diff --git a/docs/dist/about-this-book.html b/docs/dist/about-this-book.html new file mode 100644 index 00000000..93b46478 --- /dev/null +++ b/docs/dist/about-this-book.html @@ -0,0 +1,311 @@ + + + + + + + 13 About this book | Ecological Metadata Language (EML) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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13 About this book

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This book was build using Bookdown (Xie 2015) from Yihui Xie. Thanks!

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To build the book, use rmarkdown::render_site(encoding = 'UTF-8') from the docs directory.

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References

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Xie, Yihui. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. http://yihui.name/knitr/.

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+ + + + + + + + + + + + diff --git a/docs/dist/contributors.html b/docs/dist/contributors.html new file mode 100644 index 00000000..e8d51a51 --- /dev/null +++ b/docs/dist/contributors.html @@ -0,0 +1,476 @@ + + + + + + + 3 Contributors | Ecological Metadata Language (EML) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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3 Contributors

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The EML project is an open source, community oriented project +dedicated to providing a high-quality metadata specification +for describing data relevant to the ecological discipline. +The project is completely comprised of voluntary project +members who donate their time and experience in order to advance +information management for ecology. Project decisions are made by +concensus according to the voting procedures described in the +ecoinformatics.org Charter.

+

We welcome contributions to this work in any form. Individuals +who invest substantial amounts of time and make valuable +contributions to the development and maintenance of EML (in the +opinion of current project members) will be invited to become +EML project members according to the rules set forth in the ecoinformatics.org +Charter. Contributions can take many forms, including the +development of the EML schemas, writing documentation, and helping +with maintenance, among others.

+

Write access to the EML source code repository is reserved for +EML project members. Contributions should be submitted as pull +requests, and will be reviewed and merged by an EML project member.

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3.1 Current contributors

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameOrganizationEmail
Matthew JonesNCEAS, UCSB
Mark SchildhauerNCEAS, UCSB
Chris JonesNCEAS, UCSB
Corinna GriesEDI, UW
Margaret O’BrienEDI, UCSB
Bryce MecumNCEAS, UCSB
Carl BoettigerBerkeley
Mitchell MaierNCEAS, UCSB
Timothy Whiteaker
Stevan EarlLTER, ASU
Steven ChongNCEAS, UCSB
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3.2 Past contributors

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameOrganizationEmail
Chad BerkleyNCEAS, UCSB
Jivka BojilovaNCEAS, UCSB
James BruntLTER, UNM
David BlankmanLTER-Israel, Ma’arg
Owen EddinsLTER LNO, UNM
Daniel HiggensNCEAS, UCSB
Peter McCartneyLTER CAP, ASU
Matthew BrookeNCEAS, UCSB
John HarrisNCEAS, UCSB
Scott ChapalJones Ecological Research Center
Tim BergsmaLTER KBS, MSU
Ken RamseyLTER JRN, NMSU
Saurabh GargNCEAS, UCSB
Mark ServillaEDI, UNM
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6 Data Structure Modules

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The following three modules are used to document the logical layout of a +dataset. Many datasets are comprised of multiple entities (e.g. a series +of tabular data files, or a set of GIS features, or a number of tables +in a relational database). Each entity within a dataset may contain one +or more attributes (e.g. multiple columns in a data file, multiple +attributes of a GIS feature, or multiple columns of a database table). +Lastly, there may be both simple or complex relationships among the +entities within a dataset. The relationships, or the constraints that +are to be enforced in the dataset, are described using the +eml-constraint module. All entities share a common set of information +(described using eml-entity), but some discipline specific entities have +characteristics that are unique to that entity type. Therefore, the +eml-entity module is extended for each of these types (dataTable, +spatialRaster, spatialVector, etc...) which are described in the next +section.

+
+

6.1 The eml-entity module - Entity level information within datasets

+

The eml-entity module defines the logical characteristics of each entity +in the dataset. Entities are usually tables of data (eml-dataTable). +Data tables may be ascii text files, relational database tables, +spreadsheets or other type of tabular data with a fixed logical +structure. Related to data tables are views (eml-view) and stored +procedures (eml-storedProcedure). Views and stored procedures are +produced by an RDBMS or related system. Other types of data such as: +raster (eml-spatialRaster), vector (eml-spatialVector) or +spatialReference image data are also data entities. An otherEntity +element would be used to describe types of entities that are not +described by any other entity type. Each of these entity type uses the eml-entity +module elements as it’s base set of elements, but then extends the base +with entity-specific elements. Note that the eml-spatialReference module +is not an entity type, but is rather a common set of elements used to +describe spatial reference systems in both eml-spatialRaster and +eml-spatialVector. It is described here in relation to those two +modules.

+

The eml-entity module, like other modules, may be “referenced” via the +<references> tag. This allows an entity document to be described once, +and then used as a reference in other locations within the EML document +via its ID.

+
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6.2 The eml-attribute module - Attribute level information within dataset entities

+

The eml-attribute module describes all attributes (variables) in a data +entity: dataTable, spatialRaster, spatialVector, storedProcedure, view +or otherEntity. The description includes the name and definition of each +attribute, its domain, definitions of coded values, and other pertinent +information. Two structures exist in this module: 1. attribute is used +to define a single attribute; 2. attributeList is used to define a list +of attributes that go together in some logical way.

+

The eml-attribute module, like other modules, may be "referenced" via +the <references> tag. This allows an attribute document to be +described once, and then used as a reference in other locations within +the EML document via its ID.

+
+

6.2.1 Philosophy of Attribute Units

+

The concept of "unit" represents one of the most fundamental +categories of metadata. The classic example of data entropy is the case +in which a reported numeric value loses meaning due to lack of +associated units. Much of Ecology is driven by measurement, and most +measurements are inherently comparative. Good data description requires +a representation of the basis for comparison, i.e., the unit. In +modeling the attribute element, the authors of EML drew inspiration from +the NIST Reference on Constants, Units, and +Uncertainty. This +document defines a unit as "a particular physical quantity, defined and +adopted by convention, with which other particular quantities of the +same kind are compared to express their value." The authors of the EML +2.0 specification (hereafter "the authors") decided to make the unit +element required, wherever possible.

+

Units may also be one of the most problematic categories of metadata. +For instance, there are many candidate attributes that clearly have no +units, such as named places and letter grades. There are other candidate +attributes for which units are difficult to identify, despite some +suspicion that they should exist (e.g. pH, dates, times). In still other +cases, units may be meaningful, but apparently absent due to dimensional +analysis (e.g. grams of carbon per gram of soil). The relationship +between units and dimensions likewise is not completely clear.

+

The authors decided to sharpen the model of attribute by nesting unit +under measurementScale. Measurement Scale is a data typology, borrowed +from Statistics, that was introduced in the 1940's. Under the adopted +model, attributes are classified as nominal, ordinal, interval, and +ratio. Though widely criticized, this classification is well-known and +provides at least first-order utility in EML. For example, nesting unit +under measurementScale allows EML to prevent its meaningless inclusion +for categorical data -- an approach judged superior to making unit +universally required or universally optional.

+

The sharpening of the attribute model allowed the elimination of the +unit type "undefined" from the standard unit dictionary (see +eml-unitDictionary.xml). It seemed self-defeating to require the unit +element exactly where appropriate, yet still allow its content to be +undefined. An attribute that requires a unit definition is malformed +until one is provided. The unit type "dimensionless" is preserved, +however. In EML 2.0, it is synonymous with "unitless" and represents +the case in which units cannot be associated with an attribute for some +reason, despite the proper classification of that attribute as interval +or ratio. Dimensionless may itself be an anomaly arising from the +limitations of the adopted measurement scale typology.

+

Closely related to the concept of unit is the concept of attribute +domain. The authors decided that a well-formed description of an +attribute must include some indication of the set of possible values for +that attribute. The set of possible values is useful, perhaps necessary, +for interpreting any particular observed value. While universally +required, attribute domain has different forms, depending on the +associated measurement scale.

+

The element storageType has an obvious relationship to domain. It gives +some indication of the range of possible values of an attribute, and +also gives some (potentially critical) operability information about the +way the attribute is represented or construed in the local storage +system. The storageType element seems to fall in a gray area between the +logical and physical aspects of stored data. Neither comfortable with +eliminating it nor with making it required, the authors left it +available but optional under attribute. In addition, it is repeatable so +that different storage types can be provided for various systems (e.g., +different databases might use different types for columns, even though +the domain of the attribute is the same regardless of which database is +used).

+

Attributes representing dates, times, or combinations thereof (hereafter +"dateTime") were the most difficult to model in EML. Is dateTime of +type interval or ordinal? Does it have units or not? Strong cases can be +made on each side of the issue. The confusion may reflect the +limitations of the measurement scale typology. The final resolution of +the dateTime model is probably somewhat arbitrary. There was clearly a +need, however, to allow for the interoperability of dateTime formats. +EML 2.0 tries to provide an unambiguous mechanism for describing the +format of dateTime values by providing a separate category for date and +time values. This "dateTime" measurement scale allows users to +explicitly label attributes that contain Gregorian date and time values, +and allows them to provide the information needed to parse these values +into their appropriate components (e.g., days, months, years)./

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6.3 The eml-constraint module - Relationships among and within dataset entities

+

The eml-constraint schema defines the integrity constraints between +entities (e.g., data tables) as they would be maintained in a relational +management system. These constraints include primary key constraints, +foreign key constraints, unique key constraints, check constraints, and +not null constraints, among potential others.

