GET https://dev.normadoc.fr/_partial/taxons/by-channel-menu-taxon/?template=%40SyliusShop%2FTaxon%2F_horizontalMenu.html.twig

Response
200 OK
IP
216.73.217.119
Profiled on
Token
df07e8

Components

5 Twig Components
5 Render Count
14 ms Render Time
72.0 MiB Memory Usage

Components

Name Metadata Render Count Render Time
PageBanner 
"App\Twig\Components\PageBanner"
components/PageBanner.html.twig 		1 4.73ms
BackButton 
"App\Twig\Components\BackButton"
components/BackButton.html.twig 		1 0.23ms
ProductCard 
"App\Twig\Components\ProductCard"
components/ProductCard.html.twig 		1 9.37ms
ProductState 
"App\Twig\Components\ProductState"
components/ProductState.html.twig 		1 0.20ms
ProductMostRecent 
"App\Twig\Components\ProductMostRecent"
components/ProductMostRecent.html.twig 		1 0.66ms

Render calls

PageBanner App\Twig\Components\PageBanner 72.0 MiB 4.73 ms
Input props 
[
  "backLabel" => "35.100 : Open systems interconnection (OSI)"
  "backUrl" => "/taxons/main/ics-2277/35-information-technology-office-machines-5714/35-100-open-systems-interconnection-osi-4893"
  "paddingClasses" => "p-2 px-lg-5 py-lg-0"
  "searchPlaceholder" => "sylius.ui.search"
  "showSearch" => "true"
  "title" => "35.100.60 : Presentation layer"
]
Attributes 
[]
Component 
App\Twig\Components\PageBanner {#94164
  +supTitle: null
  +title: "35.100.60 : Presentation layer"
  +subTitle: null
  +backUrl: "/taxons/main/ics-2277/35-information-technology-office-machines-5714/35-100-open-systems-interconnection-osi-4893"
  +backLabel: "35.100 : Open systems interconnection (OSI)"
  +customClasses: null
  +backgroundType: null
  +centered: true
  +showSearch: true
  +searchPlaceholder: "sylius.ui.search"
  +searchValue: null
  +paddingClasses: "p-2 px-lg-5 py-lg-0"
}
BackButton App\Twig\Components\BackButton 72.0 MiB 0.23 ms
Input props 
[
  "url" => "/taxons/main/ics-2277/35-information-technology-office-machines-5714/35-100-open-systems-interconnection-osi-4893"
  "label" => "35.100 : Open systems interconnection (OSI)"
]
Attributes 
[]
Component 
App\Twig\Components\BackButton {#94266
  +label: "35.100 : Open systems interconnection (OSI)"
  +url: "/taxons/main/ics-2277/35-information-technology-office-machines-5714/35-100-open-systems-interconnection-osi-4893"
}
ProductCard App\Twig\Components\ProductCard 72.0 MiB 9.37 ms
Input props 
[
  "product" => App\Entity\Product\Product {#94718
    #id: 13135
    #code: "IEEE00010746"
    #attributes: Doctrine\ORM\PersistentCollection {#94795 …}
    #variants: Doctrine\ORM\PersistentCollection {#94793 …}
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    #createdAt: DateTime @1751040892 {#94725
      date: 2025-06-27 18:14:52.0 Europe/Paris (+02:00)
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    #updatedAt: DateTime @1754607611 {#94735
      date: 2025-08-08 01:00:11.0 Europe/Paris (+02:00)
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    #enabled: true
    #translations: Doctrine\ORM\PersistentCollection {#94805 …}
    #translationsCache: [
      "en_US" => App\Entity\Product\ProductTranslation {#94900
        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#94718}
        #id: 47549
        #name: "IEEE 3128:2025"
        #slug: "ieee-3128-2025-ieee00010746-276877"
        #description: """
          New IEEE Standard - Active - Draft.<br />\n
          An evaluation framework for the intelligent capabilities of artificial intelligence (AI) dialogue systems such as chatbots, consulting terminals, or operation interfaces is established in this recommended practice. The recommended practice classifies the intelligent capabilities of AI dialogue system into three, as cognitive intelligence, emotional intelligence, and system completeness. For each class, the capabilities are subdivided into five intelligent levels, from the lowest Level 1 to the highest Level 5, with the performance criteria clarified at each level by an evaluation checklist.<br />\n
          \t\t\t\t<br />\n
          This recommended practice establishes an evaluation framework for the capabilities of artificial intelligence dialogue systems such as chatbots, consulting terminals, or operation interfaces. The recommended practice defines and classifies the types and levels of the intelligence capabilities according to a checklist of criteria. The checklist tables describe the criteria used to determine the level that a dialogue system achieves based on the analysis of behavior and performance.<br />\n
          This recommended practice provides a framework for the evaluation of AI applications in dialogue systems, where both industry and academia can achieve consensus on professional terms and definitions, and share a common understanding on test methods as well. This recommended practice can also be used as the test guide for AI dialogue systems in smart manufacturing and smart city construction.
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    #averageRating: 0.0
