Redirect 302 redirect from GET @sylius_shop_partial_cart_add_item (af9059)

GET https://dev.normadoc.fr/products/ieee-3129-2023-ieee00010747-244483

Response
200 OK
IP
216.73.216.2
Profiled on
Token
d4bfbb

Components

3 Twig Components
5 Render Count
6 ms Render Time
94.0 MiB Memory Usage

Components

Name Metadata Render Count Render Time
ProductState 
"App\Twig\Components\ProductState"
components/ProductState.html.twig 		2 2.71ms
ProductMostRecent 
"App\Twig\Components\ProductMostRecent"
components/ProductMostRecent.html.twig 		2 2.18ms
ProductType 
"App\Twig\Components\ProductType"
components/ProductType.html.twig 		1 0.64ms

Render calls

ProductState App\Twig\Components\ProductState 94.0 MiB 2.50 ms
Input props 
[
  "product" => App\Entity\Product\Product {#7273
    #id: 12827
    #code: "IEEE00010747"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040685 {#7306
      date: 2025-06-27 18:11:25.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1753970953 {#7322
      date: 2025-07-31 16:09:13.0 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 {#7273}
        #id: 46317
        #name: "IEEE 3129:2023"
        #slug: "ieee-3129-2023-ieee00010747-244483"
        #description: """
          New IEEE Standard - Active.<br />\n
          Test specifications with a set of indicators for common corruption and adversarial attacks, which can be used to evaluate the robustness of artificial intelligence-based image recognition services are provided in this standard. Robustness attack threats and establishes an assessment framework to evaluate the robustness of artificial intelligence-based image recognition service under various settings are also specified in this standard.<br />\n
          \t\t\t\t<br />\n
          This standard provides test specifications with a set of indicators for interference and adversarial attacks that can be used to evaluate the robustness of artificial intelligence (AI)-based image recognition services. This standard specifies robustness requirements and establishes an assessment framework to evaluate the robustness of AI-based image recognition services under various settings.<br />\n
          The purpose of this standard is to guide individuals and organizations who provide, develop, or use AI-based image recognition services in testing and evaluating these services and in improving the robustness of these services. It is also applicable to guide third-party evaluation laboratories to test and evaluate the robustness of the service by applying standards-based testing to score individual algorithmic implementations.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7272 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1743289200 {#7317
      date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
    }
    -lastUpdatedAt: DateTime @1687730400 {#7287
      date: 2023-06-26 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1685656800 {#7318
      date: 2023-06-02 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3129"
    -bookCollection: ""
    -pageCount: 34
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  "showFullLabel" => "true"
]
Attributes 
[
  "showFullLabel" => "true"
]
Component 
App\Twig\Components\ProductState {#92938
  +product: App\Entity\Product\Product {#7273
    #id: 12827
    #code: "IEEE00010747"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040685 {#7306
      date: 2025-06-27 18:11:25.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1753970953 {#7322
      date: 2025-07-31 16:09:13.0 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 {#7273}
        #id: 46317
        #name: "IEEE 3129:2023"
        #slug: "ieee-3129-2023-ieee00010747-244483"
        #description: """
          New IEEE Standard - Active.<br />\n
          Test specifications with a set of indicators for common corruption and adversarial attacks, which can be used to evaluate the robustness of artificial intelligence-based image recognition services are provided in this standard. Robustness attack threats and establishes an assessment framework to evaluate the robustness of artificial intelligence-based image recognition service under various settings are also specified in this standard.<br />\n
          \t\t\t\t<br />\n
          This standard provides test specifications with a set of indicators for interference and adversarial attacks that can be used to evaluate the robustness of artificial intelligence (AI)-based image recognition services. This standard specifies robustness requirements and establishes an assessment framework to evaluate the robustness of AI-based image recognition services under various settings.<br />\n
          The purpose of this standard is to guide individuals and organizations who provide, develop, or use AI-based image recognition services in testing and evaluating these services and in improving the robustness of these services. It is also applicable to guide third-party evaluation laboratories to test and evaluate the robustness of the service by applying standards-based testing to score individual algorithmic implementations.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7272 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1743289200 {#7317
      date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
    }
    -lastUpdatedAt: DateTime @1687730400 {#7287
      date: 2023-06-26 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1685656800 {#7318
