xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

9cd46dbde3d284f4f7d4efaec8f2ae8009191856

138

py

Python

references/aoapc-book/BeginningAlgorithmContests/python/ch1/p1-1.py

voleking/ICPC

fc2cf408fa2607ad29b01eb00a1a212e6d0860a5

[ "MIT" ]

68

2017-10-08T04:44:23.000Z

2019-08-06T20:15:02.000Z

BAC/python/ch1/p1-1.py

Anyrainel/aoapc-related-code

e787a01380698fb9236d933462052f97b20e6132

[ "Apache-2.0" ]

null

BAC/python/ch1/p1-1.py

Anyrainel/aoapc-related-code

e787a01380698fb9236d933462052f97b20e6132

[ "Apache-2.0" ]

18

2017-05-31T02:52:23.000Z

2019-07-05T09:18:34.000Z

from sys import stdin from math import * r, h = map(float, stdin.readline().strip().split()) print "Area = %.3lf" % (pi*r*r*2 + 2*pi*r*h)

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138

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21,032

py

Python

alpaca/resources/tutorials/ALPACA_create_docker.py

C0C0AN/ALPACA

bfe6012ebc7f7df92ddda2eede3b1b41eb39db90

[ "BSD-3-Clause" ]

5

2018-12-14T14:17:44.000Z

2020-11-03T03:15:04.000Z

alpaca/resources/tutorials/ALPACA_create_docker.py

PeerHerholz/ALPACA

39b037c38a122d4e8c3cf2cfe465d38a7c31fa99

[ "BSD-3-Clause" ]

9

2018-06-01T16:11:39.000Z

2020-03-21T01:37:35.000Z

alpaca/resources/tutorials/ALPACA_create_docker.py

C0C0AN/ALPACA

bfe6012ebc7f7df92ddda2eede3b1b41eb39db90

[ "BSD-3-Clause" ]

5

2018-01-26T15:16:40.000Z

2020-11-03T03:15:05.000Z

# --- # jupyter: # jupytext: # formats: py,ipynb # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.3.3 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # #           Automatic Locazation and Parcellation of Auditory Cortex Areas ##                                                     (ALPACA) #                                                                        <img src="../img/ALPACA_logo.png" alt="alpaca logo" width="370" height="250" border="10"> # ##                                          create the ALPACA docker container # ### This notebook will show you how to create the ALPACA docker container used to apply the toolbox, including short explanations of the respective packages and software. Furthermore, it'll also give a brief introduction into docker itself, as well as the process of generating, building and managing docker containers. # Please note that this notebook won't work on on [binder](https://mybinder.org/) as it includes commands to create and build a Docker image and the same holds true when you run it within the ALPACA Docker or Singularity image. It thus only runs locally. Furterhmore, to not be dependent on adding the bash kernel, every cell starts with `%%bash` to allow the execution of # bash commands in a jupyter notebook running a python kernel. # ### docker - reproducibility in a container # *This section is taken from the [ALPACA - data organization and prerequisites notebook](ALPACA_data_organization_prerequisites.ipynb).* # <img src="../img/logoDocker.png" alt="Drawing" style="width: 400px;"/> # [Docker](https://www.docker.com/) is an open-source project that automates the deployment of applications inside software containers. Those containers wrap up a piece of software in a complete filesystem that contains everything it needs to run: code, system tools, software libraries, such as [Python](https://www.python.org), neuroimaging related software such as [FSL](https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FSL), [AFNI](https://afni.nimh.nih.gov), [SPM](http://www.fil.ion.ucl.ac.uk/spm/), [FreeSurfer](https://surfer.nmr.mgh.harvard.edu), [ANTs](http://stnava.github.io/ANTs/) and pretty much any other open source software or tools. This guarantees that it will always run the same, regardless of the environment it is running in. As this notebook will just briefly talk about docker and it's application, make sure you go through this very nice and comprehensive [introduction to docker](http://nipy.org/workshops/2017-03-boston/lectures/lesson-container/#1). # # Wondering why we're actually talking about this (I mean besides the already mentioned advantages)? Well, as ALPACA is commited and interested in open and reproducible (neuro-)science, the toolbox itself will be in a docker container one day and everything we focus on here will highly depend on / make us of docker. Additionally, and I can't stress this enough, it's incredibly useful. Now, let's check some basic docker commands: # ##### Install docker # Before you can do anything, you first need to install [docker](https://www.docker.com/) on your system. # The installation process differes per system. Luckily, the docker homepage has nice instructions for... # # - [Ubuntu](https://docs.docker.com/engine/installation/linux/docker-ce/ubuntu/) or [Debian](https://docs.docker.com/engine/installation/linux/docker-ce/debian/) # - [Windows 7/8/9/10](https://docs.docker.com/toolbox/toolbox_install_windows/) or [Windows 10Pro](https://docs.docker.com/docker-for-windows/install/) # - [OS X (from El Capitan 10.11 on)](https://docs.docker.com/docker-for-mac/install/) or [OS X (before El Capitan 10.11)](https://docs.docker.com/toolbox/toolbox_install_mac/) # # Once Docker is installed, open up a terminal and test it works properly with the command: docker run hello-world # **Note**: Linux users might need to use `sudo` to run `docker` commands or follow [post-installation steps](https://docs.docker.com/engine/installation/linux/linux-postinstall/). # # ##### Pulling and checking available docker images # You can download various docker images from [docker hub](https://hub.docker.com), which always works like this: # # `docker pull docker_id/docker_image:version` , e.g. `docker pull peerherholz/ALPACA:latest` # # **Note**: you don't have to include `:version` if you're not looking for a specific version. When not including it, `:latest` is set by default. # # Once it's done or whenever you want, you can check available images on your system: docker images # ##### How to run docker images # After installing docker on your system, making sure that the hello-world example was running and pulling one or the other docker image you would like to use, you are good to go and actually run a docker image. The exact implementation of that is a bit different for Windows user, but the general commands look similar. The standard version goes something like this: # # `docker run -it --rm -p 8888:8888 docker_id/docker_image command` # # However, if you want use stuff (notebooks, code, scripts, etc.) which are not included in the respective docker image, but should run within it's environment, access process or save local or remote data, you can also mount your directories, e.g.: # # `docker run -it --rm -v /path/to/resources/:/home/resources -v /path/to/data/:/home/data -v /path/to/output/:/home/output -p 8888:8888 docker_id/docker_image command` # # # But what do those flags mean? # # - the `-it` flag tells docker that it should open an interactive container instance # - the `--rm` flag tells docker that the container should automatically be removed after we close docker # - the `-p` flag specifies which port we want to make available for docker # - the `-v` flag tells docker which folders should be mount to make them accesible inside the container. Here: /path/to/resources is your local directory where you stored notebooks, functions, scripts. /path/to/data/ is a directory where you stored your data, and /path/to/output can be an empty directory that will be used for output. - The second part of the `-v` flag (here: /home/resources, /data or /output) specifies under which path the mounted folders can be found inside the container. Important: To use the resource, data, output or any other folder, you first need to create them on your local system! # - `docker_id/docker_image` tells docker which image you want to run # - `command` tells docker, that you want to directly run a certain command within the container # ##### Docker tips and tricks # ###### Access docker container with bash # You can access a docker container directly with bash or ipython by adding it to the end of your command, i.e.: # # `docker run -it --rm -v /path/to/resources/:/home/resources -v /path/to/data/:/home/data -v /path/to/output/:/home/output -p 8888:8888 docker_id/docker_image bash` # # `docker run -it --rm -v /path/to/resources/:/home/resources -v /path/to/data/:/home/data -v /path/to/output/:/home/output -p 8888:8888 docker_id/docker_image ipython` # # # This also works with other software commands, such as bet etc. # # ###### Stop Docker Container # To stop a running docker container, either close the docker running terminal or select the terminal and press the `Ctrl-C` shortcut twice. # ###### List all installed docker images # To see a list of all installed docker images use: # # `docker images` # ###### Delete a specific docker image # To delete a specific docker image, first use the `docker images` command to list all installed containers and than use the `IMAGE ID` and the `rmi` instruction to delete the container: docker rmi -f IMAGE ID # ###### Export and import a docker image # If you don't want to depend on a internet connection, you can also export an already downloaded docker image and than later on import it on another PC. To do so, use the following two commands: # # - export docker image docker_id/docker_image # # `docker save -o docker_image.tar docker_id/docker_image` # # - import docker image on another PC # # `docker load --input docker_image.tar` # # It might be possible that you run into administrator privileges isssues because you ran your docker command with `sudo`. This means that other users don't have access rights to `docker_image.tar`. To avoid this, just change the rights of `docker_image.tar` with the command: # # `sudo chmod 777 docker_image.tar` # # For more information check the [already mentioned introduction](http://nipy.org/workshops/2017-03-boston/lectures/lesson-container/#1) or Michael Notter's [introduction to docker notebook](https://miykael.github.io/nipype_tutorial/notebooks/introduction_docker.html). # # After learning a little bit about docker, let's actually create and build a container. # ### creating & building docker containers - there and back again # You might think: do I really need to know this and why is it important anyway? Well, besides a bunch of points, here are two very obvious and major points: reproducibility and sharing/standardization. Focusing the first, the [introduction section](#docker---reproducibility-in-a-container) already briefly mentioned that through the possibility of wrapping up entire systems/setups, docker is a great tool with regard to reproducibility. More precisely, you can provide the exact same setup you used for a certain analysis or even study together with the respective so that others (fellow researchers, reviewers, your friends and family, etc.) can reproduce your results or apply your work to new data with ease. Along many positive effects this also boosts your integrity, big time. Focusing the latter, docker also helps you collaborating with peeps and to establish standards, increasing your impact tremendously. If you've developed a great and robust pipeline, why not share it with others so that they can benefit from it as well? Maybe you'll also be able to support the further standardization of neuroinformatics related applications (in terms of state of the art and best practise, of course), like e.g. [BIDS apps](http://bids-apps.neuroimaging.io) do. After all we're all in this together and for (neuro-)science, not for our egos. # ##### Dockerception # There are actually a lot of amazing resources on how to create, build and ship docker containers. From the [documentation on the docker website](https://docs.docker.com/engine/reference/commandline/create/) and [guides](https://deis.com/blog/2015/creating-sharing-first-docker-image/) to even [youtube videos](https://www.youtube.com/watch?v=K6WER0oI-qs). This already seems quite comprehensive and helpful, eh? But wait for it: the neuroscience community is actually lucky enough that there's a docker image that creates docker images for neuroscience related applications, so basically, dockerception! It's called [neurodocker](https://www.youtube.com/watch?v=K6WER0oI-qs) and is nothing but off the charts. As it makes the creation of docker images for reproducible neuroscience reproducible and because it's super straightforward, ALPACA also uses [neurodocker](ttps://www.youtube.com/watch?v=K6WER0oI-qs). # # As usally, at first you need to pull the image: sudo docker pull kaczmarj/neurodocker # neurodocker supports a vast variety of neuroinformatics related applications and software. For a comprehensive overview make sure to check the [respective sections on it's github page](https://github.com/kaczmarj/neurodocker#supported-software). The basic functionality is as with any other docker image: you need to run it with certain options / specifications. # # The run command itself should already look familiar to you: # `sudo docker run --rm kaczmarj/neurodocker` # # What follows aren't mounts of data paths or functions, but all the applications, packages and software you want to include in your docker image. Furthermore, also settings with regard to the container's architecture, where the docker file should be saved, etc. For the ALPACA toolbox this looks like this: docker run --rm kaczmarj/neurodocker:master generate -b neurodebian:stretch-non-free -p apt \ --install git nano num-utils gcc g++ curl build-essential graphviz gcc g++ tree git-annex-standalone\ --user=alpaca \ --miniconda env_name=alpaca \ conda_install="python=3.7 notebook ipython numpy pandas traits jupyter jupyterlab matplotlib scikit-image scikit-learn seaborn vtk" \ pip_install="ipywidgets ipyevents jupytext nilearn nistats nibabel jupytext nipype nipy rdflib mne mayavi nilearn datalad ipywidgets pythreejs nibabel pymvpa2 PySurfer pybids pygraphviz datalad" \ activate=true \ --run 'mkdir -p ~/.jupyter && echo c.NotebookApp.ip = \"0.0.0.0\" > ~/.jupyter/jupyter_notebook_config.py' \ --entrypoint="/neurodocker/startup.sh" --cmd jupyter notebook # This might look confusing and overwhelming at first glance, but don't worry, we're gonna dissect the parts: # As mentioned, the run command itself should already look familiar to you: # # `sudo docker run --rm kaczmarj/neurodocker` # # This just tells docker that we want to run the image `kaczmarj/neurodocker` with root privileges and that it should automatically be removed after closing docker (check the corresponding [section](#How-to-run-docker-images) in this notebook). # # Subsequently, we tell neurodocker which applications, packages and software we want to include in our container, starting with a minimal neurodebian system and the package manager `apt`: # # `-b neurodebian:stretch-non-free -p apt \` # # Continuing with neuroimaging related software packages: # # `--afni version=latest \` # # `--ants version=2.2.0 \` # # `--c3d version=1.0.0 \` # # `--freesurfer version=6.0.0 min=true \` # # `--fsl version=5.0.10 \` # # *What are these and how does ALPACA make use of it?*: # # - [afni](https://afni.nimh.nih.gov) → preprocessing (e.g. despiking) and surface based analyses # - [ants](http://stnava.github.io/ANTs/) → registrations & transformations # - [c3d](https://sourceforge.net/projects/c3d/) → converting of file formats # - [freesurfer](https://surfer.nmr.mgh.harvard.edu) → registrations & conversions # - [fsl](https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FSL) → preprocessing (e.g. motion correction) and statistics # After that, some useful applications: # # `--install git nano swig graphviz\` # # *What are these and how does ALPACA make use of it?*: # # - [git](https://git-scm.com) → version control for all types of data # - [nano](https://en.wikipedia.org/wiki/GNU_nanohttps://en.wikipedia.org/wiki/SWIG) → basic text editor to checkt scripts, etc. # - [graphviz](https://www.graphviz.org) → graph visualization (needed for nipype) # - [gcc](https://en.wikipedia.org/wiki/GNU_Compiler_Collection) → C compiler for GNU # - [g++](https://www.cprogramming.com/g++.html) → C++ compiler for GNU # - [tree](http://manpages.ubuntu.com/manpages/trusty/man1/tree.1.html) → recursive directory listing program # - [git-annex-standalone](https://git-annex.branchable.com) → file managing with git # Now to the real fun, a python distribution including a variety of packages: # # `--user alpaca \` # # `--miniconda env_name=alpaca \` # # `conda_install="python=2.7 numpy pandas traits jupyter jupyterlab matplotlib scikit-image scikit-learn seaborn # vtk" \` # # `pip_install="nipype rdflib nipy mne mayavi nilearn datalad nibabel pymvpa2 PySurfer pybids pygraphviz" \` # # `activate=true \` # # *What are these and how does ALPACA make use of it?*: # # - create an environment named "alpaca" using [miniconda](https://conda.io/docs/glossary.html#miniconda-glossary) # - use [conda](https://conda.io/docs/glossary.html#conda-glossary) to install python packages # - [python 2.7](https://www.python.org/download/releases/2.7/) → python 2 version as basis for toolbox (needed by certain packages like e.g. pymvpa2) # - [numpy](http://www.numpy.org) → scientific computing, reading, manipulation & writing of images (through nibabel & nilearn) # - [pandas](https://pandas.pydata.org) → data munging, preparation and analyses # - [traits](https://pypi.python.org/pypi/traits) → adding characteristics to python object attributes (important for nipype) # - [jupyter](http://jupyter.org) → spin-off of [ipython](https://en.wikipedia.org/wiki/IPython) enabling the application of [notebooks](https://en.wikipedia.org/wiki/IPython#Notebook) like this one (or the other interactive tutorials of the ALPACA toolbox) # - [jupyterlab](https://github.com/jupyterlab/jupyterlab) → further extends the functionality of jupyter notebooks # - [matplotlib](https://matplotlib.org) → 2 D plotting library used for the generation and adjustment of graphics # - [scikit-image](http://scikit-image.org) → image processing # - [scikit-learn](http://scikit-learn.org/stable/index.html) → workhorse for anything related to machine learning analyses (e.g. through nilearn & pymvpa2) # - [seaborn](https://seaborn.pydata.org/index.html) → generation of statistical graphics # - [vtk](https://pypi.python.org/pypi/vtk) → 3 D graphics, image processing & visualization # - [nipype](http://nipype.readthedocs.io/en/latest/) → interface to neuroimaging software, fascilitates interaction between them, used to create processing workflows # - [rdflib](https://github.com/RDFLib/rdflib) → representation of information in graphs # - [nipy](http://nipy.org/nipy/) → analyses of neuroimaging data # - [mne](https://martinos.org/mne/stable/index.html) → exploring, analyzing & visualizing of eeg data # - [mayavi](http://docs.enthought.com/mayavi/mayavi/) → 3 D data visualization & plotting (mainly within mne) # - [nilearn](http://nilearn.github.io/index.html) → statistical learning on, reading, manipulating & writing of neuroimaging data, plotting # - [datalad](http://datalad.org) → manage, download, upload data # - [nibabel](http://nipy.org/nibabel/) → read, write access to neuroimaging data (through e.g. nilearn) # - [pymvpa2](http://www.pymvpa.org) → statistical learning analyses on neuroimaging data # - [PySurfer](https://pysurfer.github.io) → visualization of cortical surface representations of neuroimaging data # - [pybids](https://github.com/INCF/pybids) → interactions with data sets in BIDS format # - [pygraphviz](https://pygraphviz.github.io) → python interface to graphviz # Last but not least, indicate the user working directory within the container: # # `--user alpaca \` # # `--workdir /home/alpaca \` # We're gonna finish with providing an output path and name for the dockerfile: # # `--no-check-urls > Dockerfile` # With that we created our Dockerfile containing all information necessary. It should be saved in whatever directory you run the code from above. Subsequently, we need to actually build our docker image to be able to run and ship it. # ##### build me up dockercup # Building the docker image is comparably easy, straightforward and done in one line: docker build -t alpaca -f Dockerfile . # A bit more in depth, we're starting with telling (kindly asking) docker to build a docker image based on the subsequent specifications (arguments and options): # # ``docker build`` # This is followed by providing a name (and optionally a tag if you want) for our docker image, naming ours "alpaca" # # ``-t alpaca`` # # **hint**: the docker build command only accepts all non-capital names. If you want to additionally provide a tag, you should use the following scheme: `name:tag`, e.g. `-t alpaca:firstdraft` . This is very important in terms of enabling a good and comprehnsible version control of your docker image. # After that, you (hopefully) can relax and enjoy the magic happen. Depending on your machine and the specific Dockerfile, creating a docker image can take a while. So, don't worry if it takes more than a couple of minutes. The terminal output will actually give information on what's currently happening and allows

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9cf9d48a6b154d4fc231fa41aad805d9aea594a8

16,418

py

Python

midca/metamodules/control.py

COLAB2/midca

18d6b13e3d6b0d980cd3453196e82fad7302e79b

[ "MIT" ]

12

2018-01-23T01:31:33.000Z

2022-02-03T04:47:10.000Z

midca/metamodules/control.py

COLAB2/midca

18d6b13e3d6b0d980cd3453196e82fad7302e79b

[ "MIT" ]

32

2017-11-02T20:58:03.000Z

2021-04-15T18:59:27.000Z

midca/metamodules/control.py

COLAB2/midca

18d6b13e3d6b0d980cd3453196e82fad7302e79b

[ "MIT" ]

5

2017-12-01T17:28:01.000Z

2020-03-18T14:43:32.000Z

import os, copy import importlib from midca import base, goals, modules from midca.modules.gens import goaltransform class MRSimpleControl(base.BaseModule): midca = None prev_init_args = [] # TODO: fix, right now used only for planning and saving args # from a remove module action and then using the args to # insert a new module action def run(self, cycle, verbose=2): self.verbose = verbose plan = self.mem.get(self.mem.META_PLAN) self.prev_init_args = [] failed = False if plan: for action in plan: if not self.act(action): failed = True if self.verbose >= 1: print(" MRSimpleControl failed to complete an action") self.cleanup_and_reset() if not failed: self.cleanup_and_reset() else: if self.verbose >= 1: print(" No actions taken") def cleanup_and_reset(self): """ Temporary function to remove goal and plan, should eventually be replaced by evaluate """ self.mem.set(self.mem.META_PLAN, None) self.mem.set(self.mem.META_GOALS, None) self.mem.set(self.mem.META_CURR_GOAL, None) self.mem.set(self.mem.PLAN, []) def act(self, action, verbose=2): # TODO: figure out a way to make the init_args more general (so actions can be kept separate) if action[0] == "REMOVE-MODULE": # find the component module_index = -1 phase = None mod_str = "" class Found(Exception): pass # is this bad python? should this go at top of my file? try: for phasei in self.mem.myMidca.get_phases(): i = 0 for mod in self.mem.myMidca.get_modules(phasei): mod_str = str(mod.__class__.__name__) print(("-*-*- act(): mod = " + mod_str + ", action[1] = " + str(action[1]))) if mod_str == action[1]: print("-*-*- act(): we got a match!") module_index = i phase = phasei raise Found i += 1 except Found: # remove the component # print("-*-*- act(): phase = "+str(phase)+", module_index = "+str(module_index)) if phase and module_index > -1: mod = self.mem.myMidca.remove_module(phase, module_index) print("mod is " + str(mod)) self.prev_init_args = mod.get_init_args() # TODO: only works for modules implementing get_init_args print("got init args: " + str(self.prev_init_args)) is_success = mod_str not in [x.__class__.__name__ for x in self.mem.myMidca.get_modules(phase)] if is_success: print( (" Metareasoner removed " + mod_str)) # report any actions metareasoner carried out return is_success elif action[0] == "ADD-MODULE": if action[2] == "PyHopPlanner": # print("current directory: "+str(os.getcwd())) # print("str(dir(modules)) = "+str(dir(modules))) planningModuleInstance = importlib.import_module("midca.modules.planning") print(("loaded planning module, it has following attributes: " + str(dir(planningModuleInstance)))) # get the args used to init the old module and use them to init this one print("init args is " + str(self.prev_init_args)) # **** BEGIN: MAGIC! Transform the args ***** # This is where the real magic happens # Hardcoded for now # Very Important TODO but likely requires serious research effort from midca.domains.blocksworld.plan import methods working_methods = methods.declare_methods corrected_args = self.prev_init_args hardcoded_index_of_methods_arg = 2 # TODO: I know, so hacky, ahhh magic numbers corrected_args[2] = working_methods # **** END: MAGIC! Transform the args ***** pyHopPlannerInstance = planningModuleInstance.PyHopPlanner(*corrected_args) self.mem.myMidca.runtime_append_module("Plan", pyHopPlannerInstance) # TODO: hardcoded knowledge of Plan phase is_success = "PyHopPlanner" in [x.__class__.__name__ for x in self.mem.myMidca.get_modules("Plan")] if is_success: print( " Metareasoner added PyHopPlanner") # report any actions metareasoner carried out return is_success elif action[2] == "AsynchPyhopPlanner": # print("current directory: "+str(os.getcwd())) # print("str(dir(modules)) = "+str(dir(modules))) planningModuleInstance = importlib.import_module("midca.modules.planning") print(("loaded asynchronous planning module, it has following attributes: " + str( dir(planningModuleInstance)))) # get the args used to init the old module and use them to init this one # print "init args is "+str(self.prev_init_args) ###### HACK: hardcoded for now as a demo, this is because the initial broken # planner had different parameters for instantiating it, so we cant use the\ # same prev_init_args, and thus changing them here from midca.modules._plan.asynch import operators_sr, methods_sr self.prev_init_args = [methods_sr.declare_methods, operators_sr.declare_ops] # **** BEGIN: MAGIC! Transform the args ***** # This is where the real magic happens # Hardcoded for now # Very Important TODO but likely requires serious research effort # from midca.domains.blocksworld.plan import methods # working_methods = methods.declare_methods corrected_args = self.prev_init_args # hardcoded_index_of_methods_arg = 2 # TODO: I know, so hacky, ahhh magic numbers # corrected_args[2] = working_methods # **** END: MAGIC! Transform the args ***** pyHopPlannerInstance = planningModuleInstance.AsynchPyhopPlanner(*corrected_args) self.mem.myMidca.runtime_append_module("Plan", pyHopPlannerInstance) # TODO: hardcoded knowledge of Plan phase is_success = "AsynchPyhopPlanner" in [x.__class__.__name__ for x in self.mem.myMidca.get_modules("Plan")] if is_success: print( " Metareasoner added AsynchPyhopPlanner") # report any actions metareasoner carried out return is_success elif action[0] == "TRANSFORM-GOAL": # really: its going to have this meta plan by changing the things in orange - # you don't monitor and look at the trace to see if the goal transformation achieved something # at the ground level, so then meta-evaluate can know if the metagoal succeeded. What if I made the # wrong transformation? # specific to mortar and blocks world, not general # get the highest blocks goal_atoms = action[1] goal_args = [x.get_args() for x in goal_atoms] # figure out how much mortar we have using the world state num_available_mortar = 0 for atom in map(str, self.mem.get("__world states")[-1].get_atoms()): if 'available(' in atom: num_available_mortar += 1 if verbose >= 3: print(("found available mortar: " + str(atom))) # transform 'stable-on' to 'on' predicates ensuring there is enough mortar for each bottom_blks = [] top_blks = [] for a_tpl in goal_args: bottom_blks.append(a_tpl[1]) top_blks.append(a_tpl[0]) bottommost_blk = [b for b in bottom_blks if b not in top_blks][0] transformed_goal_atoms = [] # transform goal atoms curr_bottom_blk = bottommost_blk while curr_bottom_blk in bottom_blks: i = bottom_blks.index(curr_bottom_blk) top_blks[i] if num_available_mortar > 0: transformed_goal_atoms.append("stable-on," + top_blks[i] + "," + curr_bottom_blk) num_available_mortar -= 1 else: transformed_goal_atoms.append("on," + top_blks[i] + "," + curr_bottom_blk) curr_bottom_blk = top_blks[i] # now make actual MIDCA goal objects transformed_goals = [] for atom_str in transformed_goal_atoms: vals = atom_str.split(",") transformed_goals.append(goals.Goal(*[vals[1], vals[2]], predicate=vals[0])) goalGraph = self.mem.get(self.mem.GOAL_GRAPH) # do removal first for g in goal_atoms: goalGraph.remove(g) if verbose >= 2: # now display success statement print("Removed from the goal graph the previous goal:") for g in goal_atoms: print((" " + str(g))) # now display transformed goal if verbose >= 2: print("Goal has been transformed to:") for g in transformed_goals: print((" " + str(g))) # now insert the new goal for g in transformed_goals: goalGraph.insert(g) if verbose >= 2: print("Transformed goal has been inserted into goal graph.") return True # goals.Goal(*['A_','B_'], predicate = 'stable-on'), # goals.Goal(*['C_','A_'], predicate = 'stable-on'), # goals.Goal(*['D_','C_'], predicate = 'stable-on') # and go top down # first, get the heights class MRSimpleControl1(base.BaseModule): midca = None ''' def init(self, world): if not world: raise ValueError("world is None!") self.world = world ''' def run(self, cycle, verbose=2): plan = self.mem.get(self.mem.META_PLAN) failed = False if plan: for action in plan: if not self.act(action): failed = True if verbose >= 2: print(" MRSimpleControl failed to complete an action") self.cleanup_and_reset() if not failed: self.cleanup_and_reset() else: if verbose >= 2: print(" No actions taken") def cleanup_and_reset(self): """ Temporary function to remove goal and plan, should eventually be replaced by evaluate """ self.mem.set(self.mem.META_PLAN, None) self.mem.set(self.mem.META_GOALS, None) self.mem.set(self.mem.META_CURR_GOAL, None) def act(self, action, verbose=2): if action[0] == "REMOVE-MODULE": # find the component module_index = -1 phase = None mod_str = "" class Found(Exception): pass # is this bad python? should this go at top of my file? try: for phasei in self.mem.myMidca.get_phases(): i = 0 for mod in self.mem.myMidca.get_modules(phasei): mod_str = str(mod.__class__.__name__) # print("-*-*- act(): mod = "+mod_str+", action[1] = "+str(action[1])) if mod_str == action[1]: # print("-*-*- act(): we got a match!") module_index = i phase = phasei raise Found i += 1 except Found: # remove the component # print("-*-*- act(): phase = "+str(phase)+", module_index = "+str(module_index)) if phase and module_index > -1: self.mem.myMidca.remove_module(phase, module_index) is_success = mod_str not in [x.__class__.__name__ for x in self.mem.myMidca.get_modules(phase)] if is_success: print( (" Metareasoner removed " + mod_str)) # report any actions metareasoner carried out return is_success elif action[0] == "ADD-MODULE": if action[2] == "PyHopPlanner": # print("current directory: "+str(os.getcwd())) planningModuleInstance = __import__("modules.planning") # print("loaded planning module, it has following attributes: "+str(dir(planningModuleInstance))) pyHopPlannerInstance = planningModuleInstance.planning.PyHopPlanner(True) self.mem.myMidca.runtime_append_module("Plan", pyHopPlannerInstance) # TODO: hardcoded knowledge of Plan phase is_success = "PyHopPlanner" in [x.__class__.__name__ for x in self.mem.myMidca.get_modules("Plan")] if is_success: print( " Metareasoner added PyHopPlanner") # report any actions metareasoner carried out return is_success elif action[0] == "TRANSFORM-GOAL": # really: its going to have this meta plan by changing the things in orange - # you don't monitor and look at the trace to see if the goal transformation achieved something # at the ground level, so then meta-evaluate can know if the metagoal succeeded. What if I made the # wrong transformation? # print(self.world.cltree.rootnode.predicate) # specific to mortar and blocks world, not general # get the highest blocks # goal_check is the copy of goal graph intended to check the goalgraph goals and delete the goals in the goal graph goal_check = copy.deepcopy(action[1]) goal_atoms = action[1] goal_args = [x.get_args() for x in goal_atoms] mem = self.mem # get the world world = self.mem.myMidca.midca.world # initialize the resources for goal transform goaltransform.resources(mem) transformed_goals = [] goalGraph = self.mem.get(self.mem.GOAL_GRAPH) for i in range(0, len(goal_atoms)): trans_goal = goaltransform.choose(mem, goal_atoms[i]) transformed_goals.append(trans_goal) world.cltree['checked'] = [] # do removal first for g in goal_check: goalGraph.remove(g) if verbose >= 2: # now display success statement print("Removed from the goal graph the previous goal:") for g in goal_check: print((" " + str(g))) # now display transformed goal if verbose >= 2: print("Goal has been transformed to:") for g in transformed_goals: print((" " + str(g))) # now insert the new goal for g in transformed_goals: goalGraph.insert(g) self.mem.set(self.mem.CURRENT_GOALS, transformed_goals) if verbose >= 2: print("Transformed goal has been inserted into goal graph.") return True # goals.Goal(*['A_','B_'], predicate = 'stable-on'), # goals.Goal(*['C_','A_'], predicate = 'stable-on'), # goals.Goal(*['D_','C_'], predicate = 'stable-on') # and go top down # first, get the heights

