segment_input
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
segment_input is Segment the input sequence into smaller chunks that fit within the max token limit..
Mostly:uses(7), rdf:type(6), implementation detail(6)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound 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)
- Context Window Manager
ex:context-window-manager - Input Segmenter Class
ex:input-segmenter-class - Segmentation System
ex:segmentation-system - Token Overflow Handler
ex:token-overflow-handler - Token Processor
ex:token-processor
callsCalls(2)
- Handle Token Overflow
ex:handle-token-overflow - Handle Token Overflow
ex:handle-token-overflow
dependsOnDepends on(2)
- Get Embeddings
ex:get-embeddings - Handle Token Overflow
ex:handle-token-overflow
invokesInvokes(2)
- Handle Token Overflow
ex:handle-token-overflow - Handle Token Overflow
ex:handle-token-overflow
calls-methodCalls Method(1)
- Example Usage
ex:example-usage
complementsComplements(1)
- Cache Result
ex:cache-result
comprisesMethodComprises Method(1)
- Segmentation System
ex:segmentation-system
containsFunctionContains Function(1)
- Python Code
ex:python-code
delegatesToDelegates to(1)
- Handle Token Overflow
ex:handle-token-overflow
encapsulatesEncapsulates(1)
- Input Segmenter Class
ex:input-segmenter-class
followsFollows(1)
- Refine Segments
ex:refine-segments
hasPartHas Part(1)
- Token Overflow Solution
ex:token-overflow-solution
hasStageHas Stage(1)
- Text Processing Pipeline
ex:text-processing-pipeline
inverseOfInverse of(1)
- Handle Token Overflow
ex:handle-token-overflow
isSplitByIs Split by(1)
- Input Sequence
ex:input sequence
orchestratesOrchestrates(1)
- Handle Token Overflow
ex:handle-token-overflow
parameterOfParameter of(1)
- Input Sequence
ex:input_sequence
passesToPasses to(1)
- Handle Token Overflow
ex:handle-token-overflow
producedByProduced by(1)
- Segments List
ex:segments-list
receivesFromReceives From(1)
- Segmented Inputs
ex:segmented_inputs
relatedMethodRelated Method(1)
- Handle Token Overflow
ex:handle-token-overflow
requiresRequires(1)
- Model Process Method
ex:model-process-method
returnsValueOfReturns Value of(1)
- Handle Token Overflow
ex:handle-token-overflow
usedInUsed in(1)
- Range Function
ex:range-function
Other facts (158)
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.
| Predicate | Value | Ref |
|---|---|---|
| Uses | self.max_tokens | [1] |
| Uses | len function | [1] |
| Uses | min function | [1] |
| Uses | list append method | [1] |
| Uses | list slicing | [1] |
| Uses | Len Function | [8] |
| Uses | Len Function on Input Data | [8] |
| Rdf:type | Method | [1] |
| Rdf:type | Method | [5] |
| Rdf:type | Function | [6] |
| Rdf:type | Method | [7] |
| Rdf:type | Algorithm | [7] |
| Rdf:type | Method | [8] |
| Implementation Detail | uses while loop | [5] |
| Implementation Detail | calculates end_index | [5] |
| Implementation Detail | creates segment slice | [5] |
| Implementation Detail | appends segment to list | [5] |
| Implementation Detail | updates start_index with overlap | [5] |
| Implementation Detail | Uses for loop with range function | [6] |
| Has Parameter | input_sequence | [1] |
| Has Parameter | input_sequence | [5] |
| Has Parameter | Input Data | [8] |
| Has Parameter | Window Size | [8] |
| Has Parameter | Overlap | [8] |
| Returns | list of segmented input sequences | [1] |
| Returns | Segmented Inputs | [2] |
| Returns | List of Segments | [5] |
| Returns | Segments | [8] |
| Local Variable | segments | [1] |
| Local Variable | start_index | [1] |
| Local Variable | end_index | [1] |
| Local Variable | segment | [1] |
| Description | Segment the input sequence into smaller chunks that fit within the max token limit. | [1] |
| Description | Adjusted to account for overlap | [4] |
| Description | Segment the input sequence into smaller chunks that fit within the max token limit. | [5] |
| Produces | non-overlapping segments | [1] |
| Produces | Segments List | [6] |
| Produces | segment list | [7] |
| Handles | edge case of exact multiple | [1] |
| Handles | partial final chunk | [1] |
| Handles | sequence-segmentation | [3] |
| Modifies | segments list | [1] |
| Modifies | start_index | [1] |
| Modifies | start_index | [7] |
| List Operation | append | [1] |
| List Operation | append | [5] |
| Index Update | start_index += self.max_tokens | [1] |
| Index Update | start_index += (self.max_tokens - self.overlap) | [5] |
| Preserves | input order | [1] |
| Preserves | original sequence order | [1] |
| Return Statement | segments | [1] |
| Return Statement | segments | [5] |
| Initializes | Segments List | [5] |
| Initializes | Start Index | [5] |
| Uses Function | len | [5] |
| Uses Function | min | [5] |
| Calculates | end_index | [5] |
| Calculates | segment | [5] |
| Arithmetic Operation | addition | [5] |
| Arithmetic Operation | subtraction | [5] |
| Initializes Local Variable | Segments | [5] |