      date: 2023-06-02 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3129"
    -bookCollection: ""
    -pageCount: 34
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  +appearance: "state-active"
  +labels: [
    "Active"
  ]
  -stateAttributeCode: "state"
  -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …}
}
ProductType App\Twig\Components\ProductType 94.0 MiB 0.64 ms
Input props 
[
  "product" => App\Entity\Product\Product {#7273
    #id: 12827
    #code: "IEEE00010747"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040685 {#7306
      date: 2025-06-27 18:11:25.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1753970953 {#7322
      date: 2025-07-31 16:09:13.0 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 {#7273}
        #id: 46317
        #name: "IEEE 3129:2023"
        #slug: "ieee-3129-2023-ieee00010747-244483"
        #description: """
          New IEEE Standard - Active.<br />\n
          Test specifications with a set of indicators for common corruption and adversarial attacks, which can be used to evaluate the robustness of artificial intelligence-based image recognition services are provided in this standard. Robustness attack threats and establishes an assessment framework to evaluate the robustness of artificial intelligence-based image recognition service under various settings are also specified in this standard.<br />\n
          \t\t\t\t<br />\n
          This standard provides test specifications with a set of indicators for interference and adversarial attacks that can be used to evaluate the robustness of artificial intelligence (AI)-based image recognition services. This standard specifies robustness requirements and establishes an assessment framework to evaluate the robustness of AI-based image recognition services under various settings.<br />\n
          The purpose of this standard is to guide individuals and organizations who provide, develop, or use AI-based image recognition services in testing and evaluating these services and in improving the robustness of these services. It is also applicable to guide third-party evaluation laboratories to test and evaluate the robustness of the service by applying standards-based testing to score individual algorithmic implementations.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7272 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1743289200 {#7317
      date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
    }
    -lastUpdatedAt: DateTime @1687730400 {#7287
      date: 2023-06-26 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1685656800 {#7318
      date: 2023-06-02 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3129"
    -bookCollection: ""
    -pageCount: 34
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
]
Attributes 
[]
Component 
App\Twig\Components\ProductType {#93109
  +product: App\Entity\Product\Product {#7273
    #id: 12827
    #code: "IEEE00010747"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040685 {#7306
      date: 2025-06-27 18:11:25.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1753970953 {#7322
      date: 2025-07-31 16:09:13.0 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 {#7273}
        #id: 46317
        #name: "IEEE 3129:2023"
        #slug: "ieee-3129-2023-ieee00010747-244483"
        #description: """
          New IEEE Standard - Active.<br />\n
          Test specifications with a set of indicators for common corruption and adversarial attacks, which can be used to evaluate the robustness of artificial intelligence-based image recognition services are provided in this standard. Robustness attack threats and establishes an assessment framework to evaluate the robustness of artificial intelligence-based image recognition service under various settings are also specified in this standard.<br />\n
          \t\t\t\t<br />\n
          This standard provides test specifications with a set of indicators for interference and adversarial attacks that can be used to evaluate the robustness of artificial intelligence (AI)-based image recognition services. This standard specifies robustness requirements and establishes an assessment framework to evaluate the robustness of AI-based image recognition services under various settings.<br />\n
          The purpose of this standard is to guide individuals and organizations who provide, develop, or use AI-based image recognition services in testing and evaluating these services and in improving the robustness of these services. It is also applicable to guide third-party evaluation laboratories to test and evaluate the robustness of the service by applying standards-based testing to score individual algorithmic implementations.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7272 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1743289200 {#7317
      date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
    }
    -lastUpdatedAt: DateTime @1687730400 {#7287
      date: 2023-06-26 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1685656800 {#7318
      date: 2023-06-02 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3129"
    -bookCollection: ""
    -pageCount: 34
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  +label: "Standard"
  -typeAttributeCode: "type"
  -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …}
}
ProductMostRecent App\Twig\Components\ProductMostRecent 94.0 MiB 1.35 ms
Input props 
[
  "product" => App\Entity\Product\Product {#7273
