Bulk loading items saves time cost for generic "pick up(g)" process

[lispcoc]

Summary

Balance "Bulk loading items saves time cost for generic pick up(g) process"

Purpose of change

Follow up #68214

Describe the solution

Apply same solution as #68214 to "pick up" action
Additionally, in #68214 there was an issue where the cost of moving large items was underestimated.
This time I will address this issue to some extent by placing a limit on the capacity that can be loaded in bulk. Although not implemented in this PR, we plan to backport it later to the Insert action as well.

Describe alternatives you've considered

I think it would be better to review the conventional "pick up" processing and redirect it to "insert" processing, but I gave up because the "pick up" processing is very complicated.
Please let me know if there is a better way

Testing

Pick up items from adjacent tiles

1000 salts (5 L)
Before: 30:00
After: 00:54

100 apples (23 L)
Before: 3:11
After: 3:11

Additional context

[GuardianDll]

i have a huge doubts one can pick up a hundreds apples in 13 seconds

[lispcoc]

i have a huge doubts one can pick up a hundreds apples in 13 seconds

I also had my doubts about the time taken to pick up larger items.
This comes from the following cost formula defined in item_handling_cost() in character.cpp

cost = min( 200, item_volume / 20_ml )

Changing the 20_ml coefficient can solve the problem that the effect of volume on time is underestimated, but item_handling_cost() is also used for things such as the cost of taking out weapons, so this is not recommended.

My interpretation of this PR is that time can be saved by ignoring the overhead of moving to an adjacent tile or opening a container for subsequent items.
As an alternative approach, I think that the underestimation of bulky items could be overcome to some extent by making the net bonus of ignoring this overhead stop working each time a certain volume is exceeded.

Below is an example

Limit volume	1000 ml	500 ml	250 ml	200 ml
1000 salts (5 L)	0:20	0:29	0:47	0:54
100 apples (23 L)	0:50	1:15	1:43	3:11