serialize

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

Class description:
Implement the PlannerBucket class.

Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> PlannerBucket: 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: PlannerBucket
- 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 `PlannerBucket` described below.

Class description:
Implement the PlannerBucket class.

Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> PlannerBucket: 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: PlannerBucket
- 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 PlannerBucket:

    def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> PlannerBucket:
        """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: PlannerBucket"""
        <|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 PlannerBucket()
<|end_body_0|>

<|body_start_1|>
        from .entity import Entity
        from .planner_task import PlannerTask
        from .entity import Entity
        from .planner_task import PlannerTask
        fields: Dict[str, Callable[[Any], None]] = {'name': lambda n: setattr(self, 'name', n.get_str_value()), 'orderHint': lambda n: setattr(self, 'order_hint', n.get_str_value()), 'planId': lambda n: setattr(self, 'plan_id', n.get_str_value()), 'tasks': lambda n: setattr(self, 'tasks', n.get_collection_of_object_values(PlannerTask))}
        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('name', self.name)
        writer.write_str_value('orderHint', self.order_hint)
        writer.write_str_value('planId', self.plan_id)
        writer.write_collection_of_object_values('tasks', self.tasks)
<|end_body_2|>

Solution:
class PlannerBucket:
    def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> PlannerBucket:
        """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: PlannerBucket"""
        if not parse_node:
            raise TypeError('parse_node cannot be null.')
        return PlannerBucket()

    def get_field_deserializers(self) -> Dict[str, Callable[[ParseNode], None]]:
        """The deserialization information for the current model Returns: Dict[str, Callable[[ParseNode], None]]"""
        from .entity import Entity
        from .planner_task import PlannerTask
        from .entity import Entity
        from .planner_task import PlannerTask
        fields: Dict[str, Callable[[Any], None]] = {'name': lambda n: setattr(self, 'name', n.get_str_value()), 'orderHint': lambda n: setattr(self, 'order_hint', n.get_str_value()), 'planId': lambda n: setattr(self, 'plan_id', n.get_str_value()), 'tasks': lambda n: setattr(self, 'tasks', n.get_collection_of_object_values(PlannerTask))}
        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('name', self.name)
        writer.write_str_value('orderHint', self.order_hint)
        writer.write_str_value('planId', self.plan_id)
        writer.write_collection_of_object_values('tasks', self.tasks)


deserialize

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

Class description:
Implement the Codec class.

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

Implement the Python class `Codec` described below.

Class description:
Implement the Codec class.

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

<|skeleton|>
class Codec:

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

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

<|end_skeleton|>

<|body_start_0|>
        res = []

        def helper(root):
            if not root:
                return
            res.append(str(root.val))
            res.append(str(len(root.children)))
            for ch in root.children:
                helper(ch)
        helper(root)
        return ','.join(res)
<|end_body_0|>

<|body_start_1|>
        if not data:
            return
        data = iter(data.split(','))

        def helper():
            tmp = int(next(data))
            num = int(next(data))
            root = Node(tmp, [])
            for _ in range(num):
                root.children.append(helper())
            return root
        return helper()
<|end_body_1|>

Solution:
class Codec:
    def serialize(self, root: 'Node') -> str:
        """Encodes a tree to a single string. :type root: Node :rtype: str"""
        res = []

        def helper(root):
            if not root:
                return
            res.append(str(root.val))
            res.append(str(len(root.children)))
            for ch in root.children:
                helper(ch)
        helper(root)
        return ','.join(res)

    def deserialize(self, data: str) -> 'Node':
        """Decodes your encoded data to tree. :type data: str :rtype: Node"""
        if not data:
            return
        data = iter(data.split(','))

        def helper():
            tmp = int(next(data))
            num = int(next(data))
            root = Node(tmp, [])
            for _ in range(num):
                root.children.append(helper())
            return root
        return helper()

428. Serialize and Deserialize N-ary Tree.py


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

Class description:
A custom bot object that provides a configuration handler and an aiohttp ClientSession. This is similar to k3.

Method signatures and docstrings:
- def __init__(self, *args, **kwargs): In addition to everything supported by commands.Bot, this also supports: * `config_file` - An `str` representing the configuration file of the bot. Defaults to `config.json`. This doesn't really have to be used, but it's there for convenience reasons. Instance variables not in the constructor: * `session` - An `aiohttp.ClientSession` that the bot can use to make HTTP requests. This is useful for commands that perform API hooks. * `config` - A `dict` containing key-value pairs meant for bot configuration. This doesn't really have to be used, but it's there for convenience reasons.
- def load_config(self, filename: str=None): Load config from a JSON file. * `filename` - The filename of the JSON file to be loaded. If not specified, the bot will default to `Bot.config_file`.
- def save_config(self, filename: str=None): Save config to a JSON file. * `filename` - The filename of the JSON file to be saved to. If not specified, the bot will default to `Bot.config_file`.

Implement the Python class `Bot` described below.

Class description:
A custom bot object that provides a configuration handler and an aiohttp ClientSession. This is similar to k3.

Method signatures and docstrings:
- def __init__(self, *args, **kwargs): In addition to everything supported by commands.Bot, this also supports: * `config_file` - An `str` representing the configuration file of the bot. Defaults to `config.json`. This doesn't really have to be used, but it's there for convenience reasons. Instance variables not in the constructor: * `session` - An `aiohttp.ClientSession` that the bot can use to make HTTP requests. This is useful for commands that perform API hooks. * `config` - A `dict` containing key-value pairs meant for bot configuration. This doesn't really have to be used, but it's there for convenience reasons.
- def load_config(self, filename: str=None): Load config from a JSON file. * `filename` - The filename of the JSON file to be loaded. If not specified, the bot will default to `Bot.config_file`.
- def save_config(self, filename: str=None): Save config to a JSON file. * `filename` - The filename of the JSON file to be saved to. If not specified, the bot will default to `Bot.config_file`.

<|skeleton|>
class Bot:
    """A custom bot object that provides a configuration handler and an aiohttp ClientSession. This is similar to k3."""

    def __init__(self, *args, **kwargs):
        """In addition to everything supported by commands.Bot, this also supports: * `config_file` - An `str` representing the configuration file of the bot. Defaults to `config.json`. This doesn't really have to be used, but it's there for convenience reasons. Instance variables not in the constructor: * `session` - An `aiohttp.ClientSession` that the bot can use to make HTTP requests. This is useful for commands that perform API hooks. * `config` - A `dict` containing key-value pairs meant for bot configuration. This doesn't really have to be used, but it's there for convenience reasons."""
        <|body_0|>

    def load_config(self, filename: str=None):
        """Load config from a JSON file. * `filename` - The filename of the JSON file to be loaded. If not specified, the bot will default to `Bot.config_file`."""
        <|body_1|>

    def save_config(self, filename: str=None):
        """Save config to a JSON file. * `filename` - The filename of the JSON file to be saved to. If not specified, the bot will default to `Bot.config_file`."""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        super().__init__(*args, **kwargs)
        self.config = {}
        self.config_file = kwargs.get('config_file', 'config.json')
        self.session = aiohttp.ClientSession(loop=self.loop)
<|end_body_0|>

<|body_start_1|>
        if not filename:
            filename = self.config_file
        with open(filename) as file_object:
            config = json.load(file_object)
        if isinstance(config, dict):
            for key, value in config.items():
                self.config[key] = value
<|end_body_1|>

<|body_start_2|>
        if not filename:
            filename = self.config_file
        with open(filename, 'w') as file_object:
            json.dump(self.config, file_object, indent=4, sort_keys=True)
<|end_body_2|>

Solution:
class Bot:
    """A custom bot object that provides a configuration handler and an aiohttp ClientSession. This is similar to k3."""

    def __init__(self, *args, **kwargs):
        """In addition to everything supported by commands.Bot, this also supports: * `config_file` - An `str` representing the configuration file of the bot. Defaults to `config.json`. This doesn't really have to be used, but it's there for convenience reasons. Instance variables not in the constructor: * `session` - An `aiohttp.ClientSession` that the bot can use to make HTTP requests. This is useful for commands that perform API hooks. * `config` - A `dict` containing key-value pairs meant for bot configuration. This doesn't really have to be used, but it's there for convenience reasons."""
        super().__init__(*args, **kwargs)
        self.config = {}
        self.config_file = kwargs.get('config_file', 'config.json')
        self.session = aiohttp.ClientSession(loop=self.loop)

    def load_config(self, filename: str=None):
        """Load config from a JSON file. * `filename` - The filename of the JSON file to be loaded. If not specified, the bot will default to `Bot.config_file`."""
        if not filename:
            filename = self.config_file
        with open(filename) as file_object:
            config = json.load(file_object)
        if isinstance(config, dict):
            for key, value in config.items():
                self.config[key] = value

    def save_config(self, filename: str=None):
        """Save config to a JSON file. * `filename` - The filename of the JSON file to be saved to. If not specified, the bot will default to `Bot.config_file`."""
        if not filename:
            filename = self.config_file
        with open(filename, 'w') as file_object:
            json.dump(self.config, file_object, indent=4, sort_keys=True)


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

Class description:
Contains data about a train depature.

Method signatures and docstrings:
- def __init__(self, train_api: TrafikverketTrain, name: str, from_station: StationInfo, to_station: StationInfo, weekday: list, departuretime: time | None, entry_id: str) -> None: Initialize the sensor.
- async def async_update(self) -> None: Retrieve latest state.
- def _update_attributes(self, state: TrainStop) -> None: Return extra state attributes.

Implement the Python class `TrainSensor` described below.

Class description:
Contains data about a train depature.

Method signatures and docstrings:
- def __init__(self, train_api: TrafikverketTrain, name: str, from_station: StationInfo, to_station: StationInfo, weekday: list, departuretime: time | None, entry_id: str) -> None: Initialize the sensor.
- async def async_update(self) -> None: Retrieve latest state.
- def _update_attributes(self, state: TrainStop) -> None: Return extra state attributes.

