From 2f911f77f199d3944d720a92a0c80204b7fa8471 Mon Sep 17 00:00:00 2001 From: HaudinFlorence Date: Fri, 4 Oct 2024 16:11:10 +0200 Subject: [PATCH] Try to fix failing CI tests. --- nbconvert/exporters/html.py | 3 +- nbconvert/exporters/slides.py | 2 +- nbconvert/exporters/templateexporter.py | 8 +- nbconvert/filters/ansi.py | 2 +- nbconvert/filters/citation.py | 2 +- nbconvert/filters/markdown_mistune.py | 26 ++- nbconvert/nbconvertapp.py | 4 +- tests/base.py | 8 +- tests/exporters/files/attachment.ipynb | 12 +- tests/exporters/files/notebook3.ipynb | 4 +- tests/exporters/files/notebook_inject.ipynb | 30 +-- tests/exporters/files/pngmetadata.ipynb | 192 +------------------- tests/exporters/test_html.py | 3 +- tests/files/notebook3.ipynb | 59 ++++++ 14 files changed, 111 insertions(+), 244 deletions(-) create mode 100644 tests/files/notebook3.ipynb diff --git a/nbconvert/exporters/html.py b/nbconvert/exporters/html.py index 89a3558e7..5c6f6c478 100644 --- a/nbconvert/exporters/html.py +++ b/nbconvert/exporters/html.py @@ -265,9 +265,8 @@ def from_notebook_node( # type:ignore[explicit-override, override] if cell.cell_type == "markdown": markdown_collection = markdown_collection + cell.source + "\n" - resources["tableofcontents"] = extract_titles_from_markdown_input(markdown_collection) - resources = self._init_resources(resources) + resources.update({"tableofcontents": extract_titles_from_markdown_input(markdown_collection)}) filter_data_type = WidgetsDataTypeFilter( notebook_metadata=self._nb_metadata, parent=self, resources=resources diff --git a/nbconvert/exporters/slides.py b/nbconvert/exporters/slides.py index e571a90c0..62a11402b 100644 --- a/nbconvert/exporters/slides.py +++ b/nbconvert/exporters/slides.py @@ -41,7 +41,7 @@ def preprocess(self, nb, resources=None): in_fragment = False - for index, cell in enumerate(nb.cells[first_slide_ix + 1 :], start=(first_slide_ix + 1)): + for index, cell in enumerate(nb.cells[first_slide_ix + 1:], start=(first_slide_ix + 1)): previous_cell = nb.cells[index - 1] # Slides are
elements in the HTML, subslides (the vertically diff --git a/nbconvert/exporters/templateexporter.py b/nbconvert/exporters/templateexporter.py index 6b1d66202..0f551b069 100644 --- a/nbconvert/exporters/templateexporter.py +++ b/nbconvert/exporters/templateexporter.py @@ -203,9 +203,8 @@ def default_config(self): enable_async = Bool(False, help="Enable Jinja async template execution").tag( affects_environment=True ) - include_tableofcontents = Bool(False, allow_none=True, help="Enable to include a table of contents").tag( - config=True, affects_template=True + config=True, affects_template=True ) _last_template_file = "" @@ -289,8 +288,7 @@ def _template_extension_default(self): ).tag(config=True) exclude_output = Bool( - False, - help="This allows you to exclude code cell outputs from all templates if set to True.", + False, help="This allows you to exclude code cell outputs from all templates if set to True.", ).tag(config=True) exclude_output_prompt = Bool( @@ -686,5 +684,3 @@ def _init_resources(self, resources): resources["deprecated"] = deprecated resources["include_tableofcontents"] = self.include_tableofcontents return resources - - diff --git a/nbconvert/filters/ansi.py b/nbconvert/filters/ansi.py index a9882e10e..ac91fc89f 100644 --- a/nbconvert/filters/ansi.py +++ b/nbconvert/filters/ansi.py @@ -197,7 +197,7 @@ def _ansi2anything(text, converter): pass # Invalid color