def get_token():
log.info("%s" % dict(request.query))
code = request.query.get('code','')
if memcache.get("oauth:%s" % request.query.get('state','')) != "session_id":
abort(500, "Invalid state")
token_url = "https://api.dropbox.com/1/oauth2/token"
log.info(request.url)
result = Struct(fetch(token_url, urllib.urlencode({
"code" : code,
"grant_type" : "authorization_code",
"client_id" : settings.dropbox.app_key,
"client_secret": settings.dropbox.app_secret,
"redirect_uri" : "http://localhost:8080/authorize/confirmation"
})))
if result.status == 200:
try:
r = Struct(json.loads(result.data))
r.id = "default"
log.info(r)
t = DropboxToken(**r)
t.put()
except:
log.error("%s", traceback.format_exc())
return result
def scene():
box1_instance = Struct(name='box1_instance',
type='box',
pos=Struct(x=6.0, y=6.0, z=1.0),
color='red',
size=2)
box2_instance = Struct(name='box2_instance',
type='box',
pos=Struct(x=-5.0, y=4.0, z=1.0),
color='blue',
size=2)
box3_instance = Struct(name='box3_instance',
type='box',
pos=Struct(x=-2, y=-8, z=1),
color='green',
size=2)
box4_instance = Struct(name='box4_instance',
type='box',
pos=Struct(x=3, y=-7, z=1),
color='red',
size=1)
#grid = [[None]*39 for i in range(30)]
return Struct(robot1_instance=None,
box1_instance=box1_instance,
box2_instance=box2_instance,
box3_instance=box3_instance,
box4_instance=box4_instance) #, grid=grid)
def causalProcess(process):
params = updated(self._cause, action = process.actionary.type())
if hasattr(process.causalAgent, 'referent') and process.causalAgent.referent.type():
params.update(causer = process.causalAgent.referent.type())
else:
params.update(causer = get_objectDescriptor(process.causalAgent))
cp = params_for_simple(process.process1)
ap = params_for_simple(process.process2)
if cp is None or ap is None:
return None
params.update(causalProcess = Struct(cp))
params.update(affectedProcess = Struct(ap))
return params
def mock():
# return Struct(robot1_instance=Struct(name='robot1_instance',
# pos=Struct(x=0.0, y=0.0, z=0.0)),
# box1_instance=Struct(name='box1_instance',
# pos=Struct(x=3.0, y=4.0, z=0.0)),
# box2_instance=Struct(name='box2_instance',
# pos=Struct(x=-2.0, y=-3.0, z=1.0)),
# box3_instance=Struct(name='box3_instance',
# pos=Struct(x=0, y=1, z=1)))
robot1_instance = Struct(name='robot1_instance',
pos=Struct(x=0.0, y=0.0, z=0.0))
world = Worlds.scene()
setattr(world, 'robot1_instance', robot1_instance)
return world
def as_struct(x):
if '__JSON_Struct__' in x:
return Struct(x['__JSON_Struct__'])
elif '__JSON_Feature__' in x:
return Feature(x['__JSON_Feature__'])
else:
return x
def params_for_motionPath(process, params):
""" returns parameters for motion path process ("move to the box"). """
if hasattr(process, 'actionary'):
params.update(action=process.actionary.type())
if hasattr(process, 'speed') and str(
process.speed) != "None": # and process.speed.type():
params.update(speed=float(process.speed))
else: # Might change this - "dash quickly" (what should be done here?)
