xszheng2020/the_stack_dedup_python · Datasets at Hugging Face

7762969e468e630cab9912c9e39aa8105f563ce4

327

py

Python

setup.py

zhangalbert/a

466b10ded2c85e7fceea60a95f081cb0b11b5222

[ "Apache-2.0" ]

null

setup.py

zhangalbert/a

466b10ded2c85e7fceea60a95f081cb0b11b5222

[ "Apache-2.0" ]

null

setup.py

zhangalbert/a

466b10ded2c85e7fceea60a95f081cb0b11b5222

[ "Apache-2.0" ]

null

from distutils.core import setup setup(name='a', version='0.1.0', packages=['a', 'a.security'], install_requires=['WebOb>=1.6.1'], author = "albert.zhang", author_email = "longbao.zhang@gmail.com", description = "This is a very light web framework", license = "Apache License 2.0", )

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7762eadf98a84b5ce9283433a79e9899783c2908

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py

Python

Lectures/DeepLearningClass/chapter2/p01_perceptron.py

Tim232/Python-Things

05f0f373a4cf298e70d9668c88a6e3a9d1cd8146

[ "MIT" ]

2

2020-12-05T07:42:55.000Z

2021-01-06T23:23:18.000Z

Lectures/DeepLearningClass/chapter2/p01_perceptron.py

Tim232/Python-Things

05f0f373a4cf298e70d9668c88a6e3a9d1cd8146

[ "MIT" ]

null

Lectures/DeepLearningClass/chapter2/p01_perceptron.py

Tim232/Python-Things

05f0f373a4cf298e70d9668c88a6e3a9d1cd8146

[ "MIT" ]

null

print('====================================================================================================') print('== 문제 27. 아래의 식을 파이썬으로 구현하시오.') print('====================================================================================================\n') import numpy as np x = np.array([0, 1]) w = np.array([0.5, 0.5]) print(np.sum(w*x)) print('====================================================================================================') print('== 문제 28. 위의 식에 책 52쪽에 나오는 편향을 더해서 완성한 아래의 식을 파이썬으로 구현하시오.') print('====================================================================================================\n') x = np.array([0, 1]) w = np.array([0.5, 0.5]) b = np.array([-0.7]) print(np.sum(w*x) + b) print('====================================================================================================') print('== 문제 29. and 게이트를 파이썬으로 구현하시오!') print('====================================================================================================\n') def AND(x1, x2): x = np.array([x1, x2]) w = np.array([0.5, 0.5]) return 1 if np.sum(x*w)+b == 1 else 0 print('====================================================================================================') print('== 문제 30. 문제 29번에 편향을 포함해서 AND 게이트 함수를 구현하시오!') print('====================================================================================================\n') def AND(x1, x2): x = np.array([x1, x2]) w = np.array([0.5, 0.5]) b = -0.7 return 1 if np.sum(x*w)+b > 0 else 0 print('x1: 0, x2: 0 -> ', AND(0, 0)) print('x1: 0, x2: 1 -> ', AND(0, 1)) print('x1: 1, x2: 0 -> ', AND(1, 0)) print('x1: 1, x2: 1 -> ', AND(1, 1)) print('====================================================================================================') print('== 문제 32. OR 함수를 파이썬으로 구하시오!') print('====================================================================================================\n') def OR(x1, x2): x = np.array([x1, x2]) w = np.array([0.5, 0.5]) b = -0.4 return 1 if np.sum(x*w)+b > 0 else 0 print('====================================================================================================') print('== 문제 33. XOR 함수를 파이썬으로 구하시오!') print('====================================================================================================\n') def NAND(x1, x2): x = np.array([x1, x2]) w = np.array([-0.5, -0.5]) b = 0.7 return 1 if np.sum(x*w)+b > 0 else 0 def XOR(x1, x2): return AND(OR(x1, x2), NAND(x1, x2)) print('====================================================================================================') print('== 문제 1. NCS 평가문제') print('====================================================================================================\n') import numpy as np x = np.array([1, 2]) y = np.array([3, 4]) print(2*x + y) print('====================================================================================================') print('== 문제 2. NCS 평가문제') print('====================================================================================================\n') def AND(x1, x2): x = np.array([x1, x2]) w = np.array([0.5, 0.5]) b = -0.7 return 1 if np.sum(x*w)+b > 0 else 0 def NAND(x1, x2): x = np.array([x1, x2]) w = np.array([-0.5, -0.5]) b = 0.7 return 1 if np.sum(x*w)+b > 0 else 0 def OR(x1, x2): x = np.array([x1, x2]) w = np.array([0.5, 0.5]) b = -0.4 return 1 if np.sum(x*w)+b > 0 else 0 def XOR(x1, x2): return AND(OR(x1, x2), NAND(x1, x2)) print('x1: 0, x2: 0 -> ', XOR(0, 0)) print('x1: 0, x2: 1 -> ', XOR(0, 1)) print('x1: 1, x2: 0 -> ', XOR(1, 0)) print('x1: 1, x2: 1 -> ', XOR(1, 1)) import numpy as np def andPerceptron(x1, x2): w1, w2, theta = 0.5, 0.5, 0.7 netInput = x1*w1 + x2*w2 if netInput <= theta: return 0 elif netInput > theta: return 1 def nandPerceptron(x1, x2): w1, w2, theta = -0.5, -0.5, -0.7 netInput = x1*w1 + x2*w2 if netInput <= theta: return 0 elif netInput > theta: return 1 def orPerceptron(x1, x2): w1, w2, bias = 0.5, 0.5, -0.2 netInput = x1*w1 + x2*w2 + bias if netInput <= 0: return 0 else: return 1 def xorPerceptron(x1, x2): return andPerceptron(orPerceptron(x1, x2), nandPerceptron(x1, x2)) inputData = np.array([[0,0],[0,1],[1,0],[1,1]]) print("---And Perceptron---") for xs1 in inputData: print(str(xs1) + " ==> " + str(andPerceptron(xs1[0], xs1[1]))) print("---Nand Perceptron---") for xs2 in inputData: print(str(xs2) + " ==> " + str(nandPerceptron(xs2[0], xs2[1]))) print("---Or Perceptron---") for xs3 in inputData: print(str(xs3) + " ==> " + str(orPerceptron(xs3[0], xs3[1]))) print("---XOr Perceptron---") for xs3 in inputData: print(str(xs3) + " ==> " + str(xorPerceptron(xs3[0], xs3[1])))

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77639b8b9fd4e3c9cd0c8b422d0c68a3e323eb36

239

py

Python

Python/Transpose and Flatten/Solution.py

chessmastersan/HackerRank

850319e6f79e7473afbb847d28edde7b2cdfc37d

[ "MIT" ]

2

2019-08-07T19:58:20.000Z

2019-08-27T00:06:09.000Z

Python/Transpose and Flatten/Solution.py

chessmastersan/HackerRank

850319e6f79e7473afbb847d28edde7b2cdfc37d

[ "MIT" ]

1

2020-06-11T19:09:48.000Z

Python/Transpose and Flatten/Solution.py

chessmastersan/HackerRank

850319e6f79e7473afbb847d28edde7b2cdfc37d

[ "MIT" ]

7

2019-08-27T00:06:11.000Z

2021-12-11T10:01:45.000Z

#author SANKALP SAXENA import numpy size = input().split(" ") n = int(size[0]) l = [] for i in range(0, n): a = input().split(" ") l.append(a) arr = numpy.array(l, int) trans = arr.transpose() print(trans) print(arr.flatten())

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7763bc166d4d7ffcd7c15717edaf06b9a61c5b0b

1,564

py

Python

src/service.py

wisrovi/AWS_DIA_17NOV

bfe734197dd9658504ecea6a9f89162877d80fdf

[ "MIT" ]

null

src/service.py

wisrovi/AWS_DIA_17NOV

bfe734197dd9658504ecea6a9f89162877d80fdf

[ "MIT" ]

null

src/service.py

wisrovi/AWS_DIA_17NOV

bfe734197dd9658504ecea6a9f89162877d80fdf

[ "MIT" ]

null

from flask import Flask, app, jsonify, request, redirect, make_response from leer_modelo import predecir ALLOWED = ['png','jpg', 'jpeg', 'gif'] def evaluar_extension_archivo(filename): tiene_punto = "." in filename if tiene_punto: extension_archivo = filename.split(".", 1)[1].lower() if extension_archivo in ALLOWED: return True return False nombres_parametros = { "imagen":"file1" } html = """ <!doctype html> <form method="POST" enctype="multipart/form-data"> <label for="fname">Elija su imagen a evaluar:</label> <input type="file" id="fname" name="file1"><br><br> <input type="submit" value="Evaluar con RNA"> </form> """ nombre_guardar_archivo = "recibido.jpg" app = Flask(__name__) @app.route("/RNA", methods=["POST", "GET"]) def recibir_archivo(): if request.method == "POST": if nombres_parametros["imagen"] not in request.files: redirect(request.url) nombre_imagen_recibida = request.files["file1"] if nombre_imagen_recibida.filename == "": redirect(request.url) if evaluar_extension_archivo(nombre_imagen_recibida.filename): nombre_imagen_recibida.save(nombre_guardar_archivo) # evaluacion por el modelo de RNA rta = predecir(nombre_guardar_archivo) return "La imagen recibida es un " + rta return html if __name__=="__main__": #print(evaluar_extension_archivo("queso.jpg")) app.run(host="0.0.0.0", port=2022, debug=True)

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77640065b3e76d426adcd9f96234a785912b54fb

1,220

py

Python

system/detection.py

syazanihussin/FLUX

22a1885c9ff7ef82cd306e4c3544998a71027b5d

[ "MIT" ]

null

system/detection.py

syazanihussin/FLUX

22a1885c9ff7ef82cd306e4c3544998a71027b5d

[ "MIT" ]

1

2019-05-26T04:58:17.000Z

2019-05-30T15:30:51.000Z

system/detection.py

syazanihussin/FLUX

22a1885c9ff7ef82cd306e4c3544998a71027b5d

[ "MIT" ]

null

from interface import implements, Interface from keras.models import load_model class IDetection(Interface): def detect_fake_news(self, type, news): pass class Detection(implements(IDetection)): def detect_fake_news(self, type, news): # load detection model detection_model = self.load_detection_model(type) # predict probability probabilities = detection_model.predict(news) # get probability according to its assosiated class class_label, fake_prob, real_prob = self.get_class_label(probabilities) return class_label, fake_prob, real_prob def load_detection_model(self, type): if(type == 'content'): return load_model('./model/content_model.h5') elif(type == 'stance'): return load_model('./model/stance_model.h5') def get_class_label(self, probabilities): for probability in probabilities: fake_prob = probability[0] real_prob = probability[1] if(fake_prob > real_prob): class_label = 'Fake' elif(real_prob > fake_prob): class_label = 'Real' return class_label, fake_prob, real_prob

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77650de3eab4c78cafaa8bab4bb47104bd26bb30

2,926

py

Python

Spark-Example-FlightsData/flights_example.py

kiat/met-cs777

405aca20c8db4350a7a0d04607ff05f3c4e97c2f

[ "BSD-3-Clause" ]

32

2020-07-02T00:51:13.000Z

2022-03-31T22:31:30.000Z

Flight-Example/flights_example.py

pvkothapalli/MET-CS777

6825bec99581b04f9bcc328cdaa698faa2af7313

[ "BSD-3-Clause" ]

2

2021-02-17T00:42:23.000Z

2021-02-18T17:28:38.000Z

Flight-Example/flights_example.py

pvkothapalli/MET-CS777

6825bec99581b04f9bcc328cdaa698faa2af7313

[ "BSD-3-Clause" ]

47

2020-07-04T15:29:15.000Z

2022-03-25T05:08:17.000Z

# https://s3.amazonaws.com/metcs777/flights.csv.bz2 # s3n://metcs777/flights.csv.bz2 # lines = sc.textFile("file:///home/kia/Data/Collected-Datasets/flight-delays/flight-delays/flights.csv") lines = sc.textFile("s3://metcs777/flights.csv.bz2") # Removing the Header Line from CSV file linesHeader = lines.first() header = sc.parallelize([linesHeader]) linesWithOutHeader = lines.subtract(header) # The data is about the flights from different airports which includes following attributes #[u'YEAR,MONTH,DAY,DAY_OF_WEEK,AIRLINE,FLIGHT_NUMBER,TAIL_NUMBER,ORIGIN_AIRPORT,DESTINATION_AIRPORT,SCHEDULED_DEPARTURE,DEPARTURE_TIME,DEPARTURE_DELAY,TAXI_OUT,WHEELS_OFF,SCHEDULED_TIME,ELAPSED_TIME,AIR_TIME,DISTANCE,WHEELS_ON,TAXI_IN,SCHEDULED_ARRIVAL,ARRIVAL_TIME,ARRIVAL_DELAY,DIVERTED,CANCELLED,CANCELLATION_REASON,AIR_SYSTEM_DELAY,SECURITY_DELAY,AIRLINE_DELAY,LATE_AIRCRAFT_DELAY,WEATHER_DELAY'] flights = linesWithOutHeader.map(lambda x: x.split(',')) # YEAR,MONTH,DAY,DAY_OF_WEEK,AIRLINE,FLIGHT_NUMBER,TAIL_NUMBER,ORIGIN_AIRPORT,DESTINATION_AIRPORT,SCHEDULED_DEPARTURE,DEPARTURE_TIME,DEPARTURE_DELAY, CANCELLED mainFlightsData = flights.map(lambda p: (p[0], p[1] , p[2] , p[3], p[4] , p[5] , p[6], p[7] , p[8] , p[9], p[10], p[11], p[24] )) # number 6 is ORIGIN_AIRPORT flightsFromBoston = mainFlightsData.filter(lambda p: True if p[7] == "BOS" else False ) # Get the total number of Flights from BOS flightsFromBoston.count() # 107847 flights from Logan Airport in Boston # Find the subset of flights departing on the weekend. weekEndFlights = flightsFromBoston.filter(lambda p: True if (int(p[3]) == 6 or int(p[3]) ==7) else False ) weekEndFlights.count() # 26092 #Q1 Find a list of Origin Airports #Q2 Find a list of (Origin, Destination) pairs #Q3 Find the Origin airport which had the largest departure delay in the month of January #Q4 Find out which carrier has the largest delay on Weekends. #Q5 Which airport has the most cancellation of flights? #Q6 Find the percent of flights cancelled for each carrier. #Q7 Find the largest departure delay for each carrier #Q8 Find the largest departure delay for each carrier for each month #Q9 For each carrier find the average Departure delay #Q10 For each carrier find the average Departure delay for each month #Q11 Which date of year has the highest rate of flight cancellations? # Rate of flight cancellation is calculated by deviding number of canceled flights by total number of flights. #Q12 Calculate the number of flights to each destination state # For each carrier, for which state do they have the largest average delay? # You will need the airline and airport data sets for this question. # AirLine dataset https://s3.amazonaws.com/metcs777/airlines.csv or s3://metcs777/airlines.csv # Airport dataset https://s3.amazonaws.com/metcs777/airports.csv or s3://metcs777/airports.csv # add your own questions.

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77678f260d8155b4fbe2ca23186e87d0ca0dde81

1,510

py

Python

setup.py

farirat/rima

eb2165d972256c32d4859c3bf54c5e4b589d780f

[ "Apache-2.0" ]

2

2016-05-07T10:09:29.000Z

2016-06-10T05:36:20.000Z

setup.py

farirat/rima

eb2165d972256c32d4859c3bf54c5e4b589d780f

[ "Apache-2.0" ]

null

setup.py

farirat/rima

eb2165d972256c32d4859c3bf54c5e4b589d780f

[ "Apache-2.0" ]

null

from setuptools import setup, find_packages import sys, os version = '0.0' setup(name='rima', version=version, description="Minimalist Python REST API Framework", long_description="""\ Minimalist Python REST API Framework """, classifiers=[ "Development Status :: 1 - Planning", "Environment :: Web Environment", "Intended Audience :: Information Technology", "License :: OSI Approved :: Apache Software License", "Natural Language :: English", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Topic :: Software Development :: Libraries :: Python Modules", "Topic :: Internet", "Topic :: Internet :: WWW/HTTP :: HTTP Servers", "Topic :: Internet :: WWW/HTTP :: WSGI :: Application", "Topic :: Internet :: WWW/HTTP :: WSGI :: Server", ], # Get strings from http://pypi.python.org/pypi?%3Aaction=list_classifiers keywords='REST API', author='Ghassen Telmoudi', author_email='ghassen.telmoudi@gmail.com', url='', license='', packages=find_packages(exclude=['ez_setup', 'examples', 'tests']), include_package_data=True, zip_safe=False, install_requires=[ # -*- Extra requirements: -*- "tornado", "mongoengine", ], entry_points=""" # -*- Entry points: -*- """, )

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7767ac0e64dfc02b7c55003a7ff7dca82f05c66d

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py

Python

src/backend/aspen/workflows/nextstrain_run/export.py

chanzuckerberg/covidr

afe05d703d30ec18ac83944bfb551c313cb216c4

[ "MIT" ]

2

2021-01-13T18:37:20.000Z

2021-01-16T02:17:38.000Z

src/backend/aspen/workflows/nextstrain_run/export.py

chanzuckerberg/covidr

afe05d703d30ec18ac83944bfb551c313cb216c4

[ "MIT" ]

16

2021-01-14T20:21:13.000Z

2021-01-29T22:23:13.000Z

src/backend/aspen/workflows/nextstrain_run/export.py

chanzuckerberg/covidr

afe05d703d30ec18ac83944bfb551c313cb216c4

[ "MIT" ]

null

import csv import io import json from pathlib import Path from typing import Any, Iterable, List, Mapping, MutableMapping, Set, Tuple import click from sqlalchemy import and_ from sqlalchemy.orm import aliased, joinedload, with_polymorphic from aspen.config.config import Config from aspen.database.connection import ( get_db_uri, init_db, session_scope, SqlAlchemyInterface, ) from aspen.database.models import ( AlignedGisaidDump, Entity, EntityType, PathogenGenome, PhyloRun, PublicRepositoryType, Sample, UploadedPathogenGenome, ) from aspen.database.models.workflow import Workflow METADATA_CSV_FIELDS = [ "strain", "virus", "gisaid_epi_isl", "genbank_accession", "date", "region", "country", "division", "location", "region_exposure", "country_exposure", "division_exposure", "segment", "length", "host", "age", "sex", "pango_lineage", "GISAID_clade", "originating_lab", "submitting_lab", "authors", "url", "title", "paper_url", "date_submitted", ] @click.command("save") @click.option("--phylo-run-id", type=int, required=True) @click.option("sequences_fh", "--sequences", type=click.File("w"), required=False) @click.option("selected_fh", "--selected", type=click.File("w"), required=False) @click.option("metadata_fh", "--metadata", type=click.File("w"), required=False) @click.option("builds_file_fh", "--builds-file", type=click.File("w"), required=True) @click.option( "county_sequences_fh", "--county-sequences", type=click.File("w"), required=False ) @click.option( "county_metadata_fh", "--county-metadata", type=click.File("w"), required=False ) @click.option("--test", type=bool, is_flag=True) def cli( phylo_run_id: int, sequences_fh: io.TextIOBase, selected_fh: io.TextIOBase, metadata_fh: io.TextIOBase, builds_file_fh: io.TextIOBase, county_sequences_fh: io.TextIOBase, county_metadata_fh: io.TextIOBase, test: bool, ): if test: print("Success!") return interface: SqlAlchemyInterface = init_db(get_db_uri(Config())) with session_scope(interface) as session: # this allows us to load the secondary tables of a polymorphic type. In this # case, we want to load the inputs of a phylo run, provided the input is of type # `PathogenGenome` and `AlignedGisaidDump`. phylo_run_inputs = with_polymorphic( Entity, [PathogenGenome, AlignedGisaidDump], flat=True, ) phylo_run: PhyloRun = ( session.query(PhyloRun) .filter(PhyloRun.workflow_id == phylo_run_id) .options( joinedload(PhyloRun.inputs.of_type(phylo_run_inputs)).undefer( phylo_run_inputs.PathogenGenome.sequence ) ) .one() ) # If we're writing a file for all county-wide samples, generate it here. if county_sequences_fh: # Get all samples for the group group = phylo_run.group all_samples: Iterable[Sample] = ( session.query(Sample) .filter(Sample.submitting_group_id == group.id) .options( joinedload(Sample.uploaded_pathogen_genome, innerjoin=True).undefer( PathogenGenome.sequence ) ) ) pathogen_genomes = [ sample.uploaded_pathogen_genome for sample in all_samples ] # Write all those samples to the sequences/metadata files write_sequences_files( session, pathogen_genomes, county_sequences_fh, county_metadata_fh ) # Populate builds.yaml file with values from the phylo_run template_args # and write them to the filesystem aspen_root = Path(__file__).parent.parent.parent.parent.parent with (aspen_root / phylo_run.template_file_path).open("r") as build_template_fh: build_template = build_template_fh.read() template_args = ( phylo_run.template_args if isinstance(phylo_run.template_args, Mapping) else {} ) builds_file_fh.write(build_template.format(**template_args)) # get all the children that are pathogen genomes pathogen_genomes = [ inp for inp in phylo_run.inputs if isinstance(inp, PathogenGenome) ] # get the aligned gisaid run info. aligned_gisaid = [ inp for inp in phylo_run.inputs if isinstance(inp, AlignedGisaidDump) ][0] if sequences_fh: write_sequences_files(session, pathogen_genomes, sequences_fh, metadata_fh) if selected_fh: write_includes_file(session, phylo_run, pathogen_genomes, selected_fh) print( json.dumps( { "bucket": aligned_gisaid.s3_bucket, "metadata_key": aligned_gisaid.metadata_s3_key, "sequences_key": aligned_gisaid.sequences_s3_key, } ) ) def write_includes_file(session, phylo_run, pathogen_genomes, selected_fh): # Create a list of the inputted pathogen genomes that are uploaded pathogen genomes sample_ids: List[int] = [ pathogen_genome.sample_id for pathogen_genome in pathogen_genomes if isinstance(pathogen_genome, UploadedPathogenGenome) ] # Write an includes.txt with the sample ID's. sample_query = session.query(Sample).filter(Sample.id.in_(sample_ids)) for sample in sample_query: public_identifier = sample.public_identifier if public_identifier.lower().startswith("hcov-19"): public_identifier = public_identifier[8:] selected_fh.write(f"{public_identifier}\n") for gisaid_id in phylo_run.gisaid_ids: selected_fh.write(f"{gisaid_id}\n") def write_sequences_files(session, pathogen_genomes, sequences_fh, metadata_fh): # Create a list of the inputted pathogen genomes that are uploaded pathogen genomes uploaded_pathogen_genomes = { pathogen_genome for pathogen_genome in pathogen_genomes if isinstance(pathogen_genome, UploadedPathogenGenome) } sample_ids = { uploaded_pathogen_genome.sample_id for uploaded_pathogen_genome in uploaded_pathogen_genomes } sample_id_to_sample: Mapping[int, Sample] = { sample.id: sample for sample in session.query(Sample).filter(Sample.id.in_(sample_ids)) } accession_input_alias = aliased(Entity) pathogen_genome_id_repository_type_to_accession_names: Mapping[ Tuple[int, PublicRepositoryType], str ] = { ( accession.get_parents(PathogenGenome)[0].entity_id, PublicRepositoryType.from_entity_type(accession.entity_type), ): accession.public_identifier # We have overlap between aligned gisaid file & aspen data. for accession in session.query(Entity) .join(Entity.producing_workflow) .join(accession_input_alias, Workflow.inputs) .filter( and_( Entity.entity_type.in_( ( EntityType.GISAID_REPOSITORY_SUBMISSION, EntityType.GENBANK_REPOSITORY_SUBMISSION, ) ), accession_input_alias.id.in_( {pathogen_genome.entity_id for pathogen_genome in pathogen_genomes} ), ) ) } aspen_samples: Set[str] = set() metadata_csv_fh = csv.DictWriter(metadata_fh, METADATA_CSV_FIELDS, delimiter="\t") metadata_csv_fh.writeheader() for pathogen_genome in pathogen_genomes: # find the corresponding sample if isinstance(pathogen_genome, UploadedPathogenGenome): sample_id = pathogen_genome.sample_id else: raise ValueError("pathogen genome of unknown type") sample = sample_id_to_sample[sample_id] aspen_samples.add(sample.public_identifier) sequence = "".join( [ line for line in pathogen_genome.sequence.splitlines() if not (line.startswith(">") or line.startswith(";")) ] ) sequence = sequence.strip("Nn") upload_date = None if sample.sequencing_reads_collection is not None: upload_date = sample.sequencing_reads_collection.upload_date.strftime( "%Y-%m-%d" ) elif sample.uploaded_pathogen_genome is not None: upload_date = sample.uploaded_pathogen_genome.upload_date.strftime( "%Y-%m-%d" ) aspen_metadata_row: MutableMapping[str, Any] = { "strain": sample.public_identifier, "virus": "ncov", "gisaid_epi_isl": pathogen_genome_id_repository_type_to_accession_names.get( (pathogen_genome.entity_id, PublicRepositoryType.GISAID), "" ), "genbank_accession": pathogen_genome_id_repository_type_to_accession_names.get( (pathogen_genome.entity_id, PublicRepositoryType.GENBANK), "" ), "date": sample.collection_date.strftime("%Y-%m-%d"), "date_submitted": upload_date, "region": sample.region.value, "country": sample.country, "division": sample.division, "location": sample.location, "region_exposure": sample.region.value, "country_exposure": sample.country, "division_exposure": sample.division, "segment": "genome", "length": len(sequence), "host": "Human", "age": "?", "sex": "?", "originating_lab": sample.sample_collected_by, "submitting_lab": sample.submitting_group.name, "authors": ", ".join(sample.authors), "pango_lineage": sample.uploaded_pathogen_genome.pangolin_lineage, } metadata_csv_fh.writerow(aspen_metadata_row) sequences_fh.write(f">{sample.public_identifier}\n") sequences_fh.write(sequence) sequences_fh.write("\n") if __name__ == "__main__": cli()

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null

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null

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77685ce53cb05d06d03bc4a12c6065a439cae421

485

py

Python

dictlearn_gpu/utils.py

mukheshpugal/dictlearn_gpu

79265ddc439e2a406adbe7e505b1b6d61fa50d25

[ "MIT" ]

null

dictlearn_gpu/utils.py

mukheshpugal/dictlearn_gpu

79265ddc439e2a406adbe7e505b1b6d61fa50d25

[ "MIT" ]

null

dictlearn_gpu/utils.py

mukheshpugal/dictlearn_gpu

79265ddc439e2a406adbe7e505b1b6d61fa50d25

[ "MIT" ]

null

import cupy as cp import numpy as np def to_gpu(mat): if not isinstance(mat, cp.ndarray): return cp.asarray(mat, dtype=cp.float32) return mat def dct_dict_1d(n_atoms, size): dct = np.zeros((size, n_atoms)) for k in range(n_atoms): basis = np.cos(np.arange(size) * k * np.pi / n_atoms) if k > 0: basis = basis - np.mean(basis) basis /= np.linalg.norm(basis) dct[:, k] = basis return dct

22.045455

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null

0

null

0

1

0

7768c92d141b2480a0d707c158a88bcde5139d2f

4,263

py

Python

yaglm/opt/prox.py

ngierty/yaglm

57e212b576af7c5c0f0d62f9d6ad2484b9e25f10

[ "MIT" ]

15

2021-10-19T15:00:12.000Z

2022-03-24T22:24:54.000Z

yaglm/opt/prox.py

ngierty/yaglm

57e212b576af7c5c0f0d62f9d6ad2484b9e25f10

[ "MIT" ]

13

2021-07-22T21:52:55.000Z

2021-10-07T11:50:10.000Z

yaglm/opt/prox.py

ngierty/yaglm

57e212b576af7c5c0f0d62f9d6ad2484b9e25f10

[ "MIT" ]

2

2021-11-12T18:45:12.000Z

2021-12-14T14:57:42.000Z

import numpy as np from yaglm.linalg_utils import euclid_norm def soft_thresh(vec, thresh_vals): """ The soft thresholding operator. Parameters ---------- vec: array-like The values to threshold thresh_vals: float, array-like The thresholding values Output ------- vec_thresh: array-like """ return np.sign(vec) * np.fmax(abs(vec) - thresh_vals, 0) # TODO: is this useful? If not remove it # def prox_ridge_lasso(x, lasso_pen_val=1, lasso_weights=None, # ridge_pen_val=1, ridge_weights=None, step=1): # """ # Evaluates the proximal operator of # f(x; step) = lasso_mul * sum_j lasso_weights_j |x_j| # + 0.5 * ridge_mul * sum_j lasso_weights_j x_j^2 # Parameters # ---------- # x: array-like # The value at which to evaluate the prox operator. # lasso_pen_val: float # The multiplicative penalty value for the lasso penalty. # lasso_weights: None, array-like # The (optional) variable weights for the lasso penalty. # ridge_pen_val: float # The multiplicative penalty value for the ridge penalty. # ridge_weights: None, array-like # The (optional) variable weights for the ridge penalty. # step: float # The step size. # Output # ------ # prox_val: array-like # The proximal operator. # """ # lasso_pen_val = lasso_pen_val * step # ridge_pen_val = ridge_pen_val * step # if lasso_weights is None: # lasso_weights = np.ones_like(x) # thresh = lasso_pen_val * np.array(lasso_weights) # if ridge_weights is None: # ridge_weights = np.ones_like(x) # mult = ridge_pen_val * np.array(ridge_weights) # mult = 1 / (1 + mult) # return soft_thresh(x * mult, thresh * mult) # TODO: is this useful? If not remove it. # def prox_ridge_perturb(x, prox, ridge_pen_val=1, step=1): # """ # Evaluates the proximal operator of # f(x) + 0.5 * ridge_pen_val ||x||_2^2 # e.g. see Theorem 6.13 of (Beck, 2017). # Parameters # ---------- # x: array-like # The value at which to evaluate the prox operator. # prox: callable(x, step) -> array-like # The proximal operator of f. # ridge_pen_val: float # The ridge penalty value. # step: float # The step size. # Output # ------ # prox_val: array-like # The proximal operator. # References # ---------- # Beck, A., 2017. First-order methods in optimization. Society for Industrial and Applied Mathematics. # """ # denom = ridge_pen_val * step + 1 # return prox(x / denom, step=step / denom) def L2_prox(x, mult): """ Computes the proximal operator of mult * ||x||_2 """ norm = euclid_norm(x) if norm <= mult: return np.zeros_like(x) else: return x * (1 - (mult / norm)) def squared_l1_prox_pos(x, step=1, weights=None, check=False): """ prox_{step * f}(x) for postive vectors x where f(z) = (sum_i w_i |z_i|)^2 Parameters ---------- x: array-like The vector to evaluate the prox at. Note this must be positive. step: float The prox step size. weights: array-like The (optional) positive weights. check: bool Whether or not to check that x is non-negative. Output ------ p: array-like The value of the proximal operator. References ---------- Lin, M., Sun, D., Toh, K.C. and Yuan, Y., 2019. A dual Newton based preconditioned proximal point algorithm for exclusive lasso models. arXiv preprint arXiv:1902.00151. """ if check: assert all(x >= 0) if weights is None: weights = np.ones_like(x) # get indices to sort x / weights in decreasing order x_over_w = x / weights decr_sort_idxs = np.argsort(x_over_w)[::-1] x_sort = x[decr_sort_idxs] weights_sort = weights[decr_sort_idxs] # compute threshold value s = np.cumsum(x_sort * weights_sort) L = np.cumsum(weights_sort ** 2) alpha_bar = max(s / (1 + 2 * step * L)) thresh = 2 * step * alpha_bar * weights # return soft thresholding return np.maximum(x - thresh, 0)

25.076471

172

0.604269

597

4,263

4.157454

0.268007

0.033844

0.058018

0.033844

0.311039

0.267123

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0.239323

0.172442

0

0.017286

0.280788

4,263

169

173

25.224852

0.792237

0.726484

0

0.005917

0.041667

1

0.125

false

0

0.083333

0

0.375

0

null

0

null

0

1

0

77692efc43ca99a211134cc384641108b1111a00

902

py

Python

HW-1.py

SESCNCFUARTYOM/repforkeys

a20b14f16f3dd0df4f95b9927855b77bde7ef8e3

[ "MIT" ]

null

HW-1.py

SESCNCFUARTYOM/repforkeys

a20b14f16f3dd0df4f95b9927855b77bde7ef8e3

[ "MIT" ]

null

HW-1.py

SESCNCFUARTYOM/repforkeys

a20b14f16f3dd0df4f95b9927855b77bde7ef8e3

[ "MIT" ]

null

n, i, m, g, gg = 0, 0, 0, 0, 0 n = int(input()) if n > 1983: while n > 1983: n -= 60 m = n - 1923 else: while n < 1983: n += 60 m = n - 1983 g = (m // 12) + 1 gg = m % 12 result = '' if g == 1: result = 'зеленой' elif g == 2: result = 'красной' elif g == 3: result = 'желтой' elif g == 4: result = 'белой' elif g == 5: result = 'черной' elif g == 6: result = 'черной' if gg == 1: result += 'крысы' elif gg == 2: result += 'коровы' elif gg == 3: result += ' тигра' elif gg == 4: result += ' зайца' elif gg == 5: result += ' дракона' elif gg == 6: result += ' змеи' elif gg == 7: result += ' лошади' elif gg == 8: result += ' овцы' elif gg == 9: result += ' обезьяны' elif gg == 10: result += ' курицы' elif gg == 11: result += ' собаки' elif gg == 0: result += ' свиньи' print(result)

15.824561

30

0.473392

133

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0.154567

0.021077

0.018735

0.070258

0

0.091681

0.347007

902

57

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1

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false

0

0.02

0

null

0

null

0

1

0

77694ac8b2dc5a16098243dd7f10b1803ad2cd33

1,961

py

Python

App/workflow.py

dataminion/ScienceManager

924e1de41aca56985d9e30750264eb995604f352

[ "MIT" ]

null

App/workflow.py

dataminion/ScienceManager

924e1de41aca56985d9e30750264eb995604f352

[ "MIT" ]

null

App/workflow.py

dataminion/ScienceManager

924e1de41aca56985d9e30750264eb995604f352

[ "MIT" ]

null

#workflow import sys ##python libraries import argparse import logging import logging.config ## ## Internal libraries from service.configuration import Configuration from service.job import Job from model.object import Object from model.connection import ConnectionSettings from model.workflow import * class Program(object): """ A simple data structure to hold job parameters """ Log = logging M = Object() S = Object() Args = Object() M.Workflow = Workflow() M.Tasks = [] S.Conf = Configuration(file='./var/cfg.yaml') logging.config.dictConfig(S.Conf.get_logging()) def __init__(self): pass def main(self): self._handle_arguments() program = None program = self.Args.program if program is not None: self.M.conn = self.S.Conf.set_database_connection(ConnectionSettings()) self.S.job = Job(self.Log, self.M.conn) # self.M.Workflow = self.S.job.get_job_details(self.M.Workflow, self.Args.program) # self.M.Workflow.batch_id = self.S.job.register_job(1, 1) # self.M.Workflow.tasks = self.S.job.setup_job(self.M.Workflow.id) # self.S.job.process_job_items(self.M.Workflow.tasks) def _handle_arguments(self): self.Log.info('handling arguments') parser = argparse.ArgumentParser(description='Teradata "Science Manager" v0.1 ') parser.add_argument('-p', '--program', help='set the program to be executed') parser.add_argument('-l', '--list', help='get a list of available programs') if len(sys.argv) == 1: parser.print_help() sys.exit(1) parser.parse_args(namespace=self.Args) class Error(Exception): def __init__(self, m='Workflow error occurred.'): self.message = m def __str__(self): return self.message if __name__ == "__main__": Program().main()

30.169231

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0.021452

0

0.004046

0.243753

1,961

65

93

30.169231

0.813216

0.046405

0

0.095469

0

1

0.106383

false

0.021277

0.191489

0.021277

0.446809

0.021277

0

null

0

null

0

1

0

776b5a586a307c515edd0602fb6ce773dfcc4ddd

5,969

py

Python

cloudify_aws/kms/tests/test_key.py

jrzeszutek/cloudify-aws-plugin

59832b4ac5ddad496110085ed2e21dd36db5e9df

[ "Apache-2.0" ]

13

2015-05-28T23:21:05.000Z

2022-03-20T05:38:20.000Z

cloudify_aws/kms/tests/test_key.py

jrzeszutek/cloudify-aws-plugin

59832b4ac5ddad496110085ed2e21dd36db5e9df

[ "Apache-2.0" ]

49

2015-01-04T16:05:34.000Z

2022-03-27T11:35:13.000Z

cloudify_aws/kms/tests/test_key.py

jrzeszutek/cloudify-aws-plugin

59832b4ac5ddad496110085ed2e21dd36db5e9df

[ "Apache-2.0" ]

41

2015-01-21T17:16:05.000Z

2022-03-31T06:47:48.000Z

# Copyright (c) 2018 Cloudify Platform Ltd. 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. # Standard imports import unittest # Third party imports from mock import MagicMock # Local imports from cloudify_aws.common.tests.test_base import CLIENT_CONFIG from cloudify_aws.kms.tests.test_kms import TestKMS from cloudify_aws.kms.resources import key # Constants KEY_TH = ['cloudify.nodes.Root', 'cloudify.nodes.aws.kms.CustomerMasterKey'] NODE_PROPERTIES = { 'use_external_resource': False, 'resource_config': { "kwargs": { "Description": "An example CMK.", "Tags": [{ "TagKey": "Cloudify", "TagValue": "Example" }] } }, 'client_config': CLIENT_CONFIG } RUNTIME_PROPERTIES = { 'resource_config': {} } RUNTIME_PROPERTIES_AFTER_CREATE = { 'aws_resource_arn': 'arn_id', 'aws_resource_id': 'key_id', 'resource_config': {} } class TestKMSKey(TestKMS): def test_prepare(self): self._prepare_check( type_hierarchy=KEY_TH, type_name='kms', type_class=key ) def test_create_raises_UnknownServiceError(self): self._prepare_create_raises_UnknownServiceError( type_hierarchy=KEY_TH, type_name='kms', type_class=key ) def test_create(self): _ctx = self._prepare_context( KEY_TH, NODE_PROPERTIES ) self.fake_client.create_key = MagicMock(return_value={ 'KeyMetadata': { 'Arn': "arn_id", 'KeyId': 'key_id' } }) key.create(ctx=_ctx, resource_config=None, iface=None) self.fake_boto.assert_called_with('kms', **CLIENT_CONFIG) self.fake_client.create_key.assert_called_with( Description='An example CMK.', Tags=[{'TagKey': 'Cloudify', 'TagValue': 'Example'}] ) self.assertEqual( _ctx.instance.runtime_properties, RUNTIME_PROPERTIES_AFTER_CREATE ) def test_enable(self): _ctx = self._prepare_context( KEY_TH, NODE_PROPERTIES, RUNTIME_PROPERTIES_AFTER_CREATE ) self.fake_client.schedule_key_deletion = MagicMock(return_value={}) key.enable(ctx=_ctx, resource_config=None, iface=None) self.fake_boto.assert_called_with('kms', **CLIENT_CONFIG) self.assertEqual( _ctx.instance.runtime_properties, RUNTIME_PROPERTIES_AFTER_CREATE ) def test_disable(self): _ctx = self._prepare_context( KEY_TH, NODE_PROPERTIES, RUNTIME_PROPERTIES_AFTER_CREATE ) self.fake_client.schedule_key_deletion = MagicMock(return_value={}) key.disable(ctx=_ctx, resource_config=None, iface=None) self.fake_boto.assert_called_with('kms', **CLIENT_CONFIG) self.assertEqual( _ctx.instance.runtime_properties, RUNTIME_PROPERTIES_AFTER_CREATE ) def test_delete(self): _ctx = self._prepare_context( KEY_TH, NODE_PROPERTIES, RUNTIME_PROPERTIES_AFTER_CREATE ) self.fake_client.schedule_key_deletion = MagicMock(return_value={}) key.delete(ctx=_ctx, resource_config=None, iface=None) self.fake_boto.assert_called_with('kms', **CLIENT_CONFIG) self.fake_client.schedule_key_deletion.assert_called_with( KeyId='key_id' ) self.assertEqual( _ctx.instance.runtime_properties, RUNTIME_PROPERTIES_AFTER_CREATE ) def test_KMSKey_status(self): test_instance = key.KMSKey("ctx_node", resource_id='queue_id', client=self.fake_client, logger=None) self.assertEqual(test_instance.status, None) def test_KMSKey_properties(self): test_instance = key.KMSKey("ctx_node", resource_id='queue_id', client=self.fake_client, logger=None) self.assertEqual(test_instance.properties, None) def test_KMSKey_properties_with_key(self): test_instance = key.KMSKey("ctx_node", resource_id='queue_id', client=self.fake_client, logger=None) self.fake_client.describe_key = MagicMock( return_value={'KeyMetadata': 'z'} ) self.assertEqual(test_instance.properties, 'z') def test_KMSKey_enable(self): test_instance = key.KMSKey("ctx_node", resource_id='queue_id', client=self.fake_client, logger=None) self.fake_client.enable_key = MagicMock( return_value={'KeyMetadata': 'y'} ) self.assertEqual( test_instance.enable({'a': 'b'}), {'KeyMetadata': 'y'} ) self.fake_client.enable_key.assert_called_with(a='b') def test_KMSKey_disable(self): test_instance = key.KMSKey("ctx_node", resource_id='queue_id', client=self.fake_client, logger=None) self.fake_client.disable_key = MagicMock( return_value={'KeyMetadata': 'y'} ) self.assertEqual( test_instance.disable({'a': 'b'}), {'KeyMetadata': 'y'} ) self.fake_client.disable_key.assert_called_with(a='b') if __name__ == '__main__': unittest.main()

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5,969

5.273543

0.22571

0.045351

0.063492

0.637188

0.573696

0.556406

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0.125

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null

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null

0

1

0

776c1f07ea108fe03cb9a7205323ee4e16411b3f

10,184

py

Python

terraref/laser3d/laser3d.py

terraref/ply2las

90c791c64e2d94effa7d155228bf306e2f3fa29c

[ "BSD-3-Clause" ]

1

2018-09-27T05:45:56.000Z

terraref/laser3d/laser3d.py

terraref/laser3d

90c791c64e2d94effa7d155228bf306e2f3fa29c

[ "BSD-3-Clause" ]

3

2018-05-16T19:40:26.000Z

2018-12-14T20:02:53.000Z

terraref/laser3d/laser3d.py

terraref/ply2las

90c791c64e2d94effa7d155228bf306e2f3fa29c

[ "BSD-3-Clause" ]

1

2018-07-31T13:34:13.000Z

import subprocess import numpy import os import laspy from osgeo import gdal from plyfile import PlyData, PlyElement import matplotlib.pyplot as plt #from rpy2.robjects import r, pandas2ri, numpy2ri from terrautils.formats import create_geotiff from terrautils.spatial import scanalyzer_to_mac def ply_to_array(inp, md, utm): """Read PLY files into a numpy matrix. :param inp: list of input PLY files or single file path :param md: metadata for the PLY files :param utm: True to return coordinates to UTM, False to return gantry fixed coordinates :return: tuple of (x_points, y_points, z_points, utm_bounds) """ if not isinstance(inp, list): inp = [inp] scandist = float(md['sensor_variable_metadata']['scan_distance_mm'])/1000.0 scan_dir = int(md['sensor_variable_metadata']['scan_direction']) pco = md['sensor_variable_metadata']['point_cloud_origin_m']['east'] # Create concatenated list of vertices to generate one merged LAS file first = True for plyf in inp: if plyf.find("west") > -1: curr_side = "west" cambox = [2.070, 2.726, 1.135] else: curr_side = "east" cambox = [2.070, 0.306, 1.135] plydata = PlyData.read(plyf) merged_x = plydata['vertex']['x'] merged_y = plydata['vertex']['y'] merged_z = plydata['vertex']['z'] # Attempt fix using math from terrautils.spatial.calculate_gps_bounds fix_x = merged_x + cambox[0] + 0.082 if scan_dir == 0: fix_y = merged_y + float(2.0*float(cambox[1])) - scandist/2.0 + ( -0.354 if curr_side == 'east' else -4.363) utm_x, utm_y = scanalyzer_to_mac( (fix_x * 0.001) + pco['x'], (fix_y * 0.001) + pco['y']/2.0 - 0.1 ) else: fix_y = merged_y + float(2.0*float(cambox[1])) - scandist/2.0 + ( 4.2 if curr_side == 'east' else -3.43) utm_x, utm_y = scanalyzer_to_mac( (fix_x * 0.001) + pco['x'], (fix_y * 0.001) + pco['y']/2.0 + 0.4 ) fix_z = merged_z + cambox[2] utm_z = (fix_z * 0.001)+ pco['z'] # Create matrix of fixed gantry coords for TIF, but min/max of UTM coords for georeferencing if first: if utm: x_pts = utm_x y_pts = utm_y else: x_pts = fix_x y_pts = fix_y z_pts = utm_z min_x_utm = numpy.min(utm_x) min_y_utm = numpy.min(utm_y) max_x_utm = numpy.max(utm_x) max_y_utm = numpy.max(utm_y) first = False else: if utm: x_pts = numpy.concatenate([x_pts, utm_x]) y_pts = numpy.concatenate([y_pts, utm_y]) else: x_pts = numpy.concatenate([x_pts, fix_x]) y_pts = numpy.concatenate([y_pts, fix_y]) z_pts = numpy.concatenate([z_pts, utm_z]) min_x_utm2 = numpy.min(utm_x) min_y_utm2 = numpy.min(utm_y) max_x_utm2 = numpy.max(utm_x) max_y_utm2 = numpy.max(utm_y) min_x_utm = min_x_utm if min_x_utm < min_x_utm2 else min_x_utm2 min_y_utm = min_y_utm if min_y_utm < min_y_utm2 else min_y_utm2 max_x_utm = max_x_utm if max_x_utm > max_x_utm2 else max_x_utm2 max_y_utm = max_y_utm if max_y_utm > max_y_utm2 else max_y_utm2 bounds = (min_y_utm, max_y_utm, min_x_utm, max_x_utm) return (x_pts, y_pts, z_pts, bounds) def generate_las_from_ply(inp, out, md, utm=True): """Read PLY file to array and write that array to an LAS file. :param inp: list of input PLY files or single file path :param out: output LAS file :param md: metadata for the PLY files :param utm: True to return coordinates to UTM, False to return gantry fixed coordinates """ (x_pts, y_pts, z_pts, bounds) = ply_to_array(inp, md, utm) # Create header and populate with scale and offset w = laspy.base.Writer(out, 'w', laspy.header.Header()) w.header.offset = [numpy.floor(numpy.min(y_pts)), numpy.floor(numpy.min(x_pts)), numpy.floor(numpy.min(z_pts))] if utm: w.header.scale = [.000001, .000001, .000001] else: w.header.scale = [1, 1, .000001] w.set_x(y_pts, True) w.set_y(x_pts, True) w.set_z(z_pts, True) w.set_header_property("x_max", numpy.max(y_pts)) w.set_header_property("x_min", numpy.min(y_pts)) w.set_header_property("y_max", numpy.max(x_pts)) w.set_header_property("y_min", numpy.min(x_pts)) w.set_header_property("z_max", numpy.max(z_pts)) w.set_header_property("z_min", numpy.min(z_pts)) w.close() return bounds def generate_tif_from_ply(inp, out, md, mode='max'): """ Create a raster (e.g. Digital Surface Map) from LAS pointcloud. :param inp: input LAS file :param out: output TIF file :param md: metadata for the PLY files :param mode: max | min | mean | idx | count | stdev (https://pdal.io/stages/writers.gdal.html) """ pdal_dtm = out.replace(".tif", "_dtm.json") las_raw = out.replace(".tif", "_temp.las") tif_raw = out.replace(".tif", "unreferenced.tif") bounds = generate_las_from_ply(inp, las_raw, md, False) if not os.path.exists(tif_raw): # Generate a temporary JSON file with PDAL pipeline for conversion to TIF and execute it with open(pdal_dtm, 'w') as dtm: dtm.write("""{ "pipeline": [ "%s", { "filename":"%s", "output_type":"%s", "resolution": 1, "type": "writers.gdal" } ] }""" % (las_raw, tif_raw, mode)) # "gdalopts": "t_srs=epsg:32612" cmd = 'pdal pipeline %s' % pdal_dtm subprocess.call([cmd], shell=True) os.remove(las_raw) # Georeference the unreferenced TIF file according to PLY UTM bounds ds = gdal.Open(tif_raw) px = ds.GetRasterBand(1).ReadAsArray() #if scan_dir == 0: # px = numpy.rot90(px, 2) # x = numpy.fliplr(px) create_geotiff(px, bounds, out, asfloat=True) os.remove(tif_raw) def las_to_height(in_file, out_file=None): """Return a tuple of (height histogram, max height) from an LAS file.""" number_of_bins = 500 height_hist = numpy.zeros(number_of_bins) las_handle = laspy.file.File(in_file) zData = las_handle.Z if (zData.size) == 0: return height_hist, 0 max_height = (numpy.max(zData)) height_hist = numpy.histogram(zData, bins=range(-1, number_of_bins), normed=False)[0] if out_file: out = open(out_file, 'w') out.write("bin,height_cm,count\n") for i in range(len(height_hist)): out.write("%s,%s,%s\n" % (i+1, "%s-%s" % (i, i+1), height_hist[i])) out.close() return height_hist, max_height def load_tif_vector(heightmap_tif): """Load heightmap geotiff into a vector for other methods.""" f = gdal.Open(heightmap_tif) vector = numpy.array(f.GetRasterBand(1).ReadAsArray()) vector[vector == -9999.] = numpy.nan return vector def tif_sample(geotiff, sample_num=1000, vector=None): """Return random sampling of heightmap values. vector: Use already-loaded vector instead of reloading.""" if not vector: vector = load_tif_vector(geotiff) return numpy.random.choice(vector[~numpy.isnan(vector)], sample_num) def tif_mean(geotiff, vector=None): """Get average of geotiff values. vector: Use already-loaded vector instead of reloading.""" if not vector: vector = load_tif_vector(geotiff) return numpy.nanmean(vector) def tif_var(geotiff, vector=None): """Get variance of geotiff values. vector: Use already-loaded vector instead of reloading.""" if not vector: vector = load_tif_vector(geotiff) return numpy.nanvar(vector) def tif_hist(geotiff, save=False, vector=None): """Get histogram of geotiff values. save: False, or a path to .png file. vector: Use already-loaded vector instead of reloading. """ if not vector: vector = load_tif_vector(geotiff) newv = numpy.concatenate(vector, axis=0) plt.hist(newv[~numpy.isnan(newv)], 50, normed=1, facecolor='green', alpha=0.75) plt.xlabel('Geotiff value') plt.ylabel('Probability') plt.title('Histogram of Geotiff') if save: plt.savefig(save) plt.close() else: plt.show() def tif_fit_rleafangle(geotiff): """Use R to fit leaf angle.""" f = gdal.Open(geotiff) vector = numpy.concatenate(numpy.array(f.GetRasterBand(1).ReadAsArray()), axis=0) vector[vector == -9999.] = numpy.nan newvector = vector[~numpy.isnan(vector)] rstring = """ function(angles){ n <- length(angles) betapara <- RLeafAngle::computeBeta(angles) result <- data.frame(rbind( c(trait = 'leaf_angle_twoparbeta', beta1 = betapara[1], beta2 = betapara[2], mean = betapara[1]/(betapara[1]+betapara[2]), variance = betapara[1]*betapara[2]/(betapara[1]+betapara[2])/(betapara[1]+betapara[2])/(betapara[1]+betapara[2]+1), n = n))) return(result) } """ numpy2ri.activate() rfunc = r(rstring) r_df = rfunc(newvector) newdf = pandas2ri.ri2py(r_df) return newdf def tif_fit_pyleafangle(geotiff): """Use Python to fit leaf angle.""" f = gdal.Open(geotiff) vector = numpy.concatenate(numpy.array(f.GetRasterBand(1).ReadAsArray()), axis=0) vector[vector == -9999.] = numpy.nan newvector = vector[~numpy.isnan(vector)] xbar = numpy.mean(newvector) xvar = numpy.var(newvector) alpha = (((1 - xbar) / xvar - 1) / xbar) * (xbar ^ 2) beta = alpha * (1 / xbar - 1) return ('leaf_angle_twoparbeta', alpha, beta, xbar, xvar)

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null

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null

0

1

0

776c5fd7e0466ea12b425b1c163bacd2680eebf7

1,721

py

Python

tests/testutils.py

rcap107/holoclean

d4f5929a8e4d92d4f41eb058c04c96cdcb0af767

[ "Apache-2.0" ]

468

2018-11-11T15:40:12.000Z

2022-03-30T13:21:48.000Z

tests/testutils.py

rcap107/holoclean

d4f5929a8e4d92d4f41eb058c04c96cdcb0af767

[ "Apache-2.0" ]

43

2018-11-10T20:03:49.000Z

2020-10-20T16:39:03.000Z

tests/testutils.py

rcap107/holoclean

d4f5929a8e4d92d4f41eb058c04c96cdcb0af767

[ "Apache-2.0" ]

118

2018-11-12T19:11:42.000Z

2022-03-23T18:25:29.000Z

import random from psycopg2 import connect from psycopg2.extensions import ISOLATION_LEVEL_AUTOCOMMIT def random_database(): """ Creates a random database in the testing Postgres instance and returns the name of the database. """ # Setup connection with default credentials for testing. with connect(dbname='holo', user='holocleanuser', password='abcd1234', host='localhost') as conn: conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT) with conn.cursor() as cur: while True: # Generate a random DB name that is not already in Postgres. db_name = 'test_holo_{}'.format(random.randint(0, 1e6)) cur.execute(""" SELECT EXISTS( SELECT datname FROM pg_catalog.pg_database WHERE datname = '{db_name}' ); """.format(db_name=db_name)) if cur.fetchall()[0][0]: continue cur.execute("CREATE DATABASE {db_name}".format(db_name=db_name)) return db_name def delete_database(db_name): with connect(dbname='holo', user='holocleanuser', password='abcd1234', host='localhost') as conn: conn.set_isolation_level(ISOLATION_LEVEL_AUTOCOMMIT) with conn.cursor() as cur: # Terminate un-closed connections. cur.execute(""" SELECT pid, pg_terminate_backend(pid) FROM pg_stat_activity WHERE datname = '{db_name}' AND pid <> pg_backend_pid();""".format(db_name=db_name)) # Drop the database. cur.execute("DROP DATABASE IF EXISTS {db_name}".format(db_name=db_name))

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101

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null

0

null

0

1

0

1

776e3a1ebfc475a08f1ca5cdf7ac7816f0fc1b69

12,441

py

Python

mainapp/models.py

mmiyaji/Dansible

06d5ea1fce1345388e7101db33f23e6460e3c3cf

[ "MIT" ]

null

mainapp/models.py

mmiyaji/Dansible

06d5ea1fce1345388e7101db33f23e6460e3c3cf

[ "MIT" ]

null

mainapp/models.py

mmiyaji/Dansible

06d5ea1fce1345388e7101db33f23e6460e3c3cf

[ "MIT" ]

null

#!/usr/bin/env python # encoding: utf-8 """ models.py Created by mmiyaji on 2016-07-11. Copyright (c) 2016 ruhenheim.org. All rights reserved. """ from __future__ import unicode_literals import datetime, time, uuid from django.db import models from django.contrib.auth import models as auth_models class ServerAttribute(models.Model): """ 属性モデル """ name = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) comment = models.TextField(default="") uuid = models.CharField(max_length = 32, default=uuid.uuid4().hex, editable=False, unique=True) isvalid = models.BooleanField(default=True, db_index=True) updated_at = models.DateTimeField(auto_now = True, db_index=True) created_at = models.DateTimeField(auto_now_add = True, db_index=True) @staticmethod def get_all(): return ServerAttribute.objects.filter(isvalid__exact=True) @staticmethod def get_items(page=0, span=10): result = ServerAttribute.objects.filter(isvalid__exact=True) if page!=0: page = page*span - span endpage = page + span return result[page:endpage],result.count() @staticmethod def get_list(): return ServerAttribute.objects.all() @staticmethod def get_by_id(id): result=None try: result = ServerAttribute.objects.get(id=int(id)) except: result = None return result @staticmethod def get_by_name(name=""): result=None try: result = ServerAttribute.objects.filter(name=name).get() except: result = None return result def __unicode__(self): return self.name def get_absolute_url(self): return "/server_attribute/%s" % self.id class Server(models.Model): """ サーバモデル """ name = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) comment = models.TextField(default="") uuid = models.CharField(max_length = 32, default=uuid.uuid4().hex, editable=False, unique=True) isvalid = models.BooleanField(default=True, db_index=True) updated_at = models.DateTimeField(auto_now = True, db_index=True) created_at = models.DateTimeField(auto_now_add = True, db_index=True) @staticmethod def get_all(): return Server.objects.filter(isvalid__exact=True) @staticmethod def get_items(page=0, span=10): result = Server.objects.filter(isvalid__exact=True) if page!=0: page = page*span - span endpage = page + span return result[page:endpage],result.count() @staticmethod def get_list(): return Server.objects.all() @staticmethod def get_by_id(id): result=None try: result = Server.objects.get(id=int(id)) except: result = None return result @staticmethod def get_by_uuid(target_uuid): result = None try: result = Server.objects.filter(uuid__exact=target_uuid)[0] except: result = None return result @staticmethod def get_by_name(name=""): result=None try: result = Server.objects.filter(name=name).get() except: result = None return result def __unicode__(self): return self.name def get_absolute_url(self): return "/server/%s" % self.id class OSTemplate(models.Model): """ OSテンプレートモデル """ name = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) comment = models.TextField(default="") server_attribute = models.ForeignKey(ServerAttribute, db_index=True) uuid = models.CharField(max_length = 32, default=uuid.uuid4().hex, editable=False, unique=True) isvalid = models.BooleanField(default=True, db_index=True) updated_at = models.DateTimeField(auto_now = True, db_index=True) created_at = models.DateTimeField(auto_now_add = True, db_index=True) @staticmethod def get_all(): return OSTemplate.objects.filter(isvalid__exact=True) @staticmethod def get_items(page=0, span=10): result = OSTemplate.objects.filter(isvalid__exact=True) if page!=0: page = page*span - span endpage = page + span return result[page:endpage],result.count() @staticmethod def get_list(): return OSTemplate.objects.all() @staticmethod def get_by_id(id): result=None try: result = OSTemplate.objects.get(id=int(id)) except: result = None return result @staticmethod def get_by_name(name=""): result=None try: result = OSTemplate.objects.filter(name=name).get() except: result = None return result def __unicode__(self): return self.name def get_absolute_url(self): return "/os_template/%s" % self.id class ConfigFile(models.Model): """ 設定モデル """ name = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) comment = models.TextField(default="") file_path = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) file_permittion = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) file_owner = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) file_group = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) uuid = models.CharField(max_length = 32, default=uuid.uuid4().hex, editable=False, unique=True) isvalid = models.BooleanField(default=True, db_index=True) updated_at = models.DateTimeField(auto_now = True, db_index=True) created_at = models.DateTimeField(auto_now_add = True, db_index=True) @staticmethod def get_all(): return ConfigFile.objects.filter(isvalid__exact=True) @staticmethod def get_items(page=0, span=10): result = ConfigFile.objects.filter(isvalid__exact=True) if page!=0: page = page*span - span endpage = page + span return result[page:endpage],result.count() @staticmethod def get_list(): return ConfigFile.objects.all() @staticmethod def get_by_id(id): result=None try: result = ConfigFile.objects.get(id=int(id)) except: result = None return result @staticmethod def get_by_name(name=""): result=None try: result = ConfigFile.objects.filter(name=name).get() except: result = None return result def __unicode__(self): return self.name def get_absolute_url(self): return "/config_file/%s" % self.id class ConfigData(models.Model): """ 設定モデル """ name = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) comment = models.TextField(default="") file_path = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) file_permittion = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) file_owner = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) file_group = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) uuid = models.CharField(max_length = 32, default=uuid.uuid4().hex, editable=False, unique=True) isvalid = models.BooleanField(default=True, db_index=True) updated_at = models.DateTimeField(auto_now = True, db_index=True) created_at = models.DateTimeField(auto_now_add = True, db_index=True) @staticmethod def get_all(): return ConfigData.objects.filter(isvalid__exact=True) @staticmethod def get_items(page=0, span=10): result = ConfigData.objects.filter(isvalid__exact=True) if page!=0: page = page*span - span endpage = page + span return result[page:endpage],result.count() @staticmethod def get_list(): return ConfigData.objects.all() @staticmethod def get_by_id(id): result=None try: result = ConfigData.objects.get(id=int(id)) except: result = None return result @staticmethod def get_by_name(name=""): result=None try: result = ConfigData.objects.filter(name=name).get() except: result = None return result def __unicode__(self): return self.name def get_absolute_url(self): return "/config_data/%s" % self.id class ConfigCommand(models.Model): """ 設定モデル """ name = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) comment = models.TextField(default="") command = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) command_user = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) uuid = models.CharField(max_length = 32, default=uuid.uuid4().hex, editable=False, unique=True) isvalid = models.BooleanField(default=True, db_index=True) updated_at = models.DateTimeField(auto_now = True, db_index=True) created_at = models.DateTimeField(auto_now_add = True, db_index=True) @staticmethod def get_all(): return ConfigCommand.objects.filter(isvalid__exact=True) @staticmethod def get_items(page=0, span=10): result = ConfigCommand.objects.filter(isvalid__exact=True) if page!=0: page = page*span - span endpage = page + span return result[page:endpage],result.count() @staticmethod def get_list(): return ConfigCommand.objects.all() @staticmethod def get_by_id(id): result=None try: result = ConfigCommand.objects.get(id=int(id)) except: result = None return result @staticmethod def get_by_name(name=""): result=None try: result = ConfigCommand.objects.filter(name=name).get() except: result = None return result def __unicode__(self): return self.name def get_absolute_url(self): return "/config_command/%s" % self.id class Config(models.Model): """ 設定モデル """ CONFIG_CHOICES = ( ('f', 'File'), ('d', 'Data'), ('c', 'Command'), ) name = models.CharField(max_length = 100, default="", blank=False, null=False, db_index=True) comment = models.TextField(default="") config_type = models.CharField(max_length = 10, choices=CONFIG_CHOICES, default="c", blank=False, null=False, db_index=True) config_file = models.ForeignKey(ConfigFile, db_index=True) config_data = models.ForeignKey(ConfigData, db_index=True) config_command = models.ForeignKey(ConfigCommand, db_index=True) uuid = models.CharField(max_length = 32, default=uuid.uuid4().hex, editable=False, unique=True) isvalid = models.BooleanField(default=True, db_index=True) updated_at = models.DateTimeField(auto_now = True, db_index=True) created_at = models.DateTimeField(auto_now_add = True, db_index=True) @staticmethod def get_all(): return Config.objects.filter(isvalid__exact=True) @staticmethod def get_items(page=0, span=10): result = Config.objects.filter(isvalid__exact=True) if page!=0: page = page*span - span endpage = page + span return result[page:endpage],result.count() @staticmethod def get_list(): return Config.objects.all() @staticmethod def get_by_id(id): result=None try: result = Config.objects.get(id=int(id)) except: result = None return result @staticmethod def get_by_name(name=""): result=None try: result = Config.objects.filter(name=name).get() except: result = None return result def __unicode__(self): return self.name def get_absolute_url(self): return "/config/%s" % self.id class Meta: ordering = ['-created_at']

33.991803

128

0.63982

1,507

12,441

5.112143

0.079628

0.039071

0.061397

0.077882

0.88188

0.846314

0.836708

0

0.01238

0.246845

12,441

365

129

34.084932

0.809819

0.014951

0

0.780255

0

0.010955

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1

0.159236

false

0

0.012739

0.089172

0.544586

0

null

0

1

0

1

0

null

0

1

0

8

776f426a84e27e37f4447fb48972e95dce547d74

162

py

Python

lang/python/matplotlib/dyn.py

liuyang1/test

a4560e0c9ffd0bc054d55bbcf12a894ab5b7d417

[ "MIT" ]

8

2015-06-07T13:25:48.000Z

2022-03-22T23:14:50.000Z

lang/python/matplotlib/dyn.py

liuyang1/test

a4560e0c9ffd0bc054d55bbcf12a894ab5b7d417

[ "MIT" ]

30

2016-01-29T01:36:41.000Z

2018-09-19T07:01:22.000Z

lang/python/matplotlib/dyn.py

liuyang1/test

a4560e0c9ffd0bc054d55bbcf12a894ab5b7d417

[ "MIT" ]

null

import matplotlib.pyplot as p from scipy import eye import time for x in xrange(3, 7): p.imshow(eye(x)) p.show(block=False) time.sleep(3) print x

18

29

0.67284

30

162

3.633333

0.7

0

0.02381

0.222222

162

8

30

20.25

0.84127

0

null

0

0.375

null

0.125

0

null

0

1

0

null

0

1

0

1

0

3

77724149191f0e80307f99dd8a0656415ea312e7

559

py

Python

conflictgateway/social/jobsupdate.py

sebastianlees/Conflict-Gateway

e875abb48ad4d51db90983a35a6c7bd47a54d5e9

[ "MIT" ]

null

conflictgateway/social/jobsupdate.py

sebastianlees/Conflict-Gateway

e875abb48ad4d51db90983a35a6c7bd47a54d5e9

[ "MIT" ]

null

conflictgateway/social/jobsupdate.py

sebastianlees/Conflict-Gateway

e875abb48ad4d51db90983a35a6c7bd47a54d5e9

[ "MIT" ]

null

#!/usr/bin/env python from twython import Twython import random APP_KEY = 'APP KEY' # Customer Key here APP_SECRET = 'APP SECRET' # Customer secret here OAUTH_TOKEN = 'OAUTH TOKEN' # Access Token here OAUTH_TOKEN_SECRET = 'OAUTH TOKEN SECRET' # Access Token Secret here jobsnumber = random.randint(50, 100) twitter = Twython(APP_KEY, APP_SECRET, OAUTH_TOKEN, OAUTH_TOKEN_SECRET) twitter.update_status(status="Weekly jobs update: " + str(jobsnumber) + " Mediation & Conflict Resolution jobs & scholarships added... http://www.conflictgateway.com/jobs")

39.928571

172

0.763864

77

559

5.402597

0.454545

0.144231

0.115385

0.096154

0

0.010352

0.135957

559

14

172

39.928571

0.850932

0.182469

0

0.359823

0

1

0

false

0

0.222222

0

0.222222

0

null

0

null

0

1

0

77725779c0f591f17fb4ed4c63a92e76bed4c7ed

614

py

Python

degreedClient/models/skill_plan.py

Rmaravanyika/degreedClient

44beb91d2db56d81fa9f1f35b402076144aa124e

[ "Apache-2.0" ]

1

2019-08-21T07:43:08.000Z

degreedClient/models/skill_plan.py

Rmaravanyika/degreedClient

44beb91d2db56d81fa9f1f35b402076144aa124e

[ "Apache-2.0" ]

