Datasets:

ytzi

/

the-stack-dedup-python-scored

like 0

d99a1e98eccb58cbc0c0cef6e9e6702f33461b0e

py

Python

public_data/serializers.py

MTES-MCT/sparte

3b8ae6d21da81ca761d64ae9dfe2c8f54487211c

public_data/serializers.py

MTES-MCT/sparte

3b8ae6d21da81ca761d64ae9dfe2c8f54487211c

2022-02-10T11:47:58.000Z

2022-02-23T18:50:24.000Z

public_data/serializers.py

MTES-MCT/sparte

3b8ae6d21da81ca761d64ae9dfe2c8f54487211c

from rest_framework_gis import serializers from rest_framework import serializers as s from .models import ( Artificialisee2015to2018, Artificielle2018, CommunesSybarval, CouvertureSol, EnveloppeUrbaine2018, Ocsge, Renaturee2018to2015, Sybarval, Voirie2018, ZonesBaties2018, UsageSol, ) def get_label(code="", label=""): if code is None: code = "-" if label is None: label = "inconnu" return f"{code} {label[:30]}" class Artificialisee2015to2018Serializer(serializers.GeoFeatureModelSerializer): usage_2015 = s.SerializerMethodField() usage_2018 = s.SerializerMethodField() couverture_2015 = s.SerializerMethodField() couverture_2018 = s.SerializerMethodField() def get_usage_2015(self, obj): return get_label(code=obj.us_2015, label=obj.us_2015_label) def get_usage_2018(self, obj): return get_label(code=obj.us_2018, label=obj.us_2018_label) def get_couverture_2015(self, obj): return get_label(code=obj.cs_2015, label=obj.cs_2015_label) def get_couverture_2018(self, obj): return get_label(code=obj.cs_2018, label=obj.cs_2018_label) class Meta: fields = ( "id", "surface", "usage_2015", "usage_2018", "couverture_2015", "couverture_2018", ) geo_field = "mpoly" model = Artificialisee2015to2018 class Artificielle2018Serializer(serializers.GeoFeatureModelSerializer): couverture = s.SerializerMethodField() def get_couverture(self, obj): return get_label(code=obj.couverture, label=obj.couverture_label) class Meta: fields = ( "id", "surface", "couverture", ) geo_field = "mpoly" model = Artificielle2018 class CommunesSybarvalSerializer(serializers.GeoFeatureModelSerializer): """Marker GeoJSON serializer.""" class Meta: """Marker serializer meta class.""" fields = ( "nom", "code_insee", "surface", ) geo_field = "mpoly" model = CommunesSybarval class EnveloppeUrbaine2018Serializer(serializers.GeoFeatureModelSerializer): couverture = s.SerializerMethodField() def get_couverture(self, obj): return get_label(code=obj.couverture, label=obj.couverture_label) class Meta: fields = ( "id", "couverture", "surface", ) geo_field = "mpoly" model = EnveloppeUrbaine2018 class OcsgeSerializer(serializers.GeoFeatureModelSerializer): couverture = s.SerializerMethodField() usage = s.SerializerMethodField() def get_couverture(self, obj): return get_label(code=obj.couverture, label=obj.couverture_label) def get_usage(self, obj): return get_label(code=obj.usage, label=obj.usage_label) class Meta: fields = ( "id", "couverture", "usage", "millesime", "map_color", "year", ) geo_field = "mpoly" model = Ocsge class Renaturee2018to2015Serializer(serializers.GeoFeatureModelSerializer): usage_2015 = s.SerializerMethodField() usage_2018 = s.SerializerMethodField() couverture_2015 = s.SerializerMethodField() couverture_2018 = s.SerializerMethodField() def get_usage_2015(self, obj): return get_label(code=obj.us_2015, label=obj.us_2015_label) def get_usage_2018(self, obj): return get_label(code=obj.us_2018, label=obj.us_2018_label) def get_couverture_2015(self, obj): return get_label(code=obj.cs_2015, label=obj.cs_2015_label) def get_couverture_2018(self, obj): return get_label(code=obj.cs_2018, label=obj.cs_2018_label) class Meta: fields = ( "id", "surface", "usage_2015", "usage_2018", "couverture_2015", "couverture_2018", ) geo_field = "mpoly" model = Renaturee2018to2015 class SybarvalSerializer(serializers.GeoFeatureModelSerializer): class Meta: fields = ( "id", "surface", ) geo_field = "mpoly" model = Sybarval class Voirie2018Serializer(serializers.GeoFeatureModelSerializer): couverture = s.SerializerMethodField() usage = s.SerializerMethodField() def get_couverture(self, obj): return get_label(code=obj.couverture, label=obj.couverture_label) def get_usage(self, obj): return get_label(code=obj.usage, label=obj.usage_label) class Meta: fields = ( "id", "surface", "couverture", "usage", ) geo_field = "mpoly" model = Voirie2018 class ZonesBaties2018Serializer(serializers.GeoFeatureModelSerializer): couverture = s.SerializerMethodField() usage = s.SerializerMethodField() def get_couverture(self, obj): return get_label(code=obj.couverture, label=obj.couverture_label) def get_usage(self, obj): return get_label(code=obj.usage, label=obj.usage_label) class Meta: fields = ( "id", "couverture", "usage", "surface", ) geo_field = "mpoly" model = ZonesBaties2018 class CouvertureSolSerializer(serializers.ModelSerializer): class Meta: fields = ( "id", "parent", "code", "label", "is_artificial", ) model = CouvertureSol class UsageSolSerializer(serializers.ModelSerializer): class Meta: fields = ( "id", "parent", "code", "label", ) model = UsageSol

d99a20277c32bb1e28312f42ab6d732f38323169

py

Python

quick_search/admin.py

naman1901/django-quick-search

7b93554ed9fa4721e52372f9fd1a395d94cc04a7

quick_search/admin.py

naman1901/django-quick-search

7b93554ed9fa4721e52372f9fd1a395d94cc04a7

2020-02-11T23:28:22.000Z

2020-06-05T19:27:40.000Z

quick_search/admin.py

HereWithoutPermission/django-quick-search

7b93554ed9fa4721e52372f9fd1a395d94cc04a7

from django.contrib import admin from .models import SearchResult # Register your models here. class SearchResultAdmin(admin.ModelAdmin): fields = ["query", "heading", "url", "text"] admin.site.register(SearchResult, SearchResultAdmin)

d99b5ab0ec594ac30b1d197b23a5cda7c48151d5

py

Python

rasa/train.py

Amirali-Shirkh/rasa-for-botfront

36aa24ad31241c5d1a180bbe34e1c8c50da40ff7

rasa/train.py

Amirali-Shirkh/rasa-for-botfront

36aa24ad31241c5d1a180bbe34e1c8c50da40ff7

rasa/train.py

Amirali-Shirkh/rasa-for-botfront

36aa24ad31241c5d1a180bbe34e1c8c50da40ff7

import asyncio import os import tempfile from contextlib import ExitStack from typing import Text, Optional, List, Union, Dict from rasa.importers.importer import TrainingDataImporter from rasa import model from rasa.model import FingerprintComparisonResult from rasa.core.domain import Domain from rasa.utils.common import TempDirectoryPath from rasa.cli.utils import ( print_success, print_warning, print_error, bcolors, print_color, ) from rasa.constants import DEFAULT_MODELS_PATH, DEFAULT_CORE_SUBDIRECTORY_NAME def train( domain: Text, config: Text, training_files: Union[Text, List[Text]], output: Text = DEFAULT_MODELS_PATH, force_training: bool = False, fixed_model_name: Optional[Text] = None, persist_nlu_training_data: bool = False, additional_arguments: Optional[Dict] = None, loop: Optional[asyncio.AbstractEventLoop] = None, ) -> Optional[Text]: if loop is None: try: loop = asyncio.get_event_loop() except RuntimeError: loop = asyncio.new_event_loop() asyncio.set_event_loop(loop) return loop.run_until_complete( train_async( domain=domain, config=config, training_files=training_files, output_path=output, force_training=force_training, fixed_model_name=fixed_model_name, persist_nlu_training_data=persist_nlu_training_data, additional_arguments=additional_arguments, ) ) async def train_async( domain: Union[Domain, Text], config: Dict[Text, Text], training_files: Optional[Union[Text, List[Text]]], output_path: Text = DEFAULT_MODELS_PATH, force_training: bool = False, fixed_model_name: Optional[Text] = None, persist_nlu_training_data: bool = False, additional_arguments: Optional[Dict] = None, ) -> Optional[Text]: """Trains a Rasa model (Core and NLU). Args: domain: Path to the domain file. config: Dict of paths to the config for Core and NLU. Keys are language codes training_files: Paths to the training data for Core and NLU. output_path: Output path. force_training: If `True` retrain model even if data has not changed. fixed_model_name: Name of model to be stored. persist_nlu_training_data: `True` if the NLU training data should be persisted with the model. additional_arguments: Additional training parameters. Returns: Path of the trained model archive. """ # file_importer = TrainingDataImporter.load_from_config( # config, domain, training_files # ) with ExitStack() as stack: train_path = stack.enter_context(TempDirectoryPath(tempfile.mkdtemp())) # bf mod from rasa_addons.importers import BotfrontFileImporter file_importer = BotfrontFileImporter(config, domain, training_files) # domain = await file_importer.get_domain() # if domain.is_empty(): # return await handle_domain_if_not_exists( # file_importer, output_path, fixed_model_name # ) # /bf mod return await _train_async_internal( file_importer, train_path, output_path, force_training, fixed_model_name, persist_nlu_training_data, additional_arguments, ) async def handle_domain_if_not_exists( file_importer: TrainingDataImporter, output_path, fixed_model_name ): nlu_model_only = await _train_nlu_with_validated_data( file_importer, output=output_path, fixed_model_name=fixed_model_name ) print_warning( "Core training was skipped because no valid domain file was found. Only an nlu-model was created." "Please specify a valid domain using '--domain' argument or check if the provided domain file exists." ) return nlu_model_only async def _train_async_internal( file_importer: TrainingDataImporter, train_path: Text, output_path: Text, force_training: bool, fixed_model_name: Optional[Text], persist_nlu_training_data: bool, additional_arguments: Optional[Dict], ) -> Optional[Text]: """Trains a Rasa model (Core and NLU). Use only from `train_async`. Args: file_importer: `TrainingDataImporter` which supplies the training data. train_path: Directory in which to train the model. output_path: Output path. force_training: If `True` retrain model even if data has not changed. persist_nlu_training_data: `True` if the NLU training data should be persisted with the model. fixed_model_name: Name of model to be stored. additional_arguments: Additional training parameters. Returns: Path of the trained model archive. """ stories, nlu_data = await asyncio.gather( file_importer.get_stories(), file_importer.get_nlu_data() ) # if stories.is_empty() and nlu_data.is_empty(): # print_error( # "No training data given. Please provide stories and NLU data in " # "order to train a Rasa model using the '--data' argument." # ) # return # if nlu_data.is_empty(): # print_warning("No NLU data present. Just a Rasa Core model will be trained.") # return await _train_core_with_validated_data( # file_importer, # output=output_path, # fixed_model_name=fixed_model_name, # additional_arguments=additional_arguments, # ) new_fingerprint = await model.model_fingerprint(file_importer) old_model = model.get_latest_model(output_path) fingerprint_comparison = FingerprintComparisonResult(force_training=force_training) if not force_training: fingerprint_comparison = model.should_retrain( new_fingerprint, old_model, train_path ) # bf mod > if fingerprint_comparison.nlu == True: # replace True with list of all langs fingerprint_comparison.nlu = list(new_fingerprint.get("nlu-config", {}).keys()) domain = await file_importer.get_domain() core_untrainable = domain.is_empty() or stories.is_empty() nlu_untrainable = [l for l, d in nlu_data.items() if d.is_empty()] fingerprint_comparison.core = fingerprint_comparison.core and not core_untrainable fingerprint_comparison.nlu = [l for l in fingerprint_comparison.nlu if l not in nlu_untrainable] if core_untrainable: print_color("Skipping Core training since domain or stories are empty.", color=bcolors.OKBLUE) for lang in nlu_untrainable: print_color("No NLU data found for language <{}>, skipping training...".format(lang), color=bcolors.OKBLUE) # </ bf mod if fingerprint_comparison.is_training_required(): await _do_training( file_importer, output_path=output_path, train_path=train_path, fingerprint_comparison_result=fingerprint_comparison, fixed_model_name=fixed_model_name, persist_nlu_training_data=persist_nlu_training_data, additional_arguments=additional_arguments, ) return model.package_model( fingerprint=new_fingerprint, output_directory=output_path, train_path=train_path, fixed_model_name=fixed_model_name, ) print_success( "Nothing changed. You can use the old model stored at '{}'." "".format(os.path.abspath(old_model)) ) return old_model async def _do_training( file_importer: TrainingDataImporter, output_path: Text, train_path: Text, fingerprint_comparison_result: Optional[FingerprintComparisonResult] = None, fixed_model_name: Optional[Text] = None, persist_nlu_training_data: bool = False, additional_arguments: Optional[Dict] = None, ): if not fingerprint_comparison_result: fingerprint_comparison_result = FingerprintComparisonResult() if fingerprint_comparison_result.should_retrain_core(): await _train_core_with_validated_data( file_importer, output=output_path, train_path=train_path, fixed_model_name=fixed_model_name, additional_arguments=additional_arguments, ) elif fingerprint_comparison_result.should_retrain_nlg(): print_color( "Core stories/configuration did not change. " "Only the templates section has been changed. A new model with " "the updated templates will be created.", color=bcolors.OKBLUE, ) await model.update_model_with_new_domain(file_importer, train_path) else: print_color( "Core stories/configuration did not change. No need to retrain Core model.", color=bcolors.OKBLUE, ) if fingerprint_comparison_result.should_retrain_nlu(): await _train_nlu_with_validated_data( file_importer, output=output_path, train_path=train_path, fixed_model_name=fixed_model_name, retrain_nlu=fingerprint_comparison_result.nlu, persist_nlu_training_data=persist_nlu_training_data, ) else: print_color( "NLU data/configuration did not change. No need to retrain NLU model.", color=bcolors.OKBLUE, ) def train_core( domain: Union[Domain, Text], config: Text, stories: Text, output: Text, train_path: Optional[Text] = None, fixed_model_name: Optional[Text] = None, additional_arguments: Optional[Dict] = None, ) -> Optional[Text]: loop = asyncio.get_event_loop() return loop.run_until_complete( train_core_async( domain=domain, config=config, stories=stories, output=output, train_path=train_path, fixed_model_name=fixed_model_name, additional_arguments=additional_arguments, ) ) async def train_core_async( domain: Union[Domain, Text], config: Text, stories: Text, output: Text, train_path: Optional[Text] = None, fixed_model_name: Optional[Text] = None, additional_arguments: Optional[Dict] = None, ) -> Optional[Text]: """Trains a Core model. Args: domain: Path to the domain file. config: Path to the config file for Core. stories: Path to the Core training data. output: Output path. train_path: If `None` the model will be trained in a temporary directory, otherwise in the provided directory. fixed_model_name: Name of model to be stored. uncompress: If `True` the model will not be compressed. additional_arguments: Additional training parameters. Returns: If `train_path` is given it returns the path to the model archive, otherwise the path to the directory with the trained model files. """ file_importer = TrainingDataImporter.load_core_importer_from_config( config, domain, [stories] ) domain = await file_importer.get_domain() if domain.is_empty(): print_error( "Core training was skipped because no valid domain file was found. " "Please specify a valid domain using '--domain' argument or check if the provided domain file exists." ) return None if not await file_importer.get_stories(): print_error( "No stories given. Please provide stories in order to " "train a Rasa Core model using the '--stories' argument." ) return return await _train_core_with_validated_data( file_importer, output=output, train_path=train_path, fixed_model_name=fixed_model_name, additional_arguments=additional_arguments, ) async def _train_core_with_validated_data( file_importer: TrainingDataImporter, output: Text, train_path: Optional[Text] = None, fixed_model_name: Optional[Text] = None, additional_arguments: Optional[Dict] = None, ) -> Optional[Text]: """Train Core with validated training and config data.""" import rasa.core.train with ExitStack() as stack: if train_path: # If the train path was provided, do nothing on exit. _train_path = train_path else: # Otherwise, create a temp train path and clean it up on exit. _train_path = stack.enter_context(TempDirectoryPath(tempfile.mkdtemp())) # normal (not compare) training print_color("Training Core model...", color=bcolors.OKBLUE) domain, config = await asyncio.gather( file_importer.get_domain(), file_importer.get_config() ) await rasa.core.train( domain_file=domain, training_resource=file_importer, output_path=os.path.join(_train_path, DEFAULT_CORE_SUBDIRECTORY_NAME), policy_config=config, additional_arguments=additional_arguments, ) print_color("Core model training completed.", color=bcolors.OKBLUE) if train_path is None: # Only Core was trained. new_fingerprint = await model.model_fingerprint(file_importer) return model.package_model( fingerprint=new_fingerprint, output_directory=output, train_path=_train_path, fixed_model_name=fixed_model_name, model_prefix="core-", ) return _train_path def train_nlu( config: Text, nlu_data: Text, output: Text, train_path: Optional[Text] = None, fixed_model_name: Optional[Text] = None, persist_nlu_training_data: bool = False, ) -> Optional[Text]: """Trains an NLU model. Args: config: Path to the config file for NLU. nlu_data: Path to the NLU training data. output: Output path. train_path: If `None` the model will be trained in a temporary directory, otherwise in the provided directory. fixed_model_name: Name of the model to be stored. persist_nlu_training_data: `True` if the NLU training data should be persisted with the model. Returns: If `train_path` is given it returns the path to the model archive, otherwise the path to the directory with the trained model files. """ loop = asyncio.get_event_loop() return loop.run_until_complete( _train_nlu_async( config, nlu_data, output, train_path, fixed_model_name, persist_nlu_training_data, ) ) async def _train_nlu_async( config: Text, nlu_data: Text, output: Text, train_path: Optional[Text] = None, fixed_model_name: Optional[Text] = None, persist_nlu_training_data: bool = False, ): if not nlu_data: print_error( "No NLU data given. Please provide NLU data in order to train " "a Rasa NLU model using the '--nlu' argument." ) return # training NLU only hence the training files still have to be selected file_importer = TrainingDataImporter.load_nlu_importer_from_config( config, training_data_paths=[nlu_data] ) training_datas = await file_importer.get_nlu_data() if training_datas.is_empty(): print_error( f"Path '{nlu_data}' doesn't contain valid NLU data in it. " "Please verify the data format. " "The NLU model training will be skipped now." ) return return await _train_nlu_with_validated_data( file_importer, output=output, train_path=train_path, fixed_model_name=fixed_model_name, persist_nlu_training_data=persist_nlu_training_data, ) async def _train_nlu_with_validated_data( file_importer: TrainingDataImporter, output: Text, train_path: Optional[Text] = None, fixed_model_name: Optional[Text] = None, persist_nlu_training_data: bool = False, retrain_nlu: Union[bool, List[Text]] = True ) -> Optional[Text]: """Train NLU with validated training and config data.""" import rasa.nlu.train with ExitStack() as stack: models = {} from rasa.nlu import config as cfg_loader if train_path: # If the train path was provided, do nothing on exit. _train_path = train_path else: # Otherwise, create a temp train path and clean it up on exit. _train_path = stack.enter_context(TempDirectoryPath(tempfile.mkdtemp())) # bf mod config = await file_importer.get_nlu_config(retrain_nlu) for lang in config: if config[lang]: print_color("Start training {} NLU model ...".format(lang), color=bcolors.OKBLUE) _, models[lang], _ = await rasa.nlu.train( config[lang], file_importer, _train_path, fixed_model_name="nlu-{}".format(lang), persist_nlu_training_data=persist_nlu_training_data, ) else: print_color("NLU data for language <{}> didn't change, skipping training...".format(lang), color=bcolors.OKBLUE) # /bf mod print_color("NLU model training completed.", color=bcolors.OKBLUE) if train_path is None: # Only NLU was trained new_fingerprint = await model.model_fingerprint(file_importer) return model.package_model( fingerprint=new_fingerprint, output_directory=output, train_path=_train_path, fixed_model_name=fixed_model_name, model_prefix="nlu-", ) return _train_path

d99e8a9a95f28da6c2d4d1ee42e95a270ab08977

py

Python

coding_intereview/1475. Final Prices With a Special Discount in a Shop.py

Jahidul007/Python-Bootcamp

3c870587465ff66c2c1871c8d3c4eea72463abda

2020-12-07T16:07:07.000Z

2020-12-07T16:08:53.000Z

coding_intereview/1475. Final Prices With a Special Discount in a Shop.py

purusharthmalik/Python-Bootcamp

2ed1cf886d1081de200b0fdd4cb4e28008c7e3d1

coding_intereview/1475. Final Prices With a Special Discount in a Shop.py

purusharthmalik/Python-Bootcamp

2ed1cf886d1081de200b0fdd4cb4e28008c7e3d1

2020-10-03T16:38:02.000Z

2020-10-03T16:38:02.000Z

class Solution: def finalPrices(self, prices: List[int]) -> List[int]: res = [] for i in range(len(prices)): for j in range(i+1,len(prices)): if prices[j]<=prices[i]: res.append(prices[i]-prices[j]) break if j==len(prices)-1: res.append(prices[i]) res.append(prices[-1]) return res