    #id: 12827
    #code: "IEEE00010747"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040685 {#7306
      date: 2025-06-27 18:11:25.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1753970953 {#7322
      date: 2025-07-31 16:09:13.0 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 {#7273}
        #id: 46317
        #name: "IEEE 3129:2023"
        #slug: "ieee-3129-2023-ieee00010747-244483"
        #description: """
          New IEEE Standard - Active.<br />\n
          Test specifications with a set of indicators for common corruption and adversarial attacks, which can be used to evaluate the robustness of artificial intelligence-based image recognition services are provided in this standard. Robustness attack threats and establishes an assessment framework to evaluate the robustness of artificial intelligence-based image recognition service under various settings are also specified in this standard.<br />\n
          \t\t\t\t<br />\n
          This standard provides test specifications with a set of indicators for interference and adversarial attacks that can be used to evaluate the robustness of artificial intelligence (AI)-based image recognition services. This standard specifies robustness requirements and establishes an assessment framework to evaluate the robustness of AI-based image recognition services under various settings.<br />\n
          The purpose of this standard is to guide individuals and organizations who provide, develop, or use AI-based image recognition services in testing and evaluating these services and in improving the robustness of these services. It is also applicable to guide third-party evaluation laboratories to test and evaluate the robustness of the service by applying standards-based testing to score individual algorithmic implementations.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7272 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1743289200 {#7317
      date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
    }
    -lastUpdatedAt: DateTime @1687730400 {#7287
      date: 2023-06-26 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1685656800 {#7318
      date: 2023-06-02 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3129"
    -bookCollection: ""
    -pageCount: 34
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
]
Attributes 
[]
Component 
App\Twig\Components\ProductMostRecent {#93184
  +product: App\Entity\Product\Product {#7273
    #id: 12827
    #code: "IEEE00010747"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040685 {#7306
      date: 2025-06-27 18:11:25.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1753970953 {#7322
      date: 2025-07-31 16:09:13.0 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 {#7273}
        #id: 46317
        #name: "IEEE 3129:2023"
        #slug: "ieee-3129-2023-ieee00010747-244483"
        #description: """
          New IEEE Standard - Active.<br />\n
          Test specifications with a set of indicators for common corruption and adversarial attacks, which can be used to evaluate the robustness of artificial intelligence-based image recognition services are provided in this standard. Robustness attack threats and establishes an assessment framework to evaluate the robustness of artificial intelligence-based image recognition service under various settings are also specified in this standard.<br />\n
          \t\t\t\t<br />\n
          This standard provides test specifications with a set of indicators for interference and adversarial attacks that can be used to evaluate the robustness of artificial intelligence (AI)-based image recognition services. This standard specifies robustness requirements and establishes an assessment framework to evaluate the robustness of AI-based image recognition services under various settings.<br />\n
          The purpose of this standard is to guide individuals and organizations who provide, develop, or use AI-based image recognition services in testing and evaluating these services and in improving the robustness of these services. It is also applicable to guide third-party evaluation laboratories to test and evaluate the robustness of the service by applying standards-based testing to score individual algorithmic implementations.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7272 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1743289200 {#7317
      date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
    }
    -lastUpdatedAt: DateTime @1687730400 {#7287
      date: 2023-06-26 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1685656800 {#7318
      date: 2023-06-02 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3129"
    -bookCollection: ""
    -pageCount: 34
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  +label: "Most Recent"
  +icon: "check-xs"
  -mostRecentAttributeCode: "most_recent"
  -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …}
}
ProductState App\Twig\Components\ProductState 94.0 MiB 0.22 ms
Input props 
[
  "product" => App\Entity\Product\Product {#7273
    #id: 12827
    #code: "IEEE00010747"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040685 {#7306
      date: 2025-06-27 18:11:25.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1753970953 {#7322
      date: 2025-07-31 16:09:13.0 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 {#7273}
        #id: 46317
        #name: "IEEE 3129:2023"
