def internal_create_csv_loader(filename,
num_threads=0,
allow_quoted_newlines=False,
block_size=32768,
number_only=False,
no_header=False,
max_level_name_length=None,
max_levels=None,
cat_names=None,
text_names=None,
num_names=None):
"""
Creates a ParaText internal C++ CSV reader object and reads the CSV
file in parallel. This function ordinarily should not be called directly.
Parameters
----------
{0}
Returns
-------
loader : a paratext_internal.ColBasedLoader object
Returns a C++ loader object with the parsed CSV embedded in the
parallel worker's scratch space.
"""
loader = pti.ColBasedLoader()
params = pti.ParseParams()
params.allow_quoted_newlines = allow_quoted_newlines
if num_threads > 0:
params.num_threads = num_threads
else:
params.num_threads = int(max(pti.get_num_cores(), 4))
params.number_only = number_only
params.no_header = no_header
if max_levels is not None:
params.max_levels = max_levels
if max_level_name_length is not None:
params.max_level_name_length = max_level_name_length
if six.PY2:
encoder = lambda x: x.encode("utf-8")
else:
encoder = lambda x: x
if cat_names is not None:
for name in cat_names:
name = encoder(name)
loader.force_semantics(name, pti.CATEGORICAL)
if num_names is not None:
for name in num_names:
name = encoder(name)
loader.force_semantics(name, pti.NUMERIC)
if text_names is not None:
for name in text_names:
name = encoder(name)
loader.force_semantics(name, pti.TEXT)
loader.load(_make_posix_filename(filename), params)
return loader
def internal_create_csv_loader(filename, num_threads=0, allow_quoted_newlines=False, block_size=32768, number_only=False, no_header=False, max_level_name_length=None, max_levels=None, cat_names=None, text_names=None, num_names=None, in_encoding=None, out_encoding=None, convert_null_to_space=True):
"""
Creates a ParaText internal C++ CSV reader object and reads the CSV
file in parallel. This function ordinarily should not be called directly.
Parameters
----------
{0}
Returns
-------
loader : a paratext_internal.ColBasedLoader object
Returns a C++ loader object with the parsed CSV embedded in the
parallel worker's scratch space.
"""
loader = pti.ColBasedLoader()
params = pti.ParseParams()
params.allow_quoted_newlines = allow_quoted_newlines
if num_threads > 0:
params.num_threads = num_threads
else:
params.num_threads = int(max(pti.get_num_cores(), 4))
params.number_only = number_only
params.no_header = no_header
params.convert_null_to_space = convert_null_to_space
if max_levels is not None:
params.max_levels = max_levels;
if max_level_name_length is not None:
params.max_level_name_length = max_level_name_length
if six.PY2:
encoder = lambda x: x.encode("utf-8")
else:
encoder = lambda x: x
if cat_names is not None:
for name in cat_names:
name = encoder(name)
loader.force_semantics(name, pti.CATEGORICAL)
if num_names is not None:
for name in num_names:
name = encoder(name)
loader.force_semantics(name, pti.NUMERIC)
if text_names is not None:
for name in text_names:
name = encoder(name)
loader.force_semantics(name, pti.TEXT)
if in_encoding is not None and in_encoding not in ("utf-8", "unknown"):
raise ValueError("invalid encoding: " % in_encoding)
if out_encoding is not None and out_encoding not in ("utf-8", "unknown"):
raise ValueError("invalid encoding: " % out_encoding)
if in_encoding == "utf-8":
loader.set_in_encoding(pti.UNICODE_UTF8)
if out_encoding == "utf-8":
loader.set_out_encoding(pti.UNICODE_UTF8)
loader.load(_make_posix_filename(filename), params)
return loader