530

2019-06-11T03:06:52.000Z

2022-03-31T22:53:11.000Z

degreedClient/models/skill_plan.py

Rmaravanyika/degreedClient

44beb91d2db56d81fa9f1f35b402076144aa124e

[ "Apache-2.0" ]

null

import arrow import attr from attr import attrs, attrib @attrs class SkillPlan(object): id = attrib() attributes = attrib() links = attrib() @attrs class SkillPlanAttribute(object): name = attrib() description = attrib() visibility = attrib() sections = attrib(default=None) created_at = attr.ib(converter=attr.converters.optional(arrow.get), default=None) @attrs class SkillFollower(object): id = attrib() attributes = attrib() links = attrib() relationships = attrib() @attrs class SkillFollowerAttribute(object): employee_id = attrib() enrolled_at = attrib() is_primary_plan = attrib()

16.594595

82

0.732899

71

614

6.267606

0.478873

0.089888

0.107865

0.18427

0

0.149837

614

36

83

17.055556

0.85249

0

0.384615

0

1

0

false

0

0.115385

0

0.846154

0

null

0

null

0

1

0

1

77729e809d9ad4a191008903e41b3ead3c5eac97

273

py

Python

src/utils.py

HuiiBuh/checkers-master

112eb1df1d8b0d691edd82978945ea5527b75fab

[ "MIT" ]

1

2021-09-04T05:34:51.000Z

src/utils.py

HuiiBuh/checkers-master

112eb1df1d8b0d691edd82978945ea5527b75fab

[ "MIT" ]

null

src/utils.py

HuiiBuh/checkers-master

112eb1df1d8b0d691edd82978945ea5527b75fab

[ "MIT" ]

null

import numpy as np import base64 import pickle def img2str(image): imdata = pickle.dumps(image) return base64.b64encode(imdata).decode('ascii') def str2img(string): image = base64.b64decode(string) image = pickle.loads(image) return np.array(image)

18.2

51

0.714286

36

273

5.416667

0.555556

0.112821

0

0.053571

0.179487

273

14

52

19.5

0.816964

0

0.018315

0

1

0.2

false

0

0.3

0

0.7

0

null

0

null

0

1

0

1

777390888167fc8811e643a135d220bdf95baecc

3,457

py

Python

experiment_utils/initialization_utils.py

HanGuo97/experiment-utils

ff1288d4ab89af90e5c8c486de4dd7673a99079b

[ "MIT" ]

null

experiment_utils/initialization_utils.py

HanGuo97/experiment-utils

ff1288d4ab89af90e5c8c486de4dd7673a99079b

[ "MIT" ]

null

experiment_utils/initialization_utils.py

HanGuo97/experiment-utils

ff1288d4ab89af90e5c8c486de4dd7673a99079b

[ "MIT" ]

null

import os import click from git import Repo from absl import logging from datetime import datetime from collections import namedtuple from typing import Tuple, Optional from . import wandb_utils logging.set_verbosity(logging.INFO) ExperimentConfig = namedtuple( "ExperimentConfig", ( "project_name", "experiment_tag", "experiment_name", "experiment_description", "experiment_dir", "repo")) CONFIG: Optional[ExperimentConfig] = None LOG_STRING = click.style("Experiment", fg="blue", bold=True) def interactive_initialize( base_experiment_dir: str=".", default_project_name: Optional[str]=None, default_experiment_tag: Optional[str]=None, default_experiment_description: Optional[str]=None, initialize_wandb: bool=True ) -> ExperimentConfig: if not isinstance(base_experiment_dir, str): raise ValueError("`base_experiment_dir` must be String") # Set file-scope configuration global CONFIG # Query user inputs project_name = click.prompt( "Please Enter The Project Name", type=str, default=default_project_name) experiment_tag = click.prompt( "Please Enter The Experiment Name", type=str, default=default_experiment_tag) experiment_description = click.prompt( "Please Enter The Experiment Description", type=str, default=default_experiment_description) # Project Name should be in camel-case project_name = to_PascalCase(project_name) # Experimetn Tag should be in camel-case experiment_tag = to_PascalCase(experiment_tag) # Experiment Name will include more info experiment_name, git_repo = _get_experiment_name(tag=experiment_tag) # Experiment log dir experiment_dir = os.path.join(base_experiment_dir, experiment_name) CONFIG = ExperimentConfig( repo=git_repo, project_name=project_name, experiment_tag=experiment_tag, experiment_dir=experiment_dir, experiment_name=experiment_name, experiment_description=experiment_description) _print_config() # Confirm is the directory already exists if os.path.exists(CONFIG.experiment_dir): click.confirm(click.style( "Experiment Dir already exists, continue?", fg="red"), abort=True) # Confirm click.confirm("Do you want to continue?", abort=True) if initialize_wandb: wandb_utils.wandb_initialize( project_name=project_name, experiment_name=experiment_name, experiment_tag=experiment_tag, experiment_notes=experiment_description) return CONFIG def _get_experiment_name(tag: Optional[str]=None) -> Tuple[str, Repo]: """Get the experiment name based on Git status and time""" repo = Repo("./") date = datetime.now() name = ( f"{date.year}{date.month}{date.day}_" f"BRANCH_{repo.active_branch}_" f"COMMIT_{repo.head.commit.hexsha[:5]}_" f"TAG_{tag}") return name, repo def _print_config() -> None: if CONFIG is None: return # Maximum field lengths max_length = max(map(len, CONFIG._fields)) + 1 for i in range(len(CONFIG)): click.echo(f"{LOG_STRING} " f"{CONFIG._fields[i]: <{max_length}}: " f"{CONFIG[i]}") def to_PascalCase(s: str) -> str: return "".join(x for x in s.title() if not x.isspace())

29.29661

78

0.676598

413

3,457

5.445521

0.2954

0.058693

0.081814

0.032014

0.249

0.066696

0

0.000751

0.22939

3,457

117

79

29.547009

0.843468

0.087938

0

0.075

0

0.154508

0.045237

0

1

0.05

false

0

0.1

0.0125

0.2

0.025

0

null

0

null

0

1

0

77751b2395c16d4aa8161f9896e4bd62cf296098

1,045

py

Python

MDD.py

Asteria-Sun/Some-Short-Programs

df0b1a0f5fc838efbdb88da91ad653026044e23a

[ "Apache-2.0" ]

null

MDD.py

Asteria-Sun/Some-Short-Programs

df0b1a0f5fc838efbdb88da91ad653026044e23a

[ "Apache-2.0" ]

null

MDD.py

Asteria-Sun/Some-Short-Programs

df0b1a0f5fc838efbdb88da91ad653026044e23a

[ "Apache-2.0" ]

null

'''最大回撤计算''' import numpy as np import pandas as pd import datetime #随机趋势+持续上涨的趋势 price = 2 + np.random.randn(21) + np.linspace(0,2,21) #设置日期 date = [datetime.date(2020,12,x) for x in range(2,23)] MDD_df = pd.DataFrame({'date':date,'price':price}) #简单收益率没减1是为了方便连乘 MDD_df['return+1'] = MDD_df['price']/MDD_df['price'].shift(1) MDD_df['cum_return'] = MDD_df['return+1'].cumprod() MDD_df = MDD_df.dropna(axis=0, how='any') MDD_df = MDD_df.reset_index(drop = True) MDD_df['return_max'],MDD_df['return_min'] = MDD_df['cum_return'],MDD_df['cum_return'] l=len(MDD_df) #求当前最大/最小累积收益率 for i in range(1,l): if MDD_df['return_max'][i] < MDD_df['return_max'][i-1]: MDD_df['return_max'][i] = MDD_df['return_max'][i-1] if MDD_df['return_min'][i] > MDD_df['return_min'][i-1]: MDD_df['return_min'][i] = MDD_df['return_min'][i-1] #求最大差值（必然出现在当前最大累积收益和最小累积收益之间） MDD_df['spread_max'] = MDD_df['return_max'] - MDD_df['return_min'] #根据定义求回撤率 MDD_df['d_rate'] = MDD_df['spread_max']/MDD_df['return_max'] #最大回撤率 mdd = MDD_df['d_rate'].max()

33.709677

85

0.687081

192

1,045

3.473958

0.302083

0.224888

0.247376

0.146927

0.389805

0.332834

0.185907

0

0.027778

0.104306

1,045

30

86

34.833333

0.684829

0.088995

0

0.244681

0

1

0

false

0

0.15

0

0.15

0

null

1

0

null

0

2

77752e8a5315061629304e6dc5ff4ce54a7a1a75

1,980

py

Python

src/MAT/bin/MATManagePluginDirs_tpl.py

wake-forest-ctsi/mist-toolkit

857e91976fa3b75ef2cad08612fa79cf2f743615

[ "BSD-3-Clause" ]

2

2015-10-28T17:58:31.000Z

2021-10-12T10:34:39.000Z

scrubber/MIST_2_0_4/src/MAT/bin/MATManagePluginDirs_tpl.py

manaswini18/DmD

dd1e865ddb7b43c8478b2b5733385143b1980951

[ "Apache-2.0" ]

null

scrubber/MIST_2_0_4/src/MAT/bin/MATManagePluginDirs_tpl.py

manaswini18/DmD

dd1e865ddb7b43c8478b2b5733385143b1980951

[ "Apache-2.0" ]

9

2016-12-17T22:50:37.000Z

2020-09-26T01:08:06.000Z

#!MF_PYTHONBIN # Copyright (C) 2007 - 2009 The MITRE Corporation. See the toplevel # file LICENSE for license terms. import os, sys, glob, shutil MAT_PKG_PYLIB = "MF_MAT_PKG_PYLIB" sys.path.insert(0, MAT_PKG_PYLIB) MAT_PKG_HOME = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) import MAT def Usage(): print "Usage: MATManagePluginDirs [ install | remove ] app_dir ..." print " MATManagePluginDirs list" sys.exit(1) if len(sys.argv) < 2: Usage() if sys.argv[1] in ["install", "remove"]: if len(sys.argv) < 3: Usage() mgr = MAT.PluginMgr.PluginDirMgr() if sys.argv[1] == "install": meth = mgr.installPluginDir else: meth = mgr.uninstallPluginDir for appDir in sys.argv[2:]: try: meth(appDir, verbose = True) except MAT.PluginMgr.PluginError, e: print "Warning:", str(e) print "Skipping %s." % appDir elif sys.argv[1] == "list": mgr = MAT.PluginMgr.PluginDirMgr() mgr.read() d = MAT.PluginMgr.LoadPlugins() byDir = {} for k, v in d.items(): try: byDir[v.taskRoot].append(k) except KeyError: byDir[v.taskRoot] = [k] for prefix, fullPath in mgr.dirPairs: if prefix != "": continue whatsThere = [] if os.path.exists(os.path.join(fullPath, "task.xml")): localTasks = byDir.get(fullPath) if localTasks is None: whatsThere.append("task (none visible)") elif len(localTasks) > 1: whatsThere.append("tasks: " + ", ".join(["'" + t + "'" for t in localTasks])) else: whatsThere.append("task: '" + localTasks[0] + "'") if os.path.exists(os.path.join(fullPath, "demo.xml")): whatsThere.append("demo") print fullPath, "("+"; ".join(whatsThere)+")" else: print "Operation '%s' unknown." % sys.argv[1] Usage()

29.117647

93

0.569697

237

1,980

4.696203

0.396624

0.037736

0.028751

0.026954

0.086253

0.057502

0

0.013447

0.286364

1,980

67

94

29.552239

0.774239

0.056061

0

0.188679

0

0.126073

0

null

0

0.037736

null

0.113208

0

null

0

null

0

1

0

1

777555e78b559e5e4b478451278bf7a1b55935a1

1,071

py

Python

Strategy/python/strategy.py

JaviMiot/patternDesignJS_Python

110cd02320e485c17f7d3b6bbafc4ffa53ae974c

[ "MIT" ]

null

Strategy/python/strategy.py

JaviMiot/patternDesignJS_Python

110cd02320e485c17f7d3b6bbafc4ffa53ae974c

[ "MIT" ]

null

Strategy/python/strategy.py

JaviMiot/patternDesignJS_Python

110cd02320e485c17f7d3b6bbafc4ffa53ae974c

[ "MIT" ]

null

from abc import ABC, abstractmethod class Operation(ABC): @abstractmethod def calculate(self, number1: float, number2: float) -> float: pass class Sum(Operation): def calculate(self, number1: float, number2: float) -> float: return number1 + number2 class Rest(Operation): def calculate(self, number1: float, number2: float) -> float: return number1 - number2 class MathOperation(ABC): def __init__(self, instance: Operation): self.__instance = instance @property def instance(self): return self.__instance @instance.setter def instance(self, instance: Operation): self.__instance = instance def calculate(self, number1: float, number2: float) -> float: return self.__instance.calculate(number1, number2) if __name__ == '__main__': mathOperators = MathOperation(Sum()) print(mathOperators.instance) print(mathOperators.calculate(1, 2)) mathOperators.instance = Rest() print(mathOperators.instance) print(mathOperators.calculate(1, 2))

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65

0.68254

113

1,071

6.292035

0.247788

0.101266

0.090014

0.129395

0.627286

0.511955

0.293952

0.222222

0

0.021403

0.214753

1,071

45

66

23.8

0.824019

0

0.344828

0

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1

0.241379

false

0.034483

0.137931

0.551724

0.137931

0

null

0

null

0

1

0

1

0

3

7775682dcc6dc253e667940b371c684ba9d3f2b3

1,295

py

Python

Kiraro/Kiraro_Voice/Say.py

NotJakeR/Kiraro-Discord-Bot

de4f765eedd92cedcb7c61b0444e8f69e905f9e6

[ "Apache-2.0" ]

null

Kiraro/Kiraro_Voice/Say.py

NotJakeR/Kiraro-Discord-Bot

de4f765eedd92cedcb7c61b0444e8f69e905f9e6

[ "Apache-2.0" ]

null

Kiraro/Kiraro_Voice/Say.py

NotJakeR/Kiraro-Discord-Bot

de4f765eedd92cedcb7c61b0444e8f69e905f9e6

[ "Apache-2.0" ]

1

2021-01-25T19:06:17.000Z

from Kiraro import bot from discord.ext import commands from discord.errors import * from discord.utils import get from Kiraro.Kiraro_Voice import idk, queue import discord import gtts queue_list = {} @bot.command() async def say(ctx, *, word): boolean, voice = await idk(ctx) if boolean: tts = gtts.gTTS(word) tts.save("Voice_Files/TTS.wav") try: voice.play(discord.FFmpegPCMAudio("Voice_Files/TTS.wav")) #, after=lambda e: queue(ctx, queue_list, voice)) voice.source = discord.PCMVolumeTransformer(voice.source) except ClientException: queue_list[ctx.guild.id].append(word) print(queue_list) @say.error async def say_error(ctx, error): if isinstance(error, discord.HTTPException): await ctx.send("Something went wrong, try again later") elif isinstance(error, commands.MissingRequiredArgument): embed = discord.Embed( title="Say", description="To use the Say command just add the text", color=discord.Color.blue() ) embed.set_author(name=ctx.author, icon_url=ctx.author.avatar_url) embed.add_field(name="Usage", value="Say `message` ") await ctx.send(embed=embed) else: print(F"Say Error {error}")

33.205128

119

0.658687

167

1,295

5.035928

0.45509

0.042806

0.026159

0.03805

0

0.23166

1,295

39

120

33.205128

0.845226

0.037066

0

0.123496

0

1

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false

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0.2

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0.2

0.057143

0

null

0

null

0

1

0

7777e8520a12559d29d6241cbcb36e71e0940302

7,056

py

Python

simple_estimator.py

carlos9310/models

d5038337a42544b95d6bf97e40099ef140399b89

[ "Apache-2.0" ]

2

2020-09-14T02:15:17.000Z

2021-09-28T07:08:32.000Z

simple_estimator.py

carlos9310/models

d5038337a42544b95d6bf97e40099ef140399b89

[ "Apache-2.0" ]

null

simple_estimator.py

carlos9310/models

d5038337a42544b95d6bf97e40099ef140399b89

[ "Apache-2.0" ]

1

2022-01-04T06:55:54.000Z

# -*- coding:utf-8 -*- from __future__ import absolute_import from __future__ import division from __future__ import print_function import sys import os import tensorflow as tf tf.logging.set_verbosity(tf.logging.INFO) ROOT_PATH = '/tmp/census_data' TRAIN_PATH = '/tmp/census_data/adult.data' EVAL_PATH = '/tmp/census_data/adult.test' PREDICT_PATH = '/content/models/official/r1/wide_deep/census_test.csv' MODEL_PATH = '/tmp/adult_model' EXPORT_PATH = '/tmp/adult_export_model' _CSV_COLUMNS = [ 'age', 'workclass', 'fnlwgt', 'education', 'education_num', 'marital_status', 'occupation', 'relationship', 'race', 'gender', 'capital_gain', 'capital_loss', 'hours_per_week', 'native_country', 'income_bracket' ] _CSV_COLUMN_DEFAULTS = [[0], [''], [0], [''], [0], [''], [''], [''], [''], [''], [0], [0], [0], [''], ['']] _HASH_BUCKET_SIZE = 1000 _NUM_EXAMPLES = { 'train': 32561, 'validation': 16281, } def build_model_columns(): """Builds a set of wide and deep feature columns.""" # Continuous variable columns age = tf.feature_column.numeric_column('age') education_num = tf.feature_column.numeric_column('education_num') capital_gain = tf.feature_column.numeric_column('capital_gain') capital_loss = tf.feature_column.numeric_column('capital_loss') hours_per_week = tf.feature_column.numeric_column('hours_per_week') education = tf.feature_column.categorical_column_with_vocabulary_list( 'education', [ 'Bachelors', 'HS-grad', '11th', 'Masters', '9th', 'Some-college', 'Assoc-acdm', 'Assoc-voc', '7th-8th', 'Doctorate', 'Prof-school', '5th-6th', '10th', '1st-4th', 'Preschool', '12th']) marital_status = tf.feature_column.categorical_column_with_vocabulary_list( 'marital_status', [ 'Married-civ-spouse', 'Divorced', 'Married-spouse-absent', 'Never-married', 'Separated', 'Married-AF-spouse', 'Widowed']) relationship = tf.feature_column.categorical_column_with_vocabulary_list( 'relationship', [ 'Husband', 'Not-in-family', 'Wife', 'Own-child', 'Unmarried', 'Other-relative']) workclass = tf.feature_column.categorical_column_with_vocabulary_list( 'workclass', [ 'Self-emp-not-inc', 'Private', 'State-gov', 'Federal-gov', 'Local-gov', '?', 'Self-emp-inc', 'Without-pay', 'Never-worked']) # To show an example of hashing: occupation = tf.feature_column.categorical_column_with_hash_bucket( 'occupation', hash_bucket_size=_HASH_BUCKET_SIZE) # Transformations. age_buckets = tf.feature_column.bucketized_column( age, boundaries=[18, 25, 30, 35, 40, 45, 50, 55, 60, 65]) # Wide columns and deep columns. base_columns = [ education, marital_status, relationship, workclass, occupation, age_buckets, ] crossed_columns = [ tf.feature_column.crossed_column( ['education', 'occupation'], hash_bucket_size=_HASH_BUCKET_SIZE), tf.feature_column.crossed_column( [age_buckets, 'education', 'occupation'], hash_bucket_size=_HASH_BUCKET_SIZE), ] wide_columns = base_columns + crossed_columns deep_columns = [ age, education_num, capital_gain, capital_loss, hours_per_week, tf.feature_column.indicator_column(workclass), tf.feature_column.indicator_column(education), tf.feature_column.indicator_column(marital_status), tf.feature_column.indicator_column(relationship), # To show an example of embedding tf.feature_column.embedding_column(occupation, dimension=8), ] return wide_columns, deep_columns def input_fn(data_path, shuffle, num_epochs, batch_size): """Generate an input function for the Estimator.""" def parse_csv(value): tf.logging.info('Parsing {}'.format(data_path)) columns = tf.decode_csv(value, record_defaults=_CSV_COLUMN_DEFAULTS) features = dict(zip(_CSV_COLUMNS, columns)) labels = features.pop('income_bracket') tf.logging.info(f'labels:{labels}') classes = tf.equal(labels, '>50K') # binary classification return features, classes # Extract lines from input files using the Dataset API. dataset = tf.data.TextLineDataset(data_path) if shuffle: dataset = dataset.shuffle(buffer_size=_NUM_EXAMPLES['train']) dataset = dataset.map(parse_csv, num_parallel_calls=5) # We call repeat after shuffling, rather than before, to prevent separate # epochs from blending together. dataset = dataset.repeat(num_epochs) dataset = dataset.batch(batch_size) return dataset # estimator.train()可以循环运行，模型的状态将持久保存在model_dir def run(): wide_columns, deep_columns = build_model_columns() # os.system('rm -rf {}'.format(MODEL_PATH)) config = tf.estimator.RunConfig(save_checkpoints_steps=100) estimator = tf.estimator.DNNLinearCombinedClassifier(model_dir=MODEL_PATH, linear_feature_columns=wide_columns, linear_optimizer=tf.train.FtrlOptimizer(learning_rate=0.01), dnn_feature_columns=deep_columns, dnn_hidden_units=[256, 64, 32, 16], dnn_optimizer=tf.train.AdamOptimizer(learning_rate=0.001), config=config) # Linear model. # estimator = tf.estimator.LinearClassifier(feature_columns=wide_columns, n_classes=2, # optimizer=tf.train.FtrlOptimizer(learning_rate=0.03)) # Train the model. estimator.train( input_fn=lambda: input_fn(data_path=TRAIN_PATH, shuffle=True, num_epochs=40, batch_size=100), steps=2000) """ steps: 最大训练次数，模型训练次数由训练样本数量、num_epochs、batch_size共同决定，通过steps可以提前停止训练 """ # Evaluate the model. eval_result = estimator.evaluate( input_fn=lambda: input_fn(data_path=EVAL_PATH, shuffle=False, num_epochs=1, batch_size=40)) print('Test set accuracy:', eval_result) # Predict. pred_dict = estimator.predict( input_fn=lambda: input_fn(data_path=PREDICT_PATH, shuffle=False, num_epochs=1, batch_size=40)) for pred_res in pred_dict: print(pred_res['probabilities'][1]) columns = wide_columns + deep_columns feature_spec = tf.feature_column.make_parse_example_spec(feature_columns=columns) serving_input_fn = tf.estimator.export.build_parsing_serving_input_receiver_fn(feature_spec) estimator.export_savedmodel(EXPORT_PATH, serving_input_fn) if __name__ == '__main__': run()

40.090909

118

0.639172

794

7,056

5.367758

0.338791

0.040122

0.06687

0.025809

0.266072

0.186298

0.163069

0.104176

0.017363

0

0.018438

0.24674

7,056

176

119

40.090909

0.783443

0.10771

0

0.016807

0

0.152771

0.025129

0

1

0.033613

false

0

0.05042

0

0.109244

0.02521

0

null

0

null

0

1

0

7777fe549507b7986267faec6ed4cc83a2313604

288

py

Python

Python/Mundo1/TratandoDados/ex008.py

ysabelah/Estudos

aa587f1981324640c93978b3b80fdf3abde10e80

[ "MIT" ]

null

Python/Mundo1/TratandoDados/ex008.py

ysabelah/Estudos

aa587f1981324640c93978b3b80fdf3abde10e80

[ "MIT" ]

null

Python/Mundo1/TratandoDados/ex008.py

ysabelah/Estudos

aa587f1981324640c93978b3b80fdf3abde10e80

[ "MIT" ]

null

#Escreva um programa que leia um valor em metros e o exiba convertido em centimetros e milimetros numero = float(input('Digite o número: ')) print('O valor de {} em centímetros é: {}'.format(numero, numero * 100)) print('O valor de {} em milímetros é: {}'.format(numero, numero * 1000))

48

97

0.711806

45

288

4.555556

0.6

0.058537

0.107317

0.126829

0.146341

0

0.028926

0.159722

288

6

98

48

0.818182

0.333333

0

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0

1

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false

0

0.666667

0

null

0

1

0

null

0

1

0

2

7778e854b1769ba9428d3a4d3170d1002d65dedd

2,385

py

Python

examples/run_multi_functions_parallel.py

rishavpramanik/mealpy

d4a4d5810f15837764e4ee61517350fef3dc92b3

[ "MIT" ]

null

examples/run_multi_functions_parallel.py

rishavpramanik/mealpy

d4a4d5810f15837764e4ee61517350fef3dc92b3

[ "MIT" ]

null

examples/run_multi_functions_parallel.py

rishavpramanik/mealpy

d4a4d5810f15837764e4ee61517350fef3dc92b3

[ "MIT" ]

null

#!/usr/bin/env python # Created by "Thieu" at 10:26, 02/03/2022 ----------% # Email: nguyenthieu2102@gmail.com % # Github: https://github.com/thieu1995 % # --------------------------------------------------% import concurrent.futures as parallel from functools import partial from opfunu.cec_basic import cec2014_nobias from pandas import DataFrame from mealpy.evolutionary_based.DE import BaseDE from os import getcwd, path, makedirs PATH_RESULTS = "history/results/" check_dir = f"{getcwd()}/{PATH_RESULTS}" if not path.exists(check_dir): makedirs(check_dir) model_name = "DE" n_dims = 30 func_names = ["F1", "F2", "F3", "F4", "F5", "F6", "F7", "F8", "F9", "F10", "F11", "F12", "F13", "F14", "F15", "F16", "F17", "F18", "F19"] def find_minimum(function_name, n_dims): print(f"Start running: {function_name}") problem = { "fit_func": getattr(cec2014_nobias, function_name), "lb": [-100, ] * n_dims, "ub": [100, ] * n_dims, "minmax": "min", "verbose": True, } model = BaseDE(problem, epoch=10, pop_size=50, wf=0.8, cr=0.9, name=model_name, fit_name=function_name) _, best_fitness = model.solve() print(f"Finish function: {function_name}") return { "func_name": function_name, "best_fit": [best_fitness], "error": model.history.list_global_best_fit } if __name__ == '__main__': ## Run model best_fit_full = {} best_fit_columns = [] error_full = {} error_columns = [] with parallel.ProcessPoolExecutor() as executor: results = executor.map(partial(find_minimum, n_dims=n_dims), func_names) for result in results: error_full[result["func_name"]] = result["error"] error_columns.append(result["func_name"]) best_fit_full[result["func_name"]] = result["best_fit"] best_fit_columns.append(result["func_name"]) df_err = DataFrame(error_full, columns=error_columns) df_err.to_csv(f"{PATH_RESULTS}{n_dims}D_{model_name}_error.csv", header=True, index=False) df_fit = DataFrame(best_fit_full, columns=best_fit_columns) df_fit.to_csv(f"{PATH_RESULTS}{n_dims}D_{model_name}_best_fit.csv", header=True, index=False)

36.692308

137

0.6

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4.468439

0.438538

0.052045

0.041636

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0.047584

0

0.040243

0.239413

2,385

64

138

37.265625

0.701213

0.165199

0

0.178931

0.060484

0

1

0.021739

false

0

0.130435

0

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0.043478

0

null

0

null

0

1

0

77798b6704167fd268a08dbc9c3f502cb2811a76

9,876

py

Python

table_sorter.py

manawesome326/table-sorter

53c6b0cdcf6b70216e1bf0a69bdd6b193cf64604

[ "Unlicense" ]

null

table_sorter.py

manawesome326/table-sorter

53c6b0cdcf6b70216e1bf0a69bdd6b193cf64604

[ "Unlicense" ]

null

table_sorter.py

manawesome326/table-sorter

53c6b0cdcf6b70216e1bf0a69bdd6b193cf64604

[ "Unlicense" ]

null

import random import math import time import copy allstudents = [] class Student: def __init__(self,name,friends,robot=False): self.name = name self.__name__ = name self.robot = robot #self.friends = friends self.friends = friends self.currenttable = 0 allstudents.append(self) ################################################################ #ignore anything above this line #example students #add new ones by pasting more below here with this exact syntax #make sure to get the names right! #the first name is the person's name. The stuff in the curly brackets is the other people, #and how much this person wants to be in a group with them. #For example here greg has given jordan a rating of -1, and alexandria a rating of -0.99 #I might be able to help you convert other formats into this if you need it. I admit it's not the most convenient. Student("greg",{"jordan":-1,"alexandria":-0.99}) Student("jordan",{"greg":1,"alexandria":100}) Student("alexandria",{"greg":0.2,"jordan":1}) #and so on #students are allowed to set a preference for themselves, but this has no effect. #Students do not need to give a preference to every user - unknowns default to... value_of_unknown_people = 0 #If you want people to meet new people, set this higher! Lower if being friends is useful. #This is a completely untested feature. 0 is probably a good value. Anything more than 20% of the range people are setting preferences in is probably very silly. #Preferences can be any number, including negatives and decimals. #Use of precise decimals prevents some minor weirdness that (might) worsen your results #So ask your respondents to be as precise as they like in their rankings! #Failing that, set the below value to True to run some code to jitter the values a little... jitter = False #Negative numbers are treated differently by the code - ask people to only use them on people they really do not want to share a group with! #student generator #used to generate people ("robots") at random #I use this for testing, but I don't think you'll need it? Best just leave it on 0. robots_to_add = 0 total_tables =20 #set to the number of tables, of course t_pop = 5 #and how many people go on each table #note: the program will crash if there isn't enough room on the tables! #However, it is fine to have too many tables for the person count! goes = 10 #Adjust this value upwards if the program finishes too fast! #A good 5 minute run will help find the best groups, especially if there's a lot of people. #On the other hand, if it seems to be taking a very long time, lower the value and accept that things won't quite be perfect. #No matter how many attempts you take and thus what result you get, it'll be very unlikely that any singular swap of people will improve the rating of it. #no more config options are below this line. ################################################################# for i in range(robots_to_add): Student("robot " + str(i),{},True) tables = [] for i in range(total_tables): tables.append([].copy()) count = 0 ghostly_hatred = {} for thing in allstudents: if thing.robot: for i in range(10): this = random.choice(allstudents) thing.friends[this] = random.randint(-10,10) print(thing.name + " thinks " + this.name + " is worth " + str(thing.friends[this])) #only used for the robot people else: tempdict = {} for key in thing.friends.keys(): tempdict[[x for x in allstudents if x.name == key][0]] = thing.friends[key] print(thing.name + " thinks " + [x for x in allstudents if x.name == key][0].name + " is worth " + str(tempdict[[x for x in allstudents if x.name == key][0]])) thing.friends = tempdict tables[math.floor(count/t_pop)].append(thing) thing.currenttable = math.floor(count/t_pop) count += 1 ghostly_hatred[thing] = -0.1 #everybody slightly dislikes ghosts. Actually, I don't know what this does, I wrote this code ages ago. for table in tables: while len(table) < t_pop: table.append(Student("a ghost!",ghostly_hatred)) #ghosts are added to tables that aren't full. #I didn't consider having one big group instead of one small one, #so if you need that, probably just have your extra people pick new groups on their own for table in tables: print("Table " + str(tables.index(table)) + ": ") for person in table: print(person.name) #this section does something which probably leads to better results: #if person A gives person B a positive rating, but person B gives person A a negative rating, #Person A's rating of person B is set to half of person B's rating of person A. #The effect of this is that a malicious person who wishes to be on the same table as somebody who wants to avoid them #is less likely to succeed in this. But they won't be separated as strongly as two people who *both* hate eachother! for student in allstudents: for friend in student.friends.keys(): try: if (student.friends[friend] < 0) and (friend.friends[student] >= 0): friend.friends[student] = student.friends[friend]/2 print(friend.name + " has decided " + student.name + " is actually only worth " + str(friend.friends[student])) except KeyError: friend.friends[student] = student.friends[friend]/2 print(friend.name + " has never heard of " + student.name + ", but now dislikes them with a value of " + str(friend.friends[student])) if jitter: for student in allstudents: for friend in student.friends.keys(): student.friends[friend] = student.friends[friend] + random.uniform(0.00001,0.00002) def score_eval(tables): score = 0 for table in tables: tablescore = 0 for student in table: #print(student.name) for partner in table: try: score += student.friends[partner] tablescore += student.friends[partner] except KeyError: score += value_of_unknown_people tablescore += value_of_unknown_people return score print("Basic happiness: " + str(score_eval(tables))) initial_tables = copy.deepcopy(tables) def test(no_leeching, randomer): world_record = score_eval(initial_tables) give_up = 0 record_breaks = 0 maximum_swaps = int(t_pop*t_pop*(math.factorial(total_tables)/(math.factorial(total_tables-2)*2))) print("maximum should be " +str(maximum_swaps)) maximum_boredom = maximum_swaps*2 for i in range(goes): print("starting attempt " + str(i)) tables = copy.deepcopy(initial_tables) give_up = 0 #randoming if randomer: for i in range(maximum_swaps*4): swap_table_1 = random.choice(tables) swap_table_2 = random.choice(tables) while swap_table_2 == swap_table_1: swap_table_2 = random.choice(tables) swap_student_1 = random.randint(0,len(swap_table_1)-1) swap_student_2 = random.randint(0,len(swap_table_2)-1) swap_table_1[swap_student_1], swap_table_2[swap_student_2] = swap_table_2[swap_student_2], swap_table_1[swap_student_1] print("starting happiness: " + str(score_eval(tables))) boredom = 0 attempts = [] while True: while True: swap_table_1 = random.choice(tables) swap_table_2 = random.choice(tables) while swap_table_2 == swap_table_1: swap_table_2 = random.choice(tables) swap_student_1 = random.randint(0,len(swap_table_1)-1) swap_student_2 = random.randint(0,len(swap_table_2)-1) if not (swap_table_1[swap_student_1].name + swap_table_2[swap_student_2].name in attempts): break current_score = score_eval(tables) if no_leeching: current_s_1 = score_eval([swap_table_1]) current_s_2 = score_eval([swap_table_2]) swap_table_1[swap_student_1], swap_table_2[swap_student_2] = swap_table_2[swap_student_2], swap_table_1[swap_student_1] new_score = score_eval(tables) if no_leeching: new_s_1 = score_eval([swap_table_1]) new_s_2 = score_eval([swap_table_2]) if (new_score < current_score) or (no_leeching and ((new_s_1 < current_s_1) or (new_s_2 < current_s_2))): attempts.append(swap_table_1[swap_student_1].name + swap_table_2[swap_student_2].name) swap_table_1[swap_student_1], swap_table_2[swap_student_2] = swap_table_2[swap_student_2], swap_table_1[swap_student_1] #SEND EM BACK #print(current_score) give_up += 1 else: give_up = 0 #attempts = [] #print("swap!" + str(random.random())) #print(maximum_boredom-boredom) if new_score == current_score: #boredom += 1 #if boredom > maximum_boredom: # print("What!") # break pass else: boredom = 0 attempts = [] if len(attempts) > 999999: print(len(attempts)) if len(attempts) >= maximum_swaps: break if current_score > world_record: world_record = current_score record_breaks += 1 print("Record broken!") #time.sleep(0.5) elif current_score == world_record: print("Record found again!") else: print("no record broken!") #time.sleep(0.5) print(current_score) print("Total happiness: " + str(world_record)) print("Average happiness: " + str(world_record/len(allstudents))) for table in tables: print("Group " + str(tables.index(table)) + ": ") print("Happiness: " + str(score_eval([table]))) if score_eval([table]) < 0: print("This group has a negative score! They probably won't have a lot of fun. You probably shouldn't be seeing this; maybe try running the program again?") for person in table: print(person.name) print("Results for no leeching:") test(True, True) print("Results for yes leeching") test(False, True) #In "no leeching" trials, a swap that improves the rating of one table at the expense of another is not allowed. #I'm unsure as to whether this actually improves the results you get. Thus why the program gives you results both without and with it. print("Type \"yes\" and hit enter to leave this program. This will likely vanish your results, so copy them somewhere first! ") while True: if input("> ")[0] == 'y': break

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null

0

null

0

1

0

777b5e5839004ea6dfd6b25eec2bff8b3f5e00ac

1,045

py

Python

unit_test/test_obj_avoidance.py

riven314/capstone_dash_interface

5eab25f4c15ad09aa889554820231175b0a3ed28

[ "CC0-1.0" ]

1

2019-12-10T14:59:12.000Z

unit_test/test_obj_avoidance.py

riven314/capstone_dash_interface

5eab25f4c15ad09aa889554820231175b0a3ed28

[ "CC0-1.0" ]

null

unit_test/test_obj_avoidance.py

riven314/capstone_dash_interface

5eab25f4c15ad09aa889554820231175b0a3ed28

[ "CC0-1.0" ]

1

2020-01-01T12:24:51.000Z

import os import sys import time PATH = os.path.join(os.getcwd(), '..') sys.path.append(PATH) import cv2 import numpy as np import matplotlib.pyplot as plt from obj_avoidance import run_avoidance # for the reference label_dict = {1: 'wall', 2: 'floor', 3: 'plant', 4: 'ceiling', 5: 'furniture', 6: 'person', 7: 'door', 8: 'objects'} # read in image D1_IMG_PATH = os.path.join(os.getcwd(), '..', 'test_cases', 'test_obj_avoid_resize_d1.png') SEG_IDX_PATH = os.path.join(os.getcwd(), '..', 'test_cases', 'test_obj_avoid_pred_idx.png') d1_img = cv2.imread(D1_IMG_PATH, cv2.IMREAD_GRAYSCALE) seg_idx = cv2.imread(SEG_IDX_PATH, cv2.IMREAD_GRAYSCALE) for i in range(5): start = time.time() obj_tup, obj_img = run_avoidance(d1_img, seg_idx, depth_threshold = 8, visible_width = 90) end = time.time() print('obj_tup = {}'.format(obj_tup)) print('runtime: {}'.format(end - start)) rgb_img = cv2.cvtColor(obj_img, cv2.COLOR_GRAY2RGB) plt.imshow(obj_img) plt.show() plt.imshow(rgb_img) plt.show()

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null

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null

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1

0

777c099bcd6dbabf7bd899cf4da7520acddaee95

1,060

py

Python

tests/core/test_security.py

congdh/fastapi-async-realworld

608dc6f090f8a02e0a880cef33dca90df78cbfb5

[ "MIT" ]

null

tests/core/test_security.py

congdh/fastapi-async-realworld

608dc6f090f8a02e0a880cef33dca90df78cbfb5

[ "MIT" ]

null

tests/core/test_security.py

congdh/fastapi-async-realworld

608dc6f090f8a02e0a880cef33dca90df78cbfb5

[ "MIT" ]

3

2020-10-04T09:37:21.000Z

2022-02-13T08:57:35.000Z

from datetime import timedelta import pytest from fastapi import HTTPException from pydantic import SecretStr from app.core.security import ( create_access_token, get_password_hash, get_user_id_from_token, verify_password, ) pytestmark = pytest.mark.asyncio async def test_access_token(): user_id = 1 token = create_access_token(user_id) actual = get_user_id_from_token(token) assert int(actual) == user_id token = create_access_token(user_id, timedelta(minutes=1234)) actual = get_user_id_from_token(token) assert int(actual) == user_id def test_get_user_id_from_wrong_token(): token = "wrong-token" with pytest.raises(HTTPException): get_user_id_from_token(token) def test_verify_password(): plain = "abcxyz" assert verify_password( plain_password=SecretStr(plain), hashed_password=get_password_hash(SecretStr(plain)), ) def test_verify_password_str(): with pytest.raises(AttributeError, match=r"get_secret_value"): verify_password("abc", "abc")

23.555556

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0.737736

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1,060

5.147887

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0.082079

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1,060

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0.25

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null

0

null

0

1

0

1

777c87854da8e0921a6611366e0397f0b9cee628

5,199

py

Python

rmexp/schedule.py

junjuew/scalable-edge-native-applications

1ace9ce71bef267880049633160e7cb74c57bddb

[ "Apache-2.0" ]

1

2021-05-12T12:49:15.000Z

rmexp/schedule.py

junjuew/scalable-edge-native-applications

1ace9ce71bef267880049633160e7cb74c57bddb

[ "Apache-2.0" ]

null

rmexp/schedule.py

junjuew/scalable-edge-native-applications

1ace9ce71bef267880049633160e7cb74c57bddb

[ "Apache-2.0" ]

1

2021-11-21T08:12:19.000Z

from __future__ import absolute_import, division, print_function import logging import select import subprocess import fire import logzero import numpy as np from logzero import logger import itertools import scipy import scipy.optimize import cPickle as pickle logzero.loglevel(logging.DEBUG) def group(lst, n): """group([0,3,4,10,2,3], 2) => iterator Group an iterable into an n-tuples iterable. Incomplete tuples are discarded e.g. >>> list(group(range(10), 3)) [(0, 1, 2), (3, 4, 5), (6, 7, 8)] """ return itertools.izip(*[itertools.islice(lst, i, None, n) for i in range(n)]) class ScipySolver(object): def __init__(self, fair=False, brute_force=False): super(ScipySolver, self).__init__() self.fair = fair self.brute_force = brute_force def solve(self, cpu, mem, apps, max_clients): x0 = zip(*[app.x0 for app in apps]) util_funcs = [app.util_func for app in apps] def _get_app_util((util_func, cpu, mem, k)): # print(util_func, cpu, mem, k) return k * util_func(cpu, mem) def total_util_func(x): assert(len(x) % 3 == 0) cpus = x[:len(apps)] mems = x[len(apps): 2*len(apps)] ks_raw = x[2*len(apps):] ks = np.floor(ks_raw) utils = map(_get_app_util, zip(util_funcs, cpus, mems, ks)) if self.fair: # max min util_total = np.min(utils) else: # total util util_total = sum(utils) logger.debug("total: {}, utils: {}, x: {}".format( np.around(util_total, 1), np.around(utils, 1), np.around(x, 1))) return -util_total def cpu_con(x): cpus = x[:len(apps)] return cpu - np.sum(cpus) def mem_con(x): mems = x[len(apps): 2*len(apps)] return mem - np.sum(mems) def kworker_con(x): cpus = x[:len(apps)] mems = x[len(apps): 2*len(apps)] ks = np.floor(x[2*len(apps):]) latency_funcs = [app.latency_func for app in apps] latencies = np.array(map(lambda arg: arg[0]( arg[1], arg[2]), zip(latency_funcs, cpus, mems))) return np.array(max_clients) * 30. - ks * 1000. / latencies # feasible region bounds = [(0.01, cpu) for _ in apps] + [(0.01, mem) for _ in apps] + list(zip([0]*len(apps), max_clients)) if self.brute_force: rranges = [] for item in bounds: rranges.append(slice(item[0], item[1], 0.5)) logger.debug(rranges) res = scipy.optimize.brute( total_util_func, rranges, full_output=True, finish=None) return res else: # constraints total resource cons = [ {'type': 'eq', 'fun': cpu_con}, {'type': 'eq', 'fun': mem_con}, {'type': 'ineq', 'fun': kworker_con}, # ks should be larger or equal than 0 {'type': 'ineq', 'fun': lambda x: x[2*len(apps):]}, ] res = scipy.optimize.minimize( total_util_func, (np.array(x0[0]), np.array(x0[1]), np.array([0.] * len(max_clients))), constraints=cons, bounds=bounds, tol=1e-6) return res.success, -res.fun, np.around(res.x, decimals=1) class Allocator(object): """Allocate CPU, Memory to applications.""" def __init__(self, solver): self.solver = solver super(Allocator, self).__init__() def solve(self, cpu, mem, apps, *args, **kwargs): return self.solver.solve(cpu, mem, apps, *args, **kwargs) class AppUtil(object): def __init__(self, app, exp='c001-cg-wall-w1'): super(AppUtil, self).__init__() self.app = app self.exp = exp self.util_func = self._load_util_func() self.latency_func = self._load_latency_func() self.x0 = (1, 2) def _load_util_func(self): path = '/home/junjuew/work/resource-management/data/profile/{}-{}.pkl'.format( self.exp, self.app) logger.debug("Using profile {}".format(path)) with open(path, 'rb') as f: util_func = pickle.load(f) return util_func def _load_latency_func(self): """Latencies are in ms""" path = '/home/junjuew/work/resource-management/data/profile/latency-{}-{}.pkl'.format( self.exp, self.app) logger.debug("Using profile {}".format(path)) with open(path, 'rb') as f: util_func = pickle.load(f) return util_func if __name__ == '__main__': # pingpong is a dominate when cpu=1 and mem=2 # dominance: pingpong >> lego >> allocator = Allocator(ScipySolver(fair=False, brute_force=False)) # for cpu in range(1, 6): # cpu = 1 cpu = 2 mem = 4 max_clients = [2.5, 3.5, 1.5, 1.5] app_names = ['lego', 'pingpong', 'pool', 'face'] apps = map(AppUtil, app_names) logger.info(allocator.solve(cpu, mem, apps, max_clients=max_clients))

32.698113

146

0.553568

694

5,199

3.994236

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0.040404

0.017316

0.012987

0.235931

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0.142857

0.135642

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0

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5,199

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null

0.009009

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null

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null

0

1

0

1

777d83516dc3cad54a0ce07bf96a195097e68974

1,519

py

Python

demoapp/cabinet_structure/settings.py

pythoninner/myfistpython

c1f52d8a3a284a89c0f1e33615067e8845aa1617

[ "MIT" ]

17

2015-12-10T02:09:07.000Z

2018-06-25T06:46:59.000Z

demoapp/cabinet_structure/settings.py

pythoninner/myfistpython

c1f52d8a3a284a89c0f1e33615067e8845aa1617

[ "MIT" ]

6

2015-12-09T08:09:52.000Z

2016-01-11T06:53:10.000Z

demoapp/cabinet_structure/settings.py

pythoninner/myfistpython

c1f52d8a3a284a89c0f1e33615067e8845aa1617

[ "MIT" ]

9

2015-12-10T09:04:00.000Z

2019-07-12T13:33:25.000Z

import logging from django.conf import settings logger = logging.getLogger(__name__) class VerifySettings(object): __settings_name__ = 'MAX_CABINET_ROWS_NUM' __error_msg_dict__ = {'no_attribute': ("MAX_CABINET_ROWS_NUM must be specified in " "your Django settings file"), 'no_int': ("MAX_CABINET_ROWS_NUM " "must be specified integer"), 'min_cells': ("cabinet_cells " "is bigger than MAX_CABINET_ROWS_NUM")} def __init__(self, cabinet_cells): self.cabinet_cells = cabinet_cells @property def settings_max_cabinet_num(self): return getattr( settings, self.__settings_name__, 6 ) def verify_cabinet_num_type(self): if not isinstance(self.settings_max_cabinet_num, int): log_msg = self.__error_msg_dict__['no_int'] logger.info(log_msg) raise TypeError(log_msg) else: return self.settings_max_cabinet_num def verify_cabinet_cells_gt_max_cabinet_num(self): if self.cabinet_cells < self.settings_max_cabinet_num: raise TypeError(self.__error_msg_dict__['min_cells']) return self.verify_cabinet_num_type() class SettingsConfig(VerifySettings): def verify(self): max_rows_num = super(SettingsConfig, self).verify_cabinet_cells_gt_max_cabinet_num() return max_rows_num

33.755556

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0.631995

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0.078613

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0.296248

1,519

44

93

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0.030303

0.454545

0

null

0

null

0

1

0

777dd8bf196474b662d087b28f11dea01ef85e30

756

py

Python

l_04_list_and_dictionaries/dictionaries/ex_08_filter_base.py

VasAtanasov/SoftUni-Python-Fundamentals

471d0537dd6e5c8b61ede92b7673c0d67e2964fd

[ "MIT" ]

1

2019-06-05T11:16:08.000Z

l_04_list_and_dictionaries/dictionaries/ex_08_filter_base.py

VasAtanasov/SoftUni-Python-Fundamentals

471d0537dd6e5c8b61ede92b7673c0d67e2964fd

[ "MIT" ]

null

l_04_list_and_dictionaries/dictionaries/ex_08_filter_base.py

VasAtanasov/SoftUni-Python-Fundamentals

471d0537dd6e5c8b61ede92b7673c0d67e2964fd

[ "MIT" ]

null

def check_type(text): try: if float(text) == int(float(text)): return {'Age': int(float(text))} elif float(text) != int(float(text)): return {'Salary': float(text)} except ValueError: return {'Position': text} employees_data = [] while True: in_line = input() if 'filter base' == in_line: break [name, value] = filter(None, in_line.split(" -> ")) employees_data.append({name: check_type(value)}) criteria = input() separator = '=' * 20 result = '' for entry in range(len(employees_data)): for name, data in employees_data[entry].items(): if criteria in data: result += f'Name: {name}\n{criteria}: {data[criteria]}\n{separator}\n' print(result)

23.625

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95

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4.6

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0.12357

0.08238

0.077803

0.12357

0

0.003515

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756

31

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false

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0.173913

0.043478

0

null

0

null

0

1

0

777ef7869d9e99660684cbd42f3a06660212884f

905

py

Python

install_release.py

NunoEdgarGFlowHub/poptorch

2e69b81c7c94b522d9f57cc53d31be562f5e3749

[ "MIT" ]

null

install_release.py

NunoEdgarGFlowHub/poptorch

2e69b81c7c94b522d9f57cc53d31be562f5e3749

[ "MIT" ]

null

install_release.py

NunoEdgarGFlowHub/poptorch

2e69b81c7c94b522d9f57cc53d31be562f5e3749

[ "MIT" ]

null

# Copyright (c) 2018 Graphcore Ltd. All rights reserved. # This script is run by the release agent to create a release of PopTorch def install_release(release_utils, release_id, snapshot_id, version_str): # Tag must contain the string 'poptorch' to keep it unique. tag = "{}-poptorch".format(version_str) release_utils.log.info('Tagging poptorch release ' + tag) # Create the release on the document server. release_utils.create_document_release(snapshot_id) # Tag the view repository with the release. release_utils.tag_view_repo( 'ssh://git@phabricator.sourcevertex.net/diffusion/' \ + 'POPONNXVIEW/poponnxview.git', snapshot_id, release_id, tag) # Increment the point version number. release_utils.increment_version_point( 'ssh://git@phabricator.sourcevertex.net/diffusion/' \ + 'POPTORCH/poptorch.git')

34.807692

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905

5.4

0.486957

0.096618

0.061192

0.093398

0.132045

0

0.00554

0.20221

905

25

74

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0.854571

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0

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0

0.306914

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0

1

0.076923

false

0

0.076923

0

null

0

null

0

1

0

778181d3874c190067f24ee03aa82a2d0d031e77

1,667

py

Python

ciscosparkapi/tests/conftest.py

Futuramistic/Bot

e22672e9d627faf3d9393feb04d214cb62dec98d

[ "MIT" ]

null

ciscosparkapi/tests/conftest.py

Futuramistic/Bot

e22672e9d627faf3d9393feb04d214cb62dec98d

[ "MIT" ]

1

2021-06-01T21:52:12.000Z

ciscosparkapi/tests/conftest.py

Futuramistic/Bot

e22672e9d627faf3d9393feb04d214cb62dec98d

[ "MIT" ]

null

# -*- coding: utf-8 -*- """pytest configuration and top-level fixtures.""" __author__ = "Chris Lunsford" __author_email__ = "chrlunsf@cisco.com" __copyright__ = "Copyright (c) 2016-2018 Cisco and/or its affiliates." __license__ = "MIT" import os import string import tempfile import pytest from tests.utils import download_file pytest_plugins = [ 'tests.test_ciscosparkapi', 'tests.api.test_memberships', 'tests.api.test_messages', 'tests.api.test_people', 'tests.api.test_rooms', 'tests.api.test_teammemberships', 'tests.api.test_teams', 'tests.api.test_webhooks', 'tests.api.test_organizations', 'tests.api.test_licenses', 'tests.api.test_roles', ] TEST_DOMAIN = "cmlccie.com" TEST_FILE_URL = "https://developer.ciscospark.com/images/logo_spark_lg@256.png" email_template = string.Template("test${number}@" + TEST_DOMAIN) # Helper Functions def new_email_generator(): i = 50 while True: email_address = email_template.substitute(number=i) i += 1 yield email_address # pytest Fixtures @pytest.fixture("session") def temp_directory(): directory_abs_path = tempfile.mkdtemp() yield directory_abs_path os.rmdir(directory_abs_path) @pytest.fixture("session") def local_file(temp_directory): file = download_file(TEST_FILE_URL, temp_directory) yield file os.remove(file) @pytest.fixture(scope="session") def get_new_email_address(): generator = new_email_generator() def inner_function(): return next(generator) return inner_function

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77823bcef33f848f86c9133fcce12df4adef4d86

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py

Python

__init__.py

GRV96/hm_duration

89de54a114cab42862dbe6b6dd5b2180adf2ee0d

[ "MIT" ]

null

__init__.py

GRV96/hm_duration

89de54a114cab42862dbe6b6dd5b2180adf2ee0d

[ "MIT" ]

null

__init__.py

GRV96/hm_duration

89de54a114cab42862dbe6b6dd5b2180adf2ee0d

[ "MIT" ]

null

from .hm_duration import *

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778378ad2cae07b1eae7fe45253c50b387c8c03b

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py

Python

animations/color/list.py

LeLuxNet/GridPy

5f4d02d2b254be1f0682b724a96a99009a415308

[ "MIT" ]

null

animations/color/list.py

LeLuxNet/GridPy

5f4d02d2b254be1f0682b724a96a99009a415308

[ "MIT" ]

1

2020-05-09T15:48:41.000Z

2020-05-21T20:14:21.000Z

animations/color/list.py

LeLuxNet/GridPy

5f4d02d2b254be1f0682b724a96a99009a415308

[ "MIT" ]

null

from animations.color import base class ListGenerator(base.IndexColorGeneration): def __init__(self, colors): super().__init__(len(colors)) self.colors = colors def generate_index(self, index): return self.colors[index]

21.333333

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0

null

0

1

0

1

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4

77842d9f499b49e55088705f1121160416001ae6

1,550

py

Python

nalu.py

chauhanjatin10/NeuralArithmeticLogicUnits

c8a71e4bb99b7f5bdb5c1b85a75376b0322d6853

[ "MIT" ]

null

nalu.py

chauhanjatin10/NeuralArithmeticLogicUnits

c8a71e4bb99b7f5bdb5c1b85a75376b0322d6853

[ "MIT" ]

null

nalu.py

chauhanjatin10/NeuralArithmeticLogicUnits

c8a71e4bb99b7f5bdb5c1b85a75376b0322d6853

[ "MIT" ]

null

import math import torch import torch.nn as nn import torch.nn.functional as Func import torch.nn.init as init from nac import NeuralAccumulatorCell from torch.nn.parameter import Parameter class NeuralArithmeticLogicCell(nn.Module): def __init__(self, in_dim, out_dim): super().__init__() self.in_dim = in_dim self.out_dim = out_dim self.eps = 1e-8 self.W_hat = Parameter(torch.Tensor(out_dim, in_dim)) self.M_hat = Parameter(torch.Tensor(out_dim, in_dim)) self.nac = NeuralAccumulatorCell(in_dim, out_dim) self.G = Parameter(torch.Tensor(out_dim, in_dim)) self.register_parameter('bias', None) init.kaiming_uniform_(self.G, a=math.sqrt(5)) def forward(self, inputs): self.out_nac = self.nac(inputs) self.g = Func.sigmoid(Func.linear(inputs, self.G, self.bias)) self.add_part = self.out_nac * self.g self.log_part = torch.log(torch.abs(inputs) + self.eps) self.m_part = torch.exp(self.nac(self.log_part)) self.mul_part = (1-self.g)*self.m_part self.output = self.add_part + self.mul_part return self.output class NALU_mutiple_cells(nn.Module): def __init__(self, num_layers, in_dim, hidden_dim,out_dim): super().__init__() self.num_layers = num_layers self.in_dim = in_dim self.out_dim = out_dim self.hidden_dim = hidden_dim layers = [] for i in range(num_layers): layers.append(NeuralArithmeticLogicCell( hidden_dim if i>0 else in_dim, hidden_dim if i<num_layers-1 else out_dim)) self.model = nn.Sequential(*layers) def forward(self, inputs): return self.model(inputs)

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null

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null

0

1

0

7784ba485cef29826c9b6771e291504192862a3d

746

py

Python

servers/python/coweb/bot/__init__.py

opencoweb/coweb

7b3a87ee9eda735a859447d404ee16edde1c5671

[ "AFL-2.1" ]

83

2015-01-05T19:02:57.000Z

2021-11-19T02:48:09.000Z

servers/python/coweb/bot/__init__.py

xuelingxiao/coweb

7b3a87ee9eda735a859447d404ee16edde1c5671

[ "AFL-2.1" ]

3

2015-12-16T13:49:33.000Z

2019-06-17T13:38:50.000Z

servers/python/coweb/bot/__init__.py

xuelingxiao/coweb

7b3a87ee9eda735a859447d404ee16edde1c5671

[ "AFL-2.1" ]

14

2015-04-29T22:36:53.000Z

2021-11-18T03:24:29.000Z

''' Defines classes for coweb service bots. Copyright (c) The Dojo Foundation 2011. All Rights Reserved. Copyright (c) IBM Corporation 2008, 2011. All Rights Reserved. ''' # std lib import json import sys # coweb from .reqack import ReqAckDelegate def run(botClass): ''' Looks on the command line for information about the bot wrapper to create. ''' # decode json keyword arguments try: opts = json.loads(sys.argv[1]) except Exception: # no-op on any kind of error; creation of wrapper expected to happen # in some other way return # import wrapper to use based on managerId mod = __import__('coweb.bot.wrapper.%s' % opts['managerId'], fromlist=['']) mod.run(botClass, opts)

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1

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1

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2

778a30afec7647b6e7e9030506f3d19a33890f34

4,097

py

Python

bin/exps/batch_clone.py

akrishna1995/emuedge

d33845107be3c9bbfcaf030df0a989e9d4972743

[ "MIT" ]

8

2018-06-21T03:20:26.000Z

2021-10-15T03:53:49.000Z

bin/exps/batch_clone.py

akrishna1995/emuedge

d33845107be3c9bbfcaf030df0a989e9d4972743

[ "MIT" ]

12

2018-05-21T17:26:59.000Z

2018-06-14T02:48:21.000Z

bin/exps/batch_clone.py

akrishna1995/emuedge

d33845107be3c9bbfcaf030df0a989e9d4972743

[ "MIT" ]

3

2018-08-30T22:37:20.000Z

2019-03-31T18:29:52.000Z

import logging, sys, XenAPI, os, time sys.path.insert(0, '../../') def init_session(uname, pwd, local=True): # TODO: enable the init of a possibly remote session if local: session=XenAPI.xapi_local() session.xenapi.login_with_password(uname, pwd) else: log('currently not support remote connection') return session # ssid: snapshot id # number: how many instances to create def bat_clone(session, ss_ref, number): record=[] ref_lst=[] tot_start=time.time() for i in range(0, number): start=time.time() vref=session.xenapi.VM.clone(ss_ref, "test"+str(i)) session.xenapi.VM.provision(vref) stop=time.time() elapse=stop-start record.append(elapse) ref_lst.append(vref) tot_stop=time.time() tot_elapse=tot_stop-tot_start record.append("Total\t "+str(tot_elapse)) print "scale to "+str(number)+": "+"Total\t "+str(tot_elapse)+"s" write_1darr_file("bat_clone_res"+str(number)+".csv", record) bat_uninstall(session, ref_lst, number) def async_clone(session, ss_ref, number): ref_lst=[] task_lst=[] tot_start=time.time() for i in range(0, number): task=session.xenapi.Async.VM.clone(ss_ref, "test"+str(i)) task_lst.append(task) finished=[False]*number count=1 while count<=number: for i in range(0, len(task_lst)): if not finished[i]: task=task_lst[i] res=session.xenapi.task.get_result(task) #print progress if len(res)>0: finished[i]=True vref=session.xenapi.task.get_result(task)[7:-8] #print vref session.xenapi.VM.provision(vref) ref_lst.append(vref) count+=1 tot_stop=time.time() tot_elapse=tot_stop-tot_start #record.append("Total\t "+str(tot_elapse)) print "scale to "+str(number)+": "+"Total\t "+str(tot_elapse)+"s" #write_1darr_file("bat_clone_res"+str(number)+".csv", record) bat_uninstall(session, ref_lst, number) def async_clone_new(session, ss_ref, number): ref_lst=[] task_lst=[] tot_start=time.time() for i in range(0, number): task=session.xenapi.Async.VM.clone(ss_ref, "test"+str(i)) task_lst.append(task) finished=[False]*number count=1 while count<=number: for i in range(0, len(task_lst)): if not finished[i]: task=task_lst[i] res=session.xenapi.task.get_result(task) #print progress if len(res)>0: finished[i]=True vref=session.xenapi.task.get_result(task)[7:-8] #print vref session.xenapi.VM.provision(vref) ref_lst.append(vref) count+=1 tot_stop=time.time() tot_elapse=tot_stop-tot_start #record.append("Total\t "+str(tot_elapse)) print "scale to "+str(number)+": "+"Total\t "+str(tot_elapse)+"s" #write_1darr_file("bat_clone_res"+str(number)+".csv", record) bat_uninstall(session, ref_lst, number) def bat_uninstall(session, ss_ref_lst, number): record=[] tot_start=time.time() for ss_ref in ss_ref_lst: start=time.time() destroy_disk(session, ss_ref) session.xenapi.VM.destroy(ss_ref) stop=time.time() elapse=stop-start record.append(elapse) tot_stop=time.time() tot_elapse=tot_stop-tot_start record.append("Total\t "+str(tot_elapse)) write_1darr_file("bat_uninstall_result"+str(number)+".csv", record) def destroy_disk(session, vref): vbd_list=session.xenapi.VM.get_VBDs(vref) for vbd in vbd_list: vdi=session.xenapi.VBD.get_VDI(vbd) if vdi!='OpaqueRef:NULL': session.xenapi.VDI.destroy(vdi) else: session.xenapi.VBD.destroy(vbd) def write_2darr_file(fname, arr): if os.path.exists(fname): print fname+" already exists!" return file=open(fname, "w") for row in arr: for col in row: file.write(str(col)+"\t") file.write("\n") file.close() return def write_1darr_file(fname, arr): if os.path.exists(fname): print fname+" already exists!" return file=open(fname, "w") for row in arr: file.write(str(row)+"\n") file.close() return def main(): session=init_session("root", "789456123") # test the batch install ss_ref=session.xenapi.VM.get_by_uuid("32f4b1a2-cd4b-e8d5-1753-51e77205c27e") i=0 while i < 50: i+=10 print("scaling to "+str(i)+" devices") #async_clone(session, ss_ref, i) bat_clone(session, ss_ref, i) main()

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null

0

null

0

1

0

1

778afd4b3ea9feac924d9ce4230a66a795531f22

682

py

Python

backend_drf_views_example.py

sunilparajuli/DRF-Vue-numbering-Pagination-Snippet

5a6b3796656d74b65ad4b8e1d3144afe54dcb0f6

[ "Apache-2.0" ]

2

2021-06-02T16:29:16.000Z

2021-06-02T16:29:18.000Z

backend_drf_views_example.py

sunilparajuli/DRF-Vue-numbering-Pagination-Snippet

5a6b3796656d74b65ad4b8e1d3144afe54dcb0f6

[ "Apache-2.0" ]

null

backend_drf_views_example.py

sunilparajuli/DRF-Vue-numbering-Pagination-Snippet

5a6b3796656d74b65ad4b8e1d3144afe54dcb0f6

[ "Apache-2.0" ]

null

#example pagination parameter having total_pages from backend class PageNumberPaginationWithCount(pagination.PageNumberPagination): def get_paginated_response(self, data): response = super(PageNumberPaginationWithCount, self).get_paginated_response(data) response.data['total_pages'] = self.page.paginator.num_pages return response #example list api view class VisitAPIView(generics.ListAPIView): pagination_class = PageNumbePaginationWithCount serializer_class = VisitSerializer def get_queryset(self): return Visit.objects.all() #example url urlspattern = [ re_path(r'^api/v2/visits/', VisitAPIView.as_view(), name="visits_api"), ]

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0

null

0

null

0

1

0

1

778cfa1ba927b0196782d749a97b1b4c8af54073

5,170

py

Python

src/vivarium/examples/disease_model/population.py

ihmeuw/vivarium

77393d2e84ff2351c926f65b33272b7225cf9628

[ "BSD-3-Clause" ]

41

2017-07-14T03:39:06.000Z

2022-03-20T05:36:33.000Z

src/vivarium/examples/disease_model/population.py

ihmeuw/vivarium

77393d2e84ff2351c926f65b33272b7225cf9628

[ "BSD-3-Clause" ]

26

2017-08-08T22:13:44.000Z

2021-08-18T00:14:54.000Z

src/vivarium/examples/disease_model/population.py

ihmeuw/vivarium

77393d2e84ff2351c926f65b33272b7225cf9628

[ "BSD-3-Clause" ]

8

2017-08-03T17:15:39.000Z

2021-09-30T21:57:50.000Z

import pandas as pd from vivarium.framework.engine import Builder from vivarium.framework.population import SimulantData from vivarium.framework.event import Event class BasePopulation: """Generates a base population with a uniform distribution of age and sex. Attributes ---------- configuration_defaults : A set of default configuration values for this component. These can be overwritten in the simulation model specification or by providing override values when constructing an interactive simulation. """ configuration_defaults = { 'population': { # The range of ages to be generated in the initial population 'age_start': 0, 'age_end': 100, # Note: There is also a 'population_size' key. }, } def __init__(self): self.name = 'base_population' # noinspection PyAttributeOutsideInit def setup(self, builder: Builder): """Performs this component's simulation setup. The ``setup`` method is automatically called by the simulation framework. The framework passes in a ``builder`` object which provides access to a variety of framework subsystems and metadata. Parameters ---------- builder : Access to simulation tools and subsystems. """ self.config = builder.configuration self.with_common_random_numbers = bool(self.config.randomness.key_columns) self.register = builder.randomness.register_simulants if (self.with_common_random_numbers and not ['entrance_time', 'age'] == self.config.randomness.key_columns): raise ValueError("If running with CRN, you must specify ['entrance_time', 'age'] as" "the randomness key columns.") self.age_randomness = builder.randomness.get_stream('age_initialization', for_initialization=self.with_common_random_numbers) self.sex_randomness = builder.randomness.get_stream('sex_initialization') columns_created = ['age', 'sex', 'alive', 'entrance_time'] builder.population.initializes_simulants(self.on_initialize_simulants, creates_columns=columns_created) self.population_view = builder.population.get_view(columns_created) builder.event.register_listener('time_step', self.age_simulants) def on_initialize_simulants(self, pop_data: SimulantData): """Called by the simulation whenever new simulants are added. This component is responsible for creating and filling four columns in the population state table: 'age' : The age of the simulant in fractional years. 'sex' : The sex of the simulant. One of {'Male', 'Female'} 'alive' : Whether or not the simulant is alive. One of {'alive', 'dead'} 'entrance_time' : The time that the simulant entered the simulation. The 'birthday' for simulants that enter as newborns. A `pandas.Timestamp`. Parameters ---------- pop_data : A record containing the index of the new simulants, the start of the time step the simulants are added on, the width of the time step, and the age boundaries for the simulants to generate. """ age_start = self.config.population.age_start age_end = self.config.population.age_end if age_start == age_end: age_window = pop_data.creation_window / pd.Timedelta(days=365) else: age_window = age_end - age_start age_draw = self.age_randomness.get_draw(pop_data.index) age = age_start + age_draw * age_window if self.with_common_random_numbers: population = pd.DataFrame({'entrance_time': pop_data.creation_time, 'age': age.values}, index=pop_data.index) self.register(population) population['sex'] = self.sex_randomness.choice(pop_data.index, ['Male', 'Female']) population['alive'] = 'alive' else: population = pd.DataFrame( {'age': age.values, 'sex': self.sex_randomness.choice(pop_data.index, ['Male', 'Female']), 'alive': pd.Series('alive', index=pop_data.index), 'entrance_time': pop_data.creation_time}, index=pop_data.index) self.population_view.update(population) def age_simulants(self, event: Event): """Updates simulant age on every time step. Parameters ---------- event : An event object emitted by the simulation containing an index representing the simulants affected by the event and timing information. """ population = self.population_view.get(event.index, query="alive == 'alive'") population['age'] += event.step_size / pd.Timedelta(days=365) self.population_view.update(population)

