def _convert_call(self, node, matched_api_name):
""""Convert the call node."""
new_node = None
code = pasta.dump(node)
api_name = pasta.dump(node.func)
warning_info = get_prompt_info(matched_api_name)
if warning_info is None:
warning_info = ''
if matched_api_name in ALL_MAPPING:
logger.info("Line %3d start converting API: %s", node.lineno,
api_name)
new_code = self.mapping_api(node)
if new_code != code:
try:
new_node = pasta.parse(new_code).body[0].value
# find the first call name
new_api_name = new_code[:new_code.find('(')]
detail_msg = self._get_detail_prompt_msg(node, new_node)
if detail_msg:
warning_info = detail_msg + ' ' + warning_info
except AttributeError:
new_node = pasta.parse(new_code).body[0]
new_api_name = new_code
self._process_log.info(
node.lineno, node.col_offset, LOG_FMT_CONVERT_WITH_TIPS %
(api_name, new_api_name, warning_info))
else:
logger.warning("Line %3d: found unsupported API: %s%s",
node.lineno, api_name, warning_info)
self._process_log.warning(
node.lineno, node.col_offset,
LOG_FMT_NOT_CONVERT % (api_name, warning_info))
return new_node
def test_mixed_tabs_spaces_indentation(self):
pasta.parse(
textwrap.dedent('''\
if a:
b
{ONETAB}c
''').format(ONETAB='\t'))
def test_mixed_tabs_spaces_indentation(self):
pasta.parse(
textwrap.dedent("""\
if a:
b
{ONETAB}c
""").format(ONETAB='\t'), py_ver)
def convert_dynamic_loss_scale(node):
"""Convert dynamic loss scale related Tensorflow APIs"""
log_msg(
getattr(node, 'lineno', 'None'),
"change tf.train.experimental.DynamicLossScale"
" to ExponentialUpdateLossScaleManager")
node.func = ast.Name(id="ExponentialUpdateLossScaleManager",
ctx=ast.Load())
def check_arg(node):
initial_loss_scale = None
increment_period = None
multiplier = None
for index, arg in enumerate(node.args):
if index == 0:
initial_loss_scale = arg
if index == 1:
increment_period = arg
if index == 2:
multiplier = arg
for keyword in node.keywords:
if keyword.arg == "initial_loss_scale":
keyword.arg = "init_loss_scale"
initial_loss_scale = keyword
if keyword.arg == "increment_period":
keyword.arg = "incr_every_n_steps"
increment_period = keyword
if keyword.arg == "multiplier":
keyword.arg = "incr_ratio"
multiplier = keyword
return (initial_loss_scale, increment_period, multiplier)
(initial_loss_scale, increment_period, multiplier) = check_arg(node)
if initial_loss_scale:
if not isinstance(initial_loss_scale, ast.keyword):
node.keywords.append(
ast.keyword(arg="init_loss_scale", value=initial_loss_scale))
else:
node.keywords.append(
ast.keyword(arg="init_loss_scale", value=pasta.parse("2**15")))
if increment_period:
if not isinstance(increment_period, ast.keyword):
node.keywords.append(
ast.keyword(arg="incr_every_n_steps", value=increment_period))
else:
node.keywords.append(
ast.keyword(arg="incr_every_n_steps", value=pasta.parse("2000")))
if multiplier:
if not isinstance(multiplier, ast.keyword):
node.keywords.append(
ast.keyword(arg="incr_ratio", value=multiplier))
else:
node.keywords.append(
ast.keyword(arg="incr_ratio", value=pasta.parse("2")))
node.args = []
util_global.set_value('need_conver', True)
return node
def testReplaceChildInvalid(self):
src = 'def foo():\n return 1\nx = 1\n'
replace_with = pasta.parse('bar()', py_ver).body[0]
t = pasta.parse(src, py_ver)
parent = t.body[0]
node_to_replace = t.body[1]
with self.assertRaises(errors.InvalidAstError):
ast_utils.replace_child(parent, node_to_replace, replace_with)
def testReplaceChildInBody(self):
src = 'def foo():\n a = 0\n a += 1 # replace this\n return a\n'
replace_with = pasta.parse('foo(a + 1) # trailing comment\n').body[0]
expected = 'def foo():\n a = 0\n foo(a + 1) # replace this\n return a\n'
t = pasta.parse(src)
parent = t.body[0]
node_to_replace = parent.body[1]