+
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6.4 The eml-dataTable module - Logical information about data table entities

+

The eml-dataTable module is used to describe the logical characteristics +of each tabular set of information in a dataset. A series of +comma-separated text files may be considered a dataset, and each file +would subsequently be considered a dataTable entity within the dataset. +Since the eml-dataTable module extends the eml-entity module, it uses +all of the common entity elements to describe the table, along with a +few elements specific to just data table entities. The eml-dataTable +module allows for the description of each attribute +(column/field/variable) within the data table through the use of the +eml-attribute module. Likewise, there are fields used to describe the +physical distribution of the data table, its overall coverage, the +methodology used in creating the data, and other logical structure +information such as its orientation, case sensitivity, etc.

+
+
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6.5 The eml-spatialRaster module - Logical information about regularly gridded geospatial image data

+

The eml-spatialRaster module allows for the description of entities +composed of rectangular grids of data values that are usually +georeferenced to a portion of the earth's surface. Specific attributes +of a spatial raster can be documented here including the spatial +organization of the raster cells, the cell data values, and if derived +via imaging sensors, characteristics about the image and its individual +bands.

+
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6.6 The eml-spatialVector module - Logical information about non-gridded geospatial image data

+

The eml-spatialVector module allows for the description of spatial +objects in a GIS system that are not defined in a regularly gridded +pattern. These geometries include points and vectors and the +relationships among them. Specific attributes of a spatial vector can be +documented here including the vector's geometry type, count and +topology level.

+
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6.7 Schema for validating spatial referencing descriptions

+

This module defines both projected and unprojected coordinate systems +for referencing the spatial coordinates of a dataset to the earth. The +schema is based on that used by Environmental Systems Research Inc +(ESRI) for its .prj file format. EML provides a library of pre-defined +coordinate systems that may be referred to by name in the +horizCoordSysName element. A custom projection may be defined using this +schema for any projection that does not appear in this dictionary.

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6.8 The eml-storedProcedure module - Data tables resulting from procedures stored in a database

+

The storedProcedure module is meant to capture information on procedures +that produce data output in the form of a data table. In an RDBMS one +can code complex queries and transactions into stored procedures and +then invoke them directly from front-end applications. It allows the +optional description of any parameters that are expected to be passed to +the procedure when it is called.

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6.9 The eml-view module - Data tables resulting from a database query

+

The eml-view module describes a view from a database management system. +A view is a query statement that is stored as a database object and +executed each time the view is called.

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7 Discovery and Interpretation Modules

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The following six modules are used to qualify the resources being +described in more detail. They are used to describe access control +rules, distribution of the metadata and data themselves, parties +associated with the resource, the geographic, temporal, and taxonomic +extents of the resource, the overall research context of the resource, +and detailed methodology used for creating the resource. Some of these +modules are imported directly into the top-level resource modules, often +in many locations in order to limit the scope of the description. For +instance, the eml-coverage module may be used for a particular column of +a dataset, rather than the entire dataset as a whole.

+
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7.1 The eml-access module - Access control rules for resources

+

The eml-access module describes the level of access that is to be +allowed or denied to a resource for a particular user or group of users, +and can be described independently for metadata and data. The eml-access +module uses a reference to a particular authentication system to +determine the set of principals (users or groups) that can be specified +in the access rules. The special principal 'public' can be used to +indicate that any user or group has access permission, thereby making it +easier to specify that anonymous access is allowed.

+

There are two mechanisms for including access control via the eml-access +module:

+
    +

  1. The top-level "eml" element may have an optional <access> +element that is used to establish the default access control for the +entire EML package. If this access element is omitted from the +document, then the package submitter should be given full access to +the package but all other users should be denied all access. To +allow the package to be publicly viewable, the EML author must +explicitly include a rule stating so. Barring the existence of a +distribution-level <access> element (see below), access to data +entities will be controlled by the package-level <access> element +in the <eml> element.

    2. +

  2. Exceptions for particular entity-level components of the package can +be controlled at a finer grain by using an access description in +that entity's physical/distribution tree. When access control rules +are specified at this level, they apply only to the data in the +parent distribution element, and not to the metadata. Thus, it will +control access to the content of the <inline> element, as well as +resources that are referenced by the <online/url> and +<online/connection> paths. These exceptions to access for +particular data resources are applied after the default access rules +at the package-level have been applied, so they effectively override +the default rules when they overlap.

    3. +
+

In previous versions of EML access rules for entity-level distribution +were contained in <additionalMetadata> sections and referenced via the +<describes> tag. Although in theory these could have referenced any +node, in application such node-level access control is problematic. +Since the most common uses of access control rules were to limit access +to specific data entities, the access tree has been placed there +explicitly in EML 2.1.0.

+

Access is specified with a choice of child elements, either <allow> or +<deny>. Within these rules, values can be assigned for each +<principal> using the <permission> element. Users given "read" +permission can view the resource; "write" allows changes to the +resource excluding changes to the access rules; "changePermission" +includes "write" plus the changing of access rules. Users allowed +"all" permissions; may do all of the above. Access to data and +metadata is affected by the order attribute of the <access> element. +It is possible for a deny rule to override an allow rule, and vice +versa. In the case where the order attribute is set to "allowFirst", +and there are rules similar to the following (with non-critical sections +deleted):

+ +

the principal "uid=alice ..." will be denied access, because it is a +member of the special "public" principal, and the deny rule is +processed second. For this allow rule to truly allow access to that +principal, the order attribute should be set to "denyFirst", and the +allow rule will override the deny rule when it is processed second.

+

An example is given below, with non-critical sections deleted:

+ +

In this example, the overall default access is to allow the user=alice +(but no one else) to read and write all metadata and data. However, +under "entity123" and "entity234", there is an additional rule +saying that user=alice does not have write permission. The net effect is +that Alice can read and make changes to the metadata, but cannot make +changes to the two data entities. In addition, Alice cannot change these +access rules; although the submitter can.

+

This example also shows how the eml-access module, like other modules, +may be "referenced" via the <references> tag. This allows an access +control document to be described once, and then used as a reference in +other locations within the EML document via its ID.

+

In summary, access rules can be applied in two places in an eml +document. Default access rules are established in the top <access> +element for the main eml document (e.g., "/eml/access"). These default +rules can be overridden for particular data entities by adding +additional <access> elements in the physical/distribution trees of +those entities.

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7.2 The eml-physical module - Physical file format

+

The eml-physical module describes the external and internal physical +characteristics of a data object as well as the information required for +its distribution. Examples of the external physical characteristics of a +data object would be the filename, size, compression, encoding methods, +and authentication of a file or byte stream. Internal physical +characteristics describe the format of the data object being described. +Both named binary or otherwise proprietary formats can be cited (e.g., +Microsoft Access 2000), or text formats can be precisely described +(e.g., ASCII text delimited with commas). For these text formats, it +also includes the information needed to parse the data object to extract +the entity and its attributes from the data object. Distribution +information describes how to retrieve the data object. The retrieval +information can be either online (e.g., a URL or other connection +information) or offline (e.g., a data object residing on an archival +tape).

+

The eml-physical module, like other modules, may be "referenced" via +the <references> tag. This allows a physical document to be described +once, and then used as a reference in other locations within the EML +document via its ID.

+
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7.3 The eml-party module - People and organization information

+

The eml-party module describes a responsible party and is typically used +to name the creator of a resource or metadata document. A responsible +party may be an individual person, an organization or a named position +within an organization. The eml-party module contains detailed contact +information. It is used throughout the other EML modules where detailed +contact information is needed.

+

The eml-party module, like other modules, may be "referenced" via the +<references> tag. This allows a party to be described once, and then +used as a reference in other locations within the EML document via its +ID.

+
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7.4 The eml-coverage module - Geographic, temporal, and taxonomic extents of resources

+

The eml-coverage module contains fields for describing the coverage of a +resource in terms of time, space, and taxonomy. These coverages +(temporal, spatial, and taxonomic) represent the extent of applicability +of the resource in those domains. The Geographic coverage section allows +for 2 means of expressing coverage on the surface of the earth: 1) via a +set of bounding coordinates that define the North, South, East and West +points in a rectangular area, optionally including a bounding altitude, +and 2) using a G-Ring polygon definition, where an irregularly shaped +area may be defined using a ordered list of latitude/longitude +coordinates. A G-Ring may also include an "inner G-Ring" that defines +one or more "cut-outs" in the area, i.e. the donut hole concept.

+

The temporal coverage section allows for the definition of either a +single date or time, or a range of dates or times. These may be +expressed as a calendar date according to the ISO 8601 Date and Time +Specification, or by using an alternate time scale, such as the geologic +time scale. Currently, EML does not have specific fields to indicate +that a data resource may be "ongoing." Two examples are data tables +that are planned to be appended in the future, or resources with complex +connection definitions (such as to a database) which may return data in +real time. It is important that EML be able to handle data from both the +"producer" and "consumer" points of view, although currently the +temporal coverage modules are designed for the latter. There is no +universally acceptable recommendation for describing "ongoing" data +within EML. Some groups have chosen to use the <alternateTimeScale> +node for the end date, with a value of "ongoing," although this +practice is not endorsed by the EML authors. A better solution could be +to use very general content for the endDate (such as only the current +year) so that the data are accurately described, and searches return +datasets as expected. A future version of EML will accommodate such data +types with coverage elements specific to their needs.

+

The taxonomic coverage section allows for detailed description of the +taxonomic extent of the dataset or resource. The taxonomic +classification consists of a recursive set of taxon rank names, their +values, and their common names. This construct allows for a taxonomic +hierarchy to be built to show the level of identification (e.g. Rank +Name = Kingdom, Rank Value = Animalia, Common Name = Animals, and so on +down the hierarchy.) The taxonomic coverage module also allows for the +definition of the classification system in cases where alternative +systems are used.

+

The eml-coverage module, like other modules, may be "referenced" via +the <references> tag. This allows the coverage extent to be described +once, and then used as a reference in other locations within the EML +document via its ID.

