Merge 7a7a9e4 into ad1f1dd

Qiskit · Mar 8, 2022 · 4afb96c · 4afb96c
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diff --git a/README.md b/README.md
@@ -1,5 +1,10 @@
 # Qiskit Runtime IBM Quantum Client
-[![License](https://img.shields.io/github/license/Qiskit/qiskit-ibm-runtime.svg?style=popout-square)](https://opensource.org/licenses/Apache-2.0)[![CI](https://github.com/Qiskit/qiskit-ibm-runtime/actions/workflows/ci.yml/badge.svg)](https://github.com/Qiskit/qiskit-ibm-runtime/actions/workflows/ci.yml)[![](https://img.shields.io/github/release/Qiskit/qiskit-ibm-runtime.svg?style=popout-square)](https://github.com/Qiskit/qiskit-ibm-runtime/releases)[![](https://img.shields.io/pypi/dm/qiskit-ibm-runtime.svg?style=popout-square)](https://pypi.org/project/qiskit-ibm-runtime/)[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)[![Coverage Status](https://coveralls.io/repos/github/Qiskit/qiskit-ibm-runtime/badge.svg?branch=main)](https://coveralls.io/github/Qiskit/qiskit-ibm-runtime?branch=main)
+[![License](https://img.shields.io/github/license/Qiskit/qiskit-ibm-runtime.svg?style=popout-square)](https://opensource.org/licenses/Apache-2.0)
+[![CI](https://github.com/Qiskit/qiskit-ibm-runtime/actions/workflows/ci.yml/badge.svg)](https://github.com/Qiskit/qiskit-ibm-runtime/actions/workflows/ci.yml)
+[![](https://img.shields.io/github/release/Qiskit/qiskit-ibm-runtime.svg?style=popout-square)](https://github.com/Qiskit/qiskit-ibm-runtime/releases)
+[![](https://img.shields.io/pypi/dm/qiskit-ibm-runtime.svg?style=popout-square)](https://pypi.org/project/qiskit-ibm-runtime/)
+[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
+[![Coverage Status](https://coveralls.io/repos/github/Qiskit/qiskit-ibm-runtime/badge.svg?branch=main)](https://coveralls.io/github/Qiskit/qiskit-ibm-runtime?branch=main)
 
 
 **Qiskit** is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.

diff --git a/docs/tutorials/02_introduction_legacy_runtime.ipynb b/docs/tutorials/02_introduction_legacy_runtime.ipynb
@@ -97,7 +97,7 @@
     "# Save account on disk.\n",
     "# IBMRuntimeService.save_account(auth=\"legacy\", token=<IBM Quantun API token>)\n",
     "\n",
-    "# The \"auth\" keyword is not needed if you have only 1 type (legacy or cloud) of account saved. \n",
+    "# The \"auth\" keyword is not needed if you have only 1 type (legacy or cloud) of account saved.\n",
     "service = IBMRuntimeService(auth=\"legacy\")"
    ]
   },

diff --git a/program_source/vqe/vqe.py b/program_source/vqe/vqe.py
@@ -361,7 +361,7 @@ def calibrate(
         avg_magnitudes /= steps
 
         if modelspace:
-            a = target_magnitude / (avg_magnitudes ** 2)
+            a = target_magnitude / (avg_magnitudes**2)
         else:
             a = target_magnitude / avg_magnitudes
 
@@ -513,7 +513,7 @@ def _point_samples(self, loss, x, eps, deltas1, deltas2):
                 self._nfev += 4
                 diff = results[i, 2] - results[i, 3]
                 diff -= results[i, 4] - results[i, 5]
-                diff /= 2 * eps ** 2
+                diff /= 2 * eps**2
 
                 rank_one = np.outer(deltas1[i], deltas2[i])
                 hessian_estimate += diff * (rank_one + rank_one.T) / 2

diff --git a/qiskit_ibm_runtime/ibm_runtime_service.py b/qiskit_ibm_runtime/ibm_runtime_service.py
@@ -483,7 +483,7 @@ def backends(
 
                     IBMRuntimeService.backends(
                         filters=lambda b: b.configuration().quantum_volume > 16)
-            kwargs: Simple filters that specify a ``True``/``False`` criteria in the
+            **kwargs: Simple filters that specify a ``True``/``False`` criteria in the
                 backend configuration or status.
                 An example to get the operational real backends::
 
@@ -1278,7 +1278,7 @@ def least_busy(
                     AccountProvider.backends(
                         filters=lambda b: b.configuration().quantum_volume > 16)
 
-            kwargs: Simple filters that specify a ``True``/``False`` criteria in the
+            **kwargs: Simple filters that specify a ``True``/``False`` criteria in the
                 backend configuration, backends status, or provider credentials.
                 An example to get the operational backends with 5 qubits::
 

diff --git a/requirements-dev.txt b/requirements-dev.txt
@@ -1,12 +1,13 @@
-mypy==0.812
-pylint==2.12.1
+mypy==0.931
+pylint==2.12.2
 vcrpy
-pproxy==2.1.8
+pproxy==2.7.8
 Sphinx>=1.8.3
 sphinx-rtd-theme>=0.4.0
 sphinx-tabs>=1.1.11
 sphinx-automodapi
 sphinx-autodoc-typehints
+matplotlib>=2.1
 jupyter
 jupyter-sphinx
 reno>=2.11.0
@@ -16,7 +17,7 @@ nbconvert>=5.3.1
 qiskit-aer
 websockets>=8
 scikit-quant;platform_system != 'Windows'
-black==21.11b1
+black==22.1.0
 coverage>=6.3
 pylatexenc
 mthree

diff --git a/test/unit/test_data_serialization.py b/test/unit/test_data_serialization.py
@@ -159,7 +159,7 @@ def test_coder_operators(self):
             StateFn(quantum_circuit, coeff=coeff_x),
             CircuitStateFn(quantum_circuit, is_measurement=True),
             DictStateFn("1" * 3, is_measurement=True),
-            VectorStateFn(np.ones(2 ** 3, dtype=complex)),
+            VectorStateFn(np.ones(2**3, dtype=complex)),
             OperatorStateFn(CircuitOp(QuantumCircuit(1))),
             SparseVectorStateFn(sparse),
             Statevector([1, 0]),