xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

d34d4bd2e0a6bfa6226a7b4b08226b7097b82c36

175

py

Python

code/python/pymir/commands/train_seql.py

mfranco/pymir

f6d86bfdec942156ae95984f1ef8182d8983181f

[ "MIT" ]

1

2020-01-18T21:47:59.000Z

code/python/pymir/commands/train_seql.py

maigfrga/pymir

f6d86bfdec942156ae95984f1ef8182d8983181f

[ "MIT" ]

null

code/python/pymir/commands/train_seql.py

maigfrga/pymir

f6d86bfdec942156ae95984f1ef8182d8983181f

[ "MIT" ]

null

from pymir.analytics.key_detection.musicnet.ml.seql import seql_trainer def run(): """ Musicnet metadata format for training seql """ seql_trainer.compute()

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0.714286

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5.545455

0.772727

0.180328

0

0.188571

175

8

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21.875

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0.333333

true

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null

0

1

0

1

0

1

0

6

d35ea0e8065b0c5cecd94bf1415278b8d67cea54

892

py

Python

lib/hachoir/parser/archive/__init__.py

0x20Man/Watcher3

4656b42bc5879a3741bb95f534b7c6612a25264d

[ "Apache-2.0" ]

320

2017-03-28T23:33:45.000Z

2022-02-17T08:45:01.000Z

lib/hachoir/parser/archive/__init__.py

0x20Man/Watcher3

4656b42bc5879a3741bb95f534b7c6612a25264d

[ "Apache-2.0" ]

300

2017-03-28T19:22:54.000Z

2021-12-01T01:11:55.000Z

lib/hachoir/parser/archive/__init__.py

0x20Man/Watcher3

4656b42bc5879a3741bb95f534b7c6612a25264d

[ "Apache-2.0" ]

90

2017-03-29T16:12:43.000Z

2022-03-01T06:23:48.000Z

from hachoir.parser.archive.ace import AceFile # noqa from hachoir.parser.archive.ar import ArchiveFile # noqa from hachoir.parser.archive.bomstore import BomFile # noqa from hachoir.parser.archive.bzip2_parser import Bzip2Parser # noqa from hachoir.parser.archive.cab import CabFile # noqa from hachoir.parser.archive.gzip_parser import GzipParser # noqa from hachoir.parser.archive.tar import TarFile # noqa from hachoir.parser.archive.zip import ZipFile # noqa from hachoir.parser.archive.rar import RarFile # noqa from hachoir.parser.archive.rpm import RpmFile # noqa from hachoir.parser.archive.sevenzip import SevenZipParser # noqa from hachoir.parser.archive.mar import MarFile # noqa from hachoir.parser.archive.mozilla_ar import MozillaArchive # noqa from hachoir.parser.archive.zlib import ZlibData # noqa from hachoir.parser.archive.prs_pak import PRSPakFile # noqa

55.75

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6

d376bc305c32a030c68c2a55a1be006f0de7c9be

7,475

py

Python

cogs/music.py

ilyLuxa/Athena-bot

7cb242a8c4626dbe7866850e629f85657c698514

[ "MIT" ]

null

cogs/music.py

ilyLuxa/Athena-bot

7cb242a8c4626dbe7866850e629f85657c698514

[ "MIT" ]

null

cogs/music.py

ilyLuxa/Athena-bot

7cb242a8c4626dbe7866850e629f85657c698514

[ "MIT" ]

1

2021-09-19T21:49:08.000Z

from discord.ext import commands import discord from requests.models import default_hooks import youtube_dl class music(commands.Cog): def __init__(self,client): self.client = client @commands.command( name="join", description='Joins voice channel.', usage="`a!join`" ) async def join(self,ctx): if ctx.author.voice is None: await ctx.send("**You must be connected to a voice channel to use this command.**") voice_channel = ctx.author.voice.channel if ctx.voice_client is None: await voice_channel.connect() await ctx.send(f"*Successfully connected to: {voice_channel}*") else: if len(ctx.voice_client.channel.members) == 1: await ctx.voice_client.move_to(voice_channel) await ctx.send(f"*Successfully connected to: {voice_channel}*") else: await ctx.send("**Someone else is already listening to music in different channel.**") @commands.command( name="disconnect", description='Leaves voice channel.', usage="`a!disconnect`" ) async def disconnect(self,ctx): voice = ctx.voice_client if ctx.author.voice is None: await ctx.send("**You must be connected to a voice channel to use this command.**") elif ctx.voice_client is None: await ctx.send("**I'm not in a voice channel.**") else: if ctx.author.voice.channel == voice.channel: await ctx.voice_client.disconnect() await ctx.send(f"*Successfully disconnected from: {voice.channel}*") else: if len(ctx.voice_client.channel.members) == 1: await ctx.voice_client.disconnect() await ctx.send(f"*Successfully disconnected from: {voice.channel}*") else: await ctx.send("**Someone else is already listening to music in different channel.**") @commands.command( name="play", description='Plays song from url into voice channel.', usage="`a!play [url]`" ) async def play(self,ctx,url): voice = ctx.voice_client if ctx.author.voice is None: await ctx.send("**You must be connected to a voice channel to use this command.**") voice_channel = ctx.author.voice.channel if ctx.voice_client is None: await voice_channel.connect() FFMPEG_OPTIONS = {'before_options': '-reconnect 1 -reconnect_streamed 1 -reconnect_delay_max 5','options': '-vn'} YDL_OPTIONS = {'format':'bestaudio'} with youtube_dl.YoutubeDL(YDL_OPTIONS) as ydl: info = ydl.extract_info(url, download=False) url2 = info['formats'][0]['url'] source = await discord.FFmpegOpusAudio.from_probe(url2,**FFMPEG_OPTIONS) ctx.voice_client.play(source) else: if ctx.author.voice.channel == voice.channel: FFMPEG_OPTIONS = {'before_options': '-reconnect 1 -reconnect_streamed 1 -reconnect_delay_max 5','options': '-vn'} YDL_OPTIONS = {'format':'bestaudio'} with youtube_dl.YoutubeDL(YDL_OPTIONS) as ydl: info = ydl.extract_info(url, download=False) url2 = info['formats'][0]['url'] source = await discord.FFmpegOpusAudio.from_probe(url2,**FFMPEG_OPTIONS) ctx.voice_client.play(source) else: if len(ctx.voice_client.channel.members) == 1: await ctx.voice_client.move_to(voice_channel) FFMPEG_OPTIONS = {'before_options': '-reconnect 1 -reconnect_streamed 1 -reconnect_delay_max 5','options': '-vn'} YDL_OPTIONS = {'format':'bestaudio'} with youtube_dl.YoutubeDL(YDL_OPTIONS) as ydl: info = ydl.extract_info(url, download=False) url2 = info['formats'][0]['url'] source = await discord.FFmpegOpusAudio.from_probe(url2,**FFMPEG_OPTIONS) ctx.voice_client.play(source) else: await ctx.send("**Someone else is already listening to music in different channel.**") @commands.command( name="pause", description='Pauses current song.', usage="`a!pause`" ) async def pause(self,ctx): voice = ctx.voice_client if ctx.author.voice is None: await ctx.send("**You must be connected to a voice channel to use this command.**") elif ctx.voice_client is None: await ctx.send("**I'm not in a voice channel.**") else: if ctx.author.voice.channel == voice.channel: if ctx.voice_client.is_playing(): ctx.voice_client.pause() await ctx.send("*Successfully paused the song.*") elif ctx.voice_client.is_paused(): await ctx.send("**I'm already paused.**") else: await ctx.send("**Nothing is playing.**") else: await ctx.send("**Someone else is already listening to music in different channel.**") @commands.command( name="resume", description='Resumes current song.', usage="`a!resume`" ) async def resume(self,ctx): voice = ctx.voice_client if ctx.author.voice is None: await ctx.send("**You must be connected to a voice channel to use this command.**") elif ctx.voice_client is None: await ctx.send("**I'm not in a voice channel.**") else: if ctx.author.voice.channel == voice.channel: if ctx.voice_client.is_paused(): ctx.voice_client.resume() await ctx.send("*Successfully resumed the song.*") elif ctx.voice_client.is_playing(): await ctx.send("**Music is already playing.**") else: await ctx.send("**Nothing is playing.**") else: await ctx.send("**Someone else is already listening to music in different channel.**") @commands.command( name="stop", description='Stops current song.', usage="`a!stop`" ) async def stop(self,ctx): voice = ctx.voice_client if ctx.author.voice is None: await ctx.send("**You must be connected to a voice channel to use this command.**") elif ctx.voice_client is None: await ctx.send("**I'm not in a voice channel.**") else: if ctx.author.voice.channel == voice.channel: if ctx.voice_client.is_playing() or ctx.voice_client.is_paused(): ctx.voice_client.stop() await ctx.send("*Successfully stopped the song.*") else: await ctx.send("**Nothing is playing.**") else: await ctx.send("**Someone else is already listening to music in different channel.**") def setup(client): client.add_cog(music(client))

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0.791831

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0

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0.33699

7,475

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0

null

0

1

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null

0

6

d38cf84193ef201fc156eda1f39a3e96eb90298b

17,823

py

Python

goutdotcom/flare/views.py

Spiewart/goutdotcom

0916155732a72fcb8c8a2fb0f4dd81efef618af8

[ "MIT" ]

null

goutdotcom/flare/views.py

Spiewart/goutdotcom

0916155732a72fcb8c8a2fb0f4dd81efef618af8

[ "MIT" ]

null

goutdotcom/flare/views.py

Spiewart/goutdotcom

0916155732a72fcb8c8a2fb0f4dd81efef618af8

[ "MIT" ]

null

from django.contrib import messages from django.contrib.auth.mixins import LoginRequiredMixin from django.http import HttpResponseRedirect from django.http.response import Http404 from django.shortcuts import redirect from django.urls import reverse from django.views.generic import CreateView, DetailView, ListView, UpdateView from django.views.generic.base import TemplateView from ..history.forms import ( AnginaForm, CHFSimpleForm, HeartAttackSimpleForm, HypertensionSimpleForm, PVDForm, StrokeSimpleForm, ) from ..history.models import CHF, PVD, Angina, HeartAttack, Hypertension, Stroke from ..lab.forms import UrateFlareForm from ..lab.models import Urate from .forms import FlareForm from .models import Flare # Create your views here. class AboutFlares(TemplateView): template_name = "flare/about.html" class FlareDetail(DetailView): model = Flare ### NEED TO CHECK IF FLARE BELONGS TO LOGGED IN USER, PERMISSION DENIED IF NOT class FlareList(LoginRequiredMixin, ListView): """Changed allow_empty to = False so it returns 404 when empty, then redirect with dispatch to Flare About view""" allow_empty = False paginate_by = 5 model = Flare """Overrode dispatch to redirect to Flare About view if FlareList view returns 404, as in the case of it being empty due to allow_empty=False """ def dispatch(self, *args, **kwargs): try: return super().dispatch(*args, **kwargs) except Http404: messages.info(self.request, f"No flares to list!") return redirect("flare:about") def get_context_data(self, **kwargs): context = super(ListView, self).get_context_data(**kwargs) context.update( { "flare_list": Flare.objects.filter(user=self.request.user), } ) return context def get_queryset(self): queryset = super().get_queryset() return queryset.filter(user=self.request.user).order_by("-created") class FlareCreate(CreateView): model = Flare form_class = FlareForm urate_form_class = UrateFlareForm angina_form_class = AnginaForm hypertension_form_class = HypertensionSimpleForm heartattack_form_class = HeartAttackSimpleForm CHF_form_class = CHFSimpleForm stroke_form_class = StrokeSimpleForm PVD_form_class = PVDForm def form_valid(self, form): if self.request.user.is_authenticated: if self.request.user.patientprofile: if self.request.user.patientprofile.gender: if self.request.user.patientprofile.gender == "male": form.instance.male = True else: form.instance.male = False form.instance.user = self.request.user return super().form_valid(form) else: return super().form_valid(form) def get_context_data(self, **kwargs): context = super(FlareCreate, self).get_context_data(**kwargs) if self.request.user.is_authenticated: if "urate_form" not in context: context["urate_form"] = self.urate_form_class(self.request.GET) if "angina_form" not in context: context["angina_form"] = self.angina_form_class(instance=self.request.user.medicalprofile.angina) if "hypertension_form" not in context: context["hypertension_form"] = self.hypertension_form_class( instance=self.request.user.medicalprofile.hypertension ) if "heartattack_Form" not in context: context["heartattack_form"] = self.heartattack_form_class( instance=self.request.user.medicalprofile.heartattack ) if "CHF_form" not in context: context["CHF_form"] = self.CHF_form_class(instance=self.request.user.medicalprofile.CHF) if "stroke_form" not in context: context["stroke_form"] = self.stroke_form_class(instance=self.request.user.medicalprofile.stroke) if "PVD_form" not in context: context["PVD_form"] = self.PVD_form_class(instance=self.request.user.medicalprofile.PVD) else: if "urate_form" not in context: context["urate_form"] = self.urate_form_class(self.request.GET) if "angina_form" not in context: context["angina_form"] = self.angina_form_class(self.request.GET) if "hypertension_form" not in context: context["hypertension_form"] = self.hypertension_form_class(self.request.GET) if "heartattack_form" not in context: context["heartattack_form"] = self.heartattack_form_class(self.request.GET) if "CHF_form" not in context: context["CHF_form"] = self.CHF_form_class(self.request.GET) if "stroke_form" not in context: context["stroke_form"] = self.stroke_form_class(self.request.GET) if "PVD_form" not in context: context["PVD_form"] = self.PVD_form_class(self.request.GET) return context def get_form_kwargs(self): """Overwrites get_form_kwargs() to look for 'flare' kwarg in GET request, uses 'flare' to query database for associated flare for use in FlareAidForm returns: [dict: dict containing 'flare' kwarg for form]""" # Assign self.gender to None so FlareForm won't error on loading from GET request kwargs before calling super() which will overwrite kwargs self.gender = None # Checks if user is logged in, if they have a patient profile gender, and if so, assign to self.gender if self.request.user.is_authenticated: if self.request.user.patientprofile.gender: self.gender = self.request.user.patientprofile.gender kwargs = super(FlareCreate, self).get_form_kwargs() # Pass self.gender to FlareForm as kwarg for use in form processing of male field if self.gender: kwargs["gender"] = self.gender return kwargs def get_object(self): object = self.model return object def post(self, request, *args, **kwargs): self.object = self.get_object() form = self.form_class(request.POST, instance=Flare()) urate_form = self.urate_form_class(request.POST, instance=Urate()) if request.user.is_authenticated: angina_form = self.angina_form_class(request.POST, instance=request.user.medicalprofile.angina) hypertension_form = self.hypertension_form_class( request.POST, instance=request.user.medicalprofile.hypertension ) heartattack_form = self.heartattack_form_class( request.POST, instance=request.user.medicalprofile.heartattack ) CHF_form = self.CHF_form_class(request.POST, instance=request.user.medicalprofile.CHF) stroke_form = self.stroke_form_class(request.POST, instance=request.user.medicalprofile.stroke) PVD_form = self.PVD_form_class(request.POST, instance=request.user.medicalprofile.PVD) else: angina_form = self.angina_form_class(request.POST, instance=Angina()) hypertension_form = self.hypertension_form_class(request.POST, instance=Hypertension()) heartattack_form = self.heartattack_form_class(request.POST, instance=HeartAttack()) CHF_form = self.CHF_form_class(request.POST, instance=CHF()) stroke_form = self.stroke_form_class(request.POST, instance=Stroke()) PVD_form = self.PVD_form_class(request.POST, instance=PVD()) if form.is_valid(): flare_data = form.save(commit=False) if urate_form.is_valid(): urate_data = urate_form.save(commit=False) if urate_data.value: if request.user.is_authenticated: urate_data.user = request.user urate_data.save() flare_data.urate = urate_data angina_data = angina_form.save(commit=False) angina_data.last_modified = "Flare" angina_data.save() hypertension_data = hypertension_form.save(commit=False) hypertension_data.last_modified = "Flare" hypertension_data.save() heartattack_data = heartattack_form.save(commit=False) heartattack_data.last_modified = "Flare" heartattack_data.save() CHF_data = CHF_form.save(commit=False) CHF_data.last_modified = "Flare" CHF_data.save() stroke_data = stroke_form.save(commit=False) stroke_data.last_modified = "Flare" stroke_data.save() PVD_data = PVD_form.save(commit=False) PVD_data.last_modified = "Flare" PVD_data.save() flare_data.angina = angina_data flare_data.hypertension = hypertension_data flare_data.heartattack = heartattack_data flare_data.CHF = CHF_data flare_data.stroke = stroke_data flare_data.PVD = PVD_data flare_data.save() return self.form_valid(form) else: if request.user.is_authenticated: return self.render_to_response( self.get_context_data( form=form, urate_form=self.urate_form_class(request.POST, instance=Urate()), angina_form=self.angina_form_class(request.POST, instance=request.user.medicalprofile.angina), hypertension_form=self.hypertension_form_class( request.POST, instance=request.user.medicalprofile.hypertension ), heartattack_form=self.heartattack_form_class( request.POST, instance=request.user.medicalprofile.heartattack ), CHF_form=self.CHF_form_class(request.POST, instance=request.user.medicalprofile.CHF), stroke_form=self.stroke_form_class(request.POST, instance=request.user.medicalprofile.stroke), PVD_form=self.PVD_form_class(request.POST, instance=request.user.medicalprofile.PVD), ) ) else: return self.render_to_response( self.get_context_data( form=form, urate_form=self.urate_form_class(request.POST, instance=Urate()), angina_form=self.angina_form_class(request.POST, instance=Angina()), hypertension_form=self.hypertension_form_class(request.POST, instance=Hypertension()), heartattack_form=self.heartattack_form_class(request.POST, instance=HeartAttack()), CHF_form=self.CHF_form_class(request.POST, instance=CHF()), stroke_form=self.stroke_form_class(request.POST, instance=Stroke()), PVD_form=self.PVD_form_class(request.POST, instance=PVD()), ) ) class FlareUpdate(LoginRequiredMixin, UpdateView): model = Flare form_class = FlareForm urate_form_class = UrateFlareForm angina_form_class = AnginaForm hypertension_form_class = HypertensionSimpleForm heartattack_form_class = HeartAttackSimpleForm CHF_form_class = CHFSimpleForm stroke_form_class = StrokeSimpleForm PVD_form_class = PVDForm def get_context_data(self, **kwargs): context = super(FlareUpdate, self).get_context_data(**kwargs) if self.request.POST: if "urate_form" not in context: context["urate_form"] = self.urate_form_class(self.request.POST, instance=self.object.urate) if "angina_form" not in context: context["angina_form"] = self.angina_form_class(instance=self.request.user.medicalprofile.angina) if "hypertension_form" not in context: context["hypertension_form"] = self.hypertension_form_class( instance=self.request.user.medicalprofile.hypertension ) if "heartattack_form" not in context: context["heartattack_form"] = self.heartattack_form_class( instance=self.request.user.medicalprofile.heartattack ) if "CHF_form" not in context: context["CHF_form"] = self.CHF_form_class(instance=self.request.user.medicalprofile.CHF) if "stroke_form" not in context: context["stroke_form"] = self.stroke_form_class(instance=self.request.user.medicalprofile.stroke) if "PVD_form" not in context: context["PVD_form"] = self.PVD_form_class(instance=self.request.user.medicalprofile.PVD) else: if "urate_form" not in context: context["urate_form"] = self.urate_form_class(instance=self.object.urate) if "angina_form" not in context: context["angina_form"] = self.angina_form_class(instance=self.request.user.medicalprofile.angina) if "heartattack_form" not in context: context["heartattack_form"] = self.heartattack_form_class( instance=self.request.user.medicalprofile.heartattack ) if "hypertension_form" not in context: context["hypertension_form"] = self.hypertension_form_class( instance=self.request.user.medicalprofile.hypertension ) if "CHF_form" not in context: context["CHF_form"] = self.CHF_form_class(instance=self.request.user.medicalprofile.CHF) if "stroke_form" not in context: context["stroke_form"] = self.stroke_form_class(instance=self.request.user.medicalprofile.stroke) if "PVD_form" not in context: context["PVD_form"] = self.PVD_form_class(instance=self.request.user.medicalprofile.PVD) return context def post(self, request, **kwargs): self.object = self.get_object() form = self.form_class(request.POST, request.FILES, instance=self.object) if form.is_valid(): flare_data = form.save(commit=False) flare_data.user = request.user urate_form = self.urate_form_class(request.POST, instance=self.object.urate) angina_form = self.angina_form_class(request.POST, instance=request.user.medicalprofile.angina) hypertension_form = self.hypertension_form_class( request.POST, instance=request.user.medicalprofile.hypertension ) heartattack_form = self.hypertension_form_class( request.POST, instance=request.user.medicalprofile.heartattack ) CHF_form = self.CHF_form_class(request.POST, instance=request.user.medicalprofile.CHF) stroke_form = self.stroke_form_class(request.POST, instance=request.user.medicalprofile.stroke) PVD_form = self.PVD_form_class(request.POST, instance=request.user.medicalprofile.PVD) if urate_form.is_valid(): urate_data = urate_form.save(commit=False) if urate_data.value: urate_data.user = request.user urate_data.save() flare_data.urate = urate_data angina_data = angina_form.save(commit=False) angina_data.last_modified = "Flare" angina_data.save() hypertension_data = hypertension_form.save(commit=False) hypertension_data.last_modified = "Flare" hypertension_data.save() heartattack_data = heartattack_form.save(commit=False) heartattack_data.last_modified = "Flare" heartattack_data.save() CHF_data = CHF_form.save(commit=False) CHF_data.last_modified = "Flare" CHF_data.save() stroke_data = stroke_form.save(commit=False) stroke_data.last_modified = "Flare" stroke_data.save() PVD_data = PVD_form.save(commit=False) PVD_data.last_modified = "Flare" PVD_data.save() flare_data.hypertension = hypertension_data flare_data.heartattack = heartattack_data flare_data.CHF = CHF_data flare_data.stroke = stroke_data flare_data.PVD = PVD_data flare_data.save() return self.form_valid(form) else: return self.render_to_response( self.get_context_data( form=form, urate_form=self.urate_form_class(request.POST, instance=Urate()), angina_form=self.angina_form_class(request.POST, instance=request.user.medicalprofile.angina), hypertension_form=self.hypertension_form_class( request.POST, instance=request.user.medicalprofile.hypertension ), heartattack_form=self.heartattack_form_class( request.POST, instance=request.user.medicalprofile.heartattack ), CHF_form=self.CHF_form_class(request.POST, instance=request.user.medicalprofile.CHF), stroke_form=self.stroke_form_class(request.POST, instance=request.user.medicalprofile.stroke), PVD_form=self.PVD_form_class(request.POST, instance=request.user.medicalprofile.PVD), ) )

49.92437

157

0.635471

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5.512898

0.085483

0.071841

0.063125

0.078906

0.800532

0.771447

0.7564

0.754656

0.737407

0.733187

0

0.001013

0.279863

17,823

356

158

50.064607

0.84815

0.040958

0

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0

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0

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false

0

0.043614

0

0.208723

0

null

0

1

0

null

0

6

d3a3ad1bfa261ca1b7a17e7d9ef0112762e8b1d9

30

py

Python

src/data/__init__.py

lucasalexsorensen/mlops

2d8157eb493061775bdab9a8e176d2bdcc2c166e

[ "MIT" ]

null

src/data/__init__.py

lucasalexsorensen/mlops

2d8157eb493061775bdab9a8e176d2bdcc2c166e

[ "MIT" ]

null

src/data/__init__.py

lucasalexsorensen/mlops

2d8157eb493061775bdab9a8e176d2bdcc2c166e

[ "MIT" ]

null

from .data import MaskDataset

15

29

0.833333

4

30

6.25

1

0

0.133333

30

1

30

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null

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0

1

0

1

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6

6ccbc65d8b1942df4b506a1846eafe5488db7549

9,166

py

Python

tests/test_rest_views.py

timgates42/django-nap

34a2a3f9a194457ea5391b62d49f8ee975bc5aeb

[ "BSD-3-Clause" ]

114

2015-01-15T23:03:38.000Z

2021-11-02T07:58:08.000Z

tests/test_rest_views.py

timgates42/django-nap

34a2a3f9a194457ea5391b62d49f8ee975bc5aeb

[ "BSD-3-Clause" ]

23

2015-01-08T00:37:24.000Z

2021-02-06T09:30:15.000Z

tests/test_rest_views.py

timgates42/django-nap

34a2a3f9a194457ea5391b62d49f8ee975bc5aeb

[ "BSD-3-Clause" ]

19

2015-01-13T17:19:50.000Z

2020-03-09T11:02:38.000Z

from django.test import TestCase import json from nap.http import STATUS from .models import Poll, Choice class ListRestViewTest(TestCase): def setUp(self): self.question_1 = { 'question': 'Question 1', 'pub_date': '2016-05-13 00:00:00', 'kill_date': None, } self.question_2 = { 'question': 'Question 2', 'pub_date': '2015-05-13 00:00:00', 'kill_date': None, } Poll.objects.create(**self.question_1) Poll.objects.create(**self.question_2) def test_get(self): response = self.client.get('/rest/polls/') self.assertEqual(response.status_code, STATUS.OK) self.assertEqual(response['Content-Type'], 'application/json') data = json.loads(response.getvalue().decode()) self.assertEqual(data[0], dict(self.question_1, choices=[])) self.assertEqual(data[1], dict(self.question_2, choices=[])) def test_post(self): request_data = {} response = self.client.post('/rest/polls/', data=json.dumps(request_data), content_type='application/json') self.assertEqual(response.status_code, STATUS.BAD_REQUEST) request_data = {'question': 'Question 1'} response = self.client.post('/rest/polls/', data=json.dumps(request_data), content_type='application/json') self.assertEqual(response.status_code, STATUS.BAD_REQUEST) request_data = {'pub_date': '2016-05-13 00:00:00'} response = self.client.post('/rest/polls/', data=json.dumps(request_data), content_type='application/json') self.assertEqual(response.status_code, STATUS.BAD_REQUEST) request_data = { 'question': 'Question 1', 'pub_date': '2016-05-13 00:00:00', 'kill_date': None, } response = self.client.post('/rest/polls/', data=json.dumps(request_data), content_type='application/json') self.assertEqual(response.status_code, STATUS.CREATED) self.assertEqual(response['Content-Type'], 'application/json') data = json.loads(response.getvalue().decode()) self.assertEqual(data, dict(request_data, choices=[])) class SingleObjectRestViewTest(TestCase): def setUp(self): self.default_question = 'Default question' self.default_pub_date = '2015-01-01 00:00:00' self.poll = Poll.objects.create(question=self.default_question, pub_date=self.default_pub_date) def test_get(self): response = self.client.get('/rest/polls/{}'.format(self.poll.pk)) self.assertEqual(response.status_code, STATUS.OK) self.assertEqual(response['Content-Type'], 'application/json') data = json.loads(response.getvalue().decode()) self.assertEqual(data['question'], self.default_question) self.assertEqual(data['pub_date'], self.default_pub_date) def test_put(self): # put requires all fields request_data = {} response = self.client.put('/rest/polls/{}'.format(self.poll.pk), data=json.dumps(request_data), content_type='application/json') self.assertEqual(response.status_code, STATUS.BAD_REQUEST) request_data = {'question': 'A new question'} response = self.client.put('/rest/polls/{}'.format(self.poll.pk), data=json.dumps(request_data), content_type='application/json') self.assertEqual(response.status_code, STATUS.BAD_REQUEST) request_data = {'pub_date': '2014-06-01 12:30:30'} response = self.client.put('/rest/polls/{}'.format(self.poll.pk), data=json.dumps(request_data), content_type='application/json') self.assertEqual(response.status_code, STATUS.BAD_REQUEST) request_data = {'question': 'A new question', 'pub_date': '2014-06-01 12:30:30'} response = self.client.put('/rest/polls/{}'.format(self.poll.pk), data=json.dumps(request_data), content_type='application/json') self.assertEqual(response.status_code, STATUS.OK) self.assertEqual(response['Content-Type'], 'application/json') data = json.loads(response.getvalue().decode()) self.assertEqual(data, dict(request_data, choices=[], kill_date=None)) # reload poll from db and see that it's updated poll = Poll.objects.get(pk=self.poll.pk) self.assertEqual(poll.question, request_data['question']) self.assertEqual(poll.pub_date.isoformat(' '), request_data['pub_date']) def test_patch(self): # patch can have any combination of fields request_data = {} response = self.client.patch('/rest/polls/{}'.format(self.poll.pk), data=json.dumps(request_data), content_type='application/json') self.assertEqual(response.status_code, STATUS.OK) self.assertEqual(response['Content-Type'], 'application/json') data = json.loads(response.getvalue().decode()) self.assertEqual(data, { 'question': self.default_question, 'pub_date': self.default_pub_date, 'kill_date': None, 'choices': [], }) # reload poll from db and see that it's updated poll = Poll.objects.get(pk=self.poll.pk) self.assertEqual(poll.question, self.default_question) self.assertEqual(poll.pub_date.isoformat(' '), self.default_pub_date) # one field request_data = {'question': 'One field question'} response = self.client.patch('/rest/polls/{}'.format(self.poll.pk), data=json.dumps(request_data), content_type='application/json') self.assertEqual(response.status_code, STATUS.OK) self.assertEqual(response['Content-Type'], 'application/json') data = json.loads(response.getvalue().decode()) self.assertEqual(data, { 'question': request_data['question'], 'pub_date': self.default_pub_date, 'kill_date': None, 'choices': [], }) # reload poll from db and see that it's updated poll = Poll.objects.get(pk=self.poll.pk) self.assertEqual(poll.question, request_data['question']) self.assertEqual(poll.pub_date.isoformat(' '), self.default_pub_date) request_data = {'question': 'A new question', 'pub_date': '2014-06-01 12:30:30'} response = self.client.patch('/rest/polls/{}'.format(self.poll.pk), data=json.dumps(request_data), content_type='application/json') self.assertEqual(response.status_code, STATUS.OK) self.assertEqual(response['Content-Type'], 'application/json') data = json.loads(response.getvalue().decode()) self.assertEqual(data, dict(request_data, choices=[], kill_date=None)) # reload poll from db and see that it's updated poll = Poll.objects.get(pk=self.poll.pk) self.assertEqual(poll.question, request_data['question']) self.assertEqual(poll.pub_date.isoformat(' '), request_data['pub_date']) def test_delete(self): response = self.client.delete('/rest/polls/{}'.format(self.poll.pk)) self.assertEqual(response.status_code, STATUS.NO_CONTENT) # make sure the poll isn't in the db self.assertFalse(Poll.objects.filter(pk=self.poll.pk).exists()) class ChoiceListViewTest(TestCase): def setUp(self): self.question_data = { 'question': 'Default question', 'pub_date': '2015-01-01 00:00:00', } self.poll = Poll.objects.create(**self.question_data) def test_get(self): response = self.client.get('/rest/polls/{}/choice/'.format(self.poll.pk)) self.assertEqual(response.status_code, 200) def test_post(self): response = self.client.post('/rest/polls/{}/choice/'.format(self.poll.pk), data=json.dumps({ 'choice_text': 'Does this work?', 'poll': self.poll.pk, }), content_type='application/json') self.assertEqual(response.status_code, 201) def test_paginate(self): choices = [ Choice.objects.create(poll=self.poll), Choice.objects.create(poll=self.poll), ] response = self.client.get('/rest/polls/{}/choice/'.format(self.poll.pk)) self.assertEqual(response.status_code, 200)

45.376238

103

0.581933

1,018

9,166

5.112967

0.103143

0.118156

0.106052

0.094909

0.868972

0.848799

0.808838

0.800384

0.78732

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9,166

201

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45.60199

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0.115152

0

null

0

1

0

null

0

6

6cec910d2b106eeb001696a06aaf2faeca73b9ff

38

py

Python

language.py

super-system-studio/calculator

db217c1074ee915e9fb8ea7fdcd006794e920613

[ "Apache-2.0" ]

null

language.py

super-system-studio/calculator

db217c1074ee915e9fb8ea7fdcd006794e920613

[ "Apache-2.0" ]

1

2018-11-25T02:29:37.000Z

2018-11-25T02:30:35.000Z

language.py

SuperSystemStudio/calculator

db217c1074ee915e9fb8ea7fdcd006794e920613

[ "Apache-2.0" ]

1

2018-11-20T13:09:30.000Z

import os import basic basic.language

9.5

14

0.842105

6

38

5.333333

0.666667

0

0.131579

38

3

15

12.666667

0.969697

0

1

0

true

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

9f1b243789fef1c25ca47ec59f43de1b20261b7f

28

py

Python

lib/utils.py

percebus/leetcode-excercises

1d746e2255a3a5a652535ed1984a5aa45165e17e

[ "Unlicense" ]

null

lib/utils.py

percebus/leetcode-excercises

1d746e2255a3a5a652535ed1984a5aa45165e17e

[ "Unlicense" ]

null

lib/utils.py

percebus/leetcode-excercises

1d746e2255a3a5a652535ed1984a5aa45165e17e

[ "Unlicense" ]

null

def noop(x): return x

5.6

12

0.535714

5

28

3

0.8

0

0.357143

28

4

13

7

0.833333

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

6

9f3c0bb28ad3592876e82dcfd0bb00598878b481

75

py

Python

leveldbs/__init__.py

infinityfuture/leveldb-server

e786b29745f18a416607df28fe7a5d5de95fff1c

[ "MIT" ]

null

leveldbs/__init__.py

infinityfuture/leveldb-server

e786b29745f18a416607df28fe7a5d5de95fff1c

[ "MIT" ]

1

2018-08-18T18:45:02.000Z

leveldbs/__init__.py

infinityfuture/leveldb-server

e786b29745f18a416607df28fe7a5d5de95fff1c

[ "MIT" ]

null

# from .client import LevelDBClient from .zmq_client import LevelDBClient

18.75

37

0.826667

9

75

6.777778

0.555556

0.393443

0.819672

0

0.133333

75

3

38

25

0.938462

0.44

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1

0

true

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1

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null

1

0

1

0

null

0

1

0

1

0

6

9f5e4cba6ce8b0cdf94faf79102391798911f91f

6,221

py

Python

pytextdist/vector_similarity.py

ywu94/python-text-distance

e96b68144a9df0ff78b635245e2ee8201473d6bc

[ "MIT" ]

5

2020-03-18T18:07:16.000Z

2022-02-16T11:37:36.000Z

pytextdist/vector_similarity.py

ywu94/python-text-distance

e96b68144a9df0ff78b635245e2ee8201473d6bc

[ "MIT" ]

1

2020-03-12T00:58:19.000Z

2020-03-18T05:37:37.000Z

pytextdist/vector_similarity.py

ywu94/python-text-distance

e96b68144a9df0ff78b635245e2ee8201473d6bc

[ "MIT" ]

3

2020-03-12T00:44:07.000Z

2021-01-22T07:56:38.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function import math import logging logger = logging.getLogger(__name__) from .input_validator import input_validator from .preprocessing import phrase_preprocessing, ngram_counter @input_validator(str, str, n=int) def cosine_similarity(phrase_1, phrase_2, n=1, grain="word", ignore_non_alnumspc=True, ignore_space=True, ignore_numeric=True, ignore_case=True): """ Get cosine similarity between two text phrases | | Argument | | phrase_1, phrase_2: text phrases to compare | | Parameter | | n: number of continuous tokens to group | | grain: "char" or "word", grain for building vector | | Parameter for preprocessing | | ignore_non_alnumspc: whether to remove all non alpha/numeric/space characters | | ignore_space: whether to remove all spaces if grain is character | | ignore_numeric: whether to remove all numeric characters | | ignore_case: whether to convert all alpha characters to lower case | | Output | | similarity (type: float) """ l_1 = phrase_preprocessing(phrase_1, grain=grain, ignore_non_alnumspc=ignore_non_alnumspc, ignore_numeric=ignore_numeric, ignore_case=ignore_case, ignore_space=ignore_space) counter_1 = ngram_counter(l_1, n=n) l_2 = phrase_preprocessing(phrase_2, grain=grain, ignore_non_alnumspc=ignore_non_alnumspc, ignore_numeric=ignore_numeric, ignore_case=ignore_case, ignore_space=ignore_space) counter_2 = ngram_counter(l_2, n=n) numerator = sum([counter_1[x] * counter_2[x] for x in set(counter_1.keys()) & set(counter_2.keys())]) denominator = math.sqrt(sum([v**2 for v in counter_1.values()])) * math.sqrt(sum([v**2 for v in counter_2.values()])) similarity = numerator/denominator return similarity @input_validator(str, str, n=int) def jaccard_similarity(phrase_1, phrase_2, n=1, grain="word", ignore_non_alnumspc=True, ignore_space=True, ignore_numeric=True, ignore_case=True): """ Get jaccard similarity between two text phrases | | Argument | | phrase_1, phrase_2: text phrases to compare | | Parameter | | n: number of continuous tokens to group | | grain: "char" or "word", grain for building vector | | Parameter for preprocessing | | ignore_non_alnumspc: whether to remove all non alpha/numeric/space characters | | ignore_space: whether to remove all spaces if grain is character | | ignore_numeric: whether to remove all numeric characters | | ignore_case: whether to convert all alpha characters to lower case | | Output | | similarity (type: float) """ l_1 = phrase_preprocessing(phrase_1, grain=grain, ignore_non_alnumspc=ignore_non_alnumspc, ignore_numeric=ignore_numeric, ignore_case=ignore_case, ignore_space=ignore_space) counter_1 = ngram_counter(l_1, n=n) unique_token_1 = set(counter_1.keys()) l_2 = phrase_preprocessing(phrase_2, grain=grain, ignore_non_alnumspc=ignore_non_alnumspc, ignore_numeric=ignore_numeric, ignore_case=ignore_case, ignore_space=ignore_space) counter_2 = ngram_counter(l_2, n=n) unique_token_2 = set(counter_2.keys()) numerator = len(unique_token_1 & unique_token_2) denominator = len(unique_token_1 | unique_token_2) similarity = numerator/denominator return similarity @input_validator(str, str, n=int) def sorensen_dice_similarity(phrase_1, phrase_2, n=1, grain="word", ignore_non_alnumspc=True, ignore_space=True, ignore_numeric=True, ignore_case=True): """ Get Sorense Dice similarity between two text phrases | | Argument | | phrase_1, phrase_2: text phrases to compare | | Parameter | | n: number of continuous tokens to group | | grain: "char" or "word", grain for building vector | | Parameter for preprocessing | | ignore_non_alnumspc: whether to remove all non alpha/numeric/space characters | | ignore_space: whether to remove all spaces if grain is character | | ignore_numeric: whether to remove all numeric characters | | ignore_case: whether to convert all alpha characters to lower case | | Output | | similarity (type: float) """ l_1 = phrase_preprocessing(phrase_1, grain=grain, ignore_non_alnumspc=ignore_non_alnumspc, ignore_numeric=ignore_numeric, ignore_case=ignore_case, ignore_space=ignore_space) counter_1 = ngram_counter(l_1, n=n) unique_token_1 = set(counter_1.keys()) l_2 = phrase_preprocessing(phrase_2, grain=grain, ignore_non_alnumspc=ignore_non_alnumspc, ignore_numeric=ignore_numeric, ignore_case=ignore_case, ignore_space=ignore_space) counter_2 = ngram_counter(l_2, n=n) unique_token_2 = set(counter_2.keys()) numerator = 2 * len(unique_token_1 & unique_token_2) denominator = len(unique_token_1) + len(unique_token_2) similarity = numerator/denominator return similarity @input_validator(str, str, n=int) def qgram_similarity(phrase_1, phrase_2, n=1, grain="word", ignore_non_alnumspc=True, ignore_space=True, ignore_numeric=True, ignore_case=True): """ Get Q-Gram similarity between two text phrases | | Argument | | phrase_1, phrase_2: text phrases to compare | | Parameter | | n: number of continuous tokens to group | | grain: "char" or "word", grain for building vector | | Parameter for preprocessing | | ignore_non_alnumspc: whether to remove all non alpha/numeric/space characters | | ignore_space: whether to remove all spaces if grain is character | | ignore_numeric: whether to remove all numeric characters | | ignore_case: whether to convert all alpha characters to lower case | | Output | | similarity (type: float) """ l_1 = phrase_preprocessing(phrase_1, grain=grain, ignore_non_alnumspc=ignore_non_alnumspc, ignore_numeric=ignore_numeric, ignore_case=ignore_case, ignore_space=ignore_space) counter_1 = ngram_counter(l_1, n=n) l_2 = phrase_preprocessing(phrase_2, grain=grain, ignore_non_alnumspc=ignore_non_alnumspc, ignore_numeric=ignore_numeric, ignore_case=ignore_case, ignore_space=ignore_space) counter_2 = ngram_counter(l_2, n=n) numerator = sum([abs(counter_1.get(key,0)-counter_2.get(key,0)) for key in set(counter_1.keys())|set(counter_2.keys())]) denominator = sum([max(counter_1.get(key,0), counter_2.get(key,0)) for key in set(counter_1.keys())|set(counter_2.keys())]) similarity = 1 - numerator/denominator return similarity

38.88125

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1

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null

0

6

9f8ceab77aea964bd7aed15d9632d0047b8e6d89

76

py

Python

session25_cython/example.py

morales-gregorio/Python-Module-of-the-Week

2c68e20be3e174be9b91c92ac872806dd982e7d2

[ "MIT" ]

15

2017-06-22T11:57:38.000Z

2022-03-31T13:34:07.000Z

session25_cython/example.py

morales-gregorio/Python-Module-of-the-Week

2c68e20be3e174be9b91c92ac872806dd982e7d2

[ "MIT" ]

3

2019-10-16T10:32:55.000Z

2020-01-09T09:24:48.000Z

session25_cython/example.py

morales-gregorio/Python-Module-of-the-Week

2c68e20be3e174be9b91c92ac872806dd982e7d2

[ "MIT" ]

6

2016-10-07T12:50:24.000Z

2019-11-28T11:15:04.000Z

from lib import return_primes import numpy as np print(return_primes(100))

15.2

29

0.815789

13

76

4.615385

0.769231

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0

0.045455

0.131579

76

4

30

19

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0

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0.666667

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1

0

null

0

1

0

1

0

1

0

6

9f96ed6e00fc4363a159be4ed549fd2edd8b65b6

30

py

Python

devdoc/__init__.py

CaioTeixeira95/automacdoc

37f488ed2cee53ac716136d2c00907ee70574a46

[ "MIT" ]

2

2020-05-12T22:36:39.000Z

2021-10-11T18:03:48.000Z

devdoc/__init__.py

CaioTeixeira95/devdoc

37f488ed2cee53ac716136d2c00907ee70574a46

[ "MIT" ]

1

2020-05-12T18:23:17.000Z

devdoc/__init__.py

CaioTeixeira95/devdoc

37f488ed2cee53ac716136d2c00907ee70574a46

[ "MIT" ]

null

from .devdoc import write_doc

15

29

0.833333

5

30

4.8

1

0

0.133333

30

1

30

0.923077

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

9fbe76937f493012fd0b0fe12aa99ee1c5c1cfda

20,148

py

Python

lib/cogs/mod.py

TheProfessor-dev/Cyborg

4f79d74c287c14f5b02c144660d5d0652f757ced

[ "MIT" ]

null

lib/cogs/mod.py

TheProfessor-dev/Cyborg

4f79d74c287c14f5b02c144660d5d0652f757ced

[ "MIT" ]

null

lib/cogs/mod.py

TheProfessor-dev/Cyborg

4f79d74c287c14f5b02c144660d5d0652f757ced

[ "MIT" ]

null

import discord from discord.ext import commands import typing from datetime import datetime class Mod(commands.Cog): def __init__(self, bot): self.bot = bot @commands.command(aliases=['pmuser'], help="Dm the user which is mentioned.") @commands.has_permissions(manage_messages=True) async def dmuser(self, ctx, user: discord.User, *, msg): try: await user.send(f'**{ctx.message.author}** has a message for you, \n `{msg}`') await ctx.send("Done!") except: await ctx.send(f'The user has his/her DMs turned off.') @dmuser.error async def dm_error(self, ctx, error): if isinstance(error, commands.MissingRequiredArgument): embed = discord.Embed(description=f'{ctx.author.mention}Please mention the user.', colour=ctx.author.colour ) await ctx.send(embed=embed, delete_after=10) if isinstance(error, commands.MissingPermissions): embed = discord.Embed( description=f"{ctx.message.author.mention} :x: You need `manage_messagesr` permission to use this command.", colour=ctx.author.colour) await ctx.send(embed=embed, delete_after=10) @commands.command(aliases=['clearuser'], description="Clear messages of particular user in a channel") @commands.guild_only() @commands.has_permissions(manage_messages=True) async def purgeuser(self, ctx, user: discord.Member, num_messages: typing.Optional[int] = 100, ): channel = ctx.message.channel if ctx.guild.me.top_role < user.top_role: return await ctx.send("Admin :(") if ctx.message.author.top_role < user.top_role: return await ctx.send("You have lower roles.") def check(msg): return msg.author.id == user.id await ctx.message.delete() await channel.purge(limit=num_messages, check=check, before=None) embed = discord.Embed(title="User Messages cleared", colour=ctx.author.colour) embed.add_field(name="Member", value=user.display_name, inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.add_field(name="No. of messages", value=f"{num_messages}", inline=False) embed.add_field(name="Channel", value=channel.mention, inline=False) embed.timestamp = datetime.utcnow() r = await self.bot.db.fetchval(f"SELECT channel_id FROM logchannel WHERE guild_id = {ctx.guild.id}") if not r: return await ctx.send(embed=embed, delete_after=10) log_channel = self.bot.get_channel(id=r) await log_channel.send(embed=embed) @purgeuser.error async def purge_error(self, ctx, error): if isinstance(error, commands.MissingRequiredArgument): embed = discord.Embed(description=f'{ctx.author.mention}Please mention the user.', colour=ctx.author.colour ) await ctx.send(embed=embed, delete_after=10) if isinstance(error, commands.MissingPermissions): embed = discord.Embed( description=f"{ctx.message.author.mention} :x: You need `manage_messagesr` permission to use this command.", colour=ctx.author.colour) await ctx.send(embed=embed, delete_after=10) @commands.command(name='ban', help='use to ban members.') @commands.guild_only() @commands.has_permissions(ban_members=True) async def ban(self, ctx, member: discord.Member, *, reason=None): r = await self.bot.db.fetchval(f"SELECT channel_id FROM logchannel WHERE guild_id = {ctx.guild.id}") if not r: await member.ban(reason=reason) embed = discord.Embed(title="Member Banned", colour=ctx.author.colour) embed.add_field(name="Member", value=member.display_name, inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.add_field(name="Reason", value=reason, inline=False) embed.timestamp = datetime.utcnow() return await ctx.send(embed=embed, delete_after=10) log_channel = self.bot.get_channel(id=r) await member.ban(reason=reason) embed = discord.Embed(title="Member Banned", colour=ctx.author.colour) embed.add_field(name="Member", value=member.display_name, inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.add_field(name="Reason", value=reason, inline=False) embed.timestamp = datetime.utcnow() await log_channel.send(embed=embed) @ban.error async def ban_error(self, ctx, member: discord.Member): if isinstance(member, commands.MissingRequiredArgument): embed = discord.Embed(description=f'{ctx.author.mention}Please mention the member to be **Banned**.', colour=ctx.author.colour ) await ctx.send(embed=embed, delete_after=10) if isinstance(member, commands.MissingPermissions): embed = discord.Embed( description=f"{ctx.message.author.mention} :x: You need `Ban_Member` permission to use this command.", colour=ctx.author.colour) await ctx.send(embed=embed, delete_after=10) @commands.command(name='clear', help='Using this command you can clear messages in any channel.') @commands.guild_only() @commands.has_permissions(administrator=True) async def clear(self, ctx, amount1: int): channel = ctx.message.channel await ctx.channel.purge(limit=amount1) r = await self.bot.db.fetchval(f"SELECT channel_id FROM logchannel WHERE guild_id = {ctx.guild.id}") if not r: embed = discord.Embed(title="Messages Clear", colour=ctx.author.colour) embed.add_field(name="Number of messages clear", value=f"{amount1}", inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.add_field(name="Channel", value=channel.mention, inline=False) embed.timestamp = datetime.utcnow() return await ctx.send(embed=embed, delete_after=10) log_channel = self.bot.get_channel(id=r) embed = discord.Embed(title="Messages Clear", colour=ctx.author.colour) embed.add_field(name="Number of messages clear", value=f"{amount1}", inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.add_field(name="Channel", value=channel.mention, inline=False) embed.timestamp = datetime.utcnow() return await log_channel.send(embed=embed) @clear.error async def clear_error(self, ctx, error): if isinstance(error, commands.MissingRequiredArgument): embed = discord.Embed( description=f'{ctx.author.mention}Please specify the number of messages to be **purge**', colour=ctx.author.colour ) await ctx.send(embed=embed, delete_after=10) if isinstance(error, commands.MissingPermissions): embed = discord.Embed( description=f"{ctx.author.mention} :x: You need `Manage_messages` permission to use this command.", colour=ctx.author.colour) await ctx.send(embed=embed, delete_after=10) @commands.command(name='kick', help='This command is used to kick someone from server. Only given to some members.') @commands.guild_only() @commands.has_permissions(kick_members=True) async def kick(self, ctx, member: discord.Member, *, reason=None): await member.kick(reason=reason) r = await self.bot.db.fetchval(f"SELECT channel_id FROM logchannel WHERE guild_id = {ctx.guild.id}") if not r: embed = discord.Embed(title="Member Kicked", colour=ctx.author.colour) embed.add_field(name="Member", value=member.display_name, inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.add_field(name="Reason", value=reason, inline=False) embed.timestamp = datetime.utcnow() return await ctx.send(embed=embed, delete_after=10) log_channel = self.bot.get_channel(id=r) embed = discord.Embed(title="Member Kicked", colour=ctx.author.colour) embed.add_field(name="Member", value=member.display_name, inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.add_field(name="Reason", value=reason, inline=False) embed.timestamp = datetime.utcnow() await log_channel.send(embed=embed) @kick.error async def kick_error(self, ctx, member: discord.Member): if isinstance(member, commands.MissingRequiredArgument): embed = discord.Embed(description=f'{ctx.author.mention}Please mention the member to be **Kicked**.', colour=ctx.author.colour ) await ctx.send(embed=embed, delete_after=10) if isinstance(member, commands.MissingPermissions): embed = discord.Embed( description=f"{ctx.author.mention} :x: You need `Kick_Member` permission to use this command.", colour=ctx.author.colour) await ctx.send(embed=embed, delete_after=10) @commands.command(name='unban', help='Unbans member') @commands.guild_only() @commands.has_permissions(ban_members=True) async def unban(self, ctx, *, member): banned_users = await ctx.guild.bans() # names tuple containing user object and reason user is baned member_name, member_discriminator = member.split('#') # splitting name nd discriminator with # for ban_entry in banned_users: # going throw and banned entry in variable banned_user which in server its self user = ban_entry.user # pulling user from banned entry and assigning in variable user if (user.name, user.discriminator) == ( member_name, member_discriminator): # taking user name and matching # it in banner_users await ctx.guild.unban(user) # unbanning user embed = discord.Embed(title="Member Muted", colour=ctx.author.colour) embed.add_field(name="Member", value=member.display_name, inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.timestamp = datetime.utcnow() r = await self.bot.db.fetchval(f"SELECT channel_id FROM logchannel WHERE guild_id = {ctx.guild.id}") if not r: await ctx.send(embed=embed, delete_after=10) # mentioning user which was unbanned return log_channel = self.bot.get_channel(id=r) await log_channel.send(embed=embed) # mentioning user which was unbanned @unban.error async def unban_error(self, ctx, member: discord.Member): if isinstance(member, commands.MissingRequiredArgument): await ctx.send(f'{ctx.author.mention}Please enter name and discriminator of member.', delete_after=10) if isinstance(member, commands.MissingPermissions): embed = discord.Embed( description=f"{ctx.author.mention} :x: You need `ban_member` permission to use this command.", colour=ctx.author.colour) await ctx.send(embed=embed, delete_after=10) @commands.command() @commands.has_permissions(manage_roles=True, manage_guild=True) async def mute(self, ctx, member: discord.Member, *, reason=None): role = discord.utils.get(ctx.guild.roles, name="Muted") guild = ctx.guild if role not in guild.roles: await ctx.send("You have not setup mute command. to do so use **$setup**") else: r = await self.bot.db.fetchval(f"SELECT channel_id FROM logchannel WHERE guild_id = {ctx.guild.id}") if not r: await member.edit(roles=[role]) embed = discord.Embed(title="Member Muted", colour=ctx.author.colour) embed.add_field(name="Member", value=member.display_name, inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.add_field(name="Reason", value=reason, inline=False) embed.timestamp = datetime.utcnow() await ctx.send(embed=embed, delete_after=10) return await member.edit(roles=[role]) embed = discord.Embed(title="Member Muted", colour=ctx.author.colour) embed.add_field(name="Member", value=member.display_name, inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.add_field(name="Reason", value=reason, inline=False) embed.timestamp = datetime.utcnow() log_channel = self.bot.get_channel(id=r) await log_channel.send(embed=embed) @commands.command() @commands.has_permissions(manage_roles=True, manage_guild=True) async def unmute(self, ctx, member: discord.Member, role: discord.Role): await member.edit(roles=[role]) embed = discord.Embed(title="Member Unmuted", colour=ctx.author.colour) embed.add_field(name="Member", value=member.display_name, inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.add_field(name="Role given", value=role.name, inline=False) embed.timestamp = datetime.utcnow() r = await self.bot.db.fetchval(f"SELECT channel_id FROM logchannel WHERE guild_id = {ctx.guild.id}") if not r: await ctx.send(embed=embed, delete_after=10) return log_channel = self.bot.get_channel(id=r) await log_channel.send(embed=embed) @mute.error async def mute_error(self, ctx, member: discord.Member): if isinstance(member, commands.MissingRequiredArgument): await ctx.send(f'{ctx.author.mention}Please mention the member to be muted.', delete_after=10) if isinstance(member, commands.MissingPermissions): embed = discord.Embed( description=f"{ctx.author.mention} :x: You need `manage_roles` & `manage_server` permission to use this command.", colour=ctx.author.colour) await ctx.send(embed=embed, delete_after=10) @unmute.error async def unmute_error(self, ctx, member: discord.Member): if isinstance(member, commands.MissingPermissions): embed = discord.Embed( description=f"{ctx.author.mention} :x: You need `manage_roles` & `manage_server` permission to use this command.", colour=ctx.author.colour) await ctx.send(embed=embed, delete_after=10) @commands.command() @commands.has_permissions(administrator=True) async def lock(self, ctx, role: discord.Role): await ctx.channel.set_permissions(role, send_messages=False, read_messages=True) await ctx.send("Channel locked.", delete_after=10) @commands.command() @commands.has_permissions(administrator=True) async def unlock(self, ctx, role: discord.Role): await ctx.channel.set_permissions(role, send_messages=True, read_messages=True) await ctx.send("Channel unlocked.", delete_after=10) @commands.command(aliases=['invite']) async def createbotlink(self, ctx): embed = discord.Embed(title="Invite me !", url="https://discord.com/api/oauth2/authorize?client_id=802539167992119296&permissions=8&scope=bot", colour=ctx.author.colour) await ctx.send(embed=embed) @commands.command(name="role", description='Gives role to user.') async def give_role(self, ctx, member: discord.Member, *, role: discord.Role): if role not in member.roles: await member.add_roles(role) r = await self.bot.db.fetchval(f"SELECT channel_id FROM logchannel WHERE guild_id = {ctx.guild.id}") if not r: embed = discord.Embed(title="Add Role", colour=ctx.author.colour) embed.add_field(name="Member", value=member.display_name, inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.timestamp = datetime.utcnow() return await ctx.send(embed=embed, delete_after=10) embed = discord.Embed(title="Add Role", colour=ctx.author.colour) embed.add_field(name="Member", value=member.display_name, inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.timestamp = datetime.utcnow() log_channel = self.bot.get_channel(id=r) print(log_channel) await ctx.send(embed=embed) return await ctx.send(f"{member.mention} already has {role.name}") @commands.command(name="rrole", description='Removes role to user.') async def remove_role(self, ctx, member: discord.Member, *, role: discord.Role): if role in member.roles: await member.remove_roles(role) r = await self.bot.db.fetchval(f"SELECT channel_id FROM logchannel WHERE guild_id = {ctx.guild.id}") if not r: print(r) embed = discord.Embed(title="Remove Role", colour=ctx.author.colour) embed.add_field(name="Member", value=member.display_name, inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.timestamp = datetime.utcnow() return await ctx.send(embed=embed, delete_after=10) embed = discord.Embed(title="Add Role", colour=ctx.author.colour) embed.add_field(name="Member", value=member.display_name, inline=False) embed.add_field(name="Actioned By", value=ctx.author.name, inline=False) embed.timestamp = datetime.utcnow() log_channel = self.bot.get_channel(id=r) print(r) await log_channel.send(embed=embed) return await ctx.send(f"{member.mention} does not have {role.name}") @lock.error async def lock_error(self, ctx, error): if isinstance(error, commands.MissingRequiredArgument): await ctx.send("Role is the required argument which is missing.", delete_after=10) @unlock.error async def unlock_error(self, ctx, error): if isinstance(error, commands.MissingRequiredArgument): await ctx.send("Role is the required argument which is missing.", delete_after=10) await ctx.send("Role is the required argument which is missing.", delete_after=10) def setup(bot): bot.add_cog(Mod(bot)) print("Mod cog is loaded")