specification else: pass # Not a color code - chunk, text = text[: m.start()], text[m.end() :] + chunk, text = text[: m.start()], text[m.end():] else: chunk, text = text, "" diff --git a/nbconvert/filters/citation.py b/nbconvert/filters/citation.py index 0db092a42..e078ceed0 100644 --- a/nbconvert/filters/citation.py +++ b/nbconvert/filters/citation.py @@ -42,7 +42,7 @@ def citation2latex(s): outtext = "" startpos = 0 for citation in parser.citelist: - outtext += s[startpos : citation[1]] + outtext += s[startpos: citation[1]] outtext += "\\cite{%s}" % citation[0] startpos = citation[2] if len(citation) == 3 else -1 outtext += s[startpos:] if startpos != -1 else "" diff --git a/nbconvert/filters/markdown_mistune.py b/nbconvert/filters/markdown_mistune.py index c1889f06e..f81e6fcde 100644 --- a/nbconvert/filters/markdown_mistune.py +++ b/nbconvert/filters/markdown_mistune.py @@ -385,7 +385,7 @@ def _embed_image_or_attachment(self, src: str) -> str: attachment_prefix = "attachment:" if src.startswith(attachment_prefix): - name = src[len(attachment_prefix) :] + name = src[len(attachment_prefix):] if name not in self.attachments: msg = f"missing attachment: {name}" @@ -485,6 +485,7 @@ def render(self, source: str) -> str: """Render the HTML output for a Markdown source.""" return str(super().__call__(source)) + def markdown2html_mistune(source: str) -> str: """Convert a markdown string to HTML using mistune""" return MarkdownWithMath(renderer=IPythonRenderer(escape=False)).render(source) @@ -500,27 +501,24 @@ def heading(self, text, level): self.headings.append((level, text)) return "" # We return an empty string to avoid outputting the headings +def extract_titles (renderer): + mistune.create_markdown(renderer=renderer) + + def extract_titles_from_markdown_input(markdown_input): # Markdown_input is a single string with all the markdown content concatenated - # Initiate list of titles titles_array = [] - - # Instantiate the custom renderer renderer = HeadingExtractor() - - # Create a Markdown parser with the custom renderer - extract_titles = mistune.create_markdown(renderer=renderer) - - # Parse the Markdown extract_titles(markdown_input) + headings = renderer.headings + - # Extracted headings - for level, title in renderer.headings: # renderer.headings is an array for each markdown element + for item, title in headings: children = title["children"] attrs = title["attrs"] raw_text = children[0]["raw"] - level = attrs["level"] + header_level = attrs["level"] id = raw_text.replace(' ', '-') - href= "#" + id - titles_array.append([level, raw_text, id, href]) + href = "#" + id + titles_array.append([header_level, raw_text, id, href]) return titles_array diff --git a/nbconvert/nbconvertapp.py b/nbconvert/nbconvertapp.py index a16327345..d80339123 100755 --- a/nbconvert/nbconvertapp.py +++ b/nbconvert/nbconvertapp.py @@ -223,7 +223,7 @@ def _classes_default(self): return classes - description = Unicode(# type:ignore[assignment] + description = Unicode( # type:ignore[assignment] """This application is used to convert notebook files (*.ipynb) to various other formats. @@ -342,7 +342,7 @@ def _postprocessor_class_changed(self, change): if new: self.postprocessor_factory = import_item(new) - export_format = Unicode(# type:ignore[call-overload] + export_format = Unicode( # type:ignore[call-overload] allow_none=False, help=f"""The export format to be used, either one of the built-in formats {get_export_names()} diff --git a/tests/base.py b/tests/base.py index ff2bec3d5..d854900a8 100644 --- a/tests/base.py +++ b/tests/base.py @@ -176,15 +176,15 @@ def assert_big_text_equal(a, b, chunk_size=80): to give better info than vanilla assertEqual for large text blobs. """ for i in range(0, len(a), chunk_size): - chunk_a = a[i : i + chunk_size] - chunk_b = b[i : i + chunk_size] + chunk_a = a[i: i + chunk_size] + chunk_b = b[i: i + chunk_size] assert chunk_a == chunk_b, "[offset: %i]\n%r != \n%r" % (i, chunk_a, chunk_b) if len(a) > len(b): raise AssertionError( - "Length doesn't match (%i > %i). Extra text:\n%r" % (len(a), len(b), a[len(b) :]) + "Length doesn't match (%i > %i). Extra text:\n%r" % (len(a), len(b), a[len(b):]) ) if len(a) < len(b): raise AssertionError( - "Length doesn't match (%i < %i). Extra text:\n%r" % (len(a), len(b), a[len(b) :]) + "Length doesn't match (%i < %i). Extra text:\n%r" % (len(a), len(b), a[len(b):]) ) diff --git a/tests/exporters/files/attachment.ipynb b/tests/exporters/files/attachment.ipynb index 955314f5a..e618e60ca 100644 --- a/tests/exporters/files/attachment.ipynb +++ b/tests/exporters/files/attachment.ipynb @@ -15,8 +15,10 @@ { "attachments": { "image.png": { - "image/svg+xml": "<svg width="44" height="51" viewBox="0 0 44 51" version="2.0" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:figma="http://www.figma.com/figma/ns">
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" 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DkR5JX62RLfkbO9n08GQp2SegA00OvvflcjX1lf3WndkiO9o02pUqRx8YaA09TQQnplEsi2ICWScgAS9uWfPWQ+T3s49IA31XGmSwCLVhYkHfXsE9X/6VCEczEHMCCLgPAfYQ0h4BtEcH3IOAewToewi0vQQQAtBDBK6wAAi1X8tImIQWEgQhEBQGqSGIUIFElxt1cIOQBQiaW0pwI4IbKFJA6CpCoIMAqDcA9kai3hKpD6rPQL05mLq5ndTINtC6LExE03nO1pxVrFyeo41FKI58Fag7uOvAVRLg9DiKO7aICjpNBNsB6CNAsZ0AtwuIfETCtb2AtO3uwj2fAQz9Av3PR6wAgfxnFwXh3T7Q6j0MMDxQUsHhSDQQUA5EwoGAeDgQDWg/8tsKCudOh/tKajf/iJ1t8gZgR5s8u/aa9PvvFLd8tuspnfDsFEXZoroAaiHELQCwiUBsApAbkWCTF3p9gAvWZPfQzCwQUz+dg6E/90OSg4n0EUSuEYByOBKq9yPzJTi7EOIub82ma7KA3JFNsKNNwaxqRBRo2dFEgI479rl9XSWIDQSwGgS9gwCbhIYbi1yX/puPSPnqplFfsoFPPx9KCMMBxAiQ8kQh4BRJMCCF28qyVRHF7SW1m9IfktSyPU6fYuxok2RJ/rNdgdaPG4ngwiRFWKYaEhGg2CIQVkuCfwkBq4sLS9ahf03QMkraSJFm/8hDsUWeIlE/BYlOJhQnA8HBNuqCoaqIUFNSu2W2YQHOiEqAHW1ULLET91UNu8euO74EUiuCeJUInpNa5JUSd9816H89Y2EhY9N0fomWOSOOjOjyWwL0M4FwjAQ81q69Fihnemu33W9X/XOhNzvaJKjvqx5yHUi8I4mqOakiEEME8h8E2nMujDxXdNiQf+B1/5fVeA856biFG93nP/oQCLnOBgljkGAMAQ2zsLr7qSYAwkLIscU1217YL4MvDAmwozVEEz2jefbw81DXn7T62V4C6R0CfBwEPOvt+41X8YbXMn72WXRinBoPgYB/YH8KFo4BgWOBxEUE1Deeerkqg4ifu1wF3+YQi/FZgB1tfJzaS7XNPW5EONz2mhXjyQqECAK+KAmatAJoKr5l8/sJdI2LWoiA2pHVumbNd3Qo8AFSKREMtZB6X6uCiJu8VHKqE1ebfN3JNH1gRxsnSHVSbVB6XpeAR8dZJePFEGgvqPPSSDR5i4ueQv8bX2S8UW4g6wRa5x41LBJxlSJhKSB910pLyhDxae9JJ1yIk+r0rIOxUYPsaOMwFt07uiDw/pd/I8Iz4yie0SICoA0QnwCMPOIpLHwK/RtCGW2QhVuKQPPso/oBuS8FkpdZZReiQPm/3tpt11oKlMWUYUcbh0Gaq4Y9QEQz4iiakSJq+RUJ8aIA/REPHVjHP9Uygtl2QtuqBw0PUeFlgmCyBDoqlx0QgFd7F2y+J5c6WLltdrQxrBOoHjpTSlgUo1hmspE2INHDwlW0zDPvnYwft5OZTrDUTBNQB5O2Vh19WgQKLkOkSUTQO9Ntdpff/oxAc53mmbfhn93z+BqAHa3JXaDmxvSIe60k8pgUS2uWWjpDAPUaaHcVL9j4YlqFszDHE1C71YKf7b6UCH5CQCdls8MC6F1PccE30b+hOZvt2qEtdrQGViL/SHegRX8tWzcrAn6MpC8CV8Ei7/yNOw3U4mQmEDeB4JwRp4Iuf0JEFRKgMO6KKRREpAdLardOS0GEI6uyozUwa3PlsN8S0I0G2WlL1pCe10HcXVJ0WL1VolqlrXMsyBIEqHrUwQG57wpEcZUkODLjSiFc0qt2y58z3o6NGmBHG8VYzVVDzgEJT2fq1Fr1cAuFWAmgzfPWblgXRQVOYgJpJ9B+WOgb71QIXc6WQMenvYEOgUj0hYYFJxYv2PBhptqwm1x2tN0sptbLBmTJWwTUv1tWypfqgQEBPFrgctcU3vLOxpQFsgAmkAQB9T0fnD1kPEgxJ1NHLgmAlz2jTzyb19d+ZSA+YaHbjdpMJQ9Amp2sWvsqAZcKFyzgHVvdgPNl1gl0BPBuAoAm9etNAMxJdzxlFQQ/uPYtFeXrN1nvoAUb5BFtF6MEqoZcJQnTthZQrSAAQX+EwtZar3/7x12a4o9MwFIEgtXHfAek+I0O8P10KfbVki/tDM+8jf9Il0y7ymFH22G54JyhA0iHTZKgJB3GFEB/0dBdXVS7fls65LEMJpANAoHZR18AumtB2uZwkTaUHHXAN/P96HI+4bLj7pUR+H06nKxAfEVzad/xLthawU42G66B20gnAe/8d//PU3zpNwXiFQJhR8qyCUcGPmj+acpybC6AR7QA0Dx7xFjS9adTsSUibBGgVXlqN9anIofrMgGrEGjf/PDpnp8SykoiOCBZvQRAAF3uEfm8uzHvR7RqYwJI/X9TuokE/Mxb1P9YdrLJUuR6ViSgYhh7F2ya70XvMWojQrI6SgAvRVr+kGx9J9TL+xFtoGrIHEl4SzLGRKQnNCr4Ca8XTIYe17EbgX1Vw89Goj8mexoEIl5QUrt5ld36nQ5989rRtlQNHyRJ3yABixOBqbbLCsTrPLWbHkukHpdlAnYnQHdeUNj88fvVgmRVott6BdI2T/9jjsvHY5TyeupAB7ozEScrkGT7+fbFB41gJ2t3l8H6J0NAOcletZv8WkH4RLV9PBEZkvCY4I6tlYnUcUrZvB3RBiqHj5cg1aLt+F4I72koL/PUbHstvgpcigk4n4AKIwoSblfzsPH0Vp3ArEHRsUW1b78XT3mnlMnLES35z3YB6LfHa0REeKik9+5vspONlxiXyxcC3pot92kicpIAXB1PnyVhkQ6hW+Mp66Qyeelog207p8Zz9lf7mVyadmlJ7ZapWLlrn5MMz31hAukiUFTz3hbP4JLvIohaNb0WSy5JOaF59shvxirnpPy8mzpQ538F32/eIokGmRlSBcUQLu2y4nkb/21WjvOYABP4LwG1MkGA/pAkHPjf1CifEBt71W4ui5LjyKS8G9EG3w9MN3OyKoShIOlXkYfYyTrynudOZZBAr9pNz3ug6EQgaDBthsgXqBo+2rSMgzLzakSrNicEW/StEuiIaDZEwH0o9Mu8Ndvif0gWTRCnMYE8J9AeirFyyC8J8FdGcZ0R9CdLFrw7Lh9Q5dWINtgautLIyarzjgqE61R2svlw23MfM01AhWL03rrtZtTkBIEQ9QwxAu2i4JyR38q0LlaQnzeOVi20BhAqPmaPl0D9bx4sOqWwZv2GHpmcwASYQNIEvDXvNkihfQcQoi7nkpHwr5MWbqOKeeNom3e8P0sSDOhuGyT6g+ekk87H2rf3dM/jaybABFIn0Gv+xndKigpO0QCe7S6NAM8Lzhn+3e7pTrvOC0dL/rOLEGV1V+Oph16A4tqSW7f+lI/b6EqGPzOB9BNA//rdxcX9z1dr0rtLJz18c/c0p13nxcOw5uoh00ni4k7jtZ/dhXJGSc22hzvT+J0JMIHME1APyQLVw/9ARNd1bQ01PLFk/ua3uqY56XNejGhRiqs7jabO7wLCi9nJdhLhdyaQPQLqIVlJ7ebrAcV+o1jS4ev/0expk72WHD+iDVQNPkWS658KqXr6KQF9vWo3/z17iLklJsAEohHYVz3kOtThD2r5l/rf9BT1HoD+17+MVtbuaY4f0RJo7d+UiLAHNdf32cna/ZZl/Z1CoFfN1jtBw+kCSFfHSDW37v2hU/rWvR+OdrTkP7YPAlyijtIQ6LrAM29D+8i2OwS+ZgJMIDcESmq2PAgoZn3Vuv7j3GiR+VYd7WgDrfp0ACFI08o9NRtezzxOboEJMIFECXhrNy9GFDcC4UgVKyHR+nYo71hHq55uAshZiPqUkvkbn7GDMVhHJpCvBEpqN/0OEWoAyNEPxRxn3+bZw89rD0rsuJ5xh5iAcwkEqo5ZGJg94jCn9dC5I1rAHSoosdMMxv1hAk4m4Cm67HqX0A5ych+5b0yACTABJsAEmAATYAJMgAkwASbABJgAE2ACTIAJMAEmwASYABNgAkyACTABJsAEmAATYAJMgAkwASbABJgAE2ACTIAJMAEmwASYABNgAkyACTABJmAHAo4P/G0HI7CO+UXg0ksv7dvS0nI6AJzRq1evXz788MOB/CKQf7115V+XucdMILsEysrKBkkpTyeiM5RzDQQCIzo10HX9FgBgR9sJxKHv7GgdaljuljUIlJaWVkgpVyhtEPkHpDWskn0tHBu9K/souUUmEJWAFjWVE/OKADvavDI3d5YJMIFcEGBHmwvq3CYTYAJ5RYAdbV6ZmzvLBJhALgiwo80FdW6TCTCBvCLAjjavzM2dZQJMIBcE2NHmgjq3yQSYQF4RYEebV+bmzjIBJpALArbfsFBRUVH88ccfR+3H4MGDJW9vTO22Gjt2bH+v13t6JBIZoWma2uFUKIRQX9CfIuKOSCSyo7Cw8I3HHntsfWotce1cECAinDRpUn9d1/tLKQeodwA4SAjRLITYK6XcumvXrrdfeeWVfbnQL1abfr/f9cYbb6j783uIeIwQ4lC1N4SIbmtqanoyVv1s5dt+q8r48eOfR8SzDIB91NTUNNAgzzDZ7/eLNWvWNBoVEEL8vbGx8Xaj/ETTS0tLz0TEvxvVQ8QfNTQ0PGCUb5ReWlp6PSKeGy3f5XL97LHHHtsULe/yyy/37tu3bwYRTZVSnoRxbGkioo2apq1AxOX19fVbosmNJ83n85UDwG9Nygbdbve36+rqWkzKJJU1fvz4C4QQPzeqjIjPNDQ01ETL9/l8LxJRUfc8ROxDREd3T++8JqIXhBDhzmuz91GjRp3n9/ulWZl48pRznThx4nd1XZ8EABcTkXKuhi8iIiHES0KIxQcffHDdokWLgoaFk8goKyv7vpRSbUXu8RJC3NvQ0LC0e0ZZWdlBRHQdEV0LAH275yPizMbGxvu7p+fqOupIMFfKWKldRBxnos9uk7yksojIbAdRUl+IiHgkEV0YTSFd138PAPs52oqKCi0UCl33xRdfzFUOQtWLw8e2i0fEEVLKXyHi3NLS0nsKCwvn1tXV7Y3Wtlma2+1+JhQK9SOiEqNyra2tyhkvN8pPNl0IMZOIxhjVF0IoZlFfRDQaADzdM4moe9J+12qQEKtMZ4X169cndR901lcDiNWrV8/y+XxzAWBAZ3qsd/VFS0Rn6rp+5ieffHJnaWnpspKSkjnLly/fE6tuPPlSSvUFdWq0skT0RPf0cePGjdd1fREiqtGrLV48R2sLMyWt5BdGNRFxP0c2ceLEIa2trf8kot93OlmjumbpHV8Y17S1tW32+Xw/MCsbLa+urq6ZiB6JlteZJoSY2vk5Xe+nnXZaLynlBUbyEHHniSeeuMoo3+rpZWVlo9euXfsPIcQ9iTjZKP06AAB+HAgE1pWXl38nSn7CSZqmNcdbafz48bOFEE12crKqb+xo47WwDcsRkeGIMhwOf+1oL7roojHhcPh1RDwpjd1Uo9I/lZaW3pCoTPVz0awOEZ1TUVER94jMTFZn3sEHH1yGiD1++nfmSykf9Pv9kc5rO737fL5fSin/CQCnpEtvIjpS1/UXy8rKfpaqTESMa/7X5/PNQcR5qbaXi/rsaHNBPUttCiHM5jF7KTXKy8vPEkI8BQC9M6TW78rKyvyJyG5oaHgDEV83qSPC4fAPTfITzpJSmo6+XS7XkoSFWqCCz+f7LRHdHGtQhYiK+RJE/LkQYjYi3k1EyjmbvVxSytt8Pt90s0Kx8ogo5oi2tLT0fCL6dSxZVs3nOVqrWiYNeiFim5EYTdNKfD7fSF3XG81Gcmp1AQC8KIR4W0r5iZSyPyIOFEJ8m4iOM5LfNV3N3ZaVlX3e0NCwsGu62WdE/CMRfduojHpQBwBRH0wZ1TFKnzx5cu/m5uaoDw1VHUR8KdYDPiL6RAhRHKWNEiJq/1KLkqdkt6iHTdHyUklTD7zKysoWEtFPTOQEEXFhW1vbklWrVm2OVq4jlq3zkYgAACAASURBVO4sAFC/TAqjlQGAP/p8vs2NjY2vGuSbJsca0U6bNq1o9+7d6leObQeG7GhNbwF7Z0opW416QER9EFHNhR4YrQwR/R8ALCwqKnq6rq5Oj1amtLR0FADMRMRZMR7mga7rt5aXl/+tvr5+YzRZ3dMOOeSQFZ9++untRHRQ9zx1TUTDJkyYcOrKlSv/ES0/kbRgMDgBAAqM6iDiYqO8zvTHH3886sqCcePGqRHirZ3lur97vd4B6Xqo1FV2eXn5DWZOFhHrAeD6xsbG7V3rdf/c0NDwAQDMrqioWNzW1qae/p/WvQwRuQFg5eTJk0ck0xdN04KRiPGszJ49e64BgCO6t9txHUHE5wFgja7rHyhZKt3lcr1mUD4nyexoc4I9O40iYsRksHQ1EUVzsu8j4jVNTU1qOsH01dTUtA4Arp4wYcJDuq4vVc7PqIIaNUcikUdmzZp16qJFi2IuZ1JLiHw+30MAcJ2RTF3XpwFAyo7WbNpAjbZ69epVZ6SDFdPLy8tHRCKRW4xWjAghbm5oaEhoOqeurm5bRUXF2La2NsXioij97tfc3KyWxs2OkmeaVFRUFGlri/7jS43MiWhWlL6o5w+3lZSU3JWMczdVKAOZth2KZ4CF40QSkdmayx5Olohe1jTtlMbGxphOtissNap0u90nx5rTUw/bPv30UzU6ievlcrkWxSj4A/WzMkYZ0+yKioqDEfF7RoXUAz07bXpRC/illA+ZTAf9LFEn28lGrV0+9NBDyxFxdWda13e1rvXSSy/t1zUtns+tra2G9ykR/RARh3SVo9Yee73eYU1NTbfYwckq3dnRdrWgwz5HIpGoP/mjdRMRnx00aNA59fX1n0fLj5WmlmW5XK4LEXFDjLLXq/W6Mcq0Z6vdZmp+1KismlbYvXt3mVF+POnhcFgt2DfUx+VyxZw2iKedbJVZu3btT4jo5GjtIeKypqYmw7XA0ep0T1O/Rlwu1+Vqbrl7HiJ6O0a13bNiXRvep92dLAD8afTo0ec8+uij6tmBbV7saG1jqsQVdbvdhiOFbtLed7vdkxYuXBj991u3wkaXykm7XC6128hwwk0tCwqHwxONZHRPl1L+sXtat+uU1tQS0SXd5H19qXa7pWMO+GuBGf6gNiQg4v9EawYRP3O73VdFy0s0Te0oRMSovzYQ8RL1cz8Rmb17947rYaD60i0sLJxqx2V27GgTuSMcWhYRL6urq0vLbreOUegfzFBJKX9qlt81b9CgQY8houEoGxHHqngMXevE+1nVIyJ17HfUl6ZpCW97jiooS4lvvPFGKRENitYcEc1Xvzqi5SWT1traqjY+RHsNmDhxouFqkWgV+vfvH4+jbUPE6XV1daFoMqyexo7W6hbKsH7q6XOyy3KMVHO73TfHWLJzarxzeR2jbMM1rOpnv8fjudxIF7N0r9erRt9G/wNhRHzYrL7V8ojo+mg6IWJznz59TDeBRKtnlqaWgyHi29HKRCIRtYojrS8hxF0NDQ3vplVoFoUZ3WRZVIGbyhQBXddjjhTC4fD8dLffsY32T2ZyA4HAmWb5XfPUQzGztaZSyqSmD2KsNniivr7+s656WPnzhAkTDieisw10/OvSpUsNl/oZ1Ikn+S2DQt81SI+a/Oabb0aNc9C1MCJaJkBMV73i/cyONl5Sziz3/lNPPRX1CXKq3UVE05/dJhHXejT92GOPbVUR03pkdCSogDZlZWXfMsqPlj5hwoQjjQKZqPJEZKp/NJm5TJNSnmHS/jMmeUlnIeI2g8pxbWTprBsOh013JSLilnjXX3fKtNo7O1qrWSSL+iDi45lqrqGh4Z+IaBjUBgDiHtEqHYnI9KevlFKtqY37FWM0+3FhYaGtAsjEcLRq00HaX0RktMnjwIqKCqMNBgnrQURvJlzJYhV4w4LFDJJNdRBxvzCJ6WxbRdbz+Xxqr3zUra1ENDSR9g499NCGTz75RC3pMVqnecm1117703hXTui6/oMoi+DbVSKiB412wyWic5bLmn1xDbvooouMts8mrSYRHWtUua2tTT2U+9AoP5F0RNyaSHkrlmVHa0WrZE+nTD9c+JeRo1X75lWA8Xg3A6j1mz6f7wEiMtp51Hv79u0+AFgRC58KCRkOhw0jlRUUFBg+fIslOxf5s2bN8uzcuXOkyRfHHZpmuFQ4IypLKXtsiEm2IRWiMtm6VqnHUwdWsUQO9BBCBDLZrK7rH5nJDwQCPSLjm5V3u93qgYjh2uCOQDNmItrzwuGwYaQuRHxRzQnHFGKhArt27VK72xJau5oF9VXc2nS92NGmiyTLcR4BTdNMI/BLKRNytHV1de8T0V9NSJ03YcKEw0zyO7MMNykAgK0egnV06BudHbPKu6Zp0SKZJaVeOBy2zeoPow7yiNaIDKenTAARTR0tABiGDzRq3OVyGT4UU2tqQ6HQZUZ1VfrEiRPVvKLR3OKX/fr1+4tZfSvmJfqFZcU+mOnkdrsNdxqa1bNSHjtaK1nDYbogogqfZ/YyW5UQtZ7L5VJnSO2Imql2H8Q45kbXdcPRrAogk+6DB430THO65Ua0ae6f7cXxwzDbm9C6HSAi0/WRQohdiWqvVgOUlZXdr4KJG9Q99sILLzzZaH2w2WoDdcqrgUxLJ5sss2rXm4ge1TStRxCYTHYqHA5HDSSeyTatLJsdbXLWYW7xcYsatLuz6gEHHJCwo1V1hRD3E9Fco6hbBQUFak1tj40YHYHK9wu516kLAKxvbGw0Oz6nS1FrfSQi0/3/RUVFVXV1dWlZamWtnttHG546SMJWRORNolreVZFSHm7UabX/PtltoStXrlSrGZ40ki2lvLSioiLatIXhtEGsnWxGbVkhXdM0U0crpUz7Glor9NtOOrCjjWItv9+vlhAZTsCruJtRqiWdpOt6dhc5dmgaiURMR5xJd6ijIiIanroqpUzpSbJZ+ER1XHokEom2UcIo2EnY7XabHnGeKosM1zd1tER0SIbbZ/ExCLCjNQAULbBxl6JJheXrUn+/j5qmJbTMab/KKVwgouGIMwWx7VU7jiAZbSRHCJHSETSjR4/+KyIabi2VUlZ0bbu8vFztvz+ma1rnZ0Rsqqur+0/ntd3ew+Gw6blfUkqzXWN2664t9WVHa2A2IlJnEkV9EdHRKshy1MwkEoUQA5KolnKVTDra8vJytfPKcNE6IhoGiYmnY+pXh5TyPqOyROTrOn1AROVGZQHAlg/BOvtz8sknv20WV8IkqlenCH7PMIG0OYsM65kL8Wa7mgrXr18/OF1KEdGYdMlKRI6UMqFwdonIJqLpZuULCgpScrRKdlFRkXKQRgc9Hth1+sDE0e5wu91mmyDMupFyXjgcTvnBaseXzstGyhDRWRUVFTn5MjfSKd/S2dEaWBwR/22Q1Z7c2toabQ7QrErUPLXfn4jOiZqZ+cSz49xJlZAm6sBEIppsUul9tcvLJD+urLq6uk8QsdGosJSyfU5WRZIiInU0eo8XImY0gIwWI8hAJBJJy7SREOKFHp37b0JhW1tb1X8v+VO2CbCjNSCOiLHmEMcZVE0oee/evepYF49ZJSml4QJ9s3px5IlwOHxTHOUSKrJr165rAcBwDS0iPpaQQJPCiGh4ppiUcpya4mltbTWyleyIn2DSQspZpg86icgoGllCDauTMhDR8JBDAJjZEYM3IblcOD0E2NEacJRSmo0QABHPKy8vH2FQPa7kjp9zN8YqXFBQ8GWsMsnmCyGuPv/884clW797PfXPjIhGmwlU8TZN01I6ibVrm/X19X8noqhBYBDx4HXr1qno/VEdrYqbkI6RdVd9un+WUpqecpEuR9txzMvy7u13uS7Udf0vqR7P3kUef0yAADtaA1gnnXSSCjZs+EBMrZuXUv7aoHrMZHXDh0KhBgCIGU6ura0tY3YiIrfb7X5MTWHEVDpGAfXwKRKJLI6x/G3JypUr0xaNScW9FUJEPZG1Q10Vd/Z70VQ3WyIWrXwyaUKILWb1pJQxj3Exq981z+VyqWOJzKKbnbxnzx4zVl3F8ec0EsjYP3AadcyJKPWAARFNR7VEdHFZWdk1iSpYVlZ20J49exqJ6OR46mqalukQeMfu3bu36bTTTks4yEun/n6/39XW1qZiwUZ1ah3lIoWFhbd21knXu8fjWapGytHkEdGPVezbKHkfeTwew00PUconldTW1hb1AMNOYYh4cdfVEZ3pybx3HANeZ1aXiC73+Xx/UjFszcpxXnoJsKM14YmId5pkt2dJKW/3+Xw3xnuW/UUXXXQGEb1ORHE/TBNCZMNO3+vbt+8LyUyHqIMB161bp4K9qMDbhi9EVEdep/wQrHsDjz766C6Ted+ox60g4n3ZOEWhV69e28yOSweAw0Oh0M+79ynZa4/Ho07CNZ3TJ6If7Ny589WJEycOT7ad7vUmTJhguDmle9l8vM7GP3BGuWbSCTU0NDxLROo4FrOXi4h+W1ZW9vK4ceOmRPsJPmXKlAPKysomjh8//ilN017sfoxLRwR5w+VOiJgVO6kn87qurystLZ0fz2qEioqKA8vKyv5H1/UNRHSeGSRE/NuoUaNuNiuTSl4kEjF8KBZFbljTNMM1uFHKJ52knLkK6mImgIh+XVZWVq1+FRiVi/eL/NFHH/0UESciouluMUQ8MRKJvOPz+R5JxuHOmjWroLy8/Dvjxo379fjx49+NRCL/9Pl8A430z/d0Q8PaCIzpU91U+6HmvXRdV3Oppi8i+q4Q4rt79+5VR66oEcXHqoLa/rhv3z514mqBQRB8tQ70YkScTERGP7sz0kfl/KIsLVM/s6sjkciNpaWlTwshniOidzRN+4+UUn2pDFAbHaSU329razvf4Gd5d1Zqrerkjq3N3fPScv3kk0++5PP5lMMfGUsgEf0lnfPEsdpzuVxLIpGI2RSTmu+fv3bt2ht8Pt+z6t5RX666rpcgojrk8IQJEyaoUyFMp7I69VDBcUpLS1V7pvOxHUF5poRCock+n+8dAHgeEV8mot2RSKTN5XKFIpGImsMvklKWAIA6B+xoIhrxySefqLllT9cfW0R0GgCYHjPfqWO+vdve0RJRRkd79fX1jePHj38AEa+I8+YoICJ1Q6q/mC8hxA0NDQ2vlpWVXUBk+IA66blTMwWEEDdLKT8loilRyqmf3BdJKS9SeZHIf0M/mOgZRQzsUDKytMVVBQW/I5oSXdNcLtfCrteZ/rxy5cq1Pp/vKSK6MEZbfdXPelVGMe76xRwKhWI+NO0qu6mp6T6fz3cgES1QD2675nX/rI7BIaLjAeB4IlJL80At/1U6qHddN1s1tp80drT74fjvhakB/lvMup8QMeocnNIYEdMyEhw0aNBPEDGtIfRI/RZEnN/Q0PC/Slc1ijCiTESGW1mN6sSTrv6/3G73DER8Pp7yiZYhorUtLS3feuKJJ7JyXLTX633YLBiQ0l/pVF9f/1qifUm1vKZp1xJRa7JyXC5XwgGAGhsbbyMitbTNbPVMsir1qIeIytHyKwoB2ztaKaXh01P1UzdKnxNOUkdYezweHyK+lHDl6BVUHNaLGhsb53Rmmx37kilHq9quq6sLud3u8YhoeERMp46JvCPi8oMOOujMZ555pn0KJZG6yZZdvnz5HkRUJ+8avoQQMUe8hpVTyFi5cuV7APAz9QWbjBhETGhE29nG448//n+hUOjbKt5uZ1oG30+oqKhQUwz86kbA9o5WCGHoaBExLY5WMVMPGUaNGvU9RFSjhKT+WZQcNXosLCz8pvoH6GoLM0eb7D9ZV/lmn+vq6pobGxuvEkKoB1pmMR7MxLTnqf4JIb7d2Ng4Jd6jxGMKTaCAlHKDSfEd/fr1M30wZVI35azHH3/8biHERCJK+PThVI7vXrVq1ebCwsITEXEqImbkiHlEVGEv7y4oKDD8hZkyQBsLSJsjyhUDs9FeOh2t6p/f71cTlT8vLy9fHIlEfiaEuFwt+I+j76re34QQt6mVDNHKE9FOox1ORmtEo8lJJa2hoeHpioqK41pbW6cIIaaoB3zxyOv4J3tKCLG8vr7+mXjqZKKMmo3x+XyGqx+klHcsWrTIKAhNJlTqIbOxsbF+woQJQ3RdV79mZsZz/yi+HStTesiLN6FjKdtDfr9/+dq1a3+IiLMA4GSjUypiyVWDDSHEeiJ6SQjRUFBQ8Gyyy+U0TVNO2iywT8Jny8XSP9v5mV4In9H+qCUmO3fubDM6017dnI2NjWmNHdu1Q2p5U1tb2+mIeAYADJVS9hFCqPlUdT6Tujk2SCnXFRUVraqrqzOcg+0qM52fS0tL1YMstb416svlcp2+cuXKV6JmAkBZWdmgjqhX6km