from typing import List
import numpy as np
from numpy import zeros, searchsorted, allclose
from pyNastran.utils.numpy_utils import integer_types
from pyNastran.op2.result_objects.op2_objects import get_complex_times_dtype
from pyNastran.op2.tables.oes_stressStrain.real.oes_objects import (
StressObject, StrainObject, OES_Object)
from pyNastran.f06.f06_formatting import write_imag_floats_13e, _eigenvalue_header
[docs]class ComplexCBushArray(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
@property
def is_real(self) -> bool:
return False
@property
def is_complex(self) -> bool:
return True
def _reset_indices(self) -> None:
self.itotal = 0
self.ielement = 0
def _get_msgs(self):
raise NotImplementedError()
[docs] def build(self):
"""sizes the vectorized attributes of the ComplexCBushArray"""
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.nelements //= self.ntimes
self.itime = 0
self.ielement = 0
self.itotal = 0
self.is_built = True
#print("ntimes=%s nelements=%s ntotal=%s" % (self.ntimes, self.nelements, self.ntotal))
dtype, idtype, cfdtype = get_complex_times_dtype(self.nonlinear_factor, self.size)
self._times = zeros(self.ntimes, dtype=dtype)
self.element = zeros(self.nelements, dtype=idtype)
#[tx, ty, tz, rx, ry, rz]
self.data = zeros((self.ntimes, self.nelements, 6), dtype=cfdtype)
[docs] def build_dataframe(self):
"""creates a pandas dataframe"""
# Freq 0.0 2.5
# ElementID Item
# 10210 tx 0.010066-0.000334j 0.010066-0.000334j
# ty 0.000000+0.000000j 0.000000+0.000000j
# tz 0.431447-0.009564j 0.431461-0.009564j
# rx 0.000000+0.000000j 0.000000+0.000000j
# ry 0.000000+0.000000j 0.000000+0.000000j
# rz 0.000000+0.000000j 0.000000+0.000000j
# 10211 tx -0.000002+0.000000j -0.000002+0.000000j
headers = self.get_headers()
column_names, column_values = self._build_dataframe_transient_header()
self.data_frame = self._build_pandas_transient_elements(
column_values, column_names,
headers, self.element, self.data)
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, :]
(tx1, ty1, tz1, rx1, ry1, rz1) = t1
(tx2, ty2, tz2, rx2, ry2, rz2) = t2
d = t1 - t2
if not allclose([tx1.real, tx1.imag, ty1.real, ty1.imag],
[tx2.real, tx2.imag, ty2.real, ty2.imag], atol=0.0001):
#if not np.array_equal(t1, t2):
msg += '%-4s (%s, %sj, %s, %sj)\n (%s, %sj, %s, %sj)\n dt12=(%s, %sj, %s, %sj)\n' % (
eid,
tx1.real, tx1.imag, ty1.real, ty1.imag,
tx2.real, tx2.imag, ty2.real, ty2.imag,
d[0].real, d[0].imag, d[1].real, d[1].imag,)
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, tx, ty, tz, rx, ry, rz):
"""unvectorized method for adding SORT1 transient data"""
assert isinstance(eid, integer_types) and eid > 0, 'dt=%s eid=%s' % (dt, eid)
self._times[self.itime] = dt
self.element[self.ielement] = eid
self.data[self.itime, self.ielement, :] = [tx, ty, tz, rx, ry, rz]
self.ielement += 1
[docs] def get_stats(self, short: bool=False) -> List[str]:
if not self.is_built:
return [
'<%s>\n' % self.__class__.__name__,
f' ntimes: {self.ntimes:d}\n',
f' ntotal: {self.ntotal:d}\n',
]
ntimes, nelements, _ = self.data.shape
assert self.ntimes == ntimes, 'ntimes=%s expected=%s' % (self.ntimes, ntimes)
assert self.nelements == nelements, 'nelements=%s expected=%s' % (self.nelements, nelements)
msg = []
if self.nonlinear_factor not in (None, np.nan): # transient
msg.append(' type=%s ntimes=%i nelements=%i; table_name=%r\n' % (
self.__class__.__name__, ntimes, nelements, self.table_name))
ntimes_word = 'ntimes'
else:
msg.append(' type=%s nelements=%i; table_name=%r\n' % (
self.__class__.__name__, nelements, self.table_name))
ntimes_word = '1'
msg.append(' eType\n')
headers = self.get_headers()
n = len(headers)
msg.append(' data: [%s, nelements, %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(f' element type: {self.element_name}-{self.element_type}\n')
msg += self.get_data_code()
return msg
[docs] def get_element_index(self, eids):
itot = searchsorted(eids, self.element)
return itot
[docs] def eid_to_element_node_index(self, eids):
ind = searchsorted(eids, self.element)
return ind
[docs] def write_f06(self, f06_file, header=None, page_stamp: str='PAGE %s', page_num: int=1, is_mag_phase: bool=False, is_sort1: bool=True):
if header is None:
header = []
msg_temp = self.get_f06_header(is_mag_phase)
if self.is_sort1:
page_num = self._write_sort1_as_sort1(
