilistic autoencoder that uses generative adversarial networks (GAN) to perform variational inference by matching the aggregated posterior of the hidden code vector of the autoencoder with an arbitrary prior distribution References ---------- `Paper <https://arxiv.org/abs/1511.05644>`_ Warnings -------- This Network is designed for training only; if you want to predict from an already trained network, it might be best, to split this network into its parts (i. e. separating the discriminator from the generator). This will give a significant boost in inferenc"""

    def __init__(self, latent_dim, img_shape, generator_cls=Generator, discriminator_cls=Discriminator):
        """Parameters ---------- latent_dim : int the size of the autoencoders latend dimension img_shape : tuple the shape of the input/output image generator_cls : a class implementing the actual generator model (consisting of encoder and decoder) discriminator_cls : a class implementing the actual discriminator model"""
        super().__init__()
        self.generator = generator_cls(latent_dim=latent_dim, img_shape=img_shape)
        self.discriminator = discriminator_cls(latent_dim=latent_dim)
        self._latent_dim = latent_dim

    def forward(self, x):
        """Forwards a tensor through the Autoencoder and the discriminator Parameters ---------- x : :class:`torch.Tensor` the input images Returns ------- dict a dictionary containing the network's outputs"""
        results_gen = self.generator(x)
        z = torch.randn_like(results_gen['encoded'])
        return {**results_gen, 'discr_encoded': self.discriminator(results_gen['encoded']), 'discr_noise': self.discriminator(z)}


Prompt:
Implement the Python class `CustomDataApi` described below.

Class description:
Custom DataApi object for some OpenAPI workarounds The code generated by the OpenAPI generator has a particular problem (bug?) that immediately falls back to a json response if the accept header has "application/json" even if we want "application/octet-stream". This is handled by re-writing the workspace_file_details_with_http_info and the public_file_details_with_http_info functions.

Method signatures and docstrings:
- def workspace_file_details_with_http_info(self, wid, uuid, **kwargs): Copy/paste and workaround the original workspace_file_details_with_http_info Accepts an application/octet-stream according to the _accept kwarg
- def public_file_details_with_http_info(self, uuid, **kwargs): Copy/paste and workaround the original public_file_details_with_http_info Accepts an application/octet-stream according to the _accept kwarg

Implement the Python class `CustomDataApi` described below.

Class description:
Custom DataApi object for some OpenAPI workarounds The code generated by the OpenAPI generator has a particular problem (bug?) that immediately falls back to a json response if the accept header has "application/json" even if we want "application/octet-stream". This is handled by re-writing the workspace_file_details_with_http_info and the public_file_details_with_http_info functions.

Method signatures and docstrings:
- def workspace_file_details_with_http_info(self, wid, uuid, **kwargs): Copy/paste and workaround the original workspace_file_details_with_http_info Accepts an application/octet-stream according to the _accept kwarg
- def public_file_details_with_http_info(self, uuid, **kwargs): Copy/paste and workaround the original public_file_details_with_http_info Accepts an application/octet-stream according to the _accept kwarg

<|skeleton|>
class CustomDataApi:
    """Custom DataApi object for some OpenAPI workarounds The code generated by the OpenAPI generator has a particular problem (bug?) that immediately falls back to a json response if the accept header has "application/json" even if we want "application/octet-stream". This is handled by re-writing the workspace_file_details_with_http_info and the public_file_details_with_http_info functions."""

    def workspace_file_details_with_http_info(self, wid, uuid, **kwargs):
        """Copy/paste and workaround the original workspace_file_details_with_http_info Accepts an application/octet-stream according to the _accept kwarg"""
        <|body_0|>

    def public_file_details_with_http_info(self, uuid, **kwargs):
        """Copy/paste and workaround the original public_file_details_with_http_info Accepts an application/octet-stream according to the _accept kwarg"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        local_var_params = locals()
        all_params = ['wid', 'uuid']
        all_params.append('async_req')
        all_params.append('_return_http_data_only')
        all_params.append('_preload_content')
        all_params.append('_request_timeout')
        all_params.append('_accept')
        for key, val in six.iteritems(local_var_params['kwargs']):
            if key not in all_params:
                raise TypeError("Got an unexpected keyword argument '%s' to method app_api_data_file_details_w" % key)
            local_var_params[key] = val
        del local_var_params['kwargs']
        if 'wid' not in local_var_params or local_var_params['wid'] is None:
            raise ValueError('Missing the required parameter `wid` when calling `workspace_file_details`')
        if 'uuid' not in local_var_params or local_var_params['uuid'] is None:
            raise ValueError('Missing the required parameter `uuid` when calling `workspace_file_details`')
        collection_formats = {}
        path_params = {}
        if 'wid' in local_var_params:
            path_params['wid'] = local_var_params['wid']
        if 'uuid' in local_var_params:
            path_params['uuid'] = local_var_params['uuid']
        query_params = []
        header_params = {}
        form_params = []
        local_var_files = {}
        body_params = None
        header_params['Accept'] = local_var_params.get('_accept', self.api_client.select_header_accept(['application/json', 'application/octet-stream', 'application/problem+json']))
        auth_settings = ['apiKey', 'bearer']
        return self.api_client.call_api('/data/workspaces/{wid}/files/{uuid}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats)
<|end_body_0|>

