Saravanan666/pypi-org huggingface dataset:
Package: tricli
triclitricli is a python library that allows everybody to perform operations on my trie data structure. Note that the trie data structure is global and the same at any given moment for everyone.tricli (given by the last three letters of its name) is meant to be used inside of the
terminal as a command-line interface (CLI) and NOT inside of your code files.Also note that the trie in tricli is case-sensitive, meaning that "Hello" and "hello" are considered
to be two different words!How to installTo install, go into your terminal and do :pipinstalltricliMake sure you are using Python 3 and pip3 if needed.tricli operationsWith tricli, you can add a word to trie, delete a word from the trie, clear the trie by removing all of its words, have the trie displayed to you, and get autocomplete suggestions for a given prefix string.Avoid stopping a command while it is running (should only take a few seconds), because that may lead to your requested operation not being processed by the server.With that in mind, let's take a closer look at each of these operations.AddSelf-explanatory -  the add operation adds a word to the trie.Here's how you do that from your terminal :tricliaddWORDwhere WORD is the word you want to add. If WORD is already inside the trie, nothing will happen.DeleteThe delete operation removes a word from the trie.From terminal :triclideleteWORDwhere WORD is the word you want to delete. If WORD is not in the trie, then you will get a message saying that the operation failed. Note that if WORD is a prefix of other words in the trie, those other words will NOT get deleted.SearchThe search operation lets you know whether a word is inside of the trie or not.Like such :triclisearchWORDwhere WORD is the string you want to search for. If WORD is in the trie, you will get back True otherwise you will get False.ClearThe clear operation removes all words inside of the trie. Just do (no parameters) :tricliclearDisplayThe display operation shows you the trie (more specifically, the words in a trie) in an indentational format to make it easy for you to understand.As an example, say you have added the words "she", "sheet", "sheets", and "shot" (in that order) inside of your trie. Perform display by :triclidisplayand you can expect to see back :shesheetsheets
shotThis indentation style becomes clear and intuitive with this example. Essentially the display method prints out the words in the trie based on their prefix, and indents on a word to show that this word can be made by adding characters at the end of above words.AutocompleteLastly, the autocomplete function gives you the ability to type in a prefix string (regardless of whether its an actual word), and see if any words in the trie have that prefix.Let's see this with the same example we used in display. First run :tricliautocompleteshwhere "sh" can be replaced with any prefix string. Here we are looking for all of the words in the trie with the prefix "sh". You can then expect to get back :['she','sheet','sheets','shot']Final RemarksThat's it for the CLI. Hope you enjoy it. Feel free to email questions toanish.lakkapragada@gmail.com!
Package: tricorder
TricorderA collection of small frequently used tools updated regularly, focusing on MRI and PyTorchThe name of this project "Tricorder" was selected as a tribute to Star Trek.
A tricorder will be a multifunction hand-held device useful for data sensing, analysis, and recording, with many specialised abilities which will make it an asset to crews aboard starships and space stations as well as on away missions.History0.0.0 (2021-05-13)First release (basic structure, not the actual package code) on PyPI.
Package: tricubic
pytricubicpytricubic is a simple Python wrapper for the tricubic interpolation algorithm
by Lekien and Marsden based on the implementation by David Kirkby
(https://github.com/deepzot/likely). Performance compared to the reference
implementation has been improved drastically by doing the matrix multiplication with
the linear algebra template library Eigen.The tricubic interpolation scheme is described in:Lekien, F. and Marsden, J.: Tricubic interpolation in three dimensions.
In: International Journal for Numerical Methods
in Engineering (2005), No. 63, p. 455-471Installing pytricubic only requires CMake being installed and typing:pip install tricubicA manual build process is not necessary if you just want to use library.0. Building manuallyThis chapter assumes that you are working in a standard Linux environment with
tools like g++ and cmake already installed. The template libraries Eigen3 for
linear algebra and pybind11 for binding to Python are now included in the thirdparty
subfolder. Threfore, no external requirements exist.Installing pytricubic is as easy as:git clone git://github.com/danielguterding/pytricubic.git  
cd pytricubic  
mkdir build  
cd build  
cmake ../  
make1. UsageAn example of how to use the interpolator class is given in example.py. Only Python lists are
supported as inputs. Numpy arrays first have to be converted to Python lists.
