vcm | small script to automate project folder management | Automation library
kandi X-RAY | vcm Summary
kandi X-RAY | vcm Summary
very complete management (a pentest tool for organizing things).
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Top functions reviewed by kandi - BETA
- Run testsl
- Read the project config file
- Run nmap
- Run nikto
- Run dirb
- Create a new project
- Write project configuration file
- Create folder
- Pull project from remote folder
- Load global vcm
- Create a global configuration file with default settings
- Reads the global VM configuration file
- Rsync project
vcm Key Features
vcm Examples and Code Snippets
Community Discussions
Trending Discussions on vcm
QUESTION
I spent a good amount of time searching for a solution on here and google but came up empty. I thought dense_rank() might work but I can't get it to do what I'm needing. I'm using SSMS 18. What I'm trying to do is assign a unique ID to groups of records that I have partitioned with row_number().
The data looks like this:
RN Client_ID Date 1 xxxx 2022-08-23 2 xxxx 2022-08-23 3 xxxx 2022-08-23 1 xxxx 2022-08-25 2 xxxx 2022-08-25 1 yyyy 2022-06-10 2 yyyy 2022-06-10 1 gggg 2021-05-06 2 gggg 2021-05-06 3 gggg 2021-05-06 4 gggg 2021-05-06So each group of records now needs to have a unique ID attributed to them. So it would look something like this:
UnqID RN Client_ID Date 0001 1 xxxx 2022-08-23 0001 2 xxxx 2022-08-23 0001 3 xxxx 2022-08-23 0002 1 xxxx 2022-08-25 0002 2 xxxx 2022-08-25 0003 1 yyyy 2022-06-10 0003 2 yyyy 2022-06-10 0004 1 gggg 2021-05-06 0004 2 gggg 2021-05-06 0004 3 gggg 2021-05-06 0004 4 gggg 2021-05-06Thanks in advance for any help on this.
...ANSWER
Answered 2022-Mar-11 at 17:57try using a common table entry cte and groupby
QUESTION
I am building a virtual assistant for myself and it feels wrong and ineffective to ask for every command by an individual if like here as example:
...ANSWER
Answered 2021-Aug-06 at 19:47You could separate your commands into functions:
QUESTION
I'm doing a course on firebase functions and the function below copies the image uploaded to the firebase storage to GCP storage bucket.
Everything works fine for the instructor but I get the error:
uploadToVCMBucket Error: fbpipeline-9876@appspot.gserviceaccount.com does not have storage.objects.create access to the Google Cloud Storage object. at new ApiError (/workspace/node_modules/@google-cloud/common/build/src/util.js:73:15)
The instructor did not mention to setup permissions to gain access to the GCP bucket. Are there any steps we need to perform to grant the google function to copy to the GCP storage?
Steps Followed:
- Setup Firestore, realtimedb and Storage
- Upload image to firebase storage using react-firebase-file-uploader.
- In GCP created a bucket as shown in the screenshot below
- Deployed below function to firebase function to copy image from firebase storage to GCP Bucket
ANSWER
Answered 2021-Aug-02 at 08:36to grant the creator object to you service account you can use the following command in the cloud shell:
QUESTION
When I write the command "! LVL" The bot just doesn't react in any way. The teams used to work. I changed something and now he does not react to them. In addition, before, if I wrote a command incorrectly, then in the console the bot gave an error that such a command does not exist. Now he does not respond to more than one command, even to the built-in one !help
...But all events work correctly.
ANSWER
Answered 2021-Aug-01 at 16:24Add an await client.process_commands(message)
at the end of your on_message
event
QUESTION
I am using the Google AiPlatform (Unified) Python client to export a trained model to a Google Cloud bucket. I am following the sample code from: export_model_sample.