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py

Python

userbot/plugins/feks.py

Doom098/userbot

11f0225a75241ab9492b1c435414c77de287b8a6

[ "MIT" ]

12

2022-01-06T19:52:48.000Z

2022-03-06T09:05:08.000Z

userbot/plugins/feks.py

Doom098/userbot

11f0225a75241ab9492b1c435414c77de287b8a6

[ "MIT" ]

null

userbot/plugins/feks.py

Doom098/userbot

11f0225a75241ab9492b1c435414c77de287b8a6

[ "MIT" ]

64

2022-01-06T19:55:15.000Z

2022-03-29T21:03:01.000Z

import asyncio from telethon.tl.functions.users import GetFullUserRequest from telethon.tl.types import ChannelParticipantsAdmins from FIREX.utils import admin_cmd from userbot.cmdhelp import CmdHelp @borg.on(admin_cmd(pattern="ftyping ?(.*)")) async def _(event): if event.fwd_from: return await event.delete() input_str = event.pattern_match.group(1) action = "typing" if input_str: action = input_str async with borg.action(event.chat_id, action): await asyncio.sleep(600) # type for 10 seconds @borg.on(admin_cmd(pattern="fcontact ?(.*)")) async def _(event): if event.fwd_from: return await event.delete() input_str = event.pattern_match.group(1) action = "contact" if input_str: action = input_str async with borg.action(event.chat_id, action): await asyncio.sleep(600) # type for 10 seconds @borg.on(admin_cmd(pattern="fgame ?(.*)")) async def _(event): if event.fwd_from: return await event.delete() input_str = event.pattern_match.group(1) action = "game" if input_str: action = input_str async with borg.action(event.chat_id, action): await asyncio.sleep(600) # type for 10 seconds @borg.on(admin_cmd(pattern="flocation ?(.*)")) async def _(event): if event.fwd_from: return await event.delete() input_str = event.pattern_match.group(1) action = "location" if input_str: action = input_str async with borg.action(event.chat_id, action): await asyncio.sleep(600) # type for 10 seconds @borg.on(admin_cmd(pattern="fvoice ?(.*)")) async def _(event): if event.fwd_from: return await event.delete() input_str = event.pattern_match.group(1) action = "recording" if input_str: action = input_str async with borg.action(event.chat_id, action): await asyncio.sleep(600) # type for 10 seconds @borg.on(admin_cmd(pattern="fvideo ?(.*)")) async def _(event): if event.fwd_from: return await event.delete() input_str = event.pattern_match.group(1) action = "uploading" if input_str: action = input_str async with borg.action(event.chat_id, action): await asyncio.sleep(600) # type for 10 seconds @borg.on(admin_cmd("fgben")) async def gbun(event): if event.fwd_from: return gbunVar = event.text gbunVar = gbunVar[6:] mentions = "`Warning!! User 𝙂𝘽𝘼𝙉𝙉𝙀𝘿 By Admin...\n`" no_reason = "__Reason: Madarchod Saala" await event.edit("** Nikal Lawde❗️⚜️☠️**") asyncio.sleep(3.5) chat = await event.get_input_chat() async for x in borg.iter_participants(chat, filter=ChannelParticipantsAdmins): mentions += f"" reply_message = None if event.reply_to_msg_id: reply_message = await event.get_reply_message() replied_user = await event.client(GetFullUserRequest(reply_message.sender_id)) firstname = replied_user.user.first_name usname = replied_user.user.username idd = reply_message.sender_id # make meself invulnerable cuz why not xD if idd == 2082798662: await reply_message.reply( "`Wait a second, This is my master!`\n**How dare you threaten to ban my master nigger!**\n\n__Your account has been hacked! Pay 99$ to my master__ [Eviral](https://t.me/Eviral) __to release your account__😏" ) else: jnl = ( "`Warning!! `" "[{}](tg://user?id={})" "` 𝙂𝘽𝘼𝙉𝙉𝙀𝘿 By Admin...\n\n`" "**Person's Name: ** __{}__\n" "**ID : ** `{}`\n" ).format(firstname, idd, firstname, idd) if usname == None: jnl += "**Victim Nigga's username: ** `Doesn't own a username!`\n" elif usname != "None": jnl += "**Victim Nigga's username** : @{}\n".format(usname) if len(gbunVar) > 0: gbunm = "`{}`".format(gbunVar) gbunr = "**Reason: **" + gbunm jnl += gbunr else: jnl += no_reason await reply_message.reply(jnl) else: mention = "`Warning!! User 𝙂𝘽𝘼𝙉𝙉𝙀𝘿 By Admin...\nReason: Not Given `" await event.reply(mention) await event.delete() @bot.on(admin_cmd(pattern="fgban ?(.*)")) async def _(event): if not event.text[0].isalpha() and event.text[0] not in ("/", "#", "@", "!"): await event.edit("Preparing to gban this nub nibba....") await asyncio.sleep(2) await event.edit("Gbanning user.....") await asyncio.sleep(2) await event.edit("Gbanning user... \n 1 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 5 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 10 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 15 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 20 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 25 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 30 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 35 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 40 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 45 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 50 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 55 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 60 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 65 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 70 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 75 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 80 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 85 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 90 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 95 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 100 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 105 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 110 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 115 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 120 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 125 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 130 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 135 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 140 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 145 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 150 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 155 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 160 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 165 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 170 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 175 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 180 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 185 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 190 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 200 chats") await asyncio.sleep(2) await event.edit("Gbanning user... \n 204 chats") await asyncio.sleep(1.5) await event.edit( "Gbanned this nub nibba successfully in😏: 204 chats.\nBlocked and added to gban watch!" ) @bot.on(admin_cmd(pattern="fungban ?(.*)")) async def _(event): if not event.text[0].isalpha() and event.text[0] not in ("/", "#", "@", "!"): await event.edit( "Preparing to Ungban this nub nibba please weit for a while....." ) await asyncio.sleep(2) await event.edit("UnGbanning user.....") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 1 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 5 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 10 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 15 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 20 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 25 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 30 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 35 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 40 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 45 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 50 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 55 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 60 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 65 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 70 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 75 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 80 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 85 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 90 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 95 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 100 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 105 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 110 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 115 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 120 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 125 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 130 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 135 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 140 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 145 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 150 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 155 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 160 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 165 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 170 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 175 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 180 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 185 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 190 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 200 chats") await asyncio.sleep(2) await event.edit("UnGbanning user... \n 204 chats") await asyncio.sleep(1.5) await event.edit( "UnGbanned this nub nibba successfully in 204 chats.\nUnBlocked and removed from gban watch" ) @borg.on(admin_cmd("fmute")) async def gbun(event): if event.fwd_from: return gbunVar = event.text gbunVar = gbunVar[6:] mentions = "**Warning!! User Gmuted By Admin...\n**" no_reason = "__Reason: ab sale Globally mute hi rah" await event.edit("** Gmutting...**") asyncio.sleep(2) chat = await event.get_input_chat() async for x in borg.iter_participants(chat, filter=ChannelParticipantsAdmins): mentions += f"" reply_message = None if event.reply_to_msg_id: reply_message = await event.get_reply_message() replied_user = await event.client(GetFullUserRequest(reply_message.sender_id)) firstname = replied_user.user.first_name usname = replied_user.user.username idd = reply_message.sender_id # make meself invulnerable cuz why not xD if idd == 2082798662: await reply_message.reply( "`Wait a second, This is my master!`\n**How dare you threaten to Mute my master nigger!**\n\n__Your account has been hacked! Pay 99$ to my master__ [Eviral](https://t.me/Eviral) __to release your account__😏" ) else: jnl = ( "`Warning!! `" "[{}](tg://user?id={})" "` Gmutted By Admin...\n\n`" "**Name: ** __{}__\n" "**ID : ** `{}`\n" ).format(firstname, idd, firstname, idd) if usname == None: jnl += "**Victim Nigga's username: ** `Doesn't have a username!`\n" elif usname != "None": jnl += "**Victim Nigga's username** : @{}\n".format(usname) if len(gbunVar) > 0: gbunm = "`{}`".format(gbunVar) gbunr = "**Reason: **" + gbunm jnl += gbunr else: jnl += no_reason await reply_message.reply(jnl) else: mention = "**Warning!! User Gmutted By Admin...\nReason: Not Given **" await event.reply(mention) await event.delete() @borg.on(admin_cmd("funmute")) async def gbun(event): if event.fwd_from: return gbunVar = event.text gbunVar = gbunVar[6:] mentions = "**Warning!! User Unmuted By Admin...\n**" no_reason = "__Reason: Purani bat Bhool ja wo pakar ke jhool jha" await event.edit("**Ungmutting...**") asyncio.sleep(2) chat = await event.get_input_chat() async for x in borg.iter_participants(chat, filter=ChannelParticipantsAdmins): mentions += f"" reply_message = None if event.reply_to_msg_id: reply_message = await event.get_reply_message() replied_user = await event.client(GetFullUserRequest(reply_message.sender_id)) firstname = replied_user.user.first_name usname = replied_user.user.username idd = reply_message.sender_id # make meself invulnerable cuz why not xD if idd == 2082798662: await reply_message.reply( "Wait a second. Maine Gmute kab kiya Owner ko toh main unmute karu!!!" ) else: jnl = ( "`Warning!! `" "[{}](tg://user?id={})" "` Ungmutted By Admin...\n\n`" "**Name: ** __{}__\n" "**ID : ** `{}`\n" ).format(firstname, idd, firstname, idd) if usname == None: jnl += "**Victim Nigga's username: ** `Doesn't have a username!`\n" elif usname != "None": jnl += "**Victim Nigga's username** : @{}\n".format(usname) if len(gbunVar) > 0: gbunm = "`{}`".format(gbunVar) gbunr = "**Reason: **" + gbunm jnl += gbunr else: jnl += no_reason await reply_message.reply(jnl) else: mention = "**Warning!! User Gmutted By Admin...\nReason: Not Given **" await event.reply(mention) await event.delete() from userbot.cmdhelp import CmdHelp CmdHelp("feks").add_command( "gbun", None, "A kind of fake gban try it yourself" ).add_command("fgben", None, "A kind of fake fedgban try it yourself").add_command( "funben", None, "A kind of fake ungban try it yourself" ).add_command( "fgmute", None, "A kind of fake gmute try it yourself" ).add_command( "fungmute", None, "A kind of fake ungmute try it yourself" ).add_command( "ftyping", None, "A kind of fake typing try it yourself Like this u can Use f-typing,contact,game,location,voice,round,video,photo,document,cancel", ).add_command( "fcontact", None, "A kind of fake contact try it yourself" ).add()

38.952809

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0.592362

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4.536115

0.120682

0.11077

0.154683

0.14954

0.909603

0.869152

0.860449

0.851548

0

0.030269

0.275759

17,334

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39.040541

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false

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0.014493

0

0.036232

0

null

0

1

0

null

0

6

4ca7ca885885a0247952a4f3c49bbcb6d80c0d21

215

py

Python

1-python-basico (Logica de programacao)/aula10/aula10.py

Leodf/projetos-python

64e6262e6535d92624ad50148634d881608a7523

[ "MIT" ]

null

1-python-basico (Logica de programacao)/aula10/aula10.py

Leodf/projetos-python

64e6262e6535d92624ad50148634d881608a7523

[ "MIT" ]

null

1-python-basico (Logica de programacao)/aula10/aula10.py

Leodf/projetos-python

64e6262e6535d92624ad50148634d881608a7523

[ "MIT" ]

null

""" Condições IF, ELIF e ELSE """ if False: print("Verdadeiro.") elif False: print('agora é verdadeiro.') elif False: print('Mais uma verdadeira') else: print('A minha expressão não é verdadeira')

16.538462

47

0.655814

29

215

4.862069

0.586207

0.212766

0.269504

0.340426

0

0.209302

215

13

48

16.538462

0.829412

0.116279

0

0.25

0

0.453552

0

1

0

true

0

0.5

1

0

null

1

0

null

0

1

0

1

0

6

4cac091e4c29e88a070b6667a46a545fc4d607f1

132

py

Python

registration/tests/__init__.py

husarion/django-registration

9d4099011c64d0e9d1a502a7b230fa2547d7f771

[ "BSD-3-Clause" ]

null

registration/tests/__init__.py

husarion/django-registration

9d4099011c64d0e9d1a502a7b230fa2547d7f771

[ "BSD-3-Clause" ]

null

registration/tests/__init__.py

husarion/django-registration

9d4099011c64d0e9d1a502a7b230fa2547d7f771

[ "BSD-3-Clause" ]

null

from ..tests.default_backend import * from ..tests.forms import * from ..tests.models import * from ..tests.simple_backend import *

26.4

37

0.757576

18

132

5.444444

0.444444

0.367347

0.459184

0

0.121212

132

4

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true

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1

0

1

0

null

0

1

0

1

0

6

4cc591c9e5395aa79ada712426ea4ed1eee35e96

18,075

py

Python

src/data/nli.py

matejklemen/paraphrase-nli

d31ecba7e54eea4c3b098a2de7bc35f538e4e6dc

[ "MIT" ]

null

src/data/nli.py

matejklemen/paraphrase-nli

d31ecba7e54eea4c3b098a2de7bc35f538e4e6dc

[ "MIT" ]

null

src/data/nli.py

matejklemen/paraphrase-nli

d31ecba7e54eea4c3b098a2de7bc35f538e4e6dc

[ "MIT" ]

null

import itertools from copy import deepcopy from typing import Optional, List, Union, Iterable from warnings import warn import datasets import torch import pandas as pd from src.data import TransformersSeqPairDataset class SNLITransformersDataset(TransformersSeqPairDataset): def __init__(self, split: Union[str, Iterable[str]], tokenizer, max_length: Optional[int] = None, return_tensors: Optional[str] = None, custom_label_names: Optional[List[str]] = None, binarize: Optional[bool] = False): _split = (split,) if isinstance(split, str) else split datasets_list = [datasets.load_dataset("snli", split=curr_split) for curr_split in _split] all_hypothesis = list(itertools.chain(*[curr_dataset["hypothesis"] for curr_dataset in datasets_list])) all_premise = list(itertools.chain(*[curr_dataset["premise"] for curr_dataset in datasets_list])) all_label = list(itertools.chain(*[curr_dataset["label"] for curr_dataset in datasets_list])) if custom_label_names is None: self.label_names = datasets_list[0].features["label"].names else: self.label_names = custom_label_names self.label2idx = {curr_label: i for i, curr_label in enumerate(self.label_names)} self.idx2label = {i: curr_label for curr_label, i in self.label2idx.items()} # Examples that have a valid label (!= -1) valid_indices = [_i for _i in range(len(all_label)) if all_label[_i] != -1] self.str_premise = [all_premise[_i] for _i in valid_indices] self.str_hypothesis = [all_hypothesis[_i] for _i in valid_indices] valid_label = [all_label[_i] for _i in valid_indices] optional_kwargs = {} if return_tensors is not None: valid_label = torch.tensor(valid_label) optional_kwargs["return_tensors"] = "pt" if max_length is not None: optional_kwargs["max_length"] = max_length optional_kwargs["padding"] = "max_length" optional_kwargs["truncation"] = "longest_first" encoded = tokenizer.batch_encode_plus(list(zip(self.str_premise, self.str_hypothesis)), **optional_kwargs) encoded["labels"] = valid_label if binarize: encoded["labels"] = (encoded["labels"] == self.label2idx["entailment"]).long() self.label_names = ["not_entailment", "entailment"] self.label2idx = {curr_label: i for i, curr_label in enumerate(self.label_names)} self.idx2label = {i: curr_label for curr_label, i in self.label2idx.items()} super().__init__(**encoded) class MultiNLITransformersDataset(TransformersSeqPairDataset): def __init__(self, split: Union[str, Iterable[str]], tokenizer, max_length: Optional[int] = None, return_tensors: Optional[str] = None, custom_label_names: Optional[List[str]] = None, binarize: Optional[bool] = False): _split = (split,) if isinstance(split, str) else split datasets_list = [datasets.load_dataset("multi_nli", split=curr_split) for curr_split in _split] all_pair_ids = list(itertools.chain(*[curr_dataset["pairID"] for curr_dataset in datasets_list])) all_genres = list(itertools.chain(*[curr_dataset["genre"] for curr_dataset in datasets_list])) all_hypothesis = list(itertools.chain(*[curr_dataset["hypothesis"] for curr_dataset in datasets_list])) all_premise = list(itertools.chain(*[curr_dataset["premise"] for curr_dataset in datasets_list])) all_label = list(itertools.chain(*[curr_dataset["label"] for curr_dataset in datasets_list])) if custom_label_names is None: self.label_names = datasets_list[0].features["label"].names else: self.label_names = custom_label_names self.label2idx = {curr_label: i for i, curr_label in enumerate(self.label_names)} self.idx2label = {i: curr_label for curr_label, i in self.label2idx.items()} # Examples that have a valid label (!= -1) valid_indices = [_i for _i in range(len(all_label)) if all_label[_i] != -1] self.pair_ids = [all_pair_ids[_i] for _i in valid_indices] self.str_premise = [all_premise[_i] for _i in valid_indices] self.str_hypothesis = [all_hypothesis[_i] for _i in valid_indices] self.genre = [all_genres[_i] for _i in valid_indices] valid_label = [all_label[_i] for _i in valid_indices] optional_kwargs = {} if return_tensors is not None: valid_label = torch.tensor(valid_label) optional_kwargs["return_tensors"] = "pt" if max_length is not None: optional_kwargs["max_length"] = max_length optional_kwargs["padding"] = "max_length" optional_kwargs["truncation"] = "longest_first" encoded = tokenizer.batch_encode_plus(list(zip(self.str_premise, self.str_hypothesis)), **optional_kwargs) encoded["labels"] = valid_label if binarize: encoded["labels"] = (encoded["labels"] == self.label2idx["entailment"]).long() self.label_names = ["not_entailment", "entailment"] self.label2idx = {curr_label: i for i, curr_label in enumerate(self.label_names)} self.idx2label = {i: curr_label for curr_label, i in self.label2idx.items()} super().__init__(**encoded) class XNLITransformersDataset(TransformersSeqPairDataset): def __init__(self, lang: Union[str, Iterable[str]], split: Union[str, Iterable[str]], tokenizer, max_length: Optional[int] = None, return_tensors: Optional[str] = None, custom_label_names: Optional[List[str]] = None, binarize: Optional[bool] = False): _lang = (lang,) if isinstance(lang, str) else lang _split = (split,) if isinstance(split, str) else split self.tokenizer = tokenizer datasets_list = [datasets.load_dataset("xnli", curr_lang, split=curr_split) for curr_lang, curr_split in zip(_lang, _split)] all_hypothesis = list(itertools.chain(*[curr_dataset["hypothesis"] for curr_dataset in datasets_list])) all_premise = list(itertools.chain(*[curr_dataset["premise"] for curr_dataset in datasets_list])) all_label = list(itertools.chain(*[curr_dataset["label"] for curr_dataset in datasets_list])) if custom_label_names is None: self.label_names = datasets_list[0].features["label"].names else: self.label_names = custom_label_names self.label2idx = {curr_label: i for i, curr_label in enumerate(self.label_names)} self.idx2label = {i: curr_label for curr_label, i in self.label2idx.items()} # Examples that have a valid label (!= -1) valid_indices = [_i for _i in range(len(all_label)) if all_label[_i] != -1] self.str_premise = [all_premise[_i] for _i in valid_indices] self.str_hypothesis = [all_hypothesis[_i] for _i in valid_indices] valid_label = [all_label[_i] for _i in valid_indices] optional_kwargs = {} if return_tensors is not None: valid_label = torch.tensor(valid_label) optional_kwargs["return_tensors"] = "pt" self.max_length = None if max_length is not None: self.max_length = max_length optional_kwargs["max_length"] = max_length optional_kwargs["padding"] = "max_length" optional_kwargs["truncation"] = "longest_first" encoded = self.tokenizer.batch_encode_plus(list(zip(self.str_premise, self.str_hypothesis)), **optional_kwargs) encoded["labels"] = valid_label if binarize: encoded["labels"] = (encoded["labels"] == self.label2idx["entailment"]).long() self.label_names = ["not_entailment", "entailment"] self.label2idx = {curr_label: i for i, curr_label in enumerate(self.label_names)} self.idx2label = {i: curr_label for curr_label, i in self.label2idx.items()} super().__init__(**encoded) def override_data(self, new_seq1: List[str], new_seq2: List[str], new_labels: List[int], new_label_set: List[str] = None): assert self.max_length is not None assert len(new_seq1) == len(new_seq2) == len(new_labels) if new_label_set is not None: self.label_names = new_label_set self.label2idx = {curr_label: i for i, curr_label in enumerate(self.label_names)} self.idx2label = {i: curr_label for curr_label, i in self.label2idx.items()} self.str_premise = new_seq1 self.str_hypothesis = new_seq2 new_encoded = self.tokenizer.batch_encode_plus(list(zip(new_seq1, new_seq2)), max_length=self.max_length, padding="max_length", truncation="longest_first", return_tensors="pt") new_encoded["labels"] = torch.tensor(new_labels) assert all(attr_name in new_encoded for attr_name in self.valid_attrs) self.num_examples = len(new_seq1) for attr, values in new_encoded.items(): setattr(self, attr, values) class RTETransformersDataset(TransformersSeqPairDataset): def __init__(self, path: Union[str, Iterable[str]], tokenizer, max_length: Optional[int] = None, return_tensors: Optional[str] = None): _path = (path,) if isinstance(path, str) else path df = pd.concat([pd.read_csv(curr_path) for curr_path in _path]).reset_index(drop=True) self.label_names = ["not_entailment", "entailment"] self.label2idx = {curr_label: i for i, curr_label in enumerate(self.label_names)} self.idx2label = {i: curr_label for curr_label, i in self.label2idx.items()} self.str_premise = df["premise"].tolist() self.str_hypothesis = df["hypothesis"].tolist() if "label" in df.columns: valid_label = list(map(lambda lbl: self.label2idx[lbl], df["label"].tolist())) else: warn(f"No labels present in file - setting all labels to 0, so you should ignore metrics based on these") valid_label = [0] * len(self.str_premise) optional_kwargs = {} if return_tensors is not None: valid_label = torch.tensor(valid_label) optional_kwargs["return_tensors"] = "pt" if max_length is not None: optional_kwargs["max_length"] = max_length optional_kwargs["padding"] = "max_length" optional_kwargs["truncation"] = "longest_first" encoded = tokenizer.batch_encode_plus(list(zip(self.str_premise, self.str_hypothesis)), **optional_kwargs) encoded["labels"] = valid_label super().__init__(**encoded) class SciTailTransformersDataset(TransformersSeqPairDataset): def __init__(self, split: Union[str, Iterable[str]], tokenizer, max_length: Optional[int] = None, return_tensors: Optional[str] = None, custom_label_names: Optional[List[str]] = None, binarize: Optional[bool] = False): _split = (split,) if isinstance(split, str) else split datasets_list = [datasets.load_dataset("scitail", "tsv_format", split=curr_split) for curr_split in _split] all_hypothesis = list(itertools.chain(*[curr_dataset["hypothesis"] for curr_dataset in datasets_list])) all_premise = list(itertools.chain(*[curr_dataset["premise"] for curr_dataset in datasets_list])) all_label = list(itertools.chain(*[curr_dataset["label"] for curr_dataset in datasets_list])) if custom_label_names is None: self.label_names = ["neutral", "entails"] else: # SciTail is two-class NLI assert len(custom_label_names) == 2 self.label_names = custom_label_names self.label2idx = {curr_label: i for i, curr_label in enumerate(self.label_names)} self.idx2label = {i: curr_label for curr_label, i in self.label2idx.items()} all_label = [self.label2idx.get(_lbl, -1) for _lbl in all_label] # Examples that have a valid label (!= -1) valid_indices = [_i for _i in range(len(all_label)) if all_label[_i] != -1] self.str_premise = [all_premise[_i] for _i in valid_indices] self.str_hypothesis = [all_hypothesis[_i] for _i in valid_indices] valid_label = [all_label[_i] for _i in valid_indices] optional_kwargs = {} if return_tensors is not None: valid_label = torch.tensor(valid_label) optional_kwargs["return_tensors"] = "pt" if max_length is not None: optional_kwargs["max_length"] = max_length optional_kwargs["padding"] = "max_length" optional_kwargs["truncation"] = "longest_first" encoded = tokenizer.batch_encode_plus(list(zip(self.str_premise, self.str_hypothesis)), **optional_kwargs) encoded["labels"] = valid_label if binarize: # Leave the argument in for consistency though warn("'binarize' is an unused argument in SciTail as it is binary by default") super().__init__(**encoded) class OCNLITransformersDataset(TransformersSeqPairDataset): def __init__(self, path: Union[str, Iterable[str]], tokenizer, max_length: Optional[int] = None, return_tensors: Optional[str] = None, binarize: Optional[bool] = False): _path = (path,) if isinstance(path, str) else path df = pd.concat([pd.read_json(curr_path, lines=True) for curr_path in _path]).reset_index(drop=True) self.label_names = ["entailment", "neutral", "contradiction"] self.label2idx = {curr_label: i for i, curr_label in enumerate(self.label_names)} self.idx2label = {i: curr_label for curr_label, i in self.label2idx.items()} self.str_premise = df["sentence1"].tolist() self.str_hypothesis = df["sentence2"].tolist() self.genre = df["genre"].tolist() if "label" in df.columns: valid_label = list(map(lambda lbl: self.label2idx.get(lbl, -1), df["label"].tolist())) else: warn(f"No labels present in file - setting all labels to 0, so you should ignore metrics based on these") valid_label = [0] * len(self.str_premise) # Examples that have a valid label (!= -1) valid_indices = [_i for _i in range(len(valid_label)) if valid_label[_i] != -1] self.str_premise = [self.str_premise[_i] for _i in valid_indices] self.str_hypothesis = [self.str_hypothesis[_i] for _i in valid_indices] self.genre = [self.genre[_i] for _i in valid_indices] valid_label = [valid_label[_i] for _i in valid_indices] optional_kwargs = {} if return_tensors is not None: valid_label = torch.tensor(valid_label) optional_kwargs["return_tensors"] = "pt" if max_length is not None: optional_kwargs["max_length"] = max_length optional_kwargs["padding"] = "max_length" optional_kwargs["truncation"] = "longest_first" encoded = tokenizer.batch_encode_plus(list(zip(self.str_premise, self.str_hypothesis)), **optional_kwargs) encoded["labels"] = valid_label if binarize: encoded["labels"] = (encoded["labels"] == self.label2idx["entailment"]).long() self.label_names = ["not_entailment", "entailment"] self.label2idx = {curr_label: i for i, curr_label in enumerate(self.label_names)} self.idx2label = {i: curr_label for curr_label, i in self.label2idx.items()} super().__init__(**encoded) class AssinTransformersDataset(TransformersSeqPairDataset): def __init__(self, split: Union[str, Iterable[str]], tokenizer, max_length: Optional[int] = None, return_tensors: Optional[str] = None): _split = (split,) if isinstance(split, str) else split datasets_list = [datasets.load_dataset("assin", "full", split=curr_split) for curr_split in _split] all_hypothesis = list(itertools.chain(*[curr_dataset["hypothesis"] for curr_dataset in datasets_list])) all_premise = list(itertools.chain(*[curr_dataset["premise"] for curr_dataset in datasets_list])) # NOTE: intentional typo as it is like this in hf/datasets repository all_label = list(itertools.chain(*[curr_dataset["entailment_judgment"] for curr_dataset in datasets_list])) self.orig_label_names = ["neutral", "entailment", "paraphrase"] self.orig_label = deepcopy(all_label) all_label = list(map(lambda _lbl: int(_lbl >= 1), all_label)) # group {entailment, paraphrase} into entailment self.label_names = ["neutral", "entailment"] self.label2idx = {curr_label: i for i, curr_label in enumerate(self.label_names)} self.idx2label = {i: curr_label for curr_label, i in self.label2idx.items()} self.str_premise = all_premise self.str_hypothesis = all_hypothesis valid_label = all_label optional_kwargs = {} if return_tensors is not None: valid_label = torch.tensor(valid_label) optional_kwargs["return_tensors"] = "pt" if max_length is not None: optional_kwargs["max_length"] = max_length optional_kwargs["padding"] = "max_length" optional_kwargs["truncation"] = "longest_first" encoded = tokenizer.batch_encode_plus(list(zip(self.str_premise, self.str_hypothesis)), **optional_kwargs) encoded["labels"] = valid_label super().__init__(**encoded) if __name__ == "__main__": from transformers import BertTokenizerFast tokenizer = BertTokenizerFast.from_pretrained("neuralmind/bert-base-portuguese-cased") # dataset = SciTailTransformersDataset("train", tokenizer) # hfl/chinese-roberta-wwm-ext # hfl/chinese-roberta-wwm-ext-large dataset = AssinTransformersDataset("train", tokenizer)

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1

0

null

0

6

4ccd6e87dc6d7249a26f52a3e8d4d5df1808a9d2

24

py

Python

pfp_maker/__init__.py

GeeTransit/Identicon-Generator

40f31830d8eaf6da92e49894e39e2a51b8481679

[ "MIT" ]

1

2021-05-19T19:17:33.000Z

pfp_maker/__init__.py

GeeTransit/Identicon-Generator

40f31830d8eaf6da92e49894e39e2a51b8481679

[ "MIT" ]

null

pfp_maker/__init__.py

GeeTransit/Identicon-Generator

40f31830d8eaf6da92e49894e39e2a51b8481679

[ "MIT" ]

null

from . import pfp_maker

12

23

0.791667

4

24

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0

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24

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0

1

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true

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0

null

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1

0

1

0

1

0

6

e2209f7eac2db75790cdea4b818ae25e617d7b5e

44

py

Python

hpe3d/models/__init__.py

dorianhenning/hpe3d

14ea2b0f76145793e2b15ce6fd31736c4be26b5b

[ "MIT" ]

2

2020-05-27T08:21:20.000Z

2021-06-28T15:42:58.000Z

hpe3d/models/__init__.py

dorianhenning/hpe3d

14ea2b0f76145793e2b15ce6fd31736c4be26b5b

[ "MIT" ]

1

2022-03-22T14:07:05.000Z

2022-03-22T14:07:08.000Z

hpe3d/models/__init__.py

dorianhenning/hpe3d

14ea2b0f76145793e2b15ce6fd31736c4be26b5b

[ "MIT" ]

4

2020-05-27T08:21:21.000Z

2021-08-08T19:17:13.000Z

from .smpl import SMPL from .hmr import hmr

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22

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null

0

1

0

1

0

1

0

6

e276dbbfa01667b55d33b9d4f225fb549a52fe63

22

py

Python

summarizationService/__init__.py

aceew/ViS

3963d0a0a29d24b80e3fd74cedb036a6d64dce5e

[ "MIT" ]

3

2019-10-28T09:15:29.000Z

2020-03-23T17:16:41.000Z

summarizationService/__init__.py

aceew/ViS

3963d0a0a29d24b80e3fd74cedb036a6d64dce5e

[ "MIT" ]

1

2020-01-27T17:06:46.000Z

summarizationService/__init__.py

aceew/ViS

3963d0a0a29d24b80e3fd74cedb036a6d64dce5e

[ "MIT" ]

2

2019-10-27T19:27:57.000Z

2020-04-04T00:27:15.000Z

from .summary import *

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1

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1

0

1

0

6

e2acc9969788e587da7b9cd19c7be051cadb583d

44

py

Python

rasa/core/actions/__init__.py

ALT-F1/rasa

8d4a734616f72aca14f122716fbf338c42644188

[ "Apache-2.0" ]

2,433

2017-10-04T13:08:05.000Z

2022-03-13T14:59:26.000Z

rasa/core/actions/__init__.py

alfredfrancis/rasa

d8d226408f20cc2563c3aefbccef3e364a447666

[ "Apache-2.0" ]

1,684

2017-10-04T13:04:44.000Z

2019-05-31T20:48:49.000Z

rasa/core/actions/__init__.py

alfredfrancis/rasa

d8d226408f20cc2563c3aefbccef3e364a447666

[ "Apache-2.0" ]

1,229

2017-10-04T20:23:59.000Z

2022-03-11T02:49:13.000Z

from rasa.core.actions.action import Action

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6

e2aeee49c94b986e67bf5af4c802e00d975bf415

39

py

Python

tests/conftest.py

ratschlab/ratschlab-common

e7d71c3220c8b991d9d1c2f2de5cf393fce8357c

[ "MIT" ]

1

2021-02-01T22:45:24.000Z

tests/conftest.py

ratschlab/ratschlab-common

e7d71c3220c8b991d9d1c2f2de5cf393fce8357c

[ "MIT" ]

2

2019-11-25T09:10:26.000Z

2020-02-14T13:08:28.000Z

tests/conftest.py

ratschlab/ratschlab-common

e7d71c3220c8b991d9d1c2f2de5cf393fce8357c

[ "MIT" ]

1

2018-09-20T01:38:01.000Z

from tests.db.data_fixtures import *

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1

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1

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6

2c5b4545486cc134c1b66e1846d62c2bb741ab9e

35,275

py

Python

core/objs/rh_folha_salario.py

aanacleto/erp-

9c2d5388248cfe4b8cdb8454f6f47df4cb521f0e

[ "MIT" ]

null

core/objs/rh_folha_salario.py

aanacleto/erp-

9c2d5388248cfe4b8cdb8454f6f47df4cb521f0e

[ "MIT" ]

null

core/objs/rh_folha_salario.py

aanacleto/erp-

9c2d5388248cfe4b8cdb8454f6f47df4cb521f0e

[ "MIT" ]

