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What is Dumper.dll? What Does It Do?link
Dumper.dll, is a dynamic link library developed by Perl.
The Dumper.dll library is 0.03 MB. The download links have been checked and there are no problems. You can download it without a problem. Currently, it has been downloaded 21606 times and it has received 3.9 out of 5 stars from our users.
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Table of Contents
- Methods for Fixing Dumper.dll
- Method 5: Fixing the Dumper.dll Error by Manually Updating Windows
Operating Systems Compatible with the Dumper.dll Librarylink
How to Download Dumper.dll Library?link
- First, click on the green-colored 'Download' button in the top left section of this page (The button that is marked in the picture).
- The downloading page will open after clicking the Download button. After the page opens, in order to download the Dumper.dll library the best server will be found and the download process will begin within a few seconds. In the meantime, you shouldn't close the page.
Methods for Fixing Dumper.dlllink
![Dumper 1 2 Dumper 1 2](https://www.equipmatching.com/uploads/images/ood164sfqg.jpg)
ATTENTION! Before starting the installation, the Dumper.dll library needs to be downloaded. If you have not downloaded it, download the library before continuing with the installation steps. If you don't know how to download it, you can immediately browse the dll download guide above.
Method 1: Installing the Dumper.dll Library to the Windows System Directorylink
- The file you are going to download is a compressed file with the '.zip' extension. You cannot directly install the '.zip' file. First, you need to extract the dynamic link library from inside it. So, double-click the file with the '.zip' extension that you downloaded and open the file.
- You will see the library named 'Dumper.dll' in the window that opens up. This is the library we are going to install. Click the library once with the left mouse button. By doing this you will have chosen the library.
- Click the 'Extract To' symbol marked in the picture. To extract the dynamic link library, it will want you to choose the desired location. Choose the 'Desktop' location and click 'OK' to extract the library to the desktop. In order to do this, you need to use the Winrar program. If you do not have this program, you can find and download it through a quick search on the Internet.
- Copy the 'Dumper.dll' library you extracted and paste it into the 'C:WindowsSystem32' directory.
- If your system is 64 Bit, copy the 'Dumper.dll' library and paste it into 'C:WindowssysWOW64' directory.
NOTE! On 64 Bit systems, you must copy the dynamic link library to both the 'sysWOW64' and 'System32' directories. In other words, both directories need the 'Dumper.dll' library.
- In order to complete this step, you must run the Command Prompt as administrator. In order to do this, all you have to do is follow the steps below.
NOTE! We ran the Command Prompt using Windows 10. If you are using Windows 8.1, Windows 8, Windows 7, Windows Vista or Windows XP, you can use the same method to run the Command Prompt as administrator.
- Open the Start Menu and before clicking anywhere, type 'cmd' on your keyboard. This process will enable you to run a search through the Start Menu. We also typed in 'cmd' to bring up the Command Prompt.
- Right-click the 'Command Prompt' search result that comes up and click the Run as administrator' option.
- Let's copy the command below and paste it in the Command Line that comes up, then let's press Enter. This command deletes the Dumper.dll library's problematic registry in the Windows Registry Editor(The library that we copied to the System32 directory does not perform any action with the library, it just deletes the registry in the Windows Registry Editor. The library that we pasted into the System32 directory will not be damaged).
%windir%System32regsvr32.exe /u Dumper.dll
- If you are using a 64 Bit operating system, after doing the commands above, you also need to run the command below. With this command, we will also delete the Dumper.dll library's damaged registry for 64 Bit (The deleting process will be only for the registries in Regedit. In other words, the dll file you pasted into the SysWoW64 folder will not be damaged at all).
%windir%SysWoW64regsvr32.exe /u Dumper.dll
- In order to cleanly recreate the dll library's registry that we deleted, copy the command below and paste it into the Command Line and hit Enter.
%windir%System32regsvr32.exe /i Dumper.dll
- Windows 64 Bit users must run the command below after running the previous command. With this command, we will create a clean and good registry for the Dumper.dll library we deleted.
%windir%SysWoW64regsvr32.exe /i Dumper.dll
- You may see certain error messages when running the commands from the command line. These errors will not prevent the installation of the Dumper.dll library. In other words, the installation will finish, but it may give some errors because of certain incompatibilities. After restarting your computer, to see if the installation was successful or not, try running the program that was giving the dll error again. If you continue to get the errors when running the program after the installation, you can try the 2nd Method as an alternative.