s = self.get_actionDescriptor(process)
if s is not None:
params.update(speed=float(s))
# Is there a heading specified?
if hasattr(process, 'heading'):
if process.heading.type():
params.update(heading=process.heading.tag.type())
# Is a distance specified?
if hasattr(process.spg, 'distance') and hasattr(
process.spg.distance, 'amount'):
d = process.spg.distance
params.update(distance=Struct(value=int(d.amount.value),
units=d.units.type()))
# Is a goal specified?
if hasattr(process.spg, 'goal'):
params.update(goal=get_goal(process.spg, params))
if hasattr(process, 'direction'):
params.update(direction=process.direction.type())
return params
def parse_example(example):
features = Struct(
tf.parse_single_example(
serialized=example,
features=dict(path=tf.FixedLenFeature([], dtype=tf.string),
pitch=tf.FixedLenFeature([], dtype=tf.int64),
source=tf.FixedLenFeature([], dtype=tf.int64))))
waveform = tf.read_file(features.path)
# Decode a 16-bit PCM WAV file to a float tensor.
# The -32768 to 32767 signed 16-bit values
# will be scaled to -1.0 to 1.0 in float.
waveform, _ = audio_ops.decode_wav(contents=waveform,
desired_channels=1,
desired_samples=64000)
waveform = tf.squeeze(waveform)
label = index_table.lookup(features.pitch)
label = tf.one_hot(label, len(pitches))
pitch = tf.cast(features.pitch, tf.int32)
source = tf.cast(features.source, tf.int32)
return waveform, label, pitch, source
def __call__(self, xs):
if xs not in self.cache:
y = 0
for x in xs:
y += x
self.cache[xs] = Struct(y=y)
return self.cache[xs]
def __call__(self, x, **kwargs):
if x not in self.cache:
m, v = tf.nn.moments(x, [0])
x_cen = (x - m) / (tf.sqrt(v) + 1e-4)
y = x_cen * self.sigma + self.mu
self.cache[x] = Struct(m=m, v=v, x_cen=x_cen, y=y)
return self.cache[x]
def __init__(self, name):
update(self,
name=name,
pos=Struct(x=0.0, y=0.0, z=0.0),
simulator=Morse())
inst = getattr(self.simulator, self.name)
inst.robot_pose.subscribe(self.setpos)
def move_old(self,
inst,
a,
b,
c=0,
tolerance=3,
speed=1.5,
collide=False): #tolerance=1.5, speed=2.0):
inst = getattr(self.world, inst)
#carry out the move action
tolerance = 3
robotloc = self.world.robot1_instance.pos
if collide == True:
inst.move_collide(x=a, y=b, z=c, tolerance=tolerance, speed=speed)
else:
inst.move(x=a, y=b, z=c, tolerance=tolerance, speed=speed)
newworld = inst.get_world_info()
#update the location of all objects in the world
for obj in newworld:
setattr(
getattr(self.world, obj['name']), 'pos',
Struct(x=obj['position'][0],
y=obj['position'][1],
z=obj['position'][2]))
def move(self,
inst,
a,
b,
c=0,
tolerance=4,
speed=1.5,
collide=False): #tolerance=1.5, speed=2.0):
inst = getattr(self.world, inst)
#carry out the move action
robotloc = self.world.robot1_instance.pos
#print("printing avoidance")
#print (self.avoid_obstacle( robotloc.x,robotloc.y , a, b))
#print("pritndone")
#print(self.avoid_obstacle( robotloc.x,robotloc.y , a, b))
#print ("collide is")
# print (collide)
if collide == True:
inst.move(x=a, y=b, z=0, tolerance=tolerance, speed=speed)
else:
for loc in self.avoid_obstacle(robotloc.x, robotloc.y, a, b):
inst.move(x=loc[0],
y=loc[1],
z=0,
tolerance=tolerance,
speed=speed)
newworld = inst.get_world_info()
#update the location of all objects in the world
for obj in newworld:
setattr(
getattr(self.world, obj['name']), 'pos',
Struct(x=obj['position'][0],
y=obj['position'][1],
z=obj['position'][2]))
def __call__(self, logits, **kwargs):
if logits not in self.cache:
mu = tf.sigmoid(logits)
noise = tf.random_uniform(tf.shape(logits))
sample = tf.cast(tf.less_equal(noise, mu), np.float32)
log_prob = BernoulliLogits.BernoulliLogitsLogProb(logits)