<|body_start_1|>
        local_var_params = locals()
        all_params = ['uuid']
        all_params.append('async_req')
        all_params.append('_return_http_data_only')
        all_params.append('_preload_content')
        all_params.append('_request_timeout')
        all_params.append('_accept')
        for key, val in six.iteritems(local_var_params['kwargs']):
            if key not in all_params:
                raise TypeError("Got an unexpected keyword argument '%s' to method app_api_data_file_details" % key)
            local_var_params[key] = val
        del local_var_params['kwargs']
        if 'uuid' not in local_var_params or local_var_params['uuid'] is None:
            raise ValueError('Missing the required parameter `uuid` when calling `app_api_data_file_details`')
        collection_formats = {}
        path_params = {}
        if 'uuid' in local_var_params:
            path_params['uuid'] = local_var_params['uuid']
        query_params = []
        header_params = {}
        form_params = []
        local_var_files = {}
        body_params = None
        header_params['Accept'] = local_var_params.get('_accept', self.api_client.select_header_accept(['application/json', 'application/octet-stream', 'application/problem+json']))
        auth_settings = ['apiKey', 'bearer']
        return self.api_client.call_api('/data/files/{uuid}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats)
<|end_body_1|>

Solution:
class CustomDataApi:
    """Custom DataApi object for some OpenAPI workarounds The code generated by the OpenAPI generator has a particular problem (bug?) that immediately falls back to a json response if the accept header has "application/json" even if we want "application/octet-stream". This is handled by re-writing the workspace_file_details_with_http_info and the public_file_details_with_http_info functions."""

    def workspace_file_details_with_http_info(self, wid, uuid, **kwargs):
        """Copy/paste and workaround the original workspace_file_details_with_http_info Accepts an application/octet-stream according to the _accept kwarg"""
        local_var_params = locals()
        all_params = ['wid', 'uuid']
        all_params.append('async_req')
        all_params.append('_return_http_data_only')
        all_params.append('_preload_content')
        all_params.append('_request_timeout')
        all_params.append('_accept')
        for key, val in six.iteritems(local_var_params['kwargs']):
            if key not in all_params:
                raise TypeError("Got an unexpected keyword argument '%s' to method app_api_data_file_details_w" % key)
            local_var_params[key] = val
        del local_var_params['kwargs']
        if 'wid' not in local_var_params or local_var_params['wid'] is None:
            raise ValueError('Missing the required parameter `wid` when calling `workspace_file_details`')
        if 'uuid' not in local_var_params or local_var_params['uuid'] is None:
            raise ValueError('Missing the required parameter `uuid` when calling `workspace_file_details`')
        collection_formats = {}
        path_params = {}
        if 'wid' in local_var_params:
            path_params['wid'] = local_var_params['wid']
        if 'uuid' in local_var_params:
            path_params['uuid'] = local_var_params['uuid']
        query_params = []
        header_params = {}
        form_params = []
        local_var_files = {}
        body_params = None
        header_params['Accept'] = local_var_params.get('_accept', self.api_client.select_header_accept(['application/json', 'application/octet-stream', 'application/problem+json']))
        auth_settings = ['apiKey', 'bearer']
        return self.api_client.call_api('/data/workspaces/{wid}/files/{uuid}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats)

    def public_file_details_with_http_info(self, uuid, **kwargs):
        """Copy/paste and workaround the original public_file_details_with_http_info Accepts an application/octet-stream according to the _accept kwarg"""
        local_var_params = locals()
        all_params = ['uuid']
        all_params.append('async_req')
        all_params.append('_return_http_data_only')
        all_params.append('_preload_content')
        all_params.append('_request_timeout')
        all_params.append('_accept')
        for key, val in six.iteritems(local_var_params['kwargs']):
            if key not in all_params:
                raise TypeError("Got an unexpected keyword argument '%s' to method app_api_data_file_details" % key)
            local_var_params[key] = val
        del local_var_params['kwargs']
        if 'uuid' not in local_var_params or local_var_params['uuid'] is None:
            raise ValueError('Missing the required parameter `uuid` when calling `app_api_data_file_details`')
        collection_formats = {}
        path_params = {}
        if 'uuid' in local_var_params:
            path_params['uuid'] = local_var_params['uuid']
        query_params = []
        header_params = {}
        form_params = []
        local_var_files = {}
        body_params = None
        header_params['Accept'] = local_var_params.get('_accept', self.api_client.select_header_accept(['application/json', 'application/octet-stream', 'application/problem+json']))
        auth_settings = ['apiKey', 'bearer']
        return self.api_client.call_api('/data/files/{uuid}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats)


Prompt:
Implement the Python class `SDTControlSpec` described below.

