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|
# Nodes for structural pattern matching.
#
# In a separate file because they're unlikely to be useful for much else.
from .Nodes import Node, StatNode, ErrorNode
from .Errors import error, local_errors, report_error
from . import Nodes, ExprNodes, PyrexTypes, Builtin
from .Code import UtilityCode, TempitaUtilityCode
from .Options import copy_inherited_directives
from contextlib import contextmanager
class MatchNode(StatNode):
"""
subject ExprNode The expression to be matched
cases [MatchCaseBaseNode] list of cases
sequence_mapping_temp None or AssignableTempNode an int temp to store result of sequence/mapping tests
sequence_mapping_temp is an optimization because determining whether something is a sequence or mapping
is slow on Python <3.10. It should be deleted once that's the lowest version supported
"""
child_attrs = ["subject", "cases"]
subject_clonenode = None # set to a value if we require a temp
sequence_mapping_temp = None
def validate_irrefutable(self):
found_irrefutable_case = None
for case in self.cases:
if isinstance(case, ErrorNode):
# This validation happens before error nodes have been
# transformed into actual errors, so we need to ignore them
continue
if found_irrefutable_case:
error(
found_irrefutable_case.pos,
(
"%s makes remaining patterns unreachable"
% found_irrefutable_case.pattern.irrefutable_message()
),
)
break
if case.is_irrefutable():
found_irrefutable_case = case
case.validate_irrefutable()
def refactor_cases(self):
# An early transform - changes cases that can be represented as
# a simple if/else statement into them (giving them maximum chance
# to be optimized by the existing mechanisms). Leaves other cases
# unchanged
from .ExprNodes import CloneNode, ProxyNode, NameNode
self.subject = ProxyNode(self.subject)
subject = self.subject_clonenode = CloneNode(self.subject)
current_if_statement = None
for n, c in enumerate(self.cases + [None]): # The None is dummy at the end
if c is not None and c.is_simple_value_comparison():
body = SubstitutedIfStatListNode(
c.body.pos, stats=c.body.stats, match_node=self
)
if_clause = Nodes.IfClauseNode(
c.pos,
condition=c.pattern.get_simple_comparison_node(subject),
body=body,
)
assignments = c.pattern.generate_target_assignments(subject, None)
if assignments:
if_clause.body.stats.insert(0, assignments)
if not current_if_statement:
current_if_statement = Nodes.IfStatNode(
c.pos, if_clauses=[], else_clause=None
)
current_if_statement.if_clauses.append(if_clause)
self.cases[n] = None # remove case
elif current_if_statement:
# this cannot be simplified, but previous case(s) were
self.cases[n - 1] = SubstitutedMatchCaseNode(
current_if_statement.pos, body=current_if_statement
)
current_if_statement = None
# eliminate optimized cases
self.cases = [c for c in self.cases if c is not None]
def analyse_declarations(self, env):
self.subject.analyse_declarations(env)
for c in self.cases:
c.analyse_case_declarations(self.subject_clonenode, env)
def analyse_expressions(self, env):
sequence_mapping_count = 0
for c in self.cases:
if c.is_sequence_or_mapping():
sequence_mapping_count += 1
if sequence_mapping_count >= 2:
self.sequence_mapping_temp = AssignableTempNode(
self.pos, PyrexTypes.c_uint_type
)
self.sequence_mapping_temp.is_addressable = lambda: True
self.subject = self.subject.analyse_expressions(env)
assert isinstance(self.subject, ExprNodes.ProxyNode)
if not self.subject.arg.is_literal:
self.subject.arg = self.subject.arg.coerce_to_temp(env)
subject = self.subject_clonenode.analyse_expressions(env)
self.cases = [
c.analyse_case_expressions(subject, env, self.sequence_mapping_temp)
for c in self.cases
]
self.cases = [c for c in self.cases if c is not None]
return self
def generate_execution_code(self, code):
if self.sequence_mapping_temp:
self.sequence_mapping_temp.allocate(code)
code.putln(
"%s = 0; /* sequence/mapping test temp */"
% self.sequence_mapping_temp.result()
)
# For things that are a sequence at compile-time it's difficult
# to avoid generating the sequence mapping temp. Therefore, silence
# an "unused error"
code.putln("(void)%s;" % self.sequence_mapping_temp.result())
end_label = self.end_label = code.new_label()
if self.subject_clonenode:
self.subject.generate_evaluation_code(code)
for c in self.cases:
c.generate_execution_code(code, end_label)
if self.sequence_mapping_temp:
self.sequence_mapping_temp.release(code)
if code.label_used(end_label):
code.put_label(end_label)
if self.subject_clonenode:
self.subject.generate_disposal_code(code)
self.subject.free_temps(code)
class MatchCaseBaseNode(Node):
"""
Common base for a MatchCaseNode and a
substituted node
"""
pass
class MatchCaseNode(Node):
"""
pattern PatternNode
body StatListNode
guard ExprNode or None
generated:
target_assignments [ SingleAssignmentNodes ]
comp_node ExprNode that evaluates to bool
"""
target_assignments = None
comp_node = None
child_attrs = ["pattern", "target_assignments", "comp_node", "guard", "body"]
def is_irrefutable(self):
if isinstance(self.pattern, ErrorNode):
return True # value doesn't really matter
return self.pattern.is_irrefutable() and not self.guard
def is_simple_value_comparison(self):
if self.guard:
return False
return self.pattern.is_simple_value_comparison()
def validate_targets(self):
if isinstance(self.pattern, ErrorNode):
return
self.pattern.get_targets()
def validate_irrefutable(self):
if isinstance(self.pattern, ErrorNode):
return
self.pattern.validate_irrefutable()
def is_sequence_or_mapping(self):
return self.pattern.is_sequence_or_mapping()
def analyse_case_declarations(self, subject_node, env):
self.pattern.analyse_declarations(env)
self.target_assignments = self.pattern.generate_target_assignments(
subject_node, env
)
if self.target_assignments:
self.target_assignments.analyse_declarations(env)
if self.guard:
self.guard.analyse_declarations(env)
self.body.analyse_declarations(env)
def analyse_case_expressions(self, subject_node, env, sequence_mapping_temp):
with local_errors(True) as errors:
self.pattern = self.pattern.analyse_pattern_expressions(env, sequence_mapping_temp)
self.comp_node = self.pattern.get_comparison_node(subject_node, sequence_mapping_temp)
self.comp_node = self.comp_node.analyse_types(env)
if self.comp_node and self.comp_node.is_literal:
self.comp_node.calculate_constant_result()
if not self.comp_node.constant_result:
# we know this pattern can't succeed. Ignore any errors and return None
return None
for error in errors:
report_error(error)
self.comp_node = self.comp_node.coerce_to_boolean(env).coerce_to_simple(env)
if self.target_assignments:
self.target_assignments = self.target_assignments.analyse_expressions(env)
if self.guard:
self.guard = self.guard.analyse_temp_boolean_expression(env)
self.body = self.body.analyse_expressions(env)
return self
def generate_execution_code(self, code, end_label):
self.pattern.allocate_subject_temps(code)
self.comp_node.generate_evaluation_code(code)
end_of_case_label = code.new_label()
code.putln("if (!%s) { /* !pattern */" % self.comp_node.result())
self.pattern.dispose_of_subject_temps(code) # failed, don't need the subjects
code.put_goto(end_of_case_label)
code.putln("} else { /* pattern */")
self.comp_node.generate_disposal_code(code)
self.comp_node.free_temps(code)
if self.target_assignments:
self.target_assignments.generate_execution_code(code)
self.pattern.dispose_of_subject_temps(code)
self.pattern.release_subject_temps(code) # we're done with the subjects here
if self.guard:
self.guard.generate_evaluation_code(code)
code.putln("if (%s) { /* guard */" % self.guard.result())
self.guard.generate_disposal_code(code)
self.guard.free_temps(code)
# body_insertion_point = code.insertion_point()
self.body.generate_execution_code(code)
if not self.body.is_terminator:
code.put_goto(end_label)
if self.guard:
code.putln("} /* guard */")
code.putln("} /* pattern */")
code.put_label(end_of_case_label)
class SubstitutedMatchCaseNode(MatchCaseBaseNode):
# body - Node - The (probably) if statement that it's replaced with
child_attrs = ["body"]
def is_sequence_or_mapping(self):
return False
def analyse_case_declarations(self, subject_node, env):
self.analyse_declarations(env)
def analyse_declarations(self, env):
self.body.analyse_declarations(env)
def analyse_case_expressions(self, subject_node, env, sequence_mapping_temp):
self.body = self.body.analyse_expressions(env)
return self
def generate_execution_code(self, code, end_label):
self.body.generate_execution_code(code)
class PatternNode(Node):
"""
PatternNode is not an expression because
it does several things (evalutating a boolean expression,
assignment of targets), and they need to be done at different
times.
as_targets [NameNode] any target assign by "as"
Generated in analysis:
comp_node ExprNode node to evaluate for the pattern
----------------------------------------
How these nodes are processed:
1. During "analyse_declarations" PatternNode.generate_target_assignments
is called on the main PatternNode of the case. This calls its
sub-patterns generate_target_assignments recursively.
