How to use update_limit method in tempest

Best Python code snippet using tempest_python

items.py

Source:items.py Github

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1# Standard library imports 2from dataclasses import dataclass3from typing import Optional4from abc import ABC5# Local application imports6import entities.slots as slots7@dataclass(frozen=True)8class BaseItem(ABC):9 name: str = ''10 worth: int = 011 weight: int = 012 slot_type: slots.Slot = slots.Miscellaneous13 description: Optional[str] = None14 def __init__(self, *args, **kwargs):15 if type(self) == BaseItem:16 raise NotImplementedError('Do not instantiate BaseItem directly')17# Weapons18@dataclass(frozen=True)19class Weapon(BaseItem):20 damage: int = 021 def __init__(self, *args, **kwargs):22 if type(self) == Weapon:23 raise NotImplementedError('Do not instantiate Weapon directly')24# One Handed Weapons25@dataclass(frozen=True)26class OneHandedWeapon(Weapon):27 slot_type: slots.Slot = slots.OneHanded28 def __init__(self, *args, **kwargs):29 if type(self) == OneHandedWeapon:30 raise NotImplementedError('Do not instantiate OneHandedWeapon directly')31@dataclass(frozen=True)32class Rock(OneHandedWeapon):33 name: str = 'Rock'34 worth: int = 135 weight: int = 136 damage: int = 537@dataclass(frozen=True)38class Dagger(OneHandedWeapon):39 name: str = 'Dagger'40 worth: int = 20041 weight: int = 142 damage: int = 543@dataclass(frozen=True)44class Sword(OneHandedWeapon):45 name: str = 'Sword'46 worth: int = 50047 weight: int = 148 damage: int = 549# Two Handed Weapons50@dataclass(frozen=True)51class TwoHandedWeapon(Weapon):52 slot_type: slots.Slot = slots.TwoHanded53 def __init__(self, *args, **kwargs):54 if type(self) == TwoHandedWeapon:55 raise NotImplementedError('Do not instantiate TwoHandedWeapon directly')56@dataclass(frozen=True)57class Crossbow(TwoHandedWeapon):58 name: str = 'Crossbow'59 worth: int = 75060 weight: int = 261 damage: int = 1562@dataclass(frozen=True)63class Axe(TwoHandedWeapon):64 name: str = 'Axe'65 worth: int = 60066 weight: int = 267 damage: int = 2568# Consumables/Healing69@dataclass(frozen=True)70class Consumable(BaseItem):71 healing_value: int = 072 def __init__(self, *args, **kwargs):73 if type(self) == Consumable:74 raise NotImplementedError('Do not instantiate Consumable directly')75@dataclass(frozen=True)76class Bread(Consumable):77 name: str = 'Bread'78 worth: int = 1279 weight: int = 180 description: str = 'Cursty'81 healing_value: int = 1082@dataclass(frozen=True)83class HealingPotion(Consumable):84 name: str = 'Healing Potion'85 worth: int = 60086 weight: int = 187 healing_value: int = 5088# Containers89# class Container(BaseItem):90# def __init__(self, update_limit=tuple(), **kwargs):91# self.update_limit = update_limit92# super().__init__(**kwargs)93# if type(self) == Container:94# raise NotImplementedError('Do not instantiate Container directly')95 96# def updateSlotLimit(self, slots, amount=1, negative=False):97# for slot_type in slots.__dict__.values():98# # checks if self.update_limit is an emputy list99# if not self.update_limit: return False100# if not isinstance(slot_type, self.update_limit[0]): continue101# if negative:102# slot_type.item_limit = slot_type.item_limit - self.update_limit[1] * amount103# return True104# else:105# slot_type.item_limit = slot_type.item_limit + self.update_limit[1] * amount106# return True107 108# class Backpack(Container, BaseItem):109# def __init__(self, name='Backpack', worth=10, weight=1, 110# slot_type=slots.Body().name, update_limit=(slots.SmallItem, 8), **kwargs):111# super().__init__(name=name, worth=worth, weight=weight, 112# slot_type=slot_type, update_limit=update_limit, **kwargs)113 114# class CoinPouch(Container, BaseItem):115# def __init__(self, name='Coin Pouch', worth=1, weight=.1, 116# slot_type=slots.SmallItem().name, update_limit=(slots.Coins, 50), **kwargs):117# super().__init__(name=name, worth=worth, weight=weight, ...

