Create rule S6729: np.nonzero should be preferred over np.where when only the condition parameter is set. (#2966)

You can preview this rule
[here](https://sonarsource.github.io/rspec/#/rspec/S6729/python)
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## Review

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---------

Co-authored-by: joke1196 <joke1196@users.noreply.github.com>
Co-authored-by: David Kunzmann <david.kunzmann@sonarsource.com>

rules/S6729/metadata.json

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+{
+}

rules/S6729/python/metadata.json

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+{
+  "title": "np.nonzero should be preferred over np.where when only the condition parameter is set",
+  "type": "CODE_SMELL",
+  "status": "ready",
+  "remediation": {
+    "func": "Constant\/Issue",
+    "constantCost": "5min"
+  },
+  "tags": [
+    "numpy",
+    "data-science"
+  ],
+  "defaultSeverity": "Major",
+  "ruleSpecification": "RSPEC-6729",
+  "sqKey": "S6729",
+  "scope": "All",
+  "defaultQualityProfiles": ["Sonar way"],
+  "quickfix": "unknown",
+  "code": {
+    "impacts": {
+      "MAINTAINABILITY": "HIGH",
+      "RELIABILITY": "HIGH"
+    },
+    "attribute": "CONVENTIONAL"
+  }
+}

rules/S6729/python/rule.adoc

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+This rule raises an issue when ``++np.where++`` is used with only the condition parameter set.
+
+== Why is this an issue?
+
+The NumPy function ``++np.where++`` provides a way to execute operations on an array under a certain condition:
+
+[source,python]
+----
+import numpy as np
+
+arr = np.array([1,2,3,4])
+
+result = np.where(arr > 3, arr * 2, arr)
+----
+
+In the example above the ``++np.where++`` function will multiply all the elements in the array which satisfy the condition: ``++element > 3++`` by 2. 
+The elements that do not satisfy the condition will be left untouched.
+The ``++result++`` array holds now the values 1, 2, 3 and 8.
+
+It is also possible to call ``++np.where++`` with only the condition parameter set:
+
+[source,python]
+----
+import numpy as np
+
+arr = np.array([1,2,3,4])
+
+result = np.where(arr > 2)
+----
+
+Even though this is perfectly valid code in NumPy, it may not yield the expected results.
+
+When providing only the condition parameter to the ``++np.where++`` function, it will behave as ``++np.asarray(condition).nonzero()++`` or ``++np.nonzero(condition)++``. 
+Both these functions provide a way to find the indices of the elements satisfying the condition passed as parameter. 
+Be mindful that ``++np.asarray(condition).nonzero()++`` and ``++np.nonzero(condition)++`` do not return the *values* that satisfy the condition but only their *indices*.
+This means the ``++result++`` variable now holds a tuple 
+with the first element being an array of all the indices where the condition ``++arr > 2++`` was satisfied: ``++(array([2,3]),)++``.
+
+If the intention is to find the indices of the elements which satisfy a certain condition it is preferable to use the ``++np.asarray(condition).nonzero()++`` or ``++np.nonzero(condition)++`` function instead.
+
+
+== How to fix it
+
+To fix this issue either:
+
+* provide all three parameters to the ``++np.where++`` function (condition, value if the condition is satisfied, value if the condition is not satisfied) or,
+* use the ``++np.nonzero++`` function.
+
+=== Code examples
+
+==== Noncompliant code example
+
+[source,text,diff-id=1,diff-type=noncompliant]
+----
+import numpy as np
+
+def bigger_than_two():
+  arr = np.array([1,2,3,4])
+  result = np.where(arr > 2) # Noncompliant: only the condition parameter is provided to the np.where function.
+----
+
+==== Compliant solution
+
+[source,text,diff-id=1,diff-type=compliant]
+----
+import numpy as np
+
+def bigger_than_two():
+  arr = np.array([1,2,3,4])
+  result = np.where(arr > 2, arr + 1, arr) # Compliant
+  indices = np.nonzero(arr > 2) # Compliant
+----
+
+
+
+== Resources
+=== Documentation
+
+* NumPy Documentation - https://numpy.org/doc/stable/reference/generated/numpy.where.html#numpy-where[numpy.where]
+* NumPy Documentation - https://numpy.org/doc/stable/reference/generated/numpy.nonzero.html#numpy.nonzero[numpy.nonzero]
+