content stringlengths 7 1.05M |
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# 27 Remove Element
class Solution:
def removeElement(self, nums, val):
nums[:] = [x for x in nums if x != val]
return len(nums)
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word_list = [
"taken",
"table",
"taxes",
"taste",
"tales",
"tasty",
"tally",
"taboo",
"tacit",
"taxis",
"taper",
"tango",
"tacky",
"taint",
"tawny",
"taker",
"taunt",
"tarot",
"tabor",
"tardy",
"talon",
"tarry",
"tabby",
"taffy",
"tapas",
"tatty",
"tanto",
"tansy",
"talus",
"tater",
"takin",
"tabla",
"taupe",
"talky",
"taiga",
"tasse",
"taxon",
"tapir",
"tarty",
"tapis",
"tanka",
"tache",
"tabun",
"tawse",
"tanga",
"targe",
"tabes",
"taler",
"tazza",
"tacet",
"taluk",
"tarok",
"tafia",
"tails",
"tahrs",
"talcs",
"talas",
"talar",
"takes",
"takas",
"tains",
"tajes",
"taces",
"tabus",
"taber",
"tabid",
"tacos",
"tacks",
"tachs",
"taels",
"tacts",
"taroc",
"taros",
"tarre",
"tarps",
"tarns",
"tares",
"tardo",
"tared",
"tarts",
"tarsi",
"taped",
"tapes",
"tamal",
"talks",
"talls",
"tamed",
"tamer",
"tames",
"tamps",
"tamis",
"tammy",
"tangs",
"tangy",
"tanks",
"tazze",
"taxus",
"taxed",
"tawer",
"taxol"
]
temp = False
acc_words = []
for i in word_list:
for k in i:
if k in "eryuoshlb": temp = True
if temp:
print(i, ": No")
temp = False
else:
print(i, ": Yes")
acc_words.append(i)
print("Possibilites: " , acc_words)
# TACIT is right answer, i won
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def TiaraCreateTables(con):
# tweet tables
con.query(("create table if not exists tweets("
"id bigint not null,"
"user_id bigint not null,"
"retweets bigint not null,"
"favorites bigint not null,"
"primary key(user_id, id) using hash,"
"shard (user_id))"))
followback_terms = ['follow','seguro','retweet','mgwv','followback','followtrain','followtrick','teamfollowback']
followbacker_regex = " + ".join([("(lcase_body regexp '%s')" % ("[^a-z][^a-z]*".join(fl))) for fl in followback_terms])
maybe_followbacker_regex = " + ".join([("(lcase_body regexp '%s')" % fl) for fl in followback_terms])
con.query(("create columnar table if not exists tweets_storage("
"id bigint not null,"
"parent bigint default null,"
"user_id bigint not null,"
"parent_id bigint default null,"
"body blob, "
"ts datetime not null,"
"json json ,"
"lcase_body as lcase(cast(body as char)) persisted blob,"
"num_hashtags as ifnull(json_length(json::hashtags),0) persisted bigint, "
"num_media as ifnull(json_length(json::media),0) persisted bigint, "
"num_user_mentions as ifnull(json_length(json::user_mentions),0) persisted bigint, "
"num_urls as ifnull(json_length(json::urls),0) persisted bigint, "
"is_retweet as not isnull(json::retweeted_status) persisted boolean, "
"language as json::$lang persisted varbinary(200), "
"is_followbacker as %s persisted tinyint,"
"maybe_followbacker as %s persisted tinyint,"
"shard(user_id),"
"index(user_id, id) using clustered columnar)" % (followbacker_regex, maybe_followbacker_regex)))
con.query(("create table if not exists bot_tweets ("
"id bigint not null,"
"parent bigint default null,"
"user_id bigint not null,"
"parent_id bigint default null,"
"body blob, "
"ts datetime not null,"
"json json ,"
"conversation_id bigint not null, "
"favorites bigint not null, "
"retweets bigint not null, "
"key (conversation_id), "
"key (parent_id,parent), "
"primary key(user_id, id), "
"shard (user_id))"))
con.query(("create table if not exists ungettable_tweets("
"id bigint primary key,"
"errorcode int)"))
con.query(("create reference table if not exists conversation_upvotes("
"user_id bigint not null,"
"conversation_id bigint not null,"
"upvotes int not null,"
"primary key(user_id, conversation_id))"))
# user tables
con.query(("create table if not exists user_afflictions("
"id bigint,"
"affliction int,"
"primary key(id, affliction),"
"shard(id))"))
con.query(("create table if not exists users("
"id bigint primary key,"
"screen_name varbinary(200) not null,"
"num_followers bigint not null,"
"num_friends bigint not null,"
"language varbinary(200) not null,"
"updated timestamp default current_timestamp on update current_timestamp,"
"image_url varbinary(200),"
"key (screen_name))"))
con.query(("create table if not exists user_following_status("
"id bigint not null,"
"bot_id bigint not null,"
"following tinyint not null,"
"has_followed tinyint not null,"
"updated timestamp default current_timestamp on update current_timestamp,"
"unfollow_reason tinyint not null,"
"primary key(id, bot_id),"
"shard(id))"))
# TFIDF token tables
#
con.query(("create reference table if not exists token_id("
"id bigint primary key auto_increment,"
"token varbinary(200) not null,"
"unique key(token))"))
con.query(("create reference table if not exists token_representatives("
"id bigint not null,"
"token varbinary(200) primary key)"))
con.query(("create table if not exists user_token_frequency_proj_token("
"user_id bigint not null,"
"token bigint not null,"
"count bigint not null,"
"shard(token),"
"key(token, user_id) using clustered columnstore)"))
con.query(("create table if not exists user_token_frequency_proj_user("
"user_id bigint not null,"
"token bigint not null,"
"count bigint not null,"
"shard(token),"
"key(token, user_id) using clustered columnstore)"))
con.query(("create table if not exists tweet_tokens("
"user_id bigint not null,"
"id bigint not null,"
"token bigint not null,"
"shard(user_id),"
"key(user_id, id, token) using clustered columnstore)"))
con.query(("create reference table if not exists tweet_document_frequency("
"token bigint not null,"
"count bigint not null,"
"primary key(token) using hash)"))
con.query(("create reference table if not exists user_document_frequency("
"token bigint not null,"
"count bigint not null,"
"primary key(token) using hash)"))
# targeting tables
#
con.query(("create table if not exists ignored_users("
"id bigint primary key)"))
con.query(("create table if not exists target_candidates("
"id bigint not null,"
"bot_id bigint not null,"
"primary key(bot_id, id),"
"shard(id),"
"processed datetime default null,"
"eliminated tinyint not null)"))
con.query(("create reference table if not exists follower_cursors("
"id bigint not null,"
"bot_id bigint not null,"
"cursr bigint not null,"
"primary key(bot_id, id, cursr),"
"processed datetime default null)"))
con.query(("create reference table if not exists bots("
"id bigint primary key,"
"screen_name varbinary(200))"))
# materialized view for targeting state
#
con.query(("create table if not exists targeting_state("
"bot_id bigint not null,"
"user_id bigint not null,"
"last_targeted datetime not null,"
"tweets_to bigint not null,"
"primary key(bot_id, user_id),"
"shard(user_id))"))
def DropViews(con):
while True:
views = [r["table_name"] for r in con.query("select table_name from information_schema.views where table_schema='tiaraboom'")]
if len(views) == 0:
break
for v in views:
try:
con.query("drop view if exists %s" % v)
except Exception:
pass
def TiaraCreateViews(con):
views = {}
default_args = {}
DropViews(con)
# views for convinience
#
con.query(("create view tweets_joined as "
"select ts.id, ts.user_id, ts.parent_id, ts.parent, tweets.favorites, tweets.retweets, ts.body, ts.json, ts.ts "
"from tweets_storage ts join tweets tweets "
"on ts.user_id = tweets.user_id and ts.id = tweets.id "))
con.query(("create view tweets_joined_no_json as "
"select ts.id, ts.user_id, ts.parent_id, ts.parent, tweets.favorites, tweets.retweets, ts.body, ts.ts, '{}' as json "
"from tweets_storage ts join tweets tweets "
"on ts.user_id = tweets.user_id and ts.id = tweets.id "))
# views for user level TFIDF
#
con.query("create view user_document_frequency_view as "
"select token, count(distinct user_id) as count from user_token_frequency_proj_token group by 1")
con.query("create view user_token_frequency_aggregated "
"as select user_id, token, sum(count) as count "
"from user_token_frequency_proj_user "
"group by 1,2")
con.query("create view max_df_view as "
"select max(count) as val from user_document_frequency")
con.query("create view tfidf_view_internal as "
"select termfreq.token, termfreq.user_id, termfreq.count as tf, docfreq.count as df, "
"log(1 + termfreq.count) * log((select val from max_df_view)/(1+docfreq.count)) as tfidf "
"from user_token_frequency_aggregated termfreq join user_document_frequency docfreq "
"on termfreq.token = docfreq.token")
con.query("create view tfidf_view as "
"select tid.token, tid.id as token_id, users.screen_name, tf.user_id, tf.tf, tf.df, tf.tfidf "
"from tfidf_view_internal tf join token_id tid join users "
"on tf.token = tid.id and tf.user_id = users.id")
# views for tweet level TFIDF
#
con.query("create view max_tweet_df_view as "
"select max(count) as val from tweet_document_frequency ")
con.query("create view tweet_tfidf_view_internal as "
"select user_id, id, tt.token, "
"log(1000000/(1+tdf.count)) as tfidf "
"from tweet_tokens tt join tweet_document_frequency tdf "
"on tt.token = tdf.token " )
# views for selecting users to follow
#
con.query("create view followbackers_view as "
"select user_id from tweets_storage "
"group by 1 "
"having sum(is_followbacker) > 0 or avg(maybe_followbacker) > 0.5 ")
views["candidates_joined_view"] = """
select users.screen_name, users.id as uid, users.num_followers, users.num_friends, users.language,
ts.id as tid, ts.lcase_body,
ts.num_hashtags, ts.num_media, ts.num_urls, ts.num_user_mentions, ts.language as tweet_language,
ts.is_retweet, ts.ts, ts.is_followbacker, ts.maybe_followbacker, ts.parent_id,
tc.bot_id, tc.processed
from tweets_storage ts join users join target_candidates tc
on ts.user_id = users.id and users.id = tc.id
where not tc.eliminated
and users.id not in (select user_id from followbackers_view)
and users.id not in (select id from user_following_status where has_followed)
and users.id not in (select id from user_afflictions)
%(and_bot_id)s"""
default_args["and_bot_id"] = ""
con.query("create view candidates_joined_view as %s" % (views["candidates_joined_view"] % default_args))
views["candidates_joined_filtered_view"] = """
select bot_id, screen_name, uid, lcase_body, parent_id, num_followers, num_friends, processed, ts, is_followbacker, maybe_followbacker
from (%s) candidates_joined_view
where num_user_mentions <= 1 and num_media = 0 and num_hashtags <= 2 and num_urls = 0
and not is_retweet and ts > processed - interval 7 day and ts < processed
and num_followers <= 2500 and num_friends <= 2500 and num_followers >= 100 and num_friends >= 100
and language like 'en%%%%' and tweet_language like 'en%%%%' """
views["candidates_joined_filtered_view"] = views["candidates_joined_filtered_view"] % views["candidates_joined_view"]
con.query("create view candidates_joined_filtered_view as %s" % (views["candidates_joined_filtered_view"] % default_args))
views["candidates_view"] = """
select %%(bot_id_comma)s screen_name, uid, num_followers, num_friends, sum(if(parent_id is null, %%(extra_agg)s, 0)) as count, approx_count_distinct(parent_id) as convos
from (%s) candidates_joined_filtered_view
group by %%(bot_id_comma)s uid
having sum(%%(extra_agg)s) > 0"""
views["candidates_view"] = views["candidates_view"] % views["candidates_joined_filtered_view"]
default_args["bot_id_comma"] = "bot_id,"
default_args["extra_agg"] = "1"
con.query("create view candidates_view as %s" % (views["candidates_view"] % default_args))
views["candidates_predictors_view"] = """
select %%(bot_id_comma)s cv.screen_name, uid,
3 * (1 - (1 - num_followers/500) * (1 - num_followers/500)) as follower_score,
3 * (1 - (1 - num_friends/500) * (1 - num_friends/500)) as friend_score,
(1/2) * convos as convos_score,
(1/25) * cv.count as count_score
from (%s) cv """
views["candidates_predictors_view"] = views["candidates_predictors_view"] % views["candidates_view"]
con.query("create view candidates_predictors_view as %s" % (views["candidates_predictors_view"] % default_args))
views["candidates_scored_view"] = """
select %%(bot_id_comma)s screen_name, uid,
follower_score , friend_score , count_score , convos_score,
follower_score + friend_score + count_score + convos_score as score
from (%s) candidates_predictors_view"""
views["candidates_scored_view"] = views["candidates_scored_view"] % views["candidates_predictors_view"]
con.query("create view candidates_scored_view as %s" % (views["candidates_scored_view"] % default_args))
# bother targeting views
#
views["targeting_state_view"] = """
select user_id as ts_bot_id, parent_id as user_id, max(ts) as last_targeted, count(*) as tweets_to
from bot_tweets join bots
on bot_tweets.user_id = bots.id
where parent_id is not null %(and_bots_dot_id)s
group by %(user_id_comma)s bot_tweets.parent_id """
default_args["and_bots_dot_id"] = ""
default_args["user_id_comma"] = "user_id,"
con.query("create view targeting_state_view as %s" % views["targeting_state_view"] % default_args)
views["botherable_friends_view"] = """
select %%(bot_id_comma)s ufs.id as user_id
from user_following_status ufs
left join bot_tweets bs on bs.user_id = ufs.id and bs.parent_id = ufs.bot_id
left join (%s) ltv on ufs.id = ltv.user_id and ufs.bot_id = ltv.ts_bot_id
where ufs.following = 1
and (ltv.last_targeted is null or ltv.last_targeted < now() - interval 7 day)
and ufs.id not in (select id from user_afflictions)
and ufs.id not in (select user_id from followbackers_view)
%%(and_bot_id)s
group by %%(bot_id_comma)s ufs.id
having count(bs.user_id) > 0 or ltv.tweets_to is null or ltv.tweets_to <= 1"""
views["botherable_friends_view"] = views["botherable_friends_view"] % views["targeting_state_view"]
con.query("create view botherable_friends_view as %s" % (views["botherable_friends_view"] % default_args))
views["botherable_tweets_view"] = """
select %%(bot_id_comma)s bfv.user_id, ts.id, ts.lcase_body, timestampdiff(second, ts.ts, now()) as recentness,
tweets.favorites, tweets.retweets
from (%s) bfv join tweets_storage ts join tweets tweets
on bfv.user_id = ts.user_id and ts.user_id = tweets.user_id and ts.id = tweets.id
where ts.num_user_mentions = 0 and ts.num_media = 0 and ts.num_hashtags <= 2 and ts.num_urls = 0
and ts.parent_id is null and not ts.is_retweet and ts.ts > now() - interval 7 day
and ts.maybe_followbacker = 0
and ts.language like 'en%%%%'
%%(and_extra_pred)s"""
default_args["and_extra_pred"] = ""
views["botherable_tweets_view"] = views["botherable_tweets_view"] % views["botherable_friends_view"]
con.query("create view botherable_tweets_view as %s" % (views["botherable_tweets_view"] % default_args))
views["botherable_tweets_predictors_view"] = """
select %%(bot_id_comma)s btv.user_id, btv.id,
- recentness / (24 * 60 * 60) as recentness_score,
2 * (1 - (favorites/3 - 1) * (favorites/3 - 1)) as favorites_score,
2 * (1 - (retweets/2 - 1) * (retweets/2 - 1)) as retweets_score
from (%s) btv"""
views["botherable_tweets_predictors_view"] = views["botherable_tweets_predictors_view"] % views["botherable_tweets_view"]
con.query("create view botherable_tweets_predictors_view as %s" % (views["botherable_tweets_predictors_view"] % default_args))
views["botherable_tweets_scored_view_internal"] = """
select %%(bot_id_comma)s user_id, id,
recentness_score , favorites_score , retweets_score ,
recentness_score + favorites_score + retweets_score as score
from (%s) subq"""
views["botherable_tweets_scored_view_internal"] = views["botherable_tweets_scored_view_internal"] % views["botherable_tweets_predictors_view"]
con.query("create view botherable_tweets_scored_view_internal as %s" % (views["botherable_tweets_scored_view_internal"] % default_args))
con.query("create view botherable_tweets_scored_view as "
"select bots.screen_name as bot_name, concat('www.twitter.com/', users.screen_name, '/status/',csv.id) as url, "
" recentness_score , favorites_score , retweets_score , score "
"from botherable_tweets_scored_view_internal csv join bots join users "
"on bots.id = csv.bot_id and users.id = csv.user_id ")
# GC friend view
con.query("""
create view gc_friends_view as
select bot_id, ufs.id as user_id
from user_following_status ufs
left join bot_tweets bs on bs.user_id = ufs.id and bs.parent_id = ufs.bot_id
left join targeting_state_view ltv on ufs.id = ltv.user_id and ufs.bot_id = ltv.ts_bot_id
where ufs.following = 1
and (ltv.last_targeted < now() - interval 7 day)
and ufs.id not in (select id from user_afflictions)
group by bot_id, ufs.id
having count(bs.user_id) = 0 and ltv.tweets_to >= 2""")
# web populating views
con.query("create view conversations_view as "
"select bot_tweets.conversation_id, max(bot_tweets.id) as max_id, count(*) as count, "
" count(bots.id) as to_bots, count(bots2.id) as from_bots, max(bots2.screen_name) as bot_name, "
" ifnull(sum(cu.upvotes), 0) as upvotes, "
" sum((not isnull(bots2.id)) * bot_tweets.favorites) as bot_favorites, "
" sum((not isnull(bots2.id)) * bot_tweets.retweets) as bot_retweets "
"from bot_tweets "
" left join bots bots on bot_tweets.parent_id = bots.id "
" left join bots bots2 on bot_tweets.user_id = bots2.id "
" left join conversation_upvotes cu on cu.conversation_id = bot_tweets.conversation_id "
"group by bot_tweets.conversation_id")
return views
|
class Solution(object):
def intersect(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: List[int]
"""
s1 = sorted(nums1)
s2 = sorted(nums2)
result = []
i1 = i2 = 0
while i1 < len(s1) and i2 < len(s2):
if s1[i1] < s2[i2]:
i1 += 1
elif s1[i1] > s2[i2]:
i2 += 1
else:
result.append(s1[i1])
