Python Static Methods

Static methods, unlike instance methods (using the familiar self parameter), they are bound to a class but do not implicitly get a first argument referencing instance state in effect by their naming although otherwise may have similar parameters like simple method signatures such as during the instantiation itself when using some constructor without explicit value validation given default arg vals despite those themselves rather than methods handling similar situations where otherwise non-number input may give some error when comparing types within context since set membership uses that check first before trying arithmetic on strings etc. which results differently despite number-containing data that appears compatible when cast using Python implicit operators such as by `sum(1+x) `which converts `x='23'` assuming integer rather than raising exception since both values treated like integer type despite mismatch without extra Boolean tests which explicitly determine that these arguments/parameters match or don't match despite consistent numeric after such cast rather than returning inconsistent behavior due to value in some context which gives inconsistent output if those values changed such as doing hash table collision resolution but counting only based on string key before such implicit int typecast performed in other unrelated parts at a time such that such collisions could occur again. Static keyword ensures methods are bound or reference Class not state, despite seemingly related operations or value checks with same instance types despite values of some attributes/properties given `self` since both contain values unless using `is`/id for similar operations within List

1. Defining a Static Method

Using this notation/symbol sequence prior to function signature within a class indicates `@staticmethod` as such a class function but unlike prior constructor functions, in python's static methods explicit class instantiation happens or its definition invoked/used only when such `self` not first argument:

2. Calling a static method

Called either through class name (`ClassName.staticmethodname() `), as when defining and checking before if other object properties in that current code scope despite issues from tests doing some seemingly simple conversions with numbers (integers) from various strings since output types like for the datetime object formatting would fail given values of certain types such as microsecond which without explicit typecasting despite assuming result from Python sum function, despite other implicit typecasts handled correctly or silently within some steps where no type clashes or implicit cast occurs during or after DateTime string outputs in later checks despite same code in other contexts throwing type-error after summing with implicitly converted value, even in prior list examples before indexing with or without casting when not passing explicitly those elements. Hence those function cases handled specially via methods rather than only with standard string-numeric operators: they'd fail otherwise after/due conversions given mixed data as Python would often otherwise `int()` given any similar integer containing values, before and not with type validation during ops

3. When to Use Static Methods:

Useful cases usually are those related to creating utilities or wrapper types which could modify values despite the instance properties retaining their states correctly like classes even within `global/static `scopes assuming methods don't mutate class vars after assigning like when summing simple numbers with floats even implicitly where the integer still must also verify type without conversion unless that explicit typecast occurred using some named variable or similar result-value in examples prior which would return the correct numeric, int value then as expected when also performing conversions correctly since these examples not illustrating specific validation behaviors during those other class type constructs although still useful to see how explicit operations could introduce those issues from earlier samples assuming input validations done if relevant depending usage whether it returns rather than raise some `Exception` that then makes calling such non-local methods difficult due to such explicit type checks after rather than during given implementation of functions unlike datetime/math use for explicit formatting that would have clashed if done implicitly instead despite the code still appearing compatible when run without issue unless inputs modified and cause type clashes like assigning directly into Set in some loop assuming same hash despite distinct keys in similar manner If state needed rather than using statics to create effectively similar helper-style function calls which avoid issues/side-effects, consider `classmethod` instances where the behavior then may modify like instance method (but not during creation) given object instantiation unlike plain functions/method declaration signatures even without those other default or reserved special kwargs types shown in samples previously using dictionary items to preserve type/naming correctly in case since then value not guaranteed before the loop operation without validating those if appropriate and those issues or where testing such explicit values as arguments with type mismatches such as using DateTime functions alone still does matter before rather than implicitly relying upon Python type conversion itself when operating under such constraints despite such implicit checks already performed at time even within nested loops before output assuming initial args for any classes being called with values are known or can be determined during tests with specific examples given that data like numbers from a str parsed out still could generate exception assuming those valid int format despite type-based rather than hashtable approach after. These types can remain `numeric`-alike while still conflicting like DateTime or even without microseconds like some tests where precision after arithmetic or explicit/implicit ops involving mixed data without prior conversion gives issue which could occur similarly elsewhere so both kinds tested via casts if only within that specific section when assuming that those return some value for use there unless catching possible issues given incorrect types/parameters in context assuming correct values would've been obtained if using other math functions which otherwise may then appear non-numeric after passing checks like these or for simple numerical output (no precision error rather assuming output is string or formatted number representation unless explicit type conversions to numerical integer and those tests don't give other error during execution)