"""
    Argo Server API

    You can get examples of requests and responses by using the CLI with `--gloglevel=9`, e.g. `argo list --gloglevel=9`  # noqa: E501

    The version of the OpenAPI document: VERSION
    Generated by: https://openapi-generator.tech
"""


import re  # noqa: F401
import sys  # noqa: F401

from openapi_client.model_utils import (  # noqa: F401
    ApiTypeError,
    ModelComposed,
    ModelNormal,
    ModelSimple,
    cached_property,
    change_keys_js_to_python,
    convert_js_args_to_python_args,
    date,
    datetime,
    file_type,
    none_type,
    validate_get_composed_info,
)
from ..model_utils import OpenApiModel
from openapi_client.exceptions import ApiAttributeError


def lazy_import():
    from openapi_client.model.github_com_argoproj_labs_argo_dataflow_api_v1alpha1_abstract_step import GithubComArgoprojLabsArgoDataflowApiV1alpha1AbstractStep
    globals()['GithubComArgoprojLabsArgoDataflowApiV1alpha1AbstractStep'] = GithubComArgoprojLabsArgoDataflowApiV1alpha1AbstractStep


class GithubComArgoprojLabsArgoDataflowApiV1alpha1Dedupe(ModelNormal):
    """NOTE: This class is auto generated by OpenAPI Generator.
    Ref: https://openapi-generator.tech

    Do not edit the class manually.

    Attributes:
      allowed_values (dict): The key is the tuple path to the attribute
          and the for var_name this is (var_name,). The value is a dict
          with a capitalized key describing the allowed value and an allowed
          value. These dicts store the allowed enum values.
      attribute_map (dict): The key is attribute name
          and the value is json key in definition.
      discriminator_value_class_map (dict): A dict to go from the discriminator
          variable value to the discriminator class name.
      validations (dict): The key is the tuple path to the attribute
          and the for var_name this is (var_name,). The value is a dict
          that stores validations for max_length, min_length, max_items,
          min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum,
          inclusive_minimum, and regex.
      additional_properties_type (tuple): A tuple of classes accepted
          as additional properties values.
    """

    allowed_values = {
    }

    validations = {
    }

    @cached_property
    def additional_properties_type():
        """
        This must be a method because a model may have properties that are
        of type self, this must run after the class is loaded
        """
        lazy_import()
        return (bool, date, datetime, dict, float, int, list, str, none_type,)  # noqa: E501

    _nullable = False

    @cached_property
    def openapi_types():
        """
        This must be a method because a model may have properties that are
        of type self, this must run after the class is loaded

        Returns
            openapi_types (dict): The key is attribute name
                and the value is attribute type.
        """
        lazy_import()
        return {
            'abstract_step': (GithubComArgoprojLabsArgoDataflowApiV1alpha1AbstractStep,),  # noqa: E501
            'max_size': (str,),  # noqa: E501
            'uid': (str,),  # noqa: E501
        }

    @cached_property
    def discriminator():
        return None


    attribute_map = {
        'abstract_step': 'abstractStep',  # noqa: E501
        'max_size': 'maxSize',  # noqa: E501
        'uid': 'uid',  # noqa: E501
    }

    read_only_vars = {
    }

    _composed_schemas = {}

    @classmethod
    @convert_js_args_to_python_args
    def _from_openapi_data(cls, *args, **kwargs):  # noqa: E501
        """GithubComArgoprojLabsArgoDataflowApiV1alpha1Dedupe - a model defined in OpenAPI