Package: tricycle
This is a library of extensions toTrio, the friendly Python library
for async concurrency and I/O.Currently we have:a readers-writer lock (tricycle.RWLock)slightly higher-level stream wrappers (tricycle.BufferedReceiveStreamandtricycle.TextReceiveStream)some tools for managing cancellation (tricycle.open_service_nursery()andtricycle.MultiCancelScope)a way to make objects that want to keep background tasks running during the
object’s lifetime (tricycle.BackgroundObjectand the more generaltricycle.ScopedObject)an analog ofContextVarthat is inherited through the task tree rather
than acrossstart_soon()calls, and thus provides more safety for
accessing a resource that is being managed by a parent task
(tricycle.TreeVar)While we won’t release known-broken code, and we strive for
cleanliness and good test coverage, please be advised thattricycleis mostly one person’s box of tools and has not necessarily
been reviewed or tested to Trio’s standards. Itisbeing used in
production, and API churn has been minimal thus far although we’re not
making any firm stability guarantees. If you find that it doesn’t meet
your needs, feel free tolet us knowand we’ll endeavor to
improve things.tricycle is tested on Linux, Windows, and macOS, on CPython versions 3.8
through 3.12. It will probably work on PyPy as well.License and historytricycleis licensed under your choice of the MIT or Apache 2.0 license.
SeeLICENSEfor details.This library has its origins in a package of utilities that the author
wrote atHudson River Tradingwhile building things for them with Trio. Many thanks to HRT for
supporting open source in this way!
Package: trident
TridentTrident is an open-source Python package for analyzing astrophysical
hydrodynamics simulations of the interstellar, circumgalactic, and
intergalactic media.  It can generate ionic abundances for all relevant ions
to these studies based on collisional and photoionizational equilibrium.
It also possesses infrastructure to create synthetic absorption-line spectra
for making direct comparisons with observations.For detailed installation directions and examples of how to use the Trident,
please see the documentation.ResourcesTrident documentation:http://trident.readthedocs.orgThe Trident project homepage:http://trident-project.orgFor questions, comments, and announcements, please join our low-volume mailing list:https://groups.google.com/forum/#!forum/trident-project-users
Package: trident-chemwidgets
SummaryAboutInstallationDocumentationUsageAboutThe Trident Chemwidgets (TCW) package provides a set of Jupyter widgets to improve data visibility in cheminformatics and molecular machine learning.Trident Chemwidgets is a product of Trident Bioscience. Trident Bioscience builds machine learning applications for the biotech and pharmaceutical industries. If you're interested in learning more, you can visit us attrident.bioor email us atinfo@trident.bio.InstallationTrident Chemwidgets is available from pip and conda:pip:pipinstalltrident-chemwidgetsconda:conda install -c conda-forge trident-chemwidgetsThen, for Jupyter Lab, run:jupyter labextension install trident-chemwidgetsFull instructions here.DocumentationClick the link above to access thedocumentation. If you're looking for example notebooks, check out the links below (clone this repository to use them directly).JSME widgetHistogram widgetScatter widgetInteractiveMolecule widgetUsageWe suggest importing Trident Chemwidgets using the conventiontcw, as shown below.importtrident_chemwidgetsastcwInput functionsJSMETo facilitate molecular input, TCW provides an interface to theJSME Molecule Editorwith added functionality.editor=tcw.JSME()editorYou can play with JSME widget in thisnotebook.Plotting functionsUnderstanding the distribution of your data is critical to many cheminformatic tasks. To this end, we supply a number of interactive plotting functions that allow you to display both the data and underlying molecular structures. You can even subset and save the data based on the property values for use in downstream analysis.HistogramFor 1-dimensional datasets, TCW provides a histogram plot function:histogram=tcw.Histogram(data=data,smiles='smiles',x='tpsa',x_label='TPSA')histogramYou can play with Histogram widget in thisnotebook.Scatter plotFor 2-dimensional datasets, TCW provides a scatter plot function:scatter=tcw.Scatter(data=data,smiles='smiles',x='mwt',y='logp',x_label='Molecular Weight',y_label='logP')You can play with Scatter widget in thisnotebook.Output functionsInteractive moleculeTo examine features at the atom level, TCW provides a function to plot a molecule and allow users to explore the atom-specific features:mol=tcw.InteractiveMolecule('CC(C)CC1=CC=C(C=C1)C(C)C(=O)O',data=atom_data)molYou can play with InteractiveMolecule widget in thisnotebook.
Package: tridentstream
Stream everything…ContentsWARNING! ALPHA SOFTWARERequirementsInstallation guidesSetting UpExternal PlayersLicenseWARNING! ALPHA SOFTWARETridentstream is currently alpha software and this means stuff is broken and things change.
