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molmod/molmod | molmod/graphs.py | Graph.full_match | def full_match(self, other):
"""Find the mapping between vertex indexes in self and other.
This also works on disconnected graphs. Derived classes should just
implement get_vertex_string and get_edge_string to make this method
aware of the different nature of certain vertices. In case molecules,
this would make the algorithm sensitive to atom numbers etc.
"""
# we need normalize subgraphs because these graphs are used as patterns.
graphs0 = [
self.get_subgraph(group, normalize=True)
for group in self.independent_vertices
]
graphs1 = [
other.get_subgraph(group)
for group in other.independent_vertices
]
if len(graphs0) != len(graphs1):
return
matches = []
for graph0 in graphs0:
pattern = EqualPattern(graph0)
found_match = False
for i, graph1 in enumerate(graphs1):
local_matches = list(GraphSearch(pattern)(graph1, one_match=True))
if len(local_matches) == 1:
match = local_matches[0]
# we need to restore the relation between the normalized
# graph0 and its original indexes
old_to_new = OneToOne((
(j, i) for i, j
in enumerate(graph0._old_vertex_indexes)
))
matches.append(match * old_to_new)
del graphs1[i]
found_match = True
break
if not found_match:
return
result = OneToOne()
for match in matches:
result.add_relations(match.forward.items())
return result | python | def full_match(self, other):
"""Find the mapping between vertex indexes in self and other.
This also works on disconnected graphs. Derived classes should just
implement get_vertex_string and get_edge_string to make this method
aware of the different nature of certain vertices. In case molecules,
this would make the algorithm sensitive to atom numbers etc.
"""
# we need normalize subgraphs because these graphs are used as patterns.
graphs0 = [
self.get_subgraph(group, normalize=True)
for group in self.independent_vertices
]
graphs1 = [
other.get_subgraph(group)
for group in other.independent_vertices
]
if len(graphs0) != len(graphs1):
return
matches = []
for graph0 in graphs0:
pattern = EqualPattern(graph0)
found_match = False
for i, graph1 in enumerate(graphs1):
local_matches = list(GraphSearch(pattern)(graph1, one_match=True))
if len(local_matches) == 1:
match = local_matches[0]
# we need to restore the relation between the normalized
# graph0 and its original indexes
old_to_new = OneToOne((
(j, i) for i, j
in enumerate(graph0._old_vertex_indexes)
))
matches.append(match * old_to_new)
del graphs1[i]
found_match = True
break
if not found_match:
return
result = OneToOne()
for match in matches:
result.add_relations(match.forward.items())
return result | [
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This also works on disconnected graphs. Derived classes should just
implement get_vertex_string and get_edge_string to make this method
aware of the different nature of certain vertices. In case molecules,
this would make the algorithm sensitive to atom numbers etc. | [
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] | train | https://github.com/molmod/molmod/blob/a7b5b4364ed514ad4c465856c05b5eda1cb561e0/molmod/graphs.py#L782-L828 |
molmod/molmod | molmod/graphs.py | OneToOne.add_relation | def add_relation(self, source, destination):
"""Add new a relation to the bejection"""
if self.in_sources(source):
if self.forward[source] != destination:
raise ValueError("Source is already in use. Destination does "
"not match.")
else:
raise ValueError("Source-Destination relation already exists.")
elif self.in_destinations(destination):
raise ValueError("Destination is already in use. Source does not "
"match.")
else:
self.forward[source] = destination
self.reverse[destination] = source | python | def add_relation(self, source, destination):
"""Add new a relation to the bejection"""
if self.in_sources(source):
if self.forward[source] != destination:
raise ValueError("Source is already in use. Destination does "
"not match.")
else:
raise ValueError("Source-Destination relation already exists.")
elif self.in_destinations(destination):
raise ValueError("Destination is already in use. Source does not "
"match.")
else:
self.forward[source] = destination
self.reverse[destination] = source | [
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molmod/molmod | molmod/graphs.py | OneToOne.add_relations | def add_relations(self, relations):
"""Add multiple relations to a bijection"""
for source, destination in relations:
self.add_relation(source, destination) | python | def add_relations(self, relations):
"""Add multiple relations to a bijection"""
for source, destination in relations:
self.add_relation(source, destination) | [
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molmod/molmod | molmod/graphs.py | OneToOne.inverse | def inverse(self):
"""Returns the inverse bijection."""
result = self.__class__()
result.forward = copy.copy(self.reverse)
result.reverse = copy.copy(self.forward)
return result | python | def inverse(self):
"""Returns the inverse bijection."""
result = self.__class__()
result.forward = copy.copy(self.reverse)
result.reverse = copy.copy(self.forward)
return result | [
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molmod/molmod | molmod/graphs.py | Match.from_first_relation | def from_first_relation(cls, vertex0, vertex1):
"""Intialize a fresh match based on the first relation"""
result = cls([(vertex0, vertex1)])
result.previous_ends1 = set([vertex1])
return result | python | def from_first_relation(cls, vertex0, vertex1):
"""Intialize a fresh match based on the first relation"""
result = cls([(vertex0, vertex1)])
result.previous_ends1 = set([vertex1])
return result | [
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molmod/molmod | molmod/graphs.py | Match.get_new_edges | def get_new_edges(self, subject_graph):
"""Get new edges from the subject graph for the graph search algorithm
The Graph search algorithm extends the matches iteratively by adding
matching vertices that are one edge further from the starting vertex
at each iteration.
"""
result = []
#print "Match.get_new_edges self.previous_ends1", self.previous_ends1
for vertex in self.previous_ends1:
for neighbor in subject_graph.neighbors[vertex]:
if neighbor not in self.reverse:
result.append((vertex, neighbor))
return result | python | def get_new_edges(self, subject_graph):
"""Get new edges from the subject graph for the graph search algorithm
The Graph search algorithm extends the matches iteratively by adding
matching vertices that are one edge further from the starting vertex
at each iteration.
"""
result = []
#print "Match.get_new_edges self.previous_ends1", self.previous_ends1
for vertex in self.previous_ends1:
for neighbor in subject_graph.neighbors[vertex]:
if neighbor not in self.reverse:
result.append((vertex, neighbor))
return result | [
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molmod/molmod | molmod/graphs.py | Match.copy_with_new_relations | def copy_with_new_relations(self, new_relations):
"""Create a new match object extended with new relations"""
result = self.__class__(self.forward.items())
result.add_relations(new_relations.items())
result.previous_ends1 = set(new_relations.values())
return result | python | def copy_with_new_relations(self, new_relations):
"""Create a new match object extended with new relations"""
result = self.__class__(self.forward.items())
result.add_relations(new_relations.items())
result.previous_ends1 = set(new_relations.values())
return result | [
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molmod/molmod | molmod/graphs.py | CustomPattern._set_pattern_graph | def _set_pattern_graph(self, pattern_graph):
"""Initialize the pattern_graph"""
self.pattern_graph = pattern_graph
self.level_edges = {}
self.level_constraints = {}
self.duplicate_checks = set([])
if pattern_graph is None:
return
if len(pattern_graph.independent_vertices) != 1:
raise ValueError("A pattern_graph must not be a disconnected "
"graph.")
# A) the levels for the incremental pattern matching
ibfe = self.pattern_graph.iter_breadth_first_edges(self.start_vertex)
for edge, distance, constraint in ibfe:
if constraint:
l = self.level_constraints.setdefault(distance-1, [])
else:
l = self.level_edges.setdefault(distance, [])
l.append(edge)
#print "level_edges", self.level_edges
#print "level_constraints", self.level_constraints
# B) The comparisons the should be checked when one wants to avoid
# symmetrically duplicate pattern matches
if self.criteria_sets is not None:
for cycles in pattern_graph.symmetry_cycles:
if len(cycles) > 0:
self.duplicate_checks.add((cycles[0][0], cycles[0][1])) | python | def _set_pattern_graph(self, pattern_graph):
"""Initialize the pattern_graph"""
self.pattern_graph = pattern_graph
self.level_edges = {}
self.level_constraints = {}
self.duplicate_checks = set([])
if pattern_graph is None:
return
if len(pattern_graph.independent_vertices) != 1:
raise ValueError("A pattern_graph must not be a disconnected "
"graph.")
# A) the levels for the incremental pattern matching
ibfe = self.pattern_graph.iter_breadth_first_edges(self.start_vertex)
for edge, distance, constraint in ibfe:
if constraint:
l = self.level_constraints.setdefault(distance-1, [])
else:
l = self.level_edges.setdefault(distance, [])
l.append(edge)
#print "level_edges", self.level_edges
#print "level_constraints", self.level_constraints
# B) The comparisons the should be checked when one wants to avoid
# symmetrically duplicate pattern matches
if self.criteria_sets is not None:
for cycles in pattern_graph.symmetry_cycles:
if len(cycles) > 0:
self.duplicate_checks.add((cycles[0][0], cycles[0][1])) | [
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molmod/molmod | molmod/graphs.py | CustomPattern.iter_initial_relations | def iter_initial_relations(self, subject_graph):
"""Iterate over all valid initial relations for a match"""
vertex0 = self.start_vertex
for vertex1 in range(subject_graph.num_vertices):
if self.compare(vertex0, vertex1, subject_graph):
yield vertex0, vertex1 | python | def iter_initial_relations(self, subject_graph):
"""Iterate over all valid initial relations for a match"""
vertex0 = self.start_vertex
for vertex1 in range(subject_graph.num_vertices):
if self.compare(vertex0, vertex1, subject_graph):
yield vertex0, vertex1 | [
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molmod/molmod | molmod/graphs.py | CustomPattern.get_new_edges | def get_new_edges(self, level):
"""Get new edges from the pattern graph for the graph search algorithm
The level argument denotes the distance of the new edges from the
starting vertex in the pattern graph.
"""
return (
self.level_edges.get(level, []),
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) | python | def get_new_edges(self, level):
"""Get new edges from the pattern graph for the graph search algorithm
The level argument denotes the distance of the new edges from the
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"""
return (
self.level_edges.get(level, []),
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molmod/molmod | molmod/graphs.py | CustomPattern.check_next_match | def check_next_match(self, match, new_relations, subject_graph, one_match):
"""Check if the (onset for a) match can be a valid"""
# only returns true for ecaxtly one set of new_relations from all the
# ones that are symmetrically equivalent
if not (self.criteria_sets is None or one_match):
for check in self.duplicate_checks:
vertex_a = new_relations.get(check[0])
vertex_b = new_relations.get(check[1])
if vertex_a is None and vertex_b is None:
continue # if this pair is completely absent in the new
# relations, it is either completely in the match or it
# is to be matched. So it is either already checked for
# symmetry duplicates, or it will be check in future.
if vertex_a is None:
# maybe vertex_a is in the match and vertex_b is the only
# one in the new relations. try to get vertex_a from the
# match.
vertex_a = match.forward.get(check[0])
if vertex_a is None:
# ok, vertex_a is to be found, don't care about it right
# now. it will be checked in future calls.
continue
elif vertex_b is None:
# maybe vertex_b is in the match and vertex_a is the only
# one in the new relations. try to get vertex_b from the
# match.
vertex_b = match.forward.get(check[1])
if vertex_b is None:
# ok, vertex_b is to be found, don't care about it right
# now. it will be checked in future calls.
continue
if vertex_a > vertex_b:
# Why does this work? The answer is not so easy to explain,
# and certainly not easy to find. if vertex_a > vertex_b, it
# means that there is a symmetry operation that leads to
# an equivalent match where vertex_b < vertex_a. The latter
# match is preferred for as much pairs (vertex_a, vertex_b)
# as possible without rejecting all possible matches. The
# real difficulty is to construct a proper list of
# (vertex_a, vertex_b) pairs that will reject all but one
# matches. I conjecture that this list contains all the
# first two vertices from each normalized symmetry cycle of
# the pattern graph. We need a math guy to do the proof. -- Toon
return False
return True
return True | python | def check_next_match(self, match, new_relations, subject_graph, one_match):
"""Check if the (onset for a) match can be a valid"""
# only returns true for ecaxtly one set of new_relations from all the
# ones that are symmetrically equivalent
if not (self.criteria_sets is None or one_match):
for check in self.duplicate_checks:
vertex_a = new_relations.get(check[0])
vertex_b = new_relations.get(check[1])
if vertex_a is None and vertex_b is None:
continue # if this pair is completely absent in the new
# relations, it is either completely in the match or it
# is to be matched. So it is either already checked for
# symmetry duplicates, or it will be check in future.
if vertex_a is None:
# maybe vertex_a is in the match and vertex_b is the only
# one in the new relations. try to get vertex_a from the
# match.
vertex_a = match.forward.get(check[0])
if vertex_a is None:
# ok, vertex_a is to be found, don't care about it right
# now. it will be checked in future calls.
continue
elif vertex_b is None:
# maybe vertex_b is in the match and vertex_a is the only
# one in the new relations. try to get vertex_b from the
# match.
vertex_b = match.forward.get(check[1])
if vertex_b is None:
# ok, vertex_b is to be found, don't care about it right
# now. it will be checked in future calls.
continue
if vertex_a > vertex_b:
# Why does this work? The answer is not so easy to explain,
# and certainly not easy to find. if vertex_a > vertex_b, it
# means that there is a symmetry operation that leads to
# an equivalent match where vertex_b < vertex_a. The latter
# match is preferred for as much pairs (vertex_a, vertex_b)
# as possible without rejecting all possible matches. The
# real difficulty is to construct a proper list of
# (vertex_a, vertex_b) pairs that will reject all but one
# matches. I conjecture that this list contains all the
# first two vertices from each normalized symmetry cycle of
# the pattern graph. We need a math guy to do the proof. -- Toon
return False
return True
return True | [
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molmod/molmod | molmod/graphs.py | CustomPattern.iter_final_matches | def iter_final_matches(self, canonical_match, subject_graph, one_match):
"""Given a match, iterate over all related equivalent matches
When criteria sets are defined, the iterator runs over all symmetric
equivalent matches that fulfill one of the criteria sets. When not
criteria sets are defined, the iterator only yields the input match.
"""
if self.criteria_sets is None or one_match:
yield canonical_match
else:
for criteria_set in self.criteria_sets:
satisfied_match_tags = set([])
for symmetry in self.pattern_graph.symmetries:
final_match = canonical_match * symmetry
#print final_match
if criteria_set.test_match(final_match, self.pattern_graph, subject_graph):
match_tags = tuple(
self.vertex_tags.get(symmetry.reverse[vertex0])
for vertex0
in range(self.pattern_graph.num_vertices)
)
if match_tags not in satisfied_match_tags:
final_match.__dict__.update(criteria_set.info)
yield final_match
satisfied_match_tags.add(match_tags) | python | def iter_final_matches(self, canonical_match, subject_graph, one_match):
"""Given a match, iterate over all related equivalent matches
When criteria sets are defined, the iterator runs over all symmetric
equivalent matches that fulfill one of the criteria sets. When not
criteria sets are defined, the iterator only yields the input match.
"""
if self.criteria_sets is None or one_match:
yield canonical_match
else:
for criteria_set in self.criteria_sets:
satisfied_match_tags = set([])
for symmetry in self.pattern_graph.symmetries:
final_match = canonical_match * symmetry
#print final_match
if criteria_set.test_match(final_match, self.pattern_graph, subject_graph):
match_tags = tuple(
self.vertex_tags.get(symmetry.reverse[vertex0])
for vertex0
in range(self.pattern_graph.num_vertices)
)
if match_tags not in satisfied_match_tags:
final_match.__dict__.update(criteria_set.info)
yield final_match
satisfied_match_tags.add(match_tags) | [
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molmod/molmod | molmod/graphs.py | EqualMatch.get_closed_cycles | def get_closed_cycles(self):
"""Return the closed cycles corresponding to this permutation
The cycle will be normalized to facilitate the elimination of
duplicates. The following is guaranteed:
1) If this permutation is represented by disconnected cycles, the
cycles will be sorted by the lowest index they contain.
2) Each cycle starts with its lowest index. (unique starting point)
3) Singletons are discarded. (because they are boring)
"""
# A) construct all the cycles
closed_cycles = []
todo = set(self.forward.keys())
if todo != set(self.forward.values()):
raise GraphError("The subject and pattern graph must have the same "
"numbering.")
current_vertex = None
while len(todo) > 0:
if current_vertex == None:
current_vertex = todo.pop()
current_cycle = []
else:
todo.discard(current_vertex)
current_cycle.append(current_vertex)
next_vertex = self.get_destination(current_vertex)
if next_vertex == current_cycle[0]:
if len(current_cycle) > 1:
# bring the lowest element in front
pivot = np.argmin(current_cycle)
current_cycle = current_cycle[pivot:] + \
current_cycle[:pivot]
closed_cycles.append(current_cycle)
current_vertex = None
else:
current_vertex = next_vertex
# B) normalize the cycle representation
closed_cycles.sort() # a normal sort is sufficient because only the
# first item of each cycle is considered
# transform the structure into a tuple of tuples
closed_cycles = tuple(tuple(cycle) for cycle in closed_cycles)
return closed_cycles | python | def get_closed_cycles(self):
"""Return the closed cycles corresponding to this permutation
The cycle will be normalized to facilitate the elimination of
duplicates. The following is guaranteed:
1) If this permutation is represented by disconnected cycles, the
cycles will be sorted by the lowest index they contain.
2) Each cycle starts with its lowest index. (unique starting point)
3) Singletons are discarded. (because they are boring)
"""
# A) construct all the cycles
closed_cycles = []
todo = set(self.forward.keys())
if todo != set(self.forward.values()):
raise GraphError("The subject and pattern graph must have the same "
"numbering.")
current_vertex = None
while len(todo) > 0:
if current_vertex == None:
current_vertex = todo.pop()
current_cycle = []
else:
todo.discard(current_vertex)
current_cycle.append(current_vertex)
next_vertex = self.get_destination(current_vertex)
if next_vertex == current_cycle[0]:
if len(current_cycle) > 1:
# bring the lowest element in front
pivot = np.argmin(current_cycle)
current_cycle = current_cycle[pivot:] + \
current_cycle[:pivot]
closed_cycles.append(current_cycle)
current_vertex = None
else:
current_vertex = next_vertex
# B) normalize the cycle representation
closed_cycles.sort() # a normal sort is sufficient because only the
# first item of each cycle is considered
# transform the structure into a tuple of tuples
closed_cycles = tuple(tuple(cycle) for cycle in closed_cycles)
return closed_cycles | [
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molmod/molmod | molmod/graphs.py | EqualPattern.iter_initial_relations | def iter_initial_relations(self, subject_graph):
"""Iterate over all valid initial relations for a match"""
if self.pattern_graph.num_edges != subject_graph.num_edges:
return # don't even try
for pair in CustomPattern.iter_initial_relations(self, subject_graph):
yield pair | python | def iter_initial_relations(self, subject_graph):
"""Iterate over all valid initial relations for a match"""
if self.pattern_graph.num_edges != subject_graph.num_edges:
return # don't even try
for pair in CustomPattern.iter_initial_relations(self, subject_graph):
yield pair | [
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molmod/molmod | molmod/graphs.py | EqualPattern.compare | def compare(self, vertex0, vertex1, subject_graph):
"""Returns true when the two vertices are of the same kind"""
return (
self.pattern_graph.vertex_fingerprints[vertex0] ==
subject_graph.vertex_fingerprints[vertex1]
).all() | python | def compare(self, vertex0, vertex1, subject_graph):
"""Returns true when the two vertices are of the same kind"""
return (
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molmod/molmod | molmod/graphs.py | RingPattern.iter_initial_relations | def iter_initial_relations(self, subject_graph):
"""Iterate over all valid initial relations for a match"""
vertex0 = 0
for vertex1 in range(subject_graph.num_vertices):
yield vertex0, vertex1 | python | def iter_initial_relations(self, subject_graph):
"""Iterate over all valid initial relations for a match"""
vertex0 = 0
for vertex1 in range(subject_graph.num_vertices):
yield vertex0, vertex1 | [
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molmod/molmod | molmod/graphs.py | RingPattern.get_new_edges | def get_new_edges(self, level):
"""Get new edges from the pattern graph for the graph search algorithm
The level argument denotes the distance of the new edges from the
starting vertex in the pattern graph.