self.cache[logits] = Struct(logits=logits, mu=mu, noise=noise, y=sample, sample=sample, log_prob=log_prob)
return self.cache[logits]
def make_move(self, move, state):
if move not in state.moves:
return state # Illegal move has no effect
board = state.board.copy(); board[move] = state.to_move
moves = list(state.moves); moves.remove(move)
return Struct(to_move= ('O' if state.to_move == 'X' else 'X'),
utility=self.compute_utility(board, move, state.to_move),
board=board, moves=moves)
def __call__(self, mu_sigma, **kwargs):
if mu_sigma not in self.cache:
mu, sigma = mu_sigma
noise = tf.random_normal(tf.shape(mu))
sample = mu + sigma * noise
log_prob = DiagonalGaussian.DiagonalGaussianLogProb(mu, sigma)
self.cache[mu_sigma] = Struct(mu=mu, sigma=sigma, noise=noise, y=sample, sample=sample, log_prob=log_prob)
return self.cache[mu_sigma]
def __init__(self):
self.board = [self.NUM_STONE] * self.NUM_SLOT
self.board[self.MAX_MANCALA] = 0
self.board[self.MIN_MANCALA] = 0
self.moves = [i for i in range(0, self.NUM_SLOT)]
self.initial = Struct(to_move=self.MAX,
utility=0,
board=self.board,
moves=self.moves)
def __call__(self, x, deterministic=False, **kwrags):
if (x, deterministic) not in self.cache:
if deterministic:
mask = None
y = x * self.keep_rate + (1. - x) * (1. - self.keep_rate)
else:
mask = tf.cast(tf.less_equal(tf.random_uniform(tf.shape(x)), self.keep_rate), np.float32)
y = x * mask + (1. - x) * (1. - mask)
self.cache[x, deterministic] = Struct(mask=mask, y=y)
return self.cache[x]
def __init__(self, heaps):
no_of_heaps = 0
initial_board_config = {}
for heap in heaps:
initial_board_config[no_of_heaps] = heap
no_of_heaps += 1
self.initial = Struct(to_move='P1', board=initial_board_config)
def make_move(self, move, state):
"""Given a move and a state, returns a representation of the
new state that results after making the move."""
## return the same state if the move suggested is not part of the legal moves for the state
if move not in self.legal_moves(state):
return state
return Struct(to_move=if_(state.to_move=='P1','P2','P1'), board=move)
def __call__(self, x, deterministic=False, **kwrags):
if (x, deterministic) not in self.cache:
intermediate_outs = OrderedDict()
y = x
for layer in self.layers:
out = layer(y, deterministic=deterministic, **kwrags)
y = out.y
intermediate_outs[layer] = out
self.cache[x] = Struct(intermediate_outs=intermediate_outs, y=y, out=out)
return self.cache[x]
def __init__(self):
#Create a list of 14 elements with number of pieces
self.board = [self.Num_Piece] * 14
#Set Players' macalas to 0
self.board[self.P0_mancala] = 0
self.board[self.P1_mancala] = 0
self.moves = [0, 1, 2, 3, 4, 5]
self.start = Struct(to_move=self.P0,
utility=0,
board=self.board,
moves=self.moves)
def parse_example(example):
features = Struct(
tf.parse_single_example(
serialized=example,
features=dict(path=tf.FixedLenFeature([], dtype=tf.string))))
image = tf.read_file(features.path)
image = tf.image.decode_jpeg(image, 3)
return image
def __call__(self, x, list_of_kwargs=None, **kwargs):
if list_of_kwargs is None:
list_of_kwargs = []
while len(list_of_kwargs) < len(self.functions):
list_of_kwargs.append({})
assert len(list_of_kwargs) == len(self.functions), "more arguments than splits"
if x not in self.cache:
outs = []
for f, kwargs in zip(self.functions, list_of_kwargs):
outs.append(f(x, **kwargs))
self.cache[x] = Struct(outs=outs, y=tuple([out.y for out in outs]))
return self.cache[x]
def construct_condImp():
cond = list(
params_for_compound(core.m.ed1.eventProcess)
) # Changed so that condition can be compound / cause ("If you pushed the box North, then...")
