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Fix typos found by codespell #281

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Oct 10, 2024
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4 changes: 2 additions & 2 deletions bench/lazyarray-expr-small-dask.ipynb

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6 changes: 3 additions & 3 deletions bench/ndarray/lazyarray-expr.ipynb

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2 changes: 1 addition & 1 deletion doc/getting_started/tutorials/03.lazyarray-udf.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -243,7 +243,7 @@
"source": [
"## Summary\n",
"\n",
"In this section, we have seen how to execute user-defined fucntion and get the result as a NumPy or NDArray. We have also seen that the Python-Blosc2 `LazyUDF` is faster than the Numba way for getting the same result."
"In this section, we have seen how to execute user-defined function and get the result as a NumPy or NDArray. We have also seen that the Python-Blosc2 `LazyUDF` is faster than the Numba way for getting the same result."
]
}
],
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2 changes: 1 addition & 1 deletion doc/getting_started/tutorials/05.remote_proxy.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -329,7 +329,7 @@
"\n",
"The remote dataset is available at: https://demo.caterva2.net/roots/example/lung-jpeg2000_10x.b2nd?roots=example. You may want to explore the data values by clicking on the *Data* tab; this dataset is actually a tomography of a lung, which you can visualize by clicking on the *Tomography* tab. Finally, by clicking on the **Download** button, it can be downloaded locally in case you want to experiment more with the data.\n",
"\n",
"As we have seen, every time that we dowloaded a chunk, the size of the local file increased by a fix amount (around 0.64 MB). This is because the chunks (whose size is around 6.4 MB) are compressed with the `Codec.GROK` codec, which has been configured to reduce the size of the data by a *constant* factor of 10. This means that the compressed data occupies only one-tenth of the space that it would occupy without compression. This reduction in data size optimizes both storage and transfer, as data is always handled in a compressed state when downloading or storing images, which accelerates the transfer process.\n",
"As we have seen, every time that we downloaded a chunk, the size of the local file increased by a fix amount (around 0.64 MB). This is because the chunks (whose size is around 6.4 MB) are compressed with the `Codec.GROK` codec, which has been configured to reduce the size of the data by a *constant* factor of 10. This means that the compressed data occupies only one-tenth of the space that it would occupy without compression. This reduction in data size optimizes both storage and transfer, as data is always handled in a compressed state when downloading or storing images, which accelerates the transfer process.\n",
"\n"
]
},
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