agoose77

import os
import hashlib
import argparse


def md5(fname):
    hash_md5 = hashlib.md5()
    count = 0
    with open(fname, "rb") as f:
        for chunk in iter(lambda: f.read(4096), b""):

agoose77

import os
import hashlib
import argparse

MAX_HASH = 500

def dump(hashes, f):
    as_str = "\n".join(["{},{},{}".format(*data) for data in hashes])
    f.write(as_str + "\n")
    hashes.clear()

agoose77

import time
from collections import deque


class Future:
    
    @property
    def is_done(self):
        raise NotImplementedError
    

agoose77

from contextlib import contextmanager
from collections import OrderedDict
from functools import partial
from itertools import chain


class CodeContext:
    current = None

    def __init__(self):

agoose77

class PeekableIter:

    def __init__(self, iterator):
        self._data = list(iterator)
        self._index = 0

    def __iter__(self):
        return self

    def __next__(self):

agoose77

from bge import logic
from functools import lru_cache


class InspectableProperty:
    
    def __init__(self, fget):
        self.fget = fget
        self.fset = None
            

agoose77

from bge import logic, types
from functools import lru_cache


class InspectableProperty:
    
    def __init__(self, fget):
        self.fget = fget
        self.fset = None
            

agoose77

%%
% Author: Robin Smith                 Date: 07/10/2015 %%%%
% Modified: Angus Hollands            Date: 19/02/2017 %%%%

% MULTIPLE GAUSSIAN PEAK FITTER WITH LINEAR BACKGROUND %%%%
%
% A code that reads in a Maestro .Spe file or an xy    %%%%
% column file containing a measured gamma spectrum.    %%%%
% It plots the data and allows the user to fit         %%%%
% multiple Gaussian peaks to regions of the spectrum.  %%%%

agoose77

agoose77

file_input: (type | NEWLINE)* ENDMARKER
type: 'Type' NAME ':' suite

suite: NEWLINE INDENT (body_stmt|NEWLINE)+ DEDENT

body_stmt: stmt | block

stmt: inline_stmt | declaration_stmt

# declaration stmts