<|skeleton|>
class TrainSensor:
    """Contains data about a train depature."""

    def __init__(self, train_api: TrafikverketTrain, name: str, from_station: StationInfo, to_station: StationInfo, weekday: list, departuretime: time | None, entry_id: str) -> None:
        """Initialize the sensor."""
        <|body_0|>

    async def async_update(self) -> None:
        """Retrieve latest state."""
        <|body_1|>

    def _update_attributes(self, state: TrainStop) -> None:
        """Return extra state attributes."""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        self._train_api = train_api
        self._from_station = from_station
        self._to_station = to_station
        self._weekday = weekday
        self._time = departuretime
        self._attr_device_info = DeviceInfo(entry_type=DeviceEntryType.SERVICE, identifiers={(DOMAIN, entry_id)}, manufacturer='Trafikverket', model='v2.0', name=name, configuration_url='https://api.trafikinfo.trafikverket.se/')
        if TYPE_CHECKING:
            assert from_station.name and to_station.name
        self._attr_unique_id = create_unique_id(from_station.name, to_station.name, departuretime, weekday)
<|end_body_0|>

<|body_start_1|>
        when = dt.now()
        _state: TrainStop | None = None
        if self._time:
            departure_day = next_departuredate(self._weekday)
            when = datetime.combine(departure_day, self._time, dt.get_time_zone(self.hass.config.time_zone))
        try:
            if self._time:
                _LOGGER.debug('%s, %s, %s', self._from_station, self._to_station, when)
                _state = await self._train_api.async_get_train_stop(self._from_station, self._to_station, when)
            else:
                _state = await self._train_api.async_get_next_train_stop(self._from_station, self._to_station, when)
        except (NoTrainAnnouncementFound, MultipleTrainAnnouncementFound) as error:
            _LOGGER.error('Departure %s encountered a problem: %s', when, error)
        if not _state:
            self._attr_available = False
            self._attr_native_value = None
            self._attr_extra_state_attributes = {}
            return
        self._attr_available = True
        if TYPE_CHECKING:
            assert _state.advertised_time_at_location
        self._attr_native_value = dt.as_utc(_state.advertised_time_at_location)
        if _state.time_at_location:
            self._attr_native_value = dt.as_utc(_state.time_at_location)
        if _state.estimated_time_at_location:
            self._attr_native_value = dt.as_utc(_state.estimated_time_at_location)
        self._update_attributes(_state)
<|end_body_1|>

<|body_start_2|>
        attributes: dict[str, Any] = {ATTR_DEPARTURE_STATE: state.get_state().value, ATTR_CANCELED: state.canceled, ATTR_DELAY_TIME: None, ATTR_PLANNED_TIME: None, ATTR_ESTIMATED_TIME: None, ATTR_ACTUAL_TIME: None, ATTR_OTHER_INFORMATION: None, ATTR_DEVIATIONS: None}
        if (delay_in_minutes := state.get_delay_time()):
            attributes[ATTR_DELAY_TIME] = delay_in_minutes.total_seconds() / 60
        if (advert_time := state.advertised_time_at_location):
            attributes[ATTR_PLANNED_TIME] = _to_iso_format(advert_time)
        if (est_time := state.estimated_time_at_location):
            attributes[ATTR_ESTIMATED_TIME] = _to_iso_format(est_time)
        if (time_location := state.time_at_location):
            attributes[ATTR_ACTUAL_TIME] = _to_iso_format(time_location)
        if (other_info := state.other_information):
            attributes[ATTR_OTHER_INFORMATION] = ', '.join(other_info)
        if (deviation := state.deviations):
            attributes[ATTR_DEVIATIONS] = ', '.join(deviation)
        self._attr_extra_state_attributes = attributes
<|end_body_2|>

Solution:
class TrainSensor:
    """Contains data about a train depature."""

    def __init__(self, train_api: TrafikverketTrain, name: str, from_station: StationInfo, to_station: StationInfo, weekday: list, departuretime: time | None, entry_id: str) -> None:
        """Initialize the sensor."""
        self._train_api = train_api
        self._from_station = from_station
        self._to_station = to_station
        self._weekday = weekday
        self._time = departuretime
        self._attr_device_info = DeviceInfo(entry_type=DeviceEntryType.SERVICE, identifiers={(DOMAIN, entry_id)}, manufacturer='Trafikverket', model='v2.0', name=name, configuration_url='https://api.trafikinfo.trafikverket.se/')
        if TYPE_CHECKING:
            assert from_station.name and to_station.name
        self._attr_unique_id = create_unique_id(from_station.name, to_station.name, departuretime, weekday)

    async def async_update(self) -> None:
        """Retrieve latest state."""
        when = dt.now()
        _state: TrainStop | None = None
        if self._time:
            departure_day = next_departuredate(self._weekday)
            when = datetime.combine(departure_day, self._time, dt.get_time_zone(self.hass.config.time_zone))
        try:
            if self._time:
                _LOGGER.debug('%s, %s, %s', self._from_station, self._to_station, when)
                _state = await self._train_api.async_get_train_stop(self._from_station, self._to_station, when)
            else:
                _state = await self._train_api.async_get_next_train_stop(self._from_station, self._to_station, when)
        except (NoTrainAnnouncementFound, MultipleTrainAnnouncementFound) as error:
            _LOGGER.error('Departure %s encountered a problem: %s', when, error)
        if not _state:
            self._attr_available = False
            self._attr_native_value = None
            self._attr_extra_state_attributes = {}
            return
        self._attr_available = True
        if TYPE_CHECKING:
            assert _state.advertised_time_at_location
        self._attr_native_value = dt.as_utc(_state.advertised_time_at_location)
        if _state.time_at_location:
            self._attr_native_value = dt.as_utc(_state.time_at_location)
        if _state.estimated_time_at_location:
            self._attr_native_value = dt.as_utc(_state.estimated_time_at_location)
        self._update_attributes(_state)

    def _update_attributes(self, state: TrainStop) -> None:
        """Return extra state attributes."""
        attributes: dict[str, Any] = {ATTR_DEPARTURE_STATE: state.get_state().value, ATTR_CANCELED: state.canceled, ATTR_DELAY_TIME: None, ATTR_PLANNED_TIME: None, ATTR_ESTIMATED_TIME: None, ATTR_ACTUAL_TIME: None, ATTR_OTHER_INFORMATION: None, ATTR_DEVIATIONS: None}
        if (delay_in_minutes := state.get_delay_time()):
            attributes[ATTR_DELAY_TIME] = delay_in_minutes.total_seconds() / 60
        if (advert_time := state.advertised_time_at_location):
            attributes[ATTR_PLANNED_TIME] = _to_iso_format(advert_time)
        if (est_time := state.estimated_time_at_location):
            attributes[ATTR_ESTIMATED_TIME] = _to_iso_format(est_time)
        if (time_location := state.time_at_location):
            attributes[ATTR_ACTUAL_TIME] = _to_iso_format(time_location)
        if (other_info := state.other_information):
            attributes[ATTR_OTHER_INFORMATION] = ', '.join(other_info)
        if (deviation := state.deviations):
            attributes[ATTR_DEVIATIONS] = ', '.join(deviation)
        self._attr_extra_state_attributes = attributes


nextGreatestLetter

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

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def nextGreatestLetter(self, letters, target): :type letters: List[str] :type target: str :rtype: str
- def nextGreatestLetter1(self, letters, target): :type letters: List[str] :type target: str :rtype: str

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def nextGreatestLetter(self, letters, target): :type letters: List[str] :type target: str :rtype: str
- def nextGreatestLetter1(self, letters, target): :type letters: List[str] :type target: str :rtype: str

<|skeleton|>
class Solution:

    def nextGreatestLetter(self, letters, target):
        """:type letters: List[str] :type target: str :rtype: str"""
        <|body_0|>

    def nextGreatestLetter1(self, letters, target):
        """:type letters: List[str] :type target: str :rtype: str"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        first = None
        heapq.heapify(letters)
        while len(letters) != 0:
            source = heapq.heappop(letters)
            if source > target:
                return source
            if first is None:
                first = source
        return first
<|end_body_0|>

<|body_start_1|>
        for letter in letters:
            if letter > target:
                return letter
        return letters[0]
<|end_body_1|>

Solution:
class Solution:
    def nextGreatestLetter(self, letters, target):
        """:type letters: List[str] :type target: str :rtype: str"""
        first = None
        heapq.heapify(letters)
        while len(letters) != 0:
            source = heapq.heappop(letters)
            if source > target:
                return source
            if first is None:
                first = source
        return first

    def nextGreatestLetter1(self, letters, target):
        """:type letters: List[str] :type target: str :rtype: str"""
        for letter in letters:
            if letter > target:
                return letter
        return letters[0]

Python/Find Smallest Letter Greater Than Target/main.py


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

Class description:
Implement the TestPost class.

Method signatures and docstrings:
- def test_add_comment(self): Test adding comment to post
- def test_get_reaction_count(self): Test function return correct urls with count

Implement the Python class `TestPost` described below.

Class description:
Implement the TestPost class.

Method signatures and docstrings:
- def test_add_comment(self): Test adding comment to post
- def test_get_reaction_count(self): Test function return correct urls with count

<|skeleton|>
class TestPost:

    def test_add_comment(self):
        """Test adding comment to post"""
        <|body_0|>

    def test_get_reaction_count(self):
        """Test function return correct urls with count"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        post = PostFactory()
        comment = PostFactory()
        post.add_comment(comment)
        self.assertEqual(comment.title, post.title)
        self.assertTrue(comment.is_comment)
        self.assertEqual(comment.parent_post, post)
<|end_body_0|>

<|body_start_1|>
        post = PostFactory()
        reactions = {Reaction.ANGRY: 3, Reaction.LIKE: 2}
        for reaction, count in reactions.items():
            ReactionFactory.create_batch(count, post=post, description=reaction)
        self.assertEqual(post.get_reaction_counter(), [(Reaction.IMAGE_URLS[reaction], count) for reaction, count in reactions.items()])
<|end_body_1|>

Solution:
class TestPost:
    def test_add_comment(self):
        """Test adding comment to post"""
        post = PostFactory()
        comment = PostFactory()
        post.add_comment(comment)
        self.assertEqual(comment.title, post.title)
        self.assertTrue(comment.is_comment)
        self.assertEqual(comment.parent_post, post)

    def test_get_reaction_count(self):
        """Test function return correct urls with count"""
        post = PostFactory()
        reactions = {Reaction.ANGRY: 3, Reaction.LIKE: 2}
        for reaction, count in reactions.items():
            ReactionFactory.create_batch(count, post=post, description=reaction)
        self.assertEqual(post.get_reaction_counter(), [(Reaction.IMAGE_URLS[reaction], count) for reaction, count in reactions.items()])


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

Class description:
Implement the AuthenticationOperations class.

Method signatures and docstrings:
- async def exchange_aad_access_token_for_acr_refresh_token(self, grant_type: Union[str, '_models.PostContentSchemaGrantType'], service: str, tenant: Optional[str]=None, refresh_token: Optional[str]=None, access_token: Optional[str]=None, **kwargs: Any) -> _models.AcrRefreshToken: Exchange AAD tokens for an ACR refresh Token. :param grant_type: Can take a value of access_token_refresh_token, or access_token, or refresh_token. :type grant_type: str or ~container_registry.models.PostContentSchemaGrantType :param service: Indicates the name of your Azure container registry. :type service: str :param tenant: AAD tenant associated to the AAD credentials. Default value is None. :type tenant: str :param refresh_token: AAD refresh token, mandatory when grant_type is access_token_refresh_token or refresh_token. Default value is None. :type refresh_token: str :param access_token: AAD access token, mandatory when grant_type is access_token_refresh_token or access_token. Default
- async def exchange_acr_refresh_token_for_acr_access_token(self, service: str, scope: str, refresh_token: str, grant_type: Union[str, '_models.TokenGrantType']='refresh_token', **kwargs: Any) -> _models.AcrAccessToken: Exchange ACR Refresh token for an ACR Access Token. :param service: Indicates the name of your Azure container registry. :type service: str :param scope: Which is expected to be a valid scope, and can be specified more than once for multiple scope requests. You obtained this from the Www-Authenticate response header from the challenge. :type scope: str :param refresh_token: Must be a valid ACR refresh token. :type refresh_token: str :param grant_type: Grant type is expected to be refresh_token. Default value is "refresh_token". :type grant_type: str or ~container_registry.models.TokenGrantType :keyword callable cls: A custom type or function that will be passed the direct response :return: A

Implement the Python class `AuthenticationOperations` described below.

Class description:
Implement the AuthenticationOperations class.

Method signatures and docstrings:
- async def exchange_aad_access_token_for_acr_refresh_token(self, grant_type: Union[str, '_models.PostContentSchemaGrantType'], service: str, tenant: Optional[str]=None, refresh_token: Optional[str]=None, access_token: Optional[str]=None, **kwargs: Any) -> _models.AcrRefreshToken: Exchange AAD tokens for an ACR refresh Token. :param grant_type: Can take a value of access_token_refresh_token, or access_token, or refresh_token. :type grant_type: str or ~container_registry.models.PostContentSchemaGrantType :param service: Indicates the name of your Azure container registry. :type service: str :param tenant: AAD tenant associated to the AAD credentials. Default value is None. :type tenant: str :param refresh_token: AAD refresh token, mandatory when grant_type is access_token_refresh_token or refresh_token. Default value is None. :type refresh_token: str :param access_token: AAD access token, mandatory when grant_type is access_token_refresh_token or access_token. Default
- async def exchange_acr_refresh_token_for_acr_access_token(self, service: str, scope: str, refresh_token: str, grant_type: Union[str, '_models.TokenGrantType']='refresh_token', **kwargs: Any) -> _models.AcrAccessToken: Exchange ACR Refresh token for an ACR Access Token. :param service: Indicates the name of your Azure container registry. :type service: str :param scope: Which is expected to be a valid scope, and can be specified more than once for multiple scope requests. You obtained this from the Www-Authenticate response header from the challenge. :type scope: str :param refresh_token: Must be a valid ACR refresh token. :type refresh_token: str :param grant_type: Grant type is expected to be refresh_token. Default value is "refresh_token". :type grant_type: str or ~container_registry.models.TokenGrantType :keyword callable cls: A custom type or function that will be passed the direct response :return: A

<|skeleton|>
class AuthenticationOperations:

    async def exchange_aad_access_token_for_acr_refresh_token(self, grant_type: Union[str, '_models.PostContentSchemaGrantType'], service: str, tenant: Optional[str]=None, refresh_token: Optional[str]=None, access_token: Optional[str]=None, **kwargs: Any) -> _models.AcrRefreshToken:
        """Exchange AAD tokens for an ACR refresh Token. :param grant_type: Can take a value of access_token_refresh_token, or access_token, or refresh_token. :type grant_type: str or ~container_registry.models.PostContentSchemaGrantType :param service: Indicates the name of your Azure container registry. :type service: str :param tenant: AAD tenant associated to the AAD credentials. Default value is None. :type tenant: str :param refresh_token: AAD refresh token, mandatory when grant_type is access_token_refresh_token or refresh_token. Default value is None. :type refresh_token: str :param access_token: AAD access token, mandatory when grant_type is access_token_refresh_token or access_token. Default"""
        <|body_0|>

    async def exchange_acr_refresh_token_for_acr_access_token(self, service: str, scope: str, refresh_token: str, grant_type: Union[str, '_models.TokenGrantType']='refresh_token', **kwargs: Any) -> _models.AcrAccessToken:
        """Exchange ACR Refresh token for an ACR Access Token. :param service: Indicates the name of your Azure container registry. :type service: str :param scope: Which is expected to be a valid scope, and can be specified more than once for multiple scope requests. You obtained this from the Www-Authenticate response header from the challenge. :type scope: str :param refresh_token: Must be a valid ACR refresh token. :type refresh_token: str :param grant_type: Grant type is expected to be refresh_token. Default value is "refresh_token". :type grant_type: str or ~container_registry.models.TokenGrantType :keyword callable cls: A custom type or function that will be passed the direct response :return: A"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
        error_map.update(kwargs.pop('error_map', {}) or {})
        _headers = case_insensitive_dict(kwargs.pop('headers', {}) or {})
        _params = case_insensitive_dict(kwargs.pop('params', {}) or {})
        api_version = kwargs.pop('api_version', _params.pop('api-version', '2021-07-01'))
        content_type = kwargs.pop('content_type', _headers.pop('Content-Type', 'application/x-www-form-urlencoded'))
        cls = kwargs.pop('cls', None)
        _data = {'grant_type': grant_type, 'service': service, 'tenant': tenant, 'refresh_token': refresh_token, 'access_token': access_token}
        request = build_exchange_aad_access_token_for_acr_refresh_token_request(api_version=api_version, content_type=content_type, data=_data, headers=_headers, params=_params)
        path_format_arguments = {'url': self._serialize.url('self._config.url', self._config.url, 'str', skip_quote=True)}
        request.url = self._client.format_url(request.url, **path_format_arguments)
        pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response
        if response.status_code not in [200]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = self._deserialize.failsafe_deserialize(_models.AcrErrors, pipeline_response)
            raise HttpResponseError(response=response, model=error)
        deserialized = self._deserialize('AcrRefreshToken', pipeline_response)
        if cls:
            return cls(pipeline_response, deserialized, {})
        return deserialized
<|end_body_0|>

<|body_start_1|>
        error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
        error_map.update(kwargs.pop('error_map', {}) or {})
        _headers = case_insensitive_dict(kwargs.pop('headers', {}) or {})
        _params = case_insensitive_dict(kwargs.pop('params', {}) or {})
        api_version = kwargs.pop('api_version', _params.pop('api-version', '2021-07-01'))
        content_type = kwargs.pop('content_type', _headers.pop('Content-Type', 'application/x-www-form-urlencoded'))
        cls = kwargs.pop('cls', None)
        _data = {'service': service, 'scope': scope, 'refresh_token': refresh_token, 'grant_type': grant_type}
        request = build_exchange_acr_refresh_token_for_acr_access_token_request(api_version=api_version, content_type=content_type, data=_data, headers=_headers, params=_params)
        path_format_arguments = {'url': self._serialize.url('self._config.url', self._config.url, 'str', skip_quote=True)}
        request.url = self._client.format_url(request.url, **path_format_arguments)
        pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response
        if response.status_code not in [200]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = self._deserialize.failsafe_deserialize(_models.AcrErrors, pipeline_response)
            raise HttpResponseError(response=response, model=error)
        deserialized = self._deserialize('AcrAccessToken', pipeline_response)
        if cls:
            return cls(pipeline_response, deserialized, {})
        return deserialized
<|end_body_1|>

Solution:
class AuthenticationOperations:
    async def exchange_aad_access_token_for_acr_refresh_token(self, grant_type: Union[str, '_models.PostContentSchemaGrantType'], service: str, tenant: Optional[str]=None, refresh_token: Optional[str]=None, access_token: Optional[str]=None, **kwargs: Any) -> _models.AcrRefreshToken:
        """Exchange AAD tokens for an ACR refresh Token. :param grant_type: Can take a value of access_token_refresh_token, or access_token, or refresh_token. :type grant_type: str or ~container_registry.models.PostContentSchemaGrantType :param service: Indicates the name of your Azure container registry. :type service: str :param tenant: AAD tenant associated to the AAD credentials. Default value is None. :type tenant: str :param refresh_token: AAD refresh token, mandatory when grant_type is access_token_refresh_token or refresh_token. Default value is None. :type refresh_token: str :param access_token: AAD access token, mandatory when grant_type is access_token_refresh_token or access_token. Default"""
        error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
        error_map.update(kwargs.pop('error_map', {}) or {})
        _headers = case_insensitive_dict(kwargs.pop('headers', {}) or {})
        _params = case_insensitive_dict(kwargs.pop('params', {}) or {})
        api_version = kwargs.pop('api_version', _params.pop('api-version', '2021-07-01'))
        content_type = kwargs.pop('content_type', _headers.pop('Content-Type', 'application/x-www-form-urlencoded'))
        cls = kwargs.pop('cls', None)
        _data = {'grant_type': grant_type, 'service': service, 'tenant': tenant, 'refresh_token': refresh_token, 'access_token': access_token}
        request = build_exchange_aad_access_token_for_acr_refresh_token_request(api_version=api_version, content_type=content_type, data=_data, headers=_headers, params=_params)
        path_format_arguments = {'url': self._serialize.url('self._config.url', self._config.url, 'str', skip_quote=True)}
        request.url = self._client.format_url(request.url, **path_format_arguments)
        pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response
        if response.status_code not in [200]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = self._deserialize.failsafe_deserialize(_models.AcrErrors, pipeline_response)
            raise HttpResponseError(response=response, model=error)
        deserialized = self._deserialize('AcrRefreshToken', pipeline_response)
        if cls:
            return cls(pipeline_response, deserialized, {})
        return deserialized

