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\n \n \n\n\n\nSerde\nSerde is a framework for serializing and deserializing Rust data\nstructures efficiently and generically.\nThe Serde ecosystem consists of data structures that know how to serialize and\ndeserialize themselves along with data formats that know how to serialize and\ndeserialize other things. Serde provides the layer by which these two groups\ninteract with each other, allowing any supported data structure to be serialized\nand deserialized using any supported data format.\n\n\nDesign\nWhere many other languages rely on runtime reflection for serializing data,\nSerde is instead built on Rust's powerful trait system. A data structure that\nknows how to serialize and deserialize itself is one that implements Serde's\nSerialize and Deserialize traits (or uses Serde's derive attribute to\nautomatically generate implementations at compile time). This avoids any\noverhead of reflection or runtime type information. In fact in many situations\nthe interaction between data structure and data format can be completely\noptimized away by the Rust compiler, leaving Serde serialization to perform\nthe same speed as a handwritten serializer for the specific selection of data\nstructure and data format.\nData formats\nThe following is a partial list of data formats that have been implemented for\nSerde by the community.\n\nJSON, the ubiquitous JavaScript Object Notation used by many HTTP APIs.\nPostcard, a no_std and embedded-systems friendly compact binary format.\nCBOR, a Concise Binary Object Representation designed for small message size\nwithout the need for version negotiation.\nYAML, a self-proclaimed human-friendly configuration language that ain't\nmarkup language.\nMessagePack, an efficient binary format that resembles a compact JSON.\nTOML, a minimal configuration format used by Cargo.\nPickle, a format common in the Python world.\nRON, a Rusty Object Notation.\nBSON, the data storage and network transfer format used by MongoDB.\nAvro, a binary format used within Apache Hadoop, with support for schema\ndefinition.\nJSON5, a superset of JSON including some productions from ES5.\nURL query strings, in the x-www-form-urlencoded format.\nStarlark, the format used for describing build targets by the Bazel and Buck\nbuild systems. (serialization only)\nEnvy, a way to deserialize environment variables into Rust structs.\n(deserialization only)\nEnvy Store, a way to deserialize AWS Parameter Store parameters into Rust\nstructs. (deserialization only)\nS-expressions, the textual representation of code and data used by the Lisp\nlanguage family.\nD-Bus's binary wire format.\nFlexBuffers, the schemaless cousin of Google's FlatBuffers zero-copy\nserialization format.\nBencode, a simple binary format used in the BitTorrent protocol.\nToken streams, for processing Rust procedural macro input. (deserialization\nonly)\nDynamoDB Items, the format used by rusoto_dynamodb to transfer data to\nand from DynamoDB.\nHjson, a syntax extension to JSON designed around human reading and editing.\n(deserialization only)\nCSV, Comma-separated values is a tabular text file format.\n\nData structures\nOut of the box, Serde is able to serialize and deserialize common Rust data\ntypes in any of the above formats. For example String, &str, usize,\nVec, HashMap are all supported. In addition, Serde provides a derive\nmacro to generate serialization implementations for structs in your own program.\nUsing the derive macro goes like this:\nuse serde::{Serialize, Deserialize};\n\n#[derive(Serialize, Deserialize, Debug)]\nstruct Point {\n x: i32,\n y: i32,\n}\n\nfn main() {\n let point = Point { x: 1, y: 2 };\n\n // Convert the Point to a JSON string.\n let serialized = serde_json::to_string(&point).unwrap();\n\n // Prints serialized = {\"x\":1,\"y\":2}\n println!(\"serialized = {}\", serialized);\n\n // Convert the JSON string back to a Point.\n let deserialized: Point = serde_json::from_str(&serialized).unwrap();\n\n // Prints deserialized = Point { x: 1, y: 2 }\n println!(\"deserialized = {:?}\", deserialized);\n}\n\n"},"help.html":{"url":"help.html","title":"Help","keywords":"","body":"Getting help\nSerde is one of the most widely used Rust libraries so any place that Rustaceans\ncongregate will be able to help you out. For chat, consider trying the\n#rust-questions or #rust-beginners channels of the unofficial community\nDiscord (invite: https://discord.gg/rust-lang-community), the\n#rust-usage or #beginners channels of the official Rust Project Discord\n(invite: https://discord.gg/rust-lang), or the #general stream\nin Zulip. For asynchronous, consider the [rust] tag on\nStackOverflow, the /r/rust subreddit which has a pinned weekly\neasy questions post, or the Rust Discourse forum.\n"},"data-model.html":{"url":"data-model.html","title":"Serde data model","keywords":"","body":"Serde data model\nThe Serde data model is the API by which data structures and data formats\ninteract. You can think of it as Serde's type system.\nIn code, the serialization half of the Serde data model is defined by the\nSerializer trait and the deserialization half is defined by the\nDeserializer trait. These are a way of mapping every Rust data structure\ninto one of 29 possible types. Each method of the Serializer trait corresponds\nto one of the types of the data model.\nWhen serializing a data structure to some format, the Serialize\nimplementation for the data structure is responsible for mapping the data\nstructure into the Serde data model by invoking exactly one of the Serializer\nmethods, while the Serializer implementation for the data format is\nresponsible for mapping the Serde data model into the intended output\nrepresentation.\nWhen deserializing a data structure from some format, the Deserialize\nimplementation for the data structure is responsible for mapping the data\nstructure into the Serde data model by passing to the Deserializer a\nVisitor implementation that can receive the various types of the data model,\nwhile the Deserializer implementation for the data format is responsible for\nmapping the input data into the Serde data model by invoking exactly one of the\nVisitor methods.\nTypes\nThe Serde data model is a simplified form of Rust's type system. It consists of\nthe following 29 types:\n\n14 primitive types\nbool\ni8, i16, i32, i64, i128\nu8, u16, u32, u64, u128\nf32, f64\nchar\n\n\nstring\nUTF-8 bytes with a length and no null terminator. May contain 0-bytes.\nWhen serializing, all strings are handled equally. When deserializing, there\nare three flavors of strings: transient, owned, and borrowed. This\ndistinction is explained in Understanding deserializer lifetimes and is a\nkey way that Serde enabled efficient zero-copy deserialization.\n\n\nbyte array - [u8]\nSimilar to strings, during deserialization byte arrays can be transient,\nowned, or borrowed.\n\n\noption\nEither none or some value.\n\n\nunit\nThe type of () in Rust. It represents an anonymous value containing no\ndata.\n\n\nunit_struct\nFor example struct Unit or PhantomData. It represents a named value\ncontaining no data.\n\n\nunit_variant\nFor example the E::A and E::B in enum E { A, B }.\n\n\nnewtype_struct\nFor example struct Millimeters(u8).\n\n\nnewtype_variant\nFor example the E::N in enum E { N(u8) }.\n\n\nseq\nA variably sized heterogeneous sequence of values, for example Vec or\nHashSet. When serializing, the length may or may not be known before\niterating through all the data. When deserializing, the length is determined\nby looking at the serialized data. Note that a homogeneous Rust collection\nlike vec![Value::Bool(true), Value::Char('c')] may serialize as a\nheterogeneous Serde seq, in this case containing a Serde bool followed by a\nSerde char.\n\n\ntuple\nA statically sized heterogeneous sequence of values for which the length\nwill be known at deserialization time without looking at the serialized\ndata, for example (u8,) or (String, u64, Vec) or [u64; 10].\n\n\ntuple_struct\nA named tuple, for example struct Rgb(u8, u8, u8).\n\n\ntuple_variant\nFor example the E::T in enum E { T(u8, u8) }.\n\n\nmap\nA variably sized heterogeneous key-value pairing, for example BTreeMap. When serializing, the length may or may not be known before iterating\nthrough all the entries. When deserializing, the length is determined by\nlooking at the serialized data.\n\n\nstruct\nA statically sized heterogeneous key-value pairing in which the keys are\ncompile-time constant strings and will be known at deserialization time\nwithout looking at the serialized data, for example struct S { r: u8, g:\nu8, b: u8 }.\n\n\nstruct_variant\nFor example the E::S in enum E { S { r: u8, g: u8, b: u8 } }.\n\n\n\nMapping into the data model\nIn the case of most Rust types, their mapping into the Serde data model is\nstraightforward. For example the Rust bool type corresponds to Serde's bool\ntype. The Rust tuple struct Rgb(u8, u8, u8) corresponds to Serde's tuple\nstruct type.\nBut there is no fundamental reason that these mappings need to be\nstraightforward. The Serialize and Deserialize traits can perform any\nmapping between Rust type and Serde data model that is appropriate for the use\ncase.\nAs an example, consider Rust's std::ffi::OsString type. This type represents\na platform-native string. On Unix systems they are arbitrary non-zero bytes and\non Windows systems they are arbitrary non-zero 16-bit values. It may seem\nnatural to map OsString into the Serde data model as one of the following\ntypes:\n\nAs a Serde string. Unfortunately serialization would be brittle because an\nOsString is not guaranteed to be representable in UTF-8 and deserialization\nwould be brittle because Serde strings are allowed to contain 0-bytes.\nAs a Serde byte array. This fixes both problems with using string, but now\nif we serialize an OsString on Unix and deserialize it on Windows we end up\nwith the wrong string.\n\nInstead the Serialize and Deserialize impls for OsString map into the\nSerde data model by treating OsString as a Serde enum. Effectively it acts\nas though OsString were defined as the following type, even though this does\nnot match its definition on any individual platform.\nenum OsString {\n Unix(Vec),\n Windows(Vec),\n // and other platforms\n}\n\nThe flexibility around mapping into the Serde data model is profound and\npowerful. When implementing Serialize and Deserialize, be aware of the\nbroader context of your type that may make the most instinctive mapping not the\nbest choice.\n"},"derive.html":{"url":"derive.html","title":"Using derive","keywords":"","body":"Using derive\nSerde provides a derive macro to generate implementations of the Serialize and\nDeserialize traits for data structures defined in your crate, allowing them to\nbe represented conveniently in all of Serde's data formats.\nYou only need to set this up if your code is using #[derive(Serialize,\nDeserialize)].\nThis functionality is based on Rust's #[derive] mechanism, just like what you\nwould use to automatically derive implementations of the built-in Clone,\nCopy, Debug, or other traits. It is able to generate implementations for\nmost structs and enums including ones with elaborate generic types or trait\nbounds. On rare occasions, for an especially convoluted type you may need to\nimplement the traits manually.\nThese derives require a Rust compiler version 1.31 or newer.\n\nAdd serde = { version = \"1.0\", features = [\"derive\"] } as a dependency in\nCargo.toml.\nEnsure that all other Serde-based dependencies (for example serde_json) are on\na version that is compatible with serde 1.0.\nOn structs and enums that you want to serialize, import the derive macro as\nuse serde::Serialize; within the same module and write\n#[derive(Serialize)] on the struct or enum.\nSimilarly import use serde::Deserialize; and write #[derive(Deserialize)]\non structs and enums that you want to deserialize.\n\nHere is the Cargo.toml:\nCargo.toml\n[package]\nname = \"my-crate\"\nversion = \"0.1.0\"\nauthors = [\"Me \"]\n\n[dependencies]\nserde = { version = \"1.0\", features = [\"derive\"] }\n\n# serde_json is just for the example, not required in general\nserde_json = \"1.0\"\n\nNow the src/main.rs which uses Serde's custom derives:\nsrc/main.rs\nuse serde::{Serialize, Deserialize};\n\n#[derive(Serialize, Deserialize, Debug)]\nstruct Point {\n x: i32,\n y: i32,\n}\n\nfn main() {\n let point = Point { x: 1, y: 2 };\n\n let serialized = serde_json::to_string(&point).unwrap();\n println!(\"serialized = {}\", serialized);\n\n let deserialized: Point = serde_json::from_str(&serialized).unwrap();\n println!(\"deserialized = {:?}\", deserialized);\n}\n\nHere is the output:\n$ cargo run\nserialized = {\"x\":1,\"y\":2}\ndeserialized = Point { x: 1, y: 2 }\nTroubleshooting\nSometimes you may see compile-time errors that tell you:\nthe trait `serde::ser::Serialize` is not implemented for `...`\neven though the struct or enum clearly has #[derive(Serialize)] on it.\nThis almost always means that you are using libraries that depend on\nincompatible versions of Serde. You may be depending on serde 1.0 in your\nCargo.toml but using some other library that depends on serde 0.9. So the\nSerialize trait from serde 1.0 may be implemented, but the library expects an\nimplementation of the Serialize trait from serde 0.9. From the Rust compiler's\nperspective these are totally different traits.\nThe fix is to upgrade or downgrade libraries as appropriate until the Serde\nversions match. The cargo tree -d command is helpful for finding all the\nplaces that duplicate dependencies are being pulled in.\n"},"attributes.html":{"url":"attributes.html","title":"Attributes","keywords":"","body":"Attributes\nAttributes are used to customize the Serialize and Deserialize\nimplementations produced by Serde's derive. They require a Rust compiler version\n1.15 or newer.\nThere are three categories of attributes:\n\nContainer attributes — apply to a struct or enum declaration.\nVariant attributes — apply to a variant of an enum.\nField attributes — apply to one field in a struct or in an enum variant.\n\n#[derive(Serialize, Deserialize)]\n#[serde(deny_unknown_fields)] // \nNote that a single struct, enum, variant, or field may have multiple attributes\non it.\n"},"container-attrs.html":{"url":"container-attrs.html","title":"Container attributes","keywords":"","body":"Container attributes\n\n#[serde(rename = \"name\")] \nSerialize and deserialize this struct or enum with the given name instead of\nits Rust name.\nAllows specifying independent names for serialization vs deserialization:\n\n#[serde(rename(serialize = \"ser_name\"))]\n#[serde(rename(deserialize = \"de_name\"))]\n#[serde(rename(serialize = \"ser_name\", deserialize = \"de_name\"))]\n\n\n#[serde(rename_all = \"...\")] \nRename all the fields (if this is a struct) or variants (if this is an enum)\naccording to the given case convention. The possible values are \"lowercase\",\n\"UPPERCASE\", \"PascalCase\", \"camelCase\", \"snake_case\",\n\"SCREAMING_SNAKE_CASE\", \"kebab-case\", \"SCREAMING-KEBAB-CASE\".\nAllows specifying independent cases for serialization vs deserialization:\n\n#[serde(rename_all(serialize = \"...\"))]\n#[serde(rename_all(deserialize = \"...\"))]\n#[serde(rename_all(serialize = \"...\", deserialize = \"...\"))]\n\n\n#[serde(deny_unknown_fields)] \nAlways error during deserialization when encountering unknown fields. When\nthis attribute is not present, by default unknown fields are ignored for\nself-describing formats like JSON.\nNote: this attribute is not supported in combination with flatten,\nneither on the outer struct nor on the flattened field.\n\n\n\n#[serde(tag = \"type\")] \nOn an enum: Use the internally tagged enum representation, with the given tag.\nSee enum representations for details on this\nrepresentation.\nOn a struct with named fields: Serialize the struct's name (or value of\nserde(rename)) as a field with the given key, in front of all the real\nfields of the struct.\n\n#[serde(tag = \"t\", content = \"c\")] \nUse the adjacently tagged enum representation for this enum, with the given\nfield names for the tag and content. See enum\nrepresentations for details on this representation.\n\n#[serde(untagged)] \nUse the untagged enum representation for this enum. See enum\nrepresentations for details on this representation.\n\n#[serde(bound = \"T: MyTrait\")] \nWhere-clause for the Serialize and Deserialize impls. This replaces any\ntrait bounds inferred by Serde.\nAllows specifying independent bounds for serialization vs deserialization:\n\n#[serde(bound(serialize = \"T: MySerTrait\"))]\n#[serde(bound(deserialize = \"T: MyDeTrait\"))]\n#[serde(bound(serialize = \"T: MySerTrait\", deserialize = \"T: MyDeTrait\"))]\n\n\n#[serde(default)] \nWhen deserializing, any missing fields should be filled in from the struct's\nimplementation of Default. Only allowed on structs.\n\n#[serde(default = \"path\")] \nWhen deserializing, any missing fields should be filled in from the object\nreturned by the given function or method. The function must be callable as\nfn() -> T. For example default = \"my_default\" would invoke my_default()\nand default = \"SomeTrait::some_default\" would invoke\nSomeTrait::some_default(). Only allowed on structs.\n\n#[serde(remote = \"...\")] \nThis is used for deriving Serialize and Deserialize for remote\ntypes.\n\n#[serde(transparent)] \nSerialize and deserialize a newtype struct or a braced struct with one field\nexactly the same as if its one field were serialized and deserialized by\nitself. Analogous to #[repr(transparent)].\n\n#[serde(from = \"FromType\")] \nDeserialize this type by deserializing into FromType, then converting. This\ntype must implement From, and FromType must implement\nDeserialize.\n\n#[serde(try_from = \"FromType\")] \nDeserialize this type by deserializing into FromType, then converting\nfallibly. This type must implement TryFrom with an error type that\nimplements Display, and FromType must implement Deserialize.\n\n#[serde(into = \"IntoType\")] \nSerialize this type by converting it into the specified IntoType and\nserializing that. This type must implement Clone and Into, and\nIntoType must implement Serialize.\n\n#[serde(crate = \"...\")] \nSpecify a path to the serde crate instance to use when referring to Serde\nAPIs from generated code. This is normally only applicable when invoking\nre-exported Serde derives from a public macro in a different crate.\n\n#[serde(expecting = \"...\")] \nSpecify a custom type expectation text for deserialization error messages.\nThis is used by the generated expecting method for the container Visitor,\nand as a fallthrough error message for untagged enums.\n\n\n"},"variant-attrs.html":{"url":"variant-attrs.html","title":"Variant attributes","keywords":"","body":"Variant attributes\n\n#[serde(rename = \"name\")] \nSerialize and deserialize this variant with the given name instead of its Rust\nname.\nAllows specifying independent names for serialization vs deserialization:\n\n#[serde(rename(serialize = \"ser_name\"))]\n#[serde(rename(deserialize = \"de_name\"))]\n#[serde(rename(serialize = \"ser_name\", deserialize = \"de_name\"))]\n\n\n#[serde(alias = \"name\")] \nDeserialize this variant from the given name or from its Rust name. May be\nrepeated to specify multiple possible names for the same variant.\n\n#[serde(rename_all = \"...\")] \nRename all the fields of this struct variant according to the given case\nconvention. The possible values are \"lowercase\", \"UPPERCASE\",\n\"PascalCase\", \"camelCase\", \"snake_case\", \"SCREAMING_SNAKE_CASE\",\n\"kebab-case\", \"SCREAMING-KEBAB-CASE\".\nAllows specifying independent cases for serialization vs deserialization:\n\n#[serde(rename_all(serialize = \"...\"))]\n#[serde(rename_all(deserialize = \"...\"))]\n#[serde(rename_all(serialize = \"...\", deserialize = \"...\"))]\n\n\n#[serde(skip)] \nNever serialize or deserialize this variant.\n\n#[serde(skip_serializing)] \nNever serialize this variant. Trying to serialize this variant is treated as\nan error.\n\n#[serde(skip_deserializing)] \nNever deserialize this variant.\n\n#[serde(serialize_with = \"path\")] \nSerialize this variant using a function that is different from its\nimplementation of Serialize. The given function must be callable as\nfn(&FIELD0, &FIELD1, ..., S) -> Result where S:\nSerializer, although it may also be generic over the FIELD{n} types.\nVariants used with serialize_with are not required to be able to derive\nSerialize.\nFIELD{n} exists for every field of the variant. So a unit variant has just\nthe S argument, and tuple/struct variants have an argument for every field.\n\n#[serde(deserialize_with = \"path\")] \nDeserialize this variant using a function that is different from its\nimplementation of Deserialize. The given function must be callable as\nfn(D) -> Result where D: Deserializer,\nalthough it may also be generic over the elements of FIELDS. Variants used\nwith deserialize_with are not required be able to derive Deserialize.\nFIELDS is a tuple of all fields of the variant. A unit variant will have\n() as its FIELDS type.\n\n#[serde(with = \"module\")] \nCombination of serialize_with and deserialize_with. Serde will use\n$module::serialize as the serialize_with function and\n$module::deserialize as the deserialize_with function.\n\n#[serde(bound = \"T: MyTrait\")] \nWhere-clause for the Serialize and/or Deserialize impls. This replaces any\ntrait bounds inferred by Serde for the current variant.\nAllows specifying independent bounds for serialization vs deserialization:\n\n#[serde(bound(serialize = \"T: MySerTrait\"))]\n#[serde(bound(deserialize = \"T: MyDeTrait\"))]\n#[serde(bound(serialize = \"T: MySerTrait\", deserialize = \"T: MyDeTrait\"))]\n\n\n#[serde(borrow)] and #[serde(borrow = \"'a + 'b + ...\")] \nBorrow data for this field from the deserializer by using zero-copy\ndeserialization. See this example.\nOnly allowed on a newtype variant (a tuple variant with only one field).\n\n#[serde(other)] \nDeserialize this variant if the enum tag is anything other than the tag of one\nof the other variants in this enum. Only allowed on a unit variant inside of\nan internally tagged or adjacently tagged enum.\nFor example if we have an internally tagged enum with serde(tag = \"variant\")\ncontaining variants A, B, and Unknown marked serde(other), the\nUnknown variant would be deserialized any time the \"variant\" field of the\ninput is neither \"A\" nor \"B\".\n\n\n"},"field-attrs.html":{"url":"field-attrs.html","title":"Field attributes","keywords":"","body":"Field attributes\n\n#[serde(rename = \"name\")] \nSerialize and deserialize this field with the given name instead of its Rust\nname. This is useful for serializing fields as camelCase or\nserializing fields with names that are reserved Rust keywords.\nAllows specifying independent names for serialization vs deserialization:\n\n#[serde(rename(serialize = \"ser_name\"))]\n#[serde(rename(deserialize = \"de_name\"))]\n#[serde(rename(serialize = \"ser_name\", deserialize = \"de_name\"))]\n\n\n#[serde(alias = \"name\")] \nDeserialize this field from the given name or from its Rust name. May be\nrepeated to specify multiple possible names for the same field.\n\n#[serde(default)] \nIf the value is not present when deserializing, use the Default::default().\n\n#[serde(default = \"path\")] \nIf the value is not present when deserializing, call a function to get a\ndefault value. The given function must be callable as fn() -> T. For example\ndefault = \"empty_value\" would invoke empty_value() and default =\n\"SomeTrait::some_default\" would invoke SomeTrait::some_default().\n\n#[serde(flatten)] \nFlatten the contents of this field into the container it is defined in.\nThis removes one level of structure between the serialized representation and\nthe Rust data structure representation. It can be used for factoring common\nkeys into a shared structure, or for capturing remaining fields into a map\nwith arbitrary string keys. The struct flattening page\nprovides some examples.\nNote: this attribute is not supported in combination with structs that use\ndeny_unknown_fields. Neither the outer nor inner flattened struct should\nuse that attribute.\n\n\n\n#[serde(skip)] \nSkip this field: do not serialize or deserialize it.\nWhen deserializing, Serde will use Default::default() or the function\ngiven by default = \"...\" to get a default value for this field.\n\n#[serde(skip_serializing)] \nSkip this field when serializing, but not when deserializing.\n\n#[serde(skip_deserializing)] \nSkip this field when deserializing, but not when serializing.\nWhen deserializing, Serde will use Default::default() or the function\ngiven by default = \"...\" to get a default value for this field.\n\n#[serde(skip_serializing_if = \"path\")] \nCall a function to determine whether to skip serializing this field. The given\nfunction must be callable as fn(&T) -> bool, although it may be generic over\nT. For example skip_serializing_if = \"Option::is_none\" would skip an\nOption that is None.\n\n#[serde(serialize_with = \"path\")] \nSerialize this field using a function that is different from its\nimplementation of Serialize. The given function must be callable as\nfn(&T, S) -> Result where S: Serializer, although it\nmay also be generic over T. Fields used with serialize_with are not\nrequired to implement Serialize.\n\n#[serde(deserialize_with = \"path\")] \nDeserialize this field using a function that is different from its\nimplementation of Deserialize. The given function must be callable as\nfn(D) -> Result where D: Deserializer, although it\nmay also be generic over T. Fields used with deserialize_with are not\nrequired to implement Deserialize.\n\n#[serde(with = \"module\")] \nCombination of serialize_with and deserialize_with. Serde will use\n$module::serialize as the serialize_with function and\n$module::deserialize as the deserialize_with function.\n\n#[serde(borrow)] and #[serde(borrow = \"'a + 'b + ...\")] \nBorrow data for this field from the deserializer by using zero-copy\ndeserialization. See this example.\n\n#[serde(bound = \"T: MyTrait\")] \nWhere-clause for the Serialize and Deserialize impls. This replaces any\ntrait bounds inferred by Serde for the current field.\nAllows specifying independent bounds for serialization vs deserialization:\n\n#[serde(bound(serialize = \"T: MySerTrait\"))]\n#[serde(bound(deserialize = \"T: MyDeTrait\"))]\n#[serde(bound(serialize = \"T: MySerTrait\", deserialize = \"T: MyDeTrait\"))]\n\n\n#[serde(getter = \"...\")] \nThis is used when deriving Serialize for a remote type\nthat has one or more private fields.\n\n\n"},"custom-serialization.html":{"url":"custom-serialization.html","title":"Custom serialization","keywords":"","body":"Custom serialization\nSerde's derive macro through #[derive(Serialize, Deserialize)]\nprovides reasonable default serialization behavior for structs and enums and it\ncan be customized to some extent using attributes. For unusual\nneeds, Serde allows full customization of the serialization behavior by manually\nimplementing Serialize and Deserialize traits for your type.\nThe traits each have a single method:\npub trait Serialize {\n fn serialize(&self, serializer: S) -> Result\n where\n S: Serializer;\n}\n\npub trait Deserialize: Sized {\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer;\n}\n\nThese methods are generic over the serialization format, represented by the\nSerializer and Deserializer traits. For example there is one Serializer\ntype for JSON and a different one for Postcard.\n\nImplementing Serialize\nImplementing Deserialize\n\n"},"impl-serialize.html":{"url":"impl-serialize.html","title":"Implementing Serialize","keywords":"","body":"Implementing Serialize\nThe Serialize trait looks like this:\npub trait Serialize {\n fn serialize(&self, serializer: S) -> Result\n where\n S: Serializer;\n}\n\nThis method's job is to take your type (&self) and map it into the Serde data\nmodel by invoking exactly one of the methods on the given Serializer.\nIn most cases Serde's derive is able to generate an appropriate implementation\nof Serialize for structs and enums defined in your crate. Should you need to\ncustomize the serialization behavior for a type in a way that derive does not\nsupport, you can implement Serialize yourself.\nSerializing a primitive\nAs the simplest example, here is the builtin Serialize impl for the primitive\ni32.\nimpl Serialize for i32 {\n fn serialize(&self, serializer: S) -> Result\n where\n S: Serializer,\n {\n serializer.serialize_i32(*self)\n }\n}\n\nSerde provides such impls for all of Rust's primitive types so you are not\nresponsible for implementing them yourself, but serialize_i32 and similar\nmethods may be useful if you have a type that needs to be represented as a\nprimitive in its serialized form. For example you could serialize a C-like enum\nas a primitive number.\nSerializing a sequence or map\nCompound types follow a three-step process of init, elements, end.\nuse serde::ser::{Serialize, Serializer, SerializeSeq, SerializeMap};\n\nimpl Serialize for Vec\nwhere\n T: Serialize,\n{\n fn serialize(&self, serializer: S) -> Result\n where\n S: Serializer,\n {\n let mut seq = serializer.serialize_seq(Some(self.len()))?;\n for e in self {\n seq.serialize_element(e)?;\n }\n seq.end()\n }\n}\n\nimpl Serialize for MyMap\nwhere\n K: Serialize,\n V: Serialize,\n{\n fn serialize(&self, serializer: S) -> Result\n where\n S: Serializer,\n {\n let mut map = serializer.serialize_map(Some(self.len()))?;\n for (k, v) in self {\n map.serialize_entry(k, v)?;\n }\n map.end()\n }\n}\n\nSerializing a tuple\nThe serialize_tuple method is a lot like serialize_seq. The distinction\nSerde makes is that serialize_tuple is for sequences where the length does not\nneed to be serialized because it will be known at deserialization time. The\nusual examples are Rust tuples and arrays. In non-self-describing formats a\nVec needs to be serialized with its length in order to be able to\ndeserialize a Vec back out. But a [T; 16] can be serialized using\nserialize_tuple because the length will be known at deserialization time\nwithout looking at the serialized bytes.\nSerializing a struct\nSerde distinguishes between four types of structs. Ordinary structs and tuple\nstructs follow the three-step process of init, elements, end just like a\nsequence or map. Newtype structs and unit structs are more like primitives.\n// An ordinary struct. Use three-step process:\n// 1. serialize_struct\n// 2. serialize_field\n// 3. end\nstruct Color {\n r: u8,\n g: u8,\n b: u8,\n}\n\n// A tuple struct. Use three-step process:\n// 1. serialize_tuple_struct\n// 2. serialize_field\n// 3. end\nstruct Point2D(f64, f64);\n\n// A newtype struct. Use serialize_newtype_struct.\nstruct Inches(u64);\n\n// A unit struct. Use serialize_unit_struct.\nstruct Instance;\n\nStructs and maps may look similar in some formats, including JSON. The\ndistinction Serde makes is that structs have keys that are compile-time constant\nstrings and will be known at deserialization time without looking at the\nserialized data. This condition enables some data formats to handle structs much\nmore efficiently and compactly than maps.\nData formats are encouraged to treat newtype structs as insignificant wrappers\naround the inner value, serializing just the inner value. See for example\nJSON's treatment of newtype structs.\nuse serde::ser::{Serialize, Serializer, SerializeStruct};\n\nstruct Color {\n r: u8,\n g: u8,\n b: u8,\n}\n\nimpl Serialize for Color {\n fn serialize(&self, serializer: S) -> Result\n where\n S: Serializer,\n {\n // 3 is the number of fields in the struct.\n let mut state = serializer.serialize_struct(\"Color\", 3)?;\n state.serialize_field(\"r\", &self.r)?;\n state.serialize_field(\"g\", &self.g)?;\n state.serialize_field(\"b\", &self.b)?;\n state.end()\n }\n}\n\nSerializing an enum\nSerializing enum variants is very similar to serializing structs.\nenum E {\n // Use three-step process:\n // 1. serialize_struct_variant\n // 2. serialize_field\n // 3. end\n Color { r: u8, g: u8, b: u8 },\n\n // Use three-step process:\n // 1. serialize_tuple_variant\n // 2. serialize_field\n // 3. end\n Point2D(f64, f64),\n\n // Use serialize_newtype_variant.\n Inches(u64),\n\n // Use serialize_unit_variant.\n Instance,\n}\n\nOther special cases\nThere are two more special cases that are part of the Serializer trait.