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9cf9fb43abda8ad5b502fe2ae736d8fa9235e840

78

py

Python

src/core/__init__.py

SELO77/django_template

7686ffc3ea0f5eba355702426a94c98a7f71086d

[ "BSD-2-Clause" ]

null

src/core/__init__.py

SELO77/django_template

7686ffc3ea0f5eba355702426a94c98a7f71086d

[ "BSD-2-Clause" ]

null

src/core/__init__.py

SELO77/django_template

7686ffc3ea0f5eba355702426a94c98a7f71086d

[ "BSD-2-Clause" ]

null

# from core.urls import urlpatterns # __all__ = [ # 'urlpatterns', '' # ]

15.6

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1409f264cedad0a9fc04ae188014bde77a7b4afa

114

py

Python

api/views.py

CrysthelAparicio/Member-s-Co

8dbe37bc175546a126e476288c6d05d7fe65459e

[ "MIT" ]

null

api/views.py

CrysthelAparicio/Member-s-Co

8dbe37bc175546a126e476288c6d05d7fe65459e

[ "MIT" ]

7

2020-06-05T23:56:39.000Z

2021-09-22T18:59:51.000Z

api/views.py

CrysthelAparicio/Member-s-Co

8dbe37bc175546a126e476288c6d05d7fe65459e

[ "MIT" ]

null

from django.shortcuts import render #Create your views here def index(request): render(request,'index.html')

19

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141e9885169488f93478f83709041a51a6be6fac

184

py

Python

locale/pot/api/core/_autosummary/pyvista-Camera-focal_point-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

4

2020-08-07T08:19:19.000Z

2020-12-04T09:51:11.000Z

locale/pot/api/core/_autosummary/pyvista-Camera-focal_point-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

19

2020-08-06T00:24:30.000Z

2022-03-30T19:22:24.000Z

locale/pot/api/core/_autosummary/pyvista-Camera-focal_point-1.py

tkoyama010/pyvista-doc-translations

23bb813387b7f8bfe17e86c2244d5dd2243990db

[ "MIT" ]

1

2021-03-09T07:50:40.000Z

import pyvista pl = pyvista.Plotter() pl.camera.focal_point # Expected: ## (0.0, 0.0, 0.0) pl.camera.focal_point = (2.0, 0.0, 0.0) pl.camera.focal_point # Expected: ## (2.0, 0.0, 0.0)

18.4

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37

184

3.162162

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1

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null

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1437095909a750a9c391e2eeab2ecb54cf0458ec

29

py

Python

snippets/06 - Reshaping data42.py

joshuagottardogalvani/pandas-tutorial

8308a6eb7d144fff95a6853930e3be4e8ddb2e0f

[ "BSD-2-Clause" ]

183

2016-08-24T12:32:07.000Z

2022-03-26T14:05:04.000Z

snippets/06 - Reshaping data42.py

sugurushivakumar10/pandas-tutorial

8308a6eb7d144fff95a6853930e3be4e8ddb2e0f

[ "BSD-2-Clause" ]

1

2017-08-28T14:22:40.000Z

snippets/06 - Reshaping data42.py

sugurushivakumar10/pandas-tutorial

8308a6eb7d144fff95a6853930e3be4e8ddb2e0f

[ "BSD-2-Clause" ]

204

2016-08-24T14:22:58.000Z

2022-03-29T15:09:03.000Z

temp.reset_index(name='Fare')

29

0.793103

5

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4.4

1

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1

29

0.758621

0

0.133333

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

4

14373ac78dc975eb9c1d12381efe32d0f183d888

2,005

py

Python

server/save_iris.py

RaulRomani/Interactive-Data-Projection

a9c0864645598d0706b44c4c7331e4e8c173678d

[ "MIT" ]

1

2019-06-17T02:33:05.000Z

server/save_iris.py

RaulRomani/Interactive-Data-Projection

a9c0864645598d0706b44c4c7331e4e8c173678d

[ "MIT" ]

null

server/save_iris.py

RaulRomani/Interactive-Data-Projection

a9c0864645598d0706b44c4c7331e4e8c173678d

[ "MIT" ]

null

# from sklearn import datasets # import numpy as np # # import some data to play with # iris = datasets.load_iris() # X = iris.data # we only take the first two features. # y = iris.target # print(X.shape) # print(y.shape) # dataset_name = "Iris" # np.savetxt("../../datasets/" + dataset_name + '/' + dataset_name + "_prep_encoding2.csv", X, delimiter=",") # np.savetxt("../../datasets/" + dataset_name + '/' + dataset_name + "_labels.csv", np.reshape(y, (-1,1)), delimiter=",") import pandas as pd import numpy as np # # dataset_name = "GirondeEmployment" # # dataset_name = "GirondeServices" # dataset_name = "GirondeEnvironment" # # df = pd.read_csv("PCAMix/"+ dataset_name + '_projected_PCAMix.csv') # df = pd.read_csv("../../datasets/" + dataset_name + '/'+ dataset_name + '.csv') # # labels = pd.read_csv("../../datasets/" + dataset_name + '/'+ dataset_name + '_labels.csv', header=None).values.reshape((-1)) # # print(df.shape) # # print(df.head(1)) # # print(df.values[0,:]) # np.savetxt("../../datasets/" + dataset_name + '/' + dataset_name + "_prep_encoding2.csv", df.values, delimiter=",") dataset_name = "Iris" df = pd.read_csv("../../datasets/" + dataset_name + '/'+ dataset_name + '_prep_encoding2.csv', header=None) print(df.describe()) # dataset_name = "OrthopedicPatients" # df = pd.read_csv("../../datasets/" + dataset_name + '/'+ dataset_name + '.csv', header=None) # labels = pd.read_csv("../../datasets/" + dataset_name + '/'+ dataset_name + '_labels.csv', header=None).values.reshape((-1)) # df[6] = pd.Categorical(df[6]) # df[6] = df[6].cat.codes # # print(df.head) # # categorical_values = np.array(list(set(df.values[:,6]))) # # print(categorical_values) # # print(df.shape) # # print(df.head(2)) # # print(df.values[0,:]) # np.savetxt("../../datasets/" + dataset_name + '/' + dataset_name + "_prep_encoding2.csv", df.values[:,:6], delimiter=",") # np.savetxt("../../datasets/" + dataset_name + '/' + dataset_name + "_labels.csv", df.values[:,6], delimiter=",")

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146abe53668be2fa1acdc8da283361746d3e6745

713

py

Python

170_code_challenges/10_code_challenge.py

shadykhatab/python-tutorilas-

fe3e63d2d5e37c634f1d5549fcf7418937068fc4

[ "MIT" ]

null

170_code_challenges/10_code_challenge.py

shadykhatab/python-tutorilas-

fe3e63d2d5e37c634f1d5549fcf7418937068fc4

[ "MIT" ]

null

170_code_challenges/10_code_challenge.py

shadykhatab/python-tutorilas-

fe3e63d2d5e37c634f1d5549fcf7418937068fc4

[ "MIT" ]

null

""" Write a function that returns the lesser of two given numbers if both numbers are even, but returns the greater if one or both numbers are odd. Example 1: lesser_of_two_evens(2, 4) output: 2 explanation: the two parameters 2 and 4 are even numbers, therefore, we'll return the smallest even number Example 2: lesser_of_two_evens(2, 5) output: 5 explanation: the first parameter 2 is even, but the second parameter 5 is odd, therefore, we'll return the greatest number Example 3: lesser_of_two_evens(7, 5) output: 7 explanation: the two parameters are odd, therefore, we'll return the greatest number """ # write your code here # don't forget to test your code def lesser_of_two_evens(a, b): pass

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147028a10145906e69e7602e34de70fd01ed7147

9,101

py

Python

test/unittests/exception_test/test_xml.py

INCF/nineml-python

062a2ac8a9be97cee4dad02938e3858e051cf07c

[ "BSD-3-Clause" ]

6

2017-12-26T14:15:28.000Z

2021-10-10T22:45:51.000Z

test/unittests/exception_test/test_xml.py

INCF/nineml-python

062a2ac8a9be97cee4dad02938e3858e051cf07c

[ "BSD-3-Clause" ]

25

2017-07-05T03:53:53.000Z

2021-01-19T14:14:05.000Z

test/unittests/exception_test/test_xml.py

INCF/nineml-python

062a2ac8a9be97cee4dad02938e3858e051cf07c

[ "BSD-3-Clause" ]

5

2017-12-26T14:15:12.000Z

2021-10-10T22:45:39.000Z

import unittest from itertools import chain from nineml.utils.comprehensive_example import (doc1, dynPropA) from nineml.exceptions import ( NineMLXMLAttributeError, NineMLXMLBlockError, NineMLUsageError) from nineml.user import Projection, Population, Definition, DynamicsProperties from nineml.reference import Reference # # class TestExceptions(unittest.TestCase): # # def test_get_element_maker_ninemlruntimeerror(self): # """ # line #: 39 # message: Unrecognised 9ML version {} (1.0 # """ # self.assertRaises( # NineMLUsageError, # get_element_maker, # version=-1.0) # # def test_from_child_xml_ninemlxmlattributeerror(self): # """ # line #: 74 # message: {} in '{}' has '{}' attributes when {} are expected # """ # elem = Ev2(Projection.nineml_type, # Ev2.Pre(Ev2(Reference.nineml_type, # name="popA"), # bad_attr="bar")) # self.assertRaises( # NineMLXMLAttributeError, # from_child_xml, # element=elem, # child_classes=(Population,), # document=doc1, # multiple=False, # allow_reference=True, # allow_none=False, # within='Pre', # unprocessed=None, # multiple_within=False, # allowed_attrib=[]) # # def test_from_child_xml_ninemlxmlblockerror(self): # """ # line #: 82 # message: {} in '{}' is only expected to contain a single child block, # found {} # """ # elem = Ev2(Projection.nineml_type, # Ev2.Pre(Ev2(Reference.nineml_type, # name="popA"), # Ev2(Reference.nineml_type, # name="popA"))) # self.assertRaises( # NineMLXMLBlockError, # from_child_xml, # element=elem, # child_classes=(Population,), # document=doc1, # multiple=False, # allow_reference=True, # allow_none=False, # within='Pre', # unprocessed=None, # multiple_within=False, # allowed_attrib=[]) # # def test_from_child_xml_ninemlxmlblockerror2(self): # """ # line #: 93 # message: Did not find {} block within {} element in '{}' # """ # elem = Ev2(Projection.nineml_type) # self.assertRaises( # NineMLXMLBlockError, # from_child_xml, # element=elem, # child_classes=(Population,), # document=doc1, # multiple=False, # allow_reference=True, # allow_none=False, # within='Pre', # unprocessed=None, # multiple_within=False, # allowed_attrib=[]) # # def test_from_child_xml_ninemlxmlblockerror3(self): # """ # line #: 97 # message: Found unexpected multiple {} blocks within {} in '{}' # """ # elem = Ev2(Projection.nineml_type, # Ev2.Pre(Ev2(Reference.nineml_type, # name="popA")), # Ev2.Pre(Ev2(Reference.nineml_type, # name="popB"))) # self.assertRaises( # NineMLXMLBlockError, # from_child_xml, # element=elem, # child_classes=(Population,), # document=doc1, # multiple=False, # allow_reference=True, # allow_none=False, # within='Pre', # unprocessed=None, # multiple_within=False, # allowed_attrib=[]) # # def test_from_child_xml_ninemlxmlblockerror4(self): # """ # line #: 133 # message: Did not find any child blocks with the tag{s} # '{child_cls_names}'in the {parent_name} in '{url}' # """ # elem = Ev2(DynamicsProperties.nineml_type, # Ev2(Definition.nineml_type, # name="dynA"), # Ev2(Definition.nineml_type, # name="dynB")) # self.assertRaises( # NineMLXMLBlockError, # from_child_xml, # element=elem, # child_classes=(Definition,), # document=doc1, # multiple=False, # allow_reference=False, # allow_none=False, # within=None, # unprocessed=None, # multiple_within=False, # allowed_attrib=[]) # # def test_from_child_xml_ninemlxmlblockerror5(self): # """ # line #: 145 # message: Multiple children of types '{}' found within {} in '{}' # """ # elem = Ev2(DynamicsProperties.nineml_type) # self.assertRaises( # NineMLXMLBlockError, # from_child_xml, # element=elem, # child_classes=(Definition,), # document=doc1, # multiple=False, # allow_reference=False, # allow_none=False, # within=None, # unprocessed=None, # multiple_within=False, # allowed_attrib=[]) # # def test_get_xml_attr_ninemlxmlattributeerror(self): # """ # line #: 172 # message: {} in '{}' is missing the {} attribute (found '{}' attributes) # """ # elem = Ev2(DynamicsProperties.nineml_type) # self.assertRaises( # NineMLXMLAttributeError, # get_xml_attr, # element=elem, # name='name', # document=doc1) # # def test_get_xml_attr_ninemlxmlattributeerror2(self): # """ # line #: 183 # message: '{}' attribute of {} in '{}', {}, cannot be converted to {} # type # """ # elem = Ev2(DynamicsProperties.nineml_type, # name='foo') # self.assertRaises( # NineMLXMLAttributeError, # get_xml_attr, # element=elem, # name='name', # document=doc1, # dtype=int) # # def test_get_subblock_ninemlxmlblockerror(self): # """ # line #: 197 # message: Did not find and child blocks with the tag '{}' within {} in # '{url}' # """ # elem = Ev2(Population.nineml_type, # Ev2('ASubBlock')) # self.assertRaises( # NineMLXMLBlockError, # get_subblock, # element=elem, # name='AnotherSubBlock', # unprocessed=[[]], # document=doc1) # # def test_get_subblock_ninemlxmlblockerror2(self): # """ # line #: 202 # message: Found multiple child blocks with the tag '{}' within {} in # '{url}' # """ # elem = Ev2(Population.nineml_type, # Ev2('ASubBlock'), # Ev2('ASubBlock')) # self.assertRaises( # NineMLXMLBlockError, # get_subblock, # element=elem, # name='ASubBlock', # unprocessed=[[]], # document=doc1) # # def test_from_xml_with_exception_handling_ninemlxmlblockerror(self): # """ # line #: 267 # message: Found unrecognised block{s} '{remaining}' within {elem_name} # in '{url}' # """ # elem = Ev2(DynamicsProperties.nineml_type, # dynPropA.serialize(format='xml', version=1, document=doc1), # Ev2('BadBlock'), # *list(chain( # (p.serialize(format='xml', version=1, document=doc1) for p in dynPropA.properties), # (v.serialize(format='xml', version=1, document=doc1) for v in dynPropA.initial_values))), # name='dynPropA2') # self.assertRaises( # NineMLXMLBlockError, # DynamicsProperties.from_xml, # element=elem, # document=doc1) # # def test_from_xml_with_exception_handling_ninemlxmlattributeerror(self): # """ # line #: 274 # message: Found unrecognised attribute{s} '{remaining}' within # {elem_name} in '{url}' # """ # elem = Ev2(DynamicsProperties.nineml_type, # dynPropA.serialize(format='xml', version=1, document=doc1), # *list(chain( # (p.serialize(format='xml', version=1, document=doc1) for p in dynPropA.properties), # (v.serialize(format='xml', version=1, document=doc1) for v in dynPropA.initial_values))), # name='dynPropA2', # bad_attr='bad') # self.assertRaises( # NineMLXMLBlockError, # DynamicsProperties.from_xml, # element=elem, # document=doc1)

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0.185087

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null

0

1

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0

1

0

4

14739082da2de7c0bf096ea56efddb0626e58909

356

py

Python

src/GSPH/Limiters/SuperbeeLimiterInst.cc.py

jmikeowen/Spheral

3e1082a7aefd6b328bd3ae24ca1a477108cfc3c4

[ "BSD-Source-Code", "BSD-3-Clause-LBNL", "FSFAP" ]

22

2018-07-31T21:38:22.000Z

2020-06-29T08:58:33.000Z

src/GSPH/Limiters/SuperbeeLimiterInst.cc.py

jmikeowen/Spheral

3e1082a7aefd6b328bd3ae24ca1a477108cfc3c4

[ "BSD-Source-Code", "BSD-3-Clause-LBNL", "FSFAP" ]

41

2020-09-28T23:14:27.000Z

2022-03-28T17:01:33.000Z

src/GSPH/Limiters/SuperbeeLimiterInst.cc.py

jmikeowen/Spheral

3e1082a7aefd6b328bd3ae24ca1a477108cfc3c4

[ "BSD-Source-Code", "BSD-3-Clause-LBNL", "FSFAP" ]

7

2019-12-01T07:00:06.000Z

2020-09-15T21:12:39.000Z

text = """ //------------------------------------------------------------------------------ // Explicit instantiation. //------------------------------------------------------------------------------ #include "Geometry/Dimension.hh" #include "GSPH/Limiters/SuperbeeLimiter.cc" namespace Spheral { template class SuperbeeLimiter<Dim< %(ndim)s > >; } """

29.666667

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356

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null

0

1

0

1

null

0

4

14a2d43166de5c755f3008f82a43d99aac810cba

42,669

py

Python

tests/dcerpc/test_lsad.py

StanHardy/impacket

769c3196124af64d7bc08d51ae4b651e61a87037

[ "Apache-1.1" ]