2

2017-12-04T14:59:22.000Z

2018-12-06T18:50:29.000Z

# !/usr/bin/env python3 # -*- encoding: utf-8 -*- """ ERP+ """ __author__ = 'António Anacleto' __credits__ = [] __version__ = "1.0" __maintainer__ = "António Anacleto" __status__ = "Development" __model_name__='rh_folha_salario.RHFolhaSalario' import auth, base_models from orm import * from form import * try: from my_rh_funcionario_subsidio import RHFuncionarioSubsidio except: from rh_funcionario_subsidio import RHFuncionarioSubsidio try: from my_rh_outros_rendimentos_funcionario import RHOutrosRendimentosFuncionario except: from rh_outros_rendimentos_funcionario import RHOutrosRendimentosFuncionario try: from my_rh_gasto_suportado import RHGastoSuportado except: from rh_gasto_suportado import RHGastoSuportado try: from my_rh_recibo_salario import RHReciboSalario except: from rh_recibo_salario import RHReciboSalario try: from my_rh_linha_recibo_salario import RHLinhaReciboSalario except: from rh_linha_recibo_salario import RHLinhaReciboSalario try: from my_rh_rendimento_funcionario import RHRendimentoFuncionario except: from rh_rendimento_funcionario import RHRendimentoFuncionario try: from my_rh_desconto_funcionario import RHDescontoFuncionario except: from rh_desconto_funcionario import RHDescontoFuncionario try: from my_terceiro import Terceiro except: from terceiro import Terceiro try: from my_rh_contrato_funcionario import RHContratoFuncionario except: from rh_contrato_funcionario import RHContratoFuncionario try: from my_rh_outros_descontos_funcionario import RHOutrosDescontosFuncionario except: from rh_outros_descontos_funcionario import RHOutrosDescontosFuncionario try: from my_rh_tipo_rendimento import RHTipoRendimento except: from rh_tipo_rendimento import RHTipoRendimento try: from my_rh_tipo_desconto import RHTipoDesconto except: from rh_tipo_desconto import RHTipoDesconto from rh_taxa_retencao import RHTaxaRetencao class RHFolhaSalario(Model, View): def __init__(self, **kargs): Model.__init__(self, **kargs) self.__name__ = 'rh_folha_salario' self.__title__= 'Folhas de Salários' self.__model_name__ = __model_name__ self.__list_edit_mode__ = 'edit' self.__order_by__ = 'rh_folha_salario.periodo' self.__workflow__ = ( 'estado', {'Rascunho':['Activar', 'Cancelar'], 'Activo':['Gerar Recibos', 'Cancelar'], 'Gerado':['Cancelar Recibos','Cancelar','Confirmar Recibos'],'Recibos Cancelado':['Gerar Recibos'],'Recibos Confirmado':['Efectuar Pagamento']} ) self.__workflow_auth__ = { 'Gerar Recibos':['Contabilista'], 'Cancelar Recibos':['Contabilista'], 'Confirmar Recibos':['Contabilista'], 'Efectuar Pagamento':['Contabilista'], 'Activar':['Contabilista'], 'Encerrar':['Contabilista'], 'Rascunho':['Gestor'], 'Cancelar':['Gestor'], 'full_access':['Gestor'] } self.__auth__ = { 'read':['All'], 'write':['Contabilista'], 'create':['Contabilista'], 'delete':['Contabilista'], 'full_access':['Gestor'] } self.__no_edit__ = [('estado', ['Pago', 'Cancelado'])] self.__get_options__ = ['periodo'] self.__tabs__ = [ ('Salários',['ano','periodo','mes','para_todos','estado','rh_funcionario_subsidio']), ('Outros Rendimentos e Descontos',['rh_outros_rendimentos_funcionario','rh_outros_descontos_funcionario']), ('Recibos',['rh_recibo_salario']) ] self.ano = combo_field(view_order = 1, size=45, name ='Ano', args = 'required', default = datetime.date.today().year, options='model.getAno()') self.periodo = combo_field(view_order = 2, size=70, name ='Periodo', args = 'required', default = datetime.date.today().strftime("%m"), options='model.getPeriodo()') self.para_todos = boolean_field(view_order = 4, size=50, name = 'Todos Funcionários', default = True) self.estado = info_field(view_order=5, name='Estado', size=45, default='Rascunho', args='readonly') self.rh_funcionario_subsidio = list_field(view_order=6, name='Funcionários á Processar',condition="rh_folha_salario='{id}'", model_name='rh_funcionario_subsidio.RHFuncionarioSubsidio', list_edit_mode='popup', onlist=False) self.rh_outros_rendimentos_funcionario = list_field(view_order=7, condition="rh_folha_salario='{id}'", model_name='rh_outros_rendimentos_funcionario.RHOutrosRendimentosFuncionario', list_edit_mode='inline', onlist=False, name='Outros Rendimentos (Apenas Neste Periodo)') self.rh_outros_descontos_funcionario = list_field(view_order=8, condition="rh_folha_salario='{id}'", model_name='rh_outros_descontos_funcionario.RHOutrosDescontosFuncionario', list_edit_mode='inline', onlist=False, name='Outros Descontos (Apenas Neste Periodo)') self.rh_recibo_salario = list_field(view_order=9, name='Recibos Salários', condition="rh_folha_salario='{id}' AND estado!='Cancelado'", model_name='rh_recibo_salario.RHReciboSalario', list_edit_mode='popup', onlist=False) def getAno(self): options = [] for ano in range(datetime.date.today().year-2,datetime.date.today().year+2): options.append((str(ano), str(ano))) return options def getPeriodo(self): return [('01','Janeiro'),('02','Fevereiro'),('03','Março'),('04','Abril'),('05','Maio'),('06','Junho'),('07','Julho'),('08','Agosto'),('09','Setembro'),('10','Outubro'),('11','Nuvembro'),('12','Dezembro'),('13','Subsídio Natal'),('14','Prémio Produtividade'),('15','Subsídio Féria')] def Gerar_Recibos(self, key, window_id): """Gera os recibos de salário e de subsídio em um periodo""" self.kargs = get_model_record(model=self, key=key,force_db=True) #funcionarios=[] if self.kargs['para_todos']: funcionarios = Terceiro(where="funcionario=True").get(order_by='nome') else: sql = """SELECT t.* FROM terceiro t WHERE (t.active = True OR t.active IS NULL) AND t.id IN ( SELECT fs.terceiro FROM rh_funcionario_subsidio fs WHERE (fs.active = True OR fs.active IS NULL) AND fs.rh_folha_salario = '{idSal}')""".format(idSal=key) funcionarios = run_sql(sql) if len(funcionarios)!=0: if self.kargs['periodo'] in ('13','14','15'): self.gerarRecibosSubsidios(key=key) else: for func in funcionarios: contrato = RHContratoFuncionario(where="terceiro='{id}' AND activo=True".format(id=func['id'])).get() if contrato: contrato=contrato[0] content = { 'estado':'Rascunho', 'user':self.kargs['user'], 'rh_folha_salario':self.kargs['id'], 'terceiro':func['id'], 'periodo':self.kargs['periodo'], 'ano':self.kargs['ano'], 'tipo_funcionario':contrato['tipo'] } idRecibo = RHReciboSalario(**content).put() linhas = [] #SALARIO linhas.append({'nome':'Salário', 'valor':contrato['salario_base'],'rh_tipo_rendimento':None,'rh_tipo_desconto':None, 'origem':'salario','parte_trib':to_decimal(0)}) #IUR if (contrato['tipo'] == 'dependente') & (contrato['vinculo'] in ('efectivo','a_termo')): #calcular a nova base tributavel (salario e rendiementos tributaveis) salario_bruto_iur = to_decimal(contrato['salario_base'])+to_decimal(self.get_total_rendimento_tributaveis(idFuncionario=func['id'])) iur = self.calcularIURfuncionario(salario=salario_bruto_iur) print('\n\n\n\n\nAAAAAAAAAAAAAAAAAAA\n\n',iur,'\n\nAAAAAAAAAAAAAAAAAAAAAAAAa\n\n') linhas.append({'nome':'IUR', 'valor':-iur, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':None, 'origem':'iur','parte_trib':to_decimal(0)}) elif (contrato['tipo'] == 'dependente') & (contrato['vinculo'] =='prestacao_servico'): #calcular a nova base tributavel (salario e rendiementos tributaveis) salario_bruto_iur = to_decimal(contrato['salario_base'])+to_decimal(self.get_total_rendimento_tributaveis(idFuncionario=func['id'])) iur = self.calcularIURprestadorServico(salario=salario_bruto_iur) linhas.append({'nome':'IUR', 'valor':-iur, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':None, 'origem':'iur','parte_trib':to_decimal(0)}) elif contrato['tipo'] == 'pensionista': iur = self.calcularRetencaoPensionista(salario=contrato['salario_base']) linhas.append({'nome':'IUR', 'valor':-iur, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':None, 'origem':'iur','parte_trib':to_decimal(0)}) elif contrato['tipo'] == 'nao_residente': iur = self.calcularIURnaoResidente(salario=contrato['salario_base']) linhas.append({'nome':'IUR', 'valor':-iur, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':None, 'origem':'iur','parte_trib':to_decimal(0)}) #SEGURANCA SOCIAL if (contrato['tipo'] == 'dependente') & (contrato['vinculo'] in ('efectivo','a_termo')): salario_bruto_inps = to_decimal(contrato['salario_base'])+to_decimal(self.get_total_rendimento_Inps(idFuncionario=func['id'])) inps = self.calcularDescontoInpsFuncionario(salario=salario_bruto_inps) linhas.append({'nome':'Segurança Social', 'valor':-inps,'rh_tipo_rendimento':None,'rh_tipo_desconto':None, 'origem':'inps','parte_trib':to_decimal(0)}) #### RHGastoSuportado(rh_recibo_salario=idRecibo, nome="INPS", valor=self.calcularDescontoInpsEntidade(salario=salario_bruto_inps), user=self.kargs['user']).put() #RENDIMENTOS rendimentos = RHRendimentoFuncionario(where="terceiro='{id}'".format(id=func['id'])).get() for line in rendimentos: tipo = RHTipoRendimento(where="id='{tr}'".format(tr=line['rh_tipo_rendimento'])).get() if tipo: linhas.append({'nome':tipo[0]['nome'], 'valor':line['valor'], 'rh_tipo_rendimento':tipo[0]['id'], 'rh_tipo_desconto':None, 'origem':'rendimento','parte_trib':self.get_parteTributavel(tipo_rend=tipo[0]['id'], valor=line['valor'])}) #OUTROS RENDIMENTOS outrosRendimentos = RHOutrosRendimentosFuncionario(where="terceiro='{id}' AND rh_folha_salario = '{folha}'".format(id=func['id'], folha=key)).get() for line in outrosRendimentos: tipo = RHTipoRendimento(where="id='{tr}'".format(tr=line['rh_tipo_rendimento'])).get() if tipo: linhas.append({'nome':tipo[0]['nome'], 'valor':line['valor'], 'rh_tipo_rendimento':tipo[0]['id'], 'rh_tipo_desconto':None, 'origem':'rendimento','parte_trib':self.get_parteTributavel(tipo_rend=tipo[0]['id'], valor=line['valor'])}) #DESCONTOS descontos = RHDescontoFuncionario(where="terceiro='{idTer}'".format(idTer=func['id'])).get() for line in descontos: tipo = RHTipoDesconto(where="id='{tr}'".format(tr=line['rh_tipo_desconto'])).get() if tipo: tipo = tipo[0] if tipo['taxa']: if tipo['base']=='salario base': valor = contrato['salario_base']*line['valor']/100 linhas.append({'nome':tipo['nome'], 'valor':-valor, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':tipo['id'], 'origem':'desconto','parte_trib':to_decimal(0)}) else: valor = (contrato['salario_base']+self.get_total_rendimento_tributaveis(idFuncionario=func['id']))*line['valor']/100 linhas.append({'nome':tipo['nome'], 'valor':-valor, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':tipo['id'], 'origem':'desconto','parte_trib':to_decimal(0)}) else: linhas.append({'nome':tipo['nome'], 'valor':-line['valor'], 'rh_tipo_rendimento':None, 'rh_tipo_desconto':tipo['id'], 'origem':'desconto','parte_trib':to_decimal(0)}) #OUTROS DESCONTOS outrosDescontos = RHOutrosDescontosFuncionario(where="terceiro='{idTer}' AND rh_folha_salario='{idSal}'".format(idTer=func['id'], idSal=key)).get() for line in outrosDescontos: tipo = RHTipoDesconto(where="id='{tr}'".format(tr=line['rh_tipo_desconto'])).get() if tipo: tipo = tipo[0] if tipo['taxa']: if tipo['base']=='salario base': valor = contrato['salario_base']*line['valor']/100 linhas.append({'nome':tipo['nome'], 'valor':-valor, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':tipo['id'], 'origem':'outros_descontos','parte_trib':to_decimal(0)}) else: valor = (contrato['salario_base']+self.get_total_rendimento_tributaveis(idFuncionario=func['id']))*line['valor']/100 linhas.append({'nome':tipo['nome'], 'valor':-valor, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':tipo['id'], 'origem':'outros_descontos','parte_trib':to_decimal(0)}) else: linhas.append({'nome':tipo['nome'], 'valor':-line['valor'], 'rh_tipo_rendimento':None, 'rh_tipo_desconto':tipo['id'], 'origem':'outros_descontos','parte_trib':to_decimal(0)}) for line in linhas: content = { 'user':self.kargs['user'], 'rh_recibo_salario':idRecibo, 'nome':line['nome'], 'valor':line['valor'], 'rh_tipo_rendimento':line['rh_tipo_rendimento'], 'rh_tipo_desconto':line['rh_tipo_desconto'], 'origem':line['origem'], 'parte_trib':line['parte_trib'] } RHLinhaReciboSalario(**content).put() #alterar estado self.kargs['estado']='Gerado' self.put() else: return error_message('Não pode gerar recibos sem indicar os funcionarios!\n') return form_edit(window_id=window_id).show() def gerarRecibosSubsidios(self, key): self.kargs = get_model_record(model=self, key=key,force_db=True) funcionarios=[] if self.kargs['para_todos']: funcionarios = Terceiro(where="funcionario=True").get(order_by='nome') else: sql = """SELECT t.* FROM terceiro t WHERE (t.active = True OR t.active IS NULL) AND t.id IN ( SELECT fs.terceiro FROM rh_funcionario_subsidio fs WHERE (fs.active = True OR fs.active IS NULL) AND fs.rh_folha_salario = '{idSal}' )""".format(idSal=key) funcionarios = run_sql(sql) for func in funcionarios: contrato = RHContratoFuncionario(where="terceiro='{id}'".format(id=func['id'])).get() if contrato: contrato=contrato[0] content = { 'estado':'Rascunho', 'user':self.kargs['user'], 'rh_folha_salario':self.kargs['id'], 'terceiro':func['id'], 'periodo':self.kargs['periodo'], 'ano':self.kargs['ano'] } idRecibo = RHReciboSalario(**content).put() linhas = [] #SALARIO linhas.append({'nome':'Salário', 'valor':contrato['salario_base'],'rh_tipo_rendimento':None,'rh_tipo_desconto':None, 'origem':'salario','parte_trib':to_decimal(0)}) #IUR if (contrato['tipo'] == 'dependente') & (contrato['vinculo'] in ('efectivo','a_termo')): #calcular a nova base tributavel (salario e rendiementos tributaveis) salario_bruto_iur = to_decimal(contrato['salario_base'])+to_decimal(self.get_total_rendimento_tributaveis(idFuncionario=func['id'])) iur = self.calcularIURfuncionario(salario=salario_bruto_iur) linhas.append({'nome':'IUR', 'valor':-iur, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':None, 'origem':'iur','parte_trib':to_decimal(0)}) elif (contrato['tipo'] == 'dependente') & (contrato['vinculo'] =='prestacao_servico'): #calcular a nova base tributavel (salario e rendiementos tributaveis) salario_bruto_iur = to_decimal(contrato['salario_base'])+to_decimal(self.get_total_rendimento_tributaveis(idFuncionario=func['id'])) iur = self.calcularIURprestadorServico(salario=salario_bruto_iur) linhas.append({'nome':'IUR', 'valor':-iur, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':None, 'origem':'iur','parte_trib':to_decimal(0)}) elif contrato['tipo'] == 'pensionista': iur = self.calcularRetencaoPensionista(salario=contrato['salario_base']) linhas.append({'nome':'IUR', 'valor':-iur, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':None, 'origem':'iur','parte_trib':to_decimal(0)}) elif contrato['tipo'] == 'nao_residente': iur = self.calcularIURnaoResidente(salario=contrato['salario_base']) linhas.append({'nome':'IUR', 'valor':-iur, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':None, 'origem':'iur','parte_trib':to_decimal(0)}) #SEGURANCA SOCIAL if (contrato['tipo'] == 'dependente') & (contrato['vinculo'] in ('efectivo','a_termo')): salario_bruto_inps = to_decimal(contrato['salario_base'])+to_decimal(self.get_total_rendimento_Inps_subsidio(idFuncionario=func['id'])) inps = self.calcularDescontoInpsFuncionario(salario=salario_bruto_inps) linhas.append({'nome':'Segurança Social', 'valor':-inps,'rh_tipo_rendimento':None,'rh_tipo_desconto':None, 'origem':'inps','parte_trib':to_decimal(0)}) #### RHGastoSuportado(rh_recibo_salario=idRecibo, nome="INPS", valor=self.calcularDescontoInpsEntidade(salario=salario_bruto_inps), user=self.kargs['user']).put() #RENDIMENTOS rendimentos = RHRendimentoFuncionario(where="terceiro='{id}' AND em_subsidio = True".format(id=func['id'])).get() for line in rendimentos: tipo = RHTipoRendimento(where="id='{tr}'".format(tr=line['rh_tipo_rendimento'])).get() if tipo: linhas.append({'nome':tipo[0]['nome'], 'valor':line['valor'], 'rh_tipo_rendimento':tipo[0]['id'], 'rh_tipo_desconto':None, 'origem':'rendimento','parte_trib':self.get_parteTributavel(tipo_rend=tipo[0]['id'], valor=line['valor'])}) #OUTROS RENDIMENTOS outrosRendimentos = RHOutrosRendimentosFuncionario(where="terceiro='{id}' AND rh_folha_salario = '{folha}'".format(id=func['id'], folha=key)).get() for line in outrosRendimentos: tipo = RHTipoRendimento(where="id='{tr}'".format(tr=line['rh_tipo_rendimento'])).get() if tipo: linhas.append({'nome':tipo[0]['nome'], 'valor':line['valor'], 'rh_tipo_rendimento':tipo[0]['id'], 'rh_tipo_desconto':None, 'origem':'rendimento','parte_trib':self.get_parteTributavel(tipo_rend=tipo[0]['id'], valor=line['valor'])}) #DESCONTOS descontos = RHDescontoFuncionario(where="terceiro='{idTer}' AND em_subsidio=True".format(idTer=func['id'])).get() for line in descontos: tipo = RHTipoDesconto(where="id='{tr}'".format(tr=line['rh_tipo_desconto'])).get() if tipo: tipo = tipo[0] if tipo['taxa']: if tipo['base']=='salario base': valor = contrato['salario_base']*line['valor']/100 linhas.append({'nome':tipo['nome'], 'valor':-valor, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':tipo['id'], 'origem':'desconto','parte_trib':to_decimal(0)}) else: valor = (contrato['salario_base']+self.get_total_rendimento_tributaveis_subsidio(idFuncionario=func['id']))*line['valor']/100 linhas.append({'nome':tipo['nome'], 'valor':-valor, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':tipo['id'], 'origem':'desconto','parte_trib':to_decimal(0)}) else: linhas.append({'nome':tipo['nome'], 'valor':-line['valor'], 'rh_tipo_rendimento':None, 'rh_tipo_desconto':tipo['id'], 'origem':'desconto','parte_trib':to_decimal(0)}) #OUTROS DESCONTOS outrosDescontos = RHOutrosDescontosFuncionario(where="terceiro='{idTer}' AND rh_folha_salario='{idSal}'".format(idTer=func['id'], idSal=key)).get() for line in outrosDescontos: tipo = RHTipoDesconto(where="id='{tr}'".format(tr=line['rh_tipo_desconto'])).get() if tipo: tipo = tipo[0] if tipo['taxa']: if tipo['base']=='salario base': valor = contrato['salario_base']*line['valor']/100 linhas.append({'nome':tipo['nome'], 'valor':-valor, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':tipo['id'], 'origem':'outros_descontos', 'parte_trib':to_decimal(0)}) else: valor = (contrato['salario_base']+self.get_total_rendimento_tributaveis_subsidio(idFuncionario=func['id']))*line['valor']/100 linhas.append({'nome':tipo['nome'], 'valor':-valor, 'rh_tipo_rendimento':None, 'rh_tipo_desconto':tipo['id'], 'origem':'outros_descontos', 'parte_trib':to_decimal(0)}) else: linhas.append({'nome':tipo['nome'], 'valor':-line['valor'], 'rh_tipo_rendimento':None, 'rh_tipo_desconto':tipo['id'], 'origem':'outros_descontos', 'parte_trib':to_decimal(0)}) for line in linhas: content = { 'user':self.kargs['user'], 'rh_recibo_salario':idRecibo, 'nome':line['nome'], 'valor':line['valor'], 'rh_tipo_rendimento':line['rh_tipo_rendimento'], 'rh_tipo_desconto':line['rh_tipo_desconto'], 'origem':line['origem'], 'parte_trib':line['parte_trib'] } RHLinhaReciboSalario(**content).put() def get_total_rendimento_tributaveis(self, idFuncionario): """ retorna o total tributavel dos rendimentos (excepto salario) de um funcionario """ total = to_decimal(0) sql = """SELECT rf.valor, tr.* FROM rh_rendimento_funcionario rf, rh_tipo_rendimento tr WHERE (rf.active = True OR rf.active IS NULL) AND (tr.active = True OR tr.active IS NULL) AND rf.rh_tipo_rendimento = tr.id AND rf.terceiro = '{id}'""".format(id=idFuncionario) rendimentos = run_sql(sql) for line in rendimentos: #verificar se o valor é maior que o limite de isencao if to_decimal(line['valor']) > to_decimal(line['limite_isento']): a_tributar = to_decimal(line['valor']) - to_decimal(line['limite_isento']) total+=a_tributar*to_decimal(line['percent_tribuavel'])/100 return total def get_parteTributavel(self,tipo_rend, valor): ''' retorna a parte tributavel do valor de um rendimento ''' total=to_decimal(0) tipo = RHTipoRendimento(where="id='{id}'".format(id=tipo_rend)).get() if tipo: tipo=tipo[0] if to_decimal(valor) > to_decimal(tipo['limite_isento']): a_tributar = to_decimal(valor) - to_decimal(tipo['limite_isento']) total+=a_tributar*to_decimal(tipo['percent_tribuavel'])/100 return total def get_total_rendimento_tributaveis_subsidio(self, idFuncionario): """ retorna o total tributavel dos rendimentos (excepto salario) de um funcionario """ total = to_decimal(0) sql = """SELECT rf.valor, tr.* FROM rh_rendimento_funcionario rf, rh_tipo_rendimento tr WHERE (rf.active = True OR rf.active IS NULL) AND (tr.active = True OR tr.active IS NULL) AND rf.rh_tipo_rendimento = tr.id AND rf.em_subsidio=True AND rf.terceiro = '{id}'""".format(id=idFuncionario) rendimentos = run_sql(sql) for line in rendimentos: #verificar se o valor é maior que o limite de isencao if to_decimal(line['valor']) > to_decimal(line['limite_isento']): a_tributar = to_decimal(line['valor']) - to_decimal(line['limite_isento']) total+=a_tributar*to_decimal(line['percent_tribuavel'])/100 return total def get_total_rendimento_Inps(self, idFuncionario): """ retorna o total de rendimentos de um funcionario que contribui para a seguranca social """ total = to_decimal(0) sql = """SELECT rf.valor, tr.* FROM rh_rendimento_funcionario rf, rh_tipo_rendimento tr WHERE rf.rh_tipo_rendimento = tr.id AND tr.desconto_inps = True AND rf.terceiro = '{id}'""".format(id=idFuncionario) rendimentos = run_sql(sql) for line in rendimentos: if line['desconto_inps']: total+=to_decimal(line['valor']) return total def get_total_rendimento_Inps_subsidio(self, idFuncionario): """ retorna o total de rendimentos de um funcionario que conta em subsidios e que contribui para a seguranca social """ total = to_decimal(0) sql = """SELECT rf.valor, tr.* FROM rh_rendimento_funcionario rf, rh_tipo_rendimento tr WHERE rf.rh_tipo_rendimento = tr.id AND rf.em_subsidio=True AND tr.desconto_inps = True AND rf.terceiro = '{id}'""".format(id=idFuncionario) rendimentos = run_sql(sql) for line in rendimentos: if line['desconto_inps']: total+=to_decimal(line['valor']) return total def Activar(self, key, window_id): self.kargs = get_model_record(model=self, key=key) self.kargs['estado'] = 'Activo' self.put() return form_edit(window_id=window_id).show() def Cancelar_Recibos(self, key, window_id): """ cancela os recobos gerados a partir desta folha de salario """ self.kargs = get_model_record(model=self, key=key) try: from my_rh_recibo_salario import RHReciboSalario except: from rh_recibo_salario import RHReciboSalario recibos = RHReciboSalario(where="rh_folha_salario='{id}'".format(id=self.kargs['id'])).get() for recibo in recibos: recibo['estado']='Cancelado' recibo['user']=self.kargs['user'] RHReciboSalario(**recibo).put() self.kargs['estado']='Recibos Cancelado' self.put() return form_edit(window_id=window_id).show() def Confirmar_Recibos(self, key, window_id): """ confirma os recobos gerados a partir desta folha de salario """ self.kargs = get_model_record(model=self, key=key) try: from my_rh_recibo_salario import RHReciboSalario except: from rh_recibo_salario import RHReciboSalario recibos = RHReciboSalario(where="rh_folha_salario='{id}' AND estado='Rascunho'".format(id=self.kargs['id'])).get() for recibo in recibos: recibo['estado']='Confirmado' recibo['user']=self.kargs['user'] RHReciboSalario(**recibo).put() self.kargs['estado']='Recibos Confirmado' self.put() return form_edit(window_id=window_id).show() def Efectuar_Pagamento(self, key, window_id): self.kargs = get_model_record(model=self, key=key) try: from my_rh_recibo_salario import RHReciboSalario except: from rh_recibo_salario import RHReciboSalario recibos = RHReciboSalario(where="rh_folha_salario='{id}' AND estado='Confirmado'".format(id=self.kargs['id'])).get() for recibo in recibos: recibo['estado']='Pago' recibo['user']=self.kargs['user'] RHReciboSalario(**recibo).put() self.kargs['estado']='Pago' self.put() return form_edit(window_id=window_id).show() def Cancelar(self, key, window_id): self.kargs = get_model_record(model=self, key=key) try: from my_rh_recibo_salario import RHReciboSalario except: from rh_recibo_salario import RHReciboSalario recibos = RHReciboSalario(where="rh_folha_salario='{id}'".format(id=key)).get() for recibo in recibos: recibo['estado']='Cancelado' recibo['user']=self.kargs['user'] RHReciboSalario(**recibo).put() self.kargs['estado'] = 'Cancelado' self.put() return form_edit(window_id=window_id).show() def Rascunho(self, key, window_id): self.kargs = get_model_record(model=self, key=key) self.kargs['estado'] = 'Rascunho' self.put() return form_edit(window_id=window_id).show() def taxas_retencao(self): def get_results(): try: from my_rh_retencao import RHRetencao except: from rh_retencao import RHRetencao taxa = RHRetencao().get() if taxa: return taxa[0] return erp_cache.get(key=self.__model_name__ + 'retencoes', createfunc=get_results) def calcularIURfuncionario(self, salario): """ calcura o IUR do funcionario dado o valor do salario tributavel """ iur = to_decimal(0) taxa = RHTaxaRetencao(where="minimo<='{sal}' AND maximo >='{sal}'".format(sal=salario)).get() print("\n\n\nDDDDDDDDDDDDDDDDDDDDDDD\n\ntaxa:",taxa,"\n\n\n") if taxa: iur = to_decimal(salario)*to_decimal(taxa[0]['taxa'])/100 return iur def calcularRetencaoPensionista(self, salario): if salario not in (0,None,'0','None',''): salario=to_decimal(salario) retencao = salario - to_decimal(960000)/12 return retencao else: return to_decimal(0) def calcularIURnaoResidente(self, salario): if salario not in (0,None,'0','None',''): salario=to_decimal(salario) taxa = self.taxas_retencao() if taxa: retencao = salario * to_decimal(taxa['taxa_nao_residente'])/100 return retencao else: return to_decimal(0) else: return to_decimal(0) def calcularIURprestadorServico(self, salario): if salario not in (0,None,'0','None',''): salario=to_decimal(salario) taxa = self.taxas_retencao() if taxa: retencao = salario * to_decimal(taxa['taxa_prestacao_servico'])/100 return retencao else: return to_decimal(0) else: return to_decimal(0) def calcularDescontoInpsFuncionario(self, salario): if salario not in (0,None,'0','None',''): salario=to_decimal(salario) taxa = self.taxas_retencao() if taxa: retencao = salario * to_decimal(taxa['taxa_inps_func'])/100 return retencao else: return to_decimal(0) else: return to_decimal(0) def calcularDescontoInpsEntidade(self, salario): if salario not in (0,None,'0','None',''): salario=to_decimal(salario) taxa = self.taxas_retencao() if taxa: retencao = salario * to_decimal(taxa['taxa_inps_entidade'])/100 return retencao else: return to_decimal(0) else: return to_decimal(0)

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2c81803515af2008eb72e61088f16729a8c9cf75

166

py

Python

src/Lib/site-packages/simpleaio/__init__.py

NUS-ALSET/ace-react-redux-brython

d009490263c5716a145d9691cd59bfcd5aff837a

[ "MIT" ]

1

2021-08-05T12:45:39.000Z

src/Lib/site-packages/simpleaio/__init__.py

NUS-ALSET/ace-react-redux-brython

d009490263c5716a145d9691cd59bfcd5aff837a

[ "MIT" ]

null

src/Lib/site-packages/simpleaio/__init__.py

NUS-ALSET/ace-react-redux-brython

d009490263c5716a145d9691cd59bfcd5aff837a

[ "MIT" ]

1

2019-09-05T08:20:07.000Z

"""The asyncio package, tracking PEP 3156.""" from .events import * from .coroutines import * from .futures import * from .tasks import * from .http import *

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2c90a08ea45aaadca8abe17a8dddfbfe08a7941a

45,356

py

Python

src/datadog_api_client/v2/api/security_monitoring_api.py

rchenzheng/datadog-api-client-python

2e86ac098c6f0c7fdd90ed218224587c0f8eafef

[ "Apache-2.0" ]

null

src/datadog_api_client/v2/api/security_monitoring_api.py

rchenzheng/datadog-api-client-python

2e86ac098c6f0c7fdd90ed218224587c0f8eafef

[ "Apache-2.0" ]

null

src/datadog_api_client/v2/api/security_monitoring_api.py

rchenzheng/datadog-api-client-python

2e86ac098c6f0c7fdd90ed218224587c0f8eafef

[ "Apache-2.0" ]

null

# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License. # This product includes software developed at Datadog (https://www.datadoghq.com/). # Copyright 2019-Present Datadog, Inc. import re # noqa: F401 import sys # noqa: F401 from datadog_api_client.v2.api_client import ApiClient, Endpoint as _Endpoint from datadog_api_client.v2.model_utils import ( # noqa: F401 check_allowed_values, check_validations, date, datetime, file_type, none_type, validate_and_convert_types, ) from datadog_api_client.v2.model.api_error_response import APIErrorResponse from datadog_api_client.v2.model.security_filter_create_request import SecurityFilterCreateRequest from datadog_api_client.v2.model.security_filter_delete_response import SecurityFilterDeleteResponse from datadog_api_client.v2.model.security_filter_response import SecurityFilterResponse from datadog_api_client.v2.model.security_filter_update_request import SecurityFilterUpdateRequest from datadog_api_client.v2.model.security_filters_response import SecurityFiltersResponse from datadog_api_client.v2.model.security_monitoring_list_rules_response import SecurityMonitoringListRulesResponse from datadog_api_client.v2.model.security_monitoring_rule_create_payload import SecurityMonitoringRuleCreatePayload from datadog_api_client.v2.model.security_monitoring_rule_response import SecurityMonitoringRuleResponse from datadog_api_client.v2.model.security_monitoring_rule_update_payload import SecurityMonitoringRuleUpdatePayload from datadog_api_client.v2.model.security_monitoring_signal_list_request import SecurityMonitoringSignalListRequest from datadog_api_client.v2.model.security_monitoring_signals_list_response import SecurityMonitoringSignalsListResponse from datadog_api_client.v2.model.security_monitoring_signals_sort import SecurityMonitoringSignalsSort class SecurityMonitoringApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client self._create_security_filter_endpoint = _Endpoint( settings={ "response_type": (SecurityFilterResponse,), "auth": ["apiKeyAuth", "appKeyAuth"], "endpoint_path": "/api/v2/security_monitoring/configuration/security_filters", "operation_id": "create_security_filter", "http_method": "POST", "servers": None, }, params_map={ "all": [ "body", ], "required": [ "body", ], "nullable": [], "enum": [], "validation": [], }, root_map={ "validations": {}, "allowed_values": {}, "openapi_types": { "body": (SecurityFilterCreateRequest,), }, "attribute_map": {}, "location_map": { "body": "body", }, "collection_format_map": {}, }, headers_map={"accept": ["application/json"], "content_type": ["application/json"]}, api_client=api_client, ) self._create_security_monitoring_rule_endpoint = _Endpoint( settings={ "response_type": (SecurityMonitoringRuleResponse,), "auth": ["apiKeyAuth", "appKeyAuth"], "endpoint_path": "/api/v2/security_monitoring/rules", "operation_id": "create_security_monitoring_rule", "http_method": "POST", "servers": None, }, params_map={ "all": [ "body", ], "required": [ "body", ], "nullable": [], "enum": [], "validation": [], }, root_map={ "validations": {}, "allowed_values": {}, "openapi_types": { "body": (SecurityMonitoringRuleCreatePayload,), }, "attribute_map": {}, "location_map": { "body": "body", }, "collection_format_map": {}, }, headers_map={"accept": ["application/json"], "content_type": ["application/json"]}, api_client=api_client, ) self._delete_security_filter_endpoint = _Endpoint( settings={ "response_type": (SecurityFilterDeleteResponse,), "auth": ["apiKeyAuth", "appKeyAuth"], "endpoint_path": "/api/v2/security_monitoring/configuration/security_filters/{security_filter_id}", "operation_id": "delete_security_filter", "http_method": "DELETE", "servers": None, }, params_map={ "all": [ "security_filter_id", ], "required": [ "security_filter_id", ], "nullable": [], "enum": [], "validation": [], }, root_map={ "validations": {}, "allowed_values": {}, "openapi_types": { "security_filter_id": (str,), }, "attribute_map": { "security_filter_id": "security_filter_id", }, "location_map": { "security_filter_id": "path", }, "collection_format_map": {}, }, headers_map={ "accept": ["application/json"], "content_type": [], }, api_client=api_client, ) self._delete_security_monitoring_rule_endpoint = _Endpoint( settings={ "response_type": None, "auth": ["apiKeyAuth", "appKeyAuth"], "endpoint_path": "/api/v2/security_monitoring/rules/{rule_id}", "operation_id": "delete_security_monitoring_rule", "http_method": "DELETE", "servers": None, }, params_map={ "all": [ "rule_id", ], "required": [ "rule_id", ], "nullable": [], "enum": [], "validation": [], }, root_map={ "validations": {}, "allowed_values": {}, "openapi_types": { "rule_id": (str,), }, "attribute_map": { "rule_id": "rule_id", }, "location_map": { "rule_id": "path", }, "collection_format_map": {}, }, headers_map={ "accept": ["application/json"], "content_type": [], }, api_client=api_client, ) self._get_security_filter_endpoint = _Endpoint( settings={ "response_type": (SecurityFilterResponse,), "auth": ["apiKeyAuth", "appKeyAuth"], "endpoint_path": "/api/v2/security_monitoring/configuration/security_filters/{security_filter_id}", "operation_id": "get_security_filter", "http_method": "GET", "servers": None, }, params_map={ "all": [ "security_filter_id", ], "required": [ "security_filter_id", ], "nullable": [], "enum": [], "validation": [], }, root_map={ "validations": {}, "allowed_values": {}, "openapi_types": { "security_filter_id": (str,), }, "attribute_map": { "security_filter_id": "security_filter_id", }, "location_map": { "security_filter_id": "path", }, "collection_format_map": {}, }, headers_map={ "accept": ["application/json"], "content_type": [], }, api_client=api_client, ) self._get_security_monitoring_rule_endpoint = _Endpoint( settings={ "response_type": (SecurityMonitoringRuleResponse,), "auth": ["apiKeyAuth", "appKeyAuth"], "endpoint_path": "/api/v2/security_monitoring/rules/{rule_id}", "operation_id": "get_security_monitoring_rule", "http_method": "GET", "servers": None, }, params_map={ "all": [ "rule_id", ], "required": [ "rule_id", ], "nullable": [], "enum": [], "validation": [], }, root_map={ "validations": {}, "allowed_values": {}, "openapi_types": { "rule_id": (str,), }, "attribute_map": { "rule_id": "rule_id", }, "location_map": { "rule_id": "path", }, "collection_format_map": {}, }, headers_map={ "accept": ["application/json"], "content_type": [], }, api_client=api_client, ) self._list_security_filters_endpoint = _Endpoint( settings={ "response_type": (SecurityFiltersResponse,), "auth": ["apiKeyAuth", "appKeyAuth"], "endpoint_path": "/api/v2/security_monitoring/configuration/security_filters", "operation_id": "list_security_filters", "http_method": "GET", "servers": None, }, params_map={"all": [], "required": [], "nullable": [], "enum": [], "validation": []}, root_map={ "validations": {}, "allowed_values": {}, "openapi_types": {}, "attribute_map": {}, "location_map": {}, "collection_format_map": {}, }, headers_map={ "accept": ["application/json"], "content_type": [], }, api_client=api_client, ) self._list_security_monitoring_rules_endpoint = _Endpoint( settings={ "response_type": (SecurityMonitoringListRulesResponse,), "auth": ["apiKeyAuth", "appKeyAuth"], "endpoint_path": "/api/v2/security_monitoring/rules", "operation_id": "list_security_monitoring_rules", "http_method": "GET", "servers": None, }, params_map={ "all": [ "page_size", "page_number", ], "required": [], "nullable": [], "enum": [], "validation": [], }, root_map={ "validations": {}, "allowed_values": {}, "openapi_types": { "page_size": (int,), "page_number": (int,), }, "attribute_map": { "page_size": "page[size]", "page_number": "page[number]", }, "location_map": { "page_size": "query", "page_number": "query", }, "collection_format_map": {}, }, headers_map={ "accept": ["application/json"], "content_type": [], }, api_client=api_client, ) self._list_security_monitoring_signals_endpoint = _Endpoint( settings={ "response_type": (SecurityMonitoringSignalsListResponse,), "auth": ["apiKeyAuth", "appKeyAuth"], "endpoint_path": "/api/v2/security_monitoring/signals", "operation_id": "list_security_monitoring_signals", "http_method": "GET", "servers": None, }, params_map={ "all": [ "filter_query", "filter_from", "filter_to", "sort", "page_cursor", "page_limit", ], "required": [], "nullable": [], "enum": [], "validation": [ "page_limit", ], }, root_map={ "validations": { ("page_limit",): { "inclusive_maximum": 1000, }, }, "allowed_values": {}, "openapi_types": { "filter_query": (str,), "filter_from": (datetime,), "filter_to": (datetime,), "sort": (SecurityMonitoringSignalsSort,), "page_cursor": (str,), "page_limit": (int,), }, "attribute_map": { "filter_query": "filter[query]", "filter_from": "filter[from]", "filter_to": "filter[to]", "sort": "sort", "page_cursor": "page[cursor]", "page_limit": "page[limit]", }, "location_map": { "filter_query": "query", "filter_from": "query", "filter_to": "query", "sort": "query", "page_cursor": "query", "page_limit": "query", }, "collection_format_map": {}, }, headers_map={ "accept": ["application/json"], "content_type": [], }, api_client=api_client, ) self._search_security_monitoring_signals_endpoint = _Endpoint( settings={ "response_type": (SecurityMonitoringSignalsListResponse,), "auth": ["apiKeyAuth", "appKeyAuth"], "endpoint_path": "/api/v2/security_monitoring/signals/search", "operation_id": "search_security_monitoring_signals", "http_method": "POST", "servers": None, }, params_map={ "all": [ "body", ], "required": [], "nullable": [], "enum": [], "validation": [], }, root_map={ "validations": {}, "allowed_values": {}, "openapi_types": { "body": (SecurityMonitoringSignalListRequest,), }, "attribute_map": {}, "location_map": { "body": "body", }, "collection_format_map": {}, }, headers_map={"accept": ["application/json"], "content_type": ["application/json"]}, api_client=api_client, ) self._update_security_filter_endpoint = _Endpoint( settings={ "response_type": (SecurityFilterResponse,), "auth": ["apiKeyAuth", "appKeyAuth"], "endpoint_path": "/api/v2/security_monitoring/configuration/security_filters/{security_filter_id}", "operation_id": "update_security_filter", "http_method": "PATCH", "servers": None, }, params_map={ "all": [ "security_filter_id", "body", ], "required": [ "security_filter_id", "body", ], "nullable": [], "enum": [], "validation": [], }, root_map={ "validations": {}, "allowed_values": {}, "openapi_types": { "security_filter_id": (str,), "body": (SecurityFilterUpdateRequest,), }, "attribute_map": { "security_filter_id": "security_filter_id", }, "location_map": { "security_filter_id": "path", "body": "body", }, "collection_format_map": {}, }, headers_map={"accept": ["application/json"], "content_type": ["application/json"]}, api_client=api_client, ) self._update_security_monitoring_rule_endpoint = _Endpoint( settings={ "response_type": (SecurityMonitoringRuleResponse,), "auth": ["apiKeyAuth", "appKeyAuth"], "endpoint_path": "/api/v2/security_monitoring/rules/{rule_id}", "operation_id": "update_security_monitoring_rule", "http_method": "PUT", "servers": None, }, params_map={ "all": [ "rule_id", "body", ], "required": [ "rule_id", "body", ], "nullable": [], "enum": [], "validation": [], }, root_map={ "validations": {}, "allowed_values": {}, "openapi_types": { "rule_id": (str,), "body": (SecurityMonitoringRuleUpdatePayload,), }, "attribute_map": { "rule_id": "rule_id", }, "location_map": { "rule_id": "path", "body": "body", }, "collection_format_map": {}, }, headers_map={"accept": ["application/json"], "content_type": ["application/json"]}, api_client=api_client, ) def create_security_filter(self, body, **kwargs): """Create a security filter # noqa: E501 Create a security filter. See the [security filter guide](https://docs.datadoghq.com/security_platform/guide/how-to-setup-security-filters-using-security-monitoring-api/) for more examples. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_security_filter(body, async_req=True) >>> result = thread.get() Args: body (SecurityFilterCreateRequest): The definition of the new security filter. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: SecurityFilterResponse If the method is called asynchronously, returns the request thread. """ kwargs = self._create_security_filter_endpoint.default_arguments(kwargs) kwargs["body"] = body return self._create_security_filter_endpoint.call_with_http_info(**kwargs) def create_security_monitoring_rule(self, body, **kwargs): """Create a detection rule # noqa: E501 Create a detection rule. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_security_monitoring_rule(body, async_req=True) >>> result = thread.get() Args: body (SecurityMonitoringRuleCreatePayload): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: SecurityMonitoringRuleResponse If the method is called asynchronously, returns the request thread. """ kwargs = self._create_security_monitoring_rule_endpoint.default_arguments(kwargs) kwargs["body"] = body return self._create_security_monitoring_rule_endpoint.call_with_http_info(**kwargs) def delete_security_filter(self, security_filter_id, **kwargs): """Delete a security filter # noqa: E501 Delete a specific security filter. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_security_filter(security_filter_id, async_req=True) >>> result = thread.get() Args: security_filter_id (str): The ID of the security filter. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: SecurityFilterDeleteResponse If the method is called asynchronously, returns the request thread. """ kwargs = self._delete_security_filter_endpoint.default_arguments(kwargs) kwargs["security_filter_id"] = security_filter_id return self._delete_security_filter_endpoint.call_with_http_info(**kwargs) def delete_security_monitoring_rule(self, rule_id, **kwargs): """Delete an existing rule # noqa: E501 Delete an existing rule. Default rules cannot be deleted. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_security_monitoring_rule(rule_id, async_req=True) >>> result = thread.get() Args: rule_id (str): The ID of the rule. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: None If the method is called asynchronously, returns the request thread. """ kwargs = self._delete_security_monitoring_rule_endpoint.default_arguments(kwargs) kwargs["rule_id"] = rule_id return self._delete_security_monitoring_rule_endpoint.call_with_http_info(**kwargs) def get_security_filter(self, security_filter_id, **kwargs): """Get a security filter # noqa: E501 Get the details of a specific security filter. See the [security filter guide](https://docs.datadoghq.com/security_platform/guide/how-to-setup-security-filters-using-security-monitoring-api/) for more examples. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_security_filter(security_filter_id, async_req=True) >>> result = thread.get() Args: security_filter_id (str): The ID of the security filter. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: SecurityFilterResponse If the method is called asynchronously, returns the request thread. """ kwargs = self._get_security_filter_endpoint.default_arguments(kwargs) kwargs["security_filter_id"] = security_filter_id return self._get_security_filter_endpoint.call_with_http_info(**kwargs) def get_security_monitoring_rule(self, rule_id, **kwargs): """Get a rule's details # noqa: E501 Get a rule's details. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_security_monitoring_rule(rule_id, async_req=True) >>> result = thread.get() Args: rule_id (str): The ID of the rule. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: SecurityMonitoringRuleResponse If the method is called asynchronously, returns the request thread. """ kwargs = self._get_security_monitoring_rule_endpoint.default_arguments(kwargs) kwargs["rule_id"] = rule_id return self._get_security_monitoring_rule_endpoint.call_with_http_info(**kwargs) def list_security_filters(self, **kwargs): """Get all security filters # noqa: E501 Get the list of configured security filters with their definitions. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_security_filters(async_req=True) >>> result = thread.get() Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: SecurityFiltersResponse If the method is called asynchronously, returns the request thread. """ kwargs = self._list_security_filters_endpoint.default_arguments(kwargs) return self._list_security_filters_endpoint.call_with_http_info(**kwargs) def list_security_monitoring_rules(self, **kwargs): """List rules # noqa: E501 List rules. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_security_monitoring_rules(async_req=True) >>> result = thread.get() Keyword Args: page_size (int): Size for a given page.. [optional] if omitted the server will use the default value of 10 page_number (int): Specific page number to return.. [optional] if omitted the server will use the default value of 0 _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: SecurityMonitoringListRulesResponse If the method is called asynchronously, returns the request thread. """ kwargs = self._list_security_monitoring_rules_endpoint.default_arguments(kwargs) return self._list_security_monitoring_rules_endpoint.call_with_http_info(**kwargs) def list_security_monitoring_signals(self, **kwargs): """Get a quick list of security signals # noqa: E501 The list endpoint returns security signals that match a search query. Both this endpoint and the POST endpoint can be used interchangeably when listing security signals. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_security_monitoring_signals(async_req=True) >>> result = thread.get() Keyword Args: filter_query (str): The search query for security signals.. [optional] filter_from (datetime): The minimum timestamp for requested security signals.. [optional] filter_to (datetime): The maximum timestamp for requested security signals.. [optional] sort (SecurityMonitoringSignalsSort): The order of the security signals in results.. [optional] page_cursor (str): A list of results using the cursor provided in the previous query.. [optional] page_limit (int): The maximum number of security signals in the response.. [optional] if omitted the server will use the default value of 10 _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: SecurityMonitoringSignalsListResponse If the method is called asynchronously, returns the request thread. """ kwargs = self._list_security_monitoring_signals_endpoint.default_arguments(kwargs) return self._list_security_monitoring_signals_endpoint.call_with_http_info(**kwargs) def search_security_monitoring_signals(self, **kwargs): """Get a list of security signals # noqa: E501 Returns security signals that match a search query. Both this endpoint and the GET endpoint can be used interchangeably for listing security signals. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.search_security_monitoring_signals(async_req=True) >>> result = thread.get() Keyword Args: body (SecurityMonitoringSignalListRequest): [optional] _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: SecurityMonitoringSignalsListResponse If the method is called asynchronously, returns the request thread. """ kwargs = self._search_security_monitoring_signals_endpoint.default_arguments(kwargs) return self._search_security_monitoring_signals_endpoint.call_with_http_info(**kwargs) def update_security_filter(self, security_filter_id, body, **kwargs): """Update a security filter # noqa: E501 Update a specific security filter. Returns the security filter object when the request is successful. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_security_filter(security_filter_id, body, async_req=True) >>> result = thread.get() Args: security_filter_id (str): The ID of the security filter. body (SecurityFilterUpdateRequest): New definition of the security filter. Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: SecurityFilterResponse If the method is called asynchronously, returns the request thread. """ kwargs = self._update_security_filter_endpoint.default_arguments(kwargs) kwargs["security_filter_id"] = security_filter_id kwargs["body"] = body return self._update_security_filter_endpoint.call_with_http_info(**kwargs) def update_security_monitoring_rule(self, rule_id, body, **kwargs): """Update an existing rule # noqa: E501 Update an existing rule. When updating `cases`, `queries` or `options`, the whole field must be included. For example, when modifying a query all queries must be included. Default rules can only be updated to be enabled and to change notifications. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_security_monitoring_rule(rule_id, body, async_req=True) >>> result = thread.get() Args: rule_id (str): The ID of the rule. body (SecurityMonitoringRuleUpdatePayload): Keyword Args: _return_http_data_only (bool): response data without head status code and headers. Default is True. _preload_content (bool): if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. _request_timeout (float/tuple): timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. Default is None. _check_input_type (bool): specifies if type checking should be done one the data sent to the server. Default is True. _check_return_type (bool): specifies if type checking should be done one the data received from the server. Default is True. _host_index (int/None): specifies the index of the server that we want to use. Default is read from the configuration. async_req (bool): execute request asynchronously Returns: SecurityMonitoringRuleResponse If the method is called asynchronously, returns the request thread. """ kwargs = self._update_security_monitoring_rule_endpoint.default_arguments(kwargs) kwargs["rule_id"] = rule_id kwargs["body"] = body return self._update_security_monitoring_rule_endpoint.call_with_http_info(**kwargs)

43.237369

270

0.555979

4,431

45,356

5.466712

0.063417

0.046237

0.025761

0.018825

0.853486

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0

0.004662

0.361606

45,356

1,048

271

43.278626

0.831912

0.438817

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0.07804

0

null

0

1

0

null

0

6

2c99eb1e22e1c0db7f76d9a667ff686a618cf762

250

py

Python

Practice_problems/Edabit/Edaaaaabit.py

riyabhatia26/Python-Programming

2882728982c15c3b6380033eb2e90761b538dd93

[ "MIT" ]

3

2020-08-07T04:33:19.000Z

2021-10-06T08:58:01.000Z

Practice_problems/Edabit/Edaaaaabit.py

riyabhatia26/Python-Programming

2882728982c15c3b6380033eb2e90761b538dd93

[ "MIT" ]

null

Practice_problems/Edabit/Edaaaaabit.py

riyabhatia26/Python-Programming

2882728982c15c3b6380033eb2e90761b538dd93

[ "MIT" ]

2

2021-10-06T08:58:05.000Z

2021-10-06T09:46:42.000Z

# Edaaaaabit # Write a function that takes an integer and returns a string with the given number of "a"s in Edabit. def how_many_times(num): return 'Ed{0}bit'.format("a" * num) print(how_many_times(5)) #Edaaaaabit print(how_many_times(0)) #Edbit

27.777778

102

0.744

45

250

4

0.711111

0.116667

0.2

0.188889

0

0.014019

0.144

250

8

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31.25

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0.25

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null

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1

0

1

0

1

0

6

2cb3b612dba0afbad5a1643b10a05254e9e0291c

6,885

py

Python

Count_Fre.py

jasonwho321/Guangxin

60ce419d1bd8d58c470a2b69ce8baadd0cb1671c

[ "MIT" ]

null

Count_Fre.py

jasonwho321/Guangxin

60ce419d1bd8d58c470a2b69ce8baadd0cb1671c

[ "MIT" ]

null

Count_Fre.py

jasonwho321/Guangxin

60ce419d1bd8d58c470a2b69ce8baadd0cb1671c

[ "MIT" ]

null

import pandas as pd import xlwings as xw import math def Get_Inven(): df = pd.read_csv(r'E:\OneDrive\露露\22-03-15-Inventorys (2)(1).csv') df1 = pd.DataFrame(df,columns=['Goods Name','Packing Size','Gross Weight']) df_2 = df1['Packing Size'].str.split('*',expand=True) df1 = pd.concat([df1,df_2],axis=1) df1 = df1.rename(columns={0:'Long',1:'Width',2:'Height'}) df1 = pd.DataFrame(df1,columns=['Goods Name','Packing Size','Gross Weight','Long','Width','Height']) return df1 def Get_Inven1(): df = pd.read_csv(r'E:\OneDrive\露露\邮费.csv') df1 = pd.DataFrame(df,columns=['Goods Name','Packing Size','Gross Weight','Long','Width','Height']) return df,df1 def Get_Fed1_price(): app = xw.App(visible=True,add_book=False) book = app.books.open(r'E:\OneDrive\露露\物流对外报价\20210118 lsq+phl 对外报价-Noya提供.xlsx') sheet = book.sheets[0] value = sheet.range('B5:J155').options(pd.DataFrame,header=1,index=0).value book.close() app.quit() return value def Get_UPS_Price(): app = xw.App(visible=True,add_book=False) book = app.books.open(r'E:\OneDrive\露露\220128 ups 报价--rancho ontario atlanta us lax us ccp us aus us jfk us alt .xlsx') sheet = book.sheets[0] value = sheet.range('A2:I152').options(pd.DataFrame,header=1,index=0).value book.close() app.quit() return value def Coun_UPS_Fre(df1,value): fre_list = [] for i in range(len(df1)): print(i) dic = df1.iloc[i].to_dict() freight = 0.00 L = float(dic['Long']) W = float(dic['Width']) H = float(dic['Height']) GW = float(dic['Gross Weight']) LWH_list = [L,W,H] LWH_list.sort() try: if GW > 67.5 or LWH_list[-1] > 274 or (L+2*(W+H))>419: freight = 9999.00 else: GWLBS = GW/0.45 VOL = (L*0.3937*W*0.3937*H*0.3937)/139 WG_list = [GWLBS,VOL] WG_list.sort() FinalGW = WG_list[-1] FinalGW = math.ceil(FinalGW) if GWLBS > 50.0: Over_Wet = 20.4 else: Over_Wet = 0.0 if LWH_list[-1] > 121.0 or LWH_list[-2] > 76.0 or 330.0>=(L+2*(W+H))>266.0: Over_lon = 10.7 else: Over_lon = 0.0 if 419.0>=(L+2*(W+H))>330.0: Over_Vol = 110.0 if Over_lon != 0.0 and FinalGW < 90: FinalGW = 90 else: Over_Vol = 0.0 house_fee = 3.8 base_Fre = value.loc[value['≤磅/lbs']==float(FinalGW),'Zone 8'] base_Fre = float(base_Fre.iloc[0]) add_up = base_Fre+Over_Vol+Over_Wet+Over_lon+house_fee Fuel_add = add_up*0.13 freight = freight+Fuel_add+add_up except: freight = "NA" fre_list.append(freight) df1['UPS_Freight'] = fre_list df1.to_csv(r'E:\OneDrive\露露\邮费.csv') def Coun_Fedex_Fre(df1,value): fre_list = [] for i in range(len(df1)): print(i) dic = df1.iloc[i].to_dict() freight = 0.00 L = float(dic['Long']) W = float(dic['Width']) H = float(dic['Height']) GW = float(dic['Gross Weight']) LWH_list = [L,W,H] LWH_list.sort() try: if GW > 67.5 or LWH_list[-1] > 274 or (LWH_list[-1]+2*(LWH_list[-2]+LWH_list[-3]))>419: freight = 9999.00 else: GWLBS = GW/0.45 VOL = (L*0.3937*W*0.3937*H*0.3937)/250 WG_list = [GWLBS,VOL] WG_list.sort() FinalGW = WG_list[-1] FinalGW = math.ceil(FinalGW) Over_Wet = 0.0 if LWH_list[-1] > 243.84 or (LWH_list[-1]+2*(LWH_list[-2]+LWH_list[-3]))>330.0: Over_Vol = 48.4 if FinalGW < 90: FinalGW = 90 else: Over_Vol = 0.0 AHS = 0.0 if (LWH_list[-1] + 2 * (LWH_list[-2] + LWH_list[-3])) < 330.0: if GWLBS > 50: AHS+=11.55 if LWH_list[-1] > 122 or LWH_list[-2] > 76.2 or (L+2*(W+H))*0.3937>267: AHS += 8.8 house_fee = 4.95 base_Fre = value.loc[value['≤磅/lbs']==float(FinalGW),'Zone 8'] base_Fre = float(base_Fre.iloc[0]) add_up = base_Fre+Over_Vol+Over_Wet++house_fee freight = freight++add_up except: freight = "NA" fre_list.append(freight) df1['Fedex_Freight'] = fre_list df1.to_csv(r'E:\OneDrive\露露\邮费.csv') def Coun_Fed1_Fre(df1,value,df): fre_list = [] for i in range(len(df1)): print(i) dic = df1.iloc[i].to_dict() freight = 0.00 L = float(dic['Long']) W = float(dic['Width']) H = float(dic['Height']) GW = float(dic['Gross Weight']) LWH_list = [L,W,H] LWH_list.sort() try: if GW > 67.5 or LWH_list[-1] > 274 or (L+2*(W+H))>419: freight = 9999.00 else: GWLBS = GW/0.45 VOL = (L*0.3937*W*0.3937*H*0.3937)/194 WG_list = [GWLBS,VOL] WG_list.sort() FinalGW = WG_list[-1] FinalGW = math.ceil(FinalGW) if GWLBS > 50.0: Over_Wet = 17.05+5.39 else: Over_Wet = 0.0 if LWH_list[-1] > 121.0 or LWH_list[-2] > 76.0 or 330.0>=(L+2*(W+H))>266.0: Over_lon = 10.45+5.39 else: Over_lon = 0.0 if 419.0>=(L+2*(W+H))>330.0 or LWH_list[-1] > 243.0: Over_Vol = 71.5+29.15 if Over_lon != 0.0 and FinalGW < 90: FinalGW = 90 else: Over_Vol = 0.0 house_fee = 3.85 base_Fre = value.loc[value['Lbs.']==float(FinalGW),'Zone 8'] base_Fre = float(base_Fre.iloc[0]) add_up = base_Fre+Over_Vol+Over_Wet+Over_lon+house_fee Fuel_add = add_up*0.13 freight = freight+Fuel_add+add_up except: freight = "NA" fre_list.append(freight) df['Fed1_Freight'] = fre_list df.to_csv(r'E:\OneDrive\露露\邮费.csv') def main_ups(): df1 = Get_Inven() value = Get_UPS_Price() Coun_UPS_Fre(df1,value) def main_Fed1(): df,df1 = Get_Inven1() value = Get_Fed1_price() Coun_Fed1_Fre(df1,value,df) if __name__ == '__main__': main_Fed1()

31.582569

123

0.486275

993

6,885

3.225579

0.176234

0.056822

0.027474

0.026225

0.809866

0.790197

0.777084

0.77646

0.734312

0.716828

0

0.093944

0.369208

6,885

218

124

31.582569

0.643104

0

0.638889

0

0.005556

0.089602

0.024543

0

1

0.05

false

0

0.016667

0

0.088889

0.016667

0

null

0

1

0

null

0

6

e2fbdffb1579e50e813dc5a1c88f1a5bb1186111

311

py

Python

test/suite/out/E27.py

shardros/autopep8

2ab2ea74668b10f3910f3d5b9526494fa5671ca1

[ "MIT" ]

3,459

2015-01-03T15:53:43.000Z

2022-03-31T16:33:01.000Z

test/suite/out/E27.py

hayata-yamamoto/autopep8

107e29dce22c7b367a36633a78735278e4ad4288

[ "MIT" ]

435

2015-01-03T12:58:44.000Z

2022-03-29T12:37:13.000Z

test/suite/out/E27.py

hayata-yamamoto/autopep8

107e29dce22c7b367a36633a78735278e4ad4288

[ "MIT" ]

279

2015-03-16T16:34:51.000Z

2022-03-26T23:58:48.000Z

#: Okay True and False #: E271 True and False #: E272 True and False #: E271 if 1: #: E273 True and False #: E273 E274 True and False #: E271 a and b #: E271 1 and b #: E271 a and 2 #: E271 E272 1 and b #: E271 E272 a and 2 #: E272 this and False #: E273 a and b #: E274 a and b #: E273 E274 this and False

10.032258

14

0.636656

63

311

3.142857

0.222222

0.282828

0.30303

0.242424

0

0.257642

0.263666

311

30

15

10.366667

0.606987

0.353698

0

0.933333

0

null

0

null

0

null

1

0

1

0

1

0

null

0

1

0

6

390ea587d4dd26a91596c78ff8d9661d87d43eac

13,330

py

Python

tests/test_logger.py

TahaEntezari/ramstk

f82e5b31ef5c4e33cc02252263247b99a9abe129

[ "BSD-3-Clause" ]

26

2019-05-15T02:03:47.000Z

2022-02-21T07:28:11.000Z

tests/test_logger.py

TahaEntezari/ramstk

f82e5b31ef5c4e33cc02252263247b99a9abe129

[ "BSD-3-Clause" ]

815

2019-05-10T12:31:52.000Z

2022-03-31T12:56:26.000Z

tests/test_logger.py

TahaEntezari/ramstk

f82e5b31ef5c4e33cc02252263247b99a9abe129

[ "BSD-3-Clause" ]

9

2019-04-20T23:06:29.000Z

2022-01-24T21:21:04.000Z

# pylint: skip-file # type: ignore # -*- coding: utf-8 -*- # # tests.test_utilities.py is part of The RAMSTK Project # # All rights reserved. # Copyright 2007 - 2017 Doyle Rowland doyle.rowland <AT> reliaqual <DOT> com """Test class for testing the Utilities module algorithms and models.""" # Standard Library Imports import logging import os # Third Party Imports import pytest from pubsub import pub # RAMSTK Package Imports from ramstk import RAMSTKLogManager class TestLogManager: """Test class for RAMSTKLogManager methods.""" def test_create_log_manager(self): """__init__() should create an instance of the RAMSTKLogManager.""" _testlog = "./test_info.log" if os.path.exists(_testlog): os.remove(_testlog) DUT = RAMSTKLogManager(_testlog) assert isinstance(DUT, RAMSTKLogManager) assert isinstance(DUT.loggers["ramstk.logger"], logging.Logger) assert DUT.log_file == _testlog assert pub.isSubscribed(DUT._do_log_fail_message, "fail_delete_fmea") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_action") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_cause") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_control") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_mechanism") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_mode") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_update_fmea") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_delete_function") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_delete_hazard") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_function") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_hazard") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_update_function") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_hardware") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_validation") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_stakeholder") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_revision") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_environment") assert pub.isSubscribed( DUT._do_log_fail_message, "fail_insert_failure_definition" ) assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_mission") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_mission_phase") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_requirement") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_opload") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_opstress") assert pub.isSubscribed(DUT._do_log_fail_message, "fail_insert_test_method") @pytest.mark.unit def test_log_fail_messages(self): """_do_log_fail_message() should be called when fail_* messages are broadcast and log the associated error message.""" _testlog = "./test_info.log" if os.path.exists(_testlog): os.remove(_testlog) DUT = RAMSTKLogManager(_testlog) DUT.do_create_logger("DEBUG", "DEBUG", True) pub.sendMessage( "fail_delete_fmea", error_message=("Attempted to delete non-existent " "FMEA element ID ax."), ) pub.sendMessage( "fail_update_fmea", error_message=( "Attempted to save non-existent FMEA " "element with FMEA ID ax." ), ) _test_log = open(_testlog, "r") _lines = _test_log.readlines() assert isinstance(DUT.loggers["DEBUG"], logging.Logger) assert _lines[0].split(":", 5)[-1].strip() == ( "Attempted to delete non-existent FMEA element ID ax." ) assert _lines[1].split(":", 5)[-1].strip() == ( "Attempted to save non-existent FMEA element with FMEA ID ax." ) @pytest.mark.unit def test_do_log_debug(self): """do_log_debug() should be called when the do_log_debug_msg message is broadcast and log the associated debug message.""" _testlog = "./test_info.log" if os.path.exists(_testlog): os.remove(_testlog) DUT = RAMSTKLogManager(_testlog) DUT.do_create_logger("DEBUG", "DEBUG", True) pub.sendMessage( "do_log_debug_msg", logger_name="DEBUG", message="Test DEBUG message sent and logged.", ) _test_log = open(_testlog, "r") _lines = _test_log.readlines() assert isinstance(DUT.loggers["DEBUG"], logging.Logger) assert _lines[0].split(":", 5)[-1].strip() == ( "Test DEBUG message sent and logged." ) @pytest.mark.unit def test_do_log_info(self): """do_log_info() should be called when the do_log_info_msg message is broadcast and log the associated debug message.""" _testlog = "./test_info.log" if os.path.exists(_testlog): os.remove(_testlog) DUT = RAMSTKLogManager(_testlog) DUT.do_create_logger("INFO", "INFO", True) pub.sendMessage( "do_log_info_msg", logger_name="INFO", message="Test INFO message sent and logged.", ) _test_log = open(_testlog, "r") _lines = _test_log.readlines() assert isinstance(DUT.loggers["INFO"], logging.Logger) assert _lines[0].split(":", 5)[-1].strip() == ( "Test INFO message sent and logged." ) @pytest.mark.unit def test_do_log_info_ignore_debug(self): """do_log_info() should not be called when the do_log_debug_msg message is broadcast and the log level is INFO.""" _testlog = "./test_info.log" if os.path.exists(_testlog): os.remove(_testlog) DUT = RAMSTKLogManager(_testlog) DUT.do_create_logger("INFO", "INFO", True) pub.sendMessage( "do_log_debug_msg", logger_name="INFO", message="Test DEBUG message sent and logged.", ) _test_log = open(_testlog, "r") _lines = _test_log.readlines() assert isinstance(DUT.loggers["INFO"], logging.Logger) assert _lines == [] @pytest.mark.unit def test_do_log_info_higher_level_messages(self): """do_log_info() should log WARN, ERROR, and CRITICAL level information when it is an INFO log manager.""" _testlog = "./test_info.log" if os.path.exists(_testlog): os.remove(_testlog) DUT = RAMSTKLogManager(_testlog) DUT.do_create_logger("INFO", "INFO") pub.sendMessage( "do_log_warning_msg", logger_name="INFO", message="Test WARN message sent and logged.", ) pub.sendMessage( "do_log_error_msg", logger_name="INFO", message="Test ERROR message sent and logged.", ) pub.sendMessage( "do_log_critical_msg", logger_name="INFO", message="Test CRITICAL message sent and logged.", ) _test_log = open(_testlog, "r") _lines = _test_log.readlines() assert isinstance(DUT.loggers["INFO"], logging.Logger) assert _lines[0].split(":", 5)[-1].strip() == ( "Test WARN message sent and logged." ) assert _lines[1].split(":", 5)[-1].strip() == ( "Test ERROR message sent and logged." ) assert _lines[2].split(":", 5)[-1].strip() == ( "Test CRITICAL message sent and logged." ) @pytest.mark.unit def test_do_log_warning(self): """do_log_warning() should be called when the do_log_warning_msg message is broadcast and log the associated debug message.""" _testlog = "./test_info.log" if os.path.exists(_testlog): os.remove(_testlog) DUT = RAMSTKLogManager(_testlog) DUT.do_create_logger("WARN", "WARN", True) pub.sendMessage( "do_log_warning_msg", logger_name="WARN", message="Test WARN message sent and logged.", ) _test_log = open(_testlog, "r") _lines = _test_log.readlines() assert isinstance(DUT.loggers["WARN"], logging.Logger) assert _lines[0].split(":", 5)[-1].strip() == ( "Test WARN message sent and logged." ) @pytest.mark.unit def test_do_log_warning_ignore_debug_info(self): """do_log_warning() should not log a debug or info message.""" _testlog = "./test_info.log" if os.path.exists(_testlog): os.remove(_testlog) DUT = RAMSTKLogManager(_testlog) DUT.do_create_logger("WARN", "WARN", True) pub.sendMessage( "do_log_debug_msg", logger_name="WARN", message="Test DEBUG message sent and logged.", ) pub.sendMessage( "do_log_info_msg", logger_name="WARN", message="Test INFO message sent and logged.", ) _test_log = open(_testlog, "r") _lines = _test_log.readlines() assert isinstance(DUT.loggers["WARN"], logging.Logger) assert _lines == [] @pytest.mark.unit def test_do_log_error(self): """do_log_error() should be called when the do_log_error_msg message is broadcast and log the associated debug message.""" _testlog = "./test_info.log" if os.path.exists(_testlog): os.remove(_testlog) DUT = RAMSTKLogManager(_testlog) DUT.do_create_logger("ERROR", "ERROR", True) pub.sendMessage( "do_log_error_msg", logger_name="ERROR", message="Test ERROR message sent and logged.", ) _test_log = open(_testlog, "r") _lines = _test_log.readlines() assert isinstance(DUT.loggers["ERROR"], logging.Logger) assert _lines[0].split(":", 5)[-1].strip() == ( "Test ERROR message sent and logged." ) @pytest.mark.unit def test_do_log_error_ignore_debug_info_warning(self): """do_log_warning() should not log a debug, info, or warning message.""" _testlog = "./test_info.log" if os.path.exists(_testlog): os.remove(_testlog) DUT = RAMSTKLogManager(_testlog) DUT.do_create_logger("ERROR", "ERROR", True) pub.sendMessage( "do_log_debug_msg", logger_name="ERROR", message="Test DEBUG message sent and logged.", ) pub.sendMessage( "do_log_info_msg", logger_name="ERROR", message="Test INFO message sent and logged.", ) pub.sendMessage( "do_log_warning_msg", logger_name="ERROR", message="Test WARN message sent and logged.", ) _test_log = open(_testlog, "r") _lines = _test_log.readlines() assert isinstance(DUT.loggers["ERROR"], logging.Logger) assert _lines == [] @pytest.mark.unit def test_do_log_critical(self): """do_log_critical() should be called when the do_log_critical_msg message is broadcast and log the associated debug message.""" _testlog = "./test_info.log" if os.path.exists(_testlog): os.remove(_testlog) DUT = RAMSTKLogManager(_testlog) DUT.do_create_logger("CRITICAL", "CRITICAL", True) pub.sendMessage( "do_log_critical_msg", logger_name="CRITICAL", message="Test CRITICAL message sent and logged.", ) _test_log = open(_testlog, "r") _lines = _test_log.readlines() assert isinstance(DUT.loggers["CRITICAL"], logging.Logger) assert _lines[0].split(":", 5)[-1].strip() == ( "Test CRITICAL message sent and logged." ) @pytest.mark.unit def test_do_log_critical_ignore_debug_info_warning_error(self): """do_log_warning() should not log a debug, info, warning, or error message.""" _testlog = "./test_info.log" if os.path.exists(_testlog): os.remove(_testlog) DUT = RAMSTKLogManager(_testlog) DUT.do_create_logger("CRITICAL", "CRITICAL", True) pub.sendMessage( "do_log_debug_msg", logger_name="CRITICAL", message="Test DEBUG message sent and logged.", ) pub.sendMessage( "do_log_info_msg", logger_name="CRITICAL", message="Test INFO message sent and logged.", ) pub.sendMessage( "do_log_warning_msg", logger_name="CRITICAL", message="Test WARN message sent and logged.", ) pub.sendMessage( "do_log_error_msg", logger_name="CRITICAL", message="Test ERROR message sent and logged.", ) _test_log = open(_testlog, "r") _lines = _test_log.readlines() assert isinstance(DUT.loggers["CRITICAL"], logging.Logger) assert _lines == []

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null

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6

1a7f392205f1d62baeba222018a4c149daa3f7ce

33

py

Python

app/html_parser.py

s2t2/omniparser-prep-py

8528ce9df6976e919968086bb343f5a3c160cde0

[ "MIT" ]

1

2020-02-18T21:08:42.000Z

app/html_parser.py

s2t2/omniparser-prep-py

8528ce9df6976e919968086bb343f5a3c160cde0

[ "MIT" ]

null

app/html_parser.py

s2t2/omniparser-prep-py

8528ce9df6976e919968086bb343f5a3c160cde0

[ "MIT" ]

null

print("PARSING AN HTML FILE...")

