def demo_discrete_path_sampling():
import EnglishModel
initial_state = 'a'
terminal_state = 'b'
states = 'abcdefghijklmnopqrstuvwxyz '
path_length = 10
transition_matrix = EnglishModel.get_transition_matrix()
path = get_discrete_path_sample(initial_state, terminal_state, states, path_length, transition_matrix)
print ''.join(path)
def get_form():
"""
@return: the body of a form
"""
# define the default transition matrix
dictionary_rate_matrix = EnglishModel.get_transition_matrix()
labels = list(sorted(set(a for a, b in dictionary_rate_matrix)))
T = MatrixUtil.dict_to_row_major(dictionary_rate_matrix, labels, labels)
T = np.array(T)
form_objects = [
Form.Matrix('matrix', 'transition matrix',
T, MatrixUtil.assert_transition_matrix)]
return form_objects
def get_form():
"""
@return: the body of a form
"""
# define the default transition matrix
dictionary_rate_matrix = EnglishModel.get_transition_matrix()
labels = list(sorted(set(a for a, b in dictionary_rate_matrix)))
T = MatrixUtil.dict_to_row_major(dictionary_rate_matrix, labels, labels)
T = np.array(T)
form_objects = [
Form.Matrix('matrix', 'transition matrix', T,
MatrixUtil.assert_transition_matrix)
]
return form_objects
def get_form():
"""
@return: the body of a form
"""
# define the default matrix lines
dictionary_rate_matrix = EnglishModel.get_transition_matrix()
labels = list(sorted(set(a for a, b in dictionary_rate_matrix)))
T = MatrixUtil.dict_to_row_major(dictionary_rate_matrix, labels, labels)
T = np.array(T)
# define the form objects
form_objects = [
Form.Matrix('matrix', 'matrix', T),
Form.Integer('maxcategories', 'maximum number of categories',
5, low=2)]
return form_objects
def get_form():
"""
@return: the body of a form
"""
# define the default transition matrix
dictionary_rate_matrix = EnglishModel.get_transition_matrix()
labels = list(sorted(set(a for a, b in dictionary_rate_matrix)))
T = MatrixUtil.dict_to_row_major(dictionary_rate_matrix, labels, labels)
T = np.array(T)
# define the form objects
form_objects = [
Form.Matrix("matrix", "transition matrix", T, MatrixUtil.assert_transition_matrix),
Form.SingleLine("first", "first letter", "a"),
Form.SingleLine("last", "last letter", "b"),
Form.Integer("count", "character count", 10, low=1, high=80),
]
return form_objects
def get_form():
"""
@return: the body of a form
"""
# define the default transition matrix
dictionary_rate_matrix = EnglishModel.get_transition_matrix()
labels = list(sorted(set(a for a, b in dictionary_rate_matrix)))
T = MatrixUtil.dict_to_row_major(dictionary_rate_matrix, labels, labels)
T = np.array(T)
# define the form objects
form_objects = [
Form.Matrix('matrix', 'transition matrix', T,
MatrixUtil.assert_transition_matrix),
Form.SingleLine('first', 'first letter', 'a'),
Form.SingleLine('last', 'last letter', 'b'),
Form.Integer('count', 'character count', 10, low=1, high=80)
]
return form_objects
def get_response_content(fs):
# define the states using the default transition matrix
default_transition_matrix = EnglishModel.get_transition_matrix()
states = list(sorted(set(a for a, b in default_transition_matrix)))
# read the constraints from the form data
if fs.first not in states:
raise HandlingError("invalid first letter")
if fs.last not in states:
raise HandlingError("invalid last letter")
if fs.count == 1 and fs.first != fs.last:
msg_a = "if a single letter is to be simulated "
msg_b = "then the first letter must be the same as the last letter."
raise HandlingError(msg_a + msg_b)
# read the transition matrix from the form data
T = fs.matrix
if T.shape[0] != len(states):
msg = "expected the transition matrix to have %d lines" % len(states)
raise HandlingError(msg)
matrix = MatrixUtil.row_major_to_dict(T.tolist(), states, states)
# simulate the path
path = PathSampler.get_discrete_path_sample(fs.first, fs.last, states, fs.count, matrix)
# show the simulated path in convenient text form
return "".join(path) + "\n"
def get_response_content(fs):
# define the states using the default transition matrix
default_transition_matrix = EnglishModel.get_transition_matrix()
states = list(sorted(set(a for a, b in default_transition_matrix)))
# read the constraints from the form data
if fs.first not in states:
raise HandlingError('invalid first letter')
if fs.last not in states:
raise HandlingError('invalid last letter')
if fs.count == 1 and fs.first != fs.last:
msg_a = 'if a single letter is to be simulated '
msg_b = 'then the first letter must be the same as the last letter.'
raise HandlingError(msg_a + msg_b)
# read the transition matrix from the form data
T = fs.matrix
if T.shape[0] != len(states):
msg = 'expected the transition matrix to have %d lines' % len(states)
raise HandlingError(msg)
matrix = MatrixUtil.row_major_to_dict(T.tolist(), states, states)
# simulate the path
path = PathSampler.get_discrete_path_sample(fs.first, fs.last, states,
fs.count, matrix)
# show the simulated path in convenient text form
return ''.join(path) + '\n'