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Posted to commits@arrow.apache.org by we...@apache.org on 2017/04/23 22:21:42 UTC
[02/30] arrow-site git commit: Add Python documentation snapshot
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/679f060e/docs/python/genindex.html
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diff --git a/docs/python/genindex.html b/docs/python/genindex.html
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+
+
+
+<!DOCTYPE html>
+<!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
+<!--[if gt IE 8]><!--> <html class="no-js" lang="en" > <!--<![endif]-->
+<head>
+ <meta charset="utf-8">
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+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
+
+ <title>Index — pyarrow documentation</title>
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+ <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
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+ <link rel="index" title="Index"
+ href="#"/>
+ <link rel="search" title="Search" href="search.html"/>
+ <link rel="top" title="pyarrow documentation" href="index.html"/>
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+ <script src="_static/js/modernizr.min.js"></script>
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+</head>
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+<body class="wy-body-for-nav" role="document">
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+ <div class="wy-side-scroll">
+ <div class="wy-side-nav-search">
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+ <a href="index.html" class="icon icon-home"> pyarrow
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+ </a>
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+<div role="search">
+ <form id="rtd-search-form" class="wy-form" action="search.html" method="get">
+ <input type="text" name="q" placeholder="Search docs" />
+ <input type="hidden" name="check_keywords" value="yes" />
+ <input type="hidden" name="area" value="default" />
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+ <div class="wy-menu wy-menu-vertical" data-spy="affix" role="navigation" aria-label="main navigation">
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+
+
+ <p class="caption"><span class="caption-text">Getting Started</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install PyArrow</a></li>
+<li class="toctree-l1"><a class="reference internal" href="pandas.html">Pandas Interface</a></li>
+<li class="toctree-l1"><a class="reference internal" href="filesystems.html">File interfaces and Memory Maps</a></li>
+<li class="toctree-l1"><a class="reference internal" href="parquet.html">Reading/Writing Parquet files</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API Reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="getting_involved.html">Getting Involved</a></li>
+</ul>
+<p class="caption"><span class="caption-text">Additional Features</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="jemalloc.html">jemalloc MemoryPool</a></li>
+</ul>
+
+
+
+ </div>
+ </div>
+ </nav>
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+ <section data-toggle="wy-nav-shift" class="wy-nav-content-wrap">
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+ <nav class="wy-nav-top" role="navigation" aria-label="top navigation">
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+ <a href="index.html">pyarrow</a>
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+ </nav>
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+ <div class="wy-nav-content">
+ <div class="rst-content">
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+ <hr/>
+</div>
+ <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+ <div itemprop="articleBody">
+
+
+<h1 id="index">Index</h1>
+
+<div class="genindex-jumpbox">
+ <a href="#_"><strong>_</strong></a>
+ | <a href="#A"><strong>A</strong></a>
+ | <a href="#B"><strong>B</strong></a>
+ | <a href="#C"><strong>C</strong></a>
+ | <a href="#D"><strong>D</strong></a>
+ | <a href="#F"><strong>F</strong></a>
+ | <a href="#G"><strong>G</strong></a>
+ | <a href="#I"><strong>I</strong></a>
+ | <a href="#J"><strong>J</strong></a>
+ | <a href="#L"><strong>L</strong></a>
+ | <a href="#M"><strong>M</strong></a>
+ | <a href="#N"><strong>N</strong></a>
+ | <a href="#P"><strong>P</strong></a>
+ | <a href="#R"><strong>R</strong></a>
+ | <a href="#S"><strong>S</strong></a>
+ | <a href="#T"><strong>T</strong></a>
+ | <a href="#U"><strong>U</strong></a>
+ | <a href="#W"><strong>W</strong></a>
+
+</div>
