Merge branch 'util_module_import_style' into 'development'
util: module visibility Closes #150 See merge request damask/DAMASK!603
This commit is contained in:
Daniel Otto de Mentock
commit
1328235192
|
|
@ -1,43 +1,25 @@
|
|||
"""Miscellaneous helper functionality."""
|
||||
|
||||
import sys
|
||||
import datetime
|
||||
import os
|
||||
import subprocess
|
||||
import shlex
|
||||
import re
|
||||
import signal
|
||||
import fractions
|
||||
from collections import abc
|
||||
from functools import reduce, partial
|
||||
from typing import Callable, Union, Iterable, Sequence, Dict, List, Tuple, Literal, Any, Collection, TextIO
|
||||
from pathlib import Path
|
||||
import sys as _sys
|
||||
import datetime as _datetime
|
||||
import os as _os
|
||||
import subprocess as _subprocess
|
||||
import shlex as _shlex
|
||||
import re as _re
|
||||
import signal as _signal
|
||||
import fractions as _fractions
|
||||
from collections import abc as _abc
|
||||
from functools import reduce as _reduce, partial as _partial
|
||||
from typing import Callable as _Callable, Union as _Union, Iterable as _Iterable, Sequence as _Sequence, Dict as _Dict, \
|
||||
List as _List, Tuple as _Tuple, Literal as _Literal, Any as _Any, Collection as _Collection, TextIO as _TextIO
|
||||
from pathlib import Path as _Path
|
||||
|
||||
import numpy as np
|
||||
import h5py
|
||||
import numpy as _np
|
||||
import h5py as _h5py
|
||||
|
||||
from . import version
|
||||
from ._typehints import FloatSequence, NumpyRngSeed, IntCollection, FileHandle
|
||||
|
||||
# limit visibility
|
||||
__all__=[
|
||||
'srepr',
|
||||
'emph', 'deemph', 'warn', 'strikeout',
|
||||
'run',
|
||||
'open_text',
|
||||
'natural_sort',
|
||||
'show_progress',
|
||||
'scale_to_coprime',
|
||||
'project_equal_angle', 'project_equal_area',
|
||||
'hybrid_IA',
|
||||
'execution_stamp',
|
||||
'shapeshifter', 'shapeblender',
|
||||
'extend_docstring', 'extended_docstring',
|
||||
'Bravais_to_Miller', 'Miller_to_Bravais',
|
||||
'DREAM3D_base_group', 'DREAM3D_cell_data_group',
|
||||
'dict_prune', 'dict_flatten',
|
||||
'tail_repack',
|
||||
]
|
||||
from . import version as _version
|
||||
from ._typehints import FloatSequence as _FloatSequence, NumpyRngSeed as _NumpyRngSeed, IntCollection as _IntCollection, \
|
||||
FileHandle as _FileHandle
|
||||
|
||||
# https://svn.blender.org/svnroot/bf-blender/trunk/blender/build_files/scons/tools/bcolors.py
|
||||
# https://stackoverflow.com/questions/287871
|
||||
|
|
@ -154,8 +136,8 @@ def strikeout(msg) -> str:
|
|||
|
||||
def run(cmd: str,
|
||||
wd: str = './',
|
||||
env: Dict[str, str] = None,
|
||||
timeout: int = None) -> Tuple[str, str]:
|
||||
env: _Dict[str, str] = None,
|
||||
timeout: int = None) -> _Tuple[str, str]:
|
||||
"""
|
||||
Run a command.