i1 += 1
i2 += 1
return result
|
# Write a function called “isOldEnoughToDrink”.
# Given a number, in this case an age, “isOldEnoughToDrink” returns whether a person
# of this given age is old enough to legally drink in the United States.
# Notes:
# The legal drinking age in the United States is 21.
def is_old_enough_to_drink(age):
if age >= 21:
return True
elif age < 21:
return False
print(is_old_enough_to_drink(23)) # Expect True
print(is_old_enough_to_drink(20)) # Expect False
|
class Solution(object):
def fullJustify(self, words, maxWidth):
"""
:type words: List[str]
:type maxWidth: int
:rtype: List[str]
"""
def format(wds, L):
wdslen = len(''.join(wds))
l = len(wds) - 1
res = ''
step = (L - wdslen) / l if l else L - len(wds[0]) - 1
diff = (L - wdslen) % l if l else 1
blanks = [' ' * (step + 1)] * diff + [' ' * step] * (l - diff)
for i in range(len(blanks)):
res += wds[i] + blanks[i]
res += wds[-1] if l else ''
return res
lines = []
res = []
tmp = 0
for i in range(len(words)):
word = words[i]
if tmp and tmp + len(word) < maxWidth:
lines[-1].append(word)
tmp += len(word) + 1
else:
tmp = 0
lines.append([])
lines[-1].append(word)
tmp = len(word)
for l in lines:
res.append(format(l, maxWidth))
if len(res):
res[-1] = ' '.join(res[-1].split())
res[-1] = res[-1] + (maxWidth - len(res[-1])) * ' '
return res
|
#
# PySNMP MIB module LIVINGSTON-PM-GLOBAL-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/LIVINGSTON-PM-GLOBAL-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 19:56:56 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, SingleValueConstraint, ConstraintsIntersection, ValueRangeConstraint, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "SingleValueConstraint", "ConstraintsIntersection", "ValueRangeConstraint", "ValueSizeConstraint")
lucentPMMib, = mibBuilder.importSymbols("LIVINGSTON-ROOT-MIB", "lucentPMMib")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
ObjectIdentity, MibIdentifier, MibScalar, MibTable, MibTableRow, MibTableColumn, NotificationType, TimeTicks, iso, Bits, Gauge32, Counter32, Integer32, Counter64, NotificationType, IpAddress, Unsigned32, ModuleIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "ObjectIdentity", "MibIdentifier", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "NotificationType", "TimeTicks", "iso", "Bits", "Gauge32", "Counter32", "Integer32", "Counter64", "NotificationType", "IpAddress", "Unsigned32", "ModuleIdentity")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
lucentPMGlobal = MibIdentifier((1, 3, 6, 1, 4, 1, 307, 1, 2, 1))
lucentPMGenGlobParams = MibIdentifier((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1))
lucentPMGenPriNameSrvr = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 1), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenPriNameSrvr.setStatus('mandatory')
lucentPMGenAltNameSrvr = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 3), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenAltNameSrvr.setStatus('mandatory')
lucentPMGenSyslogHost = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 4), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenSyslogHost.setStatus('mandatory')
lucentPMGenAssignedAddr = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 5), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenAssignedAddr.setStatus('mandatory')
lucentPMGenReportedAddr = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 6), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenReportedAddr.setStatus('mandatory')
lucentPMGenNetMask = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenNetMask.setStatus('mandatory')
lucentPMGenNameSvc = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("none", 1), ("dns", 2), ("nis", 3)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenNameSvc.setStatus('mandatory')
lucentPMGenDomainName = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 9), DisplayString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenDomainName.setStatus('mandatory')
lucentPMGenTelnetPortNum = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 10), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenTelnetPortNum.setStatus('mandatory')
lucentPMGenMaxConsConn = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 11), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenMaxConsConn.setStatus('mandatory')
lucentPMGenOSPF = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenOSPF.setStatus('mandatory')
lucentPMGenBGP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenBGP.setStatus('mandatory')
lucentPMGenIPX = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 14), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenIPX.setStatus('mandatory')
lucentPMGenNetBIOS = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 15), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenNetBIOS.setStatus('mandatory')
lucentPMGenCallCheck = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 1, 16), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("disable", 1), ("enable", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMGenCallCheck.setStatus('mandatory')
lucentPMRadiusMgmt = MibIdentifier((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2))
lucentPMRadiusPriIP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 1), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMRadiusPriIP.setStatus('mandatory')
lucentPMRadiusAltIP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 2), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMRadiusAltIP.setStatus('mandatory')
lucentPMRadiusPriAcctIP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 3), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMRadiusPriAcctIP.setStatus('mandatory')
lucentPMRadiusAltAcctIP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 4), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMRadiusAltAcctIP.setStatus('mandatory')
lucentPMRadiusPriPort = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 5), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMRadiusPriPort.setStatus('mandatory')
lucentPMRadiusAltPort = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 6), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMRadiusAltPort.setStatus('mandatory')
lucentPMRadiusPriAcctPort = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 7), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMRadiusPriAcctPort.setStatus('mandatory')
lucentPMRadiusAltAcctPort = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 8), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMRadiusAltAcctPort.setStatus('mandatory')
lucentPMRadiusAuthFails = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: lucentPMRadiusAuthFails.setStatus('mandatory')
lucentPMRadiusRetrans = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 10), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMRadiusRetrans.setStatus('mandatory')
lucentPMRadiusTimeout = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 11), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMRadiusTimeout.setStatus('mandatory')
lucentPMRadiusAuth = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMRadiusAuth.setStatus('mandatory')
lucentPMRadiusSecret = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 2, 13), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 15))).setMaxAccess("writeonly")
if mibBuilder.loadTexts: lucentPMRadiusSecret.setStatus('mandatory')
lucentPMChoiceNetMgmt = MibIdentifier((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3))
lucentPMChoiceNetPriIP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 1), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMChoiceNetPriIP.setStatus('mandatory')
lucentPMChoiceNetAltIP = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 2), IpAddress()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMChoiceNetAltIP.setStatus('mandatory')
lucentPMChoiceNetPriPort = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 3), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMChoiceNetPriPort.setStatus('mandatory')
lucentPMChoiceNetAltPort = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 4), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: lucentPMChoiceNetAltPort.setStatus('mandatory')
lucentPMChoiceNetSecret = MibScalar((1, 3, 6, 1, 4, 1, 307, 1, 2, 1, 3, 5), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 15))).setMaxAccess("writeonly")
if mibBuilder.loadTexts: lucentPMChoiceNetSecret.setStatus('mandatory')
mibBuilder.exportSymbols("LIVINGSTON-PM-GLOBAL-MIB", lucentPMGenAltNameSrvr=lucentPMGenAltNameSrvr, lucentPMChoiceNetPriPort=lucentPMChoiceNetPriPort, lucentPMRadiusTimeout=lucentPMRadiusTimeout, lucentPMGlobal=lucentPMGlobal, lucentPMRadiusPriPort=lucentPMRadiusPriPort, lucentPMRadiusPriAcctIP=lucentPMRadiusPriAcctIP, lucentPMRadiusMgmt=lucentPMRadiusMgmt, lucentPMGenMaxConsConn=lucentPMGenMaxConsConn, lucentPMRadiusAltAcctIP=lucentPMRadiusAltAcctIP, lucentPMRadiusPriAcctPort=lucentPMRadiusPriAcctPort, lucentPMRadiusRetrans=lucentPMRadiusRetrans, lucentPMRadiusAltIP=lucentPMRadiusAltIP, lucentPMGenIPX=lucentPMGenIPX, lucentPMGenCallCheck=lucentPMGenCallCheck, lucentPMChoiceNetSecret=lucentPMChoiceNetSecret, lucentPMRadiusAuthFails=lucentPMRadiusAuthFails, lucentPMGenGlobParams=lucentPMGenGlobParams, lucentPMRadiusSecret=lucentPMRadiusSecret, lucentPMGenTelnetPortNum=lucentPMGenTelnetPortNum, lucentPMChoiceNetAltIP=lucentPMChoiceNetAltIP, lucentPMGenReportedAddr=lucentPMGenReportedAddr, lucentPMGenNetMask=lucentPMGenNetMask, lucentPMGenOSPF=lucentPMGenOSPF, lucentPMGenNetBIOS=lucentPMGenNetBIOS, lucentPMGenDomainName=lucentPMGenDomainName, lucentPMGenAssignedAddr=lucentPMGenAssignedAddr, lucentPMChoiceNetAltPort=lucentPMChoiceNetAltPort, lucentPMGenPriNameSrvr=lucentPMGenPriNameSrvr, lucentPMRadiusPriIP=lucentPMRadiusPriIP, lucentPMGenSyslogHost=lucentPMGenSyslogHost, lucentPMRadiusAltAcctPort=lucentPMRadiusAltAcctPort, lucentPMRadiusAltPort=lucentPMRadiusAltPort, lucentPMGenNameSvc=lucentPMGenNameSvc, lucentPMChoiceNetMgmt=lucentPMChoiceNetMgmt, lucentPMChoiceNetPriIP=lucentPMChoiceNetPriIP, lucentPMGenBGP=lucentPMGenBGP, lucentPMRadiusAuth=lucentPMRadiusAuth)
|
class Solution:
def checkPossibility(self, nums):
"""
:type nums: List[int]
:rtype: bool
"""
# 记录修改次数
cnt = 0
# 循环指针
i = 0
while i < len(nums) - 1 and cnt <= 1:
if nums[i] > nums[i + 1]:
cnt += 1
if i == 0:
nums[i] = nums[i + 1]
elif nums[i - 1] <= nums[i + 1]:
nums[i] = nums[i + 1]
elif nums[i - 1] > nums[i + 1]:
nums[i + 1] = nums[i]
i += 1
return cnt <= 1
nums = [4, 2, 3]
s = Solution()
print(s.checkPossibility(nums))
|
class HashTable(object):
"""A hash table is a data structure that can map keys to values. The mapping
between an item and the slot where that item belongs is called the hash
function. In practice there can be hash collisions when the hash function
generates the same index for more than one key. This has to be managed.
In python hash tables are implemented as `dict`, to solve collisions they
use __eq__.
Time complexity: search, insert, delete: O(1)
Space complexity: O(n)
source: http://interactivepython.org/runestone/static/pythonds/SortSearch/Hashing.html#implementing-the-map-abstract-data-type
Args:
size (int): Size of the hash table.
Examples:
>>> H=HashTable(5)
>>> H[54]="cat"
>>> H[26]="dog"
>>> H[93]="lion"
>>> H.slots
[None, 26, None, 93, 54]
>>> H.data
[None, 'dog', None, 'lion', 'cat']
>>> H[26] = 'duck'
>>> H.data
[None, 'duck', None, 'lion', 'cat']
"""
def __init__(self, size):
self.size = size
self.slots = [None] * self.size
self.data = [None] * self.size
def put(self, key, data):
"""Add a key and value."""
hashvalue = self.hashfunction(key, len(self.slots))
if self.slots[hashvalue] is None:
self.slots[hashvalue] = key
self.data[hashvalue] = data
else:
if self.slots[hashvalue] == key:
self.data[hashvalue] = data # replace
else:
nextslot = self.rehash(hashvalue, len(self.slots))
while self.slots[nextslot] is not None and self.slots[nextslot] != key:
nextslot = self.rehash(nextslot, len(self.slots))
if self.slots[nextslot] is None:
self.slots[nextslot] = key
self.data[nextslot] = data
else:
self.data[nextslot] = data # replace
def hashfunction(self, key, size):
"""The hash function is a simple remainder method."""
return key % size
def rehash(self, oldhash, size):
"""The collision resolution technique is linear probing with a "plus 1"
rehash function. Linear probing is looking sequentially for the next
open slot"""
return (oldhash + 1) % size
def get(self, key):
"""Return the value of a key."""
startslot = self.hashfunction(key, len(self.slots))
data = None
stop = False
found = False
position = startslot
while self.slots[position] is not None and not found and not stop:
if self.slots[position] == key:
found = True
data = self.data[position]
else:
position = self.rehash(position, len(self.slots))
if position == startslot:
stop = True
return data
def __getitem__(self, key):
return self.get(key)
def __setitem__(self, key, data):
self.put(key, data)
|
#
# PySNMP MIB module ONEACCESS-SHDSL-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ONEACCESS-SHDSL-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:25:23 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, ValueSizeConstraint, ConstraintsIntersection, ValueRangeConstraint, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ValueSizeConstraint", "ConstraintsIntersection", "ValueRangeConstraint", "SingleValueConstraint")
hdsl2ShdslSpanConfProfileEntry, hdsl2ShdslEndpointCurrEntry, hdsl2ShdslSpanStatusEntry = mibBuilder.importSymbols("HDSL2-SHDSL-LINE-MIB", "hdsl2ShdslSpanConfProfileEntry", "hdsl2ShdslEndpointCurrEntry", "hdsl2ShdslSpanStatusEntry")
ifIndex, = mibBuilder.importSymbols("IF-MIB", "ifIndex")
oacExpIMSystem, = mibBuilder.importSymbols("ONEACCESS-GLOBAL-REG", "oacExpIMSystem")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
TimeTicks, iso, Gauge32, MibScalar, MibTable, MibTableRow, MibTableColumn, MibIdentifier, Counter64, Integer32, NotificationType, Bits, Unsigned32, ObjectIdentity, ModuleIdentity, IpAddress, Counter32 = mibBuilder.importSymbols("SNMPv2-SMI", "TimeTicks", "iso", "Gauge32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "MibIdentifier", "Counter64", "Integer32", "NotificationType", "Bits", "Unsigned32", "ObjectIdentity", "ModuleIdentity", "IpAddress", "Counter32")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
oacSHDSLMIBModule = ModuleIdentity((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3))
oacSHDSLMIBModule.setRevisions(('2011-06-15 00:00', '2010-08-20 00:01', '2010-07-30 00:01', '2010-07-08 00:01',))
if mibBuilder.loadTexts: oacSHDSLMIBModule.setLastUpdated('201106150000Z')
if mibBuilder.loadTexts: oacSHDSLMIBModule.setOrganization(' OneAccess ')
oacSHDSLObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1))
oacSHDSLSpanStatusTable = MibTable((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2), )
if mibBuilder.loadTexts: oacSHDSLSpanStatusTable.setStatus('current')
oacSHDSLSpanStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1), )
hdsl2ShdslSpanStatusEntry.registerAugmentions(("ONEACCESS-SHDSL-MIB", "oacSHDSLSpanStatusEntry"))
oacSHDSLSpanStatusEntry.setIndexNames(*hdsl2ShdslSpanStatusEntry.getIndexNames())
if mibBuilder.loadTexts: oacSHDSLSpanStatusEntry.setStatus('current')
oacSHDSLSpanStatusUpDown = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 1), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusUpDown.setStatus('current')
oacSHDSLSpanStatusCurrStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 2), OctetString().subtype(subtypeSpec=ValueSizeConstraint(30, 30)).setFixedLength(30)).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrStatus.setStatus('current')
oacSHDSLSpanStatusCurrShowtimeStart = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrShowtimeStart.setStatus('current')
oacSHDSLSpanStatusCurrCellDelin = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrCellDelin.setStatus('current')
oacSHDSLSpanStatusCurrCRCanomalies = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrCRCanomalies.setStatus('current')
oacSHDSLSpanStatusCurrHECErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 6), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrHECErrors.setStatus('current')
oacSHDSLSpanStatusCurrRxCells = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrRxCells.setStatus('current')
oacSHDSLSpanStatusCurrTxCells = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 8), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrTxCells.setStatus('current')
oacSHDSLSpanStatusCurrRxDrops = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrRxDrops.setStatus('current')
oacSHDSLSpanStatusCurrES = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrES.setStatus('current')
oacSHDSLSpanStatusCurrSES = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 11), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrSES.setStatus('current')
oacSHDSLSpanStatusCurrLOSWS = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 12), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrLOSWS.setStatus('current')
oacSHDSLSpanStatusCurrUAS = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 13), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrUAS.setStatus('current')
oacSHDSLSpanStatusCurrConstellation = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 2, 1, 14), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(2, 3))).clone(namedValues=NamedValues(("tcPam16", 2), ("tcPam32", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanStatusCurrConstellation.setStatus('current')
oacSHDSLEndpointCurrTable = MibTable((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5), )
if mibBuilder.loadTexts: oacSHDSLEndpointCurrTable.setStatus('current')
oacSHDSLEndpointCurrEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1), )
hdsl2ShdslEndpointCurrEntry.registerAugmentions(("ONEACCESS-SHDSL-MIB", "oacSHDSLEndpointCurrEntry"))
oacSHDSLEndpointCurrEntry.setIndexNames(*hdsl2ShdslEndpointCurrEntry.getIndexNames())
if mibBuilder.loadTexts: oacSHDSLEndpointCurrEntry.setStatus('current')
oacSHDSLEndpointCurrAtn = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1270, 1280))).setUnits('dB/10').setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrAtn.setStatus('current')
oacSHDSLEndpointCurrSnrMgn = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-1270, 1280))).setUnits('dB/10').setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrSnrMgn.setStatus('current')
oacSHDSLEndpointCurrTxPwr = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 3), Integer32()).setUnits('dB/10').setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrTxPwr.setStatus('current')
oacSHDSLEndpointCurrRxGain = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 4), Integer32()).setUnits('dB/10').setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrRxGain.setStatus('current')
oacSHDSLEndpointCurrMaxAttainableLineRate = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 5), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrMaxAttainableLineRate.setStatus('current')
oacSHDSLEndpointCurrCommands = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 6), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrCommands.setStatus('current')
oacSHDSLEndpointCurrResponses = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 7), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrResponses.setStatus('current')
oacSHDSLEndpointCurrdiscardedCommands = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 8), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrdiscardedCommands.setStatus('current')
oacSHDSLEndpointCurrerroredCommands = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 9), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrerroredCommands.setStatus('current')
oacSHDSLEndpointCurrReceivedFrames = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 10), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrReceivedFrames.setStatus('current')
oacSHDSLEndpointCurrBadTransparency = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 11), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrBadTransparency.setStatus('current')
oacSHDSLEndpointCurrBadFCS = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 12), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrBadFCS.setStatus('current')
oacSHDSLEndpointCurrEOCStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 5, 1, 13), OctetString().subtype(subtypeSpec=ValueSizeConstraint(50, 50)).setFixedLength(50)).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrEOCStatus.setStatus('current')
oacSHDSLEndpointCurrretrainTable = MibTable((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7), )
if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainTable.setStatus('current')
oacSHDSLEndpointCurrretrainEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1), )
hdsl2ShdslEndpointCurrEntry.registerAugmentions(("ONEACCESS-SHDSL-MIB", "oacSHDSLEndpointCurrretrainEntry"))
oacSHDSLEndpointCurrretrainEntry.setIndexNames(*hdsl2ShdslEndpointCurrEntry.getIndexNames())
if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainEntry.setStatus('current')
oacSHDSLEndpointCurrretrainSQPAIR = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 1), Integer32()).setUnits('SQPAIR').setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainSQPAIR.setStatus('current')
oacSHDSLEndpointCurrretrainSQLINE = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 2), Integer32()).setUnits('SQLINE').setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainSQLINE.setStatus('current')
oacSHDSLEndpointCurrretrainCRCPAIR = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 3), Integer32()).setUnits('CRCPAIR').setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainCRCPAIR.setStatus('current')
oacSHDSLEndpointCurrretrainCRCLINE = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 4), Integer32()).setUnits('CRCLINE').setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainCRCLINE.setStatus('current')
oacSHDSLEndpointCurrretrainFsyncPAIR = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 5), Integer32()).setUnits('FsyncPAIR').setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainFsyncPAIR.setStatus('current')
oacSHDSLEndpointCurrretrainFsyncLINE = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 6), Integer32()).setUnits('FsyncLINE').setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainFsyncLINE.setStatus('current')
oacSHDSLEndpointCurrretrainFSyncSQPAIR = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 7), Integer32()).setUnits('FSync&SQPAIR').setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainFSyncSQPAIR.setStatus('current')
oacSHDSLEndpointCurrretrainFSyncSQLINE = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 7, 1, 8), Integer32()).setUnits('FSync&SQLINE').setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLEndpointCurrretrainFSyncSQLINE.setStatus('current')
oacSHDSLTraps = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 2))
oacSHDSLTrapPrefix = MibIdentifier((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 2, 0))
oacSHDSLHardDownTrap = NotificationType((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 2, 0, 1))
if mibBuilder.loadTexts: oacSHDSLHardDownTrap.setStatus('current')
oacSHDSLSpanConfProfileTable = MibTable((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10), )
if mibBuilder.loadTexts: oacSHDSLSpanConfProfileTable.setStatus('current')
oacSHDSLSpanConfProfileEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1), )
hdsl2ShdslSpanConfProfileEntry.registerAugmentions(("ONEACCESS-SHDSL-MIB", "oacSHDSLSpanConfProfileEntry"))
oacSHDSLSpanConfProfileEntry.setIndexNames(*hdsl2ShdslSpanConfProfileEntry.getIndexNames())
if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEntry.setStatus('current')
oacSHDSLSpanConfProfileConstellation = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("auto", 1), ("tcPam16", 2), ("tcPam32", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanConfProfileConstellation.setStatus('current')
oacSHDSLSpanConfProfileAutoConfig = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanConfProfileAutoConfig.setStatus('current')
oacSHDSLSpanConfProfileCaplist = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("newstyle", 1), ("oldstyle", 2), ("auto", 3)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanConfProfileCaplist.setStatus('current')
oacSHDSLSpanConfProfileEfmAggregation = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("disabled", 1), ("auto", 2), ("negotiated", 3), ("static", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEfmAggregation.setStatus('current')
oacSHDSLSpanConfProfileCrcCheck = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 30))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanConfProfileCrcCheck.setStatus('current')
oacSHDSLSpanConfProfileMeansqCheck = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 30))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanConfProfileMeansqCheck.setStatus('current')
oacSHDSLSpanConfProfileMeansqThreshold = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(-2, 10))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanConfProfileMeansqThreshold.setStatus('current')
oacSHDSLSpanConfProfileLineProbing = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 8), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("adaptive", 1), ("normal", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: oacSHDSLSpanConfProfileLineProbing.setStatus('current')
oacSHDSLSpanConfProfileEocManagement = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("enabled", 1), ("disabled", 2))).clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEocManagement.setStatus('current')
oacSHDSLSpanConfProfileEocStatusPollDelay = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 29))).setUnits('seconds').setMaxAccess("readwrite")
if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEocStatusPollDelay.setStatus('current')
oacSHDSLSpanConfProfileEocStatusPollInterval = MibTableColumn((1, 3, 6, 1, 4, 1, 13191, 10, 3, 3, 3, 1, 10, 1, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(ValueRangeConstraint(30, 30), ValueRangeConstraint(60, 60), ValueRangeConstraint(90, 90), ValueRangeConstraint(120, 120), )).clone(30)).setUnits('seconds').setMaxAccess("readwrite")
if mibBuilder.loadTexts: oacSHDSLSpanConfProfileEocStatusPollInterval.setStatus('current')
mibBuilder.exportSymbols("ONEACCESS-SHDSL-MIB", oacSHDSLSpanStatusCurrUAS=oacSHDSLSpanStatusCurrUAS, oacSHDSLEndpointCurrretrainFsyncLINE=oacSHDSLEndpointCurrretrainFsyncLINE, oacSHDSLEndpointCurrTxPwr=oacSHDSLEndpointCurrTxPwr, oacSHDSLEndpointCurrretrainCRCLINE=oacSHDSLEndpointCurrretrainCRCLINE, oacSHDSLTraps=oacSHDSLTraps, oacSHDSLSpanConfProfileMeansqCheck=oacSHDSLSpanConfProfileMeansqCheck, oacSHDSLSpanStatusCurrStatus=oacSHDSLSpanStatusCurrStatus, oacSHDSLSpanConfProfileEocStatusPollDelay=oacSHDSLSpanConfProfileEocStatusPollDelay, oacSHDSLEndpointCurrretrainCRCPAIR=oacSHDSLEndpointCurrretrainCRCPAIR, oacSHDSLSpanConfProfileMeansqThreshold=oacSHDSLSpanConfProfileMeansqThreshold, PYSNMP_MODULE_ID=oacSHDSLMIBModule, oacSHDSLEndpointCurrdiscardedCommands=oacSHDSLEndpointCurrdiscardedCommands, oacSHDSLMIBModule=oacSHDSLMIBModule, oacSHDSLSpanConfProfileConstellation=oacSHDSLSpanConfProfileConstellation, oacSHDSLEndpointCurrretrainEntry=oacSHDSLEndpointCurrretrainEntry, oacSHDSLSpanStatusCurrLOSWS=oacSHDSLSpanStatusCurrLOSWS, oacSHDSLSpanConfProfileEfmAggregation=oacSHDSLSpanConfProfileEfmAggregation, oacSHDSLSpanStatusCurrSES=oacSHDSLSpanStatusCurrSES, oacSHDSLSpanStatusCurrRxDrops=oacSHDSLSpanStatusCurrRxDrops, oacSHDSLEndpointCurrAtn=oacSHDSLEndpointCurrAtn, oacSHDSLTrapPrefix=oacSHDSLTrapPrefix, oacSHDSLSpanConfProfileTable=oacSHDSLSpanConfProfileTable, oacSHDSLEndpointCurrRxGain=oacSHDSLEndpointCurrRxGain, oacSHDSLSpanStatusCurrTxCells=oacSHDSLSpanStatusCurrTxCells, oacSHDSLEndpointCurrResponses=oacSHDSLEndpointCurrResponses, oacSHDSLSpanStatusCurrConstellation=oacSHDSLSpanStatusCurrConstellation, oacSHDSLEndpointCurrretrainFSyncSQLINE=oacSHDSLEndpointCurrretrainFSyncSQLINE, oacSHDSLSpanConfProfileLineProbing=oacSHDSLSpanConfProfileLineProbing, oacSHDSLEndpointCurrTable=oacSHDSLEndpointCurrTable, oacSHDSLSpanConfProfileCrcCheck=oacSHDSLSpanConfProfileCrcCheck, oacSHDSLEndpointCurrSnrMgn=oacSHDSLEndpointCurrSnrMgn, oacSHDSLSpanConfProfileEocStatusPollInterval=oacSHDSLSpanConfProfileEocStatusPollInterval, oacSHDSLEndpointCurrMaxAttainableLineRate=oacSHDSLEndpointCurrMaxAttainableLineRate, oacSHDSLObjects=oacSHDSLObjects, oacSHDSLSpanConfProfileAutoConfig=oacSHDSLSpanConfProfileAutoConfig, oacSHDSLSpanStatusTable=oacSHDSLSpanStatusTable, oacSHDSLEndpointCurrretrainFsyncPAIR=oacSHDSLEndpointCurrretrainFsyncPAIR, oacSHDSLEndpointCurrReceivedFrames=oacSHDSLEndpointCurrReceivedFrames, oacSHDSLSpanConfProfileCaplist=oacSHDSLSpanConfProfileCaplist, oacSHDSLSpanStatusEntry=oacSHDSLSpanStatusEntry, oacSHDSLSpanStatusUpDown=oacSHDSLSpanStatusUpDown, oacSHDSLHardDownTrap=oacSHDSLHardDownTrap, oacSHDSLEndpointCurrretrainTable=oacSHDSLEndpointCurrretrainTable, oacSHDSLSpanConfProfileEntry=oacSHDSLSpanConfProfileEntry, oacSHDSLEndpointCurrEntry=oacSHDSLEndpointCurrEntry, oacSHDSLEndpointCurrBadTransparency=oacSHDSLEndpointCurrBadTransparency, oacSHDSLEndpointCurrBadFCS=oacSHDSLEndpointCurrBadFCS, oacSHDSLSpanStatusCurrRxCells=oacSHDSLSpanStatusCurrRxCells, oacSHDSLEndpointCurrCommands=oacSHDSLEndpointCurrCommands, oacSHDSLEndpointCurrretrainSQLINE=oacSHDSLEndpointCurrretrainSQLINE, oacSHDSLSpanStatusCurrES=oacSHDSLSpanStatusCurrES, oacSHDSLSpanStatusCurrCRCanomalies=oacSHDSLSpanStatusCurrCRCanomalies, oacSHDSLSpanStatusCurrShowtimeStart=oacSHDSLSpanStatusCurrShowtimeStart, oacSHDSLEndpointCurrEOCStatus=oacSHDSLEndpointCurrEOCStatus, oacSHDSLEndpointCurrretrainFSyncSQPAIR=oacSHDSLEndpointCurrretrainFSyncSQPAIR, oacSHDSLSpanStatusCurrHECErrors=oacSHDSLSpanStatusCurrHECErrors, oacSHDSLEndpointCurrerroredCommands=oacSHDSLEndpointCurrerroredCommands, oacSHDSLSpanConfProfileEocManagement=oacSHDSLSpanConfProfileEocManagement, oacSHDSLEndpointCurrretrainSQPAIR=oacSHDSLEndpointCurrretrainSQPAIR, oacSHDSLSpanStatusCurrCellDelin=oacSHDSLSpanStatusCurrCellDelin)
|
"""
Problem 2_2:
Write a function 'problem2_2()' that takes a list and does the following to it.