It also means that any plugin you make or use can break with any given update.Feel free to report bugs and potentially missing features so we can move the whole project into beta.
You can also take this chance to move the whole project in a direction you like.Due to the Alpha status (unstable interfaces between plugins internally) the tests are quite sparse. So things broken might not be caught automatically.The Alpha status includes the documentation that might be severely lacking or completely missing regarding certain aspects.RequirementsOnly tested on LinuxPython 3.7 or higherOptional RequirementsOrganized dataFriends with organized dataOther external data-sourcesInstallation guidesGet this party going with a basic setup,check out the ways to install in the setups repostiorySetting UpFirst time you login, a user is created with the info you logged in with. That is an administrative user.After you logged in, head over to the Admin page, click “Plugins”.The first plugin type you want to add is a new data source, that’s the plugins on the right side of the page.
This can be one from local or remote data, or it can be sourced from website you have access to (i.e. a searcher).Find one in the list that fits your need and add it. Then add a Section or a Store that works with your input.After you have finished changing a “Sections” or “Store”, remember to “Commit changes”External PlayersTridentstream Media Server does not really play anything by itself but can interact with some external players.Under “Features”, “full” means that it supports complete remote control and tracking through Tridentstream Media Server,
i.e. you can pause and play and it reports back how much you have watched of a given media item.Player supportNamePlayback trackingSections accessStore accessRelationNoteLinkKodi pluginYesYesNoFirst-partyLinkStreamProtocolNoN/aN/aFirst-partyOnly Windows for nowLinkLicenseMIT
Package: tridu33ml
tridu33 Learn Write a Machine learning framework:.it is a Coursework in kaikeba .afterpip install tridu33ml,thenpip listthis is a test about Boston price:#boston.pyimportnumpyasnpfromsklearn.datasetsimportload_bostonfromsklearn.utilsimportshuffle,resample#from miniflow import *# Load datadata=load_boston()X_=data['data']y_=data['target']# Normalize dataX_=(X_-np.mean(X_,axis=0))/np.std(X_,axis=0)n_features=X_.shape[1]n_hidden=10W1_=np.random.randn(n_features,n_hidden)b1_=np.zeros(n_hidden)W2_=np.random.randn(n_hidden,1)b2_=np.zeros(1)fromtridu33ml.nnimportcorefromtridu33ml.utilsimportutilities# Neural networkX,y=core.Placeholder(),core.Placeholder()W1,b1=core.Placeholder(),core.Placeholder()W2,b2=core.Placeholder(),core.Placeholder()l1=core.Linear(X,W1,b1)s1=core.Sigmoid(l1)l2=core.Linear(s1,W2,b2)cost=core.MSE(y,l2)feed_dict={X:X_,y:y_,W1:W1_,b1:b1_,W2:W2_,b2:b2_}epochs=5000# Total number of examplesm=X_.shape[0]batch_size=16steps_per_epoch=m//batch_sizegraph=utilities.topological_sort_feed_dict(feed_dict)trainables=[W1,b1,W2,b2]print("Total number of examples ={}".format(m))losses=[]foriinrange(epochs):loss=0forjinrange(steps_per_epoch):# Step 1# Randomly sample a batch of examplesX_batch,y_batch=resample(X_,y_,n_samples=batch_size)# Reset value of X and y InputsX.value=X_batchy.value=y_batch# Step 2_=Noneutilities.forward_and_backward(graph)# set output node not important.# Step 3rate=1e-2utilities.optimize(trainables,rate)loss+=graph[-1].valueifi%100==0:print("Epoch:{}, Loss:{:.3f}".format(i+1,loss/steps_per_epoch))losses.append(loss/steps_per_epoch)run the test :python boston.pythen you will see the training result.
Package: trie-again
Trie Again: Python Trie implementation optimized for T9 completionInstallationpipinstalltrie-again# in some cases you might want to adjust your compiler (the same is applicable for `poetry install`)CC='gcc'CFLAGS='-march=native'pipinstalltrie-againUsage# create an instancefromtrie_againimportTrie# if you want to use faster versionfromtrie_againimportCyTrietrie=Trie()# insert a single wordtrie.insert('boy')# insert a list of wordstrie.extend(['bondage','coverage'])# insert a list of words with multipliers (useful when parsing json)data={'bondage':10,'coverage':20,}trie.extend(data.keys(),data.values())# check key in trieprint('bondage'intrie)# True# list all keys, sorted by usageprint(list(trie))# ['coverage', 'bondage', 'boy']# complete simple, sorted by usageprint(list(trie.complete('b')))# ['bondage', 'boy']T9 Like completion# complete with t9 like approachprint(list(trie.complete(['bc','o','vn'])))# ['coverage', 'bondage']How it works?b o y
b o n d a g e
c o v e r a g e
^ ^ ^
1 2 3We use these groups to complete:bc,o,vn. It means that at position 1 it the letter may beborc, at position 2 onlyo, at position 3vorn.Test# test behaviorpoetryrunpytest# test performancepoetryrunpytest--benchmarkDev# very start (adjust compiler options if needed)poetryinstall# install pre commitpoetryrunpre-commitinstall# lintpoetryrunblack.