Method 2: Copying The Dumper.dll Library Into The Program Installation Directorylink
- First, you must find the installation directory of the program (the program giving the dll error) you are going to install the dynamic link library to. In order to find this directory, 'Right-Click > Properties' on the program's shortcut.
- Open the program installation directory by clicking the Open File Location button in the 'Properties' window that comes up.
- Copy the Dumper.dll library into this directory that opens.
- This is all there is to the process. Now, try to run the program again. If the problem still is not solved, you can try the 3rd Method.
Method 3: Doing a Clean Install of the program That Is Giving the Dumper.dll Errorlink
- Press the 'Windows' + 'R' keys at the same time to open the Run tool. Paste the command below into the text field titled 'Open' in the Run window that opens and press the Enter key on your keyboard. This command will open the 'Programs and Features' tool.
appwiz.cpl
- The Programs and Features screen will come up. You can see all the programs installed on your computer in the list on this screen. Find the program giving you the dll error in the list and right-click it. Click the 'Uninstall' item in the right-click menu that appears and begin the uninstall process.
- A window will open up asking whether to confirm or deny the uninstall process for the program. Confirm the process and wait for the uninstall process to finish. Restart your computer after the program has been uninstalled from your computer.
- After restarting your computer, reinstall the program that was giving the error.
- You may be able to fix the dll error you are experiencing by using this method. If the error messages are continuing despite all these processes, we may have a issue deriving from Windows. To fix dll errors deriving from Windows, you need to complete the 4th Method and the 5th Method in the list.
Method 4: Fixing the Dumper.dll Issue by Using the Windows System File Checker (scf scannow)link
- In order to complete this step, you must run the Command Prompt as administrator. In order to do this, all you have to do is follow the steps below.
NOTE! We ran the Command Prompt using Windows 10. If you are using Windows 8.1, Windows 8, Windows 7, Windows Vista or Windows XP, you can use the same method to run the Command Prompt as administrator.
- Open the Start Menu and before clicking anywhere, type 'cmd' on your keyboard. This process will enable you to run a search through the Start Menu. We also typed in 'cmd' to bring up the Command Prompt.
- Right-click the 'Command Prompt' search result that comes up and click the Run as administrator' option.
- Type the command below into the Command Line page that comes up and run it by pressing Enter on your keyboard.
sfc /scannow
- The process can take some time depending on your computer and the condition of the errors in the system. Before the process is finished, don't close the command line! When the process is finished, try restarting the program that you are experiencing the errors in after closing the command line.
Method 5: Fixing the Dumper.dll Error by Manually Updating Windowslink
Some programs require updated dynamic link libraries from the operating system. If your operating system is not updated, this requirement is not met and you will receive dll errors. Because of this, updating your operating system may solve the dll errors you are experiencing.
Most of the time, operating systems are automatically updated. However, in some situations, the automatic updates may not work. For situations like this, you may need to check for updates manually.
For every Windows version, the process of manually checking for updates is different. Because of this, we prepared a special guide for each Windows version. You can get our guides to manually check for updates based on the Windows version you use through the links below.
Windows Update Guideslink
Our Most Common Dumper.dll Error Messageslink
If the Dumper.dll library is missing or the program using this library has not been installed correctly, you can get errors related to the Dumper.dll library. Dynamic link libraries being missing can sometimes cause basic Windows programs to also give errors. You can even receive an error when Windows is loading. You can find the error messages that are caused by the Dumper.dll library.
If you don't know how to install the Dumper.dll library you will download from our site, you can browse the methods above. Above we explained all the processes you can do to fix the dll error you are receiving. If the error is continuing after you have completed all these methods, please use the comment form at the bottom of the page to contact us. Our editor will respond to your comment shortly.
- 'Dumper.dll not found.' error
- 'The file Dumper.dll is missing.' error
- 'Dumper.dll access violation.' error
- 'Cannot register Dumper.dll.' error
- 'Cannot find Dumper.dll.' error
- 'This application failed to start because Dumper.dll was not found. Re-installing the application may fix this problem.' error
Dynamic Link Libraries Similar to Dumper.dlllink
Our Users Feedback for The Dumper.dll Librarylink
The graph below has been created based on the votes given by our users. By looking at this graph, you can learn how much the Dumper.dll library works. If you also want to give your opinion about this library, you can join the voting by using the stars shown at the very top of this page.
