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TheAlgorithmsPython/dynamic_programming/word_break.py at master · ashapochka/TheAlgorithmsPython · GitHub
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TheAlgorithmsPython
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dynamic_programming
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word_break.py
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dynamic_programming
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word_break.py
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"""
Author : Alexander Pantyukhin
Date : December 12, 2022
Task:
Given a string and a list of words, return true if the string can be
segmented into a space-separated sequence of one or more words.
Note that the same word may be reused
multiple times in the segmentation.
Implementation notes: Trie + Dynamic programming up -> down.
The Trie will be used to store the words. It will be useful for scanning
available words for the current position in the string.
Leetcode:
https://leetcode.com/problems/word-break/description/
Runtime: O(n * n)
Space: O(n)
"""
import
functools
from
typing
import
Any
def
word_break
(
string
:
str
,
words
:
list
[
str
])
->
bool
:
"""
Return True if numbers have opposite signs False otherwise.
>>> word_break("applepenapple", ["apple","pen"])
True
>>> word_break("catsandog", ["cats","dog","sand","and","cat"])
False
>>> word_break("cars", ["car","ca","rs"])
True
>>> word_break('abc', [])
False
>>> word_break(123, ['a'])
Traceback (most recent call last):
...
ValueError: the string should be not empty string
>>> word_break('', ['a'])
Traceback (most recent call last):
...
ValueError: the string should be not empty string
>>> word_break('abc', [123])
Traceback (most recent call last):
...
ValueError: the words should be a list of non-empty strings
>>> word_break('abc', [''])
Traceback (most recent call last):
...
ValueError: the words should be a list of non-empty strings
"""
# Validation
if
not
isinstance
(
string
,
str
)
or
len
(
string
)
==
0
:
raise
ValueError
(
"the string should be not empty string"
)
if
not
isinstance
(
words
,
list
)
or
not
all
(
isinstance
(
item
,
str
)
and
len
(
item
)
>
0
for
item
in
words
):
raise
ValueError
(
"the words should be a list of non-empty strings"
)
# Build trie
trie
:
dict
[
str
,
Any
]
=
{}
word_keeper_key
=
"WORD_KEEPER"
for
word
in
words
:
trie_node
=
trie
for
c
in
word
:
if
c
not
in
trie_node
:
trie_node
[
c
]
=
{}
trie_node
=
trie_node
[
c
]
trie_node
[
word_keeper_key
]
=
True
len_string
=
len
(
string
)
# Dynamic programming method
@
functools
.
cache
def
is_breakable
(
index
:
int
)
->
bool
:
"""
>>> string = 'a'
>>> is_breakable(1)
True
"""
if
index
==
len_string
:
return
True
trie_node
:
Any
=
trie
for
i
in
range
(
index
,
len_string
):
trie_node
=
trie_node
.
get
(
string
[
i
],
None
)
if
trie_node
is
None
:
return
False
if
trie_node
.
get
(
word_keeper_key
,
False
)
and
is_breakable
(
i
+
1
):
return
True
return
False
return
is_breakable
(
0
)
if
__name__
==
"__main__"
:
import
doctest
doctest
.
testmod
()
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