ast_utils.replace_child(parent, node_to_replace, replace_with)
self.assertEqual(expected, pasta.dump(t))
def test_default_indentation(self):
for indent in (' ', ' ', '\t'):
src ='def a():\n' + indent + 'b\n'
t = pasta.parse(src)
t.body.extend(ast.parse('def c(): d').body)
self.assertEqual(codegen.to_str(t),
src + 'def c():\n' + indent + 'd\n')
def execute_rename(file_path, moved_imports):
if six.PY2:
import imp
import_from_user = imp.load_source('moved_imports', moved_imports)
else:
import importlib.util
spec = importlib.util.spec_from_file_location("moved_imports",
moved_imports)
import_from_user = importlib.util.module_from_spec(spec)
spec.loader.exec_module(import_from_user)
with open(file_path, mode='r') as file:
tree = pasta.parse(file.read())
for class_to_move in import_from_user.imports_to_move:
old_path = class_to_move[0]
new_path = class_to_move[1]
try:
rename.rename_external(tree, old_path, new_path)
except ValueError:
click.ClickException(
"Some error happened on the following path: {0}.\n "
"While trying to rename from: {1} to {2}".format(
file_path, old_path, new_path))
source_code = pasta.dump(tree)
with open(file_path, mode='w') as file:
file.write(source_code)
def test_call_no_pos(self):
"""Tests that Call node traversal works without position information."""
src = 'f(a)'
t = pasta.parse(src)
node = ast_utils.find_nodes_by_type(t, (ast.Call, ))[0]
node.keywords.append(ast.keyword(arg='b', value=ast.Num(n=0)))
self.assertEqual('f(a, b=0)', pasta.dump(t))
def convert_loss_scale_api(node):
"""Convert loss scale related Tensorflow APIs"""
if isinstance(node.func, ast.Attribute):
if node.func.attr == "FixedLossScale":
log_msg(
getattr(node, 'lineno', 'None'),
"change tf.train.experimental.FixedLossScale"
" to FixedLossScaleManager")
node.func = ast.Name(id="FixedLossScaleManager", ctx=ast.Load())
if len(node.keywords) == 1:
node.keywords[0].arg = "loss_scale"
util_global.set_value('need_conver', True)
return node
if node.func.attr == "DynamicLossScale":
return convert_dynamic_loss_scale(node)
if node.func.attr == "MixedPrecisionLossScaleOptimizer":
log_msg(
getattr(node, 'lineno', 'None'),
"change tf.train.experimental.MixedPrecisionLossScaleOptimizer"
" to NPULossScaleOptimizer")
node.func = ast.Name(id="NPULossScaleOptimizer", ctx=ast.Load())
for keyword in node.keywords:
if keyword.arg == "loss_scale":
keyword.arg = "loss_scale_manager"
if (len(util_global.get_value("distributed_mode", "")) != 0):
node.keywords.append(
ast.keyword(arg="is_distributed",
value=pasta.parse("True")))
util_global.set_value('need_conver', True)
return node
def test_fstring_escaping(self):
src = 'f"a {{{b} {{c}}"'
t = pasta.parse(src)
node = t.body[0].value
self.assertEqual(
fmt.get(node, 'content'),
'f"a {{{__pasta_fstring_val_0__} {{c}}"')
def test_fstring(self):
src = 'f"a {b} c d {e}"'
t = pasta.parse(src, py_ver)
node = t.body[0].value
self.assertEqual(
fmt.get(node, 'content'),
'f"a {__pasta_fstring_val_0__} c d {__pasta_fstring_val_1__}"')
def main(coverage_file):
data = coverage.CoverageData()
data.read_file(coverage_file)
for filename in data._lines:
lines = data.lines(filename)
assert lines is not None
if not os.path.exists(filename):
# It could be unlinked before
continue
if not lines:
print(filename, 'not covered, removing')
os.unlink(filename)
continue
with open(filename) as fp:
tree = pasta.parse(fp.read())
new_tree = rewrite(tree, lines)
try:
to_write = pasta.dump(new_tree)
except pasta.base.codegen.PrintError:
print("Error with file", filename)
continue
with open(filename, 'w') as fp:
fp.write(to_write)
def rename_file(file_path, path_to_moved_imports_file):
"""
Iterates over the content of a file, looking for imports to be changed
:param str file_path:
Path of the file being parsed.