d99ed7256245422c7c5dd3c60b0661e4f78183ea

py

Python

rplugin/python3/denite/ui/default.py

timgates42/denite.nvim

12a9b5456f5a4600afeb0ba284ce1098bd35e501

rplugin/python3/denite/ui/default.py

timgates42/denite.nvim

12a9b5456f5a4600afeb0ba284ce1098bd35e501

rplugin/python3/denite/ui/default.py

timgates42/denite.nvim

12a9b5456f5a4600afeb0ba284ce1098bd35e501

# ============================================================================ # FILE: default.py # AUTHOR: Shougo Matsushita <Shougo.Matsu at gmail.com> # License: MIT license # ============================================================================ import re import typing from denite.util import echo, error, clearmatch, regex_convert_py_vim from denite.util import Nvim, UserContext, Candidates, Candidate from denite.parent import SyncParent class Default(object): @property def is_async(self) -> bool: return self._is_async def __init__(self, vim: Nvim) -> None: self._vim = vim self._denite: typing.Optional[SyncParent] = None self._selected_candidates: typing.List[int] = [] self._candidates: Candidates = [] self._cursor = 0 self._entire_len = 0 self._result: typing.List[typing.Any] = [] self._context: UserContext = {} self._bufnr = -1 self._winid = -1 self._winrestcmd = '' self._initialized = False self._winheight = 0 self._winwidth = 0 self._winminheight = -1 self._is_multi = False self._is_async = False self._matched_pattern = '' self._displayed_texts: typing.List[str] = [] self._statusline_sources = '' self._titlestring = '' self._ruler = False self._prev_action = '' self._prev_status: typing.Dict[str, typing.Any] = {} self._prev_curpos: typing.List[typing.Any] = [] self._save_window_options: typing.Dict[str, typing.Any] = {} self._sources_history: typing.List[typing.Any] = [] self._previous_text = '' self._floating = False self._filter_floating = False self._updated = False self._timers: typing.Dict[str, int] = {} self._matched_range_id = -1 self._matched_char_id = -1 self._check_matchdelete = bool(self._vim.call( 'denite#util#check_matchdelete')) def start(self, sources: typing.List[typing.Any], context: UserContext) -> typing.List[typing.Any]: if not self._denite: # if hasattr(self._vim, 'run_coroutine'): # self._denite = ASyncParent(self._vim) # else: self._denite = SyncParent(self._vim) self._result = [] context['sources_queue'] = [sources] self._start_sources_queue(context) return self._result def do_action(self, action_name: str, command: str = '', is_manual: bool = False) -> None: if is_manual: candidates = self._get_selected_candidates() elif self._get_cursor_candidate(): candidates = [self._get_cursor_candidate()] else: candidates = [] if not self._denite or not candidates or not action_name: return self._prev_action = action_name action = self._denite.get_action( self._context, action_name, candidates) if not action: return post_action = self._context['post_action'] is_quit = action['is_quit'] or post_action == 'quit' if is_quit: self.quit() self._denite.do_action(self._context, action_name, candidates) self._result = candidates if command != '': self._vim.command(command) if is_quit and post_action == 'open': # Re-open denite buffer prev_cursor = self._cursor cursor_candidate = self._get_cursor_candidate() self._init_buffer() self.redraw(False) if cursor_candidate == self._get_candidate(prev_cursor): # Restore the cursor self._move_to_pos(prev_cursor) # Disable quit flag is_quit = False if not is_quit and is_manual: self._selected_candidates = [] self.redraw(action['is_redraw']) if is_manual and self._context['sources_queue']: self._context['input'] = '' self._context['quick_move'] = '' self._start_sources_queue(self._context) return def redraw(self, is_force: bool = True) -> None: self._context['is_redraw'] = is_force if is_force: self._gather_candidates() if self._update_candidates(): self._update_buffer() else: self._update_status() self._context['is_redraw'] = False def quit(self) -> None: if self._denite: self._denite.on_close(self._context) self._quit_buffer() self._result = [] return def _restart(self) -> None: self._context['input'] = '' self._quit_buffer() self._init_denite() self._gather_candidates() self._init_buffer() self._update_candidates() self._update_buffer() def _start_sources_queue(self, context: UserContext) -> None: if not context['sources_queue']: return self._sources_history.append({ 'sources': context['sources_queue'][0], 'path': context['path'], }) self._start(context['sources_queue'][0], context) if context['sources_queue']: context['sources_queue'].pop(0) context['path'] = self._context['path'] def _start(self, sources: typing.List[typing.Any], context: UserContext) -> None: from denite.ui.map import do_map self._vim.command('silent! autocmd! denite') if re.search(r'\[Command Line\]$', self._vim.current.buffer.name): # Ignore command line window. return resume = self._initialized and context['resume'] if resume: # Skip the initialization update = ('immediately', 'immediately_1', 'cursor_pos', 'prev_winid', 'start_filter', 'quick_move') for key in update: self._context[key] = context[key] self._check_move_option() if self._check_do_option(): return self._init_buffer() if context['refresh']: self.redraw() self._move_to_pos(self._cursor) else: if self._context != context: self._context.clear() self._context.update(context) self._context['sources'] = sources self._context['is_redraw'] = False self._is_multi = len(sources) > 1 if not sources: # Ignore empty sources. error(self._vim, 'Empty sources') return self._init_denite() self._gather_candidates() self._update_candidates() self._init_cursor() self._check_move_option() if self._check_do_option(): return self._init_buffer() self._update_displayed_texts() self._update_buffer() self._move_to_pos(self._cursor) if self._context['quick_move'] and do_map(self, 'quick_move', []): return if self._context['start_filter']: do_map(self, 'open_filter_buffer', []) def _init_buffer(self) -> None: self._prev_status = dict() self._displayed_texts = [] self._prev_bufnr = self._vim.current.buffer.number self._prev_curpos = self._vim.call('getcurpos') self._prev_wininfo = self._get_wininfo() self._prev_winid = self._context['prev_winid'] self._winrestcmd = self._vim.call('winrestcmd') self._ruler = self._vim.options['ruler'] self._switch_buffer() self._bufnr = self._vim.current.buffer.number self._winid = self._vim.call('win_getid') self._resize_buffer(True) self._winheight = self._vim.current.window.height self._winwidth = self._vim.current.window.width self._bufvars = self._vim.current.buffer.vars self._bufvars['denite'] = { 'buffer_name': self._context['buffer_name'], } self._bufvars['denite_statusline'] = {} self._vim.vars['denite#_previewed_buffers'] = {} self._save_window_options = {} window_options = { 'colorcolumn', 'concealcursor', 'conceallevel', 'cursorcolumn', 'cursorline', 'foldcolumn', 'foldenable', 'list', 'number', 'relativenumber', 'signcolumn', 'spell', 'winfixheight', 'wrap', } for k in window_options: self._save_window_options[k] = self._vim.current.window.options[k] # Note: Have to use setlocal instead of "current.window.options" # "current.window.options" changes global value instead of local in # neovim. self._vim.command('setlocal colorcolumn=') self._vim.command('setlocal conceallevel=3') self._vim.command('setlocal concealcursor=inv') self._vim.command('setlocal nocursorcolumn') self._vim.command('setlocal nofoldenable') self._vim.command('setlocal foldcolumn=0') self._vim.command('setlocal nolist') self._vim.command('setlocal nonumber') self._vim.command('setlocal norelativenumber') self._vim.command('setlocal nospell') self._vim.command('setlocal winfixheight') self._vim.command('setlocal nowrap') if self._context['prompt']: self._vim.command('setlocal signcolumn=yes') else: self._vim.command('setlocal signcolumn=auto') if self._context['cursorline']: self._vim.command('setlocal cursorline') options = self._vim.current.buffer.options if self._floating: # Disable ruler self._vim.options['ruler'] = False options['buftype'] = 'nofile' options['bufhidden'] = 'delete' options['swapfile'] = False options['buflisted'] = False options['modeline'] = False options['modifiable'] = False options['filetype'] = 'denite' if self._vim.call('exists', '#WinEnter'): self._vim.command('doautocmd WinEnter') if self._vim.call('exists', '#BufWinEnter'): self._vim.command('doautocmd BufWinEnter') if not self._vim.call('has', 'nvim'): # In Vim8, FileType autocmd is not fired after set filetype option. self._vim.command('silent doautocmd FileType denite') if self._context['auto_action']: self._vim.command('autocmd denite ' 'CursorMoved <buffer> ' 'call denite#call_map("auto_action")') self._init_syntax() def _switch_buffer(self) -> None: split = self._context['split'] if (split != 'no' and self._winid > 0 and self._vim.call('win_gotoid', self._winid)): if split != 'vertical' and not self._floating: # Move the window to bottom self._vim.command('wincmd J') self._winrestcmd = '' return self._floating = split in [ 'floating', 'floating_relative_cursor', 'floating_relative_window', ] self._filter_floating = False if self._vim.current.buffer.options['filetype'] != 'denite': self._titlestring = self._vim.options['titlestring'] command = 'edit' if split == 'tab': self._vim.command('tabnew') elif self._floating: self._split_floating(split) elif self._context['filter_split_direction'] == 'floating': self._filter_floating = True elif split != 'no': command = self._get_direction() command += ' vsplit' if split == 'vertical' else ' split' bufname = '[denite]-' + self._context['buffer_name'] if self._vim.call('exists', '*bufadd'): bufnr = self._vim.call('bufadd', bufname) vertical = 'vertical' if split == 'vertical' else '' command = ( 'buffer' if split in ['no', 'tab', 'floating', 'floating_relative_window', 'floating_relative_cursor'] else 'sbuffer') self._vim.command( 'silent keepalt %s %s %s %s' % ( self._get_direction(), vertical, command, bufnr, ) ) else: self._vim.call( 'denite#util#execute_path', f'silent keepalt {command}', bufname) def _get_direction(self) -> str: direction = str(self._context['direction']) if direction == 'dynamictop' or direction == 'dynamicbottom': self._update_displayed_texts() winwidth = self._vim.call('winwidth', 0) is_fit = not [x for x in self._displayed_texts if self._vim.call('strwidth', x) > winwidth] if direction == 'dynamictop': direction = 'aboveleft' if is_fit else 'topleft' else: direction = 'belowright' if is_fit else 'botright' return direction def _get_wininfo(self) -> typing.List[typing.Any]: return [ self._vim.options['columns'], self._vim.options['lines'], self._vim.call('win_getid'), self._vim.call('tabpagebuflist') ] def _switch_prev_buffer(self) -> None: if (self._prev_bufnr == self._bufnr or self._vim.buffers[self._prev_bufnr].name == ''): self._vim.command('enew') else: self._vim.command('buffer ' + str(self._prev_bufnr)) def _init_syntax(self) -> None: self._vim.command('syntax case ignore') self._vim.command('highlight default link deniteInput ModeMsg') self._vim.command('highlight link deniteMatchedRange ' + self._context['highlight_matched_range']) self._vim.command('highlight link deniteMatchedChar ' + self._context['highlight_matched_char']) self._vim.command('highlight default link ' + 'deniteStatusLinePath Comment') self._vim.command('highlight default link ' + 'deniteStatusLineNumber LineNR') self._vim.command('highlight default link ' + 'deniteSelectedLine Statement') if self._floating: self._vim.current.window.options['winhighlight'] = ( 'Normal:' + self._context['highlight_window_background'] ) self._vim.command(('syntax match deniteSelectedLine /^[%s].*/' + ' contains=deniteConcealedMark') % ( self._context['selected_icon'])) self._vim.command(('syntax match deniteConcealedMark /^[ %s]/' + ' conceal contained') % ( self._context['selected_icon'])) if self._denite: self._denite.init_syntax(self._context, self._is_multi) def _update_candidates(self) -> bool: if not self._denite: return False [self._is_async, pattern, statuses, self._entire_len, self._candidates] = self._denite.filter_candidates(self._context) prev_displayed_texts = self._displayed_texts self._update_displayed_texts() prev_matched_pattern = self._matched_pattern self._matched_pattern = pattern prev_statusline_sources = self._statusline_sources self._statusline_sources = ' '.join(statuses) if self._is_async: self._start_timer('update_candidates') else: self._stop_timer('update_candidates') updated = (self._displayed_texts != prev_displayed_texts or self._matched_pattern != prev_matched_pattern or self._statusline_sources != prev_statusline_sources) if updated: self._updated = True self._start_timer('update_buffer') if self._context['search'] and self._context['input']: self._vim.call('setreg', '/', self._context['input']) return self._updated def _update_displayed_texts(self) -> None: candidates_len = len(self._candidates) if not self._is_async and self._context['auto_resize']: winminheight = self._context['winminheight'] max_height = min(self._context['winheight'], self._get_max_height()) if (winminheight != -1 and candidates_len < winminheight): self._winheight = winminheight elif candidates_len > max_height: self._winheight = max_height elif candidates_len != self._winheight: self._winheight = candidates_len max_source_name_len = 0 if self._candidates: max_source_name_len = max([ len(self._get_display_source_name(x['source_name'])) for x in self._candidates]) self._context['max_source_name_len'] = max_source_name_len self._context['max_source_name_format'] = ( '{:<' + str(self._context['max_source_name_len']) + '}') self._displayed_texts = [ self._get_candidate_display_text(i) for i in range(0, candidates_len) ] def _update_buffer(self) -> None: is_current_buffer = self._bufnr == self._vim.current.buffer.number self._update_status() if self._check_matchdelete and self._context['match_highlight']: matches = [x['id'] for x in self._vim.call('getmatches', self._winid)] if self._matched_range_id in matches: self._vim.call('matchdelete', self._matched_range_id, self._winid) self._matched_range_id = -1 if self._matched_char_id in matches: self._vim.call('matchdelete', self._matched_char_id, self._winid) self._matched_char_id = -1 if self._matched_pattern != '': self._matched_range_id = self._vim.call( 'matchadd', 'deniteMatchedRange', r'\c' + regex_convert_py_vim(self._matched_pattern), 10, -1, {'window': self._winid}) matched_char_pattern = '[{}]'.format(re.sub( r'([\[\]\\^-])', r'\\\1', self._context['input'].replace(' ', '') )) self._matched_char_id = self._vim.call( 'matchadd', 'deniteMatchedChar', matched_char_pattern, 10, -1, {'window': self._winid}) prev_linenr = self._vim.call('line', '.') prev_candidate = self._get_cursor_candidate() buffer = self._vim.buffers[self._bufnr] buffer.options['modifiable'] = True self._vim.vars['denite#_candidates'] = [ x['word'] for x in self._candidates] buffer[:] = self._displayed_texts buffer.options['modifiable'] = False self._previous_text = self._context['input'] self._resize_buffer(is_current_buffer) is_changed = (self._context['reversed'] or (is_current_buffer and self._previous_text != self._context['input'])) if self._updated and is_changed: if not is_current_buffer: save_winid = self._vim.call('win_getid') self._vim.call('win_gotoid', self._winid) self._init_cursor() self._move_to_pos(self._cursor) if not is_current_buffer: self._vim.call('win_gotoid', save_winid) elif is_current_buffer: self._vim.call('cursor', [prev_linenr, 0]) if is_current_buffer: if (self._context['auto_action'] and prev_candidate != self._get_cursor_candidate()): self.do_action(self._context['auto_action']) self._updated = False self._stop_timer('update_buffer') def _update_status(self) -> None: inpt = '' if self._context['input']: inpt = self._context['input'] + ' ' if self._context['error_messages']: inpt = '[ERROR] ' + inpt path = '[' + self._context['path'] + ']' status = { 'input': inpt, 'sources': self._statusline_sources, 'path': path, # Extra 'buffer_name': self._context['buffer_name'], 'line_total': len(self._candidates), } if status == self._prev_status: return self._bufvars['denite_statusline'] = status self._prev_status = status linenr = "printf('%'.(len(line('$'))+2).'d/%d',line('.'),line('$'))" if self._context['statusline']: if self._floating or self._filter_floating: self._vim.options['titlestring'] = ( "%{denite#get_status('input')}%* " + "%{denite#get_status('sources')} " + " %{denite#get_status('path')}%*" + "%{" + linenr + "}%*") else: winnr = self._vim.call('win_id2win', self._winid) self._vim.call('setwinvar', winnr, '&statusline', ( "%#deniteInput#%{denite#get_status('input')}%* " + "%{denite#get_status('sources')} %=" + "%#deniteStatusLinePath# %{denite#get_status('path')}%*" + "%#deniteStatusLineNumber#%{" + linenr + "}%*")) def _get_display_source_name(self, name: str) -> str: source_names = self._context['source_names'] if not self._is_multi or source_names == 'hide': source_name = '' else: short_name = (re.sub(r'([a-zA-Z])[a-zA-Z]+', r'\1', name) if re.search(r'[^a-zA-Z]', name) else name[:2]) source_name = short_name if source_names == 'short' else name return source_name def _get_candidate_display_text(self, index: int) -> str: source_names = self._context['source_names'] candidate = self._candidates[index] terms = [] if self._is_multi and source_names != 'hide': terms.append(self._context['max_source_name_format'].format( self._get_display_source_name(candidate['source_name']))) encoding = self._context['encoding'] abbr = candidate.get('abbr', candidate['word']).encode( encoding, errors='replace').decode(encoding, errors='replace') terms.append(abbr[:int(self._context['max_candidate_width'])]) return (str(self._context['selected_icon']) if index in self._selected_candidates else ' ') + ' '.join(terms).replace('\n', '') def _get_max_height(self) -> int: return int(self._vim.options['lines']) if not self._floating else ( int(self._vim.options['lines']) - int(self._context['winrow']) - int(self._vim.options['cmdheight'])) def _resize_buffer(self, is_current_buffer: bool) -> None: split = self._context['split'] if (split == 'no' or split == 'tab' or self._vim.call('winnr', '$') == 1): return winheight = max(self._winheight, 1) winwidth = max(self._winwidth, 1) is_vertical = split == 'vertical' if not is_current_buffer: restore = self._vim.call('win_getid') self._vim.call('win_gotoid', self._winid) if not is_vertical and self._vim.current.window.height != winheight: if self._floating: wincol = self._context['winrow'] row = wincol if split == 'floating': if self._context['auto_resize'] and row > 1: row += self._context['winheight'] row -= self._winheight self._vim.call('nvim_win_set_config', self._winid, { 'relative': 'editor', 'row': row, 'col': self._context['wincol'], 'width': winwidth, 'height': winheight, }) filter_row = 0 if wincol == 1 else row + winheight filter_col = self._context['wincol'] else: init_pos = self._vim.call('nvim_win_get_config', self._winid) self._vim.call('nvim_win_set_config', self._winid, { 'relative': 'win', 'win': init_pos['win'], 'row': init_pos['row'], 'col': init_pos['col'], 'width': winwidth, 'height': winheight, }) filter_col = init_pos['col'] if init_pos['anchor'] == 'NW': winpos = self._vim.call('nvim_win_get_position', self._winid) filter_row = winpos[0] + winheight filter_winid = self._vim.vars['denite#_filter_winid'] self._context['filter_winrow'] = row if self._vim.call('win_id2win', filter_winid) > 0: self._vim.call('nvim_win_set_config', filter_winid, { 'relative': 'editor', 'row': filter_row, 'col': filter_col, }) self._vim.command('resize ' + str(winheight)) if self._context['reversed']: self._vim.command('normal! zb') elif is_vertical and self._vim.current.window.width != winwidth: self._vim.command('vertical resize ' + str(winwidth)) if not is_current_buffer: self._vim.call('win_gotoid', restore) def _check_do_option(self) -> bool: if self._context['do'] != '': self._do_command(self._context['do']) return True elif (self._candidates and self._context['immediately'] or len(self._candidates) == 1 and self._context['immediately_1']): self._do_immediately() return True return not (self._context['empty'] or self._is_async or self._candidates) def _check_move_option(self) -> None: if self._context['cursor_pos'].isnumeric(): self._cursor = int(self._context['cursor_pos']) + 1 elif re.match(r'\+\d+', self._context['cursor_pos']): for _ in range(int(self._context['cursor_pos'][1:])): self._move_to_next_line() elif re.match(r'-\d+', self._context['cursor_pos']): for _ in range(int(self._context['cursor_pos'][1:])): self._move_to_prev_line() elif self._context['cursor_pos'] == '$': self._move_to_last_line() def _do_immediately(self) -> None: goto = self._winid > 0 and self._vim.call( 'win_gotoid', self._winid) if goto: # Jump to denite window self._init_buffer() self.do_action('default') candidate = self._get_cursor_candidate() if not candidate: return echo(self._vim, 'Normal', '[{}/{}] {}'.format( self._cursor, len(self._candidates), candidate.get('abbr', candidate['word']))) if goto: # Move to the previous window self._vim.command('wincmd p') def _do_command(self, command: str) -> None: self._init_cursor() cursor = 1 while cursor < len(self._candidates): self.do_action('default', command) self._move_to_next_line() self._quit_buffer() def _cleanup(self) -> None: self._stop_timer('update_candidates') self._stop_timer('update_buffer') if self._vim.current.buffer.number == self._bufnr: self._cursor = self._vim.call('line', '.') # Note: Close filter window before preview window self._vim.call('denite#filter#_close_filter_window') if not self._context['has_preview_window']: self._vim.command('pclose!') # Clear previewed buffers for bufnr in self._vim.vars['denite#_previewed_buffers'].keys(): if not self._vim.call('win_findbuf', bufnr): self._vim.command('silent bdelete ' + str(bufnr)) self._vim.vars['denite#_previewed_buffers'] = {} self._vim.command('highlight! link CursorLine CursorLine') if self._floating or self._filter_floating: self._vim.options['titlestring'] = self._titlestring self._vim.options['ruler'] = self._ruler def _close_current_window(self) -> None: if self._vim.call('winnr', '$') == 1: self._vim.command('buffer #') else: self._vim.command('close!') def _quit_buffer(self) -> None: self._cleanup() if self._vim.call('bufwinnr', self._bufnr) < 0: # Denite buffer is already closed return winids = self._vim.call('win_findbuf', self._vim.vars['denite#_filter_bufnr']) if winids: # Quit filter buffer self._vim.call('win_gotoid', winids[0]) self._close_current_window() # Move to denite window self._vim.call('win_gotoid', self._winid) # Restore the window if self._context['split'] == 'no': self._switch_prev_buffer() for k, v in self._save_window_options.items(): self._vim.current.window.options[k] = v else: if self._context['split'] == 'tab': self._vim.command('tabclose!') if self._context['split'] != 'tab': self._close_current_window() self._vim.call('win_gotoid', self._prev_winid) # Restore the position self._vim.call('setpos', '.', self._prev_curpos) if self._get_wininfo() and self._get_wininfo() == self._prev_wininfo: # Note: execute restcmd twice to restore layout properly self._vim.command(self._winrestcmd) self._vim.command(self._winrestcmd) clearmatch(self._vim) def _get_cursor_candidate(self) -> Candidate: return self._get_candidate(self._cursor) def _get_candidate(self, pos: int) -> Candidate: if not self._candidates or pos > len(self._candidates): return {} return self._candidates[pos - 1] def _get_selected_candidates(self) -> Candidates: if not self._selected_candidates: return [self._get_cursor_candidate() ] if self._get_cursor_candidate() else [] return [self._candidates[x] for x in self._selected_candidates] def _init_denite(self) -> None: if self._denite: self._denite.start(self._context) self._denite.on_init(self._context) self._initialized = True self._winheight = self._context['winheight'] self._winwidth = self._context['winwidth'] def _gather_candidates(self) -> None: self._selected_candidates = [] if self._denite: self._denite.gather_candidates(self._context) def _init_cursor(self) -> None: if self._context['reversed']: self._move_to_last_line() else: self._move_to_first_line() def _move_to_pos(self, pos: int) -> None: self._vim.call('cursor', pos, 0) self._cursor = pos if self._context['reversed']: self._vim.command('normal! zb') def _move_to_next_line(self) -> None: if self._cursor < len(self._candidates): self._cursor += 1 def _move_to_prev_line(self) -> None: if self._cursor >= 1: self._cursor -= 1 def _move_to_first_line(self) -> None: self._cursor = 1 def _move_to_last_line(self) -> None: self._cursor = len(self._candidates) def _start_timer(self, key: str) -> None: if key in self._timers: return if key == 'update_candidates': self._timers[key] = self._vim.call( 'denite#helper#_start_update_candidates_timer', self._bufnr) elif key == 'update_buffer': self._timers[key] = self._vim.call( 'denite#helper#_start_update_buffer_timer', self._bufnr) def _stop_timer(self, key: str) -> None: if key not in self._timers: return self._vim.call('timer_stop', self._timers[key]) # Note: After timer_stop is called, self._timers may be removed if key in self._timers: self._timers.pop(key) def _split_floating(self, split: str) -> None: # Use floating window if split == 'floating': self._vim.call( 'nvim_open_win', self._vim.call('bufnr', '%'), True, { 'relative': 'editor', 'row': self._context['winrow'], 'col': self._context['wincol'], 'width': self._context['winwidth'], 'height': self._context['winheight'], }) elif split == 'floating_relative_cursor': opened_pos = (self._vim.call('nvim_win_get_position', 0)[0] + self._vim.call('winline') - 1) if self._context['auto_resize']: height = max(self._winheight, 1) width = max(self._winwidth, 1) else: width = self._context['winwidth'] height = self._context['winheight'] if opened_pos + height + 3 > self._vim.options['lines']: anchor = 'SW' row = 0 self._context['filter_winrow'] = row + opened_pos else: anchor = 'NW' row = 1 self._context['filter_winrow'] = row + height + opened_pos self._vim.call( 'nvim_open_win', self._vim.call('bufnr', '%'), True, { 'relative': 'cursor', 'row': row, 'col': 0, 'width': width, 'height': height, 'anchor': anchor, }) elif split == 'floating_relative_window': self._vim.call( 'nvim_open_win', self._vim.call('bufnr', '%'), True, { 'relative': 'win', 'row': self._context['winrow'], 'col': self._context['wincol'], 'width': self._context['winwidth'], 'height': self._context['winheight'], })

d99f875863138f11af1d76f0c753c198ad6d96bd

py

Python

PyDSTool/core/context_managers.py

yuanz271/PyDSTool

886c143cdd192aea204285f3a1cb4968c763c646

PyDSTool/core/context_managers.py

yuanz271/PyDSTool

886c143cdd192aea204285f3a1cb4968c763c646

PyDSTool/core/context_managers.py

yuanz271/PyDSTool

886c143cdd192aea204285f3a1cb4968c763c646

# -*- coding: utf-8 -*- """Context managers implemented for (mostly) internal use""" import contextlib import functools from io import UnsupportedOperation import os import sys __all__ = ["RedirectStdout", "RedirectStderr"] @contextlib.contextmanager def _stdchannel_redirected(stdchannel, dest_filename, mode="w"): """ A context manager to temporarily redirect stdout or stderr Originally by Marc Abramowitz, 2013 (http://marc-abramowitz.com/archives/2013/07/19/python-context-manager-for-redirected-stdout-and-stderr/) """ oldstdchannel = None dest_file = None try: if stdchannel is None: yield iter([None]) else: oldstdchannel = os.dup(stdchannel.fileno()) dest_file = open(dest_filename, mode) os.dup2(dest_file.fileno(), stdchannel.fileno()) yield except (UnsupportedOperation, AttributeError): yield iter([None]) finally: if oldstdchannel is not None: os.dup2(oldstdchannel, stdchannel.fileno()) if dest_file is not None: dest_file.close() RedirectStdout = functools.partial(_stdchannel_redirected, sys.stdout) RedirectStderr = functools.partial(_stdchannel_redirected, sys.stderr) RedirectNoOp = functools.partial(_stdchannel_redirected, None, "")

d99ff34b5f61cee604590c456f40398d7da18182

py

Python

pos_kiosk/hooks.py

Muzzy73/pos_kiosk

1ed42cfaeb15f009293b76d05dd85bd322b42f03

2022-03-05T11:42:36.000Z

2022-03-05T11:42:36.000Z

pos_kiosk/hooks.py

Muzzy73/pos_kiosk

1ed42cfaeb15f009293b76d05dd85bd322b42f03

pos_kiosk/hooks.py

Muzzy73/pos_kiosk

1ed42cfaeb15f009293b76d05dd85bd322b42f03

2022-03-05T11:42:37.000Z

2022-03-05T11:42:37.000Z

# -*- coding: utf-8 -*- from __future__ import unicode_literals from . import __version__ as app_version app_name = "pos_kiosk" app_title = "Pos Kiosk" app_publisher = "9t9it" app_description = "Kiosk App" app_icon = "octicon octicon-file-directory" app_color = "grey" app_email = "info@9t9it.com" app_license = "MIT" # Includes in <head> # ------------------ # include js, css files in header of desk.html # app_include_css = "/assets/pos_kiosk/css/pos_kiosk.css" # app_include_js = "/assets/pos_kiosk/js/pos_kiosk.js" # include js, css files in header of web template # web_include_css = "/assets/pos_kiosk/css/pos_kiosk.css" # web_include_js = "/assets/pos_kiosk/js/pos_kiosk.js" # include js in page # page_js = {"page" : "public/js/file.js"} # page_js = { # "kiosk": ["public/js/pos_page_js.js", "public/js/includes/number_to_words.js"] # } # include js in doctype views # doctype_js = {"doctype" : "public/js/doctype.js"} # doctype_list_js = {"doctype" : "public/js/doctype_list.js"} # doctype_tree_js = {"doctype" : "public/js/doctype_tree.js"} # doctype_calendar_js = {"doctype" : "public/js/doctype_calendar.js"} fixtures = [ { "doctype": "Custom Field", "filters": [ [ "name", "in", [ "Sales Invoice Item-pos_kiosk", "Mode of Payment-logo" ] ] ] } ] # Home Pages # ---------- # application home page (will override Website Settings) # home_page = "login" # website user home page (by Role) # role_home_page = { # "Role": "home_page" # } # Website user home page (by function) # get_website_user_home_page = "pos_kiosk.utils.get_home_page" # Generators # ---------- # automatically create page for each record of this doctype # website_generators = ["Web Page"] # Installation # ------------ # before_install = "pos_kiosk.install.before_install" # after_install = "pos_kiosk.install.after_install" # Desk Notifications # ------------------ # See frappe.core.notifications.get_notification_config # notification_config = "pos_kiosk.notifications.get_notification_config" # Permissions # ----------- # Permissions evaluated in scripted ways # permission_query_conditions = { # "Event": "frappe.desk.doctype.event.event.get_permission_query_conditions", # } # # has_permission = { # "Event": "frappe.desk.doctype.event.event.has_permission", # } # Document Events # --------------- # Hook on document methods and events # doc_events = { # "*": { # "on_update": "method", # "on_cancel": "method", # "on_trash": "method" # } # } # Scheduled Tasks # --------------- # scheduler_events = { # "all": [ # "pos_kiosk.tasks.all" # ], # "daily": [ # "pos_kiosk.tasks.daily" # ], # "hourly": [ # "pos_kiosk.tasks.hourly" # ], # "weekly": [ # "pos_kiosk.tasks.weekly" # ] # "monthly": [ # "pos_kiosk.tasks.monthly" # ] # } # Testing # ------- # before_tests = "pos_kiosk.install.before_tests" # Overriding Whitelisted Methods # ------------------------------ # # override_whitelisted_methods = { # "pos_bahrain.api.get_item_details.get_item_details": "pos_kiosk.api.item.get_item_details" # noqa # }

d9a00b2c6f1a0e88ad5b4a7def2a45bd074f417f

py

Python

pypagai/models/model_lstm.py

gcouti/pypagAI

d08fac95361dcc036d890a88cb86ce090322a612

2018-07-24T18:53:26.000Z

2018-07-24T18:53:26.000Z

pypagai/models/model_lstm.py

gcouti/pypagAI

d08fac95361dcc036d890a88cb86ce090322a612

2020-01-28T21:45:14.000Z

2022-03-11T23:20:53.000Z

pypagai/models/model_lstm.py

gcouti/pypagAI

d08fac95361dcc036d890a88cb86ce090322a612

from keras import Model, Input from keras.layers import Dense, concatenate, LSTM, Reshape, Permute, Embedding, Dropout, Convolution1D, Flatten from keras.optimizers import Adam from pypagai.models.base import KerasModel class SimpleLSTM(KerasModel): """ Use a simple lstm neural network """ @staticmethod def default_config(): config = KerasModel.default_config() config['hidden'] = 32 return config def __init__(self, cfg): super().__init__(cfg) self._cfg_ = cfg def _create_network_(self): hidden = self._cfg_['hidden'] story = Input((self._story_maxlen, ), name='story') question = Input((self._query_maxlen, ), name='question') conc = concatenate([story, question],) conc = Reshape((1, int(conc.shape[1])))(conc) conc = Permute((2, 1))(conc) response = LSTM(hidden, dropout=0.2, recurrent_dropout=0.2)(conc) response = Dense(self._vocab_size, activation='softmax')(response) self._model = Model(inputs=[story, question], outputs=response) self._model.compile(optimizer=Adam(lr=2e-4), loss='sparse_categorical_crossentropy', metrics=['accuracy']) class EmbedLSTM(KerasModel): """ Use a simple lstm neural network """ @staticmethod def default_config(): config = KerasModel.default_config() config['hidden'] = 32 return config def __init__(self, cfg): super().__init__(cfg) self._cfg_ = cfg def _create_network_(self): hidden = self._cfg_['hidden'] story = Input((self._story_maxlen, ), name='story') question = Input((self._query_maxlen, ), name='question') eb_story = Embedding(self._vocab_size, 64)(story) eb_story = Dropout(0.3)(eb_story) eb_question = Embedding(self._vocab_size, 64)(question) eb_question = Dropout(0.3)(eb_question) conc = concatenate([eb_story, eb_question], axis=1) response = LSTM(hidden, dropout=0.2, recurrent_dropout=0.2)(conc) response = Dense(self._vocab_size, activation='softmax')(response) self._model = Model(inputs=[story, question], outputs=response) self._model.compile(optimizer=Adam(lr=2e-4), loss='sparse_categorical_crossentropy', metrics=['accuracy']) class ConvLSTM(KerasModel): """ Use a simple lstm neural network """ @staticmethod def default_config(): config = KerasModel.default_config() config['hidden'] = 32 return config def __init__(self, model_cfg): super().__init__(model_cfg) self._cfg = model_cfg def _create_network_(self): hidden = self._cfg['hidden'] story = Input((self._story_maxlen, ), name='story') question = Input((self._query_maxlen, ), name='question') eb_story = Embedding(self._vocab_size, 64)(story) eb_story = Convolution1D(64, 3, padding='same')(eb_story) eb_story = Convolution1D(32, 3, padding='same')(eb_story) eb_story = Convolution1D(16, 3, padding='same')(eb_story) # eb_story = Flatten()(eb_story) eb_question = Embedding(self._vocab_size, 64)(question) eb_question = Convolution1D(64, 3, padding='same')(eb_question) eb_question = Convolution1D(32, 3, padding='same')(eb_question) eb_question = Convolution1D(16, 3, padding='same')(eb_question) # eb_question = Flatten()(eb_question) conc = concatenate([eb_story, eb_question], axis=1) response = LSTM(hidden, dropout=0.2, recurrent_dropout=0.2)(conc) response = Dense(self._vocab_size, activation='softmax')(response) self._model = Model(inputs=[story, question], outputs=response) self._model.compile(optimizer=Adam(lr=2e-4), loss='sparse_categorical_crossentropy', metrics=['accuracy'])

d9a09cb6f497e8ccdf9de40f4b8ebd6b96a1c43a

py

Python

lib/variables/latent_variables/__init__.py

joelouismarino/variational_rl

11dc14bfb56f3ebbfccd5de206b78712a8039a9a

2020-10-20T22:09:36.000Z

2021-12-24T13:40:36.000Z

lib/variables/latent_variables/__init__.py

joelouismarino/variational_rl

11dc14bfb56f3ebbfccd5de206b78712a8039a9a

lib/variables/latent_variables/__init__.py

joelouismarino/variational_rl

11dc14bfb56f3ebbfccd5de206b78712a8039a9a

2020-10-23T19:48:06.000Z

2020-10-23T19:48:06.000Z

from .fully_connected import FullyConnectedLatentVariable from .convolutional import ConvolutionalLatentVariable

d9a0c8935f1da040f76922b94d20a857d8b8cd7d

py

Python

easyai/model/backbone/cls/pnasnet.py

lpj0822/image_point_cloud_det

7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f

2020-09-05T09:18:56.000Z

2020-09-05T09:18:56.000Z

easyai/model/backbone/cls/pnasnet.py

lpj0822/image_point_cloud_det

7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f

2020-04-20T02:18:55.000Z

2022-03-12T00:24:50.000Z

easyai/model/backbone/cls/pnasnet.py

lpj0822/image_point_cloud_det

7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f

#!/usr/bin/env python # -*- coding:utf-8 -*- # Author: ''' PNASNet in PyTorch. Paper: Progressive Neural Architecture Search ''' from easyai.base_name.block_name import NormalizationType, ActivationType from easyai.base_name.backbone_name import BackboneName from easyai.model.backbone.utility.base_backbone import * from easyai.model.base_block.utility.utility_block import ConvBNActivationBlock from easyai.model.base_block.cls.pnasnet_block import CellA, CellB __all__ = ['pnasnet_A', 'pnasnet_B'] class PNASNet(BaseBackbone): def __init__(self, data_channel=3, num_cells=6, num_planes=44, block=CellA, bnName=NormalizationType.BatchNormalize2d, activationName=ActivationType.ReLU): super().__init__() self.set_name(BackboneName.PNASNetA) self.data_channel = data_channel self.num_cells = num_cells self.block = block self.activation_name = activationName self.bn_name = bnName self.first_output = num_planes self.in_planes = self.first_output self.create_block_list() def create_block_list(self): self.block_out_channels = [] self.index = 0 layer1 = ConvBNActivationBlock(in_channels=self.data_channel, out_channels=self.first_output, kernel_size=3, stride=1, padding=1, bias=False, bnName=self.bn_name, activationName=self.activation_name) self.add_block_list(layer1.get_name(), layer1, self.first_output) self.make_layer(self.first_output, self.num_cells) self.downsample(self.first_output * 2) self.make_layer(self.first_output * 2, self.num_cells) self.downsample(self.first_output * 4) self.make_layer(self.first_output * 4, self.num_cells) def make_layer(self, planes, num_cells): for _ in range(num_cells): temp_block = self.block(self.in_planes, planes, stride=1, bn_name=self.bn_name, activation_name=self.activation_name) self.add_block_list(temp_block.get_name(), temp_block, planes) self.in_planes = planes def downsample(self, planes): down_block = self.block(self.in_planes, planes, stride=2, bn_name=self.bn_name, activation_name=self.activation_name) self.add_block_list(down_block.get_name(), down_block, planes) self.in_planes = planes def forward(self, x): output_list = [] for block in self._modules.values(): x = block(x) output_list.append(x) return output_list def pnasnet_A(data_channel): model = PNASNet(data_channel=data_channel, num_cells=6, num_planes=44, block=CellA) model.set_name(BackboneName.PNASNetA) return model def pnasnet_B(data_channel): model = PNASNet(data_channel=data_channel, num_cells=6, num_planes=32, block=CellB) model.set_name(BackboneName.PNASNetB) return model

d9a0daeef5f3a3455af5c2983af478cd08c74a7b

py

Python

map_download/cmd/TerrainDownloader.py

cugxy/map_download

02142b33edb2bc163f7ae971f443efe84c13e029

2019-04-02T08:34:16.000Z

2022-01-11T01:48:50.000Z

map_download/cmd/TerrainDownloader.py

cugxy/map_download

02142b33edb2bc163f7ae971f443efe84c13e029

2019-10-10T03:03:51.000Z

2021-11-14T11:01:47.000Z

map_download/cmd/TerrainDownloader.py

cugxy/map_download

02142b33edb2bc163f7ae971f443efe84c13e029

2019-04-02T08:43:04.000Z

2020-08-11T02:14:24.000Z

# -*- coding: utf-8 -*- # coding=utf-8 import json import os import math import logging import requests import time from map_download.cmd.BaseDownloader import DownloadEngine, BaseDownloaderThread, latlng2tile_terrain, BoundBox def get_access_token(token): resp = None request_count = 0 url = "https://api.cesium.com/v1/assets/1/endpoint" while True: if request_count > 4: break try: request_count += 1 param = {'access_token': token} resp = requests.get(url, params=param, timeout=2) if resp.status_code != 200: continue break except Exception as e: resp = None time.sleep(3) if resp is None: return None resp_json = resp.json() return resp_json.get('accessToken') class TerrainDownloaderThread(BaseDownloaderThread): URL = "https://assets.cesium.com/1/{z}/{x}/{y}.terrain?extensions=octvertexnormals-watermask&v=1.1.0" def __init__(self, root_dir, bbox, token, task_q, logger=None, write_db=False): super(TerrainDownloaderThread, self).__init__( root_dir, bbox, task_q, logger, write_db=write_db, db_file_name='Terrain.db') self.token = token self._init_metadata( format='terrain', bounds='%f,%f,%f,%f' % (self.bbox.min_lng, self.bbox.min_lat, self.bbox.max_lng, self.bbox.max_lat)) def get_url(self, x, y, z): return self.URL.format(x=x, y=y, z=z) def _download(self, x, y, z): file_path = '%s/%s/%i/%i/%i.%s' % (self.root_dir, 'Terrain', z, x, y, 'terrain') if os.path.exists(file_path): self._data2DB(x, y, z, file_path) return 0 os.makedirs(os.path.dirname(file_path), exist_ok=True) resp = None requre_count = 0 _url = '' access_token = get_access_token(self.token) if access_token is None: return -1 param = {'extensions': 'octvertexnormals-watermask', 'v': '1.1.0', 'access_token': access_token} while True: if requre_count > 4: break try: _url = self.get_url(x, y, z) resp = requests.get(_url, params=param, stream=True, timeout=2) break except Exception as e: resp = None time.sleep(3) requre_count += 1 if resp is None: return -1 if resp.status_code != 200: return -1 try: with open(file_path, 'wb') as f: for chunk in resp.iter_content(chunk_size=1024): if chunk: f.write(chunk) except Exception as e: return -1 self._data2DB(x, y, z, file_path) return 1 class TerrainDownloadEngine(DownloadEngine): root_dir = '' def __init__(self, root_dir, bbox, token, thread_num, logger=None, write_db=False): super(TerrainDownloadEngine, self).__init__(bbox, thread_num, logger, write_db=write_db) self.root_dir = root_dir self.token = token def bbox2xyz(self, bbox, z): min_x, min_y = latlng2tile_terrain(bbox.min_lat, bbox.min_lng, z) max_x, max_y = latlng2tile_terrain(bbox.max_lat, bbox.max_lng, z) return math.floor(min_x), math.floor(min_y), math.ceil(max_x) + 1, math.ceil(max_y) + 1 def generate_metadata(self): try: metadatas = { "attribution": "© Analytical Graphics Inc., © CGIAR-CSI, Produced using Copernicus data and " "information funded by the European Union - EU-DEM layers", "available": [ [ { "endX": 1, "endY": 0, "startX": 0, "startY": 0 } ], [ { "endX": 3, "endY": 1, "startX": 0, "startY": 0 } ], [ { "endX": 7, "endY": 3, "startX": 0, "startY": 0 } ], [ { "endX": 15, "endY": 7, "startX": 0, "startY": 0 } ], [ { "endX": 31, "endY": 15, "startX": 0, "startY": 0 } ], [ { "endX": 63, "endY": 31, "startX": 0, "startY": 0 } ], [ { "endX": 127, "endY": 63, "startX": 0, "startY": 0 } ], [ { "endX": 255, "endY": 127, "startX": 0, "startY": 0 } ], [ { "endX": 511, "endY": 255, "startX": 0, "startY": 0 } ], [ { "endX": 1023, "endY": 511, "startX": 0, "startY": 0 } ], [ { "endX": 2047, "endY": 1023, "startX": 0, "startY": 0 } ], [ { "endX": 4095, "endY": 2047, "startX": 0, "startY": 0 } ], [ { "endX": 8191, "endY": 4095, "startX": 0, "startY": 0 } ], [ { "endX": 16383, "endY": 8191, "startX": 0, "startY": 0 } ], [ { "endX": 32767, "endY": 16383, "startX": 0, "startY": 0 } ] ], "bounds": [-180, -90, 180, 90, ], "description": "STK World Terrain Premium Tileset, v1.3. 10m - 30m resolution CONUS, 30m resolution " "SRTM between 60N and 60S, 30m Europe. Minimum global coverage of 1000m.", "extensions": ["watermask", "vertexnormals", "octvertexnormals", ], "format": "quantized-mesh-1.0", "maxzoom": 13, "minzoom": 0, "name": "world", "projection": "EPSG:4326", "scheme": "tms", "tilejson": "2.1.0", "tiles": ["{z}/{x}/{y}.terrain?v={version}", ], "version": "1.31376.0" } _dir = os.path.join(self.root_dir, 'Terrain') os.makedirs(_dir, exist_ok=True) metadatas_path = os.path.join(_dir, 'layer.json') with open(metadatas_path, 'w') as f: json.dump(metadatas, f) except Exception as e: if self.logger is not None: self.logger.exception(e) def run(self): try: self.generate_metadata() count = 0 bboxs = self.cut_bbox() for bbox in bboxs: _count = self.get_task_count(bbox) count += _count self.division_done_signal.emit(count) for bbox in bboxs: while True: if not self.running: time.sleep(0.01) else: break task_q = self.get_task_queue(bbox) self.threads = [] for i in range(self.thread_num): thread = TerrainDownloaderThread(self.root_dir, self.bbox, self.token, task_q, self.logger, write_db=self.write_db) thread.sub_progressBar_updated_signal.connect(self.sub_update_progressBar) self.threads.append(thread) for thread in self.threads: thread.start() for thread in self.threads: thread.wait() for t in self.threads: t.stop() t.quit() self.threads = [] self.download_done_signal.emit() except Exception as e: if self.logger is not None: self.logger.error(e) if __name__ == '__main__': if 1: logger = logging.getLogger('down') try: root = r'/Users/cugxy/Documents/data/downloader' formatter = logging.Formatter('%(levelname)s-%(message)s') hdlr = logging.StreamHandler() log_file = os.path.join(root, 'down.log') file_hdlr = logging.FileHandler(log_file) file_hdlr.setFormatter(formatter) logger.addHandler(file_hdlr) logger.addHandler(hdlr) logger.setLevel(logging.INFO) min_lng = -180.0 max_lng = 180.0 min_lat = -90.0 max_lat = 90.0 start_zoom = 0 end_zoom = 5 bbox = BoundBox(max_lat, max_lng, min_lat, min_lng, start_zoom, end_zoom) d = TerrainDownloadEngine(root, bbox, 8, logger) d.start() time.sleep(10000) logger.error('main thread out') except Exception as e: logger.error(e) if 0: accessToken = get_access_token() pass

