tesla | wrapper around the API to easily query | REST library

 by   jsgoecke Go Version: Current License: MIT

kandi X-RAY | tesla Summary

kandi X-RAY | tesla Summary

tesla is a Go library typically used in Web Services, REST applications. tesla has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This library provides a wrapper around the API to easily query and command the a Tesla Model S remotely in Go.
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            kandi-support Support

              tesla has a low active ecosystem.
              It has 297 star(s) with 60 fork(s). There are 29 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 8 open issues and 15 have been closed. On average issues are closed in 46 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of tesla is current.

            kandi-Quality Quality

              tesla has 0 bugs and 0 code smells.

            kandi-Security Security

              tesla has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              tesla code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              tesla is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              tesla releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.
              It has 1343 lines of code, 58 functions and 11 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            tesla Key Features

            No Key Features are available at this moment for tesla.

            tesla Examples and Code Snippets

            Matrix multiplication op .
            pythondot img1Lines of Code : 235dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def sparse_tensor_dense_matmul(sp_a,
                                           b,
                                           adjoint_a=False,
                                           adjoint_b=False,
                                           name=None):
              # pylint: disable=line-too-long
              """M  
            Calculate the field of a cylinder .
            pythondot img2Lines of Code : 65dot img2License : Non-SPDX
            copy iconCopy
            def B_field(r, n, r0, R):
                """
                returns the magnetic field from an arbitrary current loop calculated from
                eqns (1) and (2) in Phys Rev A Vol. 35, N 4, pp. 1535-1546; 1987.
            
                Parameters
                ----------
                    n is normal vector to the pla  
            Get GPU type .
            pythondot img3Lines of Code : 36dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def get_gpu_type():
              """Retrieves GPU type.
            
              Returns:
                String that is the name of the detected NVIDIA GPU.
                  e.g. 'Tesla K80'
            
                'unknown' will be returned if detected GPU type is an unknown name.
                  Unknown name refers to any GPU name  

            Community Discussions

            QUESTION

            Replace NA's in R with the current rollapply value
            Asked 2022-Mar-12 at 16:10

            I have a 10 year dataset from Tesla returns (2 day difference percentage)

            ...

            ANSWER

            Answered 2022-Mar-12 at 16:10

            Use na.locf0 which stands for last occurrence carried forward. Below we have simplified the code. Omit facet = NULL if you want separate panels. The code below does not use dplyr so you can write just lag in place of stats::lag if you don't have dplyr loaded. (dplyr clobbers R's lag with its own incompatible version.)

            Source https://stackoverflow.com/questions/71442800

            QUESTION

            Plotting a Pie chart from a dictionary?
            Asked 2022-Feb-20 at 19:33

            I am attempting to construct a pie chart of the weighting of certain sectors in a index.

            given this sample data frame.

            ...

            ANSWER

            Answered 2022-Feb-20 at 19:33

            There are two problems:

            • the values need to be numeric, now they are strings
            • the individual values shouldn't be put into lists, they need to be just one number, e.g. taking the sum of all values belonging to the same category

            As the original data only has one entry per category, the following example adds an extra 'Tech'.

            Source https://stackoverflow.com/questions/71197735

            QUESTION

            Parse a structured dictionary of entries into a prettified Excel sheet
            Asked 2022-Feb-13 at 20:17

            I have this python dictionary and I want to write this data to an Excel file.

            NOTE: there are many categories and each category has many cars (I used 2 categories for simplicity)

            ...

            ANSWER

            Answered 2022-Feb-13 at 20:17

            TL;DR - the best solution is in the end.

            The most straightforward way would be to go over your data and append rows one by one:

            Source https://stackoverflow.com/questions/71103711

            QUESTION

            How can get all non us-gaap concepts from some api or file?
            Asked 2022-Jan-25 at 11:38

            Companies are allowed to create their own concepts. The conccept AccruedAndOtherCurrentLiabilities is generated by tesla. Get all us-gaap concepts from ssec's RESTful api with python code:

            ...

            ANSWER

            Answered 2022-Jan-25 at 11:38

            If I understand you correctly, one way to get the company's US GAAP taxonomy concept extensions (there may be others) is to do the following. Note that the data is in xml format, not json, so you will need to use an xml parser.

