Commit a7ca709
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Large responses were being read into memory. For most calls that's fine, but download could cause the python process to go out of memory due to holding large workbooks or datasources all in memory before writing to disk.
Requests has a feature called `iter_content` which when used in combination with `stream=True` on a request will download only the headers, allow us to determine the filename, and then read through the response body in chunks. I picked a size of 1024 bytes, since that's what most of the internet appears to use and I noticed little perf difference between a 1024 byte chunk size and a 1MB chunk size.
This is all enabled by exposing the `parameters` argument to `requests.get` by pluming it through our wrapper functions. All tests pass, and manual testing showed the memory problem went away.
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