Apply suggestions from CommonTypos checker (#817)

No change in code function.

docker/README.md

@@ -48,7 +48,7 @@ docker run -it openfermion_docker
 
 With this command the terminal enters a new environment which emulates Ubuntu with
 OpenFermion and accessories installed. To transfer files from somewhere on the disk to the Docker
-container, first run `docker ps` in a seperate terminal from the one running
+container, first run `docker ps` in a separate terminal from the one running
 Docker. This returns a list of running containers, e.g.:
 
 ```

docs/fqe/tutorials/diagonal_coulomb_evolution.ipynb

@@ -271,7 +271,7 @@
     "sz = 0\n",
     "fqe_wfn = fqe.Wavefunction([[n_elec, sz, norbs]])\n",
     "fqe_wfn.set_wfn(strategy='random')\n",
-    "inital_coeffs = fqe_wfn.get_coeff((n_elec, sz)).copy()\n",
+    "initial_coeffs = fqe_wfn.get_coeff((n_elec, sz)).copy()\n",
     "print(\"Random initial wavefunction\")\n",
     "fqe_wfn.print_wfn()"
    ]
@@ -363,7 +363,7 @@
    "source": [
     "fqe_wfn = fqe.Wavefunction([[n_elec, sz, norbs]])\n",
     "fqe_wfn.set_wfn(strategy='from_data',\n",
-    "                raw_data={(n_elec, sz): inital_coeffs})\n",
+    "                raw_data={(n_elec, sz): initial_coeffs})\n",
     "for term, coeff in diagonal_coulomb.terms.items():\n",
     "    op = of.FermionOperator(term, coefficient=coeff)\n",
     "    fqe_wfn = fqe_wfn.time_evolve(1, op)\n",

docs/fqe/tutorials/hamiltonian_time_evolution_and_expectation_estimation.ipynb

@@ -137,7 +137,7 @@
    "source": [
     "## Application of one- and two-body fermionic gates\n",
     "\n",
-    "The API for time propogation can be invoked through the fqe namespace or the wavefunction object"
+    "The API for time propagation can be invoked through the fqe namespace or the wavefunction object"
    ]
   },
   {

docs/tutorials/intro_to_openfermion.ipynb

@@ -646,7 +646,7 @@
     "id": "0aa06eb285b9"
    },
    "source": [
-    "The geometry data needed to generate MolecularData can also be retreived from the PubChem online database by inputting the molecule's name."
+    "The geometry data needed to generate MolecularData can also be retrieved from the PubChem online database by inputting the molecule's name."
    ]
   },
   {

src/openfermion/circuits/primitives/ffft.py

@@ -187,7 +187,7 @@ def fourier_transform_matrix(size):
         qubits: Sequence of qubits that the FFFT circuit will be generated for.
             This sequence represents a sequence of consecutive creation
             operators under big-endian encoded JWT representation. The indices
-            assignment is significant since it it used to define the FFFT
+            assignment is significant since it used to define the FFFT
             operation itself. The input sequence is assumed to have nearest
             neighbourhood connectivity.
 

src/openfermion/contrib/representability/_namedtensor.py

@@ -59,7 +59,7 @@ def __getitem__(self, indices):
 
     def __call__(self, *indices):
         """
-        Index into the the data by passing through the basis first
+        Index into the data by passing through the basis first
 
         :param indices: indices for the rev_bas
         :return: element of the data

src/openfermion/linalg/givens_rotations.py

@@ -112,7 +112,7 @@ def givens_rotate(operator, givens_rotation, i, j, which='row'):
 def double_givens_rotate(operator, givens_rotation, i, j, which='row'):
     """Apply a double Givens rotation.
 
-    Applies a Givens rotation to coordinates i and j and the the conjugate
+    Applies a Givens rotation to coordinates i and j and the conjugate
     Givens rotation to coordinates n + i and n + j, where
     n = dim(operator) / 2. dim(operator) must be even.
     """

src/openfermion/linalg/linear_qubit_operator.py

@@ -192,7 +192,7 @@ def _matvec(self, x):
 
 
 def apply_operator(args):
-    """Helper funtion to apply opeartor to a vector."""
+    """Helper function to apply operator to a vector."""
     operator, vec = args
     return operator * vec
 

src/openfermion/ops/representations/doci_hamiltonian.py

@@ -380,7 +380,7 @@ def get_projected_integrals(self):
            )
         )
 
-        but this method attemps to create integrals that conform to the
+        but this method attempts to create integrals that conform to the
         same symmetries as a physical electronic structure Hamiltonian would,
         with inevitable loss of information due to the ambiguity above.
 

src/openfermion/ops/representations/polynomial_tensor.py

@@ -28,7 +28,7 @@ class PolynomialTensorError(Exception):
 
 
 def general_basis_change(general_tensor, rotation_matrix, key):
-    r"""Change the basis of an general interaction tensor.
+    r"""Change the basis of a general interaction tensor.
 
     M'^{p_1p_2...p_n} = R^{p_1}_{a_1} R^{p_2}_{a_2} ...
                         R^{p_n}_{a_n} M^{a_1a_2...a_n} R^{p_n}_{a_n}^T ...
@@ -105,7 +105,7 @@ class PolynomialTensor(object):
     n_qubits x n_qubits matrix. Higher order terms would be described with
     tensors of higher dimension. Note that each tensor must have an even
     number of dimensions, since parity is conserved.
-    Much of the functionality of this class is redudant with FermionOperator
+    Much of the functionality of this class is redundant with FermionOperator
     but enables much more efficient numerical computations in many cases,
     such as basis rotations.
 

src/openfermion/resource_estimates/README.md

@@ -120,7 +120,7 @@ Which generate similar outputs, e.g. the above would generate tables in `double_
 More fine-grained control is given by subroutines that compute the factorization, the lambda values, and the cost estimates. For example, considering the double factorization, we could have
 
