def eval_if(lists,final,count):
"""Evaluates the predicate of the 'if' condition"""
if count==0 and len(final) != 0:
expr,move=eval_expr(final),0
for i in func_dict:
if i in func_dict[i]:
move=1
if move==1:
if expr==0:
lists=if_cons_alt(ops.rest1(lists),[],0)
else:lists=if_cons_alt(ops.rest1(lists),[],0)
if expr==1:return lists[0],1
else:return lists[1],0
if ops.first(lists).isalpha():
final=ops.append(final,[local_dict[ops.first(lists)]])
return eval_if(ops.rest(lists),final,count)
if ops.first(lists)=='(':
count+=1
return eval_if(ops.rest(lists),ops.append(final,[ops.first(lists)]),count)
elif ops.first(lists)==')':
count=count-1
return eval_if(ops.rest(lists),ops.append(final,[ops.first(lists)]),count)
else:return eval_if(ops.rest(lists),ops.append(final,[ops.first(lists)]),count)
def exec_func_body(func_body,passed): """Executes the body of the function""" if ops.null(func_body):return str(evaluate(ops.rest(passed),[])) if ops.first(func_body).isalpha and ops.first(func_body) in local_dict: passed=ops.append(passed,[str(local_dict[ops.first(func_body)])]) local_dict[ops.first(func_body)]=int(local_dict[ops.first(func_body)])-1 return exec_func_body(ops.rest(func_body),passed) else:return exec_func_body(ops.rest(func_body),ops.append(passed,[ops.first(func_body)]))
def make_env(pkgs):
in_list = []
ops = []
for pkg in pkgs:
pkg = pkg.rstrip(os.path.sep)
if not path_is_in_root(pkg):
log.log(
"Error: make-env, genesis file '{}' is not in the store '{}'".
format(pkg, get_root_path()))
sys.exit(1)
basename = os.path.basename(pkg)
hash, name = split_hash_name(basename)
in_list.append(basename)
ops.append({'op': 'addPackageLinks', 'path': '@in.' + name})
gen_obj = GenesisObject.from_data("env", {'in': in_list, 'ops': ops})
gen_path = add_gen_obj_from_data(gen_obj)
return build(gen_path)
def evaluate(lists,final):
"""Performs arithmetic and logical operations"""
if ops.null(lists):return final[0]
elif ops.first(lists)=='(':return evaluate(ops.rest(lists),final)
elif ops.first(lists).isdigit():return evaluate(ops.rest(lists),ops.append(final,[int(ops.first(lists))]))
elif ops.first(lists)==')':
op=opdet(final)
if op=='+':f=add
elif op=='*':f=mul
elif op=='/':f=div
elif op=='-':f=sub
elif op=='%':f=mod
elif op=='>':f=gt
elif op=='and':f=and_
elif op=='<':f=lt
elif op=='=':f=eq
result=ops.last(final)
final=ops.rest1(final)
while type(ops.last(final))==int:
result=int(f(ops.last(final),result))
final=ops.rest1(final)
final=ops.rest1(final)
return evaluate(ops.rest(lists),ops.append(final,[result]))
else:return evaluate(ops.rest(lists),ops.append(final,[ops.first(lists)]))
def build_image_decoder(input_shape,
output_width,
layers_per_scale=1,
**conv_layer_kwargs):
feature_maps = tf.keras.Input(shape=input_shape, name='feature_maps')
num_levels = np.log2(output_width / input_shape[0])
if num_levels % 1:
raise ValueError(
'The ratio of output_width and input width must be a perfect '
'square, but got {} and {} with ratio {}'.format(
output_width, input_shape[0], output_width / input_shape[0]))
# Expand until we have filters_out channels:
x = feature_maps
ops = [x]
num_filters = input_shape[-1]
def upsample(x):
new_size = [x.get_shape()[1] * 2, x.get_shape()[2] * 2]
