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annotate planemo/lib/python3.7/site-packages/schema_salad-4.5.20191229160203.dist-info/METADATA @ 1:56ad4e20f292 draft

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"planemo upload commit 6eee67778febed82ddd413c3ca40b3183a3898f1"
author guerler
date Fri, 31 Jul 2020 00:32:28 -0400
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1
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1 Metadata-Version: 2.1
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2 Name: schema-salad
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3 Version: 4.5.20191229160203
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4 Summary: Schema Annotations for Linked Avro Data (SALAD)
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5 Home-page: https://github.com/common-workflow-language/schema_salad
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6 Author: Common workflow language working group
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7 Author-email: common-workflow-language@googlegroups.com
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8 License: Apache 2.0
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9 Download-URL: https://github.com/common-workflow-language/schema_salad/releases
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10 Platform: UNKNOWN
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11 Classifier: Environment :: Console
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12 Classifier: Intended Audience :: Science/Research
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13 Classifier: License :: OSI Approved :: Apache Software License
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14 Classifier: Operating System :: POSIX
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15 Classifier: Operating System :: MacOS :: MacOS X
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16 Classifier: Operating System :: Microsoft :: Windows
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17 Classifier: Development Status :: 5 - Production/Stable
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18 Classifier: Programming Language :: Python :: 2.7
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19 Classifier: Programming Language :: Python :: 3.5
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20 Classifier: Programming Language :: Python :: 3.6
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21 Classifier: Programming Language :: Python :: 3.7
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22 Classifier: Programming Language :: Python :: 3.8
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23 Classifier: Typing :: Typed
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24 Description-Content-Type: text/x-rst
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25 Requires-Dist: setuptools
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26 Requires-Dist: requests (>=1.0)
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27 Requires-Dist: ruamel.yaml (<=0.16,>=0.12.4)
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28 Requires-Dist: rdflib (<4.3.0,>=4.2.2)
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29 Requires-Dist: rdflib-jsonld (<0.5.0,>=0.3.0)
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30 Requires-Dist: mistune (<0.9,>=0.8.1)
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31 Requires-Dist: CacheControl (<0.12,>=0.11.7)
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32 Requires-Dist: lockfile (>=0.9)
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33 Requires-Dist: six (>=1.8.0)
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34 Requires-Dist: typing-extensions
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35 Requires-Dist: future
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36 Requires-Dist: typing (>=3.7.4) ; python_version<"3.5"
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37 Provides-Extra: docs
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38 Requires-Dist: sphinx (>=2.2) ; extra == 'docs'
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39 Requires-Dist: sphinx-rtd-theme ; extra == 'docs'
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40 Requires-Dist: pytest ; extra == 'docs'
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41
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42 |Linux Build Status| |Windows Build status| |Code coverage| |CII Best Practices|
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43
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44 .. |Linux Build Status| image:: https://img.shields.io/travis/common-workflow-language/schema_salad/master.svg?label=unix%20build
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45 :target: https://travis-ci.org/common-workflow-language/schema_salad
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46 .. |Windows Build status| image:: https://img.shields.io/appveyor/ci/mr-c/schema-salad/master.svg?label=windows%20build
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47 :target: https://ci.appveyor.com/project/mr-c/schema-salad/branch/master
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48 .. |Code coverage| image:: https://codecov.io/gh/common-workflow-language/schema_salad/branch/master/graph/badge.svg
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49 :target: https://codecov.io/gh/common-workflow-language/schema_salad
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50 .. |CII Best Practices| image:: https://bestpractices.coreinfrastructure.org/projects/1867/badge
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51 :target: https://bestpractices.coreinfrastructure.org/projects/1867
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52
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53 Schema Salad
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54 ------------
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55
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56 Salad is a schema language for describing JSON or YAML structured
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57 linked data documents. Salad schema describes rules for
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58 preprocessing, structural validation, and hyperlink checking for
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59 documents described by a Salad schema. Salad supports rich data
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60 modeling with inheritance, template specialization, object
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61 identifiers, object references, documentation generation, code
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62 generation, and transformation to RDF_. Salad provides a bridge
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63 between document and record oriented data modeling and the Semantic
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64 Web.
