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1 Package:·python-statsmodels-doc1 Package:·python-statsmodels-doc
2 Source:·statsmodels2 Source:·statsmodels
3 Version:·0.14.1+dfsg-23 Version:·0.14.1+dfsg-2
4 Architecture:·all4 Architecture:·all
5 Maintainer:·Debian·Science·Maintainers·<debian-science-maintainers@lists.alioth.debian.org>5 Maintainer:·Debian·Science·Maintainers·<debian-science-maintainers@lists.alioth.debian.org>
6 Installed-Size:·1559346 Installed-Size:·155933
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10 Replaces:·python-scikits-statsmodels-doc,·python-scikits.statsmodels-doc,·python-statsmodels·(<<·0.9.0-3~)10 Replaces:·python-scikits-statsmodels-doc,·python-scikits.statsmodels-doc,·python-statsmodels·(<<·0.9.0-3~)
11 Section:·doc11 Section:·doc
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486 ······<th></th>486 ······<th></th>
487 ······<th>Variance</th>487 ······<th>Variance</th>
488 ····</tr>488 ····</tr>
489 ··</thead>489 ··</thead>
490 ··<tbody>490 ··<tbody>
491 ····<tr>491 ····<tr>
492 ······<th>groups_ix</th>492 ······<th>groups_ix</th>
493 ······<td>1.072835</td>493 ······<td>0.965873</td>
494 ····</tr>494 ····</tr>
495 ····<tr>495 ····<tr>
496 ······<th>level1_ix</th>496 ······<th>level1_ix</th>
497 ······<td>1.824203</td>497 ······<td>2.049894</td>
498 ····</tr>498 ····</tr>
499 ····<tr>499 ····<tr>
500 ······<th>level2_ix</th>500 ······<th>level2_ix</th>
501 ······<td>3.033258</td>501 ······<td>3.050487</td>
502 ····</tr>502 ····</tr>
503 ····<tr>503 ····<tr>
504 ······<th>Residual</th>504 ······<th>Residual</th>
505 ······<td>4.009540</td>505 ······<td>3.958610</td>
506 ····</tr>506 ····</tr>
507 ··</tbody>507 ··</tbody>
508 </table>508 </table>
509 </div></div>509 </div></div>
510 </div>510 </div>
511 </section>511 </section>
  
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99 The·estimated·covariance·parameters·should·be·similar·to·groups_var,99 The·estimated·covariance·parameters·should·be·similar·to·groups_var,
100 level1_var,·etc.·as·defined·above.100 level1_var,·etc.·as·defined·above.
101 [13]:101 [13]:
102 r.cov_struct.summary()102 r.cov_struct.summary()
103 [13]:103 [13]:
104 ·__________________104 ·__________________
105 |_________|Variance|105 |_________|Variance|
106 |groups_ix|1.072835|106 |groups_ix|0.965873|
107 |level1_ix|1.824203|107 |level1_ix|2.049894|
108 |level2_ix|3.033258|108 |level2_ix|3.050487|
109 |Residual_|4.009540|109 |Residual_|3.958610|
110 [Logo]110 [Logo]
111 ****·Table_of_Contents·****111 ****·Table_of_Contents·****
112 ····*·Installing_statsmodels112 ····*·Installing_statsmodels
113 ····*·Getting_started113 ····*·Getting_started
114 ····*·User_Guide114 ····*·User_Guide
115 ····*·Examples115 ····*·Examples
116 ····*·API_Reference116 ····*·API_Reference
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29 ················"import·statsmodels.api·as·sm"29 ················"import·statsmodels.api·as·sm"
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631 </pre></div></div>631 </pre></div></div>
632 </div>632 </div>
633 <div·class="nboutput·nblast·docutils·container">633 <div·class="nboutput·nblast·docutils·container">
634 <div·class="prompt·empty·docutils·container">634 <div·class="prompt·empty·docutils·container">
635 </div>635 </div>
636 <div·class="output_area·stderr·docutils·container">636 <div·class="output_area·stderr·docutils·container">
637 <div·class="highlight"><pre>637 <div·class="highlight"><pre>
638 /tmp/ipykernel_22844/4175420381.py:1:·FutureWarning:·Calling·float·on·a·single·element·Series·is·deprecated·and·will·raise·a·TypeError·in·the·future.·Use·float(ser.iloc[0])·instead638 /tmp/ipykernel_18848/4175420381.py:1:·FutureWarning:·Calling·float·on·a·single·element·Series·is·deprecated·and·will·raise·a·TypeError·in·the·future.·Use·float(ser.iloc[0])·instead
639 ··print(&#34;%2.4f%%&#34;·%·(diff*100))639 ··print(&#34;%2.4f%%&#34;·%·(diff*100))
640 </pre></div></div>640 </pre></div></div>
641 </div>641 </div>
642 </section>642 </section>
643 <section·id="Plots">643 <section·id="Plots">
644 <h3>Plots<a·class="headerlink"·href="#Plots"·title="Link·to·this·heading">¶</a></h3>644 <h3>Plots<a·class="headerlink"·href="#Plots"·title="Link·to·this·heading">¶</a></h3>
645 <p>We·extract·information·that·will·be·used·to·draw·some·interesting·plots:</p>645 <p>We·extract·information·that·will·be·used·to·draw·some·interesting·plots:</p>
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266 resp_75·=·res.predict(means75)266 resp_75·=·res.predict(means75)
267 diff·=·resp_75·-·resp_25267 diff·=·resp_75·-·resp_25
268 The·interquartile·first·difference·for·the·percentage·of·low·income·households268 The·interquartile·first·difference·for·the·percentage·of·low·income·households
269 in·a·school·district·is:269 in·a·school·district·is:
270 [10]:270 [10]:
271 print("%2.4f%%"·%·(diff*100))271 print("%2.4f%%"·%·(diff*100))
272 -11.8753%272 -11.8753%
273 /tmp/ipykernel_22844/4175420381.py:1:·FutureWarning:·Calling·float·on·a·single273 /tmp/ipykernel_18848/4175420381.py:1:·FutureWarning:·Calling·float·on·a·single
274 element·Series·is·deprecated·and·will·raise·a·TypeError·in·the·future.·Use274 element·Series·is·deprecated·and·will·raise·a·TypeError·in·the·future.·Use
275 float(ser.iloc[0])·instead275 float(ser.iloc[0])·instead
276 ··print("%2.4f%%"·%·(diff*100))276 ··print("%2.4f%%"·%·(diff*100))
  
277 ****·Plots¶·****277 ****·Plots¶·****
278 We·extract·information·that·will·be·used·to·draw·some·interesting·plots:278 We·extract·information·that·will·be·used·to·draw·some·interesting·plots:
279 [11]:279 [11]:
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39 ················"import·numpy·as·np\n",39 ················"import·numpy·as·np\n",
40 ················"import·statsmodels.api·as·sm\n",40 ················"import·statsmodels.api·as·sm\n",
41 ················"from·scipy·import·stats\n",41 ················"from·scipy·import·stats\n",
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486 </pre></div></div>486 </pre></div></div>
487 </div>487 </div>
488 <div·class="nboutput·nblast·docutils·container">488 <div·class="nboutput·nblast·docutils·container">
489 <div·class="prompt·empty·docutils·container">489 <div·class="prompt·empty·docutils·container">
490 </div>490 </div>
491 <div·class="output_area·stderr·docutils·container">491 <div·class="output_area·stderr·docutils·container">
492 <div·class="highlight"><pre>492 <div·class="highlight"><pre>
493 /tmp/ipykernel_22838/1000445862.py:1:·FutureWarning:·Series.__getitem__·treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by·position,·use·`ser.iloc[pos]`493 /tmp/ipykernel_20495/1000445862.py:1:·FutureWarning:·Series.__getitem__·treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by·position,·use·`ser.iloc[pos]`
494 ··print(mod1.params[1])494 ··print(mod1.params[1])
495 /tmp/ipykernel_22838/1000445862.py:2:·FutureWarning:·Series.__getitem__·treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by·position,·use·`ser.iloc[pos]`495 /tmp/ipykernel_20495/1000445862.py:2:·FutureWarning:·Series.__getitem__·treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by·position,·use·`ser.iloc[pos]`