Class description:
Extract metadata written by the SDT-control software Some of it is encoded in the comment strings (see :py:meth:`parse_comments`). Also, date and time are encoded in a peculiar way (see :py:meth:`get_datetime`). Use :py:meth:`extract_metadata` to update the metadata dict.

Method signatures and docstrings:
- def get_comment_version(comments: Sequence[str]) -> Tuple[int, int]: Get the version of SDT-control metadata encoded in the comments Parameters ---------- comments List of SPE file comments, typically ``metadata["comments"]``. Returns ------- Major and minor version. ``-1, -1`` if detection failed.
- def parse_comments(comments: Sequence[str], version: Tuple[int, int]) -> Dict[str, Any]: Extract SDT-control metadata from comments Parameters ---------- comments List of SPE file comments, typically ``metadata["comments"]``. version Major and minor version of SDT-control metadata format Returns ------- Dict of metadata
- def get_datetime(date: str, time: str) -> Union[datetime, None]: Turn date and time saved by SDT-control into proper datetime object Parameters ---------- date SPE file date, typically ``metadata["date"]``. time SPE file date, typically ``metadata["time_local"]``. Returns ------- File's datetime if parsing was succsessful, else None.
- def extract_metadata(meta: Mapping, char_encoding: str='latin1'): Extract SDT-control metadata from SPE metadata SDT-control stores some metadata in comments and other fields. Extract them and remove unused entries. Parameters ---------- meta SPE file metadata. Modified in place. char_encoding Character encoding used to decode strings in the metadata.

Implement the Python class `SDTControlSpec` described below.

Class description:
Extract metadata written by the SDT-control software Some of it is encoded in the comment strings (see :py:meth:`parse_comments`). Also, date and time are encoded in a peculiar way (see :py:meth:`get_datetime`). Use :py:meth:`extract_metadata` to update the metadata dict.

Method signatures and docstrings:
- def get_comment_version(comments: Sequence[str]) -> Tuple[int, int]: Get the version of SDT-control metadata encoded in the comments Parameters ---------- comments List of SPE file comments, typically ``metadata["comments"]``. Returns ------- Major and minor version. ``-1, -1`` if detection failed.
- def parse_comments(comments: Sequence[str], version: Tuple[int, int]) -> Dict[str, Any]: Extract SDT-control metadata from comments Parameters ---------- comments List of SPE file comments, typically ``metadata["comments"]``. version Major and minor version of SDT-control metadata format Returns ------- Dict of metadata
- def get_datetime(date: str, time: str) -> Union[datetime, None]: Turn date and time saved by SDT-control into proper datetime object Parameters ---------- date SPE file date, typically ``metadata["date"]``. time SPE file date, typically ``metadata["time_local"]``. Returns ------- File's datetime if parsing was succsessful, else None.
- def extract_metadata(meta: Mapping, char_encoding: str='latin1'): Extract SDT-control metadata from SPE metadata SDT-control stores some metadata in comments and other fields. Extract them and remove unused entries. Parameters ---------- meta SPE file metadata. Modified in place. char_encoding Character encoding used to decode strings in the metadata.

<|skeleton|>
class SDTControlSpec:
    """Extract metadata written by the SDT-control software Some of it is encoded in the comment strings (see :py:meth:`parse_comments`). Also, date and time are encoded in a peculiar way (see :py:meth:`get_datetime`). Use :py:meth:`extract_metadata` to update the metadata dict."""