d9a1f3b0cf83d1115ed19f3acdb5e35f75ece5c0

py

Python

kubernetes_asyncio/client/api/rbac_authorization_v1_api.py

dineshsonachalam/kubernetes_asyncio

d57e9e9be11f6789e1ce8d5b161acb64d29acf35

2021-02-25T04:36:18.000Z

2021-02-25T04:36:18.000Z

kubernetes_asyncio/client/api/rbac_authorization_v1_api.py

hubo1016/kubernetes_asyncio

d57e9e9be11f6789e1ce8d5b161acb64d29acf35

kubernetes_asyncio/client/api/rbac_authorization_v1_api.py

hubo1016/kubernetes_asyncio

d57e9e9be11f6789e1ce8d5b161acb64d29acf35

# coding: utf-8 """ Kubernetes No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: v1.12.4 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from kubernetes_asyncio.client.api_client import ApiClient class RbacAuthorizationV1Api(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def create_cluster_role(self, body, **kwargs): # noqa: E501 """create_cluster_role # noqa: E501 create a ClusterRole # 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_cluster_role(body, async_req=True) >>> result = thread.get() :param async_req bool :param V1ClusterRole body: (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1ClusterRole If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_cluster_role_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.create_cluster_role_with_http_info(body, **kwargs) # noqa: E501 return data def create_cluster_role_with_http_info(self, body, **kwargs): # noqa: E501 """create_cluster_role # noqa: E501 create a ClusterRole # 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_cluster_role_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param V1ClusterRole body: (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1ClusterRole If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'include_uninitialized', 'pretty', 'dry_run'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_cluster_role" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_cluster_role`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterroles', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1ClusterRole', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_cluster_role_binding(self, body, **kwargs): # noqa: E501 """create_cluster_role_binding # noqa: E501 create a ClusterRoleBinding # 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_cluster_role_binding(body, async_req=True) >>> result = thread.get() :param async_req bool :param V1ClusterRoleBinding body: (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1ClusterRoleBinding If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_cluster_role_binding_with_http_info(body, **kwargs) # noqa: E501 else: (data) = self.create_cluster_role_binding_with_http_info(body, **kwargs) # noqa: E501 return data def create_cluster_role_binding_with_http_info(self, body, **kwargs): # noqa: E501 """create_cluster_role_binding # noqa: E501 create a ClusterRoleBinding # 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_cluster_role_binding_with_http_info(body, async_req=True) >>> result = thread.get() :param async_req bool :param V1ClusterRoleBinding body: (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1ClusterRoleBinding If the method is called asynchronously, returns the request thread. """ all_params = ['body', 'include_uninitialized', 'pretty', 'dry_run'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_cluster_role_binding" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_cluster_role_binding`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterrolebindings', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1ClusterRoleBinding', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_namespaced_role(self, namespace, body, **kwargs): # noqa: E501 """create_namespaced_role # noqa: E501 create a Role # 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_namespaced_role(namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1Role body: (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1Role If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_namespaced_role_with_http_info(namespace, body, **kwargs) # noqa: E501 else: (data) = self.create_namespaced_role_with_http_info(namespace, body, **kwargs) # noqa: E501 return data def create_namespaced_role_with_http_info(self, namespace, body, **kwargs): # noqa: E501 """create_namespaced_role # noqa: E501 create a Role # 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_namespaced_role_with_http_info(namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1Role body: (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1Role If the method is called asynchronously, returns the request thread. """ all_params = ['namespace', 'body', 'include_uninitialized', 'pretty', 'dry_run'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_namespaced_role" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `create_namespaced_role`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_namespaced_role`") # noqa: E501 collection_formats = {} path_params = {} if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/roles', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1Role', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_namespaced_role_binding(self, namespace, body, **kwargs): # noqa: E501 """create_namespaced_role_binding # noqa: E501 create a RoleBinding # 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_namespaced_role_binding(namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1RoleBinding body: (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1RoleBinding If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.create_namespaced_role_binding_with_http_info(namespace, body, **kwargs) # noqa: E501 else: (data) = self.create_namespaced_role_binding_with_http_info(namespace, body, **kwargs) # noqa: E501 return data def create_namespaced_role_binding_with_http_info(self, namespace, body, **kwargs): # noqa: E501 """create_namespaced_role_binding # noqa: E501 create a RoleBinding # 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_namespaced_role_binding_with_http_info(namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1RoleBinding body: (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1RoleBinding If the method is called asynchronously, returns the request thread. """ all_params = ['namespace', 'body', 'include_uninitialized', 'pretty', 'dry_run'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_namespaced_role_binding" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `create_namespaced_role_binding`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `create_namespaced_role_binding`") # noqa: E501 collection_formats = {} path_params = {} if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/rolebindings', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1RoleBinding', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_cluster_role(self, name, body, **kwargs): # noqa: E501 """delete_cluster_role # noqa: E501 delete a ClusterRole # 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_cluster_role(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRole (required) :param V1DeleteOptions body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :param int grace_period_seconds: The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately. :param bool orphan_dependents: Deprecated: please use the PropagationPolicy, this field will be deprecated in 1.7. Should the dependent objects be orphaned. If true/false, the \"orphan\" finalizer will be added to/removed from the object's finalizers list. Either this field or PropagationPolicy may be set, but not both. :param str propagation_policy: Whether and how garbage collection will be performed. Either this field or OrphanDependents may be set, but not both. The default policy is decided by the existing finalizer set in the metadata.finalizers and the resource-specific default policy. Acceptable values are: 'Orphan' - orphan the dependents; 'Background' - allow the garbage collector to delete the dependents in the background; 'Foreground' - a cascading policy that deletes all dependents in the foreground. :return: V1Status If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_cluster_role_with_http_info(name, body, **kwargs) # noqa: E501 else: (data) = self.delete_cluster_role_with_http_info(name, body, **kwargs) # noqa: E501 return data def delete_cluster_role_with_http_info(self, name, body, **kwargs): # noqa: E501 """delete_cluster_role # noqa: E501 delete a ClusterRole # 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_cluster_role_with_http_info(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRole (required) :param V1DeleteOptions body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :param int grace_period_seconds: The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately. :param bool orphan_dependents: Deprecated: please use the PropagationPolicy, this field will be deprecated in 1.7. Should the dependent objects be orphaned. If true/false, the \"orphan\" finalizer will be added to/removed from the object's finalizers list. Either this field or PropagationPolicy may be set, but not both. :param str propagation_policy: Whether and how garbage collection will be performed. Either this field or OrphanDependents may be set, but not both. The default policy is decided by the existing finalizer set in the metadata.finalizers and the resource-specific default policy. Acceptable values are: 'Orphan' - orphan the dependents; 'Background' - allow the garbage collector to delete the dependents in the background; 'Foreground' - a cascading policy that deletes all dependents in the foreground. :return: V1Status If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'body', 'pretty', 'dry_run', 'grace_period_seconds', 'orphan_dependents', 'propagation_policy'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_cluster_role" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `delete_cluster_role`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `delete_cluster_role`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 if 'grace_period_seconds' in params: query_params.append(('gracePeriodSeconds', params['grace_period_seconds'])) # noqa: E501 if 'orphan_dependents' in params: query_params.append(('orphanDependents', params['orphan_dependents'])) # noqa: E501 if 'propagation_policy' in params: query_params.append(('propagationPolicy', params['propagation_policy'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterroles/{name}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1Status', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_cluster_role_binding(self, name, body, **kwargs): # noqa: E501 """delete_cluster_role_binding # noqa: E501 delete a ClusterRoleBinding # 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_cluster_role_binding(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRoleBinding (required) :param V1DeleteOptions body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :param int grace_period_seconds: The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately. :param bool orphan_dependents: Deprecated: please use the PropagationPolicy, this field will be deprecated in 1.7. Should the dependent objects be orphaned. If true/false, the \"orphan\" finalizer will be added to/removed from the object's finalizers list. Either this field or PropagationPolicy may be set, but not both. :param str propagation_policy: Whether and how garbage collection will be performed. Either this field or OrphanDependents may be set, but not both. The default policy is decided by the existing finalizer set in the metadata.finalizers and the resource-specific default policy. Acceptable values are: 'Orphan' - orphan the dependents; 'Background' - allow the garbage collector to delete the dependents in the background; 'Foreground' - a cascading policy that deletes all dependents in the foreground. :return: V1Status If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_cluster_role_binding_with_http_info(name, body, **kwargs) # noqa: E501 else: (data) = self.delete_cluster_role_binding_with_http_info(name, body, **kwargs) # noqa: E501 return data def delete_cluster_role_binding_with_http_info(self, name, body, **kwargs): # noqa: E501 """delete_cluster_role_binding # noqa: E501 delete a ClusterRoleBinding # 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_cluster_role_binding_with_http_info(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRoleBinding (required) :param V1DeleteOptions body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :param int grace_period_seconds: The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately. :param bool orphan_dependents: Deprecated: please use the PropagationPolicy, this field will be deprecated in 1.7. Should the dependent objects be orphaned. If true/false, the \"orphan\" finalizer will be added to/removed from the object's finalizers list. Either this field or PropagationPolicy may be set, but not both. :param str propagation_policy: Whether and how garbage collection will be performed. Either this field or OrphanDependents may be set, but not both. The default policy is decided by the existing finalizer set in the metadata.finalizers and the resource-specific default policy. Acceptable values are: 'Orphan' - orphan the dependents; 'Background' - allow the garbage collector to delete the dependents in the background; 'Foreground' - a cascading policy that deletes all dependents in the foreground. :return: V1Status If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'body', 'pretty', 'dry_run', 'grace_period_seconds', 'orphan_dependents', 'propagation_policy'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_cluster_role_binding" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `delete_cluster_role_binding`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `delete_cluster_role_binding`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 if 'grace_period_seconds' in params: query_params.append(('gracePeriodSeconds', params['grace_period_seconds'])) # noqa: E501 if 'orphan_dependents' in params: query_params.append(('orphanDependents', params['orphan_dependents'])) # noqa: E501 if 'propagation_policy' in params: query_params.append(('propagationPolicy', params['propagation_policy'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterrolebindings/{name}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1Status', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_collection_cluster_role(self, **kwargs): # noqa: E501 """delete_collection_cluster_role # noqa: E501 delete collection of ClusterRole # 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_collection_cluster_role(async_req=True) >>> result = thread.get() :param async_req bool :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1Status If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_collection_cluster_role_with_http_info(**kwargs) # noqa: E501 else: (data) = self.delete_collection_cluster_role_with_http_info(**kwargs) # noqa: E501 return data def delete_collection_cluster_role_with_http_info(self, **kwargs): # noqa: E501 """delete_collection_cluster_role # noqa: E501 delete collection of ClusterRole # 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_collection_cluster_role_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1Status If the method is called asynchronously, returns the request thread. """ all_params = ['include_uninitialized', 'pretty', '_continue', 'field_selector', 'label_selector', 'limit', 'resource_version', 'timeout_seconds', 'watch'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_collection_cluster_role" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if '_continue' in params: query_params.append(('continue', params['_continue'])) # noqa: E501 if 'field_selector' in params: query_params.append(('fieldSelector', params['field_selector'])) # noqa: E501 if 'label_selector' in params: query_params.append(('labelSelector', params['label_selector'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'resource_version' in params: query_params.append(('resourceVersion', params['resource_version'])) # noqa: E501 if 'timeout_seconds' in params: query_params.append(('timeoutSeconds', params['timeout_seconds'])) # noqa: E501 if 'watch' in params: query_params.append(('watch', params['watch'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterroles', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1Status', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_collection_cluster_role_binding(self, **kwargs): # noqa: E501 """delete_collection_cluster_role_binding # noqa: E501 delete collection of ClusterRoleBinding # 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_collection_cluster_role_binding(async_req=True) >>> result = thread.get() :param async_req bool :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1Status If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_collection_cluster_role_binding_with_http_info(**kwargs) # noqa: E501 else: (data) = self.delete_collection_cluster_role_binding_with_http_info(**kwargs) # noqa: E501 return data def delete_collection_cluster_role_binding_with_http_info(self, **kwargs): # noqa: E501 """delete_collection_cluster_role_binding # noqa: E501 delete collection of ClusterRoleBinding # 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_collection_cluster_role_binding_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1Status If the method is called asynchronously, returns the request thread. """ all_params = ['include_uninitialized', 'pretty', '_continue', 'field_selector', 'label_selector', 'limit', 'resource_version', 'timeout_seconds', 'watch'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_collection_cluster_role_binding" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if '_continue' in params: query_params.append(('continue', params['_continue'])) # noqa: E501 if 'field_selector' in params: query_params.append(('fieldSelector', params['field_selector'])) # noqa: E501 if 'label_selector' in params: query_params.append(('labelSelector', params['label_selector'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'resource_version' in params: query_params.append(('resourceVersion', params['resource_version'])) # noqa: E501 if 'timeout_seconds' in params: query_params.append(('timeoutSeconds', params['timeout_seconds'])) # noqa: E501 if 'watch' in params: query_params.append(('watch', params['watch'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterrolebindings', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1Status', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_collection_namespaced_role(self, namespace, **kwargs): # noqa: E501 """delete_collection_namespaced_role # noqa: E501 delete collection of Role # 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_collection_namespaced_role(namespace, async_req=True) >>> result = thread.get() :param async_req bool :param str namespace: object name and auth scope, such as for teams and projects (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1Status If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_collection_namespaced_role_with_http_info(namespace, **kwargs) # noqa: E501 else: (data) = self.delete_collection_namespaced_role_with_http_info(namespace, **kwargs) # noqa: E501 return data def delete_collection_namespaced_role_with_http_info(self, namespace, **kwargs): # noqa: E501 """delete_collection_namespaced_role # noqa: E501 delete collection of Role # 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_collection_namespaced_role_with_http_info(namespace, async_req=True) >>> result = thread.get() :param async_req bool :param str namespace: object name and auth scope, such as for teams and projects (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1Status If the method is called asynchronously, returns the request thread. """ all_params = ['namespace', 'include_uninitialized', 'pretty', '_continue', 'field_selector', 'label_selector', 'limit', 'resource_version', 'timeout_seconds', 'watch'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_collection_namespaced_role" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `delete_collection_namespaced_role`") # noqa: E501 collection_formats = {} path_params = {} if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if '_continue' in params: query_params.append(('continue', params['_continue'])) # noqa: E501 if 'field_selector' in params: query_params.append(('fieldSelector', params['field_selector'])) # noqa: E501 if 'label_selector' in params: query_params.append(('labelSelector', params['label_selector'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'resource_version' in params: query_params.append(('resourceVersion', params['resource_version'])) # noqa: E501 if 'timeout_seconds' in params: query_params.append(('timeoutSeconds', params['timeout_seconds'])) # noqa: E501 if 'watch' in params: query_params.append(('watch', params['watch'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/roles', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1Status', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_collection_namespaced_role_binding(self, namespace, **kwargs): # noqa: E501 """delete_collection_namespaced_role_binding # noqa: E501 delete collection of RoleBinding # 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_collection_namespaced_role_binding(namespace, async_req=True) >>> result = thread.get() :param async_req bool :param str namespace: object name and auth scope, such as for teams and projects (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1Status If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_collection_namespaced_role_binding_with_http_info(namespace, **kwargs) # noqa: E501 else: (data) = self.delete_collection_namespaced_role_binding_with_http_info(namespace, **kwargs) # noqa: E501 return data def delete_collection_namespaced_role_binding_with_http_info(self, namespace, **kwargs): # noqa: E501 """delete_collection_namespaced_role_binding # noqa: E501 delete collection of RoleBinding # 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_collection_namespaced_role_binding_with_http_info(namespace, async_req=True) >>> result = thread.get() :param async_req bool :param str namespace: object name and auth scope, such as for teams and projects (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1Status If the method is called asynchronously, returns the request thread. """ all_params = ['namespace', 'include_uninitialized', 'pretty', '_continue', 'field_selector', 'label_selector', 'limit', 'resource_version', 'timeout_seconds', 'watch'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_collection_namespaced_role_binding" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `delete_collection_namespaced_role_binding`") # noqa: E501 collection_formats = {} path_params = {} if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if '_continue' in params: query_params.append(('continue', params['_continue'])) # noqa: E501 if 'field_selector' in params: query_params.append(('fieldSelector', params['field_selector'])) # noqa: E501 if 'label_selector' in params: query_params.append(('labelSelector', params['label_selector'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'resource_version' in params: query_params.append(('resourceVersion', params['resource_version'])) # noqa: E501 if 'timeout_seconds' in params: query_params.append(('timeoutSeconds', params['timeout_seconds'])) # noqa: E501 if 'watch' in params: query_params.append(('watch', params['watch'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/rolebindings', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1Status', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_namespaced_role(self, name, namespace, body, **kwargs): # noqa: E501 """delete_namespaced_role # noqa: E501 delete a Role # 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_namespaced_role(name, namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the Role (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeleteOptions body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :param int grace_period_seconds: The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately. :param bool orphan_dependents: Deprecated: please use the PropagationPolicy, this field will be deprecated in 1.7. Should the dependent objects be orphaned. If true/false, the \"orphan\" finalizer will be added to/removed from the object's finalizers list. Either this field or PropagationPolicy may be set, but not both. :param str propagation_policy: Whether and how garbage collection will be performed. Either this field or OrphanDependents may be set, but not both. The default policy is decided by the existing finalizer set in the metadata.finalizers and the resource-specific default policy. Acceptable values are: 'Orphan' - orphan the dependents; 'Background' - allow the garbage collector to delete the dependents in the background; 'Foreground' - a cascading policy that deletes all dependents in the foreground. :return: V1Status If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_namespaced_role_with_http_info(name, namespace, body, **kwargs) # noqa: E501 else: (data) = self.delete_namespaced_role_with_http_info(name, namespace, body, **kwargs) # noqa: E501 return data def delete_namespaced_role_with_http_info(self, name, namespace, body, **kwargs): # noqa: E501 """delete_namespaced_role # noqa: E501 delete a Role # 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_namespaced_role_with_http_info(name, namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the Role (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeleteOptions body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :param int grace_period_seconds: The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately. :param bool orphan_dependents: Deprecated: please use the PropagationPolicy, this field will be deprecated in 1.7. Should the dependent objects be orphaned. If true/false, the \"orphan\" finalizer will be added to/removed from the object's finalizers list. Either this field or PropagationPolicy may be set, but not both. :param str propagation_policy: Whether and how garbage collection will be performed. Either this field or OrphanDependents may be set, but not both. The default policy is decided by the existing finalizer set in the metadata.finalizers and the resource-specific default policy. Acceptable values are: 'Orphan' - orphan the dependents; 'Background' - allow the garbage collector to delete the dependents in the background; 'Foreground' - a cascading policy that deletes all dependents in the foreground. :return: V1Status If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty', 'dry_run', 'grace_period_seconds', 'orphan_dependents', 'propagation_policy'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_namespaced_role" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `delete_namespaced_role`") # noqa: E501 # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `delete_namespaced_role`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `delete_namespaced_role`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 if 'grace_period_seconds' in params: query_params.append(('gracePeriodSeconds', params['grace_period_seconds'])) # noqa: E501 if 'orphan_dependents' in params: query_params.append(('orphanDependents', params['orphan_dependents'])) # noqa: E501 if 'propagation_policy' in params: query_params.append(('propagationPolicy', params['propagation_policy'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/roles/{name}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1Status', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_namespaced_role_binding(self, name, namespace, body, **kwargs): # noqa: E501 """delete_namespaced_role_binding # noqa: E501 delete a RoleBinding # 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_namespaced_role_binding(name, namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the RoleBinding (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeleteOptions body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :param int grace_period_seconds: The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately. :param bool orphan_dependents: Deprecated: please use the PropagationPolicy, this field will be deprecated in 1.7. Should the dependent objects be orphaned. If true/false, the \"orphan\" finalizer will be added to/removed from the object's finalizers list. Either this field or PropagationPolicy may be set, but not both. :param str propagation_policy: Whether and how garbage collection will be performed. Either this field or OrphanDependents may be set, but not both. The default policy is decided by the existing finalizer set in the metadata.finalizers and the resource-specific default policy. Acceptable values are: 'Orphan' - orphan the dependents; 'Background' - allow the garbage collector to delete the dependents in the background; 'Foreground' - a cascading policy that deletes all dependents in the foreground. :return: V1Status If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.delete_namespaced_role_binding_with_http_info(name, namespace, body, **kwargs) # noqa: E501 else: (data) = self.delete_namespaced_role_binding_with_http_info(name, namespace, body, **kwargs) # noqa: E501 return data def delete_namespaced_role_binding_with_http_info(self, name, namespace, body, **kwargs): # noqa: E501 """delete_namespaced_role_binding # noqa: E501 delete a RoleBinding # 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_namespaced_role_binding_with_http_info(name, namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the RoleBinding (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1DeleteOptions body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :param int grace_period_seconds: The duration in seconds before the object should be deleted. Value must be non-negative integer. The value zero indicates delete immediately. If this value is nil, the default grace period for the specified type will be used. Defaults to a per object value if not specified. zero means delete immediately. :param bool orphan_dependents: Deprecated: please use the PropagationPolicy, this field will be deprecated in 1.7. Should the dependent objects be orphaned. If true/false, the \"orphan\" finalizer will be added to/removed from the object's finalizers list. Either this field or PropagationPolicy may be set, but not both. :param str propagation_policy: Whether and how garbage collection will be performed. Either this field or OrphanDependents may be set, but not both. The default policy is decided by the existing finalizer set in the metadata.finalizers and the resource-specific default policy. Acceptable values are: 'Orphan' - orphan the dependents; 'Background' - allow the garbage collector to delete the dependents in the background; 'Foreground' - a cascading policy that deletes all dependents in the foreground. :return: V1Status If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty', 'dry_run', 'grace_period_seconds', 'orphan_dependents', 'propagation_policy'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_namespaced_role_binding" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `delete_namespaced_role_binding`") # noqa: E501 # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `delete_namespaced_role_binding`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `delete_namespaced_role_binding`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 if 'grace_period_seconds' in params: query_params.append(('gracePeriodSeconds', params['grace_period_seconds'])) # noqa: E501 if 'orphan_dependents' in params: query_params.append(('orphanDependents', params['orphan_dependents'])) # noqa: E501 if 'propagation_policy' in params: query_params.append(('propagationPolicy', params['propagation_policy'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/rolebindings/{name}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1Status', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_api_resources(self, **kwargs): # noqa: E501 """get_api_resources # noqa: E501 get available resources # 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_api_resources(async_req=True) >>> result = thread.get() :param async_req bool :return: V1APIResourceList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_api_resources_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_api_resources_with_http_info(**kwargs) # noqa: E501 return data def get_api_resources_with_http_info(self, **kwargs): # noqa: E501 """get_api_resources # noqa: E501 get available resources # 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_api_resources_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: V1APIResourceList If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_api_resources" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1APIResourceList', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def list_cluster_role(self, **kwargs): # noqa: E501 """list_cluster_role # noqa: E501 list or watch objects of kind ClusterRole # 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_cluster_role(async_req=True) >>> result = thread.get() :param async_req bool :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1ClusterRoleList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.list_cluster_role_with_http_info(**kwargs) # noqa: E501 else: (data) = self.list_cluster_role_with_http_info(**kwargs) # noqa: E501 return data def list_cluster_role_with_http_info(self, **kwargs): # noqa: E501 """list_cluster_role # noqa: E501 list or watch objects of kind ClusterRole # 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_cluster_role_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1ClusterRoleList If the method is called asynchronously, returns the request thread. """ all_params = ['include_uninitialized', 'pretty', '_continue', 'field_selector', 'label_selector', 'limit', 'resource_version', 'timeout_seconds', 'watch'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_cluster_role" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if '_continue' in params: query_params.append(('continue', params['_continue'])) # noqa: E501 if 'field_selector' in params: query_params.append(('fieldSelector', params['field_selector'])) # noqa: E501 if 'label_selector' in params: query_params.append(('labelSelector', params['label_selector'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'resource_version' in params: query_params.append(('resourceVersion', params['resource_version'])) # noqa: E501 if 'timeout_seconds' in params: query_params.append(('timeoutSeconds', params['timeout_seconds'])) # noqa: E501 if 'watch' in params: query_params.append(('watch', params['watch'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterroles', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1ClusterRoleList', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def list_cluster_role_binding(self, **kwargs): # noqa: E501 """list_cluster_role_binding # noqa: E501 list or watch objects of kind ClusterRoleBinding # 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_cluster_role_binding(async_req=True) >>> result = thread.get() :param async_req bool :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1ClusterRoleBindingList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.list_cluster_role_binding_with_http_info(**kwargs) # noqa: E501 else: (data) = self.list_cluster_role_binding_with_http_info(**kwargs) # noqa: E501 return data def list_cluster_role_binding_with_http_info(self, **kwargs): # noqa: E501 """list_cluster_role_binding # noqa: E501 list or watch objects of kind ClusterRoleBinding # 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_cluster_role_binding_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1ClusterRoleBindingList If the method is called asynchronously, returns the request thread. """ all_params = ['include_uninitialized', 'pretty', '_continue', 'field_selector', 'label_selector', 'limit', 'resource_version', 'timeout_seconds', 'watch'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_cluster_role_binding" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if '_continue' in params: query_params.append(('continue', params['_continue'])) # noqa: E501 if 'field_selector' in params: query_params.append(('fieldSelector', params['field_selector'])) # noqa: E501 if 'label_selector' in params: query_params.append(('labelSelector', params['label_selector'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'resource_version' in params: query_params.append(('resourceVersion', params['resource_version'])) # noqa: E501 if 'timeout_seconds' in params: query_params.append(('timeoutSeconds', params['timeout_seconds'])) # noqa: E501 if 'watch' in params: query_params.append(('watch', params['watch'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterrolebindings', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1ClusterRoleBindingList', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def list_namespaced_role(self, namespace, **kwargs): # noqa: E501 """list_namespaced_role # noqa: E501 list or watch objects of kind Role # 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_namespaced_role(namespace, async_req=True) >>> result = thread.get() :param async_req bool :param str namespace: object name and auth scope, such as for teams and projects (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1RoleList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.list_namespaced_role_with_http_info(namespace, **kwargs) # noqa: E501 else: (data) = self.list_namespaced_role_with_http_info(namespace, **kwargs) # noqa: E501 return data def list_namespaced_role_with_http_info(self, namespace, **kwargs): # noqa: E501 """list_namespaced_role # noqa: E501 list or watch objects of kind Role # 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_namespaced_role_with_http_info(namespace, async_req=True) >>> result = thread.get() :param async_req bool :param str namespace: object name and auth scope, such as for teams and projects (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1RoleList If the method is called asynchronously, returns the request thread. """ all_params = ['namespace', 'include_uninitialized', 'pretty', '_continue', 'field_selector', 'label_selector', 'limit', 'resource_version', 'timeout_seconds', 'watch'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_namespaced_role" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `list_namespaced_role`") # noqa: E501 collection_formats = {} path_params = {} if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if '_continue' in params: query_params.append(('continue', params['_continue'])) # noqa: E501 if 'field_selector' in params: query_params.append(('fieldSelector', params['field_selector'])) # noqa: E501 if 'label_selector' in params: query_params.append(('labelSelector', params['label_selector'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'resource_version' in params: query_params.append(('resourceVersion', params['resource_version'])) # noqa: E501 if 'timeout_seconds' in params: query_params.append(('timeoutSeconds', params['timeout_seconds'])) # noqa: E501 if 'watch' in params: query_params.append(('watch', params['watch'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/roles', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1RoleList', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def list_namespaced_role_binding(self, namespace, **kwargs): # noqa: E501 """list_namespaced_role_binding # noqa: E501 list or watch objects of kind RoleBinding # 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_namespaced_role_binding(namespace, async_req=True) >>> result = thread.get() :param async_req bool :param str namespace: object name and auth scope, such as for teams and projects (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1RoleBindingList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.list_namespaced_role_binding_with_http_info(namespace, **kwargs) # noqa: E501 else: (data) = self.list_namespaced_role_binding_with_http_info(namespace, **kwargs) # noqa: E501 return data def list_namespaced_role_binding_with_http_info(self, namespace, **kwargs): # noqa: E501 """list_namespaced_role_binding # noqa: E501 list or watch objects of kind RoleBinding # 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_namespaced_role_binding_with_http_info(namespace, async_req=True) >>> result = thread.get() :param async_req bool :param str namespace: object name and auth scope, such as for teams and projects (required) :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str pretty: If 'true', then the output is pretty printed. :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1RoleBindingList If the method is called asynchronously, returns the request thread. """ all_params = ['namespace', 'include_uninitialized', 'pretty', '_continue', 'field_selector', 'label_selector', 'limit', 'resource_version', 'timeout_seconds', 'watch'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_namespaced_role_binding" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `list_namespaced_role_binding`") # noqa: E501 collection_formats = {} path_params = {} if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if '_continue' in params: query_params.append(('continue', params['_continue'])) # noqa: E501 if 'field_selector' in params: query_params.append(('fieldSelector', params['field_selector'])) # noqa: E501 if 'label_selector' in params: query_params.append(('labelSelector', params['label_selector'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'resource_version' in params: query_params.append(('resourceVersion', params['resource_version'])) # noqa: E501 if 'timeout_seconds' in params: query_params.append(('timeoutSeconds', params['timeout_seconds'])) # noqa: E501 if 'watch' in params: query_params.append(('watch', params['watch'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/rolebindings', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1RoleBindingList', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def list_role_binding_for_all_namespaces(self, **kwargs): # noqa: E501 """list_role_binding_for_all_namespaces # noqa: E501 list or watch objects of kind RoleBinding # 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_role_binding_for_all_namespaces(async_req=True) >>> result = thread.get() :param async_req bool :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str pretty: If 'true', then the output is pretty printed. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1RoleBindingList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.list_role_binding_for_all_namespaces_with_http_info(**kwargs) # noqa: E501 else: (data) = self.list_role_binding_for_all_namespaces_with_http_info(**kwargs) # noqa: E501 return data def list_role_binding_for_all_namespaces_with_http_info(self, **kwargs): # noqa: E501 """list_role_binding_for_all_namespaces # noqa: E501 list or watch objects of kind RoleBinding # 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_role_binding_for_all_namespaces_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str pretty: If 'true', then the output is pretty printed. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1RoleBindingList If the method is called asynchronously, returns the request thread. """ all_params = ['_continue', 'field_selector', 'include_uninitialized', 'label_selector', 'limit', 'pretty', 'resource_version', 'timeout_seconds', 'watch'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_role_binding_for_all_namespaces" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if '_continue' in params: query_params.append(('continue', params['_continue'])) # noqa: E501 if 'field_selector' in params: query_params.append(('fieldSelector', params['field_selector'])) # noqa: E501 if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'label_selector' in params: query_params.append(('labelSelector', params['label_selector'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'resource_version' in params: query_params.append(('resourceVersion', params['resource_version'])) # noqa: E501 if 'timeout_seconds' in params: query_params.append(('timeoutSeconds', params['timeout_seconds'])) # noqa: E501 if 'watch' in params: query_params.append(('watch', params['watch'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/rolebindings', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1RoleBindingList', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def list_role_for_all_namespaces(self, **kwargs): # noqa: E501 """list_role_for_all_namespaces # noqa: E501 list or watch objects of kind Role # 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_role_for_all_namespaces(async_req=True) >>> result = thread.get() :param async_req bool :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str pretty: If 'true', then the output is pretty printed. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1RoleList If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.list_role_for_all_namespaces_with_http_info(**kwargs) # noqa: E501 else: (data) = self.list_role_for_all_namespaces_with_http_info(**kwargs) # noqa: E501 return data def list_role_for_all_namespaces_with_http_info(self, **kwargs): # noqa: E501 """list_role_for_all_namespaces # noqa: E501 list or watch objects of kind Role # 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_role_for_all_namespaces_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. :param bool include_uninitialized: If true, partially initialized resources are included in the response. :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. :param str pretty: If 'true', then the output is pretty printed. :param str resource_version: When specified with a watch call, shows changes that occur after that particular version of a resource. Defaults to changes from the beginning of history. When specified for list: - if unset, then the result is returned from remote storage based on quorum-read flag; - if it's 0, then we simply return what we currently have in cache, no guarantee; - if set to non zero, then the result is at least as fresh as given rv. :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. :return: V1RoleList If the method is called asynchronously, returns the request thread. """ all_params = ['_continue', 'field_selector', 'include_uninitialized', 'label_selector', 'limit', 'pretty', 'resource_version', 'timeout_seconds', 'watch'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_role_for_all_namespaces" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] if '_continue' in params: query_params.append(('continue', params['_continue'])) # noqa: E501 if 'field_selector' in params: query_params.append(('fieldSelector', params['field_selector'])) # noqa: E501 if 'include_uninitialized' in params: query_params.append(('includeUninitialized', params['include_uninitialized'])) # noqa: E501 if 'label_selector' in params: query_params.append(('labelSelector', params['label_selector'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'resource_version' in params: query_params.append(('resourceVersion', params['resource_version'])) # noqa: E501 if 'timeout_seconds' in params: query_params.append(('timeoutSeconds', params['timeout_seconds'])) # noqa: E501 if 'watch' in params: query_params.append(('watch', params['watch'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/roles', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1RoleList', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def patch_cluster_role(self, name, body, **kwargs): # noqa: E501 """patch_cluster_role # noqa: E501 partially update the specified ClusterRole # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_cluster_role(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRole (required) :param object body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1ClusterRole If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.patch_cluster_role_with_http_info(name, body, **kwargs) # noqa: E501 else: (data) = self.patch_cluster_role_with_http_info(name, body, **kwargs) # noqa: E501 return data def patch_cluster_role_with_http_info(self, name, body, **kwargs): # noqa: E501 """patch_cluster_role # noqa: E501 partially update the specified ClusterRole # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_cluster_role_with_http_info(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRole (required) :param object body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1ClusterRole If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'body', 'pretty', 'dry_run'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_cluster_role" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `patch_cluster_role`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `patch_cluster_role`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json-patch+json', 'application/merge-patch+json', 'application/strategic-merge-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterroles/{name}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1ClusterRole', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def patch_cluster_role_binding(self, name, body, **kwargs): # noqa: E501 """patch_cluster_role_binding # noqa: E501 partially update the specified ClusterRoleBinding # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_cluster_role_binding(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRoleBinding (required) :param object body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1ClusterRoleBinding If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.patch_cluster_role_binding_with_http_info(name, body, **kwargs) # noqa: E501 else: (data) = self.patch_cluster_role_binding_with_http_info(name, body, **kwargs) # noqa: E501 return data def patch_cluster_role_binding_with_http_info(self, name, body, **kwargs): # noqa: E501 """patch_cluster_role_binding # noqa: E501 partially update the specified ClusterRoleBinding # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_cluster_role_binding_with_http_info(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRoleBinding (required) :param object body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1ClusterRoleBinding If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'body', 'pretty', 'dry_run'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_cluster_role_binding" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `patch_cluster_role_binding`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `patch_cluster_role_binding`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json-patch+json', 'application/merge-patch+json', 'application/strategic-merge-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterrolebindings/{name}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1ClusterRoleBinding', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def patch_namespaced_role(self, name, namespace, body, **kwargs): # noqa: E501 """patch_namespaced_role # noqa: E501 partially update the specified Role # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_namespaced_role(name, namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the Role (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param object body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1Role If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.patch_namespaced_role_with_http_info(name, namespace, body, **kwargs) # noqa: E501 else: (data) = self.patch_namespaced_role_with_http_info(name, namespace, body, **kwargs) # noqa: E501 return data def patch_namespaced_role_with_http_info(self, name, namespace, body, **kwargs): # noqa: E501 """patch_namespaced_role # noqa: E501 partially update the specified Role # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_namespaced_role_with_http_info(name, namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the Role (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param object body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1Role If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty', 'dry_run'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_namespaced_role" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `patch_namespaced_role`") # noqa: E501 # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `patch_namespaced_role`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `patch_namespaced_role`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json-patch+json', 'application/merge-patch+json', 'application/strategic-merge-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/roles/{name}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1Role', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def patch_namespaced_role_binding(self, name, namespace, body, **kwargs): # noqa: E501 """patch_namespaced_role_binding # noqa: E501 partially update the specified RoleBinding # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_namespaced_role_binding(name, namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the RoleBinding (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param object body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1RoleBinding If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.patch_namespaced_role_binding_with_http_info(name, namespace, body, **kwargs) # noqa: E501 else: (data) = self.patch_namespaced_role_binding_with_http_info(name, namespace, body, **kwargs) # noqa: E501 return data def patch_namespaced_role_binding_with_http_info(self, name, namespace, body, **kwargs): # noqa: E501 """patch_namespaced_role_binding # noqa: E501 partially update the specified RoleBinding # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.patch_namespaced_role_binding_with_http_info(name, namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the RoleBinding (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param object body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1RoleBinding If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty', 'dry_run'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method patch_namespaced_role_binding" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `patch_namespaced_role_binding`") # noqa: E501 # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `patch_namespaced_role_binding`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `patch_namespaced_role_binding`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json-patch+json', 'application/merge-patch+json', 'application/strategic-merge-patch+json']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/rolebindings/{name}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1RoleBinding', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def read_cluster_role(self, name, **kwargs): # noqa: E501 """read_cluster_role # noqa: E501 read the specified ClusterRole # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.read_cluster_role(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRole (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1ClusterRole If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.read_cluster_role_with_http_info(name, **kwargs) # noqa: E501 else: (data) = self.read_cluster_role_with_http_info(name, **kwargs) # noqa: E501 return data def read_cluster_role_with_http_info(self, name, **kwargs): # noqa: E501 """read_cluster_role # noqa: E501 read the specified ClusterRole # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.read_cluster_role_with_http_info(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRole (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1ClusterRole If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'pretty'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method read_cluster_role" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `read_cluster_role`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterroles/{name}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1ClusterRole', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def read_cluster_role_binding(self, name, **kwargs): # noqa: E501 """read_cluster_role_binding # noqa: E501 read the specified ClusterRoleBinding # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.read_cluster_role_binding(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRoleBinding (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1ClusterRoleBinding If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.read_cluster_role_binding_with_http_info(name, **kwargs) # noqa: E501 else: (data) = self.read_cluster_role_binding_with_http_info(name, **kwargs) # noqa: E501 return data def read_cluster_role_binding_with_http_info(self, name, **kwargs): # noqa: E501 """read_cluster_role_binding # noqa: E501 read the specified ClusterRoleBinding # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.read_cluster_role_binding_with_http_info(name, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRoleBinding (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1ClusterRoleBinding If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'pretty'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method read_cluster_role_binding" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `read_cluster_role_binding`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterrolebindings/{name}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1ClusterRoleBinding', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def read_namespaced_role(self, name, namespace, **kwargs): # noqa: E501 """read_namespaced_role # noqa: E501 read the specified Role # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.read_namespaced_role(name, namespace, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the Role (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1Role If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.read_namespaced_role_with_http_info(name, namespace, **kwargs) # noqa: E501 else: (data) = self.read_namespaced_role_with_http_info(name, namespace, **kwargs) # noqa: E501 return data def read_namespaced_role_with_http_info(self, name, namespace, **kwargs): # noqa: E501 """read_namespaced_role # noqa: E501 read the specified Role # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.read_namespaced_role_with_http_info(name, namespace, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the Role (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1Role If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'pretty'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method read_namespaced_role" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `read_namespaced_role`") # noqa: E501 # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `read_namespaced_role`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/roles/{name}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1Role', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def read_namespaced_role_binding(self, name, namespace, **kwargs): # noqa: E501 """read_namespaced_role_binding # noqa: E501 read the specified RoleBinding # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.read_namespaced_role_binding(name, namespace, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the RoleBinding (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1RoleBinding If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.read_namespaced_role_binding_with_http_info(name, namespace, **kwargs) # noqa: E501 else: (data) = self.read_namespaced_role_binding_with_http_info(name, namespace, **kwargs) # noqa: E501 return data def read_namespaced_role_binding_with_http_info(self, name, namespace, **kwargs): # noqa: E501 """read_namespaced_role_binding # noqa: E501 read the specified RoleBinding # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.read_namespaced_role_binding_with_http_info(name, namespace, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the RoleBinding (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param str pretty: If 'true', then the output is pretty printed. :return: V1RoleBinding If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'pretty'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method read_namespaced_role_binding" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `read_namespaced_role_binding`") # noqa: E501 # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `read_namespaced_role_binding`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/rolebindings/{name}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1RoleBinding', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def replace_cluster_role(self, name, body, **kwargs): # noqa: E501 """replace_cluster_role # noqa: E501 replace the specified ClusterRole # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.replace_cluster_role(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRole (required) :param V1ClusterRole body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1ClusterRole If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.replace_cluster_role_with_http_info(name, body, **kwargs) # noqa: E501 else: (data) = self.replace_cluster_role_with_http_info(name, body, **kwargs) # noqa: E501 return data def replace_cluster_role_with_http_info(self, name, body, **kwargs): # noqa: E501 """replace_cluster_role # noqa: E501 replace the specified ClusterRole # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.replace_cluster_role_with_http_info(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRole (required) :param V1ClusterRole body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1ClusterRole If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'body', 'pretty', 'dry_run'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method replace_cluster_role" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `replace_cluster_role`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `replace_cluster_role`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterroles/{name}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1ClusterRole', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def replace_cluster_role_binding(self, name, body, **kwargs): # noqa: E501 """replace_cluster_role_binding # noqa: E501 replace the specified ClusterRoleBinding # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.replace_cluster_role_binding(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRoleBinding (required) :param V1ClusterRoleBinding body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1ClusterRoleBinding If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.replace_cluster_role_binding_with_http_info(name, body, **kwargs) # noqa: E501 else: (data) = self.replace_cluster_role_binding_with_http_info(name, body, **kwargs) # noqa: E501 return data def replace_cluster_role_binding_with_http_info(self, name, body, **kwargs): # noqa: E501 """replace_cluster_role_binding # noqa: E501 replace the specified ClusterRoleBinding # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.replace_cluster_role_binding_with_http_info(name, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the ClusterRoleBinding (required) :param V1ClusterRoleBinding body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1ClusterRoleBinding If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'body', 'pretty', 'dry_run'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method replace_cluster_role_binding" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `replace_cluster_role_binding`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `replace_cluster_role_binding`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/clusterrolebindings/{name}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1ClusterRoleBinding', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def replace_namespaced_role(self, name, namespace, body, **kwargs): # noqa: E501 """replace_namespaced_role # noqa: E501 replace the specified Role # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.replace_namespaced_role(name, namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the Role (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1Role body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1Role If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.replace_namespaced_role_with_http_info(name, namespace, body, **kwargs) # noqa: E501 else: (data) = self.replace_namespaced_role_with_http_info(name, namespace, body, **kwargs) # noqa: E501 return data def replace_namespaced_role_with_http_info(self, name, namespace, body, **kwargs): # noqa: E501 """replace_namespaced_role # noqa: E501 replace the specified Role # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.replace_namespaced_role_with_http_info(name, namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the Role (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1Role body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1Role If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty', 'dry_run'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method replace_namespaced_role" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `replace_namespaced_role`") # noqa: E501 # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `replace_namespaced_role`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `replace_namespaced_role`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/roles/{name}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1Role', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def replace_namespaced_role_binding(self, name, namespace, body, **kwargs): # noqa: E501 """replace_namespaced_role_binding # noqa: E501 replace the specified RoleBinding # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.replace_namespaced_role_binding(name, namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the RoleBinding (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1RoleBinding body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1RoleBinding If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.replace_namespaced_role_binding_with_http_info(name, namespace, body, **kwargs) # noqa: E501 else: (data) = self.replace_namespaced_role_binding_with_http_info(name, namespace, body, **kwargs) # noqa: E501 return data def replace_namespaced_role_binding_with_http_info(self, name, namespace, body, **kwargs): # noqa: E501 """replace_namespaced_role_binding # noqa: E501 replace the specified RoleBinding # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.replace_namespaced_role_binding_with_http_info(name, namespace, body, async_req=True) >>> result = thread.get() :param async_req bool :param str name: name of the RoleBinding (required) :param str namespace: object name and auth scope, such as for teams and projects (required) :param V1RoleBinding body: (required) :param str pretty: If 'true', then the output is pretty printed. :param str dry_run: When present, indicates that modifications should not be persisted. An invalid or unrecognized dryRun directive will result in an error response and no further processing of the request. Valid values are: - All: all dry run stages will be processed :return: V1RoleBinding If the method is called asynchronously, returns the request thread. """ all_params = ['name', 'namespace', 'body', 'pretty', 'dry_run'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method replace_namespaced_role_binding" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'name' is set if ('name' not in params or params['name'] is None): raise ValueError("Missing the required parameter `name` when calling `replace_namespaced_role_binding`") # noqa: E501 # verify the required parameter 'namespace' is set if ('namespace' not in params or params['namespace'] is None): raise ValueError("Missing the required parameter `namespace` when calling `replace_namespaced_role_binding`") # noqa: E501 # verify the required parameter 'body' is set if ('body' not in params or params['body'] is None): raise ValueError("Missing the required parameter `body` when calling `replace_namespaced_role_binding`") # noqa: E501 collection_formats = {} path_params = {} if 'name' in params: path_params['name'] = params['name'] # noqa: E501 if 'namespace' in params: path_params['namespace'] = params['namespace'] # noqa: E501 query_params = [] if 'pretty' in params: query_params.append(('pretty', params['pretty'])) # noqa: E501 if 'dry_run' in params: query_params.append(('dryRun', params['dry_run'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['*/*']) # noqa: E501 # Authentication setting auth_settings = ['BearerToken'] # noqa: E501 return self.api_client.call_api( '/apis/rbac.authorization.k8s.io/v1/namespaces/{namespace}/rolebindings/{name}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='V1RoleBinding', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