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0.178571

0

null

0

null

0

1

0

778df52cd98d358aeeaa3cd2f864bdb6647f52ff

5,390

py

Python

python3/ssm/requester.py

renardbebe/ssm-rotation-sdk-python

cffe573f5462d0b93be9b5fb110970ade98f1642

[ "Apache-2.0" ]

null

python3/ssm/requester.py

renardbebe/ssm-rotation-sdk-python

cffe573f5462d0b93be9b5fb110970ade98f1642

[ "Apache-2.0" ]

null

python3/ssm/requester.py

renardbebe/ssm-rotation-sdk-python

cffe573f5462d0b93be9b5fb110970ade98f1642

[ "Apache-2.0" ]

1

2021-07-21T02:46:58.000Z

import logging from threading import Timer from tencentcloud.ssm.v20190923 import models, ssm_client from tencentcloud.common.profile import client_profile from tencentcloud.common import credential from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException class Error: """自定义错误类 """ def __init__(self, message=None): """ :param message: 错误信息 :type message: str """ if message is None: self.message = None else: self.message = message class LoopTimer(Timer): """定时器类 """ def __init__(self, interval, function, args, kwargs): Timer.__init__(self, interval, function, args, kwargs) def run(self): """每隔指定时间调用一次函数 """ while True: self.finished.wait(self.interval) if self.finished.is_set(): self.finished.set() break self.function(*self.args, **self.kwargs) class DbAccount: """DB 账号信息类 """ def __init__(self, params=None): """ :param user_name: 用户名 :type user_name: str :param password: 密码 :type password: str """ if params is None: self.user_name = None self.password = None else: self.user_name = params['user_name'] if 'user_name' in params else None self.password = params['password'] if 'password' in params else None class SsmAccount: """SSM 账号信息类 """ def __init__(self, params=None): """ :param secret_id: 密钥ID，用于标识调用者身份（类似用户名） :type secret_id: str :param secret_key: 密钥值，用于验证调用者身份（类似密码） :type secret_key: str :param url: SSM 服务地址 :type url: str :param region: 地域 :type region: str """ if params is None: self.secret_id = None # string `yaml:"secret_id"` self.secret_key = None # string `yaml:"secret_key"` self.url = None # string `yaml:"url"` self.region = None # string `yaml:"region"` else: self.secret_id = params['secret_id'] if 'secret_id' in params else None self.secret_key = params[ 'secret_key'] if 'secret_key' in params else None self.url = params['url'] if 'url' in params else None self.region = params['region'] if 'region' in params else None def __get_client(secret_id, secret_key, url, region): """创建 SSM 客户端实例 :param secret_key: 密钥ID :type secret_key: str :param url: SSM 服务地址 :type url: str :param region: 地域 :type region: str :rtype :client: SSM 客户端实例 :rtype :error: 异常报错信息 """ cred = credential.Credential(secret_id, secret_key) http_profile = client_profile.HttpProfile() http_profile.reqMethod = "POST" if url and len(url) != 0: http_profile.endpoint = url # 客户端配置 cpf = client_profile.ClientProfile() cpf.httpProfile = http_profile client, err = None, None try: # 创建 SSM 客户端对象 client = ssm_client.SsmClient(cred, region, cpf) except TencentCloudSDKException as e: err = Error(str(e.args[0])) return client, err def __get_current_product_secret_value(secret_name, ssm_acc): """获取当前云产品凭据内容 :param secret_name: 凭据名称 :type secret_name: str :param ssm_acc: SSM 账号信息 :type ssm_acc: SsmAccount class :rtype :str: 凭据内容 :rtype :error: 异常报错信息 """ print("get value for secret_name=%s" % secret_name) # print("get_client: ", ssm_acc.secret_id, ssm_acc.secret_key, ssm_acc.url, ssm_acc.region) client, err = __get_client(ssm_acc.secret_id, ssm_acc.secret_key, ssm_acc.url, ssm_acc.region) if err: logging.error("create ssm client error: ", err.message) return None, Error("create ssm HTTP client error: %s" % err.message) # 获取凭据内容 request = models.GetSecretValueRequest() request.SecretName = secret_name request.VersionId = "SSM_Current" # hard-code rsp = None try: rsp = client.GetSecretValue(request) except TencentCloudSDKException as e: err = Error(str(e.args[0])) print("ssm GetSecretValue error: " + err.message) if err: logging.error("ssm GetSecretValue error: " + err.message) return None, Error("ssm GetSecretValue error: " + err.message) return rsp.SecretString, None def get_current_account(secret_name, ssm_acc): """获取当前账号信息 :param secret_name: 凭据名称 :type secret_name: str :param ssm_acc: SSM 账号信息 :type ssm_acc: SsmAccount class :rtype :DbAccount: 账号信息 :rtype :error: 异常报错信息 """ # 获取 secret_name 对应的凭据内容 secret_value, err = __get_current_product_secret_value(secret_name, ssm_acc) if err: logging.error("failed to GetSecretValue, err=" + err.message) return None, err # secret_value 是 JSON格式的字符串，形如： {"UserName":"test_user","Password":"test_pwd"} print("secret value: ", secret_value) if len(secret_value) == 0: return None, Error("no valid account info found because secret value is empty") current_user_and_password = eval(secret_value) account = DbAccount(current_user_and_password["UserName"], current_user_and_password["Password"]) return account, None

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null

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0

778e86e22df74cae729a35ebbd9cf3422b98571c

5,159

py

Python

bdd100k/eval/lane_test.py

siyliepfl/bdd100k

f38e9b5cd4e21f7a47822734ffa4d397f64bf04a

[ "BSD-3-Clause" ]

null

bdd100k/eval/lane_test.py

siyliepfl/bdd100k

f38e9b5cd4e21f7a47822734ffa4d397f64bf04a

[ "BSD-3-Clause" ]

null

bdd100k/eval/lane_test.py

siyliepfl/bdd100k

f38e9b5cd4e21f7a47822734ffa4d397f64bf04a

[ "BSD-3-Clause" ]

null

"""Test cases for lane.py.""" import os import unittest from typing import Dict import numpy as np from .lane import ( eval_lane_per_threshold, evaluate_lane_marking, get_foreground, get_lane_class, sub_task_funcs, ) class TestGetLaneClass(unittest.TestCase): """Test cases for the lane specific channel extraction.""" def test_partialled_classes(self) -> None: """Check the function that partial get_lane_class.""" for num in range(255): byte = np.array(num, dtype=np.uint8) if num & 8: self.assertTrue(get_lane_class(byte, 1, 3, 1)) else: self.assertTrue(get_lane_class(byte, 0, 3, 1)) self.assertTrue(get_foreground(byte)) if num & (1 << 5): self.assertTrue(sub_task_funcs["direction"](byte, 1)) else: self.assertTrue(sub_task_funcs["direction"](byte, 0)) if num & (1 << 4): self.assertTrue(sub_task_funcs["style"](byte, 1)) else: self.assertTrue(sub_task_funcs["style"](byte, 0)) class TestEvalLanePerThreshold(unittest.TestCase): """Test cases for the per image per threshold lane marking evaluation.""" def test_two_parallel_lines(self) -> None: """Check the correctness of the function in general cases.""" a = np.zeros((10, 10), dtype=np.bool) b = np.zeros((10, 10), dtype=np.bool) a[3, 3:7] = True b[7, 3:7] = True for radius in [1, 2, 3]: self.assertAlmostEqual(eval_lane_per_threshold(a, b, radius), 0.0) for radius in [4, 5, 6]: self.assertAlmostEqual(eval_lane_per_threshold(a, b, radius), 1.0) def test_two_vertical_lines(self) -> None: """Check the correctness of the function in general cases.""" a = np.zeros((10, 10), dtype=np.bool) b = np.zeros((10, 10), dtype=np.bool) a[3, 3:6] = True b[5:8, 7] = True self.assertAlmostEqual(eval_lane_per_threshold(a, b, 2), 0.0) self.assertAlmostEqual(eval_lane_per_threshold(a, b, 3), 1 / 3) self.assertAlmostEqual(eval_lane_per_threshold(a, b, 4), 2 / 3) self.assertAlmostEqual(eval_lane_per_threshold(a, b, 5), 1.0) def test_two_vertical_border_lines(self) -> None: """Check the correctness of the function in general cases.""" a = np.zeros((10, 10), dtype=np.bool) b = np.zeros((10, 10), dtype=np.bool) a[1:6, 1:4] = True b[4:7, 3:8] = True self.assertAlmostEqual(eval_lane_per_threshold(a, b, 2), 0.0) self.assertAlmostEqual(eval_lane_per_threshold(a, b, 3), 0.4) self.assertAlmostEqual(eval_lane_per_threshold(a, b, 4), 0.70588235) self.assertAlmostEqual(eval_lane_per_threshold(a, b, 5), 1.0) class TestEvaluateLaneMarking(unittest.TestCase): """Test cases for the evaluate_lane_marking function.""" def test_mock_cases(self) -> None: """Check the peformance of the mock case.""" cur_dir = os.path.dirname(os.path.abspath(__file__)) gt_dir = "{}/testcases/lane/gts".format(cur_dir) res_dir = "{}/testcases/lane/res".format(cur_dir) f_scores = evaluate_lane_marking(gt_dir, res_dir, bound_ths=[1, 2]) gt_f_scores: Dict[str, float] = { "1.0_direction_parallel": 79.46877879291574, "2.0_direction_parallel": 87.61816039690531, "1.0_direction_vertical": 58.9375575858315, "2.0_direction_vertical": 75.23632079381062, "1.0_direction_avg": 100.0, "2.0_direction_avg": 100.0, "1.0_style_solid": 79.46877879291574, "2.0_style_solid": 87.61816039690531, "1.0_style_dashed": 58.9375575858315, "2.0_style_dashed": 75.23632079381062, "1.0_style_avg": 100.0, "2.0_style_avg": 100.0, "1.0_category_crosswalk": 88.24432582570225, "2.0_category_crosswalk": 93.82889258902341, "1.0_category_double_other": 99.01265721381078, "2.0_category_double_other": 100.0, "1.0_category_double_white": 100.0, "2.0_category_double_white": 100.0, "1.0_category_double_yellow": 100.0, "2.0_category_double_yellow": 100.0, "1.0_category_road_curb": 75.0, "2.0_category_road_curb": 75.16008049762166, "1.0_category_single_other": 59.173962031069706, "2.0_category_single_other": 75.48380881221992, "1.0_category_single_white": 100.0, "2.0_category_single_white": 100.0, "1.0_category_single_yellow": 89.27983318704442, "2.0_category_single_yellow": 99.98725140234575, "1.0_category_avg": 83.48815417369305, "2.0_category_avg": 100.0, "1.0_total_avg": 94.496051391231, "2.0_total_avg": 100.0, "average": 97.2480256956155, } for key, val in gt_f_scores.items(): self.assertAlmostEqual(val, f_scores[key]) if __name__ == "__main__": unittest.main()

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null

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null

0

1

0

778eae6f766166711785d06fe1c129980226b180

6,178

py

Python

draw.py

squeezeday/raspberry-pi-e-ink-display

97a16f7bd58ba6d6c800864c945a961870e823ed

[ "MIT" ]

5

2019-09-10T09:57:59.000Z

2021-08-17T18:10:21.000Z

draw.py

squeezeday/raspberry-pi-e-ink-display

97a16f7bd58ba6d6c800864c945a961870e823ed

[ "MIT" ]

5

2021-03-19T03:32:34.000Z

2022-03-11T23:58:49.000Z

draw.py

squeezeday/raspberry-pi-e-ink-display

97a16f7bd58ba6d6c800864c945a961870e823ed

[ "MIT" ]

null

from PIL import Image, ImageDraw, ImageFont from urllib.request import Request, urlopen from urllib.parse import quote, unquote import json import pytz import os from calendarhelper import getCaldavEvents, calendarEvent from datetime import datetime, date, timedelta, tzinfo, timezone from tzlocal import get_localzone from dotenv import load_dotenv load_dotenv() import locale locale.setlocale(locale.LC_ALL, os.getenv('LOCALE')) home_assistant_base_url = os.getenv('HOME_ASSISTANT_BASE_URL') home_assistant_access_token = os.getenv('HOME_ASSISTANT_ACCESS_TOKEN') caldav_url = os.getenv('CALDAV_URL') display_height = int(os.getenv('DISPLAY_WIDTH')) display_width = int(os.getenv('DISPLAY_HEIGHT')) localtimezone = get_localzone() # cheat sheet https://cdn.materialdesignicons.com/4.3.95/ weather_icons = { 'cloudy': '%EF%96%90', 'fog': '%EF%96%91', 'hail': '%EF%96%92', 'hurricane': '%EF%A2%97', 'lightning': '%EF%96%93', 'lightning-rainy': '%EF%99%BD', 'night': '%EF%96%94', 'partlycloudy': '%EF%96%95', 'pouring': '%EF%96%96', 'rainy': '%EF%96%97', 'snowy': '%EF%96%98', 'snowy-rainy': '%EF%99%BE', 'sunny': "%EF%96%99", 'sunset': '%EF%96%9A', 'sunset-down': '%EF%96%9B', 'sunset-up': '%EF%96%9C', 'windy': '%EF%96%9D', 'thermometer': '\uF50F', 'humidity': '\uF58E', 'sunset': '\uF59B', 'sunrise': '\uF59C' } def get_ha_sensor_state(state): try: req = Request(home_assistant_base_url + state) req.add_header('Authorization', 'Bearer ' + home_assistant_access_token) content = urlopen(req).read() sensor_data = json.loads(content.decode("utf-8")) return sensor_data except Exception as e: print("Error reading " + state + ": " + str(e)) return None def create_image(): # init black/white image black_image = Image.new('1', (display_width, display_height), 255) draw_black = ImageDraw.Draw(black_image) # init fonts fontForecastToday = ImageFont.truetype('materialdesignicons-webfont.ttf', 48) fontForecast = ImageFont.truetype('materialdesignicons-webfont.ttf', 32) fontThermometer = ImageFont.truetype('SourceSansPro-Bold.ttf', 36) fontSun = ImageFont.truetype('SourceSansPro-Bold.ttf', 24) fontEventToday = ImageFont.truetype('SourceSansPro-Regular.ttf', 26) fontEvent = ImageFont.truetype('SourceSansPro-Regular.ttf', 24) fontDateToday = ImageFont.truetype('SourceSansPro-Bold.ttf', 40) fontDate = ImageFont.truetype('SourceSansPro-Bold.ttf', 26) now = datetime.now().astimezone(localtimezone) # get weather forecast weather_data = get_ha_sensor_state('states/weather.smhi_home') # or states/weather.dark_sky # get sunrise/sunset sun_data = get_ha_sensor_state('states/sun.sun')['attributes'] # get sensor data outdoor_sensor = get_ha_sensor_state('states/sensor.outdoor_2') # get calendar events events = getCaldavEvents(caldav_url) # draw today msg = now.strftime('%A %-d/%-m') text_w, text_h = draw_black.textsize(msg, font = fontDateToday) draw_black.text((10, 10), msg, font = fontDateToday, fill = 0) # draw today's forecast if weather_data is not None: draw_black.text((245, 10), unquote(weather_icons[weather_data['attributes']['forecast'][0]['condition']]), font = fontForecastToday, fill = 0) draw_black.text((295, 10), str(weather_data['attributes']['forecast'][0]['temperature']) + ' °C' , font = fontThermometer, fill = 0) # draw current outdoor temp if outdoor_sensor is not None: str_current_outdoor_temp = str(outdoor_sensor["state"] + ' ' + outdoor_sensor['attributes']['unit_of_measurement']) text_w, text_h = draw_black.textsize(str_current_outdoor_temp, font = fontThermometer) current_outdoor_temp_y = display_height - 10 - text_h draw_black.text((35, current_outdoor_temp_y), str_current_outdoor_temp, font = fontThermometer, fill = 0) draw_black.text((0, current_outdoor_temp_y+10), unquote(weather_icons[outdoor_sensor['attributes']['icon'][4:]]), font = fontForecast, fill = 0) # draw sunrise/sunset hours if sun_data is not None: sunrise = pytz.utc.localize(datetime.strptime(sun_data['next_rising'][:-6], '%Y-%m-%dT%H:%M:%S')) sunset = pytz.utc.localize(datetime.strptime(sun_data['next_setting'][:-6], '%Y-%m-%dT%H:%M:%S')) draw_black.text((200, current_outdoor_temp_y+10), sunrise.astimezone(localtimezone).strftime("%H:%M",), font = fontSun, fill = 0) draw_black.text((170, current_outdoor_temp_y+10), unquote(weather_icons['sunrise']), font = fontForecast, fill = 0) draw_black.text((300, current_outdoor_temp_y+10), sunset.astimezone(localtimezone).strftime("%H:%M",), font = fontSun, fill = 0) draw_black.text((270, current_outdoor_temp_y+10), unquote(weather_icons['sunset']), font = fontForecast, fill = 0) max_y = display_height - 80 y = 30 date = now dateutc = datetime(now.year, now.month, now.day, 0,0,0,0, timezone.utc) # FIXME: make timezone naive for i in range(7): if y > max_y: break # draw day and forecast if i != 0: draw_black.text((10, y), date.strftime("%A %-d/%-m"), font = fontDate, fill = 0) if weather_data is not None: draw_black.text((280, y), unquote(weather_icons[weather_data['attributes']['forecast'][i]['condition']]), font = fontForecast, fill = 0) draw_black.text((320, y), str(weather_data['attributes']['forecast'][i]['temperature']) + ' °C' , font = fontSun, fill = 0) y+=30 # draw events for the day if events is not None: for ev in events: eventStart = ev.datetimestart eventEnd = ev.datetimeend if y > max_y: break if not ev.date == date.date() and not eventStart <= dateutc < eventEnd: continue if not ev.allday: row = "{} {}".format(eventStart.astimezone(localtimezone).strftime("%H:%M",), ev.summary) else: row = ev.summary if i == 0: font = fontEventToday else: font = fontEvent draw_black.text((10,y), row, font = font, fill = 0) y += 24 # increment y += 12 date = date + timedelta(days=1) dateutc = dateutc + timedelta(days=1) return black_image

