def DFSIterative(vertex: Vertex, queue: BasicQueue, cache: VectorArray,
invertedVertexes: VectorArray):
currentVertex = vertex
vertex.passed = True
queue.enqueue(vertex.index)
stack = BasicStack()
stack.push(Node(None))
stack.push(Node(currentVertex.index))
cache.add(vertex.index)
while True:
for bindedVertex in currentVertex.bindedVertexes:
if cache.getIndexByValue(bindedVertex.index) is not None:
continue
else:
cache.add(bindedVertex.index)
queue.enqueue(bindedVertex.index)
stack.push(Node(bindedVertex.index))
bindedVertex.passed = True
stackValue = stack.pop().getItem()
if stackValue is None:
return
currentVertex = invertedVertexes[stackValue]
class AdjacencyVector:
def __init__(self, rows_count: int):
self.vector = VectorArray(rows_count)
for i in range(rows_count):
self.vector.add(VectorArray(rows_count))
def bind(self, slaveVertexIndex: int, masterVertexIndex: int):
self.vector.get(masterVertexIndex).add(slaveVertexIndex)
class AdjacencyVector:
def __init__(self, rows_count: int):
self.vector = VectorArray(rows_count)
for i in range(rows_count):
self.vector.add(VectorArray(rows_count))
def bind(self, slaveVertex: Vertex, masterVertex: Vertex, weight: int):
self.vector.get(masterVertex.index).add({
'slaveVertex': slaveVertex,
'masterVertex': masterVertex,
'weight': weight
})
def put(self, key, data):
hashDuplicated = False
collisionInfo = None
hashedKey = self.hashFunction(key)
if self.data[hashedKey] is None:
self.data[hashedKey] = VectorArray()
else:
hashDuplicated = True
collisionInfo = {
'key': str(key),
'hashedKey': str(hashedKey),
'before': str(self.data[hashedKey].getAll())
}
item = self.data[hashedKey].getByKey(key)
if item is None:
self.data[hashedKey].add({'key': key, 'value': data})
else:
self.data[hashedKey].replace({
'key': key,
'value': data
}, self.data[hashedKey].getIndexByItem(item))
if hashDuplicated:
collisionInfo['after'] = str(self.data[hashedKey].getAll())
self.collisions.append(collisionInfo)
def get_knights(self, color):
figures = VectorArray(2)
if color == 'w':
figure_code = FiguresEnum.WHITE_KNIGHT.value
else:
figure_code = FiguresEnum.BLACK_KNIGHT.value
for i in range(self._figures.rows_size()):
row = self._figures.get_row(i)
for j in range(row.get_memory_count()):
figure = row.get(j)
if figure is not None and figure.code == figure_code:
figures.add(figure)
return figures
def __init__(self, rows_count: int = None, vector: int = None):
self._array = SingleArray()
self._vector = vector if vector else 10
self._size = 0
self._rows_size = 0
if rows_count is not None:
for i in range(rows_count):
self._array.add(VectorArray(self._vector))
self._rows_size += 1
def makeVertexesArray(vertexIndexes: [], adjacencyVector: AdjacencyVector):
vertexes = VectorArray(len(vertexIndexes))
for masterVertexIndex, slaveVIndexesArr in enumerate(vertexIndexes):
masterVertex = vertexes[masterVertexIndex]
if masterVertex is None:
masterVertex = Vertex(masterVertexIndex)
vertexes.replace(masterVertex, masterVertexIndex)
for slaveVertexIndex in slaveVIndexesArr:
slaveVertex = vertexes[slaveVertexIndex]
if slaveVertex is None:
slaveVertex = Vertex(slaveVertexIndex)
vertexes.replace(slaveVertex, slaveVertexIndex)
masterVertex.addBindedVertex(slaveVertex)
adjacencyVector.bind(slaveVertex.index, masterVertex.index)
vertexes.clear_unused_memory()
return vertexes
class AdjacencyVector:
def __init__(self, rows_count: int):
self.vector = VectorArray(rows_count)
for i in range(rows_count):
self.vector.add(SingleArray())
def bind(self, slaveVertexIndex: int, masterVertexIndex: int):
self.vector.get(masterVertexIndex).add(slaveVertexIndex)
def getInvertedVector(self):
invertedVector = AdjacencyVector(self.vector.size())
for rowIndex in range(self.vector.size()):
row = self.vector.get(rowIndex)
for colIndex in range(row.size()):
colVertexIndex = row.get(colIndex)
invertedVector.bind(rowIndex, colVertexIndex)
return invertedVector
def __init__(self, rows_count: int):
self.vector = VectorArray(rows_count)
for i in range(rows_count):
self.vector.add(VectorArray(rows_count))
def cosarayuIterative(vertexIndexes: []):
adjacencyVector = makeAdjacencyVector(vertexIndexes)
vertexes = makeVertexesArray(vertexIndexes, adjacencyVector)
invertedVector = adjacencyVector.getInvertedVector()
invertedVertexes = deepcopy(vertexes)
for rowVertexIndex, rowBindedVertexIndexes in enumerate(
invertedVector.vector):
invertedVertexes[rowVertexIndex].clearBindedIndexes()
for bindedVertexIndex in rowBindedVertexIndexes:
