Error module name must be unique arena

Error: data must be uniquely named but has duplicate columns #5

When I try to run examples presented in this README or its vignette, I get the following error.

Error: data must be uniquely named but has duplicate columns

R version 3.3.3, with latest particles, ggraph, and so on.

The text was updated successfully, but these errors were encountered:

I’ve just encountered the same error in a different context.
May be related to ggplot2 or rlang.
This is due to duplicated colnames.

Dropping the duplicate column fixed this issue for me

The issue isn’t with the R version, but the ggplot2 version. install ggplot2 version 2.2.1 and it should work!
require(devtools)
install_version(«ggplot2», version = «2.2.1», repos = «http://cran.us.r-project.org»)

Error persists. Is there an update on that?

Using an older version is only a temporary solution which might be limiting in some ways.

haven’t had time to look into it, but @jsan4christ’s solution is generally applicable.

Well, I have only unique values on my data set and I want to compare the distribution of 2 classes of data (only using aes(x,y, fill= category) ) in geom_boxplot or geom_dotplot with code that works in version 2.2.1 as suggested by @simonlee184. Although, if I try using facets then it won’t work. Maybe other issues arise when installing the older version. I need to look into those now too.

In the newer version it tells me that there are duplicates when there aren’t any. I checked it using all sorts of commands and removing any possible duplicate.

It is difficult to help without a reproducible example. In general it is complaining about duplicate column names, not duplicate values

A few things were corrupt in the process of trying to find out what was wrong. Got it all fixed now. Your suggestion to works, just renamed columns this time. Sorry for bothering.

You can use below code which should resolve the issue.
colnames(data)

@iamdeepaka, belive me man, you`re the man! After four hours of struggle, I fixed the problem using your suggestions.

@iamdeepaka thank you so much! this solution saved me hours of search

@iamdeepaka I tried your code suggestion, and I was wondering if you had any thoughts about how to approach this error:

Since «cds» is a cell_data_set, I wonder if you have to approach making unique names a different way. Thanks in advance!

@iamdeepaka I tried your code suggestion, and I was wondering if you had any thoughts about how to approach this error:

same question
Since «cds» is a cell_data_set, I wonder if you have to approach making unique names a different way. Thanks in advance!

Источник

table name « repeat register, must be unique #10

i did all the command in ReadMe.

1, bee new hello
2, cd hello
3, update conf
4, cp -R ../github.com/beego/admin/static ./
5, p -R ../github.com/beego/admin/views ./
6, go build
7, ./hello

it turn out error:
table name « repeat register, must be unique

The text was updated successfully, but these errors were encountered:

sorry ! I forgot to tell u .first copy admin->app.conf to hello->app.conf

important:
rbac_role_table = role
rbac_node_table = node
rbac_group_table = group
rbac_user_table = user
create tables configuration.

I have create the database,and edit the conf as you had written upstairs.
And I change the function «Connection» to this:
func Connection() <
orm.RegisterDataBase(«default», «mysql», «root:bzywet#@tcp(127.0.0.1:3306)/testdb?charset=utf8»)
>

it turn out error:
table name « repeat register, must be unique

@ywqwancbx what’s the mean about «You must create database?»

please check database config in app.conf ,make sure the db is that you has created.
and make sure your conf/app.conf in your execute file directory.

edit the app.confg.
db_host = localhost -> db_host = 127.0.0.1

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WINDOWS path aliases cause: [ ERROR ] Component Tag Name «my-component» Must Be Unique #2319

Stencil version:

I’m submitting a:

[X ] bug report
[ ] feature request
[ ] support request => Please do not submit support requests here, use one of these channels: https://stencil-worldwide.herokuapp.com/ or https://forum.ionicframework.com/

Current behavior:
I am seeing the error:

[ ERROR ] Component Tag Name «my-component» Must Be Unique

This error has started showing up since updated my code from stencil v1.9.2. I tried v1.10.0, v.1.10.1, v1.10.2, v1.10.3, v.1.11.0, v1.11.1, v1.11.2 All versions after 1.9 seem to exhibit the same problem.

