// Set the current namespace
current_namespace = (struct namespace *)vtable_toplevel_namespace;
}}}END_EMBEDDED_C
EMBEDDED_C{{{
return 0;
}
}}}END_EMBEDDED_C
"""
params = globals()
for key in locals().keys():
params[key] = locals()[key]
grammar = OMeta.makeGrammar(strip_comments(grammar_def), params)
if __name__ == '__main__':
if len(sys.argv) < 2:
print "Usage: iddish_compiler.py input.id [output.c]"
sys.exit()
in_name = sys.argv[1]
if len(sys.argv) > 2:
out_name = sys.argv[2]
else:
out_name = in_name.rsplit('.', 1)[0]+'.c'
in_file = open(in_name, 'r')
in_lines = ''.join([l for l in in_file.readlines()])
in_file.close()
# If we've reached a '}meta' then stop matching, otherwise keep going
annotation_contents ::= <token '}meta'> => ''
| <anything> <annotation_contents> => ''
# A statement is a series of annotations or anything else
statement ::= <annotation>+ => ''
| <anything>+:a => ''.join(a)
# A program is a series of statements
program ::= <statement>+:a => ''.join(a)
"""
# Now we embed the transformations in every AST node, so that they can
# apply them recursively to their children
finder = OMeta.makeGrammar(strip_comments(annotation_finder), globals())
def strip_annotations(path_or_text):
"""This performs the translation from annotated Python to normal
Python. It takes in annotated Python code (assuming the string to be
a file path, falling back to treating it as raw code if it is not a
valid path) and emits Python code."""
# See if the given string is a valid path
if os.path.exists(path_or_text):
# If so then open it and read the file contents into in_text
infile = open(path_or_text, 'r')
in_text = '\n'.join([line for line in infile.readlines()])
infile.close()
# Otherwise take the string contents to be in_text
else:
# If we've reached a '}meta' then stop matching, otherwise keep going
annotation_contents ::= <token '}meta'> => ''
| <anything> <annotation_contents> => ''
# A statement is a series of annotations or anything else
statement ::= <annotation>+ => ''
| <anything>+:a => ''.join(a)
# A program is a series of statements
program ::= <statement>+:a => ''.join(a)
"""
# Now we embed the transformations in every AST node, so that they can
# apply them recursively to their children
finder = OMeta.makeGrammar(strip_comments(annotation_finder), globals())
def strip_annotations(path_or_text):
"""This performs the translation from annotated Python to normal
Python. It takes in annotated Python code (assuming the string to be
a file path, falling back to treating it as raw code if it is not a
valid path) and emits Python code."""
# See if the given string is a valid path
if os.path.exists(path_or_text):
# If so then open it and read the file contents into in_text
infile = open(path_or_text, 'r')
in_text = '\n'.join([line for line in infile.readlines()])
infile.close()
# Otherwise take the string contents to be in_text
else:
in_text = path_or_text