Saravanan666/pypi-org huggingface dataset:
Package: jccc
JCCCThis package provides several color conversion methods that are compatible withnumba. It also provides acolor quantizationprocedure, which can reduce an image to a set of predetermined pixels. This isn't ideal for compression tasks but is useful for tagging images with color names.Installationpip install jcccSupported conversionsRGBRGB --> HSVRGB --> HLSRGB --> XYZRGB --> CIELABHSVHSV --> RGBHSV --> HLSHSV --> XYZHSV --> CIELABHLSHLS --> RGBHLS --> HSVHLS --> XYZHLS --> CIELABXYZXYZ --> RGBXYZ --> HSVXYZ --> HLSXYZ --> CIELABCIE LABCIELAB --> RGBCIELAB --> HSVCIELAB --> HLSCIELAB --> XYZ
Package: jcchess
JCchess - John Cheetham -http://www.johncheetham.com/projects/jcchessDescriptionJCchess is a program to play chess against UCI chess engines.Requirementspython3 python-cairo python-gobjectPackage names to install.distro:packagesDebian/Mint/Ubuntu:python3-gi-cairo gir1.2-rsvg-2.0Fedora:python3-cairo, python3-gobjectArch:python-cairo, python-gobjectUsageEnter ‘python3 run.py’ to start the program.
Alternatively you can install it on your system with ‘python3 setup.py install’
(as root user) and then start it from the gui menu or by entering ‘jcchess’ into
a terminal.
Windows versions are available on the website.Adding a UCI engineTo add an engine to play against click on Options, engines then click
the ‘Add’ button to add a new engine. Navigate to the engine executable
and add it. Then click the OK button.Next do Options, players and set the black player to the new engine.Click on the ‘tick’ button at the top of the screen to start the game
and then move a white piece.For debugging start with -v (all debugging messages) or -vuci (uci
messages).AcknowledgementsThe initial version was based on gshogi.
seehttp://www.johncheetham.com/projects/gshogipython-chess is used.
seehttps://github.com/niklasf/python-chessPiece Images by DG-RA
seehttps://openclipart.org/user-detail/DG-RA
Package: jcci
DescriptionJava code commit impact analysis, is a pure python library that analyzes the impact of two git submissions or code differences between different branches of Java projects on the project and generates tree chart data.Github:jcciInstallationpip install jcciInstructionsStart a new python project, add a new python file, code example:from jcci import jcci

# Compare different commits on the same branch
jcci.analyze('git@xxxx.git','master','commit_id1','commit_id2', 'username1')

# Compare different branches
jcci.analyze_branches('git@xxxx.git','branch_1','branch_2', 'username1')At the same time, the project will be cloned in the directory and then analyzed to generate a file with the suffix format commit_id1...commit_id2.cci, which contains the tree diagram data generated by the analysis results, downloadjcci-result.html, upload analyze result file end with .cci, then can be displayed through the view.CCI resultCCI result tree view
Package: jc-cipher
Preserving History Through Code- Julius Caesar's Shift CipherGaius Julius CaesarFrom Wikipedia, the free encyclopediaIn cryptography, a Caesar cipher, also known as Caesar's cipher, the shift cipher, Caesar's code, or Caesar shift, is one of the simplest and most widely known encryption techniques. It is a type of substitution cipher in which each letter in the plaintext is replaced by a letter some fixed number of positions down the alphabet. For example, with a left shift of 3, D would be replaced by A, E would become B, and so on. The method is named after Julius Caesar, who used it in his private correspondence.Julius Caesar (100-44 BCE)Source:WikipediaCaesar cipher using a left rotation of three placesExpectationsPlain : ABCDEFGHIJKLMNOPQRSTUVWXYZCipher: XYZABCDEFGHIJKLMNOPQRSTUVWPlaintext : THE QUICK BROWN FOX JUMPS OVER THE LAZY DOGCiphertext: QEB NRFZH YOLTK CLU GRJMP LSBO QEB IXWV ALDThe action of a Caesar cipherSource:WikipediaCaesar cipher disk was invented over a millemium after Julius CaesarBut we would borrow Alberti's disc to also visualize the Caesar's CipherCipherDisk2000 invented byLeon Battista Alberti1404 - 1472Source:WikipediaCaesar cipher using a left rotation of three placesWith a left shift of 3, D would be replaced by A, E would become B, and so on.The cipher disk illustration was inspired by Alberti's cipher disk, although his disk had the outer disk as the rotating disk and it was also in the reverse order compared to the inner disk.CipherDisk in 0 position 0 ShiftCipher disc 3 left rotationsFocusThis caesar cipher program encrypts only uppercase letters and no other characters. Modelled closely to the caesar cipher used before common era.Installpipinstalljc-cipherRun in command/terminaljc-cipherImport modulesfromcaesar_cipherimportencryptionasce
fromcaesar_cipherimportdecryptionasde
Package: jcconv
jcconv, Japanese Characters CONVerter, interconvert hiragana, katakana, half-width kana.This module also treat ‘half/wide number’, ‘half/wide alphabet’.Since 0.2.0, check_hira, check_kata, check_half functions were added.
you can check if string consists of characters you specified.IMPOTANT: In current version, this works only with utf-8 encoding.Simple example of usage is followings>>> from jcconv import *
>>> print hira2kata('あいうえお')   # hiragana to katakana
アイウエオ
>>> print kata2hira('カタカナ')     # katakana to hiragana
かたかな
>>> print half2hira('ﾊﾝｶｸｶﾀｶﾅ')      # half-width kana to hiragana
はんかくかたかな
>>> print half2wide('hello jcconv') # half-width alphabet to wide-width
ｈｅｌｌｏ ｊｃｃｏｎｖ
>>> print wide2half('ＷＩＤＥ')     # wide-width alphabet to half-width
wide
Package: jcconv3
jcconv, Japanese Characters CONVerter, interconvert hiragana, katakana, half-width kana.This module also treat ‘half/wide number’, ‘half/wide alphabet’.Since 0.2.0, check_hira, check_kata, check_half functions were added.
you can check if string consists of characters you specified.IMPOTANT: In current version, this works only with utf-8 encoding.Simple example of usage is followings>>> from jcconv3 import *
>>> print(hira2kata('あいうえお'))   # hiragana to katakana
アイウエオ
>>> print(kata2hira('カタカナ'))     # katakana to hiragana
かたかな
>>> print(half2hira('ﾊﾝｶｸｶﾀｶﾅ'))      # half-width kana to hiragana
はんかくかたかな
>>> print(half2wide('hello jcconv')) # half-width alphabet to wide-width
ｈｅｌｌｏ ｊｃｃｏｎｖ
>>> print(wide2half('ＷＩＤＥ'))     # wide-width alphabet to half-width
WIDE
Package: jcell
JCELLjcellis an image segmentation software primarily dedicated to biological cells. The software is an implementation of our latest developments in cell segmentation using deep learning approaches specially aimed at segmenting clustered cells. We pioneered the use of multiclass segmentation to improve segmenting tightly packed cells (see ICIP2018) and recently introduced a combination of Youden's J Statistics and cross entropy as a robust loss working in tandem to promote a sharp classification of pixels/voxels (see ISBI2020). Due toJ, highly imbalanced data can be directly trained bypassing the need of complicated data balancing strategies.  This is the software used for winning DIC-C2DH-Hela and PhC-C2DH-U373 Cell segmentation challenges (http://celltrackingchallenge.net/latest-csb-results/).For an in depth understading how the methods work check our publications [ICIP2018], [MICCAIW2019], [ISBI2020].See documentation for more details on how to use this software.[ISBI2020]J Regularization Improves Imbalanced Multiclass Segmentation.Fidel A. Guerrero Peña, Pedro D. Marrero Fernandez, Paul T. Tarr, Tsang Ing Ren, Elliot M. Meyerowitz, Alexandre Cunha. IEEE 17th International Symposium on Biomedical Imaging (ISBI). 2020.https://ieeexplore.ieee.org/abstract/document/9098550. Arxivhttps://arxiv.org/abs/1910.09783.[MICCAIW2019]A Weakly Supervised Method for Instance Segmentation of Biological Cells.Fidel A. Guerrero Pena, Pedro D. Marrero Fernandez, Tsang Ing Ren, Alexandre Cunha. Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data. Springer. 2019.https://link.springer.com/chapter/10.1007/978-3-030-33391-1_25. Arxivhttps://arxiv.org/abs/1908.09891.[ICIP2018]Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells.Fidel A. Guerrero Pena, Pedro D. Marrero Fernandez, Tsang Ing Ren, Mary Yui, Ellen Rothenberg, Alexandre Cunha. IEEE International Conference on Image Processing (ICIP). 2018.https://ieeexplore.ieee.org/abstract/document/8451187/. Arxivhttps://arxiv.org/abs/1802.07465.