+<h2 id="_">_</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.Array.html#pyarrow.Array.__init__">__init__() (pyarrow.Array method)</a>
+
+ <ul>
+ <li><a href="generated/pyarrow.ArrayValue.html#pyarrow.ArrayValue.__init__">(pyarrow.ArrayValue method)</a>
+</li>
+ <li><a href="generated/pyarrow.BinaryArray.html#pyarrow.BinaryArray.__init__">(pyarrow.BinaryArray method)</a>
+</li>
+ <li><a href="generated/pyarrow.BinaryValue.html#pyarrow.BinaryValue.__init__">(pyarrow.BinaryValue method)</a>
+</li>
+ <li><a href="generated/pyarrow.BooleanArray.html#pyarrow.BooleanArray.__init__">(pyarrow.BooleanArray method)</a>
+</li>
+ <li><a href="generated/pyarrow.BooleanValue.html#pyarrow.BooleanValue.__init__">(pyarrow.BooleanValue method)</a>
+</li>
+ <li><a href="generated/pyarrow.Buffer.html#pyarrow.Buffer.__init__">(pyarrow.Buffer method)</a>
+</li>
+ <li><a href="generated/pyarrow.BufferReader.html#pyarrow.BufferReader.__init__">(pyarrow.BufferReader method)</a>
+</li>
+ <li><a href="generated/pyarrow.ChunkedArray.html#pyarrow.ChunkedArray.__init__">(pyarrow.ChunkedArray method)</a>
+</li>
+ <li><a href="generated/pyarrow.Column.html#pyarrow.Column.__init__">(pyarrow.Column method)</a>
+</li>
+ <li><a href="generated/pyarrow.DataType.html#pyarrow.DataType.__init__">(pyarrow.DataType method)</a>
+</li>
+ <li><a href="generated/pyarrow.Date32Array.html#pyarrow.Date32Array.__init__">(pyarrow.Date32Array method)</a>
+</li>
+ <li><a href="generated/pyarrow.Date32Value.html#pyarrow.Date32Value.__init__">(pyarrow.Date32Value method)</a>
+</li>
+ <li><a href="generated/pyarrow.Date64Array.html#pyarrow.Date64Array.__init__">(pyarrow.Date64Array method)</a>
+</li>
+ <li><a href="generated/pyarrow.Date64Value.html#pyarrow.Date64Value.__init__">(pyarrow.Date64Value method)</a>
+</li>
+ <li><a href="generated/pyarrow.DecimalArray.html#pyarrow.DecimalArray.__init__">(pyarrow.DecimalArray method)</a>
+</li>
+ <li><a href="generated/pyarrow.DecimalType.html#pyarrow.DecimalType.__init__">(pyarrow.DecimalType method)</a>
+</li>
+ <li><a href="generated/pyarrow.DecimalValue.html#pyarrow.DecimalValue.__init__">(pyarrow.DecimalValue method)</a>
+</li>
+ <li><a href="generated/pyarrow.DictionaryArray.html#pyarrow.DictionaryArray.__init__">(pyarrow.DictionaryArray method)</a>
+</li>
+ <li><a href="generated/pyarrow.DictionaryType.html#pyarrow.DictionaryType.__init__">(pyarrow.DictionaryType method)</a>
+</li>
+ <li><a href="generated/pyarrow.DoubleValue.html#pyarrow.DoubleValue.__init__">(pyarrow.DoubleValue method)</a>
+</li>
+ <li><a href="generated/pyarrow.Field.html#pyarrow.Field.__init__">(pyarrow.Field method)</a>
+</li>
+ <li><a href="generated/pyarrow.FileReader.html#pyarrow.FileReader.__init__">(pyarrow.FileReader method)</a>
+</li>
+ <li><a href="generated/pyarrow.FileWriter.html#pyarrow.FileWriter.__init__">(pyarrow.FileWriter method)</a>
+</li>
+ <li><a href="generated/pyarrow.FixedSizeBinaryArray.html#pyarrow.FixedSizeBinaryArray.__init__">(pyarrow.FixedSizeBinaryArray method)</a>
+</li>
+ <li><a href="generated/pyarrow.FixedSizeBinaryType.html#pyarrow.FixedSizeBinaryType.__init__">(pyarrow.FixedSizeBinaryType method)</a>
+</li>
+ <li><a href="generated/pyarrow.FixedSizeBinaryValue.html#pyarrow.FixedSizeBinaryValue.__init__">(pyarrow.FixedSizeBinaryValue method)</a>
+</li>
+ <li><a href="generated/pyarrow.FloatValue.html#pyarrow.FloatValue.__init__">(pyarrow.FloatValue method)</a>
+</li>
+ <li><a href="generated/pyarrow.FloatingPointArray.html#pyarrow.FloatingPointArray.__init__">(pyarrow.FloatingPointArray method)</a>
+</li>
+ <li><a href="generated/pyarrow.InMemoryOutputStream.html#pyarrow.InMemoryOutputStream.__init__">(pyarrow.InMemoryOutputStream method)</a>
+</li>
+ <li><a href="generated/pyarrow.Int16Array.html#pyarrow.Int16Array.__init__">(pyarrow.Int16Array method)</a>
+</li>
+ <li><a href="generated/pyarrow.Int16Value.html#pyarrow.Int16Value.__init__">(pyarrow.Int16Value method)</a>
+</li>
+ <li><a href="generated/pyarrow.Int32Array.html#pyarrow.Int32Array.__init__">(pyarrow.Int32Array method)</a>
+</li>
+ <li><a href="generated/pyarrow.Int32Value.html#pyarrow.Int32Value.__init__">(pyarrow.Int32Value method)</a>
+</li>
+ <li><a href="generated/pyarrow.Int64Array.html#pyarrow.Int64Array.__init__">(pyarrow.Int64Array method)</a>
+</li>
+ <li><a href="generated/pyarrow.Int64Value.html#pyarrow.Int64Value.__init__">(pyarrow.Int64Value method)</a>
+</li>
+ <li><a href="generated/pyarrow.Int8Array.html#pyarrow.Int8Array.__init__">(pyarrow.Int8Array method)</a>
+</li>
+ <li><a href="generated/pyarrow.Int8Value.html#pyarrow.Int8Value.__init__">(pyarrow.Int8Value method)</a>
+</li>