496 ··print(mod2.params[1]·*·2)496 ··print(mod2.params[1]·*·2)
497 </pre></div></div>497 </pre></div></div>
498 </div>498 </div>
499 </section>499 </section>
  
  
500 ············<div·class="clearer"></div>500 ············<div·class="clearer"></div>
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196 As·expected,·the·coefficient·for·double_it(LOWINC)·in·the·second·model·is·half196 As·expected,·the·coefficient·for·double_it(LOWINC)·in·the·second·model·is·half
197 the·size·of·the·LOWINC·coefficient·from·the·first·model:197 the·size·of·the·LOWINC·coefficient·from·the·first·model:
198 [4]:198 [4]:
199 print(mod1.params[1])199 print(mod1.params[1])
200 print(mod2.params[1]·*·2)200 print(mod2.params[1]·*·2)
201 -0.02039598715475706201 -0.02039598715475706
202 -0.02039598715475704202 -0.02039598715475704
203 /tmp/ipykernel_22838/1000445862.py:1:·FutureWarning:·Series.__getitem__203 /tmp/ipykernel_20495/1000445862.py:1:·FutureWarning:·Series.__getitem__
204 treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys204 treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys
205 will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To205 will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To
206 access·a·value·by·position,·use·`ser.iloc[pos]`206 access·a·value·by·position,·use·`ser.iloc[pos]`
207 ··print(mod1.params[1])207 ··print(mod1.params[1])
208 /tmp/ipykernel_22838/1000445862.py:2:·FutureWarning:·Series.__getitem__208 /tmp/ipykernel_20495/1000445862.py:2:·FutureWarning:·Series.__getitem__
209 treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys209 treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys
210 will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To210 will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To
211 access·a·value·by·position,·use·`ser.iloc[pos]`211 access·a·value·by·position,·use·`ser.iloc[pos]`
212 ··print(mod2.params[1]·*·2)212 ··print(mod2.params[1]·*·2)
213 [Logo]213 [Logo]
214 ****·Table_of_Contents·****214 ****·Table_of_Contents·****
215 ····*·Installing_statsmodels215 ····*·Installing_statsmodels
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24 ················"import·pandas·as·pd\n",24 ················"import·pandas·as·pd\n",
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149 ax.set_xlim(0,·51)149 ax.set_xlim(0,·51)
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151 fig.subplots_adjust(0.1,·0.1,·0.85,·0.9)151 fig.subplots_adjust(0.1,·0.1,·0.85,·0.9)
152 legend·=·fig.legend(lines,·["PC·1",·"PC·2",·"PC·3"],·loc="center·right")152 legend·=·fig.legend(lines,·["PC·1",·"PC·2",·"PC·3"],·loc="center·right")
153 legend.draw_frame(False)153 legend.draw_frame(False)
154 /tmp/ipykernel_24352/427128218.py:3:·UserWarning:·FixedFormatter·should·only·be154 /tmp/ipykernel_13212/427128218.py:3:·UserWarning:·FixedFormatter·should·only·be
155 used·together·with·FixedLocator155 used·together·with·FixedLocator
156 ··ax.set_xticklabels(dta.columns.values[::10])156 ··ax.set_xticklabels(dta.columns.values[::10])
157 [../../../_images/examples_notebooks_generated_pca_fertility_factors_15_1.png]157 [../../../_images/examples_notebooks_generated_pca_fertility_factors_15_1.png]
158 To·better·understand·what·is·going·on,·we·will·plot·the·fertility·trajectories158 To·better·understand·what·is·going·on,·we·will·plot·the·fertility·trajectories
159 for·sets·of·countries·with·similar·PC·scores.·The·following·convenience159 for·sets·of·countries·with·similar·PC·scores.·The·following·convenience
160 function·produces·such·a·plot.160 function·produces·such·a·plot.
161 [8]:161 [8]:
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40 ················"import·numpy·as·np\n",40 ················"import·numpy·as·np\n",
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578 </pre></div></div>578 </pre></div></div>
579 </div>579 </div>
580 <div·class="nboutput·nblast·docutils·container">580 <div·class="nboutput·nblast·docutils·container">
581 <div·class="prompt·empty·docutils·container">581 <div·class="prompt·empty·docutils·container">
582 </div>582 </div>
583 <div·class="output_area·stderr·docutils·container">583 <div·class="output_area·stderr·docutils·container">
584 <div·class="highlight"><pre>584 <div·class="highlight"><pre>
585 /tmp/ipykernel_23354/976557282.py:2:·FutureWarning:·Series.__getitem__·treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by·position,·use·`ser.iloc[pos]`585 /tmp/ipykernel_15842/976557282.py:2:·FutureWarning:·Series.__getitem__·treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by·position,·use·`ser.iloc[pos]`
586 ··print(&#39;var.level·····=·%.5f&#39;·%·res.params[0])586 ··print(&#39;var.level·····=·%.5f&#39;·%·res.params[0])
587 /tmp/ipykernel_23354/976557282.py:3:·FutureWarning:·Series.__getitem__·treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by·position,·use·`ser.iloc[pos]`587 /tmp/ipykernel_15842/976557282.py:3:·FutureWarning:·Series.__getitem__·treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by·position,·use·`ser.iloc[pos]`
588 ··print(&#39;var.irregular·=·%.5f&#39;·%·res.params[1])588 ··print(&#39;var.irregular·=·%.5f&#39;·%·res.params[1])
589 /tmp/ipykernel_23354/976557282.py:7:·FutureWarning:·Series.__getitem__·treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by·position,·use·`ser.iloc[pos]`589 /tmp/ipykernel_15842/976557282.py:7:·FutureWarning:·Series.__getitem__·treating·keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always·be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by·position,·use·`ser.iloc[pos]`
590 ··print(&#39;h·*·scale·····=·%.5f&#39;·%·(res_conc.params[0]·*·res_conc.scale))590 ··print(&#39;h·*·scale·····=·%.5f&#39;·%·(res_conc.params[0]·*·res_conc.scale))
591 </pre></div></div>591 </pre></div></div>
592 </div>592 </div>
593 </section>593 </section>
594 </section>594 </section>
595 <section·id="Example:-SARIMAX">595 <section·id="Example:-SARIMAX">
596 <h2>Example:·SARIMAX<a·class="headerlink"·href="#Example:-SARIMAX"·title="Link·to·this·heading">¶</a></h2>596 <h2>Example:·SARIMAX<a·class="headerlink"·href="#Example:-SARIMAX"·title="Link·to·this·heading">¶</a></h2>
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265 Original·model265 Original·model
266 var.level·····=·0.74469266 var.level·····=·0.74469
267 var.irregular·=·3.37330267 var.irregular·=·3.37330
  
268 Concentrated·model268 Concentrated·model
269 scale·········=·0.74472269 scale·········=·0.74472
270 h·*·scale·····=·3.37338270 h·*·scale·····=·3.37338
271 /tmp/ipykernel_23354/976557282.py:2:·FutureWarning:·Series.__getitem__·treating271 /tmp/ipykernel_15842/976557282.py:2:·FutureWarning:·Series.__getitem__·treating
272 keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always272 keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always
273 be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by273 be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by