\nThere is a method serialize_bytes which serializes a &[u8]. Some formats\ntreat bytes like any other seq, but some formats are able to serialize bytes\nmore compactly. Currently Serde does not use serialize_bytes in the\nSerialize impl for &[u8] or Vec but once specialization lands in\nstable Rust we will begin using it. For now the serde_bytes crate can be\nused to enable efficient handling of &[u8] and Vec through\nserialize_bytes.\nFinally, serialize_some and serialize_none correspond to Option::Some and\nOption::None. Users tend to have different expectations around the Option\nenum compared to other enums. Serde JSON will serialize Option::None as null\nand Option::Some as just the contained value.\n"},"impl-deserialize.html":{"url":"impl-deserialize.html","title":"Implementing Deserialize","keywords":"","body":"Implementing Deserialize\nThe Deserialize trait looks like this:\npub trait Deserialize: Sized {\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer;\n}\n\nThis method's job is to map the type into the Serde data model by providing\nthe Deserializer with a Visitor that can be driven by the Deserializer\nto construct an instance of your type.\nIn most cases Serde's derive is able to generate an appropriate implementation\nof Deserialize for structs and enums defined in your crate. Should you need to\ncustomize the deserialization behavior for a type in a way that derive does not\nsupport, you can implement Deserialize yourself. Implementing Deserialize\nfor a type tends to be more complicated than implementing Serialize.\nThe Deserializer trait supports two entry point styles which enables different\nkinds of deserialization.\n\nThe deserialize_any method. Self-describing data formats like JSON are able\nto look at the serialized data and tell what it represents. For example the\nJSON deserializer may see an opening curly brace ({) and know that it is\nseeing a map. If the data format supports Deserializer::deserialize_any, it\nwill drive the Visitor using whatever type it sees in the input. JSON uses\nthis approach when deserializing serde_json::Value which is an enum that\ncan represent any JSON document. Without knowing what is in a JSON document,\nwe can deserialize it to serde_json::Value by going through\nDeserializer::deserialize_any.\n\nThe various other deserialize_* methods. Non-self-describing formats like\nPostcard need to be told what is in the input in order to deserialize it. The\ndeserialize_* methods are hints to the deserializer for how to interpret\nthe next piece of input. Non-self-describing formats are not able to\ndeserialize something like serde_json::Value which relies on\nDeserializer::deserialize_any.\n\n\nWhen implementing Deserialize, you should avoid relying on\nDeserializer::deserialize_any unless you need to be told by the Deserializer\nwhat type is in the input. Know that relying on Deserializer::deserialize_any\nmeans your data type will be able to deserialize from self-describing formats\nonly, ruling out Postcard and many others.\nThe Visitor trait\nA Visitor is instantiated by a Deserialize impl and passed to a\nDeserializer. The Deserializer then calls a method on the Visitor in order\nto construct the desired type.\nHere is a Visitor that is able to deserialize a primitive i32 from a variety\nof types.\nuse std::fmt;\n\nuse serde::de::{self, Visitor};\n\nstruct I32Visitor;\n\nimpl Visitor for I32Visitor {\n type Value = i32;\n\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n formatter.write_str(\"an integer between -2^31 and 2^31\")\n }\n\n fn visit_i8(self, value: i8) -> Result\n where\n E: de::Error,\n {\n Ok(i32::from(value))\n }\n\n fn visit_i32(self, value: i32) -> Result\n where\n E: de::Error,\n {\n Ok(value)\n }\n\n fn visit_i64(self, value: i64) -> Result\n where\n E: de::Error,\n {\n use std::i32;\n if value >= i64::from(i32::MIN) && value \nThe Visitor trait has lots more methods that are not implemented for\nI32Visitor. Leaving them unimplemented means a type error is returned if\nthey get called. For example I32Visitor does not implement\nVisitor::visit_map, so trying to deserialize an i32 when the input contains a\nmap is a type error.\nDriving a Visitor\nDeserialize a value by passing a Visitor to the given Deserializer. The\nDeserializer will call one of the Visitor methods depending on the input\ndata, which is known as \"driving\" the Visitor.\nimpl Deserialize for i32 {\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer,\n {\n deserializer.deserialize_i32(I32Visitor)\n }\n}\n\nNote that a Deserializer will not necessarily follow the type hint, so the\ncall to deserialize_i32 does not necessarily mean the Deserializer will call\nI32Visitor::visit_i32. For example JSON treats all signed integer types alike.\nThe JSON Deserializer will call visit_i64 for any signed integer and\nvisit_u64 for any unsigned integer, even if hinted a different type.\nOther examples\n\nDeserializing a map\nDeserializing a struct\n\n"},"unit-testing.html":{"url":"unit-testing.html","title":"Unit testing","keywords":"","body":"Unit testing\nThe serde_test crate provides a convenient\nconcise way to write unit tests for implementations of Serialize and\nDeserialize.\nThe Serialize impl for a value can be characterized by the sequence of\nSerializer calls\nthat are made in the course of serializing the value, so serde_test provides a\nToken abstraction\nwhich corresponds roughly to Serializer method calls. It provides an\nassert_ser_tokens function to test that a value serializes into a particular\nsequence of method calls, an assert_de_tokens function to test that a value\ncan be deserialized from a particular sequence of method calls, and an\nassert_tokens function to test both directions. It also provides functions to\ntest expected failure conditions.\nHere is an example from the\nlinked-hash-map crate.\nuse linked_hash_map::LinkedHashMap;\nuse serde_test::{Token, assert_tokens};\n\n#[test]\nfn test_ser_de_empty() {\n let map = LinkedHashMap::::new();\n\n assert_tokens(&map, &[\n Token::Map { len: Some(0) },\n Token::MapEnd,\n ]);\n}\n\n#[test]\nfn test_ser_de() {\n let mut map = LinkedHashMap::new();\n map.insert('b', 20);\n map.insert('a', 10);\n map.insert('c', 30);\n\n assert_tokens(&map, &[\n Token::Map { len: Some(3) },\n Token::Char('b'),\n Token::I32(20),\n\n Token::Char('a'),\n Token::I32(10),\n\n Token::Char('c'),\n Token::I32(30),\n Token::MapEnd,\n ]);\n}\n\n"},"data-format.html":{"url":"data-format.html","title":"Writing a data format","keywords":"","body":"Writing a data format\nThe most important thing to understand before writing a data format is that\nSerde is not a parsing library. Nothing in Serde is going to help you parse\nwhatever format you are implementing. The role of Serde is very specific:\n\nSerialization — taking arbitrary data structures from the user and\nrendering them in the format with maximum efficiency.\nDeserialization — interpreting the data that you parse into data\nstructures of the user's choice with maximum efficiency.\n\nParsing is neither of these things and you will either be writing parsing code\nfrom scratch or using a parsing library to implement your Deserializer.\nThe second most important thing to understand is the Serde data model.\nThe following pages walk through a basic but functional JSON serializer and\ndeserializer implemented using Serde.\n\nConventions for what to export at the root of the crate\nSerde error traits and error handling\nImplementing a Serializer\nImplementing a Deserializer\n\nYou can find these four source files all together as a buildable crate in this\nGitHub repository.\n"},"conventions.html":{"url":"conventions.html","title":"Conventions","keywords":"","body":"Conventions\nBy convention a Serde data format crate provides the following in the root\nmodule or re-exported from the root module:\n\nAn Error type common to both serialization and deserialization.\nA Result typedef which is equivalent to std::result::Result.\nA Serializer type which implements serde::Serializer.\nA Deserializer type which implements serde::Deserializer.\nOne or more to_abc functions depending on what types the format supports\nserializing to. For example to_string which returns a String, to_bytes which\nreturns a Vec, or to_writer which writes into an io::Write.\nOne or more from_xyz functions depending on what types the format supports\ndeserializing from. For example from_str which takes a &str, from_bytes\nwhich takes a &[u8], or from_reader which takes an io::Read.\n\nIn addition, formats that provide serialization-specific or\ndeserialization-specific APIs beyond Serializer and Deserializer should expose\nthose under top-level ser and de modules. For example serde_json provides a\npluggable pretty-printer trait as serde_json::ser::Formatter.\nA basic data format begins like this. The three modules are discussed in more\ndetail on the following pages.\nsrc/lib.rs\nmod de;\nmod error;\nmod ser;\n\npub use de::{from_str, Deserializer};\npub use error::{Error, Result};\npub use ser::{to_string, Serializer};\n\n"},"error-handling.html":{"url":"error-handling.html","title":"Error handling","keywords":"","body":"Error handling\nDuring serialization, the Serialize trait maps a Rust data structure into\nSerde's data model and the Serializer trait maps the data model into the\noutput format. During deserialization, the Deserializer maps the input data\ninto Serde's data model and the Deserialize and Visitor traits map the\ndata model into the resulting data structure. Any of these steps can fail.\n\nSerialize can fail, for example when a Mutex is being serialized and\nthe mutex happens to be poisoned.\nSerializer can fail, for example the Serde data model allows maps with\nnon-string keys but JSON does not.\nDeserializer can fail, especially if the input data is syntactically\ninvalid.\nDeserialize can fail, usually because the input is the wrong type for the\nvalue it is being deserialized into.\n\nIn Serde, errors from the Serializer and Deserializer work just like they\nwould in any other Rust library. The crate defines an error type, public\nfunctions return a Result with that error type, and there are variants for the\nvarious possible failure modes.\nHandling of errors from the Serialize and Deserialize, the data structure\nbeing processed by the library, is built around the ser::Error and\nde::Error traits. These traits allow the data format to expose constructors\nfor its error type for the data structure to use in various situations.\nsrc/error.rs\nuse std;\nuse std::fmt::{self, Display};\n\nuse serde::{de, ser};\n\npub type Result = std::result::Result;\n\n// This is a bare-bones implementation. A real library would provide additional\n// information in its error type, for example the line and column at which the\n// error occurred, the byte offset into the input, or the current key being\n// processed.\n#[derive(Debug)]\npub enum Error {\n // One or more variants that can be created by data structures through the\n // `ser::Error` and `de::Error` traits. For example the Serialize impl for\n // Mutex might return an error because the mutex is poisoned, or the\n // Deserialize impl for a struct may return an error because a required\n // field is missing.\n Message(String),\n\n // Zero or more variants that can be created directly by the Serializer and\n // Deserializer without going through `ser::Error` and `de::Error`. These\n // are specific to the format, in this case JSON.\n Eof,\n Syntax,\n ExpectedBoolean,\n ExpectedInteger,\n ExpectedString,\n ExpectedNull,\n ExpectedArray,\n ExpectedArrayComma,\n ExpectedArrayEnd,\n ExpectedMap,\n ExpectedMapColon,\n ExpectedMapComma,\n ExpectedMapEnd,\n ExpectedEnum,\n TrailingCharacters,\n}\n\nimpl ser::Error for Error {\n fn custom(msg: T) -> Self {\n Error::Message(msg.to_string())\n }\n}\n\nimpl de::Error for Error {\n fn custom(msg: T) -> Self {\n Error::Message(msg.to_string())\n }\n}\n\nimpl Display for Error {\n fn fmt(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n match self {\n Error::Message(msg) => formatter.write_str(msg),\n Error::Eof => formatter.write_str(\"unexpected end of input\"),\n /* and so forth */\n }\n }\n}\n\nimpl std::error::Error for Error {}\n\n"},"impl-serializer.html":{"url":"impl-serializer.html","title":"Implementing a Serializer","keywords":"","body":"Implementing a Serializer\nThis page gives a basic but functional implementation of a JSON serializer using\nSerde.\nThe Serializer trait has a lot of methods but none of the ones in this\nimplementation are complicated. Each method corresponds to one of the types of\nthe Serde data model. The serializer is responsible for mapping the data model\ninto the output representation, in this case JSON.\nRefer to the rustdoc of the Serializer trait for examples of how each method\nis used.\nsrc/ser.rs\nuse serde::{ser, Serialize};\n\nuse error::{Error, Result};\n\npub struct Serializer {\n // This string starts empty and JSON is appended as values are serialized.\n output: String,\n}\n\n// By convention, the public API of a Serde serializer is one or more `to_abc`\n// functions such as `to_string`, `to_bytes`, or `to_writer` depending on what\n// Rust types the serializer is able to produce as output.\n//\n// This basic serializer supports only `to_string`.\npub fn to_string(value: &T) -> Result\nwhere\n T: Serialize,\n{\n let mut serializer = Serializer {\n output: String::new(),\n };\n value.serialize(&mut serializer)?;\n Ok(serializer.output)\n}\n\nimpl ser::Serializer for &'a mut Serializer {\n // The output type produced by this `Serializer` during successful\n // serialization. Most serializers that produce text or binary output should\n // set `Ok = ()` and serialize into an `io::Write` or buffer contained\n // within the `Serializer` instance, as happens here. Serializers that build\n // in-memory data structures may be simplified by using `Ok` to propagate\n // the data structure around.\n type Ok = ();\n\n // The error type when some error occurs during serialization.\n type Error = Error;\n\n // Associated types for keeping track of additional state while serializing\n // compound data structures like sequences and maps. In this case no\n // additional state is required beyond what is already stored in the\n // Serializer struct.\n type SerializeSeq = Self;\n type SerializeTuple = Self;\n type SerializeTupleStruct = Self;\n type SerializeTupleVariant = Self;\n type SerializeMap = Self;\n type SerializeStruct = Self;\n type SerializeStructVariant = Self;\n\n // Here we go with the simple methods. The following 12 methods receive one\n // of the primitive types of the data model and map it to JSON by appending\n // into the output string.\n fn serialize_bool(self, v: bool) -> Result {\n self.output += if v { \"true\" } else { \"false\" };\n Ok(())\n }\n\n // JSON does not distinguish between different sizes of integers, so all\n // signed integers will be serialized the same and all unsigned integers\n // will be serialized the same. Other formats, especially compact binary\n // formats, may need independent logic for the different sizes.\n fn serialize_i8(self, v: i8) -> Result {\n self.serialize_i64(i64::from(v))\n }\n\n fn serialize_i16(self, v: i16) -> Result {\n self.serialize_i64(i64::from(v))\n }\n\n fn serialize_i32(self, v: i32) -> Result {\n self.serialize_i64(i64::from(v))\n }\n\n // Not particularly efficient but this is example code anyway. A more\n // performant approach would be to use the `itoa` crate.\n fn serialize_i64(self, v: i64) -> Result {\n self.output += &v.to_string();\n Ok(())\n }\n\n fn serialize_u8(self, v: u8) -> Result {\n self.serialize_u64(u64::from(v))\n }\n\n fn serialize_u16(self, v: u16) -> Result {\n self.serialize_u64(u64::from(v))\n }\n\n fn serialize_u32(self, v: u32) -> Result {\n self.serialize_u64(u64::from(v))\n }\n\n fn serialize_u64(self, v: u64) -> Result {\n self.output += &v.to_string();\n Ok(())\n }\n\n fn serialize_f32(self, v: f32) -> Result {\n self.serialize_f64(f64::from(v))\n }\n\n fn serialize_f64(self, v: f64) -> Result {\n self.output += &v.to_string();\n Ok(())\n }\n\n // Serialize a char as a single-character string. Other formats may\n // represent this differently.\n fn serialize_char(self, v: char) -> Result {\n self.serialize_str(&v.to_string())\n }\n\n // This only works for strings that don't require escape sequences but you\n // get the idea. For example it would emit invalid JSON if the input string\n // contains a '\"' character.\n fn serialize_str(self, v: &str) -> Result {\n self.output += \"\\\"\";\n self.output += v;\n self.output += \"\\\"\";\n Ok(())\n }\n\n // Serialize a byte array as an array of bytes. Could also use a base64\n // string here. Binary formats will typically represent byte arrays more\n // compactly.\n fn serialize_bytes(self, v: &[u8]) -> Result {\n use serde::ser::SerializeSeq;\n let mut seq = self.serialize_seq(Some(v.len()))?;\n for byte in v {\n seq.serialize_element(byte)?;\n }\n seq.end()\n }\n\n // An absent optional is represented as the JSON `null`.\n fn serialize_none(self) -> Result {\n self.serialize_unit()\n }\n\n // A present optional is represented as just the contained value. Note that\n // this is a lossy representation. For example the values `Some(())` and\n // `None` both serialize as just `null`. Unfortunately this is typically\n // what people expect when working with JSON. Other formats are encouraged\n // to behave more intelligently if possible.\n fn serialize_some(self, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n value.serialize(self)\n }\n\n // In Serde, unit means an anonymous value containing no data. Map this to\n // JSON as `null`.\n fn serialize_unit(self) -> Result {\n self.output += \"null\";\n Ok(())\n }\n\n // Unit struct means a named value containing no data. Again, since there is\n // no data, map this to JSON as `null`. There is no need to serialize the\n // name in most formats.\n fn serialize_unit_struct(self, _name: &'static str) -> Result {\n self.serialize_unit()\n }\n\n // When serializing a unit variant (or any other kind of variant), formats\n // can choose whether to keep track of it by index or by name. Binary\n // formats typically use the index of the variant and human-readable formats\n // typically use the name.\n fn serialize_unit_variant(\n self,\n _name: &'static str,\n _variant_index: u32,\n variant: &'static str,\n ) -> Result {\n self.serialize_str(variant)\n }\n\n // As is done here, serializers are encouraged to treat newtype structs as\n // insignificant wrappers around the data they contain.\n fn serialize_newtype_struct(\n self,\n _name: &'static str,\n value: &T,\n ) -> Result\n where\n T: ?Sized + Serialize,\n {\n value.serialize(self)\n }\n\n // Note that newtype variant (and all of the other variant serialization\n // methods) refer exclusively to the \"externally tagged\" enum\n // representation.\n //\n // Serialize this to JSON in externally tagged form as `{ NAME: VALUE }`.\n fn serialize_newtype_variant(\n self,\n _name: &'static str,\n _variant_index: u32,\n variant: &'static str,\n value: &T,\n ) -> Result\n where\n T: ?Sized + Serialize,\n {\n self.output += \"{\";\n variant.serialize(&mut *self)?;\n self.output += \":\";\n value.serialize(&mut *self)?;\n self.output += \"}\";\n Ok(())\n }\n\n // Now we get to the serialization of compound types.\n //\n // The start of the sequence, each value, and the end are three separate\n // method calls. This one is responsible only for serializing the start,\n // which in JSON is `[`.\n //\n // The length of the sequence may or may not be known ahead of time. This\n // doesn't make a difference in JSON because the length is not represented\n // explicitly in the serialized form. Some serializers may only be able to\n // support sequences for which the length is known up front.\n fn serialize_seq(self, _len: Option) -> Result {\n self.output += \"[\";\n Ok(self)\n }\n\n // Tuples look just like sequences in JSON. Some formats may be able to\n // represent tuples more efficiently by omitting the length, since tuple\n // means that the corresponding `Deserialize implementation will know the\n // length without needing to look at the serialized data.\n fn serialize_tuple(self, len: usize) -> Result {\n self.serialize_seq(Some(len))\n }\n\n // Tuple structs look just like sequences in JSON.\n fn serialize_tuple_struct(\n self,\n _name: &'static str,\n len: usize,\n ) -> Result {\n self.serialize_seq(Some(len))\n }\n\n // Tuple variants are represented in JSON as `{ NAME: [DATA...] }`. Again\n // this method is only responsible for the externally tagged representation.\n fn serialize_tuple_variant(\n self,\n _name: &'static str,\n _variant_index: u32,\n variant: &'static str,\n _len: usize,\n ) -> Result {\n self.output += \"{\";\n variant.serialize(&mut *self)?;\n self.output += \":[\";\n Ok(self)\n }\n\n // Maps are represented in JSON as `{ K: V, K: V, ... }`.\n fn serialize_map(self, _len: Option) -> Result {\n self.output += \"{\";\n Ok(self)\n }\n\n // Structs look just like maps in JSON. In particular, JSON requires that we\n // serialize the field names of the struct. Other formats may be able to\n // omit the field names when serializing structs because the corresponding\n // Deserialize implementation is required to know what the keys are without\n // looking at the serialized data.\n fn serialize_struct(\n self,\n _name: &'static str,\n len: usize,\n ) -> Result {\n self.serialize_map(Some(len))\n }\n\n // Struct variants are represented in JSON as `{ NAME: { K: V, ... } }`.\n // This is the externally tagged representation.\n fn serialize_struct_variant(\n self,\n _name: &'static str,\n _variant_index: u32,\n variant: &'static str,\n _len: usize,\n ) -> Result {\n self.output += \"{\";\n variant.serialize(&mut *self)?;\n self.output += \":{\";\n Ok(self)\n }\n}\n\n// The following 7 impls deal with the serialization of compound types like\n// sequences and maps. Serialization of such types is begun by a Serializer\n// method and followed by zero or more calls to serialize individual elements of\n// the compound type and one call to end the compound type.\n//\n// This impl is SerializeSeq so these methods are called after `serialize_seq`\n// is called on the Serializer.\nimpl ser::SerializeSeq for &'a mut Serializer {\n // Must match the `Ok` type of the serializer.\n type Ok = ();\n // Must match the `Error` type of the serializer.\n type Error = Error;\n\n // Serialize a single element of the sequence.\n fn serialize_element(&mut self, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('[') {\n self.output += \",\";\n }\n value.serialize(&mut **self)\n }\n\n // Close the sequence.\n fn end(self) -> Result {\n self.output += \"]\";\n Ok(())\n }\n}\n\n// Same thing but for tuples.\nimpl ser::SerializeTuple for &'a mut Serializer {\n type Ok = ();\n type Error = Error;\n\n fn serialize_element(&mut self, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('[') {\n self.output += \",\";\n }\n value.serialize(&mut **self)\n }\n\n fn end(self) -> Result {\n self.output += \"]\";\n Ok(())\n }\n}\n\n// Same thing but for tuple structs.\nimpl ser::SerializeTupleStruct for &'a mut Serializer {\n type Ok = ();\n type Error = Error;\n\n fn serialize_field(&mut self, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('[') {\n self.output += \",\";\n }\n value.serialize(&mut **self)\n }\n\n fn end(self) -> Result {\n self.output += \"]\";\n Ok(())\n }\n}\n\n// Tuple variants are a little different. Refer back to the\n// `serialize_tuple_variant` method above:\n//\n// self.output += \"{\";\n// variant.serialize(&mut *self)?;\n// self.output += \":[\";\n//\n// So the `end` method in this impl is responsible for closing both the `]` and\n// the `}`.\nimpl ser::SerializeTupleVariant for &'a mut Serializer {\n type Ok = ();\n type Error = Error;\n\n fn serialize_field(&mut self, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('[') {\n self.output += \",\";\n }\n value.serialize(&mut **self)\n }\n\n fn end(self) -> Result {\n self.output += \"]}\";\n Ok(())\n }\n}\n\n// Some `Serialize` types are not able to hold a key and value in memory at the\n// same time so `SerializeMap` implementations are required to support\n// `serialize_key` and `serialize_value` individually.\n//\n// There is a third optional method on the `SerializeMap` trait. The\n// `serialize_entry` method allows serializers to optimize for the case where\n// key and value are both available simultaneously. In JSON it doesn't make a\n// difference so the default behavior for `serialize_entry` is fine.\nimpl ser::SerializeMap for &'a mut Serializer {\n type Ok = ();\n type Error = Error;\n\n // The Serde data model allows map keys to be any serializable type. JSON\n // only allows string keys so the implementation below will produce invalid\n // JSON if the key serializes as something other than a string.\n //\n // A real JSON serializer would need to validate that map keys are strings.\n // This can be done by using a different Serializer to serialize the key\n // (instead of `&mut **self`) and having that other serializer only\n // implement `serialize_str` and return an error on any other data type.\n fn serialize_key(&mut self, key: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('{') {\n self.output += \",\";\n }\n key.serialize(&mut **self)\n }\n\n // It doesn't make a difference whether the colon is printed at the end of\n // `serialize_key` or at the beginning of `serialize_value`. In this case\n // the code is a bit simpler having it here.\n fn serialize_value(&mut self, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n self.output += \":\";\n value.serialize(&mut **self)\n }\n\n fn end(self) -> Result {\n self.output += \"}\";\n Ok(())\n }\n}\n\n// Structs are like maps in which the keys are constrained to be compile-time\n// constant strings.\nimpl ser::SerializeStruct for &'a mut Serializer {\n type Ok = ();\n type Error = Error;\n\n fn serialize_field(&mut self, key: &'static str, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('{') {\n self.output += \",\";\n }\n key.serialize(&mut **self)?;\n self.output += \":\";\n value.serialize(&mut **self)\n }\n\n fn end(self) -> Result {\n self.output += \"}\";\n Ok(())\n }\n}\n\n// Similar to `SerializeTupleVariant`, here the `end` method is responsible for\n// closing both of the curly braces opened by `serialize_struct_variant`.\nimpl ser::SerializeStructVariant for &'a mut Serializer {\n type Ok = ();\n type Error = Error;\n\n fn serialize_field(&mut self, key: &'static str, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('{') {\n self.output += \",\";\n }\n key.serialize(&mut **self)?;\n self.output += \":\";\n value.serialize(&mut **self)\n }\n\n fn end(self) -> Result {\n self.output += \"}}\";\n Ok(())\n }\n}\n\n////////////////////////////////////////////////////////////////////////////////\n\n#[test]\nfn test_struct() {\n #[derive(Serialize)]\n struct Test {\n int: u32,\n seq: Vec,\n }\n\n let test = Test {\n int: 1,\n seq: vec![\"a\", \"b\"],\n };\n let expected = r#\"{\"int\":1,\"seq\":[\"a\",\"b\"]}\"#;\n assert_eq!(to_string(&test).unwrap(), expected);\n}\n\n#[test]\nfn test_enum() {\n #[derive(Serialize)]\n enum E {\n Unit,\n Newtype(u32),\n Tuple(u32, u32),\n Struct { a: u32 },\n }\n\n let u = E::Unit;\n let expected = r#\"\"Unit\"\"#;\n assert_eq!(to_string(&u).unwrap(), expected);\n\n let n = E::Newtype(1);\n let expected = r#\"{\"Newtype\":1}\"#;\n assert_eq!(to_string(&n).unwrap(), expected);\n\n let t = E::Tuple(1, 2);\n let expected = r#\"{\"Tuple\":[1,2]}\"#;\n assert_eq!(to_string(&t).unwrap(), expected);\n\n let s = E::Struct { a: 1 };\n let expected = r#\"{\"Struct\":{\"a\":1}}\"#;\n assert_eq!(to_string(&s).unwrap(), expected);\n}\n\n"},"impl-deserializer.html":{"url":"impl-deserializer.html","title":"Implementing a Deserializer","keywords":"","body":"Implementing a Deserializer\nThis page gives a basic but functional implementation of a JSON deserializer\nusing Serde.\nAs with the serializer, the Deserializer trait has a lot of methods but none\nof them are complicated in this implementation. The deserializer is responsible\nfor mapping the input data into Serde's data model by invoking exactly one of\nthe methods on the Visitor that it receives.\nThe Deserializer methods are called by a Deserialize impl as a hint to\nindicate what Serde data model type the Deserialize type expects to see in the\ninput. For self-describing formats like JSON, it is fine for the Deserializer\nto ignore this hint and just call whichever Visitor method corresponds to the\ncontent of the input data. Other formats, especially compact binary formats like\nPostcard, rely on the hint to determine how the input data is to be interpreted.\nSelf-describing formats can save a lot of code by using the\nforward_to_deserialize_any! macro to ignore hints and forward some or all of\nthe methods of the Deserializer trait to the deserialize_any method.\nThe code below implements every method explicitly for documentation purposes but\nthere is no advantage to that.\nDeserializer lifetimes have their own dedicated page.\nsrc/de.rs\nuse std::ops::{AddAssign, MulAssign, Neg};\n\nuse serde::Deserialize;\nuse serde::de::{\n self, DeserializeSeed, EnumAccess, IntoDeserializer, MapAccess, SeqAccess,\n VariantAccess, Visitor,\n};\n\nuse error::{Error, Result};\n\npub struct Deserializer {\n // This string starts with the input data and characters are truncated off\n // the beginning as data is parsed.\n input: &'de str,\n}\n\nimpl Deserializer {\n // By convention, `Deserializer` constructors are named like `from_xyz`.\n // That way basic use cases are satisfied by something like\n // `serde_json::from_str(...)` while advanced use cases that require a\n // deserializer can make one with `serde_json::Deserializer::from_str(...)`.\n pub fn from_str(input: &'de str) -> Self {\n Deserializer { input }\n }\n}\n\n// By convention, the public API of a Serde deserializer is one or more\n// `from_xyz` methods such as `from_str`, `from_bytes`, or `from_reader`\n// depending on what Rust types the deserializer is able to consume as input.\n//\n// This basic deserializer supports only `from_str`.\npub fn from_str(s: &'a str) -> Result\nwhere\n T: Deserialize,\n{\n let mut deserializer = Deserializer::from_str(s);\n let t = T::deserialize(&mut deserializer)?;\n if deserializer.input.is_empty() {\n Ok(t)\n } else {\n Err(Error::TrailingCharacters)\n }\n}\n\n// SERDE IS NOT A PARSING LIBRARY. This impl block defines a few basic parsing\n// functions from scratch. More complicated formats may wish to use a dedicated\n// parsing library to help implement their Serde deserializer.\nimpl Deserializer {\n // Look at the first character in the input without consuming it.\n fn peek_char(&mut self) -> Result {\n self.input.chars().next().ok_or(Error::Eof)\n }\n\n // Consume the first character in the input.\n fn next_char(&mut self) -> Result {\n let ch = self.peek_char()?;\n self.input = &self.input[ch.len_utf8()..];\n Ok(ch)\n }\n\n // Parse the JSON identifier `true` or `false`.\n fn parse_bool(&mut self) -> Result {\n if self.input.starts_with(\"true\") {\n self.input = &self.input[\"true\".len()..];\n Ok(true)\n } else if self.input.starts_with(\"false\") {\n self.input = &self.input[\"false\".len()..];\n Ok(false)\n } else {\n Err(Error::ExpectedBoolean)\n }\n }\n\n // Parse a group of decimal digits as an unsigned integer of type T.\n //\n // This implementation is a bit too lenient, for example `001` is not\n // allowed in JSON. Also the various arithmetic operations can overflow and\n // panic or return bogus data. But it is good enough for example code!\n fn parse_unsigned(&mut self) -> Result\n where\n T: AddAssign + MulAssign + From,\n {\n let mut int = match self.next_char()? {\n ch @ '0'..='9' => T::from(ch as u8 - b'0'),\n _ => {\n return Err(Error::ExpectedInteger);\n }\n };\n loop {\n match self.input.chars().next() {\n Some(ch @ '0'..='9') => {\n self.input = &self.input[1..];\n int *= T::from(10);\n int += T::from(ch as u8 - b'0');\n }\n _ => {\n return Ok(int);\n }\n }\n }\n }\n\n // Parse a possible minus sign followed by a group of decimal digits as a\n // signed integer of type T.\n fn parse_signed(&mut self) -> Result\n where\n T: Neg + AddAssign + MulAssign + From,\n {\n // Optional minus sign, delegate to `parse_unsigned`, negate if negative.\n unimplemented!()\n }\n\n // Parse a string until the next '\"' character.\n //\n // Makes no attempt to handle escape sequences. What did you expect? This is\n // example code!\n fn parse_string(&mut self) -> Result {\n if self.next_char()? != '\"' {\n return Err(Error::ExpectedString);\n }\n match self.input.find('\"') {\n Some(len) => {\n let s = &self.input[..len];\n self.input = &self.input[len + 1..];\n Ok(s)\n }\n None => Err(Error::Eof),\n }\n }\n}\n\nimpl de::Deserializer for &'a mut Deserializer {\n type Error = Error;\n\n // Look at the input data to decide what Serde data model type to\n // deserialize as. Not all data formats are able to support this operation.\n // Formats that support `deserialize_any` are known as self-describing.\n fn deserialize_any(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n match self.peek_char()? {\n 'n' => self.deserialize_unit(visitor),\n 't' | 'f' => self.deserialize_bool(visitor),\n '\"' => self.deserialize_str(visitor),\n '0'..='9' => self.deserialize_u64(visitor),\n '-' => self.deserialize_i64(visitor),\n '[' => self.deserialize_seq(visitor),\n '{' => self.deserialize_map(visitor),\n _ => Err(Error::Syntax),\n }\n }\n\n // Uses the `parse_bool` parsing function defined above to read the JSON\n // identifier `true` or `false` from the input.\n //\n // Parsing refers to looking at the input and deciding that it contains the\n // JSON value `true` or `false`.\n //\n // Deserialization refers to mapping that JSON value into Serde's data\n // model by invoking one of the `Visitor` methods. In the case of JSON and\n // bool that mapping is straightforward so the distinction may seem silly,\n // but in other cases Deserializers sometimes perform non-obvious mappings.\n // For example the TOML format has a Datetime type and Serde's data model\n // does not. In the `toml` crate, a Datetime in the input is deserialized by\n // mapping it to a Serde data model \"struct\" type with a special name and a\n // single field containing the Datetime represented as a string.\n fn deserialize_bool(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_bool(self.parse_bool()?)\n }\n\n // The `parse_signed` function is generic over the integer type `T` so here\n // it is invoked with `T=i8`. The next 8 methods are similar.\n fn deserialize_i8(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_i8(self.parse_signed()?)\n }\n\n fn deserialize_i16(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_i16(self.parse_signed()?)\n }\n\n fn deserialize_i32(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_i32(self.parse_signed()?)\n }\n\n fn deserialize_i64(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_i64(self.parse_signed()?)\n }\n\n fn deserialize_u8(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_u8(self.parse_unsigned()?)\n }\n\n fn deserialize_u16(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_u16(self.parse_unsigned()?)\n }\n\n fn deserialize_u32(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_u32(self.parse_unsigned()?)\n }\n\n fn deserialize_u64(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_u64(self.parse_unsigned()?)\n }\n\n // Float parsing is stupidly hard.\n fn deserialize_f32(self, _visitor: V) -> Result\n where\n V: Visitor,\n {\n unimplemented!()\n }\n\n // Float parsing is stupidly hard.\n fn deserialize_f64(self, _visitor: V) -> Result\n where\n V: Visitor,\n {\n unimplemented!()\n }\n\n // The `Serializer` implementation on the previous page serialized chars as\n // single-character strings so handle that representation here.\n fn deserialize_char(self, _visitor: V) -> Result\n where\n V: Visitor,\n {\n // Parse a string, check that it is one character, call `visit_char`.\n unimplemented!()\n }\n\n // Refer to the \"Understanding deserializer lifetimes\" page for information\n // about the three deserialization flavors of strings in Serde.\n fn deserialize_str(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_borrowed_str(self.parse_string()?)\n }\n\n fn deserialize_string(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n self.deserialize_str(visitor)\n }\n\n // The `Serializer` implementation on the previous page serialized byte\n // arrays as JSON arrays of bytes. Handle that representation here.\n fn deserialize_bytes(self, _visitor: V) -> Result\n where\n V: Visitor,\n {\n unimplemented!()\n }\n\n fn deserialize_byte_buf(self, _visitor: V) -> Result\n where\n V: Visitor,\n {\n unimplemented!()\n }\n\n // An absent optional is represented as the JSON `null` and a present\n // optional is represented as just the contained value.\n //\n // As commented in `Serializer` implementation, this is a lossy\n // representation. For example the values `Some(())` and `None` both\n // serialize as just `null`. Unfortunately this is typically what people\n // expect when working with JSON. Other formats are encouraged to behave\n // more intelligently if possible.\n fn deserialize_option(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n if self.input.starts_with(\"null\") {\n self.input = &self.input[\"null\".len()..];\n visitor.visit_none()\n } else {\n visitor.visit_some(self)\n }\n }\n\n // In Serde, unit means an anonymous value containing no data.\n fn deserialize_unit(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n if self.input.starts_with(\"null\") {\n self.input = &self.input[\"null\".len()..];\n visitor.visit_unit()\n } else {\n Err(Error::ExpectedNull)\n }\n }\n\n // Unit struct means a named value containing no data.\n fn deserialize_unit_struct(\n self,\n _name: &'static str,\n visitor: V,\n ) -> Result\n where\n V: Visitor,\n {\n self.deserialize_unit(visitor)\n }\n\n // As is done here, serializers are encouraged to treat newtype structs as\n // insignificant wrappers around the data they contain. That means not\n // parsing anything other than the contained value.\n fn deserialize_newtype_struct(\n self,\n _name: &'static str,\n visitor: V,\n ) -> Result\n where\n V: Visitor,\n {\n visitor.visit_newtype_struct(self)\n }\n\n // Deserialization of compound types like sequences and maps happens by\n // passing the visitor an \"Access\" object that gives it the ability to\n // iterate through the data contained in the sequence.\n fn deserialize_seq(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n // Parse the opening bracket of the sequence.\n if self.next_char()? == '[' {\n // Give the visitor access to each element of the sequence.\n let value = visitor.visit_seq(CommaSeparated::new(self))?;\n // Parse the closing bracket of the sequence.\n if self.next_char()? == ']' {\n Ok(value)\n } else {\n Err(Error::ExpectedArrayEnd)\n }\n } else {\n Err(Error::ExpectedArray)\n }\n }\n\n // Tuples look just like sequences in JSON. Some formats may be able to\n // represent tuples more efficiently.\n //\n // As indicated by the length parameter, the `Deserialize` implementation\n // for a tuple in the Serde data model is required to know the length of the\n // tuple before even looking at the input data.\n fn deserialize_tuple(self, _len: usize, visitor: V) -> Result\n where\n V: Visitor,\n {\n self.deserialize_seq(visitor)\n }\n\n // Tuple structs look just like sequences in JSON.\n fn deserialize_tuple_struct(\n self,\n _name: &'static str,\n _len: usize,\n visitor: V,\n ) -> Result\n where\n V: Visitor,\n {\n self.deserialize_seq(visitor)\n }\n\n // Much like `deserialize_seq` but calls the visitors `visit_map` method\n // with a `MapAccess` implementation, rather than the visitor's `visit_seq`\n // method with a `SeqAccess` implementation.\n fn deserialize_map(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n // Parse the opening brace of the map.\n if self.next_char()? == '{' {\n // Give the visitor access to each entry of the map.\n let value = visitor.visit_map(CommaSeparated::new(self))?;\n // Parse the closing brace of the map.\n if self.next_char()? == '}' {\n Ok(value)\n } else {\n Err(Error::ExpectedMapEnd)\n }\n } else {\n Err(Error::ExpectedMap)\n }\n }\n\n // Structs look just like maps in JSON.\n //\n // Notice the `fields` parameter - a \"struct\" in the Serde data model means\n // that the `Deserialize` implementation is required to know what the fields\n // are before even looking at the input data. Any key-value pairing in which\n // the fields cannot be known ahead of time is probably a map.\n fn deserialize_struct(\n self,\n _name: &'static str,\n _fields: &'static [&'static str],\n visitor: V,\n ) -> Result\n where\n V: Visitor,\n {\n self.deserialize_map(visitor)\n }\n\n fn deserialize_enum(\n self,\n _name: &'static str,\n _variants: &'static [&'static str],\n visitor: V,\n ) -> Result\n where\n V: Visitor,\n {\n if self.peek_char()? == '\"' {\n // Visit a unit variant.\n visitor.visit_enum(self.parse_string()?.into_deserializer())\n } else if self.next_char()? == '{' {\n // Visit a newtype variant, tuple variant, or struct variant.\n let value = visitor.visit_enum(Enum::new(self))?;\n // Parse the matching close brace.\n if self.next_char()? == '}' {\n Ok(value)\n } else {\n Err(Error::ExpectedMapEnd)\n }\n } else {\n Err(Error::ExpectedEnum)\n }\n }\n\n // An identifier in Serde is the type that identifies a field of a struct or\n // the variant of an enum. In JSON, struct fields and enum variants are\n // represented as strings. In other formats they may be represented as\n // numeric indices.\n fn deserialize_identifier(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n self.deserialize_str(visitor)\n }\n\n // Like `deserialize_any` but indicates to the `Deserializer` that it makes\n // no difference which `Visitor` method is called because the data is\n // ignored.\n //\n // Some deserializers are able to implement this more efficiently than\n // `deserialize_any`, for example by rapidly skipping over matched\n // delimiters without paying close attention to the data in between.\n //\n // Some formats are not able to implement this at all. Formats that can\n // implement `deserialize_any` and `deserialize_ignored_any` are known as\n // self-describing.\n fn deserialize_ignored_any(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n self.deserialize_any(visitor)\n }\n}\n\n// In order to handle commas correctly when deserializing a JSON array or map,\n// we need to track whether we are on the first element or past the first\n// element.\nstruct CommaSeparated {\n de: &'a mut Deserializer,\n first: bool,\n}\n\nimpl CommaSeparated {\n fn new(de: &'a mut Deserializer) -> Self {\n CommaSeparated {\n de,\n first: true,\n }\n }\n}\n\n// `SeqAccess` is provided to the `Visitor` to give it the ability to iterate\n// through elements of the sequence.\nimpl SeqAccess for CommaSeparated {\n type Error = Error;\n\n fn next_element_seed(&mut self, seed: T) -> Result>\n where\n T: DeserializeSeed,\n {\n // Check if there are no more elements.\n if self.de.peek_char()? == ']' {\n return Ok(None);\n }\n // Comma is required before every element except the first.\n if !self.first && self.de.next_char()? != ',' {\n return Err(Error::ExpectedArrayComma);\n }\n self.first = false;\n // Deserialize an array element.\n seed.deserialize(&mut *self.de).map(Some)\n }\n}\n\n// `MapAccess` is provided to the `Visitor` to give it the ability to iterate\n// through entries of the map.\nimpl MapAccess for CommaSeparated {\n type Error = Error;\n\n fn next_key_seed(&mut self, seed: K) -> Result>\n where\n K: DeserializeSeed,\n {\n // Check if there are no more entries.\n if self.de.peek_char()? == '}' {\n return Ok(None);\n }\n // Comma is required before every entry except the first.\n if !self.first && self.de.next_char()? != ',' {\n return Err(Error::ExpectedMapComma);\n }\n self.first = false;\n // Deserialize a map key.\n seed.deserialize(&mut *self.de).map(Some)\n }\n\n fn next_value_seed(&mut self, seed: V) -> Result\n where\n V: DeserializeSeed,\n {\n // It doesn't make a difference whether the colon is parsed at the end\n // of `next_key_seed` or at the beginning of `next_value_seed`. In this\n // case the code is a bit simpler having it here.\n if self.de.next_char()? != ':' {\n return Err(Error::ExpectedMapColon);\n }\n // Deserialize a map value.\n seed.deserialize(&mut *self.de)\n }\n}\n\nstruct Enum {\n de: &'a mut Deserializer,\n}\n\nimpl Enum {\n fn new(de: &'a mut Deserializer) -> Self {\n Enum { de }\n }\n}\n\n// `EnumAccess` is provided to the `Visitor` to give it the ability to determine\n// which variant of the enum is supposed to be deserialized.\n//\n// Note that all enum deserialization methods in Serde refer exclusively to the\n// \"externally tagged\" enum representation.\nimpl EnumAccess for Enum {\n type Error = Error;\n type Variant = Self;\n\n fn variant_seed(self, seed: V) -> Result\n where\n V: DeserializeSeed,\n {\n // The `deserialize_enum` method parsed a `{` character so we are\n // currently inside of a map. The seed will be deserializing itself from\n // the key of the map.\n let val = seed.deserialize(&mut *self.de)?;\n // Parse the colon separating map key from value.\n if self.de.next_char()? == ':' {\n Ok((val, self))\n } else {\n Err(Error::ExpectedMapColon)\n }\n }\n}\n\n// `VariantAccess` is provided to the `Visitor` to give it the ability to see\n// the content of the single variant that it decided to deserialize.\nimpl VariantAccess for Enum {\n type Error = Error;\n\n // If the `Visitor` expected this variant to be a unit variant, the input\n // should have been the plain string case handled in `deserialize_enum`.\n fn unit_variant(self) -> Result {\n Err(Error::ExpectedString)\n }\n\n // Newtype variants are represented in JSON as `{ NAME: VALUE }` so\n // deserialize the value here.\n fn newtype_variant_seed(self, seed: T) -> Result\n where\n T: DeserializeSeed,\n {\n seed.deserialize(self.de)\n }\n\n // Tuple variants are represented in JSON as `{ NAME: [DATA...] }` so\n // deserialize the sequence of data here.\n fn tuple_variant(self, _len: usize, visitor: V) -> Result\n where\n V: Visitor,\n {\n de::Deserializer::deserialize_seq(self.de, visitor)\n }\n\n // Struct variants are represented in JSON as `{ NAME: { K: V, ... } }` so\n // deserialize the inner map here.\n fn struct_variant(\n self,\n _fields: &'static [&'static str],\n visitor: V,\n ) -> Result\n where\n V: Visitor,\n {\n de::Deserializer::deserialize_map(self.de, visitor)\n }\n}\n\n////////////////////////////////////////////////////////////////////////////////\n\n#[test]\nfn test_struct() {\n #[derive(Deserialize, PartialEq, Debug)]\n struct Test {\n int: u32,\n seq: Vec,\n }\n\n let j = r#\"{\"int\":1,\"seq\":[\"a\",\"b\"]}\"#;\n let expected = Test {\n int: 1,\n seq: vec![\"a\".to_owned(), \"b\".to_owned()],\n };\n assert_eq!(expected, from_str(j).unwrap());\n}\n\n#[test]\nfn test_enum() {\n #[derive(Deserialize, PartialEq, Debug)]\n enum E {\n Unit,\n Newtype(u32),\n Tuple(u32, u32),\n Struct { a: u32 },\n }\n\n let j = r#\"\"Unit\"\"#;\n let expected = E::Unit;\n assert_eq!(expected, from_str(j).unwrap());\n\n let j = r#\"{\"Newtype\":1}\"#;\n let expected = E::Newtype(1);\n assert_eq!(expected, from_str(j).unwrap());\n\n let j = r#\"{\"Tuple\":[1,2]}\"#;\n let expected = E::Tuple(1, 2);\n assert_eq!(expected, from_str(j).unwrap());\n\n let j = r#\"{\"Struct\":{\"a\":1}}\"#;\n let expected = E::Struct { a: 1 };\n assert_eq!(expected, from_str(j).unwrap());\n}\n\n"},"lifetimes.html":{"url":"lifetimes.html","title":"Deserializer lifetimes","keywords":"","body":"Understanding deserializer lifetimes\nThe Deserialize and Deserializer traits both have a lifetime called\n'de, as do some of the other deserialization-related traits.\ntrait Deserialize: Sized {\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer;\n}\n\nThis lifetime is what enables Serde to safely perform efficient zero-copy\ndeserialization across a variety of data formats, something that would be\nimpossible or recklessly unsafe in languages other than Rust.\n#[derive(Deserialize)]\nstruct User {\n id: u32,\n name: &'a str,\n screen_name: &'a str,\n location: &'a str,\n}\n\nZero-copy deserialization means deserializing into a data structure, like the\nUser struct above, that borrows string or byte array data from the string or\nbyte array holding the input. This avoids allocating memory to store a string\nfor each individual field and then copying string data out of the input over to\nthe newly allocated field. Rust guarantees that the input data outlives the\nperiod during which the output data structure is in scope, meaning it is\nimpossible to have dangling pointer errors as a result of losing the input data\nwhile the output data structure still refers to it.\nTrait bounds\nThere are two main ways to write Deserialize trait bounds, whether on an impl\nblock or a function or anywhere else.\n\n where T: Deserialize\n This means \"T can be deserialized from some lifetime.\" The caller gets\n to decide what lifetime that is. Typically this is used when the caller also\n provides the data that is being deserialized from, for example in a function\n like serde_json::from_str. In that case the input data must also have\n lifetime 'de, for example it could be &'de str.\n\n where T: DeserializeOwned\n This means \"T can be deserialized from any lifetime.\" The callee gets to\n decide what lifetime. Usually this is because the data that is being\n deserialized from is going to be thrown away before the function returns, so\n T must not be allowed to borrow from it. For example a function that accepts\n base64-encoded data as input, decodes it from base64, deserializes a value\n of type T, then throws away the result of base64 decoding. Another common\n use of this bound is functions that deserialize from an IO stream, such as\n serde_json::from_reader.\n To say it more technically, the DeserializeOwned trait is equivalent to\n the higher-rank trait bound for Deserialize. The only\n difference is DeserializeOwned is more intuitive to read. It means T owns\n all the data that gets deserialized.\n\n\nNote that where T: Deserialize is never what you want. Also\nDeserialize + 'static is never what you want. Generally writing 'static\nanywhere near Deserialize is a sign of being on the wrong track. Use one of\nthe above bounds instead.\nTransient, borrowed, and owned data\nThe Serde data model has three flavors of strings and byte arrays during\ndeserialization. They correspond to different methods on the Visitor trait.\n\nTransient — visit_str accepts a &str.\nBorrowed — visit_borrowed_str accepts a &'de str.\nOwned — visit_string accepts a String.\n\nTransient data is not guaranteed to last beyond the method call it is passed to.\nOften this is sufficient, for example when deserializing something like an IP\naddress from a Serde string using the FromStr trait. When it is not\nsufficient, the data can be copied by calling to_owned(). Deserializers\ncommonly use transient data when input from an IO stream is being buffered in\nmemory before being passed to the Visitor, or when escape sequences are being\nprocessed so the resulting string is not present verbatim in the input.\nBorrowed data is guaranteed to live at least as long as the 'de lifetime\nparameter of the Deserializer. Not all deserializers support handing out\nborrowed data. For example when deserializing from an IO stream no data can be\nborrowed.\nOwned data is guaranteed to live as long as the Visitor wants it to. Some\nvisitors benefit from receiving owned data. For example the Deserialize impl\nfor Rust's String type benefits from being given ownership of the Serde string\ndata that has been deserialized.\nThe Deserialize lifetime\nThis lifetime records the constraints on how long data borrowed by this type\nmust be valid.\nEvery lifetime of data borrowed by this type must be a bound on the 'de\nlifetime of its Deserialize impl. If this type borrows data with lifetime\n'a, then 'de must be constrained to outlive 'a.\nstruct S {\n a: &'a str,\n b: &'b str,\n bb: &'b str,\n t: T,\n}\n\nimpl Deserialize for S\nwhere\n T: Deserialize,\n{\n /* ... */\n}\n\nIf this type does not borrow any data from the Deserializer, there are simply\nno bounds on the 'de lifetime. Such types automatically implement the\nDeserializeOwned trait.\nstruct S {\n owned: String,\n}\n\nimpl Deserialize for S {\n /* ... */\n}\n\nThe 'de lifetime should not appear in the type to which the Deserialize\nimpl applies.\n- // Do not do this. Sooner or later you will be sad.\n- impl Deserialize for Q {\n\n+ // Do this instead.\n+ impl Deserialize for Q {\n\nThe Deserializer lifetime\nThis is the lifetime of data that can be borrowed from the Deserializer.\nstruct MyDeserializer {\n input_data: &'de [u8],\n pos: usize,\n}\n\nimpl Deserializer for MyDeserializer {\n /* ... */\n}\n\nIf the Deserializer never invokes visit_borrowed_str or\nvisit_borrowed_bytes, the 'de lifetime will be an unconstrained lifetime\nparameter.\nstruct MyDeserializer {\n read: R,\n}\n\nimpl Deserializer for MyDeserializer\nwhere\n R: io::Read,\n{\n /* ... */\n}\n\nBorrowing data in a derived impl\nFields of type &str and &[u8] are implicitly borrowed from the input data by\nSerde. Any other type of field can opt in to borrowing by using the\n#[serde(borrow)] attribute.\nuse serde::Deserialize;\n\nuse std::borrow::Cow;\n\n#[derive(Deserialize)]\nstruct Inner {\n // &str and &[u8] are implicitly borrowed.\n username: &'a str,\n\n // Other types must be borrowed explicitly.\n #[serde(borrow)]\n comment: Cow,\n}\n\n#[derive(Deserialize)]\nstruct Outer {\n owned: String,\n\n #[serde(borrow)]\n inner: Inner,\n\n // This field is never borrowed.\n not_borrowed: Cow,\n}\n\nThis attribute works by placing bounds on the 'de lifetime of the generated\nDeserialize impl. For example the impl for the struct Outer defined above\nlooks like this:\n// The lifetimes 'a and 'b are borrowed while 'c is not.\nimpl Deserialize for Outer {\n /* ... */\n}\n\nThe attribute may specify explicitly which lifetimes should be borrowed.\nuse std::marker::PhantomData;\n\n// This struct borrows the first two lifetimes but not the third.\n#[derive(Deserialize)]\nstruct Three {\n a: &'a str,\n b: &'b str,\n c: PhantomData,\n}\n\n#[derive(Deserialize)]\nstruct Example {\n // Borrow 'a and 'b only, not 'c.\n #[serde(borrow = \"'a + 'b\")]\n three: Three,\n}\n\n"},"examples.html":{"url":"examples.html","title":"Examples","keywords":"","body":"Examples\nStructs and enums in JSON: The representation chosen by\nserde_json for structs and enums. Other\nhuman-readable data formats are encouraged to follow an analogous approach where\npossible.\nEnum representations: Externally tagged,\ninternally tagged, adjacently tagged, and untagged ways of representing an enum\nin self-describing formats.\nDefault value for a field: Some examples of the\n#[serde(default)] attribute.\nHandwritten generic type bounds: Some unusual scenarios in\nwhich Serde's derive infers the wrong generic type bounds. The impl bounds can\nbe replaced with handwritten ones using the #[serde(bound)] attribute.\nDeserialize for custom map type: Detailed explanation\nof each step involved in deserializing a map.\nArray of values without buffering: Deserialize the\nmaximum value of an array of integers without holding the whole array in memory\nat once. This approach can be adapted to handle a variety of other situations in\nwhich data needs to be processed while being deserialized instead of after.\nSerialize enum as number: A macro to impl Serialize and\nDeserialize for a C-like enum in a way that represents it as a u64 across\nall data formats.\nSerialize fields as camelCase: One common application of\nthe #[serde(rename)] attribute.\nSkip serializing field: Some examples of the\n#[serde(skip_serializing)] and #[serde(skip_serializing_if)] attributes.\nDerive for remote crate: Deriving Serialize and\nDeserialize implementations for a type in somebody else's crate.\nManually deserialize struct: The long form of the\nDeserialize impl generated by derive for a simple struct.\nDiscarding data: Using IgnoredAny to efficiently discard\ndata from a deserializer.\nTranscode one format into another: Use the\nserde-transcode crate to stream\ninput in one format to output in another format efficiently.\nDeserialize either a string or a struct: The\ndocker-compose.yml\nconfiguration file has a \"build\" key which can be either a string or a struct.\nConvert error types: Map a Serde error from some format\ninto a Serde error for some other format using Error::custom.\nDate in a custom format: Handle a\nchrono DateTime formatted with a\ncustom string representation.\n"},"json.html":{"url":"json.html","title":"Structs and enums in JSON","keywords":"","body":"Structs and enums in JSON\nA Serde Serializer is responsible for selecting the convention by which Rust\nstructs and enums are represented in that format. Here are the conventions\nselected by the serde_json data format.\nFor consistency, other human-readable formats are encouraged to develop\nanalogous conventions where possible.\nstruct W {\n a: i32,\n b: i32,\n}\nlet w = W { a: 0, b: 0 }; // Represented as `{\"a\":0,\"b\":0}`\n\nstruct X(i32, i32);\nlet x = X(0, 0); // Represented as `[0,0]`\n\nstruct Y(i32);\nlet y = Y(0); // Represented as just the inner value `0`\n\nstruct Z;\nlet z = Z; // Represented as `null`\n\nenum E {\n W { a: i32, b: i32 },\n X(i32, i32),\n Y(i32),\n Z,\n}\nlet w = E::W { a: 0, b: 0 }; // Represented as `{\"W\":{\"a\":0,\"b\":0}}`\nlet x = E::X(0, 0); // Represented as `{\"X\":[0,0]}`\nlet y = E::Y(0); // Represented as `{\"Y\":0}`\nlet z = E::Z; // Represented as `\"Z\"`\n\n"},"enum-representations.html":{"url":"enum-representations.html","title":"Enum representations","keywords":"","body":"Enum representations\nConsider the following enum type:\n#[derive(Serialize, Deserialize)]\nenum Message {\n Request { id: String, method: String, params: Params },\n Response { id: String, result: Value },\n}\n\nExternally tagged\nThe default representation for this enum in Serde is called the externally\ntagged enum representation. Written in JSON syntax it looks like:\n{\"Request\": {\"id\": \"...\", \"method\": \"...\", \"params\": {...}}}\n\nThe externally tagged representation is characterized by being able to know\nwhich variant we are dealing with before beginning to parse the content of the\nvariant. This property allows it to work across a broad range of text and binary\nformats. The Serializer::serialize_*_variant and\nDeserializer::deserialize_enum methods use an externally tagged\nrepresentation.\nThis representation can handle any type of variant: struct variants like above,\ntuple variants, newtype variants, and unit variants.\nIn JSON and other self-describing formats, the externally tagged representation\nis often not ideal for readability. Serde provides attributes to select three\nother possible representations.\nInternally tagged\n#[derive(Serialize, Deserialize)]\n#[serde(tag = \"type\")]\nenum Message {\n Request { id: String, method: String, params: Params },\n Response { id: String, result: Value },\n}\n\nWritten in JSON syntax, the internally tagged representation looks like this:\n{\"type\": \"Request\", \"id\": \"...\", \"method\": \"...\", \"params\": {...}}\n\nThe tag identifying which variant we are dealing with is now inside of the\ncontent, next to any other fields of the variant. This representation is common\nin Java libraries.\nThis representation works for struct variants, newtype variants containing\nstructs or maps, and unit variants but does not work for enums containing tuple\nvariants. Using a #[serde(tag = \"...\")] attribute on an enum containing a\ntuple variant is an error at compile time.\nAdjacently tagged\n#[derive(Serialize, Deserialize)]\n#[serde(tag = \"t\", content = \"c\")]\nenum Block {\n Para(Vec),\n Str(String),\n}\n\nThis representation is common in the Haskell world. Written in JSON syntax:\n{\"t\": \"Para\", \"c\": [{...}, {...}]}\n{\"t\": \"Str\", \"c\": \"the string\"}\n\nThe tag and the content are adjacent to each other as two fields within the same\nobject.\nUntagged\n#[derive(Serialize, Deserialize)]\n#[serde(untagged)]\nenum Message {\n Request { id: String, method: String, params: Params },\n Response { id: String, result: Value },\n}\n\nWritten in JSON syntax, the untagged representation looks like this:\n{\"id\": \"...\", \"method\": \"...\", \"params\": {...}}\n\nThere is no explicit tag identifying which variant the data contains. Serde will\ntry to match the data against each variant in order and the first one that\ndeserializes successfully is the one returned.\nThis representation can handle enums containing any type of variant.\nAs another example of an untagged enum, this enum can be deserialized from\neither an integer or an array of two strings:\n#[derive(Serialize, Deserialize)]\n#[serde(untagged)]\nenum Data {\n Integer(u64),\n Pair(String, String),\n}\n\n"},"attr-default.html":{"url":"attr-default.html","title":"Default value for a field","keywords":"","body":"Default value for a field\nuse serde::Deserialize;\n\n#[derive(Deserialize, Debug)]\nstruct Request {\n // Use the result of a function as the default if \"resource\" is\n // not included in the input.\n #[serde(default = \"default_resource\")]\n resource: String,\n\n // Use the type's implementation of std::default::Default if\n // \"timeout\" is not included in the input.\n #[serde(default)]\n timeout: Timeout,\n\n // Use a method from the type as the default if \"priority\" is not\n // included in the input. This may also be a trait method.\n #[serde(default = \"Priority::lowest\")]\n priority: Priority,\n}\n\nfn default_resource() -> String {\n \"/\".to_string()\n}\n\n/// Timeout in seconds.\n#[derive(Deserialize, Debug)]\nstruct Timeout(u32);\nimpl Default for Timeout {\n fn default() -> Self {\n Timeout(30)\n }\n}\n\n#[derive(Deserialize, Debug)]\nenum Priority { ExtraHigh, High, Normal, Low, ExtraLow }\nimpl Priority {\n fn lowest() -> Self { Priority::ExtraLow }\n}\n\nfn main() {\n let json = r#\"\n [\n {\n \"resource\": \"/users\"\n },\n {\n \"timeout\": 5,\n \"priority\": \"High\"\n }\n ]\n \"#;\n\n let requests: Vec = serde_json::from_str(json).unwrap();\n\n // The first request has resource=\"/users\", timeout=30, priority=ExtraLow\n println!(\"{:?}\", requests[0]);\n\n // The second request has resource=\"/\", timeout=5, priority=High\n println!(\"{:?}\", requests[1]);\n}\n\n"},"attr-flatten.html":{"url":"attr-flatten.html","title":"Struct flattening","keywords":"","body":"Struct flattening\nThe flatten attribute inlines keys from a field into the parent struct.\nflatten may be used any number of times within the same struct. It is\nsupported only within structs that have named fields, and the field to which it\nis applied must be a struct or map type.\nNote: flatten is not supported in combination with structs that use\ndeny_unknown_fields. Neither the outer nor inner flattened struct should use\nthat attribute.\nThe flatten attribute serves the following two common use cases:\nFactor out frequently grouped keys\nConsider a paginated API which returns a page of results along with pagination\nmetadata that identifies how many results were requested, how far into the total\nset of results we are looking at, and how many results exist in total. If we are\npaging through a total of 1053 results 100 at a time, the third page may look\nlike this.\n{\n \"limit\": 100,\n \"offset\": 200,\n \"total\": 1053,\n \"users\": [\n {\"id\": \"49824073-979f-4814-be10-5ea416ee1c2f\", \"username\": \"john_doe\"},\n ...\n ]\n}\n\nThis same scheme with \"limit\" and \"offset\" and \"total\" fields may be\nshared across lots of different API queries. For example we may want paginated\nresults when querying for users, for issues, for projects, etc.\nIn this case it can be convenient to factor the common pagination metadata fields\ninto a shared struct that can be flattened into each API response object.\n#[derive(Serialize, Deserialize)]\nstruct Pagination {\n limit: u64,\n offset: u64,\n total: u64,\n}\n\n#[derive(Serialize, Deserialize)]\nstruct Users {\n users: Vec,\n\n #[serde(flatten)]\n pagination: Pagination,\n}\n\nCapture additional fields\nA field of map type can be flattened to hold additional data that is not\ncaptured by any other fields of the struct.\nuse std::collections::HashMap;\nuse serde::{Serialize, Deserialize};\nuse serde_json::Value;\n\n#[derive(Serialize, Deserialize)]\nstruct User {\n id: String,\n username: String,\n\n #[serde(flatten)]\n extra: HashMap,\n}\n\nFor example if we fill the flattened extra field with the key \"mascot\":\n\"Ferris\", it would serialize to the following JSON representation.