+ <li><a href="generated/pyarrow.IntegerArray.html#pyarrow.IntegerArray.__init__">(pyarrow.IntegerArray method)</a>
+</li>
+ <li><a href="generated/pyarrow.ListArray.html#pyarrow.ListArray.__init__">(pyarrow.ListArray method)</a>
+</li>
+ <li><a href="generated/pyarrow.ListValue.html#pyarrow.ListValue.__init__">(pyarrow.ListValue method)</a>
+</li>
+ <li><a href="generated/pyarrow.MemoryMappedFile.html#pyarrow.MemoryMappedFile.__init__">(pyarrow.MemoryMappedFile method)</a>
+</li>
+ <li><a href="generated/pyarrow.MemoryPool.html#pyarrow.MemoryPool.__init__">(pyarrow.MemoryPool method)</a>
+</li>
+ <li><a href="generated/pyarrow.NAType.html#pyarrow.NAType.__init__">(pyarrow.NAType method)</a>
+</li>
+ <li><a href="generated/pyarrow.NativeFile.html#pyarrow.NativeFile.__init__">(pyarrow.NativeFile method)</a>
+</li>
+ <li><a href="generated/pyarrow.NullArray.html#pyarrow.NullArray.__init__">(pyarrow.NullArray method)</a>
+</li>
+ <li><a href="generated/pyarrow.NumericArray.html#pyarrow.NumericArray.__init__">(pyarrow.NumericArray method)</a>
+</li>
+ <li><a href="generated/pyarrow.PythonFile.html#pyarrow.PythonFile.__init__">(pyarrow.PythonFile method)</a>
+</li>
+ <li><a href="generated/pyarrow.RecordBatch.html#pyarrow.RecordBatch.__init__">(pyarrow.RecordBatch method)</a>
+</li>
+ <li><a href="generated/pyarrow.Scalar.html#pyarrow.Scalar.__init__">(pyarrow.Scalar method)</a>
+</li>
+ <li><a href="generated/pyarrow.Schema.html#pyarrow.Schema.__init__">(pyarrow.Schema method)</a>
+</li>
+ <li><a href="generated/pyarrow.StreamReader.html#pyarrow.StreamReader.__init__">(pyarrow.StreamReader method)</a>
+</li>
+ <li><a href="generated/pyarrow.StreamWriter.html#pyarrow.StreamWriter.__init__">(pyarrow.StreamWriter method)</a>
+</li>
+ <li><a href="generated/pyarrow.StringArray.html#pyarrow.StringArray.__init__">(pyarrow.StringArray method)</a>
+</li>
+ <li><a href="generated/pyarrow.StringValue.html#pyarrow.StringValue.__init__">(pyarrow.StringValue method)</a>
+</li>
+ <li><a href="generated/pyarrow.Table.html#pyarrow.Table.__init__">(pyarrow.Table method)</a>
+</li>
+ <li><a href="generated/pyarrow.Tensor.html#pyarrow.Tensor.__init__">(pyarrow.Tensor method)</a>
+</li>
+ <li><a href="generated/pyarrow.Time32Array.html#pyarrow.Time32Array.__init__">(pyarrow.Time32Array method)</a>
+</li>
+ <li><a href="generated/pyarrow.Time32Type.html#pyarrow.Time32Type.__init__">(pyarrow.Time32Type method)</a>
+</li>
+ <li><a href="generated/pyarrow.Time64Array.html#pyarrow.Time64Array.__init__">(pyarrow.Time64Array method)</a>
+</li>
+ <li><a href="generated/pyarrow.Time64Type.html#pyarrow.Time64Type.__init__">(pyarrow.Time64Type method)</a>
+</li>
+ <li><a href="generated/pyarrow.TimestampArray.html#pyarrow.TimestampArray.__init__">(pyarrow.TimestampArray method)</a>
+</li>
+ <li><a href="generated/pyarrow.TimestampType.html#pyarrow.TimestampType.__init__">(pyarrow.TimestampType method)</a>
+</li>
+ <li><a href="generated/pyarrow.TimestampValue.html#pyarrow.TimestampValue.__init__">(pyarrow.TimestampValue method)</a>
+</li>
+ <li><a href="generated/pyarrow.UInt16Array.html#pyarrow.UInt16Array.__init__">(pyarrow.UInt16Array method)</a>
+</li>
+ <li><a href="generated/pyarrow.UInt16Value.html#pyarrow.UInt16Value.__init__">(pyarrow.UInt16Value method)</a>
+</li>
+ <li><a href="generated/pyarrow.UInt32Array.html#pyarrow.UInt32Array.__init__">(pyarrow.UInt32Array method)</a>
+</li>
+ <li><a href="generated/pyarrow.UInt32Value.html#pyarrow.UInt32Value.__init__">(pyarrow.UInt32Value method)</a>
+</li>
+ <li><a href="generated/pyarrow.UInt64Array.html#pyarrow.UInt64Array.__init__">(pyarrow.UInt64Array method)</a>
+</li>
+ <li><a href="generated/pyarrow.UInt64Value.html#pyarrow.UInt64Value.__init__">(pyarrow.UInt64Value method)</a>
+</li>
+ <li><a href="generated/pyarrow.UInt8Array.html#pyarrow.UInt8Array.__init__">(pyarrow.UInt8Array method)</a>
+</li>
+ <li><a href="generated/pyarrow.UInt8Value.html#pyarrow.UInt8Value.__init__">(pyarrow.UInt8Value method)</a>
+</li>
+ <li><a href="generated/pyarrow.parquet.ParquetDataset.html#pyarrow.parquet.ParquetDataset.__init__">(pyarrow.parquet.ParquetDataset method)</a>
+</li>
+ <li><a href="generated/pyarrow.parquet.ParquetFile.html#pyarrow.parquet.ParquetFile.__init__">(pyarrow.parquet.ParquetFile method)</a>
+</li>
+ </ul></li>
+ </ul></td>
+</tr></table>
+
