def _buildContractionBodyNode(
provider,
node,
emit_class,
start_value,
container_tmp,
iter_tmp,
temp_scope,
assign_provider,
function_body,
for_asyncgen,
source_ref,
):
# This uses lots of variables and branches. There is no good way
# around that, and we deal with many cases, due to having generator
# expressions sharing this code, pylint: disable=too-many-branches,too-many-locals,too-many-statements
# Note: The assign_provider is only to cover Python2 list contractions,
# assigning one of the loop variables to the outside scope.
tmp_variables = []
if emit_class is not ExpressionYield:
tmp_variables.append(iter_tmp)
if container_tmp is not None:
tmp_variables.append(container_tmp)
statements = []
# First assign the iterator if we are an outline.
if assign_provider:
statements.append(
StatementAssignmentVariable(
variable=iter_tmp,
source=_makeIteratorCreation(
provider=provider,
qual=node.generators[0],
for_asyncgen=False,
source_ref=source_ref,
),
source_ref=source_ref.atInternal(),
)
)
if for_asyncgen and python_version >= 370 and node.generators[0].is_async:
statements.append(
StatementAssignmentVariable(
variable=iter_tmp,
source=ExpressionTempVariableRef(
variable=iter_tmp, source_ref=source_ref
),
source_ref=source_ref,
)
)
if start_value is not None:
statements.append(
StatementAssignmentVariable(
variable=container_tmp,
source=makeConstantRefNode(constant=start_value, source_ref=source_ref),
source_ref=source_ref.atInternal(),
)
)
if hasattr(node, "elt"):
if start_value is not None:
current_body = emit_class(
ExpressionTempVariableRef(
variable=container_tmp, source_ref=source_ref
),
buildNode(
provider=function_body if not assign_provider else provider,
node=node.elt,
source_ref=source_ref,
),
source_ref=source_ref,
)
else:
assert emit_class is ExpressionYield
current_body = emit_class(
buildNode(provider=function_body, node=node.elt, source_ref=source_ref),
source_ref=source_ref,
)
else:
assert emit_class is StatementDictOperationSet
current_body = StatementDictOperationSet(
dict_arg=ExpressionTempVariableRef(
variable=container_tmp, source_ref=source_ref
),
key=buildNode(
provider=function_body if not assign_provider else provider,
node=node.key,
source_ref=source_ref,
),
value=buildNode(
provider=function_body if not assign_provider else provider,
node=node.value,
source_ref=source_ref,
),
source_ref=source_ref,
)
if current_body.isExpression():
current_body = StatementExpressionOnly(
expression=current_body, source_ref=source_ref
)
for count, qual in enumerate(reversed(node.generators)):
tmp_value_variable = function_body.allocateTempVariable(
temp_scope=temp_scope, name="iter_value_%d" % count
)
tmp_variables.append(tmp_value_variable)
# The first iterated value is to be calculated outside of the function
# and will be given as a parameter "_iterated", the others are built
# inside the function.
if qual is node.generators[0]:
iterator_ref = makeVariableRefNode(variable=iter_tmp, source_ref=source_ref)
if for_asyncgen and python_version >= 370:
iterator_ref = ExpressionYieldFromWaitable(
expression=iterator_ref, source_ref=source_ref
)
tmp_iter_variable = None
nested_statements = []
else:
# First create the iterator and store it, next should be loop body
value_iterator = _makeIteratorCreation(
provider=provider if assign_provider else function_body,
qual=qual,
for_asyncgen=False,
source_ref=source_ref,
)
tmp_iter_variable = function_body.allocateTempVariable(
temp_scope=temp_scope, name="contraction_iter_%d" % count
)
tmp_variables.append(tmp_iter_variable)
nested_statements = [
StatementAssignmentVariable(
variable=tmp_iter_variable,
source=value_iterator,
source_ref=source_ref,
)
]
iterator_ref = ExpressionTempVariableRef(
variable=tmp_iter_variable, source_ref=source_ref
)
loop_statements = [
makeTryExceptSingleHandlerNode(