16.5

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4.4

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null

0

1

0

1

0

6

202e4cbc47d4e4c8d8f580045f2e47007aa40634

32

py

Python

src/greenbudget/lib/utils/__init__.py

nickmflorin/django-proper-architecture-testing

da7c4019697e85f921695144375d2f548f1e98ad

[ "MIT" ]

null

src/greenbudget/lib/utils/__init__.py

nickmflorin/django-proper-architecture-testing

da7c4019697e85f921695144375d2f548f1e98ad

[ "MIT" ]

null

src/greenbudget/lib/utils/__init__.py

nickmflorin/django-proper-architecture-testing

da7c4019697e85f921695144375d2f548f1e98ad

[ "MIT" ]

null

from .builtins import * # noqa

16

31

0.6875

4

32

5.5

1

0

0.21875

32

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32

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null

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1

0

1

0

1

0

6

6443e0c6434bd98dc8cf2138075882567a64ec85

2,010

py

Python

test_utils.py

kaarne/splitgram

cdc4a8172f4737b0f4a84277978128b5fb01633f

[ "MIT" ]

1

2022-02-18T11:10:17.000Z

test_utils.py

kaarne/splitgram

cdc4a8172f4737b0f4a84277978128b5fb01633f

[ "MIT" ]

null

test_utils.py

kaarne/splitgram

cdc4a8172f4737b0f4a84277978128b5fb01633f

[ "MIT" ]

null

from utils import parse_message, split_costs def test_parse(): assert parse_message(None) is None assert parse_message('lorem') is None assert parse_message('lorem 19.99') is None assert parse_message('99999') is None assert parse_message('-99999') is None assert parse_message(1) is None assert parse_message('19.99') == 19.99 assert parse_message('19,99') == 19.99 assert parse_message('19.99 lorem') == 19.99 def test_split(): assert split_costs(None) == {} assert split_costs({}) == {} assert split_costs({'a': 0, 'b': 0}) == {} assert split_costs({'a': 10, 'b': 0}) == {'b': {'a': 5}} assert split_costs({'a': 0, 'b': 10}) == {'a': {'b': 5}} assert split_costs({'a': 10, 'b': 10}) == {} assert split_costs({'a': 10.68888, 'b': 0}) == {'b': {'a': 5.34444}} assert split_costs({'a': 0, 'b': 10.68888}) == {'a': {'b': 5.34444}} assert split_costs({'a': -10, 'b': 10}) == {'a': {'b': 10}} assert split_costs({'a': -10, 'b': -10}) == {} assert split_costs({'a': 0, 'b': 200, 'c': 100}) == {'a': {'b': 100}} assert split_costs({'a': 0, 'b': 100, 'c': 200}) == {'a': {'c': 100}} assert split_costs({'a': 100, 'b': 200, 'c': 0}) == {'c': {'b': 100}} assert split_costs({'a': 100, 'b': 0, 'c': 200}) == {'b': {'c': 100}} assert split_costs({'a': 200, 'b': 100, 'c': 0}) == {'c': {'a': 100}} assert split_costs({'a': 200, 'b': 0, 'c': 100}) == {'b': {'a': 100}} assert split_costs({'a': 1000, 'b': 0, 'c': 600, 'd': 0}) == \ {'b': {'a': 400}, 'd': {'a': 200, 'c': 200}} assert split_costs({'a': 100, 'b': 100, 'c': 0, 'd': 100, 'e': 100}) == \ {'c': {'a': 20.0, 'b': 20.0, 'd': 20.0, 'e': 20.0}} assert split_costs({'a': 1, 'b': 0, 'c': 1, 'd': 0, 'e': 1, 'f': 0}) == \ {'b': {'a': 0.5}, 'd': {'c': 0.5}, 'f': {'e': 0.5}} assert split_costs({'a': 0, 'b': 1, 'c': 0, 'd': 1, 'e': 0, 'f': 1}) == \ {'a': {'b': 0.5}, 'c': {'d': 0.5}, 'e': {'f': 0.5}}

45.681818

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326

2,010

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0.228509

0.348205

0.332971

0.688792

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0.457019

0.254625

0

0.139119

0.220398

2,010

43

78

46.744186

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0

0.073134

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0.805556

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0.055556

true

0

0.027778

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null

1

0

1

0

null

0

1

0

1

0

6

644be25440b0431b083c7883bf82ebafda7f81d2

551

py

Python

review/double_for_loop_list_comprehension.py

Rorima/exercicios-python

ca78e2d2402c2aa90efd95ccaa620c0a8b42444f

[ "MIT" ]

null

review/double_for_loop_list_comprehension.py

Rorima/exercicios-python

ca78e2d2402c2aa90efd95ccaa620c0a8b42444f

[ "MIT" ]

null

review/double_for_loop_list_comprehension.py

Rorima/exercicios-python

ca78e2d2402c2aa90efd95ccaa620c0a8b42444f

[ "MIT" ]

null

""" # Normal for loop my_list = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] for sub_list in my_list: for number in sub_list: print(number) # List comprehension my_list = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] numbers = [number for sub_list in my_list for number in sub_list] for i in numbers: print(i) # Maybe not a good practice my_list = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] [print(number) for sub_list in my_list for number in sub_list] """ my_list = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] [print(number) for sub_list in my_list for number in sub_list]

23.956522

65

0.6098

112

551

2.857143

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0.15

0.0875

0.1

0.725

0

0.083527

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551

22

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false

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0.5

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null

0

1

0

null

0

1

0

6

646f70e8f63f172c2d95fc5446123e23196c416e

140

py

Python

code/udls/__init__.py

acids-ircam/lottery_mir

1440d717d7fd688ac43c1a406602aaf2d5a3842d

[ "MIT" ]

10

2020-07-29T23:12:15.000Z

2022-03-23T16:27:43.000Z

code/udls/__init__.py

acids-ircam/lottery_mir

1440d717d7fd688ac43c1a406602aaf2d5a3842d

[ "MIT" ]

null

code/udls/__init__.py

acids-ircam/lottery_mir

1440d717d7fd688ac43c1a406602aaf2d5a3842d

[ "MIT" ]

1

2022-02-06T11:42:28.000Z

from .base_dataset import SimpleLMDBDataset from .domain_adaptation import DomainAdaptationDataset from .simple_dataset import SimpleDataset

46.666667

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0.9

15

140

8.2

0.666667

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0

0.078571

140

3

55

46.666667

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0

1

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true

0

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null

0

1

0

1

0

1

0

6

64c5a9c568e03e745ede2eb87d25d2ca722ca61d

7,121

gyp

Python

gyp/pixman_test.gyp

Frankie-666/color-emoji.skia

f1634a9952086155b9069d49ab91f1fa43b5ec6a

[ "BSD-3-Clause" ]

2

2017-05-19T08:53:12.000Z

2017-08-28T11:59:26.000Z

gyp/pixman_test.gyp

Frankie-666/color-emoji.skia

f1634a9952086155b9069d49ab91f1fa43b5ec6a

[ "BSD-3-Clause" ]

2

2017-07-25T09:37:22.000Z

2017-08-04T07:18:56.000Z

gyp/pixman_test.gyp

Frankie-666/color-emoji.skia

f1634a9952086155b9069d49ab91f1fa43b5ec6a

[ "BSD-3-Clause" ]

2

2017-08-09T09:03:23.000Z

2020-05-26T09:14:49.000Z

# GYP file to build unit tests. { 'includes': [ 'apptype_console.gypi', 'common.gypi', ], 'targets': [ { 'target_name': 'pixman_test', 'type': 'executable', 'mac_bundle' : 1, 'defines': [ 'HAVE_CONFIG_H', ], 'include_dirs' : [ '../src/core', '../experimental/pixman', '../experimental/SimpleCocoaApp', # needed to get SimpleApp.h ], 'sources': [ '../experimental/pixman/config.h', '../experimental/pixman/junk.cpp', # '../../../pixman/demos/alpha-test.c', '../../../pixman/demos/checkerboard.c', # '../../../pixman/demos/clip-in.c', # '../../../pixman/demos/clip-test.c', # '../../../pixman/demos/composite-test.c', # '../../../pixman/demos/convolution-test.c', # '../../../pixman/demos/gradient-test.c', # '../../../pixman/demos/gtk-utils.c', # '../../../pixman/demos/parrot.c', # '../../../pixman/demos/quad2quad.c', # '../../../pixman/demos/radial-test.c', # '../../../pixman/demos/screen-test.c', # '../../../pixman/demos/srgb-test.c', # '../../../pixman/demos/srgb-trap-test.c', # '../../../pixman/demos/trap-test.c', # '../../../pixman/demos/tri-test.c', '../../../pixman/demos/gtk-utils.h', # '../../../pixman/test/a1-trap-test.c', # '../../../pixman/test/affine-test.c', # '../../../pixman/test/alpha-loop.c', # '../../../pixman/test/alphamap.c', # '../../../pixman/test/blitters-test.c', # '../../../pixman/test/combiner-test.c', # '../../../pixman/test/composite-traps-test.c', # '../../../pixman/test/composite.c', # '../../../pixman/test/fetch-test.c', # '../../../pixman/test/glyph-test.c', # '../../../pixman/test/gradient-crash-test.c', # '../../../pixman/test/infinite-loop.c', # '../../../pixman/test/lowlevel-blt-bench.c', # '../../../pixman/test/oob-test.c', # '../../../pixman/test/pdf-op-test.c', # '../../../pixman/test/region-contains-test.c', # '../../../pixman/test/region-test.c', # '../../../pixman/test/region-translate-test.c', # '../../../pixman/test/rotate-test.c', # '../../../pixman/test/scaling-crash-test.c', # '../../../pixman/test/scaling-helpers-test.c', # '../../../pixman/test/scaling-test.c', # '../../../pixman/test/stress-test.c', # '../../../pixman/test/trap-crasher.c', '../../../pixman/test/utils.c', '../../../pixman/test/utils.h', '../../../pixman/pixman/pixman-access-accessors.c', '../../../pixman/pixman/pixman-access.c', # '../../../pixman/pixman/pixman-arm-neon.c', # '../../../pixman/pixman/pixman-arm-simd.c', '../../../pixman/pixman/pixman-arm.c', '../../../pixman/pixman/pixman-bits-image.c', '../../../pixman/pixman/pixman-combine-float.c', '../../../pixman/pixman/pixman-combine32.c', '../../../pixman/pixman/pixman-conical-gradient.c', '../../../pixman/pixman/pixman-edge-accessors.c', '../../../pixman/pixman/pixman-edge.c', '../../../pixman/pixman/pixman-fast-path.c', '../../../pixman/pixman/pixman-general.c', '../../../pixman/pixman/pixman-glyph.c', '../../../pixman/pixman/pixman-gradient-walker.c', '../../../pixman/pixman/pixman-image.c', '../../../pixman/pixman/pixman-implementation.c', '../../../pixman/pixman/pixman-linear-gradient.c', '../../../pixman/pixman/pixman-matrix.c', # '../../../pixman/pixman/pixman-mips-dspr2.c', '../../../pixman/pixman/pixman-mips.c', '../../../pixman/pixman/pixman-mmx.c', '../../../pixman/pixman/pixman-noop.c', '../../../pixman/pixman/pixman-ppc.c', '../../../pixman/pixman/pixman-radial-gradient.c', # '../../../pixman/pixman/pixman-region.c', '../../../pixman/pixman/pixman-region16.c', '../../../pixman/pixman/pixman-region32.c', '../../../pixman/pixman/pixman-solid-fill.c', '../../../pixman/pixman/pixman-sse2.c', '../../../pixman/pixman/pixman-timer.c', '../../../pixman/pixman/pixman-trap.c', '../../../pixman/pixman/pixman-utils.c', # '../../../pixman/pixman/pixman-vmx.c', '../../../pixman/pixman/pixman-x86.c', '../../../pixman/pixman/pixman.c', # '../../../pixman/pixman/pixman-arm-neon-asm-bilinear.S', # '../../../pixman/pixman/pixman-arm-neon-asm.S', # '../../../pixman/pixman/pixman-arm-simd-asm.S', # '../../../pixman/pixman/pixman-mips-dspr2-asm.S', # '../../../pixman/pixman/pixman-mips-memcpy-asm.S', '../../../pixman/pixman/loongson-mmintrin.h', '../../../pixman/pixman/pixman-accessor.h', '../../../pixman/pixman/pixman-arm-common.h', '../../../pixman/pixman/pixman-arm-neon-asm.h', '../../../pixman/pixman/pixman-combine32.h', '../../../pixman/pixman/pixman-compiler.h', '../../../pixman/pixman/pixman-edge-imp.h', '../../../pixman/pixman/pixman-inlines.h', '../../../pixman/pixman/pixman-mips-dspr2-asm.h', '../../../pixman/pixman/pixman-mips-dspr2.h', '../../../pixman/pixman/pixman-private.h', '../../../pixman/pixman/pixman.h', ], 'dependencies': [ 'skia_base_libs.gyp:skia_base_libs', 'effects.gyp:effects', 'experimental.gyp:experimental', 'images.gyp:images', 'pdf.gyp:pdf', 'views.gyp:views', 'xml.gyp:xml', ], 'conditions': [ [ 'skia_os in ["linux", "freebsd", "openbsd", "solaris"]', { }], [ 'skia_os == "win"', { }], [ 'skia_os == "mac"', { 'sources': [ # Mac files '../src/views/mac/SkEventNotifier.h', '../src/views/mac/SkEventNotifier.mm', '../src/views/mac/skia_mac.mm', '../src/views/mac/SkNSView.h', '../src/views/mac/SkNSView.mm', '../src/views/mac/SkOptionsTableView.h', '../src/views/mac/SkOptionsTableView.mm', '../src/views/mac/SkOSWindow_Mac.mm', '../src/views/mac/SkTextFieldCell.h', '../src/views/mac/SkTextFieldCell.m', ], 'libraries': [ '$(SDKROOT)/System/Library/Frameworks/QuartzCore.framework', '$(SDKROOT)/System/Library/Frameworks/OpenGL.framework', ], 'xcode_settings' : { 'INFOPLIST_FILE' : '../experimental/Intersection/EdgeDemoApp-Info.plist', }, 'mac_bundle_resources' : [ '../experimental/Intersection/EdgeDemoApp.xib', ], }], ], 'msvs_settings': { 'VCLinkerTool': { 'SubSystem': '2', 'AdditionalDependencies': [ 'd3d9.lib', ], }, }, }, ], } # Local Variables: # tab-width:2 # indent-tabs-mode:nil # End: # vim: set expandtab tabstop=2 shiftwidth=2:

40.005618

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0.223424

7,121

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true

0

null

1

0

1

null

0

1

0

6

64ce01c255b10789c6dc0565e482dde551e8eee4

4,988

py

Python

tests/functional/test_user_client.py

orached/itora_tuto

8de36d834fc7ef2dc8895ec7ac048fb420de76e3

[ "MIT" ]

null

tests/functional/test_user_client.py

orached/itora_tuto

8de36d834fc7ef2dc8895ec7ac048fb420de76e3

[ "MIT" ]

3

2020-03-24T18:03:03.000Z

2021-02-02T22:23:27.000Z

tests/functional/test_user_client.py

orached/itora_tuto

8de36d834fc7ef2dc8895ec7ac048fb420de76e3

[ "MIT" ]

null

import pytest def test_edit_profile(setUp, populate_db): """ GIVEN an anonymous User WHEN he tries to access to profile edition page THEN he is redirected to login page """ response = setUp.get('/edit_profile') assert response.status_code == 302 response = setUp.get('/edit_profile', follow_redirects=True) assert b"Please log in to access this page." in response.data """ GIVEN an authenticated User WHEN he access to profile edition page and post a modification THEN the profile modification is correctly processed """ # login with john's account response = setUp.post('/auth/login', data={ 'username': 'john', 'password': 'cat' }, follow_redirects=True) #john change his username to jojo response = setUp.post('/edit_profile', data={ 'username': 'jojo' }, follow_redirects=True) assert response.status_code == 200 assert "Vos modifications ont été enregistrées." in response.data.decode("utf-8") def test_follow_user(setUp, populate_db): """ GIVEN an anonymous User WHEN he tries to access follow user page THEN he is redirected to login page """ response = setUp.get('/follow/susan', follow_redirects=True) assert b"Please log in to access this page." in response.data # login with john's account response = setUp.post('/auth/login', data={ 'username': 'john', 'password': 'cat' }, follow_redirects=True) """ GIVEN an authenticated User WHEN he tries to follow himself THEN an error message is displayed """ response = setUp.get('/follow/john', follow_redirects=True) assert b"Vous ne pouvez pas vous suivre !" in response.data """ GIVEN an authenticated User WHEN he tries to follow an inexistent user THEN an error message is displayed """ response = setUp.get('/follow/inexistent', follow_redirects=True) assert b"Utilisateur inexistent introuvable." in response.data """ GIVEN an authenticated User WHEN he tries to follow a different user THEN it's processed correctly """ response = setUp.get('/follow/susan', follow_redirects=True) assert b"Vous suivez maintenant susan !" in response.data def test_unfollow_user(setUp, populate_db): """ GIVEN an anonymous User WHEN he tries to access unfollow user page THEN he is redirected to login page """ response = setUp.get('/unfollow/susan', follow_redirects=True) assert b"Please log in to access this page." in response.data # login with john's account response = setUp.post('/auth/login', data={ 'username': 'john', 'password': 'cat' }, follow_redirects=True) """ GIVEN an authenticated User WHEN he tries to unfollow himself THEN an error message is displayed """ response = setUp.get('/unfollow/john', follow_redirects=True) assert b"Vous ne pouvez pas vous suivre !" in response.data """ GIVEN an authenticated User WHEN he tries to unfollow an inexistent user THEN an error message is displayed """ response = setUp.get('/unfollow/inexistent', follow_redirects=True) assert b"Utilisateur inexistent introuvable." in response.data """ GIVEN an authenticated User WHEN he tries to unfollow a different user THEN it's processed correctly """ response = setUp.get('/unfollow/susan', follow_redirects=True) assert b"Vous ne suivez plus susan." in response.data def test_send_message(setUp, populate_db): """ GIVEN an anonymous User WHEN he tries to send a message THEN he is redirected to login page """ response = setUp.get('/send_message/susan', follow_redirects=True) assert b"Please log in to access this page." in response.data # login with john's account response = setUp.post('/auth/login', data={ 'username': 'john', 'password': 'cat' }, follow_redirects=True) """ GIVEN an authenticated User WHEN he tries to send a message to a different user THEN it's processed correctly """ response = setUp.post('/send_message/susan', data={ 'message': 'Hi susan! I like your posts.' }, follow_redirects=True) assert "Votre message a été envoyé." in response.data.decode("utf-8") response = setUp.get('/auth/logout', follow_redirects=True) """ GIVEN an authenticated User WHEN he receives a new message THEN it appears in navigation bar and he can read the message in messages page """ # login with susan's account response = setUp.post('/auth/login', data={ 'username': 'susan', 'password': 'dog' }, follow_redirects=True) response = setUp.get('/notifications') assert b"\"data\":1" in response.data response = setUp.get('/messages') assert b"john" in response.data assert b"Hi susan! I like your posts." in response.data

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null

0

1

0

6

b3a480dfb1c245c67d204cd0f5a6d6680af79046

381

py

Python

rasa_chinese/nlu/__init__.py

wegylexy/rasa_chinese

76ecd8b6bc7b518b9d8c416668fa2a0ad75bdd37

[ "Apache-2.0" ]

80

2020-12-28T06:33:01.000Z

2022-03-30T09:02:19.000Z

rasa_chinese/nlu/__init__.py

AlexAuthor7/rasa_chinese

76ecd8b6bc7b518b9d8c416668fa2a0ad75bdd37

[ "Apache-2.0" ]

4

2021-08-20T10:30:22.000Z

2022-03-14T05:43:22.000Z

rasa_chinese/nlu/__init__.py

AlexAuthor7/rasa_chinese

76ecd8b6bc7b518b9d8c416668fa2a0ad75bdd37

[ "Apache-2.0" ]

24

2020-12-28T08:36:17.000Z

2022-03-29T11:11:41.000Z

from rasa_chinese.nlu.tokenizers import LanguageModelTokenizer from rasa_chinese.nlu.featurizers import BertTextFeaturizer, BertCharFeaturizer from rasa_chinese.nlu.extractors import BilstmCrfTensorFlowEntityExtractor from rasa_chinese.nlu.classifiers import TextCnnTensorFlowClassifier, DenseNetworkTensorFlowClassifier from rasa_chinese.nlu.utils import TensorflowNLP, PaddleNLP

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6

b3e453e48d6aa2c3047c8c08381560a0912905e4

931

py

Python

correct_python_programs/find_first_in_sorted.py

PatrickShaw/QuixBugs

5a2eb2987fdac12860b526ffa92a57e5831fd639

[ "MIT" ]

22

2018-01-29T01:56:30.000Z

2022-03-21T12:25:40.000Z

correct_python_programs/find_first_in_sorted.py

zixifan/QuixBugs

5a2eb2987fdac12860b526ffa92a57e5831fd639

[ "MIT" ]

31

2017-12-18T21:04:34.000Z

2022-02-21T07:38:09.000Z

correct_python_programs/find_first_in_sorted.py

zixifan/QuixBugs

5a2eb2987fdac12860b526ffa92a57e5831fd639

[ "MIT" ]

19

2018-01-06T14:18:33.000Z

2022-03-21T12:25:43.000Z

def find_first_in_sorted(arr, x): lo = 0 hi = len(arr) while lo < hi: mid = (lo + hi) // 2 if x == arr[mid] and (mid == 0 or x != arr[mid - 1]): return mid elif x <= arr[mid]: hi = mid else: lo = mid + 1 return -1 """ def find_first_in_sorted(arr, x): lo = 0 hi = len(arr) while lo <= hi - 1: mid = (lo + hi) // 2 if x == arr[mid] and (mid == 0 or x != arr[mid - 1]): return mid elif x <= arr[mid]: hi = mid else: lo = mid + 1 return -1 def find_first_in_sorted(arr, x): lo = 0 hi = len(arr) while lo + 1 <= hi: mid = (lo + hi) // 2 if x == arr[mid] and (mid == 0 or x != arr[mid - 1]): return mid elif x <= arr[mid]: hi = mid else: lo = mid + 1 return -1 """

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3778f689c2fa9b1e20b9906365d2728570133b57

165

py

Python

temboo/core/Library/Google/Gmailv2/Attachments/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

7

2016-03-07T02:07:21.000Z

2022-01-21T02:22:41.000Z

temboo/core/Library/Google/Gmailv2/Attachments/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

null

temboo/core/Library/Google/Gmailv2/Attachments/__init__.py

jordanemedlock/psychtruths

52e09033ade9608bd5143129f8a1bfac22d634dd

[ "Apache-2.0" ]

8

2016-06-14T06:01:11.000Z

2020-04-22T09:21:44.000Z

from temboo.Library.Google.Gmailv2.Attachments.GetAttachment import GetAttachment, GetAttachmentInputSet, GetAttachmentResultSet, GetAttachmentChoreographyExecution

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0

1

0

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6

37bfa95565a184fa817c3a14829ffc6b57be54f2

1,707

py

Python

Curso-em-video/Aula_102.py

JhonAI13/Curso_python

27dedb0effa2c26140f46392e993b8e7a27d6eb3

[ "MIT" ]

null

Curso-em-video/Aula_102.py

JhonAI13/Curso_python

27dedb0effa2c26140f46392e993b8e7a27d6eb3

[ "MIT" ]

null

Curso-em-video/Aula_102.py

JhonAI13/Curso_python

27dedb0effa2c26140f46392e993b8e7a27d6eb3

[ "MIT" ]

null

# """ 102: Crie um programa que tenha uma função fatorial() que receba dois parâmetros: # o primeiro que indique o número a calcular e outro chamado show, que será um valor # lógico (opcional) indicando se será mostrado ou não na tela o processo de cálculo do fatorial.""" # # # def fatorial(n, show=False): # """ # -> e uma função que dis a fatorial. # :param n: o numero a fatorar # :param show: Se você quer que apareça o historico # :return: sem retorno # """ # c = n # if show: # print('{}!'.format(c), "=", end='') # print(' {}'.format(c), 'X', end='') # for x in range(n - 1): # c -= 1 # n = n * c # if show: # print(' {} '.format(c), end='') # if c != 1: # print('X', end='') # if c == 1: # print('=', end='') # print(n) # # # fatorial(6, show=True) # fatorial(8) # help(fatorial) # """ 102: Crie um programa que tenha uma função fatorial() que receba dois parâmetros: o primeiro que indique o número a calcular e outro chamado show, que será um valor lógico (opcional) indicando se será mostrado ou não na tela o processo de cálculo do fatorial.""" def fatorial(n, show=False): """ -> e uma função que dis a fatorial. :param n: o numero a fatorar :param show: Se você quer que apareça o historico :return: sem retorno """ f = 1 for c in range(n, 0, -1): if show: print(c, end='') if c > 1: print(' x ', end='') else: print(' = ', end='') f *= c return f print(fatorial(5, show=True)) print(fatorial(6)) help(fatorial)

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null

0

1

0

null

0

6

80b70ae0a897a32464af41608c3d43ab3ab75ff6

112

py

Python

myflaskapp/dashboard/utils.py

RubyHome/Parking-Dev

20f5e1c44160ecc80b65ef0df63f1cd96e2de564

[ "BSD-3-Clause" ]

null

myflaskapp/dashboard/utils.py

RubyHome/Parking-Dev

20f5e1c44160ecc80b65ef0df63f1cd96e2de564

[ "BSD-3-Clause" ]

null

myflaskapp/dashboard/utils.py

RubyHome/Parking-Dev

20f5e1c44160ecc80b65ef0df63f1cd96e2de564

[ "BSD-3-Clause" ]

null

import time def timestamp(): """Return the current timestamp as an integer.""" return int(time.time())

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1

0

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0

1

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6

039cc1e6af2a53fe9969ccda01bf2c70d70fc648

101

py

Python

test/test_example.py

freakleesin/CSC510-Group35-p1

554dd1e68e2da8da06b2b4a1154193038a48e0cc

[ "MIT" ]

null

test/test_example.py

freakleesin/CSC510-Group35-p1

554dd1e68e2da8da06b2b4a1154193038a48e0cc

[ "MIT" ]

null

test/test_example.py

freakleesin/CSC510-Group35-p1

554dd1e68e2da8da06b2b4a1154193038a48e0cc

[ "MIT" ]

2

2021-08-29T19:17:04.000Z

2021-08-29T19:56:11.000Z

from code.myfunc import mymul # content of setup.py def test_answer(): assert mymul(3, 4) == 12

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null

0

1

0

1

0

1

0

6

03b929ebbde0de84dff53c4f36912142134ad027

984

py

Python

result.py

lidongyv/Reppoint-Tracking

81b81e921f6b905e68aba117ffc4fca8ffcfcfd6

[ "MIT" ]

null

result.py

lidongyv/Reppoint-Tracking

81b81e921f6b905e68aba117ffc4fca8ffcfcfd6

[ "MIT" ]

null

result.py

lidongyv/Reppoint-Tracking

81b81e921f6b905e68aba117ffc4fca8ffcfcfd6

[ "MIT" ]

null

75.692308

78

0.607724

171

984

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0.111298

0.118044

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0.738617

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0

0.194839

0.212398

984

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75.692308

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0

null

0

null

0

null

0

1

0

null

0

1

0

6

03e34dfe542a961ff776e7485c6352a8e1796794

35

py

Python

center/app/networker/processors/__init__.py

netSensTeam/netSens

7ab5f41a7103e6c86aa6cb2eff3df68c301e48c1

[ "MIT" ]

null

center/app/networker/processors/__init__.py

netSensTeam/netSens

7ab5f41a7103e6c86aa6cb2eff3df68c301e48c1

[ "MIT" ]

3

2021-05-10T13:50:55.000Z

2022-03-02T08:12:46.000Z

center/app/networker/processors/__init__.py

netSensTeam/netSens

7ab5f41a7103e6c86aa6cb2eff3df68c301e48c1

[ "MIT" ]

null

from processors._processor import *

35

0.857143

4

35

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1

0

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0.90625

0

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true

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1

0

null

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1

0

null

0

1

0

1

0

1

0

6

03e99a1e90e85456a76ee060598c0fae8af109ea

175

py

Python

storage_integration/storage_integration/doctype/storage_integration_settings/test_storage_integration_settings.py

rutwikhdev/storage_integration

0765a6506d703404a8d6df2d5a6920b6ab7f8cf3

[ "MIT" ]

8

2022-02-25T13:29:08.000Z

2022-03-25T12:42:34.000Z

storage_integration/storage_integration/doctype/storage_integration_settings/test_storage_integration_settings.py

rutwikhdev/storage_integration

0765a6506d703404a8d6df2d5a6920b6ab7f8cf3

[ "MIT" ]

1

2022-03-28T07:47:16.000Z

storage_integration/storage_integration/doctype/storage_integration_settings/test_storage_integration_settings.py

rutwikhdev/storage_integration

0765a6506d703404a8d6df2d5a6920b6ab7f8cf3

[ "MIT" ]

6

2022-02-25T19:28:05.000Z

2022-03-26T03:00:49.000Z

17.5

58

0.805714

19

175

7.421053

0.842105

0

0.026316

0.131429

175

9

59

19.444444

0.901316

0.491429

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

6

ff1a7a3dfb9aad253083dc13c885793d10881850

148

py

Python

behave/shut_down.py

flavioesposito/BeA

1f5f8b60f17940d2da96b699f0391b0febf771aa

[ "MIT" ]

null

behave/shut_down.py

flavioesposito/BeA

1f5f8b60f17940d2da96b699f0391b0febf771aa

[ "MIT" ]

null

behave/shut_down.py

flavioesposito/BeA

1f5f8b60f17940d2da96b699f0391b0febf771aa

[ "MIT" ]

2

2018-04-18T17:54:34.000Z

2022-02-09T07:34:34.000Z

import os os.system('iptables -F') os.system('iptables -P INPUT DROP') os.system('iptables -P OUTPUT DROP') os.system('iptables -P FORWARD DROP')

18.5

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0.603774

0.481132

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0

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148

7

38

21.142857

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0

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true

0

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1

0

null

1

0

1

0

null

0

1

0

6

206748826295bfc6444c78bf2ca217bcac7925e5

179

py

Python

django_app/myapp/views.py

bb-k8/docker-examples

77f9c78e714b2888554eba8a706e72388d272813

[ "MIT" ]

null

django_app/myapp/views.py

bb-k8/docker-examples

77f9c78e714b2888554eba8a706e72388d272813

[ "MIT" ]

null

django_app/myapp/views.py

bb-k8/docker-examples

77f9c78e714b2888554eba8a706e72388d272813

[ "MIT" ]

null

from django.shortcuts import render from django.http import HttpResponse # Create your views here. def index(req): return HttpResponse("Simple django app running in docker!")

29.833333

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179

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63

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0

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0

null

0

1

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1

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6

207cd22c5687f57b81f327add04366de1f8a9887

337

py

Python

benwaonline/entities/__init__.py

goosechooser/benwaonline

e2879412aa6c3c230d25cd60072445165517b6b6

[ "MIT" ]

null

benwaonline/entities/__init__.py

goosechooser/benwaonline

e2879412aa6c3c230d25cd60072445165517b6b6

[ "MIT" ]

16

2017-09-13T10:21:40.000Z

2020-06-01T04:32:22.000Z

benwaonline/entities/__init__.py

goosechooser/benwaonline

e2879412aa6c3c230d25cd60072445165517b6b6

[ "MIT" ]

null

from benwaonline.entities.entity import Entity from benwaonline.entities.user import User, UserLike from benwaonline.entities.post import Post, PostLike from benwaonline.entities.image import Image from benwaonline.entities.preview import Preview from benwaonline.entities.comment import Comment from benwaonline.entities.tag import Tag

42.125

52

0.863501

44

337

6.613636

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0.360825

0.553265

0

0.089021

337

7

53

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0.947883

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

2082be6bb1dea61d467001aaa1227df81da27fc8

111

py

Python

Pytorch/Visualization/style_modules/__init__.py

Kuga23/Deep-Learning

86980338208c702b6bfcbcfffdb18498e389a56b

[ "MIT" ]

null

Pytorch/Visualization/style_modules/__init__.py

Kuga23/Deep-Learning

86980338208c702b6bfcbcfffdb18498e389a56b

[ "MIT" ]

null

Pytorch/Visualization/style_modules/__init__.py

Kuga23/Deep-Learning

86980338208c702b6bfcbcfffdb18498e389a56b

[ "MIT" ]

null

from .content_loss import ContentLoss from .style_loss import StyleLoss from .tv_loss import TotalVariationLoss

37

39

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15

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6.266667

0.6

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0

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111

3

39

37

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0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

209a0ecb142d4792642ac90414642641cfca60a8

30

py

Python

tests/test_prompts_input.py

lichensky/PyInquirer

31f4da76bbbf73585a14819aaabe9fe3432e721d

[ "MIT" ]

1,587

2018-06-14T03:05:42.000Z

2022-03-31T17:51:51.000Z

tests/test_prompts_input.py

lichensky/PyInquirer

31f4da76bbbf73585a14819aaabe9fe3432e721d

[ "MIT" ]

131

2018-06-27T12:38:34.000Z

2022-03-09T16:26:27.000Z

tests/test_prompts_input.py

lichensky/PyInquirer

31f4da76bbbf73585a14819aaabe9fe3432e721d

[ "MIT" ]

257

2018-07-03T13:47:08.000Z

2022-03-24T19:49:46.000Z

# TODO tests from Inquirer.js

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null

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6

20ade8236dabd1bf4e1582cff78807a8d4b0ae1b

130

py

Python

src/main.py

WannaHeal/line-lottery-numbers-sender

f20dddd8c92aeae17db0c4689f752fa050c58592

[ "MIT" ]

null

src/main.py

WannaHeal/line-lottery-numbers-sender

f20dddd8c92aeae17db0c4689f752fa050c58592

[ "MIT" ]

null

src/main.py

WannaHeal/line-lottery-numbers-sender

f20dddd8c92aeae17db0c4689f752fa050c58592

[ "MIT" ]

null

from services.sender import send_message_to_users def run(): send_message_to_users() if __name__ == "__main__": run()

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0

null

0

1

0

6

20b9290111d074abdabf01c189a3f55fa600e8e5

102

py

Python

tests/test_package.py

ValidereInc/pyomnisci

c28d680fe589091beeafb4f6bdc4e63d016b3ad2

[ "Apache-2.0" ]

7

2021-02-05T17:00:21.000Z

2022-02-04T20:55:14.000Z

tests/test_package.py

ValidereInc/pyomnisci

c28d680fe589091beeafb4f6bdc4e63d016b3ad2

[ "Apache-2.0" ]

19

2021-01-14T18:48:13.000Z

2022-01-13T00:26:22.000Z

tests/test_package.py

ValidereInc/pyomnisci

c28d680fe589091beeafb4f6bdc4e63d016b3ad2

[ "Apache-2.0" ]

8

2020-11-18T01:58:36.000Z

2022-01-27T19:45:50.000Z

import pyomnisci def test_versioning(): assert pyomnisci.__version__ not in (None, "", "0.0.0")

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null

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1

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1

0

6

20e3efe13db623823148de6c0dffef19e5cb93d7

2,471

py

Python

descarteslabs/workflows/types/numpy/__init__.py

carderne/descarteslabs-python

757b480efb8d58474a3bf07f1dbd90652b46ed64

[ "Apache-2.0" ]

167

2017-03-23T22:16:58.000Z

2022-03-08T09:19:30.000Z

descarteslabs/workflows/types/numpy/__init__.py

carderne/descarteslabs-python

757b480efb8d58474a3bf07f1dbd90652b46ed64

[ "Apache-2.0" ]

93

2017-03-23T22:11:40.000Z

2021-12-13T18:38:53.000Z

descarteslabs/workflows/types/numpy/__init__.py

carderne/descarteslabs-python

757b480efb8d58474a3bf07f1dbd90652b46ed64

[ "Apache-2.0" ]

46

2017-03-25T19:12:14.000Z

2021-08-15T18:04:29.000Z

from . import linalg from . import ma from ..array import Array from .numpy_ufuncs import ( add, subtract, multiply, divide, logaddexp, logaddexp2, true_divide, floor_divide, negative, power, float_power, remainder, mod, conj, conjugate, exp, exp2, log, log2, log10, log1p, expm1, sqrt, square, cbrt, reciprocal, sin, cos, tan, arcsin, arccos, arctan, arctan2, hypot, sinh, cosh, tanh, arcsinh, arccosh, arctanh, deg2rad, rad2deg, bitwise_and, bitwise_or, bitwise_xor, bitwise_not, invert, greater, greater_equal, less, less_equal, not_equal, equal, logical_and, logical_or, logical_xor, logical_not, maximum, minimum, fmax, fmin, isfinite, isinf, isnan, signbit, copysign, nextafter, spacing, ldexp, fmod, floor, ceil, trunc, degrees, radians, rint, fabs, sign, absolute, ) from .numpy_functions import np_funcs globals().update(np_funcs) array = Array __all__ = [ # Array constructor "array", # Ufuncs "add", "subtract", "multiply", "divide", "logaddexp", "logaddexp2", "true_divide", "floor_divide", "negative", "power", "float_power", "remainder", "mod", "conj", "conjugate", "exp", "exp2", "log", "log2", "log10", "log1p", "expm1", "sqrt", "square", "cbrt", "reciprocal", "sin", "cos", "tan", "arcsin", "arccos", "arctan", "arctan2", "hypot", "sinh", "cosh", "tanh", "arcsinh", "arccosh", "arctanh", "deg2rad", "rad2deg", "bitwise_and", "bitwise_or", "bitwise_xor", "bitwise_not", "invert", "greater", "greater_equal", "less", "less_equal", "not_equal", "equal", "logical_and", "logical_or", "logical_xor", "logical_not", "maximum", "minimum", "fmax", "fmin", "isfinite", "isinf", "isnan", "signbit", "copysign", "nextafter", "spacing", "ldexp", "fmod", "floor", "ceil", "trunc", "degrees", "radians", "rint", "fabs", "sign", "absolute", # sub-packages "linalg", "ma", ] __all__ += list(np_funcs.keys())

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null

0

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null

0

6

20e50f0f6c79248e2ebeb380b2fde0e5a134529d

31

py

Python

languages/python/modelfox/__init__.py

OneToolsCollection/tangramdotdev-tangram

666343a87b88a1c1b34a4be2298f6aa54f0fc2eb

[ "MIT" ]

null

languages/python/modelfox/__init__.py

OneToolsCollection/tangramdotdev-tangram

666343a87b88a1c1b34a4be2298f6aa54f0fc2eb

[ "MIT" ]

null

languages/python/modelfox/__init__.py

OneToolsCollection/tangramdotdev-tangram

666343a87b88a1c1b34a4be2298f6aa54f0fc2eb

[ "MIT" ]

null

from .modelfox_python import *

15.5

30

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4

31

6

1

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31

1

31

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1

0

null

0

1

0

1

0

1

0

6

20f45386089ad8915d2f57079f192463c2332038

5,896

py

Python

resources/dot_PyCharm/system/python_stubs/-762174762/PySide/QtGui/QTabWidget.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

1

2020-04-20T02:27:20.000Z

resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QTabWidget.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

null

resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QTabWidget.py

basepipe/developer_onboarding

05b6a776f8974c89517868131b201f11c6c2a5ad

[ "MIT" ]

null

# encoding: utf-8 # module PySide.QtGui # from C:\Python27\lib\site-packages\PySide\QtGui.pyd # by generator 1.147 # no doc # imports import PySide.QtCore as __PySide_QtCore import Shiboken as __Shiboken from QWidget import QWidget class QTabWidget(QWidget): # no doc def addTab(self, *args, **kwargs): # real signature unknown pass def changeEvent(self, *args, **kwargs): # real signature unknown pass def clear(self, *args, **kwargs): # real signature unknown pass def cornerWidget(self, *args, **kwargs): # real signature unknown pass def count(self, *args, **kwargs): # real signature unknown pass def currentChanged(self, *args, **kwargs): # real signature unknown """ Signal """ pass def currentIndex(self, *args, **kwargs): # real signature unknown pass def currentWidget(self, *args, **kwargs): # real signature unknown pass def documentMode(self, *args, **kwargs): # real signature unknown pass def elideMode(self, *args, **kwargs): # real signature unknown pass def event(self, *args, **kwargs): # real signature unknown pass def heightForWidth(self, *args, **kwargs): # real signature unknown pass def iconSize(self, *args, **kwargs): # real signature unknown pass def indexOf(self, *args, **kwargs): # real signature unknown pass def initStyleOption(self, *args, **kwargs): # real signature unknown pass def insertTab(self, *args, **kwargs): # real signature unknown pass def isMovable(self, *args, **kwargs): # real signature unknown pass def isTabEnabled(self, *args, **kwargs): # real signature unknown pass def keyPressEvent(self, *args, **kwargs): # real signature unknown pass def minimumSizeHint(self, *args, **kwargs): # real signature unknown pass def paintEvent(self, *args, **kwargs): # real signature unknown pass def removeTab(self, *args, **kwargs): # real signature unknown pass def resizeEvent(self, *args, **kwargs): # real signature unknown pass def selected(self, *args, **kwargs): # real signature unknown """ Signal """ pass def setCornerWidget(self, *args, **kwargs): # real signature unknown pass def setCurrentIndex(self, *args, **kwargs): # real signature unknown pass def setCurrentWidget(self, *args, **kwargs): # real signature unknown pass def setDocumentMode(self, *args, **kwargs): # real signature unknown pass def setElideMode(self, *args, **kwargs): # real signature unknown pass def setIconSize(self, *args, **kwargs): # real signature unknown pass def setMovable(self, *args, **kwargs): # real signature unknown pass def setTabBar(self, *args, **kwargs): # real signature unknown pass def setTabEnabled(self, *args, **kwargs): # real signature unknown pass def setTabIcon(self, *args, **kwargs): # real signature unknown pass def setTabPosition(self, *args, **kwargs): # real signature unknown pass def setTabsClosable(self, *args, **kwargs): # real signature unknown pass def setTabShape(self, *args, **kwargs): # real signature unknown pass def setTabText(self, *args, **kwargs): # real signature unknown pass def setTabToolTip(self, *args, **kwargs): # real signature unknown pass def setTabWhatsThis(self, *args, **kwargs): # real signature unknown pass def setUsesScrollButtons(self, *args, **kwargs): # real signature unknown pass def showEvent(self, *args, **kwargs): # real signature unknown pass def sizeHint(self, *args, **kwargs): # real signature unknown pass def tabBar(self, *args, **kwargs): # real signature unknown pass def tabCloseRequested(self, *args, **kwargs): # real signature unknown """ Signal """ pass def tabIcon(self, *args, **kwargs): # real signature unknown pass def tabInserted(self, *args, **kwargs): # real signature unknown pass def tabPosition(self, *args, **kwargs): # real signature unknown pass def tabRemoved(self, *args, **kwargs): # real signature unknown pass def tabsClosable(self, *args, **kwargs): # real signature unknown pass def tabShape(self, *args, **kwargs): # real signature unknown pass def tabText(self, *args, **kwargs): # real signature unknown pass def tabToolTip(self, *args, **kwargs): # real signature unknown pass def tabWhatsThis(self, *args, **kwargs): # real signature unknown pass def usesScrollButtons(self, *args, **kwargs): # real signature unknown pass def widget(self, *args, **kwargs): # real signature unknown pass def __init__(self, *args, **kwargs): # real signature unknown pass @staticmethod # known case of __new__ def __new__(S, *more): # real signature unknown; restored from __doc__ """ T.__new__(S, ...) -> a new object with type S, a subtype of T """ pass East = PySide.QtGui.QTabWidget.TabPosition.East North = PySide.QtGui.QTabWidget.TabPosition.North Rounded = PySide.QtGui.QTabWidget.TabShape.Rounded South = PySide.QtGui.QTabWidget.TabPosition.South staticMetaObject = None # (!) real value is '<PySide.QtCore.QMetaObject object at 0x0000000004BFE6C8>' TabPosition = None # (!) real value is "<type 'PySide.QtGui.QTabWidget.TabPosition'>" TabShape = None # (!) real value is "<type 'PySide.QtGui.QTabWidget.TabShape'>" Triangular = PySide.QtGui.QTabWidget.TabShape.Triangular West = PySide.QtGui.QTabWidget.TabPosition.West