:param str path_to_moved_imports_file:
Path of the file with the list of changed imports.
"""
list_with_moved_imports = _get_list_of_moved_imports(
path_to_moved_imports_file)
with open(file_path, mode='r') as file:
tree = pasta.parse(file.read())
for old_path, new_path in list_with_moved_imports:
try:
rename.rename_external(tree, old_path, new_path)
except ValueError:
raise click.ClickException(
"An error has occurred on the following path: {0} ,\n "
"while trying to rename from: {1} to {2}".format(
file_path, old_path, new_path))
source_code = pasta.dump(tree)
with open(file_path, mode='w') as file:
file.write(source_code)
def update_string_pasta(self, text, in_filename):
"""Updates a file using pasta."""
try:
t = pasta.parse(text)
except (SyntaxError, ValueError, TypeError):
log = ["ERROR: Failed to parse.\n" + traceback.format_exc()]
return 0, "", log, []
preprocess_logs, preprocess_errors = self._api_change_spec.preprocess(
t)
visitor = _PastaEditVisitor(self._api_change_spec)
visitor.visit(t)
self._api_change_spec.clear_preprocessing()
logs = [
self.format_log(log, None)
for log in (preprocess_logs + visitor.log)
]
errors = [
self.format_log(error, in_filename)
for error in (preprocess_errors + visitor.warnings_and_errors)
]
return 1, pasta.dump(t), logs, errors
def test_indent_levels(self):
src = textwrap.dedent('''\
foo('begin')
if a:
foo('a1')
if b:
foo('b1')
if c:
foo('c1')
foo('b2')
foo('a2')
foo('end')
''')
t = pasta.parse(src)
call_nodes = ast_utils.find_nodes_by_type(t, (ast.Call, ))
call_nodes.sort(key=lambda node: node.lineno)
begin, a1, b1, c1, b2, a2, end = call_nodes
self.assertEqual('', fmt.get(begin, 'indent'))
self.assertEqual(' ', fmt.get(a1, 'indent'))
self.assertEqual(' ', fmt.get(b1, 'indent'))
self.assertEqual(' ', fmt.get(c1, 'indent'))
self.assertEqual(' ', fmt.get(b2, 'indent'))
self.assertEqual(' ', fmt.get(a2, 'indent'))
self.assertEqual('', fmt.get(end, 'indent'))
def test_indent_levels_same_line(self):
src = 'if a: b; c\n'
t = pasta.parse(src)
if_node = t.body[0]
b, c = if_node.body
self.assertIsNone(fmt.get(b, 'indent_diff'))
self.assertIsNone(fmt.get(c, 'indent_diff'))
def _update_base_name(self, class_def_scope):
"""
Update base name of class.
Args:
class_def_scope (ast.ClassDef): Class definition node.
"""
base_name_mapping = APIAnalysisSpec.base_name_mapping
class_def_node = class_def_scope.node
base_class_nodes = class_def_scope.node.bases
# update base class name
for base_class_node in base_class_nodes:
base_name = base_class_node.attr
if base_name in APIAnalysisSpec.get_network_base_class_names():
old_code = pasta.dump(base_class_node)
if base_name in base_name_mapping:
new_code = 'nn.' + base_name_mapping[base_class_node.attr]
new_node = pasta.parse(new_code)
pasta.ast_utils.replace_child(class_def_node,
base_class_node, new_node)
self._process_log.info(
base_class_node.lineno, base_class_node.col_offset,
LOG_FMT_CONVERT % (old_code, new_code))
else:
self._process_log.info(
base_class_node.lineno, base_class_node.col_offset,
LOG_FMT_NOT_CONVERT % (old_code, ''))
def _read_input_file(self):
"""Reads input file and parses it as an abstract syntax tree (AST).
Returns:
ast.Module: AST representation of the input file.