"""
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edges0 = [(0, 1), (0, 2)]
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"""Get new edges from the pattern graph for the graph search algorithm
The level argument denotes the distance of the new edges from the
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"""
if level == 0:
edges0 = [(0, 1), (0, 2)]
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edges0 = [(l2-1, l2+1), (l2, l2+2)]
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molmod/molmod | molmod/graphs.py | RingPattern.check_next_match | def check_next_match(self, match, new_relations, subject_graph, one_match):
"""Check if the (onset for a) match can be a valid (part of a) ring"""
# avoid duplicate rings (order of traversal)
if len(match) == 3:
if match.forward[1] < match.forward[2]:
#print "RingPattern.check_next_match: duplicate order", match.forward[1], match.forward[2]
return False
# avoid duplicate rings (starting point)
for vertex1 in new_relations.values():
if vertex1 < match.forward[0]:
#print "RingPattern.check_next_match: duplicate start", vertex1, match.forward[0]
return False
# can this ever become a strong ring?
for vertex1 in new_relations.values():
paths = list(subject_graph.iter_shortest_paths(vertex1, match.forward[0]))
if len(paths) != 1:
#print "RingPattern.check_next_match: not strong 1"
return False
if len(paths[0]) != (len(match)+1)//2:
#print "RingPattern.check_next_match: not strong 2"
return False
return True | python | def check_next_match(self, match, new_relations, subject_graph, one_match):
"""Check if the (onset for a) match can be a valid (part of a) ring"""
# avoid duplicate rings (order of traversal)
if len(match) == 3:
if match.forward[1] < match.forward[2]:
#print "RingPattern.check_next_match: duplicate order", match.forward[1], match.forward[2]
return False
# avoid duplicate rings (starting point)
for vertex1 in new_relations.values():
if vertex1 < match.forward[0]:
#print "RingPattern.check_next_match: duplicate start", vertex1, match.forward[0]
return False
# can this ever become a strong ring?
for vertex1 in new_relations.values():
paths = list(subject_graph.iter_shortest_paths(vertex1, match.forward[0]))
if len(paths) != 1:
#print "RingPattern.check_next_match: not strong 1"
return False
if len(paths[0]) != (len(match)+1)//2:
#print "RingPattern.check_next_match: not strong 2"
return False
return True | [
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molmod/molmod | molmod/graphs.py | RingPattern.complete | def complete(self, match, subject_graph):
"""Check the completeness of a ring match"""
size = len(match)
# check whether we have an odd strong ring
if match.forward[size-1] in subject_graph.neighbors[match.forward[size-2]]:
# we have an odd closed cycle. check if this is a strong ring
order = list(range(0, size, 2)) + list(range(1, size-1, 2))[::-1]
ok = True
for i in range(len(order)//2):
# Count the number of paths between two opposite points in the
# ring. Since the ring has an odd number of vertices, each
# vertex has two semi-opposite vertices.
count = len(list(subject_graph.iter_shortest_paths(
match.forward[order[i]],
match.forward[order[(i+size//2)%size]]
)))
if count > 1:
ok = False
break
count = len(list(subject_graph.iter_shortest_paths(
match.forward[order[i]],
match.forward[order[(i+size//2+1)%size]]
)))
if count > 1:
ok = False
break
if ok:
match.ring_vertices = tuple(match.forward[i] for i in order)
#print "RingPattern.complete: found odd ring"
return True
#print "RingPattern.complete: no odd ring"
# check whether we have an even strong ring
paths = list(subject_graph.iter_shortest_paths(
match.forward[size-1],
match.forward[size-2]
))
#print "RingPattern.complete: even paths", paths
if (size > 3 and len(paths) == 1 and len(paths[0]) == 3) or \
(size == 3 and len(paths) == 2 and len(paths[0]) == 3):
path = paths[0]
if size == 3 and path[1] == match.forward[0]:
path = paths[1]
# we have an even closed cycle. check if this is a strong ring
match.add_relation(size, path[1])
size += 1
order = list(range(0, size, 2)) + list(range(size-1, 0, -2))
ok = True
for i in range(len(order)//2):
count = len(list(subject_graph.iter_shortest_paths(
match.forward[order[i]],
match.forward[order[(i+size//2)%size]]
)))
if count != 2:
ok = False
break
if ok:
# also check if this does not violate the requirement for a
# unique origin:
if match.forward[size-1] < match.forward[0]:
ok = False
if not ok:
vertex1 = match.forward[size-1]
del match.forward[size-1]
del match.reverse[vertex1]
size -= 1
#print "RingPattern.complete: no even ring"
else:
match.ring_vertices = tuple(match.forward[i] for i in order)
#print "RingPattern.complete: found even ring"
return ok
#print "RingPattern.complete: not at all"
return False | python | def complete(self, match, subject_graph):
"""Check the completeness of a ring match"""
size = len(match)
# check whether we have an odd strong ring
if match.forward[size-1] in subject_graph.neighbors[match.forward[size-2]]:
# we have an odd closed cycle. check if this is a strong ring
order = list(range(0, size, 2)) + list(range(1, size-1, 2))[::-1]
ok = True
for i in range(len(order)//2):
# Count the number of paths between two opposite points in the
# ring. Since the ring has an odd number of vertices, each
# vertex has two semi-opposite vertices.
count = len(list(subject_graph.iter_shortest_paths(
match.forward[order[i]],
match.forward[order[(i+size//2)%size]]
)))
if count > 1:
ok = False
break
count = len(list(subject_graph.iter_shortest_paths(
match.forward[order[i]],
match.forward[order[(i+size//2+1)%size]]
)))
if count > 1:
ok = False
break
if ok:
match.ring_vertices = tuple(match.forward[i] for i in order)
#print "RingPattern.complete: found odd ring"
return True
#print "RingPattern.complete: no odd ring"
# check whether we have an even strong ring
paths = list(subject_graph.iter_shortest_paths(
match.forward[size-1],
match.forward[size-2]
))
#print "RingPattern.complete: even paths", paths
if (size > 3 and len(paths) == 1 and len(paths[0]) == 3) or \
(size == 3 and len(paths) == 2 and len(paths[0]) == 3):
path = paths[0]
if size == 3 and path[1] == match.forward[0]:
path = paths[1]
# we have an even closed cycle. check if this is a strong ring
match.add_relation(size, path[1])
size += 1
order = list(range(0, size, 2)) + list(range(size-1, 0, -2))
ok = True
for i in range(len(order)//2):
count = len(list(subject_graph.iter_shortest_paths(
match.forward[order[i]],
match.forward[order[(i+size//2)%size]]
)))
if count != 2:
ok = False
break
if ok:
# also check if this does not violate the requirement for a
# unique origin:
if match.forward[size-1] < match.forward[0]:
ok = False
if not ok:
vertex1 = match.forward[size-1]
del match.forward[size-1]
del match.reverse[vertex1]
size -= 1
#print "RingPattern.complete: no even ring"
else:
match.ring_vertices = tuple(match.forward[i] for i in order)
#print "RingPattern.complete: found even ring"
return ok
#print "RingPattern.complete: not at all"
return False | [
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molmod/molmod | molmod/graphs.py | GraphSearch.print_debug | def print_debug(self, text, indent=0):
"""Only prints debug info on screen when self.debug == True."""
if self.debug:
if indent > 0:
print(" "*self.debug, text)
self.debug += indent
if indent <= 0:
print(" "*self.debug, text) | python | def print_debug(self, text, indent=0):
"""Only prints debug info on screen when self.debug == True."""
if self.debug:
if indent > 0:
print(" "*self.debug, text)
self.debug += indent
if indent <= 0:
print(" "*self.debug, text) | [
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molmod/molmod | molmod/graphs.py | GraphSearch._iter_candidate_groups | def _iter_candidate_groups(self, init_match, edges0, edges1):
"""Divide the edges into groups"""
# collect all end vertices0 and end vertices1 that belong to the same
# group.
sources = {}
for start_vertex0, end_vertex0 in edges0:
l = sources.setdefault(start_vertex0, [])
l.append(end_vertex0)
dests = {}
for start_vertex1, end_vertex1 in edges1:
start_vertex0 = init_match.reverse[start_vertex1]
l = dests.setdefault(start_vertex0, [])
l.append(end_vertex1)
for start_vertex0, end_vertices0 in sources.items():
end_vertices1 = dests.get(start_vertex0, [])
yield end_vertices0, end_vertices1 | python | def _iter_candidate_groups(self, init_match, edges0, edges1):
"""Divide the edges into groups"""
# collect all end vertices0 and end vertices1 that belong to the same
# group.
sources = {}
for start_vertex0, end_vertex0 in edges0:
l = sources.setdefault(start_vertex0, [])
l.append(end_vertex0)
dests = {}
for start_vertex1, end_vertex1 in edges1:
start_vertex0 = init_match.reverse[start_vertex1]
l = dests.setdefault(start_vertex0, [])
l.append(end_vertex1)
for start_vertex0, end_vertices0 in sources.items():
end_vertices1 = dests.get(start_vertex0, [])
yield end_vertices0, end_vertices1 | [
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molmod/molmod | molmod/graphs.py | GraphSearch._iter_new_relations | def _iter_new_relations(self, init_match, subject_graph, edges0, constraints0, edges1):
"""Given an onset for a match, iterate over all possible new key-value pairs"""
# Count the number of unique edges0[i][1] values. This is also
# the number of new relations.
num_new_relations = len(set(j for i, j in edges0))
def combine_small(relations, num):
"""iterate over all compatible combinations within one set of relations"""
if len(relations) == 0:
return
for i, pivot in enumerate(relations):
if num == 1:
yield (pivot, )
else:
compatible_relations = list(
item for item in relations[:i]
if pivot[0]!=item[0] and pivot[1]!=item[1]
)
for tail in combine_small(compatible_relations, num-1):
yield (pivot, ) + tail
# generate candidate relations
candidate_relations = []
icg = self._iter_candidate_groups(init_match, edges0, edges1)
for end_vertices0, end_vertices1 in icg:
if len(end_vertices0) > len(end_vertices1):
return # this can never work, the subject graph is 'too small'
elif not self.pattern.sub and \
len(end_vertices0) != len(end_vertices1):
return # an exact match is sought, this can never work
l = []
for end_vertex0 in end_vertices0:
for end_vertex1 in end_vertices1:
if self.pattern.compare(end_vertex0, end_vertex1, subject_graph):
l.append((end_vertex0, end_vertex1))
# len(end_vertices0) = the total number of relations that must be
# made in this group
if len(l) > 0:
# turn l into a list of sets of internally compatible candidate
# relations in this group
l = list(combine_small(l, len(end_vertices0)))
candidate_relations.append(l)
if len(candidate_relations) == 0:
return
self.print_debug("candidate_relations: %s" % candidate_relations)
def combine_big(pos=0):
"""Iterate over all possible sets of relations"""
# pos is an index in candidate_relations
crs = candidate_relations[pos]
if pos == len(candidate_relations)-1:
for relations in crs:
yield relations
else:
for tail in combine_big(pos+1):
for relations in crs:
yield relations + tail
# final loop
for new_relations in combine_big():
new_relations = set(new_relations)
self.print_debug("new_relations: %s" % (new_relations, ))
# check the total number of new relations
if len(new_relations) != num_new_relations:
continue
# check sanity of relations
forward = dict(new_relations)
if len(forward) != num_new_relations:
continue
reverse = dict((j, i) for i, j in new_relations)
if len(reverse) != num_new_relations:
continue
# check the constraints
for a0, b0 in constraints0:
if forward[a0] not in subject_graph.neighbors[forward[b0]]:
forward = None
break
if forward is None:
continue
yield forward | python | def _iter_new_relations(self, init_match, subject_graph, edges0, constraints0, edges1):
"""Given an onset for a match, iterate over all possible new key-value pairs"""
# Count the number of unique edges0[i][1] values. This is also
# the number of new relations.
num_new_relations = len(set(j for i, j in edges0))
def combine_small(relations, num):
"""iterate over all compatible combinations within one set of relations"""
if len(relations) == 0:
return
for i, pivot in enumerate(relations):
if num == 1:
yield (pivot, )
else:
compatible_relations = list(
item for item in relations[:i]
if pivot[0]!=item[0] and pivot[1]!=item[1]
)
for tail in combine_small(compatible_relations, num-1):
yield (pivot, ) + tail
# generate candidate relations
candidate_relations = []
icg = self._iter_candidate_groups(init_match, edges0, edges1)
for end_vertices0, end_vertices1 in icg:
if len(end_vertices0) > len(end_vertices1):
return # this can never work, the subject graph is 'too small'
elif not self.pattern.sub and \
len(end_vertices0) != len(end_vertices1):
return # an exact match is sought, this can never work
l = []
for end_vertex0 in end_vertices0:
for end_vertex1 in end_vertices1:
if self.pattern.compare(end_vertex0, end_vertex1, subject_graph):
l.append((end_vertex0, end_vertex1))
# len(end_vertices0) = the total number of relations that must be
# made in this group
if len(l) > 0:
# turn l into a list of sets of internally compatible candidate
# relations in this group
l = list(combine_small(l, len(end_vertices0)))
candidate_relations.append(l)
if len(candidate_relations) == 0:
return
self.print_debug("candidate_relations: %s" % candidate_relations)
def combine_big(pos=0):
"""Iterate over all possible sets of relations"""
# pos is an index in candidate_relations
crs = candidate_relations[pos]
if pos == len(candidate_relations)-1:
for relations in crs:
yield relations
else:
for tail in combine_big(pos+1):
for relations in crs:
yield relations + tail
# final loop
for new_relations in combine_big():
new_relations = set(new_relations)
self.print_debug("new_relations: %s" % (new_relations, ))
# check the total number of new relations
if len(new_relations) != num_new_relations:
continue
# check sanity of relations
forward = dict(new_relations)
if len(forward) != num_new_relations:
continue
reverse = dict((j, i) for i, j in new_relations)
if len(reverse) != num_new_relations:
continue
# check the constraints
for a0, b0 in constraints0:
if forward[a0] not in subject_graph.neighbors[forward[b0]]:
forward = None
break
if forward is None:
continue
yield forward | [
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molmod/molmod | molmod/graphs.py | GraphSearch._iter_matches | def _iter_matches(self, input_match, subject_graph, one_match, level=0):
"""Given an onset for a match, iterate over all completions of that match
This iterator works recursively. At each level the match is extended
with a new set of relations based on vertices in the pattern graph
that are at a distances 'level' from the starting vertex
"""
self.print_debug("ENTERING _ITER_MATCHES", 1)
self.print_debug("input_match: %s" % input_match)
# A) collect the new edges in the pattern graph and the subject graph
# to extend the match.
#
# Note that the edges are ordered. edge[0] is always in the match.
# edge[1] is never in the match. The constraints contain information
# about the end points of edges0. It is a list of two-tuples where
# (a, b) means that a and b must be connected.
#
# Second note: suffix 0 indicates the pattern graph and suffix 1
# is used for the subject graph.
edges0, constraints0 = self.pattern.get_new_edges(level)
edges1 = input_match.get_new_edges(subject_graph)
self.print_debug("edges0: %s" % edges0)
self.print_debug("constraints0: %s" % constraints0)
self.print_debug("edges1: %s" % edges1)
# B) iterate over the sets of new relations: [(vertex0[i], vertex1[j]),
# ...] that contain all endpoints of edges0, that satisfy the
# constraints0 and where (vertex0[i], vertex1[j]) only occurs if these
# are end points of a edge0 and edge1 whose starting points are already
# in init_match. These conditions are implemented in an iterator as to
# separate concerns. This iterator also calls the routines that check
# whether vertex1[j] also satisfies additional conditions inherent
# vertex0[i].
inr = self._iter_new_relations(input_match, subject_graph, edges0,
constraints0, edges1)
for new_relations in inr:
# for each set of new_relations, construct a next_match and recurse
next_match = input_match.copy_with_new_relations(new_relations)
if not self.pattern.check_next_match(next_match, new_relations, subject_graph, one_match):
continue
if self.pattern.complete(next_match, subject_graph):
yield next_match
else:
for match in self._iter_matches(next_match, subject_graph, one_match, level+1):
yield match
self.print_debug("LEAVING_ITER_MATCHES", -1) | python | def _iter_matches(self, input_match, subject_graph, one_match, level=0):
"""Given an onset for a match, iterate over all completions of that match
This iterator works recursively. At each level the match is extended
with a new set of relations based on vertices in the pattern graph
that are at a distances 'level' from the starting vertex
"""
self.print_debug("ENTERING _ITER_MATCHES", 1)
self.print_debug("input_match: %s" % input_match)
# A) collect the new edges in the pattern graph and the subject graph
# to extend the match.
#
# Note that the edges are ordered. edge[0] is always in the match.
# edge[1] is never in the match. The constraints contain information
# about the end points of edges0. It is a list of two-tuples where
# (a, b) means that a and b must be connected.
#
# Second note: suffix 0 indicates the pattern graph and suffix 1
# is used for the subject graph.
edges0, constraints0 = self.pattern.get_new_edges(level)
edges1 = input_match.get_new_edges(subject_graph)
self.print_debug("edges0: %s" % edges0)
self.print_debug("constraints0: %s" % constraints0)
self.print_debug("edges1: %s" % edges1)
# B) iterate over the sets of new relations: [(vertex0[i], vertex1[j]),
# ...] that contain all endpoints of edges0, that satisfy the
# constraints0 and where (vertex0[i], vertex1[j]) only occurs if these
# are end points of a edge0 and edge1 whose starting points are already
# in init_match. These conditions are implemented in an iterator as to
# separate concerns. This iterator also calls the routines that check
# whether vertex1[j] also satisfies additional conditions inherent
# vertex0[i].
inr = self._iter_new_relations(input_match, subject_graph, edges0,
constraints0, edges1)
for new_relations in inr:
# for each set of new_relations, construct a next_match and recurse
next_match = input_match.copy_with_new_relations(new_relations)
if not self.pattern.check_next_match(next_match, new_relations, subject_graph, one_match):
continue
if self.pattern.complete(next_match, subject_graph):
yield next_match
else:
for match in self._iter_matches(next_match, subject_graph, one_match, level+1):
yield match
self.print_debug("LEAVING_ITER_MATCHES", -1) | [
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molmod/molmod | molmod/io/pdb.py | dump_pdb | def dump_pdb(filename, molecule, atomnames=None, resnames=None, chain_ids=None, occupancies=None, betas=None):
"""Writes a single molecule to a pdb file.
This function is based on the pdb file specification:
http://www.wwpdb.org/documentation/format32/sect9.html
For convenience, the relevant table is copied and the character indexes are
transformed to C-style (starting from zero)
======= ============ ========== ==========================================
COLUMNS DATA TYPE FIELD DEFINITION
======= ============ ========== ==========================================
0 - 5 Record name "ATOM "
6 - 10 Integer serial Atom serial number.
12 - 15 Atom name Atom name.
16 Character altLoc Alternate location indicator.
17 - 19 Residue name resName Residue name.
21 Character chainID Chain identifier.
22 - 25 Integer resSeq Residue sequence number.
