garage | monitor garage door opener using a Raspberry Pi Zero
kandi X-RAY | garage Summary
kandi X-RAY | garage Summary
Control and monitor garage door opener using a Raspberry Pi Zero-W. Input Pins | name |Phy|BCM| | light on| 21| 9| | motor up| 23| 11| | motor down| 31| 6| | open limit| 10| 15| | close limit| 37| 26| | door button| 35| 19| |light button| 22| 25| | lock switch| 29| 5|. Output pins | name |Phy|BCM| | door button| 3| 2| | lock switch| 5| 3| | light button| 13| 27| | light relay| 16| 23| | LED D3 (orange)| 7| 4| | LED D4 (red)| 11| 17|.
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QUESTION
Currently I'm using Woocommerce Short_Description in Details Order answer code to show the product excerpt on WooCommerce checkout page:
...ANSWER
Answered 2022-Mar-13 at 11:45To display the short product description you can use:
QUESTION
In Jetpack Compose, when using Text
, we can center text using TextAlign
:
ANSWER
Answered 2022-Jan-26 at 10:17You can define the textAlign
in the style
parameter:
QUESTION
Please see the following minimal reproducible example.
...ANSWER
Answered 2022-Jan-15 at 18:38You could try this:
QUESTION
I have a Node.js Google cloud function which I now try to modularize into two js modules. It works fine locally on my machine but when trying to deploy to Google I get the following error:
ERROR: (gcloud.functions.deploy) OperationError: code=3, message=Build failed: npm ERR! @babel/cli not accessible from data-model
My main-function
is using my data-model
module via the following entry in package.json:
ANSWER
Answered 2022-Jan-11 at 15:37I finally managed to solve this, got a bit side-tracked by the babel/cli error message that CloudFunction threw.
The issue was that my data-model module was in another directory:
"data-model": "file:../../data-model",
I put it inside the main-function instead:
"data-model": "file:data-model",
and it works just fine to deploy to cloud functions.
Why it is so I have no clue but it is kind of documented in the Google Cloud Docs too:
The code for this local module should be stored somewhere other than the node_modules folder within your function's root directory.
QUESTION
$sql = DB::table('laravel_products')
->insert(array(
'name' => $name,
'price' => $price,
'qty' => $qty,
'description' => $description,
'uruu' => $uruu,
'garage' => $garage,
'duureg' => $duureg,
'tagt' => $tagt,
'talbai' => $talbai,
'haalga' => $haalga,
'tsonh' => $tsonh,
'shal' => $shal,
'tsonhtoo' => $ttsonh,
'hdawhar' => $bdawhar,
'lizing' => $lizing,
'utas' => $utas,
'email' => $email,
'hereg' => $hereg,
'bairshil' => $bairshil,
'bairlal' => $bairlal,
'ashig' => $ashigon,
'zahi' => $zahi,
'image' => $data
));
$lastInsertedID = $sql->lastInsertId();
...ANSWER
Answered 2021-Dec-12 at 04:30If you want to get the last inserted ID like that you can call that method on the PDO
instance directly:
QUESTION
I don't know a lot of mysql and have an error in my sql script. Currently running mysql 8.0.24. Does anyone know what might be the problem?
Error: https://prnt.sc/226xk5x
Sql:
...ANSWER
Answered 2021-Dec-07 at 18:43Your CHECK constraint does not reference the column. Or any column, actually. By using single-quotes, you're using a string literal, not a column name.
QUESTION
#include
using namespace std;
class car{
string owner;
string car_num;
string issue_date;
car(string o, string cn, string id)
{
owner = o;
car_num = cn;
issue_date = id;
}
void getInfo()
{
cout << "Car's Owner's Name : " << owner << endl;
cout << "Cars' Number : " << car_num << endl;
cout << "Car's Issue Date : " << issue_date << endl;
}
};
int main()
{
int n;
cout << "Enter total number of cars stored in your garage : \n";
cin >> n;
car c1[n]; //incomplete code due to the issue
return 0;
}
...ANSWER
Answered 2021-Dec-02 at 15:21Use pointer array instead.e.g.
QUESTION
I have a DataFrame that contains some (text-) cleaned ads in one column and some very basic description of the same ads in one other column. I also have term frequencies stored in a dictionary in 'keyword':frequency format.
Task would be to purge all terms from the list in the df
that falls below a certain cutpoint level of frequency.
ANSWER
Answered 2021-Nov-12 at 20:53IIUC, try:
- use
explode
to split the list to individual rows groupby
andtransform
to get the count of the keyword in the dataframe and keep only rows where the "count" is greater than the cutoffgroupby
andagg
to get the original DataFrame structure.
QUESTION
I have an example project and need to search for strings using the stringr
package. In the example, to eliminate other case spellings I started with str_to_lower(example$remarks)
, which made the remarks all lower case. The remarks column describes residential properties.
I need to search for the word "shop". However, the word "shopping" is also in the remarks column and I don't want that word.
Some observations: a) Have only the word "shop"; b) Have only the word "shopping"; c) Have neither the words "shop" or "shopping"; d) Have BOTH the words "shop" & "shopping".
When using str_detect()
, I want it to give me a TRUE
for detecting the word "shop", but I DO NOT want it to give me a TRUE
for detecting the string "shop" within the word "shopping". Currently, if I run str_detect(example$remarks, "shop")
I get a TRUE
for both the words "shop" and "shopping". Effectively, I ONLY want a TRUE
for the 4-character string "shop" and if the characters "shop" appear but have any other characters after it like shop(ping), I want the code to exclude detecting it and not identifying it as TRUE
.
Also, if the remarks contain BOTH the words "shop" and "shopping", I would like the result to be TRUE
only for detecting "shop" but not "shopping".
Ultimately, I'm hoping one line of code using str_detect()
can give me the result of:
- If the remarks observation has only the word "shop" =
TRUE
- If the remarks observation has only the word "shopping" =
FALSE
- If the remarks observation has neither the words "shop" or "shopping" =
FALSE
- If the remarks observation has both the words "shop" AND "shopping" =
TRUE
for detecting ONLY the 4-character string "shop" and it DOES not output aTRUE
because of the word "shopping".
I need all of the observations to remain in the dataset and cannot exclude them because I need to create a new column, which I have labeled shop_YN
, that give a "Yes" for observations with only the 4-character string "shop". Once I have the correct str_detect()
code, I plan to wrap the results in a mutate()
and if_else()
function as follows (except I don't know what to code to use inside str_detect()
to get the results I need):
shop_YN <- example %>% mutate(shop_YN = if_else(str_detect(example$remarks, ), "Yes", "No"))
Here is a sample of the data using the dput()
:
ANSWER
Answered 2021-Oct-29 at 21:29You are probably looking for a word boundary here (\\b
). Wrap the desired pattern between two word boundaries to match just the word, but not parts of longer words.
QUESTION
I am trying to scrape multiple pages from multiple URLS efficiently. I have been able to scrape multiple pages from one URL successfully, but unable to implement this for multiple URLs. Any and help would be greatly appreciated. Thank you.
Current Loop Code:
...ANSWER
Answered 2021-Oct-26 at 06:22You can combine for loops
with Python's range()
function.
The range()
function provides a sequence of integers based upon the function's arguments.
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