    def get_comment_version(comments: Sequence[str]) -> Tuple[int, int]:
        """Get the version of SDT-control metadata encoded in the comments Parameters ---------- comments List of SPE file comments, typically ``metadata["comments"]``. Returns ------- Major and minor version. ``-1, -1`` if detection failed."""
        <|body_0|>

    def parse_comments(comments: Sequence[str], version: Tuple[int, int]) -> Dict[str, Any]:
        """Extract SDT-control metadata from comments Parameters ---------- comments List of SPE file comments, typically ``metadata["comments"]``. version Major and minor version of SDT-control metadata format Returns ------- Dict of metadata"""
        <|body_1|>

    def get_datetime(date: str, time: str) -> Union[datetime, None]:
        """Turn date and time saved by SDT-control into proper datetime object Parameters ---------- date SPE file date, typically ``metadata["date"]``. time SPE file date, typically ``metadata["time_local"]``. Returns ------- File's datetime if parsing was succsessful, else None."""
        <|body_2|>

    def extract_metadata(meta: Mapping, char_encoding: str='latin1'):
        """Extract SDT-control metadata from SPE metadata SDT-control stores some metadata in comments and other fields. Extract them and remove unused entries. Parameters ---------- meta SPE file metadata. Modified in place. char_encoding Character encoding used to decode strings in the metadata."""
        <|body_3|>

<|end_skeleton|>

<|body_start_0|>
        if comments[4][70:76] != 'COMVER':
            return (-1, -1)
        try:
            return (int(comments[4][76:78]), int(comments[4][78:80]))
        except ValueError:
            return (-1, -1)
<|end_body_0|>

<|body_start_1|>
        sdt_md = {}
        for minor in range(version[1] + 1):
            try:
                cmt = __class__.comment_fields[version[0], minor]
            except KeyError:
                continue
            for name, spec in cmt.items():
                try:
                    v = spec.cvt(comments[spec.n][spec.slice])
                    if spec.scale is not None:
                        v *= spec.scale
                    sdt_md[name] = v
                except Exception as e:
                    warnings.warn(f'Failed to decode SDT-control metadata field `{name}`: {e}')
                    sdt_md[name] = None
        if version not in __class__.comment_fields:
            supported_ver = ', '.join(map(lambda x: f'{x[0]}.{x[1]:02}', __class__.comment_fields))
            warnings.warn(f'Unsupported SDT-control metadata version {version[0]}.{version[1]:02}. Only versions {supported_ver} are supported. Some or all SDT-control metadata may be missing.')
        comment = comments[0] + comments[2]
        sdt_md['comment'] = comment.strip()
        return sdt_md
<|end_body_1|>

<|body_start_2|>
        try:
            month = __class__.months[date[2:5]]
            return datetime(int(date[5:9]), month, int(date[0:2]), int(time[0:2]), int(time[2:4]), int(time[4:6]))
        except Exception as e:
            logger.info(f'Failed to decode date from SDT-control metadata: {e}.')
<|end_body_2|>

<|body_start_3|>
        comver = __class__.get_comment_version(meta['comments'])
        if any((c < 0 for c in comver)):
            logger.debug('SDT-control comments not found.')
            return
        sdt_meta = __class__.parse_comments(meta['comments'], comver)
        meta.pop('comments')
        meta.update(sdt_meta)
        dt = __class__.get_datetime(meta['date'], meta['time_local'])
        if dt:
            meta['datetime'] = dt
            meta.pop('date')
            meta.pop('time_local')
        sp4 = meta['spare_4']
        try:
            meta['modulation_script'] = sp4.decode(char_encoding)
            meta.pop('spare_4')
        except UnicodeDecodeError:
            warnings.warn('Failed to decode SDT-control laser modulation script. Bad char_encoding?')
        meta.pop('time_utc')
        meta.pop('exposure_sec')
<|end_body_3|>

Solution:
class SDTControlSpec:
    """Extract metadata written by the SDT-control software Some of it is encoded in the comment strings (see :py:meth:`parse_comments`). Also, date and time are encoded in a peculiar way (see :py:meth:`get_datetime`). Use :py:meth:`extract_metadata` to update the metadata dict."""

    def get_comment_version(comments: Sequence[str]) -> Tuple[int, int]:
        """Get the version of SDT-control metadata encoded in the comments Parameters ---------- comments List of SPE file comments, typically ``metadata["comments"]``. Returns ------- Major and minor version. ``-1, -1`` if detection failed."""
        if comments[4][70:76] != 'COMVER':
            return (-1, -1)
        try:
            return (int(comments[4][76:78]), int(comments[4][78:80]))
        except ValueError:
            return (-1, -1)

    def parse_comments(comments: Sequence[str], version: Tuple[int, int]) -> Dict[str, Any]:
        """Extract SDT-control metadata from comments Parameters ---------- comments List of SPE file comments, typically ``metadata["comments"]``. version Major and minor version of SDT-control metadata format Returns ------- Dict of metadata"""
        sdt_md = {}
        for minor in range(version[1] + 1):
            try:
                cmt = __class__.comment_fields[version[0], minor]
            except KeyError:
                continue
            for name, spec in cmt.items():
                try:
                    v = spec.cvt(comments[spec.n][spec.slice])
                    if spec.scale is not None:
                        v *= spec.scale
                    sdt_md[name] = v
                except Exception as e:
                    warnings.warn(f'Failed to decode SDT-control metadata field `{name}`: {e}')
                    sdt_md[name] = None
        if version not in __class__.comment_fields:
            supported_ver = ', '.join(map(lambda x: f'{x[0]}.{x[1]:02}', __class__.comment_fields))
            warnings.warn(f'Unsupported SDT-control metadata version {version[0]}.{version[1]:02}. Only versions {supported_ver} are supported. Some or all SDT-control metadata may be missing.')
        comment = comments[0] + comments[2]
        sdt_md['comment'] = comment.strip()
        return sdt_md

