import argparse
import functools
import json
import operator
import os
from collections.abc import MutableMapping
from dataclasses import MISSING as _MISSING
from dataclasses import Field, asdict, dataclass, fields, is_dataclass, replace
from pathlib import Path
from pprint import pprint
from typing import Any, Dict, Generic, List, Optional, Type, TypeVar, Union, get_type_hints

T = TypeVar("T")
MISSING: Any = "???"


class _NoDefault(Generic[T]):
    pass


NoDefaultVar = Union[_NoDefault[T], T]
no_default: NoDefaultVar = _NoDefault()


def is_primitive_type(arg_type: Any) -> bool:
    """Check if the input type is one of `int, float, str, bool`.

    Args:
        arg_type (typing.Any): input type to check.

    Returns:
        bool: True if input type is one of `int, float, str, bool`.
    """
    try:
        return isinstance(arg_type(), (int, float, str, bool))
    except (AttributeError, TypeError):
        return False


def is_list(arg_type: Any) -> bool:
    """Check if the input type is `list`

    Args:
        arg_type (typing.Any): input type.

    Returns:
        bool: True if input type is `list`
    """
    try:
        return arg_type is list or arg_type is List or arg_type.__origin__ is list or arg_type.__origin__ is List
    except AttributeError:
        return False


def is_dict(arg_type: Any) -> bool:
    """Check if the input type is `dict`

    Args:
        arg_type (typing.Any): input type.

    Returns:
        bool: True if input type is `dict`
    """
    try:
        return arg_type is dict or arg_type is Dict or arg_type.__origin__ is dict
    except AttributeError:
        return False


def is_union(arg_type: Any) -> bool:
    """Check if the input type is `Union`.

    Args:
        arg_type (typing.Any): input type.

    Returns:
        bool: True if input type is `Union`
    """
    try:
        return safe_issubclass(arg_type.__origin__, Union)
    except AttributeError:
        return False


def safe_issubclass(cls, classinfo) -> bool:
    """Check if the input type is a subclass of the given class.

    Args:
        cls (type): input type.
        classinfo (type): parent class.

    Returns:
        bool: True if the input type is a subclass of the given class
    """
    try:
        r = issubclass(cls, classinfo)
    except Exception:  # pylint: disable=broad-except
        return cls is classinfo
    else:
        return r


def _coqpit_json_default(obj: Any) -> Any:
    if isinstance(obj, Path):
        return str(obj)
    raise TypeError(f"Can't encode object of type {type(obj).__name__}")


def _default_value(x: Field):
    """Return the default value of the input Field.

    Args:
        x (Field): input Field.

    Returns:
        object: default value of the input Field.
    """
    if x.default not in (MISSING, _MISSING):
        return x.default
    if x.default_factory not in (MISSING, _MISSING):
        return x.default_factory()
    return x.default


def _is_optional_field(field) -> bool:
    """Check if the input field is optional.

    Args:
        field (Field): input Field to check.

    Returns:
        bool: True if the input field is optional.
    """
    # return isinstance(field.type, _GenericAlias) and type(None) in getattr(field.type, "__args__")
    return type(None) in getattr(field.type, "__args__")


def my_get_type_hints(
    cls,
):
    """Custom `get_type_hints` dealing with https://github.com/python/typing/issues/737

    Returns:
        [dataclass]: dataclass to get the type hints of its fields.
    """
    r_dict = {}
    for base in cls.__class__.__bases__:
        if base == object:
            break
        r_dict.update(my_get_type_hints(base))
    r_dict.update(get_type_hints(cls))
    return r_dict


def _serialize(x):
    """Pick the right serialization for the datatype of the given input.

    Args:
        x (object): input object.

    Returns:
        object: serialized object.
    """
    if isinstance(x, Path):
        return str(x)
    if isinstance(x, dict):
        return {k: _serialize(v) for k, v in x.items()}
    if isinstance(x, list):
        return [_serialize(xi) for xi in x]
    if isinstance(x, Serializable) or issubclass(type(x), Serializable):
        return x.serialize()
    if isinstance(x, type) and issubclass(x, Serializable):
        return x.serialize(x)
    return x


def _deserialize_dict(x: Dict) -> Dict:
    """Deserialize dict.