+<h2 id="A">A</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.Array.html#pyarrow.Array">Array (class in pyarrow)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.array.html#pyarrow.array">array() (in module pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.ArrayValue.html#pyarrow.ArrayValue">ArrayValue (class in pyarrow)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="B">B</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.binary.html#pyarrow.binary">binary() (in module pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.BinaryArray.html#pyarrow.BinaryArray">BinaryArray (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.BinaryValue.html#pyarrow.BinaryValue">BinaryValue (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.bool_.html#pyarrow.bool_">bool_() (in module pyarrow)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.BooleanArray.html#pyarrow.BooleanArray">BooleanArray (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.BooleanValue.html#pyarrow.BooleanValue">BooleanValue (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.Buffer.html#pyarrow.Buffer">Buffer (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.BufferReader.html#pyarrow.BufferReader">BufferReader (class in pyarrow)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="C">C</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.ChunkedArray.html#pyarrow.ChunkedArray">ChunkedArray (class in pyarrow)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.Column.html#pyarrow.Column">Column (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.create_memory_map.html#pyarrow.create_memory_map">create_memory_map() (in module pyarrow)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="D">D</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.DataType.html#pyarrow.DataType">DataType (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.date32.html#pyarrow.date32">date32() (in module pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.Date32Array.html#pyarrow.Date32Array">Date32Array (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.Date32Value.html#pyarrow.Date32Value">Date32Value (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.date64.html#pyarrow.date64">date64() (in module pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.Date64Array.html#pyarrow.Date64Array">Date64Array (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.Date64Value.html#pyarrow.Date64Value">Date64Value (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.decimal.html#pyarrow.decimal">decimal() (in module pyarrow)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.DecimalArray.html#pyarrow.DecimalArray">DecimalArray (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.DecimalType.html#pyarrow.DecimalType">DecimalType (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.DecimalValue.html#pyarrow.DecimalValue">DecimalValue (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.default_memory_pool.html#pyarrow.default_memory_pool">default_memory_pool() (in module pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.dictionary.html#pyarrow.dictionary">dictionary() (in module pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.DictionaryArray.html#pyarrow.DictionaryArray">DictionaryArray (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.DictionaryType.html#pyarrow.DictionaryType">DictionaryType (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.DoubleValue.html#pyarrow.DoubleValue">DoubleValue (class in pyarrow)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="F">F</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.Field.html#pyarrow.Field">Field (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.field.html#pyarrow.field">field() (in module pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.FileReader.html#pyarrow.FileReader">FileReader (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.FileWriter.html#pyarrow.FileWriter">FileWriter (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.FixedSizeBinaryArray.html#pyarrow.FixedSizeBinaryArray">FixedSizeBinaryArray (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.FixedSizeBinaryType.html#pyarrow.FixedSizeBinaryType">FixedSizeBinaryType (class in pyarrow)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.FixedSizeBinaryValue.html#pyarrow.FixedSizeBinaryValue">FixedSizeBinaryValue (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.float16.html#pyarrow.float16">float16() (in module pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.float32.html#pyarrow.float32">float32() (in module pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.float64.html#pyarrow.float64">float64() (in module pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.FloatingPointArray.html#pyarrow.FloatingPointArray">FloatingPointArray (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.FloatValue.html#pyarrow.FloatValue">FloatValue (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.from_numpy_dtype.html#pyarrow.from_numpy_dtype">from_numpy_dtype() (in module pyarrow)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="G">G</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.get_record_batch_size.html#pyarrow.get_record_batch_size">get_record_batch_size() (in module pyarrow)</a>
