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Merge pull request #233 from OvertureMaps/sept-theme-guides
September theme guide updates
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‎docs/guides/addresses.mdx‎

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@@ -29,9 +29,9 @@ Address data can be used for a variety of purposes, which can include:
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- **Normalization**: Adhering to standard and consistent forms of address components.
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- **Validation and Verification**: Confirming an address exists within a known list of addresses.
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| ![Overture address coverage](/img/addresses/address-coverage-h3-aug.png) |
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| ![Overture address coverage](/img/addresses/address-coverage-h3-sept.png) |
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|:--:|
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| *August coverage of Overture address data, visualized using H3 cells.* |
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| *September coverage of Overture address data, visualized using H3 cells.* |
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## Dataset description
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‎docs/guides/buildings.mdx‎

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| source | type | conflation priority | count |
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| --- | --- | --- | --- |
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| [OpenStreetMap](//osm.org) | Community-contributed | 1 | ~635 Million |
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| [Esri Community Maps](https://communitymaps.arcgis.com/home) | Community-contributed | 2 | ~11 Million |
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| [Instituto Geográfico Nacional (España)](https://www.ign.es/) | National dataset | 3 | ~11.7 Million |
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| [City of Vancouver, Canada](https://opendata.vancouver.ca/) | Municipal dataset | 4 | ~14 Thousand |
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| [OpenStreetMap](//osm.org) | Community-contributed | 1 | ~656 Million |
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| [Esri Community Maps](https://communitymaps.arcgis.com/home) | Community-contributed | 2 | ~17.5 Million |
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| [Instituto Geográfico Nacional (España)](https://www.ign.es/) | National dataset | 3 | ~12.9 Million |
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| [City of Vancouver, Canada](https://opendata.vancouver.ca/) | Municipal dataset | 4 | ~17 Thousand |
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| [Google Open Buildings](https://sites.research.google/open-buildings/) | ML-derived roofprints (>90% precision) | 5 | ~350 Million |
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| [Microsoft](https://github.com/microsoft/GlobalMLBuildingFootprints) | ML-derived roofprints | 6 | ~723 Million |
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| [Microsoft](https://github.com/microsoft/GlobalMLBuildingFootprints) | ML-derived roofprints | 6 | ~805 Million |
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| [Google Open Buildings](https://sites.research.google/open-buildings/) | ML-derived roofprints (\<90% precision) | 7 | ~650 Million |
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| [Buildings in East Asian Countries](https://zenodo.org/records/8174931) | ML-derived roofprints | 8 | ~213 Million |
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‎docs/guides/places.mdx‎

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@@ -24,23 +24,43 @@ This guide is focused on the Overture places **data**—its content, scope, prop
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The Overture places theme has one feature type, called `place`, and contains more than 64 million point representations of real-world entities: schools, businesses, hospitals, religious organizations, landmarks, mountain peaks, and much more. The theme is derived from a conflation of Meta, Microsoft, and PinMeTo data and is available under a [CDLA Permissive 2.0](https://cdla.dev/permissive-2-0/) license.
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| ![Overture places theme coverage](/img/places/places-coverage-h3-aug.png) |
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| ![Overture places theme coverage](/img/places/places-coverage-h3-sept.png) |
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|:--:|
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| *Overture places data, August 2025* |
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| *Overture places data, September 2025* |
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| source | feature count, August 2025 |
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| sources (ordered) | feature count, September 2025 |
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| --- | --- |
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| meta | 56,659,810 |
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| Microsoft | 5,369,523 |
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| meta & Microsoft | 3,169,090 |
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| Microsoft & PinMeTo | 74,744 |
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| PinMeTo | 19,132 |
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| meta, Microsoft & PinMeTo | 33,899 |
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| Krick & Microsoft | 6,355 |
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| meta & PinMeTo | 3,707 |
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| Krick | 3,140 |
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| Krick, meta & Microsoft | 2,717 |
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| Krick & meta | 706 |
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| meta | 56,229,637 |
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| Foursquare | 6,089,297 |
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| Microsoft | 5,322,704 |
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| meta & Microsoft | 2,613,673 |
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| meta & SparkGeo-confidence-conflation | 541,168 |
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| meta, Microsoft & SparkGeo-confidence-conflation | 404,772 |
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| Microsoft & meta | 207,468 |
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| PinMeTo & Microsoft | 71,793 |
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| Microsoft & SparkGeo-confidence-conflation | 62,751 |
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| PinMeTo, meta & Microsoft | 31,490 |
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| PinMeTo | 16,184 |
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| Microsoft, meta & SparkGeo-confidence-conflation | 7,175 |
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| Microsoft & Krick | 6,301 |
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| Microsoft & PinMeTo | 6,004 |
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| Krick | 3,172 |
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| PinMeTo & meta | 2,780 |
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| meta, Microsoft & Krick | 2,643 |
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| PinMeTo, Microsoft & meta | 2,285 |
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| Foursquare & SparkGeo-confidence-conflation | 1,067 |
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| meta & Krick | 679 |
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| meta, Microsoft & PinMeTo | 647 |
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| Microsoft, meta & PinMeTo | 362 |
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| meta & PinMeTo | 307 |
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| Microsoft, meta & Krick | 64 |
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| Microsoft, Krick & meta | 43 |
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| PinMeTo, meta, Microsoft & SparkGeo-confidence-conflation | 4 |
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| Krick & meta | 16 |
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| PinMeTo, Microsoft & SparkGeo-confidence-conflation | 2 |
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| Microsoft, PinMeTo & SparkGeo-confidence-conflation | 1 |
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| PinMeTo, meta & SparkGeo-confidence-conflation | 1 |
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| meta, Microsoft, PinMeTo & SparkGeo-confidence-conflation | 1 |
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## Dataset description
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‎docs/guides/transportation.mdx‎

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<Tabs>
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<TabItem value="classes" label="classes" default>
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| subtype | class | subclass | feature count, August 2025 |
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| subtype | class | subclass | feature count, September 2025 |
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| --- | --- | --- | --- |
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| rail | funicular | | 1,309 |
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| rail | light_rail | | 16,218 |
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| rail | monorail | | 3,023 |
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| rail | narrow_gauge | | 31,044 |
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| rail | standard_gauge | | 1,429,962 |
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| rail | subway | | 52,417 |
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| rail | tram | | 58,992 |
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| rail | unknown | | 376,475 |
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| road | bridleway | | 99,768 |
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| road | cycleway | cycle_crossing | 57,084 |
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| road | cycleway | | 1,272,514 |
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| road | footway | crosswalk | 2,189,913 |
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| road | footway | sidewalk | 3,532,386 |
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| road | footway | | 15,891,996 |
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| road | living_street | | 3,322,367 |
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| road | motorway | link | 640,036 |
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| road | motorway | | 433,368 |
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| road | path | | 13,455,216 |
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| road | pedestrian | | 464,602 |
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| road | primary | link | 490,259 |
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| road | primary | | 6,681,557 |
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| road | residential | | 125,698,481 |
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| road | secondary | link | 388,309 |
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| road | secondary | | 10,716,541 |
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| road | service | alley | 1,700,121 |
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| road | service | driveway | 16,639,987 |
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| road | service | parking_aisle | 6,322,008 |
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| road | service | | 32,980,815 |
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| road | steps | | 1,863,964 |
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| road | tertiary | link | 297,428 |
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| road | tertiary | | 19,828,207 |
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| road | track | | 25,187,115 |
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| road | trunk | link | 552,618 |
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| road | trunk | | 3,443,606 |
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| road | unclassified | | 29,598,013 |
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| road | unknown | | 1,279,752 |
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| water | | | 28,259 |
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| rail | funicular | | 1,309 |
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| rail | light_rail | | 16,302 |
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| rail | monorail | | 3,037 |
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| rail | narrow_gauge | | 31,105 |
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| rail | standard_gauge | | 1,432,742 |
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| rail | subway | | 52,834 |
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| rail | tram | | 59,075 |
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| rail | unknown | | 378,647 |
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| road | bridleway | | 100,550 |
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| road | cycleway | cycle_crossing | 57,957 |
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| road | cycleway | | 1,279,784 |
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| road | footway | crosswalk | 2,219,681 |
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| road | footway | sidewalk | 3,595,350 |
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| road | footway | | 16,025,515 |
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| road | living_street | | 3,332,042 |
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| road | motorway | link | 640,561 |
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| road | motorway | | 433,073 |
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| road | path | | 13,523,391 |
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| road | pedestrian | | 465,722 |
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| road | primary | link | 491,060 |
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| road | primary | | 6,698,107 |
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| road | residential | | 125,885,875 |
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| road | secondary | link | 389,359 |
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| road | secondary | | 10,737,084 |
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| road | service | alley | 1,716,773 |
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| road | service | driveway | 16,761,777 |
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| road | service | parking_aisle | 6,355,124 |
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| road | service | | 33,109,690 |
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| road | steps | | 1,878,101 |
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| road | tertiary | link | 297,561 |
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| road | tertiary | | 19,881,087 |
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| road | track | | 25,289,639 |
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| road | trunk | link | 554,871 |
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| road | trunk | | 3,456,718 |
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| road | unclassified | | 29,648,979 |
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| road | unknown | | 1,710,480 |
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| water | | | 28,327 |
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</TabItem>
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</Tabs>

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‎static/img/places/places-coverage-h3-aug.png‎

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‎static/img/places/places-coverage-h3-sept.png‎

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