Why would you restrict these characters within a password? [duplicate]

A website restricts these characters from passwords: # * ( ) %

At a casual glance, it looks like they’re not sanitizing data input to the database or hashing passwords, but I’m a hobbyist.

Should I contact the IT maintainer? This is a new site that was just launched to replace an old one within my industry.

If email can replace SMS/MMS, why using these is “imposed” on phone/smartphone users

In the last two years I am in a process of web application usage minimalism;
I have generally completely stopped using any web application for general communication besides my email account. For example, generally I won’t use:

  • Facebook, or any product of Facebook, inc (I have no Facebook account for two years now).
  • VoIP applications such as Line, Kik, Viber, Tango, Telegram and so forth.

I generally use just email, phone and SMS respectively;
Generally, so far, this made me feel happier and gave me lots of time for other activities.

I am not against using “old school” communications such as pneumatic tube, Fax, and SMS or MMS and I use SMS myself about once in two days.

I think Pneumatic tube and Fax, for example, are great concrete technologies for transferring secret messages in closed organizations.

My problem

As I am not an IS expert, I have a trouble to understand why, since the releasing of the world wide web to the general public in 1993 (Email was existing from the 60’s and 70’s but only between government institutions and universities), are SMS/MMS still needed, at least as a standard “imposed” on all phone/smartphone machine users in this planet.

I think I will not be the only “minimalist” to ask a question about this.

My question

If email can replace SMS/MMS, why using these is “imposed” on phone/smartphone users?

I emphasize that I have nothing against SMS/MSS and as clued, I myself use them often but just wonder I why must do so, although a “minimalist” as described (I would ask if there is a way to bypass that need but as of 2020 I don’t think it is possible with any telephony-oriented devices).

Is there a term for these “descendancy” subgraphs of directed acyclic graphs?

Consider a directed acyclic graph $ G$ with vertex set $ V$ . Choose a vertex $ v$ , and let $ H$ be the subgraph containing $ v$ and all other vertices in $ G$ that are reachable from $ v$ (along with the associated directed edges).

(In other words, if we choose $ v \in V$ , then we are interested in the subset consisting of $ v$ and all of its descendants).

Is there an accepted term for this particular subset of vertices (or the subgraph)? It seems to be a fairly elementary concept so I expected to find a commonly used phrase for this, but my search is coming up empty so far. Thanks for any answers or leads!

Which of these URL is better for SEO? [duplicate]

I am trying to restructure our website that is focus on Healthcare and could you please help me which of these two decisions for URL is better for SEO ? we present best providers for any healthcare procedures in each city and country. here is an example of rhinoplasty procedure in turkey:

www.mywebsite.com/en/rhinoplasty/turkey

www.mywebsite.com/en/rhinoplasty/rhinoplasty-turkey

1-is it necessary to write exact focus keyword in last folder of URL? In this example, rhinoplasty is our pillar page, so it has so many cluster contents that link back to it, such as this procedures in each countries, …

2-Is it necessary to put our main pillar pages in top level of URL? can we locate all pillar pages related to cosmetic surgeries inside cosmetic-surgery folder?

Pillarpage: www.mywebsite.com/en/cosmetic-surgery/rhinoplasty

www.mywebsite.com/en/cosmetic-surgery/rhinoplasty-turkey

What kind of smoothing was applied to these bigrams probabilities?

A certain program computes bigrams probabilities applying a smoothing factor of K=1 given the corpus 12 1 13 12 15 234 2526. It does the following operations; first computes an “unnormalized bigrams”:

{'12': {'1': 2.0, '15': 2.0}, '1': {'13': 2.0}, '13': {'12': 2.0}, '15': {'234': 2.0}, '234': {'2526': 2.0}}. All of those 2.0 values are from doing k+1.