Package: jcell-ISBI
JCELLjcellis an image segmentation software primarily dedicated to biological cells. The software is an implementation of our latest developments in cell segmentation using deep learning approaches specially aimed at segmenting clustered cells. We pioneered the use of multiclass segmentation to improve segmenting tightly packed cells (see ICIP2018) and recently introduced a combination of Youden's J Statistics and cross entropy as a robust loss working in tandem to promote a sharp classification of pixels/voxels (see ISBI2020). Due toJ, highly imbalanced data can be directly trained bypassing the need of complicated data balancing strategies.  This is the software used for winning DIC-C2DH-Hela and PhC-C2DH-U373 Cell segmentation challenges (http://celltrackingchallenge.net/latest-csb-results/).For an in depth understading how the methods work check our publications [ICIP2018], [MICCAIW2019], [ISBI2020].See documentation for more details on how to use this software.[ISBI2020]J Regularization Improves Imbalanced Multiclass Segmentation.Fidel A. Guerrero Peña, Pedro D. Marrero Fernandez, Paul T. Tarr, Tsang Ing Ren, Elliot M. Meyerowitz, Alexandre Cunha. IEEE 17th International Symposium on Biomedical Imaging (ISBI). 2020.https://ieeexplore.ieee.org/abstract/document/9098550. Arxivhttps://arxiv.org/abs/1910.09783.[MICCAIW2019]A Weakly Supervised Method for Instance Segmentation of Biological Cells.Fidel A. Guerrero Pena, Pedro D. Marrero Fernandez, Tsang Ing Ren, Alexandre Cunha. Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data. Springer. 2019.https://link.springer.com/chapter/10.1007/978-3-030-33391-1_25. Arxivhttps://arxiv.org/abs/1908.09891.[ICIP2018]Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells.Fidel A. Guerrero Pena, Pedro D. Marrero Fernandez, Tsang Ing Ren, Mary Yui, Ellen Rothenberg, Alexandre Cunha. IEEE International Conference on Image Processing (ICIP). 2018.https://ieeexplore.ieee.org/abstract/document/8451187/. Arxivhttps://arxiv.org/abs/1802.07465.
