Custom Query (121 matches)

Reported by lal.george@…, 6 years ago.

yaml.load appears to be really (really) slow on large input. My string is

--- seqno : 1 outof : 1 result :

• <1.6Mbyte string>

Both the input and output are fairly simple. Why does it take a long time to parse?

Lal

Reported by lal.george@…, 5 years ago.

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?

Thanks.

Best,

Lal

Reported by lele@…, 7 years ago.

I noticed what seems a little glitch in PyYAML handling of datetime when they carry a timezone.

The regexp used to match the various fields assumes there is a separator between the fractional part and the timezone offset, while the representer simply appends the offset without any separator, effectively resulting in a wrong representation (in the case the offset is positive).

Moreover, unicode(data.utcoffset()) gives something like "-1 day, 22:00" for an offset of -2 hours.