+
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7.5 The eml-project module - Research context information for resources

+

The eml-project module describes the research context in which the +dataset was created, including descriptions of over-all motivations and +goals, funding, personnel, description of the study area etc. This is +also the module to describe the design of the project: the scientific +questions being asked, the architecture of the design, etc. This module +is used to place the dataset that is being documented into its larger +research context.

+

The eml-project module, like other modules, may be "referenced" via +the <references> tag. This allows a research project to be described +once, and then used as a reference in other locations within the EML +document via its ID.

+
+
+

7.6 The eml-methods module - Methodological information for resources

+

The eml-methods module describes the methods followed in the creation of +the dataset, including description of field, laboratory and processing +steps, sampling methods and units, quality control procedures. The +eml-methods module is used to describe the actual +procedures that are used in the creation or the subsequent processing of +a dataset. Likewise, eml-methods is used to describe processes that have +been used to define / improve the quality of a data file, or to identify +potential problems with the data file. Note that the eml-protocol module +is intended to be used to document a prescribed +procedure, whereas the eml-method module is used to describe procedures +that were actually performed. The distinction is that the +use of the term "protocol" is used in the "prescriptive" sense, and +the term "method" is used in the "descriptive" sense. This +distinction allows managers to build a protocol library of well-known, +established protocols (procedures), but also document what procedure was +truly performed in relation to the established protocol. The method may +have diverged from the protocol purposefully, or perhaps incidentally, +but the procedural lineage is still preserved and understandable.

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1 EML: Ecological Metadata Language

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Build Status +EML

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Cite as: +Matthew B. Jones, Margaret O’Brien, Bryce Mecum, Carl Boettiger, Mark Schildhauer, Mitchell Maier, Timothy Whiteaker, Steven Chong. 2019. Ecological Metadata Language version 2.2.0. KNB Data Repository. DOI TO BE ISSUED

+

Abstract: +The Ecological Metadata Language (EML) defines a comprehensive vocabulary and a readable XML markup syntax for documenting research data. It is in widespread use in the earth and environmental sciences, and increasingly in other research disciplines as well. EML is a community-maintained specification, and evolves to meet the data documentation needs of researchers who want to openly document, preserve, and share data and outputs. EML includes modules for identifying and citing data packages, for describing the spatial, temporal, taxonomic, and thematic extent of data, for describing research methods and protocols, for describing the structure and content of data within sometimes complex packages of data, and for precisely annotating data with semantic vocabularies. EML includes metadata fields to fully detail data papers that are published in journals specializing in scientific data sharing and preservation.

+ +
+

1.1 Getting Started

+

Composing an EML document can be done in a simple text editor (e.g., Atom), +via scripting languages like R and python (e.g., the R eml package), +in general-purpose XML authoring tools (e.g., Oxygen), and in custom web-based metadata editing tools +(e.g., MetacatUI). While these tools expand and shift over time, the core metadata language +has been consistent and backwards compatible, allowing for decades of seamless +interoperability of data sets in many repositories.

+

EML documents can be started simply, and then additional detail added over time. +On the simple end, an EML document that provides basic bibliographic information +would be sufficient for citing a data set and for simple discovery in catalogs:

+ +

This document can then be supplemented with additional metadata describing research +projects and methods, structural information about the data, and much more.

+
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+

1.2 About the EML Project

+

The EML project is an open source, community oriented project dedicated to providing a high-quality metadata specification for describing data relevant to the ecological discipline. The project is completely comprised of voluntary project members who donate their time and experience in order to advance information management for ecology. Project decisions are made by consensus according to the voting procedures described in the ecoinformatics.org Charter.

+

We welcome contributions to this work in any form. Individuals who invest substantial amounts of time and make valuable contributions to the development and maintenance of EML (in the opinion of current project members) will be invited to become EML project members according to the rules set forth in the ecoinformatics.org Charter. Contributions can take many forms, including the development of the EML schemas, writing documentation, and helping with maintenance, among others.

+
+
+

1.3 Contributing

+

Developers may be interested in browsing the source code repository that we use in developing EML. Starting with EML 2.1.1, the master branch reflects the current stable release of EML. Developmet occurs in development branches (e.g., BRANCH_EML_2_2), which allows experimental additions as they are being proposed by the community. This always contains the most recent development version of EML, and therefore may be in flux, or otherwise broken. It is unlikely that it will contain the same files that are in the current release. Development branches are virtually guaranteed to change before they are released, and so they should not be used in production environments. Use development branches at your own risk for testing. Write access to this repository is reserved for current project maintainers. Please submit contributions as pull requests. We welcome contributions to this work in any form. Contributions can take many forms, including the development of the EML schema, writing documentation, and helping with maintenance, among others. Non-project members can contribute by submitting their feedback, revisions, fixes, code, or any other contribution through pull requests at GitHub. Discussion of issues occurs on the eml-dev@ecoinformatics.org mailing list, or through the EML Issue Tracking system. The preferred way to submit problems with EML or feature requests is the issue tracking system.

+
+
+

1.4 History

+

EML was originally developed by Matthew Jones at NCEAS based on work done by the ESA Committee on the Future of Long-Term Ecological Data and on a related paper on ecological metadata by Michener et al. (see Michener, William K., et al., 1997. Ecological Applications, “Nongeospatial metadata for the ecological sciences” Vol 7(1). pp. 330-342.). Version 1.0 was released at NCEAS in 1997 and used internally, with further internal releases of versions 1.2, 1.3, and 1.4, all of which followed the FLED recommendations closely in its content implementation. Version 2 was modified substantially after experience using the specification at NCEAS and from feedback from the ecological community, particularly the Long Term Ecological Research Network. Versions 2.1 and 2.2 introduce significant new features like internationalization, semantic annotations, and support for data papers.

+
+
+

1.5 Older versions (deprecated)

+

The following versions are still available for reference purposes, although they have been superseded by the current version (2.2.0). Please make every effort to use the current version.

+ +
+ +
+

1.7 Funding and Acknowledgements

+

EML was developed and is maintained with support from the National Center for +Ecological Analysis and Synthesis (NCEAS), a Center +funded by the University of California Santa Barbara and the state of California.

+

This material is based upon work supported by the US National Science Foundation +under Grant No. DEB-9980154, DBI-9904777, 0225676, DEB-0072909, DBI-9983132, +and DEB-9634135. Any opinions, findings and conclusions or recommendations +expressed in this material are those of the author(s) and do not necessarily +reflect the views of the National Science Foundation (NSF).

+

This product includes software developed by the Apache Software +Foundation (http://www.apache.org/). See the LICENSE file in lib/apache +for details.

+

The source code, object code, and documentation in the com.oreilly.servlet +package is copyright and owned by Jason Hunter. See the cos-license.html file +for details of the license. Licensor retains title to and ownership of the +Software and all enhancements, modifications, and updates to the Software.

+

This product includes software developed by the JDOM Project +(http://www.jdom.org/). See jdom-LICENSE.txt for details.

+ +
+
+
+ +
+
+
+ + +
+
+ + + + + + + + + + + + diff --git a/docs/dist/features.html b/docs/dist/features.html new file mode 100644 index 00000000..660942e6 --- /dev/null +++ b/docs/dist/features.html @@ -0,0 +1,372 @@ + + + + + + + 2 Features | Ecological Metadata Language (EML) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ +
+ +
+
+ + +
+
+ +
+
+

2 Features

+

The architecture of EML was designed to serve the needs of the +research community, and has benefitted from previous work in other +related metadata languages. EML has adopted the strengths of many of +these languages, but also addresses a number of shortcomings that have +inhibited the automated processing and integration of dataset +resources via their metadata.

+

The following list represents some of the features of EML:

+
    +

  • Modularity: EML was designed as a collection of modules rather than +one large standard to facilitate future growth of the language in +both breadth and depth. By implementing EML with an extensible +architecture, groups may choose which of the core modules are +pertinent to describing their data, literature, and software +resources. Also, if EML falls short in a particular area, it may be +extended by creating a new module that describes the resource ( +e.g. a detailed soils metadata profile that extends eml-dataset). The +intent is to provide a common set of core modules for information +exchange, but to allow for future customizations of the language +without the need of going through a lengthy approval process.

    • +

  • Detailed Structure: EML strives to balance the tradeoff of too much +detail with enough detail to enable advanced services in terms of +processing data through the parsing of accompanied metadata. +Therefore, a driving question throughout the design was: ‘Will this +particular piece of information be machine-processed, just human +readable, or both?’ Information was then broken down into more +highly structured elements when the answer involved machine +processing.

    • +

  • Compatibility: EML adopts much of it’s syntax from the other +metadata standards that have evolved from the expertise of groups in +other disciplines. Whenever possible, EML adopted entire trees of +information in order to facilitate conversion of EML documents into +other metadata languages. EML was designed with the following +standards in mind: Dublin Core Metadata Initiative, the Content +Standard for Digital Geospatial Metadata (CSDGM from the +Federal Geographic Data Committee (FGDC)), the +Biological Profile of the CSDGM (from the National Biological +Information Infrastructure), the International Standards +Organization’s Geographic Information Standard (ISO 19115), the ISO +8601 Date and Time Standard, the OpenGIS Consortiums’s Geography +Markup Language (GML), the Scientific, Technical, and Medical Markup +Language (STMML), and the Extensible Scientific Interchange Language +(XSIL).

