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./usr/share/doc/python-scipy-doc/html/generated/scipy.cluster.hierarchy.ClusterNode.pre_order.html
    
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107 ··<div·class="section"·id="scipy-cluster-hierarchy-clusternode-pre-order">107 ··<div·class="section"·id="scipy-cluster-hierarchy-clusternode-pre-order">
108 <h1>scipy.cluster.hierarchy.ClusterNode.pre_order<a·class="headerlink"·href="#scipy-cluster-hierarchy-clusternode-pre-order"·title="Permalink·to·this·headline">¶</a></h1>108 <h1>scipy.cluster.hierarchy.ClusterNode.pre_order<a·class="headerlink"·href="#scipy-cluster-hierarchy-clusternode-pre-order"·title="Permalink·to·this·headline">¶</a></h1>
109 <dl·class="py·method">109 <dl·class="py·method">
110 <dt·id="scipy.cluster.hierarchy.ClusterNode.pre_order">110 <dt·id="scipy.cluster.hierarchy.ClusterNode.pre_order">
111 <code·class="sig-prename·descclassname">ClusterNode.</code><code·class="sig-name·descname">pre_order</code><span·class="sig-paren">(</span><em·class="sig-param">self</em>,·<em·class="sig-param">func=&lt;function·ClusterNode.&lt;lambda&gt;·at·0x7f0e23cf5e50&gt;</em><span·class="sig-paren">)</span><a·class="reference·external"·href="https://github.com/scipy/scipy/blob/v1.6.0/scipy/cluster/hierarchy.py#L1222-L1282"><span·class="viewcode-link">[source]</span></a><a·class="headerlink"·href="#scipy.cluster.hierarchy.ClusterNode.pre_order"·title="Permalink·to·this·definition">¶</a></dt>111 <code·class="sig-prename·descclassname">ClusterNode.</code><code·class="sig-name·descname">pre_order</code><span·class="sig-paren">(</span><em·class="sig-param">self</em>,·<em·class="sig-param">func=&lt;function·ClusterNode.&lt;lambda&gt;·at·0x7f611becce50&gt;</em><span·class="sig-paren">)</span><a·class="reference·external"·href="https://github.com/scipy/scipy/blob/v1.6.0/scipy/cluster/hierarchy.py#L1222-L1282"><span·class="viewcode-link">[source]</span></a><a·class="headerlink"·href="#scipy.cluster.hierarchy.ClusterNode.pre_order"·title="Permalink·to·this·definition">¶</a></dt>
112 <dd><p>Perform·pre-order·traversal·without·recursive·function·calls.</p>112 <dd><p>Perform·pre-order·traversal·without·recursive·function·calls.</p>
113 <p>When·a·leaf·node·is·first·encountered,·<code·class="docutils·literal·notranslate"><span·class="pre">func</span></code>·is·called·with113 <p>When·a·leaf·node·is·first·encountered,·<code·class="docutils·literal·notranslate"><span·class="pre">func</span></code>·is·called·with
114 the·leaf·node·as·its·argument,·and·its·result·is·appended·to114 the·leaf·node·as·its·argument,·and·its·result·is·appended·to
115 the·list.</p>115 the·list.</p>
116 <p>For·example,·the·statement:</p>116 <p>For·example,·the·statement:</p>
117 <div·class="highlight-default·notranslate"><div·class="highlight"><pre><span></span><span·class="n">ids</span>·<span·class="o">=</span>·<span·class="n">root</span><span·class="o">.</span><span·class="n">pre_order</span><span·class="p">(</span><span·class="k">lambda</span>·<span·class="n">x</span><span·class="p">:</span>·<span·class="n">x</span><span·class="o">.</span><span·class="n">id</span><span·class="p">)</span>117 <div·class="highlight-default·notranslate"><div·class="highlight"><pre><span></span><span·class="n">ids</span>·<span·class="o">=</span>·<span·class="n">root</span><span·class="o">.</span><span·class="n">pre_order</span><span·class="p">(</span><span·class="k">lambda</span>·<span·class="n">x</span><span·class="p">:</span>·<span·class="n">x</span><span·class="o">.</span><span·class="n">id</span><span·class="p">)</span>