28.621359

106

0.639925

653

5,896

5.739663

0.183767

0.201174

0.309498

0.273746

0.664088

0.648879

0.638741

0.03762

0

0.004524

0.25017

5,896

205

107

28.760976

0.843248

0.305122

0

0.446154

0

1

0.446154

false

0.446154

0.023077

0

0.546154

0

null

1

0

null

0

1

0

1

0

1

0

6

459d10542e982bd5946e7d3d73ff426e8c8ee10b

10,739

py

Python

homePage/views/create_a_char.py

bmackley/history

cddf1405f23c98702f2c5b4c02571b5cc20a449a

[ "Apache-2.0" ]

null

homePage/views/create_a_char.py

bmackley/history

cddf1405f23c98702f2c5b4c02571b5cc20a449a

[ "Apache-2.0" ]

null

homePage/views/create_a_char.py

bmackley/history

cddf1405f23c98702f2c5b4c02571b5cc20a449a

[ "Apache-2.0" ]

null

from django import forms from django.conf import settings from django.http import HttpResponse, HttpResponseRedirect, Http404 from django.contrib.auth import authenticate, login from homePage import models as m from . import templater import glob def process_request(request): from django import forms from django.conf import settings from django.http import HttpResponse, HttpResponseRedirect, Http404 from django.contrib.auth import authenticate, login from homePage import models as m from . import templater import glob def process_request(request): sign = m.Sign.objects.get(name = '589') line = 1 new_char = m.AssyrianChar() new_char.id = 1 new_char.line = line new_char.Sign = sign new_char.note = "6a74eaae-3c30-4661-a7fb-2adfc974df0b" new_char.save() sign = m.Sign.objects.get(name = '78') line = 1 new_char = m.AssyrianChar() new_char.id = 2 new_char.line = line new_char.Sign = sign new_char.note = "6fc68815-1ead-420c-8eb9-844a23491b75" new_char.save() sign = m.Sign.objects.get(name = '579') line = 1 new_char = m.AssyrianChar() new_char.id = 3 new_char.line = line new_char.Sign = sign new_char.note = "9f25034b-e28a-4459-ae5d-255372ed3098" new_char.save() sign = m.Sign.objects.get(name = '170') line = 1 new_char = m.AssyrianChar() new_char.id = 4 new_char.line = line new_char.Sign = sign new_char.note = "7fa1866d-993e-45f0-88f8-2aa8559ff7c0" new_char.save() sign = m.Sign.objects.get(name = '557') line = 1 new_char = m.AssyrianChar() new_char.id = 5 new_char.line = line new_char.Sign = sign new_char.note = "3336488b-f628-404c-b742-b6dee11fc348" new_char.save() sign = m.Sign.objects.get(name = '319') line = 2 new_char = m.AssyrianChar() new_char.id = 6 new_char.line = line new_char.Sign = sign new_char.note = "7fa1f185-7831-42ff-9bd0-9faa485626f3" new_char.save() sign = m.Sign.objects.get(name = '396a') line = 2 new_char = m.AssyrianChar() new_char.id = 7 new_char.line = line new_char.Sign = sign new_char.note = "1848f5e6-c0cd-4c6c-a05e-39527afe8a79" new_char.save() sign = m.Sign.objects.get(name = '335') line = 2 new_char = m.AssyrianChar() new_char.id = 8 new_char.line = line new_char.Sign = sign new_char.note = "f3e64cbc-5bdf-4354-bffc-8a979d90aef7" new_char.save() sign = m.Sign.objects.get(name = '579') line = 2 new_char = m.AssyrianChar() new_char.id = 9 new_char.line = line new_char.Sign = sign new_char.note = "d7512498-1f54-451b-86d6-5fa6ef3df3ee" new_char.save() sign = m.Sign.objects.get(name = '112') line = 2 new_char = m.AssyrianChar() new_char.id = 10 new_char.line = line new_char.Sign = sign new_char.note = "60a955c2-d106-4fda-866e-73499205842f" new_char.save() sign = m.Sign.objects.get(name = '532') line = 2 new_char = m.AssyrianChar() new_char.id = 11 new_char.line = line new_char.Sign = sign new_char.note = "8e10dd18-31d4-495b-b75b-91d2e5ef24a0" new_char.save() sign = m.Sign.objects.get(name = '399') line = 2 new_char = m.AssyrianChar() new_char.id = 12 new_char.line = line new_char.Sign = sign new_char.note = "1b59f811-a99a-46f3-bbdb-c48058ccaf52" new_char.save() sign = m.Sign.objects.get(name = '142') line = 3 new_char = m.AssyrianChar() new_char.id = 13 new_char.line = line new_char.Sign = sign new_char.note = "f928d175-18be-42e5-9b4d-8b4bfeae4545" new_char.save() sign = m.Sign.objects.get(name = '396a') line = 3 new_char = m.AssyrianChar() new_char.id = 14 new_char.line = line new_char.Sign = sign new_char.note = "5ed612b4-a20d-4aac-a1fb-874409fe21d8" new_char.save() sign = m.Sign.objects.get(name = '148') line = 3 new_char = m.AssyrianChar() new_char.id = 15 new_char.line = line new_char.Sign = sign new_char.note = "87e1d11e-906a-4389-8ce6-5e6c4e84fb6f" new_char.save() sign = m.Sign.objects.get(name = '342') line = 3 new_char = m.AssyrianChar() new_char.id = 16 new_char.line = line new_char.Sign = sign new_char.note = "658700b4-1170-437b-b035-599121ff4764" new_char.save() sign = m.Sign.objects.get(name = '579') line = 4 new_char = m.AssyrianChar() new_char.id = 17 new_char.line = line new_char.Sign = sign new_char.note = "49736074-a7d8-422e-9824-87be6c0ee80a" new_char.save() sign = m.Sign.objects.get(name = '70') line = 4 new_char = m.AssyrianChar() new_char.id = 18 new_char.line = line new_char.Sign = sign new_char.note = "5df86a86-bf07-4a7b-8440-594fe1c1df42" new_char.save() sign = m.Sign.objects.get(name = '598a') line = 4 new_char = m.AssyrianChar() new_char.id = 19 new_char.line = line new_char.Sign = sign new_char.note = "d3cf7ecd-38d7-415f-b293-75a06faadbba" new_char.save() sign = m.Sign.objects.get(name = '595') line = 4 new_char = m.AssyrianChar() new_char.id = 20 new_char.line = line new_char.Sign = sign new_char.note = "f053847d-ce61-4a2f-8caf-dfe97d4d9d4d" new_char.save() sign = m.Sign.objects.get(name = '468') line = 4 new_char = m.AssyrianChar() new_char.id = 21 new_char.line = line new_char.Sign = sign new_char.note = "49b69885-7666-49b8-9f88-9efd70a8cafd" new_char.save() sign = m.Sign.objects.get(name = '381') line = 4 new_char = m.AssyrianChar() new_char.id = 22 new_char.line = line new_char.Sign = sign new_char.note = "1789d20d-9d90-4fcd-83a5-d1a9ba987c37" new_char.save() sign = m.Sign.objects.get(name = '319') line = 5 new_char = m.AssyrianChar() new_char.id = 23 new_char.line = line new_char.Sign = sign new_char.note = "4ff057e6-9f0a-4d19-aa93-a4fa57e74826" new_char.save() sign = m.Sign.objects.get(name = '319') line = 5 new_char = m.AssyrianChar() new_char.id = 24 new_char.line = line new_char.Sign = sign new_char.note = "47c688b5-408b-4cbd-87f0-ce894aad3121" new_char.save() sign = m.Sign.objects.get(name = '86') line = 5 new_char = m.AssyrianChar() new_char.id = 25 new_char.line = line new_char.Sign = sign new_char.note = "ebbac1d6-121e-4c70-bb3a-b8e358d5fec9" new_char.save() sign = m.Sign.objects.get(name = '579') line = 5 new_char = m.AssyrianChar() new_char.id = 26 new_char.line = line new_char.Sign = sign new_char.note = "5daf6862-f961-4f4e-a2ff-625ea3b74f8b" new_char.save() sign = m.Sign.objects.get(name = '212') line = 6 new_char = m.AssyrianChar() new_char.id = 27 new_char.line = line new_char.Sign = sign new_char.note = "865f4680-019c-4356-81d5-fd82131b70e3" new_char.save() sign = m.Sign.objects.get(name = '579') line = 6 new_char = m.AssyrianChar() new_char.id = 28 new_char.line = line new_char.Sign = sign new_char.note = "943fdd75-ead6-485e-b089-0dcf0d93d9de" new_char.save() sign = m.Sign.objects.get(name = '170') line = 6 new_char = m.AssyrianChar() new_char.id = 29 new_char.line = line new_char.Sign = sign new_char.note = "0b3efae9-f633-4354-906f-f860c96326c8" new_char.save() sign = m.Sign.objects.get(name = '112') line = 6 new_char = m.AssyrianChar() new_char.id = 30 new_char.line = line new_char.Sign = sign new_char.note = "ebfc3dbf-aed6-4b62-89cf-3450235c78e4" new_char.save() sign = m.Sign.objects.get(name = '354a') line = 6 new_char = m.AssyrianChar() new_char.id = 31 new_char.line = line new_char.Sign = sign new_char.note = "1d6f0582-fccc-4657-87bb-7ebfb713228d" new_char.save() sign = m.Sign.objects.get(name = '342') line = 6 new_char = m.AssyrianChar() new_char.id = 32 new_char.line = line new_char.Sign = sign new_char.note = "f7da5f84-74e0-4ae8-9fb5-661698bea15d" new_char.save() sign = m.Sign.objects.get(name = '342') line = 7 new_char = m.AssyrianChar() new_char.id = 33 new_char.line = line new_char.Sign = sign new_char.note = "55970697-e8e9-4ec7-b84a-cfc521ff1fed" new_char.save() sign = m.Sign.objects.get(name = '342') line = 7 new_char = m.AssyrianChar() new_char.id = 34 new_char.line = line new_char.Sign = sign new_char.note = "7ca1c742-48f7-4dcc-ae2b-e69ecc122373" new_char.save() sign = m.Sign.objects.get(name = '13') line = 7 new_char = m.AssyrianChar() new_char.id = 35 new_char.line = line new_char.Sign = sign new_char.note = "1addafae-e4f9-44e2-9f53-966f92abdfff" new_char.save() sign = m.Sign.objects.get(name = '579') line = 7 new_char = m.AssyrianChar() new_char.id = 36 new_char.line = line new_char.Sign = sign new_char.note = "3dc4805f-c487-47a8-9c56-67302a21912b" new_char.save() sign = m.Sign.objects.get(name = '70') line = 8 new_char = m.AssyrianChar() new_char.id = 37 new_char.line = line new_char.Sign = sign new_char.note = "bb0269e6-f295-4267-b060-70e888354219" new_char.save() sign = m.Sign.objects.get(name = '319') line = 8 new_char = m.AssyrianChar() new_char.id = 38 new_char.line = line new_char.Sign = sign new_char.note = "3c2e55ea-24f4-45f8-bc72-ba48b79dcfd0" new_char.save() sign = m.Sign.objects.get(name = '319') line = 8 new_char = m.AssyrianChar() new_char.id = 39 new_char.line = line new_char.Sign = sign new_char.note = "ca4176e1-fb25-4815-99e2-527e1dd9bc04" new_char.save() sign = m.Sign.objects.get(name = '86') line = 8 new_char = m.AssyrianChar() new_char.id = 40 new_char.line = line new_char.Sign = sign new_char.note = "4799ca5d-791b-4cd6-b009-99b64ff6f3e3" new_char.save() sign = m.Sign.objects.get(name = '579') line = 9 new_char = m.AssyrianChar() new_char.id = 41 new_char.line = line new_char.Sign = sign new_char.note = "8a312545-2bd5-48e3-8187-0f1c5b0393ba" new_char.save() sign = m.Sign.objects.get(name = '142') line = 9 new_char = m.AssyrianChar() new_char.id = 42 new_char.line = line new_char.Sign = sign new_char.note = "214ae14d-fd18-4197-b76c-afc303d2cb39" new_char.save() sign = m.Sign.objects.get(name = '206') line = 9 new_char = m.AssyrianChar() new_char.id = 43 new_char.line = line new_char.Sign = sign new_char.note = "43be12c1-7216-421c-8161-2b13cf348835" new_char.save() sign = m.Sign.objects.get(name = '383') line = 9 new_char = m.AssyrianChar() new_char.id = 44 new_char.line = line new_char.Sign = sign new_char.note = "5073b62d-d285-41c7-a573-c83ad993ca27" new_char.save() # sign = m.Sign.objects.get(name = '451') # line = 9 # new_char = m.AssyrianChar() # new_char.id = 45 # new_char.line = line # new_char.Sign = sign # new_char.note = "14235979-31be-4dea-9778-80584272915e" # new_char.save() tvars = { } return templater.render_to_response(request, 'index.html', tvars)

25.149883

69

0.684794

1,706

10,739

4.150059

0.196366

0.266949

0.057203

0.101695

0.768362

0.765113

0.513418

0

0.132651

0.181488

10,739

426

70

25.20892

0.67281

0.019182

0

0.71159

0

0.163816

0.150513

0

1

0.005391

false

0

0.037736

0

0.045822

0

null

1

0

1

0

1

0

null

0

6

45b34c1d3fbbe1110848c2478bbd09217e0f64ef

22,678

py

Python

test/test_data_elements.py

crazynayan/tpf3

a17b82e7c6eb1c9237af9388fb3e7b18a213f50b

[ "MIT" ]

null

test/test_data_elements.py

crazynayan/tpf3

a17b82e7c6eb1c9237af9388fb3e7b18a213f50b

[ "MIT" ]

1

2021-06-02T00:47:09.000Z

test/test_data_elements.py

crazynayan/tpf3

a17b82e7c6eb1c9237af9388fb3e7b18a213f50b

[ "MIT" ]

null

from copy import deepcopy from typing import List, Tuple from requests.utils import quote from config import config from test import TestAPI class OutputRegisters(TestAPI): def setUp(self) -> None: self.test_data: dict = self.get_sample_test_data() self.reg_updated: bool = False def tearDown(self) -> None: if self.reg_updated: self.patch(f"/test_data/{self.test_data['id']}/output/regs", json={'regs': []}) def test_empty(self): response = self.get(f"/test_data/{self.test_data['id']}") self.assertEqual(200, response.status_code) self.assertDictEqual(dict(), response.json()['outputs'][0]['regs']) def test_few_reg(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/regs", json={'regs': ['R1', 'R3']}) self.assertEqual(200, response.status_code) self.reg_updated = True response = self.get(f"/test_data/{self.test_data['id']}") self.assertEqual(200, response.status_code) self.assertDictEqual({'R1': 0, 'R3': 0}, response.json()['outputs'][0]['regs']) def test_all_reg(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/regs", json={'regs': list(config.REGISTERS)}) self.assertEqual(200, response.status_code) self.reg_updated = True response = self.get(f"/test_data/{self.test_data['id']}") self.assertEqual(200, response.status_code) self.assertDictEqual({reg: 0 for reg in config.REGISTERS}, response.json()['outputs'][0]['regs']) def test_invalid_id(self): response = self.patch(f"/test_data/invalid_id/output/regs", json={'regs': list(config.REGISTERS)}) self.assertEqual(404, response.status_code) def test_invalid_key(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/regs", json={'invalid': ['R1']}) self.assertEqual(400, response.status_code) self.assertDictEqual({'message': 'Invalid format of Registers', 'error': 'Bad Request'}, response.json()) def test_invalid_reg(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/regs", json={'regs': ['R1', 'R16']}) self.assertEqual(400, response.status_code) def test_reg_tuple(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/regs", json={'regs': ('R1', 'R15')}) self.assertEqual(200, response.status_code) self.reg_updated = True response = self.get(f"/test_data/{self.test_data['id']}") self.assertEqual(200, response.status_code) self.assertDictEqual({'R1': 0, 'R15': 0}, response.json()['outputs'][0]['regs']) class OutputFields(TestAPI): def setUp(self) -> None: self.test_data: dict = self.get_sample_test_data() self.macro_fields: List[Tuple[str, str]] = list() self.maxDiff = None def tearDown(self) -> None: for macro_name, field_name in self.macro_fields: self.delete(f"/test_data/{self.test_data['id']}/output/cores/{macro_name}/fields/{quote(field_name)}") def _check_field_byte(self, macro_name: str, field_name: str, length: int, input_len: int = None, input_base_reg: str = None) -> dict: body: dict = {'field': f"{field_name}", 'length': input_len if input_len is not None else 0, 'base_reg': input_base_reg if input_base_reg is not None else str()} response = self.patch(f"/test_data/{self.test_data['id']}/output/cores/{macro_name}/fields", json=body) self.assertEqual(200, response.status_code) self.macro_fields.append((macro_name, field_name)) body['length'] = length body.pop('base_reg', None) self.assertDictEqual(body, response.json()) return body def _check_core(self, macro_name: str, field_bytes: List[dict], base_reg: str = None): response = self.get(f"/test_data/{self.test_data['id']}") self.assertEqual(200, response.status_code) actual_test_data = response.json() expected_test_data = deepcopy(self.test_data) core_id = actual_test_data['outputs'][0]['cores'][0]['id'] base_reg = base_reg if base_reg else str() core = {'id': core_id, 'base_reg': base_reg, 'field_data': list(), 'macro_name': macro_name, 'variation': 0, 'variation_name': str()} expected_test_data['outputs'][0]['cores'].append(core) expected_test_data['outputs'][0]['cores'][0]['field_data'].extend(field_bytes) self.assertDictEqual(expected_test_data, actual_test_data) def test_default_field_no_length(self) -> None: field_byte1 = self._check_field_byte('WA0AA', 'WA0BBR', 2) field_byte2 = self._check_field_byte('WA0AA', '#WA0TTY', 1, input_len=0, input_base_reg='R0') self._check_core('WA0AA', [field_byte1, field_byte2]) def test_default_field_with_length_change_it(self) -> None: self._check_field_byte('EB0EB', 'EBW000', 10, input_len=10) field_byte = self._check_field_byte('EB0EB', 'EBW000', 6, input_len=6) self._check_core('EB0EB', [field_byte]) def test_based_field_delete(self) -> None: field_byte1 = self._check_field_byte('UI2PF', 'UI2CNN', 1, input_base_reg='R7') field_byte2 = self._check_field_byte('UI2PF', 'UI2INC', 3, input_len=3, input_base_reg='R6') self._check_core('UI2PF', [field_byte1, field_byte2], base_reg='R6') # Delete 1st field response = self.delete(f"/test_data/{self.test_data['id']}/output/cores/UI2PF/fields/UI2CNN") self.assertEqual(200, response.status_code) del self.macro_fields[0] self.assertDictEqual(field_byte1, response.json()) self._check_core('UI2PF', [field_byte2], base_reg='R6') # Deleting the 1st field again will give an error response = self.delete(f"/test_data/{self.test_data['id']}/output/cores/UI2PF/fields/UI2CNN") self.assertEqual(400, response.status_code) # Delete 2nd field response = self.delete(f"/test_data/{self.test_data['id']}/output/cores/UI2PF/fields/UI2INC") self.assertEqual(200, response.status_code) del self.macro_fields[0] response = self.get(f"/test_data/{self.test_data['id']}") self.assertEqual(200, response.status_code) self.assertEqual(list(), response.json()['outputs'][0]['cores']) def test_invalid_id(self): response = self.patch(f"/test_data/invalid_id/output/cores/WA0AA/fields", json={'field': 'WA0BBR'}) self.assertEqual(404, response.status_code) def test_no_field(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/cores/WA0AA/fields", json={}) self.assertEqual(400, response.status_code) def test_empty_field(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/cores/WA0AA/fields", json={'field': str()}) self.assertEqual(400, response.status_code) def test_invalid_macro(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/cores/INVALID_MACRO/fields", json={'field': 'WA0BBR'}) self.assertEqual(400, response.status_code) self.assertDictEqual({'message': 'Error in adding field', 'error': 'Bad Request'}, response.json()) def test_invalid_length(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/cores/WA0AA/fields", json={'field': 'WA0BBR', 'length': 'invalid_type'}) self.assertEqual(400, response.status_code) def test_invalid_data(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/cores/WA0AA/fields", json={'field': 'WA0BBR', 'data': 123}) self.assertEqual(400, response.status_code) def test_field_not_in_macro(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/cores/WA0AA/fields", json={'field': 'EBW000'}) self.assertEqual(400, response.status_code) response = self.get(f"/test_data/{self.test_data['id']}") self.assertEqual(self.test_data, response.json()) def test_data_in_body(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/cores/WA0AA/fields", json={'field': 'WA0BBR', 'data': 'some_data'}) self.assertEqual(400, response.status_code) def test_base_reg_for_default_macros(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/cores/WA0AA/fields", json={'field': 'WA0BBR', 'base_reg': 'R1'}) self.assertEqual(400, response.status_code) def test_no_base_reg_for_non_default_macros(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/cores/UI2PF/fields", json={'field': 'UI2CNN'}) self.assertEqual(400, response.status_code) def test_base_reg_R0_for_non_default_macros(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/cores/UI2PF/fields", json={'field': 'UI2CNN', 'base_reg': 'R0'}) self.assertEqual(400, response.status_code) def test_invalid_base_reg_number(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/cores/UI2PF/fields", json={'field': 'UI2CNN', 'base_reg': 12}) self.assertEqual(400, response.status_code) def test_invalid_base_reg(self): response = self.patch(f"/test_data/{self.test_data['id']}/output/cores/UI2PF/fields", json={'field': 'UI2CNN', 'base_reg': 'R16'}) self.assertEqual(400, response.status_code) def test_delete_invalid_id(self): response = self.delete(f"/test_data/invalid_id/output/cores/WA0AA/fields/WA0BBR") self.assertEqual(404, response.status_code) def test_delete_macro_name_not_in_core(self): response = self.delete(f"/test_data/{self.test_data['id']}/output/cores/WA0AA/fields/WA0BBR") self.assertEqual(400, response.status_code) self.assertDictEqual({'message': 'Error in deleting field', 'error': 'Bad Request'}, response.json()) class InputFields(TestAPI): def setUp(self) -> None: self.test_data: dict = self.get_sample_test_data() self.macro_fields: List[Tuple[str, str]] = list() self.maxDiff = None def tearDown(self) -> None: for macro_name, field_name in self.macro_fields: self.delete(f"/test_data/{self.test_data['id']}/input/cores/{macro_name}/fields/{quote(field_name)}") def _check_field_byte(self, macro_name: str, field_name: str, data: str) -> dict: body: dict = {'field': f"{field_name}", 'data': data, 'variation': 0, 'variation_name': str()} response = self.patch(f"/test_data/{self.test_data['id']}/input/cores/{macro_name}/fields", json=body) self.assertEqual(200, response.status_code) self.macro_fields.append((macro_name, field_name)) del body['variation'] del body['variation_name'] self.assertDictEqual(body, response.json()) return body def _check_core(self, macro_name: str, field_bytes: List[dict]): response = self.get(f"/test_data/{self.test_data['id']}") self.assertEqual(200, response.status_code) actual_test_data = response.json() expected_test_data = deepcopy(self.test_data) core_id = actual_test_data['cores'][0]['id'] core = {'id': core_id, 'base_reg': str(), 'field_data': list(), 'macro_name': macro_name, 'variation': 0, 'variation_name': str()} expected_test_data['cores'].append(core) expected_test_data['cores'][0]['field_data'].extend(field_bytes) self.assertDictEqual(expected_test_data, actual_test_data) def test_default_field(self) -> None: field_byte1 = self._check_field_byte('WA0AA', 'WA0BBR', 'F1F2') field_byte2 = self._check_field_byte('WA0AA', '#WA0TTY', '01') self._check_core('WA0AA', [field_byte1, field_byte2]) def test_based_field_delete(self) -> None: field_byte1 = self._check_field_byte('EB0EB', 'EBW000', '80') field_byte2 = self._check_field_byte('EB0EB', 'EBW001', 'C1C2C3C4') self._check_core('EB0EB', [field_byte1, field_byte2]) # Delete 1st field response = self.delete(f"/test_data/{self.test_data['id']}/input/cores/EB0EB/fields/EBW000") self.assertEqual(200, response.status_code) del self.macro_fields[0] self.assertDictEqual(field_byte1, response.json()) self._check_core('EB0EB', [field_byte2]) # Deleting the 1st field again will give an error response = self.delete(f"/test_data/{self.test_data['id']}/input/cores/EB0EB/fields/EBW000") self.assertEqual(400, response.status_code) # Delete 2nd field response = self.delete(f"/test_data/{self.test_data['id']}/input/cores/EB0EB/fields/EBW001") self.assertEqual(200, response.status_code) del self.macro_fields[0] response = self.get(f"/test_data/{self.test_data['id']}") self.assertEqual(200, response.status_code) self.assertEqual(list(), response.json()['cores']) def test_invalid_id(self): response = self.patch(f"/test_data/invalid_id/input/cores/WA0AA/fields", json={'field': 'WA0BBR', 'data': '01'}) self.assertEqual(404, response.status_code) def test_no_field(self): response = self.patch(f"/test_data/{self.test_data['id']}/input/cores/WA0AA/fields", json={'data': '01'}) self.assertEqual(400, response.status_code) def test_empty_field(self): response = self.patch(f"/test_data/{self.test_data['id']}/input/cores/WA0AA/fields", json={'field': str(), 'data': '01'}) self.assertEqual(400, response.status_code) def test_invalid_macro(self): response = self.patch(f"/test_data/{self.test_data['id']}/input/cores/INVALID_MACRO/fields", json={'field': 'WA0BBR', 'data': '01'}) self.assertEqual(400, response.status_code) self.assertDictEqual({'message': 'Error in adding field', 'error': 'Bad Request'}, response.json()) response = self.get(f"/test_data/{self.test_data['id']}") self.assertEqual(self.test_data, response.json()) def test_invalid_length(self): response = self.patch(f"/test_data/{self.test_data['id']}/input/cores/WA0AA/fields", json={'field': 'WA0BBR', 'length': 'invalid_type', 'data': '01'}) self.assertEqual(400, response.status_code) def test_invalid_data(self): response = self.patch(f"/test_data/{self.test_data['id']}/input/cores/WA0AA/fields", json={'field': 'WA0BBR', 'data': 123}) self.assertEqual(400, response.status_code) def test_field_not_in_macro(self): response = self.patch(f"/test_data/{self.test_data['id']}/input/cores/WA0AA/fields", json={'field': 'EBW000', 'data': '01'}) self.assertEqual(400, response.status_code) def test_no_data(self): response = self.patch(f"/test_data/{self.test_data['id']}/input/cores/WA0AA/fields", json={'field': 'WA0BBR'}) self.assertEqual(400, response.status_code) def test_empty_data(self): response = self.patch(f"/test_data/{self.test_data['id']}/input/cores/WA0AA/fields", json={'field': 'WA0BBR', 'data': ''}) self.assertEqual(400, response.status_code) def test_length_in_body(self): response = self.patch(f"/test_data/{self.test_data['id']}/input/cores/WA0AA/fields", json={'field': 'WA0BBR', 'data': '01', 'length': 1}) self.assertEqual(400, response.status_code) def test_base_reg_in_body(self): response = self.patch(f"/test_data/{self.test_data['id']}/input/cores/WA0AA/fields", json={'field': 'WA0BBR', 'data': '01', 'base_reg': 'R1'}) self.assertEqual(400, response.status_code) def test_delete_invalid_id(self): response = self.delete(f"/test_data/invalid_id/input/cores/WA0AA/fields/WA0BBR") self.assertEqual(404, response.status_code) def test_delete_macro_name_not_in_core(self): response = self.delete(f"/test_data/{self.test_data['id']}/input/cores/WA0AA/fields/WA0BBR") self.assertEqual(400, response.status_code) self.assertDictEqual({'message': 'Error in deleting field', 'error': 'Bad Request'}, response.json()) class InputRegisters(TestAPI): def setUp(self) -> None: self.test_data: dict = self.get_sample_test_data() self.reg_list: list = list() self.maxDiff = None def tearDown(self) -> None: for reg in self.reg_list: self.delete(f"/test_data/{self.test_data['id']}/input/regs/{reg}") return def test_few_reg_delete(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'reg': 'R14', 'value': 10}) self.assertEqual(200, response.status_code) self.assertDictEqual({'test_data_id': self.test_data['id']}, response.json()) self.reg_list.append('R14') response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'reg': 'R3', 'value': -5}) self.assertEqual(200, response.status_code) self.reg_list.append('R3') response = self.get(f"/test_data/{self.test_data['id']}") self.assertEqual(200, response.status_code) test_data = deepcopy(self.test_data) test_data['regs']['R14'] = 10 test_data['regs']['R3'] = -5 self.assertDictEqual(test_data, response.json()) response = self.delete(f"/test_data/{self.test_data['id']}/input/regs/r14") self.assertEqual(400, response.status_code) response = self.delete(f"/test_data/{self.test_data['id']}/input/regs/R14") self.assertEqual(200, response.status_code) self.reg_list.remove('R14') self.assertDictEqual({'test_data_id': self.test_data['id']}, response.json()) response = self.get(f"/test_data/{self.test_data['id']}") self.assertEqual(200, response.status_code) del test_data['regs']['R14'] self.assertDictEqual(test_data, response.json()) response = self.delete(f"/test_data/{self.test_data['id']}/input/regs/R3") self.assertEqual(200, response.status_code) self.reg_list.remove('R3') response = self.get(f"/test_data/{self.test_data['id']}") self.assertEqual(200, response.status_code) self.assertDictEqual(self.test_data, response.json()) def test_invalid_id(self) -> None: response = self.patch(f"/test_data/invalid_id/input/regs", json={'reg': 'R14', 'value': 10}) self.assertEqual(404, response.status_code) def test_key_regs(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'regs': 'R14', 'value': 10}) self.assertEqual(400, response.status_code) self.assertDictEqual({'message': 'Invalid format of input Register', 'error': 'Bad Request'}, response.json()) def test_no_reg(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'value': 10}) self.assertEqual(400, response.status_code) def test_reg_not_string(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'reg': 10, 'value': 10}) self.assertEqual(400, response.status_code) def test_invalid_reg(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'reg': 'r1', 'value': 10}) self.assertEqual(400, response.status_code) def test_empty_body(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={}) self.assertEqual(400, response.status_code) def test_key_values(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'reg': 'R14', 'values': 10}) self.assertEqual(400, response.status_code) def test_no_value(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'reg': 'R14'}) self.assertEqual(400, response.status_code) def test_value_not_int(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'reg': 'R14', 'value': '10'}) self.assertEqual(400, response.status_code) def test_value_high(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'reg': 'R14', 'value': 2147483648}) self.assertEqual(400, response.status_code) def test_value_high_boundary(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'reg': 'R14', 'value': 2147483647}) self.assertEqual(200, response.status_code) self.reg_list.append('R14') def test_value_low(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'reg': 'R1', 'value': -2147483649}) self.assertEqual(400, response.status_code) def test_value_low_boundary(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'reg': 'R1', 'value': -2147483648}) self.assertEqual(200, response.status_code) self.reg_list.append('R1') def test_3_keys(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json={'reg': 'R1', 'value': 1, 'val': 3}) self.assertEqual(400, response.status_code) def test_multiple_reg(self) -> None: response = self.patch(f"/test_data/{self.test_data['id']}/input/regs", json=[{'reg': 'R1', 'value': 12}, {'reg': 'R3', 'value': 32}]) self.assertEqual(400, response.status_code) def test_delete_invalid_id(self) -> None: response = self.delete(f"/test_data/invalid_id/input/regs/R1") self.assertEqual(404, response.status_code) def test_delete_reg_not_present(self) -> None: response = self.delete(f"/test_data/{self.test_data['id']}/input/regs/R1") self.assertEqual(400, response.status_code) self.assertDictEqual({'message': 'Invalid Register', 'error': 'Bad Request'}, response.json())

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null

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1

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null

0

6

45bee478e5a166be9cec6d292d6f4fb82e64ddfa

133

py

Python

syft/frameworks/torch/__init__.py

antonrd/PySyft

c23d17022fc83774119b737059aed3d5e3dff20b

[ "Apache-2.0" ]

null

syft/frameworks/torch/__init__.py

antonrd/PySyft

c23d17022fc83774119b737059aed3d5e3dff20b

[ "Apache-2.0" ]

null

syft/frameworks/torch/__init__.py

antonrd/PySyft

c23d17022fc83774119b737059aed3d5e3dff20b

[ "Apache-2.0" ]

null

from . import hook_args from . import tensors from . import federated from . import differential_privacy from .hook import TorchHook

22.166667

34

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133

5.888889

0.5

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6

45cbb4e26286c0ae8832cf175df8541c3f547d73

241

py

Python

zcrmsdk/src/com/zoho/crm/api/dc/__init__.py

zoho/zohocrm-python-sdk-2.0

3a93eb3b57fed4e08f26bd5b311e101cb2995411

[ "Apache-2.0" ]

null

zcrmsdk/src/com/zoho/crm/api/dc/__init__.py

zoho/zohocrm-python-sdk-2.0

3a93eb3b57fed4e08f26bd5b311e101cb2995411

[ "Apache-2.0" ]

null

zcrmsdk/src/com/zoho/crm/api/dc/__init__.py

zoho/zohocrm-python-sdk-2.0

3a93eb3b57fed4e08f26bd5b311e101cb2995411

[ "Apache-2.0" ]

null

from .au_data_center import AUDataCenter from .cn_data_center import CNDataCenter from .data_center import DataCenter from .eu_data_center import EUDataCenter from .in_data_center import INDataCenter from .us_data_center import USDataCenter

34.428571

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0

1

0

1

0

6

45d7b36587ca0e172a727eeec4826e7953a8a1c5

29

py

Python

pg_check/__init__.py

rleitemayermore-godaddy/pgsql_proxy_checker

9cf7f540622464b007a9735d7f9fa775156daea2

[ "BSD-3-Clause" ]

null

pg_check/__init__.py

rleitemayermore-godaddy/pgsql_proxy_checker

9cf7f540622464b007a9735d7f9fa775156daea2

[ "BSD-3-Clause" ]

null

pg_check/__init__.py

rleitemayermore-godaddy/pgsql_proxy_checker

9cf7f540622464b007a9735d7f9fa775156daea2

[ "BSD-3-Clause" ]

null

from .pg_check import PgCheck

29

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0

6

afd7e3a748d5eb7c86a629467bdfa6b6b2e3d424

19,865

py

Python

dragonflow/controller/apps/sfc_mpls_driver.py

qianyuqiao/dragonflow

0f154d4f794b02ac5b7fd61a3417d89e7b10912d

[ "Apache-2.0" ]

null

dragonflow/controller/apps/sfc_mpls_driver.py

qianyuqiao/dragonflow

0f154d4f794b02ac5b7fd61a3417d89e7b10912d

[ "Apache-2.0" ]

null

dragonflow/controller/apps/sfc_mpls_driver.py

qianyuqiao/dragonflow

0f154d4f794b02ac5b7fd61a3417d89e7b10912d

[ "Apache-2.0" ]

null

# 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. from os_ken.lib.packet import ether_types from oslo_log import log from dragonflow.controller.apps import sfc_driver_base from dragonflow.controller.common import constants from dragonflow.db.models import sfc LOG = log.getLogger(__name__) def _get_index_by_id(lst, obj): return next(i for i, o in enumerate(lst) if o.id == obj.id) def _create_group_id(label, extra): # FIXME add global way to share group IDs return (label << 8) | extra def _get_dispatch_to_all_group_id(label): return _create_group_id(label, 1) def _get_dispatch_locally_group_id(label): return _create_group_id(label, 2) class _SimpleMplsLabelAllocator(object): @classmethod def _create_label(cls, chain_idx, fc_idx, ppg_idx): return ppg_idx | (fc_idx << 8) | (chain_idx << 11) @classmethod def _get_ingress_label(cls, port_chain, flow_classifier, port_pair_group): fc_idx = _get_index_by_id( port_chain.flow_classifiers, flow_classifier, ) ppg_idx = _get_index_by_id( port_chain.port_pair_groups, port_pair_group, ) return cls._create_label(port_chain.chain_id, fc_idx, ppg_idx) @classmethod def _get_egress_label(cls, port_chain, flow_classifier, port_pair_group): label = cls._get_ingress_label( port_chain, flow_classifier, port_pair_group, ) return label + 1 @classmethod def _get_encap_label(cls, port_chain, flow_classifier): # Can be done faster but this reads better return cls._get_ingress_label( port_chain, flow_classifier, port_chain.port_pair_groups[0], ) @classmethod def _get_decap_label(cls, port_chain, flow_classifier): # Can be done faster but this reads better return cls._get_egress_label( port_chain, flow_classifier, port_chain.port_pair_groups[-1], ) class MplsDriver(_SimpleMplsLabelAllocator, sfc_driver_base.SfcBaseDriver): _ETH_TYPE_TO_TC = { ether_types.ETH_TYPE_IP: 0, ether_types.ETH_TYPE_IPV6: 1, } def __init__(self, app): self.app = app def install_encap_flows(self, port_chain, flow_classifier): for eth_type in self._ETH_TYPE_TO_TC: self.app.mod_flow( table_id=constants.SFC_ENCAP_TABLE, priority=constants.PRIORITY_HIGH, match=self.app.parser.OFPMatch( reg2=flow_classifier.unique_key, eth_type=eth_type, ), inst=[ self.app.parser.OFPInstructionActions( self.app.ofproto.OFPIT_APPLY_ACTIONS, [ self.app.parser.OFPActionPushMpls( ether_types.ETH_TYPE_MPLS, ), self.app.parser.OFPActionSetField( mpls_label=self._get_encap_label( port_chain, flow_classifier, ), ), self.app.parser.OFPActionSetField( mpls_tc=self._ETH_TYPE_TO_TC[eth_type], ), ], ), self.app.parser.OFPInstructionGotoTable( constants.SFC_MPLS_DISPATCH_TABLE ), ], ) def uninstall_encap_flows(self, port_chain, flow_classifier): for eth_type in self._ETH_TYPE_TO_TC: self.app.mod_flow( command=self.app.ofproto.OFPFC_DELETE_STRICT, table_id=constants.SFC_ENCAP_TABLE, priority=constants.PRIORITY_HIGH, match=self.app.parser.OFPMatch( reg2=flow_classifier.unique_key, eth_type=eth_type, ), ) def install_decap_flows(self, port_chain, flow_classifier): for eth_type in self._ETH_TYPE_TO_TC: self.app.mod_flow( table_id=constants.SFC_MPLS_DISPATCH_TABLE, priority=constants.PRIORITY_HIGH, match=self.app.parser.OFPMatch( eth_type=ether_types.ETH_TYPE_MPLS, mpls_label=self._get_decap_label( port_chain, flow_classifier, ), mpls_tc=self._ETH_TYPE_TO_TC[eth_type], ), inst=[ self.app.parser.OFPInstructionActions( self.app.ofproto.OFPIT_APPLY_ACTIONS, [ self.app.parser.OFPActionPopMpls(eth_type), self.app.parser.OFPActionSetField( reg2=flow_classifier.unique_key, ), ], ), self.app.parser.OFPInstructionGotoTable( constants.SFC_END_OF_CHAIN_TABLE, ), ], ) def uninstall_decap_flows(self, port_chain, flow_classifier): for eth_type in self._ETH_TYPE_TO_TC: self.app.mod_flow( command=self.app.ofproto.OFPFC_DELETE_STRICT, table_id=constants.SFC_MPLS_DISPATCH_TABLE, priority=constants.PRIORITY_HIGH, match=self.app.parser.OFPMatch( eth_type=ether_types.ETH_TYPE_MPLS, mpls_label=self._get_decap_label( port_chain, flow_classifier ), mpls_tc=self._ETH_TYPE_TO_TC[eth_type], ), ) def install_forward_to_dest(self, port_chain, flow_classifier): for eth_type in self._ETH_TYPE_TO_TC: self.app.mod_flow( table_id=constants.SFC_MPLS_DISPATCH_TABLE, priority=constants.PRIORITY_HIGH, match=self.app.parser.OFPMatch( eth_type=ether_types.ETH_TYPE_MPLS, mpls_label=self._get_decap_label( port_chain, flow_classifier ), mpls_tc=self._ETH_TYPE_TO_TC[eth_type], ), inst=[ self.app.parser.OFPInstructionActions( self.app.ofproto.OFPIT_APPLY_ACTIONS, [ self.app.parser.OFPActionSetField( reg2=flow_classifier.dest_port.unique_key, ), ], ), self.app.parser.OFPInstructionGotoTable( constants.EGRESS_TABLE, ), ], ) def uninstall_forward_to_dest(self, port_chain, flow_classifier): for eth_type in self._ETH_TYPE_TO_TC: self.app.mod_flow( command=self.app.ofproto.OFPFC_DELETE_STRICT, priority=constants.PRIORITY_HIGH, table_id=constants.SFC_MPLS_DISPATCH_TABLE, match=self.app.parser.OFPMatch( eth_type=ether_types.ETH_TYPE_MPLS, mpls_label=self._get_decap_label( port_chain, flow_classifier, ), mpls_tc=self._ETH_TYPE_TO_TC[eth_type], ), ) def _port_pair_to_bucket(self, port_pair): if ( port_pair.correlation_mechanism == sfc.CORR_MPLS or not port_pair.ingress_port.is_local ): next_table = constants.EGRESS_TABLE else: next_table = constants.SFC_MPLS_PP_DECAP_TABLE actions = [ self.app.parser.OFPActionSetField( reg7=port_pair.ingress_port.unique_key, ), self.app.parser.NXActionResubmitTable(table_id=next_table), ] return self.app.parser.OFPBucket(actions=actions, weight=1) def _install_port_pair_decap_flows(self, label): for eth_type in self._ETH_TYPE_TO_TC: self.app.mod_flow( table_id=constants.SFC_MPLS_PP_DECAP_TABLE, priority=constants.PRIORITY_HIGH, match=self.app.parser.OFPMatch( eth_type=ether_types.ETH_TYPE_MPLS, mpls_label=label, mpls_tc=self._ETH_TYPE_TO_TC[eth_type], ), actions=[ self.app.parser.OFPActionPopMpls(eth_type), self.app.parser.NXActionResubmitTable( table_id=constants.EGRESS_TABLE, ), ], ) def _uninstall_port_pair_decap_flows(self, label): self.app.mod_flow( command=self.app.ofproto.OFPFC_DELETE_STRICT, table_id=constants.SFC_MPLS_PP_DECAP_TABLE, priority=constants.PRIORITY_HIGH, match=self.app.parser.OFPMatch( eth_type=ether_types.ETH_TYPE_MPLS, mpls_label=label, ), ) def _install_dispatch_to_all_port_pairs(self, port_pair_group, label): all_group_id = _get_dispatch_to_all_group_id(label) # Add group: pick random SF from all available self.app.add_group( group_id=all_group_id, group_type=self.app.ofproto.OFPGT_SELECT, buckets=[ self._port_pair_to_bucket(pp) for pp in port_pair_group.port_pairs ], replace=True, ) # Add flow: label => execute above group self.app.mod_flow( table_id=constants.SFC_MPLS_DISPATCH_TABLE, priority=constants.PRIORITY_HIGH, match=self.app.parser.OFPMatch( eth_type=ether_types.ETH_TYPE_MPLS, mpls_label=label, ), actions=[self.app.parser.OFPActionGroup(group_id=all_group_id)], ) def _uninstall_dispatch_to_all_port_pairs(self, port_pair_group, label): all_group_id = _get_dispatch_to_all_group_id(label) # Remove execute group flow self.app.mod_flow( command=self.app.ofproto.OFPFC_DELETE_STRICT, table_id=constants.SFC_MPLS_DISPATCH_TABLE, priority=constants.PRIORITY_HIGH, match=self.app.parser.OFPMatch( eth_type=ether_types.ETH_TYPE_MPLS, mpls_label=label, ), ) # Delete group self.app.del_group( group_id=all_group_id, group_type=self.app.ofproto.OFPGT_SELECT, ) def _install_dispatch_to_local_port_pairs(self, port_pair_group, label): local_pps = [ pp for pp in port_pair_group.port_pairs if pp.ingress_port.is_local ] if not local_pps: return local_group_id = _get_dispatch_locally_group_id(label) # Add group: pick random SF from local only self.app.add_group( group_id=local_group_id, group_type=self.app.ofproto.OFPGT_SELECT, buckets=[self._port_pair_to_bucket(pp) for pp in local_pps], replace=True, ) # Add flow: label => execute above group self.app.mod_flow( table_id=constants.INGRESS_DESTINATION_PORT_LOOKUP_TABLE, priority=constants.PRIORITY_VERY_HIGH, match=self.app.parser.OFPMatch( eth_type=ether_types.ETH_TYPE_MPLS, mpls_label=label, ), actions=[self.app.parser.OFPActionGroup(group_id=local_group_id)], ) def _uninstall_dispatch_to_local_port_pairs(self, port_pair_group, label): local_pps = [ pp for pp in port_pair_group.port_pairs if pp.ingress_port.is_local ] if not local_pps: return self.app.mod_flow( command=self.app.ofproto.OFPFC_DELETE_STRICT, table_id=constants.INGRESS_DESTINATION_PORT_LOOKUP_TABLE, priority=constants.PRIORITY_VERY_HIGH, match=self.app.parser.OFPMatch( eth_type=ether_types.ETH_TYPE_MPLS, mpls_label=label, ), ) local_group_id = _get_dispatch_locally_group_id(label) self.app.del_group( group_id=local_group_id, group_type=self.app.ofproto.OFPGT_SELECT, ) def install_port_pair_group_flows(self, port_chain, port_pair_group): for flow_classifier in port_chain.flow_classifiers: label = self._get_ingress_label( port_chain, flow_classifier, port_pair_group, ) # Flows to remove MPLS shim for non MPLS service functions self._install_port_pair_decap_flows(label) self._install_dispatch_to_all_port_pairs(port_pair_group, label) self._install_dispatch_to_local_port_pairs(port_pair_group, label) def uninstall_port_pair_group_flows(self, port_chain, port_pair_group): for flow_classifier in port_chain.flow_classifiers: label = self._get_ingress_label( port_chain, flow_classifier, port_pair_group, ) self._uninstall_port_pair_decap_flows(label) self._uninstall_dispatch_to_all_port_pairs(port_pair_group, label) self._uninstall_dispatch_to_local_port_pairs( port_pair_group, label) def install_port_pair_egress_flows(self, port_chain, port_pair_group, port_pair): if port_pair.correlation_mechanism == sfc.CORR_MPLS: self._install_mpls_port_pair_egress_flows( port_chain, port_pair_group, port_pair, ) elif port_pair.correlation_mechanism == sfc.CORR_NONE: self._install_none_port_pair_egress_flows( port_chain, port_pair_group, port_pair, ) else: LOG.warning('Driver does not support correlation_mechanism %s', port_pair.correlation_mechanism) def _install_mpls_port_pair_egress_flows(self, port_chain, port_pair_group, port_pair): for flow_classifier in port_chain.flow_classifiers: self.app.mod_flow( table_id=self.app.dfdp.apps['portsec'].states.main, priority=constants.PRIORITY_VERY_HIGH, match=self.app.parser.OFPMatch( reg6=port_pair.egress_port.unique_key, eth_type=ether_types.ETH_TYPE_MPLS, mpls_label=self._get_ingress_label( port_chain, flow_classifier, port_pair_group, ), ), actions=[ self.app.parser.OFPActionSetField( mpls_label=self._get_egress_label( port_chain, flow_classifier, port_pair_group ), ), self.app.parser.NXActionResubmitTable( table_id=constants.SFC_MPLS_DISPATCH_TABLE), ], ) def _install_none_port_pair_egress_flows(self, port_chain, port_pair_group, port_pair): for flow_classifier in port_chain.flow_classifiers: mpls_label = self._get_egress_label( port_chain, flow_classifier, port_pair_group, ) for eth_type in self._ETH_TYPE_TO_TC: self.app.mod_flow( table_id=self.app.dfdp.apps['portsec'].states.main, priority=constants.PRIORITY_VERY_HIGH, match=self.app.parser.OFPMatch( reg6=port_pair.egress_port.unique_key, eth_type=eth_type, ), actions=[ self.app.parser.OFPActionPushMpls( ether_types.ETH_TYPE_MPLS, ), self.app.parser.OFPActionSetField( mpls_label=mpls_label, ), self.app.parser.OFPActionSetField( mpls_tc=self._ETH_TYPE_TO_TC[eth_type], ), self.app.parser.NXActionResubmitTable( table_id=constants.SFC_MPLS_DISPATCH_TABLE, ), ], ) def uninstall_port_pair_egress_flows(self, port_chain, port_pair_groups, port_pair): if port_pair.correlation_mechanism == sfc.CORR_MPLS: self._uninstall_mpls_port_pair_egress_flows( port_chain, port_pair_groups, port_pair, ) elif port_pair.correlation_mechanism == sfc.CORR_NONE: self._uninstall_none_port_pair_egress_flows(port_pair) else: LOG.warning('Driver does not support correlation_mechanism %s', port_pair.correlation_mechanism) def _uninstall_mpls_port_pair_egress_flows(self, port_chain, port_pair_group, port_pair): for flow_classifier in port_chain.flow_classifiers: self.app.mod_flow( command=self.app.ofproto.OFPFC_DELETE_STRICT, table_id=self.app.dfdp.apps['portsec'].states.main, priority=constants.PRIORITY_VERY_HIGH, match=self.app.parser.OFPMatch( reg6=port_pair.egress_port.unique_key, eth_type=ether_types.ETH_TYPE_MPLS, mpls_label=self._get_ingress_label( port_chain, flow_classifier, port_pair_group, ), ), ) def _uninstall_none_port_pair_egress_flows(self, port_pair): for eth_type in self._ETH_TYPE_TO_TC: self.app.mod_flow( command=self.app.ofproto.OFPFC_DELETE_STRICT, priority=constants.PRIORITY_VERY_HIGH, table_id=self.app.dfdp.apps['portsec'].states.main, match=self.app.parser.OFPMatch( reg6=port_pair.egress_port.unique_key, eth_type=eth_type, ), )

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0.054519

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0.115385

0

null

0

1

0

null

0

6

2fda7227aee9118033d6a354546099fcaaf10a38

42

py

Python

src/err.py

rome2rio/TokyoGTFS

c641529cd4e1d84692e85060dacb710270bc235f

[ "MIT" ]

10

2018-10-24T13:49:18.000Z

2022-02-06T22:58:34.000Z

src/err.py

rome2rio/TokyoGTFS

c641529cd4e1d84692e85060dacb710270bc235f

[ "MIT" ]

null

src/err.py

rome2rio/TokyoGTFS

c641529cd4e1d84692e85060dacb710270bc235f

[ "MIT" ]

