Python numpy.format_float_positional() Examples
The following are 15 code examples for showing how to use numpy.format_float_positional(). These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.
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Example 1
| Project: pingouin Author: raphaelvallat File: bayesian.py License: GNU General Public License v3.0 | 5 votes |
|
def _format_bf(bf, precision=3, trim='0'):
"""Format BF10 to floating point or scientific notation.
"""
if bf >= 1e4 or bf <= 1e-4:
out = np.format_float_scientific(bf, precision=precision, trim=trim)
else:
out = np.format_float_positional(bf, precision=precision, trim=trim)
return out
Example 2
| Project: dimod Author: dwavesystems File: format.py License: Apache License 2.0 | 5 votes |
|
def append_vector(self, name, vector, _left=False):
"""Add a data vectors column."""
if np.issubdtype(vector.dtype, np.integer):
# determine the length we need
largest = str(max(vector.max(), vector.min(), key=abs))
length = max(len(largest), min(7, len(name))) # how many spaces we need to represent
if len(name) > length:
header = name[:length-1] + '.'
else:
header = name.rjust(length)
def f(datum):
return str(getattr(datum, name)).rjust(length)
elif np.issubdtype(vector.dtype, np.floating):
largest = np.format_float_positional(max(vector.max(), vector.min(), key=abs),
precision=6, trim='0')
length = max(len(largest), min(7, len(name))) # how many spaces we need to represent
if len(name) > length:
header = name[:length-1] + '.'
else:
header = name.rjust(length)
def f(datum):
return np.format_float_positional(getattr(datum, name),
precision=6, trim='0',
).rjust(length)
else:
length = 7
if len(name) > length:
header = name[:length-1] + '.'
else:
header = name.rjust(length)
def f(datum):
r = repr(getattr(datum, name))
if len(r) > length:
r = r[:length-3] + '...'
return r.rjust(length)
self.append(header, f, _left=_left)
Example 3
| Project: MultiPlanarUNet Author: perslev File: utils.py License: MIT License | 5 votes |
|
def arr_to_fixed_precision_string(arr, precision):
f = np.format_float_positional
s = map(lambda x: f(x, precision, pad_right=precision), arr)
return "[{}]".format(" ".join(s))
Example 4
| Project: allesfitter Author: MNGuenther File: plotter.py License: MIT License | 5 votes |
|
def plot_info(ax, text=0, params=None, settings=None, **kwargs):
params = translate(params=params, settings=settings, quiet=True, **kwargs)
ax.set_axis_off()
if text==0:
ax.text(0,0.95,'R_comp = '+np.format_float_positional(params['R_companion_earth'],2)+r' $R_\odot$ = ' + np.format_float_positional(params['R_companion_jup'],2)+r' $R_J$ = ' + np.format_float_positional(params['R_companion_sun'],2)+r' $R_\odot$', transform=ax.transAxes) #bodies
ax.text(0,0.85,'M_comp = '+np.format_float_positional(params['M_companion_earth'],2)+r' $M_\odot$ = ' + np.format_float_positional(params['M_companion_jup'],2)+r' $M_J$ = ' + np.format_float_positional(params['M_companion_sun'],2)+r' $M_\odot$', transform=ax.transAxes)
ax.text(0,0.75,'R_host = '+str(params['R_host'])+r' $R_\odot$', transform=ax.transAxes)
ax.text(0,0.65,'M_host = '+str(params['M_host'])+r' $M_\odot$', transform=ax.transAxes)
ax.text(0,0.55,'sbratio = '+str(params['sbratio']), transform=ax.transAxes)
ax.text(0,0.45,'epoch' + ' = '+str(params['epoch'])+r' $\mathrm{BJD_{TDB}}$', transform=ax.transAxes) #orbits
ax.text(0,0.35,'period = '+str(params['period'])+' days', transform=ax.transAxes)
ax.text(0,0.25,'incl = '+str(params['incl'])+' deg', transform=ax.transAxes)
ax.text(0,0.15,'ecc = '+str(params['ecc']), transform=ax.transAxes)
ax.text(0,0.05,'omega = '+str(params['omega'])+' deg', transform=ax.transAxes)
if text==1:
ax.text(0,0.95,'dil = '+str(params['dil']), transform=ax.transAxes)
ax.text(0,0.85,'R_comp/R_host = '+np.format_float_positional(params['rr'],5,False), transform=ax.transAxes)
ax.text(0,0.75,'(R_comp+R_host)/a = '+np.format_float_positional(params['rsuma'],5,False), transform=ax.transAxes)
ax.text(0,0.65,'R_comp/a = '+np.format_float_positional(params['R_companion_over_a'],5,False), transform=ax.transAxes)