|
||||
|
||||
|
|
@ -178,26 +160,26 @@ def run(cmd: str,
|
|||
"""
|
||||
def pass_signal(sig,_,proc,default):
|
||||
proc.send_signal(sig)
|
||||
signal.signal(sig,default)
|
||||
signal.raise_signal(sig)
|
||||
_signal.signal(sig,default)
|
||||
_signal.raise_signal(sig)
|
||||
|
||||
signals = [signal.SIGINT,signal.SIGTERM]
|
||||
signals = [_signal.SIGINT,_signal.SIGTERM]
|
||||
|
||||
print(f"running '{cmd}' in '{wd}'")
|
||||
process = subprocess.Popen(shlex.split(cmd),
|
||||
stdout = subprocess.PIPE,
|
||||
stderr = subprocess.PIPE,
|
||||
env = os.environ if env is None else env,
|
||||
cwd = wd,
|
||||
encoding = 'utf-8')
|
||||
process = _subprocess.Popen(_shlex.split(cmd),
|
||||
stdout = _subprocess.PIPE,
|
||||
stderr = _subprocess.PIPE,
|
||||
env = _os.environ if env is None else env,
|
||||
cwd = wd,
|
||||
encoding = 'utf-8')
|
||||
# ensure that process is terminated (https://stackoverflow.com/questions/22916783)
|
||||
sig_states = [signal.signal(sig,partial(pass_signal,proc=process,default=signal.getsignal(sig))) for sig in signals]
|
||||
sig_states = [_signal.signal(sig,_partial(pass_signal,proc=process,default=_signal.getsignal(sig))) for sig in signals]
|
||||
|
||||
try:
|
||||
stdout,stderr = process.communicate(timeout=timeout)
|
||||
finally:
|
||||
for sig,state in zip(signals,sig_states):
|
||||
signal.signal(sig,state)
|
||||
_signal.signal(sig,state)
|
||||
|
||||
if process.returncode != 0:
|
||||
print(stdout)
|
||||
|
|
@ -207,8 +189,8 @@ def run(cmd: str,
|
|||
return stdout, stderr
|
||||
|
||||
|
||||
def open_text(fname: FileHandle,
|
||||
mode: Literal['r','w'] = 'r') -> TextIO:
|
||||
def open_text(fname: _FileHandle,
|
||||
mode: _Literal['r','w'] = 'r') -> _TextIO: # noqa
|
||||
"""
|
||||
Open a text file.
|
||||
|
||||
|
|
@ -224,11 +206,11 @@ def open_text(fname: FileHandle,
|
|||
f : file handle
|
||||
|
||||
"""
|
||||
return fname if not isinstance(fname, (str,Path)) else \
|
||||
open(Path(fname).expanduser(),mode,newline=('\n' if mode == 'w' else None))
|
||||
return fname if not isinstance(fname, (str,_Path)) else \
|
||||
open(_Path(fname).expanduser(),mode,newline=('\n' if mode == 'w' else None))
|
||||
|
||||
|
||||
def natural_sort(key: str) -> List[Union[int, str]]:
|
||||
def natural_sort(key: str) -> _List[_Union[int, str]]:
|
||||
"""
|
||||
Natural sort.
|
||||
|
||||
|
|
@ -240,13 +222,13 @@ def natural_sort(key: str) -> List[Union[int, str]]:
|
|||
|
||||
"""
|
||||
convert = lambda text: int(text) if text.isdigit() else text
|
||||
return [ convert(c) for c in re.split('([0-9]+)', key) ]
|
||||
return [ convert(c) for c in _re.split('([0-9]+)', key) ]
|
||||
|
||||
|
||||
def show_progress(iterable: Iterable,
|
||||
def show_progress(iterable: _Iterable,
|
||||
N_iter: int = None,
|
||||
prefix: str = '',
|
||||
bar_length: int = 50) -> Any:
|
||||
bar_length: int = 50) -> _Any:
|
||||
"""
|
||||
Decorate a loop with a progress bar.
|
||||
|
||||
|
|
@ -264,7 +246,7 @@ def show_progress(iterable: Iterable,
|
|||
Length of progress bar in characters. Defaults to 50.
|
||||
|
||||
"""
|
||||
if isinstance(iterable,abc.Sequence):
|
||||
if isinstance(iterable,_abc.Sequence):
|
||||
if N_iter is None:
|
||||
N = len(iterable)
|
||||
else:
|
||||
|
|
@ -285,7 +267,7 @@ def show_progress(iterable: Iterable,
|
|||
status.update(i)
|
||||
|
||||
|
||||
def scale_to_coprime(v: FloatSequence) -> np.ndarray:
|
||||
def scale_to_coprime(v: _FloatSequence) -> _np.ndarray:
|
||||
"""
|
||||
Scale vector to co-prime (relatively prime) integers.
|
||||
|
||||
|
|
@ -304,30 +286,30 @@ def scale_to_coprime(v: FloatSequence) -> np.ndarray:
|
|||
|
||||
def get_square_denominator(x):
|
||||
"""Denominator of the square of a number."""
