Creates GraphQL string schema from plain JSON objects. Managing GraphQL schemas via plain JSON objects offers the following advantages:
- Composition: Reuse the same base object in inputs or types.
- Separation of concerns: Isolate your domain in modules and merge them later.
- Inspection: Easily traverse the schema tree.
- Leaner: Define GraphQL types, enums and inputs on-the-fly (anonymous types) instead of having to define them explicitly.
This package works with both ES6 modules and CommonJS.
npm i graphql-schemax
import { Schemax } from 'graphql-schemax'
// const { Schemax } = require('graphql-schemax') // CommonJS
const schema = new Schemax(
'type Query', {
users: { where: { id:'ID', first_name:'String', last_name:'String', email:'String' }, sort: { by:['first_name', 'last_name'], dir:['asc', 'desc'] }, limit: 'Int', ':': [{
id:'ID',
first_name:'String',
last_name:'String',
email:'String'
}] }
},
'type Mutation', {
createUser: { user: { first_name:'String', last_name:'String', email:'String'}, ':':{
id:'ID',
first_name:'String',
last_name:'String',
email:'String'
} }
}
)
console.log(schema.toString())
This code outputs the following string:
type Query {
users(where: Input_0826775903, sort: Input_0419529037, limit: Int): [Type_0826775903]
}
type Mutation {
createUser(user: Input_01074650554): Type_0826775903
}
input Input_0826775903 {
id: ID
first_name: String
last_name: String
email: String
}
enum Enum_0110021644 {
first_name
last_name
}
enum Enum_1894885946 {
asc
desc
}
input Input_0419529037 {
by: Enum_0110021644
dir: Enum_1894885946
}
type Type_0826775903 {
id: ID
first_name: String
last_name: String
email: String
}
input Input_01074650554 {
first_name: String
last_name: String
email: String
}
schema {
query: Query
mutation: Mutation
}
import { Schemax } from 'graphql-schemax'
// const { Schemax } = require('graphql-schemax') // CommonJS
const schema = new Schemax(
'type Query', {
users: { where: { id:'ID', first_name:'String', last_name:'String', email:'String' }, sort: { by:['first_name', 'last_name'], dir:['asc', 'desc'] }, limit: 'Int', ':': [{
id:'ID',
first_name:'String',
last_name:'String',
email:'String'
}] }
},
'type Mutation', {
createUser: { user: { first_name:'String', last_name:'String', email:'String'}, ':':{
id:'ID',
first_name:'String',
last_name:'String',
email:'String'
} }
}
)
console.log(schema.toString())
This code outputs the following string:
type Query {
users(where: Input_0826775903, sort: Input_0419529037, limit: Int): [Type_0826775903]
}
type Mutation {
createUser(user: Input_01074650554): Type_0826775903
}
input Input_0826775903 {
id: ID
first_name: String
last_name: String
email: String
}
enum Enum_0110021644 {
first_name
last_name
}
enum Enum_1894885946 {
asc
desc
}
input Input_0419529037 {
by: Enum_0110021644
dir: Enum_1894885946
}
type Type_0826775903 {
id: ID
first_name: String
last_name: String
email: String
}
input Input_01074650554 {
first_name: String
last_name: String
email: String
}
schema {
query: Query
mutation: Mutation
}
Notice that:
- The GraphQL
input
are automatically generated. They are referred as anonymous inputs. The naming convention isInput_<hash>
where<hash>
is the hash of the input definition. The same mechanism is used for anonymoustype
andenum
. This strategy allows to avoid unecessary type duplication. This can be seen with the output of theusers
andcreateUser
methods. The same object results in a single schema definition calledType_0826775903
. - GraphQL
enum
(e.g.,by:['first_name', 'last_name']
) uses an array instead of an object. - Arguments such as those defined on the
users
andcreateUser
methods are represented by an object that uses this convention:- { argument01: 'TypeDefinition', argument02: 'TypeDefinition', ':': 'TypeDefinition' }
- The last property must always be
':'
, which represents the output. This property is required. first_name:'String'
is actually a shortcut forfirst_name: { ':': 'String' }
.
