Span dict
Author: c | 2025-04-24
Translate Span dict. See authoritative translations of Span dict in Spanish with example sentences and audio pronunciations. Traduce span dict. Mira traducciones acreditadas de span dict en espa ol con oraciones de ejemplo y pronunciaci n de audio.
SPAN-DICT WORD OF THE DAY LIST - SpanishDict
–A finding in a policy. Each finding is an actionable recommendation that can be used to improve the policy.findingDetails (string) –A localized message that explains the finding and provides guidance on how to address it.findingType (string) –The impact of the finding.Security warnings report when the policy allows access that we consider overly permissive.Errors report when a part of the policy is not functional.Warnings report non-security issues when a policy does not conform to policy writing best practices.Suggestions recommend stylistic improvements in the policy that do not impact access.issueCode (string) –The issue code provides an identifier of the issue associated with this finding.learnMoreLink (string) –A link to additional documentation about the type of finding.locations (list) –The list of locations in the policy document that are related to the finding. The issue code provides a summary of an issue identified by the finding.(dict) –A location in a policy that is represented as a path through the JSON representation and a corresponding span.path (list) –A path in a policy, represented as a sequence of path elements.(dict) –A single element in a path through the JSON representation of a policy. NoteThis is a Tagged Union structure. Only one of the following top level keys will be set: index, key, substring, value. If a client receives an unknown member it will set SDK_UNKNOWN_MEMBER as the top level key, which maps to the name or tag of the unknown member. The structure of SDK_UNKNOWN_MEMBER is as follows:'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}index (integer) –Refers to an index in a JSON array.key (string) –Refers to a key in a JSON object.substring (dict) –Refers to a substring of a literal string in a JSON object.start (integer) –The start index of the substring, starting from 0.length (integer) –The length of the substring.value (string) –Refers to the value associated with a given key in a JSON object.span (dict) –A span in a policy.start (dict) –The start position of the span (inclusive).line (integer) –The line of the position, starting from 1.column (integer) –The column of the position, starting from 0.offset (integer) –The offset within the policy that corresponds to the position, starting from 0.end (dict) –The end position of the span (exclusive).line (integer) –The line of the position, starting from 1.column (integer) –The column of the position, starting from 0.offset (integer) –The offset within the policy that corresponds to the position, starting from 0.nextToken (string) –A token used for pagination of results returned.ExceptionsAccessAnalyzer.Client.exceptions.ValidationExceptionAccessAnalyzer.Client.exceptions.InternalServerExceptionAccessAnalyzer.Client.exceptions.ThrottlingExceptionAccessAnalyzer.Client.exceptions.AccessDeniedException Translate Span dict. See authoritative translations of Span dict in Spanish with example sentences and audio pronunciations. Traduce span dict. Mira traducciones acreditadas de span dict en espa ol con oraciones de ejemplo y pronunciaci n de audio. Less than 2 seconds for complete documents, like the Adobe’s PDF manuals (756, resp. 1,310 pages), or the Pandas manual with more than 3,000 pages.The method is about three times faster than pdftotext (component of XPDF, the base library of Poppler) and 30 to 45 times (!) faster than popular pure Python packages like pdfminer or PyPDF2.If you suspect that text in your document is physically not stored in reading sequence, simply use the sort parameter of the method: page.get_text(sort=True). This will return the page’s text paragraphs arranged in the sequence “top-left to bottom-right” and should deliver satisfying results for many or most documents.You can also restrict extraction to certain areas of the page. For example, if pages have a two-column layout, you could define two rectangles representing those areas and then separately extract the corresponding text portions:Extracting Text with all DetailThe same method can also deliver detailed information alongside the extracted text, such aswriting direction and writing mode (horizontal / vertical)color (RGB)font name and font propertiesposition information (by single characters, lines and paragraphs)imagesautomatic substitution of white spacesautomatic hyphenation detection and handlingLet us pick a small example from the header page of PyMuPDF’s documentation PDF manual (download it from here):The “dict” output option of page.get_text() above returns a Python multi-layered dictionary of dictionaries. A picture is worth a thousand words, so you may rather want to look at this image: top level are “block” dictionaries, which either represent an image or a text paragraph. Like all lower-level dictionaries, a block contains its position on the page (the “boundary box” = “bbox”).A text block contains a list of "line” dictionaries.Apart from its bbox, a “line” dictionary contains the writing direction (“dir”: a tuple), the writing mode (“wmode”: either horizontal or vertical) and a list of text “span” dictionaries.A text span is a string of characters with identical properties in terms of font, font size and color. A line will have multiple spans only, if its text has multiple font attributes or colors.Apart from its bbox, a span contains the insertion start point (called “origin”) and reports basic properties of the font it uses, like the font ascender and descender values. Consult this article for some background.With the above plethora of information, it is possible to regenerate the page appearance with high fidelity. It is used by this example set of scripts, which can replace selected fonts of an existing PDF:You don’t like the look of the Courier font in some technical document? Try to replace it with “Ubuntu Mono” using these scripts!Extracting Special Output FormatsAs mentioned above, use the method’s positional parameter to request other text output formats. Create HTML pages (or similar formats like XHTML and XML), that can be displayed in your internet browser, like so:Like the “dict” output above, HTML output also includes any images on the page.Using PyMuPDF as a Module in Text ExtractionUsing PyMuPDF as a Python module for text extraction via the line command python -m pymupdf gettext ... helps avoid writing scripts in manyComments