8

2022-03-23T13:02:37.000Z

2022-03-27T04:30:16.000Z

tests/dcerpc/test_lsad.py

anno5750/impacket

ed7082cd0bc0d951f6eefb0a98c4c1360fe1a8a2

[ "Apache-1.1" ]

null

tests/dcerpc/test_lsad.py

anno5750/impacket

ed7082cd0bc0d951f6eefb0a98c4c1360fe1a8a2

[ "Apache-1.1" ]

null

# Impacket - Collection of Python classes for working with network protocols. # # SECUREAUTH LABS. Copyright (C) 2021 SecureAuth Corporation. All rights reserved. # # This software is provided under a slightly modified version # of the Apache Software License. See the accompanying LICENSE file # for more information. # # Tested so far: # hLsarOpenPolicy2 # (h)LsarOpenPolicy # (h)LsarQueryInformationPolicy2 # (h)LsarQueryInformationPolicy # (h)LsarQueryDomainInformationPolicy # (h)LsarEnumerateAccounts # (h)LsarEnumerateAccountsWithUserRight # (h)LsarEnumerateTrustedDomainsEx # (h)LsarEnumerateTrustedDomains # (h)LsarOpenAccount # (h)LsarClose # (h)LsarCreateAccount # (h)LsarCreateAccount # (h)LsarDeleteObject # (h)LsarEnumeratePrivilegesAccount # (h)LsarGetSystemAccessAccount # (h)LsarSetSystemAccessAccount # (h)LsarAddPrivilegesToAccount # (h)LsarRemovePrivilegesFromAccount # (h)LsarEnumerateAccountRights # (h)LsarAddAccountRights # (h)LsarRemoveAccountRights # (h)LsarCreateSecret # (h)LsarOpenSecret # (h)LsarSetSecret # (h)LsarQuerySecret # (h)LsarRetrievePrivateData # (h)LsarStorePrivateData # (h)LsarEnumeratePrivileges # (h)LsarLookupPrivilegeValue # (h)LsarLookupPrivilegeName # (h)LsarLookupPrivilegeDisplayName # (h)LsarQuerySecurityObject # (h)LsarSetSecurityObject # (h)LsarQueryForestTrustInformation # (h)LsarSetInformationPolicy # (h)LsarSetInformationPolicy2 # Not yet # LsarCreateTrustedDomain # LsarOpenTrustedDomain # LsarQueryInfoTrustedDomain # LsarSetInformationTrustedDomain # LsarQueryTrustedDomainInfo # LsarSetTrustedDomainInfo # LsarDeleteTrustedDomain # LsarQueryTrustedDomainInfoByName # LsarSetTrustedDomainInfoByName # LsarCreateTrustedDomainEx # LsarSetDomainInformationPolicy # LsarOpenTrustedDomainByName # LsarCreateTrustedDomainEx2 # LsarSetForestTrustInformation # from __future__ import division from __future__ import print_function import pytest import unittest from tests.dcerpc import DCERPCTests from impacket.dcerpc.v5 import lsad from impacket.dcerpc.v5.ndr import NULL from impacket.dcerpc.v5.dtypes import MAXIMUM_ALLOWED, RPC_UNICODE_STRING, DELETE from impacket.structure import hexdump class LSADTests(DCERPCTests): iface_uuid = lsad.MSRPC_UUID_LSAD string_binding = r"ncacn_np:{0.machine}[\PIPE\lsarpc]" authn = True def open_policy(self, dce): resp = lsad.hLsarOpenPolicy2(dce, MAXIMUM_ALLOWED | lsad.POLICY_CREATE_SECRET | DELETE | lsad.POLICY_VIEW_LOCAL_INFORMATION) return resp['PolicyHandle'] def test_LsarOpenPolicy(self): dce, rpctransport = self.connect() request = lsad.LsarOpenPolicy() request['SystemName'] = NULL request['ObjectAttributes']['RootDirectory'] = NULL request['ObjectAttributes']['ObjectName'] = NULL request['ObjectAttributes']['SecurityDescriptor'] = NULL request['ObjectAttributes']['SecurityQualityOfService'] = NULL request['DesiredAccess'] = MAXIMUM_ALLOWED resp = dce.request(request) resp.dump() def test_hLsarOpenPolicy(self): dce, rpctransport = self.connect() resp = lsad.hLsarOpenPolicy(dce) resp.dump() def test_LsarQueryInformationPolicy2(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarQueryInformationPolicy2() request['PolicyHandle'] = policyHandle request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyAuditLogInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyPrimaryDomainInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyPdAccountInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyAccountDomainInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyLsaServerRoleInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyReplicaSourceInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyDnsDomainInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyDnsDomainInformationInt resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyLocalAccountDomainInformation resp = dce.request(request) resp.dump() def test_hLsarQueryInformationPolicy2(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAuditLogInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyPrimaryDomainInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyPdAccountInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAccountDomainInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyLsaServerRoleInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyReplicaSourceInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyDnsDomainInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyDnsDomainInformationInt) resp.dump() resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyLocalAccountDomainInformation) resp.dump() def test_LsarQueryInformationPolicy(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarQueryInformationPolicy() request['PolicyHandle'] = policyHandle request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyAuditLogInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyPrimaryDomainInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyPdAccountInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyAccountDomainInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyLsaServerRoleInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyReplicaSourceInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyDnsDomainInformation resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyDnsDomainInformationInt resp = dce.request(request) resp.dump() request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyLocalAccountDomainInformation resp = dce.request(request) resp.dump() def test_hLsarQueryInformationPolicy(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp = lsad.hLsarQueryInformationPolicy(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAuditLogInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyPrimaryDomainInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyPdAccountInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAccountDomainInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyLsaServerRoleInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyReplicaSourceInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyDnsDomainInformation) resp.dump() resp = lsad.hLsarQueryInformationPolicy(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyDnsDomainInformationInt) resp.dump() resp = lsad.hLsarQueryInformationPolicy(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyLocalAccountDomainInformation) resp.dump() def test_LsarQueryDomainInformationPolicy(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarQueryDomainInformationPolicy() request['PolicyHandle'] = policyHandle request['InformationClass'] = lsad.POLICY_DOMAIN_INFORMATION_CLASS.PolicyDomainQualityOfServiceInformation try: resp = dce.request(request) resp.dump() except Exception as e: if str(e).find('STATUS_INVALID_PARAMETER') < 0: raise request['InformationClass'] = lsad.POLICY_DOMAIN_INFORMATION_CLASS.PolicyDomainEfsInformation try: resp = dce.request(request) resp.dump() except Exception as e: if str(e).find('STATUS_OBJECT_NAME_NOT_FOUND') < 0: raise request['InformationClass'] = lsad.POLICY_DOMAIN_INFORMATION_CLASS.PolicyDomainKerberosTicketInformation try: resp = dce.request(request) resp.dump() except Exception as e: if str(e).find('STATUS_OBJECT_NAME_NOT_FOUND') < 0: raise def test_hLsarQueryDomainInformationPolicy(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) try: resp = lsad.hLsarQueryDomainInformationPolicy(dce, policyHandle, lsad.POLICY_DOMAIN_INFORMATION_CLASS.PolicyDomainQualityOfServiceInformation) resp.dump() except Exception as e: if str(e).find('STATUS_INVALID_PARAMETER') < 0: raise try: resp = lsad.hLsarQueryDomainInformationPolicy(dce, policyHandle, lsad.POLICY_DOMAIN_INFORMATION_CLASS.PolicyDomainEfsInformation) resp.dump() except Exception as e: if str(e).find('STATUS_OBJECT_NAME_NOT_FOUND') < 0: raise try: resp = lsad.hLsarQueryDomainInformationPolicy(dce, policyHandle, lsad.POLICY_DOMAIN_INFORMATION_CLASS.PolicyDomainKerberosTicketInformation) resp.dump() except Exception as e: if str(e).find('STATUS_OBJECT_NAME_NOT_FOUND') < 0: raise def test_LsarEnumerateAccounts(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarEnumerateAccounts() request['PolicyHandle'] = policyHandle request['PreferedMaximumLength'] = 0xffffffff resp = dce.request(request) resp.dump() #for i in range(resp['EnumerationBuffer']['EntriesRead']): # print resp['EnumerationBuffer']['Information'][i]['Sid'].formatCanonical() def test_hLsarEnumerateAccounts(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp = lsad.hLsarEnumerateAccounts(dce, policyHandle) resp.dump() #for i in range(resp['EnumerationBuffer']['EntriesRead']): # print resp['EnumerationBuffer']['Information'][i]['Sid'].formatCanonical() def test_LsarEnumerateAccountsWithUserRight(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarEnumerateAccountsWithUserRight() request['PolicyHandle'] = policyHandle request['UserRight'] = 'SeSystemtimePrivilege' resp = dce.request(request) resp.dump() def test_hLsarEnumerateAccountsWithUserRight(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp = lsad.hLsarEnumerateAccountsWithUserRight(dce,policyHandle, 'SeSystemtimePrivilege') resp.dump() def test_LsarEnumerateTrustedDomainsEx(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarEnumerateTrustedDomainsEx() request['PolicyHandle'] = policyHandle request['EnumerationContext'] = 0 request['PreferedMaximumLength'] = 0xffffffff try: resp = dce.request(request) resp.dump() except Exception as e: if str(e).find('STATUS_NO_MORE_ENTRIES') < 0: raise def test_hLsarEnumerateTrustedDomainsEx(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) try: resp = lsad.hLsarEnumerateTrustedDomainsEx(dce, policyHandle) resp.dump() except Exception as e: if str(e).find('STATUS_NO_MORE_ENTRIES') < 0: raise def test_LsarEnumerateTrustedDomains(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarEnumerateTrustedDomains() request['PolicyHandle'] = policyHandle request['EnumerationContext'] = 0 request['PreferedMaximumLength'] = 0xffffffff try: resp = dce.request(request) resp.dump() except Exception as e: if str(e).find('STATUS_NO_MORE_ENTRIES') < 0: raise def test_hLsarEnumerateTrustedDomains(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) try: resp = lsad.hLsarEnumerateTrustedDomains(dce, policyHandle) resp.dump() except Exception as e: if str(e).find('STATUS_NO_MORE_ENTRIES') < 0: raise def test_hLsarOpenAccount(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp = lsad.hLsarEnumerateAccounts(dce, policyHandle) resp.dump() resp = lsad.hLsarOpenAccount(dce, policyHandle, resp['EnumerationBuffer']['Information'][0]['Sid'].formatCanonical()) resp.dump() resp = lsad.hLsarClose(dce, resp['AccountHandle']) resp.dump() def test_LsarOpenAccount(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarEnumerateAccounts() request['PolicyHandle'] = policyHandle request['PreferedMaximumLength'] = 0xffffffff resp = dce.request(request) resp.dump() request = lsad.LsarOpenAccount() request['PolicyHandle'] = policyHandle request['AccountSid'] = resp['EnumerationBuffer']['Information'][0]['Sid'] request['DesiredAccess'] = MAXIMUM_ALLOWED resp = dce.request(request) resp.dump() request = lsad.LsarClose() request['ObjectHandle'] = resp['AccountHandle'] resp = dce.request(request) resp.dump() def test_LsarCreateAccount_LsarDeleteObject(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarQueryInformationPolicy2() request['PolicyHandle'] = policyHandle request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyAccountDomainInformation resp = dce.request(request) sid = resp['PolicyInformation']['PolicyAccountDomainInfo']['DomainSid'].formatCanonical() sid = sid + '-9999' request = lsad.LsarCreateAccount() request['PolicyHandle'] = policyHandle request['AccountSid'].fromCanonical(sid) request['DesiredAccess'] = MAXIMUM_ALLOWED resp = dce.request(request) resp.dump() request = lsad.LsarDeleteObject() request['ObjectHandle'] = resp['AccountHandle'] resp = dce.request(request) resp.dump() def test_hLsarCreateAccount_hLsarDeleteObject(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle,lsad.POLICY_INFORMATION_CLASS.PolicyAccountDomainInformation) sid = resp['PolicyInformation']['PolicyAccountDomainInfo']['DomainSid'].formatCanonical() sid = sid + '-9999' resp = lsad.hLsarCreateAccount(dce, policyHandle, sid) resp.dump() resp = lsad.hLsarDeleteObject(dce,resp['AccountHandle']) resp.dump() def test_LsarEnumeratePrivilegesAccount(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) sid = 'S-1-5-32-544' request = lsad.LsarOpenAccount() request['PolicyHandle'] = policyHandle request['AccountSid'].fromCanonical(sid) request['DesiredAccess'] = MAXIMUM_ALLOWED resp = dce.request(request) resp.dump() request = lsad.LsarEnumeratePrivilegesAccount() request['AccountHandle'] = resp['AccountHandle'] resp = dce.request(request) resp.dump() def test_hLsarEnumeratePrivilegesAccount(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) sid = 'S-1-5-32-544' resp = lsad.hLsarOpenAccount(dce, policyHandle, sid) resp.dump() resp = lsad.hLsarEnumeratePrivilegesAccount(dce,resp['AccountHandle'] ) resp.dump() def test_LsarGetSystemAccessAccount_LsarSetSystemAccessAccount(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) sid = 'S-1-5-32-544' request = lsad.LsarOpenAccount() request['PolicyHandle'] = policyHandle request['AccountSid'].fromCanonical(sid) request['DesiredAccess'] = MAXIMUM_ALLOWED resp = dce.request(request) resp.dump() request = lsad.LsarGetSystemAccessAccount() request['AccountHandle'] = resp['AccountHandle'] resp2 = dce.request(request) resp.dump() request = lsad.LsarSetSystemAccessAccount() request['AccountHandle'] = resp['AccountHandle'] request['SystemAccess'] = resp2['SystemAccess'] resp = dce.request(request) resp.dump() def test_hLsarGetSystemAccessAccount_hLsarSetSystemAccessAccount(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) sid = 'S-1-5-32-544' resp = lsad.hLsarOpenAccount(dce, policyHandle, sid) resp.dump() resp2 = lsad.hLsarGetSystemAccessAccount(dce, resp['AccountHandle']) resp2.dump() resp = lsad.hLsarSetSystemAccessAccount(dce,resp['AccountHandle'],resp2['SystemAccess']) resp.dump() def test_LsarAddPrivilegesToAccount_LsarRemovePrivilegesFromAccount(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarQueryInformationPolicy2() request['PolicyHandle'] = policyHandle request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyAccountDomainInformation resp = dce.request(request) sid = resp['PolicyInformation']['PolicyAccountDomainInfo']['DomainSid'].formatCanonical() sid = sid + '-9999' request = lsad.LsarCreateAccount() request['PolicyHandle'] = policyHandle request['AccountSid'].fromCanonical(sid) request['DesiredAccess'] = MAXIMUM_ALLOWED | lsad.ACCOUNT_ADJUST_PRIVILEGES resp = dce.request(request) resp.dump() accountHandle = resp['AccountHandle'] request = lsad.LsarAddPrivilegesToAccount() request['AccountHandle'] = accountHandle request['Privileges']['PrivilegeCount'] = 1 request['Privileges']['Control'] = 0 attribute = lsad.LSAPR_LUID_AND_ATTRIBUTES() attribute['Luid']['LowPart'] = 0 attribute['Luid']['HighPart'] = 3 attribute['Attributes'] = 3 request['Privileges']['Privilege'].append(attribute) try: resp = dce.request(request) resp.dump() except Exception: request = lsad.LsarDeleteObject() request['ObjectHandle'] = accountHandle dce.request(request) return request = lsad.LsarRemovePrivilegesFromAccount() request['AccountHandle'] = accountHandle request['AllPrivileges'] = 1 request['Privileges'] = NULL resp = dce.request(request) resp.dump() request = lsad.LsarDeleteObject() request['ObjectHandle'] = accountHandle resp = dce.request(request) resp.dump() def test_hLsarAddPrivilegesToAccount_hLsarRemovePrivilegesFromAccount(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle,lsad.POLICY_INFORMATION_CLASS.PolicyAccountDomainInformation) sid = resp['PolicyInformation']['PolicyAccountDomainInfo']['DomainSid'].formatCanonical() sid = sid + '-9999' resp = lsad.hLsarCreateAccount(dce, policyHandle, sid) accountHandle = resp['AccountHandle'] attributes = list() attribute = lsad.LSAPR_LUID_AND_ATTRIBUTES() attribute['Luid']['LowPart'] = 0 attribute['Luid']['HighPart'] = 3 attribute['Attributes'] = 3 attributes.append(attribute) try: resp = lsad.hLsarAddPrivilegesToAccount(dce,accountHandle, attributes) resp.dump() except Exception: resp = lsad.hLsarDeleteObject(dce, accountHandle) return resp = lsad.hLsarRemovePrivilegesFromAccount(dce, accountHandle, NULL, 1) resp.dump() resp = lsad.hLsarDeleteObject(dce,accountHandle ) resp.dump() def test_LsarEnumerateAccountRights(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) sid = 'S-1-5-32-544' request = lsad.LsarEnumerateAccountRights() request['PolicyHandle'] = policyHandle request['AccountSid'].fromCanonical(sid) resp = dce.request(request) resp.dump() def test_hLsarEnumerateAccountRights(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) sid = 'S-1-5-32-544' resp = lsad.hLsarEnumerateAccountRights(dce, policyHandle, sid) resp.dump() def test_LsarAddAccountRights_LsarRemoveAccountRights(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) sid = 'S-1-5-32-504' request = lsad.LsarAddAccountRights() request['PolicyHandle'] = policyHandle request['AccountSid'].fromCanonical(sid) request['UserRights']['EntriesRead'] = 1 right = RPC_UNICODE_STRING() right['Data'] = 'SeChangeNotifyPrivilege' request['UserRights']['UserRights'].append(right) resp = dce.request(request) resp.dump() request = lsad.LsarRemoveAccountRights() request['PolicyHandle'] = policyHandle request['AccountSid'].fromCanonical(sid) request['UserRights']['EntriesRead'] = 1 right = RPC_UNICODE_STRING() right['Data'] = 'SeChangeNotifyPrivilege' request['UserRights']['UserRights'].append(right) resp = dce.request(request) resp.dump() def test_hLsarAddAccountRights_hLsarRemoveAccountRights(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) sid = 'S-1-5-32-504' resp = lsad.hLsarAddAccountRights(dce, policyHandle, sid, ('SeChangeNotifyPrivilege', )) resp.dump() resp = lsad.hLsarRemoveAccountRights(dce, policyHandle, sid, ('SeChangeNotifyPrivilege', )) resp.dump() def test_LsarCreateSecret_LsarOpenSecret(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarCreateSecret() request['PolicyHandle'] = policyHandle request['SecretName'] = 'MYSECRET' request['DesiredAccess'] = MAXIMUM_ALLOWED resp = dce.request(request) resp.dump() request = lsad.LsarOpenSecret() request['PolicyHandle'] = policyHandle request['SecretName'] = 'MYSECRET' request['DesiredAccess'] = MAXIMUM_ALLOWED resp0 = dce.request(request) resp0.dump() request = lsad.LsarSetSecret() request['SecretHandle'] = resp0['SecretHandle'] request['EncryptedCurrentValue']['Length'] = 16 request['EncryptedCurrentValue']['MaximumLength'] = 16 request['EncryptedCurrentValue']['Buffer'] = list('A'*16) request['EncryptedOldValue']['Length'] = 16 request['EncryptedOldValue']['MaximumLength'] = 16 request['EncryptedOldValue']['Buffer'] = list('A'*16) #request['EncryptedCurrentValue'] = NULL #request['EncryptedOldValue'] = NULL try: resp = dce.request(request) resp.dump() except Exception: pass request = lsad.LsarDeleteObject() request['ObjectHandle'] = resp0['SecretHandle'] resp = dce.request(request) resp.dump() def test_hLsarCreateSecret_hLsarOpenSecret(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp = lsad.hLsarCreateSecret(dce, policyHandle, 'MYSECRET') resp.dump() resp0 = lsad.hLsarOpenSecret(dce, policyHandle, 'MYSECRET') resp0.dump() try: resp = lsad.hLsarSetSecret(dce, resp0['SecretHandle'], 'A'*16, 'A'*16) resp.dump() except Exception: pass resp = lsad.hLsarDeleteObject(dce,resp0['SecretHandle']) resp.dump() def test_LsarQuerySecret(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarOpenSecret() request['PolicyHandle'] = policyHandle request['SecretName'] = 'DPAPI_SYSTEM' request['DesiredAccess'] = MAXIMUM_ALLOWED resp0 = dce.request(request) resp0.dump() request = lsad.LsarQuerySecret() request['SecretHandle'] = resp0['SecretHandle'] request['EncryptedCurrentValue']['Buffer'] = NULL request['EncryptedOldValue']['Buffer'] = NULL request['OldValueSetTime'] = NULL resp = dce.request(request) resp.dump() def test_hLsarQuerySecret(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp0 = lsad.hLsarOpenSecret(dce, policyHandle, 'DPAPI_SYSTEM') resp0.dump() resp = lsad.hLsarQuerySecret(dce, resp0['SecretHandle']) resp.dump() def test_LsarRetrievePrivateData_LsarStorePrivateData(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarRetrievePrivateData() request['PolicyHandle'] = policyHandle request['KeyName'] = 'DPAPI_SYSTEM' resp0 = dce.request(request) resp0.dump() request = lsad.LsarStorePrivateData() request['PolicyHandle'] = policyHandle request['KeyName'] = 'BETUS' request['EncryptedData'] = resp0['EncryptedData'] resp = dce.request(request) resp.dump() request = lsad.LsarStorePrivateData() request['PolicyHandle'] = policyHandle request['KeyName'] = 'BETUS' request['EncryptedData'] = NULL resp = dce.request(request) resp.dump() def test_hLsarRetrievePrivateData_hLsarStorePrivateData(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp0 = lsad.hLsarRetrievePrivateData(dce,policyHandle, 'DPAPI_SYSTEM') #hexdump(resp0) resp = lsad.hLsarStorePrivateData(dce, policyHandle, 'BETUS', resp0) resp.dump() resp = lsad.hLsarStorePrivateData(dce, policyHandle, 'BETUS', NULL) resp.dump() def test_LsarEnumeratePrivileges(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarEnumeratePrivileges() request['PolicyHandle'] = policyHandle request['EnumerationContext'] = 0 request['PreferedMaximumLength'] = 0xffffffff resp = dce.request(request) resp.dump() self.assertEqual(resp['EnumerationBuffer']['Entries'], len(resp['EnumerationBuffer']['Privileges'])) def test_hLsarEnumeratePrivileges(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp = lsad.hLsarEnumeratePrivileges(dce, policyHandle) resp.dump() self.assertEqual(resp['EnumerationBuffer']['Entries'], len(resp['EnumerationBuffer']['Privileges'])) def test_LsarLookupPrivilegeValue_LsarLookupPrivilegeName(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarLookupPrivilegeValue() request['PolicyHandle'] = policyHandle request['Name'] = 'SeTimeZonePrivilege' resp = dce.request(request) resp.dump() request = lsad.LsarLookupPrivilegeName() request['PolicyHandle'] = policyHandle request['Value'] = resp['Value'] resp = dce.request(request) resp.dump() self.assertEqual(resp['Name'], 'SeTimeZonePrivilege') def test_hLsarLookupPrivilegeValue_hLsarLookupPrivilegeName(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp = lsad.hLsarLookupPrivilegeValue(dce, policyHandle,'SeTimeZonePrivilege' ) resp.dump() resp = lsad.hLsarLookupPrivilegeName(dce, policyHandle, resp['Value']) resp.dump() self.assertEqual(resp['Name'], 'SeTimeZonePrivilege') def test_LsarLookupPrivilegeDisplayName(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarLookupPrivilegeDisplayName() request['PolicyHandle'] = policyHandle request['Name'] = 'SeTimeZonePrivilege' request['ClientLanguage'] = 1 request['ClientSystemDefaultLanguage'] = 1 resp = dce.request(request) resp.dump() def test_LsarQuerySecurityObject_LsarSetSecurityObject(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarQuerySecurityObject() request['PolicyHandle'] = policyHandle request['SecurityInformation'] = lsad.OWNER_SECURITY_INFORMATION resp = dce.request(request) resp.dump() self.assertEqual(resp['SecurityDescriptor']['Length'], len(resp['SecurityDescriptor']['SecurityDescriptor'])) request = lsad.LsarSetSecurityObject() request['PolicyHandle'] = policyHandle request['SecurityInformation'] = lsad.OWNER_SECURITY_INFORMATION request['SecurityDescriptor'] = resp['SecurityDescriptor'] resp = dce.request(request) resp.dump() def test_hLsarQuerySecurityObject_hLsarSetSecurityObject(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp = lsad.hLsarQuerySecurityObject(dce, policyHandle, lsad.OWNER_SECURITY_INFORMATION) hexdump(resp) resp = lsad.hLsarSetSecurityObject(dce, policyHandle, lsad.OWNER_SECURITY_INFORMATION,resp) resp.dump() def test_LsarQueryForestTrustInformation(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarQueryForestTrustInformation() request['PolicyHandle'] = policyHandle request['TrustedDomainName'] = 'CORE' request['HighestRecordType'] = lsad.LSA_FOREST_TRUST_RECORD_TYPE.ForestTrustTopLevelName try: resp = dce.request(request) resp.dump() except Exception as e: if str(e).find('STATUS_NO_SUCH_DOMAIN') < 0: raise def test_LsarSetInformationPolicy2(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarQueryInformationPolicy2() request['PolicyHandle'] = policyHandle request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation resp = dce.request(request) resp.dump() oldValue = resp['PolicyInformation']['PolicyAuditEventsInfo']['AuditingMode'] req = lsad.LsarSetInformationPolicy2() req['PolicyHandle'] = policyHandle req['InformationClass'] = request['InformationClass'] req['PolicyInformation'] = resp['PolicyInformation'] req['PolicyInformation']['PolicyAuditEventsInfo']['AuditingMode'] = 0 resp2 = dce.request(req) resp2.dump() resp = dce.request(request) resp.dump() req['PolicyInformation']['PolicyAuditEventsInfo']['AuditingMode'] = oldValue resp2 = dce.request(req) resp2.dump() ################################################################################ #request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyPrimaryDomainInformation #resp = dce.request(request) #resp.dump() #oldValue = resp['PolicyInformation']['PolicyPrimaryDomainInfo']['Name'] #req = lsad.LsarSetInformationPolicy2() #req['PolicyHandle'] = policyHandle #req['InformationClass'] = request['InformationClass'] #req['PolicyInformation'] = resp['PolicyInformation'] #req['PolicyInformation']['PolicyPrimaryDomainInfo']['Name'] = 'BETUS' #resp2 = dce.request(req) #resp2.dump() #resp = dce.request(request) #resp.dump() #self.assertEqual('BETUS', resp['PolicyInformation']['PolicyPrimaryDomainInfo']['Name']) #req['PolicyInformation']['PolicyPrimaryDomainInfo']['Name'] = oldValue #resp2 = dce.request(req) #resp2.dump() ################################################################################ #request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyAccountDomainInformation #resp = dce.request(request) #resp.dump() #oldValue = resp['PolicyInformation']['PolicyAccountDomainInfo']['DomainName'] #req = lsad.LsarSetInformationPolicy2() #req['PolicyHandle'] = policyHandle #req['InformationClass'] = request['InformationClass'] #req['PolicyInformation'] = resp['PolicyInformation'] #req['PolicyInformation']['PolicyAccountDomainInfo']['DomainName'] = 'BETUS' #resp2 = dce.request(req) #resp2.dump() #resp = dce.request(request) #resp.dump() #self.assertEqual('BETUS', resp['PolicyInformation']['PolicyAccountDomainInfo']['DomainName']) #req['PolicyInformation']['PolicyAccountDomainInfo']['DomainName'] = oldValue #resp2 = dce.request(req) #resp2.dump() ################################################################################ # ToDo rest of the Information Classes def test_hLsarSetInformationPolicy2(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation) resp.dump() oldValue = resp['PolicyInformation']['PolicyAuditEventsInfo']['AuditingMode'] resp['PolicyInformation']['PolicyAuditEventsInfo']['AuditingMode'] = 0 resp2 = lsad.hLsarSetInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation, resp['PolicyInformation'] ) resp2.dump() resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation) resp.dump() resp['PolicyInformation']['PolicyAuditEventsInfo']['AuditingMode'] = oldValue resp2 = lsad.hLsarSetInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation, resp['PolicyInformation'] ) resp2.dump() def test_LsarSetInformationPolicy(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) request = lsad.LsarQueryInformationPolicy() request['PolicyHandle'] = policyHandle request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation resp = dce.request(request) resp.dump() oldValue = resp['PolicyInformation']['PolicyAuditEventsInfo']['AuditingMode'] req = lsad.LsarSetInformationPolicy() req['PolicyHandle'] = policyHandle req['InformationClass'] = request['InformationClass'] req['PolicyInformation'] = resp['PolicyInformation'] req['PolicyInformation']['PolicyAuditEventsInfo']['AuditingMode'] = 0 resp2 = dce.request(req) resp2.dump() resp = dce.request(request) resp.dump() req['PolicyInformation']['PolicyAuditEventsInfo']['AuditingMode'] = oldValue resp2 = dce.request(req) resp2.dump() ################################################################################ #request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyPrimaryDomainInformation #resp = dce.request(request) #resp.dump() #oldValue = resp['PolicyInformation']['PolicyPrimaryDomainInfo']['Name'] #req = lsad.LsarSetInformationPolicy() #req['PolicyHandle'] = policyHandle #req['InformationClass'] = request['InformationClass'] #req['PolicyInformation'] = resp['PolicyInformation'] #req['PolicyInformation']['PolicyPrimaryDomainInfo']['Name'] = 'BETUS' #resp2 = dce.request(req) #resp2.dump() #resp = dce.request(request) #resp.dump() #self.assertEqual('BETUS', resp['PolicyInformation']['PolicyPrimaryDomainInfo']['Name']) #req['PolicyInformation']['PolicyPrimaryDomainInfo']['Name'] = oldValue #resp2 = dce.request(req) #resp2.dump() ################################################################################ #request['InformationClass'] = lsad.POLICY_INFORMATION_CLASS.PolicyAccountDomainInformation #resp = dce.request(request) #resp.dump() #oldValue = resp['PolicyInformation']['PolicyAccountDomainInfo']['DomainName'] #req = lsad.LsarSetInformationPolicy() #req['PolicyHandle'] = policyHandle #req['InformationClass'] = request['InformationClass'] #req['PolicyInformation'] = resp['PolicyInformation'] #req['PolicyInformation']['PolicyAccountDomainInfo']['DomainName'] = 'BETUS' #resp2 = dce.request(req) #resp2.dump() #resp = dce.request(request) #resp.dump() #self.assertEqual('BETUS', resp['PolicyInformation']['PolicyAccountDomainInfo']['DomainName']) #req['PolicyInformation']['PolicyAccountDomainInfo']['DomainName'] = oldValue #resp2 = dce.request(req) #resp2.dump() ################################################################################ # ToDo rest of the Information Classes def test_hLsarSetInformationPolicy(self): dce, rpctransport = self.connect() policyHandle = self.open_policy(dce) resp = lsad.hLsarQueryInformationPolicy(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation) resp.dump() oldValue = resp['PolicyInformation']['PolicyAuditEventsInfo']['AuditingMode'] resp['PolicyInformation']['PolicyAuditEventsInfo']['AuditingMode'] = 0 resp2 = lsad.hLsarSetInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation, resp['PolicyInformation'] ) resp2.dump() resp = lsad.hLsarQueryInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation) resp.dump() resp['PolicyInformation']['PolicyAuditEventsInfo']['AuditingMode'] = oldValue resp2 = lsad.hLsarSetInformationPolicy2(dce, policyHandle, lsad.POLICY_INFORMATION_CLASS.PolicyAuditEventsInformation, resp['PolicyInformation'] ) resp2.dump() @pytest.mark.remote class LSADTestsSMBTransport(LSADTests, unittest.TestCase): transfer_syntax = DCERPCTests.TRANSFER_SYNTAX_NDR @pytest.mark.remote class LSADTestsSMBTransport64(LSADTests, unittest.TestCase): transfer_syntax = DCERPCTests.TRANSFER_SYNTAX_NDR64 # Process command-line arguments. if __name__ == "__main__": unittest.main(verbosity=1)