If you wish to be explicit about each type, the example above can be re-written as follow:
const schema = new Schemax(
'type User', {
id:'ID',
first_name:'String',
last_name:'String',
email:'String'
},
'input WhereUser', {
id:'ID',
first_name:'String',
last_name:'String',
email:'String'
},
'input SortUser', {
by: 'SortByEnum',
dir: 'DirEnum'
},
'input InsertUser', {
first_name:'String',
last_name:'String',
email:'String'
},
'enum SortByEnum', [
'first_name',
'last_name'
],
'enum DirEnum', [
'asc',
'desc'
],
'type Query', {
users: { where: 'WhereUser', sort: 'SortUser', limit: 'Int', ':': '[User]' }
},
'type Mutation', {
createUser: { user: 'InsertUser', ':': 'User' }
}
)
console.log(schema.toString())
Which outputs:
type User {
id: ID
first_name: String
last_name: String
email: String
}
input WhereUser {
id: ID
first_name: String
last_name: String
email: String
}
input SortUser {
by: SortByEnum
dir: DirEnum
}
input InsertUser {
first_name: String
last_name: String
email: String
}
enum SortByEnum {
first_name
last_name
}
enum DirEnum {
asc
desc
}
type Query {
users(where: WhereUser, sort: SortUser, limit: Int): [User]
}
type Mutation {
createUser(user: InsertUser): User
}
schema {
query: Query
mutation: Mutation
}
Notice that enum
definitions use arrays instead of objects.
The sample below shows how to use the coord
object as a GraphQL type (used in the Tower
type) and a GraphQL input (used in the towers
field).
const coord = {
lat:'Float',
long:'Float'
}
const schema = new Schemax(
'type Tower', {
id:'ID!',
name: 'String!',
coord: { ':': coord }
},
'type Query @aws_cognito_user_pools', {
towers: {
where: { id:'ID', coord:coord },
':': '[Tower]'
}
}
)
Defining GraphQL enums is done via string arrays:
const schema = new Schemax(
'type Tower', {
id:'ID!',
name: 'String!',
type: ['tall', 'short']
}
)
Defining GraphQL array types is done via object arrays:
const schema = new Schemax(
'type Tower', {
id:'ID!',
name: 'String!',
type: ['tall', 'short'],
devices: { ':': [{ id:'ID', name: 'String'}] }
}
)
Let's assume there is an explicit Device
type, and that a Tower
typ needs to define a devices
field as an array of Device
. The following is incorrect:
const schema = new Schemax(
'type Device', {
id: 'ID',
name: 'String'
},
'type Tower', {
id:'ID!',
name: 'String!',
devices: ['Device']
}
)
In this example, the Tower.devices
field is a GraphQL enum with one possible value called Device
.
The correct definition is:
const schema = new Schemax(
'type Device', {
id: 'ID',
name: 'String'
},
'type Tower', {
id:'ID!',
name: 'String!',
devices: '[Device]'
}
)
or, alternatively:
const schema = new Schemax(
'type Device', {
id: 'ID',
name: 'String'
},
'type Tower', {
id:'ID!',
name: 'String!',
devices: { ':': [{ id:'ID', name:'String' }] }
}
)
Use the __required
property or its alias !
as follow:
const schema = new Schemax(
'type Query', {
users: { where: { id:'ID', first_name:'String', __required:true }, ':': [{
id:'ID',
first_name:'String',
last_name:'String',
email:'String'
}] }
}
)
console.log(schema.toString())
With the alias:
users: { where: { id:'ID', first_name:'String', '!':true }, ':': [{
Which outputs:
type Query {
users(where: Input_01605579239!): [Type_0826775903]
}
input Input_01605579239 {
id: ID
first_name: String
}
type Type_0826775903 {
id: ID
first_name: String
last_name: String
email: String
}
schema {
query: Query
}
To make an anonymous enum required, use the reserved __required
string, or its alias !
:
const schema = [
'type Query', {
products:{ type:['car','home','furniture','__required'], ':':{ name:'String' } }
}
]
console.log(new Schemax(schema).toString())
With the alias:
['car','home','furniture','!']