ax.text(0,0.55,'R_host/a = '+np.format_float_positional(params['R_host_over_a'],5,False), transform=ax.transAxes)
ax.text(0,0.45,'cosi = '+np.format_float_positional(params['cosi'],5,False), transform=ax.transAxes)
ax.text(0,0.35,r'$\sqrt{e} \cos{\omega}$ = '+np.format_float_positional(params['f_c'],5,False), transform=ax.transAxes)
ax.text(0,0.25,r'$\sqrt{e} \sin{\omega}$ = '+np.format_float_positional(params['f_s'],5,False), transform=ax.transAxes)
ax.text(0,0.15,'LD = '+str(params['ldc']), transform=ax.transAxes)
try: ax.text(0,0.05,'LD transf = ['+", ".join([np.format_float_positional(item,5,False) for item in params['ldc_transformed']]) + ']', transform=ax.transAxes)
except: pass
return ax
Example 5
| Project: hummingbot Author: CoinAlpha File: trade_fill.py License: Apache License 2.0 | 5 votes |
|
def to_bounty_api_json(trade_fill: "TradeFill") -> Dict[str, Any]:
return {
"market": trade_fill.market,
"trade_id": trade_fill.exchange_trade_id,
"price": numpy.format_float_positional(trade_fill.price),
"quantity": numpy.format_float_positional(trade_fill.amount),
"symbol": trade_fill.symbol,
"trade_timestamp": trade_fill.timestamp,
"trade_type": trade_fill.trade_type,
"base_asset": trade_fill.base_asset,
"quote_asset": trade_fill.quote_asset,
"raw_json": {
"trade_fee": trade_fill.trade_fee,
}
}
Example 6
| Project: hummingbot Author: CoinAlpha File: order.py License: Apache License 2.0 | 5 votes |
|
def to_bounty_api_json(order: "Order") -> Dict[str, Any]:
return {
"order_id": order.id,
"price": numpy.format_float_positional(order.price),
"quantity": numpy.format_float_positional(order.amount),
"symbol": order.symbol,
"market": order.market,
"order_timestamp": order.creation_timestamp,
"order_type": order.order_type,
"base_asset": order.base_asset,
"quote_asset": order.quote_asset,
"raw_json": {
}
}
Example 7
| Project: recruit Author: Frank-qlu File: test_scalarprint.py License: Apache License 2.0 | 4 votes |
|
def test_dragon4_interface(self):
tps = [np.float16, np.float32, np.float64]
if hasattr(np, 'float128'):
tps.append(np.float128)
fpos = np.format_float_positional
fsci = np.format_float_scientific
for tp in tps:
# test padding
assert_equal(fpos(tp('1.0'), pad_left=4, pad_right=4), " 1. ")
assert_equal(fpos(tp('-1.0'), pad_left=4, pad_right=4), " -1. ")
assert_equal(fpos(tp('-10.2'),
pad_left=4, pad_right=4), " -10.2 ")
# test exp_digits
assert_equal(fsci(tp('1.23e1'), exp_digits=5), "1.23e+00001")
# test fixed (non-unique) mode
assert_equal(fpos(tp('1.0'), unique=False, precision=4), "1.0000")
assert_equal(fsci(tp('1.0'), unique=False, precision=4),
"1.0000e+00")
# test trimming
# trim of 'k' or '.' only affects non-unique mode, since unique
# mode will not output trailing 0s.
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='k'),
"1.0000")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='.'),
"1.")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='.'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='0'),
"1.0")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='0'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='0'), "1.0")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='-'),
"1")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='-'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='-'), "1")
Example 8
| Project: vnpy_crypto Author: birforce File: test_scalarprint.py License: MIT License | 4 votes |
|
def test_dragon4_interface(self):
tps = [np.float16, np.float32, np.float64]
if hasattr(np, 'float128'):
tps.append(np.float128)
fpos = np.format_float_positional
fsci = np.format_float_scientific
for tp in tps:
# test padding
assert_equal(fpos(tp('1.0'), pad_left=4, pad_right=4), " 1. ")
assert_equal(fpos(tp('-1.0'), pad_left=4, pad_right=4), " -1. ")
assert_equal(fpos(tp('-10.2'),
pad_left=4, pad_right=4), " -10.2 ")
# test exp_digits
assert_equal(fsci(tp('1.23e1'), exp_digits=5), "1.23e+00001")
# test fixed (non-unique) mode
assert_equal(fpos(tp('1.0'), unique=False, precision=4), "1.0000")
assert_equal(fsci(tp('1.0'), unique=False, precision=4),
"1.0000e+00")