6

2019-04-17T03:57:29.000Z

2021-01-26T11:44:53.000Z

class DataAssertion(ValueError): pass

14

32

0.761905

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42

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1

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0.166667

42

2

33

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0.914286

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null

0

1

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1

0

6

2fe77d8442e9e6b9161ccca2bfeb8070e1f3e766

57

py

Python

libs/annea_foo/src/annea_foo/__init__.py

annea-ai/python-framework

d24fb5fa20c534c7451513eb2a08bb55907b7857

[ "MIT" ]

null

libs/annea_foo/src/annea_foo/__init__.py

annea-ai/python-framework

d24fb5fa20c534c7451513eb2a08bb55907b7857

[ "MIT" ]

null

libs/annea_foo/src/annea_foo/__init__.py

annea-ai/python-framework

d24fb5fa20c534c7451513eb2a08bb55907b7857

[ "MIT" ]

null

from .example import print_joke # pylint: disable=E0401

28.5

56

0.789474

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null

0

1

0

1

0

1

0

6

64080893042fe03d07506d2810e9121b5f68f24b

44

py

Python

bin/pycid/__init__.py

runborg/pycid

dd0379592ca2cd5c78ad9bf40917f4bfa9c0ef0c

[ "MIT" ]

null

bin/pycid/__init__.py

runborg/pycid

dd0379592ca2cd5c78ad9bf40917f4bfa9c0ef0c

[ "MIT" ]

null

bin/pycid/__init__.py

runborg/pycid

dd0379592ca2cd5c78ad9bf40917f4bfa9c0ef0c

[ "MIT" ]

null

import mfnmatch from loginrc import loginrc

14.666667

27

0.863636

6

44

6.333333

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0

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null

0

1

0

1

0

1

0

6

6421c677c4853c692cd2a45f7af1d3aa50c0928d

3,484

py

Python

MainGenerator.py

rexliu3/MineSweeper

e9c0751ed95d22f0042122dec5b7a5d1c8871fae

[ "MIT" ]

null

MainGenerator.py

rexliu3/MineSweeper

e9c0751ed95d22f0042122dec5b7a5d1c8871fae

[ "MIT" ]

null

MainGenerator.py

rexliu3/MineSweeper

e9c0751ed95d22f0042122dec5b7a5d1c8871fae

[ "MIT" ]

null

from random import randint def can_place(row, column, notRow, notColumn, numRows, numColumns): # Returns True if can place there if row == notRow or column == notColumn: return False if row != 0 and column != 0 and notRow == row - 1 and notColumn == column - 1: return False if row != 0 and notRow == row - 1 and notColumn == column: return False if row != 0 and column != numColumns - 1 and notRow == row - 1 and notColumn == column + 1: return False if column != 0 and notRow == row and notColumn == column - 1: return False if column != numColumns - 1 and notRow == row and notColumn == column + 1: return False if row != numRows - 1 and column != 0 and notRow == row + 1 and notColumn == column - 1: return False if row != numRows - 1 and notRow == row + 1 and notColumn == column: return False if row != numRows - 1 and column != numColumns - 1 and notRow == row + 1 and notColumn == column + 1: return False return True def place_mines(board, numRows, numColumns, numMines, notRow, notColumn): for k in range(numMines): rowCoordinate = randint(0, numRows - 1) columnCoordinate = randint(0, numColumns - 1) while not can_place(rowCoordinate, columnCoordinate, notRow, notColumn, numRows, numColumns): rowCoordinate = randint(0, numRows - 1) columnCoordinate = randint(0, numColumns - 1) while board[rowCoordinate][columnCoordinate] < 0: rowCoordinate = randint(0, numRows - 1) columnCoordinate = randint(0, numColumns - 1) board[rowCoordinate][columnCoordinate] = -1 if rowCoordinate != 0 and columnCoordinate != 0: if board[rowCoordinate - 1][columnCoordinate - 1] >= 0: board[rowCoordinate - 1][columnCoordinate - 1] += 1 if rowCoordinate != 0: if board[rowCoordinate - 1][columnCoordinate] >= 0: board[rowCoordinate - 1][columnCoordinate] += 1 if rowCoordinate != 0 and columnCoordinate != numColumns - 1: if board[rowCoordinate - 1][columnCoordinate + 1] >= 0: board[rowCoordinate - 1][columnCoordinate + 1] += 1 if columnCoordinate != 0: if board[rowCoordinate][columnCoordinate - 1] >= 0: board[rowCoordinate][columnCoordinate - 1] += 1 if columnCoordinate != numColumns - 1: if board[rowCoordinate][columnCoordinate + 1] >= 0: board[rowCoordinate][columnCoordinate + 1] += 1 if rowCoordinate != numRows - 1 and columnCoordinate != 0: if board[rowCoordinate + 1][columnCoordinate - 1] >= 0: board[rowCoordinate + 1][columnCoordinate - 1] += 1 if rowCoordinate != numRows - 1: if board[rowCoordinate + 1][columnCoordinate] >= 0: board[rowCoordinate + 1][columnCoordinate] += 1 if rowCoordinate != numRows - 1 and columnCoordinate != numColumns - 1: if board[rowCoordinate + 1][columnCoordinate + 1] >= 0: board[rowCoordinate + 1][columnCoordinate + 1] += 1 return board def set_up(board, numRows, numColumns, numMines, notRow, notColumn): for i in range(numRows): board.append([]) for j in range(numColumns): board[i].append(0) board = place_mines(board, numRows, numColumns, numMines, notRow, notColumn) return board

42.487805

105

0.609644

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5.489637

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1

0

null

0

6

643e2a960cdf0bbd447bcc29cd9eb2fc4ac7ca4b

1,236

py

Python

tests/test_windows.py

ThatXliner/userpath

fb29f5a7049d9bc84729d2c2b5a893253e1d8eaa

[ "Apache-2.0", "MIT" ]

111

2017-09-21T02:02:55.000Z

2022-02-07T14:53:20.000Z

tests/test_windows.py

ThatXliner/userpath

fb29f5a7049d9bc84729d2c2b5a893253e1d8eaa

[ "Apache-2.0", "MIT" ]

30

2017-09-21T11:54:03.000Z

2022-03-14T15:53:23.000Z

tests/test_windows.py

ThatXliner/userpath

fb29f5a7049d9bc84729d2c2b5a893253e1d8eaa

[ "Apache-2.0", "MIT" ]

19

2017-09-21T08:59:55.000Z

2021-12-25T20:39:31.000Z

import pytest import userpath from .utils import ON_WINDOWS_CI, get_random_path pytestmark = pytest.mark.skipif(not ON_WINDOWS_CI, reason='Tests only for throwaway Windows VMs on CI') def test_prepend(): location = get_random_path() assert not userpath.in_current_path(location) assert userpath.prepend(location, check=True) assert userpath.in_new_path(location) assert userpath.need_shell_restart(location) def test_prepend_multiple(): locations = [get_random_path(), get_random_path()] assert not userpath.in_current_path(locations) assert userpath.prepend(locations, check=True) assert userpath.in_new_path(locations) assert userpath.need_shell_restart(locations) def test_append(): location = get_random_path() assert not userpath.in_current_path(location) assert userpath.append(location, check=True) assert userpath.in_new_path(location) assert userpath.need_shell_restart(location) def test_append_multiple(): locations = [get_random_path(), get_random_path()] assert not userpath.in_current_path(locations) assert userpath.append(locations, check=True) assert userpath.in_new_path(locations) assert userpath.need_shell_restart(locations)

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0

null

0

1

0

null

0

1

0

6

ff8cda8091eb9ac1faf7eefbc023d55f44c577bc

5,433

py

Python

tests/fields/test_o2o_with_unique.py

blazing-gig/tortoise-orm

811bbcb12c702c5f45e3d86ce6e0b2ab386459df

[ "Apache-2.0" ]

2,847

2018-08-27T12:02:21.000Z

2022-03-31T01:30:40.000Z

tests/fields/test_o2o_with_unique.py

Tomes111/tortoise-orm

8b55499a228e44f33fec9099f4d559c77c73beb7

[ "Apache-2.0" ]

983

2018-08-24T16:42:41.000Z

2022-03-30T05:14:49.000Z

tests/fields/test_o2o_with_unique.py

Tomes111/tortoise-orm

8b55499a228e44f33fec9099f4d559c77c73beb7

[ "Apache-2.0" ]

323

2018-09-04T23:38:42.000Z

2022-03-31T06:49:17.000Z

from tests import testmodels from tortoise.contrib import test from tortoise.exceptions import IntegrityError, OperationalError from tortoise.queryset import QuerySet class TestOneToOneFieldWithUnique(test.TestCase): async def test_principal__empty(self): with self.assertRaises(IntegrityError): await testmodels.Principal.create() async def test_principal__create_by_id(self): school = await testmodels.School.create(id=1024, name="School1") principal = await testmodels.Principal.create(name="Sang-Heon Jeon", school_id=school.id) self.assertEqual(principal.school_id, school.id) self.assertEqual(await school.principal, principal) async def test_principal__create_by_name(self): school = await testmodels.School.create(id=1024, name="School1") principal = await testmodels.Principal.create(name="Sang-Heon Jeon", school=school) await principal.fetch_related("school") self.assertEqual(principal.school, school) self.assertEqual(await school.principal, principal) async def test_principal__by_name__created_prefetched(self): school = await testmodels.School.create(id=1024, name="School1") principal = await testmodels.Principal.create(name="Sang-Heon Jeon", school=school) self.assertEqual(principal.school, school) self.assertEqual(await school.principal, principal) async def test_principal__by_name__unfetched(self): school = await testmodels.School.create(id=1024, name="School1") principal = await testmodels.Principal.create(name="Sang-Heon Jeon", school=school) principal = await testmodels.Principal.get(id=principal.id) self.assertIsInstance(principal.school, QuerySet) async def test_principal__by_name__re_awaited(self): school = await testmodels.School.create(id=1024, name="School1") principal = await testmodels.Principal.create(name="Sang-Heon Jeon", school=school) await principal.fetch_related("school") self.assertEqual(principal.school, school) self.assertEqual(await principal.school, school) async def test_principal__by_name__awaited(self): school = await testmodels.School.create(id=1024, name="School1") principal = await testmodels.Principal.create(name="Sang-Heon Jeon", school=school) principal = await testmodels.Principal.get(id=principal.id) self.assertEqual(await principal.school, school) self.assertEqual(await school.principal, principal) async def test_update_by_name(self): school = await testmodels.School.create(id=1024, name="School1") school2 = await testmodels.School.create(id=2048, name="School2") principal0 = await testmodels.Principal.create(name="Sang-Heon Jeon", school=school) await testmodels.Principal.filter(id=principal0.id).update(school=school2) principal = await testmodels.Principal.get(id=principal0.id) await principal.fetch_related("school") self.assertEqual(principal.school, school2) self.assertEqual(await school.principal, None) self.assertEqual(await school2.principal, principal) async def test_update_by_id(self): school = await testmodels.School.create(id=1024, name="School1") school2 = await testmodels.School.create(id=2048, name="School2") principal0 = await testmodels.Principal.create(name="Sang-Heon Jeon", school_id=school.id) await testmodels.Principal.filter(id=principal0.id).update(school_id=school2.id) principal = await testmodels.Principal.get(id=principal0.id) self.assertEqual(principal.school_id, school2.id) self.assertEqual(await school.principal, None) self.assertEqual(await school2.principal, principal) async def test_delete_by_name(self): school = await testmodels.School.create(id=1024, name="School1") principal = await testmodels.Principal.create(name="Sang-Heon Jeon", school=school) del principal.school with self.assertRaises(IntegrityError): await principal.save() async def test_principal__uninstantiated_create(self): school = await testmodels.School(id=1024, name="School1") with self.assertRaisesRegex(OperationalError, "You should first call .save()"): await testmodels.Principal.create(name="Sang-Heon Jeon", school=school) async def test_principal__instantiated_create(self): school = await testmodels.School.create(id=1024, name="School1") await testmodels.Principal.create(name="Sang-Heon Jeon", school=school) async def test_principal__fetched_bool(self): school = await testmodels.School.create(id=1024, name="School1") await school.fetch_related("principal") self.assertFalse(bool(school.principal)) await testmodels.Principal.create(name="Sang-Heon Jeon", school=school) await school.fetch_related("principal") self.assertTrue(bool(school.principal)) async def test_principal__filter(self): school = await testmodels.School.create(id=1024, name="School1") principal = await testmodels.Principal.create(name="Sang-Heon Jeon1", school=school) self.assertEqual(await school.principal.filter(name="Sang-Heon Jeon1"), principal) self.assertEqual(await school.principal.filter(name="Sang-Heon Jeon2"), None)

51.742857

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643

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0.099533

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null

0

1

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null

0

6

ff997edd9351db4ffb5a26bb71c5a55ce775b90e

487

py

Python

PyTeacher/bgui/text/__init__.py

Banshee1221/PyRob

4a35976cffe519480b90c3b967949c659d00fbfd

[ "MIT" ]

40

2015-02-04T02:38:12.000Z

2022-01-31T03:14:35.000Z

src/upbgui/text/__init__.py

ShaunKulesa/UPBGUI

487d68de7a2b083648a16b1675832ff43f0ee4a2

[ "MIT" ]

2

2018-08-25T16:28:19.000Z

2021-12-19T12:56:47.000Z

src/upbgui/text/__init__.py

ShaunKulesa/UPBGUI

487d68de7a2b083648a16b1675832ff43f0ee4a2

[ "MIT" ]

17

2015-02-05T00:02:56.000Z

2022-01-11T21:51:49.000Z

import abc #TODO: This just follows the blf interface, which isn't very Pythonic class TextLibrary: """Class for handling text drawing. """ __metaclass__ = abc.ABCMeta @abc.abstractmethod def load(self, filename): pass @abc.abstractmethod def draw(self, fontid, text): pass @abc.abstractmethod def dimensions(self, fontid, text): pass @abc.abstractmethod def position(self, fontid, x, y, z): pass @abc.abstractmethod def size(self, fontid, size, dpi): pass

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ff9adcf1892a4996060543246a43e6eebbade856

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Python

pymaster/workspaces.py

DanielLenz/NaMaster

fb329b70e7a2f4cea5411abf80122746afed27f2

[ "BSD-3-Clause" ]

null

pymaster/workspaces.py

DanielLenz/NaMaster

fb329b70e7a2f4cea5411abf80122746afed27f2

[ "BSD-3-Clause" ]

null

pymaster/workspaces.py

DanielLenz/NaMaster

fb329b70e7a2f4cea5411abf80122746afed27f2

[ "BSD-3-Clause" ]

null

from pymaster import nmtlib as lib import numpy as np class NmtWorkspace(object): """ NmtWorkspace objects are used to compute and store the coupling matrix associated with an incomplete sky coverage, and used in the MASTER algorithm. When initialized, this object is practically empty. The information describing the coupling matrix must be computed or read from a file afterwards. """ def __init__(self): self.wsp = None def __del__(self): if self.wsp is not None: lib.workspace_free(self.wsp) self.wsp = None def read_from(self, fname): """ Reads the contents of an NmtWorkspace object from a file (encoded using an internal binary format). :param str fname: input file name """ if self.wsp is not None: lib.workspace_free(self.wsp) self.wsp = None self.wsp = lib.read_workspace(fname) def compute_coupling_matrix(self, fl1, fl2, bins, is_teb=False): """ Computes coupling matrix associated with the cross-power spectrum of two NmtFields and an NmtBin binning scheme. Note that the mode coupling matrix will only contain ells up to the maximum multipole included in the NmtBin bandpowers. :param NmtField fl1,fl2: fields to correlate :param NmtBin bin: binning scheme :param boolean is_teb: if true, all mode-coupling matrices (0-0,0-2,2-2) will be computed at the same time. In this case, fl1 must be a spin-0 field and fl1 must be spin-2. """ if self.wsp is not None: lib.workspace_free(self.wsp) self.wsp = None self.wsp = lib.comp_coupling_matrix(fl1.fl, fl2.fl, bins.bin, int(is_teb)) def write_to(self, fname): """ Writes the contents of an NmtWorkspace object to a file (encoded using an internal binary format). :param str fname: output file name """ if self.wsp is None: raise RuntimeError("Must initialize workspace before writing") lib.write_workspace(self.wsp, fname) def get_coupling_matrix(self) : """ Returns the currently stored mode-coupling matrix. :return: mode-coupling matrix. The matrix will have shape `[nrows,nrows]`, with `nrows = n_cls * n_ells`, where `n_cls` is the number of power spectra (1, 2 or 4 for spin0-0, spin0-2 and spin2-2 correlations) and `n_ells = lmax + 1` (normally `lmax = 3 * nside - 1`). The assumed ordering of power spectra is such that the `l`-th element of the `i`-th power spectrum be stored with index `l * n_cls + i`. """ if self.wsp is None: raise RuntimeError("Must initialize workspace before getting a MCM") nrows=(self.wsp.lmax+1)*self.wsp.ncls return lib.get_mcm(self.wsp,nrows*nrows).reshape([nrows,nrows]) def update_coupling_matrix(self,new_matrix) : """ Updates the stored mode-coupling matrix. The new matrix (`new_matrix`) must have shape `[nrows,nrows]`, with `nrows = n_cls * n_ells`, where `n_cls` is the number of power spectra (1, 2 or 4 for spin0-0, spin0-2 and spin2-2 correlations) and `n_ells = lmax + 1` (normally `lmax = 3 * nside - 1`). The assumed ordering of power spectra is such that the `l`-th element of the `i`-th power spectrum be stored with index `l * n_cls + i`. :param new_matrix: matrix that will replace the mode-coupling matrix. """ if self.wsp is None: raise RuntimeError("Must initialize workspace before updating MCM") if len(new_matrix)!=(self.wsp.lmax+1)*self.wsp.ncls : raise ValueError("Input matrix has an inconsistent size") lib.update_mcm(self.wsp,len(new_matrix),new_matrix.flatten()) def couple_cell(self, cl_in): """ Convolves a set of input power spectra with a coupling matrix (see Eq. 6 of the C API documentation). :param cl_in: set of input power spectra. The number of power spectra must correspond to the spins of the two fields that this NmtWorkspace object was initialized with (i.e. 1 for two spin-0 fields, 2 for one spin-0 and one spin-2 field and 4 for two spin-2 fields). :return: coupled power spectrum """ if (len(cl_in) != self.wsp.ncls) or (len(cl_in[0]) < self.wsp.lmax + 1): raise ValueError("Input power spectrum has wrong shape") cl1d = lib.couple_cell_py(self.wsp, cl_in, self.wsp.ncls * (self.wsp.lmax + 1)) clout = np.reshape(cl1d, [self.wsp.ncls, self.wsp.lmax + 1]) return clout def decouple_cell(self, cl_in, cl_bias=None, cl_noise=None): """ Decouples a set of pseudo-Cl power spectra into a set of bandpowers by inverting the binned coupling matrix (se Eq. 4 of the C API documentation). :param cl_in: set of input power spectra. The number of power spectra must correspond to the spins of the two fields that this NmtWorkspace object was initialized with (i.e. 1 for two spin-0 fields, 2 for one spin-0 and one spin-2 field, 4 for two spin-2 fields and 7 if this NmtWorkspace was created using `is_teb=True`). :param cl_bias: bias to the power spectrum associated to contaminant residuals (optional). This can be computed through :func:`pymaster.deprojection_bias`. :param cl_noise: noise bias (i.e. angular power spectrum of masked noise realizations). :return: set of decoupled bandpowers """ if (len(cl_in) != self.wsp.ncls) or (len(cl_in[0]) < self.wsp.lmax + 1): raise ValueError("Input power spectrum has wrong shape") if cl_bias is not None: if (len(cl_bias) != self.wsp.ncls) or (len(cl_bias[0]) < self.wsp.lmax + 1): raise ValueError("Input bias power spectrum has wrong shape") clb = cl_bias.copy() else: clb = np.zeros_like(cl_in) if cl_noise is not None: if (len(cl_noise) != self.wsp.ncls) or ( len(cl_noise[0]) < self.wsp.lmax + 1 ): raise ValueError("Input noise power spectrum has wrong shape") cln = cl_noise.copy() else: cln = np.zeros_like(cl_in) cl1d = lib.decouple_cell_py( self.wsp, cl_in, cln, clb, self.wsp.ncls * self.wsp.bin.n_bands ) clout = np.reshape(cl1d, [self.wsp.ncls, self.wsp.bin.n_bands]) return clout class NmtWorkspaceFlat(object): """ NmtWorkspaceFlat objects are used to compute and store the coupling matrix associated with an incomplete sky coverage, and used in the flat-sky version of the MASTER algorithm. When initialized, this object is practically empty. The information describing the coupling matrix must be computed or read from a file afterwards. """ def __init__(self): self.wsp = None def __del__(self): if self.wsp is not None: lib.workspace_flat_free(self.wsp) self.wsp = None def read_from(self, fname): """ Reads the contents of an NmtWorkspaceFlat object from a file (encoded using an internal binary format). :param str fname: input file name """ if self.wsp is not None: lib.workspace_flat_free(self.wsp) self.wsp = None self.wsp = lib.read_workspace_flat(fname) def compute_coupling_matrix( self, fl1, fl2, bins, ell_cut_x=[1., -1.], ell_cut_y=[1., -1.], is_teb=False ): """ Computes coupling matrix associated with the cross-power spectrum of two NmtFieldFlats and an NmtBinFlat binning scheme. :param NmtFieldFlat fl1,fl2: fields to correlate :param NmtBinFlat bin: binning scheme :param float(2) ell_cut_x: remove all modes with ell_x in the interval [ell_cut_x[0],ell_cut_x[1]] from the calculation. :param float(2) ell_cut_y: remove all modes with ell_y in the interval [ell_cut_y[0],ell_cut_y[1]] from the calculation. :param boolean is_teb: if true, all mode-coupling matrices (0-0,0-2,2-2) will be computed at the same time. In this case, fl1 must be a spin-0 field and fl1 must be spin-2. """ if self.wsp is not None: lib.workspace_flat_free(self.wsp) self.wsp = None self.wsp = lib.comp_coupling_matrix_flat( fl1.fl, fl2.fl, bins.bin, ell_cut_x[0], ell_cut_x[1], ell_cut_y[0], ell_cut_y[1], int(is_teb), ) def write_to(self, fname): """ Writes the contents of an NmtWorkspaceFlat object to a file (encoded using an internal binary format). :param str fname: output file name """ if self.wsp is None: raise RuntimeError("Must initialize workspace before writing") lib.write_workspace_flat(self.wsp, fname) def couple_cell(self, ells, cl_in): """ Convolves a set of input power spectra with a coupling matrix (see Eq. 6 of the C API documentation). :param ells: list of multipoles on which the input power spectra are defined :param cl_in: set of input power spectra. The number of power spectra must correspond to the spins of the two fields that this NmtWorkspaceFlat object was initialized with (i.e. 1 for two spin-0 fields, 2 for one spin-0 and one spin-2 field and 4 for two spin-2 fields). :return: coupled power spectrum. The coupled power spectra are returned at the multipoles returned by calling :func:`get_ell_sampling` for any of the fields that were used to generate the workspace. """ if (len(cl_in) != self.wsp.ncls) or (len(cl_in[0]) != len(ells)): raise ValueError("Input power spectrum has wrong shape") cl1d = lib.couple_cell_py_flat( self.wsp, ells, cl_in, self.wsp.ncls * self.wsp.bin.n_bands ) clout = np.reshape(cl1d, [self.wsp.ncls, self.wsp.bin.n_bands]) return clout def decouple_cell(self, cl_in, cl_bias=None, cl_noise=None): """ Decouples a set of pseudo-Cl power spectra into a set of bandpowers by inverting the binned coupling matrix (se Eq. 4 of the C API documentation). :param cl_in: set of input power spectra. The number of power spectra must correspond to the spins of the two fields that this NmtWorkspaceFlat object was initialized with (i.e. 1 for two spin-0 fields, 2 for one spin-0 and one spin-2 field, 4 for two spin-2 fields and 7 if this NmtWorkspaceFlat was created using `is_teb=True`). These power spectra must be defined at the multipoles returned by :func:`get_ell_sampling` for any of the fields used to create the workspace. :param cl_bias: bias to the power spectrum associated to contaminant residuals (optional). This can be computed through :func:`pymaster.deprojection_bias_flat`. :param cl_noise: noise bias (i.e. angular power spectrum of masked noise realizations). :return: set of decoupled bandpowers """ if (len(cl_in) != self.wsp.ncls) or (len(cl_in[0]) != self.wsp.bin.n_bands): raise ValueError("Input power spectrum has wrong shape") if cl_bias is not None: if (len(cl_bias) != self.wsp.ncls) or ( len(cl_bias[0]) != self.wsp.bin.n_bands ): raise ValueError("Input bias power spectrum has wrong shape") clb = cl_bias.copy() else: clb = np.zeros_like(cl_in) if cl_noise is not None: if (len(cl_noise) != self.wsp.ncls) or ( len(cl_noise[0]) != self.wsp.bin.n_bands ): raise ValueError("Input noise power spectrum has wrong shape") cln = cl_noise.copy() else: cln = np.zeros_like(cl_in) cl1d = lib.decouple_cell_py_flat( self.wsp, cl_in, cln, clb, self.wsp.ncls * self.wsp.bin.n_bands ) clout = np.reshape(cl1d, [self.wsp.ncls, self.wsp.bin.n_bands]) return clout def deprojection_bias(f1, f2, cls_guess): """ Computes the bias associated to contaminant removal to the cross-pseudo-Cl of two fields. :param NmtField f1,f2: fields to correlate :param cls_guess: set of power spectra corresponding to a best-guess of the true power spectra of f1 and f2. :return: deprojection bias power spectra. """ if len(cls_guess) != f1.fl.nmaps * f2.fl.nmaps: raise ValueError("Proposal Cell doesn't match number of maps") if len(cls_guess[0]) != f1.fl.lmax + 1: raise ValueError("Proposal Cell doesn't match map resolution") cl1d = lib.comp_deproj_bias( f1.fl, f2.fl, cls_guess, len(cls_guess) * len(cls_guess[0]) ) cl2d = np.reshape(cl1d, [len(cls_guess), len(cls_guess[0])]) return cl2d def uncorr_noise_deprojection_bias(f1, map_var): """ Computes the bias associated to contaminant removal in the presence of uncorrelated inhomogeneous noise to the auto-pseudo-Cl of a given field f1. :param NmtField f1: fields to correlate :param map_cls_guess: array containing a HEALPix map corresponding to the local noise variance (in one sterad). :return: deprojection bias power spectra. """ ncls = f1.fl.nmaps * f1.fl.nmaps nells = f1.fl.lmax + 1 if len(map_var) != f1.fl.npix: raise ValueError("Variance map doesn't match map resolution") cl1d = lib.comp_uncorr_noise_deproj_bias(f1.fl, map_var, ncls * nells) cl2d = np.reshape(cl1d, [ncls, nells]) return cl2d def deprojection_bias_flat( f1, f2, b, ells, cls_guess, ell_cut_x=[1., -1.], ell_cut_y=[1., -1.] ): """ Computes the bias associated to contaminant removal to the cross-pseudo-Cl of two flat-sky fields. The returned power spectrum is defined at the multipoles returned by the method :func:`get_ell_sampling` of either f1 or f2. :param NmtFieldFlat f1,f2: fields to correlate :param NmtBinFlat b: binning scheme defining output bandpower :param ells: list of multipoles on which the proposal power spectra are defined :param cls_guess: set of power spectra corresponding to a best-guess of the true power spectra of f1 and f2. :param float(2) ell_cut_x: remove all modes with ell_x in the interval [ell_cut_x[0],ell_cut_x[1]] from the calculation. :param float(2) ell_cut_y: remove all modes with ell_y in the interval [ell_cut_y[0],ell_cut_y[1]] from the calculation. :return: deprojection bias power spectra. """ if len(cls_guess) != f1.fl.nmaps * f2.fl.nmaps: raise ValueError("Proposal Cell doesn't match number of maps") if len(cls_guess[0]) != len(ells): raise ValueError("cls_guess and ells must have the same length") cl1d = lib.comp_deproj_bias_flat( f1.fl, f2.fl, b.bin, ell_cut_x[0], ell_cut_x[1], ell_cut_y[0], ell_cut_y[1], ells, cls_guess, f1.fl.nmaps * f2.fl.nmaps * b.bin.n_bands, ) cl2d = np.reshape(cl1d, [f1.fl.nmaps * f2.fl.nmaps, b.bin.n_bands]) return cl2d def compute_coupled_cell(f1, f2): """ Computes the full-sky angular power spectra of two masked fields (f1 and f2) without aiming to deconvolve the mode-coupling matrix. Effectively, this is equivalent to calling the usual HEALPix anafast routine on the masked and contaminant-cleaned maps. :param NmtField f1,f2: fields to correlate :return: array of coupled power spectra """ if f1.fl.nside != f2.fl.nside: raise ValueError("Fields must have same resolution") cl1d = lib.comp_pspec_coupled( f1.fl, f2.fl, f1.fl.nmaps * f2.fl.nmaps * (f1.fl.lmax + 1) ) clout = np.reshape(cl1d, [f1.fl.nmaps * f2.fl.nmaps, f1.fl.lmax + 1]) return clout def compute_coupled_cell_flat(f1, f2, b, ell_cut_x=[1., -1.], ell_cut_y=[1., -1.]): """ Computes the angular power spectra of two masked flat-sky fields (f1 and f2) without aiming to deconvolve the mode-coupling matrix. Effectively, this is equivalent to computing the map FFTs and averaging over rings of wavenumber. The returned power spectrum is defined at the multipoles returned by the method :func:`get_ell_sampling` of either f1 or f2. :param NmtFieldFlat f1,f2: fields to correlate :param NmtBinFlat b: binning scheme defining output bandpower :param float(2) ell_cut_x: remove all modes with ell_x in the interval [ell_cut_x[0],ell_cut_x[1]] from the calculation. :param float(2) ell_cut_y: remove all modes with ell_y in the interval [ell_cut_y[0],ell_cut_y[1]] from the calculation. :return: array of coupled power spectra """ if (f1.nx != f2.nx) or (f1.ny != f2.ny): raise ValueError("Fields must have same resolution") cl1d = lib.comp_pspec_coupled_flat( f1.fl, f2.fl, b.bin, f1.fl.nmaps * f2.fl.nmaps * b.bin.n_bands, ell_cut_x[0], ell_cut_x[1], ell_cut_y[0], ell_cut_y[1], ) clout = np.reshape(cl1d, [f1.fl.nmaps * f2.fl.nmaps, b.bin.n_bands]) return clout def compute_full_master(f1, f2, b, cl_noise=None, cl_guess=None, workspace=None): """ Computes the full MASTER estimate of the power spectrum of two fields (f1 and f2). This is equivalent to successively calling: - :func:`pymaster.NmtWorkspace.compute_coupling_matrix` - :func:`pymaster.deprojection_bias` - :func:`pymaster.compute_coupled_cell` - :func:`pymaster.NmtWorkspace.decouple_cell` :param NmtField f1,f2: fields to correlate :param NmtBin b: binning scheme defining output bandpower :param cl_noise: noise bias (i.e. angular power spectrum of masked noise realizations) (optional). :param cl_guess: set of power spectra corresponding to a best-guess of the true power spectra of f1 and f2. Needed only to compute the contaminant cleaning bias (optional). :param NmtWorkspace workspace: object containing the mode-coupling matrix associated with an incomplete sky coverage. If provided, the function will skip the computation of the mode-coupling matrix and use the information encoded in this object. :return: set of decoupled bandpowers """ if f1.fl.nside != f2.fl.nside: raise ValueError("Fields must have same resolution") if cl_noise is not None: if len(cl_noise) != f1.fl.nmaps * f2.fl.nmaps: raise ValueError("Wrong length for noise power spectrum") cln = cl_noise.copy() else: cln = np.zeros([f1.fl.nmaps * f2.fl.nmaps, 3 * f1.fl.nside]) if cl_guess is not None: if len(cl_guess) != f1.fl.nmaps * f2.fl.nmaps: raise ValueError("Wrong length for guess power spectrum") clg = cl_guess.copy() else: clg = np.zeros([f1.fl.nmaps * f2.fl.nmaps, 3 * f1.fl.nside]) if workspace is None: cl1d = lib.comp_pspec( f1.fl, f2.fl, b.bin, None, cln, clg, len(cln) * b.bin.n_bands ) else: cl1d = lib.comp_pspec( f1.fl, f2.fl, b.bin, workspace.wsp, cln, clg, len(cln) * b.bin.n_bands ) clout = np.reshape(cl1d, [len(cln), b.bin.n_bands]) return clout def compute_full_master_flat( f1, f2, b, cl_noise=None, cl_guess=None, ells_guess=None, workspace=None, ell_cut_x=[1., -1.], ell_cut_y=[1., -1.], ): """ Computes the full MASTER estimate of the power spectrum of two flat-sky fields (f1 and f2). This is equivalent to successively calling: - :func:`pymaster.NmtWorkspaceFlat.compute_coupling_matrix` - :func:`pymaster.deprojection_bias_flat` - :func:`pymaster.compute_coupled_cell_flat` - :func:`pymaster.NmtWorkspaceFlat.decouple_cell` :param NmtFieldFlat f1,f2: fields to correlate :param NmtBinFlat b: binning scheme defining output bandpower :param cl_noise: noise bias (i.e. angular power spectrum of masked noise realizations) (optional). This power spectrum should correspond to the bandpowers defined by b. :param cl_guess: set of power spectra corresponding to a best-guess of the true power spectra of f1 and f2. Needed only to compute the contaminant cleaning bias (optional). :param ells_guess: multipoles at which cl_guess is defined. :param NmtWorkspaceFlat workspace: object containing the mode-coupling matrix associated with an incomplete sky coverage. If provided, the function will skip the computation of the mode-coupling matrix and use the information encoded in this object. :param int nell_rebin: number of sub-intervals into which the base k-intervals will be sub-sampled to compute the coupling matrix :param float(2) ell_cut_x: remove all modes with ell_x in the interval [ell_cut_x[0],ell_cut_x[1]] from the calculation. :param float(2) ell_cut_y: remove all modes with ell_y in the interval [ell_cut_y[0],ell_cut_y[1]] from the calculation. :return: set of decoupled bandpowers """ if (f1.nx != f2.nx) or (f1.ny != f2.ny): raise ValueError("Fields must have same resolution") if cl_noise is not None: if (len(cl_noise) != f1.fl.nmaps * f2.fl.nmaps) or ( len(cl_noise[0]) != b.bin.n_bands ): raise ValueError("Wrong length for noise power spectrum") cln = cl_noise.copy() else: cln = np.zeros([f1.fl.nmaps * f2.fl.nmaps, b.bin.n_bands]) if cl_guess is not None: if ells_guess is None: raise ValueError("Must provide ell-values for cl_guess") if (len(cl_guess) != f1.fl.nmaps * f2.fl.nmaps) or ( len(cl_guess[0]) != len(ells_guess) ): raise ValueError("Wrong length for guess power spectrum") lf = ells_guess.copy() clg = cl_guess.copy() else: lf = b.get_effective_ells() clg = np.zeros([f1.fl.nmaps * f2.fl.nmaps, b.bin.n_bands]) if workspace is None: cl1d = lib.comp_pspec_flat( f1.fl, f2.fl, b.bin, None, cln, lf, clg, len(cln) * b.bin.n_bands, ell_cut_x[0], ell_cut_x[1], ell_cut_y[0], ell_cut_y[1], ) else: cl1d = lib.comp_pspec_flat( f1.fl, f2.fl, b.bin, workspace.wsp, cln, lf, clg, len(cln) * b.bin.n_bands, ell_cut_x[0], ell_cut_x[1], ell_cut_y[0], ell_cut_y[1], ) clout = np.reshape(cl1d, [len(cln), b.bin.n_bands]) return clout

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null

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ffa83f6beb945dc27d951d3f1d8f5e5ab3699c7d

18,476

py

Python

test/test_files/pylops/pytests/test_basicoperators.py

SoftwareUnderstanding/inspect4py

9c4d7252535082ad938b26baf281d93f3a27285e

[ "BSD-3-Clause" ]

2

2022-02-15T20:30:57.000Z

2022-03-17T00:50:37.000Z

test/test_files/pylops/pytests/test_basicoperators.py

SoftwareUnderstanding/code_inspector

a820b5a7bb18f5df9c3e79346108d8280b20c39a

[ "BSD-3-Clause" ]

101

2021-06-09T14:19:59.000Z

2022-01-24T13:24:39.000Z

test/test_files/pylops/pytests/test_basicoperators.py

SoftwareUnderstanding/inspect4py

9c4d7252535082ad938b26baf281d93f3a27285e

[ "BSD-3-Clause" ]

1

2021-09-22T06:59:32.000Z

import pytest import numpy as np from numpy.testing import assert_array_equal, assert_array_almost_equal from scipy.sparse import rand from scipy.sparse.linalg import lsqr from pylops.utils import dottest from pylops.basicoperators import Regression, LinearRegression, MatrixMult, \ Identity, Zero, Flip, Symmetrize, Roll, Sum, Real, Imag, Conj par1 = {'ny': 11, 'nx': 11, 'imag': 0, 'dtype':'float64'} # square real par2 = {'ny': 21, 'nx': 11, 'imag': 0, 'dtype':'float64'} # overdetermined real par1j = {'ny': 11, 'nx': 11, 'imag': 1j, 'dtype':'complex128'} # square complex par2j = {'ny': 21, 'nx': 11, 'imag': 1j, 'dtype':'complex128'} # overdetermined complex par3 = {'ny': 11, 'nx': 21, 'imag': 0, 'dtype':'float64'} # underdetermined real np.random.seed(10) @pytest.mark.parametrize("par", [(par1), (par2)]) def test_Regression(par): """Dot-test, inversion and apply for Regression operator """ np.random.seed(10) order = 4 t = np.arange(par['ny'], dtype=np.float32) LRop = Regression(t, order=order, dtype=par['dtype']) assert dottest(LRop, par['ny'], order+1) x = np.array([1., 2., 0., 3., -1.], dtype=np.float32) xlsqr = lsqr(LRop, LRop*x, damp=1e-10, iter_lim=300, show=0)[0] assert_array_almost_equal(x, xlsqr, decimal=3) y = LRop * x y1 = LRop.apply(t, x) assert_array_almost_equal(y, y1, decimal=3) @pytest.mark.parametrize("par", [(par1), (par2)]) def test_LinearRegression(par): """Dot-test and inversion for LinearRegression operator """ np.random.seed(10) t = np.arange(par['ny'], dtype=np.float32) LRop = LinearRegression(t, dtype=par['dtype']) assert dottest(LRop, par['ny'], 2) x = np.array([1., 2.], dtype=np.float32) xlsqr = lsqr(LRop, LRop*x, damp=1e-10, iter_lim=300, show=0)[0] assert_array_almost_equal(x, xlsqr, decimal=3) y = LRop * x y1 = LRop.apply(t, x) assert_array_almost_equal(y, y1, decimal=3) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j)]) def test_MatrixMult(par): """Dot-test and inversion for MatrixMult operator """ np.random.seed(10) G = np.random.normal(0, 10, (par['ny'], par['nx'])).astype('float32') + \ par['imag']*np.random.normal(0, 10, (par['ny'], par['nx'])).astype('float32') Gop = MatrixMult(G, dtype=par['dtype']) assert dottest(Gop, par['ny'], par['nx'], complexflag=0 if par['imag'] == 0 else 3) x = np.ones(par['nx']) + par['imag']*np.ones(par['nx']) xlsqr = lsqr(Gop, Gop*x, damp=1e-20, iter_lim=300, show=0)[0] assert_array_almost_equal(x, xlsqr, decimal=4) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j)]) def test_MatrixMult_sparse(par): """Dot-test and inversion for test_MatrixMult operator using sparse matrix """ np.random.seed(10) G = rand(par['ny'], par['nx'], density=0.75).astype('float32') + \ par['imag'] * rand(par['ny'], par['nx'], density=0.75).astype('float32') Gop = MatrixMult(G, dtype=par['dtype']) assert dottest(Gop, par['ny'], par['nx'], complexflag=0 if par['imag'] == 1 else 3) x = np.ones(par['nx']) + par['imag'] * np.ones(par['nx']) xlsqr = lsqr(Gop, Gop * x, damp=1e-20, iter_lim=300, show=0)[0] assert_array_almost_equal(x, xlsqr, decimal=4) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j)]) def test_MatrixMult_repeated(par): """Dot-test and inversion for test_MatrixMult operator repeated along another dimension """ np.random.seed(10) G = np.random.normal(0, 10, (par['ny'], par['nx'])).astype('float32') + \ par['imag'] * np.random.normal(0, 10, (par['ny'], par['nx'])).astype('float32') Gop = MatrixMult(G, dims=5, dtype=par['dtype']) assert dottest(Gop, par['ny']*5, par['nx']*5, complexflag=0 if par['imag'] == 1 else 3) x = (np.ones((par['nx'], 5)) + par['imag'] * np.ones((par['nx'], 5))).flatten() xlsqr = lsqr(Gop, Gop*x, damp=1e-20, iter_lim=300, show=0)[0] assert_array_almost_equal(x, xlsqr, decimal=4) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Identity_inplace(par): """Dot-test, forward and adjoint for Identity operator """ np.random.seed(10) Iop = Identity(par['ny'], par['nx'], dtype=par['dtype'], inplace=True) assert dottest(Iop, par['ny'], par['nx'], complexflag=0 if par['imag'] == 0 else 3) x = np.ones(par['nx']) + par['imag'] * np.ones(par['nx']) y = Iop*x x1 = Iop.H*y assert_array_almost_equal(x[:min(par['ny'], par['nx'])], y[:min(par['ny'], par['nx'])], decimal=4) assert_array_almost_equal(x[:min(par['ny'], par['nx'])], x1[:min(par['ny'], par['nx'])], decimal=4) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Identity_noinplace(par): """Dot-test, forward and adjoint for Identity operator (not in place) """ np.random.seed(10) Iop = Identity(par['ny'], par['nx'], dtype=par['dtype'], inplace=False) assert dottest(Iop, par['ny'], par['nx'], complexflag=0 if par['imag'] == 0 else 3) x = np.ones(par['nx']) + par['imag'] * np.ones(par['nx']) y = Iop*x x1 = Iop.H*y assert_array_almost_equal(x[:min(par['ny'], par['nx'])], y[:min(par['ny'], par['nx'])], decimal=4) assert_array_almost_equal(x[:min(par['ny'], par['nx'])], x1[:min(par['ny'], par['nx'])], decimal=4) # change value in x and check it doesn't change in y x[0] = 10 assert x[0] != y[0] @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Zero(par): """Dot-test, forward and adjoint for Zero operator """ np.random.seed(10) Zop = Zero(par['ny'], par['nx'], dtype=par['dtype']) assert dottest(Zop, par['ny'], par['nx']) x = np.ones(par['nx']) + par['imag']*np.ones(par['nx']) y = Zop * x x1 = Zop.H*y assert_array_almost_equal(y, np.zeros(par['ny'])) assert_array_almost_equal(x1, np.zeros(par['nx'])) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j)]) def test_Flip1D(par): """Dot-test, forward and adjoint for Flip operator on 1d signal """ np.random.seed(10) x = np.arange(par['ny']) + par['imag'] * np.arange(par['ny']) Fop = Flip(par['ny'], dtype=par['dtype']) assert dottest(Fop, par['ny'], par['ny']) y = Fop * x xadj = Fop.H * y assert_array_equal(x, xadj) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j)]) def test_Flip2D(par): """Dot-test, forward and adjoint for Flip operator on 2d signal """ np.random.seed(10) x = {} x['0'] = np.outer(np.arange(par['ny']), np.ones(par['nx'])) + \ par['imag'] * np.outer(np.arange(par['ny']), np.ones(par['nx'])) x['1'] = np.outer(np.ones(par['ny']), np.arange(par['nx'])) + \ par['imag'] * np.outer(np.ones(par['ny']), np.arange(par['nx'])) for dir in [0, 1]: Fop = Flip(par['ny']*par['nx'], dims=(par['ny'], par['nx']), dir=dir, dtype=par['dtype']) assert dottest(Fop, par['ny']*par['nx'], par['ny']*par['nx']) y = Fop * x[str(dir)].flatten() xadj = Fop.H * y.flatten() xadj = xadj.reshape(par['ny'], par['nx']) assert_array_equal(x[str(dir)], xadj) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j)]) def test_Flip3D(par): """Dot-test, forward and adjoint for Flip operator on 3d signal """ np.random.seed(10) x = {} x['0'] = np.outer(np.arange(par['ny']), np.ones(par['nx']))[:, :, np.newaxis] * \ np.ones(par['nx']) + \ par['imag'] * np.outer(np.arange(par['ny']), np.ones(par['nx']))[:, :, np.newaxis] * \ np.ones(par['nx']) x['1'] = np.outer(np.ones(par['ny']), np.arange(par['nx']))[:, :, np.newaxis] * \ np.ones(par['nx']) + \ par['imag'] * np.outer(np.ones(par['ny']), np.arange(par['nx']))[:, :, np.newaxis] * \ np.ones(par['nx']) x['2'] = np.outer(np.ones(par['ny']), np.ones(par['nx']))[:, :, np.newaxis] * \ np.arange(par['nx']) + \ par['imag'] * np.outer(np.ones(par['ny']), np.ones(par['nx']))[:, :, np.newaxis] * \ np.arange(par['nx']) for dir in [0, 1, 2]: Fop = Flip(par['ny']*par['nx']*par['nx'], dims=(par['ny'], par['nx'], par['nx']), dir=dir, dtype=par['dtype']) assert dottest(Fop, par['ny']*par['nx']*par['nx'], par['ny']*par['nx']*par['nx']) y = Fop * x[str(dir)].flatten() xadj = Fop.H * y.flatten() xadj = xadj.reshape(par['ny'], par['nx'], par['nx']) assert_array_equal(x[str(dir)], xadj) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Symmetrize1D(par): """Dot-test, forward and inverse for Symmetrize operator on 1d signal """ np.random.seed(10) x = np.arange(par['ny']) + par['imag'] * np.arange(par['ny']) Sop = Symmetrize(par['ny'], dtype=par['dtype']) dottest(Sop, par['ny']*2-1, par['ny'], verb=True) y = Sop * x xinv = Sop / y assert_array_almost_equal(x, xinv, decimal=3) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Symmetrize2D(par): """Dot-test, forward and inverse for Symmetrize operator on 2d signal """ np.random.seed(10) x = {} x['0'] = np.outer(np.arange(par['ny']), np.ones(par['nx'])) + \ par['imag'] * np.outer(np.arange(par['ny']), np.ones(par['nx'])) x['1'] = np.outer(np.ones(par['ny']), np.arange(par['nx'])) + \ par['imag'] * np.outer(np.ones(par['ny']), np.arange(par['nx'])) for dir in [0, 1]: Sop = Symmetrize(par['ny']*par['nx'], dims=(par['ny'], par['nx']), dir=dir, dtype=par['dtype']) y = Sop * x[str(dir)].flatten() assert dottest(Sop, y.size, par['ny']*par['nx']) xinv = Sop / y assert_array_almost_equal(x[str(dir)].ravel(), xinv, decimal=3) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Symmetrize3D(par): """Dot-test, forward and adjoint for Symmetrize operator on 3d signal """ np.random.seed(10) x = {} x['0'] = np.outer(np.arange(par['ny']), np.ones(par['nx']))[:, :, np.newaxis] * \ np.ones(par['nx']) + \ par['imag'] * np.outer(np.arange(par['ny']), np.ones(par['nx']))[:, :, np.newaxis] * \ np.ones(par['nx']) x['1'] = np.outer(np.ones(par['ny']), np.arange(par['nx']))[:, :, np.newaxis] * \ np.ones(par['nx']) + \ par['imag'] * np.outer(np.ones(par['ny']), np.arange(par['nx']))[:, :, np.newaxis] * \ np.ones(par['nx']) x['2'] = np.outer(np.ones(par['ny']), np.ones(par['nx']))[:, :, np.newaxis] * \ np.arange(par['nx']) + \ par['imag'] * np.outer(np.ones(par['ny']), np.ones(par['nx']))[:, :, np.newaxis] * \ np.arange(par['nx']) for dir in [0, 1, 2]: Sop = Symmetrize(par['ny']*par['nx']*par['nx'], dims=(par['ny'], par['nx'], par['nx']), dir=dir, dtype=par['dtype']) y = Sop * x[str(dir)].flatten() assert dottest(Sop, y.size, par['ny']*par['nx']*par['nx']) xinv = Sop / y assert_array_almost_equal(x[str(dir)].ravel(), xinv, decimal=3) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Roll1D(par): """Dot-test, forward and adjoint for Roll operator on 1d signal """ np.random.seed(10) x = np.arange(par['ny']) + par['imag'] * np.arange(par['ny']) Rop = Roll(par['ny'], shift=2, dtype=par['dtype']) assert dottest(Rop, par['ny'], par['ny']) y = Rop * x xadj = Rop.H * y assert_array_almost_equal(x, xadj, decimal=3) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Roll2D(par): """Dot-test, forward and inverse for Roll operator on 2d signal """ np.random.seed(10) x = {} x['0'] = np.outer(np.arange(par['ny']), np.ones(par['nx'])) + \ par['imag'] * np.outer(np.arange(par['ny']), np.ones(par['nx'])) x['1'] = np.outer(np.ones(par['ny']), np.arange(par['nx'])) + \ par['imag'] * np.outer(np.ones(par['ny']), np.arange(par['nx'])) for dir in [0, 1]: Rop = Roll(par['ny'] * par['nx'], dims=(par['ny'], par['nx']), dir=dir, shift=-2, dtype=par['dtype']) y = Rop * x[str(dir)].flatten() assert dottest(Rop, par['ny'] * par['nx'], par['ny'] * par['nx']) xadj = Rop.H * y assert_array_almost_equal(x[str(dir)].ravel(), xadj, decimal=3) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Roll3D(par): """Dot-test, forward and adjoint for Roll operator on 3d signal """ np.random.seed(10) x = {} x['0'] = np.outer(np.arange(par['ny']), np.ones(par['nx']))[:, :, np.newaxis] * \ np.ones(par['nx']) + \ par['imag'] * np.outer(np.arange(par['ny']), np.ones(par['nx']))[:, :, np.newaxis] * \ np.ones(par['nx']) x['1'] = np.outer(np.ones(par['ny']), np.arange(par['nx']))[:, :, np.newaxis] * \ np.ones(par['nx']) + \ par['imag'] * np.outer(np.ones(par['ny']), np.arange(par['nx']))[:, :, np.newaxis] * \ np.ones(par['nx']) x['2'] = np.outer(np.ones(par['ny']), np.ones(par['nx']))[:, :, np.newaxis] * \ np.arange(par['nx']) + \ par['imag'] * np.outer(np.ones(par['ny']), np.ones(par['nx']))[:, :, np.newaxis] * \ np.arange(par['nx']) for dir in [0, 1, 2]: Rop = Roll(par['ny'] * par['nx'] * par['nx'], dims=(par['ny'], par['nx'], par['nx']), dir=dir, shift=3, dtype=par['dtype']) y = Rop * x[str(dir)].flatten() assert dottest(Rop, par['ny'] * par['nx'] * par['nx'], par['ny'] * par['nx'] * par['nx']) xinv = Rop.H * y assert_array_almost_equal(x[str(dir)].ravel(), xinv, decimal=3) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Sum2D(par): """Dot-test for Sum operator on 2d signal """ for dir in [0, 1]: dim_d = [par['ny'], par['nx']] dim_d.pop(dir) Sop = Sum(dims=(par['ny'], par['nx']), dir=dir, dtype=par['dtype']) assert dottest(Sop, np.prod(dim_d), par['ny'] * par['nx']) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Sum3D(par): """Dot-test, forward and adjoint for Sum operator on 3d signal """ for dir in [0, 1, 2]: dim_d = [par['ny'], par['nx'], par['nx']] dim_d.pop(dir) Sop = Sum(dims=(par['ny'], par['nx'], par['nx']), dir=dir, dtype=par['dtype']) assert dottest(Sop, np.prod(dim_d), par['ny'] * par['nx'] * par['nx']) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Real(par): """Dot-test, forward and adjoint for Real operator """ Rop = Real(dims=(par['ny'], par['nx']), dtype=par['dtype']) if np.dtype(par['dtype']).kind == 'c': complexflag = 3 else: complexflag = 0 assert dottest(Rop, par['ny'] * par['nx'], par['ny'] * par['nx'], complexflag=complexflag) np.random.seed(10) x = (np.random.randn(par['nx'] * par['ny']) + par['imag'] * np.random.randn(par['nx'] * par['ny'])) y = Rop * x assert_array_equal(y, np.real(x)) y = (np.random.randn(par['nx'] * par['ny']) + par['imag'] * np.random.randn(par['nx'] * par['ny'])) x = Rop.H * y assert_array_equal(x, np.real(y) + 0j) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Imag(par): """Dot-test, forward and adjoint for Imag operator """ Iop = Imag(dims=(par['ny'], par['nx']), dtype=par['dtype']) if np.dtype(par['dtype']).kind == 'c': complexflag = 3 else: complexflag = 0 assert dottest(Iop, par['ny'] * par['nx'], par['ny'] * par['nx'], complexflag=complexflag) np.random.seed(10) x = (np.random.randn(par['nx'] * par['ny']) + par['imag'] * np.random.randn(par['nx'] * par['ny'])) y = Iop * x assert_array_equal(y, np.imag(x)) y = (np.random.randn(par['nx'] * par['ny']) + par['imag'] * np.random.randn(par['nx'] * par['ny'])) x = Iop.H * y if np.dtype(par['dtype']).kind == 'c': assert_array_equal(x, 0 + 1j*np.real(y)) else: assert_array_equal(x, 0) @pytest.mark.parametrize("par", [(par1), (par2), (par1j), (par2j), (par3)]) def test_Conj(par): """Dot-test, forward and adjoint for Conj operator """ Cop = Conj(dims=(par['ny'], par['nx']), dtype=par['dtype']) if np.dtype(par['dtype']).kind == 'c': complexflag = 3 else: complexflag = 0 assert dottest(Cop, par['ny'] * par['nx'], par['ny'] * par['nx'], complexflag=complexflag) np.random.seed(10) x = (np.random.randn(par['nx'] * par['ny']) + par['imag'] * np.random.randn(par['nx'] * par['ny'])) y = Cop * x xadj = Cop.H * y assert_array_equal(x, xadj) assert_array_equal(y, np.conj(x)) assert_array_equal(xadj, np.conj(y))

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0.078357

0.060144

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0

null

0

1

0

null

0

6

44758385578bbab28368552788bf221a41c93e8a

78

py

Python

pipy/__init__.py

rhsmits91/pipy

b38100203711fad715078a00c6074ea63af06893

[ "MIT" ]

null

pipy/__init__.py

rhsmits91/pipy

b38100203711fad715078a00c6074ea63af06893

[ "MIT" ]

null

pipy/__init__.py

rhsmits91/pipy

b38100203711fad715078a00c6074ea63af06893

[ "MIT" ]

null

from pipy import parameters, pipeline, widgets from pipy.tests import testing

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null

0

1

0

1

0

1

0

6

447a015c45215acc5db0abb350b8b9fabe099a59

144

py

Python

netmiko/zte/__init__.py

mtuska/netmiko

90ae69a7c251c13e483f7c52629dbbe4356e7a6d

[ "MIT" ]

2,833

2015-01-04T20:04:10.000Z

2022-03-31T13:03:17.000Z

netmiko/zte/__init__.py

MrPaulAR/netmiko

bc9700a803ccd89e29672dbe544368b946352aa0

[ "MIT" ]

2,137

2015-01-28T17:33:41.000Z

2022-03-31T18:41:21.000Z

netmiko/zte/__init__.py

georgesnow/netmiko

185f51ca5c24ea2977d6ca31db1ae263aa72cc12

[ "MIT" ]

1,367

2015-01-04T20:04:10.000Z

2022-03-31T19:13:28.000Z

from netmiko.zte.zte_zxros import ZteZxrosSSH from netmiko.zte.zte_zxros import ZteZxrosTelnet __all__ = ["ZteZxrosSSH", "ZteZxrosTelnet"]

28.8

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144

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0.118056

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1

0

null

0

1

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6

448cd44cbd1bcbcbcb31ec220b59e33bebf664dd

172

py

Python

tes.py

nucklehead/voxforge-kreyol

28171e96768bb62a8d6c7fc823fa5b1f4c5bb99e

[ "MIT" ]

null

tes.py

nucklehead/voxforge-kreyol

28171e96768bb62a8d6c7fc823fa5b1f4c5bb99e

[ "MIT" ]

null

tes.py

nucklehead/voxforge-kreyol

28171e96768bb62a8d6c7fc823fa5b1f4c5bb99e

[ "MIT" ]

null

import io from flask import Flask from stokaj_fichye.nextcloud.kliyan import stoke_fichye_a app = Flask(__name__) stoke_fichye_a(app, f'test.zip', io.StringIO('asdasd'))

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null

0

1

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1

0

6

922fe224ef86df55cb87b258115c9968b5610ff1

26

py

Python

New_World.py

sayaji/MyFirstRepo

356dfb89efaf1316314c9aa7c88f33fd82a9379f

[ "MIT" ]

null

New_World.py

sayaji/MyFirstRepo

356dfb89efaf1316314c9aa7c88f33fd82a9379f

[ "MIT" ]

null

New_World.py

sayaji/MyFirstRepo

356dfb89efaf1316314c9aa7c88f33fd82a9379f

[ "MIT" ]

null

print("Hello New World!!")

