acc | Advanced Charging Controller
kandi X-RAY | acc Summary
kandi X-RAY | acc Summary
ACC is an Android software mainly intended for extending battery service life. In a nutshell, this is achieved through limiting charging current, temperature, and voltage. Any root solution is supported. Regardless of whether the system is rooted with Magisk, the installation is always "systemless".
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of acc
acc Key Features
acc Examples and Code Snippets
def accuracy(labels,
predictions,
weights=None,
metrics_collections=None,
updates_collections=None,
name=None):
"""Calculates how often `predictions` matches `labels`.
The `accurac
def run_with_all_saved_model_formats(
test_or_class=None,
exclude_formats=None):
"""Execute the decorated test with all Keras saved model formats).
This decorator is intended to be applied either to individual test methods in
a `keras_
def AddForwardAccumulator(self, value, dead_branch=False):
"""Add an accumulator for each forward tensor that is needed in backprop.
This is added to the forward loop at the first time when a tensor
in the forward loop is used by backpro
Community Discussions
Trending Discussions on acc
QUESTION
I have a large text from which heading strings have been extracted using regex. The headings start with from 1-6 hashtags (#). Here is an example of the input array:
...ANSWER
Answered 2022-Apr-03 at 07:34With a reduce
based approach one can keep tracing/managing the correct (nested) chapters
arrays where one needs to push a new chapter item into.
Thus the accumulator can be an object which in addition to the result
array features an index/map for the to be traced nested level chapters
arrays.
The to be reduced heading
string gets decomposed into its '#'
(hash) based flag
and its text content
part. This is done with the help of following regex ... /^(?#+)\s*(?.*?)\s*$/
... which features named capturing groups. The amount of hashes (flag.length
) indicates the current nested level.
QUESTION
Im attempting to find model performance metrics (F1 score, accuracy, recall) following this guide https://machinelearningmastery.com/how-to-calculate-precision-recall-f1-and-more-for-deep-learning-models/
This exact code was working a few months ago but now returning all sorts of errors, very confusing since i havent changed one character of this code. Maybe a package update has changed things?
I fit the sequential model with model.fit, then used model.evaluate to find test accuracy. Now i am attempting to use model.predict_classes to make class predictions (model is a multi-class classifier). Code shown below:
...ANSWER
Answered 2021-Aug-19 at 03:49This function were removed in TensorFlow version 2.6. According to the keras in rstudio reference
update to
QUESTION
ANSWER
Answered 2022-Mar-13 at 07:29After we are done replacing items in data
, whichever items remain with property id
are not replaced, hence they are not in anotherObj
.
So we can find them and remove them like this:
QUESTION
When I go to the finder and select "Examples" then I can't figure out how to find a method that turns #( $H $e $l $l $o ).
into 'Hello'
. Nor does MethodFinder new findMethodsByExampleInput: #( $H $e $l $l $o ) andExpectedResult: 'Hello'.
work.
know how to do it(*), but I want to know how to utilize the Finder.
I guess the Finder simply can't find it? Am I missing something?
(*) For example, one way to do it i: String newFrom: #( $H $e $l $l $o ).
. Another way would be: #($H $e $l $l $o) inject: '' into: [ :acc :el | acc, (el asString) ].
(though I would not expect the second way to be found by the Finder)
ANSWER
Answered 2022-Mar-12 at 01:18It can't find it.
Note however that there isn't a method that sent to #($H $e $l $l $o)
would answer with 'Hello'
. What there exists is a method that sent to String
with argument #($H $e $l $l $o)
will answer 'Hello'
. So, the proper way to using MethodFinder
in this case would have been
QUESTION
I have the following Pandas Dataframe:
...ANSWER
Answered 2022-Jan-30 at 16:59Something like this?
QUESTION
I have a vector of vector like the following.
...ANSWER
Answered 2022-Jan-21 at 18:29The first argument of fold
must be the same type as its output. Therefore your suggestion of passing & m[0]
, which has type & Vec
, won't work, since you want the fold to return Vec
(notice value vs borrowed value). And using m[0]
(without borrowing) won't work because you would be trying to move from a vector that is later used (in the iteration itself).
One option could be to start with m[0].clone()
as the initial value. That does involve a cloning, obviously, but you need to allocate your output somehow anyway, so you can't do better. This works:
QUESTION
I want to turn this halting, discontinuous trails in the particle on this simulation
to something worth staring at as in this beautiful field flow in here (not my work, but I don't remember where I got it from).
I have tried different permutations of the code in the accomplished field flow without getting anything remotely close to the smoothness in the transitions that I was aiming for. I suspect I am mishandling the updates or the placement of the black rectangle that seems to circumvent the need for a black background, which would erase the wake of the particles.
...ANSWER
Answered 2022-Jan-11 at 17:55You can get trials in multiple ways. The sketch you mentioned creates the trails by adding opacity to the background with the "fill( 0, 10 )" function.
If you want to know more about p5 functions you can always look them up here: https://p5js.org/reference/. The fill() page shows that the first argument is the color ( 0 for black ) and the second argument is the opacity ( 10 out of 255 ).
In the sketch you mentioned, in draw(), they wrote:
QUESTION
I got half-way through what I wanted in the representation of physics vector fields in 2D with p5js here. The other half is to get random particles to dynamically follow the forces of the vector field, and I am having a lot of problems with it. I have tried multiple things to take into account the wrap-around of the particles, as well as the fact that I am translating the origin of the plot to the center of the canvas. However, the particles seem minimally affected by the individual vectors in the field, and ultimately march along the x axis with slight bumpiness.