|
||||
return fractions.Fraction(x ** 2).limit_denominator(MAX_DENOMINATOR).denominator
|
||||
return _fractions.Fraction(x ** 2).limit_denominator(MAX_DENOMINATOR).denominator
|
||||
|
||||
def lcm(a,b):
|
||||
"""Least common multiple."""
|
||||
try:
|
||||
return np.lcm(a,b) # numpy > 1.18
|
||||
return _np.lcm(a,b) # numpy > 1.18
|
||||
except AttributeError:
|
||||
return a * b // np.gcd(a, b)
|
||||
return a * b // _np.gcd(a, b)
|
||||
|
||||
v_ = np.array(v)
|
||||
m = (v_ * reduce(lcm, map(lambda x: int(get_square_denominator(x)),v_))**0.5).astype(np.int64)
|
||||
m = m//reduce(np.gcd,m)
|
||||
v_ = _np.array(v)
|
||||
m = (v_ * _reduce(lcm, map(lambda x: int(get_square_denominator(x)),v_))**0.5).astype(_np.int64)
|
||||
m = m//_reduce(_np.gcd,m)
|
||||
|
||||
with np.errstate(invalid='ignore'):
|
||||
if not np.allclose(np.ma.masked_invalid(v_/m),v_[np.argmax(abs(v_))]/m[np.argmax(abs(v_))]):
|
||||
with _np.errstate(invalid='ignore'):
|
||||
if not _np.allclose(_np.ma.masked_invalid(v_/m),v_[_np.argmax(abs(v_))]/m[_np.argmax(abs(v_))]):
|
||||
raise ValueError(f'invalid result "{m}" for input "{v_}"')
|
||||
|
||||
return m
|
||||
|
||||
|
||||
def project_equal_angle(vector: np.ndarray,
|
||||
direction: Literal['x', 'y', 'z'] = 'z',
|
||||
def project_equal_angle(vector: _np.ndarray,
|
||||
direction: _Literal['x', 'y', 'z'] = 'z', # noqa
|
||||
normalize: bool = True,
|
||||
keepdims: bool = False) -> np.ndarray:
|
||||
keepdims: bool = False) -> _np.ndarray:
|
||||
"""
|
||||
Apply equal-angle projection to vector.
|
||||
|
||||
|
|
@ -367,15 +349,15 @@ def project_equal_angle(vector: np.ndarray,
|
|||
|
||||
"""
|
||||
shift = 'zyx'.index(direction)
|
||||
v = np.roll(vector/np.linalg.norm(vector,axis=-1,keepdims=True) if normalize else vector,
|
||||
shift,axis=-1)
|
||||
return np.roll(np.block([v[...,:2]/(1.0+np.abs(v[...,2:3])),np.zeros_like(v[...,2:3])]),
|
||||
-shift if keepdims else 0,axis=-1)[...,:3 if keepdims else 2]
|
||||
v = _np.roll(vector/_np.linalg.norm(vector,axis=-1,keepdims=True) if normalize else vector,
|
||||
shift,axis=-1)
|
||||
return _np.roll(_np.block([v[...,:2]/(1.0+_np.abs(v[...,2:3])),_np.zeros_like(v[...,2:3])]),
|
||||
-shift if keepdims else 0,axis=-1)[...,:3 if keepdims else 2]
|
||||
|
||||
def project_equal_area(vector: np.ndarray,
|
||||
direction: Literal['x', 'y', 'z'] = 'z',
|
||||
def project_equal_area(vector: _np.ndarray,
|
||||
direction: _Literal['x', 'y', 'z'] = 'z', # noqa
|
||||
normalize: bool = True,
|
||||
keepdims: bool = False) -> np.ndarray:
|
||||
keepdims: bool = False) -> _np.ndarray:
|
||||
"""
|
||||
Apply equal-area projection to vector.