274 position,·use·`ser.iloc[pos]`274 position,·use·`ser.iloc[pos]`
275 ··print('var.level·····=·%.5f'·%·res.params[0])275 ··print('var.level·····=·%.5f'·%·res.params[0])
276 /tmp/ipykernel_23354/976557282.py:3:·FutureWarning:·Series.__getitem__·treating276 /tmp/ipykernel_15842/976557282.py:3:·FutureWarning:·Series.__getitem__·treating
277 keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always277 keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always
278 be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by278 be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by
279 position,·use·`ser.iloc[pos]`279 position,·use·`ser.iloc[pos]`
280 ··print('var.irregular·=·%.5f'·%·res.params[1])280 ··print('var.irregular·=·%.5f'·%·res.params[1])
281 /tmp/ipykernel_23354/976557282.py:7:·FutureWarning:·Series.__getitem__·treating281 /tmp/ipykernel_15842/976557282.py:7:·FutureWarning:·Series.__getitem__·treating
282 keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always282 keys·as·positions·is·deprecated.·In·a·future·version,·integer·keys·will·always
283 be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by283 be·treated·as·labels·(consistent·with·DataFrame·behavior).·To·access·a·value·by
284 position,·use·`ser.iloc[pos]`284 position,·use·`ser.iloc[pos]`
285 ··print('h·*·scale·····=·%.5f'·%·(res_conc.params[0]·*·res_conc.scale))285 ··print('h·*·scale·····=·%.5f'·%·(res_conc.params[0]·*·res_conc.scale))
  
286 *****·Example:·SARIMAX¶·*****286 *****·Example:·SARIMAX¶·*****
287 By·default·in·SARIMAX·models,·the·variance·term·is·chosen·by·numerically287 By·default·in·SARIMAX·models,·the·variance·term·is·chosen·by·numerically
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21 ············"outputs":·[],21 ············"outputs":·[],
22 ············"source":·[22 ············"source":·[
23 ················"import·numpy·as·np\n",23 ················"import·numpy·as·np\n",
24 ················"import·pandas·as·pd\n",24 ················"import·pandas·as·pd\n",
25 ················"import·statsmodels.api·as·sm\n",25 ················"import·statsmodels.api·as·sm\n",
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1239 <span·class="n">res</span>·<span·class="o">=</span>·<span·class="n">mod</span><span·class="o">.</span><span·class="n">fit</span><span·class="p">()</span>1239 <span·class="n">res</span>·<span·class="o">=</span>·<span·class="n">mod</span><span·class="o">.</span><span·class="n">fit</span><span·class="p">()</span>
1240 </pre></div>1240 </pre></div>
1241 </div>1241 </div>
1242 </div>1242 </div>
1243 <div·class="nboutput·docutils·container">1243 <div·class="nboutput·docutils·container">
1244 <div·class="prompt·empty·docutils·container">1244 <div·class="prompt·empty·docutils·container">
1245 </div>1245 </div>
1246 <div·class="output_area·stderr·docutils·container"> 
1247 <div·class="highlight"><pre> 
1248 /usr/lib/python3/dist-packages/statsmodels/tsa/base/tsa_model.py:473:·ValueWarning:·A·date·index·has·been·provided,·but·it·has·no·associated·frequency·information·and·so·will·be·ignored·when·e.g.·forecasting. 
1249 ··self._init_dates(dates,·freq) 
1250 /usr/lib/python3/dist-packages/statsmodels/tsa/base/tsa_model.py:473:·ValueWarning:·A·date·index·has·been·provided,·but·it·has·no·associated·frequency·information·and·so·will·be·ignored·when·e.g.·forecasting. 
1251 ··self._init_dates(dates,·freq) 
1252 </pre></div></div> 
1253 </div> 
1254 <div·class="nboutput·nblast·docutils·container"> 
1255 <div·class="prompt·empty·docutils·container"> 
1256 </div> 
1257 <div·class="output_area·docutils·container">1246 <div·class="output_area·docutils·container">
1258 <div·class="highlight"><pre>1247 <div·class="highlight"><pre>
1259 RUNNING·THE·L-BFGS-B·CODE1248 RUNNING·THE·L-BFGS-B·CODE
  
1260 ···········*·*·*1249 ···········*·*·*
  
1261 Machine·precision·=·2.220D-161250 Machine·precision·=·2.220D-16
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650 ···············'2000-01-01·17:32:00',·'2000-01-02·06:15:00'],650 ···············'2000-01-01·17:32:00',·'2000-01-02·06:15:00'],
651 ··············dtype='datetime64[ns]',·freq=None)651 ··············dtype='datetime64[ns]',·freq=None)
652 You·can·still·pass·this·data·to·statsmodels’·model·classes,·but·you·will·get652 You·can·still·pass·this·data·to·statsmodels’·model·classes,·but·you·will·get
653 the·following·warning,·that·no·frequency·data·was·found:653 the·following·warning,·that·no·frequency·data·was·found:
654 [28]:654 [28]:
655 mod·=·sm.tsa.SARIMAX(endog4)655 mod·=·sm.tsa.SARIMAX(endog4)
656 res·=·mod.fit()656 res·=·mod.fit()
657 /usr/lib/python3/dist-packages/statsmodels/tsa/base/tsa_model.py:473: 
658 ValueWarning:·A·date·index·has·been·provided,·but·it·has·no·associated 
659 frequency·information·and·so·will·be·ignored·when·e.g.·forecasting. 
660 ··self._init_dates(dates,·freq) 
661 /usr/lib/python3/dist-packages/statsmodels/tsa/base/tsa_model.py:473: 
662 ValueWarning:·A·date·index·has·been·provided,·but·it·has·no·associated 
663 frequency·information·and·so·will·be·ignored·when·e.g.·forecasting. 
664 ··self._init_dates(dates,·freq) 
665 RUNNING·THE·L-BFGS-B·CODE657 RUNNING·THE·L-BFGS-B·CODE
  
666 ···········*·*·*658 ···········*·*·*
  
667 Machine·precision·=·2.220D-16659 Machine·precision·=·2.220D-16
668 ·N·=············2·····M·=···········10660 ·N·=············2·····M·=···········10
669 ·This·problem·is·unconstrained.661 ·This·problem·is·unconstrained.
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33 ················"\n",33 ················"\n",
34 ················"import·numpy·as·np\n",34 ················"import·numpy·as·np\n",
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83 ················"import·pandas·as·pd\n",83 ················"import·pandas·as·pd\n",
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49 ················"import·numpy·as·np\n",49 ················"import·numpy·as·np\n",
50 ················"import·pandas·as·pd\n",50 ················"import·pandas·as·pd\n",
51 ················"import·statsmodels.api·as·sm\n",51 ················"import·statsmodels.api·as·sm\n",
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581 </pre></div></div>581 </pre></div></div>
582 </div>582 </div>
583 <div·class="nboutput·nblast·docutils·container">583 <div·class="nboutput·nblast·docutils·container">
584 <div·class="prompt·empty·docutils·container">584 <div·class="prompt·empty·docutils·container">
585 </div>585 </div>
586 <div·class="output_area·stderr·docutils·container">586 <div·class="output_area·stderr·docutils·container">
587 <div·class="highlight"><pre>587 <div·class="highlight"><pre>
588 /tmp/ipykernel_23590/1512460390.py:6:·InterpolationWarning:·The·test·statistic·is·outside·of·the·range·of·p-values·available·in·the588 /tmp/ipykernel_20720/1512460390.py:6:·InterpolationWarning:·The·test·statistic·is·outside·of·the·range·of·p-values·available·in·the
589 look-up·table.·The·actual·p-value·is·greater·than·the·p-value·returned.589 look-up·table.·The·actual·p-value·is·greater·than·the·p-value·returned.
