Testing doc building

.pylintrc

@@ -2,20 +2,20 @@
 # A comma-separated list of package or module names from where C extensions may
 # be loaded. Extensions are loading into the active Python interpreter and may
 # run arbitrary code
-extension-pkg-whitelist=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag
+extension-pkg-whitelist=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag
 
 [TYPECHECK]
 
 # List of module names for which member attributes should not be checked
 # (useful for modules/projects where namespaces are manipulated during runtime
 # and thus existing member attributes cannot be deduced by static analysis. It
 # supports qualified module names, as well as Unix pattern matching.
-ignored-modules=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy
+ignored-modules=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy
 
 # List of classes names for which member attributes should not be checked
 # (useful for classes with attributes dynamically set). This supports can work
 # with qualified names.
-ignored-classes=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy,pennylane.numpy.random,pennylane.numpy.linalg,pennylane.numpy.builtins,pennylane.operation,rustworkx,kahypar
+ignored-classes=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy,pennylane.numpy.random,pennylane.numpy.linalg,pennylane.numpy.builtins,pennylane.operation,rustworkx,kahypar
 
 [MESSAGES CONTROL]
 

doc/development/guide/installation.rst

@@ -17,7 +17,6 @@ be installed alongside PennyLane:
 * `autograd <https://github.com/HIPS/autograd>`_
 * `toml <https://github.com/uiri/toml>`_
 * `appdirs <https://github.com/ActiveState/appdirs>`_
-* `semantic-version <https://github.com/rbarrois/python-semanticversion>`_ >= 2.7
 * `autoray <https://github.com/jcmgray/autoray>`__ >= 0.6.11
 * `packaging <https://github.com/pypa/packaging>`_
 

pennylane/__init__.py

@@ -21,7 +21,8 @@
 
 import numpy as _np
 
-from semantic_version import SimpleSpec, Version
+from packaging.specifiers import SpecifierSet
+from packaging.version import Version
 
 from pennylane.boolean_fn import BooleanFn
 import pennylane.numpy
@@ -387,7 +388,7 @@ def run_cnot():
 
  if hasattr(plugin_device_class, "pennylane_requires") and Version(
  version()
- ) not in SimpleSpec(plugin_device_class.pennylane_requires):
+ ) not in SpecifierSet(f"=={plugin_device_class.pennylane_requires}"):
  raise DeviceError(
  f"The {name} plugin requires PennyLane versions {plugin_device_class.pennylane_requires}, "
  f"however PennyLane version {__version__} is installed."

pennylane/numpy/random.py

@@ -15,18 +15,18 @@
 This package provides a wrapped version of autograd.numpy.random, such that
 it works with the PennyLane :class:`~.tensor` class.
 """
-import semantic_version
 from autograd.numpy import random as _random
 from numpy import __version__ as np_version
 from numpy.random import MT19937, PCG64, SFC64, Philox # pylint: disable=unused-import
+from packaging.specifiers import SpecifierSet
+from packaging.version import Version
 
 from .wrapper import tensor_wrapper, wrap_arrays
 
 wrap_arrays(_random.__dict__, globals())
 
 
-np_version_spec = semantic_version.SimpleSpec(">=0.17.0")
-if np_version_spec.match(semantic_version.Version(np_version)):
+if Version(np_version) in SpecifierSet(">=0.17.0"):
  # pylint: disable=too-few-public-methods
  # pylint: disable=missing-class-docstring
  class Generator(_random.Generator):

requirements-ci.txt

@@ -7,7 +7,6 @@ rustworkx
 autograd
 toml
 appdirs
-semantic_version
 packaging
 autoray>=0.6.1,<0.6.10
 matplotlib

requirements.txt

@@ -8,7 +8,6 @@ rustworkx~=0.12.1
 autograd~=1.4
 toml~=0.10
 appdirs~=1.4
-semantic_version~=2.10
 packaging
 autoray>=0.6.11
 matplotlib~=3.5

setup.py

@@ -28,7 +28,6 @@
  "autograd",
  "toml",
  "appdirs",
- "semantic-version>=2.7",
  "autoray>=0.6.11",
  "cachetools",
  "pennylane-lightning>=0.36",

tests/.pylintrc

@@ -2,20 +2,20 @@
 # A comma-separated list of package or module names from where C extensions may
 # be loaded. Extensions are loading into the active Python interpreter and may
 # run arbitrary code
-extension-pkg-whitelist=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag
+extension-pkg-whitelist=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag
 
 [TYPECHECK]
 
 # List of module names for which member attributes should not be checked
 # (useful for modules/projects where namespaces are manipulated during runtime
 # and thus existing member attributes cannot be deduced by static analysis. It
 # supports qualified module names, as well as Unix pattern matching.
-ignored-modules=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy
+ignored-modules=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy
 
 # List of classes names for which member attributes should not be checked
 # (useful for classes with attributes dynamically set). This supports can work
 # with qualified names.
-ignored-classes=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,semantic_version,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy,pennylane.numpy.random,pennylane.numpy.linalg,pennylane.numpy.builtins,pennylane.operation,rustworkx,kahypar
+ignored-classes=numpy,scipy,autograd,toml,appdir,autograd.numpy,autograd.numpy.linalg,autograd.numpy.builtins,packaging,torch,tensorflow,tensorflow.contrib,tensorflow.contrib.eager,LazyLoader,networkx,networkx.dag,math,pennylane.numpy,pennylane.numpy.random,pennylane.numpy.linalg,pennylane.numpy.builtins,pennylane.operation,rustworkx,kahypar
 
 [MESSAGES CONTROL]