|
||||
|
||||
|
|
@ -416,22 +398,22 @@ def project_equal_area(vector: np.ndarray,
|
|||
|
||||
"""
|
||||
shift = 'zyx'.index(direction)
|
||||
v = np.roll(vector/np.linalg.norm(vector,axis=-1,keepdims=True) if normalize else vector,
|
||||
shift,axis=-1)
|
||||
return np.roll(np.block([v[...,:2]/np.sqrt(1.0+np.abs(v[...,2:3])),np.zeros_like(v[...,2:3])]),
|
||||
-shift if keepdims else 0,axis=-1)[...,:3 if keepdims else 2]
|
||||
v = _np.roll(vector/_np.linalg.norm(vector,axis=-1,keepdims=True) if normalize else vector,
|
||||
shift,axis=-1)
|
||||
return _np.roll(_np.block([v[...,:2]/_np.sqrt(1.0+_np.abs(v[...,2:3])),_np.zeros_like(v[...,2:3])]),
|
||||
-shift if keepdims else 0,axis=-1)[...,:3 if keepdims else 2]
|
||||
|
||||
def execution_stamp(class_name: str,
|
||||
function_name: str = None) -> str:
|
||||
"""Timestamp the execution of a (function within a) class."""
|
||||
now = datetime.datetime.now().astimezone().strftime('%Y-%m-%d %H:%M:%S%z')
|
||||
now = _datetime.datetime.now().astimezone().strftime('%Y-%m-%d %H:%M:%S%z')
|
||||
_function_name = '' if function_name is None else f'.{function_name}'
|
||||
return f'damask.{class_name}{_function_name} v{version} ({now})'
|
||||
return f'damask.{class_name}{_function_name} v{_version} ({now})'
|
||||
|
||||
|
||||
def hybrid_IA(dist: np.ndarray,
|
||||
def hybrid_IA(dist: _np.ndarray,
|
||||
N: int,
|
||||
rng_seed: NumpyRngSeed = None) -> np.ndarray:
|
||||
rng_seed: _NumpyRngSeed = None) -> _np.ndarray:
|
||||
"""
|
||||
Hybrid integer approximation.
|
||||
|
||||
|
|
@ -446,23 +428,23 @@ def hybrid_IA(dist: np.ndarray,
|
|||
If None, then fresh, unpredictable entropy will be pulled from the OS.
|
||||
|
||||
"""
|
||||
N_opt_samples,N_inv_samples = (max(np.count_nonzero(dist),N),0) # random subsampling if too little samples requested
|
||||
N_opt_samples,N_inv_samples = (max(_np.count_nonzero(dist),N),0) # random subsampling if too little samples requested
|
||||
|
||||
scale_,scale,inc_factor = (0.0,float(N_opt_samples),1.0)
|
||||
while (not np.isclose(scale, scale_)) and (N_inv_samples != N_opt_samples):
|
||||
repeats = np.rint(scale*dist).astype(np.int64)
|
||||
N_inv_samples = np.sum(repeats)
|
||||
while (not _np.isclose(scale, scale_)) and (N_inv_samples != N_opt_samples):
|
||||
repeats = _np.rint(scale*dist).astype(_np.int64)
|
||||
N_inv_samples = _np.sum(repeats)
|
||||
scale_,scale,inc_factor = (scale,scale+inc_factor*0.5*(scale - scale_), inc_factor*2.0) \
|
||||
if N_inv_samples < N_opt_samples else \
|
||||
(scale_,0.5*(scale_ + scale), 1.0)
|
||||
|
||||
return np.repeat(np.arange(len(dist)),repeats)[np.random.default_rng(rng_seed).permutation(N_inv_samples)[:N]]
|
||||
return _np.repeat(_np.arange(len(dist)),repeats)[_np.random.default_rng(rng_seed).permutation(N_inv_samples)[:N]]
|
||||
|
||||
|
||||
def shapeshifter(fro: Tuple[int, ...],
|
||||
to: Tuple[int, ...],
|
||||
mode: Literal['left','right'] = 'left',
|
||||
keep_ones: bool = False) -> Tuple[int, ...]:
|
||||
def shapeshifter(fro: _Tuple[int, ...],
|
||||
to: _Tuple[int, ...],
|
||||
mode: _Literal['left','right'] = 'left', # noqa
|
||||
keep_ones: bool = False) -> _Tuple[int, ...]:
|
||||
"""
|
||||
Return dimensions that reshape 'fro' to become broadcastable to 'to'.
