def get_matching_files_v2(pattern):
"""Returns a list of files that match the given pattern(s).
Args:
pattern: string or iterable of strings. The glob pattern(s).
Returns:
A list of strings containing filenames that match the given pattern(s).
Raises:
errors.OpError: If there are filesystem / directory listing errors.
"""
with errors.raise_exception_on_not_ok_status() as status:
if isinstance(pattern, six.string_types):
return [
# Convert the filenames to string from bytes.
compat.as_str_any(matching_filename)
for matching_filename in pywrap_tensorflow.GetMatchingFiles(
compat.as_bytes(pattern), status)
]
else:
return [
# Convert the filenames to string from bytes.
compat.as_str_any(matching_filename)
for single_filename in pattern
for matching_filename in pywrap_tensorflow.GetMatchingFiles(
compat.as_bytes(single_filename), status)
]
def get_matching_files_v2(pattern):
"""Returns a list of files that match the given pattern(s).
Args:
pattern: string or iterable of strings. The glob pattern(s).
Returns:
A list of strings containing filenames that match the given pattern(s).
Raises:
errors.OpError: If there are filesystem / directory listing errors.
"""
if isinstance(pattern, six.string_types):
return [
# Convert the filenames to string from bytes.
compat.as_str_any(matching_filename)
for matching_filename in pywrap_tensorflow.GetMatchingFiles(
compat.as_bytes(pattern))
]
else:
return [
# Convert the filenames to string from bytes.
compat.as_str_any(matching_filename) # pylint: disable=g-complex-comprehension
for single_filename in pattern
for matching_filename in pywrap_tensorflow.GetMatchingFiles(
compat.as_bytes(single_filename))
]
def get_matching_files(filename):
"""Returns a list of files that match the given pattern.
Args:
filename: string, the pattern
Returns:
Returns a list of strings containing filenames that match the given pattern.
Raises:
errors.OpError: If there are filesystem / directory listing errors.
"""
with errors.raise_exception_on_not_ok_status() as status:
# Convert each element to string, since the return values of the
# vector of string should be interpreted as strings, not bytes.
return [compat.as_str_any(matching_filename)
for matching_filename in pywrap_tensorflow.GetMatchingFiles(
compat.as_bytes(filename), status)]
def get_matching_files(filename):
with errors.raise_exception_on_not_ok_status() as status:
return pywrap_tensorflow.GetMatchingFiles(compat.as_bytes(filename), status)