The Dumper.dll Category Directorylink
- Perl
- Perl + Windows 10
- Perl + Windows 8.1
- Perl + Windows 8
- Perl + Windows 7
- Perl + Windows Vista
- Perl + Windows XP
- Windows 10
- Windows 8.1
- Windows 8
- Windows 7
- Windows Vista
- Windows XP
Source code:Lib/json/__init__.py
JSON (JavaScript Object Notation), specified byRFC 7159 (which obsoletes RFC 4627) and byECMA-404,is a lightweight data interchange format inspired byJavaScript object literal syntax(although it is not a strict subset of JavaScript 1 ).
json
exposes an API familiar to users of the standard librarymarshal
and pickle
modules.Encoding basic Python object hierarchies:
Compact encoding:
Pretty printing:
Decoding JSON:
Specializing JSON object decoding:
Extending
JSONEncoder
:Using
json.tool
from the shell to validate and pretty-print:See Command Line Interface for detailed documentation.
Note
JSON is a subset of YAML 1.2. The JSON produced bythis module’s default settings (in particular, the default separatorsvalue) is also a subset of YAML 1.0 and 1.1. This module can thus also beused as a YAML serializer.
Note
This module’s encoders and decoders preserve input and output order bydefault. Order is only lost if the underlying containers are unordered.
Prior to Python 3.7,
dict
was not guaranteed to be ordered, soinputs and outputs were typically scrambled unlesscollections.OrderedDict
was specifically requested. Startingwith Python 3.7, the regular dict
became order preserving, soit is no longer necessary to specify collections.OrderedDict
forJSON generation and parsing.Basic Usage¶
json.
dump
(obj, fp, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw)¶Serialize obj as a JSON formatted stream to fp (a
.write()
-supportingfile-like object) using this conversion table.If skipkeys is true (default:
False
), then dict keys that are notof a basic type (str
, int
, float
, bool
,None
) will be skipped instead of raising a TypeError
.The
json
module always produces str
objects, notbytes
objects. Therefore, fp.write()
must support str
input.If ensure_ascii is true (the default), the output is guaranteed tohave all incoming non-ASCII characters escaped. If ensure_ascii isfalse, these characters will be output as-is.
If check_circular is false (default:
True
), then the circularreference check for container types will be skipped and a circular referencewill result in an OverflowError
(or worse).If allow_nan is false (default:
True
), then it will be aValueError
to serialize out of range float
values (nan
,inf
, -inf
) in strict compliance of the JSON specification.If allow_nan is true, their JavaScript equivalents (NaN
,Infinity
, -Infinity
) will be used.If indent is a non-negative integer or string, then JSON array elements andobject members will be pretty-printed with that indent level. An indent levelof 0, negative, or
'
will only insert newlines. None
(the default)selects the most compact representation. Receipts 1 9 7 – enhance your incoming invoice management. Using a positive integer indentindents that many spaces per level. If indent is a string (such as 't'
),that string is used to indent each level.Changed in version 3.2: Allow strings for indent in addition to integers.
If specified, separators should be an
(item_separator,key_separator)
tuple. The default is (',',':')
if indent is None
and(',',':')
otherwise. To get the most compact JSON representation,you should specify (',',':')
to eliminate whitespace.Changed in version 3.4: Use
(',',':')
as default if indent is not None
.If specified, default should be a function that gets called for objects thatcan’t otherwise be serialized. It should return a JSON encodable version ofthe object or raise a
TypeError
. If not specified, TypeError
is raised.If sort_keys is true (default:
False
), then the output ofdictionaries will be sorted by key.To use a custom
JSONEncoder
subclass (e.g. one that overrides thedefault()
method to serialize additional types), specify it with thecls kwarg; otherwise JSONEncoder
is used.Changed in version 3.6: All optional parameters are now keyword-only.