    async def exchange_acr_refresh_token_for_acr_access_token(self, service: str, scope: str, refresh_token: str, grant_type: Union[str, '_models.TokenGrantType']='refresh_token', **kwargs: Any) -> _models.AcrAccessToken:
        """Exchange ACR Refresh token for an ACR Access Token. :param service: Indicates the name of your Azure container registry. :type service: str :param scope: Which is expected to be a valid scope, and can be specified more than once for multiple scope requests. You obtained this from the Www-Authenticate response header from the challenge. :type scope: str :param refresh_token: Must be a valid ACR refresh token. :type refresh_token: str :param grant_type: Grant type is expected to be refresh_token. Default value is "refresh_token". :type grant_type: str or ~container_registry.models.TokenGrantType :keyword callable cls: A custom type or function that will be passed the direct response :return: A"""
        error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
        error_map.update(kwargs.pop('error_map', {}) or {})
        _headers = case_insensitive_dict(kwargs.pop('headers', {}) or {})
        _params = case_insensitive_dict(kwargs.pop('params', {}) or {})
        api_version = kwargs.pop('api_version', _params.pop('api-version', '2021-07-01'))
        content_type = kwargs.pop('content_type', _headers.pop('Content-Type', 'application/x-www-form-urlencoded'))
        cls = kwargs.pop('cls', None)
        _data = {'service': service, 'scope': scope, 'refresh_token': refresh_token, 'grant_type': grant_type}
        request = build_exchange_acr_refresh_token_for_acr_access_token_request(api_version=api_version, content_type=content_type, data=_data, headers=_headers, params=_params)
        path_format_arguments = {'url': self._serialize.url('self._config.url', self._config.url, 'str', skip_quote=True)}
        request.url = self._client.format_url(request.url, **path_format_arguments)
        pipeline_response = await self._client._pipeline.run(request, stream=False, **kwargs)
        response = pipeline_response.http_response
        if response.status_code not in [200]:
            map_error(status_code=response.status_code, response=response, error_map=error_map)
            error = self._deserialize.failsafe_deserialize(_models.AcrErrors, pipeline_response)
            raise HttpResponseError(response=response, model=error)
        deserialized = self._deserialize('AcrAccessToken', pipeline_response)
        if cls:
            return cls(pipeline_response, deserialized, {})
        return deserialized


maxSubArray

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

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def maxSubArray(self, nums): 和最大的子列表 :type nums: List[int] :rtype: int
- def maxSubArray2(self, nums): 和最大的子列表 :type nums: List[int] :rtype: int

Implement the Python class `Solution` described below.

Class description:
Implement the Solution class.

Method signatures and docstrings:
- def maxSubArray(self, nums): 和最大的子列表 :type nums: List[int] :rtype: int
- def maxSubArray2(self, nums): 和最大的子列表 :type nums: List[int] :rtype: int

<|skeleton|>
class Solution:

    def maxSubArray(self, nums):
        """和最大的子列表 :type nums: List[int] :rtype: int"""
        <|body_0|>

    def maxSubArray2(self, nums):
        """和最大的子列表 :type nums: List[int] :rtype: int"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        sum = nums[0]
        max_sum = nums[0]
        for i in range(1, len(nums)):
            if sum < 0:
                sum = 0
            sum += nums[i]
            max_sum = max(sum, max_sum)
        return max_sum
<|end_body_0|>

<|body_start_1|>
        for i in range(1, len(nums)):
            if nums[i - 1] > 0:
                nums[i] += nums[i - 1]
        return max(nums)
<|end_body_1|>

Solution:
class Solution:
    def maxSubArray(self, nums):
        """和最大的子列表 :type nums: List[int] :rtype: int"""
        sum = nums[0]
        max_sum = nums[0]
        for i in range(1, len(nums)):
            if sum < 0:
                sum = 0
            sum += nums[i]
            max_sum = max(sum, max_sum)
        return max_sum

    def maxSubArray2(self, nums):
        """和最大的子列表 :type nums: List[int] :rtype: int"""
        for i in range(1, len(nums)):
            if nums[i - 1] > 0:
                nums[i] += nums[i - 1]
        return max(nums)


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

Class description:
The collection of conversions in a database.

Method signatures and docstrings:
- def from_map(self, schema, inmap): Initialize the dictionary of conversions by examining the input map :param schema: the schema owing the conversions :param inmap: the input YAML map defining the conversions
- def diff_map(self, inconvs): Generate SQL to transform existing conversions :param inconvs: a YAML map defining the new conversions :return: list of SQL statements Compares the existing conversion definitions, as fetched from the catalogs, to the input map and generates SQL statements to create, drop or change the conversions accordingly.

Implement the Python class `ConversionDict` described below.

Class description:
The collection of conversions in a database.

Method signatures and docstrings:
- def from_map(self, schema, inmap): Initialize the dictionary of conversions by examining the input map :param schema: the schema owing the conversions :param inmap: the input YAML map defining the conversions
- def diff_map(self, inconvs): Generate SQL to transform existing conversions :param inconvs: a YAML map defining the new conversions :return: list of SQL statements Compares the existing conversion definitions, as fetched from the catalogs, to the input map and generates SQL statements to create, drop or change the conversions accordingly.

<|skeleton|>
class ConversionDict:
    """The collection of conversions in a database."""

    def from_map(self, schema, inmap):
        """Initialize the dictionary of conversions by examining the input map :param schema: the schema owing the conversions :param inmap: the input YAML map defining the conversions"""
        <|body_0|>

    def diff_map(self, inconvs):
        """Generate SQL to transform existing conversions :param inconvs: a YAML map defining the new conversions :return: list of SQL statements Compares the existing conversion definitions, as fetched from the catalogs, to the input map and generates SQL statements to create, drop or change the conversions accordingly."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        for key in inmap:
            if not key.startswith('conversion '):
                raise KeyError('Unrecognized object type: %s' % key)
            cnv = key[11:]
            inconv = inmap[key]
            conv = Conversion(schema=schema.name, name=cnv, **inconv)
            if inconv:
                if 'oldname' in inconv:
                    conv.oldname = inconv['oldname']
                    del inconv['oldname']
                if 'description' in inconv:
                    conv.description = inconv['description']
            self[schema.name, cnv] = conv
<|end_body_0|>

<|body_start_1|>
        stmts = []
        for cnv in inconvs:
            inconv = inconvs[cnv]
            if cnv in self:
                stmts.append(self[cnv].diff_map(inconv))
            elif hasattr(inconv, 'oldname'):
                oldname = inconv.oldname
                try:
                    stmts.append(self[oldname].rename(inconv.name))
                    del self[oldname]
                except KeyError as exc:
                    exc.args = ("Previous name '%s' for conversion '%s' not found" % (oldname, inconv.name),)
                    raise
            else:
                stmts.append(inconv.create())
        for sch, cnv in self:
            if (sch, cnv) not in inconvs:
                stmts.append(self[sch, cnv].drop())
        return stmts
<|end_body_1|>

Solution:
class ConversionDict:
    """The collection of conversions in a database."""

    def from_map(self, schema, inmap):
        """Initialize the dictionary of conversions by examining the input map :param schema: the schema owing the conversions :param inmap: the input YAML map defining the conversions"""
        for key in inmap:
            if not key.startswith('conversion '):
                raise KeyError('Unrecognized object type: %s' % key)
            cnv = key[11:]
            inconv = inmap[key]
            conv = Conversion(schema=schema.name, name=cnv, **inconv)
            if inconv:
                if 'oldname' in inconv:
                    conv.oldname = inconv['oldname']
                    del inconv['oldname']
                if 'description' in inconv:
                    conv.description = inconv['description']
            self[schema.name, cnv] = conv

    def diff_map(self, inconvs):
        """Generate SQL to transform existing conversions :param inconvs: a YAML map defining the new conversions :return: list of SQL statements Compares the existing conversion definitions, as fetched from the catalogs, to the input map and generates SQL statements to create, drop or change the conversions accordingly."""
        stmts = []
        for cnv in inconvs:
            inconv = inconvs[cnv]
            if cnv in self:
                stmts.append(self[cnv].diff_map(inconv))
            elif hasattr(inconv, 'oldname'):
                oldname = inconv.oldname
                try:
                    stmts.append(self[oldname].rename(inconv.name))
                    del self[oldname]
                except KeyError as exc:
                    exc.args = ("Previous name '%s' for conversion '%s' not found" % (oldname, inconv.name),)
                    raise
            else:
                stmts.append(inconv.create())
        for sch, cnv in self:
            if (sch, cnv) not in inconvs:
                stmts.append(self[sch, cnv].drop())
        return stmts


deserialize

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

Class description:
Implement the Codec class.

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

Implement the Python class `Codec` described below.

Class description:
Implement the Codec class.

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

<|skeleton|>
class Codec:

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

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

<|end_skeleton|>

<|body_start_0|>
        if not root:
            return ''
        queue = deque()
        queue.append(root)
        res = ''
        while len(queue):
            node = queue.popleft()
            if not node:
                res += 'n '
                continue
            res += str(node.val) + ' '
            queue.append(node.left)
            queue.append(node.right)
        return res
<|end_body_0|>

<|body_start_1|>
        if data == '':
            return None
        queue = deque()
        values = data.split()
        root = TreeNode(int(values[0]))
        queue.append(root)
        i = 1
        while i < len(values):
            parent = queue.popleft()
            if values[i] != 'n':
                left = TreeNode(int(values[i]))
                parent.left = left
                queue.append(left)
            i += 1
            if values[i] != 'n':
                right = TreeNode(int(values[i]))
                parent.right = right
                queue.append(right)
            i += 1
        return root
<|end_body_1|>

Solution:
class Codec:
    def serialize(self, root):
        """Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
        if not root:
            return ''
        queue = deque()
        queue.append(root)
        res = ''
        while len(queue):
            node = queue.popleft()
            if not node:
                res += 'n '
                continue
            res += str(node.val) + ' '
            queue.append(node.left)
            queue.append(node.right)
        return res

    def deserialize(self, data):
        """Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
        if data == '':
            return None
        queue = deque()
        values = data.split()
        root = TreeNode(int(values[0]))
        queue.append(root)
        i = 1
        while i < len(values):
            parent = queue.popleft()
            if values[i] != 'n':
                left = TreeNode(int(values[i]))
                parent.left = left
                queue.append(left)
            i += 1
            if values[i] != 'n':
                right = TreeNode(int(values[i]))
                parent.right = right
                queue.append(right)
            i += 1
        return root


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

Class description:
Functor that modifies the outputs of an ONNX model.