118 </pre></div>118 </pre></div>
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105 ··<div·class="section"·id="scipy-optimize-brute">105 ··<div·class="section"·id="scipy-optimize-brute">
106 <h1>scipy.optimize.brute<a·class="headerlink"·href="#scipy-optimize-brute"·title="Permalink·to·this·headline">¶</a></h1>106 <h1>scipy.optimize.brute<a·class="headerlink"·href="#scipy-optimize-brute"·title="Permalink·to·this·headline">¶</a></h1>
107 <dl·class="py·function">107 <dl·class="py·function">
108 <dt·id="scipy.optimize.brute">108 <dt·id="scipy.optimize.brute">
109 <code·class="sig-prename·descclassname">scipy.optimize.</code><code·class="sig-name·descname">brute</code><span·class="sig-paren">(</span><em·class="sig-param">func</em>,·<em·class="sig-param">ranges</em>,·<em·class="sig-param">args=()</em>,·<em·class="sig-param">Ns=20</em>,·<em·class="sig-param">full_output=0</em>,·<em·class="sig-param">finish=&lt;function·fmin·at·0x7f0e28f77790&gt;</em>,·<em·class="sig-param">disp=False</em>,·<em·class="sig-param">workers=1</em><span·class="sig-paren">)</span><a·class="reference·external"·href="https://github.com/scipy/scipy/blob/v1.6.0/scipy/optimize/optimize.py#L3066-L3320"><span·class="viewcode-link">[source]</span></a><a·class="headerlink"·href="#scipy.optimize.brute"·title="Permalink·to·this·definition">¶</a></dt>109 <code·class="sig-prename·descclassname">scipy.optimize.</code><code·class="sig-name·descname">brute</code><span·class="sig-paren">(</span><em·class="sig-param">func</em>,·<em·class="sig-param">ranges</em>,·<em·class="sig-param">args=()</em>,·<em·class="sig-param">Ns=20</em>,·<em·class="sig-param">full_output=0</em>,·<em·class="sig-param">finish=&lt;function·fmin·at·0x7f61211e7790&gt;</em>,·<em·class="sig-param">disp=False</em>,·<em·class="sig-param">workers=1</em><span·class="sig-paren">)</span><a·class="reference·external"·href="https://github.com/scipy/scipy/blob/v1.6.0/scipy/optimize/optimize.py#L3066-L3320"><span·class="viewcode-link">[source]</span></a><a·class="headerlink"·href="#scipy.optimize.brute"·title="Permalink·to·this·definition">¶</a></dt>
110 <dd><p>Minimize·a·function·over·a·given·range·by·brute·force.</p>110 <dd><p>Minimize·a·function·over·a·given·range·by·brute·force.</p>
111 <p>Uses·the·“brute·force”·method,·i.e.,·computes·the·function’s·value111 <p>Uses·the·“brute·force”·method,·i.e.,·computes·the·function’s·value
112 at·each·point·of·a·multidimensional·grid·of·points,·to·find·the·global112 at·each·point·of·a·multidimensional·grid·of·points,·to·find·the·global
113 minimum·of·the·function.</p>113 minimum·of·the·function.</p>
114 <p>The·function·is·evaluated·everywhere·in·the·range·with·the·datatype·of·the114 <p>The·function·is·evaluated·everywhere·in·the·range·with·the·datatype·of·the
