def _parse_time_slice_str(slc_str):
r"""
Args:
slc_str (str): must be a single string containing a single
time slice
Returns:
one of {int, string, or slice (can contain ints,
floats, or strings)}
Note:
Individual elements of the slice can look like an int,
float with trailing 'f', or they can have the form
[A-Z]+[\d:]+\.\d*. This last one is a datetime-like
representation with some preceding letters. The preceding
letters are
"""
# regex parse the sting into a list of datetime-like strings,
# integers, floats, and bare colons that mark the slices
# Note: for datetime-like strings, the letters preceeding a datetime
# are necessary, otherwise 02:20:30.01 would have more than one meaning
rstr = (r"\s*(?:(?!:)[A-Z]+[-\d:T]+\.\d*|:|[-+]?[0-9]*\.?[0-9]+f?)\s*|"
r"[-+]?[0-9]+")
r = re.compile(rstr, re.I)
all_times = r.findall(slc_str)
if len(all_times) == 1 and all_times[0] != ":":
return vutil.str_to_value(all_times[0])
# fill in implied slice colons, then replace them with something
# unique... like !!
all_times += [':'] * (2 - all_times.count(':'))
all_times = [s if s != ":" else "!!" for s in all_times]
# this is kinda silly, but turn all times back into a string,
# then split it again, this is the easiest way to parse something
# like '1::2'
ret = "".join(all_times).split("!!")
# convert empty -> None, ints -> ints and floats->floats
for i, val in enumerate(ret):
ret[i] = vutil.str_to_value(val)
if len(ret) > 3:
raise ValueError("Could not decipher slice: '{0}'. Perhaps you're "
"missing some letters in front of a time "
"string?".format(slc_str))
# trim trailing dots
ret = [r.rstrip('.') if hasattr(r, 'rstrip') else r for r in ret]
return slice(*ret)
def _parse_time_slice_str(slc_str):
r"""
Args:
slc_str (str): must be a single string containing a single
time slice
Returns:
one of {int, string, or slice (can contain ints,
floats, or strings)}
Note:
Individual elements of the slice can look like an int,
float with trailing 'f', or they can have the form
[A-Z]+[\d:]+\.\d*. This last one is a datetime-like
representation with some preceding letters. The preceding
letters are
"""
# regex parse the sting into a list of datetime-like strings,
# integers, floats, and bare colons that mark the slices
# Note: for datetime-like strings, the letters preceeding a datetime
# are necessary, otherwise 02:20:30.01 would have more than one meaning
rstr = (r"\s*(?:(?!:)[A-Z]+[-\d:T]+\.\d*|:|[-+]?[0-9]*\.?[0-9]+f?)\s*|"
r"[-+]?[0-9]+")
r = re.compile(rstr, re.I)
all_times = r.findall(slc_str)
if len(all_times) == 1 and all_times[0] != ":":
return vutil.str_to_value(all_times[0])
# fill in implied slice colons, then replace them with something
# unique... like !!
all_times += [':'] * (2 - all_times.count(':'))
all_times = [s if s != ":" else "!!" for s in all_times]
# this is kinda silly, but turn all times back into a string,
# then split it again, this is the easiest way to parse something
# like '1::2'
ret = "".join(all_times).split("!!")
# convert empty -> None, ints -> ints and floats->floats
for i, val in enumerate(ret):
ret[i] = vutil.str_to_value(val)
if len(ret) > 3:
raise ValueError("Could not decipher slice: '{0}'. Perhaps you're "
"missing some letters in front of a time "
"string?".format(slc_str))
# trim trailing dots
ret = [r.rstrip('.') if hasattr(r, 'rstrip') else r for r in ret]
return slice(*ret)
def as_floating_t(self, t, none_passthrough=False):
t_as_s = None
try:
t = vutil.str_to_value(t)
if viscid.is_timedelta_like(t, conservative=True):
t_as_s = viscid.as_timedelta(t).total_seconds()
elif viscid.is_datetime_like(t, conservative=True):
delta_t = viscid.as_datetime64(t) - self.basetime
t_as_s = viscid.as_timedelta(delta_t).total_seconds()
elif not isinstance(t, (int, np.integer, type(None))):
t_as_s = float(t)
except AttributeError:
if t is None:
if none_passthrough:
pass
else:
t = 0.0
else:
t_as_s = float(t)
return t_as_s
def as_floating_t(self, t, none_passthrough=False):
t_as_s = None
try:
t = vutil.str_to_value(t)
if viscid.is_timedelta_like(t, conservative=True):
t_as_s = viscid.as_timedelta(t).total_seconds()
elif viscid.is_datetime_like(t, conservative=True):
delta_t = viscid.as_datetime64(t) - self.basetime
t_as_s = viscid.as_timedelta(delta_t).total_seconds()
elif not isinstance(t, (int, np.integer, type(None))):
t_as_s = float(t)
except AttributeError:
if t is None:
if none_passthrough:
pass
else:
t = 0.0
else:
t_as_s = float(t)
return t_as_s
