Dontopedia

Segment Input Method

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Segment Input Method is Segment the input sequence into smaller chunks that fit within the max token limit..

61 facts·38 predicates·6 sources·10 in dispute

Mostly:rdf:type(8), parameter(4), has docstring(4)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (31)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

hasMethodHas Method(5)

containsMethodContains Method(4)

belongsToBelongs to(3)

callsCalls(2)

relatedMethodRelated Method(2)

controlsControls(1)

enforcedByEnforced by(1)

firstCallFirst Call(1)

implementedByImplemented by(1)

includesIncludes(1)

indentsIndents(1)

intendedToIntended to(1)

invokesInvokes(1)

producedByProduced by(1)

referencedByReferenced by(1)

returnedByReturned by(1)

returnTypeOfReturn Type of(1)

segmentedBySegmented by(1)

similarMethodsSimilar Methods(1)

usedInUsed in(1)

Other facts (61)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

61 facts
PredicateValueRef
Rdf:typeMethod[1]
Rdf:typeInstance Method[1]
Rdf:typeMethod[2]
Rdf:typeMethod[3]
Rdf:typeMethod[4]
Rdf:typeMethod[5]
Rdf:typeSegmentation Method[5]
Rdf:typeMethod[6]
ParameterInput Sequence Parameter[1]
Parameterinput_sequence[3]
Parameterinput_sequence[4]
ParameterInput Sequence[5]
Has DocstringSegment the input sequence into smaller chunks that fit within the max token limit.[1]
Has DocstringSegment the input sequence into smaller chunks that fit within the max token limit.[4]
Has Docstringparam input_sequence: The input sequence to be segmented.[4]
Has Docstringreturn: List of segmented input sequences.[4]
DescriptionSegment the input sequence into smaller chunks that fit within the max token limit.[1]
DescriptionSegment the input sequence into smaller chunks that fit within the max token limit[2]
DescriptionSegment the input sequence into smaller chunks that fit within the max token limit.[4]
ReturnsSegments List[2]
ReturnsSegmented Inputs[5]
ReturnsSegments[6]
Method Namesegment_input[1]
Method Namesegment_input[4]
Return TypeList[1]
Return Typelist[4]
Part ofUnnamed Class[2]
Part ofToken Segmentation[6]
Purposetoken-overflow-prevention[2]
Purposesegmenting input data into chunks[6]
InvokesSegment Operation[4]
InvokesList Append Operation[4]
CallsMin Function[4]
CallsLen Function[4]
Param DescriptionThe input sequence to be segmented.[1]
Return DescriptionList of segmented input sequences.[1]
Has Return Valuesegments[1]
Has Parameterinput_sequence[2]
Parameter TypeInput Sequence[2]
Related MethodHandle Token Overflow Method[2]
Is Instance Methodtrue[2]
DocstringSegment the input sequence into smaller chunks that fit within the max token limit.[2]
Has Implementationtrue[2]
Docstring Param Taginput_sequence[2]
Docstring Return TagList of segmented input sequences[2]
Algorithmsliding-window[2]
ImplementsToken Overflow Prevention[2]
StatusTodo[3]
Caused byToken Overflow[3]
Intended to HandleToken Overflow[3]
Not ImplementedTrue[3]
Takes InputInput Sequence[3]
Return Statementsegments[4]
Has Parameter Typesequence[4]
Related toToken Limit Concept[4]
EnablesHandle Token Overflow Method[4]
Controlled byWhile Loop[4]
Has ComplexityO(n)[4]
Called byMain Method[5]
SplitsInput Sequence[5]
ProducesSmaller Chunks[6]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/52d627ed-6239-49b6-bd14-efdba6a0d5cc
ex:Method
methodNamebeam/52d627ed-6239-49b6-bd14-efdba6a0d5cc
segment_input
parameterbeam/52d627ed-6239-49b6-bd14-efdba6a0d5cc
ex:input-sequence-parameter
returnTypebeam/52d627ed-6239-49b6-bd14-efdba6a0d5cc
ex:List
descriptionbeam/52d627ed-6239-49b6-bd14-efdba6a0d5cc
Segment the input sequence into smaller chunks that fit within the max token limit.
hasDocstringbeam/52d627ed-6239-49b6-bd14-efdba6a0d5cc
Segment the input sequence into smaller chunks that fit within the max token limit.
paramDescriptionbeam/52d627ed-6239-49b6-bd14-efdba6a0d5cc
The input sequence to be segmented.
returnDescriptionbeam/52d627ed-6239-49b6-bd14-efdba6a0d5cc
List of segmented input sequences.
hasReturnValuebeam/52d627ed-6239-49b6-bd14-efdba6a0d5cc
segments
typebeam/52d627ed-6239-49b6-bd14-efdba6a0d5cc
ex:InstanceMethod
hasParameterbeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
input_sequence
parameterTypebeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
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returnsbeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
ex:segments-list
descriptionbeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
Segment the input sequence into smaller chunks that fit within the max token limit
typebeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
ex:Method
relatedMethodbeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
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isInstanceMethodbeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
true
docstringbeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
Segment the input sequence into smaller chunks that fit within the max token limit.
hasImplementationbeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
true
docstringParamTagbeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
input_sequence
docstringReturnTagbeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
List of segmented input sequences
partOfbeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
ex:unnamed-class
algorithmbeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
sliding-window
purposebeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
token-overflow-prevention
implementsbeam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
ex:token-overflow-prevention
statusbeam/13699e82-e47c-4425-b998-5bff592a4c0d
ex:TODO
parameterbeam/13699e82-e47c-4425-b998-5bff592a4c0d
input_sequence
typebeam/13699e82-e47c-4425-b998-5bff592a4c0d
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causedBybeam/13699e82-e47c-4425-b998-5bff592a4c0d
ex:token-overflow
intendedToHandlebeam/13699e82-e47c-4425-b998-5bff592a4c0d
ex:token-overflow
notImplementedbeam/13699e82-e47c-4425-b998-5bff592a4c0d
ex:true
takesInputbeam/13699e82-e47c-4425-b998-5bff592a4c0d
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typebeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
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methodNamebeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
segment_input
parameterbeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
input_sequence
returnTypebeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
list
descriptionbeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
Segment the input sequence into smaller chunks that fit within the max token limit.
returnStatementbeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
segments
hasParameterTypebeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
sequence
invokesbeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
ex:segment-operation
relatedTobeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
ex:token-limit-concept
hasDocstringbeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
Segment the input sequence into smaller chunks that fit within the max token limit.
hasDocstringbeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
param input_sequence: The input sequence to be segmented.
hasDocstringbeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
return: List of segmented input sequences.
invokesbeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
ex:list-append-operation
callsbeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
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callsbeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
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enablesbeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
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controlledBybeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
ex:while-loop
hasComplexitybeam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
O(n)
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calledBybeam/aace607c-3ba3-405d-93f1-514f1d45e101
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typebeam/aace607c-3ba3-405d-93f1-514f1d45e101
ex:SegmentationMethod
splitsbeam/aace607c-3ba3-405d-93f1-514f1d45e101
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typebeam/86a744f9-9e99-4ea1-9cc5-81a5f545d2e0
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partOfbeam/86a744f9-9e99-4ea1-9cc5-81a5f545d2e0
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purposebeam/86a744f9-9e99-4ea1-9cc5-81a5f545d2e0
segmenting input data into chunks
producesbeam/86a744f9-9e99-4ea1-9cc5-81a5f545d2e0
ex:smaller-chunks
returnsbeam/86a744f9-9e99-4ea1-9cc5-81a5f545d2e0
ex:segments

