Uploaded Test files

venv/Lib/site-packages/nbformat/v4/tests/nbexamples.py

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+# -*- coding: utf-8 -*-
+
+import os
+
+from ..._compat import encodebytes
+from ..nbbase import (
+    new_code_cell, new_markdown_cell, new_notebook,
+    new_output, new_raw_cell
+)
+
+# some random base64-encoded *text*
+png = encodebytes(os.urandom(5)).decode('ascii')
+jpeg = encodebytes(os.urandom(6)).decode('ascii')
+
+cells = []
+cells.append(new_markdown_cell(
+    source='Some NumPy Examples',
+))
+
+
+cells.append(new_code_cell(
+    source='import numpy',
+    execution_count=1,
+))
+
+cells.append(new_markdown_cell(
+    source='Cell with attachments',
+    attachments={
+        'attachment1': {
+            'text/plain': '\n'.join(['a', 'b', 'c']),
+            'application/vnd.stuff+json': ['a', 1, 'x'],
+        }
+    }
+))
+
+cells.append(new_raw_cell(
+    source='A random array',
+))
+
+cells.append(new_markdown_cell(
+    source=u'## My Heading',
+))
+
+cells.append(new_code_cell(
+    source='a = numpy.random.rand(100)',
+    execution_count=2,
+))
+cells.append(new_code_cell(
+    source='a = 10\nb = 5\n',
+    execution_count=3,
+))
+cells.append(new_code_cell(
+    source='a = 10\nb = 5',
+    execution_count=4,
+))
+
+cells.append(new_code_cell(
+    source=u'json_outputs()',
+    execution_count=12,
+    outputs=[new_output(
+        output_type=u'display_data',
+        data={
+            'text/plain': u'<json outputs>',
+            'application/json': {
+                'key': 'value',
+                'x': 5,
+                'lis': [1, 2, 'x']
+            },
+            'application/vnd.listofstr+json': ['a', 'b', 'c'],
+            'application/vnd.numbers+json': [1, 2, 3],
+            'application/vnd.number+json': 42,
+            'application/vnd.object+json': {
+                'number': 5,
+                'array': [1,2],
+                'str': 'x'
+            },
+            'application/vnd.string+json': 'ok',
+        },
+    )]
+))
+
+cells.append(new_code_cell(
+    source=u'print "ünîcødé"',
+    execution_count=3,
+    outputs=[new_output(
+        output_type=u'execute_result',
+        data={
+            'text/plain': u'<array a>',
+            'text/html': u'The HTML rep',
+            'text/latex': u'$a$',
+            'image/png': png,
+            'image/jpeg': jpeg,
+            'image/svg+xml': u'<svg>',
+            'application/json': {
+                'key': 'value'
+            },
+            'application/javascript': u'var i=0;'
+        },
+        execution_count=3
+    ),new_output(
+        output_type=u'display_data',
+        data={
+            'text/plain': u'<array a>',
+            'text/html': u'The HTML rep',
+            'text/latex': u'$a$',
+            'image/png': png,
+            'image/jpeg': jpeg,
+            'image/svg+xml': u'<svg>',
+            'application/json': {
+                'key': 'value'
+            },
+            'application/javascript': u'var i=0;'
+        },
+    ),new_output(
+        output_type=u'error',
+        ename=u'NameError',
+        evalue=u'NameError was here',
+        traceback=[u'frame 0', u'frame 1', u'frame 2']
+    ),new_output(
+        output_type=u'stream',
+        text='foo\rbar\r\n'
+    ),new_output(
+        output_type=u'stream',
+        name='stderr',
+        text='\rfoo\rbar\n'
+    )]
+))
+
+nb0 = new_notebook(cells=cells,
+    metadata={
+        'language': 'python',
+    }
+)
+
+