    def get_datetime(date: str, time: str) -> Union[datetime, None]:
        """Turn date and time saved by SDT-control into proper datetime object Parameters ---------- date SPE file date, typically ``metadata["date"]``. time SPE file date, typically ``metadata["time_local"]``. Returns ------- File's datetime if parsing was succsessful, else None."""
        try:
            month = __class__.months[date[2:5]]
            return datetime(int(date[5:9]), month, int(date[0:2]), int(time[0:2]), int(time[2:4]), int(time[4:6]))
        except Exception as e:
            logger.info(f'Failed to decode date from SDT-control metadata: {e}.')

    def extract_metadata(meta: Mapping, char_encoding: str='latin1'):
        """Extract SDT-control metadata from SPE metadata SDT-control stores some metadata in comments and other fields. Extract them and remove unused entries. Parameters ---------- meta SPE file metadata. Modified in place. char_encoding Character encoding used to decode strings in the metadata."""
        comver = __class__.get_comment_version(meta['comments'])
        if any((c < 0 for c in comver)):
            logger.debug('SDT-control comments not found.')
            return
        sdt_meta = __class__.parse_comments(meta['comments'], comver)
        meta.pop('comments')
        meta.update(sdt_meta)
        dt = __class__.get_datetime(meta['date'], meta['time_local'])
        if dt:
            meta['datetime'] = dt
            meta.pop('date')
            meta.pop('time_local')
        sp4 = meta['spare_4']
        try:
            meta['modulation_script'] = sp4.decode(char_encoding)
            meta.pop('spare_4')
        except UnicodeDecodeError:
            warnings.warn('Failed to decode SDT-control laser modulation script. Bad char_encoding?')
        meta.pop('time_utc')
        meta.pop('exposure_sec')


前缀和+记忆优化，参考560题解

Prompt:
Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def pathSum1(self, root: TreeNode, sum: int) -> int: 前缀和+记忆优化，参考560题解
- def pathSum2(self, root: TreeNode, sum: int) -> int: https://leetcode-cn.com/problems/path-sum-iii/solution/437zhi-xu-yi-ci-di-gui-wu-xing-dai-ma-yong-lie-bia/

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def pathSum1(self, root: TreeNode, sum: int) -> int: 前缀和+记忆优化，参考560题解
- def pathSum2(self, root: TreeNode, sum: int) -> int: https://leetcode-cn.com/problems/path-sum-iii/solution/437zhi-xu-yi-ci-di-gui-wu-xing-dai-ma-yong-lie-bia/

<|skeleton|>
class Solution:

    def pathSum1(self, root: TreeNode, sum: int) -> int:
        """前缀和+记忆优化，参考560题解"""
        <|body_0|>

    def pathSum2(self, root: TreeNode, sum: int) -> int:
        """https://leetcode-cn.com/problems/path-sum-iii/solution/437zhi-xu-yi-ci-di-gui-wu-xing-dai-ma-yong-lie-bia/"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        target = sum
        memo = {0: 1}

        def dfs(node, cursum):
            if not node:
                return 0
            cursum += node.val
            count = memo.get(cursum - target, 0)
            memo[cursum] = memo.get(cursum, 0) + 1
            sub = dfs(node.left, cursum) + dfs(node.right, cursum)
            memo[cursum] -= 1
            return count + sub
        return dfs(root, 0)
<|end_body_0|>

<|body_start_1|>
        def dfs(node, sumlist):
            if not node:
                return 0
            sumlist = [num + node.val for num in sumlist] + [node.val]
            return sumlist.count(sum) + dfs(node.left, sumlist) + dfs(node.right, sumlist)
        return dfs(root, [])
<|end_body_1|>