+</li>
+ </ul></td>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.get_tensor_size.html#pyarrow.get_tensor_size">get_tensor_size() (in module pyarrow)</a>
+</li>
+ </ul></td>
+</tr></table>
+
+<h2 id="I">I</h2>
+<table style="width: 100%" class="indextable genindextable"><tr>
+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.InMemoryOutputStream.html#pyarrow.InMemoryOutputStream">InMemoryOutputStream (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.int16.html#pyarrow.int16">int16() (in module pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.Int16Array.html#pyarrow.Int16Array">Int16Array (class in pyarrow)</a>
+</li>
+ <li><a href="generated/pyarrow.Int16Value.html#pyarrow.Int16Value">Int16Value (class in pyarrow)</a>
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+ </ul></td>
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+ <li><a href="generated/pyarrow.UInt8Array.html#pyarrow.UInt8Array">UInt8Array (class in pyarrow)</a>
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+</li>
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+ <td style="width: 33%; vertical-align: top;"><ul>
+ <li><a href="generated/pyarrow.parquet.write_metadata.html#pyarrow.parquet.write_metadata">write_metadata() (in module pyarrow.parquet)</a>
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+ <li><a href="generated/pyarrow.parquet.write_table.html#pyarrow.parquet.write_table">write_table() (in module pyarrow.parquet)</a>
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http://git-wip-us.apache.org/repos/asf/arrow-site/blob/679f060e/docs/python/getting_involved.html
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diff --git a/docs/python/getting_involved.html b/docs/python/getting_involved.html
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+<ul class="current">
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+<li class="toctree-l1"><a class="reference internal" href="pandas.html">Pandas Interface</a></li>
+<li class="toctree-l1"><a class="reference internal" href="filesystems.html">File interfaces and Memory Maps</a></li>
+<li class="toctree-l1"><a class="reference internal" href="parquet.html">Reading/Writing Parquet files</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API Reference</a></li>
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Getting Involved</a></li>
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+ <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+ <div itemprop="articleBody">
+
+ <div class="section" id="getting-involved">
+<h1>Getting Involved<a class="headerlink" href="#getting-involved" title="Permalink to this headline">�</a></h1>
+<p>Right now the primary audience for Apache Arrow are the developers of data
+systems; most people will use Apache Arrow indirectly through systems that use
+it for internal data handling and interoperating with other Arrow-enabled
+systems.</p>
+<p>Even if you do not plan to contribute to Apache Arrow itself or Arrow
+integrations in other projects, we’d be happy to have you involved:</p>
+<blockquote>
+<div><ul class="simple">
+<li>Join the mailing list: send an email to
+<a class="reference external" href="mailto:dev-subscribe%40arrow.apache.org">dev-subscribe<span>@</span>arrow<span>.</span>apache<span>.</span>org</a>.
+Share your ideas and use cases for the project or read through the
+<a class="reference external" href="http://mail-archives.apache.org/mod_mbox/arrow-dev/">Archive</a>.</li>
+<li>Follow our activity on <a class="reference external" href="https://issues.apache.org/jira/browse/ARROW">JIRA</a></li>
+<li>Learn the <a class="reference external" href="https://github.com/apache/arrow/tree/master/format">Format / Specification</a></li>
+<li>Chat with us on <a class="reference external" href="https://apachearrowslackin.herokuapp.com/">Slack</a></li>
+</ul>
+</div></blockquote>
+</div>
+
+
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+
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+ Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a <a href="https://github.com/snide/sphinx_rtd_theme">theme</a> provided by <a href="https://readthedocs.org">Read the Docs</a>.