d9a268f19adc7700cf1335eb9dfc2c8d74c5a4dc

py

Python

tools/utils.py

vahini01/electoral_rolls

82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44

2018-01-22T02:03:09.000Z

2022-02-24T07:16:47.000Z

tools/utils.py

vahini01/electoral_rolls

82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44

2019-02-01T02:48:17.000Z

2020-09-06T06:09:35.000Z

tools/utils.py

vahini01/electoral_rolls

82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44

2018-01-22T06:48:07.000Z

2021-08-08T16:26:12.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Fri Nov 10 23:28:58 2017 @author: dhingratul """ import urllib.request import os from selenium import webdriver from selenium.webdriver.support.ui import Select from bs4 import BeautifulSoup import ssl import requests import wget from PyPDF2 import PdfFileReader def download_file(pdf_url, mdir, filename, flag=False): if flag is True: context = ssl._create_unverified_context() response = urllib.request.urlopen(pdf_url, context=context) else: response = urllib.request.urlopen(pdf_url) filename = mdir + filename file = open(filename, 'wb') file.write(response.read()) if os.stat(filename).st_size == 0: flag = 0 else: flag = 1 file.close() return flag def download_file_R(pdf_url, mdir, filename, file_out): requests.packages.urllib3.disable_warnings() while True: # Keep trying until the webpage successfully downloads try: r = requests.get(pdf_url, verify=False, timeout=10) break # If it downloads, get out and get on with life # If it doesn't download after the timeout period, an exceptions is thrown, and we try again except requests.exceptions.RequestException as e: with open(file_out, "a") as myfile: myfile.write(pdf_url + '\n') filename = mdir + filename with open(filename, 'wb') as f: f.write(r.content) if os.stat(filename).st_size == 0: flag = 0 else: flag = 1 return flag def download_file_W(pdf_url, mdir, filename, flag=False): filename = mdir + filename ssl._create_default_https_context = ssl._create_unverified_context wget.download(pdf_url, filename) if os.stat(filename).st_size == 0: flag = 0 else: flag = 1 return flag def getDriver(url): driver = webdriver.Chrome() driver.get(url) return driver def is_valid_pdf(fn): """Check is the PDF valid """ try: with open(fn, 'rb') as f: pdf = PdfFileReader(f) numpages = pdf.numPages return (numpages > 0) except Exception as e: return False

d9a3883f0ea5d080d5d4d2e05df6fadcaeb5c36e

py

Python

exp/viz_raw_manhattan.py

ellencwade/coronavirus-2020

b71e018deb8df8450b4d88ddbcd6ded6497aa8f9

exp/viz_raw_manhattan.py

ellencwade/coronavirus-2020

b71e018deb8df8450b4d88ddbcd6ded6497aa8f9

exp/viz_raw_manhattan.py

ellencwade/coronavirus-2020

b71e018deb8df8450b4d88ddbcd6ded6497aa8f9

""" Experiment summary ------------------ Treat each province/state in a country cases over time as a vector, do a simple K-Nearest Neighbor between countries. What country has the most similar trajectory to a given country? Plots similar countries """ import sys sys.path.insert(0, '..') from utils import data import os import sklearn import numpy as np import json import matplotlib.pyplot as plt plt.style.use('fivethirtyeight') # ------------ HYPERPARAMETERS ------------- BASE_PATH = '../COVID-19/csse_covid_19_data/' # ------------------------------------------ confirmed = os.path.join( BASE_PATH, 'csse_covid_19_time_series', 'time_series_covid19_confirmed_global.csv') confirmed = data.load_csv_data(confirmed) features = [] targets = [] fig = plt.figure(figsize=(12, 12)) ax = fig.add_subplot(111) cm = plt.get_cmap('jet') NUM_COLORS = 0 LINE_STYLES = ['solid', 'dashed', 'dotted'] NUM_STYLES = len(LINE_STYLES) dist_diff = os.path.join('../exp/results/', 'knn_raw.json') f = open(dist_diff,) dist_diff = json.load(f) for region, dist in dist_diff.items(): plt.style.use('fivethirtyeight') fig = plt.figure(figsize=(12, 12)) ax = fig.add_subplot(111) cm = plt.get_cmap('jet') other_region = dist['manhattan'][0] regions = [region, other_region] for val in regions: df = data.filter_by_attribute( confirmed, "Country/Region", val) cases, labels = data.get_cases_chronologically(df) cases = cases.sum(axis=0) lines = ax.plot(cases, label=val) ax.set_ylabel('# of confirmed cases') ax.set_xlabel("Time (days since Jan 22, 2020)") ax.set_yscale('log') ax.legend() plt.tight_layout() region = region.replace('*', '') other_region = other_region.replace('*', '') plt.title(f'Comparing confirmed cases in {region} and {other_region}') plt.savefig(f'results/raw_manhattan/{region}.png') plt.close() print(region)

d9a428c026d2352f281b2b7ddd8ec8a286d37297

py

Python

rational/mxnet/rationals.py

steven-lang/rational_activations

234623dbb9360c215c430185b09e2237d5186b54

rational/mxnet/rationals.py

steven-lang/rational_activations

234623dbb9360c215c430185b09e2237d5186b54

rational/mxnet/rationals.py

steven-lang/rational_activations

234623dbb9360c215c430185b09e2237d5186b54

""" Rational Activation Functions for MXNET ======================================= This module allows you to create Rational Neural Networks using Learnable Rational activation functions with MXNET networks. """ import mxnet as mx from mxnet import initializer from mxnet.gluon import HybridBlock from rational.utils.get_weights import get_parameters from rational.mxnet.versions import _version_a, _version_b, _version_c, _version_d from rational._base.rational_base import Rational_base class Rational(Rational_base, HybridBlock): """ Rational Activation Function, inheriting from ``mxnet.gluon.HybridBlock``. Arguments: approx_func (str): The name of the approximated function for initialisation. The different functions are available in `rational.rationals_config.json`. Default: ``leaky_relu`` degrees (tuple of int): The degrees of the numerator (P) and denominator (Q). Default ``(5, 4)`` cuda (bool): whether to execute on cuda device. NOTE: THIS PARAMETER IS CURRENTLY NOT CONSIDERED. CUDA GPUS ARE USED WHEN IT IS POSSIBLE version (str): Version of Rational to use. Rational(x) = P(x)/Q(x), where P(x) = (a_0 + a_1 * x + a_2 * x^2 + ... + a_n * x^n) and `A`: Q(x) = (1 + |b_0 * x| + | b_1 * x^2| + ... + | b_m * x^{m+1}|) `B`: Q(x) = (1 + |b_0 * x + b_1 * x^2 + ... + b_m * x^{m + 1}|) `C`: Q(x) = (0.1 + |b_0 + b_1 * x + b_2 * x^2 + ... + b_m * x^m|) `D`: like `B` with noised coefficients b_i Default ``A`` trainable (bool): Whether the weights are trainable, i.e, if they are updated during backward pass. Default ``True`` Returns: HybridBlock: Rational hybrid block """ def __init__(self, approx_func='leaky_relu', degrees=(5, 4), cuda=False, version='A', trainable=True, **kwargs): super(Rational, self).__init__(**kwargs) # read initial parameter configuration from external files w_numerator, w_denominator = get_parameters( version, degrees, approx_func) # convert w_numerator and w_denominator to mxnet arrays w_numerator = mx.nd.array(w_numerator) w_denominator = mx.nd.array(w_denominator) # register the amount of weights in numerator and denominator, since we need them during # symbolic execution, but are unable to retrieve them at later stages self.numerator_length = len(w_numerator) self.denominator_length = len(w_denominator) self.training = trainable self.degrees = degrees self.version = version self.init_approximation = approx_func # set specified context (currently not happening, since unclear, how and why helpful) # self.device = gpu() if cuda else cpu() # register and configure weights (numerator and denominator coefficients) with self.name_scope(): self.numerator = self.params.get(name='w_numerator', shape=(len(w_numerator),), init=initializer.Constant( w_numerator), grad_req='write' if trainable else 'null', differentiable=trainable) self.denominator = self.params.get(name='w_denominator', shape=(len(w_denominator),), init=initializer.Constant( w_denominator), grad_req='write' if trainable else 'null', differentiable=trainable) # register whether function is trainable, since this information needs to be passed to # version D self.training = trainable self.init_approximation = approx_func # set rational activation function version self.rational_func = {'A': _version_a, 'B': _version_b, 'C': _version_c, 'D': _version_d} \ .get(version) if self.rational_func is None: raise ValueError( "rational activation function version %s not implemented" % version) def hybrid_forward(self, F, x, numerator, denominator): return self.rational_func(F, x, numerator, denominator, self.training, self.numerator_length, self.denominator_length) def numpy(self): """ Returns a numpy version of this activation function. """ from rational.numpy import Rational as Rational_numpy rational_n = Rational_numpy(self.init_approximation, self.degrees, self.version) rational_n.numerator = self.numerator.data().asnumpy().tolist() rational_n.denominator = self.denominator.data().asnumpy().tolist() return rational_n

d9a6621d903359b14c87695eb4a1ac8dcea18138

py

Python

torchflare/criterion/utils.py

Neklaustares-tPtwP/torchflare

7af6b01ef7c26f0277a041619081f6df4eb1e42c

2021-09-14T08:38:05.000Z

2021-09-14T08:38:05.000Z

torchflare/criterion/utils.py

weidao-Shi/torchflare

3c55b5a0761f2e85dd6da95767c6ec03f0f5baad

torchflare/criterion/utils.py

weidao-Shi/torchflare

3c55b5a0761f2e85dd6da95767c6ec03f0f5baad

2021-08-06T19:24:43.000Z

2021-08-06T19:24:43.000Z

"""Utils for criterion.""" import torch import torch.nn.functional as F def normalize(x, axis=-1): """Performs L2-Norm.""" num = x denom = torch.norm(x, 2, axis, keepdim=True).expand_as(x) + 1e-12 return num / denom # Source : https://github.com/earhian/Humpback-Whale-Identification-1st-/blob/master/models/triplet_loss.py def euclidean_dist(x, y): """Computes Euclidean distance.""" m, n = x.size(0), y.size(0) xx = torch.pow(x, 2).sum(1, keepdim=True).expand(m, n) yy = torch.pow(x, 2).sum(1, keepdim=True).expand(m, m).t() dist = xx + yy - 2 * torch.matmul(x, y.t()) dist = dist.clamp(min=1e-12).sqrt() return dist def cosine_dist(x, y): """Computes Cosine Distance.""" x = F.normalize(x, dim=1) y = F.normalize(y, dim=1) dist = 2 - 2 * torch.mm(x, y.t()) return dist

d9a714b3484177f5fee5427d98c53a86bf48daf3

py

Python

tests/__init__.py

eloo/sensor.sbahn_munich

05e05a845178ab529dc4c80e924035fe1d072b55

tests/__init__.py

eloo/sensor.sbahn_munich

05e05a845178ab529dc4c80e924035fe1d072b55

tests/__init__.py

eloo/sensor.sbahn_munich

05e05a845178ab529dc4c80e924035fe1d072b55

"""Tests for the sbahn_munich integration""" line_dict = { "name": "S3", "color": "#333333", "text_color": "#444444", }

d9a88e74a4ac032ae6e8218d9ec1ed42e6092d32

py

Python

app/views/web/homestack.py

geudrik/hautomation

0baae29e85cd68658a0f8578de2e36e42945053f

app/views/web/homestack.py

geudrik/hautomation

0baae29e85cd68658a0f8578de2e36e42945053f

app/views/web/homestack.py

geudrik/hautomation

0baae29e85cd68658a0f8578de2e36e42945053f

#! /usr/bin/env python2.7 # -*- coding: latin-1 -*- from flask import Blueprint from flask import current_app from flask import render_template from flask_login import login_required homestack = Blueprint("homestack", __name__, url_prefix="/homestack") @homestack.route("/", methods=["GET"]) @login_required def home(): return render_template("homestack/home.html")

d9a90a5af3f207f1020cbf41f94830b75e23fbc9

py

Python

readthedocs/donate/forms.py

gamearming/readthedocs

53d0094f657f549326a86b8bd0ccf924c2126941

readthedocs/donate/forms.py

gamearming/readthedocs

53d0094f657f549326a86b8bd0ccf924c2126941

readthedocs/donate/forms.py

gamearming/readthedocs

53d0094f657f549326a86b8bd0ccf924c2126941

"""Forms for RTD donations""" import logging from django import forms from django.conf import settings from django.utils.translation import ugettext_lazy as _ from readthedocs.payments.forms import StripeModelForm, StripeResourceMixin from readthedocs.payments.utils import stripe from .models import Supporter log = logging.getLogger(__name__) class SupporterForm(StripeResourceMixin, StripeModelForm): """Donation support sign up form This extends the basic payment form, giving fields for credit card number, expiry, and CVV. The proper Knockout data bindings are established on :py:class:`StripeModelForm` """ class Meta: model = Supporter fields = ( 'last_4_digits', 'name', 'email', 'dollars', 'logo_url', 'site_url', 'public', ) labels = { 'public': _('Make this donation public'), } help_texts = { 'public': _('Your name and image will be displayed on the donation page'), 'email': _('Your email is used for Gravatar and so we can send you a receipt'), 'logo_url': _("URL of your company's logo, images should be 300x300 pixels or less"), 'dollars': _('Companies donating over $400 can specify a logo URL and site link'), } widgets = { 'dollars': forms.HiddenInput(attrs={ 'data-bind': 'value: dollars' }), 'logo_url': forms.TextInput(attrs={ 'data-bind': 'value: logo_url, enable: urls_enabled' }), 'site_url': forms.TextInput(attrs={ 'data-bind': 'value: site_url, enable: urls_enabled' }), 'last_4_digits': forms.TextInput(attrs={ 'data-bind': 'valueInit: card_digits, value: card_digits' }), } last_4_digits = forms.CharField(widget=forms.HiddenInput(), required=True) name = forms.CharField(required=True) email = forms.CharField(required=True) def __init__(self, *args, **kwargs): self.user = kwargs.pop('user') super(SupporterForm, self).__init__(*args, **kwargs) def validate_stripe(self): """Call stripe for payment (not ideal here) and clean up logo < $200""" dollars = self.cleaned_data['dollars'] if dollars < 200: self.cleaned_data['logo_url'] = None self.cleaned_data['site_url'] = None stripe.Charge.create( amount=int(self.cleaned_data['dollars']) * 100, currency='usd', source=self.cleaned_data['stripe_token'], description='Read the Docs Sustained Engineering', receipt_email=self.cleaned_data['email'] ) def save(self, commit=True): supporter = super(SupporterForm, self).save(commit) if commit and self.user is not None and self.user.is_authenticated(): supporter.user = self.user supporter.save() return supporter class EthicalAdForm(StripeResourceMixin, StripeModelForm): """Payment form for ethical ads This extends the basic payment form, giving fields for credit card number, expiry, and CVV. The proper Knockout data bindings are established on :py:class:`StripeModelForm` """ class Meta: model = Supporter fields = ( 'last_4_digits', 'name', 'email', 'dollars', ) help_texts = { 'email': _('Your email is used so we can send you a receipt'), } widgets = { 'dollars': forms.HiddenInput(attrs={ 'data-bind': 'value: dollars' }), 'last_4_digits': forms.TextInput(attrs={ 'data-bind': 'valueInit: card_digits, value: card_digits' }), } last_4_digits = forms.CharField(widget=forms.HiddenInput(), required=True) name = forms.CharField(required=True) email = forms.CharField(required=True) def validate_stripe(self): stripe.Charge.create( amount=int(self.cleaned_data['dollars']) * 100, currency='usd', source=self.cleaned_data['stripe_token'], description='Read the Docs Sponsorship Payment', receipt_email=self.cleaned_data['email'] )