invertedVertexes[rowVertexIndex].addBindedVertex(
invertedVertexes[bindedVertexIndex])
components = Dictionary()
compVertexesQueue = BasicQueue()
compVertexesStack = BasicStack()
invertedMatrix = adjacencyVector.getInvertedVector()
for rowVertexIndex, rowBindedVertexIndexes in enumerate(
invertedMatrix.vector):
invertedVertexes[rowVertexIndex].clearBindedIndexes()
for bindedVertexIndex in rowBindedVertexIndexes:
invertedVertexes[rowVertexIndex].addBindedVertex(
invertedVertexes[bindedVertexIndex])
invertedVertexes[0].passed = True
cache = VectorArray()
for rowVertexIndex, rowBindedVertexIndexes in enumerate(
invertedMatrix.vector):
indexCachedVertex = cache.getIndexByValue(rowVertexIndex)
if indexCachedVertex is not None:
continue
cache.add(invertedVertexes[rowVertexIndex].index)
compVertexesQueue.enqueue(rowVertexIndex)
for vertexIndex in rowBindedVertexIndexes:
cachedVertex = cache.getIndexByValue(vertexIndex)
if cachedVertex is not None:
continue
vertex = invertedVertexes[vertexIndex]
if vertex.passed is False:
DFSIterative(vertex, compVertexesQueue, cache,
invertedVertexes)
while not compVertexesQueue.isEmpty():
compVertexesStack.push(compVertexesQueue.dequeue())
component_index = 0
cache = SingleArray()
while not compVertexesStack.isEmpty():
vertexIndex = compVertexesStack.pop()
if components[vertexIndex] is None:
DFS2Iterative(vertexIndex, components, component_index, vertexes,
cache)
component_index += 1
return components.get_all()
def test_vector_array(self):
vectorArray = VectorArray()
for i in range(30):
vectorArray.add(i)
print(vectorArray.get(15))
print(vectorArray.size())
vectorArray.insert('test', 15)
print(vectorArray.get(15))
print(vectorArray.size())
print(vectorArray.remove(15))
print(vectorArray.get(15))
print(vectorArray.size())
def __resize_insert(self):
if self._array.size() == 0 or self._array.get(
self._array.size() - 1).size() == self._vector:
self._array.add(VectorArray(self._vector))
self._rows_size += 1
def __resize_replace(self):
if self.size() == self._array.size() * self._vector:
self._array.add(VectorArray(self._vector))
self._rows_size += 1
def __str__(self):
table_figures_codes = VectorArray(8)
figures = self.board.get_figures()
result_parts = VectorArray(6)
for i in range(7, -1, -1):
figures_codes_row = VectorArray(8)
empty_cells_count = 0
figures_row = figures.get_row(i)
for j in range(figures_row.get_memory_count()):
figures_col = figures_row.get(j, None)
if figures_col is not None:
if empty_cells_count > 0:
figures_codes_row.add(str(empty_cells_count))
empty_cells_count = 0
figures_codes_row.add(figures_col.code)
else:
empty_cells_count += 1
if empty_cells_count > 0:
figures_codes_row.add(str(empty_cells_count))
table_figures_codes.add(
figures_codes_row.remove_empty_elements().join())
result_parts.add(table_figures_codes.join('/'))
result_parts.add(self.move_order)
result_parts.add(self.castling)
result_parts.add(self.pawn_taking_field)
result_parts.add(str(self.half_move_count))
result_parts.add(str(self.move_count))
return result_parts.join(' ')
def __init__(self, moves: str = None):
self._moves = VectorArray()
self._figure_moves = {}
if moves is not None:
self.add_multiple_moves(moves)
class MoveSorter():
def __init__(self, moves: str = None):
self._moves = VectorArray()
self._figure_moves = {}
if moves is not None:
self.add_multiple_moves(moves)
def add_multiple_moves(self, moves: str):
moves_count = 0
for line in moves.splitlines():
if moves_count == 0:
moves_count = line
self._moves.set_vector(int(line))
else:
self._moves.add(line)
self._moves.clear_unused_memory()
def add_move(self, move: str):
self._moves.add(move)
def sort(self):
self._moves.alphabetical_sort()
def print_square_moves_table(self):
elems_begin_with_count = {
'a': 0,
'b': 0,
'c': 0,
'd': 0,
'e': 0,
'f': 0,
'g': 0,
'h': 0
}
for elem_index in range(self._moves.size()):
elem = self._moves.get(elem_index)
for i in ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h']:
if isinstance(elem, str) and elem[0] == i:
elems_begin_with_count[i] += 1
min_len = 0
for k, v in elems_begin_with_count.items():
if v != 0:
if min_len == 0:
min_len = v
else:
if min_len > v:
min_len = v
res = str(self._moves.size()) + "\n"
str_array = MatrixArray(None, min_len)
for elem_index in range(self._moves.size() + 1):
elem = self._moves.get(elem_index)
if elem_index > 0 and elem_index % min_len == 0:
res += str_array.get_row(int(elem_index / min_len) -
1).join(' ')
res += "\n"
str_array.add(elem)
return res[:-1]