|
||||
|
||||
|
|
@ -509,7 +491,7 @@ def shapeshifter(fro: Tuple[int, ...],
|
|||
fro = (1,) if len(fro) == 0 else fro
|
||||
to = (1,) if len(to) == 0 else to
|
||||
try:
|
||||
match = re.match(beg[mode]
|
||||
match = _re.match(beg[mode]
|
||||
+f',{sep[mode]}'.join(map(lambda x: f'{x}'
|
||||
if x>1 or (keep_ones and len(fro)>1) else
|
||||
'\\d+',fro))
|
||||
|
|
@ -518,14 +500,14 @@ def shapeshifter(fro: Tuple[int, ...],
|
|||
grp = match.groups()
|
||||
except AssertionError:
|
||||
raise ValueError(f'shapes cannot be shifted {fro} --> {to}')
|
||||
fill: Any = ()
|
||||
fill: _Any = ()
|
||||
for g,d in zip(grp,fro+(None,)):
|
||||
fill += (1,)*g.count(',')+(d,)
|
||||
return fill[:-1]
|
||||
|
||||
|
||||
def shapeblender(a: Tuple[int, ...],
|
||||
b: Tuple[int, ...]) -> Tuple[int, ...]:
|
||||
def shapeblender(a: _Tuple[int, ...],
|
||||
b: _Tuple[int, ...]) -> _Tuple[int, ...]:
|
||||
"""
|
||||
Return a shape that overlaps the rightmost entries of 'a' with the leftmost of 'b'.
|
||||
|
||||
|
|
@ -553,7 +535,7 @@ def shapeblender(a: Tuple[int, ...],
|
|||
return a + b[i:]
|
||||
|
||||
|
||||
def extend_docstring(extra_docstring: str) -> Callable:
|
||||
def extend_docstring(extra_docstring: str) -> _Callable:
|
||||
"""
|
||||
Decorator: Append to function's docstring.
|
||||
|
||||
|
|
@ -569,8 +551,8 @@ def extend_docstring(extra_docstring: str) -> Callable:
|
|||
return _decorator
|
||||
|
||||
|
||||
def extended_docstring(f: Callable,
|
||||
extra_docstring: str) -> Callable:
|
||||
def extended_docstring(f: _Callable,
|
||||
extra_docstring: str) -> _Callable:
|
||||
"""
|
||||
Decorator: Combine another function's docstring with a given docstring.
|
||||
|
||||
|
|
@ -588,7 +570,7 @@ def extended_docstring(f: Callable,
|
|||
return _decorator
|
||||
|
||||
|
||||
def DREAM3D_base_group(fname: Union[str, Path]) -> str:
|
||||
def DREAM3D_base_group(fname: _Union[str, _Path]) -> str:
|
||||
"""
|
||||
Determine the base group of a DREAM.3D file.
|
||||
|
||||
|
|
@ -606,7 +588,7 @@ def DREAM3D_base_group(fname: Union[str, Path]) -> str:
|
|||
Path to the base group.
|
||||
|
||||
"""
|
||||
with h5py.File(Path(fname).expanduser(),'r') as f:
|
||||
with _h5py.File(_Path(fname).expanduser(),'r') as f:
|
||||
base_group = f.visit(lambda path: path.rsplit('/',2)[0] if '_SIMPL_GEOMETRY/SPACING' in path else None)
|
||||
|
||||
if base_group is None:
|
||||
|
|
@ -614,7 +596,7 @@ def DREAM3D_base_group(fname: Union[str, Path]) -> str:
|
|||
|
||||
return base_group
|
||||
|
||||
def DREAM3D_cell_data_group(fname: Union[str, Path]) -> str:
|
||||
def DREAM3D_cell_data_group(fname: _Union[str, _Path]) -> str:
|
||||
"""
|
||||
Determine the cell data group of a DREAM.3D file.
|
||||
|
||||
|
|
@ -634,10 +616,10 @@ def DREAM3D_cell_data_group(fname: Union[str, Path]) -> str:
|
|||
|
||||
"""
|
||||
base_group = DREAM3D_base_group(fname)
|
||||
with h5py.File(Path(fname).expanduser(),'r') as f:
|
||||
with _h5py.File(_Path(fname).expanduser(),'r') as f:
|
||||
cells = tuple(f['/'.join([base_group,'_SIMPL_GEOMETRY','DIMENSIONS'])][()][::-1])
|
||||
cell_data_group = f[base_group].visititems(lambda path,obj: path.split('/')[0] \
|
||||
if isinstance(obj,h5py._hl.dataset.Dataset) and np.shape(obj)[:-1] == cells \
|
||||
if isinstance(obj,_h5py._hl.dataset.Dataset) and _np.shape(obj)[:-1] == cells \
|
||||
else None)
|
||||
|
||||
if cell_data_group is None:
|
||||
|
|
@ -647,8 +629,8 @@ def DREAM3D_cell_data_group(fname: Union[str, Path]) -> str:
|
|||
|
||||
|
||||
def Bravais_to_Miller(*,
|
||||
uvtw: np.ndarray = None,
|
||||
hkil: np.ndarray = None) -> np.ndarray:
|
||||
uvtw: _np.ndarray = None,
|
||||
hkil: _np.ndarray = None) -> _np.ndarray:
|
||||
"""
|
||||
Transform 4 Miller–Bravais indices to 3 Miller indices of crystal direction [uvw] or plane normal (hkl).