d9ad95f0461bd02e44c310b1381567e8524c288c

py

Python

pandas_datareaders_unofficial/datareaders/google_finance_options.py

movermeyer/pandas_datareaders_unofficial

458dcf473d070cd7686d53d4a9b479cbe0ab9218

2015-02-05T01:42:51.000Z

2020-12-27T19:24:25.000Z

pandas_datareaders_unofficial/datareaders/google_finance_options.py

movermeyer/pandas_datareaders_unofficial

458dcf473d070cd7686d53d4a9b479cbe0ab9218

2015-01-12T11:08:02.000Z

2015-01-13T09:14:47.000Z

pandas_datareaders_unofficial/datareaders/google_finance_options.py

femtotrader/pandas_datareaders

458dcf473d070cd7686d53d4a9b479cbe0ab9218

2015-09-10T19:39:51.000Z

2022-01-06T17:08:35.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- from .base import DataReaderBase from ..tools import COL, _get_dates, to_float, to_int import pandas as pd #from pandas.tseries.frequencies import to_offset from six.moves import cStringIO as StringIO import logging import traceback import datetime import json import token, tokenize def ymd_to_date(y, m, d): """ Returns date >>> expiration = {u'd': 1, u'm': 12, u'y': 2014} >>> ymd_to_date(**expiration) datetime.date(2014, 12, 1) >>> ymd_to_date(2014, 3, 1) datetime.date(2014, 3, 1) """ return(datetime.date(year=y, month=m, day=d)) def date_to_ymd(date): """ Returns dict like {'y': ..., 'm': ..., 'd': ...} >>> date_to_ymd(datetime.date(year=2010, month=1, day=3)) {'y': 2010, 'm': 1, 'd': 3} """ d = { 'y': date.year, 'm': date.month, 'd': date.day } return(d) def fix_lazy_json(in_text): """ Handle lazy JSON - to fix expecting property name this function fixes the json output from google http://stackoverflow.com/questions/4033633/handling-lazy-json-in-python-expecting-property-name """ tokengen = tokenize.generate_tokens(StringIO(in_text).readline) result = [] for tokid, tokval, _, _, _ in tokengen: # fix unquoted strings if (tokid == token.NAME): if tokval not in ['true', 'false', 'null', '-Infinity', 'Infinity', 'NaN']: tokid = token.STRING tokval = u'"%s"' % tokval # fix single-quoted strings elif (tokid == token.STRING): if tokval.startswith ("'"): tokval = u'"%s"' % tokval[1:-1].replace ('"', '\\"') # remove invalid commas elif (tokid == token.OP) and ((tokval == '}') or (tokval == ']')): if (len(result) > 0) and (result[-1][1] == ','): result.pop() # fix single-quoted strings elif (tokid == token.STRING): if tokval.startswith ("'"): tokval = u'"%s"' % tokval[1:-1].replace ('"', '\\"') result.append((tokid, tokval)) return tokenize.untokenize(result) def json_decode(json_string): try: ret = json.loads(json_string) except: json_string = fix_lazy_json(json_string) ret = json.loads(json_string) return ret class DataReaderGoogleFinanceOptions(DataReaderBase): """ DataReader to fetch data from Google Finance Options see https://www.google.com/finance/option_chain https://github.com/makmac213/python-google-option-chain http://www.drtomstarke.com/index.php/option-chains-from-google-finance-api """ def init(self, *args, **kwargs): self._get_multi = self._get_multi_todict def _get_one(self, name, *args, **kwargs): return(self._get_one_raw(name, 'All', 'json')) def _get_one_raw(self, symbol, typ='All', output='json', y='2014', m='12', d='1'): url = "https://www.google.com/finance/option_chain" params = { 'q': symbol, 'type': typ, 'output': output, } data = self._get_content(url, params) d = {} lst = [] for typ in [u'puts', u'calls']: df_typ = pd.DataFrame(data[typ]) df_typ['Type'] = typ lst.append(df_typ) del data[typ] for i, expiration in enumerate(data['expirations']): params = { 'q': symbol, 'output': output, 'expy': expiration['y'], 'expm': expiration['m'], 'expd': expiration['d'], } data = self._get_content(url, params) for typ in [u'puts', u'calls']: df_typ = pd.DataFrame(data[typ]) df_typ['Type'] = typ lst.append(df_typ) del data[typ] lst.append(df_typ) df = pd.concat(lst, axis=0, ignore_index=True) d_cols = { "a": "Ask", "b": "Bid", "p": "Last", "strike": "Strike", "expiry": "Expiry", "vol": "Volume", "name": "Name" } df = df.rename(columns=d_cols) """ d_cols = { "a": "ask", "b": "bid", "c": "change", "cid": "identity code", "cp": "cp" "cs": change direction. "chg" = up, "chr" = down, "chg"? "e": # I think this tells us something about what country where the stock is traded. "OPRA" means USA. "expiry": expiration date for this option "name": I don't know. I have never seen a value for this "oi": open interest. How many of these are currently being held by others. See, http://www.investopedia.com/terms/o/openinterest.asp "p": price, last "s": option code. Basically, Stock Symbol + 7 if mini option + date + "C" or "P" + price "strike": "strike price for this option" "vol": "the volume of options traded." } """ for col in ['Ask', 'Bid', 'c', 'cp', 'Last', 'Strike']: df[col] = df[col].map(to_float) for col in ['Volume', 'oi', 'cid']: df[col] = df[col].map(to_int) df['Expiry'] = pd.to_datetime(df['Expiry']) data['options'] = df data['underlying_id'] = int(data['underlying_id']) data['expiry'] = ymd_to_date(**data['expiry']) for i, expiration in enumerate(data['expirations']): data['expirations'][i] = ymd_to_date(**expiration) #for col in ['Volume']: # df[col] = df[col].fillna(0) #d = {} #d["options"] = df #return(d) return(data) def _get_content(self, url, params): #response = requests.get(url, params=params) response = self.session.get(url, params=params) if response.status_code == 200: content_json = response.text data = json_decode(content_json) return(data) if __name__ == "__main__": import doctest doctest.testmod()

d9adb9ef68a4c2ce5de1ed13aea3230964400996

py

Python

keras_textclassification/data_preprocess/generator_preprocess.py

Vail-qin/Keras-TextClassification

8acda5ae37db2647c8ecaa70027ffc6003d2abca

2019-12-27T16:59:16.000Z

2019-12-27T16:59:16.000Z

keras_textclassification/data_preprocess/generator_preprocess.py

Yolo-Cultivate/Keras-TextClassification

183cf7b3483588bfe10d19b65124e52df5b338f8

keras_textclassification/data_preprocess/generator_preprocess.py

Yolo-Cultivate/Keras-TextClassification

183cf7b3483588bfe10d19b65124e52df5b338f8

2022-01-11T06:37:54.000Z

2022-01-11T06:37:54.000Z

# !/usr/bin/python # -*- coding: utf-8 -*- # @time : 2019/11/2 21:08 # @author : Mo # @function: from keras_textclassification.data_preprocess.text_preprocess import load_json, save_json from keras_textclassification.conf.path_config import path_model_dir path_fast_text_model_vocab2index = path_model_dir + 'vocab2index.json' path_fast_text_model_l2i_i2l = path_model_dir + 'l2i_i2l.json' import numpy as np import os class PreprocessGenerator: """ 数据预处理, 输入为csv格式, [label,ques] """ def __init__(self): self.l2i_i2l = None if os.path.exists(path_fast_text_model_l2i_i2l): self.l2i_i2l = load_json(path_fast_text_model_l2i_i2l) def prereocess_idx(self, pred): if os.path.exists(path_fast_text_model_l2i_i2l): pred_i2l = {} i2l = self.l2i_i2l['i2l'] for i in range(len(pred)): pred_i2l[i2l[str(i)]] = pred[i] pred_i2l_rank = [sorted(pred_i2l.items(), key=lambda k: k[1], reverse=True)] return pred_i2l_rank else: raise RuntimeError("path_fast_text_model_label2index is None") def prereocess_pred_xid(self, pred): if os.path.exists(path_fast_text_model_l2i_i2l): pred_l2i = {} l2i = self.l2i_i2l['l2i'] for i in range(len(pred)): pred_l2i[pred[i]] = l2i[pred[i]] pred_l2i_rank = [sorted(pred_l2i.items(), key=lambda k: k[1], reverse=True)] return pred_l2i_rank else: raise RuntimeError("path_fast_text_model_label2index is None") def preprocess_get_label_set(self, path): # 首先获取label,set,即存在的具体类 label_set = set() len_all = 0 file_csv = open(path, "r", encoding="utf-8") for line in file_csv: len_all += 1 if len_all > 1: # 第一条是标签'label,ques'，不选择 line_sp = line.split(",") label_org = str(line_sp[0]).strip().upper() label_real = "NAN" if label_org=="" else label_org label_set.add(label_real) file_csv.close() return label_set, len_all def preprocess_label_ques_to_idx(self, embedding_type, batch_size, path, embed, rate=1): label_set, len_all = self.preprocess_get_label_set(path) # 获取label转index字典等, 如果label2index存在则不转换了, dev验证集合的时候用 if not os.path.exists(path_fast_text_model_l2i_i2l): count = 0 label2index = {} index2label = {} for label_one in label_set: label2index[label_one] = count index2label[count] = label_one count = count + 1 l2i_i2l = {} l2i_i2l['l2i'] = label2index l2i_i2l['i2l'] = index2label save_json(l2i_i2l, path_fast_text_model_l2i_i2l) else: l2i_i2l = load_json(path_fast_text_model_l2i_i2l) # 读取数据的比例 len_ql = int(rate * len_all) if len_ql <= 500: # sample时候不生效,使得语料足够训练 len_ql = len_all def process_line(line): # 对每一条数据操作，获取label和问句index line_sp = line.split(",") ques = str(line_sp[1]).strip().upper() label = str(line_sp[0]).strip().upper() label = "NAN" if label == "" else label que_embed = embed.sentence2idx(ques) label_zeros = [0] * len(l2i_i2l['l2i']) label_zeros[l2i_i2l['l2i'][label]] = 1 return que_embed, label_zeros while True: file_csv = open(path, "r", encoding="utf-8") cout_all_line = 0 cnt = 0 x, y = [], [] # 跳出循环 if len_ql < cout_all_line: break for line in file_csv: cout_all_line += 1 if cout_all_line > 1: # 第一条是标签'label,ques'，不选择 x_line, y_line = process_line(line) x.append(x_line) y.append(y_line) cnt += 1 if cnt == batch_size: if embedding_type in ['bert', 'albert']: x_, y_ = np.array(x), np.array(y) x_1 = np.array([x[0] for x in x_]) x_2 = np.array([x[1] for x in x_]) x_all = [x_1, x_2] elif embedding_type == 'xlnet': x_, y_ = x, np.array(y) x_1 = np.array([x[0][0] for x in x_]) x_2 = np.array([x[1][0] for x in x_]) x_3 = np.array([x[2][0] for x in x_]) x_all = [x_1, x_2, x_3] else: x_all, y_ = np.array(x), np.array(y) cnt = 0 yield (x_all, y_) x, y =[], [] file_csv.close() print("preprocess_label_ques_to_idx ok")

d9aeee22298fa03239ef3d63fdcaa4984d37ba63

py

Python

content/test/gpu/gpu_tests/pixel_expectations.py

metux/chromium-deb

3c08e9b89a1b6f95f103a61ff4f528dbcd57fc42

content/test/gpu/gpu_tests/pixel_expectations.py

metux/chromium-deb

3c08e9b89a1b6f95f103a61ff4f528dbcd57fc42

content/test/gpu/gpu_tests/pixel_expectations.py

metux/chromium-deb

3c08e9b89a1b6f95f103a61ff4f528dbcd57fc42

# Copyright 2014 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. from gpu_tests.gpu_test_expectations import GpuTestExpectations # See the GpuTestExpectations class for documentation. class PixelExpectations(GpuTestExpectations): def SetExpectations(self): # Sample Usage: # self.Fail('Pixel_Canvas2DRedBox', # ['mac', 'amd', ('nvidia', 0x1234)], bug=123) # Seems to be flaky on the new AMD R7 240 drivers. self.Flaky('Pixel_GpuRasterization_BlueBox', ['win', ('amd', 0x6613)], bug=653538) # Software compositing is not supported on Android; so we skip these tests # that disables gpu compositing on Android platforms. self.Skip('Pixel_OffscreenCanvasUnaccelerated2D', ['android']) self.Skip('Pixel_OffscreenCanvasUnaccelerated2DWorker', ['android']) self.Skip('Pixel_OffscreenCanvasWebGLSoftwareCompositing', ['android']) self.Skip('Pixel_OffscreenCanvasWebGLSoftwareCompositingWorker', ['android']) self.Skip('Pixel_CanvasDisplayLinearRGBUnaccelerated2D', ['android']) self.Fail('Pixel_ScissorTestWithPreserveDrawingBuffer', ['android'], bug=521588) # TODO(ccameron) fix these on Mac Retina self.Fail('Pixel_CSS3DBlueBox', ['mac'], bug=533690) # TODO(vmiura) check / generate reference images for Android devices self.Fail('Pixel_SolidColorBackground', ['mac', 'android'], bug=624256) self.Fail('Pixel_OffscreenCanvasUnaccelerated2DGPUCompositingWorker', ['mac', ('nvidia', 0xfe9)], bug=706016) self.Fail('Pixel_CSSFilterEffects', ['mac', ('nvidia', 0xfe9)], bug=690277) # TODO(kbr): flakily timing out on this configuration. self.Flaky('*', ['linux', 'intel', 'debug'], bug=648369) self.Flaky('Pixel_Video_MP4', ['android', 'nvidia'], bug=716564) # Flaky for unknown reasons only on macOS. Not planning to investigate # further. self.Flaky('Pixel_ScissorTestWithPreserveDrawingBuffer', ['mac'], bug=660461) self.Flaky('Pixel_OffscreenCanvas2DResizeOnWorker', ['win10', ('intel', 0x1912)], bug=690663) # TODO(zakerinasab): check / generate reference images. self.Fail('Pixel_Canvas2DUntagged', bug=713632) self.Flaky('Pixel_OffscreenCanvasTransferBeforeStyleResize', ['mac', 'linux', 'win', 'android'], bug=735228) self.Flaky('Pixel_OffscreenCanvasTransferAfterStyleResize', ['mac', 'linux', 'win', 'android'], bug=735171) # TODO(junov): update reference images self.Fail('Pixel_CSSFilterEffects', ['mac'], bug=721727) self.Fail('Pixel_CSSFilterEffects_NoOverlays', ['mac'], bug=721727) # TODO(dshwang): remove these after new reference images are generated. self.Fail('Pixel_DirectComposition_Video_MP4', bug=615325) self.Fail('Pixel_DirectComposition_Video_VP9', bug=615325) self.Fail('Pixel_Video_MP4', bug=615325) self.Fail('Pixel_Video_VP9', bug=615325)

d9afca45a6adc9c41c0b981032c729d59e9db234

py

Python

examples/p02_budgets/budget_data_ingest/migrations/0001_initial.py

18F/data-federation-ingest

a896ef2da1faf3966f018366b26a338bb66cc717

2019-07-26T13:43:01.000Z

2022-01-15T14:57:52.000Z

examples/p02_budgets/budget_data_ingest/migrations/0001_initial.py

18F/data-federation-ingest

a896ef2da1faf3966f018366b26a338bb66cc717

2019-06-14T18:30:54.000Z

2021-08-03T09:25:02.000Z

examples/p02_budgets/budget_data_ingest/migrations/0001_initial.py

18F/data-federation-ingest

a896ef2da1faf3966f018366b26a338bb66cc717

2020-01-23T04:48:18.000Z

2021-01-12T09:31:20.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.11.13 on 2018-06-08 22:54 from __future__ import unicode_literals from django.conf import settings import django.contrib.postgres.fields.jsonb from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='BudgetItem', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('year', models.IntegerField()), ('agency', models.TextField()), ('data_source', models.TextField()), ('category', models.TextField()), ('dollars_budgeted', models.DecimalField(decimal_places=2, max_digits=14)), ('dollars_spent', models.DecimalField(decimal_places=2, max_digits=14)), ('row_number', models.IntegerField()), ], ), migrations.CreateModel( name='Upload', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('file_metadata', django.contrib.postgres.fields.jsonb.JSONField(null=True)), ('file', models.FileField(upload_to='')), ('raw', models.BinaryField(null=True)), ('validation_results', django.contrib.postgres.fields.jsonb.JSONField(null=True)), ('status', models.CharField(choices=[('LOADING', 'Loading'), ('PENDING', 'Pending'), ('STAGED', 'Staged'), ('INSERTED', 'Inserted'), ('DELETED', 'Deleted')], default='LOADING', max_length=10)), ('status_changed_at', models.DateTimeField(null=True)), ('replaces', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='replaced_by', to='budget_data_ingest.Upload')), ('status_changed_by', models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, related_name='+', to=settings.AUTH_USER_MODEL)), ('submitter', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], options={ 'abstract': False, }, ), migrations.AddField( model_name='budgetitem', name='upload', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='budget_data_ingest.Upload'), ), ]

d9b0c3d32e07c56a0732f0fca454740538a940fe

py

Python

setup.py

Kaslanarian/PythonSVM

715eeef2a245736167addf45a6aee8b40b54d0c7

2021-09-25T01:00:37.000Z

2021-09-27T12:13:24.000Z

setup.py

Kaslanarian/PythonSVM

715eeef2a245736167addf45a6aee8b40b54d0c7

2021-09-17T12:08:14.000Z

2021-09-17T12:08:14.000Z

setup.py

Kaslanarian/PythonSVM

715eeef2a245736167addf45a6aee8b40b54d0c7

import setuptools #enables develop setuptools.setup( name='pysvm', version='0.1', description='PySVM : A NumPy implementation of SVM based on SMO algorithm', author_email="191300064@smail.nju.edu.cn", packages=['pysvm'], license='MIT License', long_description=open('README.md', encoding='utf-8').read(), install_requires=[ #自动安装依赖 'numpy', 'sklearn' ], url='https://github.com/Kaslanarian/PySVM', )

d9b0df7f5ef294a68858d836af143c289d120187

py

Python

Object_detection_image.py

hiperus0988/pyao

72c56975a3d45aa033bdf7650b5369d59240395f

2021-06-09T22:17:57.000Z

2021-06-09T22:17:57.000Z

Object_detection_image.py

hiperus0988/pyao

72c56975a3d45aa033bdf7650b5369d59240395f

Object_detection_image.py

hiperus0988/pyao

72c56975a3d45aa033bdf7650b5369d59240395f

######## Image Object Detection Using Tensorflow-trained Classifier ######### # # Author: Evan Juras # Date: 1/15/18 # Description: # This program uses a TensorFlow-trained classifier to perform object detection. # It loads the classifier uses it to perform object detection on an image. # It draws boxes and scores around the objects of interest in the image. ## Some of the code is copied from Google's example at ## https://github.com/tensorflow/models/blob/master/research/object_detection/object_detection_tutorial.ipynb ## and some is copied from Dat Tran's example at ## https://github.com/datitran/object_detector_app/blob/master/object_detection_app.py ## but I changed it to make it more understandable to me. # Import packages import os import cv2 import numpy as np import tensorflow as tf import sys # This is needed since the notebook is stored in the object_detection folder. sys.path.append("..") # Import utilites from utils import label_map_util from utils import visualization_utils as vis_util # Name of the directory containing the object detection module we're using MODEL_NAME = 'inference_graph' IMAGE_NAME = 'test1.jpg' # Grab path to current working directory CWD_PATH = os.getcwd() # Path to frozen detection graph .pb file, which contains the model that is used # for object detection. PATH_TO_CKPT = os.path.join(CWD_PATH,MODEL_NAME,'frozen_inference_graph.pb') # Path to label map file PATH_TO_LABELS = os.path.join(CWD_PATH,'training','labelmap.pbtxt') # Path to image PATH_TO_IMAGE = os.path.join(CWD_PATH,IMAGE_NAME) # Number of classes the object detector can identify NUM_CLASSES = 6 # Load the label map. # Label maps map indices to category names, so that when our convolution # network predicts `5`, we know that this corresponds to `king`. # Here we use internal utility functions, but anything that returns a # dictionary mapping integers to appropriate string labels would be fine label_map = label_map_util.load_labelmap(PATH_TO_LABELS) categories = label_map_util.convert_label_map_to_categories(label_map, max_num_classes=NUM_CLASSES, use_display_name=True) category_index = label_map_util.create_category_index(categories) # Load the Tensorflow model into memory. detection_graph = tf.Graph() with detection_graph.as_default(): od_graph_def = tf.GraphDef() with tf.gfile.GFile(PATH_TO_CKPT, 'rb') as fid: serialized_graph = fid.read() od_graph_def.ParseFromString(serialized_graph) tf.import_graph_def(od_graph_def, name='') sess = tf.Session(graph=detection_graph) # Define input and output tensors (i.e. data) for the object detection classifier # Input tensor is the image image_tensor = detection_graph.get_tensor_by_name('image_tensor:0') # Output tensors are the detection boxes, scores, and classes # Each box represents a part of the image where a particular object was detected detection_boxes = detection_graph.get_tensor_by_name('detection_boxes:0') # Each score represents level of confidence for each of the objects. # The score is shown on the result image, together with the class label. detection_scores = detection_graph.get_tensor_by_name('detection_scores:0') detection_classes = detection_graph.get_tensor_by_name('detection_classes:0') # Number of objects detected num_detections = detection_graph.get_tensor_by_name('num_detections:0') # Load image using OpenCV and # expand image dimensions to have shape: [1, None, None, 3] # i.e. a single-column array, where each item in the column has the pixel RGB value image = cv2.imread(PATH_TO_IMAGE) image_expanded = np.expand_dims(image, axis=0) # Perform the actual detection by running the model with the image as input (boxes, scores, classes, num) = sess.run( [detection_boxes, detection_scores, detection_classes, num_detections], feed_dict={image_tensor: image_expanded}) # Draw the results of the detection (aka 'visulaize the results') vis_util.visualize_boxes_and_labels_on_image_array( image, np.squeeze(boxes), np.squeeze(classes).astype(np.int32), np.squeeze(scores), category_index, use_normalized_coordinates=True, line_thickness=8, min_score_thresh=0.60) # All the results have been drawn on image. Now display the image. cv2.imshow('Object detector', image) # Press any key to close the image cv2.waitKey(0) # Clean up cv2.destroyAllWindows()

d9b2e0c418fbf0ff7ba59e80c34fb2974714b1c9

py

Python

polling_stations/apps/data_collection/management/commands/import_torbay.py

chris48s/UK-Polling-Stations

4742b527dae94f0276d35c80460837be743b7d17

polling_stations/apps/data_collection/management/commands/import_torbay.py

chris48s/UK-Polling-Stations

4742b527dae94f0276d35c80460837be743b7d17

polling_stations/apps/data_collection/management/commands/import_torbay.py

chris48s/UK-Polling-Stations

4742b527dae94f0276d35c80460837be743b7d17

from data_collection.management.commands import BaseXpressDemocracyClubCsvImporter class Command(BaseXpressDemocracyClubCsvImporter): council_id = 'E06000027' addresses_name = 'parl.2017-06-08/Version 1/Torbay Democracy_Club__08June2017.tsv' stations_name = 'parl.2017-06-08/Version 1/Torbay Democracy_Club__08June2017.tsv' elections = ['parl.2017-06-08'] csv_delimiter = '\t'

d9b38469f6b00b7a441fff875e4ecd7bcc272b7e

py

Python

Backend/product/views.py

Bhavya0020/Readopolis

a0053e4fae97dc8291b50c746f3dc3e6b454ad95

Backend/product/views.py

Bhavya0020/Readopolis

a0053e4fae97dc8291b50c746f3dc3e6b454ad95

Backend/product/views.py

Bhavya0020/Readopolis

a0053e4fae97dc8291b50c746f3dc3e6b454ad95

from django.db.models import Q from django.shortcuts import render from django.http import Http404 # Create your views here. from rest_framework.views import APIView from rest_framework.response import Response from rest_framework.decorators import api_view from .models import Product, Category from .serializers import ProductSerializer, CategorySerializer class LatestProductsList(APIView): def get(self, request, format=None): products = Product.objects.all()[0:4] serializer = ProductSerializer(products,many=True) return Response(serializer.data) class ProductDetail(APIView): def get_object(self, category_slug, product_slug): try: return Product.objects.filter(category__slug=category_slug).get(slug=product_slug) except Product.DoesNotExist: raise Http404 def get(self, request, category_slug, product_slug, format= None): product = self.get_object(category_slug, product_slug) serializer = ProductSerializer(product) return Response(serializer.data) class CategoryDetail(APIView): def get_object(self, category_slug): try: return Category.objects.get(slug=category_slug) except Category.DoesNotExist: raise Http404 def get(self, request, category_slug, format= None): category = self.get_object(category_slug) serializer = CategorySerializer(category) return Response(serializer.data) @api_view(['POST']) def search(request): query = request.data.get('query', '') if query: products = Product.objects.filter(Q(name__icontains=query) | Q(description__icontains=query)) serializer = ProductSerializer(products, many=True) return Response(serializer.data) else: return Response({"products": []})

d9b42bca24804913cf6908775c04bc29a0bec6df

py

Python

model/contact.py

hubogeri/python_training

7a918040e4c8bae5a031134911bc8b465f322699

model/contact.py

hubogeri/python_training

7a918040e4c8bae5a031134911bc8b465f322699

model/contact.py

hubogeri/python_training

7a918040e4c8bae5a031134911bc8b465f322699

from sys import maxsize class Contact: def __init__(self, fname=None, mname=None, lname=None, nick=None, title=None, comp=None, addr=None, home=None, mobile=None, work=None, fax=None, email1=None, email2=None, email3=None, homepage=None, bday=None, bmonth=None, byear=None, aday=None, amonth=None, ayear=None, secaddr=None, secphone=None, note=None, id =None): self.fname = fname self.mname = mname self.lname = lname self.nick = nick self.title = title self.comp = comp self.addr = addr self.home = home self.mobile = mobile self.work = work self.fax = fax self.email1 = email1 self.email2 = email2 self.email3 = email3 self.homepage = homepage self.bday = bday self.bmonth = bmonth self.byear = byear self.aday = aday self.amonth = amonth self.ayear = ayear self.secaddr = secaddr self.secphone = secphone self.note = note self.id = id def __repr__(self): return "%s:%s:%s" % (self.id, self.fname, self.lname) def __eq__(self, other): return (self.id is None or other.id is None or self.id == other.id) and self.fname == other.fname and self.lname == other.lname def id_or_max(self): if self.id: return int(self.id) else: return maxsize

d9b4cabd9071c90b544409b5b87e3302450b1278

py

Python

test/IECore/BasicPreset.py

ericmehl/cortex

054839cc709ce153d1bcaaefe7f340ebe641ec82

2015-01-02T11:10:43.000Z

2022-03-10T15:12:20.000Z

test/IECore/BasicPreset.py

ericmehl/cortex

054839cc709ce153d1bcaaefe7f340ebe641ec82

2015-01-09T18:28:06.000Z

2022-03-31T16:02:04.000Z

test/IECore/BasicPreset.py

ericmehl/cortex

054839cc709ce153d1bcaaefe7f340ebe641ec82

2015-01-28T23:18:04.000Z

2022-03-27T00:59:39.000Z

########################################################################## # # Copyright (c) 2010-2012, Image Engine Design Inc. All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are # met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in the # documentation and/or other materials provided with the distribution. # # * Neither the name of Image Engine Design nor the names of any # other contributors to this software may be used to endorse or # promote products derived from this software without specific prior # written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS # IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, # THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR # PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR # CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR # PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF # LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING # NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. # ########################################################################## from __future__ import with_statement import os import sys import shutil import unittest import IECore class TestBasicPreset( unittest.TestCase ) : def testCopy( self ) : testObj = IECore.Parameterised( "testParameterised1" ) testObj.parameters().addParameters( [ IECore.BoolParameter( "a", "", True ), IECore.FloatParameter( "b", "", 1.0 ), ] ) testObj2 = IECore.Parameterised( "testParameterised2" ) testObj2.parameters().addParameters( [ IECore.BoolParameter( "a", "", False ), IECore.FloatParameter( "c", "", 0.0 ), ] ) p = IECore.BasicPreset( testObj, testObj.parameters() ) self.assertTrue( p.applicableTo( testObj, testObj.parameters() ) ) self.assertFalse( p.applicableTo( testObj2, testObj2.parameters() ) ) testObj.parameters()["a"].setTypedValue( False ) testObj.parameters()["b"].setTypedValue( 0.0 ) p( testObj, testObj.parameters() ) self.assertEqual( testObj.parameters()["a"].getTypedValue(), True ) self.assertEqual( testObj.parameters()["b"].getTypedValue(), 1.0 ) p2 = IECore.BasicPreset( testObj, testObj.parameters(), parameters=( testObj.parameters()["a"], ) ) self.assertTrue( p2.applicableTo( testObj, testObj.parameters() ) ) self.assertTrue( p2.applicableTo( testObj2, testObj.parameters() ) ) p2( testObj2, testObj2.parameters() ) self.assertEqual( testObj2.parameters()["a"].getTypedValue(), True ) self.assertEqual( testObj2.parameters()["c"].getTypedValue(), 0.0 ) def testLoad( self ) : testObj = IECore.Parameterised( "testParameterised1" ) testObj.parameters().addParameters( [ IECore.BoolParameter( "a", "", True ), IECore.FloatParameter( "b", "", 1.0 ), ] ) testObj2 = IECore.Parameterised( "testParameterised1" ) testObj2.parameters().addParameters( [ IECore.BoolParameter( "a", "", False ), IECore.FloatParameter( "c", "", 0.0 ), ] ) savePath = os.path.abspath( os.path.join( os.path.dirname( __file__ ), "data", "basicPreset" ) ) messageHandler = IECore.CapturingMessageHandler() with messageHandler : p = IECore.BasicPreset( os.path.join( savePath, "basicPresetLoadTest", "basicPresetLoadTest-1.cob" ) ) self.assertEqual( len( messageHandler.messages ), 0 ) self.assertTrue( p.applicableTo( testObj, testObj.parameters() ) ) self.assertFalse( p.applicableTo( testObj2, testObj2.parameters() ) ) testObj.parameters()["a"].setTypedValue( False ) testObj.parameters()["b"].setTypedValue( 0.0 ) p( testObj, testObj.parameters() ) self.assertEqual( testObj.parameters()["a"].getTypedValue(), True ) self.assertEqual( testObj.parameters()["b"].getTypedValue(), 1.0 ) def testSave( self ) : testObj = IECore.Parameterised( "testParameterised1" ) testObj.parameters().addParameters( [ IECore.BoolParameter( "a", "", True ), IECore.FloatParameter( "b", "", 1.0 ), ] ) testObj2 = IECore.Parameterised( "testParameterised1" ) testObj2.parameters().addParameters( [ IECore.BoolParameter( "a", "", False ), IECore.FloatParameter( "c", "", 0.0 ), ] ) savePath = os.path.abspath( os.path.join( os.path.dirname( __file__ ), "data", "basicPreset" ) ) preset = IECore.BasicPreset( testObj, testObj.parameters() ) # Save for the classLoader and check its there, we test the 'loadability' later... preset.save( savePath, "basicPresetTest" ) self.assertTrue( os.path.isfile( os.path.join( savePath, "basicPresetTest", "basicPresetTest-1.cob" ) ) ) self.assertTrue( os.path.isfile( os.path.join( savePath, "basicPresetTest", "basicPresetTest-1.py" ) ) ) # save without the classLoader and check its there preset.save( savePath, "basicPresetTest", classLoadable=False ) self.assertTrue( os.path.isfile( os.path.join( savePath, "basicPresetTest.cob" ) ) ) # reload p = IECore.BasicPreset( os.path.join( savePath, "basicPresetTest.cob" ) ) self.assertTrue( p.applicableTo( testObj, testObj.parameters() ) ) self.assertFalse( p.applicableTo( testObj2, testObj2.parameters() ) ) testObj.parameters()["a"].setTypedValue( False ) testObj.parameters()["b"].setTypedValue( 0.0 ) p( testObj, testObj.parameters() ) self.assertEqual( testObj.parameters()["a"].getTypedValue(), True ) self.assertEqual( testObj.parameters()["b"].getTypedValue(), 1.0 ) preset2 = IECore.BasicPreset( testObj, testObj.parameters(), parameters=( testObj.parameters()["a"], ) ) preset2.save( savePath, "basicPresetTest2", classLoadable=False ) #reload p2 = IECore.BasicPreset( os.path.join( savePath, "basicPresetTest2.cob" ) ) self.assertTrue( p2.applicableTo( testObj, testObj.parameters() ) ) self.assertTrue( p2.applicableTo( testObj2, testObj.parameters() ) ) p2( testObj2, testObj2.parameters() ) self.assertEqual( testObj2.parameters()["a"].getTypedValue(), True ) self.assertEqual( testObj2.parameters()["c"].getTypedValue(), 0.0 ) def testClassLoader( self ) : testObj = IECore.Parameterised( "testParameterised1" ) testObj.parameters().addParameters( [ IECore.BoolParameter( "a", "", True ), IECore.FloatParameter( "b", "", 1.0 ), ] ) savePath = os.path.abspath( os.path.join( os.path.dirname( __file__ ), "data", "basicPreset" ) ) preset = IECore.BasicPreset( testObj, testObj.parameters() ) preset.save( savePath, "basicPresetTestClassLoader" ) # make sure that no messages are emitted during loading messageHandler = IECore.CapturingMessageHandler() with messageHandler : loader = IECore.ClassLoader( IECore.SearchPath( savePath ) ) p = loader.load( "basicPresetTestClassLoader" )() self.assertEqual( len( messageHandler.messages ), 0 ) self.assertTrue( isinstance( p, IECore.BasicPreset ) ) p.metadata() def testClasses( self ) : testObj = IECore.Parameterised( "testParameterised1" ) testObj.parameters().addParameters( [ IECore.BoolParameter( "a", "", True ), IECore.ClassParameter( "b", "", "IECORE_OP_PATHS", os.path.join( "maths", "multiply" ), 2 ), ] ) testObj2 = IECore.Parameterised( "testParameterised2" ) testObj2.parameters().addParameters( [ IECore.ClassParameter( "c", "", "IECORE_OP_PATHS" ), ] ) classes1 = testObj.parameters()["b"].getClass( True ) classes2 = testObj2.parameters()["c"].getClass( True ) self.assertNotEqual( classes1[1:], classes2[1:] ) p = IECore.BasicPreset( testObj, testObj.parameters()["b"] ) self.assertTrue( p.applicableTo( testObj, testObj.parameters()["b"] ) ) self.assertFalse( p.applicableTo( testObj, testObj.parameters() ) ) self.assertTrue( p.applicableTo( testObj2, testObj2.parameters()["c"] ) ) p( testObj2, testObj2.parameters()["c"] ) classes1 = testObj.parameters()["b"].getClass( True ) classes2 = testObj2.parameters()["c"].getClass( True ) self.assertEqual( classes1[1:], classes2[1:] ) def testClassVectors( self ) : testObj = IECore.Parameterised( "testParameterised1" ) testObj.parameters().addParameters( [ IECore.BoolParameter( "a", "", True ), IECore.ClassVectorParameter( "b", "", "IECORE_OP_PATHS" ), ] ) testObj.parameters()["b"].setClasses( [ ( "mult", os.path.join( "maths", "multiply" ), 2 ), ( "coIO", "compoundObjectInOut", 1 ), ] ) testObj2 = IECore.Parameterised( "testParameterised2" ) testObj2.parameters().addParameters( [ IECore.ClassVectorParameter( "c", "", "IECORE_OP_PATHS" ), ] ) classes1 = [ c[1:] for c in testObj.parameters()["b"].getClasses( True ) ] classes2 = [ c[1:] for c in testObj2.parameters()["c"].getClasses( True ) ] self.assertNotEqual( classes1, classes2 ) p = IECore.BasicPreset( testObj, testObj.parameters()["b"] ) self.assertTrue( p.applicableTo( testObj, testObj.parameters()["b"] ) ) self.assertFalse( p.applicableTo( testObj, testObj.parameters() ) ) self.assertTrue( p.applicableTo( testObj2, testObj2.parameters()["c"] ) ) p( testObj2, testObj2.parameters()["c"] ) classes1 = [ c[1:] for c in testObj.parameters()["b"].getClasses( True ) ] classes2 = [ c[1:] for c in testObj2.parameters()["c"].getClasses( True ) ] self.assertEqual( classes1, classes2 ) def testCompoundVectorParameter( self ) : p = IECore.Parameterised( "test" ) p.parameters().addParameters( [ IECore.BoolParameter( "a", "", False ), IECore.CompoundVectorParameter( "c", "", members = [ IECore.StringVectorParameter( "s", "", IECore.StringVectorData() ), IECore.BoolVectorParameter( "b", "", IECore.BoolVectorData() ), ] ) ] ) p["c"]["s"].setValue( IECore.StringVectorData( [ "1", "2", "3" ] ) ) p["c"]["b"].setValue( IECore.BoolVectorData( [ True, False, True ] ) ) v = p.parameters().getValue().copy() preset = IECore.BasicPreset( p, p.parameters() ) self.assertTrue( preset.applicableTo( p, p.parameters() ) ) p.parameters().setValue( p.parameters().defaultValue ) self.assertNotEqual( p.parameters().getValue(), v ) preset( p, p.parameters() ) self.assertEqual( p.parameters().getValue(), v ) def tearDown( self ) : savePath = os.path.abspath( os.path.join( os.path.dirname( __file__ ), "data", "basicPreset" ) ) paths = ( os.path.join( savePath, "basicPresetTest" ), os.path.join( savePath, "basicPresetTest.cob" ), os.path.join( savePath, "basicPresetTest2.cob" ), os.path.join( savePath, "basicPresetTestClassLoader" ), ) for p in paths : if os.path.isdir( p ) : shutil.rmtree( p ) elif os.path.isfile( p ) : os.remove( p ) if __name__ == "__main__": unittest.main()