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http://git-wip-us.apache.org/repos/asf/arrow-site/blob/679f060e/docs/python/index.html
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diff --git a/docs/python/index.html b/docs/python/index.html
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+++ b/docs/python/index.html
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+ <p class="caption"><span class="caption-text">Getting Started</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install PyArrow</a></li>
+<li class="toctree-l1"><a class="reference internal" href="pandas.html">Pandas Interface</a></li>
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+</ul>
+<p class="caption"><span class="caption-text">Additional Features</span></p>
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+<li class="toctree-l1"><a class="reference internal" href="jemalloc.html">jemalloc MemoryPool</a></li>
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+ <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+ <div itemprop="articleBody">
+
+ <div class="section" id="apache-arrow-python">
+<h1>Apache Arrow (Python)<a class="headerlink" href="#apache-arrow-python" title="Permalink to this headline">�</a></h1>
+<p>Arrow is a columnar in-memory analytics layer designed to accelerate big data.
+It houses a set of canonical in-memory representations of flat and hierarchical
+data along with multiple language-bindings for structure manipulation. It also
+provides IPC and common algorithm implementations.</p>
+<p>This is the documentation of the Python API of Apache Arrow. For more details
+on the format and other language bindings see
+<a class="reference external" href="https://arrow.apache.org/">the main page for Arrow</a>. Here will we only
+detail the usage of the Python API for Arrow and the leaf libraries that add
+additional functionality such as reading Apache Parquet files into Arrow
+structures.</p>
+<div class="toctree-wrapper compound">
+<p class="caption"><span class="caption-text">Getting Started</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="install.html">Install PyArrow</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="install.html#conda">Conda</a></li>
+<li class="toctree-l2"><a class="reference internal" href="install.html#pip">Pip</a></li>
+<li class="toctree-l2"><a class="reference internal" href="install.html#building-from-source">Building from source</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="pandas.html">Pandas Interface</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="pandas.html#dataframes">DataFrames</a></li>
+<li class="toctree-l2"><a class="reference internal" href="pandas.html#series">Series</a></li>
+<li class="toctree-l2"><a class="reference internal" href="pandas.html#type-differences">Type differences</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="filesystems.html">File interfaces and Memory Maps</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="filesystems.html#hadoop-file-system-hdfs">Hadoop File System (HDFS)</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="parquet.html">Reading/Writing Parquet files</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="parquet.html#reading-parquet">Reading Parquet</a></li>
+<li class="toctree-l2"><a class="reference internal" href="parquet.html#writing-parquet">Writing Parquet</a></li>
+</ul>
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+<li class="toctree-l1"><a class="reference internal" href="api.html">API Reference</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="api.html#type-and-schema-factory-functions">Type and Schema Factory Functions</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api.html#scalar-value-types">Scalar Value Types</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api.html#array-types-and-constructors">Array Types and Constructors</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api.html#tables-and-record-batches">Tables and Record Batches</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api.html#tensor-type-and-functions">Tensor type and Functions</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api.html#input-output-and-shared-memory">Input / Output and Shared Memory</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api.html#interprocess-communication-and-messaging">Interprocess Communication and Messaging</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api.html#memory-pools">Memory Pools</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api.html#type-classes">Type Classes</a></li>
+<li class="toctree-l2"><a class="reference internal" href="api.html#apache-parquet">Apache Parquet</a></li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="getting_involved.html">Getting Involved</a></li>
+</ul>
+</div>
+<div class="toctree-wrapper compound">
+<p class="caption"><span class="caption-text">Additional Features</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="jemalloc.html">jemalloc MemoryPool</a></li>
+</ul>
+</div>
+</div>
+
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+<ul class="current">
