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Browse files- validate.py +24 -26
validate.py
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from
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from
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from datasets import
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from
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from typing import Dict, Any
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from abc import ABC, abstractmethod
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class Validator(ABC):
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pass
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class ValidateSchema(Validator, StreamInstanceOperator):
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schema: Features = None
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def verify(self):
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assert isinstance(self.schema, Features),
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assert self.schema is not None,
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def verify_first_instance(self, instance):
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for field in self.standart_fields:
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assert field in instance, f'Field "{field}" is missing in the first instance'
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def process(self, instance: Dict[str, Any], stream_name: str = None) -> Dict[str, Any]:
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return instance
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class StandardSchema(Features):
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def __init__(self):
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super().__init__(
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class ValidateStandartSchema:
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schema: Features = field(default_factory=StandardSchema)
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from abc import ABC
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from dataclasses import field
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from typing import Any, Dict
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from datasets import Dataset, Features, Sequence, Value
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from .operator import StreamInstanceOperator
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class Validator(ABC):
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pass
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class ValidateSchema(Validator, StreamInstanceOperator):
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schema: Features = None
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def verify(self):
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assert isinstance(self.schema, Features), "Schema must be an instance of Features"
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assert self.schema is not None, "Schema must be specified"
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def verify_first_instance(self, instance):
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for field in self.standart_fields:
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assert field in instance, f'Field "{field}" is missing in the first instance'
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def process(self, instance: Dict[str, Any], stream_name: str = None) -> Dict[str, Any]:
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return instance
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class StandardSchema(Features):
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def __init__(self):
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super().__init__(
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{
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"source": Value("string"),
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"target": Value("string"),
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"references": Sequence(Value("string")),
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"metrics": Sequence(Value("string")),
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"parser": Value("string"),
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# 'group': Value('string'),
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# 'guidance': Value('string'),
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}
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)
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class ValidateStandartSchema:
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schema: Features = field(default_factory=StandardSchema)
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