upstream/ipython Files · IPython/nbformat/v1/tests/nbexamples.py

Merge pull request from wking/uniq_stable-comprehension...

Merge pull request from wking/uniq_stable-comprehension utils/data: Use list comprehension for uniq_stable() This should be faster than and explicit for loop. Also, a set makes more sense than a dict if we only care about values. After these changes, the resulting code is the same as Dave Kirby's uniqify() suggestion on Peter Bengtsson's blog [1]. [1]: http://www.peterbe.com/plog/uniqifiers-benchmark

Brian E. Granger - - Load All Authors

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             nbexamples.py
        
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      from ..nbbase import (

          NotebookNode,

          new_code_cell, new_text_cell, new_notebook

      )

      nb0 = new_notebook()

      nb0.cells.append(new_text_cell(

          text='Some NumPy Examples'

      ))

      nb0.cells.append(new_code_cell(

          code='import numpy',

          prompt_number=1

      ))

      nb0.cells.append(new_code_cell(

          code='a = numpy.random.rand(100)',

          prompt_number=2

      ))

      nb0.cells.append(new_code_cell(

          code='print a',

          prompt_number=3

      ))

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				from ..nbbase import (
				NotebookNode,
				new_code_cell, new_text_cell, new_notebook
				)



				nb0 = new_notebook()

				nb0.cells.append(new_text_cell(
				text='Some NumPy Examples'
				))


				nb0.cells.append(new_code_cell(
				code='import numpy',
				prompt_number=1
				))

				nb0.cells.append(new_code_cell(
				code='a = numpy.random.rand(100)',
				prompt_number=2
				))

				nb0.cells.append(new_code_cell(
				code='print a',
				prompt_number=3
				))