d9b4da54ad6bdf7efb1efb5b210a443bc83b0db4

py

Python

rlpy/Domains/Pacman.py

imanolarrieta/RL

072a8c328652f45e053baecd640f04adf7f84b49

2019-12-07T13:47:43.000Z

2019-12-07T13:47:43.000Z

rlpy/Domains/Pacman.py

imanolarrieta/RL

072a8c328652f45e053baecd640f04adf7f84b49

rlpy/Domains/Pacman.py

imanolarrieta/RL

072a8c328652f45e053baecd640f04adf7f84b49

"""Pacman game domain.""" from rlpy.Tools import __rlpy_location__ from .Domain import Domain from .PacmanPackage import layout, pacman, game, ghostAgents from .PacmanPackage import graphicsDisplay import numpy as np from copy import deepcopy import os import time __copyright__ = "Copyright 2013, RLPy http://acl.mit.edu/RLPy" __credits__ = ["Alborz Geramifard", "Robert H. Klein", "Christoph Dann", "William Dabney", "Jonathan P. How"] __license__ = "BSD 3-Clause" __author__ = "Austin Hays" class Pacman(Domain): """ Pacman domain, which acts as a wrapper for the Pacman implementation from the BerkeleyX/CS188.1x course project 3. **STATE:** The state vector has a series of dimensions: * [2] The x and y coordinates of pacman * [3 * ng] the x and y coordinates as well as the scare time of each ghost ("scare time" is how long the ghost remains scared after consuming a capsule.) * [nf] binary variables indicating if a food is still on the board or not * [nc] binary variables for each capsule indicating if it is still on the board or not *nf* and *nc* are map-dependent, and *ng* can be set as a parameter. Based on above, total dimensionality of state vector is map-dependent, and given by (2 + 3*ng + nf + nc). **ACTIONS:** Move Pacman [up, down, left, right, stay] **REWARD:** See the Berkeley project website below for more info. .. note:: The visualization runs as fast as your CPU will permit; to slow things down so gameplay is actually visible, de-comment time.sleep() in the showDomain() method. **REFERENCE:** This domain is an RLPy wrapper for the implementation from the `BerkeleyX/CS188.1x course project 3 <https://courses.edx.org/courses/BerkeleyX/CS188.1x/2013_Spring/courseware/Week_9/Project_3_Reinforcement/>`_ See the original `source code (zipped) <https://courses.edx.org/static/content-berkeley-cs188x~2013_Spring/projects/reinforcement/reinforcement.zip>`_ For more details of the domain see the original package in the `Domains/PacmanPackage` folder. """ _max_scared_time = 39 actions = ["Stop", "North", "East", "South", "West"] actions_num = 5 episodeCap = 1000 #: location of layouts shipped with rlpy default_layout_dir = os.path.join( __rlpy_location__, "Domains", "PacmanPackage", "layouts") def __init__(self, noise=.1, timeout=30, layoutFile=os.path.join( default_layout_dir, 'trickyClassic.lay'), numGhostAgents=1000): """ layoutFile: filename of the map file noise: with this probability pacman makes a random move instead the one specified by the action """ self.noise = noise # Specifies which Pacman world you want self.layoutFile = layoutFile # Puts the file in line stripped format layout_file_content = self._tryToLoad(self.layoutFile) self.layout = layout.Layout(layout_file_content) # Number of ghosts self.numGhostAgents = numGhostAgents # Intitializes Pacman game self.game_state = pacman.GameState() self.game_rules = pacman.ClassicGameRules(timeout) self.layout_copy = deepcopy(self.layout) self.game_state.data.initialize(self.layout_copy, self.numGhostAgents) self.num_total_food = len(self.layout_copy.food.asList()) self.num_total_capsules = len(self.layout_copy.capsules) self._defaultSettings() self.restartGraphics = None self.timerswitch = False self.savedtimer = None self.gameDisplay = None self._set_statespace_limits() super(Pacman, self).__init__() def _set_statespace_limits(self): # Makes an array of limits for each dimension in the state vector. statespace_limits = [] # adds pacman x, y locations statespace_limits.append([1, self.layout.width - 2]) statespace_limits.append([1, self.layout.height - 2]) # adds ghost x, y locations and scaredTimer (how long they can be # eaten) for ghost in self.game_state.data.agentStates[1:]: statespace_limits.append([1, self.layout.width - 2]) statespace_limits.append([1, self.layout.height - 2]) statespace_limits.append([0, self._max_scared_time]) statespace_limits += [[0, 1]] * ( self.num_total_food + self.num_total_capsules) self.statespace_limits = np.array(statespace_limits, dtype="float") def _set_state(self, s): """ Takes a vector s and sets the internal game state used by the original pacman package. """ # copies most recent state data = self.game_state.data agent_states = data.agentStates # set pacman position agent_states.configuration.pos = (s[0], s[1]) # set ghost position num_ghosts = len(agent_states) - 1 for i in range(1, num_ghosts + 1): part_s = s[(3 * i) - 1:3 * i] agent_states[i].configuration.pos = (part_s[0], part_s[1]) agent_states[i].scaredTimer = part_s[2] # set food and capsules locations s_food = s[(num_ghosts + 1) * 3:] x = 0 y = 0 i = 0 data.capsules = [] for char in str(self.layout_copy): if char == ".": data.food[x][y] = bool(s_food[i]) i += 1 elif char == "o": coord = (x, self.layout_copy.height - y) if s_food[i]: data.capsules.append(coord) i += 1 elif char == "\n": y += 1 x = -1 x += 1 def _get_state(self): """ get the internal game state represented as a numpy array """ data = self.game_state.data agent_states = self.game_state.data.agentStates num_ghosts = len(agent_states) - 1 s = np.zeros( 2 + num_ghosts * 3 + self.num_total_food + self.num_total_capsules) # get pacman position s[:2] = agent_states[0].configuration.pos # import ipdb; ipdb.set_trace() # get ghost info for i in range(num_ghosts): s[2 + i * 3: 2 + i * 3 + 2] = agent_states[i + 1].configuration.pos s[2 + i * 3 + 2] = agent_states[i + 1].scaredTimer # get food and capsules status i = 2 + num_ghosts * 3 x = 0 y = 0 for char in str(self.layout_copy): if char == ".": s[i] = data.food[x][y] i += 1 elif char == "\n": y += 1 x = -1 elif char == "o": coord = (x, self.layout_copy.height - y) if coord in data.capsules: s[i] = 1. i += 1 x += 1 return s state = property(_get_state, _set_state) def showDomain(self, a, s=None): if s is not None: errStr = 'ERROR: In Pacman.py, attempted to pass a state (s)'\ 'to showDomain(); Pacman only supports internal states.'\ 'If you do pass a state parameter, ensure it is set to None.' raise Exception(errStr) s = self.game_state if self.gameDisplay is None: self.gameDisplay = graphicsDisplay.PacmanGraphics() self.gameDisplay.startGraphics(self) self.gameDisplay.drawStaticObjects(s.data) self.gameDisplay.drawAgentObjects(s.data) elif self._cleanup_graphics: self._cleanup_graphics = False self.gameDisplay.removeAllFood() self.gameDisplay.removeAllCapsules() self.gameDisplay.food = self.gameDisplay.drawFood( self.gameDisplay.layout.food) self.gameDisplay.capsules = self.gameDisplay.drawCapsules( self.gameDisplay.layout.capsules) # converts s vector in pacman gamestate instance and updates # the display every time pacman or a ghost moves. # s.data.food is the correct food matrix s.data.layout.food = s.data.food for agent in range(len(s.data.agentStates)): s.data._agentMoved = agent self.gameDisplay.update(s.data) s._foodEaten = None s._capsuleEaten = None # time.sleep(0.1) # Sleep for 0.1 sec def step(self, a): """ Applies actions from outside the Pacman domain to the given state. Internal states accounted for along with scoring and terminal checking. Returns a tuple of form (reward, new state vector, terminal) """ if self.random_state.random_sample() < self.noise: # Random Move a = self.random_state.choice(self.possibleActions()) a = self.actions[a] next_state_p = self.game_state.generateSuccessor(0, a) next_state = next_state_p # pacman performs action "a" in current state object # pacman.PacmanRules.applyAction(self.game_state, a) # pacman.GhostRules.checkDeath(self.game_state, 0) # the ghosts move randomly for i in range(1, len(self.game_state.data.agentStates)): if next_state.isWin() or next_state.isLose(): break ghostOptions = pacman.GhostRules.getLegalActions(next_state, i) # TODO: use domain random stream randomAction_ind = self.random_state.randint(len(ghostOptions)) randomAction = ghostOptions[randomAction_ind] next_state = next_state.generateSuccessor(i, randomAction) # keep track of eaten stuff for graphics (original code assumes # graphics are updated after every agent's move) next_state.data._foodEaten = next_state_p.data._foodEaten next_state.data._capsuleEaten = next_state_p.data._capsuleEaten # scoring in pacman r = next_state.data.score - self.game_state.data.score self.game_state = next_state terminal = self.isTerminal() return r, self._get_state(), terminal, self.possibleActions() def s0(self): """ re-initializes internal states when an episode starts, returns a s vector """ self.game_state = pacman.GameState() self.game_rules = pacman.ClassicGameRules(timeout=30) self.layout_copy = deepcopy(self.layout) self.game = self.game_rules.newGame( self.layout_copy, pacman, self.ghosts, DummyGraphics(), self.beQuiet, catchExceptions=False) self.game_state.data.initialize(self.layout_copy, self.numGhostAgents) self._cleanup_graphics = True return self.state, self.isTerminal(), self.possibleActions() def possibleActions(self): if self.isTerminal(): # somewhat hacky, but should not matter anyway, maybe clean up in # the future return np.array([0]) # makes an array of possible actions pacman can perform at any given # state possibleActions = [] possibleMoves = pacman.GameState.getLegalActions( self.game_state, agentIndex=0) for a in possibleMoves: possibleActions.append(self.actions.index(a)) return np.array(possibleActions) def isTerminal(self): """ Checks whether the game should terminate at the given state. (Terminate for failure, ie eaten by ghost or out of time, and for success, all food on map eaten.) If game should terminate, returns the proper indication to step function. Accounts for scoring changes in terminal states. """ return self.game_state.data._lose or self.game_state.data._win def _defaultSettings(self): self.ghostNum = 2 self.ghosts = [ghostAgents.RandomGhost( game.Agent) for i in range(self.ghostNum)] self.beQuiet = False def _tryToLoad(self, fullname): # used in getLayout function f = open(fullname) grid = [line.strip() for line in f] f.close() return grid class DummyGraphics(object): def initialize(self, *arg, **kwargs): pass def update(self, *arg, **kwargs): pass def finalize(self, *arg, **kwargs): pass

d9b4dfc1ad39620d7b5b2d1c39ad7fd8f6cec36b

py

Python

core/src/zeit/cms/settings/interfaces.py

rickdg/vivi

16134ac954bf8425646d4ad47bdd1f372e089355

2019-05-16T09:51:29.000Z

2021-05-31T09:30:03.000Z

core/src/zeit/cms/settings/interfaces.py

rickdg/vivi

16134ac954bf8425646d4ad47bdd1f372e089355

2019-05-24T12:19:02.000Z

2022-03-23T15:05:56.000Z

core/src/zeit/cms/settings/interfaces.py

rickdg/vivi

16134ac954bf8425646d4ad47bdd1f372e089355

2020-08-14T11:01:17.000Z

2022-01-08T17:32:19.000Z

from zeit.cms.i18n import MessageFactory as _ import zope.interface import zope.schema class IGlobalSettings(zope.interface.Interface): """Global CMS settings.""" default_year = zope.schema.Int( title=_("Default year"), min=1900, max=2100) default_volume = zope.schema.Int( title=_("Default volume"), min=1, max=54) def get_working_directory(template): """Return the collection which is the main working directory. template: Template which will be filled with year and volume. In ``template`` the placeholders $year and $volume will be replaced. Example: 'online/$year/$volume/foo' If the respective collection does not exist, it will be created before returning it. """

d9b55a7ee025f94a0ef3f125fa9c30f974dd7d6e

py

Python

abc/abc165/abc165e.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

2019-08-21T00:49:34.000Z

2019-08-21T00:49:34.000Z

abc/abc165/abc165e.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

abc/abc165/abc165e.py

c-yan/atcoder

940e49d576e6a2d734288fadaf368e486480a948

N, M = map(int, input().split()) for i in range(1, M + 1): if i % 2 == 1: j = (i - 1) // 2 print(1 + j, M + 1 - j) else: j = (i - 2) // 2 print(M + 2 + j, 2 * M + 1 - j)

d9b62ab258f0b51ef25d431f8fa66de9acd438a7

py

Python

setup.py

giggslam/python-messengerbot-sdk

4a6fadf96fe3425da9abc4726fbb84db6d84f7b5

2019-03-05T08:33:34.000Z

2021-12-13T01:52:47.000Z

setup.py

giggslam/python-messengerbot-sdk

4a6fadf96fe3425da9abc4726fbb84db6d84f7b5

setup.py

giggslam/python-messengerbot-sdk

4a6fadf96fe3425da9abc4726fbb84db6d84f7b5

2019-03-07T07:58:02.000Z

2020-12-18T10:08:47.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- # 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. import re import sys from setuptools import setup from setuptools.command.test import test as TestCommand __version__ = '' with open('facebookbot/__about__.py', 'r') as fd: reg = re.compile(r'__version__ = [\'"]([^\'"]*)[\'"]') for line in fd: m = reg.match(line) if m: __version__ = m.group(1) break def _requirements(): with open('requirements.txt', 'r') as fd: return [name.strip() for name in fd.readlines()] with open('README.rst', 'r') as fd: long_description = fd.read() setup( name="fbsdk", version=__version__, author="Sam Chang", author_email="t0915290092@gmail.com", maintainer="Sam Chang", maintainer_email="t0915290092@gmail.com", url="https://github.com/boompieman/fbsdk", description="Facebook Messaging API SDK for Python", long_description=long_description, license='Apache License 2.0', packages=[ "facebookbot", "facebookbot.models" ], install_requires=_requirements(), classifiers=[ "Development Status :: 5 - Production/Stable", "License :: OSI Approved :: Apache Software License", "Intended Audience :: Developers", "Programming Language :: Python :: 3", "Topic :: Software Development" ] )

d9b76c6f6bd2bcb1986a9d9701e4ee097a1ff3bf

py

Python

src/transformers/models/mmbt/modeling_mmbt.py

MaximovaIrina/transformers

033c3ed95a14b58f5a657f5124bc5988e4109c9f

2022-01-12T11:39:47.000Z

2022-01-12T11:39:47.000Z

src/transformers/models/mmbt/modeling_mmbt.py

AugustVIII/transformers

185876392c0dcd4c4bb02f2750822144a3bee545

src/transformers/models/mmbt/modeling_mmbt.py

AugustVIII/transformers

185876392c0dcd4c4bb02f2750822144a3bee545

# coding=utf-8 # Copyright (c) Facebook, Inc. and its affiliates. # Copyright (c) HuggingFace Inc. team. # # 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. """PyTorch MMBT model. """ import torch from torch import nn from torch.nn import CrossEntropyLoss, MSELoss from ...file_utils import add_start_docstrings, add_start_docstrings_to_model_forward, replace_return_docstrings from ...modeling_outputs import BaseModelOutputWithPooling, SequenceClassifierOutput from ...modeling_utils import ModuleUtilsMixin from ...utils import logging logger = logging.get_logger(__name__) _CONFIG_FOR_DOC = "MMBTConfig" class ModalEmbeddings(nn.Module): """Generic Modal Embeddings which takes in an encoder, and a transformer embedding.""" def __init__(self, config, encoder, embeddings): super().__init__() self.config = config self.encoder = encoder self.proj_embeddings = nn.Linear(config.modal_hidden_size, config.hidden_size) self.position_embeddings = embeddings.position_embeddings self.token_type_embeddings = embeddings.token_type_embeddings self.word_embeddings = embeddings.word_embeddings self.LayerNorm = embeddings.LayerNorm self.dropout = nn.Dropout(p=config.hidden_dropout_prob) def forward(self, input_modal, start_token=None, end_token=None, position_ids=None, token_type_ids=None): token_embeddings = self.proj_embeddings(self.encoder(input_modal)) seq_length = token_embeddings.size(1) if start_token is not None: start_token_embeds = self.word_embeddings(start_token) seq_length += 1 token_embeddings = torch.cat([start_token_embeds.unsqueeze(1), token_embeddings], dim=1) if end_token is not None: end_token_embeds = self.word_embeddings(end_token) seq_length += 1 token_embeddings = torch.cat([token_embeddings, end_token_embeds.unsqueeze(1)], dim=1) if position_ids is None: position_ids = torch.arange(seq_length, dtype=torch.long, device=input_modal.device) position_ids = position_ids.unsqueeze(0).expand(input_modal.size(0), seq_length) if token_type_ids is None: token_type_ids = torch.zeros( (input_modal.size(0), seq_length), dtype=torch.long, device=input_modal.device ) position_embeddings = self.position_embeddings(position_ids) token_type_embeddings = self.token_type_embeddings(token_type_ids) embeddings = token_embeddings + position_embeddings + token_type_embeddings embeddings = self.LayerNorm(embeddings) embeddings = self.dropout(embeddings) return embeddings MMBT_START_DOCSTRING = r""" MMBT model was proposed in [Supervised Multimodal Bitransformers for Classifying Images and Text](https://github.com/facebookresearch/mmbt) by Douwe Kiela, Suvrat Bhooshan, Hamed Firooz, Davide Testuggine. It's a supervised multimodal bitransformer model that fuses information from text and other image encoders, and obtain state-of-the-art performance on various multimodal classification benchmark tasks. This model inherits from [`PreTrainedModel`]. Check the superclass documentation for the generic methods the library implements for all its model (such as downloading or saving, resizing the input embeddings, pruning heads etc.) This model is also a PyTorch [torch.nn.Module](https://pytorch.org/docs/stable/nn.html#torch.nn.Module) subclass. Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general usage and behavior. Parameters: config ([`MMBTConfig`]): Model configuration class with all the parameters of the model. Initializing with a config file does not load the weights associated with the model, only the configuration. transformer (:class: *~nn.Module*): A text transformer that is used by MMBT. It should have embeddings, encoder, and pooler attributes. encoder (:class: *~nn.Module*): Encoder for the second modality. It should take in a batch of modal inputs and return k, n dimension embeddings. """ MMBT_INPUTS_DOCSTRING = r""" Args: input_modal (`torch.FloatTensor` of shape `(batch_size, ***)`): The other modality data. It will be the shape that the encoder for that type expects. e.g. With an Image Encoder, the shape would be (batch_size, channels, height, width) input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`): Indices of input sequence tokens in the vocabulary. It does not expect [CLS] token to be added as it's appended to the end of other modality embeddings. Indices can be obtained using [`BertTokenizer`]. See [`PreTrainedTokenizer.encode`] and [`PreTrainedTokenizer.__call__`] for details. [What are input IDs?](../glossary#input-ids) modal_start_tokens (`torch.LongTensor` of shape `(batch_size,)`, *optional*): Optional start token to be added to Other Modality Embedding. [CLS] Most commonly used for classification tasks. modal_end_tokens (`torch.LongTensor` of shape `(batch_size,)`, *optional*): Optional end token to be added to Other Modality Embedding. [SEP] Most commonly used. attention_mask (*optional*) `torch.FloatTensor` of shape `(batch_size, sequence_length)`: Mask to avoid performing attention on padding token indices. Mask values selected in `[0, 1]`: - 1 for tokens that are **not masked**, - 0 for tokens that are **masked**. [What are attention masks?](../glossary#attention-mask) token_type_ids (*optional*) `torch.LongTensor` of shape `(batch_size, sequence_length)`: Segment token indices to indicate first and second portions of the inputs. Indices are selected in `[0, 1]`: - 0 corresponds to a *sentence A* token, - 1 corresponds to a *sentence B* token. [What are token type IDs?](../glossary#token-type-ids) modal_token_type_ids (*optional*) `torch.LongTensor` of shape `(batch_size, modal_sequence_length)`: Segment token indices to indicate different portions of the non-text modality. The embeddings from these tokens will be summed with the respective token embeddings for the non-text modality. position_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): Indices of positions of each input sequence tokens in the position embeddings. Selected in the range `[0, config.max_position_embeddings - 1]`. [What are position IDs?](../glossary#position-ids) modal_position_ids (`torch.LongTensor` of shape `(batch_size, modal_sequence_length)`, *optional*): Indices of positions of each input sequence tokens in the position embeddings for the non-text modality. Selected in the range `[0, config.max_position_embeddings - 1]`. [What are position IDs?](../glossary#position-ids) head_mask (`torch.FloatTensor` of shape `(num_heads,)` or `(num_layers, num_heads)`, *optional*): Mask to nullify selected heads of the self-attention modules. Mask values selected in `[0, 1]`: - 1 indicates the head is **not masked**, - 0 indicates the head is **masked**. inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, embedding_dim)`, *optional*): Optionally, instead of passing `input_ids` you can choose to directly pass an embedded representation. This is useful if you want more control over how to convert `input_ids` indices into associated vectors than the model's internal embedding lookup matrix. encoder_hidden_states (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, *optional*): Sequence of hidden-states at the output of the last layer of the encoder. Used in the cross-attention if the model is configured as a decoder. encoder_attention_mask (`torch.FloatTensor` of shape `(batch_size, sequence_length)`, *optional*): Mask to avoid performing attention on the padding token indices of the encoder input. This mask is used in the cross-attention if the model is configured as a decoder. Mask values selected in `[0, 1]`: - 1 for tokens that are **not masked**, - 0 for tokens that are **masked**. output_attentions (`bool`, *optional*): Whether or not to return the attentions tensors of all attention layers. See `attentions` under returned tensors for more detail. output_hidden_states (`bool`, *optional*): Whether or not to return the hidden states of all layers. See `hidden_states` under returned tensors for more detail. return_dict (`bool`, *optional*): Whether or not to return a [`~file_utils.ModelOutput`] instead of a plain tuple. """ @add_start_docstrings( "The bare MMBT Model outputting raw hidden-states without any specific head on top.", MMBT_START_DOCSTRING, ) class MMBTModel(nn.Module, ModuleUtilsMixin): def __init__(self, config, transformer, encoder): super().__init__() self.config = config self.transformer = transformer self.modal_encoder = ModalEmbeddings(config, encoder, transformer.embeddings) @add_start_docstrings_to_model_forward(MMBT_INPUTS_DOCSTRING) @replace_return_docstrings(output_type=BaseModelOutputWithPooling, config_class=_CONFIG_FOR_DOC) def forward( self, input_modal, input_ids=None, modal_start_tokens=None, modal_end_tokens=None, attention_mask=None, token_type_ids=None, modal_token_type_ids=None, position_ids=None, modal_position_ids=None, head_mask=None, inputs_embeds=None, encoder_hidden_states=None, encoder_attention_mask=None, output_attentions=None, output_hidden_states=None, return_dict=None, ): r""" Returns: Examples:: # For example purposes. Not runnable. transformer = BertModel.from_pretrained('bert-base-uncased') encoder = ImageEncoder(args) mmbt = MMBTModel(config, transformer, encoder) """ output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions output_hidden_states = ( output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states ) return_dict = return_dict if return_dict is not None else self.config.use_return_dict if input_ids is not None and inputs_embeds is not None: raise ValueError("You cannot specify both input_ids and inputs_embeds at the same time") elif input_ids is not None: input_txt_shape = input_ids.size() elif inputs_embeds is not None: input_txt_shape = inputs_embeds.size()[:-1] else: raise ValueError("You have to specify either input_ids or inputs_embeds") device = input_ids.device if input_ids is not None else inputs_embeds.device modal_embeddings = self.modal_encoder( input_modal, start_token=modal_start_tokens, end_token=modal_end_tokens, position_ids=modal_position_ids, token_type_ids=modal_token_type_ids, ) input_modal_shape = modal_embeddings.size()[:-1] if token_type_ids is None: token_type_ids = torch.ones(input_txt_shape, dtype=torch.long, device=device) txt_embeddings = self.transformer.embeddings( input_ids=input_ids, position_ids=position_ids, token_type_ids=token_type_ids, inputs_embeds=inputs_embeds ) embedding_output = torch.cat([modal_embeddings, txt_embeddings], 1) input_shape = embedding_output.size()[:-1] if attention_mask is None: attention_mask = torch.ones(input_shape, device=device) else: attention_mask = torch.cat( [torch.ones(input_modal_shape, device=device, dtype=torch.long), attention_mask], dim=1 ) if encoder_attention_mask is None: encoder_attention_mask = torch.ones(input_shape, device=device) else: encoder_attention_mask = torch.cat( [torch.ones(input_modal_shape, device=device), encoder_attention_mask], dim=1 ) extended_attention_mask = self.get_extended_attention_mask(attention_mask, input_shape, self.device) encoder_extended_attention_mask = self.invert_attention_mask(encoder_attention_mask) head_mask = self.get_head_mask(head_mask, self.config.num_hidden_layers) encoder_outputs = self.transformer.encoder( embedding_output, attention_mask=extended_attention_mask, head_mask=head_mask, encoder_hidden_states=encoder_hidden_states, encoder_attention_mask=encoder_extended_attention_mask, output_attentions=output_attentions, output_hidden_states=output_hidden_states, return_dict=return_dict, ) sequence_output = encoder_outputs[0] pooled_output = self.transformer.pooler(sequence_output) if not return_dict: return (sequence_output, pooled_output) + encoder_outputs[1:] return BaseModelOutputWithPooling( last_hidden_state=sequence_output, pooler_output=pooled_output, hidden_states=encoder_outputs.hidden_states, attentions=encoder_outputs.attentions, ) def get_input_embeddings(self): return self.embeddings.word_embeddings def set_input_embeddings(self, value): self.embeddings.word_embeddings = value @add_start_docstrings( """ MMBT Model with a sequence classification/regression head on top (a linear layer on top of the pooled output) """, MMBT_START_DOCSTRING, MMBT_INPUTS_DOCSTRING, ) class MMBTForClassification(nn.Module): r""" **labels**: (*optional*) `torch.LongTensor` of shape `(batch_size,)`: Labels for computing the sequence classification/regression loss. Indices should be in `[0, ..., config.num_labels - 1]`. If `config.num_labels == 1` a regression loss is computed (Mean-Square loss), If `config.num_labels > 1` a classification loss is computed (Cross-Entropy). Returns: *Tuple* comprising various elements depending on the configuration (config) and inputs: **loss**: (*optional*, returned when `labels` is provided) `torch.FloatTensor` of shape `(1,)`: Classification (or regression if config.num_labels==1) loss. **logits**: `torch.FloatTensor` of shape `(batch_size, config.num_labels)` Classification (or regression if config.num_labels==1) scores (before SoftMax). **hidden_states**: (*optional*, returned when `output_hidden_states=True`) list of `torch.FloatTensor` (one for the output of each layer + the output of the embeddings) of shape `(batch_size, sequence_length, hidden_size)`: Hidden-states of the model at the output of each layer plus the initial embedding outputs. **attentions**: (*optional*, returned when `output_attentions=True`) list of `torch.FloatTensor` (one for each layer) of shape `(batch_size, num_heads, sequence_length, sequence_length)`: Attentions weights after the attention softmax, used to compute the weighted average in the self-attention heads. Examples: ```python # For example purposes. Not runnable. transformer = BertModel.from_pretrained('bert-base-uncased') encoder = ImageEncoder(args) model = MMBTForClassification(config, transformer, encoder) outputs = model(input_modal, input_ids, labels=labels) loss, logits = outputs[:2] ```""" def __init__(self, config, transformer, encoder): super().__init__() self.num_labels = config.num_labels self.mmbt = MMBTModel(config, transformer, encoder) self.dropout = nn.Dropout(config.hidden_dropout_prob) self.classifier = nn.Linear(config.hidden_size, config.num_labels) def forward( self, input_modal, input_ids=None, modal_start_tokens=None, modal_end_tokens=None, attention_mask=None, token_type_ids=None, modal_token_type_ids=None, position_ids=None, modal_position_ids=None, head_mask=None, inputs_embeds=None, labels=None, return_dict=None, ): return_dict = return_dict if return_dict is not None else self.config.use_return_dict outputs = self.mmbt( input_modal=input_modal, input_ids=input_ids, modal_start_tokens=modal_start_tokens, modal_end_tokens=modal_end_tokens, attention_mask=attention_mask, token_type_ids=token_type_ids, modal_token_type_ids=modal_token_type_ids, position_ids=position_ids, modal_position_ids=modal_position_ids, head_mask=head_mask, inputs_embeds=inputs_embeds, return_dict=return_dict, ) pooled_output = outputs[1] pooled_output = self.dropout(pooled_output) logits = self.classifier(pooled_output) loss = None if labels is not None: if self.num_labels == 1: # We are doing regression loss_fct = MSELoss() loss = loss_fct(logits.view(-1), labels.view(-1)) else: loss_fct = CrossEntropyLoss() loss = loss_fct(logits.view(-1, self.num_labels), labels.view(-1)) if not return_dict: output = (logits,) + outputs[2:] return ((loss,) + output) if loss is not None else output return SequenceClassifierOutput( loss=loss, logits=logits, hidden_states=outputs.hidden_states, attentions=outputs.attentions, )