Package: jcestruct
Jce StructTencent JCE Encode/Decode with fully pydantic supportBefore UsingJceStructis base onpython type hint(doc) andPydantic.Read links above if first time usingtype hintorpydantic model.Data validationandIDE type checkingareall supported.InstallationInstall directlypipinstallJceStruct# orpoetryaddJceStructor install from source (using poetry)pipinstallgit+https://github.com/yanyongyu/JceStruct.git# orpoetryaddgit+https://github.com/yanyongyu/JceStruct.gitor clone and installgitclonehttps://github.com/yanyongyu/JceStruct.gitcdJceStruct
poetryinstall# with editable modeUsageCreate StructCreate your struct by inheritingJceStructand define your fields withJceField.You can also combine your model fields with typingOptional,Union...fromjceimporttypes,JceStruct,JceFieldclassExampleStruct(JceStruct):# normal definitionfield1:types.INT32=JceField(jce_id=1)# define type in optionsfield2:float=JceField(jce_id=2,jce_type=types.DOUBLE)# define an optional field with default valuefield3:Optional[types.BOOL]=JceField(None,jce_id=3)# nested struct supportedfield4:types.LIST[OtherStruct]=JceField(types.LIST(),jce_id=4)# optional other pydantic fieldextra_pydantic_field:str="extra_pydantic_field"Encode/DecodeYou can initialize a struct and encode it, or encode single field usingto_bytesmethod.# simple struct encodeexample:ExampleStruct=ExampleStruct(field1=1,field2=2.,field4=types.LIST[OtherStruct()])bytes=example.encode()# single field encodebytes=types.STRING.to_bytes(jce_id=0,value="example")You can decode bytes usingdecodeclassmethod of the struct, decode single field usingfrom_bytesclassmethod, or only get single list field usingdecode_listmethod of list inner struct.# simple struct decodeexample:ExampleStruct=ExampleStruct.decode(bytes,extra_pydantic_field="extra")# single field decodestring,length=types.STRING.from_bytes(data=bytes,**extra)# decode list from example structothers:List[OtherStruct]=OtherStruct.decode_list(bytes,jce_id=3,**extra)Custom Encoder/DecoderJust inherit JceEncoder/JceDecoder and add it to your struct configuration.fromjceimportJceStruct,JceEncoderclassCustomEncoder(JceEncoder):passclassExampleStruct(JceStruct):classConfig:jce_encoder=CustomEncoder# jce_decoder = CustomDecoderCustom typesJust inherit JceType and implement abstruct methodsfromjceimporttypesclassCustomType(types.JceType):...Change default typesBy default, head bytes are treated like this:{0:BYTE,1:INT16,2:INT32,3:INT64,4:FLOAT,5:DOUBLE,6:STRING1,7:STRING4,8:MAP,9:LIST,10:STRUCT_START,11:STRUCT_END,12:ZERO_TAG,13:BYTES}field will be converted to the type defined in struct when validate.to change it:classExampleStruct(JceStruct):classConfig:jce_default_type={# add all types here}Command Line Usagepython-mjce1f2e3d4c5b6a79
Package: jchess
J-Chess: Play chess in the console!A simple project allowing you to play chess within your console.UsageRequirespython 3.10or later. The package is available onpypiso to play simply install withpip install jchessand then play withjchessorpython -m jchess.The project was developed primarily alongsidepowershellbut the project should be
compatible with generic Windows and Linux consoles.If you have any feedback please feel free to share it!FeaturesJ-Chess fully implements chess logic and rules - including castling, en-passant, promotion and check/checkmate.It is primarily designed to be played by 2 people at the same computer but it does
feature a "VS Dumb Bot" mode where you can play against an opponent who's moves are
random.For demonstration purposes there is also a "Two Dumb Bots" mode where an entire game is
played with no user input.MotivationThis was simply a project to better familiarize myself with programming in python and
other lifecycle practices & tools.I was able to practice using useful tools likegit,githubandwslas well as
useful concepts including OOP programming patterns, regular expressions, testing,
documentation, packaging and managing dependencies.The python tooling modules I used were:UtilityModulesTestingpytest,coverageTyping & lintingmypy,pylint,flake8,pydocstyleAuto-formattingblack,isort,autoflake,pydocstringformatter,pre-commitPython code features I experimented with and used in the final project include
dataclasses, generators, type annotations and context managers.ScopeThe goal of the project was to practice pure python programming so by design there are
minimal 3rd party package dependencies - in fact there is only one:colorama.The scope of the project was intentionally minimal, but some fun ideas if I return to
this project would be:Implementing different guis - maybe through a web app ortkinterImplement a genuine AIImplement a non-local multiplayer modeProject StructureNot counting recursively, there are currently 8 sub-modules/packages which are
published in thejchesswhl (plus one module used only for testing). The project
structure can be thought of as follows:+-----------------------------------------------------+
|          pieces ---- board       display ------ run |
|         /                  \    /                   |
| geometry                    game                    |
|         \                  /    \                   |
|          terminal -- action      (testutils)        |
+-----------------------------------------------------+
Package: j-chess-client-manager
Manager for bots designed for the awesome j-chess-server using the j-chess-lib for pythonFree software: GNU General Public License v3Documentation:https://j-chess-client-manager.readthedocs.io.FeaturesStart clients using a UISee the current playstate of your clientsScreenshotsScreenshot showing the main UI with the chessboard, logs, metrics, clientsScreenshot showing menu to add a new AITODOMake clients stoppablePerformance improvementsLet user define own metrics to be shownUsageImplement your AI by implementing the AI class fromj-chess-lib. Seej-chess-lib Usagefor usage instructions.Then install the bot manager using$pip install j_chess_client_managerThen start the manager by calling$j_chess_client_manager --with-package to.your.packageWhereto.your.packageshould be the import statement to the package/pythonfile with your implemented ai from the
current working directory.Use$j_chess_client_manager --helpto see all available optionsCreditsIdea and server generated by the niceJoKrusUI-FrameworkAsciimaticsThis package was created withCookiecutterand theaudreyr/cookiecutter-pypackageproject template.
Package: jchord
jchord - toolkit for working with chord progressionsWhat’s this then?jchordis a Python package which provides tools for working with chord progressions.jchord:has object representations for notes, chords, and progressions (in the Western 12-tone system)knows about naming conventions for chords, and can convert back and forth between objects and namescan be used as a converter between strings, text files, XLSX files, PDFs and MIDI files (see “converter script” below)Get itBasic installation:pip install jchordInstallation with dependencies for reading and writing MIDI/XLSX/PDF files:pip install jchord[midi,xlsx,pdf]Convert between formatsIf you just want the converter functionality, invokejchordon the command line:usage: jchord [-h] [--midi MIDI] [--pdf PDF] file_in file_out

Converts between different representations of the same format

positional arguments:
  file_in      Input progression as string, .txt, .xlsx or .midi
  file_out     Output file as .txt, .xlsx, .midi or .pdf

optional arguments:
  -h, --help   show this help message and exit
  --midi MIDI  comma separated list of arguments for midi, e.g. tempo=8,beats_per_chord=2
  --pdf PDF    comma separated list of arguments for pdf, e.g. chords_per_row=8,fontsize=30Example:jchord "Cm A E7 F#m7" example.mid --midi tempo=80,beats_per_chord=1As a libraryHere is an example that parses a chord progression written as a string, transposes it upwards by 2 semitones,
converts it back to a string and then creates a midi file from it.:from jchord import ChordProgression, MidiConversionSettings
prog = ChordProgression.from_string("C -- Fm7 -- C -- G7 -- C -- E7 Am F Bm7b5 E7 Am9 F Bo C69 --")
prog = prog.transpose(+2)
print(prog.to_string())
prog.to_midi(MidiConversionSettings(filename="example.midi", tempo=100, beats_per_chord=2, instrument=4))Output:D       --      Gm7     --
D       --      A7      --
D       --      F#7     Bm
G       C#m7b5  F#7     Bm9
G       C#o     D69     --For more examples, see thedocumentation.DocumentationDocumentation lives here:jonathangjertsen.github.io/jchord/ContributingTo contribute, open an issue or create a Pull Request in theGithub repo.