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6,178

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false

0

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0.008197

0

null

0

null

0

1

0

778f222399a540e39a58b6e8b7d53a1fe0cdcdb2

139,019

py

Python

pysnmp-with-texts/ZXR10-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

8

2019-05-09T17:04:00.000Z

2021-06-09T06:50:51.000Z

pysnmp-with-texts/ZXR10-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

4

2019-05-31T16:42:59.000Z

2020-01-31T21:57:17.000Z

pysnmp-with-texts/ZXR10-MIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module ZXR10-MIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ZXR10-MIB # Produced by pysmi-0.3.4 at Wed May 1 15:48:21 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsUnion, SingleValueConstraint, ConstraintsIntersection, ValueRangeConstraint, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "SingleValueConstraint", "ConstraintsIntersection", "ValueRangeConstraint", "ValueSizeConstraint") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") mgmt, Bits, NotificationType, enterprises, iso, Counter32, Counter64, IpAddress, MibIdentifier, TimeTicks, Unsigned32, ObjectIdentity, NotificationType, Integer32, Gauge32, ModuleIdentity, MibScalar, MibTable, MibTableRow, MibTableColumn = mibBuilder.importSymbols("SNMPv2-SMI", "mgmt", "Bits", "NotificationType", "enterprises", "iso", "Counter32", "Counter64", "IpAddress", "MibIdentifier", "TimeTicks", "Unsigned32", "ObjectIdentity", "NotificationType", "Integer32", "Gauge32", "ModuleIdentity", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn") MacAddress, TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "MacAddress", "TextualConvention", "DisplayString") zte = MibIdentifier((1, 3, 6, 1, 4, 1, 3902)) zxr10 = MibIdentifier((1, 3, 6, 1, 4, 1, 3902, 3)) class DisplayString(OctetString): pass class AvailStatus(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1)) namedValues = NamedValues(("out", 0), ("in", 1)) class OperStatus(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1)) namedValues = NamedValues(("down", 0), ("up", 1)) class PortProperty(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 3, 4)) namedValues = NamedValues(("photo", 0), ("electricity", 1), ("phoelecmix", 3), ("console", 4)) class MasterStatus(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3)) namedValues = NamedValues(("master", 1), ("slave", 2), ("member", 3)) class UnitRunStatus(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1)) namedValues = NamedValues(("down", 0), ("up", 1)) class PidUsedStatus(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1)) namedValues = NamedValues(("reserved", 0), ("used", 1)) class BoolStatus(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 0)) namedValues = NamedValues(("true", 1), ("false", 0)) class ProductID(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 417, 418, 419, 420, 5000)) namedValues = NamedValues(("zxr10RouterT128", 1), ("zxr10RouterT64", 2), ("zxr10RouterT32", 3), ("zxr10Routergar-2608", 4), ("zxr10Routerger8", 5), ("zxr10Routergar-2604", 6), ("zxr10SwitchT160G", 7), ("zxr10Routergar-3608", 8), ("zxr10Routergar-7208", 9), ("zxr10SwitchT64G", 10), ("zxr10Switch3206", 11), ("zxr10Switch3906", 12), ("zxr10Switch3228", 13), ("zxr10Switch3928", 14), ("zxr10Switch3252", 15), ("zxr10Switch3952", 16), ("zxr10Switch5224", 17), ("zxr10Switch5228", 18), ("zxr10Switch5228F", 19), ("zxr10Switch5928", 20), ("zxr10Switch5928F", 21), ("zxr10Switch5252", 22), ("zxr10Switch5952", 23), ("zxr10Switch3226", 24), ("zxr10SwitchT40G", 25), ("zxr10RouterT1200", 26), ("zxr10RouterT600", 27), ("zxr10Routerger2", 28), ("zxr10Routerger4", 29), ("zxr10Switch3226FI", 30), ("zxr10Switch3928A", 31), ("zxr10Switch3928AFI", 32), ("zxr10Switch3952A", 33), ("zxr10Switch3228A-EI", 34), ("zxr10Switch3228A", 35), ("zxr10Switch3228A-FI", 36), ("zxr10Switch3252A", 37), ("zxr10Switch5228A", 38), ("zxr10Switch5252A", 39), ("zxr10Switch3928E", 40), ("zxr10Switch3928E-FI", 41), ("zxr10Switch3952E", 42), ("zxr10Switch5952E", 43), ("zxr10RouterR10-1822-AC", 100), ("zxr10RouterR10-1822-DC", 101), ("zxr10RouterR10-1821-AC", 102), ("zxr10RouterR10-1821-DC", 103), ("zxr10RouterR10-1812-AC", 104), ("zxr10RouterR10-1812-DC", 105), ("zxr10RouterR10-1811-AC", 106), ("zxr10RouterR10-1811-DC", 107), ("zxr10RouterR10-1822E-AC", 108), ("zxr10RouterR10-1822E-DC", 109), ("zxr10RouterR10-1821E-AC", 110), ("zxr10RouterR10-1821E-DC", 111), ("zxr10RouterR10-1812E-AC", 112), ("zxr10RouterR10-1812E-DC", 113), ("zxr10RouterR10-1811E-AC", 114), ("zxr10RouterR10-1811E-DC", 115), ("zxr10RouterR10-3881-AC", 132), ("zxr10RouterR10-3882-AC", 133), ("zxr10RouterR10-3883-AC", 134), ("zxr10RouterR10-3884-AC", 135), ("zxr10RouterR10-3881-DC", 136), ("zxr10RouterR10-3882-DC", 137), ("zxr10RouterR10-3883-DC", 138), ("zxr10RouterR10-3884-DC", 139), ("zxr10RouterR10-3841-AC", 140), ("zxr10RouterR10-3842-AC", 141), ("zxr10RouterR10-3843-AC", 142), ("zxr10RouterR10-3844-AC", 143), ("zxr10RouterR10-3841-DC", 144), ("zxr10RouterR10-3842-DC", 145), ("zxr10RouterR10-3843-DC", 146), ("zxr10RouterR10-3844-DC", 147), ("zxr10RouterR10-3821-AC", 148), ("zxr10RouterR10-3822-AC", 149), ("zxr10RouterR10-3823-AC", 150), ("zxr10RouterR10-3824-AC", 151), ("zxr10RouterR10-3821-DC", 152), ("zxr10RouterR10-3822-DC", 153), ("zxr10RouterR10-3823-DC", 154), ("zxr10RouterR10-3824-DC", 155), ("zxr10RouterR10-2841-AC", 172), ("zxr10RouterR10-2842-AC", 173), ("zxr10RouterR10-2843-AC", 174), ("zxr10RouterR10-2844-AC", 175), ("zxr10RouterR10-2841-DC", 176), ("zxr10RouterR10-2842-DC", 177), ("zxr10RouterR10-2843-DC", 178), ("zxr10RouterR10-2844-DC", 179), ("zxr10RouterR10-2881-AC", 180), ("zxr10RouterR10-2882-AC", 181), ("zxr10RouterR10-2883-AC", 182), ("zxr10RouterR10-2884-AC", 183), ("zxr10RouterR10-2881-DC", 184), ("zxr10RouterR10-2882-DC", 185), ("zxr10RouterR10-2883-DC", 186), ("zxr10RouterR10-2884-DC", 187), ("zxr10RouterR10-2821-AC", 188), ("zxr10RouterR10-2822-AC", 189), ("zxr10RouterR10-2823-AC", 190), ("zxr10RouterR10-2824-AC", 191), ("zxr10RouterR10-2821-DC", 192), ("zxr10RouterR10-2822-DC", 193), ("zxr10RouterR10-2823-DC", 194), ("zxr10RouterR10-2824-DC", 195), ("zxr10RouterR10-1841-AC", 196), ("zxr10RouterR10-1842-AC", 197), ("zxr10RouterR10-1843-AC", 198), ("zxr10RouterR10-1844-AC", 199), ("zxr10RouterR10-1841-DC", 200), ("zxr10RouterR10-1842-DC", 201), ("zxr10RouterR10-1843-DC", 202), ("zxr10RouterR10-1844-DC", 203), ("zxr10Switch-6907", 400), ("zxr10Switch-T240G", 401), ("zxr10Switch-6902", 402), ("zxr10Switch-6905", 403), ("zxr10Switch-6908", 404), ("zxr10Switch-8902", 405), ("zxr10Switch-8905", 406), ("zxr10Switch-8908", 407), ("zxr10Switch-8912", 408), ("zxctn-6100", 409), ("zxr10Switch5928-PS", 417), ("zxr10Switch3928A-PS", 418), ("zxr10Switch3928E", 419), ("zxr10Switch3928E-FI", 420), ("zxr10UAS10600", 5000)) class BoardType(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6)) namedValues = NamedValues(("upc-board", 1), ("sfc-board", 2), ("npc-board", 3), ("mec-board", 4), ("smp-board", 5), ("mcp-board", 6)) class NpcType(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 542, 543, 544, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033, 1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044, 1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055, 1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066, 1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077, 1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088, 1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099, 1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110, 1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121, 1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132, 1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143, 1144, 1145, 1146, 1147, 1149, 1150, 1151, 1152, 1153, 1154, 1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165, 1166, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1184, 1185, 1186, 1187, 1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198, 1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209, 1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1235, 1236, 1237, 1538, 1539, 1540, 1541, 1542, 1543, 1544, 1545, 1546, 1547, 1548, 1549, 1550, 1551, 1552, 1553, 1554, 2051, 2052, 2053, 2054, 2055, 2564, 2565, 2566), SingleValueConstraint(2567, 2568, 2569, 2570, 2571, 2572, 2573, 2574, 3077, 3078, 3079, 3080, 3081, 4103, 4104, 4609, 4610, 4611, 4616, 4617, 4865, 4866, 4867, 5129, 5130, 5131, 5132, 5133, 5134, 5135, 5136, 5137, 5138, 5139, 5642, 5643, 5644, 5645, 5646, 5647, 128, 129, 130, 131, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 5001, 5101, 5102, 5103, 5201, 5301, 5401)) namedValues = NamedValues(("card-fei-8", 512), ("card-fei-f", 513), ("card-fei-b", 514), ("card-fei-o", 515), ("card-fei-e", 516), ("card-fei-1", 517), ("card-fei-b2", 518), ("card-fei-b-es", 519), ("card-fei-48", 520), ("card-fei-o8", 521), ("card-fei-44-4-e", 522), ("card-fei-44-4-e-ez", 523), ("card-fei-24", 524), ("card-fei-16", 525), ("card-fei-2", 526), ("card-fei-4", 527), ("card-fei-o-16", 528), ("card-fei-44-4-fi", 529), ("card-fei-44-4-fi-ez", 530), ("card-mfe-2", 531), ("card-fei-24e", 532), ("card-fei-24eo", 533), ("card-mefes", 534), ("card-mfef", 535), ("card-msgfs", 536), ("card-megfs", 537), ("card-msfes", 538), ("card-mfef-2", 539), ("card-fei-24-2-fi", 542), ("card-fei-o24-2-fi", 543), ("card-fei-48-4-fi", 544), ("card-gei-8", 1025), ("card-gei-l", 1026), ("card-gei-g-1", 1027), ("card-gei-g-2", 1028), ("card-gei-2", 1029), ("card-gei-o", 1030), ("card-gei-o-g", 1031), ("card-gei-e", 1032), ("card-gei-g-2-es", 1033), ("card-gei-12", 1034), ("card-gei-x", 1035), ("card-gei-h4", 1036), ("card-gei-h2", 1037), ("card-gei-24", 1038), ("card-gei-12-4e", 1039), ("card-gei-24-4e", 1040), ("card-gei-x-2", 1041), ("card-gei-x-1-ez", 1042), ("card-gei-x-ez", 1043), ("card-gei-12-4e-ez", 1044), ("card-gei-t2", 1045), ("card-gei-4-12e", 1046), ("card-gei-4-24e", 1047), ("card-gei-4-12e-ez", 1048), ("card-10gei-1", 1049), ("card-gei-1", 1050), ("card-gei-4o-24e-l", 1051), ("card-gei-24o-4e", 1052), ("card-gei-x-1o-w", 1053), ("card-gei-x-1o-la", 1054), ("card-gei-x-1e", 1055), ("card-gei-x-1e-d", 1056), ("card-gei-x-4o-48e", 1057), ("card-gei-f-2", 1058), ("card-gei-10", 1059), ("card-gei-4", 1060), ("card-gei-2e", 1061), ("card-gei-2o", 1062), ("card-gei-1o-1e", 1063), ("card-gei-8-p4", 1064), ("card-gei-8-p4-ez", 1065), ("card-gei-4b", 1066), ("card-gei-10-b", 1067), ("card-gei-4-b", 1068), ("card-gei-x-2ef", 1069), ("card-gei-x-4ef", 1070), ("card-gei-24ec", 1071), ("card-gei-24ef", 1072), ("card-gei-48ec", 1073), ("card-gei-48ef", 1074), ("ccard-gei-x2-n-ez", 1075), ("card-gei-24-n-ez", 1076), ("card-gei-x-2ef-lit", 1077), ("card-gei-x-4ef-lit", 1078), ("card-gei-24ec-lit", 1079), ("card-gei-24ef-lit", 1080), ("card-gei-48ec-lit", 1081), ("card-gei-48ef-lit", 1082), ("card-gei-x-2ef-den", 1083), ("card-gei-x-4ef-den", 1084), ("card-gei-24ec-den", 1085), ("card-gei-24ef-den", 1086), ("card-gei-48ec-den", 1087), ("card-gei-48ef-den", 1088), ("card-gei-24f-fg", 1089), ("card-gei-24f-fg-lit", 1090), ("card-gei-24f-fg-den", 1091), ("card-gei-24hec", 1092), ("card-gei-24hec-lit", 1093), ("card-gei-24hec-den", 1094), ("card-gei-24hef", 1095), ("card-gei-24hef-lit", 1096), ("card-gei-24hef-den", 1097), ("card-gei-24hf-fg", 1098), ("card-gei-24hf-fg-lit", 1099), ("card-gei-24hf-fg-den", 1100), ("card-gei-48f-fg", 1101), ("card-gei-48f-fg-lit", 1102), ("card-gei-48f-fg-den", 1103), ("card-gei-24ef-x11", 1104), ("card-gei-24ec-x11", 1105), ("card-gei-24hef-x11", 1106), ("card-gei-48ef-x11", 1107), ("card-gei-24hec-x11", 1108), ("card-gei-48ec-x11", 1109), ("card-gei-x-2ef-x11", 1110), ("card-gei-x-4ef-x11", 1111), ("card-wan-x", 1112), ("card-gei-4-d", 1113), ("card-gei-x-8ef", 1114), ("card-ugse-gei-48ec", 1115), ("card-ugse-gei-48ec-lit", 1116), ("card-ugse-gei-48ec-den", 1117), ("card-ugsf-gei-48ef", 1118), ("card-ugsf-gei-48ef-lit", 1119), ("card-ugsf-gei-48ef-den", 1120), ("card-umtf-gei-24ef", 1121), ("card-umtf-gei-24ef-lit", 1122), ("card-umtf-gei-24ef-den", 1123), ("card-umtf-gei-24ef-2x", 1124), ("card-umtf-gei-24ef-2x-lit", 1125), ("card-umtf-gei-24ef-2x-den", 1126), ("card-umtf-gei-24ef-ez", 1127), ("card-umtf-gei-24ef-lit-ez", 1128), ("card-umtf-gei-24ef-den-ez", 1129), ("card-umte-gei-24ef", 1130), ("card-umte-gei-24ef-lit", 1131), ("card-umte-gei-24ef-den", 1132), ("card-umte-gei-24ef-2x", 1133), ("card-umte-gei-24ef-2x-lit", 1134), ("card-umte-gei-24ef-2x-den", 1135), ("card-umte-gei-24ef-ez", 1136), ("card-umte-gei-24ef-lit-ez", 1137), ("card-umte-gei-24ef-den-ez", 1138), ("card-gei-e-sfp", 1139), ("card-gei-8f", 1140), ("card-uwsa8541-g-24", 1141), ("card-stack", 1142), ("card-gei-8e", 1143), ("card-umhf-gei-x-4ef", 1144), ("card-umhf-gei-x-4ef-1ez", 1145), ("card-umhf-gei-x-4ef-2ez", 1146), ("card-umhf-gei-x-4ef-1ez-left", 1147), ("card-umtf1-gei-l2ef", 1149), ("card-umtf1-gei-l2ef-lit", 1150), ("card-umtf1-gei-l2ef-den", 1151), ("card-umtf1-gei-l2ef-2x", 1152), ("card-umtf1-gei-l2ef-2x-lit", 1153), ("card-umtf1-gei-l2ef-2x-den", 1154), ("card-umtf1-gei-l2ef-ez", 1155), ("card-umtf1-gei-l2ef-lit-ez", 1156), ("card-umtf1-gei-l2ef-den-ez", 1157), ("card-umte1-gei-l2ef", 1158), ("card-umte1-gei-l2ef-lit", 1159), ("card-umte1-gei-l2ef-den", 1160), ("card-umte1-gei-l2ef-2x", 1161), ("card-umte1-gei-l2ef-2x-lit", 1162), ("card-umte1-gei-l2ef-2x-den", 1163), ("card-umte1-gei-l2ef-ez", 1164), ("card-umte1-gei-l2ef-lit-ez", 1165), ("card-umte1-gei-l2ef-den-ez", 1166), ("card-sygf-gei-12ef-2x", 1168), ("card-sygf-gei-12ef-2x-den", 1169), ("card-sygf-gei-12ef-2x-ez", 1170), ("card-sygf-gei-12ef-2x-den-ez", 1171), ("card-sygf-gei-12ef-2x-clock", 1172), ("card-sygf-gei-12ef-2x-den-clock", 1173), ("card-sygf-gei-12ef-2x-ez-clock", 1174), ("card-sygf-gei-12ef-2x-den-ez-clock", 1175), ("card-umhf-gei-x-2ef", 1184), ("card-umhf-gei-x-2ef-1ez", 1185), ("card-umhf-gei-x-2ef-2ez", 1186), ("card-umhf-gei-x-2ef-1ez-left", 1187), ("card-gei-4oi-48e", 1188), ("card-gei-4oi-24e", 1189), ("card-umop-12gefi-12epon", 1190), ("card-umop-12gefi-12epon-den", 1191), ("card-umop-12gefi-12epon-ez", 1192), ("card-umop-12gefi-12epon-den-ez", 1193), ("card-umop-12gefi-8epon", 1194), ("card-umop-12gefi-8epon-den", 1195), ("card-umop-12gefi-8epon-ez", 1196), ("card-umop-12gefi-8epon-den-ez", 1197), ("card-umop-12gefi-4epon", 1198), ("card-umop-12gefi-4epon-den", 1199), ("card-umop-12gefi-4epon-ez", 1200), ("card-umop-12gefi-4epon-den-ez", 1201), ("card-uxhf-2c-2xefi", 1202), ("card-uxhf-2c-2xefi-lit", 1203), ("card-uxhf-2c-2xefi-den", 1204), ("card-ge48a", 1205), ("card-ge24a", 1206), ("card-utqf-gei-12ef-1588-clock-no", 1207), ("card-utqf-gei-12ef-1588-clock-left", 1208), ("card-utqf-gei-12ef-1588-clock-right", 1209), ("card-utqf-gei-12ef-1588-clock", 1210), ("card-utqf-gei-12ef-1588-clock-no-den", 1211), ("card-utqf-gei-12ef-1588-clock-left-den", 1212), ("card-utqf-gei-12ef-1588-clock-right-den", 1213), ("card-utqf-gei-12ef-1588-clock-den", 1214), ("card-utqf-gei-12ef-1588-clock-no-ez", 1215), ("card-utqf-gei-12ef-1588-clock-left-ez", 1216), ("card-utqf-gei-12ef-1588-clock-right-ez", 1217), ("card-utqf-gei-12ef-1588-clock-ez", 1218), ("card-utqf-gei-12ef-1588-clock-no-den-ez", 1219), ("card-utqf-gei-12ef-1588-clock-left-den-ez", 1220), ("card-utqf-gei-12ef-1588-clock-right-den-ez", 1221), ("card-utqf-gei-12ef-1588-clock-den-ez", 1222), ("card-gei-48ef-den-replace-ufsf", 1223), ("card-gei-48ef-replace-ufsf", 1224), ("card-umtf1-gei-12ef-ez-replace-xgm", 1225), ("card-umtf1-gei-12ef-den-ez-replace-xgm", 1226), ("card-ge24d", 1227), ("card-UVSF-H3", 1228), ("card-UVFF-H3", 1229), ("card-UWSF-H3", 1230), ("card-UVTF-H3", 1235), ("card-USFF-H3", 1236), ("card-SF-24GE-H3", 1237), ("card-oc3", 1538), ("card-oc3-4", 1539), ("card-oc12", 1540), ("card-oc48", 1541), ("card-oc48-2", 1542), ("card-oc3-c", 1543), ("card-oc48-c", 1544), ("card-oc48-dl", 1545), ("card-oc48-sg", 1546), ("card-oc48-2-dl", 1547), ("card-oc3-8", 1548), ("card-oc192-1-ez", 1549), ("card-oc3-8-pm5351", 1550), ("card-oc3-c-2", 1551), ("card-oc192b-1-ez", 1552), ("card-oc48f", 1553), ("card-oc48-4", 1554), ("card-atm155", 2051), ("card-atm622", 2052), ("card-atm155-8", 2053), ("card-atm155-rev", 2054), ("card-atm155-4", 2055), ("card-e1-16", 2564), ("card-e1-32", 2565), ("card-e1-c-32", 2566)) + NamedValues(("card-e1-c", 2567), ("card-e1-c-4", 2568), ("card-e1-c-8", 2569), ("card-e1-c-8-ixbus", 2570), ("card-e1-c-1", 2571), ("card-e1-c-2", 2572), ("card-e1vi", 2573), ("card-e1-c-8-pm7366", 2574), ("card-t1-c-4", 3077), ("card-t1-4", 3078), ("card-t1-c-1", 3079), ("card-t1-c-2", 3080), ("card-t1-c-8-pm7366", 3081), ("card-t3-c", 4103), ("card-t3", 4104), ("card-smb", 4609), ("card-e1te", 4610), ("card-manage-qx-lct", 4611), ("card-e3-c", 4616), ("card-e3", 4617), ("card-sygf-clkc-mmpi", 4865), ("card-utqf-tphy-mmpi", 4866), ("card-bpts", 4867), ("card-lhs", 5129), ("card-aux", 5130), ("card-lfxs", 5131), ("card-lhsu", 5132), ("card-lfxo", 5133), ("card-lffxs-4", 5134), ("card-lffxs-2", 5135), ("card-ndec", 5136), ("card-mhs8", 5137), ("card-mhs16", 5138), ("card-mndec", 5139), ("card-mpc-tmcs-non-hg", 5642), ("card-mpc-tmcs-8-hg", 5643), ("card-mpc-umcs-12-hg", 5644), ("card-mpc-umcs-16-hg", 5645), ("card-mpc-umct-24-hg", 5646), ("card-mpc-umcu-12-hg", 5647), ("card-manage", 128), ("card-manage-spec", 129), ("card-manage-qx", 130), ("card-manage-lct", 131), ("card-loopback", 161), ("card-gre", 163), ("card-tunnel", 164), ("card-mppp", 165), ("card-vlan", 166), ("card-null", 167), ("card-port-channel", 168), ("card-supervlan", 169), ("card-dialer", 170), ("card-vbui", 171), ("card-virtual-template", 173), ("card-virtual-access", 174), ("card-superpvc", 175), ("card-l2tpdialer", 176), ("card-qinq", 177), ("card-superqinq", 178), ("card-uni", 179), ("card-ces", 180), ("card-cip", 181), ("card-vip", 182), ("upc-board", 5001), ("sfc-board", 5101), ("sfc2-board", 5102), ("sfc3-board", 5103), ("smp-board", 5201), ("mcp-board", 5301), ("mec-board", 5401)) class PortType(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(512, 1025, 1026, 1027, 1028, 1061, 1062, 1063, 1190, 1538, 1539, 1540, 1541, 1542, 1543, 2051, 2052, 2564, 2565, 2566, 2567, 2568, 3077, 3078, 3590, 3591, 3592, 3593, 4103, 4104, 4616, 4617, 5129, 5130, 5131, 5132, 5133, 5134, 5135, 5136, 5137, 5138, 5139, 5140, 5141, 5142, 5143, 128, 129, 161, 163, 164, 165, 166, 167, 168, 169, 170, 171, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182)) namedValues = NamedValues(("port-fei", 512), ("port-gei", 1025), ("port-gei-x", 1026), ("port-wan-x", 1027), ("port-stack", 1028), ("port-gei-2e", 1061), ("port-gei-2o", 1062), ("port-gei-1o-1e", 1063), ("port-gei-epon", 1190), ("port-oc3", 1538), ("port-oc12", 1539), ("port-oc48", 1540), ("port-oc3-c", 1541), ("port-oc48-c", 1542), ("port-oc192", 1543), ("port-atm155", 2051), ("port-atm622", 2052), ("port-e1", 2564), ("port-e1-c", 2565), ("port-e1-c-ixbus", 2566), ("port-e1vi", 2567), ("port-e1vi-serial", 2568), ("port-t1", 3077), ("port-t1-c", 3078), ("port-tdm-e1", 3590), ("port-tdm-ether", 3591), ("port-tdm-inte-ether", 3592), ("port-tdm-t1", 3593), ("port-t3", 4103), ("port-t3-c", 4104), ("port-e3", 4616), ("port-e3-c", 4617), ("port-lhs", 5129), ("port-aux", 5130), ("port-lfxs", 5131), ("port-lhsu", 5132), ("port-lfxo", 5133), ("port-async", 5134), ("port-lffxs-2", 5135), ("port-ndec", 5136), ("port-mndec", 5137), ("port-timer1588", 5138), ("port-timer-ext", 5139), ("port-manage-qx", 5140), ("port-manage-lct", 5141), ("port-timer-abs", 5142), ("port-gps", 5143), ("port-manage", 128), ("port-manage-spec", 129), ("port-loopback", 161), ("port-gre", 163), ("port-tunnel", 164), ("port-mppp", 165), ("port-vlan", 166), ("port-null", 167), ("port-port-channel", 168), ("port-supervlan", 169), ("port-dialer", 170), ("port-vbui", 171), ("port-virtual-template", 173), ("port-virtual-access", 174), ("port-superpvc", 175), ("port-l2tpdialer", 176), ("port-qinq", 177), ("port-superqinq", 178), ("port-uni", 179), ("port-ces", 180), ("port-cip", 181), ("port-vip", 182)) class AlarmType(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 128, 129, 130, 131)) namedValues = NamedValues(("hardware-environment", 1), ("hardware-board", 2), ("hardware-port", 3), ("softprotocol-ros", 65), ("softprotocol-database", 66), ("softprotocol-oam", 67), ("softprotocol-security", 68), ("softprotocol-ospf", 69), ("softprotocol-rip", 70), ("softprotocol-bgp", 71), ("softprotocol-drp", 72), ("softprotocol-tcp-udp", 73), ("softprotocol-ip", 74), ("softprotocol-igmp", 75), ("softprotocol-telnet", 76), ("softprotocol-udp", 77), ("softprotocol-arp", 78), ("softprotocol-isis", 79), ("softprotocol-icmp", 80), ("softprotocol-snmp", 81), ("softprotocol-rmon", 82), ("softprotocol-nat", 83), ("softprotocol-urpf", 84), ("softprotocol-vswitch", 85), ("softprotocol-acl", 86), ("softprotocol-vrrp", 87), ("softprotocol-ppp", 88), ("softprotocol-scan", 89), ("softprotocol-mac", 90), ("softprotocol-alg", 91), ("softprotocol-loopdetect", 92), ("softprotocol-session", 93), ("softprotocol-dhcp", 94), ("softprotocol-mld", 95), ("softprotocol-stp", 96), ("softprotocol-vlan", 97), ("softprotocol-local-accounting", 98), ("softprotocol-radius", 99), ("softprotocol-ldp", 100), ("softprotocol-amat", 101), ("softprotocol-l2vpn", 102), ("softprotocol-rsvp", 103), ("softprotocol-zesr", 104), ("softprotocol-igmp-snooping", 105), ("softprotocol-fr", 106), ("softprotocol-ethoam", 107), ("softprotocol-ssh", 108), ("softprotocol-tdm", 109), ("softprotocol-qos", 110), ("softprotocol-tacacs", 111), ("softprotocol-aaa", 112), ("softprotocol-ipv6", 113), ("softprotocol-pim", 114), ("softprotocol-fw", 115), ("softprotocol-mux", 116), ("softprotocol-udld", 117), ("softprotocol-mix", 118), ("softprotocol-bfd", 119), ("softprotocol-cfm", 120), ("softprotocol-zess", 128), ("statistics-aps", 129), ("statistics-pdh-2m", 130), ("statistics-epon", 131)) class PortWorkingType(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 2)) namedValues = NamedValues(("auto-config", 0), ("full-duplex", 1), ("half-duplex", 2)) class ShelfAttrib(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4)) namedValues = NamedValues(("workshelf", 1), ("fanshelf", 2), ("powershelf", 3), ("environshelf", 4)) class HostAttr(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1, 2)) namedValues = NamedValues(("global", 0), ("mng", 1), ("vrf", 2)) class SystemDeviceType(Integer32): subtypeSpec = Integer32.subtypeSpec + ConstraintsUnion(SingleValueConstraint(0, 1)) namedValues = NamedValues(("single", 0), ("stack", 1)) zxr10systemconfig = MibIdentifier((1, 3, 6, 1, 4, 1, 3902, 3, 1)) zxr10rack = MibIdentifier((1, 3, 6, 1, 4, 1, 3902, 3, 2)) zxr10SystemID = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 1, 1), ProductID()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemID.setStatus('current') if mibBuilder.loadTexts: zxr10SystemID.setDescription('An integer description of the zxr10SystemID.') zxr10SystemserialNo = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemserialNo.setStatus('current') if mibBuilder.loadTexts: zxr10SystemserialNo.setDescription('the serial no of the current system.') zxr10SystemDescrip = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemDescrip.setStatus('current') if mibBuilder.loadTexts: zxr10SystemDescrip.setDescription('A texal description for the zxr10 System config information,The character must be printable .') zxr10SystemTrapHost = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 1, 4), IpAddress()).setMaxAccess("readwrite") if mibBuilder.loadTexts: zxr10SystemTrapHost.setStatus('current') if mibBuilder.loadTexts: zxr10SystemTrapHost.setDescription('the ip address of trap host.') zxr10SystemTrapCommunity = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 1, 5), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 32))).setMaxAccess("readwrite") if mibBuilder.loadTexts: zxr10SystemTrapCommunity.setStatus('current') if mibBuilder.loadTexts: zxr10SystemTrapCommunity.setDescription('the community of trap. ') zxr10SystemVersion = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 32))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemVersion.setStatus('current') if mibBuilder.loadTexts: zxr10SystemVersion.setDescription('The version of current system.') zxr10SystemVpnName = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 1, 7), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 16))).setMaxAccess("readwrite") if mibBuilder.loadTexts: zxr10SystemVpnName.setStatus('current') if mibBuilder.loadTexts: zxr10SystemVpnName.setDescription('The Vrf VPN name of SNMP trap host.') zxr10SystemHostAttr = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 1, 8), HostAttr()).setMaxAccess("readwrite") if mibBuilder.loadTexts: zxr10SystemHostAttr.setStatus('current') if mibBuilder.loadTexts: zxr10SystemHostAttr.setDescription('The Vrf VPN name of SNMP trap host.') zxr10SystemEnableSecret = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 1, 9), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(3, 16))).setMaxAccess("readwrite") if mibBuilder.loadTexts: zxr10SystemEnableSecret.setStatus('current') if mibBuilder.loadTexts: zxr10SystemEnableSecret.setDescription('Specifies an ENCRYPTED secret.') zxr10SystemDeviceType = MibScalar((1, 3, 6, 1, 4, 1, 3902, 3, 1, 12), SystemDeviceType()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemDeviceType.setStatus('current') if mibBuilder.loadTexts: zxr10SystemDeviceType.setDescription('The device is stack device or single device. 1: stack device 0: single device') zxr10rackTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 2, 1), ) if mibBuilder.loadTexts: zxr10rackTable.setStatus('current') if mibBuilder.loadTexts: zxr10rackTable.setDescription('the description of zxr10 rackinfomation it is a list of rack entries.') zxr10rackEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 2, 1, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10RackNo")) if mibBuilder.loadTexts: zxr10rackEntry.setStatus('current') if mibBuilder.loadTexts: zxr10rackEntry.setDescription('A rack entry containing objects that descript the rack infomation,such as: rack no.,rack status,rack attribute.') zxr10RackNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 1, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10RackNo.setStatus('current') if mibBuilder.loadTexts: zxr10RackNo.setDescription('the no. of the special rack.') zxr10RackAttrib = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 1, 1, 2), MasterStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10RackAttrib.setStatus('current') if mibBuilder.loadTexts: zxr10RackAttrib.setDescription('the attribute. of the special rack. eg ,the current rack is a master rack, we use 1,else if the rack is slave we use 2 .') zxr10RackAvailStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 1, 1, 3), AvailStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10RackAvailStatus.setStatus('current') if mibBuilder.loadTexts: zxr10RackAvailStatus.setDescription('the status. of the special rack. eg ,the current rack is running, we use 1,else if the rack is down, we use 0 .') zxr10shelfTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 2, 2), ) if mibBuilder.loadTexts: zxr10shelfTable.setStatus('current') if mibBuilder.loadTexts: zxr10shelfTable.setDescription('the description of zxr10 shelf infomation it is a list of shelf entries.') zxr10shelfEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 2, 2, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10RackNo"), (0, "ZXR10-MIB", "zxr10ShelfNo")) if mibBuilder.loadTexts: zxr10shelfEntry.setStatus('current') if mibBuilder.loadTexts: zxr10shelfEntry.setDescription('A shelf entry containing objects that descript the shelf infomation,such as: zxr10ShelfRackNo,zxr10ShelfNo , zxr10ShelfAttrib,zxr10ShelfAvailStatus.') zxr10ShelfNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 2, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10ShelfNo.setStatus('current') if mibBuilder.loadTexts: zxr10ShelfNo.setDescription('the no. of the special shelf.') zxr10ShelfAttrib = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 2, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10ShelfAttrib.setStatus('current') if mibBuilder.loadTexts: zxr10ShelfAttrib.setDescription('the attribute. of the special rack. eg ,the current shelf is a working shelf, we use 1,else if the shelf is a fan shelf we use 2 ,etc.') zxr10ShelfAvailStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 2, 1, 3), AvailStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10ShelfAvailStatus.setStatus('current') if mibBuilder.loadTexts: zxr10ShelfAvailStatus.setDescription('the status. of the special shelf. eg ,the current shelf is in use, we use 1,else if the shelfis unuse, we use 0 .') zxr10slotTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3), ) if mibBuilder.loadTexts: zxr10slotTable.setStatus('current') if mibBuilder.loadTexts: zxr10slotTable.setDescription('the description of zxr10 card infomation it is a list of card entries.') zxr10slotEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10RackNo"), (0, "ZXR10-MIB", "zxr10ShelfNo"), (0, "ZXR10-MIB", "zxr10PosInRack")) if mibBuilder.loadTexts: zxr10slotEntry.setStatus('current') if mibBuilder.loadTexts: zxr10slotEntry.setDescription('A card entry containing objects that descript the card infomation,such as: zxr10PaneNo, zxr10SlotBoardType,zxr10SlotPortsNumber, zxr10SlotAvailStatus,zxr10SlotOperStatus, zxr10SlotMasterStatus.') zxr10PaneNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PaneNo.setStatus('current') if mibBuilder.loadTexts: zxr10PaneNo.setDescription('the no of the slot where the special card is inserted .') zxr10PosInRack = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PosInRack.setStatus('current') if mibBuilder.loadTexts: zxr10PosInRack.setDescription('the position where the special card is stored in the rack.') zxr10SlotBoardType = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 3), BoardType()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SlotBoardType.setStatus('current') if mibBuilder.loadTexts: zxr10SlotBoardType.setDescription('the type of the card( or board).') zxr10SlotNPCType = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 4), NpcType()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SlotNPCType.setStatus('current') if mibBuilder.loadTexts: zxr10SlotNPCType.setDescription('the NPC type of the board.') zxr10SlotPortsNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SlotPortsNumber.setStatus('current') if mibBuilder.loadTexts: zxr10SlotPortsNumber.setDescription('it descripts how many ports are in the card .') zxr10SlotAvailStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 6), AvailStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SlotAvailStatus.setStatus('current') if mibBuilder.loadTexts: zxr10SlotAvailStatus.setDescription('the status. of the special card. eg ,the current rack is running, we use 1,else if the card is down, we use 0 . 1 indicate board in slot, 0 indicate board not in slot.') zxr10SlotOperStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 7), OperStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SlotOperStatus.setStatus('current') if mibBuilder.loadTexts: zxr10SlotOperStatus.setDescription("the operstatus. of the special card. eg ,the current card can work, we use 1, else if the card can't,we use 0 . 1 indicate 'mpu and rpu both run normally', 0 indicate 'error' for upc board, 1 indicate 'upc communicate with them(sfc,upc) normally', 0 indicate 'error' for sfc npc board.") zxr10SlotMasterStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 8), MasterStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SlotMasterStatus.setStatus('current') if mibBuilder.loadTexts: zxr10SlotMasterStatus.setDescription('as for board upc and board sfc , master indicates masterStatus, slave indicates slaveStatus, for npc,only one status : master status') zxr10ReceiveTick = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 9), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10ReceiveTick.setStatus('current') if mibBuilder.loadTexts: zxr10ReceiveTick.setDescription('The last ticks of receving the board information .') zxr10SlotTemperature = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SlotTemperature.setStatus('current') if mibBuilder.loadTexts: zxr10SlotTemperature.setDescription('The temperature of the board .') zxr10SubcardMax = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 11), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SubcardMax.setStatus('current') if mibBuilder.loadTexts: zxr10SubcardMax.setDescription('It descripts how many sub slots which can load the sub card in the board.') zxr10BootVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 12), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10BootVersion.setStatus('current') if mibBuilder.loadTexts: zxr10BootVersion.setDescription('It descripts the bootrom version in the board.') zxr10PCBVersion = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 13), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 128))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PCBVersion.setStatus('current') if mibBuilder.loadTexts: zxr10PCBVersion.setDescription('It descripts the PCB version in the board.') zxr10FPGAVer = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 14), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 128))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10FPGAVer.setStatus('current') if mibBuilder.loadTexts: zxr10FPGAVer.setDescription('It descripts the FPGA version in the board.') zxr10McodeVer = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 15), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 32))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10McodeVer.setStatus('current') if mibBuilder.loadTexts: zxr10McodeVer.setDescription('It descripts the Mcode version in the board.') zxr10MasterQDRSRAMSize = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 16), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10MasterQDRSRAMSize.setStatus('current') if mibBuilder.loadTexts: zxr10MasterQDRSRAMSize.setDescription('It descripts the size of QDRSRAM.') zxr10SlaveQDRSRAMSize = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 17), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SlaveQDRSRAMSize.setStatus('current') if mibBuilder.loadTexts: zxr10SlaveQDRSRAMSize.setDescription('It descripts the size of QDRSRAM.') zxr10camSize = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 18), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10camSize.setStatus('current') if mibBuilder.loadTexts: zxr10camSize.setDescription('It descripts the size of cam.') zxr10BoardSilkLabel = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 3, 1, 19), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(1, 8))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10BoardSilkLabel.setStatus('current') if mibBuilder.loadTexts: zxr10BoardSilkLabel.setDescription('It descripts the silk label of the board.') zxr10portTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 2, 4), ) if mibBuilder.loadTexts: zxr10portTable.setStatus('current') if mibBuilder.loadTexts: zxr10portTable.setDescription('the description of port infomation in the zxr10 card . it is a list of port entries.') zxr10portEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 2, 4, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10RackNo"), (0, "ZXR10-MIB", "zxr10ShelfNo"), (0, "ZXR10-MIB", "zxr10PosInRack"), (0, "ZXR10-MIB", "zxr10PortNo")) if mibBuilder.loadTexts: zxr10portEntry.setStatus('current') if mibBuilder.loadTexts: zxr10portEntry.setDescription('A port entry containing objects that descript the port infomation,such as: zxr10PortNo zxr10PortType zxr10PortWorkingType zxr10PortMTU zxr10PortSpeed zxr10PortAvailStatus zxr10PortOperStatus.') zxr10PortIfIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 4, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PortIfIndex.setStatus('current') if mibBuilder.loadTexts: zxr10PortIfIndex.setDescription('the IfIndex of the port on the card.') zxr10PortNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 4, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PortNo.setStatus('current') if mibBuilder.loadTexts: zxr10PortNo.setDescription('the no. of the port on the card, which contains several ports .') zxr10PortType = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 4, 1, 3), PortType()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PortType.setStatus('current') if mibBuilder.loadTexts: zxr10PortType.setDescription('the type of the port.') zxr10PortWorkingType = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 4, 1, 4), PortWorkingType()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PortWorkingType.setStatus('current') if mibBuilder.loadTexts: zxr10PortWorkingType.setDescription('auto-mode(0) indicate the port working type is auto mode, full-duplex(1) indicate the port working type is full duplex, half-duplex(2) indicate the port working type is half duplex.') zxr10PortMTU = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 4, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PortMTU.setStatus('current') if mibBuilder.loadTexts: zxr10PortMTU.setDescription('the mtu of this port .') zxr10PortSpeed = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 4, 1, 6), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 16))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PortSpeed.setStatus('current') if mibBuilder.loadTexts: zxr10PortSpeed.setDescription('the transmit speed of this port, unit is Mbps.') zxr10PortAvailStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 4, 1, 7), AvailStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PortAvailStatus.setStatus('current') if mibBuilder.loadTexts: zxr10PortAvailStatus.setDescription('the status. of the special port. eg ,the current port is running, we use 1,else if the card is down, we use 0 . 1 indicate physical level initialize ok 0 indicate physical level initialize not ok ') zxr10PortOperStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 4, 1, 8), OperStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PortOperStatus.setStatus('current') if mibBuilder.loadTexts: zxr10PortOperStatus.setDescription("the operstatus. of the special card. eg ,the current card can work, we use 1, else if the card can't,we use 0 . for upc board: 1 indicate mpu and rpu both run normally, 0 indicate error, for sfc npc board: 1 indicate upc communicate with them(sfc,upc) normally, 0 indicate error.") zxr10PortProtocolStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 4, 1, 9), OperStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PortProtocolStatus.setStatus('current') if mibBuilder.loadTexts: zxr10PortProtocolStatus.setDescription('0: down 1: up') zxr10PortProperty = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 4, 1, 10), PortProperty()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PortProperty.setStatus('current') if mibBuilder.loadTexts: zxr10PortProperty.setDescription('0: photo 1: electricity 3: phoelecmix 4: console') zxr10PortDesc = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 2, 4, 1, 11), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 128))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10PortDesc.setStatus('current') if mibBuilder.loadTexts: zxr10PortDesc.setDescription('the description of this port.') zxr10_alarm = MibIdentifier((1, 3, 6, 1, 4, 1, 3902, 3, 4)).setLabel("zxr10-alarm") zxr10HardwareAlarmTrapTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6), ) if mibBuilder.loadTexts: zxr10HardwareAlarmTrapTable.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmTrapTable.setDescription('A hardware alarm list for sending trap information.') zxr10HardwareAlarmTrapEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10HardwareAlarmSlotNo"), (0, "ZXR10-MIB", "zxr10HardwareAlarmCode")) if mibBuilder.loadTexts: zxr10HardwareAlarmTrapEntry.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmTrapEntry.setDescription('An entry to the hardware alarm trap table.') zxr10HardwareAlarmRackNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareAlarmRackNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmRackNo.setDescription('the rack no. ') zxr10HardwareAlarmShelfNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareAlarmShelfNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmShelfNo.setDescription('the shelf no. ') zxr10HardwareAlarmSlotNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareAlarmSlotNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmSlotNo.setDescription('the slot no. ') zxr10HardwareAlarmPortNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareAlarmPortNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmPortNo.setDescription('the port no. ') zxr10HardwareAlarmCode = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareAlarmCode.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmCode.setDescription('the hardware alarm code . ') zxr10HardwareAlarmLevel = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareAlarmLevel.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmLevel.setDescription('the hardware alarm level. ') zxr10HardwareAlarmTime = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1, 7), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareAlarmTime.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmTime.setDescription('Total running-time since the Router System up when the hardware alarm occurred. ') zxr10HardwareAlarmStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1, 8), BoolStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareAlarmStatus.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmStatus.setDescription('the hardware alarm status. (true or 1 ) RAISED , (false or 0) CLEARED') zxr10HardwareAlarmType = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1, 9), AlarmType()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareAlarmType.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmType.setDescription('the hardware alarm type. ') zxr10HardwareAlarmVariableValue = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareAlarmVariableValue.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmVariableValue.setDescription('the hardware alarm variable value. ') zxr10HardwareAlarmValueRisingThreshold = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1, 11), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareAlarmValueRisingThreshold.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmValueRisingThreshold.setDescription('the hardware alarm variable rising value. ') zxr10HardwareAlarmValueFallingThreshold = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1, 12), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareAlarmValueFallingThreshold.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmValueFallingThreshold.setDescription('the hardware alarm variable falling value. ') zxr10HardwareAlarmDescrip = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 6, 1, 13), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareAlarmDescrip.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmDescrip.setDescription('the hardware alarm description. ') zxr10SoftProtocolAlarmTrapTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 4, 7), ) if mibBuilder.loadTexts: zxr10SoftProtocolAlarmTrapTable.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmTrapTable.setDescription('A softprotocol alarm list for sending trap information.') zxr10SoftProtocolAlarmTrapEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 4, 7, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10SoftProtocolAlarmSlotNo"), (0, "ZXR10-MIB", "zxr10SoftProtocolAlarmCode")) if mibBuilder.loadTexts: zxr10SoftProtocolAlarmTrapEntry.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmTrapEntry.setDescription('An entry to the softprotocol alarm trap table.') zxr10SoftProtocolAlarmRackNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 7, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmRackNo.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmRackNo.setDescription('the rack no . ') zxr10SoftProtocolAlarmShelfNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 7, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmShelfNo.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmShelfNo.setDescription('the shelf no . ') zxr10SoftProtocolAlarmSlotNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 7, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmSlotNo.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmSlotNo.setDescription('the slot no . ') zxr10SoftProtocolAlarmCode = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 7, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmCode.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmCode.setDescription('the softprotocol alarm code . ') zxr10SoftProtocolAlarmLevel = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 7, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmLevel.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmLevel.setDescription('the softprotocol alarm level. ') zxr10SoftProtocolAlarmTime = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 7, 1, 6), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmTime.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmTime.setDescription('the total running-time after the Router System up when the softprotocol alarm occurred. ') zxr10SoftProtocolAlarmStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 7, 1, 7), BoolStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmStatus.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmStatus.setDescription('the softprotocol alarm status: (true or 1) RAISED , (false or 0) CLEARED . ') zxr10SoftProtocolAlarmType = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 7, 1, 8), AlarmType()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmType.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmType.setDescription('the softprotocol alarm type. ') zxr10SoftProtocolAlarmDescrip = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 7, 1, 9), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmDescrip.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmDescrip.setDescription('the softprotocol alarm description. ') zxr10StatisticsAlarmTrapTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8), ) if mibBuilder.loadTexts: zxr10StatisticsAlarmTrapTable.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmTrapTable.setDescription('A statistics alarm list for sending trap information.') zxr10StatisticsAlarmTrapEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10StatisticsAlarmSlotNo"), (0, "ZXR10-MIB", "zxr10StatisticsAlarmCode")) if mibBuilder.loadTexts: zxr10StatisticsAlarmTrapEntry.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmTrapEntry.setDescription('An entry to the statistics alarm trap table.') zxr10StatisticsAlarmRackNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmRackNo.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmRackNo.setDescription('the rack no . ') zxr10StatisticsAlarmShelfNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmShelfNo.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmShelfNo.setDescription('the shelf no . ') zxr10StatisticsAlarmSlotNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmSlotNo.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmSlotNo.setDescription('the slot no . ') zxr10StatisticsAlarmPortNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmPortNo.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmPortNo.setDescription('the port no. ') zxr10StatisticsAlarmCode = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmCode.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmCode.setDescription('the statistics alarm code . ') zxr10StatisticsAlarmLevel = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmLevel.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmLevel.setDescription('the statistics alarm level. ') zxr10StatisticsAlarmTime = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1, 7), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmTime.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmTime.setDescription('the total running-time after the Router System up when the statistics alarm occurred. ') zxr10StatisticsAlarmStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1, 8), BoolStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmStatus.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmStatus.setDescription('the statistics alarm status: (true or 1) RAISED , (false or 0) CLEARED . ') zxr10StatisticsAlarmType = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1, 9), AlarmType()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmType.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmType.setDescription('the statistics alarm sub type. ') zxr10StatisticsAlarmVariableValue = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmVariableValue.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmVariableValue.setDescription('the statistics alarm variable value. ') zxr10StatisticsAlarmValueRisingThreshold = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1, 11), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmValueRisingThreshold.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmValueRisingThreshold.setDescription('the statistics alarm variable rising value. ') zxr10StatisticsAlarmValueFallingThreshold = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1, 12), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmValueFallingThreshold.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmValueFallingThreshold.setDescription('the statistics alarm variable falling value. ') zxr10StatisticsAlarmDescrip = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 8, 1, 13), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmDescrip.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmDescrip.setDescription('the statistics alarm description. ') zxr10AlarmTrap = MibIdentifier((1, 3, 6, 1, 4, 1, 3902, 3, 4, 20)) zxr10HardwareAlarmTrap = NotificationType((1, 3, 6, 1, 4, 1, 3902, 3, 4, 20, 1)).setObjects(("ZXR10-MIB", "zxr10HardwareAlarmRackNo"), ("ZXR10-MIB", "zxr10HardwareAlarmShelfNo"), ("ZXR10-MIB", "zxr10HardwareAlarmSlotNo"), ("ZXR10-MIB", "zxr10HardwareAlarmPortNo"), ("ZXR10-MIB", "zxr10HardwareAlarmCode"), ("ZXR10-MIB", "zxr10HardwareAlarmLevel"), ("ZXR10-MIB", "zxr10HardwareAlarmTime"), ("ZXR10-MIB", "zxr10HardwareAlarmStatus"), ("ZXR10-MIB", "zxr10HardwareAlarmType"), ("ZXR10-MIB", "zxr10HardwareAlarmVariableValue"), ("ZXR10-MIB", "zxr10HardwareAlarmValueRisingThreshold"), ("ZXR10-MIB", "zxr10HardwareAlarmValueFallingThreshold"), ("ZXR10-MIB", "zxr10HardwareAlarmDescrip")) if mibBuilder.loadTexts: zxr10HardwareAlarmTrap.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareAlarmTrap.setDescription('when a hardware alarm occurred, send the trap PDU to uniform network manager.') zxr10SoftProtocolAlarmTrap = NotificationType((1, 3, 6, 1, 4, 1, 3902, 3, 4, 20, 2)).setObjects(("ZXR10-MIB", "zxr10SoftProtocolAlarmRackNo"), ("ZXR10-MIB", "zxr10SoftProtocolAlarmShelfNo"), ("ZXR10-MIB", "zxr10SoftProtocolAlarmSlotNo"), ("ZXR10-MIB", "zxr10SoftProtocolAlarmCode"), ("ZXR10-MIB", "zxr10SoftProtocolAlarmLevel"), ("ZXR10-MIB", "zxr10SoftProtocolAlarmTime"), ("ZXR10-MIB", "zxr10SoftProtocolAlarmStatus"), ("ZXR10-MIB", "zxr10SoftProtocolAlarmType"), ("ZXR10-MIB", "zxr10SoftProtocolAlarmDescrip")) if mibBuilder.loadTexts: zxr10SoftProtocolAlarmTrap.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmTrap.setDescription('when a softprotocol alarm occurred, send the trap PDU to unm. ') zxr10StatisticsAlarmTrap = NotificationType((1, 3, 6, 1, 4, 1, 3902, 3, 4, 20, 3)).setObjects(("ZXR10-MIB", "zxr10StatisticsAlarmRackNo"), ("ZXR10-MIB", "zxr10StatisticsAlarmShelfNo"), ("ZXR10-MIB", "zxr10StatisticsAlarmSlotNo"), ("ZXR10-MIB", "zxr10StatisticsAlarmPortNo"), ("ZXR10-MIB", "zxr10StatisticsAlarmCode"), ("ZXR10-MIB", "zxr10StatisticsAlarmLevel"), ("ZXR10-MIB", "zxr10StatisticsAlarmTime"), ("ZXR10-MIB", "zxr10StatisticsAlarmStatus"), ("ZXR10-MIB", "zxr10StatisticsAlarmType"), ("ZXR10-MIB", "zxr10StatisticsAlarmVariableValue"), ("ZXR10-MIB", "zxr10StatisticsAlarmValueRisingThreshold"), ("ZXR10-MIB", "zxr10StatisticsAlarmValueFallingThreshold"), ("ZXR10-MIB", "zxr10StatisticsAlarmDescrip")) if mibBuilder.loadTexts: zxr10StatisticsAlarmTrap.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmTrap.setDescription('when a statistics alarm occurred, send the trap PDU to uniform network manager. ') zxr10_statistics = MibIdentifier((1, 3, 6, 1, 4, 1, 3902, 3, 3)).setLabel("zxr10-statistics") zxr10SystemUnitTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1), ) if mibBuilder.loadTexts: zxr10SystemUnitTable.setStatus('current') if mibBuilder.loadTexts: zxr10SystemUnitTable.setDescription('A list of the system statistics information.') zxr10SystemUnitEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10SystemUnitIndex")) if mibBuilder.loadTexts: zxr10SystemUnitEntry.setStatus('current') if mibBuilder.loadTexts: zxr10SystemUnitEntry.setDescription('An entry to the sysem statistics information table.') zxr10SystemUnitIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemUnitIndex.setStatus('current') if mibBuilder.loadTexts: zxr10SystemUnitIndex.setDescription('the index of system Unit ') zxr10SystemUnitRunStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1, 1, 2), UnitRunStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemUnitRunStatus.setStatus('current') if mibBuilder.loadTexts: zxr10SystemUnitRunStatus.setDescription('the run status of system Unit 1 is running, 0 is shutdown. ') zxr10SystemMemSize = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemMemSize.setStatus('current') if mibBuilder.loadTexts: zxr10SystemMemSize.setDescription('the physical memory size of the unit owned, the unit is byte.') zxr10SystemMemUsed = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemMemUsed.setStatus('current') if mibBuilder.loadTexts: zxr10SystemMemUsed.setDescription('the used momery described by Octets') zxr10SystemCpuUtility2m = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemCpuUtility2m.setStatus('current') if mibBuilder.loadTexts: zxr10SystemCpuUtility2m.setDescription('the cpu utility described by percent(2 minutes)') zxr10SystemCpuUtility5s = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemCpuUtility5s.setStatus('current') if mibBuilder.loadTexts: zxr10SystemCpuUtility5s.setDescription('the cpu utility described by percent( 5 seconds).') zxr10SystemCpuUtility30s = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemCpuUtility30s.setStatus('current') if mibBuilder.loadTexts: zxr10SystemCpuUtility30s.setDescription('the cpu utility described by percent( 30 seconds).') zxr10SystemPeakCpuUtility = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemPeakCpuUtility.setStatus('current') if mibBuilder.loadTexts: zxr10SystemPeakCpuUtility.setDescription('the cpu peak utility described by percent.(measured in 30 seconds)') zxr10SystemUnitUpTime = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1, 1, 9), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemUnitUpTime.setStatus('current') if mibBuilder.loadTexts: zxr10SystemUnitUpTime.setDescription('the total time of system running.') zxr10SystemUnitPidNum = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1, 1, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemUnitPidNum.setStatus('current') if mibBuilder.loadTexts: zxr10SystemUnitPidNum.setDescription('the total process running on the unit.') zxr10SystemCpuUtility1m = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1, 1, 11), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemCpuUtility1m.setStatus('current') if mibBuilder.loadTexts: zxr10SystemCpuUtility1m.setDescription('the cpu utility described by percent( 1 minute).') zxr10SystemCpuUtility5m = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 1, 1, 12), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SystemCpuUtility5m.setStatus('current') if mibBuilder.loadTexts: zxr10SystemCpuUtility5m.setDescription('the cpu utility described by percent( 5 minute).') zxr10UnitPidTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3), ) if mibBuilder.loadTexts: zxr10UnitPidTable.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidTable.setDescription('A list of the pid information.') zxr10UnitPidEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10SystemUnitIndex"), (0, "ZXR10-MIB", "zxr10UnitPidNo")) if mibBuilder.loadTexts: zxr10UnitPidEntry.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidEntry.setDescription('An entry to the pid information table.') zxr10UnitPidNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidNo.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidNo.setDescription('the pid no . ') zxr10UnitPidUsedStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 2), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 32))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidUsedStatus.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidUsedStatus.setDescription('the pid used status . ') zxr10UnitPidName = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 3), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidName.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidName.setDescription('the pid name. ') zxr10UnitPidPrio = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidPrio.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidPrio.setDescription('the priority of the process described by number, the number is bigger the priority is lower. ') zxr10UnitPidStackSize = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidStackSize.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidStackSize.setDescription('the stack size of the process is owned, its unit is byte. ') zxr10UnitPidCalledTimes = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidCalledTimes.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidCalledTimes.setDescription('the times that the process was called by system. ') zxr10UnitPidCpuOccupanTime = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 7), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidCpuOccupanTime.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidCpuOccupanTime.setDescription('the total time that the process occupying cpu. ') zxr10UnitPidInterruptTimes = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 8), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidInterruptTimes.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidInterruptTimes.setDescription(' the times that the process was interrupted by other process. ') zxr10UnitPidAsyQuenMsgMax = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 9), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidAsyQuenMsgMax.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidAsyQuenMsgMax.setDescription('the max message number of the asynchronism quen. ') zxr10UnitPidAsyQuenUsed = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 10), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidAsyQuenUsed.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidAsyQuenUsed.setDescription('the message number that waiting to be deal with in the asynchronism quen. ') zxr10UnitPidAsyQuenBlocked = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 11), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidAsyQuenBlocked.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidAsyQuenBlocked.setDescription('the message number that blocked in the asynchronism quen. ') zxr10UnitPidAsyQuenSendTimeouts = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 12), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidAsyQuenSendTimeouts.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidAsyQuenSendTimeouts.setDescription('the discarded messages sending to the process for timeout . ') zxr10UnitPidAsyQuenRecTimeouts = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 13), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidAsyQuenRecTimeouts.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidAsyQuenRecTimeouts.setDescription('the discarded messages sent by the process for timeout . ') zxr10UnitPidSynQuenMsgMax = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 14), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidSynQuenMsgMax.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidSynQuenMsgMax.setDescription('the max message number of the synchronism quen. ') zxr10UnitPidSynQuenUsed = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 15), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidSynQuenUsed.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidSynQuenUsed.setDescription('the message number that waiting to be deal with in the synchronism quen. ') zxr10UnitPidSynQuenBlocked = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 16), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidSynQuenBlocked.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidSynQuenBlocked.setDescription('the message number that blocked in the synchronism quen. ') zxr10UnitPidSynQuenSendTimeouts = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 17), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidSynQuenSendTimeouts.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidSynQuenSendTimeouts.setDescription('the discarded messages sending to the process for timeout .') zxr10UnitPidSynQuenRecTimeouts = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 18), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidSynQuenRecTimeouts.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidSynQuenRecTimeouts.setDescription('the discard messages sent by the process for timeout .') zxr10UnitPidTimerNamedUsed = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 19), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidTimerNamedUsed.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidTimerNamedUsed.setDescription('the total number of named timer used in this process. ') zxr10UnitPidTimerUnnamedUsed = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 3, 1, 20), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitPidTimerUnnamedUsed.setStatus('current') if mibBuilder.loadTexts: zxr10UnitPidTimerUnnamedUsed.setDescription('the total number of unnamed timer used in this process. ') zxr10UnitCommStatTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 3, 4), ) if mibBuilder.loadTexts: zxr10UnitCommStatTable.setStatus('current') if mibBuilder.loadTexts: zxr10UnitCommStatTable.setDescription('A list of the unit communication information.') zxr10UnitCommStatEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 3, 4, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10SystemUnitIndex"), (0, "ZXR10-MIB", "zxr10UnitNo")) if mibBuilder.loadTexts: zxr10UnitCommStatEntry.setStatus('current') if mibBuilder.loadTexts: zxr10UnitCommStatEntry.setDescription('An entry to the unit communication info table.') zxr10UnitNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 4, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitNo.setStatus('current') if mibBuilder.loadTexts: zxr10UnitNo.setDescription('the unit no . ') zxr10UnitsndMsgs = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 4, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitsndMsgs.setStatus('current') if mibBuilder.loadTexts: zxr10UnitsndMsgs.setDescription(' the send message packets of the unit. ') zxr10UnitsndBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 4, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitsndBytes.setStatus('current') if mibBuilder.loadTexts: zxr10UnitsndBytes.setDescription(' the message bytes of the unit send. ') zxr10UnitsndByteGigas = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 4, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitsndByteGigas.setStatus('current') if mibBuilder.loadTexts: zxr10UnitsndByteGigas.setDescription(' the message Giga bytes of the unit send. ') zxr10UnitrcvMsgs = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 4, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitrcvMsgs.setStatus('current') if mibBuilder.loadTexts: zxr10UnitrcvMsgs.setDescription(' the received message packets of the unit. ') zxr10UnitrcvBytes = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 4, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitrcvBytes.setStatus('current') if mibBuilder.loadTexts: zxr10UnitrcvBytes.setDescription(' the message bytes of the unit received. ') zxr10UnitrcvByteGigas = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 3, 4, 1, 7), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10UnitrcvByteGigas.setStatus('current') if mibBuilder.loadTexts: zxr10UnitrcvByteGigas.setDescription(' the message giga bytes of the unit received. ') zxr10HardwareEnvironAlarmTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 4, 1), ) if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmTable.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmTable.setDescription('A list of the environment alarm information.') zxr10HardwareEnvironAlarmEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 4, 1, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10HardwareEnvironAlarmSlotNo"), (0, "ZXR10-MIB", "zxr10HardwareEnvironAlarmCode")) if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmEntry.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmEntry.setDescription('An entry to the environ alarm information table.') zxr10HardwareEnvironAlarmRackNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 1, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmRackNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmRackNo.setDescription('the Rack no . ') zxr10HardwareEnvironAlarmShelfNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 1, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmShelfNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmShelfNo.setDescription('the shelf no. ') zxr10HardwareEnvironAlarmSlotNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 1, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmSlotNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmSlotNo.setDescription('the slot no. ') zxr10HardwareEnvironAlarmCode = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 1, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmCode.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmCode.setDescription('the environment alarm code . ') zxr10HardwareEnvironAlarmLevel = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 1, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmLevel.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmLevel.setDescription('the alarm level. ') zxr10HardwareEnvironAlarmTime = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 1, 1, 6), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmTime.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmTime.setDescription('the total running-time after the Router System up when the environment alarm occurred. ') zxr10HardwareEnvironAlarmStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 1, 1, 7), BoolStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmStatus.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmStatus.setDescription('the environ alarm status: (true or 1) RAISED or (false or 0) CLEARED . ') zxr10HardwareEnvironAlarmType = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 1, 1, 8), AlarmType()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmType.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmType.setDescription('the alarm type, here is environ.') zxr10HardwareEnvironAlarmDescrip = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 1, 1, 9), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmDescrip.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareEnvironAlarmDescrip.setDescription('the description string. ') zxr10HardwareBoardAlarmTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 4, 2), ) if mibBuilder.loadTexts: zxr10HardwareBoardAlarmTable.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareBoardAlarmTable.setDescription('A list of the board alarm information.') zxr10HardwareBoardAlarmEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 4, 2, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10HardwareBoardAlarmSlotNo"), (0, "ZXR10-MIB", "zxr10HardwareBoardAlarmCode")) if mibBuilder.loadTexts: zxr10HardwareBoardAlarmEntry.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareBoardAlarmEntry.setDescription('An entry to the board alarm information table.') zxr10HardwareBoardAlarmRackNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 2, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareBoardAlarmRackNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareBoardAlarmRackNo.setDescription('the Rack no . ') zxr10HardwareBoardAlarmShelfNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 2, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareBoardAlarmShelfNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareBoardAlarmShelfNo.setDescription('the shelf no. ') zxr10HardwareBoardAlarmSlotNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 2, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareBoardAlarmSlotNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareBoardAlarmSlotNo.setDescription('the slot no. ') zxr10HardwareBoardAlarmCode = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 2, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareBoardAlarmCode.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareBoardAlarmCode.setDescription('the board alarm code . ') zxr10HardwareBoardAlarmLevel = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 2, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareBoardAlarmLevel.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareBoardAlarmLevel.setDescription('the alarm level. ') zxr10HardwareBoardAlarmTime = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 2, 1, 6), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareBoardAlarmTime.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareBoardAlarmTime.setDescription('the total running-time after the Router System up when the board alarm occurred. ') zxr10HardwareBoardAlarmStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 2, 1, 7), BoolStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareBoardAlarmStatus.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareBoardAlarmStatus.setDescription('the board alarm status: (true or 1) RAISED , (false or 0) CLEARED . ') zxr10HardwareBoardAlarmType = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 2, 1, 8), AlarmType()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareBoardAlarmType.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareBoardAlarmType.setDescription('the alarm type, here is board.') zxr10HardwareBoardAlarmDescrip = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 2, 1, 9), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwareBoardAlarmDescrip.setStatus('current') if mibBuilder.loadTexts: zxr10HardwareBoardAlarmDescrip.setDescription('the description string. ') zxr10HardwarePortAlarmTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 4, 3), ) if mibBuilder.loadTexts: zxr10HardwarePortAlarmTable.setStatus('current') if mibBuilder.loadTexts: zxr10HardwarePortAlarmTable.setDescription('A list of the port alarm information.') zxr10HardwarePortAlarmEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 4, 3, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10HardwarePortAlarmSlotNo"), (0, "ZXR10-MIB", "zxr10HardwarePortAlarmPortNo"), (0, "ZXR10-MIB", "zxr10HardwarePortAlarmCode")) if mibBuilder.loadTexts: zxr10HardwarePortAlarmEntry.setStatus('current') if mibBuilder.loadTexts: zxr10HardwarePortAlarmEntry.setDescription('An entry to the port alarm information table.') zxr10HardwarePortAlarmRackNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 3, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwarePortAlarmRackNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwarePortAlarmRackNo.setDescription('the Rack no . ') zxr10HardwarePortAlarmShelfNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 3, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwarePortAlarmShelfNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwarePortAlarmShelfNo.setDescription('the shelf no. ') zxr10HardwarePortAlarmSlotNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 3, 1, 3), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwarePortAlarmSlotNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwarePortAlarmSlotNo.setDescription('the slot no. ') zxr10HardwarePortAlarmPortNo = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 3, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwarePortAlarmPortNo.setStatus('current') if mibBuilder.loadTexts: zxr10HardwarePortAlarmPortNo.setDescription('the port no. ') zxr10HardwarePortAlarmCode = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 3, 1, 5), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwarePortAlarmCode.setStatus('current') if mibBuilder.loadTexts: zxr10HardwarePortAlarmCode.setDescription('the port alarm code . ') zxr10HardwarePortAlarmLevel = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 3, 1, 6), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwarePortAlarmLevel.setStatus('current') if mibBuilder.loadTexts: zxr10HardwarePortAlarmLevel.setDescription('the alarm level. ') zxr10HardwarePortAlarmTime = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 3, 1, 7), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwarePortAlarmTime.setStatus('current') if mibBuilder.loadTexts: zxr10HardwarePortAlarmTime.setDescription('the total running-time after the Router System up when the port alarm occurred. ') zxr10HardwarePortAlarmStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 3, 1, 8), BoolStatus()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwarePortAlarmStatus.setStatus('current') if mibBuilder.loadTexts: zxr10HardwarePortAlarmStatus.setDescription('the port alarm status: (true or 1) RAISED , (false or 0) CLEARED . ') zxr10HardwarePortAlarmType = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 3, 1, 9), AlarmType()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwarePortAlarmType.setStatus('current') if mibBuilder.loadTexts: zxr10HardwarePortAlarmType.setDescription('the alarm type, here is port.') zxr10HardwarePortAlarmDescrip = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 3, 1, 10), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 64))).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10HardwarePortAlarmDescrip.setStatus('current') if mibBuilder.loadTexts: zxr10HardwarePortAlarmDescrip.setDescription('the description string. ') zxr10SoftProtocolAlarmTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 4, 4), ) if mibBuilder.loadTexts: zxr10SoftProtocolAlarmTable.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmTable.setDescription('A list of the softprotocol alarm information.') zxr10SoftProtocolAlarmEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 4, 4, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10SoftProtocolAlarmSaveCode")) if mibBuilder.loadTexts: zxr10SoftProtocolAlarmEntry.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmEntry.setDescription('An entry to the softprotocol alarm information table.') zxr10SoftProtocolAlarmSaveCode = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 4, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmSaveCode.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmSaveCode.setDescription('the softprotocol alarm code . ') zxr10SoftProtocolAlarmSaveLevel = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 4, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmSaveLevel.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmSaveLevel.setDescription('the alarm level . ') zxr10SoftProtocolAlarmSaveLasttime = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 4, 1, 3), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmSaveLasttime.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmSaveLasttime.setDescription('the total running-time after the Router System up when the latest softprotocol alarm occurred. ') zxr10SoftProtocolAlarmSaveTotaltimes = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 4, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmSaveTotaltimes.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmSaveTotaltimes.setDescription('total times of the softprotocol alarm occurred . ') zxr10SoftProtocolAlarmSaveType = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 4, 1, 5), AlarmType()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10SoftProtocolAlarmSaveType.setStatus('current') if mibBuilder.loadTexts: zxr10SoftProtocolAlarmSaveType.setDescription('the softprotocol alarm sub-type . ') zxr10StatisticsAlarmTable = MibTable((1, 3, 6, 1, 4, 1, 3902, 3, 4, 5), ) if mibBuilder.loadTexts: zxr10StatisticsAlarmTable.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmTable.setDescription('A list of the Statistics alarm information.') zxr10StatisticsAlarmEntry = MibTableRow((1, 3, 6, 1, 4, 1, 3902, 3, 4, 5, 1), ).setIndexNames((0, "ZXR10-MIB", "zxr10StatisticsAlarmSaveCode")) if mibBuilder.loadTexts: zxr10StatisticsAlarmEntry.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmEntry.setDescription('An entry to the Statistics alarm information table.') zxr10StatisticsAlarmSaveCode = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 5, 1, 1), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmSaveCode.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmSaveCode.setDescription('the Statistics alarm code . ') zxr10StatisticsAlarmSaveLevel = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 5, 1, 2), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmSaveLevel.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmSaveLevel.setDescription('the alarm level . ') zxr10StatisticsAlarmSaveLasttime = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 5, 1, 3), TimeTicks()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmSaveLasttime.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmSaveLasttime.setDescription('the total running-time after the Router System up when the latest Statistics alarm occurred. ') zxr10StatisticsAlarmSaveTotaltimes = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 5, 1, 4), Integer32()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmSaveTotaltimes.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmSaveTotaltimes.setDescription('total times of the Statistics alarm occurred . ') zxr10StatisticsAlarmSaveType = MibTableColumn((1, 3, 6, 1, 4, 1, 3902, 3, 4, 5, 1, 5), AlarmType()).setMaxAccess("readonly") if mibBuilder.loadTexts: zxr10StatisticsAlarmSaveType.setStatus('current') if mibBuilder.loadTexts: zxr10StatisticsAlarmSaveType.setDescription('the Statistics alarm sub-type . ') zxr10_objectID = MibIdentifier((1, 3, 6, 1, 4, 1, 3902, 3, 100)).setLabel("zxr10-objectID") zxr10RouterT128SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 1)) if mibBuilder.loadTexts: zxr10RouterT128SysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterT128SysID.setDescription('zxr10 T128 router') zxr10RouterT64SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 2)) if mibBuilder.loadTexts: zxr10RouterT64SysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterT64SysID.setDescription('zxr10 T64 router') zxr10SwitchT32SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 3)) if mibBuilder.loadTexts: zxr10SwitchT32SysID.setStatus('current') if mibBuilder.loadTexts: zxr10SwitchT32SysID.setDescription('zxr10 T32 switch') zxr10RouterGER8SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 5)) if mibBuilder.loadTexts: zxr10RouterGER8SysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterGER8SysID.setDescription('zxr10 ger-8 router') zxr10RouterGAR_2608SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 4)).setLabel("zxr10RouterGAR-2608SysID") if mibBuilder.loadTexts: zxr10RouterGAR_2608SysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterGAR_2608SysID.setDescription('zxr10 GAR 2608 router') zxr10RouterGAR_2604SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 6)).setLabel("zxr10RouterGAR-2604SysID") if mibBuilder.loadTexts: zxr10RouterGAR_2604SysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterGAR_2604SysID.setDescription('zxr10 GAR 2604 router') zxr10SwitchT160GSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 7)) if mibBuilder.loadTexts: zxr10SwitchT160GSysID.setStatus('current') if mibBuilder.loadTexts: zxr10SwitchT160GSysID.setDescription('zxr10 T160G switch') zxr10RouterGAR_3608SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 8)).setLabel("zxr10RouterGAR-3608SysID") if mibBuilder.loadTexts: zxr10RouterGAR_3608SysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterGAR_3608SysID.setDescription('zxr10 GAR 3608 router') zxr10RouterGAR_7208SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 9)).setLabel("zxr10RouterGAR-7208SysID") if mibBuilder.loadTexts: zxr10RouterGAR_7208SysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterGAR_7208SysID.setDescription('zxr10 GAR 7208 router') zxr10SwitchT64GSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 10)) if mibBuilder.loadTexts: zxr10SwitchT64GSysID.setStatus('current') if mibBuilder.loadTexts: zxr10SwitchT64GSysID.setDescription('zxr10 T64G switch') zxr10Switch3206SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 11)) if mibBuilder.loadTexts: zxr10Switch3206SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3206SysID.setDescription('zxr10 3206 switch') zxr10Switch3906SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 12)) if mibBuilder.loadTexts: zxr10Switch3906SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3906SysID.setDescription('zxr10 3906 switch') zxr10Switch3228SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 13)) if mibBuilder.loadTexts: zxr10Switch3228SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3228SysID.setDescription('zxr10 3228 switch') zxr10Switch3928SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 14)) if mibBuilder.loadTexts: zxr10Switch3928SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3928SysID.setDescription('zxr10 3928 switch') zxr10Switch3252SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 15)) if mibBuilder.loadTexts: zxr10Switch3252SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3252SysID.setDescription('zxr10 3252 switch') zxr10Switch3952SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 16)) if mibBuilder.loadTexts: zxr10Switch3952SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3952SysID.setDescription('zxr10 3952 switch') zxr10Switch5224SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 17)) if mibBuilder.loadTexts: zxr10Switch5224SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch5224SysID.setDescription('zxr10 5224 switch') zxr10Switch5228SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 18)) if mibBuilder.loadTexts: zxr10Switch5228SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch5228SysID.setDescription('zxr10 5228 switch') zxr10Switch5228FSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 19)) if mibBuilder.loadTexts: zxr10Switch5228FSysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch5228FSysID.setDescription('zxr10 5228F switch') zxr10Switch5928SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 20)) if mibBuilder.loadTexts: zxr10Switch5928SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch5928SysID.setDescription('zxr10 5928 switch') zxr10Switch5928FSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 21)) if mibBuilder.loadTexts: zxr10Switch5928FSysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch5928FSysID.setDescription('zxr10 5928F switch') zxr10Switch5252SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 22)) if mibBuilder.loadTexts: zxr10Switch5252SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch5252SysID.setDescription('zxr10 5252 switch') zxr10Switch5952SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 23)) if mibBuilder.loadTexts: zxr10Switch5952SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch5952SysID.setDescription('zxr10 5952 switch') zxr10Switch3226SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 24)) if mibBuilder.loadTexts: zxr10Switch3226SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3226SysID.setDescription('zxr10 3226 switch') zxr10SwitchT40GSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 25)) if mibBuilder.loadTexts: zxr10SwitchT40GSysID.setStatus('current') if mibBuilder.loadTexts: zxr10SwitchT40GSysID.setDescription('zxr10 T40G switch') zxr10RouterT1200SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 26)) if mibBuilder.loadTexts: zxr10RouterT1200SysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterT1200SysID.setDescription('zxr10 T1200 router') zxr10RouterT600SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 27)) if mibBuilder.loadTexts: zxr10RouterT600SysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterT600SysID.setDescription('zxr10 T600 router') zxr10RouterGER2SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 28)) if mibBuilder.loadTexts: zxr10RouterGER2SysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterGER2SysID.setDescription('zxr10 ger-2 router') zxr10RouterGER4SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 29)) if mibBuilder.loadTexts: zxr10RouterGER4SysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterGER4SysID.setDescription('zxr10 ger-4 router') zxr10Switch3226FISysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 30)) if mibBuilder.loadTexts: zxr10Switch3226FISysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3226FISysID.setDescription('zxr10 3226FI switch') zxr10Switch3928ASysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 31)) if mibBuilder.loadTexts: zxr10Switch3928ASysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3928ASysID.setDescription('zxr10 3900A switch') zxr10Switch3928AFISysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 32)) if mibBuilder.loadTexts: zxr10Switch3928AFISysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3928AFISysID.setDescription('zxr10 3928A switch') zxr10Switch3952ASysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 33)) if mibBuilder.loadTexts: zxr10Switch3952ASysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3952ASysID.setDescription('zxr10 3952A switch') zxr10Switch3228A_EISysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 34)).setLabel("zxr10Switch3228A-EISysID") if mibBuilder.loadTexts: zxr10Switch3228A_EISysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3228A_EISysID.setDescription('zxr10 3228A-EI switch') zxr10Switch3228ASysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 35)) if mibBuilder.loadTexts: zxr10Switch3228ASysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3228ASysID.setDescription('zxr10 3228A switch') zxr10Switch3228A_FISysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 36)).setLabel("zxr10Switch3228A-FISysID") if mibBuilder.loadTexts: zxr10Switch3228A_FISysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3228A_FISysID.setDescription('zxr10 3228A-FI switch') zxr10Switch3252ASysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 37)) if mibBuilder.loadTexts: zxr10Switch3252ASysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3252ASysID.setDescription('zxr10 3252A switch') zxr10Switch5228ASysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 38)) if mibBuilder.loadTexts: zxr10Switch5228ASysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch5228ASysID.setDescription('zxr10 5228A switch') zxr10Switch5252ASysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 39)) if mibBuilder.loadTexts: zxr10Switch5252ASysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch5252ASysID.setDescription('zxr10 5252A switch') zxr10Switch5928ESysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 40)) if mibBuilder.loadTexts: zxr10Switch5928ESysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch5928ESysID.setDescription('zxr10 5928E switch') zxr10Switch5928E_FISysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 41)).setLabel("zxr10Switch5928E-FISysID") if mibBuilder.loadTexts: zxr10Switch5928E_FISysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch5928E_FISysID.setDescription('zxr10 5928E-FI switch') zxr10Switch3952ESysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 42)) if mibBuilder.loadTexts: zxr10Switch3952ESysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3952ESysID.setDescription('zxr10 3952E switch') zxr10Switch5952ESysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 43)) if mibBuilder.loadTexts: zxr10Switch5952ESysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch5952ESysID.setDescription('zxr10 5952E switch') zxr10RouterR10_1822_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 100)).setLabel("zxr10RouterR10-1822-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_1822_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1822_ACSysID.setDescription('zxr10 GAR 1822-AC router') zxr10RouterR10_1822_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 101)).setLabel("zxr10RouterR10-1822-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_1822_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1822_DCSysID.setDescription('zxr10 GAR 1822-DC router') zxr10RouterR10_1821_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 102)).setLabel("zxr10RouterR10-1821-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_1821_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1821_ACSysID.setDescription('zxr10 GAR 1821-AC router') zxr10RouterR10_1821_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 103)).setLabel("zxr10RouterR10-1821-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_1821_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1821_DCSysID.setDescription('zxr10 GAR 1821-DC router') zxr10RouterR10_1812_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 104)).setLabel("zxr10RouterR10-1812-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_1812_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1812_ACSysID.setDescription('zxr10 GAR 1821-AC router') zxr10RouterR10_1812_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 105)).setLabel("zxr10RouterR10-1812-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_1812_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1812_DCSysID.setDescription('zxr10 GAR 1812-DC router') zxr10RouterR10_1811_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 106)).setLabel("zxr10RouterR10-1811-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_1811_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1811_ACSysID.setDescription('zxr10 GAR 1811-AC router') zxr10RouterR10_1811_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 107)).setLabel("zxr10RouterR10-1811-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_1811_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1811_DCSysID.setDescription('zxr10 GAR 1811-DC router') zxr10RouterR10_1822E_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 108)).setLabel("zxr10RouterR10-1822E-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_1822E_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1822E_ACSysID.setDescription('zxr10 GAR 1822E-AC router') zxr10RouterR10_1822E_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 109)).setLabel("zxr10RouterR10-1822E-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_1822E_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1822E_DCSysID.setDescription('zxr10 GAR 1822E-DC router') zxr10RouterR10_1821E_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 110)).setLabel("zxr10RouterR10-1821E-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_1821E_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1821E_ACSysID.setDescription('zxr10 GAR 1821E-AC router') zxr10RouterR10_1821E_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 111)).setLabel("zxr10RouterR10-1821E-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_1821E_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1821E_DCSysID.setDescription('zxr10 GAR 1821E-DC router') zxr10RouterR10_1812E_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 112)).setLabel("zxr10RouterR10-1812E-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_1812E_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1812E_ACSysID.setDescription('zxr10 GAR 1812E-AC router') zxr10RouterR10_1812E_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 113)).setLabel("zxr10RouterR10-1812E-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_1812E_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1812E_DCSysID.setDescription('zxr10 GAR 1812E-DC router') zxr10RouterR10_1811E_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 114)).setLabel("zxr10RouterR10-1811E-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_1811E_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1811E_ACSysID.setDescription('zxr10 GAR 1811E-AC router') zxr10RouterR10_1811E_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 115)).setLabel("zxr10RouterR10-1811E-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_1811E_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1811E_DCSysID.setDescription('zxr10 GAR 1811E-DC router') zxr10RouterR10_3881_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 132)).setLabel("zxr10RouterR10-3881-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_3881_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3881_ACSysID.setDescription('zxr10 GAR 3881-AC router') zxr10RouterR10_3882_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 133)).setLabel("zxr10RouterR10-3882-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_3882_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3882_ACSysID.setDescription('zxr10 GAR 3882-AC router') zxr10RouterR10_3883_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 134)).setLabel("zxr10RouterR10-3883-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_3883_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3883_ACSysID.setDescription('zxr10 GAR 3883-AC router') zxr10RouterR10_3884_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 135)).setLabel("zxr10RouterR10-3884-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_3884_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3884_ACSysID.setDescription('zxr10 GAR 3884-AC router') zxr10RouterR10_3881_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 136)).setLabel("zxr10RouterR10-3881-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_3881_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3881_DCSysID.setDescription('zxr10 GAR 3881-DC router') zxr10RouterR10_3882_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 137)).setLabel("zxr10RouterR10-3882-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_3882_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3882_DCSysID.setDescription('zxr10 GAR 3882-DC router') zxr10RouterR10_3883_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 138)).setLabel("zxr10RouterR10-3883-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_3883_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3883_DCSysID.setDescription('zxr10 GAR 3883-DC router') zxr10RouterR10_3884_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 139)).setLabel("zxr10RouterR10-3884-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_3884_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3884_DCSysID.setDescription('zxr10 GAR 3884-DC router') zxr10RouterR10_3841_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 140)).setLabel("zxr10RouterR10-3841-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_3841_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3841_ACSysID.setDescription('zxr10 GAR 3841-AC router') zxr10RouterR10_3842_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 141)).setLabel("zxr10RouterR10-3842-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_3842_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3842_ACSysID.setDescription('zxr10 GAR 3842-AC router') zxr10RouterR10_3843_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 142)).setLabel("zxr10RouterR10-3843-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_3843_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3843_ACSysID.setDescription('zxr10 GAR 3843-AC router') zxr10RouterR10_3844_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 143)).setLabel("zxr10RouterR10-3844-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_3844_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3844_ACSysID.setDescription('zxr10 GAR 3844-AC router') zxr10RouterR10_3841_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 144)).setLabel("zxr10RouterR10-3841-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_3841_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3841_DCSysID.setDescription('zxr10 GAR 3841-DC router') zxr10RouterR10_3842_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 145)).setLabel("zxr10RouterR10-3842-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_3842_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3842_DCSysID.setDescription('zxr10 GAR 3842-DC router') zxr10RouterR10_3843_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 146)).setLabel("zxr10RouterR10-3843-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_3843_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3843_DCSysID.setDescription('zxr10 GAR 3843-DC router') zxr10RouterR10_3844_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 147)).setLabel("zxr10RouterR10-3844-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_3844_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3844_DCSysID.setDescription('zxr10 GAR 3844-DC router') zxr10RouterR10_3821_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 148)).setLabel("zxr10RouterR10-3821-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_3821_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3821_ACSysID.setDescription('zxr10 GAR 3821-AC router') zxr10RouterR10_3822_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 149)).setLabel("zxr10RouterR10-3822-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_3822_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3822_ACSysID.setDescription('zxr10 GAR 3822-AC router') zxr10RouterR10_3823_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 150)).setLabel("zxr10RouterR10-3823-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_3823_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3823_ACSysID.setDescription('zxr10 GAR 3823-AC router') zxr10RouterR10_3824_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 151)).setLabel("zxr10RouterR10-3824-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_3824_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3824_ACSysID.setDescription('zxr10 GAR 3824-AC router') zxr10RouterR10_3821_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 152)).setLabel("zxr10RouterR10-3821-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_3821_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3821_DCSysID.setDescription('zxr10 GAR 3821-DC router') zxr10RouterR10_3822_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 153)).setLabel("zxr10RouterR10-3822-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_3822_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3822_DCSysID.setDescription('zxr10 GAR 3822-DC router') zxr10RouterR10_3823_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 154)).setLabel("zxr10RouterR10-3823-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_3823_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3823_DCSysID.setDescription('zxr10 GAR 3823-DC router') zxr10RouterR10_3824_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 155)).setLabel("zxr10RouterR10-3824-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_3824_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_3824_DCSysID.setDescription('zxr10 GAR 3824-DC router') zxr10RouterR10_2841_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 172)).setLabel("zxr10RouterR10-2841-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_2841_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2841_ACSysID.setDescription('zxr10 GAR 2841-AC router') zxr10RouterR10_2842_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 173)).setLabel("zxr10RouterR10-2842-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_2842_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2842_ACSysID.setDescription('zxr10 GAR 2842-AC router') zxr10RouterR10_2843_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 174)).setLabel("zxr10RouterR10-2843-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_2843_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2843_ACSysID.setDescription('zxr10 GAR 2843-AC router') zxr10RouterR10_2844_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 175)).setLabel("zxr10RouterR10-2844-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_2844_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2844_ACSysID.setDescription('zxr10 GAR 2844-AC router') zxr10RouterR10_2841_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 176)).setLabel("zxr10RouterR10-2841-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_2841_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2841_DCSysID.setDescription('zxr10 GAR 2841-DC router') zxr10RouterR10_2842_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 177)).setLabel("zxr10RouterR10-2842-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_2842_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2842_DCSysID.setDescription('zxr10 GAR 2842-DC router') zxr10RouterR10_2843_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 178)).setLabel("zxr10RouterR10-2843-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_2843_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2843_DCSysID.setDescription('zxr10 GAR 2843-DC router') zxr10RouterR10_2844_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 179)).setLabel("zxr10RouterR10-2844-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_2844_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2844_DCSysID.setDescription('zxr10 GAR 2844-DC router') zxr10RouterR10_2881_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 180)).setLabel("zxr10RouterR10-2881-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_2881_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2881_ACSysID.setDescription('zxr10 GAR 2881-AC router') zxr10RouterR10_2882_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 181)).setLabel("zxr10RouterR10-2882-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_2882_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2882_ACSysID.setDescription('zxr10 GAR 2882-AC router') zxr10RouterR10_2883_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 182)).setLabel("zxr10RouterR10-2883-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_2883_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2883_ACSysID.setDescription('zxr10 GAR 2883-AC router') zxr10RouterR10_2884_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 183)).setLabel("zxr10RouterR10-2884-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_2884_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2884_ACSysID.setDescription('zxr10 GAR 2884-AC router') zxr10RouterR10_2881_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 184)).setLabel("zxr10RouterR10-2881-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_2881_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2881_DCSysID.setDescription('zxr10 GAR 2881-DC router') zxr10RouterR10_2882_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 185)).setLabel("zxr10RouterR10-2882-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_2882_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2882_DCSysID.setDescription('zxr10 GAR 2882-DC router') zxr10RouterR10_2883_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 186)).setLabel("zxr10RouterR10-2883-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_2883_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2883_DCSysID.setDescription('zxr10 GAR 2883-DC router') zxr10RouterR10_2884_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 187)).setLabel("zxr10RouterR10-2884-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_2884_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2884_DCSysID.setDescription('zxr10 GAR 2884-DC router') zxr10RouterR10_2821_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 188)).setLabel("zxr10RouterR10-2821-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_2821_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2821_ACSysID.setDescription('zxr10 GAR 2821-AC router') zxr10RouterR10_2822_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 189)).setLabel("zxr10RouterR10-2822-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_2822_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2822_ACSysID.setDescription('zxr10 GAR 2822-AC router') zxr10RouterR10_2823_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 190)).setLabel("zxr10RouterR10-2823-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_2823_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2823_ACSysID.setDescription('zxr10 GAR 2823-AC router') zxr10RouterR10_2824_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 191)).setLabel("zxr10RouterR10-2824-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_2824_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2824_ACSysID.setDescription('zxr10 GAR 2824-AC router') zxr10RouterR10_2821_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 192)).setLabel("zxr10RouterR10-2821-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_2821_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2821_DCSysID.setDescription('zxr10 GAR 2821-DC router') zxr10RouterR10_2822_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 193)).setLabel("zxr10RouterR10-2822-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_2822_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2822_DCSysID.setDescription('zxr10 GAR 2822-DC router') zxr10RouterR10_2823_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 194)).setLabel("zxr10RouterR10-2823-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_2823_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2823_DCSysID.setDescription('zxr10 GAR 2823-DC router') zxr10RouterR10_2824_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 195)).setLabel("zxr10RouterR10-2824-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_2824_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_2824_DCSysID.setDescription('zxr10 GAR 2824-DC router') zxr10RouterR10_1841_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 196)).setLabel("zxr10RouterR10-1841-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_1841_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1841_ACSysID.setDescription('zxr10 GAR 1841-AC router') zxr10RouterR10_1842_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 197)).setLabel("zxr10RouterR10-1842-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_1842_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1842_ACSysID.setDescription('zxr10 GAR 1842-AC router') zxr10RouterR10_1843_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 198)).setLabel("zxr10RouterR10-1843-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_1843_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1843_ACSysID.setDescription('zxr10 GAR 1843-AC router') zxr10RouterR10_1844_ACSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 199)).setLabel("zxr10RouterR10-1844-ACSysID") if mibBuilder.loadTexts: zxr10RouterR10_1844_ACSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1844_ACSysID.setDescription('zxr10 GAR 1844-AC router') zxr10RouterR10_1841_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 200)).setLabel("zxr10RouterR10-1841-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_1841_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1841_DCSysID.setDescription('zxr10 GAR 1841-DC router') zxr10RouterR10_1842_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 201)).setLabel("zxr10RouterR10-1842-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_1842_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1842_DCSysID.setDescription('zxr10 GAR 1842-DC router') zxr10RouterR10_1843_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 202)).setLabel("zxr10RouterR10-1843-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_1843_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1843_DCSysID.setDescription('zxr10 GAR 1843-DC router') zxr10RouterR10_1844_DCSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 203)).setLabel("zxr10RouterR10-1844-DCSysID") if mibBuilder.loadTexts: zxr10RouterR10_1844_DCSysID.setStatus('current') if mibBuilder.loadTexts: zxr10RouterR10_1844_DCSysID.setDescription('zxr10 GAR 1844-DC router') zxr10Switch_6907SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 400)).setLabel("zxr10Switch-6907SysID") if mibBuilder.loadTexts: zxr10Switch_6907SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch_6907SysID.setDescription('zxr10 6907 switch') zxr10Switch_T240GSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 401)).setLabel("zxr10Switch-T240GSysID") if mibBuilder.loadTexts: zxr10Switch_T240GSysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch_T240GSysID.setDescription('zxr10 T240G switch') zxr10Switch_6902SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 402)).setLabel("zxr10Switch-6902SysID") if mibBuilder.loadTexts: zxr10Switch_6902SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch_6902SysID.setDescription('zxr10 6902 switch') zxr10Switch_6905SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 403)).setLabel("zxr10Switch-6905SysID") if mibBuilder.loadTexts: zxr10Switch_6905SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch_6905SysID.setDescription('zxr10 6905 switch') zxr10Switch_6908SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 404)).setLabel("zxr10Switch-6908SysID") if mibBuilder.loadTexts: zxr10Switch_6908SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch_6908SysID.setDescription('zxr10 6908 switch') zxr10Switch_8902SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 405)).setLabel("zxr10Switch-8902SysID") if mibBuilder.loadTexts: zxr10Switch_8902SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch_8902SysID.setDescription('zxr10 8902 switch') zxr10Switch_8905SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 406)).setLabel("zxr10Switch-8905SysID") if mibBuilder.loadTexts: zxr10Switch_8905SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch_8905SysID.setDescription('zxr10 8905 switch') zxr10Switch_8908SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 407)).setLabel("zxr10Switch-8908SysID") if mibBuilder.loadTexts: zxr10Switch_8908SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch_8908SysID.setDescription('zxr10 8908 switch') zxr10Switch_8912SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 408)).setLabel("zxr10Switch-8912SysID") if mibBuilder.loadTexts: zxr10Switch_8912SysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch_8912SysID.setDescription('zxr10 8912 switch') zxctn_6100SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 409)).setLabel("zxctn-6100SysID") if mibBuilder.loadTexts: zxctn_6100SysID.setStatus('current') if mibBuilder.loadTexts: zxctn_6100SysID.setDescription('zxctn 6100') zxr10Switch5928_PSSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 417)).setLabel("zxr10Switch5928-PSSysID") if mibBuilder.loadTexts: zxr10Switch5928_PSSysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch5928_PSSysID.setDescription('zxr10 5928-PS switch') zxr10Switch3928A_PSSysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 418)).setLabel("zxr10Switch3928A-PSSysID") if mibBuilder.loadTexts: zxr10Switch3928A_PSSysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3928A_PSSysID.setDescription('zxctn 3928A-PS switch') zxr10Switch3928ESysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 419)) if mibBuilder.loadTexts: zxr10Switch3928ESysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3928ESysID.setDescription('zxr10 3928E switch') zxr10Switch3928E_FISysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 420)).setLabel("zxr10Switch3928E-FISysID") if mibBuilder.loadTexts: zxr10Switch3928E_FISysID.setStatus('current') if mibBuilder.loadTexts: zxr10Switch3928E_FISysID.setDescription('zxr10 3928E-FI switch') zxr10UAS10600SysID = ObjectIdentity((1, 3, 6, 1, 4, 1, 3902, 3, 100, 5000)) if mibBuilder.loadTexts: zxr10UAS10600SysID.setStatus('current') if mibBuilder.loadTexts: zxr10UAS10600SysID.setDescription('zxr10 uas10600') mibBuilder.exportSymbols("ZXR10-MIB", zxr10Switch5228SysID=zxr10Switch5228SysID, zxr10RouterR10_2881_ACSysID=zxr10RouterR10_2881_ACSysID, zxr10ShelfNo=zxr10ShelfNo, zxr10RouterR10_2823_DCSysID=zxr10RouterR10_2823_DCSysID, zxr10HardwareAlarmTime=zxr10HardwareAlarmTime, zxr10RouterR10_2823_ACSysID=zxr10RouterR10_2823_ACSysID, zxr10StatisticsAlarmVariableValue=zxr10StatisticsAlarmVariableValue, zxr10SoftProtocolAlarmTrapTable=zxr10SoftProtocolAlarmTrapTable, zxr10Switch3252ASysID=zxr10Switch3252ASysID, zte=zte, zxr10ShelfAvailStatus=zxr10ShelfAvailStatus, zxr10BoardSilkLabel=zxr10BoardSilkLabel, zxr10Switch3252SysID=zxr10Switch3252SysID, zxr10HardwareEnvironAlarmSlotNo=zxr10HardwareEnvironAlarmSlotNo, zxr10RouterR10_3884_ACSysID=zxr10RouterR10_3884_ACSysID, zxr10Switch3228A_EISysID=zxr10Switch3228A_EISysID, zxr10HardwareAlarmDescrip=zxr10HardwareAlarmDescrip, zxr10UnitPidTimerUnnamedUsed=zxr10UnitPidTimerUnnamedUsed, zxr10SoftProtocolAlarmSaveTotaltimes=zxr10SoftProtocolAlarmSaveTotaltimes, zxr10HardwareAlarmType=zxr10HardwareAlarmType, zxr10camSize=zxr10camSize, zxr10RouterR10_3823_ACSysID=zxr10RouterR10_3823_ACSysID, OperStatus=OperStatus, zxr10SoftProtocolAlarmTrapEntry=zxr10SoftProtocolAlarmTrapEntry, zxr10RouterR10_1822_DCSysID=zxr10RouterR10_1822_DCSysID, zxr10SystemTrapHost=zxr10SystemTrapHost, zxr10RouterR10_1812_ACSysID=zxr10RouterR10_1812_ACSysID, zxr10Switch3906SysID=zxr10Switch3906SysID, zxr10RouterR10_3882_DCSysID=zxr10RouterR10_3882_DCSysID, zxr10SystemCpuUtility5s=zxr10SystemCpuUtility5s, zxr10Switch3228ASysID=zxr10Switch3228ASysID, zxr10RouterR10_1843_DCSysID=zxr10RouterR10_1843_DCSysID, zxr10RouterR10_3882_ACSysID=zxr10RouterR10_3882_ACSysID, zxr10rackEntry=zxr10rackEntry, zxr10RouterGAR_2604SysID=zxr10RouterGAR_2604SysID, zxr10RouterR10_3842_DCSysID=zxr10RouterR10_3842_DCSysID, zxr10SystemCpuUtility1m=zxr10SystemCpuUtility1m, zxr10HardwareEnvironAlarmTable=zxr10HardwareEnvironAlarmTable, PidUsedStatus=PidUsedStatus, zxr10HardwareBoardAlarmEntry=zxr10HardwareBoardAlarmEntry, zxr10RouterGAR_2608SysID=zxr10RouterGAR_2608SysID, zxr10Switch_8902SysID=zxr10Switch_8902SysID, zxr10portTable=zxr10portTable, BoolStatus=BoolStatus, zxr10SystemUnitRunStatus=zxr10SystemUnitRunStatus, zxr10HardwareEnvironAlarmType=zxr10HardwareEnvironAlarmType, zxr10RouterR10_2824_DCSysID=zxr10RouterR10_2824_DCSysID, zxr10SoftProtocolAlarmSaveLasttime=zxr10SoftProtocolAlarmSaveLasttime, zxr10SwitchT40GSysID=zxr10SwitchT40GSysID, zxr10rack=zxr10rack, zxr10UnitPidCpuOccupanTime=zxr10UnitPidCpuOccupanTime, zxr10HardwareBoardAlarmTime=zxr10HardwareBoardAlarmTime, zxr10RouterR10_1843_ACSysID=zxr10RouterR10_1843_ACSysID, ProductID=ProductID, zxr10RouterR10_2843_DCSysID=zxr10RouterR10_2843_DCSysID, zxr10HardwareEnvironAlarmLevel=zxr10HardwareEnvironAlarmLevel, zxr10UnitPidAsyQuenBlocked=zxr10UnitPidAsyQuenBlocked, zxr10HardwareEnvironAlarmRackNo=zxr10HardwareEnvironAlarmRackNo, zxr10UnitsndByteGigas=zxr10UnitsndByteGigas, zxr10HardwareAlarmLevel=zxr10HardwareAlarmLevel, zxr10StatisticsAlarmEntry=zxr10StatisticsAlarmEntry, zxr10SoftProtocolAlarmEntry=zxr10SoftProtocolAlarmEntry, zxr10RouterR10_1811E_DCSysID=zxr10RouterR10_1811E_DCSysID, zxr10RouterT64SysID=zxr10RouterT64SysID, zxr10Switch_T240GSysID=zxr10Switch_T240GSysID, zxr10UAS10600SysID=zxr10UAS10600SysID, AvailStatus=AvailStatus, zxr10UnitPidPrio=zxr10UnitPidPrio, PortProperty=PortProperty, zxr10Switch5928_PSSysID=zxr10Switch5928_PSSysID, zxr10HardwareBoardAlarmShelfNo=zxr10HardwareBoardAlarmShelfNo, zxr10Switch5952ESysID=zxr10Switch5952ESysID, zxr10SystemCpuUtility2m=zxr10SystemCpuUtility2m, zxr10StatisticsAlarmShelfNo=zxr10StatisticsAlarmShelfNo, zxr10Switch3928ASysID=zxr10Switch3928ASysID, AlarmType=AlarmType, zxr10SoftProtocolAlarmShelfNo=zxr10SoftProtocolAlarmShelfNo, zxr10_statistics=zxr10_statistics, zxr10HardwareBoardAlarmLevel=zxr10HardwareBoardAlarmLevel, zxr10RouterR10_1822E_DCSysID=zxr10RouterR10_1822E_DCSysID, zxr10SystemUnitUpTime=zxr10SystemUnitUpTime, ShelfAttrib=ShelfAttrib, zxr10UnitPidSynQuenMsgMax=zxr10UnitPidSynQuenMsgMax, zxr10StatisticsAlarmSaveTotaltimes=zxr10StatisticsAlarmSaveTotaltimes, zxr10HardwarePortAlarmCode=zxr10HardwarePortAlarmCode, zxr10RouterR10_2841_DCSysID=zxr10RouterR10_2841_DCSysID, zxr10StatisticsAlarmSaveLasttime=zxr10StatisticsAlarmSaveLasttime, zxr10SystemUnitPidNum=zxr10SystemUnitPidNum, zxr10RouterR10_2824_ACSysID=zxr10RouterR10_2824_ACSysID, zxr10PortProperty=zxr10PortProperty, zxr10HardwareEnvironAlarmCode=zxr10HardwareEnvironAlarmCode, zxr10Switch_6907SysID=zxr10Switch_6907SysID, zxr10RouterT1200SysID=zxr10RouterT1200SysID, zxr10RouterR10_1812E_ACSysID=zxr10RouterR10_1812E_ACSysID, zxr10Switch5228ASysID=zxr10Switch5228ASysID, zxr10StatisticsAlarmTime=zxr10StatisticsAlarmTime, zxr10HardwareBoardAlarmCode=zxr10HardwareBoardAlarmCode, zxr10UnitPidStackSize=zxr10UnitPidStackSize, zxr10RackAttrib=zxr10RackAttrib, zxr10StatisticsAlarmTrapTable=zxr10StatisticsAlarmTrapTable, zxr10RouterR10_3843_DCSysID=zxr10RouterR10_3843_DCSysID, zxr10SoftProtocolAlarmStatus=zxr10SoftProtocolAlarmStatus, zxr10Switch5928E_FISysID=zxr10Switch5928E_FISysID, zxr10RouterR10_1844_ACSysID=zxr10RouterR10_1844_ACSysID, zxr10StatisticsAlarmSaveLevel=zxr10StatisticsAlarmSaveLevel, zxr10HardwareEnvironAlarmDescrip=zxr10HardwareEnvironAlarmDescrip, zxr10RouterR10_2884_ACSysID=zxr10RouterR10_2884_ACSysID, zxr10shelfTable=zxr10shelfTable, zxr10UnitPidAsyQuenRecTimeouts=zxr10UnitPidAsyQuenRecTimeouts, zxr10SystemDeviceType=zxr10SystemDeviceType, zxr10AlarmTrap=zxr10AlarmTrap, zxr10HardwarePortAlarmLevel=zxr10HardwarePortAlarmLevel, zxr10UnitPidAsyQuenUsed=zxr10UnitPidAsyQuenUsed, zxr10HardwareAlarmRackNo=zxr10HardwareAlarmRackNo, zxr10SoftProtocolAlarmSaveType=zxr10SoftProtocolAlarmSaveType, zxr10RouterR10_3821_ACSysID=zxr10RouterR10_3821_ACSysID, zxr10RouterR10_2883_DCSysID=zxr10RouterR10_2883_DCSysID, zxr10SlotOperStatus=zxr10SlotOperStatus, zxr10SystemMemSize=zxr10SystemMemSize, zxctn_6100SysID=zxctn_6100SysID, zxr10PCBVersion=zxr10PCBVersion, zxr10UnitPidSynQuenUsed=zxr10UnitPidSynQuenUsed, zxr10RouterR10_1811E_ACSysID=zxr10RouterR10_1811E_ACSysID, zxr10SystemHostAttr=zxr10SystemHostAttr, zxr10RouterR10_3841_ACSysID=zxr10RouterR10_3841_ACSysID, zxr10RouterR10_3824_ACSysID=zxr10RouterR10_3824_ACSysID, zxr10RouterR10_3844_DCSysID=zxr10RouterR10_3844_DCSysID, zxr10RouterR10_1842_DCSysID=zxr10RouterR10_1842_DCSysID, zxr10Switch3928SysID=zxr10Switch3928SysID, zxr10UnitPidNo=zxr10UnitPidNo, zxr10HardwareAlarmSlotNo=zxr10HardwareAlarmSlotNo, zxr10UnitPidSynQuenSendTimeouts=zxr10UnitPidSynQuenSendTimeouts, zxr10UnitrcvByteGigas=zxr10UnitrcvByteGigas, NpcType=NpcType, zxr10RouterR10_3881_ACSysID=zxr10RouterR10_3881_ACSysID, zxr10Switch5952SysID=zxr10Switch5952SysID, zxr10RouterR10_3823_DCSysID=zxr10RouterR10_3823_DCSysID, zxr10SoftProtocolAlarmSaveCode=zxr10SoftProtocolAlarmSaveCode, zxr10SystemMemUsed=zxr10SystemMemUsed, zxr10StatisticsAlarmLevel=zxr10StatisticsAlarmLevel, PortWorkingType=PortWorkingType, zxr10RouterR10_2821_ACSysID=zxr10RouterR10_2821_ACSysID, zxr10HardwareAlarmPortNo=zxr10HardwareAlarmPortNo, zxr10RouterR10_3843_ACSysID=zxr10RouterR10_3843_ACSysID, zxr10RouterGER4SysID=zxr10RouterGER4SysID, zxr10StatisticsAlarmValueFallingThreshold=zxr10StatisticsAlarmValueFallingThreshold, zxr10SoftProtocolAlarmSlotNo=zxr10SoftProtocolAlarmSlotNo, zxr10PortOperStatus=zxr10PortOperStatus, zxr10StatisticsAlarmStatus=zxr10StatisticsAlarmStatus, zxr10RouterR10_1812_DCSysID=zxr10RouterR10_1812_DCSysID, zxr10RouterR10_2842_ACSysID=zxr10RouterR10_2842_ACSysID, zxr10portEntry=zxr10portEntry, zxr10RouterR10_2844_DCSysID=zxr10RouterR10_2844_DCSysID, zxr10HardwareAlarmTrapTable=zxr10HardwareAlarmTrapTable, zxr10UnitsndMsgs=zxr10UnitsndMsgs, zxr10Switch5928FSysID=zxr10Switch5928FSysID, zxr10StatisticsAlarmDescrip=zxr10StatisticsAlarmDescrip, zxr10SoftProtocolAlarmCode=zxr10SoftProtocolAlarmCode, zxr10SystemCpuUtility5m=zxr10SystemCpuUtility5m, zxr10StatisticsAlarmRackNo=zxr10StatisticsAlarmRackNo, zxr10HardwarePortAlarmPortNo=zxr10HardwarePortAlarmPortNo, zxr10RouterR10_2822_ACSysID=zxr10RouterR10_2822_ACSysID, zxr10UnitPidEntry=zxr10UnitPidEntry, zxr10Switch3952ESysID=zxr10Switch3952ESysID, zxr10SlotBoardType=zxr10SlotBoardType, zxr10PortType=zxr10PortType, zxr10RouterR10_1842_ACSysID=zxr10RouterR10_1842_ACSysID, zxr10PortDesc=zxr10PortDesc, zxr10UnitPidName=zxr10UnitPidName, zxr10RouterR10_1841_ACSysID=zxr10RouterR10_1841_ACSysID, zxr10PortWorkingType=zxr10PortWorkingType, zxr10HardwareAlarmTrapEntry=zxr10HardwareAlarmTrapEntry, zxr10Switch3928E_FISysID=zxr10Switch3928E_FISysID, zxr10StatisticsAlarmCode=zxr10StatisticsAlarmCode, zxr10SystemUnitIndex=zxr10SystemUnitIndex, zxr10Switch5928ESysID=zxr10Switch5928ESysID, zxr10PortIfIndex=zxr10PortIfIndex, zxr10HardwarePortAlarmType=zxr10HardwarePortAlarmType, zxr10StatisticsAlarmTrapEntry=zxr10StatisticsAlarmTrapEntry, zxr10StatisticsAlarmTrap=zxr10StatisticsAlarmTrap, UnitRunStatus=UnitRunStatus, zxr10HardwareBoardAlarmSlotNo=zxr10HardwareBoardAlarmSlotNo, zxr10RouterR10_2841_ACSysID=zxr10RouterR10_2841_ACSysID, zxr10SlotMasterStatus=zxr10SlotMasterStatus, zxr10RouterR10_2883_ACSysID=zxr10RouterR10_2883_ACSysID, zxr10UnitrcvMsgs=zxr10UnitrcvMsgs, zxr10BootVersion=zxr10BootVersion, zxr10RouterT128SysID=zxr10RouterT128SysID, zxr10Switch3952SysID=zxr10Switch3952SysID, zxr10SystemPeakCpuUtility=zxr10SystemPeakCpuUtility, zxr10RouterGAR_3608SysID=zxr10RouterGAR_3608SysID, zxr10Switch5252ASysID=zxr10Switch5252ASysID, zxr10UnitCommStatEntry=zxr10UnitCommStatEntry, zxr10SoftProtocolAlarmTime=zxr10SoftProtocolAlarmTime, zxr10StatisticsAlarmPortNo=zxr10StatisticsAlarmPortNo, zxr10PortAvailStatus=zxr10PortAvailStatus, zxr10HardwarePortAlarmSlotNo=zxr10HardwarePortAlarmSlotNo, zxr10HardwareAlarmStatus=zxr10HardwareAlarmStatus, zxr10HardwareBoardAlarmStatus=zxr10HardwareBoardAlarmStatus, zxr10Switch3928A_PSSysID=zxr10Switch3928A_PSSysID, zxr10RouterR10_3822_ACSysID=zxr10RouterR10_3822_ACSysID, zxr10PaneNo=zxr10PaneNo, zxr10slotEntry=zxr10slotEntry, zxr10UnitPidTable=zxr10UnitPidTable, zxr10SoftProtocolAlarmRackNo=zxr10SoftProtocolAlarmRackNo, zxr10Switch_6908SysID=zxr10Switch_6908SysID, zxr10SystemID=zxr10SystemID, zxr10SlotAvailStatus=zxr10SlotAvailStatus, zxr10SystemTrapCommunity=zxr10SystemTrapCommunity, zxr10SlaveQDRSRAMSize=zxr10SlaveQDRSRAMSize, zxr10SlotTemperature=zxr10SlotTemperature, zxr10RouterR10_1821E_DCSysID=zxr10RouterR10_1821E_DCSysID, zxr10Switch_8908SysID=zxr10Switch_8908SysID, zxr10Switch3952ASysID=zxr10Switch3952ASysID, zxr10UnitrcvBytes=zxr10UnitrcvBytes, zxr10RouterR10_1822_ACSysID=zxr10RouterR10_1822_ACSysID, zxr10RouterR10_3881_DCSysID=zxr10RouterR10_3881_DCSysID, zxr10Switch3228A_FISysID=zxr10Switch3228A_FISysID, zxr10RouterR10_3883_ACSysID=zxr10RouterR10_3883_ACSysID, zxr10HardwareEnvironAlarmEntry=zxr10HardwareEnvironAlarmEntry, zxr10SystemUnitTable=zxr10SystemUnitTable, zxr10RouterR10_1812E_DCSysID=zxr10RouterR10_1812E_DCSysID, zxr10HardwareEnvironAlarmStatus=zxr10HardwareEnvironAlarmStatus, zxr10SoftProtocolAlarmTable=zxr10SoftProtocolAlarmTable, zxr10SoftProtocolAlarmTrap=zxr10SoftProtocolAlarmTrap, zxr10HardwarePortAlarmTable=zxr10HardwarePortAlarmTable, zxr10RouterR10_1844_DCSysID=zxr10RouterR10_1844_DCSysID, zxr10HardwareEnvironAlarmShelfNo=zxr10HardwareEnvironAlarmShelfNo, zxr10HardwareBoardAlarmRackNo=zxr10HardwareBoardAlarmRackNo, zxr10RouterR10_3841_DCSysID=zxr10RouterR10_3841_DCSysID, zxr10RouterT600SysID=zxr10RouterT600SysID, zxr10SlotNPCType=zxr10SlotNPCType, zxr10RackNo=zxr10RackNo, zxr10Switch5928SysID=zxr10Switch5928SysID, zxr10Switch5224SysID=zxr10Switch5224SysID, zxr10shelfEntry=zxr10shelfEntry, zxr10Switch_6905SysID=zxr10Switch_6905SysID, zxr10SwitchT64GSysID=zxr10SwitchT64GSysID, zxr10UnitPidAsyQuenSendTimeouts=zxr10UnitPidAsyQuenSendTimeouts, zxr10RouterR10_1822E_ACSysID=zxr10RouterR10_1822E_ACSysID, zxr10SwitchT32SysID=zxr10SwitchT32SysID, zxr10RouterR10_3884_DCSysID=zxr10RouterR10_3884_DCSysID, zxr10SystemCpuUtility30s=zxr10SystemCpuUtility30s, zxr10SoftProtocolAlarmSaveLevel=zxr10SoftProtocolAlarmSaveLevel, zxr10RouterR10_2884_DCSysID=zxr10RouterR10_2884_DCSysID, zxr10McodeVer=zxr10McodeVer, MasterStatus=MasterStatus, zxr10RouterGAR_7208SysID=zxr10RouterGAR_7208SysID, zxr10HardwareAlarmCode=zxr10HardwareAlarmCode, zxr10RouterR10_1821E_ACSysID=zxr10RouterR10_1821E_ACSysID, zxr10RouterR10_2882_DCSysID=zxr10RouterR10_2882_DCSysID, zxr10RouterR10_1821_DCSysID=zxr10RouterR10_1821_DCSysID, zxr10RouterR10_1811_DCSysID=zxr10RouterR10_1811_DCSysID, zxr10StatisticsAlarmValueRisingThreshold=zxr10StatisticsAlarmValueRisingThreshold) mibBuilder.exportSymbols("ZXR10-MIB", zxr10HardwareAlarmValueFallingThreshold=zxr10HardwareAlarmValueFallingThreshold, zxr10RouterGER8SysID=zxr10RouterGER8SysID, zxr10SystemEnableSecret=zxr10SystemEnableSecret, zxr10HardwareAlarmVariableValue=zxr10HardwareAlarmVariableValue, zxr10PosInRack=zxr10PosInRack, zxr10RouterR10_2821_DCSysID=zxr10RouterR10_2821_DCSysID, zxr10Switch_8912SysID=zxr10Switch_8912SysID, zxr10RouterR10_3821_DCSysID=zxr10RouterR10_3821_DCSysID, SystemDeviceType=SystemDeviceType, zxr10SystemVersion=zxr10SystemVersion, zxr10RouterR10_3824_DCSysID=zxr10RouterR10_3824_DCSysID, zxr10HardwareAlarmShelfNo=zxr10HardwareAlarmShelfNo, zxr10RouterR10_3842_ACSysID=zxr10RouterR10_3842_ACSysID, zxr10RouterR10_2844_ACSysID=zxr10RouterR10_2844_ACSysID, zxr10MasterQDRSRAMSize=zxr10MasterQDRSRAMSize, zxr10RouterR10_3844_ACSysID=zxr10RouterR10_3844_ACSysID, zxr10UnitPidUsedStatus=zxr10UnitPidUsedStatus, zxr10PortSpeed=zxr10PortSpeed, zxr10Switch3928ESysID=zxr10Switch3928ESysID, zxr10RouterR10_1841_DCSysID=zxr10RouterR10_1841_DCSysID, zxr10StatisticsAlarmSlotNo=zxr10StatisticsAlarmSlotNo, DisplayString=DisplayString, zxr10rackTable=zxr10rackTable, zxr10HardwareAlarmTrap=zxr10HardwareAlarmTrap, zxr10RackAvailStatus=zxr10RackAvailStatus, zxr10HardwarePortAlarmTime=zxr10HardwarePortAlarmTime, zxr10HardwareAlarmValueRisingThreshold=zxr10HardwareAlarmValueRisingThreshold, zxr10=zxr10, zxr10RouterR10_3883_DCSysID=zxr10RouterR10_3883_DCSysID, zxr10HardwareBoardAlarmTable=zxr10HardwareBoardAlarmTable, zxr10RouterR10_2843_ACSysID=zxr10RouterR10_2843_ACSysID, zxr10HardwarePortAlarmRackNo=zxr10HardwarePortAlarmRackNo, zxr10UnitPidInterruptTimes=zxr10UnitPidInterruptTimes, zxr10StatisticsAlarmTable=zxr10StatisticsAlarmTable, zxr10Switch3226FISysID=zxr10Switch3226FISysID, BoardType=BoardType, zxr10Switch3928AFISysID=zxr10Switch3928AFISysID, zxr10UnitPidCalledTimes=zxr10UnitPidCalledTimes, zxr10UnitPidSynQuenRecTimeouts=zxr10UnitPidSynQuenRecTimeouts, zxr10UnitPidTimerNamedUsed=zxr10UnitPidTimerNamedUsed, zxr10SoftProtocolAlarmDescrip=zxr10SoftProtocolAlarmDescrip, zxr10PortMTU=zxr10PortMTU, zxr10ReceiveTick=zxr10ReceiveTick, zxr10SwitchT160GSysID=zxr10SwitchT160GSysID, zxr10systemconfig=zxr10systemconfig, zxr10SystemserialNo=zxr10SystemserialNo, zxr10StatisticsAlarmType=zxr10StatisticsAlarmType, zxr10StatisticsAlarmSaveCode=zxr10StatisticsAlarmSaveCode, zxr10HardwarePortAlarmShelfNo=zxr10HardwarePortAlarmShelfNo, zxr10HardwarePortAlarmStatus=zxr10HardwarePortAlarmStatus, zxr10SlotPortsNumber=zxr10SlotPortsNumber, zxr10Switch_6902SysID=zxr10Switch_6902SysID, zxr10HardwareEnvironAlarmTime=zxr10HardwareEnvironAlarmTime, zxr10SystemDescrip=zxr10SystemDescrip, PortType=PortType, zxr10_objectID=zxr10_objectID, zxr10SoftProtocolAlarmLevel=zxr10SoftProtocolAlarmLevel, zxr10HardwarePortAlarmEntry=zxr10HardwarePortAlarmEntry, zxr10Switch5228FSysID=zxr10Switch5228FSysID, zxr10UnitsndBytes=zxr10UnitsndBytes, zxr10SystemVpnName=zxr10SystemVpnName, zxr10UnitNo=zxr10UnitNo, zxr10HardwarePortAlarmDescrip=zxr10HardwarePortAlarmDescrip, zxr10SubcardMax=zxr10SubcardMax, zxr10Switch_8905SysID=zxr10Switch_8905SysID, zxr10Switch3206SysID=zxr10Switch3206SysID, zxr10RouterR10_3822_DCSysID=zxr10RouterR10_3822_DCSysID, zxr10UnitPidAsyQuenMsgMax=zxr10UnitPidAsyQuenMsgMax, zxr10RouterR10_2881_DCSysID=zxr10RouterR10_2881_DCSysID, zxr10RouterR10_2822_DCSysID=zxr10RouterR10_2822_DCSysID, zxr10PortNo=zxr10PortNo, zxr10SystemUnitEntry=zxr10SystemUnitEntry, HostAttr=HostAttr, zxr10RouterR10_2842_DCSysID=zxr10RouterR10_2842_DCSysID, zxr10FPGAVer=zxr10FPGAVer, zxr10RouterR10_1811_ACSysID=zxr10RouterR10_1811_ACSysID, zxr10StatisticsAlarmSaveType=zxr10StatisticsAlarmSaveType, zxr10RouterR10_1821_ACSysID=zxr10RouterR10_1821_ACSysID, zxr10RouterGER2SysID=zxr10RouterGER2SysID, zxr10UnitCommStatTable=zxr10UnitCommStatTable, zxr10HardwareBoardAlarmType=zxr10HardwareBoardAlarmType, zxr10SoftProtocolAlarmType=zxr10SoftProtocolAlarmType, zxr10Switch3226SysID=zxr10Switch3226SysID, zxr10_alarm=zxr10_alarm, zxr10Switch3228SysID=zxr10Switch3228SysID, zxr10ShelfAttrib=zxr10ShelfAttrib, zxr10UnitPidSynQuenBlocked=zxr10UnitPidSynQuenBlocked, zxr10HardwareBoardAlarmDescrip=zxr10HardwareBoardAlarmDescrip, zxr10slotTable=zxr10slotTable, zxr10RouterR10_2882_ACSysID=zxr10RouterR10_2882_ACSysID, zxr10PortProtocolStatus=zxr10PortProtocolStatus, zxr10Switch5252SysID=zxr10Switch5252SysID)