 ```python
-factorized_eris, df_factors, _, _ = df.factorize(mf._eri, cutoff_threshhold)
+factorized_eris, df_factors, _, _ = df.factorize(mf._eri, cutoff_threshold)
 df_lambda  = df.compute_lambda(mf, df_factors)
 _, number_toffolis, num_logical_qubits = df.compute_cost(num_spin_orbitals, df_lambda, *args)
 ```

src/openfermion/resource_estimates/thc/factorize_thc.py

@@ -21,7 +21,7 @@ def thc_via_cp3(eri_full,
     """
     THC-CP3 performs an SVD decomposition of the eri matrix followed by a CP
     decomposition via pybtas. The CP decomposition is assumes the tensor is
-    symmetric in in the first two indices corresponding to a reshaped
+    symmetric in the first two indices corresponding to a reshaped
     (and rescaled by the singular value) singular vector.
 
     Args:

src/openfermion/resource_estimates/thc/spacetime.py

@@ -199,7 +199,7 @@ def qubit_vs_toffoli(lam,
     # This is increasing the running number of permanent ancillas by 2 for the
     #  ν=M+1 flag qubit and the success flag qubit.
     perm = perm + 2
-    # The number of temporary qubits used in this computation is the the same
+    # The number of temporary qubits used in this computation is the same
     # as the number of Toffolis plus one.
     qu2 = perm + nM**2 + nM
     # The Toffoli cost of computing the contiguous register.

src/openfermion/transforms/opconversions/term_reordering.py

@@ -31,7 +31,7 @@ def chemist_ordered(fermion_operator):
     TODO: This routine can be made more efficient.
 
     Args:
-        fermion_operator (FermionOperator): a fermion operator guarenteed to
+        fermion_operator (FermionOperator): a fermion operator guaranteed to
             have number conserving one- and two-body fermion terms only.
     Returns:
         chemist_ordered_operator (FermionOperator): the input operator

src/openfermion/transforms/repconversions/qubit_operator_transforms.py

@@ -9,7 +9,7 @@
 #   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 #   See the License for the specific language governing permissions and
 #   limitations under the License.
-"""Useful miscelaneous functions to transform QubitOperators
+"""Useful miscellaneous functions to transform QubitOperators
 """
 
 import numpy

src/openfermion/transforms/repconversions/qubit_tapering_from_stabilizer.py

@@ -38,7 +38,7 @@ def check_commuting_stabilizers(stabilizer_list, msg, thres=EQ_TOLERANCE):
     If two stabilizers anti-commute their product
     will have an imaginary coefficient.
     This function checks the list of stabilizers (QubitOperator)
-    and raises and error if a complex number is found in
+    and raises an error if a complex number is found in
     any of the coefficients.
 
     Args:

src/openfermion/transforms/repconversions/weyl_ordering.py

@@ -130,7 +130,7 @@ def symmetric_ordering(operator, ignore_coeff=True, ignore_identity=True):
             the returned operator is always Hermitian.
             If set to False, then instead the coefficients are taken into
             account; S(q^m p^n) = a S(q^m p^n). In this case, if
-            a is a complex coefficient, it is not guaranteed that the
+            a is a complex coefficient, it is not guaranteed that
             the returned operator will be Hermitian.
         ignore_identity (bool): By default, identity terms are ignore;
             S(I) = 0. If set to False, then instead S(I) = I.