    Args:
        x (Dict): value to deserialized.

    Returns:
        Dict: deserialized dictionary.
    """
    out_dict = {}
    for k, v in x.items():
        if v is None:  # if {'key':None}
            out_dict[k] = None
        else:
            out_dict[k] = _deserialize(v, type(v))
    return out_dict


def _deserialize_list(x: List, field_type: Type) -> List:
    """Deserialize values for List typed fields.

    Args:
        x (List): value to be deserialized
        field_type (Type): field type.

    Raises:
        ValueError: Coqpit does not support multi type-hinted lists.

    Returns:
        [List]: deserialized list.
    """
    field_args = None
    if hasattr(field_type, "__args__") and field_type.__args__:
        field_args = field_type.__args__
    elif hasattr(field_type, "__parameters__") and field_type.__parameters__:
        # bandaid for python 3.6
        field_args = field_type.__parameters__
    if field_args:
        if len(field_args) > 1:
            raise ValueError(" [!] Coqpit does not support multi-type hinted 'List'")
        field_arg = field_args[0]
        # if field type is TypeVar set the current type by the value's type.
        if isinstance(field_arg, TypeVar):
            field_arg = type(x)
        return [_deserialize(xi, field_arg) for xi in x]
    return x


def _deserialize_union(x: Any, field_type: Type) -> Any:
    """Deserialize values for Union typed fields

    Args:
        x (Any): value to be deserialized.
        field_type (Type): field type.

    Returns:
        [Any]: desrialized value.
    """
    for arg in field_type.__args__:
        # stop after first matching type in Union
        try:
            x = _deserialize(x, arg)
            break
        except ValueError:
            pass
    return x


def _deserialize_primitive_types(x: Union[int, float, str, bool], field_type: Type) -> Union[int, float, str, bool]:
    """Deserialize python primitive types (float, int, str, bool).
    It handles `inf` values exclusively and keeps them float against int fields since int does not support inf values.

    Args:
        x (Union[int, float, str, bool]): value to be deserialized.
        field_type (Type): field type.

    Returns:
        Union[int, float, str, bool]: deserialized value.
    """

    if isinstance(x, (str, bool)):
        return x
    if isinstance(x, (int, float)):
        if x == float("inf") or x == float("-inf"):
            # if value type is inf return regardless.
            return x
        x = field_type(x)
        return x
    # TODO: Raise an error when x does not match the types.
    return None


def _deserialize(x: Any, field_type: Any) -> Any:
    """Pick the right desrialization for the given object and the corresponding field type.

    Args:
        x (object): object to be deserialized.
        field_type (type): expected type after deserialization.

    Returns:
        object: deserialized object

    """
    # pylint: disable=too-many-return-statements
    if is_dict(field_type):
        return _deserialize_dict(x)
    if is_list(field_type):
        return _deserialize_list(x, field_type)
    if is_union(field_type):
        return _deserialize_union(x, field_type)
    if issubclass(field_type, Serializable):
        return field_type.deserialize_immutable(x)
    if is_primitive_type(field_type):
        return _deserialize_primitive_types(x, field_type)
    raise ValueError(f" [!] '{type(x)}' value type of '{x}' does not match '{field_type}' field type.")


# Recursive setattr (supports dotted attr names)
def rsetattr(obj, attr, val):
    def _setitem(obj, attr, val):
        return operator.setitem(obj, int(attr), val)

    pre, _, post = attr.rpartition(".")
    setfunc = _setitem if post.isnumeric() else setattr

    return setfunc(rgetattr(obj, pre) if pre else obj, post, val)


# Recursive getattr (supports dotted attr names)
def rgetattr(obj, attr, *args):
    def _getitem(obj, attr):
        return operator.getitem(obj, int(attr), *args)

    def _getattr(obj, attr):
        getfunc = _getitem if attr.isnumeric() else getattr
        return getfunc(obj, attr, *args)

    return functools.reduce(_getattr, [obj] + attr.split("."))


