except ImportError:
pass
import numpy as np
from numpy.testing import assert_almost_equal
import pandas as pd
import unittest
import pytest
from pvlib.location import Location
try:
from numba import __version__ as numba_version
numba_version_int = int(numba_version.split('.')[0] +
numba_version.split('.')[1])
except ImportError:
numba_version_int = 0
times = (pd.date_range('2003-10-17 12:30:30', periods=1, freq='D')
.tz_localize('MST'))
unixtimes = np.array(times.tz_convert('UTC').astype(np.int64)*1.0/10**9)
lat = 39.742476
lon = -105.1786
elev = 1830.14
pressure = 820
temp = 11
delta_t = 67.0
# this block is a way to use an environment variable to switch between
# compiling the functions with numba or just use numpy
def nocompile(*args, **kwargs):
return lambda func: func
if os.getenv('PVLIB_USE_NUMBA', '0') != '0':
try:
from numba import jit, __version__
except ImportError:
warnings.warn('Could not import numba, falling back to numpy ' +
'calculation')
jcompile = nocompile
USE_NUMBA = False
else:
major, minor = __version__.split('.')[:2]
if int(major + minor) >= 17:
# need at least numba >= 0.17.0
jcompile = jit
USE_NUMBA = True
else:
warnings.warn('Numba version must be >= 0.17.0, falling back to ' +
'numpy')
jcompile = nocompile
USE_NUMBA = False
else:
jcompile = nocompile
USE_NUMBA = False
TABLE_1_DICT = {
# this block is a way to use an environment variable to switch between
# compiling the functions with numba or just use numpy
def nocompile(*args, **kwargs):
return lambda func: func
if os.getenv('PVLIB_USE_NUMBA', '0') != '0':
try:
from numba import jit, __version__
except ImportError:
warnings.warn('Could not import numba, falling back to numpy ' +
'calculation')
jcompile = nocompile
USE_NUMBA = False
else:
major, minor = __version__.split('.')[:2]
if int(major + minor) >= 17:
# need at least numba >= 0.17.0
jcompile = jit
USE_NUMBA = True
else:
warnings.warn('Numba version must be >= 0.17.0, falling back to ' +
'numpy')
jcompile = nocompile
USE_NUMBA = False
else:
jcompile = nocompile
USE_NUMBA = False
TABLE_1_DICT = {
pass
import numpy as np
import numpy.testing as npt
import pandas as pd
import unittest
from nose.tools import raises, assert_almost_equals
from nose.plugins.skip import SkipTest
from pvlib.location import Location
try:
from numba import __version__ as numba_version
numba_version_int = int(
numba_version.split('.')[0] + numba_version.split('.')[1])
except ImportError:
numba_version_int = 0
times = pd.date_range('2003-10-17 12:30:30', periods=1,
freq='D').tz_localize('MST')
unixtimes = times.tz_convert('UTC').astype(np.int64) * 1.0 / 10**9
lat = 39.742476
lon = -105.1786
elev = 1830.14
pressure = 820
temp = 11
delta_t = 67.0
atmos_refract = 0.5667
JD = 2452930.312847
except ImportError:
pass
import numpy as np
from numpy.testing import assert_almost_equal
import pandas as pd
import unittest
import pytest
from pvlib.location import Location
try:
from numba import __version__ as numba_version
numba_version_int = int(numba_version.split('.')[0] +
numba_version.split('.')[1])
except ImportError:
numba_version_int = 0
times = (pd.date_range('2003-10-17 12:30:30', periods=1, freq='D')
.tz_localize('MST'))
unixtimes = times.tz_convert('UTC').astype(np.int64)*1.0/10**9
lat = 39.742476
lon = -105.1786
elev = 1830.14
pressure = 820
temp = 11
delta_t = 67.0
atmos_refract= 0.5667