Which outputs:
type Query {
products(type: Enum_11845869194!): Type_12078318863
}
enum Enum_11845869194 {
car
furniture
home
}
type Type_12078318863 {
name: String
}
schema {
query: Query
}
Use the __noempty
keyword or its alias !0
to create enums similar to [RoleEnum!]
.
const schema = [
'type Mutation', {
invite: { users:[{
id:'ID',
email:'String',
roles:[['admin','writer','reader','__required','__noempty','__name:RoleEnum']],
__noempty:true,
__name:'UserInviteInput'
}], ':':{ message:'String', __name:'Message' } }
}
]
console.log(new Schemax(schema).toString())
With the alias:
roles:[['admin','writer','reader','__required','!0','__name:RoleEnum']]
Which outputs:
type Mutation {
invite(users: [UserInviteInput!]): Message
}
enum RoleEnum {
admin
reader
writer
}
input UserInviteInput {
id: ID
email: String
roles: [RoleEnum!]!
}
type Message {
message: String
}
schema {
mutation: Mutation
}
Use the __name
property or its alias #
as follow:
const schema = new Schemax(
'type Query', {
users: { where: { id:'ID', first_name:'String', __required:true, __name: 'WhereUserInput' }, ':': [{
id:'ID',
first_name:'String',
last_name:'String',
email:'String',
__name: 'User'
}] }
}
)
console.log(schema.toString())
With the alias:
users: { where: { id:'ID', first_name:'String', __required:true, '#': 'WhereUserInput' }, ':': [{
Which outputs:
type Query {
users(where: WhereUserInput!): [User]
}
input WhereUserInput {
id: ID
first_name: String
}
type User {
id: ID
first_name: String
last_name: String
email: String
}
schema {
query: Query
}
To use a custom enum, use the reserved __name:YOUR_NAME
string or its alias version #YOUR_NAME
:
const schema = [
'type Query', {
products:{ type:['car','home','furniture','__name:ProductTypeEnum'], ':':{ name:'String' } }
}
]
console.log(new Schemax(schema).toString())
With the alias:
['car','home','furniture','#ProductTypeEnum']
NOTICE: With the#
alias, the:
is dropped.
type Query {
products(type: ProductTypeEnum): Type_12078318863
}
enum ProductTypeEnum {
car
furniture
home
}
type Type_12078318863 {
name: String
}
schema {
query: Query
}
const schema = new Schemax(
`directive @deprecated(
reason: String = "No longer supported"
) on FIELD_DEFINITION | ENUM_VALUE`, null,
'type Query @aws_cognito_user_pools', {
users: { where: { id:'ID', first_name:'String', __required:true, __name: 'WhereUserInput' }, ':': [{
id:'ID @aws_auth',
first_name:'String',
last_name:'String',
'@aws_api_key @aws_cognito_user_pools(cognito_groups: ["Bloggers", "Readers"])': null,
email:'String',
__name: 'User'
}] }
}
)
schema.addIgnoreRules(['Unknown directive'])
console.log(schema.toString())
NOTES:
schema.addIgnoreRules(['Unknown directive'])
is necessary to prevent theUnknown directive
error to break the compilation. To know more about this topic, please refer to theaddIgnoreRules
section.- Adding the same
first_name
would fail as a JSON object cannot define multiple identical keys. To overcome this limitation please refer to the Multiple identical directives section.
Which outputs:
directive @deprecated(
reason: String = "No longer supported"
) on FIELD_DEFINITION | ENUM_VALUE
type Query @aws_cognito_user_pools {
users(where: WhereUserInput!): [User]
}
input WhereUserInput {
id: ID
first_name: String
}
type User {
id: ID @aws_auth
first_name: String
last_name: String
@aws_api_key @aws_cognito_user_pools(cognito_groups: ["Bloggers", "Readers"])
email: String
}
schema {
query: Query
}
Notice how the directive must be followed by null
.