# Recursive setitem (supports dotted attr names)
def rsetitem(obj, attr, val):
    pre, _, post = attr.rpartition(".")
    return operator.setitem(rgetitem(obj, pre) if pre else obj, post, val)


# Recursive getitem (supports dotted attr names)
def rgetitem(obj, attr, *args):
    def _getitem(obj, attr):
        return operator.getitem(obj, int(attr) if attr.isnumeric() else attr, *args)

    return functools.reduce(_getitem, [obj] + attr.split("."))


@dataclass
class Serializable:
    """Gives serialization ability to any inheriting dataclass."""

    def __post_init__(self):
        self._validate_contracts()
        for key, value in self.__dict__.items():
            if value is no_default:
                raise TypeError(f"__init__ missing 1 required argument: '{key}'")

    def _validate_contracts(self):
        dataclass_fields = fields(self)

        for field in dataclass_fields:

            value = getattr(self, field.name)

            if value is None:
                if not _is_optional_field(field):
                    raise TypeError(f"{field.name} is not optional")

            contract = field.metadata.get("contract", None)

            if contract is not None:
                if value is not None and not contract(value):
                    raise ValueError(f"break the contract for {field.name}, {self.__class__.__name__}")

    def validate(self):
        """validate if object can serialize / deserialize correctly."""
        self._validate_contracts()
        if self != self.__class__.deserialize(  # pylint: disable=no-value-for-parameter
            json.loads(json.dumps(self.serialize()))
        ):
            raise ValueError("could not be deserialized with same value")

    def to_dict(self) -> dict:
        """Transform serializable object to dict."""
        cls_fields = fields(self)
        o = {}
        for cls_field in cls_fields:
            o[cls_field.name] = getattr(self, cls_field.name)
        return o

    def serialize(self) -> dict:
        """Serialize object to be json serializable representation."""
        if not is_dataclass(self):
            raise TypeError("need to be decorated as dataclass")

        dataclass_fields = fields(self)

        o = {}

        for field in dataclass_fields:
            value = getattr(self, field.name)
            value = _serialize(value)
            o[field.name] = value
        return o

    def deserialize(self, data: dict) -> "Serializable":
        """Parse input dictionary and desrialize its fields to a dataclass.

        Returns:
            self: deserialized `self`.
        """
        if not isinstance(data, dict):
            raise ValueError()
        data = data.copy()
        init_kwargs = {}
        for field in fields(self):
            # if field.name == 'dataset_config':
            if field.name not in data:
                if field.name in vars(self):
                    init_kwargs[field.name] = vars(self)[field.name]
                    continue
                raise ValueError(f' [!] Missing required field "{field.name}"')
            value = data.get(field.name, _default_value(field))
            if value is None:
                init_kwargs[field.name] = value
                continue
            if value == MISSING:
                raise ValueError(f"deserialized with unknown value for {field.name} in {self.__name__}")
            value = _deserialize(value, field.type)
            init_kwargs[field.name] = value
        for k, v in init_kwargs.items():
            setattr(self, k, v)
        return self

    @classmethod
    def deserialize_immutable(cls, data: dict) -> "Serializable":
        """Parse input dictionary and desrialize its fields to a dataclass.

        Returns:
            Newly created deserialized object.
        """
        if not isinstance(data, dict):
            raise ValueError()
        data = data.copy()
        init_kwargs = {}
        for field in fields(cls):
            # if field.name == 'dataset_config':
            if field.name not in data:
                if field.name in vars(cls):
                    init_kwargs[field.name] = vars(cls)[field.name]
                    continue
                # if not in cls and the default value is not Missing use it
                default_value = _default_value(field)
                if default_value not in (MISSING, _MISSING):
                    init_kwargs[field.name] = default_value
                    continue
                raise ValueError(f' [!] Missing required field "{field.name}"')
            value = data.get(field.name, _default_value(field))
            if value is None:
                init_kwargs[field.name] = value
                continue
            if value == MISSING:
                raise ValueError(f"Deserialized with unknown value for {field.name} in {cls.__name__}")
            value = _deserialize(value, field.type)
            init_kwargs[field.name] = value
        return cls(**init_kwargs)