26

0.692308

4

26

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0

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1

26

0.75

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0.62963

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1

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null

0

1

0

1

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6

9249c5f8c4e60f618f8eeec811c203e922c23c37

913

py

Python

src/robobo/movement/simple_movements.py

josejorgers/bobo-script

02641c420ec3f7eca7031d789b3638bde0f7fd1d

[ "MIT" ]

1

2021-10-20T20:53:24.000Z

src/robobo/movement/simple_movements.py

josejorgers/bobo-script

02641c420ec3f7eca7031d789b3638bde0f7fd1d

[ "MIT" ]

null

src/robobo/movement/simple_movements.py

josejorgers/bobo-script

02641c420ec3f7eca7031d789b3638bde0f7fd1d

[ "MIT" ]

null

def move_forward(robot, speed, time=None): if time is None: robot.moveWheels(speed, speed) else: robot.moveWheelsByTime(speed, speed, time) def turn_right(robot, speed, time=None): if time is None: robot.moveWheels(-speed, speed) else: robot.moveWheelsByTime(-speed, speed, time) def turn_left(robot, speed, time=None): if time is None: robot.moveWheels(speed, -speed) else: robot.moveWheelsByTime(speed, -speed, time) def move_backward(robot, speed, time=None): if time is None: robot.moveWheels(-speed, -speed) else: robot.moveWheelsByTime(-speed, -speed, time) def diagonal_movement(robot, speed_left, speed_right, time=None): if time is None: robot.moveWheels(speed_left, speed_right) else: robot.moveWheelsByTime(speed_left, speed_right, time) def stop(robot): robot.stopMotors()

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927bba8eb2fbc7ff76015a39801feaa53c96b92f

248

py

Python

ummon/utils/__init__.py

matherm/ummon3

08476d21ce17cc95180525d48202a1690dfc8a08

[ "BSD-3-Clause" ]

1

2022-02-10T06:47:13.000Z

ummon/utils/__init__.py

matherm/ummon3

08476d21ce17cc95180525d48202a1690dfc8a08

[ "BSD-3-Clause" ]

null

ummon/utils/__init__.py

matherm/ummon3

08476d21ce17cc95180525d48202a1690dfc8a08

[ "BSD-3-Clause" ]

null

from .average_utils import * from .data_utils import * from .dataset_utils import * from .memory_utils import * from .model_utils import * from .stats_utils import * from .time_utils import * from .batch_utils import * from .FastDataLoader import *

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1

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1

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6

9293ac049518c688e6881850ed7804dba357975f

43

py

Python

lqr_mdp/__init__.py

vincentzhang/lqr_mdp

91d531bd534a8594a4175b8ae2f1db00228a42cb

[ "Apache-2.0" ]

2

2020-08-11T17:37:43.000Z

2021-08-25T05:28:25.000Z

lqr_mdp/__init__.py

vincentzhang/lqr_mdp

91d531bd534a8594a4175b8ae2f1db00228a42cb

[ "Apache-2.0" ]

null

lqr_mdp/__init__.py

vincentzhang/lqr_mdp

91d531bd534a8594a4175b8ae2f1db00228a42cb

[ "Apache-2.0" ]

null

from .lqr import MDP_LQR_Cont, MDP_LQR_Disc

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0

1

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null

0

1

0

1

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6

2bada45802c3784e1949085caf77208998cf2bf4

2,151

gyp

Python

jc3_api.gyp

xforce/jc3-api

01675239689761de5f805c0eaabbaf46289be9e8

[ "MIT" ]

null

jc3_api.gyp

xforce/jc3-api

01675239689761de5f805c0eaabbaf46289be9e8

[ "MIT" ]

1

2016-11-21T19:32:23.000Z

2016-12-10T00:26:49.000Z

jc3_api.gyp

xforce/jc3-api

01675239689761de5f805c0eaabbaf46289be9e8

[ "MIT" ]

null

{ 'targets': [ { 'target_name': 'jc3_api', 'type': 'static_library', 'dependencies' : [ 'deps/jc3_hooking/jc3_hooking.gyp:jc3_hooking', ], 'direct_dependent_settings': { 'include_dirs': ['.', 'deps/boost', 'deps/stl'], }, 'include_dirs': ['.', 'deps/boost', 'deps/stl'], 'sources': [ 'jc3/entities/character.h', 'jc3/entities/character.cpp', 'jc3/entities/damageable.h', 'jc3/entities/game_object.h', 'jc3/entities/game_object.cpp', 'jc3/entities/physics_game_object.h', 'jc3/entities/player.h', 'jc3/entities/vehicle.h', 'jc3/entities/pfx/pfx_breakable.h', 'jc3/entities/pfx/pfx_rigid_body.h', 'jc3/entities/pfx/pfx_vehicle.h', 'jc3/entities/pfx/pfx_game_object.h', 'jc3/entities/pfx/pfx_instance.h', 'jc3/entities/pfx/air_aerodynamics.h', 'jc3/entities/pfx/air_audio.h', 'jc3/entities/pfx/air_engine.h', 'jc3/entities/pfx/air_global.h', 'jc3/entities/pfx/boat_audio.h', 'jc3/entities/pfx/boat_buoyancy.h', 'jc3/entities/pfx/boat_engine.h', 'jc3/entities/pfx/boat_global.h', 'jc3/entities/pfx/boat_steering.h', 'jc3/entities/pfx/brakes.h', 'jc3/entities/pfx/buoyancy.h', 'jc3/entities/pfx/custom_land_global.h', 'jc3/entities/pfx/custom_velocity_damper.h', 'jc3/entities/pfx/driver_lean.h', 'jc3/entities/pfx/effect_attachments.h', 'jc3/entities/pfx/fins.h', 'jc3/entities/pfx/helicopter_model.h', 'jc3/entities/pfx/helicopter_steering.h', 'jc3/entities/pfx/land_aerodynamics.h', 'jc3/entities/pfx/land_audio.h', 'jc3/entities/pfx/land_global.h', 'jc3/entities/pfx/land_steering.h', 'jc3/entities/pfx/lights.h', 'jc3/entities/pfx/motorbike_steering.h', 'jc3/entities/pfx/motorbike_suspension.h', 'jc3/entities/pfx/propellers.h', 'jc3/entities/pfx/rotors.h', 'jc3/entities/pfx/rudders.h', 'jc3/entities/pfx/suspension.h', 'jc3/entities/pfx/transmission.h', 'jc3/entities/pfx/vehicle_misc.h', 'jc3/entities/pfx/water_interaction.h', 'jc3/spawn/spawn_system.h', 'jc3/spawn/spawn_system.cpp', 'jc3/ui/overlay_ui.h', 'jc3/ui/overlay_ui.cpp', ], }, ] }

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2bd89c33d4384c7283e2550b9a03969857225df2

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py

Python

toontown/speedchat/TTSCDecoders.py

AnonymousDeveloper65535/open-toontown

3d05c22a7d960ad843dde231140447c46973dba5

[ "BSD-3-Clause" ]

8

2017-10-10T11:41:01.000Z

2021-02-23T12:55:47.000Z

toontown/speedchat/TTSCDecoders.py

AnonymousDeveloper65535/open-toontown

3d05c22a7d960ad843dde231140447c46973dba5

[ "BSD-3-Clause" ]

1

2018-07-28T20:07:04.000Z

2018-07-30T18:28:34.000Z

toontown/speedchat/TTSCDecoders.py

AnonymousDeveloper65535/open-toontown

3d05c22a7d960ad843dde231140447c46973dba5

[ "BSD-3-Clause" ]

3

2021-06-03T05:36:36.000Z

2021-06-22T15:07:31.000Z

from TTSCToontaskTerminal import decodeTTSCToontaskMsg from TTSCResistanceTerminal import decodeTTSCResistanceMsg

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6

2bdf3e5afff522af274b522f668f840a089c7c62

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py

Python

tests/test_cfm_advance.py

vinniemo90/madden-cfm-chatbot

062f22860d2848edafba5094695ef244c3d5d02e

[ "MIT" ]

4

2019-05-27T20:53:28.000Z

2020-12-22T00:42:14.000Z

tests/test_cfm_advance.py

vinniemo90/madden-cfm-chatbot

062f22860d2848edafba5094695ef244c3d5d02e

[ "MIT" ]

2

2019-10-24T00:01:50.000Z

2021-04-30T20:48:45.000Z

tests/test_cfm_advance.py

vinniemo90/madden-cfm-chatbot

062f22860d2848edafba5094695ef244c3d5d02e

[ "MIT" ]

8

2019-02-23T09:43:34.000Z

2020-02-27T23:49:54.000Z

from unittest.mock import patch import sys sys.path.append('./') import cfm_advance import cfm_schedule import constants from firebase_admin import db @patch('firebase_admin.db') def test_advance_to_preseason(mock_db): db_root = mock_db.reference() schedule = cfm_advance.advance_to_preseason(db_root) assert isinstance(schedule, list) assert schedule[0] == 'Preseason Week 1 Schedule' @patch('cfm_schedule.get_user_games') @patch('firebase_admin.db') def test_advance_to_preseason_error(mock_db, mock_get_user_games): db_root = mock_db.reference() mock_get_user_games.return_value = [constants.USER_GAME_ERROR] schedule = cfm_advance.advance_to_preseason(db_root) assert isinstance(schedule, list) assert schedule[0] == constants.USER_GAME_ERROR @patch('firebase_admin.db') def test_advance_to_reg(mock_db): db_root = mock_db.reference() schedule = cfm_advance.advance_to_reg(db_root) assert isinstance(schedule, list) assert schedule[0] == 'Regular Season Week 1 Schedule' @patch('cfm_schedule.get_user_games') @patch('firebase_admin.db') def test_advance_to_reg_error(mock_db, mock_get_user_games): db_root = mock_db.reference() mock_get_user_games.return_value = [constants.USER_GAME_ERROR] schedule = cfm_advance.advance_to_reg(db_root) assert isinstance(schedule, list) assert schedule[0] == constants.USER_GAME_ERROR @patch('firebase_admin.db') def test_advance_to_playoffs(mock_db): db_root = mock_db.reference() schedule = cfm_advance.advance_to_playoffs(db_root) assert isinstance(schedule, list) assert schedule[0] == 'Wildcard Schedule' @patch('cfm_schedule.get_user_games') @patch('firebase_admin.db') def test_advance_to_playoffs_error(mock_db, mock_get_user_games): db_root = mock_db.reference() mock_get_user_games.return_value = [constants.USER_GAME_ERROR] schedule = cfm_advance.advance_to_playoffs(db_root) assert isinstance(schedule, list) assert schedule[0] == constants.USER_GAME_ERROR @patch('cfm_advance.advance_to_preseason') @patch('firebase_admin.db') def test_advance_pre(mock_db, mock_advance_to_preseason): db_root = mock_db.reference() mock_advance_to_preseason.return_value = ['abc'] schedule = cfm_advance.advance(db_root, ['/advance', 'pre'], 0) assert schedule == 'abc' @patch('cfm_advance.advance_to_preseason') @patch('firebase_admin.db') def test_advance_pre_error(mock_db, mock_adv_to_preseason): db_root = mock_db mock_adv_to_preseason.side_effect = Exception schedule = cfm_advance.advance(db_root, ['/advance', 'pre'], 0) assert schedule == constants.UNEXPECTED_ERR_MSG @patch('cfm_advance.advance_to_reg') @patch('firebase_admin.db') def test_advance_reg(mock_db, mock_adv_reg): db_root = mock_db.reference() mock_adv_reg.return_value = ['foo'] schedule = cfm_advance.advance(db_root, ['/advance', 'reg'], 0) assert schedule == 'foo' @patch('cfm_advance.advance_to_reg') @patch('firebase_admin.db') def test_advance_reg_error(mock_db, mock_adv_reg): db_root = mock_db mock_adv_reg.side_effect = Exception schedule = cfm_advance.advance(db_root, ['/advance', 'reg'], 0) assert schedule == constants.UNEXPECTED_ERR_MSG @patch('cfm_advance.advance_to_playoffs') @patch('firebase_admin.db') def test_advance_playoffs(mock_db, mock_adv_to_playoffs): db_root = mock_db.reference() mock_adv_to_playoffs.return_value = ['bar'] schedule = cfm_advance.advance(db_root, ['/advance', 'playoffs'], 0) assert schedule == 'bar' @patch('cfm_advance.advance_to_playoffs') @patch('firebase_admin.db') def test_advance_playoffs_error(mock_db, mock_adv_to_playoffs): db_root = mock_db mock_adv_to_playoffs.side_effect = Exception schedule = cfm_advance.advance(db_root, ['/advance', 'playoffs'], 0) assert schedule == constants.UNEXPECTED_ERR_MSG @patch('firebase_admin.db') def test_advance_offseason(mock_db): db_root = mock_db.reference() schedule = cfm_advance.advance(db_root, ['/advance', 'offseason'], 0) assert schedule == 'Offseason Stage 1: Resign Players' @patch('firebase_admin.db') def test_advance_offseason_error(mock_db): db_root = mock_db mock_db.update.side_effect = Exception schedule = cfm_advance.advance(db_root, ['/advance', 'offseason'], 0) assert schedule == constants.UNEXPECTED_ERR_MSG

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0

0.196078

0

null

0

1

0

null

0

6

9203a75195ae3a4280d422554e6bcadf44057704

245

py

Python

main.py

lmallez/wikidata-tree-generator

4fe6b8af6615083e670bdd9495624f4292fd53c0

[ "MIT" ]

4

2020-07-06T09:48:30.000Z

2020-10-27T06:56:44.000Z

main.py

lmallez/wikidata-tree-generator

4fe6b8af6615083e670bdd9495624f4292fd53c0

[ "MIT" ]

2

2020-10-10T13:59:19.000Z

2021-06-25T15:44:46.000Z

main.py

lmallez/wikidata-tree-generator

4fe6b8af6615083e670bdd9495624f4292fd53c0

[ "MIT" ]

null

#!/usr/bin/env python3 import sys from wikidata.entity import EntityId from wikidata_tree_generator.generate_from_yaml import generate_from_yaml if __name__ == '__main__': generate_from_yaml(sys.argv[1], EntityId(sys.argv[2]), sys.argv[3])

30.625

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0.791837

38

245

4.684211

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0.202247

0.269663

0

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245

7

74

35

0.78733

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0

true

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1

0

null

0

1

0

1

0

6

920733ec4074f412b6c779d11278321f860b5354

42

py

Python

lithops/standalone/__init__.py

kpavel/lithops

395eef8b283512bd714d3633dcd94258e1df620c

[ "Apache-2.0" ]

158

2020-09-16T13:22:03.000Z

2022-03-28T20:01:31.000Z

lithops/standalone/__init__.py

kpavel/lithops

395eef8b283512bd714d3633dcd94258e1df620c

[ "Apache-2.0" ]

256

2018-05-20T13:01:51.000Z

2020-09-16T09:09:54.000Z

lithops/standalone/__init__.py

kpavel/lithops

395eef8b283512bd714d3633dcd94258e1df620c

[ "Apache-2.0" ]

48

2020-09-19T15:29:53.000Z

2022-03-23T17:08:24.000Z

from .standalone import StandaloneHandler

21

41

0.880952

4

42

9.25

1

0

0.095238

42

1

42

0.973684

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

a6219320097cbf34b8d717f219794d77a379d273

33

py

Python

src/vbox/config/__init__.py

autumnjolitz/vbox

38015ee0bb2316982490172068b791762e092a85

[ "BSD-3-Clause" ]

1

2020-08-12T15:03:31.000Z

src/vbox/config/__init__.py

autumnjolitz/vbox

38015ee0bb2316982490172068b791762e092a85

[ "BSD-3-Clause" ]

null

src/vbox/config/__init__.py

autumnjolitz/vbox

38015ee0bb2316982490172068b791762e092a85

[ "BSD-3-Clause" ]

null

from .interface import VirtualBox

33

0.878788

4

33

7.25

1

0

0.090909

33

1

33

0.966667

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

a6219908ed7ba5c1557dce5486dbcb8dde0e18dd

223

py

Python

genesys/genesys/codelets/adl/graph/__init__.py

ziqingzeng/public

4102b3bd42f43b49cf74599492d52d4f755ab7b2

[ "BSD-3-Clause" ]

6

2021-04-20T06:33:25.000Z

2022-02-24T06:46:13.000Z

genesys/genesys/codelets/adl/graph/__init__.py

ziqingzeng/public

4102b3bd42f43b49cf74599492d52d4f755ab7b2

[ "BSD-3-Clause" ]

3

2021-04-20T04:28:51.000Z

2021-05-24T05:14:31.000Z

genesys/genesys/codelets/adl/graph/__init__.py

ziqingzeng/public

4102b3bd42f43b49cf74599492d52d4f755ab7b2

[ "BSD-3-Clause" ]

4

2021-04-08T16:38:46.000Z

2021-04-30T05:51:30.000Z

from .architecture_graph import ArchitectureGraph from .architecture_node import ArchitectureNode from .compute_node import ComputeNode from .communication_node import CommunicationNode from .storage_node import StorageNode

44.6

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0.892377

25

223

7.76

0.52

0.206186

0

0.085202

223

5

50

44.6

0.95098

0

1

0

true

0

1

0

1

0

1

0

null

1

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1

0

null

0

1

0

1

0

1

0

6

a624f7ddb4f955832a199cdfc284b3c19c67c149

98

py

Python

tests/local_airflow/load_lib_test.py

Fahadsaadullahkhan/KubernetesJobOperator

d96f9498667f937503d1e45142060904674f823f

[ "MIT" ]

35

2020-02-10T16:55:41.000Z

2022-03-18T01:25:00.000Z

tests/local_airflow/load_lib_test.py

Fahadsaadullahkhan/KubernetesJobOperator

d96f9498667f937503d1e45142060904674f823f

[ "MIT" ]

26

2020-02-10T05:36:44.000Z

2022-03-02T18:44:47.000Z

tests/local_airflow/load_lib_test.py

Fahadsaadullahkhan/KubernetesJobOperator

d96f9498667f937503d1e45142060904674f823f

[ "MIT" ]

8

2020-02-28T23:24:07.000Z

2021-11-29T21:35:46.000Z

from airflow_kubernetes_job_operator.kubernetes_job_operator import ( KubernetesJobOperator, )

32.666667

69

0.867347

10

98

8

0.7

0.325

0.525

0

0.091837

98

3

70

32.666667

0.898876

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

5b4a4333ee04b641d1595c1defee0e62dcd12652

30

py

Python

pythonBase/advancePyton/chapter13/asyncio_http.py

cangchengkun/pythonbase

4e01331b1c7c13d86f32f697dd812cb267abe7ef

[ "CNRI-Python" ]

null

pythonBase/advancePyton/chapter13/asyncio_http.py

cangchengkun/pythonbase

4e01331b1c7c13d86f32f697dd812cb267abe7ef

[ "CNRI-Python" ]

null

pythonBase/advancePyton/chapter13/asyncio_http.py

cangchengkun/pythonbase

4e01331b1c7c13d86f32f697dd812cb267abe7ef

[ "CNRI-Python" ]

null

# asyncio没有提供http协议接口 aiohttp

15

29

0.866667

2

30

13

1

0

0.1

30

1

30

0.962963

0.9

0

null

0

null

0

null

0

null

1

null

true

0

null

1

null

0

1

0

1

0

null

0

1

0

6

5b4cf4c8f4e7391bb6f6f9f20746f132df30dd4e

21

py

Python

KD_Lib/KD/vision/DML/__init__.py

khizirsiddiqui/KD_Lib

0eccceccf9bbc994ec4b380a75114192cf358286

[ "MIT" ]

360

2020-05-11T08:18:20.000Z

2022-03-31T01:48:43.000Z

KD_Lib/KD/vision/DML/__init__.py

khizirsiddiqui/KD_Lib

0eccceccf9bbc994ec4b380a75114192cf358286

[ "MIT" ]

91

2020-05-11T08:14:56.000Z

2022-03-30T05:29:03.000Z

KD_Lib/KD/vision/DML/__init__.py

khizirsiddiqui/KD_Lib

0eccceccf9bbc994ec4b380a75114192cf358286

[ "MIT" ]

39

2020-05-11T08:06:47.000Z

2022-03-29T05:11:18.000Z

from .dml import DML

10.5

20

0.761905

4

21

4

0.75

0

0.190476

21

1

21

0.941176

0

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null

0

1

0

1

0

1

0

6

5b5008acd1ac79adf36d5999e8c804216147cdb6

2,063

py

Python

src/envassert/file.py

shirou/envassert

1113eb7fd1b1dffa28243e9fd11fd49830388124

[ "MIT" ]

null

src/envassert/file.py

shirou/envassert

1113eb7fd1b1dffa28243e9fd11fd49830388124

[ "MIT" ]

null

src/envassert/file.py

shirou/envassert

1113eb7fd1b1dffa28243e9fd11fd49830388124

[ "MIT" ]

null

from __future__ import with_statement from fabric.api import run, sudo, hide, env def exists(location): with hide("everything"): return run('test -e "%s" && echo OK ; true' % (location)).endswith("OK") def is_file(location): with hide("everything"): return run("test -f '%s' && echo OK ; true" % (location)).endswith("OK") def is_dir(location): with hide("everything"): return run("test -d '%s' && echo OK ; true" % (location)).endswith("OK") def is_link(location): with hide("everything"): return run("test -L '%s' && echo OK ; true" % (location)).endswith("OK") def dir_exists(location): with hide("everything"): return run('test -d "%s" && echo OK ; true' % (location)).endswith("OK") def has_line(location, line): with hide("everything"): text = run('cat "%s"' % (location)) return text.find(line) >= 0 def has_line_sudo(location, line): with hide("everything"): text = sudo('cat "%s"' % (location)) return text.find(line) >= 0 def owner_is(location, name): with hide("everything"): if env.platform_family == "freebsd": return run('stat -f %%Su %s | grep "^%s$" && echo OK ; true' % (location, name)).endswith("OK") else: return run('stat -c %%U %s | grep "^%s$" && echo OK ; true' % (location, name)).endswith("OK") def mode_is(location, name): with hide("everything"): if env.platform_family == "freebsd": return run('stat -f %%Op %s | cut -c 4-6 | grep "^%s$" && echo OK ; true' % (location, name)).endswith("OK") else: return run('stat -c %%a %s | grep "^%s$" && echo OK ; true' % (location, name)).endswith("OK") def group_is(location, name): with hide("everything"): if env.platform_family == "freebsd": return run('stat -f %%Sg %s | grep "^%s$" && echo OK ; true' % (location, name)).endswith("OK") else: return run('stat -c %%G %s | grep "^%s$" && echo OK ; true' % (location, name)).endswith("OK")

32.234375

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2,063

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0.105126

0.880973

0.821894

0.754127

0.682016

0.56212

0

0.002556

0.241396

2,063

63

121

32.746032

0.732907

0

0.418605

0

0.023256

0.291323

0

1

0.232558

false

0

0.046512

0

0.581395

0

null

0

1

0

null

0

1

0

1

0

6

5b84c1dd5de1653ab50f977f021bc6ecec34aeca

156

py

Python

tests/unit/testhelper.py

starkcoffee/randomchatroom

6784d1f32916a5d5e2cf3c7d9f6be927a061b5ef

[ "MIT" ]

null

tests/unit/testhelper.py

starkcoffee/randomchatroom

6784d1f32916a5d5e2cf3c7d9f6be927a061b5ef

[ "MIT" ]

null

tests/unit/testhelper.py

starkcoffee/randomchatroom

6784d1f32916a5d5e2cf3c7d9f6be927a061b5ef

[ "MIT" ]

1

2020-01-05T02:29:18.000Z

import sys from os.path import dirname # import the app code by putting directory ../.. on the path sys.path.append(dirname(dirname(dirname(__file__))))

19.5

60

0.75

24

156

4.708333

0.625

0.247788

0

0.141026

156

7

61

22.285714

0.843284

0.371795

0

1

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true

0

0.666667

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0.666667

0

1

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null

1

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0

null

0

1

0

1

0

1

0

6

5bd41dfb3ddd6a498f0df1d0d8689e1c6b4941fd

82

py

Python

keys.py

dvatvani/trakt-ratings-trends

9c341592439bb4b825e8b4feb040653e434bdd67

[ "MIT" ]

2

2021-02-26T07:32:16.000Z

2021-03-25T04:24:24.000Z

keys.py

dvatvani/trakt-ratings-trends

9c341592439bb4b825e8b4feb040653e434bdd67

[ "MIT" ]

null

keys.py

dvatvani/trakt-ratings-trends

9c341592439bb4b825e8b4feb040653e434bdd67

[ "MIT" ]

null

trakt_api_key = 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'

82

0.939024

4

82

18.75

1

0

0.02439

82

1

82

0.9375

0

0.771084

0

1

0

1

0

false

0

1

0

1

null

0

1

0

1

null

1

0

6

5be76276e87e417627666b8c3e716b4ec1330053

5,548

py

Python

scripts/icws_csv_data_export.py

ioffe-ben/icws-snippets

3a2d859a296272f55ed579c7bc5c1e483e9368d5

[ "BSD-3-Clause" ]

1

2021-11-01T13:50:27.000Z

scripts/icws_csv_data_export.py

ioffe-ben/icws-snippets

3a2d859a296272f55ed579c7bc5c1e483e9368d5

[ "BSD-3-Clause" ]

null

scripts/icws_csv_data_export.py

ioffe-ben/icws-snippets

3a2d859a296272f55ed579c7bc5c1e483e9368d5

[ "BSD-3-Clause" ]

null

# Copyright (c) 2021, Ben Ioffe (github.com/ioffe-ben). All rights reserved. Copyrights licensed under the BSD 3-Clause License. See the accompanying LICENSE file for terms. # Code snippet description: the following snippet shows how to generate a .csv document with IC users, workgroups, roles, skills, wrap-up codes, and wrap-up categories using ICWS API. import json import requests import icws_cloud_authentication # or import icws_premise_authentication for PureConnect Premise (more details: https://github.com/ioffe-ben/pureconnect-icws-code-snippets/blob/main/scripts/icws_premise_authentication.py) # Generate a .csv document with IC users request = requests.get(icws_cloud_authentication.baseURL + icws_cloud_authentication.json_connection_response['sessionId'] + '/configuration/users', headers=icws_cloud_authentication.header, cookies=icws_cloud_authentication.cookie, verify=False) json_items = json.loads(request.text) i = 0 csv_export_string = 'IC Usernames\n' while i < len(json_items['items']): item = json_items['items'][i]['configurationId']['id'] i += 1 csv_export_string = csv_export_string + item + '\n' print('(' + str(i) + ' out of ' + str(len(json_items['items'])) + ') ' + item) with open('ic_users_export.csv', 'w') as file: file.write(csv_export_string) file.close() print('Export completed, see "ic_users_export.csv" file in the same folder as this script') # Generate a .csv document with workgroups request = requests.get(icws_cloud_authentication.baseURL + icws_cloud_authentication.json_connection_response['sessionId'] + '/configuration/workgroups', headers=icws_cloud_authentication.header, cookies=icws_cloud_authentication.cookie, verify=False) json_items = json.loads(request.text) i = 0 csv_export_string = 'Workgroups\n' while i < len(json_items['items']): item = json_items['items'][i]['configurationId']['id'] i += 1 csv_export_string = csv_export_string + item + '\n' print('(' + str(i) + ' out of ' + str(len(json_items['items'])) + ') ' + item) with open('workgroups_export.csv', 'w') as file: file.write(csv_export_string) file.close() print('Export completed, see "workgroups_export.csv" file in the same folder as this script') # Generate a .csv document with roles request = requests.get(icws_cloud_authentication.baseURL + icws_cloud_authentication.json_connection_response['sessionId'] + '/configuration/roles', headers=icws_cloud_authentication.header, cookies=icws_cloud_authentication.cookie, verify=False) json_items = json.loads(request.text) i = 0 csv_export_string = 'Roles\n' while i < len(json_items['items']): item = json_items['items'][i]['configurationId']['id'] i += 1 csv_export_string = csv_export_string + item + '\n' print('(' + str(i) + ' out of ' + str(len(json_items['items'])) + ') ' + item) with open('roles_export.csv', 'w') as file: file.write(csv_export_string) file.close() print('Export completed, see "roles_export.csv" file in the same folder as this script') # Generate a .csv document with skills request = requests.get(icws_cloud_authentication.baseURL + icws_cloud_authentication.json_connection_response['sessionId'] + '/configuration/skills', headers=icws_cloud_authentication.header, cookies=icws_cloud_authentication.cookie, verify=False) json_items = json.loads(request.text) i = 0 csv_export_string = 'Skills\n' while i < len(json_items['items']): item = json_items['items'][i]['configurationId']['id'] i += 1 csv_export_string = csv_export_string + item + '\n' print('(' + str(i) + ' out of ' + str(len(json_items['items'])) + ') ' + item) with open('skills_export.csv', 'w') as file: file.write(csv_export_string) file.close() print('Export completed, see "skills_export.csv" file in the same folder as this script') # Generate a .csv document with Wrap-up Codes request = requests.get(icws_cloud_authentication.baseURL + icws_cloud_authentication.json_connection_response['sessionId'] + '/configuration/wrap-up-codes', headers=icws_cloud_authentication.header, cookies=icws_cloud_authentication.cookie, verify=False) json_items = json.loads(request.text) i = 0 csv_export_string = 'Wrap-up Codes\n' while i < len(json_items['items']): item = json_items['items'][i]['configurationId']['displayName'] i += 1 csv_export_string = csv_export_string + item + '\n' print('(' + str(i) + ' out of ' + str(len(json_items['items'])) + ') ' + item) with open('wrap-up-codes_export.csv', 'w') as file: file.write(csv_export_string) file.close() print('Export completed, see "wrap-up-codes_export.csv" file in the same folder as this script') # Generate a .csv document with Wrap-up Categories request = requests.get(icws_cloud_authentication.baseURL + icws_cloud_authentication.json_connection_response['sessionId'] + '/configuration/wrap-up-categories', headers=icws_cloud_authentication.header, cookies=icws_cloud_authentication.cookie, verify=False) json_items = json.loads(request.text) i = 0 csv_export_string = 'Wrap-up Codes\n' while i < len(json_items['items']): item = json_items['items'][i]['configurationId']['displayName'] i += 1 csv_export_string = csv_export_string + item + '\n' print('(' + str(i) + ' out of ' + str(len(json_items['items'])) + ') ' + item) with open('wrap-up-categories_export.csv', 'w') as file: file.write(csv_export_string) file.close() print('Export completed, see "wrap-up-categories_export.csv" file in the same folder as this script')

48.666667

259

0.733598

780

5,548

5.023077

0.138462

0.057427

0.146759

0.052067

0.840735

0.833078

0.817254

0

0.003527

0.131218

5,548

113

260

49.097345

0.809336

0.141673

0

0.691358

0

0.024691

0.251684

0.059343

0

1

0

false

0

0.037037

0

0.037037

0.148148

0

null

0

1

0

null

0

6

7507a3ca79d840b6515aa600f81486d05f9e0cd9

155

py

Python

ptgnn/baseneuralmodel/__init__.py

mir-am/ptgnn

54b6f8a6411d31833e7ba904ac6bf24c37861e34

[ "MIT" ]

319

2020-05-16T01:08:03.000Z

2022-03-31T18:47:21.000Z

ptgnn/baseneuralmodel/__init__.py

mir-am/ptgnn

54b6f8a6411d31833e7ba904ac6bf24c37861e34

[ "MIT" ]

8

2020-06-26T13:54:34.000Z

2022-02-01T17:31:47.000Z

ptgnn/baseneuralmodel/__init__.py

mir-am/ptgnn

54b6f8a6411d31833e7ba904ac6bf24c37861e34

[ "MIT" ]

40

2020-05-21T13:36:51.000Z

2022-03-16T12:56:21.000Z

from .abstractneuralmodel import AbstractNeuralModel from .modulewithmetrics import ModuleWithMetrics from .trainer import AbstractScheduler, ModelTrainer

38.75

52

0.890323

13

155

10.615385

0.538462

0

0.083871

155

3

53

51.666667

0.971831

0

1

0

true

0

1

0

1

0

1

0

1

null

0

1

0

null

0

1

0

1

0

1

0

6

7526a1873c2b3c6a9ed6aeb6abe77344785e80e4

38

py

Python

AsyncLibrary/__init__.py

grzegorz-krol/robotframework-async

d9378cbbd8992ae63f5b7e0b8b5ba53952f989d8

[ "MIT" ]

25

2015-04-04T00:49:49.000Z

2021-11-12T17:19:50.000Z

AsyncLibrary/__init__.py

grzegorz-krol/robotframework-async

d9378cbbd8992ae63f5b7e0b8b5ba53952f989d8

[ "MIT" ]

10

2015-07-29T17:44:21.000Z

2021-12-27T10:16:57.000Z

AsyncLibrary/__init__.py

grzegorz-krol/robotframework-async

d9378cbbd8992ae63f5b7e0b8b5ba53952f989d8

[ "MIT" ]

15

2015-06-01T05:45:46.000Z

2021-01-20T22:57:06.000Z

from .robot_async import AsyncLibrary

19

37

0.868421

5

38

6.4

1

0

0.105263

38

1

38

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

75324d6be1c8202e0d06077cca3517e33b0cd943

2,526

py

Python

plot_pdf.py

eladgsofer/dlg

043ef1181a8fc476e01d73bb9df59bd5faed66f9

[ "MIT" ]

null

plot_pdf.py

eladgsofer/dlg

043ef1181a8fc476e01d73bb9df59bd5faed66f9

[ "MIT" ]

null

plot_pdf.py

eladgsofer/dlg

043ef1181a8fc476e01d73bb9df59bd5faed66f9

[ "MIT" ]

null

import matplotlib as plt import pickle import numpy as np def plot_graphs(algo, iteration_list): with open('output/ITER_MAT_LOSS_' + algo + '_VANILLA.npy', 'rb') as f: dlg_loss_per_iter_matrix = pickle.load(f) with open('output/ITER_MAT_MSE_' + algo + '_VANILLA.npy', 'rb') as f: dlg_mse_per_iter_matrix = pickle.load(f) with open('output/ITER_MAT_SSIM_' + algo + '_VANILLA.npy', 'rb') as f: dlg_ssim_per_iter_matrix = pickle.load(f) with open('output/ITER_MAT_LOSS_' + algo + '_JOPEQ.npy', 'rb') as f: jopeq_loss_per_iter_matrix = pickle.load(f) with open('output/ITER_MAT_MSE_' + algo + '_JOPEQ.npy', 'rb') as f: jopeq_mse_per_iter_matrix = pickle.load(f) with open('output/ITER_MAT_SSIM_' + algo + '_JOPEQ.npy', 'rb') as f: jopeq_ssim_per_iter_matrix = pickle.load(f) with open('output/ITER_GRAD_MAT_NORM_' + algo + '_new.npy', 'rb') as f: grads_norm_mat = pickle.load(f) font = {'weight': 'bold', 'size': 12} plt.figure() plt.rc('font', **font) plt.plot(iteration_list, np.mean(np.log(dlg_loss_per_iter_matrix), axis=1),'-o',linewidth=1.5) plt.plot(iteration_list, np.mean(np.log(jopeq_loss_per_iter_matrix), axis=1), '-*', linewidth=1.5, markersize=8) plt.legend(['Vanilla DLG', 'JoPEQ']) plt.grid(visible=True, axis="y") plt.grid(visible=True, which='minor') plt.xlabel("epoches") plt.ylabel("log(loss)") plt.savefig("log_loss_dlg_vs_jopeq.pdf", format="pdf", bbox_inches="tight") plt.figure() plt.rc('font', **font) plt.plot(iteration_list, np.mean(np.log(dlg_mse_per_iter_matrix), axis=1), linewidth=3) plt.plot(iteration_list, np.mean(np.log(jopeq_mse_per_iter_matrix), axis=1), linewidth=3) plt.title("dlg vanilla MSE vs JoPEQ MSE") plt.grid(visible=True, axis="y") plt.grid(visible=True, which='minor') plt.xlabel("epoches") plt.ylabel("log(MSE)") plt.figure() plt.rc('font', **font) plt.plot(iteration_list, np.mean(dlg_ssim_per_iter_matrix, axis=1), '-o', linewidth=1.5) plt.plot(iteration_list, np.mean(jopeq_ssim_per_iter_matrix, axis=1), '-*', linewidth=1.5, markersize=8) plt.legend(['Vanilla DLG', 'JoPEQ']) plt.grid(visible=True, axis="y") plt.grid(visible=True, which='minor') plt.xlabel("epoches") plt.ylabel("SSIM") plt.savefig("ssim_dlg_vs_jopeq.pdf", format="pdf", bbox_inches="tight") plt.figure() plt.plot(iteration_list, np.mean(grads_norm_mat, axis=1), linewidth=3) plt.show()

44.315789

116

0.669834

402

2,526

3.962687

0.174129

0.052731

0.097928

0.079096

0.853735

0.837414

0.812932

0.721908

0.652229

0

0.010363

0.159541

2,526

57

117

44.315789

0.739991

0

0.352941

0

0.17966

0.061733

0

1

0.019608

false

0

0.058824

0

0.078431

0

null

0

1

0

null

0

6

753719719029315f266975b6eeb89a0a85368340

27

py

Python

docker_python_template/other.py

mattwalshdev/docker_python_template

d180c880c2bb4609d5f00ba948c3339f2d05de2d

[ "MIT" ]

null

docker_python_template/other.py

mattwalshdev/docker_python_template

d180c880c2bb4609d5f00ba948c3339f2d05de2d

[ "MIT" ]

null

docker_python_template/other.py

mattwalshdev/docker_python_template

d180c880c2bb4609d5f00ba948c3339f2d05de2d

[ "MIT" ]

null

print("I'm another file!!")

27

0.666667

5

27

3.6

1

0

0.074074

27

1

27

0.72

0

0.642857

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

7557029c81abc848e6992b6a7ef2b133a6d3d8a8

274

py

Python

pybullet-env-mods/pybullet_env_mods/envs/__init__.py

homayoonfarrahi/cycle-time-study

3939d1ffa7e74eaea2ebf059290dd817f4fe084c

[ "Apache-2.0" ]

null

pybullet-env-mods/pybullet_env_mods/envs/__init__.py

homayoonfarrahi/cycle-time-study

3939d1ffa7e74eaea2ebf059290dd817f4fe084c

[ "Apache-2.0" ]

null

pybullet-env-mods/pybullet_env_mods/envs/__init__.py

homayoonfarrahi/cycle-time-study

3939d1ffa7e74eaea2ebf059290dd817f4fe084c

[ "Apache-2.0" ]

null

from pybullet_env_mods.envs.self_aware_reacher_env import SelfAwareReacherBulletEnv from pybullet_env_mods.envs.self_aware_reacher_env import HighFreqReacherBulletEnv from pybullet_env_mods.envs.high_freq_inverted_pendulum_env import HighFreqInvertedDoublePendulumBulletEnv

68.5

106

0.934307

34

274

7.058824

0.470588

0.15

0.1875

0.2375

0.495833

0.4

0

0.043796

274

3

107

91.333333

0.916031

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

f35d2b073871238f8b7004835319ec3bc4ac0c02

323

py

Python

terrascript/librato/r.py

vutsalsinghal/python-terrascript

3b9fb5ad77453d330fb0cd03524154a342c5d5dc

[ "BSD-2-Clause" ]

null

terrascript/librato/r.py

vutsalsinghal/python-terrascript

3b9fb5ad77453d330fb0cd03524154a342c5d5dc

[ "BSD-2-Clause" ]

null

terrascript/librato/r.py

vutsalsinghal/python-terrascript

3b9fb5ad77453d330fb0cd03524154a342c5d5dc

[ "BSD-2-Clause" ]

null

# terrascript/librato/r.py import terrascript class librato_space(terrascript.Resource): pass class librato_space_chart(terrascript.Resource): pass class librato_metric(terrascript.Resource): pass class librato_alert(terrascript.Resource): pass class librato_service(terrascript.Resource): pass

16.15

48

0.780186

37

323

6.648649

0.351351

0.243902

0.46748

0.455285

0.569106

0

0.145511

323

19

49

17

0.891304

0.074303

0

0.454545

0

1

0

true

0.454545

0.090909

0

0.545455

0

null

1

0

null

0

1

0

1

0

6

f361ce2611ce262a4963939c167171239ba46ffa

10,376

py

Python

tests/core/test_nested_data.py

utsc-networking/utsc-tools

d5bc10cf825f1be46999d5a42da62cc0df456f0c

[ "MIT" ]

null

tests/core/test_nested_data.py

utsc-networking/utsc-tools

d5bc10cf825f1be46999d5a42da62cc0df456f0c

[ "MIT" ]

null

tests/core/test_nested_data.py

utsc-networking/utsc-tools

d5bc10cf825f1be46999d5a42da62cc0df456f0c

[ "MIT" ]

null

# pylint: disable=unused-argument from utsc.core import NestedData def test_nesteddata_unstructure(): input_data = { "menu": { "header": "SVG Viewer", "items": [ {"id": "Open"}, {"id": "OpenNew", "label": "Open New"}, None, {"id": "ZoomIn", "label": "Zoom In"}, {"id": "ZoomOut", "label": "Zoom Out"}, {"id": "OriginalView", "label": "Original View"}, None, {"id": "Quality"}, {"id": "Pause"}, {"id": "Mute"}, None, {"id": "Find", "label": "Find..."}, {"id": "FindAgain", "label": "Find Again"}, {"id": "Copy"}, {"id": "CopyAgain", "label": "Copy Again"}, {"id": "CopySVG", "label": "Copy SVG"}, {"id": "ViewSVG", "label": "View SVG"}, {"id": "ViewSource", "label": "View Source"}, {"id": "SaveAs", "label": "Save As"}, None, {"id": "Help"}, {"id": "About", "label": "About Adobe CVG Viewer..."}, ], "other": {"[key1]": True, "[key2]": False}, } } expected_output = [ ("menu.header", "SVG Viewer"), ("menu.items.[0].id", "Open"), ("menu.items.[1].id", "OpenNew"), ("menu.items.[1].label", "Open New"), ("menu.items.[2]", None), ("menu.items.[3].id", "ZoomIn"), ("menu.items.[3].label", "Zoom In"), ("menu.items.[4].id", "ZoomOut"), ("menu.items.[4].label", "Zoom Out"), ("menu.items.[5].id", "OriginalView"), ("menu.items.[5].label", "Original View"), ("menu.items.[6]", None), ("menu.items.[7].id", "Quality"), ("menu.items.[8].id", "Pause"), ("menu.items.[9].id", "Mute"), ("menu.items.[10]", None), ("menu.items.[11].id", "Find"), ("menu.items.[11].label", "Find..."), ("menu.items.[12].id", "FindAgain"), ("menu.items.[12].label", "Find Again"), ("menu.items.[13].id", "Copy"), ("menu.items.[14].id", "CopyAgain"), ("menu.items.[14].label", "Copy Again"), ("menu.items.[15].id", "CopySVG"), ("menu.items.[15].label", "Copy SVG"), ("menu.items.[16].id", "ViewSVG"), ("menu.items.[16].label", "View SVG"), ("menu.items.[17].id", "ViewSource"), ("menu.items.[17].label", "View Source"), ("menu.items.[18].id", "SaveAs"), ("menu.items.[18].label", "Save As"), ("menu.items.[19]", None), ("menu.items.[20].id", "Help"), ("menu.items.[21].id", "About"), ("menu.items.[21].label", "About Adobe CVG Viewer..."), ("menu.other.[key1]", True), ("menu.other.[key2]", False), ] output = [] for keypath, value in NestedData.unstructure(input_data): assert isinstance(keypath, str) output.append((keypath, value)) assert output == expected_output def test_nesteddata_restructure(): input_data = [ ("menu.header", "SVG Viewer"), ("menu.items.[0].id", "Open"), ("menu.items.[1].id", "OpenNew"), ("menu.items.[1].label", "Open New"), ("menu.items.[2]", None), ("menu.items.[3].id", "ZoomIn"), ("menu.items.[3].label", "Zoom In"), ("menu.items.[4].id", "ZoomOut"), ("menu.items.[4].label", "Zoom Out"), ("menu.items.[5].id", "OriginalView"), ("menu.items.[5].label", "Original View"), ("menu.items.[6]", None), ("menu.items.[7].id", "Quality"), ("menu.items.[8].id", "Pause"), ("menu.items.[9].id", "Mute"), ("menu.items.[10]", None), ("menu.items.[11].id", "Find"), ("menu.items.[11].label", "Find..."), ("menu.items.[12].id", "FindAgain"), ("menu.items.[12].label", "Find Again"), ("menu.items.[13].id", "Copy"), ("menu.items.[14].id", "CopyAgain"), ("menu.items.[14].label", "Copy Again"), ("menu.items.[15].id", "CopySVG"), ("menu.items.[15].label", "Copy SVG"), ("menu.items.[16].id", "ViewSVG"), ("menu.items.[16].label", "View SVG"), ("menu.items.[17].id", "ViewSource"), ("menu.items.[17].label", "View Source"), ("menu.items.[18].id", "SaveAs"), ("menu.items.[18].label", "Save As"), ("menu.items.[19]", None), ("menu.items.[20].id", "Help"), ("menu.items.[21].id", "About"), ("menu.items.[21].label", "About Adobe CVG Viewer..."), ("menu.other.[key1]", True), ("menu.other.[key2]", False), ] expected_output = { "menu": { "header": "SVG Viewer", "items": [ {"id": "Open"}, {"id": "OpenNew", "label": "Open New"}, None, {"id": "ZoomIn", "label": "Zoom In"}, {"id": "ZoomOut", "label": "Zoom Out"}, {"id": "OriginalView", "label": "Original View"}, None, {"id": "Quality"}, {"id": "Pause"}, {"id": "Mute"}, None, {"id": "Find", "label": "Find..."}, {"id": "FindAgain", "label": "Find Again"}, {"id": "Copy"}, {"id": "CopyAgain", "label": "Copy Again"}, {"id": "CopySVG", "label": "Copy SVG"}, {"id": "ViewSVG", "label": "View SVG"}, {"id": "ViewSource", "label": "View Source"}, {"id": "SaveAs", "label": "Save As"}, None, {"id": "Help"}, {"id": "About", "label": "About Adobe CVG Viewer..."}, ], "other": {"[key1]": True, "[key2]": False}, } } output = NestedData.restructure(input_data) assert output == expected_output def test_nesteddata_remap(): keymap = [ # basic renaming ("menu.header", "menu.footer"), # renaming with shell-style wildcards ("menu.items.[1].*", "menu.items.[1].new*"), # multiple rules can be applied to the same items, will be applied in order ("menu.items.*", "menu.newitems.*"), # support multiple wildcards ("menu.*.[3].*", "menu.*.[3].*altered"), # can move entire branches of the tree around, reattach them to other parts of the tree ("menu.newitems.[4].*", "menu.newsubkey.*"), ] input_data = { "menu": { "header": "SVG Viewer", "items": [ {"id": "Open"}, {"id": "OpenNew", "label": "Open New"}, None, {"id": "ZoomIn", "label": "Zoom In"}, {"id": "ZoomOut", "label": "Zoom Out"}, ], "other": {"[key1]": True, "[key2]": False}, } } expected_output = { "menu": { "footer": "SVG Viewer", "newitems": [ {"id": "Open"}, {"newid": "OpenNew", "newlabel": "Open New"}, None, {"idaltered": "ZoomIn", "labelaltered": "Zoom In"}, ], "newsubkey": {"id": "ZoomOut", "label": "Zoom Out"}, "other": {"[key1]": True, "[key2]": False}, } } unstructured = NestedData.unstructure(input_data) unstructured = NestedData.remap(unstructured, keymap) output = NestedData.restructure(unstructured) assert output == expected_output def test_nesteddata_filter(): input_data = { "menu": { "header": "SVG Viewer", "items": [ {"id": "Open"}, {"id": "OpenNew", "label": "Open New"}, None, {"id": "ZoomIn", "label": "Zoom In"}, {"id": "ZoomOut", "label": "Zoom Out"}, {"id": "OriginalView", "label": "Original View"}, None, {"id": "Quality"}, {"id": "Pause"}, {"id": "Mute"}, None, {"id": "Find", "label": "Find..."}, {"id": "FindAgain", "label": "Find Again"}, {"id": "Copy"}, {"id": "CopyAgain", "label": "Copy Again"}, {"id": "CopySVG", "label": "Copy SVG"}, {"id": "ViewSVG", "label": "View SVG"}, {"id": "ViewSource", "label": "View Source"}, {"id": "SaveAs", "label": "Save As"}, None, {"id": "Help"}, {"id": "About", "label": "About Adobe CVG Viewer..."}, ], "other": { "first": {"id": "Help"}, "second": {"id": "Help"}, }, } } filters = [ "menu.header", # full match "menu.other.first", # partial match "menu.items.*.*", # regex match, filter out all entries in items which don't have an id ] expected_output = { "menu": { "header": "SVG Viewer", "items": [ {"id": "Open"}, {"id": "OpenNew", "label": "Open New"}, {"id": "ZoomIn", "label": "Zoom In"}, {"id": "ZoomOut", "label": "Zoom Out"}, {"id": "OriginalView", "label": "Original View"}, {"id": "Quality"}, {"id": "Pause"}, {"id": "Mute"}, {"id": "Find", "label": "Find..."}, {"id": "FindAgain", "label": "Find Again"}, {"id": "Copy"}, {"id": "CopyAgain", "label": "Copy Again"}, {"id": "CopySVG", "label": "Copy SVG"}, {"id": "ViewSVG", "label": "View SVG"}, {"id": "ViewSource", "label": "View Source"}, {"id": "SaveAs", "label": "Save As"}, {"id": "Help"}, {"id": "About", "label": "About Adobe CVG Viewer..."}, ], "other": {"first": {"id": "Help"}}, } } unstructured = NestedData.unstructure(input_data) filtered = NestedData.filter_(unstructured, filters) output = NestedData.restructure(filtered) assert output == expected_output