params = updated(self._YN)
action = list(params_for_compound(core.m.ed2.eventProcess)
) #params_for_compound(core.m.ed1.eventProcess)
action2 = []
cond2 = []
if cond is None or None in action:
return None
for i in action:
action2.append(Struct(i))
for i in cond:
cond2.append(Struct(i))
params = [
updated(self._conditional,
command=action2,
condition=cond2)
]
return params
def make_move(self, move, state):
"""Given a move and a state, returns a representation of the
new state that results after making the move."""
"""if move not in self.legal_moves(state):
print "MALDI: ILLEGAL MOVE"
return state"""
#print "Player%d is making the move=" % state.to_move, ; print move
return Struct(to_move=if_(state.to_move == '1', '2', '1'),
board={"heaps": move})
print "MALDI: ILLEGAL MOVE SCENE"
return state
def result(self, state, move):
if move not in state.moves:
print("Illegal Move")
return state # Illegal move has no effect
board = state.board.copy()
cell = self.findTopOfColumn(board, move)
board[cell] = state.to_move
moves = state.moves.copy()
if cell[1] == self.v:
moves.remove(move)
return Struct(to_move = oppPlayer(state.to_move),
board = board,
moves = moves,
lastCell = cell)
def result(self, state, move):
if move not in state.moves:
print("Illegal Move")
return state # Illegal move has no effect
board = state.board.copy()
board[move] = state.to_move
moves = list(state.moves)
moves.remove(move)
if move[0] > 1:
moves.append((move[0] - 1, move[1]))
return Struct(to_move=if_(state.to_move == 'X', 'O', 'X'),
utility=self.compute_utility(board, move, state.to_move),
board=board,
moves=moves)
def make_move(self, move, state):
"""Given a move and a state, returns a representation of the
new state that results after making the move."""
## if move not in self.legal_moves(state):
## return state
##
## return Struct(to_move=if_(state.to_move=='P1','P2','P1'), board=move)
new_board = state.board
new_board[move[0] - 1] -= move[1]
new_state = Struct(to_move=if_(state.to_move == 'P1', 'P2', 'P1'),
board=new_board)
return new_state
def __init__(self):
#Create 14 elements in a list representing pits in a Mancala layout
self.board = [self.stones] * 14
#Setting both Mancalas empty initially
self.board[self.Player1_Mancala] = 0
self.board[self.Player2_Mancala] = 0
#Create 6 possible moves
self.moves = [0, 1, 2, 3, 4, 5]
self.start = Struct(to_move=self.Player1,
utility=0,
board=self.board,
moves=self.moves)
def move(self,
inst,
a,
b,
c=0,
tolerance=2,
speed=1.5,
collide=False): #tolerance=1.5, speed=2.0):
print("the world was:")
pprint(self.world)
print("robot is at:")
print(a, b)
#(self.world.)
setattr(getattr(self.world, inst), 'pos', Struct(x=a, y=b, z=c))
print("the world is now:")
pprint(self.world)
def __init__(self):
self._NTUPLE_T = dict(predicate_type=None,
parameters=None, # one of (_execute, _query)
return_type='error_descriptor')
# Basic executable dictionary
self._execute = dict(kind='execute',
control_state='ongoing',
action=None,
protagonist=None,
distance=Struct(value=8, units='square'),
goal=None,
speed = .5,
heading=None, #'north',
direction=None)
# TESTING: Causal dictionary: "Robot1, move the box to location 1 1!"
self._cause = dict(kind = 'cause',
causer = None,
action = None)
# Assertion: "the box is red"
self._assertion = dict(kind='assertion', # might need to change parameters
action=None,
protagonist=None,
predication=None)
self._WH = dict(kind = 'query',
protagonist = None,
action = None,
predication = None,
specificWh = None)
#Y/N dictionary: is the box red?
