Upload renderers.py with huggingface_hub
Browse files- renderers.py +24 -13
renderers.py
CHANGED
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@@ -1,11 +1,11 @@
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from abc import ABC
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from typing import Any, Dict, List
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from .dataclass import InternalField
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from .formats import Format, ICLFormat
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from .instructions import Instruction
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from .operator import Operator,
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from .random_utils import
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from .templates import Template
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@@ -21,7 +21,9 @@ class RenderTemplate(Renderer, StreamInstanceOperator):
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random_reference: bool = False
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skip_rendered_instance: bool = True
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def process(
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if self.skip_rendered_instance:
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if (
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"inputs" not in instance
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@@ -32,16 +34,17 @@ class RenderTemplate(Renderer, StreamInstanceOperator):
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):
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return instance
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inputs = instance
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outputs = instance
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source = self.template.process_inputs(inputs)
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targets = self.template.process_outputs(outputs)
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if self.template.is_multi_reference:
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references = targets
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if self.random_reference:
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target =
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else:
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if len(references) == 0:
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raise ValueError("No references found")
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@@ -64,7 +67,9 @@ class RenderTemplate(Renderer, StreamInstanceOperator):
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class RenderDemonstrations(RenderTemplate):
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demos_field: str
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def process(
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demos = instance.get(self.demos_field, [])
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processed_demos = []
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@@ -80,7 +85,9 @@ class RenderDemonstrations(RenderTemplate):
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class RenderInstruction(Renderer, StreamInstanceOperator):
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instruction: Instruction
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def process(
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if self.instruction is not None:
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instance["instruction"] = self.instruction()
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else:
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@@ -92,16 +99,20 @@ class RenderFormat(Renderer, StreamInstanceOperator):
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format: Format
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demos_field: str = None
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def process(
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demos_instances = instance.pop(self.demos_field, None)
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if demos_instances is not None:
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instance["source"] = self.format.format(
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else:
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instance["source"] = self.format.format(instance)
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return instance
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class StandardRenderer(Renderer,
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template: Template
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instruction: Instruction = None
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demos_field: str = None
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from abc import ABC
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from typing import Any, Dict, List, Optional
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from .dataclass import InternalField
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from .formats import Format, ICLFormat
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from .instructions import Instruction
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from .operator import Operator, SequentialOperator, StreamInstanceOperator
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from .random_utils import get_random
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from .templates import Template
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random_reference: bool = False
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skip_rendered_instance: bool = True
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def process(
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self, instance: Dict[str, Any], stream_name: Optional[str] = None
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) -> Dict[str, Any]:
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if self.skip_rendered_instance:
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if (
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"inputs" not in instance
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):
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return instance
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inputs = instance["inputs"]
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outputs = instance["outputs"]
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source = self.template.process_inputs(inputs)
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targets = self.template.process_outputs(outputs)
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if self.template.is_multi_reference:
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assert isinstance(targets, list), f"{targets} must be a list"
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references = targets
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if self.random_reference:
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target = get_random().choice(references)
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else:
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if len(references) == 0:
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raise ValueError("No references found")
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class RenderDemonstrations(RenderTemplate):
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demos_field: str
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def process(
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self, instance: Dict[str, Any], stream_name: Optional[str] = None
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) -> Dict[str, Any]:
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demos = instance.get(self.demos_field, [])
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processed_demos = []
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class RenderInstruction(Renderer, StreamInstanceOperator):
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instruction: Instruction
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def process(
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self, instance: Dict[str, Any], stream_name: Optional[str] = None
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) -> Dict[str, Any]:
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if self.instruction is not None:
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instance["instruction"] = self.instruction()
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else:
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format: Format
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demos_field: str = None
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def process(
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self, instance: Dict[str, Any], stream_name: Optional[str] = None
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) -> Dict[str, Any]:
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demos_instances = instance.pop(self.demos_field, None)
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if demos_instances is not None:
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instance["source"] = self.format.format(
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instance, demos_instances=demos_instances
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)
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else:
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instance["source"] = self.format.format(instance)
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return instance
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class StandardRenderer(Renderer, SequentialOperator):
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template: Template
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instruction: Instruction = None
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demos_field: str = None
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