  
590 ··kpsstest·=·kpss(timeseries,·regression=&#34;c&#34;,·nlags=&#34;auto&#34;)590 ··kpsstest·=·kpss(timeseries,·regression=&#34;c&#34;,·nlags=&#34;auto&#34;)
591 </pre></div></div>591 </pre></div></div>
592 </div>592 </div>
593 <p>Based·upon·the·p-value·of·KPSS·test,·the·null·hypothesis·can·not·be·rejected.·Hence,·the·series·is·stationary.</p>593 <p>Based·upon·the·p-value·of·KPSS·test,·the·null·hypothesis·can·not·be·rejected.·Hence,·the·series·is·stationary.</p>
594 </section>594 </section>
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194 p-value··················0.100000194 p-value··················0.100000
195 Lags·Used················0.000000195 Lags·Used················0.000000
196 Critical·Value·(10%)·····0.347000196 Critical·Value·(10%)·····0.347000
197 Critical·Value·(5%)······0.463000197 Critical·Value·(5%)······0.463000
198 Critical·Value·(2.5%)····0.574000198 Critical·Value·(2.5%)····0.574000
199 Critical·Value·(1%)······0.739000199 Critical·Value·(1%)······0.739000
200 dtype:·float64200 dtype:·float64
201 /tmp/ipykernel_23590/1512460390.py:6:·InterpolationWarning:·The·test·statistic201 /tmp/ipykernel_20720/1512460390.py:6:·InterpolationWarning:·The·test·statistic
202 is·outside·of·the·range·of·p-values·available·in·the202 is·outside·of·the·range·of·p-values·available·in·the
203 look-up·table.·The·actual·p-value·is·greater·than·the·p-value·returned.203 look-up·table.·The·actual·p-value·is·greater·than·the·p-value·returned.
  
204 ··kpsstest·=·kpss(timeseries,·regression="c",·nlags="auto")204 ··kpsstest·=·kpss(timeseries,·regression="c",·nlags="auto")
205 Based·upon·the·p-value·of·KPSS·test,·the·null·hypothesis·can·not·be·rejected.205 Based·upon·the·p-value·of·KPSS·test,·the·null·hypothesis·can·not·be·rejected.
206 Hence,·the·series·is·stationary.206 Hence,·the·series·is·stationary.
  
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36 ················"import·numpy·as·np\n",36 ················"import·numpy·as·np\n",
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38 ················"import·statsmodels.stats.rates·as·smr\n",38 ················"import·statsmodels.stats.rates·as·smr\n",
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38 ················"import·numpy·as·np\n",38 ················"import·numpy·as·np\n",
39 ················"\n",39 ················"\n",
40 ················"from·statsmodels.stats.nonparametric·import·(\n",40 ················"from·statsmodels.stats.nonparametric·import·(\n",
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889 </div>889 </div>
890 </div>890 </div>
891 <div·class="nboutput·docutils·container">891 <div·class="nboutput·docutils·container">
892 <div·class="prompt·empty·docutils·container">892 <div·class="prompt·empty·docutils·container">
893 </div>893 </div>
894 <div·class="output_area·docutils·container">894 <div·class="output_area·docutils·container">
895 <div·class="highlight"><pre>895 <div·class="highlight"><pre>
896 2.83·s·±·149·ms·per·loop·(mean·±·std.·dev.·of·7·runs,·1·loop·each)896 2.14·s·±·353·ms·per·loop·(mean·±·std.·dev.·of·7·runs,·1·loop·each)
897 </pre></div></div>897 </pre></div></div>
898 </div>898 </div>
899 <div·class="nboutput·nblast·docutils·container">899 <div·class="nboutput·nblast·docutils·container">
900 <div·class="prompt·empty·docutils·container">900 <div·class="prompt·empty·docutils·container">
901 </div>901 </div>
902 <div·class="output_area·docutils·container">902 <div·class="output_area·docutils·container">
903 <img·alt="../../../_images/examples_notebooks_generated_stl_decomposition_17_1.png"·src="../../../_images/examples_notebooks_generated_stl_decomposition_17_1.png"·/>903 <img·alt="../../../_images/examples_notebooks_generated_stl_decomposition_17_1.png"·src="../../../_images/examples_notebooks_generated_stl_decomposition_17_1.png"·/>
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516 [../../../_images/examples_notebooks_generated_stl_decomposition_15_0.png]516 [../../../_images/examples_notebooks_generated_stl_decomposition_15_0.png]
517 First,·the·base·line·model·is·estimated·with·all·jumps·equal·to·1.517 First,·the·base·line·model·is·estimated·with·all·jumps·equal·to·1.
518 [10]:518 [10]:
519 mod·=·STL(y,·period=period,·seasonal=seasonal)519 mod·=·STL(y,·period=period,·seasonal=seasonal)
520 %timeit·mod.fit()520 %timeit·mod.fit()
521 res·=·mod.fit()521 res·=·mod.fit()
522 fig·=·res.plot(observed=False,·resid=False)522 fig·=·res.plot(observed=False,·resid=False)
523 2.83·s·Â±·149·ms·per·loop·(mean·Â±·std.·dev.·of·7·runs,·1·loop·each)523 2.14·s·Â±·353·ms·per·loop·(mean·Â±·std.·dev.·of·7·runs,·1·loop·each)
524 [../../../_images/examples_notebooks_generated_stl_decomposition_17_1.png]524 [../../../_images/examples_notebooks_generated_stl_decomposition_17_1.png]
525 The·jumps·are·all·set·to·15%·of·their·window·length.·Limited·linear525 The·jumps·are·all·set·to·15%·of·their·window·length.·Limited·linear
526 interpolation·makes·little·difference·to·the·fit·of·the·model.526 interpolation·makes·little·difference·to·the·fit·of·the·model.
527 [11]:527 [11]:
528 low_pass_jump·=·seasonal_jump·=·int(0.15·*·(period·+·1))528 low_pass_jump·=·seasonal_jump·=·int(0.15·*·(period·+·1))
529 trend_jump·=·int(0.15·*·1.5·*·(period·+·1))529 trend_jump·=·int(0.15·*·1.5·*·(period·+·1))
530 mod·=·STL(530 mod·=·STL(
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41 ················"import·os\n",41 ················"import·os\n",
42 ················"import·numpy·as·np\n",42 ················"import·numpy·as·np\n",
43 ················"from·numpy.testing·import·assert_allclose\n",43 ················"from·numpy.testing·import·assert_allclose\n",
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906 <span·class="nb">print</span><span·class="p">(</span><span·class="n">table</span><span·class="o">.</span><span·class="n">set_index</span><span·class="p">(</span><span·class="s2">&quot;lag&quot;</span><span·class="p">))</span>906 <span·class="nb">print</span><span·class="p">(</span><span·class="n">table</span><span·class="o">.</span><span·class="n">set_index</span><span·class="p">(</span><span·class="s2">&quot;lag&quot;</span><span·class="p">))</span>
907 </pre></div>907 </pre></div>
908 </div>908 </div>
909 </div>909 </div>
910 <div·class="nboutput·docutils·container">910 <div·class="nboutput·docutils·container">
911 <div·class="prompt·empty·docutils·container">911 <div·class="prompt·empty·docutils·container">
912 </div>912 </div>
913 <div·class="output_area·stderr·docutils·container"> 
914 <div·class="highlight"><pre> 
915 /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/sarimax.py:966:·UserWarning:·Non-stationary·starting·autoregressive·parameters·found.·Using·zeros·as·starting·parameters. 
916 ··warn(&#39;Non-stationary·starting·autoregressive·parameters&#39; 
917 /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/sarimax.py:978:·UserWarning:·Non-invertible·starting·MA·parameters·found.·Using·zeros·as·starting·parameters. 
