levenshtein_distance

as donto believed on

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

levenshtein_distance is Calculate Levenshtein distance between two tokens..

96 facts·63 predicates·7 sources·19 in dispute

Mostly:returns(7), rdf:type(6), has parameter(4)

Inbound mentions (14)

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.

`contains`Contains(3)

Code Structureex:codeStructure
Example Implementationex:example-implementation
Source Documentex:source-document

`appliedTo`Applied to(2)

Lru Cacheex:lru-cache
Lru Cacheex:lru_cache

`containsFunction`Contains Function(2)

Example Implementationex:example-implementation
Python Code Blockex:python-code-block

`usedIn`Used in(2)

Algorithmic Patternex:algorithmicPattern
Dynamic Programmingex:dynamic-programming

`composes`Composes(1)

Spelling Correction Functionex:spelling-correction-function

`computedBy`Computed by(1)

Edit Distanceex:editDistance

`hasComponent`Has Component(1)

Optimizationex:optimization

`inverseOf`Inverse of(1)

Optimizationex:optimization

`usedBy`Used by(1)

Dictionaryex:dictionary

Other facts (92)

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.

92 facts

Predicate	Value	Ref
Returns	distance	[1]
Returns	Integer Distance	[1]
Returns	Distance Value	[3]
Returns	Distance Value	[4]
Returns	dp[len1][len2]	[6]
Returns	Integer Distance	[7]
Returns	Dp[len1][len2]	[7]
Rdf:type	Function	[1]
Rdf:type	Distance Function	[2]
Rdf:type	Algorithm Function	[3]
Rdf:type	Function	[5]
Rdf:type	Function	[6]
Rdf:type	Function	[7]
Has Parameter	Token1 Parameter	[3]
Has Parameter	Token2 Parameter	[3]
Has Parameter	token1	[7]
Has Parameter	token2	[7]
Parameter	token1	[1]
Parameter	token2	[1]
Purpose	calculate-levenshtein-distance	[1]
Purpose	String Distance Calculation	[3]
Computes Metric	String Difference	[1]
Computes Metric	Character Difference Count	[1]
Compares	Character Pairs	[1]
Compares	Token Characters	[7]
Initializes	Counter Variable	[1]
Initializes	Dp Table Row Zero	[7]
Accepts	String Parameter 1	[1]
Accepts	String Parameter 2	[1]
Defines Variables	Len1 Variable	[3]
Defines Variables	Len2 Variable	[3]
Has Loop	I Loop	[3]
Has Loop	J Loop	[3]
Has Docstring	Calculate Levenshtein distance between two tokens	[3]
Has Docstring	Calculate Levenshtein distance between two tokens.	[4]
Contains Loop	Loop I	[4]
Contains Loop	Loop J	[4]
Contains Assignment	Dp I 0 Assignment	[4]
Contains Assignment	Dp 0 J Assignment	[4]
Declares Variable	Len1	[4]
Declares Variable	Len2	[4]
Computes	String Edit Distance	[4]
Computes	Minimum Distance	[7]
Uses	Lru Cache	[5]
Uses	Dynamic Programming Table	[7]
Uses Index Arithmetic	I Minus One	[7]
Uses Index Arithmetic	J Minus One	[7]
Local Variable	distance	[1]
Loop Variable	i	[1]
Condition	token1[i] != token2[i]	[1]
Uses Loop	For Loop Over Token1	[1]
Compares Characters	token1-and-token2	[1]
Increments Counter	distance-variable	[1]
Iterates Over	Character Positions	[1]
Updates	Counter Variable	[1]
Uses Greedy Approach	Character by Character Comparison	[1]
Has Limitation	Assumes Equal Length Strings	[1]
Assumes	Left to Right Processing	[1]
Returns Natural Number	Non Negative Integer	[1]
Takes Two Parameters	true	[2]
Comment	Calculate Levenshtein distance between two tokens	[3]
Uses Data Structure	Dp Array	[3]
Algorithm	Dynamic Programming	[3]
Initializes Array	Dp Array	[3]
Has Conditional	Character Equality Check	[3]
Decorated With	Lru Cache Decorator	[4]
Parameters	Token1	[4]
Description	Calculate Levenshtein distance between two tokens.	[4]
Parameter Count	2	[4]
Uses Decorator	Lru Cache	[4]
Implements	Dynamic Programming Algorithm	[4]
Belongs to	Optimization	[5]
Inverse of	Lru Cache	[5]
Used by	Correct Token Function	[6]
Implementation Detail	nestedLoops	[6]
Uses Conditional Logic	tokenComparison	[6]
Else Branch	distanceCalculation	[6]
Algorithm Type	dynamicProgramming	[6]
Uses Table Initialization	dpArray	[6]
Base Case	tokenMatch	[6]
Recursive Case	distanceRecursion	[6]
Computes Edit Distance	stringSimilarity	[6]
Time Complexity	O(len1*len2)	[6]
Accesses Previous Row	i-1	[6]
Accesses Previous Column	j-1	[6]
Accesses Current Column	j	[6]
Iterates	Nested Loops	[7]
Has Base Case	Dp Row Initialization	[7]
Has Recursive Case	Dp Cell Computation	[7]
Calls Built in	Min Function	[7]
Algorithmic Complexity	O(len1*len2)	[7]
Return Statement	Dp[len1][len2]	[7]

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.

96 undated

—

parameterbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

token1

—

parameterbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

token2

—

purposebeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

calculate-levenshtein-distance

—

localVariablebeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

distance

—

loopVariablebeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

—

conditionbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

token1[i] != token2[i]

—

returnsbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

distance

—

usesLoopbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:for-loop-over-token1

—

comparesCharactersbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

token1-and-token2

—

incrementsCounterbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

distance-variable

—

typebeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:Function

—

labelbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

levenshtein_distance Function

—

computesMetricbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:string-difference

—

computesMetricbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:character-difference-count

—

iteratesOverbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:character-positions

—

comparesbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:character-pairs

—

initializesbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:counter-variable

—

updatesbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:counter-variable

—

acceptsbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:string-parameter-1

—

acceptsbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:string-parameter-2

—

returnsbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:integer-distance

—

usesGreedyApproachbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:character-by-character-comparison

—

hasLimitationbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:assumesEqualLengthStrings

—

assumesbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:left-to-right-processing

—

returnsNaturalNumberbeam/db9e56ce-0f0d-4aea-9603-da32c3ddee59

ex:non-negative-integer

—

typebeam/2b004121-5dcb-4a68-8abd-985feea728a3

ex:DistanceFunction

—

takesTwoParametersbeam/2b004121-5dcb-4a68-8abd-985feea728a3

true

—

typebeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

ex:AlgorithmFunction

—

labelbeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

levenshtein_distance

—

purposebeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

ex:string-distance-calculation

—

hasParameterbeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

ex:token1-parameter

—

hasParameterbeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

ex:token2-parameter

—

returnsbeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

ex:distance-value

—

commentbeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

Calculate Levenshtein distance between two tokens

—

usesDataStructurebeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

ex:dp-array

—

algorithmbeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

ex:dynamic-programming

—

definesVariablesbeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

ex:len1-variable

—

definesVariablesbeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

ex:len2-variable

—

initializesArraybeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

ex:dp-array

—

hasLoopbeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

ex:i-loop

—

hasLoopbeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

ex:j-loop

—

hasConditionalbeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

ex:character-equality-check

—

hasDocstringbeam/249bcb49-fae2-4c6b-b556-95dcedad1b4d

Calculate Levenshtein distance between two tokens

—

decoratedWithbeam/4c76a7b8-eecb-43fe-97db-1faea8229464

ex:lru-cache-decorator

—

parametersbeam/4c76a7b8-eecb-43fe-97db-1faea8229464

ex:token1

—

descriptionbeam/4c76a7b8-eecb-43fe-97db-1faea8229464

Calculate Levenshtein distance between two tokens.

—

parameterCountbeam/4c76a7b8-eecb-43fe-97db-1faea8229464

—

returnsbeam/4c76a7b8-eecb-43fe-97db-1faea8229464

ex:distance-value

—

usesDecoratorbeam/4c76a7b8-eecb-43fe-97db-1faea8229464

ex:lru-cache

—

hasDocstringbeam/4c76a7b8-eecb-43fe-97db-1faea8229464

Calculate Levenshtein distance between two tokens.