This creates a StatListNode that is held by the
MatchCaseNode.
2. In the "analyse_expressions" phases, the MatchCaseNode calls
PatternNode.analyse_pattern_expressions, which calls its
sub-pattern recursively.
3. At the end of the "analyse_expressions" stage the MatchCaseNode
class PatternNode.get_comparison_node (which calls
PatternNode.get_comparison_node for its sub-patterns). This
returns an ExprNode which can be evaluated to determine if the
pattern has matched.
While generating the comparison we try quite hard not to
analyse it until right at the end, because otherwise it'll lead
to a lot of repeated work for deeply nested patterns.
4. In the code generation stage, PatternNodes hardly generate any
code themselves. However, they do set up whatever temps they
need (mainly for sub-pattern subjects), with "allocate_subject_temps",
"release_subject_temps", and "dispose_of_subject_temps" (which
they also call recursively on their sub-patterns)
"""
# useful for type tests
is_match_value_pattern = False
is_match_and_assign_pattern = False
child_attrs = ["as_targets"]
def __init__(self, pos, **kwds):
if "as_targets" not in kwds:
kwds["as_targets"] = []
super(PatternNode, self).__init__(pos, **kwds)
def is_irrefutable(self):
return False
def is_sequence_or_mapping(self):
"""
Used for determining whether to allocate a sequence_mapping_temp.
An OrPattern containing at least one also returns True
"""
return False
def get_targets(self):
targets = self.get_main_pattern_targets()
for target in self.as_targets:
self.add_target_to_targets(targets, target.name)
return targets
def update_targets_with_targets(self, targets, other_targets):
for name in targets.intersection(other_targets):
error(self.pos, "multiple assignments to name '%s' in pattern" % name)
targets.update(other_targets)
def add_target_to_targets(self, targets, target):
if target in targets:
error(self.pos, "multiple assignments to name '%s in pattern" % target)
targets.add(target)
def get_main_pattern_targets(self):
# exclude "as" target
raise NotImplementedError
def is_simple_value_comparison(self):
# Can this be converted to an "if ... elif: ..." statement?
# Only worth doing to take advantage of things like SwitchTransform
# so there's little benefit on doing it too widely
return False
def get_simple_comparison_node(self):
"""
Returns an ExprNode that can be used as the case in an if-statement
Should only be called if is_simple_value_comparison() is True
"""
raise NotImplementedError
def get_comparison_node(self, subject_node, sequence_mapping_temp=None):
error(self.pos, "This type of pattern is not currently supported %s" % self)
raise NotImplementedError
def validate_irrefutable(self):
for attr in self.child_attrs:
child = getattr(self, attr)
if child is not None and isinstance(child, PatternNode):
child.validate_irrefutable()
def analyse_pattern_expressions(self, env, sequence_mapping_temp):
error(self.pos, "This type of pattern is not currently supported %s" % self)
raise NotImplementedError
def generate_result_code(self, code):
pass
def generate_target_assignments(self, subject_node, env):
# Generates the assignment code needed to initialize all the targets.
# Returns either a StatListNode or None
assignments = []
for target in self.as_targets:
if self.is_match_value_pattern and self.value and self.value.is_simple():
# in this case we can optimize slightly and just take the value
subject_node = self.value.clone_node()
assignments.append(
Nodes.SingleAssignmentNode(
target.pos, lhs=target.clone_node(), rhs=subject_node
)
)
assignments.extend(
self.generate_main_pattern_assignment_list(subject_node, env)
)
if assignments:
return Nodes.StatListNode(self.pos, stats=assignments)
else:
return None
def generate_main_pattern_assignment_list(self, subject_node, env):
# generates assignments for everything except the "as_target".
# Override in subclasses.
# Returns a list of Nodes
return []
def allocate_subject_temps(self, code):
pass # Implement in nodes that need it
def release_subject_temps(self, code):
pass # Implement in nodes that need it
def dispose_of_subject_temps(self, code):
pass # Implement in nodes that need it
class MatchValuePatternNode(PatternNode):
"""
value ExprNode
is_is_check bool Picks "is" or equality check
"""
is_match_value_pattern = True
child_attrs = PatternNode.child_attrs + ["value"]
is_is_check = False
def get_main_pattern_targets(self):
return set()
def is_simple_value_comparison(self):
return True
def get_comparison_node(self, subject_node, sequence_mapping_temp=None):
# for this node the comparison and "simple" comparison are the same
return LazyCoerceToBool(self.pos,
arg=self.get_simple_comparison_node(subject_node)
)
def get_simple_comparison_node(self, subject_node):
op = "is" if self.is_is_check else "=="
return ExprNodes.PrimaryCmpNode(
self.pos, operator=op, operand1=subject_node, operand2=self.value
)
def analyse_declarations(self, env):
super(MatchValuePatternNode, self).analyse_declarations(env)
if self.value:
self.value.analyse_declarations(env)
def analyse_pattern_expressions(self, env, sequence_mapping_temp):
if self.value:
self.value = self.value.analyse_expressions(env)
return self
class MatchAndAssignPatternNode(PatternNode):
"""
target NameNode or None the target to assign to (None = wildcard)
is_star bool
"""
target = None
is_star = False
is_match_and_assign_pattern = True
child_attrs = PatternNode.child_attrs + ["target"]
def is_irrefutable(self):
return True
def irrefutable_message(self):
if self.target:
return "name capture '%s'" % self.target.name
else:
return "wildcard"
def get_main_pattern_targets(self):
if self.target:
return {self.target.name}
else:
return set()
def is_simple_value_comparison(self):
return self.is_irrefutable() # the comparison is to "True"
def get_simple_comparison_node(self, subject_node):
assert self.is_simple_value_comparison()
return self.get_comparison_node(subject_node, None)
def get_comparison_node(self, subject_node, sequence_mapping_temp=None):
return ExprNodes.BoolNode(self.pos, value=True)
def generate_main_pattern_assignment_list(self, subject_node, env):
if self.target:
return [
Nodes.SingleAssignmentNode(
self.pos, lhs=self.target.clone_node(), rhs=subject_node
)
]
else:
return []
def analyse_pattern_expressions(self, env, sequence_mapping_temp):
return self # nothing to analyse
class OrPatternNode(PatternNode):
"""
alternatives list of PatternNodes
generated:
which_alternative_temp - an integer temp node. 0 for failed; 1, 2...
