本文整理汇总了Python中string.maketrans函数的典型用法代码示例。如果您正苦于以下问题：Python maketrans函数的具体用法？Python maketrans怎么用？Python maketrans使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了maketrans函数的15个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: get_kmer_densities
def get_kmer_densities(path, kmer):
mC_trans = string.maketrans("C", "E")
hmC_trans = string.maketrans("C", "O")
c_density = KmerHdpDistribution(path, kmer)
mc_density = KmerHdpDistribution(path, kmer.translate(mC_trans))
hmc_density = KmerHdpDistribution(path, kmer.translate(hmC_trans))
return c_density, mc_density, hmc_density示例2: build_sample_ids_transtable
def build_sample_ids_transtable():
"""Build translation table for sample ids being MIENS compliant"""
all_chars = "".join([chr(i) for i in range(128)])
valid_sample_id_chars = letters + digits + "."
non_valid_sample_id_chars = all_chars.translate(maketrans("", ""), valid_sample_id_chars)
trans_table = maketrans(non_valid_sample_id_chars, "." * len(non_valid_sample_id_chars))
return trans_table示例3: solve_partial
def solve_partial(w, h, pattern, answer, fix_num, solve_num, reset_loop_count=RESET_LOOP_COUNT):
trans_str_wall = answer[:fix_num]
trans_table_wall = string.maketrans(trans_str_wall,
'=' * len(trans_str_wall))
trans_str_asta = answer[fix_num + solve_num:-1].replace('=', '')
trans_table_asta = string.maketrans(trans_str_asta,
'*' * len(trans_str_asta))
pattern_rep = pattern.translate(trans_table_wall)
pattern_rep = pattern_rep.translate(trans_table_asta)
answer_rep = answer.translate(trans_table_wall)
answer_rep = answer_rep.translate(trans_table_asta)
####### debug #######
print '--------- pattern_rep'
print_pattern(w, h, pattern_rep)
print '--------- answer_rep'
print_pattern(w, h, answer_rep)
####### debug #######
move = solve_all(w, h, pattern_rep, answer_rep, reset_loop_count)
####### debug #######
if move:
pattern_work = create_pattern(w, h, pattern, move)
print '--------- succeeded'
print_pattern(w, h, pattern_work)
else:
print '--------- not succeeded'
####### debug #######
return move示例4: build_anagrams
def build_anagrams():
'''
build a python dict of sorted-word and the set of words
Using brown corpus and a file containing words from multiple corpora
strip all punctuations, retain hyphens, replace underscores with space
'''
punctuations_replace = '#"(){}[]<>.+,/:;[email protected]_|~-'
punctuations_remove = '!$\'%&\\*^`'
# 1. Brown Corpus
for word in nltk.corpus.brown.words():
w = str(word)
# polish just the way tokens were
w_list = w.translate(string.maketrans(punctuations_replace,' '*len(punctuations_replace)), punctuations_remove).strip().lower().split()
for each_w in w_list:
# add the word to redis with key as a sorted word
wam[''.join(sorted(each_w))].add(each_w)
# 2. Wordnet
for word in nltk.wordnet.wordnet.words():
w = str(word)
# polish just the way tokens were
w_list = w.translate(string.maketrans(punctuations_replace,' '*len(punctuations_replace)), punctuations_remove).strip().lower().split()
for each_w in w_list:
# add the word to redis with key as a sorted word
wam[''.join(sorted(each_w))].add(each_w)
# 3. Other corpora
with open(BIG_WL, 'r') as f:
for line in f:
w = str(line).strip()
# polish just the way tokens were
w_list = w.translate(string.maketrans(punctuations_replace,' '*len(punctuations_replace)), punctuations_remove).strip().lower().split()
for each_w in w_list:
# add the word to redis with key as a sorted word
wam[''.join(sorted(each_w))].add(each_w)示例5: test_the_reverse_complement
def test_the_reverse_complement(self):
"""Check obj.reverse_complement() method."""
