## identical sets == False anyone know why?

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I created a code that compares between sets, when I intersect between two sets, I want to check if they are the same. However the last line of code that does the check returns false, does anyone know why?

x = ['bomb', 'lock', 'clock'] y = ['bomb', 'lock', 'clock'] def cards_intersect(card1, card2): card1 = set(card1) #turning cards into sets card2 = set(card2) return card1.intersection(card2) # return intersection of sets print(x) print(cards_intersect(x, y)) print(cards_intersect(x, y) == x) #why false?

The `cards_intersect`

function only changes card1, card2 inside the function's scope. Therefore when you are comparing `cards_intersect(x, y)`

which returns a **set**, to the **list** `x`

- you get `false`

.
You can compare in the following way:

print(cards_intersect(x, y) == set(x))

**identical,** It may well be too strict to set attrib.as.set = FALSE . Users often use the comparison operators, such as == or != , in these situations. If ignore.bytecode is true (the default), the compiled bytecode of a function (see cmpfun ) will be ignored in� Mono means one and zygote means a cell that's formed by an egg plus a sperm—so identical twins are created when a single zygote splits into two. As the two zygotes travel to the uterus, they each continue to divide and grow. Scientists don't know what causes a single zygote to separate into two individual ones.

As you can see from your `print`

statements

['bomb', 'lock', 'clock'] {'bomb', 'lock', 'clock'}

`x`

and `cards_intersect(x, y)`

are different. The first one is a list, the second one is a set. You may want to compare two sets:

print(set(x) == cards_intersect(x,y)) # True

**Sets in Python – Real Python,** You'll see how to define set objects in Python and discover the operations that they support and by the x = set() >>> bool(x) False >>> x or 1 1 >>> x and 1 set () A proper subset is the same as a subset, except that the sets can't be identical. We may be identical twins but we are very different in many ways." Such a divergence might seem odd. After all, as identical twins, the pair have exactly the same genes. They are clones of each other.

`cards_intersect(x, y)`

and x has different type.

`type(cards_intersect(x, y))`

is `set`

, `type(x)`

is `list`

.

It is like the difference between `1`

and `'1'`

**Equality comparisons and sameness,** Loose equality is symmetric: A == B always has identical semantics to B == A for We can see that with double and triple equals, with the exception of doing a For example, someone might say that double equals is an extended Notice that if Object.is(NaN, NaN) evaluated to false , we could say that it� Note: until the next release of pandas, to avoid the warning about how the sort argument will be set in the future, just add the sort=False argument. As below: df_diff = pd.concat([df1,df2], sort=False).drop_duplicates(keep=False)

**Comparisons,** Equals: a == b , please note the double equality sign == means the To see whether a string is greater than another, JavaScript uses the Otherwise, if both strings' first characters are the same, compare the second characters the same way. For boolean values, true becomes 1 and false becomes 0 . Identical twins can help answer this type of question. For example, we know that identical twins can be different heights. This means height can't be controlled by your genes alone, because identical twins have the same genes. So height must be part nature and part nurture. On the other hand, identical twins almost always have the same eye color.

**4.2. Operators that return Boolean results — python_for_ss 0.1.1 ,** The first thing to know is the operators that always return Booleans. Usually used to compare objects of the same type, or results can be surprising. Otherwise, returns False . x == y : Returns True if Python object x is the For example, if a variable is set to the result of these tests, that variable will have a Boolean value:. For example, the probability of an identical test when all items are answered correctly is 1 (as in the first row of the table). But, the probability of an identical test when all but one or two questions are answered correctly may be as high as .10 or .25 (see the second and fourth rows of the table).

**Determine equality - MATLAB eq ==,** A == B returns a logical array with elements set to logical 1 ( true ) where arrays A and B are equal; otherwise, the element is logical 0 ( false ). The test compares� The famous identity-swapping tricks played by twins have met their match. Sporting the same DNA, and thus matching physical features, identical twins can get away with duping friends and family.

##### Comments

`x`

is a list and`cards_intersect(x, y)`

is a set,`['bomb', 'lock', 'clock'] != set(['bomb', 'lock', 'clock'])`

.`card1 = set(card1)`

is only changing anything*inside*the function.- set is unordered, so even if you convert set to list and compare, it can give False,
`print(list(cards_intersect(x, y)) == x)`

is also`False`

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