d9b79f86fa592dbe24c72c454192af966a916a5a

py

Python

eth2/beacon/chains/base.py

mhchia/trinity

e40e475064ca4605887706e9b0e4f8e2349b10cd

eth2/beacon/chains/base.py

mhchia/trinity

e40e475064ca4605887706e9b0e4f8e2349b10cd

eth2/beacon/chains/base.py

mhchia/trinity

e40e475064ca4605887706e9b0e4f8e2349b10cd

from abc import ( ABC, abstractmethod, ) import logging from typing import ( TYPE_CHECKING, Tuple, Type, ) from eth._utils.datatypes import ( Configurable, ) from eth.db.backends.base import ( BaseAtomicDB, ) from eth.exceptions import ( BlockNotFound, ) from eth.validation import ( validate_word, ) from eth_typing import ( Hash32, ) from eth_utils import ( ValidationError, encode_hex, ) from eth2._utils.ssz import ( validate_imported_block_unchanged, ) from eth2.beacon.db.chain import ( BaseBeaconChainDB, BeaconChainDB, ) from eth2.beacon.exceptions import ( BlockClassError, StateMachineNotFound, ) from eth2.beacon.types.blocks import ( BaseBeaconBlock, ) from eth2.beacon.types.states import ( BeaconState, ) from eth2.beacon.typing import ( FromBlockParams, Slot, ) from eth2.beacon.validation import ( validate_slot, ) if TYPE_CHECKING: from eth2.beacon.state_machines.base import ( # noqa: F401 BaseBeaconStateMachine, ) class BaseBeaconChain(Configurable, ABC): """ The base class for all BeaconChain objects """ chaindb = None # type: BaseBeaconChainDB chaindb_class = None # type: Type[BaseBeaconChainDB] sm_configuration = None # type: Tuple[Tuple[Slot, Type[BaseBeaconStateMachine]], ...] chain_id = None # type: int # # Helpers # @classmethod @abstractmethod def get_chaindb_class(cls) -> Type[BaseBeaconChainDB]: pass # # Chain API # @classmethod @abstractmethod def from_genesis(cls, base_db: BaseAtomicDB, genesis_state: BeaconState, genesis_block: BaseBeaconBlock) -> 'BaseBeaconChain': pass # # State Machine API # @classmethod @abstractmethod def get_state_machine_class( cls, block: BaseBeaconBlock) -> Type['BaseBeaconStateMachine']: pass @abstractmethod def get_state_machine(self, at_block: BaseBeaconBlock=None) -> 'BaseBeaconStateMachine': pass @classmethod @abstractmethod def get_state_machine_class_for_block_slot( cls, slot: Slot) -> Type['BaseBeaconStateMachine']: pass # # Block API # @abstractmethod def get_block_class(self, block_root: Hash32) -> Type[BaseBeaconBlock]: pass @abstractmethod def create_block_from_parent(self, parent_block: BaseBeaconBlock, block_params: FromBlockParams) -> BaseBeaconBlock: pass @abstractmethod def get_block_by_root(self, block_root: Hash32) -> BaseBeaconBlock: pass @abstractmethod def get_canonical_head(self) -> BaseBeaconBlock: pass @abstractmethod def get_score(self, block_root: Hash32) -> int: pass @abstractmethod def ensure_block(self, block: BaseBeaconBlock=None) -> BaseBeaconBlock: pass @abstractmethod def get_block(self) -> BaseBeaconBlock: pass @abstractmethod def get_canonical_block_by_slot(self, slot: Slot) -> BaseBeaconBlock: pass @abstractmethod def get_canonical_block_root(self, slot: Slot) -> Hash32: pass @abstractmethod def import_block( self, block: BaseBeaconBlock, perform_validation: bool=True ) -> Tuple[BaseBeaconBlock, Tuple[BaseBeaconBlock, ...], Tuple[BaseBeaconBlock, ...]]: pass class BeaconChain(BaseBeaconChain): """ A Chain is a combination of one or more ``StateMachine`` classes. Each ``StateMachine`` is associated with a range of slots. The Chain class acts as a wrapper around these other StateMachine classes, delegating operations to the appropriate StateMachine depending on the current block slot number. """ logger = logging.getLogger("eth2.beacon.chains.BeaconChain") chaindb_class = BeaconChainDB # type: Type[BaseBeaconChainDB] def __init__(self, base_db: BaseAtomicDB) -> None: if not self.sm_configuration: raise ValueError( "The Chain class cannot be instantiated with an empty `sm_configuration`" ) else: # TODO implment validate_sm_configuration(self.sm_configuration) # validate_sm_configuration(self.sm_configuration) pass self.chaindb = self.get_chaindb_class()(base_db) # # Helpers # @classmethod def get_chaindb_class(cls) -> Type['BaseBeaconChainDB']: if cls.chaindb_class is None: raise AttributeError("`chaindb_class` not set") return cls.chaindb_class # # Chain API # @classmethod def from_genesis(cls, base_db: BaseAtomicDB, genesis_state: BeaconState, genesis_block: BaseBeaconBlock) -> 'BaseBeaconChain': """ Initialize the ``BeaconChain`` from a genesis state. """ sm_class = cls.get_state_machine_class_for_block_slot(genesis_block.slot) if type(genesis_block) != sm_class.block_class: raise BlockClassError( "Given genesis block class: {}, StateMachine.block_class: {}".format( type(genesis_block), sm_class.block_class ) ) chaindb = cls.get_chaindb_class()(db=base_db) chaindb.persist_state(genesis_state) return cls._from_genesis_block(base_db, genesis_block) @classmethod def _from_genesis_block(cls, base_db: BaseAtomicDB, genesis_block: BaseBeaconBlock) -> 'BaseBeaconChain': """ Initialize the ``BeaconChain`` from the genesis block. """ chaindb = cls.get_chaindb_class()(db=base_db) chaindb.persist_block(genesis_block, genesis_block.__class__) return cls(base_db) # # StateMachine API # @classmethod def get_state_machine_class(cls, block: BaseBeaconBlock) -> Type['BaseBeaconStateMachine']: """ Returns the ``StateMachine`` instance for the given block slot number. """ return cls.get_state_machine_class_for_block_slot(block.slot) @classmethod def get_state_machine_class_for_block_slot( cls, slot: Slot) -> Type['BaseBeaconStateMachine']: """ Return the ``StateMachine`` class for the given block slot number. """ if cls.sm_configuration is None: raise AttributeError("Chain classes must define the StateMachines in sm_configuration") validate_slot(slot) for start_slot, sm_class in reversed(cls.sm_configuration): if slot >= start_slot: return sm_class raise StateMachineNotFound("No StateMachine available for block slot: #{0}".format(slot)) def get_state_machine(self, at_block: BaseBeaconBlock=None) -> 'BaseBeaconStateMachine': """ Return the ``StateMachine`` instance for the given block number. """ block = self.ensure_block(at_block) sm_class = self.get_state_machine_class_for_block_slot(block.slot) return sm_class( chaindb=self.chaindb, block=block, ) # # Block API # def get_block_class(self, block_root: Hash32) -> Type[BaseBeaconBlock]: slot = self.chaindb.get_slot_by_root(block_root) sm_class = self.get_state_machine_class_for_block_slot(slot) block_class = sm_class.block_class return block_class def create_block_from_parent(self, parent_block: BaseBeaconBlock, block_params: FromBlockParams) -> BaseBeaconBlock: """ Passthrough helper to the ``StateMachine`` class of the block descending from the given block. """ return self.get_state_machine_class_for_block_slot( slot=parent_block.slot + 1 if block_params.slot is None else block_params.slot, ).create_block_from_parent(parent_block, block_params) def get_block_by_root(self, block_root: Hash32) -> BaseBeaconBlock: """ Return the requested block as specified by block hash. Raise ``BlockNotFound`` if there's no block with the given hash in the db. """ validate_word(block_root, title="Block Hash") block_class = self.get_block_class(block_root) return self.chaindb.get_block_by_root(block_root, block_class) def get_canonical_head(self) -> BaseBeaconBlock: """ Return the block at the canonical chain head. Raise ``CanonicalHeadNotFound`` if there's no head defined for the canonical chain. """ block_root = self.chaindb.get_canonical_head_root() block_class = self.get_block_class(block_root) return self.chaindb.get_block_by_root(block_root, block_class) def get_score(self, block_root: Hash32) -> int: """ Return the score of the block with the given hash. Raise ``BlockNotFound`` if there is no matching black hash. """ return self.chaindb.get_score(block_root) def ensure_block(self, block: BaseBeaconBlock=None) -> BaseBeaconBlock: """ Return ``block`` if it is not ``None``, otherwise return the block of the canonical head. """ if block is None: head = self.get_canonical_head() return self.create_block_from_parent(head, FromBlockParams()) else: return block def get_block(self) -> BaseBeaconBlock: """ Return the current TIP block. """ return self.get_state_machine().block def get_canonical_block_by_slot(self, slot: Slot) -> BaseBeaconBlock: """ Return the block with the given number in the canonical chain. Raise ``BlockNotFound`` if there's no block with the given number in the canonical chain. """ validate_slot(slot) return self.get_block_by_root(self.chaindb.get_canonical_block_root(slot)) def get_canonical_block_root(self, slot: Slot) -> Hash32: """ Return the block hash with the given number in the canonical chain. Raise ``BlockNotFound`` if there's no block with the given number in the canonical chain. """ return self.chaindb.get_canonical_block_root(slot) def import_block( self, block: BaseBeaconBlock, perform_validation: bool=True ) -> Tuple[BaseBeaconBlock, Tuple[BaseBeaconBlock, ...], Tuple[BaseBeaconBlock, ...]]: """ Import a complete block and returns a 3-tuple - the imported block - a tuple of blocks which are now part of the canonical chain. - a tuple of blocks which were canonical and now are no longer canonical. """ try: parent_block = self.get_block_by_root(block.previous_block_root) except BlockNotFound: raise ValidationError( "Attempt to import block #{}. Cannot import block {} before importing " "its parent block at {}".format( block.slot, block.signed_root, block.previous_block_root, ) ) base_block_for_import = self.create_block_from_parent( parent_block, FromBlockParams(), ) state, imported_block = self.get_state_machine(base_block_for_import).import_block(block) # Validate the imported block. if perform_validation: validate_imported_block_unchanged(imported_block, block) # TODO: Now it just persists all state. Should design how to clean up the old state. self.chaindb.persist_state(state) ( new_canonical_blocks, old_canonical_blocks, ) = self.chaindb.persist_block(imported_block, imported_block.__class__) self.logger.debug( 'IMPORTED_BLOCK: slot %s | signed root %s', imported_block.slot, encode_hex(imported_block.signed_root), ) return imported_block, new_canonical_blocks, old_canonical_blocks

d9b8347698a1fe18b6d9ec66f6bfbfa77f2567be

py

Python

using_paramiko.py

allupramodreddy/cisco_py

5488b56d9324011860b78998e694dcce6da5e3d1

using_paramiko.py

allupramodreddy/cisco_py

5488b56d9324011860b78998e694dcce6da5e3d1

using_paramiko.py

allupramodreddy/cisco_py

5488b56d9324011860b78998e694dcce6da5e3d1

#!/usr/local/bin/python3 import paramiko,time #using as SSH Client client = paramiko.SSHClient() # check dir(client) to find available options. # auto adjust host key verification with yes or no client.set_missing_host_key_policy(paramiko.AutoAddPolicy()) # time for connecting to remote Cisco IOS """ Manually taking input addr = input('Provide IP address to connect to: ') user = input('Username: ') pwd = getpass.getpass('Password: ')""" # Taking input from files f1 = open("devices.txt","r") f2 = open("commands.txt","r") for line in f1: client = paramiko.SSHClient() client.set_missing_host_key_policy(paramiko.AutoAddPolicy()) data = line.split(" ") # print(data) addr = data[0] user = data[1] pwd = data[2] f3 = open(addr+".txt","w+") # print(addr +" "+ user +" " +pwd) client.connect(addr,username=user,password=pwd,allow_agent=False,look_for_keys=False) # we have to ask for Shell device_access = client.invoke_shell() for line in f2: device_access.send(line) time.sleep(1) output = device_access.recv(55000).decode('ascii') f3.write(output) """ THIS CODE IS FOR SINGLE COMMAND, FOR MULTIPLE COMMANDS CODE BELOW # send command to the device device_access.send("ter len 0\nshow run \n") time.sleep(2) # receive output from the device, convert it to byte-like format and print it print(device_access.recv(550000).decode('ascii')) # We can print the same to a file too with open("csr1000v.txt","w") as f: f.write(device_access.recv(550000).decode('ascii'))"""

d9b86cc42aaff67200ff3f4f5f6d27121835fd8c

py

Python

old/.history/a_20201125192943.py

pscly/bisai1

e619186cec5053a8e02bd59e48fc3ad3af47d19a

old/.history/a_20201125192943.py

pscly/bisai1

e619186cec5053a8e02bd59e48fc3ad3af47d19a

old/.history/a_20201125192943.py

pscly/bisai1

e619186cec5053a8e02bd59e48fc3ad3af47d19a

# for n in range(400,500): # i = n // 100 # j = n // 10 % 10 # k = n % 10 # if n == i ** 3 + j ** 3 + k ** 3: # print(n) # 第一道题(16) # input("请输入(第一次):") # s1 = input("请输入(第二次):") # l1 = s1.split(' ') # l2 = [] # for i in l1: # if i.isdigit(): # l2.append(int(i)) # for i in l2: # if not (i % 6): # print(i, end=" ") # 第二道题(17) out_l1 = [] def bian_int_list(l1): re_l1 = [] # 返回出去的列表 for i in l1: re_l1.append(i) def jisuan(str_num): he1 = 0 global out_l1 for i in l1(): he1 += int(i)**2 if he1 > int(str_num): out_l1.append(str_num) return None while 1: in_1 = input("请输入数值:") nums_l1 = in_1.split(' ')

d9b8d42e905cba910e6a30f7d6f38e82d05ab46c

py

Python

graphdb/transformer.py

muggat0n/graphdb

56dfd5ef8a3321abc6a919faee47494bbe059080

2020-08-28T13:42:38.000Z

2020-09-05T03:13:45.000Z

graphdb/transformer.py

muggat0n/graphdb

56dfd5ef8a3321abc6a919faee47494bbe059080

graphdb/transformer.py

muggat0n/graphdb

56dfd5ef8a3321abc6a919faee47494bbe059080

""" A query transformer is a function that accepts a program and returns a program, plus a priority level. Higher priority transformers are placed closer to the front of the list. We’re ensuring is a function, because we’re going to evaluate it later 31 . We’ll assume there won’t be an enormous number of transformer additions, and walk the list linearly to add a new one. We’ll leave a note in case this assumption turns out to be false — a binary search is much more time-optimal for long lists, but adds a little complexity and doesn’t really speed up short lists. """ class Transformer: def __init__(self): self.T = [] def transform(self, program): return program """ Dagoba.T = [] # transformers (more than meets the eye) """ """ Dagoba.addTransformer = function(fun, priority) { if(typeof fun != 'function') return Dagoba.error('Invalid transformer function') for(var i = 0; i < Dagoba.T.length; i++) # OPT: binary search if(priority > Dagoba.T[i].priority) break Dagoba.T.splice(i, 0, {priority: priority, fun: fun}) } """ """ Dagoba.transform = function(program) { return Dagoba.T.reduce(function(acc, transformer) { return transformer.fun(acc) }, program) } """ """ Dagoba.addAlias = function(newname, oldname, defaults) { defaults = defaults || [] # default arguments for the alias Dagoba.addPipetype(newname, function() {}) # because there's no method catchall in js Dagoba.addTransformer(function(program) { return program.map(function(step) { if(step[0] != newname) return step return [oldname, Dagoba.extend(step[1], defaults)] }) }, 100) # these need to run early, so they get a high priority } """ """ Dagoba.extend = function(list, defaults) { return Object.keys(defaults).reduce(function(acc, key) { if(typeof list[key] != 'undefined') return acc acc[key] = defaults[key] return acc }, list) } """

d9b92da15285253454115ccfc5647355f3c2b100

py

Python

yzcore/templates/project_template/src/const/_job.py

lixuemin13/yz-core

82774f807ac1002b77d0cc90f6695b1cc6ba0820

2021-01-26T10:27:04.000Z

2022-03-19T16:13:12.000Z

yzcore/templates/project_template/src/const/_job.py

lixuemin13/yz-core

82774f807ac1002b77d0cc90f6695b1cc6ba0820

yzcore/templates/project_template/src/const/_job.py

lixuemin13/yz-core

82774f807ac1002b77d0cc90f6695b1cc6ba0820

2021-07-27T04:11:51.000Z

2022-01-06T09:36:06.000Z

#!/usr/bin/python3.6.8+ # -*- coding:utf-8 -*- """ @auth: cml @date: 2020-12-2 @desc: ... """ class JobStatus(object): PENDING = 0 # 任务等待执行 STARTED = 100 # 任务执行开始 PROCESS = 110 POLLING = 120 CALLBACK = 130 SUCCESS = 200 # 任务执行成功 RETRY = 300 # 任务重试 FAILURE = 400 # 任务执行失败 REVOKED = 500 # 任务撤销

d9b95364464c7d47db46ee15f7524a804b79ea1b

py

Python

pyboleto/html.py

RenanPalmeira/pyboleto

7b12a7a2f7e92cad5f35f843ae67c397b6f7e36e

pyboleto/html.py

RenanPalmeira/pyboleto

7b12a7a2f7e92cad5f35f843ae67c397b6f7e36e

pyboleto/html.py

RenanPalmeira/pyboleto

7b12a7a2f7e92cad5f35f843ae67c397b6f7e36e

2019-03-20T01:01:00.000Z

2019-03-20T01:01:00.000Z

# -*- coding: utf-8 -*- """ pyboleto.html ~~~~~~~~~~~~~ Classe Responsável por fazer o output do boleto em html. :copyright: © 2012 by Artur Felipe de Sousa :license: BSD, see LICENSE for more details. """ import os import string import sys import codecs import base64 from itertools import chain if sys.version_info < (3,): from itertools import izip_longest as zip_longest zip_longest # chamando para evitar erro de nao uso do zip_longest else: from itertools import zip_longest DIGITS = [ ['n', 'n', 'w', 'w', 'n'], ['w', 'n', 'n', 'n', 'w'], ['n', 'w', 'n', 'n', 'w'], ['w', 'w', 'n', 'n', 'n'], ['n', 'n', 'w', 'n', 'w'], ['w', 'n', 'w', 'n', 'n'], ['n', 'w', 'w', 'n', 'n'], ['n', 'n', 'n', 'w', 'w'], ['w', 'n', 'n', 'w', 'n'], ['n', 'w', 'n', 'w', 'n'], ] class BoletoHTML(object): """Geração do Boleto em HTML Esta classe é responsável por imprimir o boleto em HTML. Outras classes podem ser implementadas no futuro com a mesma interface, para fazer output em LaTeX, etc ... Esta classe pode imprimir boletos em formato de carnê (2 boletos por página) ou em formato de folha cheia. :param file_descr: Um arquivo ou *file-like* class. :param landscape: Formato da folha. Usar ``True`` para boleto tipo carnê. """ def __init__(self, file_descr, landscape=False): # Tamanhos em px self.width = 750 self.widthCanhoto = 0 self.fontSizeTitle = 9 self.heightLine = 27 self.fontSizeValue = 12 self.title = 'Boleto bancário' self.fileDescr = file_descr if landscape: raise NotImplementedError('Em desenvolvimento...') else: tpl = string.Template(self._load_template('head.html')) self.html = tpl.substitute(title=self.title, width=self.width, font_size_value=self.fontSizeValue, height_line=self.heightLine, font_size_title=self.fontSizeTitle) def _load_template(self, template): pyboleto_dir = os.path.dirname(os.path.abspath(__file__)) template_path = os.path.join(pyboleto_dir, 'templates', template) with open(template_path, 'r') as tpl: template_content = tpl.read() return template_content def _load_image(self, logo_image): pyboleto_dir = os.path.dirname(os.path.abspath(__file__)) image_path = os.path.join(pyboleto_dir, 'media', logo_image) return image_path def _drawReciboSacado(self, boletoDados): """Imprime o Recibo do Sacado para modelo de página inteira :param boletoDados: Objeto com os dados do boleto a ser preenchido. Deve ser subclasse de :class:`pyboleto.data.BoletoData` :type boletoDados: :class:`pyboleto.data.BoletoData` """ tpl = string.Template(self._load_template('recibo_sacado.html')) tpl_data = {} # Cabeçalho tpl_data['logo_img'] = '' if boletoDados.logo_image: img = codecs.open(self._load_image(boletoDados.logo_image)) aux = img.read() aux = base64.b64encode(aux) img_base64 = 'data:image/jpeg;base64,{0}'.format(aux) tpl_data['logo_img'] = img_base64 tpl_data['codigo_dv_banco'] = boletoDados.codigo_dv_banco # Corpo tpl_data['cedente'] = boletoDados.cedente tpl_data['agencia_conta_cedente'] = boletoDados.agencia_conta_cedente tpl_data['cedente_documento'] = boletoDados.cedente_documento data_vencimento = boletoDados.data_vencimento tpl_data['data_vencimento'] = data_vencimento.strftime('%d/%m/%Y') tpl_data['sacado'] = boletoDados.sacado[0] tpl_data['nosso_numero_format'] = boletoDados.format_nosso_numero() tpl_data['numero_documento'] = boletoDados.numero_documento data_documento = boletoDados.data_documento tpl_data['data_documento'] = data_documento.strftime('%d/%m/%Y') tpl_data['cedente_endereco'] = boletoDados.cedente_endereco valor_doc = self._formataValorParaExibir(boletoDados.valor_documento) tpl_data['valor_documento'] = valor_doc # Demonstrativo tpl_data['demonstrativo'] = '' for dm in boletoDados.demonstrativo: tpl_data['demonstrativo'] += '<p>{0}</p>'.format(dm) self.html += tpl.substitute(tpl_data) def _drawHorizontalCorteLine(self): self.html += '<hr />' def _drawReciboCaixa(self, boletoDados): """Imprime o Recibo do Caixa :param boletoDados: Objeto com os dados do boleto a ser preenchido. Deve ser subclasse de :class:`pyboleto.data.BoletoData` :type boletoDados: :class:`pyboleto.data.BoletoData` """ tpl = string.Template(self._load_template('recibo_caixa.html')) tpl_data = {} # Cabeçalho tpl_data['logo_img'] = '' if boletoDados.logo_image: img = codecs.open(self._load_image(boletoDados.logo_image)) aux = img.read() aux = base64.b64encode(aux) img_base64 = 'data:image/jpeg;base64,{0}'.format(aux) tpl_data['logo_img'] = img_base64 tpl_data['codigo_dv_banco'] = boletoDados.codigo_dv_banco tpl_data['linha_digitavel'] = boletoDados.linha_digitavel # Corpo data_vencimento = boletoDados.data_vencimento tpl_data['data_vencimento'] = data_vencimento.strftime('%d/%m/%Y') # value em unicode em data.py if isinstance(boletoDados.local_pagamento, unicode): tpl_data['local_pagamento'] = boletoDados.local_pagamento.encode ('utf-8') else: tpl_data['local_pagamento'] = boletoDados.local_pagamento tpl_data['cedente'] = boletoDados.cedente tpl_data['agencia_conta_cedente'] = boletoDados.agencia_conta_cedente data_documento = boletoDados.data_documento tpl_data['data_documento'] = data_documento.strftime('%d/%m/%Y') tpl_data['numero_documento'] = boletoDados.numero_documento tpl_data['especie_documento'] = boletoDados.especie_documento tpl_data['aceite'] = boletoDados.aceite data_process = boletoDados.data_processamento tpl_data['data_processamento'] = data_process.strftime('%d/%m/%Y') tpl_data['nosso_numero_format'] = boletoDados.format_nosso_numero() tpl_data['carteira'] = boletoDados.carteira tpl_data['especie'] = boletoDados.especie tpl_data['quantidade'] = boletoDados.quantidade valor = self._formataValorParaExibir(boletoDados.valor) tpl_data['valor'] = valor valor_doc = self._formataValorParaExibir(boletoDados.valor_documento) tpl_data['valor_documento'] = valor_doc # Instruções tpl_data['instrucoes'] = '' for instrucao in boletoDados.instrucoes: tpl_data['instrucoes'] += '<p>{0}</p>'.format(instrucao) # Rodapé tpl_data['sacado_info'] = '' for linha_sacado in boletoDados.sacado: tpl_data['sacado_info'] += '<p>{0}</p>'.format(linha_sacado) # Código de barras tpl_data['barcode'] = self._codigoBarraI25(boletoDados.barcode) self.html += tpl.substitute(tpl_data) def drawCanhoto(self, html): if html: self.html += str(html) def printPage(self): self.html += '<script>window.print();</script>' def drawBoletoCarneDuplo(self, boletoDados1, boletoDados2=None): """Imprime um boleto tipo carnê com 2 boletos por página. :param boletoDados1: Objeto com os dados do boleto a ser preenchido. Deve ser subclasse de :class:`pyboleto.data.BoletoData` :param boletoDados2: Objeto com os dados do boleto a ser preenchido. Deve ser subclasse de :class:`pyboleto.data.BoletoData` :type boletoDados1: :class:`pyboleto.data.BoletoData` :type boletoDados2: :class:`pyboleto.data.BoletoData` """ raise NotImplementedError('Em desenvolvimento') def drawBoleto(self, boletoDados): """Imprime Boleto Convencional Você pode chamar este método diversas vezes para criar um arquivo com várias páginas, uma por boleto. :param boletoDados: Objeto com os dados do boleto a ser preenchido. Deve ser subclasse de :class:`pyboleto.data.BoletoData` :type boletoDados: :class:`pyboleto.data.BoletoData` """ self._drawReciboSacado(boletoDados) self._drawHorizontalCorteLine() self._drawReciboCaixa(boletoDados) self._drawHorizontalCorteLine() def nextPage(self): """Força início de nova página""" self.html += '</div><div class="pagina">' def save(self): """Fecha boleto e constroi o arquivo""" self.html += '</div></body></html>' if hasattr(self.fileDescr, 'write'): self.fileDescr.write(self.html) else: with open(self.fileDescr, 'w') as fd: fd.write(self.html) def _formataValorParaExibir(self, nfloat): if nfloat: txt = nfloat txt = txt.replace('.', ',') else: txt = "" return txt def _codigoBarraI25(self, code): """Imprime Código de barras otimizado para boletos http://en.wikipedia.org/wiki/Interleaved_2_of_5 """ digits = ['n', 'n s', 'n', 'n s'] if len(code) % 2 != 0: code = '0' + code for digt1, digt2 in self._grouper(2, code): digt1_repr = DIGITS[int(digt1)] digt2_repr = map(lambda x: x + ' s', DIGITS[int(digt2)]) digits.extend(chain(*zip(digt1_repr, digt2_repr))) digits.extend(['w', 'n s', 'n']) result = [] for digit in digits: result.append('<span class="{0}"></span>'.format(digit)) return ''.join(result) def _grouper(self, n, iterable, fillvalue=None): """grouper(3, 'ABCDEFG', 'x') --> ABC DEF Gxx""" args = [iter(iterable)] * n return zip_longest(fillvalue=fillvalue, *args)

d9b9563b7aae9c46b0fbd98073d96eeedfaec4aa

py

Python

Courses/1 month/2 week/day 6/Formula.py

emir-naiz/first_git_lesson

1fecf712290f6da3ef03deff518870d91638eb69

Courses/1 month/2 week/day 6/Formula.py

emir-naiz/first_git_lesson

1fecf712290f6da3ef03deff518870d91638eb69

Courses/1 month/2 week/day 6/Formula.py

emir-naiz/first_git_lesson

1fecf712290f6da3ef03deff518870d91638eb69

summary = 0 i = 0 while i < 5: summary = summary + i print(summary) i = i + 1

d9b9af3bd25b0d2f9357446b0ff43e3ab614b141

py

Python

tests/image_saver/image_saver_7.py

Vicken-Ghoubiguian/Imtreat

1f8e8406dc48af3b1e8e0c138a09aa1faee0b8a0

tests/image_saver/image_saver_7.py

Vicken-Ghoubiguian/Imtreat

1f8e8406dc48af3b1e8e0c138a09aa1faee0b8a0

tests/image_saver/image_saver_7.py

Vicken-Ghoubiguian/Imtreat

1f8e8406dc48af3b1e8e0c138a09aa1faee0b8a0

import imtreat img = imtreat.imageManagerClass.openImageFunction("../images/soleil.png", 0) img = imtreat.definedModesClass.detailEnhanceFunction(img) imtreat.imageManagerClass.saveImageFunction("/Téléchargements/", "image_1", ".png", img)

d9ba3c5b12232bbc811a9ad606f2570ac2481108

py

Python

nova/conf/hyperv.py

raubvogel/nova

b78be4e83cdc191e20a4a61b6aae72cb2b37f62b

nova/conf/hyperv.py

raubvogel/nova

b78be4e83cdc191e20a4a61b6aae72cb2b37f62b

nova/conf/hyperv.py

raubvogel/nova

b78be4e83cdc191e20a4a61b6aae72cb2b37f62b

# Copyright (c) 2016 TUBITAK BILGEM # All Rights Reserved. # # 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 oslo_config import cfg hyperv_opt_group = cfg.OptGroup("hyperv", title='The Hyper-V feature', help=""" The hyperv feature allows you to configure the Hyper-V hypervisor driver to be used within an OpenStack deployment. """) hyperv_opts = [ cfg.FloatOpt('dynamic_memory_ratio', default=1.0, help=""" Dynamic memory ratio Enables dynamic memory allocation (ballooning) when set to a value greater than 1. The value expresses the ratio between the total RAM assigned to an instance and its startup RAM amount. For example a ratio of 2.0 for an instance with 1024MB of RAM implies 512MB of RAM allocated at startup. Possible values: * 1.0: Disables dynamic memory allocation (Default). * Float values greater than 1.0: Enables allocation of total implied RAM divided by this value for startup. """), cfg.BoolOpt('enable_instance_metrics_collection', default=False, help=""" Enable instance metrics collection Enables metrics collections for an instance by using Hyper-V's metric APIs. Collected data can be retrieved by other apps and services, e.g.: Ceilometer. """), cfg.StrOpt('instances_path_share', default="", help=""" Instances path share The name of a Windows share mapped to the "instances_path" dir and used by the resize feature to copy files to the target host. If left blank, an administrative share (hidden network share) will be used, looking for the same "instances_path" used locally. Possible values: * "": An administrative share will be used (Default). * Name of a Windows share. Related options: * "instances_path": The directory which will be used if this option here is left blank. """), cfg.BoolOpt('limit_cpu_features', default=False, help=""" Limit CPU features This flag is needed to support live migration to hosts with different CPU features and checked during instance creation in order to limit the CPU features used by the instance. """), cfg.IntOpt('mounted_disk_query_retry_count', default=10, min=0, help=""" Mounted disk query retry count The number of times to retry checking for a mounted disk. The query runs until the device can be found or the retry count is reached. Possible values: * Positive integer values. Values greater than 1 is recommended (Default: 10). Related options: * Time interval between disk mount retries is declared with "mounted_disk_query_retry_interval" option. """), cfg.IntOpt('mounted_disk_query_retry_interval', default=5, min=0, help=""" Mounted disk query retry interval Interval between checks for a mounted disk, in seconds. Possible values: * Time in seconds (Default: 5). Related options: * This option is meaningful when the mounted_disk_query_retry_count is greater than 1. * The retry loop runs with mounted_disk_query_retry_count and mounted_disk_query_retry_interval configuration options. """), cfg.IntOpt('power_state_check_timeframe', default=60, min=0, help=""" Power state check timeframe The timeframe to be checked for instance power state changes. This option is used to fetch the state of the instance from Hyper-V through the WMI interface, within the specified timeframe. Possible values: * Timeframe in seconds (Default: 60). """), cfg.IntOpt('power_state_event_polling_interval', default=2, min=0, help=""" Power state event polling interval Instance power state change event polling frequency. Sets the listener interval for power state events to the given value. This option enhances the internal lifecycle notifications of instances that reboot themselves. It is unlikely that an operator has to change this value. Possible values: * Time in seconds (Default: 2). """), cfg.StrOpt('qemu_img_cmd', default="qemu-img.exe", help=""" qemu-img command qemu-img is required for some of the image related operations like converting between different image types. You can get it from here: (http://qemu.weilnetz.de/) or you can install the Cloudbase OpenStack Hyper-V Compute Driver (https://cloudbase.it/openstack-hyperv-driver/) which automatically sets the proper path for this config option. You can either give the full path of qemu-img.exe or set its path in the PATH environment variable and leave this option to the default value. Possible values: * Name of the qemu-img executable, in case it is in the same directory as the nova-compute service or its path is in the PATH environment variable (Default). * Path of qemu-img command (DRIVELETTER:\PATH\TO\QEMU-IMG\COMMAND). Related options: * If the config_drive_cdrom option is False, qemu-img will be used to convert the ISO to a VHD, otherwise the config drive will remain an ISO. To use config drive with Hyper-V, you must set the ``mkisofs_cmd`` value to the full path to an ``mkisofs.exe`` installation. """), cfg.StrOpt('vswitch_name', help=""" External virtual switch name The Hyper-V Virtual Switch is a software-based layer-2 Ethernet network switch that is available with the installation of the Hyper-V server role. The switch includes programmatically managed and extensible capabilities to connect virtual machines to both virtual networks and the physical network. In addition, Hyper-V Virtual Switch provides policy enforcement for security, isolation, and service levels. The vSwitch represented by this config option must be an external one (not internal or private). Possible values: * If not provided, the first of a list of available vswitches is used. This list is queried using WQL. * Virtual switch name. """), cfg.IntOpt('wait_soft_reboot_seconds', default=60, min=0, help=""" Wait soft reboot seconds Number of seconds to wait for instance to shut down after soft reboot request is made. We fall back to hard reboot if instance does not shutdown within this window. Possible values: * Time in seconds (Default: 60). """), cfg.BoolOpt('config_drive_cdrom', default=False, help=""" Mount config drive as a CD drive. OpenStack can be configured to write instance metadata to a config drive, which is then attached to the instance before it boots. The config drive can be attached as a disk drive (default) or as a CD drive. Related options: * This option is meaningful with ``force_config_drive`` option set to ``True`` or when the REST API call to create an instance will have ``--config-drive=True`` flag. * ``config_drive_format`` option must be set to ``iso9660`` in order to use CD drive as the config drive image. * To use config drive with Hyper-V, you must set the ``mkisofs_cmd`` value to the full path to an ``mkisofs.exe`` installation. Additionally, you must set the ``qemu_img_cmd`` value to the full path to an ``qemu-img`` command installation. * You can configure the Compute service to always create a configuration drive by setting the ``force_config_drive`` option to ``True``. """), cfg.BoolOpt('config_drive_inject_password', default=False, help=""" Inject password to config drive. When enabled, the admin password will be available from the config drive image. Related options: * This option is meaningful when used with other options that enable config drive usage with Hyper-V, such as ``force_config_drive``. """), cfg.IntOpt('volume_attach_retry_count', default=10, min=0, help=""" Volume attach retry count The number of times to retry attaching a volume. Volume attachment is retried until success or the given retry count is reached. Possible values: * Positive integer values (Default: 10). Related options: * Time interval between attachment attempts is declared with volume_attach_retry_interval option. """), cfg.IntOpt('volume_attach_retry_interval', default=5, min=0, help=""" Volume attach retry interval Interval between volume attachment attempts, in seconds. Possible values: * Time in seconds (Default: 5). Related options: * This options is meaningful when volume_attach_retry_count is greater than 1. * The retry loop runs with volume_attach_retry_count and volume_attach_retry_interval configuration options. """), cfg.BoolOpt('enable_remotefx', default=False, help=""" Enable RemoteFX feature This requires at least one DirectX 11 capable graphics adapter for Windows / Hyper-V Server 2012 R2 or newer and RDS-Virtualization feature has to be enabled. Instances with RemoteFX can be requested with the following flavor extra specs: **os:resolution**. Guest VM screen resolution size. Acceptable values:: 1024x768, 1280x1024, 1600x1200, 1920x1200, 2560x1600, 3840x2160 ``3840x2160`` is only available on Windows / Hyper-V Server 2016. **os:monitors**. Guest VM number of monitors. Acceptable values:: [1, 4] - Windows / Hyper-V Server 2012 R2 [1, 8] - Windows / Hyper-V Server 2016 **os:vram**. Guest VM VRAM amount. Only available on Windows / Hyper-V Server 2016. Acceptable values:: 64, 128, 256, 512, 1024 """), cfg.BoolOpt('use_multipath_io', default=False, help=""" Use multipath connections when attaching iSCSI or FC disks. This requires the Multipath IO Windows feature to be enabled. MPIO must be configured to claim such devices. """), cfg.ListOpt('iscsi_initiator_list', default=[], help=""" List of iSCSI initiators that will be used for estabilishing iSCSI sessions. If none are specified, the Microsoft iSCSI initiator service will choose the initiator. """) ] def register_opts(conf): conf.register_group(hyperv_opt_group) conf.register_opts(hyperv_opts, group=hyperv_opt_group) def list_opts(): return {hyperv_opt_group: hyperv_opts}

