From 9d685b33ed2e5b6b4b99428d876317361253d468 Mon Sep 17 00:00:00 2001 From: Johannes Buchner Date: Wed, 29 May 2024 23:27:45 +0200 Subject: [PATCH] update doc --- _images/debugging_11_0.svg | 378 +- _images/debugging_17_0.svg | 160 +- _images/debugging_38_0.svg | 43096 +++-- _images/debugging_40_0.svg | 12469 +- _images/debugging_43_0.svg | 42103 +++-- _images/debugging_50_0.svg | 1444 +- _images/debugging_52_0.svg | 1289 +- .../example-intrinsic-distribution_16_0.svg | 94 +- .../example-intrinsic-distribution_16_1.svg | 94 +- .../example-intrinsic-distribution_17_3.svg | 94 +- .../example-intrinsic-distribution_17_4.svg | 94 +- .../example-intrinsic-distribution_20_0.svg | 216 +- .../example-intrinsic-distribution_3_0.svg | 138 +- .../example-intrinsic-distribution_6_0.svg | 72 +- _images/example-line_16_0.png | Bin 102818 -> 0 bytes _images/example-line_16_0.svg | 3922 + _images/example-line_16_1.png | Bin 102818 -> 0 bytes _images/example-line_16_1.svg | 3922 + 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clip-path="url(#pd9a850d078)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p5fff74f990)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p5fff74f990)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p5fff74f990)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p5fff74f990)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> + - + - + diff --git a/_images/example-intrinsic-distribution_17_4.svg b/_images/example-intrinsic-distribution_17_4.svg index d2b1886d..b4243802 100644 --- a/_images/example-intrinsic-distribution_17_4.svg +++ b/_images/example-intrinsic-distribution_17_4.svg @@ -6,7 +6,7 @@ - 2024-05-29T21:38:59.231396 + 2024-05-29T23:19:37.292128 image/svg+xml @@ -41,53 +41,53 @@ z - - + - + - + - + - + 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style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p593231cf67)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p593231cf67)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p593231cf67)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> + - + - + diff --git a/_images/example-intrinsic-distribution_20_0.svg b/_images/example-intrinsic-distribution_20_0.svg index a6a1b9eb..d0516856 100644 --- a/_images/example-intrinsic-distribution_20_0.svg +++ b/_images/example-intrinsic-distribution_20_0.svg @@ -6,7 +6,7 @@ - 2024-05-29T21:38:59.647817 + 2024-05-29T23:19:37.566220 image/svg+xml @@ -41,17 +41,17 @@ z - - + - + @@ -126,12 +126,12 @@ z - + - + @@ -201,12 +201,12 @@ z - + - + @@ -221,12 +221,12 @@ z - + - + @@ -280,12 +280,12 @@ z - + - + @@ 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style="fill: none; stroke: #ffa500; stroke-width: 1.5"/> +" clip-path="url(#pe6a7a379fe)" style="fill: none; stroke: #ffa500; stroke-width: 1.5"/> +" clip-path="url(#pe6a7a379fe)" style="fill: none; stroke: #ffa500; stroke-width: 1.5"/> - - - - - - - - - - - - + + + + + + + + + + + - - - - - - - - - - - + + + + + + + + + + + - - - - - - - - - - - - + + + + + + + + + + + @@ -718,7 +718,7 @@ z - - - + + - + - + @@ -1552,12 +1552,12 @@ z - + - + @@ -1572,12 +1572,12 @@ z - + - + @@ -1592,12 +1592,12 @@ z - + - + @@ -1612,12 +1612,12 @@ z - + - + @@ -1630,12 +1630,12 @@ z - + - + @@ -1649,12 +1649,12 @@ z - + - + @@ -1668,12 +1668,12 @@ z - + - + @@ -1687,12 +1687,12 @@ z - + - + @@ -2049,12 +2049,12 @@ z - + - + @@ -2079,12 +2079,12 @@ z - + - + @@ -2100,12 +2100,12 @@ z - + - + @@ -2121,12 +2121,12 @@ z - + - + @@ -2223,7 +2223,7 @@ L 274.463 269.515093 L 288.783602 269.562609 L 389.027813 269.563818 L 389.027813 269.563818 -" clip-path="url(#p2f62950b9c)" style="fill: none; stroke: 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0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p827bee4540)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p4f35d89fea)" style="fill: #ffffff"/> - + - + @@ -3028,12 +3028,12 @@ z - + - + @@ -3046,12 +3046,12 @@ z - + - + @@ -3064,12 +3064,12 @@ z - + - + @@ -3090,12 +3090,12 @@ z - + - + @@ -3119,12 +3119,12 @@ z - + - + @@ -3139,12 +3139,12 @@ z - + - + @@ -3159,12 +3159,12 @@ z - + - + @@ -3312,7 +3312,7 @@ L 199.85 521.028217 L 199.562739 524.52 L 199.85 525.157668 z -" clip-path="url(#p57d558c4e2)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p4f35d89fea)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p4f35d89fea)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p4f35d89fea)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p4f35d89fea)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pf7eca239d9)" style="fill: #ffffff"/> - + - + @@ -3606,12 +3606,12 @@ z - + - + @@ -3624,12 +3624,12 @@ z - + - + @@ -3642,12 +3642,12 @@ z - + - + @@ -3669,48 +3669,48 @@ z - + - + - + - + - + - + - + - + @@ -3869,7 +3869,7 @@ L 343.85 516.952857 L 343.24022 517.32 L 343.85 518.368468 z -" clip-path="url(#pfde9917536)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pf7eca239d9)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pf7eca239d9)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pf7eca239d9)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pf7eca239d9)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p94987abbe2)" style="fill: #ffffff"/> - + - + @@ -4290,12 +4290,12 @@ z - + - + @@ -4309,12 +4309,12 @@ z - + - + @@ -4328,12 +4328,12 @@ z - + - + @@ -4356,48 +4356,48 @@ z - + - + - + - + - + - + - + - + @@ -4661,7 +4661,7 @@ L 492.726667 474.12 L 492.726667 481.32 L 495.05 483.643333 z -" clip-path="url(#p4cb64e9891)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p94987abbe2)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p94987abbe2)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p94987abbe2)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + @@ -4938,12 +4938,12 @@ z - + - + @@ -4958,12 +4958,12 @@ z - + - + @@ -4978,12 +4978,12 @@ z - + - + @@ -5047,22 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@@ - 2024-05-29T21:38:22.474986 + 2024-05-29T23:19:14.682145 image/svg+xml @@ -41,53 +41,53 @@ z - - + - + - + - + - + - + - + - + @@ -136,22 +136,22 @@ L 196.25 168.095263 L 196.25 168.010363 L 203.45 168.010363 L 203.45 168.12 -" clip-path="url(#p3f44800fd2)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p78c584044a)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p78c584044a)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p78c584044a)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p78c584044a)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pc234dfd4a4)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -548,17 +548,17 @@ z - - + - + @@ -610,12 +610,12 @@ z - + - + @@ -650,12 +650,12 @@ z - + - + @@ -723,12 +723,12 @@ z - + - + @@ -943,7 +943,7 @@ L 55.211603 171.72 L 55.211603 178.92 L 55.85 179.558397 z -" clip-path="url(#pf99c55f86a)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pc234dfd4a4)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pc234dfd4a4)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#pc234dfd4a4)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -1092,22 +1092,22 @@ L 347.45 319.246978 L 347.45 319.238293 L 354.65 319.238293 L 354.65 319.32 -" clip-path="url(#p1df7094be0)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pf32edd7fb2)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pf32edd7fb2)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pf32edd7fb2)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pf32edd7fb2)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p3584d15991)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -1525,12 +1525,12 @@ z - + - + @@ -1583,12 +1583,12 @@ z - + - + @@ -1602,12 +1602,12 @@ z - + - + @@ -1621,12 +1621,12 @@ z - + - + @@ -1915,7 +1915,7 @@ L 142.25 342.287123 L 145.312438 344.52 L 142.25 346.413391 z -" clip-path="url(#p9186cd664b)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p3584d15991)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p3584d15991)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p3584d15991)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p5fb5256b65)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -2304,48 +2304,48 @@ z - + - + - + - + - + - + - + - + @@ -2598,7 +2598,7 @@ L 322.25 343.059042 L 320.789042 344.52 L 322.25 345.980958 z -" clip-path="url(#p0566103b11)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p5fb5256b65)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p5fb5256b65)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p5fb5256b65)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -2823,22 +2823,22 @@ L 498.65 470.076382 L 498.65 470.026396 L 505.85 470.026396 L 505.85 470.52 -" clip-path="url(#p2eebd32de2)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pe85e63f6db)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pe85e63f6db)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pe85e63f6db)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pe85e63f6db)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p850968577b)" style="fill: #ffffff"/> - + - + @@ -3028,12 +3028,12 @@ z - + - + @@ -3046,12 +3046,12 @@ z - + - + @@ -3064,12 +3064,12 @@ z - + - + @@ -3090,12 +3090,12 @@ z - + - + @@ -3119,12 +3119,12 @@ z - + - + @@ -3139,12 +3139,12 @@ z - + - + @@ -3159,12 +3159,12 @@ z - + - + @@ -3312,7 +3312,7 @@ L 199.85 521.028217 L 199.562739 524.52 L 199.85 525.157668 z -" clip-path="url(#pe69b159768)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p850968577b)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p850968577b)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p850968577b)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p850968577b)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p0a28dab2bc)" style="fill: #ffffff"/> - + - + @@ -3606,12 +3606,12 @@ z - + - + @@ -3624,12 +3624,12 @@ z - + - + @@ -3642,12 +3642,12 @@ z - + - + @@ -3669,48 +3669,48 @@ z - + - + - + - + - + - + - + - + @@ -3869,7 +3869,7 @@ L 343.85 516.952857 L 343.24022 517.32 L 343.85 518.368468 z -" clip-path="url(#p2c094fb171)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p0a28dab2bc)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p0a28dab2bc)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p0a28dab2bc)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p0a28dab2bc)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pb05734d2e0)" style="fill: #ffffff"/> - + - + @@ -4290,12 +4290,12 @@ z - + - + @@ -4309,12 +4309,12 @@ z - + - + @@ -4328,12 +4328,12 @@ z - + - + @@ -4356,48 +4356,48 @@ z - + - + - + - + - + - + - + - + @@ -4661,7 +4661,7 @@ L 492.726667 474.12 L 492.726667 481.32 L 495.05 483.643333 z -" clip-path="url(#pabda6188de)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pb05734d2e0)" style="fill: none; stroke: #000080; 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clip-path="url(#p8f3ca238b0)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + - + diff --git a/_images/example-sine-bayesian-workflow_6_1.svg b/_images/example-sine-bayesian-workflow_6_1.svg index 3edc982f..c8678851 100644 --- a/_images/example-sine-bayesian-workflow_6_1.svg +++ b/_images/example-sine-bayesian-workflow_6_1.svg @@ -6,7 +6,7 @@ - 2024-05-29T21:37:29.309199 + 2024-05-29T23:18:39.591376 image/svg+xml @@ -41,17 +41,17 @@ z - - + - + @@ -103,12 +103,12 @@ z - + - + @@ -136,12 +136,12 @@ z - + - + @@ -193,12 +193,12 @@ z - + - + @@ -258,12 +258,12 @@ z - + - + @@ -298,12 +298,12 @@ z - + - + @@ -380,17 +380,17 @@ z - - + - + @@ -413,12 +413,12 @@ z - + - + @@ -431,12 +431,12 @@ z - + - + @@ -449,12 +449,12 @@ z - + - + @@ -499,271 +499,271 @@ z +" clip-path="url(#p33ee4b8d9a)" style="fill: none; stroke: #ffa500; stroke-width: 1.5"/> +" clip-path="url(#p33ee4b8d9a)" style="fill: none; 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none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p6c21df3b28)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -523,17 +523,17 @@ z - - + - + @@ -639,12 +639,12 @@ z - + - + @@ -714,12 +714,12 @@ z - + - + @@ -793,12 +793,12 @@ z - + - + @@ -813,12 +813,12 @@ z - + - + @@ -1010,7 +1010,7 @@ L 99.05 207.061924 L 99.58463 207.72 L 99.05 207.934679 z -" clip-path="url(#pde25a3e701)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6c21df3b28)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6c21df3b28)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6c21df3b28)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6c21df3b28)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> - + - + - + - + - + - + - + - + - + - + @@ -1259,22 +1259,22 @@ L 347.45 319.238964 L 347.45 319.305989 L 354.65 319.305989 L 354.65 319.32 -" clip-path="url(#pa33e566437)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p9ae6213a20)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p9ae6213a20)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p9ae6213a20)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p9ae6213a20)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p1e2477de81)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -1569,12 +1569,12 @@ z - + - + @@ -1642,12 +1642,12 @@ z - + - + @@ -1662,12 +1662,12 @@ z - + - + @@ -1682,12 +1682,12 @@ z - + - + @@ -1702,12 +1702,12 @@ z - + - + @@ -1847,7 +1847,7 @@ L 171.05 380.501125 L 171.129226 380.52 L 171.05 380.52525 z -" clip-path="url(#p3b2743193f)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1e2477de81)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1e2477de81)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1e2477de81)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1e2477de81)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p3c97258a9b)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -2157,60 +2157,60 @@ z - + - + - + - + - + - + - + - + - + - + @@ -2324,7 +2324,7 @@ L 300.65 347.740743 L 296.670743 351.72 L 300.65 356.089795 z -" clip-path="url(#pd1ef2d1f2c)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p3c97258a9b)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p3c97258a9b)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p3c97258a9b)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p3c97258a9b)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> - + - + - + - + - + - + - + - + - + - + @@ -2575,22 +2575,22 @@ L 498.65 470.479093 L 498.65 470.497413 L 505.85 470.497413 L 505.85 470.52 -" clip-path="url(#p076131ff1a)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pbd270f2c9d)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pbd270f2c9d)" style="fill: none; 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clip-path="url(#pf0fd5e05a4)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + - + diff --git a/_images/example-sine-highd_21_1.svg b/_images/example-sine-highd_21_1.svg index a5dfc222..78c7dfb4 100644 --- a/_images/example-sine-highd_21_1.svg +++ b/_images/example-sine-highd_21_1.svg @@ -6,7 +6,7 @@ - 2024-05-29T21:40:15.403386 + 2024-05-29T23:20:28.468714 image/svg+xml @@ -41,53 +41,53 @@ z - - + - + - + - + - + - + - + - + @@ -136,22 +136,22 @@ L 196.25 168.062472 L 196.25 168.106678 L 203.45 168.106678 L 203.45 168.12 -" clip-path="url(#p5e9b159c13)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p0aa0b20367)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p0aa0b20367)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p0aa0b20367)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p0aa0b20367)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p032e64d84e)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -523,17 +523,17 @@ z - - + - + @@ -639,12 +639,12 @@ z - + - + @@ -714,12 +714,12 @@ z - + - + @@ -793,12 +793,12 @@ z - + - + @@ -813,12 +813,12 @@ z - + - + @@ -1010,7 +1010,7 @@ L 99.05 207.061924 L 99.58463 207.72 L 99.05 207.934679 z -" clip-path="url(#p9b88fe8eb8)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p032e64d84e)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p032e64d84e)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p032e64d84e)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p032e64d84e)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> - + - + - + - + - + - + - + - + - + - + @@ -1259,22 +1259,22 @@ L 347.45 319.238964 L 347.45 319.305989 L 354.65 319.305989 L 354.65 319.32 -" clip-path="url(#p48ad2fc9e6)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p59130e7189)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p59130e7189)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p59130e7189)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p59130e7189)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p2b35c0119e)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -1569,12 +1569,12 @@ z - + - + @@ -1642,12 +1642,12 @@ z - + - + @@ -1662,12 +1662,12 @@ z - + - + @@ -1682,12 +1682,12 @@ z - + - + @@ -1702,12 +1702,12 @@ z - + - + @@ -1847,7 +1847,7 @@ L 171.05 380.501125 L 171.129226 380.52 L 171.05 380.52525 z -" clip-path="url(#p8385ea4730)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p2b35c0119e)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p2b35c0119e)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p2b35c0119e)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p2b35c0119e)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p92028227ec)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -2157,60 +2157,60 @@ z - + - + - + - + - + - + - + - + - + - + @@ -2324,7 +2324,7 @@ L 300.65 347.740743 L 296.670743 351.72 L 300.65 356.089795 z -" clip-path="url(#p9f355874a7)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p92028227ec)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p92028227ec)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p92028227ec)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p92028227ec)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> - + - + - + - + - + - + - + - + - + - + @@ -2575,22 +2575,22 @@ L 498.65 470.479093 L 498.65 470.497413 L 505.85 470.497413 L 505.85 470.52 -" clip-path="url(#p8e23427c62)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p79d82132d9)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p79d82132d9)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p79d82132d9)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p79d82132d9)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p1b2f0a632b)" style="fill: #ffffff"/> - + - + @@ -2755,12 +2755,12 @@ z - + - + @@ -2775,12 +2775,12 @@ z - + - + @@ -2795,12 +2795,12 @@ z - + - + @@ -2862,12 +2862,12 @@ z - + - + @@ -2882,12 +2882,12 @@ z - + - + @@ -2902,12 +2902,12 @@ z - + - + @@ -2922,12 +2922,12 @@ z - + - + @@ -3045,7 +3045,7 @@ L 88.503833 474.12 L 88.503833 481.32 L 91.85 484.024553 z -" clip-path="url(#p96ad2c593d)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1b2f0a632b)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1b2f0a632b)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1b2f0a632b)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1b2f0a632b)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p8e6d0e70c0)" style="fill: #ffffff"/> - + - + @@ -3235,12 +3235,12 @@ z - + - + @@ -3255,12 +3255,12 @@ z - + - + @@ -3275,12 +3275,12 @@ z - + - + @@ -3295,12 +3295,12 @@ z - + - + @@ -3324,48 +3324,48 @@ z - + - + - + - + - + - + - + - + @@ -3435,7 +3435,7 @@ L 238.204767 474.12 L 238.204767 481.32 L 243.05 485.152287 z -" clip-path="url(#p22909a437e)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p8e6d0e70c0)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p8e6d0e70c0)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p8e6d0e70c0)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p8e6d0e70c0)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p83e15ebb77)" style="fill: #ffffff"/> - + - + @@ -3613,12 +3613,12 @@ z - + - + @@ -3633,12 +3633,12 @@ z - + - + @@ -3653,12 +3653,12 @@ z - + - + @@ -3673,12 +3673,12 @@ z - + - + @@ -3702,48 +3702,48 @@ z - + - + - + - + - + - + - + - + @@ -3799,7 +3799,7 @@ L 380.103638 474.12 L 380.103638 481.32 L 387.05 486.994522 z -" clip-path="url(#pf3394bdf1d)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p83e15ebb77)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p83e15ebb77)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p83e15ebb77)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p83e15ebb77)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> - + - + @@ -3912,12 +3912,12 @@ z - + - + @@ -3932,12 +3932,12 @@ z - + - + @@ -3952,12 +3952,12 @@ z - + - + @@ -4021,22 +4021,22 @@ L 649.85 621.717941 L 649.85 596.947838 L 657.05 596.947838 L 657.05 621.72 -" clip-path="url(#pe04ce16385)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p0c105bd539)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p0c105bd539)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p0c105bd539)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p0c105bd539)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + - + diff --git a/_images/example-sine-highd_22_0.svg b/_images/example-sine-highd_22_0.svg index 2916fe13..dfc2f8f2 100644 --- a/_images/example-sine-highd_22_0.svg +++ b/_images/example-sine-highd_22_0.svg @@ -6,7 +6,7 @@ - 2024-05-29T21:40:17.132446 + 2024-05-29T23:20:29.589542 image/svg+xml @@ -41,65 +41,65 @@ z - - + - + - + - + - + - + - + - + - + - + @@ -148,22 +148,22 @@ L 196.25 168.118073 L 196.25 168.118871 L 203.45 168.118871 L 203.45 168.12 -" clip-path="url(#p5efa016ed2)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p739f2fa5bf)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p739f2fa5bf)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p739f2fa5bf)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p739f2fa5bf)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p9eeb8fa6e9)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -505,17 +505,17 @@ z - - + - + @@ -589,12 +589,12 @@ z - + - + @@ -693,12 +693,12 @@ z - + - + @@ -735,12 +735,12 @@ z - + - + @@ -861,7 +861,7 @@ L 99.05 243.72 L 99.05 243.72 L 106.25 250.801002 z -" clip-path="url(#pdb06be2804)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p9eeb8fa6e9)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p9eeb8fa6e9)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p9eeb8fa6e9)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -1010,22 +1010,22 @@ L 347.45 319.318172 L 347.45 319.318421 L 354.65 319.318421 L 354.65 319.32 -" clip-path="url(#p603e04a867)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p7f5e31d990)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p7f5e31d990)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p7f5e31d990)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p7f5e31d990)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p6a8870a801)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -1303,12 +1303,12 @@ z - + - + @@ -1361,12 +1361,12 @@ z - + - + @@ -1380,12 +1380,12 @@ z - + - + @@ -1399,12 +1399,12 @@ z - + - + @@ -1520,7 +1520,7 @@ L 91.857913 466.92 L 91.857913 474.12 L 99.05 481.312087 z -" clip-path="url(#p81e7340624)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6a8870a801)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6a8870a801)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p6a8870a801)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p28ed7e3b05)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -1660,48 +1660,48 @@ z - + - + - + - + - + - + - + - + @@ -1741,7 +1741,7 @@ L 274.341569 466.92 L 274.341569 474.12 L 279.05 478.828431 z -" clip-path="url(#p291b3933e3)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p28ed7e3b05)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p28ed7e3b05)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p28ed7e3b05)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -1888,22 +1888,22 @@ L 498.65 470.504772 L 498.65 470.504279 L 505.85 470.504279 L 505.85 470.52 -" clip-path="url(#pfec7afe69a)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pb9b9758ff6)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pb9b9758ff6)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pb9b9758ff6)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pb9b9758ff6)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p7e9f6d62c8)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -2081,12 +2081,12 @@ z - + - + @@ -2101,12 +2101,12 @@ z - + - + @@ -2121,12 +2121,12 @@ z - + - + @@ -2141,12 +2141,12 @@ z - + - + @@ -2236,7 +2236,7 @@ L 99.05 488.453372 L 103.806115 488.52 L 106.25 494.360108 z -" clip-path="url(#pcfd1914306)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p7e9f6d62c8)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p7e9f6d62c8)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p7e9f6d62c8)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#pa3869b60f5)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -2429,48 +2429,48 @@ z - + - + - + - + - + - + - + - + @@ -2566,7 +2566,7 @@ L 279.639933 474.12 L 279.639933 481.32 L 286.25 487.888794 z -" clip-path="url(#p0db6345ffe)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pa3869b60f5)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pa3869b60f5)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#pa3869b60f5)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p567b98db04)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -2812,48 +2812,48 @@ z - + - + - + - + - + - + - + - + @@ -2996,7 +2996,7 @@ L 423.05 488.325002 L 422.516125 488.52 L 423.05 488.673992 z -" clip-path="url(#p35ab36dfc7)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p567b98db04)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p567b98db04)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p567b98db04)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -3145,22 +3145,22 @@ L 649.85 621.681519 L 649.85 610.804975 L 657.05 610.804975 L 657.05 621.72 -" clip-path="url(#p516ff040ae)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p3caa0128b4)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p3caa0128b4)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p3caa0128b4)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p3caa0128b4)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p0a2345f976)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -3333,12 +3333,12 @@ z - + - + @@ -3351,12 +3351,12 @@ z - + - + @@ -3369,12 +3369,12 @@ z - + - + @@ -3387,12 +3387,12 @@ z - + - + @@ -3449,7 +3449,7 @@ L 99.355355 654.12 L 101.958815 661.32 L 106.25 665.286756 z -" clip-path="url(#p484795a3c1)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p0a2345f976)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p0a2345f976)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p0a2345f976)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p6ccf32bcdd)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -3607,48 +3607,48 @@ z - + - + - + - + - + - + - + - + @@ -3700,7 +3700,7 @@ L 201.448698 654.12 L 202.715145 661.32 L 207.05 666.69667 z -" clip-path="url(#p9fae614e46)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6ccf32bcdd)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6ccf32bcdd)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6ccf32bcdd)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6ccf32bcdd)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p1b73fee44b)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -3874,48 +3874,48 @@ z - + - + - + - + - + - + - + - + @@ -3969,7 +3969,7 @@ L 353.957808 654.12 L 355.066482 661.32 L 358.25 665.417213 z -" clip-path="url(#p496c0c4c92)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1b73fee44b)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1b73fee44b)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p1b73fee44b)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p38e8c4ba26)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -4176,48 +4176,48 @@ z - + - + - + - + - + - + - + - + @@ -4325,7 +4325,7 @@ L 624.65 645.965221 L 623.254361 646.92 L 624.65 648.368614 z -" clip-path="url(#pee41a30f93)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p38e8c4ba26)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p38e8c4ba26)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p38e8c4ba26)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -4488,22 +4488,22 @@ L 801.05 772.785648 L 801.05 772.903712 L 808.25 772.903712 L 808.25 772.92 -" clip-path="url(#p90d73ecdc8)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pe5d7466dd1)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pe5d7466dd1)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pe5d7466dd1)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pe5d7466dd1)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pa6cb6f9347)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -4660,12 +4660,12 @@ z - + - + @@ -4680,12 +4680,12 @@ z - + - + @@ -4700,12 +4700,12 @@ z - + - + @@ -4720,12 +4720,12 @@ z - + - + @@ -4772,7 +4772,7 @@ L 99.05 790.92 L 104.02202 798.12 L 106.25 799.89981 z -" clip-path="url(#pe88d01197a)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pa6cb6f9347)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pa6cb6f9347)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#pa6cb6f9347)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p6d61035750)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -4908,48 +4908,48 @@ z - + - + - + - + - + - + - + - + @@ -4987,7 +4987,7 @@ L 201.678606 790.92 L 205.138951 798.12 L 207.05 800.040653 z -" clip-path="url(#p3d96af7ae8)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6d61035750)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6d61035750)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p6d61035750)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#pb612d8d820)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -5138,48 +5138,48 @@ z - + - + - + - + - + - + - + - + @@ -5229,7 +5229,7 @@ L 451.85 790.658129 L 450.242566 790.92 L 451.85 791.300752 z -" clip-path="url(#pc8028c9b7f)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pb612d8d820)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pb612d8d820)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#pb612d8d820)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#pdb507a58de)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -5405,48 +5405,48 @@ z - + - + - + - + - + - + - + - + @@ -5526,7 +5526,7 @@ L 639.05 790.340252 L 637.14589 790.92 L 639.05 791.546324 z -" clip-path="url(#p8876973382)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pdb507a58de)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pdb507a58de)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#pdb507a58de)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#pc07cf3f6db)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -5674,48 +5674,48 @@ z - + - + - + - + - + - + - + - + @@ -5761,7 +5761,7 @@ L 775.85 796.289842 L 778.718651 798.12 L 783.05 799.789741 z -" clip-path="url(#p6639ab804d)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pc07cf3f6db)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pc07cf3f6db)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#pc07cf3f6db)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -5914,22 +5914,22 @@ L 952.25 923.639255 L 952.25 924.059754 L 959.45 924.059754 L 959.45 924.12 -" clip-path="url(#p0557ac712f)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p848e3a9e28)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p848e3a9e28)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p848e3a9e28)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p848e3a9e28)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p58847a1ecb)" style="fill: #ffffff"/> - + - + @@ -6062,12 +6062,12 @@ z - + - + @@ -6080,12 +6080,12 @@ z - + - + @@ -6098,12 +6098,12 @@ z - + - + @@ -6116,12 +6116,12 @@ z - + - + @@ -6142,12 +6142,12 @@ z - + - + @@ -6162,12 +6162,12 @@ z - + - + @@ -6182,12 +6182,12 @@ z - + - + @@ -6202,12 +6202,12 @@ z - + - + @@ -6268,7 +6268,7 @@ L 99.573954 934.92 L 106.160118 942.12 L 106.25 942.224611 z -" clip-path="url(#p45eaa30ba2)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p58847a1ecb)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p58847a1ecb)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p58847a1ecb)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p24bb581f24)" style="fill: #ffffff"/> - + - + @@ -6420,12 +6420,12 @@ z - + - + @@ -6440,12 +6440,12 @@ z - + - + @@ -6460,12 +6460,12 @@ z - + - + @@ -6489,48 +6489,48 @@ z - + - + - + - + - + - + - + - + @@ -6608,7 +6608,7 @@ L 205.05566 927.72 L 205.05566 934.92 L 207.05 936.91434 z -" clip-path="url(#pba80cbd369)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p24bb581f24)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p24bb581f24)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p24bb581f24)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p24bb581f24)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p25b795a65c)" style="fill: #ffffff"/> - + - + @@ -6753,12 +6753,12 @@ z - + - + @@ -6772,12 +6772,12 @@ z - + - + @@ -6791,12 +6791,12 @@ z - + - + @@ -6819,48 +6819,48 @@ z - + - + - + - + - + - + - + - + @@ -6914,7 +6914,7 @@ L 351.760088 934.92 L 354.017462 942.12 L 358.25 947.601577 z -" clip-path="url(#p21c00848fb)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p25b795a65c)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p25b795a65c)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p25b795a65c)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p68beaa9b1a)" style="fill: #ffffff"/> - + - + @@ -7083,12 +7083,12 @@ z - + - + @@ -7103,12 +7103,12 @@ z - + - + @@ -7123,12 +7123,12 @@ z - + - + @@ -7152,48 +7152,48 @@ z - + - + - + - + - + - + - + - + @@ -7291,7 +7291,7 @@ L 502.855103 934.92 L 504.743618 942.12 L 509.45 948.101105 z -" clip-path="url(#p4a23262127)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p68beaa9b1a)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p68beaa9b1a)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p68beaa9b1a)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#pd2f0d88ddd)" style="fill: #ffffff"/> - + - + @@ -7457,12 +7457,12 @@ z - + - + @@ -7475,12 +7475,12 @@ z - + - + @@ -7493,12 +7493,12 @@ z - + - + @@ -7520,48 +7520,48 @@ z - + - + - + - + - + - + - + - + @@ -7643,7 +7643,7 @@ L 779.326234 927.72 L 779.326234 934.92 L 783.05 936.11194 z -" clip-path="url(#p024ded4567)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pd2f0d88ddd)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pd2f0d88ddd)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pd2f0d88ddd)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pd2f0d88ddd)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p938f2c6d50)" style="fill: #ffffff"/> - + - + @@ -7801,12 +7801,12 @@ z - + - + @@ -7821,12 +7821,12 @@ z - + - + @@ -7841,12 +7841,12 @@ z - + - + @@ -7870,48 +7870,48 @@ z - + - + - + - + - + - + - + - + @@ -7971,7 +7971,7 @@ L 939.76591 927.72 L 939.76591 934.92 L 941.45 936.591867 z -" clip-path="url(#p4172dceabc)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p938f2c6d50)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p938f2c6d50)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p938f2c6d50)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + @@ -8052,12 +8052,12 @@ z - + - + @@ -8072,12 +8072,12 @@ z - + - + @@ -8092,12 +8092,12 @@ z - + - + @@ -8161,22 +8161,22 @@ L 1103.45 1075.137841 L 1103.45 1074.370329 L 1110.65 1074.370329 L 1110.65 1075.32 -" clip-path="url(#p968395e2e4)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p13f26ad609)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p13f26ad609)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p13f26ad609)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p13f26ad609)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + diff --git a/_images/example-sine-highd_22_1.svg b/_images/example-sine-highd_22_1.svg index a62c7290..ecc0aff8 100644 --- a/_images/example-sine-highd_22_1.svg +++ b/_images/example-sine-highd_22_1.svg @@ -6,7 +6,7 @@ - 2024-05-29T21:40:19.047731 + 2024-05-29T23:20:30.732652 image/svg+xml @@ -41,65 +41,65 @@ z - - + - + - + - + - + - + - + - + - + - + @@ -148,22 +148,22 @@ L 196.25 168.118073 L 196.25 168.118871 L 203.45 168.118871 L 203.45 168.12 -" clip-path="url(#pa0f4f2e40a)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p9e4396516a)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p9e4396516a)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p9e4396516a)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p9e4396516a)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p8966c51057)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -505,17 +505,17 @@ z - - + - + @@ -589,12 +589,12 @@ z - + - + @@ -693,12 +693,12 @@ z - + - + @@ -735,12 +735,12 @@ z - + - + @@ -861,7 +861,7 @@ L 99.05 243.72 L 99.05 243.72 L 106.25 250.801002 z -" clip-path="url(#pa3ff4cad54)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p8966c51057)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p8966c51057)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p8966c51057)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -1010,22 +1010,22 @@ L 347.45 319.318172 L 347.45 319.318421 L 354.65 319.318421 L 354.65 319.32 -" clip-path="url(#pe914ca47b7)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p0300ade162)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p0300ade162)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p0300ade162)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p0300ade162)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pc4f732e99e)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -1303,12 +1303,12 @@ z - + - + @@ -1361,12 +1361,12 @@ z - + - + @@ -1380,12 +1380,12 @@ z - + - + @@ -1399,12 +1399,12 @@ z - + - + @@ -1520,7 +1520,7 @@ L 91.857913 466.92 L 91.857913 474.12 L 99.05 481.312087 z -" clip-path="url(#pf533f48e87)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pc4f732e99e)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pc4f732e99e)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#pc4f732e99e)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#pc068fb2662)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -1660,48 +1660,48 @@ z - + - + - + - + - + - + - + - + @@ -1741,7 +1741,7 @@ L 274.341569 466.92 L 274.341569 474.12 L 279.05 478.828431 z -" clip-path="url(#p9e4d4a0fb4)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pc068fb2662)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pc068fb2662)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#pc068fb2662)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -1888,22 +1888,22 @@ L 498.65 470.504772 L 498.65 470.504279 L 505.85 470.504279 L 505.85 470.52 -" clip-path="url(#p96d8fa0dc7)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p24cd2f6d83)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p24cd2f6d83)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p24cd2f6d83)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p24cd2f6d83)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pd284641cb3)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -2081,12 +2081,12 @@ z - + - + @@ -2101,12 +2101,12 @@ z - + - + @@ -2121,12 +2121,12 @@ z - + - + @@ -2141,12 +2141,12 @@ z - + - + @@ -2236,7 +2236,7 @@ L 99.05 488.453372 L 103.806115 488.52 L 106.25 494.360108 z -" clip-path="url(#p4dfc0eb4ac)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pd284641cb3)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pd284641cb3)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#pd284641cb3)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p8bec55f5da)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -2429,48 +2429,48 @@ z - + - + - + - + - + - + - + - + @@ -2566,7 +2566,7 @@ L 279.639933 474.12 L 279.639933 481.32 L 286.25 487.888794 z -" clip-path="url(#pf49ebb531b)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p8bec55f5da)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p8bec55f5da)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p8bec55f5da)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p23f1bb1b41)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -2812,48 +2812,48 @@ z - + - + - + - + - + - + - + - + @@ -2996,7 +2996,7 @@ L 423.05 488.325002 L 422.516125 488.52 L 423.05 488.673992 z -" clip-path="url(#p9a4d87d8f1)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p23f1bb1b41)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p23f1bb1b41)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p23f1bb1b41)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -3145,22 +3145,22 @@ L 649.85 621.681519 L 649.85 610.804975 L 657.05 610.804975 L 657.05 621.72 -" clip-path="url(#p2cc63a2e6a)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p6bbfa53feb)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p6bbfa53feb)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p6bbfa53feb)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p6bbfa53feb)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p95d041c1ce)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -3333,12 +3333,12 @@ z - + - + @@ -3351,12 +3351,12 @@ z - + - + @@ -3369,12 +3369,12 @@ z - + - + @@ -3387,12 +3387,12 @@ z - + - + @@ -3449,7 +3449,7 @@ L 99.355355 654.12 L 101.958815 661.32 L 106.25 665.286756 z -" clip-path="url(#pe76fc26b7c)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p95d041c1ce)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p95d041c1ce)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p95d041c1ce)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p22a4128ad8)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -3607,48 +3607,48 @@ z - + - + - + - + - + - + - + - + @@ -3700,7 +3700,7 @@ L 201.448698 654.12 L 202.715145 661.32 L 207.05 666.69667 z -" clip-path="url(#pd400c56f04)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p22a4128ad8)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p22a4128ad8)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p22a4128ad8)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p22a4128ad8)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p2702b774b7)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -3874,48 +3874,48 @@ z - + - + - + - + - + - + - + - + @@ -3969,7 +3969,7 @@ L 353.957808 654.12 L 355.066482 661.32 L 358.25 665.417213 z -" clip-path="url(#pfbc1bf7e5c)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p2702b774b7)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p2702b774b7)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p2702b774b7)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p1f17e9060f)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -4176,48 +4176,48 @@ z - + - + - + - + - + - + - + - + @@ -4325,7 +4325,7 @@ L 624.65 645.965221 L 623.254361 646.92 L 624.65 648.368614 z -" clip-path="url(#p3cd2bfd723)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1f17e9060f)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1f17e9060f)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p1f17e9060f)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -4488,22 +4488,22 @@ L 801.05 772.785648 L 801.05 772.903712 L 808.25 772.903712 L 808.25 772.92 -" clip-path="url(#pf36e7bc8a3)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pf449e07293)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pf449e07293)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pf449e07293)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pf449e07293)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p4e5ebe38fe)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -4660,12 +4660,12 @@ z - + - + @@ -4680,12 +4680,12 @@ z - + - + @@ -4700,12 +4700,12 @@ z - + - + @@ -4720,12 +4720,12 @@ z - + - + @@ -4772,7 +4772,7 @@ L 99.05 790.92 L 104.02202 798.12 L 106.25 799.89981 z -" clip-path="url(#p81c51c63f3)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p4e5ebe38fe)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p4e5ebe38fe)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p4e5ebe38fe)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p04ae400cb5)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -4908,48 +4908,48 @@ z - + - + - + - + - + - + - + - + @@ -4987,7 +4987,7 @@ L 201.678606 790.92 L 205.138951 798.12 L 207.05 800.040653 z -" clip-path="url(#p0533d2b83b)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p04ae400cb5)" style="fill: none; stroke: 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#000080; stroke-width: 1.5"/> + +" clip-path="url(#pe140cbd224)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -5405,48 +5405,48 @@ z - + - + - + - + - + - + - + - + @@ -5526,7 +5526,7 @@ L 639.05 790.340252 L 637.14589 790.92 L 639.05 791.546324 z -" clip-path="url(#p14908d7aac)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pe140cbd224)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pe140cbd224)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#pe140cbd224)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p60b406880d)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -5674,48 +5674,48 @@ z - + - + - + - + - + - + - + - + @@ -5761,7 +5761,7 @@ L 775.85 796.289842 L 778.718651 798.12 L 783.05 799.789741 z -" clip-path="url(#pcf55dcef21)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p60b406880d)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p60b406880d)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p60b406880d)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -5914,22 +5914,22 @@ L 952.25 923.639255 L 952.25 924.059754 L 959.45 924.059754 L 959.45 924.12 -" clip-path="url(#p11b79e3f49)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pb1cb375091)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pb1cb375091)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pb1cb375091)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 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1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p4e97259e72)" style="fill: #ffffff"/> - + - + @@ -6420,12 +6420,12 @@ z - + - + @@ -6440,12 +6440,12 @@ z - + - + @@ -6460,12 +6460,12 @@ z - + - + @@ -6489,48 +6489,48 @@ z - + - + - + - + - + - + - + - + @@ -6608,7 +6608,7 @@ L 205.05566 927.72 L 205.05566 934.92 L 207.05 936.91434 z -" clip-path="url(#pb1eb8441b6)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p4e97259e72)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p4e97259e72)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p4e97259e72)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p4e97259e72)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p53223fe08f)" style="fill: #ffffff"/> - + - + @@ -6753,12 +6753,12 @@ z - + - + @@ -6772,12 +6772,12 @@ z - + - + @@ -6791,12 +6791,12 @@ z - + - + @@ -6819,48 +6819,48 @@ z - + - + - + - + - + - + - + - + @@ -6914,7 +6914,7 @@ L 351.760088 934.92 L 354.017462 942.12 L 358.25 947.601577 z -" clip-path="url(#p6aad68b0ce)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p53223fe08f)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p53223fe08f)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p53223fe08f)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p587f2a1221)" style="fill: #ffffff"/> - + - + @@ -7083,12 +7083,12 @@ z - + - + @@ -7103,12 +7103,12 @@ z - + - + @@ -7123,12 +7123,12 @@ z - + - + @@ -7152,48 +7152,48 @@ z - + - + - + - + - + - + - + - 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style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pac4dc49b38)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pac4dc49b38)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pac4dc49b38)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p935b635928)" style="fill: #ffffff"/> - + - + @@ -7801,12 +7801,12 @@ z - + - + @@ -7821,12 +7821,12 @@ z - + - + @@ -7841,12 +7841,12 @@ z - + - + @@ -7870,48 +7870,48 @@ z - + - + - + - + - + - + - + - + @@ -7971,7 +7971,7 @@ L 939.76591 927.72 L 939.76591 934.92 L 941.45 936.591867 z -" clip-path="url(#p04679d5b9c)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p935b635928)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p935b635928)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p935b635928)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + @@ -8052,12 +8052,12 @@ z - + - + @@ -8072,12 +8072,12 @@ z - + - + @@ -8092,12 +8092,12 @@ z - + - + @@ -8161,22 +8161,22 @@ L 1103.45 1075.137841 L 1103.45 1074.370329 L 1110.65 1074.370329 L 1110.65 1075.32 -" clip-path="url(#pcaf877a6e4)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p66310d8acf)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p66310d8acf)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p66310d8acf)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p66310d8acf)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + - + diff --git a/_images/example-sine-highd_26_0.svg b/_images/example-sine-highd_26_0.svg index bc8208fe..3c1e6d32 100644 --- a/_images/example-sine-highd_26_0.svg +++ b/_images/example-sine-highd_26_0.svg @@ -6,7 +6,7 @@ - 2024-05-29T21:40:22.135438 + 2024-05-29T23:20:32.594639 image/svg+xml @@ -39,7 +39,7 @@ z - - - + + - - - + + - - + - + @@ -1725,12 +1725,12 @@ z - + - + @@ -1758,12 +1758,12 @@ z - + - + @@ -1815,12 +1815,12 @@ z - + - + @@ -1880,12 +1880,12 @@ z - + - + @@ -1920,12 +1920,12 @@ z - + - + @@ -2002,17 +2002,17 @@ z - - + - + @@ -2088,12 +2088,12 @@ z - + - + @@ -2107,12 +2107,12 @@ z - + - + @@ -2126,12 +2126,12 @@ z - + - + @@ -2144,12 +2144,12 @@ z - + - + @@ -2162,12 +2162,12 @@ z - + - + @@ -2180,12 +2180,12 @@ z - + - + @@ 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clip-path="url(#p189f273520)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p96f40b0510)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p96f40b0510)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p96f40b0510)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p96f40b0510)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pd2990ad81b)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -1626,12 +1626,12 @@ z - + - + @@ -1665,12 +1665,12 @@ z - + - + @@ -1686,12 +1686,12 @@ z - + - + @@ -1707,12 +1707,12 @@ z - + - + @@ -1743,12 +1743,12 @@ z - + - + @@ -1896,7 +1896,7 @@ L 112.685192 351.72 L 113.45 344.771053 L 114.371106 351.72 L 113.45 352.007314 -" clip-path="url(#p670c1b33ca)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pd2990ad81b)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pd2990ad81b)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pd2990ad81b)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pd2990ad81b)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pbaa180da4b)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -2183,60 +2183,60 @@ z - + - + - + - + - + - + - + - + - + - + @@ -2339,7 +2339,7 @@ L 329.45 351.595796 L 329.242778 351.72 L 329.45 351.844204 z -" clip-path="url(#pf9d000c72e)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pbaa180da4b)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pbaa180da4b)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pbaa180da4b)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pbaa180da4b)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> - + - + - + - + - + - + - + - + - + - + @@ -2586,22 +2586,22 @@ L 498.65 470.404202 L 498.65 470.500197 L 505.85 470.500197 L 505.85 470.52 -" clip-path="url(#p4af3117402)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p416617c783)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p416617c783)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p416617c783)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p416617c783)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p70be929a61)" style="fill: #ffffff"/> - + - + @@ -2767,12 +2767,12 @@ z - + - + @@ -2787,12 +2787,12 @@ z - + - + @@ -2807,12 +2807,12 @@ z - + - + @@ -2827,12 +2827,12 @@ z - + - + @@ -2855,12 +2855,12 @@ z - + - + @@ -2875,12 +2875,12 @@ z - + - + @@ -2895,12 +2895,12 @@ z - + - + @@ -2915,12 +2915,12 @@ z - + - + @@ -3040,7 +3040,7 @@ L 106.25 488.423492 L 109.279988 488.52 L 113.45 491.043571 z -" clip-path="url(#p10552cc8ad)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p70be929a61)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p70be929a61)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p70be929a61)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p70be929a61)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p35c6b254d5)" style="fill: #ffffff"/> - + - + @@ -3266,12 +3266,12 @@ z - + - + @@ -3286,12 +3286,12 @@ z - + - + @@ -3306,12 +3306,12 @@ z - + - + @@ -3334,48 +3334,48 @@ z - + - + - + - + - + - + - + - + @@ -3457,7 +3457,7 @@ L 228.65 485.814372 L 234.639359 488.52 L 235.85 489.594585 z -" clip-path="url(#p362203ce9a)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p35c6b254d5)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p35c6b254d5)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p35c6b254d5)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p35c6b254d5)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p09e1143c7b)" style="fill: #ffffff"/> - + - + @@ -3666,12 +3666,12 @@ z - + - + @@ -3687,12 +3687,12 @@ z - + - + @@ -3708,12 +3708,12 @@ z - + - + @@ -3729,12 +3729,12 @@ z - + - + @@ -3758,48 +3758,48 @@ z - + - + - + - + - + - + - + - + @@ -3863,7 +3863,7 @@ L 384.552512 481.32 L 380.523677 488.52 L 387.05 494.25655 z -" clip-path="url(#p222736bb70)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p09e1143c7b)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p09e1143c7b)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p09e1143c7b)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p09e1143c7b)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> - + - + @@ -3992,12 +3992,12 @@ z - + - + @@ -4012,12 +4012,12 @@ z - + - + @@ -4032,12 +4032,12 @@ z - + - + @@ -4101,22 +4101,22 @@ L 649.85 617.030182 L 649.85 490.810909 L 657.05 490.810909 L 657.05 621.72 -" clip-path="url(#p12ab3cbb67)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p6fc4eea5e1)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p6fc4eea5e1)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p6fc4eea5e1)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p6fc4eea5e1)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + - + diff --git a/_images/example-sine-line_18_1.svg b/_images/example-sine-line_18_1.svg index 461faec0..84515e6f 100644 --- a/_images/example-sine-line_18_1.svg +++ b/_images/example-sine-line_18_1.svg @@ -6,7 +6,7 @@ - 2024-05-29T21:38:03.301385 + 2024-05-29T23:19:00.531705 image/svg+xml @@ -41,65 +41,65 @@ z - - + - + - + - + - + - + - + - + - + - + @@ -148,22 +148,22 @@ L 196.25 168.017473 L 196.25 168.100182 L 203.45 168.100182 L 203.45 168.12 -" clip-path="url(#p7f4cf2e34b)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p2cdc2d3eba)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p2cdc2d3eba)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p2cdc2d3eba)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p2cdc2d3eba)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p05e1b58b39)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -578,17 +578,17 @@ z - - + - + @@ -694,12 +694,12 @@ z - + - + @@ -773,12 +773,12 @@ z - + - + @@ -840,12 +840,12 @@ z - + - + @@ -1066,7 +1066,7 @@ L 127.738522 207.72 L 127.85 207.551915 L 127.957446 207.72 L 127.85 207.764003 -" clip-path="url(#p591c1be70d)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p05e1b58b39)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p05e1b58b39)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p05e1b58b39)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p05e1b58b39)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> - + - + - + - + - + - + - + - + @@ -1293,22 +1293,22 @@ L 347.45 319.144568 L 347.45 319.302236 L 354.65 319.302236 L 354.65 319.32 -" clip-path="url(#p8fdcb68031)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p408acd3696)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p408acd3696)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p408acd3696)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p408acd3696)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p1f450c9d94)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -1626,12 +1626,12 @@ z - + - + @@ -1665,12 +1665,12 @@ z - + - + @@ -1686,12 +1686,12 @@ z - + - + @@ -1707,12 +1707,12 @@ z - + - + @@ -1743,12 +1743,12 @@ z - + - + @@ -1896,7 +1896,7 @@ L 112.685192 351.72 L 113.45 344.771053 L 114.371106 351.72 L 113.45 352.007314 -" clip-path="url(#pf8551204d4)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1f450c9d94)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1f450c9d94)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1f450c9d94)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p1f450c9d94)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p41177cc586)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -2183,60 +2183,60 @@ z - + - + - + - + - + - + - + - + - + - + @@ -2339,7 +2339,7 @@ L 329.45 351.595796 L 329.242778 351.72 L 329.45 351.844204 z -" clip-path="url(#pc75ff55519)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p41177cc586)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p41177cc586)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p41177cc586)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p41177cc586)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> - + - + - + - + - + - + - + - + - + - + @@ -2586,22 +2586,22 @@ L 498.65 470.404202 L 498.65 470.500197 L 505.85 470.500197 L 505.85 470.52 -" clip-path="url(#pe7f8a69416)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pc4f4145ff0)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pc4f4145ff0)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pc4f4145ff0)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pc4f4145ff0)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p61b8c6c96c)" style="fill: #ffffff"/> - + - + @@ -2767,12 +2767,12 @@ z - + - + @@ -2787,12 +2787,12 @@ z - + - + @@ -2807,12 +2807,12 @@ z - + - + @@ -2827,12 +2827,12 @@ z - + - + @@ -2855,12 +2855,12 @@ z - + - + @@ -2875,12 +2875,12 @@ z - + - + @@ -2895,12 +2895,12 @@ z - + - + @@ -2915,12 +2915,12 @@ z - + - + @@ -3040,7 +3040,7 @@ L 106.25 488.423492 L 109.279988 488.52 L 113.45 491.043571 z -" clip-path="url(#pb6b76ad407)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p61b8c6c96c)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p61b8c6c96c)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p61b8c6c96c)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p61b8c6c96c)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p658d7dd466)" style="fill: #ffffff"/> - + - + @@ -3266,12 +3266,12 @@ z - + - + @@ -3286,12 +3286,12 @@ z - + - + @@ -3306,12 +3306,12 @@ z - + - + @@ -3334,48 +3334,48 @@ z - + - + - + - + - + - + - + - + @@ -3457,7 +3457,7 @@ L 228.65 485.814372 L 234.639359 488.52 L 235.85 489.594585 z -" clip-path="url(#pe716f7ccef)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p658d7dd466)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p658d7dd466)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p658d7dd466)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p658d7dd466)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pf51ad6b13c)" style="fill: #ffffff"/> - + - + @@ -3666,12 +3666,12 @@ z - + - + @@ -3687,12 +3687,12 @@ z - + - + @@ -3708,12 +3708,12 @@ z - + - + @@ -3729,12 +3729,12 @@ z - + - + @@ -3758,48 +3758,48 @@ z - + - + - + - + - + - + - + - + @@ -3863,7 +3863,7 @@ L 384.552512 481.32 L 380.523677 488.52 L 387.05 494.25655 z -" clip-path="url(#p2ed5cc98cd)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pf51ad6b13c)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pf51ad6b13c)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pf51ad6b13c)" style="fill: none; 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stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + - + diff --git a/_images/example-sine-line_21_1.svg b/_images/example-sine-line_21_1.svg index 74c77965..97d00962 100644 --- a/_images/example-sine-line_21_1.svg +++ b/_images/example-sine-line_21_1.svg @@ -6,7 +6,7 @@ - 2024-05-29T21:38:05.640518 + 2024-05-29T23:19:02.097032 image/svg+xml @@ -39,7 +39,7 @@ z - - - + + - - - + + - - + - + @@ -1725,12 +1725,12 @@ z - + - + @@ -1758,12 +1758,12 @@ z - + - + @@ -1815,12 +1815,12 @@ z - + - + @@ -1880,12 +1880,12 @@ z - + - + @@ -1920,12 +1920,12 @@ z - + - + @@ -2002,17 +2002,17 @@ z - - + - + @@ -2035,12 +2035,12 @@ z - + - + @@ -2054,12 +2054,12 @@ z - + - + @@ -2072,12 +2072,12 @@ z - + - + @@ -2090,12 +2090,12 @@ z - + - + @@ -2108,12 +2108,12 @@ z - + - + @@ -2181,12 +2181,12 @@ z - + - + @@ -2278,116 +2278,116 @@ z +" clip-path="url(#p908d166e56)" style="fill: none; stroke: #ffa500; stroke-width: 1.5"/> +" clip-path="url(#p908d166e56)" 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style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p7b7c1768a6)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -1902,48 +1902,48 @@ z - + - + - + - + - + - + - + - + @@ -2106,7 +2106,7 @@ L 264.564021 322.92 L 264.564021 330.12 L 264.65 330.162133 z -" clip-path="url(#p363f946a74)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p7b7c1768a6)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p7b7c1768a6)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p7b7c1768a6)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -2251,22 +2251,22 @@ L 498.65 470.44164 L 498.65 470.424799 L 505.85 470.424799 L 505.85 470.52 -" clip-path="url(#pca7c8019b2)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pa6e4e4461d)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pa6e4e4461d)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pa6e4e4461d)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pa6e4e4461d)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p735f7ea893)" style="fill: #ffffff"/> - + - + @@ -2469,12 +2469,12 @@ z - + - + @@ -2488,12 +2488,12 @@ z - + - + @@ -2506,12 +2506,12 @@ z - + - + @@ -2524,12 +2524,12 @@ z - + - + @@ -2550,12 +2550,12 @@ z - + - + @@ -2570,12 +2570,12 @@ z - + - + @@ -2590,12 +2590,12 @@ z - + - + @@ -2610,12 +2610,12 @@ z - + - + @@ -2741,7 +2741,7 @@ L 199.85 521.735153 L 194.50169 524.52 L 199.85 527.61587 z -" clip-path="url(#p400b18d140)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p735f7ea893)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p735f7ea893)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p735f7ea893)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p6c77924521)" style="fill: #ffffff"/> - + - + @@ -2923,12 +2923,12 @@ z - + - + @@ -2943,12 +2943,12 @@ z - + - + @@ -2963,12 +2963,12 @@ z - + - + @@ -2993,48 +2993,48 @@ z - + - + - + - + - + - + - + - + @@ -3132,7 +3132,7 @@ L 307.85 523.352992 L 303.595928 524.52 L 307.85 525.972119 z -" clip-path="url(#p535d63d770)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6c77924521)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p6c77924521)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p6c77924521)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p0b1b0eef41)" style="fill: #ffffff"/> - + - + @@ -3497,12 +3497,12 @@ z - + - + @@ -3516,12 +3516,12 @@ z - + - + @@ -3535,12 +3535,12 @@ z - + - + @@ -3563,48 +3563,48 @@ z - + - + - + - + - + - + - + - + @@ -3871,7 +3871,7 @@ L 480.65 486.201304 L 478.331304 488.52 L 480.65 490.838696 z -" clip-path="url(#p17fe129729)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p0b1b0eef41)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p0b1b0eef41)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p0b1b0eef41)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + @@ -3968,12 +3968,12 @@ z - + - + @@ -3988,12 +3988,12 @@ z - + - + @@ -4008,12 +4008,12 @@ z - + - + @@ -4077,22 +4077,22 @@ L 649.85 562.420104 L 649.85 503.486395 L 657.05 503.486395 L 657.05 621.72 -" clip-path="url(#p3010cbbc2e)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p8b6b627876)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p8b6b627876)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p8b6b627876)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p8b6b627876)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + - + diff --git a/_images/example-sine-modelcomparison_16_1.svg b/_images/example-sine-modelcomparison_16_1.svg index af31adbe..a1390e94 100644 --- a/_images/example-sine-modelcomparison_16_1.svg +++ b/_images/example-sine-modelcomparison_16_1.svg @@ -6,7 +6,7 @@ - 2024-05-29T21:38:21.368672 + 2024-05-29T23:19:12.450776 image/svg+xml @@ -41,65 +41,65 @@ z - - + - + - + - + - + - + - + - + - + - + @@ -148,22 +148,22 @@ L 196.25 168.100599 L 196.25 168.083745 L 203.45 168.083745 L 203.45 168.12 -" clip-path="url(#pecfa3d62cc)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pbddb3baf5e)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pbddb3baf5e)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pbddb3baf5e)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pbddb3baf5e)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pc460a6db3d)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -508,17 +508,17 @@ z - - + - + @@ -616,12 +616,12 @@ z - + - + @@ -675,12 +675,12 @@ z - + - + @@ -713,12 +713,12 @@ z - + - + @@ -816,22 +816,22 @@ L 167.51738 265.32 L 166.248544 272.52 L 171.05 274.976294 z -" clip-path="url(#p8099b1db2f)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pc460a6db3d)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pc460a6db3d)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#pc460a6db3d)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -957,22 +957,22 @@ L 347.45 319.32 L 347.45 319.317048 L 354.65 319.317048 L 354.65 319.32 -" clip-path="url(#p173cf01680)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pff1b4c6bfa)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pff1b4c6bfa)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pff1b4c6bfa)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pff1b4c6bfa)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p91ef9b6d6e)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + - + - + @@ -1301,12 +1301,12 @@ z - + - + @@ -1320,12 +1320,12 @@ z - + - + @@ -1361,12 +1361,12 @@ z - + - + @@ -1435,12 +1435,12 @@ z - + - + @@ -1646,7 +1646,7 @@ L 120.65 336.542324 L 119.872324 337.32 L 120.65 338.773612 z -" clip-path="url(#pa392681c90)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p91ef9b6d6e)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p91ef9b6d6e)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p91ef9b6d6e)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p9cc3b7025b)" style="fill: #ffffff"/> - + - + - + - + - + - + - + - + @@ -1902,48 +1902,48 @@ z - + - + - + - + - + - + - + - + @@ -2106,7 +2106,7 @@ L 264.564021 322.92 L 264.564021 330.12 L 264.65 330.162133 z -" clip-path="url(#p026bb1c4f9)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p9cc3b7025b)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p9cc3b7025b)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p9cc3b7025b)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + @@ -2251,22 +2251,22 @@ L 498.65 470.44164 L 498.65 470.424799 L 505.85 470.424799 L 505.85 470.52 -" clip-path="url(#p3e9e851010)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p509bce1344)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p509bce1344)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p509bce1344)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p509bce1344)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p4d3d0ed66d)" style="fill: #ffffff"/> - + - + @@ -2469,12 +2469,12 @@ z - + - + @@ -2488,12 +2488,12 @@ z - + - + @@ -2506,12 +2506,12 @@ z - + - + @@ -2524,12 +2524,12 @@ z - + - + @@ -2550,12 +2550,12 @@ z - + - + @@ -2570,12 +2570,12 @@ z - + - + @@ -2590,12 +2590,12 @@ z - + - + @@ -2610,12 +2610,12 @@ z - + - + @@ -2741,7 +2741,7 @@ L 199.85 521.735153 L 194.50169 524.52 L 199.85 527.61587 z -" clip-path="url(#p3beb71150c)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p4d3d0ed66d)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p4d3d0ed66d)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p4d3d0ed66d)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#pd06ac495c5)" style="fill: #ffffff"/> - + - + @@ -2923,12 +2923,12 @@ z - + - + @@ -2943,12 +2943,12 @@ z - + - + @@ -2963,12 +2963,12 @@ z - + - + @@ -2993,48 +2993,48 @@ z - + - + - + - + - + - + - + - + @@ -3132,7 +3132,7 @@ L 307.85 523.352992 L 303.595928 524.52 L 307.85 525.972119 z -" clip-path="url(#p90ce5c1e01)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pd06ac495c5)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#pd06ac495c5)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#pd06ac495c5)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + +" clip-path="url(#p7b40cb7f6c)" style="fill: #ffffff"/> - + - + @@ -3497,12 +3497,12 @@ z - + - + @@ -3516,12 +3516,12 @@ z - + - + @@ -3535,12 +3535,12 @@ z - + - + @@ -3563,48 +3563,48 @@ z - + - + - + - + - + - + - + - + @@ -3871,7 +3871,7 @@ L 480.65 486.201304 L 478.331304 488.52 L 480.65 490.838696 z -" clip-path="url(#p2d2873ac31)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p7b40cb7f6c)" style="fill: none; stroke: #000080; stroke-width: 1.5"/> +" clip-path="url(#p7b40cb7f6c)" style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - +" clip-path="url(#p7b40cb7f6c)" style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> + - + - + @@ -3968,12 +3968,12 @@ z - + - + @@ -3988,12 +3988,12 @@ z - + - + @@ -4008,12 +4008,12 @@ z - + - + @@ -4077,22 +4077,22 @@ L 649.85 562.420104 L 649.85 503.486395 L 657.05 503.486395 L 657.05 621.72 -" clip-path="url(#p134dbad028)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pc70da94b28)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#pc70da94b28)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pc70da94b28)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#pc70da94b28)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> + - + - + - + - + - + - + - + - + - + diff --git a/_images/example-sine-modelcomparison_17_0.svg b/_images/example-sine-modelcomparison_17_0.svg index 86f88df1..b2d3e88c 100644 --- a/_images/example-sine-modelcomparison_17_0.svg +++ b/_images/example-sine-modelcomparison_17_0.svg @@ -6,7 +6,7 @@ - 2024-05-29T21:38:21.880320 + 2024-05-29T23:19:13.122786 image/svg+xml @@ -41,17 +41,17 @@ z - - + - + @@ -166,12 +166,12 @@ z - + - + @@ -202,12 +202,12 @@ z - + - + @@ -262,12 +262,12 @@ z - + - + @@ -368,22 +368,22 @@ L 144 167.68205 L 144 167.977323 L 151.2 167.977323 L 151.2 168.12 -" clip-path="url(#p79195e2d72)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p3d896480dd)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" clip-path="url(#p3d896480dd)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p3d896480dd)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> +" clip-path="url(#p3d896480dd)" style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> + diff --git a/_images/example-sine-modelcomparison_17_1.svg b/_images/example-sine-modelcomparison_17_1.svg index d02c5dba..bc54f7cd 100644 --- a/_images/example-sine-modelcomparison_17_1.svg +++ b/_images/example-sine-modelcomparison_17_1.svg @@ -6,7 +6,7 @@ - 2024-05-29T21:38:22.041075 + 2024-05-29T23:19:13.258457 image/svg+xml @@ -41,17 +41,17 @@ z - - + - + @@ -166,12 +166,12 @@ z - + - + @@ -202,12 +202,12 @@ z - + - + @@ -262,12 +262,12 @@ z - + - + @@ -368,22 +368,22 @@ L 144 167.68205 L 144 167.977323 L 151.2 167.977323 L 151.2 168.12 -" clip-path="url(#p425869efe2)" style="fill: none; stroke: #800080; stroke-linejoin: miter"/> +" 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Source code for ultranest.integrator

         results (dict): Results dictionary, with the following entries:
 