        #slug: "ieee-3129-2023-ieee00010747-244483"
        #description: """
          New IEEE Standard - Active.<br />\n
          Test specifications with a set of indicators for common corruption and adversarial attacks, which can be used to evaluate the robustness of artificial intelligence-based image recognition services are provided in this standard. Robustness attack threats and establishes an assessment framework to evaluate the robustness of artificial intelligence-based image recognition service under various settings are also specified in this standard.<br />\n
          \t\t\t\t<br />\n
          This standard provides test specifications with a set of indicators for interference and adversarial attacks that can be used to evaluate the robustness of artificial intelligence (AI)-based image recognition services. This standard specifies robustness requirements and establishes an assessment framework to evaluate the robustness of AI-based image recognition services under various settings.<br />\n
          The purpose of this standard is to guide individuals and organizations who provide, develop, or use AI-based image recognition services in testing and evaluating these services and in improving the robustness of these services. It is also applicable to guide third-party evaluation laboratories to test and evaluate the robustness of the service by applying standards-based testing to score individual algorithmic implementations.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7272 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1743289200 {#7317
      date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
    }
    -lastUpdatedAt: DateTime @1687730400 {#7287
      date: 2023-06-26 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1685656800 {#7318
      date: 2023-06-02 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3129"
    -bookCollection: ""
    -pageCount: 34
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  "showFullLabel" => "true"
]
Attributes 
[
  "showFullLabel" => "true"
]
Component 
App\Twig\Components\ProductState {#100112
  +product: App\Entity\Product\Product {#7273
    #id: 12827
    #code: "IEEE00010747"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040685 {#7306
      date: 2025-06-27 18:11:25.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1753970953 {#7322
      date: 2025-07-31 16:09:13.0 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 {#7273}
        #id: 46317
        #name: "IEEE 3129:2023"
        #slug: "ieee-3129-2023-ieee00010747-244483"
        #description: """
          New IEEE Standard - Active.<br />\n
          Test specifications with a set of indicators for common corruption and adversarial attacks, which can be used to evaluate the robustness of artificial intelligence-based image recognition services are provided in this standard. Robustness attack threats and establishes an assessment framework to evaluate the robustness of artificial intelligence-based image recognition service under various settings are also specified in this standard.<br />\n
          \t\t\t\t<br />\n
          This standard provides test specifications with a set of indicators for interference and adversarial attacks that can be used to evaluate the robustness of artificial intelligence (AI)-based image recognition services. This standard specifies robustness requirements and establishes an assessment framework to evaluate the robustness of AI-based image recognition services under various settings.<br />\n
          The purpose of this standard is to guide individuals and organizations who provide, develop, or use AI-based image recognition services in testing and evaluating these services and in improving the robustness of these services. It is also applicable to guide third-party evaluation laboratories to test and evaluate the robustness of the service by applying standards-based testing to score individual algorithmic implementations.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7272 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1743289200 {#7317
      date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
    }
    -lastUpdatedAt: DateTime @1687730400 {#7287
      date: 2023-06-26 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1685656800 {#7318
      date: 2023-06-02 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3129"
    -bookCollection: ""
    -pageCount: 34
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  +appearance: "state-active"
  +labels: [
    "Active"
  ]
  -stateAttributeCode: "state"
  -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …}
}
ProductMostRecent App\Twig\Components\ProductMostRecent 94.0 MiB 0.83 ms
Input props 
[
  "product" => App\Entity\Product\Product {#7273
    #id: 12827
    #code: "IEEE00010747"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040685 {#7306
      date: 2025-06-27 18:11:25.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1753970953 {#7322
      date: 2025-07-31 16:09:13.0 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 {#7273}
        #id: 46317
        #name: "IEEE 3129:2023"
        #slug: "ieee-3129-2023-ieee00010747-244483"
        #description: """
          New IEEE Standard - Active.<br />\n