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Python

colossalai/nn/layer/vanilla/__init__.py

jiangz17THU/ColossalAI

354b7954d1fa6b21a5ba566f0d5ec099280ad315

[ "Apache-2.0" ]

null

colossalai/nn/layer/vanilla/__init__.py

jiangz17THU/ColossalAI

354b7954d1fa6b21a5ba566f0d5ec099280ad315

[ "Apache-2.0" ]

null

colossalai/nn/layer/vanilla/__init__.py

jiangz17THU/ColossalAI

354b7954d1fa6b21a5ba566f0d5ec099280ad315

[ "Apache-2.0" ]

1

2022-01-06T17:16:32.000Z

from .layers import DropPath, VanillaClassifier, VanillaPatchEmbedding, \ WrappedDropout, WrappedDropPath __all__ = ['VanillaPatchEmbedding', 'VanillaClassifier', 'DropPath', 'WrappedDropout', 'WrappedDropPath']

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1aefa2b7c746f8cb2499bcdf5a7a9f97fe844d59

204

py

Python

spacy/tokens/__init__.py

g4brielvs/spaCy

cca8651fc8133172ebaa9d9fc438ed1fbf34fb33

[ "BSD-3-Clause", "MIT" ]

null

spacy/tokens/__init__.py

g4brielvs/spaCy

cca8651fc8133172ebaa9d9fc438ed1fbf34fb33

[ "BSD-3-Clause", "MIT" ]

null

spacy/tokens/__init__.py

g4brielvs/spaCy

cca8651fc8133172ebaa9d9fc438ed1fbf34fb33

[ "BSD-3-Clause", "MIT" ]

1

2021-06-21T07:17:48.000Z

from .doc import Doc from .token import Token from .span import Span from ._serialize import DocBin from .morphanalysis import MorphAnalysis __all__ = ["Doc", "Token", "Span", "DocBin", "MorphAnalysis"]

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Python

bob/bio/base/test/dummy/config.py

bioidiap/bob.bio.base

44b8d192e957eb328591c8110cf0113f602292ef

[ "BSD-3-Clause" ]

16

2016-04-06T20:37:55.000Z

2019-10-19T08:06:25.000Z

bob/bio/base/test/dummy/config.py

bioidiap/bob.bio.base

44b8d192e957eb328591c8110cf0113f602292ef

[ "BSD-3-Clause" ]

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2015-07-04T17:41:40.000Z

2016-08-08T20:36:01.000Z

bob/bio/base/test/dummy/config.py

bioidiap/bob.bio.base

44b8d192e957eb328591c8110cf0113f602292ef

[ "BSD-3-Clause" ]

7

2015-08-07T17:21:02.000Z

2018-08-13T15:51:54.000Z

from bob.bio.base.test.dummy.database import database from bob.bio.base.test.dummy.preprocessor import preprocessor from bob.bio.base.test.dummy.extractor import extractor from bob.bio.base.test.dummy.algorithm import algorithm zt_norm = True verbose = 1 sub_directory = "test_dummy"

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py

Python

tests/__init__.py

hactar-is/wagtail_app_pages

c2147f339b016fd62755a7a6cc8f4ad9b4a4cf84

[ "MIT" ]

27

2018-03-28T18:19:10.000Z

2021-07-28T18:40:33.000Z

tests/__init__.py

hactar-is/wagtail_app_pages

c2147f339b016fd62755a7a6cc8f4ad9b4a4cf84

[ "MIT" ]

16

2018-05-29T01:12:59.000Z

2022-02-10T09:31:06.000Z

tests/__init__.py

hactar-is/wagtail_app_pages

c2147f339b016fd62755a7a6cc8f4ad9b4a4cf84

[ "MIT" ]

9

2018-10-16T10:53:13.000Z

2022-02-18T11:26:05.000Z

# -*- coding: utf-8 -*- """Unit test package for wagtail_app_pages."""

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py

Python

python_selenium_framework/base/base_test.py

Cervidae90/selenium_python

5a59bb7e71d82f519c5f0b75a8fa678a3f5d055e

[ "MIT" ]

null

python_selenium_framework/base/base_test.py

Cervidae90/selenium_python

5a59bb7e71d82f519c5f0b75a8fa678a3f5d055e

[ "MIT" ]

1

2021-06-02T00:26:22.000Z

python_selenium_framework/base/base_test.py

Cervidae90/selenium_python

5a59bb7e71d82f519c5f0b75a8fa678a3f5d055e

[ "MIT" ]

1

2020-01-21T14:05:50.000Z

from managers.page_manager import PageManager class BaseTest: pages: PageManager = None def init(self, driver): self.pages = PageManager(driver)

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2113672feab10a167a22d9f1646fbc914182b7eb

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py

Python

dto/file_shuffling_config.py

MolecularAI/Lib-INVENT-dataset

d42a4d32aa645831c0c052b2d3515144cd329b83

[ "Apache-2.0" ]

9

2021-06-24T14:52:09.000Z

2022-03-10T06:41:11.000Z

dto/file_shuffling_config.py

MolecularAI/Lib-INVENT-dataset

d42a4d32aa645831c0c052b2d3515144cd329b83

[ "Apache-2.0" ]

null

dto/file_shuffling_config.py

MolecularAI/Lib-INVENT-dataset

d42a4d32aa645831c0c052b2d3515144cd329b83

[ "Apache-2.0" ]

4

2021-06-24T14:52:11.000Z

2022-02-23T10:52:45.000Z

from dataclasses import dataclass @dataclass class FileShufflingConfig: directory: str n_permutations: int = 1 save_permutations: bool = False

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2126e1fbd2ebab4a5d0dd6fcca8c02d263813a3f

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py

Python

config/development.py

Aneureka/njuapi

f45f703e20451f12d0900c5c38b93cdd6e9b672c

[ "MIT" ]

6

2017-09-16T13:50:28.000Z

2019-10-24T03:06:49.000Z

config/development.py

Aneureka/njuapi

f45f703e20451f12d0900c5c38b93cdd6e9b672c

[ "MIT" ]

null

config/development.py

Aneureka/njuapi

f45f703e20451f12d0900c5c38b93cdd6e9b672c

[ "MIT" ]

1

2017-09-16T13:58:35.000Z

DEBUG = True

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212c8f0f2435aa5c55fb0865162c5acebddce40b

145

py

Python

segnlp/resources/stopwords.py

AxlAlm/SegNLP

89b8d077952397dfcea089376b373b117bcf6a65

[ "Apache-2.0" ]

1

2021-01-21T17:16:55.000Z

segnlp/resources/stopwords.py

AxlAlm/SegNLP

89b8d077952397dfcea089376b373b117bcf6a65

[ "Apache-2.0" ]

2

2021-01-24T20:07:54.000Z

2021-01-26T16:59:28.000Z

segnlp/resources/stopwords.py

AxlAlm/SegNLP

89b8d077952397dfcea089376b373b117bcf6a65

[ "Apache-2.0" ]

1

2021-01-21T17:16:57.000Z

import string from nltk.corpus import stopwords as nltk_stopwords stopwords = set(nltk_stopwords.words('english')) | set(string.punctuation)

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dcda371b61e1365f4cecab57449e9c5f369438d5

107

py

Python

Chapter07/pass_by_ref_vs_value2.py

kaushalkumarshah/Learn-Python-in-7-Days

2663656767c8959ace836f0c0e272f3e501bbe6e

[ "MIT" ]

12

2018-07-09T16:20:31.000Z

2022-03-21T22:52:15.000Z

Chapter07/pass_by_ref_vs_value2.py

kaushalkumarshah/Learn-Python-in-7-Days

2663656767c8959ace836f0c0e272f3e501bbe6e

[ "MIT" ]

null

Chapter07/pass_by_ref_vs_value2.py

kaushalkumarshah/Learn-Python-in-7-Days

2663656767c8959ace836f0c0e272f3e501bbe6e

[ "MIT" ]

19

2018-01-09T12:49:06.000Z

2021-11-23T08:05:55.000Z

def func(a): a=a+4 print "Inside the function", a a= 10 func(a) print "Outside the function", a

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1

0

null

0

1

0

4

dce275e18bd4651391d68776db1030ffc82f3191

398

py

Python

ietf/redirects/admin.py

hassanakbar4/ietfdb

cabee059092ae776015410640226064331c293b7

[ "BSD-3-Clause" ]

25

2022-03-05T08:26:52.000Z

2022-03-30T15:45:42.000Z

ietf/redirects/admin.py

hassanakbar4/ietfdb

cabee059092ae776015410640226064331c293b7

[ "BSD-3-Clause" ]

219

2022-03-04T17:29:12.000Z

2022-03-31T21:16:14.000Z

ietf/redirects/admin.py

hassanakbar4/ietfdb

cabee059092ae776015410640226064331c293b7

[ "BSD-3-Clause" ]

22

2022-03-04T15:34:34.000Z

2022-03-28T13:30:59.000Z

#coding: utf-8 from django.contrib import admin from ietf.redirects.models import Command, Redirect, Suffix class CommandAdmin(admin.ModelAdmin): pass admin.site.register(Command, CommandAdmin) class RedirectAdmin(admin.ModelAdmin): pass admin.site.register(Redirect, RedirectAdmin) class SuffixAdmin(admin.ModelAdmin): pass admin.site.register(Suffix, SuffixAdmin)

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dcf127450fec3393b641c25626e8a657c903e549

173

py

Python

HackerRank Solutions/Python/Numpy/Dot and Cross.py

DevashishPathrabe/Competetive-Coding

91049459359854b7834cbfb31415682600dc9c57

[ "MIT" ]

null

HackerRank Solutions/Python/Numpy/Dot and Cross.py

DevashishPathrabe/Competetive-Coding

91049459359854b7834cbfb31415682600dc9c57

[ "MIT" ]

null

HackerRank Solutions/Python/Numpy/Dot and Cross.py

DevashishPathrabe/Competetive-Coding

91049459359854b7834cbfb31415682600dc9c57

[ "MIT" ]

null

import numpy N = int(input()) A = numpy.array([(input().split()) for i in range(N)], int) B = numpy.array([(input().split()) for i in range(N)], int) print (numpy.dot(A, B))

34.6

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173

3.34375

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0.373832

0.654206

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0.132948

173

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60

34.6

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1

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1

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null

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4

dcf5933db90340f53aeb789f3c669b71c1ac2e3e

234

py

Python

cli.py

thombashi/sqlitebiter

fbed3e367b4f0f55edcd4d818c73abae55c34614

[ "MIT" ]

728

2016-05-05T05:07:28.000Z

2022-03-28T17:54:20.000Z

cli.py

thombashi/sqlitebiter

fbed3e367b4f0f55edcd4d818c73abae55c34614

[ "MIT" ]

55

2016-06-14T04:00:49.000Z

2022-03-27T15:07:40.000Z

cli.py

thombashi/sqlitebiter

fbed3e367b4f0f55edcd4d818c73abae55c34614

[ "MIT" ]

59

2016-05-05T13:23:23.000Z

2022-03-15T10:23:10.000Z

#!/usr/bin/env python3 """ .. codeauthor:: Tsuyoshi Hombashi <tsuyoshi.hombashi@gmail.com> """ import multiprocessing from sqlitebiter.__main__ import cmd if __name__ == "__main__": multiprocessing.freeze_support() cmd()

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14

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null

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1

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4

0d3b2932afe73a8d224ebc10c9e63799e9a7b67b

80

py

Python

combinato-windows/css-signalviewer.py

marijeterwal/combinato

4ccac676279c1e0bc679d25529849e85323c36df

[ "MIT" ]

null

combinato-windows/css-signalviewer.py

marijeterwal/combinato

4ccac676279c1e0bc679d25529849e85323c36df

[ "MIT" ]

null

combinato-windows/css-signalviewer.py

marijeterwal/combinato

4ccac676279c1e0bc679d25529849e85323c36df

[ "MIT" ]

null

#!/usr/bin/env python from signalviewer.viewer_files.viewer import main main()

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0.861111

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null

0

1

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1

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4

b49375287915e347cde42daf35930e9ce2cab021

397

py

Python

other/cf17_final_a.py

ryosuke0825/atcoder_python

185cdbe7db44ecca1aaf357858d16d31ce515ddb

[ "MIT" ]

null

other/cf17_final_a.py

ryosuke0825/atcoder_python

185cdbe7db44ecca1aaf357858d16d31ce515ddb

[ "MIT" ]

null

other/cf17_final_a.py

ryosuke0825/atcoder_python

185cdbe7db44ecca1aaf357858d16d31ce515ddb

[ "MIT" ]

null

s = input() if s[0:3] == 'KIH': s = 'A'+s elif s[0:4] != 'AKIH': print('NO') exit(0) if s[4:5] == 'B': s = s[0:4]+'A'+s[4:] elif s[4:6] != 'AB': print('NO') exit(0) if s[5:7] == 'BR': s = s[0:6]+'A'+s[6:] elif s[5:7] != 'BA': print('NO') exit(0) if (s[7:9] == 'RA' and len(s) == 9) or (s[7:8] == 'R' and len(s) == 8): print('YES') else: print('NO')

15.88

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397

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24

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b4938a1f7c89040e0d1ed737f54d344661b00ffd

254

py

Python

15_CustomLib_04/Library/CustomLib_04_01.py

eleven2017/robotframework-common-example

fd1c0376a88fe3383fbf807c3a2db079b3a9adac

[ "MIT" ]

null

15_CustomLib_04/Library/CustomLib_04_01.py

eleven2017/robotframework-common-example

fd1c0376a88fe3383fbf807c3a2db079b3a9adac

[ "MIT" ]

null

15_CustomLib_04/Library/CustomLib_04_01.py

eleven2017/robotframework-common-example

fd1c0376a88fe3383fbf807c3a2db079b3a9adac

[ "MIT" ]

null

class CustomLib_04_01: def my_keyword(self): print "My Custome Lib 1 My Keyword" # In class, all methods with underscore is not considered as keyword def _my_private_keyword(self): print "My Custome Lib 1 My Private Keyword"

31.75

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254

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b4947c673499773f8dd7f4512f53d89dc08e4fc9

2,099

py

Python

cpdb/data/migrations/0105_change_allegation_to_fk.py

invinst/CPDBv2_backend

b4e96d620ff7a437500f525f7e911651e4a18ef9

[ "Apache-2.0" ]

25

2018-07-20T22:31:40.000Z

2021-07-15T16:58:41.000Z

cpdb/data/migrations/0105_change_allegation_to_fk.py

invinst/CPDBv2_backend

b4e96d620ff7a437500f525f7e911651e4a18ef9

[ "Apache-2.0" ]

13

2018-06-18T23:08:47.000Z

2022-02-10T07:38:25.000Z

cpdb/data/migrations/0105_change_allegation_to_fk.py

invinst/CPDBv2_backend

b4e96d620ff7a437500f525f7e911651e4a18ef9

[ "Apache-2.0" ]

6

2018-05-17T21:59:43.000Z

2020-11-17T00:30:26.000Z

# Generated by Django 2.1.3 on 2019-01-08 03:47 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('data', '0104_make_crid_foreign_key'), ] operations = [ migrations.AlterField( model_name='attachmentfile', name='allegation', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='attachment_files', to='data.Allegation'), ), migrations.AlterField( model_name='attachmentrequest', name='allegation', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data.Allegation'), ), migrations.AlterField( model_name='complainant', name='allegation', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='data.Allegation'), ), migrations.AlterField( model_name='investigatorallegation', name='allegation', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data.Allegation'), ), migrations.AlterField( model_name='involvement', name='allegation', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='data.Allegation'), ), migrations.AlterField( model_name='officerallegation', name='allegation', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='data.Allegation'), ), migrations.AlterField( model_name='policewitness', name='allegation', field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='data.Allegation'), ), migrations.AlterField( model_name='victim', name='allegation', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='victims', to='data.Allegation'), ), ]

38.163636

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1

0

1

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null

0

4

b496ec1d0c8cf711439882e3d59925392a18d84e

175

py

Python

news/__main__.py

ChaseKnowlden/vscode-jupyter

9bdaf87f0b6dcd717c508e9023350499a6093f97

[ "MIT" ]

2,461

2016-01-21T16:40:43.000Z

2022-03-31T12:01:55.000Z

news/__main__.py

ChaseKnowlden/vscode-jupyter

9bdaf87f0b6dcd717c508e9023350499a6093f97

[ "MIT" ]

12,536

2019-05-06T21:26:14.000Z

2022-03-31T23:06:48.000Z

news/__main__.py

vasili8m/vscode-python

846eee870e8b7bab38172600836faedb5fb80166

[ "MIT" ]

871

2019-05-15T13:43:55.000Z

2022-03-31T03:04:35.000Z

25

65

0.777143

24

175

5.375

0.916667

0

0.12

175

6

66

29.166667

0.837662

0.508571

0

0.192771

0

1

0

true

0

0.5

0

0.5

0

1

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null

0

1

0

null

0

1

0

1

0

4

b499efd036573c2aa5e1ba83249574847ddd41a9

503

py

Python

sqlalchemy_geonames/__init__.py

dionysio/sqlalchemy-geonames

0d2542cf53512b14415319f23ad53dc4994691a8

[ "BSD-2-Clause-FreeBSD" ]

17

2015-02-24T20:20:49.000Z

2021-07-21T02:32:15.000Z

sqlalchemy_geonames/__init__.py

dionysio/sqlalchemy-geonames

0d2542cf53512b14415319f23ad53dc4994691a8

[ "BSD-2-Clause-FreeBSD" ]

2

2016-11-13T17:00:26.000Z

2020-05-28T13:12:07.000Z

sqlalchemy_geonames/__init__.py

dionysio/sqlalchemy-geonames

0d2542cf53512b14415319f23ad53dc4994691a8

[ "BSD-2-Clause-FreeBSD" ]

6

2015-03-28T12:23:50.000Z

2020-05-28T08:41:50.000Z

from .metadata import __version_info__, __version__ # noqa from .models import (GeonameBase, GeonameMetadata, GeonameFeature, # noqa GeonameTimezone, GeonameCountry, Geoname) from .reader import (GeonameReader, GeonameFeatureReader, # noqa GeonameTimezoneReader, GeonameCountryInfoReader, GeonameHierarchyReader, GeonameAlternateNamesReader) from .imports import get_importer_instances # noqa from .files import filename_config # noqa

55.888889

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1

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true

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b4dd7844ed1606391aad34eb9d2a0ceafa7b50f7

892

py

Python

feature_extractor/utils.py

intelligent-control-lab/Autoenv

8d7697421ca14e317ea7de24b6acb694ecae5148

[ "MIT" ]

4

2019-09-25T21:11:20.000Z

2020-07-30T03:46:26.000Z

feature_extractor/utils.py

intelligent-control-lab/Autoenv

8d7697421ca14e317ea7de24b6acb694ecae5148

[ "MIT" ]

null

feature_extractor/utils.py

intelligent-control-lab/Autoenv

8d7697421ca14e317ea7de24b6acb694ecae5148

[ "MIT" ]

1

2019-12-21T19:39:20.000Z

from feature_extractor.CarLidarFeatureExtractor import CarLidarFeatureExtractor from feature_extractor.CoreFeatureExtractor import CoreFeatureExtractor from feature_extractor.ForeForeFeatureExtractor import ForeForeFeatureExtractor from feature_extractor.TemporalFeatureExtractor import TemporalFeatureExtractor from feature_extractor.WellBehavedFeatureExtractor import WellBehavedFeatureExtractor from feature_extractor.feature_extractor import MultiFeatureExtractor from feature_extractor import FeatureState def build_feature_extractor(params={}): subexts = list() subexts.append(CoreFeatureExtractor()) subexts.append(TemporalFeatureExtractor()) subexts.append(WellBehavedFeatureExtractor()) subexts.append(CarLidarFeatureExtractor(20, carlidar_max_range=50.)) subexts.append(ForeForeFeatureExtractor()) ext = MultiFeatureExtractor(subexts) return ext

42.47619

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0

0.004926

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0

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false

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0

0.5625

0

1

null

0

1

0

null

0

1

0

1

0

4

b4ec3b90472feb5ce1dd9d71084d6a94be0799ef

1,117

py

Python

Python/OOP/oop.py

abefrandsen/numerical_computing

90559f7c4f387885eb44ea7b1fa19bb602f496cb

[ "CC-BY-3.0" ]

10

2016-10-18T19:54:25.000Z

2021-10-09T20:12:38.000Z

Python/OOP/oop.py

abefrandsen/numerical_computing

90559f7c4f387885eb44ea7b1fa19bb602f496cb

[ "CC-BY-3.0" ]

null

Python/OOP/oop.py

abefrandsen/numerical_computing

90559f7c4f387885eb44ea7b1fa19bb602f496cb

[ "CC-BY-3.0" ]

2

2017-05-14T16:07:59.000Z

2020-06-20T09:05:06.000Z

class ComplexNumber(object): def __init__(self, real, imag): self.real = real self.imag = imag def __add__(self, other): return ComplexNumber(self.real+other.real, self.imag+other.imag) def __sub__(self, other): return ComplexNumber(self.real-other.real, self.imag-other.imag) def __mul__(self, other): r = self.real*other.real-(self.imag*other.imag) i = self.real*other.imag+self.imag*other.real return ComplexNumber(r, i) def __div__(self, other): conj = other.conjugate() numer = self*conj denom = float((other*conj).real) return ComplexNumber(numer.real/denom, numer.imag/denom) def conjugate(self): return ComplexNumber(self.real, -self.imag) def __repr__(self): return "{}{:+}i".format(self.real, self.imag) def norm(self): return ComplexNumber((self.real**2+self.imag**2)**.5, 0) def __eq__(self, other): return self.real == other.real and self.imag == other.imag def dist(self, other): return self.norm() - other.norm()