tried=StatementAssignmentVariable(
variable=tmp_value_variable,
source=_makeIteratorNext(
iterator_ref=iterator_ref, qual=qual, source_ref=source_ref
),
source_ref=source_ref,
),
exception_name=_getStopIterationName(qual),
handler_body=StatementLoopBreak(source_ref=source_ref),
source_ref=source_ref,
),
buildAssignmentStatements(
provider=provider if assign_provider else function_body,
temp_provider=function_body,
node=qual.target,
source=ExpressionTempVariableRef(
variable=tmp_value_variable, source_ref=source_ref
),
source_ref=source_ref,
),
]
conditions = buildNodeList(
provider=provider if assign_provider else function_body,
nodes=qual.ifs,
source_ref=source_ref,
)
if len(conditions) >= 1:
loop_statements.append(
makeStatementConditional(
condition=buildAndNode(values=conditions, source_ref=source_ref),
yes_branch=current_body,
no_branch=None,
source_ref=source_ref,
)
)
else:
loop_statements.append(current_body)
nested_statements.append(
StatementLoop(
body=StatementsSequence(
statements=mergeStatements(loop_statements), source_ref=source_ref
),
source_ref=source_ref,
)
)
if tmp_iter_variable is not None:
nested_statements.append(
StatementReleaseVariable(
variable=tmp_iter_variable, source_ref=source_ref
)
)
current_body = StatementsSequence(
statements=mergeStatements(nested_statements, False), source_ref=source_ref
)
statements.append(current_body)
statements = mergeStatements(statements)
release_statements = [
StatementReleaseVariable(variable=tmp_variable, source_ref=source_ref)
for tmp_variable in tmp_variables
]
return statements, release_statements
def _buildContractionBodyNode(provider, node, emit_class, start_value,
container_tmp, iter_tmp, temp_scope,
assign_provider, function_body, source_ref):
# This uses lots of variables and branches. There is no good way
# around that, and we deal with many cases, due to having generator
# expressions sharing this code, pylint: disable=R0912,R0914
tmp_variables = []
if assign_provider:
tmp_variables.append(iter_tmp)
if container_tmp is not None:
tmp_variables.append(container_tmp)
# First assign the iterator if we are an outline.
if assign_provider:
statements = [
StatementAssignmentVariable(
variable_ref=makeVariableTargetRefNode(variable=iter_tmp,
source_ref=source_ref),
source=ExpressionBuiltinIter1(value=buildNode(
provider=provider,
node=node.generators[0].iter,
source_ref=source_ref),
source_ref=source_ref),
source_ref=source_ref.atInternal())
]
else:
statements = []
if start_value is not None:
statements.append(
StatementAssignmentVariable(
variable_ref=ExpressionTargetTempVariableRef(
variable=container_tmp, source_ref=source_ref),
source=start_value,
source_ref=source_ref.atInternal()))
if hasattr(node, "elt"):
if start_value is not None:
current_body = emit_class(ExpressionTempVariableRef(
variable=container_tmp, source_ref=source_ref),
buildNode(provider=function_body,
node=node.elt,
source_ref=source_ref),
source_ref=source_ref)
else:
assert emit_class is ExpressionYield
current_body = emit_class(buildNode(provider=function_body,
node=node.elt,
source_ref=source_ref),
source_ref=source_ref)
else:
assert emit_class is StatementDictOperationSet
current_body = StatementDictOperationSet(
dict_arg=ExpressionTempVariableRef(variable=container_tmp,
source_ref=source_ref),
key=buildNode(
provider=function_body,
node=node.key,
source_ref=source_ref,
),
value=buildNode(
provider=function_body,
node=node.value,
source_ref=source_ref,
),
source_ref=source_ref)
if current_body.isExpression():
current_body = StatementExpressionOnly(expression=current_body,
source_ref=source_ref)
for count, qual in enumerate(reversed(node.generators)):
tmp_value_variable = function_body.allocateTempVariable(
temp_scope=temp_scope, name="iter_value_%d" % count)
tmp_variables.append(tmp_value_variable)