    • +

  • Strong Typing: EML is implemented in an Extensible Markup Language +(XML) known as XML Schema, which is +a language that defines the rules that govern the EML syntax. XML +Schema is an internet recommendation from the World Wide Web +Consortium, and so a metadata document complies +with the syntax of EML will structurally meet the +criteria defined in the XML Schema documents for EML. Over and above +the structure (what elements can be nested within others, +cardinality, etc.), XML Schema provides the ability to use strong +data typing within elements. This allows for finer validation of the +contents of the element, not just it’s structure. For instance, an +element may be of type ‘date’, and so the value that is inserted +in the field will be checked against XML Schema’s definition of a +date. Traditionally, XML documents (including previous versions of +EML) have been validated against Document Type Definitions (DTDs), +which do not provide a means to employ strong validation on field +values through typing.

    • +

  • There is a distinction between the content model (i.e. the concepts +behind the structure of a document - which fields go where, +cardinality, etc.) and the syntactic implementation of that model +(the technology used to express the concepts defined in the content +model). The normative sections below define the content model and +the XML Schema documents distributed with EML define the syntactic +implementation. For the foreseeable future, XML Schema will be the +syntactic specification, although it is reasonable to create other +syntactic representations of the vocabularly, such as in JSON-LD or RDF.

    • +
+ +
+
+ +
+
+
+ + +
+
+ + + + + + + + + + + + diff --git a/docs/dist/images/RDF_example_a.png b/docs/dist/images/RDF_example_a.png new file mode 100644 index 00000000..1eefdbc4 Binary files /dev/null and b/docs/dist/images/RDF_example_a.png differ diff --git a/docs/dist/images/RDF_example_b.png b/docs/dist/images/RDF_example_b.png new file mode 100644 index 00000000..d0220803 Binary files /dev/null and b/docs/dist/images/RDF_example_b.png differ diff --git a/docs/dist/index.html b/docs/dist/index.html new file mode 100644 index 00000000..59c3f4cb --- /dev/null +++ b/docs/dist/index.html @@ -0,0 +1,433 @@ + + + + + + + Ecological Metadata Language (EML) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ +
+ +
+
+ + +
+
+ +
+ +
+

1 EML: Ecological Metadata Language

+

Build Status +EML

+

Cite as: +Matthew B. Jones, Margaret O’Brien, Bryce Mecum, Carl Boettiger, Mark Schildhauer, Mitchell Maier, Timothy Whiteaker, Steven Chong. 2019. Ecological Metadata Language version 2.2.0. KNB Data Repository. DOI TO BE ISSUED

+

Abstract: +The Ecological Metadata Language (EML) defines a comprehensive vocabulary and a readable XML markup syntax for documenting research data. It is in widespread use in the earth and environmental sciences, and increasingly in other research disciplines as well. EML is a community-maintained specification, and evolves to meet the data documentation needs of researchers who want to openly document, preserve, and share data and outputs. EML includes modules for identifying and citing data packages, for describing the spatial, temporal, taxonomic, and thematic extent of data, for describing research methods and protocols, for describing the structure and content of data within sometimes complex packages of data, and for precisely annotating data with semantic vocabularies. EML includes metadata fields to fully detail data papers that are published in journals specializing in scientific data sharing and preservation.

+ +
+

1.1 Getting Started

+

Composing an EML document can be done in a simple text editor (e.g., Atom), +via scripting languages like R and python (e.g., the R eml package), +in general-purpose XML authoring tools (e.g., Oxygen), and in custom web-based metadata editing tools +(e.g., MetacatUI). While these tools expand and shift over time, the core metadata language +has been consistent and backwards compatible, allowing for decades of seamless +interoperability of data sets in many repositories.

+

EML documents can be started simply, and then additional detail added over time. +On the simple end, an EML document that provides basic bibliographic information +would be sufficient for citing a data set and for simple discovery in catalogs:

+ +

This document can then be supplemented with additional metadata describing research +projects and methods, structural information about the data, and much more.

+
+
+

1.2 About the EML Project

+

The EML project is an open source, community oriented project dedicated to providing a high-quality metadata specification for describing data relevant to the ecological discipline. The project is completely comprised of voluntary project members who donate their time and experience in order to advance information management for ecology. Project decisions are made by consensus according to the voting procedures described in the ecoinformatics.org Charter.

+

We welcome contributions to this work in any form. Individuals who invest substantial amounts of time and make valuable contributions to the development and maintenance of EML (in the opinion of current project members) will be invited to become EML project members according to the rules set forth in the ecoinformatics.org Charter. Contributions can take many forms, including the development of the EML schemas, writing documentation, and helping with maintenance, among others.

+
+
+

1.3 Contributing

+

Developers may be interested in browsing the source code repository that we use in developing EML. Starting with EML 2.1.1, the master branch reflects the current stable release of EML. Developmet occurs in development branches (e.g., BRANCH_EML_2_2), which allows experimental additions as they are being proposed by the community. This always contains the most recent development version of EML, and therefore may be in flux, or otherwise broken. It is unlikely that it will contain the same files that are in the current release. Development branches are virtually guaranteed to change before they are released, and so they should not be used in production environments. Use development branches at your own risk for testing. Write access to this repository is reserved for current project maintainers. Please submit contributions as pull requests. We welcome contributions to this work in any form. Contributions can take many forms, including the development of the EML schema, writing documentation, and helping with maintenance, among others. Non-project members can contribute by submitting their feedback, revisions, fixes, code, or any other contribution through pull requests at GitHub. Discussion of issues occurs on the eml-dev@ecoinformatics.org mailing list, or through the EML Issue Tracking system. The preferred way to submit problems with EML or feature requests is the issue tracking system.

+
+
+

1.4 History

+

EML was originally developed by Matthew Jones at NCEAS based on work done by the ESA Committee on the Future of Long-Term Ecological Data and on a related paper on ecological metadata by Michener et al. (see Michener, William K., et al., 1997. Ecological Applications, “Nongeospatial metadata for the ecological sciences” Vol 7(1). pp. 330-342.). Version 1.0 was released at NCEAS in 1997 and used internally, with further internal releases of versions 1.2, 1.3, and 1.4, all of which followed the FLED recommendations closely in its content implementation. Version 2 was modified substantially after experience using the specification at NCEAS and from feedback from the ecological community, particularly the Long Term Ecological Research Network. Versions 2.1 and 2.2 introduce significant new features like internationalization, semantic annotations, and support for data papers.

+
+
+

1.5 Older versions (deprecated)

+

The following versions are still available for reference purposes, although they have been superseded by the current version (2.2.0). Please make every effort to use the current version.

+ +
+ +
+

1.7 Funding and Acknowledgements

+

EML was developed and is maintained with support from the National Center for +Ecological Analysis and Synthesis (NCEAS), a Center +funded by the University of California Santa Barbara and the state of California.

+

This material is based upon work supported by the US National Science Foundation +under Grant No. DEB-9980154, DBI-9904777, 0225676, DEB-0072909, DBI-9983132, +and DEB-9634135. Any opinions, findings and conclusions or recommendations +expressed in this material are those of the author(s) and do not necessarily +reflect the views of the National Science Foundation (NSF).

+

This product includes software developed by the Apache Software +Foundation (http://www.apache.org/). See the LICENSE file in lib/apache +for details.

+

The source code, object code, and documentation in the com.oreilly.servlet +package is copyright and owned by Jason Hunter. See the cos-license.html file +for details of the license. Licensor retains title to and ownership of the +Software and all enhancements, modifications, and updates to the Software.

+

This product includes software developed by the JDOM Project +(http://www.jdom.org/). See jdom-LICENSE.txt for details.

+ +
+
+
+ +
+
+
+ + +
+
+ + + + + + + + + + + + diff --git a/docs/dist/internationalization-metadata-in-multiple-languages.html b/docs/dist/internationalization-metadata-in-multiple-languages.html new file mode 100644 index 00000000..43f8467a --- /dev/null +++ b/docs/dist/internationalization-metadata-in-multiple-languages.html @@ -0,0 +1,381 @@ + + + + + + + 11 Internationalization - Metadata in multiple languages | Ecological Metadata Language (EML) + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ +
+ +
+ +
+
+ + +
+
+ +
+
+

11 Internationalization - Metadata in multiple languages

+

EML supports internationalization using the i18nNonEmptyStringType. This allows +an element in EML to contain text in a default language, as well as optional +representations of that element in other languages.

+

Fields defined as this type include:

+
    +
  • Title
    • +
  • Keyword
    • +
  • Contact information (e.g. names, organizations, addresses)
    • +
+

TextType fields also support language translations. These fields +include:

+
    +
  • Abstract
    • +
  • Methods
    • +
  • Protocol
    • +
+

Core metadata should be provided in English. The core elements can be +augmented with translations in a native language. Detailed metadata can +be provided in the native language as declared using the xml:lang +attribute. Authors can opt to include English translations of this +detailed metadata as they see fit.

+

Example 2.1. Internationalization techniques

+

The following example metadata document is provided primarily in +Portuguese but includes English translations of core metadata fields. +The xml:lang="pt_BR" attribute at the root of the EML document +indicates that, unless otherwise specified, the content of the document +is supplied in Portuguese (Brazil). The xml:lang="en_US" attributes +on child elements denote that the content of that element is provided in +English. Core metadata (i.e. title) is provided in English, supplemented +with a Portuguese translation using the value tag with an xml:lang +attribute. Note that child elements can override the root language +declaration of the document as well as the language declaration of their +containing elements. The abstract element is primarily given in +Portuguese (as inherited from the root language declaration), with an +English translation.

+

Many EML fields are repeatable (i.e. keyword) so that multiple values +can be provided for the same concept. Translations for these fields +should be included as nested value tags to indicate that they are +equivalent concepts expressed in different languages rather than +entirely different concepts.