30.189189

72

0.617726

146

1,117

4.534247

0.205479

0.120846

0.108761

0.163142

0.416918

0.247734

0.196375

0

0.004739

0.244405

1,117

37

73

30.189189

0.779621

0

0.006261

0

1

0.37037

false

0

0.259259

0.740741

0

null

0

1

0

null

0

1

0

1

0

4

3706382474ccdfe408d2c0d65b7a29a14c49389a

18

py

Python

data/studio21_generated/introductory/3320/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3320/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3320/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def oracle(arr):

9

16

0.666667

3

18

4

1

0

0.166667

18

2

17

9

0.8

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

3723f470a1ceaf44ef6e58c957237f097d67d311

50

py

Python

wsgi.py

delosrogers/clustergrammer-web

14102cfca328214d3bc8285e8331663fe0e5fad4

[ "MIT" ]

5

2018-04-04T16:25:06.000Z

2021-04-10T23:47:20.000Z

wsgi.py

delosrogers/clustergrammer-web

14102cfca328214d3bc8285e8331663fe0e5fad4

[ "MIT" ]

8

2016-07-16T02:55:12.000Z

2022-02-02T16:42:17.000Z

wsgi.py

delosrogers/clustergrammer-web

14102cfca328214d3bc8285e8331663fe0e5fad4

[ "MIT" ]

4

2019-05-28T08:52:41.000Z

2021-01-11T22:14:48.000Z

from clustergrammer.app import app as application

25

49

0.86

7

50

6.142857

0.857143

0

0.12

50

1

50

0.977273

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

2ea2932e2f6847f5546d3736772999ba8557bb88

27

py

Python

data/studio21_generated/introductory/3234/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3234/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3234/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def select_subarray(arr):

13.5

25

0.777778

4

27

5

1

0

0.111111

27

2

26

13.5

0.833333

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

2eac5852dd84681220c6899b9e6acc73ac79b2a1

359

py

Python

app/db/__init__.py

lukecyx/fastlms

01ccc126f8067434698ea53f6274a23d69fc0120

[ "MIT" ]

null

app/db/__init__.py

lukecyx/fastlms

01ccc126f8067434698ea53f6274a23d69fc0120

[ "MIT" ]

null

app/db/__init__.py

lukecyx/fastlms

01ccc126f8067434698ea53f6274a23d69fc0120

[ "MIT" ]

null

from app.db.db import AsyncMongoManager from app.config.settings import get_db_settings db_settings = get_db_settings() db = AsyncMongoManager(db_settings) async def get_db() -> AsyncMongoManager: return db # db_name = get_db_settings().DB_NAME # client = AsyncIOMotorClient(get_db_settings().MONGO_DETAILS) # db = client.get_database(name=db_name)

22.4375

62

0.788301

51

359

5.235294

0.333333

0.224719

0.194757

0.168539

0

0.119777

359

15

63

23.933333

0.844937

0.376045

0

1

0

false

0

0.333333

0

0.5

0

null

1

0

null

0

1

0

4

2ebdc64c33ca0a4657d5c00c8071f051d329f2ef

328

py

Python

game_over.py

Steven-Wilson/pyweek25

1547919a17973d0b13ed630bdb1d7285f07f2a5e

[ "MIT" ]

null

game_over.py

Steven-Wilson/pyweek25

1547919a17973d0b13ed630bdb1d7285f07f2a5e

[ "MIT" ]

null

game_over.py

Steven-Wilson/pyweek25

1547919a17973d0b13ed630bdb1d7285f07f2a5e

[ "MIT" ]

null

import model import pyxelen from view import * from sounds import * from utils import * def on_key_down(key, state): return model.initial_model def view(renderer, state): renderer.draw_sprite(Image('images/game-over.png', FULLSCREEN), FULLSCREEN) def on_update(state): return state.set_music(MUSIC_GAME_OVER)

17.263158

79

0.756098

48

328

5

0.541667

0.083333

0

0.152439

328

18

80

18.222222

0.863309

0

0.060976

0

1

0.272727

false

0

0.454545

0.181818

0.909091

0

null

0

null

0

1

0

1

0

4

2ed064568a75b86fb24700e24c8ab0082a44c6d4

698

py

Python

User.py

lavylipesh/The_Keeper

c8f3d9856b44266c7775bd644960e902b19b8d07

[ "MIT" ]

1

2019-10-14T14:51:41.000Z

User.py

lavylipesh/The_Keeper

c8f3d9856b44266c7775bd644960e902b19b8d07

[ "MIT" ]

null

User.py

lavylipesh/The_Keeper

c8f3d9856b44266c7775bd644960e902b19b8d07

[ "MIT" ]

null

import string import random class User: """ class that generates new instances of users """ user_list = [] def __init__(self,username,password): ''' __init__ method that helps us define properties for our objects ''' self.username = username self.password = password def create_user(): ''' method thhat helps us create our user ''' def save_user(self): ''' method that saves user objects into user_list ''' User.user_list.append(self) def generatePassword(): return ' '.join(random.choice(string.ascii_letters + string.digits) for i in range (10))

26.846154

96

0.590258

79

698

5.037975

0.531646

0.060302

0

0.004211

0.319484

698

25

97

27.92

0.833684

0.273639

0

1

0

0.00237

0

1

0.333333

false

0.25

0.166667

0.083333

0.75

0

null

0

1

0

null

0

1

0

1

0

1

0

4

2edf9bd6df7b909e0c12ad1ae30032eb13db21db

306

py

Python

01_strategy/duck/lib/quack_behaviors.py

denzow/practice-design-pattern

141d59c51375e36769a73b6ff135a8afae64b664

[ "MIT" ]

1

2018-08-15T08:07:58.000Z

01_strategy/duck/lib/quack_behaviors.py

denzow/practice-design-pattern

141d59c51375e36769a73b6ff135a8afae64b664

[ "MIT" ]

null

01_strategy/duck/lib/quack_behaviors.py

denzow/practice-design-pattern

141d59c51375e36769a73b6ff135a8afae64b664

[ "MIT" ]

null

# coding: utf-8 from abc import ABCMeta, abstractmethod class QuackBehavior(metaclass=ABCMeta): @abstractmethod def quack(self): pass class Quack(QuackBehavior): def quack(self): print('くぁっくぁ') class Squeak(QuackBehavior): def quack(self): print('キューキュー')

13.304348

39

0.653595

33

306

6.060606

0.575758

0.12

0.18

0.25

0.3

0

0.00431

0.24183

306

22

40

13.909091

0.857759

0.042484

0

0.272727

0

0.037801

0

1

0.272727

false

0.090909

0

0.636364

0.181818

0

null

0

1

0

null

0

1

0

1

0

1

0

4

2ef50669a2ab4c2fad58f1de63abb09ff01504f5

137

py

Python

fixtest/tests/__init__.py

kennt/fixtest

e68f06ba1ceb9d50c7c3b67e0293510f17597aef

[ "MIT" ]

16

2015-04-17T12:52:21.000Z

2021-12-13T13:56:43.000Z

fixtest/tests/__init__.py

kennt/fixtest

e68f06ba1ceb9d50c7c3b67e0293510f17597aef

[ "MIT" ]

4

2015-04-17T14:19:45.000Z

2022-02-11T03:40:14.000Z

fixtest/tests/__init__.py

kennt/fixtest

e68f06ba1ceb9d50c7c3b67e0293510f17597aef

[ "MIT" ]

6

2015-04-17T12:54:29.000Z

2020-10-10T06:43:10.000Z

19.571429

67

0.70073

20

137

4.8

0.85

0.125

0

0.037736

0.226277

137

6

68

22.833333

0.867925

0.868613

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

2c222045d7bef8f68b6319db047c1755ec3c76ae

99

py

Python

vuetifyforms/apps.py

IronTooch/bounca

ad728c39ff8921ec38f924ed8ebcd088516b8438

[ "Apache-2.0" ]

142

2016-06-01T18:53:31.000Z

2022-01-29T10:22:02.000Z

vuetifyforms/apps.py

IronTooch/bounca

ad728c39ff8921ec38f924ed8ebcd088516b8438

[ "Apache-2.0" ]

32

2016-06-12T13:53:05.000Z

2022-03-22T21:09:40.000Z

vuetifyforms/apps.py

IronTooch/bounca

ad728c39ff8921ec38f924ed8ebcd088516b8438

[ "Apache-2.0" ]

22

2017-12-19T21:29:38.000Z

2022-01-29T10:45:25.000Z

from django.apps import AppConfig class VuetifyformsConfig(AppConfig): name = "vuetifyforms"

16.5

36

0.777778

10

99

7.7

0.9

0

0.151515

99

5

37

19.8

0.916667

0

0.121212

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

259457ba1a0ff19f14146fb8a6c1f1a1bdf1e0a1

128

py

Python

terrascript/data/hashicorp/random.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

507

2017-07-26T02:58:38.000Z

2022-01-21T12:35:13.000Z

terrascript/data/hashicorp/random.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

135

2017-07-20T12:01:59.000Z

2021-10-04T22:25:40.000Z

terrascript/data/hashicorp/random.py

mjuenema/python-terrascript

6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d

[ "BSD-2-Clause" ]

81

2018-02-20T17:55:28.000Z

2022-01-31T07:08:40.000Z

# terrascript/data/hashicorp/random.py # Automatically generated by tools/makecode.py (24-Sep-2021 15:25:40 UTC) __all__ = []

21.333333

73

0.75

19

128

4.842105

0.947368

0

0.106195

0.117188

128

5

74

25.6

0.707965

0.84375

0

1

0

1

0

false

0

1

0

null

0

1

0

1

0

1

0

null

0

4

25b040241c0a044f031931d25cd41ac223563f53

142

py

Python

pp/__init__.py

Kuro-Rui/Honkertonken-Cogs

eaad1c5be1b3f71a0da25af559edbf8d77b6c21d

[ "MIT" ]

2

2022-01-07T04:21:09.000Z

2022-01-26T22:41:26.000Z

pp/__init__.py

Kuro-Rui/Honkertonken-Cogs

eaad1c5be1b3f71a0da25af559edbf8d77b6c21d

[ "MIT" ]

10

2022-01-07T04:33:33.000Z

2022-03-29T11:54:55.000Z

pp/__init__.py

Honkertonken/Cogs-V3

1f4ad84475c43bb6e98b29afa59e534dbffb60e3

[ "MIT" ]

1

2022-01-28T02:35:17.000Z

from .pp import Pp __red_end_user_data_statement__ = "This cog does not store any end user data." def setup(bot): bot.add_cog(Pp(bot))

17.75

78

0.732394

26

142

3.653846

0.692308

0.147368

0.231579

0

0.176056

142

7

79

20.285714

0.811966

0

0.295775

0

1

0.25

false

0

0.25

0

0.5

0

1

0

null

0

1

0

1

0

null

0

1

0

4

25b15ba16a48bd64327f2a530092ecdd8ecb9b8d

264

py

Python

src/upgrade-scripts/upgrade/0002_example_script.py

aeolusproject/conductor

e7a87c96e0f351d54f2b7de6f4eebe2166048eea

[ "Apache-2.0" ]

2

2016-07-25T11:30:22.000Z

2018-01-26T05:44:28.000Z

src/upgrade-scripts/upgrade/0002_example_script.py

aeolusproject/conductor

e7a87c96e0f351d54f2b7de6f4eebe2166048eea

[ "Apache-2.0" ]

3

2021-05-20T00:50:24.000Z

2022-02-26T04:51:43.000Z

src/upgrade-scripts/upgrade/0002_example_script.py

aeolusproject/conductor

e7a87c96e0f351d54f2b7de6f4eebe2166048eea

[ "Apache-2.0" ]

1

2015-10-19T08:41:16.000Z

#!/usr/bin/python #name: Example script 2 #apply: katello #description: Empty python script import sys # TODO print "Test script output" print "Test script output 2" sys.stdout.flush() print >> sys.stderr, "Test script error output" sys.stderr.flush() exit(0)

15.529412

47

0.734848

40

264

4.85

0.575

0.154639

0.216495

0

0.013274

0.143939

264

17

48

15.529412

0.845133

0.337121

0

0.362573

0

0.058824

0

null

0

0.142857

null

0.428571

0

null

0

1

0

null

0

1

0

1

0

1

0

4

25babf5f76fe7e4c2fa08d8186f18394eda77e0b

976

py

Python

test/test_cases.py

mmatera/Mathics

3857068c5683ad688fb6cb441d1e4a215f0a0563

[ "Apache-2.0" ]

3

2016-02-15T10:13:01.000Z

2021-04-01T03:18:42.000Z

test/test_cases.py

mmatera/Mathics

3857068c5683ad688fb6cb441d1e4a215f0a0563

[ "Apache-2.0" ]

1

2016-10-17T16:40:26.000Z

test/test_cases.py

mmatera/Mathics

3857068c5683ad688fb6cb441d1e4a215f0a0563

[ "Apache-2.0" ]

null

from .helper import check_evaluation def test_cases1(): expr =""" Cases[FeynCalc`Contract`Private`times[ Pair[LorentzIndex[mu], Momentum[p]], Pair[LorentzIndex[mu], Momentum[p]]], (LorentzIndex | CartesianIndex)[ FeynCalc`Contract`Private`i_, ___] :> FeynCalc`Contract`Private`i, Infinity, Heads -> True] """ res = "{mu, mu}" check_evaluation(expr, res)

57.411765

141

0.268443

44

976

5.795455

0.568182

0.188235

0.270588

0.203922

0.211765

0

0.003096

0.669057

976

16

142

61

0.786378

0

0.874872

0.142564

0

1

0.083333

false

0

0.083333

0

0.166667

0

null

0

1

0

1

0

1

0

null

0

4

25c5fc090360ac456739f2918b382feba83aa015

952

py

Python

FreeTAKServer/model/FTSModel/ChecklistDetails.py

logikal/FreeTakServer

c0916ce65781b5c60079d6440e52db8fc6ee0467

[ "MIT" ]

27

2020-05-01T01:45:59.000Z

2020-07-03T00:17:13.000Z

FreeTAKServer/model/FTSModel/ChecklistDetails.py

logikal/FreeTakServer

c0916ce65781b5c60079d6440e52db8fc6ee0467

[ "MIT" ]

34

2020-04-26T11:25:52.000Z

2020-07-03T21:06:34.000Z

FreeTAKServer/model/FTSModel/ChecklistDetails.py

logikal/FreeTakServer

c0916ce65781b5c60079d6440e52db8fc6ee0467

[ "MIT" ]

15

2020-05-01T01:46:07.000Z

2020-07-03T12:14:04.000Z

from FreeTAKServer.model.FTSModel.fts_protocol_object import FTSProtocolObject from FreeTAKServer.model.FTSModel.Name import Name from FreeTAKServer.model.FTSModel.Uid import Uid from FreeTAKServer.model.FTSModel.Description import Description from FreeTAKServer.model.FTSModel.StartTime import StartTime from FreeTAKServer.model.FTSModel.CreatorUid import CreatorUid from FreeTAKServer.model.FTSModel.CreatorCallsign import CreatorCallsign class ChecklistDetails(FTSProtocolObject): @staticmethod def Checklist(): checklistdetails = ChecklistDetails() checklistdetails.name = Name.Checklist() checklistdetails.uid = Uid.Checklist() checklistdetails.description = Description.Checklist() checklistdetails.starttime = StartTime.Checklist() checklistdetails.creatoruid = CreatorUid.Checklist() checklistdetails.creatorcallsign = CreatorCallsign.Checklist() return checklistdetails

47.6

78

0.80042

85

952

8.941176

0.247059

0.156579

0.202632

0.276316

0

0.135504

952

19

79

50.105263

0.923451

0

1

0.055556

false

0

0.388889

0

0.555556

0

null

0

1

0

null

0

1

0

1

0

4

d303a7346971410699f5a39028044f6dbd0bfd80

1,154

py

Python

awwwards/migrations/0022_auto_20191021_1614.py

SteveMitto/awwwards

2564e6cd3bc87fa511f4f10e6f7e4d497f6aa82d

[ "MIT" ]

null

awwwards/migrations/0022_auto_20191021_1614.py

SteveMitto/awwwards

2564e6cd3bc87fa511f4f10e6f7e4d497f6aa82d

[ "MIT" ]

9

2020-06-06T00:04:01.000Z

2022-02-10T13:19:30.000Z

awwwards/migrations/0022_auto_20191021_1614.py

SteveMitto/awwwards

2564e6cd3bc87fa511f4f10e6f7e4d497f6aa82d

[ "MIT" ]

1

2020-01-13T00:00:05.000Z

# Generated by Django 2.2.5 on 2019-10-21 13:14 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('awwwards', '0021_auto_20191021_1546'), ] operations = [ migrations.AlterField( model_name='rating', name='avarage', field=models.DecimalField(blank=True, decimal_places=2, max_digits=3, null=True), ), migrations.AlterField( model_name='rating', name='content', field=models.DecimalField(decimal_places=2, max_digits=3), ), migrations.AlterField( model_name='rating', name='creativity', field=models.DecimalField(blank=True, decimal_places=2, max_digits=3, null=True), ), migrations.AlterField( model_name='rating', name='design', field=models.DecimalField(decimal_places=2, max_digits=3), ), migrations.AlterField( model_name='rating', name='usability', field=models.DecimalField(decimal_places=2, max_digits=3), ), ]

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d30bb1b39856c9f378006f354788bd996e1cdf42

169

py

Python

{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/common/models/__init__.py

mazdakb/django-naqsh

1ba19ebe74ed63d96eae9d226f1a0ebcfbb93e84

[ "BSD-3-Clause" ]

50

2018-05-04T14:03:30.000Z

2021-08-05T19:29:47.000Z

{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/common/models/__init__.py

mazdakb/django-naqsh

1ba19ebe74ed63d96eae9d226f1a0ebcfbb93e84

[ "BSD-3-Clause" ]

143

2018-05-10T16:51:39.000Z

2021-02-27T15:25:44.000Z

{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/common/models/__init__.py

mazdakb/django-naqsh

1ba19ebe74ed63d96eae9d226f1a0ebcfbb93e84

[ "BSD-3-Clause" ]

3

2019-05-27T18:15:31.000Z

2020-04-05T14:31:35.000Z

# flake8: noqa from .abstract import ( ActivatedModelManager, ActivatedModelMixin, SluggedModelMixin, TimestampedModelMixin, UniversalModelMixin, )

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d329476efa2b7cf0376f8d7206d59c403c467659

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py

Python

test/test_ezsignfoldersignerassociation_response_compound_all_of.py

ezmaxinc/eZmax-SDK-python

6794b8001abfb7d9ae18a3b87aba164839b925a0

[ "MIT" ]

null

test/test_ezsignfoldersignerassociation_response_compound_all_of.py

ezmaxinc/eZmax-SDK-python

6794b8001abfb7d9ae18a3b87aba164839b925a0

[ "MIT" ]

null

test/test_ezsignfoldersignerassociation_response_compound_all_of.py

ezmaxinc/eZmax-SDK-python

6794b8001abfb7d9ae18a3b87aba164839b925a0

[ "MIT" ]

null

""" eZmax API Definition (Full) This API expose all the functionnalities for the eZmax and eZsign applications. # noqa: E501 The version of the OpenAPI document: 1.1.7 Contact: support-api@ezmax.ca Generated by: https://openapi-generator.tech """ import sys import unittest import eZmaxApi from eZmaxApi.model.ezsignfoldersignerassociation_response_compound_user import EzsignfoldersignerassociationResponseCompoundUser from eZmaxApi.model.ezsignsigner_response_compound import EzsignsignerResponseCompound globals()['EzsignfoldersignerassociationResponseCompoundUser'] = EzsignfoldersignerassociationResponseCompoundUser globals()['EzsignsignerResponseCompound'] = EzsignsignerResponseCompound from eZmaxApi.model.ezsignfoldersignerassociation_response_compound_all_of import EzsignfoldersignerassociationResponseCompoundAllOf class TestEzsignfoldersignerassociationResponseCompoundAllOf(unittest.TestCase): """EzsignfoldersignerassociationResponseCompoundAllOf unit test stubs""" def setUp(self): pass def tearDown(self): pass def testEzsignfoldersignerassociationResponseCompoundAllOf(self): """Test EzsignfoldersignerassociationResponseCompoundAllOf""" # FIXME: construct object with mandatory attributes with example values # model = EzsignfoldersignerassociationResponseCompoundAllOf() # noqa: E501 pass if __name__ == '__main__': unittest.main()

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d330e8477aa1f9561bd45b33c643913c5dd9cf62

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py

Python

topmine_src/postprocess.py

yyht/topmine_py3

b5d124ab389c4389d97c1cb5ac81e4ec22e6cb86

[ "MIT" ]

2

2019-11-27T01:59:02.000Z

2021-03-04T03:17:30.000Z

topmine_src/postprocess.py

yyht/topmine_py3

b5d124ab389c4389d97c1cb5ac81e4ec22e6cb86

[ "MIT" ]

null

topmine_src/postprocess.py

yyht/topmine_py3

b5d124ab389c4389d97c1cb5ac81e4ec22e6cb86

[ "MIT" ]

1

2019-04-08T19:22:31.000Z

import numpy as np def merge_single_char(phrase): segment_lst = phrase[0].strip().split() leng = [len(item) for item in segment_lst]

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d33d4e02bc0aa424a3bba771b030fd7e48bca843

9,499

py

Python

frinx_conductor_workers/netconf_worker_test.py

FRINXio/uniflow-micros

827542cea483ce3ebe73f72d982ec75a1c42aa19

[ "Apache-2.0" ]

null

frinx_conductor_workers/netconf_worker_test.py

FRINXio/uniflow-micros

827542cea483ce3ebe73f72d982ec75a1c42aa19

[ "Apache-2.0" ]

null

frinx_conductor_workers/netconf_worker_test.py

FRINXio/uniflow-micros

827542cea483ce3ebe73f72d982ec75a1c42aa19

[ "Apache-2.0" ]