# ---------------------------------------------------------------------------- #
#                        Argument Parsing from `argparse`                      #
# ---------------------------------------------------------------------------- #


def _get_help(field):
    try:
        field_help = field.metadata["help"]
    except KeyError:
        field_help = ""
    return field_help


def _init_argparse(
    parser,
    field_name,
    field_type,
    field_default,
    field_default_factory,
    field_help,
    arg_prefix="",
    help_prefix="",
    relaxed_parser=False,
):
    has_default = False
    default = None
    if field_default:
        has_default = True
        default = field_default
    elif field_default_factory not in (None, _MISSING):
        has_default = True
        default = field_default_factory()

    if not has_default and not is_primitive_type(field_type) and not is_list(field_type):
        # aggregate types (fields with a Coqpit subclass as type) are not supported without None
        return parser
    arg_prefix = field_name if arg_prefix == "" else f"{arg_prefix}.{field_name}"
    help_prefix = field_help if help_prefix == "" else f"{help_prefix} - {field_help}"
    if is_dict(field_type):  # pylint: disable=no-else-raise
        # NOTE: accept any string in json format as input to dict field.
        parser.add_argument(
            f"--{arg_prefix}",
            dest=arg_prefix,
            default=json.dumps(field_default) if field_default else None,
            type=json.loads,
        )
    elif is_list(field_type):
        # TODO: We need a more clear help msg for lists.
        if hasattr(field_type, "__args__"):  # if the list is hinted
            if len(field_type.__args__) > 1 and not relaxed_parser:
                raise ValueError(" [!] Coqpit does not support multi-type hinted 'List'")
            list_field_type = field_type.__args__[0]
        else:
            raise ValueError(" [!] Coqpit does not support un-hinted 'List'")

        # TODO: handle list of lists
        if is_list(list_field_type) and relaxed_parser:
            return parser

        if not has_default or field_default_factory is list:
            if not is_primitive_type(list_field_type) and not relaxed_parser:
                raise NotImplementedError(" [!] Empty list with non primitive inner type is currently not supported.")

            # If the list's default value is None, the user can specify the entire list by passing multiple parameters
            parser.add_argument(
                f"--{arg_prefix}",
                nargs="*",
                type=list_field_type,
                help=f"Coqpit Field: {help_prefix}",
            )
        else:
            # If a default value is defined, just enable editing the values from argparse
            # TODO: allow inserting a new value/obj to the end of the list.
            for idx, fv in enumerate(default):
                parser = _init_argparse(
                    parser,
                    str(idx),
                    list_field_type,
                    fv,
                    field_default_factory,
                    field_help="",
                    help_prefix=f"{help_prefix} - ",
                    arg_prefix=f"{arg_prefix}",
                    relaxed_parser=relaxed_parser,
                )
    elif is_union(field_type):
        # TODO: currently I don't know how to handle Union type on argparse
        if not relaxed_parser:
            raise NotImplementedError(
                " [!] Parsing `Union` field from argparse is not yet implemented. Please create an issue."
            )
    elif issubclass(field_type, Serializable):
        return default.init_argparse(
            parser, arg_prefix=arg_prefix, help_prefix=help_prefix, relaxed_parser=relaxed_parser
        )
    elif isinstance(field_type(), bool):

        def parse_bool(x):
            if x not in ("true", "false"):
                raise ValueError(f' [!] Value for boolean field must be either "true" or "false". Got "{x}".')
            return x == "true"

        parser.add_argument(
            f"--{arg_prefix}",
            type=parse_bool,
            default=field_default,
            help=f"Coqpit Field: {help_prefix}",
            metavar="true/false",
        )
    elif is_primitive_type(field_type):
        parser.add_argument(
            f"--{arg_prefix}",
            default=field_default,
            type=field_type,
            help=f"Coqpit Field: {help_prefix}",
        )
    else:
        if not relaxed_parser:
            raise NotImplementedError(f" [!] '{field_type}' is not supported by arg_parser. Please file a bug report.")
    return parser