+<li class="toctree-l1 current"><a class="current reference internal" href="#">Install PyArrow</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="#conda">Conda</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#pip">Pip</a></li>
+<li class="toctree-l2"><a class="reference internal" href="#building-from-source">Building from source</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="#system-requirements">System requirements</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#python-requirements">Python requirements</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#installing-arrow-c-library">Installing Arrow C++ library</a></li>
+<li class="toctree-l3"><a class="reference internal" href="#id1">Install <cite>pyarrow</cite></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li class="toctree-l1"><a class="reference internal" href="pandas.html">Pandas Interface</a></li>
+<li class="toctree-l1"><a class="reference internal" href="filesystems.html">File interfaces and Memory Maps</a></li>
+<li class="toctree-l1"><a class="reference internal" href="parquet.html">Reading/Writing Parquet files</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">API Reference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="getting_involved.html">Getting Involved</a></li>
+</ul>
+<p class="caption"><span class="caption-text">Additional Features</span></p>
+<ul>
+<li class="toctree-l1"><a class="reference internal" href="jemalloc.html">jemalloc MemoryPool</a></li>
+</ul>
+
+
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+ <div role="main" class="document" itemscope="itemscope" itemtype="http://schema.org/Article">
+ <div itemprop="articleBody">
+
+ <div class="section" id="install-pyarrow">
+<h1>Install PyArrow<a class="headerlink" href="#install-pyarrow" title="Permalink to this headline">�</a></h1>
+<div class="section" id="conda">
+<h2>Conda<a class="headerlink" href="#conda" title="Permalink to this headline">�</a></h2>
+<p>To install the latest version of PyArrow from conda-forge using conda:</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>conda install -c conda-forge pyarrow
+</pre></div>
+</div>
+</div>
+<div class="section" id="pip">
+<h2>Pip<a class="headerlink" href="#pip" title="Permalink to this headline">�</a></h2>
+<p>Install the latest version from PyPI:</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>pip install pyarrow
+</pre></div>
+</div>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p class="last">Currently there are only binary artifcats available for Linux and MacOS.
+Otherwise this will only pull the python sources and assumes an existing
+installation of the C++ part of Arrow.
+To retrieve the binary artifacts, you’ll need a recent <code class="docutils literal"><span class="pre">pip</span></code> version that
+supports features like the <code class="docutils literal"><span class="pre">manylinux1</span></code> tag.</p>
+</div>
+</div>
+<div class="section" id="building-from-source">
+<h2>Building from source<a class="headerlink" href="#building-from-source" title="Permalink to this headline">�</a></h2>
+<p>First, clone the master git repository:</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>git clone https://github.com/apache/arrow.git arrow
+</pre></div>
+</div>
+<div class="section" id="system-requirements">
+<h3>System requirements<a class="headerlink" href="#system-requirements" title="Permalink to this headline">�</a></h3>
+<p>Building pyarrow requires:</p>
+<ul class="simple">
+<li>A C++11 compiler<ul>
+<li>Linux: gcc >= 4.8 or clang >= 3.5</li>
+<li>OS X: XCode 6.4 or higher preferred</li>
+</ul>
+</li>
+<li><a class="reference external" href="https://cmake.org/">CMake</a></li>
+</ul>
+</div>
+<div class="section" id="python-requirements">
+<h3>Python requirements<a class="headerlink" href="#python-requirements" title="Permalink to this headline">�</a></h3>
+<p>You will need Python (CPython) 2.7, 3.4, or 3.5 installed. Earlier releases and
+are not being targeted.</p>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p class="last">This library targets CPython only due to an emphasis on interoperability with
+pandas and NumPy, which are only available for CPython.</p>
+</div>
+<p>The build requires NumPy, Cython, and a few other Python dependencies:</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span>pip install cython
+<span class="nb">cd</span> arrow/python
+pip install -r requirements.txt
+</pre></div>
+</div>
+</div>
+<div class="section" id="installing-arrow-c-library">
+<h3>Installing Arrow C++ library<a class="headerlink" href="#installing-arrow-c-library" title="Permalink to this headline">�</a></h3>
+<p>First, you should choose an installation location for Arrow C++. In the future
+using the default system install location will work, but for now we are being
+explicit:</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="nb">export</span> <span class="nv">ARROW_HOME</span><span class="o">=</span>$HOME/local
+</pre></div>
+</div>
+<p>Now, we build Arrow:</p>
+<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="nb">cd</span> arrow/cpp
+
+mkdir dev-build
+<span class="nb">cd</span> dev-build
+
+cmake -DCMAKE_INSTALL_PREFIX<span class="o">=</span><span class="nv">$A</span>RROW_HOME ..
