Black formate

src/qibotn/cutn.py

@@ -12,7 +12,6 @@ def eval(qibo_circ, datatype):
 
 
 def eval_tn_MPI(qibo_circ, datatype):
-    
     ncpu_threads = multiprocessing.cpu_count() // 2
     n_samples = 8
 
@@ -30,7 +29,9 @@ def eval_tn_MPI(qibo_circ, datatype):
     operands_interleave = myconvertor.state_vector_operands()
 
     network = cutn.Network(*operands_interleave, options=network_opts)
-    network.contract_path(optimize={'samples': n_samples, 'threads': ncpu_threads}) # Calculate optimal path, returns path and info
+    network.contract_path(
+        optimize={"samples": n_samples, "threads": ncpu_threads}
+    )  # Calculate optimal path, returns path and info
 
     result = network.contract()
 
@@ -41,16 +42,15 @@ def eval_tn_MPI(qibo_circ, datatype):
 
 
 if __name__ == "__main__":
-    
     from qibo.models import QFT
     import cupy as cp
     import numpy as np
 
-    num_qubits  = 10
+    num_qubits = 10
     swaps = True
     circ_qibo = QFT(num_qubits, swaps)
 
-    dtype="complex128"
+    dtype = "complex128"
     sv_mpi, rank = eval_tn_MPI(circ_qibo, dtype)
 
     if rank == 0: