Fix miscellaneous trivial typos (#1071)

This PR fixes random typos in the text of about three dozen files. The
typos were flagged by `codespell`, which I'm beginning to use in my own
pre-commit workflows. This is admittedly trivial stuff, but we may as
well fix these silly typos in the source and be done with it. With these
out of the way, we'll also be able to address
#908 (request for a
pre-commit hooks configuration) with a codespell check as one of the
hooks.

Author: mhucka

.github/workflows/ci-nightly-cirq-test.yaml

@@ -19,7 +19,7 @@
 # For testing, this workflow can be invoked manually from the GitHub page at
 # https://github.com/tensorflow/quantum/actions/workflows/ci-nightly-cirq-test.yaml
 # Clicking the "Run workflow" button there will present a form interface with
-# options for overridding some of the parameters for the run.
+# options for overriding some of the parameters for the run.
 
 # yamllint disable rule:line-length
 

.github/workflows/ci.yaml

@@ -118,7 +118,7 @@ jobs:
   # 2024-11-30 [mhucka] temporarily turning off leak-tests because it produces
   # false positives on GH that we can't immediately address. TODO: if updating
   # TFQ to use Clang and the latest TF does not resolve this, find a way to
-  # skip the handful of failing tests and renable the rest of the msan tests.
+  # skip the handful of failing tests and re-enable the rest of the msan tests.
   #
   # leak-tests:
   #   name: Memory Leak tests

configure.sh

@@ -201,7 +201,7 @@ fi
 
 write_bazelrc ""
 
-# The following supressions are for warnings coming from external dependencies.
+# The following suppressions are for warnings coming from external dependencies.
 # They're most likely inconsequential or false positives. Since we can't fix
 # them, we suppress the warnings to reduce noise. Note: single quotes are needed
 # for the first two so that the $ anchors are preserved in the .bazelrc file.

release/README.md

@@ -82,7 +82,7 @@ into the upstream repository before proceeding further.
 
     This will update the dependency versions in the file `requirements.txt` to
     the latest versions based on `requirements.in`. If this process fails, you
-    may have to iterate on adjusting the contraints in `requirements.in`
+    may have to iterate on adjusting the constraints in `requirements.in`
     followed by running `generate_requirements.sh` again until it succeeds.
 
 3.  If any changes were made to `requirements.in`, check the requirements listed

tensorflow_quantum/core/ops/batch_util.py

@@ -73,7 +73,7 @@ def on_job_result(self, job, result):
         self._ones[job_id] += parities[1]
 
     def collect(self, sampler):
-        """Synchronus collect."""
+        """Synchronous collect."""
         # See #562, this is a workaround to an event loop issue in the tutorials
         # see also:
         # https://stackoverflow.com/questions/55409641/asyncio-run-cannot-be-called-from-a-running-event-loop

tensorflow_quantum/core/ops/cirq_ops.py

@@ -437,7 +437,7 @@ def cirq_sample(programs, symbol_names, symbol_values, num_samples):
         symbol labeled 'b' and 1 into the symbol labeled 'c'. Then it would
         draw 100 samples from the circuit.
 
-        Note: In the case of circuits with varying size, all nonexistant
+        Note: In the case of circuits with varying size, all nonexistent
         samples for a particular circuit are padded with -2.
 
         Args:

tensorflow_quantum/core/ops/cirq_ops_test.py

@@ -295,7 +295,7 @@ def test_simulate_state_output_padding(self, op_and_sim, all_n_qubits):
         for circuit in circuit_batch:
             result = sim.simulate(circuit)
 
-            # density matricies should be zero everywhere except for the
+            # density matrices should be zero everywhere except for the
             # top left corner
             if isinstance(result, cirq.DensityMatrixTrialResult):
                 dm = result.final_density_matrix

tensorflow_quantum/core/ops/math_ops/fidelity_op.py

@@ -70,7 +70,7 @@ def fidelity(programs, symbol_names, symbol_values, other_programs):
             `programs`.
         symbol_values: `tf.Tensor` of real numbers with shape
             [batch_size, n_params] specifying parameter values to resolve
-            into the circuits specificed by programs, following the ordering
+            into the circuits specified by programs, following the ordering
             dictated by `symbol_names`.
         other_programs: `tf.Tensor` of strings with shape [batch_size, n_others]
             containing the string representations of the circuits with which to

tensorflow_quantum/core/ops/math_ops/inner_product_grad_test.py

@@ -122,7 +122,7 @@ def test_inner_product_grad_inputs(self):
         with self.assertRaisesRegex(tf.errors.InvalidArgumentError,
                                     'not found in reference circuit'):
             # other_programs tensor has the right type but operates on
-            # qubits that the reference ciruit doesn't have.
+            # qubits that the reference circuit doesn't have.
             new_qubits = [cirq.GridQubit(5, 5), cirq.GridQubit(9, 9)]
             new_circuits, _ = util.random_circuit_resolver_batch(
                 new_qubits, batch_size)
@@ -134,7 +134,7 @@ def test_inner_product_grad_inputs(self):
         with self.assertRaisesRegex(tf.errors.InvalidArgumentError,
                                     'not found in paired circuit'):
             # other_programs tensor has the right type but operates on
-            # qubits that the reference ciruit doesn't have.
+            # qubits that the reference circuit doesn't have.
             new_qubits = cirq.GridQubit.rect(1, n_qubits - 1)
             new_circuits, _ = util.random_circuit_resolver_batch(
                 new_qubits, batch_size)

tensorflow_quantum/core/ops/math_ops/inner_product_op.py

@@ -46,7 +46,7 @@ def _inner_product_grad(programs, symbol_names, symbol_values, other_programs,
             `programs`.
         symbol_values: `tf.Tensor` of real numbers with shape
             [batch_size, n_params] specifying parameter values to resolve
-            into the circuits specificed by programs, following the ordering
+            into the circuits specified by programs, following the ordering
             dictated by `symbol_names`.
         other_programs: `tf.Tensor` of strings with shape [batch_size, n_others]
             containing the string representations of the circuits with which to
@@ -122,7 +122,7 @@ def inner_product(programs, symbol_names, symbol_values, other_programs):
             `programs`.
         symbol_values: `tf.Tensor` of real numbers with shape
             [batch_size, n_params] specifying parameter values to resolve
-            into the circuits specificed by programs, following the ordering
+            into the circuits specified by programs, following the ordering
             dictated by `symbol_names`.
         other_programs: `tf.Tensor` of strings with shape [batch_size, n_others]
             containing the string representations of the circuits with which to