—

containsLoopbeam/4c76a7b8-eecb-43fe-97db-1faea8229464

ex:loop-i

—

containsLoopbeam/4c76a7b8-eecb-43fe-97db-1faea8229464

ex:loop-j

—

containsAssignmentbeam/4c76a7b8-eecb-43fe-97db-1faea8229464

ex:dp-i-0-assignment

—

containsAssignmentbeam/4c76a7b8-eecb-43fe-97db-1faea8229464

ex:dp-0-j-assignment

—

declaresVariablebeam/4c76a7b8-eecb-43fe-97db-1faea8229464

ex:len1

—

declaresVariablebeam/4c76a7b8-eecb-43fe-97db-1faea8229464

ex:len2

—

implementsbeam/4c76a7b8-eecb-43fe-97db-1faea8229464

ex:dynamic-programming-algorithm

—

computesbeam/4c76a7b8-eecb-43fe-97db-1faea8229464

ex:string-edit-distance

—

usesbeam/ada1307f-edd6-4e60-b350-09fc894d41b6

ex:lru-cache

—

typebeam/ada1307f-edd6-4e60-b350-09fc894d41b6

ex:Function

—

labelbeam/ada1307f-edd6-4e60-b350-09fc894d41b6

levenshtein_distance

—

belongsTobeam/ada1307f-edd6-4e60-b350-09fc894d41b6

ex:optimization

—

inverseOfbeam/ada1307f-edd6-4e60-b350-09fc894d41b6

ex:lru-cache

—

typebeam/9f9ce915-2928-4815-a4dd-814bb52c1981

ex:Function

—

labelbeam/9f9ce915-2928-4815-a4dd-814bb52c1981

levenshtein_distance

—

usedBybeam/9f9ce915-2928-4815-a4dd-814bb52c1981

ex:correct-token-function

—

implementationDetailbeam/9f9ce915-2928-4815-a4dd-814bb52c1981

nestedLoops

—

usesConditionalLogicbeam/9f9ce915-2928-4815-a4dd-814bb52c1981

tokenComparison

—

elseBranchbeam/9f9ce915-2928-4815-a4dd-814bb52c1981

distanceCalculation

—

returnsbeam/9f9ce915-2928-4815-a4dd-814bb52c1981

dp[len1][len2]

—

algorithmTypebeam/9f9ce915-2928-4815-a4dd-814bb52c1981

dynamicProgramming

—

usesTableInitializationbeam/9f9ce915-2928-4815-a4dd-814bb52c1981

dpArray

—

baseCasebeam/9f9ce915-2928-4815-a4dd-814bb52c1981

tokenMatch

—

recursiveCasebeam/9f9ce915-2928-4815-a4dd-814bb52c1981

distanceRecursion

—

computesEditDistancebeam/9f9ce915-2928-4815-a4dd-814bb52c1981

stringSimilarity

—

timeComplexitybeam/9f9ce915-2928-4815-a4dd-814bb52c1981

O(len1*len2)

—

accessesPreviousRowbeam/9f9ce915-2928-4815-a4dd-814bb52c1981

i-1

—

accessesPreviousColumnbeam/9f9ce915-2928-4815-a4dd-814bb52c1981

j-1

—

accessesCurrentColumnbeam/9f9ce915-2928-4815-a4dd-814bb52c1981

—

typebeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:Function

—

hasParameterbeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

token1

—

hasParameterbeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

token2

—

returnsbeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:integer-distance

—

usesbeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:dynamic-programming-table

—

initializesbeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:dp-table-row-zero

—

iteratesbeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:nested-loops

—

comparesbeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:token-characters

—

computesbeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:minimum-distance

—

hasBaseCasebeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:dp-row-initialization

—

hasRecursiveCasebeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:dp-cell-computation

—

returnsbeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:dp[len1][len2]

—

usesIndexArithmeticbeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:i-minus-one

—

usesIndexArithmeticbeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:j-minus-one

—

callsBuiltInbeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:min-function

—

algorithmicComplexitybeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

O(len1*len2)

—

returnStatementbeam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

ex:dp[len1][len2]

References (7)