Actually, I've started the function for you below. Your function should do all
of the following, each on a separate line. Recall that lists start numbering
with 0.
0) print the whole list (this doesn't require a while or for loop)
1) print the item with index 0
2) print the last item in the list
3) print the items with indexes 3 through 5 but not including 5
4) print the items up to the one with index 3 but not including item 3
5) print the items starting at index 3 and going through the end.
6) print the length of the list ( use len() )
7) Use the append() method of a list to append the letter "z" onto a list.
Print the list with z appended.
Make sure that your function also works with blist below. For this to work,
you cannot use alist as a variable inside your function.
"""
#%%
alist = ["a","e","i","o","u","y"]
blist = ["alpha", "beta", "gamma", "delta", "epsilon", "eta", "theta"]
def problem2_2(my_list):
print(my_list)
print(my_list[0])
print(my_list[-1])
print(my_list[3:5])
print(my_list[:3])
print(my_list[3:])
print(len(my_list))
my_list.append("z")
print(my_list)
|
def yuvarla(s):
return round(s+0.000001, 0)
def odevnotuhesapla(v):
odevnotu = 50 + v/2
return odevnotu
def orthesapla(v,o,f):
ort = v*0.3 + o*0.2 + f*0.5
return ort
vize = 60
final = 55
odev = odevnotuhesapla(vize)
print('odevnotu: ', odev)
ort = orthesapla(vize, odev, final)
print('ort: ', ort)
orty = round(ort, 0)
print('orty: ', orty)
ortyeni = yuvarla(ort)
print('ortyeni: ', ortyeni)
print("--------------------")
n = 11
for i in range(1,n):
print(i, end='')
print()
s= 'Matematik'
for i in s:
print(i, end='')
print()
for i in range(len(s)):
print(i, '->', s[i])
print("--------------------")
s = '160a95!253.20'
b = False
for i in range(len(s)):
if not (s[i] in '0123456789'):
b = True
if b == True:
print('girilen veride rakamlardan başka karakterler var.')
print("--------------------")
def buyukharfecevir(s):
s = s.replace('ğ', 'Ğ') # replace->yerine koy
s = s.replace('ü', 'Ü') # upper() ->büyük harfe çevir
s = s.replace('ş', 'Ş')
s = s.replace('i', 'İ')
s = s.replace('ı', 'I')
s = s.replace('ö', 'Ö')
s = s.replace('ç', 'Ç')
s = s.upper()
return s
s = 'Bu gün hava çok Güzel. ğüşiıöç'
print('büyük harfe çevirmeden önce: ')
print(s)
print()
s = buyukharfecevir(s)
print('BÜYÜK HARFE çevirdikten sonra: ')
print(s) |
class AtaqueMonstro:
def __init__(
self,
id: int,
nome: str,
quantidade_dado: int,
numero_faces: int,
dano_bonus: int,
acerto: int = 0,
cd: int = 0,
teste: str = None
):
self.__id = id
self.__nome = nome
self.__quantidade_dado = quantidade_dado
self.__numero_faces = numero_faces
self.__dano_bonus = dano_bonus
self.__acerto = acerto
self.__cd = cd
self.__teste = teste
@property
def id(self) -> int:
return self.__id
@property
def nome(self):
return self.__nome
@nome.setter
def nome(self, nome: str):
if isinstance(nome, str):
self.__nome = nome
@property
def quantidade_dado(self):
return self.__quantidade_dado
@quantidade_dado.setter
def quantidade_dado(self, quantidade: int):
if isinstance(quantidade, int):
self.__quantidade_dado = quantidade
@property
def numero_faces(self):
return self.__numero_faces
@numero_faces.setter
def numero_faces(self, dado: int):
if isinstance(dado, int):
self.__numero_faces = dado
@property
def dano_bonus(self):
return self.__dano_bonus
@dano_bonus.setter
def dano_bonus(self, dano: int):
if isinstance(dano, int):
self.__dano_bonus = dano
@property
def acerto(self):
return self.__acerto
@acerto.setter
def acerto(self, acerto: int):
if isinstance(acerto, int):
self.__acerto = acerto
@property
def cd(self):
return self.__cd
@cd.setter
def cd(self, cd: int):
if isinstance(cd, int):
self.__cd = cd
@property
def teste(self):
return self.__teste
@teste.setter
def teste(self, teste: str):
if isinstance(teste, str):
self.__teste = teste
|
print(map(abs, [1,-2,3,-4]))
l=list(map(abs, [1,-2,3,-4]))
print(l) #>>[1,2,3,4]
def addOne(num):
return num+1
li=list(map(addOne, l))
print(li) #>>[2,3,4,5]
lis = map(addOne, li)
print(lis.__next__()) #>>3
print(lis.__next__()) #>>4
print(lis.__next__()) #>>5
print(lis.__next__()) #>>6
def applyToEach(L, f):
for i in range(len(L)):
L[i] = f(L[i])
testList = [1, -4, 8, -9]
def mulByFiv(x):
return 5*x
applyToEach(testList, mulByFiv)
print(testList)
print(testList)
nL = [1, 4, 8, 9]
print(nL)
def applytooEach(L, f):
for i in range(len(L)):
L[i] = f(L[i], i)
def myFun(x, i):
if i%2 == 0:
x = x+1
return x
else:
x = x -10
return x
applytooEach(nL, myFun)
print(nL)
def applyEachTo(L, x):
result = []
for i in range(len(L)):
result.append(L[i](x))
print(str(result)+" "+str(L[i]))
return result
def square(a):
return a*a
def halve(a):
return a/2
def inc(a):
return a+1
listt=list(applyEachTo([inc, square, halve, abs], 3.0))
print(listt)
|
N=int(input())
S=[list(input()) for i in range(N)]
takahashi=0
aoki=0
for s in S:
takahashi+=s.count("R")
aoki+=s.count("B")
print("TAKAHASHI" if takahashi>aoki else "AOKI" if takahashi<aoki else "DRAW") |
class Bunch(object):
"""Convert a dictionary to a class."""
def __init__(self, adict):
self.__dict__.update(adict)
def static_vars(**kwargs):
"""Enable static variables for functions persistent over several calls."""
def decorate(func):
for k in kwargs:
setattr(func, k, kwargs[k])
return func
return decorate
def flatten(container):
"""Flatten a nested list."""
for i in container:
if isinstance(i, (list, tuple)):
for j in flatten(i):
yield j
else:
yield i
def unflatten(flat_list, skeleton):
"""Recreate a nested list from a flattened list."""
it = iter(flat_list)
def rec(skel):
result = []
for cursk in skel:
if isinstance(cursk, int):
for i in range(cursk):
result.append(next(it))
else:
result.append(rec(cursk))
return result
result = rec(skeleton)
# check if all elements traversed
try:
next(it)
raise IndexError
except StopIteration:
return result
|
# Third order Newton's method
max_steps = 50 ## max number of iterations to use
x0 = 2.
def f(x):
return x**3 - 2.
def fp(x):
return 3*x**2
def fpp(x):
return 6*x
def third_order():
global x
x = []
x.append(x0)
for i in range(max_steps):
x.append(x[i] - f(x[i])/fp(x[i]) - (fpp(x[i])*f(x[i])**2)/(fp(x[i])**3))
return x
|
#LeetCode problem 819: Most Common Word
class Solution:
def mostCommonWord(self, paragraph: str, banned: List[str]) -> str:
ban = set(banned)
words = re.findall(r'\w+', paragraph.lower())
return collections.Counter(w for w in words if w not in ban).most_common(1)[0][0] |
#!/usr/bin/env python
target = 325489
# test values:
# target = 23
# target = 12
# target = 1024
iter = 0
while True:
iter += 1
n = 2 * iter + 1
if n ** 2 >= target:
maxval = n ** 2
break
if __debug__: print(
"Matrix size is {}x{}. Greatest value at [{},{}] is {}".format(n, n, iter, iter, n ** 2))
xcoord = iter
ycoord = iter
if target >= maxval - (n - 1):
# answer is on bottom row
xcoord -= maxval - target
elif target >= maxval - 2 * (n - 1):
# answer is on left column
xcoord = -iter
ycoord -= maxval - n - 1 - target
elif target >= maxval - 3 * (n - 1):
# answer is on top row
ycoord = - iter
xcoord -= maxval - 2 * (n - 1) - target
else:
# answer is on right column
ycoord -= maxval - 3 * (n - 1) - target
print("Target coordinate is [{},{}]".format(xcoord, ycoord))
result = abs(xcoord) + abs(ycoord)
print("Path is: {}".format(result))
# part2: sequence A141481
with open('seq.txt', 'r') as f:
for line in f:
v = int(line.strip())
if v >= target:
print("Result2: {}".format(v))
break
u"""
--- Day 3: Spiral Memory ---
You come across an experimental new kind of memory stored on an infinite two-dimensional grid.
Each square on the grid is allocated in a spiral pattern starting at a location marked 1 and then counting up while spiraling outward. For example, the first few squares are allocated like this:
17 16 15 14 13
18 5 4 3 12
19 6 1 2 11
20 7 8 9 10
21 22 23---> ...
While this is very space-efficient (no squares are skipped), requested data must be carried back to square 1 (the location of the only access port for this memory system) by programs that can only move up, down, left, or right. They always take the shortest path: the Manhattan Distance between the location of the data and square 1.
For example:
Data from square 1 is carried 0 steps, since it's at the access port.
Data from square 12 is carried 3 steps, such as: down, left, left.
Data from square 23 is carried only 2 steps: up twice.
Data from square 1024 must be carried 31 steps.
How many steps are required to carry the data from the square identified in your puzzle input all the way to the access port?
--- Part Two ---
As a stress test on the system, the programs here clear the grid and then store the value 1 in square 1. Then, in the same allocation order as shown above, they store the sum of the values in all adjacent squares, including diagonals.
So, the first few squares' values are chosen as follows:
Square 1 starts with the value 1.
Square 2 has only one adjacent filled square (with value 1), so it also stores 1.
Square 3 has both of the above squares as neighbors and stores the sum of their values, 2.
Square 4 has all three of the aforementioned squares as neighbors and stores the sum of their values, 4.
Square 5 only has the first and fourth squares as neighbors, so it gets the value 5.
Once a square is written, its value does not change. Therefore, the first few squares would receive the following values:
147 142 133 122 59
304 5 4 2 57
330 10 1 1 54
351 11 23 25 26
362 747 806---> ...
What is the first value written that is larger than your puzzle input?
"""
|
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0.435159678: [0.2828282828283, 0.1717171717172, 0.8282828282828, 0.7171717171717], 0.37026834: [0.3232323232323, 0.7676767676768, 0.2323232323232, 0.6767676767677], 0.900826446: [0.2424242424242, 0.9090909090909, 0.4242424242424, 0.7575757575758, 0.0909090909091, 0.5757575757576], 0.039485767: [0.030303030303, 0.969696969697, 0.3636363636364, 0.6969696969697, 0.6363636363636, 0.3030303030303], 0.272931334: [0.1414141414141, 0.8585858585859, 0.4141414141414, 0.5858585858586], 0.706152433: [0.969696969697, 0.030303030303, 0.3636363636364, 0.6969696969697, 0.6363636363636, 0.3030303030303], 0.544536272: [0.030303030303, 0.969696969697, 0.3636363636364, 0.6969696969697, 0.6363636363636, 0.3030303030303], 0.809203143: [0.2222222222222, 0.7777777777778], 0.50127538: [0.4646464646465, 0.5353535353535, 0.3535353535354, 0.6464646464646], 0.21661055: [0.4444444444444, 0.5555555555556], 0.61452913: [0.040404040404, 0.4040404040404, 0.959595959596, 0.5959595959596], 0.549637792: [0.1616161616162, 0.3838383838384, 0.6161616161616, 0.8383838383838], 0.082542598: [0.2626262626263, 0.7373737373737, 0.3737373737374, 0.6262626262626], 0.575757576: [0.0, 0.3333333333333, 0.6666666666667], 0.387409448: [0.0808080808081, 0.8080808080808, 0.1919191919192, 0.9191919191919]} |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
"""
@Project: point_set_platform
@Author: anzii.Luo
@Describe:
@Date: 2021/8/3
"""
|
''' Regex Version of strip
Author: <your name>
'''
def restrip(string, chars=None):
'''Given a string, do the same thing as the strip() string method.
If no other arguments are passed other than the string, then
whitespace characters will be removed from the beginning and end
of the string. Otherwise, the characters speci ed in the second
argu- ment to the function will be removed from the string.
'''
# place your solution in this function |
def letters(word):
ls = set()
for c in word:
ls |= {c}
return ls
def test_letters():
assert letters("book") == {'b', 'k', 'o'}
assert letters("few") == {'f', 'e', 'w'}
def letter_count(word):
lc = {}
for c in word:
if c in lc:
lc[c] += 1
else:
lc[c] = 1
return lc
def test_letter_count():
assert letter_count("book") == {'b': 1, 'o': 2, 'k': 1} |
WSStyleSheet = '''
QWidget {
color: #ddd;
background: transparent;
}
QWidget:disabled {
color: #232323;
background-color: transparent;
}
QLineEdit {
border: 1px solid #232323;
border-radius: 4px;
}
QToolTip {
border: 1px solid #232323;
background: #232323;
color: #ddd;
}
QLineEdit:hover, QLineEdit:focus {
border: 1px solid #FFC132;
selection-color: #232323;
selection-background-color: #FFC132;
}
QCheckBox::indicator {
width : 12px;
height : 12px;
border-radius: 8px;
border: 2px solid #232323;
}
QCheckBox::indicator:checked:hover, QCheckBox::indicator:unchecked:hover {
border: 2px solid #FFC132;
}
QCheckBox::indicator:checked {
background: #ddd;
}
QCheckBox::indicator:unchecked {
background: #232323;
}
QAbstractItemView {
border: 1px solid #232323;
selection-color: #232323;
selection-background-color: #FFC132;
}
QHeaderView::section {
Background-color:#232323;
padding:5px;
border:0;
font-weight: bold;
}
QScrollBar:vertical {
background: transparent;
width: 8px;
border: 0;
}
QScrollBar::handle:vertical {
background: #232323;
min-height: 20px;
border-radius: 4px;
}
QScrollBar::handle:vertical:hover {
background: #FFC132;
}
QScrollBar::add-line:vertical, QScrollBar::sub-line:vertical, QScrollBar::add-page:vertical, QScrollBar::sub-page:vertical {
border: none;
background: none;
}
QScrollBar:horizontal {
background: transparent;
height: 8px;
border: 1px solid #232323;
}
QScrollBar::handle:horizontal {
background: #232323;
min-width: 20px;
border-radius: 4px;
}
QScrollBar::handle:horizontal:hover {
background: #FFC132;
}
QScrollBar::add-line:horizontal, QScrollBar::sub-line:horizontal, QScrollBar::add-page:horizontal, QScrollBar::sub-page:horizontal {
border: none;
background: none;
}
QPushButton {
background-color: #555;
border: 2px solid #555;
padding: 5px;
border-radius: 4px;
padding-left: 5px;
padding-right: 5px;
}
QPushButton:hover{
color: #FFC132;
border-color: #FFC132;
}
QPushButton:pressed, QPushButton:checked {
color: #232323;
border-color: #FFC132;
background-color: #FFC132;
}
QPushButton:checked{
color: #FFC132;
border-color: #FFC132;
background-color: #232323;
font-weight: bold;
}
''' |
class Solution:
def minCostII(self, costs: List[List[int]]) -> int:
if not any(costs):
return 0
n, k = len(costs), len(costs[0])
for i in range(1, n):
first, first_idx, second = math.inf, 0, math.inf
for j, val in enumerate(costs[i - 1]):
if val < first:
first, first_idx, second = val, j, first
elif val < second:
second = val
for j in range(k):
if j == first_idx:
costs[i][j] += second
else:
costs[i][j] += first
return min(costs[-1])
|
libraries = ''
entity_header = '''`timescale 1 ns / 1 ps
module axilite_reg_if #
(
// Width of S_AXI data bus
parameter integer C_S_AXI_DATA_WIDTH = 32,
// Width of S_AXI address bus
parameter integer C_S_AXI_ADDR_WIDTH = 8
)
(
'''
st_in = ' input wire {name},\n'
st_out = ' output wire {name},\n'
sv_in = ' input wire [{width}:0] {name},\n'
sv_out = ' output wire [{width}:0] {name},\n'
clock_comment = ' // Clocks\n'
pl_port_comment = ' // PL Ports\n'
axi_ports_end = ''' // AXILite Signal
input wire s_axi_aclk,
input wire s_axi_areset,
input wire [C_S_AXI_ADDR_WIDTH-1 : 0] s_axi_awaddr,
input wire [2 : 0] s_axi_awprot,
input wire s_axi_awvalid,
output wire s_axi_awready,
input wire [C_S_AXI_DATA_WIDTH-1 : 0] s_axi_wdata,
input wire [(C_S_AXI_DATA_WIDTH/8)-1 : 0] s_axi_wstrb,
input wire s_axi_wvalid,
output wire s_axi_wready,
output wire [1 : 0] s_axi_bresp,
output wire s_axi_bvalid,
input wire s_axi_bready,
input wire [C_S_AXI_ADDR_WIDTH-1 : 0] s_axi_araddr,
input wire [2 : 0] s_axi_arprot,
input wire s_axi_arvalid,
output wire s_axi_arready,
output wire [C_S_AXI_DATA_WIDTH-1 : 0] s_axi_rdata,
output wire [1 : 0] s_axi_rresp,
output wire s_axi_rvalid,
input wire s_axi_rready
);
'''.format
components = ''
constants = '''
localparam integer ADDR_LSB = (C_S_AXI_DATA_WIDTH/32) + 1;
localparam integer OPT_MEM_ADDR_BITS = {};
'''
internal_signals = '''
// AXI4LITE signals
reg [C_S_AXI_ADDR_WIDTH-1 : 0] axi_awaddr;
reg axi_awready;
reg axi_wready;
reg [1 : 0] axi_bresp;
reg axi_bvalid;
reg [C_S_AXI_ADDR_WIDTH-1 : 0] axi_araddr;
reg axi_arready;
reg [C_S_AXI_DATA_WIDTH-1 : 0] axi_rdata;
reg [1 : 0] axi_rresp;
reg axi_rvalid;
wire slv_reg_rden;
wire slv_reg_wren;
reg [C_S_AXI_DATA_WIDTH-1:0] reg_data_out;
integer byte_index;
'''
signal_sv = ' wire [{width}:0] {name};\n'
signal_st = ' wire {name};\n'
reg_signal = ' reg [C_S_AXI_DATA_WIDTH-1:0] slv_reg{num};\n'
begin_io_assgns_axi_logic = '''
// I/O Connections assignments
assign s_axi_awready = axi_awready;
assign s_axi_wready = axi_wready;
assign s_axi_bresp = axi_bresp;
assign s_axi_bvalid = axi_bvalid;
assign s_axi_arready = axi_arready;
assign s_axi_rdata = axi_rdata;
assign s_axi_rresp = axi_rresp;
assign s_axi_rvalid = axi_rvalid;
// Implement axi_awready generation
// axi_awready is asserted for one s_axi_aclk clock cycle when both
// s_axi_awvalid and s_axi_wvalid are asserted. axi_awready is
// de-asserted when reset is low.
always @( posedge s_axi_aclk )
begin
if ( s_axi_areset == 1'b1 )
begin
axi_awready <= 1'b0;
end
else
begin
if (~axi_awready && s_axi_awvalid && s_axi_wvalid)
begin
// slave is ready to accept write address when
// there is a valid write address and write data
// on the write address and data bus. This design
// expects no outstanding transactions.
axi_awready <= 1'b1;
end
else
begin
axi_awready <= 1'b0;
end
end
end
// Implement axi_awaddr latching
// This process is used to latch the address when both
// s_axi_awvalid and s_axi_wvalid are valid.
always @( posedge s_axi_aclk )
begin
if ( s_axi_areset == 1'b1 )
begin
axi_awaddr <= 0;
end
else
begin
if (~axi_awready && s_axi_awvalid && s_axi_wvalid)
begin
// Write Address latching
axi_awaddr <= s_axi_awaddr;
end
end
end
// Implement axi_wready generation
// axi_wready is asserted for one s_axi_aclk clock cycle when both
// s_axi_awvalid and s_axi_wvalid are asserted. axi_wready is
// de-asserted when reset is low.
always @( posedge s_axi_aclk )
begin
if ( s_axi_areset == 1'b1 )
begin
axi_wready <= 1'b0;
end
else
begin
if (~axi_wready && s_axi_wvalid && s_axi_awvalid)
begin
// slave is ready to accept write data when
// there is a valid write address and write data
// on the write address and data bus. This design
// expects no outstanding transactions.
axi_wready <= 1'b1;
end
else
begin
axi_wready <= 1'b0;
end
end
end
// Implement memory mapped register select and write logic generation
// The write data is accepted and written to memory mapped registers when
// axi_awready, s_axi_wvalid, axi_wready and s_axi_wvalid are asserted. Write strobes are used to
// select byte enables of slave registers while writing.