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  "layout" => "vertical"
  "showPrice" => true
  "showStatusBadges" => true
  "imageFilter" => "product_listing_thumbnail"
  "additionalClasses" => "h-100 border-0"
  "hasStretchedLink" => true
  "backgroundColor" => "white"
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]
Attributes 
[]
Component 
App\Twig\Components\ProductCard {#94753
  +product: App\Entity\Product\Product {#94718
    #id: 13135
    #code: "IEEE00010746"
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    #enabled: true
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      "en_US" => App\Entity\Product\ProductTranslation {#94900
        #locale: "en_US"
        #translatable: App\Entity\Product\Product {#94718}
        #id: 47549
        #name: "IEEE 3128:2025"
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        #description: """
          New IEEE Standard - Active - Draft.<br />\n
          An evaluation framework for the intelligent capabilities of artificial intelligence (AI) dialogue systems such as chatbots, consulting terminals, or operation interfaces is established in this recommended practice. The recommended practice classifies the intelligent capabilities of AI dialogue system into three, as cognitive intelligence, emotional intelligence, and system completeness. For each class, the capabilities are subdivided into five intelligent levels, from the lowest Level 1 to the highest Level 5, with the performance criteria clarified at each level by an evaluation checklist.<br />\n
          \t\t\t\t<br />\n
          This recommended practice establishes an evaluation framework for the capabilities of artificial intelligence dialogue systems such as chatbots, consulting terminals, or operation interfaces. The recommended practice defines and classifies the types and levels of the intelligence capabilities according to a checklist of criteria. The checklist tables describe the criteria used to determine the level that a dialogue system achieves based on the analysis of behavior and performance.<br />\n
          This recommended practice provides a framework for the evaluation of AI applications in dialogue systems, where both industry and academia can achieve consensus on professional terms and definitions, and share a common understanding on test methods as well. This recommended practice can also be used as the test guide for AI dialogue systems in smart manufacturing and smart city construction.
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        #metaKeywords: null
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    #currentTranslation: null
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    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#94803 …}
    #channels: Doctrine\ORM\PersistentCollection {#94797 …}
    #mainTaxon: App\Entity\Taxonomy\Taxon {#8840 …}
    #reviews: Doctrine\ORM\PersistentCollection {#94801 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#94799 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#94812 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#94811 …}
    -apiLastModifiedAt: DateTime @1754517600 {#94745
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    -author: ""
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    -releasedAt: null
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    -edition: null
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    -bookCollection: ""
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    -documents: Doctrine\ORM\PersistentCollection {#94809 …}
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  }
  +layout: "vertical"
  +showPrice: true
  +showStatusBadges: true
  +additionalClasses: "h-100 border-0"
  +linkLabel: ""
  +imageFilter: "product_listing_thumbnail"
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  +backgroundColor: "white"
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}
ProductState App\Twig\Components\ProductState 72.0 MiB 0.20 ms
Input props 
[
  "product" => App\Entity\Product\Product {#94718
    #id: 13135
    #code: "IEEE00010746"
    #attributes: Doctrine\ORM\PersistentCollection {#94795 …}
    #variants: Doctrine\ORM\PersistentCollection {#94793 …}
    #options: Doctrine\ORM\PersistentCollection {#94789 …}
    #associations: Doctrine\ORM\PersistentCollection {#94791 …}
    #createdAt: DateTime @1751040892 {#94725
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    #updatedAt: DateTime @1754607611 {#94735
      date: 2025-08-08 01:00:11.0 Europe/Paris (+02:00)
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    #enabled: true
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    #translationsCache: [
      "en_US" => App\Entity\Product\ProductTranslation {#94900
        #locale: "en_US"
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          New IEEE Standard - Active - Draft.<br />\n