918 ··warn(&#39;Non-invertible·starting·MA·parameters·found.&#39; 
919 </pre></div></div> 
920 </div> 
921 <div·class="nboutput·nblast·docutils·container"> 
922 <div·class="prompt·empty·docutils·container"> 
923 </div> 
924 <div·class="output_area·docutils·container">913 <div·class="output_area·docutils·container">
925 <div·class="highlight"><pre>914 <div·class="highlight"><pre>
926 ············AC···········Q······Prob(&gt;Q)915 ············AC···········Q······Prob(&gt;Q)
927 lag916 lag
928 1.0··-0.001244····0.000778··9.777436e-01917 1.0··-0.001244····0.000778··9.777436e-01
929 2.0···0.052350····1.382049··5.010626e-01918 2.0···0.052350····1.382049··5.010626e-01
930 3.0··-0.522181··139.090106··5.938063e-30919 3.0··-0.522181··139.090106··5.938063e-30
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243 lags·=·int(10·*·np.log10(arma_rvs.shape[0]))243 lags·=·int(10·*·np.log10(arma_rvs.shape[0]))
244 arma11·=·ARIMA(arma_rvs,·order=(1,·0,·1)).fit()244 arma11·=·ARIMA(arma_rvs,·order=(1,·0,·1)).fit()
245 resid·=·arma11.resid245 resid·=·arma11.resid
246 r,·q,·p·=·sm.tsa.acf(resid,·nlags=lags,·fft=True,·qstat=True)246 r,·q,·p·=·sm.tsa.acf(resid,·nlags=lags,·fft=True,·qstat=True)
247 data·=·np.c_[range(1,·lags·+·1),·r[1:],·q,·p]247 data·=·np.c_[range(1,·lags·+·1),·r[1:],·q,·p]
248 table·=·pd.DataFrame(data,·columns=["lag",·"AC",·"Q",·"Prob(>Q)"])248 table·=·pd.DataFrame(data,·columns=["lag",·"AC",·"Q",·"Prob(>Q)"])
249 print(table.set_index("lag"))249 print(table.set_index("lag"))
250 /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/sarimax.py:966: 
251 UserWarning:·Non-stationary·starting·autoregressive·parameters·found.·Using 
252 zeros·as·starting·parameters. 
253 ··warn('Non-stationary·starting·autoregressive·parameters' 
254 /usr/lib/python3/dist-packages/statsmodels/tsa/statespace/sarimax.py:978: 
255 UserWarning:·Non-invertible·starting·MA·parameters·found.·Using·zeros·as 
256 starting·parameters. 
257 ··warn('Non-invertible·starting·MA·parameters·found.' 
258 ············AC···········Q······Prob(>Q)250 ············AC···········Q······Prob(>Q)
259 lag251 lag
260 1.0··-0.001244····0.000778··9.777436e-01252 1.0··-0.001244····0.000778··9.777436e-01
261 2.0···0.052350····1.382049··5.010626e-01253 2.0···0.052350····1.382049··5.010626e-01
262 3.0··-0.522181··139.090106··5.938063e-30254 3.0··-0.522181··139.090106··5.938063e-30
263 4.0···0.146506··149.951983··2.084573e-31255 4.0···0.146506··149.951983··2.084573e-31
264 5.0··-0.091171··154.166872··1.731083e-31256 5.0··-0.091171··154.166872··1.731083e-31
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37 ············"outputs":·[],37 ············"outputs":·[],
38 ············"source":·[38 ············"source":·[
39 ················"import·pandas·as·pd\n",39 ················"import·pandas·as·pd\n",
40 ················"import·matplotlib.pyplot·as·plt\n",40 ················"import·matplotlib.pyplot·as·plt\n",
41 ················"\n",41 ················"\n",
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./usr/share/doc/python-statsmodels-doc/html/examples/notebooks/generated/wls.ipynb.gz
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wls.ipynb
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Pretty-printed
Similarity: 0.9983506944444445% Differences: {"'cells'": "{1: {'metadata': {'execution': {'iopub.execute_input': '2024-04-23T13:25:04.810059Z', " "'iopub.status.busy': '2024-04-23T13:25:04.809168Z', 'iopub.status.idle': " "'2024-04-23T13:25:08.839222Z', 'shell.execute_reply': " "'2024-04-23T13:25:08.827189Z'}}}, 2: {'metadata': {'execution': " "{'iopub.execute_input': '2024-04-23T13:25:08.861345Z', 'iopub.status.busy': " "'2024-04-23T13:25:08.859588Z', 'iopub.status.idle': '2024-04-23T13:25:1 […]
    
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23 ················"%matplotlib·inline"23 ················"%matplotlib·inline"
24 ············]24 ············]
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38 ············"source":·[38 ············"source":·[
39 ················"import·matplotlib.pyplot·as·plt\n",39 ················"import·matplotlib.pyplot·as·plt\n",
40 ················"import·numpy·as·np\n",40 ················"import·numpy·as·np\n",
41 ················"import·statsmodels.api·as·sm\n",41 ················"import·statsmodels.api·as·sm\n",
209 KB
./usr/share/doc/python-statsmodels-doc/html/searchindex.js
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js-beautify {}
    
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252 ········"sum_sq":·[1,·3800],252 ········"sum_sq":·[1,·3800],
