Upload operators.py with huggingface_hub
Browse files- operators.py +47 -21
operators.py
CHANGED
@@ -35,7 +35,6 @@ General Operaotrs List:
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import collections
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import copy
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import operator
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import os
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import uuid
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import zipfile
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from abc import abstractmethod
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@@ -418,8 +417,6 @@ class InstanceFieldOperator(StreamInstanceOperator):
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raise ValueError(
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f"Failed to process '{from_field}' from {instance} due to : {e}"
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) from e
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if is_subpath(from_field, to_field) or is_subpath(to_field, from_field):
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dict_delete(instance, from_field)
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dict_set(
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instance,
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to_field,
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@@ -471,18 +468,7 @@ class RenameFields(FieldOperator):
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if (not is_subpath(from_field, to_field)) and (
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not is_subpath(to_field, from_field)
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):
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dict_delete(res, from_field)
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if self.use_query:
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from_field_components = list(
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os.path.normpath(from_field).split(os.path.sep)
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)
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while len(from_field_components) > 1:
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from_field_components.pop()
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parent = dict_get(res, os.path.sep.join(from_field_components))
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if isinstance(parent, dict) and not parent:
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dict_delete(res, os.path.sep.join(from_field_components))
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else:
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break
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return res
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@@ -1480,10 +1466,6 @@ class RemoveValues(FieldOperator):
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def verify(self):
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super().verify()
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if self.process_every_value:
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raise ValueError(
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"'process_every_value=True' is not supported in RemoveValues operator"
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)
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if not isinstance(self.unallowed_values, list):
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raise ValueError(
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@@ -1712,7 +1694,7 @@ class EncodeLabels(StreamInstanceOperator):
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{"a": "blue", "b": ["green"], "c":"water"}] will yield the
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output stream = [{'a': 0, 'b': [0, 1], 'c': 'bread'}, {'a': 1, 'b': [2], 'c': 'water'}]
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Note:
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input 'fields' with the appendix "/*" as in the above example.
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"""
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@@ -1728,14 +1710,21 @@ class EncodeLabels(StreamInstanceOperator):
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) -> Dict[str, Any]:
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for field_name in self.fields:
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values = dict_get(instance, field_name, use_dpath=True)
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if not isinstance(values, list):
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values = [values]
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for value in values:
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if value not in self.encoder:
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self.encoder[value] = len(self.encoder)
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new_values = [self.encoder[value] for value in values]
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dict_set(
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instance,
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)
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return instance
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@@ -1904,3 +1893,40 @@ class ExtractZipFile(SideEffectOperator):
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def process(self):
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with zipfile.ZipFile(self.zip_file) as zf:
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zf.extractall(self.target_dir)
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import collections
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import copy
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import operator
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import uuid
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import zipfile
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from abc import abstractmethod
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raise ValueError(
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f"Failed to process '{from_field}' from {instance} due to : {e}"
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) from e
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dict_set(
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instance,
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to_field,
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if (not is_subpath(from_field, to_field)) and (
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not is_subpath(to_field, from_field)
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):
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dict_delete(res, from_field, remove_empty_ancestors=True)
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return res
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def verify(self):
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super().verify()
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if not isinstance(self.unallowed_values, list):
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raise ValueError(
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{"a": "blue", "b": ["green"], "c":"water"}] will yield the
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output stream = [{'a': 0, 'b': [0, 1], 'c': 'bread'}, {'a': 1, 'b': [2], 'c': 'water'}]
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Note: qpath is applied here, and hence, fields that are lists, should be included in
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input 'fields' with the appendix "/*" as in the above example.
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"""
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) -> Dict[str, Any]:
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for field_name in self.fields:
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values = dict_get(instance, field_name, use_dpath=True)
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values_was_a_list = isinstance(values, list)
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if not isinstance(values, list):
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values = [values]
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for value in values:
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if value not in self.encoder:
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self.encoder[value] = len(self.encoder)
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new_values = [self.encoder[value] for value in values]
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if not values_was_a_list:
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new_values = new_values[0]
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dict_set(
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instance,
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field_name,
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new_values,
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use_dpath=True,
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set_multiple="*" in field_name,
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)
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return instance
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def process(self):
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with zipfile.ZipFile(self.zip_file) as zf:
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zf.extractall(self.target_dir)
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class DuplicateInstances(SingleStreamOperator):
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"""Operator which duplicates each instance in stream a given number of times.
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Attributes:
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num_duplications (int): How many times each instance should be duplicated (1 means no duplication).
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duplication_index_field (Optional[str]):
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If given, then additional field with specified name is added to each duplicated instance,
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which contains id of a given duplication. Defaults to None, so no field is added.
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"""
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num_duplications: int
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duplication_index_field: Optional[str] = None
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def process(self, stream: Stream, stream_name: Optional[str] = None) -> Generator:
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for instance in stream:
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for idx in range(self.num_duplications):
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duplicate = deepcopy(instance)
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if self.duplication_index_field:
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duplicate.update({self.duplication_index_field: idx})
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yield duplicate
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def verify(self):
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if not isinstance(self.num_duplications, int) or self.num_duplications < 1:
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raise ValueError(
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f"num_duplications must be an integer equal to or greater than 1. "
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f"Got: {self.num_duplications}."
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)
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if self.duplication_index_field is not None and not isinstance(
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self.duplication_index_field, str
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):
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raise ValueError(
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f"If given, duplication_index_field must be a string. "
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f"Got: {self.duplication_index_field}"
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)
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