7 references

[1]Db9e56ce 0f0d 4aea 9603 Da32c3ddee5925 facts
ctx:claims/beam/db9e56ce-0f0d-4aea-9603-da32c3ddee59
- full textbeam-chunk
  text/plain1 KBdoc:beam/db9e56ce-0f0d-4aea-9603-da32c3ddee59
  Show excerpt
  VALUES (1, CURDATE(), 0.15, 3, 2, 1, 0); ``` ### Benefits - **User Management**: Tracks users who contribute to the correction process. - **Project Management**: Organizes metrics by project. - **Detailed Metrics**: Captures individual co…
[2]2b004121 5dcb 4a68 8abd 985feea728a32 facts
ctx:claims/beam/2b004121-5dcb-4a68-8abd-985feea728a3
- full textbeam-chunk
  text/plain1 KBdoc:beam/2b004121-5dcb-4a68-8abd-985feea728a3
  Show excerpt
  for token_in_dict in dictionary: distance = levenshtein_distance(token, token_in_dict) if distance < min_distance: min_distance = distance closest_token = token_in_dict return closest_token #…
[3]249bcb49 Fae2 4c6b B556 95dcedad1b4d16 facts
ctx:claims/beam/249bcb49-fae2-4c6b-b556-95dcedad1b4d
- full textbeam-chunk
  text/plain1 KBdoc:beam/249bcb49-fae2-4c6b-b556-95dcedad1b4d
  Show excerpt
  - Distribute the workload across multiple cores or nodes. 4. **Batch Processing**: - Batch similar queries together to reduce overhead. - Use bulk operations to minimize the number of individual lookups. 5. **Database Indexing**:…
[4]4c76a7b8 Eecb 43fe 97db 1faea822946415 facts
ctx:claims/beam/4c76a7b8-eecb-43fe-97db-1faea8229464
- full textbeam-chunk
  text/plain1 KBdoc:beam/4c76a7b8-eecb-43fe-97db-1faea8229464
  Show excerpt
  - Utilize multi-threading or asynchronous processing to handle multiple queries in parallel. - Distribute the workload across multiple cores or nodes. 4. **Batch Processing**: - Batch similar queries together to reduce overhead. …
[5]Ada1307f Edd6 4e60 B350 09fc894d41b65 facts
ctx:claims/beam/ada1307f-edd6-4e60-b350-09fc894d41b6
- full textbeam-chunk
  text/plain1 KBdoc:beam/ada1307f-edd6-4e60-b350-09fc894d41b6
  Show excerpt
  - The `levenshtein_distance` function uses `lru_cache` to cache previously computed distances, reducing redundant calculations. 2. **Efficient Tokenization**: - Use `nltk.word_tokenize` for robust tokenization. 3. **Caching**: - …
[6]9f9ce915 2928 4815 A4dd 814bb52c198116 facts
ctx:claims/beam/9f9ce915-2928-4815-a4dd-814bb52c1981
- full textbeam-chunk
  text/plain1 KBdoc:beam/9f9ce915-2928-4815-a4dd-814bb52c1981
  Show excerpt
  for i in range(1, len1 + 1): for j in range(1, len2 + 1): if token1[i - 1] == token2[j - 1]: dp[i][j] = dp[i - 1][j - 1] else: dp[i][j] = 1 + min(dp[i - 1][j], dp[i][j - 1]…
[7]Ffc8abcc 77b2 4a83 8215 F825e433c9b017 facts
ctx:claims/beam/ffc8abcc-77b2-4a83-8215-f825e433c9b0

Keep researching

Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.

levenshtein_distance

Inbound mentions (14)

containsContains(3)

appliedToApplied to(2)

containsFunctionContains Function(2)

usedInUsed in(2)

composesComposes(1)

computedByComputed by(1)

hasComponentHas Component(1)

inverseOfInverse of(1)

usedByUsed by(1)

Other facts (92)

Timeline

References (7)

See also

Keep researching

`contains`Contains(3)

`appliedTo`Applied to(2)

`containsFunction`Contains Function(2)

`usedIn`Used in(2)

`composes`Composes(1)

`computedBy`Computed by(1)

`hasComponent`Has Component(1)

`inverseOf`Inverse of(1)

`usedBy`Used by(1)