I have taken the starter project from stencil and updated it to contain one alias pointing to the utils directory. I also created a second component in the sample project. Now I’m able to see this error message in the starter project.

I am running this on Windows 10.

Expected behavior:
Expecting no error so that I’m able to run the code

Steps to reproduce:
grab the source code from here: https://github.com/mmakrzem/stencil1-11-error

execute the following commands in order
run npm install
npm run start //it runs fine
npm run test //it runs fine
npm run start //now getting an error messages

Here is my Windows console output:

The text was updated successfully, but these errors were encountered:

Источник

Kubernetes Error Codes: Must Be Unique

As a technology, Kubernetes has significantly simplified the DevOps workflow of managing infrastructure, enabling engineers to concentrate on delivering value to the business.

To report errors like _invalid configuration_ or _failure to execute part of the container lifecycle_, Kubernetes uses error codes like `CrashLoopBackOff`, `Init:ErrImagePull`, or `must be unique`. The intention is for errors to be simple enough to fit in a short message yet specific enough for troubleshooting the root cause.

Learning about these error codes improves your general understanding of Kubernetes and the container ecosystem. Once you’re familiar with them, you’ll be able to debug and troubleshoot any issue faster, saving you valuable time.

In this article, you’ll learn in detail what the `must be unique` error is, why your Kubernetes service is receiving it, and how to resolve it.

The `must be unique` Error

The `must be unique` error code is a storage error that occurs when you try to mount multiple source volumes to the same destination path within your container specification. More specifically, it means that every mountPath in the volumeMounts section of each container must be unique.

Kubernetes will throw this particular error code if you attempt to merge distinct secret and configuration sources into the container under a flat structure.

Let’s take a look at an example. The following code snippet creates a default configuration for all environments and sites:

The file will be named `default-config.properties:` and will be used to create a development Kubernetes service (described below) separate from the production service. In that service, you want to override the API URL and set the log level to DEBUG:

Next, create some secrets containing the credentials of the API URL above. The secrets file is called `default-secrets.properties`.

You’ll also create a secrets file for the development environment, named `dev-secrets.properties`:

The following Kubernetes commands will create the necessary secrets and configMap in the cluster:

You can now create your Kubernetes container in development and load the `default-config`, the `dev-config` (for development, which may override some part of the default config), and the `default-secrets` and `dev-secrets` to load the necessary secrets.

Here is a sample development-service specification file named `dev-service.yaml` that includes the configurations above:

The structure of this document allows developers to maintain a safe default and secret configuration (common to all environments) while also allowing them to override specific configuration settings for different environments or customers.

However, when you try to load this configuration in the cluster, the engine will respond with the following error:

The key point to note here is that when defining the volumeMount configuration for the container, the mountPath can’t be reused, as Kubernetes does not know how to resolve naming conflicts. For example, if both source volumes contain the file _password_, Kubernetes does not know which one will take precedence over the other.

Similarly, if the volumes are mounted in read-write mode and the container writes a file in the shared mountPath, Kubernetes doesn’t know which source volume it should write to.

How to Fix the `must be unique` Error

To resolve this error, you need to ensure that the volumeMounts are unique in your container. To meet this condition, you have several options. Which one you can use depends on your ability to modify the container image.

Using Projected Volumes

In 2017, Kubernetes proposed the concept of projected volumes, which has subsequently been implemented and documented.

In essence, a projected volume is a new volume driver that will take multiple read-only volume configurations and will generate a composite single volume that can be used in the container’s volumeMount configuration.

To use project volumes, the original configuration file can be modified as follows:

There is now a single volumeMount for the container, and the volume is now a projected one, containing both secrets previously defined.

With this approach, if you have naming conflicts when adding multiple sources into a projected volume, the latter key will take precedence and be the one available to the container.

The above configuration will resolve to the following secrets/configuration within your container:

In this particular example, the loaded configuration and secrets are those for the development environment, overriding the default ones. This allows the application to load the configuration files on a fixed path and to override specific configurations or secrets on a case-by-case basis.