            If you look at the company's 10-K filing for 2020, for example, you will notice that, at the bottom, there is a list of data files, the first one described as "XBRL TAXONOMY EXTENSION SCHEMA" and named "tsla-20201231.xsd". That's the file you're looking for. Copy the url and get started. BTW, it's probably possible to automate all this, but that's a different topic.

            Source https://stackoverflow.com/questions/70764698

            QUESTION

            linq Group By and take first and lats records
            Asked 2022-Jan-17 at 00:35

            I am dealing with probably simple yet difficult problem for me. I am taking photos of parked cars and save them by car's plate and timestamp it. Same car could be photographed several times during the day.

            Sample Data

            Plate Brand Model InsertDate 99AA111 Tesla S 2022-01-17 04:00:00 99AA111 Tesla S 2022-01-17 04:30:00 99AA111 Tesla S 2022-01-17 05:00:00 59TA3312 Nissan Skyline 2022-01-17 04:00:00 59TA3312 Nissan Skyline 2022-01-17 04:30:00 129EA512 Subaru Impreza 2022-01-17 03:30:00

            What i am trying to achieve is;

            Plate Brand Model FirstPhotoDate SecondPhotoDate 99AA111 Tesla S 2022-01-17 04:00:00 2022-01-17 04:30:00 99AA111 Tesla S 2022-01-17 05:00:00 - 59TA3312 Nissan Skyline 2022-01-17 04:00:00 2022-01-17 04:30:00 129EA512 Subaru Impreza 2022-01-17 03:30:00 -

            I have came up with;

            ...

            ANSWER

            Answered 2022-Jan-16 at 22:25

            Well, having (let use named tuple to demo):

            Source https://stackoverflow.com/questions/70734324

            QUESTION

            Making a column out of a part of an multiindex column in pandas
            Asked 2021-Dec-30 at 09:06

            I have a df:

            ...

            ANSWER

            Answered 2021-Dec-30 at 09:06

            If original ordering is not important, use DataFrame.stack:

            Source https://stackoverflow.com/questions/70529235

            QUESTION

            JsLookup on multiple level array using play Json library (or any other suggestion)
            Asked 2021-Nov-21 at 23:18

            My function is receiving a JsValue, now this json have lists, and this lists element could also be lists, for example:

            ...

            ANSWER

            Answered 2021-Nov-09 at 13:58

            As you can see in the documentation, you can use the Reads typeclass to define the way to decode types from JSON.

            Source https://stackoverflow.com/questions/69899039

            QUESTION

            Should I keep an enum attribute when it has always the same value as a result of a new inheritance?
            Asked 2021-Nov-04 at 06:56

            I have these classes:

            ...

            ANSWER

            Answered 2021-Nov-04 at 06:56

            Your first solution is incorrect given that you required a non editable BRAND for an electric car.

            Your second solution just doesn't work at all excepted if you override both getter and setter of brand field to use your static field, which is not "elegant and mantainable"

            Your third solution doesn't make use of object oriented concept.

            A simple solution I would use is to let the field brand and its getter in Car superclass, but I'd only define the setter in the CombustionCar class. Alternatively, if you extend your model, you could create an intermediate abstract superclass "FreeBrandCar" which implements the setter.

            Solution with the setter in CombustionCar

            Source https://stackoverflow.com/questions/69719049

            QUESTION

            How to convert tokenized words back to the original ones after inference?
            Asked 2021-Sep-22 at 14:13

            I'm writing a inference script for already trained NER model, but I have trouble with converting encoded tokens (their ids) into original words.

            ...

            ANSWER

            Answered 2021-Sep-22 at 14:13

            Provided you only want to "merge" company names one could do that in a linear time with pure Python.

            Skipping the beginning of sentence token [CLS] for brevity:

            Source https://stackoverflow.com/questions/69274391

            QUESTION

            MongoDB- find document by id then group it with key
            Asked 2021-Sep-08 at 19:01

            My Data-Structure looks like this:

            ...

            ANSWER

            Answered 2021-Sep-08 at 19:01

            Query

            • lookup with it self, join only with the type that the id=3 has.
            • empty join results => different type so they are filtered out

            Test code here

            Source https://stackoverflow.com/questions/69108111

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install tesla

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

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            https://github.com/jsgoecke/tesla.git

          • CLI

            gh repo clone jsgoecke/tesla

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            git@github.com:jsgoecke/tesla.git

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