mapping = ""
for example1 in self._examples:
if isinstance(example1, MutableSeq):
continue
try:
comp = example1.reverse_complement()
except ValueError as e:
self.assertEqual(str(e), "Proteins do not have complements!")
continue
str1 = str(example1)
# This only does the unambiguous cases
if any(("U" in str1, "u" in str1, example1.alphabet == generic_rna)):
mapping = maketrans("ACGUacgu", "UGCAugca")
elif any(("T" in str1, "t" in str1, example1.alphabet == generic_dna,
example1.alphabet == generic_nucleotide)):
mapping = maketrans("ACGTacgt", "TGCAtgca")
elif "A" not in str1 and "a" not in str1:
mapping = maketrans("CGcg", "GCgc")
else:
# TODO - look at alphabet?
continue
self.assertEqual(str1.translate(mapping)[::-1], str(comp))
self.assertEqual(comp.alphabet, example1.alphabet)示例6: reverseComplement
def reverseComplement(seq, rna=False):
if rna:
complements = string.maketrans("AUCGN", "UAGCN")
return convertToRNA(seq).translate(complements)[::-1]
else:
complements = string.maketrans("ATCGN", "TAGCN")
return convertToDNA(seq).translate(complements)[::-1]示例7: html_for_url_node
def html_for_url_node(node):
if not re.match("javascript:", node["url"]):
linkURL = sanitize(node["url"])
keysURL = linkURL
ktrspaces = " "
ktrtable = string.maketrans("[email protected]#$%^&*()_+-=`~;:'\",<.>/?\\|", ktrspaces)
keysURL = str(keysURL).translate(ktrtable, "").lower()
keysURL = str(keysURL).translate(None, "[email protected]#$%^&*()_+-=`~;:'\",<.>/?\\|").lower()
#
tags = sanitize(node["name"])
# tags= node['name'] Check for UTF-8 etc...
# print "TAGS: ",tags
# tags = tags.translate(None,'[email protected]#$%^&*()_+-=`~;:\'",<.>/?\\|')
# tags.translate(None,'[email protected]#$%^&*()_+-=`~;:\'",<.>/?\\|')
# trtable = ' '
trspaces = " "
trtable = string.maketrans("[email protected]#$%^&*()_+-=`~;:'\",<.>/?\\|", trspaces)
# tags = str(tags).translate(trtable,'[email protected]#$%^&*()_+-=`~;:\'",<.>/?\\|')
tags = str(tags).translate(trtable, "").lower()
tags = str(tags).translate(None, "[email protected]#$%^&*()_+-=`~;:'\",<.>/?\\|").lower()
#
allTags = tags + " " + keysURL
print "# '", sanitize(node["url"]), "'", allTags
# print '# \'',sanitize(node['url']),'\'', tags
return '<dt><a href="%s">%s</a>\n' % (sanitize(node["url"]), sanitize(node["name"]))
else:
return ""示例8: scrape_links_and_wordlistify
def scrape_links_and_wordlistify(links, lower=False, verbose=1):
import nltk
import requests
import string
raw = ''
wordlist = {}
for site in links:
try:
if verbose == 1:
print '[+] fetching data from: ', site
if site.find('http://pastebin.com/') == 0:
raw = requests.get(site.replace('http://pastebin.com/', 'http://pastebin.com/raw.php?i=')).content
else:
raw = requests.get(site).content
if lower == False:
l = string.translate(nltk.clean_html(raw), string.maketrans(string.punctuation, ' ' * 32)).split()
freq_an(l, wordlist)
else:
l = string.lower(nltk.clean_html(raw))
l = string.translate(l, string.maketrans(string.punctuation, ' ' * 32)).split()
freq_an(l, wordlist)
except:
if verbose == 1:
print '[-] Skipping url: ', site
return wordlist示例9: generateCounts
def generateCounts(self):
wordCounts = {}
hashtagCounts = {}
for tweet in self.trainSet:
hashtags = []
for word in tweet.split():
if word.startswith('#') and len(word) > 2:
word = word.lower().translate(string.maketrans("",""), string.punctuation) # remove punctuation
hashtags.append(word)
if word not in wordCounts:
wordCounts[word] = 1
else:
wordCounts[word] += 1
else:
if '@' in word:
continue
if word in self.stopWords:
continue
word = word.lower().translate(string.maketrans("",""), string.punctuation) # remove punctuation
if word not in wordCounts:
wordCounts[word] = 1
else:
wordCounts[word] += 1
for hashtag in hashtags:
if hashtag not in hashtagCounts:
hashtagCounts[hashtag] = 1.0
else:
hashtagCounts[hashtag] += 1.0
return wordCounts, hashtagCounts示例10: ROT13
def ROT13(test_string):
"""Return a encrypted string offset by 13
Encrytion does not impact spaces or special characters"""
shifted_cypherlower = string.ascii_lowercase[13:] + string.ascii_lowercase[:13]
shifted_cyperupper = string.ascii_uppercase[13:] + string.ascii_uppercase[:13]
transtable_lower = string.maketrans(string.ascii_lowercase, shifted_cypherlower)
#print transtable_lower
transtable_upper = string.maketrans(string.ascii_uppercase, shifted_cyperupper)
#print transtable_upper
encrypted_text = []
for letter in test_string:
if letter.islower():
encrypted_text.append(letter.translate(transtable_lower))
else:
encrypted_text.append(letter.translate(transtable_upper))
final_encryption = "".join(encrypted_text)
return final_encryption示例11: __init__
def __init__(self):
self.currentTroll = random.randint(0, 10)
self.trollCounter = 0
self.trolls = [
#aradia
{ 'prefix': '', 'replace': lambda x: x.translate(string.maketrans('oo', '00')) },
#terezi
{ 'prefix': '', 'replace': lambda x: x.upper().translate(string.maketrans('AIE', '413')) },
#tavros
{ 'prefix': '', 'replace': lambda x: x.title().swapcase() },
#sollux
{ 'prefix': '', 'replace': lambda x: x.replace('s', '2').replace('S', '2').replace('i', 'ii').replace('I', 'II') },
#karkat
{ 'prefix': '', 'replace': lambda x: x.upper() },
#nepeta
{ 'prefix': ':33 <', 'replace': lambda x: x.replace('ee', '33').replace('EE', '33') },
#kanaya
{ 'prefix': '', 'replace': lambda x: x.capitalize() },
#vriska
{ 'prefix': '', 'replace': lambda x: x.translate(string.maketrans('bB', '88')).replace('ate', '8') },
#equius
{ 'prefix': 'D -->', 'replace': lambda x: x.translate(string.maketrans('xX', '%%')) },
#gamzee TODO need a full func
#eridan
{ 'prefix': '', 'replace': lambda x: x.replace('w', 'ww').replace('v', 'vv').replace('W', 'WW').replace('V', 'VV') },
#feferi
{ 'prefix': '', 'replace': lambda x: x.replace('h', ')(').replace('H', ')(').replace('E', '-E') },
]示例12: __flatten
def __flatten(dic, prefix):
'''
recursively pass through a dict and flatten it\'s "internal" dicts
'''
results = {}
if dic is not None:
try:
for key in dic.keys():
if type(dic[key]) in [float, int]:
results["%s.%s" % (
prefix,
str(key).translate(string.maketrans(".", "_"))
)] = dic[key]
elif type(dic[key] in [dict]):
results.update(
GraphiteUploaderPlugin.__flatten(
dic[key],
"%s.%s" % (
prefix,
key.translate(string.maketrans(".", "_"))
)
)
)
except AttributeError:
pass
return results示例13: tm
def tm():
import sys
import nltk
import string
input_file_name = raw_input("Please enter the input file name: ")
input_path = raw_input("Please enter the input path: ")
output_file_name = raw_input("Please enter the output file name: ")
print '\nPlease note that the above entered filename would be used as',
print 'a prefix for the entire set of documents to be generated.\n'
output_path = raw_input("Please enter the output path: ")
with open (input_path + '\\' + input_file_name + '.txt','r') as f:
para = []
data = f.read()
selected=0
notselect=0
sentences = data.split("\n\n")
print "Total # of paragraphs",len(sentences)
for x in xrange(len(sentences)):
cond = sentences[x].endswith(".")