Using Distinct mountPaths

Another option is to use a distinct mountPath for each volume in the container definition and update the application’s logic to read each path to find the configuration.

The benefit here is that your pod configuration remains simple and explicit; however, the downside is that your application will need some type of logic to read the secret from different paths. This can get out of hand pretty quickly as you add more override folders or conditions per environment, per site, or per customer. That’s why this pattern is most suitable where you have completely separate volumes that need to be mounted or where some of the volumes are writable.

With this approach, the container definition file can be rewritten like this:

Injecting Secrets as Environment Variables

This option is generally suitable if you know the name of the secrets and configuration you want to make available to the container. It also makes your container more portable to other orchestration services (such as AWS ECS Fargate), which provide secrets via environment variables. This option resolves the `must be unique` error by not using volumes at all.

In this option, instead of providing all configurations and secrets as files within the container and letting the container read those files to load their value, you will configure Kubernetes to convert the content of specific configurations and secrets into targeted environment variable names.

This approach has the benefit of being more portable to other container technologies and third-party applications that have better support for environment variables; however, this option is harder to implement, as there’s no simple way to override a default configuration or secret.

Using an initContainer

This last option uses an initContainer with a local volume to give you complete control over how the secrets and configuration are defined and resolved before your main container starts.

The following snippet shows how your container definition file may look like with initContainer:

This option gives you the most control over how all secrets and configurations are merged into a shared volume during initialization without requiring you to modify the main application image. It also allows you to fetch secrets and configurations from outside the Kubernetes cluster, such as S3 or other external storage services.

This option is most suitable in the following cases:

• When you have multiple service containers that rely on a shared configuration that’s generated only once
• When you have security requirements to run your main container with read-only file systems. In such cases, you can’t generate the shared configuration as part of the entry point.

More details on how to configure the initContainer can be found here.

Conclusion

In this article, you have learned what the Kubernetes `must be unique` error code means and how you can resolve it with a few different methods.В

You have also learned about different methods for mounting several configurations to a single-target container in your Kubernetes cluster—using projected volumes, separate mount paths, environment variables, or initialization containers.

Validating the Kubernetes configuration in the CI/CD pipeline would prevent this issue from appearing in production. Be sure to consider using a validation tool to help prevent such misconfigurations and catch issues early on.

Learn from Nana, AWS Hero & CNCF Ambassador, how to enforce K8s best practices with Datree

рџЌї Techworld with Nana: How to enforce Kubernetes best practices and prevent misconfigurations from reaching production. Watch now.

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Источник

IE 429 Spring 2004

Common Errors When Running Arena Model

1- Run over 100 (or 150) entities

It happens when there are more than 100 entities at one time in the system (for student

version). There should be a bottleneck in your model. Check you model to find it. Here

is an example error message:

ERROR:

Entity: 150

A runtime error was detected at time 176.05796 at the following block:

* 1 2$ CREATE,1,HoursToBaseTime(0.0),Entity 1:

HoursToBaseTime(EXPO(1)):

NEXT(3$);

Maximum of 150 entities exceeded.

Possible causes:

— A logic problem in your model is creating too many entities or not

disposing them. The run controller may be helpful in finding the problem.

— You are in demo mode and have exceeded the entity limit. The commercial

version is required to run large models.

— You have set an entity limit on the DISCRETE element that is too small.

Remove the limit or set it to a larger number.

— You have exceeded the standard array space for models. Use the Array Sizes

page in the Tools/Options dialog to increase the RSET space allocated and

recheck your model.

Common Types of reasons for this error:

a) Check for time units in your model to match.

b) Check for consistency of names you have selected in your model. For example

do not use the same name for different purposes. Make sure your names’ spelling

is consistent.

c) Run your model for a shorter time, less than the error time. For example, for the

above figure run your model for 170 unit of time. Check your statistical output

for bottlenecks. For example entity flow is not logical in some parts of model, or

there is a pile up situation at one queue. To check for pile up, look for high values

of “max number in queue” and “final number in queue”, they may even be equal.

d) Check for capacity of your resources.

2- Connection

It happens when you try to connect wrong modules to each other.