Solution:
class Solution:
    def pathSum1(self, root: TreeNode, sum: int) -> int:
        """前缀和+记忆优化，参考560题解"""
        target = sum
        memo = {0: 1}

        def dfs(node, cursum):
            if not node:
                return 0
            cursum += node.val
            count = memo.get(cursum - target, 0)
            memo[cursum] = memo.get(cursum, 0) + 1
            sub = dfs(node.left, cursum) + dfs(node.right, cursum)
            memo[cursum] -= 1
            return count + sub
        return dfs(root, 0)

    def pathSum2(self, root: TreeNode, sum: int) -> int:
        """https://leetcode-cn.com/problems/path-sum-iii/solution/437zhi-xu-yi-ci-di-gui-wu-xing-dai-ma-yong-lie-bia/"""
        def dfs(node, sumlist):
            if not node:
                return 0
            sumlist = [num + node.val for num in sumlist] + [node.val]
            return sumlist.count(sum) + dfs(node.left, sumlist) + dfs(node.right, sumlist)
        return dfs(root, [])


Prompt:
Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def isPalindrome(self, x): :type x: int :rtype: bool
- def isPalindrome0(self, x): :type x: int :rtype: bool

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def isPalindrome(self, x): :type x: int :rtype: bool
- def isPalindrome0(self, x): :type x: int :rtype: bool

<|skeleton|>
class Solution:

    def isPalindrome(self, x):
        """:type x: int :rtype: bool"""
        <|body_0|>

    def isPalindrome0(self, x):
        """:type x: int :rtype: bool"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        if x < 0:
            return False
        if x < 10:
            return True
        l = []
        l.append(x % 10)
        x //= 10
        while x != 0:
            l.append(x % 10)
            x //= 10
        left = 0
        right = len(l) - 1
        while left <= right:
            if l[left] != l[right]:
                return False
            left += 1
            right -= 1
        return True
<|end_body_0|>

<|body_start_1|>
        if x < 0:
            return False
        l = list(str(x))
        n = len(l)
        if n == 1:
            return True
        left = 0
        right = len(l) - 1
        while left <= right:
            if l[left] != l[right]:
                return False
            left += 1
            right -= 1
        return True
<|end_body_1|>

Solution:
class Solution:
    def isPalindrome(self, x):
        """:type x: int :rtype: bool"""
        if x < 0:
            return False
        if x < 10:
            return True
        l = []
        l.append(x % 10)
        x //= 10
        while x != 0:
            l.append(x % 10)
            x //= 10
        left = 0
        right = len(l) - 1
        while left <= right:
            if l[left] != l[right]:
                return False
            left += 1
            right -= 1
        return True

    def isPalindrome0(self, x):
        """:type x: int :rtype: bool"""
        if x < 0:
            return False
        l = list(str(x))
        n = len(l)
        if n == 1:
            return True
        left = 0
        right = len(l) - 1
        while left <= right:
            if l[left] != l[right]:
                return False
            left += 1
            right -= 1
        return True


Prompt:
Implement the Python class `_DefaultToRequestDict` described below.

Class description:
Provide a default behavior for to_request_dict method.

Method signatures and docstrings:
- def _clean_descriptor_name(self, name: str): Update the attribute name to be the same as schema. Args: name (str): attribute name.
- def _skip_encoding(self, attr: str): Skip encoding if the attribute is an instance of _SkipEncodingDecoding descriptor
- def _to_request_dict(self): Implement this method in a subclass to return a custom request_dict.

Implement the Python class `_DefaultToRequestDict` described below.

Class description:
Provide a default behavior for to_request_dict method.

Method signatures and docstrings:
- def _clean_descriptor_name(self, name: str): Update the attribute name to be the same as schema. Args: name (str): attribute name.
- def _skip_encoding(self, attr: str): Skip encoding if the attribute is an instance of _SkipEncodingDecoding descriptor
- def _to_request_dict(self): Implement this method in a subclass to return a custom request_dict.

<|skeleton|>
class _DefaultToRequestDict:
    """Provide a default behavior for to_request_dict method."""

    def _clean_descriptor_name(self, name: str):
        """Update the attribute name to be the same as schema. Args: name (str): attribute name."""
        <|body_0|>

    def _skip_encoding(self, attr: str):
        """Skip encoding if the attribute is an instance of _SkipEncodingDecoding descriptor"""
        <|body_1|>

    def _to_request_dict(self):
        """Implement this method in a subclass to return a custom request_dict."""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        if name.startswith('_') and hasattr(self, name[1:]):
            name = name[1:]
        return name
<|end_body_0|>

<|body_start_1|>
        if attr in self.__class__.__dict__:
            return isinstance(self.__class__.__dict__[attr], _SkipEncodingDecoding)
        return False
<|end_body_1|>

<|body_start_2|>
        request_data = {}
        for attr, value in self.__dict__.items():
            if value is not None:
                name = self._clean_descriptor_name(attr)
                if not self._skip_encoding(name):
                    request_data[name] = value
        return request_data
<|end_body_2|>

Solution:
class _DefaultToRequestDict:
    """Provide a default behavior for to_request_dict method."""