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254 ········"f":·[1,·5,·34,·46,·71,·85,·89,·90,·94,·106,·116,·120,·121,·144,·147,·185,·187,·188,·191,·193,·201,·203,·206,·210,·214,·219,·227,·228,·231,·232,·234,·235,·243,·244,·246,·257,·258,·264,·265,·277,·287,·291,·292,·299,·300,·301,·302,·303,·304,·305,·306,·310,·324,·336,·349,·359,·363,·364,·370,·387,·406,·434,·438,·439,·445,·464,·492,·496,·497,·503,·522,·550,·554,·555,·561,·579,·607,·611,·612,·618,·634,·662,·666,·667,·673,·689,·715,·719,·720,·726,·747,·777,·781,·782,·789,·812,·841,·845,·846,·852,·872,·890,·919,·923,·924,·930,·948,·969,·999,·1003,·1004,·1011,·1032,·1055,·1084,·1088,·1089,·1095,·1111,·1139,·1143,·1144,·1150,·1167,·1185,·1213,·1217,·1218,·1225,·1253,·1257,·1258,·1356,·1380,·1400,·1432,·1447,·1451,·1452,·1460,·1472,·1473,·1474,·1475,·1540,·1581,·1586,·1587,·1771,·1964,·2011,·2015,·2016,·2105,·2141,·2145,·2146,·2170,·2181,·2185,·2186,·2187,·2251,·2300,·2319,·2337,·2351,·2356,·2387,·2407,·2411,·2412,·2417,·2432,·2447,·2448,·2468,·2480,·2498,·2500,·2503,·2505,·2506,·2578,·2605,·2609,·2610,·2631,·2651,·2669,·2686,·2695,·2709,·2710,·2712,·2738,·2743,·2744,·2763,·2775,·2776,·2778,·2802,·2807,·2808,·2810,·2861,·2883,·2884,·2915,·2929,·2933,·2934,·2950,·2959,·2971,·2972,·2974,·3000,·3005,·3006,·3073,·3113,·3115,·3121,·3122,·3127,·3138,·3139,·3227,·3241,·3245,·3246,·3259,·3260,·3284,·3285,·3309,·3310,·3334,·3335,·3365,·3366,·3390,·3391,·3421,·3422,·3446,·3447,·3503,·3517,·3521,·3522,·3564,·3581,·3585,·3586,·3587,·3596,·3608,·3609,·3636,·3641,·3642,·3666,·3702,·3714,·3725,·3800,·3898,·3900,·3905,·3907,·3908,·3909,·3910,·3916,·3917,·3918,·3983,·3984,·3985,·3986,·3987,·3993,·3997,·4008,·4009,·4010,·4011,·4012,·4013,·4014,·4015,·4016,·4017,·4018,·4019,·4020,·4021,·4024,·4025,·4027,·4043,·4044,·4084,·4086,·4087,·4088,·4090,·4091,·4107,·4111,·4248,·4249,·4250,·4251,·4252,·4253,·4274,·4308,·4331,·4338,·4339,·4387,·4410,·4417,·4418,·4458,·4473,·4496,·4503,·4504,·4580,·4613,·4615,·4620,·4621,·4769,·4789,·4791,·4796,·4797,·4807,·4818,·4826,·4895,·5028,·5058,·5060,·5065,·5066,·5090,·5135,·5166,·5168,·5173,·5174,·5238,·5266,·5268,·5273,·5274,·5548,·5576,·5578,·5583,·5584,·5711,·5744,·5746,·5751,·5752,·5930,·5963,·5965,·5971,·5972,·5975,·5976,·5979,·5980,·6044,·6072,·6074,·6079,·6080,·6087,·6091,·6102,·6103,·6118,·6120,·6231,·6329,·6411,·6416,·6426,·6429,·6435,·6436,·6437,·6444,·6446,·6448,·6450,·6455,·6460],254 ········"f":·[1,·5,·34,·46,·71,·85,·89,·90,·94,·106,·116,·120,·121,·144,·147,·185,·187,·188,·191,·193,·201,·203,·206,·210,·214,·219,·227,·228,·231,·232,·234,·235,·243,·244,·246,·257,·258,·264,·265,·277,·287,·291,·292,·299,·300,·301,·302,·303,·304,·305,·306,·310,·324,·336,·349,·359,·363,·364,·370,·387,·406,·434,·438,·439,·445,·464,·492,·496,·497,·503,·522,·550,·554,·555,·561,·579,·607,·611,·612,·618,·634,·662,·666,·667,·673,·689,·715,·719,·720,·726,·747,·777,·781,·782,·789,·812,·841,·845,·846,·852,·872,·890,·919,·923,·924,·930,·948,·969,·999,·1003,·1004,·1011,·1032,·1055,·1084,·1088,·1089,·1095,·1111,·1139,·1143,·1144,·1150,·1167,·1185,·1213,·1217,·1218,·1225,·1253,·1257,·1258,·1356,·1380,·1400,·1432,·1447,·1451,·1452,·1460,·1472,·1473,·1474,·1475,·1540,·1581,·1586,·1587,·1771,·1964,·2011,·2015,·2016,·2105,·2141,·2145,·2146,·2170,·2181,·2185,·2186,·2187,·2251,·2300,·2319,·2337,·2351,·2356,·2387,·2407,·2411,·2412,·2417,·2432,·2447,·2448,·2468,·2480,·2498,·2500,·2503,·2505,·2506,·2578,·2605,·2609,·2610,·2631,·2651,·2669,·2686,·2695,·2709,·2710,·2712,·2738,·2743,·2744,·2763,·2775,·2776,·2778,·2802,·2807,·2808,·2810,·2861,·2883,·2884,·2915,·2929,·2933,·2934,·2950,·2959,·2971,·2972,·2974,·3000,·3005,·3006,·3073,·3113,·3115,·3121,·3122,·3127,·3138,·3139,·3227,·3241,·3245,·3246,·3259,·3260,·3284,·3285,·3309,·3310,·3334,·3335,·3365,·3366,·3390,·3391,·3421,·3422,·3446,·3447,·3503,·3517,·3521,·3522,·3564,·3581,·3585,·3586,·3587,·3596,·3608,·3609,·3636,·3641,·3642,·3666,·3702,·3714,·3725,·3800,·3898,·3900,·3905,·3907,·3908,·3909,·3910,·3916,·3917,·3918,·3983,·3984,·3985,·3986,·3987,·3993,·3997,·4008,·4009,·4010,·4011,·4012,·4013,·4014,·4015,·4016,·4017,·4018,·4019,·4020,·4021,·4024,·4025,·4027,·4043,·4044,·4084,·4086,·4087,·4088,·4090,·4091,·4107,·4111,·4248,·4249,·4250,·4251,·4252,·4253,·4274,·4308,·4331,·4338,·4339,·4387,·4410,·4417,·4418,·4458,·4473,·4496,·4503,·4504,·4580,·4613,·4615,·4620,·4621,·4769,·4789,·4791,·4796,·4797,·4807,·4818,·4826,·4895,·5028,·5058,·5060,·5065,·5066,·5090,·5135,·5166,·5168,·5173,·5174,·5238,·5266,·5268,·5273,·5274,·5548,·5576,·5578,·5583,·5584,·5711,·5744,·5746,·5751,·5752,·5930,·5963,·5965,·5971,·5972,·5975,·5976,·5979,·5980,·6044,·6072,·6074,·6079,·6080,·6087,·6091,·6102,·6103,·6118,·6120,·6231,·6329,·6411,·6416,·6426,·6429,·6435,·6436,·6437,·6444,·6446,·6448,·6450,·6455,·6460],
255 ········"pr":·[1,·177,·206,·3800,·6432,·6433,·6434,·6435,·6436,·6437,·6438,·6439,·6440,·6441,·6442,·6444,·6445,·6446,·6447,·6450],255 ········"pr":·[1,·177,·206,·3800,·6432,·6433,·6434,·6435,·6436,·6437,·6438,·6439,·6440,·6441,·6442,·6444,·6445,·6446,·6447,·6450],
256 ········"11":·[1,·4,·5,·6,·19,·34,·90,·121,·177,·185,·188,·193,·196,·197,·198,·199,·201,·202,·203,·204,·205,·206,·207,·209,·211,·213,·216,·217,·218,·219,·220,·222,·224,·225,·226,·227,·228,·229,·232,·233,·234,·236,·238,·241,·243,·246,·250,·252,·254,·255,·256,·257,·259,·260,·262,·263,·267,·268,·292,·364,·439,·497,·555,·612,·667,·720,·782,·846,·924,·1004,·1089,·1144,·1218,·1258,·1452,·1528,·1587,·1809,·1922,·2004,·2016,·2020,·2049,·2146,·218[·...·truncated·by·diffoscope;·len:·295,·SHA:·8b35bc1703b116a017f70fb57a054a3cedcd523c9d85388e212160dad84dde7d·...·],·6430,·6439,·6442,·6444,·6446,·6460],256 ········"11":·[1,·4,·5,·6,·19,·34,·90,·121,·177,·185,·188,·193,·196,·197,·198,·199,·201,·202,·203,·204,·205,·206,·207,·209,·211,·213,·216,·217,·218,·219,·220,·222,·224,·225,·226,·227,·229,·232,·233,·234,·236,·238,·241,·243,·246,·250,·252,·254,·255,·256,·257,·259,·260,·262,·263,·267,·268,·292,·364,·439,·497,·555,·612,·667,·720,·782,·846,·924,·1004,·1089,·1144,·1218,·1258,·1452,·1528,·1587,·1809,·1922,·2004,·2016,·2020,·2049,·2146,·2186,·21[·...·truncated·by·diffoscope;·len:·278,·SHA:·8f1d8bb383865c988d14b660b17ef73a962bd3700d54b778be3d92f222370e13·...·],·6430,·6439,·6442,·6444,·6446,·6460],