1

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@tundebabzy after the most recent updates, the error message has changed. Who knows, this may be a good opportunity to revisit this issue.

Traceback (most recent call last):
  File "/home/frappe/frappe-bench/apps/frappe/frappe/app.py", line 56, in application
    response = frappe.handler.handle()
  File "/home/frappe/frappe-bench/apps/frappe/frappe/handler.py", line 21, in handle
    data = execute_cmd(cmd)
  File "/home/frappe/frappe-bench/apps/frappe/frappe/handler.py", line 52, in execute_cmd
    return frappe.call(method, **frappe.form_dict)
  File "/home/frappe/frappe-bench/apps/frappe/frappe/__init__.py", line 913, in call
    return fn(*args, **newargs)
  File "/home/frappe/frappe-bench/apps/frappe/frappe/desk/doctype/desktop_icon/desktop_icon.py", line 164, in add_user_icon
    frappe.throw(_('Desktop Icon already exists'))
  File "/home/frappe/frappe-bench/apps/frappe/frappe/__init__.py", line 319, in throw
    msgprint(msg, raise_exception=exc, title=title, indicator='red')
  File "/home/frappe/frappe-bench/apps/frappe/frappe/__init__.py", line 309, in msgprint
    _raise_exception()
  File "/home/frappe/frappe-bench/apps/frappe/frappe/__init__.py", line 282, in _raise_exception
    raise raise_exception(encode(msg))
ValidationError: Desktop Icon existiert bereits

I’ve also noticed that when I set the icon, it saves but the option is not persistent.

This error has also been reported on the forum.

A

RENA

U

SER

’

S

G

UIDE

40

• •

•

•

•

Data modules

Data modules are the set of objects in the spreadsheet view of the model that define the
characteristics of various process elements, such as resources and queues.

Entity module

D

ESCRIPTION

This data module defines the various entity types and their initial picture values in a
simulation. Initial costing information and holding costs are also defined for the entity.

T

YPICAL

USES

„

Items being produced or assembled (parts, pallets)

„

Documents (forms, e-mails, faxes, reports)

„

People moving through a process (customers, callers)

P

ROMPTS

Prompt

Description

Entity Type

The name of the entity type being defined. This name must be unique.

Initial Picture

Graphical representation of the entity at the start of the simulation. This
value can be changed during the simulation using the Assign module.

Holding Cost/Hour

Hourly cost of processing the entity through the system. This cost is
incurred when the entity is anywhere in the system.

Initial VA Cost

Initial cost value that will be assigned to the value-added cost attribute
of the entity. This attribute accrues the costs incurred when an entity is
spending time in a value-added activity.

Initial NVA Cost

Initial cost value that will be assigned to the non-value-added cost
attribute of the entity. This attribute accrues the costs incurred when an
entity is spending time in a non-value-added activity.

Initial Waiting Cost

Initial cost value that will be assigned to the waiting-cost attribute of the
entity. This attribute accrues the costs incurred when an entity is
spending time in a wait activity; e.g., waiting to be batched or waiting
for resource(s) at a Process module.

Initial Transfer Cost

Initial cost value that will be assigned to the transfer cost attribute of the
entity. This attribute accrues the costs incurred when an entity is
spending time in a transfer activity.

This document describes how to implement Modules. A Module allows packages and services to be created. They define the fields requested when adding or editing packages and services, as well as handle all communication with remote servers to provision said packages and services.

Getting Started with Modules

For the purpose of this manual, the module name we’ll refer to is my_module. Your module name will, of course, differ.

File Structure

Modules are fully contained within their named module directory and placed in the /installpath/components/modules/ directory. Each module is only required to contain a single class, representing the module, but the following is the recommended structure:

• /modules/
  • my_module/
    • views/
    • language/
    • my_module.php

Install Logic

If your module requires any code to execute when installed, place that logic in your module’s install() method.

<?php
class MyModule extends Module {

    ...

    public function install() {
        #
        # TODO: Place installation logic here
        #
    }
}
?>

Uninstall Logic

If your module required code to install, it likely requires code to uninstall. Place that logic in your module’s uninstall() method.