1

2021-03-29T01:08:21.000Z

import json from unittest.mock import patch import unittest import frinx_conductor_workers.netconf_worker from frinx_conductor_workers.frinx_rest import uniconfig_url_base netconf_node_connecting = { "node": [ { "node-id": "xr6", "netconf-node-topology:host": "192.168.1.213", "netconf-node-topology:connected-message": "Connecting", "netconf-node-topology:connection-status": "connecting", "netconf-node-topology:port": 830 } ] } netconf_node_connected = { "node": [ { "node-id": "xr6", "netconf-node-topology:unavailable-capabilities": { "unavailable-capability": [] }, "netconf-node-topology:available-capabilities": { "available-capability": [] }, "netconf-node-topology:host": "192.168.1.213", "netconf-node-topology:connected-message": "Success", "netconf-node-topology:connection-status": "connected", "netconf-node-topology:port": 830, "topology-node-extension:node-type-fingerprint": "1319530689" } ] } netconf_node_non_exist = { "errors": { "error": [ { "error-message": "Request could not be completed because the relevant data model content does not exist", "error-tag": "data-missing", "error-type": "protocol" } ] } } bad_request_response = { "errors": { "error": [ { "error-type": "protocol", "error-tag": "data-missing", "error-message": "Request could not be completed because the relevant data model content does not exist" } ] } } alarms_response = { "alarms": { "alarm": [ { "id": "302/1", "state": { "severity": "openconfig-alarm-types:CRITICAL", "id": "302", "text": "Physical Port Link Down", "time-created": 1597308680, "resource": "GigabitEthernet0/0/1", }, }, { "id": "387/1", "state": { "severity": "openconfig-alarm-types:CRITICAL", "id": "387", "text": "Transceiver Missing - Link Down", "time-created": 1597308667, "resource": "subslot 0/0 transceiver container 2", }, } ], }, } class MockResponse: def __init__(self, content, status_code): self.content = content self.status_code = status_code def json(self): return self.content class TestMount(unittest.TestCase): def test_mount_new_device(self): with patch('frinx_conductor_workers.netconf_worker.requests.post') as mock: mock.return_value = MockResponse(bytes(json.dumps({}), encoding='utf-8'), 201) request = frinx_conductor_workers.netconf_worker.execute_mount_netconf( {"inputData": {"device_id": "xr6", "host": "192.168.1.1", "port": "830", "keepalive-delay": "1000", "tcp-only": "false", "username": "name", "password": "password"}}) self.assertEqual(request["status"], "COMPLETED") self.assertEqual(request["output"]["url"], uniconfig_url_base + "/operations/connection-manager:install-node") self.assertEqual(request["output"]["response_code"], 201) self.assertEqual(request["output"]["response_body"], {}) def test_mount_existing_device(self): with patch('frinx_conductor_workers.netconf_worker.requests.post') as mock: mock.return_value = MockResponse(bytes(json.dumps({}), encoding='utf-8'), 204) request = frinx_conductor_workers.netconf_worker.execute_mount_netconf( {"inputData": {"device_id": "xr6", "host": "192.168.1.1", "port": "830", "keepalive-delay": "1000", "tcp-only": "false", "username": "name", "password": "password"}}) self.assertEqual(request["status"], "COMPLETED") self.assertEqual(request["output"]["url"], uniconfig_url_base + "/operations/connection-manager:install-node") self.assertEqual(request["output"]["response_code"], 204) self.assertEqual(request["output"]["response_body"], {}) class TestUnmount(unittest.TestCase): def test_unmount_existing_device(self): with patch('frinx_conductor_workers.netconf_worker.requests.post') as mock: mock.return_value = MockResponse(bytes(json.dumps({}), encoding='utf-8'), 204) request = frinx_conductor_workers.netconf_worker.execute_unmount_netconf({"inputData": {"device_id": "xr6"}}) self.assertEqual(request["status"], "COMPLETED") self.assertEqual(request["output"]["url"], uniconfig_url_base + "/operations/connection-manager:uninstall-node") self.assertEqual(request["output"]["response_code"], 204) self.assertEqual(request["output"]["response_body"], {}) class TestReadStructuredData(unittest.TestCase): def test_read_structured_data_with_device(self): with patch('frinx_conductor_workers.netconf_worker.requests.get') as mock: mock.return_value = MockResponse(bytes(json.dumps(alarms_response), encoding='utf-8'), 200) request = frinx_conductor_workers.netconf_worker.read_structured_data( {"inputData": {"device_id": "xr5", "uri": "/openconfig-system/system/alarms"}}) self.assertEqual(request["status"], "COMPLETED") self.assertEqual(request["output"]["url"], uniconfig_url_base + "/data/network-topology:network-topology/topology=topology-netconf/node=xr5" "/yang-ext:mount/openconfig-system/system/alarms") self.assertEqual(request["output"]["response_code"], 200) self.assertEqual(len(request["output"]["response_body"]["alarms"]["alarm"]), 2) self.assertEqual(request["output"]["response_body"]["alarms"]["alarm"][0]["id"], "302/1") self.assertEqual(request["output"]["response_body"]["alarms"]["alarm"][0]["state"]["text"], "Physical Port Link Down") self.assertEqual(request["output"]["response_body"]["alarms"]["alarm"][1]["id"], "387/1") self.assertEqual(request["output"]["response_body"]["alarms"]["alarm"][1]["state"]["text"], "Transceiver Missing - Link Down") def test_read_structured_data_no_device(self): with patch('frinx_conductor_workers.netconf_worker.requests.get') as mock: mock.return_value = MockResponse(bytes(json.dumps(bad_request_response), encoding='utf-8'), 404) request = frinx_conductor_workers.netconf_worker.read_structured_data( {"inputData": {"device_id": "", "uri": "/openconfig-system/system/alarms"}}) self.assertEqual(request["status"], "FAILED") self.assertEqual(request["output"]["response_code"], 404) self.assertEqual(request["output"]["response_body"]['errors']['error'][0]["error-type"], "protocol") self.assertEqual(request["output"]["response_body"]['errors']['error'][0]["error-message"], "Request could not be completed because the relevant data model content does not exist") class TestCheckCliConnected(unittest.TestCase): def test_execute_check_connected_netconf_connecting(self): with patch('frinx_conductor_workers.netconf_worker.requests.get') as mock: mock.return_value = MockResponse(bytes(json.dumps(netconf_node_connecting), encoding='utf-8'), 200) request = frinx_conductor_workers.netconf_worker.execute_check_connected_netconf({"inputData": {"device_id": "xr6"}}) self.assertEqual(request["status"], "FAILED") self.assertEqual(request["output"]["url"], uniconfig_url_base + "/data/network-topology:network-topology/topology=topology-netconf" "/node=xr6?content=nonconfig") self.assertEqual(request["output"]["response_body"]["node"][0]["netconf-node-topology:connection-status"], "connecting") def test_execute_check_connected_netconf_connected(self): with patch('frinx_conductor_workers.netconf_worker.requests.get') as mock: mock.return_value = MockResponse(bytes(json.dumps(netconf_node_connected), encoding='utf-8'), 200) request = frinx_conductor_workers.netconf_worker.execute_check_connected_netconf({"inputData": {"device_id": "xr6"}}) self.assertEqual(request["status"], "COMPLETED") self.assertEqual(request["output"]["url"], uniconfig_url_base + "/data/network-topology:network-topology/topology=topology-netconf" "/node=xr6?content=nonconfig") self.assertEqual(request["output"]["response_body"]["node"][0]["netconf-node-topology:connection-status"], "connected") if __name__ == "__main__": unittest.main()

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0

null

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1

0

1

0

null

0

4

d33f9ea99a3408e2fcaa5440b0f9e85d20b8620b

189

py

Python

webApp/backend/src/models/__init__.py

DevinSit/dank-league-of-memeing-battlegrounds

282518150c2e68bca437e154005cd836d2cf0e6d

[ "MIT" ]

2

2022-02-03T04:13:59.000Z

2022-02-03T20:12:20.000Z

webApp/backend/src/models/__init__.py

DevinSit/dank-league-of-memeing-battlegrounds

282518150c2e68bca437e154005cd836d2cf0e6d

[ "MIT" ]

null

webApp/backend/src/models/__init__.py

DevinSit/dank-league-of-memeing-battlegrounds

282518150c2e68bca437e154005cd836d2cf0e6d

[ "MIT" ]

null

from .keras_prediction import KerasPrediction from .leaderboard_score import LeaderboardScore from .meme_post import MemePost __all__ = ["KerasPrediction", "LeaderboardScore", "MemePost"]

31.5

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0.830688

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189

7.894737

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d362c79a5a113c804a1dd094a8468577b1bca7c9

295

py

Python

helpers.py

adrianmrit/SummerAssistant

6afe9f3304dcee2d00066019a66120a53d87ff49

[ "MIT" ]

5

2017-10-06T20:52:06.000Z

2021-04-22T10:00:35.000Z

helpers.py

adrianmrit/SummerAssistant

6afe9f3304dcee2d00066019a66120a53d87ff49

[ "MIT" ]

null

helpers.py

adrianmrit/SummerAssistant

6afe9f3304dcee2d00066019a66120a53d87ff49

[ "MIT" ]

null

def append_helper(initial_list, append_this): if type(initial_list) is not list: raise TypeError("initial_list must be a list") if type(append_this) == list: return initial_list + append_this else: initial_list.append(append_this) return initial_list

32.777778

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null

1

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1

0

null

0

4

d37384f994a6d59d1df9c282ec74f75ce3c7fd71

4,047

py

Python

lm_eval/tasks/quac.py

konstantinschulz/lm-evaluation-harness

b0acb3379d2fa8e15561cea033be422bff144f30

[ "MIT" ]

null

lm_eval/tasks/quac.py

konstantinschulz/lm-evaluation-harness

b0acb3379d2fa8e15561cea033be422bff144f30

[ "MIT" ]

null

lm_eval/tasks/quac.py

konstantinschulz/lm-evaluation-harness

b0acb3379d2fa8e15561cea033be422bff144f30

[ "MIT" ]

null

""" QuAC: Question Answering in Context https://arxiv.org/abs/1808.07036 Question Answering in Context (QuAC) is a dataset for modeling, understanding, and participating in information seeking dialog. Data instances consist of an interactive dialog between two crowd workers: (1) a student who poses a sequence of freeform questions to learn as much as possible about a hidden Wikipedia text, and (2) a teacher who answers the questions by providing short excerpts (spans) from the text. Homepage: https://quac.ai/ """ import inspect import lm_eval.datasets.quac.quac from lm_eval.base import Task _CITATION = """ @article{choi2018quac, title={Quac: Question answering in context}, author={Choi, Eunsol and He, He and Iyyer, Mohit and Yatskar, Mark and Yih, Wen-tau and Choi, Yejin and Liang, Percy and Zettlemoyer, Luke}, journal={arXiv preprint arXiv:1808.07036}, year={2018} } """ class QuAC(Task): VERSION = 0 DATASET_PATH = inspect.getfile(lm_eval.datasets.quac.quac) DATASET_NAME = None def has_training_docs(self): return True def has_validation_docs(self): return True def has_test_docs(self): return False def training_docs(self): if self._training_docs is None: self._training_docs = list(map(self._process_doc, self.dataset["train"])) return self._training_docs def validation_docs(self): return map(self._process_doc, self.dataset["validation"]) def test_docs(self): raise NotImplementedError("QuAC has no test docs.") def _process_doc(self, doc): doc["title"] = doc["title"] + " - " + doc["section_title"] return doc def doc_to_text(self, doc): return ( "TITLE: " + doc["title"] + "\n" + "PARAGRAPH: " + doc["paragraph"] + "\n\n" + "Q: " + doc["question"] + "\n\n" + "A: " ) def should_decontaminate(self): return True def doc_to_decontamination_query(self, doc): return doc["paragraph"] def doc_to_target(self, doc): return doc["answer"] def construct_requests(self, doc, ctx): """Uses RequestFactory to construct Requests and returns an iterable of Requests which will be sent to the LM. :param doc: The document as returned from training_docs, validation_docs, or test_docs. :param ctx: str The context string, generated by fewshot_context. This includes the natural language description, as well as the few shot examples, and the question part of the document for `doc`. """ # TODO: implement evaluation. raise NotImplementedError("Evaluation not implemented") def process_results(self, doc, results): """Take a single document and the LM results and evaluates, returning a dict where keys are the names of submetrics and values are the values of the metric for that one document :param doc: The document as returned from training_docs, validation_docs, or test_docs. :param results: The results of the requests created in construct_requests. """ # TODO: implement evaluation. raise NotImplementedError("Evaluation not implemented") def aggregation(self): """ :returns: {str: [float] -> float} A dictionary where keys are the names of submetrics and values are functions that aggregate a list of metrics """ # TODO: implement evaluation. raise NotImplementedError("Evaluation not implemented") def higher_is_better(self): """ :returns: {str: bool} A dictionary where keys are the names of submetrics and values are whether a higher value of the submetric is better """ # TODO: implement evaluation. raise NotImplementedError("Evaluation not implemented")

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null

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1

0

1

0

1

0

4

d377db0598548d642b98de0dc4810f306e517333

151

py

Python

foo-d-service/api.py

diversemix/foo-d

0a800a8efdce10e4590307f03615b203bd981c72

[ "MIT" ]

null

foo-d-service/api.py

diversemix/foo-d

0a800a8efdce10e4590307f03615b203bd981c72

[ "MIT" ]

1

2019-09-16T08:45:31.000Z

foo-d-service/api.py

diversemix/foo-d

0a800a8efdce10e4590307f03615b203bd981c72

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ This file will contain the webui endpoints for the web Application Too small so moved for now. """

18.875

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null

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1

0

1

0

null

0

1

0

4

6c9fccbf43ae31616aa147cde2bcd3468842742f

181

py

Python

huey/constants.py

vb8448/huey

345857dd01293af70a3a72dcb8052e34b38574b1

[ "MIT" ]

3,676

2015-01-02T22:43:04.000Z

2022-03-31T05:29:02.000Z

huey/constants.py

vb8448/huey

345857dd01293af70a3a72dcb8052e34b38574b1

[ "MIT" ]

542

2015-01-15T17:18:52.000Z

2022-03-16T19:18:55.000Z

huey/constants.py

vb8448/huey

345857dd01293af70a3a72dcb8052e34b38574b1

[ "MIT" ]

385

2015-01-08T05:02:58.000Z

2022-03-17T12:27:38.000Z

WORKER_THREAD = 'thread' WORKER_GREENLET = 'greenlet' WORKER_PROCESS = 'process' WORKER_TYPES = (WORKER_THREAD, WORKER_GREENLET, WORKER_PROCESS) class EmptyData(object): pass

20.111111

63

0.779006

21

181

6.380952

0.428571

0.179104

0.298507

0

0.127072

181

8

64

22.625

0.848101

0

0.116022

0

1

0

false

0.166667

0

0.166667

0

1

0

null

0

1

0

1

0

null

0

1

0

4

6cae0f410ab52a0c8ae7d1a7c920ee3aff401a61

46

py

Python

connector/__init__.py

BranKein/GIST-EC4206-BE

e9f3ccb0e90a991ef158e305b6cb24523d0e8985

[ "MIT" ]

null

connector/__init__.py

BranKein/GIST-EC4206-BE

e9f3ccb0e90a991ef158e305b6cb24523d0e8985

[ "MIT" ]

null

connector/__init__.py

BranKein/GIST-EC4206-BE

e9f3ccb0e90a991ef158e305b6cb24523d0e8985

[ "MIT" ]

null

from .mysql import MySQL __all__ = ['MySQL']

11.5

24

0.695652

6

46

4.666667

0.666667

0

0.173913

46

3

25

15.333333

0.736842

0

0.108696

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

6cb7eb9dfbc669ed371a53c29f34e39816ccd850

340

py

Python

client.py

lucasoldaini/w2v_client_server

bf197527688cacd877e26a305ac3d59cba24df24

[ "Unlicense" ]

null

client.py

lucasoldaini/w2v_client_server

bf197527688cacd877e26a305ac3d59cba24df24

[ "Unlicense" ]

null

client.py

lucasoldaini/w2v_client_server

bf197527688cacd877e26a305ac3d59cba24df24

[ "Unlicense" ]

null

try: from MinimalServer import MinimalClient from server import W2VServer except ImportError: from .MinimalServer import MinimalClient from .server import W2VServer def get_w2v_client(host='localhost', port=7443): client = MinimalClient(W2VServer, host=host, port=port, buffersize=4096 ) return client

24.285714

48

0.735294

38

340

6.526316

0.526316

0.137097

0.185484

0.290323

0.491935

0

0.04428

0.202941

340

13

49

26.153846

0.870849

0

0.026471

0

1

0.090909

false

0

0.454545

0

0.636364

0

null

0

1

0

null

0

1

0

1

0

4

6cc4ff6c8544f322e8f6700f725f4455537c5676

417

py

Python

Waveforms/results/hAsymmetric_3_0.py

keefemitman/PostNewtonian

853d6577cb0002da5eebe1cb55f0c28fbc114324

[ "MIT" ]

18

2015-03-26T01:04:36.000Z

2022-02-01T19:26:21.000Z

Waveforms/results/hAsymmetric_3_0.py

keefemitman/PostNewtonian

853d6577cb0002da5eebe1cb55f0c28fbc114324

[ "MIT" ]

4

2015-01-08T23:46:29.000Z

2017-09-20T19:13:51.000Z

Waveforms/results/hAsymmetric_3_0.py

keefemitman/PostNewtonian

853d6577cb0002da5eebe1cb55f0c28fbc114324

[ "MIT" ]

3

2016-05-13T02:36:14.000Z

2021-11-23T21:36:32.000Z

-sqrt(210)*sqrt(pi)*nu*(101*Gm*S_lambda*delta*nu + 41*Gm*S_lambda*delta - 479*Gm*Sigma_lambda*nu**2 + 20*Gm*Sigma_lambda*nu + 29*Gm*Sigma_lambda - 147*S_lambda*delta*nu*r(0)*v(0)**2 + 33*S_lambda*delta*r(0)*v(0)**2 + 687*Sigma_lambda*nu**2*r(0)*v(0)**2 - 306*Sigma_lambda*nu*r(0)*v(0)**2 + 33*Sigma_lambda*r(0)*v(0)**2 + 18*c**2*(3*S_lambda*delta - 11*Sigma_lambda*nu + 3*Sigma_lambda)*r(0))*r(0)*v(0)**10/(1890*c**5)

417

0.657074

101

417

2.584158

0.287129

0.337165

0.068966

0.091954

0.126437

0.068966

0

0.157761

0.057554

417

1

417

0.506361

0

1

0

true

0

null

1

0

1

0

1

0

null

0

1

0

4

6cd02330d75c5bceba04a69405849995c76c9a97

55

py

Python

pyAutoGUI.py

FJen180835/Boothcamp2021

1cbf7a050aa002c7158450494e5e842ae03d15be

[ "MIT" ]

null

pyAutoGUI.py

FJen180835/Boothcamp2021

1cbf7a050aa002c7158450494e5e842ae03d15be

[ "MIT" ]

null

pyAutoGUI.py

FJen180835/Boothcamp2021

1cbf7a050aa002c7158450494e5e842ae03d15be

[ "MIT" ]

null

# pyautogui import pyautogui pyautogui.position()

11

21

0.745455

5

55

8.2

0.6

0

0.181818

55

4

22

13.75

0.911111

0.163636

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

6cf51db9e938da6469c9bf9f5f5aa83a0ebeed8d

1,456

py

Python

app/models/UserModel.py

leossoaress/isystems-challenge

7caf9181183ec061d385f5333ea018163ea4903a

[ "MIT" ]

null

app/models/UserModel.py

leossoaress/isystems-challenge

7caf9181183ec061d385f5333ea018163ea4903a

[ "MIT" ]

null

app/models/UserModel.py

leossoaress/isystems-challenge

7caf9181183ec061d385f5333ea018163ea4903a

[ "MIT" ]

null

import datetime from app.models import db, bcrypt class UserModel(db.Model): __tablename__ = "user" id = db.Column(db.Integer, primary_key=True) fullname = db.Column(db.String(256), nullable=False) email = db.Column(db.String(256), nullable=False, unique=True) password = db.Column(db.String(1024), nullable=False) isAdmin = db.Column(db.Boolean, default=False) createdAt = db.Column(db.DateTime) updatedAt = db.Column(db.DateTime) orgUsers = db.relationship("OrgUserModel") orgs = db.relationship("OrgModel", secondary="orgUser") def __init__(self, data): self.fullname = data.get('fullname') self.email = data.get('email') self.password = self.generateHash(data.get('password')) self.isAdmin = data.get('isAdmin') self.createdAt = datetime.datetime.utcnow() self.updatedAt = datetime.datetime.utcnow() def generateHash(self, password): return bcrypt.generate_password_hash(password, rounds=10).decode("utf-8") def checkHash(self, password): return bcrypt.check_password_hash(self.password, password) def save(self): db.session.add(self) db.session.commit() @staticmethod def getById(id): return UserModel.query.get(id) @staticmethod def getByEmail(email): return UserModel.query.filter_by(email=email).first() @staticmethod def getAll(): return UserModel.query.all() def __repr__(self): return "<User %r>" % self.email

29.12

77

0.699176

184

1,456

5.434783

0.38587

0.056

0.07

0.048

0.064

0

0.010691

0.164835

1,456

50

78

29.12

0.811678

0

0.078947

0

0.050103

0

1

0.210526

false

0.157895

0.052632

0.157895

0.710526

0

null

0

null

0

1

0

1

0

1

0

4

6cfbbaca36151421b4a1c147e1794ac1845331ed

514

py

Python

example/views.py

ngalkov/Vial

514fd8ad878ae64ed34d5967ab47a08bca584752

[ "MIT" ]

null

example/views.py

ngalkov/Vial

514fd8ad878ae64ed34d5967ab47a08bca584752

[ "MIT" ]

null

example/views.py

ngalkov/Vial

514fd8ad878ae64ed34d5967ab47a08bca584752

[ "MIT" ]

1

2022-02-09T18:54:14.000Z

from vial import Response, Status, render_template def index(environ): content = render_template("index.html", {}) return Response(content, Status.OK) def hello(environ): content = render_template("hello.html", {}) return Response(content, Status.OK) def item(environ, item_id): content = render_template("item.html", {"item_id": item_id}) return Response(content, Status.OK) def logo(environ): content = render_template("logo.html", {}) return Response(content, Status.OK)

23.363636

64

0.700389

65

514

5.415385

0.276923

0.198864

0.238636

0.306818

0.389205

0.204545

0

0.163424

514

21

65

24.47619

0.818605

0

0.307692

0

0.087549

0

1

0.307692

false

0

0.076923

0

0.692308

0

null

0

1

0

null

0

1

0

1

0

4

9f429477ad491de4a37669df327a5c59ed0e100a

207

py

Python

29/09/7.py

pylangstudy/201705

c69de524faa67fa2d96267d5a51ed9794208f0e4

[ "CC0-1.0" ]

null

29/09/7.py

pylangstudy/201705

c69de524faa67fa2d96267d5a51ed9794208f0e4

[ "CC0-1.0" ]

38

2017-05-25T07:08:48.000Z

2017-05-31T01:42:41.000Z

29/09/7.py

pylangstudy/201705

c69de524faa67fa2d96267d5a51ed9794208f0e4

[ "CC0-1.0" ]

null

def func(arg, opt=1, *args, **kwargs): print(arg, opt, args, kwargs) func(0) func(0, 10) func(0, 10, 20) func(0, 10, 20, 30) func(0, 10, 20, 30, key='value') func(0, 10, 20, 30, key='value', key2='v2')

20.7

43

0.584541

42

207

2.880952

0.380952

0.247934

0.289256

0.297521

0.404959

0.31405

0

0.19186

0.169082

207

9

44

23

0.511628

0

0.057971

0

1

0.125

false

0

0.125

0

null

1

0

1

0

null

0

4

9f5bb6a75176eaedb1c0a0e19eb7043c49729b4e

274

py

Python

tunacell/io/__init__.py

HuggyHugMe/tunacell

5a7a7a58bbb557098d6638e896aa784ecc37d639

[ "MIT" ]

null

tunacell/io/__init__.py

HuggyHugMe/tunacell

5a7a7a58bbb557098d6638e896aa784ecc37d639

[ "MIT" ]

3

2017-08-10T11:19:01.000Z

2019-08-11T11:11:00.000Z

tunacell/io/__init__.py

HuggyHugMe/tunacell

5a7a7a58bbb557098d6638e896aa784ecc37d639

[ "MIT" ]

5

2017-08-08T22:31:24.000Z

2021-08-06T04:08:08.000Z

#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ This module defines input/output functions. Text ---- .. automodule:: tunacell.io.text :members: Sniff ----- .. automodule:: tunacell.io.sniff :members: HDF5 ---- .. automodule:: tunacell.io.h5 :members: """

11.416667

43

0.613139

31

274

5.419355

0.677419

0.321429

0.357143

0

0.017621

0.171533

274

23

44

11.913043

0.722467

0.956204

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

1

0

1

0

null

0

1

0

4

9f653edd7b0f22c85741462d01c9b907c3f13d44

482

py

Python

Workshop 1/Exercises/Drawing Boxes/Step 7.py

ATLAS-P/Python-Introduction

1baed0ec1fc67a3578b68667cbebbae144bf8450

[ "MIT" ]

2

2016-10-26T09:57:05.000Z

2018-06-27T11:47:33.000Z

Workshop 1/Exercises/Drawing Boxes/Step 7.py

ATLAS-P/Introduction

1baed0ec1fc67a3578b68667cbebbae144bf8450

[ "MIT" ]

null

Workshop 1/Exercises/Drawing Boxes/Step 7.py

ATLAS-P/Introduction

1baed0ec1fc67a3578b68667cbebbae144bf8450

[ "MIT" ]

null

''' The function has been made even more general by parameterizing the size of one sub box. ''' def drawBox(length, cellSize): for i in range(length): printBoxLines(length, cellSize, "*", "---", 1) printBoxLines(length, cellSize, "|", " ", cellSize) printBoxLines(length, cellSize, "*", "---", 1) def printBoxLines(length, cellSize, char1, char2, n): for i in range(n): print((char1 + (char2 * cellSize)) * length + char1) drawBox(10, 1)

25.368421

87

0.622407

58

482

5.172414

0.517241

0.233333

0.36

0.073333

0

0.026596

0.219917

482

18

88

26.777778

0.771277

0.180498

0

0.222222

0

0.031008

0

1

0.222222

false

0

0.222222

0.555556

0

null

1

0

null

0

1

0

1

0

4

9f9ddc567c25c5efc4d4df330e8defc70458cdb2

168

py

Python

src/15/writing_an_extension_function_that_operates_on_arrays/example.py

tuanavu/python-gitbook

948a05e065b0f40afbfd22f697dff16238163cde

[ "MIT" ]

14

2017-05-20T04:06:46.000Z

2022-01-23T06:48:45.000Z

src/15/writing_an_extension_function_that_operates_on_arrays/example.py

tuanavu/python-gitbook

948a05e065b0f40afbfd22f697dff16238163cde

[ "MIT" ]

1

2021-06-10T20:17:55.000Z

src/15/writing_an_extension_function_that_operates_on_arrays/example.py

tuanavu/python-gitbook

948a05e065b0f40afbfd22f697dff16238163cde

[ "MIT" ]

15

2017-03-29T17:57:33.000Z

2021-08-24T02:20:08.000Z

import array from sample import avg print(avg(array.array('d',[1,2,3]))) try: import numpy print(avg(numpy.array([1., 2., 3.]))) except ImportError: pass

15.272727

41

0.642857

27

168

4

0.555556

0.148148

0.055556

0

0.043478

0.178571

168

10

42

16.8

0.73913

0

0.005988

0

1

0

true

0.125

0.5

0

0.5

0.25

1

0

null

0

null

0

1

0

4

4c9f8f4cd7095a333b9903acf605879b257b9c25

591

py

Python

hivemind/compression/__init__.py

nunoedgarhubsoftphotoflow/hivemind

395af50a337679a66ec21bcb6f70e8c4ce8c0f2b

[ "MIT" ]

6

2020-03-11T17:52:24.000Z

2020-03-23T07:27:12.000Z

hivemind/compression/__init__.py

nunoedgarhubsoftphotoflow/hivemind

395af50a337679a66ec21bcb6f70e8c4ce8c0f2b

[ "MIT" ]

14

2020-03-01T21:07:05.000Z

2020-03-28T17:54:50.000Z

hivemind/compression/__init__.py

learning-at-home/tesseract

c6b2b2d84ccfc890314a2bfece8eef238372d410

[ "MIT" ]

null

""" Compression strategies that reduce the network communication in .averaging, .optim and .moe """ from hivemind.compression.adaptive import PerTensorCompression, RoleAdaptiveCompression, SizeAdaptiveCompression from hivemind.compression.base import CompressionBase, CompressionInfo, NoCompression, TensorRole from hivemind.compression.floating import Float16Compression, ScaledFloat16Compression from hivemind.compression.quantization import Quantile8BitQuantization, Uniform8BitQuantization from hivemind.compression.serialization import deserialize_torch_tensor, serialize_torch_tensor