26 AChar iCode Code for insertion of residues.
30 - 37 Real(8.3) x Orthogonal coordinates for X in Angstroms.
38 - 45 Real(8.3) y Orthogonal coordinates for Y in Angstroms.
46 - 53 Real(8.3) z Orthogonal coordinates for Z in Angstroms.
54 - 59 Real(6.2) occupancy Occupancy.
60 - 65 Real(6.2) tempFactor Temperature factor.
76 - 77 LString(2) element Element symbol, right-justified.
78 - 79 LString(2) charge Charge on the atom.
======= ============ ========== ==========================================
"""
with open(filename, "w") as f:
res_id = 1
old_resname = None
for i in range(molecule.size):
symbol = periodic[molecule.numbers[i]].symbol
if atomnames is None:
atomname = symbol
else:
atomname = atomnames[i]
if resnames is None:
resname = "OXO"
else:
resname = resnames[i]
if resname != old_resname:
res_id += 1
if chain_ids is None:
chain_id = "A"
else:
chain_id = chain_ids[i]
if occupancies is None:
occupancy = 1.0
else:
occupancy = occupancies[i]
if betas is None:
beta = 1.0
else:
beta = betas[i]
print("ATOM %4i %3s %3s %1s%4i %8.3f%8.3f%8.3f%6.2f%6.2f %2s " % (
i+1, atomname.ljust(3), resname.ljust(3), chain_id, res_id,
molecule.coordinates[i, 0]/angstrom,
molecule.coordinates[i, 1]/angstrom,
molecule.coordinates[i, 2]/angstrom,
occupancy, beta, symbol.ljust(2)
), file=f)
old_resname = resname | python | def dump_pdb(filename, molecule, atomnames=None, resnames=None, chain_ids=None, occupancies=None, betas=None):
"""Writes a single molecule to a pdb file.
This function is based on the pdb file specification:
http://www.wwpdb.org/documentation/format32/sect9.html
For convenience, the relevant table is copied and the character indexes are
transformed to C-style (starting from zero)
======= ============ ========== ==========================================
COLUMNS DATA TYPE FIELD DEFINITION
======= ============ ========== ==========================================
0 - 5 Record name "ATOM "
6 - 10 Integer serial Atom serial number.
12 - 15 Atom name Atom name.
16 Character altLoc Alternate location indicator.
17 - 19 Residue name resName Residue name.
21 Character chainID Chain identifier.
22 - 25 Integer resSeq Residue sequence number.
26 AChar iCode Code for insertion of residues.
30 - 37 Real(8.3) x Orthogonal coordinates for X in Angstroms.
38 - 45 Real(8.3) y Orthogonal coordinates for Y in Angstroms.
46 - 53 Real(8.3) z Orthogonal coordinates for Z in Angstroms.
54 - 59 Real(6.2) occupancy Occupancy.
60 - 65 Real(6.2) tempFactor Temperature factor.
76 - 77 LString(2) element Element symbol, right-justified.
78 - 79 LString(2) charge Charge on the atom.
======= ============ ========== ==========================================
"""
with open(filename, "w") as f:
res_id = 1
old_resname = None
for i in range(molecule.size):
symbol = periodic[molecule.numbers[i]].symbol
if atomnames is None:
atomname = symbol
else:
atomname = atomnames[i]
if resnames is None:
resname = "OXO"
else:
resname = resnames[i]
if resname != old_resname:
res_id += 1
if chain_ids is None:
chain_id = "A"
else:
chain_id = chain_ids[i]
if occupancies is None:
occupancy = 1.0
else:
occupancy = occupancies[i]
if betas is None:
beta = 1.0
else:
beta = betas[i]
print("ATOM %4i %3s %3s %1s%4i %8.3f%8.3f%8.3f%6.2f%6.2f %2s " % (
i+1, atomname.ljust(3), resname.ljust(3), chain_id, res_id,
molecule.coordinates[i, 0]/angstrom,
molecule.coordinates[i, 1]/angstrom,
molecule.coordinates[i, 2]/angstrom,
occupancy, beta, symbol.ljust(2)
), file=f)
old_resname = resname | [
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This function is based on the pdb file specification:
http://www.wwpdb.org/documentation/format32/sect9.html
For convenience, the relevant table is copied and the character indexes are
transformed to C-style (starting from zero)
======= ============ ========== ==========================================
COLUMNS DATA TYPE FIELD DEFINITION
======= ============ ========== ==========================================
0 - 5 Record name "ATOM "
6 - 10 Integer serial Atom serial number.
12 - 15 Atom name Atom name.
16 Character altLoc Alternate location indicator.
17 - 19 Residue name resName Residue name.
21 Character chainID Chain identifier.
22 - 25 Integer resSeq Residue sequence number.
26 AChar iCode Code for insertion of residues.
30 - 37 Real(8.3) x Orthogonal coordinates for X in Angstroms.
38 - 45 Real(8.3) y Orthogonal coordinates for Y in Angstroms.
46 - 53 Real(8.3) z Orthogonal coordinates for Z in Angstroms.
54 - 59 Real(6.2) occupancy Occupancy.
60 - 65 Real(6.2) tempFactor Temperature factor.
76 - 77 LString(2) element Element symbol, right-justified.
78 - 79 LString(2) charge Charge on the atom.
======= ============ ========== ========================================== | [
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molmod/molmod | molmod/io/pdb.py | load_pdb | def load_pdb(filename):
"""Loads a single molecule from a pdb file.
This function does support only a small fragment from the pdb specification.
It assumes that there is only one molecular geometry in the pdb file.
"""
with open(filename) as f:
numbers = []
coordinates = []
occupancies = []
betas = []
for line in f:
if line.startswith("ATOM"):
symbol = line[76:78].strip()
numbers.append(periodic[symbol].number)
coordinates.append([float(line[30:38])*angstrom, float(line[38:46])*angstrom, float(line[46:54])*angstrom])
occupancies.append(float(line[54:60]))
betas.append(float(line[60:66]))
if len(numbers) > 0:
molecule = Molecule(numbers, coordinates)
molecule.occupancies = np.array(occupancies)
molecule.betas = np.array(betas)
return molecule
else:
raise FileFormatError("No molecule found in pdb file %s" % filename) | python | def load_pdb(filename):
"""Loads a single molecule from a pdb file.
This function does support only a small fragment from the pdb specification.
It assumes that there is only one molecular geometry in the pdb file.
"""
with open(filename) as f:
numbers = []
coordinates = []
occupancies = []
betas = []
for line in f:
if line.startswith("ATOM"):
symbol = line[76:78].strip()
numbers.append(periodic[symbol].number)
coordinates.append([float(line[30:38])*angstrom, float(line[38:46])*angstrom, float(line[46:54])*angstrom])
occupancies.append(float(line[54:60]))
betas.append(float(line[60:66]))
if len(numbers) > 0:
molecule = Molecule(numbers, coordinates)
molecule.occupancies = np.array(occupancies)
molecule.betas = np.array(betas)
return molecule
else:
raise FileFormatError("No molecule found in pdb file %s" % filename) | [
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This function does support only a small fragment from the pdb specification.
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molmod/molmod | molmod/zmatrix.py | zmat_to_cart | def zmat_to_cart(zmat):
"""Converts a ZMatrix back to cartesian coordinates."""
numbers = zmat["number"]
N = len(numbers)
coordinates = np.zeros((N, 3), float)
# special cases for the first coordinates
coordinates[1, 2] = zmat["distance"][1]
if zmat["rel1"][2] == 1:
sign = -1
else:
sign = 1
coordinates[2, 2] = zmat["distance"][2]*sign*np.cos(zmat["angle"][2])
coordinates[2, 1] = zmat["distance"][2]*sign*np.sin(zmat["angle"][2])
coordinates[2] += coordinates[2-zmat["rel1"][2]]
ref0 = 3
for (number, distance, rel1, angle, rel2, dihed, rel3) in zmat[3:]:
ref1 = ref0 - rel1
ref2 = ref0 - rel2
ref3 = ref0 - rel3
if ref1 < 0: ref1 = 0
if ref2 < 0: ref2 = 0
if ref3 < 0: ref3 = 0
# define frame axes
origin = coordinates[ref1]
new_z = coordinates[ref2] - origin
norm_z = np.linalg.norm(new_z)
if norm_z < 1e-15:
new_z = np.array([0, 0, 1], float)
else:
new_z /= np.linalg.norm(new_z)
new_x = coordinates[ref3] - origin
new_x -= np.dot(new_x, new_z)*new_z
norm_x = np.linalg.norm(new_x)
if norm_x < 1e-15:
new_x = random_orthonormal(new_z)
else:
new_x /= np.linalg.norm(new_x)
# we must make our axes frame left handed due to the poor IUPAC
# definition of the sign of a dihedral angle.
new_y = -np.cross(new_z, new_x)
# coordinates of new atom:
x = distance*np.cos(dihed)*np.sin(angle)
y = distance*np.sin(dihed)*np.sin(angle)
z = distance*np.cos(angle)
coordinates[ref0] = origin + x*new_x + y*new_y + z*new_z
# loop
ref0 += 1
return numbers, coordinates | python | def zmat_to_cart(zmat):
"""Converts a ZMatrix back to cartesian coordinates."""
numbers = zmat["number"]
N = len(numbers)
coordinates = np.zeros((N, 3), float)
# special cases for the first coordinates
coordinates[1, 2] = zmat["distance"][1]
if zmat["rel1"][2] == 1:
sign = -1
else:
sign = 1
coordinates[2, 2] = zmat["distance"][2]*sign*np.cos(zmat["angle"][2])
coordinates[2, 1] = zmat["distance"][2]*sign*np.sin(zmat["angle"][2])
coordinates[2] += coordinates[2-zmat["rel1"][2]]
ref0 = 3
for (number, distance, rel1, angle, rel2, dihed, rel3) in zmat[3:]:
ref1 = ref0 - rel1
ref2 = ref0 - rel2
ref3 = ref0 - rel3
if ref1 < 0: ref1 = 0
if ref2 < 0: ref2 = 0
if ref3 < 0: ref3 = 0
# define frame axes
origin = coordinates[ref1]
new_z = coordinates[ref2] - origin
norm_z = np.linalg.norm(new_z)
if norm_z < 1e-15:
new_z = np.array([0, 0, 1], float)
else:
new_z /= np.linalg.norm(new_z)
new_x = coordinates[ref3] - origin
new_x -= np.dot(new_x, new_z)*new_z
norm_x = np.linalg.norm(new_x)
if norm_x < 1e-15:
new_x = random_orthonormal(new_z)
else:
new_x /= np.linalg.norm(new_x)
# we must make our axes frame left handed due to the poor IUPAC
# definition of the sign of a dihedral angle.
new_y = -np.cross(new_z, new_x)
# coordinates of new atom:
x = distance*np.cos(dihed)*np.sin(angle)
y = distance*np.sin(dihed)*np.sin(angle)
z = distance*np.cos(angle)
coordinates[ref0] = origin + x*new_x + y*new_y + z*new_z
# loop
ref0 += 1
return numbers, coordinates | [
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molmod/molmod | molmod/zmatrix.py | ZMatrixGenerator._get_new_ref | def _get_new_ref(self, existing_refs):
"""Get a new reference atom for a row in the ZMatrix
The reference atoms should obey the following conditions:
- They must be different
- They must be neighbours in the bond graph
- They must have an index lower than the current atom
If multiple candidate refs can be found, take the heaviest atom
"""
# ref0 is the atom whose position is defined by the current row in the
# zmatrix.
ref0 = existing_refs[0]
for ref in existing_refs:
# try to find a neighbor of the ref that can serve as the new ref
result = None
for n in sorted(self.graph.neighbors[ref]):
if self.new_index[n] > self.new_index[ref0]:
# index is too high, zmatrix rows can't refer to future
# atoms
continue
if n in existing_refs:
# ref is already in use
continue
if result is None or self.graph.numbers[n] <= self.graph.numbers[result]:
# acceptable ref, prefer heaviest atom
result = n
if result is not None:
return result
raise RuntimeError("Could not find new reference.") | python | def _get_new_ref(self, existing_refs):
"""Get a new reference atom for a row in the ZMatrix
The reference atoms should obey the following conditions:
- They must be different
- They must be neighbours in the bond graph
- They must have an index lower than the current atom
If multiple candidate refs can be found, take the heaviest atom
"""
# ref0 is the atom whose position is defined by the current row in the
# zmatrix.
ref0 = existing_refs[0]
for ref in existing_refs:
# try to find a neighbor of the ref that can serve as the new ref
result = None
for n in sorted(self.graph.neighbors[ref]):
if self.new_index[n] > self.new_index[ref0]:
# index is too high, zmatrix rows can't refer to future
# atoms
continue
if n in existing_refs:
# ref is already in use
continue
if result is None or self.graph.numbers[n] <= self.graph.numbers[result]:
# acceptable ref, prefer heaviest atom
result = n
if result is not None:
return result
raise RuntimeError("Could not find new reference.") | [
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] | train | https://github.com/molmod/molmod/blob/a7b5b4364ed514ad4c465856c05b5eda1cb561e0/molmod/zmatrix.py#L89-L118 |
molmod/molmod | molmod/zmatrix.py | ZMatrixGenerator.cart_to_zmat | def cart_to_zmat(self, coordinates):
"""Convert cartesian coordinates to ZMatrix format
Argument:
coordinates -- Cartesian coordinates (numpy array Nx3)
The coordinates must match with the graph that was used to initialize
the ZMatrixGenerator object.
"""
N = len(self.graph.numbers)
if coordinates.shape != (N, 3):
raise ValueError("The shape of the coordinates must be (%i, 3)" % N)
result = np.zeros(N, dtype=self.dtype)
for i in range(N):
ref0 = self.old_index[i]
rel1 = -1
rel2 = -1
rel3 = -1
distance = 0
angle = 0
dihed = 0
if i > 0:
ref1 = self._get_new_ref([ref0])
distance = np.linalg.norm(coordinates[ref0]-coordinates[ref1])
rel1 = i - self.new_index[ref1]
if i > 1:
ref2 = self._get_new_ref([ref0, ref1])
angle, = ic.bend_angle(coordinates[[ref0, ref1, ref2]])
rel2 = i - self.new_index[ref2]
if i > 2:
ref3 = self._get_new_ref([ref0, ref1, ref2])
dihed, = ic.dihed_angle(coordinates[[ref0, ref1, ref2, ref3]])
rel3 = i - self.new_index[ref3]
result[i] = (self.graph.numbers[i], distance, rel1, angle, rel2, dihed, rel3)
return result | python | def cart_to_zmat(self, coordinates):
"""Convert cartesian coordinates to ZMatrix format
Argument:
coordinates -- Cartesian coordinates (numpy array Nx3)
The coordinates must match with the graph that was used to initialize
the ZMatrixGenerator object.
"""
N = len(self.graph.numbers)
if coordinates.shape != (N, 3):
raise ValueError("The shape of the coordinates must be (%i, 3)" % N)
result = np.zeros(N, dtype=self.dtype)
for i in range(N):
ref0 = self.old_index[i]
rel1 = -1
rel2 = -1
rel3 = -1
distance = 0
angle = 0
dihed = 0
if i > 0:
ref1 = self._get_new_ref([ref0])
distance = np.linalg.norm(coordinates[ref0]-coordinates[ref1])
rel1 = i - self.new_index[ref1]
if i > 1:
ref2 = self._get_new_ref([ref0, ref1])
angle, = ic.bend_angle(coordinates[[ref0, ref1, ref2]])
rel2 = i - self.new_index[ref2]
if i > 2:
ref3 = self._get_new_ref([ref0, ref1, ref2])
dihed, = ic.dihed_angle(coordinates[[ref0, ref1, ref2, ref3]])
rel3 = i - self.new_index[ref3]
result[i] = (self.graph.numbers[i], distance, rel1, angle, rel2, dihed, rel3)
return result | [
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pettarin/ipapy | ipapy/mapper.py | Mapper.can_map_ipa_string | def can_map_ipa_string(self, ipa_string):
"""
Return ``True`` if the mapper can map all the IPA characters
in the given IPA string.
:param IPAString ipa_string: the IPAString to be parsed
:rtype: bool
"""
canonical = [(c.canonical_representation, ) for c in ipa_string]
split = split_using_dictionary(canonical, self, self.max_key_length, single_char_parsing=False)
for sub in split:
if not sub in self.ipa_canonical_representation_to_mapped_str:
return False
return True | python | def can_map_ipa_string(self, ipa_string):
"""
Return ``True`` if the mapper can map all the IPA characters
in the given IPA string.
:param IPAString ipa_string: the IPAString to be parsed
:rtype: bool
"""
canonical = [(c.canonical_representation, ) for c in ipa_string]
split = split_using_dictionary(canonical, self, self.max_key_length, single_char_parsing=False)
for sub in split:
if not sub in self.ipa_canonical_representation_to_mapped_str:
return False
return True | [
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pettarin/ipapy | ipapy/mapper.py | Mapper.map_ipa_string | def map_ipa_string(self, ipa_string, ignore=False, return_as_list=False, return_can_map=False):
"""
Convert the given IPAString to a string
containing the corresponding ASCII IPA representation.
:param IPAString ipa_string: the IPAString to be parsed
:param bool ignore: if ``True``, ignore Unicode characters that are not IPA valid
:param bool return_as_list: if ``True``, return as a list of strings, one for each IPAChar,
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"""
acc = []
can_map = True
canonical = [(c.canonical_representation, ) for c in ipa_string]
split = split_using_dictionary(canonical, self, self.max_key_length, single_char_parsing=False)
for sub in split:
try:
acc.append(self.ipa_canonical_representation_to_mapped_str[sub])
except KeyError:
if ignore:
can_map = False
else:
raise ValueError("The IPA string contains an IPA character that is not mapped: %s" % sub)
mapped = acc if return_as_list else u"".join(acc)
if return_can_map:
return (can_map, mapped)
return mapped | python | def map_ipa_string(self, ipa_string, ignore=False, return_as_list=False, return_can_map=False):
"""
Convert the given IPAString to a string
containing the corresponding ASCII IPA representation.
:param IPAString ipa_string: the IPAString to be parsed
:param bool ignore: if ``True``, ignore Unicode characters that are not IPA valid
:param bool return_as_list: if ``True``, return as a list of strings, one for each IPAChar,
instead of their concatenation (single str)
:param bool return_can_map: if ``True``, return a pair ``(bool, str)``, where the first element
says if the mapper can map all the IPA characters in the given IPA string,
and the second element is either ``None`` or the mapped string/list
:rtype: str or (bool, str) or (bool, list)
"""
acc = []
can_map = True
canonical = [(c.canonical_representation, ) for c in ipa_string]
split = split_using_dictionary(canonical, self, self.max_key_length, single_char_parsing=False)
for sub in split:
try:
acc.append(self.ipa_canonical_representation_to_mapped_str[sub])
except KeyError:
if ignore:
can_map = False
else:
raise ValueError("The IPA string contains an IPA character that is not mapped: %s" % sub)
mapped = acc if return_as_list else u"".join(acc)
if return_can_map:
return (can_map, mapped)
return mapped | [
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:param bool return_as_list: if ``True``, return as a list of strings, one for each IPAChar,
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pettarin/ipapy | ipapy/mapper.py | Mapper.map_unicode_string | def map_unicode_string(self, unicode_string, ignore=False, single_char_parsing=False, return_as_list=False, return_can_map=False):
"""
Convert the given Unicode string, representing an IPA string,
to a string containing the corresponding mapped representation.
Return ``None`` if ``unicode_string`` is ``None``.