+
+make
+
+<span class="c1"># Use sudo here if $ARROW_HOME requires it</span>
+make install
+</pre></div>
+</div>
+<p>To get the optional Parquet support, you should also build and install
+<a class="reference external" href="https://github.com/apache/parquet-cpp/blob/master/README.md">parquet-cpp</a>.</p>
+</div>
+<div class="section" id="id1">
+<h3>Install <cite>pyarrow</cite><a class="headerlink" href="#id1" title="Permalink to this headline">�</a></h3>
+<div class="highlight-bash"><div class="highlight"><pre><span></span><span class="nb">cd</span> arrow/python
+
+<span class="c1"># --with-parquet enables the Apache Parquet support in PyArrow</span>
+<span class="c1"># --with-jemalloc enables the jemalloc allocator support in PyArrow</span>
+<span class="c1"># --build-type=release disables debugging information and turns on</span>
+<span class="c1"># compiler optimizations for native code</span>
+python setup.py build_ext --with-parquet --with-jemalloc --build-type<span class="o">=</span>release install
+python setup.py install
+</pre></div>
+</div>
+<div class="admonition warning">
+<p class="first admonition-title">Warning</p>
+<p class="last">On XCode 6 and prior there are some known OS X <cite>@rpath</cite> issues. If you are
+unable to import pyarrow, upgrading XCode may be the solution.</p>
+</div>
+<div class="admonition note">
+<p class="first admonition-title">Note</p>
+<p class="last">In development installations, you will also need to set a correct
+<code class="docutils literal"><span class="pre">LD_LIBRARY_PATH</span></code>. This is most probably done with
+<code class="docutils literal"><span class="pre">export</span> <span class="pre">LD_LIBRARY_PATH=$ARROW_HOME/lib:$LD_LIBRARY_PATH</span></code>.</p>
+</div>
+<div class="highlight-python"><div class="highlight"><pre><span></span><span class="n">In</span> <span class="p">[</span><span class="mi">1</span><span class="p">]:</span> <span class="kn">import</span> <span class="nn">pyarrow</span>
+
+<span class="n">In</span> <span class="p">[</span><span class="mi">2</span><span class="p">]:</span> <span class="n">pyarrow</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">])</span>
+<span class="n">Out</span><span class="p">[</span><span class="mi">2</span><span class="p">]:</span>
+<span class="o"><</span><span class="n">pyarrow</span><span class="o">.</span><span class="n">array</span><span class="o">.</span><span class="n">Int64Array</span> <span class="nb">object</span> <span class="n">at</span> <span class="mh">0x7f899f3e60e8</span><span class="o">></span>
+<span class="p">[</span>
+ <span class="mi">1</span><span class="p">,</span>
+ <span class="mi">2</span><span class="p">,</span>
+ <span class="mi">3</span>
+<span class="p">]</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+
+
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+
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+
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+
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+<li class="toctree-l1 current"><a class="current reference internal" href="#">jemalloc MemoryPool</a></li>
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+ <div class="section" id="jemalloc-memorypool">
+<h1>jemalloc MemoryPool<a class="headerlink" href="#jemalloc-memorypool" title="Permalink to this headline">�</a></h1>
+<p>Arrow’s default <code class="xref py py-class docutils literal"><span class="pre">MemoryPool</span></code> uses the system’s allocator
+through the POSIX APIs. Although this already provides aligned allocation, the
+POSIX interface doesn’t support aligned reallocation. The default reallocation
+strategy is to allocate a new region, copy over the old data and free the
+previous region. Using <a class="reference external" href="http://jemalloc.net/">jemalloc</a> we can simply extend
+the existing memory allocation to the requested size. While this may still be
+linear in the size of allocated memory, it is magnitudes faster as only the page
+mapping in the kernel is touched, not the actual data.</p>
+<p>The <code class="xref py py-mod docutils literal"><span class="pre">jemalloc</span></code> allocator is not enabled by default to allow the
+use of the system allocator and/or other allocators like <code class="docutils literal"><span class="pre">tcmalloc</span></code>. You can
+either explicitly make it the default allocator or pass it only to single
+operations.</p>
+<div class="code python highlight-default"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
+
+<span class="n">jemalloc_pool</span> <span class="o">=</span> <span class="n">pyarrow</span><span class="o">.</span><span class="n">jemalloc_memory_pool</span><span class="p">()</span>
+
+<span class="c1"># Explicitly use jemalloc for allocating memory for an Arrow Table object</span>
+<span class="n">array</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_pylist</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">],</span> <span class="n">memory_pool</span><span class="o">=</span><span class="n">jemalloc_pool</span><span class="p">)</span>
+
+<span class="c1"># Set the global pool</span>
+<span class="n">pyarrow</span><span class="o">.</span><span class="n">set_memory_pool</span><span class="p">(</span><span class="n">jemalloc_pool</span><span class="p">)</span>
+<span class="c1"># This operation has no explicit MemoryPool specified and will thus will</span>
+<span class="c1"># also use jemalloc for its allocations.</span>
+<span class="n">array</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_pylist</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">])</span>
+</pre></div>
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