# test trimming
# trim of 'k' or '.' only affects non-unique mode, since unique
# mode will not output trailing 0s.
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='k'),
"1.0000")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='.'),
"1.")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='.'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='0'),
"1.0")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='0'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='0'), "1.0")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='-'),
"1")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='-'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='-'), "1")
Example 9
| Project: Mastering-Elasticsearch-7.0 Author: PacktPublishing File: test_scalarprint.py License: MIT License | 4 votes |
|
def test_dragon4_interface(self):
tps = [np.float16, np.float32, np.float64]
if hasattr(np, 'float128'):
tps.append(np.float128)
fpos = np.format_float_positional
fsci = np.format_float_scientific
for tp in tps:
# test padding
assert_equal(fpos(tp('1.0'), pad_left=4, pad_right=4), " 1. ")
assert_equal(fpos(tp('-1.0'), pad_left=4, pad_right=4), " -1. ")
assert_equal(fpos(tp('-10.2'),
pad_left=4, pad_right=4), " -10.2 ")
# test exp_digits
assert_equal(fsci(tp('1.23e1'), exp_digits=5), "1.23e+00001")
# test fixed (non-unique) mode
assert_equal(fpos(tp('1.0'), unique=False, precision=4), "1.0000")
assert_equal(fsci(tp('1.0'), unique=False, precision=4),
"1.0000e+00")
# test trimming
# trim of 'k' or '.' only affects non-unique mode, since unique
# mode will not output trailing 0s.
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='k'),
"1.0000")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='.'),
"1.")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='.'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='0'),
"1.0")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='0'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='0'), "1.0")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='-'),
"1")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='-'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='-'), "1")
Example 10
| Project: GraphicDesignPatternByPython Author: Relph1119 File: test_scalarprint.py License: MIT License | 4 votes |
|
def test_dragon4_interface(self):
tps = [np.float16, np.float32, np.float64]
if hasattr(np, 'float128'):
tps.append(np.float128)
fpos = np.format_float_positional
fsci = np.format_float_scientific
for tp in tps:
# test padding
assert_equal(fpos(tp('1.0'), pad_left=4, pad_right=4), " 1. ")
assert_equal(fpos(tp('-1.0'), pad_left=4, pad_right=4), " -1. ")
assert_equal(fpos(tp('-10.2'),
pad_left=4, pad_right=4), " -10.2 ")
# test exp_digits
assert_equal(fsci(tp('1.23e1'), exp_digits=5), "1.23e+00001")
# test fixed (non-unique) mode
assert_equal(fpos(tp('1.0'), unique=False, precision=4), "1.0000")
assert_equal(fsci(tp('1.0'), unique=False, precision=4),
"1.0000e+00")
# test trimming
# trim of 'k' or '.' only affects non-unique mode, since unique
# mode will not output trailing 0s.
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='k'),
"1.0000")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='.'),
"1.")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='.'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='0'),
"1.0")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='0'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='0'), "1.0")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='-'),
"1")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='-'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='-'), "1")
Example 11
| Project: predictive-maintenance-using-machine-learning Author: awslabs File: test_scalarprint.py License: Apache License 2.0 | 4 votes |
|
def test_dragon4_interface(self):
tps = [np.float16, np.float32, np.float64]
if hasattr(np, 'float128'):
tps.append(np.float128)
fpos = np.format_float_positional
fsci = np.format_float_scientific
for tp in tps:
# test padding
assert_equal(fpos(tp('1.0'), pad_left=4, pad_right=4), " 1. ")
assert_equal(fpos(tp('-1.0'), pad_left=4, pad_right=4), " -1. ")
assert_equal(fpos(tp('-10.2'),
pad_left=4, pad_right=4), " -10.2 ")
# test exp_digits
assert_equal(fsci(tp('1.23e1'), exp_digits=5), "1.23e+00001")
# test fixed (non-unique) mode
assert_equal(fpos(tp('1.0'), unique=False, precision=4), "1.0000")
assert_equal(fsci(tp('1.0'), unique=False, precision=4),
"1.0000e+00")
# test trimming
# trim of 'k' or '.' only affects non-unique mode, since unique
# mode will not output trailing 0s.
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='k'),
"1.0000")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='.'),
"1.")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='.'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='0'),
"1.0")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='0'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='0'), "1.0")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='-'),
"1")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='-'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='-'), "1")
Example 12
| Project: pySINDy Author: luckystarufo File: test_scalarprint.py License: MIT License | 4 votes |
|
def test_dragon4_interface(self):
tps = [np.float16, np.float32, np.float64]
if hasattr(np, 'float128'):
tps.append(np.float128)
fpos = np.format_float_positional
fsci = np.format_float_scientific
for tp in tps:
# test padding
assert_equal(fpos(tp('1.0'), pad_left=4, pad_right=4), " 1. ")
assert_equal(fpos(tp('-1.0'), pad_left=4, pad_right=4), " -1. ")
assert_equal(fpos(tp('-10.2'),
pad_left=4, pad_right=4), " -10.2 ")
# test exp_digits
assert_equal(fsci(tp('1.23e1'), exp_digits=5), "1.23e+00001")
# test fixed (non-unique) mode
assert_equal(fpos(tp('1.0'), unique=False, precision=4), "1.0000")
assert_equal(fsci(tp('1.0'), unique=False, precision=4),
"1.0000e+00")