Package: j-classify
j_classifyImproved JSON deserializer for Python that allows for remapping to custom object types and nested objects. This allows for saving/loading complex Python objects, like usingpicklewhile still preserving them in a human-readable format.Installationpipinstallj_classifyUsageimportjsonimportj_classifyclasstest_class_1(j_classify.j_object):def__init__(self)->None:super().__init__()self.name="test_class_1"self.number=1self.boolean=Trueself.children:list=[]classtest_class_2(j_classify.j_object):def__init__(self)->None:super().__init__()self.name="test_class_2"self.number=2self.boolean=Falseself.children:list=[]classtest_class_3(j_classify.j_object):def__init__(self)->None:super().__init__()self.name="test_class_3"self.number=3self.boolean=Trueif__name__=="__main__":obj_1=test_class_1()obj_1.name="obj_1"obj_1.number=2obj_1.boolean=Falseobj_2=test_class_2()obj_2.name="obj_2"obj_2.number=3obj_2.boolean=Trueobj_1.children.append(obj_2)obj_3=test_class_3()obj_3.name="obj_3"obj_3.number=4obj_3.boolean=Falseobj_2.children.append(obj_3)# Dump the object to JSON - use the j_object_encoder class for the cls argumentobj_data=json.dumps(obj_1,cls=j_classify.j_object_encoder,indent=4)# Load the object from JSON - use the load_j_object function for the object_hookloaded_obj_1=json.loads(obj_data,object_hook=j_classify.load_j_object)
Package: jcli
The ultimate Jenkins ClI ;)InstallA virtual environment is recommended for development. To install jcli on your system, run the following commands:virtualenv .venv
source .venv/bin/activate
pip install -r requirements.txt -e .Setup configjcli is using configuartion file to connect the server.It can be setup in one of the following paths:/etc/jcli/config.inipwd/config.inior it can passed as an argument.Minimal configuartion is:[jenkins]
user=<jenkins_user>
password=<api_token>
url=<jenkins_url>Examples### Job examplesPrint list of all the jobs:jcli job listPrint jobs which contain the string ‘coreci’ in their names:jcli job list coreciPrint the number of jobs on Jenkins server:jcli job countFull list of job commands can be found [here](https://github.com/bregman-arie/jcli/tree/master/doc/job.md)### View examplesList all views:jcli view listDelete view:jcli view delete view90Full list of view commands can be found [here](https://github.com/bregman-arie/jcli/tree/master/doc/view.md)### Node examplesList all nodes:jcli node listDelete node:jcli node delete <node_name>### Plugin examplesList all installed plugins:jcli plugin listList infromation on specific plugin:jcli plugin info my_pluginFull list of plugin commands can be found [here](https://github.com/bregman-arie/jcli/tree/master/doc/plugin.md)LicenseApacheAuthor InformationArie Bregman -abregman@redhat.com
Package: jcloud
Simplify deploying and hosting Jina projects on Jina Cloud☁️To the cloud!- Smoothly deploy a local project as a cloud service. Radically easy, no nasty surprises.🎯Cut to the chase- One CLI with five commands to manage the lifecycle of your Jina projects.🎟️Early free access- Sneak peek at our stealthy cloud hosting platform. Built on latest cloud-native tech stack, we now host your Jina project and offer computational and storage resources, for free!Installpipinstalljcloud
jc-hIn casejcis already occupied by another tool, please usejcloudinstead. If your pip install doesn't register bash commands for you, you can runpython -m jcloud -h.DocumentationSupportJoin ourSlack communityand chat with other community members about ideas.Join ourEngineering All Handsmeet-up to discuss your use case and learn Jina's new features.When?The second Tuesday of every monthWhere?Zoom (see our public events calendar/.ical)
andlive stream on YouTubeSubscribe to the latest video tutorials on ourYouTube channelJoin UsJCloud is backed byJina AIand licensed underApache-2.0.We are actively hiringAI engineers, solution engineers to build the next neural search ecosystem in open-source.