:param str unicode_string: the Unicode string to be parsed
:param bool ignore: if ``True``, ignore Unicode characters that are not IPA valid
:param bool single_char_parsing: if ``True``, parse one Unicode character at a time
:param bool return_as_list: if ``True``, return as a list of strings, one for each IPAChar,
instead of their concatenation (single str)
:param bool return_can_map: if ``True``, return a pair ``(bool, str)``, where the first element
says if the mapper can map all the IPA characters in the given IPA string,
and the second element is either ``None`` or the mapped string/list
:rtype: str or (bool, str) or (bool, list)
"""
if unicode_string is None:
return None
ipa_string = IPAString(unicode_string=unicode_string, ignore=ignore, single_char_parsing=single_char_parsing)
return self.map_ipa_string(
ipa_string=ipa_string,
ignore=ignore,
return_as_list=return_as_list,
return_can_map=return_can_map
) | python | def map_unicode_string(self, unicode_string, ignore=False, single_char_parsing=False, return_as_list=False, return_can_map=False):
"""
Convert the given Unicode string, representing an IPA string,
to a string containing the corresponding mapped representation.
Return ``None`` if ``unicode_string`` is ``None``.
:param str unicode_string: the Unicode string to be parsed
:param bool ignore: if ``True``, ignore Unicode characters that are not IPA valid
:param bool single_char_parsing: if ``True``, parse one Unicode character at a time
:param bool return_as_list: if ``True``, return as a list of strings, one for each IPAChar,
instead of their concatenation (single str)
:param bool return_can_map: if ``True``, return a pair ``(bool, str)``, where the first element
says if the mapper can map all the IPA characters in the given IPA string,
and the second element is either ``None`` or the mapped string/list
:rtype: str or (bool, str) or (bool, list)
"""
if unicode_string is None:
return None
ipa_string = IPAString(unicode_string=unicode_string, ignore=ignore, single_char_parsing=single_char_parsing)
return self.map_ipa_string(
ipa_string=ipa_string,
ignore=ignore,
return_as_list=return_as_list,
return_can_map=return_can_map
) | [
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pettarin/ipapy | ipapy/__main__.py | print_invalid_chars | def print_invalid_chars(invalid_chars, vargs):
"""
Print Unicode characterss that are not IPA valid,
if requested by the user.
:param list invalid_chars: a list (possibly empty) of invalid Unicode characters
:param dict vargs: the command line parameters
"""
if len(invalid_chars) > 0:
if vargs["print_invalid"]:
print(u"".join(invalid_chars))
if vargs["unicode"]:
for u_char in sorted(set(invalid_chars)):
print(u"'%s'\t%s\t%s" % (u_char, hex(ord(u_char)), unicodedata.name(u_char, "UNKNOWN"))) | python | def print_invalid_chars(invalid_chars, vargs):
"""
Print Unicode characterss that are not IPA valid,
if requested by the user.
:param list invalid_chars: a list (possibly empty) of invalid Unicode characters
:param dict vargs: the command line parameters
"""
if len(invalid_chars) > 0:
if vargs["print_invalid"]:
print(u"".join(invalid_chars))
if vargs["unicode"]:
for u_char in sorted(set(invalid_chars)):
print(u"'%s'\t%s\t%s" % (u_char, hex(ord(u_char)), unicodedata.name(u_char, "UNKNOWN"))) | [
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pettarin/ipapy | ipapy/__main__.py | command_canonize | def command_canonize(string, vargs):
"""
Print the canonical representation of the given string.
It will replace non-canonical compound characters
with their canonical synonym.
:param str string: the string to act upon
:param dict vargs: the command line arguments
"""
try:
ipa_string = IPAString(
unicode_string=string,
ignore=vargs["ignore"],
single_char_parsing=vargs["single_char_parsing"]
)
print(vargs["separator"].join([(u"%s" % c) for c in ipa_string]))
except ValueError as exc:
print_error(str(exc)) | python | def command_canonize(string, vargs):
"""
Print the canonical representation of the given string.
It will replace non-canonical compound characters
with their canonical synonym.
:param str string: the string to act upon
:param dict vargs: the command line arguments
"""
try:
ipa_string = IPAString(
unicode_string=string,
ignore=vargs["ignore"],
single_char_parsing=vargs["single_char_parsing"]
)
print(vargs["separator"].join([(u"%s" % c) for c in ipa_string]))
except ValueError as exc:
print_error(str(exc)) | [
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:param str string: the string to act upon
:param dict vargs: the command line arguments | [
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pettarin/ipapy | ipapy/__main__.py | command_chars | def command_chars(string, vargs):
"""
Print a list of all IPA characters in the given string.
It will print the Unicode representation, the full IPA name,
and the Unicode "U+"-prefixed hexadecimal codepoint representation
of each IPA character.
:param str string: the string to act upon
:param dict vargs: the command line arguments
"""
try:
ipa_string = IPAString(
unicode_string=string,
ignore=vargs["ignore"],
single_char_parsing=vargs["single_char_parsing"]
)
for c in ipa_string:
print(u"'%s'\t%s (%s)" % (c.unicode_repr, c.name, unicode_to_hex(c.unicode_repr)))
except ValueError as exc:
print_error(str(exc)) | python | def command_chars(string, vargs):
"""
Print a list of all IPA characters in the given string.
It will print the Unicode representation, the full IPA name,
and the Unicode "U+"-prefixed hexadecimal codepoint representation
of each IPA character.
:param str string: the string to act upon
:param dict vargs: the command line arguments
"""
try:
ipa_string = IPAString(
unicode_string=string,
ignore=vargs["ignore"],
single_char_parsing=vargs["single_char_parsing"]
)
for c in ipa_string:
print(u"'%s'\t%s (%s)" % (c.unicode_repr, c.name, unicode_to_hex(c.unicode_repr)))
except ValueError as exc:
print_error(str(exc)) | [
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:param str string: the string to act upon
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pettarin/ipapy | ipapy/__main__.py | command_check | def command_check(string, vargs):
"""
Check if the given string is IPA valid.
If the given string is not IPA valid,
print the invalid characters.
:param str string: the string to act upon
:param dict vargs: the command line arguments
"""
is_valid = is_valid_ipa(string)
print(is_valid)
if not is_valid:
valid_chars, invalid_chars = remove_invalid_ipa_characters(
unicode_string=string,
return_invalid=True
)
print_invalid_chars(invalid_chars, vargs) | python | def command_check(string, vargs):
"""
Check if the given string is IPA valid.
If the given string is not IPA valid,
print the invalid characters.
:param str string: the string to act upon
:param dict vargs: the command line arguments
"""
is_valid = is_valid_ipa(string)
print(is_valid)
if not is_valid:
valid_chars, invalid_chars = remove_invalid_ipa_characters(
unicode_string=string,
return_invalid=True
)
print_invalid_chars(invalid_chars, vargs) | [
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pettarin/ipapy | ipapy/__main__.py | command_clean | def command_clean(string, vargs):
"""
Remove characters that are not IPA valid from the given string,
and print the remaining string.
:param str string: the string to act upon
:param dict vargs: the command line arguments
"""
valid_chars, invalid_chars = remove_invalid_ipa_characters(
unicode_string=string,
return_invalid=True,
single_char_parsing=vargs["single_char_parsing"]
)
print(u"".join(valid_chars))
print_invalid_chars(invalid_chars, vargs) | python | def command_clean(string, vargs):
"""
Remove characters that are not IPA valid from the given string,
and print the remaining string.
:param str string: the string to act upon
:param dict vargs: the command line arguments
"""
valid_chars, invalid_chars = remove_invalid_ipa_characters(
unicode_string=string,
return_invalid=True,
single_char_parsing=vargs["single_char_parsing"]
)
print(u"".join(valid_chars))
print_invalid_chars(invalid_chars, vargs) | [
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pettarin/ipapy | ipapy/__main__.py | command_u2a | def command_u2a(string, vargs):
"""
Print the ARPABEY ASCII string corresponding to the given Unicode IPA string.
:param str string: the string to act upon
:param dict vargs: the command line arguments
"""
try:
l = ARPABETMapper().map_unicode_string(
unicode_string=string,
ignore=vargs["ignore"],
single_char_parsing=vargs["single_char_parsing"],
return_as_list=True
)
print(vargs["separator"].join(l))
except ValueError as exc:
print_error(str(exc)) | python | def command_u2a(string, vargs):
"""
Print the ARPABEY ASCII string corresponding to the given Unicode IPA string.
:param str string: the string to act upon
:param dict vargs: the command line arguments
"""
try:
l = ARPABETMapper().map_unicode_string(
unicode_string=string,
ignore=vargs["ignore"],
single_char_parsing=vargs["single_char_parsing"],
return_as_list=True
)
print(vargs["separator"].join(l))
except ValueError as exc:
print_error(str(exc)) | [
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:param dict vargs: the command line arguments | [
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pettarin/ipapy | ipapy/__main__.py | command_u2k | def command_u2k(string, vargs):
"""
Print the Kirshenbaum ASCII string corresponding to the given Unicode IPA string.
:param str string: the string to act upon
:param dict vargs: the command line arguments
"""
try:
l = KirshenbaumMapper().map_unicode_string(
unicode_string=string,
ignore=vargs["ignore"],
single_char_parsing=vargs["single_char_parsing"],
return_as_list=True
)
print(vargs["separator"].join(l))
except ValueError as exc:
print_error(str(exc)) | python | def command_u2k(string, vargs):
"""
Print the Kirshenbaum ASCII string corresponding to the given Unicode IPA string.
:param str string: the string to act upon
:param dict vargs: the command line arguments
"""
try:
l = KirshenbaumMapper().map_unicode_string(
unicode_string=string,
ignore=vargs["ignore"],
single_char_parsing=vargs["single_char_parsing"],
return_as_list=True
)
print(vargs["separator"].join(l))
except ValueError as exc:
print_error(str(exc)) | [
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pettarin/ipapy | ipapy/__main__.py | main | def main():
"""
Entry point.
"""
parser = argparse.ArgumentParser(description=DESCRIPTION)
for arg in ARGUMENTS:
if "action" in arg:
if arg["short"] is not None:
parser.add_argument(arg["short"], arg["long"], action=arg["action"], help=arg["help"])
else:
parser.add_argument(arg["long"], action=arg["action"], help=arg["help"])
else:
if arg["short"] is not None:
parser.add_argument(arg["short"], arg["long"], nargs=arg["nargs"], type=arg["type"], default=arg["default"], help=arg["help"])
else:
parser.add_argument(arg["long"], nargs=arg["nargs"], type=arg["type"], default=arg["default"], help=arg["help"])
vargs = vars(parser.parse_args())
command = vargs["command"]
string = to_unicode_string(vargs["string"])
if command not in COMMAND_MAP:
parser.print_help()
sys.exit(2)
COMMAND_MAP[command](string, vargs)
sys.exit(0) | python | def main():
"""
Entry point.
"""
parser = argparse.ArgumentParser(description=DESCRIPTION)
for arg in ARGUMENTS:
if "action" in arg:
if arg["short"] is not None:
parser.add_argument(arg["short"], arg["long"], action=arg["action"], help=arg["help"])
else:
parser.add_argument(arg["long"], action=arg["action"], help=arg["help"])
else:
if arg["short"] is not None:
parser.add_argument(arg["short"], arg["long"], nargs=arg["nargs"], type=arg["type"], default=arg["default"], help=arg["help"])
else:
parser.add_argument(arg["long"], nargs=arg["nargs"], type=arg["type"], default=arg["default"], help=arg["help"])
vargs = vars(parser.parse_args())
command = vargs["command"]
string = to_unicode_string(vargs["string"])
if command not in COMMAND_MAP:
parser.print_help()
sys.exit(2)
COMMAND_MAP[command](string, vargs)
sys.exit(0) | [
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pettarin/ipapy | ipapy/ipastring.py | IPAString.ipa_chars | def ipa_chars(self, value):
"""
Set the list of IPAChar objects composing the IPA string
:param list value: list of IPAChar objects
"""
if value is None:
self.__ipa_chars = []
else:
if is_list_of_ipachars(value):
self.__ipa_chars = value
else:
raise TypeError("ipa_chars only accepts a list of IPAChar objects") | python | def ipa_chars(self, value):
"""
Set the list of IPAChar objects composing the IPA string
:param list value: list of IPAChar objects
"""
if value is None:
self.__ipa_chars = []
else:
if is_list_of_ipachars(value):
self.__ipa_chars = value
else:
raise TypeError("ipa_chars only accepts a list of IPAChar objects") | [
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pettarin/ipapy | ipapy/ipastring.py | IPAString.is_equivalent | def is_equivalent(self, other, ignore=False):
"""
Return ``True`` if the IPA string is equivalent to the ``other`` object.
The ``other`` object can be:
1. a Unicode string,
2. a list of IPAChar objects, and
3. another IPAString.
:param variant other: the object to be compared against
:param bool ignore: if other is a Unicode string, ignore Unicode characters not IPA valid
:rtype: bool
"""
def is_equivalent_to_list_of_ipachars(other):
"""
Return ``True`` if the list of IPAChar objects
in the canonical representation of the string
is the same as the given list.
:param list other: list of IPAChar objects
:rtype: bool
"""
my_ipa_chars = self.canonical_representation.ipa_chars
if len(my_ipa_chars) != len(other):
return False
for i in range(len(my_ipa_chars)):
if not my_ipa_chars[i].is_equivalent(other[i]):
return False
return True
if is_unicode_string(other):
try:
return is_equivalent_to_list_of_ipachars(IPAString(unicode_string=other, ignore=ignore).ipa_chars)
except:
return False
if is_list_of_ipachars(other):
try:
return is_equivalent_to_list_of_ipachars(other)
except:
return False
if isinstance(other, IPAString):
return is_equivalent_to_list_of_ipachars(other.canonical_representation.ipa_chars)
return False | python | def is_equivalent(self, other, ignore=False):
"""
Return ``True`` if the IPA string is equivalent to the ``other`` object.
The ``other`` object can be:
1. a Unicode string,
2. a list of IPAChar objects, and
3. another IPAString.
:param variant other: the object to be compared against
:param bool ignore: if other is a Unicode string, ignore Unicode characters not IPA valid
:rtype: bool
"""
def is_equivalent_to_list_of_ipachars(other):
"""
Return ``True`` if the list of IPAChar objects
in the canonical representation of the string
is the same as the given list.
:param list other: list of IPAChar objects
:rtype: bool
"""
my_ipa_chars = self.canonical_representation.ipa_chars
if len(my_ipa_chars) != len(other):
return False
for i in range(len(my_ipa_chars)):
if not my_ipa_chars[i].is_equivalent(other[i]):
return False
return True
if is_unicode_string(other):
try:
return is_equivalent_to_list_of_ipachars(IPAString(unicode_string=other, ignore=ignore).ipa_chars)
except:
return False
if is_list_of_ipachars(other):
try:
return is_equivalent_to_list_of_ipachars(other)
except:
return False
if isinstance(other, IPAString):
return is_equivalent_to_list_of_ipachars(other.canonical_representation.ipa_chars)
return False | [
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The ``other`` object can be:
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:param variant other: the object to be compared against
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pettarin/ipapy | ipapy/ipastring.py | IPAString.canonical_representation | def canonical_representation(self):
"""
Return a new IPAString, containing the canonical representation of the current string,
that is, the one composed by the (prefix) minimum number of IPAChar objects.
:rtype: IPAString
"""
return IPAString(unicode_string=u"".join([c.__unicode__() for c in self.ipa_chars])) | python | def canonical_representation(self):
"""
Return a new IPAString, containing the canonical representation of the current string,
that is, the one composed by the (prefix) minimum number of IPAChar objects.
:rtype: IPAString
"""
return IPAString(unicode_string=u"".join([c.__unicode__() for c in self.ipa_chars])) | [
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pettarin/ipapy | ipapy/ipastring.py | IPAString.filter_chars | def filter_chars(self, chars=u""):
"""
Return a new IPAString, containing only the IPA characters specified
by the ``chars`` string.
Valid values for ``chars`` are:
* ``consonants`` or ``cns``
* ``vowels`` or ``vwl``
* ``letters`` or ``cns_vwl``
* ``cns_vwl_pstr`` or ``cvp``
* ``cns_vwl_pstr_long`` or ``cvpl``
* ``cns_vwl_str`` or ``cvs``
* ``cns_vwl_str_len`` or ``cvsl``
* ``cns_vwl_str_len_wb`` or ``cvslw``
* ``cns_vwl_str_len_wb_sb`` or ``cvslws``
:rtype: IPAString
"""
if chars in [u"cns", u"consonants"]:
return self.consonants
elif chars in [u"vwl", u"vowels"]:
return self.vowels
elif chars in [u"cns_vwl", u"letters"]:
return self.letters
elif chars in [u"cns_vwl_pstr", u"cvp"]:
return self.cns_vwl_pstr
elif chars in [u"cns_vwl_pstr_long", u"cvpl"]:
return self.cns_vwl_pstr_long
elif chars in [u"cns_vwl_str", u"cvs"]:
return self.cns_vwl_str
elif chars in [u"cns_vwl_str_len", u"cvsl"]:
return self.cns_vwl_str_len
elif chars in [u"cns_vwl_str_len_wb", u"cvslw"]:
return self.cns_vwl_str_len_wb
elif chars in [u"cns_vwl_str_len_wb_sb", u"cvslws"]:
return self.cns_vwl_str_len_wb_sb
return self | python | def filter_chars(self, chars=u""):
"""
Return a new IPAString, containing only the IPA characters specified
by the ``chars`` string.