Method signatures and docstrings:
- def __init__(self, model, outputs=None, exclude_outputs=None, copy=None): Modifies outputs of an ONNX model. Args: model (Union[onnx.ModelProto, Callable() -> onnx.ModelProto]): An ONNX model or a callable that returns one. outputs (Sequence[str]): Names of tensors to mark as outputs. If provided, this will override the existing model outputs. If a value of `constants.MARK_ALL` is used instead of a list, all tensors in the network are marked. exclude_outputs (Sequence[str]): Names of tensors to exclude as outputs. This can be useful in conjunction with ``outputs=constants.MARK_ALL`` to omit outputs. copy (bool): Whether to create a copy of the model first. Defaults to False.
- def call_impl(self): Returns: onnx.ModelProto: The ONNX model with modified outputs.

Implement the Python class `ModifyOutputs` described below.

Class description:
Functor that modifies the outputs of an ONNX model.

Method signatures and docstrings:
- def __init__(self, model, outputs=None, exclude_outputs=None, copy=None): Modifies outputs of an ONNX model. Args: model (Union[onnx.ModelProto, Callable() -> onnx.ModelProto]): An ONNX model or a callable that returns one. outputs (Sequence[str]): Names of tensors to mark as outputs. If provided, this will override the existing model outputs. If a value of `constants.MARK_ALL` is used instead of a list, all tensors in the network are marked. exclude_outputs (Sequence[str]): Names of tensors to exclude as outputs. This can be useful in conjunction with ``outputs=constants.MARK_ALL`` to omit outputs. copy (bool): Whether to create a copy of the model first. Defaults to False.
- def call_impl(self): Returns: onnx.ModelProto: The ONNX model with modified outputs.

<|skeleton|>
class ModifyOutputs:
    """Functor that modifies the outputs of an ONNX model."""

    def __init__(self, model, outputs=None, exclude_outputs=None, copy=None):
        """Modifies outputs of an ONNX model. Args: model (Union[onnx.ModelProto, Callable() -> onnx.ModelProto]): An ONNX model or a callable that returns one. outputs (Sequence[str]): Names of tensors to mark as outputs. If provided, this will override the existing model outputs. If a value of `constants.MARK_ALL` is used instead of a list, all tensors in the network are marked. exclude_outputs (Sequence[str]): Names of tensors to exclude as outputs. This can be useful in conjunction with ``outputs=constants.MARK_ALL`` to omit outputs. copy (bool): Whether to create a copy of the model first. Defaults to False."""
        <|body_0|>

    def call_impl(self):
        """Returns: onnx.ModelProto: The ONNX model with modified outputs."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        super().__init__(model, copy)
        self.outputs = outputs
        self.exclude_outputs = exclude_outputs
<|end_body_0|>

<|body_start_1|>
        model = self.load()
        if self.outputs == constants.MARK_ALL:
            G_LOGGER.verbose('Marking all ONNX tensors as outputs')
            model = onnx_util.mark_layerwise(model)
        elif self.outputs is not None:
            model = onnx_util.mark_outputs(model, self.outputs)
        if self.exclude_outputs is not None:
            model = onnx_util.unmark_outputs(model, self.exclude_outputs)
        return model
<|end_body_1|>

Solution:
class ModifyOutputs:
    """Functor that modifies the outputs of an ONNX model."""

    def __init__(self, model, outputs=None, exclude_outputs=None, copy=None):
        """Modifies outputs of an ONNX model. Args: model (Union[onnx.ModelProto, Callable() -> onnx.ModelProto]): An ONNX model or a callable that returns one. outputs (Sequence[str]): Names of tensors to mark as outputs. If provided, this will override the existing model outputs. If a value of `constants.MARK_ALL` is used instead of a list, all tensors in the network are marked. exclude_outputs (Sequence[str]): Names of tensors to exclude as outputs. This can be useful in conjunction with ``outputs=constants.MARK_ALL`` to omit outputs. copy (bool): Whether to create a copy of the model first. Defaults to False."""
        super().__init__(model, copy)
        self.outputs = outputs
        self.exclude_outputs = exclude_outputs

    def call_impl(self):
        """Returns: onnx.ModelProto: The ONNX model with modified outputs."""
        model = self.load()
        if self.outputs == constants.MARK_ALL:
            G_LOGGER.verbose('Marking all ONNX tensors as outputs')
            model = onnx_util.mark_layerwise(model)
        elif self.outputs is not None:
            model = onnx_util.mark_outputs(model, self.outputs)
        if self.exclude_outputs is not None:
            model = onnx_util.unmark_outputs(model, self.exclude_outputs)
        return model


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

Class description:
Class representing an experiment, consisting of multiple simulation runs.

Method signatures and docstrings:
- def __init__(self, args): Constructs an instance of this class. :param args: The parsed commandline arguments passed to this program.
- def run(self): Runs the experiment.

Implement the Python class `Experiment` described below.

Class description:
Class representing an experiment, consisting of multiple simulation runs.

Method signatures and docstrings:
- def __init__(self, args): Constructs an instance of this class. :param args: The parsed commandline arguments passed to this program.
- def run(self): Runs the experiment.

<|skeleton|>
class Experiment:
    """Class representing an experiment, consisting of multiple simulation runs."""

    def __init__(self, args):
        """Constructs an instance of this class. :param args: The parsed commandline arguments passed to this program."""
        <|body_0|>

    def run(self):
        """Runs the experiment."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        self.args = args
        self.num_iterations = args.num_iterations
        self.csv_reporter = CSVReporter(args)
<|end_body_0|>

<|body_start_1|>
        for iteration in range(self.num_iterations):
            logging.info('Running simulation iteration {}/{}'.format(iteration + 1, self.num_iterations))
            simulation = Simulation(self.args, iteration, self.csv_reporter)
            simulation.run()
        self.csv_reporter.close()
<|end_body_1|>

Solution:
class Experiment:
    """Class representing an experiment, consisting of multiple simulation runs."""

    def __init__(self, args):
        """Constructs an instance of this class. :param args: The parsed commandline arguments passed to this program."""
        self.args = args
        self.num_iterations = args.num_iterations
        self.csv_reporter = CSVReporter(args)

    def run(self):
        """Runs the experiment."""
        for iteration in range(self.num_iterations):
            logging.info('Running simulation iteration {}/{}'.format(iteration + 1, self.num_iterations))
            simulation = Simulation(self.args, iteration, self.csv_reporter)
            simulation.run()
        self.csv_reporter.close()


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

Class description:
Threading example class The run() method will be started and it will run in the background until the application exits.

Method signatures and docstrings:
- def __init__(self, interval=1): Constructor :type interval: int :param interval: Check interval, in seconds
- def run(self): Method that runs forever

Implement the Python class `ThreadingExample` described below.

Class description:
Threading example class The run() method will be started and it will run in the background until the application exits.

Method signatures and docstrings:
- def __init__(self, interval=1): Constructor :type interval: int :param interval: Check interval, in seconds
- def run(self): Method that runs forever

<|skeleton|>
class ThreadingExample:
    """Threading example class The run() method will be started and it will run in the background until the application exits."""

    def __init__(self, interval=1):
        """Constructor :type interval: int :param interval: Check interval, in seconds"""
        <|body_0|>

    def run(self):
        """Method that runs forever"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        self.interval = interval
        thread = threading.Thread(target=self.run, args=())
        thread.start()
<|end_body_0|>

<|body_start_1|>
        while True:
            global uri
            daemon = Pyro4.Daemon()
            uri = daemon.register(Client)
            daemon.requestLoop()
<|end_body_1|>

Solution:
class ThreadingExample:
    """Threading example class The run() method will be started and it will run in the background until the application exits."""

    def __init__(self, interval=1):
        """Constructor :type interval: int :param interval: Check interval, in seconds"""
        self.interval = interval
        thread = threading.Thread(target=self.run, args=())
        thread.start()

    def run(self):
        """Method that runs forever"""
        while True:
            global uri
            daemon = Pyro4.Daemon()
            uri = daemon.register(Client)
            daemon.requestLoop()


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

Class description:
Radar sensor class.

Method signatures and docstrings:
- def __init__(self, vehicle_id, name, sens_range, sens_angle): Initialize Radar sensor class. @param vehicle_id: I{(int)} ID of the vehicle this sensor belongs to. @param name: I{(str)} Name of the sensor under which it will publish its readings. @param sens_range: I{(float)} Range of the randar sensor. @param sens_angle: I{(float)} Opening angle of the radar sensor.
- def publish_readings(self): Publish the sensor readings.

Implement the Python class `Radar` described below.

Class description:
Radar sensor class.

Method signatures and docstrings:
- def __init__(self, vehicle_id, name, sens_range, sens_angle): Initialize Radar sensor class. @param vehicle_id: I{(int)} ID of the vehicle this sensor belongs to. @param name: I{(str)} Name of the sensor under which it will publish its readings. @param sens_range: I{(float)} Range of the randar sensor. @param sens_angle: I{(float)} Opening angle of the radar sensor.
- def publish_readings(self): Publish the sensor readings.