| Initializes Local Variable | Start Index | [5] |
| Uses Len Function | true | [5] |
| Uses Len Function | true | [6] |
| Depends on | Overlap | [7] |
| Depends on | Start Index | [7] |
| Control Structure | while loop | [1] |
| Is Method of | Token Overflow Handler | [1] |
| Is Part of | Token Overflow Handler | [1] |
| Contains | While Loop | [1] |
| Guarantees | complete processing | [1] |
| Processes | entire input_sequence | [1] |
| Docstring | Segment the input sequence into smaller chunks that fit within the max token limit. | [1] |
| Algorithm | sequential chunking | [1] |
| Complexity | linear in input length | [1] |
| Deterministic | true | [1] |
| Docstring Param Tag | :param input_sequence: | [1] |
| Docstring Return Tag | :return: | [1] |
| Return Value of | Handle Token Overflow | [1] |
| Enforces | non-overlapping segments | [1] |
| Terminates | guaranteed | [1] |
| Iteration Count | ceil(len/max_tokens) | [1] |
| Algorithmic Pattern | sliding window | [1] |
| Takes Parameter | Test Data | [2] |
| Applied to | Test Data | [2] |
| Belongs to | Context Window Manager | [4] |
| Docstring Param | input_sequence: The input sequence to be segmented. | [5] |
| Docstring Return | List of segmented input sequences. | [5] |
| Loop Condition | start_index < len(input_sequence) | [5] |
| Updates | start_index | [5] |
| Slice Operation | input_sequence[start_index:end_index] | [5] |
| Purpose | Segment input sequence | [5] |
| Returns Variable | segments | [5] |
| Creates Overlap | true | [5] |
| Segment Size | Max Tokens | [5] |
| Segment Overlap | Overlap | [5] |
| Boundary Check | len(input_sequence) | [5] |
| While Loop | true | [5] |
| Increment Strategy | max_tokens minus overlap | [5] |
| Returns List Type | list | [5] |
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.
References (8)
ctx:claims/beam/1ec9efa8-81e4-43a7-95a4-6621a275f1dd- full textbeam-chunktext/plain1 KB
doc:beam/1ec9efa8-81e4-43a7-95a4-6621a275f1ddShow excerpt
formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') handler.setFormatter(formatter) self.logger.addHandler(handler) def handle_token_overflow(self, input_sequence): """ …
ctx:claims/beam/9432ba29-9fa1-4542-a509-5e7006311ffd- full textbeam-chunktext/plain1 KB
doc:beam/9432ba29-9fa1-4542-a509-5e7006311ffdShow excerpt
1. **Prepare Test Data**: - Create a diverse set of input sequences that represent typical use cases for your RAG system. - Include both short and long sequences to cover different scenarios. 2. **Define Evaluation Metrics**: - **…
ctx:claims/beam/88d7745a-6366-4f96-a851-9b4f4940ac19ctx:claims/beam/c43109f2-bc4a-4e39-87f2-80d5e710ec8d- full textbeam-chunktext/plain1 KB
doc:beam/c43109f2-bc4a-4e39-87f2-80d5e710ec8dShow excerpt
def process_segment_with_llm(segment): # Placeholder function to simulate LLM processing return f"Processed {segment}" # Example usage if __name__ == "__main__": max_tokens = 100 # Example max token limit overlap = 20 # E…
ctx:claims/beam/e289c8e8-c08e-4a54-868b-c45f93b97d50- full textbeam-chunktext/plain1 KB
doc:beam/e289c8e8-c08e-4a54-868b-c45f93b97d50Show excerpt
self.max_tokens = max_tokens self.overlap = overlap self.logger = logging.getLogger(__name__) self.logger.setLevel(logging.INFO) handler = logging.StreamHandler() formatter = logging.Formatter…
ctx:claims/beam/5a056a29-8f11-4c53-8a18-77bdf8527f9a- full textbeam-chunktext/plain1 KB
doc:beam/5a056a29-8f11-4c53-8a18-77bdf8527f9aShow excerpt
### Summary - **Segmentation**: Ensures input sequences are split into manageable chunks. - **Caching**: Avoids redundant computations by storing and reusing results. - **Logging**: Tracks important events and helps with debugging. By imp…
ctx:claims/beam/9609541d-bd4d-46d3-bd0e-8c3f8f8ddeb9- full textbeam-chunktext/plain1 KB
doc:beam/9609541d-bd4d-46d3-bd0e-8c3f8f8ddeb9Show excerpt
### Explanation 1. **Initialization**: - Initialize `max_tokens`, `cache_size`, and `overlap`. - Use `OrderedDict` for caching to maintain LRU behavior. - Set up logging to track important events. 2. **Segmentation**: - The `s…
ctx:claims/beam/0d778d3d-86d2-4e66-b864-c688d77dde22- full textbeam-chunktext/plain1 KB
doc:beam/0d778d3d-86d2-4e66-b864-c688d77dde22Show excerpt
def add_token(self, token): self.tokens.append(token) self.token_count += 1 def get_context(self): if self.token_count in self.cache: return self.cache[self.token_count] context = list(s…
See also
- Method
- Token Overflow Handler
- While Loop
- Handle Token Overflow
- Segmented Inputs
- Test Data
- Context Window Manager
- List of Segments
- Segments List
- Start Index
- Max Tokens
- Overlap
- Segments
- Function
- Input Sequence
- Token Overflow Solution
- Method
- Segmentation System
- Algorithm
- Start Index
- Input Data
- Window Size
- I
- Window Size Minus Overlap
- Get Embeddings
- Len Function
- Overlapping Windows
- Len Function on Input Data
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