115 first·call·to·the·function,·as·enforced·by·the·<code·class="docutils·literal·notranslate"><span·class="pre">vectorize</span></code>·NumPy115 first·call·to·the·function,·as·enforced·by·the·<code·class="docutils·literal·notranslate"><span·class="pre">vectorize</span></code>·NumPy
116 function.·The·value·and·type·of·the·function·evaluation·returned·when116 function.·The·value·and·type·of·the·function·evaluation·returned·when
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105 ··<div·class="section"·id="scipy-stats-median-abs-deviation">105 ··<div·class="section"·id="scipy-stats-median-abs-deviation">
106 <h1>scipy.stats.median_abs_deviation<a·class="headerlink"·href="#scipy-stats-median-abs-deviation"·title="Permalink·to·this·headline">¶</a></h1>106 <h1>scipy.stats.median_abs_deviation<a·class="headerlink"·href="#scipy-stats-median-abs-deviation"·title="Permalink·to·this·headline">¶</a></h1>
107 <dl·class="py·function">107 <dl·class="py·function">
108 <dt·id="scipy.stats.median_abs_deviation">108 <dt·id="scipy.stats.median_abs_deviation">
109 <code·class="sig-prename·descclassname">scipy.stats.</code><code·class="sig-name·descname">median_abs_deviation</code><span·class="sig-paren">(</span><em·class="sig-param">x</em>,·<em·class="sig-param">axis=0</em>,·<em·class="sig-param">center=&lt;function·median·at·0x7f0e2c84be50&gt;</em>,·<em·class="sig-param">scale=1.0</em>,·<em·class="sig-param">nan_policy='propagate'</em><span·class="sig-paren">)</span><a·class="reference·external"·href="https://github.com/scipy/scipy/blob/v1.6.0/scipy/stats/stats.py#L2951-L3101"><span·class="viewcode-link">[source]</span></a><a·class="headerlink"·href="#scipy.stats.median_abs_deviation"·title="Permalink·to·this·definition">¶</a></dt>109 <code·class="sig-prename·descclassname">scipy.stats.</code><code·class="sig-name·descname">median_abs_deviation</code><span·class="sig-paren">(</span><em·class="sig-param">x</em>,·<em·class="sig-param">axis=0</em>,·<em·class="sig-param">center=&lt;function·median·at·0x7f6124a5be50&gt;</em>,·<em·class="sig-param">scale=1.0</em>,·<em·class="sig-param">nan_policy='propagate'</em><span·class="sig-paren">)</span><a·class="reference·external"·href="https://github.com/scipy/scipy/blob/v1.6.0/scipy/stats/stats.py#L2951-L3101"><span·class="viewcode-link">[source]</span></a><a·class="headerlink"·href="#scipy.stats.median_abs_deviation"·title="Permalink·to·this·definition">¶</a></dt>
110 <dd><p>Compute·the·median·absolute·deviation·of·the·data·along·the·given·axis.</p>110 <dd><p>Compute·the·median·absolute·deviation·of·the·data·along·the·given·axis.</p>
111 <p>The·median·absolute·deviation·(MAD,·<a·class="reference·internal"·href="#r63fe0ba43769-1"·id="id1">[1]</a>)·computes·the·median·over·the111 <p>The·median·absolute·deviation·(MAD,·<a·class="reference·internal"·href="#r63fe0ba43769-1"·id="id1">[1]</a>)·computes·the·median·over·the
112 absolute·deviations·from·the·median.·It·is·a·measure·of·dispersion112 absolute·deviations·from·the·median.·It·is·a·measure·of·dispersion
113 similar·to·the·standard·deviation·but·more·robust·to·outliers·<a·class="reference·internal"·href="#r63fe0ba43769-2"·id="id2">[2]</a>.</p>113 similar·to·the·standard·deviation·but·more·robust·to·outliers·<a·class="reference·internal"·href="#r63fe0ba43769-2"·id="id2">[2]</a>.</p>
