lysandre HF staff commited on
Commit
a7e9f5d
1 Parent(s): 02bc3af
Files changed (1) hide show
  1. app.py +10 -11
app.py CHANGED
@@ -21,7 +21,8 @@ datasets = {
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  }
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  external_datasets = {
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- "pip": load_dataset("open-source-metrics/pip-external").sort('day')
 
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  }
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@@ -62,17 +63,17 @@ class RequestHandler(SimpleHTTPRequestHandler):
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  print("Initializing ...")
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- for k, v in dataset_keys.items():
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- if len(v) < len(dataset_with_most_splits):
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- warnings.append(
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- f"The {k} dataset does not contain all splits. Missing: {dataset_with_most_splits - v}."
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- f"\nSelecting that split to show the pip install numbers will not work."
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- )
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  for k, v in external_dataset_keys.items():
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  if len(v) < len(external_dataset_with_most_splits):
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  warnings.append(
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- f"The {k} dataset does not contain all splits. Missing: {external_dataset_with_most_splits - v}"
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  f".\nSelecting that split to show the pip install numbers will not work."
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  )
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@@ -82,12 +83,10 @@ class RequestHandler(SimpleHTTPRequestHandler):
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  external_dataset_with_most_splits = list(external_dataset_with_most_splits)
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  external_dataset_with_most_splits.sort()
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- warnings.append("Selecting PyTorch and/or TensorFlow will take a while to compute, and may timeout for issues/PRs..")
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-
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  res = {
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  'internal': dataset_with_most_splits,
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  'external': external_dataset_with_most_splits,
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- 'warnings': []
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  }
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  print(f"Returning: {res}")
 
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  }
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  external_datasets = {
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+ "pip": load_dataset("open-source-metrics/pip-external").sort('day'),
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+ "stars": load_dataset("open-source-metrics/stars-external")
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  }
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  print("Initializing ...")
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+ # for k, v in dataset_keys.items():
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+ # if len(v) < len(dataset_with_most_splits):
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+ # warnings.append(
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+ # f"The {k} dataset does not contain all splits. Missing: {dataset_with_most_splits - v}."
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+ # f"\nSelecting that split to show the pip install numbers will not work."
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+ # )
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  for k, v in external_dataset_keys.items():
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  if len(v) < len(external_dataset_with_most_splits):
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  warnings.append(
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+ f"The {k} external dataset does not contain all splits. Missing: {external_dataset_with_most_splits - v}"
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  f".\nSelecting that split to show the pip install numbers will not work."
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  )
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  external_dataset_with_most_splits = list(external_dataset_with_most_splits)
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  external_dataset_with_most_splits.sort()
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  res = {
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  'internal': dataset_with_most_splits,
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  'external': external_dataset_with_most_splits,
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+ 'warnings': warnings
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  }
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  print(f"Returning: {res}")