Valid values for ``chars`` are:
* ``consonants`` or ``cns``
* ``vowels`` or ``vwl``
* ``letters`` or ``cns_vwl``
* ``cns_vwl_pstr`` or ``cvp``
* ``cns_vwl_pstr_long`` or ``cvpl``
* ``cns_vwl_str`` or ``cvs``
* ``cns_vwl_str_len`` or ``cvsl``
* ``cns_vwl_str_len_wb`` or ``cvslw``
* ``cns_vwl_str_len_wb_sb`` or ``cvslws``
:rtype: IPAString
"""
if chars in [u"cns", u"consonants"]:
return self.consonants
elif chars in [u"vwl", u"vowels"]:
return self.vowels
elif chars in [u"cns_vwl", u"letters"]:
return self.letters
elif chars in [u"cns_vwl_pstr", u"cvp"]:
return self.cns_vwl_pstr
elif chars in [u"cns_vwl_pstr_long", u"cvpl"]:
return self.cns_vwl_pstr_long
elif chars in [u"cns_vwl_str", u"cvs"]:
return self.cns_vwl_str
elif chars in [u"cns_vwl_str_len", u"cvsl"]:
return self.cns_vwl_str_len
elif chars in [u"cns_vwl_str_len_wb", u"cvslw"]:
return self.cns_vwl_str_len_wb
elif chars in [u"cns_vwl_str_len_wb_sb", u"cvslws"]:
return self.cns_vwl_str_len_wb_sb
return self | [
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pettarin/ipapy | ipapy/ipastring.py | IPAString.consonants | def consonants(self):
"""
Return a new IPAString, containing only the consonants in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if c.is_consonant]) | python | def consonants(self):
"""
Return a new IPAString, containing only the consonants in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if c.is_consonant]) | [
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pettarin/ipapy | ipapy/ipastring.py | IPAString.vowels | def vowels(self):
"""
Return a new IPAString, containing only the vowels in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if c.is_vowel]) | python | def vowels(self):
"""
Return a new IPAString, containing only the vowels in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if c.is_vowel]) | [
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pettarin/ipapy | ipapy/ipastring.py | IPAString.cns_vwl | def cns_vwl(self):
"""
Return a new IPAString, containing only:
1. the consonants, and
2. the vowels
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if c.is_letter]) | python | def cns_vwl(self):
"""
Return a new IPAString, containing only:
1. the consonants, and
2. the vowels
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if c.is_letter]) | [
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pettarin/ipapy | ipapy/ipastring.py | IPAString.cns_vwl_pstr | def cns_vwl_pstr(self):
"""
Return a new IPAString, containing only:
1. the consonants,
2. the vowels, and
3. the primary stress diacritics
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if (c.is_letter) or (c.is_suprasegmental and c.is_primary_stress)]) | python | def cns_vwl_pstr(self):
"""
Return a new IPAString, containing only:
1. the consonants,
2. the vowels, and
3. the primary stress diacritics
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if (c.is_letter) or (c.is_suprasegmental and c.is_primary_stress)]) | [
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pettarin/ipapy | ipapy/ipastring.py | IPAString.cns_vwl_str | def cns_vwl_str(self):
"""
Return a new IPAString, containing only:
1. the consonants,
2. the vowels, and
3. the stress diacritics
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if (c.is_letter) or (c.is_suprasegmental and c.is_stress)]) | python | def cns_vwl_str(self):
"""
Return a new IPAString, containing only:
1. the consonants,
2. the vowels, and
3. the stress diacritics
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if (c.is_letter) or (c.is_suprasegmental and c.is_stress)]) | [
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pettarin/ipapy | ipapy/ipastring.py | IPAString.cns_vwl_str_len | def cns_vwl_str_len(self):
"""
Return a new IPAString, containing only:
1. the consonants,
2. the vowels, and
3. the stress diacritics, and
4. the length diacritics
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if (c.is_letter) or (c.is_suprasegmental and (c.is_stress or c.is_length))]) | python | def cns_vwl_str_len(self):
"""
Return a new IPAString, containing only:
1. the consonants,
2. the vowels, and
3. the stress diacritics, and
4. the length diacritics
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if (c.is_letter) or (c.is_suprasegmental and (c.is_stress or c.is_length))]) | [
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pettarin/ipapy | ipapy/ipastring.py | IPAString.cns_vwl_pstr_long | def cns_vwl_pstr_long(self):
"""
Return a new IPAString, containing only:
1. the consonants,
2. the vowels, and
3. the primary stress diacritics, and
4. the long suprasegmental
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if (c.is_letter) or (c.is_suprasegmental and (c.is_primary_stress or c.is_long))]) | python | def cns_vwl_pstr_long(self):
"""
Return a new IPAString, containing only:
1. the consonants,
2. the vowels, and
3. the primary stress diacritics, and
4. the long suprasegmental
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if (c.is_letter) or (c.is_suprasegmental and (c.is_primary_stress or c.is_long))]) | [
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pettarin/ipapy | ipapy/ipastring.py | IPAString.cns_vwl_str_len_wb | def cns_vwl_str_len_wb(self):
"""
Return a new IPAString, containing only:
1. the consonants,
2. the vowels, and
3. the stress diacritics,
4. the length diacritics, and
5. the word breaks
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if (c.is_letter) or (c.is_suprasegmental and (c.is_stress or c.is_length or c.is_word_break))]) | python | def cns_vwl_str_len_wb(self):
"""
Return a new IPAString, containing only:
1. the consonants,
2. the vowels, and
3. the stress diacritics,
4. the length diacritics, and
5. the word breaks
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if (c.is_letter) or (c.is_suprasegmental and (c.is_stress or c.is_length or c.is_word_break))]) | [
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pettarin/ipapy | ipapy/ipastring.py | IPAString.cns_vwl_str_len_wb_sb | def cns_vwl_str_len_wb_sb(self):
"""
Return a new IPAString, containing only:
1. the consonants,
2. the vowels, and
3. the stress diacritics,
4. the length diacritics,
5. the word breaks, and
6. the syllable breaks
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if (c.is_letter) or (c.is_suprasegmental and (c.is_stress or c.is_length or c.is_word_break or c.is_syllable_break))]) | python | def cns_vwl_str_len_wb_sb(self):
"""
Return a new IPAString, containing only:
1. the consonants,
2. the vowels, and
3. the stress diacritics,
4. the length diacritics,
5. the word breaks, and
6. the syllable breaks
in the current string.
:rtype: IPAString
"""
return IPAString(ipa_chars=[c for c in self.ipa_chars if (c.is_letter) or (c.is_suprasegmental and (c.is_stress or c.is_length or c.is_word_break or c.is_syllable_break))]) | [
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pettarin/ipapy | ipapy/data/__init__.py | convert_unicode_field | def convert_unicode_field(string):
"""
Convert a Unicode field into the corresponding list of Unicode strings.
The (input) Unicode field is a Unicode string containing
one or more Unicode codepoints (``xxxx`` or ``U+xxxx`` or ``xxxx_yyyy``),
separated by a space.
:param str string: the (input) Unicode field
:rtype: list of Unicode strings
"""
values = []
for codepoint in [s for s in string.split(DATA_FILE_CODEPOINT_SEPARATOR) if (s != DATA_FILE_VALUE_NOT_AVAILABLE) and (len(s) > 0)]:
values.append(u"".join([hex_to_unichr(c) for c in codepoint.split(DATA_FILE_CODEPOINT_JOINER)]))
return values | python | def convert_unicode_field(string):
"""
Convert a Unicode field into the corresponding list of Unicode strings.
The (input) Unicode field is a Unicode string containing
one or more Unicode codepoints (``xxxx`` or ``U+xxxx`` or ``xxxx_yyyy``),
separated by a space.
:param str string: the (input) Unicode field
:rtype: list of Unicode strings
"""
values = []
for codepoint in [s for s in string.split(DATA_FILE_CODEPOINT_SEPARATOR) if (s != DATA_FILE_VALUE_NOT_AVAILABLE) and (len(s) > 0)]:
values.append(u"".join([hex_to_unichr(c) for c in codepoint.split(DATA_FILE_CODEPOINT_JOINER)]))
return values | [
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pettarin/ipapy | ipapy/data/__init__.py | convert_ascii_field | def convert_ascii_field(string):
"""
Convert an ASCII field into the corresponding list of Unicode strings.
The (input) ASCII field is a Unicode string containing
one or more ASCII codepoints (``00xx`` or ``U+00xx`` or
an ASCII string not starting with ``00`` or ``U+``),
separated by a space.
:param str string: the (input) ASCII field
:rtype: list of Unicode strings
"""
values = []
for codepoint in [s for s in string.split(DATA_FILE_CODEPOINT_SEPARATOR) if (s != DATA_FILE_VALUE_NOT_AVAILABLE) and (len(s) > 0)]:
#if DATA_FILE_CODEPOINT_JOINER in codepoint:
# values.append(u"".join([hex_to_unichr(c) for c in codepoint.split(DATA_FILE_CODEPOINT_JOINER)]))
if (codepoint.startswith(DATA_FILE_ASCII_NUMERICAL_CODEPOINT_START)) or (codepoint.startswith(DATA_FILE_ASCII_UNICODE_CODEPOINT_START)):
values.append(hex_to_unichr(codepoint))
else:
values.append(codepoint)
return values | python | def convert_ascii_field(string):
"""
Convert an ASCII field into the corresponding list of Unicode strings.
The (input) ASCII field is a Unicode string containing
one or more ASCII codepoints (``00xx`` or ``U+00xx`` or
an ASCII string not starting with ``00`` or ``U+``),
separated by a space.
:param str string: the (input) ASCII field
:rtype: list of Unicode strings
"""
values = []
for codepoint in [s for s in string.split(DATA_FILE_CODEPOINT_SEPARATOR) if (s != DATA_FILE_VALUE_NOT_AVAILABLE) and (len(s) > 0)]:
#if DATA_FILE_CODEPOINT_JOINER in codepoint:
# values.append(u"".join([hex_to_unichr(c) for c in codepoint.split(DATA_FILE_CODEPOINT_JOINER)]))
if (codepoint.startswith(DATA_FILE_ASCII_NUMERICAL_CODEPOINT_START)) or (codepoint.startswith(DATA_FILE_ASCII_UNICODE_CODEPOINT_START)):
values.append(hex_to_unichr(codepoint))
else:
values.append(codepoint)
return values | [
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pettarin/ipapy | ipapy/data/__init__.py | convert_raw_tuple | def convert_raw_tuple(value_tuple, format_string):
"""
Convert a tuple of raw values, according to the given line format.
:param tuple value_tuple: the tuple of raw values
:param str format_string: the format of the tuple
:rtype: list of tuples
"""
values = []
for v, c in zip(value_tuple, format_string):
if v is None:
# append None
values.append(v)
elif c == u"s":
# string
values.append(v)
elif c == u"S":
# string, split using space as delimiter
values.append([s for s in v.split(u" ") if len(s) > 0])
elif c == u"i":
# int
values.append(int(v))
elif c == u"U":
# Unicode
values.append(convert_unicode_field(v))
elif c == u"A":
# ASCII
values.append(convert_ascii_field(v))
#elif c == u"x":
# # ignore
# pass
return tuple(values) | python | def convert_raw_tuple(value_tuple, format_string):
"""
Convert a tuple of raw values, according to the given line format.
:param tuple value_tuple: the tuple of raw values
:param str format_string: the format of the tuple
:rtype: list of tuples
"""
values = []
for v, c in zip(value_tuple, format_string):
if v is None:
# append None
values.append(v)
elif c == u"s":
# string
values.append(v)
elif c == u"S":
# string, split using space as delimiter
values.append([s for s in v.split(u" ") if len(s) > 0])
elif c == u"i":
# int
values.append(int(v))
elif c == u"U":
# Unicode
values.append(convert_unicode_field(v))
elif c == u"A":
# ASCII
values.append(convert_ascii_field(v))
#elif c == u"x":
# # ignore
# pass
return tuple(values) | [
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pettarin/ipapy | ipapy/data/__init__.py | load_data_file | def load_data_file(
file_path,
file_path_is_relative=False,
comment_string=DATA_FILE_COMMENT,
field_separator=DATA_FILE_FIELD_SEPARATOR,
line_format=None
):
"""
Load a data file, with one record per line and
fields separated by ``field_separator``,
returning a list of tuples.
It ignores lines starting with ``comment_string`` or empty lines.
If ``values_per_line`` is not ``None``,
check that each line (tuple)
has the prescribed number of values.
:param str file_path: path of the data file to load
:param bool file_path_is_relative: if ``True``, ``file_path`` is relative to this source code file
:param str comment_string: ignore lines starting with this string
:param str field_separator: fields are separated by this string
:param str line_format: if not ``None``, parses each line according to the given format
(``s`` = string, ``S`` = split string using spaces,
``i`` = int, ``x`` = ignore, ``U`` = Unicode, ``A`` = ASCII)
:rtype: list of tuples
"""
raw_tuples = []
if file_path_is_relative:
file_path = os.path.join(os.path.dirname(__file__), file_path)
with io.open(file_path, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if (len(line) > 0) and (not line.startswith(comment_string)):
raw_list = line.split(field_separator)
if len(raw_list) != len(line_format):
raise ValueError("Data file '%s' contains a bad line: '%s'" % (file_path, line))
raw_tuples.append(tuple(raw_list))
if (line_format is None) or (len(line_format) < 1):
return raw_tuples
return [convert_raw_tuple(t, line_format) for t in raw_tuples] | python | def load_data_file(
file_path,
file_path_is_relative=False,
comment_string=DATA_FILE_COMMENT,
field_separator=DATA_FILE_FIELD_SEPARATOR,
line_format=None
):
"""
Load a data file, with one record per line and
fields separated by ``field_separator``,
returning a list of tuples.
It ignores lines starting with ``comment_string`` or empty lines.
If ``values_per_line`` is not ``None``,
check that each line (tuple)
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:param str file_path: path of the data file to load
:param bool file_path_is_relative: if ``True``, ``file_path`` is relative to this source code file
:param str comment_string: ignore lines starting with this string
:param str field_separator: fields are separated by this string
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(``s`` = string, ``S`` = split string using spaces,
``i`` = int, ``x`` = ignore, ``U`` = Unicode, ``A`` = ASCII)
:rtype: list of tuples
"""
raw_tuples = []
if file_path_is_relative:
file_path = os.path.join(os.path.dirname(__file__), file_path)
with io.open(file_path, "r", encoding="utf-8") as f:
for line in f:
line = line.strip()
if (len(line) > 0) and (not line.startswith(comment_string)):
raw_list = line.split(field_separator)
if len(raw_list) != len(line_format):
raise ValueError("Data file '%s' contains a bad line: '%s'" % (file_path, line))
raw_tuples.append(tuple(raw_list))
if (line_format is None) or (len(line_format) < 1):
return raw_tuples
return [convert_raw_tuple(t, line_format) for t in raw_tuples] | [
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pettarin/ipapy | ipapy/data/__init__.py | load_ipa_data | def load_ipa_data():
"""
Load the IPA data from the built-in IPA database, creating the following globals:
1. ``IPA_CHARS``: list of all IPAChar objects
2. ``UNICODE_TO_IPA``: dict mapping a Unicode string (often, a single char) to an IPAChar
3. ``UNICODE_TO_IPA_MAX_KEY_LENGTH``: length of a longest key in ``UNICODE_TO_IPA``
4. ``IPA_TO_UNICODE``: map an IPAChar canonical representation to the corresponding Unicode string (or char)
"""
ipa_signs = []
unicode_to_ipa = {}
ipa_to_unicode = {}
max_key_length = 0
for line in load_data_file(
file_path=u"ipa.dat",
file_path_is_relative=True,
line_format=u"sU"
):
# unpack data
i_desc, i_unicode_keys = line
name = re.sub(r" [ ]*", " ", i_desc)
# create a suitable IPACharacter obj
if u"consonant" in i_desc:
obj = IPAConsonant(name=name, descriptors=i_desc)
elif u"vowel" in i_desc:
obj = IPAVowel(name=name, descriptors=i_desc)
elif u"diacritic" in i_desc:
obj = IPADiacritic(name=name, descriptors=i_desc)
elif u"suprasegmental" in i_desc:
obj = IPASuprasegmental(name=name, descriptors=i_desc)
elif u"tone" in i_desc:
obj = IPATone(name=name, descriptors=i_desc)
else:
raise ValueError("The IPA data file contains a bad line, defining an unknown type: '%s'" % (line))
ipa_signs.append(obj)
# map Unicode codepoint to object, if the former is available
if len(i_unicode_keys) > 0:
# canonical Unicode string
first_key = i_unicode_keys[0]
ipa_to_unicode[obj.canonical_representation] = first_key
obj.unicode_repr = first_key
max_key_length = max(max_key_length, len(first_key))
# add all Unicode strings
for key in i_unicode_keys:
if key in unicode_to_ipa:
raise ValueError("The IPA data file contains a bad line, redefining codepoint '%s': '%s'" % (key, line))
unicode_to_ipa[key] = obj
return ipa_signs, unicode_to_ipa, max_key_length, ipa_to_unicode | python | def load_ipa_data():
"""
Load the IPA data from the built-in IPA database, creating the following globals:
1. ``IPA_CHARS``: list of all IPAChar objects
2. ``UNICODE_TO_IPA``: dict mapping a Unicode string (often, a single char) to an IPAChar
3. ``UNICODE_TO_IPA_MAX_KEY_LENGTH``: length of a longest key in ``UNICODE_TO_IPA``
4. ``IPA_TO_UNICODE``: map an IPAChar canonical representation to the corresponding Unicode string (or char)
"""
ipa_signs = []
unicode_to_ipa = {}
ipa_to_unicode = {}
max_key_length = 0
for line in load_data_file(
file_path=u"ipa.dat",
file_path_is_relative=True,
line_format=u"sU"
):
# unpack data
i_desc, i_unicode_keys = line
name = re.sub(r" [ ]*", " ", i_desc)
# create a suitable IPACharacter obj
if u"consonant" in i_desc:
obj = IPAConsonant(name=name, descriptors=i_desc)
elif u"vowel" in i_desc:
obj = IPAVowel(name=name, descriptors=i_desc)
elif u"diacritic" in i_desc:
obj = IPADiacritic(name=name, descriptors=i_desc)
elif u"suprasegmental" in i_desc:
obj = IPASuprasegmental(name=name, descriptors=i_desc)
elif u"tone" in i_desc:
obj = IPATone(name=name, descriptors=i_desc)
else:
raise ValueError("The IPA data file contains a bad line, defining an unknown type: '%s'" % (line))
ipa_signs.append(obj)
# map Unicode codepoint to object, if the former is available
if len(i_unicode_keys) > 0:
# canonical Unicode string
first_key = i_unicode_keys[0]
ipa_to_unicode[obj.canonical_representation] = first_key
obj.unicode_repr = first_key
max_key_length = max(max_key_length, len(first_key))
# add all Unicode strings
for key in i_unicode_keys:
if key in unicode_to_ipa:
raise ValueError("The IPA data file contains a bad line, redefining codepoint '%s': '%s'" % (key, line))
unicode_to_ipa[key] = obj
return ipa_signs, unicode_to_ipa, max_key_length, ipa_to_unicode | [
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pettarin/ipapy | ipapy/__init__.py | split_using_dictionary | def split_using_dictionary(string, dictionary, max_key_length, single_char_parsing=False):
"""
Return a list of (non-empty) substrings of the given string,
where each substring is either:
1. the longest string starting at the current index
that is a key in the dictionary, or
2. a single character that is not a key in the dictionary.
If ``single_char_parsing`` is ``False``,
parse the string one Unicode character at a time,
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:param dict dictionary: the dictionary mapping atoms ("characters") to something else
:param int max_key_length: the length of a longest key, in number of characters
:param bool single_char_parsing: if ``True``, parse one Unicode character at a time
"""
def substring(string, i, j):
if isinstance(string[i], tuple):
# transform list of tuples with one element in a tuple with all elements
return tuple([string[k][0] for k in range(i, j)])
# just return substring
return string[i:j]
if string is None:
return None
if (single_char_parsing) or (max_key_length < 2):
return [c for c in string]
acc = []
l = len(string)
i = 0
while i < l:
found = False
for j in range(min(i + max_key_length, l), i, -1):
sub = substring(string, i, j)
if sub in dictionary:
found = True
acc.append(sub)
i = j
break
if not found:
acc.append(string[i])
i += 1
return acc | python | def split_using_dictionary(string, dictionary, max_key_length, single_char_parsing=False):
"""
Return a list of (non-empty) substrings of the given string,
where each substring is either:
1. the longest string starting at the current index
that is a key in the dictionary, or
2. a single character that is not a key in the dictionary.
If ``single_char_parsing`` is ``False``,
parse the string one Unicode character at a time,
that is, do not perform the greedy parsing.
:param iterable string: the iterable object ("string") to split into atoms
:param dict dictionary: the dictionary mapping atoms ("characters") to something else
:param int max_key_length: the length of a longest key, in number of characters
:param bool single_char_parsing: if ``True``, parse one Unicode character at a time
"""
def substring(string, i, j):
if isinstance(string[i], tuple):
# transform list of tuples with one element in a tuple with all elements
return tuple([string[k][0] for k in range(i, j)])
# just return substring
return string[i:j]
if string is None:
return None
if (single_char_parsing) or (max_key_length < 2):
return [c for c in string]
acc = []
l = len(string)
i = 0
while i < l:
found = False
for j in range(min(i + max_key_length, l), i, -1):
sub = substring(string, i, j)
if sub in dictionary:
found = True
acc.append(sub)
i = j
break
if not found:
acc.append(string[i])
i += 1
return acc | [
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pettarin/ipapy | ipapy/__init__.py | ipa_substrings | def ipa_substrings(unicode_string, single_char_parsing=False):
"""
Return a list of (non-empty) substrings of the given string,
where each substring is either:
1. the longest Unicode string starting at the current index
representing a (known) valid IPA character, or
2. a single Unicode character (which is not IPA valid).
