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11 changed files with 1 additions and 241 deletions

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# automat akceptuje dwa napisy - "aaaa" i "a" powielone 4038 razy
0 1 a 0 1 a
1 2 a 1 2 a
2 3 a 2 3 a

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import pandas as pd
import os
import sys
import random
class Automat:
def __init__(self, df: pd.DataFrame, end_states: list):
self._df = df
self._end_states = end_states
def _consume_character(self, state: int, char: str):
filter = (self._df[0] == state) & (self._df[2] == char)
matching_rows = self._df[filter]
if matching_rows.empty:
return None
end_states = matching_rows.iloc[:,1].tolist()
return random.choice(end_states)
def consume_word(self, word: str):
prev_state = 0
state = 0
for char in word:
prev_state = state
state = self._consume_character(state, char)
if state is None:
return prev_state in self._end_states
return state in self._end_states
def create_automat_from_file(file_path: str):
automat_df = pd.read_csv(file_path, sep='\t', header=None)
end_states_condition = (automat_df[1].isnull()) & (automat_df[2].isnull())
end_states_df = automat_df[end_states_condition]
end_states = end_states_df.iloc[:,0].tolist()
automat_df = automat_df[~end_states_condition]
automat_df[2] = automat_df[2].astype(str)
return Automat(automat_df, end_states)
automat_path = os.path.join(os.path.dirname(__file__), 'test1.arg')
automat = create_automat_from_file(automat_path)
test_path = os.path.join(os.path.dirname(__file__), 'test1.in')
results = []
with open(test_path, 'r') as f:
for line in f:
results.append('YES' if automat.consume_word(line.strip()) else 'NO')
out_path = os.path.join(os.path.dirname(__file__), 'test1.out')
with open(out_path, 'w') as f:
for result in results:
f.write(result + '\n')

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NO
YES
NO
NO
NO
NO
NO
NO
NO

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import pandas as pd
import os
import sys
import random
class Automat:
def __init__(self, df: pd.DataFrame, end_states: list):
self._df = df
self._end_states = end_states
def _consume_character(self, state: int, char: str):
filter = (self._df[0] == state) & (self._df[2] == char)
matching_rows = self._df[filter]
if matching_rows.empty:
return None
end_states = matching_rows.iloc[:,1].tolist()
return random.choice(end_states)
def consume_word(self, word: str):
prev_state = 0
state = 0
for char in word:
prev_state = state
state = self._consume_character(state, char)
if state is None:
return prev_state in self._end_states
return state in self._end_states
def create_automat_from_file(file_path: str):
automat_df = pd.read_csv(file_path, sep=' ', header=None)
end_states_condition = (automat_df[1].isnull()) & (automat_df[2].isnull())
end_states_df = automat_df[end_states_condition]
end_states = end_states_df.iloc[:,0].tolist()
automat_df = automat_df[~end_states_condition]
automat_df[2] = automat_df[2].astype(str)
return Automat(automat_df, end_states)
automat_path = os.path.join(os.path.dirname(__file__), 'test.arg')
automat = create_automat_from_file(automat_path)
test_path = os.path.join(os.path.dirname(__file__), 'test.in')
txt = input('Write valid input: ')
while txt != 'exit':
print('YES' if automat.consume_word(txt) else 'NO')
txt = input('Write valid input: ')

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0 1 a
0 1 b
0 1 c
1 2 b
2

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YES
YES
NO
NO
YES
NO

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@ -1,46 +0,0 @@
import pandas as pd
import os
import sys
import random
class Automat:
def __init__(self, df: pd.DataFrame, end_states: list):
self._df = df
self._end_states = end_states
def _consume_character(self, state: int, char: str):
filter = (self._df[0] == state) & (self._df[2] == char)
matching_rows = self._df[filter]
if matching_rows.empty:
return None
end_states = matching_rows.iloc[:,1].tolist()
return random.choice(end_states)
def consume_word(self, word: str):
prev_state = 0
state = 0
for char in word:
prev_state = state
state = self._consume_character(state, char)
if state is None:
return prev_state in self._end_states
return state in self._end_states
def create_automat_from_file(file_path: str):
automat_df = pd.read_csv(file_path, sep=' ', header=None)
end_states_condition = (automat_df[1].isnull()) & (automat_df[2].isnull())
end_states_df = automat_df[end_states_condition]
end_states = end_states_df.iloc[:,0].tolist()
automat_df = automat_df[~end_states_condition]
automat_df[2] = automat_df[2].astype(str)
return Automat(automat_df, end_states)
automat_path = os.path.join(os.path.dirname(__file__), 'test.arg')
automat = create_automat_from_file(automat_path)
txt = input('Write valid input: ')
while txt != 'exit':
print('YES' if automat.consume_word(txt) else 'NO')
txt = input('Write valid input: ')

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@ -1,6 +0,0 @@
0 0 a
0 0 b
0 0 c
0 1 a
1 2 b
2

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NO
NO
NO
NO
YES
NO

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@ -1,46 +0,0 @@
import pandas as pd
import os
import sys
import random
class Automat:
def __init__(self, df: pd.DataFrame, end_states: list):
self._df = df
self._end_states = end_states
def _consume_character(self, state: int, char: str):
filter = (self._df[0] == state) & (self._df[2] == char)
matching_rows = self._df[filter]
if matching_rows.empty:
return None
end_states = matching_rows.iloc[:,1].tolist()
return random.choice(end_states)
def consume_word(self, word: str):
prev_state = 0
state = 0
for char in word:
prev_state = state
state = self._consume_character(state, char)
if state is None:
return prev_state in self._end_states
return state in self._end_states
def create_automat_from_file(file_path: str):
automat_df = pd.read_csv(file_path, sep=' ', header=None)
end_states_condition = (automat_df[1].isnull()) & (automat_df[2].isnull())
end_states_df = automat_df[end_states_condition]
end_states = end_states_df.iloc[:,0].tolist()
automat_df = automat_df[~end_states_condition]
automat_df[2] = automat_df[2].astype(str)
return Automat(automat_df, end_states)
automat_path = os.path.join(os.path.dirname(__file__), 'test.arg')
automat = create_automat_from_file(automat_path)
txt = input('Write valid input: ')
while txt != 'exit':
print('YES' if automat.consume_word(txt) else 'NO')
txt = input('Write valid input: ')

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0 0 a
0 0 b
0 0 c
0 1 a
1 1 a
1 1 b
1 1 c
1 2 b
2 2 a
2 2 b
2 2 c
2 3 c
3