from itertools import count
import numpy as np
from numpy import zeros, searchsorted, ravel
from pyNastran.utils.numpy_utils import integer_types
from pyNastran.op2.result_objects.op2_objects import get_times_dtype
from pyNastran.op2.tables.oes_stressStrain.real.oes_objects import OES_Object
from pyNastran.f06.f06_formatting import write_floats_13e, _eigenvalue_header
[docs]
class NonlinearGapStressArray(OES_Object):
def __init__(self, data_code, is_sort1, isubcase, dt):
OES_Object.__init__(self, data_code, isubcase, apply_data_code=True)
#self.code = [self.format_code, self.sort_code, self.s_code]
#self.ntimes = 0 # or frequency/mode
#self.ntotal = 0
self.ielement = 0
self.nelements = 0 # result specific
@property
def is_real(self) -> bool:
return True
@property
def is_complex(self) -> bool:
return False
@property
def is_stress(self) -> bool:
return True
@property
def nnodes_per_element(self) -> int:
return 1
def _reset_indices(self) -> None:
self.itotal = 0
self.ielement = 0
def _get_msgs(self):
msgs = [
' S T R E S S E S ( F O R C E S ) I N G A P E L E M E N T S ( C G A P )'
' '
' ELEMENT - F O R C E S I N E L E M S Y S T - - D I S P L A C E M E N T S I N E L E M S Y S T -'
' ID COMP-X SHEAR-Y SHEAR-Z AXIAL-U TOTAL-V TOTAL-W SLIP-V SLIP-W STATUS'
#' 3801 3.71080E+05 0.0 0.0 2.37879E-01 9.51516E-01 -5.55112E-17 9.51516E-01 -5.55112E-17 SLIDE '
]
return msgs
[docs]
def build(self):
"""sizes the vectorized attributes of the NonlinearGapStressArray"""
#print("self.ielement =", self.ielement)
#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
#if self.element_type == None?:
#nnodes_per_element = 1
#else:
#raise NotImplementedError(self.element_type)
self.itime = 0
self.ielement = 0
self.itotal = 0
#self.ntimes = 0
#self.nelements = 0
dtype, idtype, fdtype = get_times_dtype(self.nonlinear_factor, self.size, self.analysis_fmt)
if self.is_sort1:
ntimes = self.ntimes
ntotal = self.ntotal
else:
#print("NonlinearGapStressArray: name=%s type=%s ntimes=%s nelements=%s ntotal=%s" % (
#self.element_name, self.element_type,
#self.ntimes, self.nelements, self.ntotal))
ntotal = self.ntimes
ntimes = self.ntotal
nelements = self.ntimes
self.ntimes = ntimes
self.nelements = nelements
#print("-> ntimes=%s nelements=%s ntotal=%s" % (
#ntimes, nelements, ntotal))
_times = zeros(ntimes, dtype=self.analysis_fmt)
element = zeros(ntotal, dtype=idtype)
form = zeros(ntotal, dtype='|U8')
# [comp_x, shear_y, shear_z, axial_u, shear_v, shear_w, slip_v, slip_w]
data = zeros((ntimes, ntotal, 8), dtype=fdtype)
if self.load_as_h5:
#for key, value in sorted(self.data_code.items()):
#print(key, value)
group = self._get_result_group()
self._times = group.create_dataset('_times', data=_times)
self.element = group.create_dataset('element', data=element)
self.data = group.create_dataset('data', data=data)
self.form = group.create_dataset('form', data=form)
else:
self._times = _times
self.element = element
self.data = data
self.form = form
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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):
#Time 0.025 0.050
#ElementID Item
#899 compX 0.537281 0.851454
# shearY 0.000000 0.000000
# shearZ 0.000000 0.000000
# axialU 0.000005 0.000009
# shearV 0.000000 0.000000
# shearW 0.000000 0.000000
# slipV 0.000000 0.000000
# slipW 0.000000 0.000000
column_names, column_values = self._build_dataframe_transient_header()
data_frame = self._build_pandas_transient_elements(
column_values, column_names,
headers, self.element, self.data)
else:
data_frame = pd.Panel(self.data,
major_axis=self.element, minor_axis=headers).to_frame()
data_frame.columns.names = ['Static']
data_frame.index.names = ['ElementID', 'Item']
self.data_frame = data_frame
def __eq__(self, table): # pragma: no cover
assert self.is_sort1 == table.is_sort1
self._eq_header(table)
if not np.array_equal(self.form, table.form):
msg = 'table_name=%r class_name=%s\n' % (self.table_name, self.__class__.__name__)
msg += f'cur_form: {self.form}\n'
msg += f'old_form: {table.form}\n'
msg += '%s\n' % str(self.code_information())
raise ValueError(msg)
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, :]
(axial_stress1, equiv_stress1, total_strain1,
effective_plastic_creep_strain1, effective_creep_strain1,
linear_torsional_stress1) = t1
(axial_stress2, equiv_stress2, total_strain2,