The application has "owner" credentials at the moment because I want to make sure it is not a permissions issue. However, when I try to execute the sample code I am getting the following error:
Traceback (most recent call last): File "/usr/local/lib/python3.8/site-packages/google/api_core/grpc_helpers.py", line 57, in error_remapped_callable return callable_(*args, **kwargs) File "/usr/local/lib/python3.8/site-packages/grpc/_channel.py", line 923, in call return _end_unary_response_blocking(state, call, False, None) File "/usr/local/lib/python3.8/site-packages/grpc/_channel.py", line 826, in _end_unary_response_blocking raise _InactiveRpcError(state) grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with: status = StatusCode.FAILED_PRECONDITION details = "Exporting artifact for model
projects/101010101010/locations/us-central1/models/123123123123123
in formatis not supported." debug_error_string = "{"created":"@1611864688.554145696","description":"Error received from peer ipv4:172.217.12.202:443","file":"src/core/lib/surface/call.cc","file_line":1067,"grpc_message":"Exporting artifact for model `projects/110101010101/locations/us-central1/models/123123123123123` in format
is not supported.","grpc_status":9}"The above exception was the direct cause of the following exception:
Traceback (most recent call last): File "/app/main.py", line 667, in response = aiplatform_model_client.export_model(name=name, output_config=output_config) File "/usr/local/lib/python3.8/site-packages/google/cloud/aiplatform_v1beta1/services/model_service/client.py", line 937, in export_model response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,) File "/usr/local/lib/python3.8/site-packages/google/api_core/gapic_v1/method.py", line 145, in call return wrapped_func(*args, **kwargs) File "/usr/local/lib/python3.8/site-packages/google/api_core/grpc_helpers.py", line 59, in error_remapped_callable six.raise_from(exceptions.from_grpc_error(exc), exc) File "", line 3, in raise_from google.api_core.exceptions.FailedPrecondition: 400 Exporting artifact for model
projects/111101010101/locations/us-central1/models/123123123123123123
in format `` is not supported.
(I have omitted the project id and the models id. Using 10101 and 123123)
I have verified my inputs but everything seems ok:
...ANSWER
Answered 2021-Jan-29 at 04:18The export_model_sample is missing a request field. You should include "export_format_id": string
in the output_config
. You can further explore the required output_config
fields required by export endpoint in the AI Platform Unified REST API Reference.
The accepted values for export_format_id
are the following:
tflite
Used for Android mobile devices.edgetpu-tflite
Used for Edge TPU devices.tf-saved-model
A tensorflow model in SavedModel format.tf-js
A TensorFlow.js model that can be used in the browser and in Node.js using JavaScript.core-ml
Used for iOS mobile devices.custom-trained
A Model that was uploaded or trained by custom code.
The code should look like this. In this case I used tflite
for the export_format_id
.
QUESTION
This is my stored procedure in SQL Server 2016:
...ANSWER
Answered 2020-Dec-17 at 13:04All the code needs to be dynamic if an identifier is dynamic -- and you have to munge query strings:
QUESTION
ANSWER
Answered 2020-Jul-30 at 20:07this code worked
QUESTION
This is my StudentDaoImpl class.
...ANSWER
Answered 2020-Jun-01 at 09:51String hql="select new com.gavs.beans.Result(s.name as s_name,s.age as s_age,d.dept_name as d_name,c.college_name as c_name)"+
" from com.gavs.beans.College c" +
"join com.gavs.beans.Department d on d.institutes.college_id = c.college_id" +
"join com.gavs.beans.Student s on s.departments.dept_id = d.dept_id" +
"where s.name = :enteredValue";
QUESTION
I've labelled objects on images with Google Cloud AutoML label tool. Than I've exported csv file. Here is the output:
...ANSWER
Answered 2020-Mar-23 at 22:16These are called a NormalizedVertex.
A vertex represents a 2D point in the image. The normalized vertex coordinates are between 0 to 1 fractions relative to the original plane (image, video). E.g. if the plane (e.g. whole image) would have size 10 x 20 then a point with normalized coordinates (0.1, 0.3) would be at the position (1, 6) on that plane.
To get a pixel coordinate, you can multiply that number by your input width or length as appropriate.
The entire reference for the CSV formatting explains the following (truncated) makes up each row (one row per bounding box or per image):
TRAIN
- Which set to assign the content in this row togs://optik-vcm/...
- Google Cloud Storage URIkenarcizgi
- A label that identifies how the object is categorized- A bounding box for an object in the image:
x_relative_min
,y_relative_min
,x_relative_max
,y_relative_min
,x_relative_max
,y_relative_max
,x_relative_min
,y_relative_max
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