crunchy | Like cracklib | Dictionary library
kandi X-RAY | crunchy Summary
kandi X-RAY | crunchy Summary
[Go ReportCard] Finds common flaws in passwords. Like cracklib, but written in Go. Detects: - ErrEmpty: Empty passwords - ErrTooShort: Too short passwords - ErrNoDigits: Password does not contain any digits - ErrNoSymbols: Password does not contain any special characters - ErrTooFewChars: Too few different characters, like "aabbccdd" - ErrTooSystematic: Systematic passwords, like "abcdefgh" or "87654321" - ErrDictionary: Passwords from a dictionary / wordlist - ErrMangledDictionary: Mangled / reversed passwords, like "p@ssw0rd" or "drowssap" - ErrHashedDictionary: Hashed dictionary words, like "5f4dcc3b5aa765d61d8327deb882cf99" (the md5sum of "password") - ErrFoundHIBP: Optional hash checks against the haveibeenpwned.com database. Your system dictionaries from /usr/share/dict will be indexed. If no dictionaries were found, crunchy only relies on the regular sanity checks (ErrEmpty, ErrTooShort, ErrTooFewChars and ErrTooSystematic). On Ubuntu it is recommended to install the wordlists distributed with cracklib-runtime, on macOS you can install cracklib-words from brew. You could also install various other language dictionaries or wordlists, e.g. from skullsecurity.org. crunchy uses the WagnerFischer algorithm to find mangled passwords in your dictionaries.
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QUESTION
I have a database full of messages from various chatbots. The chatbots all follow decision tree format and ultimately are questions presented with choices to which the user responds.
The bot may send a message (Hello would you like A or B?) which has options attached, A and B for example. The user responds B. Both of these messages are recorded and the previous message id attached.
id message options previous_id 1 Hello would you like A or B? A,B 2 A 1The structure of these conversations is not fixed. There may be various forms of message flow. The above is a simplistic example of how the messages are chained together. For example
...ANSWER
Answered 2021-May-18 at 19:04You can use WIT HRECURSIVE
to achieve your goal. You just need to specify when to stop the recursion and find a way to select only those records, where the recursion did not produce any additional rows for.
Have a look here:
QUESTION
I have two dataframes in R:
...ANSWER
Answered 2021-Mar-23 at 17:28We can use the map
function:
QUESTION
I am in the process of developing a small script which allows me to retrieve the values of a dictionary if the condition is met.
if the condition is fulfilled I retrieve the key of the dictionary in the cell of my columns in my dataframe.
However, where I get stuck is that I can only retrieve one value from my dictionary while my initial values validate other conditions.
what i have :
Name shopping list cat_and_subcat tom apple , sirop , carotte Fruit - Apple nick chocolate, banana, apple minie Cake - Oreo julie juice Fruit - Lemonwhat i should have :
Name shopping list cat_and_subcat tom apple , sirop , carotte Fruit-Apple , Cake-Carote cake nick chocolate, banana, apple minie Cake - Oreo , Fruit - Apple julie juice Fruit - LemonHow do I get to return all the values of the conditions that are true in the same cell?
...ANSWER
Answered 2021-Feb-25 at 18:25match
tries to find a match only at the beginning of the string, while search
checks for a match anywhere in the string (this is what Perl does by default) in Python. In addition, your code returns instantly if it finds a match. You can modify your code as follows:
QUESTION
I have data something like below:
...ANSWER
Answered 2021-Feb-25 at 17:04You need to parse the XML and extract the text content of the tag. That text content is essentially the content of a CSV file. According to the sample XML in your question, I'm assuming that you want to skip the first line and split each of the remaining lines into individual values. The following code demonstrates how to do this. Note that I copied the XML data from your question to a file which I named response.xml.
QUESTION
Given the following list:
...ANSWER
Answered 2021-Feb-14 at 08:49I think you can do something like:
QUESTION
I have a dataset containing purchases made by different households across different retailers. For eg
Using dput()
ANSWER
Answered 2020-Nov-29 at 11:06On second thought, I think things can be much easier if we introduce a function like this
QUESTION
Given the following data structure I am trying to count the number of answers to question type messages
- questions are identified by either a non null
node
oroptions
column - answers are identified by non null
previous
Ideally I'm hoping to return
...ANSWER
Answered 2020-Oct-30 at 14:13The ::
operator has a higher precedence than the ->
operator, so you need to use parentheses there. You also need to get the ID as text, not as JSONB as there is no direct cast from jsonb to uuid:
QUESTION
I'm creating a picker in which a food product is selected from the array productList
of type Product
and I'm trying to create text boxes that output every variable stored in whichever product was selected. However, although the code is successfully built, the picker won't allow the user to make a selection. How can I fix this?
This is my code:
...ANSWER
Answered 2020-Oct-24 at 04:09Type of selection should be same as type of Picker data block id or tag, so if you want selected index, then it should be like
QUESTION
I have used conditional rendering in the past but for some reason, it's working on one element here but not on another although they are both using the same JSON phrasing and the same type of conditional rendering?
JSON array
//Adobe component data
...ANSWER
Answered 2020-Sep-21 at 09:21Conditional rendering works by casting the condition to a truthy value. For example:
QUESTION
I work on a delivery man application and I need to have from an API the details of an order received on the account of a delivery man.
here is an example:
...ANSWER
Answered 2020-Sep-11 at 11:09Did you try this?
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