| Server IP : 54.37.205.81 / Your IP : 216.73.216.76 Web Server : nginx/1.22.1 System : Linux vps-249481fa 6.1.0-50-cloud-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.176-1 (2026-07-02) x86_64 User : debian ( 1000) PHP Version : 8.2.32 Disable Function : NONE MySQL : OFF | cURL : ON | WGET : ON | Perl : ON | Python : OFF | Sudo : ON | Pkexec : OFF Directory : /lib/python3/dist-packages/lunr/ |
Upload File : |
class TokenSet:
"""
A token set is used to store the unique list of all tokens
within an index. Token sets are also used to represent an
incoming query to the index, this query token set and index
token set are then intersected to find which tokens to look
up in the inverted index.
A token set can hold multiple tokens, as in the case of the
index token set, or it can hold a single token as in the
case of a simple query token set.
Additionally token sets are used to perform wildcard matching.
Leading, contained and trailing wildcards are supported, and
from this edit distance matching can also be provided.
Token sets are implemented as a minimal finite state automata,
where both common prefixes and suffixes are shared between tokens.
This helps to reduce the space used for storing the token set.
TODO: consider https://github.com/glyph/automat
"""
_next_id = 1
def __init__(self):
self.final = False
self.edges = {}
self.id = self._next_id
self.__class__._next_id += 1
def __str__(self):
try:
return self._string
except AttributeError:
pass
string = "1" if self.final else "0"
for label in sorted(list(self.edges.keys())):
node = self.edges[label]
try:
node_id = str(node.id)
except AttributeError:
# TODO: JS seems to rely on undefined for the id attribute?
node_id = ""
string = string + label + node_id
return string
def __repr__(self):
return '<TokenSet "{}">'.format(str(self))
@classmethod
def from_string(self, string):
"""Creates a TokenSet from a string.
The string may contain one or more wildcard characters (*) that will
allow wildcard matching when intersecting with another TokenSet
"""
node = TokenSet()
root = node
# Iterates throough all characters in the passed string appending
# a node for each character.
# When a wildcard character is found then a self referencing edge
# is introduced to continually match any number of characters
for i, char in enumerate(string):
final = i == len(string) - 1
if char == "*":
node.edges[char] = node
node.final = final
else:
next_ = TokenSet()
next_.final = final
node.edges[char] = next_
node = next_
return root
@classmethod
def from_fuzzy_string(cls, string, edit_distance):
"""Creates a token set representing a single string with a specified
edit distance.
Insertions, deletions, substitutions and transpositions are each
treated as an edit distance of 1.
Increasing the allowed edit distance will have a dramatic impact
on the performance of both creating and intersecting these TokenSets.
It is advised to keep the edit distance less than 3.
"""
root = TokenSet()
stack = [{"node": root, "edits_remaining": edit_distance, "string": string}]
while stack:
frame = stack.pop()
# no edit
if len(frame["string"]) > 0:
char = frame["string"][0]
no_edit_node = None
if char in frame["node"].edges:
no_edit_node = frame["node"].edges[char]
else:
no_edit_node = TokenSet()
frame["node"].edges[char] = no_edit_node
if len(frame["string"]) == 1:
no_edit_node.final = True
stack.append(
{
"node": no_edit_node,
"edits_remaining": frame["edits_remaining"],
"string": frame["string"][1:],
}
)
if frame["edits_remaining"] == 0:
continue
# insertion, can only do insertion if there are edits remaining
if "*" in frame["node"].edges:
insertion_node = frame["node"].edges["*"]
else:
insertion_node = TokenSet()
frame["node"].edges["*"] = insertion_node
if len(frame["string"]) == 0:
insertion_node.final = True
stack.append(
{
"node": insertion_node,
"edits_remaining": frame["edits_remaining"] - 1,
"string": frame["string"],
}
)
# deletion, can only do a deletion if we have enough edits
# remaining and if there are characters left to delete in the string
if len(frame["string"]) > 1:
stack.append(
{
"node": frame["node"],
"edits_remaining": frame["edits_remaining"] - 1,
"string": frame["string"][1:],
}
)
# deletion, just removing the last character of the string
if len(frame["string"]) == 1:
frame["node"].final = True
# substitution, can only do a substitution if we have enough edits
# remaining and there are characters left to substitute
if len(frame["string"]) >= 1:
if "*" in frame["node"].edges:
substitution_node = frame["node"].edges["*"]
else:
substitution_node = TokenSet()
frame["node"].edges["*"] = substitution_node
if len(frame["string"]) == 1:
substitution_node.final = True
stack.append(
{
"node": substitution_node,
"edits_remaining": frame["edits_remaining"] - 1,
"string": frame["string"][1:],
}
)
# transposition, can only do a transposition if there are edits
# remaining and there are enough characters to transpose
if frame["edits_remaining"] and len(frame["string"]) > 1:
char_a = frame["string"][0]
char_b = frame["string"][1]
transpose_node = None
if char_b in frame["node"].edges:
transpose_node = frame["node"].edges[char_b]
else:
transpose_node = TokenSet()
frame["node"].edges[char_b] = transpose_node
if len(frame["string"]) == 1:
transpose_node.final = True
stack.append(
{
"node": transpose_node,
"edits_remaining": frame["edits_remaining"] - 1,
"string": char_a + frame["string"][2:],
}
)
return root
@classmethod
def from_list(cls, list_of_words):
from lunr.token_set_builder import TokenSetBuilder
builder = TokenSetBuilder()
for word in list_of_words:
builder.insert(word)
builder.finish()
return builder.root
@classmethod
def from_clause(cls, clause):
if clause.edit_distance:
return cls.from_fuzzy_string(clause.term, clause.edit_distance)
else:
return cls.from_string(clause.term)
def to_list(self):
words = []
stack = [{"prefix": "", "node": self}]
while stack:
frame = stack.pop()
if frame["node"].final:
words.append(frame["prefix"])
for edge in frame["node"].edges.keys():
stack.append(
{
"prefix": frame["prefix"] + str(edge),
"node": frame["node"].edges[edge],
}
)
return words
def intersect(self, other):
"""Returns a new TokenSet that is the intersection of this TokenSet
and the passed TokenSet.
This intersection will take into account any wildcards contained within
the TokenSet.
"""
output = TokenSet()
stack = [{"node": self, "q_node": other, "output": output}]
while stack:
frame = stack.pop()
for q_edge in frame["q_node"].edges.keys():
for n_edge in frame["node"].edges.keys():
if n_edge == q_edge or q_edge == "*":
node = frame["node"].edges[n_edge]
q_node = frame["q_node"].edges[q_edge]
final = node.final and q_node.final
next_ = None
if n_edge in frame["output"].edges:
next_ = frame["output"].edges[n_edge]
next_.final = next_.final or final
else:
next_ = TokenSet()
next_.final = final
frame["output"].edges[n_edge] = next_
stack.append({"node": node, "q_node": q_node, "output": next_})
return output