ExpHP

use std::marker::PhantomData;
use std::any::Any;
use erased_serde::{Error, Deserializer};
use serde_json::json;

/// Dummy type that concretely represents "an impl of Deserialize".
///
/// If you want to deserialize arbitrary types, you'll have to create a
/// `DeserializeImpl<T>` in a portion of code that knows which type needs to
/// be deserialized, and then unsize it to `dyn DeserializeOwned` to be handed

ExpHP

A commoner, human, cautiously walks down the street at nightfall holding a lantern, keeping an eye out for thieves. Suddenly, a voice booms from towards the city gates.

"CANDLE BEARER! Where are your vestments!"

The camera shifts to a glowing light in the distance, moving, growing nearer until it reveals itself to be a shield. The light from the shield partially illuminates the bearer: 4 and a half feet at best, and with a long, scraggly beard ending in a vaguely triangular shape at breast level. Clearly, a dwarf. It presses its face forward a slight bit so that the light from the shield reveals the stern look in its eyes.

The commoner breathes a heavy sigh. Oh, no. Not again.

The verbal onslaught continues. "That light is a blessing to us from ______, who you blaspheme by carrying it so thoughtlessly!"

ExpHP

use thiserror::Error;
use std::convert::{TryFrom, TryInto};
use std::collections::{VecDeque, HashMap};
use std::path::Path;

//==============================================================================

/// Represents an Intcode code file.
#[derive(Debug, Clone)]
pub struct Intcode {

ExpHP

Unfolding requirements

Unfolding the eigenvectors at a given K

• We must define a superlattice and sublattice.  Following physics naming convention, the superlattice corresponds to a supercell, making it a subgroup of the sublattice.

• We need the 3N eigenstates computed at a point K in the supercell FBZ.

• The rest of the details will depend significantly on the data format used to represent eigenstates. (For phonons, these are 3N-dimensional eigenvectors defining a 3-vector at each atom.)

ExpHP

Molotov

• Shrewd: +2
• Swift: +1
• Strong: 0
• Steady: -1

Panic:

• 1 Panic

ExpHP

Somebody spammed the following to a bajillion subreddits for different universities (just changing the name of the university in the first sentence). Most copies have been deleted, but it is preserved here for the fossil record

---

Why study maths at Lehigh University when they dont teach you that it is proven maths ends in meaninglessness/contradiction: 6 proofs/examples

http://gamahucherpress.yellowgum.com/wp-content/uploads/MATHEMATICS.pdf

http://gamahucherpress.yellowgum.com/wp-content/uploads/All-things-are-possible.pdf

ExpHP

/// Higher-order macro that iterates over a cartesian product.
///
/// Useful for generating impls involving opaque traits of the sort
/// sometimes seen used as bounds in public APIs.
///
/// It takes a number of groups of token trees and a suitable definition
/// for a callback macro, and it calls the macro with one token tree from
/// each group in order.
///
/// See the examples module in the source for example usage.

ExpHP

Tony Stuart

Status: Body beaten and unconscious, now currently just controlling a Jet Mason (which just looks like a shirtless Mason)

Idea: Prevent Weaver from escaping by getting a mental tether to him and sending water along it to flood his subconscious

Reminder: You have an uber powerful Joined move!

Game info

ExpHP

# This is crates.d/crates.toml

# Master config file for crates in this workspace.
#
# This is a homegrown solution (I'm sorry) to a number of
# annoying problems with using workspaces. Cargo.toml files
# in this workspace are generated from source files that
# contain lines like this:
#
#     !!rsp2-assert-close

ExpHP

import networkx as nx
from collections import defaultdict
import itertools
import planarity

def graph_from_adj(adj):
    G = nx.Graph()
    for (src, edges) in enumerate(adj):
        for dest in edges:
            G.add_edge(src, dest)