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# -*- coding: utf-8 -*-
"""
pint.compat
~~~~~~~~~~~
Compatibility layer.
:copyright: 2013 by Pint Authors, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from io import BytesIO
from numbers import Number
from decimal import Decimal
from . import tokenize
ENCODING_TOKEN = tokenize.ENCODING
def tokenizer(input_string):
for tokinfo in tokenize.tokenize(BytesIO(input_string.encode('utf-8')).readline):
if tokinfo.type == ENCODING_TOKEN:
continue
yield tokinfo
try:
import numpy as np
from numpy import ndarray
HAS_NUMPY = True
NUMPY_VER = np.__version__
NUMERIC_TYPES = (Number, Decimal, ndarray, np.number)
def _to_magnitude(value, force_ndarray=False):
if isinstance(value, (dict, bool)) or value is None:
raise TypeError('Invalid magnitude for Quantity: {0!r}'.format(value))
elif isinstance(value, str) and value == '':
raise ValueError('Quantity magnitude cannot be an empty string.')
elif isinstance(value, (list, tuple)):
return np.asarray(value)
if force_ndarray:
return np.asarray(value)
return value
except ImportError:
np = None
class ndarray:
pass
HAS_NUMPY = False
NUMPY_VER = '0'
NUMERIC_TYPES = (Number, Decimal)
def _to_magnitude(value, force_ndarray=False):
if isinstance(value, (dict, bool)) or value is None:
raise TypeError('Invalid magnitude for Quantity: {0!r}'.format(value))
elif isinstance(value, str) and value == '':
raise ValueError('Quantity magnitude cannot be an empty string.')
elif isinstance(value, (list, tuple)):
raise TypeError('lists and tuples are valid magnitudes for '
'Quantity only when NumPy is present.')
return value
try:
from uncertainties import ufloat
HAS_UNCERTAINTIES = True
except ImportError:
ufloat = None
HAS_UNCERTAINTIES = False
try:
from babel import Locale as Loc
from babel import units as babel_units
HAS_BABEL = True
HAS_PROPER_BABEL = hasattr(babel_units, 'format_unit')
except ImportError:
HAS_PROPER_BABEL = HAS_BABEL = False
if not HAS_PROPER_BABEL:
Loc = babel_units = None
try:
import pandas as pd
HAS_PANDAS = True
# pin Pandas version for now
HAS_PROPER_PANDAS = pd.__version__.startswith("0.24.0.dev0+625.gbdb7a16")
except ImportError:
HAS_PROPER_PANDAS = HAS_PANDAS = False
try:
import pytest
HAS_PYTEST = True
except ImportError:
HAS_PYTEST = False
|
