#!/usr/bin/python
#
# Copyright 2018-2021 Polyaxon, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# coding: utf-8

"""
    Polyaxon SDKs and REST API specification.

    Polyaxon SDKs and REST API specification.  # noqa: E501

    The version of the OpenAPI document: 1.17.1
    Contact: contact@polyaxon.com
    Generated by: https://openapi-generator.tech
"""


try:
    from inspect import getfullargspec
except ImportError:
    from inspect import getargspec as getfullargspec
import pprint
import re  # noqa: F401
import six

from polyaxon_sdk.configuration import Configuration


class V1ArtifactKind(object):
    """NOTE: This class is auto generated by OpenAPI Generator.
    Ref: https://openapi-generator.tech

    Do not edit the class manually.
    """

    """
    allowed enum values
    """
    MODEL = "model"
    AUDIO = "audio"
    VIDEO = "video"
    HISTOGRAM = "histogram"
    IMAGE = "image"
    TENSOR = "tensor"
    DATAFRAME = "dataframe"
    CHART = "chart"
    CSV = "csv"
    TSV = "tsv"
    PSV = "psv"
    SSV = "ssv"
    METRIC = "metric"
    ENV = "env"
    HTML = "html"
    TEXT = "text"
    FILE = "file"
    DIR = "dir"
    DOCKERFILE = "dockerfile"
    DOCKER_IMAGE = "docker_image"
    DATA = "data"
    CODEREF = "coderef"
    TABLE = "table"
    TENSORBOARD = "tensorboard"
    CURVE = "curve"
    CONFUSION = "confusion"
    ANALYSIS = "analysis"
    ITERATION = "iteration"
    MARKDOWN = "markdown"
    SYSTEM = "system"
    ARTIFACT = "artifact"

    allowable_values = [MODEL, AUDIO, VIDEO, HISTOGRAM, IMAGE, TENSOR, DATAFRAME, CHART, CSV, TSV, PSV, SSV, METRIC, ENV, HTML, TEXT, FILE, DIR, DOCKERFILE, DOCKER_IMAGE, DATA, CODEREF, TABLE, TENSORBOARD, CURVE, CONFUSION, ANALYSIS, ITERATION, MARKDOWN, SYSTEM, ARTIFACT]  # noqa: E501

    """
    Attributes:
      openapi_types (dict): The key is attribute name
                            and the value is attribute type.
      attribute_map (dict): The key is attribute name
                            and the value is json key in definition.
    """
    openapi_types = {
    }

    attribute_map = {
    }

    def __init__(self, local_vars_configuration=None):  # noqa: E501
        """V1ArtifactKind - a model defined in OpenAPI"""  # noqa: E501
        if local_vars_configuration is None:
            local_vars_configuration = Configuration.get_default_copy()
        self.local_vars_configuration = local_vars_configuration
        self.discriminator = None

    def to_dict(self, serialize=False):
        """Returns the model properties as a dict"""
        result = {}

        def convert(x):
            if hasattr(x, "to_dict"):
                args = getfullargspec(x.to_dict).args
                if len(args) == 1:
                    return x.to_dict()
                else:
                    return x.to_dict(serialize)
            else:
                return x

        for attr, _ in six.iteritems(self.openapi_types):
            value = getattr(self, attr)
            attr = self.attribute_map.get(attr, attr) if serialize else attr
            if isinstance(value, list):
                result[attr] = list(map(
                    lambda x: convert(x),
                    value
                ))
            elif isinstance(value, dict):
                result[attr] = dict(map(
                    lambda item: (item[0], convert(item[1])),
                    value.items()
                ))
            else:
                result[attr] = convert(value)

        return result

    def to_str(self):
        """Returns the string representation of the model"""
        return pprint.pformat(self.to_dict())

    def __repr__(self):
        """For `print` and `pprint`"""
        return self.to_str()

    def __eq__(self, other):
        """Returns true if both objects are equal"""
        if not isinstance(other, V1ArtifactKind):
            return False

        return self.to_dict() == other.to_dict()

    def __ne__(self, other):
        """Returns true if both objects are not equal"""
        if not isinstance(other, V1ArtifactKind):
            return True

        return self.to_dict() != other.to_dict()