\n{\n \"id\": \"49824073-979f-4814-be10-5ea416ee1c2f\",\n \"username\": \"john_doe\",\n \"mascot\": \"Ferris\"\n}\n\nDeserialization of this data would populate \"mascot\" back into the flattened\nextra field. This way additional data in an object can be collected for later\nprocessing.\n"},"attr-bound.html":{"url":"attr-bound.html","title":"Handwritten generic type bounds","keywords":"","body":"Handwritten generic type bounds\nWhen deriving Serialize and Deserialize implementations for structs with\ngeneric type parameters, most of the time Serde is able to infer the correct\ntrait bounds without help from the programmer. It uses several heuristics to\nguess the right bound, but most importantly it puts a bound of T: Serialize on\nevery type parameter T that is part of a serialized field and a bound of T:\nDeserialize on every type parameter T that is part of a deserialized field.\nAs with most heuristics, this is not always right and Serde provides an escape\nhatch to replace the automatically generated bound by one written by the\nprogrammer.\nuse serde::{de, Deserialize, Deserializer};\n\nuse std::fmt::Display;\nuse std::str::FromStr;\n\n#[derive(Deserialize, Debug)]\nstruct Outer {\n // When deriving the Deserialize impl, Serde would want to generate a bound\n // `S: Deserialize` on the type of this field. But we are going to use the\n // type's `FromStr` impl instead of its `Deserialize` impl by going through\n // `deserialize_from_str`, so we override the automatically generated bound\n // by the one required for `deserialize_from_str`.\n #[serde(deserialize_with = \"deserialize_from_str\")]\n #[serde(bound(deserialize = \"S: FromStr, S::Err: Display\"))]\n s: S,\n\n // Here Serde would want to generate a bound `T: Deserialize`. That is a\n // stricter condition than is necessary. In fact, the `main` function below\n // uses T=str which does not implement Deserialize. We override the\n // automatically generated bound by a looser one.\n #[serde(bound(deserialize = \"Ptr: Deserialize\"))]\n ptr: Ptr,\n}\n\n/// Deserialize a type `S` by deserializing a string, then using the `FromStr`\n/// impl of `S` to create the result. The generic type `S` is not required to\n/// implement `Deserialize`.\nfn deserialize_from_str(deserializer: D) -> Result\nwhere\n S: FromStr,\n S::Err: Display,\n D: Deserializer,\n{\n let s: String = Deserialize::deserialize(deserializer)?;\n S::from_str(&s).map_err(de::Error::custom)\n}\n\n/// A pointer to `T` which may or may not own the data. When deserializing we\n/// always want to produce owned data.\n#[derive(Debug)]\nenum Ptr {\n Ref(&'a T),\n Owned(Box),\n}\n\nimpl Deserialize for Ptr\nwhere\n Box: Deserialize,\n{\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer,\n {\n Deserialize::deserialize(deserializer).map(Ptr::Owned)\n }\n}\n\nfn main() {\n let j = r#\"\n {\n \"s\": \"1234567890\",\n \"ptr\": \"owned\"\n }\n \"#;\n\n let result: Outer = serde_json::from_str(j).unwrap();\n\n // result = Outer { s: 1234567890, ptr: Owned(\"owned\") }\n println!(\"result = {:?}\", result);\n}\n\n"},"deserialize-map.html":{"url":"deserialize-map.html","title":"Deserialize for custom map type","keywords":"","body":"Implement Deserialize for a custom map type\nuse std::fmt;\nuse std::marker::PhantomData;\n\nuse serde::de::{Deserialize, Deserializer, Visitor, MapAccess};\n\n// A Visitor is a type that holds methods that a Deserializer can drive\n// depending on what is contained in the input data.\n//\n// In the case of a map we need generic type parameters K and V to be\n// able to set the output type correctly, but don't require any state.\n// This is an example of a \"zero sized type\" in Rust. The PhantomData\n// keeps the compiler from complaining about unused generic type\n// parameters.\nstruct MyMapVisitor {\n marker: PhantomData MyMap>\n}\n\nimpl MyMapVisitor {\n fn new() -> Self {\n MyMapVisitor {\n marker: PhantomData\n }\n }\n}\n\n// This is the trait that Deserializers are going to be driving. There\n// is one method for each type of data that our type knows how to\n// deserialize from. There are many other methods that are not\n// implemented here, for example deserializing from integers or strings.\n// By default those methods will return an error, which makes sense\n// because we cannot deserialize a MyMap from an integer or string.\nimpl Visitor for MyMapVisitor\nwhere\n K: Deserialize,\n V: Deserialize,\n{\n // The type that our Visitor is going to produce.\n type Value = MyMap;\n\n // Format a message stating what data this Visitor expects to receive.\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n formatter.write_str(\"a very special map\")\n }\n\n // Deserialize MyMap from an abstract \"map\" provided by the\n // Deserializer. The MapAccess input is a callback provided by\n // the Deserializer to let us see each entry in the map.\n fn visit_map(self, mut access: M) -> Result\n where\n M: MapAccess,\n {\n let mut map = MyMap::with_capacity(access.size_hint().unwrap_or(0));\n\n // While there are entries remaining in the input, add them\n // into our map.\n while let Some((key, value)) = access.next_entry()? {\n map.insert(key, value);\n }\n\n Ok(map)\n }\n}\n\n// This is the trait that informs Serde how to deserialize MyMap.\nimpl Deserialize for MyMap\nwhere\n K: Deserialize,\n V: Deserialize,\n{\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer,\n {\n // Instantiate our Visitor and ask the Deserializer to drive\n // it over the input data, resulting in an instance of MyMap.\n deserializer.deserialize_map(MyMapVisitor::new())\n }\n}\n\n"},"stream-array.html":{"url":"stream-array.html","title":"Array of values without buffering","keywords":"","body":"Process an array of values without buffering into a Vec\nSuppose we have an array of integers and we want to figure out the maximum value\nwithout holding the whole array in memory all at once. This approach can be\nadapted to handle a variety of other situations in which data needs to be\nprocessed while being deserialized instead of after.\nuse serde::{Deserialize, Deserializer};\nuse serde::de::{self, Visitor, SeqAccess};\n\nuse std::{cmp, fmt};\nuse std::marker::PhantomData;\n\n#[derive(Deserialize)]\nstruct Outer {\n id: String,\n\n // Deserialize this field by computing the maximum value of a sequence\n // (JSON array) of values.\n #[serde(deserialize_with = \"deserialize_max\")]\n // Despite the struct field being named `max_value`, it is going to come\n // from a JSON field called `values`.\n #[serde(rename(deserialize = \"values\"))]\n max_value: u64,\n}\n\n/// Deserialize the maximum of a sequence of values. The entire sequence\n/// is not buffered into memory as it would be if we deserialize to Vec\n/// and then compute the maximum later.\n///\n/// This function is generic over T which can be any type that implements\n/// Ord. Above, it is used with T=u64.\nfn deserialize_max(deserializer: D) -> Result\nwhere\n T: Deserialize + Ord,\n D: Deserializer,\n{\n struct MaxVisitor(PhantomData T>);\n\n impl Visitor for MaxVisitor\n where\n T: Deserialize + Ord,\n {\n /// Return type of this visitor. This visitor computes the max of a\n /// sequence of values of type T, so the type of the maximum is T.\n type Value = T;\n\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n formatter.write_str(\"a nonempty sequence of numbers\")\n }\n\n fn visit_seq(self, mut seq: S) -> Result\n where\n S: SeqAccess,\n {\n // Start with max equal to the first value in the seq.\n let mut max = seq.next_element()?.ok_or_else(||\n // Cannot take the maximum of an empty seq.\n de::Error::custom(\"no values in seq when looking for maximum\")\n )?;\n\n // Update the max while there are additional values.\n while let Some(value) = seq.next_element()? {\n max = cmp::max(max, value);\n }\n\n Ok(max)\n }\n }\n\n // Create the visitor and ask the deserializer to drive it. The\n // deserializer will call visitor.visit_seq() if a seq is present in\n // the input data.\n let visitor = MaxVisitor(PhantomData);\n deserializer.deserialize_seq(visitor)\n}\n\nfn main() {\n let j = r#\"\n {\n \"id\": \"demo-deserialize-max\",\n \"values\": [\n 256,\n 100,\n 384,\n 314,\n 271\n ]\n }\n \"#;\n\n let out: Outer = serde_json::from_str(j).unwrap();\n\n // Prints \"max value: 384\"\n println!(\"max value: {}\", out.max_value);\n}\n\n"},"enum-number.html":{"url":"enum-number.html","title":"Serialize enum as number","keywords":"","body":"Serialize enum as number\nThe serde_repr crate provides alternative derive macros that derive the same\nSerialize and Deserialize traits but delegate to the underlying representation\nof a C-like enum. This allows C-like enums to be formatted as integers rather\nthan strings in JSON, for example.\n[dependencies]\nserde = \"1.0\"\nserde_json = \"1.0\"\nserde_repr = \"0.1\"\n\nuse serde_repr::*;\n\n#[derive(Serialize_repr, Deserialize_repr, PartialEq, Debug)]\n#[repr(u8)]\nenum SmallPrime {\n Two = 2,\n Three = 3,\n Five = 5,\n Seven = 7,\n}\n\nfn main() {\n use SmallPrime::*;\n let nums = vec![Two, Three, Five, Seven];\n\n // Prints [2,3,5,7]\n println!(\"{}\", serde_json::to_string(&nums).unwrap());\n\n assert_eq!(Two, serde_json::from_str(\"2\").unwrap());\n}\n\n"},"attr-rename.html":{"url":"attr-rename.html","title":"Serialize fields as camelCase","keywords":"","body":"Serialize fields as camelCase\nuse serde::Serialize;\n\n#[derive(Serialize)]\n#[serde(rename_all = \"camelCase\")]\nstruct Person {\n first_name: String,\n last_name: String,\n}\n\nfn main() {\n let person = Person {\n first_name: \"Graydon\".to_string(),\n last_name: \"Hoare\".to_string(),\n };\n\n let json = serde_json::to_string_pretty(&person).unwrap();\n\n // Prints:\n //\n // {\n // \"firstName\": \"Graydon\",\n // \"lastName\": \"Hoare\"\n // }\n println!(\"{}\", json);\n}\n\n"},"attr-skip-serializing.html":{"url":"attr-skip-serializing.html","title":"Skip serializing field","keywords":"","body":"Skip serializing field\nNOTE: Using skip_serializing does not skip deserializing the field. If\nyou only add the skip_serializing attribute, and then attempt to deserialize\nthe data, it will fail, as it will still attempt to deserialize the skipped\nfield. Please use the skip attribute to skip both serializing and\ndeserializing (see Field Attributes: skip). Likewise, use\nskip_deserializing to skip deserializing only.\nuse serde::Serialize;\n\nuse std::collections::BTreeMap as Map;\n\n#[derive(Serialize)]\nstruct Resource {\n // Always serialized.\n name: String,\n\n // Never serialized.\n #[serde(skip_serializing)]\n hash: String,\n\n // Use a method to decide whether the field should be skipped.\n #[serde(skip_serializing_if = \"Map::is_empty\")]\n metadata: Map,\n}\n\nfn main() {\n let resources = vec![\n Resource {\n name: \"Stack Overflow\".to_string(),\n hash: \"b6469c3f31653d281bbbfa6f94d60fea130abe38\".to_string(),\n metadata: Map::new(),\n },\n Resource {\n name: \"GitHub\".to_string(),\n hash: \"5cb7a0c47e53854cd00e1a968de5abce1c124601\".to_string(),\n metadata: {\n let mut metadata = Map::new();\n metadata.insert(\"headquarters\".to_string(),\n \"San Francisco\".to_string());\n metadata\n },\n },\n ];\n\n let json = serde_json::to_string_pretty(&resources).unwrap();\n\n // Prints:\n //\n // [\n // {\n // \"name\": \"Stack Overflow\"\n // },\n // {\n // \"name\": \"GitHub\",\n // \"metadata\": {\n // \"headquarters\": \"San Francisco\"\n // }\n // }\n // ]\n println!(\"{}\", json);\n}\n\n"},"remote-derive.html":{"url":"remote-derive.html","title":"Derive for remote crate","keywords":"","body":"Deriving De/Serialize for type in a different crate\nRust's orphan rule requires that either the trait or the type for which you\nare implementing the trait must be defined in the same crate as the impl, so it\nis not possible to implement Serialize and Deserialize for a type in a\ndifferent crate directly.\n- use serde::Serialize;\n- use other_crate::Duration;\n-\n- // Not allowed by orphan rule.\n- impl Serialize for Duration {\n- /* ... */\n- }\n\nTo work around this, Serde provides a way of deriving Serialize and\nDeserialize implementations for types in other people's crates. The only catch\nis that you have to provide a definition of the type for Serde's derive to\nprocess. At compile time, Serde will check that all the fields in the definition\nyou provided match the fields in the remote type.\n// Pretend that this is somebody else's crate, not a module.\nmod other_crate {\n // Neither Serde nor the other crate provides Serialize and Deserialize\n // impls for this struct.\n pub struct Duration {\n pub secs: i64,\n pub nanos: i32,\n }\n}\n\n////////////////////////////////////////////////////////////////////////////////\n\nuse other_crate::Duration;\nuse serde::{Serialize, Deserialize};\n\n// Serde calls this the definition of the remote type. It is just a copy of the\n// remote data structure. The `remote` attribute gives the path to the actual\n// type we intend to derive code for.\n#[derive(Serialize, Deserialize)]\n#[serde(remote = \"Duration\")]\nstruct DurationDef {\n secs: i64,\n nanos: i32,\n}\n\n// Now the remote type can be used almost like it had its own Serialize and\n// Deserialize impls all along. The `with` attribute gives the path to the\n// definition for the remote type. Note that the real type of the field is the\n// remote type, not the definition type.\n#[derive(Serialize, Deserialize)]\nstruct Process {\n command_line: String,\n\n #[serde(with = \"DurationDef\")]\n wall_time: Duration,\n}\n\nIf the remote type is a struct with all public fields or an enum, that's all\nthere is to it. If the remote type is a struct with one or more private fields,\ngetters must be provided for the private fields and a conversion must be\nprovided to construct the remote type.\n// Pretend that this is somebody else's crate, not a module.\nmod other_crate {\n // Neither Serde nor the other crate provides Serialize and Deserialize\n // impls for this struct. Oh, and the fields are private.\n pub struct Duration {\n secs: i64,\n nanos: i32,\n }\n\n impl Duration {\n pub fn new(secs: i64, nanos: i32) -> Self {\n Duration { secs: secs, nanos: nanos }\n }\n\n pub fn seconds(&self) -> i64 {\n self.secs\n }\n\n pub fn subsec_nanos(&self) -> i32 {\n self.nanos\n }\n }\n}\n\n////////////////////////////////////////////////////////////////////////////////\n\nuse other_crate::Duration;\nuse serde::{Serialize, Deserialize};\n\n// Provide getters for every private field of the remote struct. The getter must\n// return either `T` or `&T` where `T` is the type of the field.\n#[derive(Serialize, Deserialize)]\n#[serde(remote = \"Duration\")]\nstruct DurationDef {\n #[serde(getter = \"Duration::seconds\")]\n secs: i64,\n #[serde(getter = \"Duration::subsec_nanos\")]\n nanos: i32,\n}\n\n// Provide a conversion to construct the remote type.\nimpl From for Duration {\n fn from(def: DurationDef) -> Duration {\n Duration::new(def.secs, def.nanos)\n }\n}\n\n#[derive(Serialize, Deserialize)]\nstruct Process {\n command_line: String,\n\n #[serde(with = \"DurationDef\")]\n wall_time: Duration,\n}\n\nInvoking the remote impl directly\nAs shown above, the remote impl is intended to be invoked through a\n#[serde(with = \"...\")] attribute on a field of some other struct.\nInvoking the remote impl directly, such as if this is the top-level type being\nserialized or deserialized, is somewhat more complicated because of the orphan\nrules as mentioned. The code ultimately generated by these remote derives are\nnot Serialize and Deserialize impls but associated functions with the same\nsignature.\n// Technically this derive does not produce a Deserialize impl for Duration, nor\n// a Deserialize impl for DurationDef.\n//\n// Instead it produces a deserialization method DurationDef::deserialize whose\n// return type is Duration. The method has the same signature as a Deserialize\n// impl for Duration would have but is not a Deserialize impl.\n#[derive(Deserialize)]\n#[serde(remote = \"Duration\")]\nstruct DurationDef {\n secs: i64,\n nanos: i32,\n}\n\nKnowing this, the generated method can be invoked directly by passing a\nDeserializer implementation.\nlet mut de = serde_json::Deserializer::from_str(j);\nlet dur = DurationDef::deserialize(&mut de)?;\n\n// `dur` has type Duration\n\nAlternatively we can write a top-level newtype wrapper as a private helper for\ndeserializing the remote type.\n#[derive(Deserialize)]\nstruct Helper(#[serde(with = \"DurationDef\")] Duration);\n\nlet dur = serde_json::from_str(j).map(|Helper(dur)| dur)?;\n\n// `dur` has type Duration\n\n"},"deserialize-struct.html":{"url":"deserialize-struct.html","title":"Manually deserialize struct","keywords":"","body":"Manually implementing Deserialize for a struct\nOnly when derive is not getting the job done.\nThe Deserialize impl below corresponds to the following struct:\nstruct Duration {\n secs: u64,\n nanos: u32,\n}\n\nDeserializing a struct is somewhat more complicated than deserializing a\nmap in order to avoid allocating a String to hold the field\nnames. Instead there is a Field enum which is deserialized from a &str.\nThe implementation supports two possible ways that a struct may be represented\nby a data format: as a seq like in Postcard, and as a map like in JSON.\nuse std::fmt;\n\nuse serde::de::{self, Deserialize, Deserializer, Visitor, SeqAccess, MapAccess};\n\nimpl Deserialize for Duration {\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer,\n {\n enum Field { Secs, Nanos }\n\n // This part could also be generated independently by:\n //\n // #[derive(Deserialize)]\n // #[serde(field_identifier, rename_all = \"lowercase\")]\n // enum Field { Secs, Nanos }\n impl Deserialize for Field {\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer,\n {\n struct FieldVisitor;\n\n impl Visitor for FieldVisitor {\n type Value = Field;\n\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n formatter.write_str(\"`secs` or `nanos`\")\n }\n\n fn visit_str(self, value: &str) -> Result\n where\n E: de::Error,\n {\n match value {\n \"secs\" => Ok(Field::Secs),\n \"nanos\" => Ok(Field::Nanos),\n _ => Err(de::Error::unknown_field(value, FIELDS)),\n }\n }\n }\n\n deserializer.deserialize_identifier(FieldVisitor)\n }\n }\n\n struct DurationVisitor;\n\n impl Visitor for DurationVisitor {\n type Value = Duration;\n\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n formatter.write_str(\"struct Duration\")\n }\n\n fn visit_seq(self, mut seq: V) -> Result\n where\n V: SeqAccess,\n {\n let secs = seq.next_element()?\n .ok_or_else(|| de::Error::invalid_length(0, &self))?;\n let nanos = seq.next_element()?\n .ok_or_else(|| de::Error::invalid_length(1, &self))?;\n Ok(Duration::new(secs, nanos))\n }\n\n fn visit_map(self, mut map: V) -> Result\n where\n V: MapAccess,\n {\n let mut secs = None;\n let mut nanos = None;\n while let Some(key) = map.next_key()? {\n match key {\n Field::Secs => {\n if secs.is_some() {\n return Err(de::Error::duplicate_field(\"secs\"));\n }\n secs = Some(map.next_value()?);\n }\n Field::Nanos => {\n if nanos.is_some() {\n return Err(de::Error::duplicate_field(\"nanos\"));\n }\n nanos = Some(map.next_value()?);\n }\n }\n }\n let secs = secs.ok_or_else(|| de::Error::missing_field(\"secs\"))?;\n let nanos = nanos.ok_or_else(|| de::Error::missing_field(\"nanos\"))?;\n Ok(Duration::new(secs, nanos))\n }\n }\n\n const FIELDS: &'static [&'static str] = &[\"secs\", \"nanos\"];\n deserializer.deserialize_struct(\"Duration\", FIELDS, DurationVisitor)\n }\n}\n\n"},"ignored-any.html":{"url":"ignored-any.html","title":"Discarding data","keywords":"","body":"Discarding data\nThe IgnoredAny type gives an efficient way of discarding data from a\ndeserializer.\nThink of this like serde_json::Value in that it can be deserialized from\nany type, except that it does not store any information about the data that\ngets deserialized.\nuse std::fmt;\nuse std::marker::PhantomData;\n\nuse serde::de::{\n self, Deserialize, DeserializeSeed, Deserializer, Visitor, SeqAccess,\n IgnoredAny,\n};\nuse serde_json::json;\n\n// A seed that can be used to deserialize only the `n`th element of a sequence\n// while efficiently discarding elements of any type before or after index `n`.\n//\n// For example to deserialize only the element at index 3:\n//\n// NthElement::new(3).deserialize(deserializer)\npub struct NthElement {\n n: usize,\n marker: PhantomData T>,\n}\n\nimpl NthElement {\n pub fn new(n: usize) -> Self {\n NthElement {\n n: n,\n marker: PhantomData,\n }\n }\n}\n\nimpl Visitor for NthElement\nwhere\n T: Deserialize,\n{\n type Value = T;\n\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n write!(formatter, \"a sequence in which we care about element {}\", self.n)\n }\n\n fn visit_seq(self, mut seq: V) -> Result\n where\n V: SeqAccess,\n {\n // Skip over the first `n` elements.\n for i in 0..self.n {\n // It is an error if the sequence ends before we get to element `n`.\n if seq.next_element::()?.is_none() {\n return Err(de::Error::invalid_length(i, &self));\n }\n }\n\n // Deserialize the one we care about.\n let nth = seq.next_element()?\n .ok_or_else(|| de::Error::invalid_length(self.n, &self))?;\n\n // Skip over any remaining elements in the sequence after `n`.\n while let Some(IgnoredAny) = seq.next_element()? {\n // ignore\n }\n\n Ok(nth)\n }\n}\n\nimpl DeserializeSeed for NthElement\nwhere\n T: Deserialize,\n{\n type Value = T;\n\n fn deserialize(self, deserializer: D) -> Result\n where\n D: Deserializer,\n {\n deserializer.deserialize_seq(self)\n }\n}\n\nfn main() {\n let array = json!([\"a\", \"b\", \"c\", \"d\", \"e\"]);\n\n let nth: String = NthElement::new(3).deserialize(&array).unwrap();\n\n println!(\"{}\", nth);\n assert_eq!(nth, array[3]);\n}\n\n"},"transcode.html":{"url":"transcode.html","title":"Transcode into another format","keywords":"","body":"Transcode one format into another\nThe serde-transcode crate\nprovides functionality to \"transcode\" from an arbitrary Serde Deserializer to\nan arbitrary Serde Serializer without needing to collect the entire input into\nan intermediate form in memory. This provides a fully general way to convert any\nself-describing Serde data format into any other Serde data format in a\nmemory-efficient streaming way.\nFor example you could transcode a stream of JSON data into a stream of CBOR\ndata, or transcode unformatted JSON into its pretty-printed form.\nThis example implements the equivalent of Go's\njson.Compact function which\nremoves insignificant whitespace from a JSON string in a streaming way.\nuse std::io;\n\nfn main() {\n // A JSON input with plenty of whitespace.\n let input = r#\"\n {\n \"a boolean\": true,\n \"an array\": [3, 2, 1]\n }\n \"#;\n\n // A JSON deserializer. You can use any Serde Deserializer here.\n let mut deserializer = serde_json::Deserializer::from_str(input);\n\n // A compacted JSON serializer. You can use any Serde Serializer here.\n let mut serializer = serde_json::Serializer::new(io::stdout());\n\n // Prints `{\"a boolean\":true,\"an array\":[3,2,1]}` to stdout.\n // This line works with any self-describing Deserializer and any Serializer.\n serde_transcode::transcode(&mut deserializer, &mut serializer).unwrap();\n}\n\n"},"string-or-struct.html":{"url":"string-or-struct.html","title":"Either string or struct","keywords":"","body":"Deserialize either a string or a struct\nThe docker-compose.yml\nconfiguration file has a \"build\" key which can be either a string or a struct.\nbuild: ./dir\n\n# --- or ---\n\nbuild:\n context: ./dir\n dockerfile: Dockerfile-alternate\n args:\n buildno: 1\n\nThe configuration file uses the same pattern in other places as well, typically\nwhere a previously existing string field has been expanded to handle more\ncomplex data.\nWe can use Rust's\nFromStr trait and\nSerde's deserialize_with attribute to handle this pattern in a general way.\nuse std::collections::BTreeMap as Map;\nuse std::fmt;\nuse std::marker::PhantomData;\nuse std::str::FromStr;\n\nuse serde::{Deserialize, Deserializer};\nuse serde::de::{self, Visitor, MapAccess};\nuse void::Void;\n\nfn main() {\n let build_string = \"\n build: ./dir\n \";\n let service: Service = serde_yaml::from_str(build_string).unwrap();\n\n // context=\"./dir\"\n // dockerfile=None\n // args={}\n println!(\"{:?}\", service);\n\n let build_struct = \"\n build:\n context: ./dir\n dockerfile: Dockerfile-alternate\n args:\n buildno: '1'\n \";\n let service: Service = serde_yaml::from_str(build_struct).unwrap();\n\n // context=\"./dir\"\n // dockerfile=Some(\"Dockerfile-alternate\")\n // args={\"buildno\": \"1\"}\n println!(\"{:?}\", service);\n}\n\n#[derive(Debug, Deserialize)]\nstruct Service {\n // The `string_or_struct` function delegates deserialization to a type's\n // `FromStr` impl if given a string, and to the type's `Deserialize` impl if\n // given a struct. The function is generic over the field type T (here T is\n // `Build`) so it can be reused for any field that implements both `FromStr`\n // and `Deserialize`.\n #[serde(deserialize_with = \"string_or_struct\")]\n build: Build,\n}\n\n#[derive(Debug, Deserialize)]\nstruct Build {\n // This is the only required field.\n context: String,\n\n dockerfile: Option,\n\n // When `args` is not present in the input, this attribute tells Serde to\n // use `Default::default()` which in this case is an empty map. See the\n // \"default value for a field\" example for more about `#[serde(default)]`.\n #[serde(default)]\n args: Map,\n}\n\n// The `string_or_struct` function uses this impl to instantiate a `Build` if\n// the input file contains a string and not a struct. According to the\n// docker-compose.yml documentation, a string by itself represents a `Build`\n// with just the `context` field set.\n//\n// > `build` can be specified either as a string containing a path to the build\n// > context, or an object with the path specified under context and optionally\n// > dockerfile and args.\nimpl FromStr for Build {\n // This implementation of `from_str` can never fail, so use the impossible\n // `Void` type as the error type.\n type Err = Void;\n\n fn from_str(s: &str) -> Result {\n Ok(Build {\n context: s.to_string(),\n dockerfile: None,\n args: Map::new(),\n })\n }\n}\n\nfn string_or_struct(deserializer: D) -> Result\nwhere\n T: Deserialize + FromStr,\n D: Deserializer,\n{\n // This is a Visitor that forwards string types to T's `FromStr` impl and\n // forwards map types to T's `Deserialize` impl. The `PhantomData` is to\n // keep the compiler from complaining about T being an unused generic type\n // parameter. We need T in order to know the Value type for the Visitor\n // impl.\n struct StringOrStruct(PhantomData T>);\n\n impl Visitor for StringOrStruct\n where\n T: Deserialize + FromStr,\n {\n type Value = T;\n\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n formatter.write_str(\"string or map\")\n }\n\n fn visit_str(self, value: &str) -> Result\n where\n E: de::Error,\n {\n Ok(FromStr::from_str(value).unwrap())\n }\n\n fn visit_map(self, map: M) -> Result\n where\n M: MapAccess,\n {\n // `MapAccessDeserializer` is a wrapper that turns a `MapAccess`\n // into a `Deserializer`, allowing it to be used as the input to T's\n // `Deserialize` implementation. T then deserializes itself using\n // the entries from the map visitor.\n Deserialize::deserialize(de::value::MapAccessDeserializer::new(map))\n }\n }\n\n deserializer.deserialize_any(StringOrStruct(PhantomData))\n}\n\n"},"convert-error.html":{"url":"convert-error.html","title":"Convert error types","keywords":"","body":"Converting error types\nIn some situations, values in some format must be contained inside of data in\nsome other format. 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\n \n \n\n\n\nSerde\nSerde is a framework for serializing and deserializing Rust data\nstructures efficiently and generically.\nThe Serde ecosystem consists of data structures that know how to serialize and\ndeserialize themselves along with data formats that know how to serialize and\ndeserialize other things. Serde provides the layer by which these two groups\ninteract with each other, allowing any supported data structure to be serialized\nand deserialized using any supported data format.\n\n\nDesign\nWhere many other languages rely on runtime reflection for serializing data,\nSerde is instead built on Rust's powerful trait system. A data structure that\nknows how to serialize and deserialize itself is one that implements Serde's\nSerialize and Deserialize traits (or uses Serde's derive attribute to\nautomatically generate implementations at compile time). This avoids any\noverhead of reflection or runtime type information. In fact in many situations\nthe interaction between data structure and data format can be completely\noptimized away by the Rust compiler, leaving Serde serialization to perform\nthe same speed as a handwritten serializer for the specific selection of data\nstructure and data format.\nData formats\nThe following is a partial list of data formats that have been implemented for\nSerde by the community.\n\nJSON, the ubiquitous JavaScript Object Notation used by many HTTP APIs.\nPostcard, a no_std and embedded-systems friendly compact binary format.\nCBOR, a Concise Binary Object Representation designed for small message size\nwithout the need for version negotiation.\nYAML, a self-proclaimed human-friendly configuration language that ain't\nmarkup language.\nMessagePack, an efficient binary format that resembles a compact JSON.\nTOML, a minimal configuration format used by Cargo.\nPickle, a format common in the Python world.\nRON, a Rusty Object Notation.\nBSON, the data storage and network transfer format used by MongoDB.\nAvro, a binary format used within Apache Hadoop, with support for schema\ndefinition.\nJSON5, a superset of JSON including some productions from ES5.\nURL query strings, in the x-www-form-urlencoded format.\nStarlark, the format used for describing build targets by the Bazel and Buck\nbuild systems. (serialization only)\nEnvy, a way to deserialize environment variables into Rust structs.\n(deserialization only)\nEnvy Store, a way to deserialize AWS Parameter Store parameters into Rust\nstructs. (deserialization only)\nS-expressions, the textual representation of code and data used by the Lisp\nlanguage family.\nD-Bus's binary wire format.\nFlexBuffers, the schemaless cousin of Google's FlatBuffers zero-copy\nserialization format.\nBencode, a simple binary format used in the BitTorrent protocol.\nToken streams, for processing Rust procedural macro input. (deserialization\nonly)\nDynamoDB Items, the format used by rusoto_dynamodb to transfer data to\nand from DynamoDB.\nHjson, a syntax extension to JSON designed around human reading and editing.\n(deserialization only)\nCSV, Comma-separated values is a tabular text file format.\n\nData structures\nOut of the box, Serde is able to serialize and deserialize common Rust data\ntypes in any of the above formats. For example String, &str, usize,\nVec, HashMap are all supported. In addition, Serde provides a derive\nmacro to generate serialization implementations for structs in your own program.\nUsing the derive macro goes like this:\nuse serde::{Serialize, Deserialize};\n\n#[derive(Serialize, Deserialize, Debug)]\nstruct Point {\n x: i32,\n y: i32,\n}\n\nfn main() {\n let point = Point { x: 1, y: 2 };\n\n // Convert the Point to a JSON string.\n let serialized = serde_json::to_string(&point).unwrap();\n\n // Prints serialized = {\"x\":1,\"y\":2}\n println!(\"serialized = {}\", serialized);\n\n // Convert the JSON string back to a Point.\n let deserialized: Point = serde_json::from_str(&serialized).unwrap();\n\n // Prints deserialized = Point { x: 1, y: 2 }\n println!(\"deserialized = {:?}\", deserialized);\n}\n\n"},"help.html":{"url":"help.html","title":"Help","keywords":"","body":"Getting help\nSerde is one of the most widely used Rust libraries so any place that Rustaceans\ncongregate will be able to help you out. For chat, consider trying the\n#rust-questions or #rust-beginners channels of the unofficial community\nDiscord (invite: https://discord.gg/rust-lang-community), the\n#rust-usage or #beginners channels of the official Rust Project Discord\n(invite: https://discord.gg/rust-lang), or the #general stream\nin Zulip. For asynchronous, consider the [rust] tag on\nStackOverflow, the /r/rust subreddit which has a pinned weekly\neasy questions post, or the Rust Discourse forum.\n"},"data-model.html":{"url":"data-model.html","title":"Serde data model","keywords":"","body":"Serde data model\nThe Serde data model is the API by which data structures and data formats\ninteract. You can think of it as Serde's type system.\nIn code, the serialization half of the Serde data model is defined by the\nSerializer trait and the deserialization half is defined by the\nDeserializer trait. These are a way of mapping every Rust data structure\ninto one of 29 possible types. Each method of the Serializer trait corresponds\nto one of the types of the data model.\nWhen serializing a data structure to some format, the Serialize\nimplementation for the data structure is responsible for mapping the data\nstructure into the Serde data model by invoking exactly one of the Serializer\nmethods, while the Serializer implementation for the data format is\nresponsible for mapping the Serde data model into the intended output\nrepresentation.\nWhen deserializing a data structure from some format, the Deserialize\nimplementation for the data structure is responsible for mapping the data\nstructure into the Serde data model by passing to the Deserializer a\nVisitor implementation that can receive the various types of the data model,\nwhile the Deserializer implementation for the data format is responsible for\nmapping the input data into the Serde data model by invoking exactly one of the\nVisitor methods.\nTypes\nThe Serde data model is a simplified form of Rust's type system. It consists of\nthe following 29 types:\n\n14 primitive types\nbool\ni8, i16, i32, i64, i128\nu8, u16, u32, u64, u128\nf32, f64\nchar\n\n\nstring\nUTF-8 bytes with a length and no null terminator. May contain 0-bytes.\nWhen serializing, all strings are handled equally. When deserializing, there\nare three flavors of strings: transient, owned, and borrowed. This\ndistinction is explained in Understanding deserializer lifetimes and is a\nkey way that Serde enabled efficient zero-copy deserialization.\n\n\nbyte array - [u8]\nSimilar to strings, during deserialization byte arrays can be transient,\nowned, or borrowed.\n\n\noption\nEither none or some value.\n\n\nunit\nThe type of () in Rust. It represents an anonymous value containing no\ndata.\n\n\nunit_struct\nFor example struct Unit or PhantomData. It represents a named value\ncontaining no data.\n\n\nunit_variant\nFor example the E::A and E::B in enum E { A, B }.\n\n\nnewtype_struct\nFor example struct Millimeters(u8).\n\n\nnewtype_variant\nFor example the E::N in enum E { N(u8) }.\n\n\nseq\nA variably sized heterogeneous sequence of values, for example Vec or\nHashSet. When serializing, the length may or may not be known before\niterating through all the data. When deserializing, the length is determined\nby looking at the serialized data. Note that a homogeneous Rust collection\nlike vec![Value::Bool(true), Value::Char('c')] may serialize as a\nheterogeneous Serde seq, in this case containing a Serde bool followed by a\nSerde char.\n\n\ntuple\nA statically sized heterogeneous sequence of values for which the length\nwill be known at deserialization time without looking at the serialized\ndata, for example (u8,) or (String, u64, Vec) or [u64; 10].\n\n\ntuple_struct\nA named tuple, for example struct Rgb(u8, u8, u8).\n\n\ntuple_variant\nFor example the E::T in enum E { T(u8, u8) }.\n\n\nmap\nA variably sized heterogeneous key-value pairing, for example BTreeMap. When serializing, the length may or may not be known before iterating\nthrough all the entries. When deserializing, the length is determined by\nlooking at the serialized data.\n\n\nstruct\nA statically sized heterogeneous key-value pairing in which the keys are\ncompile-time constant strings and will be known at deserialization time\nwithout looking at the serialized data, for example struct S { r: u8, g:\nu8, b: u8 }.\n\n\nstruct_variant\nFor example the E::S in enum E { S { r: u8, g: u8, b: u8 } }.\n\n\n\nMapping into the data model\nIn the case of most Rust types, their mapping into the Serde data model is\nstraightforward. For example the Rust bool type corresponds to Serde's bool\ntype. The Rust tuple struct Rgb(u8, u8, u8) corresponds to Serde's tuple\nstruct type.\nBut there is no fundamental reason that these mappings need to be\nstraightforward. The Serialize and Deserialize traits can perform any\nmapping between Rust type and Serde data model that is appropriate for the use\ncase.\nAs an example, consider Rust's std::ffi::OsString type. This type represents\na platform-native string. On Unix systems they are arbitrary non-zero bytes and\non Windows systems they are arbitrary non-zero 16-bit values. It may seem\nnatural to map OsString into the Serde data model as one of the following\ntypes:\n\nAs a Serde string. Unfortunately serialization would be brittle because an\nOsString is not guaranteed to be representable in UTF-8 and deserialization\nwould be brittle because Serde strings are allowed to contain 0-bytes.\nAs a Serde byte array. This fixes both problems with using string, but now\nif we serialize an OsString on Unix and deserialize it on Windows we end up\nwith the wrong string.\n\nInstead the Serialize and Deserialize impls for OsString map into the\nSerde data model by treating OsString as a Serde enum. Effectively it acts\nas though OsString were defined as the following type, even though this does\nnot match its definition on any individual platform.\nenum OsString {\n Unix(Vec),\n Windows(Vec),\n // and other platforms\n}\n\nThe flexibility around mapping into the Serde data model is profound and\npowerful. When implementing Serialize and Deserialize, be aware of the\nbroader context of your type that may make the most instinctive mapping not the\nbest choice.\n"},"derive.html":{"url":"derive.html","title":"Using derive","keywords":"","body":"Using derive\nSerde provides a derive macro to generate implementations of the Serialize and\nDeserialize traits for data structures defined in your crate, allowing them to\nbe represented conveniently in all of Serde's data formats.\nYou only need to set this up if your code is using #[derive(Serialize,\nDeserialize)].\nThis functionality is based on Rust's #[derive] mechanism, just like what you\nwould use to automatically derive implementations of the built-in Clone,\nCopy, Debug, or other traits. It is able to generate implementations for\nmost structs and enums including ones with elaborate generic types or trait\nbounds. On rare occasions, for an especially convoluted type you may need to\nimplement the traits manually.\nThese derives require a Rust compiler version 1.31 or newer.\n\nAdd serde = { version = \"1.0\", features = [\"derive\"] } as a dependency in\nCargo.toml.\nEnsure that all other Serde-based dependencies (for example serde_json) are on\na version that is compatible with serde 1.0.\nOn structs and enums that you want to serialize, import the derive macro as\nuse serde::Serialize; within the same module and write\n#[derive(Serialize)] on the struct or enum.\nSimilarly import use serde::Deserialize; and write #[derive(Deserialize)]\non structs and enums that you want to deserialize.\n\nHere is the Cargo.toml:\nCargo.toml\n[package]\nname = \"my-crate\"\nversion = \"0.1.0\"\nauthors = [\"Me \"]\n\n[dependencies]\nserde = { version = \"1.0\", features = [\"derive\"] }\n\n# serde_json is just for the example, not required in general\nserde_json = \"1.0\"\n\nNow the src/main.rs which uses Serde's custom derives:\nsrc/main.rs\nuse serde::{Serialize, Deserialize};\n\n#[derive(Serialize, Deserialize, Debug)]\nstruct Point {\n x: i32,\n y: i32,\n}\n\nfn main() {\n let point = Point { x: 1, y: 2 };\n\n let serialized = serde_json::to_string(&point).unwrap();\n println!(\"serialized = {}\", serialized);\n\n let deserialized: Point = serde_json::from_str(&serialized).unwrap();\n println!(\"deserialized = {:?}\", deserialized);\n}\n\nHere is the output:\n$ cargo run\nserialized = {\"x\":1,\"y\":2}\ndeserialized = Point { x: 1, y: 2 }\nTroubleshooting\nSometimes you may see compile-time errors that tell you:\nthe trait `serde::ser::Serialize` is not implemented for `...`\neven though the struct or enum clearly has #[derive(Serialize)] on it.\nThis almost always means that you are using libraries that depend on\nincompatible versions of Serde. You may be depending on serde 1.0 in your\nCargo.toml but using some other library that depends on serde 0.9. So the\nSerialize trait from serde 1.0 may be implemented, but the library expects an\nimplementation of the Serialize trait from serde 0.9. From the Rust compiler's\nperspective these are totally different traits.\nThe fix is to upgrade or downgrade libraries as appropriate until the Serde\nversions match. The cargo tree -d command is helpful for finding all the\nplaces that duplicate dependencies are being pulled in.\n"},"attributes.html":{"url":"attributes.html","title":"Attributes","keywords":"","body":"Attributes\nAttributes are used to customize the Serialize and Deserialize\nimplementations produced by Serde's derive. They require a Rust compiler version\n1.15 or newer.\nThere are three categories of attributes:\n\nContainer attributes — apply to a struct or enum declaration.\nVariant attributes — apply to a variant of an enum.\nField attributes — apply to one field in a struct or in an enum variant.\n\n#[derive(Serialize, Deserialize)]\n#[serde(deny_unknown_fields)] // \nNote that a single struct, enum, variant, or field may have multiple attributes\non it.\n"},"container-attrs.html":{"url":"container-attrs.html","title":"Container attributes","keywords":"","body":"Container attributes\n\n#[serde(rename = \"name\")] \nSerialize and deserialize this struct or enum with the given name instead of\nits Rust name.\nAllows specifying independent names for serialization vs deserialization:\n\n#[serde(rename(serialize = \"ser_name\"))]\n#[serde(rename(deserialize = \"de_name\"))]\n#[serde(rename(serialize = \"ser_name\", deserialize = \"de_name\"))]\n\n\n#[serde(rename_all = \"...\")] \nRename all the fields (if this is a struct) or variants (if this is an enum)\naccording to the given case convention. The possible values are \"lowercase\",\n\"UPPERCASE\", \"PascalCase\", \"camelCase\", \"snake_case\",\n\"SCREAMING_SNAKE_CASE\", \"kebab-case\", \"SCREAMING-KEBAB-CASE\".\nAllows specifying independent cases for serialization vs deserialization:\n\n#[serde(rename_all(serialize = \"...\"))]\n#[serde(rename_all(deserialize = \"...\"))]\n#[serde(rename_all(serialize = \"...\", deserialize = \"...\"))]\n\n\n#[serde(deny_unknown_fields)] \nAlways error during deserialization when encountering unknown fields. When\nthis attribute is not present, by default unknown fields are ignored for\nself-describing formats like JSON.\nNote: this attribute is not supported in combination with flatten,\nneither on the outer struct nor on the flattened field.\n\n\n\n#[serde(tag = \"type\")] \nOn an enum: Use the internally tagged enum representation, with the given tag.\nSee enum representations for details on this\nrepresentation.\nOn a struct with named fields: Serialize the struct's name (or value of\nserde(rename)) as a field with the given key, in front of all the real\nfields of the struct.\n\n#[serde(tag = \"t\", content = \"c\")] \nUse the adjacently tagged enum representation for this enum, with the given\nfield names for the tag and content. See enum\nrepresentations for details on this representation.\n\n#[serde(untagged)] \nUse the untagged enum representation for this enum. See enum\nrepresentations for details on this representation.\n\n#[serde(bound = \"T: MyTrait\")] \nWhere-clause for the Serialize and Deserialize impls. This replaces any\ntrait bounds inferred by Serde.\nAllows specifying independent bounds for serialization vs deserialization:\n\n#[serde(bound(serialize = \"T: MySerTrait\"))]\n#[serde(bound(deserialize = \"T: MyDeTrait\"))]\n#[serde(bound(serialize = \"T: MySerTrait\", deserialize = \"T: MyDeTrait\"))]\n\n\n#[serde(default)] \nWhen deserializing, any missing fields should be filled in from the struct's\nimplementation of Default. Only allowed on structs.\n\n#[serde(default = \"path\")] \nWhen deserializing, any missing fields should be filled in from the object\nreturned by the given function or method. The function must be callable as\nfn() -> T. For example default = \"my_default\" would invoke my_default()\nand default = \"SomeTrait::some_default\" would invoke\nSomeTrait::some_default(). Only allowed on structs.\n\n#[serde(remote = \"...\")] \nThis is used for deriving Serialize and Deserialize for remote\ntypes.\n\n#[serde(transparent)] \nSerialize and deserialize a newtype struct or a braced struct with one field\nexactly the same as if its one field were serialized and deserialized by\nitself. Analogous to #[repr(transparent)].\n\n#[serde(from = \"FromType\")] \nDeserialize this type by deserializing into FromType, then converting. This\ntype must implement From, and FromType must implement\nDeserialize.\n\n#[serde(try_from = \"FromType\")] \nDeserialize this type by deserializing into FromType, then converting\nfallibly. This type must implement TryFrom with an error type that\nimplements Display, and FromType must implement Deserialize.\n\n#[serde(into = \"IntoType\")] \nSerialize this type by converting it into the specified IntoType and\nserializing that. This type must implement Clone and Into, and\nIntoType must implement Serialize.\n\n#[serde(crate = \"...\")] \nSpecify a path to the serde crate instance to use when referring to Serde\nAPIs from generated code. This is normally only applicable when invoking\nre-exported Serde derives from a public macro in a different crate.\n\n#[serde(expecting = \"...\")] \nSpecify a custom type expectation text for deserialization error messages.\nThis is used by the generated expecting method for the container Visitor,\nand as a fallthrough error message for untagged enums.\n\n\n"},"variant-attrs.html":{"url":"variant-attrs.html","title":"Variant attributes","keywords":"","body":"Variant attributes\n\n#[serde(rename = \"name\")] \nSerialize and deserialize this variant with the given name instead of its Rust\nname.\nAllows specifying independent names for serialization vs deserialization:\n\n#[serde(rename(serialize = \"ser_name\"))]\n#[serde(rename(deserialize = \"de_name\"))]\n#[serde(rename(serialize = \"ser_name\", deserialize = \"de_name\"))]\n\n\n#[serde(alias = \"name\")] \nDeserialize this variant from the given name or from its Rust name. May be\nrepeated to specify multiple possible names for the same variant.\n\n#[serde(rename_all = \"...\")] \nRename all the fields of this struct variant according to the given case\nconvention. The possible values are \"lowercase\", \"UPPERCASE\",\n\"PascalCase\", \"camelCase\", \"snake_case\", \"SCREAMING_SNAKE_CASE\",\n\"kebab-case\", \"SCREAMING-KEBAB-CASE\".\nAllows specifying independent cases for serialization vs deserialization:\n\n#[serde(rename_all(serialize = \"...\"))]\n#[serde(rename_all(deserialize = \"...\"))]\n#[serde(rename_all(serialize = \"...\", deserialize = \"...\"))]\n\n\n#[serde(skip)] \nNever serialize or deserialize this variant.\n\n#[serde(skip_serializing)] \nNever serialize this variant. Trying to serialize this variant is treated as\nan error.\n\n#[serde(skip_deserializing)] \nNever deserialize this variant.\n\n#[serde(serialize_with = \"path\")] \nSerialize this variant using a function that is different from its\nimplementation of Serialize. The given function must be callable as\nfn(&FIELD0, &FIELD1, ..., S) -> Result where S:\nSerializer, although it may also be generic over the FIELD{n} types.\nVariants used with serialize_with are not required to be able to derive\nSerialize.\nFIELD{n} exists for every field of the variant. So a unit variant has just\nthe S argument, and tuple/struct variants have an argument for every field.\n\n#[serde(deserialize_with = \"path\")] \nDeserialize this variant using a function that is different from its\nimplementation of Deserialize. The given function must be callable as\nfn(D) -> Result where D: Deserializer,\nalthough it may also be generic over the elements of FIELDS. Variants used\nwith deserialize_with are not required be able to derive Deserialize.\nFIELDS is a tuple of all fields of the variant. A unit variant will have\n() as its FIELDS type.\n\n#[serde(with = \"module\")] \nCombination of serialize_with and deserialize_with. Serde will use\n$module::serialize as the serialize_with function and\n$module::deserialize as the deserialize_with function.\n\n#[serde(bound = \"T: MyTrait\")] \nWhere-clause for the Serialize and/or Deserialize impls. This replaces any\ntrait bounds inferred by Serde for the current variant.\nAllows specifying independent bounds for serialization vs deserialization:\n\n#[serde(bound(serialize = \"T: MySerTrait\"))]\n#[serde(bound(deserialize = \"T: MyDeTrait\"))]\n#[serde(bound(serialize = \"T: MySerTrait\", deserialize = \"T: MyDeTrait\"))]\n\n\n#[serde(borrow)] and #[serde(borrow = \"'a + 'b + ...\")] \nBorrow data for this field from the deserializer by using zero-copy\ndeserialization. See this example.\nOnly allowed on a newtype variant (a tuple variant with only one field).\n\n#[serde(other)] \nDeserialize this variant if the enum tag is anything other than the tag of one\nof the other variants in this enum. Only allowed on a unit variant inside of\nan internally tagged or adjacently tagged enum.\nFor example if we have an internally tagged enum with serde(tag = \"variant\")\ncontaining variants A, B, and Unknown marked serde(other), the\nUnknown variant would be deserialized any time the \"variant\" field of the\ninput is neither \"A\" nor \"B\".\n\n#[serde(untagged)] \nIrrespective of the enum representation, serialize\nand deserialize this variant as untagged, i.e. simply as the variant's data\nwith no record of the variant name.\nUntagged variants must be ordered last in the enum definition.\n\n\n"},"field-attrs.html":{"url":"field-attrs.html","title":"Field attributes","keywords":"","body":"Field attributes\n\n#[serde(rename = \"name\")] \nSerialize and deserialize this field with the given name instead of its Rust\nname. This is useful for serializing fields as camelCase or\nserializing fields with names that are reserved Rust keywords.\nAllows specifying independent names for serialization vs deserialization:\n\n#[serde(rename(serialize = \"ser_name\"))]\n#[serde(rename(deserialize = \"de_name\"))]\n#[serde(rename(serialize = \"ser_name\", deserialize = \"de_name\"))]\n\n\n#[serde(alias = \"name\")] \nDeserialize this field from the given name or from its Rust name. May be\nrepeated to specify multiple possible names for the same field.\n\n#[serde(default)] \nIf the value is not present when deserializing, use the Default::default().\n\n#[serde(default = \"path\")] \nIf the value is not present when deserializing, call a function to get a\ndefault value. The given function must be callable as fn() -> T. For example\ndefault = \"empty_value\" would invoke empty_value() and default =\n\"SomeTrait::some_default\" would invoke SomeTrait::some_default().\n\n#[serde(flatten)] \nFlatten the contents of this field into the container it is defined in.\nThis removes one level of structure between the serialized representation and\nthe Rust data structure representation. It can be used for factoring common\nkeys into a shared structure, or for capturing remaining fields into a map\nwith arbitrary string keys. The struct flattening page\nprovides some examples.\nNote: this attribute is not supported in combination with structs that use\ndeny_unknown_fields. Neither the outer nor inner flattened struct should\nuse that attribute.\n\n\n\n#[serde(skip)] \nSkip this field: do not serialize or deserialize it.\nWhen deserializing, Serde will use Default::default() or the function\ngiven by default = \"...\" to get a default value for this field.\n\n#[serde(skip_serializing)] \nSkip this field when serializing, but not when deserializing.\n\n#[serde(skip_deserializing)] \nSkip this field when deserializing, but not when serializing.\nWhen deserializing, Serde will use Default::default() or the function\ngiven by default = \"...\" to get a default value for this field.\n\n#[serde(skip_serializing_if = \"path\")] \nCall a function to determine whether to skip serializing this field. The given\nfunction must be callable as fn(&T) -> bool, although it may be generic over\nT. For example skip_serializing_if = \"Option::is_none\" would skip an\nOption that is None.\n\n#[serde(serialize_with = \"path\")] \nSerialize this field using a function that is different from its\nimplementation of Serialize. The given function must be callable as\nfn(&T, S) -> Result where S: Serializer, although it\nmay also be generic over T. Fields used with serialize_with are not\nrequired to implement Serialize.\n\n#[serde(deserialize_with = \"path\")] \nDeserialize this field using a function that is different from its\nimplementation of Deserialize. The given function must be callable as\nfn(D) -> Result where D: Deserializer, although it\nmay also be generic over T. Fields used with deserialize_with are not\nrequired to implement Deserialize.\n\n#[serde(with = \"module\")] \nCombination of serialize_with and deserialize_with. Serde will use\n$module::serialize as the serialize_with function and\n$module::deserialize as the deserialize_with function.\n\n#[serde(borrow)] and #[serde(borrow = \"'a + 'b + ...\")] \nBorrow data for this field from the deserializer by using zero-copy\ndeserialization. See this example.\n\n#[serde(bound = \"T: MyTrait\")] \nWhere-clause for the Serialize and Deserialize impls. This replaces any\ntrait bounds inferred by Serde for the current field.\nAllows specifying independent bounds for serialization vs deserialization:\n\n#[serde(bound(serialize = \"T: MySerTrait\"))]\n#[serde(bound(deserialize = \"T: MyDeTrait\"))]\n#[serde(bound(serialize = \"T: MySerTrait\", deserialize = \"T: MyDeTrait\"))]\n\n\n#[serde(getter = \"...\")] \nThis is used when deriving Serialize for a remote type\nthat has one or more private fields.\n\n\n"},"custom-serialization.html":{"url":"custom-serialization.html","title":"Custom serialization","keywords":"","body":"Custom serialization\nSerde's derive macro through #[derive(Serialize, Deserialize)]\nprovides reasonable default serialization behavior for structs and enums and it\ncan be customized to some extent using attributes. For unusual\nneeds, Serde allows full customization of the serialization behavior by manually\nimplementing Serialize and Deserialize traits for your type.\nThe traits each have a single method:\npub trait Serialize {\n fn serialize(&self, serializer: S) -> Result\n where\n S: Serializer;\n}\n\npub trait Deserialize: Sized {\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer;\n}\n\nThese methods are generic over the serialization format, represented by the\nSerializer and Deserializer traits. For example there is one Serializer\ntype for JSON and a different one for Postcard.\n\nImplementing Serialize\nImplementing Deserialize\n\n"},"impl-serialize.html":{"url":"impl-serialize.html","title":"Implementing Serialize","keywords":"","body":"Implementing Serialize\nThe Serialize trait looks like this:\npub trait Serialize {\n fn serialize(&self, serializer: S) -> Result\n where\n S: Serializer;\n}\n\nThis method's job is to take your type (&self) and map it into the Serde data\nmodel by invoking exactly one of the methods on the given Serializer.\nIn most cases Serde's derive is able to generate an appropriate implementation\nof Serialize for structs and enums defined in your crate. Should you need to\ncustomize the serialization behavior for a type in a way that derive does not\nsupport, you can implement Serialize yourself.\nSerializing a primitive\nAs the simplest example, here is the builtin Serialize impl for the primitive\ni32.\nimpl Serialize for i32 {\n fn serialize(&self, serializer: S) -> Result\n where\n S: Serializer,\n {\n serializer.serialize_i32(*self)\n }\n}\n\nSerde provides such impls for all of Rust's primitive types so you are not\nresponsible for implementing them yourself, but serialize_i32 and similar\nmethods may be useful if you have a type that needs to be represented as a\nprimitive in its serialized form. For example you could serialize a C-like enum\nas a primitive number.\nSerializing a sequence or map\nCompound types follow a three-step process of init, elements, end.\nuse serde::ser::{Serialize, Serializer, SerializeSeq, SerializeMap};\n\nimpl Serialize for Vec\nwhere\n T: Serialize,\n{\n fn serialize(&self, serializer: S) -> Result\n where\n S: Serializer,\n {\n let mut seq = serializer.serialize_seq(Some(self.len()))?;\n for e in self {\n seq.serialize_element(e)?;\n }\n seq.end()\n }\n}\n\nimpl Serialize for MyMap\nwhere\n K: Serialize,\n V: Serialize,\n{\n fn serialize(&self, serializer: S) -> Result\n where\n S: Serializer,\n {\n let mut map = serializer.serialize_map(Some(self.len()))?;\n for (k, v) in self {\n map.serialize_entry(k, v)?;\n }\n map.end()\n }\n}\n\nSerializing a tuple\nThe serialize_tuple method is a lot like serialize_seq. The distinction\nSerde makes is that serialize_tuple is for sequences where the length does not\nneed to be serialized because it will be known at deserialization time. The\nusual examples are Rust tuples and arrays. In non-self-describing formats a\nVec needs to be serialized with its length in order to be able to\ndeserialize a Vec back out. But a [T; 16] can be serialized using\nserialize_tuple because the length will be known at deserialization time\nwithout looking at the serialized bytes.\nSerializing a struct\nSerde distinguishes between four types of structs. Ordinary structs and tuple\nstructs follow the three-step process of init, elements, end just like a\nsequence or map. Newtype structs and unit structs are more like primitives.\n// An ordinary struct. Use three-step process:\n// 1. serialize_struct\n// 2. serialize_field\n// 3. end\nstruct Color {\n r: u8,\n g: u8,\n b: u8,\n}\n\n// A tuple struct. Use three-step process:\n// 1. serialize_tuple_struct\n// 2. serialize_field\n// 3. end\nstruct Point2D(f64, f64);\n\n// A newtype struct. Use serialize_newtype_struct.\nstruct Inches(u64);\n\n// A unit struct. Use serialize_unit_struct.\nstruct Instance;\n\nStructs and maps may look similar in some formats, including JSON. The\ndistinction Serde makes is that structs have keys that are compile-time constant\nstrings and will be known at deserialization time without looking at the\nserialized data. This condition enables some data formats to handle structs much\nmore efficiently and compactly than maps.\nData formats are encouraged to treat newtype structs as insignificant wrappers\naround the inner value, serializing just the inner value. See for example\nJSON's treatment of newtype structs.\nuse serde::ser::{Serialize, Serializer, SerializeStruct};\n\nstruct Color {\n r: u8,\n g: u8,\n b: u8,\n}\n\nimpl Serialize for Color {\n fn serialize(&self, serializer: S) -> Result\n where\n S: Serializer,\n {\n // 3 is the number of fields in the struct.\n let mut state = serializer.serialize_struct(\"Color\", 3)?;\n state.serialize_field(\"r\", &self.r)?;\n state.serialize_field(\"g\", &self.g)?;\n state.serialize_field(\"b\", &self.b)?;\n state.end()\n }\n}\n\nSerializing an enum\nSerializing enum variants is very similar to serializing structs.\nenum E {\n // Use three-step process:\n // 1. serialize_struct_variant\n // 2. serialize_field\n // 3. end\n Color { r: u8, g: u8, b: u8 },\n\n // Use three-step process:\n // 1. serialize_tuple_variant\n // 2. serialize_field\n // 3. end\n Point2D(f64, f64),\n\n // Use serialize_newtype_variant.\n Inches(u64),\n\n // Use serialize_unit_variant.\n Instance,\n}\n\nOther special cases\nThere are two more special cases that are part of the Serializer trait.\nThere is a method serialize_bytes which serializes a &[u8]. Some formats\ntreat bytes like any other seq, but some formats are able to serialize bytes\nmore compactly. Currently Serde does not use serialize_bytes in the\nSerialize impl for &[u8] or Vec but once specialization lands in\nstable Rust we will begin using it. For now the serde_bytes crate can be\nused to enable efficient handling of &[u8] and Vec through\nserialize_bytes.\nFinally, serialize_some and serialize_none correspond to Option::Some and\nOption::None. Users tend to have different expectations around the Option\nenum compared to other enums. Serde JSON will serialize Option::None as null\nand Option::Some as just the contained value.\n"},"impl-deserialize.html":{"url":"impl-deserialize.html","title":"Implementing Deserialize","keywords":"","body":"Implementing Deserialize\nThe Deserialize trait looks like this:\npub trait Deserialize: Sized {\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer;\n}\n\nThis method's job is to map the type into the Serde data model by providing\nthe Deserializer with a Visitor that can be driven by the Deserializer\nto construct an instance of your type.\nIn most cases Serde's derive is able to generate an appropriate implementation\nof Deserialize for structs and enums defined in your crate. Should you need to\ncustomize the deserialization behavior for a type in a way that derive does not\nsupport, you can implement Deserialize yourself. Implementing Deserialize\nfor a type tends to be more complicated than implementing Serialize.\nThe Deserializer trait supports two entry point styles which enables different\nkinds of deserialization.\n\nThe deserialize_any method. Self-describing data formats like JSON are able\nto look at the serialized data and tell what it represents. For example the\nJSON deserializer may see an opening curly brace ({) and know that it is\nseeing a map. If the data format supports Deserializer::deserialize_any, it\nwill drive the Visitor using whatever type it sees in the input. JSON uses\nthis approach when deserializing serde_json::Value which is an enum that\ncan represent any JSON document. Without knowing what is in a JSON document,\nwe can deserialize it to serde_json::Value by going through\nDeserializer::deserialize_any.\n\nThe various other deserialize_* methods. Non-self-describing formats like\nPostcard need to be told what is in the input in order to deserialize it. The\ndeserialize_* methods are hints to the deserializer for how to interpret\nthe next piece of input. Non-self-describing formats are not able to\ndeserialize something like serde_json::Value which relies on\nDeserializer::deserialize_any.\n\n\nWhen implementing Deserialize, you should avoid relying on\nDeserializer::deserialize_any unless you need to be told by the Deserializer\nwhat type is in the input. Know that relying on Deserializer::deserialize_any\nmeans your data type will be able to deserialize from self-describing formats\nonly, ruling out Postcard and many others.\nThe Visitor trait\nA Visitor is instantiated by a Deserialize impl and passed to a\nDeserializer. The Deserializer then calls a method on the Visitor in order\nto construct the desired type.\nHere is a Visitor that is able to deserialize a primitive i32 from a variety\nof types.\nuse std::fmt;\n\nuse serde::de::{self, Visitor};\n\nstruct I32Visitor;\n\nimpl Visitor for I32Visitor {\n type Value = i32;\n\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n formatter.write_str(\"an integer between -2^31 and 2^31\")\n }\n\n fn visit_i8(self, value: i8) -> Result\n where\n E: de::Error,\n {\n Ok(i32::from(value))\n }\n\n fn visit_i32(self, value: i32) -> Result\n where\n E: de::Error,\n {\n Ok(value)\n }\n\n fn visit_i64(self, value: i64) -> Result\n where\n E: de::Error,\n {\n use std::i32;\n if value >= i64::from(i32::MIN) && value \nThe Visitor trait has lots more methods that are not implemented for\nI32Visitor. Leaving them unimplemented means a type error is returned if\nthey get called. For example I32Visitor does not implement\nVisitor::visit_map, so trying to deserialize an i32 when the input contains a\nmap is a type error.\nDriving a Visitor\nDeserialize a value by passing a Visitor to the given Deserializer. The\nDeserializer will call one of the Visitor methods depending on the input\ndata, which is known as \"driving\" the Visitor.\nimpl Deserialize for i32 {\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer,\n {\n deserializer.deserialize_i32(I32Visitor)\n }\n}\n\nNote that a Deserializer will not necessarily follow the type hint, so the\ncall to deserialize_i32 does not necessarily mean the Deserializer will call\nI32Visitor::visit_i32. For example JSON treats all signed integer types alike.\nThe JSON Deserializer will call visit_i64 for any signed integer and\nvisit_u64 for any unsigned integer, even if hinted a different type.\nOther examples\n\nDeserializing a map\nDeserializing a struct\n\n"},"unit-testing.html":{"url":"unit-testing.html","title":"Unit testing","keywords":"","body":"Unit testing\nThe serde_test crate provides a convenient\nconcise way to write unit tests for implementations of Serialize and\nDeserialize.\nThe Serialize impl for a value can be characterized by the sequence of\nSerializer calls\nthat are made in the course of serializing the value, so serde_test provides a\nToken abstraction\nwhich corresponds roughly to Serializer method calls. It provides an\nassert_ser_tokens function to test that a value serializes into a particular\nsequence of method calls, an assert_de_tokens function to test that a value\ncan be deserialized from a particular sequence of method calls, and an\nassert_tokens function to test both directions. It also provides functions to\ntest expected failure conditions.\nHere is an example from the\nlinked-hash-map crate.\nuse linked_hash_map::LinkedHashMap;\nuse serde_test::{Token, assert_tokens};\n\n#[test]\nfn test_ser_de_empty() {\n let map = LinkedHashMap::::new();\n\n assert_tokens(&map, &[\n Token::Map { len: Some(0) },\n Token::MapEnd,\n ]);\n}\n\n#[test]\nfn test_ser_de() {\n let mut map = LinkedHashMap::new();\n map.insert('b', 20);\n map.insert('a', 10);\n map.insert('c', 30);\n\n assert_tokens(&map, &[\n Token::Map { len: Some(3) },\n Token::Char('b'),\n Token::I32(20),\n\n Token::Char('a'),\n Token::I32(10),\n\n Token::Char('c'),\n Token::I32(30),\n Token::MapEnd,\n ]);\n}\n\n"},"data-format.html":{"url":"data-format.html","title":"Writing a data format","keywords":"","body":"Writing a data format\nThe most important thing to understand before writing a data format is that\nSerde is not a parsing library. Nothing in Serde is going to help you parse\nwhatever format you are implementing. The role of Serde is very specific:\n\nSerialization — taking arbitrary data structures from the user and\nrendering them in the format with maximum efficiency.\nDeserialization — interpreting the data that you parse into data\nstructures of the user's choice with maximum efficiency.\n\nParsing is neither of these things and you will either be writing parsing code\nfrom scratch or using a parsing library to implement your Deserializer.\nThe second most important thing to understand is the Serde data model.\nThe following pages walk through a basic but functional JSON serializer and\ndeserializer implemented using Serde.\n\nConventions for what to export at the root of the crate\nSerde error traits and error handling\nImplementing a Serializer\nImplementing a Deserializer\n\nYou can find these four source files all together as a buildable crate in this\nGitHub repository.\n"},"conventions.html":{"url":"conventions.html","title":"Conventions","keywords":"","body":"Conventions\nBy convention a Serde data format crate provides the following in the root\nmodule or re-exported from the root module:\n\nAn Error type common to both serialization and deserialization.\nA Result typedef which is equivalent to std::result::Result.\nA Serializer type which implements serde::Serializer.\nA Deserializer type which implements serde::Deserializer.\nOne or more to_abc functions depending on what types the format supports\nserializing to. For example to_string which returns a String, to_bytes which\nreturns a Vec, or to_writer which writes into an io::Write.\nOne or more from_xyz functions depending on what types the format supports\ndeserializing from. For example from_str which takes a &str, from_bytes\nwhich takes a &[u8], or from_reader which takes an io::Read.\n\nIn addition, formats that provide serialization-specific or\ndeserialization-specific APIs beyond Serializer and Deserializer should expose\nthose under top-level ser and de modules. For example serde_json provides a\npluggable pretty-printer trait as serde_json::ser::Formatter.\nA basic data format begins like this. The three modules are discussed in more\ndetail on the following pages.\nsrc/lib.rs\nmod de;\nmod error;\nmod ser;\n\npub use de::{from_str, Deserializer};\npub use error::{Error, Result};\npub use ser::{to_string, Serializer};\n\n"},"error-handling.html":{"url":"error-handling.html","title":"Error handling","keywords":"","body":"Error handling\nDuring serialization, the Serialize trait maps a Rust data structure into\nSerde's data model and the Serializer trait maps the data model into the\noutput format. During deserialization, the Deserializer maps the input data\ninto Serde's data model and the Deserialize and Visitor traits map the\ndata model into the resulting data structure. Any of these steps can fail.\n\nSerialize can fail, for example when a Mutex is being serialized and\nthe mutex happens to be poisoned.\nSerializer can fail, for example the Serde data model allows maps with\nnon-string keys but JSON does not.\nDeserializer can fail, especially if the input data is syntactically\ninvalid.\nDeserialize can fail, usually because the input is the wrong type for the\nvalue it is being deserialized into.\n\nIn Serde, errors from the Serializer and Deserializer work just like they\nwould in any other Rust library. The crate defines an error type, public\nfunctions return a Result with that error type, and there are variants for the\nvarious possible failure modes.\nHandling of errors from the Serialize and Deserialize, the data structure\nbeing processed by the library, is built around the ser::Error and\nde::Error traits. These traits allow the data format to expose constructors\nfor its error type for the data structure to use in various situations.\nsrc/error.rs\nuse std;\nuse std::fmt::{self, Display};\n\nuse serde::{de, ser};\n\npub type Result = std::result::Result;\n\n// This is a bare-bones implementation. A real library would provide additional\n// information in its error type, for example the line and column at which the\n// error occurred, the byte offset into the input, or the current key being\n// processed.\n#[derive(Debug)]\npub enum Error {\n // One or more variants that can be created by data structures through the\n // `ser::Error` and `de::Error` traits. For example the Serialize impl for\n // Mutex might return an error because the mutex is poisoned, or the\n // Deserialize impl for a struct may return an error because a required\n // field is missing.\n Message(String),\n\n // Zero or more variants that can be created directly by the Serializer and\n // Deserializer without going through `ser::Error` and `de::Error`. These\n // are specific to the format, in this case JSON.\n Eof,\n Syntax,\n ExpectedBoolean,\n ExpectedInteger,\n ExpectedString,\n ExpectedNull,\n ExpectedArray,\n ExpectedArrayComma,\n ExpectedArrayEnd,\n ExpectedMap,\n ExpectedMapColon,\n ExpectedMapComma,\n ExpectedMapEnd,\n ExpectedEnum,\n TrailingCharacters,\n}\n\nimpl ser::Error for Error {\n fn custom(msg: T) -> Self {\n Error::Message(msg.to_string())\n }\n}\n\nimpl de::Error for Error {\n fn custom(msg: T) -> Self {\n Error::Message(msg.to_string())\n }\n}\n\nimpl Display for Error {\n fn fmt(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n match self {\n Error::Message(msg) => formatter.write_str(msg),\n Error::Eof => formatter.write_str(\"unexpected end of input\"),\n /* and so forth */\n }\n }\n}\n\nimpl std::error::Error for Error {}\n\n"},"impl-serializer.html":{"url":"impl-serializer.html","title":"Implementing a Serializer","keywords":"","body":"Implementing a Serializer\nThis page gives a basic but functional implementation of a JSON serializer using\nSerde.\nThe Serializer trait has a lot of methods but none of the ones in this\nimplementation are complicated. Each method corresponds to one of the types of\nthe Serde data model. The serializer is responsible for mapping the data model\ninto the output representation, in this case JSON.\nRefer to the rustdoc of the Serializer trait for examples of how each method\nis used.\nsrc/ser.rs\nuse serde::{ser, Serialize};\n\nuse error::{Error, Result};\n\npub struct Serializer {\n // This string starts empty and JSON is appended as values are serialized.\n output: String,\n}\n\n// By convention, the public API of a Serde serializer is one or more `to_abc`\n// functions such as `to_string`, `to_bytes`, or `to_writer` depending on what\n// Rust types the serializer is able to produce as output.\n//\n// This basic serializer supports only `to_string`.\npub fn to_string(value: &T) -> Result\nwhere\n T: Serialize,\n{\n let mut serializer = Serializer {\n output: String::new(),\n };\n value.serialize(&mut serializer)?;\n Ok(serializer.output)\n}\n\nimpl ser::Serializer for &'a mut Serializer {\n // The output type produced by this `Serializer` during successful\n // serialization. Most serializers that produce text or binary output should\n // set `Ok = ()` and serialize into an `io::Write` or buffer contained\n // within the `Serializer` instance, as happens here. Serializers that build\n // in-memory data structures may be simplified by using `Ok` to propagate\n // the data structure around.\n type Ok = ();\n\n // The error type when some error occurs during serialization.\n type Error = Error;\n\n // Associated types for keeping track of additional state while serializing\n // compound data structures like sequences and maps. In this case no\n // additional state is required beyond what is already stored in the\n // Serializer struct.\n type SerializeSeq = Self;\n type SerializeTuple = Self;\n type SerializeTupleStruct = Self;\n type SerializeTupleVariant = Self;\n type SerializeMap = Self;\n type SerializeStruct = Self;\n type SerializeStructVariant = Self;\n\n // Here we go with the simple methods. The following 12 methods receive one\n // of the primitive types of the data model and map it to JSON by appending\n // into the output string.\n fn serialize_bool(self, v: bool) -> Result {\n self.output += if v { \"true\" } else { \"false\" };\n Ok(())\n }\n\n // JSON does not distinguish between different sizes of integers, so all\n // signed integers will be serialized the same and all unsigned integers\n // will be serialized the same. Other formats, especially compact binary\n // formats, may need independent logic for the different sizes.\n fn serialize_i8(self, v: i8) -> Result {\n self.serialize_i64(i64::from(v))\n }\n\n fn serialize_i16(self, v: i16) -> Result {\n self.serialize_i64(i64::from(v))\n }\n\n fn serialize_i32(self, v: i32) -> Result {\n self.serialize_i64(i64::from(v))\n }\n\n // Not particularly efficient but this is example code anyway. A more\n // performant approach would be to use the `itoa` crate.\n fn serialize_i64(self, v: i64) -> Result {\n self.output += &v.to_string();\n Ok(())\n }\n\n fn serialize_u8(self, v: u8) -> Result {\n self.serialize_u64(u64::from(v))\n }\n\n fn serialize_u16(self, v: u16) -> Result {\n self.serialize_u64(u64::from(v))\n }\n\n fn serialize_u32(self, v: u32) -> Result {\n self.serialize_u64(u64::from(v))\n }\n\n fn serialize_u64(self, v: u64) -> Result {\n self.output += &v.to_string();\n Ok(())\n }\n\n fn serialize_f32(self, v: f32) -> Result {\n self.serialize_f64(f64::from(v))\n }\n\n fn serialize_f64(self, v: f64) -> Result {\n self.output += &v.to_string();\n Ok(())\n }\n\n // Serialize a char as a single-character string. Other formats may\n // represent this differently.\n fn serialize_char(self, v: char) -> Result {\n self.serialize_str(&v.to_string())\n }\n\n // This only works for strings that don't require escape sequences but you\n // get the idea. For example it would emit invalid JSON if the input string\n // contains a '\"' character.\n fn serialize_str(self, v: &str) -> Result {\n self.output += \"\\\"\";\n self.output += v;\n self.output += \"\\\"\";\n Ok(())\n }\n\n // Serialize a byte array as an array of bytes. Could also use a base64\n // string here. Binary formats will typically represent byte arrays more\n // compactly.\n fn serialize_bytes(self, v: &[u8]) -> Result {\n use serde::ser::SerializeSeq;\n let mut seq = self.serialize_seq(Some(v.len()))?;\n for byte in v {\n seq.serialize_element(byte)?;\n }\n seq.end()\n }\n\n // An absent optional is represented as the JSON `null`.\n fn serialize_none(self) -> Result {\n self.serialize_unit()\n }\n\n // A present optional is represented as just the contained value. Note that\n // this is a lossy representation. For example the values `Some(())` and\n // `None` both serialize as just `null`. Unfortunately this is typically\n // what people expect when working with JSON. Other formats are encouraged\n // to behave more intelligently if possible.\n fn serialize_some(self, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n value.serialize(self)\n }\n\n // In Serde, unit means an anonymous value containing no data. Map this to\n // JSON as `null`.\n fn serialize_unit(self) -> Result {\n self.output += \"null\";\n Ok(())\n }\n\n // Unit struct means a named value containing no data. Again, since there is\n // no data, map this to JSON as `null`. There is no need to serialize the\n // name in most formats.\n fn serialize_unit_struct(self, _name: &'static str) -> Result {\n self.serialize_unit()\n }\n\n // When serializing a unit variant (or any other kind of variant), formats\n // can choose whether to keep track of it by index or by name. Binary\n // formats typically use the index of the variant and human-readable formats\n // typically use the name.\n fn serialize_unit_variant(\n self,\n _name: &'static str,\n _variant_index: u32,\n variant: &'static str,\n ) -> Result {\n self.serialize_str(variant)\n }\n\n // As is done here, serializers are encouraged to treat newtype structs as\n // insignificant wrappers around the data they contain.\n fn serialize_newtype_struct(\n self,\n _name: &'static str,\n value: &T,\n ) -> Result\n where\n T: ?Sized + Serialize,\n {\n value.serialize(self)\n }\n\n // Note that newtype variant (and all of the other variant serialization\n // methods) refer exclusively to the \"externally tagged\" enum\n // representation.\n //\n // Serialize this to JSON in externally tagged form as `{ NAME: VALUE }`.\n fn serialize_newtype_variant(\n self,\n _name: &'static str,\n _variant_index: u32,\n variant: &'static str,\n value: &T,\n ) -> Result\n where\n T: ?Sized + Serialize,\n {\n self.output += \"{\";\n variant.serialize(&mut *self)?;\n self.output += \":\";\n value.serialize(&mut *self)?;\n self.output += \"}\";\n Ok(())\n }\n\n // Now we get to the serialization of compound types.\n //\n // The start of the sequence, each value, and the end are three separate\n // method calls. This one is responsible only for serializing the start,\n // which in JSON is `[`.\n //\n // The length of the sequence may or may not be known ahead of time. This\n // doesn't make a difference in JSON because the length is not represented\n // explicitly in the serialized form. Some serializers may only be able to\n // support sequences for which the length is known up front.\n fn serialize_seq(self, _len: Option) -> Result {\n self.output += \"[\";\n Ok(self)\n }\n\n // Tuples look just like sequences in JSON. Some formats may be able to\n // represent tuples more efficiently by omitting the length, since tuple\n // means that the corresponding `Deserialize implementation will know the\n // length without needing to look at the serialized data.\n fn serialize_tuple(self, len: usize) -> Result {\n self.serialize_seq(Some(len))\n }\n\n // Tuple structs look just like sequences in JSON.\n fn serialize_tuple_struct(\n self,\n _name: &'static str,\n len: usize,\n ) -> Result {\n self.serialize_seq(Some(len))\n }\n\n // Tuple variants are represented in JSON as `{ NAME: [DATA...] }`. Again\n // this method is only responsible for the externally tagged representation.\n fn serialize_tuple_variant(\n self,\n _name: &'static str,\n _variant_index: u32,\n variant: &'static str,\n _len: usize,\n ) -> Result {\n self.output += \"{\";\n variant.serialize(&mut *self)?;\n self.output += \":[\";\n Ok(self)\n }\n\n // Maps are represented in JSON as `{ K: V, K: V, ... }`.\n fn serialize_map(self, _len: Option) -> Result {\n self.output += \"{\";\n Ok(self)\n }\n\n // Structs look just like maps in JSON. In particular, JSON requires that we\n // serialize the field names of the struct. Other formats may be able to\n // omit the field names when serializing structs because the corresponding\n // Deserialize implementation is required to know what the keys are without\n // looking at the serialized data.\n fn serialize_struct(\n self,\n _name: &'static str,\n len: usize,\n ) -> Result {\n self.serialize_map(Some(len))\n }\n\n // Struct variants are represented in JSON as `{ NAME: { K: V, ... } }`.\n // This is the externally tagged representation.\n fn serialize_struct_variant(\n self,\n _name: &'static str,\n _variant_index: u32,\n variant: &'static str,\n _len: usize,\n ) -> Result {\n self.output += \"{\";\n variant.serialize(&mut *self)?;\n self.output += \":{\";\n Ok(self)\n }\n}\n\n// The following 7 impls deal with the serialization of compound types like\n// sequences and maps. Serialization of such types is begun by a Serializer\n// method and followed by zero or more calls to serialize individual elements of\n// the compound type and one call to end the compound type.\n//\n// This impl is SerializeSeq so these methods are called after `serialize_seq`\n// is called on the Serializer.\nimpl ser::SerializeSeq for &'a mut Serializer {\n // Must match the `Ok` type of the serializer.\n type Ok = ();\n // Must match the `Error` type of the serializer.\n type Error = Error;\n\n // Serialize a single element of the sequence.\n fn serialize_element(&mut self, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('[') {\n self.output += \",\";\n }\n value.serialize(&mut **self)\n }\n\n // Close the sequence.\n fn end(self) -> Result {\n self.output += \"]\";\n Ok(())\n }\n}\n\n// Same thing but for tuples.\nimpl ser::SerializeTuple for &'a mut Serializer {\n type Ok = ();\n type Error = Error;\n\n fn serialize_element(&mut self, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('[') {\n self.output += \",\";\n }\n value.serialize(&mut **self)\n }\n\n fn end(self) -> Result {\n self.output += \"]\";\n Ok(())\n }\n}\n\n// Same thing but for tuple structs.\nimpl ser::SerializeTupleStruct for &'a mut Serializer {\n type Ok = ();\n type Error = Error;\n\n fn serialize_field(&mut self, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('[') {\n self.output += \",\";\n }\n value.serialize(&mut **self)\n }\n\n fn end(self) -> Result {\n self.output += \"]\";\n Ok(())\n }\n}\n\n// Tuple variants are a little different. Refer back to the\n// `serialize_tuple_variant` method above:\n//\n// self.output += \"{\";\n// variant.serialize(&mut *self)?;\n// self.output += \":[\";\n//\n// So the `end` method in this impl is responsible for closing both the `]` and\n// the `}`.\nimpl ser::SerializeTupleVariant for &'a mut Serializer {\n type Ok = ();\n type Error = Error;\n\n fn serialize_field(&mut self, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('[') {\n self.output += \",\";\n }\n value.serialize(&mut **self)\n }\n\n fn end(self) -> Result {\n self.output += \"]}\";\n Ok(())\n }\n}\n\n// Some `Serialize` types are not able to hold a key and value in memory at the\n// same time so `SerializeMap` implementations are required to support\n// `serialize_key` and `serialize_value` individually.\n//\n// There is a third optional method on the `SerializeMap` trait. The\n// `serialize_entry` method allows serializers to optimize for the case where\n// key and value are both available simultaneously. In JSON it doesn't make a\n// difference so the default behavior for `serialize_entry` is fine.\nimpl ser::SerializeMap for &'a mut Serializer {\n type Ok = ();\n type Error = Error;\n\n // The Serde data model allows map keys to be any serializable type. JSON\n // only allows string keys so the implementation below will produce invalid\n // JSON if the key serializes as something other than a string.\n //\n // A real JSON serializer would need to validate that map keys are strings.\n // This can be done by using a different Serializer to serialize the key\n // (instead of `&mut **self`) and having that other serializer only\n // implement `serialize_str` and return an error on any other data type.\n fn serialize_key(&mut self, key: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('{') {\n self.output += \",\";\n }\n key.serialize(&mut **self)\n }\n\n // It doesn't make a difference whether the colon is printed at the end of\n // `serialize_key` or at the beginning of `serialize_value`. In this case\n // the code is a bit simpler having it here.\n fn serialize_value(&mut self, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n self.output += \":\";\n value.serialize(&mut **self)\n }\n\n fn end(self) -> Result {\n self.output += \"}\";\n Ok(())\n }\n}\n\n// Structs are like maps in which the keys are constrained to be compile-time\n// constant strings.\nimpl ser::SerializeStruct for &'a mut Serializer {\n type Ok = ();\n type Error = Error;\n\n fn serialize_field(&mut self, key: &'static str, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('{') {\n self.output += \",\";\n }\n key.serialize(&mut **self)?;\n self.output += \":\";\n value.serialize(&mut **self)\n }\n\n fn end(self) -> Result {\n self.output += \"}\";\n Ok(())\n }\n}\n\n// Similar to `SerializeTupleVariant`, here the `end` method is responsible for\n// closing both of the curly braces opened by `serialize_struct_variant`.\nimpl ser::SerializeStructVariant for &'a mut Serializer {\n type Ok = ();\n type Error = Error;\n\n fn serialize_field(&mut self, key: &'static str, value: &T) -> Result\n where\n T: ?Sized + Serialize,\n {\n if !self.output.ends_with('{') {\n self.output += \",\";\n }\n key.serialize(&mut **self)?;\n self.output += \":\";\n value.serialize(&mut **self)\n }\n\n fn end(self) -> Result {\n self.output += \"}}\";\n Ok(())\n }\n}\n\n////////////////////////////////////////////////////////////////////////////////\n\n#[test]\nfn test_struct() {\n #[derive(Serialize)]\n struct Test {\n int: u32,\n seq: Vec,\n }\n\n let test = Test {\n int: 1,\n seq: vec![\"a\", \"b\"],\n };\n let expected = r#\"{\"int\":1,\"seq\":[\"a\",\"b\"]}\"#;\n assert_eq!(to_string(&test).unwrap(), expected);\n}\n\n#[test]\nfn test_enum() {\n #[derive(Serialize)]\n enum E {\n Unit,\n Newtype(u32),\n Tuple(u32, u32),\n Struct { a: u32 },\n }\n\n let u = E::Unit;\n let expected = r#\"\"Unit\"\"#;\n assert_eq!(to_string(&u).unwrap(), expected);\n\n let n = E::Newtype(1);\n let expected = r#\"{\"Newtype\":1}\"#;\n assert_eq!(to_string(&n).unwrap(), expected);\n\n let t = E::Tuple(1, 2);\n let expected = r#\"{\"Tuple\":[1,2]}\"#;\n assert_eq!(to_string(&t).unwrap(), expected);\n\n let s = E::Struct { a: 1 };\n let expected = r#\"{\"Struct\":{\"a\":1}}\"#;\n assert_eq!(to_string(&s).unwrap(), expected);\n}\n\n"},"impl-deserializer.html":{"url":"impl-deserializer.html","title":"Implementing a Deserializer","keywords":"","body":"Implementing a Deserializer\nThis page gives a basic but functional implementation of a JSON deserializer\nusing Serde.\nAs with the serializer, the Deserializer trait has a lot of methods but none\nof them are complicated in this implementation. The deserializer is responsible\nfor mapping the input data into Serde's data model by invoking exactly one of\nthe methods on the Visitor that it receives.\nThe Deserializer methods are called by a Deserialize impl as a hint to\nindicate what Serde data model type the Deserialize type expects to see in the\ninput. For self-describing formats like JSON, it is fine for the Deserializer\nto ignore this hint and just call whichever Visitor method corresponds to the\ncontent of the input data. Other formats, especially compact binary formats like\nPostcard, rely on the hint to determine how the input data is to be interpreted.\nSelf-describing formats can save a lot of code by using the\nforward_to_deserialize_any! macro to ignore hints and forward some or all of\nthe methods of the Deserializer trait to the deserialize_any method.\nThe code below implements every method explicitly for documentation purposes but\nthere is no advantage to that.\nDeserializer lifetimes have their own dedicated page.\nsrc/de.rs\nuse std::ops::{AddAssign, MulAssign, Neg};\n\nuse serde::Deserialize;\nuse serde::de::{\n self, DeserializeSeed, EnumAccess, IntoDeserializer, MapAccess, SeqAccess,\n VariantAccess, Visitor,\n};\n\nuse error::{Error, Result};\n\npub struct Deserializer {\n // This string starts with the input data and characters are truncated off\n // the beginning as data is parsed.\n input: &'de str,\n}\n\nimpl Deserializer {\n // By convention, `Deserializer` constructors are named like `from_xyz`.\n // That way basic use cases are satisfied by something like\n // `serde_json::from_str(...)` while advanced use cases that require a\n // deserializer can make one with `serde_json::Deserializer::from_str(...)`.\n pub fn from_str(input: &'de str) -> Self {\n Deserializer { input }\n }\n}\n\n// By convention, the public API of a Serde deserializer is one or more\n// `from_xyz` methods such as `from_str`, `from_bytes`, or `from_reader`\n// depending on what Rust types the deserializer is able to consume as input.\n//\n// This basic deserializer supports only `from_str`.\npub fn from_str(s: &'a str) -> Result\nwhere\n T: Deserialize,\n{\n let mut deserializer = Deserializer::from_str(s);\n let t = T::deserialize(&mut deserializer)?;\n if deserializer.input.is_empty() {\n Ok(t)\n } else {\n Err(Error::TrailingCharacters)\n }\n}\n\n// SERDE IS NOT A PARSING LIBRARY. This impl block defines a few basic parsing\n// functions from scratch. More complicated formats may wish to use a dedicated\n// parsing library to help implement their Serde deserializer.\nimpl Deserializer {\n // Look at the first character in the input without consuming it.\n fn peek_char(&mut self) -> Result {\n self.input.chars().next().ok_or(Error::Eof)\n }\n\n // Consume the first character in the input.\n fn next_char(&mut self) -> Result {\n let ch = self.peek_char()?;\n self.input = &self.input[ch.len_utf8()..];\n Ok(ch)\n }\n\n // Parse the JSON identifier `true` or `false`.\n fn parse_bool(&mut self) -> Result {\n if self.input.starts_with(\"true\") {\n self.input = &self.input[\"true\".len()..];\n Ok(true)\n } else if self.input.starts_with(\"false\") {\n self.input = &self.input[\"false\".len()..];\n Ok(false)\n } else {\n Err(Error::ExpectedBoolean)\n }\n }\n\n // Parse a group of decimal digits as an unsigned integer of type T.\n //\n // This implementation is a bit too lenient, for example `001` is not\n // allowed in JSON. Also the various arithmetic operations can overflow and\n // panic or return bogus data. But it is good enough for example code!\n fn parse_unsigned(&mut self) -> Result\n where\n T: AddAssign + MulAssign + From,\n {\n let mut int = match self.next_char()? {\n ch @ '0'..='9' => T::from(ch as u8 - b'0'),\n _ => {\n return Err(Error::ExpectedInteger);\n }\n };\n loop {\n match self.input.chars().next() {\n Some(ch @ '0'..='9') => {\n self.input = &self.input[1..];\n int *= T::from(10);\n int += T::from(ch as u8 - b'0');\n }\n _ => {\n return Ok(int);\n }\n }\n }\n }\n\n // Parse a possible minus sign followed by a group of decimal digits as a\n // signed integer of type T.\n fn parse_signed(&mut self) -> Result\n where\n T: Neg + AddAssign + MulAssign + From,\n {\n // Optional minus sign, delegate to `parse_unsigned`, negate if negative.\n unimplemented!()\n }\n\n // Parse a string until the next '\"' character.\n //\n // Makes no attempt to handle escape sequences. What did you expect? This is\n // example code!\n fn parse_string(&mut self) -> Result {\n if self.next_char()? != '\"' {\n return Err(Error::ExpectedString);\n }\n match self.input.find('\"') {\n Some(len) => {\n let s = &self.input[..len];\n self.input = &self.input[len + 1..];\n Ok(s)\n }\n None => Err(Error::Eof),\n }\n }\n}\n\nimpl de::Deserializer for &'a mut Deserializer {\n type Error = Error;\n\n // Look at the input data to decide what Serde data model type to\n // deserialize as. Not all data formats are able to support this operation.\n // Formats that support `deserialize_any` are known as self-describing.\n fn deserialize_any(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n match self.peek_char()? {\n 'n' => self.deserialize_unit(visitor),\n 't' | 'f' => self.deserialize_bool(visitor),\n '\"' => self.deserialize_str(visitor),\n '0'..='9' => self.deserialize_u64(visitor),\n '-' => self.deserialize_i64(visitor),\n '[' => self.deserialize_seq(visitor),\n '{' => self.deserialize_map(visitor),\n _ => Err(Error::Syntax),\n }\n }\n\n // Uses the `parse_bool` parsing function defined above to read the JSON\n // identifier `true` or `false` from the input.\n //\n // Parsing refers to looking at the input and deciding that it contains the\n // JSON value `true` or `false`.\n //\n // Deserialization refers to mapping that JSON value into Serde's data\n // model by invoking one of the `Visitor` methods. In the case of JSON and\n // bool that mapping is straightforward so the distinction may seem silly,\n // but in other cases Deserializers sometimes perform non-obvious mappings.\n // For example the TOML format has a Datetime type and Serde's data model\n // does not. In the `toml` crate, a Datetime in the input is deserialized by\n // mapping it to a Serde data model \"struct\" type with a special name and a\n // single field containing the Datetime represented as a string.\n fn deserialize_bool(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_bool(self.parse_bool()?)\n }\n\n // The `parse_signed` function is generic over the integer type `T` so here\n // it is invoked with `T=i8`. The next 8 methods are similar.\n fn deserialize_i8(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_i8(self.parse_signed()?)\n }\n\n fn deserialize_i16(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_i16(self.parse_signed()?)\n }\n\n fn deserialize_i32(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_i32(self.parse_signed()?)\n }\n\n fn deserialize_i64(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_i64(self.parse_signed()?)\n }\n\n fn deserialize_u8(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_u8(self.parse_unsigned()?)\n }\n\n fn deserialize_u16(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_u16(self.parse_unsigned()?)\n }\n\n fn deserialize_u32(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_u32(self.parse_unsigned()?)\n }\n\n fn deserialize_u64(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_u64(self.parse_unsigned()?)\n }\n\n // Float parsing is stupidly hard.\n fn deserialize_f32(self, _visitor: V) -> Result\n where\n V: Visitor,\n {\n unimplemented!()\n }\n\n // Float parsing is stupidly hard.\n fn deserialize_f64(self, _visitor: V) -> Result\n where\n V: Visitor,\n {\n unimplemented!()\n }\n\n // The `Serializer` implementation on the previous page serialized chars as\n // single-character strings so handle that representation here.\n fn deserialize_char(self, _visitor: V) -> Result\n where\n V: Visitor,\n {\n // Parse a string, check that it is one character, call `visit_char`.\n unimplemented!()\n }\n\n // Refer to the \"Understanding deserializer lifetimes\" page for information\n // about the three deserialization flavors of strings in Serde.\n fn deserialize_str(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n visitor.visit_borrowed_str(self.parse_string()?)\n }\n\n fn deserialize_string(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n self.deserialize_str(visitor)\n }\n\n // The `Serializer` implementation on the previous page serialized byte\n // arrays as JSON arrays of bytes. Handle that representation here.\n fn deserialize_bytes(self, _visitor: V) -> Result\n where\n V: Visitor,\n {\n unimplemented!()\n }\n\n fn deserialize_byte_buf(self, _visitor: V) -> Result\n where\n V: Visitor,\n {\n unimplemented!()\n }\n\n // An absent optional is represented as the JSON `null` and a present\n // optional is represented as just the contained value.