Griffith | film collection manager , released under the GNU/GPL License | Computer Vision library
kandi X-RAY | Griffith Summary
kandi X-RAY | Griffith Summary
Griffith is a film collection manager, released under the GNU/GPL License. Please see the file COPYING for licensing and warranty information. The latest version of this software is available at the following URL:
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Top functions reviewed by kandi - BETA
- Run export
- Generate the query to export
- Return the value of the value
- Select the treeview
- Populate the movie list
- Set a movie
- Add a movie
- Fetch movie icon
- Fetches the first result list of search results
- Searches the given dialog
- Update treeview
- Set loaned movie flag
- Scans the given path to find extensions
- Send email
- Gets the script s script
- Process languages
- Process the tags query
- Extract the cast
- Get the cameraman tag
- Process subtitle query
- Called when the result is selected
- Get director
- Get the o title
- Populate the AudioFormat attribute
- Runs export
- Populate the filter
Griffith Key Features
Griffith Examples and Code Snippets
Lines of Code : 5License : Strong Copyleft (GPL-2.0)
CopyCREATE DATABASE griffith
EXEC sp_addlogin @loginame='griffith', @passwd='gRiFiTh', @defdb='griffith'
GO
USE griffith
EXEC sp_changedbowner @loginame='griffith'
CREATE DATABASE `griffith` DEFAULT CHARACTER SET utf8 COLLATE utf8_general_ci;
CREATE USER 'griffith'@'localhost' IDENTIFIED BY 'gRiFiTh';
CREATE USER 'griffith'@'%' IDENTIFIED BY 'gRiFiTh';
GRANT ALL ON `griffith` . * TO 'griffith'@'localhost';
GRAN CREATE USER griffith UNENCRYPTED PASSWORD 'gRiFiTh' NOCREATEDB NOCREATEUSER;
CREATE DATABASE griffith WITH OWNER = griffith ENCODING = 'UNICODE';
GRANT ALL ON DATABASE griffith TO griffith;
Community Discussions
Trending Discussions on Griffith
QUESTION
Given a small dataset df as follows:
ANSWER
Answered 2021-Sep-23 at 07:35Try using modulus which is % in pandas. It returns the remainder value after division. For your use case, you want to return the rows of id divided by 100 and its remainder is 0.
QUESTION
I have a dataframe that begins like this:
...ANSWER
Answered 2021-Jul-23 at 18:49We could use rleid from data.table on the 'unique_id' column to generate distinct ids when the adjacent values are not similar, then grouped by 'unique_id', change the 'new' column to create sequential values using match, create a sequence column with row_number() to account for duplicate elements before doing the pivot_wider to reshape into 'wide'
QUESTION
in the following example the Warner Bros. Pictures id is the lowest , so I want to output the name of Warner Bros. Pictures
ANSWER
Answered 2021-Jul-18 at 17:32JSONObject jsonObj = new JSONObject(jsonStr);
JSONArray c = jsonObj.getJSONArray("production_companies");
Set set = new HashSet<>();
// Extract and Find minimum id
for (int i = 0 ; i < c.length(); i++) {
JSONObject obj = c.getJSONObject(i);
int id = obj.getString("id");
set.add(id);
}
int minId = Collections.min(list);
// TODO get corresponsind name for minId
QUESTION
I am trying to use to do a regex extract with Pandas by using the value from another column as a variable.
df = pd.DataFrame({'text': ["The final is one of the most famous snooker matches of all time and pa", "Davis trailed for the first time at the event in the quarter-finals, as he played Terry Griffiths. "],'key': ["snooker", 'quarter-finals']})
I was thinking of building a string as a parameter and passing it to the function like so
reg = '((?:\S+\s+){0,10}\b'+'snooker'+'\b\s*(?:\S+\b\s*){0,10})'
df['text'].str.extract(r'reg')
but it generates this error
ValueError: pattern contains no capture groups
which I am assuming is due to the syntax of "(r'reg')"
ANSWER
Answered 2021-Apr-27 at 17:29There are a couple of issues here:
- Word boundaries are set with literal
\b(r"\b"), not with a backspace char ("\b"), - You cannot place variables into a regular, normal string literal, you need to use
format()or f-strings - You also need a capturing group in the pattern.
You can use
QUESTION
I need to implement the following (on the backend): a user types a query and gets back hits as well as statistics for the hits. Below is a simplified example.
Suppose the query is Grif, then the user gets back (random words just for example)
- Griffith
- Griffin
- Grif
- Grift
- Griffins
And frequency + number of documents a certain term occurs in, for example:
- Griffith (freq 10, 3 docs)
- Griffin (freq 17, 9 docs)
- Grif (freq 6, 3 docs)
- Grift (freq 9, 5 docs)
- Griffins (freq 11, 4 docs)
I'm relatively new to Elasticsearch, so I'm not sure where to start to implement something like this. What type of query is the most suitable for this? What can I use to get that kind of statistics? Any other advice will be appreciated too.
...ANSWER
Answered 2021-Mar-20 at 11:23There are multiple layers to this. You'd need:
- n-gram / partial / search-as-you-type matching
- a way to group the matched keywords by their original form
- a mechanism to reversely look up the document & term frequencies.
- You could start off with a special, n-gram-powered analyzer, as explained in my other answer. There's the original
contentfield, plus a multi-field mapping for the said analyzer, plus akeywordfield to aggregate on down the line:
QUESTION
My exam answers key and my answer (and answers of online tools) are different for the typical "Determine highest normal form of relation" question and I want to know why.
Exam question: For the given relation R with schema H = {A, B, C, D, E} and functional dependencies F = {{B, C} -> {D, E}, {C, D} -> {B, E}, {D} -> {C}, {E} -> {B}}. Determine the highest normal form of R. Assume it's in the 1NF.
My answer:
I already have 1NF. Next I check 2NF.
To do that, I need candidate keys. "A" is not in any dependency, so it has to be in the key. I can also add "D", and from {D} -> {C} I have {A, C, D}. Then from {C, D} -> {B, E} I have all {A, B, C, D, E}, so the {A, D} is indeed a candidate key. I can do the same for {A, B, C} and {A, C, E}, so I have candidate keys: {A, D}, {A, B, C}, {A, C, E}.
2NF requires that "no non-prime attribute can be functionally dependent on any proper subset of any candidate key; a non-prime attribute is not a part of any candidate key of the relation". But I have {B, C} -> {D, E}, so E (a non-prime attribute) depends on {B, C} (a proper subset of {A, B, C}), so it's not in 2NF. Therefore it's only in 1NF.
The exam answer:
The relation is in the 3NF. Also this handy tool which checks normal form tells me it's 3NF.
My question:
Is this in 1NF or 3NF? My only doubt is for {B, C} -> {D, E} dependency. As I've written above, E is non-prime, but {D, E} as the whole contains 1 prime and 1 non-prime attribute. Do I make some mistake here?
...ANSWER
Answered 2021-Feb-02 at 20:49Assuming F a cover of the functional dependences of R, you are correct assuming that the candidate keys are AD, ABC and ACE. So all the attributes are primes, no dependency can violate the 3NF, the relation is in 3NF, and for this reason it is also in 2NF.
QUESTION
I have a sample data:
...ANSWER
Answered 2020-Dec-25 at 20:33If you set autodetect_column_names to true then the filter interprets the first line that it sees as the column names. If pipeline.workers is set to more than one then it is a race to see which thread sets the column names first. Since different workers are processing different lines this means it may not use the first line. You must set pipeline.workers to 1.
In addition to that, the java execution engine (enabled by default) does not always preserve the order of events. There is a setting pipeline.ordered in logstash.yml that controls that. In 7.9 that keeps event order iff pipeline.workers is set to 1.
You do not say which version you are running. For anything from 7.0 (when java_execution became the default) to 7.6 the fix is to disable the java engine using either pipeline.java_execution: false in logstash.yml or --java_execution false on the command line. For any 7.x release from 7.7 onwards, make sure pipeline.ordered is set to auto or true (auto is the default in 7.x). In future releases (8.x perhaps) pipeline.ordered will default to false.
QUESTION
Good afternoon! I am new to JAVA and JSON. I'm using Jackson. The program does the following from the incoming JSON file:
- Gives out a list of people between the ages of 20 and 30;
- Unique list of cities;
- The number of people with an age interval of 0-10, 11-20, 21-30, etc. The program consists of two classes
Main.java
...ANSWER
Answered 2020-Oct-08 at 18:25You can write the obtained output to HashMap and that hashMap can be written to a file using ObjectMapper like this.
QUESTION
While I was working on a project with a colleague of mine, that involved using the package dplyr from tidyverse to manipulate a data frame, I've noticed that some of our results ware different even though we ware using the same code and the same data.
Session infos from both R sessions:
Desktop:
...ANSWER
Answered 2020-Jul-16 at 19:29You're using sample, which is using a discrete uniform distribution.
In R's PR#17494 (and associated mailing-list thread), a problem with non-uniform sampling was discussed and fixed. This went into effect in R-3.6.
This can be demonstrated simply:
R-3.5.3-64bit (win10)
QUESTION
When I run this program it gives me an error in the text and I don't know why, I have tried to run it also from a file and it also gives me an error, how can it work?
...ANSWER
Answered 2020-May-07 at 05:38The problem with your first code snippet is that the text you're passing as a parameter to the HTTP call is too long, if you print the response object you'll see:
that corresponds to 414 URI Too Long Reference
If you pass a smaller text, dbpedia-spotlight will be able to annotate the entities for you.
For the second code that you put, you have two problems, the first one is that dbpedia-spotlight may respond with 403 status after consecutive calls to the annotate service, to check that I suggest you to do:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Griffith
You can use Griffith like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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