poetryrunflake8.
poetryrunmypy.# coveragepoetryruncoveragerun-mpytest&&poetryruncoveragereport-m# build package: limiting to sdist to compile it on installpoetrybuild-fsdistRead an article about the trie, friends!https://blagovdaryu.hashnode.dev/ok-lets-trie-t9-in-python
Package: trie-cli
trie-cliA CLI to interact with a global trie data structure.InstallationUse the package managerpipto install trie-cli.pipinstalltrie-cliUsageThe CLI includes methods to modify the global state of a trie hosted online.Insert a keyword into the trie:trie-cliinsert[YOURKEYWORD]Delete a keyword from the trie:trie-clidelete[YOURKEYWORD]Search for a keyword in the trie (returns True if the keyword is found/False if not):trie-clisearch[YOURKEYWORD]Return a list of autocomplete suggestions based on an input prefixtrie-cliautcomplete[YOURPREFIX]Display the trie (keywords are indicated with a * at the end of the node name):trie-clidisplayFor detailed information on command format, runtrie-cli --help.ServerThe trie-cli global state methods run on a Flask server hosted in Heroku. The global state of the trie is stored in a Neo4j graph database running inNeo4j Sandbox. Use the following REST endpoints to test the server.NameMethodcurlinsertPUTcurl -X PUT -H "Content-Type: application/json" -d '{"keyword"="[YOUR KEYWORD]"} "https://gentle-brushlands-20368.herokuapp.com/insert"deleteDELETEcurl -X DELETE "https://gentle-brushlands-20368.herokuapp.com/delete?keyword=[YOUR KEYWORD]"searchGETcurl -X GET "https://gentle-brushlands-20368.herokuapp.com/search?keyword=[YOUR KEYWORD]"autocompleteGETcurl -X GET "https://gentle-brushlands-20368.herokuapp.com/autocomplete?prefix=[YOUR PREFIX]"displayGETcurl -X GET "https://gentle-brushlands-20368.herokuapp.com/display"The CLI uses therequestsPython library to call the server endpoints.TestsA list of commands for testing the CLI can be found intests.sh.Sources ConsultedCLI:https://click.palletsprojects.com/en/7.x/https://docs.python-requests.org/en/master/Neo4J:https://py2neo.org/2021.0/index.htmlhttps://github.com/elena/py2neo-quickstartHeroku:https://realpython.com/flask-by-example-part-1-project-setup/PyPI:https://packaging.python.org/LicenseMIT
Package: trie-cli-global
trie-cli-globalA CLI that allows a user to update or see a data structure that is hosted globally.InstallationUsepipto install trie-global.pipinstalltrie-cli-globalUsageTo List Trie:trie-cli-global listTo add word to Trie:trie-cli-global add YOUR_WORDTo remove word from Trie:trie-cli-global remove YOUR_WORDTo check if word is from Trie:trie-cli-global check YOUR_WORDTo get recommendations from a prefix:trie-cli-global recommend YOUR_PREFIXLicenseMIT
Package: triedict
Chinese Desc基于字典树的匹配安装pip install triedictgithub demogithub官网链接:https://github.com/vegaviazhang/triedict过程先初始化需要匹配的term，再进行匹配term可以逐步增加优点利用空间换取时间，效率高term输入可以为一个tuple或list第一个元素为term本身，第二个元素为term的补充信息，可以为python的数据类型[str, tuple, dict, list, ...]返回位置索引其他有任何想法请添加issues好用的话请给GitHub项目星星哦English DescTrie Based Matchinginstallpip install triedictGithub url:Github Url:https://github.com/vegaviazhang/triedictProcessFirst initialize the terms to be matched, then matching.term can step to add.AdvantagesUsing space for time, High efficiency.Input of term can be tuple or listFirst element is term exactly, second is the supplementary information of the termThe type of the second can be str, tuple, dict, list, ... and so on.return the index of the wordOtherPlease add issues if you have any ideas.