In the example above, only one field (email
) is using the @aws_api_key @aws_cognito_user_pools(cognito_groups: ["Bloggers", "Readers"])
directive. Adding that directive on the first_name
would fail as a JSON object cannot define multiple identical keys. To overcome this limitation, prefix the directive with its field:
const schema = new Schemax(
`directive @deprecated(
reason: String = "No longer supported"
) on FIELD_DEFINITION | ENUM_VALUE`, null,
'type Query @aws_cognito_user_pools', {
users: { where: { id:'ID', first_name:'String', __required:true, __name: 'WhereUserInput' }, ':': [{
id:'ID @aws_auth',
'first_name:@aws_api_key @aws_cognito_user_pools(cognito_groups: ["Bloggers", "Readers"])': null,
first_name:'String',
last_name:'String',
'email:@aws_api_key @aws_cognito_user_pools(cognito_groups: ["Bloggers", "Readers"])': null,
email:'String',
__name: 'User'
}] }
}
)
schema.addIgnoreRules(['Unknown directive'])
console.log(schema.toString())
The Schemax
class supports multiple signatures:
- Undefined amount of arguments with support for
- Single object to configure various options and the schema definition at the same time.
import { Schemax } from 'graphql-schemax'
const schema = new Schemax(
'type Project', {
id: 'ID',
name: 'String'
},
'type User', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Query', {
projects: '[Project]',
users: '[User]'
}
)
console.log(schema.toString())
Which can also be written as follow:
import { Schemax } from 'graphql-schemax'
const inlineSchema = [
'type Project', {
id: 'ID',
name: 'String'
},
'type User', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Query', {
projects: '[Project]',
users: '[User]'
}]
const schema = new Schemax(...inlineSchema)
console.log(schema.toString())
import { Schemax } from 'graphql-schemax'
const inlineSchema = [
'type Project', {
id: 'ID',
name: 'String'
},
'type User', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Query', {
projects: '[Project]',
users: '[User]'
}]
const schema = new Schemax(inlineSchema)
console.log(schema.toString())
or
import { Schemax } from 'graphql-schemax'
const inlineSchema01 = [
'type Project', {
id: 'ID',
name: 'String'
},
'type Query', {
projects: '[Project]'
}]
const inlineSchema02 = [
'type User', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Query', {
users: '[User]'
}]
const schema = new Schemax(inlineSchema01, inlineSchema02)
console.log(schema.toString())
NOTICE: The
type Query
is defined twice. When Schemax detects multiple identical definitions, it merges them. This means that in this example, the output is equal to:type Query { projects: [Project] users: [User] }
Finally, the constructor also support mixing those two styles:
const schema = new Schemax(inlineSchema01,
'type User', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Query', {
users: '[User]'
})
Compiles the Schemax
instance to a GraphQL string.
import { Schemax } from 'graphql-schemax'
const schema = new Schemax(
'type Project', {
id: 'ID',
name: 'String'
},
'type User', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Query', {
projects: '[Project]',
users: '[User]'
}
)
console.log(schema.toString())
Which outputs:
type Project {
id: ID
name: String
}
type User {
id: ID
first_name: String
last_name: String
}
type Query {
projects: [Project]
users: [User]
}
schema {
query: Query
}
import { Schemax } from 'graphql-schemax'
const schema = new Schemax({
ignoreRules:['Unknown directive'],
typeResolutions: [{
def: 'type User',
to: 'type User @some_undefined_directive'
}],
defs:[
'type Project', {
id: 'ID',
name: 'String'
},
'type User', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Query', {
projects: '[Project]',
users: '[User]'
}
]
})
console.log(schema.toString())
Which outputs:
type Project {
id: ID
name: String
}
type Query {
projects: [Project]
users: [User]
}
type User @some_undefined_directive {
id: ID
first_name: String
last_name: String
}
schema {
query: Query
}
NOTES: To learn more about the
ignoreRules
andtypeResolutions
, please refer to the following sections:
Mutates the Schemax
instance by adding more schema definitions. It supports the same signature as the constructor
.