Note
Unlike
pickle
and marshal
, JSON is not a framed protocol,so trying to serialize multiple objects with repeated calls todump()
using the same fp will result in an invalid JSON file.json.
dumps
(obj, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw)¶Serialize obj to a JSON formatted
str
using this conversiontable. The arguments have the same meaning as indump()
.Note
Keys in key/value pairs of JSON are always of the type
str
. Whena dictionary is converted into JSON, all the keys of the dictionary arecoerced to strings. As a result of this, if a dictionary is convertedinto JSON and then back into a dictionary, the dictionary may not equalthe original one. That is, loads(dumps(x))!=x
if x has non-stringkeys.json.
load
(fp, *, cls=None, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, object_pairs_hook=None, **kw)¶Deserialize fp (a
.read()
-supporting text file orbinary file containing a JSON document) to a Python object usingthis conversion table.object_hook is an optional function that will be called with the result ofany object literal decoded (a
dict
). The return value ofobject_hook will be used instead of the dict
. This feature can be usedto implement custom decoders (e.g. JSON-RPCclass hinting).object_pairs_hook is an optional function that will be called with theresult of any object literal decoded with an ordered list of pairs. Thereturn value of object_pairs_hook will be used instead of the
dict
. This feature can be used to implement custom decoders.If object_hook is also defined, the object_pairs_hook takes priority.Changed in version 3.1: Added support for object_pairs_hook.
parse_float, if specified, will be called with the string of every JSONfloat to be decoded. By default, this is equivalent to
float(num_str)
.This can be used to use another datatype or parser for JSON floats(e.g. decimal.Decimal
).parse_int, if specified, will be called with the string of every JSON intto be decoded. By default, this is equivalent to
int(num_str)
. This canbe used to use another datatype or parser for JSON integers(e.g. float
).parse_constant, if specified, will be called with one of the followingstrings:
'-Infinity'
, 'Infinity'
, 'NaN'
.This can be used to raise an exception if invalid JSON numbersare encountered.Changed in version 3.1: parse_constant doesn’t get called on ‘null’, ‘true’, ‘false’ anymore.
To use a custom
JSONDecoder
subclass, specify it with the cls
kwarg; otherwise JSONDecoder
is used. Additional keyword argumentswill be passed to the constructor of the class.If the data being deserialized is not a valid JSON document, a
JSONDecodeError
will be raised.Changed in version 3.6: All optional parameters are now keyword-only.
Changed in version 3.6: fp can now be a binary file. The input encoding should beUTF-8, UTF-16 or UTF-32.
json.
loads
(s, *, cls=None, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, object_pairs_hook=None, **kw)¶Deserialize s (a
str
, bytes
or bytearray
instance containing a JSON document) to a Python object using thisconversion table.The other arguments have the same meaning as in
load()
.If the data being deserialized is not a valid JSON document, a
JSONDecodeError
will be raised.Changed in version 3.6: s can now be of type
bytes
or bytearray
. Theinput encoding should be UTF-8, UTF-16 or UTF-32.Changed in version 3.9: The keyword argument encoding has been removed.
Encoders and Decoders¶
json.
JSONDecoder
(*, object_hook=None, parse_float=None, parse_int=None, parse_constant=None, strict=True, object_pairs_hook=None)¶Simple JSON decoder.
Performs the following translations in decoding by default:
JSON | Python |
---|---|
object | dict |
array | list |
string | str |
number (int) | int |
number (real) | float |
true | True |
false | False |
null | None |
It also understands
NaN
, Infinity
, and -Infinity
as theircorresponding float
values, which is outside the JSON spec.object_hook, if specified, will be called with the result of every JSONobject decoded and its return value will be used in place of the given
dict
. This can be used to provide custom deserializations (e.g. tosupport JSON-RPC class hinting).object_pairs_hook, if specified will be called with the result of everyJSON object decoded with an ordered list of pairs. The return value ofobject_pairs_hook will be used instead of the
dict
. Thisfeature can be used to implement custom decoders. If object_hook is alsodefined, the object_pairs_hook takes priority.Changed in version 3.1: Added support for object_pairs_hook.
parse_float, if specified, will be called with the string of every JSONfloat to be decoded. By default, this is equivalent to
float(num_str)
.This can be used to use another datatype or parser for JSON floats(e.g. decimal.Decimal
).parse_int, if specified, will be called with the string of every JSON intto be decoded. By default, this is equivalent to
int(num_str)
. This canbe used to use another datatype or parser for JSON integers(e.g. float
).parse_constant, if specified, will be called with one of the followingstrings:
'-Infinity'
, 'Infinity'
, 'NaN'
.This can be used to raise an exception if invalid JSON numbersare encountered.If strict is false (
True
is the default), then control characterswill be allowed inside strings. Control characters in this context arethose with character codes in the 0–31 range, including 't'
(tab),'n'
, 'r'
and '0'
.If the data being deserialized is not a valid JSON document, a
JSONDecodeError
will be raised.Changed in version 3.6: All parameters are now keyword-only.
decode
(s)¶Return the Python representation of s (a
str
instancecontaining a JSON document).JSONDecodeError
will be raised if the given JSON document is notvalid.raw_decode
(s)¶Decode a JSON document from s (a
str
beginning with aJSON document) and return a 2-tuple of the Python representationand the index in s where the document ended.This can be used to decode a JSON document from a string that may haveextraneous data at the end.
json.