257 ········"614700":·1,257 ········"614700":·1,
258 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261 ········"212":·[1,·198,·207,·217,·234,·236,·252,·260,·4961],261 ········"212":·[1,·198,·207,·217,·234,·236,·252,·260,·4961],
262 ········"213778":·1,262 ········"213778":·1,
263 ········"10":·[1,·4,·5,·6,·15,·25,·26,·29,·34,·71,·106,·175,·177,·183,·185,·188,·190,·191,·192,·193,·194,·196,·197,·198,·199,·201,·202,·203,·204,·205,·206,·207,·208,·209,·210,·211,·212,·213,·214,·216,·217,·218,·219,·220,·221,·222,·224,·225,·226,·227,·228,·229,·230,·231,·232,·233,·234,·235,·236,·237,·238,·239,·243,·244,·245[·...·truncated·by·diffoscope;·len:·90,·SHA:·6e895b712af7dcaf89cdba2b450a81a20a8e07c57e775c613963d4c783296a11·...·],·277,·304,·349,·406,·464,·522,·579,·634,·689,·747,·812,·890,·969,·1055,·1111,·1185,·1225,·1264,·1273,·1290,·1300,·1314,·1324,·1335,·1347,·1356,·1432,·1473,·1540,·1927,·1929,·1964,·1985,·2025,·2027,·2054,·2056,·2105,·2170,·2193,·2198,·2208,·2210,·2213,·2226,·2231,·2233,·2235,·2251,·2387,·2481,·2522,·2523,·2524,·2526,·2527,·2529,·2531,·2533,·2534,·2536,·2537,·2539,·2541,·2543,·2545,·2562,·2578,·2651,·2669,·2710,·2776,·2836,·2861,·2915,·2972,·3019,·3028,·3030,·3073,·3080,·3094,·3098,·3117,·3182,·3227,·3248,·3481,·3503,·3539,·3564,·3609,·3648,·3670,·3722,·3725,·3729,·3730,·3733,·3734,·3751,·3777,·3779,·3881,·3883,·3884,·3886,·3888,·3896,·3899,·3902,·3911,·3912,·3913,·3914,·3924,·3930,·3933,·3983,·3984,·3985,·3986,·3987,·3999,·4011,·4013,·4015,·4017,·4038,·4053,·4073,·4118,·4123,·4135,·4138,·4139,·4140,·4141,·4142,·4143,·4144,·4146,·4147,·4163,·4164,·4253,·4308,·4320,·4335,·4387,·4399,·4414,·4458,·4473,·4485,·4500,·4517,·4531,·4533,·4580,·4587,·4599,·4601,·4617,·4633,·4643,·4644,·4646,·4647,·4769,·4793,·4802,·4803,·4818,·4954,·4977,·4986,·4988,·5028,·5036,·5045,·5048,·5062,·5068,·5081,·5091,·5094,·5135,·5144,·5153,·5156,·5170,·5187,·5197,·5199,·5238,·5245,·5254,·5256,·5270,·5278,·5287,·5306,·5341,·5342,·5344,·5345,·5367,·5384,·5403,·5438,·5439,·5441,·5442,·5444,·5477,·5498,·5507,·5509,·5548,·5555,·5564,·5566,·5580,·5595,·5618,·5648,·5662,·5664,·5711,·5718,·5730,·5732,·5748,·5772,·5792,·5827,·5828,·5830,·5831,·5833,·5876,·5886,·5888,·5930,·5938,·5948,·5951,·5967,·5994,·6003,·6005,·6044,·6051,·6060,·6062,·6076,·6082,·6084,·6090,·6092,·6094,·6095,·6097,·6098,·6099,·6100,·6102,·6103,·6126,·6130,·6140,·6141,·6167,·6170,·6171,·6174,·6187,·6197,·6198,·6199,·6203,·6206,·6208,·6210,·6225,·6230,·6234,·6241,·6268,·6271,·6272,·6287,·6297,·6298,·6299,·6303,·6306,·6308,·6310,·6332,·6375,·6377,·6378,·6399,·6411,·6416,·6417,·6421,·6426,·6430,·6435,·6437,·6439,·6440,·6444,·6446,·6447,·6454,·6460],263 ········"10":·[1,·4,·5,·6,·15,·25,·26,·29,·34,·71,·106,·175,·177,·185,·188,·190,·191,·192,·193,·194,·196,·197,·198,·199,·201,·202,·203,·204,·205,·206,·207,·209,·210,·211,·212,·213,·214,·216,·217,·218,·219,·220,·221,·222,·224,·225,·226,·227,·228,·229,·230,·231,·232,·233,·234,·235,·236,·237,·238,·239,·243,·244,·245,·246,·247[·...·truncated·by·diffoscope;·len:·75,·SHA:·276fd808af942bd72f1e477a83d091dfc8d7e20a81945bb715164a3163e58098·...·],·277,·304,·349,·406,·464,·522,·579,·634,·689,·747,·812,·890,·969,·1055,·1111,·1185,·1225,·1264,·1273,·1290,·1300,·1314,·1324,·1335,·1347,·1356,·1432,·1473,·1540,·1927,·1929,·1964,·1985,·2025,·2027,·2054,·2056,·2105,·2170,·2193,·2198,·2208,·2210,·2213,·2226,·2231,·2233,·2235,·2251,·2387,·2481,·2522,·2523,·2524,·2526,·2527,·2529,·2531,·2533,·2534,·2536,·2537,·2539,·2541,·2543,·2545,·2562,·2578,·2651,·2669,·2710,·2776,·2836,·2861,·2915,·2972,·3019,·3028,·3030,·3073,·3080,·3094,·3098,·3117,·3182,·3227,·3248,·3481,·3503,·3539,·3564,·3609,·3648,·3670,·3722,·3725,·3729,·3730,·3733,·3734,·3751,·3777,·3779,·3881,·3883,·3884,·3886,·3888,·3896,·3899,·3902,·3911,·3912,·3913,·3914,·3924,·3930,·3933,·3983,·3984,·3985,·3986,·3987,·3999,·4011,·4013,·4015,·4017,·4038,·4053,·4073,·4118,·4123,·4135,·4138,·4139,·4140,·4141,·4142,·4143,·4144,·4146,·4147,·4163,·4164,·4253,·4308,·4320,·4335,·4387,·4399,·4414,·4458,·4473,·4485,·4500,·4517,·4531,·4533,·4580,·4587,·4599,·4601,·4617,·4633,·4643,·4644,·4646,·4647,·4769,·4793,·4802,·4803,·4818,·4954,·4977,·4986,·4988,·5028,·5036,·5045,·5048,·5062,·5068,·5081,·5091,·5094,·5135,·5144,·5153,·5156,·5170,·5187,·5197,·5199,·5238,·5245,·5254,·5256,·5270,·5278,·5287,·5306,·5341,·5342,·5344,·5345,·5367,·5384,·5403,·5438,·5439,·5441,·5442,·5444,·5477,·5498,·5507,·5509,·5548,·5555,·5564,·5566,·5580,·5595,·5618,·5648,·5662,·5664,·5711,·5718,·5730,·5732,·5748,·5772,·5792,·5827,·5828,·5830,·5831,·5833,·5876,·5886,·5888,·5930,·5938,·5948,·5951,·5967,·5994,·6003,·6005,·6044,·6051,·6060,·6062,·6076,·6082,·6084,·6090,·6092,·6094,·6095,·6097,·6098,·6099,·6100,·6102,·6103,·6126,·6130,·6140,·6141,·6167,·6170,·6171,·6174,·6187,·6197,·6198,·6199,·6203,·6206,·6208,·6210,·6225,·6230,·6234,·6241,·6268,·6271,·6272,·6287,·6297,·6298,·6299,·6303,·6306,·6308,·6310,·6332,·6375,·6377,·6378,·6399,·6411,·6416,·6417,·6421,·6426,·6430,·6435,·6437,·6439,·6440,·6444,·6446,·6447,·6454,·6460],
264 ········"120692":·1,264 ········"120692":·1,
265 ········"002874":·1,265 ········"002874":·1,
266 ········"175":·[1,·227,·4276],266 ········"175":·[1,·227,·4276],
267 ········"488928":·1,267 ········"488928":·1,