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gups_generator_par.py

Source:gups_generator_par.py Github

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1# Copyright (c) 2021 The Regents of the University of California2# All rights reserved.3#4# Redistribution and use in source and binary forms, with or without5# modification, are permitted provided that the following conditions are6# met: redistributions of source code must retain the above copyright7# notice, this list of conditions and the following disclaimer;8# redistributions in binary form must reproduce the above copyright9# notice, this list of conditions and the following disclaimer in the10# documentation and/or other materials provided with the distribution;11# neither the name of the copyright holders nor the names of its12# contributors may be used to endorse or promote products derived from13# this software without specific prior written permission.14#15# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS16# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT17# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR18# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT19# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,20# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT21# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,22# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY23# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT24# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE25# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.26from typing import Optional27from m5.objects import Addr28from ...utils.override import overrides29from ..boards.mem_mode import MemMode30from .abstract_processor import AbstractProcessor31from ..boards.abstract_board import AbstractBoard32from .gups_generator_core import GUPSGeneratorCore33class GUPSGeneratorPAR(AbstractProcessor):34 def __init__(35 self,36 num_cores: int,37 start_addr: Addr,38 mem_size: str,39 update_limit: int = 0,40 clk_freq: Optional[str] = None,41 ):42 """The GUPSGeneratorPAR class43 This class defines the interface for multi core GUPSGenerator, this44 generator could be used in place of a processor. In terms of45 benchmarking this generator implements the parallel (3rd)46 variant of the GUPS benchmark as specified by HPCC website.47 :param start_addr: The start address for allocating the update table.48 :param mem_size: The size of memory to allocate for the update table.49 Should be a power of 2.50 :param update_limit: The number of updates to do before terminating51 simulation. Pass zero to run the benchmark to completion (The amount of52 time it takes to simulate depends on )53 """54 super().__init__(55 cores=self._create_cores(56 num_cores=num_cores,57 start_addr=start_addr,58 mem_size=mem_size,59 update_limit=update_limit,60 clk_freq=clk_freq,61 )62 )63 def _create_cores(64 self,65 num_cores: int,66 start_addr: Addr,67 mem_size: str,68 update_limit: int,69 clk_freq: Optional[str],70 ):71 """72 Helper function to create cores.73 """74 return [75 GUPSGeneratorCore(76 start_addr=start_addr,77 mem_size=mem_size,78 update_limit=update_limit / num_cores,79 clk_freq=clk_freq,80 )81 for _ in range(num_cores)82 ]83 @overrides(AbstractProcessor)84 def incorporate_processor(self, board: AbstractBoard) -> None:85 board.set_mem_mode(MemMode.TIMING)86 def start_traffic(self):87 # This function should be implemented so that GUPSGeneratorPAR could be88 # used in the same scripts that use LinearGenerator, RandomGenerator,89 # and ComplexGenrator...

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dump-field-limits.py

Source:dump-field-limits.py Github

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...36 ,"protein_sequence":{"min":10000000000, "max":-1}37 }38 39 for doc in db["c_glycan"].find({}):40 update_limit(limit_obj["glytoucan_ac"], len(doc["glytoucan_ac"]))41 for o in doc["motifs"]:42 update_limit(limit_obj["motif_name"], len(o["name"]))43 for doc in db["c_protein"].find({}):44 update_limit(limit_obj["uniprot_canonical_ac"], len(doc["uniprot_canonical_ac"]))45 update_limit(limit_obj["uniprot_id"], len(doc["uniprot_id"]))46 if "ac" in doc["refseq"]:47 update_limit(limit_obj["refseq_ac"], len(doc["refseq"]["ac"]))48 if "full" in doc["recommendedname"]:49 update_limit(limit_obj["protein_name"], len(doc["recommendedname"]["full"]))50 for o in doc["pathway"]:51 update_limit(limit_obj["pathway_name"], len(o["name"]))52 update_limit(limit_obj["pathway_id"], len(o["id"]))53 for o in doc["disease"]:54 update_limit(limit_obj["disease_name"], len(o["name"]))55 for o in doc["gene"]:56 update_limit(limit_obj["gene_name"], len(o["name"]))57 for o in doc["isoforms"]: 58 update_limit(limit_obj["protein_sequence"], len(o["sequence"]["sequence"]))59 limit_obj["enzyme_uniprot_canonical_ac"] = limit_obj["uniprot_canonical_ac"]60 print json.dumps(limit_obj, indent=4)61if __name__ == '__main__':...

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