# ---------------------------------------------------------------------------- #
#                               Main Coqpit Class                              #
# ---------------------------------------------------------------------------- #


@dataclass
class Coqpit(Serializable, MutableMapping):
    """Coqpit base class to be inherited by any Coqpit dataclasses.
    It overrides Python `dict` interface and provides `dict` compatible API.
    It also enables serializing/deserializing a dataclass to/from a json file, plus some semi-dynamic type and value check.
    Note that it does not support all datatypes and likely to fail in some cases.
    """

    _initialized = False

    def _is_initialized(self):
        """Check if Coqpit is initialized. Useful to prevent running some aux functions
        at the initialization when no attribute has been defined."""
        return "_initialized" in vars(self) and self._initialized

    def __post_init__(self):
        self._initialized = True
        try:
            self.check_values()
        except AttributeError:
            pass

    ## `dict` API functions

    def __iter__(self):
        return iter(asdict(self))

    def __len__(self):
        return len(fields(self))

    def __setitem__(self, arg: str, value: Any):
        setattr(self, arg, value)

    def __getitem__(self, arg: str):
        """Access class attributes with ``[arg]``."""
        return self.__dict__[arg]

    def __delitem__(self, arg: str):
        delattr(self, arg)

    def _keytransform(self, key):  # pylint: disable=no-self-use
        return key

    ## end `dict` API functions

    def __getattribute__(self, arg: str):  # pylint: disable=no-self-use
        """Check if the mandatory field is defined when accessing it."""
        value = super().__getattribute__(arg)
        if isinstance(value, str) and value == "???":
            raise AttributeError(f" [!] MISSING field {arg} must be defined.")
        return value

    def __contains__(self, arg: str):
        return arg in self.to_dict()

    def get(self, key: str, default: Any = None):
        if self.has(key):
            return asdict(self)[key]
        return default

    def items(self):
        return asdict(self).items()

    def merge(self, coqpits: Union["Coqpit", List["Coqpit"]]):
        """Merge a coqpit instance or a list of coqpit instances to self.
        Note that it does not pass the fields and overrides attributes with
        the last Coqpit instance in the given List.
        TODO: find a way to merge instances with all the class internals.

        Args:
            coqpits (Union[Coqpit, List[Coqpit]]): coqpit instance or list of instances to be merged.
        """

        def _merge(coqpit):
            self.__dict__.update(coqpit.__dict__)
            self.__annotations__.update(coqpit.__annotations__)
            self.__dataclass_fields__.update(coqpit.__dataclass_fields__)

        if isinstance(coqpits, list):
            for coqpit in coqpits:
                _merge(coqpit)
        else:
            _merge(coqpits)

    def check_values(self):
        pass

    def has(self, arg: str) -> bool:
        return arg in vars(self)

    def copy(self):
        return replace(self)

    def update(self, new: dict, allow_new=False) -> None:
        """Update Coqpit fields by the input ```dict```.

        Args:
            new (dict): dictionary with new values.
            allow_new (bool, optional): allow new fields to add. Defaults to False.
        """
        for key, value in new.items():
            if allow_new:
                setattr(self, key, value)
            else:
                if hasattr(self, key):
                    setattr(self, key, value)
                else:
                    raise KeyError(f" [!] No key - {key}")

    def pprint(self) -> None:
        """Print Coqpit fields in a format."""
        pprint(asdict(self))

    def to_dict(self) -> dict:
        # return asdict(self)
        return self.serialize()

    def from_dict(self, data: dict) -> None:
        self = self.deserialize(data)  # pylint: disable=self-cls-assignment

    @classmethod
    def new_from_dict(cls: Serializable, data: dict) -> "Coqpit":
        return cls.deserialize_immutable(data)

    def to_json(self) -> str:
        """Returns a JSON string representation."""
        return json.dumps(asdict(self), indent=4, default=_coqpit_json_default)

    def save_json(self, file_name: str) -> None:
        """Save Coqpit to a json file.

        Args:
            file_name (str): path to the output json file.
        """
        with open(file_name, "w", encoding="utf8") as f:
            json.dump(asdict(self), f, indent=4)

    def load_json(self, file_name: str) -> None:
        """Load a json file and update matching config fields with type checking.
        Non-matching parameters in the json file are ignored.