             - samples (ndarray): re-weighted posterior samples: distributed according
-            to :math:`p(\theta | d)` - these points are not sorted, and can be assumed
-            to have been randomly shuffled.
-            See :py:func:`ultranest.utils.resample_equal` for more details.
+              to :math:`p(\theta | d)` - these points are not sorted, and can be assumed
+              to have been randomly shuffled.
+              See :py:func:`ultranest.utils.resample_equal` for more details.
             - logz (float64): natural logarithm of the evidence
-            :math:`\log Z = \log \int p(d|\theta) p(\theta) \text{d}\theta`
+              :math:`\log Z = \log \int p(d|\theta) p(\theta) \text{d}\theta`
             - logzerr (float64): global estimate of the :math:`1\sigma` error on
-            :math:`\log Z`
-            (`can be safely assumed to be Gaussian <https://github.com/JohannesBuchner/UltraNest/issues/63>`_);
-            obtained as the quadratic sum of ``logz_bs`` and ``logz_tail``.
-            Users are advised to use ``logz`` :math:`\pm` ``logzerr``
-            as the best estimate for the evidence and its error.
+              :math:`\log Z`
+              (`can be safely assumed to be Gaussian <https://github.com/JohannesBuchner/UltraNest/issues/63>`_);
+              obtained as the quadratic sum of ``logz_bs`` and ``logz_tail``.
+              Users are advised to use ``logz`` :math:`\pm` ``logzerr``
+              as the best estimate for the evidence and its error.
             - niter (int): number of sampler iterations
             - ncall (int): total number of likelihood evaluations (accepted and not)
             - logz_bs (float64): estimate of :math:`\log Z` from bootstrapping -
-            for details, see the
-            `ultranest paper <https://joss.theoj.org/papers/10.21105/joss.03001>`_
+              for details, see the
+              `ultranest paper <https://joss.theoj.org/papers/10.21105/joss.03001>`_
             - logzerr_bs (float64): estimate of the error on the  of :math:`\log Z`
-            from bootstrapping
+              from bootstrapping
             - logz_single (float64): estimate of :math:`\log Z` from a single sampler
             - logzerr_single (float64): estimate of the error :math:`\log Z` from a
-            single sampler, obtained as :math:`\sqrt{H / n_{\text{live}}}`
+              single sampler, obtained as :math:`\sqrt{H / n_{\text{live}}}`
             - logzerr_tail (float64): contribution of the tail (i.e. the terminal
-            leaves of the tree) to the error on :math:`\log Z` (?)
+              leaves of the tree) to the error on :math:`\log Z` (?)
             - ess (float64): effective sample size, i.e. number of samples divided by
-            the estimated correlation length, estimated as
-            :math:`N / (1 + N^{-1} \sum_i (N w_i - 1)^2)` where :math:`w_i` are
-            the sample weights while :math:`N` is the number of samples
+              the estimated correlation length, estimated as
+              :math:`N / (1 + N^{-1} \sum_i (N w_i - 1)^2)` where :math:`w_i` are
+              the sample weights while :math:`N` is the number of samples
             - H (float64): `information gained <https://arxiv.org/abs/2205.00009>`_
             - Herr (float64): (Gaussian) :math:`1\sigma` error on :math:`H`
             - posterior (dict): summary information on the posterior marginal distributions for each parameter -
-            a dictionary of lists each with as many items as the fit parameters,
-            indexed as :math:`\theta_i` in the following:
+              a dictionary of lists each with as many items as the fit parameters,
+              indexed as :math:`\theta_i` in the following:
+
                 - mean (list): expectation value of :math:`\theta_i`
                 - stdev (list): standard deviation of :math:`\theta_i`
                 - median (list): median of :math:`\theta_i`
                 - errlo (list): one-sigma lower quantile of the marginal for :math:`\theta_i`, i.e. 15.8655% quantile
                 - errup (list): one-sigma upper quantile of the marginal for :math:`\theta_i`, i.e. 84.1345% quantile
                 - information_gain_bits (list): information gain from the marginal prior on :math:`\theta_i` to the posterior
+
             - weighted_samples (dict): weighted samples from the posterior, as computed during sampling,
-            sorted by their log-likelihood value
+              sorted by their log-likelihood value
+
                 - upoints (ndarray): sample locations in the unit cube :math:`[0, 1]^{d}`,
-                where :math:`d` is the number of parameters - the shape is ``n_iter`` by :math:`d`
+                  where :math:`d` is the number of parameters - the shape is ``n_iter`` by :math:`d`
                 - points (ndarray): sample locations in the physical, user-provided space (same shape as ``upoints``)
                 - weights (ndarray): sample weights - shape ``n_iter``, they sum to 1
                 - logw (ndarray): logs of the sample weights (?)
                 - bootstrapped_weights (ndarray): bootstrapped estimate of the sample weights
                 - logl (ndarray): log-likelihood values at the sample points
+
             - maximum_likelihood (dict): summary information on the maximum likelihood value
-            :math:`\theta_{ML}` found by the posterior exploration
+              :math:`\theta_{ML}` found by the posterior exploration
+
                 - logl (float64): value of the log-likelihood at this point: :math:`\log p(d | \theta_{ML})`
                 - point (list): coordinates of :math:`\theta_{ML}` in the physical space
                 - point_untransformed (list): coordinates of :math:`\theta_{ML}` in the unit cube :math:`[0, 1]^{d}`
+
             - paramnames (list): input parameter names
             - insertion_order_MWW_test (dict): results for the Mann-Whitney U-test;
-            for more information, see the :py:class:`ultranest.netiter.MultiCounter` class
-            or `section 4.5.2 of Buchner 2023 <http://arxiv.org/abs/2101.09675>`_
+              for more information, see the :py:class:`ultranest.netiter.MultiCounter` class
+              or `section 4.5.2 of Buchner 2023 <http://arxiv.org/abs/2101.09675>`_
+
                 - independent_iterations (float): shortest insertion order test run length
                 - converged (bool): whether the run is converged according to the MWW test, at the given threshold
         """
diff --git a/_sources/example-line.ipynb.txt b/_sources/example-line.ipynb.txt
index 8bb5423b..74b33068 100644
--- a/_sources/example-line.ipynb.txt
+++ b/_sources/example-line.ipynb.txt
@@ -21,7 +21,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -69,20 +69,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "%matplotlib inline\n",
     "import matplotlib.pyplot as plt\n",
@@ -115,30 +104,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'Velocity dispersion [log, km/s]')"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "samples = []\n",
     "\n",
@@ -169,20 +137,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(42, 2, 400)"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "samples.shape"
    ]
@@ -208,7 +165,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -244,7 +201,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -286,7 +243,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -304,79 +261,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[ultranest] To achieve the desired logz accuracy, min_num_live_points was increased to 64\n",
-      "[ultranest] Sampling 64 live points from prior ...\n",
-      "[ultranest] Widening roots to 65 live points (have 64 already) ...\n",
-      "[ultranest] Sampling 1 live points from prior ...\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4f9f279059404b20acd5fbacf674a7ac",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "VBox(children=(HTML(value=''), GridspecLayout(children=(HTML(value=\"
&nb…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[ultranest] Explored until L=4e+01  41.4092..41.4608] | it/evals=1116/2721 eff=41.9804% N=64          \n",
-      "[ultranest] Likelihood function evaluations: 2734\n",
-      "[ultranest]   logZ = 28.69 +- 0.3423\n",
-      "[ultranest] Effective samples strategy satisfied (ESS = 313.8, need >100)\n",
-      "[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.43+-0.16 nat, need <0.50 nat)\n",
-      "[ultranest] Evidency uncertainty strategy wants 62 minimum live points (dlogz from 0.27 to 0.81, need <0.5)\n",
-      "[ultranest]   logZ error budget: single: 0.42 bs:0.34 tail:0.01 total:0.34 required:<0.50\n",
-      "[ultranest] done iterating.\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "result = sampler.run(min_num_live_points=50, min_ess=100) # you can increase these numbers later"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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pgHkR8+wMjYiIiHIJJsqU44T4hWCZwzLERsSqjq2tt1ZtWblCjqE+Q5ksExERUYYxUaYcJ+JDBGIjYtF2dVscGHAAANDvQr9kI8pBPkHY02sPIj5EMFEmIiKiDGOiTDmWZRlL1WubSjbQN9bXYjRERESU2zBRJp0S4heCiA8RqZYJ8gnKpmiIiIjoR8ZEmXSGurnHKZEr5FDkU2RDVERERPSjYqJMWqFnoIfO2zurXgNf5x67bHSBlYNVqvUVlgqYFjBN1kZ2xElEREQ/Bv7mJ62Q6klRrks5teesHKxgW8U2Xe2k1IampBYnERER5W7cwpqIiIiISA2OKJNWKOOU8NnjAwBwcHGAVC/j79k00YYu9EFERES6ib/1SSviouOws+tO7Oy6E3HRcVprQxf6ICIiIt3ERJmIiIiISA0mykREREREajBRJiIiIiJSg4kyEREREZEaTJSJiIiIiNRgokxEREREpAbXUSatkOnL0H5te9VrbbWhC30QERGRbmKiTFohk8tQya2S1tvQhT6IiIhIN3HqBRERERGRGhxRJq1Qxinx9NhTAEDJFiUzvYX197ahC30QERGRbuJvfdKKuOg4bHHegi3OW75rC+vvbUMX+iAiIiLdxESZiIiIiEgNJspERERERGowUSYiIiIiUoOJMhERERGRGkyUiYiIiIjUYKJMRERERKQG11EmrZDpy9BqaSvVa221oQt9EBERkW5iokxaIZPLUGNoDa23oQt9EBERkW7i1AsiIiIiIjU4okxaoYxXwu+8HwCgSP0ikMoysYW1BtrQhT6IiIhIN/G3PmlFXFQc1jdaj/WN1iMuKpNbWGugDV3og4iIiHQTE2UiIiIiIjWYKBMRERERqcFEmYiIiIhIDSbKRERERERqMFEmIiIiIlKDiTIRERERkRpcR5m0QiaXoemcpqrX2mpDF/ogIiIi3cREmbRCpi9D3bF1td6GLvRBREREuolTL4iIiIiI1OCIMmmFMl6JtzffAgBsq9hmegvr721DF/ogIiIi3cTf+qQVcVFxWF1jNVbXWP1dW1h/bxu60AcRERHpJibKRERERERqMFEmIiIiIlKDiTIRERERkRpMlImIiIiI1GCiTERERESkBhNlIiIiIiI1uI4yaYVMLkNDj4aq19pqQxf6ICIiIt3ERJm0QqYvg5Onk9bb0IU+iIiISDdx6gURERERkRocUSatEEqBIJ8gAICVgxUkUolW2tCFPoiIiEg3cUSZtCI2MhbLyy/H8vLLERsZq7U2dKEPIiIi0k1MlImIiIiI1GCiTERERESkBhNlIiIiIiI1mCgTEREREanBRJmIiIiISA0mykREREREanAdZdIKmVyG2mNqq15rqw1d6IOIiIh0ExNl0gqZvgzN5zbXehu60AcRERHpJk69ICIiIiJSgyPKpBVCKRDiFwIAMC9inuktrL+3DV3og4iIiHQTR5RJK2IjY7Go2CIsKrbou7aw/t42dKEPIiIi0k1MlImIiIiI1ODUC8r1gnyCMl3321Hkd7ffwbywOcyLmGsiLCIiItJxTJQp11JYKiBXyLGn1x6NtLe23lrIFXIM9RnKZJmIiOgHwESZci3zIuYY6jMUER8iMt1GbGQs1tZbCwBou7otDgw4gIgPEUyUiYiIfgBMlClXMy/yfVMlYsJjVK8ty1hqIiQiIiLKIfgwHxERERGRGhxRJq2Q6klRbUg11WtttZGhPmR8X0lERPQjYaJMWqFnoIc2y9povY2M9PH25tss7YuIiIh0C4fIiIiIiIjU4IgyaYUQQrUahcJSAYkkE1tYa6CNjPQhhNB4+0RERKS7mCiTVsRGxGKe9TwAwISwCdA31tdKGxnpo9+Ffhpvn4iIiHQXp14QEREREanBRJmIiIiISA0mykREREREajBRJiIiIiJSg4kyEREREZEaTJSJiIiIiNTg8nCkFVI9KSr2rah6ra02MtQHt7AmIiL6oTBRpmwR4hei2rgjUc1fagIAgh4EJfzrE5ShNvUM9NBhXQeNxJeePriFNRER0Y+FiTJluRC/ECxzWIbYiNg0y8oVcigsFdkQFREREVHqmChTlov4EIHYiFi4bHSBlYMVgITtoOOi4gAAeoZ6qu2nFZYKmBcxT1e7QghV8i1XyLNsC+vEPriFNRER0Y+FiTJlGysHK9hWsQUAxITHYKbJTADft4X197aRkT64hTUREdGPhU8nERERERGpwUSZiIiIiEgNJspERERERGowUSYiIiIiUoOJMhERERGRGkyUiYiIiIjU4PJwpBVSmRRlO5dVvdZWGxnpQyLV/DrNREREpLuYKJNW6BnqocuOLlpvIyN9cAtrIiKiHwunXhARERERqcFEmYiIiIhIDU69IK3QxBbWmmgjI31wC2siIqIfC0eUiYiIiIjUYKJMRERERKQGE2UiIiIiIjWYKBMRERERqcFEmYiIiIhIDSbKRERERERqcHk40gqpTAr71vaq19pqIyN9cAtrIiKiHwsTZdIKPUM9uB5y1XobGemDW1gTERH9WDj1goiIiIhIDSbKRERERERqcOoFaUVMeAzmWc8DAIx5PybTW1h/bxsZ6aPX8V4ab5+IiIh0FxNl0prYiFidaEMX+iAiIiLdw6kXRERERERqMFEmIiIiIlKDiTIRERERkRpMlImIiIiI1GCiTERERESkBle9IK2QSCWwa2ineq2tNjLUh4RbWBMREf1ImCiTVsiN5HDzdtN6Gxnpg1tYExER/Vg49YKIiIiISA0mykREREREanDqBWlFTHgMFhVdBAD49eWvmd7C+nvbyEgf3fZ2AwAE+QSlWU9hqYB5EXONx0NERETZh4kyaU3EhwidaCO9fSjyKSBXyLGn154068gVcgz1GcpkmYiIKAdjokyUTmaFzTDUZ2iayXmQTxD29NqDiA8RTJSJiIhyMCbKRBlgXsScyS8REdEPgg/zERERERGpwUSZiIiIiEgNJspERERERGpwjjJphUQqQYFqBVSvtdWGLvRBREREuomJMmmF3EiOgdcGar0NXeiDiIiIdBOnXhARERERqcFEmYiIiIhIDSbKpBWxEbFYWHQhFhZdiNiIWK21oQt9EBERkW7iHGXSCiEEQl6FqF5rqw1d6IOIiIh0ExNl+i4hfiHp2tKZiIiIKKdhokyZFuIXgmUOy9I1JUGukENhqciGqIiIiIg0g4kyZVrEhwjERsTCZaMLrBysUi2rsFTAvIh5NkVGRERE9P2YKNN3s3Kwgm0VW22HQURERKRRXPWCiIiIiEgNjiiTVkgkEliVtVK91lYbutAHERER6SYmyqQVcoUcQx4M0XobutAHERER6SZOvSAiIiIiUoOJMhERERGRGkyUSStiI2LhVc4LXuW8vmsL6+9tQxf6ICIiIt3EOcqkFUIIBD0MUr3WVhu60AcRERHpJo4oExERERGpwUSZiIiIiEgNJspERERERGowUSYiIiIiUoOJMhERERGRGlz1grRCIpHA3M5c9VpbbehCH0RERKSbmCiTVsgVcox4OULrbWRlH0E+QWmWUVgqYF7EPFPtExERUdZiokykYQpLBeQKOfb02pNmWblCjqE+Q5ksExER6SAmykQaZl7EHEN9hiLiQ0Sq5YJ8grCn1x5EfIhgokxERKSDmCiTVsRGxmJdg3UAALdzbpAbybXSRlb1YV7EnMkvERFRDsdEmbRCKAUCrgeoXmurDV3og4iIiHQTl4cjIiIiIlKDiTIRERERkRpMlImIiIiI1GCiTERERESkBhNlIiIiIiI1uOoFaY3CUqETbehCH0RERKR7mCiTVugb62Ns0Fitt6ELfRAREZFu4tQLIiIiIiI1OKL8gwnxC0lza2UgYboBd5YjIiKiHxkT5R9IiF8IljksQ2xEbJpl5Qo5hvoMzbJkOTYyFptabQIA9DzSM9NbWH9vG7rQBxEREekmJso/kIgPEYiNiIXLRhdYOVilWC7IJwh7eu3Bq/Ov0iyXWUIp8OrsK9VrbbWhC30QERGRbmKi/AOycrCCbRXbFM8rLBWQK+TY02tPmm3JFXKuCvGd0vOGg1NhiIiIsh8TZUrGvIg5hvoM5VzmLJbRNyRZORWGiIiIkmOiTGqZFzFnUpbF0vuGJHEqTMSHCH5PiFIRFBQENzc3eHt7o1ChQvDy8kKTJk0yVd7d3R0HDhxAeHg47OzsMGPGDLRt2za7LoWIdAQTZSIt4hsSooxzc3ODk5MT3NzckhwfOnQobGxsEBQUhJMnT6Jr167w9fVF3rx51baTWvlRo0ZhyZIlMDAwwLVr19C0aVM8f/4c+fLly4YrJCJdwXWUiYgoxwsLC8PevXsxefJkKBQKtGvXDo6Ojti3b1+mypcpUwYGBgYAAIlEgpiYGLx58ybbroeIdAMTZdIauUIOueL7llvTRBu60AeRrrh27RqGDRuGcuXKwdjYGEWKFEHXrl3x5MmTdNUPCwuDh4cHWrZsibx580IikWDdunWp1rl58ybatWuHvHnzQqFQoHz58li8eHGG4vb19YWJiQkKFSqkOubo6IgHDx5kuvyQIUNgZGSE6tWro3HjxnB0dMxQTESU83HqBWmFvrE+fg//Xett6EIflHPFxMSgV69eOHToEOLj43HmzBnUrl07xeOacPPmTezfvx9OTk5wcnLSSJvfmj17Ni5evIguXbqgQoUKePfuHZYuXYoqVargypUrKF++fKr1P3z4gClTpqBIkSKoWLEivL29Uy1//PhxtG3bFpUrV8akSZNgYmKCZ8+e4fXr1xmKOywsDGZmZkmOmZmZ4ePHj5ku7+XlhSVLlsDb2xv379+HRCLJUExElPMxUSYiyqSNGzdix44dKFOmDFq2bKmav5rScU24efMmJk+eDABZkiiPGjUKmzdvhr6+vupYt27d4OjoiFmzZmHjxo2p1re1tcXbt29hY2OD69evo3r16imWDQ0NRZ8+fdCmTRvs3LkTUmnKf+R0dnbGhQsXAAARERHYvn07RowYAQAYP348WrRogdDQ0GTtm5iYqG3PxMQkXeVlMhmaNGmChQsXwt7eHq1bt04xRiLKfZgoExFlUuKo56hRozBw4MA0j+cEderUSXbM3t4e5cqVg4+PT5r1DQwMYGNjk66+Nm/ejMDAQEyfPh1SqRTh4eEwMjJSmzAfPHhQ9Vrdw3xhYWEICwvDmzdvULBgQQDA/fv30adPH7V929vbZ6h8XFwcnj59mq7rIqLcg3OUSSviouKwuc1mbG6zGXFRcVprQxf6IN114MAB1K1bF8bGxjAzM0Pz5s1Vo5pFixaFh4cHgISlxBL/LJ/S8UePHqFr166wsbGBkZERHBwcMHv2bCiVSlV/R48eRe3atWFkZAQbGxsMHz4cwcHBqvNFixZVJd6TJ0+GRCLBy5cvs/rLACEEAgMDYWlpqdF2T548CTMzM7x58walS5eGiYkJzMzMMHjwYERFRWWoLRMTE7Rv3x4eHh6IjIzEwYMHcffuXbRv3z7D5UNCQrB582aEhYUhLi4OO3bswJkzZ9CgQQNNXDYR5SAcUSatUMYr4XvYV/VaW23oQh+km1atWgV3d3eYmZmhZ8+eiImJwdatW9GoUSPs27cPgwcPxoEDB3Dx4kW0atUKFSpUAAC1x4ODg1G3bl18+fIF3bt3h0KhwPHjxzF+/Hh8/PgRc+bMwe7du9G5c2fY2dmhX79+eP36NZYtW4Zz587hypUrMDIywuDBg3H27FkcOXIEdevWRb169WBunvXLC27atAlv3rzBlClTNNqur68v4uLi0L59e/z000+YOXMmvL29sWTJEgQHB2PLli0Zas/Lywt9+/ZFvnz5UKhQIWzbti3J0nCtWrVC/fr18fvvv6daPjQ0FKtWrcKQIUMghEDJkiWxefNmVKpUSZOXT0Q5gSCNCQkJEQBESEiItkNRK+BGgPCEpwi4EaDtUER0WLTwhKfwhKeIDovWWhu60EdadOn79j10/f741pcvX4S5ubnQ19cXd+/eVR0/efKkACBKlCghhBDCw8NDABCrVq1KUv+/x69duyYACCcnJ1WZgIAA0a1bNzF48GARGRkpChcuLEqVKiXCwsJUZRYsWCAAiDlz5qiOrVq1SgAQHh4eKcZ/5swZASDVjxcvXqTra+Hj4yPMzMxE7dq1RVxcXLrqJEq87rVr16o9X7x4cQFADBo0KMnxn3/+WQAQT548yVB/RESaxhHlXCLELyRdO7xRzpWe7x+3FNeMS5cuISQkBJ07d06yJFiTJk1Qs2ZNXL16FY8ePUp3e+XKlYOtrS28vb3RokULODs7o2bNmti0aRNkMhlOnz4Nf39/VK1aFVOnTlXVS3zYbP/+/Rg7dmy6+ytSpAjGjRuXapn0jES/e/cObdq0gbm5OXbu3AmZTJbuGNLDyMgIANCjR48kx11dXbFixQpcvnwZ9vb2Gu2TiCgjmCjnAiF+IVjmsAyxEbFplpUr5FBYKrIhKtIUhaUCcoUce3rtSbOsXCHHUJ+hTJa/U1BQwpsSOzu7ZOeKFi2Kq1ev4v379+luz8jICGfPnsW0adNw+PBhHD9+HEDCChGLFi1CTEwMAODGjRu4ceNGsvqBgYEZir948eKYNWtWhur8V0hICFq1aoXg4GCcP38eBQoU+K721ClQoAAePHiA/PnzJzlubW0NAPj8+bPG+yQiyggmyrlAxIcIxEbEwmWjC6wcrFItyxHHnMe8iDmG+gxN118M9vTag4gPEfwefycrq4T7SN2Dci9evADwNZlLL3t7e6xfvx4A8OTJExw4cACenp5wdXXF2rVrAQCDBg3C8uXLvyPyBM+fP8fKlStTLTNu3DjkyZNH7bmoqCi0bdsWT548wcmTJ1G2bNnvjkmdqlWr4sSJE6qH+RIFBAQA+Pp9SK+goCC4ubnB29sbhQoVgpeXF5o0afJd5S9fvoy6detiypQp+OOPPzIUDxHlfEyUdUx0dDRmzpyJCRMmqLZPTS8rByvYVrHNoshS9j0xa1NOitu8iDnMi5inK2ZNTrHRxBurxJiHDh2qoaiyXu3atWFmZoYDBw7g3r17qukXJ0+exL///otixYolSezS8s8//6Bv377o2bMnNm7ciFKlSmH06NE4duwYTpw4gcKFC0OhUGDPnj2YOnWqanWJvXv3YsCAARgxYoQqSUtcRSM+Pj7F/vz8/DB79uxUYxo0aJDaRDk+Ph7dunXD5cuXsW/fvlQ3SomIiICfnx8sLS0ztSJG165dMWvWLKxZswaNGzdWHV+9ejX09PQyvE700KFDYWNjg6CgIJw8eRJdu3aFr69vkgf6MlJeqVRi5MiRqa4FTUS5GxNlDRJCAACeXnwKE2P1i9ynJTw8HH9N/gvta7aHsbFxuup8ePwBUYjCl7AvMA5NXx1NCg0NxeTJkzFgwIBkO12lJCY8BlGIUtXXj9dPo4bm20hP3JqIU5NSiznOIA7xRvHY0itjKwWkRm4kh8tGFxhbZv7nKvFnuoljwkhd4n2iy0xNTTFr1iwMGTIE9erVQ/fu3RETE4MtW7ZAJpNh0aJFGdqlzdnZGYULF8amTZvw+fNnlClTBg8fPsSJEydQoUIF1K1bFx4eHhg3bhwqVqwIZ2dnREREYOfOnciTJ0+S9YITNy/ZtGkTYmNj8dtvvyVLBJ2cnDL9dR49ejT279+Ptm3b4tOnT8k2GOnVq5fq9b///otGjRrBw8MDnp6equNLly5FcHCwamT4wIEDqrWlhw8frpofXblyZfTv3x9///034uLi0LBhQ3h7e2PHjh2YMGFChqZ7hIWFYe/evXj+/DkUCgXatWsHR0dH7Nu3D/369ctU+ZUrV6JmzZoICQlJdxxElMto+WHCXMXf3z/NJ835wY8f/cPf31/bt2q67d69W9SqVUsYGRkJExMT0ahRI+Ht7a06n95VL4QQwtfXV/Ts2VMULFhQGBgYCDs7OzFs2DDx4cMHVZn169eLypUrCwMDA5E/f37h6uoqnj59mqTtyMhI0aZNG2FgYCCMjIyEn5+fRq+5YcOGqX7/vpW4usZ/V+Cws7NLsf5/V9uIiYkRnp6ews7OTsjlclGyZEmxYMGCDMd98+ZNkSdPniTHhg0bJkaPHp2p8h8+fBClS5cWnz9/Fn379hVTp07NcExElPNJhMgBwzs5hFKpREBAAExNTTM02vSt0NBQFC5cGP7+/ukendW2nBgzkDPjzskx+/n5QSKRoECBAqluVUyUGefPn0fv3r2TzCufOHEiPn78iL/++ivD5QcNGoRKlSph0KBBcHNzQ8mSJTlHmegHxKkXGiSVSlGoUKHvasPAwAAeHh6wsrLS+XmziXJizEDOjDsnx2xtbZ1jYibdU69ePVy8eFHtuYkTJ6JTp06q5fQShYaGwsRE/TQ4ExOTFMvfunUL165dw7JlyzQTPBHlWBxRJiKiHC8sLAx58+bFixcvULBgQQBAo0aN0KdPnxTnKKdUPiQkBH/88YcqyQ4JCYGenh46d+6sWqGEiH4MTJSJiChX6NKlC8zNzbFkyRKcOnUKffv2TXXVi5TKGxoaJhlt/vXXX1GsWDGMHz8eFhYW2XQ1RKQLOPWCiIhyBS8vL/Tt2xf58uVDoUKFsG3btiRJcqtWrVC/fn38/vvvaZZXKL5uzGRkZAQTExMmyUQ/II4oExERERGpwUfPiYiIiIjUYKKsY6Kjo+Hp6Yno6Ghth5JuOTFmIGfGzZhzhtx0zbwWIvqRceqFBnEd5ZwTM5Az487JMad3HWVN3EfalhO/TynhtegWIQS+fPnC9ciJsgkTZQ16/fo1ChcurO0wiHSav79/quuN8z4iSlta9xERaQZXvdAgU1NTAPiu0YqcOOKRE2MGcmbcOTnmhw8fomzZsqr7JCWauI+0Lau/T8p4Jfwv+QMACtcpDKlMcyOL/207LDws09eSlXFmRk68f/4r8RrSuo+ISDOYKGtQ4p+JzczMMv2fcE7eeS0nxQzkzLhzcsyWlpYAkOZ0Ck3cR9qWHd8nizYWWdLuf9s2Uhh917VkZZwZlRPvn5Tk1GlJRDkNp15oUGhoKMzNzRESEpJjf8ETZZX03h+8j4hSxvuDKHtxRJmIKIeJj43HjZU3AABV3atCJpfpZNtZGScRUXZgokxElMPEx8TjyLAjAIBKbpU0myhrsO2sjJOIKDtwbRkiIiIiIjWYKBMRERERqcFEmYiIiIhIDSbKRERERERqMFEmIiIiIlKDiTIRERERkRpcHo6IKIfRM9BDj4M9VK91te2sjJOIKDvwfy4iohxGqidFqTaldL7trIyTiCg7cOoFEREREZEaHFEmIsph4mPjcW/TPQCAY09HjW9hram2szJOIqLswESZiCiHiY+Jx75++wAAZbuU1fgW1ppqOyvjJCLKDkyUiYgoVSF+IYj4EJFmOYWlAuZFzLMhIiKi7MFEmYiIUhTiF4JlDssQGxGbZlm5Qo6hPkOZLBNRrsFEmYiIUhTxIQKxEbFw2egCKwerFMsF+QRhT689iPgQwUSZiHINJspERJQmKwcr2Fax1XYYRETZisvDERERERGpwUSZiIiIiEgNTr0gIsph9Az00Hl7Z9VrXW07K+MkIsoO/J+LiCiHkepJUa5LOZ1vOyvjJCLKDpx6QURERESkBkeUiYhyGGWcEj57fAAADi4OkOppbszjv21rsi1NxklElB2YKBMR5TBx0XHY2XUnAGBC2ATo6+lnWduabEuTcRIRZQe+vSciIiIiUoOJMhERERGRGkyUiYiIiIjUYKKcS1258hqXL/trOwwiIiKiHIuJci60det91KmzBnXq/I0lS65qOxwiIiKiHImJci5z+LAvevfeAyESPv/ll6OYPNkbIvEAEREREaULl4fLRZ4+/YROnbYjLk4JV1dHlCqVF56eZ+HpeRZ58hjhl19qajtEItIAmb4M7de2V73W1bazMk4iouzARDkXWbXqBqKi4lC/fhGsW9cecrkMenpS/PHHGXh5XcPw4TUgkUi0HSYRfSeZXIZKbpV0vu2sjJOIKDtw6kUuER+vxKZN9wAAv/5aE3J5wujN8OE1oa8vw+PHH/HgQZA2QyQiIiLKUZgo5xLe3i/x5s0XWFgYwtm5lOq4mZkBWrQoAQDYseOBtsIjIg1Sxinx5NATPDn0BMo4pc62nZVxEhFlBybKucSGDXcBAN26lYOBQdIZNV26lAUA7Nzpk+1xEZHmxUXHYYvzFmxx3oK46DidbTsr4yQiyg6co5wLhIfHYNeuhCS4d+8Kyc63bVsacrkUDx8G4eHDIJQta5XdIRKRDgrxC0HEh4gkx2IjY1Wv391+h+CXwdkcFRGR7mCinAvs3fsIYWExKF48D+rUKZzsvIWFIZo3L4FDh3yxc+dD/N//NdRClESkS0L8QrDMYRliI2JTLLO23loAgFwhh8JSkV2hERHpDCbKuUDitIvevSukuKpFly5lceiQL3bsYKJMREDEhwjERsTCZaMLrBy+/pUpNjJWlSD3u9APcqOEJNm8iLm2QiUi0homyjnc27dfcOLEcwBAr17Jp10katcuYfrF/fvv8ejRB5QpY5ldIRKRDrNysIJtFVvV5zHhMarXNpVsoG+sr42wiIh0Ah/my+G2bLkPpVKgdu1CKFkyb4rl8uQxQtOmxQEAO3c+zK7wiIiIiHIsjijncIlrJ/fpUzHNsp07l8WRI08xbdo57N//GOXKWaNcOSsUKGAKiQSQSiWQSCRJXif8C0gkElStaouCBc2y+pKIiIiIdAIT5RxMqRS4dy8QANCqVck0y3fs6IDJk8/Czy8E164F4Nq1gAz1Z2Skh6NHe6FBA7tMxUtEmiHTl6HV0laq17radlbGSUSUHX74RPn06dNo1KhRjtza+ePHCMTGJiziX6CAaZrlLSwM8ezZL/D1/YiHD4Pw4EHCx8ePERACEEJAqRQQAv/79+vn79+H4/nzz3B23ozTp/uiWrUCWX15RJQCmVyGGkNr6HzbWRknEVF2+KET5a1bt8LV1RUTJkzA1KlTIZXmrCnbb9+GAQCsrBSqLavToqcnhYODFRwcrNCpU/r7ioyMRatWm3D27Cu0bLkR587143rMRERElKvlrMxQwxSKhHVBZ86ciVGjRn1XW9HR0QgNDQUAhIaGIjo6+rvjS0tAwBcA6RtN/l5GRnIcONAD1asXwMePkWja9B88f/45y/ul3EEb90dupoxX4qX3S7z0fgllvIa3sNZg21kZJxFRdvihE2VHR0eUKVMGffr0wcqVKzFs2DAIITLV1syZM1G4cMJmH4ULF8bMmTM1GapaiYmyrW3GE+WoqKTbyc6ffwnt22/FuXOvUqxjamqAI0d6onx5a7x9G4amTf/BmzehGe6bfjzauD9ys7ioOKxvtB7rG61HXJSGt7DWYNtZGScRUXb4oRPlYsWKwcDAAIULF8bUqVPh5eWlGlk+deoUQkJC0t3WhAkT4O/vDwDw9/fHhAkTsiTmb719mziibJKhej4+QahceQVWr74JIGFu8qpVN7F//2M8ffpJVS4+XpnsjUO+fAocP94LJUrkwYsXwWjWbAOCgsK/80oot9PG/UFERPS9fqhEWd1ocaVKlaBUKvHLL79gxowZWLJkCQoWLIiRI0ciLCws3W0bGBjAzCxh6TQzMzMYGBhoLO6UZGbqxc6dD1Gjxmo8evQBs2ZdQExMPCQSCXbv7oZx4+qic+eyqrJLl/6LihX/wvz5l/Du3devha2tKU6e7INChczg4/MBLVtuQkhIlOYujHIdbdwfRERE3+uHSZTXr1+PMWPGYOzYsbh8+TKiohISuxo1amDbtm0AgAEDBqBs2bJ4//49ChUqBBsbG22GnKbEh/nSM/UiNjYeo0cfQ5cuOxAWFoNGjYri0qWfoP+/JZvKlrXCrFlNYWb2NYHZuvUB7t17jzFjTqBQoT/Rt+9eREcn/Pm0aFELnDjRG1ZWCty8+RbOzlsQERGbBVdJREREpB0/RKI8efJk9O/fH3v37sXixYvh7OyMZcuWITo6GuXKlUNcXBy+fPmC0aNH4/Xr1+jZsyfOnDkDd3d3bYeeqvSOKL97F4amTTfgzz+vAAB++60Ojh/vDWtr41TrHT7siuXL26BWrUKIjxf45587cHXdjbi4hIdyypSxxLFjvWBuboALF/zQseM2VSJNRERElNPl+kT5xYsXWLNmDUaNGoWzZ88iNDQUdnZ2WLJkCQIDA9GgQQOYmprCzs4OBw4cwPbt2zF79myMHTsW+/btw7t377R9CSlKHFHW00v52xgdHYeaNVfj3LlXMDXVx+7dXTF7drNU6yTKk8cIgwZVw+XLP+Ho0Z7Q15dh924fNG68Hhcv+gEAKle2xeHDPaFQyHHs2DM0aLAOmzffw/XrAfj0KTLTD0cSERERaVuuT5QjIiLw5s0bVK1aFYUKFYKBgQEWL14MPz8/HDhwAPHx8ejQoQNq1aqFDRs2oFGjRsifPz9+/fVXPHr0SKenX1SpYgsA6Ndvn2qHvv8KD4+Fn1/CQ4kXLvSHi4tDpvpq0aIktm/vDAMDGc6f90O9emvRqtUmXL8egDp1CmPv3m5QKOT499836NlzN6pXX4V8+ebAwmI2KlX6Cy4u2zB69DEsXfovDh16gocPgxATE5+5CyciIiLKBrl+wxF7e3s4ODhg6dKlcHFxSfJQUUREBGQyGcaNG4f379/Dzs4OMlnCnN18+fJpM+x0+fvvdvD3D8GNG2/RuPE/OH26Dxwd8ycpkyePIQwN9RAVFQcTE/3v6q99+zLw9R2OadPO4e+/b+Po0ac4evQp2rcvjSlTGuHp0+GYP/8yLl3yx4sXwXj3LgyhodG4cycQd+4kT+QtLAzh5lYRgwZVQ+nSlt8VG9GPRCaXoemcpqrXutp2VsZJRJQdcv2Isp6eHpo1a4YnT57g5s2E5dASn7jX00t4n2BiYgIzMzMolTlrQfw8eYxw4kRvVK1qiw8fItC48T/JRpYlEgkKFUp4Y/D69feveVy4sDlWrGiLx4+HoW/fipBKJdi37zEqVvwLz559xrx5zXHp0k94+3Y0wsN/x4MHQ3DwYA8sWdIKo0bVQocOZVCxYn6YmuojODgKCxdeRZkyy9CkyT/YufMhYmM5ykyUFpm+DHXH1kXdsXUh00+egIb4heDtzbepfgT5BGWqbU3GSfSjKFq0KJydnQEAnp6ekEgk+PDhA16+fAmJRIJ58+alWNfNzQ0mJhlbBjYreXt7QyKRYOfOnemu8+31ZyUnJyeUL19eo23m6hHl+Ph4yGQyTJkyBR07dkStWrUAAH5+CfNrbW0Tpi7cv38f8+fPR8mSJfH7779DIpFoLeaMSkyWmzXbkOLIcsGCpnj69JNGNwcpXjwP1q3rgPHj68HT0xs+Ph9Qp05h1XkhBBQKOcqWtVK71XV8vBLHjj3D8uXXcejQE5w+/QKnT7+Ara0JBgyoAnf3qqoEn4jSL8QvBMscliE2HavQyBVyKCwV2RAVESXq2LEjSpYsCVNT0wwtQ0vakasS5Rs3bkBPTw8ymQzly5eHTCZDXFwcTE1NUb9+fVW5t2/fAgDs7Ozg5+eHcePG4eTJk7h161aOSpITpZUsa3JE+b/KlLHE1q2dERkZC6k04WsXERGLVq02YfTo2mjXrrTaejKZFK1b26N1a3u8ehWMlStvYPXqW3j7NgxTp57D9Onn0bZtKQweXA3NmpVQtU1ECVtDv72Z8P+YbRVbSGVf/zgY8SECsRGxcNnoAiuH5G9Sv6WwVMC8iHm629ZknEQ5UVRUFAwNDb+rjQoVKqBChQoaikizYmNjIZPJIJXyXk2Ua74SHh4eaNmyJWrVqoWGDRuqtsjV09NLtvKCXC4HANy5cwejRo3C+fPncfXqVZQtWzZZuzlFatMwChZMWD7uzZsvWda/kZFc9XrRois4d+4Vhgw5lK61le3sLDB9ehP4+4/E1q2d0LChHZRKgX37HqNly02oVm0lt8om+kZcVBxW11iN1TVWp7g1tJWDFWyr2Kb68d8kOb1tazJOIm0LDQ2Fm5sbLCwskDdvXnTu3Fn1l+d169ZBIpFg7969qFy5MurUqQMA2Lp1K0qUKAFDQ0PUq1cPjx8/VrX37t07uLi4wMLCAsWKFcOKFSuS9Pft1ItEnz9/RqdOnaBQKFC8eHFs2bIlxXg/fvyILl26wNjYGDY2Npg2bVqKK0y5ubmhZMmSWLBgAWxsbGBsbIzOnTvj06eEXXgTp34sXLgQzs7OMDY2RmhoKG7duoV69erB0NAQtra2mDRpEuLikt7Dfn5+aNKkCYyMjFCuXDmcOnUq3V/zO3fuoGbNmjA0NETp0qWxb98+AMD27dshkUiwYcMGVdmdO3dCIpHg0KFDqdbNKrkiUd6yZQvmzJkDd3d3zJ8/H87Ozpg4cSKWLl0KAKpR4sQfJAcHB1hYWODXX3/F0aNHce7cOVSqVElb4WvMf5PlVq02ITY2HgMGVMH58/0wfny9bIlj5MjaGDeuLlaubAuFIiGBTs8ycfr6MnTrVh7e3m548GAIhg+vATMzA9y69Q716q1Nsr02ERGRJrRu3Rq7d+/G6NGjMXHiRJw7dw6tWrVK8ntrwIABcHJywqRJk7B9+3b07t0bbdu2xYIFCyCEQO3atfHq1SsAQJcuXbBv3z4MGDAAo0aNwvz58/HmzZtUY5g3bx6MjIwwZ84cWFlZwdXVFQcPHkxWLj4+Ho0aNcLjx48xZ84c9O/fH9OnT8fo0aNTbNvf3x8LFizAb7/9huHDh2P//v1o2bJlkjKTJ0+GTCbDsmXLEBgYiNq1a+PTp0+YNWsWXFxcMH36dAwaNChJnYkTJ8LBwQGzZs1CfHw8WrZsiTt37qT59X758iXq1KkDGxsbLFq0CDVq1EDHjh2xd+9etG7dGoaGhkmu/ciRIzA1NUXTpk1TrZtlRC7g4eEhihYtKl6/fi2EEMLHx0dUqFBBlCtXTrx7904olUoRFxenKh8bGyvq1asnJBKJePDggcbiCAkJEQBESEiIxtrMjE+fIoSZ2UwBeIrbt99qNZZEf/99U3TvvlMEBYVnqN7z559EyZKLBeAp8uefqzPXQxmX3vtDV+4jXRYdFi084Sk84Smiw6KTnAu4ESA84SkCbgRovO3UqOs3s21Rynh/aNa5c+cEAPHXX3+pju3cuVM0bNhQvHz5Uqxdu1YAEMOHD1edL126tOjTp48ICgoSQUFB4uXLl8LIyEiMHj1a3LlzRwAQv/76q6r8kydPhFQqFW3atBFCJOQsAERQUJB48eKFACBatGihKh8eHi6sra2Fk5OTEEKIvn37CmNjYyGEEFu2bBESiUTcu3dP1f/o0aOFXC4XHz9+THZ9ffv2FQDEtWvXVMfmzJkjAAhvb29V/xUqVBBKpVIIIUS/fv2EoaGhCAj4ei8PGzZMSKVS8fz5c3HmzBkBQPz888+q82/evBEGBgbCzc1N7dfZzs5Odf0///yzsLe3F+/fv1ddQ61atUTVqlWFEEJ06NBBWFhYiNjYWCGEEAUKFBDdu3dPV92GDRuKcuXKqY0hs3L0iLL437s9IQQiIyNVc4/LlCmDOnXqIDAwEEqlEhKJBDKZDEqlEv/3f/+H27dv48iRI3j27FmOnm6Rkjx5jFRrLN/83/xAbQoPj8HYsSewdet9lCvnhd27fdJdt1ixPLhwoR8qVsyPwMBwNGy4Dhcu+GVhtERE9KNIHAFt1aqV6linTp3g7e0NOzs71bHE81++fMHjx4/xzz//wMrKClZWVihatCgiIyNx584dPHz4EACSrPBgb2+PIkWKpBpH48aNVa8VCgWaNWuGe/fuJSt3/fp1CCHg6Oio6n/+/PmIjY2Fj4/6362mpqaoVq2a6nMXFxcASNJ+y5YtVX99v3PnDqpXr65a8AAA2rdvD6VSievXr6uNuUCBAqhWrZramNVdg6+vL6ytrVXXcOXKFdX3olOnTggODsaFCxdw584dBAQEoGPHjumqmxVy9MN8id/UTp06YerUqVi2bBkWL14MU1NT6OvrIyoqCsHBwapv9vLlyzFt2jTcvn0bu3btQrFixbQZfpaqUsUG3t4vce1aAFxdHbF69U08f/4Z48bVS3Prak0zNtbH0aO94Oa2Fw8eBKFTp+0oU8YSHTqUxsiRtdOMJ39+E3h7u6Ft2y24cMEPjRqtR926hdG0aXE0bVoc1aoVSNdOg0RERN+KjU14jubb5WFjY2MRHh6eZEk2KyurJOX69OmD3r17J2krb968eP36NYCvy88mSmv5WfGf6YlSqTTZnGAgYeqFVCrF0aNHky0+UK5cuVT7+LZtAEnaT7w+dbGk91hKMf9XfHw8KlasmGxJvMTradu2LfT19XHo0CHky5cPhoaGaN26dbrqZoVckV1UqFABixcvRuPGjaFQJCx19ObNG+TJkwcFChQAAPj4+CA4OBjz58/H3LlzVQ/05VYNGxYFAOzalfAOc+nSa/jzzyuYNOm0VuKpVq0Abtxwx8SJ9SGXS/Ho0QfMmnURxYotwrhxJ/DhQ0Sq9S0sDHHsWC906FAGcXFKnD37CpMmnUHt2muQL98ctG+/FTt3PsymqyEiotwg8a/KJ0+eVB2bNWsW8uTJg8DA5BtlmZubw9bWFu/evUPTpk3RtGlT1K1bFytXrsTTp09V7R07dkxV586dO6qHA1Ny9OhR1evo6GicOnUKDg7Jd9J1cHCAUqmEsbGxqv93795h1apVMDZWP+j05csXXLhwQfX54cOHVW2p4+joiGvXrqn+Sg8A+/fvh0QiQZUqVVTHjhw5onodFBSEa9eupdjmf6/B398ftWrVUl3DyZMncfbsWQAJX+OmTZvi4MGDOHLkCJo3b666trTqZoUcPaL8rcGDB6t21QMSvmnW1tYwNjaGj48PRo0ahWPHjiEgIECnt6XWlFatSsLa2hjv34fjyJGn2LOnG2bMOI8//2yhtZgMDPQwbVpjjB5dGydOPMfcuZdw/XoA5sy5BC+v6xg+vAZGj66NfPnUr+uqUMixe3dXPHv2GSdPPsfJk89x+vQLfP4chf37H2P//sf488/mGDmydjZfGRER5UTNmjVDpUqVMHLkSLx79w4SiQSzZ89G27ZtUbBgQbV1fvvtN4wcORK9evVCgwYNsH37dly5cgXTpk1DyZIl0aZNG8ydOxfR0dEoVKgQFi9erNroLCVXr15Fp06d0LhxY2zbtg0BAQGYM2dOsnK9evXC5MmT0bVrV4waNQqRkZGYMWMGevbsmeIAoFQqRdeuXTFy5EiEhoZi3rx5KF26NJo1a6Y2gR8/fjy2bNmCJk2awN3dHU+ePMFff/2F3r17o0SJEvD39weQsEKFXC6Ho6MjVq9ejejoaAwdOjStLznGjBmDbdu2oXnz5ujduzfu3LmDFStWYOPGjaoynTt3Rv/+/fHkyRP8/fffGaqrcRqd8axDateuLerVqyfu378v2rRpI8zMzMTNmzeztE9de8jit9+OC8BTtGmzSduhqKVUKsX+/Y9ElSorBOApAE9hajpDTJx4Snz8GJGuNuLi4sW1a2/EkCEHVW0sWXI1iyOnzODDfJoTFx0nznicEWc8zoi46Lgk5773Yb7U2k6Nun4z2xaljPeH5gUFBYlu3boJExMTkS9fPtG7d2/Vg3GJD/N9+zCcEEIsWrRIFC5cWBgaGopatWqJc+fOqc6FhoaKPn36CFNTU5EnTx4xceJEUbNmzVQf5ps2bZpo1qyZMDAwEFZWVuLPP/9Utfftw3xCCPHixQvRokULYWRkJPLnzy9GjhwpoqKi1F5bYt3169eLokWLCn19fdGgQQPh5+enaguAmDt3bpJ6V69eFbVq1RL6+vrC2tpajBs3TkRHJzyQm/gw39KlS0XNmjWFXC4XhQsXFps3b07xa/ztw3xCCHHq1ClRoUIFoa+vL0qWLClWrlyZpPzHjx+Fnp6e0NPTE58+fUpyLrW6WfEwn0SIdKzblYMkXk7Lli1x/fp1lC5dGnfv3sWFCxeyfAm40NBQmJubIyQkBGZm2t9V7vHjDyhTZhmkUgn8/EagYMGEmIQQmD79PKytjeHuXlXLUSbEs3//Y3h6nsXt2+8AAH/91QY//1wtjZpJ25g48TRmzryQqfqU9dJ7f+jafZTTvL35FiurroT7DXfYVrFNu0IO7/dHw/uDMsLNzQ07d+7kDoDfIVfMUf6WRCKBRCLBkCFD8PnzZ9y6dQuXLl3KFeskZ1Tp0paoX78IlEqBdetuq47v3/8YkyadwZAhh3D06FPtBfg/EokE7duXwY0b7ti9uyvatLFHv36VVefv3QvEly/RabYxfXrCtA4AGDToEP7++1aWxk1ERES5W65LlBM5OTlh9OjRuHXrls5uFZkdBgxImHj/99+3oVQmjLa3a1caffpURHy8QNeuO3D3bvIHFrRBKpXAxcUBBw+6Ql8/Yb55bGw8XFy2oXjxxbh69XWq9SUSCebObYZff60JABgwYD/++Sfrlowh0hahFHj/4D3eP3gPodTsHwU12XZWxklElB1ybaJsbm6OmTNnokyZMtoORas6dy4LMzMDPH/+Gd7eLwEkJJSrVrWFk1NRfPkSg1q1VsPFZRvWrr2F9+/DtRvwf/j5hUAmk0IiAcqWtUqzvEQiwYIFLTB4cDUIAfTrtw+bN6e9riNRThIbGYvl5ZdjefnliI1Me5t4bbWdlXESUdrWrVvHaRffKdcmykDydQx/RAqFHK6u5QEAa9Z8nYqgry/D7t1dUb16AURGxmHv3kfo338/bGzmoW7dvzF79gX4+ASla+vprFSiRF48eDAEZ870halpwlPDSqVAjx67sGvXQ7XxSSQSLF3aGgMGVIZSKdCnzx7s2PEgu0MnIiKiHC5XJ8qU4KefEqZf7Nr1EJ8/R6qO58ljhKtXB+DmTXd4ejZElSq2EAK4dMkf48efQtmyXihdeinGjz+p1YRZT0+KcuWsVZ/v3u2DrVvvo3PnHahRYzVOnHimZuFzCVasaAs3t0qIjxdwdd2NvXsfZXfoRERElIMxUf4BVK1qi4oV8yM6Oh4bNtxNck4ikaByZVt4eDjhxg13+PuPhJdXa7RsWRL6+jL4+n7CtWsBGt31JjIyFtWrr0KLFplb97BZs+KYNKkBjI3luH49AM2bb0S+fHPQt+9eREd/3RVIKpVg9eq26NnTEXFxSnTtugN37rzT1GUQERFRLsdE+QcgkUjw888Jy8AtXHgFcXEpb6VZqJAZBg+ujiNHeuLDh7HYubMLxo2rq9F4Vqy4gevXA1CwoKnqmBBC9bBhWszNDTFlSiM8f/4rfv21JgwMZPj8OQr//HMHffvuTdKOTCbFunUd0KxZccTGKrFpE+crExERUfowUf5B9O1bCZaWCrx4EYxdu9K31bOpqQE6dSqL5s1LQAiBsLAYxMenvl99egwcWAV//FEfTZsWVx07fNgXlSuvwOHDvulux9raGAsXtsTnz+Owe3dX6OlJsW3bA/z224kk5fT0pPjpp4Tl5g4cePLd8RMREdGPgYnyD0KhkGP48BoAgDlzLmV4zrGNzXyYms7Eo0cfvjsWY2N9TJ3aGK6ujqpjc+dewt27gTh79mWG2zMyksPFxQFr17YHAMyffxmLFl1JUqZly5LQ05Pi0aMPePr003fFT0QpC/IJwtubb/H25lu8u/11qtO72+9Ux0P8QrQYIZHuefz4MapXrw5jY2M0b94cr18nLIf68OFD1KtXDwqFAra2tvD09FRb/+zZs6hSpQoUCgUqVaqEEye+DhjNmjUL+fLlQ9OmTREcHAwAiImJQcWKFVWf6wKJRIKdO3dqrX5KmCj/QIYOrQ6FQo6bN9/i1KkXGaprbJywh/yXLzGZ7j8mJj7Fc7t3d8PEifXx229fp3m8ehWMf/99k+72e/WqgJkzmwAARo48hp07v46cm5sbokEDOwDAgQOPMxo6kU6RyWWoPaY2ao+pDZlcphNtKywVkCvk2NNrD1ZWXYmVVVdibb21qvNr661VHV/msIzJMtH/REdHo0WLFqhSpQqOHj2KL1++YPDgwQCAUaNGISYmBvv27cPo0aMxefJkXL58OUn9yMhIuLi4oFq1ajh69CgqV66MLl26IC4uDoGBgZgzZw42b94MPT09rFmzBgCwZs0auLi4wMLCItuuMyYm9fzh1q1baNasWTZFkwEa3RD7BxcSEiIAiJCQEG2HkqLhww8LwFM0a/ZPhuoFBYWLL1+ihVKpzHTfPXvuEm3bbhZPnnxIV/nevXcLwFNMnuyd7j6USqUYMuSgADyFgcFUce7cS9W5BQsuC8BTNGq0LsOx0/dL7/2RE+4jXRZwI0B4wlME3AjI9r6DXwWLgBsBqX7c2XhHa/HlBrw/slZ0WHSKH7GRsekqm1G7du0SZmZmIjo6oe7Lly+Ft3fC7722bduKDh06iA8fPogzZ84IAOLmzZtJ6n/69EksWbJEBAcHi7CwMDFu3DhhaWkpYmNjxaVLl0TdunWFEEKsWLFC/PzzzyI6OlqUL19efP78OdW4PDw8RP369UW/fv2EkZGRcHJyEhcuXBAlSpQQZmZmYvLkyUIIIWJjY8WwYcOEpaWlMDY2Fp06dVL9fAIQ06ZNE8WKFRPjx48Xr1+/FvXq1ROGhoaiS5cuom7dumLo0KGqsjt27BAvXrwQAMQ///wjChUqJKysrMTq1avT1deOHTsy/PVPCxca/sGMGlUbXl7XcOLEc9y69RaVK9umq56lpeK7+n3zJhTbtz9AbKwSnp5OaZZXKgX09WXQ05OiTRv7dPcjkUiweHErBASEYe/eR1i//g7q108YSW7bthRGjjyGs2dfYdu2++jWrXxmL4eI1DAvYg7zIubaDoMo02aazEzxnH1re7geclV9Ps96HmIjkm+k4yE8MtTntWvXYG9vj65du+LkyZOoXbu2auR3wYIFqF27NiwtLQEAI0eOROXKlZPUz5MnD4YNG4bg4GCYmJhAIpFgw4YN0NPTg7W1NXx9fREYGIjLly/Dzs4Oq1evRseOHdM1mnzx4kU0a9YMW7ZsQefOneHq6oo1a9Zg3759mDx5MoYPH46dO3di7dq1WL9+PfLmzYtevXph2bJlmDBhAgBg0aJFWLJkCWrXro3u3bsjJiYGBw4cwOHDh7Fz505UqlRJbd8rVqzAxo0bsXbtWgwbNgx9+vTBunXrUu0rK3DqxQ+maFELVYI4d+6lbOu3YEEz3Ls3GIsWtUSVKmkn5wlLu7WDn98IVK1aQHV89eqbmDPnIqKi4lKsK5NJsXlzRyxY0AIrVjirjpcokRfu7lWgVAr07Lkb27bd/76LItISoRQIfhmM4JfBWbKFtabazso4iXKLjx8/4ubNmyhTpgz279+PoKAg/PzzzwCAgQMHws7ODmfOnMH8+fOxaNEinD17Vm07pqamOH/+PHr06IHBgwfj48ePKFGiBBo0aAAbGxscPnwY3bt3h5eXF0aMGIHBgwfDwsICnTp1SnFaRP78+TFp0iS0b98eJUqUQKdOndC0aVMMGDAASqUSb9++RfPmzXH16lW4uLjA1tYWJiYmePPm67RJd3d3dOvWDRKJBBcuXMC8efPQtGlTzJ8/H7a2KecDf/zxBxo2bAh3d3dERUWlq6+swBHlH9DYsXWwefM9bNv2ANOnN0axYnnSrLNu3W2cPfsKXbuWRatW6R/h/Vbp0pYoXdoyQ3Vsbb8uIRccHIVx407i06dI5M9vjL59K6VYz8hIjhEjaqk+F0IgMjIOXl5tEBOjxLp1t9Gz524A4Mgy5TixkbFYVGwRAGBC2AToG+vrZNtZGSdRVpgQlvLIpFSWdGxxzPsxGunTxMQElpaWmDlzJiQSCf744w+4uroiMDAQZ86cwdGjR+Hk5AQnJyfs2LEDu3btQsOGDVX1nz59ijNnzmDgwIGoV68eKlWqhC1btuDs2bPo2LEjduzYgVevXsHGxkY1muzr64uDBw9i9+7dGDlyJPbu3YuuXbsmiy1v3ryq13p6ejAzMwMAGBgk7pSrREREBIYPH45nz56hTJkyiIqKStJGuXLlAECV0JYoUQJAwl+AixQpkuLXJXEUXV9fX9VXZGRkqn1lBY4o/4AqVbJB8+YloFQK/Pnn5bQrADh//hXWrbuNW7cytmFHfLwSgYGZ32deCKFaocPMzAALFrRAy5Yl0bNnBVWZCDV/+vpWTEw8+vTZi/bttyI+XmD16q879nFkmYiIEukb66f4oWeol66yGWVvbw+lUqn6XadUKiGVSmFiYgKpVIq4uK9/QY2Li4OpqWmS+q9fv4a7uzvevUv4/ZzYjomJiaqMnV3CFEQvLy+MHDkSz549Q8OGDdG4cWO0bt0az58/z3DcicaPHw+FQoEXL17g2LFjKFiwYJLzcnnCYgDW1gk77Cb2pVQqM9xvWn1lhUwlyn5+foiMjEx2PDw8PMuHwEkzEjcRWbPmFh4+DEqzvKlpwrvHJ08+ZqifgwefoESJxZg583yGY4z4GIFV1VZhZdWVCH0dCqlUgj59KuLIkZ7Q00v40RVCoHHj9Zg48VSKS949ffoJe/b44OTJ5/DyugaZTJokWXZ13Y2mTf/BsmX/4s2b0AzHSURElFkdOnTAly9f8Ntvv+H06dOYPn06WrdurVoqbtKkSThz5gzmzZuHGzduoG3btggLC8Pt27fx6dMn1KpVCwUKFMDw4cNx/vx5DBo0CLa2tqhVq1aSflatWoWOHTsiT548KFKkCJ49ewYAePLkCYoVK5bp+KOjoxEQEIDLly9j5cqVuH79Ol6/fp0sTyxevDgqVaqEsWPH4vTp0xg5ciQ+fcrYcq3p7UuTMpUoFytWDHv37k12fOfOnbC3z9yf5Sl7NWpUFA0a2CEyMg5OTutw4sSzVMs3bJjwbnT9+juYMSP9SW94eCzCw2OxbduDDMUXHxuPHV12JKzFeusdrv91XW25a9cCcPXqG8ybdxm+vupvuLJlrXD6dF/4+g5XTcdITJYHDkyYs3zq1AsMG3YEhQotQM2aqzFr1gW8ehWcoZiJiIgyytbWFhs3bsTu3bvRvn17FC9eHCtWrAAArF27FnZ2dujQoQOWL1+OtWvXolatWrh+/ToqV66M/fv3w9DQEPv378eTJ0/QvHlzvHz5EocOHVJNkwASEkwvLy+MGjUKAFC3bl04OjqiePHiUCqV6NChQ6bjnzp1KqKjo9GyZUscPHgQw4cPx8mTJ/Hy5ctkZbdt24aoqCi0adMGYWFhqF27NiQSSZb0pSkSkdIwnBr9+/cHAKxbtw4NGjRA8eLFk5y/ePEi3r17h5CQH3N9zNDQUJibmyMkJCTJD6iu+vgxAk2bbsDt2+8gkSSMMk+Z0gjyFNZOnTnzPH7//TQAYMaMxpgwoX6afYSEROHy5ddo0qRYiu2qc3j4YVxbeg0AUKZDGXTd1RUSqfqbafHiqyhXzgpNmhRXez4tiSPOe/c+xuXL/ki8I4yN5Th40BVOTkUz1S4lld77I6fdR9oQEx6jejr/v3N/3958i5VVV8L9hjts0/HgbEba1kRb3xvfj473B+VUQghs374dderUQeHChQEA5cuXh6urK37//XctR5eyDD3Mt337dkgkEkgkEly9ehU3btxIct7U1BQeHhlbFoW0J18+BS5d6o+RI49hxYobmDXrIry9X2HLlk4oWtQiWfnExPj330+rEua0kmVzc0O0bFkyQ3HdXH1TlSR329sNZdqXUZ1TxikR/SUaRnmMVMd++aVmhtqPiYmHvv7XpL1kybwYO7Yuxo6ti3fvwrB//2OsXn0T164FoHXrTThwoEemk3AiIiJKeHhv9uzZsLS0xJQpU3DlyhU8fPhQNzcZ+UaGpl6EhYXhy5cvEEJgzZo1+PLlS5KPgIAA1bA+5QxGRnL89Zcztm/vDHNzA1y58hqVKv2FXbseqi0/YUJ9TJ/eGEBCwjxr1gWNxuN3wQ+HhhwCADhNcUqSJMfHxmN3z91Y77QeER8j1NZ//z4cV6++Vnvu06dIuLhsg7n5LGzadFftnGYbGxO4u1fFuXP90Lq1PSIj4+DsvAXHjj3VwNURERH9uDZt2oSIiAg0atQIS5cuxcqVK1G9enVth5WqTM1RfvHiBVxcXPDw4UNs2bIF79+/x8ePGXvIi3RLly7lcOvWz6hZsyBCQqLRufMODB58EJGRyVeU+P33+pg2rREAYMKEU5g9O+1kec2am6hdew0uXvRLtVxYYBikMinKdi6LBn80SHrubRhenXuFwLuB2NBsAyI/J528f/Xqa9jbL0HnzjvUroRhYWGI0NBoREXFoVevPejadSc+fFCfcBsa6mH37q5o27YUoqLi0L79Vhw+7JvmdRJlB6meFNWGVEO1IdUg1dPs4kWabDsr4ySinMfBwQEXLlxAZGQknj59igEDBmg7pDRl6n+uggULonfv3ihfvjx69eqF+/fvY+DAgWjVqtUPOz85NyhWLA/On++H8eMTVsT4668bqFFjtdpVMSZObICpUxOS5fHjT2HOnIuptn3unB+uXHmNzZvvpVqubKey+OnyT2i/rn2yCf7mRczR51QfKKwUeHfrHTa22IiokK9rKFaokB958hjC2toY794lX5JOKpXg2LFemDLFCXp6Uuzc+RDly3vh4MEnamMxMNDDzp1d4eJSBtHR8XBx2YYDBx6nGj9RdtAz0EObZW3QZlkb6Blodjl8TbadlXESEWWHTCXKY8aMgbe3NxYtWqT68/WgQYNw8+ZNjB49WqMBUvaSy2WYObMpjh3rBWtrY9y//x7Vqq3EmjU3k01V+OOPBpgyxQkAMG7cSSxceCXFdgcProZFi1pi0qSGyc4JIRD56evosE0lmxQfILIqa4W+p/vCKJ8RAq4FYFPLTYgOjQaQMI3kzJm++PffASheXP0mKnp6Ukya1BBXrvyEsmWtEBgYjrZtt2DAgP0I/V8739LXl2Hbts7o3LksYmLi0bHjduzZ45PidRIREVHukalEecOGDRg9ejRcXb/ued68eXOMGzcO+/fv11hwpD3Nm5fAnTuD0KxZcURGxmHAgAPo3XsPYmPjk5SbNKkhpkxxgqmpPmrUSHnh71q1CuGXX2rCxsYk2bkLsy5geYXlCLgekK7YrMtbo8/JPjDMY4jXV15jU+tNiAlL2H6zWLE8kMnS/rGuWrUAbtxwx+jRtSGRJKwnXaHCcpw9+zJZWblchi1bOqF79/KIi1OiS5cd2LEjY8vdEWmSEALhQeEIDwpPcf1wXWg7K+MkIsoOmUqU4+PjYWxsnOx4dHQ0oqOTj8pRzmRjY4KjR3th9uym0NOTYtOme+jRY5faZPnhw6GoU6dwhvt4fOAxTk88jS9vviDgRvoSZSBh1Ln3id4wMDfA2xtvEXg3MMl5pVJg7dpbuHJF/YN9QMI85HnzmuPMmb4oWtQCr16FoFGj9Rg9+hiiouKSlNXTk2LDBhf06lUB8fECPXrswpYtqU8jIcoqsRGxmGc9D/Os5yE2jZ0ptdl2VsZJRJQdMpUod+vWDQsXLlQtDxcUFIStW7di7ty5aNOmjUYDJO2SSiX47be62L+/O/T1Zdi1ywcTJpxKVq5Qoa/reQYEfMHr18l3uFMqBY4de4r+/ffh9etQRIdGY3fP3YAAqv5cFdV+rpah2ApULYDex3ujx8EeKPyfJH369HPo338/Bg06mCyx/6+GDYvi7t1BGDCgMoQA/vzzCtq02ZysnJ6eFOvWtVft6Ner1x5cT+coOBEREeU8mUqUFy1ahDJlyqBly5YAAFdXV7i6uqJYsWJYunSpRgMk3dCqlT3Gjq0DAHj1KuUHNjdsuIOSJRdjzJjjas+PH38Ka9fexsiRxyCEUD0J/8n3E2LVrLCRloI1CqL4N2scRwUnPNzn7l4VtrYmGDy4Wro2OjE1NcCqVe1w4EAP6OlJcfr0C7x48TlZOZlMijVr2sHJqSiUSpHmKh5ERETp4eXlhWLFisHExATNmzfHixcv8PDhQzRu3BgmJiYoWbJkitNbz549iypVqkChUKBSpUo4ceKE6tysWbOQL18+NG3aFMHBwQCAmJgYVKxYUfU5pSxTibKhoSEOHz6My5cvY8mSJViwYAGOHTuGGzduIG/evJqOMdtwDl3q/PwSEuSKFfOnWKZiRRtERcUljBhHJ52+IJVKsGdPN3TuXBYrVjjD0NwQPQ/3hL6JPl6cfoHtHbcj7j91MuLtrbfwKueFK4uuIH9+E/j6DsfPGRyldnYuhYYN7dCkSTG1D/clXkeJEgkPC4aH88/JRET0fa5cuYLhw4dj9OjR2LNnD0JDQzF8+HB06tQJCoUCR48eRZ8+fdCjR49kyW1kZCRcXFxQrVo1HD16FJUrV0aXLl0QFxeHwMBAzJkzB5s3b4aenh7WrFkDAFizZg1cXFxgYWGR/Rebw2R6vZ6PHz+iaNGiqFmzJi5cuIAjR44gNDQUnTp10mR8We7NmzeIj49HgQIFoKfH5YtSc/v2OwCpJ8oVKuTH9evuqFzZRu3+7UWLWmDHji6qzwvVKgTXw67Y1HITnh59Cp/dPnDs4Zip+F6eeYkvAV9wbOQxWBS1SLJZSXR0HJ48+QhHx5RjT3TiRO809543NpYDAML+9xAhERHlfDHhKf+fLpVJoWeol2bZzGz7bmJigjVr1sDNzQ3v37+HsbExwsPD8ejRI6xcuRL16tVDvXr1sGTJEhw5cgQ9evRQ1Y2KisKUKVPQu3dv6Onp4fDhw5DLE35HPX/+HGXLlkWLFi3w6tUr3Lx5EzExMfDy8sL58+czHOePKFOZ4alTp9CuXTusXbsWJUqUgJOTE5RKJSQSCZYvXw53d3dNx5klpk2bhrVr1yIoKAhWVlY4cOAAypYtq+2wdFJ0dBx8fD4AACpVskm1bJUqtulu9+DBJ7h40Q8D9nXDu5vvMp0kA0CtkbXw4fEH3Fx5E7tdd8PtnBsKVC2ADx8i0K7dFjx69AHXr7unuHRcorSSZAAw/t9/hOGp/KdKREQ5y0yTmSmes29tD9dDX1f7SukhVQ/hkeF+y5cvj/Lly2Pv3r1wcXFBnjx5cOHCBdSpUwfbtm1D5cqVcebMGXz8+BFPnybdKTZPnjwYNmwYgoODYWJiAolEgg0bNkBPTw/W1tbw9fVFYGAgLl++DDs7O6xevRodO3bkaHI6ZWrqxYQJE2Bvb4+aNWti7dq1sLa2hp+fH1xdXbFo0SJNx5glduzYgWnTpqFz584YNmwY3NzckiTJGZ2GER0djdDQhAfYQkNDc93qHw8fBiEuTom8eY2SPLiXmuDgKCxb9m+KX8uXL4PRseM2zJp1ETc+RaHub3VV52IjYyGUGfseSCQStFnWBiValEBsRCy2OG9B8KtgmJjoIz5eQIiv00fS4927MAQFhas9Z2KSmChz6kV65Pb7g4hIExo1aoSjR4+iWLFiGDBgAFauXIl169bB1NQU48aNQ6lSpfDlyxe1dU1NTXH+/Hn06NEDgwcPxsePH1GiRAk0aNAANjY2OHz4MLp37w4vLy+MGDECgwcPhoWFBTp16oSYGA76pCRTI8r379/H3LlzYWdnh3PnzqFDhw4oVKgQmjRpgl27dmk6xizx8OFDFC1aFL///jvMzc0RFxeHkydP4t27d2jWrBny5cuXoakYM2fOxOTJkwEAhQsXhoeHBzw9PbMo+uz37bSL9Iy4xsTEw9FxOV6/DkWhQmZo/800iERFi1pgzpxmuHXrHVxcvpkm8SUam9tshmUZSzivcE5Xf4mkelJ02d4Ff9f7G+/vvccW5y3od6Efdu/uioiIWNjb50tXOyNHHsXChVcxbVojTJzYINn5xKkXTJTTJ7ffH9lNqidFxb4VVa91te2sjJMoK0wIm5DiOel/1ugf836Mxvo9d+4cvnz5gjZt2qBFixaIj49HmzZtcPDgQQQFBcHPzw8lSpRA0aJFkS9f0t9jT58+xZkzZzBw4EDUq1cPlSpVwpYtW3D27Fl07NgRO3bswKtXr2BjY6MaTfb19cXBgwexe/dujBw5Env37kXXrl01dj25Sab+58qXLx8CAwNx9+5dPHjwAI0aJWxlfP78eVhbW2s0wKwik8nw/v171TyeKlWqoHnz5ujTpw8qVqyI5cuXZ+hp0AkTJsDf3x8A4O/vjwkTUr7ZcqLERDmtaReJ9PVl6NOnAgDg999PIz5eqbbciBG1sG5d+yQrU/hf9If/RX/cXHUTR389muHRfQMzA7gecoWJrQne33+P03+cRsGCZkmS5C9fUh/RLF3aEkDCqLc6iVMvOEc5fXL7/ZHd9Az00GFdB3RY1yFLtrDWVNtZGSdRVtA31k/x49v5yamVzYzTp08n2dlYqVRCJpOhR48eOHDgAEqXLg0/Pz+8efMG1aolfUj99evXcHd3x7t3Cb+nE39nmph83eDLzs4OQMLKGiNHjsSzZ8/QsGFDNG7cGK1bt8bz588zFfePIFOJsqurK6ZNm4aqVavC0tISrVu3xqBBg7B27Vr06dNH0zFqVOIPUKVKlaBUKrF8+XIMHToUsbGx2Lt3L44cOYI6depg/PjxOHfuXJI6qTEwMICZWcKUBDMzMxgYGGTdRWjB7dsJG3r8N1GOjY3H3buBWLfuNn755Qjq11+LgQP3QwiBsWPrIk8eQzx8GIQNG+6m2Pa3I8Z//nkZ/gYytPu7HQDg3yX/4vjo4xmehmFe2Bw9DvSAQycHNJneJMk5H58gODoux+LFV1Os36NHeQQGjsGqVe3Unv86osxEOT1y+/2RXUL8QvD25ttUP4J8grQdJhFlkIuLC548eYKpU6fizJkz+OOPP9CqVSvkz58fU6dOxblz5zB8+HCULVsWjRo1QlhYGG7fvo1Pnz6hVq1aKFCgAIYPH47z589j0KBBsLW1Ra1atZL0sWrVKnTs2BF58uRBkSJF8OzZMwDAkydPUKxYMW1cdo6Qqbf4M2bMgIWFBT58+ID+/fvD2NgYdnZ2mDVrFsaM0dyfIjTp0aNHsLOzg5GREQDA2dkZDRs2xOzZs+Hg4IC2bduiXbuEpKhGjRpo3rw55syZg3bt2mXoT/+5UXh4DO7cSXinGhenxMqVN3Dz5lvcvPkWd+8GIjo66YYeFy74oUOHMmjTphQmTKiH3347CQ8Pb3TvXh6Ghin/yG3YcAejRx+Hqak+Hj4cCucVzjj480FcWXAFQQ+D0HFjRygsFemOu0DVAui6M/mfko4ceYpXr0Lg5XUN7u5V1cZkbm6Yatuco0zZLcQvBMsclqVrhzu5Qp6he+VbQghVH3KF/Lv+/9NkW0S5WcWKFbFu3TpMmDAB8+bNQ6tWrVT7UvTt2xetWrWCo6MjDh8+DKlUiuvXr6NRo0ZYu3Yt3NzcsH//fvTv3x/NmzdHlSpVcOjQIdXgBJDwnIiXlxcuXrwIAKhbty4cHR1RvHhxVKxYER06dNDGZecIEpHOv2s7Oztj2LBhaNmyJfr374+ff/4ZNWvWzOr4NGLbtm1wc3PDunXr0LZtWygUCb9AXr9+jV69euHcuXPo3LkzVq9eDTMzMyiVSnTp0gXPnz/HrVu30t1PaGgozM3NERISkuQHNKcbMGA/1qxJ+etgZmaAKlVsUaWKDV6+DMHu3T6oW7cwzp/vh6ioOJQsuQQBAV/g6dkQHh5OKbYTFRWH1q03oVWrkhg7NuHBvjsb7uDgzwcRFxkHi6IWcDvrBvMi5hm+BiEELs27hILVC8KuoR0WLryC3r0rwjKNZEIIgZMnn6Np0+JJfsmfPv0CTZr8Azs7czx9+gv0OP8yTem9P3LrffS93t58i5VVV8Jlowssilpgbb21AIB+F/pBbiRPUlZhqcjUfQIkLHmV+OT/hLAJmf5TckptJV6H+w132GZghRxKwPuDKHule0T55MmTyJs3LxQKBdatW4dChQql+OR6gwbJH37SplKlSiE6Ohrz5s2DVCqFs7MzjIyMYGtri5kzZ+KPP/7AoUOHsGLFCnTu3BmhoaF48+YN8ufPj+joaOjr6//QIyHfXnrevEaoVq0AqlSx+V9ybItixfJAKk0o9PbtFxw69AQXL/rD2/slGjUqhpkzm6Bv373w9DyLcuWs0bmz+iX4DA31cPx47yRJZ8XeFWFT0QbbOm5DTFgMolPYBCQt15dfx8nfTqJS/0oo6lQUI0fWTnL+yBFfNGhgp5p7nGj48CNYtuwa5s9vjlGjvtZxdLSGsbEcr16FYMyY41iwoMUP/TNC2cfKwQr5Sn+db29Tyea7klkiIkpZuhNlZ2dnbNy4EZs2bYJEIsH06dMxffr0JGWEEJBIJIiPj0+hFe148eIFAODGjRuYMGECJBIJWrduDYVCgZo1a2LNmjX49ddfMXnyZMyYMQNmZmYICwvDuXPnOJcSwOLFrQAkzCVetKgljP4zevUtW1tTDBxYBUuXXsPkyWfRqFEx9OlTEdevB2DJkn/Ru/ceFClijho1Cqqt/22SHBsbj0mTzmDkyFpw83ZDbGQs8qVz1Yr/ymufsGPk0yNPVT+niS5f9kfbtltQqlQ+XLjQH3nzGqnOlSqV0N/YsSdQpowlWre2BwBYWRlj/foO6Nx5BxYtugoTE31MndqIyTIREVEuku5EeefOnbhw4QICAwPRpUsX/PLLL6hfv35WxqYRsbGxqv3T+/bti7///ls1j7pNmzYwMjJC0aJFsW/fPmzatAnPnj2DTCZD9+7dUaJECS1HrxuMjOQpPtSmzrhx9bBy5U2cPfsKZ8++RMOGRbFgQQs8f/4Zhw75ol27Lbh6dQDs7CxSbefXX49i+fLrOHnyOa5eHQDZN0vzvPn3DSwdLGFgmr43MnYN7CBXyBH2NgyBdwJh881DifHxAtbWxqhY0QZ58iSdmzx8eA3cv/8eq1bdRPfuO3HlygCULWsFAOjUqSz+/LM5Ro06junTzyMuTomZM5swWSYiIsol0p0oDxs2DF27dkWnTp3g4eGBTp06oXz58lkZm0bExcWhXLlymDZtmmrnm9GjR2Ps2LEAvibLANCzZ09thpprFCpkhv79K+Gvv25g6tRzaNiwKGQyKbZs6YT69dfizp1AODtvwYUL/VJ9aG7kyFo4evQpPD2dkiTJT489xbYO21CodiG4HnJNNj9THT0DPRRrUgxPDjyB72HfJIlyvXpFcPv2IBga6qmS3JiYeERHx8HU1ABLl7bGkycfcfbsK7RtuwX//jsA+fIp/hdjbchkUvz661HMnn0RcXFKzJ3bjMkyERFRLpDuJ5BWrVqFvXv3ws/PD1OmTMGZM2fg5+en9kNXxMXFwcjICAsWLECNGjVgYmKCVq1aYe7cuQCAsWPH4tChQ4iKigLwdRm4jK7bS8mNH18PcrkUp069wMWLCT8TpqYGOHCgB2xtTXD//nt067YzxfWVAcDePh8ePRoGZ+dSSY4b5TWCVE+Kl2deYkeXHYiPTd9UH/v/TZt4vP8x4mOS1rG2NoaZ2dfR6fHjT6JmzdV4+/YL9PVl2LmzK4oVs8Dz55/RufMOxHxT/5dfamLZstYAgPnzL2PkyGP8GSIiIsoF0p0o16pVCwsXLkSxYsUghMCIESNQrFgxtR/acuPGDdy5cwf3798HAOjp6UEIAalUCqlUCiEEjIyM4OzsrEqWJ0yYgF27diEqKko1CsjRwO9nZ2cBN7dKAIApU86pjhcubI4DB3pAoZDD2toYsbEpJ8pAwsYliT5/jsTSpf+iQLUC6HGwB/QM9eB7yBd7eu+BMpWEO1HJViUBAG+uvsGOLjtSLBcSEoUdOx7Cx+cDTp9OmN9uaanAgQM9YGKiD2/vlxg+/HCSZHjIkOpYscIZALBo0VUMH34Eygyu/UxERES6Jd1TL44ePYpdu3YhMDAQY8eORffu3VGlSpWsjC1DPDw84OXlhbCwMCgUCowZM0b14F7iw1uJCbChoSGcnZ0hlUrRr18/1XrJhoapr51LGTNhQj38/fctHD/+DFeuvEatWoUAAFWrFsDt2z+jZMm86X5TEh0dh4YN1+HevfeIiYnHqFG10XV3V2xtvxUPtj2Avqk+2q5sm2p7FnYWaDqnKa4suILSHUqrjoe9C8P1FddRoVcF5C2RF+bmhjh71g0XL/qhZ88KqnLlylljy5ZOaNduC1auvAlHx/wYNqyG6ry7e1Xo6UkxYMB+LFt2DXFxSnh5tVGtCEKkKVKZFGX/t3rMf7fV1aW2szJOIqJsITLBzc1NXLlyRUyZMkU4OzsLZ2dn4enpKT59+pSZ5r7b5s2bhaGhofj999/FsmXLRJ8+fYREIhFLlixJtV5ERITYt2+f8PX11UgcISEhAoAICQnRSHu5Qb9+ewXgKVq12phimfh4pQgMDEuzrQULLosCBeaLu3ffqY7d335fTJZOFp7wFMfHHk9XTPFx8SIuOk71+aX5l4QnPIUnPMWaOmvEteXXRMTHiCR1oqJixadPCcfmzr0oAE8hk00Wx48/Tdb++vW3hUTiKQBP8dNP+0R8vDJdceV26b0/eB+pF3AjQHjCUwTcCNB2KN8lt1yHtvD+yL0ePXokqlWrJhQKhWjWrJnw9/cXDx48EHXr1hVGRkbCxsZGeHh4qK3r7e0tKleuLIyMjETFihXF8eNffx/OnDlT5M2bVzRp0kR8/vxZCCFEdHS0qFChgupzSlmm3uJ7eHigXbt28PDwwO3bt3Hr1i1MnjwZpUqV0sp+4Y8fP4aNjQ2GDBmCIUOGYMKECXB0dMRff/2FwMBACCHULllnZGSEdu3aoWTJktke849i4sT6kMkkOHLkKa5de5PsfEhIFDp02IqGDdfhy5fU10geMaIWHjwYAkfH/Kpj5bqUQ9vVbQEA0m+WlosJj8Htdbfx5e2XZO1IZVLIvpnSYelgiRLNS0AilcD/kj8ODT6EeTbzsH/AfsTHxCMqKg4uLtvQrNkGBAdHYfTo2ujbtyLi4wW6dNmBx48/JGm/T5+K2LixI6RSCdasuYWfftqf6lxsIiL6sUVHR6NFixaoUqUKjh49ii9fvmDw4MEYNWoUYmJisG/fPowePRqTJ0/G5cuXk9SNjIyEi4sLqlWrhqNHj6Jy5cro0qUL4uLiEBgYiDlz5mDz5s3Q09PDmjVrAABr1qyBi4sLLCwstHC1OUumEuWhQ4dCX18f169fh7+/P16/fo1r167B0NAQQ4cO1XSMKRLfPHwXGRmJt2/fAgDKlCmDOnXqIDAwEEqlEhKJBDKZDEqlEpMnT8bRo0ezLcYfXYkSeVXTF0aNOo6oqLgk56Oi4nDz5lu8ePEZ//6bPJH+LwuLr9Nj7t4NxNmzL1G5X2W4HnaFY09H1bmXZ15iX799+LPAn9jWcRve/W8LbnXsW9mj17FeGOk/Es3mNUP+CvmhjFXi1ppbODHuBF6/DsX16wF4+DAIDx8GQSKRYMUKZ9SpUxghIdHo0mVHsvnIrq6O2Ly5I2QyCdatu41Bgw7yAT8iIlLr0KFD+Pz5M5YsWYL69etj69atGDNmDPT19VGwYEFUqVIF1apVA4Bk00SjoqIwZcoUzJ07F1WrVkX+/PkhlyesBvX8+XOULVsWLVq0QMeOHeHr64uYmBh4eXlhxIgR2X2ZOVKmEmVvb2+MGDEiyRzlqlWr4pdffsH58+c1FlxaEuejdurUCe/fv8eyZcvw5UvCCKK+vj6ioqIQHBysKr98+XJMnjwZq1atUq10QVlv0qQGMDaW48IFP3TsuA3R0V+T5fz5TbBnTzdcvNgfTZoUT3ebz559QtOm/6BVq024eNEP9q3sYV3OOkmZAtUKAAAe7XmEFZVWYHun7akmzKYFTFFndB0MujMITWc3hZ6RHoLuB6Fkybw4ebIPjhzpiTp1CgMADAz0sHt3V9jb58Wff7ZQOw+5W7fy2LatM6RSCVavvoW5cy+l+/qIUhMTHoPJksmYLJmMmPAYnW07K+Mkygrh4TEID49JMrARExOP8PCYJL+7vi377UBJbDpXYfqva9euwd7eHl27doWJiQkGDBiAYsWKYcGCBbh48SIsLS3RqFEjjBw5EpUrV05SN0+ePBg2bBiEEDAxMcGcOXOwcOFC6OnpwdraGr6+vggMDMTly5dhY2OD1atXo2PHjhxNTqdMJcpGRkb49OlTsuOfPn3Syk52FSpUwOLFi9G4cWMoFAnr27558wZ58uRBgQIJyZKPjw+Cg4Mxf/58zJgxgw/uZaOSJfPi4EFXGBnp4ciRp+jSJenyatWrF0TVqgVUnwcGhqU5+lqwoBmqVy8IBwcrlPtPggwApZxLYeC1gRjyYAjKdy8PSACf3T5YUWkFdvfajdiI2FTbrzO2DiZGTETvE70BABUq5EfDhkWTlMmf3wQPHgxB06YpJ/idOpXFwoUtAADjxp3EsmX/ptovERFpj4nJTJiYzMSHDxGqY3PnXoSJyUwMG3Y4SVlr63kwMZkJP78Q1bFly65lqt+PHz/i5s2bKFOmDPbv34+goCD8/PPPGDhwIOzs7HDmzBnMnz8fixYtwtmzZ9W2YWpqivPnz6NHjx4YPHgwPn78iBIlSqBBgwawsbHB4cOH0b17d9Vo8uDBg2FhYYFOnTohJoZvZFOSqUS5W7du+PPPP7F48WK8fPkSL1++xKJFi7Bw4UJ06dJF0zGmy+DBg9G7d2/IZAlzT4OCgmBtbQ1jY2P4+Phg1KhRmDRpEnr06IHSpUun0RppmpNTURw40AOGhno4cOAJunffqfad9927gahY8S9MnHg61fYMDfWwZ083nDzZWzUdQ91ybFZlrdBpSycMuf81YX5//32ydZT/K72rccjlX+c6P3r0AX377k02vWTYsBoYO7bO/14fwaJFV9LVNhER/RhMTExgaWmJmTNnonHjxvjjjz9w6tQpnDlzBtOmTYOTkxNGjRqFGjVqYNeuXUnqPn36FKtWrYJMJkO9evWwYsUKhIWFqRLqHTt24OXLl/Dz88OpU6dUUzAOHjyI3bt34+nTp9i7d68WrjpnyFSiPHfuXNSpUwcjRoxAiRIlUKJECYwcORLVq1fHvHnzNB1juiQmyIliY2NhZGSEx48fY+zYsbh06RJu3LgBGxubFFqgrNakSXHs3dsN+voy7NnzCL1770k2cnz9egACA8Mxc+YFzJ59IdX29PVlyJPHSPX5nDkX0aLFRty69TZZ2cSEud/5fuh1tBcMLTL+F4ULF/zQpMk/6Nt3b7JzsbHxaNNmM/755w5+//1UknMSiQSzZzfF+PF1AQAjRhzD/PmchkFEpGvCwiYgLGwCLC0VqmNjx9ZFWNgELF3aOknZ9+/HICxsAooUMVcdGzq0eqb6tbe3h1KpVP1OTHy+CkjYPC1RXFwcTE1Nk9R9/fo13N3d8e5dwtTCxDZMTExUZezs7AAAXl5eGDlyJJ49e4aGDRuicePGaN26tVYWYsgpMpUoKxQKnDp1CmfPnlWNJJ8+fRrnzp1L8o3RBiEEhBAwNTXFw4cPMXDgQHh7e+Ps2bPJ5vVQ9mvRoiT27OkGuVyKbdseYOXKG0nO9+9fGXPmNAUAjB9/Cn/9dT1d7cbExGPBgis4fvwZ7t9/n2K5InWLwMTm68/orbW38PnF5+Tthcdgs/NmrG2wNsnOf6dPv8CJE8+SJfhyuQyrV7dF3bqF8fvv9ZO1J5FIMGNGE/zxR8K5MWNOpPlGgIiIspexsT6MjfWT/FVRX18GY2N9GBjoqS377TMq3/6VMSM6dOiAL1++4LfffsPp06cxffp0tGnTBi1btsSkSZNw5swZzJs3Dzdu3EDbtm0RFhaG27dv49OnT6hVqxYKFCiA4cOH4/z58xg0aBBsbW1Rq1atJH2sWrUKHTt2RJ48eVCkSBE8e/YMAPDkyROtbhan675rBfj69etj2LBhGD58OJycnDQU0vdJ3FhkyJAh+Pz5M27duoVLly6hUqVK2g6N/qd1a3vMnp2QDI8adRxPnyad7z52bF1MnJiQUA4ZcgibNt1Ns019fRkuX/4J48bVhavr19Uvbt9+l2T+2LcebH+A/f334++6f+P9f5Jrmb4Mvod84XfeDzFfEuZuValiixUrnHHkSE+17TVqVAznz/dLMhLxLYlEgqlTG8PTsyGAhDcC06efU1uWiIh+HLa2tti4cSN2796N9u3bo3jx4lixYgXWrl0LOzs7dOjQAcuXL8fatWtRq1YtXL9+HZUrV8b+/fthaGiI/fv348mTJ2jevDlevnyJQ4cOwczMTNV+dHQ0vLy8MGrUKABA3bp14ejoiOLFi0OpVKJDhw5aunLdl+6d+XIaJycnjB49Gj/99BPKlCmj7XDoP379tRb2738Cb++X6Nt3L86dc4Psm527pk5thJCQKCxdeg19+uxFcHAUhg6tkUqLQPHieTBrVlPV50qlQP/++/DgQRC2b++M9u2T/hwUqVcE1uWt8f7+e6xtsBauh1xRuHbCqhYyuQx6hnqIi4pDdGg0jPIaQaGQw929aqoxfDsKsWLFdTx4EIRFi1omOe7h4QQ9PSn++OMM/vjjDOLilPi//2vIrdN/YCF+IYj45uEhdYJ8grIpGiLShi5duqh9zmvPnj3Jjjk5OSX5y2bVqlVx586dFNs2MDDAw4cPkxxbuXLld0T748i1ibK5uTlmzpwJPb1ce4k5mlQqwbp17eHouByXLvlj7txLGD++nuq8RCLBokWtEBurxIoVNzBs2BG8ehWCWbOapntL6M+fI2FhYQgDAxnq1i2S7LxpAVO4nXXDZufNeH35NTY03YCuu7uiZIuEDWgMzAwSEuU0NkJR59GjDxgy5DCUSgEjIz3MmtU0SSI8cWID6OlJMX78KXh6nkVcnBJTpjRisvwDCvELwTKHZWmuxAIAcoUcCksFpDIp7FvbA8iaLaw11XZWxklElB0kgrsgaExoaCjMzc0REhKS5E8elLJ1626jX799kMuluHZtICpWTPqwpRACM2deUK2C0a1bOaxb1wGGhul7AySEgJ9fCOzsLFTH/v77FmrUKIjy5ROWlYsJj8H2Ttvx7NgzSOVSuGxwQflu5bHEfgk+Pf2Efhf6ocj/Eu0vX6Jx+vQLvHsXhp9/rpZq3ytX3sDPPx8EAEye7IT/+7+GycrMn38JY8acAACMH18XM2Y0ybXJcnrvjx/tPnp78y1WVl0Jl40usHKwSrWswlIB828eHMqJEq/X/YY7bKvYajucHOdHuz+ItI1v8Umr+vatiPbtSyM2Vonu3XchKCg8yXmJRILff6+PDRtcVA8ANm++AZ8/R6arfYlEkiRJ3rfvEX76aT8aNFirmrusb6yPHvt7oFy3clDGKrGrxy68u/11Y5Lo0K8jyv7+oejQYZvaXQb/y929KhYsSFhD2cPDGwsWXE5WZvToOqp1lmfNupjmsniUe1k5WMG2im2qHzk9SSYiymmYKJNWSSQSrFzZFra2Jnj06AMaN/4H79+HJyvXq1cFHDvWC+bmBjh/3g/1669FYGBYhvurX98OtWoVQq9eFVC48NfRGJm+DB03dUTVQVVRf2J9PDn4BJ+efoJULk0yylemjCUcHCwxZEi1JJumpGTEiFqYNq0RgIQHF9Wt4vHrr7WwdGkrAMDMmRcwbdo5xMcrM3xtREREpFlMlEnrrK2NceZMX9jamuD+/fdo3Hi92mQ5cVUJW1sTFChgmmQN5fTKm9cIp071wcKFLZNNcZDKpGjj1QaNpjSCQycH5CmRB21XtYVFUYuvZaQS3Ls3GHPnNoeZWfp2ofz99/r47beEDUcGDz6E1atvJiszdGgN1UogkyadQbVqq3D69IsMXx/9GGLCYzDDeAZmGM/Iki2sNdV2VsZJRJQdmCiTTihd2hLe3m4oUMAUDx4EoVGj9WpHjB0d8+PKlQHYtasr9PUzt16lQiFXPRAohMAvvxzB9u0PAHxdXtDKwQqD7w1Gpb6VktWXZfChJIlEglmzmmLkyIQ1Ld3dD2Dt2lvJyv32W10sWdIK5uYGuH37HZo0+Qft2m3B48cfMniF9COIjYhN1wOA2m47K+MkIspqTJRJZ5QqlQ/e3n1RsKApHj5MSJbfvUueLBcpYg5T04TRXCEEfvvtBPbvf5ypPrduvY8lS/5Fr1678epVcJJzciN5qnWfPfuE0aOPpWsKhkQiwfz5zTF8eA0IAfz0035s2JB8KZ9hw2rg6dNfMGxYdchkEhw48ATlyy/H8OGH8SGN5cOIiIhIs5gok06xt88Hb283FCpkBh+fDykmy4l27HiIuXMvoVOn7Xj5MjjD/XXtWg7u7lWwfHmbJA/9pSU+Xgknp/X4888rahNedRKWvGuJwYOrQQjAzW0ftmy5l6ycpaUCS5a0xv37Q9C2bSnExSmxdOk1lCy5GPPmXUJ0dOoPERIREZFmMFEmnVOyZF54e/dFoUJmePToA2rVWo2tW+9DqUy+kqGLSxn061cJ8+Y1Q9Fv5hKnl0wmxYoVbfHTT1VUx2Ji4pNtUa2u3siRtdCqVclkS9qlRiKRYOnS1hgwoDKUSoHevfekOLWiTBlL7N/fA6dO9UGlSjYICYnG2LEn4OCwDDt2PEgzRiIiyjmmTp0KOzs7GBsbo0ePHggLC8Pjx49VUwITP54+fZqs7ooVK5KUKVSokOrcrFmzkC9fPjRt2hTBwcEAgJiYGFSsWFH1OaWMiTLppBIlEpJlOztzvHoVgh49dqFatZU4duxpkgRRLpdhzZp2+PXXr3vav34dirCwzD04FBkZixYtNmLChFNpJqIjR9bC4cM9Ua1agQz1IZVKsGJFW/TrVwmzZzdF6dKWqZZv3LgYrl8fiL//bgdbWxO8eBGMrl13omnTDQgOjspQ30REpHu2bt2K6dOnY9q0adi7dy/u3r2LGTNm4N69eyhSpAhu3bql+ihSJPkGWvfu3UPHjh1VZY4fPw4ACAwMxJw5c7B582bo6elhzZo1AIA1a9bAxcUFFhYW2XmZORK3rSOdVaJEXty/PwQLF17B3LmXcOvWO7RsuQlOTkUxc2YT1KqV8I7529UrQkOj0bLlRshkUhw40ANFMrju7JEjT+Ht/RI3bgRg0KBqqY5S/3fVDG/vl6hduxAMDNK+raRSCdasaZekDSFEipuNyGRS9OtXGV26lMO8eZcwd+4lnD79Ak5O63D8eG9YWxun7wKJiEjnXLhwAXXr1kXv3r0BAEOGDMHixYshl8vh6OiISpUqpVr/3r17aNu2bbJyz58/R9myZdGiRQu8evUKN2/eRExMDLy8vHD+/PksuprchSPKpNNMTPTxxx8N8OzZLxg9ujYMDGT/S0jXwMVlGx4+DEpS3s8vBB8+RODu3UBUr74Kly/7Z6i/jh0dsGpVWxw86KpKkuPjldiy5R4iUnly/59/7qBJk3/Qo8cuxMWlbw3kb5PikJAoODmtx6FDT1KtY2KiD09PJ1y+/BPy5zfGnTuBaNBgLfz9Q9LVJ+UOEqkEdg3tYNfQDpJ0bumujbazMk6irBAeHpPhj2//z0/v////Vbx4cdy6dQu3b9/Gp0+fsHfvXjx//hz37t1DUFAQihcvDltbW0yfPl1t/Xv37uHEiROwtLRE6dKlcfjwYQCAtbU1fH19ERgYiMuXL8PGxgarV69Gx44dOZqcXoI0JiQkRAAQISEh2g4l1/LzCxb9++8VUulkAXgKqXSyWLLkapIyr14Fi4oVlwvAUxgYTBU7dz74rj6PHPEVgKcoUGC+iIiIUVvm1KnnwsBgqvjpp30iLi4+w31MmnRaAJ5CX3+qePQoKF11njz5IIoUWSAAT1Gu3DIRH6/McL/ZKb33x492HwXcCBCe8BQBNwK0HUq2+NGuV9N+tPsjuwGeGf7Yvv2+qv63rzMiPDxcNGzYUAAQUqlUtGvXTgAQ9vb2onXr1sLb21vMnDlTABCnTp1KUjcgIEAYGxuL0aNHi3Pnzonu3bsLMzMz8fnzZyGEEJ07dxYAhLW1tfDx8RHlypUTnz59EoMGDRLm5uaiY8eOIjo6OtNfs9yOUy8oRylc2Bxr1rTHmDF1MGHCKezb9xjDhx9BXJwSI0YkzFMuUsQcFy70R8+eu7F//2N07boTf/3VBgMHVs1Un5GRsShWzAKuro4wSmHJuMaNi+HatYEoX946xekTqZk0qQGKFrVApUo2KFYsT7rqCAE+0Ec5VpBPUJplFJYKbttNPwSFQgFvb2+8fv0acrkcBw4cwIkTJ/Dkyde/MjZs2BCbNm3C6dOn0bhxY9VxW1tbhIV9XR2qbNmysLS0xPXr19G0aVPs2LEDr169SjKa7Ovri4MHD2L37t0YOXIk9u7di65du2brNecUTJQpR3JwsMKePd3wxx+nMWPGBYwcmbCe8dixdSCRSGBioo/du7ti0KCDWL36FtzdDyIoKAITJtTLcCLr4uIAZ+dSSVbd8PMLweLFV/F//9cQJ08+R8OGdnB0zJ/p65HLZejfv3K6y9+9G4hmzTbg/ftwlC6dD0eP9lJtokKkyxSWCsgVcuzptSfNsnKFHEN9hjJZpmwTFjYhw3W+fS7FxcUhU/0ePHgQixcvVj2Ed+7cOVStWhX9+/fH8OHDUbny198PhoaGSeo+fPgQc+fOhZeXF4yMjNSWs7OzQ3R0NLy8vHDhwgUcPXoUDRs2ROPGjfH/7N11WFTZ48fx98zQoICCYoCB3b26FnZh4Nqta8euHetXwbVW13bt7lxbsbtr7cQCxQCR7pn7+2N+jCI1A0N6Xs8zjzhz77nnDlz4zLknmjdvzsuXL5NV7x+BCMpCpiWTyZg2rT4KhZypU88zbtxJLlzwZPXqluTObYFCIWflypbkymXOjBkXmTjxND4+Icyd20TnUGloGHsVwOHDj7J37xPmzr0CQKVKeTh3rhcWFkZ6O7+EREUpadZsC58+hVChgh3HjnUTg/l+MJEhkSwsuBCA31//jpG5/n7u9Fl2fGVZOlgy5PEQQpNYQMfnsQ97u+0l1DdUBGUhzZin8FoyMEje0K+iRYty5swZ5syZg729Pdu2bWPTpk3Mnz+fYcOGMWPGDG7cuMGjR49o27YtwcHBeHh44ODggK2tLbt27cLY2Jju3buzYsUKHBwcqFatWqxjrFq1irZt22JtbY2DgwMvXrwA4NmzZ6I1ORFiMJ+QqclkMv78sx4LFzbFyEjBoUPqlez27XuieX369AbMn98EgAULrtG27Q6uXPFKUbeFgQOrUKqULTt3tsPW1oxatewxN098Jb+kKJUqli27Qb9+B/DxCUlwOw8PP7y9gzA3N+TMmZ4iJP+gQn1DkwybGaHs+MqydLAkT6U8iT5sS9rq5fiCkBkUL16cNWvWsGDBAgYPHsz06dPp1KkTW7duxdTUlObNm7No0SJ27dpFqVKluHnzJhUrVuTAgQPY2tqyZ88eLl++TIMGDXj8+DHu7u4YGX0N/TGtySNHjgSgZs2alC1blsKFC6NSqWjTpk06nXnGJ1qUhSzht99+on79QnTrtoe7dz/i4rKDPn0qMH9+U7JnN2b48OrY2JjRu/d+9u9/yv79T6lQwY4bN/olqwWgcWNH7t8fhFwuo2ZNB/LksUhW3+RvKRRy1q27w40b3tjbWzJ5ct14t3v69DMAxYvbYGVlEu82giAIQubSo0cPevToEes5R0dHTpw4EWdbJyenWI09jRs35t69ewmWbWxszKNHj2I9t3LlyhTW+McgWpSFLKNMmVxcu9aXceNqIpPB2rV3KF9+ORcuvAGgW7dyXL36Kz17lsfMzJCiRXPECsmXLnmiVGo/tU9M9428ebOlOCTHGDmyBgBLltwgPDz+papjVvIrUSLxhUoEQRAEQUgZEZSFLMXY2IC//mrIuXO9KFjQitev/albdz0TJpwkMlJJ5cp5Wb++De/fj2Lu3Maa/Z488aVWrXUULrwowYCaFn75pST29tn59CmErVvvx7vNkycxLco507JqgiAIgvDDEUFZyJJq1y7A3bsD6d27ApIEf/11iWrVVvHgwScAsmc3xt7+6wCh588/kzOnKeXK5cbE5GuPpKgoZZrW29BQwW+//QTAvHlX4u1HLVqUBUEQBCFtiD7KQpaVPbsxa9e2pmXLYvTvf4i7dz9SpcpKevWqgLW1CUZGilgPV9e6REaq2Lz5HkZGCnLmNKVPnwPMnt2Qjh3LpFm9+/atxJQp53j40Ifjx1/QpEkRzWuSJPHkiQjKgiAIgpAWRFAWsjwXl5LUqGFP374HOHz4OStW3NJqP5lMvahHp07/cuXKW+bPb6K3vsiJsbIyoW/fiixYcI0FC67FCsq+vqF8+RKOTAZFi+ZI9boIGZNMLiNvlbyarzNq2alZT0EQhLQggrLwQ7Czs+Dgwc7s2vWIW7e8iYxUfvNQxfp/REQ03t5BPHz4deWwhQuvAaRZWB40qCoLFlzj5MmXBAVFkC2bMQDBwZEAmJgYJLhKoJD1GZoa0u9GvwxfdmrWUxAEIS2IoCz8MGQyGR06lKZDh9JJbitJEkOHHmHp0pua5xYuvIZcLmPu3MapHpaLFcuJo6M1L1584cyZ17RqVRz4Ohl+WFg0KpUkVuMTBEEQhFQkBvN9Q6XSfmowIWuTyWT8809zBg2qEuv5+fOvMmbMiRQtVqKtpk3VXS6OHvXQPPftoiahoVGpXgdBEARB+JH98EH5/fv3fPz4EZVKhVwuF2FZ0IgJywMGVP7//6ufnzv3CuPGnUz1sBwTlN3dPTTH+ra7RUhIZKoeX8i4okKjWFBwAQsKLiBKzx+Y9Fl2atZTELKaqVOnUqBAAczNzencuTPBwcE8evSI+vXrY2FhQZEiRThw4ECc/davX49MJovzOHv2LAB//fUXOXPmpGHDhvj7+wMQGRlJ+fLlNf8XEvZDB+XZs2dTr149KlSoQMOGDfH19RVhWYhFLpexdGkL+vatiCR9Dct//32ZP/44laph2cmpIIaGcl6/9uf5cz9NfczM1GE5JEQEjx+VJEkEvAkg4E2A3n8G9Vl2atZTELKS7du3M336dKZNm8a+ffu4d+8eM2bM4JdffsHMzIyjR4/So0cPOnfuHCfctmrViv/++0/zmDx5Mnny5KFcuXJ8/PiR2bNns3XrVgwMDFizZg0Aa9aswcXFBSsrq7Q/2Uzmhw3KS5cu5c8//8TJyYlWrVrx4sUL6tSpQ2hoKHK57m9LREQEgYGBAAQGBhIREaHvKgvpRC6XsWJFS/r0qRArLP/11yX+97/TqRYALCyMqF27ACYmBjx8+EnzfEz3i8zUoiyuD0EQhIRdvHiRmjVr0r17dxo1asTgwYPZsWMHT548Ydy4cdSqVYvJkydjZmaGu7t7rH1z5MhBhQoVqFChAnZ2dixdupR169aRI0cOXr58SalSpWjSpAlt27bl+fPnREZGsnTpUoYPH54+J5vJ/HBBWZIkwsPD2bt3L7Vr12bRokWsWLGC+fPn8+7dOy5fvpyscmfOnIm9vT0A9vb2zJw5U5/VFtKZXC5j1apW9OoVOyzPmHGRCRNSr2V57dpW+PmNxcWlpOa5mAF9malFWVwfgiBkBiEhkSl+JEfhwoX577//uHPnDn5+fuzbtw9PT08sLS3ZsWMHwcHBHDx4kM+fP+Ph4ZFgOZMnT6Zy5co0adIEgFy5cvH8+XM+fvzIlStXsLOzY/Xq1bRt21a0Jmvph5v1QiaTIZfLUSqVBAQEEBoaipGREdWqVcPY2Jg9e/awevVqfvnlF2rXro2dnZ1W5U6YMIG+fftib2+Pl5cXtra2qXwmQlqTy2WsXt0SSZLYsOGuZp7l58/9Um0WjAIFrOI8lxlblMX1IQhCZmBhkfIP8ZLkqvM+AwcO5MCBA1SsWBG5XI6zszPR0dEsWrSIwYMHs2TJEkqWLEmxYsUICgqKt4zXr1+zfv16zpw5o3nO0dGROnXqYGdnR65cuTh37hzt2rXjwoULDBo0iG3bttGgQQO2bduGkZFRss85K/vhWpQBjIyMqFevHv/99x/Tp0/n6NGjLF26FF9fX65cucK1a9fo2rUrmzdvBtCqtdDY2Jjs2bMDkD17doyNjVP1HIT0oVDIWbOmFd27l0OS1OG5aVNHzet+fmEEBaVOtwKlUt13PjO2KIvrQxAEIWFmZmacPXsWLy8vvL29admyJaampvTo0QMfHx+ePHnCvXv3CA4OJmfOnPGWsX79evLkyUPNmjVjPb9r1y5ev36Np6cnp06d0nTBOHToEHv27MHDw4N9+/alwVlmTj9Mi/L+/fv5/PkzUVFR9O3bl0mTJuHr68vmzZtZs2YN/v7+rFixAmdnZ/LkyYOzszPLly9nyJAhmJqapnf1hQxEoZCzbl1rVCqJLVvu07//IXx9Q5kwoTZDhx7h6tW3nDrVg0KFrPVyvPHjT3LkyHOaNSvCrFmNNC3KMYuPCIIgCPoRHDwhXY576NAhFi1axPHjxwE4f/48lStXpk2bNnTp0oUOHTrw8uVL3r17R5UqVeItY9euXbRs2TLe1woUKEBERARLly7l4sWLHD16lLp161K/fn2aN2/Oy5cvU+3cMrsfokXZ1dWVzp07M2LECAYNGkTlypXZvn07Cxcu5PHjx8yYMYPcuXNTvXp18uTJA6DpTxkZKcKIEJdCIWf9+jYMHqz+hfXHH6eZMOEkV668xcsrkEePfJIoQTuSJPHs2Wfu3/9E7twWABQqZAXArVveejmGkPnIZDJsS9liW8pW791+9Fl2atZTEFKDublRih/JUbRoUc6cOcOcOXPYsWMH27ZtY8iQIWTPnp2pU6dy/vx5hg0bRqlSpahXrx7BwcGa/swAQUFBPHr0iHLlyiV4jFWrVtG2bVusra1xcHDgxYsXADx79oxChQolq94/BCmLe/bsmWRnZydNnDhRunXrlnT27FmpZMmSkoWFhTRx4kQpJCREWrJkiSSTyaQbN25I4eHh0oMHD6Q6depITZs2lUJCQrQ+VkBAgARIAQEBqXhGQkYzc+YFCdwkcJNGjHCXDh9+qtfyIyOjpTVrbksqlUqSJEnaseOBBG5SsWKLpYiIaL0eKzVpe338aNeR9y1vyQ03yfuWd3pXJUMR70v8frTr40eyYcMGKV++fFKOHDmkWbNmSZIkST4+PlLz5s0lMzMz6aeffpJev34tSZIknTlzRgKkdevWSZIkSTdu3JAA6dSpU/GWHR4eLpUsWVLy8/PTPNevXz+pUKFCUps2baTw8PDUPblMLMt3vQgJCeHTp0+UKlWKSpUqAXDz5k1at27NokWLMDU1xcXFhXLlytGqVSuKFClCYGAgHz584PTp05iZmaXzGQgZ3fjxtTAwkDNmzAnmz7+GmZkRzZoVRSaT8erVF6KiVBQrFn+fsoRcuuRJjRr2yOUyDA0V9OlTUfNao0aFMTEx4Nmzz/z88xq2bfuFokV1K18QBEHIWHr06EGPHj1iPWdjY8Phw4fjbOvk5BRr/FSVKlUSHU9lbGzMo0ePYj23cuXKFNb4x5Dlu144OjpSrFgxNm7cqOlGYWZmxsGDB6lUqRJz587lzp07LFmyhNq1ayOXy6lSpQrnz5+nVKlS6Vx7IbMYPfpn5s1rDMD06ReYMOEUb974U6/eBurWXc+TJ75al7Vu3X/Urr2OQYMOoVLF/cVnbW3Kv/92IEcOU27dek/FiitYv/6OWNBBEARBEPQsy7com5mZ0aZNG1asWMHcuXMZM2YMBgYGmJiYcODAASpUqMDGjRs5evQoNWvWRJIkVCoVCoUivasuZDIjRtTAwEDOb78dZdasSwQGRmBpacK9ex+pU2cd//zTHEdHayIilERERBMeHq35Oubf16/9mTnzIpIEhoYKEurW2bx5Ue7dG0i3bns5e/Y1vXvv5/jxFyxb1gJLS5O0PXEhzUWFRrGq6ioA+t3oh6GZYRJ7pE/ZqVlPQRCEtJClg7JSqUShUDB+/HjOnDnDvHnzsLS0pH///hgYGGg6yXfv3p0TJ07QqFEjZDKZCMlCsg0b9hMKhZwhQ46wbNlNBgyohFwu486dD3TsuFvrcoYMqcrixc0SHQCVL192Tp7szqxZl5g8+Qzbtj3g6tW3bN36C9Wr59fH6QgZlCRJ+Pz/gFF930nQZ9mpWU9BEIS0kKWC8q1btzAwMEChUFCmTBkUCgVRUVFYWlpy6NAhfv75Z1xdXfn06ROTJk1CoVBgZGSEubm5WKFG0JvBg6uiUMgYOPAwK1bcpm/fikyYUIvffz+KgYEcY2MFxsYGmn9NTAxiPVerlgPDhlXTapYAhULOH3/Upl69gnTpsodXr/ypVWstU6fWY+zYmigUWb53lSAIgiCkmiwTlF1dXVm6dCnBwcGYmZkxevRoJkyYgKGhIZGRkdjY2HDlyhXatm3LwoULOXjwIPXq1ePGjRtYW1uTL1++9D4FIQsZMKAKBgZy+vU7yOrV/2FoqODdu5HI5akzRVaNGvbcuTOAAQMOsWPHQ/744zQnT75i0yYX8ubNlirHFARBEISsLksE5W3btjF79mxGjhxJvnz5uHbtGhMnTiRbtmwMHToUIyMjoqOjyZkzJwcPHmTt2rXs2rWL/fv3Y2dnx+HDh8mbN296n4aQxfz6ayUUCjl9+uxn2bKb3L//CRsbMyRJQpJI8N+8eS1o0qQIjRoVxtpa+8VuLC1N2LbtF5o0cWTYMHdOn35FuXLLWL++Dc7OxVLxTAVBEAQha8oSQfnp06fY2dkxePBg8uXLR/369blz5w7Lly+nffv25MqVS3MbO3v27AwfPpzhw4fz6dMnzM3NMTc3T+czELKqXr0qoFDI6NVrPxcvemq939q1dzA2VrB5c1vatdN+9hWZTEbv3hWpWdOBTp12899/H2jVahs3b/anUqU8yTkFQRAEQfhhZeqgLEkSMpkMSZIICwvj/fv35MuXjxIlSvDzzz+ze/duVCqVZoCeSqXizz//5KeffqJZs2bkypUrvU9B+AF0716e0qVzce3aW+RyGTKZDJmMOP/GdMu4f/8Thw8/58kTX7p23UOuXObUqVNAp2MWK5aTK1d+pVSppbx8+YWbN71FUBYEQRAEHWXqoBzTSvzLL78wdepUlixZwqJFi8iWLRtGRkaEh4fj7++vWZZ62bJl/Pnnn7i4uODk5ISpqfa3tQUhJSpVyqNTUJ01qyHt2+9i794ntG69nYsXe1O6tG4f7IyNDXB0tOblyy+YiWm5shSZTIZlAUvN1xm17NSspyAIQlrI1EE5Rrly5Vi0aBGWlpaalfTevXuHtbW1pu/x48eP8ff3Z+7cuTRv3lyEZCFDUyjkbNnSloYNN3H5shfNmm3h6tW+Og/MCw2NAhBBOYsxNDNk+OvhGb7s1KynIAhCWsgSQRlg0KBBseY/9vHxIVeuXJibm/P48WNGjhzJsWPH8Pb2xs7OLh1rKgjaMTU15MCBTtSsuZanTz/TrNkWLlzoTfbsxlqXIYKyIAiCICRflplk9ftFQqKiojA1NeXp06eMGTOGy5cvc+vWLRGShUwlZ04z3N27kju3OffufaRt2x1ERiq13j8sLBoAU9Ms85lYEARBENJMlgnKMdRTbElky5aNR48e0a9fP86ePcu5c+eoWLFieldPEHRWqJA1hw93wdzckFOnXvHrrwe0XuVMtChnTVFh6qWhV1VdRVRYVIYtOzXrKQiCkBayXDNTzICRwYMH4+Liwn///ce1a9coV65cOtdMEJKvcuW87N7dAWfnrWzefA97++zMmNEgyf1igrKpqQjKWYmkkvC+6a35OqOWrY+yfB77JLmNmY0Zlg6WySpfEAQhMVkuKMdwcnJi1KhR/Prrr5QoUSK9qyMIKda0aRFWrWpJnz4HmDnzIgqFjMaNHSlSJAd2dhbxzioQFpZ4i3JISCSvXvnz+rU/xYrlpFixnKl6DoKgLTMbMwzNDNnbbW+S2xqaGTLk8RARlgVB0LssG5QtLS2ZOXMmBgZZ9hSFH1Dv3hXx8grE1fUs06ZdYNq0C4A6CDs6WlOkSA7Nv0WK5CAkRB2Ur19/x9mzr3n16gsvX/rz8uUXXr36wsePIZqyFQoZy5c707dvpXQ5t6wowDOAUN/QRLfRpsX0R2TpYMmQx0O0ev/2dttLqG+oCMqCIOhdlk6RIiQLWdGkSXWwtDTm0KHnvHjhx5s3AYSGRnH//ifu3/8U7z6dO/+bYHnW1ibY2Jjx/Lkf/fodxMbGjDZtxF2YlArwDGBJySVEhSbdN9fQzBAzG7M0qFXmYulgKcKvIAjpSiRJQchkZDIZv/9end9/rw5AZKSS16/9efHCDw8PP168+IKHhx/Pn/vx7NnnJMuTJPVD0K9Q31CiQqNw2eyCbUnbRLcVfWwFQRAyJhGUBSGTMzJSJNi/WKlU4e0dxMuXX/6/u4V/rK8/fAjG3z8cf/9wTdcL0ZqsX7Ylbckjlg8XBEHIlERQFoQsTKGQY29vib29JXXrFozzekhIJK9f+/PqlRjMl9mkZlcNfZYtupQIgpCZiaAsCD8wc3MjSpfORenSudK7KoIOjMyNGOMzJsOXnZr1FARBSAtZbsERQRAEQRAEQdAHEZQFQRAEQRAEIR6i64UgCIKO0nt+5KiwKLY02wJAV/euGOpx5UV9lp2a9RQEQUgLIigLgiDoICPMjyypJN6ce6P5OqOWnZr1FARBSAsiKAuCIOhAzI8sCILw4xBBWRAEIRnE/MgZizZdXcQHF0EQdCWCsiAIgpBpmdmYYWhmyN5ue5Pc1tDMkCGPh4iwLAjJ4OPjQ69evTh79iz58+dn6dKlNGjQQOdtly1bxqpVq7h//z4TJ07Ezc0tDc9CdyIoC4IgCJmWpYMlQx4P0Wpw5d5uewn1DRVBWRAS0KtXL5ycnOjVq1ec14YMGYKdnR0+Pj6cPHmSDh068Pz5c3LkyKHTtnny5MHNzY2tW7emwRmlnAjKgiAIQqZm6WApwq8gpKLg4GD27dvHy5cvMTMzo1WrVpQtW5b9+/fTu3dvnbZt06YNAEeOHEmHM9GdmEdZEAQhEzI0M8TQLHWmW9Nn2alZT0HIjCIiIhg3bhx58+bF1NSUn376iRMnTuh9/1u3btG0aVOyZ89OtmzZaNy4MXfu3ElWnZ8/f46FhQX58+fXPFe2bFkePnyYom0zA9GiLAiCkMkYmRvxR8gfGb7s1KynINy+fZsDBw7g5OSEk5NTgs9lNL169WL37t0MHz6cokWLsn79epo3b86ZM2eoVauWXva/ffs2tWrVwt7eHldXV1QqFUuXLqVu3bpcv36d4sWL61Tn4OBgsmfPHuu57Nmz8/nz5xRtmxmIFmVBEARBEDKd27dvM2XKFM6ePZvocxnJ9evX2b59OzNnzuTvv/+mf//+nD59mgIFCjB27Fi97T9p0iRMTU25cuUKo0aNYsyYMVy+fBmVSsUff8T+8Ors7IyVlRVWVlZs3bqVwYMHa/7/119/AWBhYUFgYGCs/QIDA7GwsIhTR122zQxEUBYEQRAEQfhOZGQkKpVKr2Xu3r0bhUJB//79Nc+ZmJjw66+/cuXKFby8vPSy/4ULF2jYsCE5c+bUbJcnTx7q1q3LoUOHCA4O1jx/6NAh/P398ff3p0uXLixdulTz//HjxwNQtGhRgoODeffunWa/Bw8eULp06Th11GXbzEAEZUEQhEwmOjyarS22srXFVqLDozNs2alZTyFjevLkCR06dMDOzg5TU1NKlizJrFmzYgXOXbt2UbVqVczMzLCzs+OXX37h/v37mtdDQkIYM2YMjo6OmJqaYmdnR5cuXXj9+rVmm4IFC9KvXz8ApkyZgkwmi/e5b/c5evQoNWrU0JQ5bNgw/P39Na/LZDKqV6/O8ePHqVixIqampnFaRlPqv//+o1ixYnG6JlSrVg0gyT7E2u4fERGBqalpnP3NzMyIjIzkwYMHOtXbwsKC1q1b4+rqSlhYGIcOHeLevXu0bt1a522jo6MJDw9HqVTG+jqjEn2UBUEQMhmVUsXzI881X2fUslOznkLG4+/vT82aNQkKCqJTp06YmZlx/Phxxo8fz+fPn5k9ezYrV65kwIABWFtb06NHD4KCgti9ezenT5/m8uXLlCxZkrZt23L8+HGqVq1Kq1atePPmDdu2bePatWs8ffoUAwMDBg0axLlz53B3d6dmzZrUqlULa2vrOM9ZWqpnQ9mzZw/t2rWjQIEC9O7dm7dv37JkyRLOnz/P1atXNaHy7du3tGzZkrp16zJs2DCMjY31+h69f/+ePHniLlQU85y3t7de9i9evDhXr15FqVSiUCgAdQv5tWvXAGK19mpr6dKl9OzZk5w5c5I/f3527NihmRquWbNm1K5dW9OtI7Ftp02bxpQpUzTlTp8+nXXr1sU7JV1GIIKyIAiCIAgp5uHhgZ+fH05OTmzcuBFQB7sRI0YQHBxMaGgoY8eOJVu2bNy9exd7e3sA6taty4ABA5g3bx5Tp07lxYsXNGzYkKNHj2pCnrOzM4cPH+bt27cULFiQcePGkTNnTtzd3WnYsKFm0Yr4ngsPD9cMfLt9+zbm5uYALFiwgBEjRvDPP/8wZswYQB0gx4wZw+zZs+M9x7Nnz1KvXr1E34dXr15RsGDBeF8LCwuLN3ybmJhoXk+MtvsPHjyYQYMG8euvvzJ27FhUKhXTpk3j/fv3iR5n/fr1CR7b1tY2wSnd3N3dtd7Wzc0twy8y8i0RlAVBEARBSLHSpUuTJ08ezp49S5MmTXB2duann35iy5YtKBQKTp06RUBAAN26ddOEZIA+ffrQvHlzTExMsLGxwcPDAwA/Pz+ePn3KvXv3uHr1KqC+ba+ry5cv4+XlReXKlZk6darm+ZhuFQcOHNAEZUDTLzc+Dg4OjBs3LtHjxbRix8fU1JSIiIg4z4eHh2teT4y2+w8cOBAvLy/+/vtvNmzYAECVKlUYO3Ys06dPz7QD69KDCMqCIAj/L8AzQKsV3gRBiMvU1JRz584xbdo0jhw5wvHjxwF1t4CFCxcSGRkJQN68eWPtZ2BgEGvO3RUrVvD333/z4sULcubMSeXKlTE3N0/29GIxrai3bt3i1q1bcV7/+PGj5msbG5t4V5qLUbhwYc1MEMmRJ0+eeLs9xNTx+/cmJftPnz6d0aNH8/DhQywtLSlbtqyma0SxYsWSfQ4/GhGUBUHI8rQJwCE+Iexsu5Oo0KgkyzM0M8TMxkxf1RPSkDYfdMxszMRKf8lUtGhRTQvms2fPOHjwIG5ubnTp0oU1a9YA6n7A3/L29mbr1q0UL14chULBwIEDqVOnDqdOnaJAgQIAODk54enpmaw6xcz8MHDgQJYtW5botkn1SX758iUrV65MdJtx48ZhbW0d72sVKlTgzJkzBAYGxhqQF9N3uEKFComWrev+1tbWseZmPnnyJPnz56dEiRKJHic+Pj4+9OrVi7Nnz5I/f36WLl1KgwYNdN522bJlrFq1ivv37zNx4sQM3w1DBOUMJiIigpkzZzJhwgS9DyJILZmxzpA5652Z6zxkyJB0OX6AZwBLSi7ROgB3PdoVc1vzRLdLKkhlxu9TQrLKuZjZmGFoZsjebnuT3NbQzJAOezqk+OfgR7Nx40Z69uxJ165d2bx5M8WKFWPUqFEcO3aMEydOULJkSUxNTTlw4ACenp44ODgAsHjxYv766y/mzZtHVJT6Om3atKkmJH/58iXWrBgxZDIZQKwZE+J7rkaNGpiZmbF3716mTp2KjY0NAPv27aNv374MHz6c//3vf1qdo6enJ7NmzUp0m4EDByYYlNu1a8ecOXNYuXIlo0ePBtTX2Lp16/jpp59idUkJDQ3F09MTGxsbTZ112f97O3bs4MaNG8yZMwe5XPdJz4YMGYKdnR0+Pj6cPHmSDh068Pz583hb4BPbNk+ePLi5ubF161ad65AeZJIkSeldiawiICAAKysrvLy84kzdoq3AwEDs7e1TVEZay4x1hsxZ78xc50ePHlGqVCn8/f0T7cMXcx3dOnILC/OU96PzferLwf4HabmyJTbFbRLd1jSnKZb2KQ8+qf19igyJZG7euQCM8h6FkblRqpUdrgxP9rmkZj2T493jd9SrXg/3I+6aAV3fC/ENYW+3vUSFafHBytQQl80umNskHqj1KTgkmMrNKyd5HaUHPz8/KlSogJeXF82bN6dEiRI8evSIo0ePUq5cOW7dusWCBQsYM2YMuXPnpn379nh6enLgwAEKFy7M7du3uXPnDk5OTpiamtKxY0fMzc3Zv38/7969Q5IkOnbsyPr16zExMWHfvn24uLhQqFAhOnTowNixYzl//nyc53LkyMHs2bM1yz47OzsTGhrK7t27sba25vr16+TPnx+ZTEa+fPnitHjrW4cOHdi7dy8jRoygSJEibNiwgevXr3Pq1Cnq1Kmj2S5m4KCrq2usVldt9j9//jx//vknjRs3JmfOnFy9epV169bRqFEjDh48iIGBbu2kwcHB5MiRg5cvX2q6yTg5OdGzZ0969+6drG0HDhyInZ1dhm9RRhL0xsvLSwLEQzzEI5GHl5eXuI7EQzxS+EjqOkovz58/l7p27Srly5dPMjY2lgoUKCANHTpU8vX11WyzZ88eqXz58pKxsbGUJ08eqUuXLtKbN280r69cuVJydHSUjIyMpEKFCknjx4+Xtm/fLuXKlUuytbWVgoKCJEmSpLCwMKlFixaSsbGxZGpqKnl6esb7XIwNGzZIFStWlIyNjaXcuXNLXbp0kTw8PDSvA1K+fPlS/T0KCwuTRo8eLdnZ2UnGxsZS1apVpaNHj8bZ7syZMxIgubq66ry/h4eH1LhxY8nGxkYyNjaWSpQoIc2cOVOKiIhIVp1v374tWVtbx3pu6NCh0qhRo5K97YABA+KcW0YkWpT1SKVS4e3tTbZs2TS3f3SVmVsMM1OdIXPWOzPX2dPTE5lMRt68eRO97aeP6yi9ZcbvU0LEuWQskiQRFBSU5HUkCPp04cIFunfvHmsBl4kTJ/L582eWL1+erG0zS4uy6KOsR3K5PNbI3eQwNjbG1dUVW1vbTNMfMDPWGTJnvTNznXPlyqVVnfVxHaW3zPh9Sog4l4wno3W5EDK3WrVqcenSpXhfmzhxItOmTcPCwiLOKoWBgYHxTjOny7aZgWhRFgRBEARBEBIU0+/41atX5MuXD4B69erRo0ePBPsoJ7VtZmlRFvdtBEEQBEEQhARZWFjQunVrXF1dCQsL49ChQ9y7d4/WrVvrvG10dDTh4eEolcpYX2dUIigLgiAIgiAIiVq6dCne3t7kzJmTkSNHsmPHDs3UcM2aNWPGjBlabTtt2jRMTU1ZvXo106dPx9TUlE2bNqXLOWlDdL0QBEEQBEEQhHiIFmVBEARBEARBiIcIyhlMREQEbm5uREREpHdVtJYZ6wyZs96izplDVjpncS6CtjLz+yvqnj4yQ91F1ws9EvMoZ546Q+asd2aus5hHOXMS55KxaDuPcnpcR5n5/RV1Tx/pVXdd5iMXQVmP3r59m+g664IggJeXV6LzJIvrSBCSJq4jQUi5pK4jEAuO6FW2bNkAUvTJKDN+MsyMdYbMWe/MXOdHjx5RqlQpzXWSEH1cR+ktM36fEiLOJWOJOYeMeB0l9v6qlCq8LnsBYP+zPXJFynp+6ru8b+tuYW6h17JTW2b+uU6vumt7HYEIynoVc3sre/bsyf6GZ8aVozJjnSFz1jsz19nGxgYgydvA+riO0ltm/D4lRJxLxpQRr6Ok3l+rFlZ6PZ4+y/u+7vqua2rKzD/X6V13bbolia4XehQYGIilpSUBAQGZ9g+8IKQWba8PcR0JQsLEdSQIKafL9SFalAVBEARBSFXKKCW3Vt4CoHL/yigMFRmqvLQqW8h8RFAWBEEQBCFVKSOVuA91B6BCrwopD8p6Li+tyhYyn4zdQ10QBEEQBEEQ0okIyoIgCIIgCIIQDxGUBUEQBEEQBCEeIigLgiAIgiAIQjxEUBYEQRAEQRCEeIigLAiCIAiCIAjxENPDCYIgCIKQqgyMDeh8qLPm64xWXlqVLWQ+4idAEARBEIRUJTeQU6xFsQxbXlqVLWQ+ouuFIAiCIAiCIMRDtCgLgiAIgpCqlFFK7m+5D0DZrmX1soS1PstLq7KFzEcEZUEQBEEQUpUyUsn+3vsBKNW+lF6WsNZneWlVtpD5iKAsCIIgCEKGFeAZQKhvaKznosKiNF9/uPMBQ1NDzGzMsHSwTOvqCVmcCMqCIAiCIGRIAZ4BLCm5hKjQqAS3WVdrHQCGZoYMeTxEhGVBr0RQFgRBEAQhQwr1DSUqNAqXzS7YlrTVPB8VFqUJyL0v9sb/tT97u+0l1DdUBGVBr0RQFgRBEAQhQ7MtaUueSnk0/48MidR8bVfBDkNTw/SolvADENPDCYIgCIIgCEI8RFAWBEEQBEEQhHiIrheCIAiCIKQqA2MD2u1sp/k6o5WXVmULmY/4CRAEQRAEIVXJDeSUbl86w5aXVmULmY/oeiEIgiAIgiAI8RAtyt+RJAmZTJbe1RAEQRCELEMVreLx3scAlHQpidwgZe1035enT/quq5C5/fBB+dixY7x7945cuXJRsWJF8uXLJ8KyIAiCIOhRdEQ0uzvsBmBC8ASMDIz0Wp4+6buuQub2QwdlV1dXZs+ejaGhIZGRkRQtWpT58+fTsGHD9K6aIAiCIAiCkM5+2PsJt2/fZtmyZYwbN47bt28zd+5cTExMaNq0KatXr9a5vIiICAIDAwEIDAwkIiJC31UWhExL2+tDXEeCkDBxfQhC2vthg7KRkRGBgYHkzZuXIkWKMGTIEJYsWUKbNm0YOHAgGzduBEClUmlV3syZM7G3twfA3t6emTNnplrdBSGz0fb6ENeRICRMXB+CkPZ+uK4XISEhmJubI0kSRkZG3Llzh9DQUMzMzKhWrRp//vkn0dHR9OnTh0KFClG7dm2typ0wYQJ9+/bF3t4eLy8vbG1tk95JEH4Q2l4f4joShISJ60MQ0t4P1aI8dOhQ6tWrR1hYGGXLlmXkyJGsXr0ad3d3zTalSpVizJgxFC9eHDc3Nz5//qxV2cbGxmTPnh2A7NmzY2xsnCrnIAiZkbbXh7iOBCFh4voQhLT3wwTlCRMmsGrVKlq1akVkZCQA3bt3x8nJiR49enD8+HHNtjVr1qRt27Zcv34db2/v9KqyIAiCIAiCkI5+iK4X48ePZ/78+cyaNYuuXbtiaWkJgKOjI1OnTmX48OG0bt2a1atX4+zsjKWlJRUqVMDY2JigoKB0rr0gCIIgZG4KIwWt17XWfJ3RykursoXMJ0sHZUmSeP36NbNnz6ZRo0YMGDAAU1NTIiMjWbt2LVFRUdSuXZuJEyeyZcsWunfvTuvWrXF0dOS///4jW7ZsODo6pvdpCIIgCEKmpjBUUKFXhQxbXlqVLWQ+WTooy2QyChUqxKxZs/jjjz+4desWtWrVonz58jx9+hQACwsL+vXrx5gxY3BycmL27Nncvn2bXLlyceDAAXLnzp3OZyEIgiAIgiCkhywdlFUqFXK5nO7du3PlyhU6dOhA3bp1yZs3L/Pnz8fBwYGFCxcyf/58ChcuzJAhQ3B2dsbKyoro6GhNFw1BEARBEJJPFa3C45gHAEWaFNHLEtbflqdP+q6rkLllye/+tWvX8PPzQy5Xn56dnR0DBw7EwcGBgwcP0rBhQ5o2bUqpUqVYsWIFLVq04J9//gEgT548mJubi5AsCIIgCHoSHRHNNudtbHPeRnREdIYrL63KFjKfLBWUVSoVhw4dokaNGqxatQo/Pz/Na40bN6ZJkyYoFAqcnJxi7Ve4cGEMDNSN6zHhWhAEQRAEQfixZamuF3K5nEqVKmFgYMDatWuRy+X069cPKysrAKZMmUK7du0oW7Ysr1+/xsTEBF9fX27fvo2trS3h4eEYGxsjk8nS90QEQRAEQRCEdJelgjLAw4cPiY6O5uXLl8yaNQuZTEbfvn01Ybls2bLcvHmTGjVqkCNHDqysrPD39+fUqVOYmJikb+UFQRAEQRCEDCNLBWWlUsnKlStxcHBgwoQJLF++nKlTpwLECstVqlRh5MiRBAUFYW1tTZ8+fcQ0cIIgCIIgCEIsWSooR0dHU7VqVcaMGUOlSpWoWrUqffv2Zdq0aUDssDxr1qx0rKkgCIIgCIKQ0WWZkWtKpRJjY2NGjx5N1apVMTAwoEKFCqxcuZLChQszbdo0Vq9ejb+/P6BejOTbfwVBEARBEAThW5m2RdnLywtjY2MMDQ2xtrZGoVBo5k2OIZfLqVy5MitXrqR///7MmjWLsLAwfvvtN830b2LgniAIgiCkLoWRgmb/NNN8ndHKS6uyhcwnUwbladOmsX37dnx8fKhatSrdunWjU6dO8U7tJpPJqFy5MqtWraJ9+/asWbOGIUOGpEOtBUEQBOHHpDBUUG1ItQxbXlqVLWQ+mS4ob9y4kenTp9O7d28MDAw4c+YMXbp04cGDB7i6umJoaBhnH5lMRqVKlfj333+xsrIiR44c6VBzQRAEQRAEITPJdEH50aNH5M+fn8mTJ2NnZ8edO3dYvXo1M2fOxN/fn8WLFyNJUpzWZZlMRsWKFdOp1oIgCILw41IpVXhe8ATAobYDckUKl7D+rjx90nddhcwt03z3vx185+vry7t37wCoUKEC48ePZ8KECSxdupQ///wTuVyOJEkMGTKEtWvXpme1BUEQBOGHFx0ezYZ6G9hQbwPR4XpYwlrP5aVV2ULmk2mCcsygu27duhEcHMz69es14Tl//vz079+fX3/9lenTp3P48GGOHTvGsmXLWLNmDcHBwelZdUEQBEEQBCETyjRBOUbZsmWZOHEiS5YsYc6cOZrnHRwc6N+/P7lz5+bgwYNUrFiROXPmsHbtWiwsLNKxxoIgCIIgCEJmlOn6KAP8/vvvvHr1inHjxqFUKhkxYgTGxsZUrVqVkiVL8vDhQ3LlysXIkSPTu6qCIAiCIAhCJpUpg7K1tTV///03BgYGTJw4kSdPntC+fXusra35/PkzBQsWJCIiAhMTk/SuqiAQHa3izRt/8uXLjolJprzkBD05dswDgCZNiqRzTQRBEARtZNq/2rly5WLevHmULVuWSZMmsWXLFiwtLTEwMGDjxo0iJAsZQmSkkrJll/Hs2WdsbMx49ep3LCyM0rtaQjo4dsyDpk23AHD0aFcRlgVBEDKBTBuUASwtLRk+fDgtW7bk2rVrAPz8888ULFgwfSsmCIIgCIIgZHqZOijHcHR0xNHRMb2rIQhxGBkpePRoMG/eBJAvXzaMjbPEJSckQ5MmRTh6tKvma0H4kSgMFTSc3VDzdUYrL63KFjIf8VdbSFNRUUouX/bi+PEX2NlZMHRoNc3Uf1mVQiGncGHr9K6GkAH8SAE5KkrJn3+eA8DV1QkDg0w3yZKgRwojBTXH1Myw5aVV2ULmI4KykOrevQvE3d0Dd3cPTp58SWBghOa1ly+/MG9ekywflgXhRxIZqaRLl3/599/HADx/7sfmzW1FWBYEIdMRQVnQu5hW4yNHnuPu7sH9+59ivW5jY0b16vk5dOgZCxao+5aLsCwIWUNERDTt2+/i4MFnGBkpkCSJHTseAoiw/ANTKVW8v/0egDyV8uhlCetvy9MnfddVyNxEUBb0JjJSyfDhR9my5X6sVmOZDKpVy0ezZkVo3rwolSvnRS6XsWrVLfr3PyTCsiBkEWFhUbRtu5OjRz0wMTFg796OmuCc0rDs4xOCi8sOAgIi6NOnAj17ViBHDlN9n4KQSqLDo1ldbTUAE4InYGSestl/vi9Pn/RdVyFzE0FZ0IvISCXt2+/iwIGngLrVuGnTIjRrVoTGjR2xsTGLs0+/fpUBMmRY3rnzIUqlik6dymSI+ghCagsJiWTQoMNIEixd2pxs2Yx13r916+2cOvUKU1MDDh7sTIMGhQHYtat9isKyj08I9etv5MED9d2pkSOP88cfp+nYsTSDBlWhWrV84joVBCFViKAspNi3IdnYWMG2bb/QunUJ5PKk/3BlxLD855/ncHU9C8CRIx6sWtVSLBQiZGkhIZG0aLGVc+feAPDs2Wfc3btq3WIbFBSBs/M2zp9/g4WFEYcPd6FOnQKa11u3LpHssPxtSM6Tx4LRo39m06Z73LnzgQ0b7rJhw10qVLBj0KAqdOlSVsxTLgiCXomON0KKfB+SDxzojItLSa1Ccox+/SqzcqUzAAsWXGPkyGNIkpRaVU7UtyFZLpexefM96tZdj7d3ULrURxBS27chOXt2Y3LkMOX69XfUrbueDx+Ck9w/ICCcJk02c/68ev/jx7vFCskxYsKyoaGcHTse0q3bHqKjVYmW/X1IPnu2FyNH1uD27f5cufIrPXqUx9hYwZ07Hxgw4BB5885lyJDD3L//MdnvhyAIwrdEUBZSZPz4k7FCcuPGyZvP+vuw3Lnzv/j4hOizqvEKD4/m1KmXjBt3ggoVlmtC8qxZDTlxorsmNDg5rU/yj7ogZBafP4eyY8cD+vTZT9GiizUh+dixbpw714s8eSx48OATLVtuS/JDa6dO/3LlylusrEw4ebI7NWrYJ7jt92H5jz9OJVp2hw67Y4XkYsVyAiCTyahePT8bNrTB23sUc+c2pmjRHAQFRbJ06U3KlVvOqlW3dH9jBEEQviPuJwsZRkw3jIEDD7Njx0NOnXrF4sXN6NixtN66YkiSxOPHvhw//oLjx19w9uxrwsKiNa8rFDL++qsho0f/zKlTL/VyTEFIb9HRKq5ff8exYx4cPfqCGzfe8W3+tbEx4+DBzlSvnl/TD1gbAQHhHDvmAcCJE92pUiVvkvu0bl2C1atb0bPnPnbseMjs2Y20OlZCgV2SpHS7AyUIQtYngrKQIn/91ZAXL75w4MBTWrXalqJWZVCH5YoV89Cnz37u3/9E587quVg3bXJJcT/hjx+DcXbexs2b3rGez5PHgsaNHWnSxJGGDQtja2vOihU3GTLkCEqlRLVq+di7t6OY1krIlDw9A2jceBNPn36O9Xzp0rY0aeJIkyZFqF3bAVNTQ27ceEfTplvw8wujbNlcHDzYOdEPqdeuqQN3oUJWWoXkGG3blqRPn/14egbw5o0/BQpYxbvdzp3tNF0v6tXboGlVliSJq1ffsmzZTXbufEhEhBKAbNmM6NGjPAMGVKZs2dxa10cQBCEhIigLKWJkpNAM0okJy/v3d0rRCmRVquTl5s3+zJx5genTL7B79yOCgiLYt69TssPyhw/B1K+/gcePfTExMaBOnQI0blyYJk2KULq0baww8OlTiCYkd+9ejpUrxWA+IXPy9AzAyWk9r175Y2lpTJMmRWjSxJHGjR3Jnz97rG3DwqJo3nwrfn5hVKuWT6vBfFevvgVItLtFfCwsjKhcOS/Xr7/jwgXPBIOyra05p0/30IRlJ6f1jB79Mxs33uXu3a/9kCtWVA/m69xZDObLqBSGCuq61tV8ndHKS6uyhcxH/PUXUuz7sNyhw268vUdinoK5J42MFLi6OlG3bkFatNjKsWMvaN16O/v2dcTU1FCnst6/D6J+/Y08eeJL/vzZOXu2J46OORLc/sSJFyiVEuXK5WbDhjZi2ikhU/o2JDs6WnP2bK844fhb58+/wdc3lDx5LDh5srtW08NduaIOytWr59O5frVrO/x/UH5Dt27lEtzu+7A8atRxAExMDOjUqQyDBlWhatW84jrN4BRGCpzcnDJseWlVtpD5iHvJgl7EhOX8+bMTGBjBxYueeinXyakg7u5dMTc35PjxF7RqtZ3Q0Cit93//Poh69Tbw5Ikv9vZJh2SA48fVfZObNnXUyx9fSZL455/r/PPPddGXMgsKD49m8ODDDB58mPDw6KR3SAO6hmSAY8deANCsWRGtQrJKJXHtWvJalEEdlAEuXEj6d0VMWK5Z054yZXIxf34T3r0bybp1rcUcyoIgpCrRoizojZGRgkaNCrNu3R1OnXqVou4X36pTpwDu7l1p1mwLJ0++1PSFNjNLvGXZ21sdkp89+4yDgyVnzvSkcGHrRPeRJInjx9WBQR/1lySJYcPcWbLkBgBPnviyeHEz8Yc9iwgPj8bFZQdHj6oHtL165c/evR3TtatOckIyfA3K2v7cP3v2mS9fwjExMaBcOd37A9eqpQ7Kjx/74uMTgq2teaLb29qac/FiH52PI2QMkkrC57EPALYlbZHpMIWoNuXpk77rKmRuokVZ0KsGDQoBcPKkfmeMqF27AEePdsPCwohTp17h7LyVkJDIBLd/9y4QJ6f1PHv2mQIFLDl7NumQDHD//ic+fAjG1NSAmjV1byX71rchWSZTL+W9ZMkNhg1zFy3LWcC3IdnMzBAzM0OOHvXAxWVHurUsJzcke3kF8OiRD3K5jIYNC2t1rCtXvAD1mAIjI937cebMaUapUuqAo687UELGFRUWxbIyy1hWZhlRYdrfFUyr8tKqbCHzEUH5GyK8pFzMkrV37nzg8+dQvZZdq5YDx451I1s2I86ceY2z87Z4w/Lbt4E4OW3g+XM/Cha04uzZXhQqlHRIBjStyU5OBTE2Tn6r4PchefXqVqxe3UqE5Szi+5B8+HAXDh/ukq5hObkhGb7+3Fetmlfr1fi+DuTLH+/r0dEqfv11P337HkhwDnJdul8IgiCkBxGUga1bt/Ly5UtxO1wP7OwsKF3aFkmCM2de6738n3+214Tls2df07z5VoKDv4ZlLy91WPDwiAnJPSlY0Err8r/efk7+FHfxheQ+fSrSp09FEZazgPhCspNTQZycCqZbWE5JSIbk/dx/HcgXf1CePv08a9feYc2a/5gx40K824igLAhCRvfDB+WxY8cyaNAgnjx5IkKLnsR0v0itBTtq1LDn+PHuZM9uzPnzbxgw4BCgDqgtW27jxYsvFCpkxblzvRKcdio+ERHRXLjwBoCffor/j3/Mcby8Ajhx4gWLF19j9OjjdO78L3Xrrqdo0cVYWMyME5JjfB+W//nnevLeBCHdjBx5LE5IjvF9WB458liyjrFr10Pmz7/C5cteSYZtf/9w6tffkOyQDHDq1CsAredADw6O1CxMUrx4zjivP33qy59/ntf8f8qUczx96htnu5i5jv/7732iXakEQRDSyw89mG/ChAnMnz+fGTNmUL16dU2LsiRJonU5BerXL8SiRdc5d+5Nmh43LCxaM7fq8ePdcXCw1Gl/mUxG7twWeHoGMHDgIdzdu/L5cxhPnvjGeYSEJN5vzdTUgKVLW9CrV4U4r/30Uz5MTAwIC4tGqRQfzoSvJEnC1fUsU6d+DZmGhnIqVLCjevX8mkehQlbIZDIkSaJv3wO8ePFF081I15AMYGlpjJ9fGLduvadmTYcktzcwkJM3bzbevQuic+d/OX26JzY2ZprXZTIZCoUMlUr9861QyOL8TvX1DaVbtz2A+k6UQvHDt9v8cAI8Awj1TbyLXsygOkFILz9sUF64cCGzZs1ixYoVtGvXDmtrdR9WpVJJREQEZmZmOgXmiIgIAgMDAQgMDMTY2Bhj46SnWMosTp9+hUwG9eoVSnJbXUez6+rKFS+aNNlMUFAkdesWYMUKZwDk34xMzp1b92MaGSk4frwbdeuu5+7dj+TNOy/BbQ0M5BQpkoMSJWwoXNiKfPmyky9fNvLm/fqIb77ngIBwXFx2EBYWTf36hRg6tJrO9cyMtL0+MsN1NG9eE1698ufoUQ9atNgaq1X57NnXtGixldDQKJo2LcK8eU20LleSJEaNOs78+VcBqFu3AI8f+/LpUwg3bnhz44Y3ixer70DY2ppRvXp+cuQw5d9/H2NoKNdMz5gc48bVZODAw8yceZG+fSslOaOMiYkBJ0/2oF69Ddy//4n69TfECsvFiuVkz56OzJx5EYAJE2pRrNjXlmdf31Dq11fva2dnwcmTPbSaKWT37kcAtGtXKlnnmdllhutDWwGeASwpuYQoLab7NDQzxOybD2KCkJZ+yKAcGhrKp0+fsLGxQalUYm1tTWhoKF27duXt27coFArc3Nxo2rSp1mXOnDmTKVOmAGBvb4+rqytubm6pdAZpa8GCq4wYob6FvGRJcwYPrpro9jlzmlG6tC0PH/pw8aInLi4l9VaXS5c8adp0C8HBkTg5FeTQoc6ahU2+DcoxLVm6Kl7chlOn1IsbfPoUgqWlMSVK2FCihA0lS9povi5c2BpDHVdsUqkkevbcx/PnftjbZ2f79l9+mGWxtb0+MsN1ZGJiwN69HTX9lGPCMhArJOsyTZxSqWLgwEOsXv0fAIsWNWXYsJ+QJIk3bwK4evWt5nH79nt8fEI5ePCZZv9ZsxrqtIT093r3rshff13i9Wt/li27wahRPye5T4kSNpw50zPBsOzsXIwWLYoCxGpw+D4knznTkxIlbJI83tSp55g8+SwArq51cXWt+8Pd+csM14e2Qn1DiQqNwmWzS5LTu5nZmGGp4x1CQdAb6Qd17949qUmTJlK9evWka9euST/99JOUN29eqUGDBlKxYsUkuVwurV+/XpIkSVKpVEmWFx4eLnl5eUmA5OXlJYWHh6f2KSRIpVJJCxdelRYsuCIplUnXPTHTp5+XwC3WY8mS60nuN3DgQQncpBEjjqbo+N+6cOGNZGExQwI3qX79DVJISGSs1yMjozV19PMLTdGxAgPDpffvg7T63msr5r00MpoqXb/+Vm/lZgbaXh8Z6TpKSlhYlNS06WYJ3CQzs+mSmdl0Cdykpk03S2FhUVqXExkZLXXuvFsCN0kunyKtXXtbUqlUCf7shYVFSVeueEnz51+ROnXaLU2YcFIvP6dr1tyWwE2ytv5Lunv3g9b7PX7sI9nZzZHATSpbdqnk4xOS4LY+PiFS2bJLJXCT7OzmSI8f+2h1jD//PBvn99DEiadSdN5hYVHSsGFHpN9+OyKFh2v//UpPulwfAQEBEiAFBASkYQ0TFh0RLR0bfUw6NvqYFB0RLXnf8pbccJO8b3lniPISK1vIenS5Pn6ooPzw4UPp2rVrUlBQkCRJknT27FkpW7ZsUoMGDSQnJyfpxo0bkiRJ0v379yUXFxfJ3NxcevbsmdblZ4RfTCqVSho06JDmj0mPHnulqChlssr53/9OacpxdT0jjR59TOuwvGXLPQncpCpVVib3VGI5f/61ZG6uDiINGsQNyZIkSdHRSk39Pn9OWVDWRnS0Ulq58qYm2CTm2DEPSSZT123VqlupXreMSNvrIyNcR9r6NiwnJySHhUVJrVptk8BNMjD4U9q584H0+vUXqUKF5VK5csukR48+pWLtY4uMjJYqV16hCctXr3ppva82YVkfIXnmzAvSvHmXNf8fO/Z4ssJySEik1LjxJk05zs5bM01YzirXkT6DbWqUJ2RtulwfOt33jYiIoEqVKuzfv1+fjdppws3NjZo1a1K9enUcHR35+++/qVu3LosWLeL06dNERERQtKj6NmGZMmXo27cvkiTh4eGRzjXXniRJDBlyhGXLbiKTqQfQbNx4l/btdxERof00VZIkMWbMCaZNU0/pNGtWQ9zcnJg9uxGjR9cAYMiQIyxdeiPBMmKmfbp9+z1BQREpOCs4d+41zZptISQkikaNCnPwYPyr8umj64W23r8PokmTzfTvf4g+fQ4wbtzJBGdNiY5W0bPnPiQJ+vatSN++lVK1bkLaiemGMWhQFQYNqqJTd4vg4Eicnbdy4MBTTEwM2L+/E+XL21G79jru3PnAvXsfY/1MpzZDQwUnTnSnRo38fPkSTsOGmzhz5pVW+8Z0w7Czs9B0w/D9ZpCWPrpbzJzZgPHjazFiRA0WLVJ3i5s9+zKjRh3Xacai4OBIWrTYyvHjLzAzM8TExIBDh57Rrp1uvyeFjMnnsQ/vb79P9BHgGZDe1RQyEZ36KBsbG6NSqTh//jytW7dOrTrp3c6dO5k+fTqjRo2iVKlSuLu7M378eKytrenduzePHz+mdu3aWFp+7QNlbGyMubk5BgaZoxv39yF57drWWFub0KHDbvbte4Kz8zb27u2IhYVRouWoVBLDhh1h6dKbACxe3Ewz4EwmkzF7diMA5sy5wpAhRwDi7bNsb29JwYJWvH7tz5Urb7Wedup73w6OatzYkX37OsY7SC6mft+eR2o5fvwF3bvv5dOnEExMDAgPj+bvvy8TGalk/vwmcfpNfvoUwocPwcjlMhYvbp5q9RLSh4mJeoYTXfj7h9OixVYuX/bCwsKIgwc7kzOnKXXqrOPjxxBy5jRlyZLmFC+edJjUJ2trU44f706bNts5deoVzZptYffuDjg7F0ty34T6LAN6C8kxhg37CQMDOYMHH2H+/KtER6tYuLBpkn2WAwLCad5c/b5ny2bEkSNdCQ+PpmXLbZqwvHt3+xQtNiTET1JJmoCqj/7G35dnZmOGoZkhe7vtTXJfQzNDhjwekmA9vi9bLGH9Y9P5t4Grqyv9+vVDpVLRtGlTbG1jd8KvVCnjtZY9fPgQe3t7xo8fj5WVFR07duTVq1f8888/9O3blylTpmBiYsKJEyfw9fUlPDyc3bt3Y2xsTOnSpdO7+kmKLyTHTEt25EgXWrfezsmTL2nUaBNHjnTB2jr+lbeUShX9+h1k3bo7yGSwcmXLOK2fuoTl2rUdeP3anwsX3ugclD98CMbV9QyrV/+HSiVpPThKJgNJSp1VFqOilEyefIa//roEQNmyudixox0XLngyYMAhFi68RmSkkn/+aR6rJdDHJwQAGxszrVsbhazLxyeEJk02899/H7CyMuHo0a7I5TLq1l3Ply/hlC+fm+PHu5Mr19eZW06desmSJTdYv74N2bOn7iwHFhZGHDrUhU6ddrN//1NcXHawaZMLnTqVSXLf+MIyoNeQHGPQoKoYGMgZMOAQixdfJzpaFefa+5afXxhNmmzm5k1vrKxMOHasG9Wq5QPg4MHOIiynsqiwKBYWWgjAhOAJei/P0sGSIY+HaDXd3N5uewn1DU0wKH9ftpF54g1MQtam828CFxcXQD292qJFizTPS/8/lZpSqdRf7fTE0tKSt2/f8vHjR6ysrDA2NqZChQqsWbMGHx8fbG1t8fPzY968eRw7dgwrKyvs7Ow4cuQIefMmfyR5WkgsJIN6SelTp3rQrNkWrl59i5PTBo4d64adnUWscqKilPTsuY9t2x4gl8vYsKEN3bqVi/eY2obl2rUd2LTpHufPa7/qVkhIJHPnXmH27EuauYo7dy7D2rWttQqZcrkMpVLSe4tyUFAETZps1qxGNmhQFebObYypqSElS9piYCCnb98DLFt2k6goJStWtNT8wfbxUf/itrUV0xv96Ly9g2jYcCOPH/uSK5c5J050x98/HGfnrQQFRVK9ev44H2YjIqLp2XMf794FUaLERWbMaJDq9TQxMWDXrvb07r2fLVvu06XLvwQGRtC/f+Uk9/0+LAN6D8kx+vWrjKGhgj599sd77cXw8QmhcePN3LnzgZw5TTlxojsVK+bRvN6wYWERlrMASwdLMTuGoHc6/xZYt25datQjVcSE98qV1b/cJ0+ezPLly7G2tsbOzg6lUklwcDC2trbkyJGDjRs34uXlBUD+/PnJlStXelZfK/PnX00wJMf46af8nDvXi8aNN3Pv3kdq117HqVM9Yi3IMWTIEbZte4CBgZxt235Jcp7S+MJyyZI2seZZrl27AADXrr0lKkqZ5HRqSqWKGjXWaP64GhjIWbSoKX37VkKS1EsHK5UqVCopziMqSsXu3Y80C3joeyEPCwsj8ufPTvbsxqxZ0yrO+9OnT0UMDeX06rWfc+fe8OVLGDlzqoPxty3Kwo/LxyeEunXVy6vnz5+dkye7Y2ZmSPXqqzXzau/f3ylO9yhjY3U/6BkzLjJpUp00q6+hoYKNG13Ils2I5ctvMWDAIZYtu0n9+gWpX78QZcvmxtTUAGNjA0xMDDA0lGu6PsSE5SZNNgNw7Fi3REOySiVx7JgHCxde0yynnVRIjtGrVwUMDOT07LmP1av/o0iRHIwbF3u/tm13cufOB3LlMufUqR6UKRP3d/v3YXnUqOP884/oKiUIPzqdg3LPnuo+Z48ePeLu3bs0aNAAhUJBzpxxlzFNL9euXaNo0aLkyJEDgLp16zJy5EjKli2LlZUVAM+fP8fKyop8+fJpBu1dvnyZRo0aZfhW5G+dOKFeJnrKFKd4Q3KMsmVzc/Fibxo23ISHhx+1a6/j5MnuFC2akwsX3rBq1W1kMvj33w60alVcL3WLGcxjbGyg1aAkuVwWa3Wu6GgVgwcfYfDgIzod19HROtZt65SI+bAlk8lYtaolfn5hFCpkHe+23buXx8LCiKpV82lCMqBZcOXRIx98fUNFYP4BRURE07btTjw8/ChY0IozZ3pSsKAVnp4BREerAGjZsliCYwiqVs3H3r0d07LKgPqaXLq0BTlymDJz5kXu3PnAnTsfmDfvapxtZTJ1S3RMcDYxMcDAQI5CIaN16+1ER6sSfERFKYmKUmnKmTWrIWPG1NTLOURERHPxovqu1smT3eMNyTEaNizMmjWt6Np1DydPvtTL8QVByNx0Xu0gOjqadu3aUaZMGbp168aDBw/o168fzZo1IyAgfUeSqlQqDh06RI0aNVi1ahV+fn6a1/766y+6du2qafHw8fHB3t4eIyMjnj59yuDBg3F1dUUuz1wLQLx9q16lKaavXWIcHXNw4UJvihXLiadnAHXqrOfu3Q+arhN9+1bSOiRLksTYsSeYM+cKoF6I5PtV+7ZvfwCAi0sJrZanlclk3LjRj2vX+jJzZgMaN3bE1FT7z3LFiuVk2bIW3L8/CCMj3RYDic+8eVfo2XOfphuHpaVJgiH5zJlXKJUqXFxKxlkdrW7dAhQsaIWPTyjNmm0hMDBls4AImYskSfTvf4iLFz2xtDTmyJEuFCxoBYCDgyV//62+MzNu3Elu3fJOsrzAwAjmzbuCv394alZbQyaTMX16A96/H8W2bb/Qt29FChe2jnONSZJ6GXl//3A+fAjm9Wt/Xr78wvPnfjx79pmXL7/g6RmAt3cQnz6F4OcXRmBgBKGhUURFqbC0NGbkyOo8fz5Mp5C8bt1/9OixF5VKom/finH2jen6ZGAgTzQkx4hZuMXbO0jrOgiCkHXp3KI8evRozp49y8KFC/n9998BGDhwIN27d2fUqFGsXr1a75XUllwup1KlShgYGLB27Vrkcjn9+vXDysoqVh/q6Ohovnz5grm5Oc+ePeP333/n2rVrnDt3Djs7u3Srf3K8e6cOyvnyabd0bf782Tl//ms3jCpVVhEdrSJHDlOt+z7GF5K/758cHa1i1y71crPaDAKKYWAgp1q1fFSrlo/x42sRFaUkKCgShUKGXJ7wQx8rdKlUkqbl++lTX8aNO0l0tIp27Uol+gFi5Ur1bemePcuzdm3rOK3nhoYK3N27Urv2Om7e9KZVq224u3dNcPYOIWuZNesSGzfeRaGQsXNne0p+twrZb7/9xNmzb9i37wkdOuzm9u3+WFqaJFhe8+ZbuHTJi+hoFWPH6qfVFdTX9dGjHigUcho1Khznmsqd24JOncrEup5VKonISCXh4dGaR0TE16/DwtTTrRkYyJN82Nqa6dwneNWqW/TvfwhQjxuIbzDfp0/qrk+2tmZa/Z7ImzcbAEFBkQQFRZAtW+ZcIloQBP3QOShv2rSJ0aNH06VLF01Qbty4MePGjeOvv/7SewV19fDhQ6Kjo3n58iWzZs1CJpPRt29fTZcLuVyOsbExJUuWZP/+/QwZMoTLly9z+fJlypcvn76V11FYWBRfvqhblb5vxUxM7tzqgTXNmm3h+vV3AEyfXl+rLgHahGRQz3386ZN6mqsGDQrFeV1bhoYKcuSIf5aOlFAqVTx79plbt95z86Y3t2695969j7x7NxILCyOKF7dh9eqWfPoUQsuWiU+NlTOnKQqFDGtrExL6O1yihA1Hj3alXr0NnDv3hg4ddrNnTwedl8EWMpc9ex4zYcIpABYtahbv7C8ymYy1a1tx584HPnwI5r//PuDkVDDBMvv2rcSlS14sWnSN4cOr6+Xuydmzrxk37qTm90GbNiX4559mSX4Al8tlmm4WaW3ZshuablnDhlVLcHq4mDEC2nbHsrAwInt2YwIDI/D2DqJ4cRGUBeFHpvNvN6VSibl53F84ERERRESk7y1lpVLJypUrcXBwYMKECSxfvpypU6cCxArLADVq1GDz5s3cvn07U4ZkgHfv1LcGzcwMsbTU7Zd5jhymnDzZnWHD3DEyUtCvX9LT+mkbkuFrt4t27UrFCYNKpYqxY08QGalk0aJmemkN1sanTyEsX36TU6decfv2e4KDI+Ns899/7zWDEHv2rKBVub/8UoqbN/tTvnzuRM+lcuW8HDrUhSZNNnPo0DN69drPpk0uabqohJB2bt3yplu3PYA6yCV0rYB6/uJ//+2AqalBnBbn73XuXIYJE07x7l0QO3c+THB2Gm3cvfuBCRNO4e6uXljJzMyQyEgl+/Y94fTpV8ye3ZB+/SpnuJ/RxYuv8dtvRwEYObI6c+Y0TvDa+9qirP24hbx5s30TlNN2LuusSm4gp8rgKpqvM1p5aVW2kPnoHJQ7duzIggULKFGiBKDu67t9+3b+/vtvWrTQbdJ9fYuOjqZq1aqMGTOGSpUqUbVqVfr27cu0adOA2GF50KBB3Llzh6FDh1K2bNl0rHXyfe12kS1ZYTNbNmPWr2+j1ba6hOTISCX//vsYgI4d485DPXPmRebNu8rQoVXTJCR7ePgxd+5l1q+/S3j415W3TE0NqFgxD1Wq5KFKlbxUrpyX4sW1G5R6+vQrSpSw0dymrVBBuy47deoUYPfu9rRps4OtW+9jaWnMkiXN0+zDgpA23r0LpFWr7YSFRdOkiSPz5jVJcp9KlfIkuQ2oB8cOG1aNiRNPM3fuFbp2Lavzz4+vbygjRhxjy5Z7SBL/Px9xZSZNqsOnTyH063eQa9feMXDgYbZsuc+qVS0zTGCcN+8Ko0YdB2Ds2J/566+GiZ5/TB9lXQb45suXjSdPfDWNEULKGRgb0GKJ/jKCvstLq7KFzEfnoLxw4ULatm1L06bqJUS7dOmCJElUrFiRf/75R+8V1JZSqcTY2JjRo0drZimoUKECK1eupH///vGG5RUrVqRbffUhZiCftv2TkysiIpqxY0+waNF1IPGQDHDixAu+fAnHzs6COnUKxHl94MAq7NjxkLJlc2ueu3r1LX/+eY7//a8OP/9sr5d6X7v2lr//vsyePY+JWX+katW89O9fmerV81OihA0GyWgtuHTJE2fnreTKZc6FC72xt9dt3s4WLYqxaZMLXbr8y7JlN7G2NmH69NSfG1dIGyEhkbRqtR1v7yBKlbJlx452Ov+cnT//hoEDD/HrrxUZNernOK8PHFiF6dMvcOfOB06ffkWDBoV1Kt/MzJBTp14iSeoxBFOn1qNIEfUsQblzW3DpUh/++ec6Eyee5sIFT6pVW42n5/BE+06nhTlzLjNmzAkAJk6szdSp9ZL8kPBtH2VtxXwAFgP6kifAM0CrhT8EITPQOSibmJhw5MgRrl69yq1bt1AqlZQsWZJGjRqlRv0S5OXlhbGxMYaGhlhbW6NQKFCpVLFmrZDL5VSuXFkTlmfNmkVYWBi//fZbrOWqM6uY1g5d+ifr6tSplwwefIRnzz4DSYdkgO3bHwLQoUOpeGe7sLEx4+7dgbFu586YcQF3dw/c3T2oV68g//tfHerVK5iiltYpU85pbim3aFGUMWN+pk6dAikq88GDTzg7byMsLJoyZXLFWbhFW506lSEgIJyBAw8zY8ZFrKxM9DYdlpB+VCqJHj32cfv2e2xszDh0qLPO4TIqSsmQIUd4/NhXMwYB1ANkg4MjsbIyIUcOU3r3rsCSJTcYNeo4LVsWI1s2Y7JlM9L826JFMU1A//AhmD17HjNwYBXkchlmZoasXt2K3LnNqVw57nSYCoWc33+vTuvWJRg06DA//5w/3UOyh4cfY8eqQ7KbW10mT66r1bUcE5R1bVGGr3ftBO0FeAawpOQSokKjktzW0MwQs2ROlylJkiaMm9loN1AzI5QtZD46B+X69eszceJEGjRoQPXq1TXPHz9+nEWLFnHo0CG9VjA+06ZNY/v27fj4+FC1alW6detGp06d4p3aLWbBkVWrVtG+fXvWrFnDkCFDUr2OaeHbrhf69uFDMCNHHmPbNnVfYzs7CxYvbpbkQiRhYVHs2/cEiD3bxYMHn7h27S2//qruC/19n8d585qQO7c5Gzbc5cyZ15w585oaNfIzcWJtGjZUj8CPWZY6pnXYyEihKSc0NIodOx7QuLGjpoV93Lia5M5twejRNShdOuWLx7x540+TJpvx9w/n55/t2bGjHRs33sXHJ5S2bUtSrJhuc4kPGFAFf/9wxo8/xdixJ7GyMqFfv6RXPhMyrkmTTrNnz2OMjBTs3dsxwekEE2NoqODWrf4cOvQsVneMo0c9aNduJy4uJenduwK//fYTy5bd5O7dj9y9+zFOOZGR/9N8PWLEMbZvf4ClpTFdu6r7NDdvXjTJuhQsaMWRI11irXR5/fo7tm27z59/1kvTGSGWLLmOJEHTpkVwdXXSer/krIz5tUU5WKc6ChDqG0pUaBQum12w/aa/fVRYFOtqqRcs632xN4am6pCc3JX0okKjmJNrDpC8ZaYTa9H+tq5iCWtB66B8/vx5AM6ePUvNmjUxNIw9tdW2bds4ceKEfmsXj40bNzJ9+nR69+6NgYEBZ86coUuXLjx48ABXV9c49QJ1WK5UqRL//vsvVlZWmoVIMruYFmV9B+UvX8KoUGE5Hz+GIJfLGDKkKlOn1tOqRWnz5nsEB0dSoIAl1avnB9StbL/8spNnzz4THa1iwIAqcfYrUiQHq1a1YtKkuvz99yVWrbrNlStvcXbeluCx/vtvgKZv8Pz5V/jf/84wZszPmhUD69YtSN26BZPxDsT1/n0QjRptwts7iNKlbTl4sDPz519l0qQzAEyYcIrBg6uweHHc6akSM25cLb58CWfWrEsMGHCISpXyxNvCJ2R8Z8++ZsaMiwCsWtWSWrUckl2WkZGCtm1Lxnru5MmXREQo2b79Adu3P6BNmxIcPNiZCxfe/P9UZurpzIKCIomIiI41iDY0NIrixXNiZaV7q7BMJkOhUP9MK5Uq+vU7yL17H6lVy4FfflF/cD516iVLl97E1tYMW1szcuUyx9bWHFtbMxQKOZ8/h+LnFxbrYW5uxIIFTbWqQ0RENOvW3QHgt9+q6VT/mFkvdBETlB8+/ERkpFIvM4v8aGxL2pLnmw96kSFfB0/bVbBLt/BpZmOGoZkhe7vt1Wr7QK9AbLRYel3IurQOyk5OTpq+vzNmzGDGjBmxXpckCScnJ33XL45Hjx6RP39+Jk+ejJ2dHXfu3GH16tXMnDkTf39/Fi9ejCRJcVqXZTIZFStWTPX6paWQEPWtrezZ9duqY2Ag18x/WrlyHmbNapjonL8fPgSza9dDdux4yKVL6iXA+/atFOt2VUyL1NGjL+jfv3KCt7IcHCxZvLg5EyfWYd68KyxbdjPe2SkATQszqL+/+fJl0yzkoE/v3wfh5LSB58/9KFDAkmPHurF06Q1NSDYxMSAiIpqlS28SFaVi+XJnrcOySiXh5xemOQch8/r22/fff+/p3r2cXr+n8+c3oVu3cnTtuodnzz7j4xNC8+ZFtWoZ3revo17qolDImTWrIYMHH47V7ejhQx/27HmsU1l582ZjwYKmSJLEoEGHef7cj61b25I7d9zuTH5+YQQERCCTQZMmRXQ6TuXKebh27R3Dhx+jeHGbeMdNfK9GDXvMzAx5/NiXHj32smVLW60WTRIyPksHS4Y8HpJoH+pvW5RDPyfe11rI+rQOyrt27UKSJDp06MBvv/1G7dq1Y72eLVs26tSpo/cKxohZMESSJHx9fXn37h12dnZUqFCB8ePHY2VlxYwZM7C1tcXV1RVJkhg6dCiVK1emT58+qVav9BTTyvPtbVF9yJbNGHf3rjRpspkbN7xp3Xo7+/d3ihWWfX1D+fffR2zf/pBz517zTWalXbtSjBv3tb+tXC5j69a21Kq1jn37nvz/gJzE++Pa2Vkwe3Yjpk+vT3Bw5P9/SFO/FvO1mdnX+owe/TPjx9fS+zRWMSH52bPPODhYcuZMT9atu6MJyTNm1GfChNps3nyPnj33sWrVbQCtwrJKJTFw4CFWrbqNXC5jw4Y2ojU5E6tbtyDLl7dg4MDDLFhwDVB3KdJXWJbJZJiaGvDihXrF0T//rKf1vps23ePkyZeMGlWD8uVTtqhS06ZF8PD4LdYH1fr1C/HPP83w8QnFxyeET5/U//r4hKJSSeTMaUqOHLEfuXOba87L3d0DT88AXrz4Em9QjgmpkhT7A4k25s5twosXXzh27AXNmm3B3b1rkmE5b95s7NnTgZYtt7Fjx0MsLY1ZvtxZfJjNIiwdLBPt8vFt67cgaB2Uf/nlFwB69uzJr7/+GmdKtZCQED5//ky+fEkvpZwcMb+gunXrxrx581i/fj2VKqlbLfPnz0///v35+PEj06dPp0qVKigUCpYtW0aNGjXo0KEDFhbJG3SVkcUEMX0HZYCff7bH3b0rTZtu5sSJl7Rps4P161vj7u7Bjh0POXXqJUrl1+P+9FM+OnYsTfv2peMdXFi1aj4WLmzKoEGHmTDhFD/9lF+rlh1DQwXW1kkvOJIat0a/D8lnz/Zky5b7cUIyoJnLVtuwHF9I1nY+3MhIJRMnqhexmD69gbgtnIHEdCtKjbAsSRIjRx5HqZRo06YE9esnvZDPixd+WFmZsHPnQw4ffk6VKnlTHJQh5nfP13MqUyaXVstDJ2TKFCfkchmOjvH36f521hClUsLAQPv308TEgH37OtGmzXadwnKTJkXYsqUtnTr9y8qVt7GwMGL27EaiZVkQfjA6X/EbN27kwYMHcZ7fvXs3RYsmfQswpcqWLcvEiRNZsmQJc+bM0Tzv4OBA//79yZ07NwcPHqRixYrMmTOHtWvXZsmQDF+D8reBVZ9q1XLA3b0r5uaGHD/+grx55/Hrrwc4fvwFSqVEpUrqbhmvXv3O1at9GTGiRqIzcAwYUJnu3cuhVEp07Lib9+8z7tRLuoTkGN26lWPDhjbI5TJWrbrNwIGH4v0Qk9KQ3KnTbubMucKcOVfo1Gk3kZHKlJ+woDcDBlRh+XL1HKwLFlxj5MhjsVpfk+vIkeccP/4CIyMFc+YkPcuQJEn07LmPokUXkyuXOa6udaldO/n9plNTr14V6NGjfLytyfD17hmo+0nrKiYsN2niSGhoFM2abeH8+TdJ7te+fWlWrHAGYN68qzg5beDlyy86H18QhMxL6xblmO4LkiSxYsWKOAP3Ll26FO9AutTw+++/8+rVK8aNG4dSqWTEiBEYGxtTtWpVSpYsycOHD8mVKxcjR45Mk/qkl5iWjdRoUY5Ru3YBDh/uQvPmWwkNjaJs2Vx07FiaDh1KU7SobrM8yGQyli935r//PvDgwSe6ddvLyZPdtWptS8sBNWFhUTRosFGnkBwjqZZlfYTkvXufYGysfi/27n1Cp0672b69nWhZzkD03bIcGalk5Ej1IhvDh/+Eo2PSA5JjxgyYmRny55/1UnUaydT2bYtydLQK42QMy0huy3LfvpUwNlYwZMgRLl70pHz55cyf34Rff60oumIIwg9A66C8c+dOzWC+a9eucevWrVivZ8uWDVdXV71XMD7W1tb8/fffGBgYMHHiRJ48eUL79u2xtrbm8+fPFCxYkIiICExM0nfez9SWml0vvlW3bkGePBlCWFi0zlOgfc/MzJB//+1AqVJLOH36FW/fBia5YMfOnQ+ZNOkM69e3pkYN/SxGkpgPH4IxNFSQJ4+FTiE5RkJhGdBbSN63rxMAbdpsF2E5g9JnWF6y5DrPnn0mVy5zJk5MeixIaGiUZmGOCRNq6S0kx7SM6zsgBgSEc+3aOyIiomnZsnic17/t7pCSO2jJDcvdu5endu0C9Oy5j/Pn39Cv30EOHHjKqlUtE2wFF2KTG8gp37O85uuMVt73ZRdzLsazQ8+Qi642gqQjmUwmbdmyRdfdUoW/v780f/58ycLCQjIwMJBy5swp5c6dW3rw4EG61CcgIEACpICAgDQ5XocOuyRwkxYtupomx9OnUqWWSOAmHT78LN7XP38OlSRJklQqlVSu3DIJ3KRJk06nWf2iopTS06e+0tSp5yRwk8BNmjHjvE5lbNp0V5LLp0jgJvXrd0Dq1++ABG6SXD5F2rTprtblRERESy4u2yVwk4yNp0ru7s81r7m7P5eMjadK4Ca5uGyXIiKidapjWtL2+kjr6yi1LV9+Q/MzNHy4u6RSqXTa38cnRLK0nCmBm7Rq1S2t9nF1PSOBm1SgwHwpNDRSkiRJ+vAhSNq377H05ImPzucgSZL09m2A1LLlVmnx4mua565ffyvNn39F53P63oULbyRwkwoWXBDv61FRSs176OcXmqJjSZIkhYVFSU2abJLATTIzmy4dPfo86Z0kSYqOVkp//31JMjJSX3M2NrOlPXsepbg+usjo15H3LW/JDTfJ+5Z3mh5X37LKeQjx0+X60Pmj0qtXr3BxcYnz/JkzZ/j1119TGNt1Y2lpyfDhw7lz5w4bNmxg0aJFXL16ldKlS6dpPdJLas16kVwfPgTTqtU2nJ23JtmPr2xZ9cCf+/fjLpSwYcMdihRZxMWLnshkMs6e7cnEibX53/++tqSl9jkbGMg1LdmgXUvy977vs6yvluSmTb9Oj9W0aRH27euEsbFC07Is+ixnLN/3WR49+rhO+0+efIaAgAgqVLCjd+8KSW7v6RnA7NmXAJgzp7FmtprRo0/Qps0Otm+PO8ZEGwcPPuPgwWdMnnyG4OBIAgLCadt2JyNGHGPx4uvJKjNGoUJWAHh5BRAdHbcP8rd9lON7XVcxLctNmxYhNDSKli23sXv3oyT3UyjkjB79Mzdv9qN8+dz4+obStu1OevXaR0BAeJL7C4KQ+egclI2MjHBxccHR0ZHChQtrHm3atGHPnj2pUcckOTo60qVLF7p06ULBggXTpQ7pIa26Xmjj+vV3VKmykoMHn3H48HPKlVvGqlW3EhzEVK5cbgDu3/8U63mVSmL9+rt8+RLOkSPPAbC2NmXatPqabgWSpF7AZMKEk0REROvtHPbte8K0aeeJiIhmxowLKQrJMb4Ny/oOyTFEWNZNREQ0w4YdYdiwI3r9+UnMt2F53ryrrFlzW+t9f/21IrVqObBwYVOtZlwYN+4kYWHR1KlTgF9++bpoyU8/qWckunbtndbH/vb67d+/Mr/9Vo0LF3pjYWFE9uzGjBnzM2XK5KJXrwpalxmfPHmyYWSkQKmUePs27rLRMplM74OXTUwM2L+/E+3blyIqSkXHjru1/r6ULZuba9f6Mn58zf+/ru9Srtxyzp59rZe6ZUWSJBEZEklkSKReBrfqu7zvy44Ki9J8LfzYdF7CevDgwdy8eRMnJyf27t1L48aN+fz5M69fv2bBggWpUEUhITF/OGJW6Esvr1/7U6fOOiIilJQsaYONjRkXLnjSv/8h9ux5wooVzjh8N2dlzFRS3wdluVzG4cNdWLv2P4YMqRrv8S5c8GTfvicYGSno3r08pUrZxrudLiRJYvjwo7x5E8Dnz2EsWHBV89rx4y9xd/dAqZRQKlVx/jU2NiBnTlNsbMw0/6q/Vv9burQt//7bgXz5slG1qvbTJ44ffzLJkBwjJizH9FkeP/4k8+Y1SdF7klX163eQTZvuARAQEMHGjXHvkKWGAQOq8P59MFOmnGPIkCM0a1ZUswLc9x4+/ER0tIry5e2oXDkv58/30qpf8N27HzQtxl5eAXTq9C9FilhjZmbIrVvvAbhxw1ur+n76FELv3vsZMaI6tWs7YGxswMKFzTSvy2QyfvvtJwYNqpLiKdPkchkFCljy/LkfR448Z/DguNe+QiFDpZJwd39O4cLWGBsbYGSkiPUwNv76tYWFUZLvmZGRgm3bfsHKyoRVq27Tt+9BQkKi+O23n5Kss7GxATNnNsTZuRg9euzj5csv1K+/gcOHu9CsWerPAJXZRIVGMdNiJqCfZaH1Xd73ZccsOBIdnjYfpoWMS+egfPbsWVxdXRk+fDh169Zl7Nix1KtXj27dunHlyhV+++231KinEI+aNe3ZtOkec+deoXjxnPTrVzld6nHt2lsiIpQUL56Tq1f7YmFhxIIFV/njj1McPepB6dJL+euvBgwaVFUT7mvUyM+CBU34/DksTnlmZoYMHZrwMrV16hRg796OeHsH6SUkg3ohgxw51C3XpUrZ8s8/1zW3ePXVSlSsWE6OHu1KoULxzxX7vZhWYQcHS5ycCia5vZNTQRwc1GEjKkq0KMfn/v2PmpAM6oU4xo6tmaI5gLX16VOIZvU6g0QGH+3b94SOHXfj4lKC7dvbAdoPnjMwkJMtmxFBQZG8euXPq1f+cbYpWVK75XgVChlnz77m+PEXjBtXk2nT6se7naGhguHDjxIREc3Chc2SPaC0ZctizJt3lSFDjvD+fRBTptSLNQ95/fqFOHbsBX36HNCqvPLlc3PwYOckBwsrFHJWrHDGysqEv/++zO+/HwXQKiwDiAZHQcjadA7KkiRhZKT+5FauXDnu3btHvXr1qF+/PhMnTtR7BYWE9e9fmSdPfFmw4Br9+x8CSLewDOrbpzHLaY8cWYPmzYvSt+8BLl3yYuhQd+7e/cjKlS0BsLU15/ffq8dbTkBAOKamhon+wW3TpkSs/0v/v3JjcsnlMq5f76cJMPfuDeT69XcoFDKCg6P48iWMz5/D8PUNxdc39upj+fJlo2fPCpiaGuDrG6rZ7uu/ofj4hPLs2WecnDZw9mxPrcLylClO/PvvY54/92Py5DPMnp343LmTJp3m+XM/7OwsmDJF+1XbfiTTpl0AoH37UkgS7N79iGnTzmsCaWr59CmEBg028uDBJ+zsLDh8uEuCrcm5c5tjYCAnNDRK5+OULp2LT5/G8PLlFzw8/DQPP78wypXLTYUKdjRu7KhVWTlzmrFvX0fmzLkSa6XN7z165MOiRdeQJPWqnA0aFNa53gCzZzdCLpcxZ84Vpk27wMOHPmzc6IKFhfrvzc6d7Rk16hjXr3sTGamM9YiIiNZ8HdM14+7dj9Srt4EzZ3omGZZlMhmzZjXE0FDOjBkXtQrLERHRuLqeZfbsS0gSFChgyYYNbahbt2Cyzl8QhIxJ56BcrVo1/v77bypWrEiZMmVYvXo1LVq04MiRI0RERKRGHYUEyGQyze319AzL1tamlCuXO86qWiVK2HD+fG+WLr3B//53mn79KiVZVp0667hwwZMzZ3pq1YoK6kGE3brt4c8/6/Hzz8mfPu7bVj5DQwXjxp0kICCC8CRuvT175se0aedZtaolI0bUiHcbb+8g6tXboFNYzpnTjBUrnGndejtz5lymTZsSCZ7f5ctezJ17BYCVK53JkSPp1Qx/NI8e+bBr10MA/ve/OkiSxO7dj9i58yGurnUpWVI/dye+921IVk852CvRaRZr1LDn6tVfk323xMTEgFKlbPVyt6VRI0caNiyc6IfQUqVsOXy4C3fvfkx2SAZ1y+7ffzemTJlc9O9/iL17n1Cz5lr27+9EwYJWZM9uzKpVrZIsR6lU4ekZQMOGm3jx4otOYTmm1TypsHz//ke6ddvLvXvqwci9elVg4cKmmoYCQRCyDp07ls2ZM4fw8HD27t1LmzZt8PDwoHjx4uzZs4cuXbqkRh2FRMSE5eHD1b/M+/c/xKpVt5LYS78aN3bk7t2BrF4d94+YXC5j6NBqeHqOiNU/18VlBzt3Powzgj1muWoPDz+tjz916jlOnXqlt0FskZFKGjXaxMePIYSHRyOTQb582ahZ054uXcoyYUItVqxw5ujRrty+3Z+mTYsQFhZNzpxmCZaZN282zpzpSbFiOfH0DMDJaQOvXiW9wlerVsXp0aM8kgS9eu2Lt5UxNDSKXr32IUnQs2f5eOehTYpSqcoQg0JT0/TpF5AkcHEpQblyuSlf3o42bUogSerXUoM2IVmSJKZNO8/t2+81z5UtmzvDLJX8bUjeufMhEyacjDPAqVmzoowfX0svx+vZswJnz/Ykd25z7t37SNWqq7hwIelV9GIoFHIKFbLmzJmeFC5srQnLXl4BSe4bE5b/+EN9Lr//fpRFi65pXlcqVcyZc5kqVVZx795HbGzM2LOnA+vWtRYhWRCyquTMPxcWFia9e/dOkiRJev78uTR79mxpx44dKZ5LM7NLz/lfVSqVNHy4u2au0ZUrb+q1/Pfvg6QPH4L0UtbDh5809Xz3LjDWa2/e+Os8T2pQUIQ0YMBB6f79j3qpnyRJ0rNnvtKpUy8lD4/PSc5NrFSqpLNnX8V6LiwsKt5t370LlIoVWyyBm+TgMF96+dIvybr4+YVKefPOlcBNGjHiaJzXY77vefPOlb58CUuyvO95eHyWihZdJDk6LpQePNDfe/i99Jz/9ckTH82c1rdvf50X9dYtb83c1k+f+urteJIkSR8/BktlyiyVwE3Kk2dOvOUrlSppyJDDErhJtraz9TJHcHxUKlWKfz8/f/5ZUijU7+Hu3Q+lqVPPpVp9JUmSPD39pUqVVkjgJhka/imtWXNb5zLevPGXChdeKIGb5Oi4UPL09NdqP5VKJf3xx0nN76mFC69Kr159kerUWad5rmXLrXr7naiLzDqPckRwhOSGm+SGmxQRHJHi4+i7vITKfnPxjV7LFjKGVJ1HGeDDhw+alfns7e2xt7enefPmYjnPdJSaLcuhoVGULr2USpVW6mU6rRw5TOnbtyKjRtWI00/TwcFS06qsLQsLI5Yvd9ZqQJak5cibokVzUr9+IRwdcyQ5OEkul8Xql/jq1RccHRexdu1/cY6XnJZla2tTVq1S9+1esOBqrNa18+ffsHChusVr9eqWWFnpthrlixd+1Ku3gefP/Xjx4gu1aq3j3LnXOpWRGcyYcRGVSqJly2JUrJhH83ylSnlwdi6GSiUxY4b+WpW1aUmOilLSo8deliy5gUym7pOu68++Nh498qF06aWaVSKTq0iRHMyZ05j+/Stx//4nJk06Q5066/Uyr3F87O0tuXChNx06lCYqSpWs4zg4WOqtZbl06aWcP/8GCwsjVq1qyf79ncSqfILwA9A5KF+4cIFy5coxf/58AMLDw+nSpQulS5fm4cOHeq+goL3vw/KQIUfw9Q1NcblXr77Fzy8Mb+8gHj70ifP6sWMeFCu2mM6d/9WqPDs7C1atasWcOY1TXLf4JDTjQ3h4NDVqrKF8+eU8f/45VY4NsGTJDby9g1i16na8c74mJyw3b16UPn0qIEnQu/d+QkIiCQmJpHfv/UiSeq5dXaekignJXl6BlChhQ82a9vj7h9O48WZ27sw617KHhx9btqhnupg0Ke7yzzHPbd58jxcvtO/ykxBtQnJYWBS//LKTLVvuY2AgZ8uWtgwaFP90iCkRGBhBnTrryJ7dONHpBbU1fHh1li93pnXr4hQsaMXYsT8nOoNHSpmZGbJ9+y+4u3elf/+vYy8WLrzKoUPPtBrwqK+wHBoaRc2a9ty9O5C+fSuJhiEdyRVySrUrRal2pfSyLLS+y/u+7EINCgEgk4vv8w9P1+bqmjVrShUrVpRevHihee78+fOSo6Oj1LBhQ12Ly1IyytK7KpVKKltWfct348Y7KS4vZjlccJPWro17+3P37ocSuEm1aq1N8bEkSZIWLboq9ey5V/Ly0u19jIpSStOmnZPy5JkjeXsHxnn9n3+uac4jV66/Y92C1yelUiXNnn1Rev36S6Lb6doNw98/TLK3nyeBmzR06GHNLXt7+3lSQEC4TnX08PisKatEiX+k9++DpNDQSKlt2x0SuEkymZs0f/4VncpMSnrdMu7TZ58EblKzZpsT3KZp080SuEm//ro/RcfSprtFQEC4VLeu+ha+ick06dChpyk6ZlJWrLgp1a69VvLxCZEkSb0Mc0JLx+siJCQyxWUkR1BQhKYLyLe/I+7e/SA9eeKTYBeTlHTDWL/+P2nVqltSdLRSL+eQEpm160Vmk1XOQ4hfqna9uHPnDoMGDaJw4a+jm2vXrs3IkSO5fj1ly5gK+iGTyTTTpx048CzF5Z0///VW/507H+K8XrduQS5c6M2SJc1TfCyAVatus2HD3XiPlRiFQsaRIx68fx/M6tWxbzNHRETz11/qZX0tLY359CkEJ6cNsc5NF5IkJbhkrVwuY8yYmhQoYKV5bvLkM2zYcCfWdrq2LFtamrBmjXrA5D//3GDJkhsArF2r20Ci71uSz5zpiZ2dBaamhuzc2Y6hQ6siSTBixDFGjz6eqQf5vXr1hY0bE25NjjF5svq1DRvu8vq1f7KOpU1Lsq9vKPXrb+DcuTdkz27MsWPdaNGiWLKOl5DoaBX+/l9/Nvv3r8yZMz2xsVEPNh09+jgtWmzljz9Opeg4ZmaGKdo/uYKDI+nVqwL16xcif/7smuf/+OMUJUosIVeuObRuvZ2tW+/H2i8lLcs9e1agb99KGWaApSAIaUfnq97Kyoo7d+7Eef7BgweYmSU86l9IWy1aqG/DHz3qkWjQUamkRF+PjlZx5cpbzf+/X0kPwMbGjFq1HDTLUqdU376VmDLFiaJFc+i0n0wmY+7cxmzd2paJE2OHou3bH2iWxjUwkFO6tC2BgRE0abKZDx+Cda7j778fpVMn7bqaXLrkydSp5+nVa79mWe4Y34fl5s23Jvr9aNTIkQEDvt6CHjiwMg0baj8ll1KpolmzLXFCcgyFQs6iRc2YNashAHPnXuGvvy5qXX5Gs3DhNaKjVdSq5UCNGglPHVijhj01a9oTHa1i4cKrCW6XkIcPP1GnzrpEQ/Lr1/7UqrWWW7feY2NjxpkzPalTp4DOx0qMSiXRteseWrTYGmtaw5iAJ0kSOXKYIpNBxYp2ej12WrGzs2D16lacOtUj1vMGBnJMTNRzmR848JSuXfewYsXNWNt8H5ZbtEj8ehMEQdA5KA8ZMoRly5bRrVs3Nm/ezMaNG+nRowfLly+nf//+qVFHIRkOH1YHshw5TGOtbvWtqCglFSuuoHjxfwgOjox3G5mMWK02xYvH/uP/+LGPJoDqy2+//cTkyXUpXly7FcS+Vb16fjp3LhvnnI2N1VOGy2TqFt/Hj30B9RK2SqVug4Tevw9i6dIbHD3qwadPIYB6kZSE+kvWqGFP69bqKduOHvWI83revNk4fVr9R//JE1/8/OKuVvitv/9uRPnyuSlfPneSi5Akl5RFlhvLlk29WMXVq281q+LFZ8+ex1y79g5As8CFti5f9qJGjTU8ffqZfPmyxRuS9+9/QsWKK3j69DO5c5tz4UJvKlXKk0CJyffkiS+HDz/j5k1v7t6Ne0dGJpMxaVJdHj4cTPv2pfV+/PS0b18nAgLGc+XKr/Tvr56zffToE3h6xm41jgnLMpn6g7+PT0h6VPeHExkSyRTZFKbIphAZEv/fm/Qs7/uyV1ZeCUBUmO4L/whZi85BecKECUyYMIH9+/fTo0cPevXqxc6dO/n999+ZPHlyatRR0NGOHQ80I/jnzUt4wNzJky+5d+8jHz4EJxgOFAo558/3Yv361hw61DlWMPP2DqJJk81Ur76ax4/jDvLTVUhIpF5m1YgRGalk9erbSJJEx46l6dy5DJKkDsoqlfq5Bw8GkS9f9qQL+0auXOYcPtyFiRNrkyuXOf36HcDG5m/2738S7/ZyuYxmzdQDqV68iL9rxbezfyQV3LNlM+bOnYHcuTOQbNl0m7tVoZDj7t4Ve/vsPHniS716G2K1qCuVKn77zZ3x49W35UePrqG3+XHTg5ubE126lCU6WkXHjrvjDct79jymY8fdREer6NKlLG5uTlqXf/myF02bbiYoKJI6dQpw+/aAWCFZpZIYOfIYbdrswN8/nJ9+yse1a30pUUL3D4HaKFXKlitXfmXTJhd++il/gtt9u7hKVvlQBOoPvtWr52fZMmdq1XIgODiSQYMOxzlHBwdLzYwV3t5B6VFVQRAyiWR1uPr555+5dOkS9+7dY9q0aZQqVYqoqChUqtSZJkjQ3o4dD+jadQ9KpUSfPhVo27Zkgttu2/YAgO7dy2mee/8+iLDvPkHnyaNeorlFi2KaYBYYGEHz5upb+BYWRuTKZZ6iekuSxIABh/j557V6mZFCpZJo1GgT/fodZO7cK8hkMlataom7e1e8vEZw8WJvtm9vl+RqXfFRKOQ0aVJEs4pXjhymREeruHXrfYL7ODqqu5EkNKuCTCbTzB6QWtNtfVsX9UplscNyWFgU7dvv4p9/1NOVLVjQhL//bpzgHYnMQKGQs3FjmwTD8vcheePGNlr3Q/02JNerVxB3965xrgO5XKbpyz5qVA3On+8dq+96aihbNjcdOmjXWnz5shd16qznzJlXyT6ePhb50VZYWJRWH6blcvX1bmSk4MiR55rfdd+K+XAqgrIgCInROSgvXryYVq1a8eTJEzw8PJg0aRLBwcGsXr2a8ePHp0YdBS19G5J79arAypUtE5zCKCwsir171S2gXbuW1Tzn7LyNmjXXJjqgKSpKSbt2O7l79yO5c5vj7t410VXptOHtHcTRox7cvfuBjx91uxX65WXcVlq5XEanTqWxsjKhZEl16525uRFNmxbB0FBBzZoOKarvt4YN+4kXL35LdLq7mOW9X73yT7DFWKFQf6/im1JO3+ILy40abWLv3icYkc6ntgAAkQNJREFUGSnYsaMdv/9ePdXrkRYSCsv6DMmHDnWJNbjt2w87ixc359ixbsyZ0zjJObmTw98/HBeXHTqtZhlj69b7XLzoiZvbOa22f/78M5cve2n+L0kSefPOpWTJJbG6OOjanUkb3t5BlCixhAoVVmhVfokSNpoBnL//fjTOVJkiKAuCoA2dg/LChQtp2bIlLVu2ZNeuXZQuXZqnT58yduxYdu7cmRp1FLTwfUhevbplon/0jxx5TnBwJA4OlppBTh4efnh6BuDlFZhgK6IkSfTrd5ATJ15ibm7I4cNdKFTIOsX1z5cvO3fuDGTjRhdq1dIuxEqSxOW5l1lcbDFPvun2EHObdeDAKjx5MkSvswpMnnyGf/65HmtWgfz5s1O4cOLvgb29JQYGciIjlbx7F/8f5rRqUY7xfVi+dMkLKysTjh/vluX6r8YXllMjJEdGKhkx4iitWm3TDBIzMzOkcWPHVDu3kSOPsW/fE9q126lzN4rJk+sycGBltm5tm+S2J0++pGzZZXTp8i8h/98n1MsrkM+fw3jxwi/WoNA//zxHvnzzmD//im4nk4CoKCUdO+7G0zOAQYOqaP29Gju2JmXL5sLXN5QRI47Fei1fPhGUBUFIms5B+d27dzg7O2NqasqFCxdwdnZGJpNRoEAB/PxSPll/esjsffR0DcnwtdtFp06lNaG4bNnc3L7dn/37O+Hg8LVLwrfvj6vrWTZsuItCIWPnzvZUrpxXb+eRP392unQpq9W2KqWKo8OPcmL0CSSlhNdlL1RKFacnnWZ/7/1IkoRMJou1clZAQHiCi5Fow88vjNmzLzFsmLvOrXcGBnIKFrQC4GU8LeDwdWaCtArK8DUsFy2aA0dHay5e7B1rlcGs5PuwnBotyS9ffmHFilu4u3ukqDuDLqZPr0/9+oVYs6aVzotg5MplzrJlzlr1069RIz+5c1tQvLgNQUHqoOzgYMn796M4dapHrNbyO3c+4u0dpLfp1P744xQXL3qSLZuRpr+/NoyMFKxe3Qq5XMbmzfdiDaYVLcqCIGjDQNcdHB0dOX78OBEREbx7944GDRrw6dMnNm7ciKNj6rWapKaYPy4qlQq5PHPNk5mckBwYGMGhQ+r5lTt3jh1M7e0tY/Xb3b//CStX3mbTJhf27HnM1KnnAVi+3JnmzXVbCS4+06adp2nTIlSpon3gjgqLYk/XPTz5/64jjec2pvqI6ny484GLMy8iKSUcajlQqW8lzT53737gl1920rJlMebPb5qsuhoZKZgzpzGXL3tRuXLsGQvevPFn9uxL+PmFs23bL/Hu7+hojYeHHy9e+OHkVDDO6zEtyqlx2zoxjo45ePx4CDKZLFP3R9ZGTFguVkzdZ/x//6ujt5AM6tv9K1e2JHt2Yxo00H7aPm1FRirZtu0+Bw8+Y+vWXzAyUpAnTzZOnuyul5XiwsOjMTFR/1nw8Qlh165HDB6sXjHQ3NyIq1d/xc7OItax7OwsYrUmA2zZ0pa7dz/opT/23r2PmTNH3TK9fn0bihZVD5aM+TCclGrV8vH77z8xf/5VBg48xLNnwzAyUnwTlHWfHlIQhB+HzkF59OjR9OnTh927d1OlShXq1atHx44duXjxIlu3bk2NOqaaf//9lxcvXpAtWzYaNWpEkSIpX+I1LSUnJIM6/EZEKClePCflyyc893F4eDQDBx7mw4dgypdfzvv36paXSZPq0PebEJpc+/c/YdKkM0ybdh4Pj99iTUOXkFDfULa12sbbK29RGClw2eRC6f8fuJSnYh7qT6/PqfGncB/mTt6qebErr54r9vVrf168+MLevU9wdXXCyspE5/paWBgxdGg1hg6tFuc1uVzG0qU3kctlLFnSnBw5TONsE9NPOaGZL2L6KKdli/LXY2euD4gpoVDIcXV10mmfxELy9u0PKFs2F6VL5wKgW7dyiRWls28DoUIhY9y4k3z8GMKJEy803YpSGpKDgiKYOPE0e/c+4fHjIahUEqVLL8XHJ5TCha01y1/nyZMtiZLULCyMYo0DePXqCydPvqRfv8qJ7BWXh4cfvXrtB2DkyOq0bVsSd/fnzJhxkWbNivDHH7W1Kmfq1Ho8fOjDH3/U0rR8xwTld+/0O72lED+5Qk7R/29c0dcS1vos7/uy7Wva43XJSyxhLegelHv16kXx4sXx9fWlQYMGyOVyunfvzqhRo6hePfMM/nFzc+Ovv/7C2toaf39/LCwsmDNnDp06dcLYWLcptwAiIiIIDFT/wg0MDMTY2DhZ5WgruSEZvna76Ny5TKJ/YE1MDHB378ovv+zUdBfo2bM8U6Y4pbT6ANSpU4C2bUtSrFgOrUJyuH84a2uu5fOzz5hYmdBpfycKfLdgQ80xNfE878nzI8/Z1X4X/W/2xzi7Ma1bl2D9+tY4OxfThOTPn0PJls1YLwOs7O0tcXOrS6VKeRJcsezrzBfxB+WvLcqZuytQfLS9PtL6OtJGYiF506a79Oy5D1tbc27d6q/Vz7G23rzxZ/Lks7x9G6hZXEOhkDNqVA3CwqIpW1Y/C/xAzLXuwdu3gezZ85gePcrTrVs5Tp9+ha1tygbqvnsXSJkyywgLi6Js2dxUr57wtHXfCguLol27nQQGRlCzpj1//aVeBOfjxxAuXvTExyeECRNqafUhwdzciGPHusV6LjN2vciI14e2DEwM6HK4S4Yt7/uymy1qxsrKKzEw1jkmCVmN/lfQzviePHkiOTg4SBMmTJDevXsn7dmzR2rVqpUkl8ulSZMmSZ8+fdK5TFdXVwnQPFxdXfVf8f939+4HSaGYIoGb1KvXPik6Wqn1vn5+oZKBwZ8SuElPnvhovU/fvvulQYMOSZGR0cmtdrxUKpXW9VepVNLhIYel+QXmS58eJfw9CvENkebZz5PccJMODTqU4Ha9eu2TrKz+krZtu5/ocU+deim1bbtDOnr0uU7v9ff27XssgZuUM+cs6dChp3Fez59/ngRuUpkyS6WxY49LixZdlf7995F07dpb6e3bgBQdO71pe32k5XWkDQ+Pz1K2bDMkcJPq1VsvhYREal47f/61JJO5SeAmDRhwUFIqVXo99qdPwZrr/NkzX72WHZ8TJ15IJ0++0Pw/NDRSiorSz89cjx57JSen9dLz55+13mfy5NMSuEly+RTp/v2PmueDgiKkv/66IL17F6hzPR4/9pFu3/bWfA3q719gYLjOZaUHXa6PgIAACZACAgLSroKSJHnf8pbccJO8b3mn6XH1LauchxA/Xa6PH/KjkqmpKV++fMHMzIy8efPi4uJCxYoVKVSoENOnT8fIyIg//vhDp/7KEyZMoG/fvtjb2+Pl5YWtrW3SO+mBkZFcp36lHz+GEB2twtLSWOuV7ywsjJg1q1G83QlSSiaTabocaLNt04VNqetaF3PbhOdtNs1hinUhawK9AlEmMHgvOlrF+fNv8PcPx97+ayvgo0c+bNlyj1atimsWbHj58gt79jzm2DEPrlz5Nd6WvNu331O2bC4MDeNvnfb1DaVo0ZzY2Jjh6xsaq/Vf+v9b63XqFGDr1vs8ePCJBw/iLhWuUMiws7Mgf/7s5MuXnbJlc9G6dXEqVLDTS//U1KTt9ZFe19H3lEoVV6++ZeLE0wQFRfLzz/Zx+iRv2XIfSYJffinJ0qUt9N6/29bWnIULm1Khgp3mbkRq+n4pdFPT+O+MxFBGKZHJZVrd9l62rAUmJgY6vUcx77VKJVG79jomTKjFsGHVsLAwYtw43RfBefLEl7p116NUqtizpyNDhx4B1AMaM0vf/IxyfQjCj+SH6ZgofTNzQ3R0NLlz5+bKlSu8ffsWgIIFC/K///2PQYMG4erqyp49e+LslxhjY2OyZ1cHruzZs6fq7bBy5XKzcaMLMhmsXHmb335z16Ge6iCnyyIBo0Ydp2rVVfGGt+TaufMhf/11McnZI8L8wjg54STK/6+vXCFPNCQDhH8JJzoiGgMTA+pOqhvvNgYGcp49G8rly31irWC2Z89jZsy4yMyZFzXPde9ejilTnHj+fFi8Ifns2dfUrLmWdu12xbsYwoMHnyhadDHt2+/i+fNhrFnTKtZ0Yf/732maNt3M4MFVOHmyO7NnN+T333/il19KUr16fvLnz45CIUOplHj3Lohr196xZ89jpkw5R6VKKylceBEjRhzl/Pk3aT4QUFvaXh9peR19Lzg4kr17H9O7937s7OZSq9Y6zp17g4GBnFWrWsbpUnPixEtA3R0ptYJWvXqFkMvTf5Dll1dfuP7Pdc3/n+x/wtJSS7m3+V6i+6lUEi9e+GFmZqjzOYwdW5MjR7pQtmwu/P3DGTfuJGZmM5gz53KyziFv3mwUKGBJnjzZ6NNnP/fvf8LOzoLTp3tgbq7bsuXpJT2vj5SKDIlkhvkMZpjP0NsS1vos7/uy19ZcC4glrIVk9FHOrD5+/IiBgQE5cuSgcOHCjB49mkGDBrFjxw6GDh2KsbExNjY2/P777zx58oRx48ZRvXp18ufXrj9dWuvSpSxRUUp6997PP//c0MzIkFTLYsyI9vDwaK1Gjfv7h3P48HNevvzCixd+lCmTSy/1X7ToGpcueVGsWE6KFIm/tUylVLG9zXY8L3gS7B1Mmw1ttCrbNIcpv17+lU8PPmH5zTR331Mo5Jo5pGNUrZqXTp3K4Oz8dUYPY2MDJk+OP3CDui+lJEmoVPG/n25uZ/H3D2f+/CZYWZnQp09FzWvR0SpWr/6PT59CGDCgMi4uJeOdLUGpVPHxYwhv3wby7l0gnp4BnD37hmPHPHj92p8FC66xYME1bG3NaNWqOC4uJWjYsDDGon9dory9gzh48CkHDjzj1KmXRER8/QBpZWVCixZFGTiwCqVKxW65e/nyCy9ffsHAQB7vDCb6cPz4C1q23EaePBbcvz9I5+XKU0qlVOFx1IObS2/y3P05SOBQywG7CnZ8fvYZPw8/zk4+S5mOZTAwif/nbMqUs8yde4XNm9vSpk0JnY4vk8lo1qwojRs7smXLfSZNOoOnZwAzZlzAxaWEzq3s2bMbs2xZC1xcduDlFYiDgyWnTvVI8PePoH9RofoNnfou71vR4UmvACn8GH6Iv6LTp09n7dq1BAUF4ejoyJw5c3B2dubBgwdMmDCB7Nmz061bN0xNTSlatCjt2rXjt99+49mzZxk2KAP07FmByEgl/fsfYt68qxgbGzB9ev1Ew2/u3Bb4+IzRtCwnxcrKhOvX+3Ls2Atat9btD11imjYtwv+1d95hTWRdGH8nJPTexIIi2BBR7IoVFbti772uXVfXrmDv7urae9e1997bJyIKooINBUREioDSk5zvD8xIIEAoEqL39zw8wGRyc2aSm3nn3FPKlzfji/4rwm+/H4LvBEPTQBP1p9TP1ficgEOxqrlPdmrVqhxatcpd9ZM2bcrjzp3BcHQspjAxcM+ezihVyhAdO1bM9JhQKMD9+0OwZ48vOnT48biXVyjKlTOFiUlauIuGhgAlShh8T0AqCQCYMKEeEhJScenSG5w4EYAzZ14hIiIB27c/wfbtT6Cvr4m2bctj+PAamZbVf2eICFu2eGPbtid49Oij3GNlyxrDza0iOnasiIYNS2cZSnPlylsAQL16pX6agHV2tkaJEgaoXNkCiYniQhPK8RHxeLL9Cbw3eyMmXYdOu5Z2oO9NVOqMrYOHax8iNjgWXhu8UP/PzPMzMTEVBw8+Q3x8qlyDntyioSHAgAHV0KOHA3x9P6FiRXOlq9bcuvUeT558wsSJ9eDvH4GOHQ/h48evKF/eFFevDpCrF89gMBiK+OWF8oEDBzB37lxMmDABYrEYt27dQuvWrTF58mR06tQJX79+xejRoxEZGYmePXvC1tYW5cuXh4GBARITE1Vtfo4MH14TKSkSjB17AUuW3IWWlka2pa8EAg7m5jlnsUskUj6O1sxMF61bl0Pv3sfg7f0RL16M4Ss05JXZsxtn+7g4SYwbc24AABrPboxiSmT4x3+Ox8P1D+E8xRlahex9q127pNz/6b31uroi/PNPa357TEwSL4CBtGoY8+a58P+HhsahbdsD0NMT4fDh7qhTR37s9OjqitC5sz06d7ZHaqoEt24F4cQJf5w8+RIfP37F4cPPcfjwc2zb1gFDh+a/pJ+6Q0SYNes6H1rDcUDduqXQsWMFdOxYEZUrWygV7y0Lu3B1/Xk3IPr6mrh/f0imusU/E9+9vjgz7Awf6qRtog2nwU6o9UctmH2vXwwAIh0Rms5ritNDT+POojuoPqQ6tDOIVx0dEV6+HItnzz4XSIUObW2hXJhUTly+/BZuboeQlCSGWCzFsmX3EBmZgCpVLHHlSv9MtZ8ZDAZDEb98jLKfnx/KlSuHBQsWYO3atbh69So6deqE+fPn48SJExg6dCjGjRuHWbNmoXfv3hgwYADmz58PHR0dVKtWTdXmK8WYMXWwenVLAICHxy0sWXInX+N9+5aCevW2Y9u2x/w2IyMtXLjwGq9fR8Pb+2M2zy4YvDZ4ITY4FgYlDVBnXOa6xYq4MfcGbs+/jWO9jv1k6wB//wg0bboLnp4fMj1GRBg79jzmz78lFzt+504QKlfegAEDTmY7dkxMEgwNtRAUFIuGDXdgzZoHSsWgi0QaaNHCFuvXt0NIyCQ8eDCUr+k7bNgZbN/+OIcRfm0yimQPjyb4+HEy/ve/oZgxoxEcHCyVEqQSiRTXr6d13fuZQhlIq1uc3iZlcxHySuWulWHlZIUStUvAbacb/gz9E61WtZITyTKqDagGi8oWSIxOxL3l9xSOx3FcgZaxU5YzZ16iQ4eDSEoSw9nZGgsW3EJkZAJq1iyOmzcHMpHMYDCU5pcXyoaGhnj79i1CQkIAABYWFti7dy+GDx+ODRs24M6dO1i0aBH2798PHR0deHt7QygU4sKFC0U67CIjkybVx9KlzQEAM2dex+rV/8ty3/HjL2DIkFOIikrI9JhUShgw4AQePfqI2bOv80umGhoCNGtWFgBw9WrgTziCHyTFJuHOojSx7zLfBaIcsu8BINwvHI+3pgnBBtMb5Ov1I/wjkBSb/VLxnDk3cOtWkFzSn4xVq/6HDRsewcPjptzSfrFi+ggIiMS5c6+ybGMNAA4Olnj8eAS6drVHaqoUEydeQteuh3O1fC0QcKhbtxT27OmEcd9vNH5nsZxRJK9Z0xru7k3zJJgePw7Dly9JMDLSyrSS8LNISZHAw+Mmxo+/UOBjx32I4wW4SFeEQbcGYfjD4XAa5JTt3BMIBWi+JO0758E/DxCXrnFHSorkp4v6rNi//yk6d/4PKSkSNG5cGj4+YYiLS0HDhqVx7doAmJnlry40g8H4vfhlhbLsS7pevXowNjbGqlWrEB4ezj++efNm9OrVC8uWLUNgYCB69+6NEydOwNfXF6dOnYKjo2NWQxdZpk1ryDcDmTz5Mtavf6hwv127fLBzp49C4TV//i2cOBEATU0NnDjRUy4WUOY9u3r1Xb5t3bjRC8bGSzF06KlMj91bfg+J0YmwqGyBagNy9upLUiW4OOEiSEqo3K0yyjQqk+NzFPHt0zec/eMsNjpuxL1lij1kMtasaY3Bg52wfLmr3PYjR57jr7+uAABWr24lJ6QqVDBDq1Z2IEKW740MIyNtHDnSHf/+2wYikQAnTgSgRo3NmWJqc4LjOKxZ0/q3FsuKRPL48XXzPJ4s7MLFpWy+Q5CU5dGjj5g37xbWrfOCj8+nAhv33Y132Oi4ETc9bvLbskrMU0SFDhVg3cAa4kQxnv/3nN++ePEd2Nuvx6FDzwrMVmVYu9YT/fqdgERCcHGxgadnKBISxHB1tcXFi31hZJT7jpwMBuP35pcTyp6enoiOjuaXK11cXNC1a1fs2LEDu3btQnT0j3JkS5YsgampKWbMmAEgzfssFAqhr6++y3Jz5jTGzJlpNUYnTLiI9+mScWTMnt0YS5Y0z5QQc/ToC8ybdwsAsHlze74iRHx8Ctq1O4CTJ18CSOtUFp/PcjwcxyE2NhnR0ZnFutMgJzj0cEDzJc0hyEGIpMSn4JDbIby/8R4aWhposbxFrm1JiU/Brfm3sLbcWnhv9gZJCDHvY/ibrfjP8ZmeU7KkIXbscEOFCj+WpO/fD0H//icAAOPG1cGECWliLDExFb17H8PAgScxZkxtAMCOHT45nkOO4zB2bB3cvz8UZcsa4927GDg7b8e//3rmylv3O4vlghbJQOHEJ2fE2dkas2c3wqFDXbNtO58bfHb5YF/LfUiKScK7q+/4uOTcIKtt3u9yP7mEvpMnA/DyZVShtWMnIri738CECRcBAG3alMOdO0FITpagY8eKOH26t9qUgPtV4QQcyjQpgzJNyhRIW+iCHi/j2MVrFk/7u4jXqGcUAgXY6ESlSCQSOnPmDHEcR0uXLqWoKPkOUG5ubqStrU0LFy6kDx8+EBFRcnIytWzZkho1alQgNqiqE1JGpFIpNWu2mwAPmjHjqlLP+fTpK+nqLiLAg8qVW0teXqEklaZ1Ghs79hzfwcrQcAkBHnT58pt82RgZGU8BAREUGRmfr3EOuh0kD3iQBzzopYJud9khlUrJd58vrSqxih9ja52t9P72e/5xz3WetEh3EUXk0MUwPj6FLCyWE+BB5ubL5TqJTZhwgT9/ly69JiOjtHO4c+cTpW398iWROnc+xI+zevX9XB2r7HjGjz/Pj3HvXnCux8gPys6PgpxHu3f78Me7Zs2DfI+XmJhKItF8EonmF0q3vJ+BVCql63Ou85/5Iz2PUGpiaoG+RmxsEu3e7VNoHe/+/deTf5+HDz/Nd0zs3ftogXcTVTWqmEe54VfpaPerHAdDMb9lZz6BQIAaNWpAKBRix44dEAgEGD58OIyNjQGkVb/o378/5syZA19fX4wfPx4ikQjx8fEwNjZGSkoKRCLRL3H3yHEc2rcvj+vX32UbC5sRPT0REhJS8eZNNGrX3gobG2N062aP2Nhkfp+4uGRoaChXOSM7zMx0M8UKxgTFwLiMca7GEX6vE9xpdydUaFcBAPD8yHOEPQ5DyTolUbJOSRiWNFT43Fvzb+GWR5oH3bisMZovaQ6HHg5ynwG/fX5ITUhF4JVAmFc0h59fODZs8IKJiQ4WL24uN56sk1lkZAIcHTeiZs3iGDCgmpz3d8KES/z5zE2nQyKCikI+GengOGDv3s5o06Y8DAwK30OZlCTma6HnBXGyGGeGneEbhTSc0RDNFjYrMI/c149f8SXwC0o3LI0BSoRNFRTR0WkViurUKYkuXeyx9Xu+wvz5LlmW+GMwGAxl+GWEMgA8f/4cYrEYgYGBWLZsGTiOw7Bhw2BsbAxdXV0cO3YMkydPxokTJ9C4cWNYWFhAKpXi5s2b0NT8tZblUlPTljwzXlRv3w5CdHQiXF1t5ZYiixXTx7t3E3DhwhscOfICZ8++wvv3MVi5Uj4pUCDgcOBAV1SvXjxPdgUGfsG2bY+xcGEzuU5dUa+isKXmFlTuVhltN7RVKoEPALoe7Ip6f9ZDqXRlo14ceYEXR17w/xuUNOBFc8m6JVG6YWloiDRQfUh1eK33Qr2J9VD/z/qZYjM5jkPZFmXx4cEHfPoeFxoVlYhNm7xRtqyxnFDW1U0rhXXmzEvs2fMUFy++gbd3GLy9w6ChwUEoFEAsliIgIBJmZjrYvbsT2n0X9jkhlRJcXHbD1zccmpoaWLWqJR/CoSxEhIkTL2Lt2rTY6G3bOsDZ2TqHZ6k//ftXRUBAJJYsucsvy+cn9EJLS4iePasUlHm54vXrKNSpsw3Dh9fA0qUtct3pjohwsMNBBF4JBKfBof3m9qhRgCUDP3p/xJ7meyDUEmKM/xjomOogODgWxsbaMDT8ueUa+/evCnf3m3j4MBR2diZwcLDA8+cRaN58D27cGAhbW5Of+voMBuPX5ZcRyhKJBFu2bEHp0qUxY8YMbNq0CQsWLAAAXiwDwKpVqzB48GD4+/tDKpWifv36KF26tAot/znIWilnbCyycuV9nDnzCvPnN8WcDO2d9fQ00a1bZXTrVhkJCam4cOE1jh71x5kzLxEfnwpHR0tMn94QPXo45MmmpCQxmjffg/fvY+TqPYuTxDja8yhSvqUg5n0MNBQ07cgKTsDJiWQAcOjhAG1jbYQ+DMVnv8/4GvoVAScCEHAiAAKRADPiZgAiwMjaCBODJmYryq2crACAF8pOTlaYNq0BnJysMnU21NYWont3B3Tv7oCIiHgcOvQMe/c+hZfXRwBp7uCGDUvj4MGuKFVKsZdbEQIBh5kzG2H69Ks4fLg7atUqofRzAcUi+XepqcxxHBYtagYABSaWVcW+fU8RE5MEf//ITCI51CsU0lQpOA0OAg2B3G+RjggmtibgOA5V+1VFqGcouh/pDrt0bdQLAssqljAsaYiIFxG49OclJLayw4gRZ9GnTxVs3twBQFonykOHnkFXV4SOHSvyyZBRUQnQ19fMcyfJsmVN0KKFLa5eDcTevU9x5Up/NG26G69eRcHFZTcTy0WAlPgUrLFZAwCY8H4CNPMZM17Q42Uce0/zPQBYC2vGLySUxWIxateujb/++gs1atRA7dq1MWzYMCxcuBCAvFiuUqUKqlRRjVeosEhKkgnlH29xfHwKn4ikqEtcenR1RejatTK6dq2MxMRUvHgRgWrVrPKV5a+tLcSCBS5YuvQuRoyoyW+/POUyPvl8gq65Lrrs7wKBRv5yTCt3q4zK3SoDSPvCC3schlDPUIQ+DIUkRSLnOc7Jcy0Typ+ffYYkVQJjY20sXZpzwqCFhR7GjauLcePqIiAgEo8fh6FKFUtUrmyh1DmMjU1CYOAX3nPfo4cDOnasmOtl999ZJMv4GWJ51ar72L3bF7t2dUKNGnlbXckt7u5NUadOSYUl7Y50O4LY4FiFz7OobIHRz0cDSKt9XK5NOehZ6BW4fUItITpu74jtztvhu9sXjpUt8O1bCooX/9F989u3FD7hNTl5Nr992bJ72L3bF/v3d8lzF8nhw2vg6tVAHDvmj3nzmuLmzYFMLBcxEiIzlyQtSuOlJykf3SQZvxa/hFCWSCTQ0tLClClTwHEcOI6Dk5MTtmzZghEjRmQSyxk9gb8iyclpGezpPcpXrgQiKUmMMmWMUDUX7Z11dESoWTN3Xsys6NevKnr0cOBbPfsf94fXei8AQOe9nWFQIuuW1nlBU08TZRqVyXPJOJOyJtA00ETK1xREvYyCZRXLXI9RqZI5KlUyV3r/N2+i0arVPsTHp8DH5w9eGOVWJIeExMLd/SZ27vQB8HuKZBmKxPKXL4kYObJWnmop/+9/H+Dn9xlHjjwvNKEsEHBZhusY2xhDIBKAJASpWAqpRJr2t0QKbRP56jY/QyTLKFWvFOqOrwvPNZ4I3uCFQ3s6wSJdjoBUSnB1tUViohgi0Y8bxri4ZHz+HI8HDz7kWSi7uVXEnj2d0LVrZXAch+LFDZhYZuSbyIDIHB0quua6MGLt0H9Z1FIoh4SEQEtLCyKRCCYmJtDQ0IBUKoVA8OOLVyAQoGbNmrxYXrZsGRITEzF+/HgYGf36H2hZ6EV6cXXqVFp5Nze3ioV2o+DvH4G5c29i50436OunLY3JRPKXd19wakhaHWXnqc4o17pcodiUGzgBBysnKwTfCcYnn0+wrGIJiUSKV6+i8PVrSrbtpfNKyZIG0NMTQSKR4vPn+FwJOSLC9evvsG6dF06ffgmpNC3k43cWyTIyimUPj1vw8LiFunVLomPHiujYsSIcHJRrYT1+fF20a1cebm6VfrbZkEikEAg4Obve33yPNxffoPHsxtDU18SgW4N+uh3K0mxhM7w89RIx72NQ8dFHNOv/I6nP1FQHly/3z/Scv/9uBXt7c4wbl7/48f795RMImVhm5Jczw87kuI9IV4Qx/mOYWP5FUTuhvHDhQhw6dAgRERGoXbs2+vXrh169esmJZBkcx6FmzZrYunUrunfvju3bt2PMmDEqsLrw+eFRTnuLJRIpzp59BQCFcnGXvWbnzv/h5csomJvrYOPG9vxjRITjfY8jOTYZpeqVQrOFzQrFprxQql4piJPE0PjunT9xIgDdux9BrVol4OU1vMBfT0dHhFOnesHYWBsmJspVxoiNTcLu3b7YsMELL19G8dtdXGwwbVoDtGpV9G5CVIFMLJcpY4Tt25/Ay+sjPD1D4ekZilmzrqNsWWNeNDdqVDrLigmNG5dB48Z5W6XILfv2PcXy5ffh7t4EPXo4QJIqwfkx5xHxIgLggBZLcl87/Geiqa+J9lvaY1/LfXj470M49nZEqXrZdznV0RFhwoR6/P9SKWHYsNMYOrQ6GjTIfQ4JESE1VQpNTQ0mlhn5YvDdwdl6lCP8I3Ci3wkkRCYwofyLolZCec+ePVi0aBEGDx4MoVCIGzduoE+fPnj27Bnc3d0hEmX+MHMchxo1auDYsWMwNjaGqampCiwvfDKGXty/H4LIyAQYG2ujUaPCSV7U0BBgz57OmDbtKhZmEMIcx6GJexNcnHARXQ91hUYRLuHkmqH7npOTFXR1RTAw0CywMJ6QkFjcuxeCXr3SYufLllXuIu7nF471672wb99TxMenJZ3o62ti4MBqGD26NipXtsi3bb8aHMdh5MhaGDmyFj5+/IqzZ1/h9OmXuHo1EO/exWDNGk+sWeMJY2NttG1bHiNH1iw0UayIrVsf48WLCLx7l1bq0XOtJyJeREDXXBcNpuavXfvPws7VDtWHVoemgSYsHdPClVK+paSFgijRHW/DBi/s3OmDY8f8ERQ0MVNzpOw4cuQ53N1von//qpgxoxEA5llm5B0rJ6sCTRRkqB9qJZRfvHiBUqVKYe7cubCysoKPjw+2bduGJUuWICYmBv/++y+IKJN3meM4VK9eXUVWq4YfVS/S3mJZ2EW7duV/el3R9OKxTp2SuH59gEIxWa5VOYx+PjrfyXuFjZ2dCeLipkOjgOwWi6Xo3fsY7t0LgZdXKCpUMANRmleNiL7/lv9fLJbi/Pk3uH07iB+ncmULjBlTG/37V4WBwc8tx/WrUKKEAUaMqIkRI2ryya6nT7/E2bOvEBGRgAMH/PDff8/g7T0C1apZyT3369dkbN36GJ6eoTh0qOtPC2c6d64Ptm9/gsGDnRAXGsfX/m6xvAV0lFxxUAUdtnaQr0l+0A/nRp2DdX1r2LWyg10rO5SoWUJhDeeBA6vh3r0QtGxpmyuRDAAJCanw94+Ev3+k3HYmlhkMRl5QC6EsE15EhMjISISGhsLKygpOTk6YPn06jI2NsXjxYlhYWMDd3R1EhLFjx6JmzZoYMmSIqs1XCbKqFzHfM3fPnXsNAGja1Oanvm5sbBJatNiLw4e78V7R9BfLgJMBMCpjBKtqVuAEnFqIZCLC+5vvYdPUhk8W1dAoOFG0Zs0D3LsXAj09Edas8YREonxnEQ0NDp0722PMmNpo0qTML5+k+jPR09NEp06V0KlTJUgkUnh6hmLu3Bu4du0dpk69ikuX+sntz3EcZs68huRkCebObQwHh9wneiqDkZE2/vzeHvrM9KtI+ZaCErVLwGmg0095vYIi42cx3DccJCEE3w1G8N1g3JhzA2WblcWAawMyPdfAQAsHDnQBx3FITZVAKBQo/dnu3t0Bt24FYePGdpkeyyiW27U7gOfPR+e6JjUj93ACDiW+l7YsqBbWBTleYY3NUD/UQijLviD79euH1atXY9euXahRowY4jkOpUqUwYsQIhIeHY9GiRahVqxY0NDSwceNG1K9fHz169IC+fu6z2tWd+vVL4dSpl5g//xYqVDBDsWJ6CAiIxKxZ1+HsbP3TluTj41Px6NFH2NmtRULCrEyVGiJeROD00NNo4tEEdfORuFOYPDv0DMf7HEelzpXQ41iPAhejYnFacxgzM10Epyvx1bWrPTiO+57IBT6hS/Z/+fKmGDKkOkpm0XmQkXc0NARwdrbG2LF1cO3aO4SGxmXax9v7I5KTJRAIuJ/iwY+LS87UqEPWiTLSPxIfH31EyZ+QTPqzaLuuLepPro+3l97iyl9XkPItBclfk7PcXzbPFi++g8uXA/Hvv22UqjCiqyvCjh1uWT5evLgBLl/uBxubNQgIiMS3byk/vSEKI60U5/ACzOko6PEKa2yG+qEWQlmGo6MjZs2ahfnz56N06dL466+/AAClS5fGiBEjcPHiRZw5cwbz5s3DypUr0a5du99SJAPAX381wKtXUdixwwd9+x7Hhg1tERubDB+fT2jadBeuXx+IKnkodZYTxYvrw82tIuzsTJCYmJpJKJtVNENidCL89vmphVBOiU/B1alXAQDFaxbnL9537gRh/vzbKFPGCNu2dczXa4weXRurVz9AcHAsOneuhBMnAgAAVapYwsOjab7GZuQPX9+0RjMZyyNKJFK+HvOIETVQuoCTeMRiKZydt6NcOVNs2NAOJb6XTXRd7oqI5xF4d/0dAk4FqJVQBtLKLQp1hEj5lgKBSIAOWzpku39iYirWr/dCREQC3ryJVroUX3j4NxQrlvV3f/qupHp6ynUBZTAYvydFf907AxMmTED//v0xbdo0LF26FMnJaR6J2rVrw97eHs+fP4elpSX+/PNPVKyYfVONXxmBgMPWrR0xbFh1SKWE0aPPY+TIGqhe3QoREQno0OEgUlIkBf66HMfh5MleWLWqlcKKDebf6wlHBkSCSPkQA1Vxb/k9xH2Ig7GNMep/X/4G0oTM1auBuHnzfb5fw8BACx4eaV0S794Nxvz5TQEA8+bdgofHzXyN/fVrMr5m47VjZM+jR2EAgFq15AXatm2P4esbDmNjbSxYUPAVWx48+ICAgEjcuRMMHZ0fN5tCbSF6nuyJdpvaFelKMdlRsk5JFK9ZHC7zXfiGPlmhoyPCkycjsXChC7p3r5zj2O/fx+CPP87CymoVHBw2IDz8m8L94uNTAKQlOxdUrgGDwfg1USuPMgCYmJhgxYoVEAqFmDVrFgICAtC9e3eYmJggKioKNjY2SE5OhrZ27hJAfkUEAg6bN6cl1Gzd+hhjxlzAunVtcPDgM8yf78LXMy5MTMuZghNwSI5LxrdP32BQvGAbjBQkMUExuL/8PgDAdaWrXImg6tWLY/v2jgXmlR82rAb++ccTr15FITlZguXLW2Dq1KuYNy8tcSsvnuVHjz6iVat9AIBLl/rluvX1705qqgReXqEAIHfuvnxJxKxZ1wEA8+c3hbm5boG/dsOGpeHnNwpv337JdMOpZaCFWiNr8f8/++8ZHqx+gGLViqFYtWKwcrJCsarFoFVEEzot7C0w9H9DlY79LFnSELNmNc52n7dvo7FkyV3s3u3LhzJVq1YMlpaKm6skJKRViNHVZd7kwiI1IRXrK68HAIx5MQaifJ77gh6vsMZmqB9qJ5QBwNLSEqtXr4ajoyPmzJmD/fv3w8jICEKhEHv27GEiOR0CAYdNm9p/F83eGDPmPHbs6CiX1JeaKinwShhSKSEs7Gum+FmhlhAmtiaIfhONyIDIIi2Ur069CnGSGDZNbWDfxV7uMWNjbQwZUnCVVEQiDSxb1gKdO/+HFSvu49SpXvkSy48efYSr614+mdPVdS+uXOnPxLKSpKZK0Lv3MYSHx8PQUAtO6Tyf8+bdQlRUIipXtsAff9TKZpT8YW9vAXv7nHMJZO3ZQx+Gym03sTVBsWrF4LrcFablVF8WM/5zPPS+C9ecykFKpYT372NyrEjx6lUUFi26g/37n/JJsK6utpgzpzEaZdONU1ZKUY+V/So0iAixQbH830VtvMIam6F+qO2ak5GRESZOnAgfHx/s3r0ba9euxYMHD+Dg4KBq04ocAgGHDRvaYdSoWiAChgw5jV27fAAAz59/RunS/6BTp0MF9oXw6lUUDA2XwNFxo8Ix04dfFFWCbgfh+eHn4AQcWv3TqlCqSbi5VUT37pWRkiJBp06H4OhYDMuXpzWTyE0YRnqR7OxsDWdna8TEJMHVdS8ePfr4E4/g10Amko8d84empgYOHOgCne+rCS9eRGDduocAgDVrWhf4DeabN9H4+PFrrp5Td3xddD3UFQ1nNET5tuVhUDLt5vNL4BcEnAiAUEf1/pDwp+H4x+YfXJ9zHVKJNMf99+17iooV18Hd/YbCx1+8iEDfvsdhb78ee/b4QiIhtGlTDvfvD8Hly/2zFcnAj9ALFp/MYDByQvXfoPnEzs4OdnZ2qjajyCMQcFi/vi04Dtiw4RGGDDkFqZRw8+Z7fPr0DTo6Il4MEhH27n0KV1dbFM+Dx7dMGSMkJ0sgFqe1YM6YVGNWyQw4qxqhHPY4DBH+EUiOS5b7SYlLQXJcMtqsawPD715wswpmsGlmA6tqiuMow8O/4eHDUBgYaBVI2T2O47B/fxeIxVKcOBGATp0O4eTJ3HmWM4rkixf7AgBat96P+/dDmGc5BzKK5OPHe6BduwoA0ubFxIkXIZEQ3NwqokUL2wJ9bSLC4MGn4OPzCQcOdEGHDsrlWBjbGMPYxhhVelbhtyVEJiD8aTg+P/8Mg++JgFKxFFdnXEWdsXVgXMY4X7bGBMXg26dvsKpmBaF29pcRcbIYx/sdhzhRjHDfcKVCLu7cCYJYLM3k8fX3j4C7+00cPfoCsnvwjh0rYvbsRqhdW/nERuZRZjAYyqL2QpmhPBzHYd26thAIOKxb54WhQ09j69YO8PBoitTUH4l9L15EYODAk+C4tFjJ7t0ro0sXe6XLkGlpCREQMAZlyhhDKMy8aGHbwhbSVClsXQtWaChCKpaC0+D4mwCvDV54sv1Jlvs3ntsYhiUNUaZxGYzyGwXx98Ytijh2zB9jxpxHu3blC6w+tUikgf/+64aePY/ixIkAuLkdwqVL/ZQSy4pEsqxs2cWLfZlYzoHsRDIAnDnzCleuBEJTUwOrVrXM1djx8Sm8KJNKCdHRiZlim6OjEyEWSyGVklyoR1aEh3/Dy5dRCrsG6prromyzsijbrCy/7fJfl+H5jydenX6FwXcHQ89CcfxudkjFUtxZcge35t0CSQgamhooUasESjmXgrWzNSp1qpRp9eXGnBv47PcZuha6mZqQZMXWrR3Rs2cVuS6ib99Go06dbfj2Lc0b3KWLPWbPboTq1ZWrhJEe5lFmMBjKwoTybwbHcVi7tg0EAg5r1z7E8OFnsHRpcwwdWoPfJzY2GXXrloSnZyju3AnGnTvBGD/+Ilq3LodNm9qhjBLeKDu7rGMiy7Uqh3KtygEA3l5+i8QviRDpijL9aOpp8t6w3CBOFiPwaiD8j/vj5amX6Hu+L19Gq0rvKoh5FwNtY21oGWpB01ATWoZa/I9hupsBDU0NaGST8FitWjFUq1YMFSua5drG7Egvlt+/j0HVqsV4IZ6VWM5OJANplTWYWM6anERycrIYf/55CQAweXL9bD/fGQkOjkWzZrsxblwdmJnpYtas6yhXzhTXMjTaMDPTxb17Q/D8+WdYW2dfbs7LKxQuLruhp6eJt2/HQ18/TYTPm3cTnz/HY+TIWqhatZjcc5wnO8P/mD+iXkXhQLsDGHh9IDT1c+dRPT3sNHx3+wIAtIy0kBybjJD7IQi5H4IA2wDYd/4Ry//yzEskxybj/sq0hNgOWztAP5uSbRnJ6LF/8uQTUlMlqFzZAjt2dETduqVyZXt6ZB5llszHYDByggnl3xCO4/DPP63BcRzWrPHE9OnXMHfuTVy+3A9NmtjA2dkaDx4MQ3BwLI4de4GjR/1x/34ILl58g+rVN+Px45GwsTEuEFvuLLqDoHRtmNMj1BFiVsKsXI0nThJjfeX1iHkXw297eeYlL5Rtm9vCtnnBeLIbNCgNH58/CmSsjMjEcnx8Kt/C96+/GgD4IZYdHCzQvbsDvn5NRqtW+7IUyTIyiuVWrfbh/fsJrN01gDlzbmQpkgFg+/Yn+Pw5HjVqFMeMGQ2VHjcoKAZNm+7G+/cxWLnyfwgL+wqJhBAcHIvXr6NQvrz8TZZAwMHRsVgWo/3AyckKVlb6MDHRwadP31Due7Le7t2+ePcuBu3bV8gklA1LGaL/5f7Y0XAHPnp9xLnR59B5T2eljwUA6oyrg1dnX6H1P63h2NcRX95+4YWybjoPOUkJJ/qdQHJcWmlCpyFOqORWKduxpVLCvn1P0b17ZT4mPD2urrYgSlvxatZsD27cGIg6eawj/fZtNAAWesFgMHJGbZP5GPmD4zgsXtyc/z8lRZKpdXLp0kaYNKk+7t0bgpcvx6Jq1WL48iVJqaSy1FQJli+/ByenTYiNTcpyP6vqVrBpaoOSdUrCsoolTGxNoG+lz3t4c0tSbBIvkmuOrIkB1wegqXvTXI+THdHRiZg06SJevIgo0HEzIhJpQFdXxJe7AtLE8sCB1QCk1dplFA5GRlo4fbo3zpzprfSNRXqRXK6cKRYtcuHnmKfnsEw3mzExSXB3v8G3n8/Iq1dR/N8ikQZu3RqEhw+H8SKZiLB6dSuMH18HDRuWVjiGeSVzVPh+E5D63auaG0rULIGJQRNRtV9VcBwH03KmqDagGtpvai9X1znxSyJK1i0JTQNNWDpaovXfrXMce/bs6xg48CScnDYjMTGzbRERCXzt94SEVEileUs+3rXLB4sW3QEANG6s+DwxFBMbHIuwx2HZ/kT4K/5e5DgOFpUtYFHZokCSowt6vMIam6F+MI/yb0piYirc3A4BAHR0hNi/vwuapYtnzEiFCmbYurUD6tbdhr17n2LatAbZlq4SCgXYvdsXL15EYP9+P4weXVvhfq3/UXwBDbwWCKk45+z4jOhZ6kGkJ0JqfCrq/1kfZhUKNiwCACZMuIh9+54iICAKFy70LfDx03PwoB+mTr2KKVPq8x5lE5M0D7PW93bGBgZauHSpH1xd9+L+/RC0br1foVf569dk3ptsbKyNS5f6MW/ydxYscMGbN9E4dswfXboczuRV7tu3qtz+r19HwdbWJMtmFRlF8o0bA5H+elupkrlcxQwigovLbvj4fIJIpIHZs+XrBm/Y4IVx4y5g8+b2GDYsLUwqY84Ax3Ho1KkSGjYsjeRkCQwURC3FBsfC76AfAKD+lPqZd8gBcbIYL468QLUB1bJNytM100X/y/1BREoLjQ4dKmD79ieYO7cx71GWSKQYMuQ0Ro6sidq1S+D8+T6YMeMaFi5shnr1ch96sWuXD4YMOQUiYPToWhg/vuh3By0qxAbHYr39eqQm5HyDJdIVya0wyLaNfj66wOwp6PEKa2yG+sGE8m9IYmIqOnY8hKtXA6GnJ8KFC31zLKcEAHXqlISbW0WcOvUS7u43cfhw9yz35TgOHh5NEBeXjJ7psvGVsu9LIk4OOImvH7+i23/d4NBD+ZJ/HMfBxNYEn/0+I/ptdIEIZSKCVEq8KJo7tzFevIjAn3/Wy/fYOXH69Ct8/hyP5OQfyZayv9M3jKlVqwSuXOmfpVjOKJJZfLI8IpEGDh7syscpKxLLMp49+4zGjXeiRQtb7N3bmb9hkaFIJJcqlSZqidwVvj7HcZg2rQHmzbsFZ2frTI+Hh3+DVEp49OgjL5SzYu1aTyxZchdz5zbGnDlN5B57fuQ5pKlS2LjYwLp+5tfJDpISttXdhnDfcAhEAlTNcPOQ1XEpS/361nj9ehwM060kbdr0CHv2+OLUqQAEB09Cmzbl0aZN+VzZLSOjSF63ri3zFuaChMgEpCakovO+zrDIob63rrkujAq4rTuDoSqYUP7NyKtIlrFggQtOn36JI0de4MmTsGwzzrt3z1tN64vjL+Lrx68wq2CGCh0yC5WcMLUzxWe/z4j7EJen10/PixcRmDTpEpydS8H9ewhH+fJmePRoeKFcZA8d6orLl9+iWroSdbLl54ydFbMSywCYSFYCZcXy27fR+PYtBR8+xEEslkIrnVM+O5EsY/36h3j+PAKDBjnJxdj27OmALl3sFXbM9PBoiho1iqNjx5xLxr14EQGxWMqHZKSn/p/1UaJmiVwn8QEAJ+Dg0NMB4b7huD7zOip3rZxjabicCA2Ng0DA8WUoDTOEW/XtWxWPHoXB2blUpsdyAxPJBYeFvQWK18h9pREGQ11hMcq/EfkVyQDg6FgMvXqleYjnzFHcDCA/+B/3x9N9T8EJOHTa3UmubbSytNvYDjO+zkDN4TXzbc/z559x+fJb/POPJ19SCsidpyw/iEQaaNeugpzYykooAz/EsrGxNi+WmUhWHplY7trVHikpEnTpchgnTvjLNc5xc6uEq1cH4OzZPnLJYMqIZCBtlWDjxkcIyFBHnOM4/j2NikrAvHk3+ThcjuPg5pa59Joijh7tAX//MXBTkDzHcRxsmtqgRB4/A/Um1oNhKUPEBsfCc61nnsaQkZQkRufO/6FmzS3w9lbcCMfYWBs7d7pheD7mMhPJRYPUhFRscNiADQ4blArfKOzx8jt2hH9EjvHbscGxBWono3BgHuXfhIIQyTLmzWuKM2deoVIlc0gk0izjNIG0TPbTp19i925f7NnTKduY2PiIeJz94ywAoMG0BiiVhxhEANC3Ur4EVUa+fk1GcHAsHBwsAQDdulXG7NmNMGiQU6FnyEulBIGCOFBZ6IWWluLSdRk9ywCYSM4FijzLVasWw4gRNdC3b1UYG2tnql08c+Y1rFr1P6SkSLIVyWnjp82X9LXL00NEWLvWE/Pn30ZKigSLFjVXuF92VPre/VJGUmwSSELQMdXJ9VjpEemI0GxRM5wceBI35txAUmwSGs1olCcPdWRkAuLjU5GcLIFpBruePfsMB4f8J1IxkVx0ICJEfE+ALqgW1gU5Xl7H1jXXhUhXhBP9TuQ4rkhXhDH+Y1hYiprBhPJvQEGKZCAt9ODjxz+VSgTjOGD69Kt4+TIKhw49y9IzREQ498c5JEQkwNLREk3cmyjc72fyv/+FoGPHQzA314Wf3ygIhQJwHIcFC5rl/OQC5tmzz2jX7gAGDaqGefNc5B7LzqMsQyaWW7XaBwC4dKkfE8m5QCaW//zzErZte4KnT8MxduwF/PXXFfTo4YARI2qifv1S4DgO27Y9xpIldwEgR5EsGxsAUlMVJ6smJor5G9E+fRyVtlkqJRCRwhvX+yvvw/MfT7RY1gK1s0isVZaq/aoi4GQAAk4E4O7iu/Dd7YvBdwbDpKxJrsYpVcoQDx4MxevX0Sib7rkvXkSgZs0taNHCFocPd8vzDSoTyYzCwKi0Ecb4j0FCZEK2+0X4R+BEvxNIiExgQlnNYEL5F6egRPK1a4HQ0BDwjS+UrZbAcRz++ssZr19HZ9vyN/huMPyP+0MgFKDzns4QauX9o5kcl4wrU68gLiQOvc/2VvriWLmyBaTStMS9Dx/iCqxWdF7Yv/8pgoNj4esbnukxZYQykCaW37+fAED594vxA5FIA//+2xbz57tg376n2LLlMZ49+4zdu32xe7cvKle2wIgRNdC4cRk4OVmB44DTp3tnK5LTxs3eo6yrK4KX13AIBFyuhN21a4EYOPAk/vijFubO/XGjmRCZgIdrHyLlWwr0iuW+G19GOAGHHsd64OWpl7j05yXoWejlqiV2SoqE/+waGGihRrp4V7FYioEDTyIlRQKOy3tDkN27mUhmFB5GpY2Y+P2FYUL5F6agRPLx4/7o1u0wBAIOr1+Pk/P+PHjwAYcOPcPff7fK8kKUvutfVpRpVAbdDnfD149fYaVE+97sEOoI8XjbY5CE8C3sm8LuflIp4fDh53j06CNWrkxrR2xkpI1btwahUiVzha23CwuplLB/f1oJr379MlcWUFYoA0wgFwQmJjoYN64uxo6tA0/PUGzZ4o1Dh57hxYsITJx4CVpaGuja1R69elWBhkbOYiwnjzKAbMOZsuL4cX+EhX1DWNhXue3XZ19HclwyilUrJtc5Lz9wHIdKnSqhXOtyiP8cz5eKS/mWghtzb6Dh9IbQs8wsymVx3CtXuqJr18qZHl+27C4ePfoIY2NtbNmiXLvrjJw9+wpDhpxmIpnBYBQILJnvF2b8+Av5Fsl37gShX7/jIAIkEsL69V78YzExSWjefA/WrPHE2bOvlBovPj4FEoligVC5W2XUm5D/kmskJWh/72b3JfCLwn18fD6hd+9jWLXqf3KJRFWqWKpUJANpF/qQkDgYGmqhffvMVT+Sk9MaUigjlBkFB8dxqFevFHbscENY2GRs2NAWTk5WSE6W4MCBZ+jY8RBKlFiNoUNPZfkZB354lGU3PAXFmjVtcPp0L4wdW4ffFv0mGt5bvAEArde0zrb2cV4QagthVNoIklQJ3l1/hyUGS/Dg7wfYUGWDwqXokSPP4v37GCxZcjfTOXr37gvfnv3ff9ugRB7a10dExKNXr6OQSglDhjgxkcxgMPIN8ygzsuTOnSC0abMfiYk/OoWlDwUwNtbGpEn18PHjV7nyZVkRG5uENm32o2JFc2zf3lEuUY2IcHbkWZhVMEP9yfXzfHETJ4nxX5f/kBiVCKG2EGYVFddRrlGjOP76yxmGhlqo8BOakuSVoKAYDBlyCgAwZIgTtBWU35K1tA4Pjy9U2xg/MDLSxqhRtfHHH7Xg7R2Gbdse4/btIAQERGLHDh8kJUmwZ08nhZ5hq+/JpkFBMQVqk6amBjp0kC8fxwk4aIg0IEmR4NLES+iyvwvM7c0LTDy+vvAazw48w6uzr5AU86MDp4ZIA1DwEidO9MTp0y9Rr16pTOfm8uW3SE2VwtnZGn37Kh+bnZ5nzz4jPj4V1taG2LSpPRPJDAYj3zChnI7cdJFSB9aubYP372Nx9Wog2rTZnyuvskwkx8enwtXVFiNH1kS3bkcQFSXvJVqwwEXpc+bpGYqHD0MREBCJOXMaw9b2RwhH4NVAPN76GAAQ8SIC7Ta2y3WccmpiKv7r9B/eXn4LoY4Qfc72gZ5F2vKvRCLFsmX3MHZsHb4e6/Llrrka/2cTEhILN7dDiIpKRI0axeVajKenatViOHPmFZ4+zRy/zChcOI5DrVol+ETJ48f90bPnURw4kBY6o0gsO30PLXry5NNPsSkmJglHj77AsGE1YGJrgvab2+P67Ov45PMJGxw2QL+4Pmxb2KJs87KwbW4LwxxiqgFAKpEi+nU0wp6EoWKHinyVi4ATAXi67ymAtOz/Ch0roJJbJdi2sIVIQXyxjo4oywZEDx+GAgBcXGzy/D0saxFuYqIj1/mQoXo4joNRGSP+76I2XmGNzVA/mFAGsH79ejRt2hQODnlrkFFU0dER4fTpXnycsrJiOaNIPnWqFy/KoqIS5fbN+CWS3c1Gy5Z2OHiwK+zsTOVEMgDYtrBF6zWtcWnSJfjs9EH062j0ONZDYZyjIkhKvEgW6YnQ51wf2DSx4R8fP/4CNmx4hCtXAnH9+oAi9+V38eIb9Ot3HFFRiTAz08GxYz34Nr4ZqVq1GAAwoVwE6dLFHv/91y1bsVy9eppQfvo0HGKxtEBDfRITU1G//nYEBERCIOAwZEh1OA1ygrWzNc6POY/gu8H4FvYNT/c+xdO9aQLXvJI56k6oi1p/1AIASFIkiHjxvSbskzB8evwJn3w/ITU+rZ7soNuDUOb7d4hjX0doGWqhUqdKKFW/FAR5iK2W8fBhWghU+iYsuUX8ve29MrHijMJFpCvCxPcTi+x4hTU2Q/347WOUZ8yYgfHjx8PPz6/AazEWBWRiuUULW8THp6JNm/24cycoy/0ViWQdHRHMzHQBIJNHWcbLl5Ho1u0w/v33Ybb2dO/uIJflfu1aIO7eDQbHcag7vi76nO8DLSMtBN8NxtY6WxHul1kMJsUkIdQrFH4H/BD0/VhkXcO0DLXQ90JfOZEMAEOGVIe5uS7Gjq1dYCKZiDBt2hUMGXIKr19H5WkMsViK2bOvo23b/YiKSkT16lbw9ByWbcUNmVD28/uMiAgWfvGzEIulcHe/gTlzrvNx4cogE8tCoQAHDvhhwICTcvG45cubQU9PhMREMV6+jMxmpNyjoyNCr14OsLY25AU5AJhVMEP/K/0x7cs0DLg2AA1nNESJ2iXACThEBkQiJV0zHe8t3thcfTNODz0Nr3VeCLkfgtT4VAh1hChVrxSk4h/HYtPEBi1XtkTphqWzFcnnz79G8+Z7cOzYC4WPf/2ajOfPPwMAatfOexlDmVBWdZ4Bg8H4dfitPcozZszAypUrsXz5cri6uhY5L2NBoaxnOSuRDABmZmkNAdIaBIihlSEs4tatIBw75o/bt4MweLCTUtUWvnxJxIABJxEW9hUnT/ZCx44VUa5VOQx7MAwHOxxE9JtobKq6CWUal4GJrQmiXkUh6nUUEiJ+iHWnQU68d6v6kOqo2LEidM11M71WzZolEBg4vkCrQNy5E4zly+8DAPbufYqRI2ti7twmsFTSC/7p0zf07n0MN2++BwCMGlULq1e3UhiXnJ7y5U1hZ2eCt2+/oE2b/bh+fWC+2vsyMiMrUybzCt+8GYRjx3oo/d5m51kWCDg4OVnh3r0QPHnyiW9uU1DMndsE48bVzdTEA0hLvivbrCzKNiuL5oubI/FLIt7ffI/i6VrRF69RHNrG2rCqboXiNYrzv80qmOXZY7x7ty+uX3+HqlUtFVa7ePw4DESAtbUh3846LzChzGAwCprf9ttkw4YNWLZsGTZv3oyhQ4fCzCwtoSs+Ph6xsblvM5mcnIy4uDgAQFxcHJKTkwvU3vySk2c5O5EMpCUvyZLvMoZfAMDgwU4oX94UEREJWL36f0rZpKEhQOvWdqhQwQyurj9qLJtXMscwz2GwcbGBQChA0O0g+OzyQcj9EF4k61vpo0zjMjCrJJ+IJxPJSUliDBt2GoHpql4UdKk0WQUQS0s9iMVSrF/vhXLl1mLRottIUKLt6ZAhp3Dz5nvo6Ylw4EAXbNjQLkeRDKSdt7Nn+8DcXBfe3mHo2PEgEhMLtoVrQaPs/CgK8yi9SBYKBTAw0MTdu8GoU2cr/BSscGRFdp5lmbf3yZOwAref4zg5kfz+fQy+flV8HnVMdGDf2R7G6VYwStUrhanRUzHw+kC0XNkSVftWhYW9Rb7CKpYta4GFC12yLBUpi0/OT9gFAP785qW8njpQFOZHXklNTMXW2luxtfZWpBbA91VBj1dYYzPUj1/z20QJRCIRdHV18eHDBxgbGyM+Ph6urq6oVq0aqlatim3btiEmJkbp8ZYsWQJra2sAgLW1NZYsWfKTLM87WYnlnEQyAAgEPy6+0dGZhbJIpIFFi9I62C1ffh8PHnzI0R5DQy1s3+4GL6/hcq+3c+cTSLU00O9SPwz3Go66E+rCZYELuv3XDSMej8D0uOmYHDYZg24NQsNpDRWO/eefl7B9+xO0b38g21JdeeXjx684ftwfAHDlSn9cuzYANWoUx9evKZg9+wbKl/8XO3Y8yfa1165tgwYNrPHo0Qj07p27LP9Klcxx8WJfGBho4tatIPTseTTLBhZFAWXnh6rnUUaRfPhwN3h6DoOdnQmCgmLh7LwDZ868VHq8rMSyi0tZdO1qj5o18x5m8P59DOrX345GjXYiLk6xYLp7Nxi1am1B377H5T6LRCT3eZFKCe7uNzBkyCl8Cv/Gr66dO/cK7dsfwJIld+TG7dbtMPr1O45nzz4rZauNjTFmzWqMKlUUe8+9vPIfnwz8+h5lVc+P/EBSwsdHH/Hx0UeQtABaWBfweIU1NkMNod+Ma9euUVhYGEVGRtKwYcOocuXKdObMGWratCnZ2tpS9+7dqUmTJqShoUHz588nIiKpVJrjuElJSRQSEkIAKCQkhJKSkn72oeSZhIQUatFiDwEepKe3iPT0FhHgQa6ueyghISXL51Ws+C8BHnTz5juFj0skUmrVai8BHmRsvJR8fT/l2rYjR54T4EEVKvxLiYmpuX6+jI8f46hGjc1Z2ppf3N1vEOBBjRrt4LdJJFLav/8plSnzNwEeBHhQy5Z7+ccjIuLpwIGncuMo89nKjps335G29kICPKh//+MkkeRvvJ+FsvNDlfMoNVVCffocI8CDhML5dPz4C/6xyMh4cnHZRYAHcZwHLVt2N1fv3bFjL0gonE+ABw0ZcjLftj56FErFiq3gP2fdux9WaM+DByGkpbWAatXaQlFRCUREtH79Q9LXX5zJDmPjpQR4UEBABL9tw4aHBHhQly7/ye1bsuQqAjzIxyeM3xYcHEMBARF5+kzL5sz164G5fm569u3zJcCDWrTYk69xiiq5mR+xsbEEgGJjYwvktT96fyQPeNBH7495en7yt2TygAd5wIOSvyXn256CHu9nj53f88coWHIzP37N2+4smDt3Llq0aIHz58/DzMwMgwYNAgAsXrwYKSkpOHjwIA4fPowjR45gzJgxmDdvHry9vZWKXdbS0oKhYVqZJUNDQ2hpFd2Y0Yye5ew8yen5kdCX2aMMpHmdjx3rAWdna8TEJMHVdS9evcpdkpupqQ5KlzZC9+6VlQpDSA+lS8YsXtwAXl7D0SRDUl9BUbGiGapUsUS7duVx504QiAgCAYc+fRzx8uVYrFzpCmNjbXTvnhaPGRWVgOrVN6Nv3+O4ejWQHye/cfFNmtjgyJHu0NDgsHfvU0yceLFIJqUqOz9UNY8UeZI7p+tiZ2ami0uX+uGPP2qCCJg27SoGDTqldJKfzLPMccCOHT4IDY3Ls60XLrxGkya7EB4eD1tbE4hEAhw58gJnzmRu+lO3bilcvtwft24N4leEdHVF+PYtBR8+yHfwmzSpHhYscIGFxY847KZNbbB9e0eMGVNbbt8NG9phwQIXPrEUSAtFqlRpPSZNusRve/fuC0aNOov//S8ky+MRi6Xo1q0yJk2qx5fZyyu/ukdZna4zDMavwq/5baKAGTNmYMmSJbC0tMSZM2cAAA0aNMCCBQvw4MEDREdHo2zZsgAACwsLDBw4ELq6uvD19VWl2T8NmVgeNqw6hg+vkaNIBn4k9GUXp6mnp4lz5/rAyckKnz/Ho1Gjndi27TF/AcuJZs3Kws9vFObMacxv27nzCWxt12DmzGty+3p5hSI4OBYSiRTx8Slo1Wofbt16zz8uKOAuZOnp3dsR168PwPTp19C48S4sWXKXf0xLS4jJk53x9u14DBrkBCBNaLVpUw7ly5uhWDHlEsKUpX37Cti9uxMA4N9/H2Lf97q2DOVZuPB2liJZhkikgQ0b2uHff9tAQ4PDnj2++OOPc0q/Rpcu9nzogZfXRxARAgO/5Cru+cmTMHTocBDx8amoW7ckAgO/IDVVipkzG6FDh8xdHAGgceMy0E1X07hjx4p4+XIsjh/vIbff3LlNMHt2Y7n4Znt7CwwZUh3NmpWV27djx4qYPbux3I1eXFwyNDU1ULfuj/CJrVsfY9Mmb8ydezPLYxIKBVi5siVWr26V7zyC0NA08c/KwzEYjILit6h6MXPmTCxfvhwrVqzAx48fcevWLf6xLl26YM2aNShTpgwsLCz47UlJSdDR0YG+vr4qTC4UdHRE2Lq1o9L7N2tWFmfOvMK8ebdgY2OMgQOdFO5nbKyNy5f7oVmzPXj27DOGDz+Df/55gGXLWqBt2/I5elEzVnB48yYa797FyMVhEhGaNNmFxEQxXr8eh507n+DKlUAEBETizZvxP6298/Pnn/kqBbGxP+yJSdeVTEbGqgNr1rSGWCwt8KRCAIhIVwnkV63eUlTIj8feyckKfn6fERAQiefPP2P27BswMtKCt/cI2NmZ5vh8iYT4phr9+1dDdHQikpLEGDLESen33dRUR2FFjPyyYUM7LFvWQs6ba29vjvLlTTFhQl2Fzzl37hVq1y6pdDWR7Pjvv2eYO/cGAKBBA+t8j8dgMBjAbyCUx40bh40bN2LVqlWYOHEiHj16hHXr1uHKlStwdU3rzDZmzBgIBAJcvHgRvr6+0NDQwI0bNyAQCFCvXj0VH0HRYcKEunj1KgobNz7C4MFpbZazEssWFnp49Gg4Nm58hAULbuP58wi0b38QrVrZ4fz5vrny9k6cWA9t2pSXu7jHxSWjZElDhITEwtraELNnN8a7dzEYN67OTxPJ69Y9xPjxF7B+fVuMGlUbZcoYoUwZI6SmSjF1aoMcn5+Txz6v/PPPA365e9asRnlu//s7M3t2Y7x+HY0DB/zQo8dRhV7l1FQJxo27gM2bvQEAAwdWw6ZN7XL1OrJGO4GBX7BuXVucO/caFSqYoUQJ5Uqi1apVAsOGVce2bU+wevX/MGdOYxCRUiK7MMh4E+jqaofu3R0UhlFt3vwIf/xxDo0alcbVqwPyNW//++/Z94RFwqBBTkrNRwaDwVCGX1ooJyUl4dOnT5g3bx4GDx4MIC2uy9jYGE+ePIGrqyukUikEAgHi4+Nx9OhR7NixA+bm5rC2tsbly5dRunRpFR9F0YHjOKxf3xYAlBLLWlpCTJxYD4MGOWHp0rv4558HcHS0zHVIhIWFnlzcJJBWru7163GQSokf78CBrrk8otwRHBwLIiAoKK18oEikgefPR0MiIZXVMc4oknPTUpzxA6FQwIevKBLLUVEJ6NbtCG7efA+OSyt3NmWKc67PdXqhrKmpgStX+kNXV5SrcVataoVLl94iMPALrl9/h9OnX+LUqZfYtasTjI21c2XPz8bKKusVuSZNbGBoqAUnJyvk5yObUSRv29bhly0Pp+4oqnFflMYrrLEZasbPzCosCkgkEkpMTJTbNmzYMCpZsiSFhYVl2t/Pz4/evn1LkZGRuX6tgs4yLqpIpVIaNeosXwFg164nSj0vKCiGoqMT+P9DQmLp8uU3P8nKgkcqldK5c6/yXamioPj77//xVQ9mzbpWZOzKCmXnhyrnkaLKFy9efCY7uzUEeJC+/mI6fTogz+PfuRNEgAeVLftPpsckEindvx+s1DiXLr3h33vAg6pU2VDk338iylTJJiQkf+/xoUN+pKExjwAPGjToJInFknyNpw6oah6xqg35g52/osVvX/Xiv//+w7Jly7B48WIEBQVBQyNtSS8lJa1Nq6urK758+YKtW7ciNVW+mHiVKlVga2vLNyBhZEbmWR41qhaIgMGDT2H3bp8cn1e6tBFMTNLCJ+LiktG27X60abMfR48qbmtbFDh69AWSktIqG3Acp1SMdUFBRPj2LQXBwbHw8fmE69ff4ejRF9iyxRsTJlxgnuSfgMyz3KePI8RiKXr0OIq6dbfh7dsvsLExxv37Q9ChQ8U8jy/zKAcHx8rVMU5KEqNjx4No1GinXEJqVrRsaYfhw2vwf2/a1K5A3v/790MKvK22jAcPPqB8+X9x/fo7flupUoZ5Ho95khkMRmHwy4VezJ8/H4sXL4apqSk+ffqErVu3YsCAAZgyZQoMDNLiAHv06IF169Zh79696N27N8qVK8eHYDCUI7dhGBnR1haiWjUrREQkoHbt/JWE+lksX34P06ZdRevW5XDmTO+fVnKKiBAQEIkrVwJx9Wog3ryJRnR0IqKjE5Gamn21ECaSC56MYRhfv6agYcPSOH68R6YQoNxiZaUPbW0hkpLECAmJ44WzlpYGTE11IJEQevQ4Cm/vETmKyJUrW8LV1RbdulXO9fufkiLB/fshCAiIxB9/1OK3z517A/fuheDhw2FwdCyWzQi5Y88eXwwffgYpKRIsWHAbLi42+frMMpHMUFci/CNy3EfXXBdGpY0KwRqGMvxSQvnjx4/YuXMnxo0bh1GjRoHjOAwZMgRr167Fq1evsGnTJhgZpX34Fi5ciHbt2mHGjBk4cuQIE8l5ID9iWVNTA3v2dEJo6Fc5QUBEKhd9UVEJWLXqf3zJt3r1Sha4SA4P/4arVwN5cSwra6UITU0NvlJB+h8XFxv0719V5efrV0QmlsuVM4FUSpg9uzG0tPL/dSkQcChb1hj+/pEIDPzCC2WO47BpU3v4+X2Gj88ndO16GLdvD8r2NQ0NtdC9u4NSr/v0aThiYpLQuHEZAEB8fApcXHYDALp3r8zXSBeJNJCUJEbPnkfh5TUcenqa+TlcSCRSTJ9+FStXprW1d3OriL17OzOR/BuSmpiK/W32AwD6XugLUT6Tmwt6vJ89tq65LkS6IpzodyLHfUW6IozxH8PEchHhlxLKSUlJ+PjxI6ysrGBrawsAuHTpEsaOHYsjR45g/PjxWL9+PfT19eHg4IARI0bg77//xqxZs7Bo0SIVW1/4JCeLMWHCRcTGJmPIECc0b26b60Q7RWL5/fsYVKliCXNzXZiZ6X7/rQORSCPTc9OL5BMn/LFjhw8OHuwKff38XaBzS0qKBOfPv8bu3b44d+4V78mdP78p5sxpku/xExNTcft2EK5cSRPHT5/K187V1haiUaPScHW1Rc2aJWBm9kMQ5zbZi1EwCIUCzJvnUuDj2tqa8EI5Pbq6Ihw/3gM1a27Bw4ehGD78DDZtai9XAzk3EBEuXnyDlSv/h+vX36FpUxvcuDEQAGBiooOmTW1gaqqDr19TeKG8Z08nVKu2Cf7+kZg48WKuykdm5O3baIwadQ5XrqQ12Jk9uxHmzXPJU31zsViKN2+iceXKW0yadImJZDWEpISgW0H830VtvJ89tlFpI4zxH4OEyIRs94vwj8CJfieQEJnAhHIR4ZcSyra2tqhduzb27duHMWPGQFtbG5qamli3bh1SU1Nx/PhxVKlSBZMmTYKZmRmGDRuGZ8+eoXfv3qo2vdBJThajS5fDOH/+NQDg0KFnsLMzwciRNTFokFOulpgzimUPj1sK9zM01IKZmQ4voJs0KYO//nKGhoYA376lYPjwM4iKSkTTprtw7lwfFCv2c2tYExEePw7D7t2+OHjwGSLTfYHZ25ujSxd7jBhRM9+vsXfvU0yZclmu1jEAVK9uBVdXW7i62qFBA+ufVj6OUbRIX/kiI2XLmuDgwa5o02Y/9u59ilu3grBihSu6d1c+vCI5WYwDB/ywcuX/8OJF2jKvhgYHqZRw4oQ/UlIkSE2Von//qkhNleDMmZdITZV+3y7B2LG1MXv2DWzb9gQtWtiiZ88quTq++PgULFlyFytW3EdKigTa2kKsXt0SnTvbIyoqAUKhABoaAujpiTKJXKmU8PZtNJ4/j8Dz55+//45AQEAkUlJ+xHQzkcxQR4xKGzHxq4b8UkIZAPr3749p06Zh/Pjx+Pfff6GlpQVNTU1s2bIFAQEB2Lt3L/744w8YGBjA3t4ep0+f/i3bgE6Zchnnz7+Gjo4QvXpVwbFj/nj79gumTr2K+fNvw8trOCpVMld6PJlYrlDBDDduvEdkZAKiohIQGZmA6OhEEKUl8MXFJePduxgAwMWLbxAZmYCVK1tCXz+to1+HDgfh7R0GZ+cduH59AMqUMf4px5+SIkHfvsflEgmtrPTRr58jEhPFWL/eC4sW3cGiRXfg7t4EHh5N8/QavXodxYkTAQCAEiUM0Lq1HVxd7dC8edl8x7sy1BOZUL5/PwRisTRTWE+rVuVw4kRPjBt3AcHBsejZ8yi2bbPFjh1uOcYtBwXFoEWLvXjzJhoAYGCgicaNy+Dcude4fTsIt28H5WgfxwEDBlTD7t2+GDHiLBwcLPmOgjkRGhoHF5fdeP067fU1NdNCOUaPPo/Ro8/L7WtqqoO//nLGuHF1oKeniQ8f4tC69T48f644hlNXV4TKlS3QoUMFzJrViIlkBoNRKPwyQlmWjNevXz/cvHkTx44dg5GRERYuXAgtLS2IRCKsXLkSjRo1wqVLl9CtWzcA+C1FsjLkZaWf4zhMnFgPEyfKN2mRSKSIiUlCVFQiL6Bnz76Bp0/D+Qs6ANStWwr37w9F69b78PbtF7i47MaNGwMLXCynpEjQo8cRnDr1EiKRAF262GPgwGpwdbWDUCiAm9shuf29vcPy9Brdux/B6dMvoaWlgXnzmmLSpPo/rRkKQ31o3rwshEIB7twJxsCBJ7F7d6dMYtnNrRJcXe2wYsU9LF16D1euBKJKlQ1Yt64t+vZ1VOhdDgqKQdOmu/H+fQysrPTx55/1MGJETSxYcBvnzqWtHDk7W0NTUwMikeD7bw25/8+de43Pn+Px7VsKGjUqjTt3gtGy5V7cuzcEZcuaZHtckZEJcHXdi9evo1GqlCEaNrTGoUPPAaSFsWRsYx8dnYgZM67hn38eYPLk+ti82Rtv336BlpYGKle2gIODJRwcLODgYIEqVSxRpozxT21Lz2AwGIpQW6EcEhLCC2ATExMIBAKkpqZCT08PGzduRM+ePbFjxw6Eh4dj8+bN0NHRQUJCAvT19WFomPeSRL8KK1e2RGBgDM6ff42dO30AAHZ2Jvjjj1oYNMgJ5gVYbF1DQwAzs7RwiwoV0sruXbr0Fk+fhmfyWpcrZ4qbNwfBxWU33ryJhovLbly/PhA2NsYFZk9AQCSuXg2ElpYGTp3qhVatysk9nrG9b7Vqucv+zyiST5/ujZYt7fJtN+PXwNGxGA4f7oYePY7iwAE/AFAolnV1RXB3b4qePatg4MCTePgwFP37n8CJEwHYudNNrslNepFcrpwpbtwYyHufjYzS9hsxogY2b+6QrW1Pn4ajWrVNOHXqJXx9R6Jnz2N49uwzXF334u7dIVk2EImNTUKrVvvg7x+JUqUMcf36ADRpsgsAsH9/F/Tpk9YtUiolSCRSpKZKcezYC3h43EJgYNpKFgCULWv8U26OGdkTGxyrVOwsg/E7opZCeeHChTh06BAiIiJQu3Zt9OvXD7169YJIJIJEIoGxsTEOHz6MCRMm4PTp06hcuTIaNGiAd+/eQU9PD/b29jm/yC+OlpYQx4/34JP5hg6tjmbNyhaaxyYgIK1Wq6LwjlKlDHHjxkBeLJctuwbVqhVDlSqWcHS0/P67GKytDZWK2/TyCoWnZyjq1CmJOnVKomrVYrh4sR/i41MyiWQAMDOTF8pOTlZKHxcTyQxl6NzZXimxDKTNkXv3hmDZsrvw8LiF0NA4uQS/7EQykNbFEgBiYpJztKtq1WJwdrbG/fshOH48AJcu9UPDhjvw9u0XtG69DzdvDlLY/e/UqZd4/DgMFha6uHKlP7y9wxAW9g1WVvro1q0yv59AwEEgSPNk9+9fDb16VcGOHU+waNEd6Otr4sKFvkwkFzKxwbFYb78eqQmpOe4r0hWxjnWM3w61E8p79uzBokWLMHjwYAiFQty4cQN9+vTBs2fP4O7uzotlIyMjbNiwAW5ubti1axeeP3+OYsWK4cqVK7C2tlb1YRQJtLSE2LSpvUpeOzuhDPwQy1u2eGPBgtvw9Q2Hr698pQhDQy1UqWKJKlXSlmZFIg28fh2F16+jcfBgV7601fbtT7B5szdmz26EOnVKAgAaNsy6NXlePcpMJDNyQ27EslAowKxZjdG2bXno6Wny+7x6FYX69bcjOjpRoUgGfniUY2OTlLJr1KhauH8/BFu2eGPGjIa4fLk/GjbcAV/fcHTocBCXLvXLVIljwIBq+PYtBc7O1qhUyRxDhpzix8ou3Egk0sDIkbUwYkRNEIGFVqiAhMgEpCakovO+zrCwt8h23/zW9xXlsYJLYY1XWGMz1Au1E8ovXrxAqVKlMHfuXFhZWcHHxwfbtm3DkiVLEBMTg3///Zf3Murq6qJz587o3Lkzvn37BpFIxGKSiwAbN3ohNPQrBAIu24TBUqUM4eHRFIMHO8HP7zOePfvM/w4IiERcXDLu3w/B/fshmZ775k00qlVL8wQ7O1sjPDwe9jlcBGSk9yjr6YlgZ2ea43OYSGbkhdyIZQCoXr243P9OTpuQmCjOUiQDPzzKsbE5e5QBoFu3ypg48SJCQuJw/vxrdOhQEZcv90fjxjtx924wxow5j5073SAWS5GcLOZvSEePrg0gbQXnf//7AJFIgJEjlasaw3FcnvIiGAWHhb0FitconvOOeURTTxMz42cW2fEKa2yG+qE2QlnWiIKIEBkZidDQUFhZWcHJyQnTp0+HsbExFi9eDAsLC7i7u4OIMGbMGNSoUQPDhg2Dvv7PLTXGUI6NG7347Pdp0xooXMZNT1qDBhOULWuCjh1/tA5OSZHg1aso+PmF49mzz3j2LAISiRTly5uifHkzuVjKAQOqYcCAakrbKKspCwDVqlnl6OViIpmRH3IrlmUkJqZi4sR6KFnSAG5ulbKsiJFbj7K2thCDBzth5cr/YePGR+jQoSKqVi2Gs2f7YNSoc5g9uxGkUsKwYafx6lUUzp/vKzeP//33IQCgV68qP73EI4Pxq8I6+BUd1EYoy7zE/fr1w+rVq7Fr1y7UqFHje9OKUhgxYgTCw8OxaNEi1KpVCxoaGti0aROcnZ3Rq1cvJpSLAOlF8pQp9bFoUbM8j6WpqfE97EK5slW5Ib1H2ckp+7ALJpIZBUFexLKOjgiLFzfPcezcepQBYOTIWli58n+4ePEN3r37grJlTdCwYWn4+IyEhoYAgYFfcPr0S8TFJePhw1D+M//p0zccOvQMADBuXB2lX4/BYKTBOvgVPdRGKMtwdHTErFmzMH/+fJQuXRp//fUXAKB06dIYMWIELl68iDNnzmDevHlYuXIl2rVrx0RyESCjSF6+3LXIdptLH6MsC9+QIZUS3ryJhq/vJ/j4fMKVK4Hw8vrIRDIj32QUy0FBMahVqwRKlzaCtbXh999GsLLSz1Usb249ykBa9ZmWLe1w+fJbbN7sjaVLWwAAX7vY1tYEt24Ngr9/pNxnfssWb6SmSlG/finUrl1S6ddj/PqIk8Q43PUwAKDHsR4QaudPfhT0eIU1dk6wDn5FD7UTygAwYcIEvHv3DtOmTYNEIsGkSZOgpaWF2rVrw97eHs+fP4elpSX+/PNPVZvKQO5E8pcviQgIiEz3E4XY2CSIRBoQCgUQiQTff2f8XwCO4yAWS+V+JBLKtE1LSwNmZrowNdX+XrZOh/9taqqDpCQxb09yshibNz+Cr284fHw+4enTcMTHy2eHM5HMKCjSi+V790Jw717m+HuRSICSJQ158VysmB6MjLRhZKQFY2Nt/m/Zb1n94vj4VISFfUXx4gZK2TJqVC1cvvwW27c/wbx5TaGlJX+5cHQsBkfHHysuKSkSbNz4CAAwfnzdPJ4Bxq+KVCLF6++dYKUSaQ57F/54hTW2MrAOfkULtRTKJiYmWLFiBYRCIWbNmoWAgAB0794dJiYmiIqKgo2NDZKTk6GtnX38K+Pnc/Pme6VF8u7dPhgy5DSkUipME7Nl/PiLmbZpawvh6GgJJycrVKtWDK1alUO5cjkn/DEYytC5sz2ePBmJmzffIzg4FiEhcd9/xyI09CtSU6V4/z4G79/H5GHs//C//w1VajWnffsKKFXKEB8+xOHUqZfo0cMh2/1PnQrAp0/fUKKEAbp2ZSU4GQzGr4FaCmUAsLS0xOrVq+Ho6Ig5c+Zg//79MDIyglAoxJ49e5hILiI8ePABANC2bfkcwy1u3w6CVEowM9NBjRrFUamSOSpVMoe5uS7EYilSUyXff0sz/Z+aKgGQVkZLKBRAQ0OQ7m9ObntSkhhRUWmttaOiZD8JiIpKRHR0WvdAmVjX1RWhYcPScHIqBicnKzg5WaF8ebMcE60YjPyQVfy9WCxFWNhXOQEdERGP2Njk7z9JmX6nXwHx9AwFkXKdN4VCAVq0sMWuXT54+zY6x/1lXTZbtrSDSMQ6UDIYhQFL+vv5qK1QBgAjIyNMnDgRHTp0gKenJwDA2dkZNjY2qjWMkQkrKz2lY5KnTHHG9OkNf7JFWdOq1T5cvvwWQFq95UuX+qnMFgYjPUKhANbWabHKyiCVEjQ05uf59TQ0cp9HkJfnMBiM3MGS/goPtRbKMuzs7GBnx+JDGQwGg8Fg/PrkNukv6E7QT28o86vC1o+LGMnJyfDw8EBysvKlnFSNOtoMqKfdzGb14Fc75qtXr/0Sx/KrvS/K8MnnE8Ieh2X5o8zSvbKo8/lVR9uNShuheI3iMHUwxebTm2HqYIriNYrL/ZRpVIb3PG+puSXbn/X26xEbHFuox6AO5/2X8CgXFYjS4lrj4uLyPEZcXBzmzZuHYcOGwdBQcQOBokZ2NiclxQNIQkpKQo7nJSUlAUASkpLi83UOlSUru8XiRABJ/N+FYYuyqPPno2fPngB+zJOsKIh5pGqKyvuUFmsvXxYuLi5O6fJysjl5/fpNRERkfyy5meuqoqi8L/lBdm6VnUebmmyCFrLvSCvSEUGsJc73+5bd+U2JT0HS989iXFwcNCWa+Xqtgh4vve3aGtoFOvbPJrvzzhlz6P+wPxKjErMdI/JlJM6MOIPnl57DvGLWHXMLmvj4eGyatwludd2gp6dXaK/7Lf4bgJznEQBwpMxeDKX48OEDrK2tVW0Gg1GkCQkJQalSpbJ8nM0jBiNn2DxiMPJPTvMIYEK5QJFKpfj48SMMDAzy3EwjLi4O1tbWCAkJURuPhzraDKin3epsc3BwMDiOQ4kSJSAQZB31VRDzSNWo4/uUFexYihZEhK9fvxbJeaTO55fZrhpUZbuy8whgoRcFikAgyPHOJCe0tLTg7u4OCwsLaGllv1xWVFBHmwH1tFudbba0tFTK5oKYR6pGHd+nrGDHUvQwMso54UoV80idzy+zXTWo0nZl5hHAPMoMBoPBYDAYDIZCWNULBoPBYDAYDAZDAUwoMxgMBoPBYDAYCmBCmcFgMBgMBoPBUAATygwGg8FgMBgMhgKYUGYw1ByWj8tgMNQBdf2uUle7Zai7/aqGCeUiTPoPt1QqVaEluSM+Pl7VJuSK9OdZ3b5QpFIpOI5TG7vV+VwXBOo0j3Pid3z/GHlj/fr1eP78udrWRZfZrW7z98CBAwgMDFTb8y5D1d81TCgXYcLDwxEZGQkiyrEgdlFh7NixaNasGZKSknLeuYgQExODpKQkEJFaic6JEyeibdu2vN3qgLqe6/wQFhaG8PBwSKVSCAQCtbvYpic0NBTBwcEQi8Vq85nLiuvXr/8Wnz9VM2PGDIwfPx5+fn5qd76PHTuG5cuXY+PGjXjz5o3aXIcBYOrUqRg1ahQCAgLU7rxfunQJO3bswNmzZxEaGqr6awUxiiQLFy4kW1tbsrCwIGdnZ7p79y7FxMSo2qxsmT59OmlqatKCBQsoLi5O1eYoxdKlS6latWpUqVIl6tKlC71//55SU1NVbVaOTJ8+nUQiES1ZsoS+ffumanOUQl3PdX5YtmwZVaxYkaysrMjFxYUiIiKIiEgikajYstyzYMECsrW1JQMDA7K1taXnz5+r2qQ8c/DgQeI4jmbOnKmW74W6MH36dBIKhbRy5UqKjIxUtTm5wt3dnbS0tMjKyoq0tbXJ3Nycdu3aRUlJSao2LUdk53358uUUFRXFb5dKpSq0Sjnmzp1L2traZGBgQFpaWlSlShW6cuWKSm1iQrkIsn//fhIIBDRp0iQaN24cVa1alfT09Gju3LkUEhKiavMUMm3aNNLU1KS///6bPn/+rGpzlGLr1q0kEAhoxIgR1LlzZypRogQVK1aMduzYQdHR0ao2L0umTp1K2tratGrVKoXnuih+Garruc4P69evJz09PRo5ciSNGDGCSpcuTfb29hQfH69q03LN4cOHSUtLi6ZOnUozZsyg+fPnyz1eFD9z2XHq1CniOI44jqMJEyao2pxfkvXr1xPHcbR9+3b68uULv/3bt29F3ukTEBBApUuXphkzZlBoaCgdP36cOnbsSAKBgObMmVOkr3H//PMPcRxHW7ZskftuFYvF/HdPUZ2v3t7eZGFhQe7u7vT69Wtat24d1apVizQ0NGjr1q0qs4sJ5SLI9OnTqUKFCryn8PPnz9S/f3/iOI5Gjx5NoaGhKrbwB1KplAIDA4njOGrZsiUlJCQQEVFycjJt2bKFVq1aRd7e3kVSDA0ZMoTq1KlDYrGYiIgePXpErVu3Jh0dHVq+fHmR/DJ/+vQpcRxHvXv35relpKTQ4cOHadeuXRQSEkLJyckqtFAx6niu84pUKqXExERq0aIFtW7dmn8/jh07RoaGhir3juQFDw8PqlixIv8+paam0pUrV2jv3r306dMntVsZCAwMJHt7exo4cCDp6OjQmDFjiqx4UFe2bNlCenp6NG/ePCJKE8gtWrQgOzs7Kl26NG3dulVOQBclgoKCyMDAgBYsWMBve/fuHU2YMIEEAgEtWLCgSK5ExMfH08yZM8nCwoI2btzIb+vUqRPVqlWL6tatSxcuXFCxlVnj5+dHWlpatHnzZn6bp6cnde3alTQ0NGj37t1EVPgrckwoF0EWL15MGhoa5O/vL7f9jz/+II7jaOHChbwgLSosX76chEIh3blzh4iIKlWqxHtsdHR0aOLEifThwwcVWynP6NGjydzcXM5L/+XLF+ratSvp6enRvn37iKho3X0nJSXR2LFjSV9fn168eEFERA4ODvy5trS0pDVr1hQ54amO5zo/JCcnk4uLC9WuXZsXAyEhIWRhYUGjRo2inj170uHDhyksLEy1hirJggULyMTEhPdIOTo68p+5YsWK0dq1a4us6MkKJycnmj17Nq1cuZI4jqOJEycSEdHVq1eL3PxRJ65du0ZhYWEUGRlJw4YNo8qVK9OZM2eoadOmZGtrS927d6cmTZqQhoYGvzJRFOZ9ehvevn1L5cqVo7Zt28p9Z0VERNCYMWNIIBDQkSNHMj2vKPD06VNq1aoVubi4kKenJ9WtW5dKlChBzZs3pwoVKpBAIKBdu3YRUdGxXeYUfPr0KRkYGNCoUaPkVt6eP39Obm5upKGhQbdv3y50+5hQLkLIPrTXr18nMzMzGjZsGH369Elunz59+pCRkREfH6jqD7rszi4sLIw6d+5MxYsXp169elGzZs3owoUL9Pz5c17gr1+/Xu45qiC9t/Xw4cMkFApp4cKFFBsby2+PiIggV1dXKlmyZJHxhKe329/fn5ydnal+/frUvXt3atCgAR07dowuXrxIXbp0IR0dHTp37hwRqf7zIWP//v0kEonU4lwXFPPnzyehUEhTpkyhCxcu0IwZM4jjOHJyciIbGxsSiUS0YsUKIio671NGZHadOXOGjIyMaOXKlTR69GiqVKkSnTp1ii5evEidO3cmXV1dOnXqlNxzihKKbBo0aBDNnDmTUlJSaMmSJaShoUElSpQgR0fHIndTry7MmTOHD7cgIrp79y5VrlyZ6tevT87OzuTp6UlEaauk48ePJw0NDXr06JEqTeYJCwujiIgI/vq0adMm4jiOVq5cKReX/OrVK2revDnZ2toWmVDI58+fk6enJ339+pWIiG7evEkGBgbUvHlzatq0KXl5eRFRmse2c+fOpKenR69evVKlyTxjxoyh2rVr884/d3d3EolEdPToUbn9ZJ+lZs2aFXq8OxPKRYAHDx7IBdwTEY0YMYIEAgEtXbpU7rH379+TjY0Nubm5FbKV8iiy+dKlS1S3bl3S09OjxYsXyz3WoUMHqly5cmGamInNmzdT//79acCAAXTs2DGSSqU0cOBA0tPTo0OHDvETVSKR0O3bt8nY2JjGjBmjUpuJ5O0+fPgwpaam0rFjx8jGxoasrKxo3bp1/L6xsbFUt25datq0qQotJjp+/DitWLGCPDw86PXr10RE1LNnTzI0NCzS5zo/nDx5krZv306bNm3iQ0zGjx9PVlZWZGJiwscNfvz4kYiI2rVrR3Z2dkVudYgo7WYso10dO3YkCwsLaty4Mf3111/89ujoaKpVqxY1aNCgsM1Uil27dtGff/5JU6ZMofv371NiYiIREW3YsIHs7OwoJSWFIiIiyNHRkYRCIbVp04Z//xjKI0sgK1asGHXq1InffuzYMeI4jipVqiQX2+vt7U0GBga8qFYl6ZPn69WrR3fv3qUPHz7Q2LFjSSQS0ZYtW+Tmw8aNG0kkEtG1a9dUaHUa7u7uZGxszK8oLl++nIiIdu7cSRzHUf369eVWSM6dO0e6urp0/vx5VZnMk74AgMzGN2/ekKurK+nq6tKlS5fk9p89ezbp6+vT06dPC9VOJpRViEQioTNnzhDHcZkEMRGRm5sbaWtr08KFC3kPR3JyMrVs2ZIaNWqkCpNztHnu3LlkaGhI9+/fl9s+fvx4qlKlSmGaKseCBQtIIBBQtWrVyNzcnLS1tWny5Mn07t07atq0KVlaWtK+fft4r2Z8fDxVq1aNunTpojKbFdmtq6tLkydPJiKiUaNGEcdx5O3tze8vlUqpe/fu5OzsrCqTyd3dnfT19alUqVLEcRzZ2trSrVu3KCIigurVq0fFihUrkuc6P8ydO5d0dHTI0NCQOI6jatWq0cGDB4koLcRk48aNZGVlJfcF/8cff5CdnV2RW+Y/dOgQaWtr06FDh+SWP0NCQqhJkybEcRx1796dXxmQSCTUpUsXcnJyUpXJWeLh4UECgYBsbW1JU1OTTE1NeQ/hrVu3qEyZMhQVFUUDBgwgExMTGjhwIGlra9OQIUNUbbpaMWPGDBIIBLRq1SqaPHky1apVS+7xtWvX8isOMu7du0eWlpb033//FaapmVCUPK+vr0/u7u509epVGjhwIAmFQlq8eDG9ffuWiNLCc0xNTens2bMqtf2///4joVBI06ZNo927d1OvXr1IIBDQ1q1bSSwW09SpU+nMmTNyz7l69SpZWFjQ5cuXVWR1GtkVAHjw4AHVq1ePtLW1ad++ffx35NGjR8nMzIzu3btXqLYyoaxiQkNDSSQSUYUKFWj58uVycX7x8fHUpUsX/sJ0584devDgATVo0IDatWtHycnJKlnmzM5mIuLFwLt37ygsLIz8/PyoYcOG5OLiQomJiYVuc3h4OFWoUIHGjBnDizM3NzcyMjKiO3fu0KtXr6hRo0akq6tLf/31F/n6+tLTp0+pdu3a1LdvX0pNTVXJec7Kbn19fX658uHDh/y+MTExFBAQQPXr16dOnTpRSkpKodsdFBRExYsXp6lTp5K/vz/5+flR8eLFeRH88uVLatGiBWlpaRWpc50fXr16RVZWVjRr1izy9vammzdvkr29Penr69OsWbMoPj6erwDg5eVFSUlJ9OzZM2rcuDG1bt26yFXBePz4MXEcR7Vq1aLDhw/znjSxWEz379+nZs2aka6uLi1fvpwCAwPJx8eH6tatS61ataKkpKQi8/4FBgaStbU1TZkyhUJCQigpKYmqV69OZcqUoaCgICIiqlKlCunr65OJiQlduXKFPn36RHPmzCEzMzO1iR9XNWPHjiUNDQ36+++/iYjIy8uLtLS05ISYLJzhwoULtHTpUlqxYgW1bduWrKys+PdCVShKnu/Xrx9xHEdjxoyh27dv06RJk4jjOKpTpw7179+fGjduTCVLllR56MXcuXOpbNmy/DU4KSmJ6tatS9WqVSMi4ldPLl++TAcOHKAdO3ZQ27ZtqVSpUiorCpBdAYCNGzfS2rVr6cmTJ3TmzBnq1asXcRxHnTp1osmTJ1OzZs3IxsYmU0jqz4YJZRVz+fJl4jiOhEIhmZmZ0YoVKzIJzz///JPKli3LL62Ym5vTs2fPVGMwKWezl5cXCYVCsrS0pAoVKpClpSX5+fmpxN6goCC+nJqMN2/eEMdxtGjRIiJKC1no06cPGRsbk4aGBllbW5OpqalKa8VmZ7e7uzu/7f79+2RiYkKVK1cmR0dHlX4+/P39ieM4OnDgABGliat+/fqRnZ0dXbx4ka5cuUIfPnygcePGkb6+fpE51/nhyZMnJBAIaP/+/fy2+Ph4atGiBRkYGNDChQvp+fPnVK1aNSpevDg1atSIqlWrRsWKFSuSxyxbKuc4juzs7OjIkSO8mJdIJPTu3Tvq2LEj6enpkbGxMZUuXZpMTU1V+p2kiGfPnpFAIOA9+0REd+7cIY7jaN26dSQWi2n27NnUokULOnv2LB9uERkZyde7ZmRPYmIidevWjRYuXMh7/V6+fEnFihWjZcuWEdEPkfzt2zcaOnQocRxHFhYWVKNGjUJfQldEVsnzI0aM4K8RCQkJdODAAWrSpAkfJ1sUbF+1ahWJRCIKCAjgt40cOZKEQiHvpY2KiqLWrVsTx3FkYmJC9vb2RcL27AoAGBgY0J9//kne3t60adMmsrW1pdKlS1OtWrVUYjsTyipELBZTt27dqEyZMrRp0yZycnIiQ0NDhcLTz8+PDh8+TIcOHVLpHXhubJ46dSqNGjWKZs6cSW/evFGNwd9p2rQplStXjr97/fDhA59olZ4rV67Q2rVr6Z9//uGX2VSJIrtFIpFcjOjHjx9p4MCB1KFDBxo9ejS9fPlSVeZSYmIilStXTq4sWsOGDUlXV5f09fVJR0eH3NzcSCwW0+3bt2ndunVF5lznlbi4OKpUqRK1atVKLukyMTGRmjRpQiYmJrR//366e/cu9ejRg5o0aUJDhw5V6fuUFSkpKXyi0rx586hMmTJUpkwZOnLkSKaY5X379tG8efNo4cKFKp/fikhOTiYHBwdq0KABn4zl6+tLHMfxcZxfv36lt2/fspjkfCCRSHjPpYxhw4ZRyZIlFXrl/fz86O3btypvQKJM8nzv3r3J0NCQvwmMjo6m1NRUPmlOVchsv3nzJolEIurRowe/6uju7k4cx1FgYCC//+fPn8nb25u8vb0pPDxcJTbLUKYAgOwmRZZ/8+HDB5XW32ZCWYUkJSXRsmXLyNPTk1JTU8nb25uqV69ORkZGCoVnUUDdbJZ9oaxdu5ZMTU355cCwsDDiOI7mzp1LRGmTNyIiItMXvqpQ1m4ikosTV3VtT7FYTDNnzqS2bdtSaGgoBQUFUZMmTWjGjBl05coVGjt2rFxW/K+AWCym6dOnk4mJCS1evFiupnBsbCyVLVuWWrVqxW+TSqVFVpglJCTQ+PHj6X//+x99/fqVTxq1sbFRKJaLMhKJhCZOnEgWFhZ8zkRAQABxHEerV6/m94uIiKCUlBRVmamWHDp0iJYuXUqLFi2iwMBA/vzJbhT/++8/0tXVpfnz5xe5c5uX5PkOHToQEal83iqyfdq0abRv3z7+mtGnTx8yMTHhQzNfvXpFu3btUnn/hdwWAGjfvj1VqlSJiFR/XWNCWUXIJpxEIuE/4BKJhLy8vBQKz6IQ95dXm1Vpu2yCJSQk0OPHj/ntT548IY7jaMOGDUSUtkzbpUsXGjlypNzxqQpl7fbz86NOnToVCbtln4+EhAQ++TQ1NZXCw8P5pfvU1FQyMDCgadOmqczOgkR2zDExMVS3bl0yNzen9evXy4nlffv2EcdxKk+eyQmZzRKJRO7zd+TIETmxLLuZLArzOytk70tcXBzdvn2bt1EWNiYLx/Dz86NBgwbRwoULi+RxFEXmzZtHWlpaVLx4ceI4jmxsbGju3LkUFxcnt1+jRo2ofPnyfNUbVYsddUyel5GT7elxdXWlqlWrElFaKFyLFi2oTJkyKou5V9cCAOlhQrmQCA4OpvDwcLlasYq+OKRSKS88zc3Naf78+SpbbvhVbFbUNezChQvEcRydP3+eQkJCqG3btqSjo6Oy2C11tFtZm9OvMty7d49sbGzkStqpE48ePSIfHx+5eHuZxywiIoLKly9P5ubm5O7uzou1w4cPk76+Pp94WVRQdCzpxaLs78TERF4slytXjvbt21dkVl5kKDoWRZ/F3bt3E8dxdP/+fQoKCqK2bduSpqZmkYwVL4qEhoaSjY0NTZkyhd6+fUuBgYHUtGlTMjY2pl69esl979+6dYv09fWpW7duKrRYHnVMns/JdplNYrGYkpKSqFatWlS/fn16+fIltWzZkgwMDOScLapA3QoAZIQJ5UJgwYIF5ODgQJaWltSuXTu55BJFSKVSevToEZUtW5YvX1TY/Oo2X7lyhTiOIw8PD+rUqRPp6+vTkydPCs/YdKij3cra/PLlS5o4cSKNHj2aVq9eTc2bN6fixYvTu3fvCtfgAmDu3Ll8aUFTU1O5pULZknNkZCQ1btyYjI2NqUaNGjR58mRq3LgxWVtbq3zpMz3ZHYuii1JiYiLfgrtq1aqZvIeqJDfHcuDAAeI4jjZu3Ehdu3YlAwMDlc17deTt27ekqalJK1eu5LclJyfT8OHDydjYmAYMGMDH70ZGRtKff/5JHMfRzJkzVWWyHOqYPC8jJ9tln/X+/fuToaEhtWjRgnR1dcnHx0dFFv9A3QoAZIQJ5Z/M7t27SVtbm0aNGkXjxo2jKlWqEMdxNGvWrGxjt6RSKT1+/FguIL+w+JVtln2ZfPr0icqVK0ccx5Genp7KLpbqaHduPh/fvn2j1q1bk7a2NllaWlKdOnWKzJdfbjhw4ABpa2vTzJkzaf369TRgwADiOI7+/fdffh+ZBzM2Npb+/vtvcnZ2pnLlylHDhg2LRJa5DGWORREJCQl06tQpfim9KKDsscjmz5MnT8jExIQ0NTVVOu/VmQYNGpCTk5PcqkJycjINGjSIDA0Nafny5fxcePHiBbVs2bJIzHl1TJ6XoYztss/4hg0biOM4MjU1LRIiWV0LAKSHCeWfzLRp06hcuXJ8fNCTJ0/4XvFjxowhqVSq8titjPwuNvfv35+MjY1V6i1QR7tza3Nqaiq9efOGnjx5ovJM97zi7u5ONjY2fOyiv78/Va1alRwcHOjTp09ZJuiFh4fz9VmLCnk9lqJIbo8lNTWVGjZsSBzHsXCLPLJp0yYyMjKi4cOHy7V2TklJoXr16pGjo6PcikP6fVSJuiWipye3to8YMaLI3Jyr83mXwYTyT0J2dzd16lQyNjaW62cfEhJCs2bN4pfQZfuPHj1apdUAfheb//jjDzp27BglJSWprGC8OtqdF5tHjhxJu3btKnRbCwrZMc+dO5eKFStGXl5e/GN//PEHmZub8y2pidJi+N3d3YtEe9iM5OVYPDw86MKFC4Vua07k5VjmzJlDXl5e9PXrV5Wseqk76esh9+rVi0xNTWnKlClyQvju3bvEcRwdOXJEVWYqRB2T52Xk1vaihDoWAFAEE8o/madPn5JQKKSxY8fKvflBQUE0bNgwEolEdPbsWT5Jy9nZWeU1Gn8Hm+vUqVMkSl2po925tblBgwZFKqY1L8jq7w4aNIg/lvHjx5O+vj69ePGC32/dunXEcRx16dJF5e9TVuTlWIpa8p6M3B5Lhw4dily5sqKKomRd2bn78uULtWzZkkxNTal///78Z/3y5ctkYGBAly5dUonNMtQxEV0Gs73owYRyISArAC4rci/j4cOHVKpUKRo5ciR9+vSJVq1aJddhR5UwmwsPdbRbHW3OL//++y/t2bOH95J07dqVrK2t+S/4Fy9e0MKFC2n16tVF/pjZsTCyI7tk3fQlEQcOHEgmJiZkY2NDffv2JWdnZ7KysqLg4GBVma6WiegymO1FEyaUC4Ho6Gg+yWTJkiVyS1Wurq7UsGHDIrfUwGwuPNTRbnW0Ob9kjNtt3Lgx1axZk1JTU+nFixd8m1hV1SvNDexYGFmhTLKu7JzHx8fT8ePHqWPHjuTk5EStWrVSaeKeOiaiy2C2F12YUC4kwsPDaciQISQQCGjgwIF09uxZunfvHtWoUaPILm0ymwsPdbRbHW0uSOrXr08NGzakZ8+eUbt27cjQ0FDl9UrzCjsWhoy8JnN//fpV5Yl76piILoPZXnRhQrkQiYmJob///pv09fX5eoLFihUrEjUas4LZXHioo93qaHN+kUqlJJVK+RjN+vXrq22pMXYsDBl5SdYdNWoUbd26VSX2pkcdE9FlMNuLPkwoq4A3b97Q/v37af/+/WrTeIHZXHioo93qaHN+OXnyJHEcR9ra2uTr66tqc/IFOxaGjLwk66o6mVuGOiaiy2C2F12YUGYwGIw8EBMTQ1OmTCF/f39Vm5Jv2LEw0qPOybrMdtWgzrbnBBPKDAaDkUdkHch+BdixMGSoc7Ius101qLPtOSEEg8FgMPKEUPjrfIWyY2HIMDExwYoVKyAUCjFr1iwEBASge/fuMDExQVRUFGxsbJCcnAxtbW1Vm5oJZrtqUGfbc4IjIlK1EQwGg8FgMIoWsbGx2LlzJ+bMmYOkpCQYGRlBKBTi2rVrcHBwULV52cJsVw3qbHtWMKHMYDAYDAYjS96+fQtPT08AgLOzM2xsbFRrUC5gtqsGdbY9I0woMxgMBoPBYDAYChCo2gAGg8FgMBgMBqMowoQyg8FgMBgMBoOhACaUGQwGg8FgMBgMBTChzGAwGAwGg8FgKIAJZQaDwWAwGAwGQwFMKDMYDAaDwWAwGApgQpnBYDAYDAaDwVAAE8oMBoPBYDAYDIYCmFBmMBgMBoPBYDAUwIQyg8FgMBgMBoOhACaUGQwGg8FgMBgMBTChzGAwGAwGg8FgKIAJZQaDwWAwGAwGQwFMKDMYDAaDwWAwGApgQpnBYDAYDAaDwVAAE8oMBoPBYDAYDIYCmFBmMBgMBoPBYDAUwIQyg8FgMBgMBoOhACaUGQwGg8FgMBgMBTChzGAwGAwGg8FgKIAJZYZaYmNjg/bt26vaDAZDrUlISECTJk2gqamJ0aNHg4jQrVs3aGlpoW3btqo2j8FgMFQOE8oMBoPxm3Ls2DHcvn0bo0aNQo8ePXD37l0cO3YM3bp1w5gxY/I9vr6+PgYNGpR/QxmMX4SMc+Lo0aPgOA43b95UmU2M7GFCmcFgMH5TPn/+DACYNGkSmjZtyv8/fPhwtGvXTpWmMRgMJUhKSlK1Cb88TCgzijS7du2Cg4MDtLW1YWdnh7Vr1yrc78mTJ2jYsCG0tbVRvHhxzJkzB2KxGABw8+ZNcByH9evXo2bNmtDS0oKDgwOuXbsmN8ahQ4dgZ2cHbW1tNGzYEC9fvvzpx8dg/Gzi4+MxZswYmJmZQVdXF23btsW7d+8waNAgTJkyBQBQtmxZeHh4oFu3bgAAFxcXDBo0CGKxGNOmTUOpUqWgo6OD2rVr4+rVq/zYiYmJGDlyJIyMjGBqaooJEyYgNTUV79+/B8dxiI+Px+7du8FxHN6/f6+Kw2cw8kRW1x4iwpIlS1CyZEno6emhQYMGuH37Nv+8p0+fomXLljAyMoKxsTE6deqE0NBQhXNi0KBB6N69O4C0Ode0aVMAWc8rmV0cx+HkyZOoXr06nJ2dC/fE/I4Qg1FEuXfvHgGgrl270ubNm6lDhw4EgE6fPk1lypShdu3aERHRq1evSEtLi+zt7envv/+mUaNGEcdxNHToUCIiunHjBgEgHR0dGjduHP3zzz9UsWJFEgqF5OPjQ0RE//33HwmFQpowYQJt2LCBnJ2dycTEhN6/f6+y42cwCoJmzZqRpqYmTZs2jZYvX04lS5Ykc3Nzun//PvXu3ZsA0N9//02+vr40fvx4AkAzZ86k+/fv06JFi/j/165dS46OjqStrU2fP38mIqI2bdpQmTJlaPXq1bRw4UIyMTGhzp0707dv32jv3r2kpaVFjRo1or1799K3b99UfCYYDOXI7tozc+ZMAkAjR46kTZs2kZOTE+np6dHbt28pISGBihUrRqVLl6a1a9fSqlWryNTUlFxdXRXOCR8fH7k5d/nyZSLKel4REe3cuZMAkJmZGU2cOJGOHz+uylP1W8CEMqPIcurUKQJAa9euJSKi+Ph4OnjwIPn4+MgJ5cGDB5O2tjZ9/PiRf+7YsWNJIBBQYGAgL5THjBnDPx4SEkKampo0aNAgIiKqWLEiDRgwgCIiIigiIoLev39POjo6NHny5EI8YgajYLl16xYBoNWrV/PbHj16RADIw8ODVqxYQQDo3bt3RER05MgRAkA3btwgIqJJkyaRQCCgJ0+eEBHRu3fv6ODBg/Tx40f63//+RwDowoUL/LxZs2YNASA/Pz8iItLT06OBAwcW4hEzGPknu2uPnp4e9erVi9/3zZs31KRJEzp58iR9+PCBJk+eTHfv3uUf79KlC9nY2PD/Z5wTGedcTvNKJpTHjRv3c08Cg4eFXjCKLM2bN0fNmjUxfvx4WFtbY9iwYdDS0kLVqlXl9vP19UXt2rVRvHhxfpubmxukUikePXrEb2vWrBn/d6lSpVC7dm34+fnh69evePnyJfbs2QMLCwtYWFjAxsYGiYmJ8PX1/fkHymD8JGSfXzc3N35bzZo1UbJkSTx8+DDH5w8ZMgSmpqaoUaMGHB0dsWLFCpQrVw7Fixfn51abNm34eTNhwgS512Uw1JGsrj0CgQDx8fFo06YNv6+dnR1u3rwJNzc3lCxZElOmTIGfnx/Gjh2Lxo0b48SJEyAipV9b2XmV3gbGz0WoagMYjKzQ09ODp6cnrl+/jmvXruHs2bM4ePAgFi5cKLefoi8hZbYJBAKIxWJIpVIAwIABA9C/f3+5fUxNTfN7GAyGysjqAq3shbtKlSoIDAzE+fPncePGDRw7dgybNm3CjRs3IJFIAAD79++HpaVlpucxGOpKTtce2TUDSJtLsbGx0NbWRkhICOrUqQNbW1v069cPnTt3xooVKxAQEKD0a+c0ry5evAgAsLCwyO9hMpSEeZQZRZZTp06hZ8+ecHR0xNKlS/H06VOUK1cOZ8+eldvP0dERXl5eCAsL47edPn0aHMehRo0a/LYLFy7wf0dERMDLywv29vYwMjJC8eLF8enTJ7Ro0QItWrRAgwYNsGXLFrx58+bnHyiD8ZNwdHQEkDaXZHh7e+Pjx4+oVatWjs9fvHgxpkyZgp49e2LTpk3w8vKCVCrFhQsXYG9vz+8nmzdSqRTr16+HhoZGwR8Mg1FIZHXtOXr0KEQikVxC6927d2FiYoLjx4/jxIkTiImJwcGDBzFp0iQ0b94cUVFRuXptNq+KHsyjzCiyWFpa4vjx4/j8+TMGDBiA4OBgBAUFwdXVVU4UT58+HQcPHkTz5s0xYsQIvHr1Cps2bUL//v1hZ2eHkJAQAMCePXugoaEBBwcHbNu2DcnJyXyt2KlTp2LSpEno168fGjdujMOHD+PBgweZvNcMhjrh4uKChg0bYvr06QgPD4eZmRnWrFkDExMTjB8/Hjt37sz2+RoaGtiyZQtSU1PRqFEjXL9+HQBQvXp1uLq6onr16hg9ejTev38PbW1tLF26FE5OTry3y8DAAPfu3cOuXbvQtWtXGBgY/PRjZjDyS1bXnmHDhqFx48ZYu3YtDAwMUKVKFaxevRolS5ZE+/bteWfMjBkz0LZtW1y/fh2PHj2Cvr4+rl27hubNm2c5J3bt2oXk5GS0bNkyx3nFKGRUGB/NYOTIgQMHyMHBgbS1talEiRI0YcIESkpKkkvmIyLy9PSkevXqkaamJllaWtK0adMoOTmZiH5UvVi6dCk1bdqUtLS0yNramg4cOCD3WmvWrCFra2vS1tamevXq0e3btwv1WBmMn0FsbCwNHz6cjI2NSUdHh1xdXenVq1dERDkm84nFYpo1axZZW1uTlpYWVapUiTZs2MCPHRERQT179iR9fX0yMzOjQYMGUXR0NP/4ypUrSV9fn7S0tCg4OLjQjpnByC9ZXXtSU1Np9uzZZGlpSfr6+uTi4kJPnz4lIiKJREKjRo0iIyMjsrS0pB49etDff/9NhoaGfOJ4xjmRkJBATZo0IaFQSG3atCGi7OeVLJnPy8tLNSfmN4QjykWUOYOhhty8eRMuLi44cuQIXyeWwWAwGAwGIydYjDKDwWAwGAwGg6EAJpQZDAaDwWAwGAwFsNALBoPBYDAYDAZDAcyjzGAwGAwGg8FgKIAJZQaDwWAwGAwGQwFMKDMYDAaDwWAwGApgQpnBYDAYDAaDwVAAE8oMBoPBYDAYDIYCmFBmMBgMBoPBYDAUwIQyg8FgMBgMBoOhACaUGQwGg8FgMBgMBTChzGAwGAwGg8FgKOD/6DYiQi5R8XkAAAAASUVORK5CYII=",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "execution_count": 29,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "from ultranest.plot import cornerplot\n",
     "cornerplot(sampler.results)"
@@ -384,20 +280,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "plt.figure()\n",
     "plt.xlabel(xlabel)\n",
@@ -443,30 +328,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0, 0.5, 'Posterior probability')"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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WjR49Wk899ZTatGmjdevWaeLEiZo0aZK6dOmiDRs2sGgAAABAM1SnwV6zZ8/W3LlzVVhYKEny9/fXtGnT9OSTTzq1n1//+tf65JNPat22Y8eOuoQHAACAJsTpgvWFF17QE088oUGDBum2226TMUZr1qzRzJkzFRQUpMmTJ7sjTgBwC3fMNAAAcC2nC9b58+dr+PDhWrFiha1t7NixGj58uBYuXEjBCqBRcNdMAwAA13P6qnzkyBFde+21Ndqvu+46rVq1yiVBAYC7uWumAQCA6zldsMbFxemNN97QuHHj5O19ZtqX0tJSvf7664qLi3N5gADgLs7ONPDzIQMMIQCA+uF0wTpv3jzdcsst6tChg26++WZJ0qZNm3Ts2DGtX7/e5QECQEOrbfiAxBACAKgPTl9lExMTlZGRoZkzZ2rt2rUyxqhr165atmwZE/sDaJJqGz4gMYQAAOqDUwVraWmpoqKitGDBAmVmZrorJgDNlCd/5O6KhQqy88spegGgDpwqWH18fNS5c2dlZGRoxIgR7ooJQDPTHD5yz84vV/yyb1VUYWps829pUdbIThStAFALp/8KjB8/XpMnT9bQoUOVlJSk8PBwu+3Dhg1zWXAAmofm8JF7bkmFiiqMlidFKj7E29aelVem5PRDyi2paBLnCQDu4HTBWr1M65o1a7RmzRq7bRaLRZWVla6JDECz4oqP3BuD+BBv9YhwbilrAGjunC5YN2/e7I44AAAAgHNyumDt06ePJCk7O1t79uxRRUWF4uPjddlll7k8OAAAAMDpgrWkpESjRo3Su+++K2OMjDGyWCy6+eab9dZbbyk4ONgdcQIAAKCZ8nL2Bx555BH94x//0P3336+NGzcqIyNDkydP1gcffKAxY8a4I0YAAAA0Y07fYX3rrbc0YcIELV682NbWt29fVVRUaOnSpS4NDgAAAHD6DmuLFi0UHx9fo71Dhw4MBwAAAIDLOV2wjhs3Ti+99JKOHTtma8vOztaSJUs0ZcoUlwYHAAAAOD0k4IsvvtD+/fsVExOjuLg4GWO0b98+SdKyZcu0bNkySWfmZN25c6drowUAAECz43TBWlFRoWuuucau7dprr3VZQAAAAMDZWDgAAAAAHs3pMawAAABAfaJgBQAAgEejYAUAAIBHc6pgLS0t1e23366MjAx3xQOgCcnOL9eXPxbbXll5ZQ0dEgCgEXLqoSsfHx/t3r1bW7ZsUWJiortiAtAEZOeXK37ZtyqqMHbt/i0tCvN1+nlPAEAz5vRfjRdeeEFjxoxR69atlZSUpPDwcLvtISEhLgsOQOOVW1Khogqj5UmRig/xtrWH+bZUtLVVA0YGAGhsnC5YBw0apKqqKk2ZMuWcK1tVVla6JDAATUN8iLd6RPg1dBgAgEbM6YL18ccfl8VicUcsAAAAQA1OF6wzZsywfX38+HFJUmhoaJ0Ofvr0aT3yyCN65513JEnDhg3TCy+8oMDAQG3ZskUPPfSQvv76a3Xp0kVLlizRVVddVafjAAAAoPGq07RWr7/+ujp16qSIiAhFREToF7/4hZYtW+b0fiZOnKjXX39d06dP14QJE7R8+XI9+uijOnr0qG699VZZLBYtWLBAp0+f1oABA3TixIm6hAsAAIBGzOk7rG+99ZaSk5PVrVs3PfbYYzLGaO3atRozZoxatGihESNGOLSfY8eOafny5Zo2bZoef/xxSdKJEyeUlpamyy67TPn5+VqxYoXi4+PVvXt3XXPNNVq9erXGjBnjbMgAUO9+PoUXU3oBQN05XbCmpqYqKSlJ69ats41lfeqppzRgwADNmjXL4YI1KytLlZWV6t27t62tffv2Ki0tVUZGhmJjYxUfHy9J6tWrl0JCQpSZmVlrwVpaWqr8/HxJUn5+vnx8fOTj4+Ps6QHARQnzbSn/lhYlpx+qsY0pvQA0d3Wt15weEvD9999r0KBBdg9eWSwWDR48WAcPHnR4P1deeaWysrLUr18/SVJZWZlWrlyp8PBwHT16VDExMXb9o6OjlZOTU+v+5syZo6ioKElSVFSU5syZ48xpAYBLRFtbKWtkJ31xb4car6yRnZjSC0CzVtd6zemCNTY2VuvWravRvm7duhpF5vkEBgYqLi5O/v7+Kisr0+jRo7Vjxw794Q9/UEFBgfz87KfBCQgI0KlTp2rdX0pKiq2gzcnJUUpKisOxAIArRVtbqUeEX40XxSqA5q6u9VqdhgSMGDFCV111lW699VZJ0tq1a7V9+3alpaU5uzsdOnRId911lz755BPdd999mjJlipYvX67i4mK7foWFhQoODq51Pz4+PrJarZIkq9XKcAAAAAAPU9d6zemCdfjw4SovL9eMGTM0a9YsSWc+rl+6dKmSk5Od2tf+/ft100036ejRo/rTn/6kRx99VNKZsax79+6165uTk6MuXbo4Gy6AepCdX67ckgq7Nh4yAgC4Sp1G/48cOVIjR47U6dOnZYxRUFCQ0/swxujuu+/WiRMntGnTJt144422bYmJiVq7dq327dunuLg4bdu2TcePH1diYmJdwgXgRtn55Ypf9q2KKkyNbTxkBABwBYf+ksyfP1+33nqrOnfurPnz59faz2KxaPLkyQ4dePPmzdq+fbuSkpL0ww8/aPny5bZtd955p1JTU5WcnKxx48Zp0aJFCg0N1ZAhQxzaN4D6k1tSoaIKo+VJkYoP8bbbFubbknGbAICL5lDBOnXqVF1yySXq3Lmzpk6dWms/ZwrWHTt2SJLS09OVnp5ut+3AgQNat26dJk6cqEmTJqlLly7asGGD2rRp49C+AdS/+BBv9Yjwu3BHAACc5FDBeuDAAYWHh6uiokLbt29XRUWFwsLCLurAU6ZM0ZQpU2rdHhsbaytqAQAA0Hw5VLBWT1dljNF1112nhQsXauzYsW4NDAAAAJCcnIfVYrFo2LBhWr58ucrKeAIYAAAA7uf047vR0dG2RQJuvPFGhYeH27ZZLBY9//zzLg0QAAAAzZvTBevs2bNtX7/11lt22yhYAaBuzjVvLbMsAMAZThesVVVV7ogDAJqlMN+W8m9pUXL6oRrb/FtalDWyE0UrgGavTjN65+Tk6IUXXtCuXbs0d+5cffvtt7riiivUsWNHV8cHAE1atLWVskZ2OudKYcnph5RbUkHBCqDZc7pg/eabb9S7d2+VlJSopKRE06dP1z/+8Q/dd999Sk9P17XXXuuOOAGgyYq2tqIoBYDzcGqWAEn63e9+p4SEBGVlZcmYM0sxpqWl6eqrr9a0adNcHiAAAACaN6cL1s8//1zJyckKCAiwtfn6+uruu+9mon8AAAC4nNMFa2RkpL755hvb9xaLRZL073//226KKwAAAMAVnB7D+vTTT2vkyJHKy8uTxWLRsmXL9Oyzz2rjxo1MaQUAAACXc7pgveeee+Tl5aXU1FQZY5SWlqZ27dpp/vz5mjhxojtiBAAAQDPmdMGanZ2twYMH66677tLp06dVVVUlq9Wq06dP69ChQ4qMjHRHnADQLP18QQEWEwDQHDldsHbo0EHLly/X8OHDFRgYaGt/9913NWHCBBUVFbk0QABojmpbUIDFBAA0Rw4XrPfdd58kyRijv/71r9q0aZPd9o8//litWnEBBQBXONeCAiwmAKC5crhgffvtt2WxWGSxWLR161Z98cUXdtuDgoKUmprq8gABoLliQQEAOMPhgvX06dOSJC8vL/3973/Xvffe67agAAAAgGpOj2E9cOCAIiIiZIyRxWLRyZMntW3bNsXFxSkqKsodMQIAAKAZc3rhAGOMbrjhBr3zzjs6fPiw4uPjdcsttyguLk7//ve/3REjAAAAmjGnC9aHHnpIBw4cUIcOHfTXv/5Vp06d0rJly9S9e3c98cQT7ogRAAAAzZjTBetHH32kadOm6corr1RmZqaGDBmi5ORkjR49Wtu3b3dHjAAAAGjGnB7D2qJFCwUEBOjEiRPatm2bfvvb30qSjhw5Ij8/P5cHCKBhZOeX202pJDFpPQCgYThdsCYmJmrGjBlavHixJOnWW2/VCy+8oLlz5+r22293eYAA6l92frnil32rogpj186k9QCAhuB0wbp48WIlJyfr+PHj+tvf/qbIyEht3bpVN954oxYsWOCOGAHUs9ySChVVGC1PilR8iLckJq0HADQcpwvWiIgIbdy40a5t+fLlLgsIgOeID/FWjwiG+gAAGpbTD11J0pYtW5SYmKigoCAFBQXppptu0ocffuji0AAA55KVV6Yvfyy2e2Xnlzd0WADgNk7fYc3MzFT//v0VFhamIUOGyBijDz74QP369dOGDRt08803uyNOAGj2wnxbyr+lRcnph2psY3wxgKbM6YL10Ucf1dVXX62MjAzbrADFxcXq27evpk2bph07djgdxJgxY7R582Z9//33travvvpK48eP15dffqnY2FjNnz9fSUlJTu8bAJqKaGsrZY3sVGP2BsYXA2jqnB4SkJWVpREjRthNYeXn56fk5GTt27fP4f2UlZUpKytLjz32mNLS0uy2FRcXa+DAgTp06JDmzZunNm3aaMiQIdq/f7+z4QJAkxJtbaUeEX52r+oH4wCgqXK6YG3Xrp0+/fTTGu2ffvqp2rZt6/B+/v3vfyshIUFz5syRMfZT57z//vs6ePCglixZogkTJujtt99WZWUlD3cBAAA0Q04PCZg8ebImTZqkoqIi/eY3v5EkrVmzRu+9956ee+45h/fTo0cPbdq0SZKUnJxsty0jI0M+Pj5KTEyUJEVGRqpr167KzMzUzJkznQ0ZAAAAjZjTBevDDz+skydP6tlnn9Xq1aslSb6+vnr88cc1ZcoUh/cTEhKifv362X7+bD/88IMuueQSeXv/92OumJiY8y79Wlpaqvz8fElSfn6+fHx85OPj43A8ANAUsWIZAE9S13qtTtNaPfnkk8rNzdWuXbu0c+dOHT9+XLNmzarLrs6poKCgxjKvAQEBOnXqVK0/M2fOHEVFRUmSoqKiNGfOHJfFAwCNUfWKZT1fP2D3il/2LdNgAWgQda3XHL7D+sUXXygtLU3/93//p9DQUN12221uW4o1KChIxcXFdm2FhYUKDg6u9WdSUlI0duxYRUVFKScnR+Hh4W6JDQAaC1YsA+Bp6lqvOVSwvvXWWxoxYoSqqqpsbStWrNC4ceP04osv1i3i82jfvr02bNigsrIy27CA7OxstW/fvtaf8fHxkdVqlSRZrVaGAwDA/8eKZQA8RV3rNYeGBMyaNUvx8fHavn27ysrK9M0332jAgAH629/+piNHjtQ96lokJiaqtLRUmZmZkqTDhw9r165dtoewAAA1/XwFrKy8soYOCQBcwqE7rPv379eSJUvUrVs3SVKnTp30wgsvqGPHjvr222/Vrl07lwZ1yy23KCYmRg8++KCmTZumFStWyMvLq8ZsAgCAC6+AFebr9PO1AOBRHLqKVVRUyN/f366t+nZuebnrB+77+flp/fr1Gj9+vCZPnqzY2FitWbNGl112mcuPBQCNXW0rYEnMCACgaXD4v90Wi8WpdmecvSRrtYSEBG3ZsuWi9w0AzUG0tRWFKYAmy+GC9emnn9bSpUtt35eXl8tisWjKlClq06aNpDPFa0ZGhuujBAAAQLPlcMGalZWlrKysGu07d+60fe2Ku60AAADA2RwqWM+ezgoAAACoT3Va6QoAAACoLxSsAAAA8GhMzgcAkCRl55czNRYAj0TBCjRz5ypSWCGp+cnOL1f8sm9VVGFqbPNvaVHWyE4UrQAaDAUr0IxdqEhhhaTmI7ekQkUVRsuTIhUf4m1rz8orU3L6IeWWVFCwAmgw/DUCmrHaihSp9o+Bf373lbuxTUt8iLd6RPg1dBgAYIeCFYBDRQrr1QMAGgp/YQA4hPXqAQANhYIVgMNYrx4A0BCYhxUAAAAejTusQDPB9FUAgMaKghVoBpi+CgDQmPFXCmgG6jJ9FZo2picD0JhQsALNCHNswlXTk7GMK4D6RMEKAM2IK6YnYxlXAPWNghUAmpmLnZ6MZVwB1DcKVgBAnTDEBEB9YR5WAAAAeDQKVgAAAHg0ClYAAAB4NMawAgDc7lzTYDEFFgBHUbACANyqtmmwmAILgKMoWAEAbnWuabCqp8D66HCR4ktYfQ3A+VGwAk3Qzz9+ZdlNeIKzp8G60IpbKwdFKdy/hV07hSzQfHl0wVpQUKDx48dr3bp1CggI0JQpUzRt2rSGDgvwaOf7+NXRZTcBd6ttxa2fiio1bG2OklZn1/gZhhAAzZdH//UaO3as3nvvPc2cOVNZWVmaPn262rZtq5EjRzZ0aIBHONeDLFl5ZedchYi7U/A0ta24da5CllW0gObNYwvWvLw8vfPOO5o6daqmT5+uqqoqbdu2TX//+98pWAFdeD336y/15w87GsTPh6A4OyTF2aVjnZmB4Fx9z9cfgGfw2IJ18+bNqqqq0sCBAyVJXl5e6t+/vxYvXqzi4mL5+bEcYF2UlpZqzpw5SklJkY+PT0OH47EaMk+O/vGtbT332vq7A+8nxzX2XJ1ddNZWgF5oXKojQ1IulKefH7t6CMG5hsD8fBxsbX2r+zem4QaN/f1UX8iTYxpDnizGmJq/uR7g+eef16RJk3TgwAHFxsbW2lattLRUP/74o6Kjo/XVV18pLCys3pJ+tLBcR4tq/o/dExWeLtLAgUlavz5dAYH+DR2Ox2qoPOUWVSo5/ZCKK+1/Lf1aWLQ8KVJhZ/3x/fpEmcZ/cET/ujNG3cMb5j9w+fn5ioqKUk5OjqxWa4PE0Fg01lzl5Jfrqje+O+d7ctvwXyjqZwVeTn65jpfWvB6G+rSs0fdcastTbXFUx3L270dtv0fn6iv993fppX7t1LmNd42f8URcyx1DnhxTeLpIA6+/Ujlf7XT79am0tFS5ublKSEhQdna2IiIiHKvXjId66qmnjCRz9OhRW9vSpUuNJLNjx44a/VNTU40kXrx48eLFixcvXo3klZqa6lBd6LFDAoKCgiRJxcXFtrbCwkJJUnBwcI3+KSkpmjRpko4cOaLAwED5+vp67G3thtRY7/LUN/LkGPLkOHLlGPLkGPLkGPLkmPrMU2lpqUpKSnT69Gm1a9fO4SGeHluwtm/fXpKUnZ1t+/g/OztbrVq1Utu2bWv09/HxkY+Pj1q3bl2PUTY+Pj4+Sk1NVXh4OAX9eZAnx5Anx5Erx5Anx5Anx5AnxzSGPHnsGNa8vDyFh4dr2rRpmjt3rqqqqtStWzeFhIToX//6V0OHBwAAgHrisXdYQ0JCdMcdd+j5559XWFiYsrKytGfPHqWlpTV0aAAAAKhHHnuHVfrvSldr165VYGAgK10BAAA0Qx5dsAIAAABeDR0AAAAAcD4UrI1QQUGBhg8fLqvVqnbt2um5556rte+WLVt0xRVXyN/fX1dddZW2bdtmtz0tLU0dO3aUr6+vrrrqKm3dutW2bcmSJbJYLHavIUOGuOu0XM5VeSosLJSXl1eNXJw8edLp43giV+Tp+++/r5Gf6teMGTMkSevXr6+xrXv37vVwhq7j7L/16dOnZbVabTk420svvaTo6GgFBgbqtttu008//WTbVl5eroceekht2rRRaGiopk2bpsrKSlefjtu4Mk9co/6rtjxxjbJ3rjw1h2uUM3n67LPP1KtXL/n6+uoXv/iFXnnlFbvtTz31lNq2bavg4GCNHj1aRUVFdTqOS138FP+ob3fddZfx9fU1f/zjH83o0aONJJOWllaj35EjR4zVajVXXHGFefHFF01cXJwJDQ01eXl5xhhjMjMzjSQzdOhQs3DhQnPZZZeZ0NBQU1BQYIwx5oEHHjAxMTHmtddes70+/PDDej3Xi+GqPH322WdGknnmmWfsclFWVubUcTyVK/J0+vRpu9y89tpr5pFHHjGSzMqVK40xxjz77LPG39/frs+6devq+3QviqO5ysvLM5s3bzbXX3/9OSfGXr9+vZFk7rrrLjN//nwTFBRk+vbta9s+ffp0Y7FYzBNPPGGmTp1qJJmZM2e6+/RcxlV54hp1xoXyxDXqjPPlqTlcoxzN04kTJ0zr1q1N9+7dzaJFi8zNN99sJJmPP/7YGGPMkiVLjCQzYcIE88wzz5gWLVqYMWPGOH0cV6NgbWSOHz9uvLy8zPTp040xxlRWVpouXbqYG264oUbfBQsWGEnmq6++MsYY85///MdIMi+//LIxxphBgwaZyMhIU1FRYYwx5pNPPjGSzLJly4wxxvTp08cMGTKkPk7L5VyZp1deecVIMidPnryo43giV+bpbCUlJSYhIcHccccdtrZRo0aZ7t27u+lM3M+ZXI0YMeK8K7ncdtttJioqypSUlBhjjJk7d66RZA4cOGAqKytNSEiIueuuu2z9k5KSTExMjNvOzZVcmSeuUWdcKE9co864UJ7O1tSuUc7k6U9/+pORZPbt22eMMaa4uNhYrVZz3333GWOM6datm7n66qtt/e+//37j6+trioqKGvT9xJCARmbz5s2qqqrSwIEDJUleXl7q37+/Pv30U7tVwSQpIyNDsbGxio+PlyT16tVLISEhyszMlCTt3r1bV199tVq0OLOmdvViDUePHpUk7d27V5dffrmMMXYfBzQGrszTnj17FBERoeDgYBUVFcmc9ZyiM8fxRK7M09nmzp2rgwcP6s9//rOtbc+ePbr88ssl/XfVusbEmVylpKRo06ZN+tOf/lRjP8YYZWZmKjEx0TZB94ABAySdyfH27duVl5dnO0719oMHD+r//u//3HV6LuOqPElco6pdKE9co864UJ7O1tSuUc7kaffu3WrTpo06d+4sSfL19VVYWJiOHj2q3Nxc7dq1q8b1p6SkRJ988kmDvp8oWBuZH374QZIUExNja4uJiVF5ebmOHTtWo+/Z/SQpOjpaOTk5kqRNmzbZ/bK++eabkqSEhAQdO3bM9sYNDw9XQECA+vXrp0OHDrnlvFzNlXnau3evAgMD1bt3bwUEBOjSSy/VmjVrnD6OJ3JlnqqdOnVKCxYs0Lhx4xQRESHpTJGWlZWlo0ePKioqSoGBgerZs6eysrLccVpu4UyuunTpon79+qlnz5419pOfn6+CgoIa+5GknJycWo9Tvd3TuSpPEteoahfKE9eoMy6Up2pN8RrlTJ6eeeYZu+c0PvvsM3333XdKSEjQoUOHZIxx+vpUH+8nCtZGpqCgQJLs1t4NCAiQdOaX8Od9f75Gb0BAgK3fZZddpnbt2kmSVq5cqccff1zdunXTgAEDtHfvXklSSUmJlixZorlz52rLli0aOXKke07MxVyZp7179+rEiRNKTk7WG2+8obCwMN1555367rvvnDqOJ3Jlnqr9+c9/1unTpzV16lRb24EDB1RUVKRTp05p7ty5+vOf/6zvvvtOQ4cOVUVFhUvPyV1c9W99of00p/fUhXCNcgzXKOc0xWuUM3mKjIxUx44dJUlZWVm6/fbbFRgYqIkTJ3r09cljV7rCuQUFBUmS3a336o8ugoODa/T9+S36wsJCu35VVVWaOXOmnnrqKXXo0EGrV6+Wl5eXrrjiCm3fvl2dOnVSYGCgpDMfwy1cuFDHjx9XaGioW87PVVyZp3/+859q06aNoqOjJUnx8fHq3r27Vq1a5dRxPJGr30+S9Oqrr+raa69VZGSkra1t27bavn27oqOjFRISIunMk/CTJk3Szp07L3hHxBO46t/6QvtpTu8pR3CNujCuUc5piteouuRp9erVGj16tMrLy/Xuu+8qJibGNrPEhfbTEO8n7rA2MtVjuLKzs21t2dnZatWqldq2bVuj79n9pDO39Kv3YYxRcnKyZs2apX79+uk///mPYmNjJUk+Pj5q37697Q+BJMXFxUmSfvzxR5efl6u5Kk+VlZWKjIy0fWwk2efBmeN4Ile+n6Qzd3r279+vwYMH2/Vr0aKF2rdvb3dBa0zvJ8m5XJ2P1WpVUFBQjf1UH6O245wdgydz5e8E16gL4xrlnKZ6jXI2T0uWLNGwYcMUGhqqjz76SElJSZJkK+KdvT7Vx/uJgrWR6du3r7y8vLR+/XpJZ+4+bNy4Ub1795aPj49KSkpUXl4uSUpMTNSBAwe0b98+SdK2bdt0/PhxJSYmSpKef/55vfHGG5o4caLS09MVHh5uO87LL7+s8PBwbd++3da2Z88e+fr62v5geDJX5amwsFBt27bVH/7wB9u+9+zZI+nMxex8x/n5x+eeyJXvJ0lKT0+XJF1//fV2x/nggw8UHh6u9957z9Z2dh4bA2dydT4Wi0U33XSTMjIyVFZWJum/eUtMTNQVV1yhkJAQ23Gqt0dHR6tTp05uODPXclWeJK5RjuSJa5Tj7yep6V6jnMnT559/rocffli9e/fWF198oR49etj2ExYWpm7dumnDhg22tvT0dPn6+uq6665r2PeT2+chgMtVz4H23HPPmfvuu882B9rmzZuNJDNq1ChjzH/nzezZs6d58cUXTUJCgt38olFRUSYoKMikpaXZzTu3c+dOk52dbYKDg03nzp3N4sWLzf/8z/+YVq1amUcffbQBz9w5rsrT0KFDjbe3t0lJSTGLFi0yl19+uYmKijJFRUXnPU5j4ao8GWNsP3/s2DG7Y+Tn55vo6GjTrl07M3/+fPP000+bwMBAc/vtt9fnqV40R3NVrbq9tnlY77nnHrNgwQJjtVrPOQ/rk08+aaZPn95o52G92DxxjRpl17+2PHGNGmXXv7Y8GdO0r1GO5um3v/2tkWRmz55t93u1ceNGY8x/52F98MEHzezZs03Lli3POQ9rfb+fKFgbofz8fHPPPfeYwMBAc8kll5hnn33WGGPO+cv70UcfmW7duhlfX1/Ts2dP89lnnxljzszZprPmqzv7Vf1LvnXrVtOnTx8TGBhowsLCzGOPPWYqKyvr+3TrzBV5MsaYkydPmgceeMC0a9fO+Pr6mn79+pmDBw9e8DiNhavyZIwx1113nQkICDjncfbt22cGDRpkWrdubYKDg8348eNNcXGx287LHZzJ1dnt5/rD+de//tVERUUZf39/85vf/Mb8+OOPtm1lZWXmwQcfNK1btzYhISHm0Ucftc1F2hi4Ik9coxx/P3GNGmXX/3y/d035GuVonrp27XrO36s+ffrY9jVz5kwTERFhgoKCzKhRo0xhYeEFj+NuFmPOmrANAAAA8DCMYQUAAIBHo2AFAACAR6NgBQAAgEejYAUAAIBHo2AFAACAR6NgBQAAgEejYAUAAIBHo2AFAACAR6NgBYB6Fhsbq0GDBjV0GADQaLRs6AAAoLlZuHChWrdu3dBhAECjwdKsAAAA8GgMCQAAN3n11VfVpUsX+fr6qmPHjlq0aJGkmkMCMjIyFB8fLz8/P916661KSUmRxWLR999/rw8//FAWi0V/+9vfdN1118nPz0833XSTDhw4oOTkZAUEBCg2NlZvv/22bX+7du1S//79FRwcrNatW2vIkCE6dOhQvZ8/ALgKBSsAuMEnn3yiMWPGKD4+XosWLVKXLl30yCOP6J///Kddvx07duiWW25RYGCgFi5cKD8/Py1cuLDG/lJSUjRgwAA98MAD2rx5s7p166YWLVroj3/8oyoqKnTfffeptLRUxcXF6t+/v77++ms9/fTTevLJJ/XRRx9pzJgx9XTmAOB6jGEFADfIzc2VJPXp00fjx49XcnKy3nvvPUVHR9v1mz9/vry9vZWenq7Q0FD9/ve/17XXXqtPP/3Urt+ECRP0xBNPSJLtbuqrr74qi8WiU6dO6YknnlB2drb8/f2VnJysoUOH6rrrrpMkffzxx/ryyy/dfcoA4DbcYQUAN0hMTFTPnj318MMPKyoqSmPHjpWPj49+9atf2fXbtWuXrrzySoWGhtra+vXrV2N/v/zlL21fBwcHq0OHDrJYLJKkkJAQSVJpaakiIyM1depU7d69WxMnTtQNN9ygVatWiccVADRmFKwA4AYBAQHaunWrNm7cqBEjRmjXrl0aNmyYZs+eXaOvl5f9pbiqquqCfc7+vrpwlaT9+/crPj5eS5cuVceOHZWamqr+/ftf7OkAQIOiYAUAN1izZo3uvvtude3aVXPnztWuXbvUqVMnrV271q5fXFycPv/8c+Xl5UmSjDF6//3363zcVatW6eTJk3rjjTc0efJkJSYm6vjx4xd1LgDQ0BjDCgBuEBERoZUrV+rHH3/UyJEjlZ2drYMHD+rmm2/WkSNHbP0mTJigt99+W/3799fo0aOVmZmp/fv31/m4MTExks48pDVw4EBlZmbq888/V2BgoDIyMpSYmHjR5wYA9Y07rADgBr1799aKFSuUl5enhx56SH//+9/1wAMPaMGCBXb9+vTpo9dff125ubmaNm2avL299cgjj0iSvL29nT7unXfeqQkTJigjI0OPPfaYKioqtGDBAnl5eWn58uUuOTcAqG8sHAAADeiTTz7R7t279bvf/U4tW5750Ov3v/+9XnvtNRUWFtqNTwWA5oohAQDQgI4dO6b7779fGRkZGjBggL7++mu9+uqrGjNmDMUqAPx/3GEFgAb2l7/8RYsWLdL333+vdu3a6Y477tCMGTPk7+/f0KEBgEegYAUAAIBH46ErAAAAeDQKVgAAAHg0ClYAAAB4NApWAAAAeDQKVgAAAHg0ClYAAAB4NApWAAAAeDQKVgAAAHi0/wdp5OUrl9oBAwAAAABJRU5ErkJggg==",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "scatter_samples = result['weighted_samples']['points'][:,2]\n",
     "weights = result['weighted_samples']['weights']\n",
@@ -491,27 +355,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "(1186, 30)"
-      ]
-     },
-     "execution_count": 32,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "result['weighted_samples']['bootstrapped_weights'].shape"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -520,20 +373,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "plt.figure()\n",
     "bins=np.linspace(0.01, 0.2, 64+1)\n",
@@ -601,7 +443,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -639,49 +481,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[ultranest] Sampling 400 live points from prior ...\n",
-      "[ultranest] Widening roots to 457 live points (have 400 already) ...\n",
-      "[ultranest] Sampling 57 live points from prior ...\n",
-      "[ultranest] Widening roots to 520 live points (have 457 already) ...\n",
-      "[ultranest] Sampling 63 live points from prior ...\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "edbc65e2aed04b56b395d92f59895bde",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "VBox(children=(HTML(value=''), GridspecLayout(children=(HTML(value=\"
&nb…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[ultranest] Explored until L=2e+01  21.9772..21.9772]*| it/evals=4576/6329 eff=76.7086% N=400     0 0 \n",
-      "[ultranest] Likelihood function evaluations: 6374\n",
-      "[ultranest]   logZ = 15.1 +- 0.0855\n",
-      "[ultranest] Effective samples strategy satisfied (ESS = 1620.4, need >400)\n",
-      "[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.46+-0.08 nat, need <0.50 nat)\n",
-      "[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.09, need <0.5)\n",
-      "[ultranest]   logZ error budget: single: 0.12 bs:0.09 tail:0.01 total:0.09 required:<0.50\n",
-      "[ultranest] done iterating.\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "sampler0 = ultranest.ReactiveNestedSampler(parameters0, log_likelihood0, prior_transform0)\n",
     "result0 = sampler0.run()"
@@ -701,18 +503,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "AIC of constant model: -41\n",
-      "AIC of line model    : -80\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "Lmax0 = result0['weighted_samples']['logl'].max()\n",
     "AIC0 = -2 * Lmax0 + len(parameters0)\n",
@@ -746,7 +539,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -755,7 +548,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -766,38 +559,7 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[ultranest] Sampling 400 live points from prior ...\n",
-      "[ultranest] Widening roots to 413 live points (have 400 already) ...\n",
-      "[ultranest] Sampling 13 live points from prior ...\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "58fcef30127e463ab57f0bb4bb632a2a",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "VBox(children=(HTML(value=''), GridspecLayout(children=(HTML(value=\"
&nb…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Z=12.5(0.00%) | Like=22.41..40.30 [14.7169..22.4322] | it/evals=2993/6028 eff=53.0721% N=400 0   0 0   \r"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "Kpredicts = []\n",
     "\n",
diff --git a/_sources/example-warmstart.ipynb.txt b/_sources/example-warmstart.ipynb.txt
index 054ecff6..9c34227d 100644
--- a/_sources/example-warmstart.ipynb.txt
+++ b/_sources/example-warmstart.ipynb.txt
@@ -16,7 +16,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -62,7 +62,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -72,7 +72,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -98,20 +98,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "plt.figure(figsize=(10, 5))\n",
     "plt.errorbar(x=wavelength, y=y_obs, yerr=sigma, marker='x', ls=' ')\n",
@@ -139,7 +128,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -152,20 +141,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "plt.figure(figsize=(10, 5))\n",
     "plt.title(\"Prior predictive checks\")\n",
@@ -191,7 +169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -203,57 +181,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[ultranest] Sampling 400 live points from prior ...\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "74a0712aa182456fa12822d7251d85ef",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "VBox(children=(HTML(value=''), GridspecLayout(children=(HTML(value=\"
&nb…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[ultranest] Explored until L=2e+02  7 [173.9047..173.9128]*| it/evals=6080/46921 eff=13.0694% N=400    400  400 400 \n",
-      "[ultranest] Likelihood function evaluations: 46953\n",
-      "[ultranest] Writing samples and results to disk ...\n",
-      "[ultranest] Writing samples and results to disk ... done\n",
-      "[ultranest]   logZ = 159.8 +- 0.1527\n",
-      "[ultranest] Effective samples strategy satisfied (ESS = 981.1, need >400)\n",
-      "[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.46+-0.06 nat, need <0.50 nat)\n",
-      "[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.43, need <0.5)\n",
-      "[ultranest]   logZ error budget: single: 0.19 bs:0.15 tail:0.41 total:0.43 required:<0.50\n",
-      "[ultranest] done iterating.\n",
-      "\n",
-      "logZ = 159.705 +- 0.538\n",
-      "  single instance: logZ = 159.705 +- 0.186\n",
-      "  bootstrapped   : logZ = 159.775 +- 0.353\n",
-      "  tail           : logZ = +- 0.406\n",
-      "insert order U test : converged: True correlation: inf iterations\n",
-      "\n",
-      "    Temperature         : 0.00945│ ▁▁▁▁▁▁▁▁▂▂▂▂▄▅▄▅▅▇▇▅▆▅▅▃▃▂▂▂▁▁▁▁▁▁▁ ▁ │0.01035    0.00989 +- 0.00012\n",
-      "    Amplitude           : 37.2  │ ▁▁▁▁▁▁▁▂▂▃▃▅▄▅▆▆▇▇▆▆▄▄▃▃▂▂▁▁▁▁▁▁▁▁▁▁▁ │59.7      47.4 +- 2.7\n",
-      "\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "from ultranest import ReactiveNestedSampler\n",
     "\n",
@@ -272,20 +202,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "plt.figure(figsize=(10, 5))\n",
     "plt.errorbar(x=wavelength, y=y_obs, yerr=sigma, marker='x', ls=' ')\n",
@@ -310,7 +229,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -336,7 +255,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -352,7 +271,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -371,45 +290,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[ultranest] Sampling 400 live points from prior ...\n"
-     ]
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0eb4138742fd484683ad88f6385be5fa",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "VBox(children=(HTML(value=''), GridspecLayout(children=(HTML(value=\"
&nb…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[ultranest] Explored until L=2e+02  5 [169.4613..169.4636]*| it/evals=1600/5358 eff=32.2711% N=400 \n",
-      "[ultranest] Likelihood function evaluations: 5393\n",
-      "[ultranest]   logZ = 166.7 +- 0.0473\n",
-      "[ultranest] Effective samples strategy satisfied (ESS = 763.2, need >400)\n",
-      "[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.45+-0.08 nat, need <0.50 nat)\n",
-      "[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.41, need <0.5)\n",
-      "[ultranest]   logZ error budget: single: 0.08 bs:0.05 tail:0.41 total:0.41 required:<0.50\n",
-      "[ultranest] done iterating.\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "sampler = ReactiveNestedSampler(aux_paramnames, aux_log_likelihood, aux_prior_transform, vectorized=vectorized)\n",
     "res = sampler.run(frac_remain=0.5)"
@@ -417,20 +300,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "plt.figure(figsize=(10, 5))\n",
     "plt.errorbar(x=wavelength, y=y_obs, yerr=sigma, marker='x', ls=' ')\n",
@@ -460,17 +332,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Speed-up of warm-start: 770%\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "print(\"Speed-up of warm-start: %d%%\" % ((results_ref['ncall'] / res['ncall'] - 1)*100))"
    ]
@@ -530,20 +394,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "posterior_samples = results_ref['samples']\n",
     "\n",
@@ -563,7 +416,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -573,20 +426,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "plt.subplot(2, 1, 1)\n",
     "plt.plot(uguess, pguess[:,0])\n",
@@ -607,7 +449,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -616,7 +458,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -625,17 +467,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "100%|████████████████████████████████████| 6505/6505 [00:00<00:00, 12544.08it/s]\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "nparams = len(parameters)\n",
     "u = np.ones(nparams) * 0.5\n",
@@ -670,20 +504,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "
"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "weights = results_ref['weighted_samples']['weights']\n",
     "i = np.random.choice(len(weights), p=weights, size=1000)\n",
@@ -719,7 +542,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -736,26 +559,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "# weight logl Temperature Amplitude\n",
-      "0.000154 0.000000 0.009828 0.584218\n",
-      "0.000154 0.000000 0.009933 0.582950\n",
-      "0.000154 0.000000 0.009911 0.583998\n",
-      "0.000154 0.000000 0.010134 0.580971\n",
-      "0.000154 0.000000 0.009717 0.585696\n",
-      "0.000154 0.000000 0.009823 0.584407\n",
-      "0.000154 0.000000 0.009729 0.585907\n",
-      "0.000154 0.000000 0.009938 0.582713\n",
-      "0.000154 0.000000 0.009849 0.582950\n"
-     ]
-    }
-   ],
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "!head custom-weighted_post_untransformed.txt"
    ]
diff --git a/debugging.html b/debugging.html
index ead5fb9c..6404f9ea 100644
--- a/debugging.html
+++ b/debugging.html
@@ -307,7 +307,7 @@ 
Measuring implementation speed
 
