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- StepByStepGuide: minor corrections

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DHParser/stringview.py
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......@@ -208,9 +208,9 @@ class StringView(collections.abc.Sized):
def match(self, regex, flags=0):
"""Executes `regex.match` on the StringView object and returns the
result, which is either a match-object or None.
WARNING: match.end(), match.span() etc. are mapped to the underlying text,
not the StringView-object!!!
result, which is either a match-object or None. Keep in mind that
match.end(), match.span() etc. are mapped to the underlying text,
not the StringView-object!!!
"""
return regex.match(self.text, pos=self.begin, endpos=self.end)
......@@ -236,17 +236,16 @@ class StringView(collections.abc.Sized):
def search(self, regex):
"""Executes regex.search on the StringView object and returns the
result, which is either a match-object or None.
WARNING: match.end(), match.span() etc. are mapped to the underlying text,
not the StringView-object!!!
result, which is either a match-object or None. Keep in mind that
match.end(), match.span() etc. are mapped to the underlying text,
not the StringView-object!!!
"""
return regex.search(self.text, pos=self.begin, endpos=self.end)
def finditer(self, regex):
"""Executes regex.finditer on the StringView object and returns the
iterator of match objects.
WARNING: match.end(), match.span() etc. are mapped to the underlying text,
not the StringView-object!!!
iterator of match objects. Keep in mind that match.end(), match.span()
etc. are mapped to the underlying text, not the StringView-object!!!
"""
return regex.finditer(self.text, pos=self.begin, endpos=self.end)
......
DHParser/transform.py
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......@@ -920,4 +920,3 @@ def forbid(context: List[Node], child_tags: AbstractSet[str]):
if child.tag_name in child_tags:
context[0].new_error(node, 'Element "%s" cannot be nested inside "%s".' %
(child.parser.name, node.parser.name))
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<p class="caption"><span class="caption-text">Contents:</span></p>
<ul class="current">
<li class="toctree-l1"><a class="reference internal" href="StepByStepGuide.html">DHParser’s Step by Step Guide</a></li>
<li class="toctree-l1"><a class="reference internal" href="UserGuide.html">DHParser User’s Guide</a></li>
<li class="toctree-l1 current"><a class="current reference internal" href="#">DHParser Reference Manual</a><ul>
<li class="toctree-l2"><a class="reference internal" href="#fundamentals">Fundamentals</a></li>
<li class="toctree-l2"><a class="reference internal" href="#compiler-creation-workflow">Compiler Creation Workflow</a></li>
<li class="toctree-l2"><a class="reference internal" href="#component-guide">Component Guide</a><ul>
<li class="toctree-l3"><a class="reference internal" href="#parser">Parser</a></li>
<li class="toctree-l3"><a class="reference internal" href="#ast-transformation">AST-Transformation</a></li>
<li class="toctree-l3"><a class="reference internal" href="#compiler">Compiler</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="#module-structure-of-dhparser">Module Structure of DHParser</a></li>
<li class="toctree-l2"><a class="reference internal" href="#class-hierarchy-of-dhparser">Class Hierarchy of DHParser</a></li>
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<div class="section" id="dhparser-reference-manual">
<h1>DHParser Reference Manual<a class="headerlink" href="#dhparser-reference-manual" title="Permalink to this headline"></a></h1>
<p>This reference manual explains the technology used by DHParser. It is
intended for people who would like to extend or contribute to
DHParser. The reference manual does not explain how a Domain Specific
Language (DSL) is developed (see the User’s Manual for that). It it
explains the technical approach that DHParser employs for parsing,
abstract syntax tree transformation and compilation of a given
DSL. And it describes the module and class structure of the DHParser
Software. The programming guide requires a working knowledge of Python
programming and a basic understanding or common parser technology from
the reader. Also, it is recommended to read the introduction and the
user’s guide first.</p>
<div class="section" id="fundamentals">
<h2>Fundamentals<a class="headerlink" href="#fundamentals" title="Permalink to this headline"></a></h2>
<p>DHParser is a parser generator aimed at but not restricted to the
creation of domain specific languages in the Digital Humanities (DH),
hence the name “DHParser”. In the Digital Humanities, DSLs allow to
enter annotated texts or data in a human friendly and readable form
with a Text-Editor. In contrast to the prevailing XML-approach, the
DSL-approach distinguishes between a human-friendly <em>editing data
format</em> and a maschine friendly <em>working data format</em> which can be XML
but does not need to be. Therefore, the DSL-approach requires an
additional step to reach the <em>working data format</em>, that is, the
compilation of the annotated text or data written in the DSL (editing
data format) to the working data format. In the following a text or
data file wirtten in a DSL will simply be called <em>document</em>. The
editing data format will also be called <em>source format</em> and the
working data format be denoted as <em>target format</em>.</p>
<p>Compiling a document specified in a domain specific language involves the following steps:</p>
<ol class="arabic simple">
<li><strong>Parsing</strong> the document which results in a representation of the document as a concrete
syntax tree.</li>
<li><strong>Transforming</strong> the concrete syntax tree (CST) into an abstract syntax tree (AST), i.e. a
streamlined and simplified syntax tree ready for compilation.</li>
<li><strong>Compiling</strong> the abstract syntax tree into the working data format.</li>
</ol>
<p>All of these steps a carried out be the computer without any user intervention, i.e. without the
need of humans to rewrite or enrich the data during any these steps. A DSL-compiler therefore
consists of three components which are applied in sequence, a <em>parser</em>, a <em>transformer</em> and a
<em>compiler</em>. Creating, i.e. programming these components is the task of compiler construction.