identify the alternative that succeeded
"""
which_alternative_temp = None
sequence_mapping_temp = None # used in a similar way to MatchCaseNode,
# to avoid recalcutating if we're a sequence or mapping
child_attrs = PatternNode.child_attrs + ["alternatives"]
def get_first_irrefutable(self):
for alternative in self.alternatives:
if alternative.is_irrefutable():
return alternative
return None
def is_irrefutable(self):
return self.get_first_irrefutable() is not None
def irrefutable_message(self):
return self.get_first_irrefutable().irrefutable_message()
def is_sequence_or_mapping(self):
# this affects if the caller generates a temp for it. If so the
# this node can forward the temp to the relevant alternative
for a in self.alternatives:
if a.is_sequence_or_mapping():
return True
return False
def get_main_pattern_targets(self):
child_targets = None
for alternative in self.alternatives:
alternative_targets = alternative.get_targets()
if child_targets is not None and child_targets != alternative_targets:
error(self.pos, "alternative patterns bind different names")
child_targets = alternative_targets
return child_targets
def validate_irrefutable(self):
super(OrPatternNode, self).validate_irrefutable()
found_irrefutable_case = None
for alternative in self.alternatives:
if found_irrefutable_case:
error(
found_irrefutable_case.pos,
(
"%s makes remaining patterns unreachable"
% found_irrefutable_case.irrefutable_message()
),
)
break
if alternative.is_irrefutable():
found_irrefutable_case = alternative
alternative.validate_irrefutable()
def is_simple_value_comparison(self):
return all(
# it turns out to be hard to generate correct assignment code
# for or patterns with targets
a.is_simple_value_comparison() and not a.get_targets()
for a in self.alternatives
)
def is_really_simple_value_comparison(self):
# like is_simple_value_comparison but also doesn't have any targets
return (self.is_simple_value_comparison() and
all(not a.get_targets() for a in self.alternatives))
def get_simple_comparison_node(self, subject_node):
assert self.is_simple_value_comparison()
assert len(self.alternatives) >= 2, self.alternatives
checks = []
for a in self.alternatives:
checks.append(a.get_simple_comparison_node(subject_node))
if any(isinstance(ch, ExprNodes.BoolNode) and ch.value for ch in checks):
# handle the obvious very simple case
return ExprNodes.BoolNode(self.pos, value=True)
return generate_binop_tree_from_list(self.pos, "or", checks)
def get_comparison_node(self, subject_node, sequence_mapping_temp=None):
if self.is_really_simple_value_comparison():
return self.get_simple_comparison_node(subject_node)
cond_exprs = []
for n, a in enumerate(self.alternatives, start=1):
a_test = a.get_comparison_node(subject_node, sequence_mapping_temp)
a_value = ExprNodes.IntNode(a.pos, value=str(n))
if isinstance(a_test, ExprNodes.BoolNode) and a_test.value:
cond_exprs.append(a_value)
break # no point in going further
else:
cond_exprs.append(
ExprNodes.CondExprNode(
self.pos,
test = a_test,
true_val = a_value,
false_val = ExprNodes.IntNode(self.pos, value="0")
)
)
expr = generate_binop_tree_from_list(self.pos, "or", cond_exprs)
if self.which_alternative_temp:
expr = ExprNodes.AssignmentExpressionNode(
self.pos,
lhs = self.which_alternative_temp,
rhs = expr
)
return LazyCoerceToBool(expr.pos, arg=expr)
def analyse_declarations(self, env):
super(OrPatternNode, self).analyse_declarations(env)
for a in self.alternatives:
a.analyse_declarations(env)
def analyse_pattern_expressions(self, env, sequence_mapping_temp):
self.alternatives = [
a.analyse_pattern_expressions(env, sequence_mapping_temp)
for a in self.alternatives
]
if not sequence_mapping_temp:
sequence_mapping_count = 0
for a in self.alternatives:
if a.is_sequence_or_mapping():
sequence_mapping_count += 1
if sequence_mapping_count >= 2:
self.sequence_mapping_temp = AssignableTempNode(
self.pos, PyrexTypes.c_uint_type
)
self.sequence_mapping_temp.is_addressable = lambda: True
sequence_mapping_temp = self.sequence_mapping_temp
return self
def generate_main_pattern_assignment_list(self, subject_node, env):
assignments = []
ifclauses = []
for n, a in enumerate(self.alternatives, start=1):
a_assignment = a.generate_target_assignments(subject_node, env)
if a_assignment:
if not self.which_alternative_temp:
self.which_alternative_temp = AssignableTempNode(self.pos, PyrexTypes.c_int_type)
# Switch code paths depending on which node gets assigned
ifclause = Nodes.IfClauseNode(
a.pos,
condition=ExprNodes.PrimaryCmpNode(
a.pos,
operator="==",
operand1=self.which_alternative_temp,
operand2=ExprNodes.IntNode(a.pos, value=str(n))
),
body = a_assignment
)
ifclauses.append(ifclause)
if ifclauses:
assignments.append(
Nodes.IfStatNode(
self.pos,
if_clauses=ifclauses,
else_clause=None
)
)
return assignments
def allocate_subject_temps(self, code):
if self.sequence_mapping_temp:
self.sequence_mapping_temp.allocate(code)
code.putln(
"%s = 0; /* sequence/mapping test temp */"
% self.sequence_mapping_temp.result()
)
# For things that are a sequence at compile-time it's difficult
# to avoid generating the sequence mapping temp. Therefore, silence
# an "unused error"
code.putln("(void)%s;" % self.sequence_mapping_temp.result())
if self.which_alternative_temp:
self.which_alternative_temp.allocate(code)
for a in self.alternatives:
a.allocate_subject_temps(code)
def release_subject_temps(self, code):
if self.sequence_mapping_temp:
self.sequence_mapping_temp.release(code)
if self.which_alternative_temp:
self.which_alternative_temp.release(code)
for a in self.alternatives:
a.release_subject_temps(code)
def dispose_of_subject_temps(self, code):
if self.which_alternative_temp:
self.which_alternative_temp.generate_disposal_code(code)
if self.sequence_mapping_temp:
self.sequence_mapping_temp.generate_disposal_code(code)
for a in self.alternatives:
a.dispose_of_subject_temps(code)
class MatchSequencePatternNode(PatternNode):
"""
patterns list of PatternNodes
generated:
subjects [TrackTypeTempNode] individual subsubjects can be assigned to these
"""
subjects = None
needs_length_temp = False
child_attrs = PatternNode.child_attrs + ["patterns"]
Pyx_sequence_check_type = PyrexTypes.CFuncType(
PyrexTypes.c_bint_type,
[
PyrexTypes.CFuncTypeArg("o", PyrexTypes.py_object_type, None),
PyrexTypes.CFuncTypeArg(
"sequence_mapping_temp",
PyrexTypes.c_ptr_type(PyrexTypes.c_uint_type),
None,
),
],
exception_value="-1",
)
def is_sequence_or_mapping(self):
return True
def __init__(self, pos, **kwds):
super(MatchSequencePatternNode, self).__init__(pos, **kwds)
self.length_temp = AssignableTempNode(self.pos, PyrexTypes.c_py_ssize_t_type)
def get_main_pattern_targets(self):
targets = set()
star_count = 0
for pattern in self.patterns:
if pattern.is_match_and_assign_pattern and pattern.is_star:
star_count += 1
self.update_targets_with_targets(targets, pattern.get_targets())
if star_count > 1:
error(self.pos, "multiple starred names in sequence pattern")
return targets
def get_comparison_node(self, subject_node, sequence_mapping_temp=None):
from .UtilNodes import TempResultFromStatNode, ResultRefNode
test = None
assert getattr(self, "subject_temps", None) is not None
seq_test = self.make_sequence_check(subject_node, sequence_mapping_temp)
if isinstance(seq_test, ExprNodes.BoolNode) and not seq_test.value:
return seq_test # no point in proceeding further!
has_star = False
all_tests = [seq_test]
pattern_tests = []
for n, pattern in enumerate(self.patterns):
if isinstance(pattern, MatchAndAssignPatternNode) and pattern.is_star:
has_star = True
self.needs_length_temp = True
if self.subject_temps[n] is None:
# The subject has been identified as unneeded, so don't evaluate it
continue
p_test = pattern.get_comparison_node(self.subject_temps[n])
result_ref = ResultRefNode(pos=self.pos, type=PyrexTypes.c_bint_type)
subject_assignment = Nodes.SingleAssignmentNode(
self.pos,
lhs=self.subject_temps[n], # the temp node
rhs=self.subjects[n], # the regular node
)
test_assignment = Nodes.SingleAssignmentNode(
self.pos, lhs=result_ref, rhs=p_test
)
stats = Nodes.StatListNode(
self.pos, stats=[subject_assignment, test_assignment]
)
pattern_tests.append(TempResultFromStatNode(result_ref, stats))
min_length = len(self.patterns)
if has_star:
min_length -= 1
# check whether we need a length call...
if not (self.patterns and len(self.patterns) == 1 and has_star):
length_call = self.make_length_call_node(subject_node)
if length_call.is_literal and (
(has_star and min_length < length_call.constant_result)
or (not has_star and min_length != length_call.constant_result)
):
# definitely failed!
return ExprNodes.BoolNode(self.pos, value=False)
seq_len_test = ExprNodes.PrimaryCmpNode(
self.pos,
operator=">=" if has_star else "==",
operand1=length_call,
operand2=ExprNodes.IntNode(self.pos, value=str(min_length)),
)
all_tests.append(seq_len_test)
else:
self.needs_length_temp = False
all_tests.extend(pattern_tests)
test = generate_binop_tree_from_list(self.pos, "and", all_tests)
return LazyCoerceToBool(test.pos, arg=test)
def generate_subjects(self, subject_node, env):
assert self.subjects is None # not called twice
star_idx = None
for n, pattern in enumerate(self.patterns):
if pattern.is_match_and_assign_pattern and pattern.is_star:
star_idx = n
if star_idx is None:
idxs = list(range(len(self.patterns)))
else:
fwd_idxs = list(range(star_idx))
backward_idxs = list(range(star_idx - len(self.patterns) + 1, 0))
star_idx = (
fwd_idxs[-1] + 1 if fwd_idxs else None,
backward_idxs[0] if backward_idxs else None,
)
idxs = fwd_idxs + [star_idx] + backward_idxs
subjects = []
for pattern, idx in zip(self.patterns, idxs):
indexer = self.make_indexing_node(pattern, subject_node, idx, env)
subjects.append(ExprNodes.ProxyNode(indexer) if indexer else None)
self.subjects = subjects
self.subject_temps = [
None if p.is_irrefutable() else TrackTypeTempNode(self.pos, s)
for s, p in zip(self.subjects, self.patterns)
]
def generate_main_pattern_assignment_list(self, subject_node, env):
assignments = []
self.generate_subjects(subject_node, env)
for subject_temp, subject, pattern in zip(
self.subject_temps, self.subjects, self.patterns
):
needs_result_ref = False
if subject_temp is not None:
subject = subject_temp
else:
if subject is None:
assert not pattern.get_targets()
continue
elif not subject.is_literal or subject.is_temp:
from .UtilNodes import ResultRefNode, LetNode
subject = ResultRefNode(subject)
needs_result_ref = True
p_assignments = pattern.generate_target_assignments(subject, env)
if needs_result_ref:
p_assignments = LetNode(subject, p_assignments)
else:
p_assignments = p_assignments
if p_assignments:
assignments.append(p_assignments)
return assignments
def make_sequence_check(self, subject_node, sequence_mapping_temp):
