import os
import numpy as np
from utils import NumExt
np.random.seed(19)
def gen_golden_data(case_name, param):
dtype = param.dtype
row = param.row
valid_row = param.valid_row
col = param.col
valid_col = param.valid_col
if np.issubdtype(dtype, np.integer):
value_max = np.iinfo(dtype).max
value_min = np.iinfo(dtype).min
else:
value_max = np.finfo(dtype).max
value_min = np.finfo(dtype).min
key = np.random.uniform(low=value_min, high=value_max, size=(2)).astype(dtype)
counter = np.random.uniform(low=value_min, high=value_max, size=(4)).astype(dtype)
NumExt.write_array("key.bin", key, dtype)
NumExt.write_array("counter.bin", counter, dtype)
class TRandomParams:
def __init__(self, name, dtype, row, col, valid_row, valid_col):
self.name = name
self.dtype = dtype
self.row = row
self.valid_row = valid_row
self.col = col
self.valid_col = valid_col
def generate_case_name(param):
dtype_str = NumExt.get_short_type_name(param.dtype)
return f"TRANDOMTest.case_{dtype_str}_{param.row}x{param.col}_{param.valid_row}x{param.valid_col}"
if __name__ == "__main__":
script_dir = os.path.dirname(os.path.abspath(__file__))
testcases_dir = os.path.join(script_dir, "testcases")
if not os.path.exists(testcases_dir):
os.makedirs(testcases_dir)
case_params_list = [
TRandomParams("case01", np.uint32, 4, 256, 4, 256),
]
for i, param in enumerate(case_params_list):
case_name = generate_case_name(param)
if not os.path.exists(case_name):
os.makedirs(case_name)
original_dir = os.getcwd()
os.chdir(case_name)
gen_golden_data(case_name, param)
os.chdir(original_dir)