# The first iterated value is to be calculated outside of the function
# and will be given as a parameter "_iterated", the others are built
# inside the function.
if qual is node.generators[0]:
iterator_ref = makeVariableRefNode(variable=iter_tmp,
source_ref=source_ref)
tmp_iter_variable = None
nested_statements = []
else:
# First create the iterator and store it, next should be loop body
value_iterator = ExpressionBuiltinIter1(value=buildNode(
provider=function_body, node=qual.iter, source_ref=source_ref),
source_ref=source_ref)
tmp_iter_variable = function_body.allocateTempVariable(
temp_scope=temp_scope, name="contraction_iter_%d" % count)
tmp_variables.append(tmp_iter_variable)
nested_statements = [
StatementAssignmentVariable(
variable_ref=ExpressionTargetTempVariableRef(
variable=tmp_iter_variable, source_ref=source_ref),
source=value_iterator,
source_ref=source_ref)
]
iterator_ref = ExpressionTempVariableRef(
variable=tmp_iter_variable, source_ref=source_ref)
loop_statements = [
makeTryExceptSingleHandlerNode(
tried=StatementAssignmentVariable(
variable_ref=ExpressionTargetTempVariableRef(
variable=tmp_value_variable, source_ref=source_ref),
source=ExpressionBuiltinNext1(value=iterator_ref,
source_ref=source_ref),
source_ref=source_ref),
exception_name="StopIteration",
handler_body=StatementLoopBreak(
source_ref=source_ref.atInternal()),
source_ref=source_ref),
buildAssignmentStatements(
provider=provider if assign_provider else function_body,
temp_provider=function_body,
node=qual.target,
source=ExpressionTempVariableRef(variable=tmp_value_variable,
source_ref=source_ref),
source_ref=source_ref)
]
conditions = buildNodeList(provider=function_body,
nodes=qual.ifs,
source_ref=source_ref)
if len(conditions) >= 1:
loop_statements.append(
StatementConditional(
condition=buildAndNode(values=conditions,
source_ref=source_ref),
yes_branch=makeStatementsSequenceFromStatement(
statement=current_body),
no_branch=None,
source_ref=source_ref))
else:
loop_statements.append(current_body)
nested_statements.append(
StatementLoop(body=StatementsSequence(
statements=mergeStatements(loop_statements),
source_ref=source_ref),
source_ref=source_ref))
if tmp_iter_variable is not None:
nested_statements.append(
StatementReleaseVariable(variable=tmp_iter_variable,
source_ref=source_ref))
current_body = StatementsSequence(statements=mergeStatements(
nested_statements, False),
source_ref=source_ref)
statements.append(current_body)
statements = mergeStatements(statements)
release_statements = [
StatementReleaseVariable(variable=tmp_variable, source_ref=source_ref)
for tmp_variable in tmp_variables
]
return statements, release_statements
def _buildContractionBodyNode(provider, node, emit_class, start_value,
container_tmp, iter_tmp, temp_scope,
assign_provider, function_body, source_ref):
# This uses lots of variables and branches. There is no good way
# around that, and we deal with many cases, due to having generator
# expressions sharing this code, pylint: disable=R0912,R0914
tmp_variables = []
if assign_provider:
tmp_variables.append(iter_tmp)
if container_tmp is not None:
tmp_variables.append(container_tmp)
# First assign the iterator if we are an outline.
if assign_provider:
statements = [
StatementAssignmentVariable(
variable_ref = makeVariableTargetRefNode(
variable = iter_tmp,
source_ref = source_ref
),
source = ExpressionBuiltinIter1(
value = buildNode(
provider = provider,
node = node.generators[0].iter,
source_ref = source_ref
),
source_ref = source_ref
),
source_ref = source_ref.atInternal()
)
]
else:
statements = []
if start_value is not None:
statements.append(
StatementAssignmentVariable(
variable_ref = ExpressionTargetTempVariableRef(
variable = container_tmp,
source_ref = source_ref
),
source = start_value,
source_ref = source_ref.atInternal()
)
)
if hasattr(node, "elt"):
if start_value is not None:
current_body = emit_class(
ExpressionTempVariableRef(
variable = container_tmp,
source_ref = source_ref
),
buildNode(
provider = function_body,
node = node.elt,
source_ref = source_ref
),
source_ref = source_ref
)
else:
assert emit_class is ExpressionYield
current_body = emit_class(
buildNode(
provider = function_body,
node = node.elt,
source_ref = source_ref
),
source_ref = source_ref
)
else:
assert emit_class is StatementDictOperationSet
current_body = StatementDictOperationSet(
dict_arg = ExpressionTempVariableRef(
variable = container_tmp,
source_ref = source_ref
),
key = buildNode(
provider = function_body,
node = node.key,
source_ref = source_ref,
),
value = buildNode(
provider = function_body,
node = node.value,
source_ref = source_ref,
),
source_ref = source_ref
)
if current_body.isExpression():
current_body = StatementExpressionOnly(
expression = current_body,
source_ref = source_ref
)
for count, qual in enumerate(reversed(node.generators)):
tmp_value_variable = function_body.allocateTempVariable(
temp_scope = temp_scope,
name = "iter_value_%d" % count
)
tmp_variables.append(tmp_value_variable)
# The first iterated value is to be calculated outside of the function
# and will be given as a parameter "_iterated", the others are built
# inside the function.
if qual is node.generators[0]:
iterator_ref = makeVariableRefNode(
variable = iter_tmp,
source_ref = source_ref
)
tmp_iter_variable = None
nested_statements = []
else:
# First create the iterator and store it, next should be loop body
value_iterator = ExpressionBuiltinIter1(
value = buildNode(
provider = function_body,
node = qual.iter,
source_ref = source_ref
),
source_ref = source_ref
)
tmp_iter_variable = function_body.allocateTempVariable(
temp_scope = temp_scope,
name = "contraction_iter_%d" % count
)
tmp_variables.append(tmp_iter_variable)
nested_statements = [
StatementAssignmentVariable(
variable_ref = ExpressionTargetTempVariableRef(
variable = tmp_iter_variable,
source_ref = source_ref
),
source = value_iterator,
source_ref = source_ref
)
]
iterator_ref = ExpressionTempVariableRef(
variable = tmp_iter_variable,
source_ref = source_ref
)
loop_statements = [
makeTryExceptSingleHandlerNode(
tried = StatementAssignmentVariable(
variable_ref = ExpressionTargetTempVariableRef(
variable = tmp_value_variable,
source_ref = source_ref
),
source = ExpressionBuiltinNext1(
value = iterator_ref,
source_ref = source_ref
),
source_ref = source_ref
),
exception_name = "StopIteration",
handler_body = StatementLoopBreak(
source_ref = source_ref.atInternal()
),
source_ref = source_ref
),
buildAssignmentStatements(
provider = provider if assign_provider else function_body,
temp_provider = function_body,
node = qual.target,
source = ExpressionTempVariableRef(
variable = tmp_value_variable,
source_ref = source_ref
),
source_ref = source_ref
)
]
conditions = buildNodeList(
provider = function_body,
nodes = qual.ifs,
source_ref = source_ref
)
if len(conditions) >= 1:
loop_statements.append(
StatementConditional(
condition = buildAndNode(
values = conditions,
source_ref = source_ref
),
yes_branch = makeStatementsSequenceFromStatement(
statement = current_body
),
no_branch = None,
source_ref = source_ref
)
)
else:
loop_statements.append(current_body)
nested_statements.append(
StatementLoop(
body = StatementsSequence(
statements = mergeStatements(loop_statements),
source_ref = source_ref
),
source_ref = source_ref
)
)
if tmp_iter_variable is not None:
nested_statements.append(
StatementReleaseVariable(
variable = tmp_iter_variable,
source_ref = source_ref
)
)
current_body = StatementsSequence(
statements = mergeStatements(nested_statements, False),
source_ref = source_ref
)
statements.append(current_body)
statements = mergeStatements(statements)
if emit_class is ExpressionYield:
statements.insert(
0,
StatementGeneratorEntry(
source_ref = source_ref
)
)
release_statements = [
StatementReleaseVariable(
variable = tmp_variable,
source_ref = source_ref
)
for tmp_variable in
tmp_variables
]
return statements, release_statements
def _buildContractionBodyNode(
provider,
node,
emit_class,
start_value,
container_tmp,
iter_tmp,
temp_scope,
assign_provider,
function_body,
for_asyncgen,
source_ref,
):
# This uses lots of variables and branches. There is no good way
# around that, and we deal with many cases, due to having generator
# expressions sharing this code, pylint: disable=too-many-branches,too-many-locals,too-many-statements
# Note: The assign_provider is only to cover Python2 list contractions,
# assigning one of the loop variables to the outside scope.
tmp_variables = []
if emit_class is not ExpressionYield:
tmp_variables.append(iter_tmp)
if container_tmp is not None:
tmp_variables.append(container_tmp)
statements = []
# First assign the iterator if we are an outline.
if assign_provider:
statements.append(
StatementAssignmentVariable(
variable=iter_tmp,
source=_makeIteratorCreation(
provider=provider,
qual=node.generators[0],
for_asyncgen=False,
source_ref=source_ref,
),
source_ref=source_ref.atInternal(),
)
)
if for_asyncgen and python_version >= 370 and node.generators[0].is_async:
statements.append(
StatementAssignmentVariable(
variable=iter_tmp,
source=ExpressionTempVariableRef(
variable=iter_tmp, source_ref=source_ref
),
source_ref=source_ref,
)
)
if start_value is not None:
statements.append(
StatementAssignmentVariable(
variable=container_tmp,
source=makeConstantRefNode(constant=start_value, source_ref=source_ref),
source_ref=source_ref.atInternal(),
)
)
if hasattr(node, "elt"):
if start_value is not None:
current_body = emit_class(
ExpressionTempVariableRef(
variable=container_tmp, source_ref=source_ref
),
buildNode(
provider=function_body if not assign_provider else provider,
node=node.elt,
source_ref=source_ref,
),
source_ref=source_ref,
)
else:
assert emit_class is ExpressionYield
current_body = emit_class(
buildNode(provider=function_body, node=node.elt, source_ref=source_ref),
source_ref=source_ref,
)
else:
assert emit_class is StatementDictOperationSet
current_body = StatementDictOperationSet(
dict_arg=ExpressionTempVariableRef(
variable=container_tmp, source_ref=source_ref
),
key=buildNode(
provider=function_body if not assign_provider else provider,
node=node.key,
source_ref=source_ref,
),
value=buildNode(
provider=function_body if not assign_provider else provider,
node=node.value,
source_ref=source_ref,
),
source_ref=source_ref,
)
if current_body.isExpression():
current_body = StatementExpressionOnly(
expression=current_body, source_ref=source_ref
)
for count, qual in enumerate(reversed(node.generators)):
tmp_value_variable = function_body.allocateTempVariable(
temp_scope=temp_scope, name="iter_value_%d" % count
)
tmp_variables.append(tmp_value_variable)
# The first iterated value is to be calculated outside of the function
# and will be given as a parameter "_iterated", the others are built
# inside the function.
if qual is node.generators[0]:
iterator_ref = makeVariableRefNode(variable=iter_tmp, source_ref=source_ref)
if for_asyncgen and python_version >= 370:
iterator_ref = ExpressionYieldFromWaitable(
expression=iterator_ref, source_ref=source_ref
)
tmp_iter_variable = None
nested_statements = []
else:
# First create the iterator and store it, next should be loop body
value_iterator = _makeIteratorCreation(
provider=provider if assign_provider else function_body,
qual=qual,
for_asyncgen=False,
source_ref=source_ref,
)
tmp_iter_variable = function_body.allocateTempVariable(
temp_scope=temp_scope, name="contraction_iter_%d" % count
)
tmp_variables.append(tmp_iter_variable)
nested_statements = [
StatementAssignmentVariable(
variable=tmp_iter_variable,
source=value_iterator,
source_ref=source_ref,
)
]
iterator_ref = ExpressionTempVariableRef(
variable=tmp_iter_variable, source_ref=source_ref
)
loop_statements = [
makeTryExceptSingleHandlerNode(
tried=StatementAssignmentVariable(
variable=tmp_value_variable,
source=_makeIteratorNext(
iterator_ref=iterator_ref, qual=qual, source_ref=source_ref
),
source_ref=source_ref,
),
exception_name=_getStopIterationName(qual),
handler_body=StatementLoopBreak(source_ref=source_ref),
source_ref=source_ref,
),
buildAssignmentStatements(
provider=provider if assign_provider else function_body,
temp_provider=function_body,
node=qual.target,
source=ExpressionTempVariableRef(
variable=tmp_value_variable, source_ref=source_ref
),
source_ref=source_ref,
),
]
conditions = buildNodeList(
provider=provider if assign_provider else function_body,
nodes=qual.ifs,
source_ref=source_ref,
)
if len(conditions) >= 1:
loop_statements.append(
makeStatementConditional(
condition=buildAndNode(values=conditions, source_ref=source_ref),
yes_branch=current_body,
no_branch=None,
source_ref=source_ref,
)
)
else:
loop_statements.append(current_body)
nested_statements.append(
StatementLoop(
body=StatementsSequence(
statements=mergeStatements(loop_statements), source_ref=source_ref
),
source_ref=source_ref,
)
)
if tmp_iter_variable is not None:
nested_statements.append(
StatementReleaseVariable(
variable=tmp_iter_variable, source_ref=source_ref
)
)
current_body = StatementsSequence(
statements=mergeStatements(nested_statements, False), source_ref=source_ref
)
statements.append(current_body)
statements = mergeStatements(statements)
release_statements = [
StatementReleaseVariable(variable=tmp_variable, source_ref=source_ref)
for tmp_variable in tmp_variables
]
return statements, release_statements