GET https://dev.normadoc.fr/_partial/cart/summary?template=%40SyliusShop%2FCart%2F_widget.html.twig

Components

3 Twig Components
7 Render Count
4 ms Render Time
282.0 MiB Memory Usage

Components

Name Metadata Render Count Render Time
ProductState
"App\Twig\Components\ProductState"
components/ProductState.html.twig
3 0.91ms
ProductMostRecent
"App\Twig\Components\ProductMostRecent"
components/ProductMostRecent.html.twig
3 2.52ms
ProductType
"App\Twig\Components\ProductType"
components/ProductType.html.twig
1 0.26ms

Render calls

ProductState App\Twig\Components\ProductState 282.0 MiB 0.48 ms
Input props
[
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    #id: 11006
    #code: "IEEE00005419"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
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          New IEEE Standard - Superseded.<br />\n
          IEEE P21451-001 defines signal processing algorithms and data structure in order to share and to infer signal and state information of an instrumentation or control system. These algorithms are based on the signal and transducers attached to the system. order to share and to infer signal and state information of an instrumentation or control system. These algorithms are based on the signal and transducers attached to the system. This standard also defines a set of transducer signal treatment services based on signal treatment algorithms as application programming interface (API), which is used for applications to use or call these transducer signal treatment services.<br />\n
          \t\t\t\t<br />\n
          This recommended practice defines signal processing algorithms and data structure in order to share and to infer signal and state information of an instrumentation or control system. These algorithms are based on their own signal and also on the transducers attached to the system. The recommended practice also defines the commands and replies for requesting information and algorithms for shape analysis such as exponential, sinusoidal, impulsive noise, noise, and tendency.<br />\n
          The purpose is to define a standardized and universal framework that allows smart transducers to extract features of the signal being generated and measured. With the definition of these practices, the raw data can be converted into information and then into knowledge. In this context, knowledge means understanding of the nature of the transducer signal. This understanding can be shared with the system and other transducers in order to form a platform for sensory knowledge fusion.
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Attributes
[
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]
Component
App\Twig\Components\ProductState {#93007
  +product: App\Entity\Product\Product {#7310
    #id: 11006
    #code: "IEEE00005419"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
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    #enabled: true
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        #id: 39033
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          New IEEE Standard - Superseded.<br />\n
          IEEE P21451-001 defines signal processing algorithms and data structure in order to share and to infer signal and state information of an instrumentation or control system. These algorithms are based on the signal and transducers attached to the system. order to share and to infer signal and state information of an instrumentation or control system. These algorithms are based on the signal and transducers attached to the system. This standard also defines a set of transducer signal treatment services based on signal treatment algorithms as application programming interface (API), which is used for applications to use or call these transducer signal treatment services.<br />\n
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          This recommended practice defines signal processing algorithms and data structure in order to share and to infer signal and state information of an instrumentation or control system. These algorithms are based on their own signal and also on the transducers attached to the system. The recommended practice also defines the commands and replies for requesting information and algorithms for shape analysis such as exponential, sinusoidal, impulsive noise, noise, and tendency.<br />\n
          The purpose is to define a standardized and universal framework that allows smart transducers to extract features of the signal being generated and measured. With the definition of these practices, the raw data can be converted into information and then into knowledge. In this context, knowledge means understanding of the nature of the transducer signal. This understanding can be shared with the system and other transducers in order to form a platform for sensory knowledge fusion.
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      date: 2022-07-22 00:00:00.0 Europe/Paris (+02:00)
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    -coreDocument: "21451-001"
    -bookCollection: ""
    -pageCount: 104
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  +appearance: "state-suspended"
  +labels: [
    "Superseded"
  ]
  -stateAttributeCode: "state"
  -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …}
}
ProductType App\Twig\Components\ProductType 282.0 MiB 0.26 ms
Input props
[
  "product" => App\Entity\Product\Product {#7310
    #id: 11006
    #code: "IEEE00005419"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751039420 {#7274
      date: 2025-06-27 17:50:20.0 Europe/Paris (+02:00)
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    #updatedAt: DateTime @1754607611 {#7322
      date: 2025-08-08 01:00:11.0 Europe/Paris (+02:00)
    }
    #enabled: true
    #translations: Doctrine\ORM\PersistentCollection {#7921 …}
    #translationsCache: [
      "en_US" => App\Entity\Product\ProductTranslation {#7920
        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#7310}
        #id: 39033
        #name: "IEEE 21451-001"
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        #description: """
          New IEEE Standard - Superseded.<br />\n
          IEEE P21451-001 defines signal processing algorithms and data structure in order to share and to infer signal and state information of an instrumentation or control system. These algorithms are based on the signal and transducers attached to the system. order to share and to infer signal and state information of an instrumentation or control system. These algorithms are based on the signal and transducers attached to the system. This standard also defines a set of transducer signal treatment services based on signal treatment algorithms as application programming interface (API), which is used for applications to use or call these transducer signal treatment services.<br />\n