268 ········"184623":·1,268 ········"184623":·1,
269 ········"022572":·1,269 ········"022572":·1,
270 ········"residu":·[1,·4,·34,·182,·183,·188,·191,·193,·196,·199,·203,·204,·206,·207,·208,·209,·210,·211,·212,·214,·220,·221,·222,·226,·227,·228,·229,·230,·233,·234,·257,·265,·267,·410,·426,·427,·428,·468,·484,·485,·486,·526,·542,·543,·544,·599,·600,·601,·654,·655,·656,·708,·709,·769,·770,·771,·832,·833,·834,·835,·911,·912,·913,·991,·992,·993,·1075,·1076,·1077,·1078,·1131,·1132,·1133,·1205,·1206,·1207,·1245,·1246,·1247,·1424,·1425,·1437,·1443,·1444,·1523,·1561,·1562,·1563,·1564,·1565,·1570,·1571,·1572,·1573,·1574,·1575,·1576,·1660,·1703,·1704,·1718,·1719,·1732,·1733,·1748,·1749,·1764,·1765,·1780,·1781,·1796,·1797,·1811,·1812,·1927,·1943,·1960,·1982,·1983,·1984,·1985,·1986,·1992,·1993,·1994,·1995,·1996,·1997,·1998,·1999,·2000,·2001,·2002,·2006,·2007,·2025,·2041,·2054,·2070,·2075,·2093,·2122,·2123,·2124,·2125,·2130,·2131,·2132,·2133,·2134,·2135,·2136,·2198,·2208,·2213,·2214,·2215,·2216,·2218,·2221,·2223,·2375,·2403,·2480,·2484,·2544,·2566,·2583,·2599,·2600,·2634,·2636,·2639,·2640,·2651,·2653,·2656,·2657,·2671,·2674,·2675,·2686,·2695,·2696,·2697,·2708,·2712,·2714,·2721,·2725,·2729,·2730,·2735,·2745,·2746,·2754,·2763,·2764,·2765,·2774,·2778,·2779,·2786,·2793,·2794,·2799,·2809,·2812,·2815,·2816,·2823,·2827,·2828,·2875,·2935,·2937,·2950,·2959,·2960,·2961,·2970,·2974,·2975,·2983,·2991,·2992,·2997,·3007,·3008,·3069,·3070,·3085,·3086,·3098,·3104,·3105,·3115,·3116,·3117,·3127,·3136,·3137,·3139,·3145,·3155,·3208,·3212,·3220,·3557,·3577,·3587,·3596,·3597,·3598,·3607,·3612,·3619,·3626,·3627,·3633,·3643,·3753,·3798,·3800,·3801,·3812,·3813,·3829,·3839,·3840,·3843,·3865,·3869,·3898,·3899,·3900,·3902,·3907,·3908,·3909,·3910,·3915,·3916,·3917,·3920,·3921,·3937,·3957,·3959,·4010,·4015,·4038,·4039,·4040,·4041,·4042,·4043,·4053,·4054,·4055,·4056,·4057,·4058,·4066,·4067,·4070,·4073,·4074,·4075,·4076,·4077,·4078,·4079,·4081,·4176,·4178,·4230,·4232,·4235,·4237,·4294,·4306,·4307,·4320,·4325,·4333,·4334,·4335,·4373,·4385,·4386,·4399,·4404,·4412,·4413,·4414,·4450,·4458,·4471,·4472,·4485,·4490,·4498,·4499,·4500,·4601,·4605,·4615,·4616,·4617,·4791,·4792,·4793,·4807,·4808,·4825,·4832,·4837,·4850,·4860,·4876,·4885,·4946,·4949,·4950,·4955,·4956,·4958,·5048,·5052,·5060,·5061,·5062,·5118,·5156,·5160,·5168,·5169,·5170,·5222,·5256,·5260,·5268,·5269,·5270,·5279,·5376,·5483,·5566,·5570,·5578,·5579,·5580,·5732,·5736,·5746,·5747,·5748,·5951,·5956,·5965,·5966,·5967,·6062,·6066,·6074,·6075,·6076,·6082,·6086,·6087,·6090,·6098,·6106,·6124,·6208,·6216,·6219,·6234,·6258,·6308,·6316,·6319,·6332,·6339,·6350,·6351,·6365,·6387,·6399,·6411,·6412,·6416,·6428,·6429,·6437,·6444,·6446,·6447,·6448,·6449,·6458],270 ········"residu":·[1,·4,·34,·182,·183,·188,·191,·193,·196,·199,·203,·204,·206,·207,·208,·209,·210,·211,·212,·214,·220,·221,·222,·226,·227,·228,·229,·230,·233,·234,·257,·265,·267,·410,·426,·427,·428,·468,·484,·485,·486,·526,·542,·543,·544,·599,·600,·601,·654,·655,·656,·708,·709,·769,·770,·771,·832,·833,·834,·835,·911,·912,·913,·991,·992,·993,·1075,·1076,·1077,·1078,·1131,·1132,·1133,·1205,·1206,·1207,·1245,·1246,·1247,·1424,·1425,·1437,·1443,·1444,·1523,·1561,·1562,·1563,·1564,·1565,·1570,·1571,·1572,·1573,·1574,·1575,·1576,·1660,·1703,·1704,·1718,·1719,·1732,·1733,·1748,·1749,·1764,·1765,·1780,·1781,·1796,·1797,·1811,·1812,·1927,·1943,·1960,·1982,·1983,·1984,·1985,·1986,·1992,·1993,·1994,·1995,·1996,·1997,·1998,·1999,·2000,·2001,·2002,·2006,·2007,·2025,·2041,·2054,·2070,·2075,·2093,·2122,·2123,·2124,·2125,·2130,·2131,·2132,·2133,·2134,·2135,·2136,·2198,·2208,·2213,·2214,·2215,·2216,·2218,·2221,·2223,·2375,·2403,·2480,·2484,·2544,·2566,·2583,·2599,·2600,·2634,·2636,·2639,·2640,·2651,·2653,·2656,·2657,·2671,·2674,·2675,·2686,·2695,·2696,·2697,·2708,·2712,·2714,·2721,·2725,·2729,·2730,·2735,·2745,·2746,·2754,·2763,·2764,·2765,·2774,·2778,·2779,·2786,·2793,·2794,·2799,·2809,·2812,·2815,·2816,·2823,·2827,·2828,·2875,·2935,·2937,·2950,·2959,·2960,·2961,·2970,·2974,·2975,·2983,·2991,·2992,·2997,·3007,·3008,·3069,·3070,·3085,·3086,·3098,·3104,·3105,·3115,·3116,·3117,·3127,·3136,·3137,·3139,·3145,·3155,·3208,·3212,·3220,·3557,·3577,·3587,·3596,·3597,·3598,·3607,·3612,·3619,·3626,·3627,·3633,·3643,·3753,·3798,·3800,·3801,·3812,·3813,·3829,·3839,·3840,·3843,·3865,·3869,·3898,·3899,·3900,·3902,·3907,·3908,·3909,·3910,·3915,·3916,·3917,·3920,·3921,·3937,·3957,·3959,·4010,·4015,·4038,·4039,·4040,·4041,·4042,·4043,·4053,·4054,·4055,·4056,·4057,·4058,·4066,·4067,·4070,·4073,·4074,·4075,·4076,·4077,·4078,·4079,·4081,·4176,·4178,·4230,·4232,·4235,·4237,·4294,·4306,·4307,·4320,·4325,·4333,·4334,·4335,·4373,·4385,·4386,·4399,·4404,·4412,·4413,·4414,·4450,·4458,·4471,·4472,·4485,·4490,·4498,·4499,·4500,·4601,·4605,·4615,·4616,·4617,·4791,·4792,·4793,·4807,·4808,·4825,·4832,·4837,·4850,·4860,·4876,·4885,·4946,·4949,·4950,·4955,·4956,·4958,·5048,·5052,·5060,·5061,·5062,·5118,·5156,·5160,·5168,·5169,·5170,·5222,·5256,·5260,·5268,·5269,·5270,·5279,·5376,·5483,·5566,·5570,·5578,·5579,·5580,·5732,·5736,·5746,·5747,·5748,·5951,·5956,·5965,·5966,·5967,·6062,·6066,·6074,·6075,·6076,·6082,·6086,·6087,·6090,·6098,·6106,·6124,·6208,·6216,·6219,·6234,·6258,·6308,·6316,·6319,·6332,·6339,·6350,·6351,·6365,·6387,·6399,·6411,·6412,·6416,·6428,·6429,·6437,·6444,·6446,·6447,·6448,·6449,·6458],