References (6)

6 references
  1. ctx:claims/beam/52d627ed-6239-49b6-bd14-efdba6a0d5cc
    • full textbeam-chunk
      text/plain1 KBdoc:beam/52d627ed-6239-49b6-bd14-efdba6a0d5cc
      Show excerpt
      handler = logging.StreamHandler() formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') handler.setFormatter(formatter) self.logger.addHandler(handler) def segment_input(s
  2. ctx:claims/beam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e4c7f4cb-8e21-442a-8fff-67f9711c0bb0
      Show excerpt
      formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') handler.setFormatter(formatter) self.logger.addHandler(handler) def segment_input(self, input_sequence): """
  3. ctx:claims/beam/13699e82-e47c-4425-b998-5bff592a4c0d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/13699e82-e47c-4425-b998-5bff592a4c0d
      Show excerpt
      - **Overlap Handling**: The `overlap` parameter allows for maintaining context continuity. - **Efficient Slicing**: Direct slicing minimizes redundant operations. By implementing these optimizations, you should see improved performance in
  4. ctx:claims/beam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
    • full textbeam-chunk
      text/plain1 KBdoc:beam/d78a3311-25e6-4b90-ac75-59c6dfa59f13
      Show excerpt
      self.logger = logging.getLogger(__name__) self.logger.setLevel(logging.INFO) handler = logging.StreamHandler() formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') han
  5. ctx:claims/beam/aace607c-3ba3-405d-93f1-514f1d45e101
    • full textbeam-chunk
      text/plain1 KBdoc:beam/aace607c-3ba3-405d-93f1-514f1d45e101
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      :return: List of processed segments. """ if len(input_sequence) > self.max_tokens: self.logger.info(f"Token overflow detected: {len(input_sequence)} tokens") segmented_inputs = self.segment_in
  6. ctx:claims/beam/86a744f9-9e99-4ea1-9cc5-81a5f545d2e0
    • full textbeam-chunk
      text/plain944 Bdoc:beam/86a744f9-9e99-4ea1-9cc5-81a5f545d2e0
      Show excerpt
      - The segments are returned as a list of token lists. 5. **Caching**: - Use a dictionary (`self.cache`) to store and reuse previously computed contexts based on the token count. ### Example Usage - **Adding Tokens**: Tokens are add

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