"""
with open(self.input_path) as input_file:
return pasta.parse(input_file.read())
def test_args(self):
src = """
def func():
offset_multi = lambda *a: foo(*a)
add_multi = lambda *a, **k: bar(*a, **k)"""
t = pasta.parse(src, py_ver)
print(pasta.dump(t, py_ver))
self.assertEqual(src, pasta.dump(t, py_ver))
def testRemoveAlias(self):
src = "from a import b, c"
tree = pasta.parse(src)
import_node = tree.body[0]
alias1 = import_node.names[0]
ast_utils.remove_child(import_node, alias1)
self.assertEqual(pasta.dump(tree), "from a import c")
def test_scope_trailing_comma(self):
template = 'def foo(a, b{trailing_comma}): pass'
for trailing_comma in ('', ',', ' , '):
tree = pasta.parse(template.format(trailing_comma=trailing_comma))
self.assertEqual(trailing_comma.lstrip(' ') + ')',
fmt.get(tree.body[0], 'args_suffix'))
template = 'class Foo(a, b{trailing_comma}): pass'
for trailing_comma in ('', ',', ' , '):
tree = pasta.parse(template.format(trailing_comma=trailing_comma))
self.assertEqual(trailing_comma.lstrip(' ') + ')',
fmt.get(tree.body[0], 'bases_suffix'))
template = 'from mod import (a, b{trailing_comma})'
for trailing_comma in ('', ',', ' , '):
tree = pasta.parse(template.format(trailing_comma=trailing_comma))
self.assertEqual(trailing_comma + ')',
fmt.get(tree.body[0], 'names_suffix'))
def test_tabs_below_spaces_and_tab(self):
for num_spaces in range(1, 8):
t = pasta.parse(textwrap.dedent('''\
if a:
{WS}{ONETAB}if b:
{ONETAB}{ONETAB}c
''').format(ONETAB='\t', WS=' ' * num_spaces))
node_c = t.body[0].body[0].body[0]
self.assertEqual(fmt.get(node_c, 'indent_diff'), '\t')
def test_indent_extra_newlines(self):
src = textwrap.dedent("""\
if a:
b
""")
t = pasta.parse(src, py_ver)
if_node = t.body[0]
b = if_node.body[0]
self.assertEqual(' ', fmt.get(b, 'indent_diff'))
def test_tab_below_spaces(self):
for num_spaces in range(1, 8):
t = pasta.parse(
textwrap.dedent("""\
if a:
{WS}if b:
{ONETAB}c
""").format(ONETAB='\t', WS=' ' * num_spaces), py_ver)
node_c = t.body[0].body[0].body[0]
self.assertEqual(fmt.get(node_c, 'indent_diff'),
' ' * (8 - num_spaces))
def test_indent_extra_newlines_with_comment(self):
src = textwrap.dedent('''\
if a:
#not here
b
''')
t = pasta.parse(src)
if_node = t.body[0]
b = if_node.body[0]
self.assertEqual(' ', fmt.get(b, 'indent_diff'))
def test_indent_multiline_string_with_newline(self):
src = textwrap.dedent('''\
class A:
"""Doc\n
string."""
pass
''')
t = pasta.parse(src, py_ver)
docstring, pass_stmt = t.body[0].body
self.assertEqual(' ', fmt.get(docstring, 'indent'))
self.assertEqual(' ', fmt.get(pass_stmt, 'indent'))
def test_call_illegal_pos(self):
"""Tests that Call node traversal works even with illegal positions."""
src = 'f(a)'
t = pasta.parse(src)
node = ast_utils.find_nodes_by_type(t, (ast.Call, ))[0]
node.keywords.append(ast.keyword(arg='b', value=ast.Num(n=0)))
