feat: update dependencies to include numpy 1.25.x and Pennylane 0.33.x (

#457)

requirements.txt

@@ -1,28 +1,28 @@
-botocore==1.31.68
-awscli==1.29.68
-boto3==1.28.68
+botocore==1.31.84
+awscli==1.29.84
+boto3==1.28.84
 amazon-braket-default-simulator==1.20.1
 amazon-braket-pennylane-plugin==1.23.0
 amazon-braket-schemas==1.19.1.post0
 amazon-braket-sdk==1.63.0
 amazon-braket-algorithm-library==1.4.4
 cvxpy==1.4.1
-ipykernel==6.25.2
-jax==0.4.10
-jaxlib==0.4.10
+ipykernel==6.26.0
+jax==0.4.20
+jaxlib==0.4.20
 jinja2==3.1.2
 markupsafe==2.1.3
-matplotlib==3.8.0
-ml-dtypes==0.2.0
+matplotlib==3.8.1
+ml-dtypes==0.3.1
 mypy-extensions==1.0.0
-openfermion==1.5.1
+openfermion==1.5.1 # later versions pin scipy to a version that is incompatible
 openfermionpyscf==0.5
-optax==0.1.5
-numpy==1.23.5
-pandas==2.1.1
-pennylane==0.32.0
-PennyLane-Lightning==0.32.0
-qiskit-aer==0.12.2
+optax==0.1.7
+numpy==1.25.2
+pandas==2.1.3
+pennylane==0.33.1
+PennyLane-Lightning==0.33.1
+qiskit-aer==0.13.0
 qiskit_braket_provider==0.0.5
-qiskit-terra==0.25.2.1
-scipy==1.11.3
+qiskit-terra==0.45.0
+scipy==1.11.4

test/integ_tests/hybrid_jobs/0_Creating_your_first_Hybrid_Job/0_Creating_your_first_Hybrid_Job_mocks.py

@@ -39,9 +39,7 @@ def pre_run_inject(mock_utils):
         f.write(default_job_results)
     with tarfile.open("model.tar.gz", "w:gz") as tar:
         tar.add("results.json")
-    subprocess.run = subprocess_run
     subprocess.check_output = subprocess_check_output
-    subprocess.Popen = subprocess_open
 
     os.environ["AMZN_BRAKET_DEVICE_ARN"] = f"arn:aws:braket:{mocker.region_name}::device/qpu/arn/TestARN"
 
@@ -56,10 +54,6 @@ def post_run(tb):
     )
 
 
-def subprocess_run(*args, **kwargs):
-    return mock.Mock()
-
-
 def subprocess_check_output(*args, **kwargs):
     cmd = args[0]
     if cmd[0] == "docker" and cmd[1] == "cp" and cmd[3].startswith("braket-job"):
@@ -69,10 +63,3 @@ def subprocess_check_output(*args, **kwargs):
             f.write(default_job_results)
 
     return mock.Mock()
-
-
-def subprocess_open(*args, **kwargs):
-    open_mock = mock.Mock()
-    open_mock.stdout.readline.return_value.decode.return_value = "Successfully Tested"
-    open_mock.poll.return_value = 0
-    return open_mock