Conditional probability between two random variables

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A conditional probability $P(X |Y)$ where $X$ and $Y$ are two random variables can be represented in a graphical way as:

Now, my question is: does $P(X=x|Y)$ make sense?

If the answer is affirmative, this means that $P(X=x|Y)$ is only a function of $Y$, then $P(X=x|Y) = f(Y)$?

Please, clarify with a clear example.

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"$P(X \mid Y)$ where $X$ and $Y$ are two random variables" makes no sense to me, so I will not discuss it.

But $P(X = x\mid Y)$ where $X$ and $Y$ are two random variables is a well-known notation (see https://en.wikipedia.org/wiki/Conditional_probability#Conditioning_on_a_random_variable). We have that $P(X = x\mid Y)$ is a random variable whose value depends on the random variable $Y.$ That is, when $Y$ takes on the value $y,$ then $P(X = x\mid Y)$ takes on the value $P(X = x\mid Y = y).$