# This position would put b=0 before a, so it should be ignored.
node.keywords[-1].value.lineno = 0
node.keywords[-1].value.col_offset = 0
self.assertEqual('f(a, b=0)', pasta.dump(t))
def conver_ast(path, out_path_dst, file_name):
util_global.set_value('need_conver', False)
util_global.set_value('is_keras_net', False)
util_global.set_value('has_hccl_api', False)
util_global.set_value('is_main_file', False)
util_global.set_value('has_main_func', False)
if os.path.join(path, file_name) == util_global.get_value('main', ""):
util_global.set_value('is_main_file', True)
with open(os.path.join(path, file_name), "r", encoding='utf-8') as file:
source = file.read()
try:
r_node = pasta.parse(source)
except Exception as e:
print(repr(e))
return
sys.setrecursionlimit(10000)
visitor = ConverByAst()
visitor.visit(r_node)
ast.fix_missing_locations(r_node)
(api, lineno) = get_tf_api(os.path.join(path, file_name))
if len(api) == 0:
print(
"No Tensorflow module is imported in script {}.".format(file_name))
scan_file(path, file_name, api, lineno)
if util_global.get_value('need_conver', False):
insert_npu_import(r_node)
if not util_global.get_value('has_main_func', False) and (
util_global.get_value('has_hccl_api', False)
or util_global.get_value('is_keras_net', False)):
log_warning(
'the network of keras and horovod, or using dataset.shard script do not have main func, '
'should set -m or --main parameter')
if util_global.get_value('is_main_file',
False) and util_global.get_value(
'has_hccl_api', False):
insert_npu_resource_init(r_node)
insert_npu_resource_shutdown(r_node)
if util_global.get_value('is_main_file',
False) and util_global.get_value(
'is_keras_net', False):
insert_keras_sess_npu_config(r_node)
insert_keras_sess_close(r_node)
dst_content = pasta.dump(r_node)
write_output_after_conver(
os.path.join(util_global.get_value('output'), out_path_dst,
file_name), dst_content)
if file_name.endswith("a.py"):
write_report_after_conver("only_for_test", file_name,
node_tree(ast.dump(r_node)))
def test_block_suffix(self):
src_tpl = textwrap.dedent("""\
{open_block}
pass #a
#b
#c
#d
#e
a
""")
test_cases = (
# first: attribute of the node with the last block
# second: code snippet to open a block
('body', 'def x():'),
('body', 'class X:'),
('body', 'if x:'),
('orelse', 'if x:\n y\nelse:'),
('body', 'if x:\n y\nelif y:'),
('body', 'while x:'),
('orelse', 'while x:\n y\nelse:'),
('finalbody', 'try:\n x\nfinally:'),
('body', 'try:\n x\nexcept:'),
('orelse', 'try:\n x\nexcept:\n y\nelse:'),
('body', 'with x:'),
('body', 'with x, y:'),
('body', 'with x:\n with y:'),
('body', 'for x in y:'),
)
def is_node_for_suffix(node, children_attr):
# Return True if this node contains the 'pass' statement
val = getattr(node, children_attr, None)
return isinstance(val, list) and (type(val[0]) == ast27.Pass
or type(val[0]) == ast3.Pass)
for children_attr, open_block in test_cases:
src = src_tpl.format(open_block=open_block)
t = pasta.parse(src, py_ver)
node_finder = ast_utils.get_find_node_visitor(
lambda node: is_node_for_suffix(node, children_attr),
py_ver)
node_finder.visit(t)
node = node_finder.results[0]
expected = ' #b\n #c\n\n #d\n'
actual = str(fmt.get(node, 'block_suffix_%s' % children_attr))
self.assertMultiLineEqual(
expected, actual,
'Incorrect suffix for code:\n%s\nNode: %s (line %d)\nDiff:\n%s'
% (src, node, node.lineno, '\n'.join(
_get_diff(actual, expected))))
self.assertMultiLineEqual(src, pasta.dump(t, py_ver))
def update_string_pasta(self, text, in_filename):
"""Updates a file using pasta."""
try:
t = pasta.parse(text)
except (SyntaxError, ValueError, TypeError):
log = "Failed to parse.\n\n" + traceback.format_exc()
return 0, "", log, []
visitor = _PastaEditVisitor(self._api_change_spec)
visitor.visit(t)
errors = self._format_errors(visitor.errors, in_filename)
return 1, pasta.dump(t), visitor.log_text(), errors
def update_string_pasta(self, text, in_filename):
"""Updates a file using pasta."""
try:
t = pasta.parse(text)
except (SyntaxError, ValueError, TypeError):
log = ["ERROR: Failed to parse.\n" + traceback.format_exc()]
return 0, "", log, []
visitor = _PastaEditVisitor(self._api_change_spec)
visitor.visit(t)
logs = [self.format_log(log, None) for log in visitor.log]
errors = [self.format_log(error, in_filename)
for error in visitor.warnings_and_errors]
return 1, pasta.dump(t), logs, errors