          Test specifications with a set of indicators for common corruption and adversarial attacks, which can be used to evaluate the robustness of artificial intelligence-based image recognition services are provided in this standard. Robustness attack threats and establishes an assessment framework to evaluate the robustness of artificial intelligence-based image recognition service under various settings are also specified in this standard.<br />\n
          \t\t\t\t<br />\n
          This standard provides test specifications with a set of indicators for interference and adversarial attacks that can be used to evaluate the robustness of artificial intelligence (AI)-based image recognition services. This standard specifies robustness requirements and establishes an assessment framework to evaluate the robustness of AI-based image recognition services under various settings.<br />\n
          The purpose of this standard is to guide individuals and organizations who provide, develop, or use AI-based image recognition services in testing and evaluating these services and in improving the robustness of these services. It is also applicable to guide third-party evaluation laboratories to test and evaluate the robustness of the service by applying standards-based testing to score individual algorithmic implementations.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7272 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1743289200 {#7317
      date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
    }
    -lastUpdatedAt: DateTime @1687730400 {#7287
      date: 2023-06-26 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1685656800 {#7318
      date: 2023-06-02 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3129"
    -bookCollection: ""
    -pageCount: 34
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
]
Attributes 
[]
Component 
App\Twig\Components\ProductMostRecent {#100196
  +product: App\Entity\Product\Product {#7273
    #id: 12827
    #code: "IEEE00010747"
    #attributes: Doctrine\ORM\PersistentCollection {#7700 …}
    #variants: Doctrine\ORM\PersistentCollection {#7743 …}
    #options: Doctrine\ORM\PersistentCollection {#7915 …}
    #associations: Doctrine\ORM\PersistentCollection {#7899 …}
    #createdAt: DateTime @1751040685 {#7306
      date: 2025-06-27 18:11:25.0 Europe/Paris (+02:00)
    }
    #updatedAt: DateTime @1753970953 {#7322
      date: 2025-07-31 16:09:13.0 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 {#7273}
        #id: 46317
        #name: "IEEE 3129:2023"
        #slug: "ieee-3129-2023-ieee00010747-244483"
        #description: """
          New IEEE Standard - Active.<br />\n
          Test specifications with a set of indicators for common corruption and adversarial attacks, which can be used to evaluate the robustness of artificial intelligence-based image recognition services are provided in this standard. Robustness attack threats and establishes an assessment framework to evaluate the robustness of artificial intelligence-based image recognition service under various settings are also specified in this standard.<br />\n
          \t\t\t\t<br />\n
          This standard provides test specifications with a set of indicators for interference and adversarial attacks that can be used to evaluate the robustness of artificial intelligence (AI)-based image recognition services. This standard specifies robustness requirements and establishes an assessment framework to evaluate the robustness of AI-based image recognition services under various settings.<br />\n
          The purpose of this standard is to guide individuals and organizations who provide, develop, or use AI-based image recognition services in testing and evaluating these services and in improving the robustness of these services. It is also applicable to guide third-party evaluation laboratories to test and evaluate the robustness of the service by applying standards-based testing to score individual algorithmic implementations.
          """
        #metaKeywords: null
        #metaDescription: null
        #shortDescription: "IEEE Standard for Robustness Testing and Evaluation of Artificial Intelligence (AI)-based Image Recognition Service"
        -notes: "Active"
      }
    ]
    #currentLocale: "en_US"
    #currentTranslation: null
    #fallbackLocale: "en_US"
    #variantSelectionMethod: "match"
    #productTaxons: Doctrine\ORM\PersistentCollection {#7533 …}
    #channels: Doctrine\ORM\PersistentCollection {#7627 …}
    #mainTaxon: Proxies\__CG__\App\Entity\Taxonomy\Taxon {#7272 …}
    #reviews: Doctrine\ORM\PersistentCollection {#7612 …}
    #averageRating: 0.0
    #images: Doctrine\ORM\PersistentCollection {#7644 …}
    -supplier: Proxies\__CG__\App\Entity\Supplier\Supplier {#7325 …}
    -subscriptionCollections: Doctrine\ORM\PersistentCollection {#7389 …}
    -apiLastModifiedAt: DateTime @1743289200 {#7317
      date: 2025-03-30 00:00:00.0 Europe/Paris (+01:00)
    }
    -lastUpdatedAt: DateTime @1687730400 {#7287
      date: 2023-06-26 00:00:00.0 Europe/Paris (+02:00)
    }
    -author: ""
    -publishedAt: DateTime @1685656800 {#7318
      date: 2023-06-02 00:00:00.0 Europe/Paris (+02:00)
    }
    -releasedAt: null
    -confirmedAt: null
    -canceledAt: null
    -edition: null
    -coreDocument: "3129"
    -bookCollection: ""
    -pageCount: 34
    -documents: Doctrine\ORM\PersistentCollection {#7464 …}
    -favorites: Doctrine\ORM\PersistentCollection {#7499 …}
  }
  +label: "Most Recent"
  +icon: "check-xs"
  -mostRecentAttributeCode: "most_recent"
  -localeContext: Sylius\Component\Locale\Context\CompositeLocaleContext {#1833 …}
}