114 <p>The·MAD·of·an·empty·array·is·<code·class="docutils·literal·notranslate"><span·class="pre">np.nan</span></code>.</p>114 <p>The·MAD·of·an·empty·array·is·<code·class="docutils·literal·notranslate"><span·class="pre">np.nan</span></code>.</p>
115 <div·class="versionadded">115 <div·class="versionadded">
116 <p><span·class="versionmodified·added">New·in·version·1.5.0.</span></p>116 <p><span·class="versionmodified·added">New·in·version·1.5.0.</span></p>
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105 ··<div·class="section"·id="scipy-stats-multiscale-graphcorr">105 ··<div·class="section"·id="scipy-stats-multiscale-graphcorr">
106 <h1>scipy.stats.multiscale_graphcorr<a·class="headerlink"·href="#scipy-stats-multiscale-graphcorr"·title="Permalink·to·this·headline">¶</a></h1>106 <h1>scipy.stats.multiscale_graphcorr<a·class="headerlink"·href="#scipy-stats-multiscale-graphcorr"·title="Permalink·to·this·headline">¶</a></h1>
107 <dl·class="py·function">107 <dl·class="py·function">
108 <dt·id="scipy.stats.multiscale_graphcorr">108 <dt·id="scipy.stats.multiscale_graphcorr">
109 <code·class="sig-prename·descclassname">scipy.stats.</code><code·class="sig-name·descname">multiscale_graphcorr</code><span·class="sig-paren">(</span><em·class="sig-param">x</em>,·<em·class="sig-param">y</em>,·<em·class="sig-param">compute_distance=&lt;function·_euclidean_dist·at·0x7f0e28747280&gt;</em>,·<em·class="sig-param">reps=1000</em>,·<em·class="sig-param">workers=1</em>,·<em·class="sig-param">is_twosamp=False</em>,·<em·class="sig-param">random_state=None</em><span·class="sig-paren">)</span><a·class="reference·external"·href="https://github.com/scipy/scipy/blob/v1.6.0/scipy/stats/stats.py#L4865-L5144"><span·class="viewcode-link">[source]</span></a><a·class="headerlink"·href="#scipy.stats.multiscale_graphcorr"·title="Permalink·to·this·definition">¶</a></dt>109 <code·class="sig-prename·descclassname">scipy.stats.</code><code·class="sig-name·descname">multiscale_graphcorr</code><span·class="sig-paren">(</span><em·class="sig-param">x</em>,·<em·class="sig-param">y</em>,·<em·class="sig-param">compute_distance=&lt;function·_euclidean_dist·at·0x7f6120954280&gt;</em>,·<em·class="sig-param">reps=1000</em>,·<em·class="sig-param">workers=1</em>,·<em·class="sig-param">is_twosamp=False</em>,·<em·class="sig-param">random_state=None</em><span·class="sig-paren">)</span><a·class="reference·external"·href="https://github.com/scipy/scipy/blob/v1.6.0/scipy/stats/stats.py#L4865-L5144"><span·class="viewcode-link">[source]</span></a><a·class="headerlink"·href="#scipy.stats.multiscale_graphcorr"·title="Permalink·to·this·definition">¶</a></dt>
110 <dd><p>Computes·the·Multiscale·Graph·Correlation·(MGC)·test·statistic.</p>110 <dd><p>Computes·the·Multiscale·Graph·Correlation·(MGC)·test·statistic.</p>
111 <p>Specifically,·for·each·point,·MGC·finds·the·<span·class="math·notranslate·nohighlight">\(k\)</span>-nearest·neighbors·for111 <p>Specifically,·for·each·point,·MGC·finds·the·<span·class="math·notranslate·nohighlight">\(k\)</span>-nearest·neighbors·for
112 one·property·(e.g.·cloud·density),·and·the·<span·class="math·notranslate·nohighlight">\(l\)</span>-nearest·neighbors·for112 one·property·(e.g.·cloud·density),·and·the·<span·class="math·notranslate·nohighlight">\(l\)</span>-nearest·neighbors·for