return tf.image.resize_bilinear(x, new_size, align_corners=True)
for _ in range(int(num_levels)):
num_filters //= 2
x = tf.keras.layers.Lambda(upsample)(x)
ops.append(x)
# Apply additional layers:
for _ in range(layers_per_scale):
x = tf.keras.layers.Conv2D(num_filters, **conv_layer_kwargs)(x)
ops.append(x)
return tf.keras.Model(inputs=feature_maps,
outputs=[x, ops],
name='image_decoder')
def extract_funcbody(lists,finalbody,count):
"""Extracts the body of the function"""
if ops.first(lists)=='(':
if ops.first(ops.rest(lists))=='if':
count+=1
return extract_funcbody(ops.rest(lists),ops.append(finalbody,[ops.first(lists)]),count)
elif ops.first(ops.rest(lists)).isalpha():return extract_funcbody(ops.rest(lists),finalbody,count)
else:
count+=1
return extract_funcbody(ops.rest(lists),ops.append(finalbody,[ops.first(lists)]),count)
elif ops.first(lists).isalpha():
if '(' not in finalbody:return extract_funcbody(ops.rest(lists),finalbody,count)
else:return extract_funcbody(ops.rest(lists),ops.append(finalbody,[ops.first(lists)]),count)
elif ops.first(lists)==')':
if count>0:
count-=1
return extract_funcbody(ops.rest(lists),ops.append(finalbody,[ops.first(lists)]),count)
if len(finalbody)!=0 and count==0:
return finalbody
else:return extract_funcbody(ops.rest(lists),finalbody,count)
if ops.first(lists)=='if':return extract_funcbody(ops.rest(lists),ops.append(finalbody,[ops.first(lists)]),count)
else:return extract_funcbody(ops.rest(lists),ops.append(finalbody,[ops.first(lists)]),count)
def if_cons_alt(dummy,final,count):
"""evaluates the consequent and alternative of an if condition"""
if len(dummy)==2 and len(final)==0 and count==0:
return dummy
if ops.first(dummy)=='(':
count+=1
return if_cons_alt(ops.rest(dummy),ops.append(final,[ops.first(dummy)]),count)
elif ops.first(dummy).isdigit():
if len(final)!=0:return if_cons_alt(ops.rest(dummy),ops.append(final,[ops.first(dummy)]),count)
else:return if_cons_alt(ops.append(ops.rest(dummy),[ops.first(dummy)]),final,count)
elif ops.first(dummy).isalpha() and ops.first(dummy) in func_dict:
count_func,func=0,[]
dummy=ops.rest(dummy)
for i in dummy:
if i=='(':
func=ops.append(func,['('])
count_func+=1
elif i==')':
count_func-=1
func=ops.append(func,[')'])
if count_func==0:
break
else:func=ops.append(func,[i])
dummy=ops.rest(dummy)
return if_cons_alt(ops.rest(dummy),ops.append(final,[exec_func_body(func,[])]),count)
elif ops.first(dummy).isalpha():return if_cons_alt(ops.rest(dummy),ops.append(final,[dict[ops.first(dummy)]]),count)
elif ops.first(dummy)==')':
count-=1
if count >= 0:final=ops.append(final,[ops.first(dummy)])
if count == 0:
result=str(evaluate(final,[]))
for i in dict:
if i in local_dict:
dict[i]=result
return if_cons_alt(ops.append(ops.rest(dummy),[result]),[],count)
else:
if count<0:count=0
return if_cons_alt(ops.rest(dummy),final,count)
else:return if_cons_alt(ops.rest(dummy),ops.append(final,[ops.first(dummy)]),count)
def evaluate_funcbody(dummy,lists): """Evaluates the function body""" if ops.null(dummy):return lists if ops.first(dummy).isalpha():return evaluate_funcbody(ops.rest(dummy),ops.append(lists,[local_dict[ops.first(dummy)]])) else:return evaluate_funcbody(ops.rest(dummy),ops.append(lists,[ops.first(dummy)]))