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" #### **What are we seeing?** \n " ,
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" \n " ,
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" * xarray uses `guess_engine()` to identify which backend can open the file.\n " ,
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- " * `guess_engine()` will looop through the preinstalled backends and will run `guess_can_open()`.\n " ,
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+ " * `guess_engine()` will loop through the preinstalled backends and will run `guess_can_open()`.\n " ,
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" * if an engine can handle the file type it will verify that we are working with a local file.\n " ,
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" * Once that we know which backend we'll use we invoke that backend implementation of `open_dataset()`.\n " ,
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" \n " ,
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"source" : [
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" import fsspec\n " ,
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" \n " ,
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- " \n " ,
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" uri = \" https://its-live-data.s3-us-west-2.amazonaws.com/test-space/sample-data/sst.mnmean.nc\"\n " ,
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" # we prepend the cache type to the URI, this is called protocol chaining in fsspec-speak\n " ,
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" file = fsspec.open_local(f\" simplecache::{uri}\" , filecache={'cache_storage': '/tmp/fsspec_cache'})\n " ,
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}
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],
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"metadata" : {
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+ "kernelspec" : {
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+ "display_name" : " Python 3 (ipykernel)" ,
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+ "language" : " python" ,
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+ "name" : " python3"
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+ },
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"language_info" : {
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"codemirror_mode" : {
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"name" : " ipython" ,
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"mimetype" : " text/x-python" ,
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"name" : " python" ,
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"nbconvert_exporter" : " python" ,
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- "pygments_lexer" : " ipython3"
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+ "pygments_lexer" : " ipython3" ,
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+ "version" : " 3.10.13"
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}
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},
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"nbformat" : 4 ,
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