JSONEncoder
(*, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None)¶Extensible JSON encoder for Python data structures.
Supports the following objects and types by default:
Python | JSON |
---|---|
dict | object |
list, tuple | array |
str | string |
int, float, int- & float-derived Enums | number |
True | true |
False | false |
None | null |
Changed in version 3.4: Added support for int- and float-derived Enum classes.
To extend this to recognize other objects, subclass and implement a
default()
method with another method that returns a serializable objectfor o
if possible, otherwise it should call the superclass implementation(to raise TypeError
).If skipkeys is false (the default), then it is a
TypeError
toattempt encoding of keys that are not str
, int
,float
or None
. If skipkeys is true, such items are simplyskipped.If ensure_ascii is true (the default), the output is guaranteed tohave all incoming non-ASCII characters escaped. If ensure_ascii isfalse, these characters will be output as-is.
If check_circular is true (the default), then lists, dicts, and customencoded objects will be checked for circular references during encoding toprevent an infinite recursion (which would cause an
OverflowError
).Otherwise, no such check takes place.If allow_nan is true (the default), then
NaN
, Infinity
, and-Infinity
will be encoded as such. This behavior is not JSONspecification compliant, but is consistent with most JavaScript basedencoders and decoders. Otherwise, it will be a ValueError
to encodesuch floats.If sort_keys is true (default:
False
), then the output of dictionarieswill be sorted by key; this is useful for regression tests to ensure thatJSON serializations can be compared on a day-to-day basis.If indent is a non-negative integer or string, then JSON array elements andobject members will be pretty-printed with that indent level. An indent levelof 0, negative, or
'
will only insert newlines. None
(the default)selects the most compact representation. Using a positive integer indentindents that many spaces per level. If indent is a string (such as 't'
),that string is used to indent each level.Changed in version 3.2: Allow strings for indent in addition to integers.
If specified, separators should be an
(item_separator,key_separator)
tuple. The default is (',',':')
if indent is None
and(',',':')
otherwise. To get the most compact JSON representation,you should specify (',',':')
to eliminate whitespace.Changed in version 3.4: Use
(',',':')
as default if indent is not None
.If specified, default should be a function that gets called for objects thatcan’t otherwise be serialized. It should return a JSON encodable version ofthe object or raise a
TypeError
. If not specified, TypeError
is raised.Changed in version 3.6: All parameters are now keyword-only.
Dumpster 12866
default
(o)¶Implement this method in a subclass such that it returns a serializableobject for o, or calls the base implementation (to raise a
TypeError
).For example, to support arbitrary iterators, you could implement defaultlike this:
encode
(o)¶Return a JSON string representation of a Python data structure, o. Forexample:
iterencode
(o)¶Encode the given object, o, and yield each string representation asavailable. For example:
Exceptions¶
json.
JSONDecodeError
(msg, doc, pos)¶Subclass of
ValueError
with the following additional attributes:Dumpster 12 Yard
msg
¶The unformatted error message.
doc
¶The JSON document being parsed.
pos
¶The start index of doc where parsing failed.
lineno
¶The line corresponding to pos.
colno
¶The column corresponding to pos.
Dumper 1 2 Trailer
Standard Compliance and Interoperability¶
The JSON format is specified by RFC 7159 and byECMA-404.This section details this module’s level of compliance with the RFC.For simplicity,
JSONEncoder
and JSONDecoder
subclasses, andparameters other than those explicitly mentioned, are not considered.This module does not comply with the RFC in a strict fashion, implementing someextensions that are valid JavaScript but not valid JSON. In particular:
- Infinite and NaN number values are accepted and output;
- Repeated names within an object are accepted, and only the value of the lastname-value pair is used.