If ``single_char_parsing`` is ``False``,
parse the string one Unicode character at a time,
that is, do not perform the greedy parsing.
For example, if ``s = u"\u006e\u0361\u006d"``,
with ``single_char_parsing=True`` the result will be
a list with a single element: ``[u"\u006e\u0361\u006d"]``,
while ``single_char_parsing=False`` will yield a list with three elements:
``[u"\u006e", u"\u0361", u"\u006d"]``.
Return ``None`` if ``unicode_string`` is ``None``.
:param str unicode_string: the Unicode string to be parsed
:param bool single_char_parsing: if ``True``, parse one Unicode character at a time
:rtype: list of str
"""
return split_using_dictionary(
string=unicode_string,
dictionary=UNICODE_TO_IPA,
max_key_length=UNICODE_TO_IPA_MAX_KEY_LENGTH,
single_char_parsing=single_char_parsing
) | python | def ipa_substrings(unicode_string, single_char_parsing=False):
"""
Return a list of (non-empty) substrings of the given string,
where each substring is either:
1. the longest Unicode string starting at the current index
representing a (known) valid IPA character, or
2. a single Unicode character (which is not IPA valid).
If ``single_char_parsing`` is ``False``,
parse the string one Unicode character at a time,
that is, do not perform the greedy parsing.
For example, if ``s = u"\u006e\u0361\u006d"``,
with ``single_char_parsing=True`` the result will be
a list with a single element: ``[u"\u006e\u0361\u006d"]``,
while ``single_char_parsing=False`` will yield a list with three elements:
``[u"\u006e", u"\u0361", u"\u006d"]``.
Return ``None`` if ``unicode_string`` is ``None``.
:param str unicode_string: the Unicode string to be parsed
:param bool single_char_parsing: if ``True``, parse one Unicode character at a time
:rtype: list of str
"""
return split_using_dictionary(
string=unicode_string,
dictionary=UNICODE_TO_IPA,
max_key_length=UNICODE_TO_IPA_MAX_KEY_LENGTH,
single_char_parsing=single_char_parsing
) | [
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pettarin/ipapy | ipapy/__init__.py | invalid_ipa_characters | def invalid_ipa_characters(unicode_string, indices=False):
"""
Return the list of Unicode characters
in the given Unicode string
that are not IPA valid.
Return ``None`` if ``unicode_string`` is ``None``.
:param str unicode_string: the Unicode string to be parsed
:param bool indices: if ``True``, return a list of pairs (index, invalid character),
instead of a list of str (characters).
:rtype: list of str or list of (int, str)
"""
if unicode_string is None:
return None
if indices:
return [(i, unicode_string[i]) for i in range(len(unicode_string)) if unicode_string[i] not in UNICODE_TO_IPA]
return set([c for c in unicode_string if c not in UNICODE_TO_IPA]) | python | def invalid_ipa_characters(unicode_string, indices=False):
"""
Return the list of Unicode characters
in the given Unicode string
that are not IPA valid.
Return ``None`` if ``unicode_string`` is ``None``.
:param str unicode_string: the Unicode string to be parsed
:param bool indices: if ``True``, return a list of pairs (index, invalid character),
instead of a list of str (characters).
:rtype: list of str or list of (int, str)
"""
if unicode_string is None:
return None
if indices:
return [(i, unicode_string[i]) for i in range(len(unicode_string)) if unicode_string[i] not in UNICODE_TO_IPA]
return set([c for c in unicode_string if c not in UNICODE_TO_IPA]) | [
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pettarin/ipapy | ipapy/__init__.py | remove_invalid_ipa_characters | def remove_invalid_ipa_characters(unicode_string, return_invalid=False, single_char_parsing=False):
"""
Remove all Unicode characters that are not IPA valid
from the given string,
and return a list of substrings of the given string,
each mapping to a (known) valid IPA character.
Return ``None`` if ``unicode_string`` is ``None``.
:param str unicode_string: the Unicode string to be parsed
:param bool return_invalid: if ``True``, return a pair ``(valid, invalid)``,
where ``invalid`` is a list of Unicode characters
that are not IPA valid.
:param bool single_char_parsing: if ``True``, parse one Unicode character at a time
:rtype: list of str
"""
if unicode_string is None:
return None
substrings = ipa_substrings(unicode_string, single_char_parsing=single_char_parsing)
valid = [s for s in substrings if s in UNICODE_TO_IPA]
if return_invalid:
return (valid, [s for s in substrings if s not in UNICODE_TO_IPA])
return valid | python | def remove_invalid_ipa_characters(unicode_string, return_invalid=False, single_char_parsing=False):
"""
Remove all Unicode characters that are not IPA valid
from the given string,
and return a list of substrings of the given string,
each mapping to a (known) valid IPA character.
Return ``None`` if ``unicode_string`` is ``None``.
:param str unicode_string: the Unicode string to be parsed
:param bool return_invalid: if ``True``, return a pair ``(valid, invalid)``,
where ``invalid`` is a list of Unicode characters
that are not IPA valid.
:param bool single_char_parsing: if ``True``, parse one Unicode character at a time
:rtype: list of str
"""
if unicode_string is None:
return None
substrings = ipa_substrings(unicode_string, single_char_parsing=single_char_parsing)
valid = [s for s in substrings if s in UNICODE_TO_IPA]
if return_invalid:
return (valid, [s for s in substrings if s not in UNICODE_TO_IPA])
return valid | [
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pettarin/ipapy | ipapy/ipachar.py | variant_to_list | def variant_to_list(obj):
"""
Return a list containing the descriptors in the given object.
The ``obj`` can be a list or a set of descriptor strings, or a Unicode string.
If ``obj`` is a Unicode string, it will be split using spaces as delimiters.
:param variant obj: the object to be parsed
:rtype: list
:raise TypeError: if the ``obj`` has a type not listed above
"""
if isinstance(obj, list):
return obj
elif is_unicode_string(obj):
return [s for s in obj.split() if len(s) > 0]
elif isinstance(obj, set) or isinstance(obj, frozenset):
return list(obj)
raise TypeError("The given value must be a list or a set of descriptor strings, or a Unicode string.") | python | def variant_to_list(obj):
"""
Return a list containing the descriptors in the given object.
The ``obj`` can be a list or a set of descriptor strings, or a Unicode string.
If ``obj`` is a Unicode string, it will be split using spaces as delimiters.
:param variant obj: the object to be parsed
:rtype: list
:raise TypeError: if the ``obj`` has a type not listed above
"""
if isinstance(obj, list):
return obj
elif is_unicode_string(obj):
return [s for s in obj.split() if len(s) > 0]
elif isinstance(obj, set) or isinstance(obj, frozenset):
return list(obj)
raise TypeError("The given value must be a list or a set of descriptor strings, or a Unicode string.") | [
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pettarin/ipapy | ipapy/ipachar.py | variant_to_canonical_string | def variant_to_canonical_string(obj):
"""
Return a list containing the canonical string for the given object.
The ``obj`` can be a list or a set of descriptor strings, or a Unicode string.
If ``obj`` is a Unicode string, it will be split using spaces as delimiters.
:param variant obj: the object to be parsed
:rtype: str
:raise TypeError: if the ``obj`` has a type not listed above
"""
acc = [DG_ALL_DESCRIPTORS.canonical_value(p) for p in variant_to_list(obj)]
acc = sorted([a for a in acc if a is not None])
return u" ".join(acc) | python | def variant_to_canonical_string(obj):
"""
Return a list containing the canonical string for the given object.
The ``obj`` can be a list or a set of descriptor strings, or a Unicode string.
If ``obj`` is a Unicode string, it will be split using spaces as delimiters.
:param variant obj: the object to be parsed
:rtype: str
:raise TypeError: if the ``obj`` has a type not listed above
"""
acc = [DG_ALL_DESCRIPTORS.canonical_value(p) for p in variant_to_list(obj)]
acc = sorted([a for a in acc if a is not None])
return u" ".join(acc) | [
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pettarin/ipapy | ipapy/ipachar.py | is_list_of_ipachars | def is_list_of_ipachars(obj):
"""
Return ``True`` if the given object is a list of IPAChar objects.
:param object obj: the object to test
:rtype: bool
"""
if isinstance(obj, list):
for e in obj:
if not isinstance(e, IPAChar):
return False
return True
return False | python | def is_list_of_ipachars(obj):
"""
Return ``True`` if the given object is a list of IPAChar objects.
:param object obj: the object to test
:rtype: bool
"""
if isinstance(obj, list):
for e in obj:
if not isinstance(e, IPAChar):
return False
return True
return False | [
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pettarin/ipapy | ipapy/ipachar.py | IPAChar.is_equivalent | def is_equivalent(self, other):
"""
Return ``True`` if the IPA character is equivalent to the ``other`` object.
The ``other`` object can be:
1. a Unicode string, containing the representation of the IPA character,
2. a Unicode string, containing a space-separated list of descriptors,
3. a list of Unicode strings, containing descriptors, and
4. another IPAChar.
:rtype: bool
"""
if (self.unicode_repr is not None) and (is_unicode_string(other)) and (self.unicode_repr == other):
return True
if isinstance(other, IPAChar):
return self.canonical_representation == other.canonical_representation
try:
return self.canonical_representation == IPAChar(name=None, descriptors=other).canonical_representation
except:
return False | python | def is_equivalent(self, other):
"""
Return ``True`` if the IPA character is equivalent to the ``other`` object.
The ``other`` object can be:
1. a Unicode string, containing the representation of the IPA character,
2. a Unicode string, containing a space-separated list of descriptors,
3. a list of Unicode strings, containing descriptors, and
4. another IPAChar.
:rtype: bool
"""
if (self.unicode_repr is not None) and (is_unicode_string(other)) and (self.unicode_repr == other):
return True
if isinstance(other, IPAChar):
return self.canonical_representation == other.canonical_representation
try:
return self.canonical_representation == IPAChar(name=None, descriptors=other).canonical_representation
except:
return False | [
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pettarin/ipapy | ipapy/ipachar.py | IPAChar.dg_value | def dg_value(self, descriptor_group):
"""
Return the canonical value of a descriptor of the character,
provided it is present in the given descriptor group.
If not present, return ``None``.
:param IPADescriptorGroup descriptor_group: the descriptor group to be checked against
:rtype: str
"""
for p in self.descriptors:
if p in descriptor_group:
return descriptor_group.canonical_value(p)
return None | python | def dg_value(self, descriptor_group):
"""
Return the canonical value of a descriptor of the character,
provided it is present in the given descriptor group.
If not present, return ``None``.
:param IPADescriptorGroup descriptor_group: the descriptor group to be checked against
:rtype: str
"""
for p in self.descriptors:
if p in descriptor_group:
return descriptor_group.canonical_value(p)
return None | [
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pettarin/ipapy | ipapy/ipachar.py | IPAChar.has_descriptor | def has_descriptor(self, descriptor):
"""
Return ``True`` if the character has the given descriptor.
:param IPADescriptor descriptor: the descriptor to be checked against
:rtype: bool
"""
for p in self.descriptors:
if p in descriptor:
return True
return False | python | def has_descriptor(self, descriptor):
"""
Return ``True`` if the character has the given descriptor.
:param IPADescriptor descriptor: the descriptor to be checked against
:rtype: bool
"""
for p in self.descriptors:
if p in descriptor:
return True
return False | [
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pettarin/ipapy | ipapy/ipachar.py | IPAConsonant.voicing | def voicing(self, value):
"""
Set the voicing of the consonant.
:param str value: the value to be set
"""
if (value is not None) and (not value in DG_C_VOICING):
raise ValueError("Unrecognized value for voicing: '%s'" % value)
self.__voicing = value | python | def voicing(self, value):
"""
Set the voicing of the consonant.
:param str value: the value to be set
"""
if (value is not None) and (not value in DG_C_VOICING):
raise ValueError("Unrecognized value for voicing: '%s'" % value)
self.__voicing = value | [
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pettarin/ipapy | ipapy/ipachar.py | IPAConsonant.place | def place(self, value):
"""
Set the place of articulation of the consonant.
:param str value: the value to be set
"""
if (value is not None) and (not value in DG_C_PLACE):
raise ValueError("Unrecognized value for place: '%s'" % value)
self.__place = value | python | def place(self, value):
"""
Set the place of articulation of the consonant.
:param str value: the value to be set
"""
if (value is not None) and (not value in DG_C_PLACE):
raise ValueError("Unrecognized value for place: '%s'" % value)
self.__place = value | [
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pettarin/ipapy | ipapy/ipachar.py | IPAConsonant.manner | def manner(self, value):
"""
Set the manner of articulation of the consonant.
:param str value: the value to be set
"""
if (value is not None) and (not value in DG_C_MANNER):
raise ValueError("Unrecognized value for manner: '%s'" % value)
self.__manner = value | python | def manner(self, value):
"""
Set the manner of articulation of the consonant.
:param str value: the value to be set
"""
if (value is not None) and (not value in DG_C_MANNER):
raise ValueError("Unrecognized value for manner: '%s'" % value)
self.__manner = value | [
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pettarin/ipapy | ipapy/ipachar.py | IPAVowel.height | def height(self, value):
"""
Set the height of the vowel.
:param str value: the value to be set
"""
if (value is not None) and (not value in DG_V_HEIGHT):
raise ValueError("Unrecognized value for height: '%s'" % value)
self.__height = value | python | def height(self, value):
"""
Set the height of the vowel.
:param str value: the value to be set
"""
if (value is not None) and (not value in DG_V_HEIGHT):
raise ValueError("Unrecognized value for height: '%s'" % value)
self.__height = value | [
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pettarin/ipapy | ipapy/ipachar.py | IPAVowel.backness | def backness(self, value):
"""
Set the backness of the vowel.
:param str value: the value to be set
"""
if (value is not None) and (not value in DG_V_BACKNESS):
raise ValueError("Unrecognized value for backness: '%s'" % value)
self.__backness = value | python | def backness(self, value):
"""
Set the backness of the vowel.
:param str value: the value to be set
"""
if (value is not None) and (not value in DG_V_BACKNESS):
raise ValueError("Unrecognized value for backness: '%s'" % value)
self.__backness = value | [
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pettarin/ipapy | ipapy/ipachar.py | IPAVowel.roundness | def roundness(self, value):
"""
Set the roundness of the vowel.
:param str value: the value to be set
"""
if (value is not None) and (not value in DG_V_ROUNDNESS):
raise ValueError("Unrecognized value for roundness: '%s'" % value)
self.__roundness = value | python | def roundness(self, value):
"""
Set the roundness of the vowel.
:param str value: the value to be set
"""
if (value is not None) and (not value in DG_V_ROUNDNESS):
raise ValueError("Unrecognized value for roundness: '%s'" % value)
self.__roundness = value | [
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pettarin/ipapy | ipapy/kirshenbaummapper.py | KirshenbaumMapper._load_data | def _load_data(self):
"""
Load the Kirshenbaum ASCII IPA data from the built-in database.
"""
ipa_canonical_string_to_ascii_str = dict()
for line in load_data_file(
file_path=self.DATA_FILE_PATH,
file_path_is_relative=True,
line_format=u"sxA"
):
i_desc, i_ascii = line
if len(i_ascii) == 0:
raise ValueError("Data file '%s' contains a bad line: '%s'" % (self.DATA_FILE_PATH, line))
key = (variant_to_canonical_string(i_desc),)
ipa_canonical_string_to_ascii_str[key] = i_ascii[0]
return ipa_canonical_string_to_ascii_str | python | def _load_data(self):
"""
Load the Kirshenbaum ASCII IPA data from the built-in database.
"""
ipa_canonical_string_to_ascii_str = dict()
for line in load_data_file(
file_path=self.DATA_FILE_PATH,
file_path_is_relative=True,
line_format=u"sxA"
):
i_desc, i_ascii = line
if len(i_ascii) == 0:
raise ValueError("Data file '%s' contains a bad line: '%s'" % (self.DATA_FILE_PATH, line))
key = (variant_to_canonical_string(i_desc),)
ipa_canonical_string_to_ascii_str[key] = i_ascii[0]
return ipa_canonical_string_to_ascii_str | [
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pettarin/ipapy | ipapy/ipadescriptor.py | IPADescriptorGroup.canonical_value | def canonical_value(self, query):
"""
Return the canonical value corresponding to the given query value.
Return ``None`` if the query value is not present in any descriptor of the group.
:param str query: the descriptor value to be checked against
"""
for d in self.descriptors:
if query in d:
return d.canonical_label
return None | python | def canonical_value(self, query):
"""
Return the canonical value corresponding to the given query value.
Return ``None`` if the query value is not present in any descriptor of the group.
:param str query: the descriptor value to be checked against
"""
for d in self.descriptors:
if query in d:
return d.canonical_label
return None | [
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pettarin/ipapy | ipapy/arpabetmapper.py | ARPABETMapper._load_data | def _load_data(self):
"""
Load the ARPABET ASCII IPA data from the built-in database.
"""
ipa_canonical_string_to_ascii_str = dict()
for line in load_data_file(
file_path=self.DATA_FILE_PATH,
file_path_is_relative=True,
line_format=u"UA"
):
i_unicode, i_ascii = line
if (len(i_unicode) == 0) or (len(i_ascii) == 0):
raise ValueError("Data file '%s' contains a bad line: '%s'" % (self.DATA_FILE_PATH, line))
i_unicode = i_unicode[0]
i_ascii = i_ascii[0]
key = tuple([UNICODE_TO_IPA[c].canonical_representation for c in i_unicode])
ipa_canonical_string_to_ascii_str[key] = i_ascii
return ipa_canonical_string_to_ascii_str | python | def _load_data(self):
"""
Load the ARPABET ASCII IPA data from the built-in database.
"""
ipa_canonical_string_to_ascii_str = dict()
for line in load_data_file(
file_path=self.DATA_FILE_PATH,
file_path_is_relative=True,
line_format=u"UA"
):
i_unicode, i_ascii = line
if (len(i_unicode) == 0) or (len(i_ascii) == 0):
raise ValueError("Data file '%s' contains a bad line: '%s'" % (self.DATA_FILE_PATH, line))
i_unicode = i_unicode[0]
i_ascii = i_ascii[0]
key = tuple([UNICODE_TO_IPA[c].canonical_representation for c in i_unicode])
ipa_canonical_string_to_ascii_str[key] = i_ascii
return ipa_canonical_string_to_ascii_str | [
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pettarin/ipapy | ipapy/compatibility.py | is_unicode_string | def is_unicode_string(string):
"""
Return ``True`` if the given string is a Unicode string,
that is, of type ``unicode`` in Python 2 or ``str`` in Python 3.
Return ``None`` if ``string`` is ``None``.
:param str string: the string to be checked
:rtype: bool
"""
if string is None:
return None
if PY2:
return isinstance(string, unicode)
return isinstance(string, str) | python | def is_unicode_string(string):
"""
Return ``True`` if the given string is a Unicode string,
that is, of type ``unicode`` in Python 2 or ``str`` in Python 3.
Return ``None`` if ``string`` is ``None``.
:param str string: the string to be checked
:rtype: bool
"""
if string is None:
return None
if PY2:
return isinstance(string, unicode)
return isinstance(string, str) | [
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pettarin/ipapy | ipapy/compatibility.py | to_unicode_string | def to_unicode_string(string):
"""
Return a Unicode string out of the given string.