<|skeleton|>
class Radar:
    """Radar sensor class."""

    def __init__(self, vehicle_id, name, sens_range, sens_angle):
        """Initialize Radar sensor class. @param vehicle_id: I{(int)} ID of the vehicle this sensor belongs to. @param name: I{(str)} Name of the sensor under which it will publish its readings. @param sens_range: I{(float)} Range of the randar sensor. @param sens_angle: I{(float)} Opening angle of the radar sensor."""
        <|body_0|>

    def publish_readings(self):
        """Publish the sensor readings."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        super(Radar, self).__init__(vehicle_id)
        self.name = name
        self.sens_range = float(sens_range)
        self.sens_angle = float(sens_angle) * np.pi / 180.0
        self.pub_readings = rospy.Publisher(self.name + '_readings', RadarReadings, queue_size=10)
<|end_body_0|>

<|body_start_1|>
        if not np.any(self.vehicle_states[0] == self.vehicle_id) or not self.vehicle_states.shape[1] > 1:
            return
        ind = self.vehicle_states[0].tolist().index(self.vehicle_id)
        self_state = self.vehicle_states[:, ind]
        vehicle_states = np.delete(self.vehicle_states, np.s_[ind], 1)
        rel_state = (vehicle_states[(1, 2, 3), :].transpose() - self_state[[1, 2, 3]]).transpose()
        yaw = self_state[3]
        rot = np.asmatrix([[np.cos(yaw), np.sin(yaw)], [-np.sin(yaw), np.cos(yaw)]])
        rel_pos = rot * rel_state[(0, 1), :]
        to_polar = np.vectorize(lambda x, y: (np.hypot(x, y), np.arctan2(y, x)))
        rel_rho, rel_theta = to_polar(rel_pos[0, :], rel_pos[1, :])
        pol_state = np.concatenate((np.array(rel_rho), np.array(rel_theta), [rel_state[2, :]]), axis=0)
        pol_state = pol_state[:, np.all((pol_state[0, :] <= self.sens_range, np.abs(pol_state[1, :]) <= self.sens_angle), axis=0)]
        radar_readings = []
        for v in pol_state.transpose():
            radar_readings.append(Pose2DPolar(v[0], v[1], v[2]))
        self.pub_readings.publish(RadarReadings(radar_readings))
<|end_body_1|>

Solution:
class Radar:
    """Radar sensor class."""

    def __init__(self, vehicle_id, name, sens_range, sens_angle):
        """Initialize Radar sensor class. @param vehicle_id: I{(int)} ID of the vehicle this sensor belongs to. @param name: I{(str)} Name of the sensor under which it will publish its readings. @param sens_range: I{(float)} Range of the randar sensor. @param sens_angle: I{(float)} Opening angle of the radar sensor."""
        super(Radar, self).__init__(vehicle_id)
        self.name = name
        self.sens_range = float(sens_range)
        self.sens_angle = float(sens_angle) * np.pi / 180.0
        self.pub_readings = rospy.Publisher(self.name + '_readings', RadarReadings, queue_size=10)

    def publish_readings(self):
        """Publish the sensor readings."""
        if not np.any(self.vehicle_states[0] == self.vehicle_id) or not self.vehicle_states.shape[1] > 1:
            return
        ind = self.vehicle_states[0].tolist().index(self.vehicle_id)
        self_state = self.vehicle_states[:, ind]
        vehicle_states = np.delete(self.vehicle_states, np.s_[ind], 1)
        rel_state = (vehicle_states[(1, 2, 3), :].transpose() - self_state[[1, 2, 3]]).transpose()
        yaw = self_state[3]
        rot = np.asmatrix([[np.cos(yaw), np.sin(yaw)], [-np.sin(yaw), np.cos(yaw)]])
        rel_pos = rot * rel_state[(0, 1), :]
        to_polar = np.vectorize(lambda x, y: (np.hypot(x, y), np.arctan2(y, x)))
        rel_rho, rel_theta = to_polar(rel_pos[0, :], rel_pos[1, :])
        pol_state = np.concatenate((np.array(rel_rho), np.array(rel_theta), [rel_state[2, :]]), axis=0)
        pol_state = pol_state[:, np.all((pol_state[0, :] <= self.sens_range, np.abs(pol_state[1, :]) <= self.sens_angle), axis=0)]
        radar_readings = []
        for v in pol_state.transpose():
            radar_readings.append(Pose2DPolar(v[0], v[1], v[2]))
        self.pub_readings.publish(RadarReadings(radar_readings))


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

Class description:
Implement the BitbucketCloudBase class.

Method signatures and docstrings:
- def __init__(self, url, *args, **kwargs): Init the rest api wrapper :param url: string: The base url used for the rest api. :param *args: list: The fixed arguments for the AtlassianRestApi. :param **kwargs: dict: The keyword arguments for the AtlassianRestApi. :return: nothing
- def get_link(self, link): Get a link from the data. :param link: string: The link identifier :return: The requested link or None if it isn't present
- def _get_paged(self, url, params=None, data=None, flags=None, trailing=None, absolute=False, paging_workaround=False): Used to get the paged data :param url: string: The url to retrieve :param params: dict (default is None): The parameter's :param data: dict (default is None): The data :param flags: string[] (default is None): The flags :param trailing: bool (default is None): If True, a trailing slash is added to the url :param absolute: bool (default is False): If True, the url is used absolute and not relative to the root :param paging_workaround: bool (default is False): If True, the paging is done on our own because of https://jira.atlassian.com/browse/BCLOUD-13806 :return: A generator object for the data elements
- def raise_for_status(self, response): Checks the response for errors and throws an exception if return code >= 400 Implementation for Bitbucket Cloud according to https://developer.atlassian.com/cloud/bitbucket/rest/intro/#standardized-error-responses :param response: :return:

Implement the Python class `BitbucketCloudBase` described below.

Class description:
Implement the BitbucketCloudBase class.

Method signatures and docstrings:
- def __init__(self, url, *args, **kwargs): Init the rest api wrapper :param url: string: The base url used for the rest api. :param *args: list: The fixed arguments for the AtlassianRestApi. :param **kwargs: dict: The keyword arguments for the AtlassianRestApi. :return: nothing
- def get_link(self, link): Get a link from the data. :param link: string: The link identifier :return: The requested link or None if it isn't present
- def _get_paged(self, url, params=None, data=None, flags=None, trailing=None, absolute=False, paging_workaround=False): Used to get the paged data :param url: string: The url to retrieve :param params: dict (default is None): The parameter's :param data: dict (default is None): The data :param flags: string[] (default is None): The flags :param trailing: bool (default is None): If True, a trailing slash is added to the url :param absolute: bool (default is False): If True, the url is used absolute and not relative to the root :param paging_workaround: bool (default is False): If True, the paging is done on our own because of https://jira.atlassian.com/browse/BCLOUD-13806 :return: A generator object for the data elements
- def raise_for_status(self, response): Checks the response for errors and throws an exception if return code >= 400 Implementation for Bitbucket Cloud according to https://developer.atlassian.com/cloud/bitbucket/rest/intro/#standardized-error-responses :param response: :return:

<|skeleton|>
class BitbucketCloudBase:

    def __init__(self, url, *args, **kwargs):
        """Init the rest api wrapper :param url: string: The base url used for the rest api. :param *args: list: The fixed arguments for the AtlassianRestApi. :param **kwargs: dict: The keyword arguments for the AtlassianRestApi. :return: nothing"""
        <|body_0|>

    def get_link(self, link):
        """Get a link from the data. :param link: string: The link identifier :return: The requested link or None if it isn't present"""
        <|body_1|>

    def _get_paged(self, url, params=None, data=None, flags=None, trailing=None, absolute=False, paging_workaround=False):
        """Used to get the paged data :param url: string: The url to retrieve :param params: dict (default is None): The parameter's :param data: dict (default is None): The data :param flags: string[] (default is None): The flags :param trailing: bool (default is None): If True, a trailing slash is added to the url :param absolute: bool (default is False): If True, the url is used absolute and not relative to the root :param paging_workaround: bool (default is False): If True, the paging is done on our own because of https://jira.atlassian.com/browse/BCLOUD-13806 :return: A generator object for the data elements"""
        <|body_2|>

    def raise_for_status(self, response):
        """Checks the response for errors and throws an exception if return code >= 400 Implementation for Bitbucket Cloud according to https://developer.atlassian.com/cloud/bitbucket/rest/intro/#standardized-error-responses :param response: :return:"""
        <|body_3|>

<|end_skeleton|>

<|body_start_0|>
        expected_type = kwargs.pop('expected_type', None)
        super(BitbucketCloudBase, self).__init__(url, *args, **kwargs)
        if expected_type is not None and (not expected_type == self.get_data('type')):
            raise ValueError('Expected type of data is [{}], got [{}].'.format(expected_type, self.get_data('type')))
<|end_body_0|>

<|body_start_1|>
        links = self.get_data('links')
        if links is None or link not in links:
            return None
        return links[link]['href']
<|end_body_1|>

<|body_start_2|>
        if params is None:
            params = {}
        if paging_workaround:
            params['page'] = 1
        while True:
            response = super(BitbucketCloudBase, self).get(url, trailing=trailing, params=params, data=data, flags=flags, absolute=absolute)
            if len(response.get('values', [])) == 0:
                return
            for value in response['values']:
                yield value
            if paging_workaround:
                params['page'] += 1
            else:
                url = response.get('next')
                if url is None:
                    break
                absolute = True
                params = {}
                trailing = False
        return
<|end_body_2|>

<|body_start_3|>
        if 400 <= response.status_code < 600:
            try:
                j = response.json()
                e = j['error']
                error_msg = e['message']
                if e.get('detail'):
                    error_msg += '\n' + e['detail']
            except Exception as e:
                log.error(e)
                response.raise_for_status()
            else:
                raise HTTPError(error_msg, response=response)
        else:
            response.raise_for_status()
<|end_body_3|>

Solution:
class BitbucketCloudBase:
    def __init__(self, url, *args, **kwargs):
        """Init the rest api wrapper :param url: string: The base url used for the rest api. :param *args: list: The fixed arguments for the AtlassianRestApi. :param **kwargs: dict: The keyword arguments for the AtlassianRestApi. :return: nothing"""
        expected_type = kwargs.pop('expected_type', None)
        super(BitbucketCloudBase, self).__init__(url, *args, **kwargs)
        if expected_type is not None and (not expected_type == self.get_data('type')):
            raise ValueError('Expected type of data is [{}], got [{}].'.format(expected_type, self.get_data('type')))

    def get_link(self, link):
        """Get a link from the data. :param link: string: The link identifier :return: The requested link or None if it isn't present"""
        links = self.get_data('links')
        if links is None or link not in links:
            return None
        return links[link]['href']

    def _get_paged(self, url, params=None, data=None, flags=None, trailing=None, absolute=False, paging_workaround=False):
        """Used to get the paged data :param url: string: The url to retrieve :param params: dict (default is None): The parameter's :param data: dict (default is None): The data :param flags: string[] (default is None): The flags :param trailing: bool (default is None): If True, a trailing slash is added to the url :param absolute: bool (default is False): If True, the url is used absolute and not relative to the root :param paging_workaround: bool (default is False): If True, the paging is done on our own because of https://jira.atlassian.com/browse/BCLOUD-13806 :return: A generator object for the data elements"""
        if params is None:
            params = {}
        if paging_workaround:
            params['page'] = 1
        while True:
            response = super(BitbucketCloudBase, self).get(url, trailing=trailing, params=params, data=data, flags=flags, absolute=absolute)
            if len(response.get('values', [])) == 0:
                return
            for value in response['values']:
                yield value
            if paging_workaround:
                params['page'] += 1
            else:
                url = response.get('next')
                if url is None:
                    break
                absolute = True
                params = {}
                trailing = False
        return

    def raise_for_status(self, response):
        """Checks the response for errors and throws an exception if return code >= 400 Implementation for Bitbucket Cloud according to https://developer.atlassian.com/cloud/bitbucket/rest/intro/#standardized-error-responses :param response: :return:"""
        if 400 <= response.status_code < 600:
            try:
                j = response.json()
                e = j['error']
                error_msg = e['message']
                if e.get('detail'):
                    error_msg += '\n' + e['detail']
            except Exception as e:
                log.error(e)
                response.raise_for_status()
            else:
                raise HTTPError(error_msg, response=response)
        else:
            response.raise_for_status()


click

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

Class description:
This represents the element

Method signatures and docstrings:
- def __init__(self, driver, by, value): This initializes the values :param driver: arg1 and webdriver :param by: arg2 and the by element :param value: arg3 and the value
- def find(self): This is used to find the element :return:
- def click(self): This is used to click the element :return:
- def is_visible(self): This is check whether element is visible :return: returns the boolean value
- def is_enabled(self): This is used to check whether element is enabled :return: returns the boolean value
- def enter_text(self, text): This is used to enter the text :param text: arg1 and text to enter into the element :return: nothing

Implement the Python class `BaseElement` described below.