131.896584

12,577

0.780598

16,250

139,019

6.627015

0.090769

0.071539

0.125194

0.01222

0.435253

0.311285

0.251521

0.196742

0.158224

0.13083

0

0.152103

0.079838

139,019

1,053

12,578

132.021842

0.689744

0.002244

0

0.008746

0

0.013605

0.224834

0.0576

0

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false

0.000972

0.005831

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0.05345

0.000972

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null

0

1

0

null

0

2

778f781ff9cc65cbd0f42226b7afbf7f0c69cc2b

75

py

Python

oj/custom_settings.example.py

gogiluv/testrepo

55e4a905b70a460e74b8116a130b720821eaf2ce

[ "MIT" ]

1

2018-01-28T07:48:13.000Z

oj/custom_settings.example.py

OnlineJudgeNextGeneration/qduoj2

c4889d70850bd91ae7f662c02524d0555b6a3ce7

[ "MIT" ]

null

oj/custom_settings.example.py

OnlineJudgeNextGeneration/qduoj2

c4889d70850bd91ae7f662c02524d0555b6a3ce7

[ "MIT" ]

1

2020-09-29T14:21:27.000Z

# please set your own SECRET_KEY to a long random string # SECRET_KEY = ""

25

56

0.733333

13

75

4.076923

0.846154

0.339623

0

0.2

75

2

57

37.5

0.883333

0.933333

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

5

778fbcef49997f0ef563feb1bdf7e1bde1261eac

62,860

py

Python

sdk/python/pulumi_gcp/compute/route.py

sisisin/pulumi-gcp

af6681d70ea457843409110c1324817fe55f68ad

[ "ECL-2.0", "Apache-2.0" ]

121

2018-06-18T19:16:42.000Z

2022-03-31T06:06:48.000Z

sdk/python/pulumi_gcp/compute/route.py

sisisin/pulumi-gcp

af6681d70ea457843409110c1324817fe55f68ad

[ "ECL-2.0", "Apache-2.0" ]

492

2018-06-22T19:41:03.000Z

2022-03-31T15:33:53.000Z

sdk/python/pulumi_gcp/compute/route.py

sisisin/pulumi-gcp

af6681d70ea457843409110c1324817fe55f68ad

[ "ECL-2.0", "Apache-2.0" ]

43

2018-06-19T01:43:13.000Z

2022-03-23T22:43:37.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['RouteArgs', 'Route'] @pulumi.input_type class RouteArgs: def __init__(__self__, *, dest_range: pulumi.Input[str], network: pulumi.Input[str], description: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, next_hop_gateway: Optional[pulumi.Input[str]] = None, next_hop_ilb: Optional[pulumi.Input[str]] = None, next_hop_instance: Optional[pulumi.Input[str]] = None, next_hop_instance_zone: Optional[pulumi.Input[str]] = None, next_hop_ip: Optional[pulumi.Input[str]] = None, next_hop_vpn_tunnel: Optional[pulumi.Input[str]] = None, priority: Optional[pulumi.Input[int]] = None, project: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None): """ The set of arguments for constructing a Route resource. :param pulumi.Input[str] dest_range: The destination range of outgoing packets that this route applies to. Only IPv4 is supported. :param pulumi.Input[str] network: The network that this route applies to. :param pulumi.Input[str] description: An optional description of this resource. Provide this property when you create the resource. :param pulumi.Input[str] name: Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. :param pulumi.Input[str] next_hop_gateway: URL to a gateway that should handle matching packets. Currently, you can only specify the internet gateway, using a full or partial valid URL: * `https://www.googleapis.com/compute/v1/projects/project/global/gateways/default-internet-gateway` * `projects/project/global/gateways/default-internet-gateway` * `global/gateways/default-internet-gateway` * The string `default-internet-gateway`. :param pulumi.Input[str] next_hop_ilb: The IP address or URL to a forwarding rule of type loadBalancingScheme=INTERNAL that should handle matching packets. With the GA provider you can only specify the forwarding rule as a partial or full URL. For example, the following are all valid values: * 10.128.0.56 * https://www.googleapis.com/compute/v1/projects/project/regions/region/forwardingRules/forwardingRule * regions/region/forwardingRules/forwardingRule When the beta provider, you can also specify the IP address of a forwarding rule from the same VPC or any peered VPC. Note that this can only be used when the destinationRange is a public (non-RFC 1918) IP CIDR range. :param pulumi.Input[str] next_hop_instance: URL to an instance that should handle matching packets. You can specify this as a full or partial URL. For example: * `https://www.googleapis.com/compute/v1/projects/project/zones/zone/instances/instance` * `projects/project/zones/zone/instances/instance` * `zones/zone/instances/instance` * Just the instance name, with the zone in `next_hop_instance_zone`. :param pulumi.Input[str] next_hop_instance_zone: (Optional when `next_hop_instance` is specified) The zone of the instance specified in `next_hop_instance`. Omit if `next_hop_instance` is specified as a URL. :param pulumi.Input[str] next_hop_ip: Network IP address of an instance that should handle matching packets. :param pulumi.Input[str] next_hop_vpn_tunnel: URL to a VpnTunnel that should handle matching packets. :param pulumi.Input[int] priority: The priority of this route. Priority is used to break ties in cases where there is more than one matching route of equal prefix length. In the case of two routes with equal prefix length, the one with the lowest-numbered priority value wins. Default value is 1000. Valid range is 0 through 65535. :param pulumi.Input[str] project: The ID of the project in which the resource belongs. If it is not provided, the provider project is used. :param pulumi.Input[Sequence[pulumi.Input[str]]] tags: A list of instance tags to which this route applies. """ pulumi.set(__self__, "dest_range", dest_range) pulumi.set(__self__, "network", network) if description is not None: pulumi.set(__self__, "description", description) if name is not None: pulumi.set(__self__, "name", name) if next_hop_gateway is not None: pulumi.set(__self__, "next_hop_gateway", next_hop_gateway) if next_hop_ilb is not None: pulumi.set(__self__, "next_hop_ilb", next_hop_ilb) if next_hop_instance is not None: pulumi.set(__self__, "next_hop_instance", next_hop_instance) if next_hop_instance_zone is not None: pulumi.set(__self__, "next_hop_instance_zone", next_hop_instance_zone) if next_hop_ip is not None: pulumi.set(__self__, "next_hop_ip", next_hop_ip) if next_hop_vpn_tunnel is not None: pulumi.set(__self__, "next_hop_vpn_tunnel", next_hop_vpn_tunnel) if priority is not None: pulumi.set(__self__, "priority", priority) if project is not None: pulumi.set(__self__, "project", project) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter(name="destRange") def dest_range(self) -> pulumi.Input[str]: """ The destination range of outgoing packets that this route applies to. Only IPv4 is supported. """ return pulumi.get(self, "dest_range") @dest_range.setter def dest_range(self, value: pulumi.Input[str]): pulumi.set(self, "dest_range", value) @property @pulumi.getter def network(self) -> pulumi.Input[str]: """ The network that this route applies to. """ return pulumi.get(self, "network") @network.setter def network(self, value: pulumi.Input[str]): pulumi.set(self, "network", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ An optional description of this resource. Provide this property when you create the resource. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="nextHopGateway") def next_hop_gateway(self) -> Optional[pulumi.Input[str]]: """ URL to a gateway that should handle matching packets. Currently, you can only specify the internet gateway, using a full or partial valid URL: * `https://www.googleapis.com/compute/v1/projects/project/global/gateways/default-internet-gateway` * `projects/project/global/gateways/default-internet-gateway` * `global/gateways/default-internet-gateway` * The string `default-internet-gateway`. """ return pulumi.get(self, "next_hop_gateway") @next_hop_gateway.setter def next_hop_gateway(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "next_hop_gateway", value) @property @pulumi.getter(name="nextHopIlb") def next_hop_ilb(self) -> Optional[pulumi.Input[str]]: """ The IP address or URL to a forwarding rule of type loadBalancingScheme=INTERNAL that should handle matching packets. With the GA provider you can only specify the forwarding rule as a partial or full URL. For example, the following are all valid values: * 10.128.0.56 * https://www.googleapis.com/compute/v1/projects/project/regions/region/forwardingRules/forwardingRule * regions/region/forwardingRules/forwardingRule When the beta provider, you can also specify the IP address of a forwarding rule from the same VPC or any peered VPC. Note that this can only be used when the destinationRange is a public (non-RFC 1918) IP CIDR range. """ return pulumi.get(self, "next_hop_ilb") @next_hop_ilb.setter def next_hop_ilb(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "next_hop_ilb", value) @property @pulumi.getter(name="nextHopInstance") def next_hop_instance(self) -> Optional[pulumi.Input[str]]: """ URL to an instance that should handle matching packets. You can specify this as a full or partial URL. For example: * `https://www.googleapis.com/compute/v1/projects/project/zones/zone/instances/instance` * `projects/project/zones/zone/instances/instance` * `zones/zone/instances/instance` * Just the instance name, with the zone in `next_hop_instance_zone`. """ return pulumi.get(self, "next_hop_instance") @next_hop_instance.setter def next_hop_instance(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "next_hop_instance", value) @property @pulumi.getter(name="nextHopInstanceZone") def next_hop_instance_zone(self) -> Optional[pulumi.Input[str]]: """ (Optional when `next_hop_instance` is specified) The zone of the instance specified in `next_hop_instance`. Omit if `next_hop_instance` is specified as a URL. """ return pulumi.get(self, "next_hop_instance_zone") @next_hop_instance_zone.setter def next_hop_instance_zone(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "next_hop_instance_zone", value) @property @pulumi.getter(name="nextHopIp") def next_hop_ip(self) -> Optional[pulumi.Input[str]]: """ Network IP address of an instance that should handle matching packets. """ return pulumi.get(self, "next_hop_ip") @next_hop_ip.setter def next_hop_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "next_hop_ip", value) @property @pulumi.getter(name="nextHopVpnTunnel") def next_hop_vpn_tunnel(self) -> Optional[pulumi.Input[str]]: """ URL to a VpnTunnel that should handle matching packets. """ return pulumi.get(self, "next_hop_vpn_tunnel") @next_hop_vpn_tunnel.setter def next_hop_vpn_tunnel(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "next_hop_vpn_tunnel", value) @property @pulumi.getter def priority(self) -> Optional[pulumi.Input[int]]: """ The priority of this route. Priority is used to break ties in cases where there is more than one matching route of equal prefix length. In the case of two routes with equal prefix length, the one with the lowest-numbered priority value wins. Default value is 1000. Valid range is 0 through 65535. """ return pulumi.get(self, "priority") @priority.setter def priority(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "priority", value) @property @pulumi.getter def project(self) -> Optional[pulumi.Input[str]]: """ The ID of the project in which the resource belongs. If it is not provided, the provider project is used. """ return pulumi.get(self, "project") @project.setter def project(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "project", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ A list of instance tags to which this route applies. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @pulumi.input_type class _RouteState: def __init__(__self__, *, description: Optional[pulumi.Input[str]] = None, dest_range: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, network: Optional[pulumi.Input[str]] = None, next_hop_gateway: Optional[pulumi.Input[str]] = None, next_hop_ilb: Optional[pulumi.Input[str]] = None, next_hop_instance: Optional[pulumi.Input[str]] = None, next_hop_instance_zone: Optional[pulumi.Input[str]] = None, next_hop_ip: Optional[pulumi.Input[str]] = None, next_hop_network: Optional[pulumi.Input[str]] = None, next_hop_vpn_tunnel: Optional[pulumi.Input[str]] = None, priority: Optional[pulumi.Input[int]] = None, project: Optional[pulumi.Input[str]] = None, self_link: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None): """ Input properties used for looking up and filtering Route resources. :param pulumi.Input[str] description: An optional description of this resource. Provide this property when you create the resource. :param pulumi.Input[str] dest_range: The destination range of outgoing packets that this route applies to. Only IPv4 is supported. :param pulumi.Input[str] name: Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. :param pulumi.Input[str] network: The network that this route applies to. :param pulumi.Input[str] next_hop_gateway: URL to a gateway that should handle matching packets. Currently, you can only specify the internet gateway, using a full or partial valid URL: * `https://www.googleapis.com/compute/v1/projects/project/global/gateways/default-internet-gateway` * `projects/project/global/gateways/default-internet-gateway` * `global/gateways/default-internet-gateway` * The string `default-internet-gateway`. :param pulumi.Input[str] next_hop_ilb: The IP address or URL to a forwarding rule of type loadBalancingScheme=INTERNAL that should handle matching packets. With the GA provider you can only specify the forwarding rule as a partial or full URL. For example, the following are all valid values: * 10.128.0.56 * https://www.googleapis.com/compute/v1/projects/project/regions/region/forwardingRules/forwardingRule * regions/region/forwardingRules/forwardingRule When the beta provider, you can also specify the IP address of a forwarding rule from the same VPC or any peered VPC. Note that this can only be used when the destinationRange is a public (non-RFC 1918) IP CIDR range. :param pulumi.Input[str] next_hop_instance: URL to an instance that should handle matching packets. You can specify this as a full or partial URL. For example: * `https://www.googleapis.com/compute/v1/projects/project/zones/zone/instances/instance` * `projects/project/zones/zone/instances/instance` * `zones/zone/instances/instance` * Just the instance name, with the zone in `next_hop_instance_zone`. :param pulumi.Input[str] next_hop_instance_zone: (Optional when `next_hop_instance` is specified) The zone of the instance specified in `next_hop_instance`. Omit if `next_hop_instance` is specified as a URL. :param pulumi.Input[str] next_hop_ip: Network IP address of an instance that should handle matching packets. :param pulumi.Input[str] next_hop_network: URL to a Network that should handle matching packets. :param pulumi.Input[str] next_hop_vpn_tunnel: URL to a VpnTunnel that should handle matching packets. :param pulumi.Input[int] priority: The priority of this route. Priority is used to break ties in cases where there is more than one matching route of equal prefix length. In the case of two routes with equal prefix length, the one with the lowest-numbered priority value wins. Default value is 1000. Valid range is 0 through 65535. :param pulumi.Input[str] project: The ID of the project in which the resource belongs. If it is not provided, the provider project is used. :param pulumi.Input[str] self_link: The URI of the created resource. :param pulumi.Input[Sequence[pulumi.Input[str]]] tags: A list of instance tags to which this route applies. """ if description is not None: pulumi.set(__self__, "description", description) if dest_range is not None: pulumi.set(__self__, "dest_range", dest_range) if name is not None: pulumi.set(__self__, "name", name) if network is not None: pulumi.set(__self__, "network", network) if next_hop_gateway is not None: pulumi.set(__self__, "next_hop_gateway", next_hop_gateway) if next_hop_ilb is not None: pulumi.set(__self__, "next_hop_ilb", next_hop_ilb) if next_hop_instance is not None: pulumi.set(__self__, "next_hop_instance", next_hop_instance) if next_hop_instance_zone is not None: pulumi.set(__self__, "next_hop_instance_zone", next_hop_instance_zone) if next_hop_ip is not None: pulumi.set(__self__, "next_hop_ip", next_hop_ip) if next_hop_network is not None: pulumi.set(__self__, "next_hop_network", next_hop_network) if next_hop_vpn_tunnel is not None: pulumi.set(__self__, "next_hop_vpn_tunnel", next_hop_vpn_tunnel) if priority is not None: pulumi.set(__self__, "priority", priority) if project is not None: pulumi.set(__self__, "project", project) if self_link is not None: pulumi.set(__self__, "self_link", self_link) if tags is not None: pulumi.set(__self__, "tags", tags) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ An optional description of this resource. Provide this property when you create the resource. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter(name="destRange") def dest_range(self) -> Optional[pulumi.Input[str]]: """ The destination range of outgoing packets that this route applies to. Only IPv4 is supported. """ return pulumi.get(self, "dest_range") @dest_range.setter def dest_range(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "dest_range", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def network(self) -> Optional[pulumi.Input[str]]: """ The network that this route applies to. """ return pulumi.get(self, "network") @network.setter def network(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "network", value) @property @pulumi.getter(name="nextHopGateway") def next_hop_gateway(self) -> Optional[pulumi.Input[str]]: """ URL to a gateway that should handle matching packets. Currently, you can only specify the internet gateway, using a full or partial valid URL: * `https://www.googleapis.com/compute/v1/projects/project/global/gateways/default-internet-gateway` * `projects/project/global/gateways/default-internet-gateway` * `global/gateways/default-internet-gateway` * The string `default-internet-gateway`. """ return pulumi.get(self, "next_hop_gateway") @next_hop_gateway.setter def next_hop_gateway(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "next_hop_gateway", value) @property @pulumi.getter(name="nextHopIlb") def next_hop_ilb(self) -> Optional[pulumi.Input[str]]: """ The IP address or URL to a forwarding rule of type loadBalancingScheme=INTERNAL that should handle matching packets. With the GA provider you can only specify the forwarding rule as a partial or full URL. For example, the following are all valid values: * 10.128.0.56 * https://www.googleapis.com/compute/v1/projects/project/regions/region/forwardingRules/forwardingRule * regions/region/forwardingRules/forwardingRule When the beta provider, you can also specify the IP address of a forwarding rule from the same VPC or any peered VPC. Note that this can only be used when the destinationRange is a public (non-RFC 1918) IP CIDR range. """ return pulumi.get(self, "next_hop_ilb") @next_hop_ilb.setter def next_hop_ilb(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "next_hop_ilb", value) @property @pulumi.getter(name="nextHopInstance") def next_hop_instance(self) -> Optional[pulumi.Input[str]]: """ URL to an instance that should handle matching packets. You can specify this as a full or partial URL. For example: * `https://www.googleapis.com/compute/v1/projects/project/zones/zone/instances/instance` * `projects/project/zones/zone/instances/instance` * `zones/zone/instances/instance` * Just the instance name, with the zone in `next_hop_instance_zone`. """ return pulumi.get(self, "next_hop_instance") @next_hop_instance.setter def next_hop_instance(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "next_hop_instance", value) @property @pulumi.getter(name="nextHopInstanceZone") def next_hop_instance_zone(self) -> Optional[pulumi.Input[str]]: """ (Optional when `next_hop_instance` is specified) The zone of the instance specified in `next_hop_instance`. Omit if `next_hop_instance` is specified as a URL. """ return pulumi.get(self, "next_hop_instance_zone") @next_hop_instance_zone.setter def next_hop_instance_zone(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "next_hop_instance_zone", value) @property @pulumi.getter(name="nextHopIp") def next_hop_ip(self) -> Optional[pulumi.Input[str]]: """ Network IP address of an instance that should handle matching packets. """ return pulumi.get(self, "next_hop_ip") @next_hop_ip.setter def next_hop_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "next_hop_ip", value) @property @pulumi.getter(name="nextHopNetwork") def next_hop_network(self) -> Optional[pulumi.Input[str]]: """ URL to a Network that should handle matching packets. """ return pulumi.get(self, "next_hop_network") @next_hop_network.setter def next_hop_network(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "next_hop_network", value) @property @pulumi.getter(name="nextHopVpnTunnel") def next_hop_vpn_tunnel(self) -> Optional[pulumi.Input[str]]: """ URL to a VpnTunnel that should handle matching packets. """ return pulumi.get(self, "next_hop_vpn_tunnel") @next_hop_vpn_tunnel.setter def next_hop_vpn_tunnel(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "next_hop_vpn_tunnel", value) @property @pulumi.getter def priority(self) -> Optional[pulumi.Input[int]]: """ The priority of this route. Priority is used to break ties in cases where there is more than one matching route of equal prefix length. In the case of two routes with equal prefix length, the one with the lowest-numbered priority value wins. Default value is 1000. Valid range is 0 through 65535. """ return pulumi.get(self, "priority") @priority.setter def priority(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "priority", value) @property @pulumi.getter def project(self) -> Optional[pulumi.Input[str]]: """ The ID of the project in which the resource belongs. If it is not provided, the provider project is used. """ return pulumi.get(self, "project") @project.setter def project(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "project", value) @property @pulumi.getter(name="selfLink") def self_link(self) -> Optional[pulumi.Input[str]]: """ The URI of the created resource. """ return pulumi.get(self, "self_link") @self_link.setter def self_link(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "self_link", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ A list of instance tags to which this route applies. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "tags", value) class Route(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, description: Optional[pulumi.Input[str]] = None, dest_range: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, network: Optional[pulumi.Input[str]] = None, next_hop_gateway: Optional[pulumi.Input[str]] = None, next_hop_ilb: Optional[pulumi.Input[str]] = None, next_hop_instance: Optional[pulumi.Input[str]] = None, next_hop_instance_zone: Optional[pulumi.Input[str]] = None, next_hop_ip: Optional[pulumi.Input[str]] = None, next_hop_vpn_tunnel: Optional[pulumi.Input[str]] = None, priority: Optional[pulumi.Input[int]] = None, project: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, __props__=None): """ Represents a Route resource. A route is a rule that specifies how certain packets should be handled by the virtual network. Routes are associated with virtual machines by tag, and the set of routes for a particular virtual machine is called its routing table. For each packet leaving a virtual machine, the system searches that virtual machine's routing table for a single best matching route. Routes match packets by destination IP address, preferring smaller or more specific ranges over larger ones. If there is a tie, the system selects the route with the smallest priority value. If there is still a tie, it uses the layer three and four packet headers to select just one of the remaining matching routes. The packet is then forwarded as specified by the next_hop field of the winning route -- either to another virtual machine destination, a virtual machine gateway or a Compute Engine-operated gateway. Packets that do not match any route in the sending virtual machine's routing table will be dropped. A Route resource must have exactly one specification of either nextHopGateway, nextHopInstance, nextHopIp, nextHopVpnTunnel, or nextHopIlb. To get more information about Route, see: * [API documentation](https://cloud.google.com/compute/docs/reference/rest/v1/routes) * How-to Guides * [Using Routes](https://cloud.google.com/vpc/docs/using-routes) ## Example Usage ### Route Basic ```python import pulumi import pulumi_gcp as gcp default_network = gcp.compute.Network("defaultNetwork") default_route = gcp.compute.Route("defaultRoute", dest_range="15.0.0.0/24", network=default_network.name, next_hop_ip="10.132.1.5", priority=100) ``` ### Route Ilb ```python import pulumi import pulumi_gcp as gcp default_network = gcp.compute.Network("defaultNetwork", auto_create_subnetworks=False) default_subnetwork = gcp.compute.Subnetwork("defaultSubnetwork", ip_cidr_range="10.0.1.0/24", region="us-central1", network=default_network.id) hc = gcp.compute.HealthCheck("hc", check_interval_sec=1, timeout_sec=1, tcp_health_check=gcp.compute.HealthCheckTcpHealthCheckArgs( port=80, )) backend = gcp.compute.RegionBackendService("backend", region="us-central1", health_checks=[hc.id]) default_forwarding_rule = gcp.compute.ForwardingRule("defaultForwardingRule", region="us-central1", load_balancing_scheme="INTERNAL", backend_service=backend.id, all_ports=True, network=default_network.name, subnetwork=default_subnetwork.name) route_ilb = gcp.compute.Route("route-ilb", dest_range="0.0.0.0/0", network=default_network.name, next_hop_ilb=default_forwarding_rule.id, priority=2000) ``` ### Route Ilb Vip ```python import pulumi import pulumi_gcp as gcp producer_network = gcp.compute.Network("producerNetwork", auto_create_subnetworks=False, opts=pulumi.ResourceOptions(provider=google_beta)) producer_subnetwork = gcp.compute.Subnetwork("producerSubnetwork", ip_cidr_range="10.0.1.0/24", region="us-central1", network=producer_network.id, opts=pulumi.ResourceOptions(provider=google_beta)) consumer_network = gcp.compute.Network("consumerNetwork", auto_create_subnetworks=False, opts=pulumi.ResourceOptions(provider=google_beta)) consumer_subnetwork = gcp.compute.Subnetwork("consumerSubnetwork", ip_cidr_range="10.0.2.0/24", region="us-central1", network=consumer_network.id, opts=pulumi.ResourceOptions(provider=google_beta)) peering1 = gcp.compute.NetworkPeering("peering1", network=consumer_network.id, peer_network=producer_network.id, opts=pulumi.ResourceOptions(provider=google_beta)) peering2 = gcp.compute.NetworkPeering("peering2", network=producer_network.id, peer_network=consumer_network.id, opts=pulumi.ResourceOptions(provider=google_beta)) hc = gcp.compute.HealthCheck("hc", check_interval_sec=1, timeout_sec=1, tcp_health_check=gcp.compute.HealthCheckTcpHealthCheckArgs( port=80, ), opts=pulumi.ResourceOptions(provider=google_beta)) backend = gcp.compute.RegionBackendService("backend", region="us-central1", health_checks=[hc.id], opts=pulumi.ResourceOptions(provider=google_beta)) default = gcp.compute.ForwardingRule("default", region="us-central1", load_balancing_scheme="INTERNAL", backend_service=backend.id, all_ports=True, network=producer_network.name, subnetwork=producer_subnetwork.name, opts=pulumi.ResourceOptions(provider=google_beta)) route_ilb = gcp.compute.Route("route-ilb", dest_range="0.0.0.0/0", network=consumer_network.name, next_hop_ilb=default.ip_address, priority=2000, tags=[ "tag1", "tag2", ], opts=pulumi.ResourceOptions(provider=google_beta, depends_on=[ peering1, peering2, ])) ``` ## Import Route can be imported using any of these accepted formats ```sh $ pulumi import gcp:compute/route:Route default projects/{{project}}/global/routes/{{name}} ``` ```sh $ pulumi import gcp:compute/route:Route default {{project}}/{{name}} ``` ```sh $ pulumi import gcp:compute/route:Route default {{name}} ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] description: An optional description of this resource. Provide this property when you create the resource. :param pulumi.Input[str] dest_range: The destination range of outgoing packets that this route applies to. Only IPv4 is supported. :param pulumi.Input[str] name: Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. :param pulumi.Input[str] network: The network that this route applies to. :param pulumi.Input[str] next_hop_gateway: URL to a gateway that should handle matching packets. Currently, you can only specify the internet gateway, using a full or partial valid URL: * `https://www.googleapis.com/compute/v1/projects/project/global/gateways/default-internet-gateway` * `projects/project/global/gateways/default-internet-gateway` * `global/gateways/default-internet-gateway` * The string `default-internet-gateway`. :param pulumi.Input[str] next_hop_ilb: The IP address or URL to a forwarding rule of type loadBalancingScheme=INTERNAL that should handle matching packets. With the GA provider you can only specify the forwarding rule as a partial or full URL. For example, the following are all valid values: * 10.128.0.56 * https://www.googleapis.com/compute/v1/projects/project/regions/region/forwardingRules/forwardingRule * regions/region/forwardingRules/forwardingRule When the beta provider, you can also specify the IP address of a forwarding rule from the same VPC or any peered VPC. Note that this can only be used when the destinationRange is a public (non-RFC 1918) IP CIDR range. :param pulumi.Input[str] next_hop_instance: URL to an instance that should handle matching packets. You can specify this as a full or partial URL. For example: * `https://www.googleapis.com/compute/v1/projects/project/zones/zone/instances/instance` * `projects/project/zones/zone/instances/instance` * `zones/zone/instances/instance` * Just the instance name, with the zone in `next_hop_instance_zone`. :param pulumi.Input[str] next_hop_instance_zone: (Optional when `next_hop_instance` is specified) The zone of the instance specified in `next_hop_instance`. Omit if `next_hop_instance` is specified as a URL. :param pulumi.Input[str] next_hop_ip: Network IP address of an instance that should handle matching packets. :param pulumi.Input[str] next_hop_vpn_tunnel: URL to a VpnTunnel that should handle matching packets. :param pulumi.Input[int] priority: The priority of this route. Priority is used to break ties in cases where there is more than one matching route of equal prefix length. In the case of two routes with equal prefix length, the one with the lowest-numbered priority value wins. Default value is 1000. Valid range is 0 through 65535. :param pulumi.Input[str] project: The ID of the project in which the resource belongs. If it is not provided, the provider project is used. :param pulumi.Input[Sequence[pulumi.Input[str]]] tags: A list of instance tags to which this route applies. """ ... @overload def __init__(__self__, resource_name: str, args: RouteArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Represents a Route resource. A route is a rule that specifies how certain packets should be handled by the virtual network. Routes are associated with virtual machines by tag, and the set of routes for a particular virtual machine is called its routing table. For each packet leaving a virtual machine, the system searches that virtual machine's routing table for a single best matching route. Routes match packets by destination IP address, preferring smaller or more specific ranges over larger ones. If there is a tie, the system selects the route with the smallest priority value. If there is still a tie, it uses the layer three and four packet headers to select just one of the remaining matching routes. The packet is then forwarded as specified by the next_hop field of the winning route -- either to another virtual machine destination, a virtual machine gateway or a Compute Engine-operated gateway. Packets that do not match any route in the sending virtual machine's routing table will be dropped. A Route resource must have exactly one specification of either nextHopGateway, nextHopInstance, nextHopIp, nextHopVpnTunnel, or nextHopIlb. To get more information about Route, see: * [API documentation](https://cloud.google.com/compute/docs/reference/rest/v1/routes) * How-to Guides * [Using Routes](https://cloud.google.com/vpc/docs/using-routes) ## Example Usage ### Route Basic ```python import pulumi import pulumi_gcp as gcp default_network = gcp.compute.Network("defaultNetwork") default_route = gcp.compute.Route("defaultRoute", dest_range="15.0.0.0/24", network=default_network.name, next_hop_ip="10.132.1.5", priority=100) ``` ### Route Ilb ```python import pulumi import pulumi_gcp as gcp default_network = gcp.compute.Network("defaultNetwork", auto_create_subnetworks=False) default_subnetwork = gcp.compute.Subnetwork("defaultSubnetwork", ip_cidr_range="10.0.1.0/24", region="us-central1", network=default_network.id) hc = gcp.compute.HealthCheck("hc", check_interval_sec=1, timeout_sec=1, tcp_health_check=gcp.compute.HealthCheckTcpHealthCheckArgs( port=80, )) backend = gcp.compute.RegionBackendService("backend", region="us-central1", health_checks=[hc.id]) default_forwarding_rule = gcp.compute.ForwardingRule("defaultForwardingRule", region="us-central1", load_balancing_scheme="INTERNAL", backend_service=backend.id, all_ports=True, network=default_network.name, subnetwork=default_subnetwork.name) route_ilb = gcp.compute.Route("route-ilb", dest_range="0.0.0.0/0", network=default_network.name, next_hop_ilb=default_forwarding_rule.id, priority=2000) ``` ### Route Ilb Vip ```python import pulumi import pulumi_gcp as gcp producer_network = gcp.compute.Network("producerNetwork", auto_create_subnetworks=False, opts=pulumi.ResourceOptions(provider=google_beta)) producer_subnetwork = gcp.compute.Subnetwork("producerSubnetwork", ip_cidr_range="10.0.1.0/24", region="us-central1", network=producer_network.id, opts=pulumi.ResourceOptions(provider=google_beta)) consumer_network = gcp.compute.Network("consumerNetwork", auto_create_subnetworks=False, opts=pulumi.ResourceOptions(provider=google_beta)) consumer_subnetwork = gcp.compute.Subnetwork("consumerSubnetwork", ip_cidr_range="10.0.2.0/24", region="us-central1", network=consumer_network.id, opts=pulumi.ResourceOptions(provider=google_beta)) peering1 = gcp.compute.NetworkPeering("peering1", network=consumer_network.id, peer_network=producer_network.id, opts=pulumi.ResourceOptions(provider=google_beta)) peering2 = gcp.compute.NetworkPeering("peering2", network=producer_network.id, peer_network=consumer_network.id, opts=pulumi.ResourceOptions(provider=google_beta)) hc = gcp.compute.HealthCheck("hc", check_interval_sec=1, timeout_sec=1, tcp_health_check=gcp.compute.HealthCheckTcpHealthCheckArgs( port=80, ), opts=pulumi.ResourceOptions(provider=google_beta)) backend = gcp.compute.RegionBackendService("backend", region="us-central1", health_checks=[hc.id], opts=pulumi.ResourceOptions(provider=google_beta)) default = gcp.compute.ForwardingRule("default", region="us-central1", load_balancing_scheme="INTERNAL", backend_service=backend.id, all_ports=True, network=producer_network.name, subnetwork=producer_subnetwork.name, opts=pulumi.ResourceOptions(provider=google_beta)) route_ilb = gcp.compute.Route("route-ilb", dest_range="0.0.0.0/0", network=consumer_network.name, next_hop_ilb=default.ip_address, priority=2000, tags=[ "tag1", "tag2", ], opts=pulumi.ResourceOptions(provider=google_beta, depends_on=[ peering1, peering2, ])) ``` ## Import Route can be imported using any of these accepted formats ```sh $ pulumi import gcp:compute/route:Route default projects/{{project}}/global/routes/{{name}} ``` ```sh $ pulumi import gcp:compute/route:Route default {{project}}/{{name}} ``` ```sh $ pulumi import gcp:compute/route:Route default {{name}} ``` :param str resource_name: The name of the resource. :param RouteArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(RouteArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, description: Optional[pulumi.Input[str]] = None, dest_range: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, network: Optional[pulumi.Input[str]] = None, next_hop_gateway: Optional[pulumi.Input[str]] = None, next_hop_ilb: Optional[pulumi.Input[str]] = None, next_hop_instance: Optional[pulumi.Input[str]] = None, next_hop_instance_zone: Optional[pulumi.Input[str]] = None, next_hop_ip: Optional[pulumi.Input[str]] = None, next_hop_vpn_tunnel: Optional[pulumi.Input[str]] = None, priority: Optional[pulumi.Input[int]] = None, project: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = RouteArgs.__new__(RouteArgs) __props__.__dict__["description"] = description if dest_range is None and not opts.urn: raise TypeError("Missing required property 'dest_range'") __props__.__dict__["dest_range"] = dest_range __props__.__dict__["name"] = name if network is None and not opts.urn: raise TypeError("Missing required property 'network'") __props__.__dict__["network"] = network __props__.__dict__["next_hop_gateway"] = next_hop_gateway __props__.__dict__["next_hop_ilb"] = next_hop_ilb __props__.__dict__["next_hop_instance"] = next_hop_instance __props__.__dict__["next_hop_instance_zone"] = next_hop_instance_zone __props__.__dict__["next_hop_ip"] = next_hop_ip __props__.__dict__["next_hop_vpn_tunnel"] = next_hop_vpn_tunnel __props__.__dict__["priority"] = priority __props__.__dict__["project"] = project __props__.__dict__["tags"] = tags __props__.__dict__["next_hop_network"] = None __props__.__dict__["self_link"] = None super(Route, __self__).__init__( 'gcp:compute/route:Route', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, description: Optional[pulumi.Input[str]] = None, dest_range: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, network: Optional[pulumi.Input[str]] = None, next_hop_gateway: Optional[pulumi.Input[str]] = None, next_hop_ilb: Optional[pulumi.Input[str]] = None, next_hop_instance: Optional[pulumi.Input[str]] = None, next_hop_instance_zone: Optional[pulumi.Input[str]] = None, next_hop_ip: Optional[pulumi.Input[str]] = None, next_hop_network: Optional[pulumi.Input[str]] = None, next_hop_vpn_tunnel: Optional[pulumi.Input[str]] = None, priority: Optional[pulumi.Input[int]] = None, project: Optional[pulumi.Input[str]] = None, self_link: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None) -> 'Route': """ Get an existing Route resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] description: An optional description of this resource. Provide this property when you create the resource. :param pulumi.Input[str] dest_range: The destination range of outgoing packets that this route applies to. Only IPv4 is supported. :param pulumi.Input[str] name: Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. :param pulumi.Input[str] network: The network that this route applies to. :param pulumi.Input[str] next_hop_gateway: URL to a gateway that should handle matching packets. Currently, you can only specify the internet gateway, using a full or partial valid URL: * `https://www.googleapis.com/compute/v1/projects/project/global/gateways/default-internet-gateway` * `projects/project/global/gateways/default-internet-gateway` * `global/gateways/default-internet-gateway` * The string `default-internet-gateway`. :param pulumi.Input[str] next_hop_ilb: The IP address or URL to a forwarding rule of type loadBalancingScheme=INTERNAL that should handle matching packets. With the GA provider you can only specify the forwarding rule as a partial or full URL. For example, the following are all valid values: * 10.128.0.56 * https://www.googleapis.com/compute/v1/projects/project/regions/region/forwardingRules/forwardingRule * regions/region/forwardingRules/forwardingRule When the beta provider, you can also specify the IP address of a forwarding rule from the same VPC or any peered VPC. Note that this can only be used when the destinationRange is a public (non-RFC 1918) IP CIDR range. :param pulumi.Input[str] next_hop_instance: URL to an instance that should handle matching packets. You can specify this as a full or partial URL. For example: * `https://www.googleapis.com/compute/v1/projects/project/zones/zone/instances/instance` * `projects/project/zones/zone/instances/instance` * `zones/zone/instances/instance` * Just the instance name, with the zone in `next_hop_instance_zone`. :param pulumi.Input[str] next_hop_instance_zone: (Optional when `next_hop_instance` is specified) The zone of the instance specified in `next_hop_instance`. Omit if `next_hop_instance` is specified as a URL. :param pulumi.Input[str] next_hop_ip: Network IP address of an instance that should handle matching packets. :param pulumi.Input[str] next_hop_network: URL to a Network that should handle matching packets. :param pulumi.Input[str] next_hop_vpn_tunnel: URL to a VpnTunnel that should handle matching packets. :param pulumi.Input[int] priority: The priority of this route. Priority is used to break ties in cases where there is more than one matching route of equal prefix length. In the case of two routes with equal prefix length, the one with the lowest-numbered priority value wins. Default value is 1000. Valid range is 0 through 65535. :param pulumi.Input[str] project: The ID of the project in which the resource belongs. If it is not provided, the provider project is used. :param pulumi.Input[str] self_link: The URI of the created resource. :param pulumi.Input[Sequence[pulumi.Input[str]]] tags: A list of instance tags to which this route applies. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _RouteState.__new__(_RouteState) __props__.__dict__["description"] = description __props__.__dict__["dest_range"] = dest_range __props__.__dict__["name"] = name __props__.__dict__["network"] = network __props__.__dict__["next_hop_gateway"] = next_hop_gateway __props__.__dict__["next_hop_ilb"] = next_hop_ilb __props__.__dict__["next_hop_instance"] = next_hop_instance __props__.__dict__["next_hop_instance_zone"] = next_hop_instance_zone __props__.__dict__["next_hop_ip"] = next_hop_ip __props__.__dict__["next_hop_network"] = next_hop_network __props__.__dict__["next_hop_vpn_tunnel"] = next_hop_vpn_tunnel __props__.__dict__["priority"] = priority __props__.__dict__["project"] = project __props__.__dict__["self_link"] = self_link __props__.__dict__["tags"] = tags return Route(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def description(self) -> pulumi.Output[Optional[str]]: """ An optional description of this resource. Provide this property when you create the resource. """ return pulumi.get(self, "description") @property @pulumi.getter(name="destRange") def dest_range(self) -> pulumi.Output[str]: """ The destination range of outgoing packets that this route applies to. Only IPv4 is supported. """ return pulumi.get(self, "dest_range") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ Name of the resource. Provided by the client when the resource is created. The name must be 1-63 characters long, and comply with RFC1035. Specifically, the name must be 1-63 characters long and match the regular expression `a-z?` which means the first character must be a lowercase letter, and all following characters must be a dash, lowercase letter, or digit, except the last character, which cannot be a dash. """ return pulumi.get(self, "name") @property @pulumi.getter def network(self) -> pulumi.Output[str]: """ The network that this route applies to. """ return pulumi.get(self, "network") @property @pulumi.getter(name="nextHopGateway") def next_hop_gateway(self) -> pulumi.Output[Optional[str]]: """ URL to a gateway that should handle matching packets. Currently, you can only specify the internet gateway, using a full or partial valid URL: * `https://www.googleapis.com/compute/v1/projects/project/global/gateways/default-internet-gateway` * `projects/project/global/gateways/default-internet-gateway` * `global/gateways/default-internet-gateway` * The string `default-internet-gateway`. """ return pulumi.get(self, "next_hop_gateway") @property @pulumi.getter(name="nextHopIlb") def next_hop_ilb(self) -> pulumi.Output[Optional[str]]: """ The IP address or URL to a forwarding rule of type loadBalancingScheme=INTERNAL that should handle matching packets. With the GA provider you can only specify the forwarding rule as a partial or full URL. For example, the following are all valid values: * 10.128.0.56 * https://www.googleapis.com/compute/v1/projects/project/regions/region/forwardingRules/forwardingRule * regions/region/forwardingRules/forwardingRule When the beta provider, you can also specify the IP address of a forwarding rule from the same VPC or any peered VPC. Note that this can only be used when the destinationRange is a public (non-RFC 1918) IP CIDR range. """ return pulumi.get(self, "next_hop_ilb") @property @pulumi.getter(name="nextHopInstance") def next_hop_instance(self) -> pulumi.Output[Optional[str]]: """ URL to an instance that should handle matching packets. You can specify this as a full or partial URL. For example: * `https://www.googleapis.com/compute/v1/projects/project/zones/zone/instances/instance` * `projects/project/zones/zone/instances/instance` * `zones/zone/instances/instance` * Just the instance name, with the zone in `next_hop_instance_zone`. """ return pulumi.get(self, "next_hop_instance") @property @pulumi.getter(name="nextHopInstanceZone") def next_hop_instance_zone(self) -> pulumi.Output[str]: """ (Optional when `next_hop_instance` is specified) The zone of the instance specified in `next_hop_instance`. Omit if `next_hop_instance` is specified as a URL. """ return pulumi.get(self, "next_hop_instance_zone") @property @pulumi.getter(name="nextHopIp") def next_hop_ip(self) -> pulumi.Output[str]: """ Network IP address of an instance that should handle matching packets. """ return pulumi.get(self, "next_hop_ip") @property @pulumi.getter(name="nextHopNetwork") def next_hop_network(self) -> pulumi.Output[str]: """ URL to a Network that should handle matching packets. """ return pulumi.get(self, "next_hop_network") @property @pulumi.getter(name="nextHopVpnTunnel") def next_hop_vpn_tunnel(self) -> pulumi.Output[Optional[str]]: """ URL to a VpnTunnel that should handle matching packets. """ return pulumi.get(self, "next_hop_vpn_tunnel") @property @pulumi.getter def priority(self) -> pulumi.Output[Optional[int]]: """ The priority of this route. Priority is used to break ties in cases where there is more than one matching route of equal prefix length. In the case of two routes with equal prefix length, the one with the lowest-numbered priority value wins. Default value is 1000. Valid range is 0 through 65535. """ return pulumi.get(self, "priority") @property @pulumi.getter def project(self) -> pulumi.Output[str]: """ The ID of the project in which the resource belongs. If it is not provided, the provider project is used. """ return pulumi.get(self, "project") @property @pulumi.getter(name="selfLink") def self_link(self) -> pulumi.Output[str]: """ The URI of the created resource. """ return pulumi.get(self, "self_link") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Sequence[str]]]: """ A list of instance tags to which this route applies. """ return pulumi.get(self, "tags")

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null

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8

77918e9deea502e2876228cdb462978e97466087

2,570

py

Python

bingads/v13/bulk/entities/audiences/bulk_remarketing_list.py

pawelulita/BingAds-Python-SDK

e7b5a618e87a43d0a5e2c79d9aa4626e208797bd

[ "MIT" ]

86

2016-02-29T03:24:28.000Z

2022-03-29T09:30:21.000Z

bingads/v13/bulk/entities/audiences/bulk_remarketing_list.py

pawelulita/BingAds-Python-SDK

e7b5a618e87a43d0a5e2c79d9aa4626e208797bd

[ "MIT" ]

135

2016-04-12T13:31:28.000Z

2022-03-29T02:18:51.000Z

bingads/v13/bulk/entities/audiences/bulk_remarketing_list.py

pawelulita/BingAds-Python-SDK

e7b5a618e87a43d0a5e2c79d9aa4626e208797bd

[ "MIT" ]

154

2016-04-08T04:11:27.000Z

2022-03-29T21:21:07.000Z

from bingads.v13.bulk.entities import * from bingads.service_client import _CAMPAIGN_OBJECT_FACTORY_V13 from bingads.v13.internal.bulk.entities.single_record_bulk_entity import _SingleRecordBulkEntity from bingads.v13.internal.bulk.mappings import _SimpleBulkMapping from bingads.v13.internal.bulk.string_table import _StringTable from bingads.v13.internal.extensions import * from .bulk_audience import BulkAudience class BulkRemarketingList(BulkAudience): """ Represents an Remarketing List that can be read or written in a bulk file. This class exposes the :attr:`remarketing_list` property that can be read and written as fields of the Remarketing List record in a bulk file. For more information, see Remarketing List at https://go.microsoft.com/fwlink/?linkid=846127. *See also:* * :class:`.BulkServiceManager` * :class:`.BulkOperation` * :class:`.BulkFileReader` * :class:`.BulkFileWriter` """ def __init__(self, remarketing_list=None, status=None,): super(BulkRemarketingList, self).__init__(audience = remarketing_list, status = status) _MAPPINGS = [ _SimpleBulkMapping( _StringTable.TagId, field_to_csv=lambda c: bulk_str(c.remarketing_list.TagId), csv_to_field=lambda c, v: setattr(c.remarketing_list, 'TagId', int(v) if v else None) ), _SimpleBulkMapping( _StringTable.RemarketingRule, field_to_csv=lambda c: field_to_csv_RemarketingRule(c.remarketing_list), csv_to_field=lambda c, v: csv_to_field_RemarketingRule(c.remarketing_list, v) ), ] @property def remarketing_list(self): """ Defines a Remarketing List """ return self._audience @remarketing_list.setter def remarketing_list(self, remarketing_list): self._audience = remarketing_list def process_mappings_to_row_values(self, row_values, exclude_readonly_data): self._validate_property_not_null(self.remarketing_list, 'remarketing_list') super(BulkRemarketingList, self).process_mappings_to_row_values(row_values, exclude_readonly_data) self.convert_to_values(row_values, BulkRemarketingList._MAPPINGS) def process_mappings_from_row_values(self, row_values): self.remarketing_list = _CAMPAIGN_OBJECT_FACTORY_V13.create('RemarketingList') super(BulkRemarketingList, self).process_mappings_from_row_values(row_values) row_values.convert_to_entity(self, BulkRemarketingList._MAPPINGS)

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null

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0

77936e8ca10f6e684602ec0fcab350ddfe22ac60

24,154

py

Python

src/daft_exprt/extract_features.py

ishine/ubisoft-laforge-daft-exprt

a576691c8c42988f813183efcea43c1677abe17a

[ "Apache-2.0" ]

33

2021-09-17T18:32:23.000Z

2022-03-01T21:05:08.000Z

src/daft_exprt/extract_features.py

ishine/ubisoft-laforge-daft-exprt

a576691c8c42988f813183efcea43c1677abe17a

[ "Apache-2.0" ]

5

2021-12-07T04:23:04.000Z

2022-03-15T07:37:13.000Z

src/daft_exprt/extract_features.py

ishine/ubisoft-laforge-daft-exprt

a576691c8c42988f813183efcea43c1677abe17a

[ "Apache-2.0" ]

7

2021-09-16T02:24:02.000Z

2022-01-11T07:48:19.000Z

import json import logging import logging.handlers import os import re import subprocess import types import uuid import librosa import numpy as np import torch from shutil import rmtree from librosa.filters import mel as librosa_mel_fn from scipy.io import wavfile from daft_exprt.symbols import ascii, eos, punctuation, SIL_WORD_SYMBOL, whitespace from daft_exprt.utils import launch_multi_process _logger = logging.getLogger(__name__) FILE_ROOT = os.path.dirname(os.path.realpath(__file__)) TMP_DIR = os.path.join(FILE_ROOT, 'tmp') FEATURES_HPARAMS = ['centered', 'cutoff', 'f0_interval', 'filter_length', 'hop_length', 'language', 'mel_fmax', 'mel_fmin', 'min_clipping', 'max_f0', 'min_f0', 'n_mel_channels', 'order', 'sampling_rate', 'symbols', 'uv_cost', 'uv_interval'] def check_features_config_used(features_dir, hparams): ''' Check current config is the same than the one used in features directory ''' # hyper-params that are important for feature extraction same_config = True for root, _, file_names in os.walk(os.path.normpath(features_dir)): # extract config files configs = [x for x in file_names if x.endswith('.json')] if len(configs) != 0: # get previous config with open(os.path.join(root, configs[0])) as f: data = f.read() config = json.loads(data) hparams_prev = types.SimpleNamespace(**config) # compare params for param in FEATURES_HPARAMS: if getattr(hparams, param) != getattr(hparams_prev, param): same_config = False _logger.warning(f'Parameter "{param}" is different in "{root}" -- ' f'Was {getattr(hparams_prev, param)} and now is {getattr(hparams, param)}') return same_config def get_min_phone_duration(lines, min_phone_dur=1000.): ''' Extract shortest phone duration in the current .markers file ''' # iterate over phones for line in lines: line = line.strip().split(sep='\t') # extract phone duration begin, end = float(line[0]), float(line[1]) if end - begin < min_phone_dur: min_phone_dur = end - begin return min_phone_dur def duration_to_integer(float_durations, hparams, nb_samples=None): ''' Convert phoneme float durations to integer frame durations ''' # estimate number of samples in audio if nb_samples is None: # get total duration of audio # float_durations = [[phone_begin, phone_end], ...] total_duration = sum([(x[1] - x[0]) for x in float_durations]) # convert in number of samples nb_samples = int(total_duration * hparams.sampling_rate) # get nb spectrogram frames # ignore padding for the moment nb_frames = 1 + int((nb_samples - hparams.filter_length) / hparams.hop_length) # get spectrogram frames index frames_idx = [int(hparams.filter_length / 2) + hparams.hop_length * i for i in range(nb_frames)] # compute number of frames per phoneme curr_frame = 1 int_durations = [] while curr_frame <= nb_frames: # extract phoneme duration begin, end = float_durations.pop(0) if begin != end: # convert to sample idx begin, end = int(begin * hparams.sampling_rate), int(end * hparams.sampling_rate) # get corresponding frames nb_phone_frames = len([idx for idx in frames_idx if begin < idx <= end]) int_durations.append(nb_phone_frames) curr_frame += nb_phone_frames else: # we should not have 0 durations raise ValueError # add edge frames if padding is on if hparams.centered: nb_edge_frames = int(hparams.filter_length / 2 / hparams.hop_length) # left padding int_durations[0] += nb_edge_frames # right padding if len(float_durations) != 0: # correspond to last phoneme int_durations.append(nb_edge_frames) else: int_durations[-1] += nb_edge_frames return int_durations def update_markers(file_name, lines, sentence, sent_begin, int_durations, hparams, logger): ''' Update markers: - change timings to start from 0 - add punctuation or whitespace at word boundaries - add EOS token at end of sentence - add int durations ''' # characters to consider in the sentence if hparams.language == 'english': all_chars = ascii + punctuation else: raise NotImplementedError() ''' match words in the sentence with the ones in markers lines Sentence: ,THAT's, an example'! ' of a sentence. . .' Markers words: that s an example <sil> of a sentence ''' # split sentence: # [',', "that's", ',', 'an', "example'", '!', "'", 'of', 'a', 'sentence', '.', '.', '.', "'"] sent_words = re.findall(f"[\w']+|[{punctuation}]", sentence.lower().strip()) # remove characters that are not letters or punctuation: # [',', "that's", ',', 'an', "example'", '!', 'of', 'a', 'sentence', '.', '.', '.'] sent_words = [x for x in sent_words if len(re.sub(f'[^{all_chars}]', '', x)) != 0] # be sure to begin the sentence with a word and not a punctuation # ["that's", ',', 'an', "example'", '!', 'of', 'a', 'sentence', '.', '.', '.'] while sent_words[0] in punctuation: sent_words.pop(0) # keep only one punctuation type at the end # ["that's", ',', 'an', "example'", '!', 'of', 'a', 'sentence'] punctuation_end = None while sent_words[-1] in punctuation: punctuation_end = sent_words.pop(-1) # split markers lines -- [[begin, end, phone, word, word_idx], ....] markers = [line.strip().split(sep='\t') for line in lines] # extract markers words # they are no '<sil>' at beginning and end of sentence because we trimmed the audio # ['that', 's', 'an', example'', '<sil>', 'of', 'a', 'sentence'] words_idx = [marker[4] for marker in markers] lines_idx = [words_idx.index(word_idx) for word_idx in list(dict.fromkeys(words_idx).keys())] marker_words = [markers[line_idx][3] for line_idx in lines_idx] # update markers with word boundaries sent_words_copy, markers_old = sent_words.copy(), markers.copy() markers, word_idx, word_error = [], 0, False while len(sent_words) != 0: # extract word in .lab sentence and .markers file sent_word = sent_words.pop(0) marker_word, marker_word_idx = markers_old[0][3], markers_old[0][4] if marker_word != sent_word: # we should have the same words # generally the issue comes from the symbol ' # e.g. example' vs example or that's vs [that, s] regex_word = re.findall(f"[\w]+|[{punctuation}]", sent_word) if len(regex_word) == 1: # ['example'] sent_word = regex_word[0] else: # ['that', 's'] sent_words = regex_word + sent_words sent_word = sent_words.pop(0) if marker_word != sent_word: # cannot fix the mismatch between words word_error = True logger.warning(f'Correspondance issue between words in the .lab sentence and those in .markers file -- ' f'File name: {file_name} -- Sentence: {sent_words_copy} -- ' f'Markers: {marker_words} -- Problematic words: {sent_word} -- {marker_word}') break # retrieve all markers lines that correspond to the word while len(markers_old) != 0 and markers_old[0][4] == marker_word_idx: begin, end, phone, word, _ = markers_old.pop(0) begin = f'{float(begin) - sent_begin:.3f}' end = f'{float(end) - sent_begin:.3f}' int_dur = str(int_durations.pop(0)) markers.append([begin, end, int_dur, phone, word, str(word_idx)]) # at this point we pass to the next word # we must add a word boundary between two consecutive words word_idx += 1 if len(sent_words) != 0: word_bound = sent_words.pop(0) if sent_words[0] in punctuation else whitespace # check if a silence marker is associated to the word boundary if markers_old[0][3] == SIL_WORD_SYMBOL: begin, end, _, _, _ = markers_old.pop(0) begin = f'{float(begin) - sent_begin:.3f}' end = f'{float(end) - sent_begin:.3f}' int_dur = str(int_durations.pop(0)) markers.append([begin, end, int_dur, word_bound, word_bound, str(word_idx)]) else: end_prev = markers[-1][1] markers.append([end_prev, end_prev, str(0), word_bound, word_bound, str(word_idx)]) word_idx += 1 if not word_error: # add end punctuation if there is one if punctuation_end is not None: end_prev = markers[-1][1] markers.append([end_prev, end_prev, str(0), punctuation_end, punctuation_end, str(word_idx)]) word_idx += 1 # add EOS token end_prev = markers[-1][1] markers.append([end_prev, end_prev, str(0), eos, eos, str(word_idx)]) # check everything is correct assert(len(sent_words) == len(markers_old) == len(int_durations) == 0), \ logger.error(f'File name: {file_name} -- length mismatch between lists: ({sent_words}, {markers_old}, {int_durations})') return markers else: return None def extract_pitch(wav, fs, hparams): ''' Extract pitch frames from audio using REAPER binary Convert pitch to log scale and set unvoiced values to 0. ''' # REAPER asks for int16 audios # audio is in float32 wav = wav * 32768.0 wav = wav.astype('int16') # save audio file locally rand_name = str(uuid.uuid4()) out_dir = os.path.join(TMP_DIR, 'reaper') os.makedirs(out_dir, exist_ok=True) wav_file = os.path.join(out_dir, f'{rand_name}.wav') wavfile.write(wav_file, fs, wav) # extract pitch values f0_file = wav_file.replace('.wav', '.f0') process = ['reaper', '-i', f'{wav_file}', '-a', '-f', f'{f0_file}', '-e', f'{hparams.f0_interval}', '-m', f'{hparams.min_f0}', '-x', f'{hparams.max_f0}', '-u', f'{hparams.uv_interval}', '-w', f'{hparams.uv_cost}'] with open(os.devnull, 'wb') as devnull: subprocess.check_call(process, stdout=devnull, stderr=subprocess.STDOUT) # read PCM file with open(f0_file, 'rb') as f: buf = f.read() pitch = np.frombuffer(buf, dtype='int16') # extract unvoiced indexes pitch = np.copy(pitch) uv_idxs = np.where(pitch <= 0.)[0] # put to log scale pitch[uv_idxs] = 1000. pitch = np.log(pitch) # set unvoiced values to 0. pitch[uv_idxs] = 0. # extract pitch for each mel-spec frame pitch_frames = pitch[::hparams.hop_length] # edge case if len(pitch) % hparams.hop_length == 0: pitch_frames = np.append(pitch_frames, pitch[-1]) # delete files os.remove(wav_file) os.remove(f0_file) return pitch_frames def get_symbols_pitch(pitch, markers): ''' Compute mean pitch per symbol pitch = NumPy array of shape (nb_mel_spec_frames, ) markers = [[begin, end, int_dur, symbol, word, word_idx], ...] ''' idx = 0 symbols_pitch = [] for marker in markers: # number of mel-spec frames assigned to the symbol int_dur = int(marker[2]) if int_dur != 0: # ignore unvoiced values symbol_pitch = pitch[idx: idx + int_dur] symbol_pitch = symbol_pitch[symbol_pitch > 0.] # compute mean pitch for voiced values if len(symbol_pitch) != 0: symbols_pitch.append(f'{np.mean(symbol_pitch):.3f}\n') else: symbols_pitch.append(f'{0.:.3f}\n') idx += int_dur else: symbols_pitch.append(f'{0.:.3f}\n') return symbols_pitch def extract_energy(mel_spec): ''' Extract energy of each mel-spec frame mel_spec = NumPy array of shape (nb_mel_spec_channels, nb_mel_spec_frames) ''' energy = np.linalg.norm(mel_spec, axis=0) return energy def get_symbols_energy(energy, markers): ''' Compute mean energy per symbol energy = NumPy array of shape (nb_mel_spec_frames, ) markers = [[begin, end, int_dur, symbol, word, word_idx], ...] ''' idx = 0 symbols_energy = [] for marker in markers: # number of mel-spec frames assigned to the symbol int_dur = int(marker[2]) if int_dur != 0: # compute mean energy symbol_energy = energy[idx: idx + int_dur] symbol_energy = np.mean(symbol_energy) symbols_energy.append(f'{symbol_energy:.3f}\n') idx += int_dur else: symbols_energy.append(f'{0.:.3f}\n') return symbols_energy def mel_spectrogram_HiFi(wav, hparams): ''' Mel-Spectrogram extraction as it is performed by HiFi-GAN ''' # convert to PyTorch float tensor wav = torch.FloatTensor(wav) # (T, ) # extract hparams fmin = hparams.mel_fmin fmax = hparams.mel_fmax center = hparams.centered hop_size = hparams.hop_length n_fft = hparams.filter_length num_mels = hparams.n_mel_channels sampling_rate = hparams.sampling_rate min_clipping = hparams.min_clipping # get mel filter bank mel_filter_bank = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax) # (n_mels, 1 + n_fft/2) mel_filter_bank = torch.from_numpy(mel_filter_bank).float() # (n_mels, 1 + n_fft/2) # build hann window hann_window = torch.hann_window(n_fft) # extract amplitude spectrogram spec = torch.stft(wav, n_fft, hop_length=hop_size, win_length=n_fft, window=hann_window, center=center, pad_mode='reflect', normalized=False, onesided=True, return_complex=False) spec = torch.sqrt(spec.pow(2).sum(-1) + (1e-9)) # convert to mels and pass to log mel_spec = torch.matmul(mel_filter_bank, spec) mel_spec = torch.log(torch.clamp(mel_spec, min=min_clipping)) # transform to numpy array mel_spec = mel_spec.squeeze().numpy() return mel_spec def rescale_wav_to_float32(x): ''' Rescale audio array between -1.f and 1.f based on the current format ''' # convert if x.dtype == 'int16': y = x / 32768.0 elif x.dtype == 'int32': y = x / 2147483648.0 elif x.dtype == 'uint8': y = ((x / 255.0) - 0.5)*2 elif x.dtype == 'float32' or x.dtype == 'float64': y = x else: raise TypeError(f"could not normalize wav, unsupported sample type {x.dtype}") # check amplitude is correct y = y.astype('float32') max_ampl = np.max(np.abs(y)) if max_ampl > 1.0: pass # the error should be raised but librosa returns values bigger than 1 sometimes # raise ValueError(f'float32 wav contains samples not in the range [-1., 1.] -- ' # f'max amplitude: {max_ampl}') return y def _extract_features(files, features_dir, hparams, log_queue): ''' Extract mel-spectrogram and markers with int duration ''' # create logger from logging queue qh = logging.handlers.QueueHandler(log_queue) root = logging.getLogger() if not root.hasHandlers(): root.setLevel(logging.INFO) root.addHandler(qh) logger = logging.getLogger(f"worker{str(uuid.uuid4())}") # check files exist markers_file, wav_file = files assert(os.path.isfile(markers_file)), logger.error(f'There is no such file: {markers_file}') assert(os.path.isfile(wav_file)), logger.error(f'There is no such file: {wav_file}') # read markers lines with open(markers_file, 'r', encoding='utf-8') as f: lines = f.readlines() # check min phone duration is coherent # min phone duration must be >= filter_length // 2 # in order to have at least one mel-spec frame attributed to the phone min_phone_dur = get_min_phone_duration(lines) fft_length = hparams.filter_length / hparams.sampling_rate assert(min_phone_dur > fft_length / 2), \ logger.error(f'Min phone duration = {min_phone_dur} -- filter_length / 2 = {fft_length / 2}') # extract sentence duration # leading and tailing silences have been removed in markers.py script sent_begin = float(lines[0].strip().split(sep='\t')[0]) sent_end = float(lines[-1].strip().split(sep='\t')[1]) sent_dur = sent_end - sent_begin # ignore audio if length is inferior to min wav duration if sent_dur >= hparams.minimum_wav_duration / 1000: # read wav file to range [-1, 1] in np.float32 wav, fs = librosa.load(wav_file, sr=hparams.sampling_rate) wav = rescale_wav_to_float32(wav) # remove leading and tailing silences wav = wav[int(sent_begin * fs): int(sent_end * fs)] # extract mel-spectrogram mel_spec = mel_spectrogram_HiFi(wav, hparams) # get number of mel-spec frames nb_mel_spec_frames = mel_spec.shape[1] # convert phoneme durations to integer frame durations float_durations = [[float(x[0]) - sent_begin, float(x[1]) - sent_begin] for x in [line.strip().split(sep='\t') for line in lines]] int_durations = duration_to_integer(float_durations, hparams, nb_samples=len(wav)) assert(len(int_durations) == len(lines)), logger.error(f'{markers_file} -- ({len(int_durations)}, {len(lines)})') assert(sum(int_durations) == nb_mel_spec_frames), logger.error(f'{markers_file} -- ({sum(int_durations)}, {nb_mel_spec_frames})') assert(0 not in int_durations), logger.error(f'{markers_file} -- {int_durations}') # update markers: # change timings to start from 0 # add punctuation or whitespace at word boundaries # add EOS token at end of sentence # add int durations markers_dir = os.path.dirname(markers_file) file_name = os.path.basename(markers_file).replace('.markers', '') sentence_file = os.path.join(markers_dir, f'{file_name}.lab') assert(os.path.isfile(sentence_file)), logger.error(f'There is no such file: {sentence_file}') with open(sentence_file, 'r', encoding='utf-8') as f: sentence = f.readline() markers = update_markers(file_name, lines, sentence, sent_begin, int_durations, hparams, logger) if markers is not None: # save mel-spectrogram -- (n_mel_channels, T) np.save(os.path.join(features_dir, f'{file_name}.npy'), mel_spec) # save markers # each line has the format: [begin, end, int_dur, symbol, word, word_idx] markers_file = os.path.join(features_dir, f'{file_name}.markers') with open(markers_file, 'w', encoding='utf-8') as f: f.writelines(['\t'.join(x) + '\n' for x in markers]) # extract energy for each mel-spec frame mel_spec = np.exp(mel_spec) # remove log frames_energy = extract_energy(mel_spec) # save frames energy values energy_file = os.path.join(features_dir, f'{file_name}.frames_nrg') with open(energy_file, 'w', encoding='utf-8') as f: for val in frames_energy: f.write(f'{val:.3f}\n') # extract energy on the symbol level # we use average energy value per symbol symbols_energy = get_symbols_energy(frames_energy, markers) # save symbols energy energy_file = os.path.join(features_dir, f'{file_name}.symbols_nrg') with open(energy_file, 'w', encoding='utf-8') as f: f.writelines(symbols_energy) # extract log pitch for each mel-spec frame frames_pitch = extract_pitch(wav, fs, hparams) assert(len(frames_pitch) == nb_mel_spec_frames), logger.error(f'{markers_file} -- ({len(frames_pitch)}, {nb_mel_spec_frames})') # save frames pitch values pitch_file = os.path.join(features_dir, f'{file_name}.frames_f0') with open(pitch_file, 'w', encoding='utf-8') as f: for val in frames_pitch: f.write(f'{val:.3f}\n') # extract pitch on the symbol level # we use average pitch value per symbol symbols_pitch = get_symbols_pitch(frames_pitch, markers) # save symbols pitch values pitch_file = os.path.join(features_dir, f'{file_name}.symbols_f0') with open(pitch_file, 'w', encoding='utf-8') as f: f.writelines(symbols_pitch) else: logger.warning(f'Ignoring {wav_file} -- audio has length inferior to {hparams.minimum_wav_duration / 1000}s after trimming') def get_files_for_features_extraction(line, markers_dir, log_queue): ''' Return file name if .markers file exists ''' # check if markers file exist for the corresponding line line = line.strip().split(sep='|') # [file_name, text] file_name = line[0].strip() markers = os.path.join(markers_dir, f'{file_name}.markers') if os.path.isfile(markers): return file_name else: return None def extract_features(dataset_dir, features_dir, hparams, n_jobs): ''' Extract features for training ''' # iterate over speakers _logger.info('--' * 30) _logger.info('Extracting Features'.upper()) _logger.info('--' * 30) for speaker in hparams.speakers: _logger.info(f'Speaker: "{speaker}"') # check wavs and markers dir exist wavs_dir = os.path.join(dataset_dir, speaker, 'wavs') markers_dir = os.path.join(dataset_dir, speaker, 'align') assert(os.path.isdir(wavs_dir)), _logger.error(f'There is no such directory: {wavs_dir}') assert(os.path.isdir(markers_dir)), _logger.error(f'There is no such directory: {markers_dir}') # check metadata file exist spk_features_dir = os.path.join(features_dir, speaker) metadata = os.path.join(spk_features_dir, 'metadata.csv') assert(os.path.isfile(metadata)), _logger.error(f'There is no such file: {metadata}') # get all files that can be used for features extraction with open(metadata, 'r', encoding='utf-8') as f: lines = f.readlines() file_names = launch_multi_process(iterable=lines, func=get_files_for_features_extraction, n_jobs=n_jobs, markers_dir=markers_dir, timer_verbose=False) file_names = [x for x in file_names if x is not None] # check current files that exist in features dir # avoid to process files that already have been processed in a previous features extraction curr_files = [x.replace('.symbols_f0', '').strip() for x in os.listdir(spk_features_dir) if x.endswith('.symbols_f0')] missing_files = [x for x in file_names if x not in curr_files] _logger.info(f'{len(curr_files)} files already processed. {len(missing_files)} new files need to be processed') # extract features files = [(os.path.join(markers_dir, f'{x}.markers'), os.path.join(wavs_dir, f'{x}.wav')) for x in missing_files] launch_multi_process(iterable=files, func=_extract_features, n_jobs=n_jobs, features_dir=spk_features_dir, hparams=hparams) # save config used to perform features extraction hparams.save_hyper_params(os.path.join(spk_features_dir, 'config.json')) _logger.info('') # remove tmp directory rmtree(TMP_DIR, ignore_errors=True)