The creation of all of these components is supported by DHParser, albeit to a different degree:</p>
<ol class="arabic simple">
<li><em>Creating a parser</em>: DHParser fully automizes parser generation. Once the syntax of the DSL
is formally specified, it can be compiled into a python class that is able to parse any
document written in the DSL. DHParser uses Parsing-Expression-Grammars in a variant of the
Extended-Backus-Naur-Form (EBNF) for the specification of the syntax. (See
<cite>examples/EBNF/EBNF.ebnf</cite> for an example.)</li>
<li><em>Specifying the AST-transformations</em>: DHParser supports the AST-transformation with a
depth-first tree traversal algorithm (see <cite>DHParser.transform.traverse</cite> ) and a number of
stock transformation functions which can also be combined. Most of the AST-transformation is
specified in a declarative manner by filling in a transformation-dictionary which associates
the node-types of the concrete syntax tree with such combinations of transformations. See
<cite>DHParser.ebnf.EBNF_AST_transformation_table</cite> as an example.</li>
<li><em>Filling in the compiler class skeleton</em>: Compiler generation cannot be automated like parser
generation. It is supported by DHParser merely by generating a skeleton of a compiler class
with a method-stub for each definition (or “production” as the definition are sometimes also
called) of the EBNF-specification. (See <cite>examples/EBNF/EBNFCompiler.py</cite>) If the target format
is XML, there is a chance that the XML can simply be generated by serializing the abstract
syntax tree as XML without the need of a dedicated compilation step.</li>
</ol>
</div>
<div class="section" id="compiler-creation-workflow">
<h2>Compiler Creation Workflow<a class="headerlink" href="#compiler-creation-workflow" title="Permalink to this headline"></a></h2>
<p>TODO: Describe:
- setting up a new projekt
- invoking the DSL Compiler
- conventions and data types
- the flat namespace of DH Parser</p>
</div>
<div class="section" id="component-guide">
<h2>Component Guide<a class="headerlink" href="#component-guide" title="Permalink to this headline"></a></h2>
<div class="section" id="parser">
<h3>Parser<a class="headerlink" href="#parser" title="Permalink to this headline"></a></h3>
<p>Parser-creation if supported by DHParser by an EBNF to Python compiler which yields a working
python class that parses any document the EBNF-specified DSL to a tree of Node-objects, which
are instances of the <cite>class Node</cite> defined in <cite>DHParser/snytaxtree.py</cite></p>
<p>The EBNF to Python compiler is actually a DSL-compiler that has been crafted with DHParser
itself. It is located in <cite>DHParser/enbf.py</cite>. The formal specification of the EBNF variant
used by DHParser can be found in <cite>examples/EBNF/EBNF.ebnf</cite>. Comparing the automatically
generated <cite>examples/EBNF/EBNFCompiler.py</cite> with <cite>DHParser/ebnf.py</cite> can give you an idea what
additional work is needed to create a DSL-compiler from an autogenerated DSL-parser. In most
DH-projects this task will be less complex, however, as the target format is XML which
usually can be derived from the abstract syntax tree with fewer steps than the Python code in
the case of DHParser’s EBNF to Python compiler.</p>
</div>
<div class="section" id="ast-transformation">
<h3>AST-Transformation<a class="headerlink" href="#ast-transformation" title="Permalink to this headline"></a></h3>
<p>Other than for the compiler generation (see the next point below), a functional rather than
object-oriented approach has been employed, because it allows for a more concise
specification of the AST-transformation since typically the same combination of
transformations can be used for several node types of the AST. It would therefore be tedious
to fill in a method for each of these. In a sense, the specification of AST-transformation
constitutes an “internal DSL” realized with the means of the Python language itself.</p>
</div>
<div class="section" id="compiler">
<h3>Compiler<a class="headerlink" href="#compiler" title="Permalink to this headline"></a></h3>
</div>
</div>
<div class="section" id="module-structure-of-dhparser">
<h2>Module Structure of DHParser<a class="headerlink" href="#module-structure-of-dhparser" title="Permalink to this headline"></a></h2>
</div>
<div class="section" id="class-hierarchy-of-dhparser">
<h2>Class Hierarchy of DHParser<a class="headerlink" href="#class-hierarchy-of-dhparser" title="Permalink to this headline"></a></h2>
</div>
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<div class="section" id="dhparser-user-s-guide">
<h1>DHParser User’s Guide<a class="headerlink" href="#dhparser-user-s-guide" title="Permalink to this headline"></a></h1>
<p>This user’s guide explains how to use create, test and employ a domain
specific language with DHParser for encoding text or data in a Digital
Humanities Project.</p>
<div class="section" id="introduction">
<h2>Introduction<a class="headerlink" href="#introduction" title="Permalink to this headline"></a></h2>
<p>Most Digital Humanities projects or least most text-centered DH projects
involve in some way or other the entering and encoding of annotated text or
data into a computer. And the systems that scientists use for that purpose
consist of an input surface (or “redactation system”) for entering the data, a
storage system to keep the data and a presentation system for providing the
data and possibly also functionality for working with the data to human or
machine receipients. A typical example of this type of system is Berlin’
Ediarum-System, which consists of an XML-Editor for entering data, an
XML-Database for storing the data and a web application for providing the data
to human readers or other web services via an application programming
interface (API). Ediarum is also typical, because like many DH-projects it
assumes an XML-based workflow.</p>
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