Class description:
This represents the element

Method signatures and docstrings:
- def __init__(self, driver, by, value): This initializes the values :param driver: arg1 and webdriver :param by: arg2 and the by element :param value: arg3 and the value
- def find(self): This is used to find the element :return:
- def click(self): This is used to click the element :return:
- def is_visible(self): This is check whether element is visible :return: returns the boolean value
- def is_enabled(self): This is used to check whether element is enabled :return: returns the boolean value
- def enter_text(self, text): This is used to enter the text :param text: arg1 and text to enter into the element :return: nothing

<|skeleton|>
class BaseElement:
    """This represents the element"""

    def __init__(self, driver, by, value):
        """This initializes the values :param driver: arg1 and webdriver :param by: arg2 and the by element :param value: arg3 and the value"""
        <|body_0|>

    def find(self):
        """This is used to find the element :return:"""
        <|body_1|>

    def click(self):
        """This is used to click the element :return:"""
        <|body_2|>

    def is_visible(self):
        """This is check whether element is visible :return: returns the boolean value"""
        <|body_3|>

    def is_enabled(self):
        """This is used to check whether element is enabled :return: returns the boolean value"""
        <|body_4|>

    def enter_text(self, text):
        """This is used to enter the text :param text: arg1 and text to enter into the element :return: nothing"""
        <|body_5|>

<|end_skeleton|>

<|body_start_0|>
        self.driver = driver
        self.by = by
        self.value = value
        self.locator = (self.by, self.value)
        self.webelement = None
<|end_body_0|>

<|body_start_1|>
        element = WebDriverWait(self.driver, 10).until(EC.visibility_of_element_located(locator=self.locator))
        self.webelement = element
        return None
<|end_body_1|>

<|body_start_2|>
        element = WebDriverWait(self.driver, 10).until(EC.element_to_be_clickable(locator=self.locator))
        self.webelement = element
        self.webelement.click()
        return None
<|end_body_2|>

<|body_start_3|>
        element = WebDriverWait(self.driver, 10).until(EC.visibility_of_element_located(locator=self.locator))
        self.webelement = element
        return bool(self.webelement)
<|end_body_3|>

<|body_start_4|>
        element = WebDriverWait(self.driver, 10).until(EC.visibility_of_element_located(locator=self.locator))
        self.webelement = element
        return self.webelement.isEnabled()
<|end_body_4|>

<|body_start_5|>
        element = WebDriverWait(self.driver, 10).until(EC.visibility_of_element_located(locator=self.locator))
        self.webelement = element
        self.webelement.send_keys(text)
        return None
<|end_body_5|>

Solution:
class BaseElement:
    """This represents the element"""

    def __init__(self, driver, by, value):
        """This initializes the values :param driver: arg1 and webdriver :param by: arg2 and the by element :param value: arg3 and the value"""
        self.driver = driver
        self.by = by
        self.value = value
        self.locator = (self.by, self.value)
        self.webelement = None

    def find(self):
        """This is used to find the element :return:"""
        element = WebDriverWait(self.driver, 10).until(EC.visibility_of_element_located(locator=self.locator))
        self.webelement = element
        return None

    def click(self):
        """This is used to click the element :return:"""
        element = WebDriverWait(self.driver, 10).until(EC.element_to_be_clickable(locator=self.locator))
        self.webelement = element
        self.webelement.click()
        return None

    def is_visible(self):
        """This is check whether element is visible :return: returns the boolean value"""
        element = WebDriverWait(self.driver, 10).until(EC.visibility_of_element_located(locator=self.locator))
        self.webelement = element
        return bool(self.webelement)

    def is_enabled(self):
        """This is used to check whether element is enabled :return: returns the boolean value"""
        element = WebDriverWait(self.driver, 10).until(EC.visibility_of_element_located(locator=self.locator))
        self.webelement = element
        return self.webelement.isEnabled()

    def enter_text(self, text):
        """This is used to enter the text :param text: arg1 and text to enter into the element :return: nothing"""
        element = WebDriverWait(self.driver, 10).until(EC.visibility_of_element_located(locator=self.locator))
        self.webelement = element
        self.webelement.send_keys(text)
        return None


revert

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

Class description:
Task to update amphora with all specified listeners' configurations.

Method signatures and docstrings:
- def execute(self, loadbalancer, listeners, vthunder): Execute updates per listener for an amphora.
- def revert(self, loadbalancer, *args, **kwargs): Handle failed listeners updates.

Implement the Python class `ListenersUpdate` described below.

Class description:
Task to update amphora with all specified listeners' configurations.

Method signatures and docstrings:
- def execute(self, loadbalancer, listeners, vthunder): Execute updates per listener for an amphora.
- def revert(self, loadbalancer, *args, **kwargs): Handle failed listeners updates.

<|skeleton|>
class ListenersUpdate:
    """Task to update amphora with all specified listeners' configurations."""

    def execute(self, loadbalancer, listeners, vthunder):
        """Execute updates per listener for an amphora."""
        <|body_0|>

    def revert(self, loadbalancer, *args, **kwargs):
        """Handle failed listeners updates."""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        for listener in listeners:
            listener.load_balancer = loadbalancer
            try:
                c = self.client_factory(vthunder)
                name = loadbalancer.id + '_' + str(listener.protocol_port)
                if listener.protocol == 'TERMINATED_HTTPS':
                    listener.protocol = 'HTTPS'
                out = c.slb.virtual_server.vport.update(loadbalancer.id, name, listener.protocol, listener.protocol_port, listener.default_pool_id)
                LOG.info('Listener created successfully.')
            except Exception as e:
                print(str(e))
                LOG.info('Error occurred')
<|end_body_0|>

<|body_start_1|>
        LOG.warning('Reverting listeners updates.')
        for listener in loadbalancer.listeners:
            self.task_utils.mark_listener_prov_status_error(listener.id)
        return None
<|end_body_1|>

Solution:
class ListenersUpdate:
    """Task to update amphora with all specified listeners' configurations."""

    def execute(self, loadbalancer, listeners, vthunder):
        """Execute updates per listener for an amphora."""
        for listener in listeners:
            listener.load_balancer = loadbalancer
            try:
                c = self.client_factory(vthunder)
                name = loadbalancer.id + '_' + str(listener.protocol_port)
                if listener.protocol == 'TERMINATED_HTTPS':
                    listener.protocol = 'HTTPS'
                out = c.slb.virtual_server.vport.update(loadbalancer.id, name, listener.protocol, listener.protocol_port, listener.default_pool_id)
                LOG.info('Listener created successfully.')
            except Exception as e:
                print(str(e))
                LOG.info('Error occurred')

    def revert(self, loadbalancer, *args, **kwargs):
        """Handle failed listeners updates."""
        LOG.warning('Reverting listeners updates.')
        for listener in loadbalancer.listeners:
            self.task_utils.mark_listener_prov_status_error(listener.id)
        return None


post

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

Class description:
Implement the Freigaben class.

Method signatures and docstrings:
- def post(self): Freigabeliste wird in die Datenbank hinzugefügt
- def put(self): Freigabe bearbeiten
- def get(self): Freigabe anzeigen

Implement the Python class `Freigaben` described below.

Class description:
Implement the Freigaben class.

Method signatures and docstrings:
- def post(self): Freigabeliste wird in die Datenbank hinzugefügt
- def put(self): Freigabe bearbeiten
- def get(self): Freigabe anzeigen

<|skeleton|>
class Freigaben:

    def post(self):
        """Freigabeliste wird in die Datenbank hinzugefügt"""
        <|body_0|>

    def put(self):
        """Freigabe bearbeiten"""
        <|body_1|>

    def get(self):
        """Freigabe anzeigen"""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        freigabe_info = request.json
        inserted_freigaben = []
        for freigabe in freigabe_info:
            inserted_freigabe = Freigabe.create(freigabe_dict=freigabe)
            inserted_freigaben.append(inserted_freigabe)
        return inserted_freigaben
<|end_body_0|>

<|body_start_1|>
        freigabe_info = request.json
        freigabe_info['last_updated'] = datetime.utcnow()
        freigabe = Freigabe.find_by_id(freigabe_info['id'])
        if freigabe is None:
            abort(400, message='error.freigabe_bearbeiten')
        freigabe.update(data=freigabe_info)
        return freigabe
<|end_body_1|>

<|body_start_2|>
        query = query_freigabe_parser.parse_args()
        clean_query = {k: v for k, v in query.items() if v is not None}
        db_query = db.session.query(Freigabe)
        for key in clean_query:
            db_query = db_query.filter(getattr(Freigabe, key) == clean_query[key])
        results = db_query.all()
        return results
<|end_body_2|>

Solution:
class Freigaben:
    def post(self):
        """Freigabeliste wird in die Datenbank hinzugefügt"""
        freigabe_info = request.json
        inserted_freigaben = []
        for freigabe in freigabe_info:
            inserted_freigabe = Freigabe.create(freigabe_dict=freigabe)
            inserted_freigaben.append(inserted_freigabe)
        return inserted_freigaben

    def put(self):
        """Freigabe bearbeiten"""
        freigabe_info = request.json
        freigabe_info['last_updated'] = datetime.utcnow()
        freigabe = Freigabe.find_by_id(freigabe_info['id'])
        if freigabe is None:
            abort(400, message='error.freigabe_bearbeiten')
        freigabe.update(data=freigabe_info)
        return freigabe

    def get(self):
        """Freigabe anzeigen"""
        query = query_freigabe_parser.parse_args()
        clean_query = {k: v for k, v in query.items() if v is not None}
        db_query = db.session.query(Freigabe)
        for key in clean_query:
            db_query = db_query.filter(getattr(Freigabe, key) == clean_query[key])
        results = db_query.all()
        return results


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

Class description:
Darknet body class

Method signatures and docstrings:
- def __init__(self, in_ch, filters=32, batch_norm=True): Constructor
- def forward(self, x): Foward method

Implement the Python class `Darknet` described below.

