ORGANIC | Code repo for optimizing distributions of molecules | Dataset library
kandi X-RAY | ORGANIC Summary
kandi X-RAY | ORGANIC Summary
ORGANIC (Objective-Reinforced Generative Adversarial Network for Inverse-design Chemistry) is an efficient molecular generation tool, able to create molecules with desired properties. It has a user-oriented interface, and doesn't require a HPC cluster. Feel free to check our article about ORGANIC and/or contact the developers if you have any issue or are interested in collaborations. This implementation is authored by Carlos Outeiral (carlos@outeiral.net), Benjamin Sanchez-Lengeling (beangoben@gmail.com), Gabriel Guimaraes (gabrielguimaraes@college.harvard.edu) and Alan Aspuru-Guzik (alan@aspuru.com), affiliated to Harvard University, Department of Chemistry and Chemical Biology, at the time of release.
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QUESTION
The following data has the surprising result that it does not match. I was expecting the distance to be 5, but even at 7 I get no match
ANSWER
Answered 2022-Apr-14 at 13:52The problem comes down to the method you are using to calculate the string distance. You are using the lcs (longest common substring) method, which in effect only allows deletions and insertions rather than substitutions. From the docs:
The longest common substring (method='lcs') is defined as the longest string that can be obtained by pairing characters from a and b while keeping the order of characters intact. The lcs-distance is defined as the number of unpaired characters. The distance is equivalent to the edit distance allowing only deletions and insertions, each with weight one.
So when we convert spaces to underscores, we incur a weighting of 2 per substitution:
QUESTION
I'm very new in Unity and Stackowerflow. If i did something wrong, please don't judge me ^^ I used Unity's TPS Controller asset for my game. In first, it worked very well. But then It broke. But i didn't do anything :( (i don't even touch scripts or prefabs). After that, i deleted asset and re-download it but it didnt work again. Here is one example from my broken scene and these are the codes from my controller. Thanks For Any Kind of Help.
Starter Assets Input ...ANSWER
Answered 2022-Apr-08 at 23:22I had the same problem too. I researched a lot of documents about that and finally, I solved this problem. The problem is not about your codes or events or smth else. The problem is related to Unity. I don't know the exact reason for the problem but you can solve it this way: First, go Edit > Project Settings and select Input System Package from the Left tab. And then, change the Update Method with Process Events In Dynamic Update. And that's all! Dynamic update means the usual Update method that you see in the scripts void Update().
ImagesQUESTION
I recently tried getting organic metrics for a tweet using postman. My trial on postman was successful, I used Oauth 1.0 for authorization. And from this example I extracted the python syntax for the API request.
The following is the sample code:
...ANSWER
Answered 2022-Mar-15 at 01:29To work with user context on twitter API use requests_oauthlib class.
You can find a simple implementation below in python:
QUESTION
How to display products from specific tag "organic" in shopify custom template? Here is my code.
...ANSWER
Answered 2021-Aug-03 at 13:11it will help in displaying the specific product title , Please also check the API documentation here
QUESTION
I would like to add a suffix to strings in one column when a condition is met in another column. If a value is present in "Market" column, "Symbol" column corresponding value is updated to include current ticker but I would like to add a suffix to it representing its market place. I guess I could create multiple masks and change multiple values with multiple lines of codes for each value but I was wondering if there exist a more elegant way of doing this in one operation.
This is what I tried :
conditions = [ (df['Market'].str.contains("Oslo")), (df['Market'].str.contains("Paris")), (df['Market'].str.contains("Amsterdam")), (df['Market'].str.contains("Brussels")), (df['Market'].str.contains("Dublin")) ] values = [str+'.OL', str+'.PA', str+'.AS', str+'.BR', str+'.IR'] df['Symbol'] = np.select(conditions, values) print(df)
I get an error :
unsupported operand type(s) for +: 'type' and 'str'
any help welcome
added after KingOtto's answer...
the data frame :
ANSWER
Answered 2022-Feb-16 at 12:25You need to proceed in 3 steps
You need to define an exhaustive suffix_list - a dictionary that holds information only once for each market
suffix_list = pd.DataFrame({'Market': ['Oslo', 'Paris'], 'suffix':['OL','PA']})You want to merge the
suffix_listinto your existing dataframe as a new column - one command for all markets (for each market that has a suffix in the list, you add that suffix):pd.merge(df, suffix_list, how='left', on='Market')Now that you have the 2 columns
'value'and'suffix'next to each other for all rows, you can apply 1 single operation for all rowsstr('value')+'suffix'
QUESTION
I have a .csv file that I am reading with the csv package. The file has the following layout:
...ANSWER
Answered 2022-Feb-22 at 20:58As was discussed in the comments, your soure file is not CSV. I see it more like a "label" where a record is some number of lines that has:
- a clear start (Item number)
- a clear end (first empty line after Item number)
- data in between
You need a little state machine: it's just a for-loop that reads every line and makes decisions, "this is the start of a record", "this is the end of a record", "this must be data inside a record".
The following state machine makes use of the continue statement to short-circuit the loop and the decision-making process. This control structure allows the machine to avoid redundant logic, like "if I'm in a record and the line looks like a certain kind of data, then...".