// These registers are cleared when reset (active low) is applied.
// Slave register write enable is asserted when valid address and data are available
// and the slave is ready to accept the write address and write data.
assign slv_reg_wren = axi_wready && s_axi_wvalid && axi_awready && s_axi_awvalid;
'''
axi_write_header = '''
always @( posedge s_axi_aclk )
begin : axi_write_proc
reg [OPT_MEM_ADDR_BITS:0] loc_addr;
if ( s_axi_areset == 1'b1 )
begin'''
axi_write_reset_reg = '\n'+' '*4+'slv_reg{} <= 0;'
axi_write_else_header = '''
end
else begin
loc_addr = axi_awaddr[ADDR_LSB+OPT_MEM_ADDR_BITS:ADDR_LSB];
if (slv_reg_wren) begin'''
axi_write_assign = '''
if (loc_addr == {len}'b{val}) begin
for ( byte_index = 0; byte_index <= (C_S_AXI_DATA_WIDTH/8)-1; byte_index = byte_index+1 ) begin
if ( s_axi_wstrb[byte_index] == 1 ) begin
slv_reg{num}[(byte_index*8) +: 8] <= s_axi_wdata[(byte_index*8) +: 8];
end
end'''
axi_write_assign_else = '\n end else begin'
axi_write_assign_end = '\n end'
axi_write_else = '\n end else begin'
axi_sclr_part1 = '{'
axi_sclr_part2 = ', '
axi_sclr_part3 = '[{}:{}]'
axi_sclr_part4 = '{size}\'b{val}'
axi_sclr_part5 = '};'
axi_write_footer = '''
end
end
end
'''
axi_logic2 = '''
// Implement write response logic generation
// The write response and response valid signals are asserted by the slave
// when axi_wready, s_axi_wvalid, axi_wready and s_axi_wvalid are asserted.
// This marks the acceptance of address and indicates the status of
// write transaction.
always @( posedge s_axi_aclk )
begin
if ( s_axi_areset == 1'b1 )
begin
axi_bvalid <= 0;
axi_bresp <= 2'b0;
end
else
begin
if (axi_awready && s_axi_awvalid && ~axi_bvalid && axi_wready && s_axi_wvalid)
begin
// indicates a valid write response is available
axi_bvalid <= 1'b1;
axi_bresp <= 2'b0; // 'OKAY' response
end // work error responses in future
else
begin
if (s_axi_bready && axi_bvalid)
//check if bready is asserted while bvalid is high)
//(there is a possibility that bready is always asserted high)
begin
axi_bvalid <= 1'b0;
end
end
end
end
// Implement axi_arready generation
// axi_arready is asserted for one s_axi_aclk clock cycle when
// s_axi_arvalid is asserted. axi_awready is
// de-asserted when reset (active low) is asserted.
// The read address is also latched when s_axi_arvalid is
// asserted. axi_araddr is reset to zero on reset assertion.
always @( posedge s_axi_aclk )
begin
if ( s_axi_areset == 1'b1 )
begin
axi_arready <= 1'b0;
axi_araddr <= 32'b0;
end
else
begin
if (~axi_arready && s_axi_arvalid)
begin
// indicates that the slave has acceped the valid read address
axi_arready <= 1'b1;
// Read address latching
axi_araddr <= s_axi_araddr;
end
else
begin
axi_arready <= 1'b0;
end
end
end
// Implement axi_arvalid generation
// axi_rvalid is asserted for one s_axi_aclk clock cycle when both
// s_axi_arvalid and axi_arready are asserted. The slave registers
// data are available on the axi_rdata bus at this instance. The
// assertion of axi_rvalid marks the validity of read data on the
// bus and axi_rresp indicates the status of read transaction.axi_rvalid
// is deasserted on reset (active low). axi_rresp and axi_rdata are
// cleared to zero on reset (active low).
always @( posedge s_axi_aclk )
begin
if ( s_axi_areset == 1'b1 )
begin
axi_rvalid <= 0;
axi_rresp <= 0;
end
else
begin
if (axi_arready && s_axi_arvalid && ~axi_rvalid)
begin
// Valid read data is available at the read data bus
axi_rvalid <= 1'b1;
axi_rresp <= 2'b0; // 'OKAY' response
end
else if (axi_rvalid && s_axi_rready)
begin
// Read data is accepted by the master
axi_rvalid <= 1'b0;
end
end
end
// Implement memory mapped register select and read logic generation
// Slave register read enable is asserted when valid address is available
// and the slave is ready to accept the read address.
assign slv_reg_rden = axi_arready & s_axi_arvalid & ~axi_rvalid;
'''
reg_data_out_header = '''
always @(*)
begin
if ( s_axi_areset == 1'b1 )
begin
reg_data_out <= 0;
end
else
begin
// Address decoding for reading registers
case ( axi_araddr[ADDR_LSB+OPT_MEM_ADDR_BITS:ADDR_LSB] )'''
reg_data_out_when = '''
{size}'b{num_bin} : reg_data_out <= slv_reg{num};'''
reg_data_out_footer_axi_logic = '''
default : reg_data_out <= 0;
endcase
end
end
// Output register or memory read data
always @( posedge s_axi_aclk )
begin
if ( s_axi_areset == 1'b1 )
begin
axi_rdata <= 0;
end
else
begin
// When there is a valid read address (s_axi_arvalid) with
// acceptance of read address by the slave (axi_arready),
// output the read dada
if (slv_reg_rden)
begin
axi_rdata <= reg_data_out; // register read data
end
end
end
'''
ctrl_sig_assgns_header = '\n // Assign registers to control signals\n'
ctrl_sig_assgns = ' assign {:{}} = slv_reg{}[{}:{}];\n'
ctrl_sig_assgns_1bit = ' assign {:{}} = slv_reg{}[{}];\n'
sts_sig_assgns_header = '''
// Assign status signals to registers
always@(posedge s_axi_aclk)
begin : stat_to_reg_proc
reg [OPT_MEM_ADDR_BITS:0] loc_addr;
if (s_axi_areset == 1'b1) begin'''
sts_sig_assgns_reset = '\n slv_reg{} <= 0;'
sts_sig_assgns_reset_else = '''
end else begin
loc_addr = axi_awaddr[ADDR_LSB + OPT_MEM_ADDR_BITS:ADDR_LSB];'''
sts_sig_assgns_no_clr = '\n slv_reg{reg_no}[{msb}:{lsb}] <= {signal};'
sts_sig_assgns_no_clr_1bit = '\n slv_reg{reg_no}[{msb}] <= {signal};'
sts_sig_assgns_with_clr = '''
if ({signal_valid} == 1'b1) begin
slv_reg{reg_no}({msb} downto {lsb}) <= {signal};
end else if (slv_reg_wren == 1'b1 && loc_addr == {size}'b{addr_bin}
&& s_axi_wstrb[{strb_lsb}:{strb_msb}] == "{strb_1s}" then
slv_reg{reg_no}({msb} downto {lsb}) <= (others => \'0\');
else
slv_reg{reg_no}({msb} downto {lsb}) <= slv_reg{reg_no}({msb} downto {lsb});
end'''
sts_sig_assgns_with_clr_1bit = '''
if ({signal_valid} == 1'b1) begin
slv_reg{reg_no}[{msb}] <= {signal};
end else if (slv_reg_wren == 1'b1 && loc_addr == {size}'b{addr_bin}
&& s_axi_wstrb[{strb_lsb}:{strb_msb}] == {strb_size}'b{strb_1s}) begin
slv_reg{reg_no}[{msb}] <= 1\'b0;
end else begin
slv_reg{reg_no}[{msb}] <= slv_reg{reg_no}[{msb}];
end'''
sts_sig_assgns_footer = '''
end
end
'''
cdc_inst_pl_read = '''
cdc_sync # (
.WIDTH ({width}),
.WITH_VLD (0),
.DAT_IS_REG (1)
) {signal}_cdc (
.src_clk (s_axi_aclk),
.src_dat ({signal}_sync),
.src_vld (1'b1),
.dst_clk ({clock}),
.dst_dat ({signal}),
.dst_vld ()
);
'''
cdc_inst_pl_read_pulse = '''
cdc_sync # (
.WIDTH ({width}),
.WITH_VLD (0),
.SRC_PER_NS ({src_per}),
.DST_PER_NS ({dst_per}),
.IS_PULSE (1)
) {signal}_cdc (
.src_clk (s_axi_aclk),
.src_dat ({signal}_sync),
.src_vld (1'b1),
.dst_clk ({clock}),
.dst_dat ({signal}),
.dst_vld ()
);
'''
cdc_inst_pl_write = '''
cdc_sync # (
.WIDTH ({width}),
.WITH_VLD (0),
.DAT_IS_REG (0)
) {signal}_cdc (
.src_clk ({clock}),
.src_dat ({signal}),
.src_vld (1'b1),
.dst_clk (s_axi_aclk),
.dst_dat ({signal}_sync),
.dst_vld ()
);
'''
cdc_inst_pl_write_vld = '''
cdc_sync # (
.WIDTH ({width}),
.WITH_VLD (1),
.SRC_PER_NS ({src_per}),
.DST_PER_NS ({dst_per}),
.DAT_IS_REG (0)
) {signal}_cdc (
.src_clk ({clock}),
.src_dat ({signal}),
.src_vld ({signal}_vld),
.dst_clk (s_axi_aclk),
.dst_dat ({signal}_sync),
.dst_vld ({signal}_vld_sync)
);
'''
arc_footer = '\nendmodule'
|
__author__ = "Grzegorz Holak"
def czy_parzysta(liczba):
if not liczba % 2 == 0:
return False
return True
def zrob_parzysta(nieparzysta):
return nieparzysta + 1
def dzielenie(dzielna, dzielnik):
if not czy_parzysta(dzielnik):
dzielnik = zrob_parzysta(dzielnik)
if dzielnik == 0:
return dzielna
return dzielna / dzielnik
|
# Zapfun
# from
# https://siafoo.net/snippet/173
# via https://web.archive.org/web/20110203052513/https://siafoo.net/snippet/173
size(1280,900)
fill(0.2)
rect(0,0,WIDTH,HEIGHT)
fill(1)
stroke(0.2)
strokewidth(1)
font('Zapfino')
for i in range(400):
fontsize(random(30,400))
rotate(random(360))
chars = 'absdefghijklmnopqrstuvwxyz'
p = textpath(choice(chars),
random(-50, WIDTH + 100),
random(-50, HEIGHT + 100))
drawpath(p)
|
class Notifier:
pass
class AnotherNotifier:
pass
|
sexo = ''
while sexo != 'M' and sexo != 'F':
r = str(input('informe seu sexo [M/F]: ')).upper().strip()[0]
sexo = r
if r not in 'MF':
print('dados invalidos. por favor, ', end='')
print('Sexo {} registrado com sucesso!'.format(sexo))
# pode ser feito de outra forma
sexo = str(input('informe seu sexo [M/F]: ')).upper().strip()[0]
while sexo not in 'MFmf':
sexo = str(input('dados invalidos. por favor, informe seu sexo [M/F]: ')).upper().strip()[0]
print('Sexo {} registrado com sucesso!'.format(sexo))
|
#!/usr/bin/env python3
def spiral_corners(size):
yield 1
num = 1
sidelen = 3
while sidelen <= size:
for _ in range(4):
num += sidelen - 1
yield num
sidelen += 2
print(sum(spiral_corners(1001)))
|
# V0
# V1
# https://blog.csdn.net/weixin_38111819/article/details/79131409
# https://blog.csdn.net/XX_123_1_RJ/article/details/81021815
# IDEA : DFS
class Solution(object):
def permuteUnique(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
res = []
nums.sort()
self.dfs(nums, [], res)
return res
def dfs(self, nums, path, res):
if not nums:
res.append(path)
for i in range(len(nums)):
if i>0 and nums[i] == nums[i-1]:
continue
self.dfs(nums[:i]+nums[i+1:], path+[nums[i]], res)
# V2
# Time: O(n * n!)
# Space: O(n)
class Solution(object):
def permuteUnique(self, nums):
"""
:type nums: List[int]
:rtype: List[List[int]]
"""
nums.sort()
result = []
used = [False] * len(nums)
self.permuteUniqueRecu(result, used, [], nums)
return result
def permuteUniqueRecu(self, result, used, cur, nums):
if len(cur) == len(nums):
result.append(cur + [])
return
for i in range(len(nums)):
if used[i] or (i > 0 and nums[i-1] == nums[i] and not used[i-1]):
continue
used[i] = True
cur.append(nums[i])
self.permuteUniqueRecu(result, used, cur, nums)
cur.pop()
used[i] = False
class Solution2(object):
# @param num, a list of integer
# @return a list of lists of integers
def permuteUnique(self, nums):
solutions = [[]]
for num in nums:
next = []
for solution in solutions:
for i in range(len(solution) + 1):
candidate = solution[:i] + [num] + solution[i:]
if candidate not in next:
next.append(candidate)
solutions = next
return solutions |
class Solution1:
def min_camera_cover(self, root):
self._num_camera = 0
def dfs(node):
if not node:
return 2
left, right = dfs(node.left), dfs(node.right)
if left == 0 or right == 0:
self._num_camera += 1
return 1
return 2 if left == 1 or right == 1 else 0
return (dfs(root) == 0) + self._num_camera
class SolutionMINE:
def min_camera_cover(self, root):
self._num_camera = 0
dummy = TreeNode(0, left=root, right=None)
self.helper(dummy)
return self._num_camera
def helper(self, node):
left = self.helper(node.left) if node.left else 0
right = self.helper(node.right) if node.right else 0
if left == 2 or right == 2:
self._num_camera += 1
if left == right == 0:
return 2
return max(left, right) - 1
|
#
# PySNMP MIB module ZYXEL-STATIC-ROUTE-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ZYXEL-STATIC-ROUTE-MIB
# Produced by pysmi-0.3.4 at Wed May 1 15:51:43 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
ObjectIdentifier, Integer, OctetString = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "Integer", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
SingleValueConstraint, ConstraintsIntersection, ValueSizeConstraint, ValueRangeConstraint, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "SingleValueConstraint", "ConstraintsIntersection", "ValueSizeConstraint", "ValueRangeConstraint", "ConstraintsUnion")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
Unsigned32, MibScalar, MibTable, MibTableRow, MibTableColumn, Bits, Counter32, iso, NotificationType, Integer32, IpAddress, Counter64, MibIdentifier, ObjectIdentity, TimeTicks, ModuleIdentity, Gauge32 = mibBuilder.importSymbols("SNMPv2-SMI", "Unsigned32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Bits", "Counter32", "iso", "NotificationType", "Integer32", "IpAddress", "Counter64", "MibIdentifier", "ObjectIdentity", "TimeTicks", "ModuleIdentity", "Gauge32")
DisplayString, TextualConvention, RowStatus = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention", "RowStatus")
esMgmt, = mibBuilder.importSymbols("ZYXEL-ES-SMI", "esMgmt")
zyxelStaticRoute = ModuleIdentity((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77))
if mibBuilder.loadTexts: zyxelStaticRoute.setLastUpdated('201207010000Z')
if mibBuilder.loadTexts: zyxelStaticRoute.setOrganization('Enterprise Solution ZyXEL')
if mibBuilder.loadTexts: zyxelStaticRoute.setContactInfo('')
if mibBuilder.loadTexts: zyxelStaticRoute.setDescription('The subtree for static route')
zyxelStaticRouteSetup = MibIdentifier((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1))
zyStaticRouteMaxNumberOfRoutes = MibScalar((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: zyStaticRouteMaxNumberOfRoutes.setStatus('current')
if mibBuilder.loadTexts: zyStaticRouteMaxNumberOfRoutes.setDescription('The maximum number of static route entries that can be created.')
zyxelStaticRouteTable = MibTable((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2), )
if mibBuilder.loadTexts: zyxelStaticRouteTable.setStatus('current')
if mibBuilder.loadTexts: zyxelStaticRouteTable.setDescription('The table cantains static route configuration.')
zyxelStaticRouteEntry = MibTableRow((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1), ).setIndexNames((0, "ZYXEL-STATIC-ROUTE-MIB", "zyStaticRouteIpAddress"), (0, "ZYXEL-STATIC-ROUTE-MIB", "zyStaticRouteSubnetMask"), (0, "ZYXEL-STATIC-ROUTE-MIB", "zyStaticRouteGateway"))
if mibBuilder.loadTexts: zyxelStaticRouteEntry.setStatus('current')
if mibBuilder.loadTexts: zyxelStaticRouteEntry.setDescription('An entry contains static route configuration.')
zyStaticRouteName = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 1), DisplayString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: zyStaticRouteName.setStatus('current')
if mibBuilder.loadTexts: zyStaticRouteName.setDescription('A descriptive name (up to 10 printable ASCII characters) for identification purposes.')
zyStaticRouteIpAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 2), IpAddress())
if mibBuilder.loadTexts: zyStaticRouteIpAddress.setStatus('current')
if mibBuilder.loadTexts: zyStaticRouteIpAddress.setDescription('This parameter specifies the IP network address of the final destination. Routing is always based on network number. If you need to specify a route to a single host, use a subnet mask of 255.255.255.255 in the subnet mask field to force the network number to be identical to the host ID.')
zyStaticRouteSubnetMask = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 3), IpAddress())
if mibBuilder.loadTexts: zyStaticRouteSubnetMask.setStatus('current')
if mibBuilder.loadTexts: zyStaticRouteSubnetMask.setDescription('The subnet mask of an IP routing domain that is associated to a static route.')
zyStaticRouteGateway = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 4), IpAddress())
if mibBuilder.loadTexts: zyStaticRouteGateway.setStatus('current')
if mibBuilder.loadTexts: zyStaticRouteGateway.setDescription('The IP address of gateway. The gateway is an immediate neighbor of your Switch that will forward the packet to the destination. The gateway must be a router on the same segment as your Switch. ')
zyStaticRouteMetric = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 5), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: zyStaticRouteMetric.setStatus('current')
if mibBuilder.loadTexts: zyStaticRouteMetric.setDescription('The metric represents the cost of transmission for routing purposes. IP routing uses hop count as the measurement of cost, with a minimum of 1 for directly connected networks. Enter a number that approximates the cost for this link. The number need not be precise, but it must be between 1 and 15. In practice, 2 or 3 is usually a good number.')
zyStaticRouteRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 890, 1, 15, 3, 77, 1, 2, 1, 6), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: zyStaticRouteRowStatus.setStatus('current')
if mibBuilder.loadTexts: zyStaticRouteRowStatus.setDescription('This object allows entries to be created and deleted from the static route table.')
mibBuilder.exportSymbols("ZYXEL-STATIC-ROUTE-MIB", zyStaticRouteRowStatus=zyStaticRouteRowStatus, zyStaticRouteIpAddress=zyStaticRouteIpAddress, zyStaticRouteSubnetMask=zyStaticRouteSubnetMask, zyStaticRouteMetric=zyStaticRouteMetric, zyxelStaticRouteTable=zyxelStaticRouteTable, zyxelStaticRouteSetup=zyxelStaticRouteSetup, zyStaticRouteGateway=zyStaticRouteGateway, zyxelStaticRouteEntry=zyxelStaticRouteEntry, zyxelStaticRoute=zyxelStaticRoute, PYSNMP_MODULE_ID=zyxelStaticRoute, zyStaticRouteMaxNumberOfRoutes=zyStaticRouteMaxNumberOfRoutes, zyStaticRouteName=zyStaticRouteName)
|
"""
Preparing higher-resolution data generators for the Jena dataset
"""
# Previously set to 6 (1 point per hour);
# now 3 (1 point per 30 min)
step = 3
lookback = 720
delay = 144
train_gen = generator(
float_data,
lookback=lookback,
delay=delay,
min_index=0,
max_index=200000,
shuffle=True,
step=step
)
val_gen = generator(
float_data,
lookback=lookback,
delay=delay,
min_index=200001,
max_index=300000,
step=step
)
test_gen = generator(
float_data,
lookback=lookback,
delay=delay,
min_index=300001,
max_index=None,
step=step
)
val_steps = (300000 - 200001 - lookback) // 128
test_steps = (len(float_data) - 300001 - lookback) // 128
|
class Game:
def __init__(self, pygame, screen):
self.running = True
self.__loadeds__ = []
self.__pygame__ = pygame
self.__screen__ = screen
def __loaded__(self, module):
return (module in self.__loadeds__)
def __use__(self, module):
if not self.__loaded__(module):
module(self)
self.__loadeds__.append(module)
print("[INIT]: 1 módulo foi carregado!")
def __require__(self, module):
if not self.__loaded__(module):
print("[ERRO]: O módulo não está carregado!")
def quit(self):
print("[INFO]: Saindo...")
self.running = False |
"""
Given a directed graph, check if it contains a cycle.
What's the real time application of this?
Imagine there is a deadlock detection in a system.
Processes can be determined by vertices a&
edge can be - Process is waiting for process B to release the mutex
There are 2 approaches to this:
1. Using color theory
2. Using powers of two
"""
# These example inputs can be generated using defaultdict
graph_with_cycle = {
"A": ["B", "C"],
"B": ["D"],
"C": ["F"],
"D": ["E", "F"],
"E": ["B"],
"F": [],
}
graph_without_cycle = {
"A": ["B", "C"],
"B": ["D", "E"],
"C": ["F"],
"D": ["E"],
"E": [],
"F": [],
}
color_map = {"WHITE": 0, "GRAY": 1, "BLACK": 2}
def is_in_cycle(graph, states, vertex):
if states[vertex] == color_map["GRAY"]:
return True
states[vertex] = color_map["GRAY"]
for nei in graph[vertex]:
if is_in_cycle(graph, states, nei):
return True
states[vertex] = color_map["BLACK"]
return False
def contains_cycle(graph):
states = {vertex: color_map["WHITE"] for vertex in graph}
for vertex, state in states.items():
if state == color_map["WHITE"] and is_in_cycle(graph, states, vertex):
return True
return False
# -----------------------------------------------------------------------------------------
if __name__ == "__main__":
print(contains_cycle(graph_with_cycle))
print(contains_cycle(graph_without_cycle))
|
"""
Given a collection of candidate numbers (candidates) and a target number (target),
find all unique combinations in candidates where the candidate numbers sum to target.
Each number in candidates may only be used once in the combination.
Note: The solution set must not contain duplicate combinations.