    def _clean_descriptor_name(self, name: str):
        """Update the attribute name to be the same as schema. Args: name (str): attribute name."""
        if name.startswith('_') and hasattr(self, name[1:]):
            name = name[1:]
        return name

    def _skip_encoding(self, attr: str):
        """Skip encoding if the attribute is an instance of _SkipEncodingDecoding descriptor"""
        if attr in self.__class__.__dict__:
            return isinstance(self.__class__.__dict__[attr], _SkipEncodingDecoding)
        return False

    def _to_request_dict(self):
        """Implement this method in a subclass to return a custom request_dict."""
        request_data = {}
        for attr, value in self.__dict__.items():
            if value is not None:
                name = self._clean_descriptor_name(attr)
                if not self._skip_encoding(name):
                    request_data[name] = value
        return request_data


deserialize

Prompt:
Implement the Python class `Codec` described below.

Class description:
Implement the Codec class.

Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree.

Implement the Python class `Codec` described below.

Class description:
Implement the Codec class.

Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree.

<|skeleton|>
class Codec:

    def serialize(self, root: TreeNode) -> str:
        """Encodes a tree to a single string."""
        <|body_0|>

    def deserialize(self, data: str) -> TreeNode:
        """Decodes your encoded data to tree."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        def helper(cur):
            if not cur:
                return
            ans.append(cur.val)
            helper(cur.left)
            helper(cur.right)
            return ans
        ans = []
        helper(root)
        return ','.join([str(elem) for elem in ans])
<|end_body_0|>

<|body_start_1|>
        def helper(target, cur):
            if not cur:
                return TreeNode(target)
            elif target < cur.val:
                cur.left = helper(target, cur.left)
            elif target > cur.val:
                cur.right = helper(target, cur.right)
            return cur
        if not data:
            return None
        data = data.split(',')
        data = [int(elem) for elem in data]
        root = TreeNode(data[0])
        for i in range(1, len(data)):
            helper(data[i], root)
        return root
<|end_body_1|>

Solution:
class Codec:
    def serialize(self, root: TreeNode) -> str:
        """Encodes a tree to a single string."""
        def helper(cur):
            if not cur:
                return
            ans.append(cur.val)
            helper(cur.left)
            helper(cur.right)
            return ans
        ans = []
        helper(root)
        return ','.join([str(elem) for elem in ans])

    def deserialize(self, data: str) -> TreeNode:
        """Decodes your encoded data to tree."""
        def helper(target, cur):
            if not cur:
                return TreeNode(target)
            elif target < cur.val:
                cur.left = helper(target, cur.left)
            elif target > cur.val:
                cur.right = helper(target, cur.right)
            return cur
        if not data:
            return None
        data = data.split(',')
        data = [int(elem) for elem in data]
        root = TreeNode(data[0])
        for i in range(1, len(data)):
            helper(data[i], root)
        return root


Prompt:
Implement the Python class `FractionOfObservedIntensity` described below.

Class description:
Calculate the fraction of observed intensity for different sigma_m.

Method signatures and docstrings:
- def __init__(self, crystal, beam, detector, goniometer, scan, reflections): Initialise the algorithm. Calculate the list of tau and zetas. Params: reflections The list of reflections experiment The experiment object
- def _calculate_tau_and_zeta(self, crystal, beam, detector, goniometer, scan, reflections): Calculate the list of tau and zeta needed for the calculation. Params: reflections The list of reflections experiment The experiment object. Returns: (list of tau, list of zeta)
- def __call__(self, sigma_m): Calculate the fraction of observed intensity for each observation. Params: sigma_m The mosaicity Returns: A list of log intensity fractions

Implement the Python class `FractionOfObservedIntensity` described below.

Class description:
Calculate the fraction of observed intensity for different sigma_m.

Method signatures and docstrings:
- def __init__(self, crystal, beam, detector, goniometer, scan, reflections): Initialise the algorithm. Calculate the list of tau and zetas. Params: reflections The list of reflections experiment The experiment object
- def _calculate_tau_and_zeta(self, crystal, beam, detector, goniometer, scan, reflections): Calculate the list of tau and zeta needed for the calculation. Params: reflections The list of reflections experiment The experiment object. Returns: (list of tau, list of zeta)
- def __call__(self, sigma_m): Calculate the fraction of observed intensity for each observation. Params: sigma_m The mosaicity Returns: A list of log intensity fractions

<|skeleton|>
class FractionOfObservedIntensity:
    """Calculate the fraction of observed intensity for different sigma_m."""