Class description:
Darknet body class

Method signatures and docstrings:
- def __init__(self, in_ch, filters=32, batch_norm=True): Constructor
- def forward(self, x): Foward method

<|skeleton|>
class Darknet:
    """Darknet body class"""

    def __init__(self, in_ch, filters=32, batch_norm=True):
        """Constructor"""
        <|body_0|>

    def forward(self, x):
        """Foward method"""
        <|body_1|>

<|end_skeleton|>

<|body_start_0|>
        super(Darknet, self).__init__()
        self.in_channels = in_ch
        self.batch_norm = batch_norm
        self.filters = filters
        self.stride_out_1 = 32
        self.stride_out_2 = 16
        self.stride_out_3 = 8
        index = 0
        self.first_index = 0
        self.conv0 = DarknetConvBlock(self.in_channels, self.filters, kernel_size=3, stride=1, padding=1, batch_norm=self.batch_norm, index=index)
        index += 1
        self.conv1 = DarknetBlock(self.filters, self.filters * 2, batch_norm=self.batch_norm, rep=1, index=index)
        index = self.conv1.index_out + 1
        self.conv2 = DarknetBlock(self.filters * 2, self.filters * 4, batch_norm=self.batch_norm, rep=2, index=index)
        index = self.conv2.index_out + 1
        self.conv3 = DarknetBlock(self.filters * 4, self.filters * 8, batch_norm=self.batch_norm, rep=8, index=index)
        index = self.conv3.index_out + 1
        self.conv4 = DarknetBlock(self.filters * 8, self.filters * 16, batch_norm=self.batch_norm, rep=8, index=index)
        index = self.conv4.index_out + 1
        self.conv5 = DarknetBlock(self.filters * 16, self.filters * 32, batch_norm=self.batch_norm, rep=4, index=index)
        index = self.conv5.index_out + 1
        self.conv_low = DarknetLoopBlock(self.filters * 32, self.filters * 16, batch_norm=self.batch_norm, rep=5, index=index)
        index = self.conv_low.index_out + 1
        self.conv_up1 = DarknetUpsampling(self.filters * 16, self.filters * 8, res_ch=self.filters * 16, batch_norm=self.batch_norm, rep=5, index=index)
        index = self.conv_up1.index_out + 1
        self.conv_up2 = DarknetUpsampling(self.filters * 8, self.filters * 4, res_ch=self.filters * 8, batch_norm=self.batch_norm, rep=5, index=index)
        index = self.conv_up2.index_out + 1
        self.last_index = index
<|end_body_0|>

<|body_start_1|>
        x0 = self.conv0(x)
        x1 = self.conv1(x0)
        x2 = self.conv2(x1)
        x3 = self.conv3(x2)
        x4 = self.conv4(x3)
        x5 = self.conv5(x4)
        x_out1 = self.conv_low(x5)
        x_out2 = self.conv_up1(x_out1, x_res=x4)
        x_out3 = self.conv_up2(x_out2, x_res=x3)
        return (x_out1, x_out2, x_out3)
<|end_body_1|>

Solution:
class Darknet:
    """Darknet body class"""

    def __init__(self, in_ch, filters=32, batch_norm=True):
        """Constructor"""
        super(Darknet, self).__init__()
        self.in_channels = in_ch
        self.batch_norm = batch_norm
        self.filters = filters
        self.stride_out_1 = 32
        self.stride_out_2 = 16
        self.stride_out_3 = 8
        index = 0
        self.first_index = 0
        self.conv0 = DarknetConvBlock(self.in_channels, self.filters, kernel_size=3, stride=1, padding=1, batch_norm=self.batch_norm, index=index)
        index += 1
        self.conv1 = DarknetBlock(self.filters, self.filters * 2, batch_norm=self.batch_norm, rep=1, index=index)
        index = self.conv1.index_out + 1
        self.conv2 = DarknetBlock(self.filters * 2, self.filters * 4, batch_norm=self.batch_norm, rep=2, index=index)
        index = self.conv2.index_out + 1
        self.conv3 = DarknetBlock(self.filters * 4, self.filters * 8, batch_norm=self.batch_norm, rep=8, index=index)
        index = self.conv3.index_out + 1
        self.conv4 = DarknetBlock(self.filters * 8, self.filters * 16, batch_norm=self.batch_norm, rep=8, index=index)
        index = self.conv4.index_out + 1
        self.conv5 = DarknetBlock(self.filters * 16, self.filters * 32, batch_norm=self.batch_norm, rep=4, index=index)
        index = self.conv5.index_out + 1
        self.conv_low = DarknetLoopBlock(self.filters * 32, self.filters * 16, batch_norm=self.batch_norm, rep=5, index=index)
        index = self.conv_low.index_out + 1
        self.conv_up1 = DarknetUpsampling(self.filters * 16, self.filters * 8, res_ch=self.filters * 16, batch_norm=self.batch_norm, rep=5, index=index)
        index = self.conv_up1.index_out + 1
        self.conv_up2 = DarknetUpsampling(self.filters * 8, self.filters * 4, res_ch=self.filters * 8, batch_norm=self.batch_norm, rep=5, index=index)
        index = self.conv_up2.index_out + 1
        self.last_index = index

    def forward(self, x):
        """Foward method"""
        x0 = self.conv0(x)
        x1 = self.conv1(x0)
        x2 = self.conv2(x1)
        x3 = self.conv3(x2)
        x4 = self.conv4(x3)
        x5 = self.conv5(x4)
        x_out1 = self.conv_low(x5)
        x_out2 = self.conv_up1(x_out1, x_res=x4)
        x_out3 = self.conv_up2(x_out2, x_res=x3)
        return (x_out1, x_out2, x_out3)


Prompt:
Implement the Python class `PIL3D` described below.

Class description:
Class representing a PILAGER3D output file.

Method signatures and docstrings:
- def __init__(self, name): Method to initialize class.
- def readpil3d(self): Method to read in the pil3d txt file.
- def make_point_cloud(self): Method to plot the point cloud.

Implement the Python class `PIL3D` described below.

Class description:
Class representing a PILAGER3D output file.

Method signatures and docstrings:
- def __init__(self, name): Method to initialize class.
- def readpil3d(self): Method to read in the pil3d txt file.
- def make_point_cloud(self): Method to plot the point cloud.

<|skeleton|>
class PIL3D:
    """Class representing a PILAGER3D output file."""

    def __init__(self, name):
        """Method to initialize class."""
        <|body_0|>

    def readpil3d(self):
        """Method to read in the pil3d txt file."""
        <|body_1|>

    def make_point_cloud(self):
        """Method to plot the point cloud."""
        <|body_2|>

<|end_skeleton|>

<|body_start_0|>
        self.name = name
        self.pos = []
        self.Pn = []
        self.flux = []
        self.pointCloud = []
        self.readpil3d()
<|end_body_0|>

<|body_start_1|>
        res = np.loadtxt(self.name, delimiter=' ')
        self.pos = res[:, 0:3]
        self.Pn = res[:, 3:4]
        self.flux = res[:, -1]
<|end_body_1|>

<|body_start_2|>
        self.pointCloud = VtkPointCloud()
        for k in range(np.size(self.pos, 0)):
            self.pointCloud.addPoint(self.pos[k, :])
        renderer = vtk.vtkRenderer()
        renderer.AddActor(self.pointCloud.vtkActor)
        renderer.SetBackground(0.2, 0.3, 0.4)
        renderer.SetBackground(0.0, 0.0, 0.0)
        renderer.ResetCamera()
        renderWindow = vtk.vtkRenderWindow()
        renderWindow.AddRenderer(renderer)
        renderWindowInteractor = vtk.vtkRenderWindowInteractor()
        renderWindowInteractor.SetRenderWindow(renderWindow)
        renderWindow.Render()
        renderWindow.SetWindowName('XYZ Data Viewer: ')
        renderWindowInteractor.Start()
<|end_body_2|>

Solution:
class PIL3D:
    """Class representing a PILAGER3D output file."""

    def __init__(self, name):
        """Method to initialize class."""
        self.name = name
        self.pos = []
        self.Pn = []
        self.flux = []
        self.pointCloud = []
        self.readpil3d()

    def readpil3d(self):
        """Method to read in the pil3d txt file."""
        res = np.loadtxt(self.name, delimiter=' ')
        self.pos = res[:, 0:3]
        self.Pn = res[:, 3:4]
        self.flux = res[:, -1]

    def make_point_cloud(self):
        """Method to plot the point cloud."""
        self.pointCloud = VtkPointCloud()
        for k in range(np.size(self.pos, 0)):
            self.pointCloud.addPoint(self.pos[k, :])
        renderer = vtk.vtkRenderer()
        renderer.AddActor(self.pointCloud.vtkActor)
        renderer.SetBackground(0.2, 0.3, 0.4)
        renderer.SetBackground(0.0, 0.0, 0.0)
        renderer.ResetCamera()
        renderWindow = vtk.vtkRenderWindow()
        renderWindow.AddRenderer(renderer)
        renderWindowInteractor = vtk.vtkRenderWindowInteractor()
        renderWindowInteractor.SetRenderWindow(renderWindow)
        renderWindow.Render()
        renderWindow.SetWindowName('XYZ Data Viewer: ')
        renderWindowInteractor.Start()