from typing import List
import numpy as np
from numpy import zeros, allclose
from pyNastran.utils.numpy_utils import integer_types
from pyNastran.op2.tables.oes_stressStrain.real.oes_objects import StressObject, StrainObject, OES_Object
from pyNastran.f06.f06_formatting import _eigenvalue_header #, get_key0
[docs]class RandomShearArray(OES_Object):
def __init__(self, data_code, is_sort1, isubcase, dt):
OES_Object.__init__(self, data_code, isubcase, apply_data_code=False)
#self.code = [self.format_code, self.sort_code, self.s_code]
self.nelements = 0 # result specific
#if is_sort1:
#self.add_new_eid = self.add_new_eid_sort1
#else:
#raise NotImplementedError('SORT2')
@property
def is_real(self):
return True
@property
def is_complex(self):
return False
def _reset_indices(self):
self.itotal = 0
self.ielement = 0
def _get_msgs(self):
raise NotImplementedError()
[docs] def get_headers(self):
raise NotImplementedError()
[docs] def build(self):
"""sizes the vectorized attributes of the RealShearArray"""
#print('ntimes=%s nelements=%s ntotal=%s' % (self.ntimes, self.nelements, self.ntotal))
assert self.ntimes > 0, 'ntimes=%s' % self.ntimes
assert self.nelements > 0, 'nelements=%s' % self.nelements
assert self.ntotal > 0, 'ntotal=%s' % self.ntotal
#self.names = []
self.nelements //= self.ntimes
self.itime = 0
self.ielement = 0
self.itotal = 0
#self.ntimes = 0
#self.nelements = 0
self.is_built = True
#print("ntimes=%s nelements=%s ntotal=%s" % (self.ntimes, self.nelements, self.ntotal))
dtype = 'float32'
if isinstance(self.nonlinear_factor, integer_types):
dtype = 'int32'
self._times = zeros(self.ntimes, dtype=dtype)
self.element = zeros(self.nelements, dtype='int32')
# [max_shear, avg_shear]
self.data = zeros((self.ntimes, self.ntotal, 2), dtype='float32')
[docs] def build_dataframe(self):
"""creates a pandas dataframe"""
import pandas as pd
headers = self.get_headers()
if self.nonlinear_factor not in (None, np.nan):
column_names, column_values = self._build_dataframe_transient_header()
self.data_frame = pd.Panel(self.data, items=column_values,
major_axis=self.element, minor_axis=headers).to_frame()
self.data_frame.columns.names = column_names
self.data_frame.index.names = ['ElementID', 'Item']
else:
self.data_frame = pd.Panel(self.data, major_axis=self.element, minor_axis=headers).to_frame()
self.data_frame.columns.names = ['Static']
self.data_frame.index.names = ['ElementID', 'Item']
def __eq__(self, table): # pragma: no cover
assert self.is_sort1 == table.is_sort1
self._eq_header(table)
if not np.array_equal(self.data, table.data):
msg = 'table_name=%r class_name=%s\n' % (self.table_name, self.__class__.__name__)
msg += '%s\n' % str(self.code_information())
ntimes = self.data.shape[0]
i = 0
if self.is_sort1:
for itime in range(ntimes):
for ieid, eid, in enumerate(self.element):
t1 = self.data[itime, ieid, :]
t2 = table.data[itime, ieid, :]
(max_shear1, avg_shear1) = t1
(max_shear2, avg_shear2) = t2
if not allclose(t1, t2):
#if not np.array_equal(t1, t2):
msg += '%s\n (%s, %s)\n (%s, %s)\n' % (
eid,
max_shear1, avg_shear1,
max_shear2, avg_shear2)
i += 1
if i > 10:
print(msg)
raise ValueError(msg)
else:
raise NotImplementedError(self.is_sort2)
if i > 0:
print(msg)
raise ValueError(msg)
return True
def add_sort1(self, dt, eid, max_shear, avg_shear):
"""
ELEMENT MAX AVG ELEMENT MAX AVG
ID. SHEAR SHEAR ID. SHEAR SHEAR
328 1.721350E+03 1.570314E+03
"""
