You can use the random module's seed function to seed the random$-$number generator yourself$$this forces randrange to begin calculating its pseudorandom number sequence from the seed you specify. Choosing the same seed will cause the random number generator to generate the same sequence of random numbers.

In the following session, snippets $[2]$ and $[5]$ produce the same results purely by coincidence:

In $[1]$: random.seed$(32)$

In $[2]$: for roll in range$(10)$:

$...$: print$($random$.$randrange$(1,7),$ end$=\text{'}\text{'})$

$...$:

$1223624161$

In $[3]$: for roll in range$(10)$:

$...$: print$($random$.$randrange$(1,7),$ end$=\text{'}\text{'})$

$...$:

$1353156435$

In $[4]$: random.seed$(32)$

In $[5]$: for roll in range$(10)$:

$...$: print$($random$.$randrange$(1,7),$ end$=\text{'}\text{'})$

$...$:

$1223624161$

When you're debugging logic errors in programs that use randomly generated data, it can be helpful to use the same sequence of random numbers until you've eliminated the logic errors, before testing the program with other values.

Function randrange actually generates pseudorandom numbers, based on an internal calculation that begins with a numeric value known as a seed.