|
||||
|
||||
|
|
@ -665,19 +647,19 @@ def Bravais_to_Miller(*,
|
|||
"""
|
||||
if (uvtw is not None) ^ (hkil is None):
|
||||
raise KeyError('specify either "uvtw" or "hkil"')
|
||||
axis,basis = (np.array(uvtw),np.array([[1,0,-1,0],
|
||||
[0,1,-1,0],
|
||||
[0,0, 0,1]])) \
|
||||
axis,basis = (_np.array(uvtw),_np.array([[1,0,-1,0],
|
||||
[0,1,-1,0],
|
||||
[0,0, 0,1]])) \
|
||||
if hkil is None else \
|
||||
(np.array(hkil),np.array([[1,0,0,0],
|
||||
[0,1,0,0],
|
||||
[0,0,0,1]]))
|
||||
return np.einsum('il,...l',basis,axis)
|
||||
(_np.array(hkil),_np.array([[1,0,0,0],
|
||||
[0,1,0,0],
|
||||
[0,0,0,1]]))
|
||||
return _np.einsum('il,...l',basis,axis)
|
||||
|
||||
|
||||
def Miller_to_Bravais(*,
|
||||
uvw: np.ndarray = None,
|
||||
hkl: np.ndarray = None) -> np.ndarray:
|
||||
uvw: _np.ndarray = None,
|
||||
hkl: _np.ndarray = None) -> _np.ndarray:
|
||||
"""
|
||||
Transform 3 Miller indices to 4 Miller–Bravais indices of crystal direction [uvtw] or plane normal (hkil).
|
||||
|
||||
|
|
@ -694,19 +676,19 @@ def Miller_to_Bravais(*,
|
|||
"""
|
||||
if (uvw is not None) ^ (hkl is None):
|
||||
raise KeyError('specify either "uvw" or "hkl"')
|
||||
axis,basis = (np.array(uvw),np.array([[ 2,-1, 0],
|
||||
[-1, 2, 0],
|
||||
[-1,-1, 0],
|
||||
[ 0, 0, 3]])/3) \
|
||||
axis,basis = (_np.array(uvw),_np.array([[ 2,-1, 0],
|
||||
[-1, 2, 0],
|
||||
[-1,-1, 0],
|
||||
[ 0, 0, 3]])/3) \
|
||||
if hkl is None else \
|
||||
(np.array(hkl),np.array([[ 1, 0, 0],
|
||||
[ 0, 1, 0],
|
||||
[-1,-1, 0],
|
||||
[ 0, 0, 1]]))
|
||||
return np.einsum('il,...l',basis,axis)
|
||||
(_np.array(hkl),_np.array([[ 1, 0, 0],
|
||||
[ 0, 1, 0],
|
||||
[-1,-1, 0],
|
||||
[ 0, 0, 1]]))
|
||||
return _np.einsum('il,...l',basis,axis)
|
||||
|
||||
|
||||
def dict_prune(d: Dict) -> Dict:
|
||||
def dict_prune(d: _Dict) -> _Dict:
|
||||
"""
|
||||
Recursively remove empty dictionaries.
|
||||
|
||||
|
|
@ -732,7 +714,7 @@ def dict_prune(d: Dict) -> Dict:
|
|||
return new
|
||||
|
||||
|
||||
def dict_flatten(d: Dict) -> Dict:
|
||||
def dict_flatten(d: _Dict) -> _Dict:
|
||||
"""
|
||||
Recursively remove keys of single-entry dictionaries.
