def serialize_all(nodes, stream=None, Dumper=Dumper,
canonical=None, indent=None, width=None,
allow_unicode=None, line_break=None,
encoding=enc, explicit_start=None, explicit_end=None,
version=None, tags=None):
"""
Serialize a sequence of representation trees into a YAML stream.
If stream is None, return the produced string instead.
"""
getvalue = None
if stream is None:
if encoding is None:
stream = StringIO()
else:
stream = BytesIO()
getvalue = stream.getvalue
dumper = Dumper(stream, canonical=canonical, indent=indent, width=width,
allow_unicode=allow_unicode, line_break=line_break,
encoding=encoding, version=version, tags=tags,
explicit_start=explicit_start, explicit_end=explicit_end)
try:
dumper.open()
for node in nodes:
dumper.serialize(node)
dumper.close()
finally:
dumper.dispose()
if getvalue:
return getvalue()
def dump_all(documents,
stream=None,
Dumper=Dumper,
default_style=None,
default_flow_style=None,
canonical=None,
indent=None,
width=None,
allow_unicode=None,
line_break=None,
encoding=enc,
explicit_start=None,
explicit_end=None,
version=None,
tags=None,
block_seq_indent=None,
top_level_colon_align=None,
prefix_colon=None):
"""
Serialize a sequence of Python objects into a YAML stream.
If stream is None, return the produced string instead.
"""
getvalue = None
if top_level_colon_align is True:
top_level_colon_align = max([len(str(x)) for x in documents[0]])
if stream is None:
if encoding is None:
stream = StringIO()
else:
stream = BytesIO()
getvalue = stream.getvalue
dumper = Dumper(
stream,
default_style=default_style,
default_flow_style=default_flow_style,
canonical=canonical,
indent=indent,
width=width,
allow_unicode=allow_unicode,
line_break=line_break,
encoding=encoding,
explicit_start=explicit_start,
explicit_end=explicit_end,
version=version,
tags=tags,
block_seq_indent=block_seq_indent,
top_level_colon_align=top_level_colon_align,
prefix_colon=prefix_colon,
)
try:
dumper.open()
for data in documents:
dumper.represent(data)
dumper.close()
finally:
dumper.dispose()
if getvalue:
return getvalue()
def serialize_all(nodes,
stream=None,
Dumper=Dumper,
canonical=None,
indent=None,
width=None,
allow_unicode=None,
line_break=None,
encoding=enc,
explicit_start=None,
explicit_end=None,
version=None,
tags=None):
"""
Serialize a sequence of representation trees into a YAML stream.
If stream is None, return the produced string instead.
"""
getvalue = None
if stream is None:
if encoding is None:
stream = StringIO()
else:
stream = BytesIO()
getvalue = stream.getvalue
dumper = Dumper(stream,
canonical=canonical,
indent=indent,
width=width,
allow_unicode=allow_unicode,
line_break=line_break,
encoding=encoding,
version=version,
tags=tags,
explicit_start=explicit_start,
explicit_end=explicit_end)
try:
dumper.open()
for node in nodes:
dumper.serialize(node)
dumper.close()
finally:
dumper.dispose()
if getvalue:
return getvalue()
def dump_all(documents, stream=None, Dumper=Dumper,
default_style=None, default_flow_style=None,
canonical=None, indent=None, width=None,
allow_unicode=None, line_break=None,
encoding=enc, explicit_start=None, explicit_end=None,
version=None, tags=None, block_seq_indent=None,
top_level_colon_align=None, prefix_colon=None):
"""
Serialize a sequence of Python objects into a YAML stream.
If stream is None, return the produced string instead.
"""
getvalue = None
if top_level_colon_align is True:
top_level_colon_align = max([len(str(x)) for x in documents[0]])
if stream is None:
if encoding is None:
stream = StringIO()
else:
stream = BytesIO()
getvalue = stream.getvalue
dumper = Dumper(stream, default_style=default_style,
default_flow_style=default_flow_style,
canonical=canonical, indent=indent, width=width,
allow_unicode=allow_unicode, line_break=line_break,
encoding=encoding, explicit_start=explicit_start,
explicit_end=explicit_end, version=version,
tags=tags, block_seq_indent=block_seq_indent,
top_level_colon_align=top_level_colon_align, prefix_colon=prefix_colon,
)
try:
dumper.open()
for data in documents:
dumper.represent(data)
dumper.close()
finally:
dumper.dispose()
if getvalue:
return getvalue()
