Dask based implemenetation of reproject

[Kirill888]

1. Generalize GeoboxTiles
   • support arbitrary chunked grids
   • support GCPGeoBox input
   • support "clipping" of tiles
2. Implement GeoboxTiles.grid_intersect method for computing cross-block depenendencies
3. Implement BlockAssembler helper class
4. Implement Dask graph construction for reproject workflow using above

Closes #26

TODO:

• Address #87
• Cache grid_intersect results when transforming multi-band Dask xarray.Datasets that share common geometry of chunks across several bands to speed up Dask graph construction
• Proper unit testing for Dask reproject

[codecov[bot]]

Codecov Report

Patch coverage: 81.73% and project coverage change: -1.61 :warning:

Comparison is base (36ad1b1) 98.11% compared to head (fea7c62) 96.51%.

Additional details and impacted files

```diff @@ Coverage Diff @@ ## develop #88 +/- ## =========================================== - Coverage 98.11% 96.51% -1.61% =========================================== Files 23 25 +2 Lines 3819 4188 +369 =========================================== + Hits 3747 4042 +295 - Misses 72 146 +74 ``` | [Impacted Files](https://codecov.io/gh/opendatacube/odc-geo/pull/88?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=opendatacube) | Coverage Δ | | |---|---|---| | [odc/geo/\_dask.py](https://codecov.io/gh/opendatacube/odc-geo/pull/88?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=opendatacube#diff-b2RjL2dlby9fZGFzay5weQ==) | `0.00% <0.00%> (ø)` | | | [odc/geo/overlap.py](https://codecov.io/gh/opendatacube/odc-geo/pull/88?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=opendatacube#diff-b2RjL2dlby9vdmVybGFwLnB5) | `100.00% <ø> (ø)` | | | [odc/geo/\_xr\_interop.py](https://codecov.io/gh/opendatacube/odc-geo/pull/88?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=opendatacube#diff-b2RjL2dlby9feHJfaW50ZXJvcC5weQ==) | `98.52% <88.23%> (-0.22%)` | :arrow_down: | | [odc/geo/geobox.py](https://codecov.io/gh/opendatacube/odc-geo/pull/88?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=opendatacube#diff-b2RjL2dlby9nZW9ib3gucHk=) | `99.41% <98.33%> (+0.03%)` | :arrow_up: | | [odc/geo/\_blocks.py](https://codecov.io/gh/opendatacube/odc-geo/pull/88?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=opendatacube#diff-b2RjL2dlby9fYmxvY2tzLnB5) | `100.00% <100.00%> (ø)` | | | [odc/geo/\_version.py](https://codecov.io/gh/opendatacube/odc-geo/pull/88?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=opendatacube#diff-b2RjL2dlby9fdmVyc2lvbi5weQ==) | `100.00% <100.00%> (ø)` | | | [odc/geo/geom.py](https://codecov.io/gh/opendatacube/odc-geo/pull/88?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=opendatacube#diff-b2RjL2dlby9nZW9tLnB5) | `100.00% <100.00%> (ø)` | | | [odc/geo/roi.py](https://codecov.io/gh/opendatacube/odc-geo/pull/88?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=opendatacube#diff-b2RjL2dlby9yb2kucHk=) | `100.00% <100.00%> (ø)` | | | [odc/geo/types.py](https://codecov.io/gh/opendatacube/odc-geo/pull/88?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=opendatacube#diff-b2RjL2dlby90eXBlcy5weQ==) | `100.00% <100.00%> (ø)` | |

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