# test trimming
# trim of 'k' or '.' only affects non-unique mode, since unique
# mode will not output trailing 0s.
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='k'),
"1.0000")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='.'),
"1.")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='.'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='0'),
"1.0")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='0'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='0'), "1.0")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='-'),
"1")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='-'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='-'), "1")
Example 13
| Project: coffeegrindsize Author: jgagneastro File: test_scalarprint.py License: MIT License | 4 votes |
|
def test_dragon4_interface(self):
tps = [np.float16, np.float32, np.float64]
if hasattr(np, 'float128'):
tps.append(np.float128)
fpos = np.format_float_positional
fsci = np.format_float_scientific
for tp in tps:
# test padding
assert_equal(fpos(tp('1.0'), pad_left=4, pad_right=4), " 1. ")
assert_equal(fpos(tp('-1.0'), pad_left=4, pad_right=4), " -1. ")
assert_equal(fpos(tp('-10.2'),
pad_left=4, pad_right=4), " -10.2 ")
# test exp_digits
assert_equal(fsci(tp('1.23e1'), exp_digits=5), "1.23e+00001")
# test fixed (non-unique) mode
assert_equal(fpos(tp('1.0'), unique=False, precision=4), "1.0000")
assert_equal(fsci(tp('1.0'), unique=False, precision=4),
"1.0000e+00")
# test trimming
# trim of 'k' or '.' only affects non-unique mode, since unique
# mode will not output trailing 0s.
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='k'),
"1.0000")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='.'),
"1.")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='.'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='0'),
"1.0")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='0'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='0'), "1.0")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='-'),
"1")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='-'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='-'), "1")
Example 14
| Project: Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda Author: PacktPublishing File: test_scalarprint.py License: MIT License | 4 votes |
|
def test_dragon4_interface(self):
tps = [np.float16, np.float32, np.float64]
if hasattr(np, 'float128'):
tps.append(np.float128)
fpos = np.format_float_positional
fsci = np.format_float_scientific
for tp in tps:
# test padding
assert_equal(fpos(tp('1.0'), pad_left=4, pad_right=4), " 1. ")
assert_equal(fpos(tp('-1.0'), pad_left=4, pad_right=4), " -1. ")
assert_equal(fpos(tp('-10.2'),
pad_left=4, pad_right=4), " -10.2 ")
# test exp_digits
assert_equal(fsci(tp('1.23e1'), exp_digits=5), "1.23e+00001")
# test fixed (non-unique) mode
assert_equal(fpos(tp('1.0'), unique=False, precision=4), "1.0000")
assert_equal(fsci(tp('1.0'), unique=False, precision=4),
"1.0000e+00")
# test trimming
# trim of 'k' or '.' only affects non-unique mode, since unique
# mode will not output trailing 0s.
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='k'),
"1.0000")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='.'),
"1.")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='.'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='0'),
"1.0")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='0'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='0'), "1.0")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='-'),
"1")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='-'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='-'), "1")
Example 15
| Project: twitter-stock-recommendation Author: alvarobartt File: test_scalarprint.py License: MIT License | 4 votes |
|
def test_dragon4_interface(self):
tps = [np.float16, np.float32, np.float64]
if hasattr(np, 'float128'):
tps.append(np.float128)
fpos = np.format_float_positional
fsci = np.format_float_scientific
for tp in tps:
# test padding
assert_equal(fpos(tp('1.0'), pad_left=4, pad_right=4), " 1. ")
assert_equal(fpos(tp('-1.0'), pad_left=4, pad_right=4), " -1. ")
assert_equal(fpos(tp('-10.2'),
pad_left=4, pad_right=4), " -10.2 ")
# test exp_digits
assert_equal(fsci(tp('1.23e1'), exp_digits=5), "1.23e+00001")
# test fixed (non-unique) mode
assert_equal(fpos(tp('1.0'), unique=False, precision=4), "1.0000")
assert_equal(fsci(tp('1.0'), unique=False, precision=4),
"1.0000e+00")
# test trimming
# trim of 'k' or '.' only affects non-unique mode, since unique
# mode will not output trailing 0s.
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='k'),
"1.0000")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='.'),
"1.")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='.'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='0'),
"1.0")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='0'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='0'), "1.0")
assert_equal(fpos(tp('1.'), unique=False, precision=4, trim='-'),
"1")
assert_equal(fpos(tp('1.2'), unique=False, precision=4, trim='-'),
"1.2" if tp != np.float16 else "1.2002")
assert_equal(fpos(tp('1.'), trim='-'), "1")