-1.86 µs ± 96.3 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)
+2.7 µs ± 479 ns per loop (mean ± std. dev. of 7 runs, 1,000,000 loops each)
 

 

 

@@ -324,7 +324,7 @@ 
Measuring implementation speed
 
-713 µs ± 17.7 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)
+710 µs ± 74.1 µs per loop (mean ± std. dev. of 7 runs, 1,000 loops each)
 

 

 
Here we see that the prior transform is very quick: one evaluation per microsecond. But the likelihood is much slower, with one evaluation per ms. That means for a million samples, we already have to wait 15 minutes.

@@ -382,7 +382,7 @@ 
Looking inside a interrupted run
 

 

-

+
@@ -409,7 +409,7 @@

Looking inside the current parameter space 
--257.2310492360742
+-244.51110342660772

Lets see the distribution of live points in the parameter space:

@@ -556,7 +556,7 @@

Parallelisation issuesDebugging step sampler quality

Run with nsteps=1, 2, 4, 8, 16, 32, 64 … steps and look where the log(Z) value stabilizes.

diff --git a/example-intrinsic-distribution.html b/example-intrinsic-distribution.html index 8ad27738..da660736 100644 --- a/example-intrinsic-distribution.html +++ b/example-intrinsic-distribution.html @@ -310,7 +310,7 @@

Solving the problem
-
+
@@ -383,7 +383,7 @@

Solving the problem

-
+
@@ -453,7 +453,7 @@

Solving the problem 
-/tmp/ipykernel_831625/3744159922.py:7: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
+/tmp/ipykernel_862778/3744159922.py:7: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
   print('scatter is < %.4f km/s at 3 sigma (%.3f%% quantile)' % (scipy.stats.mstats.mquantiles(scatter_samples, quantile), quantile*100))

@@ -501,7 +501,7 @@

Next<

  • Continue with the other tutorials and explore other UltraNest features

    • diff --git a/example-line.html b/example-line.html index a9c299ba..a001921e 100644 --- a/example-line.html +++ b/example-line.html @@ -177,7 +177,7 @@

    Tutorial: fitting a line

    Lets plot the data first to see what is going on:

    -
    [20]:
+
    [2]:
 
    
 
    
 
    %matplotlib inline
@@ -197,8 +197,7 @@ 
    Visualise the data
 
    
 
    
-_images/example-line_3_0.png
-
    
+_images/example-line_3_0.svg
    @@ -212,7 +211,7 @@

    Data properties

    We could also represent each data point by a cloud of samples. Each point represents a possible true solution of that galaxy.

    -
    [23]:
+
    [3]:
 
    
 
    
 
    samples = []
@@ -244,7 +243,7 @@ 
    Resampling the data
-
    [23]:
+
    [3]:
 
    
 
    
 
    
@@ -256,11 +255,10 @@ 
    Resampling the data
 
    
 
    
-_images/example-line_5_1.png
-
    
+_images/example-line_5_1.svg
    
 
    
 
    
-
    [24]:
+
    [4]:
 
    
 
    
 
    samples.shape
@@ -268,7 +266,7 @@ 
    Resampling the data
-
    [24]:
+
    [4]:
 
    
 
    
 
    
@@ -291,7 +289,7 @@ 
    Model
 
    Lets write down prior ranges for these parameters:
    
 
    
-
    [25]:
+
    [5]:
 
    
 
    
 
    parameters = ['slope', 'offset', 'scatter']
@@ -319,7 +317,7 @@ 
    Model
 
    Define the likelihood, which measures how far the data are from the model predictions. More precisely, how often the data would arise under the given parameters.
    
 
    
-
    [26]:
+
    [6]:
 
    
 
    
 
    import scipy.stats
@@ -347,7 +345,7 @@ 
    Model
 
    Solving the problem
    
 
    
-
    [27]:
+
    [7]:
 
    
 
    
 
    import ultranest
@@ -358,7 +356,7 @@ 
    Solving the problem
-
    [28]:
+
    [8]:
 
    
 
    
 
    result = sampler.run(min_num_live_points=50, min_ess=100) # you can increase these numbers later
@@ -372,33 +370,31 @@ 
    Solving the problem
     [ultranest] To achieve the desired logz accuracy, min_num_live_points was increased to 64
 [ultranest] Sampling 64 live points from prior ...
-[ultranest] Widening roots to 65 live points (have 64 already) ...
-[ultranest] Sampling 1 live points from prior ...
 
    
 
    
 
    
 
    
 
    
 
    
-
    
+
    
 
    
 
    
 
    
 
    
 
    
 
    -[ultranest] Explored until L=4e+01  41.4092..41.4608] | it/evals=1116/2721 eff=41.9804% N=64
-[ultranest] Likelihood function evaluations: 2734
-[ultranest]   logZ = 28.69 +- 0.3423
-[ultranest] Effective samples strategy satisfied (ESS = 313.8, need >100)
-[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.43+-0.16 nat, need <0.50 nat)
-[ultranest] Evidency uncertainty strategy wants 62 minimum live points (dlogz from 0.27 to 0.81, need <0.5)
-[ultranest]   logZ error budget: single: 0.42 bs:0.34 tail:0.01 total:0.34 required:<0.50
+[ultranest] Explored until L=4e+01
+[ultranest] Likelihood function evaluations: 2783
+[ultranest]   logZ = 28.84 +- 0.2952
+[ultranest] Effective samples strategy satisfied (ESS = 310.6, need >100)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.46+-0.17 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy wants 62 minimum live points (dlogz from 0.24 to 0.64, need <0.5)
+[ultranest]   logZ error budget: single: 0.41 bs:0.30 tail:0.01 total:0.30 required:<0.50
 [ultranest] done iterating.
 
    
 
    
 
    
-
    [29]:
+
    [9]:
 
    
 
    
 
    from ultranest.plot import cornerplot
@@ -407,22 +403,20 @@ 
    Solving the problem
-
    [29]:
+
    [9]:
 
    
 
    
 
    
-_images/example-line_16_0.png
-
    
+_images/example-line_16_0.svg
    
 
    
 
    
 
    
 
    
 
    
-_images/example-line_16_1.png
-
    
+_images/example-line_16_1.svg
    
 
    
 
    
-
    [30]:
+
    [10]:
 
    
 
    
 
    plt.figure()
@@ -459,8 +453,7 @@ 
    Solving the problem
 
    
 
    
-_images/example-line_17_0.png
-
    
+_images/example-line_17_0.svg
    @@ -469,7 +462,7 @@

    Understanding the uncertainties -
    [31]:
+
    [11]:
 
    
 
    
 
    scatter_samples = result['weighted_samples']['points'][:,2]
@@ -486,7 +479,7 @@ 
    Understanding the uncertainties
-
    [31]:
+
    [11]:
 
    
 
    
 
    
@@ -498,15 +491,14 @@ 
    Understanding the uncertainties
 
    
 
    
-_images/example-line_19_1.png
-
    
+_images/example-line_19_1.svg

    Quantifying the distribution tails

    But how well do we really know this probability distribution? We put uncertainties on it, because UltraNest provides bootstrapped weights, which emulates multiple (30) runs with a different number of live points.

    -
    [32]:
+
    [12]:
 
    
 
    
 
    result['weighted_samples']['bootstrapped_weights'].shape
@@ -514,16 +506,16 @@ 
    Quantifying the distribution tails
-
    [32]:
+
    [12]:
 
    
 
    
 
    
 
    -(1186, 30)
+(1158, 30)
 
    
 
    
 
    
-
    [33]:
+
    [13]:
 
    
 
    
 
    from fastkde import fastKDE
@@ -531,7 +523,7 @@ 
    Quantifying the distribution tails
-
    [35]:
+
    [14]:
 
    
 
    
 
    plt.figure()
@@ -565,8 +557,7 @@ 
    Quantifying the distribution tails
 
    
 
    
-_images/example-line_23_0.png
-
    
+_images/example-line_23_0.svg
    
 
    
 title
 
    
@@ -580,7 +571,7 @@ 
    Comparing empirical models
-
    [36]:
+
    [15]:
 
    
 
    
 
    parameters0 = ['offset', 'scatter']
@@ -617,7 +608,7 @@ 
    Comparing empirical models
-
    [37]:
+
    [16]:
 
    
 
    
 
    sampler0 = ultranest.ReactiveNestedSampler(parameters0, log_likelihood0, prior_transform0)
@@ -631,30 +622,30 @@ 
    Comparing empirical models
 
     [ultranest] Sampling 400 live points from prior ...
-[ultranest] Widening roots to 457 live points (have 400 already) ...
-[ultranest] Sampling 57 live points from prior ...
-[ultranest] Widening roots to 520 live points (have 457 already) ...
-[ultranest] Sampling 63 live points from prior ...
+[ultranest] Widening roots to 467 live points (have 400 already) ...
+[ultranest] Sampling 67 live points from prior ...
+[ultranest] Widening roots to 548 live points (have 467 already) ...
+[ultranest] Sampling 81 live points from prior ...
 
    
 
    
 
    
 
    
 
    
 
    
-
    
+
    
 
    
 
    
 
    
 
    
 
    
 
    -[ultranest] Explored until L=2e+01  21.9772..21.9772]*| it/evals=4576/6329 eff=76.7086% N=400     0 0
-[ultranest] Likelihood function evaluations: 6374
-[ultranest]   logZ = 15.1 +- 0.0855
-[ultranest] Effective samples strategy satisfied (ESS = 1620.4, need >400)
+[ultranest] Explored until L=2e+01
+[ultranest] Likelihood function evaluations: 6408
+[ultranest]   logZ = 14.9 +- 0.1126
+[ultranest] Effective samples strategy satisfied (ESS = 1610.4, need >400)
 [ultranest] Posterior uncertainty strategy is satisfied (KL: 0.46+-0.08 nat, need <0.50 nat)
-[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.09, need <0.5)
-[ultranest]   logZ error budget: single: 0.12 bs:0.09 tail:0.01 total:0.09 required:<0.50
+[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.11, need <0.5)
+[ultranest]   logZ error budget: single: 0.12 bs:0.11 tail:0.01 total:0.11 required:<0.50
 [ultranest] done iterating.
 
    
 
    
@@ -663,7 +654,7 @@ 
    Model comparison with AIChttps://en.wikipedia.org/wiki/Akaike_information_criterion
    
 
    The model with the lowest AIC should be preferred.
    
 
    
-
    [38]:
+
    [17]:
 
    
 
    
 
    Lmax0 = result0['weighted_samples']['logl'].max()
@@ -683,7 +674,7 @@ 
    Model comparison with AIC
 
     AIC of constant model: -41
-AIC of line model    : -80
+AIC of line model    : -79
 
    
 
    
 
    The line model is doing better according to the AIC.
    
@@ -693,7 +684,7 @@ 
    Model comparison by prediction power
-
    [39]:
+
    [18]:
 
    
 
    
 
    samples_orig = samples.copy()
@@ -701,7 +692,7 @@ 
    Model comparison by prediction power
-
    [40]:
+
    [19]:
 
    
 
    
 
    from scipy.special import logsumexp
@@ -709,7 +700,7 @@ 
    Model comparison by prediction power
-
    [ ]:
+
    [20]:
 
    
 
    
 
    Kpredicts = []
@@ -749,50 +740,362 @@ 
    Model comparison by prediction power
 
     [ultranest] Sampling 400 live points from prior ...
-[ultranest] Widening roots to 413 live points (have 400 already) ...
-[ultranest] Sampling 13 live points from prior ...
+[ultranest] Widening roots to 421 live points (have 400 already) ...
+[ultranest] Sampling 21 live points from prior ...
+[ultranest] Widening roots to 443 live points (have 421 already) ...
+[ultranest] Sampling 22 live points from prior ...
 
    
 
    
 
    
 
    
 
    
 
    
-
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    +[ultranest] Explored until L=4e+01
+[ultranest] Likelihood function evaluations: 12235
+[ultranest]   logZ = 28.87 +- 0.1419
+[ultranest] Effective samples strategy satisfied (ESS = 1861.6, need >400)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.46+-0.09 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.14, need <0.5)
+[ultranest]   logZ error budget: single: 0.16 bs:0.14 tail:0.01 total:0.14 required:<0.50
+[ultranest] done iterating.
+[ultranest] Sampling 400 live points from prior ...
+[ultranest] Widening roots to 486 live points (have 400 already) ...
+[ultranest] Sampling 86 live points from prior ...
+[ultranest] Widening roots to 593 live points (have 486 already) ...
+[ultranest] Sampling 107 live points from prior ...
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    +[ultranest] Explored until L=3e+01
+[ultranest] Likelihood function evaluations: 6713
+[ultranest]   logZ = 20.9 +- 0.08257
+[ultranest] Effective samples strategy satisfied (ESS = 1672.5, need >400)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.45+-0.07 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.08, need <0.5)
+[ultranest]   logZ error budget: single: 0.12 bs:0.08 tail:0.01 total:0.08 required:<0.50
+[ultranest] done iterating.
+[ultranest] Sampling 400 live points from prior ...
+[ultranest] Widening roots to 442 live points (have 400 already) ...
+[ultranest] Sampling 42 live points from prior ...
+[ultranest] Widening roots to 490 live points (have 442 already) ...
+[ultranest] Sampling 48 live points from prior ...
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    +[ultranest] Explored until L=4e+01
+[ultranest] Likelihood function evaluations: 11668
+[ultranest]   logZ = 30.69 +- 0.105
+[ultranest] Effective samples strategy satisfied (ESS = 1899.0, need >400)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.46+-0.07 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.11, need <0.5)
+[ultranest]   logZ error budget: single: 0.16 bs:0.11 tail:0.01 total:0.11 required:<0.50
+[ultranest] done iterating.
+[ultranest] Sampling 400 live points from prior ...
+[ultranest] Widening roots to 456 live points (have 400 already) ...
+[ultranest] Sampling 56 live points from prior ...
+[ultranest] Widening roots to 521 live points (have 456 already) ...
+[ultranest] Sampling 65 live points from prior ...
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    +[ultranest] Explored until L=2e+01
+[ultranest] Likelihood function evaluations: 6445
+[ultranest]   logZ = 14.31 +- 0.0809
+[ultranest] Effective samples strategy satisfied (ESS = 1612.0, need >400)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.45+-0.07 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.08, need <0.5)
+[ultranest]   logZ error budget: single: 0.12 bs:0.08 tail:0.01 total:0.08 required:<0.50
+[ultranest] done iterating.
+[ultranest] Sampling 400 live points from prior ...
+[ultranest] Widening roots to 425 live points (have 400 already) ...
+[ultranest] Sampling 25 live points from prior ...
+[ultranest] Widening roots to 451 live points (have 425 already) ...
+[ultranest] Sampling 26 live points from prior ...
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    +[ultranest] Explored until L=4e+01
+[ultranest] Likelihood function evaluations: 11947
+[ultranest]   logZ = 28 +- 0.1069
+[ultranest] Effective samples strategy satisfied (ESS = 1945.0, need >400)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.46+-0.07 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.11, need <0.5)
+[ultranest]   logZ error budget: single: 0.16 bs:0.11 tail:0.01 total:0.11 required:<0.50
+[ultranest] done iterating.
+[ultranest] Sampling 400 live points from prior ...
+[ultranest] Widening roots to 458 live points (have 400 already) ...
+[ultranest] Sampling 58 live points from prior ...
+[ultranest] Widening roots to 528 live points (have 458 already) ...
+[ultranest] Sampling 70 live points from prior ...
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    +[ultranest] Explored until L=2e+01
+[ultranest] Likelihood function evaluations: 6478
+[ultranest]   logZ = 14.25 +- 0.08835
+[ultranest] Effective samples strategy satisfied (ESS = 1595.0, need >400)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.45+-0.09 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.09, need <0.5)
+[ultranest]   logZ error budget: single: 0.12 bs:0.09 tail:0.01 total:0.09 required:<0.50
+[ultranest] done iterating.
+[ultranest] Sampling 400 live points from prior ...
+[ultranest] Widening roots to 409 live points (have 400 already) ...
+[ultranest] Sampling 9 live points from prior ...
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    +[ultranest] Explored until L=3e+01
+[ultranest] Likelihood function evaluations: 11761
+[ultranest]   logZ = 20.6 +- 0.1387
+[ultranest] Effective samples strategy satisfied (ESS = 1951.6, need >400)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.46+-0.07 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.14, need <0.5)
+[ultranest]   logZ error budget: single: 0.16 bs:0.14 tail:0.01 total:0.14 required:<0.50
+[ultranest] done iterating.
+[ultranest] Sampling 400 live points from prior ...
+[ultranest] Widening roots to 468 live points (have 400 already) ...
+[ultranest] Sampling 68 live points from prior ...
+[ultranest] Widening roots to 550 live points (have 468 already) ...
+[ultranest] Sampling 82 live points from prior ...
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    +[ultranest] Explored until L=2e+01
+[ultranest] Likelihood function evaluations: 6264
+[ultranest]   logZ = 11.02 +- 0.0893
+[ultranest] Effective samples strategy satisfied (ESS = 1658.6, need >400)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.46+-0.08 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.09, need <0.5)
+[ultranest]   logZ error budget: single: 0.12 bs:0.09 tail:0.01 total:0.09 required:<0.50
+[ultranest] done iterating.
+[ultranest] Sampling 400 live points from prior ...
+[ultranest] Widening roots to 409 live points (have 400 already) ...
+[ultranest] Sampling 9 live points from prior ...
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    +[ultranest] Explored until L=4e+01
+[ultranest] Likelihood function evaluations: 11619
+[ultranest]   logZ = 25 +- 0.1013
+[ultranest] Effective samples strategy satisfied (ESS = 1907.2, need >400)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.47+-0.08 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.10, need <0.5)
+[ultranest]   logZ error budget: single: 0.16 bs:0.10 tail:0.01 total:0.10 required:<0.50
+[ultranest] done iterating.
+[ultranest] Sampling 400 live points from prior ...
+[ultranest] Widening roots to 460 live points (have 400 already) ...
+[ultranest] Sampling 60 live points from prior ...
+[ultranest] Widening roots to 533 live points (have 460 already) ...
+[ultranest] Sampling 73 live points from prior ...
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    +[ultranest] Explored until L=2e+01
+[ultranest] Likelihood function evaluations: 6278
+[ultranest]   logZ = 9.756 +- 0.075
+[ultranest] Effective samples strategy satisfied (ESS = 1579.8, need >400)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.46+-0.10 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.08, need <0.5)
+[ultranest]   logZ error budget: single: 0.12 bs:0.08 tail:0.01 total:0.08 required:<0.50
+[ultranest] done iterating.
+[ultranest] Sampling 400 live points from prior ...
+[ultranest] Widening roots to 414 live points (have 400 already) ...
+[ultranest] Sampling 14 live points from prior ...
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    +[ultranest] Explored until L=2e+01
+[ultranest] Likelihood function evaluations: 10507
+[ultranest]   logZ = 6.422 +- 0.1405
+[ultranest] Effective samples strategy satisfied (ESS = 1974.8, need >400)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.45+-0.07 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.14, need <0.5)
+[ultranest]   logZ error budget: single: 0.15 bs:0.14 tail:0.01 total:0.14 required:<0.50
+[ultranest] done iterating.
+[ultranest] Sampling 400 live points from prior ...
+[ultranest] Widening roots to 471 live points (have 400 already) ...
+[ultranest] Sampling 71 live points from prior ...
+[ultranest] Widening roots to 563 live points (have 471 already) ...
+[ultranest] Sampling 92 live points from prior ...
+
    
+
    
+
    
+
    
+
    
+
    
+
    
 
    
 
    
 
    
 
    
 
    
 
    -Z=12.5(0.00%) | Like=22.41..40.30 [14.7169..22.4322] | it/evals=2993/6028 eff=53.0721% N=400 0   0 0
+[ultranest] Explored until L=1e+01
+[ultranest] Likelihood function evaluations: 6102
+[ultranest]   logZ = 3.978 +- 0.08489
+[ultranest] Effective samples strategy satisfied (ESS = 1634.7, need >400)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.46+-0.09 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.09, need <0.5)
+[ultranest]   logZ error budget: single: 0.11 bs:0.08 tail:0.01 total:0.09 required:<0.50
+[ultranest] done iterating.
 
    
 
    
 
    So lets look at the prediction quality of line model compared to constant model: Positive values indicate preference for the line model, each entry is a K-fold instance.
    
-
    
-
    [ ]:
+
    
+
    [21]:
 
    
 
    
 
    Kpredicts
 
    
 
    
 
    
+
    
+
    [21]:
+
    
+
    
+
    
+
    +[6.730809057306187,
+ -1.3890461825918559,
+ 1.1055914524215478,
+ 4.835270584724217,
+ -0.3565404470480491,
+ 12.334912091122078]
+
    
+
    
 
    averaging the results, we get:
    
-
    
-
    [ ]:
+
    
+
    [22]:
 
    
 
    
 
    np.mean(Kpredicts)
 
    
 
    
 
    
+
    
+
    [22]:
+
    
+
    
+
    
+
    +3.8768327593223546
+
    
+
    
 
    Again positive, so in terms of prediction, the line model is better.
    
 
    
 
    
 
    Next
    
 
    To recap, we looked at two methods to compare empirical (ad-hoc) models.
    
 
    Next, you can explore the black hole mass scaling relation, or a combination of the three measurables in the data:
    
-
    
-
    [ ]:
+
    
+
    [23]:
 
    
 
    
 
    plt.figure()
@@ -803,7 +1106,15 @@ 
    Next<
 
    
 
    
 
    
-
    
+
    
+
    
+
    
+
    
+_images/example-line_43_0.svg
    
+
    
+
    diff --git a/example-outliers.html b/example-outliers.html index 560fed8d..3036e288 100644 --- a/example-outliers.html +++ b/example-outliers.html @@ -229,7 +229,7 @@

    Gaussian
    -
    +

    @@ -308,7 +308,7 @@

    Gaussian + Outliers

    -
    +
    @@ -380,7 +380,7 @@

    Heavy-tailed distribution

    -
    +
    @@ -524,7 +524,7 @@

    Next<

  • Continue with the other tutorials and explore other UltraNest features

    • diff --git a/example-sine-bayesian-workflow.html b/example-sine-bayesian-workflow.html index 8d6d8aa7..946aceb0 100644 --- a/example-sine-bayesian-workflow.html +++ b/example-sine-bayesian-workflow.html @@ -334,7 +334,7 @@

    Make posteriors

    -
    +
    @@ -439,7 +439,7 @@

    Next<

  • https://arxiv.org/abs/1709.01449

    • diff --git a/example-sine-highd.html b/example-sine-highd.html index 4bca7458..db1de07b 100644 --- a/example-sine-highd.html +++ b/example-sine-highd.html @@ -333,7 +333,7 @@

    Visualise the data

    -
    +
    @@ -383,7 +383,7 @@

    Visualise the data

    -
    +
    @@ -472,7 +472,7 @@

    Step samplers in UltraNest

    -
    +
    @@ -697,7 +697,7 @@

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    Visualise the data

    -
    +
    @@ -386,7 +386,7 @@

    Plot the fit: 
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+<matplotlib.collections.PolyCollection at 0x76a151a01250>

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a/example-sine-modelcomparison.html +++ b/example-sine-modelcomparison.html @@ -297,7 +297,7 @@

    Visualise the data

    -
    +
    @@ -347,7 +347,7 @@

    Visualise the data

    -
    +
    @@ -561,7 +561,7 @@

    Plot the fit: 
    -<matplotlib.collections.PolyCollection at 0x74ac34f8bf20>
+<matplotlib.collections.PolyCollection at 0x76e6377ccd40>

    @@ -656,7 +656,7 @@

    Calibrating Bayes factor thresholds 
    -Z=-35.1(90.67%) | Like=-29.61..-28.10 [-29.6114..-29.6110]*| it/evals=3245/215621 eff=1.5078% N=400
+Z=-35.1(90.63%) | Like=-29.61..-28.10 [-29.6123..-29.6116]*| it/evals=3243/214817 eff=1.5125% N=400

    @@ -681,7 +681,7 @@

    Calibrating Bayes factor thresholds @@ -700,7 +700,7 @@

    Calibrating Bayes factor thresholds
     Z=-34.3(96.26%) | Like=-30.21..-30.21 [-30.2133..-30.2133]*| it/evals=2920/3430 eff=96.3696% N=400
 Bayes factor: 0.44
-Z=-26.1(91.43%) | Like=-19.74..-19.42 [-19.7385..-19.7376]*| it/evals=3547/161172 eff=2.2062% N=400
+Z=-26.1(91.47%) | Like=-19.74..-19.42 [-19.7374..-19.7362]*| it/evals=3549/164329 eff=2.1650% N=400

    @@ -821,7 +821,7 @@

    Further reading -{"state": {"cbaca077a73548f1969cea9b1133fc0a": {"model_name": "LayoutModel", "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "state": {"_model_module": "@jupyter-widgets/base", "_model_module_version": "2.0.0", "_model_name": "LayoutModel", "_view_count": null, "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", "_view_name": "LayoutView", "align_content": null, "align_items": null, "align_self": null, "border_bottom": null, "border_left": null, "border_right": null, "border_top": null, "bottom": null, "display": null, "flex": null, "flex_flow": null, "grid_area": null, "grid_auto_columns": null, "grid_auto_flow": null, "grid_auto_rows": null, "grid_column": null, "grid_gap": null, "grid_row": null, "grid_template_areas": "\"widget051 widget052 widget001 widget002 widget003 widget004 widget005 widget006 widget007 widget008 widget009 widget010 widget011 widget012 widget013 widget014 widget015 widget016 widget017 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b/example-warmstart.html @@ -208,8 +208,7 @@

    Visualise the data

    -_images/example-warmstart_9_0.png -
    +_images/example-warmstart_9_0.svg
    @@ -253,8 +252,7 @@

    Prior
    -_images/example-warmstart_13_0.png -
    +_images/example-warmstart_13_0.svg

    @@ -296,14 +294,14 @@

    First simple model
    -
    + 
    -[ultranest] Explored until L=2e+02  7 [173.9047..173.9128]*| it/evals=6080/46921 eff=13.0694% N=400    400  400 400
+[ultranest] Explored until L=2e+02
 [ultranest] Likelihood function evaluations: 46953
 [ultranest] Writing samples and results to disk ...
 [ultranest] Writing samples and results to disk ... done
@@ -349,8 +347,7 @@ 
    Plot the fit
    -_images/example-warmstart_18_0.png -
    +_images/example-warmstart_18_0.svg

    @@ -412,14 +409,14 @@

    Warm starting a modified model
    -
    + 
    -[ultranest] Explored until L=2e+02  5 [169.4613..169.4636]*| it/evals=1600/5358 eff=32.2711% N=400
+[ultranest] Explored until L=2e+02
 [ultranest] Likelihood function evaluations: 5393
 [ultranest]   logZ = 166.7 +- 0.0473
 [ultranest] Effective samples strategy satisfied (ESS = 763.2, need >400)
@@ -457,8 +454,7 @@ 
    Warm starting a modified model
    -_images/example-warmstart_28_0.png -
    +_images/example-warmstart_28_0.svg
    @@ -511,8 +507,7 @@

    When the transform cannot be inverted easily
    -_images/example-warmstart_36_0.png -
    +_images/example-warmstart_36_0.svg

    Lets have a look how our unit-cube prior transform works:

    The first parameter has a uniform prior, the other a log-uniform prior.

    @@ -544,8 +539,7 @@

    When the transform cannot be inverted easily
    -_images/example-warmstart_39_0.png -
    +_images/example-warmstart_39_0.svg

    Here we convert the posterior samples to u-space, by finding the unit-cube value by optimization.

    @@ -598,7 +592,7 @@

    When the transform cannot be inverted easily 
    -100%|████████████████████████████████████| 6505/6505 [00:00<00:00, 12544.08it/s]
+100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████| 6505/6505 [00:00<00:00, 9507.65it/s]

    Lets see whether our untransformed (u-space) posterior samples are correct:

    @@ -622,8 +616,7 @@

    When the transform cannot be inverted easily
    -_images/example-warmstart_45_0.png -
    +_images/example-warmstart_45_0.svg

    This looks like great agreement! We successfully untransformed the posterior samples to u-space.

    @@ -684,7 +677,9 @@

    Conclusionhttps://arxiv.org/abs/2212.01760

    - + diff --git a/index.html b/index.html index 03e3517a..146e4392 100644 --- a/index.html +++ b/index.html @@ -231,11 +231,15 @@

    Features

    Usage

    -

    Get started!

    +

    Read the full documentation with tutorials at:

    -

    https://johannesbuchner.github.io/UltraNest/

    -

    API Reference:.

    -

    Code repository: https://github.com/JohannesBuchner/UltraNest/

    +

    Licence

    @@ -245,6 +249,28 @@

    Licence It symbolises UltraNest’s approach of carefully walking up a likelihood, ready to defend against any encountered danger.

    +
    +

    Contributors

    +
    +
    +
    +
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z<5hrbIHjJa>1H3t6I#tEe|1};4knVloDNtOo77>|AU2s(UYwa|#2uRK?KhLF9O8m=S1s<^HRJbcyMW!SB8``NnPFJKfD|P zPR1fSak@lBz&YGx^8e}nlu7Kp;{Wl7)8?llR%7v=u}OGd;u)ap7; diff --git a/readme.html b/readme.html index 5e8307a0..f8e260a1 100644 --- a/readme.html +++ b/readme.html @@ -59,6 +59,7 @@
  • Features
    • @@ -207,11 +208,15 @@

    Features

    Usage

    -

    Get started!

    +

    Read the full documentation with tutorials at:

    -

    https://johannesbuchner.github.io/UltraNest/

    -

    API Reference:.

    -

    Code repository: https://github.com/JohannesBuchner/UltraNest/

    +

    Licence

    @@ -221,6 +226,28 @@

    Licence It symbolises UltraNest’s approach of carefully walking up a likelihood, ready to defend against any encountered danger.

    +
    +

    Contributors

    +
    +
    +
    +
    diff --git a/searchindex.js b/searchindex.js index ae5b6ff7..cf2092db 100644 --- a/searchindex.js +++ b/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"1.0.0 (2014)": [[11, "id13"]], "2.0.0 (2019-10-03)": [[11, "id12"]], "2.1.0 (2020-02-07)": [[11, "id11"]], "2.2.0 (2020-02-07)": [[11, "id10"]], "3.0.0 (2020-10-03)": [[11, "id9"]], "3.3.3 (2021-09-17)": [[11, "id8"]], "3.4.0 (2022-04-05)": [[11, "id7"]], "3.5.0 (2022-09-05)": [[11, "id6"]], "3.6.0 (2023-06-22)": [[11, "id5"]], "3.6.5 (2023-07-18)": [[11, "id4"]], "4.0.0 (2024-02-15)": [[11, "id3"]], "4.1.0 (2024-02-15)": [[11, "id2"]], "4.2.0 (2024-02-15)": [[11, "id1"]], "API": [[0, "api"], [16, "api"]], "About": [[12, "about"], [19, "about"]], "Alphabetical list of submodules": [[0, "alphabetical-list-of-submodules"]], "Basic usage": [[21, "Basic-usage"]], "Bayesian model comparison": [[7, "Bayesian-model-comparison"], [9, "Bayesian-model-comparison"]], "Bayesian workflow": [[6, "Bayesian-workflow"]], "Black body 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    Nested sampling integratorsReturns:

    results (dict) –

    -
      -

    • samples (ndarray): re-weighted posterior samples: distributed according

      • -
    -

    to \(p(\theta | d)\) - these points are not sorted, and can be assumed +

      +

    • samples (ndarray): re-weighted posterior samples: distributed according +to \(p(\theta | d)\) - these points are not sorted, and can be assumed to have been randomly shuffled. -See ultranest.utils.resample_equal() for more details. -- logz (float64): natural logarithm of the evidence -\(\log Z = \log \int p(d|\theta) p(\theta) \text{d}\theta\) -- logzerr (float64): global estimate of the \(1\sigma\) error on +See ultranest.utils.resample_equal() for more details.

      • +

    • logz (float64): natural logarithm of the evidence +\(\log Z = \log \int p(d|\theta) p(\theta) \text{d}\theta\)

      • +

    • logzerr (float64): global estimate of the \(1\sigma\) error on \(\log Z\) (can be safely assumed to be Gaussian); obtained as the quadratic sum of logz_bs and logz_tail. Users are advised to use logz \(\pm\) logzerr -as the best estimate for the evidence and its error. -- niter (int): number of sampler iterations -- ncall (int): total number of likelihood evaluations (accepted and not) -- logz_bs (float64): estimate of \(\log Z\) from bootstrapping - +as the best estimate for the evidence and its error.

      • +

    • niter (int): number of sampler iterations

      • +

    • ncall (int): total number of likelihood evaluations (accepted and not)

      • +

    • logz_bs (float64): estimate of \(\log Z\) from bootstrapping - for details, see the -ultranest paper -- logzerr_bs (float64): estimate of the error on the of \(\log Z\) -from bootstrapping -- logz_single (float64): estimate of \(\log Z\) from a single sampler -- logzerr_single (float64): estimate of the error \(\log Z\) from a -single sampler, obtained as \(\sqrt{H / n_{\text{live}}}\) -- logzerr_tail (float64): contribution of the tail (i.e. the terminal -leaves of the tree) to the error on \(\log Z\) (?) -- ess (float64): effective sample size, i.e. number of samples divided by +ultranest paper

      • +

    • logzerr_bs (float64): estimate of the error on the of \(\log Z\) +from bootstrapping

      • +

    • logz_single (float64): estimate of \(\log Z\) from a single sampler

      • +

    • logzerr_single (float64): estimate of the error \(\log Z\) from a +single sampler, obtained as \(\sqrt{H / n_{\text{live}}}\)

      • +

    • logzerr_tail (float64): contribution of the tail (i.e. the terminal +leaves of the tree) to the error on \(\log Z\) (?)

      • +

    • ess (float64): effective sample size, i.e. number of samples divided by the estimated correlation length, estimated as \(N / (1 + N^{-1} \sum_i (N w_i - 1)^2)\) where \(w_i\) are -the sample weights while \(N\) is the number of samples -- H (float64): information gained -- Herr (float64): (Gaussian) \(1\sigma\) error on \(H\) -- posterior (dict): summary information on the posterior marginal distributions for each parameter - +the sample weights while \(N\) is the number of samples

      • +

    • H (float64): information gained

      • +

    • Herr (float64): (Gaussian) \(1\sigma\) error on \(H\)

      • +

    • posterior (dict): summary information on the posterior marginal distributions for each parameter - a dictionary of lists each with as many items as the fit parameters, indexed as \(\theta_i\) in the following:

      @@ -1346,37 +1345,34 @@

      Nested sampling integrators\(\theta_i\) to the posterior

    -
      -

    • weighted_samples (dict): weighted samples from the posterior, as computed during sampling,

      • -
    -
    -
    sorted by their log-likelihood value
      -

    • upoints (ndarray): sample locations in the unit cube \([0, 1]^{d}\),

      • -
    -

    where \(d\) is the number of parameters - the shape is n_iter by \(d\) -- points (ndarray): sample locations in the physical, user-provided space (same shape as upoints) -- weights (ndarray): sample weights - shape n_iter, they sum to 1 -- logw (ndarray): logs of the sample weights (?) -- bootstrapped_weights (ndarray): bootstrapped estimate of the sample weights -- logl (ndarray): log-likelihood values at the sample points

    -
    -
    -
      -

    • maximum_likelihood (dict): summary information on the maximum likelihood value

      • + +

    • weighted_samples (dict): weighted samples from the posterior, as computed during sampling, +sorted by their log-likelihood value

      +
      +
        +

      • upoints (ndarray): sample locations in the unit cube \([0, 1]^{d}\), +where \(d\) is the number of parameters - the shape is n_iter by \(d\)

        • +

      • points (ndarray): sample locations in the physical, user-provided space (same shape as upoints)

        • +

      • weights (ndarray): sample weights - shape n_iter, they sum to 1

        • +

      • logw (ndarray): logs of the sample weights (?)

        • +

      • bootstrapped_weights (ndarray): bootstrapped estimate of the sample weights

        • +

      • logl (ndarray): log-likelihood values at the sample points

      -
      -
      \(\theta_{ML}\) found by the posterior exploration
        +
      +
      • +

    • maximum_likelihood (dict): summary information on the maximum likelihood value +\(\theta_{ML}\) found by the posterior exploration

      +
      +

      • logl (float64): value of the log-likelihood at this point: \(\log p(d | \theta_{ML})\)

      • point (list): coordinates of \(\theta_{ML}\) in the physical space

      • point_untransformed (list): coordinates of \(\theta_{ML}\) in the unit cube \([0, 1]^{d}\)

      -
    -

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429.655573 250.606041 " style="fill: none; stroke-dasharray: 5.55,2.4; stroke-dashoffset: 0; stroke: #800080; stroke-width: 1.5"/> - + @@ -3593,7 +3540,7 @@ L 423.824573 262.309691 L 429.655573 262.309691 " style="fill: none; stroke-dasharray: 1.5,2.475; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - + @@ -3609,7 +3556,7 @@ L 423.824573 274.013341 L 429.655573 274.013341 " style="fill: none; stroke-dasharray: 9.6,2.4,1.5,2.4; stroke-dashoffset: 0; stroke: #000080; stroke-width: 1.5"/> - + @@ -3625,7 +3572,7 @@ L 423.824573 285.716991 L 429.655573 285.716991 " style="fill: none; stroke: #000080; stroke-width: 1.5"/> - + @@ -3657,22 +3604,22 @@ z - + - + - + - + - + - + diff --git a/_images/using-ultranest_15_1.svg b/_images/using-ultranest_15_1.svg index 67c5c722..5585a829 100644 --- a/_images/using-ultranest_15_1.svg +++ b/_images/using-ultranest_15_1.svg @@ -1,12 +1,12 @@ - + - 2024-05-29T21:37:46.321952 + 2024-05-29T23:18:52.770009 image/svg+xml @@ -22,8 +22,8 @@ @@ 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    -
      + +

    • paramnames (list): input parameter names

      • -

    • insertion_order_MWW_test (dict): results for the Mann-Whitney U-test;

      • -
    -

    for more information, see the ultranest.netiter.MultiCounter class +

  • insertion_order_MWW_test (dict): results for the Mann-Whitney U-test; +for more information, see the ultranest.netiter.MultiCounter class or section 4.5.2 of Buchner 2023

    -
    +
    @@ -258,23 +258,23 @@

    Simple example 
     [ultranest] Explored until L=-5e+01
-[ultranest] Likelihood function evaluations: 19277
-[ultranest]   logZ = -63.92 +- 0.1519
-[ultranest] Effective samples strategy satisfied (ESS = 1173.1, need >400)
-[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.46+-0.07 nat, need <0.50 nat)
-[ultranest] Evidency uncertainty strategy is satisfied (dlogz=0.15, need <0.5)
-[ultranest]   logZ error budget: single: 0.23 bs:0.15 tail:0.01 total:0.15 required:<0.50
+[ultranest] Likelihood function evaluations: 19514
+[ultranest]   logZ = -65.96 +- 0.2068
+[ultranest] Effective samples strategy satisfied (ESS = 1183.8, need >400)
+[ultranest] Posterior uncertainty strategy is satisfied (KL: 0.46+-0.08 nat, need <0.50 nat)
+[ultranest] Evidency uncertainty strategy wants 252 minimum live points (dlogz from 0.16 to 0.53, need <0.5)
+[ultranest]   logZ error budget: single: 0.23 bs:0.21 tail:0.01 total:0.21 required:<0.50
 [ultranest] done iterating.
 
-logZ = -63.856 +- 0.299
-  single instance: logZ = -63.856 +- 0.183
-  bootstrapped   : logZ = -63.922 +- 0.299
+logZ = -65.998 +- 0.442
+  single instance: logZ = -65.998 +- 0.181
+  bootstrapped   : logZ = -65.964 +- 0.442
   tail           : logZ = +- 0.010
 insert order U test : converged: True correlation: inf iterations
 
-    location            : 498.47│ ▁ ▁ ▁▁▁▁▁▁▂▂▁▂▄▃▄▆▆▇▇▆▇▇▆▆▄▄▂▂▁▁▁▁▁▁▁ │500.49    499.61 +- 0.24
-    amplitude           : 15.37 │ ▁▁▁▁▁▁▁▁▁▂▃▂▅▅▅▆▅▇▇▇▇▆▆▄▃▃▂▂▂▁▁▁▁▁▁▁▁ │22.27     18.82 +- 0.91
-    width               : 3.40  │ ▁▁▁▁▁▁▁▁▂▃▃▄▅▆▇▆▇▇▆▆▅▄▄▃▂▂▂▁▁▁▁▁▁▁▁▁▁ │5.34      4.31 +- 0.25
+    location            : 499.10│ ▁▁▁▁▁▁▁▁▁▂▂▃▄▅▄▅▇▇▇▇▆▆▅▄▃▂▂▂▁▁▁▁▁▁▁ ▁ │500.91    500.00 +- 0.22
+    amplitude           : 15.20 │ ▁  ▁ ▁▁▁▁▁▂▂▃▄▅▇▇▇▇▇▇▇▆▆▄▃▂▂▂▁▁▁▁ ▁▁▁ │23.46     19.51 +- 0.94
+    width               : 3.38  │ ▁▁▁▁▁▁▂▂▂▃▄▄▆▅▆▇▇▇▆▄▅▄▃▃▃▂▁▁▁▁▁▁▁▁▁▁▁ │5.33      4.24 +- 0.25

    @@ -337,7 +337,7 @@

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