7113f574c21ad2375cf2ae0c46f9dfea6f2ed8f6e09e2788700794477877eec0  README.md
635e0f57c7032636e39e2b00a95af51acdf77b2eaaa2c85737ad28722f58a21e  expected-output.json
02545d2caef9fa3777e985b04444ac877fd33f8fd56aa2541f0982d2e76eee9d  make_sample.py
12ca98bf762f28eb693b65606adb4d8dba2cef4f75be930bc9f7636bacaaec26  q3-results.json
6fd79f02c270b3e82178204181826abe13e82476b023b8d41f0a616831a50be4  quarterly-review.pptx
d91a7c1516d8b94dfbfa0190fd9c6fb211a18925e796862448f766bce79190d8  requirements.in
f80ffe1079f545886cf3c9df582e1e679908589b5975545378b25b8d5f2b039d  requirements.txt
acb0147efb5a654ad3a40ec6f7e84d6b257de67044a36d4108d3c517f7cf8583  run.py