Example 1:
Input: candidates = [10,1,2,7,6,1,5], target = 8
Output:
[
[1,1,6],
[1,2,5],
[1,7],
[2,6]
]
Example 2:
Input: candidates = [2,5,2,1,2], target = 5
Output:
[
[1,2,2],
[5]
]
Constraints:
1. 1 <= candidates.length <= 100
2. 1 <= candidates[i] <= 50
3. 1 <= target <= 30
"""
class Solution:
def combinationSum2(self, candidates: List[int], target: int) -> List[List[int]]:
"""
Recursion
Runtime: 40ms
"""
candidates.sort()
def helper(nums, t: int):
res = []
used = set()
for i, x in enumerate(nums):
if x not in used:
if x > t:
return res
elif x == t:
res.append([x])
return res
used.add(x)
if i < len(nums) - 1:
next_comb = helper(nums[i+1:], t - x)
for l in next_comb:
res.append([x] + l)
return res
return helper(candidates, target)
|
"""
Copyright (c) 2016 Alexander Menkin
Use of this source code is governed by an MIT-style license that can be found in the LICENSE file at
https://github.com/miloiloloo/diploma_2017_data_generation/blob/master/LICENSE
"""
def unite(parameters):
""" unite n action's execution in one
:param parameters: [(a1, p1) ... (an, pn)] where
ai: action #i
pi: parameters for action #i
"""
for pair in parameters:
a, p = pair
a(p)
return
def empty(parameters):
""" empty action: it does nothing
:param parameters: will be ignored
"""
return
|
one = input()
two = input()
one = one.split()
two = two.split()
print("VALOR A PAGAR: R$ {:.2f}".format((float(one[1]) * float(one[2])) + (float(two[1]) * float(two[2]))))
|
##Elias Howell | 10/02/2019 | Lab Assignment #4
##
##Program takes status of buttons and outputs prank configured status of hallway lights
##Algorithm:
## 0)Requests individual button on/off status
## 1)Validates input to ensure input is on or off
## 2)Decides whether or not a hallway light should be on or off according to prank settings
## 3)Prints hallway light output to screen
#Initialization of button status
B1 = input("Enter the state of B1 (on|off): ")
B1 = B1.upper()
B2 = input("Enter the state of B2 (on|off): ")
B2 = B2.upper()
B3 = input("Enter the state of B3 (on|off): ")
B3 = B3.upper()
B4 = input("Enter the state of B4 (on|off): ")
B4 = B4.upper()
#Input validation for button status
while not ((B1 == "ON" or B1 == "OFF") and (B2 == "ON" or B2 == "OFF") and (B3 == "ON" or B3 == "OFF") and (B4 == "ON" or B4 == "OFF")):
print("\nOne of your inputs were invalid. Input must be 'on' or 'off' it isn't case sensetive.\n")
B1 = input("Enter the state of B1 (on|off): ")
B1 = B1.upper()
B2 = input("Enter the state of B2 (on|off): ")
B2 = B2.upper()
B3 = input("Enter the state of B3 (on|off): ")
B3 = B3.upper()
B4 = input("Enter the state of B4 (on|off): ")
B4 = B4.upper()
#Decides whether or not a hallway light is ultimately on or off
if (B1 == "ON" and B4 == "OFF") or (B1 == "OFF" and B4 == "ON"):
nwStatus = "ON"
else:
nwStatus = "OFF"
if (B2 == "ON" and B3 == "OFF") or (B2 == "OFF" and B3 == "ON"):
neStatus = "ON"
else:
neStatus = "OFF"
if (B1 == "ON" and B3 == "OFF") or (B1 == "OFF" and B3 == "ON"):
seStatus = "ON"
else:
seStatus = "OFF"
if (B2 == "ON" and B4 == "OFF") or (B2 == "OFF" and B4 == "ON"):
swStatus = "ON"
else:
swStatus = "OFF"
#Print light status
print("\n\nLight status for NW Hallway:", nwStatus)
print("Light status for NE Hallway:", neStatus)
print("Light status for SE Hallway:", seStatus)
print("Light status for SW Hallway:", swStatus)
|
#-*- coding:utf-8 -*-
class Filter(object):
def __init__(self, all_seeds, ac, re):
self._all = all_seeds
self._accept = ac
self._reject = re |
def test_test():
assert 123 == "123"
def test_test_2():
assert [] == "[]"
|
class FileForm(forms.ModelForm):
class Meta:
model= File
fields= ["name", "filepath"]
|
class Solution:
def longestStrChain(self, words: List[str]) -> int:
words.sort(key=lambda x: len(x))
dp = {}
ans = 0
for word in words:
dp[word] = 1
for word in words:
for i in range(len(word)):
split = word[:i] + word[i + 1:]
if split in dp:
dp[word] = max(dp[word], dp[split] + 1)
ans = max(ans, dp[word])
return ans
|
#!/usr/bin/env python3
#-*-coding:utf-8-*-
"""Note:
In Python 3, there is only one integer type int,
which is represented as a long integer, and there is no Long in python2.
"""
class BasicDataType():
str_a = "100"
str_b = "300"
# Note that this is in line with the rules of type string,
# if the string is a text form or the like can not be int() a function of the cast.
print(str_a + str_b)
print(int(str_a) + int(str_b))
"""
There is a string of decimal form can not be int() a function of conversion.
It does not mean that floating-point numbers cannot be converted to integers,
but the strings in decimal form cannot be forcibly converted to strings.
print(int("66.66"))
class BasicDataType():
File "python-practice/Basis/basis/transform.py", line 27, in BasicDataType
print(int("66.66"))
ValueError: invalid literal for int() with base 10: '66.66'
"""
#Float or can int() function conversion.
print(int(66.66)) |
class A(object):
def __init__(self, x):
self.x = x
def __neg__(self):
return A(-self.x)
def __pos__(self):
return A(abs(self.x))
def __invert__(self):
return A(~self.x)
def __add__(self, other):
return A(self.x + other.x)
a1 = A(1)
a2 = A(2)
a3 = A(3)
a5 = a1 + a2 + (-a3) + (+A(-4)) + (~a1) # breakpoint
|
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
def isSameTree(self, p: TreeNode, q: TreeNode) -> bool:
stack1 = [p]
stack2 = [q]
while stack1 and stack2:
node1 = stack1.pop()
node2 = stack2.pop()
if not node1 and not node2: continue
if not node1 or not node2: return False
if node1.val != node2.val: return False
stack1.append(node1.left)
stack1.append(node1.right)
stack2.append(node2.left)
stack2.append(node2.right)
return len(stack1) == len(stack2)
|
if __name__ == "__main__":
print("Preprocessing data")
|
"""
Project
=======
"""
def f(x: bool = True) -> bool:
"""
Given a boolean, return the opposite.
:param bool x: our boolean parameter.
:return: the opposite of the param.
:rtype: bool
:raises TypeError: if x isn't bool.
"""
if not type(x) == bool:
raise TypeError("No!")
return not x
|
power = {'BUSES': {'Area': 1.33155,
'Bus/Area': 1.33155,
'Bus/Gate Leakage': 0.00662954,
'Bus/Peak Dynamic': 0.0,
'Bus/Runtime Dynamic': 0.0,
'Bus/Subthreshold Leakage': 0.0691322,
'Bus/Subthreshold Leakage with power gating': 0.0259246,
'Gate Leakage': 0.00662954,
'Peak Dynamic': 0.0,
'Runtime Dynamic': 0.0,
'Subthreshold Leakage': 0.0691322,
'Subthreshold Leakage with power gating': 0.0259246},
'Core': [{'Area': 32.6082,
'Execution Unit/Area': 8.2042,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 0.252741,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.401203,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 1.06821,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.122718,
'Execution Unit/Instruction Scheduler/Area': 2.17927,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.726949,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 1.25881,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.721964,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 2.70773,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.554789,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 8.08567,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.201807,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0263525,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.297246,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.194893,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.499054,
'Execution Unit/Register Files/Runtime Dynamic': 0.221245,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.78751,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 1.76002,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155,
'Execution Unit/Runtime Dynamic': 5.49557,
'Execution Unit/Subthreshold Leakage': 1.83518,
'Execution Unit/Subthreshold Leakage with power gating': 0.709678,
'Gate Leakage': 0.372997,
'Instruction Fetch Unit/Area': 5.86007,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00212992,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00212992,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00186263,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000725147,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00279965,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00892212,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0201542,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0590479,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.187355,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.43323,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.460187,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.636343,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.96874,
'Instruction Fetch Unit/Runtime Dynamic': 1.31296,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932587,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0239757,
'L2/Runtime Dynamic': 0.00602306,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80969,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 6.71927,
'Load Store Unit/Data Cache/Runtime Dynamic': 2.64227,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0351387,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.177361,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.177361,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 7.56022,
'Load Store Unit/Runtime Dynamic': 3.69432,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.437341,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.874683,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591622,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283406,
'Memory Management Unit/Area': 0.434579,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.155214,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.155485,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00813591,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.399995,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0757047,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.826828,
'Memory Management Unit/Runtime Dynamic': 0.231189,
'Memory Management Unit/Subthreshold Leakage': 0.0769113,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462,
'Peak Dynamic': 30.0271,
'Renaming Unit/Area': 0.369768,
'Renaming Unit/FP Front End RAT/Area': 0.168486,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.704059,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925,
'Renaming Unit/Free List/Area': 0.0414755,
'Renaming Unit/Free List/Gate Leakage': 4.15911e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0401324,
'Renaming Unit/Free List/Runtime Dynamic': 0.0456443,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987,
'Renaming Unit/Gate Leakage': 0.00863632,
'Renaming Unit/Int Front End RAT/Area': 0.114751,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.370308,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781,
'Renaming Unit/Peak Dynamic': 4.56169,
'Renaming Unit/Runtime Dynamic': 1.12001,
'Renaming Unit/Subthreshold Leakage': 0.070483,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779,
'Runtime Dynamic': 11.8601,
'Subthreshold Leakage': 6.21877,
'Subthreshold Leakage with power gating': 2.58311},
{'Area': 32.0201,
'Execution Unit/Area': 7.68434,
'Execution Unit/Complex ALUs/Area': 0.235435,
'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646,
'Execution Unit/Complex ALUs/Peak Dynamic': 9.4469e-07,
'Execution Unit/Complex ALUs/Runtime Dynamic': 0.20269,
'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111,
'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163,
'Execution Unit/Floating Point Units/Area': 4.6585,
'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156,
'Execution Unit/Floating Point Units/Peak Dynamic': 7.59011e-06,
'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033,
'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829,
'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061,
'Execution Unit/Gate Leakage': 0.120359,
'Execution Unit/Instruction Scheduler/Area': 1.66526,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.194469,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453,
'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519,
'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913,
'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223,
'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562,
'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763,
'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.313671,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755,
'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964,
'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262,
'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388,
'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608,
'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451,
'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.158331,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853,
'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446,
'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.66647,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892,
'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346,
'Execution Unit/Integer ALUs/Area': 0.47087,
'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291,
'Execution Unit/Integer ALUs/Peak Dynamic': 0.222415,
'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344,
'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222,
'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833,
'Execution Unit/Peak Dynamic': 4.25813,
'Execution Unit/Register Files/Area': 0.570804,
'Execution Unit/Register Files/Floating Point RF/Area': 0.208131,
'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788,
'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 1.43393e-06,
'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00815689,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698,
'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.058985,
'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0603252,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175,
'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675,
'Execution Unit/Register Files/Peak Dynamic': 0.0589865,
'Execution Unit/Register Files/Runtime Dynamic': 0.0684821,
'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387,
'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643,
'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912,
'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402,
'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.124265,
'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.326404,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478,
'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543,
'Execution Unit/Runtime Dynamic': 1.66942,
'Execution Unit/Subthreshold Leakage': 1.79543,
'Execution Unit/Subthreshold Leakage with power gating': 0.688821,
'Gate Leakage': 0.368936,
'Instruction Fetch Unit/Area': 5.85939,
'Instruction Fetch Unit/Branch Predictor/Area': 0.138516,
'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.00249135,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.00249135,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719,
'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.00223246,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344,
'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000898408,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000866577,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00808174,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0216537,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0579922,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 3.6888,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.229628,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.196968,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 6.08634,
'Instruction Fetch Unit/Runtime Dynamic': 0.514323,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0297368,
'L2/Runtime Dynamic': 0.00581389,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 3.07721,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.886587,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0595312,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0595312,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 3.35833,
'Load Store Unit/Runtime Dynamic': 1.23971,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.146794,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.293588,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
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'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0523539,
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'Memory Management Unit/Gate Leakage': 0.00808595,
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'Execution Unit/Area': 7.68434,
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'Execution Unit/Gate Leakage': 0.120359,
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'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
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'Execution Unit/Register Files/Integer RF/Area': 0.362673,
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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
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'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.00111538,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00706122,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.0183763,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0746422,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 4.74789,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.248026,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.253519,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 7.19682,
'Instruction Fetch Unit/Runtime Dynamic': 0.601624,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0564862,
'L2/Runtime Dynamic': 0.0157907,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 3.74708,
'Load Store Unit/Data Cache/Runtime Dynamic': 1.22701,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0812033,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0812033,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 4.13054,
'Load Store Unit/Runtime Dynamic': 1.70868,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.200234,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.400467,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
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'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
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'Memory Management Unit/Runtime Dynamic': 0.112577,
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'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 19.9299,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
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'Renaming Unit/Free List/Area': 0.0340654,
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'Runtime Dynamic': 4.61483,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328},
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'Execution Unit/Floating Point Units/Area': 4.6585,
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'Execution Unit/Peak Dynamic': 6.49299,
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'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968,
'Execution Unit/Register Files/Gate Leakage': 0.000622708,
'Execution Unit/Register Files/Integer RF/Area': 0.362673,
'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992,
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'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917,
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'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 0.000266991,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347,
'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045,
'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838,
'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732,
'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05,
'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602,
'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.0015061,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505,
'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733,
'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00378886,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703,
'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282,
'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954,
'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758,
'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867,
'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00767621,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682,
'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357,
'Instruction Fetch Unit/Gate Leakage': 0.0589979,
'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323,
'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05,
'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827,
'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.10079,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885,
'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682,
'Instruction Fetch Unit/Instruction Cache/Area': 3.14635,
'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931,
'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 6.41109,
'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.248962,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022,
'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386,
'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799,
'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493,
'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404,
'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.342327,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943,
'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104,
'Instruction Fetch Unit/Peak Dynamic': 8.94075,
'Instruction Fetch Unit/Runtime Dynamic': 0.703544,
'Instruction Fetch Unit/Subthreshold Leakage': 0.932286,
'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843,
'L2/Area': 4.53318,
'L2/Gate Leakage': 0.015464,
'L2/Peak Dynamic': 0.0657792,
'L2/Runtime Dynamic': 0.00413921,
'L2/Subthreshold Leakage': 0.834142,
'L2/Subthreshold Leakage with power gating': 0.401066,
'Load Store Unit/Area': 8.80901,
'Load Store Unit/Data Cache/Area': 6.84535,
'Load Store Unit/Data Cache/Gate Leakage': 0.0279261,
'Load Store Unit/Data Cache/Peak Dynamic': 2.98015,
'Load Store Unit/Data Cache/Runtime Dynamic': 0.839273,
'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675,
'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085,
'Load Store Unit/Gate Leakage': 0.0350888,
'Load Store Unit/LoadQ/Area': 0.0836782,
'Load Store Unit/LoadQ/Gate Leakage': 0.00059896,
'Load Store Unit/LoadQ/Peak Dynamic': 0.0563913,
'Load Store Unit/LoadQ/Runtime Dynamic': 0.0563912,
'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961,
'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918,
'Load Store Unit/Peak Dynamic': 3.24645,
'Load Store Unit/Runtime Dynamic': 1.17377,
'Load Store Unit/StoreQ/Area': 0.322079,
'Load Store Unit/StoreQ/Gate Leakage': 0.00329971,
'Load Store Unit/StoreQ/Peak Dynamic': 0.139051,
'Load Store Unit/StoreQ/Runtime Dynamic': 0.278102,
'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621,
'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004,
'Load Store Unit/Subthreshold Leakage': 0.591321,
'Load Store Unit/Subthreshold Leakage with power gating': 0.283293,
'Memory Management Unit/Area': 0.4339,
'Memory Management Unit/Dtlb/Area': 0.0879726,
'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729,
'Memory Management Unit/Dtlb/Peak Dynamic': 0.0493498,
'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0503302,
'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699,
'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485,
'Memory Management Unit/Gate Leakage': 0.00808595,
'Memory Management Unit/Itlb/Area': 0.301552,
'Memory Management Unit/Itlb/Gate Leakage': 0.00393464,
'Memory Management Unit/Itlb/Peak Dynamic': 0.398618,
'Memory Management Unit/Itlb/Runtime Dynamic': 0.0408354,
'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758,
'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842,
'Memory Management Unit/Peak Dynamic': 0.639501,
'Memory Management Unit/Runtime Dynamic': 0.0911656,
'Memory Management Unit/Subthreshold Leakage': 0.0766103,
'Memory Management Unit/Subthreshold Leakage with power gating': 0.0398333,
'Peak Dynamic': 22.9749,
'Renaming Unit/Area': 0.303608,
'Renaming Unit/FP Front End RAT/Area': 0.131045,
'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00351123,
'Renaming Unit/FP Front End RAT/Peak Dynamic': 2.51468,
'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.650344,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0308571,
'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.0175885,
'Renaming Unit/Free List/Area': 0.0340654,
'Renaming Unit/Free List/Gate Leakage': 2.5481e-05,
'Renaming Unit/Free List/Peak Dynamic': 0.0306032,
'Renaming Unit/Free List/Runtime Dynamic': 0.0231635,
'Renaming Unit/Free List/Subthreshold Leakage': 0.000370144,
'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000201064,
'Renaming Unit/Gate Leakage': 0.00708398,
'Renaming Unit/Int Front End RAT/Area': 0.0941223,
'Renaming Unit/Int Front End RAT/Gate Leakage': 0.000283242,
'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.731965,
'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.156297,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00435488,
'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00248228,
'Renaming Unit/Peak Dynamic': 3.58947,
'Renaming Unit/Runtime Dynamic': 0.829804,
'Renaming Unit/Subthreshold Leakage': 0.0552466,
'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461,
'Runtime Dynamic': 5.7922,
'Subthreshold Leakage': 6.16288,
'Subthreshold Leakage with power gating': 2.55328}],
'DRAM': {'Area': 0,
'Gate Leakage': 0,
'Peak Dynamic': 0.5840218280895675,
'Runtime Dynamic': 0.5840218280895675,
'Subthreshold Leakage': 4.252,
'Subthreshold Leakage with power gating': 4.252},
'L3': [{'Area': 61.9075,
'Gate Leakage': 0.0484137,
'Peak Dynamic': 0.202737,
'Runtime Dynamic': 0.119102,
'Subthreshold Leakage': 6.80085,
'Subthreshold Leakage with power gating': 3.32364}],
'Processor': {'Area': 191.908,
'Gate Leakage': 1.53485,
'Peak Dynamic': 90.9316,
'Peak Power': 124.044,
'Runtime Dynamic': 26.0141,
'Subthreshold Leakage': 31.5774,
'Subthreshold Leakage with power gating': 13.9484,
'Total Cores/Area': 128.669,
'Total Cores/Gate Leakage': 1.4798,
'Total Cores/Peak Dynamic': 90.7289,
'Total Cores/Runtime Dynamic': 25.895,
'Total Cores/Subthreshold Leakage': 24.7074,
'Total Cores/Subthreshold Leakage with power gating': 10.2429,
'Total L3s/Area': 61.9075,
'Total L3s/Gate Leakage': 0.0484137,
'Total L3s/Peak Dynamic': 0.202737,
'Total L3s/Runtime Dynamic': 0.119102,
'Total L3s/Subthreshold Leakage': 6.80085,
'Total L3s/Subthreshold Leakage with power gating': 3.32364,
'Total Leakage': 33.1122,
'Total NoCs/Area': 1.33155,
'Total NoCs/Gate Leakage': 0.00662954,
'Total NoCs/Peak Dynamic': 0.0,
'Total NoCs/Runtime Dynamic': 0.0,
'Total NoCs/Subthreshold Leakage': 0.0691322,
'Total NoCs/Subthreshold Leakage with power gating': 0.0259246}} |
a = input('Digite algo: ')
print('Qual o tipo? |', type(a))
print('É numeral? |', a.isalnum())
print('É alfabético? |', a.isalpha())
print('É dígito? |', a.isdigit())
print('É minúsculo? |', a.islower())
print('É imprimível? |', a.isprintable())
|
#There are 2N people a company is planning to interview.
#The cost of flying the i-th person to city A is costs[i][0], and
#the cost of flying the i-th person to city B is costs[i][1].
#Return the minimum cost to fly every person to a city such that exactly N people arrive in each city.
class Solution:
def twoCitySchedCost(self, costs: List[List[int]]) -> int:
res = 0
costs = sorted(costs, key=lambda x: abs(x[0]-x[1]), reverse=True)# this is key - to observe that we need to sort by diff in costs.
N = len(costs)//2
countA = N
countB = N
for citya, cityb in costs:
if countA > 0 and countB > 0:
if citya < cityb:
countA-=1
res+= citya
else:
countB-=1
res+=cityb
elif countA == 0:
res+=cityb
else:
res+=citya
return res
|
class Calculator:
def __init__(self, a: int, b: int) -> None:
self.a = a
self.b = b
def suma(self) -> int:
return self.a + self.b
def resta(self) -> int:
return self.a - self.b
def multi(self) -> int:
return self.a * self.b
def divicion(self):
if self.b != 0:
return self.a / self.b
else:
return "indeterminado"
def potencia(self):
return self.a ** self.b
def raiz(self):
if self.a < 0:
cube_root = "indeterminado"
else:
if self.b > 0:
cube_root = pow(self.a,1/self.b)
else:
cube_root = "indeterminado"
return cube_root
|
"""
Time: O(NLogN), N is the number of points.
Space: O(N)
1. Get the angle of each point relative to the "location"
2. Sort the angles
3. Do a sliding window to angles to see what the maximum number of angles within the interval "angle"
[1] For example, angles = [10, 20, 360], angle = 20 we will count 2, but actually it will be 3.