Please give the GitHub project stars if it works well!
Package: triegex
*******triegex*******.. image:: https://travis-ci.org/ZhukovAlexander/triegex.svg?branch=master:target: https://travis-ci.org/ZhukovAlexander/triegexAbout######**triegex** is a library that builds a compact trie-structured regular expressions from a list of words.Installation########.. code-block:: bashpip install triegexExample usage########.. code-block:: python>>> import triegex>>>>>> t = triegex.Triegex('foo', 'bar', 'baz')>>>>>> t.to_regex()  # build regular expression'(?:ba(?:r\\b|z\\b)|foo\\b|~^(?#match nothing))'>>>>>> t.add('spam')>>>>>> 'spam' in t  # you check if the word is in thereTrue>>>>>> import re>>> re.findall(t.to_regex(), 'spam & eggs')  # ['spam']['spam']Why?####The library was inspired by a need to match a list of valid IANA top-level domain names (`which is pretty big <http://data.iana.org/TLD/tlds-alpha-by-domain.txt>`_).Also it's fun**triegex** was influenced by these projects: `frak <https://github.com/noprompt/frak>`_, `regex-trie <https://github.com/alexeld/regex-trie>`_ and `Regexp-Trie <http://search.cpan.org/~dankogai/Regexp-Trie-0.02/lib/Regexp/Trie.pm>`_
Package: triegig
TriegigInteract with the global trie right from your localhost with the simplest commands. Forget trying to implement the data structure all by yourself when you can implement the data structure by just importing the library.Users have the option to add, remove, search, and even emulate a search prefix predictor with this trie library.ImportingUsers can import the trie using: the commandfrom tree import initializer().This will import the Global Trie to your workspace.Adding a word to the trieUsers can add words to the trie using the command:Syntax:initializer().add_child(word).Note: Theinitializer()can be set to a variable name when importing to make code much cleaner.Removing a keywordUsers can also remove words from the trie using the command:Syntax:initializer().delete()The user will then be asked to type in a word, which the program will delete letter by letter from the trie.Searching for a Word in the TrieUsers can search for words in the trie.Syntax:initializer().search_keyword()The user will be prompted to search for a word, and the program will return eitherTrueorFalseif the word is in the Trie.Auto-Complete SimulatorUsers can type a prefix and the program will return all the words in the trie that start with that very prefix.Syntax:initializer().input_prefix()The command will return a list of all the words in the trie that match the prefix inputted.
Package: trie-gnolano
trieThis repository is dedicated to my implementation of trie structures for Python. This was mainly developed to handle vocabulary search.A trie is a type of tree data structure, where each node identifies a string, and edges between nodes represent individual characters. Given a vocabulary, two nodes $n_1$ and $n_2$ are connected by an edge $c_1$ only if $n_1+c_1$ = $n_2$. The resulting structure can traversed depth-first to optimize search in the given vocabulary.Our trie structure is initialized as follows:from trie.trie import Trie

T = Trie()Once it is initialized, our structure has only a_root_node, which will represent the starting point of all the following nodes. The root node can be accessed throughT.root, and it cannot have any parent node.A node is represented by a simple object with a string value (usually a single character), a depth, an identifier, a parent and a list of children. Only the value is needed to initialize a basic node, as follows:a = Node('a')
# this node represents the letter 'a'Adding NodesNodes can then be inserted in two different ways:manually by using the functionT.add\_node(parent_node, child_node)T.add_node(T.root, a)this will automatically assign the correct depth to the child node, give it an unique identifier, and update its parent node. Furthermore, the children list forT.rootare updated as well.automatically using the functionT.insert_string(string). In this case, the module will look for the string in the current trie, and the it will insert all the characters that are not present in the structureT.insert_string('alba')
#since the string 'a' is already present in the trie, this function will add nodes representing the strings 'al', 'alb', and 'alba'.Searching for StringsYou can look for a specific string by using the functionT.search(string), which will traverse the trie depth-first and will return the deepest node it can find given the query string. If the node is terminal (i.e., it does not have any children of its own) the string was found successfully.
Package: trie_mod
A pure python trie class is provided.  It is
thoroughly unit tested, passes pylint, and is known
to run on CPython 2.[567], CPython 3.[01234], Pypy 2.4.0, Pypy3 2.4.0 and
Jython 2.7b3.This trie looks like a dictionary that’s always
sorted by key.  It’s well suited to storing large, natural-language dictionaries.Note that although the iteration API is lazy, the implementation
is still eager.It gives constant time access to a potentially-large collection
of strings.