+evrtJqIwIn5CRCqgi9rh9eqoUaP+lckVBUb6dU8fP378BYj4VPf0jusve/XqNXDZsmUZ285s0K5hsrp/IpHI2ZFI5AwhRB8ppVcI0aZCdCKi+vtQLQdUGxEMhaSQoZYd7t279yyXy/V9IlInA6tfh51/agChloipP6XTJwCg1kCrPzVCfi0X93QK3c1pVVs72rFjx/YvLi42W5y9qqmp6YKcEs5h46k62hyqnlTTPp/vX0a77Yio9vHHH69OSjBXYgIpErD1HG1xcXHUiPmdTIjojc7P/O5sAuXl5ROMnKw6n8zlct3mbALcOysTsLWjFUKYbiEUQrCjtfLdlybdJk+e3FtKabY29s76+vrP09Qci2ECCROwtaONdUKA2+1ekzARrmA7AoFAYCERGc3F73W73b+zXadYYUcRsK2jraio0BDRMDCLilFQV1e3zVHW4s70IFBaWnq9wc629rKIeDM/tOmBjROyTMC2jjYUCpUS0WFGvIQQiQQZMRLD6RYmUF5erqKFGQYRR8TN/fr1a995Z+FusGp5QMCWjrYjQtbtRvZRJ4K63W4ObmEEyAHpPp/vYimlin9reA8j4nW5XjfrANTchTQQMLxJ0yA7IyLUlMGXX36p5uRURCyj10N1dXVqLSu/HEjA5/P9hIj+HGOx/31qA4YDu89dsiEBW+0MUwGmQ6HQciJSGwSMXruEEPOMMjndvgTKy8sP0XV9ERGZBhhXi+oLCwtvsG9PWXOnEbCFo1VBqKWUN0YikatinRiLiNfU19erLX38chABFTg9Eoncow5cjNGtIABMVPEbYpTjbCaQNQKWdLTl5eVjdV0fiIiDpZRjI5GIOlsrnmmOlY2NjX/OGj1uKKMErr322sIPP/xwspTyeimlCopi2p7af69p2g8bGhrWmRbkTCaQZQKWdLRSSrXuUQUh3i/4cQw2OzRNUwfx8csBBFSchQ8++OCfagQby8F2dFcq+zc0NDzmgO5zFxxGIJ5RYi66nOj610av1/tNnjLIhaky02ZBQcH2BKKvqehoUxsaGkyPbsmMpiyVCcQmYElHS0TxOtovpZQ/bmpqKlMnocbuLpewC4GOQw1XxaHvLl3Xz21qanokjrJchAnkhIAlHa0QIpajVSd9VhcWFh7xxBNP8MaEnNw6mW+UiJ40a4WIXna5XCc/+eSTz5mV4zwmkGsClpyjRcQejhYR/y2lVMGzn+ndu3fj0qVLkz5/KdfQs9W+OhMMAAxP1tN1PemTIrLRh+LiYnUMizque7+z34joP5qm3VRfX/9gRx+zoQ63wQSSJmD+GDdpsalVVNGYgsHgBAD4HBF3IeL2lStX/js1qVzbjgRKS0tfBoD2Q/8QcYs6JeGwww5bumjRIrWMi19MwBYELOlobUGOlcwKgbKysssB4OhQKPTEk08+uYZHsFnBzo0wASbABJgAE2ACTIAJMAEmwATygUBL5Uh1mCC/mAATsBkBJ/7vWnJ5VzruCynaTgpUD70wHbJYBhNgAtkh0Fw97CZEVCfwOurlWEfrGXTQk5JgYUvl4NMdZTHuDBNwKIFA9dCZQDCmqHZ9j+Wddu+yYx0t/mhNGICW6aA90Vw59ES7G4r1ZwJOJhCsGj4RiP6IqN/jxH461tEqY2lFxYsQoASQ/tpadazp0eRONC73iQnYgUBz1ZBzCGg5kPjIM2qU6W5AO/Qnmo6OdrQe/1sfAchGIuynQ/hvrXOPOzoaBE5jAkwgNwRaqo85CwHrJZEbAO/FSXWGOxlzo2F6WnW0o1WISNPuVu+S4MhIJPRSc+Xw49ODjqUwASaQCoFA9ZBxknCVJCgRiCFZHL4/FXlWrut4R+udt/nvCLhZGYEIDgOULwTnjDjVykZh3ZiA0wk0Vw6fDKRGslik+kogH+vlf9exJ6M43tF2bNn8eoKdCHpTRP+bmhdy+s3M/WMCViQQqBz2Y0T9YUnwdVArjfT2X55W1DcdOjne0SpIXihZikB7O4FJAC+CeDJYPUQFruEXE2ACWSLQXDW8WgLdLQm/9j2ItKZ4wXsqeJBjX1931rE9BABcsGYvEt3etY9q8p0krGiuHsqnpXYFw5+ZQAYI0L2jCwKVw+4mkvO7i0dy/ap7mtOu8yZ6F/m/fUCgdc8HauqguxER4WFvUf9Z6H+eY9x2h8PXTCBFAlQ96uBmCtYB0VndRQmAf3oXbPl293SnXefFiFYZDf2vf4lA6tDHHi8iuDzYuvPF4JyhA3pkcgITYAJJE1CbhYIU+Fc0J6uEEqLjR7Oqn3njaFVnPb333ImIn0e7ayTRKTICq4PVx3wnWj6nMQEmkBiBfVXDKhDxVbW0MmpNxNdKajfHcy5c1Op2SswrR4uVu/YB6bcZGYgADiUpnmvfc21UiNOZABMwJUArKrR91cfMA6IVkshjVBhB/tIoz2npeTNH22k4+m0/b/PnB74PBAd3pkV7F0B/8WDRLKx9e0+0fE5jAkygJ4GWquGDJMllEuC7PXP/m4IIL5XUbjnzvynO/pRXI1plSvz5pwFEcWsss0rAi4PU+ta+2UePiVWW85kAEwBovumYKTrIN2M5WcWKhJ4Xc7Od90XejWjbjewf7Qm0fvmeioHQCcLoXSBJInGbd3DJ3K8ighmV5HQmkJ8E1IqeltYv7taJpsRDQEN63lO7Na8GMHk3olU3AvrXBBHFnHh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" + ] } }, "cell_type": "markdown", @@ -28,7 +30,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -42,9 +44,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.4" + "version": "3.12.5" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/tests/exporters/files/notebook3.ipynb b/tests/exporters/files/notebook3.ipynb index 6f46df1f6..62c10d908 100644 --- a/tests/exporters/files/notebook3.ipynb +++ b/tests/exporters/files/notebook3.ipynb @@ -37,7 +37,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -51,7 +51,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.5" + "version": "3.12.5" } }, "nbformat": 4, diff --git a/tests/exporters/files/notebook_inject.ipynb b/tests/exporters/files/notebook_inject.ipynb