tilapia | Phishing ca n't get any easier with Tilapia | Crawler library
kandi X-RAY | tilapia Summary
kandi X-RAY | tilapia Summary
Phishing can't get any easier with Tilapia
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Start menu
- Show current session data
- Show all logged users
- Show title
tilapia Key Features
tilapia Examples and Code Snippets
Community Discussions
Trending Discussions on tilapia
QUESTION
I have around 70 categories (it can be 20 or 30 also) and I want to be able to parallelize the process using ray but I get an error:
...ANSWER
Answered 2021-Feb-18 at 01:31This error is happening because of sending large objects to redis. merged_df
is a large dataframe and since you are calling get_meal_category
10 times, Ray will attempt to serialize merged_df
10 times. Instead if you put merged_df
into the Ray object store just once, and then pass along a reference to the object, this should work.
EDIT: Since the classifier is also large, do something similar for that as well.
Can you try something like this:
QUESTION
So I have a data frame like this, with names of species present in three countries, with some NAs in countries where a certain species does not exist:
...ANSWER
Answered 2020-Dec-02 at 22:03Here, is an option with is.na
. Loop over the columns of the dataset with lapply
, create a logical vector with is.na
, convert it to numeric index, replace the values with a vector of strings and bind them into the transmute
ed 'Species_name' column created with coalesce
QUESTION
So I have a data frame with species names and grades from A-E attributed to each, and sometimes there are occurences of the same species with different grades, but I want the following: if a species has even one occurence with grade X then all other occurences of that species must be grade X as well. This is my data frame:
...ANSWER
Answered 2020-Mar-04 at 16:52Here's how I would approach this using data.table
package. I think if changing to dplyr
the stages would be similar, just written differently
QUESTION
i am trying to do Aggregation Binding with data from nested Arrays in my JSON Model: here is my "Menus.json" Model:
...ANSWER
Answered 2020-Mar-02 at 13:08Your json model should be something like:
QUESTION
So I have a data frame with several occurences of different species and a "new_name" empty column that I want to fill with mutate/ifelse. Basically I want the new_name to be filled according to these conditions: if the status is unaccepter I want the new_name to be the value of "valid_name" and if the status is accepted or NA I want the new_name to take the value of "species". This is an example of how my data frame is structured: ´´´
example of the data frame ...ANSWER
Answered 2019-Dec-02 at 18:16If we use ==
, make sure to also add is.na
to return TRUE/FALSE, otherwise, the NAs remain as NA
QUESTION
I posted this question earlier but left a lot of information out regarding my HTML code so I will update it here.
Right now I have two different functions that calculate the total costs of two different sections on the menu, the Appetizers & Main Dishes. Now what I am trying to do is create a third function that will give me a grand total of both the Appetizers & Main Dishes costs.
I want to trigger this calculation using a submit button and then have the value be displayed through an input text.
Here is what I have tried:
...ANSWER
Answered 2019-Nov-15 at 18:08What you are trying to achieve sounds fairly straightforward, but there are a couple of problems with your code. Your input fields for appetizer and mains are returning strings, including the $
symbol. I would move the $
outside of your input field, and only have numbers in your input fields - you would still need to convert the numbers from strings using js
Number()
.
Then when it comes to calculating the total, call the GrandTotal()
on submit click event, and have something like the following in your code:
QUESTION
Today I need to create an integration test for public API consumer and check if the records which I found matches the query param.
For example, I am sending a GET request like
ANSWER
Answered 2019-Aug-26 at 14:08The problem is that you are checking if any element of the result is equal to grilled
. What I think you need to check is if every element of the result contains grilled ignoring case.
Using the library Hamcrest (I think you are already using it) you can do it in the following way:
QUESTION
I have a data frame like this:
...ANSWER
Answered 2019-Jun-10 at 15:13Assuming the input DF
shown reproducibly in the Note at the end, use the indicated regular expression to grep
for species
with two (or more) words. If it must be exactly two words use ^\\S+ \\S+$
instead. No packages are used.
QUESTION
So I have two dataframes, the first one is like this, with the name of different species of marine fish (the same species are repeated throughout the dataframe with a total of 74610 entries), their respective BIN (sort of a serial number that is assigned to a species based on a clustering algorithm), and an empty column (grade) that I want to fill based on conditions from the second dataframe:
dataframe1 ...ANSWER
Answered 2019-Jun-02 at 17:37welcome
Please check out if this works, and look into the dput() function.
QUESTION
I have a dataframe like this with the names of marine fish species in one of the column and their respective BIN in another column (which is a sort of ID for each species). Sometimes a single BIN number can correspond to more than one species and I want to check which species correspond to a single BIN and which ones have more than one BIN for each single species in each row. I'm sorry if I'm being confusing but I'm very lost in how I can do this. Thank you in advance for any suggestion
...ANSWER
Answered 2019-Jun-01 at 17:35With dplyr
, you can do (I used sample data with a species having two BINs):
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install tilapia
cd tilapia
sudo ./setup.sh
sudo apt-get install python3-pip
sudo pip3 install -r requirements.txt
sudo ./tilapia.py Make sure PHP is in your path. You can test this by running php --version
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page