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Exception that doesn't work what is wrong with my code? [closed]

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def inicio():
try:
usuario=str(input("Ingresa tu usuario: "))
if usuario in usuarios:
indice = usuarios.index(usuario)
clave=(contraseñas[indice])
contraseña=str(input("ingrese su contraseña"))
if (contraseña==clave):
print("felicidades usted ha iniciado sesion")
except:
print("vuelva a refrecar el programa y intentelo de nuevo")
menu()
The except just doesn't work.

How to classify sentence and Non-sentence type out of word sequence? [closed]

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I have bunch of lines and they can be categorized in 2 types.
Types of word Sequence:
Its a valid English sentence:
Exp: - As a committed Software Engineer with over 5 years of
experience on Microsoft Technologies and Business Intelligence
tools.
Not an valid English sentence(just word sequence):
Examples:
Client : PMP Auto Components
HTML , Cascading Style Sheets ,Java Script , JSP
Organization : Satyam Computer Services Ltd. , | ? | Designation : Software Engineer | ? | Duration : 03 / 2006 03
/ 2010 | ? |
SLC - STC Merit Certified - 2006 Satyam Computer Services Ltd.
I am using python for machine learning task.i can use POS tags as feature for classification by NLTK. Which algorithm can be applied in this problem ?
Update:
Which features should be utilized for prediction of whether its a sentences are not ?

You could use the treetaggerwrapper:
Reathedocs of TreetaggerWrapper
From the docs it should be easy to use:
import pprint # For proper print of sequences.
import treetaggerwrapper
#1) build a TreeTagger wrapper:
tagger = treetaggerwrapper.TreeTagger(TAGLANG='en')
#2) tag your text.
tags = tagger.tag_text("This is a very short text to tag.")
pprint.pprint(treetaggerwrapper.make_tags(tags))
Checking if the sentance holds a noun (tag NN), a verb (tag VBZ) and a proper sentence punctuation (tag SENT)

String conversion error when reading user input [closed]

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I get the following error
ValueError: could not convert string to float: 'asdf\n'
from this code:
import sys
print('Hello, this is a short quiz. Please tell me your name')
name = int(sys.stdin.readline())
print('Are you ready %s?' % (name))

Unless your name is "7", that code is guaranteed to fail. You are casting the input string to an int. Try:
name = sys.stdin.readline().strip()

production rule from tree structure with re but not without nltk [closed]

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I want to extract rule from tree structure without using Natural Language Toolkit(NLTK) .
For ex; The tree structure is:
( NP-TMP ( NNP December ) ( CD 1998 ) ) \n
and I want to extract rule such that:
NP-TMP -> NNP CD
NNP -> 'December'
CD -> '1998'
How can I do that with re library in Python without using "nltk"?

A very non elegant solution would be
import re
s_expr = "( NP-TMP ( NNP December ) ( CD 1998 ) )"
regex = re.compile("([\\w-]+)")
matches = re.findall(regex, s_expr)
# assert the s-expressions are 5
assert (len(matches) == 5)
print matches[0], matches[1], matches[3]
print matches[1], matches[2]
print matches[3], matches[4]
Here I assume all the s-expressions or trees have two descendents, if not, this is not gonna work and maybe a made-by-hand parser is better than a regex.

Xpath builder in Python [closed]

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I'm building relatively complicated xpath expressions in Python, in order to pass them to selenium. However, its pretty easy to make a mistake, so I'm looking for a library that allows me to build the expressions without messing about with strings. For example, instead of writing
locator='//ul[#class="comment-contents"][contains(., "West")]/li[contains(., "reply")]
I could write something like:
import xpathbuilder as xpb
locator = xpb.root("ul")
.filter(attr="class",value="comment-contents")
.filter(xpb.contains(".", "West")
.subclause("li")
.filter(xpb.contains (".", "reply"))
which is maybe not as readable, but is less error-prone. Does anything like this exist?

though this is not exactly what you want.. you can use css selector
...
import lxml.cssselect
csssel = 'div[class="main"]'
selobj = lxml.cssselect.CSSSelector(csssel)
elements = selobj(documenttree)
generated XPath expression is in selobj.path
>>> selobj.path
u"descendant-or-self::div[#class = 'main']"

You can use lxml.etree that allows to write code as the following:
from lxml.builder import ElementMaker # lxml only !
E = ElementMaker(namespace="http://my.de/fault/namespace", nsmap={'p' : "http://my.de/fault/namespace"})
DOC = E.doc
TITLE = E.title
SECTION = E.section
PAR = E.par
my_doc = DOC(
TITLE("The dog and the hog"),
SECTION(
TITLE("The dog"),
PAR("Once upon a time, ..."),
PAR("And then …")
),
SECTION(
TITLE("The hog"),
PAR("Sooner or later …")
)
)