        Keyword Args:
            _check_type (bool): if True, values for parameters in openapi_types
                                will be type checked and a TypeError will be
                                raised if the wrong type is input.
                                Defaults to True
            _path_to_item (tuple/list): This is a list of keys or values to
                                drill down to the model in received_data
                                when deserializing a response
            _spec_property_naming (bool): True if the variable names in the input data
                                are serialized names, as specified in the OpenAPI document.
                                False if the variable names in the input data
                                are pythonic names, e.g. snake case (default)
            _configuration (Configuration): the instance to use when
                                deserializing a file_type parameter.
                                If passed, type conversion is attempted
                                If omitted no type conversion is done.
            _visited_composed_classes (tuple): This stores a tuple of
                                classes that we have traveled through so that
                                if we see that class again we will not use its
                                discriminator again.
                                When traveling through a discriminator, the
                                composed schema that is
                                is traveled through is added to this set.
                                For example if Animal has a discriminator
                                petType and we pass in "Dog", and the class Dog
                                allOf includes Animal, we move through Animal
                                once using the discriminator, and pick Dog.
                                Then in Dog, we will make an instance of the
                                Animal class but this time we won't travel
                                through its discriminator because we passed in
                                _visited_composed_classes = (Animal,)
            abstract_step (GithubComArgoprojLabsArgoDataflowApiV1alpha1AbstractStep): [optional]  # noqa: E501
            max_size (str): Quantity is a fixed-point representation of a number. It provides convenient marshaling/unmarshaling in JSON and YAML, in addition to String() and AsInt64() accessors.  The serialization format is:  <quantity>        ::= <signedNumber><suffix>   (Note that <suffix> may be empty, from the \"\" case in <decimalSI>.) <digit>           ::= 0 | 1 | ... | 9 <digits>          ::= <digit> | <digit><digits> <number>          ::= <digits> | <digits>.<digits> | <digits>. | .<digits> <sign>            ::= \"+\" | \"-\" <signedNumber>    ::= <number> | <sign><number> <suffix>          ::= <binarySI> | <decimalExponent> | <decimalSI> <binarySI>        ::= Ki | Mi | Gi | Ti | Pi | Ei   (International System of units; See: http://physics.nist.gov/cuu/Units/binary.html) <decimalSI>       ::= m | \"\" | k | M | G | T | P | E   (Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.) <decimalExponent> ::= \"e\" <signedNumber> | \"E\" <signedNumber>  No matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise will be capped or rounded up. (E.g.: 0.1m will rounded up to 1m.) This may be extended in the future if we require larger or smaller quantities.  When a Quantity is parsed from a string, it will remember the type of suffix it had, and will use the same type again when it is serialized.  Before serializing, Quantity will be put in \"canonical form\". This means that Exponent/suffix will be adjusted up or down (with a corresponding increase or decrease in Mantissa) such that:   a. No precision is lost   b. No fractional digits will be emitted   c. The exponent (or suffix) is as large as possible. The sign will be omitted unless the number is negative.  Examples:   1.5 will be serialized as \"1500m\"   1.5Gi will be serialized as \"1536Mi\"  Note that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.  Non-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical form, or don't diff.)  This format is intended to make it difficult to use these numbers without writing some sort of special handling code in the hopes that that will cause implementors to also use a fixed point implementation.. [optional]  # noqa: E501
            uid (str): [optional]  # noqa: E501
        """

        _check_type = kwargs.pop('_check_type', True)
        _spec_property_naming = kwargs.pop('_spec_property_naming', False)
        _path_to_item = kwargs.pop('_path_to_item', ())
        _configuration = kwargs.pop('_configuration', None)
        _visited_composed_classes = kwargs.pop('_visited_composed_classes', ())

        self = super(OpenApiModel, cls).__new__(cls)

        if args:
            raise ApiTypeError(
                "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." % (
                    args,
                    self.__class__.__name__,
                ),
                path_to_item=_path_to_item,
                valid_classes=(self.__class__,),
            )

        self._data_store = {}
        self._check_type = _check_type
        self._spec_property_naming = _spec_property_naming
        self._path_to_item = _path_to_item
        self._configuration = _configuration
        self._visited_composed_classes = _visited_composed_classes + (self.__class__,)

        for var_name, var_value in kwargs.items():
            if var_name not in self.attribute_map and \
                        self._configuration is not None and \
                        self._configuration.discard_unknown_keys and \
                        self.additional_properties_type is None:
                # discard variable.
                continue
            setattr(self, var_name, var_value)
        return self

    required_properties = set([
        '_data_store',
        '_check_type',
        '_spec_property_naming',
        '_path_to_item',
        '_configuration',
        '_visited_composed_classes',
    ])

    @convert_js_args_to_python_args
    def __init__(self, *args, **kwargs):  # noqa: E501
        """GithubComArgoprojLabsArgoDataflowApiV1alpha1Dedupe - a model defined in OpenAPI