        Args:
            file_name (str): path to the json file.

        Returns:
            Coqpit: new Coqpit with updated config fields.
        """
        with open(file_name, "r", encoding="utf8") as f:
            input_str = f.read()
            dump_dict = json.loads(input_str)
        # TODO: this looks stupid 💆
        self = self.deserialize(dump_dict)  # pylint: disable=self-cls-assignment
        self.check_values()

    @classmethod
    def init_from_argparse(
        cls, args: Optional[Union[argparse.Namespace, List[str]]] = None, arg_prefix: str = "coqpit"
    ) -> "Coqpit":
        """Create a new Coqpit instance from argparse input.

        Args:
            args (namespace or list of str, optional): parsed argparse.Namespace or list of command line parameters. If unspecified will use a newly created parser with ```init_argparse()```.
            arg_prefix: prefix to add to CLI parameters. Gets forwarded to ```init_argparse``` when ```args``` is not passed.
        """
        if not args:
            # If args was not specified, parse from sys.argv
            parser = cls.init_argparse(cls, arg_prefix=arg_prefix)
            args = parser.parse_args()  # pylint: disable=E1120, E1111
        if isinstance(args, list):
            # If a list was passed in (eg. the second result of `parse_known_args`, run that through argparse first to get a parsed Namespace
            parser = cls.init_argparse(cls, arg_prefix=arg_prefix)
            args = parser.parse_args(args)  # pylint: disable=E1120, E1111

        # Handle list and object attributes with defaults, which can be modified
        # directly (eg. --coqpit.list.0.val_a 1), by constructing real objects
        # from defaults and passing those to `cls.__init__`
        args_with_lists_processed = {}
        class_fields = fields(cls)
        for field in class_fields:
            has_default = False
            default = None
            field_default = field.default if field.default is not _MISSING else None
            field_default_factory = field.default_factory if field.default_factory is not _MISSING else None
            if field_default:
                has_default = True
                default = field_default
            elif field_default_factory:
                has_default = True
                default = field_default_factory()

            if has_default and (not is_primitive_type(field.type) or is_list(field.type)):
                args_with_lists_processed[field.name] = default

        args_dict = vars(args)
        for k, v in args_dict.items():
            # Remove argparse prefix (eg. "--coqpit." if present)
            if k.startswith(f"{arg_prefix}."):
                k = k[len(f"{arg_prefix}.") :]

            rsetitem(args_with_lists_processed, k, v)

        return cls(**args_with_lists_processed)

    def parse_args(
        self, args: Optional[Union[argparse.Namespace, List[str]]] = None, arg_prefix: str = "coqpit"
    ) -> None:
        """Update config values from argparse arguments with some meta-programming ✨.

        Args:
            args (namespace or list of str, optional): parsed argparse.Namespace or list of command line parameters. If unspecified will use a newly created parser with ```init_argparse()```.
            arg_prefix: prefix to add to CLI parameters. Gets forwarded to ```init_argparse``` when ```args``` is not passed.
        """
        if not args:
            # If args was not specified, parse from sys.argv
            parser = self.init_argparse(arg_prefix=arg_prefix)
            args = parser.parse_args()
        if isinstance(args, list):
            # If a list was passed in (eg. the second result of `parse_known_args`, run that through argparse first to get a parsed Namespace
            parser = self.init_argparse(arg_prefix=arg_prefix)
            args = parser.parse_args(args)

        args_dict = vars(args)

        for k, v in args_dict.items():
            if k.startswith(f"{arg_prefix}."):
                k = k[len(f"{arg_prefix}.") :]
            try:
                rgetattr(self, k)
            except (TypeError, AttributeError) as e:
                raise Exception(f" [!] '{k}' not exist to override from argparse.") from e

            rsetattr(self, k, v)

        self.check_values()

    def parse_known_args(
        self,
        args: Optional[Union[argparse.Namespace, List[str]]] = None,
        arg_prefix: str = "coqpit",
        relaxed_parser=False,
    ) -> List[str]:
        """Update config values from argparse arguments. Ignore unknown arguments.
           This is analog to argparse.ArgumentParser.parse_known_args (vs parse_args).

