Ticket #73 (closed defect: invalid)

Opened 10 years ago

Last modified 3 years ago

numpy arrays ...

Reported by: lal.george@… Owned by: xi
Priority: high Component: pyyaml
Severity: normal Keywords:


What is the best way to transfer very large numpy arrays using PyYAML?

Ideally I would like to do something like:

m = ; # a very large numpy array

y = "---\nx : '%s'\n" % (m.dumps())

z = yaml.load(y)

However, the yaml.load returns an exception:

'utf8 codec can't decode byte #x80: unexpected code byte in "<string>", position 9.

Since I have quoted the string, yaml should not be diving into it - correct?




Change History

comment:1 Changed 10 years ago by xi

  • Status changed from new to closed
  • Resolution set to invalid

YAML specification requires that the input stream (or in this case, the input string) is encoded in utf-8 or utf-16. That's why the parser complains when it doesn't recognize a valid utf8 character.

In your case, you'd better use pyyaml to serialize the value:

y = yaml.dump({'x': m.dumps()}) # you could add the parameter default_flow_style=False

Alternatively, you could write

y = "---\nx: !!binary '%s'" % m.dumps().encode('base64')

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