def __init__(self, extensions=[]):
from curtana.lib.parser_aliases import A, C, D
delimited = D(C(":"))
self.parser = (C("%") >> call(self.set_env) * delimited * A
| C(">") >> call(self.prompt) * delimited * A
| C(",") >> call(self.expand_text) * A
| C(".") >> call(self.echo_text) * A
| C("'") >> call(self.command) * A)
Component.__init__(self, extensions)
def __init__(self, extensions=[]):
from curtana.lib.parser_aliases import A, C, D
delimited = D(C(":"))
self.parser = (
C("%") >> call(self.set_env) * delimited * A
| C(">") >> call(self.prompt) * delimited * A
| C(",") >> call(self.expand_text) * A
| C(".") >> call(self.echo_text) * A
| C("'") >> call(self.command) * A
)
Component.__init__(self, extensions)
def f(env, user, path=None):
if path:
try:
client.faceexpr_classifier = pickle.load(open(path, "r"))
except IOError:
print "No such file"
else:
client.faceexpr_classifier = naivebayes.NaiveBayes()
client.faceexpr_path = path
client.parser_backup = copy.copy(client.tweet_parser)
client.add_syntax(C("/") >> S("faceexpr_train ") >> call(train(client)) * AC * A)
client.add_syntax(C("/") >> S("faceexpr_classify ") >> call(classify(client)) * A)
client.add_syntax(C("/") >> S("faceexpr_save") >> call(save(client)))
client.add_syntax(C("/") >> S("faceexpr_save ") >> call(save(client)) * A)
client.tweet_parser = (C("!") >> ApplyN(train_and_change_icon(client, user), AC, A)
| ApplyN(train_and_change_icon(client, user), R(None), A))
def __init__(self, extensions):
from curtana.lib.parser_aliases import A, C, S, AC, D, Z
self.tweet_parser = A
self.parser = (
C("/") >> (
S("login ") >> component.call(self.twitter_auth) * A
| S("connect ") >> component.call(self.listen_timeline) * A
| S("disconnect ") >> component.call(self.terminate)
| S("reply ") >> component.call(self.post_reply) * D(C(":")) * Z(lambda: self.tweet_parser)
)
| C("\\") >> component.call(self.post_tweet) * Z(lambda: self.tweet_parser)
| C(":") >> component.call(self.respond) * AC * A)
self.respond_parser = \
(C("@") >> component.call(self.reply) * Z(lambda: self.tweet_parser)
| C("`") >> component.call(self.unofficialRT) * Z(lambda: self.tweet_parser)
| C("r") >> component.call(self.retweet)
| C("f") >> component.call(self.favorite)
| component.call(self.reply) * Z(lambda: self.tweet_parser))
component.Component.__init__(self, extensions, multithread=True)
def initialize(self, client, env, user):
client.add_syntax(C("/") >> S("faceexpr_enable") >> call(start(client)))
client.add_syntax(C("/") >> S("faceexpr_enable ") >> call(start(client)) * A)
client.add_syntax(C("/") >> S("faceexpr_disable") >> call(stop(client)))
def __init__(self, extensions):
from curtana.lib.parser_aliases import A, C, S, AC, D, Z
self.tweet_parser = A
self.parser = (
C("/") >>
(S("login ") >> component.call(self.twitter_auth) * A
| S("connect ") >> component.call(self.listen_timeline) * A
| S("disconnect ") >> component.call(self.terminate)
| S("reply ") >> component.call(self.post_reply) * D(C(":")) *
Z(lambda: self.tweet_parser))
| C("\\") >>
component.call(self.post_tweet) * Z(lambda: self.tweet_parser)
| C(":") >> component.call(self.respond) * AC * A)
self.respond_parser = \
(C("@") >> component.call(self.reply) * Z(lambda: self.tweet_parser)
| C("`") >> component.call(self.unofficialRT) * Z(lambda: self.tweet_parser)
| C("r") >> component.call(self.retweet)
| C("f") >> component.call(self.favorite)
| component.call(self.reply) * Z(lambda: self.tweet_parser))
component.Component.__init__(self, extensions, multithread=True)