if cond:
cnt = sentences[x].count(".")
else:
cnt= sentences[x].count(".")+1
if cnt >5:
#print "paragraph ",x+1,"is selected"
selected+=1
sentences[x] = '@'+sentences[x].lower()
sentences[x] = sentences[x].translate(string.maketrans("",""),string.digits)
sentences[x] = sentences[x].translate(string.maketrans("",""),string.punctuation)
tokens = nltk.word_tokenize(sentences[x])
lemma = nltk.WordNetLemmatizer()
porter = nltk.PorterStemmer()
afewwords = [lemma.lemmatize(i) for i in tokens]
afewwords = [porter.stem(i) for i in tokens]
sentences[x] = ' '.join(afewwords)
para.append(sentences[x])
filename = output_path + '\\' + output_file_name + str(selected) + '.txt'
w = open(filename,'w')
w.write(''.join(para))
w.close()
para = []
else:
#print "paragraph ",x+1,"is not selected"
notselect+=1
#print "cnt - ", cnt
#print"\n"
print "# of paragraphs selected",selected
print "# of paragraphs not selected",notselect
f.close()示例14: checkData
def checkData(self,row):
jobTime = row[4]
jobTerm = row[5]
w1={'full time':1,'part time':-1,'':0} #this dictionary corresponds to time feature
w2={'permanent':0,'contract':1,'':-1} #this dictionary corresponds to term feature
if jobTime == '' or jobTerm == '':
s=row[2].lower()
s=s.translate(string.maketrans("‘’‚“”„†‡‰‹›!“#$%&‘()™*+,-�./0123456789:;<=>[email protected][\]_`{|}~–—΅Ά£¤¥¦§¨©�«¬®―°±²³΄µ¶·ΈΉΊ»Ό½ΎΏήίΰαβγδεζηθικλμνξοπρςστυφχψωϊϋόύώ�€Άβ—�ο�'"," "))
if jobTime=='':
if ('full time' in s and 'part time' in s) or ('full time' not in s and 'part time' not in s):
word1=''
else:
if 'full time' in s: #searching full time in description
word1='full time'
else:
word1='part time'
else:
word1=jobTime.translate(string.maketrans("_"," ")) #removing underscore from time feature value
if jobTerm=='':
if ('permanent' in s and 'contract' in s) or ('permanent' not in s and 'contract' not in s):
word2=''
else:
if 'permanent' in s: #searching permanent in description
word2='permanent'
else:
word2='contract'
else: word2=jobTerm.translate(string.maketrans("_"," ")) #removing underscore from term feature value
else:
word1=jobTime.translate(string.maketrans("_"," "))
word2=jobTerm.translate(string.maketrans("_"," "))
return [word1,w1[word1],word2,w2[word2]]示例15: url_sign
def url_sign( uri_path, params, client_id, signing_key ):
signing_key = signing_key.translate(string.maketrans('-_', '+/'))
padding_factor = ( 4 - len( signing_key ) % 4 ) % 4
signing_key += "=" * padding_factor
binary_key = base64.b64decode(unicode(signing_key).translate(dict(zip(map(ord, u'-_'), u'+/'))))
# construct URI for signing
uri_path_params = uri_path + '?'
first = True
for k in params.keys():
if not first:
uri_path_params += '&'
else:
first = False
uri_path_params = "%(base)s%(key)s=%(value)s" % {
'base':uri_path_params,
'key':k,
'value':urllib.quote_plus(str(params[k]))
}
uri_path_params += '&client=' + client_id
# Sign
digest = hmac.new(binary_key, uri_path_params, hashlib.sha1).digest()
digest = base64.b64encode( digest )
digest = digest.translate(string.maketrans('+/', '-_'))
return "%s&sig=%s" % ( uri_path_params, digest.rstrip('=') )