• lemmyngEnglish
    28·
    5 days ago

    The one on the right, but each branch wears its own pants like a JNCO Matryoshka doll.

    • Chozo@fedia.io
      7·
      5 days ago

      I’ve legit seen somebody wearing JNCOs within the last couple months. I think some people are trying to bring them back into style, and while I still won’t wear them, I’d love to see them come back, anyway.

      Honestly, I wanna see a lot of late 90s/early 00s fashion come back. I miss some of those looks.

      • Notyou@sopuli.xyz
        2·
        4 days ago

        Honestly, I wanna see a lot of late 90s/early 00s fashion come back. I miss some of those looks.

        I miss wearing flannels. It might have been more early 90s, but I’m slow to pick up trends.

      • v_krishna@lemmy.mlEnglish
        2·
        5 days ago

        I don’t think they are coming back for those of us who wore them originally but my 16 year old and lots of his friends freaking love them.

        • prettybunnys@sh.itjust.works
          1·
          4 days ago

          Just like the 60s came back in the 90s … the 90s are coming back in the 20s

          Hint: it’s related to the old clothes people’s parents have in Their closets

    • zaubentrucker@sopuli.xyz
      3·
      4 days ago

      Modeling a single pair of pants

      For the sake of the calculation, lets model the pants as a prism, where:

      • The top and Bottom surfaces are the front and back sides of the Pants with a surface of area A_t each.
      • The Prism would have some depth that d depends on how thicc the binary tree is. For this calculation, I assume that d is constant for all pants
      • The Pants have some outline that gives the circumference U of the prism

      Total fabric for a given pair of pants p would then be A_p = A_tp * 2 + U_p * d

      Nomenclature

      Lets denote the two ways of wearing the pants as:

      • W_1 | For a single pair of pants that covers the entire tree
      • W_c | For many smaller pants that each cover a single node and its outgoing edges

      First comparison

      We can already note that the amount of fabric that is used, for the two possible ways to wear the pants, will depend on how densely the branches of the tree are packed. Assuming a maximally densely packed tree (if such is possible), where there is no space in between any branches, we’d get a the same area for A_t on the single pants for W_1 and the sum of all A_tp over all little pants in W_c:

      A_tW1 = sum( A_tp ) for all pants p in W_c

      It’s clear then, that the area difference between W_1 and W_c then only depends on the circumference U_1 in W_1 VS the circumferences U_p in W_c. In this case, the sum of all U_p for each pair of pants p in W_c must be higher than U_1 in W_1, as long as the binary tree has a depth of at least two. This is because the pants would have to have to cover an exterior outline of at least U_1 and in addition there would interior borders between the pants.

      Therefore, for a maximally packed tree, W_1 would use less fabric than W_c. On the other hand, given a tree where the siblings would be far away from each other, there would be a lot of space between the siblings. This would then diminish the areas A_tp for the pants in W_c in comparison to A_1 in W_1. (I know this isn’t very rigorous here, but I don’t want to go into too much depth here)

      From this, we learn that the comparison of W_1 and W_c depends on the packing density of the pants.

      Packing density

      The packing density depends on the difference in branch length between children and parents within the tree. It also depends on the angle of the bottom branches to each other. For higher nodes, I’d assume that a node will always be horizontally aligned in the middle between it’s child nodes. Therefore, the angle is only dependent on the length of the legs for non-bottom nodes.

      I need to stop now as I’m hungry

      Maybe I’ll pick up where I left later.