|
||||
|
||||
|
|
@ -756,8 +738,8 @@ def dict_flatten(d: Dict) -> Dict:
|
|||
return new
|
||||
|
||||
|
||||
def tail_repack(extended: Union[str, Sequence[str]],
|
||||
existing: List[str] = []) -> List[str]:
|
||||
def tail_repack(extended: _Union[str, _Sequence[str]],
|
||||
existing: _List[str] = []) -> _List[str]:
|
||||
"""
|
||||
Repack tailing characters into single string if all are new.
|
||||
|
||||
|
|
@ -782,11 +764,11 @@ def tail_repack(extended: Union[str, Sequence[str]],
|
|||
|
||||
"""
|
||||
return [extended] if isinstance(extended,str) else existing + \
|
||||
([''.join(extended[len(existing):])] if np.prod([len(i) for i in extended[len(existing):]]) == 1 else
|
||||
([''.join(extended[len(existing):])] if _np.prod([len(i) for i in extended[len(existing):]]) == 1 else
|
||||
list(extended[len(existing):]))
|
||||
|
||||
|
||||
def aslist(arg: Union[IntCollection,int,None]) -> List:
|
||||
def aslist(arg: _Union[_IntCollection, int, None]) -> _List:
|
||||
"""
|
||||
Transform argument to list.
|
||||
|
||||
|
|
@ -801,7 +783,7 @@ def aslist(arg: Union[IntCollection,int,None]) -> List:
|
|||
Entity transformed into list.
|
||||
|
||||
"""
|
||||
return [] if arg is None else list(arg) if isinstance(arg,(np.ndarray,Collection)) else [arg]
|
||||
return [] if arg is None else list(arg) if isinstance(arg,(_np.ndarray,_Collection)) else [arg]
|
||||
|
||||
|
||||
####################################################################################################
|
||||
|
|
@ -834,11 +816,11 @@ class ProgressBar:
|
|||
self.total = total
|
||||
self.prefix = prefix
|
||||
self.bar_length = bar_length
|
||||
self.time_start = self.time_last_update = datetime.datetime.now()
|
||||
self.time_start = self.time_last_update = _datetime.datetime.now()
|
||||
self.fraction_last = 0.0
|
||||
|
||||
sys.stderr.write(f"{self.prefix} {'░'*self.bar_length} 0% ETA n/a")
|
||||
sys.stderr.flush()
|
||||
_sys.stderr.write(f"{self.prefix} {'░'*self.bar_length} 0% ETA n/a")
|
||||
_sys.stderr.flush()
|
||||
|
||||
def update(self,
|
||||
iteration: int) -> None:
|
||||
|
|
@ -846,17 +828,17 @@ class ProgressBar:
|
|||
fraction = (iteration+1) / self.total
|
||||
|
||||
if (filled_length := int(self.bar_length * fraction)) > int(self.bar_length * self.fraction_last) or \
|
||||
datetime.datetime.now() - self.time_last_update > datetime.timedelta(seconds=10):
|
||||
self.time_last_update = datetime.datetime.now()
|
||||
_datetime.datetime.now() - self.time_last_update > _datetime.timedelta(seconds=10):
|
||||
self.time_last_update = _datetime.datetime.now()
|
||||
bar = '█' * filled_length + '░' * (self.bar_length - filled_length)
|
||||
remaining_time = (datetime.datetime.now() - self.time_start) \
|
||||
remaining_time = (_datetime.datetime.now() - self.time_start) \
|
||||
* (self.total - (iteration+1)) / (iteration+1)
|
||||
remaining_time -= datetime.timedelta(microseconds=remaining_time.microseconds) # remove μs
|
||||
sys.stderr.write(f'\r{self.prefix} {bar} {fraction:>4.0%} ETA {remaining_time}')
|
||||
sys.stderr.flush()
|
||||
remaining_time -= _datetime.timedelta(microseconds=remaining_time.microseconds) # remove μs
|
||||
_sys.stderr.write(f'\r{self.prefix} {bar} {fraction:>4.0%} ETA {remaining_time}')
|
||||
_sys.stderr.flush()
|
||||
|
||||
self.fraction_last = fraction
|
||||
|
||||
if iteration == self.total - 1:
|
||||
sys.stderr.write('\n')
|
||||
sys.stderr.flush()
|
||||
_sys.stderr.write('\n')
|
||||
_sys.stderr.flush()
|
||||
|
|
|
|||
Loading…
Reference in New Issue