self._times[self.itime] = dt
self.element[self.ielement] = eid
self.data[self.itime, self.ielement, :] = [max_shear, avg_shear]
self.ielement += 1
[docs] def get_stats(self, short=False) -> List[str]:
if not self.is_built:
return [
'<%s>\n' % self.__class__.__name__,
' ntimes: %i\n' % self.ntimes,
' ntotal: %i\n' % self.ntotal,
]
nelements = self.nelements
ntimes = self.ntimes
#ntotal = self.ntotal
msg = []
if self.nonlinear_factor not in (None, np.nan): # transient
msg.append(' type=%s ntimes=%i nelements=%i\n'
% (self.__class__.__name__, ntimes, nelements))
ntimes_word = 'ntimes'
else:
msg.append(' type=%s nelements=%i\n'
% (self.__class__.__name__, nelements))
ntimes_word = '1'
msg.append(' eType\n')
headers = self.get_headers()
n = len(headers)
msg.append(' data: [%s, nnodes, %i] where %i=[%s]\n' % (ntimes_word, n, n, str(', '.join(headers))))
msg.append(' element.shape = %s\n' % str(self.element.shape).replace('L', ''))
msg.append(' data.shape = %s\n' % str(self.data.shape).replace('L', ''))
msg.append(' element type: %s\n' % self.element_name)
msg += self.get_data_code()
return msg
[docs] def get_f06_header(self):
raise NotImplementedError('CSHEAR...')
[docs] def write_f06(self, f06_file, header=None, page_stamp='PAGE %s',
page_num=1, is_mag_phase=False, is_sort1=True):
if header is None:
header = []
msg_temp = self.get_f06_header()
# write the f06
ntimes = self.data.shape[0]
eids = self.element
is_odd = False
nwrite = len(eids)
if len(eids) % 2 == 1:
nwrite -= 1
is_odd = True
for itime in range(ntimes):
dt = self._times[itime] # TODO: rename this...
header = _eigenvalue_header(self, header, itime, ntimes, dt)
f06_file.write(''.join(header + msg_temp))
#print("self.data.shape=%s itime=%s ieids=%s" % (str(self.data.shape), itime, str(ieids)))
max_shear = self.data[itime, :, 0]
avg_shear = self.data[itime, :, 1]
out = []
for eid, max_sheari, avg_sheari in zip(eids, max_shear, avg_shear):
#[max_sheari, avg_sheari] = write_floats_13e([max_sheari, avg_sheari])
out.append([eid, max_sheari, avg_sheari])
for i in range(0, nwrite, 2):
f06_file.write(' %8i %13s %13s %8i %13s %s\n' % (
tuple(out[i] + out[i + 1])))
if is_odd:
f06_file.write(' %8i %13s %s\n' % tuple(out[-1]))
f06_file.write(page_stamp % page_num)
page_num += 1
return page_num - 1
[docs]class RandomShearStressArray(RandomShearArray, StressObject):
def __init__(self, data_code, is_sort1, isubcase, dt):
RandomShearArray.__init__(self, data_code, is_sort1, isubcase, dt)
StressObject.__init__(self, data_code, isubcase)
[docs] def get_headers(self) -> List[str]:
headers = ['max_shear', 'avg_shear']
return headers
[docs] def get_f06_header(self):
msg = [
' S T R E S S E S I N S H E A R P A N E L S ( C S H E A R )\n'
' ELEMENT MAX AVG ELEMENT MAX AVG \n'
' ID. SHEAR SHEAR ID. SHEAR SHEAR\n'
#' 328 1.721350E+03 1.570314E+03
]
return msg
[docs]class RandomShearStrainArray(RandomShearArray, StrainObject):
def __init__(self, data_code, is_sort1, isubcase, dt):
RandomShearArray.__init__(self, data_code, is_sort1, isubcase, dt)
StrainObject.__init__(self, data_code, isubcase)
[docs] def get_headers(self) -> List[str]:
headers = ['max_shear', 'avg_shear']
return headers
[docs] def get_f06_header(self):
msg = [
' S T R A I N S I N S H E A R P A N E L S ( C S H E A R )\n'
' ELEMENT MAX AVG ELEMENT MAX AVG \n'
' ID. SHEAR SHEAR ID. SHEAR SHEAR\n'
#' 328 1.721350E+03 1.570314E+03 7.2E+01'
]
return msg