On Python 2, it calls ``unicode`` with ``utf-8`` encoding.
On Python 3, it just returns the given string.
Return ``None`` if ``string`` is ``None``.
:param str string: the string to convert to Unicode
:rtype: (Unicode) str
"""
if string is None:
return None
if is_unicode_string(string):
return string
# if reached here, string is a byte string
if PY2:
return unicode(string, encoding="utf-8")
return string.decode(encoding="utf-8") | python | def to_unicode_string(string):
"""
Return a Unicode string out of the given string.
On Python 2, it calls ``unicode`` with ``utf-8`` encoding.
On Python 3, it just returns the given string.
Return ``None`` if ``string`` is ``None``.
:param str string: the string to convert to Unicode
:rtype: (Unicode) str
"""
if string is None:
return None
if is_unicode_string(string):
return string
# if reached here, string is a byte string
if PY2:
return unicode(string, encoding="utf-8")
return string.decode(encoding="utf-8") | [
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pettarin/ipapy | ipapy/compatibility.py | to_str | def to_str(string):
"""
Return the given string (either byte string or Unicode string)
converted to native-str, that is,
a byte string on Python 2, or a Unicode string on Python 3.
Return ``None`` if ``string`` is ``None``.
:param str string: the string to convert to native-str
:rtype: native-str
"""
if string is None:
return None
if isinstance(string, str):
return string
if PY2:
return string.encode("utf-8")
return string.decode("utf-8") | python | def to_str(string):
"""
Return the given string (either byte string or Unicode string)
converted to native-str, that is,
a byte string on Python 2, or a Unicode string on Python 3.
Return ``None`` if ``string`` is ``None``.
:param str string: the string to convert to native-str
:rtype: native-str
"""
if string is None:
return None
if isinstance(string, str):
return string
if PY2:
return string.encode("utf-8")
return string.decode("utf-8") | [
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pettarin/ipapy | ipapy/compatibility.py | hex_to_unichr | def hex_to_unichr(hex_string):
"""
Return the Unicode character with the given codepoint,
given as an hexadecimal string.
Return ``None`` if ``hex_string`` is ``None`` or is empty.
Example::
"0061" => a
"U+0061" => a
:param str hex_string: the Unicode codepoint of the desired character
:rtype: (Unicode) str
"""
if (hex_string is None) or (len(hex_string) < 1):
return None
if hex_string.startswith("U+"):
hex_string = hex_string[2:]
return int_to_unichr(int(hex_string, base=16)) | python | def hex_to_unichr(hex_string):
"""
Return the Unicode character with the given codepoint,
given as an hexadecimal string.
Return ``None`` if ``hex_string`` is ``None`` or is empty.
Example::
"0061" => a
"U+0061" => a
:param str hex_string: the Unicode codepoint of the desired character
:rtype: (Unicode) str
"""
if (hex_string is None) or (len(hex_string) < 1):
return None
if hex_string.startswith("U+"):
hex_string = hex_string[2:]
return int_to_unichr(int(hex_string, base=16)) | [
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pettarin/ipapy | ipapy/compatibility.py | unicode_to_hex | def unicode_to_hex(unicode_string):
"""
Return a string containing the Unicode hexadecimal codepoint
of each Unicode character in the given Unicode string.
Return ``None`` if ``unicode_string`` is ``None``.
Example::
a => U+0061
ab => U+0061 U+0062
:param str unicode_string: the Unicode string to convert
:rtype: (Unicode) str
"""
if unicode_string is None:
return None
acc = []
for c in unicode_string:
s = hex(ord(c)).replace("0x", "").upper()
acc.append("U+" + ("0" * (4 - len(s))) + s)
return u" ".join(acc) | python | def unicode_to_hex(unicode_string):
"""
Return a string containing the Unicode hexadecimal codepoint
of each Unicode character in the given Unicode string.
Return ``None`` if ``unicode_string`` is ``None``.
Example::
a => U+0061
ab => U+0061 U+0062
:param str unicode_string: the Unicode string to convert
:rtype: (Unicode) str
"""
if unicode_string is None:
return None
acc = []
for c in unicode_string:
s = hex(ord(c)).replace("0x", "").upper()
acc.append("U+" + ("0" * (4 - len(s))) + s)
return u" ".join(acc) | [
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TeamHG-Memex/html-text | html_text/html_text.py | parse_html | def parse_html(html):
""" Create an lxml.html.HtmlElement from a string with html.
XXX: mostly copy-pasted from parsel.selector.create_root_node
"""
body = html.strip().replace('\x00', '').encode('utf8') or b'<html/>'
parser = lxml.html.HTMLParser(recover=True, encoding='utf8')
root = lxml.etree.fromstring(body, parser=parser)
if root is None:
root = lxml.etree.fromstring(b'<html/>', parser=parser)
return root | python | def parse_html(html):
""" Create an lxml.html.HtmlElement from a string with html.
XXX: mostly copy-pasted from parsel.selector.create_root_node
"""
body = html.strip().replace('\x00', '').encode('utf8') or b'<html/>'
parser = lxml.html.HTMLParser(recover=True, encoding='utf8')
root = lxml.etree.fromstring(body, parser=parser)
if root is None:
root = lxml.etree.fromstring(b'<html/>', parser=parser)
return root | [
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TeamHG-Memex/html-text | html_text/html_text.py | etree_to_text | def etree_to_text(tree,
guess_punct_space=True,
guess_layout=True,
newline_tags=NEWLINE_TAGS,
double_newline_tags=DOUBLE_NEWLINE_TAGS):
"""
Convert a html tree to text. Tree should be cleaned with
``html_text.html_text.cleaner.clean_html`` before passing to this
function.
See html_text.extract_text docstring for description of the
approach and options.
"""
chunks = []
_NEWLINE = object()
_DOUBLE_NEWLINE = object()
class Context:
""" workaround for missing `nonlocal` in Python 2 """
# _NEWLINE, _DOUBLE_NEWLINE or content of the previous chunk (str)
prev = _DOUBLE_NEWLINE
def should_add_space(text, prev):
""" Return True if extra whitespace should be added before text """
if prev in {_NEWLINE, _DOUBLE_NEWLINE}:
return False
if not _has_trailing_whitespace(prev):
if _has_punct_after(text) or _has_open_bracket_before(prev):
return False
return True
def get_space_between(text, prev):
if not text or not guess_punct_space:
return ' '
return ' ' if should_add_space(text, prev) else ''
def add_newlines(tag, context):
if not guess_layout:
return
prev = context.prev
if prev is _DOUBLE_NEWLINE: # don't output more than 1 blank line
return
if tag in double_newline_tags:
context.prev = _DOUBLE_NEWLINE
chunks.append('\n' if prev is _NEWLINE else '\n\n')
elif tag in newline_tags:
context.prev = _NEWLINE
if prev is not _NEWLINE:
chunks.append('\n')
def add_text(text_content, context):
text = _normalize_whitespace(text_content) if text_content else ''
if not text:
return
space = get_space_between(text, context.prev)
chunks.extend([space, text])
context.prev = text_content
def traverse_text_fragments(tree, context, handle_tail=True):
""" Extract text from the ``tree``: fill ``chunks`` variable """
add_newlines(tree.tag, context)
add_text(tree.text, context)
for child in tree:
traverse_text_fragments(child, context)
add_newlines(tree.tag, context)
if handle_tail:
add_text(tree.tail, context)
traverse_text_fragments(tree, context=Context(), handle_tail=False)
return ''.join(chunks).strip() | python | def etree_to_text(tree,
guess_punct_space=True,
guess_layout=True,
newline_tags=NEWLINE_TAGS,
double_newline_tags=DOUBLE_NEWLINE_TAGS):
"""
Convert a html tree to text. Tree should be cleaned with
``html_text.html_text.cleaner.clean_html`` before passing to this
function.
See html_text.extract_text docstring for description of the
approach and options.
"""
chunks = []
_NEWLINE = object()
_DOUBLE_NEWLINE = object()
class Context:
""" workaround for missing `nonlocal` in Python 2 """
# _NEWLINE, _DOUBLE_NEWLINE or content of the previous chunk (str)
prev = _DOUBLE_NEWLINE
def should_add_space(text, prev):
""" Return True if extra whitespace should be added before text """
if prev in {_NEWLINE, _DOUBLE_NEWLINE}:
return False
if not _has_trailing_whitespace(prev):
if _has_punct_after(text) or _has_open_bracket_before(prev):
return False
return True
def get_space_between(text, prev):
if not text or not guess_punct_space:
return ' '
return ' ' if should_add_space(text, prev) else ''
def add_newlines(tag, context):
if not guess_layout:
return
prev = context.prev
if prev is _DOUBLE_NEWLINE: # don't output more than 1 blank line
return
if tag in double_newline_tags:
context.prev = _DOUBLE_NEWLINE
chunks.append('\n' if prev is _NEWLINE else '\n\n')
elif tag in newline_tags:
context.prev = _NEWLINE
if prev is not _NEWLINE:
chunks.append('\n')
def add_text(text_content, context):
text = _normalize_whitespace(text_content) if text_content else ''
if not text:
return
space = get_space_between(text, context.prev)
chunks.extend([space, text])
context.prev = text_content
def traverse_text_fragments(tree, context, handle_tail=True):
""" Extract text from the ``tree``: fill ``chunks`` variable """
add_newlines(tree.tag, context)
add_text(tree.text, context)
for child in tree:
traverse_text_fragments(child, context)
add_newlines(tree.tag, context)
if handle_tail:
add_text(tree.tail, context)
traverse_text_fragments(tree, context=Context(), handle_tail=False)
return ''.join(chunks).strip() | [
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TeamHG-Memex/html-text | html_text/html_text.py | selector_to_text | def selector_to_text(sel, guess_punct_space=True, guess_layout=True):
""" Convert a cleaned parsel.Selector to text.
See html_text.extract_text docstring for description of the approach
and options.
"""
import parsel
if isinstance(sel, parsel.SelectorList):
# if selecting a specific xpath
text = []
for s in sel:
extracted = etree_to_text(
s.root,
guess_punct_space=guess_punct_space,
guess_layout=guess_layout)
if extracted:
text.append(extracted)
return ' '.join(text)
else:
return etree_to_text(
sel.root,
guess_punct_space=guess_punct_space,
guess_layout=guess_layout) | python | def selector_to_text(sel, guess_punct_space=True, guess_layout=True):
""" Convert a cleaned parsel.Selector to text.
See html_text.extract_text docstring for description of the approach
and options.
"""
import parsel
if isinstance(sel, parsel.SelectorList):
# if selecting a specific xpath
text = []
for s in sel:
extracted = etree_to_text(
s.root,
guess_punct_space=guess_punct_space,
guess_layout=guess_layout)
if extracted:
text.append(extracted)
return ' '.join(text)
else:
return etree_to_text(
sel.root,
guess_punct_space=guess_punct_space,
guess_layout=guess_layout) | [
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TeamHG-Memex/html-text | html_text/html_text.py | cleaned_selector | def cleaned_selector(html):
""" Clean parsel.selector.
"""
import parsel
try:
tree = _cleaned_html_tree(html)
sel = parsel.Selector(root=tree, type='html')
except (lxml.etree.XMLSyntaxError,
lxml.etree.ParseError,
lxml.etree.ParserError,
UnicodeEncodeError):
# likely plain text
sel = parsel.Selector(html)
return sel | python | def cleaned_selector(html):
""" Clean parsel.selector.
"""
import parsel
try:
tree = _cleaned_html_tree(html)
sel = parsel.Selector(root=tree, type='html')
except (lxml.etree.XMLSyntaxError,
lxml.etree.ParseError,
lxml.etree.ParserError,
UnicodeEncodeError):
# likely plain text
sel = parsel.Selector(html)
return sel | [
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TeamHG-Memex/html-text | html_text/html_text.py | extract_text | def extract_text(html,
guess_punct_space=True,
guess_layout=True,
newline_tags=NEWLINE_TAGS,
double_newline_tags=DOUBLE_NEWLINE_TAGS):
"""
Convert html to text, cleaning invisible content such as styles.
Almost the same as normalize-space xpath, but this also
adds spaces between inline elements (like <span>) which are
often used as block elements in html markup, and adds appropriate
newlines to make output better formatted.
html should be a unicode string or an already parsed lxml.html element.
``html_text.etree_to_text`` is a lower-level function which only accepts
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When guess_punct_space is True (default), no extra whitespace is added
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text more similar to how it is rendered in the browser.
Default newline and double newline tags can be found in
`html_text.NEWLINE_TAGS` and `html_text.DOUBLE_NEWLINE_TAGS`.
"""
if html is None:
return ''
cleaned = _cleaned_html_tree(html)
return etree_to_text(
cleaned,
guess_punct_space=guess_punct_space,
guess_layout=guess_layout,
newline_tags=newline_tags,
double_newline_tags=double_newline_tags,
) | python | def extract_text(html,
guess_punct_space=True,
guess_layout=True,
newline_tags=NEWLINE_TAGS,
double_newline_tags=DOUBLE_NEWLINE_TAGS):
"""
Convert html to text, cleaning invisible content such as styles.
Almost the same as normalize-space xpath, but this also
adds spaces between inline elements (like <span>) which are
often used as block elements in html markup, and adds appropriate
newlines to make output better formatted.
html should be a unicode string or an already parsed lxml.html element.
``html_text.etree_to_text`` is a lower-level function which only accepts
an already parsed lxml.html Element, and is not doing html cleaning itself.
When guess_punct_space is True (default), no extra whitespace is added
for punctuation. This has a slight (around 10%) performance overhead
and is just a heuristic.
When guess_layout is True (default), a newline is added
before and after ``newline_tags`` and two newlines are added before
and after ``double_newline_tags``. This heuristic makes the extracted
text more similar to how it is rendered in the browser.
Default newline and double newline tags can be found in
`html_text.NEWLINE_TAGS` and `html_text.DOUBLE_NEWLINE_TAGS`.
"""
if html is None:
return ''
cleaned = _cleaned_html_tree(html)
return etree_to_text(
cleaned,
guess_punct_space=guess_punct_space,
guess_layout=guess_layout,
newline_tags=newline_tags,
double_newline_tags=double_newline_tags,
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Schwanksta/python-arcgis-rest-query | arcgis/arcgis.py | ArcGIS.get_json | def get_json(self, layer, where="1 = 1", fields=[], count_only=False, srid='4326'):
"""
Gets the JSON file from ArcGIS
"""
params = {
'where': where,
'outFields': ", ".join(fields),
'returnGeometry': True,
'outSR': srid,
'f': "pjson",
'orderByFields': self.object_id_field,
'returnCountOnly': count_only
}
if self.token:
params['token'] = self.token
if self.geom_type:
params.update({'geometryType': self.geom_type})
response = requests.get(self._build_query_request(layer), params=params)
return response.json() | python | def get_json(self, layer, where="1 = 1", fields=[], count_only=False, srid='4326'):
"""
Gets the JSON file from ArcGIS
"""
params = {
'where': where,
'outFields': ", ".join(fields),
'returnGeometry': True,
'outSR': srid,
'f': "pjson",
'orderByFields': self.object_id_field,
'returnCountOnly': count_only
}
if self.token:
params['token'] = self.token
if self.geom_type:
params.update({'geometryType': self.geom_type})
response = requests.get(self._build_query_request(layer), params=params)
return response.json() | [
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Schwanksta/python-arcgis-rest-query | arcgis/arcgis.py | ArcGIS.get_descriptor_for_layer | def get_descriptor_for_layer(self, layer):
"""
Returns the standard JSON descriptor for the layer. There is a lot of
usefule information in there.
"""
if not layer in self._layer_descriptor_cache:
params = {'f': 'pjson'}
if self.token:
params['token'] = self.token
response = requests.get(self._build_request(layer), params=params)
self._layer_descriptor_cache[layer] = response.json()
return self._layer_descriptor_cache[layer] | python | def get_descriptor_for_layer(self, layer):
"""
Returns the standard JSON descriptor for the layer. There is a lot of
usefule information in there.
"""
if not layer in self._layer_descriptor_cache:
params = {'f': 'pjson'}
if self.token:
params['token'] = self.token
response = requests.get(self._build_request(layer), params=params)
self._layer_descriptor_cache[layer] = response.json()
return self._layer_descriptor_cache[layer] | [
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Schwanksta/python-arcgis-rest-query | arcgis/arcgis.py | ArcGIS.enumerate_layer_fields | def enumerate_layer_fields(self, layer):
"""
Pulls out all of the field names for a layer.
"""
descriptor = self.get_descriptor_for_layer(layer)
return [field['name'] for field in descriptor['fields']] | python | def enumerate_layer_fields(self, layer):
"""
Pulls out all of the field names for a layer.
"""
descriptor = self.get_descriptor_for_layer(layer)
return [field['name'] for field in descriptor['fields']] | [
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Schwanksta/python-arcgis-rest-query | arcgis/arcgis.py | ArcGIS.get | def get(self, layer, where="1 = 1", fields=[], count_only=False, srid='4326'):
"""
Gets a layer and returns it as honest to God GeoJSON.
WHERE 1 = 1 causes us to get everything. We use OBJECTID in the WHERE clause
to paginate, so don't use OBJECTID in your WHERE clause unless you're going to
query under 1000 objects.
"""
base_where = where
# By default we grab all of the fields. Technically I think
# we can just do "*" for all fields, but I found this was buggy in
# the KMZ mode. I'd rather be explicit.
fields = fields or self.enumerate_layer_fields(layer)
jsobj = self.get_json(layer, where, fields, count_only, srid)
# Sometimes you just want to know how far there is to go.
if count_only:
return jsobj.get('count')
# If there is no geometry, we default to assuming it's a Table type
# data format, and we dump a simple (non-geo) json of all of the data.
if not jsobj.get('geometryType', None):
return self.getTable(layer, where, fields, jsobj=jsobj)
# From what I can tell, the entire layer tends to be of the same type,
# so we only have to determine the parsing function once.
geom_parser = self._determine_geom_parser(jsobj.get('geometryType'))
features = []
# We always want to run once, and then break out as soon as we stop
# getting exceededTransferLimit.
while True:
features += [self.esri_to_geojson(feat, geom_parser) for feat in jsobj.get('features')]
if jsobj.get('exceededTransferLimit', False) == False:
break
# If we've hit the transfer limit we offset by the last OBJECTID
# returned and keep moving along.
where = "%s > %s" % (self.object_id_field, features[-1]['properties'].get(self.object_id_field))
if base_where != "1 = 1" :
# If we have another WHERE filter we needed to tack that back on.
where += " AND %s" % base_where
jsobj = self.get_json(layer, where, fields, count_only, srid)
return {
'type': "FeatureCollection",
'features': features
} | python | def get(self, layer, where="1 = 1", fields=[], count_only=False, srid='4326'):
"""
Gets a layer and returns it as honest to God GeoJSON.
WHERE 1 = 1 causes us to get everything. We use OBJECTID in the WHERE clause
to paginate, so don't use OBJECTID in your WHERE clause unless you're going to
query under 1000 objects.
