Elron commited on
Commit
00b57f3
1 Parent(s): 59b81d3

Upload renderers.py with huggingface_hub

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Files changed (1) hide show
  1. renderers.py +24 -13
renderers.py CHANGED
@@ -1,11 +1,11 @@
1
- from abc import ABC, abstractmethod
2
- from typing import Any, Dict, List
3
 
4
  from .dataclass import InternalField
5
  from .formats import Format, ICLFormat
6
  from .instructions import Instruction
7
- from .operator import Operator, SequntialOperator, StreamInstanceOperator
8
- from .random_utils import random
9
  from .templates import Template
10
 
11
 
@@ -21,7 +21,9 @@ class RenderTemplate(Renderer, StreamInstanceOperator):
21
  random_reference: bool = False
22
  skip_rendered_instance: bool = True
23
 
24
- def process(self, instance: Dict[str, Any], stream_name: str = None) -> Dict[str, Any]:
 
 
25
  if self.skip_rendered_instance:
26
  if (
27
  "inputs" not in instance
@@ -32,16 +34,17 @@ class RenderTemplate(Renderer, StreamInstanceOperator):
32
  ):
33
  return instance
34
 
35
- inputs = instance.pop("inputs")
36
- outputs = instance.pop("outputs")
37
 
38
  source = self.template.process_inputs(inputs)
39
  targets = self.template.process_outputs(outputs)
40
 
41
  if self.template.is_multi_reference:
 
42
  references = targets
43
  if self.random_reference:
44
- target = random.choice(references)
45
  else:
46
  if len(references) == 0:
47
  raise ValueError("No references found")
@@ -64,7 +67,9 @@ class RenderTemplate(Renderer, StreamInstanceOperator):
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  class RenderDemonstrations(RenderTemplate):
65
  demos_field: str
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67
- def process(self, instance: Dict[str, Any], stream_name: str = None) -> Dict[str, Any]:
 
 
68
  demos = instance.get(self.demos_field, [])
69
 
70
  processed_demos = []
@@ -80,7 +85,9 @@ class RenderDemonstrations(RenderTemplate):
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  class RenderInstruction(Renderer, StreamInstanceOperator):
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  instruction: Instruction
82
 
83
- def process(self, instance: Dict[str, Any], stream_name: str = None) -> Dict[str, Any]:
 
 
84
  if self.instruction is not None:
85
  instance["instruction"] = self.instruction()
86
  else:
@@ -92,16 +99,20 @@ class RenderFormat(Renderer, StreamInstanceOperator):
92
  format: Format
93
  demos_field: str = None
94
 
95
- def process(self, instance: Dict[str, Any], stream_name: str = None) -> Dict[str, Any]:
 
 
96
  demos_instances = instance.pop(self.demos_field, None)
97
  if demos_instances is not None:
98
- instance["source"] = self.format.format(instance, demos_instances=demos_instances)
 
 
99
  else:
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  instance["source"] = self.format.format(instance)
101
  return instance
102
 
103
 
104
- class StandardRenderer(Renderer, SequntialOperator):
105
  template: Template
106
  instruction: Instruction = None
107
  demos_field: str = None
 
1
+ from abc import ABC
2
+ from typing import Any, Dict, List, Optional
3
 
4
  from .dataclass import InternalField
5
  from .formats import Format, ICLFormat
6
  from .instructions import Instruction
7
+ from .operator import Operator, SequentialOperator, StreamInstanceOperator
8
+ from .random_utils import get_random
9
  from .templates import Template
10
 
11
 
 
21
  random_reference: bool = False
22
  skip_rendered_instance: bool = True
23
 
24
+ def process(
25
+ self, instance: Dict[str, Any], stream_name: Optional[str] = None
26
+ ) -> Dict[str, Any]:
27
  if self.skip_rendered_instance:
28
  if (
29
  "inputs" not in instance
 
34
  ):
35
  return instance
36
 
37
+ inputs = instance["inputs"]
38
+ outputs = instance["outputs"]
39
 
40
  source = self.template.process_inputs(inputs)
41
  targets = self.template.process_outputs(outputs)
42
 
43
  if self.template.is_multi_reference:
44
+ assert isinstance(targets, list), f"{targets} must be a list"
45
  references = targets
46
  if self.random_reference:
47
+ target = get_random().choice(references)
48
  else:
49
  if len(references) == 0:
50
  raise ValueError("No references found")
 
67
  class RenderDemonstrations(RenderTemplate):
68
  demos_field: str
69
 
70
+ def process(
71
+ self, instance: Dict[str, Any], stream_name: Optional[str] = None
72
+ ) -> Dict[str, Any]:
73
  demos = instance.get(self.demos_field, [])
74
 
75
  processed_demos = []
 
85
  class RenderInstruction(Renderer, StreamInstanceOperator):
86
  instruction: Instruction
87
 
88
+ def process(
89
+ self, instance: Dict[str, Any], stream_name: Optional[str] = None
90
+ ) -> Dict[str, Any]:
91
  if self.instruction is not None:
92
  instance["instruction"] = self.instruction()
93
  else:
 
99
  format: Format
100
  demos_field: str = None
101
 
102
+ def process(
103
+ self, instance: Dict[str, Any], stream_name: Optional[str] = None
104
+ ) -> Dict[str, Any]:
105
  demos_instances = instance.pop(self.demos_field, None)
106
  if demos_instances is not None:
107
+ instance["source"] = self.format.format(
108
+ instance, demos_instances=demos_instances
109
+ )
110
  else:
111
  instance["source"] = self.format.format(instance)
112
  return instance
113
 
114
 
115
+ class StandardRenderer(Renderer, SequentialOperator):
116
  template: Template
117
  instruction: Instruction = None
118
  demos_field: str = None