# Note: the sequence check code is very quick on Python 3.10+
# but potentially quite slow on lower versions (although should
# be medium quick for common types). It'd be nice to cache the
# results of it where it's been called on the same object
# multiple times.
# DW has decided that that's too complicated to implement
# for now.
utility_code = UtilityCode.load_cached("IsSequence", "MatchCase.c")
if sequence_mapping_temp is not None:
sequence_mapping_temp = ExprNodes.AmpersandNode(
self.pos, operand=sequence_mapping_temp
)
else:
sequence_mapping_temp = ExprNodes.NullNode(self.pos)
call = ExprNodes.PythonCapiCallNode(
self.pos,
"__Pyx_MatchCase_IsSequence",
self.Pyx_sequence_check_type,
utility_code=utility_code,
args=[subject_node, sequence_mapping_temp],
)
def type_check(type):
# type-check need not be perfect, it's an optimization
if type in [Builtin.list_type, Builtin.tuple_type]:
return True
if type.is_memoryviewslice or type.is_ctuple:
return True
if type in [
Builtin.str_type,
Builtin.bytes_type,
Builtin.unicode_type,
Builtin.bytearray_type,
Builtin.dict_type,
Builtin.set_type,
]:
# non-exhaustive list at this stage, but returning "False" is
# an optimization so it's allowed to be non-exchaustive
return False
if type.is_numeric or type.is_struct or type.is_enum:
# again, not exhaustive
return False
return None
return StaticTypeCheckNode(
self.pos, arg=subject_node, fallback=call, check=type_check
)
def make_length_call_node(self, subject_node):
len_entry = Builtin.builtin_scope.lookup("len")
if subject_node.type.is_memoryviewslice:
len_call = ExprNodes.IndexNode(
self.pos,
base=ExprNodes.AttributeNode(
self.pos, obj=subject_node, attribute="shape"
),
index=ExprNodes.IntNode(self.pos, value="0"),
)
elif subject_node.type.is_ctuple:
len_call = ExprNodes.IntNode(
self.pos, value=str(len(subject_node.type.components))
)
else:
len_call = ExprNodes.SimpleCallNode(
self.pos,
function=ExprNodes.NameNode(self.pos, name="len", entry=len_entry),
args=[subject_node],
)
if self.needs_length_temp:
return ExprNodes.AssignmentExpressionNode(
self.pos, lhs=self.length_temp, rhs=len_call
)
else:
return len_call
def make_indexing_node(self, pattern, subject_node, idx, env):
if pattern.is_irrefutable() and not pattern.get_targets():
# Nothing to do - index isn't used
return None
def get_index_from_int(i):
if i is None:
return None
else:
int_node = ExprNodes.IntNode(pattern.pos, value=str(i))
if i >= 0:
return int_node
else:
self.needs_length_temp = True
return ExprNodes.binop_node(
pattern.pos,
operator="+",
operand1=self.length_temp,
operand2=int_node,
)
if isinstance(idx, tuple):
start = get_index_from_int(idx[0])
stop = get_index_from_int(idx[1])
indexer = SliceToListNode(
pattern.pos,
base=subject_node,
start=start,
stop=stop,
length_node=self.length_temp if self.needs_length_temp else None,
)
else:
indexer = CompilerDirectivesExprNode(
arg=ExprNodes.IndexNode(
pattern.pos, base=subject_node, index=get_index_from_int(idx)
),
directives=copy_inherited_directives(
env.directives, boundscheck=False, wraparound=False
),
)
return indexer
def analyse_declarations(self, env):
for p in self.patterns:
p.analyse_declarations(env)
return super(MatchSequencePatternNode, self).analyse_declarations(env)
def analyse_pattern_expressions(self, env, sequence_mapping_temp):
for n in range(len(self.subjects)):
if self.subjects[n]:
self.subjects[n] = self.subjects[n].analyse_types(env)
for n in range(len(self.patterns)):
self.patterns[n] = self.patterns[n].analyse_pattern_expressions(env, None)
return self
def allocate_subject_temps(self, code):
if self.needs_length_temp:
self.length_temp.allocate(code)
for temp in self.subject_temps:
if temp is not None:
temp.allocate(code)
for pattern in self.patterns:
pattern.allocate_subject_temps(code)
def release_subject_temps(self, code):
if self.needs_length_temp:
self.length_temp.release(code)
for temp in self.subject_temps:
if temp is not None:
temp.release(code)
for pattern in self.patterns:
pattern.release_subject_temps(code)
def dispose_of_subject_temps(self, code):
if self.needs_length_temp:
code.put_xdecref_clear(self.length_temp.result(), self.length_temp.type)
for temp in self.subject_temps:
if temp is not None:
code.put_xdecref_clear(temp.result(), temp.type)
for pattern in self.patterns:
pattern.dispose_of_subject_temps(code)
class MatchMappingPatternNode(PatternNode):
"""
keys list of Literals or AttributeNodes
value_patterns list of PatternNodes of equal length to keys
double_star_capture_target NameNode or None
needs_runtime_keycheck - bool - are there any keys which can only be resolved at runtime
subjects [temp nodes or None] individual subsubjects can be assigned to these
"""
keys = []
value_patterns = []
double_star_capture_target = None
subject_temps = None
double_star_temp = None
needs_runtime_keycheck = False
child_attrs = PatternNode.child_attrs + [
"keys",
"value_patterns",
"double_star_capture_target",
]
Pyx_mapping_check_type = PyrexTypes.CFuncType(
PyrexTypes.c_bint_type,
[
PyrexTypes.CFuncTypeArg("o", PyrexTypes.py_object_type, None),
PyrexTypes.CFuncTypeArg(
"sequence_mapping_temp",
PyrexTypes.c_ptr_type(PyrexTypes.c_uint_type),
None,
),
],
exception_value="-1",
)
# lie about the types of keys for simplicity
Pyx_mapping_check_duplicates_type = PyrexTypes.CFuncType(
PyrexTypes.c_int_type,
[
PyrexTypes.CFuncTypeArg("keys", PyrexTypes.c_void_ptr_type, None),
PyrexTypes.CFuncTypeArg("nKeys", PyrexTypes.c_py_ssize_t_type, None),
],
exception_value="-1",
)
# lie about the types of keys and subjects for simplicity
Pyx_mapping_extract_subjects_type = PyrexTypes.CFuncType(
PyrexTypes.c_bint_type,
[
PyrexTypes.CFuncTypeArg("mapping", PyrexTypes.py_object_type, None),
PyrexTypes.CFuncTypeArg("keys", PyrexTypes.c_void_ptr_type, None),
PyrexTypes.CFuncTypeArg("nKeys", PyrexTypes.c_py_ssize_t_type, None),
PyrexTypes.CFuncTypeArg("subjects", PyrexTypes.c_void_ptr_ptr_type, None),
],
exception_value="-1",
)
Pyx_mapping_doublestar_type = PyrexTypes.CFuncType(
Builtin.dict_type,
[
PyrexTypes.CFuncTypeArg("mapping", PyrexTypes.py_object_type, None),
PyrexTypes.CFuncTypeArg("keys", PyrexTypes.c_void_ptr_type, None),
PyrexTypes.CFuncTypeArg("nKeys", PyrexTypes.c_py_ssize_t_type, None),
],
)
def is_sequence_or_mapping(self):
return True
def get_main_pattern_targets(self):
targets = set()
for pattern in self.value_patterns:
self.update_targets_with_targets(targets, pattern.get_targets())
if self.double_star_capture_target:
self.add_target_to_targets(targets, self.double_star_capture_target.name)
return targets
def validate_keys(self):
# called after constant folding
seen_keys = set()
for k in self.keys:
if k.has_constant_result():
value = k.constant_result
if k.is_string_literal:
value = repr(value)
if value in seen_keys:
error(k.pos, "mapping pattern checks duplicate key (%s)" % value)
seen_keys.add(value)
else:
self.needs_runtime_keycheck = True
if self.keys:
# it's very useful to sort keys early so the literal keys
# come first
sorted_keys = sorted(
zip(self.keys, self.value_patterns),
key=lambda kvp: (not kvp[0].is_literal),
)
self.keys, self.value_patterns = [list(l) for l in zip(*sorted_keys)]
def analyse_declarations(self, env):
super(MatchMappingPatternNode, self).analyse_declarations(env)
self.validate_keys()
for k in self.keys:
k.analyse_declarations(env)
for vp in self.value_patterns:
vp.analyse_declarations(env)
if self.double_star_capture_target:
self.double_star_capture_target.analyse_declarations(env)
def generate_subjects(self, subject_node, env):
assert self.subject_temps is None # already calculated
subject_temps = []
for pattern in self.value_patterns:
if pattern.is_match_and_assign_pattern and not pattern.target:
subject_temps.append(None)
else:
subject_temps.append(
AssignableTempNode(pattern.pos, PyrexTypes.py_object_type)
)
self.subject_temps = subject_temps
def generate_main_pattern_assignment_list(self, subject_node, env):
self.generate_subjects(subject_node, env)
assignments = []
for subject, pattern in zip(self.subject_temps, self.value_patterns):
p_assignments = pattern.generate_target_assignments(subject, env)
if p_assignments:
assignments.extend(p_assignments.stats)
if self.double_star_capture_target:
self.double_star_temp = AssignableTempNode(self.pos, Builtin.dict_type)
assignments.append(
Nodes.SingleAssignmentNode(
self.double_star_temp.pos,
lhs=self.double_star_capture_target,
rhs=self.double_star_temp,
)
)
return assignments
def is_dict_type_check(self, type):
# Returns true if it's an exact dict, False if it's definitely not
# an exact dict, None if it might be
# type-check need not be perfect, it's an optimization
if type is Builtin.dict_type:
return True
if type in Builtin.builtin_types:
# all other builtin types aren't mappings (except DictProxyType, but
# Cython doesn't know about that)
return False
if not type.is_pyobject:
# for now any non-pyobject type is False
return False
return None
def make_mapping_check(self, subject_node, sequence_mapping_temp):