import { Schemax } from 'graphql-schemax'
const inlineSchema01 = [
'type Project', {
id: 'ID',
name: 'String'
},
'type Query', {
projects: '[Project]'
}]
const inlineSchema02 = [
'type User', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Query', {
users: '[User]'
}]
const schema = new Schemax()
console.log('SAMPLE 01')
console.log(schema.toString())
schema.add(inlineSchema01)
console.log('SAMPLE 02')
console.log(schema.toString())
schema.add(inlineSchema02,
'type Address', {
id: 'ID',
line01: 'String'
})
console.log('SAMPLE 03')
console.log(schema.toString())
Which outputs:
// SAMPLE 01
// SAMPLE 02
type Project {
id: ID
name: String
}
type Query {
projects: [Project]
}
schema {
query: Query
}
// SAMPLE 03
type Project {
id: ID
name: String
}
type Query {
projects: [Project]
users: [User]
}
type User {
id: ID
first_name: String
last_name: String
}
type Address {
id: ID
line01: String
}
schema {
query: Query
}
graphql-schemax
validates the generated string schema to prevent GraphQL errors. Depending on your use case, you might need to ignore those errors (e.g., undefined directives throw an Unknown directive
GraphQL error if directives are used but not defined. This happens with global directives such as @aws_api_key
or @aws_cognito_user_pools
in AWS AppSync). GraphQL errors can be ignore based on their message using the addIgnoreRules
API as follow:
import { Schemax } from 'graphql-schemax'
const schema = new Schemax(
'type Project', {
id: 'ID',
name: 'String'
},
'type User @aws_api_key', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Query', {
projects: '[Project]',
users: '[User]'
})
schema.addIgnoreRules(['Unknown directive'])
console.log(schema.toString())
Where schema.addIgnoreRules(['Unknown directive'])
can be read as follow: Ignore GraphQL errors whose message starts with 'Unknown directive'.
This example supports 2 variations:
schema.addIgnoreRules([/^Unknown directive/])
: Use regular expression for more advanced string matching.schema.addIgnoreRules([(errMsg => /^Unknown directive/.test(errMsg))])
: Use customfunction for even more advanced string matching.
The values of this API can also be defined in the Single object signature version of the Schemax constructor.
Helps renaming or merging types by explicitly controlling how type names are resolved.
import { Schemax } from 'graphql-schemax'
const inlineSchema01 = [
'type Project', {
id: 'ID',
name: 'String'
},
'type Query', {
projects: '[Project]'
}]
const inlineSchema02 = [
'type User', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Query', {
users: '[User]'
}]
const schema = new Schemax(...inlineSchema01, ...inlineSchema02)
schema.addTypeResolutions([{
def: 'type User', to: 'type User @aws_api_key'
}])
// Necessary to prevent the @aws_api_key directive to break the compilation.
schema.addIgnoreRules(['Unknown directive'])
console.log(schema.toString())
NOTES:
schema.addIgnoreRules(['Unknown directive'])
is necessary to prevent theUnknown directive
error to break the compilation. To know more about this topic, please refer to theaddIgnoreRules
section.
The values of this API can also be defined in the Single object signature version of the Schemax constructor.
import { Schemax } from 'graphql-schemax'
const inlineSchema01 = [
'type Project', {
id: 'ID',
name: 'String'
},
'type Query', {
projects: '[Project]'
}]
const inlineSchema02 = [
'type User', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Query @aws_api_key', {
users: '[User]'
}]
const schema = new Schemax(...inlineSchema01, ...inlineSchema02)
schema.addTypeResolutions([{
def: /^type Query(\s|$)/, keepLongest:true
}])
// Necessary to prevent the @aws_api_key directive to break the compilation.
schema.addIgnoreRules(['Unknown directive'])
console.log(schema.toString())
NOTES:
schema.addIgnoreRules(['Unknown directive'])
is necessary to prevent theUnknown directive
error to break the compilation. To know more about this topic, please refer to theaddIgnoreRules
section.