header, page_stamp, page_num, f06_file, msg_temp, is_mag_phase)
else:
raise NotImplementedError()
return page_num
def _write_sort1_as_sort1(self, header, page_stamp, page_num, f06_file, msg_temp, is_mag_phase):
r"""
C:\\Users\\sdoyle\\Dropbox\\move_tpl\\ofprand1.op2
' C O M P L E X F O R C E S I N B U S H E L E M E N T S ( C B U S H ) '
' (REAL/IMAGINARY)'
' '
' FREQUENCY FORCE-X FORCE-Y FORCE-Z MOMENT-X MOMENT-Y MOMENT-Z '
'0 0.0 1.006599E-02 0.0 4.314467E-01 0.0 0.0 0.0'
' -3.338092E-04 0.0 -9.563536E-03 0.0 0.0 0.0'
"""
ntimes = self.data.shape[0]
eids = self.element
for itime in range(ntimes):
dt = self._times[itime]
header = _eigenvalue_header(self, header, itime, ntimes, dt)
f06_file.write(''.join(header + msg_temp))
tx = self.data[itime, :, 0]
ty = self.data[itime, :, 1]
tz = self.data[itime, :, 2]
rx = self.data[itime, :, 3]
ry = self.data[itime, :, 4]
rz = self.data[itime, :, 5]
for eid, itx, ity, itz, irx, iry, irz in zip(eids, tx, ty, tz, rx, ry, rz):
[txr, tyr, tzr, rxr, ryr, rzr,
txi, tyi, tzi, rxi, ryi, rzi] = write_imag_floats_13e([itx, ity, itz, irx, iry, irz], is_mag_phase)
#'0 1.000000E-01 0.0 2.912573E+00 0.0 0.0 0.0 0.0'
#' 0.0 179.9942 0.0 0.0 0.0 0.0'
f06_file.write(' %8i %-13s %-13s %-13s %-13s %-13s %s\n'
' %8s %-13s %-13s %-13s %-13s %-13s %s\n' % (
eid, txr, tyr, tzr, rxr, ryr, rzr,
'', txi, tyi, tzi, rxi, ryi, rzi))
f06_file.write(page_stamp % page_num)
page_num += 1
return page_num - 1
[docs] def write_op2(self, op2_file, op2_ascii, itable, new_result, date,
is_mag_phase=False, endian='>'):
"""writes an OP2"""
# see TestOP2.test_op2_other_01
import inspect
from struct import Struct, pack
frame = inspect.currentframe()
call_frame = inspect.getouterframes(frame, 2)
op2_ascii.write(f'{self.__class__.__name__}.write_op2: {call_frame[1][3]}\n')
if itable == -1:
self._write_table_header(op2_file, op2_ascii, date)
itable = -3
#if isinstance(self.nonlinear_factor, float):
#op2_format = '%sif' % (7 * self.ntimes)
#raise NotImplementedError()
#else:
#op2_format = 'i21f'
#s = Struct(op2_format)
eids = self.element
# table 4 info
#ntimes = self.data.shape[0]
#nnodes = self.data.shape[1]
nelements = self.data.shape[1]
# 21 = 1 node, 3 principal, 6 components, 9 vectors, 2 p/ovm
#ntotal = ((nnodes * 21) + 1) + (nelements * 4)
ntotali = self.num_wide
ntotal = ntotali * nelements
#print('shape = %s' % str(self.data.shape))
#assert self.ntimes == 1, self.ntimes
device_code = self.device_code
op2_ascii.write(f' ntimes = {self.ntimes}\n')
eids_device = self.element * 10 + self.device_code
#fmt = '%2i %6f'
#print('ntotal=%s' % (ntotal))
#assert ntotal == 193, ntotal
if self.is_sort1:
struct1 = Struct(endian + b'i12f')
else:
raise NotImplementedError('SORT2')
op2_ascii.write(f'nelements={nelements:d}\n')
for itime in range(self.ntimes):
#print('3, %s' % itable)
self._write_table_3(op2_file, op2_ascii, new_result, itable, itime)
# record 4
#print('stress itable = %s' % itable)
itable -= 1
#print('4, %s' % itable)
header = [4, itable, 4,
4, 1, 4,
4, 0, 4,
4, ntotal, 4,
4 * ntotal]
op2_file.write(pack('%ii' % len(header), *header))
op2_ascii.write('r4 [4, 0, 4]\n')
op2_ascii.write(f'r4 [4, {itable:d}, 4]\n')
op2_ascii.write(f'r4 [4, {4 * ntotal:d}, 4]\n')
tx = self.data[itime, :, 0]
ty = self.data[itime, :, 1]
tz = self.data[itime, :, 2]
rx = self.data[itime, :, 3]
ry = self.data[itime, :, 4]
rz = self.data[itime, :, 5]
for eid, itx, ity, itz, irx, iry, irz in zip(eids, tx, ty, tz, rx, ry, rz):
data = [
eid,
itx.real, ity.real, itz.real, irx.real, iry.real, irz.real,
itx.imag, ity.imag, itz.imag, irx.imag, iry.imag, irz.imag]
op2_ascii.write(' eid=%s data=%s\n' % (eids_device, str(data)))
op2_file.write(struct1.pack(*data))
itable -= 1
header = [4 * ntotal,]
op2_file.write(pack('i', *header))
op2_ascii.write('footer = %s\n' % header)
new_result = False
return itable
[docs]class ComplexCBushStressArray(ComplexCBushArray, StressObject):
def __init__(self, data_code, is_sort1, isubcase, dt):
ComplexCBushArray.__init__(self, data_code, is_sort1, isubcase, dt)
StressObject.__init__(self, data_code, isubcase)
[docs]class ComplexCBushStrainArray(ComplexCBushArray, StrainObject):
def __init__(self, data_code, is_sort1, isubcase, dt):
ComplexCBushArray.__init__(self, data_code, is_sort1, isubcase, dt)
StrainObject.__init__(self, data_code, isubcase)