"""
class Solution(object):
def visiblePoints(self, points, angle, location):
def getAngle(x, y):
#4 axis
if x>0 and y==0:
return 0
elif x==0 and y>0:
return 90
elif x<0 and y==0:
return 180
elif x==0 and y<0:
return 270
#4 quadrant
if x>0 and y>0:
return math.degrees(math.atan2(abs(y), abs(x)))
elif x<0 and y>0:
return 180-math.degrees(math.atan2(abs(y), abs(x)))
elif x<0 and y<0:
return 180+math.degrees(math.atan2(abs(y), abs(x)))
else:
return 360-math.degrees(math.atan2(abs(y), abs(x)))
ans = 0
onLocation = 0
angles = []
for x, y in points:
if x==location[0] and y==location[1]:
onLocation += 1
else:
a = getAngle(x-location[0], y-location[1])
angles.append(a)
if a<=angle: angles.append(360+a) #[1]
angles.sort()
i = 0
for j in xrange(len(angles)):
while angles[j]-angles[i]>angle:
i += 1
ans = max(ans, j-i+1)
return ans+onLocation |
#!/usr/bin/python
#
# Copyright (C) 2011-2016 Michel Dalle
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
Client API library for the Fujitsu Global Cloud Platform (FGCP)
using XML-RPC API Version 2015-01-30
Requirements: this module uses tlslite.utils or gdata.tlslite.utils to create
the key signature, see https://pypi.python.org/pypi/tlslite-ng or
https://pypi.python.org/pypi/tlslite for download and installation
Caution: this is a development work in progress - please do not use
for productive systems without adequate testing...
"""
__version__ = '1.5.0'
class FGCPError(Exception):
"""
Exception class for FGCP Errors
"""
def __init__(self, status, message):
self.status = status
self.message = message
def __str__(self):
return '\nStatus: %s\nMessage: %s' % (self.status, self.message)
|
class BusinessCountry(object):
"""
Business Country Object used to store business coordinates and count.
Properties: count, list of coordinates.
"""
def __init__(self, count=0, coords=None):
self.count = count
if coords == None:
self.coords = []
else:
self.coords = coords
def addCoord(self, coord):
self.coords.append(coord)
self.increaseCount()
def increaseCount(self):
self.count += 1
def getCount(self):
return self.count
def getCoords(self):
return self.coords |
#!/usr/bin/env python3
# Implements a graph capable of storing edges of type N1 *-$ N2 where * and
# $ are endpoints of type Endpoint.
class Graph:
# Adds a bidirected edges <-> to the graph.
def add_bidirected_edge(self, node1, node2):
raise NotImplementedError
# Adds a directed edge --> to the graph.
def add_directed_edge(self, node1, node2):
raise NotImplementedError
# Adds an undirected edge --- to the graph.
def add_undirected_edge(self, node1, node2):
raise NotImplementedError
# Adds an nondirected edges o-o to the graph.
def add_nondirected_edge(self, node1, node2):
raise NotImplementedError
# Adds a partially oriented edge o-> to the graph.
def add_partially_oriented_edge(self, node1, node2):
raise NotImplementedError
# Adds the specified edge to the graph, provided it is not already in the
# graph.
def add_edge(self, edge):
raise NotImplementedError
# Adds a node to the graph. Precondition: The proposed name of the node
# cannot already be used by any other node in the same graph.
def add_node(self, node):
raise NotImplementedError
# Removes all nodes (and therefore all edges) from the graph.
def clear(self):
raise NotImplementedError
# Determines whether this graph contains the given edge.
#
# Returns true iff the graph contain 'edge'.
def contains_edge(self, edge):
raise NotImplementedError
# Determines whether this graph contains the given node.
#
# Returns true iff the graph contains 'node'.
def contains_node(self, node):
raise NotImplementedError
# Returns true iff there is a directed cycle in the graph.
def exists_directed_cycle(self):
raise NotImplementedError
# Returns true iff there is a directed path from node1 to node2 in the graph.
def exists_directed_path_from_to(self, node1, node2):
raise NotImplementedError
# Returns true iff there is a path from node1 to node2 in the graph.
def exists_undirected_path_from_to(self, node1, node2):
raise NotImplementedError
# A semi-directed path from A to B is an undirected path in which no
# edge has an arrowhead pointing "back" towards A.
#
# Return true iff there is a semi-directed path from node1 to a node in nodes in the graph.
def exists_semidirected_path_from_to(self, node1, nodes):
raise NotImplementedError
# Determines whether an inducing path exists between node1 and node2, given
# a set O of observed nodes and a set sem of conditioned nodes.
def exists_inducing_path(self, node1, node2):
raise NotImplementedError
# Returns true iff a trek exists between two nodes in the graph. A trek
# exists if there is a directed path between the two nodes or else, for
# some third node in the graph, there is a path to each of the two nodes in
# question.
def exists_trek(self, node1, node2):
raise NotImplementedError
# Determines whether this graph is equal to some other graph, in the sense
# that they contain the same nodes and the sets of edges defined over these
# nodes in the two graphs are isomorphic typewise. That is, if node A and B
# exist in both graphs, and if there are, e.g., three edges between A and B
# in the first graph, two of which are directed edges and one of which is
# an undirected edge, then in the second graph there must also be two
# directed edges and one undirected edge between nodes A and B.
def __eq__(self, other):
raise NotImplementedError
# Removes all edges from the graph and fully connects it using $-$ edges, where $ is the given endpoint.
def fully_connect(self, endpoint):
raise NotImplementedError
# Reorients all edges in the graph with the given endpoint.
def reorient_all_with(self, endpoint):
raise NotImplementedError
# Returns a mutable list of nodes adjacent to the given node.
def get_adjacent_nodes(self, node):
raise NotImplementedError
# Returns a mutable list of ancestors for the given nodes.
def get_ancestors(self, nodes):
raise NotImplementedError
# Returns a mutable list of children for a node.
def get_children(self, node):
raise NotImplementedError
# Returns the connectivity of the graph.
def get_connectivity(self):
raise NotImplementedError
# Returns a mutable list of descendants for the given nodes.
def get_descendants(self, nodes):
raise NotImplementedError
# Returns the edge connecting node1 and node2, provided a unique such edge exists.
def get_edge(self, node1, node2):
raise NotImplementedError
# Returns the directed edge from node1 to node2, if there is one.
def get_directed_edge(self, node1, node2):
raise NotImplementedError
# Returns the list of edges connected to a particular node. No particular ordering of the edges in the list is guaranteed.
def get_node_edges(self, node):
raise NotImplementedError
# Returns the edges connecting node1 and node2.
def get_connecting_edges(self, node1, node2):
raise NotImplementedError
# Returns the list of edges in the graph. No particular ordering is guaranteed.
def get_graph_edges(self):
raise NotImplementedError
# Returns the endpoint along the edge from node1 to node2, at the node2 end.
def get_endpoint(self, node1, node2):
raise NotImplementedError
# Returns the number of arrow endpoints adjacent to the node.
def get_indegree(self, node):
raise NotImplementedError
# Returns the number of null endpoints adjacent to the node.
def get_outdegree(self, node):
raise NotImplementedError
# Returns the total number of edges into and out of the node.
def get_degree(self, node):
raise NotImplementedError
# Returns the node with the given string name. In case of accidental
# duplicates, the first node encountered with the given name is returned.
# In case no node exists with the given name, null is returned.
def get_node(self, name):
raise NotImplementedError
# Returns the list of nodes for the graph.
def get_nodes(self):
raise NotImplementedError
# Returns the names of the nodes, in the order of get_nodes.
def get_node_names(self):
raise NotImplementedError
# Returns the number of edges in the entire graph.
def get_num_edges(self):
raise NotImplementedError
# Returns the number of edges in the graph which are connected to a particular node.
def get_num_connected_edges(self, node):
raise NotImplementedError
# Return the number of nodes in the graph.
def get_num_nodes(self):
raise NotImplementedError
# Return the list of parents of a node.
def get_parents(self, node):
raise NotImplementedError
# Return true iff node1 is adjacent to node2 in the graph.
def is_adjacent_to(self, node1, node2):
raise NotImplementedError
# Return true iff node1 is an ancestor of node2.
def is_ancestor_of(self, node1, node2):
raise NotImplementedError
# Return true iff node1 is a possible ancestor of node2.
#
# This is a low priority method and may not be implemented.
def possible_ancestor(self, node1, node2):
raise NotImplementedError
# Return true iff node1 is a child of node2.
def is_child_of(self, node1, node2):
raise NotImplementedError
# Returns true iff node1 is a parent of node2.
def is_parent_of(self, node1, node2):
raise NotImplementedError
# Returns true iff node1 is a proper ancestor of node2.
def is_proper_ancestor_of(self, node1, node2):
raise NotImplementedError
# Returns true iff node1 is a proper descendant of node2.
def is_proper_descendant_of(self, node1, node2):
raise NotImplementedError
# Returns true iff node1 is a descendant of node2.
def is_descendant_of(self, node1, node2):
raise NotImplementedError
# A node Y is a definite nondescendent of a node X just in case there is no
# semi-directed path from X to Y.
#
# Returns true if node 2 is a definite nondecendent of node 1.
#
# This is a low priority method and may not be implemented
def def_non_descendent(self, node1, node2):
raise NotImplementedError
# Returns true if node2 is a definite noncollider between node1 and node3.
def is_def_noncollider(self, node1, node2, node3):
raise NotImplementedError
# Returns true if node2 is a definite collider between node1 and node3.
def is_def_collider(self, node1, node2, node3):
raise NotImplementedError
# Returns true if node1 and node2 are d-connected on the set of nodes z.
def is_dconnected_to(self, node1, node2, z):
raise NotImplementedError
# Returns true if node1 and node2 are d-separated on the set of nodes z.
def is_dseparated_from(self, node1, node2, z):
raise NotImplementedError
# A path U is possibly-d-connecting if every definite collider on U
# is a possible ancestor of a node in z and every definite non-collider is
# not in z.
#
# Returns true iff node1 and node2 are possibly d-connected on z.
#
# This is a low priority method and may not be implemented.
def poss_dconnected_to(self, node1, node2, z):
raise NotImplementedError
# Returns true if the graph is a pattern.
def is_pattern(self):
raise NotImplementedError
# Sets whether the graph is a pattern.
def set_pattern(self, pattern):
raise NotImplementedError
# Returns true if the graph is a PAG.
def is_pag(self):
raise NotImplementedError
# Sets whether the graph is a PAG.
def set_pag(self, pag):
raise NotImplementedError
# Returns true iff there is a single directed edge from node1 to node2.
def is_directed_from_to(self, node1, node2):
raise NotImplementedError
# REturns true iff there is a single undirected edge between node1 and node2.
def is_undirected_from_to(self, node1, node2):
raise NotImplementedError
# A directed edge A->B is definitely visible if there is a node C not
# adjacent to B such that C*->A is in the PAG_of_the_true_DAG.
#
# Returns true iff the given edge is definitely visible.
#
# This is a low priority method and may not be implemented.
def def_visible(self, edge):
raise NotImplementedError
# Returns true iff the given node is exogenous.
def is_exogenous(self, node):
raise NotImplementedError
# Returns the nodes adjacent to the given node with the given proximal endpoint.
def get_nodes_into(self, node, endpoint):
raise NotImplementedError
# Returns the nodes adjacent to the given node with the given distal endpoint.
def get_nodes_out_of(self, node, endpoint):
raise NotImplementedError
# Removes the given edge from the graph.
def remove_edge(self, edge):
raise NotImplementedError
# Removes the edge connecting the given two nodes, provided there is exactly one such edge.
def remove_connecting_edge(self, node1, node2):
raise NotImplementedError
# Removes all edges connecting node A to node B. In most cases, this will
# remove at most one edge, but since multiple edges are permitted in some
# graph implementations, the number will in some cases be greater than
# one.
def remove_connecting_edges(self, node1, node2):
raise NotImplementedError
# Iterates through the list and removes any permissible edges found. The
# order in which edges are removed is the order in which they are presented
# in the iterator.
def remove_edges(self, edges):
raise NotImplementedError
# Removes a node from the graph.
def remove_node(self, node):
raise NotImplementedError
# Iterates through the list and removes any permissible nodes found. The
# order in which nodes are removed is the order in which they are presented
# in the iterator.
def remove_nodes(self, nodes):
raise NotImplementedError
# Sets the endpoint type at the 'to' end of the edge from 'from' to 'to' to
# the given endpoint. Note: NOT CONSTRAINT SAFE
def set_endpoint(self, node1, node2, endpoint):
raise NotImplementedError
# Constructs and returns a subgraph consisting of a given subset of the
# nodes of this graph together with the edges between them.
def subgraph(self, nodes):
raise NotImplementedError
# Returns a string representation of the graph.
def __str__(self):
raise NotImplementedError
# Transfers nodes and edges from one graph to another. One way this is
# used is to change graph types. One constructs a new graph based on the
# old graph, and this method is called to transfer the nodes and edges of
# the old graph to the new graph.
def transfer_nodes_and_edges(self, graph):
raise NotImplementedError
def transfer_attributes(self, graph):
raise NotImplementedError
# Returns the list of ambiguous triples associated with this graph. Triples <x, y, z> that no longer
# lie along a path in the getModel graph are removed.
def get_ambiguous_triples(self):
raise NotImplementedError
# Returns the set of underlines associated with this graph.
def get_underlines(self):
raise NotImplementedError
# Returns the set of dotted underlines associated with this graph.
def get_dotted_underlines(self):
raise NotImplementedError
# Returns true iff the triple <node1, node2, node3> is set as ambiguous.
def is_ambiguous_triple(self, node1, node2, node3):
raise NotImplementedError
# Returns true iff the triple <node1, node2, node3> is set as underlined.
def is_underline_triple(self, node1, node2, node3):
raise NotImplementedError
# Returns true iff the triple <node1, node2, node3> is set as dotted underlined.
def is_dotted_underline_triple(self, node1, node2, node3):
raise NotImplementedError
# Adds the triple <node1, node2, node3> as an ambiguous triple to the graph.
def add_ambiguous_triple(self, node1, node2, node3):
raise NotImplementedError
# Adds the triple <node1, node2, node3> as an underlined triple to the graph.
def add_underline_triple(self, node1, node2, node3):
raise NotImplementedError
# Adds the triple <node1, node2, node3> as a dotted underlined triple to the graph.
def add_dotted_underline_triple(self, node1, node2, node3):
raise NotImplementedError
# Removes the triple <node1, node2, node3> from the set of ambiguous triples.
def remove_ambiguous_triple(self, node1, node2, node3):
raise NotImplementedError
# Removes the triple <node1, node2, node3> from the set of underlined triples.
def remove_underline_triple(self, node1, node2, node3):
raise NotImplementedError
# Removes the triple <node1, node2, node3> from the set of dotted underlined triples.
def remove_dotted_underline_triple(self, node1, node2, node3):
raise NotImplementedError
# Sets the list of ambiguous triples to the triples in the given set.
def set_ambiguous_triples(self, triples):
raise NotImplementedError
# Sets the list of underlined triples to the triples in the given set.
def set_underline_triples(self, triples):
raise NotImplementedError
# Sets the list of dotted underlined triples to the triples in the given set.
def set_dotted_underline_triples(self, triples):
raise NotImplementedError
# Returns a tier ordering for acyclic graphs.
def get_causal_ordering(self):
raise NotImplementedError
# Returns true if the given node is parameterizable.
def is_parameterizable(self, node):
raise NotImplementedError
# Returns true if this is a time lag model.
def is_time_lag_model(self):
raise NotImplementedError
# Returns the nodes in the sepset of node1 and node2.
def get_sepset(self, node1, node2):
raise NotImplementedError
# Sets the list of nodes for this graph.
def set_nodes(self, nodes):
raise NotImplementedError
def get_all_attributes(self):
raise NotImplementedError
def get_attribute(self, key):
raise NotImplementedError
def remove_attribute(self, key):
raise NotImplementedError
def add_attribute(self, key, value):
raise NotImplementedError
|
# coding: utf-8
class TestApp(object):
def setup(self):
pass
def teardown(self):
pass
def test_app(self):
assert True
def test_app2(self):
assert True
|
class BST:
class Node:
def __init__(self, x = None, l = None, r = None):
self.data = x
self.left = l
self.right = r
def is_leaf(self):
return self.left == None and self.right == None
def __str__(self):
return '(' + str(self.data) + ')'
def __repr__(self):
result = '(' + repr(self.data) + ' @' + str(id(self)) +\
' left -> '
if self.left == None:
result += 'None'
else:
result += '@' + str(id(self.left))
result += ' right -> '
if self.right == None:
result += 'None'
else:
result += '@' + str(id(self.right))
result += ')'
return result
def __init__(self, orig = None):
self.root = None
if orig != None:
for x in orig:
self.add(x)
#############################################################
#
# These methods will call the methods that YOU must implement
#
#############################################################
def __len__(self):
return self.subtree_size(self.root)
def height(self):
return self.subtree_height(self.root)
def sum(self):
return self.subtree_sum(self.root)
def __contains__(self, value):
return self.subtree_contains(value, self.root)
def deepest_value(self):
if self.root == None:
return [None, 0]
else:
return self.subtree_deepest( self.root, 1)
######################################################################
#
# YOU MUST MODIFY THE METHODS BELOW THIS LINE
# (But look at the methods in the section just above,
# to see how recursion starts)
#
# | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
# v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v v
''' Exercise 1: return True if root is None '''
def is_empty(self):
if self.root == None:
return True
return False
''' Exercise 2: return 0 if node is None,
or 1 + sum or left and right sizes '''
def subtree_size(self, node):
if node == None:
return 0
else:
return 1 + self.subtree_size(node.left) + self.subtree_size(node.right)
''' Exercise 3: return 0 if node is None,
or 1 + max of left and right heights '''
def subtree_height(self, node):
if node == None:
return 0
else:
return 1 + max(self.subtree_size(node.left), self.subtree_size(node.right))
''' Exercise 4: start at root, and loop node = node.right '''
def rightmost_data(self):
if self.root == None:
return None
else:
node = self.root.right
while node.right != None:
node = node.right
return node
''' Exercise 5: return 0 if node is None,
or data + left and right sums '''
def subtree_sum(self,node):
if node == None:
return 0
else:
return node.data + self.subtree_sum(node.left) + self.subtree_sum(node.right)
''' Exercise 6: False if node is None,
otherwise go right or left until you find value '''
def subtree_contains(self, value, node):
return False
''' Exercise 7: return node's data and depth, if it's a leaf,
otherwise find deepest in both subtrees, return deeper pair '''
def subtree_deepest(self, node, depth):
return [None, 0]
# ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^
# | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
#
# THE METHODS YOU MUST MODIFY ARE ABOVE THIS LINE
#
#########################################################################
def add(self, value):
# print 'add: value=',value
# print 'before add, tree is:',
# print repr(self)
if self.root == None:
self.root = self.Node(value, None, None)
else:
p = self.root
while True:
if p.data == value:
return False
elif value < p.data:
if p.left == None:
p.left = self.Node(value)
return True
else:
p = p.left
else: # value > p.data
if p.right == None:
p.right = self.Node(value)
return True
else:
p = p.right
def inorder(self):
result = []
self.inorder_into_list(self.root, result)
return result
def inorder_into_list(self, node, result):
# print 'entering inorder_list.'
# print ' node=',repr(node)
# print ' result=',result
if node != None:
self.inorder_into_list(node.left, result)
result.append(node.data)
self.inorder_into_list(node.right, result)
def __str__(self):
l = self.inorder()
return str(l)
def __repr__(self):
result = 'BST(\n'
result += self.subtree_repr(self.root, 0)
result += ')'
return result
def subtree_repr(self, node, depth):
if node != None:
r_repr = self.subtree_repr(node.right, depth+1)
l_repr = self.subtree_repr(node.left, depth+1)
return r_repr + \
' ' + ' ' * depth + repr(node) + '\n' +\
l_repr
else:
return ''
def main():
empty_tree = BST()
print ("Is it empty?", empty_tree.is_empty())
tree = BST([3, 1, 4, 1, 5, 9, 2, 6, 5, 3, 5, 8, 9, 7])
print ("Is it empty?", tree.is_empty())
print ("tree values:", tree)
print ("repr(tree):\n",repr(tree))
print ("size:",len(tree))
print ("height:",tree.height())
print ("rightmost:",tree.rightmost_data())
print ("sum:",tree.sum())
print ("contains 5?", (5 in tree))
print ("contains 0?", (0 in tree))
[value, depth] = tree.deepest_value()
print ("deepest value:",value,"at depth",depth)
if __name__ == '__main__':
main()
|
class LabeledImage(object):
def __init__(self):
self.height = -1
self.width = -1
self.filename = ""
self.source_id = -1
self.encoded = -1
self.format = str.encode('jpeg')
self.xmins = []
self.xmaxs = []
self.ymins = []
self.ymaxs = []
self.is_occluded = []
self.is_truncated = []
self.is_group_of = []
self.is_depicted = []
self.is_inside = []
self.text = []
self.label = []
def equal(self, img_name):
if img_name == self.filename:
return True
else:
return False
# def set_height(self, val):
# self.height = val
#
# def set_width(self, val):
# self.width = val
#
# def set_filename(self, val):
# self.filename = val
#
# def set_source_id(self, val):
# self.source_id = val
#
# def set_encoded(self, val):
# self.encoded = val
#
# def set_format(self, val):
# self.format = val
#
# def set_xmin(self, val):
# self.xmin = val
#
# def set_xmax(self, val):
# self.xmax = val
#
# def set_ymin(self, val):
# self.ymin = val
#
# def set_ymax(self, val):
# self.ymax = val
#
# def set_text(self, val):
# self.text = val
#
# def set_label(self, val):
# self.label = val
#
# def get_height(self):
# return self.height
#
# def get_width(self):
# return self.width
#
# def get_filename(self):
# return self.filename
#
# def get_source_id(self):
# return self.source_id
#
# def get_encoded(self):
# return self.encoded
#
# def get_format(self):
# return self.format
#
# def get_xmin(self):
# return self.xmin
#
# def get_xmax(self):
# return self.xmax
#
# def get_ymin(self):
# return self.ymin
#
# def get_ymax(self):
# return self.ymax
#
# def get_text(self):
# return self.text
#
# def get_label(self):
# return self.label
|
class InvalidConfiguration(Exception):
pass
class RegionNotFound(Exception):
pass
|
#K0 = Startkapital
#p = Zins
#n = Perioden
#K = Endkapital
K0 = float(input("Wieviel Startkapital hast du?"))
p = float(input("Wie hoch ist der Zins?"))
n = float(input("wieviele Perioden legst du an?"))