There are two parameters passed to the uninstall() method. The first ($module_id) is the ID of the module being uninstalled. Because a module can be installed independently under different companies you may need to perform uninstall logic for a single module instance. The second parameter ($last_instance) identifies whether or not this is the last instance of this module in the system. If true, be sure to remove any remaining remnants of the module.

<?php 
class MyModule extends Module {

    ... 

    public function uninstall($module_id, $last_instance) {
        #
        # TODO: Place uninstallation logic here 
        #
    } 
} 
?>

Upgrade Logic

When the version of your code differs from that recorded within Blesta a user may initiate an upgrade, which will invoke your module’s upgrade() method.

The $current_version is the version currently installed. That is, the version that will be upgraded from.

<?php
class MyModule extends Module {

    ...

    public function upgrade($current_version) {
        #
        # TODO: Place upgrade logic here
        #
    }

}
?>

Error Passing

Blesta facilitates error message passing through the use of the Input component. Simply load the Input component into your module and set any errors you encounter using Input::setErrors(). The setErrors() method accepts an array of errors. This can be a multi-dimensional array (in the case of multiple errors triggered for the same input or criteria) or a single dimensional array. The first dimension should be the name of the input that triggered the error. The second dimension, if necessary, is used to identify the type of error encountered.

<?php
class MyModule extends Module {

    public function __construct() {
        Loader::loadComponents($this, array("Input"));
    }

    ...

    public function upgrade($current_version) {
        // Ensure new version is greater than installed version
        if (version_compare($this->version, $current_version) < 0) {
            $this->Input->setErrors(array(
                'version' => array(
                    'invalid' => "Downgrades are not allowed."
                )
            ));
            return;
        }
    }
}
?>

Module Methods

Now that we’ve looked at some of the basic of creating a module, let’s take a look at all of the required methods each module must implement: Module Methods.

Registrar Modules

As of Blesta 5.1 we introduced a new type of module, the registrar module. Registrar modules are utilized by the Domain Manager plugin, which include specific functions for domain management. Registrar modules implement all the functions as standard modules in addition to the BlestaCoreUtilModulesRegistrar interface.

<?php
use BlestaCoreUtilModulesRegistrar;

class Namesilo extends Module implements Registrar
{
	...
	
    public function getDomainContacts($domain, $module_row_id = null)
    {
		#
		# TODO: Get the contacts of the domain
		#
    }

    public function setDomainContacts($domain, array $vars = [], $module_row_id = null)
    {
		#
		# TODO: Set the contacts of the domain
		#
    }

    public function checkTransferAvailability($domain, $module_row_id = null)
    {
		// Check if the domain can be transferred
        return !$this->checkAvailability($domain, $module_row_id);
    }

	public function checkAvailability($domain, $module_row_id = null)
    {
		#
		# TODO: Check if the domain is available
		#
	}

	public function getExpirationDate($domain, $format = 'Y-m-d H:i:s', $module_row_id = null)
    {
		#
		# TODO: Get the expiration date of the domain
		#
	}

    public function getDomainInfo($domain, $module_row_id = null)
    {
		#
		# TODO: Get the domain information
		#
    }

    public function getDomainIsLocked($domain, $module_row_id = null)
    {
		#
		# TODO: Check if the domain is locked
		#
    }

    public function getDomainNameservers($domain, $module_row_id = null)
    {
		#
		# TODO: Get the domain name server 
		#
    }

    public function setDomainNameservers($domain, $module_row_id = null, array $vars = [])
    {
		#
		# TODO: Set the domain name server 
		#
    }

    public function setNameserverIps(array $vars = [], $module_row_id = null)
    {
		#
		# TODO: Set the domain name server IP addresses
		#
    }

    public function lockDomain($domain, $module_row_id = null)
    {
		#
		# TODO: Lock the domain from being transferred
		#
    }

    public function unlockDomain($domain, $module_row_id = null)
    {
		#
		# TODO: Unlock the domain to allow transfers
		#
    }