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65
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66 Usage
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67 -----
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68
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69 ::
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70
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71 $ pip install schema_salad
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72
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73 To install from source::
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74
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75 git clone https://github.com/common-workflow-language/schema_salad
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76 cd schema_salad
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77 python setup.py install
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78
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79 Commands
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80 --------
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81
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82 Schema salad can be used as a command line tool or imported as a Python module::
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83
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84 $ schema-salad-tool
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85 usage: schema-salad-tool [-h] [--rdf-serializer RDF_SERIALIZER]
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86 [--print-jsonld-context | --print-rdfs | --print-avro
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87 | --print-rdf | --print-pre | --print-index
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88 | --print-metadata | --print-inheritance-dot
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89 | --print-fieldrefs-dot | --codegen language
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90 | --print-oneline]
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91 [--strict | --non-strict] [--verbose | --quiet
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92 | --debug]
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93 [--version]
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94 [schema] [document]
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95
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96 $ python
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97 >>> import schema_salad
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98
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99 Validate a schema::
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100
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101 $ schema-salad-tool myschema.yml
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102
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103 Validate a document using a schema::
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104
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105 $ schema-salad-tool myschema.yml mydocument.yml
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106
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107 Generate HTML documentation::
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108
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109 $ schema-salad-tool myschema.yml > myschema.html
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110
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111 Get JSON-LD context::
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112
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113 $ schema-salad-tool --print-jsonld-context myschema.yml mydocument.yml
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114
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115 Convert a document to JSON-LD::
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116
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117 $ schema-salad-tool --print-pre myschema.yml mydocument.yml > mydocument.jsonld
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118
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119 Generate Python classes for loading/generating documents described by the schema::
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120
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121 $ schema-salad-tool --codegen=python myschema.yml > myschema.py
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122
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123 Display inheritance relationship between classes as a graphviz 'dot' file and
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124 render as SVG::
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125
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126 $ schema-salad-tool --print-inheritance-dot myschema.yml | dot -Tsvg > myschema.svg
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127
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128
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129 Quick Start
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130 -----------
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131
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132 Let's say you have a 'basket' record that can contain items measured either by
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133 weight or by count. Here's an example::
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134
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135 basket:
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136 - product: bananas
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137 price: 0.39
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138 per: pound
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139 weight: 1
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140 - product: cucumbers
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141 price: 0.79
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142 per: item
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143 count: 3
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144
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145 We want to validate that all the expected fields are present, the
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146 measurement is known, and that "count" cannot be a fractional value.
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147 Here is an example schema to do that::
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148
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149 - name: Product
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150 doc: |
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151 The base type for a product. This is an abstract type, so it
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152 can't be used directly, but can be used to define other types.
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153 type: record
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154 abstract: true
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155 fields:
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156 product: string
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157 price: float
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158
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159 - name: ByWeight
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160 doc: |
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161 A product, sold by weight. Products may be sold by pound or by
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162 kilogram. Weights may be fractional.
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163 type: record
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164 extends: Product
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165 fields:
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166 per:
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167 type:
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168 type: enum
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169 symbols:
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170 - pound
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171 - kilogram
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172 jsonldPredicate: '#per'
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173 weight: float
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174
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175 - name: ByCount
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176 doc: |
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177 A product, sold by count. The count must be a integer value.
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178 type: record
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179 extends: Product
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180 fields:
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181 per:
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182 type:
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183 type: enum
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184 symbols:
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185 - item
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186 jsonldPredicate: '#per'
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187 count: int
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188
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189 - name: Basket
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190 doc: |
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191 A basket of products. The 'documentRoot' field indicates it is a
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192 valid starting point for a document. The 'basket' field will
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193 validate subtypes of 'Product' (ByWeight and ByCount).
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194 type: record
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195 documentRoot: true
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196 fields:
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197 basket:
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198 type:
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199 type: array
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200 items: Product
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201
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202 You can check the schema and document in schema_salad/tests/basket_schema.yml
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203 and schema_salad/tests/basket.yml::
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204
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205 $ schema-salad-tool basket_schema.yml basket.yml
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206 Document `basket.yml` is valid
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207
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208
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209 Documentation
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210 -------------
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211
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212 See the specification_ and the metaschema_ (salad schema for itself). For an
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213 example application of Schema Salad see the Common Workflow Language_.
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214
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215
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216 Rationale
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217 ---------
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218
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219 The JSON data model is an popular way to represent structured data. It is
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220 attractive because of it's relative simplicity and is a natural fit with the
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221 standard types of many programming languages. However, this simplicity comes
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222 at the cost that basic JSON lacks expressive features useful for working with
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223 complex data structures and document formats, such as schemas, object
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224 references, and namespaces.
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225
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226 JSON-LD is a W3C standard providing a way to describe how to interpret a JSON
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227 document as Linked Data by means of a "context". JSON-LD provides a powerful
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228 solution for representing object references and namespaces in JSON based on
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229 standard web URIs, but is not itself a schema language. Without a schema
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230 providing a well defined structure, it is difficult to process an arbitrary
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231 JSON-LD document as idiomatic JSON because there are many ways to express the
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232 same data that are logically equivalent but structurally distinct.
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233
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234 Several schema languages exist for describing and validating JSON data, such as
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235 JSON Schema and Apache Avro data serialization system, however none
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236 understand linked data. As a result, to fully take advantage of JSON-LD to
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237 build the next generation of linked data applications, one must maintain
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238 separate JSON schema, JSON-LD context, RDF schema, and human documentation,
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239 despite significant overlap of content and obvious need for these documents to
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240 stay synchronized.
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241
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242 Schema Salad is designed to address this gap. It provides a schema language
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243 and processing rules for describing structured JSON content permitting URI
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244 resolution and strict document validation. The schema language supports linked
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245 data through annotations that describe the linked data interpretation of the
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246 content, enables generation of JSON-LD context and RDF schema, and production
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247 of RDF triples by applying the JSON-LD context. The schema language also
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248 provides for robust support of inline documentation.
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249
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250 .. _JSON-LD: http://json-ld.org
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251 .. _Avro: http://avro.apache.org
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252 .. _metaschema: https://github.com/common-workflow-language/schema_salad/blob/master/schema_salad/metaschema/metaschema.yml
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253 .. _specification: http://www.commonwl.org/v1.0/SchemaSalad.html
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254 .. _Language: https://github.com/common-workflow-language/common-workflow-language/blob/master/v1.0/CommandLineTool.yml
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255 .. _RDF: https://www.w3.org/RDF/
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