# Note: the mapping check code is very quick on Python 3.10+
# but potentially quite slow on lower versions (although should
# be medium quick for common types). It'd be nice to cache the
# results of it where it's been called on the same object
# multiple times.
# DW has decided that that's too complicated to implement
# for now.
utility_code = UtilityCode.load_cached("IsMapping", "MatchCase.c")
if sequence_mapping_temp is not None:
sequence_mapping_temp = ExprNodes.AmpersandNode(
self.pos, operand=sequence_mapping_temp
)
else:
sequence_mapping_temp = ExprNodes.NullNode(self.pos)
call = ExprNodes.PythonCapiCallNode(
self.pos,
"__Pyx_MatchCase_IsMapping",
self.Pyx_mapping_check_type,
utility_code=utility_code,
args=[subject_node, sequence_mapping_temp],
)
return StaticTypeCheckNode(
self.pos, arg=subject_node, fallback=call, check=self.is_dict_type_check
)
def make_duplicate_keys_check(self, n_fixed_keys):
utility_code = UtilityCode.load_cached("MappingKeyCheck", "MatchCase.c")
if n_fixed_keys == len(self.keys):
return None # nothing to check
return Nodes.ExprStatNode(
self.pos,
expr=ExprNodes.PythonCapiCallNode(
self.pos,
"__Pyx_MatchCase_CheckMappingDuplicateKeys",
self.Pyx_mapping_check_duplicates_type,
utility_code=utility_code,
args=[
MappingOrClassComparisonNode.make_keys_node(self.pos),
ExprNodes.IntNode(self.pos, value=str(n_fixed_keys)),
ExprNodes.IntNode(self.pos, value=str(len(self.keys)))
],
),
)
def check_all_keys(self, subject_node):
# It's debatable here whether to go for individual unpacking or a function.
# Current implementation is a function that's loosely copied from CPython.
# For small numbers of keys it might be better to generate the code instead.
# There's three versions depending on if we know that the type is exactly
# a dict, definitely not or dict, or unknown.
# The advantages of generating a function are:
# * more compact code
# * easier to check the type once then branch the implementation
# * faster in the cases that are more likely to fail due to wrong keys being
# present than due to the values not matching the patterns
if not self.keys:
return ExprNodes.BoolNode(self.pos, value=True)
is_dict = self.is_dict_type_check(subject_node.type)
if is_dict:
util_code = UtilityCode.load_cached("ExtractExactDict", "MatchCase.c")
func_name = "__Pyx_MatchCase_Mapping_ExtractDict"
elif is_dict is False: # exact False... None indicates "might be dict"
# For any other non-generic PyObject type
util_code = UtilityCode.load_cached("ExtractNonDict", "MatchCase.c")
func_name = "__Pyx_MatchCase_Mapping_ExtractNonDict"
else:
util_code = UtilityCode.load_cached("ExtractGeneric", "MatchCase.c")
func_name = "__Pyx_MatchCase_Mapping_Extract"
return ExprNodes.PythonCapiCallNode(
self.pos,
func_name,
self.Pyx_mapping_extract_subjects_type,
utility_code=util_code,
args=[
subject_node,
MappingOrClassComparisonNode.make_keys_node(self.pos),
ExprNodes.IntNode(
self.pos,
value=str(len(self.keys))
),
MappingOrClassComparisonNode.make_subjects_node(self.pos),
],
)
def make_double_star_capture(self, subject_node, test_result):
# test_result being the variable that holds "case check passed until now"
is_dict = self.is_dict_type_check(subject_node.type)
if is_dict:
tag = "ExactDict"
elif is_dict is False:
tag = "NotDict"
else:
tag = ""
utility_code = TempitaUtilityCode.load_cached(
"DoubleStarCapture", "MatchCase.c", context={"tag": tag}
)
func = ExprNodes.PythonCapiCallNode(
self.double_star_capture_target.pos,
"__Pyx_MatchCase_DoubleStarCapture" + tag,
self.Pyx_mapping_doublestar_type,
utility_code=utility_code,
args=[
subject_node,
MappingOrClassComparisonNode.make_keys_node(self.pos),
ExprNodes.IntNode(self.pos, value=str(len(self.keys)))
],
)
assignment = Nodes.SingleAssignmentNode(
self.double_star_capture_target.pos, lhs=self.double_star_temp, rhs=func
)
if_clause = Nodes.IfClauseNode(
self.double_star_capture_target.pos, condition=test_result, body=assignment
)
return Nodes.IfStatNode(
self.double_star_capture_target.pos,
if_clauses=[if_clause],
else_clause=None,
)
def get_comparison_node(self, subject_node, sequence_mapping_temp=None):
from . import UtilNodes
var_keys = []
n_literal_keys = 0
for k in self.keys:
if not k.is_literal:
var_keys.append(k)
else:
n_literal_keys += 1
all_tests = []
all_tests.append(self.make_mapping_check(subject_node, sequence_mapping_temp))
all_tests.append(self.check_all_keys(subject_node))
if any(isinstance(test, ExprNodes.BoolNode) and not test.value for test in all_tests):
# identify automatic-failure
return ExprNodes.BoolNode(self.pos, value=False)
for pattern, subject in zip(self.value_patterns, self.subject_temps):
if pattern.is_irrefutable():
continue
assert subject
all_tests.append(pattern.get_comparison_node(subject))
all_tests = generate_binop_tree_from_list(self.pos, "and", all_tests)
test_result = UtilNodes.ResultRefNode(pos=self.pos, type=PyrexTypes.c_bint_type)
duplicate_check = self.make_duplicate_keys_check(n_literal_keys)
body = Nodes.StatListNode(
self.pos,
stats=([duplicate_check] if duplicate_check else []) + [
Nodes.SingleAssignmentNode(self.pos, lhs=test_result, rhs=all_tests),
],
)
if self.double_star_capture_target:
assert self.double_star_temp
body.stats.append(
# make_double_star_capture wraps itself in an if
self.make_double_star_capture(subject_node, test_result)
)
if duplicate_check or self.double_star_capture_target:
body = UtilNodes.TempResultFromStatNode(test_result, body)
else:
body = all_tests
if self.keys or self.double_star_capture_target:
body = MappingOrClassComparisonNode(
body.pos,
arg=LazyCoerceToBool(body.pos, arg=body),
keys_array=self.keys,
subjects_array=self.subject_temps
)
return LazyCoerceToBool(body.pos, arg=body)
def analyse_pattern_expressions(self, env, sequence_mapping_temp):
def to_temp_or_literal(node):
if node.is_literal:
return node
else:
return node.coerce_to_temp(env)
self.keys = [
to_temp_or_literal(k.analyse_expressions(env))
for k in self.keys
]
self.value_patterns = [ p.analyse_pattern_expressions(env, None) for p in self.value_patterns ]
return self
def allocate_subject_temps(self, code):
for temp in self.subject_temps:
if temp is not None:
temp.allocate(code)
for pattern in self.value_patterns:
pattern.allocate_subject_temps(code)
if self.double_star_temp:
self.double_star_temp.allocate(code)
def release_subject_temps(self, code):
for temp in self.subject_temps:
if temp is not None:
temp.release(code)
for pattern in self.value_patterns:
pattern.release_subject_temps(code)
if self.double_star_temp:
self.double_star_temp.release(code)
def dispose_of_subject_temps(self, code):
for temp in self.subject_temps:
if temp is not None:
code.put_xdecref_clear(temp.result(), temp.type)
for pattern in self.value_patterns:
pattern.dispose_of_subject_temps(code)
if self.double_star_temp:
code.put_xdecref_clear(
self.double_star_temp.result(), self.double_star_temp.type
)
class ClassPatternNode(PatternNode):
"""
class_ NameNode or AttributeNode
positional_patterns list of PatternNodes
keyword_pattern_names list of NameNodes
keyword_pattern_patterns list of PatternNodes
(same length as keyword_pattern_names)
"""
class_ = None
positional_patterns = []
keyword_pattern_names = []
keyword_pattern_patterns = []
# as with the mapping functions, lie a little about some of the types for
# ease of declaration
Pyx_positional_type = PyrexTypes.CFuncType(
PyrexTypes.c_bint_type,
[
PyrexTypes.CFuncTypeArg("subject", PyrexTypes.py_object_type, None),
PyrexTypes.CFuncTypeArg("type", Builtin.type_type, None),
PyrexTypes.CFuncTypeArg("fixed_names", PyrexTypes.c_void_ptr_type, None),
PyrexTypes.CFuncTypeArg("n_fixed", PyrexTypes.c_py_ssize_t_type, None),
PyrexTypes.CFuncTypeArg("match_self", PyrexTypes.c_int_type, None),
PyrexTypes.CFuncTypeArg("subjects", PyrexTypes.c_void_ptr_ptr_type, None),
PyrexTypes.CFuncTypeArg("n_subjects", PyrexTypes.c_int_type, None),
],
exception_value="-1",
)
Pyx_istype_type = PyrexTypes.CFuncType(
Builtin.type_type,
[
PyrexTypes.CFuncTypeArg("type", PyrexTypes.py_object_type, None),
],
)
child_attrs = PatternNode.child_attrs + [
"class_",
"positional_patterns",
"keyword_pattern_patterns",
# keyword_pattern_names are deliberately excluded. They're only NameNodes as a
# convenient way of storing a name and a pos. There's nothing to be gained from
# processing them
]
def generate_subjects(self, subject_node):
assert not hasattr(self, "keyword_subject_temps")
if self.class_known_type:
# maximizes type inference
subject_node = ExprNodes.TypecastNode(
subject_node.pos,
operand=subject_node,
type=self.class_known_type,
typecheck=False,
)
self.keyword_subject_temps = []
self.keyword_subject_attrs = []
for p, p_name in zip(self.keyword_pattern_patterns, self.keyword_pattern_names):
# The attribute lookups are calculated here to maximize chance of type interference
attr_lookup = ExprNodes.AttributeNode(
p_name.pos, obj=subject_node, attribute=p_name.name, dont_mangle_private_names=True
)
self.keyword_subject_attrs.append(attr_lookup)
if not p.get_targets() and p.is_irrefutable():
self.keyword_subject_temps.append(None)
else:
# Hopefully the type can be assigned later
self.keyword_subject_temps.append(TrackTypeTempNode(p.pos, attr_lookup))
self.positional_subject_temps = []
for p in self.positional_patterns:
if not p.get_targets() and p.is_irrefutable():
self.positional_subject_temps.append(None)
else:
self.positional_subject_temps.append(
AssignableTempNode(p.pos, PyrexTypes.py_object_type)
)
def get_main_pattern_targets(self):
targets = set()
for pattern in self.positional_patterns + self.keyword_pattern_patterns:
self.update_targets_with_targets(targets, pattern.get_targets())
return targets
def generate_main_pattern_assignment_list(self, subject_node, env):
self.generate_subjects(subject_node)
assignments = []
patterns = self.keyword_pattern_patterns + self.positional_patterns
temps = self.keyword_subject_temps + self.positional_subject_temps
for pattern, temp in zip(patterns, temps):
pattern_assignments = pattern.generate_target_assignments(temp, env)
if pattern_assignments:
assignments.extend(pattern_assignments.stats)
return assignments
def make_typecheck_call(self, subject_node, class_node):
if not subject_node.type.is_pyobject:
with local_errors(True) as errors:
# TODO - it'd be nice to be able to match up simple c types
# e.g. "int" to "int", "double" to "double"
# without having to go through this
subject_node = LazyCoerceToPyObject(subject_node.pos, arg=subject_node)
if errors:
return ExprNodes.BoolNode(self.pos, value=False)
if self.class_known_type:
if not self.class_known_type.is_pyobject:
error(self.pos, "class must be a Python object")
return ExprNodes.BoolNode(self.pos, value=False)
if subject_node.type.subtype_of_resolved_type(self.class_known_type):
if subject_node.may_be_none():
return ExprNodes.PrimaryCmpNode(
self.pos,
operator="is_not",
operand1=subject_node,
operand2=ExprNodes.NoneNode(self.pos),
)
else:
return ExprNodes.BoolNode(self.pos, value=True)
# if subject_node.type is not PyrexTypes.py_object_type
# I suspect the value is false, but possibly can't prove it
return ExprNodes.SimpleCallNode(
self.pos,
function=ExprNodes.NameNode(
self.pos,
name="isinstance",
entry=Builtin.builtin_scope.lookup("isinstance"),
),
args=[subject_node, class_node],
)
def make_keyword_pattern_lookups(self):
# These are always looking up fixed names.
# Therefore, get best efficiency by letting Cython do the lookup
# and so infer the types
assert self.keyword_pattern_names
from .UtilNodes import ResultRefNode, TempResultFromStatNode
passed_rr = ResultRefNode(pos=self.pos, type=PyrexTypes.c_bint_type)
stats = []
for pattern_name, subject_temp, lookup in zip(
self.keyword_pattern_names,
self.keyword_subject_temps,
self.keyword_subject_attrs,
):
if subject_temp:
subject_temp.arg = lookup # it should now know the type
stat = Nodes.SingleAssignmentNode(
pattern_name.pos, lhs=subject_temp, rhs=lookup
)
else:
stat = Nodes.ExprStatNode(pattern_name.pos, expr=lookup)
stats.append(stat)
except_clause = Nodes.ExceptClauseNode(
self.pos,
pattern=[
ExprNodes.NameNode(
self.pos,
name="AttributeError",
entry=Builtin.builtin_scope.lookup("AttributeError"),
)
],
body=Nodes.StatListNode(
self.pos,
stats=[
Nodes.SingleAssignmentNode(
self.pos,
lhs=passed_rr,
rhs=ExprNodes.BoolNode(self.pos, value=False),
)
],
),
target=None,
)
else_clause = Nodes.SingleAssignmentNode(
self.pos, lhs=passed_rr, rhs=ExprNodes.BoolNode(self.pos, value=True)
)
try_except = Nodes.TryExceptStatNode(
self.pos,
body=Nodes.StatListNode(self.pos, stats=stats),
except_clauses=[except_clause],
else_clause=else_clause,
)
return TempResultFromStatNode(passed_rr, try_except)
def make_positional_args_call(self, subject_node, class_node):
assert self.positional_patterns
util_code = UtilityCode.load_cached("ClassPositionalPatterns", "MatchCase.c")
keynames = [
ExprNodes.StringNode(n.pos, value=n.name)
for n in self.keyword_pattern_names
]
# -1 is "unknown"
match_self = (
-1
if (len(self.positional_patterns) == 1 and not self.keyword_pattern_names)
else 0
)
if match_self and self.class_known_type:
for t in [
# Builtin.bool_type ends up being py_object_type
Builtin.bytearray_type,
Builtin.bytes_type,
Builtin.dict_type,
Builtin.float_type,
Builtin.frozenset_type,
Builtin.long_type,
Builtin.list_type,
Builtin.set_type,
Builtin.unicode_type,
Builtin.str_type,
Builtin.tuple_type,
]:
if self.class_known_type.subtype_of_resolved_type(t):
match_self = 1
break
else:
if self.class_known_type.is_extension_type and not (
self.class_known_type.is_external
or not self.class_known_type.scope.method_table_cname
): # effectively extern visibility
match_self = 0 # I think... Relies on knowing the bases
match_self = ExprNodes.IntNode(self.pos, value=str(match_self))
n_subjects = ExprNodes.IntNode(self.pos, value=str(len(self.positional_patterns)))
return MappingOrClassComparisonNode(
self.pos,
arg=ExprNodes.PythonCapiCallNode(
self.pos,
"__Pyx_MatchCase_ClassPositional",
self.Pyx_positional_type,
utility_code=util_code,
args=[
subject_node,
class_node,
MappingOrClassComparisonNode.make_keys_node(self.pos),
ExprNodes.IntNode(self.pos, value=str(len(keynames))),
match_self,
MappingOrClassComparisonNode.make_subjects_node(self.pos),
n_subjects,
]
),
subjects_array=self.positional_subject_temps,
keys_array=keynames,
)
return
def make_subpattern_checks(self):
patterns = self.keyword_pattern_patterns + self.positional_patterns
temps = self.keyword_subject_temps + self.positional_subject_temps
checks = []
for temp, pattern in zip(temps, patterns):
if temp:
checks.append(pattern.get_comparison_node(temp))
return checks
def get_comparison_node(self, subject_node, sequence_mapping_temp=None):
from .UtilNodes import ResultRefNode, EvalWithTempExprNode
if self.class_known_type:
class_node = self.class_.clone_node()
class_node.entry = self.class_known_type.entry
else:
if not self.class_.type is Builtin.type_type:
util_code = UtilityCode.load_cached("MatchClassIsType", "MatchCase.c")
class_node = ExprNodes.PythonCapiCallNode(
self.pos,
"__Pyx_MatchCase_IsType",
self.Pyx_istype_type,
utility_code=util_code,
args=[self.class_],
)
class_node = ResultRefNode(class_node)
all_checks = []
all_checks.append(self.make_typecheck_call(subject_node, class_node))
if self.class_known_type:
# From this point on we know the type of the subject
subject_node = ExprNodes.TypecastNode(
self.class_.pos,
operand=subject_node,
type=self.class_known_type,
typecheck=False,
)
if self.positional_patterns:
all_checks.append(self.make_positional_args_call(subject_node, class_node))
if self.keyword_pattern_names:
all_checks.append(self.make_keyword_pattern_lookups())
all_checks.extend(self.make_subpattern_checks())
if any(isinstance(ch, ExprNodes.BoolNode) and not ch.value for ch in all_checks):
# handle any obvious failures
return ExprNodes.BoolNode(self.pos, value=False)
all_checks = generate_binop_tree_from_list(self.pos, "and", all_checks)
if isinstance(class_node, ResultRefNode) and not all_checks.is_literal:
return LazyCoerceToBool(class_node.pos, arg=EvalWithTempExprNode(class_node, all_checks))
else:
return LazyCoerceToBool(all_checks.pos, arg=all_checks)
def analyse_declarations(self, env):
self.validate_keywords()
# Try to work out the type early
self.class_.analyse_declarations(env)
self.class_known_type = self.class_.analyse_as_extension_type(env)
for p in self.positional_patterns:
p.analyse_declarations(env)
for p_name, p in zip(self.keyword_pattern_names, self.keyword_pattern_patterns):
p_name.analyse_declarations(env)
p.analyse_declarations(env)
super(ClassPatternNode, self).analyse_declarations(env)
def analyse_pattern_expressions(self, env, sequence_mapping_temp):
self.class_ = self.class_.analyse_types(env)
self.keyword_subject_attrs = [ a.analyse_types(env) for a in self.keyword_subject_attrs ]
self.keyword_pattern_patterns = [ p.analyse_pattern_expressions(env, None) for p in self.keyword_pattern_patterns ]
self.positional_patterns = [ p.analyse_pattern_expressions(env, None) for p in self.positional_patterns ]
return self
def allocate_subject_temps(self, code):
for temp in self.keyword_subject_temps + self.positional_subject_temps:
if temp is not None:
temp.allocate(code)
for pattern in self.keyword_pattern_patterns + self.positional_patterns:
pattern.allocate_subject_temps(code)
def release_subject_temps(self, code):
for temp in self.keyword_subject_temps + self.positional_subject_temps:
if temp is not None:
temp.release(code)
for pattern in self.keyword_pattern_patterns + self.positional_patterns:
pattern.release_subject_temps(code)
def dispose_of_subject_temps(self, code):
for temp in self.keyword_subject_temps + self.positional_subject_temps:
if temp is not None:
code.put_xdecref_clear(temp.result(), temp.type)
for pattern in self.keyword_pattern_patterns + self.positional_patterns:
pattern.dispose_of_subject_temps(code)
def validate_keywords(self):
seen = set()
for kw in self.keyword_pattern_names:
if kw.name in seen:
error(
kw.name, "attribute name repeated in class pattern: '%s" % kw.name
)
seen.add(kw.name)
class SubstitutedIfStatListNode(Nodes.StatListNode):
"""
Like StatListNode but with a "goto end of match" at the
end of it
match_node - the enclosing match statement
"""
def generate_execution_code(self, code):
super(SubstitutedIfStatListNode, self).generate_execution_code(code)
if not self.is_terminator:
code.put_goto(self.match_node.end_label)
class StaticTypeCheckNode(ExprNodes.ExprNode):
"""
Useful for structural pattern matching, where we
can skip the "is_seqeunce/is_mapping" checks if
we know the type in advantage (or reduce it to a
None check).
This should optimize itself out at the analyse_expressions
stage
arg ExprNode
fallback ExprNode Function to be called if the static
typecheck isn't optimized out
check callable Returns True, False, or None (for "can't tell")
"""
child_attrs = ["fallback"] # arg in not included since it's in "fallback"
def analyse_types(self, env):
check = self.check(self.arg.type)
if check:
if self.arg.may_be_none():
return ExprNodes.PrimaryCmpNode(
self.pos,
operand1=self.arg,
operand2=ExprNodes.NoneNode(self.pos),
operator="is_not",
).analyse_expressions(env)
else:
return ExprNodes.BoolNode(pos=self.pos, value=True).analyse_expressions(
env
)
elif check is None:
return self.fallback.analyse_expressions(env)
else:
return ExprNodes.BoolNode(pos=self.pos, value=False).analyse_expressions(
env
)
class AssignableTempNode(ExprNodes.TempNode):
lhs_of_first_assignment = True # assume it can be assigned to once
_assigned_twice = False
def infer_type(self, env):
return self.type
def generate_assignment_code(self, rhs, code, overloaded_assignment=False):
assert (
not self._assigned_twice
) # if this happens it's not a disaster but it needs a refactor
self._assigned_twice = True
if self.type.is_pyobject:
rhs.make_owned_reference(code)
if not self.lhs_of_first_assignment:
code.put_decref(self.result(), self.ctype())
code.putln(
"%s = %s;"
% (
self.result(),
rhs.result() if overloaded_assignment else rhs.result_as(self.ctype()),
)
)
rhs.generate_post_assignment_code(code)
rhs.free_temps(code)
def generate_post_assignment_code(self, code):
code.put_incref(self.result(), self.type)
def generate_disposal_code(self, code):
pass # handled elsewhere - we expect to use this temp multiple times
def clone_node(self):
return self # temps break if you make a copy!
class TrackTypeTempNode(AssignableTempNode):
# Like a temp node, but type is set from arg
lhs_of_first_assignment = True # assume it can be assigned to once
_assigned_twice = False
@property
def type(self):
return getattr(self.arg, "type", None)
def __init__(self, pos, arg):
ExprNodes.ExprNode.__init__(self, pos) # skip a level
self.arg = arg
def infer_type(self, env):
return self.arg.infer_type(env)
class SliceToListNode(ExprNodes.ExprNode):
"""
Used as a brief temporary node to optimize
case [..., *_, ...].
Always reduces to something else after analyse_types
"""
subexprs = ["base", "start", "stop", "length_node"]
type = Builtin.list_type
Pyx_iterable_to_list_type = PyrexTypes.CFuncType(
Builtin.list_type,
[
PyrexTypes.CFuncTypeArg("iterable", PyrexTypes.py_object_type, None),
PyrexTypes.CFuncTypeArg("start", PyrexTypes.c_py_ssize_t_type, None),
PyrexTypes.CFuncTypeArg("stop", PyrexTypes.c_py_ssize_t_type, None),
],
)
def generate_via_slicing(self, env):
# for any more complicated type that doesn't have a specialized path
# we can simply slice it and copy it to list
res = CompilerDirectivesExprNode(
arg=ExprNodes.SliceIndexNode(
self.pos, base=self.base, start=self.start, stop=self.stop
),
directives=copy_inherited_directives(
env.directives, boundcheck=False, wraparound=False
),
)
res = ExprNodes.SimpleCallNode(
self.pos,
function=ExprNodes.NameNode(
self.pos,
name="list",
entry=Builtin.builtin_scope.lookup("list"),
),
args=[res],
)
return res
def get_stop(self):
if not self.stop:
if self.length_node:
return self.length_node
else:
return ExprNodes.SimpleCallNode(
self.pos,
function=ExprNodes.NameNode(
self.pos, name="len", entry=Builtin.builtin_scope.lookup("len")
),
args=[self.base],
)
else:
return self.stop
def generate_for_memoryview(self, env):