–A finding in a policy. Each finding is an actionable recommendation that can be used to improve the policy.findingDetails (string) –A localized message that explains the finding and provides guidance on how to address it.findingType (string) –The impact of the finding.Security warnings report when the policy allows access that we consider overly permissive.Errors report when a part of the policy is not functional.Warnings report non-security issues when a policy does not conform to policy writing best practices.Suggestions recommend stylistic improvements in the policy that do not impact access.issueCode (string) –The issue code provides an identifier of the issue associated with this finding.learnMoreLink (string) –A link to additional documentation about the type of finding.locations (list) –The list of locations in the policy document that are related to the finding. The issue code provides a summary of an issue identified by the finding.(dict) –A location in a policy that is represented as a path through the JSON representation and a corresponding span.path (list) –A path in a policy, represented as a sequence of path elements.(dict) –A single element in a path through the JSON representation of a policy. NoteThis is a Tagged Union structure. Only one of the following top level keys will be set: index, key, substring, value. If a client receives an unknown member it will set SDK_UNKNOWN_MEMBER as the top level key, which maps to the name or tag of the unknown member. The structure of SDK_UNKNOWN_MEMBER is as follows:'SDK_UNKNOWN_MEMBER': {'name': 'UnknownMemberName'}index (integer) –Refers to an index in a JSON array.key (string) –Refers to a key in a JSON object.substring (dict) –Refers to a substring of a literal string in a JSON object.start (integer) –The start index of the substring, starting from 0.length (integer) –The length of the substring.value (string) –Refers to the value associated with a given key in a JSON object.span (dict) –A span in a policy.start (dict) –The start position of the span (inclusive).line (integer) –The line of the position, starting from 1.column (integer) –The column of the position, starting from 0.offset (integer) –The offset within the policy that corresponds to the position, starting from 0.end (dict) –The end position of the span (exclusive).line (integer) –The line of the position, starting from 1.column (integer) –The column of the position, starting from 0.offset (integer) –The offset within the policy that corresponds to the position, starting from 0.nextToken (string) –A token used for pagination of results returned.ExceptionsAccessAnalyzer.Client.exceptions.ValidationExceptionAccessAnalyzer.Client.exceptions.InternalServerExceptionAccessAnalyzer.Client.exceptions.ThrottlingExceptionAccessAnalyzer.Client.exceptions.AccessDeniedException
2025-03-26Less than 2 seconds for complete documents, like the Adobe’s PDF manuals (756, resp. 1,310 pages), or the Pandas manual with more than 3,000 pages.The method is about three times faster than pdftotext (component of XPDF, the base library of Poppler) and 30 to 45 times (!) faster than popular pure Python packages like pdfminer or PyPDF2.If you suspect that text in your document is physically not stored in reading sequence, simply use the sort parameter of the method: page.get_text(sort=True). This will return the page’s text paragraphs arranged in the sequence “top-left to bottom-right” and should deliver satisfying results for many or most documents.You can also restrict extraction to certain areas of the page. For example, if pages have a two-column layout, you could define two rectangles representing those areas and then separately extract the corresponding text portions:Extracting Text with all DetailThe same method can also deliver detailed information alongside the extracted text, such aswriting direction and writing mode (horizontal / vertical)color (RGB)font name and font propertiesposition information (by single characters, lines and paragraphs)imagesautomatic substitution of white spacesautomatic hyphenation detection and handlingLet us pick a small example from the header page of PyMuPDF’s documentation PDF manual (download it from here):The “dict” output option of page.get_text() above returns a Python multi-layered dictionary of dictionaries. A picture is worth a thousand words, so you may rather want to look at this image: top level are “block” dictionaries, which either represent an image or a text paragraph. Like all lower-level dictionaries, a block contains its position on the page (the “boundary box” = “bbox”).A text block contains a list of "line” dictionaries.Apart from its bbox, a “line” dictionary contains the writing direction (“dir”: a tuple), the writing mode (“wmode”: either horizontal or vertical) and a list of text “span” dictionaries.A text span is a string of characters with identical properties in terms of font, font size and color. A line will have multiple spans only, if its text has multiple font attributes or colors.Apart from its bbox, a span contains the insertion start point (called “origin”) and reports basic properties of the font it uses, like the font ascender and descender values. Consult this article for some background.With the above plethora of information, it is possible to regenerate the page appearance with high fidelity. It is used by this example set of scripts, which can replace selected fonts of an existing PDF:You don’t like the look of the Courier font in some technical document? Try to replace it with “Ubuntu Mono” using these scripts!Extracting Special Output FormatsAs mentioned above, use the method’s positional parameter to request other text output formats. Create HTML pages (or similar formats like XHTML and XML), that can be displayed in your internet browser, like so:Like the “dict” output above, HTML output also includes any images on the page.Using PyMuPDF as a Module in Text ExtractionUsing PyMuPDF as a Python module for text extraction via the line command python -m pymupdf gettext ... helps avoid writing scripts in many
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