Fix formatting

Author: JanLuca

varipeps/corrlength/corrlength.py

@@ -9,7 +9,9 @@
 
 def calculate_correlation_length(unitcell: PEPS_Unit_Cell, num_eigvals: int = 8):
     if num_eigvals < 2:
-        raise ValueError("Number of eigenvalues must be at least two to compute the correlation length.")
+        raise ValueError(
+            "Number of eigenvalues must be at least two to compute the correlation length."
+        )
 
     initial_vector_left = apply_contraction_jitted(
         "corrlength_vector_left",
@@ -50,7 +52,9 @@ def left_matvec(vec):
         matvec=left_matvec,
     )
 
-    eig_left, eigvec_left = eigs(left_lin_op, k=num_eigvals, v0=initial_vector_left, which="LM")
+    eig_left, eigvec_left = eigs(
+        left_lin_op, k=num_eigvals, v0=initial_vector_left, which="LM"
+    )
 
     eig_left = eig_left[np.argsort(np.abs(eig_left))[::-1]]
     eig_left /= np.abs(eig_left[0])
@@ -80,7 +84,9 @@ def top_matvec(vec):
         matvec=top_matvec,
     )
 
-    eig_top, eigvec_top = eigs(top_lin_op, k=num_eigvals, v0=initial_vector_top, which="LM")
+    eig_top, eigvec_top = eigs(
+        top_lin_op, k=num_eigvals, v0=initial_vector_top, which="LM"
+    )
 
     eig_top = eig_top[np.argsort(np.abs(eig_top))[::-1]]
     eig_top /= np.abs(eig_top[0])

varipeps/corrlength/triangular_corrlength.py

@@ -7,9 +7,13 @@
 from varipeps.peps import PEPS_Unit_Cell
 
 
-def calculate_triangular_correlation_length(unitcell: PEPS_Unit_Cell, num_eigvals: int = 8):
+def calculate_triangular_correlation_length(
+    unitcell: PEPS_Unit_Cell, num_eigvals: int = 8
+):
     if num_eigvals < 2:
-        raise ValueError("Number of eigenvalues must be at least two to compute the correlation length.")
+        raise ValueError(
+            "Number of eigenvalues must be at least two to compute the correlation length."
+        )
 
     initial_vector_60 = apply_contraction_jitted(
         "triangular_ctmrg_corrlen_vec_60",
@@ -111,14 +115,18 @@ def matvec_180(vec):
 
     corr_len_60 = -1 / np.log(np.abs(eig_60[1]))
 
-    eig_120, eigvec_120 = eigs(lin_op_120, k=num_eigvals, v0=initial_vector_120, which="LM")
+    eig_120, eigvec_120 = eigs(
+        lin_op_120, k=num_eigvals, v0=initial_vector_120, which="LM"
+    )
 
     eig_120 = eig_120[np.argsort(np.abs(eig_120))[::-1]]
     eig_120 /= np.abs(eig_120[0])
 
     corr_len_120 = -1 / np.log(np.abs(eig_120[1]))
 
-    eig_180, eigvec_180 = eigs(lin_op_180, k=num_eigvals, v0=initial_vector_180, which="LM")
+    eig_180, eigvec_180 = eigs(
+        lin_op_180, k=num_eigvals, v0=initial_vector_180, which="LM"
+    )
 
     eig_180 = eig_180[np.argsort(np.abs(eig_180))[::-1]]
     eig_180 /= np.abs(eig_180[0])