The fact that I am completely new at JS doesn't help splice all these elements from several presentations available online, and I would appreciate any advise as to what may be going wrong, and where I should focus on.
Here is what I have so far: a file sketch.js
corresponding to my own answer quoted above:
ANSWER
Answered 2022-Jan-09 at 22:38I found the mixing of coordinate systems very confusing in your code. I think it is better to have the particles and the flow field vectors both exist in the same coordinate system, here is an example:
QUESTION
From an iterable, I'd like to generate an iterable of its prefixes (including the original iterable itself).
...ANSWER
Answered 2022-Jan-05 at 00:16This isn't fully fleshed-out, and it's also a bit dorky:
QUESTION
Here's a 'compose' function which I need to improve:
...ANSWER
Answered 2021-Dec-12 at 16:36compose
does
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install acc
All commands/actions require root.
Install/upgrade: flash* the zip or use a front-end app. There are two additional ways of upgrading: acc --upgrade (online) and acc --flash (zip flasher). Rebooting after installation/removal is generally unnecessary.
[Optional] run acc (wizard). That's the only command you need to remember.
[Optional] run acc pause_capacity resume_capacity (default 75 70) to set the battery levels at which charging should pause and resume, respectively.
If you come across any issues, refer to the troubleshooting, tips and FAQ sections below. Read as much as you can prior to reporting issues and/or asking questions. Oftentimes, solutions/answers will be right before your eyes.
Download and extract the source code: git clone https://github.com/VR-25/acc.git or wget https://github.com/VR-25/acc/archive/master.tar.gz -O - | tar -xz or curl -L# https://github.com/VR-25/acc/archive/master.tar.gz | tar -xz. sh build.sh (or double-click build.bat on Windows 10, if you have Windows subsystem for Linux (with zip) installed). build.sh automatically sets/corrects id=* in *.sh and update-binary files. Refer to framework-details.txt for a full list of tasks carried out by it. To skip generating archives, run the build script with a random argument (e.g. bash build.sh h). The output files are (in _builds/acc-$versionCode/): acc-$versionCode.zip, acc-$versionCode.tar.gz, and install-tarball.sh. To update the local source code, run git pull --force or re-download it (with wget/curl) as described above.
Download and extract the source code: git clone https://github.com/VR-25/acc.git or wget https://github.com/VR-25/acc/archive/master.tar.gz -O - | tar -xz or curl -L# https://github.com/VR-25/acc/archive/master.tar.gz | tar -xz
cd acc*
sh build.sh (or double-click build.bat on Windows 10, if you have Windows subsystem for Linux (with zip) installed)
build.sh automatically sets/corrects id=* in *.sh and update-binary files. Refer to framework-details.txt for a full list of tasks carried out by it. To skip generating archives, run the build script with a random argument (e.g. bash build.sh h).
The output files are (in _builds/acc-$versionCode/): acc-$versionCode.zip, acc-$versionCode.tar.gz, and install-tarball.sh.
To update the local source code, run git pull --force or re-download it (with wget/curl) as described above.
[export installDir=<parent install dir>] sh install.sh installs acc from the extracted source. sh install-online.sh [-c|--changelog] [-f|--force] [-k|--insecure] [-n|--non-interactive] [%parent install dir%] [commit] downloads and installs acc from GitHub - e.g., sh install-online.sh dev. The order of arguments doesn't matter. For upgrades, if %parent install dir% is not supplied, the original/current is used. sh install-tarball.sh [module id, default: acc] [parent install dir (e.g., /data/data/mattecarra.accapp/files)] installs the tarball (acc*gz) from the script's location. The archive must be in the same directory as this script - and obtained from GitHub: https://github.com/VR-25/acc/archive/$commit.tar.gz ($commit examples: master, dev, v2020.5.20-rc). install-online.sh is the acc --upgrade back-end. The default parent installation directories, in order of priority, are: /data/data/mattecarra.accapp/files/ (ACC App, but only if Magisk is not installed), /data/adb/modules/ (Magisk) and /data/adb/ (other root solutions). No argument/option is strictly mandatory. The exception is --non-interactive for front-end apps. The --force option to install-online.sh is meant for re-installation and downgrading. sh install-online.sh --changelog --non-interactive prints the version code (integer) and changelog URL (string) when an update is available. In interactive mode, it also asks the user whether they want to download and install the update.
[export installDir=<parent install dir>] sh install.sh installs acc from the extracted source.
sh install-online.sh [-c|--changelog] [-f|--force] [-k|--insecure] [-n|--non-interactive] [%parent install dir%] [commit] downloads and installs acc from GitHub - e.g., sh install-online.sh dev. The order of arguments doesn't matter. For upgrades, if %parent install dir% is not supplied, the original/current is used.
sh install-tarball.sh [module id, default: acc] [parent install dir (e.g., /data/data/mattecarra.accapp/files)] installs the tarball (acc*gz) from the script's location. The archive must be in the same directory as this script - and obtained from GitHub: https://github.com/VR-25/acc/archive/$commit.tar.gz ($commit examples: master, dev, v2020.5.20-rc).
install-online.sh is the acc --upgrade back-end.
The default parent installation directories, in order of priority, are: /data/data/mattecarra.accapp/files/ (ACC App, but only if Magisk is not installed), /data/adb/modules/ (Magisk) and /data/adb/ (other root solutions).
No argument/option is strictly mandatory. The exception is --non-interactive for front-end apps.
The --force option to install-online.sh is meant for re-installation and downgrading.
sh install-online.sh --changelog --non-interactive prints the version code (integer) and changelog URL (string) when an update is available. In interactive mode, it also asks the user whether they want to download and install the update.
You may also want to read Terminal Commands > Exit Codes below.
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