        Args:
            args (namespace or list of str, optional): parsed argparse.Namespace or list of command line parameters. If unspecified will use a newly created parser with ```init_argparse()```.
            arg_prefix: prefix to add to CLI parameters. Gets forwarded to ```init_argparse``` when ```args``` is not passed.
            relaxed_parser (bool, optional): If True, do not force all the fields to have compatible types with the argparser. Defaults to False.

        Returns:
            List of unknown parameters.
        """
        if not args:
            # If args was not specified, parse from sys.argv
            parser = self.init_argparse(arg_prefix=arg_prefix, relaxed_parser=relaxed_parser)
            args, unknown = parser.parse_known_args()
        if isinstance(args, list):
            # If a list was passed in (eg. the second result of `parse_known_args`, run that through argparse first to get a parsed Namespace
            parser = self.init_argparse(arg_prefix=arg_prefix, relaxed_parser=relaxed_parser)
            args, unknown = parser.parse_known_args(args)

        self.parse_args(args)
        return unknown

    def init_argparse(
        self,
        parser: Optional[argparse.ArgumentParser] = None,
        arg_prefix="coqpit",
        help_prefix="",
        relaxed_parser=False,
    ) -> argparse.ArgumentParser:
        """Pass Coqpit fields as argparse arguments. This allows to edit values through command-line.

        Args:
            parser (argparse.ArgumentParser, optional): argparse.ArgumentParser instance. If unspecified a new one will be created.
            arg_prefix (str, optional): Prefix to be used for the argument name. Defaults to 'coqpit'.
            help_prefix (str, optional): Prefix to be used for the argument description. Defaults to ''.
            relaxed_parser (bool, optional): If True, do not force all the fields to have compatible types with the argparser. Defaults to False.

        Returns:
            argparse.ArgumentParser: parser instance with the new arguments.
        """
        if not parser:
            parser = argparse.ArgumentParser()
        class_fields = fields(self)
        for field in class_fields:
            if field.name in vars(self):
                # use the current value of the field
                # prevent dropping the current value
                field_default = vars(self)[field.name]
            else:
                # use the default value of the field
                field_default = field.default if field.default is not _MISSING else None
            field_type = field.type
            field_default_factory = field.default_factory
            field_help = _get_help(field)
            _init_argparse(
                parser,
                field.name,
                field_type,
                field_default,
                field_default_factory,
                field_help,
                arg_prefix,
                help_prefix,
                relaxed_parser,
            )
        return parser


def check_argument(
    name,
    c,
    is_path: bool = False,
    prerequest: str = None,
    enum_list: list = None,
    max_val: float = None,
    min_val: float = None,
    restricted: bool = False,
    alternative: str = None,
    allow_none: bool = True,
) -> None:
    """Simple type and value checking for Coqpit.
    It is intended to be used under ```__post_init__()``` of config dataclasses.

    Args:
        name (str): name of the field to be checked.
        c (dict): config dictionary.
        is_path (bool, optional): if ```True``` check if the path is exist. Defaults to False.
        prerequest (list or str, optional): a list of field name that are prerequestedby the target field name.
            Defaults to ```[]```.
        enum_list (list, optional): list of possible values for the target field. Defaults to None.
        max_val (float, optional): maximum possible value for the target field. Defaults to None.
        min_val (float, optional): minimum possible value for the target field. Defaults to None.
        restricted (bool, optional): if ```True``` the target field has to be defined. Defaults to False.
        alternative (str, optional): a field name superceding the target field. Defaults to None.
        allow_none (bool, optional): if ```True``` allow the target field to be ```None```. Defaults to False.


    Example:
        >>> num_mels = 5
        >>> check_argument('num_mels', c, restricted=True, min_val=10, max_val=2056)
        >>> fft_size = 128
        >>> check_argument('fft_size', c, restricted=True, min_val=128, max_val=4058)
    """
    # check if None allowed
    if allow_none and c[name] is None:
        return
    if not allow_none:
