#!/usr/bin/env python3
# ex: set filetype=python:
"" "Generate code to handle XDR struct types" ""
from jinja2 import Environment
from generators import SourceGenerator, kernel_c_type
from generators import create_jinja2_environment, get_jinja2_template
from xdr_ast import _XdrBasic, _XdrString
from xdr_ast import _XdrFixedLengthOpaque, _XdrVariableLengthOpaque
from xdr_ast import _XdrFixedLengthArray, _XdrVariableLengthArray
from xdr_ast import _XdrOptionalData, _XdrStruct, _XdrDeclaration
from xdr_ast import public_apis, get_header_name
def emit_struct_declaration(environment: Environment, node: _XdrStruct) -> None :
"" "Emit one declaration pair for an XDR struct type" ""
if node.name in public_apis:
template = get_jinja2_template(environment, "declaration" , "close" )
print(template.render(name=node.name))
def emit_struct_member_definition(
environment: Environment, field: _XdrDeclaration
) -> None :
"" "Emit a definition for one field in an XDR struct" ""
if isinstance(field, _XdrBasic):
template = get_jinja2_template(environment, "definition" , field.template)
print(
template.render(
name=field.name,
type=kernel_c_type(field.spec),
classifier=field.spec.c_classifier,
)
)
elif isinstance(field, _XdrFixedLengthOpaque):
template = get_jinja2_template(environment, "definition" , field.template)
print(
template.render(
name=field.name,
size=field.size,
)
)
elif isinstance(field, _XdrVariableLengthOpaque):
template = get_jinja2_template(environment, "definition" , field.template)
print(template.render(name=field.name))
elif isinstance(field, _XdrString):
template = get_jinja2_template(environment, "definition" , field.template)
print(template.render(name=field.name))
elif isinstance(field, _XdrFixedLengthArray):
template = get_jinja2_template(environment, "definition" , field.template)
print(
template.render(
name=field.name,
type=kernel_c_type(field.spec),
size=field.size,
)
)
elif isinstance(field, _XdrVariableLengthArray):
template = get_jinja2_template(environment, "definition" , field.template)
print(
template.render(
name=field.name,
type=kernel_c_type(field.spec),
classifier=field.spec.c_classifier,
)
)
elif isinstance(field, _XdrOptionalData):
template = get_jinja2_template(environment, "definition" , field.template)
print(
template.render(
name=field.name,
type=kernel_c_type(field.spec),
classifier=field.spec.c_classifier,
)
)
def emit_struct_definition(environment: Environment, node: _XdrStruct) -> None :
"" "Emit one definition for an XDR struct type" ""
template = get_jinja2_template(environment, "definition" , "open" )
print(template.render(name=node.name))
for field in node.fields:
emit_struct_member_definition(environment, field)
template = get_jinja2_template(environment, "definition" , "close" )
print(template.render(name=node.name))
def emit_struct_member_decoder(
environment: Environment, field: _XdrDeclaration
) -> None :
"" "Emit a decoder for one field in an XDR struct" ""
if isinstance(field, _XdrBasic):
template = get_jinja2_template(environment, "decoder" , field.template)
print(
template.render(
name=field.name,
type=field.spec.type_name,
classifier=field.spec.c_classifier,
)
)
elif isinstance(field, _XdrFixedLengthOpaque):
template = get_jinja2_template(environment, "decoder" , field.template)
print(
template.render(
name=field.name,
size=field.size,
)
)
elif isinstance(field, _XdrVariableLengthOpaque):
template = get_jinja2_template(environment, "decoder" , field.template)
print(
template.render(
name=field.name,
maxsize=field.maxsize,
)
)
elif isinstance(field, _XdrString):
template = get_jinja2_template(environment, "decoder" , field.template)
print(
template.render(
name=field.name,
maxsize=field.maxsize,
)
)
elif isinstance(field, _XdrFixedLengthArray):
template = get_jinja2_template(environment, "decoder" , field.template)
print(
template.render(
name=field.name,
type=field.spec.type_name,
size=field.size,
classifier=field.spec.c_classifier,
)
)
elif isinstance(field, _XdrVariableLengthArray):
template = get_jinja2_template(environment, "decoder" , field.template)
print(
template.render(
name=field.name,
type=field.spec.type_name,
maxsize=field.maxsize,
classifier=field.spec.c_classifier,
)
)
elif isinstance(field, _XdrOptionalData):
template = get_jinja2_template(environment, "decoder" , field.template)
print(
template.render(
name=field.name,
type=field.spec.type_name,
classifier=field.spec.c_classifier,
)
)
def emit_struct_decoder(environment: Environment, node: _XdrStruct) -> None :
"" "Emit one decoder function for an XDR struct type" ""
template = get_jinja2_template(environment, "decoder" , "open" )
print(template.render(name=node.name))
for field in node.fields:
emit_struct_member_decoder(environment, field)
template = get_jinja2_template(environment, "decoder" , "close" )
print(template.render())
def emit_struct_member_encoder(
environment: Environment, field: _XdrDeclaration
) -> None :
"" "Emit an encoder for one field in an XDR struct" ""
if isinstance(field, _XdrBasic):
template = get_jinja2_template(environment, "encoder" , field.template)
print(
template.render(
name=field.name,
type=field.spec.type_name,
)
)
elif isinstance(field, _XdrFixedLengthOpaque):
template = get_jinja2_template(environment, "encoder" , field.template)
print(
template.render(
name=field.name,
size=field.size,
)
)
elif isinstance(field, _XdrVariableLengthOpaque):
template = get_jinja2_template(environment, "encoder" , field.template)
print(
template.render(
name=field.name,
maxsize=field.maxsize,
)
)
elif isinstance(field, _XdrString):
template = get_jinja2_template(environment, "encoder" , field.template)
print(
template.render(
name=field.name,
maxsize=field.maxsize,
)
)
elif isinstance(field, _XdrFixedLengthArray):
template = get_jinja2_template(environment, "encoder" , field.template)
print(
template.render(
name=field.name,
type=field.spec.type_name,
size=field.size,
)
)
elif isinstance(field, _XdrVariableLengthArray):
template = get_jinja2_template(environment, "encoder" , field.template)
print(
template.render(
name=field.name,
type=field.spec.type_name,
maxsize=field.maxsize,
)
)
elif isinstance(field, _XdrOptionalData):
template = get_jinja2_template(environment, "encoder" , field.template)
print(
template.render(
name=field.name,
type=field.spec.type_name,
classifier=field.spec.c_classifier,
)
)
def emit_struct_encoder(environment: Environment, node: _XdrStruct) -> None :
"" "Emit one encoder function for an XDR struct type" ""
template = get_jinja2_template(environment, "encoder" , "open" )
print(template.render(name=node.name))
for field in node.fields:
emit_struct_member_encoder(environment, field)
template = get_jinja2_template(environment, "encoder" , "close" )
print(template.render())
def emit_struct_maxsize(environment: Environment, node: _XdrStruct) -> None :
"" "Emit one maxsize macro for an XDR struct type" ""
macro_name = get_header_name().upper() + "_" + node.name + "_sz"
template = get_jinja2_template(environment, "maxsize" , "struct" )
print(
template.render(
macro=macro_name,
width=" + " .join(node.symbolic_width()),
)
)
class XdrStructGenerator(SourceGenerator):
"" "Generate source code for XDR structs" ""
def __init__(self, language: str, peer: str):
"" "Initialize an instance of this class" ""
self.environment = create_jinja2_environment(language, "struct" )
self.peer = peer
def emit_declaration(self, node: _XdrStruct) -> None :
"" "Emit one declaration pair for an XDR struct type" ""
emit_struct_declaration(self.environment, node)
def emit_definition(self, node: _XdrStruct) -> None :
"" "Emit one definition for an XDR struct type" ""
emit_struct_definition(self.environment, node)
def emit_decoder(self, node: _XdrStruct) -> None :
"" "Emit one decoder function for an XDR struct type" ""
emit_struct_decoder(self.environment, node)
def emit_encoder(self, node: _XdrStruct) -> None :
"" "Emit one encoder function for an XDR struct type" ""
emit_struct_encoder(self.environment, node)
def emit_maxsize(self, node: _XdrStruct) -> None :
"" "Emit one maxsize macro for an XDR struct type" ""
emit_struct_maxsize(self.environment, node)
Messung V0.5 C=96 H=99 G=97
¤ Dauer der Verarbeitung: 0.16 Sekunden
(vorverarbeitet)
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