Then shows the “normalized bigrams”:

{'12': {'1': 0.2, '15': 0.2}, '1': {'13': 0.25}, '13': {'12': 0.25}, '15': {'234': 0.25}, '234': {'2526': 0.25}}.
The operations are:

P(1|12)=2/(2+2+6)=0.2
P(15|12)=2/(2+2+6)=0.2
P(13|1)=2/(2+6)=0.25
P(12|13)=2/(2+6)=0.25
P(234|15)=2/(2+6)=0.25
P(2526|234)=2/(2+6)=0.25

I don’t know the logic behind these operations, Laplace smoothing would be for example, given P(1|12)=1/2, smoothed; (1+1)/(2+6)=0.25 then, shouldn’t be 0.25 instead of 0.2?
This is the stripped down code from the original one:

from __future__ import print_function from __future__ import division import re class LanguageModel:     "unigram/bigram LM, add-k smoothing"     def __init__(self, corpus):          words=re.findall('[0123456789]+', corpus)         uniqueWords=list(set(words)) # make unique         self.numWords=len(words)         self.numUniqueWords=len(uniqueWords)         self.addK=1.0          # create unigrams         self.unigrams={}         for w in words:             w=w.lower()             if w not in self.unigrams:                 self.unigrams[w]=0             self.unigrams[w]+=1/self.numWords          # create unnormalized bigrams         bigrams={}         for i in range(len(words)-1):             w1=words[i].lower()             w2=words[i+1].lower()             if w1 not in bigrams:                 bigrams[w1]={}             if w2 not in bigrams[w1]:                 bigrams[w1][w2]=self.addK # add-K             bigrams[w1][w2]+=1          #normalize bigrams          for w1 in bigrams.keys():             # sum up             probSum=self.numUniqueWords*self.addK # add-K smoothing             for w2 in bigrams[w1].keys():                 probSum+=bigrams[w1][w2]             # and divide             for w2 in bigrams[w1].keys():                 bigrams[w1][w2]/=probSum         self.bigrams=bigrams         print('Unigrams : ')              print(self.unigrams)         print('Bigrams : ')         print(self.bigrams)         if __name__=='__main__':      LanguageModel('12 1 13 12 15 234 2526') 

What does these errors mean for Azure SQL Database?

Yesterday my app could connect to my Azure SQL Database. Today, it is having problems. The app logs this error whenever it tries to connect:

A connection was successfully established with the server, but then an error occurred during the login process. (provider: SSL Provider, error: 0 – The received certificate has expired.) The received certificate has expired.

I tried to connect through SQL Server Management Studio (which usually works) and got a different error:

Database ‘master’ on server ‘myserver’ is not currently available. Please retry the connection later. If the problem persists. Contact customer support, and provide them the session tracing ID of ‘{}’. (Microsoft SQL Server, Error: 40613)

I followed the instructions and contacted Microsoft Support (currently waiting for a response).

I found others having the same problem. This PowerBI user got the same error and solved the problem by modifying their reports to not require encryption. I tried unchecking the “encrypt connection” option in SSMS but the error remained.

enter image description here

This ConfigMgr user solved the error by generating a new certificate in SQL Server Configuration Manager. I’m using Azure SQL Database, so I don’t have that tool available.

What am I doing wrong?

Which of these devices might slow down processor?

I have test question.

Which devices inside processor are used to speed up work indirectly i.e. program isn’t executing a code for that device?

Possible answers: DRAM | Cache | Pipeline | GPU | RAM | ARM | Stack | FPU

I think we can immediately say, that DRAM, GPU, & RAM is wrong picks, because they are not inside cpu – they are different parts of computer. Also stack is inside RAM, not CPU. So left answers are cache, pipeline, arm & fpu? Also not sure about floating point number.

How rare would these homebrew magic items be?


Gravitonic tome

Can pay a spell’s cost to learn how to convert half its damage into gavity damage, which cannot be resisted

Voidsteel blade

versatile, (2d8/2d10)+str+dex damage. spells that must be cast through the blade deal one dice larger of damage, and superiority dice are one size larger

Articulated spell gauntlet

+1 AC, all spells that cost more than 1 sorcery point to cast cost 1 less

Floating fortress armor

Med armor, 16+dex AC (max 3), half physical damage, weakness to fire

Cloth-lined Chainmail cape

Immune to being flanked, extra physical damage from sneak attacks and critical hits from behind is halved

Which of these builds is best optimized for damage? [closed]

I have never played dnd 5e, but I would like to. To prepare for the future, I would like to build a character. Start with human variant (dual-wielder feat) and take 2 weapon fighting.

Which of these builds is best optimized for damage?

rouge 1/ fighter 1/ arcane trickster 3/rune master 5/ arcane trickster 15

rouge 1/ fighter 1/ arcane trickster 3/battle master 5/ arcane trickster 15

rouge 1/ ranger 2/ arcane trickster 3/ gloom stalker 5/ arcane trickster 15

rouge 1/ ranger 2/ arcane trickster 3/ beast master 5/ arcane trickster 13

No home rules.