d9ba3e40007f306c4c070fefef8a9b0aa2387204

py

Python

src/fetchWords.py

theyadev/thierry-bot

f3c72998d4c16afbca77baf4cabaf0f547d51e94

src/fetchWords.py

theyadev/thierry-bot

f3c72998d4c16afbca77baf4cabaf0f547d51e94

2022-01-20T16:36:33.000Z

2022-03-31T14:16:01.000Z

src/fetchWords.py

theyadev/thierry-bot

f3c72998d4c16afbca77baf4cabaf0f547d51e94

2022-01-28T12:14:14.000Z

2022-01-28T12:14:14.000Z

import requests words_list = requests.get("https://raw.githubusercontent.com/atebits/Words/master/Words/fr.txt").text words_list = filter(lambda x: len(x) > 4, words_list.split('\n')) path = input("Chemin d'écriture ? (words.txt) ") if path == "": path = "./words.txt" with open(path, "w", encoding="utf-8") as file: file.write('\n'.join(words_list))

d9ba8bca5b7327bbb7e6554d0a3849c186cc4ba9

py

Python

inspiration/simplegallery/test/upload/variants/test_aws_uploader.py

Zenahr/simple-music-gallery

2cf6e81208b721a91dcbf77e047c7f77182dd194

2020-07-03T17:21:01.000Z

2020-07-03T17:21:01.000Z

simplegallery/test/upload/variants/test_aws_uploader.py

theemack/simple-photo-gallery

f5db98bca7a7443ea7a9172317811f446eff760c

2020-06-20T12:13:00.000Z

2020-06-20T15:32:03.000Z

inspiration/simplegallery/test/upload/variants/test_aws_uploader.py

Zenahr/simple-music-gallery

2cf6e81208b721a91dcbf77e047c7f77182dd194

import unittest from unittest import mock import os import subprocess from testfixtures import TempDirectory from simplegallery.upload.uploader_factory import get_uploader class AWSUploaderTestCase(unittest.TestCase): def test_no_location(self): uploader = get_uploader('aws') self.assertFalse(uploader.check_location('')) @mock.patch('subprocess.run') def test_upload_gallery(self, subprocess_run): subprocess_run.return_value = subprocess.CompletedProcess([], returncode=0) with TempDirectory() as tempdir: # Setup mock file and uploader tempdir.write('index.html', b'') gallery_path = os.path.join(tempdir.path, 'index.html') uploader = get_uploader('aws') # Test upload to bucket uploader.upload_gallery('s3://testbucket/path/', gallery_path) subprocess_run.assert_called_with( ['aws', 's3', 'sync', gallery_path, 's3://testbucket/path/', '--exclude', '.DS_Store']) # Test upload to bucket without prefix uploader.upload_gallery('testbucket/path/', gallery_path) subprocess_run.assert_called_with( ['aws', 's3', 'sync', gallery_path, 's3://testbucket/path/', '--exclude', '.DS_Store']) # Test upload to bucket without trailing / uploader.upload_gallery('s3://testbucket/path', gallery_path) subprocess_run.assert_called_with( ['aws', 's3', 'sync', gallery_path, 's3://testbucket/path/', '--exclude', '.DS_Store']) if __name__ == '__main__': unittest.main()

d9bd741cd9ad9e20eeb1069fce4709781f43edd4

py

Python

Qt_interface/add_subject.py

kithsirij/NLP-based-Syllabus-Coverage-Exam-paper-checker-Tool

b7b38a7b7c6d0a2ad5264df32acd75cdef552bd0

2019-07-17T09:08:41.000Z

2019-07-17T09:08:41.000Z

Qt_interface/add_subject.py

kithsirij/NLP-based-Syllabus-Coverage-Exam-paper-checker-Tool

b7b38a7b7c6d0a2ad5264df32acd75cdef552bd0

Qt_interface/add_subject.py

kithsirij/NLP-based-Syllabus-Coverage-Exam-paper-checker-Tool

b7b38a7b7c6d0a2ad5264df32acd75cdef552bd0

# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'add_subject.ui' # # Created by: PyQt4 UI code generator 4.11.4 # # WARNING! All changes made in this file will be lost! from PyQt4 import QtCore, QtGui try: _fromUtf8 = QtCore.QString.fromUtf8 except AttributeError: def _fromUtf8(s): return s try: _encoding = QtGui.QApplication.UnicodeUTF8 def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig, _encoding) except AttributeError: def _translate(context, text, disambig): return QtGui.QApplication.translate(context, text, disambig) class Ui_Dialog_add_subject(object): def setupUi(self, Dialog_add_subject): Dialog_add_subject.setObjectName(_fromUtf8("Dialog_add_subject")) Dialog_add_subject.resize(568, 374) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(10) Dialog_add_subject.setFont(font) Dialog_add_subject.setContextMenuPolicy(QtCore.Qt.CustomContextMenu) icon = QtGui.QIcon() icon.addPixmap(QtGui.QPixmap(_fromUtf8("Qt_interface/SE_syllabus/4zIr6y.jpg")), QtGui.QIcon.Normal, QtGui.QIcon.Off) Dialog_add_subject.setWindowIcon(icon) self.lbl_subject_name = QtGui.QLabel(Dialog_add_subject) self.lbl_subject_name.setGeometry(QtCore.QRect(50, 235, 131, 21)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.lbl_subject_name.setFont(font) self.lbl_subject_name.setObjectName(_fromUtf8("lbl_subject_name")) self.label_add_subject = QtGui.QLabel(Dialog_add_subject) self.label_add_subject.setGeometry(QtCore.QRect(220, 30, 151, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(14) font.setBold(True) font.setWeight(75) self.label_add_subject.setFont(font) self.label_add_subject.setObjectName(_fromUtf8("label_add_subject")) self.lineEdit_subject_name = QtGui.QLineEdit(Dialog_add_subject) self.lineEdit_subject_name.setGeometry(QtCore.QRect(190, 230, 321, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.lineEdit_subject_name.setFont(font) self.lineEdit_subject_name.setObjectName(_fromUtf8("lineEdit_subject_name")) self.label_year = QtGui.QLabel(Dialog_add_subject) self.label_year.setGeometry(QtCore.QRect(50, 95, 81, 21)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.label_year.setFont(font) self.label_year.setObjectName(_fromUtf8("label_year")) self.label_semester = QtGui.QLabel(Dialog_add_subject) self.label_semester.setGeometry(QtCore.QRect(50, 165, 91, 21)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.label_semester.setFont(font) self.label_semester.setObjectName(_fromUtf8("label_semester")) self.pushButton_save = QtGui.QPushButton(Dialog_add_subject) self.pushButton_save.setGeometry(QtCore.QRect(190, 290, 111, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(10) self.pushButton_save.setFont(font) icon1 = QtGui.QIcon() icon1.addPixmap(QtGui.QPixmap(_fromUtf8("Qt_interface/SE_syllabus/Save-as.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_save.setIcon(icon1) self.pushButton_save.setIconSize(QtCore.QSize(20, 20)) self.pushButton_save.setObjectName(_fromUtf8("pushButton_save")) self.pushButton_cancel = QtGui.QPushButton(Dialog_add_subject) self.pushButton_cancel.setGeometry(QtCore.QRect(340, 290, 111, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) self.pushButton_cancel.setFont(font) icon2 = QtGui.QIcon() icon2.addPixmap(QtGui.QPixmap(_fromUtf8("Qt_interface/SE_syllabus/if_draw-08_725558.png")), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_cancel.setIcon(icon2) self.pushButton_cancel.setIconSize(QtCore.QSize(20, 20)) self.pushButton_cancel.setObjectName(_fromUtf8("pushButton_cancel")) self.comboBox_year = QtGui.QComboBox(Dialog_add_subject) self.comboBox_year.setGeometry(QtCore.QRect(190, 91, 111, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.comboBox_year.setFont(font) self.comboBox_year.setObjectName(_fromUtf8("comboBox_year")) self.comboBox_semester = QtGui.QComboBox(Dialog_add_subject) self.comboBox_semester.setGeometry(QtCore.QRect(190, 160, 111, 31)) font = QtGui.QFont() font.setFamily(_fromUtf8("Times New Roman")) font.setPointSize(12) self.comboBox_semester.setFont(font) self.comboBox_semester.setObjectName(_fromUtf8("comboBox_semester")) self.retranslateUi(Dialog_add_subject) QtCore.QObject.connect(self.pushButton_cancel, QtCore.SIGNAL(_fromUtf8("clicked()")), self.lineEdit_subject_name.clear) QtCore.QMetaObject.connectSlotsByName(Dialog_add_subject) def retranslateUi(self, Dialog_add_subject): Dialog_add_subject.setWindowTitle(_translate("Dialog_add_subject", "Dialog", None)) self.lbl_subject_name.setText(_translate("Dialog_add_subject", "SUBJECT NAME", None)) self.label_add_subject.setText(_translate("Dialog_add_subject", "ADD SUBJECT", None)) self.label_year.setText(_translate("Dialog_add_subject", "YEAR", None)) self.label_semester.setText(_translate("Dialog_add_subject", "SEMESTER", None)) self.pushButton_save.setText(_translate("Dialog_add_subject", "SAVE", None)) self.pushButton_cancel.setText(_translate("Dialog_add_subject", "CANCEL", None)) if __name__ == "__main__": import sys app = QtGui.QApplication(sys.argv) Dialog_add_subject = QtGui.QDialog() ui = Ui_Dialog_add_subject() ui.setupUi(Dialog_add_subject) Dialog_add_subject.show() sys.exit(app.exec_())

d9be3b65d403b8ba23a315dd5e1dcfb9fd542171

py

Python

tests/syncdb_signals/tests.py

mdj2/django

e71b63e280559122371d125d75a593dc2435c394

2017-02-08T15:13:43.000Z

2017-02-08T15:13:43.000Z

tests/syncdb_signals/tests.py

mdj2/django

e71b63e280559122371d125d75a593dc2435c394

tests/syncdb_signals/tests.py

mdj2/django

e71b63e280559122371d125d75a593dc2435c394

from django.db.models import signals from django.test import TestCase from django.core import management from django.utils import six from shared_models import models PRE_SYNCDB_ARGS = ['app', 'create_models', 'verbosity', 'interactive', 'db'] SYNCDB_DATABASE = 'default' SYNCDB_VERBOSITY = 1 SYNCDB_INTERACTIVE = False class PreSyncdbReceiver(object): def __init__(self): self.call_counter = 0 self.call_args = None def __call__(self, signal, sender, **kwargs): self.call_counter = self.call_counter + 1 self.call_args = kwargs class OneTimeReceiver(object): """ Special receiver for handle the fact that test runner calls syncdb for several databases and several times for some of them. """ def __init__(self): self.call_counter = 0 self.call_args = None def __call__(self, signal, sender, **kwargs): # Although test runner calls syncdb for several databases, # testing for only one of them is quite sufficient. if kwargs['db'] == SYNCDB_DATABASE: self.call_counter = self.call_counter + 1 self.call_args = kwargs # we need to test only one call of syncdb signals.pre_syncdb.disconnect(pre_syncdb_receiver, sender=models) # We connect receiver here and not in unit test code because we need to # connect receiver before test runner creates database. That is, sequence of # actions would be: # # 1. Test runner imports this module. # 2. We connect receiver. # 3. Test runner calls syncdb for create default database. # 4. Test runner execute our unit test code. pre_syncdb_receiver = OneTimeReceiver() signals.pre_syncdb.connect(pre_syncdb_receiver, sender=models) class SyncdbSignalTests(TestCase): def test_pre_syncdb_call_time(self): self.assertEqual(pre_syncdb_receiver.call_counter, 1) def test_pre_syncdb_args(self): r = PreSyncdbReceiver() signals.pre_syncdb.connect(r, sender=models) management.call_command('syncdb', database=SYNCDB_DATABASE, verbosity=SYNCDB_VERBOSITY, interactive=SYNCDB_INTERACTIVE, load_initial_data=False, stdout=six.StringIO()) args = r.call_args self.assertEqual(r.call_counter, 1) self.assertEqual(set(args), set(PRE_SYNCDB_ARGS)) self.assertEqual(args['app'], models) self.assertEqual(args['verbosity'], SYNCDB_VERBOSITY) self.assertEqual(args['interactive'], SYNCDB_INTERACTIVE) self.assertEqual(args['db'], 'default')

d9be5eda54c6b03914f01c88d3b8d97dd5add586

py

Python

pytorch_lightning/plugins/environments/slurm_environment.py

gianscarpe/pytorch-lightning

261ea90822e2bf1cfa5d56171ab1f95a81d5c571

pytorch_lightning/plugins/environments/slurm_environment.py

gianscarpe/pytorch-lightning

261ea90822e2bf1cfa5d56171ab1f95a81d5c571

pytorch_lightning/plugins/environments/slurm_environment.py

gianscarpe/pytorch-lightning

261ea90822e2bf1cfa5d56171ab1f95a81d5c571

# Copyright The PyTorch Lightning team. # # 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. import logging import os import re from pytorch_lightning.plugins.environments.cluster_environment import ClusterEnvironment log = logging.getLogger(__name__) class SLURMEnvironment(ClusterEnvironment): """Cluster environment for training on a cluster managed by SLURM.""" @property def creates_processes_externally(self) -> bool: return True @staticmethod def detect() -> bool: """Returns ``True`` if the current process was launched on a SLURM cluster.""" return "SLURM_NTASKS" in os.environ @property def main_address(self) -> str: # figure out the root node addr slurm_nodelist = os.environ.get("SLURM_NODELIST") if slurm_nodelist: root_node = slurm_nodelist.split(" ")[0].split(",")[0] else: root_node = "127.0.0.1" root_node = self.resolve_root_node_address(root_node) os.environ["MASTER_ADDR"] = root_node log.debug(f"MASTER_ADDR: {os.environ['MASTER_ADDR']}") return root_node @property def main_port(self) -> int: # ----------------------- # SLURM JOB = PORT number # ----------------------- # this way every process knows what port to use default_port = os.environ.get("SLURM_JOB_ID") if default_port: # use the last 4 numbers in the job id as the id default_port = default_port[-4:] # all ports should be in the 10k+ range default_port = int(default_port) + 15000 else: default_port = 12910 # ----------------------- # PORT NUMBER = MASTER_PORT # ----------------------- # in case the user passed it in if "MASTER_PORT" in os.environ: default_port = os.environ["MASTER_PORT"] else: os.environ["MASTER_PORT"] = str(default_port) log.debug(f"MASTER_PORT: {os.environ['MASTER_PORT']}") return int(default_port) def world_size(self) -> int: return int(os.environ["SLURM_NTASKS"]) def set_world_size(self, size: int) -> None: log.debug("SLURMEnvironment.set_world_size was called, but setting world size is not allowed. Ignored.") def global_rank(self) -> int: return int(os.environ["SLURM_PROCID"]) def set_global_rank(self, rank: int) -> None: log.debug("SLURMEnvironment.set_global_rank was called, but setting global rank is not allowed. Ignored.") def local_rank(self) -> int: return int(os.environ["SLURM_LOCALID"]) def node_rank(self) -> int: return int(os.environ["SLURM_NODEID"]) def resolve_root_node_address(self, root_node: str) -> str: if "[" in root_node: name, numbers = root_node.split("[", maxsplit=1) number = numbers.split(",", maxsplit=1)[0] if "-" in number: number = number.split("-")[0] number = re.sub("[^0-9]", "", number) root_node = name + number return root_node

d9be639438e84e867c9e53c267b847b31292fe23

py

Python

examples/mouse.py

ginkage/trackball-python

06439ac77935f7fd9374bd4f535822e859734729

2019-04-19T11:13:16.000Z

2022-03-04T15:04:43.000Z

examples/mouse.py

ginkage/trackball-python

06439ac77935f7fd9374bd4f535822e859734729

2019-06-17T13:48:41.000Z

2022-02-07T14:24:00.000Z

examples/mouse.py

ginkage/trackball-python

06439ac77935f7fd9374bd4f535822e859734729

2019-04-24T00:58:29.000Z

2022-01-26T15:39:10.000Z

#!/usr/bin/env python import time import os import math from trackball import TrackBall print("""Trackball: Mouse Use the trackball as a mouse in Raspbian, with right-click when the switch is pressed. Press Ctrl+C to exit! """) trackball = TrackBall(interrupt_pin=4) trackball.set_rgbw(0, 0, 0, 0) # Check for xte (used to control mouse) use_xte = os.system('which xte') == 0 if use_xte == 0: raise RuntimeError("xte not found. Did you sudo apt install xautomation?") while True: up, down, left, right, switch, state = trackball.read() # Send movements and clicks to xte if switch: cmd = 'xte "mouseclick 1"' os.system(cmd) elif right or up or left or down: x = right - left x = math.copysign(x**2, x) y = down - up y = math.copysign(y**2, y) cmd = 'xte "mousermove {} {}"'.format(int(x), int(y)) os.system(cmd) time.sleep(0.0001)

d9be866c44b7b03225042353a7fcf648c1ce10ab

py

Python

garaged/src/garage/tf/regressors/gaussian_mlp_regressor_model.py

artberryx/LSD

99ee081de2502b4d13c140b474f772db8a5f92fe

2022-02-01T03:02:24.000Z

2022-02-10T12:54:05.000Z

garaged/src/garage/tf/regressors/gaussian_mlp_regressor_model.py

artberryx/LSD

99ee081de2502b4d13c140b474f772db8a5f92fe

garaged/src/garage/tf/regressors/gaussian_mlp_regressor_model.py

artberryx/LSD

99ee081de2502b4d13c140b474f772db8a5f92fe

2022-02-03T03:33:25.000Z

2022-02-10T12:54:07.000Z

"""GaussianMLPRegressorModel.""" import numpy as np import tensorflow as tf import tensorflow_probability as tfp from garage.experiment import deterministic from garage.tf.models import GaussianMLPModel class GaussianMLPRegressorModel(GaussianMLPModel): """GaussianMLPRegressor based on garage.tf.models.Model class. This class can be used to perform regression by fitting a Gaussian distribution to the outputs. Args: input_shape (tuple[int]): Input shape of the training data. output_dim (int): Output dimension of the model. name (str): Model name, also the variable scope. hidden_sizes (list[int]): Output dimension of dense layer(s) for the MLP for mean. For example, (32, 32) means the MLP consists of two hidden layers, each with 32 hidden units. hidden_nonlinearity (callable): Activation function for intermediate dense layer(s). It should return a tf.Tensor. Set it to None to maintain a linear activation. hidden_w_init (callable): Initializer function for the weight of intermediate dense layer(s). The function should return a tf.Tensor. hidden_b_init (callable): Initializer function for the bias of intermediate dense layer(s). The function should return a tf.Tensor. output_nonlinearity (callable): Activation function for output dense layer. It should return a tf.Tensor. Set it to None to maintain a linear activation. output_w_init (callable): Initializer function for the weight of output dense layer(s). The function should return a tf.Tensor. output_b_init (callable): Initializer function for the bias of output dense layer(s). The function should return a tf.Tensor. learn_std (bool): Is std trainable. init_std (float): Initial value for std. adaptive_std (bool): Is std a neural network. If False, it will be a parameter. std_share_network (bool): Boolean for whether mean and std share the same network. std_hidden_sizes (list[int]): Output dimension of dense layer(s) for the MLP for std. For example, (32, 32) means the MLP consists of two hidden layers, each with 32 hidden units. min_std (float): If not None, the std is at least the value of min_std, to avoid numerical issues. max_std (float): If not None, the std is at most the value of max_std, to avoid numerical issues. std_hidden_nonlinearity (callable): Nonlinearity for each hidden layer in the std network. std_hidden_w_init (callable): Initializer function for the weight of intermediate dense layer(s) in the std network. std_hidden_b_init (callable): Initializer function for the bias of intermediate dense layer(s) in the std network. std_output_nonlinearity (callable): Activation function for output dense layer in the std network. It should return a tf.Tensor. Set it to None to maintain a linear activation. std_output_w_init (callable): Initializer function for the weight of output dense layer(s) in the std network. std_parameterization (str): How the std should be parametrized. There are two options: - exp: the logarithm of the std will be stored, and applied a exponential transformation - softplus: the std will be computed as log(1+exp(x)) layer_normalization (bool): Bool for using layer normalization or not. """ def __init__(self, input_shape, output_dim, name='GaussianMLPRegressorModel', hidden_sizes=(32, 32), hidden_nonlinearity=tf.nn.tanh, hidden_w_init=tf.initializers.glorot_uniform( seed=deterministic.get_tf_seed_stream()), hidden_b_init=tf.zeros_initializer(), output_nonlinearity=None, output_w_init=tf.initializers.glorot_uniform( seed=deterministic.get_tf_seed_stream()), output_b_init=tf.zeros_initializer(), learn_std=True, adaptive_std=False, std_share_network=False, init_std=1.0, min_std=1e-6, max_std=None, std_hidden_sizes=(32, 32), std_hidden_nonlinearity=tf.nn.tanh, std_hidden_w_init=tf.initializers.glorot_uniform( seed=deterministic.get_tf_seed_stream()), std_hidden_b_init=tf.zeros_initializer(), std_output_nonlinearity=None, std_output_w_init=tf.initializers.glorot_uniform( seed=deterministic.get_tf_seed_stream()), std_parameterization='exp', layer_normalization=False): super().__init__(output_dim=output_dim, name=name, hidden_sizes=hidden_sizes, hidden_nonlinearity=hidden_nonlinearity, hidden_w_init=hidden_w_init, hidden_b_init=hidden_b_init, output_nonlinearity=output_nonlinearity, output_w_init=output_w_init, output_b_init=output_b_init, learn_std=learn_std, adaptive_std=adaptive_std, std_share_network=std_share_network, init_std=init_std, min_std=min_std, max_std=max_std, std_hidden_sizes=std_hidden_sizes, std_hidden_nonlinearity=std_hidden_nonlinearity, std_output_nonlinearity=std_output_nonlinearity, std_parameterization=std_parameterization, layer_normalization=layer_normalization) self._input_shape = input_shape def network_output_spec(self): """Network output spec. Return: list[str]: List of key(str) for the network outputs. """ return [ 'normalized_dist', 'normalized_mean', 'normalized_log_std', 'dist', 'mean', 'log_std', 'x_mean', 'x_std', 'y_mean', 'y_std' ] def _build(self, state_input, name=None): """Build model given input placeholder(s). Args: state_input (tf.Tensor): Place holder for state input. name (str): Inner model name, also the variable scope of the inner model, if exist. One example is garage.tf.models.Sequential. Return: tfp.distributions.MultivariateNormalDiag: Normlizaed distribution. tf.Tensor: Normalized mean. tf.Tensor: Normalized log_std. tfp.distributions.MultivariateNormalDiag: Vanilla distribution. tf.Tensor: Vanilla mean. tf.Tensor: Vanilla log_std. tf.Tensor: Mean for data. tf.Tensor: log_std for data. tf.Tensor: Mean for label. tf.Tensor: log_std for label. """ with tf.compat.v1.variable_scope('normalized_vars'): x_mean_var = tf.compat.v1.get_variable( name='x_mean', shape=(1, ) + self._input_shape, dtype=np.float32, initializer=tf.zeros_initializer(), trainable=False) x_std_var = tf.compat.v1.get_variable( name='x_std_var', shape=(1, ) + self._input_shape, dtype=np.float32, initializer=tf.ones_initializer(), trainable=False) y_mean_var = tf.compat.v1.get_variable( name='y_mean_var', shape=(1, self._output_dim), dtype=np.float32, initializer=tf.zeros_initializer(), trainable=False) y_std_var = tf.compat.v1.get_variable( name='y_std_var', shape=(1, self._output_dim), dtype=np.float32, initializer=tf.ones_initializer(), trainable=False) normalized_xs_var = (state_input - x_mean_var) / x_std_var _, normalized_dist_mean, normalized_dist_log_std = super()._build( normalized_xs_var) # Since regressor expects [N, *dims], we need to squeeze the extra # dimension normalized_dist_log_std = tf.squeeze(normalized_dist_log_std, 1) with tf.name_scope('mean_network'): means_var = normalized_dist_mean * y_std_var + y_mean_var with tf.name_scope('std_network'): log_stds_var = normalized_dist_log_std + tf.math.log(y_std_var) normalized_dist = tfp.distributions.MultivariateNormalDiag( loc=normalized_dist_mean, scale_diag=tf.exp(normalized_dist_log_std)) vanilla_dist = tfp.distributions.MultivariateNormalDiag( loc=means_var, scale_diag=tf.exp(log_stds_var)) return (normalized_dist, normalized_dist_mean, normalized_dist_log_std, vanilla_dist, means_var, log_stds_var, x_mean_var, x_std_var, y_mean_var, y_std_var) def clone(self, name): """Return a clone of the model. It copies the configuration and parameters of the primitive. Args: name (str): Name of the newly created model. It has to be different from source model if cloned under the same computational graph. Returns: garage.tf.policies.GaussianMLPModel: Newly cloned model. """ new_regressor = self.__class__( name=name, input_shape=self._input_shape, output_dim=self._output_dim, hidden_sizes=self._hidden_sizes, hidden_nonlinearity=self._hidden_nonlinearity, hidden_w_init=self._hidden_w_init, hidden_b_init=self._hidden_b_init, output_nonlinearity=self._output_nonlinearity, output_w_init=self._output_w_init, output_b_init=self._output_b_init, learn_std=self._learn_std, adaptive_std=self._adaptive_std, std_share_network=self._std_share_network, init_std=self._init_std, min_std=self._min_std, max_std=self._max_std, std_hidden_sizes=self._std_hidden_sizes, std_hidden_nonlinearity=self._std_hidden_nonlinearity, std_hidden_w_init=self._std_hidden_w_init, std_hidden_b_init=self._std_hidden_b_init, std_output_nonlinearity=self._std_output_nonlinearity, std_output_w_init=self._std_output_w_init, std_parameterization=self._std_parameterization, layer_normalization=self._layer_normalization) new_regressor.parameters = self.parameters return new_regressor

d9becf802ca0765623e481aef0b8fd051c0096e5

py

Python

test.py

kim-sunghoon/DiracDeltaNet

7bcc0575f28715d9c7f737f8a239718320f9c05b

test.py

kim-sunghoon/DiracDeltaNet

7bcc0575f28715d9c7f737f8a239718320f9c05b

test.py

kim-sunghoon/DiracDeltaNet

7bcc0575f28715d9c7f737f8a239718320f9c05b

import torch import torch.nn as nn import torch.optim as optim import torch.nn.functional as F import torch.backends.cudnn as cudnn import torchvision import torchvision.transforms as transforms import torchvision.datasets as datasets import os import argparse from torch.autograd import Variable from extensions.utils import progress_bar from extensions.model_refinery_wrapper import ModelRefineryWrapper from extensions.refinery_loss import RefineryLoss from models import ShuffleNetv2_wrapper from models import DiracDeltaNet_wrapper parser = argparse.ArgumentParser(description='PyTorch imagenet inference') parser.add_argument('--datadir', help='path to dataset') parser.add_argument('--inputdir', help='path to input model') args = parser.parse_args() # Data print('==> Preparing data..') # Data loading code valdir = os.path.join(args.datadir, 'val') normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) transform_test = transforms.Compose([ transforms.Resize(256), transforms.CenterCrop(224), transforms.ToTensor(), normalize, ]) #imagenet testset = datasets.ImageFolder(valdir, transform_test) num_classes=1000 testloader = torch.utils.data.DataLoader(testset, batch_size=1000, shuffle=False, pin_memory=True, num_workers=30) use_cuda = torch.cuda.is_available() print('Using input path: %s' % args.inputdir) checkpoint = torch.load(args.inputdir) init_net = checkpoint['net'] net=init_net.to('cpu') label_refinery=torch.load('./resnet50.t7') net = ModelRefineryWrapper(net, label_refinery) device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") print(device) if torch.cuda.device_count() > 1: print("Let's use", torch.cuda.device_count(), "GPUs!") net = nn.DataParallel(net) net=net.to(device) criterion = RefineryLoss() def accuracy(output, target, topk=(1,)): """Computes the precision@k for the specified values of k""" with torch.no_grad(): maxk = max(topk) batch_size = target.size(0) _, pred = output.topk(maxk, 1, True, True) pred = pred.t() correct = pred.eq(target.view(1, -1).expand_as(pred)) res = [] for k in topk: correct_k = correct[:k].view(-1).float().sum(0, keepdim=True) res.append(correct_k) return res def test(): net.eval() criterion.eval() test_loss = 0 correct_1 = 0 correct_5 = 0 total = 0 for batch_idx, (inputs, targets) in enumerate(testloader): if use_cuda: inputs, targets = inputs.cuda(device), targets.cuda(device) with torch.no_grad(): outputs = net(inputs) loss = criterion(outputs, targets) if isinstance(loss, tuple): loss_value, outputs = loss else: loss_value = loss test_loss += loss_value.item() prec1, prec5 = accuracy(outputs, targets, topk=(1, 5)) total += targets.size(0) correct_1 += prec1 correct_5 += prec5 progress_bar(batch_idx, len(testloader), 'Loss: %.3f | Acc: %.3f%% (%d/%d)' % (test_loss/(batch_idx+1), 100.*float(correct_1)/float(total), correct_1, total)) return 100.*float(correct_1)/float(total),100.*float(correct_5)/float(total),test_loss acc1,acc5,loss=test() print('top-1 accuracy: {0:.3f}%, top-5 accuracy: {1:.3f}%'.format(acc1,acc5))

d9c028ee1a5ced657b4755383e247cbb2fed35a8

py

Python