#!/usr/bin/python
#
# Copyright 2018-2023 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: 2.0.0-rc13
    Contact: contact@polyaxon.com
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""


from __future__ import annotations
from inspect import getfullargspec
import pprint
import re  # noqa: F401
import json


from typing import Optional
from pydantic import BaseModel, Field, StrictFloat, StrictInt, StrictStr

class V1DiffStoppingPolicy(BaseModel):
    """
    Early stopping with diff factor stopping, this policy computes checks runs against the best run and stops those whose performance is worse than the best by the factor defined by the user.
    """
    kind: Optional[StrictStr] = None
    percent: Optional[StrictFloat] = None
    evaluation_interval: Optional[StrictInt] = Field(None, alias="evaluationInterval", description="Interval/Frequency for applying the policy.")
    min_interval: Optional[StrictInt] = Field(None, alias="minInterval")
    min_samples: Optional[StrictInt] = Field(None, alias="minSamples")
    __properties = ["kind", "percent", "evaluationInterval", "minInterval", "minSamples"]

    class Config:
        allow_population_by_field_name = True
        validate_assignment = True

    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.dict(by_alias=True))

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        return json.dumps(self.to_dict())

    @classmethod
    def from_json(cls, json_str: str) -> V1DiffStoppingPolicy:
        """Create an instance of V1DiffStoppingPolicy from a JSON string"""
        return cls.from_dict(json.loads(json_str))

    def to_dict(self):
        """Returns the dictionary representation of the model using alias"""
        _dict = self.dict(by_alias=True,
                          exclude={
                          },
                          exclude_none=True)
        return _dict

    @classmethod
    def from_dict(cls, obj: dict) -> V1DiffStoppingPolicy:
        """Create an instance of V1DiffStoppingPolicy from a dict"""
        if obj is None:
            return None

        if type(obj) is not dict:
            return V1DiffStoppingPolicy.parse_obj(obj)

        _obj = V1DiffStoppingPolicy.parse_obj({
            "kind": obj.get("kind"),
            "percent": obj.get("percent"),
            "evaluation_interval": obj.get("evaluationInterval"),
            "min_interval": obj.get("minInterval"),
            "min_samples": obj.get("minSamples")
        })
        return _obj