113 the·other·property·(e.g.·grass·wetness)·<a·class="reference·internal"·href="#r882c1b4c2283-1"·id="id1">[1]</a>.·This·pair·<span·class="math·notranslate·nohighlight">\((k,·l)\)</span>·is113 the·other·property·(e.g.·grass·wetness)·<a·class="reference·internal"·href="#r882c1b4c2283-1"·id="id1">[1]</a>.·This·pair·<span·class="math·notranslate·nohighlight">\((k,·l)\)</span>·is
114 called·the·“scale”.·A·priori,·however,·it·is·not·know·which·scales·will·be114 called·the·“scale”.·A·priori,·however,·it·is·not·know·which·scales·will·be
115 most·informative.·So,·MGC·computes·all·distance·pairs,·and·then·efficiently115 most·informative.·So,·MGC·computes·all·distance·pairs,·and·then·efficiently
116 computes·the·distance·correlations·for·all·scales.·The·local·correlations116 computes·the·distance·correlations·for·all·scales.·The·local·correlations
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4352 ········"0x_3":·3427,4352 ········"0x_3":·3427,
4353 ········"0x_4":·3427,4353 ········"0x_4":·3427,
4354 ········"100":·[10,·16,·41,·101,·143,·280,·287,·288,·356,·464,·497,·498,·510,·512,·513,·515,·563,·716,·1405,·1446,·1537,·1538,·1541,·1542,·1557,·1560,·1561,·1563,·1565,·1566,·1572,·1575,·1578,·1579,·1582,·1586,·1588,·1624,·1626,·1627,·1628,·1631,·1632,·1638,·1639,·1640,·1641,·1647,·1651,·1653,·1654,·1659,·1667,·1676,·1691,·1694,·1697,·1699,·1701,·1702,·1705,·1727,·1739,·1741,·1743,·1748,·1750,·1751,·1754,·1755,·1756,·1759,·1767,·1785,·1796,·1812,·2366,·2439,·2446,·2475,·2508,·2533,·2561,·2658,·2673,·2678,·2679,·2701,·2704,·2749,·2754,·2815,·2834,·2862,·2900,·2903,·2905,·2906,·2908,·2910,·2912,·2919,·2923,·2925,·2926,·2927,·2928,·2929,·2938,·2940,·2943,·2946,·2951,·2952,·2953,·2954,·2955,·2957,·2960,·2962,·2963,·2965,·2966,·2983,·2984,·2985,·2986,·2987,·2988,·2989,·2990,·2992,·2994,·2996,·2997,·2998,·2999,·3000,·3001,·3004,·3005,·3006,·3007,·3008,·3009,·3012,·3013,·3014,·3015,·3018,·3020,·3023,·3024,·3025,·3026,·3028,·3029,·3031,·3032,·3033,·3035,·3036,·3037,·3038,·3040,·3041,·3044,·3045,·3046,·3048,·3052,·3127,·3132,·3134,·3135,·3136,·3138,·3140,·3143,·3144,·3146,·3151,·3152,·3153,·3156,·3161,·3162,·3163,·3165,·3174,·3192,·3198,·3215,·3223,·3242,·3244,·3245,·3247,·3250,·3251,·3252,·3254,·3260,·3261,·3265,·3266,·3270,·3273,·3275,·3278,·3279,·3280,·3282,·3283,·3286,·3287,·3316,·3323,·3327,·3328,·3345,·3348,·3383,·3385,·3390,·3394,·3396,·3406,·3417,·3419,·3422,·3423,·3427,·3428,·3429,·3430,·3431,·3480,·3516],4354 ········"100":·[10,·16,·41,·101,·143,·280,·287,·288,·356,·464,·497,·498,·510,·512,·513,·515,·563,·716,·1405,·1446,·1537,·1538,·1541,·1542,·1557,·1560,·1561,·1563,·1565,·1566,·1572,·1575,·1578,·1579,·1582,·1586,·1588,·1624,·1626,·1627,·1628,·1631,·1632,·1638,·1639,·1640,·1641,·1647,·1651,·1653,·1654,·1659,·1667,·1676,·1691,·1694,·1697,·1699,·1701,·1702,·1705,·1727,·1739,·1741,·1743,·1748,·1750,·1751,·1754,·1755,·1756,·1759,·1767,·1785,·1796,·1812,·2366,·2439,·2446,·2475,·2508,·2533,·2561,·2658,·2673,·2678,·2679,·2701,·2704,·2749,·2754,·2815,·2834,·2862,·2900,·2903,·2905,·2906,·2908,·2910,·2912,·2919,·2923,·2925,·2926,·2927,·2928,·2929,·2938,·2940,·2943,·2946,·2951,·2952,·2953,·2954,·2955,·2957,·2960,·2962,·2963,·2965,·2966,·2983,·2984,·2985,·2986,·2987,·2988,·2989,·2990,·2992,·2994,·2996,·2997,·2998