\n //\n // As commented in `Serializer` implementation, this is a lossy\n // representation. For example the values `Some(())` and `None` both\n // serialize as just `null`. Unfortunately this is typically what people\n // expect when working with JSON. Other formats are encouraged to behave\n // more intelligently if possible.\n fn deserialize_option(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n if self.input.starts_with(\"null\") {\n self.input = &self.input[\"null\".len()..];\n visitor.visit_none()\n } else {\n visitor.visit_some(self)\n }\n }\n\n // In Serde, unit means an anonymous value containing no data.\n fn deserialize_unit(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n if self.input.starts_with(\"null\") {\n self.input = &self.input[\"null\".len()..];\n visitor.visit_unit()\n } else {\n Err(Error::ExpectedNull)\n }\n }\n\n // Unit struct means a named value containing no data.\n fn deserialize_unit_struct(\n self,\n _name: &'static str,\n visitor: V,\n ) -> Result\n where\n V: Visitor,\n {\n self.deserialize_unit(visitor)\n }\n\n // As is done here, serializers are encouraged to treat newtype structs as\n // insignificant wrappers around the data they contain. That means not\n // parsing anything other than the contained value.\n fn deserialize_newtype_struct(\n self,\n _name: &'static str,\n visitor: V,\n ) -> Result\n where\n V: Visitor,\n {\n visitor.visit_newtype_struct(self)\n }\n\n // Deserialization of compound types like sequences and maps happens by\n // passing the visitor an \"Access\" object that gives it the ability to\n // iterate through the data contained in the sequence.\n fn deserialize_seq(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n // Parse the opening bracket of the sequence.\n if self.next_char()? == '[' {\n // Give the visitor access to each element of the sequence.\n let value = visitor.visit_seq(CommaSeparated::new(self))?;\n // Parse the closing bracket of the sequence.\n if self.next_char()? == ']' {\n Ok(value)\n } else {\n Err(Error::ExpectedArrayEnd)\n }\n } else {\n Err(Error::ExpectedArray)\n }\n }\n\n // Tuples look just like sequences in JSON. Some formats may be able to\n // represent tuples more efficiently.\n //\n // As indicated by the length parameter, the `Deserialize` implementation\n // for a tuple in the Serde data model is required to know the length of the\n // tuple before even looking at the input data.\n fn deserialize_tuple(self, _len: usize, visitor: V) -> Result\n where\n V: Visitor,\n {\n self.deserialize_seq(visitor)\n }\n\n // Tuple structs look just like sequences in JSON.\n fn deserialize_tuple_struct(\n self,\n _name: &'static str,\n _len: usize,\n visitor: V,\n ) -> Result\n where\n V: Visitor,\n {\n self.deserialize_seq(visitor)\n }\n\n // Much like `deserialize_seq` but calls the visitors `visit_map` method\n // with a `MapAccess` implementation, rather than the visitor's `visit_seq`\n // method with a `SeqAccess` implementation.\n fn deserialize_map(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n // Parse the opening brace of the map.\n if self.next_char()? == '{' {\n // Give the visitor access to each entry of the map.\n let value = visitor.visit_map(CommaSeparated::new(self))?;\n // Parse the closing brace of the map.\n if self.next_char()? == '}' {\n Ok(value)\n } else {\n Err(Error::ExpectedMapEnd)\n }\n } else {\n Err(Error::ExpectedMap)\n }\n }\n\n // Structs look just like maps in JSON.\n //\n // Notice the `fields` parameter - a \"struct\" in the Serde data model means\n // that the `Deserialize` implementation is required to know what the fields\n // are before even looking at the input data. Any key-value pairing in which\n // the fields cannot be known ahead of time is probably a map.\n fn deserialize_struct(\n self,\n _name: &'static str,\n _fields: &'static [&'static str],\n visitor: V,\n ) -> Result\n where\n V: Visitor,\n {\n self.deserialize_map(visitor)\n }\n\n fn deserialize_enum(\n self,\n _name: &'static str,\n _variants: &'static [&'static str],\n visitor: V,\n ) -> Result\n where\n V: Visitor,\n {\n if self.peek_char()? == '\"' {\n // Visit a unit variant.\n visitor.visit_enum(self.parse_string()?.into_deserializer())\n } else if self.next_char()? == '{' {\n // Visit a newtype variant, tuple variant, or struct variant.\n let value = visitor.visit_enum(Enum::new(self))?;\n // Parse the matching close brace.\n if self.next_char()? == '}' {\n Ok(value)\n } else {\n Err(Error::ExpectedMapEnd)\n }\n } else {\n Err(Error::ExpectedEnum)\n }\n }\n\n // An identifier in Serde is the type that identifies a field of a struct or\n // the variant of an enum. In JSON, struct fields and enum variants are\n // represented as strings. In other formats they may be represented as\n // numeric indices.\n fn deserialize_identifier(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n self.deserialize_str(visitor)\n }\n\n // Like `deserialize_any` but indicates to the `Deserializer` that it makes\n // no difference which `Visitor` method is called because the data is\n // ignored.\n //\n // Some deserializers are able to implement this more efficiently than\n // `deserialize_any`, for example by rapidly skipping over matched\n // delimiters without paying close attention to the data in between.\n //\n // Some formats are not able to implement this at all. Formats that can\n // implement `deserialize_any` and `deserialize_ignored_any` are known as\n // self-describing.\n fn deserialize_ignored_any(self, visitor: V) -> Result\n where\n V: Visitor,\n {\n self.deserialize_any(visitor)\n }\n}\n\n// In order to handle commas correctly when deserializing a JSON array or map,\n// we need to track whether we are on the first element or past the first\n// element.\nstruct CommaSeparated {\n de: &'a mut Deserializer,\n first: bool,\n}\n\nimpl CommaSeparated {\n fn new(de: &'a mut Deserializer) -> Self {\n CommaSeparated {\n de,\n first: true,\n }\n }\n}\n\n// `SeqAccess` is provided to the `Visitor` to give it the ability to iterate\n// through elements of the sequence.\nimpl SeqAccess for CommaSeparated {\n type Error = Error;\n\n fn next_element_seed(&mut self, seed: T) -> Result>\n where\n T: DeserializeSeed,\n {\n // Check if there are no more elements.\n if self.de.peek_char()? == ']' {\n return Ok(None);\n }\n // Comma is required before every element except the first.\n if !self.first && self.de.next_char()? != ',' {\n return Err(Error::ExpectedArrayComma);\n }\n self.first = false;\n // Deserialize an array element.\n seed.deserialize(&mut *self.de).map(Some)\n }\n}\n\n// `MapAccess` is provided to the `Visitor` to give it the ability to iterate\n// through entries of the map.\nimpl MapAccess for CommaSeparated {\n type Error = Error;\n\n fn next_key_seed(&mut self, seed: K) -> Result>\n where\n K: DeserializeSeed,\n {\n // Check if there are no more entries.\n if self.de.peek_char()? == '}' {\n return Ok(None);\n }\n // Comma is required before every entry except the first.\n if !self.first && self.de.next_char()? != ',' {\n return Err(Error::ExpectedMapComma);\n }\n self.first = false;\n // Deserialize a map key.\n seed.deserialize(&mut *self.de).map(Some)\n }\n\n fn next_value_seed(&mut self, seed: V) -> Result\n where\n V: DeserializeSeed,\n {\n // It doesn't make a difference whether the colon is parsed at the end\n // of `next_key_seed` or at the beginning of `next_value_seed`. In this\n // case the code is a bit simpler having it here.\n if self.de.next_char()? != ':' {\n return Err(Error::ExpectedMapColon);\n }\n // Deserialize a map value.\n seed.deserialize(&mut *self.de)\n }\n}\n\nstruct Enum {\n de: &'a mut Deserializer,\n}\n\nimpl Enum {\n fn new(de: &'a mut Deserializer) -> Self {\n Enum { de }\n }\n}\n\n// `EnumAccess` is provided to the `Visitor` to give it the ability to determine\n// which variant of the enum is supposed to be deserialized.\n//\n// Note that all enum deserialization methods in Serde refer exclusively to the\n// \"externally tagged\" enum representation.\nimpl EnumAccess for Enum {\n type Error = Error;\n type Variant = Self;\n\n fn variant_seed(self, seed: V) -> Result\n where\n V: DeserializeSeed,\n {\n // The `deserialize_enum` method parsed a `{` character so we are\n // currently inside of a map. The seed will be deserializing itself from\n // the key of the map.\n let val = seed.deserialize(&mut *self.de)?;\n // Parse the colon separating map key from value.\n if self.de.next_char()? == ':' {\n Ok((val, self))\n } else {\n Err(Error::ExpectedMapColon)\n }\n }\n}\n\n// `VariantAccess` is provided to the `Visitor` to give it the ability to see\n// the content of the single variant that it decided to deserialize.\nimpl VariantAccess for Enum {\n type Error = Error;\n\n // If the `Visitor` expected this variant to be a unit variant, the input\n // should have been the plain string case handled in `deserialize_enum`.\n fn unit_variant(self) -> Result {\n Err(Error::ExpectedString)\n }\n\n // Newtype variants are represented in JSON as `{ NAME: VALUE }` so\n // deserialize the value here.\n fn newtype_variant_seed(self, seed: T) -> Result\n where\n T: DeserializeSeed,\n {\n seed.deserialize(self.de)\n }\n\n // Tuple variants are represented in JSON as `{ NAME: [DATA...] }` so\n // deserialize the sequence of data here.\n fn tuple_variant(self, _len: usize, visitor: V) -> Result\n where\n V: Visitor,\n {\n de::Deserializer::deserialize_seq(self.de, visitor)\n }\n\n // Struct variants are represented in JSON as `{ NAME: { K: V, ... } }` so\n // deserialize the inner map here.\n fn struct_variant(\n self,\n _fields: &'static [&'static str],\n visitor: V,\n ) -> Result\n where\n V: Visitor,\n {\n de::Deserializer::deserialize_map(self.de, visitor)\n }\n}\n\n////////////////////////////////////////////////////////////////////////////////\n\n#[test]\nfn test_struct() {\n #[derive(Deserialize, PartialEq, Debug)]\n struct Test {\n int: u32,\n seq: Vec,\n }\n\n let j = r#\"{\"int\":1,\"seq\":[\"a\",\"b\"]}\"#;\n let expected = Test {\n int: 1,\n seq: vec![\"a\".to_owned(), \"b\".to_owned()],\n };\n assert_eq!(expected, from_str(j).unwrap());\n}\n\n#[test]\nfn test_enum() {\n #[derive(Deserialize, PartialEq, Debug)]\n enum E {\n Unit,\n Newtype(u32),\n Tuple(u32, u32),\n Struct { a: u32 },\n }\n\n let j = r#\"\"Unit\"\"#;\n let expected = E::Unit;\n assert_eq!(expected, from_str(j).unwrap());\n\n let j = r#\"{\"Newtype\":1}\"#;\n let expected = E::Newtype(1);\n assert_eq!(expected, from_str(j).unwrap());\n\n let j = r#\"{\"Tuple\":[1,2]}\"#;\n let expected = E::Tuple(1, 2);\n assert_eq!(expected, from_str(j).unwrap());\n\n let j = r#\"{\"Struct\":{\"a\":1}}\"#;\n let expected = E::Struct { a: 1 };\n assert_eq!(expected, from_str(j).unwrap());\n}\n\n"},"lifetimes.html":{"url":"lifetimes.html","title":"Deserializer lifetimes","keywords":"","body":"Understanding deserializer lifetimes\nThe Deserialize and Deserializer traits both have a lifetime called\n'de, as do some of the other deserialization-related traits.\ntrait Deserialize: Sized {\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer;\n}\n\nThis lifetime is what enables Serde to safely perform efficient zero-copy\ndeserialization across a variety of data formats, something that would be\nimpossible or recklessly unsafe in languages other than Rust.\n#[derive(Deserialize)]\nstruct User {\n id: u32,\n name: &'a str,\n screen_name: &'a str,\n location: &'a str,\n}\n\nZero-copy deserialization means deserializing into a data structure, like the\nUser struct above, that borrows string or byte array data from the string or\nbyte array holding the input. This avoids allocating memory to store a string\nfor each individual field and then copying string data out of the input over to\nthe newly allocated field. Rust guarantees that the input data outlives the\nperiod during which the output data structure is in scope, meaning it is\nimpossible to have dangling pointer errors as a result of losing the input data\nwhile the output data structure still refers to it.\nTrait bounds\nThere are two main ways to write Deserialize trait bounds, whether on an impl\nblock or a function or anywhere else.\n\n where T: Deserialize\n This means \"T can be deserialized from some lifetime.\" The caller gets\n to decide what lifetime that is. Typically this is used when the caller also\n provides the data that is being deserialized from, for example in a function\n like serde_json::from_str. In that case the input data must also have\n lifetime 'de, for example it could be &'de str.\n\n where T: DeserializeOwned\n This means \"T can be deserialized from any lifetime.\" The callee gets to\n decide what lifetime. Usually this is because the data that is being\n deserialized from is going to be thrown away before the function returns, so\n T must not be allowed to borrow from it. For example a function that accepts\n base64-encoded data as input, decodes it from base64, deserializes a value\n of type T, then throws away the result of base64 decoding. Another common\n use of this bound is functions that deserialize from an IO stream, such as\n serde_json::from_reader.\n To say it more technically, the DeserializeOwned trait is equivalent to\n the higher-rank trait bound for Deserialize. The only\n difference is DeserializeOwned is more intuitive to read. It means T owns\n all the data that gets deserialized.\n\n\nNote that where T: Deserialize is never what you want. Also\nDeserialize + 'static is never what you want. Generally writing 'static\nanywhere near Deserialize is a sign of being on the wrong track. Use one of\nthe above bounds instead.\nTransient, borrowed, and owned data\nThe Serde data model has three flavors of strings and byte arrays during\ndeserialization. They correspond to different methods on the Visitor trait.\n\nTransient — visit_str accepts a &str.\nBorrowed — visit_borrowed_str accepts a &'de str.\nOwned — visit_string accepts a String.\n\nTransient data is not guaranteed to last beyond the method call it is passed to.\nOften this is sufficient, for example when deserializing something like an IP\naddress from a Serde string using the FromStr trait. When it is not\nsufficient, the data can be copied by calling to_owned(). Deserializers\ncommonly use transient data when input from an IO stream is being buffered in\nmemory before being passed to the Visitor, or when escape sequences are being\nprocessed so the resulting string is not present verbatim in the input.\nBorrowed data is guaranteed to live at least as long as the 'de lifetime\nparameter of the Deserializer. Not all deserializers support handing out\nborrowed data. For example when deserializing from an IO stream no data can be\nborrowed.\nOwned data is guaranteed to live as long as the Visitor wants it to. Some\nvisitors benefit from receiving owned data. For example the Deserialize impl\nfor Rust's String type benefits from being given ownership of the Serde string\ndata that has been deserialized.\nThe Deserialize lifetime\nThis lifetime records the constraints on how long data borrowed by this type\nmust be valid.\nEvery lifetime of data borrowed by this type must be a bound on the 'de\nlifetime of its Deserialize impl. If this type borrows data with lifetime\n'a, then 'de must be constrained to outlive 'a.\nstruct S {\n a: &'a str,\n b: &'b str,\n bb: &'b str,\n t: T,\n}\n\nimpl Deserialize for S\nwhere\n T: Deserialize,\n{\n /* ... */\n}\n\nIf this type does not borrow any data from the Deserializer, there are simply\nno bounds on the 'de lifetime. Such types automatically implement the\nDeserializeOwned trait.\nstruct S {\n owned: String,\n}\n\nimpl Deserialize for S {\n /* ... */\n}\n\nThe 'de lifetime should not appear in the type to which the Deserialize\nimpl applies.\n- // Do not do this. Sooner or later you will be sad.\n- impl Deserialize for Q {\n\n+ // Do this instead.\n+ impl Deserialize for Q {\n\nThe Deserializer lifetime\nThis is the lifetime of data that can be borrowed from the Deserializer.\nstruct MyDeserializer {\n input_data: &'de [u8],\n pos: usize,\n}\n\nimpl Deserializer for MyDeserializer {\n /* ... */\n}\n\nIf the Deserializer never invokes visit_borrowed_str or\nvisit_borrowed_bytes, the 'de lifetime will be an unconstrained lifetime\nparameter.\nstruct MyDeserializer {\n read: R,\n}\n\nimpl Deserializer for MyDeserializer\nwhere\n R: io::Read,\n{\n /* ... */\n}\n\nBorrowing data in a derived impl\nFields of type &str and &[u8] are implicitly borrowed from the input data by\nSerde. Any other type of field can opt in to borrowing by using the\n#[serde(borrow)] attribute.\nuse serde::Deserialize;\n\nuse std::borrow::Cow;\n\n#[derive(Deserialize)]\nstruct Inner {\n // &str and &[u8] are implicitly borrowed.\n username: &'a str,\n\n // Other types must be borrowed explicitly.\n #[serde(borrow)]\n comment: Cow,\n}\n\n#[derive(Deserialize)]\nstruct Outer {\n owned: String,\n\n #[serde(borrow)]\n inner: Inner,\n\n // This field is never borrowed.\n not_borrowed: Cow,\n}\n\nThis attribute works by placing bounds on the 'de lifetime of the generated\nDeserialize impl. For example the impl for the struct Outer defined above\nlooks like this:\n// The lifetimes 'a and 'b are borrowed while 'c is not.\nimpl Deserialize for Outer {\n /* ... */\n}\n\nThe attribute may specify explicitly which lifetimes should be borrowed.\nuse std::marker::PhantomData;\n\n// This struct borrows the first two lifetimes but not the third.\n#[derive(Deserialize)]\nstruct Three {\n a: &'a str,\n b: &'b str,\n c: PhantomData,\n}\n\n#[derive(Deserialize)]\nstruct Example {\n // Borrow 'a and 'b only, not 'c.\n #[serde(borrow = \"'a + 'b\")]\n three: Three,\n}\n\n"},"examples.html":{"url":"examples.html","title":"Examples","keywords":"","body":"Examples\nStructs and enums in JSON: The representation chosen by\nserde_json for structs and enums. Other\nhuman-readable data formats are encouraged to follow an analogous approach where\npossible.\nEnum representations: Externally tagged,\ninternally tagged, adjacently tagged, and untagged ways of representing an enum\nin self-describing formats.\nDefault value for a field: Some examples of the\n#[serde(default)] attribute.\nHandwritten generic type bounds: Some unusual scenarios in\nwhich Serde's derive infers the wrong generic type bounds. The impl bounds can\nbe replaced with handwritten ones using the #[serde(bound)] attribute.\nDeserialize for custom map type: Detailed explanation\nof each step involved in deserializing a map.\nArray of values without buffering: Deserialize the\nmaximum value of an array of integers without holding the whole array in memory\nat once. This approach can be adapted to handle a variety of other situations in\nwhich data needs to be processed while being deserialized instead of after.\nSerialize enum as number: A macro to impl Serialize and\nDeserialize for a C-like enum in a way that represents it as a u64 across\nall data formats.\nSerialize fields as camelCase: One common application of\nthe #[serde(rename)] attribute.\nSkip serializing field: Some examples of the\n#[serde(skip_serializing)] and #[serde(skip_serializing_if)] attributes.\nDerive for remote crate: Deriving Serialize and\nDeserialize implementations for a type in somebody else's crate.\nManually deserialize struct: The long form of the\nDeserialize impl generated by derive for a simple struct.\nDiscarding data: Using IgnoredAny to efficiently discard\ndata from a deserializer.\nTranscode one format into another: Use the\nserde-transcode crate to stream\ninput in one format to output in another format efficiently.\nDeserialize either a string or a struct: The\ndocker-compose.yml\nconfiguration file has a \"build\" key which can be either a string or a struct.\nConvert error types: Map a Serde error from some format\ninto a Serde error for some other format using Error::custom.\nDate in a custom format: Handle a\nchrono DateTime formatted with a\ncustom string representation.\n"},"json.html":{"url":"json.html","title":"Structs and enums in JSON","keywords":"","body":"Structs and enums in JSON\nA Serde Serializer is responsible for selecting the convention by which Rust\nstructs and enums are represented in that format. Here are the conventions\nselected by the serde_json data format.\nFor consistency, other human-readable formats are encouraged to develop\nanalogous conventions where possible.\nstruct W {\n a: i32,\n b: i32,\n}\nlet w = W { a: 0, b: 0 }; // Represented as `{\"a\":0,\"b\":0}`\n\nstruct X(i32, i32);\nlet x = X(0, 0); // Represented as `[0,0]`\n\nstruct Y(i32);\nlet y = Y(0); // Represented as just the inner value `0`\n\nstruct Z;\nlet z = Z; // Represented as `null`\n\nenum E {\n W { a: i32, b: i32 },\n X(i32, i32),\n Y(i32),\n Z,\n}\nlet w = E::W { a: 0, b: 0 }; // Represented as `{\"W\":{\"a\":0,\"b\":0}}`\nlet x = E::X(0, 0); // Represented as `{\"X\":[0,0]}`\nlet y = E::Y(0); // Represented as `{\"Y\":0}`\nlet z = E::Z; // Represented as `\"Z\"`\n\n"},"enum-representations.html":{"url":"enum-representations.html","title":"Enum representations","keywords":"","body":"Enum representations\nConsider the following enum type:\n#[derive(Serialize, Deserialize)]\nenum Message {\n Request { id: String, method: String, params: Params },\n Response { id: String, result: Value },\n}\n\nExternally tagged\nThe default representation for this enum in Serde is called the externally\ntagged enum representation. Written in JSON syntax it looks like:\n{\"Request\": {\"id\": \"...\", \"method\": \"...\", \"params\": {...}}}\n\nThe externally tagged representation is characterized by being able to know\nwhich variant we are dealing with before beginning to parse the content of the\nvariant. This property allows it to work across a broad range of text and binary\nformats. The Serializer::serialize_*_variant and\nDeserializer::deserialize_enum methods use an externally tagged\nrepresentation.\nThis representation can handle any type of variant: struct variants like above,\ntuple variants, newtype variants, and unit variants.\nIn JSON and other self-describing formats, the externally tagged representation\nis often not ideal for readability. Serde provides attributes to select three\nother possible representations.\nInternally tagged\n#[derive(Serialize, Deserialize)]\n#[serde(tag = \"type\")]\nenum Message {\n Request { id: String, method: String, params: Params },\n Response { id: String, result: Value },\n}\n\nWritten in JSON syntax, the internally tagged representation looks like this:\n{\"type\": \"Request\", \"id\": \"...\", \"method\": \"...\", \"params\": {...}}\n\nThe tag identifying which variant we are dealing with is now inside of the\ncontent, next to any other fields of the variant. This representation is common\nin Java libraries.\nThis representation works for struct variants, newtype variants containing\nstructs or maps, and unit variants but does not work for enums containing tuple\nvariants. Using a #[serde(tag = \"...\")] attribute on an enum containing a\ntuple variant is an error at compile time.\nAdjacently tagged\n#[derive(Serialize, Deserialize)]\n#[serde(tag = \"t\", content = \"c\")]\nenum Block {\n Para(Vec),\n Str(String),\n}\n\nThis representation is common in the Haskell world. Written in JSON syntax:\n{\"t\": \"Para\", \"c\": [{...}, {...}]}\n{\"t\": \"Str\", \"c\": \"the string\"}\n\nThe tag and the content are adjacent to each other as two fields within the same\nobject.\nUntagged\n#[derive(Serialize, Deserialize)]\n#[serde(untagged)]\nenum Message {\n Request { id: String, method: String, params: Params },\n Response { id: String, result: Value },\n}\n\nWritten in JSON syntax, the untagged representation looks like this:\n{\"id\": \"...\", \"method\": \"...\", \"params\": {...}}\n\nThere is no explicit tag identifying which variant the data contains. Serde will\ntry to match the data against each variant in order and the first one that\ndeserializes successfully is the one returned.\nThis representation can handle enums containing any type of variant.\nAs another example of an untagged enum, this enum can be deserialized from\neither an integer or an array of two strings:\n#[derive(Serialize, Deserialize)]\n#[serde(untagged)]\nenum Data {\n Integer(u64),\n Pair(String, String),\n}\n\n"},"attr-default.html":{"url":"attr-default.html","title":"Default value for a field","keywords":"","body":"Default value for a field\nuse serde::Deserialize;\n\n#[derive(Deserialize, Debug)]\nstruct Request {\n // Use the result of a function as the default if \"resource\" is\n // not included in the input.\n #[serde(default = \"default_resource\")]\n resource: String,\n\n // Use the type's implementation of std::default::Default if\n // \"timeout\" is not included in the input.\n #[serde(default)]\n timeout: Timeout,\n\n // Use a method from the type as the default if \"priority\" is not\n // included in the input. This may also be a trait method.\n #[serde(default = \"Priority::lowest\")]\n priority: Priority,\n}\n\nfn default_resource() -> String {\n \"/\".to_string()\n}\n\n/// Timeout in seconds.\n#[derive(Deserialize, Debug)]\nstruct Timeout(u32);\nimpl Default for Timeout {\n fn default() -> Self {\n Timeout(30)\n }\n}\n\n#[derive(Deserialize, Debug)]\nenum Priority { ExtraHigh, High, Normal, Low, ExtraLow }\nimpl Priority {\n fn lowest() -> Self { Priority::ExtraLow }\n}\n\nfn main() {\n let json = r#\"\n [\n {\n \"resource\": \"/users\"\n },\n {\n \"timeout\": 5,\n \"priority\": \"High\"\n }\n ]\n \"#;\n\n let requests: Vec = serde_json::from_str(json).unwrap();\n\n // The first request has resource=\"/users\", timeout=30, priority=ExtraLow\n println!(\"{:?}\", requests[0]);\n\n // The second request has resource=\"/\", timeout=5, priority=High\n println!(\"{:?}\", requests[1]);\n}\n\n"},"attr-flatten.html":{"url":"attr-flatten.html","title":"Struct flattening","keywords":"","body":"Struct flattening\nThe flatten attribute inlines keys from a field into the parent struct.\nflatten may be used any number of times within the same struct. It is\nsupported only within structs that have named fields, and the field to which it\nis applied must be a struct or map type.\nNote: flatten is not supported in combination with structs that use\ndeny_unknown_fields. Neither the outer nor inner flattened struct should use\nthat attribute.\nThe flatten attribute serves the following two common use cases:\nFactor out frequently grouped keys\nConsider a paginated API which returns a page of results along with pagination\nmetadata that identifies how many results were requested, how far into the total\nset of results we are looking at, and how many results exist in total. If we are\npaging through a total of 1053 results 100 at a time, the third page may look\nlike this.\n{\n \"limit\": 100,\n \"offset\": 200,\n \"total\": 1053,\n \"users\": [\n {\"id\": \"49824073-979f-4814-be10-5ea416ee1c2f\", \"username\": \"john_doe\"},\n ...\n ]\n}\n\nThis same scheme with \"limit\" and \"offset\" and \"total\" fields may be\nshared across lots of different API queries. For example we may want paginated\nresults when querying for users, for issues, for projects, etc.\nIn this case it can be convenient to factor the common pagination metadata fields\ninto a shared struct that can be flattened into each API response object.\n#[derive(Serialize, Deserialize)]\nstruct Pagination {\n limit: u64,\n offset: u64,\n total: u64,\n}\n\n#[derive(Serialize, Deserialize)]\nstruct Users {\n users: Vec,\n\n #[serde(flatten)]\n pagination: Pagination,\n}\n\nCapture additional fields\nA field of map type can be flattened to hold additional data that is not\ncaptured by any other fields of the struct.\nuse std::collections::HashMap;\nuse serde::{Serialize, Deserialize};\nuse serde_json::Value;\n\n#[derive(Serialize, Deserialize)]\nstruct User {\n id: String,\n username: String,\n\n #[serde(flatten)]\n extra: HashMap,\n}\n\nFor example if we fill the flattened extra field with the key \"mascot\":\n\"Ferris\", it would serialize to the following JSON representation.\n{\n \"id\": \"49824073-979f-4814-be10-5ea416ee1c2f\",\n \"username\": \"john_doe\",\n \"mascot\": \"Ferris\"\n}\n\nDeserialization of this data would populate \"mascot\" back into the flattened\nextra field. This way additional data in an object can be collected for later\nprocessing.\n"},"attr-bound.html":{"url":"attr-bound.html","title":"Handwritten generic type bounds","keywords":"","body":"Handwritten generic type bounds\nWhen deriving Serialize and Deserialize implementations for structs with\ngeneric type parameters, most of the time Serde is able to infer the correct\ntrait bounds without help from the programmer. It uses several heuristics to\nguess the right bound, but most importantly it puts a bound of T: Serialize on\nevery type parameter T that is part of a serialized field and a bound of T:\nDeserialize on every type parameter T that is part of a deserialized field.\nAs with most heuristics, this is not always right and Serde provides an escape\nhatch to replace the automatically generated bound by one written by the\nprogrammer.\nuse serde::{de, Deserialize, Deserializer};\n\nuse std::fmt::Display;\nuse std::str::FromStr;\n\n#[derive(Deserialize, Debug)]\nstruct Outer {\n // When deriving the Deserialize impl, Serde would want to generate a bound\n // `S: Deserialize` on the type of this field. But we are going to use the\n // type's `FromStr` impl instead of its `Deserialize` impl by going through\n // `deserialize_from_str`, so we override the automatically generated bound\n // by the one required for `deserialize_from_str`.\n #[serde(deserialize_with = \"deserialize_from_str\")]\n #[serde(bound(deserialize = \"S: FromStr, S::Err: Display\"))]\n s: S,\n\n // Here Serde would want to generate a bound `T: Deserialize`. That is a\n // stricter condition than is necessary. In fact, the `main` function below\n // uses T=str which does not implement Deserialize. We override the\n // automatically generated bound by a looser one.\n #[serde(bound(deserialize = \"Ptr: Deserialize\"))]\n ptr: Ptr,\n}\n\n/// Deserialize a type `S` by deserializing a string, then using the `FromStr`\n/// impl of `S` to create the result. The generic type `S` is not required to\n/// implement `Deserialize`.\nfn deserialize_from_str(deserializer: D) -> Result\nwhere\n S: FromStr,\n S::Err: Display,\n D: Deserializer,\n{\n let s: String = Deserialize::deserialize(deserializer)?;\n S::from_str(&s).map_err(de::Error::custom)\n}\n\n/// A pointer to `T` which may or may not own the data. When deserializing we\n/// always want to produce owned data.\n#[derive(Debug)]\nenum Ptr {\n Ref(&'a T),\n Owned(Box),\n}\n\nimpl Deserialize for Ptr\nwhere\n Box: Deserialize,\n{\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer,\n {\n Deserialize::deserialize(deserializer).map(Ptr::Owned)\n }\n}\n\nfn main() {\n let j = r#\"\n {\n \"s\": \"1234567890\",\n \"ptr\": \"owned\"\n }\n \"#;\n\n let result: Outer = serde_json::from_str(j).unwrap();\n\n // result = Outer { s: 1234567890, ptr: Owned(\"owned\") }\n println!(\"result = {:?}\", result);\n}\n\n"},"deserialize-map.html":{"url":"deserialize-map.html","title":"Deserialize for custom map type","keywords":"","body":"Implement Deserialize for a custom map type\nuse std::fmt;\nuse std::marker::PhantomData;\n\nuse serde::de::{Deserialize, Deserializer, Visitor, MapAccess};\n\n// A Visitor is a type that holds methods that a Deserializer can drive\n// depending on what is contained in the input data.\n//\n// In the case of a map we need generic type parameters K and V to be\n// able to set the output type correctly, but don't require any state.\n// This is an example of a \"zero sized type\" in Rust. The PhantomData\n// keeps the compiler from complaining about unused generic type\n// parameters.\nstruct MyMapVisitor {\n marker: PhantomData MyMap>\n}\n\nimpl MyMapVisitor {\n fn new() -> Self {\n MyMapVisitor {\n marker: PhantomData\n }\n }\n}\n\n// This is the trait that Deserializers are going to be driving. There\n// is one method for each type of data that our type knows how to\n// deserialize from. There are many other methods that are not\n// implemented here, for example deserializing from integers or strings.\n// By default those methods will return an error, which makes sense\n// because we cannot deserialize a MyMap from an integer or string.\nimpl Visitor for MyMapVisitor\nwhere\n K: Deserialize,\n V: Deserialize,\n{\n // The type that our Visitor is going to produce.