#berechnung K
K = (K0*(1+p)**n)
print("Das Endkapital nach ", n, " Perioden beträgt: ",K)
|
#
# PySNMP MIB module HPN-ICF-RS485-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/HPN-ICF-RS485-MIB
# Produced by pysmi-0.3.4 at Wed May 1 13:41:13 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, ObjectIdentifier, OctetString = mibBuilder.importSymbols("ASN1", "Integer", "ObjectIdentifier", "OctetString")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, ConstraintsUnion, SingleValueConstraint, ValueSizeConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ConstraintsUnion", "SingleValueConstraint", "ValueSizeConstraint", "ValueRangeConstraint")
hpnicfCommon, = mibBuilder.importSymbols("HPN-ICF-OID-MIB", "hpnicfCommon")
ifIndex, = mibBuilder.importSymbols("IF-MIB", "ifIndex")
InetAddressType, InetAddress = mibBuilder.importSymbols("INET-ADDRESS-MIB", "InetAddressType", "InetAddress")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
ModuleIdentity, Unsigned32, Integer32, IpAddress, Counter64, iso, TimeTicks, Gauge32, Counter32, NotificationType, MibIdentifier, Bits, ObjectIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn = mibBuilder.importSymbols("SNMPv2-SMI", "ModuleIdentity", "Unsigned32", "Integer32", "IpAddress", "Counter64", "iso", "TimeTicks", "Gauge32", "Counter32", "NotificationType", "MibIdentifier", "Bits", "ObjectIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn")
TextualConvention, RowStatus, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "RowStatus", "DisplayString")
hpnicfRS485 = ModuleIdentity((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109))
if mibBuilder.loadTexts: hpnicfRS485.setLastUpdated('200910210000Z')
if mibBuilder.loadTexts: hpnicfRS485.setOrganization('')
if mibBuilder.loadTexts: hpnicfRS485.setContactInfo('')
if mibBuilder.loadTexts: hpnicfRS485.setDescription('The objects in this MIB module are used to manage RS485 interfaces, and manage sessions on them.')
hpnicfRS485Properties = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1))
hpnicfRS485PropertiesTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1), )
if mibBuilder.loadTexts: hpnicfRS485PropertiesTable.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485PropertiesTable.setDescription('Propertie table.')
hpnicfRS485PropertiesEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"))
if mibBuilder.loadTexts: hpnicfRS485PropertiesEntry.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485PropertiesEntry.setDescription('Propertie entry.')
hpnicfRS485RawSessionNextIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 64))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfRS485RawSessionNextIndex.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485RawSessionNextIndex.setDescription('The next valid index of raw sessions, from 1 to 64, which session has been created. When there is no valid index left, it will return 0.')
hpnicfRS485BaudRate = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10))).clone(namedValues=NamedValues(("bautRate300", 1), ("bautRate600", 2), ("bautRate1200", 3), ("bautRate2400", 4), ("bautRate4800", 5), ("bautRate9600", 6), ("bautRate19200", 7), ("bautRate38400", 8), ("bautRate57600", 9), ("bautRate115200", 10))).clone('bautRate9600')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfRS485BaudRate.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485BaudRate.setDescription("The port's baud rate.")
hpnicfRS485DataBits = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("five", 1), ("six", 2), ("seven", 3), ("eight", 4))).clone('eight')).setUnits('bit').setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfRS485DataBits.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485DataBits.setDescription("The port's number of data bits in a character.")
hpnicfRS485Parity = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("none", 1), ("odd", 2), ("even", 3), ("mark", 4), ("space", 5))).clone('none')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfRS485Parity.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485Parity.setDescription("The port's sense of a character parity bit.")
hpnicfRS485StopBits = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("one", 1), ("two", 2), ("oneAndHalf", 3))).clone('one')).setUnits('bit').setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfRS485StopBits.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485StopBits.setDescription("The port's number of stop bits.")
hpnicfRS485FlowControl = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("none", 1), ("hardware", 2), ("xonOrxoff", 3))).clone('none')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfRS485FlowControl.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485FlowControl.setDescription("The port's type of input flow control. 'none' indicates no flow control at this level. 'hardware' indicates use of hardware signals. 'xonOrxoff' indicates use of software function.")
hpnicfRS485TXCharacters = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 7), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfRS485TXCharacters.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485TXCharacters.setDescription('The number of output characters for the port.')
hpnicfRS485RXCharacters = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 8), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfRS485RXCharacters.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485RXCharacters.setDescription('The number of input characters for the port.')
hpnicfRS485TXErrCharacters = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 9), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfRS485TXErrCharacters.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485TXErrCharacters.setDescription('The number of output error characters for the port.')
hpnicfRS485RXErrCharacters = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 10), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfRS485RXErrCharacters.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485RXErrCharacters.setDescription('The number of input error characters for the port.')
hpnicfRS485ResetCharacters = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 1, 1, 1, 11), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("counting", 1), ("clear", 2))).clone('counting')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfRS485ResetCharacters.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485ResetCharacters.setDescription('Reset the counters to zero, inlucding hpnicfRS485TXCharacters, hpnicfRS485RXCharacters, hpnicfRS485TXErrCharacters and hpnicfRS485RXErrCharacters.')
hpnicfRS485RawSessions = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2))
hpnicfRS485RawSessionSummary = MibIdentifier((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 1))
hpnicfRS485RawSessionMaxNum = MibScalar((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 64))).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfRS485RawSessionMaxNum.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485RawSessionMaxNum.setDescription('The max number of raw sessions what we can support.')
hpnicfRS485RawSessionTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2), )
if mibBuilder.loadTexts: hpnicfRS485RawSessionTable.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485RawSessionTable.setDescription('RS485 raw session table. Data recieved from rs485 will be sent to the destination by raw sockets.')
hpnicfRS485RawSessionEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "HPN-ICF-RS485-MIB", "hpnicfRS485SessionIndex"))
if mibBuilder.loadTexts: hpnicfRS485RawSessionEntry.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485RawSessionEntry.setDescription('Parameters of a session, including remote IP address, remote port, local port, and so on.')
hpnicfRS485SessionIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 64)))
if mibBuilder.loadTexts: hpnicfRS485SessionIndex.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485SessionIndex.setDescription('Raw session index.')
hpnicfRS485SessionType = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("udp", 1), ("tcpClient", 2), ("tcpServer", 3)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfRS485SessionType.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485SessionType.setDescription('The type of a session. A session can use UDP socket, TCP socket as a client, or TCP socket as a server.')
hpnicfRS485SessionAddType = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 3), InetAddressType().clone('ipv4')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: hpnicfRS485SessionAddType.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485SessionAddType.setDescription('This object indicates the transport type of the address contained in hpnicfRS485SessionRemoteIP object.')
hpnicfRS485SessionRemoteIP = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 4), InetAddress()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hpnicfRS485SessionRemoteIP.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485SessionRemoteIP.setDescription("The IP of remote entry. When session type is 'udp', this is the IP of the peer. When session type is 'tcpClient', this is the IP of the server . When session type is 'tcpServer', this is invalid, it will return 0. ")
hpnicfRS485SessionRemotePort = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1024, 65535))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hpnicfRS485SessionRemotePort.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485SessionRemotePort.setDescription("The port of remote entry. When session type is 'udp', this is port of the peer. When session type is 'tcpClient', this is the port of the server. When session type is 'tcpServer', this is invalid, it will return 0. ")
hpnicfRS485SessionLocalPort = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1024, 65535))).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hpnicfRS485SessionLocalPort.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485SessionLocalPort.setDescription("Local socket port. When session type is 'udp', this is local UDP socket port. When session type is 'tcpClient', this is invalid, it will return 0. When session type is 'tcpServer', this is the local port which will be listened. ")
hpnicfRS485SessionStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 2, 1, 7), RowStatus()).setMaxAccess("readcreate")
if mibBuilder.loadTexts: hpnicfRS485SessionStatus.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485SessionStatus.setDescription('The status column used for creating, modifying, and deleting instances of the columnar objects in raw session table.')
hpnicfRS485RawSessionErrInfoTable = MibTable((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 3), )
if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfoTable.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfoTable.setDescription('Error infomation table. It is fail to create a session, management station can get infomation from this table.')
hpnicfRS485RawSessionErrInfoEntry = MibTableRow((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 3, 1), ).setIndexNames((0, "IF-MIB", "ifIndex"), (0, "HPN-ICF-RS485-MIB", "hpnicfRS485SessionIndex"))
if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfoEntry.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfoEntry.setDescription('Error infomaition.')
hpnicfRS485RawSessionErrInfo = MibTableColumn((1, 3, 6, 1, 4, 1, 11, 2, 14, 11, 15, 2, 109, 2, 3, 1, 1), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfo.setStatus('current')
if mibBuilder.loadTexts: hpnicfRS485RawSessionErrInfo.setDescription("Error infomation string. When a response with 'noCreeation' for row creation in table hpnicfRS485RawSessionTable, the management station should display this string to users, thus users can konw the reason.")
mibBuilder.exportSymbols("HPN-ICF-RS485-MIB", hpnicfRS485RawSessionSummary=hpnicfRS485RawSessionSummary, hpnicfRS485RawSessionMaxNum=hpnicfRS485RawSessionMaxNum, hpnicfRS485SessionRemotePort=hpnicfRS485SessionRemotePort, hpnicfRS485SessionLocalPort=hpnicfRS485SessionLocalPort, hpnicfRS485TXErrCharacters=hpnicfRS485TXErrCharacters, hpnicfRS485StopBits=hpnicfRS485StopBits, hpnicfRS485PropertiesEntry=hpnicfRS485PropertiesEntry, hpnicfRS485SessionIndex=hpnicfRS485SessionIndex, hpnicfRS485RXCharacters=hpnicfRS485RXCharacters, hpnicfRS485SessionRemoteIP=hpnicfRS485SessionRemoteIP, hpnicfRS485RawSessionErrInfoTable=hpnicfRS485RawSessionErrInfoTable, hpnicfRS485RawSessionErrInfoEntry=hpnicfRS485RawSessionErrInfoEntry, hpnicfRS485Properties=hpnicfRS485Properties, hpnicfRS485FlowControl=hpnicfRS485FlowControl, hpnicfRS485SessionStatus=hpnicfRS485SessionStatus, hpnicfRS485SessionAddType=hpnicfRS485SessionAddType, hpnicfRS485=hpnicfRS485, hpnicfRS485Parity=hpnicfRS485Parity, hpnicfRS485RXErrCharacters=hpnicfRS485RXErrCharacters, hpnicfRS485RawSessionTable=hpnicfRS485RawSessionTable, hpnicfRS485RawSessionNextIndex=hpnicfRS485RawSessionNextIndex, hpnicfRS485RawSessionEntry=hpnicfRS485RawSessionEntry, hpnicfRS485RawSessionErrInfo=hpnicfRS485RawSessionErrInfo, hpnicfRS485DataBits=hpnicfRS485DataBits, PYSNMP_MODULE_ID=hpnicfRS485, hpnicfRS485ResetCharacters=hpnicfRS485ResetCharacters, hpnicfRS485BaudRate=hpnicfRS485BaudRate, hpnicfRS485RawSessions=hpnicfRS485RawSessions, hpnicfRS485PropertiesTable=hpnicfRS485PropertiesTable, hpnicfRS485TXCharacters=hpnicfRS485TXCharacters, hpnicfRS485SessionType=hpnicfRS485SessionType)
|
# https://leetcode.com/problems/lru-cache/#
class Node:
def __init__(self, value):
self.value = value
self.next = None
self.prev = None
def __repr__(self):
if not self:
return "{}()".format(self.__class__.__name__)
return "{}({})".format(self.__class__.__name__, self.value)
class LinkedList:
def __init__(self, iterable=None):
self.sentinel = Node(None)
# at the top next left
self.sentinel.next = self.sentinel
# at the top previous right
self.sentinel.prev = self.sentinel
self.__len = 0
if iterable is not None:
self += iterable
def get_node(self, index):
node = self.sentinel
i = 0
while i <= index:
node = node.next
if node == self.sentinel:
break
i += 1
if node == self.sentinel:
node = None
return node
def __getitem__(self, index):
node = self.get_node(index)
return node.value
def __len__(self):
return self.__len
def __setitem__(self, index, value):
node = self.get_node(index)
node.value = value
def __delitem__(self, index):
node = self.get_node(index)
self.del_node(node)
def del_node(self, node):
if node:
node.prev.next = node.next
if node.next:
node.next.prev = node.prev
node.prev = None
node.next = None
node.value = None
self.__len -= 1
def __repr__(self):
return str(self.to_list())
def to_list(self):
elts = []
curr = self.sentinel.next
while curr != self.sentinel:
elts.append(curr.value)
curr = curr.next
return elts
def append(self, value):
node = Node(value)
self.insert_between(node, self.sentinel.prev, self.sentinel)
def appendleft(self, value):
node = Node(value)
self.insert_between(node, self.sentinel, self.sentinel.next)
return node
def insert(self, index, value):
new_node = Node(value)
len_ = len(self)
if len_ == 0:
self.insert_between(new_node, self.sentinel, self.sentinel)
elif index >= 0 and index < len_:
node = self.get_node(index)
self.insert_between(new_node, node.prev, node)
elif index == len_:
self.insert_between(new_node, self.sentinel.prev, self.sentinel)
else:
raise IndexError
self.__len += 1
def insert_between(self, node, left_node, right_node):
if node and left_node and right_node:
node.prev = left_node
node.next = right_node
left_node.next = node
right_node.prev = node
else:
raise IndexError
def merge_left(self, other):
self.sentinel.next.prev = other.sentinel.prev
other.sentinel.prev.next = self.sentinel.next
self.sentinel.next = other.sentinel.next
self.sentinel.next.prev = self.sentinel
def merge_right(self, other):
self.sentinel.prev.next = other.sentinel.next
other.sentinel.next.prev = self.sentinel.prev
self.sentinel.prev = other.sentinel.prev
self.sentinel.prev.next = self.sentinel
def pop_node(self):
value = self.sentinel.prev.value
self.del_node(self.sentinel.prev)
return value
class LRUCache:
def __init__(self, capacity: int):
self.access = {}
self.data = LinkedList()
self.capacity = capacity
def get(self, key: int) -> int:
if key in self.access:
node = self.access[key]
value_pair = node.value
self.data.del_node(node)
self.access[key] = self.data.appendleft(value_pair)
return value_pair[1]
else:
return -1
def put(self, key: int, value: int) -> None:
if not key in self.access and len(self.access) == self.capacity:
remove_node_value = self.data.pop_node()
del self.access[remove_node_value[0]]
if key in self.access:
node = self.access[key]
self.data.del_node(node)
self.access[key] = self.data.appendleft((key, value))
# lRUCache = LRUCache(2)
# lRUCache.put(1, 1) # cache is {1=1}
# lRUCache.put(2, 2) # cache is {1=1, 2=2}
# # lRUCache.put(3, 3) # cache is {1=1, 2=2}
# # lRUCache.put(4, 4) # cache is {1=1, 2=2}
# print(lRUCache.get(1)) # return 1
# lRUCache.put(3, 3) # LRU key was 2, evicts key 2, cache is {1=1, 3=3}
# print(lRUCache.get(2)) # returns -1 (not found)
# lRUCache.put(4, 4) # LRU key was 1, evicts key 1, cache is {4=4, 3=3}
# print(lRUCache.get(1)) # return -1 (not found)
# print(lRUCache.get(3)) # return 3
# print(lRUCache.get(4)) # return 4
#
# # ["LRUCache","put","put","get","put","get","get"]
# [[2],[2,1],[1,1],[2],[4,1],[1],[2]]
# lRUCache = LRUCache(2)
# lRUCache.put(2,1)
# lRUCache.put(1,1)
# print(lRUCache.get(2))
# lRUCache.put(4,1)
# print(lRUCache.get(1))
# print(lRUCache.get(2)) |
information = {
"site_title": "News Room",
"site_short_name" : "News Room",
"site_name" : "News Room",
"site_motto" : "Get news anywhere",
"site_url" : "https://github.com/arsho",
"site_phone" : "+8801731246426",
"site_email" : "shovon.sylhet@gmail.com",
"site_year" : "2017",
"site_admin_name" : "Admin",
"site_admin_location": "Dhaka",
"developer_company" : "",
"developer_name" : "Ahmedur Rahman Shovon",
"developer_url" : "https://github.com/arsho",
"developer_phone" : "+8801731246426",
"developer_email" : "shovon.sylhet@gmail.com",
"page_header": "",
"page_description": ""
} |
# coding=utf-8
"""
Base network servers - TODO: Describe
Modules
=======
.. currentmodule:: ultros.core.networks.base.servers
.. autosummary::
:toctree: servers
server
"""
__author__ = "Gareth Coles"
|
def designer_mat1(val, sep, txt):
c = sep
t = txt
for i in range(m // n):
print((c * i).rjust(n + 2, "-") + c + (c * i).ljust(n + 2, "-"))
print("".rjust(n, "-") + t + "".ljust(n, "-"))
for i in range(m // n - 1, -1, -1):
print((c * i).rjust(n + 2, "-") + c + (c * i).ljust(n + 2, "-"))
def designer_mat2(val, sep, txt):
c = sep
t = txt
N, M = map(int, val.split())
for i in range(1, N, 2):
print((c * i).center(M, '-'))
print(t.center(M, '-'))
for i in range(N - 2, -1, -2):
print((c * i).center(M, '-'))
n = 9
m = 21
c = ".|."
t = "WELCOME"
designer_mat1(f"{n} {m}", c, t)
designer_mat2(f"{n} {m}", c, t)
|
#! /usr/bin/python
# -*- coding iso-8859-15
# Entero INT / LONG
a="cadena1"
b="cadena2"
c=a+b
print (a)
print (b)
print (c) |
# slicing string
if False:
frase = 'Curso em Vídeo Python'
print(frase) # Exibe a frase inteira
print(frase[9]) # Exibe o caractere de índice [9] na frase, no caso, a letra "V"
print(frase[9:13]) # Exibe desde o caractere de índice [9] até o [13], porém excluindo este último, ficando "Víde"
print(frase[9:14]) # Exibe desde o caractere de índice [9] até o [14], porém excluindo este último, ficando "Vídeo"
print(frase[9:21]) # Apesar de o índice [21] não existir na frase, como o último é excluído, fica "Vídeo Python"
print(frase[9:21:2]) # Exibe do índice [9] ao [21], pulando de 2 em 2, ficando "VdoPto"
print(frase[:5]) # Exibe do índice inicial (0, no caso) até o [5] (lembrando: excluindo este), ficando "Curso"
print(frase[15:]) # Exibe do índice [15] até o final (21, no caso), ficando "Python"
print(frase[9::3]) # Exibe do índice [9] até o final (21, no caso), pulando de 3 em 3, ficando "VePh"
print(frase[::2]) # Exibe do índice inicial [0] até o final (21, no caso), pulando de 2 em 2, ficando "Croe íe yhn"
# Strings Analysis
if False:
frase = 'Curso em Vídeo Python'
print(len(frase)) # Exibe a quantidade de caracteres de uma string (no caso, 21)
print(frase.count('o'))
""" Exibe a quantidade de vezes que o caractere entre parênteses (no caso, "o" minúsculo)
aparece na string (no caso, 3) """
print(frase.count('o', 0, 13))
""" Idem ao caso acima, porém aqui foi incluído um fatiamento do índice [0] ao [13]-1, exibindo "1" """
print(frase.count('o', 0, 14)) # Idem ao caso acima, porém aqui o índice final ficou sendo [14]-1, exibindo "2"
print(frase.find('deo')) # Exibe o índice inicial (11, no caso) do que está entre parênteses
print(frase.find('Android')) # Quando se procura na string algo que não está presente, o valor exibido é "-1"
print('Curso' in frase) # Verifica se o que está entre aspas está presente na string, e se sim, exibe "True"
# string transformation
if False:
frase = 'Curso em Vídeo Python'
frase2 = ' Aprenda Python '
print(frase.replace('Python', 'Android')) # Exibe a string com um termo existente substituído por outro
print(frase.upper()) # Exibe a string toda em letras maiúsculas
print(frase.lower()) # Exibe a string toda em letras minúsculas
print(
frase.capitalize()) # Exibe a string capitalizada (com apenas o primeiro caractere da frase em letra maiúscula)
print(frase.title()) # Exibe a string estilo título (com o primeiro caractere de cada palavra em letra maiúscula)
print(frase) # A string original não foi alterada permanentemente por nenhum dos comandos utilizados acima
print('') # Linha em branco para separar os comandos direcionados a cada string
print(frase2.strip()) # Remove todos os espaços excedentes da string
print(frase2.rstrip()) # Remove os espaços excedentes apenas do lado direito da string (inclusão do "r" no comando)
print(
frase2.lstrip()) # Remove os espaços excedentes apenas do lado esquerdo da string (inclusão do "l" no comando)
print(
frase2) # Novamente, a string original não foi alterada permanentemente por nenhum dos comandos utilizados acima
print('') # Linha em branco
frase = frase.replace('Python', 'Android') # Desta forma sim, a string original é substituída permanentemente
print(frase) # Exibe a string original já com as modificações feitas acima
# String Split and Join
if False:
frase = 'Curso em Vídeo Python'
frase_separada = frase.split() # Separa cada palavra da string em uma lista; os índices são refeitos
print(frase_separada) # Exibe a lista de palavras separadas
"""
ÍNDICES REFEITOS
[C] [u] [r] [s] [o] [e] [m] [V] [í] [d] [e] [o] [P] [y] [t] [h] [o] [n]
[0] [1] [2] [3] [4] [0] [1] [0] [1] [2] [3] [4] [0] [1] [2] [3] [4] [5]
[ 0 ] [ 1 ] [ 2 ] [ 3 ]
"""
frase_junta_hifen = '-'.join(
frase_separada) # Junta as palavras separadas na lista com o caractere "-" como divisor
print(frase_junta_hifen) # Exibe a string junta novamente, desta vez com "-" no lugar dos espaços
frase_junta_espaco = ' '.join(frase_separada) # Junta as palavras separadas na lista usando um espaço como divisor
print(frase_junta_espaco) # Exibe a string junta novamente, com o espaço sendo o divisor, como na origin
# Long Text Print
if False:
print('''Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Cras aliquam sapien non augue pharetra finibus. Integer ac justo quam.
Pellentesque at eros vel tortor pharetra mollis sit amet convallis sem.
Cras vel lobortis metus. Donec metus magna, fermentum eget dolor at, egestas dapibus sem.
Etiam varius, enim ut tincidunt tristique, dui risus tristique quam, id iaculis ipsum sem nec elit.
Nunc iaculis sit amet diam id lobortis. Nam egestas congue lectus vitae maximus.''')
# manipulation list
if False:
frase = 'Curso em Vídeo Python'
frase_dividida = frase.split() # Atribui à variável "frase_dividida" a lista de palavras contidas em "frase"
print(frase_dividida[0]) # Exibe a primeira palavra na lista criada acima
print(frase_dividida[2]) # Exibe a terceira palavra na lista
print(frase_dividida[3][0]) # Exibe a primeira letra da quarta palavra na lista
print(frase_dividida[3][0:3]) # Exibe da primeira até a terceira letra da quarta palavra na lista
print(
frase_dividida[0][::2]) # Exibe da primeira até a última letra da primeira palavra na lista, pulando de 2 em 2
|
class Motion():
def __init__(self, serial, map):
self.serial = serial
self.map = map
def move_rel(self):
"""
Move to a new location relative to robot, returns new relative position and error
:return:
"""
pass
def move(self):
"""
Sends command to move forward at a speed.
:return:
"""
pass
def turn(self):
"""
Turns at a speed in a direction.
:return:
"""
pass
def waypoint_add_global(self):
"""
Adds absolute locations according to the map.