        Keyword Args:
            _check_type (bool): if True, values for parameters in openapi_types
                                will be type checked and a TypeError will be
                                raised if the wrong type is input.
                                Defaults to True
            _path_to_item (tuple/list): This is a list of keys or values to
                                drill down to the model in received_data
                                when deserializing a response
            _spec_property_naming (bool): True if the variable names in the input data
                                are serialized names, as specified in the OpenAPI document.
                                False if the variable names in the input data
                                are pythonic names, e.g. snake case (default)
            _configuration (Configuration): the instance to use when
                                deserializing a file_type parameter.
                                If passed, type conversion is attempted
                                If omitted no type conversion is done.
            _visited_composed_classes (tuple): This stores a tuple of
                                classes that we have traveled through so that
                                if we see that class again we will not use its
                                discriminator again.
                                When traveling through a discriminator, the
                                composed schema that is
                                is traveled through is added to this set.
                                For example if Animal has a discriminator
                                petType and we pass in "Dog", and the class Dog
                                allOf includes Animal, we move through Animal
                                once using the discriminator, and pick Dog.
                                Then in Dog, we will make an instance of the
                                Animal class but this time we won't travel
                                through its discriminator because we passed in
                                _visited_composed_classes = (Animal,)
            abstract_step (GithubComArgoprojLabsArgoDataflowApiV1alpha1AbstractStep): [optional]  # noqa: E501
            max_size (str): Quantity is a fixed-point representation of a number. It provides convenient marshaling/unmarshaling in JSON and YAML, in addition to String() and AsInt64() accessors.  The serialization format is:  <quantity>        ::= <signedNumber><suffix>   (Note that <suffix> may be empty, from the \"\" case in <decimalSI>.) <digit>           ::= 0 | 1 | ... | 9 <digits>          ::= <digit> | <digit><digits> <number>          ::= <digits> | <digits>.<digits> | <digits>. | .<digits> <sign>            ::= \"+\" | \"-\" <signedNumber>    ::= <number> | <sign><number> <suffix>          ::= <binarySI> | <decimalExponent> | <decimalSI> <binarySI>        ::= Ki | Mi | Gi | Ti | Pi | Ei   (International System of units; See: http://physics.nist.gov/cuu/Units/binary.html) <decimalSI>       ::= m | \"\" | k | M | G | T | P | E   (Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.) <decimalExponent> ::= \"e\" <signedNumber> | \"E\" <signedNumber>  No matter which of the three exponent forms is used, no quantity may represent a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal places. Numbers larger or more precise will be capped or rounded up. (E.g.: 0.1m will rounded up to 1m.) This may be extended in the future if we require larger or smaller quantities.  When a Quantity is parsed from a string, it will remember the type of suffix it had, and will use the same type again when it is serialized.  Before serializing, Quantity will be put in \"canonical form\". This means that Exponent/suffix will be adjusted up or down (with a corresponding increase or decrease in Mantissa) such that:   a. No precision is lost   b. No fractional digits will be emitted   c. The exponent (or suffix) is as large as possible. The sign will be omitted unless the number is negative.  Examples:   1.5 will be serialized as \"1500m\"   1.5Gi will be serialized as \"1536Mi\"  Note that the quantity will NEVER be internally represented by a floating point number. That is the whole point of this exercise.  Non-canonical values will still parse as long as they are well formed, but will be re-emitted in their canonical form. (So always use canonical form, or don't diff.)  This format is intended to make it difficult to use these numbers without writing some sort of special handling code in the hopes that that will cause implementors to also use a fixed point implementation.. [optional]  # noqa: E501
            uid (str): [optional]  # noqa: E501
        """

        _check_type = kwargs.pop('_check_type', True)
        _spec_property_naming = kwargs.pop('_spec_property_naming', False)
        _path_to_item = kwargs.pop('_path_to_item', ())
        _configuration = kwargs.pop('_configuration', None)
        _visited_composed_classes = kwargs.pop('_visited_composed_classes', ())

        if args:
            raise ApiTypeError(
                "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." % (
                    args,
                    self.__class__.__name__,
                ),
                path_to_item=_path_to_item,
                valid_classes=(self.__class__,),
            )

        self._data_store = {}
        self._check_type = _check_type
        self._spec_property_naming = _spec_property_naming
        self._path_to_item = _path_to_item
        self._configuration = _configuration
        self._visited_composed_classes = _visited_composed_classes + (self.__class__,)

        for var_name, var_value in kwargs.items():
            if var_name not in self.attribute_map and \
                        self._configuration is not None and \
                        self._configuration.discard_unknown_keys and \
                        self.additional_properties_type is None:
                # discard variable.
                continue
            setattr(self, var_name, var_value)
            if var_name in self.read_only_vars:
                raise ApiAttributeError(f"`{var_name}` is a read-only attribute. Use `from_openapi_data` to instantiate "
                                     f"class with read only attributes.")

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