\n type Value = MyMap;\n\n // Format a message stating what data this Visitor expects to receive.\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n formatter.write_str(\"a very special map\")\n }\n\n // Deserialize MyMap from an abstract \"map\" provided by the\n // Deserializer. The MapAccess input is a callback provided by\n // the Deserializer to let us see each entry in the map.\n fn visit_map(self, mut access: M) -> Result\n where\n M: MapAccess,\n {\n let mut map = MyMap::with_capacity(access.size_hint().unwrap_or(0));\n\n // While there are entries remaining in the input, add them\n // into our map.\n while let Some((key, value)) = access.next_entry()? {\n map.insert(key, value);\n }\n\n Ok(map)\n }\n}\n\n// This is the trait that informs Serde how to deserialize MyMap.\nimpl Deserialize for MyMap\nwhere\n K: Deserialize,\n V: Deserialize,\n{\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer,\n {\n // Instantiate our Visitor and ask the Deserializer to drive\n // it over the input data, resulting in an instance of MyMap.\n deserializer.deserialize_map(MyMapVisitor::new())\n }\n}\n\n"},"stream-array.html":{"url":"stream-array.html","title":"Array of values without buffering","keywords":"","body":"Process an array of values without buffering into a Vec\nSuppose we have an array of integers and we want to figure out the maximum value\nwithout holding the whole array in memory all at once. This approach can be\nadapted to handle a variety of other situations in which data needs to be\nprocessed while being deserialized instead of after.\nuse serde::{Deserialize, Deserializer};\nuse serde::de::{self, Visitor, SeqAccess};\n\nuse std::{cmp, fmt};\nuse std::marker::PhantomData;\n\n#[derive(Deserialize)]\nstruct Outer {\n id: String,\n\n // Deserialize this field by computing the maximum value of a sequence\n // (JSON array) of values.\n #[serde(deserialize_with = \"deserialize_max\")]\n // Despite the struct field being named `max_value`, it is going to come\n // from a JSON field called `values`.\n #[serde(rename(deserialize = \"values\"))]\n max_value: u64,\n}\n\n/// Deserialize the maximum of a sequence of values. The entire sequence\n/// is not buffered into memory as it would be if we deserialize to Vec\n/// and then compute the maximum later.\n///\n/// This function is generic over T which can be any type that implements\n/// Ord. Above, it is used with T=u64.\nfn deserialize_max(deserializer: D) -> Result\nwhere\n T: Deserialize + Ord,\n D: Deserializer,\n{\n struct MaxVisitor(PhantomData T>);\n\n impl Visitor for MaxVisitor\n where\n T: Deserialize + Ord,\n {\n /// Return type of this visitor. This visitor computes the max of a\n /// sequence of values of type T, so the type of the maximum is T.\n type Value = T;\n\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n formatter.write_str(\"a nonempty sequence of numbers\")\n }\n\n fn visit_seq(self, mut seq: S) -> Result\n where\n S: SeqAccess,\n {\n // Start with max equal to the first value in the seq.\n let mut max = seq.next_element()?.ok_or_else(||\n // Cannot take the maximum of an empty seq.\n de::Error::custom(\"no values in seq when looking for maximum\")\n )?;\n\n // Update the max while there are additional values.\n while let Some(value) = seq.next_element()? {\n max = cmp::max(max, value);\n }\n\n Ok(max)\n }\n }\n\n // Create the visitor and ask the deserializer to drive it. The\n // deserializer will call visitor.visit_seq() if a seq is present in\n // the input data.\n let visitor = MaxVisitor(PhantomData);\n deserializer.deserialize_seq(visitor)\n}\n\nfn main() {\n let j = r#\"\n {\n \"id\": \"demo-deserialize-max\",\n \"values\": [\n 256,\n 100,\n 384,\n 314,\n 271\n ]\n }\n \"#;\n\n let out: Outer = serde_json::from_str(j).unwrap();\n\n // Prints \"max value: 384\"\n println!(\"max value: {}\", out.max_value);\n}\n\n"},"enum-number.html":{"url":"enum-number.html","title":"Serialize enum as number","keywords":"","body":"Serialize enum as number\nThe serde_repr crate provides alternative derive macros that derive the same\nSerialize and Deserialize traits but delegate to the underlying representation\nof a C-like enum. This allows C-like enums to be formatted as integers rather\nthan strings in JSON, for example.\n[dependencies]\nserde = \"1.0\"\nserde_json = \"1.0\"\nserde_repr = \"0.1\"\n\nuse serde_repr::*;\n\n#[derive(Serialize_repr, Deserialize_repr, PartialEq, Debug)]\n#[repr(u8)]\nenum SmallPrime {\n Two = 2,\n Three = 3,\n Five = 5,\n Seven = 7,\n}\n\nfn main() {\n use SmallPrime::*;\n let nums = vec![Two, Three, Five, Seven];\n\n // Prints [2,3,5,7]\n println!(\"{}\", serde_json::to_string(&nums).unwrap());\n\n assert_eq!(Two, serde_json::from_str(\"2\").unwrap());\n}\n\n"},"attr-rename.html":{"url":"attr-rename.html","title":"Serialize fields as camelCase","keywords":"","body":"Serialize fields as camelCase\nuse serde::Serialize;\n\n#[derive(Serialize)]\n#[serde(rename_all = \"camelCase\")]\nstruct Person {\n first_name: String,\n last_name: String,\n}\n\nfn main() {\n let person = Person {\n first_name: \"Graydon\".to_string(),\n last_name: \"Hoare\".to_string(),\n };\n\n let json = serde_json::to_string_pretty(&person).unwrap();\n\n // Prints:\n //\n // {\n // \"firstName\": \"Graydon\",\n // \"lastName\": \"Hoare\"\n // }\n println!(\"{}\", json);\n}\n\n"},"attr-skip-serializing.html":{"url":"attr-skip-serializing.html","title":"Skip serializing field","keywords":"","body":"Skip serializing field\nNOTE: Using skip_serializing does not skip deserializing the field. If\nyou only add the skip_serializing attribute, and then attempt to deserialize\nthe data, it will fail, as it will still attempt to deserialize the skipped\nfield. Please use the skip attribute to skip both serializing and\ndeserializing (see Field Attributes: skip). Likewise, use\nskip_deserializing to skip deserializing only.\nuse serde::Serialize;\n\nuse std::collections::BTreeMap as Map;\n\n#[derive(Serialize)]\nstruct Resource {\n // Always serialized.\n name: String,\n\n // Never serialized.\n #[serde(skip_serializing)]\n hash: String,\n\n // Use a method to decide whether the field should be skipped.\n #[serde(skip_serializing_if = \"Map::is_empty\")]\n metadata: Map,\n}\n\nfn main() {\n let resources = vec![\n Resource {\n name: \"Stack Overflow\".to_string(),\n hash: \"b6469c3f31653d281bbbfa6f94d60fea130abe38\".to_string(),\n metadata: Map::new(),\n },\n Resource {\n name: \"GitHub\".to_string(),\n hash: \"5cb7a0c47e53854cd00e1a968de5abce1c124601\".to_string(),\n metadata: {\n let mut metadata = Map::new();\n metadata.insert(\"headquarters\".to_string(),\n \"San Francisco\".to_string());\n metadata\n },\n },\n ];\n\n let json = serde_json::to_string_pretty(&resources).unwrap();\n\n // Prints:\n //\n // [\n // {\n // \"name\": \"Stack Overflow\"\n // },\n // {\n // \"name\": \"GitHub\",\n // \"metadata\": {\n // \"headquarters\": \"San Francisco\"\n // }\n // }\n // ]\n println!(\"{}\", json);\n}\n\n"},"remote-derive.html":{"url":"remote-derive.html","title":"Derive for remote crate","keywords":"","body":"Deriving De/Serialize for type in a different crate\nRust's orphan rule requires that either the trait or the type for which you\nare implementing the trait must be defined in the same crate as the impl, so it\nis not possible to implement Serialize and Deserialize for a type in a\ndifferent crate directly.\n- use serde::Serialize;\n- use other_crate::Duration;\n-\n- // Not allowed by orphan rule.\n- impl Serialize for Duration {\n- /* ... */\n- }\n\nTo work around this, Serde provides a way of deriving Serialize and\nDeserialize implementations for types in other people's crates. The only catch\nis that you have to provide a definition of the type for Serde's derive to\nprocess. At compile time, Serde will check that all the fields in the definition\nyou provided match the fields in the remote type.\n// Pretend that this is somebody else's crate, not a module.\nmod other_crate {\n // Neither Serde nor the other crate provides Serialize and Deserialize\n // impls for this struct.\n pub struct Duration {\n pub secs: i64,\n pub nanos: i32,\n }\n}\n\n////////////////////////////////////////////////////////////////////////////////\n\nuse other_crate::Duration;\nuse serde::{Serialize, Deserialize};\n\n// Serde calls this the definition of the remote type. It is just a copy of the\n// remote data structure. The `remote` attribute gives the path to the actual\n// type we intend to derive code for.\n#[derive(Serialize, Deserialize)]\n#[serde(remote = \"Duration\")]\nstruct DurationDef {\n secs: i64,\n nanos: i32,\n}\n\n// Now the remote type can be used almost like it had its own Serialize and\n// Deserialize impls all along. The `with` attribute gives the path to the\n// definition for the remote type. Note that the real type of the field is the\n// remote type, not the definition type.\n#[derive(Serialize, Deserialize)]\nstruct Process {\n command_line: String,\n\n #[serde(with = \"DurationDef\")]\n wall_time: Duration,\n}\n\nIf the remote type is a struct with all public fields or an enum, that's all\nthere is to it. If the remote type is a struct with one or more private fields,\ngetters must be provided for the private fields and a conversion must be\nprovided to construct the remote type.\n// Pretend that this is somebody else's crate, not a module.\nmod other_crate {\n // Neither Serde nor the other crate provides Serialize and Deserialize\n // impls for this struct. Oh, and the fields are private.\n pub struct Duration {\n secs: i64,\n nanos: i32,\n }\n\n impl Duration {\n pub fn new(secs: i64, nanos: i32) -> Self {\n Duration { secs: secs, nanos: nanos }\n }\n\n pub fn seconds(&self) -> i64 {\n self.secs\n }\n\n pub fn subsec_nanos(&self) -> i32 {\n self.nanos\n }\n }\n}\n\n////////////////////////////////////////////////////////////////////////////////\n\nuse other_crate::Duration;\nuse serde::{Serialize, Deserialize};\n\n// Provide getters for every private field of the remote struct. The getter must\n// return either `T` or `&T` where `T` is the type of the field.\n#[derive(Serialize, Deserialize)]\n#[serde(remote = \"Duration\")]\nstruct DurationDef {\n #[serde(getter = \"Duration::seconds\")]\n secs: i64,\n #[serde(getter = \"Duration::subsec_nanos\")]\n nanos: i32,\n}\n\n// Provide a conversion to construct the remote type.\nimpl From for Duration {\n fn from(def: DurationDef) -> Duration {\n Duration::new(def.secs, def.nanos)\n }\n}\n\n#[derive(Serialize, Deserialize)]\nstruct Process {\n command_line: String,\n\n #[serde(with = \"DurationDef\")]\n wall_time: Duration,\n}\n\nInvoking the remote impl directly\nAs shown above, the remote impl is intended to be invoked through a\n#[serde(with = \"...\")] attribute on a field of some other struct.\nInvoking the remote impl directly, such as if this is the top-level type being\nserialized or deserialized, is somewhat more complicated because of the orphan\nrules as mentioned. The code ultimately generated by these remote derives are\nnot Serialize and Deserialize impls but associated functions with the same\nsignature.\n// Technically this derive does not produce a Deserialize impl for Duration, nor\n// a Deserialize impl for DurationDef.\n//\n// Instead it produces a deserialization method DurationDef::deserialize whose\n// return type is Duration. The method has the same signature as a Deserialize\n// impl for Duration would have but is not a Deserialize impl.\n#[derive(Deserialize)]\n#[serde(remote = \"Duration\")]\nstruct DurationDef {\n secs: i64,\n nanos: i32,\n}\n\nKnowing this, the generated method can be invoked directly by passing a\nDeserializer implementation.\nlet mut de = serde_json::Deserializer::from_str(j);\nlet dur = DurationDef::deserialize(&mut de)?;\n\n// `dur` has type Duration\n\nAlternatively we can write a top-level newtype wrapper as a private helper for\ndeserializing the remote type.\n#[derive(Deserialize)]\nstruct Helper(#[serde(with = \"DurationDef\")] Duration);\n\nlet dur = serde_json::from_str(j).map(|Helper(dur)| dur)?;\n\n// `dur` has type Duration\n\n"},"deserialize-struct.html":{"url":"deserialize-struct.html","title":"Manually deserialize struct","keywords":"","body":"Manually implementing Deserialize for a struct\nOnly when derive is not getting the job done.\nThe Deserialize impl below corresponds to the following struct:\nstruct Duration {\n secs: u64,\n nanos: u32,\n}\n\nDeserializing a struct is somewhat more complicated than deserializing a\nmap in order to avoid allocating a String to hold the field\nnames. Instead there is a Field enum which is deserialized from a &str.\nThe implementation supports two possible ways that a struct may be represented\nby a data format: as a seq like in Postcard, and as a map like in JSON.\nuse std::fmt;\n\nuse serde::de::{self, Deserialize, Deserializer, Visitor, SeqAccess, MapAccess};\n\nimpl Deserialize for Duration {\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer,\n {\n enum Field { Secs, Nanos }\n\n // This part could also be generated independently by:\n //\n // #[derive(Deserialize)]\n // #[serde(field_identifier, rename_all = \"lowercase\")]\n // enum Field { Secs, Nanos }\n impl Deserialize for Field {\n fn deserialize(deserializer: D) -> Result\n where\n D: Deserializer,\n {\n struct FieldVisitor;\n\n impl Visitor for FieldVisitor {\n type Value = Field;\n\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n formatter.write_str(\"`secs` or `nanos`\")\n }\n\n fn visit_str(self, value: &str) -> Result\n where\n E: de::Error,\n {\n match value {\n \"secs\" => Ok(Field::Secs),\n \"nanos\" => Ok(Field::Nanos),\n _ => Err(de::Error::unknown_field(value, FIELDS)),\n }\n }\n }\n\n deserializer.deserialize_identifier(FieldVisitor)\n }\n }\n\n struct DurationVisitor;\n\n impl Visitor for DurationVisitor {\n type Value = Duration;\n\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n formatter.write_str(\"struct Duration\")\n }\n\n fn visit_seq(self, mut seq: V) -> Result\n where\n V: SeqAccess,\n {\n let secs = seq.next_element()?\n .ok_or_else(|| de::Error::invalid_length(0, &self))?;\n let nanos = seq.next_element()?\n .ok_or_else(|| de::Error::invalid_length(1, &self))?;\n Ok(Duration::new(secs, nanos))\n }\n\n fn visit_map(self, mut map: V) -> Result\n where\n V: MapAccess,\n {\n let mut secs = None;\n let mut nanos = None;\n while let Some(key) = map.next_key()? {\n match key {\n Field::Secs => {\n if secs.is_some() {\n return Err(de::Error::duplicate_field(\"secs\"));\n }\n secs = Some(map.next_value()?);\n }\n Field::Nanos => {\n if nanos.is_some() {\n return Err(de::Error::duplicate_field(\"nanos\"));\n }\n nanos = Some(map.next_value()?);\n }\n }\n }\n let secs = secs.ok_or_else(|| de::Error::missing_field(\"secs\"))?;\n let nanos = nanos.ok_or_else(|| de::Error::missing_field(\"nanos\"))?;\n Ok(Duration::new(secs, nanos))\n }\n }\n\n const FIELDS: &'static [&'static str] = &[\"secs\", \"nanos\"];\n deserializer.deserialize_struct(\"Duration\", FIELDS, DurationVisitor)\n }\n}\n\n"},"ignored-any.html":{"url":"ignored-any.html","title":"Discarding data","keywords":"","body":"Discarding data\nThe IgnoredAny type gives an efficient way of discarding data from a\ndeserializer.\nThink of this like serde_json::Value in that it can be deserialized from\nany type, except that it does not store any information about the data that\ngets deserialized.\nuse std::fmt;\nuse std::marker::PhantomData;\n\nuse serde::de::{\n self, Deserialize, DeserializeSeed, Deserializer, Visitor, SeqAccess,\n IgnoredAny,\n};\nuse serde_json::json;\n\n// A seed that can be used to deserialize only the `n`th element of a sequence\n// while efficiently discarding elements of any type before or after index `n`.\n//\n// For example to deserialize only the element at index 3:\n//\n// NthElement::new(3).deserialize(deserializer)\npub struct NthElement {\n n: usize,\n marker: PhantomData T>,\n}\n\nimpl NthElement {\n pub fn new(n: usize) -> Self {\n NthElement {\n n: n,\n marker: PhantomData,\n }\n }\n}\n\nimpl Visitor for NthElement\nwhere\n T: Deserialize,\n{\n type Value = T;\n\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n write!(formatter, \"a sequence in which we care about element {}\", self.n)\n }\n\n fn visit_seq(self, mut seq: V) -> Result\n where\n V: SeqAccess,\n {\n // Skip over the first `n` elements.\n for i in 0..self.n {\n // It is an error if the sequence ends before we get to element `n`.\n if seq.next_element::()?.is_none() {\n return Err(de::Error::invalid_length(i, &self));\n }\n }\n\n // Deserialize the one we care about.\n let nth = seq.next_element()?\n .ok_or_else(|| de::Error::invalid_length(self.n, &self))?;\n\n // Skip over any remaining elements in the sequence after `n`.\n while let Some(IgnoredAny) = seq.next_element()? {\n // ignore\n }\n\n Ok(nth)\n }\n}\n\nimpl DeserializeSeed for NthElement\nwhere\n T: Deserialize,\n{\n type Value = T;\n\n fn deserialize(self, deserializer: D) -> Result\n where\n D: Deserializer,\n {\n deserializer.deserialize_seq(self)\n }\n}\n\nfn main() {\n let array = json!([\"a\", \"b\", \"c\", \"d\", \"e\"]);\n\n let nth: String = NthElement::new(3).deserialize(&array).unwrap();\n\n println!(\"{}\", nth);\n assert_eq!(nth, array[3]);\n}\n\n"},"transcode.html":{"url":"transcode.html","title":"Transcode into another format","keywords":"","body":"Transcode one format into another\nThe serde-transcode crate\nprovides functionality to \"transcode\" from an arbitrary Serde Deserializer to\nan arbitrary Serde Serializer without needing to collect the entire input into\nan intermediate form in memory. This provides a fully general way to convert any\nself-describing Serde data format into any other Serde data format in a\nmemory-efficient streaming way.\nFor example you could transcode a stream of JSON data into a stream of CBOR\ndata, or transcode unformatted JSON into its pretty-printed form.\nThis example implements the equivalent of Go's\njson.Compact function which\nremoves insignificant whitespace from a JSON string in a streaming way.\nuse std::io;\n\nfn main() {\n // A JSON input with plenty of whitespace.\n let input = r#\"\n {\n \"a boolean\": true,\n \"an array\": [3, 2, 1]\n }\n \"#;\n\n // A JSON deserializer. You can use any Serde Deserializer here.\n let mut deserializer = serde_json::Deserializer::from_str(input);\n\n // A compacted JSON serializer. You can use any Serde Serializer here.\n let mut serializer = serde_json::Serializer::new(io::stdout());\n\n // Prints `{\"a boolean\":true,\"an array\":[3,2,1]}` to stdout.\n // This line works with any self-describing Deserializer and any Serializer.\n serde_transcode::transcode(&mut deserializer, &mut serializer).unwrap();\n}\n\n"},"string-or-struct.html":{"url":"string-or-struct.html","title":"Either string or struct","keywords":"","body":"Deserialize either a string or a struct\nThe docker-compose.yml\nconfiguration file has a \"build\" key which can be either a string or a struct.\nbuild: ./dir\n\n# --- or ---\n\nbuild:\n context: ./dir\n dockerfile: Dockerfile-alternate\n args:\n buildno: 1\n\nThe configuration file uses the same pattern in other places as well, typically\nwhere a previously existing string field has been expanded to handle more\ncomplex data.\nWe can use Rust's\nFromStr trait and\nSerde's deserialize_with attribute to handle this pattern in a general way.\nuse std::collections::BTreeMap as Map;\nuse std::fmt;\nuse std::marker::PhantomData;\nuse std::str::FromStr;\n\nuse serde::{Deserialize, Deserializer};\nuse serde::de::{self, Visitor, MapAccess};\nuse void::Void;\n\nfn main() {\n let build_string = \"\n build: ./dir\n \";\n let service: Service = serde_yaml::from_str(build_string).unwrap();\n\n // context=\"./dir\"\n // dockerfile=None\n // args={}\n println!(\"{:?}\", service);\n\n let build_struct = \"\n build:\n context: ./dir\n dockerfile: Dockerfile-alternate\n args:\n buildno: '1'\n \";\n let service: Service = serde_yaml::from_str(build_struct).unwrap();\n\n // context=\"./dir\"\n // dockerfile=Some(\"Dockerfile-alternate\")\n // args={\"buildno\": \"1\"}\n println!(\"{:?}\", service);\n}\n\n#[derive(Debug, Deserialize)]\nstruct Service {\n // The `string_or_struct` function delegates deserialization to a type's\n // `FromStr` impl if given a string, and to the type's `Deserialize` impl if\n // given a struct. The function is generic over the field type T (here T is\n // `Build`) so it can be reused for any field that implements both `FromStr`\n // and `Deserialize`.\n #[serde(deserialize_with = \"string_or_struct\")]\n build: Build,\n}\n\n#[derive(Debug, Deserialize)]\nstruct Build {\n // This is the only required field.\n context: String,\n\n dockerfile: Option,\n\n // When `args` is not present in the input, this attribute tells Serde to\n // use `Default::default()` which in this case is an empty map. See the\n // \"default value for a field\" example for more about `#[serde(default)]`.\n #[serde(default)]\n args: Map,\n}\n\n// The `string_or_struct` function uses this impl to instantiate a `Build` if\n// the input file contains a string and not a struct. According to the\n// docker-compose.yml documentation, a string by itself represents a `Build`\n// with just the `context` field set.\n//\n// > `build` can be specified either as a string containing a path to the build\n// > context, or an object with the path specified under context and optionally\n// > dockerfile and args.\nimpl FromStr for Build {\n // This implementation of `from_str` can never fail, so use the impossible\n // `Void` type as the error type.\n type Err = Void;\n\n fn from_str(s: &str) -> Result {\n Ok(Build {\n context: s.to_string(),\n dockerfile: None,\n args: Map::new(),\n })\n }\n}\n\nfn string_or_struct(deserializer: D) -> Result\nwhere\n T: Deserialize + FromStr,\n D: Deserializer,\n{\n // This is a Visitor that forwards string types to T's `FromStr` impl and\n // forwards map types to T's `Deserialize` impl. The `PhantomData` is to\n // keep the compiler from complaining about T being an unused generic type\n // parameter. We need T in order to know the Value type for the Visitor\n // impl.\n struct StringOrStruct(PhantomData T>);\n\n impl Visitor for StringOrStruct\n where\n T: Deserialize + FromStr,\n {\n type Value = T;\n\n fn expecting(&self, formatter: &mut fmt::Formatter) -> fmt::Result {\n formatter.write_str(\"string or map\")\n }\n\n fn visit_str(self, value: &str) -> Result\n where\n E: de::Error,\n {\n Ok(FromStr::from_str(value).unwrap())\n }\n\n fn visit_map(self, map: M) -> Result\n where\n M: MapAccess,\n {\n // `MapAccessDeserializer` is a wrapper that turns a `MapAccess`\n // into a `Deserializer`, allowing it to be used as the input to T's\n // `Deserialize` implementation. T then deserializes itself using\n // the entries from the map visitor.\n Deserialize::deserialize(de::value::MapAccessDeserializer::new(map))\n }\n }\n\n deserializer.deserialize_any(StringOrStruct(PhantomData))\n}\n\n"},"convert-error.html":{"url":"convert-error.html","title":"Convert error types","keywords":"","body":"Converting error types\nIn some situations, values in some format must be contained inside of data in\nsome other format. For example an IAM policy in Terraform is represented as a\nJSON string contained inside of an HCL config.\nIt would be simple to treat the inner value as just a String, but if we are\ngoing to be manipulating both the inner and outer value it can often be\nconvenient to serialize and deserialize them all at once.\nOne occasional stumbling block in such situations is correctly handling errors.\nThe two formats may (probably do) have different Error types, so some conversion\nis necessary.\nThis example shows a simplified HCL resource containing a simplified IAM policy.\nThe policy document is represented as a JSON string when serialized.\nuse serde::{Serialize, Deserialize};\n\n#[derive(Serialize, Deserialize)]\nstruct Resource {\n name: String,\n\n #[serde(with = \"as_json_string\")]\n policy: Policy,\n}\n\n#[derive(Serialize, Deserialize)]\nstruct Policy {\n effect: String,\n action: String,\n resource: String,\n}\n\n// Serialize and deserialize logic for dealing with nested values represented as\n// JSON strings.\nmod as_json_string {\n use serde_json;\n use serde::ser::{Serialize, Serializer};\n use serde::de::{Deserialize, DeserializeOwned, Deserializer};\n\n // Serialize to a JSON string, then serialize the string to the output\n // format.\n pub fn serialize(value: &T, serializer: S) -> Result\n where\n T: Serialize,\n S: Serializer,\n {\n use serde::ser::Error;\n let j = serde_json::to_string(value).map_err(Error::custom)?;\n j.serialize(serializer)\n }\n\n // Deserialize a string from the input format, then deserialize the content\n // of that string as JSON.\n pub fn deserialize(deserializer: D) -> Result\n where\n T: DeserializeOwned,\n D: Deserializer,\n {\n use serde::de::Error;\n let j = String::deserialize(deserializer)?;\n serde_json::from_str(&j).map_err(Error::custom)\n }\n}\n\nfn main() {\n let resource = Resource {\n name: \"test_policy\".to_owned(),\n policy: Policy {\n effect: \"Allow\".to_owned(),\n action: \"s3:ListBucket\".to_owned(),\n resource: \"arn:aws:s3:::example_bucket\".to_owned(),\n },\n };\n\n let y = serde_yaml::to_string(&resource).unwrap();\n println!(\"{}\", y);\n}\n\n"},"custom-date-format.html":{"url":"custom-date-format.html","title":"Custom date format","keywords":"","body":"Date in a custom format\nThis uses the chrono crate to\nserialize and deserialize JSON data containing a custom date format. The with\nattribute is used to provide the logic for handling the custom representation.\nuse chrono::{DateTime, Utc};\nuse serde::{Serialize, Deserialize};\n\n#[derive(Serialize, Deserialize, Debug)]\npub struct StructWithCustomDate {\n // DateTime supports Serde out of the box, but uses RFC3339 format. Provide\n // some custom logic to make it use our desired format.\n #[serde(with = \"my_date_format\")]\n pub timestamp: DateTime,\n\n // Any other fields in the struct.\n pub bidder: String,\n}\n\nmod my_date_format {\n use chrono::{DateTime, Utc, TimeZone};\n use serde::{self, Deserialize, Serializer, Deserializer};\n\n const FORMAT: &'static str = \"%Y-%m-%d %H:%M:%S\";\n\n // The signature of a serialize_with function must follow the pattern:\n //\n // fn serialize(&T, S) -> Result\n // where\n // S: Serializer\n //\n // although it may also be generic over the input types T.\n pub fn serialize(\n date: &DateTime,\n serializer: S,\n ) -> Result\n where\n S: Serializer,\n {\n let s = format!(\"{}\", date.format(FORMAT));\n serializer.serialize_str(&s)\n }\n\n // The signature of a deserialize_with function must follow the pattern:\n //\n // fn deserialize(D) -> Result\n // where\n // D: Deserializer\n //\n // although it may also be generic over the output types T.\n pub fn deserialize(\n deserializer: D,\n ) -> Result, D::Error>\n where\n D: Deserializer,\n {\n let s = String::deserialize(deserializer)?;\n Utc.datetime_from_str(&s, FORMAT).map_err(serde::de::Error::custom)\n }\n}\n\nfn main() {\n let json_str = r#\"\n {\n \"timestamp\": \"2017-02-16 21:54:30\",\n \"bidder\": \"Skrillex\"\n }\n \"#;\n\n let data: StructWithCustomDate = serde_json::from_str(json_str).unwrap();\n println!(\"{:#?}\", data);\n\n let serialized = serde_json::to_string_pretty(&data).unwrap();\n println!(\"{}\", serialized);\n}\n\n"},"no-std.html":{"url":"no-std.html","title":"No-std support","keywords":"","body":"No-std support\nThe serde crate has a Cargo feature named \"std\" that is enabled by default.\nIn order to use Serde in a no_std context this feature needs to be disabled.\nModify your Serde dependency in Cargo.toml to opt out of enabled-by-default\nfeatures.\n[dependencies]\nserde = { version = \"1.0\", default-features = false }\n\nBe aware that Cargo features are unioned together across your entire dependency\ngraph. That means if any other crate you depend on has not opted out of Serde's\ndefault features, you will build Serde with the std feature enabled whether or\nnot your direct dependency on Serde has default-features = false.\nIn particular, a dependency on serde_json always needs Serde built with std.\nIf you need JSON support without a standard library, please use\nserde-json-core instead of serde_json.\nDerive\nThe #[derive(Serialize, Deserialize)] derive macros work just the same in a\nno-std crate.\n[dependencies]\nserde = { version = \"1.0\", default-features = false, features = [\"derive\"] }\n\nSome deserialization features that require a heap-allocated temporary buffer\nwill not be available in no-std mode without a memory allocator. In particular\nuntagged enums cannot be deserialized.\nMemory allocation\nOpting out of the \"std\" feature of Serde removes support for any standard\nlibrary data structures that involve heap memory allocation, including String\nand Vec. It also removes some features of derive(Deserialize) including\nuntagged enums.\nYou can opt back in to these impls by enabling the \"alloc\" Cargo feature.\nThis configuration provides integration for heap-allocated collections without\ndepending on the rest of the Rust standard library.\n[dependencies]\nserde = { version = \"1.0\", default-features = false, features = [\"alloc\"] }\n\n"},"feature-flags.html":{"url":"feature-flags.html","title":"Feature flags","keywords":"","body":"Feature flags\nThe serde crate defines some Cargo features to enable using Serde in a\nvariety of freestanding environments.\nBuilding Serde with default-features = false, you will receive a stock\nno_std Serde with no support for any of the collection types.\n\n\nfeatures = [\"derive\"] \nProvide derive macros for the Serialize and Deserialize traits.\nThis is behind a feature because the derive macro implementation takes some\nextra time to compile.\nfeatures = [\"std\"] \nThis feature is enabled by default.\nProvide impls for common standard library types like Vec and\nHashMap. Requires a dependency on the Rust standard library.\nSee no-std support for details.\nfeatures = [\"unstable\"] \nProvide impls for types that require unstable functionality. For tracking and\ndiscussion of unstable functionality please refer to serde-rs/serde#812.\nfeatures = [\"alloc\"] \nProvide impls for types in the Rust core allocation and collections library\nincluding String, Box, Vec, and Cow. This is a subset\nof std but may be enabled without depending on all of std.\nRequires a dependency on the core allocation library.\nSee no-std support for details.\nfeatures = [\"rc\"] \nOpt into impls for Rc and Arc. Serializing and deserializing\nthese types does not preserve identity and may result in multiple copies of the\nsame data. Be sure that this is what you want before enabling this feature.\nSerializing a data structure containing reference-counted pointers will\nserialize a copy of the inner value of the pointer each time a pointer is\nreferenced within the data structure. Serialization will not attempt to\ndeduplicate these repeated data.\nDeserializing a data structure containing reference-counted pointers will not\nattempt to deduplicate references to the same data. Every deserialized pointer\nwill end up with a strong count of 1.\n"}}} \ No newline at end of file diff --git a/stream-array.html b/stream-array.html index 4859a60c..a07de8a6 100644 --- a/stream-array.html +++ b/stream-array.html @@ -769,7 +769,7 @@

diff --git a/string-or-struct.html b/string-or-struct.html index 688ac0f9..a1bba670 100644 --- a/string-or-struct.html +++ b/string-or-struct.html @@ -819,7 +819,7 @@

diff --git a/transcode.html b/transcode.html index 4c6f7151..a3482fdf 100644 --- a/transcode.html +++ b/transcode.html @@ -708,7 +708,7 @@

diff --git a/unit-testing.html b/unit-testing.html index 8f512e21..c3c219fb 100644 --- a/unit-testing.html +++ b/unit-testing.html @@ -724,7 +724,7 @@

diff --git a/variant-attrs.html b/variant-attrs.html index ea029dc1..457a376b 100644 --- a/variant-attrs.html +++ b/variant-attrs.html @@ -733,6 +733,12 @@

Unknown variant would be deserialized any time the "variant" field of the input is neither "A" nor "B".

+
  • #[serde(untagged)]
    +

    Irrespective of the enum representation, serialize +and deserialize this variant as untagged, i.e. simply as the variant's data +with no record of the variant name.

    +

    Untagged variants must be ordered last in the enum definition.

    +
    • @@ -761,7 +767,7 @@

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