          An evaluation framework for the intelligent capabilities of artificial intelligence (AI) dialogue systems such as chatbots, consulting terminals, or operation interfaces is established in this recommended practice. The recommended practice classifies the intelligent capabilities of AI dialogue system into three, as cognitive intelligence, emotional intelligence, and system completeness. For each class, the capabilities are subdivided into five intelligent levels, from the lowest Level 1 to the highest Level 5, with the performance criteria clarified at each level by an evaluation checklist.<br />\n
          \t\t\t\t<br />\n
          This recommended practice establishes an evaluation framework for the capabilities of artificial intelligence dialogue systems such as chatbots, consulting terminals, or operation interfaces. The recommended practice defines and classifies the types and levels of the intelligence capabilities according to a checklist of criteria. The checklist tables describe the criteria used to determine the level that a dialogue system achieves based on the analysis of behavior and performance.<br />\n
          This recommended practice provides a framework for the evaluation of AI applications in dialogue systems, where both industry and academia can achieve consensus on professional terms and definitions, and share a common understanding on test methods as well. This recommended practice can also be used as the test guide for AI dialogue systems in smart manufacturing and smart city construction.
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    #averageRating: 0.0
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    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#94812 …}
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Attributes 
[
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]
Component 
App\Twig\Components\ProductState {#94907
  +product: App\Entity\Product\Product {#94718
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          New IEEE Standard - Active - Draft.<br />\n
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          This recommended practice establishes an evaluation framework for the capabilities of artificial intelligence dialogue systems such as chatbots, consulting terminals, or operation interfaces. The recommended practice defines and classifies the types and levels of the intelligence capabilities according to a checklist of criteria. The checklist tables describe the criteria used to determine the level that a dialogue system achieves based on the analysis of behavior and performance.<br />\n
          This recommended practice provides a framework for the evaluation of AI applications in dialogue systems, where both industry and academia can achieve consensus on professional terms and definitions, and share a common understanding on test methods as well. This recommended practice can also be used as the test guide for AI dialogue systems in smart manufacturing and smart city construction.
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ProductMostRecent App\Twig\Components\ProductMostRecent 72.0 MiB 0.66 ms
Input props 
[
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          This recommended practice establishes an evaluation framework for the capabilities of artificial intelligence dialogue systems such as chatbots, consulting terminals, or operation interfaces. The recommended practice defines and classifies the types and levels of the intelligence capabilities according to a checklist of criteria. The checklist tables describe the criteria used to determine the level that a dialogue system achieves based on the analysis of behavior and performance.<br />\n
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Attributes 
[]
Component 
App\Twig\Components\ProductMostRecent {#95000
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          New IEEE Standard - Active - Draft.<br />\n
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          This recommended practice establishes an evaluation framework for the capabilities of artificial intelligence dialogue systems such as chatbots, consulting terminals, or operation interfaces. The recommended practice defines and classifies the types and levels of the intelligence capabilities according to a checklist of criteria. The checklist tables describe the criteria used to determine the level that a dialogue system achieves based on the analysis of behavior and performance.<br />\n
          This recommended practice provides a framework for the evaluation of AI applications in dialogue systems, where both industry and academia can achieve consensus on professional terms and definitions, and share a common understanding on test methods as well. This recommended practice can also be used as the test guide for AI dialogue systems in smart manufacturing and smart city construction.
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