def defaultEnf(env):
env['sum'] = lambda *args: sum(args)
env['sqrt'] = lambda x: math.sqrt(x)
env['print'] = lambda *x: print(*x)
env['pprint'] = lambda *x: prettyPrint(*x)
env['car'] = lambda x: myCar(x)
env['cdr'] = lambda x: myCdr(x)
env['map'] = lambda x, y: list(map(x, y))
env['fold'] = lambda x, y: functools.reduce(x, y)
env['tensor'] = lambda x, y: np.kron(x, y).tolist()
env['apply'] = lambda x, y: np.dot(x, y).tolist()
env['outer'] = lambda x, y: np.outer(x, y)
env['measure'] = lambda x: quantumLib.measure(x)
env['subsystems'] = lambda state, configuration: quantumLib.splitToSub(
state, configuration)
env['eq'] = lambda x, y: x == y
env['append'] = lambda x, y: [x] + y
env['prepend'] = lambda x, y: y + [x]
env['⊗'] = lambda x, y: np.kron(x, y)
env['·'] = lambda x, y: np.dot(x, y)
env["-"] = lambda x, y: np.subtract(
x, y
) #numpy add/sub/mult/div works like regular for matrix AND numbers! no need for addMatrix etc
env["+"] = lambda x, y: np.add(x, y)
env["*"] = lambda x, y: np.multiply(x, y)
env["/"] = lambda x, y: np.divide(x, y)
env["="] = lambda x, y: x == y
env["<"] = lambda x, y: x < y
env["len"] = lambda x: len(x)
env["null?"] = lambda x: len(x) == 0
env["sqrt"] = lambda x: np.sqrt(x)
env["reverse"] = lambda x: list(reversed(x))
env["fold"] = lambda x, y: functools.reduce(x, y)
env["pi"] = math.pi
env["exp"] = np.exp #should add cleanExp like quantum parethesis
env["oracle"] = lambda fun: oracleLib.generateOracle(fun)
env["expm"] = lambda matrix: list(scipyAlg.expm(matrix))
env["logm"] = lambda matrix: list(scipyAlg.logm(matrix))
env["logTwo"] = lambda x: int(math.log(x, 2))
env["length"] = lambda x: len(x)
env["tensorOp"] = lambda x, y: np.kron(x, y)
env["applyN"] = lambda x, y, z: repeatedApp(x, y, z)
env["toInt"] = lambda x: int(x)
env["transpose"] = lambda x: (quantumLib.ctransp(x)).tolist()
def defaultEnf(env):
env["sum"] = lambda *args: sum(args)
env["sqrt"] = lambda x: math.sqrt(x)
env["print"] = lambda *x: print(*x)
env["pprint"] = lambda *x: prettyPrint(*x)
env["car"] = lambda x: myCar(x)
env["cdr"] = lambda x: myCdr(x)
env["map"] = lambda x, y: list(map(x, y))
env["fold"] = lambda x, y: functools.reduce(x, y)
env["tensor"] = lambda x, y: np.kron(x, y)
env["apply"] = lambda x, y: np.dot(x, y)
env["outer"] = lambda x, y: np.outer(x, y)
env["measure"] = lambda x: quantumLib.measure(x)
env["subsystems"] = lambda state, configuration: quantumLib.splitToSub(state, configuration)
env["eq"] = lambda x, y: x == y
env["append"] = lambda x, y: [x] + y
env["prepend"] = lambda x, y: y + [x]
env["⊗"] = lambda x, y: np.kron(x, y)
env["·"] = lambda x, y: np.dot(x, y)
env["-"] = lambda x, y: np.subtract(
x, y
) # numpy add/sub/mult/div works like regular for matrix AND numbers! no need for addMatrix etc
env["+"] = lambda x, y: np.add(x, y)
env["*"] = lambda x, y: np.multiply(x, y)
env["/"] = lambda x, y: np.divide(x, y)
env["="] = lambda x, y: x == y
env["len"] = lambda x: len(x)
env["null?"] = lambda x: len(x) == 0
env["sqrt"] = lambda x: np.sqrt(x)
env["reverse"] = lambda x: list(reversed(x))
env["fold"] = lambda x, y: functools.reduce(x, y)
env["pi"] = math.pi
env["exp"] = np.exp # should add cleanExp like quantum parethesis
env["oracle"] = lambda fun: oracleLib.generateOracle(fun)
env["expm"] = lambda matrix: list(scipyAlg.expm(matrix))
env["logm"] = lambda matrix: list(scipyAlg.logm(matrix))
env["logTwo"] = lambda x: int(math.log(x, 2))
env["length"] = lambda x: len(x)
env["transpose"] = lambda x: (quantumLib.ctransp(x)).tolist()
def add_globals(self):
"Add some Scheme standard procedures."
import math, cmath, operator as op
self.update(vars(cmath))
self.update(vars(math))
self.update({
'expC': lambda x: cmath.exp(x),
'cleanExp': lambda x: autoOp.clean_complex(cmath.exp(x)),
'+':op.add,
'-':op.sub,
'*':op.mul,
'/':op.truediv,
'not':op.not_,
'or': lambda x,y: x or y,
'>':op.gt,
'<':op.lt,
'>=':op.ge,
'<=':op.le,
'=':op.eq,
'equal?':op.eq,
'eq?':op.is_,
'length':len,
'cons':cons,
'car':lambda x:x[0],
'cdr':lambda x:x[1:],
'append':op.add,
'len' : lambda x: len(x),
'list':lambda *x:list(x),
'list?': lambda x:isa(x,list),
'null?':lambda x:x==[],
'symbol?':lambda x: isa(x, Symbol),
'boolean?':lambda x: isa(x, bool),
'pair?':is_pair,
'port?': lambda x:isa(x,file),
'applyE':lambda proc,l: proc(*l),
'eval':lambda x: eval(expand(x)),
'load':lambda fn: load(fn),
'call/cc':callcc,
'open-input-file':open,
'close-input-port':lambda p: p.file.close(),
'open-output-file':lambda f:open(f,'w'),
'close-output-port':lambda p: p.close(),
'eof-object?':lambda x:x is eof_object,
'read-char':readchar,
'apply': lambda x,y: quantumLib.np.dot(x,y),
'outer' : lambda x,y : quantumLib.np.outer(x,y),
'tensor': lambda *x: quantumLib.stateComp(x).tolist(),
'measure': lambda x: quantumLib.measure(x),
'map' : lambda x,y : list(map(x,y)),
'fold' : lambda x,y : functools.reduce(x,y),
'foldI' : lambda x,y,z: functools.reduce(x,y,z),
'ones' : lambda x : quantumLib.np.ones(x).tolist(),
'scalarM' : lambda x,y : quantumLib.np.multiply(x,y).tolist(),
'addM' : lambda x,y : quantumLib.np.add(x,y).tolist(),
'toInt' : lambda x: int(x),
'read':read, 'write':lambda x,port=sys.stdout:(port.write(to_string(x)), None)[1],
'transpose' : lambda x: (quantumLib.ctransp(x)).tolist(),
'hermitian?' : lambda x :quantumLib.checkH(x),
'unitary?' : lambda x : quantumLib.checkU(x),
'oracle' : lambda fun: oracleLib.generateOracle(fun),
'subsystems': lambda state,configuration: quantumLib.splitToSub(state,configuration),
'cart': lambda *x: list(itertools.product(*x)),
'display':lambda x,port=sys.stdout:(port.write(x if isa(x,str) else to_string(x)), None)[1]})
return self
