The v3 variable is string value. I could not run with below code which gives error.
import numpy as npimport pandas as pdfrom numba.experimental import jitclassfrom numba import typesimport osos.environ['NUMBA_VERBOSE'] = '1'# ----- BEGINNING OF THE MODIFIED PART ----- #recordType = types.Record([ ('v', {'type': types.int64, 'offset': 0, 'alignment': None, 'title': None}), ('v2', {'type': types.float64, 'offset': 8, 'alignment': None, 'title': None}), ('v3', {'type': types.bytes, 'offset': 16, 'alignment': None, 'title': None})], 32, False)spec = [ ('data', types.Array(recordType, 1, 'C', False))]# ----- END OF THE MODIFIED PART ----- #@jitclass(spec)class Test: def __init__(self, data): self.data = data def loop(self): v = self.data['v'] v2 = self.data['v2'] v3 = self.data['v3'] print("Inside loop:") print("v:", v) print("v2:", v2) print("v3:", v3)# Create a dictionary with the datadata = {'v': [1, 2, 3], 'v2': [1.0, 2.0, 3.0], 'v3': ['a', 'b', 'c']}# Create the DataFramedf = pd.DataFrame(data)# Define the structured array dtypedtype = np.dtype([ ('v', np.int64), ('v2', np.float64), ('v3', 'S10') # Byte string with maximum length of 10 characters])print(df.to_records(index=False))# Create the structured arraydata_array = np.array(list(df.to_records(index=False)), dtype=dtype)print("Original data array:")print(data_array)# Create an instance of the Test classtest = Test(data_array)test.loop()Errors:
/home/totaljj/miniconda3/bin/conda run -n bt --no-capture-output python /home/totaljj/bt_lite_strategies/test/test_units/test_numba_obj.py Traceback (most recent call last): File "/home/totaljj/bt_lite_strategies/test/test_units/test_numba_obj.py", line 13, in <module> ('v3', {'type': types.bytes, 'offset': 16, 'alignment': None, 'title': None})AttributeError: module 'numba.core.types' has no attribute 'bytes'ERROR conda.cli.main_run:execute(124): `conda run python /home/totaljj/bt_lite_strategies/test/test_units/test_numba_obj.py` failed. (See above for error)Process finished with exit code 1,