tft | terraform targeted applies made easy , aka making | Security Testing library
kandi X-RAY | tft Summary
kandi X-RAY | tft Summary
terraform targeted applies made easy, aka making it easy to do dumb stuff. using globs in -target is an open issue on terraform and it is not getting a ton of love (probably because it promotes bad behaviour), but sometimes i need to be bad.
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Top functions reviewed by kandi - BETA
- The terraform pattern
- unique returns a new slice of strings without duplicates .
- stripResource removes resource from a string
- cleanCountResource removes the count resource
tft Key Features
tft Examples and Code Snippets
# This will include all aws_s3_bucket_policy resources
$ terraform plan | tft -pattern="*aws_s3_bucket_policy*" -mode=include
# This will include all aws_s3_bucket_policy resources in module something
$ terraform plan | tft -pattern="module.somethi
$ terraform apply -target=*aws_s3_bucket_policy*
# OR
$ terrform apply -not-target=*aws_s3_bucket_policy*
Community Discussions
Trending Discussions on tft
QUESTION
I am writing a basic menu system for a TTGO-T to be able to select between different functions,
I am trying to pass a multidimensional(2D) array of strings to a function(drawMenu & updateMenu).
Ex: drawMenu(TFT_GREEN, 4, options);
The array is defined at compile time. It works if I specify which array inside the function
Example:
ANSWER
Answered 2022-Mar-25 at 21:36The array-to-pointer conversion that occurs when an array is passed to a function only applies to the outermost array dimension. In your case, this means that a char [4][25]
decays into a char (*)[25]
, not a char **
, so the parameter types are not compatible.
Change the declaration of the function parameter(s) from char **Arr
to char Arr[][25]
.
QUESTION
Sometimes we need to preprocess the data by feeding them through preprocessing layers. This becomes problematic when your model is an autoencoder, in which case the input is both the x and the y.
Correct me if I'm wrong, and perhaps there's other ways around this, but it seems obvious to me that if the true input is, say, [1,2,3]
, and I scale this to 0 and 1: [0,0.5,1]
, then the model should be evaluating the autoencoder based on x=[0,0.5,1]
and y=[0,0.5,1]
rather than x=[1,2,3]
. So if my model is, for example:
ANSWER
Answered 2022-Mar-25 at 09:10You simply have to modify your loss function in order to minimize the difference between predictions and scaled inputs.
This can be done using model.add_loss.
Considering a dummy reconstruction task, where we have to reconstruct this data:
QUESTION
I'm struggling to work with different tensor types and operations between them. For example, a basic division tf.divide(a, b)
is giving me the following error:
ANSWER
Answered 2022-Mar-20 at 21:31It is a difficult question, in fact.
For element-wise division in particular, let say ai and bi are scalars. if ai = 0 and bi is not zero, then ai/bi = 0, but what if ai = 0 and bi = 0, ai/bi = ? 0?
Even worse, if ai is not zero and bi = 0 then ai/bi is NaN!
So if the divisor is a sparse tensor, it will raise (possibly lots of) NaNs, unless the indices of both sparse matrices are the same. Same problem if you divide a dense matrix by a sparse matrix.
There is a nice a workaround to multiply two sparse tensors element-wise here, based on the relation (a+b)^2 = a^2 + b^2 + 2 ab.
It is also possible to compute the inverse of a sparse tensor C: tf.SparseTensor(indices=C.indices, values=1/C.values, dense_shape=C.dense_shape)
.
So there is this NaN issue for division, and concerning the mixture of dense tensor and sparse tensor, one option consists in converting the sparse tensor to a dense tensor. But we want to avoid this. In the other direction, from converting the dense tensor to a sparse tensor, this can be very ineffective if the tensor is not really sparse.
All this to say that it does not seem to be a simple problem.
QUESTION
just started on VB, hope you can help me.
I'm doing a project about a game called TFT, where each item is made with two components. My project consists of 9 buttons, and by pressing two of them (could be the same one), I want to be able to get the specific item (as a msgbox).
Don't know if there's a better way to do it but I'm open to suggestions!