    def __init__(self, crystal, beam, detector, goniometer, scan, reflections):
        """Initialise the algorithm. Calculate the list of tau and zetas. Params: reflections The list of reflections experiment The experiment object"""
        <|body_0|>

    def _calculate_tau_and_zeta(self, crystal, beam, detector, goniometer, scan, reflections):
        """Calculate the list of tau and zeta needed for the calculation. Params: reflections The list of reflections experiment The experiment object. Returns: (list of tau, list of zeta)"""
        <|body_1|>

    def __call__(self, sigma_m):
        """Calculate the fraction of observed intensity for each observation. Params: sigma_m The mosaicity Returns: A list of log intensity fractions"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        dphi2 = scan.get_oscillation(deg=False)[1] / 2.0
        tau, zeta = self._calculate_tau_and_zeta(crystal, beam, detector, goniometer, scan, reflections)
        self.e1 = (tau + dphi2) * flex.abs(zeta) / math.sqrt(2.0)
        self.e2 = (tau - dphi2) * flex.abs(zeta) / math.sqrt(2.0)
<|end_body_0|>

<|body_start_1|>
        from dials.algorithms.shoebox import MaskCode
        mask_code = MaskCode.Valid | MaskCode.Foreground
        sbox = reflections['shoebox']
        bbox = reflections['bbox']
        phi = reflections['xyzcal.mm'].parts()[2]
        zeta = reflections['zeta']
        tau = []
        zeta2 = []
        for s, b, p, z in zip(sbox, bbox, phi, zeta):
            for z0, f in enumerate(range(b[4], b[5])):
                phi0 = scan.get_angle_from_array_index(int(f), deg=False)
                phi1 = scan.get_angle_from_array_index(int(f) + 1, deg=False)
                m = s.mask[z0:z0 + 1, :, :]
                if m.count(mask_code) > 0:
                    tau.append((phi1 + phi0) / 2.0 - p)
                    zeta2.append(z)
        return (flex.double(tau), flex.double(zeta2))
<|end_body_1|>

<|body_start_2|>
        TINY = 1e-10
        assert sigma_m > TINY
        a = scitbx.math.erf(self.e1 / sigma_m)
        b = scitbx.math.erf(self.e2 / sigma_m)
        R = (a - b) / 2.0
        assert R.all_ge(0)
        mask = R < TINY
        assert mask.count(True) < len(mask)
        R.set_selected(mask, TINY)
        return flex.log(R)
<|end_body_2|>

Solution:
class FractionOfObservedIntensity:
    """Calculate the fraction of observed intensity for different sigma_m."""

    def __init__(self, crystal, beam, detector, goniometer, scan, reflections):
        """Initialise the algorithm. Calculate the list of tau and zetas. Params: reflections The list of reflections experiment The experiment object"""
        dphi2 = scan.get_oscillation(deg=False)[1] / 2.0
        tau, zeta = self._calculate_tau_and_zeta(crystal, beam, detector, goniometer, scan, reflections)
        self.e1 = (tau + dphi2) * flex.abs(zeta) / math.sqrt(2.0)
        self.e2 = (tau - dphi2) * flex.abs(zeta) / math.sqrt(2.0)

    def _calculate_tau_and_zeta(self, crystal, beam, detector, goniometer, scan, reflections):
        """Calculate the list of tau and zeta needed for the calculation. Params: reflections The list of reflections experiment The experiment object. Returns: (list of tau, list of zeta)"""
        from dials.algorithms.shoebox import MaskCode
        mask_code = MaskCode.Valid | MaskCode.Foreground
        sbox = reflections['shoebox']
        bbox = reflections['bbox']
        phi = reflections['xyzcal.mm'].parts()[2]
        zeta = reflections['zeta']
        tau = []
        zeta2 = []
        for s, b, p, z in zip(sbox, bbox, phi, zeta):
            for z0, f in enumerate(range(b[4], b[5])):
                phi0 = scan.get_angle_from_array_index(int(f), deg=False)
                phi1 = scan.get_angle_from_array_index(int(f) + 1, deg=False)
                m = s.mask[z0:z0 + 1, :, :]
                if m.count(mask_code) > 0:
                    tau.append((phi1 + phi0) / 2.0 - p)
                    zeta2.append(z)
        return (flex.double(tau), flex.double(zeta2))

    def __call__(self, sigma_m):
        """Calculate the fraction of observed intensity for each observation. Params: sigma_m The mosaicity Returns: A list of log intensity fractions"""
        TINY = 1e-10
        assert sigma_m > TINY
        a = scitbx.math.erf(self.e1 / sigma_m)
        b = scitbx.math.erf(self.e2 / sigma_m)
        R = (a - b) / 2.0
        assert R.all_ge(0)
        mask = R < TINY
        assert mask.count(True) < len(mask)
        R.set_selected(mask, TINY)
        return flex.log(R)