59.1

112

0.879865

54

591

9.555556

0.648148

0.116279

0.222868

0

0.010949

0.072758

591

9

113

65.666667

0.930657

0.153976

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

4

4cd9481798f4a603b7012e1e4b42649ff8973906

111

py

Python

Math/algebra/addition/python/add.py

rishiosaur/beginners-only

5466f99ccf7f32ba20f911a79d2cc6015a27b6e9

[ "MIT" ]

16

2019-10-06T13:31:17.000Z

2022-02-17T12:49:05.000Z

Math/algebra/addition/python/add.py

rishiosaur/beginners-only

5466f99ccf7f32ba20f911a79d2cc6015a27b6e9

[ "MIT" ]

26

2019-10-05T06:11:35.000Z

2020-11-17T13:16:02.000Z

Math/algebra/addition/python/add.py

rishiosaur/beginners-only

5466f99ccf7f32ba20f911a79d2cc6015a27b6e9

[ "MIT" ]

88

2019-10-05T08:16:46.000Z

2021-10-01T09:24:39.000Z

def add(first,second): """Adds two numbers""" return first + second if __name__ == "__main__": add(2,3)

15.857143

26

0.63964

16

111

3.9375

0.8125

0.349206

0

0.022222

0.189189

111

6

27

18.5

0.677778

0.144144

0

0.089888

0

1

0.25

false

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

4cee1845a1987c68edb177312413b10089f48b7a

139

py

Python

math_so/__init__.py

OleBo/MathSo

1f9fa0492d467c0bb0479768c503eee7723ae777

[ "MIT" ]

1

2022-01-08T23:52:57.000Z

math_so/__init__.py

OleBo/MathSo

1f9fa0492d467c0bb0479768c503eee7723ae777

[ "MIT" ]

null

math_so/__init__.py

OleBo/MathSo

1f9fa0492d467c0bb0479768c503eee7723ae777

[ "MIT" ]

1

2022-01-02T21:14:30.000Z

""" some usefull functions """ __version__ = '0.1.0' from .animate_bisection import (animate_bisection) __all__ = ['animate_bisection']

13.9

50

0.733813

16

139

5.6875

0.6875

0.527473

0

0.024793

0.129496

139

9

51

15.444444

0.727273

0.158273

0

0.201835

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

4

e224d0696c1af16e73129442343ada2d4715b48e

3,395

py

Python

289_Game-of-Life.py

Coalin/Daily-LeetCode-Exercise

a064dcdc3a82314be4571d342c4807291a24f69f

[ "MIT" ]

3

2018-07-05T05:51:10.000Z

2019-05-04T08:35:44.000Z

289_Game-of-Life.py

Coalin/Daily-LeetCode-Exercise

a064dcdc3a82314be4571d342c4807291a24f69f

[ "MIT" ]

null

289_Game-of-Life.py

Coalin/Daily-LeetCode-Exercise

a064dcdc3a82314be4571d342c4807291a24f69f

[ "MIT" ]

null

class Solution: def gameOfLife(self, board): """ :type board: List[List[int]] :rtype: void Do not return anything, modify board in-place instead. """ if not board: return board last = copy.deepcopy(board) for i in range(len(board)): for j in range(len(board[0])): cur_count = self.findCount(last, i, j) print(cur_count) if board[i][j] == 1: if cur_count < 2 or cur_count > 3: board[i][j] = 0 else: if cur_count == 3: board[i][j] = 1 def findCount(self, board, i, j): count = 0 if len(board) == 1 and len(board[0]) == 1: return 0 if len(board[0]) == 1: try: count += board[i][j-1] except: pass try: count += board[i][j+1] except: pass return count if len(board) == 1: try: count += board[i-1][j] except: pass try: count += board[i+1][j] except: pass return count if i > 0 and i < len(board)-1 and j > 0 and j < len(board[0])-1: count += board[i-1][j] count += board[i-1][j-1] count += board[i-1][j+1] count += board[i][j-1] count += board[i][j+1] count += board[i+1][j-1] count += board[i+1][j] count += board[i+1][j+1] return count if i == 0 and j == 0: count += board[i][j+1] count += board[i+1][j] count += board[i+1][j+1] return count if i == 0 and j == len(board[0])-1: count += board[i][j-1] count += board[i+1][j] count += board[i+1][j-1] return count if i == len(board)-1 and j == 0: count += board[i][j+1] count += board[i-1][j] count += board[i-1][j+1] return count if i == len(board)-1 and j == len(board[0])-1: count += board[i][j-1] count += board[i-1][j] count += board[i-1][j-1] return count if i == 0: count += board[i][j-1] count += board[i][j+1] count += board[i+1][j] count += board[i+1][j-1] count += board[i+1][j+1] return count if i == len(board)-1: count += board[i][j-1] count += board[i][j+1] count += board[i-1][j] count += board[i-1][j-1] count += board[i-1][j+1] return count if j == 0: count += board[i-1][j] count += board[i+1][j] count += board[i-1][j+1] count += board[i][j+1] count += board[i+1][j+1] return count if j == len(board[0])-1: count += board[i-1][j] count += board[i+1][j] count += board[i-1][j-1] count += board[i][j-1] count += board[i+1][j-1] return count

30.585586

75

0.377025

446

3,395

2.858744

0.09417

0.225882

0.379608

0.282353

0.734118

0.721569

0.682353

0.671373

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0.47511

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0.010309

0

null

1

0

1

0

null

0

4

e22cd89e13d20fb620ab9fa99f2593ed96d508cb

214

py

Python

Chapter 01/Chap01_Example1.70.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

Chapter 01/Chap01_Example1.70.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

Chapter 01/Chap01_Example1.70.py

bpbpublications/Programming-Techniques-using-Python

49b785f37e95a3aad1d36cef51e219ac56e5e9f0

[ "MIT" ]

null

#less than operator print(4<10) # --- L1 print(10<4) # --- L2 print(4<4.0) # --- L3 print(4.0<4) # --- L4 print('python'<'Python') #--- L5 print('python'<'python') # --- L6 print('Python'<'python') #--- L7

23.777778

34

0.528037

33

214

3.424242

0.454545

0.159292

0.451327

0

0.107345

0.172897

214

8

35

26.75

0.531073

0.303738

0

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0

1

0

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0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

4

e24971ff980f7ec446e598a55149376c52a4c864

133

py

Python

python/testData/optimizeImports/orderByType.after.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/optimizeImports/orderByType.after.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/optimizeImports/orderByType.after.py

truthiswill/intellij-community

fff88cfb0dc168eea18ecb745d3e5b93f57b0b95

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

from __future__ import with_statement import datetime import sys import foo from bar import * sys.path datetime.datetime foo.bar()

12.090909

37

0.81203

20

133

5.15

0.5

0.174757

0

0.142857

133

11

38

12.090909

0.903509

0

1

0

true

0

0.625

0

0.625

0

1

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null

0

null

0

1

0

1

0

1

0

4

2c7d20c6867cd77397de2a1ebf6c9cc0dffd8c7b

133

py

Python

tests/results/015_simple_hash09.py

CowboyTim/python-storable

f03cf0eae60eeb9c3345e9ddf3370a49a316e472

[ "Zlib" ]

8

2015-04-24T07:27:42.000Z

2020-10-30T20:51:40.000Z

tests/results/015_simple_hash09.py

CowboyTim/python-storable

f03cf0eae60eeb9c3345e9ddf3370a49a316e472

[ "Zlib" ]

7

2015-09-08T01:40:12.000Z

2021-09-29T15:19:46.000Z

tests/results/015_simple_hash09.py

CowboyTim/python-storable

f03cf0eae60eeb9c3345e9ddf3370a49a316e472

[ "Zlib" ]

10

2015-07-22T13:57:04.000Z

2020-09-03T18:32:39.000Z

result = [ [0.6, 0.7], {'a': 'b'}, None, [ 'uu', 'ii', [None], [7, 8, 9, {}] ] ]

11.083333

21

0.203008

14

133

1.928571

0.785714

0

0.111111

0.526316

133

11

22

12.090909

0.31746

0

0.045113

0

1

0

false

0

1

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1

null

0

1

0

1

0

null

0

4

2c9cf497f125e2c9d07587e86f42a6d73c994725

397

py

Python

chapter_11-Interfaces-FromProtocolsToABCs/sample_11_1.py

zixingkong/Fluent-Python

6f05ec5f27a1cf582ddc5a09959f446d455b6c4a

[ "MIT" ]

null

chapter_11-Interfaces-FromProtocolsToABCs/sample_11_1.py

zixingkong/Fluent-Python

6f05ec5f27a1cf582ddc5a09959f446d455b6c4a

[ "MIT" ]

null

chapter_11-Interfaces-FromProtocolsToABCs/sample_11_1.py

zixingkong/Fluent-Python

6f05ec5f27a1cf582ddc5a09959f446d455b6c4a

[ "MIT" ]

1

2022-03-14T15:04:58.000Z

# -*- coding: utf-8 -*- """ ------------------------------------------------- File Name： sample_11.1 Description : date： 2022/2/18 ------------------------------------------------- """ class Vector2d: typecode = 'd' def __init__(self, x, y): self.x = float(x) self.y = float(y) def __iter__(self): return (i for i in (self.x, self.y))

19.85

49

0.375315

42

397

3.333333

0.666667

0.107143

0.085714

0

0.040678

0.256927

397

19

50

20.894737

0.433898

0.496222

0

0.005208

0

1

0.285714

false

0

0.142857

0.714286

0

null

0

1

0

null

0

1

0

1

0

4

e2c3ab4e7e1a7fbc423f0a67578e871c76706c56

105

py

Python

update_supply_chain_information/supply_chains/apps.py

uktrade/update-supply-chain-information

5cdcc795257b8351cf11b57487b194012ee8886d

[ "MIT" ]

null

update_supply_chain_information/supply_chains/apps.py

uktrade/update-supply-chain-information

5cdcc795257b8351cf11b57487b194012ee8886d

[ "MIT" ]

204

2021-05-26T16:15:04.000Z

2022-02-14T05:10:44.000Z

update_supply_chain_information/supply_chains/apps.py

uktrade/defend-data-capture

5cdcc795257b8351cf11b57487b194012ee8886d

[ "MIT" ]

1

2021-06-26T10:28:30.000Z

from django.apps import AppConfig class SupplyChainUpdateConfig(AppConfig): name = "supply_chains"

17.5

41

0.790476

11

105

7.454545

0.909091

0

0.142857

105

5

42

21

0.911111

0

0.12381

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

e2db49207a3d7e41fec922e1563363045e6b20db

2,257

py

Python

framework/class_builder.py

petrovp/networkx-related

ebe7053e032b527ebaa9565f96ba91145de3fd50

[ "BSD-3-Clause" ]

null

framework/class_builder.py

petrovp/networkx-related

ebe7053e032b527ebaa9565f96ba91145de3fd50

[ "BSD-3-Clause" ]

null

framework/class_builder.py

petrovp/networkx-related

ebe7053e032b527ebaa9565f96ba91145de3fd50

[ "BSD-3-Clause" ]

null

# -*- coding: utf-8 -*- # Copyright (C) 2018 by # Marta Grobelna <marta.grobelna@rwth-aachen.de> # Petre Petrov <petrepp4@gmail.com> # Rudi Floren <rudi.floren@gmail.com> # Tobias Winkler <tobias.winkler1@rwth-aachen.de> # All rights reserved. # BSD license. # # Authors: Marta Grobelna <marta.grobelna@rwth-aachen.de> # Petre Petrov <petrepp4@gmail.com> # Rudi Floren <rudi.floren@gmail.com> # Tobias Winkler <tobias.winkler1@rwth-aachen.de> from framework.generic_classes import * class CombinatorialClassBuilder: """ Interface for objects that build combinatorial classes. # TODO implement size checking mechanism. """ def zero_atom(self): raise NotImplementedError def l_atom(self): raise NotImplementedError def u_atom(self): raise NotImplementedError def product(self, lhs, rhs): """ Parameters ---------- lhs: CombinatorialClass rhs: CombinatorialClass """ raise NotImplementedError def set(self, elements): """ Parameters ---------- elements: list of CombinatorialClass """ raise NotImplementedError class DefaultBuilder(CombinatorialClassBuilder): """ Builds the generic objects. """ def zero_atom(self): return ZeroAtomClass() def l_atom(self): return LAtomClass() def u_atom(self): return UAtomClass() def product(self, lhs, rhs): return ProdClass(lhs, rhs) def set(self, elements): return SetClass(elements) class DummyBuilder(CombinatorialClassBuilder): """ Builds dummy objects. """ def zero_atom(self): return DummyClass() def l_atom(self): return DummyClass(l_size=1) def u_atom(self): return DummyClass(u_size=1) def product(self, lhs, rhs): l_size = lhs.l_size + rhs.l_size u_size = lhs.u_size + rhs.u_size return DummyClass(l_size, u_size) def set(self, elements): l_size = 0 u_size = 0 for dummy in elements: l_size += dummy.l_size u_size += dummy.u_size return DummyClass(l_size, u_size)

22.57

59

0.610102

251

2,257

5.374502

0.310757

0.053373

0.062268

0.029652

0.456635

0.283173

0.24166

0.195701

0

0.008085

0.28755

2,257

99

60

22.79798

0.830846

0.330527

0

0.536585

0

0.010101

0

1

0.365854

false

0

0.02439

0.195122

0.707317

0

null

0

null

0

1

0

1

0

1

0

4

e2ec67a63cf7fb5c047312e7907602f989e9aa7e

429

py

Python

src/zad02/NotesService.py

TestowanieAutomatyczneUG/laboratorium-10-SzymonWilczewski

0ddb3a32cabc4f2a6b395f7b727154bcaf3d19ff

[ "MIT" ]

null

src/zad02/NotesService.py

TestowanieAutomatyczneUG/laboratorium-10-SzymonWilczewski

0ddb3a32cabc4f2a6b395f7b727154bcaf3d19ff

[ "MIT" ]

null

src/zad02/NotesService.py

TestowanieAutomatyczneUG/laboratorium-10-SzymonWilczewski

0ddb3a32cabc4f2a6b395f7b727154bcaf3d19ff

[ "MIT" ]

null

from src.zad02.NotesStorage import NotesStorage class NotesService: def __init__(self): self.notesStorage = NotesStorage() def add(self, note): return self.notesStorage.add(note) def averageOf(self, name): notes = self.notesStorage.getAllNotesOf(name) return sum(map(lambda note: note.get_note(), notes)) / len(notes) def clear(self): return self.notesStorage.clear()

25.235294

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0.67366

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429

5.68

0.46

0.225352

0.15493

0

0.00597

0.219114

429

16

74

26.8125

0.841791

0

1

0.363636

false

0

0.090909

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0.818182

0

null

1

0

null

0

1

0

1

0

4

3945b2fc0df3c7b3738bde77ca6d9e10e5ecb399

77

py

Python

run.py

m20-sch57/Fejudge

3eba1879be608e119b7891a1dbe7c9e450cc3914

[ "MIT" ]

2

2019-12-25T14:06:09.000Z

2020-04-02T22:06:28.000Z

run.py

m20-sch57/Fejudge

3eba1879be608e119b7891a1dbe7c9e450cc3914

[ "MIT" ]

9

2020-05-14T16:15:29.000Z

2020-09-01T14:17:19.000Z

run.py

m20-sch57/Fejudge

3eba1879be608e119b7891a1dbe7c9e450cc3914

[ "MIT" ]

null

from app import app, socketio socketio.run(app, host='0.0.0.0', port=3113)

15.4

44

0.701299

15

77

3.6

0.6

0.111111

0

0.119403

0.12987

77

4

45

19.25

0.686567

0

0.090909

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

394c077ecd3b3d0ef9f9736e079ba86826d27ce8

476

py

Python

src/domain/Submittion/usecase/submittion_repository.py

fossabot/daizu-online-judge-backend

34e8ad4fe99374056046cf400d038423db12549c

[ "MIT" ]

null

src/domain/Submittion/usecase/submittion_repository.py

fossabot/daizu-online-judge-backend

34e8ad4fe99374056046cf400d038423db12549c

[ "MIT" ]

null

src/domain/Submittion/usecase/submittion_repository.py

fossabot/daizu-online-judge-backend

34e8ad4fe99374056046cf400d038423db12549c

[ "MIT" ]

null

from abc import ABC, abstractmethod from typing import List from domain.Submittion.submittion import Submittion class SubmittionRepository(ABC): @abstractmethod def store(self, submittion: Submittion) -> int: raise NotImplementedError() @abstractmethod def find_all(self, problem_id: str) -> List[Submittion]: raise NotImplementedError() @abstractmethod def find(self, submit_id) -> Submittion: raise NotImplementedError()

25.052632

60

0.72479

48

476

7.125

0.458333

0.149123

0.222222

0.239766

0.263158

0

0.197479

476

18

61

26.444444

0.895288

0

0.461538

0

1

0.230769

false

0

0.230769

0

0.538462

0

null

0

1

0

null

0

1

0

1

0

4

39514da392f8ab5cdeec8d8ad0c24d8a2808ae5c

210

py

Python

get_current.py

skullsai/gredailywords

5e04af5fd1f9078bf5cd5ea658e1e2e511e5cae8

[ "MIT" ]

null

get_current.py

skullsai/gredailywords

5e04af5fd1f9078bf5cd5ea658e1e2e511e5cae8

[ "MIT" ]

null

get_current.py

skullsai/gredailywords

5e04af5fd1f9078bf5cd5ea658e1e2e511e5cae8

[ "MIT" ]

null

from gre420 import get_var,get_sheet print('CURRENT INDICES :') print("INDEX :",get_var('index.p')) print("WORD :",get_var('cur_word.p')) print("SHEET :",get_sheet()) print("WORD_LIST",get_var('word_list.p'))

26.25

41

0.709524

35

210

4

0.4

0.171429

0.185714

0

0.015385

0.071429

210

7

42

30

0.702564

0

0.354067

0

1

0

true

0

0.166667

0

0.166667

0.833333

0

null

0

1

0

1

0

null

0

1

0

1

0

4

1a5ecb6c12e8db85c2c8ed41f472685bc122e3d8

222

py

Python

dask_sql/physical/rex/core/__init__.py

compose2-ankit/dask-sql

0818e3f4b5719116e17fec355aafda7d373bebe8

[ "MIT" ]

1

2021-11-06T08:19:29.000Z

dask_sql/physical/rex/core/__init__.py

ciusji/dask-sql

3815a494e1e93558fca86a86d59578ba6696c9c5

[ "MIT" ]

1

2021-05-24T21:16:27.000Z

2021-05-25T19:12:57.000Z

dask_sql/physical/rex/core/__init__.py

ciusji/dask-sql

3815a494e1e93558fca86a86d59578ba6696c9c5

[ "MIT" ]

1

2021-01-24T05:52:50.000Z

from .call import RexCallPlugin from .input_ref import RexInputRefPlugin from .literal import RexLiteralPlugin from .over import RexOverPlugin __all__ = [RexCallPlugin, RexInputRefPlugin, RexLiteralPlugin, RexOverPlugin]

31.714286

77

0.851351

22

222

8.363636

0.545455

0

0.103604

222

6

78

37

0.924623

0

1

0

false

0

0.8

0

0.8

0

1

0

null

0

1

0

null

0

1

0

1

0

4

1a69f72b714d6cd02b7943fc217e43e81f7d8b6d

94

py

Python

order/user_order/apps.py

Virusuki/AWS_MSA_service_order

5b95fe1c86d06434f46ff2cb6be7add9874120a3

[ "Apache-2.0" ]

null

order/user_order/apps.py

Virusuki/AWS_MSA_service_order

5b95fe1c86d06434f46ff2cb6be7add9874120a3

[ "Apache-2.0" ]

null

order/user_order/apps.py

Virusuki/AWS_MSA_service_order

5b95fe1c86d06434f46ff2cb6be7add9874120a3

[ "Apache-2.0" ]

null

from django.apps import AppConfig class UserOrderConfig(AppConfig): name = 'user_order'

15.666667

33

0.765957

11

94

6.454545

0.909091

0

0.159574

94

5

34

18.8

0.898734

0

0.106383

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

1a8fdaf80cf4aba6d1741b304c2a63706951e504

559

py

Python

Python/chapter02_variable.py

stayteef/learningpython

d4e997a6e6f6a4994f1932a728045f512964725a

[ "MIT" ]

null

Python/chapter02_variable.py

stayteef/learningpython

d4e997a6e6f6a4994f1932a728045f512964725a

[ "MIT" ]

null

Python/chapter02_variable.py

stayteef/learningpython

d4e997a6e6f6a4994f1932a728045f512964725a

[ "MIT" ]

null

# this is to learn what 'variable' is. #i did the followings in termial with a python shell. so this is what a alist is #a = 15 #print (a) #a = [1, 2, 3, 4] #a [2] #type (a) - to show a is a int #10 ==10 is to ask if 10 equals to 10, so it will return 'true" #10 != 11 is asking if 11 equals to 10 and of course it will print false # python does not let us mix between strings and integers. so we can convert interger into a string by typing 'str(1)' and 1 is now a string # lists work as well. # questions above works for strings too import turtle

29.421053

141

0.68873

114

559

3.377193

0.614035

0.031169

0.051948

0

0.058411

0.234347

559

18

142

31.055556

0.841122

0.921288

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

46cc916808467654370dbb5682ce10c4334d11d1

57

py

Python

tests/tc6.py

crackaf/PythonInterpreter

690b3ee8cff8c13dd834788a410a69d9ea923fc1

[ "MIT" ]

1

2021-07-28T13:25:20.000Z

tests/tc6.py

crackaf/PythonInterpreter

690b3ee8cff8c13dd834788a410a69d9ea923fc1

[ "MIT" ]

null

tests/tc6.py

crackaf/PythonInterpreter

690b3ee8cff8c13dd834788a410a69d9ea923fc1

[ "MIT" ]

null

a=5 b=50 if a>=b: c=a-b else: c=a-b print(c)

4.75

9

0.438596

16

57

1.5625

0.5

0.24

0

0.081081

0.350877

57

11

10

5.181818

0.594595

0

0.285714

0

1

0

false

0

0.142857

1

0

1

null

1

0

null

0

4

46cf5c402bcc09ca53f5840cff174597c09f89a5

3,175

py

Python

src/crawlers/nike.py

Brunopaes/python-sandbox

c51f716785bf11789b13f9bb24bfd76108eaec08

[ "MIT" ]

5

2020-08-04T00:13:06.000Z

2022-03-18T09:18:29.000Z

src/crawlers/nike.py

Brunopaes/python-sandbox

c51f716785bf11789b13f9bb24bfd76108eaec08

[ "MIT" ]

null

src/crawlers/nike.py

Brunopaes/python-sandbox

c51f716785bf11789b13f9bb24bfd76108eaec08

[ "MIT" ]

2

2020-06-26T13:42:17.000Z

2020-08-04T00:13:10.000Z

# -*- coding: utf-8 -*- from selenium import webdriver import time url = 'https://www.nike.com.br/' driver = webdriver.Chrome('../../drivers/chromedriver.exe') js = """fetch("https://www.nike.com.br/Cliente/LogarNike", { "credentials": "include", "headers": { "accept": "application/json, text/javascript, /; q=0.01", "accept-language": "en-US,en;q=0.9,pt;q=0.8", "content-type": "application/x-www-form-urlencoded; charset=UTF-8", "sec-fetch-dest": "empty", "sec-fetch-mode": "cors", "sec-fetch-site": "same-origin", "x-requested-with": "XMLHttpRequest" }, "referrer": "https://www.nike.com.br/Pedido/Acompanhamento/todos", "referrerPolicy": "no-referrer-when-downgrade", "body": "user%5Bcontact%5D%5Bemail%5D%5Baddress%5D=pedronegri%40me.com&user%5Bdob%5D%5Bdate%5D=-2198707200000&user%5Bdob%5D%5Bday%5D=30&user%5Bdob%5D%5Bmonth%5D=4&user%5Bdob%5D%5Byear%5D=1900&user%5Bgender%5D=M&user%5Bmarketing%5D%5Bdatashare%5D%5B00001%5D%5Bid%5D=00001&user%5Bmarketing%5D%5Bdatashare%5D%5B00001%5D%5Bactive%5D=true&user%5Bmarketing%5D%5Bemail%5D=true&user%5Bmarketing%5D%5Bsms%5D=true&user%5Bname%5D%5Blatin%5D%5Bfamily%5D=Arenas&user%5Bname%5D%5Blatin%5D%5Bgiven%5D=Pedro&user%5BnuId%5D=10032C8967D32ED0E0534C1C070A6370&user%5BupmId%5D=12774933647&user%5BdaysSinceLastVisit%5D=0&address%5Bshipping%5D%5Bcode%5D=09090-000&address%5Bshipping%5D%5Bcountry%5D=BR&address%5Bshipping%5D%5Bguid%5D=6406ee0d-416f-41ad-94c1-4e9387b65e13&address%5Bshipping%5D%5Blabel%5D=Principal&address%5Bshipping%5D%5Bline1%5D=Rua+das+Aroeiras%2C+900&address%5Bshipping%5D%5Bline2%5D=161&address%5Bshipping%5D%5Blocality%5D=Santo+Andr%C3%A9&address%5Bshipping%5D%5Bpreferred%5D=true&address%5Bshipping%5D%5Bprovince%5D=SP&address%5Bshipping%5D%5Bregion%5D=Jardim&address%5Bshipping%5D%5Btype%5D=SHIPPING&address%5B7964b9c1-c53f-4361-b720-9fc16d47a192%5D%5Bcode%5D=09090-000&address%5B7964b9c1-c53f-4361-b720-9fc16d47a192%5D%5Bcountry%5D=BR&address%5B7964b9c1-c53f-4361-b720-9fc16d47a192%5D%5Bguid%5D=7964b9c1-c53f-4361-b720-9fc16d47a192&address%5B7964b9c1-c53f-4361-b720-9fc16d47a192%5D%5Blabel%5D=Rua+das+Aroeiras&address%5B7964b9c1-c53f-4361-b720-9fc16d47a192%5D%5Bline1%5D=Rua+das+Aroeiras%2C+900&address%5B7964b9c1-c53f-4361-b720-9fc16d47a192%5D%5Bline2%5D=Apt+161&address%5B7964b9c1-c53f-4361-b720-9fc16d47a192%5D%5Blocality%5D=Santo+Andr%C3%A9&address%5B7964b9c1-c53f-4361-b720-9fc16d47a192%5D%5Bpreferred%5D=false&address%5B7964b9c1-c53f-4361-b720-9fc16d47a192%5D%5Bprovince%5D=SP&address%5B7964b9c1-c53f-4361-b720-9fc16d47a192%5D%5Bregion%5D=Jardim&address%5B7964b9c1-c53f-4361-b720-9fc16d47a192%5D%5Btype%5D=SHIPPING", "method": "POST", "mode": "cors" })""" driver.get(url) driver.execute_script(js) products = ( 'https://www.nike.com.br/chuteira-nike-phantom-gt-elite-3d-unissex-153-169-171-316414?gridPosition=A1', 'https://www.nike.com.br/tenis-nike-zoomx-vaporfly-next-2-feminino-1-16-214-311846?gridPosition=A2', 'https://www.nike.com.br/tenis-nike-zoom-fly-3-feminino-1-16-214-305856?gridPosition=A3', ) for product in products: driver.get(product) driver.implicitly_wait(1)

