fuzz | Interactively select Ruby objects with rofi dmenu | Menu library
kandi X-RAY | fuzz Summary
kandi X-RAY | fuzz Summary
I often write scripts in which a user needs to choose one of a number of possibilities: maybe they need to select a directory, or a file, or an action, or just an arbitrary object. rofi and dmenu are really cool tools for that! They provide a visual way for a user to use fuzzy searching to choose among a selection of strings. pick, peco, and selecta provide similar services on the command line. Unfortunately, though, these tools do just choose between strings. But my scripts would often be a lot simpler if the user were able to select arbitrary Ruby objects. Fuzz manages the translation between lists of strings that can be selected through these visual pickers and the associated collection of Ruby objects, which makes it a bit easier to write interactive and OOP-friendly Ruby scripts.
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Top functions reviewed by kandi - BETA
- Randomly picker by name
- Create a new item
- Raises an error if the command is not available
- Loads cache file
- Read file in cache
- Writes headers to the cache
- Takes a command and returns an array of options .
- Update the title .
- Checks if command exists
- Displays a list of the user .
fuzz Key Features
fuzz Examples and Code Snippets
Community Discussions
Trending Discussions on fuzz
QUESTION
So let me explain, I want to fuzz a closed source application named Y
that implements a custom protocol let's name the protocol X
. Y
is written in C.
Is there a way to patch the send/read
family functions to read from file instead of the socket?
Could this potentially work for the AFL/AFL++ fuzzer?
Keep in mind the application is developed for UNIX-like ecosystems.
ANSWER
Answered 2021-Jun-07 at 22:23Yes, you can do that easily by making bridges between named pipes (fifos) and TCP connections through netcat.
Create two files (named pipes):
QUESTION
Looking to find the percentage difference between two dataframes. I have tried using fuzzywuzzy but not getting the expected output for the same.
Suppose i have 2 dataframes with 4 columns each, i want to find the match percentage between these 2 dataframes.
Befor execution of the code found dtypes = float64, So i have changed the dtypes = object While Executing the code i am getting Error TypeError: object of type 'float' has no len()
df1
...ANSWER
Answered 2021-May-30 at 21:56Stack
both the dataframes concat
them and apply
fuzz
(axis = 1). Then to restructure use unstack
and finally take the mean
(axis = 1).
QUESTION
I've this image:
Its background (and only) color is "#687a40" but want to change it for the color "#9ea09a" (a light grey).
I've tried with this command...:
...ANSWER
Answered 2021-May-29 at 22:14Your image has an alpha channel, so you need:
QUESTION
Looking to map highest matching row values from Dataframe2 to Dataframe1 using conditions. We also need to check df1['sal_date'] between df2['from'] and df['to'] .
Want to compare each row(df1['id_number']) from df1 with the whole column(df2['identity_No']) of df2. I have applied using partial match for extracting the condition and its working,
But how i can check if df1['sal_date'] falls which of the df2['from'] and df['to'] .
df1
...ANSWER
Answered 2021-May-25 at 17:14Your code has two main flaws:
- Going by your description of the problem (below), whether or not
df1['sal_date']
is betweendte_from
anddte_to
is the necessary condition and thus should be checked first. The second step is returning the highest possible match. Since you want to force 1:1 mapping, the match being>=80
doesn't matter, you simply return the highest one.
Looking to map highest matching row values from Dataframe2 to Dataframe1 using conditions. We also need to check df1['sal_date'] between df2['from'] and df['to'].
- Your code doesn't really return the row from
df2
with the highest match percentage over 80%, but it returns the last one. Every time the conditionvariable>=80
is met, the current current row indf1
is overwritten.
also, the name for column 1 in df2
is inconsistent; in df2
it's called OR_score
with lowercase s
but in the code it's called OR_Score
with capital S
.
I changed your code a little bit. I added highest_match
, which keeps track of what the variable
of the highest match was and only overwrites if the new match's variable
is higher than the highest match. This resets for each row if df1
.
I dont use >=
thus it keeps the first match if variable
is equal. If you want to keep your >=80
condition, you can initialize highest_match = 80
, however this code want warn you if for one row of df1
no match >=80
is found and the row thus just stays as it was.
The code also only proceeds, if the date condition is met first.
QUESTION
I have to execute an script within a function where 2 dataframes are being used.
When working separately it works well but i am not getting how to use the function where we have to deal with 2 dataframes.
Need Suggestion
...ANSWER
Answered 2021-May-17 at 07:14To answer your question, I used the process
module from fuzzywuzzy
package.
QUESTION
I am trying to cycle through the values of a column in pandas and change all similar values so they are harmonised. I have first extracted the column as a list and want to loop through for each row, replace the similar value when found with the value which is similar, then place the list back into dataframe replacing the column. so for example a column like:
...ANSWER
Answered 2021-May-16 at 04:43Your code makes no sense.
First: using x =...
you can't change value on list brands
. You need brands[index] = ...
Second: it needs nested for
-loop to compare x
with all other words in brands
QUESTION
I would like to test/fuzz my program, aba.py, which in several places asks for user input via the input() function. I have a file, test.txt, with the sample user inputs (1,000+) with each input on a new line. I wish to run the program with these inputs passed to the aba.py and record the response i.e. what it prints out and if an error is raised. I started to solve this with:
os.system("aba.py < test.txt")
This is only a half solution as it runs until an error is encountered and doesn't record the response in a separate file. What would be the best solution to this problem? Thank you for your help.
...ANSWER
Answered 2021-Apr-30 at 21:48you can do it this way:
QUESTION
I have a Silenium script set up on a loop to fuzz input fields on an webapp. Occasionally, some of the divs fail to load in which causes the script to fail because it can't find the div. I would like to just close the entire browser and just start the next loop iteration with a new driver.get(url)
. Since the original driver is still connected to the first browser window, I tried adding driver.quit(url)
to the beginning of my script like below but for some reason when I run it, it just opens the browser first and then closes it afterwards. Is there a reason why driver.get(url)
is executing before driver.quit(url)
?
ANSWER
Answered 2021-Apr-16 at 06:24The problem is that in the first iteration when you trying to driver.quit(url)
before you opened it by driver.get(url)
it just does nothing while from the second iteration and so on it quits the previously opened page and opens again after the time.sleep(5)
QUESTION
Problem
In my quite short script I have the problem that it sometimes reports that the filename or extension is too long. Depending on the $image
and $size
values in my script this error may occur or not.
E.g. the script below produces this error with the image from here - saved and converted to "example3.png".
I do use Version: ImageMagick 7.0.10-62 Q16 x64 on windows and I don't know what to do with the error message... Any ideas what the problem is here?
Powershell script
...ANSWER
Answered 2021-Apr-15 at 12:51I am not sure what's going on with powershell
but if the issue is the length of the command-line, you can supply the sparse colour from a file like this:
QUESTION
Looking out to find the highest accuracy percentage between 2 column values by using Fuzzy string matching.
I have 2 dataframes where i am trying to use fuzzy match between an specific columns values from both the dataframes.
Lets say df1 has 5 rows and df2 has 4 rows, i want to pick the values of each row of df1 and match with every row of df2 and find the highest accuracy. Suppose Row1 from df1 has been compared with all the rows from df2 so whichever the row from df2 has highest accuracy we will consider it as output. same to be considered for each row from df1.
Input Data :
Dataframe1
...ANSWER
Answered 2021-Apr-11 at 21:02You can cross-join df1.id_number
with df2.identity_no
and compute each pair's fuzz.ratio()
(not partial ratio), then map()
the max scores back to df1
:
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