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py

Python

python/cuspatial/cuspatial/geometry/geoseries.py

AyodeAwe/cuspatial

77971ac91a24228bc46cf461c0ac7b6f2ed78e44

[ "Apache-2.0" ]

347

2019-08-29T12:39:02.000Z

2022-03-28T14:55:34.000Z

python/cuspatial/cuspatial/geometry/geoseries.py

AyodeAwe/cuspatial

77971ac91a24228bc46cf461c0ac7b6f2ed78e44

[ "Apache-2.0" ]

425

2019-08-24T23:27:46.000Z

2022-03-31T20:07:18.000Z

python/cuspatial/cuspatial/geometry/geoseries.py

AyodeAwe/cuspatial

77971ac91a24228bc46cf461c0ac7b6f2ed78e44

[ "Apache-2.0" ]

109

2019-08-14T22:49:56.000Z

2022-02-24T19:54:42.000Z

# Copyright (c) 2020-2021, NVIDIA CORPORATION from typing import TypeVar, Union import geopandas as gpd import pandas as pd from geopandas.geoseries import GeoSeries as gpGeoSeries import cudf from cuspatial.geometry.geoarrowbuffers import GeoArrowBuffers from cuspatial.geometry.geocolumn import GeoColumn, GeoMeta from cuspatial.io.geopandas_adapter import GeoPandasAdapter T = TypeVar("T", bound="GeoSeries") class GeoSeries(cudf.Series): """ cuspatial.GeoSeries enables GPU-backed storage and computation of shapely-like objects. Our goal is to give feature parity with GeoPandas. At this time, only from_geopandas and to_geopandas are directly supported. cuspatial GIS, indexing, and trajectory functions depend on the arrays stored in the `GeoArrowBuffers` object, accessible with the `points`, `multipoints`, `lines`, and `polygons` accessors. >>> cuseries.points xy: 0 -1.0 1 0.0 dtype: float64 """ def __init__( self, data: Union[gpd.GeoSeries], index: Union[cudf.Index, pd.Index] = None, dtype=None, name=None, nan_as_null=True, ): # Condition index if isinstance(data, (gpGeoSeries, GeoSeries)): if index is None: index = data.index if index is None: index = cudf.RangeIndex(0, len(data)) # Condition data if isinstance(data, pd.Series): data = gpGeoSeries(data) # Create column if isinstance(data, GeoColumn): column = data elif isinstance(data, GeoSeries): column = data._column elif isinstance(data, gpGeoSeries): adapter = GeoPandasAdapter(data) buffers = GeoArrowBuffers(adapter.get_geoarrow_host_buffers()) pandas_meta = GeoMeta(adapter.get_geopandas_meta()) column = GeoColumn(buffers, pandas_meta) else: raise TypeError( f"Incompatible object passed to GeoSeries ctor {type(data)}" ) super().__init__(column, index, dtype, name, nan_as_null) @property def _geocolumn(self): """ The GeoColumn object keeps a reference to a `GeoArrowBuffers` object, which contains all of the geometry coordinates and offsets for thie `GeoSeries`. """ return self._column @_geocolumn.setter def _geocolumn(self, value): if not isinstance(value, GeoColumn): raise TypeError self._column = value @property def points(self): """ Access the `PointsArray` of the underlying `GeoArrowBuffers`. """ return self._geocolumn.points @property def multipoints(self): """ Access the `MultiPointArray` of the underlying `GeoArrowBuffers`. """ return self._geocolumn.multipoints @property def lines(self): """ Access the `LineArray` of the underlying `GeoArrowBuffers`. """ return self._geocolumn.lines @property def polygons(self): """ Access the `PolygonArray` of the underlying `GeoArrowBuffers`. """ return self._geocolumn.polygons def __repr__(self): # TODO: Implement Iloc with slices so that we can use `Series.__repr__` return self.to_pandas().__repr__() def to_geopandas(self, nullable=False): """ Returns a new GeoPandas GeoSeries object from the coordinates in the cuspatial GeoSeries. """ if nullable is True: raise ValueError("GeoSeries doesn't support <NA> yet") host_column = self._geocolumn.to_host() output = [host_column[i].to_shapely() for i in range(len(host_column))] return gpGeoSeries(output, index=self.index.to_pandas()) def to_pandas(self): """ Treats to_pandas and to_geopandas as the same call, which improves compatibility with pandas. """ return self.to_geopandas()

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7795432cd6d3090d060937e876a441cb4cc29351

29,824

py

Python

src/itol_pfamtree.py

ElofssonLab/TMplot

6a19cd1cb792733fb5db067e333c4ab3d5e238b7

[ "MIT" ]

null

src/itol_pfamtree.py

ElofssonLab/TMplot

6a19cd1cb792733fb5db067e333c4ab3d5e238b7

[ "MIT" ]

5

2020-07-10T10:10:06.000Z

2022-03-11T23:41:28.000Z

src/itol_pfamtree.py

ElofssonLab/TMplot

6a19cd1cb792733fb5db067e333c4ab3d5e238b7

[ "MIT" ]

null

#!/usr/bin/env python import os import sys from ete3 import Tree import shutil import math import myfunc from colour import Color blue = Color("blue") red = Color("red") from itolapi import Itol from itolapi import ItolExport rundir = os.path.dirname(os.path.realpath(__file__)) usage=""" USAGE: itol_pfamtree.py [-datapath DIR] -l pfamidlist [ID [ID ...]] Visualize phylogenetic tree of Pfam family, highlighting important features of membrane proteins OPTIONS: -m, -method STR Method for visualization, (default: 0) 0: 1: linear: sd1: phylogenetic tree showing the number of the TM helices and with orientation represented by either red or blue, and also color subfamilies differently in the branches. sd2: phylogenetic tree with domain architectures sd3: phylogenetic tree with the first level (kingdom) colored in branches. and the next three levels are colored in outer circles,(three circles) -datapath DIR Set datapath, (default: ./) -treefile FILE Set the tree file directly -fastafile FILE Set the fasta file providing the annotation -outpath DIR Set outpath, (default: ./) -q Quiet mode -h, --help Print this help message and exit Created 2012-03-13, updated 2019-08-16, Nanjiang Shu """ def PrintHelp():#{{{ print(usage) #}}} def GetFontSize(numLeave):#{{{ fontsize = 500/math.sqrt(numLeave) fontsize = max(30, fontsize) fontsize = min(200, fontsize) return fontsize #}}} def WriteDomainColorDefFile(domain_colordef_file, domain_dict, domain_idlist, seqlen_dict, leaves_name_set):#{{{ """Write domain color definition file for iTOL given domain file """ default_color = "#008000" default_shape = "HH" lst_color = list(blue.range_to(red,len(domain_idlist))) color_dict = {} for i in range(len(domain_idlist)): domainid = domain_idlist[i] color = lst_color[i].get_hex_l() color_dict[domainid] = lst_color[i].get_hex_l() try: fpout = open(domain_colordef_file, "w") # write the domain colordef file for seqid in domain_dict: if not seqid in leaves_name_set: continue seqlen = seqlen_dict[seqid] fpout.write("%s,%d"%(seqid, seqlen)) shape = default_shape dlist = domain_dict[seqid] for dm in dlist: domainid = dm[2] color = color_dict[domainid] #color = default_color fpout.write(",%s|%d|%d|%s|%s"%(shape, dm[0]+1, dm[1]+1, color, domainid)) fpout.write("\n") return 0 except IOError: print("Failed to write to file %s"%(domain_colordef_file), file=sys.stderr) return 1 #}}} def Itol_Tree_m0(pfamid, datapath, outpath):#{{{ #Create the Itol class itl = Itol() #Set the tree file tree = datapath + os.sep + pfamid + '.tree' (datafile1, datafile2, datafile3, datafile4) = ("", "", "", "") if not os.path.exists(tree): print("tree file %s does not exist. Ignore" %(tree), file=sys.stderr) return 1 t = Tree(tree) leaves = t.get_leaves() numLeave = len(leaves) fontsize = GetFontSize(numLeave) datafile1 = datapath + os.sep + pfamid + '.numTM_and_io.txt' # datafile2 = datapath + os.sep + pfamid + '.cmpclass.colordef.txt' # datafile3 = datapath + os.sep + pfamid + '.ntermstate.colordef.txt' datafile4 = datapath + os.sep + pfamid + '.cluster.colordef.txt' colordeffile = datapath + os.sep + pfamid + '.pfam.colordef.txt' branchlabelfile = datapath + os.sep + pfamid + '.branchlabel.txt' datafileList = [datafile1, datafile2, datafile3, datafile4, colordeffile, branchlabelfile] rootname = os.path.basename(os.path.splitext(tree)[0]) #=================================== itl.add_file(tree) itl.params['treeName'] = rootname itl.params['treeFormat'] = 'newick' valid_datafileList = [] for datafile in datafileList: if os.path.exists(datafile): itl.add_file(datafile) valid_datafileList.append(datafile) datasets_list = [str(x) for x in range(len(valid_datafileList))] # Check parameters # itl.print_variables() #Submit the tree print('') print('Uploading the tree. This may take some time depending on how large the tree is and how much load there is on the itol server') good_upload = itl.upload() if good_upload == False: print('There was an error:'+itl.comm.upload_output) sys.exit(1) #Read the tree ID print('Tree ID: '+str(itl.comm.tree_id)) #Read the iTOL API return statement print('iTOL output: '+str(itl.comm.upload_output)) #Website to be redirected to iTOL tree print('Tree Web Page URL: '+itl.get_webpage()) # Warnings associated with the upload print('Warnings: '+str(itl.comm.warnings)) #Export to pdf print('Exporting to pdf') itol_exporter = itl.get_itol_export() #itol_exporter = itolexport.ItolExport() #itol_exporter.set_export_param_value('tree','18793532031912684633930') itol_exporter.set_export_param_value('format', 'pdf') itol_exporter.set_export_param_value('display_mode',"2") #itol_exporter.set_export_param_value('current_font_size',fontsize) itol_exporter.set_export_param_value('align_labels',"1") itol_exporter.set_export_param_value('datasets_visible',",".join(datasets_list)) epsfile = outpath + os.sep + pfamid + '-itol.eps' pdffile = outpath + os.sep + pfamid + '-itol.pdf' jpgfile = outpath + os.sep + pfamid + '-itol.jpg' thumbfile = outpath + os.sep + "thumb." + pfamid + '-itol.jpg' itol_exporter.export(pdffile) #os.system("epstopdf %s" % epsfile ) os.system("convert %s %s" % (pdffile, jpgfile) ) os.system("convert -thumbnail 200 %s %s" % (jpgfile, thumbfile)) print('exported tree to ',pdffile) #}}} def Itol_Tree_m1(pfamid, datapath, outpath):#{{{ # TM helices are treated as domains #Create the Itol class itl = Itol() #Set the tree file tree = datapath + os.sep + pfamid + '.tree' (datafile1, datafile2, datafile3, datafile4) = ("", "", "", "") if not os.path.exists(tree): print("tree file %s does not exist. Ignore" %(tree), file=sys.stderr) return 1 t = Tree(tree) leaves = t.get_leaves() numLeave = len(leaves) fontsize = GetFontSize(numLeave) datafile1 = datapath + os.sep + pfamid + '.numTM_and_io.txt' datafile2 = datapath + os.sep + pfamid + '.cmpclass.colordef.txt' # datafile3 = datapath + os.sep + pfamid + '.ntermstate.colordef.txt' datafile4 = datapath + os.sep + pfamid + '.cluster.colordef.txt' colordeffile = datapath + os.sep + pfamid + '.pfam.colordef.txt' branchlabelfile = datapath + os.sep + pfamid + '.branchlabel.txt' #=================================== itl.add_variable('treeFile',tree) itl.add_variable('treeName','PF00854') itl.add_variable('treeFormat','newick') if os.path.exists(colordeffile): itl.add_variable('colorDefinitionFile', colordeffile) if os.path.exists(branchlabelfile): itl.add_variable('branchLabelsFile', branchlabelfile) #=================================== if os.path.exists(datafile1): itl.add_variable('datafile1File',datafile1) itl.add_variable('datafile1Label','numTM_and_io') itl.add_variable('datafile1Separator','comma') itl.add_variable('datafile1Type','multibar') itl.add_variable('datafile1PreventOverlap','1') itl.add_variable('datafile1Color','#FF0000') #=================================== if os.path.exists(datafile2): itl.add_variable('datafile2File', datafile2) itl.add_variable('datafile2Label', 'cmpclass') itl.add_variable('datafile2Separator','comma') itl.add_variable('datafile2Type','colorstrip') itl.add_variable('datafile2StripWidth','200') itl.add_variable('datafile2PreventOverlap','1') itl.add_variable('datafile2ColoringType','both') #=================================== if os.path.exists(datafile3): itl.add_variable('datafile3File', datafile3) itl.add_variable('datafile3Label', 'NtermState') itl.add_variable('datafile3Separator','comma') itl.add_variable('datafile3Type','colorstrip') itl.add_variable('datafile3StripWidth','200') itl.add_variable('datafile3PreventOverlap','1') itl.add_variable('datafile3ColoringType','both') #=================================== if os.path.exists(datafile4): itl.add_variable('datafile4File', datafile4) itl.add_variable('datafile4Label', 'cluster') itl.add_variable('datafile4Separator','comma') itl.add_variable('datafile4Type','colorstrip') itl.add_variable('datafile4StripWidth','200') itl.add_variable('datafile4PreventOverlap','1') itl.add_variable('datafile4ColoringType','both') itl.add_variable('datafile4BranchColoringType','both') #itl.add_variable('datafile1BarSizeMax','1') #=================================== # Check parameters # itl.print_variables() #Submit the tree print('') print('Uploading the tree. This may take some time depending on how large the tree is and how much load there is on the itol server') good_upload = itl.upload() if good_upload == False: print('There was an error:'+itl.comm.upload_output) sys.exit(1) #Read the tree ID print('Tree ID: '+str(itl.comm.tree_id)) #Read the iTOL API return statement print('iTOL output: '+str(itl.comm.upload_output)) #Website to be redirected to iTOL tree print('Tree Web Page URL: '+itl.get_webpage()) # Warnings associated with the upload print('Warnings: '+str(itl.comm.warnings)) #Export to pdf print('Exporting to pdf') itol_exporter = itl.get_itol_export() #itol_exporter = itolexport.ItolExport() #itol_exporter.set_export_param_value('tree','18793532031912684633930') itol_exporter.set_export_param_value('format', 'eps') itol_exporter.set_export_param_value('display_mode',"2") itol_exporter.set_export_param_value('current_font_size',fontsize) itol_exporter.set_export_param_value('align_labels',"1") itol_exporter.set_export_param_value('datafileList','dataset1') epsfile = outpath + os.sep + pfamid + '-itol.eps' pdffile = outpath + os.sep + pfamid + '-itol.pdf' jpgfile = outpath + os.sep + pfamid + '-itol.jpg' thumbfile = outpath + os.sep + "thumb." + pfamid + '-itol.jpg' itol_exporter.export(epsfile) os.system("epstopdf %s" % epsfile ) os.system("convert %s %s" % (epsfile, jpgfile) ) os.system("convert -thumbnail 200 %s %s" % (jpgfile, thumbfile)) print('exported tree to ',pdffile) #}}} def Itol_Tree_m_sd1(pfamid, datapath, outpath):#{{{ """Phylogenetic tree with numTM_io and subfamilies branch coloring """ tree = datapath + os.sep + pfamid + '.tree' t = Tree(tree) leaves = t.get_leaves() lst_leaves_name = [] for leaf in leaves: lst_leaves_name.append(leaf.name) numLeave = len(lst_leaves_name) # read subfamily definition subfamfile = "%s/%s.subfamilies"%(datapath, pfamid) subfam_idlist = [] subfamDict = myfunc.Read_subfamily(subfamfile, subfam_idlist) numSubFam = len(subfam_idlist) # create subfamily branch color definition file subfam_colordef_file = "%s/%s.subfamilies.colordef.txt"%(outpath, pfamid) lst_color = list(blue.range_to(red,numSubFam)) color_dict = {} for i in range(numSubFam): famid = subfam_idlist[i] color = lst_color[i].get_hex_l() color_dict[famid] = lst_color[i].get_hex_l() myfunc.WriteSubFamColorDef(subfam_colordef_file, subfamDict, lst_leaves_name, color_dict) #Create the Itol class itl = Itol() #Set the tree file (datafile1, datafile2, datafile3, datafile4) = ("", "", "", "") if not os.path.exists(tree): print("tree file %s does not exist. Ignore" %(tree), file=sys.stderr) return 1 fontsize = GetFontSize(numLeave) datafile1 = datapath + os.sep + pfamid + '.numTM_and_io.txt' colordeffile = subfam_colordef_file if os.path.exists(colordeffile): itl.add_variable('colorDefinitionFile', colordeffile) itl.add_variable('colorDefinitionLabel', "Subfamilies") #=================================== itl.add_variable('treeFile',tree) itl.add_variable('treeName','SD1') itl.add_variable('treeFormat','newick') #=================================== if os.path.exists(datafile1): itl.add_variable('datafile1File',datafile1) itl.add_variable('datafile1Label','numTM_and_io') itl.add_variable('datafile1Separator','comma') itl.add_variable('datafile1Type','multibar') itl.add_variable('datafile1PreventOverlap','1') itl.add_variable('datafile1Color','#FF0000') #=================================== # Check parameters # itl.print_variables() #Submit the tree print('') print('Uploading the tree. This may take some time depending on how large the tree is and how much load there is on the itol server') good_upload = itl.upload() if good_upload == False: print('There was an error:'+itl.comm.upload_output) sys.exit(1) #Read the tree ID print('Tree ID: '+str(itl.comm.tree_id)) #Read the iTOL API return statement print('iTOL output: '+str(itl.comm.upload_output)) #Website to be redirected to iTOL tree print('Tree Web Page URL: '+itl.get_webpage()) # Warnings associated with the upload print('Warnings: '+str(itl.comm.warnings)) #Export to pdf itol_exporter = itl.get_itol_export() #itol_exporter = itolexport.ItolExport() #itol_exporter.set_export_param_value('tree','18793532031912684633930') itol_exporter.set_export_param_value('format', 'eps') itol_exporter.set_export_param_value('display_mode',"2") itol_exporter.set_export_param_value('current_font_size',fontsize) itol_exporter.set_export_param_value('align_labels',"1") itol_exporter.set_export_param_value('datafileList','dataset1') extname = "-itol-sd1" epsfile = outpath + os.sep + pfamid + extname + '.eps' pdffile = outpath + os.sep + pfamid + extname + '.pdf' jpgfile = outpath + os.sep + pfamid + extname + '.jpg' pngfile = outpath + os.sep + pfamid + extname + '.png' thumbfile = outpath + os.sep + "thumb." + pfamid + extname + '.jpg' itol_exporter.export(epsfile) os.system("epstopdf %s" % epsfile ) os.system("convert %s %s" % (epsfile, jpgfile) ) os.system("convert -thumbnail 200 %s %s" % (jpgfile, thumbfile)) print('exported tree to ',pdffile) #}}} def Itol_Tree_m_sd2(pfamid, datapath, outpath):#{{{ tree = datapath + os.sep + pfamid + '.tree' t = Tree(tree) leaves = t.get_leaves() lst_leaves_name = [] for leaf in leaves: lst_leaves_name.append(leaf.name) numLeave = len(lst_leaves_name) leaves_name_set = set(lst_leaves_name) # read seqlen file seqlenfile = "%s/%s.seqlen.txt"%(datapath, pfamid) seqlen_dict = myfunc.ReadSeqLengthDict(seqlenfile) # read subfamily definition domain_idlist = [] domainfile = "%s/%s.mdp"%(datapath, pfamid) domain_dict = myfunc.Read_domain_sd(domainfile, domain_idlist) domain_colordef_file = "%s/%s.mdp.colordef.txt"%(datapath, pfamid) WriteDomainColorDefFile(domain_colordef_file, domain_dict, domain_idlist, seqlen_dict, leaves_name_set) #Create the Itol class itl = Itol() #Set the tree file (datafile1, datafile2, datafile3, datafile4) = ("", "", "", "") if not os.path.exists(tree): print("tree file %s does not exist. Ignore" %(tree), file=sys.stderr) return 1 fontsize = GetFontSize(numLeave) datafile1 = domain_colordef_file # colordeffile = subfam_colordef_file # if os.path.exists(colordeffile): # itl.add_variable('colorDefinitionFile', colordeffile) # itl.add_variable('colorDefinitionLabel', "Subfamilies") #=================================== itl.add_variable('treeFile',tree) itl.add_variable('treeName','SD2') itl.add_variable('treeFormat','newick') #=================================== if os.path.exists(datafile1): itl.add_variable('datafile1File',datafile1) itl.add_variable('datafile1Label','Domain architecture') itl.add_variable('datafile1Separator','comma') itl.add_variable('datafile1Type','domains') itl.add_variable('datafile1ProtSizeMax','1000') itl.add_variable('datafile1PreventOverlap','1') itl.add_variable('datafile1CirclesSpacing','100') #=================================== # Check parameters # itl.print_variables() #Submit the tree print('') print('Uploading the tree. This may take some time depending on how large the tree is and how much load there is on the itol server') good_upload = itl.upload() if good_upload == False: print('There was an error:'+itl.comm.upload_output) sys.exit(1) #Read the tree ID print('Tree ID: '+str(itl.comm.tree_id)) #Read the iTOL API return statement print('iTOL output: '+str(itl.comm.upload_output)) #Website to be redirected to iTOL tree print('Tree Web Page URL: '+itl.get_webpage()) # Warnings associated with the upload print('Warnings: '+str(itl.comm.warnings)) #Export to pdf itol_exporter = itl.get_itol_export() #itol_exporter = itolexport.ItolExport() #itol_exporter.set_export_param_value('tree','18793532031912684633930') itol_exporter.set_export_param_value('format', 'eps') itol_exporter.set_export_param_value('display_mode',"2") itol_exporter.set_export_param_value('current_font_size',fontsize) itol_exporter.set_export_param_value('align_labels',"1") itol_exporter.set_export_param_value('datafileList','dataset1') extname = "-itol-sd2" epsfile = outpath + os.sep + pfamid + extname + '.eps' pdffile = outpath + os.sep + pfamid + extname + '.pdf' jpgfile = outpath + os.sep + pfamid + extname + '.jpg' pngfile = outpath + os.sep + pfamid + extname + '.png' thumbfile = outpath + os.sep + "thumb." + pfamid + extname + '.jpg' itol_exporter.export(epsfile) os.system("epstopdf %s" % epsfile ) os.system("convert %s %s" % (epsfile, jpgfile) ) os.system("convert -thumbnail 200 %s %s" % (jpgfile, thumbfile)) print('exported tree to ',pdffile) #}}} def Itol_Tree_m_sd3(pfamid, datapath, outpath):#{{{ """Phylogenetic tree with species definition the Kindom use branch colordefinition, and others using color strips """ tree = datapath + os.sep + pfamid + '.tree' t = Tree(tree) leaves = t.get_leaves() lst_leaves_name = [] for leaf in leaves: lst_leaves_name.append(leaf.name) numLeave = len(lst_leaves_name) leaves_name_set = set(lst_leaves_name) # read species definition speciesfile = "%s/%s.species"%(datapath, pfamid) speciesDict = myfunc.Read_species_sd(speciesfile) # create branch color definition file for kingdom lst_kingdom = ["Archaea","Bacteria", "Eukaryota" ] lst_color_kingdom = ["#ff0000", "#0066ff","#cc6600"] species_colordef_file = "%s/%s.kingdom.colordef.txt"%(outpath, pfamid) color_dict_kingdom = {} this_speciesDict = {} for seqid in speciesDict: speciesname = speciesDict[seqid][0] this_speciesDict[seqid] = speciesname for i in range(len(lst_kingdom)): idd = lst_kingdom[i] color_dict_kingdom[idd] = lst_color_kingdom[i] myfunc.WriteKingdomColorDefFile(species_colordef_file, this_speciesDict, leaves_name_set, color_dict_kingdom) # generate the next three levels of classification for level in [1,2,3]: outfile = "%s/%s.species.level_%d.txt"%(outpath, pfamid, level) this_speciesDict = {} speciesIDSet = set([]) for seqid in speciesDict: try: speciesname = speciesDict[seqid][level] speciesIDSet.add(speciesname) this_speciesDict[seqid] = speciesname except IndexError as KeyError: pass color_dict = {} lst_color = list(blue.range_to(red,len(speciesIDSet))) lst_speciesID = list(speciesIDSet) for i in range(len(lst_speciesID)): idd = lst_speciesID[i] color_dict[idd] = lst_color[i].get_hex_l() myfunc.WriteSpeciesColorStripDefFile(outfile, this_speciesDict, leaves_name_set, color_dict) #Create the Itol class itl = Itol() #Set the tree file (datafile1, datafile2, datafile3, datafile4) = ("", "", "", "") if not os.path.exists(tree): print("tree file %s does not exist. Ignore" %(tree), file=sys.stderr) return 1 fontsize = GetFontSize(numLeave) datafile1 = "%s/%s.species.level_%d.txt"%(outpath, pfamid, 1) datafile2 = "%s/%s.species.level_%d.txt"%(outpath, pfamid, 2) datafile3 = "%s/%s.species.level_%d.txt"%(outpath, pfamid, 3) colordeffile = species_colordef_file if os.path.exists(colordeffile): itl.add_variable('colorDefinitionFile', colordeffile) itl.add_variable('colorDefinitionLabel', "Kingdom") #=================================== itl.add_variable('treeFile',tree) itl.add_variable('treeName','SD3') itl.add_variable('treeFormat','newick') #=================================== if os.path.exists(datafile1): itl.add_variable('datafile1File',datafile1) itl.add_variable('datafile1Label','Phylum') itl.add_variable('datafile1Separator','comma') itl.add_variable('datafile1Type','colorstrip') itl.add_variable('datafile1StripWidth','100') itl.add_variable('datafile1ColoringType','both') itl.add_variable('datafile1PreventOverlap','1') #=================================== if os.path.exists(datafile2): itl.add_variable('datafile2File',datafile2) itl.add_variable('datafile2Label','Class') itl.add_variable('datafile2Separator','comma') itl.add_variable('datafile2Type','colorstrip') itl.add_variable('datafile2StripWidth','100') itl.add_variable('datafile2ColoringType','both') itl.add_variable('datafile2PreventOverlap','1') #=================================== if os.path.exists(datafile3): itl.add_variable('datafile3File',datafile3) itl.add_variable('datafile3Label','Order') itl.add_variable('datafile3Separator','comma') itl.add_variable('datafile3Type','colorstrip') itl.add_variable('datafile3StripWidth','100') itl.add_variable('datafile3ColoringType','both') itl.add_variable('datafile3PreventOverlap','1') #=================================== # Check parameters # itl.print_variables() #Submit the tree print('') print('Uploading the tree. This may take some time depending on how large the tree is and how much load there is on the itol server') good_upload = itl.upload() if good_upload == False: print('There was an error:'+itl.comm.upload_output) sys.exit(1) #Read the tree ID print('Tree ID: '+str(itl.comm.tree_id)) #Read the iTOL API return statement print('iTOL output: '+str(itl.comm.upload_output)) #Website to be redirected to iTOL tree print('Tree Web Page URL: '+itl.get_webpage()) # Warnings associated with the upload print('Warnings: '+str(itl.comm.warnings)) #Export to pdf itol_exporter = itl.get_itol_export() #itol_exporter = itolexport.ItolExport() #itol_exporter.set_export_param_value('tree','18793532031912684633930') itol_exporter.set_export_param_value('format', 'eps') itol_exporter.set_export_param_value('display_mode',"2") itol_exporter.set_export_param_value('current_font_size',fontsize) itol_exporter.set_export_param_value('align_labels',"1") itol_exporter.set_export_param_value('datafileList','dataset1') extname = "-itol-sd3" epsfile = outpath + os.sep + pfamid + extname + '.eps' pdffile = outpath + os.sep + pfamid + extname + '.pdf' jpgfile = outpath + os.sep + pfamid + extname + '.jpg' pngfile = outpath + os.sep + pfamid + extname + '.png' thumbfile = outpath + os.sep + "thumb." + pfamid + extname + '.jpg' itol_exporter.export(epsfile) os.system("epstopdf %s" % epsfile ) os.system("convert %s %s" % (epsfile, jpgfile) ) os.system("convert -thumbnail 200 %s %s" % (jpgfile, thumbfile)) print('exported tree to ',pdffile) #}}} def Itol_Tree_linear(treefile, fastafile, outpath):# {{{ """ Generate itol tree linear """ if not treefile.endswith(".tree") or treefile.endswith(".tree.txt"): newfile = treefile + ".tree" shutil.copy2(treefile, newfile) treefile = newfile #Create the Itol class itl = Itol() #Set the tree file tree = treefile dirname = os.path.dirname(treefile) if dirname == "": dirname = "." if outpath == "": outpath = dirname elif not os.path.exists(outpath): os.system("mkdir -p %s"%(outpath)) rootname = os.path.basename(os.path.splitext(treefile)[0]) rtname_fastafile = os.path.basename(os.path.splitext(fastafile)[0]) colorragefile = dirname + os.sep + rtname_fastafile + ".colorrage.txt" datafileList = [colorragefile] if os.path.exists(fastafile): cmd = "python %s/fasta2colorrange.py %s %s > %s"%(rundir, fastafile, treefile,colorragefile) os.system(cmd) #=================================== itl.add_file(tree) itl.params['treeName'] = rootname itl.params['treeFormat'] = 'newick' valid_datafileList = [] for datafile in datafileList: if os.path.exists(datafile): itl.add_file(datafile) valid_datafileList.append(datafile) datasets_list = [str(x) for x in range(len(valid_datafileList))] #=================================== # Check parameters # itl.print_variables() #Submit the tree print('') good_upload = itl.upload() if good_upload == False: print('There was an error:'+itl.comm.upload_output) return 1 #Export to pdf tree_id = itl.comm.tree_id itol_exporter = itl.get_itol_export() itol_exporter.set_export_param_value('format',"pdf") itol_exporter.set_export_param_value('display_mode',"1") #(1=normal, 2=circular, 3=unrooted) itol_exporter.set_export_param_value('line_width',"1") #itol_exporter.set_export_param_value('align_labels',"1") print(('datasets_visible',",".join(datasets_list))) itol_exporter.set_export_param_value('datasets_visible',",".join(datasets_list)) #epsfile = outpath + os.sep + rootname + '.itolnormal.eps' pdffile = outpath + os.sep + rootname + '.itol_linear.pdf' print('Exporting to pdffile %s'%(pdffile)) itol_exporter.export(pdffile) print(("Phylogenetic tree has been output to %s"%(pdffile))) # }}} def main(g_params):#{{{ argv = sys.argv numArgv = len(argv) if numArgv < 2: PrintHelp() return 1 datapath = "." outpath = './' idList = [] idListFile = '' treefile = "" fastafile = "" i = 1; isNonOptionArg=False while i < numArgv: if isNonOptionArg == True: isNonOptionArg=False; idList.append(sys.argv[i]) i = i + 1; elif sys.argv[i] == "--": isNonOptionArg=True; i = i + 1; elif sys.argv[i][0] == "-": if sys.argv[i] in [ "-h", "--help"]: PrintHelp(); return 1 elif sys.argv[i] in [ "-datapath", "--datapath"]: datapath = sys.argv[i+1] i += 2; elif argv[i] in [ "-m", "--m", "-method", "--method"]: g_params['method'], i = myfunc.my_getopt_str(sys.argv, i) elif sys.argv[i] in [ "-treefile", "--treefile"]: treefile = sys.argv[i+1] i += 2; elif sys.argv[i] in [ "-fastafile", "--fastafile"]: fastafile = sys.argv[i+1] i += 2; elif sys.argv[i] in [ "-l", "--l"]: idListFile = sys.argv[i+1] i = i + 2; elif sys.argv[i] in ["-outpath", "--outpath"]: outpath = sys.argv[i+1]; i = i + 2; else: print(("Error! Wrong argument:%s" % sys.argv[i]), file=sys.stderr); return 1 else: idList.append(sys.argv[i]); i+=1; if idListFile != "": idList += myfunc.ReadIDList(idListFile) if len(idList) > 0: os.system("mkdir -p %s"%outpath) cnt = 0 for pfamid in idList: print("================== ", cnt , pfamid, " ====================") if g_params['method'] == "0": Itol_Tree_m0(pfamid, datapath, outpath) elif g_params['method'] == "1": Itol_Tree_m1(pfamid, datapath, outpath) elif g_params['method'] == "sd1": Itol_Tree_m_sd1(pfamid, datapath, outpath) elif g_params['method'] == "sd2": Itol_Tree_m_sd2(pfamid, datapath, outpath) elif g_params['method'] == "sd3": Itol_Tree_m_sd3(pfamid, datapath, outpath) cnt += 1 if treefile != "": if g_params['method'] == "linear": Itol_Tree_linear(treefile, fastafile, outpath) #}}} def InitGlobalParameter():#{{{ g_params = {} g_params['method'] = "0" return g_params #}}} if __name__ == '__main__' : g_params = InitGlobalParameter() sys.exit(main(g_params))

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null

0

1

779695a6c206665b577fbc40ca7b7a3eb86e2492

1,665

py

Python

scripts/howorka/interpolation_points.py

jhwnkim/nanopores

98b3dbb5d36464fbdc03f59d224d38e4255324ce

[ "MIT" ]

8

2016-09-07T01:59:31.000Z

2021-03-06T12:14:31.000Z

scripts/howorka/interpolation_points.py

jhwnkim/nanopores

98b3dbb5d36464fbdc03f59d224d38e4255324ce

[ "MIT" ]

null

scripts/howorka/interpolation_points.py

jhwnkim/nanopores

98b3dbb5d36464fbdc03f59d224d38e4255324ce

[ "MIT" ]

4

2017-12-06T17:43:01.000Z

2020-05-01T05:41:14.000Z

"create 2D point set for Howorka model where force shall be evaluated." import numpy as np from itertools import product import math import matplotlib.pyplot as plt import nanopores gauss = np.polynomial.legendre.leggauss nanopores.add_params( h = 0.5, hout = 1., Ry = 10., Rx = 3., ) def points(h, hout, r0, r, l0, Rx, Ry): # effective pore radius for molecule R = r0 - r # get scaled 1D gauss quadrature nodes # for x grid inside pore # this has h = h/2 to resolve the thin region k = int(math.ceil(R/h*2.)) x, w = gauss(2*k + 1) x = R*x[k:] # get uniform y grid inside pore m = int(math.ceil(2.*l0/h)) y = np.linspace(-l0-r+h/2, l0+r-h/2, m) # list of (x,y) values in pore Xpore = list(product(x, y)) # gauss x grid outside l = int(math.ceil(Rx/h)) x, w = gauss(2*l) x = Rx-Rx*x[l:] #x = np.linspace(0., Rx, l) # gauss y grid outside L = (Ry-l0-r) n = int(math.ceil(L/hout)) y, w = gauss(2*n) yp = l0+r + L + L*y[:n] ym = -yp Xtop = list(product(x, yp)) Xbot = list(product(x, ym)) # combine X = Xtop + Xpore + Xbot return X # TODO: more points at edge y=l0 in x=0,r0 ? # load parameters and create points from nanopores.tools import fields from nanopores.geometries.H_cyl_geo.params_geo import r0, rMolecule, l0, r1 X = points(h, hout, r0, rMolecule, l0/2, r1 + rMolecule, Ry) x, y = [z[0] for z in X], [z[1] for z in X] plt.scatter(x, y) plt.show() #fields.save_entries("xforce", PARAMS, X=X, N=len(X)) #print "Created and stored %d evaluation points." %(len(X),) #fields.update()

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0.030919

0.261862

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0

null

0

null

0

1

0

1

77986af2fb4a4ca5a35c228e734e2824ebae00e3

248

py

Python

object_oriented_programming/exercise_online_shopping/review.py

jepster/python_advanced_techniques

f4b0e0dda7b66be55f650f9f902e735d3f5a9f64

[ "MIT" ]

null

object_oriented_programming/exercise_online_shopping/review.py

jepster/python_advanced_techniques

f4b0e0dda7b66be55f650f9f902e735d3f5a9f64

[ "MIT" ]

null

object_oriented_programming/exercise_online_shopping/review.py

jepster/python_advanced_techniques

f4b0e0dda7b66be55f650f9f902e735d3f5a9f64

[ "MIT" ]

null

class Review: def __init__(self, content, user, product): self.content = content self.user = user self.product = product def __str__(self): return f"Review of {self.product} by {self.user}: '{self.content}'"

31

75

0.616935

31

248

4.677419

0.419355

0.227586

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0.262097

248

8

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null

1

0

1

0

null

0

1

0

1

0

5

77a0fbf28b7a82846992531063e6db757b73b21f

961

py

Python

dk/topdanmark/pythonsampleapplication/calculator.py

ManishGandhiDodda/pythontest

0b803eba8a0f78d63fea92471f0360b9458e258b

[ "MIT" ]

null

dk/topdanmark/pythonsampleapplication/calculator.py

ManishGandhiDodda/pythontest

0b803eba8a0f78d63fea92471f0360b9458e258b

[ "MIT" ]

null

dk/topdanmark/pythonsampleapplication/calculator.py

ManishGandhiDodda/pythontest

0b803eba8a0f78d63fea92471f0360b9458e258b

[ "MIT" ]

null

import math """ Class Calculator This class does some simple mathematic operations. """ class Calculator: """Class Calculator""" @staticmethod def addition(a, b): """ addition Takes two numbers and adds them. """ return a + b @staticmethod def subtraction(a, b): """ subtraction Takes two numbers and subtracts the second from the first. """ return a - b @staticmethod def multiplication(a, b): """ multiplication Takes two numbers and multiplies them. """ return a * b @staticmethod def division(a, b): """ division Takes two numbers and divides the first by the first. """ return a/b @staticmethod def floor_it(a): """ floor_it Rounds the number down to the nearest integer. """ return math.floor(a)

16.568966

66

0.5359

102

961

5.029412

0.401961

0.031189

0.116959

0.140351

0.226121

0.120858

0

0.380853

961

57

67

16.859649

0.862185

0.319459

0

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0

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false

0

0.058824

0

0.705882

0

null

0

null

0

1

0

1

0

2

77a214f5777df7a0c6f55cff48bff29b3f5f4ff6

1,961

py

Python

capture/command_scripts/stream_handler.py

CenturyLink/ExpertDHCP

4dbcd36da7468b9a95a7869df19172fe890cefd2

[ "MIT" ]

1

2022-03-08T00:38:33.000Z

capture/command_scripts/stream_handler.py

aaronlumen/ExpertDHCP

4dbcd36da7468b9a95a7869df19172fe890cefd2

[ "MIT" ]

null

capture/command_scripts/stream_handler.py

aaronlumen/ExpertDHCP

4dbcd36da7468b9a95a7869df19172fe890cefd2

[ "MIT" ]

2

2022-02-11T17:13:48.000Z

2022-03-08T00:36:03.000Z

import subprocess import shlex import re import json class StreamHandler(object): """ A singleton class to handle the stream of dump and return stdout in generator fashion """ __instance = None def __init__(self, dhcp_dump_command="sudo {} -i {}", dump_path='/usr/bin/dhcpdump_json', dump_if='eno1', msg_sep_regex=r'(-{5,})'): self.dhcp_dump_command = dhcp_dump_command.format(dump_path, dump_if) self.message_seperator_pattern = re.compile(msg_sep_regex) self.last_field = None if StreamHandler.__instance is not None: print("Instance already exists for singleton class StreamHandler") raise Exception("This class is a singleton!") else: print("Created instance of class StreamHandler") StreamHandler.__instance = self def generate_dump(self): try: print(shlex.split(self.dhcp_dump_command)) dhcp_dump_stream_process = subprocess.Popen(shlex.split(self.dhcp_dump_command), stdout=subprocess.PIPE, stderr=subprocess.PIPE) # print("Killable PID dhcpdump",dhcp_dump_stream_process.pid) for msg in dhcp_dump_stream_process.stdout: print('-' * 100) print(msg) print('-' * 100) yield json.loads(msg) except Exception as excp: import sys, os print("some exception occured in stream handler") print(excp) exc_type, exc_obj, exc_tb = sys.exc_info() print('%s, %s, %s', exc_type, exc_obj, exc_tb) fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1] print('%s, %s, %s', str(exc_type), str(fname), str(exc_tb.tb_lineno))

36.314815

92

0.562978

225

1,961

4.657778

0.422222

0.061069

0.071565

0.072519

0.123092

0

0.007015

0.345742

1,961

53

93

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0.074452

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0.012311

0

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0.05

false

0

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0.225

0.25

0

null

0

null

0

1

0

77a2496f709dc36f20017daf8f44f502922f1145

4,389

py

Python

pypdnsrest/parsers.py

raspi/pypdnsrest

d45f89721108d0718c791de91c2cdf31ab7cee9b

[ "Apache-2.0" ]

2

2017-05-16T14:45:27.000Z

2018-03-02T08:50:00.000Z

pypdnsrest/parsers.py

raspi/pypdnsrest

d45f89721108d0718c791de91c2cdf31ab7cee9b

[ "Apache-2.0" ]

4

2017-08-19T03:46:25.000Z

2019-04-04T14:13:51.000Z

pypdnsrest/parsers.py

raspi/pypdnsrest

d45f89721108d0718c791de91c2cdf31ab7cee9b

[ "Apache-2.0" ]

1

2020-02-09T17:17:33.000Z

# -*- coding: utf8 -*- """ Convert REST JSON dict to DNSRecordBase classes """ import logging log = logging.getLogger(__name__) from datetime import timedelta from .dnsrecords import DNSRecordBase class RecordParser(): """ Base parser class """ def __init__(self, *args, **kwargs): pass def parse(self, name: str, data: str, ttl: int) -> DNSRecordBase: raise NotImplementedError(u"Parser not implemented.") class SoaRecordParser(RecordParser): def parse(self, name: str, data: str, ttl: int) -> DNSRecordBase: from pypdnsrest.dnsrecords import DNSSoaRecord from pypdnsrest.dnsrecords import DNSSoaRecordData if data.count(u" ") != 6: raise ValueError("Invalid value: '{0}'".format(data)) tmp = data.split(" ") d = DNSSoaRecordData(nameserver=tmp[0], email=tmp[1], serial=int(tmp[2]), refresh=timedelta(seconds=int(tmp[3])), retry=timedelta(seconds=int(tmp[4])), expire=timedelta(seconds=int(tmp[5])), ttl=timedelta(seconds=int(tmp[6]))) rec = DNSSoaRecord(name, timedelta(seconds=ttl)) rec.set_data(d) return rec class MxRecordParser(RecordParser): def parse(self, name: str, data: str, ttl: int) -> DNSRecordBase: from pypdnsrest.dnsrecords import DNSMxRecord from pypdnsrest.dnsrecords import DNSMxRecordData tmp = data.split(" ") d = DNSMxRecordData(priority=int(tmp[0]), server=tmp[1]) rec = DNSMxRecord(name, timedelta(seconds=ttl)) rec.set_data(d) return rec class ARecordParser(RecordParser): def parse(self, name: str, data: str, ttl: int) -> DNSRecordBase: from ipaddress import IPv4Address from pypdnsrest.dnsrecords import DNSARecord rec = DNSARecord(name, timedelta(seconds=ttl)) rec.set_data(IPv4Address(data)) return rec class AaaaRecordParser(RecordParser): def parse(self, name: str, data: str, ttl: int) -> DNSRecordBase: from ipaddress import IPv6Address from pypdnsrest.dnsrecords import DNSAaaaRecord rec = DNSAaaaRecord(name, timedelta(seconds=ttl)) rec.set_data(IPv6Address(data)) return rec class CnameRecordParser(RecordParser): def parse(self, name: str, data: str, ttl: int) -> DNSRecordBase: from pypdnsrest.dnsrecords import DNSCNameRecord rec = DNSCNameRecord(name, timedelta(seconds=ttl)) rec.set_data(data) return rec class NsRecordParser(RecordParser): def parse(self, name: str, data: str, ttl: int) -> DNSRecordBase: from pypdnsrest.dnsrecords import DNSNsRecord rec = DNSNsRecord(name, timedelta(seconds=ttl)) rec.set_data(data) return rec class PtrRecordParser(RecordParser): def _prepare_data(self, data: str): data = data.lower() data = data.replace(u"in-addr.arpa", '') data = data.replace(u"ip6.arpa", '') data = data.strip(".") import re data = re.sub("""[^\da-f\.]*""", '', data, flags=re.IGNORECASE) if data.count(".") < 3: raise ValueError("Invalid data: {0}".format(data)) # Reverse 1.0.168.192 -> 192.168.0.1 return ".".join(data.split(".")[::-1]) def parse(self, name: str, data: str, ttl: int) -> DNSRecordBase: if data.lower().find(u"in-addr.arpa".lower()) > 0: data = self._prepare_data(data) from ipaddress import IPv4Address data = IPv4Address(data) elif data.lower().find(u"ip6.arpa".lower()) > 0: data = self._prepare_data(data) data = "".join(data.split(".")) data = ":".join([data[i:i + 4] for i in range(0, len(data), 4)]) from ipaddress import IPv6Address data = IPv6Address(data) else: raise ValueError(u"Invalid PTR value: '{0}'".format(data)) from pypdnsrest.dnsrecords import DNSPtrRecord rec = DNSPtrRecord(name, timedelta(seconds=ttl)) rec.set_data(data) return rec class TxtRecordParser(RecordParser): def parse(self, name: str, data: str, ttl: int): from pypdnsrest.dnsrecords import DNSTxtRecord rec = DNSTxtRecord(name, timedelta(seconds=ttl)) rec.set_data(data) return rec

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null

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null

0

1

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1

77a4bcb4eb5aca4624577ad893ccf4c83ff54da0

1,388

py

Python

release/stubs.min/System/Security/AccessControl_parts/AuthorizationRuleCollection.py

YKato521/ironpython-stubs

b1f7c580de48528490b3ee5791b04898be95a9ae

[ "MIT" ]

null

release/stubs.min/System/Security/AccessControl_parts/AuthorizationRuleCollection.py

YKato521/ironpython-stubs

b1f7c580de48528490b3ee5791b04898be95a9ae

[ "MIT" ]

null

release/stubs.min/System/Security/AccessControl_parts/AuthorizationRuleCollection.py

YKato521/ironpython-stubs

b1f7c580de48528490b3ee5791b04898be95a9ae

[ "MIT" ]

null

class AuthorizationRuleCollection(ReadOnlyCollectionBase, ICollection, IEnumerable): """ Represents a collection of System.Security.AccessControl.AuthorizationRule objects. AuthorizationRuleCollection() """ def AddRule(self, rule): """ AddRule(self: AuthorizationRuleCollection,rule: AuthorizationRule) """ pass def CopyTo(self, rules, index): """ CopyTo(self: AuthorizationRuleCollection,rules: Array[AuthorizationRule],index: int) Copies the contents of the collection to an array. rules: An array to which to copy the contents of the collection. index: The zero-based index from which to begin copying. """ pass def __getitem__(self, *args): """ x.__getitem__(y) <==> x[y] """ pass def __init__(self, *args): """ x.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signaturex.__init__(...) initializes x; see x.__class__.__doc__ for signature """ pass def __iter__(self, *args): """ __iter__(self: IEnumerable) -> object """ pass InnerList = property(lambda self: object(), lambda self, v: None, lambda self: None) """Gets the list of elements contained in the System.Collections.ReadOnlyCollectionBase instance. """

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1,388

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false

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null

0

null

0

1

0

1

0

1

0

3

77a4ff6d26d09b8ed1fd64033110e651fd78bc73

16,460

py

Python

sudoku_solve2.py

alfille/sudoku_count

871794378c866f024acfc495d20f45478f3a0b99

[ "MIT" ]

null

sudoku_solve2.py

alfille/sudoku_count

871794378c866f024acfc495d20f45478f3a0b99

[ "MIT" ]

null

sudoku_solve2.py

alfille/sudoku_count

871794378c866f024acfc495d20f45478f3a0b99

[ "MIT" ]

null

import sys import tkinter as tk import tkinter.font as tkfont import tkinter.filedialog as tkfile import tkinter.messagebox as tkmessage import argparse import ctypes import platform import signal def signal_handler(signal, frame): print("\nForced end\n") sys.exit(0) class Persist(tk.Frame): SUBSIZE = 3 X = False Window = False Debug = False Fsize = 14 GameStatus="None" Data = None solve_lib = None s_lib={} Lib={} mode = "normal" Legal=True @classmethod def LibSet(cls): for i in range(2,7): cls.Lib[i] = False @classmethod def LibUse(cls): if not cls.Lib[cls.SUBSIZE]: # Shared C library lib_base = "./" #location lib_base += "sudoku2_lib" # base name lib_base += str(cls.SUBSIZE*cls.SUBSIZE) # get the right filename if platform.uname()[0] == "Windows": lib_base += ".dll" if platform.uname()[0] == "Linux": lib_base += ".so" else: lib_base += ".dylib" # load library cls.s_lib[cls.SUBSIZE] = ctypes.cdll.LoadLibrary(lib_base) cls.Lib[cls.SUBSIZE] = True cls.solve_lib = cls.s_lib[cls.SUBSIZE] class Sudoku(tk.Frame): color=["dark blue","yellow"] solution = False def __init__(self, master=None): super().__init__(master) self.SIZE = Persist.SUBSIZE * Persist.SUBSIZE self.TOTALSIZE = self.SIZE * self.SIZE self.master = master self.option_setup() self.Widget() self.Menu() if ( Persist.Data ): self.SetData() else: self.BadData() self.win.update() self.set_win_sizes() def set_win_sizes( self ): # needed for popup self.tilex=self.but[0][0].winfo_width() self.tiley=self.but[0][0].winfo_height() self.popx = self.tilex*Persist.SUBSIZE self.popy = self.tiley*Persist.SUBSIZE self.winx = self.win.winfo_screenwidth() self.winy = self.win.winfo_screenheight() def UnRed( self ): if self.solution: # need to clear old solution for i in range(self.SIZE): for j in range(self.SIZE): self.but[i][j].configure(fg="black") self.solution = False def set_square(self,i,j,n): self.but[i][j].configure(text=n) self.popup_done( i , j ) self.UnRed() def popup_done( self, i, j ): self.pop.destroy() self.but[i][j].configure(relief="raised") self.Status() def Status( self ): self.status.configure(text="Edit mode") if ( Persist.GameStatus == "Unique" ): self.status.configure( text=["Unsolvable","Unique","Not unique"][self.Unique()] ) def popup_force_done( self, i, j, force ): self.pop.destroy() self.but[i][j].configure(relief="raised") self.Status() self.Popup(i,j,not force) def Popup( self,i,j,force): self.but[i][j].configure(relief="sunken") self.pop=tk.Toplevel() show = False if Persist.Legal: goodlist = self.Available(i,j) else: goodlist = [x+1 for x in range(self.SIZE)] t = [0 for n in range(self.SIZE+1)] # figure location self.win.update() x = self.but[i][j].winfo_rootx()+self.tilex y = self.but[i][j].winfo_rooty() if x+self.popx > self.winx: x -= self.tilex+self.popx if x<0: x=0 if y+self.popy > self.winy: y = self.winy - self.popy self.pop.geometry('+%d+%d' % (x,y) ) for si in range(Persist.SUBSIZE): for sj in range(Persist.SUBSIZE): n = si*Persist.SUBSIZE+sj+1 t[n]=tk.Button(self.pop,text=str(n),borderwidth=3,height=1,width=1,font=self.font, state='normal' if (n in goodlist) or not force else 'disabled', command=lambda i=i,j=j,n=str(n): self.set_square(i,j,n)) t[n].grid(row=si+1,column=sj) if 0 in goodlist: tk.Button(self.pop,text="force" if force else "unforce",borderwidth=3,height=1,font=self.font,command=lambda i=i,j=j: self.popup_force_done(i,j,force)).grid(row=0,columnspan=Persist.SUBSIZE,sticky="EW") tk.Button(self.pop,text="Clear",borderwidth=3,height=1,font=self.font,command=lambda i=i,j=j,n=" ": self.set_square(i,j,n)).grid(columnspan=Persist.SUBSIZE,sticky="EW") tk.Button(self.pop,text="Back",borderwidth=3,height=1,font=self.font,command=lambda i=i,j=j: self.popup_done(i,j)).grid(columnspan=Persist.SUBSIZE,sticky="EW") self.pop.grab_set() def Clear(self): self.status.configure(text="Clearing...") for i in range(self.SIZE): for j in range(self.SIZE): self.but[i][j].configure(text=" ") self.Status() self.UnRed() def Solve(self): self.status.configure(text="Solving...") self.master.update() arr = (ctypes.c_int * self.TOTALSIZE)(-1) k = 0 self.solution = True for i in range(self.SIZE): for j in range(self.SIZE): arr[k] = -1 # default blank t = self.but[i][j].cget('text') if t != " ": arr[k] = int(t) # 1-based values for squares self.but[i][j].configure(fg="red") else: arr[k] = 0 k += 1 x = 1 if Persist.X else 0 w = 1 if Persist.Window else 0 d = 1 if Persist.Debug else 0 sol = Persist.solve_lib.Solve(x,w,d,arr) while True: if sol == 0: self.status.configure(text="Not solvable") for i in range(self.SIZE): for j in range(self.SIZE): if self.but[i][j].cget('fg') != 'red': self.but[i][j].configure(text=" ") self.master.update() break if sol == 1: self.status.configure(text="Successfully solved") k = 0 for i in range(self.SIZE): for j in range(self.SIZE): if arr[k] > 0 : self.but[i][j].configure(text=str(arr[k])) # 1-based text values if self.but[i][j].cget('fg') == 'blue': self.but[i][j].configure(fg='black') else: self.but[i][j].configure(text=" ") k += 1 self.master.update() break if sol < 0: self.status.configure(text="<"+str(-sol)+"> Still solving...") k = 0 for i in range(self.SIZE): for j in range(self.SIZE): if self.but[i][j].cget('fg') != 'red': self.but[i][j].configure(fg='blue') if arr[k] > 0 : self.but[i][j].configure(text=str(arr[k])) # 1-based text values else: self.but[i][j].configure(text=" ") k += 1 self.master.update() sol = Persist.solve_lib.Resume() def Test( self ): if not self.just_test(): tkmessage.showinfo("Position test","Not valid") def Available(self,testi,testj): arr = (ctypes.c_int * self.TOTALSIZE)(-1) ret = (ctypes.c_int * self.SIZE)(-1) k = 0 for i in range(self.SIZE): for j in range(self.SIZE): t = self.but[i][j].cget('text') if i==testi and j==testj: # blank tested location arr[k] = 0 elif t != " ": arr[k] = int(t) # 1-based values for squares self.but[i][j].configure(fg="red") else: arr[k] = 0 k += 1 x = 1 if Persist.X else 0 w = 1 if Persist.Window else 0 d = 1 if Persist.Debug else 0 Persist.solve_lib.TestAvailable(x,w,d,testi, testj, arr,ret) return ret def Unique(self): arr = (ctypes.c_int * self.TOTALSIZE)(-1) k = 0 for i in range(self.SIZE): for j in range(self.SIZE): t = self.but[i][j].cget('text') if t != " ": arr[k] = int(t) # 1-based values for squares else: arr[k] = 0 k += 1 x = 1 if Persist.X else 0 w = 1 if Persist.Window else 0 d = 1 if Persist.Debug else 0 return Persist.solve_lib.TestUnique(x,w,d, arr) def just_test(self): arr = (ctypes.c_int * self.TOTALSIZE)(-1) k = 0 for i in range(self.SIZE): for j in range(self.SIZE): t = self.but[i][j].cget('text') if t != " ": arr[k] = int(t) # 1-based values for squares self.but[i][j].configure(fg="red") else: arr[k] = 0 k += 1 x = 1 if Persist.X else 0 w = 1 if Persist.Window else 0 d = 1 if Persist.Debug else 0 return (Persist.solve_lib.Test(x,w,d,arr)==1) def Quit(self): sys.exit() self.master.quit() def Widget(self): self.win = tk.Frame(self.master,borderwidth=2,relief="flat",background="white") self.win.pack(side="top") self.buttons=tk.Frame(self.master,borderwidth=2,relief="flat",background="white") if Persist.SUBSIZE > 2: tk.Label(self.buttons,text=" {0}x{0} ".format(self.SIZE),relief="sunken",anchor="c",font=self.font).pack(side="left",fill=tk.Y) tk.Button(self.buttons,text="Solve",command=self.Solve,font=self.font).pack(side="left") tk.Button(self.buttons,text="Clear",command=self.Clear,font=self.font).pack(side="left") tk.Button(self.buttons,text="Exit",command=self.Quit,font=self.font).pack(side="left") self.status = tk.Label(self.buttons,text="Edit mode",relief="sunken",anchor="e") self.status.pack(side="left",fill="both",expand=1) self.buttons.pack(side="bottom",fill=tk.X) self.but = [[0 for i in range(self.SIZE)] for j in range(self.SIZE)] for si in range(Persist.SUBSIZE): for sj in range(Persist.SUBSIZE): f = tk.Frame(self.win,background=self.color[(si+sj)%2],borderwidth=2,relief="flat") f = tk.Frame(self.win,background=self.color[(si+sj)%2],borderwidth=2,relief="flat") f.grid(row=si,column=sj) for ssi in range(Persist.SUBSIZE): for ssj in range(Persist.SUBSIZE): i = si*Persist.SUBSIZE+ssi j = sj*Persist.SUBSIZE+ssj self.but[i][j] = tk.Button(f,text=" ",borderwidth=3,height=1,width=1,font=self.font,command=lambda i=i,j=j: self.Popup(i,j,True)) self.but[i][j].grid(row=ssi, column=ssj) if Persist.X and ((i==j) or (i == self.SIZE-j-1)): self.but[i][j].configure(background="light yellow") if Persist.Window: if (i % (Persist.SUBSIZE+1) > 0) and (j % (Persist.SUBSIZE+1) > 0): self.but[i][j].configure(background="aquamarine") if Persist.X and ((i==j) or (i == self.SIZE-j-1)): self.but[i][j].configure(background="pale green") self.Status() def BadData( self ): for i in range(self.SIZE): for j in range(self.SIZE): self.but[i][j].configure(text=str(1+(i+j)%self.SIZE)) def SetData( self ): for i in range(self.SIZE): for j in range(self.SIZE): self.but[i][j].configure(fg='black') s = str(Persist.Data[i][j]) if s == '0': s = ' ' self.but[i][j].configure(text=s) # 1-based text values Persist.Data = None def about(self): print("Sudoku Solve by Paul Alfille 2020") def Size(self) : if ( self.ss_choose != Persist.SUBSIZE ): Persist.SUBSIZE = self.ss_choose.get() self.master.destroy() def Option(self): if Persist.X != self.X.get(): Persist.X = self.X.get() self.master.destroy() if Persist.Window != self.Window.get(): Persist.Window = self.Window.get() self.master.destroy() Persist.Debug = self.Debug.get() Persist.Legal = self.Legal.get() def option_setup(self): # match with Option(), set in Menu() self.font = tkfont.Font(weight="bold",size=Persist.Fsize) #self.pack() self.X = tk.BooleanVar() self.X.set(Persist.X) self.Window = tk.BooleanVar() self.Window.set(Persist.Window) self.Debug = tk.BooleanVar() self.Debug.set(Persist.Debug) self.Legal = tk.BooleanVar() self.Legal.set(Persist.Legal) def fsize( self, f ): if ( f != Persist.Fsize ) : Persist.Fsize = f self.master.destroy() def set_status( self, s ): Persist.GameStatus = s self.Status() def Menu(self): self.menu = tk.Menu(self.master,tearoff=0) self.filemenu = tk.Menu(self.menu,tearoff=0) self.menu.add_cascade(label="File",menu=self.filemenu,font=self.font) self.filemenu.add_command(label="Load",command=self.Load,font=self.font) self.filemenu.add_command(label="Save",command=self.Save,font=self.font) self.filemenu.add_command(label="Solve",command=self.Solve,font=self.font) self.filemenu.add_command(label="Test",command=self.Test,font=self.font) self.filemenu.add_command(label="Clear",command=self.Clear,font=self.font) self.filemenu.add_command(label="Exit",command=self.Quit,font=self.font) self.sizemenu = tk.Menu(self.menu,tearoff=0) self.menu.add_cascade(label="Size",menu=self.sizemenu,font=self.font) self.ss_choose = tk.IntVar() ss_choose = Persist.SUBSIZE for ss in range(2,7): self.sizemenu.add_radiobutton(label=("> " if ss == Persist.SUBSIZE else "")+str(ss*ss)+"x"+str(ss*ss), value=ss, variable=self.ss_choose, command=self.Size,font=self.font) self.optmenu = tk.Menu(self.menu,tearoff=0) self.menu.add_cascade(label="Options",menu=self.optmenu,font=self.font) self.optmenu.add_checkbutton(label="X pattern",onvalue=True,offvalue=False,variable=self.X,font=self.font,command=self.Option) self.optmenu.add_checkbutton(label="Window pane",onvalue=True,offvalue=False,variable=self.Window,font=self.font,command=self.Option) self.optmenu.add_checkbutton(label="Debugging data",onvalue=True,offvalue=False,variable=self.Debug,font=self.font,command=self.Option) self.optmenu.add_checkbutton(label="Legal choices",onvalue=True,offvalue=False,variable=self.Legal,font=self.font,command=self.Option) self.fontmenu = tk.Menu(self.optmenu,tearoff=0) self.optmenu.add_cascade(label="Font size",menu=self.fontmenu,font=self.font) for ff in [6,8,10,14,18,22,26]: self.fontmenu.add_command(label=("> " if ff==Persist.Fsize else "")+str(ff),font=self.font, command=lambda ff=ff: self.fsize(ff)) self.statusmenu = tk.Menu(self.optmenu,tearoff=0) self.optmenu.add_cascade(label="Game state status",menu=self.statusmenu,font=self.font) for ss in ["None","Unique"]: self.statusmenu.add_command(label=("> " if ss==Persist.GameStatus else "")+ss, font=self.font, command=lambda ss=ss: self.set_status(ss)) self.helpmenu = tk.Menu(self.menu,tearoff=0) self.menu.add_cascade(label="Help",menu=self.helpmenu,font=self.font) self.helpmenu.add_command(label="About",command=self.about,font=self.font) self.master.config(menu=self.menu) def Load( self ): Lfile = tkfile.askopenfile(mode="r",filetypes=[("Comma-separated-values","*.csv"),("All files","*.*")],title="Load a sudoku",parent=self.master) if Lfile: try: i = 0 Window = False X = False for line in Lfile: if '#' in line: [line,comment]=line.split('#') if "=" in comment: [var,val] = line.split("=") else: [var,val] = [comment,"true"] if var == "window": Window = (val=="true") if var == "X": X = (val=="true") if ',' in line: v = line.split(',') if i == 0 : #first line, check size Lsize = len(v) if Lsize not in [4,9,16,25,36]: tkmessage.showerror("File error","Not a recognized size") Persist.Data=None break Persist.Data = [[0 for i in range(self.SIZE)] for j in range(self.SIZE)] else: if len(v) != Lsize: tkmessage.showerror("File error","Value lists not the same size") Persist.Data=None break Persist.Data[i] = [int(x) if x.isnumeric() else 0 for x in list(map(lambda s:s.strip(),v)) ] if max(Persist.Data[i]) > Lsize or min(Persist.Data[i]) < 0 : tkmessage.showerror("File error","Value out of range") Persist.Data=None break i += 1 if i == Lsize: #done Persist.X = X Persist.Window = Window Persist.SUBSIZE = [x*x for x in range(7)].index(Lsize) self.master.destroy() Lfile.close() except UnicodeDecodeError: tkmessage.showerror("Unreadable","File contains unreadable characters") Persist.Data=None return def Save( self ): filename = tkfile.asksaveasfilename(filetypes=[("Comma-separated-values","*.csv"),("All files","*.*")],title="Save this sudoku board",parent=self.master) if filename: with open(filename,'w') as Sfile: if Persist.Window: Sfile.write("# window\n") if Persist.X: Sfile.write("# X\n") Sfile.write("\n".join([",".join([self.but[i][j].cget("text") for j in range(self.SIZE)]) for i in range(self.SIZE)])+"\n") def Libs(): # returns a dict s_lib={} for ss in range(2,7): # Shared C library lib_base = "./" #location lib_base += "sudoku2_lib" # base name lib_base += str(ss*ss) # get the right filename if platform.uname()[0] == "Windows": lib_base += ".dll" if platform.uname()[0] == "Linux": lib_base += ".so" else: lib_base += ".dylib" # load library global solve_lib s_lib[ss] = ctypes.cdll.LoadLibrary(lib_base) return s_lib def main(args): # keyboard interrupt signal.signal(signal.SIGINT, signal_handler) # set up library dist #global solve_lib #s_lib = Libs() Persist.LibSet() while True: # load library Persist.LibUse() Sudoku(master=tk.Tk()).mainloop() if __name__ == "__main__": # execute only if run as a script sys.exit(main(sys.argv))