    public function registerDomain($domain, $module_row_id = null, array $vars = [])
    {
		#
		# TODO: Register a new domain with the registrar
		#
    }

    public function transferDomain($domain, $module_row_id = null, array $vars = [])
    {
		#
		# TODO: Transfer a domain to another registrar
		#
    }

    public function resendTransferEmail($domain, $module_row_id = null)
    {
		#
		# TODO: Re-send the transfer confirmation email
		#
    }

    public function sendEppEmail($domain, $module_row_id = null)
    {
		#
		# TODO: Send an email with the EPP code
		#
    }

    public function updateEppCode($domain, $epp_code, $module_row_id = null, array $vars = [])
    {
		#
		# TODO: Update the EPP code
		#
    }

    public function renewDomain($domain, $module_row_id = null, array $vars = [])
    {
		#
		# TODO: Renew the domain for the given amount of years
		#
    }

    public function restoreDomain($domain, $module_row_id = null, array $vars = [])
    {
		#
		# TODO: Restore a suspended domain
		#
    }

    public function getTldPricing($module_row_id = null)
    {
		// Returns an array containing the pricing for each tld
        return [
            '.com' => [
                'USD' => [
                    1 => ['register' => 10, 'transfer' => 10, 'renew' => 10],
                    2 => ['register' => 20, 'transfer' => 20, 'renew' => 20]
                ]
            ]
        ];
    }

	public function getTlds($module_row_id = null)
    {
		// Returns a list of the TLDs supported by the module
		return [
			'.com',
			'.net',
			'.org'
		];
	}
	...
}

В Python может быть несколько причин возникновения ошибки ModuleNotFoundError: No module named ...:

• Модуль Python не установлен.
• Есть конфликт в названиях пакета и модуля.
• Есть конфликт зависимости модулей Python.

Рассмотрим варианты их решения.

Модуль не установлен

В первую очередь нужно проверить, установлен ли модуль. Для использования модуля в программе его нужно установить. Например, если попробовать использовать numpy без установки с помощью pip install будет следующая ошибка:

Traceback (most recent call last):
   File "", line 1, in 
 ModuleNotFoundError: No module named 'numpy'

Для установки нужного модуля используйте следующую команду:

pip install numpy
# или
pip3 install numpy

Или вот эту если используете Anaconda:

conda install numpy

Учтите, что может быть несколько экземпляров Python (или виртуальных сред) в системе. Модуль нужно устанавливать в определенный экземпляр.

Конфликт имен библиотеки и модуля

Еще одна причина ошибки No module named — конфликт в названиях пакета и модуля. Предположим, есть следующая структура проекта Python:

demo-project
 └───utils
         __init__.py
         string_utils.py
         utils.py

Если использовать следующую инструкцию импорта файла utils.py, то Python вернет ошибку ModuleNotFoundError.

>>> import utils.string_utils

Traceback (most recent call last):

   File "C:demo-projectutilsutils.py", line 1, in

     import utils.string_utils

 ModuleNotFoundError: No module named 'utils.string_utils';

 'utils' is not a package

В сообщении об ошибке сказано, что «utils is not a package». utils — это имя пакета, но это также и имя модуля. Это приводит к конфликту, когда имя модуля перекрывает имя пакета/библиотеки. Для его разрешения нужно переименовать файл utils.py.

Иногда может существовать конфликт модулей Python, который и приводит к ошибке No module named.

Следующее сообщение явно указывает, что _numpy_compat.py в библиотеке scipy пытается импортировать модуль numpy.testing.nosetester.

Traceback (most recent call last):
   File "C:demo-projectvenv
Libsite-packages
         scipy_lib_numpy_compat.py", line 10, in
     from numpy.testing.nosetester import import_nose
 ModuleNotFoundError: No module named 'numpy.testing.nosetester'

Ошибка ModuleNotFoundError возникает из-за того, что модуль numpy.testing.nosetester удален из библиотеки в версии 1.18. Для решения этой проблемы нужно обновить numpy и scipy до последних версий.

pip install numpy --upgrade
pip install scipy --upgrade