# Requires Cython code generation...
# A list comprehension with indexing turns out to be a good option
from .UtilityCode import CythonUtilityCode
suffix = self.base.type.specialization_suffix()
util_code = CythonUtilityCode.load(
"MemoryviewSliceToList",
"MatchCase_Cy.pyx",
context={
"decl_code": self.base.type.empty_declaration_code(pyrex=True),
"suffix": suffix,
},
)
func_type = PyrexTypes.CFuncType(
Builtin.list_type,
[
PyrexTypes.CFuncTypeArg("x", self.base.type, None),
PyrexTypes.CFuncTypeArg("start", PyrexTypes.c_py_ssize_t_type, None),
PyrexTypes.CFuncTypeArg("stop", PyrexTypes.c_py_ssize_t_type, None),
],
)
env.use_utility_code(
util_code
) # attaching it to the call node doesn't seem enough
return ExprNodes.PythonCapiCallNode(
self.pos,
"__Pyx_MatchCase_SliceMemoryview_%s" % suffix,
func_type,
utility_code=util_code,
args=[
self.base,
self.start if self.start else ExprNodes.IntNode(self.pos, value="0"),
self.get_stop(),
],
)
def generate_for_pyobject(self):
util_code_name = None
func_name = None
if self.base.type is Builtin.tuple_type:
util_code_name = "TupleSliceToList"
elif self.base.type is Builtin.list_type:
func_name = "PyList_GetSlice"
elif (
self.base.type.is_pyobject
and not self.base.type is PyrexTypes.py_object_type
):
# some specialized type that almost certainly isn't a list. Just go straight
# to the "other" version of it
util_code_name = "OtherSequenceSliceToList"
else:
util_code_name = "UnknownTypeSliceToList"
if not func_name:
func_name = "__Pyx_MatchCase_%s" % util_code_name
if util_code_name:
util_code = UtilityCode.load_cached(
util_code_name,
"MatchCase.c"
)
else:
util_code = None
start = self.start if self.start else ExprNodes.IntNode(self.pos, value="0")
stop = self.get_stop()
return ExprNodes.PythonCapiCallNode(
self.pos,
func_name,
self.Pyx_iterable_to_list_type,
utility_code=util_code,
args=[self.base, start, stop],
)
def analyse_types(self, env):
self.base = self.base.analyse_types(env)
if self.base.type.is_memoryviewslice:
result = self.generate_for_memoryview(env)
elif self.base.type.is_pyobject:
result = self.generate_for_pyobject()
else:
# Some other type (probably a ctuple).
# Just slice it, copy it to a list and hope it works
result = self.generate_via_slicing(env)
return result.analyse_types(env)
class CompilerDirectivesExprNode(ExprNodes.ProxyNode):
# Like compiler directives node, but for an expression
# directives {string:value} A dictionary holding the right value for
# *all* possible directives.
# arg ExprNode
def __init__(self, arg, directives):
super(CompilerDirectivesExprNode, self).__init__(arg)
self.directives = directives
@contextmanager
def _apply_directives(self, obj):
old = obj.directives
obj.directives = self.directives
yield
obj.directives = old
@property
def is_temp(self):
return self.arg.is_temp
def infer_type(self, env):
with self._apply_directives(env):
return super(CompilerDirectivesExprNode, self).infer_type(env)
def analyse_declarations(self, env):
with self._apply_directives(env):
self.arg.analyse_declarations(env)
def analyse_types(self, env):
with self._apply_directives(env):
return super(CompilerDirectivesExprNode, self).analyse_types(env)
def generate_result_code(self, code):
with self._apply_directives(code.globalstate):
super(CompilerDirectivesExprNode, self).generate_result_code(code)
def generate_evaluation_code(self, code):
with self._apply_directives(code.globalstate):
super(CompilerDirectivesExprNode, self).generate_evaluation_code(code)
def generate_disposal_code(self, code):
with self._apply_directives(code.globalstate):
super(CompilerDirectivesExprNode, self).generate_disposal_code(code)
def free_temps(self, code):
with self._apply_directives(code.globalstate):
super(CompilerDirectivesExprNode, self).free_temps(code)
def annotate(self, code):
with self._apply_directives(code.globalstate):
self.arg.annotate(code)
class LazyCoerceToPyObject(ExprNodes.ExprNode):
"""
Just calls "self.arg.coerce_to_pyobject" when it's analysed,
so doesn't need 'env' when it's created
arg - ExprNode
"""
subexprs = ["arg"]
type = PyrexTypes.py_object_type
def analyse_types(self, env):
return self.arg.analyse_types(env).coerce_to_pyobject(env)
class LazyCoerceToBool(ExprNodes.ExprNode):
"""
Just calls "self.arg.coerce_to_bool" when it's analysed,
so doesn't need 'env' when it's created
arg - ExprNode
"""
subexprs = ["arg"]
type = PyrexTypes.c_bint_type
def analyse_types(self, env):
return self.arg.analyse_boolean_expression(env)
def generate_binop_tree_from_list(pos, operator, list_of_tests):
"""
Given a list of operands generates a roughly balanced tree:
(test1 op test2) op (test3 op test4)
This is better than (((test1 op test2) op test3) op test4)
because it generates a shallower tree of nodes so is
less likely to overflow the compiler
"""
len_tests = len(list_of_tests)
if len_tests == 1:
return list_of_tests[0]
else:
split_idx = len_tests // 2
operand1 = generate_binop_tree_from_list(
pos, operator, list_of_tests[:split_idx]
)
operand2 = generate_binop_tree_from_list(
pos, operator, list_of_tests[split_idx:]
)
return ExprNodes.binop_node(
pos,
operator=operator,
operand1=operand1,
operand2=operand2
)
class MappingOrClassComparisonNode(ExprNodes.ExprNode):
"""
Combined with MappingOrClassComparisonNodeInner this is responsible
for setting up up the arrays of subjects and keys that are used in
the function calls that handle these types of patterns
Note that self.keys_array is owned by this but used by
MappingOrClassComparisonNodeInner - that's mainly to ensure that
it gets evaluated in the correct order
"""
subexprs = ["keys_array", "inner"]
keys_array_cname = "__pyx_match_mapping_keys"
subjects_array_cname = "__pyx_match_mapping_subjects"
@property
def type(self):
return self.inner.type
@classmethod
def make_keys_node(cls, pos):
return ExprNodes.RawCNameExprNode(
pos,
type=PyrexTypes.c_void_ptr_type,
cname=cls.keys_array_cname
)
@classmethod
def make_subjects_node(cls, pos):
return ExprNodes.RawCNameExprNode(
pos,
type=PyrexTypes.c_void_ptr_ptr_type,
cname=cls.subjects_array_cname
)
def __init__(self, pos, arg, subjects_array, **kwds):
super(MappingOrClassComparisonNode, self).__init__(pos, **kwds)
self.inner = MappingOrClassComparisonNodeInner(
pos,
arg=arg,
keys_array = self.keys_array,
subjects_array = subjects_array
)
def analyse_types(self, env):
self.inner = self.inner.analyse_types(env)
self.keys_array = [
key.analyse_types(env).coerce_to_simple(env) for key in self.keys_array
]
return self
def generate_result_code(self, code):
pass
def calculate_result_code(self):
return self.inner.calculate_result_code()
class MappingOrClassComparisonNodeInner(ExprNodes.ExprNode):
"""
Sets up the arrays of subjects and keys
Created by the constructor of MappingComparisonNode
(no need to create directly)
has attributes:
* arg - the main comparison node
* keys_array - list of ExprNodes representing keys
* subjects_array - list of ExprNodes representing subjects
"""
subexprs = ['arg']
@property
def type(self):
return self.arg.type
def analyse_types(self, env):
self.arg = self.arg.analyse_types(env)
for n in range(len(self.keys_array)):
key = self.keys_array[n].analyse_types(env)
key = key.coerce_to_pyobject(env)
self.keys_array[n] = key
assert self.arg.type is PyrexTypes.c_bint_type
return self
def generate_evaluation_code(self, code):
code.putln("{")
keys_str = ", ".join(k.result() for k in self.keys_array)
if not keys_str:
# GCC gets worried about overflow if we pass
# a genuinely empty array
keys_str = "NULL"
code.putln("PyObject *%s[] = {%s};" % (
MappingOrClassComparisonNode.keys_array_cname,
keys_str,
))
subjects_str = ", ".join(
"&"+subject.result() if subject is not None else "NULL" for subject in self.subjects_array
)
if not subjects_str:
# GCC gets worried about overflow if we pass
# a genuinely empty array
subjects_str = "NULL"
code.putln("PyObject **%s[] = {%s};" % (
MappingOrClassComparisonNode.subjects_array_cname,
subjects_str
))
super(MappingOrClassComparisonNodeInner, self).generate_evaluation_code(code)
code.putln("}")
def generate_result_code(self, code):
pass
def calculate_result_code(self):
return self.arg.result()
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