30.881801

207

0.646355

2,634

16,460

3.998481

0.129841

0.010444

0.025826

0.029054

0.50883

0.43496

0.396316

0.352165

0.321401

0.312856

0

0.011716

0.18068

16,460

532

208

30.93985

0.769242

0.036817

0

0.372685

0

0.064223

0.002781

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0.074074

false

0

0.020833

0

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0.00463

0

null

0

null

0

1

0

77a51fcecb6daeb1528498330dad731bde24172c

1,549

py

Python

Text_to_speech_GAN/waveFiles.py

scotty110/ANN-code

05ae6094dfe98c1c9fd0feb87ffb0c0c5206502a

[ "MIT" ]

null

Text_to_speech_GAN/waveFiles.py

scotty110/ANN-code

05ae6094dfe98c1c9fd0feb87ffb0c0c5206502a

[ "MIT" ]

null

Text_to_speech_GAN/waveFiles.py

scotty110/ANN-code

05ae6094dfe98c1c9fd0feb87ffb0c0c5206502a

[ "MIT" ]

null

import scipy.io.wavfile as siow import scipy.signal as ssr import matplotlib.pyplot as plt import numpy as np import math def groupNumpy(to_group_array, interval, debug=True): ''' Breaks numpy array into an array of arrays. Where each array is <interval> long. Inputs: to_group_array - array we wish to break down into sub intervals interval - interval length we wish to break down into Outputs: 2D array of size [len/interval, interval] ''' n = math.ceil( len(to_group_array)/(interval*1.0) ) if(debug): print("array lenth: ", len(to_group_array)) print("N: ", n) # Make 2D array output_array = np.zeros((n,interval,2)) for i in range(0,n,1): output_array[i] = to_group_array[(i*interval):((i+1)*interval)] return output_array filename = "hello.wav" audio_tuple = siow.read(filename) audio_array = audio_tuple[1] print("Sample rate: ", audio_tuple[0]) #Assuming sample rate is 16 khz, want to break into 20 ms chucks grouped_array = groupNumpy(audio_array, 320) #print("differenc: ", grouped_array[1]) #print("true segment: ", audio_array[320:2*320]) print("Difference: ", np.sum(grouped_array[1]-audio_array[320:2*320]) ) #2D sound is multi channel sound ''' #Plots look about the same (probably are), so assuming down sampling works for now plt.plot( audio_new, color="orange" ) plt.ylabel('sound wave') plt.show() ''' ''' Used as a outline for code: https://medium.com/@ageitgey/machine-learning-is-fun-part-6-how-to-do-speech-recognition-with-deep-learning-28293c162f7a '''

28.163636

120

0.712718

247

1,549

4.37247

0.489879

0.032407

0.055556

0.037037

0.07037

0.038889

0

0.033742

0.158167

1,549

55

121

28.163636

0.794479

0.297611

0

0.067295

0

1

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false

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0.35

0.2

0

null

0

null

0

1

0

77a564e8a33b0b8bdb5861341a41f636b8f577fb

389

py

Python

test/test_nesting.py

zauberzeug/binding

8b09b15e3675c68850b81d7253f1eb24245ee76b

[ "MIT" ]

1

2022-01-07T03:22:19.000Z

test/test_nesting.py

zauberzeug/binding

8b09b15e3675c68850b81d7253f1eb24245ee76b

[ "MIT" ]

null

test/test_nesting.py

zauberzeug/binding

8b09b15e3675c68850b81d7253f1eb24245ee76b

[ "MIT" ]

null

from binding import BindableProperty class A: x = BindableProperty() def __init__(self, x): self.x = x def bind_x_to(self, target): self.x.bind_to(target, nesting=1) class B: y = BindableProperty() def __init__(self, y): self.y = y def test_nesting(): a = A(1) b = B(2) a.bind_x_to(b.y) assert a.x == 1 and b.y == 1

12.966667

41

0.562982

62

389

3.306452

0.33871

0.073171

0.22439

0.263415

0

0.018657

0.311054

389

29

42

13.413793

0.746269

0

0.0625

1

0.25

false

0

0.0625

0

0.5625

0

null

0

1

0

null

0

1

0

1

0

4

77a746913532d4c25ca26f69e46343bc6271ae0e

790

py

Python

Tools/Individual Tools/Big Build Calculator.py

TheUncannyScrub/PythonMinecraftTools

1ff5cf53f195cff41c33dc39a461ee94c6edf510

[ "MIT" ]

null

Tools/Individual Tools/Big Build Calculator.py

TheUncannyScrub/PythonMinecraftTools

1ff5cf53f195cff41c33dc39a461ee94c6edf510

[ "MIT" ]

null

Tools/Individual Tools/Big Build Calculator.py

TheUncannyScrub/PythonMinecraftTools

1ff5cf53f195cff41c33dc39a461ee94c6edf510

[ "MIT" ]

null

import os import sys import random import math from time import * import decimal print('Minecraft Resource Calculator') print('Enter the individual items and the calculator will') print('tell you how many chest or stacks it is!') print('*Only works for items that stack up to 64*') sleep(1) while True: try: print('Enter an amount of individual items') numinput = float(input('Here: ')) stacks = (numinput) / 64 chests = (numinput) / 1728 dubchest = (numinput) / 3456 print(round(stacks,2), "Stack(s)") print(round(chests,2), "Chest(s)") print(round(dubchest,2), "Double Chest(s)") break except: print('You must enter a number!') sleep(2) input('Press ENTER to exit')

25.483871

60

0.616456

105

790

4.638095

0.590476

0.061602

0.045175

0

0.029463

0.26962

790

31

61

25.483871

0.814558

0

0.362681

0

1

0

false

0

0.230769

0

0.230769

0.346154

0

null

0

null

0

1

0

77abe08317bc71eea3c52df6cb5e00aa0db46e67

8,183

py

Python

venv/lib/python3.8/site-packages/spaceone/api/identity/v1/domain_owner_pb2_grpc.py

choonho/plugin-prometheus-mon-webhook

afa7d65d12715fd0480fb4f92a9c62da2d6128e0

[ "Apache-2.0" ]

null

venv/lib/python3.8/site-packages/spaceone/api/identity/v1/domain_owner_pb2_grpc.py

choonho/plugin-prometheus-mon-webhook

afa7d65d12715fd0480fb4f92a9c62da2d6128e0

[ "Apache-2.0" ]

null

venv/lib/python3.8/site-packages/spaceone/api/identity/v1/domain_owner_pb2_grpc.py

choonho/plugin-prometheus-mon-webhook

afa7d65d12715fd0480fb4f92a9c62da2d6128e0

[ "Apache-2.0" ]

null

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! """Client and server classes corresponding to protobuf-defined services.""" import grpc from google.protobuf import empty_pb2 as google_dot_protobuf_dot_empty__pb2 from spaceone.api.identity.v1 import domain_owner_pb2 as spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2 class DomainOwnerStub(object): """Missing associated documentation comment in .proto file.""" def __init__(self, channel): """Constructor. Args: channel: A grpc.Channel. """ self.create = channel.unary_unary( '/spaceone.api.identity.v1.DomainOwner/create', request_serializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.CreateDomainOwner.SerializeToString, response_deserializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.DomainOwnerInfo.FromString, ) self.update = channel.unary_unary( '/spaceone.api.identity.v1.DomainOwner/update', request_serializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.UpdateDomainOwner.SerializeToString, response_deserializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.DomainOwnerInfo.FromString, ) self.delete = channel.unary_unary( '/spaceone.api.identity.v1.DomainOwner/delete', request_serializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.DomainOwnerRequest.SerializeToString, response_deserializer=google_dot_protobuf_dot_empty__pb2.Empty.FromString, ) self.get = channel.unary_unary( '/spaceone.api.identity.v1.DomainOwner/get', request_serializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.GetDomainOwnerRequest.SerializeToString, response_deserializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.DomainOwnerInfo.FromString, ) class DomainOwnerServicer(object): """Missing associated documentation comment in .proto file.""" def create(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def update(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def delete(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def get(self, request, context): """Missing associated documentation comment in .proto file.""" context.set_code(grpc.StatusCode.UNIMPLEMENTED) context.set_details('Method not implemented!') raise NotImplementedError('Method not implemented!') def add_DomainOwnerServicer_to_server(servicer, server): rpc_method_handlers = { 'create': grpc.unary_unary_rpc_method_handler( servicer.create, request_deserializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.CreateDomainOwner.FromString, response_serializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.DomainOwnerInfo.SerializeToString, ), 'update': grpc.unary_unary_rpc_method_handler( servicer.update, request_deserializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.UpdateDomainOwner.FromString, response_serializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.DomainOwnerInfo.SerializeToString, ), 'delete': grpc.unary_unary_rpc_method_handler( servicer.delete, request_deserializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.DomainOwnerRequest.FromString, response_serializer=google_dot_protobuf_dot_empty__pb2.Empty.SerializeToString, ), 'get': grpc.unary_unary_rpc_method_handler( servicer.get, request_deserializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.GetDomainOwnerRequest.FromString, response_serializer=spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.DomainOwnerInfo.SerializeToString, ), } generic_handler = grpc.method_handlers_generic_handler( 'spaceone.api.identity.v1.DomainOwner', rpc_method_handlers) server.add_generic_rpc_handlers((generic_handler,)) # This class is part of an EXPERIMENTAL API. class DomainOwner(object): """Missing associated documentation comment in .proto file.""" @staticmethod def create(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/spaceone.api.identity.v1.DomainOwner/create', spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.CreateDomainOwner.SerializeToString, spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.DomainOwnerInfo.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def update(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/spaceone.api.identity.v1.DomainOwner/update', spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.UpdateDomainOwner.SerializeToString, spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.DomainOwnerInfo.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def delete(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/spaceone.api.identity.v1.DomainOwner/delete', spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.DomainOwnerRequest.SerializeToString, google_dot_protobuf_dot_empty__pb2.Empty.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata) @staticmethod def get(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None): return grpc.experimental.unary_unary(request, target, '/spaceone.api.identity.v1.DomainOwner/get', spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.GetDomainOwnerRequest.SerializeToString, spaceone_dot_api_dot_identity_dot_v1_dot_domain__owner__pb2.DomainOwnerInfo.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

49

135

0.70121

857

8,183

6.240373

0.12252

0.047307

0.060209

0.069933

0.867801

0.861818

0.848729

0.814136

0.753179

0.731862

0

0.009519

0.229745

8,183

166

136

49.295181

0.838966

0.076867

0

0.548872

1

0

0.078455

0.051056

0

1

0.075188

false

0

0.022556

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0.150376

0

null

0

1

0

1

0

null

0

7

77ac836929fce76c6241d61d0546b8b5bdacebd5

10,283

py

Python

data/GoogleTrans/preprocess.py

wasiahmad/GATE

1e48504a3641f00265a271a19eb6b6449fdc33bd

[ "MIT" ]

24

2020-12-07T10:22:40.000Z

2022-03-31T09:24:13.000Z

data/GoogleTrans/preprocess.py

wasiahmad/GATE

1e48504a3641f00265a271a19eb6b6449fdc33bd

[ "MIT" ]

15

2021-03-22T04:52:57.000Z

2022-01-01T18:32:31.000Z

data/GoogleTrans/preprocess.py

wasiahmad/GATE

1e48504a3641f00265a271a19eb6b6449fdc33bd

[ "MIT" ]

8

2021-03-04T05:09:42.000Z

2022-01-25T12:59:19.000Z

import json import os from udpipe import Model from conllu import parse from collections import OrderedDict model_map = { 'en': 'udpipe/english-ewt-ud-2.5-191206.udpipe', 'zh': 'udpipe/chinese-gsd-ud-2.5-191206.udpipe', 'ar': 'udpipe/arabic-padt-ud-2.5-191206.udpipe' } def find_span(offsets, begin_offset, end_offset): """Match token offsets with the char begin/end offsets of the answer.""" start = [i for i, tok in enumerate(offsets) if tok[0] == begin_offset] if len(start) == 0: start = [i for i, tok in enumerate(offsets) if tok[0] < begin_offset < tok[1]] end = [i for i, tok in enumerate(offsets) if tok[1] == end_offset] if len(end) == 0: end = [i for i, tok in enumerate(offsets) if tok[0] < end_offset < tok[1]] assert (len(start) <= 1) assert (len(end) <= 1) if len(start) == 1 and len(end) == 1: return start[0], end[0] return False def load_conllu(conllu_text): conllu_data = [] sentences = parse(conllu_text) for idx, sentence in enumerate(sentences): tokens, upos, head, deprel, offset = [], [], [], [], [] reserved_offsets = [] for widx, word in enumerate(sentence): if isinstance(word['id'], tuple): # multi-word token, e.g., word['id'] = (4, '-', 5) assert len(word['id']) == 3 indices = word['misc']['TokenRange'].split(':') reserved_offsets.append([int(indices[0]), int(indices[1])]) else: tokens.append(word['form']) upos.append(word['upostag']) head.append(word['head']) deprel.append(word['deprel']) if word['misc'] is not None: # single-word token indices = word['misc']['TokenRange'].split(':') offset.append([int(indices[0]), int(indices[1])]) elif len(reserved_offsets) > 0: offset.append(reserved_offsets.pop()) else: offset.append([-1, -1]) assert len(tokens) == len(offset) sent_obj = OrderedDict([ ('token', tokens), ('stanford_pos', upos), ('stanford_head', head), ('stanford_deprel', deprel), ('offset', offset) ]) conllu_data.append(sent_obj) return conllu_data def preprocess(srcfile): with open(srcfile) as f: data = json.load(f) confusing = 0 returned_data = [] for ex in data: if ex['parallel'].count('<b>') > 1: confusing += 1 continue elif ex['parallel'].count('</b>') > 1: confusing += 1 continue elif ex['parallel'].count('<i>') > 1: confusing += 1 continue elif ex['parallel'].count('</i>') > 1: confusing += 1 continue parallel_sent = ex['parallel'] subj_start = parallel_sent.find('<b>') subj_end = parallel_sent.find('</b>') obj_start = parallel_sent.find('<i>') obj_end = parallel_sent.find('</i>') if subj_start > subj_end: confusing += 1 continue elif obj_start > obj_end: confusing += 1 continue if subj_end < obj_start: # subj is in the left of obj position = ['subj_start', 'subj_end', 'obj_start', 'obj_end'] elif obj_end < subj_start: # obj is in the left of subj position = ['obj_start', 'obj_end', 'subj_start', 'subj_end'] elif subj_start < obj_start < subj_end: position = ['subj_start', 'obj_start'] if obj_end < subj_end: position += ['obj_end', 'subj_end'] else: position += ['subj_end', 'obj_end'] elif obj_start < subj_start < obj_end: position = ['obj_start', 'subj_start'] if subj_end < obj_end: position += ['subj_end', 'obj_end'] else: position += ['obj_end', 'subj_end'] else: raise ValueError() # print(parallel_sent) for item in position: if item == 'subj_start': real_ss = parallel_sent.find('<b>') parallel_sent = parallel_sent.replace('<b>', '') elif item == 'subj_end': real_se = parallel_sent.find('</b>') parallel_sent = parallel_sent.replace('</b>', '') elif item == 'obj_start': real_os = parallel_sent.find('<i>') parallel_sent = parallel_sent.replace('<i>', '') elif item == 'obj_end': real_oe = parallel_sent.find('</i>') parallel_sent = parallel_sent.replace('</i>', '') if real_ss == real_se: confusing += 1 continue elif real_os == real_oe: confusing += 1 continue ex['parallel'] = { 'sentence': parallel_sent, 'subj_pos': [real_ss, real_se], 'obj_pos': [real_os, real_oe], 'source': ex['parallel'] } returned_data.append(ex) # print(parallel_sent) # print(position) # print(real_ss, real_se, real_os, real_oe) # print() print('Out of %d examples, %d are dropped!' % (len(data), confusing)) return returned_data def get_conllu_text(text, model): sentences = model.tokenize(text, 'ranges;presegmented') total_words = 0 for s in sentences: total_words += len(s.words) model.tag(s) model.parse(s) conllu = model.write(sentences, "conllu") return conllu def convert_char_to_word_indices(parallel_data, tgtfile, lang): model = Model(model_map[lang]) skipped = 0 for ex in parallel_data: trans_sent = ex['parallel']['sentence'] conllu_text = get_conllu_text(trans_sent, model) conll_ex = load_conllu(conllu_text) assert len(conll_ex) == 1 conll_ex = conll_ex[0] subj_start_char, subj_end_char = ex['parallel']['subj_pos'] obj_start_char, obj_end_char = ex['parallel']['obj_pos'] subj_start_end = find_span(conll_ex['offset'], subj_start_char, subj_end_char) obj_start_end = find_span(conll_ex['offset'], obj_start_char, obj_end_char) if not subj_start_end: print(conll_ex['token']) print(conll_ex['offset']) print(trans_sent[subj_start_char:subj_end_char]) print(subj_start_char, subj_end_char) skipped += 1 continue if not obj_start_end: print(conll_ex['token']) print(conll_ex['offset']) print(trans_sent[obj_start_char:obj_end_char]) print(obj_start_char, obj_end_char) skipped += 1 continue ex['source'] = ex['sentence'] ex['parallel'].pop('subj_pos') ex['parallel'].pop('obj_pos') ex.pop('sentence') ex.pop('subj') ex.pop('obj') ex.pop('token') ex['translation'] = ex['parallel']['source'] ex.pop('parallel') ex['token'] = conll_ex['token'] ex['stanford_pos'] = conll_ex['stanford_pos'] ex['stanford_head'] = conll_ex['stanford_head'] ex['stanford_deprel'] = conll_ex['stanford_deprel'] ex['stanford_ner'] = ["O"] * len(ex['token']) ex['subj_start'] = subj_start_end[0] ex['subj_end'] = subj_start_end[1] ex['obj_start'] = obj_start_end[0] ex['obj_end'] = obj_start_end[1] ex['subj_type'] = ex['subj_type'] ex['obj_type'] = ex['obj_type'] ex['relation'] = ex['relation'] if skipped > 0: print('%d examples are skipped since we cannot resolve their character indices.' % skipped) with open(tgtfile, 'w') as fw: json.dump(parallel_data, fw, sort_keys=True, indent=4) def filter_source_examples(selected_ids, src_file, tgt_file): selected_data = [] with open(src_file) as f: data = json.load(f) data_dict = {ex['id']: ex for ex in data} for idx in selected_ids: selected_data.append(data_dict[idx]) assert len(selected_data) == len(selected_ids), \ '{} != {}'.format(len(selected_data), len(selected_ids)) with open(tgt_file, 'w') as fw: json.dump(selected_data, fw, sort_keys=True, indent=4) if __name__ == '__main__': new_data = preprocess('ace_event/en_test_zh.json') convert_char_to_word_indices(new_data, 'ace_event/Chinese/test_parallel.json', 'zh') selected_ids = [ex['id'] for ex in new_data] filter_source_examples(selected_ids, '../data/ace_event/English/test.json', 'ace_event/Chinese/test_source.json') new_data = preprocess('ace_relation/en_test_zh.json') convert_char_to_word_indices(new_data, 'ace_relation/Chinese/test_parallel.json', 'zh') selected_ids = [ex['id'] for ex in new_data] filter_source_examples(selected_ids, '../data/ace_relation/English/test.json', 'ace_relation/Chinese/test_source.json') new_data = preprocess('ace_event/en_test_ar.json') convert_char_to_word_indices(new_data, 'ace_event/Arabic/test_parallel.json', 'ar') selected_ids = [ex['id'] for ex in new_data] filter_source_examples(selected_ids, '../data/ace_event/English/test.json', 'ace_event/Arabic/test_source.json') new_data = preprocess('ace_relation/en_test_ar.json') convert_char_to_word_indices(new_data, 'ace_relation/Arabic/test_parallel.json', 'ar') selected_ids = [ex['id'] for ex in new_data] filter_source_examples(selected_ids, '../data/ace_relation/English/test.json', 'ace_relation/Arabic/test_source.json')

36.207746

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0.026931

0.020572

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false

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0

0.068085

0.042553

0

null

0

null

0

1

0

77ae2c52823c3ed666b8da7d385a9528b00e5196

4,034

py

Python

bricklayer/util/parallel_fetch.py

loganwang007/bricklayer

531dd4acaf20574a9d2f7f0adf68789888288157

[ "Apache-2.0" ]

null

bricklayer/util/parallel_fetch.py

loganwang007/bricklayer

531dd4acaf20574a9d2f7f0adf68789888288157

[ "Apache-2.0" ]

null

bricklayer/util/parallel_fetch.py

loganwang007/bricklayer

531dd4acaf20574a9d2f7f0adf68789888288157

[ "Apache-2.0" ]

null

""" Module to distribute the S3 download over a spark cluster Useful when the data is highly partitioned and unable to be loaded by standard methods Results end up in a table Usage: ``` from parallel_fetch import DbricksParallelFetch # define the aws_bucket and output_dir for the s3_fetch to start aws_bucket = "service-trips" output_dir = "/tmp/" # define the target df awaiting to be parse the path df = Spark.createDataFrame() # export the fetched contents dataframe output_df = DbricksParallelFetch.download_file(df, aws_bucket, output_dir, path_column) ``` """ from concurrent.futures import ThreadPoolExecutor, as_completed from functools import partial from pyspark.sql.functions import pandas_udf, PandasUDFType from pyspark.sql import DataFrame import logging import os import boto3 import csv class DbricksParallelFetch: @staticmethod def download_file(df: DataFrame, aws_bucket: str, output_dir: str, path_column: str, max_workers: int = 32): """encapsulate the pandas udf function as a static method Args: df (DataFrame): target dataframe aws_bucket (str): aws bucket stored all the small files output_dir (str): temporary output dir path_column (str): path column in the target dataframe max_workers (int): number of processors Returns: [DataFrame]: [output dataframe with downloaded content] """ @pandas_udf('string', PandasUDFType.SCALAR) def s3_fetch(paths): def download_one_file(bucket: str, output: str, client: boto3.client, s3_file: str): """ Download a single file from S3 Args: bucket (str): S3 bucket where images are hosted output (str): Dir to store the images client (boto3.client): S3 client s3_file (str): S3 object name """ client.download_file( Bucket=bucket, Key=s3_file, Filename=os.path.join(output, s3_file.replace('/', '_')) ) files_to_download = paths # Creating only one session and one client session = boto3.Session() client = session.client("s3") # The client is shared between threads func = partial(download_one_file, aws_bucket, output_dir, client) # List for storing possible failed downloads to retry later failed_downloads = [] with ThreadPoolExecutor(max_workers) as executor: # Using a dict for preserving the downloaded file for each future # to store it as a failure if we need that futures = { executor.submit(func, file_to_download): file_to_download for file_to_download in files_to_download } for future in as_completed(futures): if future.exception(): failed_downloads.append(futures[future]) if len(failed_downloads) > 0: with open( os.path.join(output_dir, "failed_downloads.csv"), "w", newline="" ) as csvfile: writer = csv.writer(csvfile, quoting=csv.QUOTE_ALL) writer.writerow(failed_downloads) def read_file_and_return_contents(path): try: with open(output_dir + path.replace('/', '_'), 'r') as file: logging.info(f"Read {file} and return its value") return file.read() except FileNotFoundError: logging.warning("Messages is failed to download from s3") return None return paths.apply(read_file_and_return_contents) return df.withColumn('downloaded_content', s3_fetch(path_column))

42.020833

112

0.595439

458

4,034

5.09607

0.368996

0.034704

0.01671

0.021851

0.021422

0

0.007845

0.336391

4,034

95

113

42.463158

0.864027

0.341101

0

0.050982

0

1

0.085106

false

0

0.170213

0

0.361702

0

null

0

null

0

1

0

77af594f90cdfff28c32483019a29f1ca17a171f

621

py

Python

algorithms/mergesort.py

MatheusRV/Analysis-of-Algorithms-Course

4c1f4ccb8349b894653128be7e38d3045b0f5c13

[ "MIT" ]

null

algorithms/mergesort.py

MatheusRV/Analysis-of-Algorithms-Course

4c1f4ccb8349b894653128be7e38d3045b0f5c13

[ "MIT" ]

null

algorithms/mergesort.py

MatheusRV/Analysis-of-Algorithms-Course

4c1f4ccb8349b894653128be7e38d3045b0f5c13

[ "MIT" ]

null

def merge(left, right): """Merge sort merging function.""" merged_array=[] while left or right: if not left: merged_array.append(right.pop()) elif (not right) or left[-1] > right[-1]: merged_array.append(left.pop()) else: merged_array.append(right.pop()) merged_array.reverse() return merged_array def merge_sort(array, size): """Merge sort algorithm implementation.""" if size < 2: # base case return array else: # divide array in half and merge sort recursively half = size // 2 left = merge_sort(array[:half], half) right = merge_sort(array[half:], half) return merge(left, right)

25.875

51

0.690821

91

621

4.615385

0.340659

0.128571

0.121429

0.104762

0.22381

0

0.007797

0.173913

621

23

52

27

0.810916

0.199678

0

0.210526

0

1

0.105263

false

0

0.263158

0

null

0

null

0

1

0

77af69141958979d91a8946a1f5ae3a3eb8f9bf0

2,874

py

Python

SyracuseNews.py

islubee/Discord-Bots

c504adf6af09e68809038e7c4f0720cb8022f982

[ "MIT" ]

null

SyracuseNews.py

islubee/Discord-Bots

c504adf6af09e68809038e7c4f0720cb8022f982

[ "MIT" ]

null

SyracuseNews.py

islubee/Discord-Bots

c504adf6af09e68809038e7c4f0720cb8022f982

[ "MIT" ]

null

# -*- coding: utf-8 -*- from bs4 import BeautifulSoup import urllib.request as urllib2 import re import pickle import logging import ssl import urllib.parse import base64 from datetime import datetime,timedelta from time import sleep import time import os import discord from dotenv import load_dotenv import requests #import MySQLdb from discord.ext.tasks import loop #Initialize discord client client = discord.Client() #default directory for .env file is the current directory #if you set .env in different directory, put the directory address load_dotenv("directory_of_.env) load_dotenv() #take environment variables from .env. TOKEN = os.getenv('DISCORD_TOKEN') #To strip HTML tags def _remove_html_tags(html): p = re.compile(r'<[^<]*?/?>') return p.sub('', html) if hasattr(ssl, '_create_unverified_context'): ssl._create_default_https_context = ssl._create_unverified_context #Create request and open URL to read _opener = urllib2.build_opener() _opener.addheaders = [('User-agent', 'Mozilla/5.0')] _events_calendar = {} _events_list_file = 'events.data' _url = 'https://www.syracuse.com/' logging.basicConfig( filename='log_histopy.txt', level=logging.DEBUG, format='%(asctime)s - %(levelname)s - %(message)s' ) html = _opener.open(_url).read() #Find articles and obtain neccessary information such as title, link, publish date.. articles = [] uls = BeautifulSoup(html, "html.parser").html.body.findAll('article') for x in uls: time1 = int(x.attrs['data-publishedon']) dt_object = (datetime.fromtimestamp(time1) - timedelta(hours=5)).strftime('%Y-%m-%d %H:%M:%S') atetime_object = datetime.strptime(dt_object, '%Y-%m-%d %H:%M:%S') if ((atetime_object.hour == (datetime.today()- timedelta(hours=5)).hour) and (atetime_object.day == (datetime.today()- timedelta(hours=5)).day)) : articles.append({'header':x.attrs['data-social-hed'],'link':x.attrs['data-source'],'thumb':x.attrs['data-image-thumb'],'publishedOnRaw':int(x.attrs['data-publishedon']), 'id': x.attrs['id']}) #Send articles to discord if (len(articles) >= 1): @loop(count=1) async def send_articles(): channel = client.get_channel(#############) for article in articles: publishedOnRaw = article['publishedOnRaw'] publishedOn = (datetime.fromtimestamp(publishedOnRaw) - timedelta(hours=5)) embed=discord.Embed(title=article['header'], url=article['link'], description=str(publishedOn)) embed.set_thumbnail(url=article['thumb']) await channel.send(embed=embed) @send_articles.before_loop async def before_send_articles(): await client.wait_until_ready() # Wait until bot is ready. @send_articles.after_loop async def after_send_articles(): await client.logout() # Make the bot log out. send_articles.start() client.run(TOKEN)

33.418605

199

0.707376

387

2,874

5.124031

0.428941

0.04236

0.025214

0.026223

0.058497

0.006051

0

0.006547

0.149617

2,874

85

200

33.811765

0.804828

0

0.146505

0.010883

0

null

0

0.266667

null

0

null

0

null

0

1

0

1

77b07935b55d5c70675838e025530126172cd7e9

114

py

Python

aula01/aula01.py

fabiolealsc/estudandoPython

be0e9211ba3d596a15a9427b612c537a102b858e

[ "MIT" ]

3

2021-09-05T16:50:06.000Z

2021-11-08T08:56:51.000Z

aula01/aula01.py

fabiolealsc/estudandoPython

be0e9211ba3d596a15a9427b612c537a102b858e

[ "MIT" ]

null

aula01/aula01.py

fabiolealsc/estudandoPython

be0e9211ba3d596a15a9427b612c537a102b858e

[ "MIT" ]

null

print("Hello, world") def func(): pass while True: txt = input('Digite um valor: ') print(eval(txt))

14.25

36

0.596491

16

114

4.25

0.875

0

0.236842

114

8

37

14.25

0.781609

0

0.252174

0

1

0.166667

false

0.166667

0

0.166667

0.333333

1

0

null

0

1

0

null

0

1

0

3

77b13a9d54ea4e9754f97111a15aac0fd3b8b54f

1,467

py

Python

accounts/views.py

samaras/bytestore

8e2f8dfc40af9cf2b387ef17820927e439bbbe33

[ "MIT" ]

null

accounts/views.py

samaras/bytestore

8e2f8dfc40af9cf2b387ef17820927e439bbbe33

[ "MIT" ]

null

accounts/views.py

samaras/bytestore

8e2f8dfc40af9cf2b387ef17820927e439bbbe33

[ "MIT" ]

null

from django.shortcuts import render_to_response from .forms import * from django.contrib.auth.decorators import login_required from django.contrib.auth import logout from django.views.decorators.csrf import csrf_protect from django.http import HttpResponseRedirect from django.template import RequestContext @csrf_protect def register(request): if request.method == 'POST': form = RegistrationForm(request.POST) if form.is_valid(): username = form.cleaned_data['username'] password = form.cleaned_data['password1'] email = form.cleaned_data['email'] first_name = form.cleaned_data['first_name'] last_name = form.cleaned_data['last_name'] # Create user record user = User.objects.create_user(username=username, email=email, first_name=first_name, last_name=last_name) user.set_password(password) user.save() # Create Profile record & add user to group is_customer = form.cleaned_data['is_customer'] profile = Profile(is_customer=is_customer, user=user) profile.save() if is_customer: pass else: pass # Auto login user return HttpResponseRedirect('/register/success/') else: form = RegistrationForm() variables = RequestContext(request, {'form': form}) return render_to_response('accounts/register.html', variables,) def logout_page(request): logout(request) return HttpResponseRedirect('/') @login_required def profile(request): return render_to_response('accounts/profile.html')

28.211538

110

0.759373

187

1,467

5.780749

0.315508

0.055504

0.083256

0.038853

0.055504

0

0.000792

0.139741

1,467

52

111

28.211538

0.855784

0.051806

0

0.105263

0

0.087896

0.03098

0

1

0.078947

false

0.105263

0.184211

0.026316

0.368421

0

null

0

null

0

1

0

1

77b28772f0ad4a9c4563ad6fa4f14122fc956e8e

618

py

Python

py_tasc.py

hcpss-banderson/py-tasc

7a7b4b3743a1375707647574a3a40c374b18c73a

[ "MIT" ]

1

2017-07-19T12:37:31.000Z

py_tasc.py

HCPSS/py-tasc

7a7b4b3743a1375707647574a3a40c374b18c73a

[ "MIT" ]

1

2016-06-09T18:40:05.000Z

py_tasc.py

hcpss-banderson/py-tasc

7a7b4b3743a1375707647574a3a40c374b18c73a

[ "MIT" ]

1

2021-05-25T12:24:33.000Z

#!/usr/bin/env python import os from assembler import Assembler from optionresolver import OptionResolver from patchers import PatchManager, PatchPatcher # Get the user supplied options options = OptionResolver() # Assemble the source code assembler = Assembler(options.manifest()["projects"], options.destination(), options.extra_parameters()) assembler.assemble() # Apply any patches patchmanager = PatchManager(options.manifest()["patches"], options.destination()) patch_base = os.path.dirname(options.manifest_location()) patchmanager.add_patcher("patch_file", PatchPatcher(patch_base)) patchmanager.patch()

32.526316

104

0.800971

70

618

6.985714

0.514286

0.092025

0

0.092233

618

18

105

34.333333

0.871658

0.150485

0

0.047985

0

1

0

false

0

0.363636

0

0.363636

0

null

0

null

0

1

0

1

77b37d9171a1365ad576494257206d89ba25adf1

111

py

Python

session_05/dictionaries.py

dravate/spark_python_course

519389fdb21d78cd6d19e1ad2f7c782bc1449a83

[ "MIT" ]

null

session_05/dictionaries.py

dravate/spark_python_course

519389fdb21d78cd6d19e1ad2f7c782bc1449a83

[ "MIT" ]

null

session_05/dictionaries.py

dravate/spark_python_course

519389fdb21d78cd6d19e1ad2f7c782bc1449a83

[ "MIT" ]

1

2021-07-27T14:16:39.000Z

d1 = {} d2 = {'one': 1, 'two': 2 } d3 = dict(one=1, two=2) d4 = dict((1, 2), (3, 4)) d5 = dict({1:2, 3:4})

11.1

26

0.414414

24

111

1.916667

0.5

0.173913

0.304348

0.347826

0

0.204819

0.252252

111

9

27

12.333333

0.349398

0

0.054054

0

1

0

false

0

1

0

1

null

0

1

0

1

0

1

0

1

0

null

0

7

77b62d71a2e2a81d7bb14aa77dd472363e132b1c

593

py

Python

deploy/env_var.py

john850512/TranslatedPudding

64e5f2b5fe389c598daa15ff78dbc5ede3e0799e

[ "MIT" ]

3

2019-05-20T06:36:14.000Z

2020-05-15T03:58:16.000Z

deploy/env_var.py

john850512/TranslatedPudding

64e5f2b5fe389c598daa15ff78dbc5ede3e0799e

[ "MIT" ]

null

deploy/env_var.py

john850512/TranslatedPudding

64e5f2b5fe389c598daa15ff78dbc5ede3e0799e

[ "MIT" ]

null

CHANNEL_ACCESS_TOKEN = r'YOUR CHANNEL ACCESS TOKEN' CHANNEL_SECRET = r'YOUR CHANNEL SECRET' STR_CURRENT_STATUS_RESPOND = ("目前狀態：【{current_status}】\n" + "1.輸入『吃下翻譯布丁』開啟功能\n" + "2.輸入『布丁消化完了』關閉功能" ) STR_CURRENT_STATUS = r'翻譯布丁' STR_ACTIVATE_BOT = r'吃下翻譯布丁' STR_DEACTIVATE_BOT = r'布丁消化完了' STR_ACTIVATE_BOT_RESPOND = r'吃下翻譯布丁之後，發現全身似乎充滿神奇的力量！' STR_DUPLICATE_ACTIVATE_BOT_RESPOND = r'已經吃過一次了，不可以太貪心！' STR_DEACTIVATE_BOT_RESPOND = r'翻譯布丁被消化的差不多了，神奇的力量漸漸退去' STR_DUPLICATE_DEACTIVATE_BOT_RESPOND = r'沒有布丁可以消化，ＱＱ'

45.615385

59

0.686341

80

593

4.8

0.425

0.104167

0.114583

0.098958

0

0.00431

0.217538

593

13

60

45.615385

0.814655

0

0.319865

0.117845

0

1

0

false

0

null

0

null

0

1

0

77b773bb110aacc218f4ca773acae2c751ddf7a7

691

py

Python

src/duet/sv_calling.py

yekaizhou/duet

ab49323992d3a5f6c21a10bd7114525a31fb0b8b

[ "BSD-3-Clause" ]

7

2021-08-12T08:26:18.000Z

2022-02-23T18:13:53.000Z

src/duet/sv_calling.py

yekaizhou/duet

ab49323992d3a5f6c21a10bd7114525a31fb0b8b

[ "BSD-3-Clause" ]

null

src/duet/sv_calling.py

yekaizhou/duet

ab49323992d3a5f6c21a10bd7114525a31fb0b8b

[ "BSD-3-Clause" ]

null

# coding=utf-8 import logging import os import time def sv_calling(home, ref_path, aln_path, cls_thres, svlen_thres): lines = '*************************' logging.info(lines + ' SV CALLING STARTED ' + lines) starttime = time.time() sv_calling_home = home + '/sv_calling/' os.system('mkdir ' + sv_calling_home) os.system('svim alignment ' + sv_calling_home + ' ' + aln_path + ' ' + ref_path + ' --min_sv_size ' + \ str(svlen_thres) + ' --read_names --minimum_depth 0 --minimum_score 0 --cluster_max_distance ' + \ str(cls_thres)) logging.info(lines + ' SV CALLING COMPLETED IN ' + str(round(time.time() - starttime, 3)) + 's ' + lines)

43.1875

112

0.615051

90

691

4.466667

0.466667

0.156716

0.129353

0.089552

0.124378

0

0.007353

0.212735

691

16

113

43.1875

0.731618

0.017366

0

0.287611

0.069322

0

1

0.076923

false

0

0.230769

0

0.307692

0

null

0

null

0

1

0

77b834ef3b47095a3ef4e2276e9ea11ba4bc2b31

622

py

Python

python/08/a4988.py

matsujirushi/raspi_parts_kouryaku

35cd6f34d21c5e3160636671175fa8d5aff2d4dc

[ "Apache-2.0" ]

6

2022-03-05T02:36:57.000Z

2022-03-12T12:31:27.000Z

python/08/a4988.py

matsujirushi/raspi_parts_kouryaku

35cd6f34d21c5e3160636671175fa8d5aff2d4dc

[ "Apache-2.0" ]

null

python/08/a4988.py

matsujirushi/raspi_parts_kouryaku

35cd6f34d21c5e3160636671175fa8d5aff2d4dc

[ "Apache-2.0" ]

null

import pigpio import time ROTATION = 2 STEP_PER_ROTATE = 200 MICROSTEP = 16 ENABLE = 10 MS1 = 9 MS2 = 11 MS3 = 5 RESET = 6 SLEEP = 13 STEP = 19 DIR = 26 WAIT = 0.005 pi = pigpio.pi() for pin in [ENABLE, MS1, MS2, MS3, RESET, SLEEP, STEP, DIR]: pi.set_mode(pin, pigpio.OUTPUT) pi.write(RESET, 0) pi.write(SLEEP, 1) pi.write(MS1, 1) pi.write(MS2, 1) pi.write(MS3, 1) pi.write(DIR, 0) pi.write(STEP, 0) pi.write(ENABLE, 0) time.sleep(0.001) pi.write(RESET, 1) for i in range(STEP_PER_ROTATE * MICROSTEP * ROTATION): pi.write(STEP, 1) time.sleep(WAIT / 2) pi.write(STEP, 0) time.sleep(WAIT / 2)

14.136364

60

0.651125

116

622

3.448276

0.353448

0.1925

0.08

0.06

0

0.098394

0.199357

622

43

61

14.465116

0.704819

0

0.125

0

1

0

false

0

0.0625

0

0.0625

0

null

0

null

0

1

0

77b89c8c2551fa8fcc0927345358401aa9bd99ab

191

py

Python

Merlin_Motion_Control.py

TomQD-94/merlin-motion-control

506ef612812be04074a9c01793c86c951578c67c

[ "MIT" ]

1

2022-02-21T11:12:49.000Z

Merlin_Motion_Control.py

TomQD-94/merlin-motion-control

506ef612812be04074a9c01793c86c951578c67c

[ "MIT" ]

null

Merlin_Motion_Control.py

TomQD-94/merlin-motion-control

506ef612812be04074a9c01793c86c951578c67c

[ "MIT" ]

1

2021-04-27T08:35:41.000Z

#!/Users/richard/anaconda3/bin/python3 """Launch app using Anaconda 3.""" from views.interface import MerlinMotionControlApp if __name__ == "__main__": MerlinMotionControlApp().run()

19.1

50

0.748691

20

191

6.75

0.95

0

0.017857

0.120419

191

9

51

21.222222

0.785714

0.34555

0

0.067227

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

0

1

0

null

0

1

0

1

0

4

77b8deb8a471712792ddcd411f464a17a0cb2bf4

1,917

py

Python

tools/c7n_gcp/c7n_gcp/resources/dataflow.py

vkubyshko/cloud-custodian

e5e3a0f8b5c85adcbec212d780b453047fb6f4d1

[ "Apache-2.0" ]

2,415

2018-12-04T00:37:58.000Z

2022-03-31T12:28:56.000Z

tools/c7n_gcp/c7n_gcp/resources/dataflow.py

vkubyshko/cloud-custodian

e5e3a0f8b5c85adcbec212d780b453047fb6f4d1

[ "Apache-2.0" ]

3,272

2018-12-03T23:58:17.000Z

2022-03-31T21:15:32.000Z

tools/c7n_gcp/c7n_gcp/resources/dataflow.py

staxio/cloud-custodian

24ed5d8f09bc37ff76184aae97a1ef577a69a41b

[ "Apache-2.0" ]

773

2018-12-06T09:43:23.000Z

2022-03-30T20:44:43.000Z

# Copyright The Cloud Custodian Authors. # SPDX-License-Identifier: Apache-2.0 import jmespath from googleapiclient.errors import HttpError from c7n_gcp.provider import resources from c7n_gcp.query import QueryResourceManager, TypeInfo @resources.register('dataflow-job') class DataflowJob(QueryResourceManager): """GCP resource: https://cloud.google.com/dataflow/docs/reference/rest/v1b3/projects.jobs """ class resource_type(TypeInfo): service = 'dataflow' version = 'v1b3' component = 'projects.jobs' enum_spec = ('aggregated', 'jobs[]', None) scope_key = 'projectId' name = id = 'name' get_requires_event = True default_report_fields = [ 'name', 'currentState', 'createTime', 'location'] permissions = ('dataflow.jobs.list',) @staticmethod def get(client, event): return client.execute_command( 'get', { 'projectId': jmespath.search('resource.labels.project_id', event), 'jobId': jmespath.search('protoPayload.request.job_id', event) } ) def resources(self, query=None): query_filter = 'ACTIVE' if self.data.get('query'): query_filter = self.data['query'][0].get('filter', 'ACTIVE') return super(DataflowJob, self).resources(query={'filter': query_filter}) def augment(self, resources): client = self.get_client() results = [] for r in resources: ref = { 'jobId': r['id'], 'projectId': r['projectId'], 'view': 'JOB_VIEW_ALL' } try: results.append( client.execute_query( 'get', verb_arguments=ref)) except HttpError: results.append(r) return results

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93

0.571205

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1,917

5.77957

0.510753

0.04093

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0

0.006818

0.311424

1,917

58

94

33.051724

0.807576

0.087115

0

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0.030407

0

1

0.065217

false

0

0.086957

0.021739

0.26087

0

null

0

null

0

1

0

77b987eaf14f75d36f539722f833433781e4d25e

12,777

py

Python

evolution/robot.py

gpatsiaouras/Robot-Simulator

4676bb342ca2a1ebcabfb4834f42da61610bacdf

[ "MIT" ]

null

evolution/robot.py

gpatsiaouras/Robot-Simulator

4676bb342ca2a1ebcabfb4834f42da61610bacdf

[ "MIT" ]

1

2022-03-12T00:58:01.000Z

evolution/robot.py

gpatsiaouras/Robot-Simulator

4676bb342ca2a1ebcabfb4834f42da61610bacdf

[ "MIT" ]

null

import numpy as np from math import hypot as hyp class Robot: def __init__(self, diameter, initial_theta, initial_position): # Robot specifications self.diameter = diameter self.radius = int(diameter / 2) self.position = initial_position # Rotation is in rads self.theta = initial_theta # Velocity of wheel in pixes/time self.MAX_SPEED = 10 self.MIN_SPEED = -10 self.left_wheel_velocity = 0 self.right_wheel_velocity = 0 # Sensors self.sensors_values = [] self.sensors_parameters = np.zeros((12, 2)) self.init_sensors() # obstacles for sensor values self.obstacles_coords = [] self.obstacles_parameters = np.zeros((4, 2)) # Collision Data (for evolution algorithm) self.collisions = 0 def reset(self, theta, position): self.theta = theta self.position = position self.update_sensor_values() self.collisions = 0 self.left_wheel_velocity = 0 self.right_wheel_velocity = 0 def update_sensor_values(self): count = 0 for angle in range(0, 360, 30): # sensor origin coords self.sensors_coords[count, 0] = self.position[0] + self.radius * np.cos(self.theta + np.radians(angle)) self.sensors_coords[count, 1] = self.position[1] + self.radius * np.sin(self.theta + np.radians(angle)) # sensor tips coords self.sensors_coords[count, 2] = self.position[0] + self.sens_radius * np.cos(self.theta + np.radians(angle)) self.sensors_coords[count, 3] = self.position[1] + self.sens_radius * np.sin(self.theta + np.radians(angle)) self.sensors_values[count] = hyp(self.sensors_coords[count, 2] - self.sensors_coords[count, 0], self.sensors_coords[count, 3] - self.sensors_coords[count, 1]) # sensors functions parameters # slope a self.sensors_parameters[count, 0] = (self.sensors_coords[count, 3] - self.sensors_coords[count, 1]) / \ (self.sensors_coords[count, 2] - self.sensors_coords[count, 0]) # intercept b self.sensors_parameters[count, 1] = self.sensors_coords[count, 1] - ( self.sensors_parameters[count, 0] * self.sensors_coords[count, 0]) count = count + 1 def move(self): # Store old position before applying kinematics old_position = [self.position[0], self.position[1]] if self.left_wheel_velocity != self.right_wheel_velocity: # if self.left_wheel_velocity != self.right_wheel_velocity: # Calculate ω - angular velocity and change rotation of the robot angular_velocity = (self.left_wheel_velocity - self.right_wheel_velocity) / self.diameter # Keep theta from exploding self.theta %= 2 * np.pi R = (self.diameter / 2) * (self.left_wheel_velocity + self.right_wheel_velocity) / ( self.left_wheel_velocity - self.right_wheel_velocity) ICCx = self.position[0] - R * np.sin(self.theta) ICCy = self.position[1] + R * np.cos(self.theta) matrix_a = np.matrix([[np.cos(angular_velocity), -np.sin(angular_velocity), 0], [np.sin(angular_velocity), np.cos(angular_velocity), 0], [0, 0, 1]]) vector_a = np.array([self.position[0] - ICCx, self.position[1] - ICCy, self.theta]) vector_b = np.array([ICCx, ICCy, angular_velocity]) new_pos_rot = matrix_a.dot(vector_a) + vector_b self.position = [new_pos_rot.item((0, 0)), new_pos_rot.item((0, 1))] self.theta = new_pos_rot.item((0, 2)) elif self.right_wheel_velocity != 0: self.position[0] = self.position[0] + (self.right_wheel_velocity * np.cos(self.theta)) self.position[1] = self.position[1] + (self.right_wheel_velocity * np.sin(self.theta)) # Check if the new move caused a collision if self.check_collision(): # Undo the move self.position = old_position # Move according to collision handling algorithm self.move_with_wall() # Increment collisions counter self.collisions += 1 # update sensors self.update_sensor_values() def move_with_wall(self): cap_hor = 1 cap_ver = 1 velocity_hor = 0 velocity_ver = 0 for obstacle_id in range(len(self.obstacles_parameters)): # print("Obstacle {0}: {1}".format(obstacle_id, self.obstacles_parameters[obstacle_id][0])) # Vertical Obstacle if np.isinf(self.obstacles_parameters[obstacle_id][0]): distance = np.abs(self.position[0] - self.obstacles_coords[obstacle_id][0]) is_inside_the_limits_of_the_line = [ self.obstacles_coords[obstacle_id][3] < self.position[1] < self.obstacles_coords[obstacle_id][1]] # Horizontal Obstacle elif self.obstacles_parameters[obstacle_id][0] == 0: distance = np.abs(self.position[1] - self.obstacles_coords[obstacle_id][1]) is_inside_the_limits_of_the_line = [ self.obstacles_coords[obstacle_id][2] > self.position[0] > self.obstacles_coords[obstacle_id][0]] else: distance = np.abs(-self.obstacles_parameters[obstacle_id][0] * self.position[0] + self.position[1] - self.obstacles_parameters[obstacle_id][1]) / \ np.sqrt((-self.obstacles_parameters[obstacle_id][0]) ** 2 + 1) is_inside_the_limits_of_the_line = False if is_inside_the_limits_of_the_line and distance <= self.radius + 10: velocity_hor = np.cos(self.theta) * (self.right_wheel_velocity + self.left_wheel_velocity) / 2 velocity_ver = np.sin(self.theta) * (self.right_wheel_velocity + self.left_wheel_velocity) / 2 if self.obstacles_parameters[obstacle_id][0] == 0: # self.velocity_ver = 0 cap_ver = 0 if np.isinf(self.obstacles_parameters[obstacle_id][0]): # self.velocity_hor = 0 cap_hor = 0 velocity_hor = velocity_hor * cap_hor velocity_ver = velocity_ver * cap_ver self.position[0] = self.position[0] + velocity_hor self.position[1] = self.position[1] + velocity_ver def increment_left_wheel(self): if self.left_wheel_velocity + 1 <= self.MAX_SPEED: self.left_wheel_velocity += 1 def decrement_left_wheel(self): if self.left_wheel_velocity - 1 >= self.MIN_SPEED: self.left_wheel_velocity -= 1 def increment_right_wheel(self): if self.right_wheel_velocity + 1 <= self.MAX_SPEED: self.right_wheel_velocity += 1 def decrement_right_wheel(self): if self.right_wheel_velocity - 1 >= self.MIN_SPEED: self.right_wheel_velocity -= 1 def increment_both_wheels(self): self.increment_left_wheel() self.increment_right_wheel() def decrement_both_wheels(self): self.decrement_left_wheel() self.decrement_right_wheel() def stop_motors(self): self.right_wheel_velocity = 0 self.left_wheel_velocity = 0 def init_sensors(self): # 12 sensors perimetrically, 30o degrees between them # sensor 0 is the one in front of the robot. # Values go from 0 to 200, 200 being out of reach self.sensors_values = [0 for i in range(12)] self.sensors_coords = np.zeros((12, 4)) # self.sens_radius = 3 * self.radius self.sens_radius = 100 + self.radius self.update_sensor_values() def set_obstacles(self, obstacles_coords, obstacles_params): self.obstacles_coords = obstacles_coords self.obstacles_parameters = obstacles_params def check_sensors(self): for sensor_id in range(len(self.sensors_coords)): for obstacle_id in range(len(self.obstacles_coords)): intersection_point = self.getIntersectingPoint(self.sensors_coords[sensor_id], self.obstacles_coords[obstacle_id]) if intersection_point: self.sensors_values[sensor_id] = np.sqrt( (intersection_point[0] - self.sensors_coords[sensor_id, 0]) ** 2 + ( intersection_point[1] - self.sensors_coords[sensor_id, 1]) ** 2) if self.sensors_values[sensor_id] < 100: self.sensors_coords[sensor_id, 2] = intersection_point[0] self.sensors_coords[sensor_id, 3] = intersection_point[1] def check_collision(self): for obstacle_id in range(len(self.obstacles_parameters)): if np.isinf(self.obstacles_parameters[obstacle_id][0]): distance = np.abs(self.position[0] - self.obstacles_coords[obstacle_id][0]) if self.position[1] < min(self.obstacles_coords[obstacle_id][1], self.obstacles_coords[obstacle_id][3]): is_not_in_range = False elif self.position[1] > max(self.obstacles_coords[obstacle_id][1], self.obstacles_coords[obstacle_id][3]): is_not_in_range = False else: is_not_in_range = True elif self.obstacles_parameters[obstacle_id][0] == 0: distance = np.abs(self.position[1] - self.obstacles_coords[obstacle_id][1]) if self.position[0] < min(self.obstacles_coords[obstacle_id][0], self.obstacles_coords[obstacle_id][2]): is_not_in_range = False elif self.position[0] > max(self.obstacles_coords[obstacle_id][0], self.obstacles_coords[obstacle_id][2]): is_not_in_range = False else: is_not_in_range = True else: distance = np.abs(-self.obstacles_parameters[obstacle_id][0] * self.position[0] + self.position[1] - self.obstacles_parameters[obstacle_id][1]) / \ np.sqrt((-self.obstacles_parameters[obstacle_id][0]) ** 2 + 1) is_not_in_range = True if is_not_in_range and distance <= self.radius: return True return False def getIntersectingPoint(self, line1, line2): """ If the given lines are intersecting, return the position of this intersection, otherwise false """ line1_p1 = [line1[0], line1[1]] line1_p2 = [line1[2], line1[3]] line2_p1 = [line2[0], line2[1]] line2_p2 = [line2[2], line2[3]] # Check if a line intersection is possible within range if ((line1_p1[0] > line2_p1[0] and line1_p1[0] > line2_p2[0] and line1_p2[0] > line2_p1[0] and line1_p2[0] > line2_p2[0]) or (line1_p1[0] < line2_p1[0] and line1_p1[0] < line2_p2[0] and line1_p2[0] < line2_p1[0] and line1_p2[0] < line2_p2[0]) or (line1_p1[1] > line2_p1[1] and line1_p1[1] > line2_p2[1] and line1_p2[1] > line2_p1[1] and line1_p2[1] > line2_p2[1]) or (line1_p1[1] < line2_p1[1] and line1_p1[1] < line2_p2[1] and line1_p2[1] < line2_p1[1] and line1_p2[1] < line2_p2[1])): return False # Get axis differences diffX = (line1_p1[0] - line1_p2[0], line2_p1[0] - line2_p2[0]) diffY = (line1_p1[1] - line1_p2[1], line2_p1[1] - line2_p2[1]) # Get intersection d = np.linalg.det([diffX, diffY]) if d == 0: return False det = (np.linalg.det([line1_p1, line1_p2]), np.linalg.det([line2_p1, line2_p2])) x = np.linalg.det([det, diffX]) / d y = np.linalg.det([det, diffY]) / d # Check if it is within range margin = 0.0001 if (x < min(line1_p1[0], line1_p2[0]) - margin or x > max(line1_p1[0], line1_p2[0]) + margin or y < min(line1_p1[1], line1_p2[1]) - margin or y > max(line1_p1[1], line1_p2[1]) + margin or x < min(line2_p1[0], line2_p2[0]) - margin or x > max(line2_p1[0], line2_p2[0]) + margin or y < min(line2_p1[1], line2_p2[1]) - margin or y > max(line2_p1[1], line2_p2[1]) + margin): return False return x, y

46.126354

122

0.591688

1,652

12,777

4.340194

0.110169

0.068898

0.055649

0.052162

0.590516

0.518271

0.461506

0.422873

0.36848

0.295676

0

0.04381

0.301479

12,777

276

123

46.293478

0.759552

0.089614

0

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0

1

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false

0

0.010363

0

0.134715

0

null

0

null

0

1

0

77b9b6901e4cb4106030a4e8cd51ce978af0e6bd

2,613

py

Python

backblaze/tests/blocking/test_file.py

WardPearce/aiob2

3dcff9c3aa7612ce7b43375fca379c1358121a4a

[ "MIT" ]

null

backblaze/tests/blocking/test_file.py

WardPearce/aiob2

3dcff9c3aa7612ce7b43375fca379c1358121a4a

[ "MIT" ]

null

backblaze/tests/blocking/test_file.py

WardPearce/aiob2

3dcff9c3aa7612ce7b43375fca379c1358121a4a

[ "MIT" ]

1

2019-07-16T03:38:49.000Z

import unittest from uuid import uuid4 from os import path from .client import CLIENT from ...settings import ( BucketSettings, UploadSettings, PartSettings, CopyFileSettings ) from ...models.file import FileModel, PartModel from ...bucket.blocking import BlockingFile class TestBlockingFile(unittest.TestCase): def test_file(self): _, bucket = CLIENT.create_bucket(BucketSettings( "file test {}".format(uuid4()) )) local_path = path.join( path.dirname(path.realpath(__file__)), "../test_file.png" ) with open(local_path, "rb") as f: data = f.read() file_data, file = bucket.upload( UploadSettings( name="ウィーブ.png" ), data=data ) self.assertIsInstance(file_data, FileModel) self.assertIsInstance(file, BlockingFile) self.assertTrue(type(file.download()) == bytes) copy_data, copy_file = file.copy(CopyFileSettings( "copied file.png" )) self.assertIsInstance(copy_data, FileModel) self.assertIsInstance(copy_file, BlockingFile) copy_file.delete() file.delete( file_data.file_name ) local_path = path.join( path.dirname(path.realpath(__file__)), "../parts_test" ) details, file = bucket.create_part(PartSettings( "test part.png" )) parts = file.parts() data = b"" with open(local_path, "rb") as f: data = f.read() chunk_size = 5000000 for chunk in range(0, len(data), chunk_size): parts.data(data[chunk:chunk + chunk_size]) for part, _ in file.parts().list(): self.assertIsInstance(part, PartModel) parts.finish() file.delete(details.file_name) details, file = bucket.create_part(PartSettings( "test part upload.png" )) parts = file.parts() parts.file(local_path) parts.finish() file.delete(details.file_name) data, file = bucket.upload_file( UploadSettings("test part.bin"), local_path ) file.delete(data.file_name) local_path = path.join( path.dirname(path.realpath(__file__)), "../test_file.png" ) data, file = bucket.upload_file( UploadSettings("test file upload.png"), local_path ) file.delete(data.file_name) bucket.delete()

22.921053

58

0.565251

268

2,613

5.335821

0.246269

0.05035

0.027273

0.035664

0.377622

0.233566

0.167832

0

0.005708

0.329506

2,613

113

59

23.123894

0.810502

0

0.37037

0

0.057405

0

0.074074

1

0.012346

false

0

0.08642

0

0.111111

0

null

0

null

0

1

0

77bb0202fbcb60692c326fef16e93e7f15657559

616

py

Python

tests/test_dataset.py

kilsenp/triplet-reid-pytorch

0cd2c2ac638d22745483b3d12ccb5c160f0bf3c3

[ "MIT" ]

41

2018-06-21T09:36:23.000Z

2021-05-07T22:06:25.000Z

tests/test_dataset.py

kilsen512/triplet-reid-pytorch

0cd2c2ac638d22745483b3d12ccb5c160f0bf3c3

[ "MIT" ]

3

2018-06-20T10:35:32.000Z

2020-11-17T20:16:03.000Z

tests/test_dataset.py

kilsen512/triplet-reid-pytorch

0cd2c2ac638d22745483b3d12ccb5c160f0bf3c3

[ "MIT" ]

10

2018-05-18T07:34:56.000Z

2021-01-16T00:02:12.000Z

import sys from os import path sys.path.append( path.dirname( path.dirname( path.abspath(__file__) ) ) ) import unittest from csv_dataset import * class TestMarket(unittest.TestCase): def test_make_dataset(self): csv_file = "~/Projects/cupsizes/data/market1501_train.csv" data_dir = "~/Projects/triplet-reid-pytorch/datasets/Market-1501" limit = 200 data = make_dataset(csv_file, data_dir, limit) self.assertEqual(len(data), limit) if __name__ == "__main__": unittest.main()

30.8

97

0.600649

68

616

5.132353

0.558824

0.063037

0.08596

0

0.025522

0.300325

616

19

98

32.421053

0.784223

0

0.170455

0.157468

0

0.071429

1

0.071429

false

0

0.285714

0

0.428571

0

null

0

null

0

1

0

77bb5640e0e164a57f7b3d1cb8fe5afab8675900

3,695

py

Python

help/forms.py

pincoin/rakmai

d9daa399aff50712a86b2dec9d94e622237b25b0

[ "MIT" ]

11

2018-04-02T16:36:19.000Z

2019-07-10T05:54:58.000Z

help/forms.py

pincoin/rakmai

d9daa399aff50712a86b2dec9d94e622237b25b0

[ "MIT" ]

22

2019-01-01T20:40:21.000Z

2022-02-10T08:06:39.000Z

help/forms.py

pincoin/rakmai

d9daa399aff50712a86b2dec9d94e622237b25b0

[ "MIT" ]

