def create_param_dict(param_dict):
param_dict['<STR_LIT>'] = {}<EOL>param_dict['<STR_LIT>'] = {}<EOL>param_dict['<STR_LIT>'] ={}<EOL>param_dict['<STR_LIT>'] = {}<EOL>param_dict['<STR_LIT>'] = {}<EOL>param_dict['<STR_LIT>'] ={}<EOL>param_dict['<STR_LIT>'] ={}<EOL>param_dict['<STR_LIT>']={}<EOL>normal_dict = param_dict['<STR_LIT>']<EOL>normal_dict['<STR_LIT:string>'] = '<STR_LIT>'<EOL>normal_dict['<STR_LIT:int>'] = <NUM_LIT><EOL>normal_dict['<STR_LIT>'] = <NUM_LIT><EOL>normal_dict['<STR_LIT>'] = <NUM_LIT><EOL>normal_dict['<STR_LIT:bool>'] =True<EOL>normal_dict['<STR_LIT>'] = <NUM_LIT:0><EOL>numpy_dict=param_dict['<STR_LIT>']<EOL>numpy_dict['<STR_LIT:string>'] = np.array(['<STR_LIT>', '<STR_LIT>', '<STR_LIT>'])<EOL>numpy_dict['<STR_LIT:int>'] = np.array([<NUM_LIT:1>,<NUM_LIT:2>,<NUM_LIT:3>,<NUM_LIT:4>])<EOL>numpy_dict['<STR_LIT>'] = np.array([<NUM_LIT:1.0>,<NUM_LIT>,<NUM_LIT>,<NUM_LIT>])<EOL>numpy_dict['<STR_LIT:bool>'] = np.array([True, False, True])<EOL>param_dict['<STR_LIT>']['<STR_LIT>'] = np.matrix([[<NUM_LIT:1.0>,<NUM_LIT>],[<NUM_LIT>,<NUM_LIT>]])<EOL>param_dict['<STR_LIT>']['<STR_LIT>'] = np.array([[[<NUM_LIT:1.0>,<NUM_LIT>],[<NUM_LIT>,<NUM_LIT>]],[[<NUM_LIT>,-<NUM_LIT>],[<NUM_LIT>,<NUM_LIT>]]])<EOL>spsparse_csc = spsp.lil_matrix((<NUM_LIT>,<NUM_LIT>))<EOL>spsparse_csc[<NUM_LIT:1>,<NUM_LIT:2>] = <NUM_LIT><EOL>spsparse_csc[<NUM_LIT:1>,<NUM_LIT:9>] = <NUM_LIT><EOL>spsparse_csc = spsparse_csc.tocsc()<EOL>spsparse_csr = spsp.lil_matrix((<NUM_LIT>,<NUM_LIT>))<EOL>spsparse_csr[<NUM_LIT:1>,<NUM_LIT:3>] = <NUM_LIT><EOL>spsparse_csr[<NUM_LIT>,<NUM_LIT>] = <NUM_LIT><EOL>spsparse_csr = spsparse_csr.tocsr()<EOL>spsparse_bsr = spsp.bsr_matrix(np.matrix([[<NUM_LIT:1>, <NUM_LIT:1>, <NUM_LIT:0>, <NUM_LIT:0>, <NUM_LIT:2>, <NUM_LIT:2>],<EOL>[<NUM_LIT:1>, <NUM_LIT:1>, <NUM_LIT:0>, <NUM_LIT:0>, <NUM_LIT:2>, <NUM_LIT:2>],<EOL>[<NUM_LIT:0>, <NUM_LIT:0>, <NUM_LIT:0>, <NUM_LIT:0>, <NUM_LIT:3>, <NUM_LIT:3>],<EOL>[<NUM_LIT:0>, <NUM_LIT:0>, <NUM_LIT:0>, <NUM_LIT:0>, <NUM_LIT:3>, <NUM_LIT:3>],<EOL>[<NUM_LIT:4>, <NUM_LIT:4>, <NUM_LIT:5>, <NUM_LIT:5>, <NUM_LIT:6>, <NUM_LIT:6>],<EOL>[<NUM_LIT:4>, <NUM_LIT:4>, <NUM_LIT:5>, <NUM_LIT:5>, <NUM_LIT:6>, <NUM_LIT:6>]]))<EOL>spsparse_dia = spsp.dia_matrix(np.matrix([[<NUM_LIT:1>, <NUM_LIT:0>, <NUM_LIT:3>, <NUM_LIT:0>],<EOL>[<NUM_LIT:1>, <NUM_LIT:2>, <NUM_LIT:0>, <NUM_LIT:4>],<EOL>[<NUM_LIT:0>, <NUM_LIT:2>, <NUM_LIT:3>, <NUM_LIT:0>],<EOL>[<NUM_LIT:0>, <NUM_LIT:0>, <NUM_LIT:3>, <NUM_LIT:4>]]))<EOL>param_dict['<STR_LIT>']['<STR_LIT>'] = spsparse_bsr<EOL>param_dict['<STR_LIT>']['<STR_LIT>'] = spsparse_csc<EOL>param_dict['<STR_LIT>']['<STR_LIT>'] = spsparse_csr<EOL>param_dict['<STR_LIT>']['<STR_LIT>'] = spsparse_dia<EOL>param_dict['<STR_LIT>']['<STR_LIT>'] = ()<EOL>param_dict['<STR_LIT>']['<STR_LIT:int>'] = (<NUM_LIT:1>,<NUM_LIT:2>,<NUM_LIT:3>)<EOL>param_dict['<STR_LIT>']['<STR_LIT:float>'] = (<NUM_LIT>,<NUM_LIT>,<NUM_LIT>)<EOL>param_dict['<STR_LIT>']['<STR_LIT:str>'] = ('<STR_LIT:1>','<STR_LIT>','<STR_LIT>')<EOL>param_dict['<STR_LIT>']['<STR_LIT>'] = []<EOL>param_dict['<STR_LIT>']['<STR_LIT>'] = [<NUM_LIT:1>,<NUM_LIT:2>,<NUM_LIT:3>]<EOL>param_dict['<STR_LIT>']['<STR_LIT>'] = [<NUM_LIT>,<NUM_LIT>,<NUM_LIT>]<EOL>param_dict['<STR_LIT>']['<STR_LIT>'] = ['<STR_LIT:1>','<STR_LIT>','<STR_LIT>']<EOL>param_dict['<STR_LIT>']['<STR_LIT:list>']= ['<STR_LIT:b>','<STR_LIT:h>', <NUM_LIT>, (), <NUM_LIT:0>]<EOL>param_dict['<STR_LIT>']['<STR_LIT:list>']= ['<STR_LIT:b>','<STR_LIT:h>', <NUM_LIT>, (), <NUM_LIT:1>]<EOL>param_dict['<STR_LIT>']['<STR_LIT:list>']= ['<STR_LIT:b>',[<NUM_LIT>,<NUM_LIT>], <NUM_LIT>, (),<NUM_LIT:2>]<EOL>
Fills a dictionary with some parameters that can be put into a trajectory.