index d60b701bd..c4c5446c8 100644 --- a/tests/exporters/files/notebook_inject.ipynb +++ b/tests/exporters/files/notebook_inject.ipynb @@ -55,9 +55,7 @@ "outputs": [ { "data": { - "image/png": [ - "" - ] + "image/png": "" }, "execution_count": null, "metadata": { @@ -78,9 +76,7 @@ "outputs": [ { "data": { - "image/jpeg": [ - "" - ] + "image/jpeg": "" }, "execution_count": null, "metadata": { @@ -101,9 +97,7 @@ "outputs": [ { "data": { - "image/png": [ - "\">" - ] + "image/png": "\">" }, "execution_count": null, "metadata": {}, @@ -120,9 +114,7 @@ "outputs": [ { "data": { - "image/jpeg": [ - "\">" - ] + "image/jpeg": "\">" }, "execution_count": null, "metadata": {}, @@ -139,9 +131,7 @@ "outputs": [ { "data": { - "image/png": [ - "abcd" - ] + "image/png": "abcd" }, "execution_count": null, "metadata": { @@ -160,9 +150,7 @@ "outputs": [ { "data": { - "image/png": [ - "abcd" - ] + "image/png": "abcd" }, "execution_count": null, "metadata": { @@ -183,9 +171,7 @@ "outputs": [ { "data": { - "image/png": [ - "abcd" - ] + "image/png": "abcd" }, "execution_count": null, "metadata": { @@ -302,7 +288,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.5" + "version": "3.12.5" }, "title": "TITLE", "widgets": { diff --git a/tests/exporters/files/pngmetadata.ipynb b/tests/exporters/files/pngmetadata.ipynb index a8da9b4e8..2862d40cc 100644 --- a/tests/exporters/files/pngmetadata.ipynb +++ b/tests/exporters/files/pngmetadata.ipynb @@ -4,7 +4,10 @@ "cell_type": "code", "execution_count": 1, "metadata": { - "collapsed": false + "collapsed": false, + "jupyter": { + "outputs_hidden": false + } }, "outputs": [ { @@ -19,183 +22,7 @@ }, { "data": { - "image/png": [ - "iVBORw0KGgoAAAANSUhEUgAAAu0AAAH/CAYAAADjSONqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\n", - "AAAWJQAAFiUBSVIk8AAAIABJREFUeJzt3X/M7ndd3/HXezmJG7QpEdqyrbD21OYgLMbNmRK6aM+w\n", - 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"text/plain": [ "" ] @@ -220,8 +47,9 @@ ], "metadata": { "kernelspec": { - "display_name": "IPython mydev (Python 3)", - "name": "python3_mydev" + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -233,9 +61,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.4.2" + "version": "3.12.5" } }, "nbformat": 4, - "nbformat_minor": 0 + "nbformat_minor": 4 } diff --git a/tests/exporters/test_html.py b/tests/exporters/test_html.py index 810de47ec..1495f2a07 100644 --- a/tests/exporters/test_html.py +++ b/tests/exporters/test_html.py @@ -185,7 +185,6 @@ def test_javascript_injection(self): (output, resources) = HTMLExporter(template_name=template).from_filename( self._get_notebook("notebook_inject.ipynb") ) - # Check injection in the metadata.title of the Notebook assert "" not in output @@ -237,7 +236,7 @@ def test_javascript_injection(self): (output, resources) = HTMLExporter( template_name=template, sanitize_html=True ).from_filename(self._get_notebook("notebook_inject.ipynb")) - + assert "" not in output assert "" not in output assert "" not in output diff --git a/tests/files/notebook3.ipynb b/tests/files/notebook3.ipynb new file mode 100644 index 000000000..6f46df1f6 --- /dev/null +++ b/tests/files/notebook3.ipynb @@ -0,0 +1,59 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "test input: input value\n" + ] + }, + { + "data": { + "text/plain": [ + "'input value'" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "input(\"test input:\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +}