Use dictionary keys and associated values as wildcards in snakemake - dictionary

Question

I have a great number of analyses that need to be done in one go, and thus I thought that I can make a dictionary and parse the keys and values as wildcards (every snakemake run needs two wildcards to be used).
My dict will look like this:
myDict= {
"Apple": ["fruity","red","green"]
"Banana": ["fruity,"yellow"]
}
Here the first key in the dictionary will be wildcard1, here {Apple}, with the first value as wildcard2, here {fruity}, and run snakemake with these two until the final rule is has been run.
Then the same key will again be used ({Apple} as wildcard1) with the second associated value, here {red}, as wildcard2, and run snakemake until the last rule has been run.
Then after the final value belonging to {Apple} has been used as wildcard2, switch over to {Banana} as wildcard1 with its first value, {fruity} as wildcard2.
This will go on until all keys and their associated values have been used as wildcards and snakemake will stop. (That is keys as wildcard1, and their values as wildcard2).
My question is if this is possible, and if so, how can I achieve that?

Answer 1

I bet there is a way to do it with a single expand, but you can use a more verbose list comprehension. I'll take the files to be {wc1}_{wc2}.out for wildcards 1 and 2. Then you have
myDict= {
"Apple": ["fruity","red","green"],
"Banana": ["fruity","yellow"]
}
inputs = [expand('{wc1}_{wc2}.out',
wc1=key, wc2=value)
for key, value in myDict.items()]
# inputs = [['Apple_fruity.out', 'Apple_red.out', 'Apple_green.out'], ['Banana_fruity.out', 'Banana_yellow.out']]
rule all:
input: inputs
Edited to address comment:
To make two lists, keys and values, you can use
keys = []
values = []
for key, value in myDict.items():
for v in value:
keys.append(key)
values.append(v)
print(keys) # ['Apple', 'Apple', 'Apple', 'Banana', 'Banana']
print(values) # ['fruity', 'red', 'green', 'fruity', 'yellow']