+ + +
+
+ +
+
+
+ + +
+
+ + + + + + + + + + + + diff --git a/docs/dist/libs/gitbook-2.6.7/css/fontawesome/fontawesome-webfont.ttf b/docs/dist/libs/gitbook-2.6.7/css/fontawesome/fontawesome-webfont.ttf new file mode 100644 index 00000000..35acda2f Binary files /dev/null and b/docs/dist/libs/gitbook-2.6.7/css/fontawesome/fontawesome-webfont.ttf differ diff --git a/docs/dist/libs/gitbook-2.6.7/css/plugin-bookdown.css b/docs/dist/libs/gitbook-2.6.7/css/plugin-bookdown.css new file mode 100644 index 00000000..8e5bb8a3 --- /dev/null +++ b/docs/dist/libs/gitbook-2.6.7/css/plugin-bookdown.css @@ -0,0 +1,99 @@ +.book .book-header h1 { + padding-left: 20px; + padding-right: 20px; +} +.book .book-header.fixed { + position: fixed; + right: 0; + top: 0; + left: 0; + border-bottom: 1px solid rgba(0,0,0,.07); +} +span.search-highlight { + background-color: #ffff88; +} +@media (min-width: 600px) { + .book.with-summary .book-header.fixed { + left: 300px; + } +} +@media (max-width: 1240px) { + .book .book-body.fixed { + top: 50px; + } + .book .book-body.fixed .body-inner { + top: auto; + } +} +@media (max-width: 600px) { + .book.with-summary .book-header.fixed { + left: calc(100% - 60px); + min-width: 300px; + } + .book.with-summary .book-body { + transform: none; + left: calc(100% - 60px); + min-width: 300px; + } + .book .book-body.fixed { + top: 0; + } +} + +.book .book-body.fixed .body-inner { + top: 50px; +} +.book .book-body .page-wrapper .page-inner section.normal sub, .book .book-body .page-wrapper .page-inner section.normal sup { + font-size: 85%; +} + +@media print { + .book .book-summary, .book .book-body .book-header, .fa { + display: none !important; + } + .book .book-body.fixed { + left: 0px; + } + .book .book-body,.book .book-body .body-inner, .book.with-summary { + overflow: visible !important; + } +} +.kable_wrapper { + border-spacing: 20px 0; + border-collapse: separate; + border: none; + margin: auto; +} +.kable_wrapper > tbody > tr > td { + vertical-align: top; +} +.book .book-body .page-wrapper .page-inner section.normal table tr.header { + border-top-width: 2px; +} +.book .book-body .page-wrapper .page-inner section.normal table tr:last-child td { + border-bottom-width: 2px; +} +.book .book-body .page-wrapper .page-inner section.normal table td, .book .book-body .page-wrapper .page-inner section.normal table th { + border-left: none; + border-right: none; +} +.book .book-body .page-wrapper .page-inner section.normal table.kable_wrapper > tbody > tr, .book .book-body .page-wrapper .page-inner section.normal table.kable_wrapper > tbody > tr > td { + border-top: none; +} +.book .book-body .page-wrapper .page-inner section.normal table.kable_wrapper > tbody > tr:last-child > td { + border-bottom: none; +} + +div.theorem, div.lemma, div.corollary, div.proposition, div.conjecture { + font-style: italic; +} +span.theorem, span.lemma, span.corollary, span.proposition, span.conjecture { + font-style: normal; +} +div.proof:after { + content: "\25a2"; + float: right; +} +.header-section-number { + padding-right: .5em; +} diff --git a/docs/dist/libs/gitbook-2.6.7/css/plugin-fontsettings.css b/docs/dist/libs/gitbook-2.6.7/css/plugin-fontsettings.css new file mode 100644 index 00000000..87236b4c --- /dev/null +++ b/docs/dist/libs/gitbook-2.6.7/css/plugin-fontsettings.css @@ -0,0 +1,292 @@ +/* + * Theme 1 + */ +.color-theme-1 .dropdown-menu { + background-color: #111111; + border-color: #7e888b; +} +.color-theme-1 .dropdown-menu .dropdown-caret .caret-inner { + border-bottom: 9px solid #111111; +} +.color-theme-1 .dropdown-menu .buttons { + border-color: #7e888b; +} +.color-theme-1 .dropdown-menu .button { + color: #afa790; +} +.color-theme-1 .dropdown-menu .button:hover { + color: #73553c; +} +/* + * Theme 2 + */ +.color-theme-2 .dropdown-menu { + background-color: #2d3143; + border-color: #272a3a; +} +.color-theme-2 .dropdown-menu .dropdown-caret .caret-inner { + border-bottom: 9px solid #2d3143; +} +.color-theme-2 .dropdown-menu .buttons { + border-color: #272a3a; +} +.color-theme-2 .dropdown-menu .button { + color: #62677f; +} +.color-theme-2 .dropdown-menu .button:hover { + color: #f4f4f5; +} +.book .book-header .font-settings .font-enlarge { + line-height: 30px; + font-size: 1.4em; +} +.book .book-header .font-settings .font-reduce { + line-height: 30px; + font-size: 1em; +} +.book.color-theme-1 .book-body { + color: #704214; + background: #f3eacb; +} +.book.color-theme-1 .book-body .page-wrapper .page-inner section { + background: #f3eacb; +} +.book.color-theme-2 .book-body { + color: #bdcadb; + background: #1c1f2b; +} +.book.color-theme-2 .book-body .page-wrapper .page-inner section { + background: #1c1f2b; +} +.book.font-size-0 .book-body .page-inner section { + font-size: 1.2rem; +} +.book.font-size-1 .book-body .page-inner section { + font-size: 1.4rem; +} +.book.font-size-2 .book-body .page-inner section { + font-size: 1.6rem; +} +.book.font-size-3 .book-body .page-inner section { + font-size: 2.2rem; +} +.book.font-size-4 .book-body .page-inner section { + font-size: 4rem; +} +.book.font-family-0 { + font-family: Georgia, serif; +} +.book.font-family-1 { + font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; +} +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal { + color: #704214; +} +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal a { + color: inherit; +} +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal h1, +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal h2, +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal h3, +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal h4, +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal h5, +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal h6 { + color: inherit; +} +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal h1, +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal h2 { + border-color: inherit; +} +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal h6 { + color: inherit; +} +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal hr { + background-color: inherit; +} +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal blockquote { + border-color: #c4b29f; + opacity: 0.9; +} +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal pre, +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal code { + background: #fdf6e3; + color: #657b83; + border-color: #f8df9c; +} +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal .highlight { + background-color: inherit; +} +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal table th, +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal table td { + border-color: #f5d06c; +} +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal table tr { + color: inherit; + background-color: #fdf6e3; + border-color: #444444; +} +.book.color-theme-1 .book-body .page-wrapper .page-inner section.normal table tr:nth-child(2n) { + background-color: #fbeecb; +} +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal { + color: #bdcadb; +} +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal a { + color: #3eb1d0; +} +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal h1, +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal h2, +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal h3, +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal h4, +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal h5, +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal h6 { + color: #fffffa; +} +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal h1, +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal h2 { + border-color: #373b4e; +} +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal h6 { + color: #373b4e; +} +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal hr { + background-color: #373b4e; +} +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal blockquote { + border-color: #373b4e; +} +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal pre, +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal code { + color: #9dbed8; + background: #2d3143; + border-color: #2d3143; +} +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal .highlight { + background-color: #282a39; +} +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal table th, +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal table td { + border-color: #3b3f54; +} +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal table tr { + color: #b6c2d2; + background-color: #2d3143; + border-color: #3b3f54; +} +.book.color-theme-2 .book-body .page-wrapper .page-inner section.normal table tr:nth-child(2n) { + background-color: #35394b; +} +.book.color-theme-1 .book-header { + color: #afa790; + background: transparent; +} +.book.color-theme-1 .book-header .btn { + color: #afa790; +} +.book.color-theme-1 .book-header .btn:hover { + color: #73553c; + background: none; +} +.book.color-theme-1 .book-header h1 { + color: #704214; +} +.book.color-theme-2 .book-header { + color: #7e888b; + background: transparent; +} +.book.color-theme-2 .book-header .btn { + color: #3b3f54; +} +.book.color-theme-2 .book-header .btn:hover { + color: #fffff5; + background: none; +} +.book.color-theme-2 .book-header h1 { + color: #bdcadb; +} +.book.color-theme-1 .book-body .navigation { + color: #afa790; +} +.book.color-theme-1 .book-body .navigation:hover { + color: #73553c; +} +.book.color-theme-2 .book-body .navigation { + color: #383f52; +} +.book.color-theme-2 .book-body .navigation:hover { + color: #fffff5; +} +/* + * Theme 1 + */ +.book.color-theme-1 .book-summary { + color: #afa790; + background: #111111; + border-right: 1px solid rgba(0, 0, 0, 0.07); +} +.book.color-theme-1 .book-summary .book-search { + background: transparent; +} +.book.color-theme-1 .book-summary .book-search input, +.book.color-theme-1 .book-summary .book-search input:focus { + border: 1px solid transparent; +} +.book.color-theme-1 .book-summary ul.summary li.divider { + background: #7e888b; + box-shadow: none; +} +.book.color-theme-1 .book-summary ul.summary li i.fa-check { + color: #33cc33; +} +.book.color-theme-1 .book-summary ul.summary li.done > a { + color: #877f6a; +} +.book.color-theme-1 .book-summary ul.summary li a, +.book.color-theme-1 .book-summary ul.summary li span { + color: #877f6a; + background: transparent; + font-weight: normal; +} +.book.color-theme-1 .book-summary ul.summary li.active > a, +.book.color-theme-1 .book-summary ul.summary li a:hover { + color: #704214; + background: transparent; + font-weight: normal; +} +/* + * Theme 2 + */ +.book.color-theme-2 .book-summary { + color: #bcc1d2; + background: #2d3143; + border-right: none; +} +.book.color-theme-2 .book-summary .book-search { + background: transparent; +} +.book.color-theme-2 .book-summary .book-search input, +.book.color-theme-2 .book-summary .book-search input:focus { + border: 1px solid transparent; +} +.book.color-theme-2 .book-summary ul.summary li.divider { + background: #272a3a; + box-shadow: none; +} +.book.color-theme-2 .book-summary ul.summary li i.fa-check { + color: #33cc33; +} +.book.color-theme-2 .book-summary ul.summary li.done > a { + color: #62687f; +} +.book.color-theme-2 .book-summary ul.summary li a, +.book.color-theme-2 .book-summary ul.summary li span { + color: #c1c6d7; + background: transparent; + font-weight: 600; +} +.book.color-theme-2 .book-summary ul.summary li.active > a, +.book.color-theme-2 .book-summary ul.summary li a:hover { + color: #f4f4f5; + background: #252737; + font-weight: 600; +} diff --git a/docs/dist/libs/gitbook-2.6.7/css/plugin-highlight.css b/docs/dist/libs/gitbook-2.6.7/css/plugin-highlight.css new file mode 100644 index 00000000..2aabd3de --- /dev/null +++ b/docs/dist/libs/gitbook-2.6.7/css/plugin-highlight.css @@ -0,0 +1,426 @@ +.book .book-body .page-wrapper .page-inner section.normal pre, +.book .book-body .page-wrapper .page-inner section.normal code { + /* http://jmblog.github.com/color-themes-for-google-code-highlightjs */ + /* Tomorrow Comment */ + /* Tomorrow Red */ + /* Tomorrow Orange */ + /* Tomorrow Yellow */ + /* Tomorrow Green */ + /* Tomorrow Aqua */ + /* Tomorrow Blue */ + /* Tomorrow Purple */ +} +.book .book-body .page-wrapper .page-inner section.normal pre .hljs-comment, +.book .book-body .page-wrapper .page-inner section.normal code .hljs-comment, +.book 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LazyWrapper(this);var result=func.apply(value,args);result.__actions__.push(action);return new LodashWrapper(result,chainAll)}return this.thru(interceptor)}});arrayEach(["join","pop","push","replace","shift","sort","splice","split","unshift"],function(methodName){var func=(/^(?:replace|split)$/.test(methodName)?stringProto:arrayProto)[methodName],chainName=/^(?:push|sort|unshift)$/.test(methodName)?"tap":"thru",retUnwrapped=/^(?:join|pop|replace|shift)$/.test(methodName);lodash.prototype[methodName]=function(){var args=arguments;if(retUnwrapped&&!this.__chain__){return func.apply(this.value(),args)}return this[chainName](function(value){return func.apply(value,args)})}});baseForOwn(LazyWrapper.prototype,function(func,methodName){var lodashFunc=lodash[methodName];if(lodashFunc){var key=lodashFunc.name,names=realNames[key]||(realNames[key]=[]);names.push({name:methodName,func:lodashFunc})}});realNames[createHybridWrapper(undefined,BIND_KEY_FLAG).name]=[{name:"wrapper",func:undefined}];LazyWrapper.prototype.clone=lazyClone;LazyWrapper.prototype.reverse=lazyReverse;LazyWrapper.prototype.value=lazyValue;lodash.prototype.chain=wrapperChain;lodash.prototype.commit=wrapperCommit;lodash.prototype.concat=wrapperConcat;lodash.prototype.plant=wrapperPlant;lodash.prototype.reverse=wrapperReverse;lodash.prototype.toString=wrapperToString;lodash.prototype.run=lodash.prototype.toJSON=lodash.prototype.valueOf=lodash.prototype.value=wrapperValue;lodash.prototype.collect=lodash.prototype.map;lodash.prototype.head=lodash.prototype.first;lodash.prototype.select=lodash.prototype.filter;lodash.prototype.tail=lodash.prototype.rest;return lodash}var _=runInContext();if(typeof define=="function"&&typeof define.amd=="object"&&define.amd){root._=_;define(function(){return _})}else if(freeExports&&freeModule){if(moduleExports){(freeModule.exports=_)._=_}else{freeExports._=_}}else{root._=_}}).call(this)}).call(this,typeof global!=="undefined"?global:typeof self!=="undefined"?self:typeof window!=="undefined"?window:{})},{}],3:[function(require,module,exports){(function(window,document,undefined){var _MAP={8:"backspace",9:"tab",13:"enter",16:"shift",17:"ctrl",18:"alt",20:"capslock",27:"esc",32:"space",33:"pageup",34:"pagedown",35:"end",36:"home",37:"left",38:"up",39:"right",40:"down",45:"ins",46:"del",91:"meta",93:"meta",224:"meta"};var _KEYCODE_MAP={106:"*",107:"+",109:"-",110:".",111:"/",186:";",187:"=",188:",",189:"-",190:".",191:"/",192:"`",219:"[",220:"\\",221:"]",222:"'"};var _SHIFT_MAP={"~":"`","!":"1","@":"2","#":"3",$:"4","%":"5","^":"6","&":"7","*":"8","(":"9",")":"0",_:"-","+":"=",":":";",'"':"'","<":",",">":".","?":"/","|":"\\"};var _SPECIAL_ALIASES={option:"alt",command:"meta",return:"enter",escape:"esc",plus:"+",mod:/Mac|iPod|iPhone|iPad/.test(navigator.platform)?"meta":"ctrl"};var _REVERSE_MAP;for(var i=1;i<20;++i){_MAP[111+i]="f"+i}for(i=0;i<=9;++i){_MAP[i+96]=i}function _addEvent(object,type,callback){if(object.addEventListener){object.addEventListener(type,callback,false);return}object.attachEvent("on"+type,callback)}function _characterFromEvent(e){if(e.type=="keypress"){var character=String.fromCharCode(e.which);if(!e.shiftKey){character=character.toLowerCase()}return character}if(_MAP[e.which]){return _MAP[e.which]}if(_KEYCODE_MAP[e.which]){return _KEYCODE_MAP[e.which]}return String.fromCharCode(e.which).toLowerCase()}function _modifiersMatch(modifiers1,modifiers2){return modifiers1.sort().join(",")===modifiers2.sort().join(",")}function _eventModifiers(e){var modifiers=[];if(e.shiftKey){modifiers.push("shift")}if(e.altKey){modifiers.push("alt")}if(e.ctrlKey){modifiers.push("ctrl")}if(e.metaKey){modifiers.push("meta")}return modifiers}function _preventDefault(e){if(e.preventDefault){e.preventDefault();return}e.returnValue=false}function _stopPropagation(e){if(e.stopPropagation){e.stopPropagation();return}e.cancelBubble=true}function _isModifier(key){return key=="shift"||key=="ctrl"||key=="alt"||key=="meta"}function _getReverseMap(){if(!_REVERSE_MAP){_REVERSE_MAP={};for(var key in _MAP){if(key>95&&key<112){continue}if(_MAP.hasOwnProperty(key)){_REVERSE_MAP[_MAP[key]]=key}}}return _REVERSE_MAP}function _pickBestAction(key,modifiers,action){if(!action){action=_getReverseMap()[key]?"keydown":"keypress"}if(action=="keypress"&&modifiers.length){action="keydown"}return action}function _keysFromString(combination){if(combination==="+"){return["+"]}combination=combination.replace(/\+{2}/g,"+plus");return combination.split("+")}function _getKeyInfo(combination,action){var keys;var key;var i;var modifiers=[];keys=_keysFromString(combination);for(i=0;i1){_bindSequence(combination,sequence,callback,action);return}info=_getKeyInfo(combination,action);self._callbacks[info.key]=self._callbacks[info.key]||[];_getMatches(info.key,info.modifiers,{type:info.action},sequenceName,combination,level);self._callbacks[info.key][sequenceName?"unshift":"push"]({callback:callback,modifiers:info.modifiers,action:info.action,seq:sequenceName,level:level,combo:combination})}self._bindMultiple=function(combinations,callback,action){for(var i=0;i-1){return false}if(_belongsTo(element,self.target)){return false}return element.tagName=="INPUT"||element.tagName=="SELECT"||element.tagName=="TEXTAREA"||element.isContentEditable};Mousetrap.prototype.handleKey=function(){var self=this;return self._handleKey.apply(self,arguments)};Mousetrap.init=function(){var documentMousetrap=Mousetrap(document);for(var method in documentMousetrap){if(method.charAt(0)!=="_"){Mousetrap[method]=function(method){return function(){return documentMousetrap[method].apply(documentMousetrap,arguments)}}(method)}}};Mousetrap.init();window.Mousetrap=Mousetrap;if(typeof module!=="undefined"&&module.exports){module.exports=Mousetrap}if(typeof define==="function"&&define.amd){define(function(){return Mousetrap})}})(window,document)},{}],4:[function(require,module,exports){(function(process){function normalizeArray(parts,allowAboveRoot){var up=0;for(var i=parts.length-1;i>=0;i--){var last=parts[i];if(last==="."){parts.splice(i,1)}else if(last===".."){parts.splice(i,1);up++}else if(up){parts.splice(i,1);up--}}if(allowAboveRoot){for(;up--;up){parts.unshift("..")}}return parts}var splitPathRe=/^(\/?|)([\s\S]*?)((?:\.{1,2}|[^\/]+?|)(\.[^.\/]*|))(?:[\/]*)$/;var splitPath=function(filename){return splitPathRe.exec(filename).slice(1)};exports.resolve=function(){var resolvedPath="",resolvedAbsolute=false;for(var i=arguments.length-1;i>=-1&&!resolvedAbsolute;i--){var path=i>=0?arguments[i]:process.cwd();if(typeof path!=="string"){throw new TypeError("Arguments to path.resolve must be strings")}else if(!path){continue}resolvedPath=path+"/"+resolvedPath;resolvedAbsolute=path.charAt(0)==="/"}resolvedPath=normalizeArray(filter(resolvedPath.split("/"),function(p){return!!p}),!resolvedAbsolute).join("/");return(resolvedAbsolute?"/":"")+resolvedPath||"."};exports.normalize=function(path){var isAbsolute=exports.isAbsolute(path),trailingSlash=substr(path,-1)==="/";path=normalizeArray(filter(path.split("/"),function(p){return!!p}),!isAbsolute).join("/");if(!path&&!isAbsolute){path="."}if(path&&trailingSlash){path+="/"}return(isAbsolute?"/":"")+path};exports.isAbsolute=function(path){return path.charAt(0)==="/"};exports.join=function(){var paths=Array.prototype.slice.call(arguments,0);return exports.normalize(filter(paths,function(p,index){if(typeof p!=="string"){throw new TypeError("Arguments to path.join must be strings")}return p}).join("/"))};exports.relative=function(from,to){from=exports.resolve(from).substr(1);to=exports.resolve(to).substr(1);function trim(arr){var start=0;for(;start=0;end--){if(arr[end]!=="")break}if(start>end)return[];return arr.slice(start,end-start+1)}var fromParts=trim(from.split("/"));var toParts=trim(to.split("/"));var length=Math.min(fromParts.length,toParts.length);var samePartsLength=length;for(var i=0;i1){for(var i=1;i= 0x80 (not a basic code point)","invalid-input":"Invalid input"},baseMinusTMin=base-tMin,floor=Math.floor,stringFromCharCode=String.fromCharCode,key;function error(type){throw RangeError(errors[type])}function map(array,fn){var length=array.length;var result=[];while(length--){result[length]=fn(array[length])}return result}function mapDomain(string,fn){var parts=string.split("@");var result="";if(parts.length>1){result=parts[0]+"@";string=parts[1]}string=string.replace(regexSeparators,".");var labels=string.split(".");var encoded=map(labels,fn).join(".");return result+encoded}function ucs2decode(string){var output=[],counter=0,length=string.length,value,extra;while(counter=55296&&value<=56319&&counter65535){value-=65536;output+=stringFromCharCode(value>>>10&1023|55296);value=56320|value&1023}output+=stringFromCharCode(value);return output}).join("")}function basicToDigit(codePoint){if(codePoint-48<10){return codePoint-22}if(codePoint-65<26){return codePoint-65}if(codePoint-97<26){return codePoint-97}return base}function digitToBasic(digit,flag){return digit+22+75*(digit<26)-((flag!=0)<<5)}function adapt(delta,numPoints,firstTime){var k=0;delta=firstTime?floor(delta/damp):delta>>1;delta+=floor(delta/numPoints);for(;delta>baseMinusTMin*tMax>>1;k+=base){delta=floor(delta/baseMinusTMin)}return floor(k+(baseMinusTMin+1)*delta/(delta+skew))}function decode(input){var output=[],inputLength=input.length,out,i=0,n=initialN,bias=initialBias,basic,j,index,oldi,w,k,digit,t,baseMinusT;basic=input.lastIndexOf(delimiter);if(basic<0){basic=0}for(j=0;j=128){error("not-basic")}output.push(input.charCodeAt(j))}for(index=basic>0?basic+1:0;index=inputLength){error("invalid-input")}digit=basicToDigit(input.charCodeAt(index++));if(digit>=base||digit>floor((maxInt-i)/w)){error("overflow")}i+=digit*w;t=k<=bias?tMin:k>=bias+tMax?tMax:k-bias;if(digitfloor(maxInt/baseMinusT)){error("overflow")}w*=baseMinusT}out=output.length+1;bias=adapt(i-oldi,out,oldi==0);if(floor(i/out)>maxInt-n){error("overflow")}n+=floor(i/out);i%=out;output.splice(i++,0,n)}return ucs2encode(output)}function encode(input){var n,delta,handledCPCount,basicLength,bias,j,m,q,k,t,currentValue,output=[],inputLength,handledCPCountPlusOne,baseMinusT,qMinusT;input=ucs2decode(input);inputLength=input.length;n=initialN;delta=0;bias=initialBias;for(j=0;j=n&¤tValuefloor((maxInt-delta)/handledCPCountPlusOne)){error("overflow")}delta+=(m-n)*handledCPCountPlusOne;n=m;for(j=0;jmaxInt){error("overflow")}if(currentValue==n){for(q=delta,k=base;;k+=base){t=k<=bias?tMin:k>=bias+tMax?tMax:k-bias;if(q0&&len>maxKeys){len=maxKeys}for(var i=0;i=0){kstr=x.substr(0,idx);vstr=x.substr(idx+1)}else{kstr=x;vstr=""}k=decodeURIComponent(kstr);v=decodeURIComponent(vstr);if(!hasOwnProperty(obj,k)){obj[k]=v}else if(isArray(obj[k])){obj[k].push(v)}else{obj[k]=[obj[k],v]}}return obj};var isArray=Array.isArray||function(xs){return Object.prototype.toString.call(xs)==="[object Array]"}},{}],8:[function(require,module,exports){"use strict";var stringifyPrimitive=function(v){switch(typeof v){case"string":return v;case"boolean":return v?"true":"false";case"number":return isFinite(v)?v:"";default:return""}};module.exports=function(obj,sep,eq,name){sep=sep||"&";eq=eq||"=";if(obj===null){obj=undefined}if(typeof obj==="object"){return map(objectKeys(obj),function(k){var ks=encodeURIComponent(stringifyPrimitive(k))+eq;if(isArray(obj[k])){return map(obj[k],function(v){return ks+encodeURIComponent(stringifyPrimitive(v))}).join(sep)}else{return ks+encodeURIComponent(stringifyPrimitive(obj[k]))}}).join(sep)}if(!name)return"";return encodeURIComponent(stringifyPrimitive(name))+eq+encodeURIComponent(stringifyPrimitive(obj))};var isArray=Array.isArray||function(xs){return Object.prototype.toString.call(xs)==="[object Array]"};function map(xs,f){if(xs.map)return xs.map(f);var res=[];for(var i=0;i",'"',"`"," ","\r","\n","\t"],unwise=["{","}","|","\\","^","`"].concat(delims),autoEscape=["'"].concat(unwise),nonHostChars=["%","/","?",";","#"].concat(autoEscape),hostEndingChars=["/","?","#"],hostnameMaxLen=255,hostnamePartPattern=/^[a-z0-9A-Z_-]{0,63}$/,hostnamePartStart=/^([a-z0-9A-Z_-]{0,63})(.*)$/,unsafeProtocol={javascript:true,"javascript:":true},hostlessProtocol={javascript:true,"javascript:":true},slashedProtocol={http:true,https:true,ftp:true,gopher:true,file:true,"http:":true,"https:":true,"ftp:":true,"gopher:":true,"file:":true},querystring=require("querystring");function urlParse(url,parseQueryString,slashesDenoteHost){if(url&&isObject(url)&&url instanceof Url)return url;var u=new Url;u.parse(url,parseQueryString,slashesDenoteHost);return u}Url.prototype.parse=function(url,parseQueryString,slashesDenoteHost){if(!isString(url)){throw new TypeError("Parameter 'url' must be a string, not "+typeof url)}var rest=url;rest=rest.trim();var proto=protocolPattern.exec(rest);if(proto){proto=proto[0];var lowerProto=proto.toLowerCase();this.protocol=lowerProto;rest=rest.substr(proto.length)}if(slashesDenoteHost||proto||rest.match(/^\/\/[^@\/]+@[^@\/]+/)){var slashes=rest.substr(0,2)==="//";if(slashes&&!(proto&&hostlessProtocol[proto])){rest=rest.substr(2);this.slashes=true}}if(!hostlessProtocol[proto]&&(slashes||proto&&!slashedProtocol[proto])){var hostEnd=-1;for(var i=0;i127){newpart+="x"}else{newpart+=part[j]}}if(!newpart.match(hostnamePartPattern)){var validParts=hostparts.slice(0,i);var notHost=hostparts.slice(i+1);var bit=part.match(hostnamePartStart);if(bit){validParts.push(bit[1]);notHost.unshift(bit[2])}if(notHost.length){rest="/"+notHost.join(".")+rest}this.hostname=validParts.join(".");break}}}}if(this.hostname.length>hostnameMaxLen){this.hostname=""}else{this.hostname=this.hostname.toLowerCase()}if(!ipv6Hostname){var domainArray=this.hostname.split(".");var newOut=[];for(var i=0;i0?result.host.split("@"):false;if(authInHost){result.auth=authInHost.shift();result.host=result.hostname=authInHost.shift()}}result.search=relative.search;result.query=relative.query;if(!isNull(result.pathname)||!isNull(result.search)){result.path=(result.pathname?result.pathname:"")+(result.search?result.search:"")}result.href=result.format();return result}if(!srcPath.length){result.pathname=null;if(result.search){result.path="/"+result.search}else{result.path=null}result.href=result.format();return result}var last=srcPath.slice(-1)[0];var hasTrailingSlash=(result.host||relative.host)&&(last==="."||last==="..")||last==="";var up=0;for(var i=srcPath.length;i>=0;i--){last=srcPath[i];if(last=="."){srcPath.splice(i,1)}else if(last===".."){srcPath.splice(i,1);up++}else if(up){srcPath.splice(i,1);up--}}if(!mustEndAbs&&!removeAllDots){for(;up--;up){srcPath.unshift("..")}}if(mustEndAbs&&srcPath[0]!==""&&(!srcPath[0]||srcPath[0].charAt(0)!=="/")){srcPath.unshift("")}if(hasTrailingSlash&&srcPath.join("/").substr(-1)!=="/"){srcPath.push("")}var isAbsolute=srcPath[0]===""||srcPath[0]&&srcPath[0].charAt(0)==="/";if(psychotic){result.hostname=result.host=isAbsolute?"":srcPath.length?srcPath.shift():"";var authInHost=result.host&&result.host.indexOf("@")>0?result.host.split("@"):false;if(authInHost){result.auth=authInHost.shift();result.host=result.hostname=authInHost.shift()}}mustEndAbs=mustEndAbs||result.host&&srcPath.length;if(mustEndAbs&&!isAbsolute){srcPath.unshift("")}if(!srcPath.length){result.pathname=null;result.path=null}else{result.pathname=srcPath.join("/")}if(!isNull(result.pathname)||!isNull(result.search)){result.path=(result.pathname?result.pathname:"")+(result.search?result.search:"")}result.auth=relative.auth||result.auth;result.slashes=result.slashes||relative.slashes;result.href=result.format();return result};Url.prototype.parseHost=function(){var host=this.host;var port=portPattern.exec(host);if(port){port=port[0];if(port!==":"){this.port=port.substr(1)}host=host.substr(0,host.length-port.length)}if(host)this.hostname=host};function isString(arg){return typeof arg==="string"}function isObject(arg){return typeof arg==="object"&&arg!==null}function isNull(arg){return arg===null}function isNullOrUndefined(arg){return arg==null}},{punycode:6,querystring:9}],11:[function(require,module,exports){var $=require("jquery");function toggleDropdown(e){var $dropdown=$(e.currentTarget).parent().find(".dropdown-menu");$dropdown.toggleClass("open");e.stopPropagation();e.preventDefault()}function closeDropdown(e){$(".dropdown-menu").removeClass("open")}function init(){$(document).on("click",".toggle-dropdown",toggleDropdown);$(document).on("click",".dropdown-menu",function(e){e.stopPropagation()});$(document).on("click",closeDropdown)}module.exports={init:init}},{jquery:1}],12:[function(require,module,exports){var $=require("jquery");module.exports=$({})},{jquery:1}],13:[function(require,module,exports){var $=require("jquery");var _=require("lodash");var storage=require("./storage");var dropdown=require("./dropdown");var events=require("./events");var state=require("./state");var keyboard=require("./keyboard");var navigation=require("./navigation");var sidebar=require("./sidebar");var toolbar=require("./toolbar");function start(config){sidebar.init();keyboard.init();dropdown.init();navigation.init();toolbar.createButton({index:0,icon:"fa fa-align-justify",label:"Toggle Sidebar",onClick:function(e){e.preventDefault();sidebar.toggle()}});events.trigger("start",config);navigation.notify()}var gitbook={start:start,events:events,state:state,toolbar:toolbar,sidebar:sidebar,storage:storage,keyboard:keyboard};var MODULES={gitbook:gitbook,jquery:$,lodash:_};window.gitbook=gitbook;window.$=$;window.jQuery=$;gitbook.require=function(mods,fn){mods=_.map(mods,function(mod){mod=mod.toLowerCase();if(!MODULES[mod]){throw new Error("GitBook module "+mod+" doesn't exist")}return MODULES[mod]});fn.apply(null,mods)};module.exports={}},{"./dropdown":11,"./events":12,"./keyboard":14,"./navigation":16,"./sidebar":18,"./state":19,"./storage":20,"./toolbar":21,jquery:1,lodash:2}],14:[function(require,module,exports){var Mousetrap=require("mousetrap");var navigation=require("./navigation");var sidebar=require("./sidebar");function bindShortcut(keys,fn){Mousetrap.bind(keys,function(e){fn();return false})}function init(){bindShortcut(["right"],function(e){navigation.goNext()});bindShortcut(["left"],function(e){navigation.goPrev()});bindShortcut(["s"],function(e){sidebar.toggle()})}module.exports={init:init,bind:bindShortcut}},{"./navigation":16,"./sidebar":18,mousetrap:3}],15:[function(require,module,exports){var state=require("./state");function showLoading(p){state.$book.addClass("is-loading");p.always(function(){state.$book.removeClass("is-loading")});return p}module.exports={show:showLoading}},{"./state":19}],16:[function(require,module,exports){var $=require("jquery");var url=require("url");var events=require("./events");var state=require("./state");var loading=require("./loading");var usePushState=typeof history.pushState!=="undefined";function handleNavigation(relativeUrl,push){var uri=url.resolve(window.location.pathname,relativeUrl);notifyPageChange();location.href=relativeUrl;return}function updateNavigationPosition(){var bodyInnerWidth,pageWrapperWidth;bodyInnerWidth=parseInt($(".body-inner").css("width"),10);pageWrapperWidth=parseInt($(".page-wrapper").css("width"),10);$(".navigation-next").css("margin-right",bodyInnerWidth-pageWrapperWidth+"px")}function notifyPageChange(){events.trigger("page.change")}function preparePage(notify){var $bookBody=$(".book-body");var $bookInner=$bookBody.find(".body-inner");var $pageWrapper=$bookInner.find(".page-wrapper");updateNavigationPosition();$bookInner.scrollTop(0);$bookBody.scrollTop(0);if(notify!==false)notifyPageChange()}function isLeftClickEvent(e){return e.button===0}function isModifiedEvent(e){return!!(e.metaKey||e.altKey||e.ctrlKey||e.shiftKey)}function handlePagination(e){if(isModifiedEvent(e)||!isLeftClickEvent(e)){return}e.stopPropagation();e.preventDefault();var url=$(this).attr("href");if(url)handleNavigation(url,true)}function goNext(){var url=$(".navigation-next").attr("href");if(url)handleNavigation(url,true)}function goPrev(){var url=$(".navigation-prev").attr("href");if(url)handleNavigation(url,true)}function init(){$.ajaxSetup({});if(location.protocol!=="file:"){history.replaceState({path:window.location.href},"")}window.onpopstate=function(event){if(event.state===null){return}return handleNavigation(event.state.path,false)};$(document).on("click",".navigation-prev",handlePagination);$(document).on("click",".navigation-next",handlePagination);$(document).on("click",".summary [data-path] a",handlePagination);$(window).resize(updateNavigationPosition);preparePage(false)}module.exports={init:init,goNext:goNext,goPrev:goPrev,notify:notifyPageChange}},{"./events":12,"./loading":15,"./state":19,jquery:1,url:10}],17:[function(require,module,exports){module.exports={isMobile:function(){return document.body.clientWidth<=600}}},{}],18:[function(require,module,exports){var $=require("jquery");var _=require("lodash");var storage=require("./storage");var platform=require("./platform");var state=require("./state");function toggleSidebar(_state,animation){if(state!=null&&isOpen()==_state)return;if(animation==null)animation=true;state.$book.toggleClass("without-animation",!animation);state.$book.toggleClass("with-summary",_state);storage.set("sidebar",isOpen())}function isOpen(){return state.$book.hasClass("with-summary")}function init(){if(platform.isMobile()){toggleSidebar(false,false)}else{toggleSidebar(storage.get("sidebar",true),false)}$(document).on("click",".book-summary li.chapter a",function(e){if(platform.isMobile())toggleSidebar(false,false)})}function filterSummary(paths){var $summary=$(".book-summary");$summary.find("li").each(function(){var path=$(this).data("path");var st=paths==null||_.contains(paths,path);$(this).toggle(st);if(st)$(this).parents("li").show()})}module.exports={init:init,isOpen:isOpen,toggle:toggleSidebar,filter:filterSummary}},{"./platform":17,"./state":19,"./storage":20,jquery:1,lodash:2}],19:[function(require,module,exports){var $=require("jquery");var url=require("url");var path=require("path");var state={};state.update=function(dom){var $book=$(dom.find(".book"));state.$book=$book;state.level=$book.data("level");state.basePath=$book.data("basepath");state.innerLanguage=$book.data("innerlanguage");state.revision=$book.data("revision");state.filepath=$book.data("filepath");state.chapterTitle=$book.data("chapter-title");state.root=url.resolve(location.protocol+"//"+location.host,path.dirname(path.resolve(location.pathname.replace(/\/$/,"/index.html"),state.basePath))).replace(/\/?$/,"/");state.bookRoot=state.innerLanguage?url.resolve(state.root,".."):state.root};state.update($);module.exports=state},{jquery:1,path:4,url:10}],20:[function(require,module,exports){var baseKey="";module.exports={setBaseKey:function(key){baseKey=key},set:function(key,value){key=baseKey+":"+key;try{sessionStorage[key]=JSON.stringify(value)}catch(e){}},get:function(key,def){key=baseKey+":"+key;if(sessionStorage[key]===undefined)return def;try{var v=JSON.parse(sessionStorage[key]);return v==null?def:v}catch(err){return sessionStorage[key]||def}},remove:function(key){key=baseKey+":"+key;sessionStorage.removeItem(key)}}},{}],21:[function(require,module,exports){var $=require("jquery");var _=require("lodash");var events=require("./events");var buttons=[];function insertAt(parent,selector,index,element){var lastIndex=parent.children(selector).size();if(index<0){index=Math.max(0,lastIndex+1+index)}parent.append(element);if(index",{class:"dropdown-menu",html:'
'});if(_.isString(dropdown)){$menu.append(dropdown)}else{var groups=_.map(dropdown,function(group){if(_.isArray(group))return group;else return[group]});_.each(groups,function(group){var $group=$("
",{class:"buttons"});var sizeClass="size-"+group.length;_.each(group,function(btn){btn=_.defaults(btn||{},{text:"",className:"",onClick:defaultOnClick});var $btn=$("