          \t\t\t\t<br />\n
          This recommended practice defines signal processing algorithms and data structure in order to share and to infer signal and state information of an instrumentation or control system. These algorithms are based on their own signal and also on the transducers attached to the system. The recommended practice also defines the commands and replies for requesting information and algorithms for shape analysis such as exponential, sinusoidal, impulsive noise, noise, and tendency.<br />\n
          The purpose is to define a standardized and universal framework that allows smart transducers to extract features of the signal being generated and measured. With the definition of these practices, the raw data can be converted into information and then into knowledge. In this context, knowledge means understanding of the nature of the transducer signal. This understanding can be shared with the system and other transducers in order to form a platform for sensory knowledge fusion.
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    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
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]
Attributes
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Component
App\Twig\Components\ProductType {#93187
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    #id: 11006
    #code: "IEEE00005419"
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    #createdAt: DateTime @1751039420 {#7274
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        #id: 39033
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          New IEEE Standard - Superseded.<br />\n
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          This recommended practice defines signal processing algorithms and data structure in order to share and to infer signal and state information of an instrumentation or control system. These algorithms are based on their own signal and also on the transducers attached to the system. The recommended practice also defines the commands and replies for requesting information and algorithms for shape analysis such as exponential, sinusoidal, impulsive noise, noise, and tendency.<br />\n
          The purpose is to define a standardized and universal framework that allows smart transducers to extract features of the signal being generated and measured. With the definition of these practices, the raw data can be converted into information and then into knowledge. In this context, knowledge means understanding of the nature of the transducer signal. This understanding can be shared with the system and other transducers in order to form a platform for sensory knowledge fusion.
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    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
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    -apiLastModifiedAt: DateTime @1754517600 {#7317
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  }
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  -typeAttributeCode: "type"
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}
ProductMostRecent App\Twig\Components\ProductMostRecent 282.0 MiB 0.91 ms
Input props
[
  "product" => App\Entity\Product\Product {#7310
    #id: 11006
    #code: "IEEE00005419"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
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    #createdAt: DateTime @1751039420 {#7274
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          New IEEE Standard - Superseded.<br />\n
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          This recommended practice defines signal processing algorithms and data structure in order to share and to infer signal and state information of an instrumentation or control system. These algorithms are based on their own signal and also on the transducers attached to the system. The recommended practice also defines the commands and replies for requesting information and algorithms for shape analysis such as exponential, sinusoidal, impulsive noise, noise, and tendency.<br />\n
          The purpose is to define a standardized and universal framework that allows smart transducers to extract features of the signal being generated and measured. With the definition of these practices, the raw data can be converted into information and then into knowledge. In this context, knowledge means understanding of the nature of the transducer signal. This understanding can be shared with the system and other transducers in order to form a platform for sensory knowledge fusion.
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Attributes
[]
Component
App\Twig\Components\ProductMostRecent {#93262
  +product: App\Entity\Product\Product {#7310
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          New IEEE Standard - Superseded.<br />\n
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          \t\t\t\t<br />\n
          This recommended practice defines signal processing algorithms and data structure in order to share and to infer signal and state information of an instrumentation or control system. These algorithms are based on their own signal and also on the transducers attached to the system. The recommended practice also defines the commands and replies for requesting information and algorithms for shape analysis such as exponential, sinusoidal, impulsive noise, noise, and tendency.<br />\n
          The purpose is to define a standardized and universal framework that allows smart transducers to extract features of the signal being generated and measured. With the definition of these practices, the raw data can be converted into information and then into knowledge. In this context, knowledge means understanding of the nature of the transducer signal. This understanding can be shared with the system and other transducers in order to form a platform for sensory knowledge fusion.
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  +label: "Historical"
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}
ProductState App\Twig\Components\ProductState 282.0 MiB 0.21 ms
Input props
[
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        #id: 39033
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