Instead, past a certain point in the for-loop, the machine knows it can only be in a record and the decisions that follow are purely about data, "this line looks like a certain kind of data and I'll act on it accordingly".
The decision making process looks like the following, For every line:
check if line is the start of the record; set state "in record", skip to next line
or check if state is not "in record"; skip to next line
or check if line is the end of the record; unset state "in record", do something useful with the accumulated record data, skip to next line
or find 'Item definition' line; ignore it, skip to next line
finally (logically), "in record" and the line is data you care about; parse it
As you probably noticed, it has a strong bias towards skipping to the next line once it knows what kind of line it's on. This isn't a necessary feature of a state machine, but I like it because it avoids a lot of if-statements, and especially nesting or compounding of if-statements:
QUESTION
My goal here is to have the childless nodes contain hyperlinks. This is the D3 plugin I'm basing things off of: https://github.com/deltoss/d3-mitch-tree Image Example
I'm newer to JS and JSON so I'm having difficulties on figuring out how to proceed, especially since there's little to refer to in regard to hyperlinks & JSON. If there's a better way to go about this, I'm certainly open to new ideas.
Thank you in advance
...ANSWER
Answered 2021-Nov-22 at 09:06Chain this method before .initialize():
QUESTION
I am new to React, I dont really know how React hook works, here I encounter a problem. I tried to draw a chart using Chart.js and re draw it in specific interval using data from API, the problem is the chart does not read the data. This is the get data function:
...ANSWER
Answered 2021-Dec-13 at 06:07Your html file in the part where you are going to draw the chart should look something like this:
QUESTION
I have a table like:
event_id date event_name key value 1 '2021-01-01' 'session_start' 'session_id' '12345' 1 '2021-01-01' 'session_start' 'network' 'organic' 1 '2021-01-01' 'session_start' 'screen_id' '22' 1 '2021-01-01' 'session_start' 'any_var' 'True' 2 '2021-01-02' 'app_deleted' 'session_id' '23456' 2 '2021-01-02' 'app_deleted' 'network' 'organic' 2 '2021-01-02' 'app_deleted' 'screen_id' '33'I would like to turn it into a table with more columns and reduce the number of rows, so that the 'key' values become columns, and 'value' - the values of these columns, setting NULL where the values will be empty. There will be ~ 100 columns in total.
event_id date event_name session_id network screen_id any_var 1 '2021-01-01' 'session_start' '12345' 'organic' '22' 'True' 1 '2021-01-02' 'app_deleted' '23456' 'organic' '33' NULLThanks!
P.S. I can’t bring the solution with array to mind on my own
P.P.S Unfortunately the keys can be different and they differ from month to month
...ANSWER
Answered 2021-Dec-07 at 18:04SELECT
event_id,
date,
event_name,
anyIf(toNullable(value), key = 'session_id') AS session_id,
anyIf(toNullable(value), key = 'network') AS network,
anyIf(toNullable(value), key = 'screen_id') AS screen_id,
anyIf(toNullable(value), key = 'any_var') AS any_var
FROM b
GROUP BY
event_id,
date,
event_name;
┌─event_id─┬───────date─┬─event_name────┬─session_id─┬─network─┬─screen_id─┬─any_var─┐
│ 1 │ 2021-01-01 │ session_start │ 12345 │ organic │ 22 │ True │
│ 2 │ 2021-01-02 │ app_deleted │ 23456 │ organic │ 33 │ ᴺᵁᴸᴸ │
└──────────┴────────────┴───────────────┴────────────┴─────────┴───────────┴─────────┘
create table b (event_id int, date date, event_name String, key String, value String) Engine=Memory;
insert into b values
(1 ,'2021-01-01','session_start','session_id','12345')
(1,'2021-01-01','session_start','network','organic')
(1,'2021-01-01','session_start','screen_id','22')
(1,'2021-01-01','session_start','any_var','True')
(2,'2021-01-02','app_deleted','session_id','23456')
(2,'2021-01-02','app_deleted','network','organic')
(2,'2021-01-02','app_deleted','screen_id','33')
QUESTION
I want to remove duplicated rows that has same visitor_id based on the earlier datetime. For example, for visitor_id 2643331144, I want to pick row 1 as it has the earlier visit date time, and also keep channel and visit_page for the same row. And for visitor_id 1092581226, I want to keep row 3.
rowno visitor_id datetime channel visit_page 1 2643331144 10/3/2021 4:05:29 PM email landing page 2 2643331144 10/3/2021 4:05:39 PM organic search landing page 3 1092581226 10/7/2021 1:08:12 PM email price reduced 4 1092581226 10/7/2021 1:08:44 PM organic search landing page 5 1092581226 10/7/2021 1:09:04 PM paid search unknow 6 1092581226 10/7/2021 1:09:05 PM email price reducedAnd I want a result look like below:
rowno visitor_id datetime channel visit_page 1 2643331144 10/3/2021 4:05:29 PM email landing page 2 1092581226 10/7/2021 1:08:12 PM email price reducedI used below query but the total visitor number is over-deduped. But without using partition, total number will be double counted as same visitor has multiple channels and pages during same session.
...ANSWER
Answered 2021-Oct-31 at 21:58If the only problem is rownum in final output you can "recount" it with row_number() over (order by datetime asc) as rownum in final select:
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