i have tried all way. But i am not able to get any right answers.Input :kmeans= KMeans(n_clusters=2)

input = kmeans = KMeans(n_clusters=2,random_state= 365).fit(x)

output = l In[33], line 1 ----> 1 kmeans = KMeans(n_clusters=2,random_state= 365).fit(x)  File ~/anaconda3/lib/python3.11/site-packages/sklearn/cluster/_kmeans.py:1455, in KMeans.fit(self, X, y, sample_weight)  1453 else:  1454 kmeans_single = _kmeans_single_lloyd -> 1455 self._check_mkl_vcomp(X, X.shape[0])  1457 best_inertia, best_labels = None, None  1459 for i in range(self._n_init):  1460 # Initialize centers  File ~/anaconda3/lib/python3.11/site-packages/sklearn/cluster/_kmeans.py:911, in _BaseKMeans._check_mkl_vcomp(self, X, n_samples)  909 n_active_threads = int(np.ceil(n_samples / CHUNK_SIZE))  910 if n_active_threads < self._n_threads: --> 911 modules = threadpool_info()  912 has_vcomp = "vcomp" in [module["prefix"] for module in modules]  913 has_mkl = ("mkl", "intel") in [  914 (module["internal_api"], module.get("threading_layer", None))  915 for module in modules  916 ]  File ~/anaconda3/lib/python3.11/site-packages/sklearn/utils/fixes.py:150, in threadpool_info()  148 return controller.info()...
--> 646 config = get_config().split()  647 if config[0] == b"OpenBLAS":  648 return config[1].decode("utf-8")  AttributeError: 'NoneType' object has no attribute 'split'Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings...

I have also tried kmean.params

input = kmeans.get_params()

output = algorithm': 'lloyd',  'copy_x': True,  'init': 'k-means++',  'max_iter': 300,  'n_clusters': 2,  'n_init': 'warn',  'random_state': None,  'tol': 0.0001,  'verbose': 0}