79.375

1,928

0.763465

472

3,175

5.131356

0.387712

0.039637

0.059455

0.11891

0.428159

0.317093

0.300165

0.058629

0.030553

0

0.206689

0.058268

3,175

39

1,929

81.410256

0.603344

0.006614

0

0.193548

0.916878

0.645939

0

1

0

false

0

0.064516

0

0.064516

0

null

0

1

0

1

0

1

null

0

4

46d86e206dd5926bdc0a0885814ea377dc5ba997

112

py

Python

autocord/error.py

qweme32/autocord

7bf141acf9bc9e3f9ef5a5c90a2ed24c28b3e045

[ "MIT" ]

null

autocord/error.py

qweme32/autocord

7bf141acf9bc9e3f9ef5a5c90a2ed24c28b3e045

[ "MIT" ]

null

autocord/error.py

qweme32/autocord

7bf141acf9bc9e3f9ef5a5c90a2ed24c28b3e045

[ "MIT" ]

null

# autocord # package for simple automation with discord client # # m: error class ApiError(Exception): pass

16

51

0.741071

14

112

5.928571

1

0

0.1875

112

7

52

16

0.912088

0.598214

0

1

0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

46f8484ab799b8075dca61d004ee86c6b5ed3ab5

397

py

Python

config.py

vekkt0r/harmenubar

6019a76f85e0b4ddacf4159f88ee31514ed338c8

[ "MIT" ]

5

2015-04-18T16:57:53.000Z

2020-12-28T08:50:52.000Z

config.py

vekkt0r/harmenubar

6019a76f85e0b4ddacf4159f88ee31514ed338c8

[ "MIT" ]

null

config.py

vekkt0r/harmenubar

6019a76f85e0b4ddacf4159f88ee31514ed338c8

[ "MIT" ]

null

class HarmonyConfig(object): def __init__(self, config): self.json = config def get_activities(self): return self._build_kv_menu('activity') def get_devices(self): return self._build_kv_menu('device') def _build_kv_menu(self, key): menu = {} for d in self.json[key]: menu.update({int(d['id']): d['label']}) return menu

26.466667

51

0.596977

52

397

4.269231

0.480769

0.094595

0.148649

0.171171

0.225225

0

0.27204

397

15

52

26.466667

0.768166

0

0.052764

0

1

0.333333

false

0

0.166667

0.666667

0

null

0

1

0

null

0

1

0

1

0

4

20237e3666124ff093bac66dcec326277d49ee0e

53

py

Python

modules/2.79/bpy/types/LineStyleGeometryModifier_GuidingLines.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/LineStyleGeometryModifier_GuidingLines.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/types/LineStyleGeometryModifier_GuidingLines.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

LineStyleGeometryModifier_GuidingLines.type = None

13.25

50

0.867925

4

53

11.25

1

0

0.09434

53

3

51

17.666667

0.9375

0

1

0

true

0

1

0

1

null

0

1

0

null

0

1

0

4

644cbf5b25f45ac5b2df4618eb7cb5695df577c7

112

py

Python

qiskit_sliqsim_provider/__init__.py

NTU-ALComLab/Qiskit-SliQSim-Provider

f27103d2bc195356705bdc86d9f23ada6b92ca7b

[ "MIT" ]

1

2021-06-23T15:22:21.000Z

qiskit_sliqsim_provider/__init__.py

NTU-ALComLab/SliQSim-Qiskit-Interface

f27103d2bc195356705bdc86d9f23ada6b92ca7b

[ "MIT" ]

null

qiskit_sliqsim_provider/__init__.py

NTU-ALComLab/SliQSim-Qiskit-Interface

f27103d2bc195356705bdc86d9f23ada6b92ca7b

[ "MIT" ]

null

from .simulator_sliqsim import StatevectorSimulator, QasmSimulator from .sliqsimprovider import SliQSimProvider

37.333333

66

0.892857

10

112

9.9

0.7

0

0.080357

112

2

67

56

0.961165

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

64718195ece0aacb9142e123107f89541ad2b15d

2,155

py

Python

pynasqm/trajectories/initialexcitedstates.py

PotentialParadox/pynasqm

1bd51299b6ca7f8229d8a15428515d53a358903c

[ "MIT" ]

1

2020-03-13T22:34:03.000Z

pynasqm/trajectories/initialexcitedstates.py

PotentialParadox/pynasqm

1bd51299b6ca7f8229d8a15428515d53a358903c

[ "MIT" ]

null

pynasqm/trajectories/initialexcitedstates.py

PotentialParadox/pynasqm

1bd51299b6ca7f8229d8a15428515d53a358903c

[ "MIT" ]

null

''' get_n_initial_states_w_laser_energy_and_fwhm generates a list of initial excited states using information supplied by abs_spectra, which is a file in the format with each line [e1 f1 e2 f2]. ''' import numpy as np import math import random from pynasqm.conversions import fs_to_ev def get_n_initial_states_w_laser_energy_and_fwhm(n, abs_spectra, laser_energy, fwhm): probabilities = get_probabilities_from(abs_spectra, laser_energy, fwhm) return [choose(probabilities) + 1 for _ in range(n)] def get_probabilities_from(abs_spectra, laser_energy, fwhm): energies, strengths = get_energies_and_strenghts(abs_spectra) return calc_probabilities(laser_energy, fwhm, energies, strengths) def calc_probabilities(laser_energy, fwhm, energies, strengths): return normalize(calc_raw_probabilities(laser_energy, fwhm, energies, strengths)) def normalize(v): norm = np.sum(v) return 0 if norm == 0 else v / norm def calc_raw_probabilities(laser_energy, fwhm, energies, strenghts): return [calc_raw_probability(laser_energy, fwhm, e, s) for e, s in zip(energies, strenghts)] def convert_laserfwhm_to_sigma2(fwhm): alpha = 2.35482 # fwhm = alpha * sigma fc_fwhm = pow(alpha,2) * fs_to_ev(fwhm) / math.sqrt(2) return pow(alpha*fs_to_ev(fwhm),2)/2 def calc_raw_probability(laser_energy, fwhm, energy, strength): f = strength pi = math.pi s2 = convert_laserfwhm_to_sigma2(fwhm) w = laser_energy e = energy return f * 1.0 / math.sqrt(2.0 * pi * s2) * math.exp(-pow(e-w,2) / (2*s2)) def get_energies_and_strenghts(abs_spectra): return split_energies_and_strengths(get_averages(abs_spectra)) def get_averages(abs_spectra): return np.average(np.loadtxt(abs_spectra), axis=0) def split_energies_and_strengths(average_values): return average_values[::2], average_values[1::2] def create_choice_list(probabilities, start=0): if probabilities != []: return [start] + create_choice_list(probabilities[1:], start + probabilities[0]) return [start] def choose(probabilities): return len([x for x in create_choice_list(probabilities) if x < random.uniform(0,1)]) - 1

37.807018

102

0.750348

329

2,155

4.653495

0.288754

0.086218

0.088178

0.075114

0.39386

0.32985

0.286741

0.105813

0.047028

0

0.020754

0.150348

2,155

56

103

38.482143

0.815401

0.098376

0

1

0

1

0.3

false

0

0.1

0.15

0.725

0

null

0

1

0

null

0

1

0

1

0

4

b3a43f8a42beb81171c01796baca46a01c8d973a

376

py

Python

recursive/joseph_ring_last.py

dyc-it/algorithm

68b866c9bf5ee2b479be124d70d2362144d568bb

[ "Apache-2.0" ]

null

recursive/joseph_ring_last.py

dyc-it/algorithm

68b866c9bf5ee2b479be124d70d2362144d568bb

[ "Apache-2.0" ]

null

recursive/joseph_ring_last.py

dyc-it/algorithm

68b866c9bf5ee2b479be124d70d2362144d568bb

[ "Apache-2.0" ]

null

#!/usr/env python #只求出最后一个出环的编好，不要求中间过程 #i个人最后一个出环的编号=(i-1个人最后一个出环的编号+k)%i #m表示初始情况下环的总人数，k表示报数的值 def joseph_ring_last(m, k): last = 0 for i in range(2, m+1): last = (last + k)%i return last + 1 if __name__ == '__main__': print joseph_ring_last(1, 3) print joseph_ring_last(2, 3) print joseph_ring_last(3, 3) print joseph_ring_last(4, 3)

23.5

34

0.662234

62

376

3.741935

0.483871

0.215517

0.301724

0.327586

0.258621

0

0.043624

0.207447

376

16

35

23.5

0.731544

0.239362

0

0.028369

0

null

0

null

0.4

0

null

1

0

null

0

1

0

4

b3a47dc66dee7fe7bee450b96680cb223d494251

396

py

Python

python/api/serializers.py

kellenschmidt/yelp-for-hair-stylists

778cc39715cfd6eb7801925858a2c581fb492198

[ "Apache-2.0" ]

null

python/api/serializers.py

kellenschmidt/yelp-for-hair-stylists

778cc39715cfd6eb7801925858a2c581fb492198

[ "Apache-2.0" ]

null

python/api/serializers.py

kellenschmidt/yelp-for-hair-stylists

778cc39715cfd6eb7801925858a2c581fb492198

[ "Apache-2.0" ]

null

from rest_framework import serializers from .models import Review, Store, Worker class StoreSerializer(serializers.ModelSerializer): class Meta: model = Store fields = '__all__' class ReviewSerializer(serializers.ModelSerializer): class Meta: model = Review fields = '__all__' class WorkerSerializer(serializers.ModelSerializer): class Meta: model = Worker fields = '__all__'

19.8

52

0.772727

41

396

7.146341

0.439024

0.266212

0.317406

0.358362

0.409556

0

0.151515

396

20

53

19.8

0.872024

0

0.428571

0

0.052897

0

1

0

false

0

0.142857

0

0.571429

0

null

1

0

null

0

1

0

4

373a980f8a6ed8accd44bef32628337aaf54aa25

44

py

Python

p1_basic/day27_31netpro/day30/09_uuid.py

dong-pro/fullStackPython

5ad8662f7b57f14c8529e7eaf64290eeda773557

[ "Apache-2.0" ]

1

2020-04-03T01:32:05.000Z

p1_basic/day27_31netpro/day30/09_uuid.py

dong-pro/fullStackPython

5ad8662f7b57f14c8529e7eaf64290eeda773557

[ "Apache-2.0" ]

null

p1_basic/day27_31netpro/day30/09_uuid.py

dong-pro/fullStackPython

5ad8662f7b57f14c8529e7eaf64290eeda773557

[ "Apache-2.0" ]

null

import uuid v = str(uuid.uuid4()) print(v)

8.8

21

0.659091

8

44

3.625

0.75

0

0.027027

0.159091

44

4

22

11

0.756757

0

1

0

false

0

0.333333

0

0.333333

1

0

null

0

1

0

null

0

1

0

4

37b8cfc2ef26e2bd4cedd583789737df0f937cbf

79

py

Python

wagtail_honeypot/test/__init__.py

tomdyson/wagtail-honeypot

99cc00f5eac3153fedebaf97cb0eb060847c948c

[ "MIT" ]

2

2022-02-25T10:23:59.000Z

2022-02-26T21:18:11.000Z

wagtail_honeypot/test/__init__.py

tomdyson/wagtail-honeypot

99cc00f5eac3153fedebaf97cb0eb060847c948c

[ "MIT" ]

2

2022-03-03T21:44:42.000Z

2022-03-04T12:28:27.000Z

wagtail_honeypot/test/__init__.py

tomdyson/wagtail-honeypot

99cc00f5eac3153fedebaf97cb0eb060847c948c

[ "MIT" ]

1

2022-03-04T10:28:04.000Z

default_app_config = "wagtail_honeypot.test.apps.WagtailHoneypotTestAppConfig"

39.5

78

0.886076

8

79

8.375

1

0

0.037975

79

1

79

0.881579

0

0.696203

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

809316c23eb3091d910f2677340769be254380e0

85

py

Python

korea/apps.py

vghjm/Django_Crwaling_Server

ae263e7a2c74ebb15e7bb4192467bd81f0a73da6

[ "MIT" ]

null

korea/apps.py

vghjm/Django_Crwaling_Server

ae263e7a2c74ebb15e7bb4192467bd81f0a73da6

[ "MIT" ]

null

korea/apps.py

vghjm/Django_Crwaling_Server

ae263e7a2c74ebb15e7bb4192467bd81f0a73da6

[ "MIT" ]

null

from django.apps import AppConfig class KoreaConfig(AppConfig): name = 'korea'

14.166667

33

0.741176

10

85

6.3

0.9

0

0.176471

85

5

34

17

0.9

0

0.058824

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

03805760c536fc223af224ab7d0a15d50ffbd155

29

py

Python

homeassistant/components/traccar/__init__.py

alindeman/home-assistant

b274b10f3874c196f0db8f9cfa5f47eb756d1f8e

[ "Apache-2.0" ]

4

2019-07-03T22:36:57.000Z

2019-08-10T15:33:25.000Z

homeassistant/components/traccar/__init__.py

alindeman/home-assistant

b274b10f3874c196f0db8f9cfa5f47eb756d1f8e

[ "Apache-2.0" ]

7

2019-08-23T05:26:02.000Z

2022-03-11T23:57:18.000Z

homeassistant/components/traccar/__init__.py

alindeman/home-assistant

b274b10f3874c196f0db8f9cfa5f47eb756d1f8e

[ "Apache-2.0" ]

3

2019-04-28T16:35:45.000Z

2020-05-28T15:21:59.000Z

"""The traccar component."""

14.5

28

0.655172

3

29

6.333333

1

0

0.103448

29

1

29

0.730769

0.758621

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

038b117f70a09479ac7dd79438c8413602459d73

62

py

Python

src/chapter 2/exercise2.py

group4BSE1/BSE-2021

bea904fce079b856c26f8c06bd734176bdc4d70d

[ "MIT" ]

1

2021-03-15T23:25:13.000Z

src/chapter 2/exercise2.py

group9BSE1/BSE-2021

bea904fce079b856c26f8c06bd734176bdc4d70d

[ "MIT" ]

null

src/chapter 2/exercise2.py

group9BSE1/BSE-2021

bea904fce079b856c26f8c06bd734176bdc4d70d

[ "MIT" ]

null

user_name = input("enter the name:") print("hello", user_name)

31

36

0.725806

10

62

4.3

0.7

0.372093

0

0.096774

62

2

37

31

0.767857

0

0.31746

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

4

03f50434aa1ea5d8114fd155ca261bd0c48869da

7,021

py

Python

ngraph/python/src/ngraph/__init__.py

aisnote/openvino

d901bbfce3d195469339cfcdfd8fbdc619ef7050

[ "Apache-2.0" ]

null

ngraph/python/src/ngraph/__init__.py

aisnote/openvino

d901bbfce3d195469339cfcdfd8fbdc619ef7050

[ "Apache-2.0" ]

null

ngraph/python/src/ngraph/__init__.py

aisnote/openvino

d901bbfce3d195469339cfcdfd8fbdc619ef7050

[ "Apache-2.0" ]

null

# ****************************************************************************** # Copyright 2017-2020 Intel Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ****************************************************************************** """ngraph module namespace, exposing factory functions for all ops and other classes.""" # noqa: F401 from pkg_resources import get_distribution, DistributionNotFound try: __version__ = get_distribution("ngraph-core").version except DistributionNotFound: __version__ = "0.0.0.dev0" from ngraph.impl import Node from ngraph.impl import Function from ngraph.helpers import function_from_cnn from ngraph.helpers import function_to_cnn from ngraph.opset5 import absolute from ngraph.opset5 import absolute as abs from ngraph.opset5 import acos from ngraph.opset5 import acosh from ngraph.opset5 import add from ngraph.opset5 import asin from ngraph.opset5 import asinh from ngraph.opset5 import assign from ngraph.opset5 import atan from ngraph.opset5 import atanh from ngraph.opset5 import avg_pool from ngraph.opset5 import batch_norm_inference from ngraph.opset5 import batch_to_space from ngraph.opset5 import binary_convolution from ngraph.opset5 import broadcast from ngraph.opset5 import bucketize from ngraph.opset5 import ceiling from ngraph.opset5 import ceiling as ceil from ngraph.opset5 import clamp from ngraph.opset5 import concat from ngraph.opset5 import constant from ngraph.opset5 import convert from ngraph.opset5 import convert_like from ngraph.opset5 import convolution from ngraph.opset5 import convolution_backprop_data from ngraph.opset5 import cos from ngraph.opset5 import cosh from ngraph.opset5 import ctc_greedy_decoder from ngraph.opset5 import ctc_loss from ngraph.opset5 import cum_sum from ngraph.opset5 import cum_sum as cumsum from ngraph.opset5 import deformable_convolution from ngraph.opset5 import deformable_psroi_pooling from ngraph.opset5 import depth_to_space from ngraph.opset5 import detection_output from ngraph.opset5 import divide from ngraph.opset5 import elu from ngraph.opset5 import embedding_bag_offsets_sum from ngraph.opset5 import embedding_bag_packed_sum from ngraph.opset5 import embedding_segments_sum from ngraph.opset5 import extract_image_patches from ngraph.opset5 import equal from ngraph.opset5 import erf from ngraph.opset5 import exp from ngraph.opset5 import fake_quantize from ngraph.opset5 import floor from ngraph.opset5 import floor_mod from ngraph.opset5 import gather from ngraph.opset5 import gather_nd from ngraph.opset5 import gather_tree from ngraph.opset5 import gelu from ngraph.opset5 import greater from ngraph.opset5 import greater_equal from ngraph.opset5 import grn from ngraph.opset5 import group_convolution from ngraph.opset5 import group_convolution_backprop_data from ngraph.opset5 import gru_cell from ngraph.opset5 import hard_sigmoid from ngraph.opset5 import hswish from ngraph.opset5 import interpolate from ngraph.opset5 import less from ngraph.opset5 import less_equal from ngraph.opset5 import log from ngraph.opset5 import logical_and from ngraph.opset5 import logical_not from ngraph.opset5 import logical_or from ngraph.opset5 import logical_xor from ngraph.opset5 import log_softmax from ngraph.opset5 import lrn from ngraph.opset5 import lstm_cell from ngraph.opset5 import lstm_sequence from ngraph.opset5 import matmul from ngraph.opset5 import max_pool from ngraph.opset5 import maximum from ngraph.opset5 import minimum from ngraph.opset5 import mish from ngraph.opset5 import mod from ngraph.opset5 import multiply from ngraph.opset5 import mvn from ngraph.opset5 import negative from ngraph.opset5 import non_max_suppression from ngraph.opset5 import non_zero from ngraph.opset5 import normalize_l2 from ngraph.opset5 import not_equal from ngraph.opset5 import one_hot from ngraph.opset5 import pad from ngraph.opset5 import parameter from ngraph.opset5 import power from ngraph.opset5 import prelu from ngraph.opset5 import prior_box from ngraph.opset5 import prior_box_clustered from ngraph.opset5 import psroi_pooling from ngraph.opset5 import proposal from ngraph.opset5 import range from ngraph.opset5 import read_value from ngraph.opset5 import reduce_l1 from ngraph.opset5 import reduce_l2 from ngraph.opset5 import reduce_logical_and from ngraph.opset5 import reduce_logical_or from ngraph.opset5 import reduce_max from ngraph.opset5 import reduce_mean from ngraph.opset5 import reduce_min from ngraph.opset5 import reduce_prod from ngraph.opset5 import reduce_sum from ngraph.opset5 import region_yolo from ngraph.opset5 import reorg_yolo from ngraph.opset5 import relu from ngraph.opset5 import reshape from ngraph.opset5 import result from ngraph.opset5 import reverse_sequence from ngraph.opset5 import rnn_cell from ngraph.opset5 import roi_align from ngraph.opset5 import roi_pooling from ngraph.opset5 import round from ngraph.opset5 import scatter_elements_update from ngraph.opset5 import scatter_update from ngraph.opset5 import select from ngraph.opset5 import selu from ngraph.opset5 import shape_of from ngraph.opset5 import shuffle_channels from ngraph.opset5 import sigmoid from ngraph.opset5 import sign from ngraph.opset5 import sin from ngraph.opset5 import sinh from ngraph.opset5 import softmax from ngraph.opset5 import softplus from ngraph.opset5 import space_to_batch from ngraph.opset5 import space_to_depth from ngraph.opset5 import split from ngraph.opset5 import sqrt from ngraph.opset5 import squared_difference from ngraph.opset5 import squeeze from ngraph.opset5 import strided_slice from ngraph.opset5 import subtract from ngraph.opset5 import swish from ngraph.opset5 import tan from ngraph.opset5 import tanh from ngraph.opset5 import tensor_iterator from ngraph.opset5 import tile from ngraph.opset5 import topk from ngraph.opset5 import transpose from ngraph.opset5 import unsqueeze from ngraph.opset5 import variadic_split # Extend Node class to support binary operators Node.__add__ = add Node.__sub__ = subtract Node.__mul__ = multiply Node.__div__ = divide Node.__truediv__ = divide Node.__radd__ = lambda left, right: add(right, left) Node.__rsub__ = lambda left, right: subtract(right, left) Node.__rmul__ = lambda left, right: multiply(right, left) Node.__rdiv__ = lambda left, right: divide(right, left) Node.__rtruediv__ = lambda left, right: divide(right, left) Node.__eq__ = equal Node.__ne__ = not_equal Node.__lt__ = less Node.__le__ = less_equal Node.__gt__ = greater Node.__ge__ = greater_equal

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ff0ea7cc589a75a21b7cf3c09990a00b55193ad9

186

py

Python

jekyllnb/__init__.py

horaceg/jekyllnb

2ae5ff13ffc799c9ff88ddb60d8c8a9ed415d3cc

[ "MIT" ]

12

2019-06-20T13:53:54.000Z

2022-01-24T09:05:44.000Z

jekyllnb/__init__.py

horaceg/jekyllnb

2ae5ff13ffc799c9ff88ddb60d8c8a9ed415d3cc

[ "MIT" ]

201

2018-10-26T06:29:57.000Z

2022-03-01T08:08:32.000Z

jekyllnb/__init__.py

horaceg/jekyllnb

2ae5ff13ffc799c9ff88ddb60d8c8a9ed415d3cc

[ "MIT" ]

1

2021-05-03T09:22:03.000Z

from .__version__ import __version__ from .exporter import JekyllExporter from .preprocessor import JekyllPreprocessor __all__ = ["__version__", "JekyllExporter", "JekyllPreprocessor"]

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ff0f4314151a1592794563ee7df2a95b8ccc71bf

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py

Python

tests/test_deprecation.py

ghettorce/pyspnego

5376adb1b3fb7cfccd00be2317e85b7150f177a0

[ "MIT" ]

25

2020-05-23T10:17:46.000Z

2022-02-21T16:52:02.000Z

tests/test_deprecation.py

ghettorce/pyspnego

5376adb1b3fb7cfccd00be2317e85b7150f177a0

[ "MIT" ]

33

2020-07-04T00:05:55.000Z

2022-03-15T23:20:29.000Z

tests/test_deprecation.py

ghettorce/pyspnego

5376adb1b3fb7cfccd00be2317e85b7150f177a0

[ "MIT" ]

7

2020-08-27T03:44:46.000Z

2022-01-21T04:50:05.000Z

# -*- coding: utf-8 -*- # Copyright: (c) 2021, Jordan Borean (@jborean93) <jborean93@gmail.com> # MIT License (see LICENSE or https://opensource.org/licenses/MIT) import pytest def test_gss_import_dep(): with pytest.deprecated_call(match="spnego.gss is deprecated and will be removed in a future release"): import spnego.gss def test_negotiate_import_dep(): with pytest.deprecated_call(match="spnego.negotiate is deprecated and will be removed in a future release"): import spnego.negotiate def test_ntlm_import_dep(): with pytest.deprecated_call(match="spnego.ntlm is deprecated and will be removed in a future release"): import spnego.ntlm def test_sspi_import_dep(): with pytest.deprecated_call(match="spnego.sspi is deprecated and will be removed in a future release"): import spnego.sspi

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