Since the RFC permits RFC-compliant parsers to accept input texts that are notRFC-compliant, this module’s deserializer is technically RFC-compliant underdefault settings.
Character Encodings¶
The RFC requires that JSON be represented using either UTF-8, UTF-16, orUTF-32, with UTF-8 being the recommended default for maximum interoperability.
As permitted, though not required, by the RFC, this module’s serializer setsensure_ascii=True by default, thus escaping the output so that the resultingstrings only contain ASCII characters.
Other than the ensure_ascii parameter, this module is defined strictly interms of conversion between Python objects and
Unicodestrings
, and thus does not otherwise directly addressthe issue of character encodings.The RFC prohibits adding a byte order mark (BOM) to the start of a JSON text,and this module’s serializer does not add a BOM to its output.The RFC permits, but does not require, JSON deserializers to ignore an initialBOM in their input. This module’s deserializer raises a
ValueError
when an initial BOM is present.The RFC does not explicitly forbid JSON strings which contain byte sequencesthat don’t correspond to valid Unicode characters (e.g. unpaired UTF-16surrogates), but it does note that they may cause interoperability problems.By default, this module accepts and outputs (when present in the original
str
) code points for such sequences.Infinite and NaN Number Values¶
The RFC does not permit the representation of infinite or NaN number values.Despite that, by default, this module accepts and outputs
Infinity
,-Infinity
, and NaN
as if they were valid JSON number literal values:In the serializer, the allow_nan parameter can be used to alter thisbehavior. In the deserializer, the parse_constant parameter can be used toalter this behavior.
Repeated Names Within an Object¶
The RFC specifies that the names within a JSON object should be unique, butdoes not mandate how repeated names in JSON objects should be handled. Bydefault, this module does not raise an exception; instead, it ignores all butthe last name-value pair for a given name:
The object_pairs_hook parameter can be used to alter this behavior.
Top-level Non-Object, Non-Array Values¶
The old version of JSON specified by the obsolete RFC 4627 required thatthe top-level value of a JSON text must be either a JSON object or array(Python
dict
or list
), and could not be a JSON null,boolean, number, or string value. RFC 7159 removed that restriction, andthis module does not and has never implemented that restriction in either itsserializer or its deserializer.Regardless, for maximum interoperability, you may wish to voluntarily adhereto the restriction yourself.
Implementation Limitations¶
Some JSON deserializer implementations may set limits on:
- the size of accepted JSON texts
- the maximum level of nesting of JSON objects and arrays
- the range and precision of JSON numbers
- the content and maximum length of JSON strings
This module does not impose any such limits beyond those of the relevantPython datatypes themselves or the Python interpreter itself.
When serializing to JSON, beware any such limitations in applications that mayconsume your JSON. In particular, it is common for JSON numbers to bedeserialized into IEEE 754 double precision numbers and thus subject to thatrepresentation’s range and precision limitations. This is especially relevantwhen serializing Python
int
values of extremely large magnitude, orwhen serializing instances of “exotic” numerical types such asdecimal.Decimal
.Command Line Interface¶
Source code:Lib/json/tool.py
The
json.tool
module provides a simple command line interface to validateand pretty-print JSON objects.If the optional
infile
and outfile
arguments are notspecified, sys.stdin
and sys.stdout
will be used respectively:Changed in version 3.5: The output is now in the same order as the input. Use the
--sort-keys
option to sort the output of dictionariesalphabetically by key.Command line options¶
infile
¶The JSON file to be validated or pretty-printed:
If infile is not specified, read from
sys.stdin
.outfile
¶Write the output of the infile to the given outfile. Otherwise, write itto
sys.stdout
.--sort-keys
¶Sort the output of dictionaries alphabetically by key.
New in version 3.5.
--no-ensure-ascii
¶Disable escaping of non-ascii characters, see
json.dumps()
for more information.--json-lines
¶Parse every input line as separate JSON object.
New in version 3.8.
--indent
,
--tab
,
--no-indent
,
--compact
¶Mutually exclusive options for whitespace control.
-h
,
--help
¶Dumper 1 2 Full
Show the help message.
Footnotes
As noted in the errata for RFC 7159,JSON permits literal U+2028 (LINE SEPARATOR) andU+2029 (PARAGRAPH SEPARATOR) characters in strings, whereas JavaScript(as of ECMAScript Edition 5.1) does not.