...ANSWER
Answered 2022-Feb-08 at 23:21Here's an example that changes the "Check" button to Green when Button3 is selected, followed by Button7 being selected, otherwise it changes the "Check" button to Red.
The buttons are arranged in a standard keypad grid:
QUESTION
I am attempting to execute a C function from within a C++ file in the Arduino framework. The function I am trying to run, GuiLib_ShowScreen
, appears in GuiLib.h
and GuiLib.c
as follows (the files are massive so for convenience and relevance sake I included only definitions):
ANSWER
Answered 2022-Jan-19 at 18:04After trying suggestions from the comments, this cleared out the error. I included the library outside the scope after extern "C"
and changed the parameters of GuiLib_ShowScreen()
to their native types, defined in the library as #define GuiConst_INT16U unsigned short
. There was a compatibility issue placing the include statement within the scope, and because my original error stated previous declaration with 'C++' linkage
it seems apparent that the include statement was interpreted automatically as a C++ header instead of C.
QUESTION
Question: How can I improve either my method ("expand_traits" posted below) or the data structure I am trying to use? I estimate the runtime of my solution to be a few hours, which seems like I went very wrong somewhere (considering it takes ~ 10 minutes to collect all of the data, and possibly a few hours to transform it into something I can analyze).
I have collected some data that is essentially a Pandas DataFrame, where some columns in the table are a list of lists (technically formatted as strings, so when I evaluate them I am using ast.literal_eval(column) - if that's relevant).
To explain the context a bit:
The data contains historical stats from League of Legends TFT game mode. I am aiming to perform some analysis on it in terms of being able to group by each item in the list, and see how they perform on average. I can only really think of doing this in terms of tables - something like df.groupby(by='Trait').mean() to get the average win-rate for each trait, but am open to other ideas.
Here is an example of the dataset:
Rank Summoner Traits Units 1 name1 ['7 Innovator', '1 Transformer', '3 Enchanter', '2 Socialite', '2 Clockwork', '2 Scholar', '2 Scrap'] ['Ezreal', 'Singed', 'Zilean', 'Taric', 'Heimerdinger', 'Janna', 'Orianna', 'Seraphine', 'Jayce'] 2 name2 ['1 Cuddly', '1 Glutton', '5 Mercenary', '4 Bruiser', '6 Chemtech', '2 Scholar', '1 Socialite', '2 Twinshot'] ['Illaoi', 'Gangplank', 'MissFortune', 'Lissandra', 'Zac', 'Urgot', 'DrMundo', 'TahmKench', 'Yuumi', 'Viktor']The total records in the table is approximately 40,000 (doesn't sound like much) but my original idea was to basically "unpivot" the nested lists into their own record.
My idea looks a little something like:
Summoner Trait Record_ID name1 7 Innovator id_1 name1 1 Transformer id_1 ... ... ... name2 1 Cuddly id_2 name2 1 Glutton id_2Due to the number of items in each list, this transformation will turn my ~40,000 records into a few hundred thousand.
Another thing to note is that because this transformation would be unique to each column that contains lists, I would need to perform it separately (as far as I know) on each column. Here is the current code I am using to do this to the "Traits" column, which takes my computer around 35 mins to complete (also pretty average PC - nothing crazy but equivalent to intel i5 & 16 gigs of RAM.
...ANSWER
Answered 2021-Dec-20 at 20:17Use explode
:
QUESTION
I am trying to get an RFID-Reader (PN532) to work with a display, so it is shown there, who has scanned his RFID-Card. The problem I ran into was, that 2 pins (D7 HMOSI) and (D5 HSLCK) are used by both devices. Thus I simply put both connections on those. (wrong?)
Now when initializing either of both devices, the other one gets disabled.
I use Adafruit to initialize both devices.
In addition to this, the ESP8266 does not start when the RFID-Reader is connected. Removing the Pin from 3.3Volt VCC and waiting for init, then Adding the Pin, only then the RFID-Reader gets recognized and the ESP8266 runs. (bad case for crashes, as it would never reboot)
This is my cable setup:
Also here is my code:
...ANSWER
Answered 2021-Dec-12 at 20:27The constructor
QUESTION
I'm implementing a sample application on SeeedStudio's Wio Terminal with LVGL. I followed the LVGL's porting tutorial and came up with the following:
...ANSWER
Answered 2021-Nov-13 at 22:36Arduino Studio IDE has a flaw regarding compilation: only files in src
subfolder of the sketch gets copied to the tmp folder and compiled. So all non-standard libraries should be placed in src
subfolder in sketch folder.
QUESTION
This one is a little tricky, because the AD9850 does not have a CS pin.. the TFT displays do. So sharing the pins (except CS of course) between the displays seems straight-forward, but how can we use the AD9850 at the same time: Do we need to use separate pins for AD9850 with bit-banging, or is it possible to share all three devices on the same pins somehow?
...ANSWER
Answered 2021-Oct-24 at 10:49Note that the AD9850 does not really have an SPI interface, but the timing of the serial interface does seem to be compatible, so you may be able to use an SPI master to write to the AD9850. However, another pin (FQ_UD) is required to update the data.
The main problem is, as you already suggested, that it does not have a chip select (CS) input. This means that all data on the serial interface will be clocked by the AD9850. The behavior for parallel mode is clearly documented in the datasheet:
In the parallel load mode, the register is loaded via an 8-bit bus; the full 40-bit word requires five iterations of the 8-bit word. The W_CLK and FQ_UD signals are used to address and load the registers. The rising edge of FQ_UD loads the (up to) 40-bit control data-word into the device and resets the address pointer to the first register. Subsequent W_CLK rising edges load the 8-bit data on words [7:0] and move the pointer to the next register. After five loads, W_CLK edges are ignored until either a reset or an FQ_UD rising edge resets the address pointer to the first register.
According to my interpretation, this means that if you would write 10 bytes to it, the first 5 bytes are stored (and will be "activated" using the FQ_UD
signal), and the last 5 bytes are ignored. This is problematic in your use case.
For serial mode, the exact behavior is slightly less documented, but it seems to be approximately the same:
In serial load mode, subsequent rising edges of W_CLK shift the 1-bit data on Pin 25 (D7) through the 40 bits of programming information. After 40 bits are shifted through, an FQ_UD pulse is required to update the output frequency (or phase).
So what can you do?
The best solution would be to use a dedicated interface for the AD9850. This would require 3 pins and give you full control over all devices. I highly recommend this if you have the possibility to do this (that is, if you have control over the hardware and enough free pins available).
If you only need to write to the AD9850 during startup, you could probably make it work by first configuring the AD9850 (with the chip selects for the TFT displays disabled) and then configuring the displays (while never toggling FQ_UD, so the configuration of the AD9850 will not be updated anymore). This depends on your specific use case and I doubt it will be the case.
I also was wondering if you could "flush" invalid data input to the AD9850 by toggling FQ_UD and then immediately writing the correct configuration afterwards. However, this seems dangerous because there are certain control codes that may brick the device:
There are specific control codes, used for factory test purposes, that render the AD9850 temporarily inoperable. The user must take deliberate precaution to avoid inputting the codes listed in Table II. If you can guarantee there will be no invalid codes and you can accept invalid configurations for a short time, this is something you could consider, but I think it's asking for troubles.
NB: My first advice would be to do some tests with the AD9850 to confirm if my interpretation of the datasheet is correct. It's quite common for serial interfaces to be implemented with a shift register, in which case only the last 40 bits will be used (instead of the first 40 bits). IMHO, the datasheet does not explicitly confirm or deny this. If it does use the last 40 bits, it would be quite trivial to share the pins.
QUESTION
I'm building a tfx pipeline based on the cifar10 example : [https://github.com/tensorflow/tfx/tree/master/tfx/examples/cifar10]
The difference is that I don't want to convert it to tf_lite model and instead use a regular keras based tensorflow model.
Everything works as expected until I get to the Evaluator component as it fails with the following error:
...ANSWER
Answered 2021-Oct-20 at 02:20Ok I found the answer. Because the model is expecting the input_1
name, then in _get_serve_image_fn
, I need to create the dictionary key, such as:
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