effective_plastic_creep_strain2, effective_creep_strain2,
linear_torsional_stress2) = t2
if not np.allclose(t1, t2):
#if not np.array_equal(t1, t2):
msg += ('%s\n (%s, %s, %s, %s, %s, %s)\n '
'(%s, %s, %s, %s, %s, %s)\n' % (
eid,
axial_stress1, equiv_stress1, total_strain1,
effective_plastic_creep_strain1, effective_creep_strain1,
linear_torsional_stress1,
axial_stress2, equiv_stress2, total_strain2,
effective_plastic_creep_strain2, effective_creep_strain2,
linear_torsional_stress2))
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, comp_xi, shear_yi, shear_zi, axial_ui,
shear_vi, shear_wi, slip_vi, slip_wi, form):
"""unvectorized method for adding SORT1 transient data"""
assert self.sort_method == 1, self
assert isinstance(eid, integer_types) and eid > 0, 'dt=%s eid=%s' % (dt, eid)
self._times[self.itime] = dt
self.element[self.itotal] = eid
self.form[self.itotal] = form
self.data[self.itime, self.itotal, :] = [comp_xi, shear_yi, shear_zi, axial_ui,
shear_vi, shear_wi, slip_vi, slip_wi]
self.itotal += 1
self.ielement += 1
def add_sort2(self, dt, eid, comp_xi, shear_yi, shear_zi, axial_ui,
shear_vi, shear_wi, slip_vi, slip_wi, form):
"""unvectorized method for adding SORT2 transient data"""
assert self.sort_method == 2, self
assert isinstance(eid, integer_types) and eid > 0, 'dt=%s eid=%s' % (dt, eid)
itime = self.itotal
itotal = self.itime
ntimes = len(self._times)
ntotal = len(self.element)
#print(f'NonlinearGapStressArray: itime={itime}/{ntimes} itime={itotal}/{ntotal} -> eid={eid} dt={dt}')
self._times[itime] = dt
self.element[itotal] = eid
self.form[itotal] = form
self.data[itime, itotal, :] = [comp_xi, shear_yi, shear_zi, axial_ui,
shear_vi, shear_wi, slip_vi, slip_wi]
self.itotal += 1
#self.ielement += 1
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def get_stats(self, short: bool=False) -> list[str]:
if not self.is_built:
return [
f'<{self.__class__.__name__}>; table_name={self.table_name!r}\n',
f' ntimes: {self.ntimes:d}\n',
f' ntotal: {self.ntotal:d}\n',
]
nelements = self.ntotal
ntimes = self.ntimes
#ntotal = self.ntotal
nelements = self.ntotal
msg = []
if self.nonlinear_factor not in (None, np.nan): # transient
msg.append(f' type={self.__class__.__name__} ntimes={ntimes:d} nelements={nelements:d}; table_name={self.table_name}\n')
ntimes_word = 'ntimes'
else:
msg.append(f' type={self.__class__.__name__} nelements={nelements:d}; table_name={self.table_name}\n')
ntimes_word = '1'
headers = self.get_headers()
n = len(headers)
assert n == self.data.shape[2], 'nheaders=%s shape=%s' % (n, str(self.data.shape))
msg.append(' data: [%s, ntotal, %i] where %i=[%s]\n' % (ntimes_word, n, n, str(', '.join(headers))))
msg.append(f' element.shape = {self.element.shape}\n')
uform = np.unique(self.form)
msg.append(f' form.shape = {self.form.shape}; unique={uform}\n')
msg.append(f' data.shape = {self.data.shape}\n')
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):
# elements are always sorted; nodes are not
itot = searchsorted(eids, self.element) #[0]
return itot
[docs]
def eid_to_element_node_index(self, eids):
ind = ravel([searchsorted(self.element == eid) for eid in eids])
return ind
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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 = self._get_msgs()
(ntimes, ntotal) = self.data.shape[:2]
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))
#comp_x, shear_y, shear_z, axial_u, shear_v, shear_w, slip_v, slip_w
comp_x = self.data[itime, :, 0]
shear_y = self.data[itime, :, 1]
shear_z = self.data[itime, :, 2]
axial_u = self.data[itime, :, 3]
shear_v = self.data[itime, :, 4]
shear_w = self.data[itime, :, 5]
slip_v = self.data[itime, :, 6]
slip_w = self.data[itime, :, 7]
for (i, eid, comp_xi, shear_yi, shear_zi, axial_ui, shear_vi, shear_wi, slip_vi, slip_wi) in zip(
count(), eids, comp_x, shear_y, shear_z, axial_u, shear_v, shear_w, slip_v, slip_w):
vals = [comp_xi, shear_yi, shear_zi, axial_ui, shear_vi, shear_wi, slip_vi, slip_wi]
vals2 = write_floats_13e(vals)
[comp_xi, shear_yi, shear_zi, axial_ui,
shear_vi, shear_wi, slip_vi, slip_wi] = vals2
f06_file.write(
'0%8i %-13s %-13s %-13s %-13s %-13s %-13s %-13s %s\n'
% (eid, comp_xi, shear_yi, shear_zi, axial_ui,
shear_vi, shear_wi, slip_vi, slip_wi))
f06_file.write(page_stamp % page_num)
page_num += 1
if self.nonlinear_factor in (None, np.nan):
page_num -= 1
return page_num