docs/dask.md: update links due to src/mintpy structure change (#1308)

* docs: update mintpy references

Signed-off-by: Emmanuel Ferdman <[email protected]>

* Update dask.md

---------

Signed-off-by: Emmanuel Ferdman <[email protected]>

Author: emmanuel-ferdman

docs/dask.md

@@ -1,6 +1,6 @@
 # Configure dask for parallel processing #
 
-Most computations in MintPy are operated in either a pixel-by-pixel or a epoch-by-epoch basis. This implementation strategy allows processing different blocks (in space or in time) in parallel. For this purpose, we use the [`Dask`](https://docs.dask.org/en/latest/) library for its dynamic task scheduling and data collection. Dask support is currently implemented in `ifgram_inversion.py` and `dem_error.py` only (expansions to other modules are welcomed) through a thin wrapper in [`mintpy.objects.cluster`](../mintpy/objects/cluster.py). We have tested two types of clusters:
+Most computations in MintPy are operated in either a pixel-by-pixel or a epoch-by-epoch basis. This implementation strategy allows processing different blocks (in space or in time) in parallel. For this purpose, we use the [`Dask`](https://docs.dask.org/en/latest/) library for its dynamic task scheduling and data collection. Dask support is currently implemented in `ifgram_inversion.py` and `dem_error.py` only (expansions to other modules are welcomed) through a thin wrapper in [`mintpy.objects.cluster`](../src/mintpy/objects/cluster.py). We have tested two types of clusters:
 
 + **local cluster:** on a single machine (laptop or computing node) with multiple CPU cores, suitable for laptops, local cluster/stations and distributed High Performance Cluster (HPC). No job scheduler is required.
 + **non-local cluster:** on a distributed HPC with job scheduler installed, including PBS, LSF and SLURM.
@@ -69,7 +69,7 @@ PBScluster did not work either. But we tested only on a small server without sha
 -------------------------------------------
 The parallel proceesing on multiple machines is supported via [`Dask-jobqueue`](https://jobqueue.dask.org/en/latest/index.html). One can specify configuration either with keyword arguments when creating a `Cluster` object, or with a configuration file in YAML format. MintPy assumes the YAML configuration file only.
 
-We provide an example [YAML configuration file](../mintpy/defaults/mintpy.yaml), besides the `dask.yaml`,  `distributed.yaml` and `jobqueue.yaml` files in `~/.config/dask` installed by dask by default. One can copy it over to the `~/.config/dask` directory as below for dask to identify and use it.
+We provide an example [YAML configuration file](../src/mintpy/defaults/mintpy.yaml), besides the `dask.yaml`,  `distributed.yaml` and `jobqueue.yaml` files in `~/.config/dask` installed by dask by default. One can copy it over to the `~/.config/dask` directory as below for dask to identify and use it.
 
 ```bash
 cp $MINTPY_HOME/src/mintpy/defaults/mintpy.yaml ~/.config/dask/mintpy.yaml