,·2999,·3000,·3001,·3004,·3005,·3006,·3007,·3008,·3009,·3012,·3013,·3014,·3015,·3018,·3020,·3023,·3024,·3025,·3026,·3028,·3029,·3031,·3032,·3033,·3035,·3036,·3037,·3038,·3040,·3041,·3044,·3045,·3046,·3048,·3052,·3127,·3132,·3134,·3135,·3136,·3138,·3140,·3143,·3144,·3146,·3151,·3152,·3153,·3156,·3161,·3162,·3163,·3165,·3174,·3192,·3198,·3215,·3223,·3242,·3244,·3245,·3247,·3250,·3251,·3252,·3254,·3260,·3261,·3265,·3266,·3270,·3273,·3275,·3278,·3279,·3280,·3282,·3283,·3286,·3287,·3316,·3323,·3327,·3328,·3345,·3348,·3383,·3385,·3390,·3394,·3396,·3406,·3417,·3419,·3422,·3423,·3427,·3428,·3429,·3430,·3431,·3480,·3516],
4355 ········"1000":·[100,·287,·371,·401,·485,·501,·742,·1049,·1537,·1539,·1549,·1550,·1555,·1556,·1631,·1638,·1639,·1651,·1662,·1676,·1679,·1688,·1689,·1691,·1692,·1694,·1699,·1701,·1703,·1711,·1715,·1745,·1746,·1777,·1802,·1815,·2362,·2365,·2621,·2658,·2659,·2679,·2701,·2747,·2749,·2750,·2759,·2900,·2903,·2905,·2906,·2909,·2910,·2911,·2912,·2916,·2918,·2920,·2923,·2925,·2926,·2927,·2928,·2929,·2938,·2940,·2941,·2943,·2945,·2946,·2951,·2952,·2953,·2954,·2955,·2957,·2960,·2962,·2963,·2965,·2966,·2983,·2984,·2985,·2986,·2987,·2988,·2989,·2990,·2991,·2992,·2994,·2995,·2996,·2997,·2998,·2999,·3000,·3001,·3004,·3005,·3006,·3007,·3012,·3013,·3014,·3015,·3020,·3024,·3025,·3026,·3027,·3028,·3029,·3031,·3032,·3033,·3035,·3036,·3037,·3038,·3039,·3040,·3041,·3044,·3048,·3052,·3127,·3132,·3133,·3134,·3135,·3136,·3138,·3139,·3140,·3143,·3144,·3147,·3149,·3151,·3152,·3153,·3157,·3161,·3162,·3163,·3164,·3165,·3171,·3196,·3220,·3241,·3244,·3248,·3250,·3254,·3260,·3261,·3265,·3266,·3273,·3275,·3278,·3279,·3280,·3282,·3283,·3287,·3289,·3292,·3293,·3306,·3316,·3321,·3326,·3329,·3342,·3361,·3372,·3396,·3400,·3406,·3417,·3423,·3427,·3430,·3431],4355 ········"1000":·[100,·287,·371,·401,·485,·501,·742,·1049,·1537,·1539,·1549,·1550,·1555,·1556,·1631,·1638,·1639,·1651,·1662,·1676,·1679,·1688,·1689,·1691,·1692,·1694,·1699,·1701,·1703,·1711,·1715,·1745,·1746,·1777,·1802,·1815,·2362,·2365,·2621,·2658,·2659,·2679,·2701,·2747,·2749,·2750,·2759,·2900,·2903,·2905,·2906,·2909,·2910,·2911,·2912,·2916,·2918,·2920,·2923,·2925,·2926,·2927,·2928,·2929,·2938,·2940,·2941,·2943,·2945,·2946,·2951,·2952,·2953,·2954,·2955,·2957,·2960,·2962,·2963,·2965,·2966,·2983,·2984,·2985,·2986,·2987,·2988,·2989,·2990,·2991,·2992,·2994,·2995,·2996,·2997,·2998,·2999,·3000,·3001,·3004,·3005,·3006,·3007,·3012,·3013,·3014,·3015,·3020,·3024,·3025,·3026,·3027,·3028,·3029,·3031,·3032,·3033,·3035,·3036,·3037,·3038,·3039,·3040,·3041,·3044,·3048,·3052,·3127,·3132,·3133,·3134,·3135,·3136,·3138,·3139,·3140,·3143,·3144,·3147,·3149,·3151,·3152,·3153,·3157,·3161,·3162,·3163,·3164,·3165,·3171,·3196,·3220,·3241,·3244,·3248,·3250,·3254,·3260,·3261,·3265,·3266,·3273,·3275,·3278,·3279,·3280,·3282,·3283,·3287,·3289,·3292,·3293,·3306,·3316,·3321,·3326,·3329,·3342,·3361,·3372,·3396,·3400,·3406,·3417,·3423,·3427,·3430,·3431],
4356 ········"10000":·[280,·282,·1572,·1663,·1669,·1687,·1729,·1802,·2645,·2913,·3019,·3154,·3155,·3431],4356 ········"10000":·[280,·282,·1572,·1663,·1669,·1687,·1729,·1802,·2645,·2913,·3019,·3154,·3155,·3431],
4357 ········"100000":·[10,·1565,·1715,·1743,·2908,·3011,·3215],4357 ········"100000":·[10,·1565,·1715,·1743,·2908,·3011,·3215],