Which returns:
type Project {
id: ID
name: String
}
type User {
id: ID
first_name: String
last_name: String
}
type Query @aws_api_key {
projects: [Project]
users: [User]
}
schema {
query: Query
}
import { Schemax } from 'graphql-schemax'
const inlineSchema01 = [
'type Project', {
id: 'ID',
name: 'String'
},
'type Query', {
projects: '[Project]'
}]
const inlineSchema02 = [
'type User', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Query @aws_api_key', {
users: '[User]'
}]
const schema = new Schemax(...inlineSchema01, ...inlineSchema02)
schema.addTypeResolutions([{
def: /^type Query(\s|$)/, keepShortest:true
}])
// Necessary to prevent the @aws_api_key directive to break the compilation.
schema.addIgnoreRules(['Unknown directive'])
console.log(schema.toString())
NOTES:
schema.addIgnoreRules(['Unknown directive'])
is necessary to prevent theUnknown directive
error to break the compilation. To know more about this topic, please refer to theaddIgnoreRules
section.
Which returns:
type Project {
id: ID
name: String
}
type User {
id: ID
first_name: String
last_name: String
}
type Query {
projects: [Project]
users: [User]
}
schema {
query: Query
}
import { Schemax } from 'graphql-schemax'
const inlineSchema01 = [
'type Project', {
id: 'ID',
name: 'String'
},
'type Query @aws_cognito_user_pools', {
projects: '[Project]'
}]
const inlineSchema02 = [
'type User', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Query @aws_api_key', {
users: '[User]'
}]
const schema = new Schemax(...inlineSchema01, ...inlineSchema02)
schema.addTypeResolutions([{
def: /^type Query(\s|$)/,
reduce:(oldType, newType, context) => { // fired for each type that matches the regex /^type Query(\s|$)/
const attributes = newType.replace('type Query', '').split(' ').filter(x => x)
if (!context.attributes)
context.attributes = new Set(attributes)
else
attributes.forEach(a => context.attributes.add(a))
const attrs = Array.from(context.attributes)
return attrs.length ? `type Query ${attrs.join(' ')}` : 'type Query'
}
}])
// Necessary to prevent the @aws_api_key directive to break the compilation.
schema.addIgnoreRules(['Unknown directive'])
console.log(schema.toString())
NOTES:
schema.addIgnoreRules(['Unknown directive'])
is necessary to prevent theUnknown directive
error to break the compilation. To know more about this topic, please refer to theaddIgnoreRules
section.
Which returns:
type Project {
id: ID
name: String
}
type User {
id: ID
first_name: String
last_name: String
}
type Query @aws_cognito_user_pools @aws_api_key {
projects: [Project]
users: [User]
}
schema {
query: Query
}
This project is built using ES6 modules located under the src
folder. All the entry point definitions are located in the package.json
under the exports
property.
rollup
is used to compile the ES6 modules to CommonJS.
npm run build
This command compiles the ES6 modules located under the src
folder to .cjs
file sent to the dist
folder.
This command is aitomatically executed before exah deployment to make sure the latest build is always depployed.
npm test
Both the constructor
and add
APIs support multiple schema definitions. Those schema definitions are merged when the toString
API is executed.
They are merged into a single type definition. This is how the type Query
, type Mutation
and type Subscription
can be defined in multiple microservice schemas and merged into a single GraphQL schema. For example:
import { Schemax } from 'graphql-schemax'
const inlineSchema01 = [
'type Project', {
id: 'ID',
name: 'String'
},
'type Query', {
projects: '[Project]'
}]
const inlineSchema02 = [
'type User', {
id: 'ID',
first_name: 'String',
last_name: 'String'
},
'type Project', {
sku: 'String'
},
'type Query', {
users: '[User]'
}]
const schema = new Schemax(inlineSchema01, inlineSchema02)
console.log(schema.toString())
Outputs:
type Project {
id: ID
name: String
sku: String
}
type Query {
projects: [Project]
users: [User]
}
type User {
id: ID
first_name: String
last_name: String
}
schema {
query: Query
}
Notice that both type Project
and type Query
are defined twice. They are both merged in the final GraphQL schema.
WARNING: If the type definitions are not exactly identical, the type are considered different and won't be merged. This means that identical types with different directive won't be merged automatically. To deal with this advanced scenario, use the
addTypeResolutions
API.
BSD 3-Clause License
Copyright (c) 2019-2021, Cloudless Consulting Pty Ltd All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
-
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
-
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
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Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
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