Source code for pyNastran.op2.tables.oes_stressStrain.complex.oes_bush1d

from typing import List
import numpy as np

from pyNastran.utils.numpy_utils import integer_types
from pyNastran.op2.tables.oes_stressStrain.real.oes_objects import StressObject, OES_Object
from pyNastran.f06.f06_formatting import write_imag_floats_13e, _eigenvalue_header


[docs]class ComplexCBush1DArray(OES_Object): def __init__(self, data_code, is_sort1, isubcase, dt): aaa 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 get_headers(self): raise NotImplementedError()
[docs] def build(self): """sizes the vectorized attributes of the ComplexCBush1DArray""" 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 #print("ntimes=%s nelements=%s ntotal=%s" % (self.ntimes, self.nelements, self.ntotal)) dtype, idtype, fdtype = get_times_dtype(self.nonlinear_factor, self.size, self.analysis_fmt) self._times = np.zeros(self.ntimes, dtype=dtype) self.element = np.zeros(self.nelements, dtype='int32') #[tx, ty, tz, rx, ry, rz] self.data = np.zeros((self.ntimes, self.nelements, 6), dtype='complex64')
[docs] def build_dataframe(self): """creates a pandas dataframe""" import pandas as pd 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) #print(self.data_frame) #aa 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']
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 np.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(f' element.shape = {self.element.shape}\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): itot = np.searchsorted(eids, self.element) return itot
[docs] def eid_to_element_node_index(self, eids): ind = np.searchsorted(eids, self.element) return ind
[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(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): 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]class ComplexCBush1DStressArray(ComplexCBush1DArray, StressObject): def __init__(self, data_code, is_sort1, isubcase, dt): aaa ComplexCBush1DArray.__init__(self, data_code, is_sort1, isubcase, dt) StressObject.__init__(self, data_code, isubcase)
[docs] def get_headers(self) -> List[str]: headers = ['tx', 'ty', 'tz', 'rx', 'ry', 'rz'] return headers
[docs] def get_f06_header(self, is_mag_phase=True): #' C O M P L E X S T R E S S E S I N B U S H E L E M E N T S ( C B U S H ) ' #' ' #' FREQUENCY STRESS-TX STRESS-TY STRESS-TZ STRESS-RX STRESS-RY STRESS-RZ ' #'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' if self.element_type == 102: element_header = ' C O M P L E X S T R E S S E S I N B U S H E L E M E N T S ( C B U S H ) \n' #'' #' ' # #'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' else: raise NotImplementedError('element_name=%r element_type=%s' % (self.element_name, self.element_type)) if is_mag_phase: mag_phase = ' (MAGNITUDE/PHASE)\n \n' else: mag_phase = ' (REAL/IMAGINARY)\n \n' # not tested words = [ element_header, mag_phase, ' FREQUENCY STRESS-TX STRESS-TY STRESS-TZ STRESS-RX STRESS-RY STRESS-RZ \n', ' ID. FORCE\n',] return words