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tools: refactor short_format with metadata

This commit is contained in:
Simon Renblad 2023-07-03 11:36:44 +08:00 committed by Sébastien Bourdeauducq
parent 337273acb6
commit bf38fc8b0f
1 changed files with 30 additions and 9 deletions

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@ -15,6 +15,7 @@ from sipyco import pyon
from artiq import __version__ as artiq_version
from artiq.appdirs import user_config_dir
from artiq.language.environment import is_public_experiment
from artiq.language import units
__all__ = ["parse_arguments", "elide", "short_format", "file_import",
@ -54,20 +55,40 @@ def elide(s, maxlen):
return s
def short_format(v):
def short_format(v, metadata={}):
m = metadata
unit = m.get("unit", "")
default_scale = getattr(units, unit, 1)
scale = m.get("scale", default_scale)
precision = m.get("precision", None)
if v is None:
return "None"
t = type(v)
if np.issubdtype(t, np.number) or np.issubdtype(t, np.bool_):
return str(v)
if np.issubdtype(t, np.number):
v_t = np.divide(v, scale)
v_str = np.format_float_positional(v_t,
precision=precision,
unique=True)
v_str += " " + unit if unit else ""
return v_str
elif np.issubdtype(t, np.bool_):
return str(v)
elif np.issubdtype(t, np.unicode_):
return "\"" + elide(v, 50) + "\""
else:
r = t.__name__
if t is list or t is dict or t is set:
r += " ({})".format(len(v))
if t is np.ndarray:
r += " " + str(np.shape(v))
elif t is np.ndarray:
v_t = np.divide(v, scale)
v_str = np.array2string(v_t,
max_line_width=1000,
precision=precision,
suppress_small=True,
separator=', ',
threshold=4,
edgeitems=2,
floatmode='maxprec')
v_str += " " + unit if unit else ""
return v_str
elif isinstance(v, (dict, list)):
r = t.__name__ + " ({})".format(len(v))
return r