self._YN = dict(kind = 'query',
protagonist=None,
action=None,
predication=None)
self._conditional = dict(kind='conditional',
condition=None, # Maybe should be template for Y/N question?
command = self._execute)
"""Contains the instantiation to collect data from Schneider Electric
EM6400 smartmeter"""
from __future__ import print_function
import os
from smart_meter import SmartMeter
from utils import count_num_files, write_csv_header, find_param_numbers
from utils import Struct
from configuration import DATA_PATH
# Change these two lines in accordance with your meter configuration
from configuration import _6436
meter_config = Struct(**_6436)
meter_config.param_indices = find_param_numbers(
meter_config.params_provided, meter_config.params_to_record)
# Find the CSV file to write in
csv_file_number = count_num_files(DATA_PATH)
csv_file_path = os.path.join(DATA_PATH, str(csv_file_number) + ".csv")
# Instantiate smartmeter
smart_meter = SmartMeter(meter_config.retries, meter_config.com_method,
meter_config.baudrate, meter_config.stopbits,
meter_config.parity, meter_config.bytesize,
meter_config.timeout)
def endpoint():
result = Struct({'api_version':1, 'auth':0})
api_key = request.forms.get('api_key', None)
if not api_key or 'api' not in request.query.keys():
log.debug("<- %s" % result)
return result
u = uc.get_user_by_api_key(api_key)
if not u:
log.debug("<- %s" % result)
return result
result.auth = 1
if len(request.query.keys()) == 1: # nothing requested
result.last_refreshed_on_time = int(time.time())
log.debug("<- %s" % result)
return result
if 'groups' in request.GET:
result.groups = uc.get_groups_for_user(u)
result.feeds_groups = uc.get_feed_groups_for_user(u)
log.debug("<- %s" % result)
return result
if 'feeds' in request.GET:
result.feeds = uc.get_feeds_for_user(u)
result.feeds_groups = uc.get_feed_groups_for_user(u)
log.debug("<- %s" % result)
return result
if 'unread_item_ids' in request.GET:
unread_items = uc.get_unread_items_for_user(u)
if len(unread_items):
result.unread_item_ids = ','.join(map(str,unread_items))
log.debug("<- %s" % result)
return result
if 'saved_item_ids' in request.GET:
saved_items = uc.get_saved_items_for_user(u)
if len(saved_items):
result.saved_item_ids = ','.join(map(str,saved_items))
log.debug("<- %s" % result)
return result
if 'items' in request.GET:
ids = [int(i) for i in request.query.get('with_ids','').split(',') if _digits.match(i)]
since_id = int(request.query.get('since_id',0))
if len(ids):
result.items = uc.get_items_for_user(u, ids)
elif since_id:
result.items = uc.get_items_for_user_since(u, int(since_id))
result.total_items = uc.get_item_count_for_user(u)
log.debug("<- %s" % result)
return result
# Hot links
if 'links' in request.GET:
result.links = [] # stubbed out until we can index content
log.debug("<- %s" % result)
return result
# TODO: handle mark, as, id
log.debug(request.forms.keys())
settings = Struct({
"loglevel": logging.DEBUG,
"content": {
"path": "data/main",
},
"cache": {
"#": "In-worker memory cache",
"worker_timeout": 60,
"#": "memcache timeout",
"cache_timeout": 300,
"#":"HTTP Cache control",
"cache_control": 3600
},
"theme": "ink",
"wiki": {
"#" : "Paths",
"base" : "/space",
"home" : "HomePage",
"media" : "/media",
"aliases" : "meta/Aliases",
"acronyms" : "meta/Acronyms",
"interwiki" : "meta/InterWikiMap",
"plugins": {
},
"markup_overrides": { "text/plain": "text/x-textile" }
},
"dropbox": {
"#": "Paths to preload",
"preload": {
"meta" : 100,
"blog" : 100,
"links": 100
},
"app_key": "********",
"app_secret": "********",
"root_path": ""
}
})