:return:
"""
pass
def waypoint_add_rel(self):
"""
Adds relative waypoint, which means it'll have a noisy space on the global map
:return:
"""
pass
def reckon(self):
"""
Figures out the location of the robot in map.
:return:
"""
|
'''
Implement a stack class with a max API
Notes:
*
* what went right
* remembered pattern of storing max values in a separate stack
* bugs
* forgot to check for size of max stack before checking top element
'''
class Stack(object):
def __init__(self):
self.arr = []
self.max_arr = []
def push(self, el):
self.arr.append(el)
if len(self.max_arr) == 0 or self.max_arr[-1] <= el:
self.max_arr.append(el)
def pop(self):
ret = self.arr.pop()
if len(self.max_arr) > 0 and self.max_arr[-1] == ret:
self.max_arr.pop()
return ret
def max(self):
return self.max_arr[-1]
if __name__ == '__main__':
test_cases = [
[1,2,10,5,4,11],
[1,2,12,5,4,11],
[1,11,10,2,11],
[1]
]
for i, t in enumerate(test_cases):
s = Stack()
print('Test case', i)
for el in t:
s.push(el)
print(el, s.max_arr, s.max())
|
"""The min_max component."""
DOMAIN = "min_max"
PLATFORMS = ["sensor"]
|
def sample_list(lst, iter_):
return [[lst[i] for i in it] for it in iter_]
# Return a list of all pairs of elements in a list, excluding flips.
def iter_g_2D(n):
assert n >= 2
for i in range(n):
for j in range(i + 1, n):
yield i, j
def iter_gg_3D(n):
assert n >= 3
for i in range(n):
for j in range(i + 1, n):
for k in range(j + 1, n):
yield i, j, k
def iter_gn_3D(n):
assert n >= 3
for i in range(n):
for j in range(i + 1, n):
for k in range(n):
if (k != i) and (k != j):
yield i, j, k
def iter_ggn_4D(n):
assert n >= 4
for i in range(n):
for j in range(i + 1, n):
for k in range(j + 1, n):
for l in range(n):
if (l != i) and (l != j) and (l != k):
yield i, j, k, l
|
def is_numeric(line: str) -> bool:
try:
float(line)
except:
return False
else:
return True
|
#!/usr/bin/env python3
def GenerateEOLTable():
table = [0] * 16
table[ord('\n')] = 1
table[ord('\r')] = 2
line = ', '.join(str(c) for c in table)
line = line + ', // %02X - %02X' % (0, 15)
print('EOLTable:', line)
if __name__ == '__main__':
GenerateEOLTable()
|
def for_I():
for row in range(7):
for col in range(5):
if (col==2) or (row==0 or row==6):
print("*",end=" ")
else:
print(end=" ")
print()
def while_I():
i=0
while i<7:
j=0
while j<5:
if (j==2) or (i==0 or i==6):
print("*",end=" ")
else:
print(end=" ")
j+=1
i+=1
print()
|
# -*- coding: utf-8 -*-
# Copyright 2011 Alf Lervåg. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
#
# 2. Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following
# disclaimer in the documentation and/or other materials
# provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY ALF LERVÅG ``AS IS'' AND ANY EXPRESS OR
# IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL ALF LERVÅG OR CONTRIBUTORS BE
# LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
# CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
# SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR
# BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
# The views and conclusions contained in the software and
# documentation are those of the authors and should not be interpreted
# as representing official policies, either expressed or implied, of
# Alf Lervåg.
class Project(object):
def __init__(self, names, values):
# Use an internal dict so we're immutable
self._dict = {
"project": names[0],
"task": names[1],
"subtask": names[2],
"activity": names[3],
"projectid": int(values[0]),
"taskid": int(values[1]),
"subtaskid": int(values[2]),
"activityid": int(values[3])
}
def __str__(self):
return self.id
def __repr__(self):
return self.name.encode('utf-8')
@property
def name(self):
parts = [
"%(project)s",
"%(task)s",
"%(subtask)s"
]
if self._dict.get("activity"):
parts.append("%(activity)s")
return " - ".join(parts) % self._dict
@property
def id(self):
s = "%(projectid)s,%(taskid)s,%(subtaskid)s,%(activityid)s"
return s % self._dict
@property
def project_name(self):
return self._dict.get("project")
@property
def task_name(self):
return self._dict.get("task")
@property
def subtask_name(self):
return self._dict.get("subtask")
@property
def activity_name(self):
return self._dict.get("activity")
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
#this is a comment
print('Hello World!') #English
|
# General
NAME = 'router'
VERSION = '0.0.0'
# Files
RIDERS_FILE = '{input_dir}/riders.json'
VEHICLES_FILE = '{input_dir}/vehicles.json'
DEPOTS_FILE = '{input_dir}/depots.json'
PARAMS_FILE = '{input_dir}/params.json'
ROUTES_FILE = '{output_dir}/routes.json'
|
class Condition:
COMPARATOR_FUNCS = {
">=": lambda x, y: x >= y,
"<=": lambda x, y: x <= y,
">": lambda x, y: x > y,
"<": lambda x, y: x < y,
"=": lambda x, y: x == y,
"!=": lambda x, y: not x == y
}
def __init__(self, data_spec: str, value, comparator):
"""
Initialize a condition that will be checked for allowed transitions
:param data_spec: a string indicating the path to follow through the data
possible values:
- "." - check the data object directly
- "0" - check the 0th element of the data
- "foo" - check the attr foo of the data
- "foo.bar" - check attr bar of attr foo of the data
- "foo.0" - check the 0th element of attr foo of the data
- etc.
:param value: the value to which the data should be compared
:param comparator: the comparison operation to compare the value to the data
possible values: ">=", "<=", ">", "<", "=", a function
"""
self.data_spec = [elem for elem in data_spec.split('.') if elem != '']
self.value = value
self.comparator = self.COMPARATOR_FUNCS.get(comparator, None)
if not self.comparator:
self.comparator = comparator
def check_condition(self, data):
"""
Check if the condition is satisfied by the data, subject to the element
obtained by following the data spec
:param data: Any object
"""
data_element = self._extract_data(data, self.data_spec)
return self.comparator(data_element, self.value)
@classmethod
def _extract_data(cls, data, spec):
"""
Recursively follow the specified path until the desired object is obtained
:param data:
:param spec:
:return:
"""
if not spec:
return data
for i, item in enumerate(spec):
if item.isdigit():
idx = int(item)
return cls._extract_data(data[idx], spec[i+1:])
else:
if isinstance(data, dict):
return cls._extract_data(data[item], spec[i+1:])
else:
return cls._extract_data(getattr(data, item), spec[i+1:])
|
# Computes the amount of days of a number of years
years = int(input("years : "))
print(f"\ndays : {years * 365}")
|
#script to count digits in a given no.
print("enter the value of n")
n=int(input())
count=0
while(n!=0):
n=n//10
count+=1
print(count)
|
def get_index(l1, l2):
first = min(l1, l2)
second = max(l1, l2)
return str(int( 26*(first-1) + second - first - (first**2-first)/2 ))
f = open('./1-1000.txt', 'r')
freq_words = f.read().splitlines()
f.close()
frequencies = list(map(lambda x: int(x.split(',')[0]), freq_words))
words = list(map(lambda x: x.split(',')[1], freq_words))
constraints = []
index = 0
for i in range(0, len(words) - 1):
# go through the letters of the words
first_word_letters = [ord(words[i][l]) - 97 for l in
range(len(words[i]))]
first_word_badness = 10000/frequencies[i]
for j in range(i + 1, len(words)):
if len(words[i]) != len(words[j]):
continue
# we could totally memoize the below, but whatever
second_word_letters = [ord(words[j][l]) - 97 for l in
range(len(words[j]))]
second_word_badness = 10000/frequencies[j]
match_summands = [("letter_keys_match[" + get_index(fwli + 1, swli + 1)
+ "]") if fwli != swli else "1" for (fwli, swli) in zip(first_word_letters,
second_word_letters)]
badness = min(first_word_badness, second_word_badness)
constraint_string = ("constraint pair_badness[" + str(index + 1) + "] = if " + "+".join(match_summands) + " == " + \
str(len(first_word_letters)) + " then " + str(int(badness)) + " else 0 endif;")
constraints.append(constraint_string)
index += 1
f = open('./constraints.mzn', 'w')
f.write("""include "globals.mzn";
array[1..26] of var 0..7: letter_keys;
array[1..325] of var bool: letter_keys_match;
array[1.."""+str(index)+"""] of var 0..10000: pair_badness;
constraint forall (letter1 in 1..25, letter2 in (letter1+1)..26) (
let {
int: index = 26 * (letter1 - 1) + letter2 - letter1 - (letter1*letter1 - letter1) div 2 % convert from 2d alphabet index (upper right triangle) to 1d index
} in
letter_keys_match[index] = (letter_keys[letter1] == letter_keys[letter2])
);
constraint global_cardinality_low_up(letter_keys, [0, 1, 2, 3, 4, 5, 6, 7],
[3, 3, 3, 3, 3, 3, 3, 3], [4, 4, 4, 4, 4, 4, 4, 4]);
constraint forall (letter in 1..8) (
letter_keys[letter] <= letter - 1
);
constraint all_different([letter_keys[k] | k in {1,5,9,15,21}]);
constraint all_different([letter_keys[k] | k in {7,12}]); % gl
constraint all_different([letter_keys[k] | k in {13,12}]); % ml
constraint all_different([letter_keys[k] | k in {13,8}]);
constraint all_different([letter_keys[k] | k in {7,8}]);
constraint all_different([letter_keys[k] | k in {13,14}]);
constraint all_different([letter_keys[k] | k in {16,19}]);
constraint all_different([letter_keys[k] | k in {18,19}]);
constraint all_different([letter_keys[k] | k in {14,15}]);
constraint all_different([letter_keys[k] | k in {7,9}]);
constraint all_different([letter_keys[k] | k in {5,6}]);
constraint all_different([letter_keys[k] | k in {5,18}]);
constraint all_different([letter_keys[k] | k in {12,20}]);
constraint all_different([letter_keys[k] | k in {7,19}]);
constraint all_different([letter_keys[k] | k in {6,20}]);
constraint all_different([letter_keys[k] | k in {13,18}]);
constraint forall (letter in 2..26) (
let {
var int: maxkey = max([letter_keys[k] | k in 1..(letter-1)]),
} in
letter_keys[letter] <= maxkey + 1
);
solve minimize sum(pair_badness); % :: bool_search(letter_keys_match, occurrence, indomain_min, complete);
output([show(letter_keys)]);
""")
f.write("\n".join(constraints))
f.close()
|
start_rule_qualified_type = "Lua_construct.block"
def rename_type(x: str):
if x[0].isupper():
return x.capitalize()
if x == "token":
return "tbnf_token"
return x
def rename_var(x: str):
if x[0].isupper():
return "mk_" + x
return x
|
"""
Leetcode #62
"""
class Solution:
count = 0
def uniquePaths(self, m: int, n: int) -> int:
if not m:
return n
if not n:
return m
matrix = [[1 for x in range(n)] for x in range(m)]
self.count = 0 # reset counter
def helper(a, b):
if a == m or b == n:
self.count = self.count + 1
return
for path in ["right", "down"]:
if path == "right":
helper(a+1, b)
if path == "down":
helper(a, b+1)
helper(1, 1)
return self.count
def uniquePaths_DP(self, m: int, n: int) -> int:
if not m:
return n
if not n:
return m
matrix = [[0 for x in range(n)] for x in range(m)]
# set element in first column to 1
# as there is only 1 way to reach them
for i in range(n):
matrix[0][i] = 1
# set element in first row to 1
# as there is only 1 way to reach them
for i in range(m):
matrix[i][0] = 1
# expand like we're increasing m and n
for i in range(1, m):
for j in range(1, n):
# only way to reach current cell is from either up or left
matrix[i][j] = matrix[i-1][j] + matrix[i][j-1]
return matrix[-1][-1]
if __name__ == "__main__":
solution = Solution()
assert solution.uniquePaths(3, 2) == 3
assert solution.uniquePaths(7, 3) == 28
assert solution.uniquePaths_DP(3, 2) == 3
assert solution.uniquePaths_DP(7, 3) == 28
|
class Item(object):
def __init__(self, item: dict):
self.id = item.get('id')
self.order_id = item.get('order_id')
self.quantity = item.get('quantity')
self.sale_price = item.get('sale_price')
self.complements = item.get('complements')
self.product = item.get('product')
|
# Suppose you have N integers from 1 to N.
# We define a beautiful arrangement as an array that is constructed by these N numbers successfully
# if one of the following is true for the ith position (1 <= i <= N) in this array:
# The number at the ith position is divisible by i.
# i is divisible by the number at the ith position.
# Now given N, how many beautiful arrangements can you construct?
# Example 1:
# Input: 2
# Output: 2
# Explanation:
# The first beautiful arrangement is [1, 2]:
# Number at the 1st position (i=1) is 1, and 1 is divisible by i (i=1).
# Number at the 2nd position (i=2) is 2, and 2 is divisible by i (i=2).
# The second beautiful arrangement is [2, 1]:
# Number at the 1st position (i=1) is 2, and 2 is divisible by i (i=1).
# Number at the 2nd position (i=2) is 1, and i (i=2) is divisible by 1.
# Note:
# N is a positive integer and will not exceed 15.
class Solution(object):
def countArrangement(self, N):
"""
:type N: int
:rtype: int
"""
# M1. 回溯
def count(i, X, cache={}):
if i == 1:
return 1
if X not in cache: # X: set of still avaliable numbers
cache[X] = sum(count(i-1, X-{x}) for x in X
if x%i == 0 or i % x == 0)
return cache[X]
return count(N, frozenset(range(1, N + 1))) # use frozenset to ensure the fixed order
# M2. Only 15 Case, test and return
# return (1, 2, 3, 8, 10, 36, 41, 132, 250, 700, 750, 4010, 4237, 10680, 24679)[N-1] |
# AUTOGENERATED! DO NOT EDIT! File to edit: 00_core.ipynb (unless otherwise specified).
__all__ = ['square']
# Cell
def square(x):
"""Returns the square of $x$, or $x^2$"""
return x*x |
lineList = list()
with open('H:\\q2.txt') as f:
for line in f:
lineList.append(int(line.rstrip('\n')))
print(sum(lineList))
|
def bfs(G, s):
n = len(G)
visited = [False]*n
parent = [None]*n
queue = [s]
visited[s] = True
contador = 0
while queue:
u = queue.pop(0)
for v in range(len(G[u])):
if v<(len(G[u])-1) and not visited[G[u][v]]:
visited[G[u][v]] = True
parent[G[u][v]] = u
a = G[u][v]
if G[a][-1] == 1:
contador +=1
queue.append(G[u][v])
if contador== cantidadPuntosEntrega:
return parent
return parent
#En el algoritmo, tenemos un contador, el cual va a aumentar hasta haber visitado todos los puntos de entrega y luego retornará la lista con los respectivos padres.
|
# Do not edit this file directly.
# It was auto-generated by: code/programs/reflexivity/reflexive_refresh
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_file")
def tomlplusplus():
http_archive(
name = "tomlplusplus",
build_file = "//bazel/deps/tomlplusplus:build.BUILD",
sha256 = "a522eaa80a33d8c457a0b9cb3509f2e7c7a61d8e102f3c14696d5a7606a4e874",
strip_prefix = "tomlplusplus-983e22978e8792f6248695047ad7cb892c112e18",
urls = [
"https://github.com/Unilang/tomlplusplus/archive/983e22978e8792f6248695047ad7cb892c112e18.tar.gz",
],
)
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Levenshtein edit distance
# jill-jenn vie et christoph durr - 2014-2015
# snip{
def levenshtein(x, y):
"""Levenshtein edit distance
:param x:
:param y: strings
:returns: distance
:complexity: `O(|x|*|y|)`
"""
n = len(x)
m = len(y)
# initialisation ligne 0 et colonne 0
A = [[i + j for j in range(m + 1)] for i in range(n + 1)]
for i in range(n):
for j in range(m):
A[i + 1][j + 1] = min(A[i][j + 1] + 1, # insertion
A[i + 1][j] + 1, # suppress.
A[i][j] + int(x[i] != y[j])) # substitut.
return A[n][m]
# snip}
|
# -*- coding: utf-8 -*-
{
'host' : 'code.google.com',
'user' : 'your-name-here@gmail.com',
'data_directory' : './source',
'input_name_format' : '{problem}-{input}-{id}.in',
'output_name_format' : '{problem}-{input}-{id}.out',
'source_names_format' : [],
}
|
class Node:
def __init__(self, val, left=None, right=None):
self.val = val
self.left= left
self.right = right
class BinaryTree:
def __init__(self):
self.root = None
def insert(self, val):
node = Node(val)
temp = self.root
if temp is None:
self.root = node
return
q = []
q.append(temp)
while len(q):
temp = q[0]
q.pop(0)
if not temp.left:
temp.left = node
break
else:
q.append(temp.left)
if not temp.right:
temp.right = node
break
else:
q.append(temp.right)
class Node(object):
def __init__(self, value, left=None, right=None):
self.value = value
self.left = left
self.right = right
class BinaryTree(object):
def __init__(self):
self.root = None
def insert(self, value):
temp = self.root
node = Node(value)
if temp is None:
self.root = node
return
q = []
q.append(temp)
while(len(q)):
temp = q[0]
q.pop(0)
if not temp.left:
temp.left = node
break
else:
q.append(temp.left)
if not temp.right:
temp.right = node
break
else:
q.append(temp.right)
def inorder(self, temp=None):
if temp is None:
return
self.inorder(temp.left)
print(temp.value, end=" ")
self.inorder(temp.right)
if __name__ == "__main__":
binarytree = BinaryTree()
binarytree.insert(4)
binarytree.insert(6)
binarytree.insert(44)
binarytree.insert(34)
print("In order before inserting : ", end=" ")
binarytree.inorder(binarytree.root)
print()
binarytree.insert(7)
print("In order after inserting :" , end=" ")
binarytree.inorder(binarytree.root)
"""
4
/ \
6 44
/ \
34 7(new value)
"""
|
"""
Module: 'umqtt.simple' on esp8266 v1.10
"""
# MCU: (sysname='esp8266', nodename='esp8266', release='2.2.0-dev(9422289)', version='v1.10-8-g8b7039d7d on 2019-01-26', machine='ESP module with ESP8266')
# Stubber: 1.1.0
robust = None
simple = None
|
#!/usr/bin/env python3
def beolvas(file):
pontszamok = []
with open(file, "rt") as f:
for sor in f:
try:
pontszamok.append(int(sor.rstrip("\n")))
except ValueError:
pass
return pontszamok
def main():
print(beolvas("7_kzh_pontszam_hibas.txt"))
main()
|
# Queries using DISTINCT, BETWEEN, IN, LIKE, IS NULL, ORDER BY, GROUP BY, HAVING
# (a) Display the number of departments. Each department should be displayed once.
# (b) Find the name and salary of those employees whose salary is between 35000 and 40000.
# (c) Find the name of those employees who live in guwahati, surat or jaipur city.
# (d) Display the name of those employees whose name starts with ‘M’.
# (e) List the name of employees not assigned to any department.
# (f) Display the list of employees in descending order of employee code.
# (g) Find the average salary at each department.
# (h) Find maximum salary of each department and display the name of that department
# which has maximum salary more than 39000.
'''
b.SELECT Emp_name, Salary FROM Employee WHERE Salary BETWEEN 35000 AND 40000;
c.SELECT Emp_name FROM Employee WHERE city = 'Guwahati' or city = 'Surat' or city = 'Jaipur';
d.SELECT Emp_name FROM Employee WHERE Emp_name LIKE 'M%';
e.SELECT Emp_name FROM Employee WHERE department IS NULL;
f.SELECT * FROM employees e ORDER BY e.emp_id ASC;
g.SELECT department, AVG(salary) FROM employees GROUP BY department;
h.
'''
|
# Copyright 2016 The Bazel Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Once recursive workspace is implemented in Bazel, this file should cease
# to exist.
"""
Provides functions to pull all Go external package dependencies of this
repository.
"""
load("@bazel_gazelle//:deps.bzl", "gazelle_dependencies", "go_repository")
load("@io_bazel_rules_go//go:deps.bzl", "go_register_toolchains", "go_rules_dependencies")
def go_deps():
"""Pull in external Go packages needed by Go binaries in this repo.
Pull in all dependencies needed to build the Go binaries in this
repository. This function assumes the repositories imported by the macro
'repositories' in //repositories:repositories.bzl have been imported
already.
"""
go_rules_dependencies()
go_register_toolchains()
gazelle_dependencies()
excludes = native.existing_rules().keys()
if "com_github_google_go_containerregistry" not in excludes:
go_repository(
name = "com_github_google_go_containerregistry",
commit = "221517453cf931400e6607315045445644122692",
importpath = "github.com/google/go-containerregistry",
)
if "com_github_pkg_errors" not in excludes:
go_repository(
name = "com_github_pkg_errors",
commit = "614d223910a179a466c1767a985424175c39b465", # v0.9.1
importpath = "github.com/pkg/errors",
)
if "in_gopkg_yaml_v2" not in excludes:
go_repository(
name = "in_gopkg_yaml_v2",
commit = "53403b58ad1b561927d19068c655246f2db79d48", # v2.2.8
importpath = "gopkg.in/yaml.v2",
)
if "com_github_kylelemons_godebug" not in excludes:
go_repository(
name = "com_github_kylelemons_godebug",
commit = "9ff306d4fbead574800b66369df5b6144732d58e", # v1.1.0
importpath = "github.com/kylelemons/godebug",
)
if "com_github_ghodss_yaml" not in excludes:
go_repository(
name = "com_github_ghodss_yaml",
importpath = "github.com/ghodss/yaml",
sum = "h1:wQHKEahhL6wmXdzwWG11gIVCkOv05bNOh+Rxn0yngAk=",
version = "v1.0.0",
)
|
#!/usr/bin/env python
__author__ = "Peter Maxwell"
__copyright__ = "Copyright 2007-2020, The Cogent Project"
__credits__ = ["Peter Maxwell", "Gavin Huttley"]
__license__ = "BSD-3"
__version__ = "2020.2.7a"
__maintainer__ = "Peter Maxwell"
__email__ = "pm67nz@gmail.com"
__status__ = "Production"
def PamlParser(f):
d = f.readline().split()
numseqs, seqlen = int(d[0]), int(d[1])
for i in range(numseqs):
seqname = f.readline().strip()
if not seqname:
raise ValueError("Sequence name missing")
currseq = []
length = 0
while length < seqlen:
seq_line = f.readline()
if not seq_line:
raise ValueError(
'Sequence "%s" is short: %s < %s' % (seqname, length, seqlen)
)
seq_line = seq_line.strip()
length += len(seq_line)
currseq.append(seq_line)
yield (seqname, "".join(currseq))
|
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