"""
base_where = where
# By default we grab all of the fields. Technically I think
# we can just do "*" for all fields, but I found this was buggy in
# the KMZ mode. I'd rather be explicit.
fields = fields or self.enumerate_layer_fields(layer)
jsobj = self.get_json(layer, where, fields, count_only, srid)
# Sometimes you just want to know how far there is to go.
if count_only:
return jsobj.get('count')
# If there is no geometry, we default to assuming it's a Table type
# data format, and we dump a simple (non-geo) json of all of the data.
if not jsobj.get('geometryType', None):
return self.getTable(layer, where, fields, jsobj=jsobj)
# From what I can tell, the entire layer tends to be of the same type,
# so we only have to determine the parsing function once.
geom_parser = self._determine_geom_parser(jsobj.get('geometryType'))
features = []
# We always want to run once, and then break out as soon as we stop
# getting exceededTransferLimit.
while True:
features += [self.esri_to_geojson(feat, geom_parser) for feat in jsobj.get('features')]
if jsobj.get('exceededTransferLimit', False) == False:
break
# If we've hit the transfer limit we offset by the last OBJECTID
# returned and keep moving along.
where = "%s > %s" % (self.object_id_field, features[-1]['properties'].get(self.object_id_field))
if base_where != "1 = 1" :
# If we have another WHERE filter we needed to tack that back on.
where += " AND %s" % base_where
jsobj = self.get_json(layer, where, fields, count_only, srid)
return {
'type': "FeatureCollection",
'features': features
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Schwanksta/python-arcgis-rest-query | arcgis/arcgis.py | ArcGIS.getTable | def getTable(self, layer, where="1 = 1", fields=[], jsobj=None):
"""
Returns JSON for a Table type. You shouldn't use this directly -- it's
an automatic falback from .get if there is no geometry
"""
base_where = where
features = []
# We always want to run once, and then break out as soon as we stop
# getting exceededTransferLimit.
while True:
features += [feat.get('attributes') for feat in jsobj.get('features')]
# There isn't an exceededTransferLimit?
if len(jsobj.get('features')) < 1000:
break
# If we've hit the transfer limit we offset by the last OBJECTID
# returned and keep moving along.
where = "%s > %s" % (self.object_id_field, features[-1].get(self.object_id_field))
if base_where != "1 = 1" :
# If we have another WHERE filter we needed to tack that back on.
where += " AND %s" % base_where
jsobj = self.get_json(layer, where, fields)
return features | python | def getTable(self, layer, where="1 = 1", fields=[], jsobj=None):
"""
Returns JSON for a Table type. You shouldn't use this directly -- it's
an automatic falback from .get if there is no geometry
"""
base_where = where
features = []
# We always want to run once, and then break out as soon as we stop
# getting exceededTransferLimit.
while True:
features += [feat.get('attributes') for feat in jsobj.get('features')]
# There isn't an exceededTransferLimit?
if len(jsobj.get('features')) < 1000:
break
# If we've hit the transfer limit we offset by the last OBJECTID
# returned and keep moving along.
where = "%s > %s" % (self.object_id_field, features[-1].get(self.object_id_field))
if base_where != "1 = 1" :
# If we have another WHERE filter we needed to tack that back on.
where += " AND %s" % base_where
jsobj = self.get_json(layer, where, fields)
return features | [
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Schwanksta/python-arcgis-rest-query | arcgis/arcgis.py | ArcGIS.getMultiple | def getMultiple(self, layers, where="1 = 1", fields=[], srid='4326', layer_name_field=None):
"""
Get a bunch of layers and concatenate them together into one. This is useful if you
have a map with layers for, say, every year named stuff_2014, stuff_2013, stuff_2012. Etc.
Optionally, you can stuff the source layer name into a field of your choosing.
>>> arc.getMultiple([0, 3, 5], layer_name_field='layer_src_name')
"""
features = []
for layer in layers:
get_fields = fields or self.enumerate_layer_fields(layer)
this_layer = self.get(layer, where, get_fields, False, srid).get('features')
if layer_name_field:
descriptor = self.get_descriptor_for_layer(layer)
layer_name = descriptor.get('name')
for feature in this_layer:
feature['properties'][layer_name_field] = layer_name
features += this_layer
return {
'type': "FeatureCollection",
'features': features
} | python | def getMultiple(self, layers, where="1 = 1", fields=[], srid='4326', layer_name_field=None):
"""
Get a bunch of layers and concatenate them together into one. This is useful if you
have a map with layers for, say, every year named stuff_2014, stuff_2013, stuff_2012. Etc.
Optionally, you can stuff the source layer name into a field of your choosing.
>>> arc.getMultiple([0, 3, 5], layer_name_field='layer_src_name')
"""
features = []
for layer in layers:
get_fields = fields or self.enumerate_layer_fields(layer)
this_layer = self.get(layer, where, get_fields, False, srid).get('features')
if layer_name_field:
descriptor = self.get_descriptor_for_layer(layer)
layer_name = descriptor.get('name')
for feature in this_layer:
feature['properties'][layer_name_field] = layer_name
features += this_layer
return {
'type': "FeatureCollection",
'features': features
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common-workflow-language/workflow-service | wes_client/util.py | get_version | def get_version(extension, workflow_file):
'''Determines the version of a .py, .wdl, or .cwl file.'''
if extension == 'py' and two_seven_compatible(workflow_file):
return '2.7'
elif extension == 'cwl':
return yaml.load(open(workflow_file))['cwlVersion']
else: # Must be a wdl file.
# Borrowed from https://github.com/Sage-Bionetworks/synapse-orchestrator/blob/develop/synorchestrator/util.py#L142
try:
return [l.lstrip('version') for l in workflow_file.splitlines() if 'version' in l.split(' ')][0]
except IndexError:
return 'draft-2' | python | def get_version(extension, workflow_file):
'''Determines the version of a .py, .wdl, or .cwl file.'''
if extension == 'py' and two_seven_compatible(workflow_file):
return '2.7'
elif extension == 'cwl':
return yaml.load(open(workflow_file))['cwlVersion']
else: # Must be a wdl file.
# Borrowed from https://github.com/Sage-Bionetworks/synapse-orchestrator/blob/develop/synorchestrator/util.py#L142
try:
return [l.lstrip('version') for l in workflow_file.splitlines() if 'version' in l.split(' ')][0]
except IndexError:
return 'draft-2' | [
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common-workflow-language/workflow-service | wes_client/util.py | wf_info | def wf_info(workflow_path):
"""
Returns the version of the file and the file extension.
Assumes that the file path is to the file directly ie, ends with a valid file extension.Supports checking local
files as well as files at http:// and https:// locations. Files at these remote locations are recreated locally to
enable our approach to version checking, then removed after version is extracted.
"""
supported_formats = ['py', 'wdl', 'cwl']
file_type = workflow_path.lower().split('.')[-1] # Grab the file extension
workflow_path = workflow_path if ':' in workflow_path else 'file://' + workflow_path
if file_type in supported_formats:
if workflow_path.startswith('file://'):
version = get_version(file_type, workflow_path[7:])
elif workflow_path.startswith('https://') or workflow_path.startswith('http://'):
# If file not local go fetch it.
html = urlopen(workflow_path).read()
local_loc = os.path.join(os.getcwd(), 'fetchedFromRemote.' + file_type)
with open(local_loc, 'w') as f:
f.write(html.decode())
version = wf_info('file://' + local_loc)[0] # Don't take the file_type here, found it above.
os.remove(local_loc) # TODO: Find a way to avoid recreating file before version determination.
else:
raise NotImplementedError('Unsupported workflow file location: {}. Must be local or HTTP(S).'.format(workflow_path))
else:
raise TypeError('Unsupported workflow type: .{}. Must be {}.'.format(file_type, '.py, .cwl, or .wdl'))
return version, file_type.upper() | python | def wf_info(workflow_path):
"""
Returns the version of the file and the file extension.
Assumes that the file path is to the file directly ie, ends with a valid file extension.Supports checking local
files as well as files at http:// and https:// locations. Files at these remote locations are recreated locally to
enable our approach to version checking, then removed after version is extracted.
"""
supported_formats = ['py', 'wdl', 'cwl']
file_type = workflow_path.lower().split('.')[-1] # Grab the file extension
workflow_path = workflow_path if ':' in workflow_path else 'file://' + workflow_path
if file_type in supported_formats:
if workflow_path.startswith('file://'):
version = get_version(file_type, workflow_path[7:])
elif workflow_path.startswith('https://') or workflow_path.startswith('http://'):
# If file not local go fetch it.
html = urlopen(workflow_path).read()
local_loc = os.path.join(os.getcwd(), 'fetchedFromRemote.' + file_type)
with open(local_loc, 'w') as f:
f.write(html.decode())
version = wf_info('file://' + local_loc)[0] # Don't take the file_type here, found it above.
os.remove(local_loc) # TODO: Find a way to avoid recreating file before version determination.
else:
raise NotImplementedError('Unsupported workflow file location: {}. Must be local or HTTP(S).'.format(workflow_path))
else:
raise TypeError('Unsupported workflow type: .{}. Must be {}.'.format(file_type, '.py, .cwl, or .wdl'))
return version, file_type.upper() | [
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common-workflow-language/workflow-service | wes_client/util.py | modify_jsonyaml_paths | def modify_jsonyaml_paths(jsonyaml_file):
"""
Changes relative paths in a json/yaml file to be relative
to where the json/yaml file is located.
:param jsonyaml_file: Path to a json/yaml file.
"""
loader = schema_salad.ref_resolver.Loader({
"location": {"@type": "@id"},
"path": {"@type": "@id"}
})
input_dict, _ = loader.resolve_ref(jsonyaml_file, checklinks=False)
basedir = os.path.dirname(jsonyaml_file)
def fixpaths(d):
"""Make sure all paths have a URI scheme."""
if isinstance(d, dict):
if "path" in d:
if ":" not in d["path"]:
local_path = os.path.normpath(os.path.join(os.getcwd(), basedir, d["path"]))
d["location"] = pathname2url(local_path)
else:
d["location"] = d["path"]
del d["path"]
visit(input_dict, fixpaths)
return json.dumps(input_dict) | python | def modify_jsonyaml_paths(jsonyaml_file):
"""
Changes relative paths in a json/yaml file to be relative
to where the json/yaml file is located.
:param jsonyaml_file: Path to a json/yaml file.
"""
loader = schema_salad.ref_resolver.Loader({
"location": {"@type": "@id"},
"path": {"@type": "@id"}
})
input_dict, _ = loader.resolve_ref(jsonyaml_file, checklinks=False)
basedir = os.path.dirname(jsonyaml_file)
def fixpaths(d):
"""Make sure all paths have a URI scheme."""
if isinstance(d, dict):
if "path" in d:
if ":" not in d["path"]:
local_path = os.path.normpath(os.path.join(os.getcwd(), basedir, d["path"]))
d["location"] = pathname2url(local_path)
else:
d["location"] = d["path"]
del d["path"]
visit(input_dict, fixpaths)
return json.dumps(input_dict) | [
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common-workflow-language/workflow-service | wes_client/util.py | build_wes_request | def build_wes_request(workflow_file, json_path, attachments=None):
"""
:param str workflow_file: Path to cwl/wdl file. Can be http/https/file.
:param json_path: Path to accompanying json file.
:param attachments: Any other files needing to be uploaded to the server.
:return: A list of tuples formatted to be sent in a post to the wes-server (Swagger API).
"""
workflow_file = "file://" + workflow_file if ":" not in workflow_file else workflow_file
wfbase = None
if json_path.startswith("file://"):
wfbase = os.path.dirname(json_path[7:])
json_path = json_path[7:]
with open(json_path) as f:
wf_params = json.dumps(json.load(f))
elif json_path.startswith("http"):
wf_params = modify_jsonyaml_paths(json_path)
else:
wf_params = json_path
wf_version, wf_type = wf_info(workflow_file)
parts = [("workflow_params", wf_params),
("workflow_type", wf_type),
("workflow_type_version", wf_version)]
if workflow_file.startswith("file://"):
if wfbase is None:
wfbase = os.path.dirname(workflow_file[7:])
parts.append(("workflow_attachment", (os.path.basename(workflow_file[7:]), open(workflow_file[7:], "rb"))))
parts.append(("workflow_url", os.path.basename(workflow_file[7:])))
else:
parts.append(("workflow_url", workflow_file))
if wfbase is None:
wfbase = os.getcwd()
if attachments:
for attachment in attachments:
if attachment.startswith("file://"):
attachment = attachment[7:]
attach_f = open(attachment, "rb")
relpath = os.path.relpath(attachment, wfbase)
elif attachment.startswith("http"):
attach_f = urlopen(attachment)
relpath = os.path.basename(attach_f)
parts.append(("workflow_attachment", (relpath, attach_f)))
return parts | python | def build_wes_request(workflow_file, json_path, attachments=None):
"""
:param str workflow_file: Path to cwl/wdl file. Can be http/https/file.
:param json_path: Path to accompanying json file.
:param attachments: Any other files needing to be uploaded to the server.
:return: A list of tuples formatted to be sent in a post to the wes-server (Swagger API).
"""
workflow_file = "file://" + workflow_file if ":" not in workflow_file else workflow_file
wfbase = None
if json_path.startswith("file://"):
wfbase = os.path.dirname(json_path[7:])
json_path = json_path[7:]
with open(json_path) as f:
wf_params = json.dumps(json.load(f))
elif json_path.startswith("http"):
wf_params = modify_jsonyaml_paths(json_path)
else:
wf_params = json_path
wf_version, wf_type = wf_info(workflow_file)
parts = [("workflow_params", wf_params),
("workflow_type", wf_type),
("workflow_type_version", wf_version)]
if workflow_file.startswith("file://"):
if wfbase is None:
wfbase = os.path.dirname(workflow_file[7:])
parts.append(("workflow_attachment", (os.path.basename(workflow_file[7:]), open(workflow_file[7:], "rb"))))
parts.append(("workflow_url", os.path.basename(workflow_file[7:])))
else:
parts.append(("workflow_url", workflow_file))
if wfbase is None:
wfbase = os.getcwd()
if attachments:
for attachment in attachments:
if attachment.startswith("file://"):
attachment = attachment[7:]
attach_f = open(attachment, "rb")
relpath = os.path.relpath(attachment, wfbase)
elif attachment.startswith("http"):
attach_f = urlopen(attachment)
relpath = os.path.basename(attach_f)
parts.append(("workflow_attachment", (relpath, attach_f)))
return parts | [
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common-workflow-language/workflow-service | wes_client/util.py | WESClient.get_service_info | def get_service_info(self):
"""
Get information about Workflow Execution Service. May
include information related (but not limited to) the
workflow descriptor formats, versions supported, the
WES API versions supported, and information about general
the service availability.
:param str auth: String to send in the auth header.
:param proto: Schema where the server resides (http, https)
:param host: Port where the post request will be sent and the wes server listens at (default 8080)
:return: The body of the get result as a dictionary.
"""
postresult = requests.get("%s://%s/ga4gh/wes/v1/service-info" % (self.proto, self.host),
headers=self.auth)
return wes_reponse(postresult) | python | def get_service_info(self):
"""
Get information about Workflow Execution Service. May
include information related (but not limited to) the
workflow descriptor formats, versions supported, the
WES API versions supported, and information about general
the service availability.
:param str auth: String to send in the auth header.
:param proto: Schema where the server resides (http, https)
:param host: Port where the post request will be sent and the wes server listens at (default 8080)
:return: The body of the get result as a dictionary.
"""
postresult = requests.get("%s://%s/ga4gh/wes/v1/service-info" % (self.proto, self.host),
headers=self.auth)
return wes_reponse(postresult) | [
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:param host: Port where the post request will be sent and the wes server listens at (default 8080)
:return: The body of the get result as a dictionary. | [
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common-workflow-language/workflow-service | wes_client/util.py | WESClient.run | def run(self, wf, jsonyaml, attachments):
"""
Composes and sends a post request that signals the wes server to run a workflow.
:param str workflow_file: A local/http/https path to a cwl/wdl/python workflow file.
:param str jsonyaml: A local path to a json or yaml file.
:param list attachments: A list of local paths to files that will be uploaded to the server.
:param str auth: String to send in the auth header.
:param proto: Schema where the server resides (http, https)
:param host: Port where the post request will be sent and the wes server listens at (default 8080)
:return: The body of the post result as a dictionary.
"""
attachments = list(expand_globs(attachments))
parts = build_wes_request(wf, jsonyaml, attachments)
postresult = requests.post("%s://%s/ga4gh/wes/v1/runs" % (self.proto, self.host),
files=parts,
headers=self.auth)
return wes_reponse(postresult) | python | def run(self, wf, jsonyaml, attachments):
"""
Composes and sends a post request that signals the wes server to run a workflow.
:param str workflow_file: A local/http/https path to a cwl/wdl/python workflow file.
:param str jsonyaml: A local path to a json or yaml file.
:param list attachments: A list of local paths to files that will be uploaded to the server.
:param str auth: String to send in the auth header.
:param proto: Schema where the server resides (http, https)
:param host: Port where the post request will be sent and the wes server listens at (default 8080)
:return: The body of the post result as a dictionary.
"""
attachments = list(expand_globs(attachments))
parts = build_wes_request(wf, jsonyaml, attachments)
postresult = requests.post("%s://%s/ga4gh/wes/v1/runs" % (self.proto, self.host),
files=parts,
headers=self.auth)
return wes_reponse(postresult) | [
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:param list attachments: A list of local paths to files that will be uploaded to the server.
:param str auth: String to send in the auth header.
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:param host: Port where the post request will be sent and the wes server listens at (default 8080)
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common-workflow-language/workflow-service | wes_client/util.py | WESClient.cancel | def cancel(self, run_id):
"""
Cancel a running workflow.
:param run_id: String (typically a uuid) identifying the run.
:param str auth: String to send in the auth header.
:param proto: Schema where the server resides (http, https)
:param host: Port where the post request will be sent and the wes server listens at (default 8080)
:return: The body of the delete result as a dictionary.
"""
postresult = requests.post("%s://%s/ga4gh/wes/v1/runs/%s/cancel" % (self.proto, self.host, run_id),
headers=self.auth)
return wes_reponse(postresult) | python | def cancel(self, run_id):
"""
Cancel a running workflow.
:param run_id: String (typically a uuid) identifying the run.
:param str auth: String to send in the auth header.
:param proto: Schema where the server resides (http, https)
:param host: Port where the post request will be sent and the wes server listens at (default 8080)
:return: The body of the delete result as a dictionary.
"""
postresult = requests.post("%s://%s/ga4gh/wes/v1/runs/%s/cancel" % (self.proto, self.host, run_id),
headers=self.auth)
return wes_reponse(postresult) | [
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:param proto: Schema where the server resides (http, https)
:param host: Port where the post request will be sent and the wes server listens at (default 8080)
:return: The body of the delete result as a dictionary. | [
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common-workflow-language/workflow-service | wes_client/util.py | WESClient.get_run_log | def get_run_log(self, run_id):
"""
Get detailed info about a running workflow.
:param run_id: String (typically a uuid) identifying the run.
:param str auth: String to send in the auth header.
:param proto: Schema where the server resides (http, https)
:param host: Port where the post request will be sent and the wes server listens at (default 8080)
:return: The body of the get result as a dictionary.
"""
postresult = requests.get("%s://%s/ga4gh/wes/v1/runs/%s" % (self.proto, self.host, run_id),
headers=self.auth)
return wes_reponse(postresult) | python | def get_run_log(self, run_id):
"""
Get detailed info about a running workflow.
:param run_id: String (typically a uuid) identifying the run.
:param str auth: String to send in the auth header.
:param proto: Schema where the server resides (http, https)
:param host: Port where the post request will be sent and the wes server listens at (default 8080)
:return: The body of the get result as a dictionary.
"""
postresult = requests.get("%s://%s/ga4gh/wes/v1/runs/%s" % (self.proto, self.host, run_id),
headers=self.auth)
return wes_reponse(postresult) | [
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:param run_id: String (typically a uuid) identifying the run.
:param str auth: String to send in the auth header.
:param proto: Schema where the server resides (http, https)
:param host: Port where the post request will be sent and the wes server listens at (default 8080)
:return: The body of the get result as a dictionary. | [
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