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null

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f36b0e967d23b83573072b1385c4ce3c5d802899

88

py

Python

eod/runner/__init__.py

scott-mao/EOD

f10e64de86c0f356ebf5c7e923f4042eec4207b1

[ "Apache-2.0" ]

1

2022-01-12T01:51:39.000Z

eod/runner/__init__.py

YZW-explorer/EOD

f10e64de86c0f356ebf5c7e923f4042eec4207b1

[ "Apache-2.0" ]

null

eod/runner/__init__.py

YZW-explorer/EOD

f10e64de86c0f356ebf5c7e923f4042eec4207b1

[ "Apache-2.0" ]

null

from .base_runner import BaseRunner # noqa from .quant_runner import QuantRunner # noqa

29.333333

44

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f36db3be3d72b932bbf88cacd5dfc7e022c60d1b

126,657

py

Python

healthier/entries/migrations/0015_physicalactivity.py

muatik/healthier

571662f0e9bbae4ff09014e4f6e37e11fa485a12

[ "MIT" ]

9

2017-02-07T12:00:00.000Z

2021-03-15T05:29:13.000Z

healthier/entries/migrations/0015_physicalactivity.py

muatik/healthier

571662f0e9bbae4ff09014e4f6e37e11fa485a12

[ "MIT" ]

37

2016-10-03T08:26:33.000Z

2016-12-18T15:49:30.000Z

healthier/entries/migrations/0015_physicalactivity.py

muatik/healthier

571662f0e9bbae4ff09014e4f6e37e11fa485a12

[ "MIT" ]

6

2017-02-09T17:23:11.000Z

2018-04-19T02:17:09.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.10.3 on 2016-12-11 17:49 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('entries', '0014_auto_20161211_1436'), ] operations = [ migrations.CreateModel( name='PhysicalActivity', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('code', models.IntegerField()), ('METS', models.FloatField()), ('name', models.TextField(max_length=255)), ], ), migrations.RunSQL([ ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01003', 'bicycling, mountain, uphill, vigorous', '14.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01004', 'bicycling, mountain, competitive, racing', '16.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01008', 'bicycling, BMX', '8.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01009', 'bicycling, mountain, general', '8.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01010', 'bicycling, <10 mph, leisure, to work or for pleasure (Taylor Code 115)', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01011', 'bicycling, to/from work, self selected pace', '6.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01013', 'bicycling, on dirt or farm road, moderate pace', '5.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01015', 'bicycling, general', '7.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01018', 'bicycling, leisure, 5.5 mph', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01019', 'bicycling, leisure, 9.4 mph', '5.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01020', 'bicycling, 10-11.9 mph, leisure, slow, light effort', '6.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01030', 'bicycling, 12-13.9 mph, leisure, moderate effort', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01040', 'bicycling, 14-15.9 mph, racing or leisure, fast, vigorous effort', '10.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01050', 'bicycling, 16-19 mph, racing/not drafting or > 19 mph drafting, very fast, racing general', '12.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01060', 'bicycling, > 20 mph, racing, not drafting', '15.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01065', 'bicycling, 12 mph, seated, hands on brake hoods or bar drops, 80 rpm', '8.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01066', 'bicycling, 12 mph, standing, hands on brake hoods, 60 rpm', '9.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('01070', 'unicycling', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02001', 'activity promoting video game (e.g., Wii Fit), light effort (e.g., balance, yoga)', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02003', 'activity promoting video game (e.g., Wii Fit), moderate effort (e.g., aerobic, resistance)', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02005', 'activity promoting video/arcade game (e.g., Exergaming, Dance Dance Revolution), vigorous effort', '7.2');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02008', 'army type obstacle course exercise, boot camp training program', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02010', 'bicycling, stationary, general', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02011', 'bicycling, stationary, 30-50 watts, very light to light effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02012', 'bicycling, stationary, 90-100 watts, moderate to vigorous effort', '6.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02013', 'bicycling, stationary, 101-160 watts, vigorous effort', '8.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02014', 'bicycling, stationary, 161-200 watts, vigorous effort', '11.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02015', 'bicycling, stationary, 201-270 watts, very vigorous effort', '14.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02017', 'bicycling, stationary, 51-89 watts, light-to-moderate effort', '4.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02019', 'bicycling, stationary, RPM/Spin bike class', '8.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02020', 'calisthenics (e.g., push ups, sit ups, pull-ups, jumping jacks), vigorous effort', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02022', 'calisthenics (e.g., push ups, sit ups, pull-ups, lunges), moderate effort', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02024', 'calisthenics (e.g., situps, abdominal crunches), light effort', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02030', 'calisthenics, light or moderate effort, general (e.g., back exercises), going up & down from floor (Taylor Code 150)', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02035', 'circuit training, moderate effort', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02040', 'circuit training, including kettlebells, some aerobic movement with minimal rest, general, vigorous intensity', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02045', 'CurvesTM exercise routines in women', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02048', 'Elliptical trainer, moderate effort', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02050', 'resistance training (weight lifting, free weight, nautilus or universal), power lifting or body building, vigorous effort (Taylor Code 210)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02052', 'resistance (weight) training, squats , slow or explosive effort', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02054', 'resistance (weight) training, multiple exercises, 8-15 repetitions at varied resistance', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02060', 'health club exercise, general (Taylor Code 160)', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02061', 'health club exercise classes, general, gym/weight training combined in one visit', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02062', 'health club exercise, conditioning classes', '7.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02064', 'home exercise, general', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02065', 'stair-treadmill ergometer, general', '9.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02068', 'rope skipping, general', '12.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02070', 'rowing, stationary ergometer, general, vigorous effort', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02071', 'rowing, stationary, general, moderate effort', '4.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02072', 'rowing, stationary, 100 watts, moderate effort', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02073', 'rowing, stationary, 150 watts, vigorous effort', '8.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02074', 'rowing, stationary, 200 watts, very vigorous effort', '12.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02080', 'ski machine, general', '6.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02085', 'slide board exercise, general', '11.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02090', 'slimnastics, jazzercise', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02101', 'stretching, mild', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02105', 'pilates, general', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02110', 'teaching exercise class (e.g., aerobic, water)', '6.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02112', 'therapeutic exercise ball, Fitball exercise', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02115', 'upper body exercise, arm ergometer', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02117', 'upper body exercise, stationary bicycle - Airdyne (arms only) 40 rpm, moderate', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02120', 'water aerobics, water calisthenics, water exercise', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02135', 'whirlpool, sitting', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02140', 'video exercise workouts, TV conditioning programs (e.g., yoga, stretching), light effort', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02143', 'video exercise workouts, TV conditioning programs (e.g., cardio-resistance), moderate effort', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02146', 'video exercise workouts, TV conditioning programs (e.g., cardio-resistance), vigorous effort', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02150', 'yoga, Hatha', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02160', 'yoga, Power', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02170', 'yoga, Nadisodhana', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02180', 'yoga, Surya Namaskar', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02200', 'native New Zealander physical activities (e.g., Haka Powhiri, Moteatea, Waita Tira, Whakawatea, etc.), general, moderate effort', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('02205', 'native New Zealander physical activities (e.g., Haka, Taiahab), general, vigorous effort', '6.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03010', 'ballet, modern, or jazz, general, rehearsal or class', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03012', 'ballet, modern, or jazz, performance, vigorous effort', '6.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03014', 'tap', '4.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03015', 'aerobic, general', '7.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03016', 'aerobic, step, with 6 - 8 inch step', '7.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03017', 'aerobic, step, with 10 - 12 inch step', '9.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03018', 'aerobic, step, with 4-inch step', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03019', 'bench step class, general', '8.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03020', 'aerobic, low impact', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03021', 'aerobic, high impact', '7.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03022', 'aerobic dance wearing 10-15 lb weights', '10.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03025', 'ethnic or cultural dancing (e.g., Greek, Middle Eastern, hula, salsa, merengue, bamba y plena, flamenco, belly, and swing)', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03030', 'ballroom, fast (Taylor Code 125)', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03031', 'general dancing (e.g., disco, folk, Irish step dancing, line dancing, polka, contra, country)', '7.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03038', 'ballroom dancing, competitive, general', '11.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03040', 'ballroom, slow (e.g., waltz, foxtrot, slow dancing, samba, tango, 19th century dance, mambo, cha cha)', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03050', 'Anishinaabe Jingle Dancing', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('03060', 'Caribbean dance (Abakua, Beguine, Bellair, Bongo, Brukins, Caribbean Quadrills, Dinki Mini, Gere, Gumbay, Ibo, Jonkonnu, Kumina, Oreisha, Jambu)', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04001', 'fishing, general', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04005', 'fishing, crab fishing', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04007', 'fishing, catching fish with hands', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04010', 'fishing related, digging worms, with shovel', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04020', 'fishing from river bank and walking', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04030', 'fishing from boat or canoe, sitting', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04040', 'fishing from river bank, standing (Taylor Code 660)', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04050', 'fishing in stream, in waders (Taylor Code 670)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04060', 'fishing, ice, sitting', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04061', 'fishing, jog or line, standing, general', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04062', 'fishing, dip net, setting net and retrieving fish, general', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04063', 'fishing, set net, setting net and retrieving fish, general', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04064', 'fishing, fishing wheel, setting net and retrieving fish, general', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04065', 'fishing with a spear, standing', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04070', 'hunting, bow and arrow, or crossbow', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04080', 'hunting, deer, elk, large game (Taylor Code 170)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04081', 'hunting large game, dragging carcass', '11.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04083', 'hunting large marine animals', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04085', 'hunting large game, from a hunting stand, limited walking', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04086', 'hunting large game from a car, plane, or boat', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04090', 'hunting, duck, wading', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04095', 'hunting, flying fox, squirrel', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04100', 'hunting, general', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04110', 'hunting, pheasants or grouse (Taylor Code 680)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04115', 'hunting, birds', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04120', 'hunting, rabbit, squirrel, prairie chick, raccoon, small game (Taylor Code 690)', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04123', 'hunting, pigs, wild', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04124', 'trapping game, general', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04125', 'hunting, hiking with hunting gear', '9.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04130', 'pistol shooting or trap shooting, standing', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04140', 'rifle exercises, shooting, lying down', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('04145', 'rifle exercises, shooting, kneeling or standing', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05010', 'cleaning, sweeping carpet or floors, general', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05011', 'cleaning, sweeping, slow, light effort', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05012', 'cleaning, sweeping, slow, moderate effort', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05020', 'cleaning, heavy or major (e.g. wash car, wash windows, clean garage), moderate effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05021', 'cleaning, mopping, standing, moderate effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05022', 'cleaning windows, washing windows, general', '3.2');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05023', 'mopping, standing, light effort', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05024', 'polishing floors, standing, walking slowly, using electric polishing machine', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05025', 'multiple household tasks all at once, light effort', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05026', 'multiple household tasks all at once, moderate effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05027', 'multiple household tasks all at once, vigorous effort', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05030', 'cleaning, house or cabin, general, moderate effort', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05032', 'dusting or polishing furniture, general', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05035', 'kitchen activity, general, (e.g., cooking, washing dishes, cleaning up), moderate effort', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05040', 'cleaning, general (straightening up, changing linen, carrying out trash, light effort', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05041', 'wash dishes, standing or in general (not broken into stand/walk components)', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05042', 'wash dishes, clearing dishes from table, walking, light effort', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05043', 'vacuuming, general, moderate effort', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05044', 'butchering animals, small', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05045', 'butchering animal, large, vigorous effort', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05046', 'cutting and smoking fish, drying fish or meat', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05048', 'tanning hides, general', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05049', 'cooking or food preparation, moderate effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05050', 'cooking or food preparation - standing or sitting or in general (not broken into stand/walk components), manual appliances, light effort', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05051', 'serving food, setting table, implied walking or standing', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05052', 'cooking or food preparation, walking', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05053', 'feeding household animals', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05055', 'putting away groceries (e.g. carrying groceries, shopping without a grocery cart), carrying packages', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05056', 'carrying groceries upstairs', '7.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05057', 'cooking Indian bread on an outside stove', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05060', 'food shopping with or without a grocery cart, standing or walking', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05065', 'non-food shopping, with or without a cart, standing or walking', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05070', 'ironing', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05080', 'knitting, sewing, light effort, wrapping presents, sitting', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05082', 'sewing with a machine', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05090', 'laundry, fold or hang clothes, put clothes in washer or dryer, packing suitcase, washing clothes by hand, implied standing, light effort', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05092', 'laundry, hanging wash, washing clothes by hand, moderate effort', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05095', 'laundry, putting away clothes, gathering clothes to pack, putting away laundry, implied walking', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05100', 'making bed, changing linens', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05110', 'maple syruping/sugar bushing (including carrying buckets, carrying wood)', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05120', 'moving furniture, household items, carrying boxes', '5.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05121', 'moving, lifting light loads', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05125', 'organizing room', '4.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05130', 'scrubbing floors, on hands and knees, scrubbing bathroom, bathtub, moderate effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05131', 'scrubbing floors, on hands and knees, scrubbing bathroom, bathtub, light effort', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05132', 'scrubbing floors, on hands and knees, scrubbing bathroom, bathtub, vigorous effort', '6.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05140', 'sweeping garage, sidewalk or outside of house', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05146', 'standing, packing/unpacking boxes, occasional lifting of lightweight household items, loading or unloading items in car, moderate effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05147', 'implied walking, putting away household items, moderate effort', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05148', 'watering plants', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05149', 'building a fire inside', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05150', 'moving household items upstairs, carrying boxes or furniture', '9.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05160', 'standing, light effort tasks (pump gas, change light bulb, etc.)', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05165', 'walking, moderate effort tasks, non-cleaning (readying to leave, shut/lock doors, close windows, etc.)', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05170', 'sitting, playing with child(ren), light effort, only active periods', '2.2');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05171', 'standing, playing with child(ren) light effort, only active periods', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05175', 'walking/running, playing with child(ren), moderate effort, only active periods', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05180', 'walking/running, playing with child(ren), vigorous effort, only active periods', '5.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05181', 'walking and carrying small child, child weighing 15 lbs or more', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05182', 'walking and carrying small child, child weighing less than 15 lbs', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05183', 'standing, holding child', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05184', 'child care, infant, general', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05185', 'child care, sitting/kneeling (e.g., dressing, bathing, grooming, feeding, occasional lifting of child), light effort, general', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05186', 'child care, standing (e.g., dressing, bathing, grooming, feeding, occasional lifting of child), moderate effort', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05188', 'reclining with baby', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05189', 'breastfeeding, sitting or reclining', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05190', 'sit, playing with animals, light effort, only active periods', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05191', 'stand, playing with animals, light effort, only active periods', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05192', 'walk/run, playing with animals, general, light effort, only active periods', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05193', 'walk/run, playing with animals, moderate effort, only active periods', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05194', 'walk/run, playing with animals, vigorous effort, only active periods', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05195', 'standing, bathing dog', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05197', 'animal care, household animals, general', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05200', 'elder care, disabled adult, bathing, dressing, moving into and out of bed, only active periods', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('05205', 'elder care, disabled adult, feeding, combing hair, light effort, only active periods', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06010', 'airplane repair', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06020', 'automobile body work', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06030', 'automobile repair, light or moderate effort', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06040', 'carpentry, general, workshop (Taylor Code 620)', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06050', 'carpentry, outside house, installing rain gutters (Taylor Code 640),carpentry, outside house, building a fence', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06052', 'carpentry, outside house, building a fence', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06060', 'carpentry, finishing or refinishing cabinets or furniture', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06070', 'carpentry, sawing hardwood', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06072', 'carpentry, home remodeling tasks, moderate effort', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06074', 'carpentry, home remodeling tasks, light effort', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06080', 'caulking, chinking log cabin', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06090', 'caulking, except log cabin', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06100', 'cleaning gutters', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06110', 'excavating garage', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06120', 'hanging storm windows', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06122', 'hanging sheet rock inside house', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06124', 'hammering nails', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06126', 'home repair, general, light effort', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06127', 'home repair, general, moderate effort', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06128', 'home repair, general, vigorous effort', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06130', 'laying or removing carpet', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06140', 'laying tile or linoleum,repairing appliances', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06144', 'repairing appliances', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06150', 'painting, outside home (Taylor Code 650)', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06160', 'painting inside house,wallpapering, scraping paint', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06165', 'painting, (Taylor Code 630)', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06167', 'plumbing, general', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06170', 'put on and removal of tarp - sailboat', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06180', 'roofing', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06190', 'sanding floors with a power sander', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06200', 'scraping and painting sailboat or powerboat', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06205', 'sharpening tools', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06210', 'spreading dirt with a shovel', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06220', 'washing and waxing hull of sailboat or airplane', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06225', 'washing and waxing car', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06230', 'washing fence, painting fence, moderate effort', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('06240', 'wiring, tapping-splicing', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07010', 'lying quietly and watching television', '1.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07011', 'lying quietly, doing nothing, lying in bed awake, listening to music (not talking or reading)', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07020', 'sitting quietly and watching television', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07021', 'sitting quietly, general', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07022', 'sitting quietly, fidgeting, general, fidgeting hands', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07023', 'sitting, fidgeting feet', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07024', 'sitting, smoking', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07025', 'sitting, listening to music (not talking or reading) or watching a movie in a theater', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07026', 'sitting at a desk, resting head in hands', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07030', 'sleeping', '1.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07040', 'standing quietly, standing in a line', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07041', 'standing, fidgeting', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07050', 'reclining, writing', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07060', 'reclining, talking or talking on phone', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07070', 'reclining, reading', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('07075', 'meditating', '1.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08009', 'carrying, loading or stacking wood, loading/unloading or carrying lumber, light-to-moderate effort', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08010', 'carrying, loading or stacking wood, loading/unloading or carrying lumber', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08019', 'chopping wood, splitting logs, moderate effort', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08020', 'chopping wood, splitting logs, vigorous effort', '6.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08025', 'clearing light brush, thinning garden, moderate effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08030', 'clearing brush/land, undergrowth, or ground, hauling branches, wheelbarrow chores, vigorous effort', '6.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08040', 'digging sandbox, shoveling sand', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08045', 'digging, spading, filling garden, composting, light-to-moderate effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08050', 'digging, spading, filling garden, compositing, (Taylor Code 590)', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08052', 'digging, spading, filling garden, composting, vigorous effort', '7.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08055', 'driving tractor', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08057', 'felling trees, large size', '8.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08058', 'felling trees, small-medium size', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08060', 'gardening with heavy power tools, tilling a garden, chain saw', '5.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08065', 'gardening, using containers, older adults > 60 years', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08070', 'irrigation channels, opening and closing ports', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08080', 'laying crushed rock', '6.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08090', 'laying sod', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08095', 'mowing lawn, general', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08100', 'mowing lawn, riding mower (Taylor Code 550)', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08110', 'mowing lawn, walk, hand mower (Taylor Code 570)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08120', 'mowing lawn, walk, power mower, moderate or vigorous effort', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08125', 'mowing lawn, power mower, light or moderate effort (Taylor Code 590)', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08130', 'operating snow blower, walking', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08135', 'planting, potting, transplanting seedlings or plants, light effort', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08140', 'planting seedlings, shrub, stooping, moderate effort', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08145', 'planting crops or garden, stooping, moderate effort', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08150', 'planting trees', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08160', 'raking lawn or leaves, moderate effort', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08165', 'raking lawn (Taylor Code 600)', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08170', 'raking roof with snow rake', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08180', 'riding snow blower', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08190', 'sacking grass, leaves', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08192', 'shoveling dirt or mud', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08195', 'shoveling snow, by hand, moderate effort', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08200', 'shovelling snow, by hand (Taylor Code 610)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08202', 'shoveling snow, by hand, vigorous effort', '7.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08210', 'trimming shrubs or trees, manual cutter', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08215', 'trimming shrubs or trees, power cutter, using leaf blower, edge, moderate effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08220', 'walking, applying fertilizer or seeding a lawn, push applicator', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08230', 'watering lawn or garden, standing or walking', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08239', 'weeding, cultivating garden, light-to-moderate effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08240', 'weeding, cultivating garden (Taylor Code 580)', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08241', 'weeding, cultivating garden, using a hoe, moderate-to-vigorous effort', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08245', 'gardening, general, moderate effort', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08246', 'picking fruit off trees, picking fruits/vegetables, moderate effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08248', 'picking fruit off trees, gleaning fruits, picking fruits/vegetables, climbing ladder to pick fruit, vigorous effort', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08250', 'implied walking/standing - picking up yard, light, picking flowers or vegetables', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08251', 'walking, gathering gardening tools', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08255', 'wheelbarrow, pushing garden cart or wheelbarrow', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08260', 'yard work, general, light effort', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08261', 'yard work, general, moderate effort', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('08262', 'yard work, general, vigorous effort', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09000', 'board game playing, sitting', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09005', 'casino gambling, standing', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09010', 'card playing, sitting', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09013', 'chess game, sitting', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09015', 'copying documents, standing', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09020', 'drawing, writing, painting, standing', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09025', 'laughing, sitting', '1.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09030', 'sitting, reading, book, newspaper, etc.', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09040', 'sitting, writing, desk work, typing', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09045', 'sitting, playing traditional video game, computer game', '1.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09050', 'standing, talking in person, on the phone, computer, or text messaging, light effort', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09055', 'sitting, talking in person, on the phone, computer, or text messaging, light effort', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09060', 'sitting, studying, general, including reading and/or writing, light effort', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09065', 'sitting, in class, general, including note-taking or class discussion', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09070', 'standing, reading', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09071', 'standing, miscellaneous', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09075', 'sitting, arts and crafts, carving wood, weaving, spinning wool, light effort', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09080', 'sitting, arts and crafts, carving wood, weaving, spinning wool, moderate effort', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09085', 'standing, arts and crafts, sand painting, carving, weaving, light effort', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09090', 'standing, arts and crafts, sand painting, carving, weaving, moderate effort', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09095', 'standing, arts and crafts, sand painting, carving, weaving, vigorous effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09100', 'retreat/family reunion activities involving sitting, relaxing, talking, eating', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09101', 'retreat/family reunion activities involving playing games with children', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09105', 'touring/traveling/vacation involving riding in a vehicle', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09106', 'touring/traveling/vacation involving walking', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09110', 'camping involving standing, walking, sitting, light-to-moderate effort', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('09115', 'sitting at a sporting event, spectator', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10010', 'accordion, sitting', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10020', 'cello, sitting', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10030', 'conducting orchestra, standing', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10035', 'double bass, standing', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10040', 'drums, sitting', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10045', 'drumming (e.g., bongo, conga, benbe), moderate, sitting', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10050', 'flute, sitting', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10060', 'horn, standing', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10070', 'piano, sitting', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10074', 'playing musical instruments, general', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10077', 'organ, sitting', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10080', 'trombone, standing', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10090', 'trumpet, standing', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10100', 'violin, sitting', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10110', 'woodwind, sitting', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10120', 'guitar, classical, folk, sitting', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10125', 'guitar, rock and roll band, standing', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10130', 'marching band, baton twirling, walking, moderate pace, general', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10131', 'marching band, playing an instrument, walking, brisk pace, general', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('10135', 'marching band, drum major, walking', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11003', 'active workstation, treadmill desk, walking', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11006', 'airline flight attendant', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11010', 'bakery, general, moderate effort', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11015', 'bakery, light effort', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11020', 'bookbinding', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11030', 'building road, driving heavy machinery', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11035', 'building road, directing traffic, standing', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11038', 'carpentry, general, light effort', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11040', 'carpentry, general, moderate effort', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11042', 'carpentry, general, heavy or vigorous effort', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11050', 'carrying heavy loads (e.g., bricks, tools)', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11060', 'carrying moderate loads up stairs, moving boxes 25-49 lbs', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11070', 'chambermaid, hotel housekeeper, making bed, cleaning bathroom, pushing cart', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11080', 'coal mining, drilling coal, rock', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11090', 'coal mining, erecting supports', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11100', 'coal mining, general', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11110', 'coal mining, shoveling coal', '6.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11115', 'cook, chef', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11120', 'construction, outside, remodeling, new structures (e.g., roof repair, miscellaneous)', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11125', 'custodial work, light effort (e.g., cleaning sink and toilet, dusting, vacuuming, light cleaning)', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11126', 'custodial work, moderate effort (e.g., electric buffer, feathering arena floors, mopping, taking out trash, vacuuming)', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11130', 'electrical work (e.g., hook up wire, tapping-splicing)', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11135', 'engineer (e.g., mechanical or electrical)', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11145', 'farming, vigorous effort (e.g., baling hay, cleaning barn)', '7.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11146', 'farming, moderate effort (e.g., feeding animals, chasing cattle by walking and/or horseback, spreading manure, harvesting crops)', '4.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11147', 'farming, light effort (e.g., cleaning animal sheds, preparing animal feed)', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11170', 'farming, driving tasks (e.g., driving tractor or harvester)', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11180', 'farming, feeding small animals', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11190', 'farming, feeding cattle, horses', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11191', 'farming, hauling water for animals, general hauling water,farming, general hauling water', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11192', 'farming, taking care of animals (e.g., grooming, brushing, shearing sheep, assisting with birthing, medical care, branding), general', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11195', 'farming, rice, planting, grain milling activities', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11210', 'farming, milking by hand, cleaning pails, moderate effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11220', 'farming, milking by machine, light effort', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11240', 'fire fighter, general', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11244', 'fire fighter, rescue victim, automobile accident, using pike pole', '6.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11245', 'fire fighter, raising and climbing ladder with full gear, simulated fire supression', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11246', 'fire fighter, hauling hoses on ground, carrying/hoisting equipment, breaking down walls etc., wearing full gear', '9.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11247', 'fishing, commercial, light effort', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11248', 'fishing, commercial, moderate effort', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11249', 'fishing, commercial, vigorous effort', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11250', 'forestry, ax chopping, very fast, 1.25 kg axe, 51 blows/min, extremely vigorous effort', '17.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11260', 'forestry, ax chopping, slow, 1.25 kg axe, 19 blows/min, moderate effort', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11262', 'forestry, ax chopping, fast, 1.25 kg axe, 35 blows/min, vigorous effort', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11264', 'forestry, moderate effort (e.g., sawing wood with power saw, weeding, hoeing)', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11266', 'forestry, vigorous effort (e.g., barking, felling, or trimming trees, carrying or stacking logs, planting seeds, sawing lumber by hand)', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11370', 'furriery', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11375', 'garbage collector, walking, dumping bins into truck', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11378', 'hairstylist (e.g., plaiting hair, manicure, make-up artist)', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11380', 'horse grooming, including feeding, cleaning stalls, bathing, brushing, clipping, longeing and exercising horses', '7.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11381', 'horse, feeding, watering, cleaning stalls, implied walking and lifting loads', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11390', 'horse racing, galloping', '7.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11400', 'horse racing, trotting', '5.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11410', 'horse racing, walking', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11413', 'kitchen maid', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11415', 'lawn keeper, yard work, general', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11418', 'laundry worker', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11420', 'locksmith', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11430', 'machine tooling (e.g., machining, working sheet metal, machine fitter, operating lathe, welding) light-to-moderate effort', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11450', 'Machine tooling, operating punch press, moderate effort', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11472', 'manager, property', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11475', 'manual or unskilled labor, general, light effort', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11476', 'manual or unskilled labor, general, moderate effort', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11477', 'manual or unskilled labor, general, vigorous effort', '6.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11480', 'masonry, concrete, moderate effort', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11482', 'masonry, concrete, light effort', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11485', 'massage therapist, standing', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11490', 'moving, carrying or pushing heavy objects, 75 lbs or more, only active time (e.g., desks, moving van work)', '7.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11495', 'skindiving or SCUBA diving as a frogman, Navy Seal', '12.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11500', 'operating heavy duty equipment, automated, not driving', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11510', 'orange grove work, picking fruit', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11514', 'painting,house, furniture, moderate effort', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11516', 'plumbing activities', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11520', 'printing, paper industry worker, standing', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11525', 'police, directing traffic, standing', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11526', 'police, driving a squad car, sitting', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11527', 'police, riding in a squad car, sitting', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11528', 'police, making an arrest, standing', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11529', 'postal carrier, walking to deliver mail', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11530', 'shoe repair, general', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11540', 'shoveling, digging ditches', '7.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11550', 'shoveling, more than 16 lbs/minute, deep digging, vigorous effort', '8.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11560', 'shoveling, less than 10 lbs/minute, moderate effort', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11570', 'shoveling, 10 to 15 lbs/minute, vigorous effort', '6.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11580', 'sitting tasks, light effort (e.g., office work, chemistry lab work, computer work, light assembly repair, watch repair, reading, desk work)', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11585', 'sitting meetings, light effort, general, and/or with talking involved (e.g., eating at a business meeting)', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11590', 'sitting tasks, moderate effort (e.g., pushing heavy levers, riding mower/forklift, crane operation)', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11593', 'sitting, teaching stretching or yoga, or light effort exercise class', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11600', 'standing tasks, light effort (e.g., bartending, store clerk, assembling, filing, duplicating, librarian, putting up a Christmas tree, standing and talking at work, changing clothes when teaching physical education, standing)', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11610', 'standing, light/moderate effort (e.g., assemble/repair heavy parts, welding,stocking parts,auto repair,standing, packing boxes, nursing patient care)', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11615', 'standing, moderate effort, lifting items continuously, 10 \u2013 20 lbs, with limited walking or resting', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11620', 'standing, moderate effort, intermittent lifting 50 lbs, hitch/twisting ropes', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11630', 'standing, moderate/heavy tasks (e.g., lifting more than 50 lbs, masonry, painting, paper hanging)', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11708', 'steel mill, moderate effort (e.g., fettling, forging, tipping molds)', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11710', 'steel mill, vigorous effort (e.g., hand rolling, merchant mill rolling, removing slag, tending furnace)', '8.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11720', 'tailoring, cutting fabric', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11730', 'tailoring, general', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11740', 'tailoring, hand sewing', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11750', 'tailoring, machine sewing', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11760', 'tailoring, pressing', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11763', 'tailoring, weaving, light effort (e.g., finishing operations, washing, dyeing, inspecting cloth, counting yards, paperwork)', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11765', 'tailoring, weaving, moderate effort (e.g., spinning and weaving operations, delivering boxes of yam to spinners, loading of warp bean, pinwinding, conewinding, warping, cloth cutting)', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11766', 'truck driving, loading and unloading truck, tying down load, standing, walking and carrying heavy loads', '6.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11767', 'Truch, driving delivery truck, taxi, shuttlebus, school bus', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11770', 'typing, electric, manual or computer', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11780', 'using heavy power tools such as pneumatic tools (e.g., jackhammers, drills)', '6.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11790', 'using heavy tools (not power) such as shovel, pick, tunnel bar, spade', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11791', 'walking on job, less than 2.0 mph, very slow speed, in office or lab area', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11792', 'walking on job, 3.0 mph, in office, moderate speed, not carrying anything', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11793', 'walking on job, 3.5 mph, in office, brisk speed, not carrying anything', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11795', 'walking on job, 2.5 mph, slow speed and carrying light objects less than 25 lbs', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11796', 'walking, gathering things at work, ready to leave', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11797', 'walking, 2.5 mph, slow speed, carrying heavy objects more than 25 lbs', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11800', 'walking, 3.0 mph, moderately and carrying light objects less than 25 lbs', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11805', 'walking, pushing a wheelchair', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11810', 'walking, 3.5 mph, briskly and carrying objects less than 25 lbs', '4.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11820', 'walking or walk downstairs or standing, carrying objects about 25 to 49 lbs', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11830', 'walking or walk downstairs or standing, carrying objects about 50 to 74 lbs', '6.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11840', 'walking or walk downstairs or standing, carrying objects about 75 to 99 lbs', '7.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11850', 'walking or walk downstairs or standing, carrying objects about 100 lbs or more', '8.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('11870', 'working in scene shop, theater actor, backstage employee', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12010', 'jog/walk combination (jogging component of less than 10 minutes) (Taylor Code 180)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12020', 'jogging, general', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12025', 'jogging, in place', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12027', 'jogging, on a mini-tramp', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12029', 'Running, 4 mph (13 min/mile)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12030', 'running, 5 mph (12 min/mile)', '8.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12040', 'running, 5.2 mph (11.5 min/mile)', '9.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12050', 'running, 6 mph (10 min/mile)', '9.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12060', 'running, 6.7 mph (9 min/mile)', '10.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12070', 'running, 7 mph (8.5 min/mile)', '11.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12080', 'running, 7.5 mph (8 min/mile)', '11.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12090', 'running, 8 mph (7.5 min/mile)', '11.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12100', 'running, 8.6 mph (7 min/mile)', '12.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12110', 'running, 9 mph (6.5 min/mile)', '12.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12120', 'running, 10 mph (6 min/mile)', '14.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12130', 'running, 11 mph (5.5 min/mile)', '16.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12132', 'running, 12 mph (5 min/mile)', '19.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12134', 'running, 13 mph (4.6 min/mile)', '19.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12135', 'running, 14 mph (4.3 min/mile)', '23.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12140', 'running, cross country', '9.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12150', 'running, (Taylor code 200)', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12170', 'running, stairs, up', '15.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12180', 'running, on a track, team practice', '10.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12190', 'running, training, pushing a wheelchair or baby carrier', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('12200', 'running, marathon', '13.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('13000', 'getting ready for bed, general, standing', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('13009', 'sitting on toilet, eliminating while standing or squating', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('13010', 'bathing, sitting', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('13020', 'dressing, undressing, standing or sitting', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('13030', 'eating, sitting', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('13035', 'talking and eating or eating only, standing', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('13036', 'taking medication, sitting or standing', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('13040', 'grooming, washing hands, shaving, brushing teeth, putting on make-up, sitting or standing', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('13045', 'hairstyling, standing', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('13046', 'having hair or nails done by someone else, sitting', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('13050', 'showering, toweling off, standing', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('14010', 'active, vigorous effort', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('14020', 'general, moderate effort', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('14030', 'passive, light effort, kissing, hugging', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15000', 'Alaska Native Games, Eskimo Olympics, general', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15010', 'archery, non-hunting', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15020', 'badminton, competitive (Taylor Code 450)', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15030', 'badminton, social singles and doubles, general', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15040', 'basketball, game (Taylor Code 490)', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15050', 'basketball, non-game, general (Taylor Code 480)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15055', 'basketball, general', '6.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15060', 'basketball, officiating (Taylor Code 500)', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15070', 'basketball, shooting baskets', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15072', 'basketball, drills, practice', '9.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15075', 'basketball, wheelchair', '7.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15080', 'billiards', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15090', 'bowling (Taylor Code 390)', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15092', 'bowling, indoor, bowling alley', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15100', 'boxing, in ring, general', '12.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15110', 'boxing, punching bag', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15120', 'boxing, sparring', '7.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15130', 'broomball', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15135', 'children\u2019s games, adults playing (e.g., hopscotch, 4-square, dodgeball, playground apparatus, t-ball, tetherball, marbles, arcade games), moderate effort', '5.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15138', 'cheerleading, gymnastic moves, competitive', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15140', 'coaching, football, soccer, basketball, baseball, swimming, etc.', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15142', 'coaching, actively playing sport with players', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15150', 'cricket, batting, bowling, fielding', '4.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15160', 'croquet', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15170', 'curling', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15180', 'darts, wall or lawn', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15190', 'drag racing, pushing or driving a car', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15192', 'auto racing, open wheel', '8.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15200', 'fencing', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15210', 'football, competitive', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15230', 'football, touch, flag, general (Taylor Code 510)', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15232', 'football, touch, flag, light effort', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15235', 'football or baseball, playing catch', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15240', 'frisbee playing, general', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15250', 'frisbee, ultimate', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15255', 'golf, general', '4.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15265', 'golf, walking, carrying clubs', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15270', 'golf, miniature, driving range', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15285', 'golf, walking, pulling clubs', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15290', 'golf, using power cart (Taylor Code 070)', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15300', 'gymnastics, general', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15310', 'hacky sack', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15320', 'handball, general (Taylor Code 520)', '12.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15330', 'handball, team', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15335', 'high ropes course, multiple elements', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15340', 'hang gliding', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15350', 'hockey, field', '7.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15360', 'hockey, ice, general', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15362', 'hockey, ice, competitive', '10.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15370', 'horseback riding, general', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15375', 'horse chores, feeding, watering, cleaning stalls, implied walking and lifting loads', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15380', 'saddling, cleaning, grooming, harnessing and unharnessing horse', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15390', 'horseback riding, trotting', '5.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15395', 'horseback riding, canter or gallop', '7.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15400', 'horseback riding,walking', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15402', 'horseback riding, jumping', '9.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15408', 'horse cart, driving, standing or sitting', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15410', 'horseshoe pitching, quoits', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15420', 'jai alai', '12.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15425', 'martial arts, different types, slower pace, novice performers, practice', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15430', 'martial arts, different types, moderate pace (e.g., judo, jujitsu, karate, kick boxing, tae kwan do, tai-bo, Muay Thai boxing)', '10.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15440', 'juggling', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15450', 'kickball', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15460', 'lacrosse', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15465', 'lawn bowling, bocce ball, outdoor', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15470', 'moto-cross, off-road motor sports, all-terrain vehicle, general', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15480', 'orienteering', '9.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15490', 'paddleball, competitive', '10.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15500', 'paddleball, casual, general (Taylor Code 460)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15510', 'polo, on horseback', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15520', 'racquetball, competitive', '10.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15530', 'racquetball, general (Taylor Code 470)', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15533', 'rock or mountain climbing (Taylor Code 470) (Formerly code = 17120)', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15535', 'rock climbing, ascending rock, high difficulty', '7.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15537', 'rock climbing, ascending or traversing rock, low-to-moderate difficulty', '5.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15540', 'rock climbing, rappelling', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15542', 'rodeo sports, general, light effort', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15544', 'rodeo sports, general, moderate effort', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15546', 'rodeo sports, general, vigorous effort', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15550', 'rope jumping, fast pace, 120-160 skips/min', '12.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15551', 'rope jumping, moderate pace, 100-120 skips/min, general, 2 foot skip, plain bounce', '11.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15552', 'rope jumping, slow pace, < 100 skips/min, 2 foot skip, rhythm bounce', '8.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15560', 'rugby, union, team, competitive', '8.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15562', 'rugby, touch, non-competitive', '6.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15570', 'shuffleboard', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15580', 'skateboarding, general, moderate effort', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15582', 'skateboarding, competitive, vigorous effort', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15590', 'skating, roller (Taylor Code 360)', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15591', 'rollerblading, in-line skating, 14.4 km/h (9.0 mph), recreational pace', '7.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15592', 'rollerblading, in-line skating, 17.7 km/h (11.0 mph), moderate pace, exercise training', '9.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15593', 'rollerblading, in-line skating, 21.0 to 21.7 km/h (13.0 to 13.6 mph), fast pace, exercise training', '12.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15594', 'rollerblading, in-line skating, 24.0 km/h (15.0 mph), maximal effort', '14.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15600', 'skydiving, base jumping, bungee jumping', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15605', 'soccer, competitive', '10.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15610', 'soccer, casual, general (Taylor Code 540)', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15620', 'softball or baseball, fast or slow pitch, general (Taylor Code 440)', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15625', 'softball, practice', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15630', 'softball, officiating', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15640', 'softball,pitching', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15645', 'sports spectator, very excited, emotional, physically moving', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15650', 'squash (Taylor Code 530)', '12.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15652', 'squash, general', '7.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15660', 'table tennis, ping pong (Taylor Code 410)', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15670', 'tai chi, qi gong, general', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15672', 'tai chi, qi gong, sitting, light effort', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15675', 'tennis, general', '7.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15680', 'tennis, doubles (Taylor Code 430)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15685', 'tennis, doubles', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15690', 'tennis, singles (Taylor Code 420)', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15695', 'tennis, hitting balls, non-game play, moderate effort', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15700', 'trampoline, recreational', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15702', 'trampoline, competitive', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15710', 'volleyball (Taylor Code 400)', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15711', 'volleyball, competitive, in gymnasium', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15720', 'volleyball, non-competitive, 6 - 9 member team, general', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15725', 'volleyball, beach, in sand', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15730', 'wrestling (one match = 5 minutes)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15731', 'wallyball, general', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15732', 'track and field (e.g., shot, discus, hammer throw)', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15733', 'track and field (e.g., high jump, long jump, triple jump, javelin, pole vault)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('15734', 'track and field (e.g., steeplechase, hurdles)', '10.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('16010', 'automobile or light truck (not a semi) driving', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('16015', 'riding in a car or truck', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('16016', 'riding in a bus or train', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('16020', 'flying airplane or helicopter', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('16030', 'motor scooter, motorcycle', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('16035', 'pulling rickshaw', '6.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('16040', 'pushing plane in and out of hangar', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('16050', 'truck, semi, tractor, > 1 ton, or bus, driving', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('16060', 'walking for transportation, 2.8-3.2 mph, level, moderate pace, firm surface', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17010', 'backpacking (Taylor Code 050)', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17012', 'backpacking, hiking or organized walking with a daypack', '7.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17020', 'carrying 15 pound load (e.g. suitcase), level ground or downstairs', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17021', 'carrying 15 lb child, slow walking', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17025', 'carrying load upstairs, general', '8.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17026', 'carrying 1 to 15 lb load, upstairs', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17027', 'carrying 16 to 24 lb load, upstairs', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17028', 'carrying 25 to 49 lb load, upstairs', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17029', 'carrying 50 to 74 lb load, upstairs', '10.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17030', 'carrying > 74 lb load, upstairs', '12.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17031', 'loading /unloading a car, implied walking', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17033', 'climbing hills, no load', '6.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17035', 'climbing hills with 0 to 9 lb load', '6.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17040', 'climbing hills with 10 to 20 lb load', '7.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17050', 'climbing hills with 21 to 42 lb load', '8.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17060', 'climbing hills with 42+ lb load', '9.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17070', 'descending stairs', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17080', 'hiking, cross country (Taylor Code 040)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17082', 'hiking or walking at a normal pace through fields and hillsides', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17085', 'bird watching, slow walk', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17088', 'marching, moderate speed, military, no pack', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17090', 'marching rapidly, military, no pack', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17100', 'pushing or pulling stroller with child or walking with children, 2.5 to 3.1 mph', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17105', 'pushing a wheelchair, non-occupational', '3.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17110', 'race walking', '6.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17130', 'stair climbing, using or climbing up ladder (Taylor Code 030)', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17133', 'stair climbing, slow pace', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17134', 'stair climbing, fast pace', '8.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17140', 'using crutches', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17150', 'walking, household', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17151', 'walking, less than 2.0 mph, level, strolling, very slow', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17152', 'walking, 2.0 mph, level, slow pace, firm surface', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17160', 'walking for pleasure (Taylor Code 010)', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17161', 'walking from house to car or bus, from car or bus to go places, from car or bus to and from the worksite', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17162', 'walking to neighbor\u2019s house or family\u2019s house for social reasons', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17165', 'walking the dog', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17170', 'walking, 2.5 mph, level, firm surface', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17180', 'walking, 2.5 mph, downhill', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17190', 'walking, 2.8 to 3.2 mph, level, moderate pace, firm surface', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17200', 'walking, 3.5 mph, level, brisk, firm surface, walking for exercise', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17210', 'walking, 2.9 to 3.5 mph, uphill, 1 to 5% grade', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17211', 'walking, 2.9 to 3.5 mph, uphill, 6% to 15% grade', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17220', 'walking, 4.0 mph, level, firm surface, very brisk pace', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17230', 'walking, 4.5 mph, level, firm surface, very, very brisk', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17231', 'walking, 5.0 mph, level, firm surface', '8.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17235', 'walking, 5.0 mph, uphill, 3% grade', '9.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17250', 'walking, for pleasure, work break', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17260', 'walking, grass track', '4.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17262', 'walking, normal pace, plowed field or sand', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17270', 'walking, to work or class (Taylor Code 015)', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17280', 'walking, to and from an outhouse', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17302', 'walking, for exercise, 3.5 to 4 mph, with ski poles, Nordic walking, level, moderate pace', '4.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17305', 'walking, for exercise, 5.0 mph, with ski poles, Nordic walking, level, fast pace', '9.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17310', 'walking, for exercise, with ski poles, Nordic walking, uphill', '6.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17320', 'walking, backwards, 3.5 mph, level', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('17325', 'walking, backwards, 3.5 mph, uphill, 5% grade', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18010', 'boating, power, driving', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18012', 'boating, power, passenger, light', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18020', 'canoeing, on camping trip (Taylor Code 270)', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18025', 'canoeing, harvesting wild rice, knocking rice off the stalks', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18030', 'canoeing, portaging', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18040', 'canoeing, rowing, 2.0-3.9 mph, light effort', '2.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18050', 'canoeing, rowing, 4.0-5.9 mph, moderate effort', '5.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18060', 'canoeing, rowing, kayaking, competition, >6 mph, vigorous effort', '12.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18070', 'canoeing, rowing, for pleasure, general (Taylor Code 250)', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18080', 'canoeing, rowing, in competition, or crew or sculling (Taylor Code 260)', '12.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18090', 'diving, springboard or platform', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18100', 'kayaking, moderate effort', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18110', 'paddle boat', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18120', 'sailing, boat and board sailing, windsurfing, ice sailing, general (Taylor Code 235)', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18130', 'sailing, in competition', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18140', 'sailing, Sunfish/Laser/Hobby Cat, Keel boats, ocean sailing, yachting, leisure', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18150', 'skiing, water or wakeboarding (Taylor Code 220)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18160', 'jet skiing, driving, in water', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18180', 'skindiving, fast', '15.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18190', 'skindiving, moderate', '11.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18200', 'skindiving, scuba diving, general (Taylor Code 310)', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18210', 'snorkeling (Taylor Code 310)', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18220', 'surfing, body or board, general', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18222', 'surfing, body or board, competitive', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18225', 'paddle boarding, standing', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18230', 'swimming laps, freestyle, fast, vigorous effort', '9.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18240', 'swimming laps, freestyle, front crawl, slow, light or moderate effort', '5.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18250', 'swimming, backstroke, general, training or competition', '9.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18255', 'swimming, backstroke, recreational', '4.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18260', 'swimming, breaststroke, general, training or competition', '10.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18265', 'swimming, breaststroke, recreational', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18270', 'swimming, butterfly, general', '13.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18280', 'swimming, crawl, fast speed, ~75 yards/minute, vigorous effort', '10.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18290', 'swimming, crawl, medium speed, ~50 yards/minute, vigorous effort', '8.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18300', 'swimming, lake, ocean, river (Taylor Codes 280, 295)', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18310', 'swimming, leisurely, not lap swimming, general', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18320', 'swimming, sidestroke, general', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18330', 'swimming, synchronized', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18340', 'swimming, treading water, fast, vigorous effort', '9.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18350', 'swimming, treading water, moderate effort, general', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18352', 'tubing, floating on a river, general', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18355', 'water aerobics, water calisthenics', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18360', 'water polo', '10.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18365', 'water volleyball', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18366', 'water jogging', '9.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18367', 'water walking, light effort, slow pace', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18368', 'water walking, moderate effort, moderate pace', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18369', 'water walking, vigorous effort, brisk pace', '6.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18370', 'whitewater rafting, kayaking, or canoeing', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18380', 'windsurfing, not pumping for speed', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18385', 'windsurfing or kitesurfing, crossing trial', '11.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('18390', 'windsurfing, competition, pumping for speed', '13.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19005', 'dog sledding, mushing', '7.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19006', 'dog sledding, passenger', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19010', 'moving ice house, set up/drill holes', '6.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19011', 'ice fishing, sitting', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19018', 'skating, ice dancing', '14.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19020', 'skating, ice, 9 mph or less', '5.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19030', 'skating, ice, general (Taylor Code 360)', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19040', 'skating, ice, rapidly, more than 9 mph, not competitive', '9.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19050', 'skating, speed, competitive', '13.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19060', 'ski jumping, climb up carrying skis', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19075', 'skiing, general', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19080', 'skiing, cross country, 2.5 mph, slow or light effort, ski walking', '6.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19090', 'skiing, cross country, 4.0-4.9 mph, moderate speed and effort, general', '9.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19100', 'skiing, cross country, 5.0-7.9 mph, brisk speed, vigorous effort', '12.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19110', 'skiing, cross country, >8.0 mph, elite skier, racing', '15.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19130', 'skiing, cross country, hard snow, uphill, maximum, snow mountaineering', '15.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19135', 'skiing, cross-country, skating', '13.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19140', 'skiing, cross-country, biathlon, skating technique', '13.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19150', 'skiing, downhill, alpine or snowboarding, light effort, active time only', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19160', 'skiing, downhill, alpine or snowboarding, moderate effort, general, active time only', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19170', 'skiing, downhill, vigorous effort, racing', '8.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19175', 'skiing, roller, elite racers', '12.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19180', 'sledding, tobogganing, bobsledding, luge (Taylor Code 370)', '7.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19190', 'snow shoeing, moderate effort', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19192', 'snow shoeing, vigorous effort', '10.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19200', 'snowmobiling, driving, moderate', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19202', 'snowmobiling, passenger', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19252', 'snow shoveling, by hand, moderate effort', '5.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19254', 'snow shoveling, by hand, vigorous effort', '7.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('19260', 'snow blower, walking and pushing', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20000', 'sitting in church, in service, attending a ceremony, sitting quietly', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20001', 'sitting, playing an instrument at church', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20005', 'sitting in church, talking or singing, attending a ceremony, sitting, active participation', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20010', 'sitting, reading religious materials at home', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20015', 'standing quietly in church, attending a ceremony', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20020', 'standing, singing in church, attending a ceremony, standing, active participation', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20025', 'kneeling in church or at home, praying', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20030', 'standing, talking in church', '1.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20035', 'walking in church', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20036', 'walking, less than 2.0 mph, very slow', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20037', 'walking, 3.0 mph, moderate speed, not carrying anything', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20038', 'walking, 3.5 mph, brisk speed, not carrying anything', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20039', 'walk/stand combination for religious purposes, usher', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20040', 'praise with dance or run, spiritual dancing in church', '5.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20045', 'serving food at church', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20046', 'preparing food at church', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20047', 'washing dishes, cleaning kitchen at church', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20050', 'eating at church', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20055', 'eating/talking at church or standing eating, American Indian Feast days', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20060', 'cleaning church', '3.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20061', 'general yard work at church', '4.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20065', 'standing, moderate effort (e.g., lifting heavy objects, assembling at fast rate)', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20095', 'Standing, moderate-to-heavy effort, manual labor, lifting ? 50 lbs, heavy maintenance', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('20100', 'typing, electric, manual, or computer', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21000', 'sitting, meeting, general, and/or with talking involved', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21005', 'sitting, light office work, in general', '1.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21010', 'sitting, moderate work', '2.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21015', 'standing, light work (filing, talking, assembling)', '2.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21016', 'sitting, child care, only active periods', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21017', 'standing, child care, only active periods', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21018', 'walk/run play with children, moderate, only active periods', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21019', 'walk/run play with children, vigorous, only active periods', '5.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21020', 'standing, light/moderate work (e.g., pack boxes, assemble/repair, set up chairs/furniture)', '3.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21025', 'standing, moderate (lifting 50 lbs., assembling at fast rate)', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21030', 'standing, moderate/heavy work', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21035', 'typing, electric, manual, or computer', '1.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21040', 'walking, less than 2.0 mph, very slow', '2.0');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21045', 'walking, 3.0 mph, moderate speed, not carrying anything', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21050', 'walking, 3.5 mph, brisk speed, not carrying anything', '4.3');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21055', 'walking, 2.5 mph slowly and carrying objects less than 25 lbs', '3.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21060', 'walking, 3.0 mph moderately and carrying objects less than 25 lbs, pushing something', '4.5');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21065', 'walking, 3.5 mph, briskly and carrying objects less than 25 lbs', '4.8');", None), ("INSERT INTO entries_PhysicalActivity (code, name, METS) VALUES ('21070', 'walk/stand combination, for volunteer purposes', '3.0');", None) ]) ]

149.536009

331

0.652581

15,432

126,657

5.302035

0.145347

0.100341

0.17058

0.331125

0.661114

0.648684

0.643356

0.639139

0.632478

0.624021

0

0.06264

0.185509

126,657

847

332

149.536009

0.730499

0.000537

0

1

0.977381

0.839683

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