4

2019-03-12T14:24:37.000Z

2022-01-07T16:20:22.000Z

from crispy_forms.helper import ( FormHelper, Layout ) from crispy_forms.layout import ( HTML, Fieldset, Submit ) from django import forms from django.urls import reverse from django.utils.translation import gettext_lazy as _ from shop import models class FaqMessageAdminForm(forms.ModelForm): class Meta: model = models.FaqMessage fields = ('category', 'title', 'content', 'store', 'position') class NoticeMessageAdminForm(forms.ModelForm): class Meta: model = models.NoticeMessage fields = ('category', 'title', 'content', 'store') class CustomerQuestionForm(forms.ModelForm): def __init__(self, *args, **kwargs): self.store_code = kwargs.pop('store_code', 'default') self.page = kwargs.pop('page', 1) super(CustomerQuestionForm, self).__init__(*args, **kwargs) self.helper = FormHelper() self.helper.include_media = False self.helper.form_class = 'form' self.helper.layout = Layout( Fieldset( '', # Hide the legend of fieldset (HTML tag) 'category', 'title', 'content', ), HTML(''' <button type="submit" class="btn btn-block btn-lg btn-primary my-2"> <i class="fas fa-pencil-alt"></i> {} </button> <hr> <a href="{}?page={}" class="btn btn-block btn-lg btn-outline-secondary my-2"> <i class="fas fa-list"></i> {} </a> '''.format(_('Write'), reverse('help:question-list', args=(self.store_code,)), self.page, _('List'))), ) class Meta: model = models.CustomerQuestion fields = ( 'category', 'title', 'content', # 'owner', 'store' ) class TestimonialsForm(forms.ModelForm): def __init__(self, *args, **kwargs): self.store_code = kwargs.pop('store_code', 'default') self.page = kwargs.pop('page', 1) super(TestimonialsForm, self).__init__(*args, **kwargs) self.fields['title'].help_text = False self.helper = FormHelper() self.helper.include_media = False self.helper.form_class = 'form' self.helper.layout = Layout( Fieldset( '', # Hide the legend of fieldset (HTML tag) 'title', 'content', ), HTML(''' <button type="submit" class="btn btn-block btn-lg btn-primary my-2"> <i class="fas fa-pencil-alt"></i> {} </button> <hr> <a href="{}?page={}" class="btn btn-block btn-lg btn-outline-secondary my-2"> <i class="fas fa-list"></i> {} </a> '''.format(_('Write'), reverse('help:testimonials-list', args=(self.store_code,)), self.page, _('List'))), ) class Meta: model = models.Testimonials fields = ( 'title', 'content', # 'owner', 'store' ) class TestimonialsAnswerForm(forms.ModelForm): def __init__(self, *args, **kwargs): self.store_code = kwargs.pop('store_code', 'default') self.testimonial = kwargs.pop('testimonial', 0) super(TestimonialsAnswerForm, self).__init__(*args, **kwargs) self.helper = FormHelper() self.helper.form_action = reverse('help:testimonials-answer', args=(self.store_code, self.testimonial)) self.helper.add_input(Submit('submit', _('Post Answer'), css_class='btn btn-lg btn-block btn-primary')) self.helper.form_method = 'POST' class Meta: model = models.TestimonialsAnswer fields = ['content']

31.853448

118

0.568065

394

3,695

5.19797

0.238579

0.058594

0.041016

0.048828

0.638672

0.561035

0.527832

0.495605

0

0.002654

0.286062

3,695

115

119

32.130435

0.773692

0.030041

0

0.555556

0

0.044444

0.286952

0.024588

0

1

0.033333

false

0

0.066667

0

0.211111

0

null

0

null

0

1

0

77bc14e7c032c836a4310a414a8a832122f26169

642

py

Python

json2csv.py

bdunnette/derby_name_generator

51690025d7c4e1a0dba8da71fbb85570baaeeeca

[ "MIT" ]

null

json2csv.py

bdunnette/derby_name_generator

51690025d7c4e1a0dba8da71fbb85570baaeeeca

[ "MIT" ]

4

2020-01-28T22:57:49.000Z

2020-11-13T18:22:23.000Z

json2csv.py

bdunnette/derby_name_generator

51690025d7c4e1a0dba8da71fbb85570baaeeeca

[ "MIT" ]

null

import csv import json json_files = ['generated_names', 'registered_names', 'used_names'] for jf in json_files: infile = open('data/{}.json'.format(jf), 'r') outfile = open('data/{}.csv'.format(jf), 'w') print('{} > {}'.format(infile, outfile)) writer = csv.DictWriter(outfile, fieldnames=['name', 'registered']) writer.writeheader() for row in json.loads(infile.read()): row_dict = {'name': row} if jf == 'registered_names': row_dict['registered'] = 1 else: row_dict['registered'] = 0 print(row, row_dict) writer.writerow(row_dict)

32.1

72

0.582555

76

642

4.776316

0.434211

0.096419

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77bdb223eed0186fb8d9de25b3c3b87e0f4d5217

4,013

py

Python

file_manager/migrations/0059_auto_20220208_1641.py

xiaofengxie128/Proteomic-Data-Manager

79756c7021b1d5e4cc4cdb26d741f6ea18846a02

[ "Apache-2.0" ]

null

file_manager/migrations/0059_auto_20220208_1641.py

xiaofengxie128/Proteomic-Data-Manager

79756c7021b1d5e4cc4cdb26d741f6ea18846a02

[ "Apache-2.0" ]

null

file_manager/migrations/0059_auto_20220208_1641.py

xiaofengxie128/Proteomic-Data-Manager

79756c7021b1d5e4cc4cdb26d741f6ea18846a02

[ "Apache-2.0" ]

null

# Generated by Django 3.2.7 on 2022-02-08 23:41 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('file_manager', '0058_auto_20220118_1418'), ] operations = [ migrations.AddField( model_name='rawfile', name='column_sn', field=models.TextField(blank=True, max_length=100, null=True), ), migrations.AddField( model_name='rawfile', name='spe_sn', field=models.TextField(blank=True, max_length=100, null=True), ), migrations.AlterField( model_name='maxquantqueue', name='evidence_file', field=models.FileField(blank=True, null=True, upload_to='hdstorage/maxquant/2022/2/8'), ), migrations.AlterField( model_name='maxquantqueue', name='other_file', field=models.FileField(blank=True, null=True, upload_to='hdstorage/maxquant/2022/2/8'), ), migrations.AlterField( model_name='maxquantqueue', name='peptide_file', field=models.FileField(blank=True, null=True, upload_to='hdstorage/maxquant/2022/2/8'), ), migrations.AlterField( model_name='maxquantqueue', name='protein_file', field=models.FileField(blank=True, null=True, upload_to='hdstorage/maxquant/2022/2/8'), ), migrations.AlterField( model_name='maxquantqueue', name='setting_xml', field=models.FileField(blank=True, null=True, upload_to='maxquant_xml/2022/2/8'), ), migrations.AlterField( model_name='msfraggerqueue', name='ion_file', field=models.FileField(blank=True, null=True, upload_to='hdstorage/msfragger/2022/2/8'), ), migrations.AlterField( model_name='msfraggerqueue', name='peptide_file', field=models.FileField(blank=True, null=True, upload_to='hdstorage/msfragger/2022/2/8'), ), migrations.AlterField( model_name='msfraggerqueue', name='protein_file', field=models.FileField(blank=True, null=True, upload_to='hdstorage/msfragger/2022/2/8'), ), migrations.AlterField( model_name='msfraggerqueue', name='psm_file', field=models.FileField(blank=True, null=True, upload_to='hdstorage/msfragger/2022/2/8'), ), migrations.AlterField( model_name='notefile', name='notefile', field=models.FileField(blank=True, null=True, upload_to='notefiles/2022/ 2/8'), ), migrations.AlterField( model_name='pdqueue', name='consensus_method', field=models.FileField(blank=True, null=True, upload_to='hdstorage/proteindiscoverer/2022/2/8'), ), migrations.AlterField( model_name='pdqueue', name='export_file', field=models.FileField(blank=True, null=True, upload_to='hdstorage/proteindiscoverer/2022/2/8'), ), migrations.AlterField( model_name='pdqueue', name='processing_method', field=models.FileField(blank=True, null=True, upload_to='hdstorage/proteindiscoverer/2022/2/8'), ), migrations.AlterField( model_name='pdqueue', name='result_file', field=models.FileField(blank=True, null=True, upload_to='hdstorage/proteindiscoverer/2022/2/8'), ), migrations.AlterField( model_name='rawfile', name='note_file', field=models.ManyToManyField(blank=True, to='file_manager.NoteFile'), ), migrations.AlterField( model_name='spectrominequeue', name='result_file', field=models.FileField(blank=True, null=True, upload_to='hdstorage/spectromine/2022/2/8'), ), ]

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1

0

null

0

9

77be2f55131b3349b56faffc31d3bd578f487785

9,334

py

Python

tests/tests_user_demo_orders_add.py

Bitsgap/Bitsgap-api-py

4102e578c7958dfabb945eb17fdff4ef6cab8fdd

[ "MIT" ]

2

2021-05-12T01:14:24.000Z

2021-12-08T14:36:00.000Z

tests/tests_user_demo_orders_add.py

Bitsgap/Bitsgap-rest-api-py

4102e578c7958dfabb945eb17fdff4ef6cab8fdd

[ "MIT" ]

null

tests/tests_user_demo_orders_add.py

Bitsgap/Bitsgap-rest-api-py

4102e578c7958dfabb945eb17fdff4ef6cab8fdd

[ "MIT" ]

null

import asyncio import logging from unittest import TestCase from rest_api_py_lib import BitsgapClient from tests.keys import public_key,private_key class TestRestUserDemoOrdersAdd(TestCase): """ Place order on demo market """ def test_user_demo_orders_add_valid_data(self): async def run_test(): market = 'okex' pair = 'ETH_BTC' price = '0.015' amount = '1' side = 'buy' ord_type = 'limit' lib = BitsgapClient(public_key, private_key) result = lib.demo_orders_add(market, pair, amount, price, side, ord_type) logging.debug(result) self.assertIn('status', result) self.assertTrue(result['status'] == 'ok') self.assertIn('time', result) self.assertIn('data', result) data = result['data'] self.assertIsNotNone(data) # check fields self.assertIn('id', data) self.assertIn('price', data) self.assertIn('amount', data) self.assertIn('state', data) self.assertIn('pair', data) self.assertIn('type', data) self.assertIn('side', data) self.assertIn('uts', data) self.assertIn('state', data) if 'state' in data: self.assertIn(data['state'], 'opened') await asyncio.sleep(1) event_loop = asyncio.new_event_loop() asyncio.set_event_loop(event_loop) coro = asyncio.coroutine(run_test) event_loop.run_until_complete(coro()) event_loop.close() """ Invalid market """ def test_user_demo_orders_add_invalid_market(self): async def run_test(): market = 'no_market' pair = 'ETH_BTC' price = '0.015' amount = '0.1' side = 'buy' ord_type = 'limit' lib = BitsgapClient(public_key, private_key) result = lib.demo_orders_add(market, pair, amount, price, side, ord_type) logging.debug(result) self.assertIn('time', result) self.assertIn('status', result) self.assertTrue(result['status'] == 'error') self.assertIn('message', result) await asyncio.sleep(1) event_loop = asyncio.new_event_loop() asyncio.set_event_loop(event_loop) coro = asyncio.coroutine(run_test) event_loop.run_until_complete(coro()) event_loop.close() """ Invalid pair """ def test_user_demo_orders_add_invalid_pair(self): async def run_test(): market = 'okex' pair = 'no_pair' price = '0.015' amount = '0.1' side = 'buy' ord_type = 'limit' lib = BitsgapClient(public_key, private_key) result = lib.demo_orders_add(market, pair, amount, price, side, ord_type) logging.debug(result) self.assertIn('time', result) self.assertIn('status', result) self.assertTrue(result['status'] == 'error') self.assertIn('message', result) await asyncio.sleep(1) event_loop = asyncio.new_event_loop() asyncio.set_event_loop(event_loop) coro = asyncio.coroutine(run_test) event_loop.run_until_complete(coro()) event_loop.close() """ Invalid side """ def test_user_demo_orders_add_invalid_side(self): async def run_test(): market = 'okex' pair = 'ETH_BTC' price = '0.015' amount = '0.1' side = 'invalid' ord_type = 'limit' lib = BitsgapClient(public_key, private_key) result = lib.demo_orders_add(market, pair, amount, price, side, ord_type) logging.debug(result) self.assertIn('time', result) self.assertIn('status', result) self.assertTrue(result['status'] == 'error') self.assertIn('message', result) await asyncio.sleep(1) event_loop = asyncio.new_event_loop() asyncio.set_event_loop(event_loop) coro = asyncio.coroutine(run_test) event_loop.run_until_complete(coro()) event_loop.close() """ Invalid type """ def test_user_demo_orders_add_invalid_type(self): async def run_test(): market = 'okex' pair = 'ETH_BTC' price = '0.015' amount = '0.1' side = 'buy' ord_type = 'invalid' lib = BitsgapClient(public_key, private_key) result = lib.demo_orders_add(market, pair, amount, price, side, ord_type) logging.debug(result) self.assertIn('time', result) self.assertIn('status', result) self.assertTrue(result['status'] == 'error') self.assertIn('message', result) await asyncio.sleep(1) event_loop = asyncio.new_event_loop() asyncio.set_event_loop(event_loop) coro = asyncio.coroutine(run_test) event_loop.run_until_complete(coro()) event_loop.close() """ Invalid price format """ def test_user_demo_orders_add_invalid_price_format(self): async def run_test(): market = 'okex' pair = 'ETH_BTC' price = '0*250' amount = '0.1' side = 'buy' ord_type = 'limit' lib = BitsgapClient(public_key, private_key) result = lib.demo_orders_add(market, pair, amount, price, side, ord_type) logging.debug(result) self.assertIn('time', result) self.assertIn('status', result) self.assertTrue(result['status'] == 'error') self.assertIn('message', result) await asyncio.sleep(1) event_loop = asyncio.new_event_loop() asyncio.set_event_loop(event_loop) coro = asyncio.coroutine(run_test) event_loop.run_until_complete(coro()) event_loop.close() """ Invalid zero price """ def test_user_demo_orders_add_invalid_price_zero(self): async def run_test(): market = 'okex' pair = 'ETH_BTC' price = '0' amount = '0.1' side = 'buy' ord_type = 'limit' lib = BitsgapClient(public_key, private_key) result = lib.demo_orders_add(market, pair, amount, price, side, ord_type) logging.debug(result) self.assertIn('status', result) self.assertTrue(result['status'] == 'ok') self.assertIn('time', result) self.assertIn('data', result) data = result['data'] self.assertIsNotNone(data) # check fields self.assertIn('id', data) self.assertIn('price', data) self.assertIn('amount', data) self.assertIn('state', data) self.assertIn('pair', data) self.assertIn('type', data) self.assertIn('side', data) self.assertIn('uts', data) self.assertIn('state', data) if 'state' in data: self.assertIn(data['state'], 'opened') await asyncio.sleep(1) event_loop = asyncio.new_event_loop() asyncio.set_event_loop(event_loop) coro = asyncio.coroutine(run_test) event_loop.run_until_complete(coro()) event_loop.close() """ Invalid amount format""" def test_user_demo_orders_add_invalid_amount_format(self): async def run_test(): market = 'okex' pair = 'ETH_BTC' price = '0.015' amount = '100*' side = 'buy' ord_type = 'limit' lib = BitsgapClient(public_key, private_key) result = lib.demo_orders_add(market, pair, amount, price, side, ord_type) logging.debug(result) self.assertIn('time', result) self.assertIn('status', result) self.assertTrue(result['status'] == 'error') self.assertIn('message', result) await asyncio.sleep(1) event_loop = asyncio.new_event_loop() asyncio.set_event_loop(event_loop) coro = asyncio.coroutine(run_test) event_loop.run_until_complete(coro()) event_loop.close() """ Invalid amount zero""" def test_user_demo_orders_add_invalid_amount_zero(self): async def run_test(): market = 'okex' pair = 'ETH_BTC' price = '0.015' amount = '0' side = 'buy' ord_type = 'limit' lib = BitsgapClient(public_key, private_key) result = lib.demo_orders_add(market, pair, amount, price, side, ord_type) logging.debug(result) self.assertIn('time', result) self.assertIn('status', result) self.assertTrue(result['status'] == 'error') await asyncio.sleep(1) event_loop = asyncio.new_event_loop() asyncio.set_event_loop(event_loop) coro = asyncio.coroutine(run_test) event_loop.run_until_complete(coro()) event_loop.close()

29.352201

85

0.561174

1,027

9,334

4.87147

0.079844

0.097142

0.046772

0.037977

0.946032

0.941035

0.909055

0.870877

0

0.009399

0.327512

9,334

317

86

29.444795

0.787637

0.005785

0

0.890909

0

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0

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1

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false

0

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0.068182

0

null

0

1

0

1

0

null

0

7

77be68f59af465d19126dafee090ea62f5ef4125

2,176

py

Python

runway/hooks/cleanup_s3.py

troyready/runway

4fd299961a4b73df39e14f4f19a7236f7be17dd8

[ "Apache-2.0" ]

null

runway/hooks/cleanup_s3.py

troyready/runway

4fd299961a4b73df39e14f4f19a7236f7be17dd8

[ "Apache-2.0" ]

null

runway/hooks/cleanup_s3.py

troyready/runway

4fd299961a4b73df39e14f4f19a7236f7be17dd8

[ "Apache-2.0" ]

null

"""CFNgin hook for cleaning up resources prior to CFN stack deletion.""" # TODO move to runway.cfngin.hooks on next major release import logging from botocore.exceptions import ClientError from ..cfngin.lookups.handlers.output import OutputLookup from ..cfngin.lookups.handlers.rxref import RxrefLookup from ..cfngin.lookups.handlers.xref import XrefLookup LOGGER = logging.getLogger(__name__) def purge_bucket(context, provider, **kwargs): """Delete objects in bucket.""" session = context.get_session() if kwargs.get("bucket_name"): bucket_name = kwargs["bucket_name"] else: if kwargs.get("bucket_output_lookup"): value = kwargs["bucket_output_lookup"] handler = OutputLookup.handle elif kwargs.get("bucket_rxref_lookup"): value = kwargs["bucket_rxref_lookup"] handler = RxrefLookup.handle elif kwargs.get("bucket_xref_lookup"): value = kwargs["bucket_xref_lookup"] handler = XrefLookup.handle else: LOGGER.error("bucket_name required but not defined") return False stack_name = context.get_fqn(value.split("::")[0]) try: # Exit early if the bucket's stack is already deleted session.client("cloudformation").describe_stacks(StackName=stack_name) except ClientError as exc: if "does not exist" in exc.response["Error"]["Message"]: LOGGER.info( 'stack "%s" does not exist; unable to resolve bucket name', stack_name, ) return True raise bucket_name = handler(value, provider=provider, context=context) s3_resource = session.resource("s3") try: s3_resource.meta.client.head_bucket(Bucket=bucket_name) except ClientError as exc: if exc.response["Error"]["Code"] == "404": LOGGER.info( 'bucket "%s" does not exist; unable to complete purge', bucket_name ) return True raise bucket = s3_resource.Bucket(bucket_name) bucket.object_versions.delete() return True

35.096774

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0.634191

249

2,176

5.39759

0.393574

0.066964

0.044643

0.055804

0.147321

0.072917

0

0.005041

0.27068

2,176

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84

35.672131

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0.091912

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0

1

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false

0

0.104167

0

0.208333

0

null

0

null

0

1

0

1

77bf2ecef9748586b6a2dac8896799069e53843d

5,800

py

Python

mediapub_extensions/ApiWrappers/Snowflake.py

seattletimes/mediapub_extensions

5b3dd3862f2ef59d494efe57bee679f0787952f4

[ "Apache-2.0" ]

null

mediapub_extensions/ApiWrappers/Snowflake.py

seattletimes/mediapub_extensions

5b3dd3862f2ef59d494efe57bee679f0787952f4

[ "Apache-2.0" ]

1

2019-08-21T21:53:30.000Z

mediapub_extensions/ApiWrappers/Snowflake.py

seattletimes/mediapub_extensions

5b3dd3862f2ef59d494efe57bee679f0787952f4

[ "Apache-2.0" ]

null

import snowflake.connector as snowcon import json import getpass import sys class Snowflake(): """ Handles connections and queries to Snowflake Computing This class contains methods to connect to the Snowflake service and run queries on it. Requires: snowflake-connector-python: pip install snowflake-connector-python Attributes: user (str): The Snowflake username password (str): The Snowflake Password account (str): The Snowflake accountID ctx (snowflake.connector): The connection to Snowflake """ user = None password = None account = None ctx = None def __init__(self, username=None, password=None, account=None, role='STAGE_R', db='ST_WEB', warehouse='ST_ANALYTICSAPI', schema='WEB_STAGE_META', verbose=False): """ Create a Snowflake connection for this instance. Creates a Snowflake-Python connection. If no username and password are passed, it will attempt other connection options (keyfile and command prompt) Args: username (str): The Snowflake Username password (str): The Snowflake Password Yields: snowflake.connector.connect: A Snowflake connection """ self.verbose = verbose # First try passed in username and pass, then look for a keyfile, then ask the user if username is not None and password is not None and account is not None: self.set_creds_by_param(username, password, account) else: self.set_creds() self.set_environment_settings(role, db, warehouse, schema) if self.verbose: print("connecting to Snowflake...") self.ctx = snowcon.connect(user=self.user, password=self.password, account=self.account) ##################################################### # Connection Methods ##################################################### def set_creds(self): """ Get the Username and Password from the user """ self.account = input("Snowflake Account = ") self.user = input("Snowflake UserName = ") self.password = getpass.getpass() def set_creds_by_param(self, username, passwd, account): """ Set the Username and Password from the Args """ self.account = account self.user = username self.password = passwd def set_environment_settings(self, role='STAGE_R', db='ST_WEB', warehouse='ST_ANALYTICSAPI', schema='WEB_STAGE_META'): """ Return settings to reach the Snowflake Enviornment Return SQL to set the settings that are used to reach Snowflake enviornments. Currently, production and staging are the only enviornments in use. Args: env (str): The Snowflake enviornment settings to return Returns: role (str): SQL to set the correct Role. db (str): SQL to set the target database. warehouse (str): SQL to set the warehouse for data processing. schema (str): SQL to set the schema queries are run from. """ self.ROLE = "USE ROLE {};".format(role) self.DB = "USE {};".format(db) self.WAREHOUSE = "USE WAREHOUSE {};".format(warehouse) self.SCHEMA = "USE SCHEMA {};".format(schema) ##################################################### # Query Methods ##################################################### def run_query(self, SQL_CMD="SELECT current_version()", ignore_results=False): """ Run a supplied query on Snowflake This function will run a query that is passed to it on the Snowflake platform. Example: run_query(env=\"production\", SQL_CMD=\"SELECT * FROM table\") Args: env (str): Specifies if this query should run on staging or production. SQL_CMD (str): The SQL command to be run Returns: list: A list of tuples containing the row level results of the query. Raises: SQL compilation error: """ #NOTE: This does not have any checking on what queries are passed in and run. Limits enforced by roles cs = self.ctx.cursor() try: cs.execute(self.ROLE) cs.execute(self.DB) cs.execute(self.SCHEMA) cs.execute(self.WAREHOUSE) cs.execute(SQL_CMD) if ignore_results: return True results = cs.fetchall() return results finally: cs.close() def push_files(self, PATH, stage): """ Push the file to Snowflake Stage """ SQL_PUT = "put file://" + PATH + " @S_" + stage + " auto_compress=true;" return self.run_query(SQL_PUT, ignore_results=True) pass def process_files(self, table, stage, format, on_error="SKIP_FILE", purge=True): """ Process staged files """ SQL_COPY = "copy into " + table + " "\ "from @S_" + stage + " "\ "file_format = (format_name = " + format + ") "\ "ON_ERROR = " + on_error + " "\ "PURGE = " + purge + ";" return self.run_query(SQL_COPY, ignore_results=True) ############################################################ # Queries ############################################################ def get_snowflake_version(self): """Return the Snowflake version number.""" results = self.run_query() return results[0][0] if __name__=='__main__': print("Don't call directly. Install package and import as a class.") sf = Snowflake() sf.set_environment_settings("ETL_PULL", "ST_WEB", "ST_WEB_WH_PROD_ETL", "WEB_PROD") print(sf.get_snowflake_version())

34.52381

165

0.58

666

5,800

4.936937

0.273273

0.036496

0.027372

0.016727

0.131995

0.085766

0.068127

0.03528

0

0.000477

0.276552

5,800

167

166

34.730539

0.783127

0.365345

0

0.151331

0

1

0.126984

false

0.15873

0.079365

0

0.349206

0.047619

0

null

0

null

0

1

0

1

77c1415a212d5d1d022140adadcb11fdbf2724c0

653

py

Python

UVa Online Judge/v129/12916.py

mjenrungrot/algorithm

e0e8174eb133ba20931c2c7f5c67732e4cb2b703

[ "MIT" ]

null

UVa Online Judge/v129/12916.py

mjenrungrot/algorithm

e0e8174eb133ba20931c2c7f5c67732e4cb2b703

[ "MIT" ]

null

UVa Online Judge/v129/12916.py

mjenrungrot/algorithm

e0e8174eb133ba20931c2c7f5c67732e4cb2b703

[ "MIT" ]

null

# ============================================================================= # Author: Teerapat Jenrungrot - https://github.com/mjenrungrot/ # FileName: 12916.py # Description: UVa Online Judge - 12916 # ============================================================================= N = int(input()) for _ in range(N): S = input() lim = len(S) // 2 found = False for k in range(1, lim+1): if len(S) % k != 0: continue prefix = S[:k] if prefix * (len(S) // k) == S: print(k) found = True break if not found: print(len(S))

27.208333

79

0.355283

63

653

3.666667

0.571429

0.069264

0.04329

0

0.030905

0.306279

653

24

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27.208333

0.479029

0.454824

0

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false

0

0.133333

0

null

0

1

0

null

0

1

77c2a84ba94b9959e2b284142d43e8fadfa6f26f

268

py

Python

test.py

adamrehn/docker-script

440b2a119ff304cff3c698a5b9d1e679154ba5a5

[ "MIT" ]

5

2018-08-28T15:09:13.000Z

2020-08-05T13:20:26.000Z

test.py

adamrehn/docker-script

440b2a119ff304cff3c698a5b9d1e679154ba5a5

[ "MIT" ]

null

test.py

adamrehn/docker-script

440b2a119ff304cff3c698a5b9d1e679154ba5a5

[ "MIT" ]

3

2019-06-17T18:14:49.000Z

2019-11-07T10:23:33.000Z

#!/usr/bin/env docker-script #!python:latest python import os, sys details = os.uname() print('Uname: ', details.sysname, details.release, details.machine) print('Guest CWD:', os.getcwd()) print('Host CWD: ', os.environ['HOST_CWD']) print('argv: ', sys.argv)

24.363636

70

0.679104

38

268

4.763158

0.578947

0.055249

0

0.126866

268

10

71

26.8

0.773504

0.179104

0

0.220183

0

1

0

false

0

0.166667

0

0.166667

0.666667

0

null

0

null

0

1

0

1

77c4906ed898f5765c5f91376752902605a14837

9,340

py

Python

mathscup v2.py

bosscoder88/maths-cup

c3d1d4755286c6fa14a877579cdbdc11402f5c72

[ "CC0-1.0" ]

1

2020-12-13T19:28:32.000Z

mathscup v2.py

bosscoder88/maths-cup

c3d1d4755286c6fa14a877579cdbdc11402f5c72

[ "CC0-1.0" ]

null

mathscup v2.py

bosscoder88/maths-cup

c3d1d4755286c6fa14a877579cdbdc11402f5c72

[ "CC0-1.0" ]

null

#### Startup ## import random from time import sleep as s names = [] thirdPlace = [] for x in range(1, 33): print("Name", x) name = input("Please enter a name: ") names.append(name) #print(names) ## This line is for bug fixing, uncomments if you want to check all the names are in the list. print("Welcome to Maths Cup!") print("Today, the rounds will be as follows:\n") print("""Round 1: Multiplication Round 2: Division Quarter Final: Bidmas Semi Final: HCF and LCM Third place/Final: Mean\n\n\n""") s(5) ###################################### ######################## Round 32 #### ###################################### print("Round 32") for x in range(1, 17): random.shuffle(names) print("""========== Question""", x, "\n==========") no1 = random.randint(15, 50) no2 = random.randint(10,30) p1 = names[0] players = int(len(names)) player = int(players - 1) p2 = names[player] print(p1, "is player 1, and", p2, "is player 2!") input("Please press enter when you are ready to recieve your question.\n") print("##########################\n") print("Your question is:", no1, "x", no2, "\n") print("##########################\n") won = int(input("Please type either 1 or 2 depending on who won the round. ")) print("\nThe correct answer was indeed", no1*no2) if won == 1: del names[player] print("\nCongratulations,", p1, "!") print("Better luck next time,", p2, "!\n\n") if won == 2: del names[0] print("Congratulations,", p2, "!") print("Better luck next time,", p1, "!\n\n") print("Who's made it through to the next round?") for x in names: print(x) s(5) ###################################### ######################## Round 16 #### ###################################### print("\n\n\nRound 16!") print("For this round, please round your answers to 2 d.p. where necessary.") for x in range(1, 9): random.shuffle(names) print("""========== Question""", x, "\n==========") no1 = random.randint(15, 50) no2 = random.randint(4,12) p1 = names[0] players = int(len(names)) player = int(players - 1) p2 = names[player] print(p1, "is player 1, and", p2, "is player 2!") input("Please press enter when you are ready to recieve your question.\n") print("##########################\n") print("Your question is:", no1, "÷", no2, "\n") print("##########################\n") won = int(input("Please type either 1 or 2 depending on who won the round. ")) print("\nThe correct answer was indeed", no1/no2) if won == 1: del names[player] print("\nCongratulations,", p1, "!") print("Better luck next time,", p2, "!\n\n") if won == 2: del names[0] print("Congratulations,", p2, "!") print("Better luck next time,", p1, "!\n\n") print("Who's made it through to the next round?") for x in names: print(x) s(5) ###################################### ################### Quarter Final #### ###################################### print("\n\n\nQuarter Final!") for x in range(1, 5): random.shuffle(names) print("""========== Question""", x, "\n==========") no1 = random.randint(15, 50) no2 = random.randint(4, 12) no3 = random.randint(10, 20) p1 = names[0] players = int(len(names)) player = int(players - 1) p2 = names[player] print(p1, "is player 1, and", p2, "is player 2!") input("Please press enter when you are ready to recieve your question.\n") print("##########################\n") print("Your question is:", no1, "-", no2, "x", no3, "\n") print("##########################\n") won = int(input("Please type either 1 or 2 depending on who won the round. ")) print("\nThe correct answer was indeed", no1-no2*no3) if won == 1: del names[player] print("\nCongratulations,", p1, "!") print("Better luck next time,", p2, "!\n\n") if won == 2: del names[0] print("Congratulations,", p2, "!") print("Better luck next time,", p1, "!\n\n") print("Who's made it through to the next round?") for x in names: print(x) s(5) ###################################### ###################### Semi Final #### ###################################### print("\n\n\nSemi Final!") for x in range(1, 3): random.shuffle(names) print("""========== Question""", x, "\n==========") numbers1 = ["4", "6", "8", "10", "12", "14", "16", "18", "20", "24"] numbers2 = ["8", "18", "36", "40", "28", "32", "54"] no1 = random.choice(numbers1) no2 = random.choice(numbers2) p1 = names[0] players = int(len(names)) player = int(players - 1) p2 = names[player] print(p1, "is player 1, and", p2, "is player 2!") input("Please press enter when you are ready to recieve your question.\n") print("##########################\n") print("Please find the HCF and LCM of these numbers:", no1, "and", no2) print("\n##########################\n") won = int(input("Please type either 1 or 2 depending on who won the round. ")) ### number1 = int(no1) number2 = int(no2) temp1 = number1 temp2 = number2 while temp2 != 0: t = temp2 temp2 = temp1%temp2 temp1 = t hcf = temp1 lcm = (number1*number2)/hcf print("The HCF was", hcf, "and the LCM was", lcm, "\n\n") if won == 1: thirdPlace.append(p2) del names[player] print("\nCongratulations,", p1, "!") print("Better luck next time,", p2, "!\n\n") if won == 2: thirdPlace.append(p1) del names[0] print("Congratulations,", p2, "!") print("Better luck next time,", p1, "!\n\n") print("Who's made it through to the next round?") for x in names: print(x) print("\nHowever, this time, these people made it to the 3rd place round!") for entry in thirdPlace: print(entry) s(5) ###################################### ############## 3rd place play-off #### ###################################### print("\n\n\n3rd Place play-off!") random.shuffle(names) print("""========== Question 1 ==========""") numbers = [] for x in range(1,10): numbers.append(random.randint(2, 14)) #print(numbers) ## again this is for debugging, uncomment to check the list of numbers. p1 = thirdPlace[0] players = int(len(thirdPlace)) player = int(players - 1) p2 = thirdPlace[player] print(p1, "is player 1, and", p2, "is player 2!") input("Please press enter when you are ready to recieve your question.\n") print("##########################\n") print("Please find the mean of this sequence:") for entry in numbers: print(entry, end=', ') print("\n\n##########################\n") won = int(input("Please type either 1 or 2 depending on who won the round. ")) print("\nThe correct answer was indeed", sum(numbers)/len(numbers)) if won == 1: print("\nCongratulations,", p1, "! You are third place in today's Maths Cup!") print("Better luck next time,", p2, "!\n\n") if won == 2: print("Congratulations,", p2, "! You are third place in today's Maths Cup!") print("Better luck next time,", p1, "!\n\n") print("Let's go to the final and see", names[0], "and", names[1], "battle it out!") s(5) ###################################### ####################### The Final #### ###################################### print("\n\n\nWelcome to the final!\n") print("""In the final, there will be 3 questions. Whoever gets two of those questions correct will be the winner of today's Maths Cup.\n""") random.shuffle(names) p1won = 0 p2won = 0 for x in range(1, 4): print("""========== Question""", x, "\n==========") numbers = [] for x in range(1,10): numbers.append(random.randint(2, 14)) p1 = thirdPlace[0] players = int(len(thirdPlace)) player = int(players - 1) p2 = thirdPlace[player] print(p1, "is player 1, and", p2, "is player 2!") input("Please press enter when you are ready to recieve your question.\n") print("##########################\n") print("Please find what the mean is in this sequence:") for entry in numbers: print(entry, end=', ') print("\n\n##########################\n") won = int(input("Please type either 1 or 2 depending on who won the round. ")) print("\nThe correct answer was indeed", sum(numbers)/len(numbers)) if won == 1: p1won = p1won + 1 if p1won < 2: print("Congratulations", p1, ", you have now won", p1won, "games!") print("You can still catch up", p2, ", you have won", p2won, "games!") elif p1won == 2: print("Congratuations", p1, "you have just won today's Maths Cup!") if won == 2: p2won = p2won + 1 if p2won < 2: print("Congratulations", p2, ", you have now won", p2won, "games!") print("You can still catch up", p1, ", you have won", p1won, "games!") elif p2won == 2: print("Congratuations", p2, "you have just won today's Maths Cup!")

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null

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1

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null

0

1

77c4ac6e0829dc7178a6b601892640733f30e784

2,736

py

Python

hmrc_sdes/tests/test_client.py

uktrade/tamato

4ba2ffb25eea2887e4e081c81da7634cd7b4f9ca

[ "MIT" ]

14

2020-03-25T11:11:29.000Z

2022-03-08T20:41:33.000Z

hmrc_sdes/tests/test_client.py

uktrade/tamato

4ba2ffb25eea2887e4e081c81da7634cd7b4f9ca

[ "MIT" ]

352

2020-03-25T10:42:09.000Z

2022-03-30T15:32:26.000Z

hmrc_sdes/tests/test_client.py

uktrade/tamato

4ba2ffb25eea2887e4e081c81da7634cd7b4f9ca

[ "MIT" ]

3

2020-08-06T12:22:41.000Z

2022-01-16T11:51:12.000Z

import json import os from hashlib import md5 from unittest.mock import Mock import pytest from common.tests import factories from hmrc_sdes.api_client import HmrcSdesClient pytestmark = pytest.mark.django_db def test_sdes_client(responses): responses.add( responses.POST, url="https://test-api.service.hmrc.gov.uk/oauth/token", json={ "access_token": "access_token", "token_type": "bearer", "expires_in": 3600, "refresh_token": "refresh_token", "scope": "write:transfer-complete write:transfer-ready", }, ) client = HmrcSdesClient() assert len(responses.calls) == 1 responses.add( responses.POST, url="https://test-api.service.hmrc.gov.uk/organisations/notification/files/transfer/ready/test-srn", ) upload = factories.UploadFactory.build( correlation_id="test-correlation-id", file=Mock(size=1), checksum="test-checksum", ) client.notify_transfer_ready(upload) request = responses.calls[1].request hmrc_json = "application/vnd.hmrc.1.0+json" assert request.headers["Accept"] == hmrc_json assert request.headers["Content-Type"] == f"{hmrc_json}; charset=UTF-8" assert json.loads(responses.calls[1].request.body) == { "informationType": "EDM", "correlationID": upload.correlation_id, "file": { "fileName": upload.filename, "fileSize": upload.file.size, "checksum": upload.checksum, "checksumAlgorithm": "MD5", }, } @pytest.mark.hmrc_live_api def test_api_call(responses, settings): responses.add_passthru(settings.HMRC["base_url"]) # reload settings from env, overriding test settings dotenv.read_dotenv(os.path.join(settings.BASE_DIR, ".env")) settings.HMRC["client_id"] = os.environ.get("HMRC_API_CLIENT_ID") settings.HMRC["client_secret"] = os.environ.get("HMRC_API_CLIENT_SECRET") settings.HMRC["service_reference_number"] = os.environ.get( "HMRC_API_SERVICE_REFERENCE_NUMBER" ) # fetches OAuth2 access token on instantiation client = HmrcSdesClient() assert client.get_session().token is not None # check fraud prevention headers result = client.get( f"{client.base_url}/test/fraud-prevention-headers/validate", ).json() assert result.get("errors") is None # generate a dummy upload of an empty file with a valid checksum upload = factories.UploadFactory() upload.file = Mock(size=0) upload.checksum = md5("".encode("utf-8")).hexdigest() response = client.notify_transfer_ready(upload) assert response.status_code == 204 # no data on success

30.065934

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2,736

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0.074148

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0.015152

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0.136364

0

null

0

null

0

1

0

77c4b823daa25924e42b9613fee9df7dab7601e4

6,301

py

Python

model/train/AdvancedEAST.py

JinGyeSetBirdsFree/FudanOCR

e6b18b0eefaf832b2eb7198f5df79e00bd4cee36

[ "MIT" ]

25

2020-02-29T12:14:10.000Z

2020-04-24T07:56:06.000Z

model/train/AdvancedEAST.py

dun933/FudanOCR

fd79b679044ea23fd9eb30691453ed0805d2e98b

[ "MIT" ]

33

2020-12-10T19:15:39.000Z

2022-03-12T00:17:30.000Z

model/train/AdvancedEAST.py

dun933/FudanOCR

fd79b679044ea23fd9eb30691453ed0805d2e98b

[ "MIT" ]

4

2020-02-29T12:14:18.000Z

2020-04-12T12:26:50.000Z

# -*- coding: utf-8 -*- def train_AEAST(config_file): import sys sys.path.append('./detection_model/AdvancedEAST') import os import argparse import time import numpy as numpy import torch import torch.nn as nn import torch.backends.cudnn as cudnn from torch.utils.data import DataLoader from torch.optim import Adam from torch.optim.lr_scheduler import LambdaLR from tqdm import tqdm import config as cfg from utils.data_utils import custom_dset, collate_fn from network.AEast import East from network.loss import LossFunc from utils.utils import AverageMeter, save_log from utils.earlystop import EarlyStopping os.environ["CUDA_VISIBLE_DEVICES"] = "0,3" from yacs.config import CfgNode as CN def read_config_file(config_file): f = open(config_file) opt = CN.load_cfg(f) return opt opt = read_config_file(config_file) class Wrapped: def __init__(self, train_loader, val_loader, model, criterion, optimizer, scheduler, start_epoch, val_loss_min): self.train_loader = train_loader self.val_loader = val_loader self.model = model self.criterion = criterion self.optimizer = optimizer self.scheduler = scheduler # self.start_epoch = start_epoch # self.tick = time.strftime("%Y%m%d-%H-%M-%S", time.localtime(time.time())) self.earlystopping = EarlyStopping(opt.patience, val_loss_min) def __call__(self): for epoch in tqdm(range(self.start_epoch + 1, opt.max_epoch + 1), desc='Epoch'): if epoch == 1: tqdm.write("Validating pretrained model.") self.validate(0) if epoch > 1 and epoch % opt.decay_step == 0: tqdm.write("Learning rate - Epoch: [{0}]: {1}".format(epoch - 1,self.optimizer.param_groups[0]['lr'])) self.train(epoch) if self.validate(epoch): # if earlystop print('Earlystopping activates. Training stopped.') break def validate(self, epoch): losses = AverageMeter() self.model.eval() for i, (img, gt) in tqdm(enumerate(self.val_loader), desc='Val', total=len(self.val_loader)): img = img.cuda() gt = gt.cuda() east_detect = self.model(img) loss = self.criterion(gt, east_detect) losses.update(loss.item(), img.size(0)) tqdm.write('Validate Loss - Epoch: [{0}] Avg Loss {1}'.format(epoch,losses.avg)) save_log(losses, epoch, i + 1, len(self.val_loader), self.tick, split='Validation') earlystop, save = self.earlystopping(losses.avg) if not earlystop and save: state = { 'epoch': epoch, 'state_dict': self.model.module.state_dict(), 'optimizer': self.optimizer.state_dict(), 'scheduler': self.scheduler.state_dict(), 'val_loss_min': losses.avg } self.earlystopping.save_checkpoint(state, losses.avg) return earlystop def train(self, epoch): losses = AverageMeter() self.model.train() for i, (img, gt) in tqdm(enumerate(self.train_loader), desc='Train', total=len(self.train_loader)): img = img.cuda() gt = gt.cuda() east_detect = self.model(img) loss = self.criterion(gt, east_detect) losses.update(loss.item(), img.size(0)) # backward propagation self.scheduler.step() self.optimizer.zero_grad() loss.backward() self.optimizer.step() if (i + 1) % opt.print_step == 0: tqdm.write( 'Training loss - Epoch: [{0}][{1}/{2}] Loss {loss.val:.4f} Avg Loss {loss.avg:.4f}'.format( epoch, i + 1, len(self.train_loader), loss=losses)) save_log(losses, epoch, i + 1, len(self.train_loader), self.tick, split='Training') class LRPolicy: def __init__(self, rate, step): self.rate = rate self.step = step def __call__(self, it): return self.rate ** (it // self.step) print('=== AdvancedEAST ===') print('Task id: {0}'.format(opt.task_id)) print('=== Initialzing DataLoader ===') print('Multi-processing on {0} cores'.format(opt.num_process)) batch_size = opt.batch_size_per_gpu trainset = custom_dset(split='train') valset = custom_dset(split='val') train_loader = DataLoader(trainset, batch_size=batch_size, shuffle=True, collate_fn=collate_fn, num_workers=opt.num_workers, drop_last=False) val_loader = DataLoader(valset, batch_size=1, collate_fn=collate_fn, num_workers=opt.num_workers) print('=== Building Network ===') model = East() model = model.cuda() os.environ["CUDA_VISIBLE_DEVICES"] = "1,2" model = nn.DataParallel(model, device_ids=opt.gpu_ids) # 数据并行 params = sum(p.numel() for p in model.parameters() if p.requires_grad) print('Total parameters: {0}'.format(params)) cudnn.benchmark = True criterion = LossFunc() optimizer = Adam(model.parameters(), lr=opt.lr_rate) # decay every opt.decay_step epoch / every decay_step iter decay_step = len(train_loader) * opt.decay_step scheduler = LambdaLR(optimizer, lr_lambda=LRPolicy(rate=opt.decay_rate, step=decay_step)) print('Batch size: {0}'.format(batch_size)) print('Initial learning rate: {0}\nDecay step: {1}\nDecay rate: {2}\nPatience: {3}'.format( opt.lr_rate, opt.decay_step, opt.decay_rate, opt.patience)) start_epoch = 0 val_loss_min = None print('=== Training ===') wrap = Wrapped(train_loader, val_loader, model, criterion, optimizer, scheduler, start_epoch, val_loss_min) wrap()

40.651613

123

0.577845

749

6,301

4.699599

0.23498

0.03125

0.025568

0.008523

0.213636

0.184659

0.164205

0.153977

0.122727

0.099432

0

0.008947

0.308205

6,301

154

124

40.915584

0.798578

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0.096

0

0.016

0.107125

0.004983

0

1

0.064

false

0

0.152

0.008

0.256

0.088

0

null

0

null

0

1

0

77c6181206707ee1bccc346554b686167d34ae86

1,282

py

Python

Python3/Books/Douson/chapter04/hero's_inventory2.py

neon1ks/Study

5d40171cf3bf5e8d3a95539e91f5afec54d1daf3

[ "MIT" ]

null

Python3/Books/Douson/chapter04/hero's_inventory2.py

neon1ks/Study

5d40171cf3bf5e8d3a95539e91f5afec54d1daf3

[ "MIT" ]

null

Python3/Books/Douson/chapter04/hero's_inventory2.py

neon1ks/Study

5d40171cf3bf5e8d3a95539e91f5afec54d1daf3

[ "MIT" ]

null

# Hero's Inventory 2.0 # Demonstrates tuples # create a tuple with some items and display with a for loop inventory = ("sword", "armor", "shield", "healing potion") print("Your items:") for item in inventory: print(item) input("\nPress the enter key to continue.") # get the length of a tuple print("You have", len(inventory), "items in your possession.") input("\nPress the enter key to continue.") # test for membership with in if "healing potion" in inventory: print("You will live to fight another day.") # display one item through an index index = int(input("\nEnter the index number for an item in inventory: ")) print("At index", index, "is", inventory[index]) # display a slice start = int(input("\nEnter the index number to begin a slice: ")) finish = int(input("Enter the index number to end the slice: ")) print("inventory[", start, ":", finish, "] is", end=" ") print(inventory[start:finish]) input("\nPress the enter key to continue.") # concatenate two tuples chest = ("gold", "gems") print("You find a chest. It contains:") print(chest) print("You add the contents of the chest to your inventory.") inventory += chest print("Your inventory is now:") print(inventory) input("\n\nPress the enter key to exit.")

27.869565

73

0.682527

191

1,282

4.581152

0.39267

0.041143

0.064

0.077714

0.195429

0.173714

0.109714

0

0.001919

0.187207

1,282

45

74

28.488889

0.837812

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0

0.111111

0

0.507163

0

1

0

false

0

0.444444

0

null

0

null

0

1

0

1

77c66ea30fa9ef6d5f9730bf0414d7cdb56d8682

3,579

py

Python

jax_influence/selection.py

google-research/jax-influence

74bd321156b5445bb35b9594568e4eaaec1a76a3

[ "Apache-2.0" ]

8

2022-02-17T10:19:27.000Z

2022-03-28T12:33:57.000Z

jax_influence/selection.py

google-research/jax-influence

74bd321156b5445bb35b9594568e4eaaec1a76a3

[ "Apache-2.0" ]

null

jax_influence/selection.py

google-research/jax-influence

74bd321156b5445bb35b9594568e4eaaec1a76a3

[ "Apache-2.0" ]

1

2022-03-02T14:32:56.000Z

# Copyright 2021 The Jax Influence Authors. # # 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. # Copyright 2021 Google LLC # # 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. """Utilities for selecting subsets of parameters.""" from typing import Mapping, Union, Tuple import flax from flax import traverse_util import jax import jax.numpy as jnp from jax_influence.types import PyTree from jax_influence.types import SelectionFn def split_params(params: PyTree, select_path_fn: SelectionFn) -> Tuple[PyTree, PyTree]: """Decomposes parameters in two pieces using a selection function. Args: params: Frozen dict of parameters. select_path_fn: Evaluates to True for the parameter paths to be selected. Returns: A Tuple (`selected', `unselected'), where the first contains the parameters taken by the selection function and the second contains the remaining parameters. """ flattened = traverse_util.flatten_dict(flax.core.unfreeze(params)) selected, unselected = dict(), dict() for k, v in flattened.items(): if select_path_fn(k): selected[k] = v else: unselected[k] = v selected = traverse_util.unflatten_dict(selected) unselected = traverse_util.unflatten_dict(unselected) return flax.core.FrozenDict(selected), flax.core.FrozenDict(unselected) def merge_params(params_left: PyTree, params_right: PyTree) -> PyTree: """Merges two dictionaries of parameters. Args: params_left: First PyTree. params_right: Second PyTree. Returns: The merge of the two parameter PyTrees. """ out = traverse_util.flatten_dict(flax.core.unfreeze(params_left)) params_right = traverse_util.flatten_dict(flax.core.unfreeze(params_right)) for k, v in params_right.items(): assert k not in params_left out[k] = v out = traverse_util.unflatten_dict(out) return flax.core.FrozenDict(out) def param_size(params: PyTree) -> int: """Computes the total size of parameters.""" sizes = jax.tree_map(jnp.size, params) return sum(jax.tree_leaves(sizes)) def summarize_split_effect( params: PyTree, select_fn: SelectionFn) -> Mapping[str, Union[str, int, float]]: """Summarizes the effect of splitting parameters.""" total_size = param_size(params) sel, _ = split_params(params, select_fn) selected_size = param_size(sel) out = {} out['total_size'] = total_size out['pretty_total_size'] = f'{total_size:.3e}' out['selected_size'] = selected_size out['pretty_selected_size'] = f'{selected_size:.3e}' out['selected%'] = selected_size / total_size return out

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null

0

null

0

1

0

77c6869548be7b262a6b24e861485690a9a1e3b0

20,327

py

Python

CureIAM/processors/gcpcloudiam.py

gojek/CureIAM

83cdf6ef4d61b563ae8ac69fbf008f8338f6361f

[ "Apache-2.0" ]

17

2021-11-10T08:32:31.000Z

2022-03-03T12:20:38.000Z

CureIAM/processors/gcpcloudiam.py

gojekfarm/CureIAM

83cdf6ef4d61b563ae8ac69fbf008f8338f6361f

[ "Apache-2.0" ]

null

CureIAM/processors/gcpcloudiam.py

gojekfarm/CureIAM

83cdf6ef4d61b563ae8ac69fbf008f8338f6361f

[ "Apache-2.0" ]

3

2021-11-11T17:20:16.000Z

2021-12-02T20:00:34.000Z

"""Plugin to process the data retrieved from `gcpcloud.CureIAM` plugin """ import json import logging import datetime from CureIAM.models.iamriskscore import IAMRiskScoreModel from CureIAM.models.applyrecommendationmodel import IAMApplyRecommendationModel from CureIAM import util _log = logging.getLogger(__name__) class GCPIAMRecommendationProcessor: """SimpleProcessor plugin to perform processing on gcpcloud.CureIAM IAMRecommendation_record.""" def __init__(self, enable_enforcer=False, enforcer=None): """Create an instance of :class:`GCPIAMRecommendationProcessor` plugin. """ self._recommendation_applied = 0 self._recommendation_applied_today = 0 self._enforcer = enforcer self._enable_enforcer = enable_enforcer if self._enforcer: self._apply_recommendation_allowlist_projects = enforcer.get('allowlist_projects', None) # Don't perform operations on these projects self._apply_recommendation_blocklist_projects = enforcer.get('blocklist_projects', None) # Don't perform operations on these accounts_ids self._apply_recommendation_blocklist_accounts = enforcer.get('blocklist_accounts', None) self._apply_recommendation_allowlist_account_types = enforcer.get('allowlist_account_types', ['user', 'group']) self._apply_recommendation_blocklist_account_types = enforcer.get('blocklist_account_types', ['serviceAccount']) # Min recommendation apply score is 60 to default for user self._apply_recommendation_min_score_user = enforcer.get('min_safe_to_apply_score_user', 60) # Min recommendation apply score is 60 to default for groups self._apply_recommendation_min_score_group = enforcer.get('min_safe_to_apply_score_group', 60) # Min recommendation apply score is 60 to default for SA self._apply_recommendation_min_score_SA = enforcer.get('min_safe_to_apply_score_SA', 60) self._apply_recommendations_svc_acc_key_file = enforcer.get('key_file_path', None) self._cloud_resource = util.build_resource( service_name='cloudresourcemanager', key_file_path=self._apply_recommendations_svc_acc_key_file ) self._recommender_resource = util.build_resource( service_name='recommender', key_file_path=self._apply_recommendations_svc_acc_key_file ) def eval(self, record): """Function to perform data processing. Arguments: record (dict): Record to evaluate. { 'raw': { "name": "projects/{project-id}/locations/{location}/recommenders/google.iam.policy.Recommender/recommendations/{recommendation-id}", "description": "Replace the current role with a smaller role to cover the permissions needed.", "lastRefreshTime": "2021-01-18T08:00:00Z", "primaryImpact": { "category": "SECURITY" }, "content": { "operationGroups": [ { "operations": [ { "action": "add", "resourceType": "cloudresourcemanager.googleapis.com/Project", "resource": "//cloudresourcemanager.googleapis.com/projects/565961175665", "path": "/iamPolicy/bindings/*/members/-", "value": "user:foo@bar.com", "pathFilters": { "/iamPolicy/bindings/*/condition/expression": "", "/iamPolicy/bindings/*/role": "roles/storage.objectCreator" } }, { "action": "remove", "resourceType": "cloudresourcemanager.googleapis.com/Project", "resource": "//cloudresourcemanager.googleapis.com/projects/565961175665", "path": "/iamPolicy/bindings/*/members/*", "pathFilters": { "/iamPolicy/bindings/*/condition/expression": "", "/iamPolicy/bindings/*/members/*": "user:<user-name>@<doamin.com>", "/iamPolicy/bindings/*/role": "roles/storage.objectAdmin" } } } ] }, "stateInfo": { "state": "ACTIVE" }, "etag": "\"ef625ab631b20e49\"", "recommenderSubtype": "REPLACE_ROLE", "associatedInsights": [ { "insight": "projects/{project-id}/locations/{location}/recommenders/google.iam.policy.Recommender/recommendations/{recommendation-id}" } ] } } Yields: dict: Processed record. { 'GCPIAMProcessor': { 'record_type': 'iam_recommendation' 'recommendation_name' : name, 'project': project, 'recommendation_description' : description, 'recommendation_action': content.operationGroups.operations[i], 'recommendetion_recommender_subtype': recommenderSubtype, 'recommendation_insights': associatedInsights } } """ # Extract the different `CureIAM_record.recommendation_action.value` # from the gcpcloud.GCPCloudIAMRecommendations iam_raw_record = record.get('raw', {}) recommendation_dict = dict() if iam_raw_record is not None: recommendation_dict.update( { 'project' : iam_raw_record['project'], 'recommendation_id': iam_raw_record['name'], 'recommendation_description': iam_raw_record['description'], 'recommendation_actions' : iam_raw_record['content']['operationGroups'][0]['operations'], 'recommendetion_recommender_subtype': iam_raw_record['recommenderSubtype'], 'recommendation_insights': [ i.get('insights') for i in iam_raw_record['associatedInsights']] } ) # Identify the account type on which recommendation is fetched # If iam_raw_record['recommenderSubtype'] is REPLACE_ROLE, then user # info will be present as iam_raw_record['content']['operationGroups']['operations'] list _actor = '' _actor_total_permissions = 0 _actor_exercised_permissions = 0 _actor_exercised_permissions_category = '' for op_grp in iam_raw_record['content']['operationGroups']: for op in op_grp['operations']: if op['action'] == 'remove': _actor = op['pathFilters']['/iamPolicy/bindings/*/members/*'] # After above parsing _actor would contain something like # <account_type>:<account_id> _actor_type, _actor = _actor.split(':') recommendation_dict.update( { 'account_type': _actor_type, 'account_id': _actor } ) # Get all the Permissions the current actor have # insights is a list, in case of multiple insights # all insights will have same `currentTotalPermissionsCount` # So we are good to include the results from the first one # only. insights = iam_raw_record.get('insights', None) if insights: _content = insights[0].get('content', None) if _content: _actor_exercised_permissions = len(_content.get( 'exercisedPermissions', [] )) + len( _content.get( 'inferredPermissions', [] ) ) _actor_total_permissions = _content.get( 'currentTotalPermissionsCount', '0' ) _actor_exercised_permissions_category = insights[0].get( 'category', '' ) recommendation_dict.update( { 'account_total_permissions': int(_actor_total_permissions), 'account_used_permissions': _actor_exercised_permissions, 'account_permission_insights_category': _actor_exercised_permissions_category } ) _res = { 'raw': iam_raw_record, 'processor': recommendation_dict , 'score': IAMRiskScoreModel(recommendation_dict).score(), 'apply_recommendation': IAMApplyRecommendationModel(recommendation_dict).model() } _res['apply_recommendation'].update( { 'safe_to_apply_score': _res['score']['safe_to_apply_recommendation_score'] } ) # If recommendation was applied in past # update the risk score and safe_to_apply_ # _score to 0 if _res['raw']['stateInfo']['state']=='SUCCEEDED': _res['score'].update( { 'risk_score': 0, 'over_privilege_score': 0 } ) self._recommendation_applied += 1 _log.info('Recommendation %s applied in past, setting score to 0', recommendation_dict['recommendation_id']) # enforce the recommendation before saving it in DB. # Also dont re-apply the recommendation is it is already applied if self._enforcer and _res['raw']['stateInfo']['state']=='ACTIVE': _log.info('Enforcing recommendation %s ...', recommendation_dict['recommendation_id']) _recomemndation_applied = self._enforce_recommendation(_res) if _recomemndation_applied: _res['raw']['stateInfo']['state'] = 'SUCCEEDED' _res['apply_recommendation'].update( { 'recommendation_state': 'Applied', 'recommendation_applied_time': str(datetime.datetime.utcnow().isoformat()) } ) _res['score'].update( { 'risk_score': 0, 'over_privilege_score': 0 } ) self._recommendation_applied_today += 1 _log.info('Applied Recommendation %s', recommendation_dict['recommendation_id']) else: _log.warn('Recommendation %s not applied', recommendation_dict['recommendation_id']) yield _res def _enforce_recommendation(self, record): """Method to perform Recommendation enforcement IAM recommendation doesn't have API to apply the recommendation directly rather we will have to create IAM resource which will perform the policy enforcement. This method does the same. Arguments: record(dict): dict record contaning raw + processor record Returns: bool: Indicating if the we were able to successfully apply recommendation or not. """ """ Flow: Apply IAM policy from recommender - success - mark recommendation as succeeded - return True - no - dont change the recommendation status - return False """ if not self._enable_enforcer : return cloud_resource = self._cloud_resource recommender_resource = self._recommender_resource _processor_record = record.get('processor', None) _score_record = record.get('score', None) if _processor_record and _score_record: _project = _processor_record.get('project', None) _recommendation_actions = _processor_record.get('recommendation_actions', None) _recommendation_id = _processor_record.get('recommendation_id', None) _account_id = _processor_record.get('account_id') _account_type = _processor_record.get('account_type') _safety_score = _score_record.get('safe_to_apply_recommendation_score', None) _we_want_to_apply_recommendation = False _log.info('Testing recommendation for project %s; account %s; safety_score %d', _project, _account_id, _safety_score) if ( ( self._apply_recommendation_allowlist_projects is None or (_project not in self._apply_recommendation_blocklist_projects and _project in self._apply_recommendation_allowlist_projects) ) and ( _account_type not in self._apply_recommendation_blocklist_account_types and _account_type in self._apply_recommendation_allowlist_account_types ) and ( _account_id not in self._apply_recommendation_blocklist_accounts ) ): # If Recommendation is for SA, apply only for ['REMOVE_ROLE', 'REPLACE_ROLE'] if ( _account_type == 'serviceAccount' and _processor_record.get('recommendetion_recommender_subtype') in ['REMOVE_ROLE', 'REPLACE_ROLE'] ): _we_want_to_apply_recommendation = True else: if _account_type != 'serviceAccount': # If user is owner of any project dont apply recommendation # <TODO> this is very bad of detecting owners, need to find better way of doing this. if not 'owner' in str(record['raw']['content']['operationGroups']): _we_want_to_apply_recommendation = True if _account_id == 'user' and _safety_score < self._apply_recommendation_min_score_user: _we_want_to_apply_recommendation = False elif _account_id == 'group' and _safety_score < self._apply_recommendation_min_score_group: _we_want_to_apply_recommendation = False elif _account_id == 'SA' and _safety_score < self._apply_recommendation_min_score_SA: _we_want_to_apply_recommendation = False if _we_want_to_apply_recommendation: _log.info('Applying recommendation for project %s; account %s; account_type %s ; safety_score %d', _project, _account_id, _account_type, _safety_score) _policies = ( cloud_resource.projects() .getIamPolicy( resource=_project, body={"options": {"requestedPolicyVersion": "1"}} ).execute() ) _updated_policies = _policies for _recommendation_action in _recommendation_actions: if _recommendation_action.get('action') == 'remove': member = ( _recommendation_action.get('pathFilters') .get('/iamPolicy/bindings/*/members/*') ) role = ( _recommendation_action.get('pathFilters') .get('/iamPolicy/bindings/*/role') ) _updated_policies = self.modify_policy_remove_member( _updated_policies, role, member ) elif _recommendation_action.get('action') == 'add': member = _recommendation_action.get('value') role = ( _recommendation_action.get('pathFilters') .get('/iamPolicy/bindings/*/role') ) _updated_policies = self.modify_policy_add_member( _updated_policies, role, member ) #Apply the policies present in recommendations policy = ( cloud_resource.projects() .setIamPolicy(resource=_project, body={'policy': _updated_policies}) .execute() ) # print(policy) # Update the recommendation status. _status = ( recommender_resource .projects() .locations() .recommenders() .recommendations() .markSucceeded( body={ 'etag': record.get('raw').get('etag'), 'stateMetadata': { 'reviewed-by': 'cureiam', 'owned-by': 'security' } }, name=_recommendation_id) .execute() ) # So we have applied recommendation and we are good. return True return False def modify_policy_remove_member(self, policy, role, member): """Removes a member from a role binding.""" try: binding = next(b for b in policy["bindings"] if b["role"] == role) if "members" in binding and member in binding["members"]: binding["members"].remove(member) except StopIteration: # Policy removed in previous iterations pass return policy def modify_policy_add_member(self, policy, role, member): """Adds a new role binding to a policy.""" binding = {"role": role, "members": [member]} policy["bindings"].append(binding) return policy def done(self): """Perform cleanup work. Since this is a mock plugin, this method does nothing. However, a typical event plugin may or may not need to perform cleanup work in this method depending on its nature of work. """ _log.info('Recommendation applied: %s; Recommendations applied today: %s', self._recommendation_applied, self._recommendation_applied_today)

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0.009243

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0.136516

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167

46.197727

0.819669

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0.04625

0

0.002273

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1

0.023166

false

0.003861

0.023166

0

0.069498

0

null

0

null

0

1

0

77c73cfb980dddd0f00259fb140949459a2b3bcc

4,994

py

Python

Stream Ciphers/grain-128.py

PitCoder/Cryptography

42735dc2375b1794b4c4a5b0d029c3b99b91538c

[ "MIT" ]

null

Stream Ciphers/grain-128.py

PitCoder/Cryptography

42735dc2375b1794b4c4a5b0d029c3b99b91538c

[ "MIT" ]

null

Stream Ciphers/grain-128.py

PitCoder/Cryptography

42735dc2375b1794b4c4a5b0d029c3b99b91538c

[ "MIT" ]

null

from bitstring import BitArray, BitStream # Definition of constants KEY_SIZE = 128 REGISTER_SIZE = 128 LAST_INDEX = 127 INITIALIZATION_CLOCKS = 256 def cipher_clocking(register_b, register_s, counter): fx = register_s[counter % REGISTER_SIZE] \ ^ register_s[(LAST_INDEX - (counter + 7)) % REGISTER_SIZE] \ ^ register_s[(LAST_INDEX - (counter + 38)) % REGISTER_SIZE] \ ^ register_s[(LAST_INDEX - (counter + 70)) % REGISTER_SIZE] \ ^ register_s[(LAST_INDEX - (counter + 81)) % REGISTER_SIZE] \ ^ register_s[(LAST_INDEX - (counter + 93)) % REGISTER_SIZE] gx = register_s[(LAST_INDEX - counter) % REGISTER_SIZE] ^ register_b[(LAST_INDEX - counter) % REGISTER_SIZE] \ ^ register_b[(LAST_INDEX - (counter + 26)) % REGISTER_SIZE] \ ^ register_b[(LAST_INDEX - (counter + 56)) % REGISTER_SIZE] \ ^ register_b[(LAST_INDEX - (counter + 91)) % REGISTER_SIZE] \ ^ register_b[(LAST_INDEX - (counter + 96)) % REGISTER_SIZE] \ ^ register_b[(LAST_INDEX - (counter + 3)) % REGISTER_SIZE] and register_b[ (LAST_INDEX - (counter + 67)) % REGISTER_SIZE] \ ^ register_b[(LAST_INDEX - (counter + 11)) % REGISTER_SIZE] and register_b[ (LAST_INDEX - (counter + 13)) % REGISTER_SIZE] \ ^ register_b[(LAST_INDEX - (counter + 17)) % REGISTER_SIZE] and register_b[ (LAST_INDEX - (counter + 18)) % REGISTER_SIZE] \ ^ register_b[(LAST_INDEX - (counter + 27)) % REGISTER_SIZE] and register_b[ (LAST_INDEX - (counter + 59)) % REGISTER_SIZE] \ ^ register_b[(LAST_INDEX - (counter + 40)) % REGISTER_SIZE] and register_b[ (LAST_INDEX - (counter + 48)) % REGISTER_SIZE] \ ^ register_b[(LAST_INDEX - (counter + 61)) % REGISTER_SIZE] and register_b[ (LAST_INDEX - (counter + 65)) % REGISTER_SIZE] \ ^ register_b[(LAST_INDEX - (counter + 68)) % REGISTER_SIZE] and register_b[ (LAST_INDEX - (counter + 64)) % REGISTER_SIZE] hx = register_b[(LAST_INDEX - (counter + 12)) % REGISTER_SIZE] and register_s[ (LAST_INDEX - (counter + 8)) % REGISTER_SIZE] \ ^ register_s[(LAST_INDEX - (counter + 13)) % REGISTER_SIZE] and register_s[ (LAST_INDEX - (counter + 20)) % REGISTER_SIZE] \ ^ register_b[(LAST_INDEX - (counter + 95)) % REGISTER_SIZE] and register_s[ (LAST_INDEX - (counter + 42)) % REGISTER_SIZE] \ ^ register_s[(LAST_INDEX - (counter + 60)) % REGISTER_SIZE] and register_s[ (LAST_INDEX - (counter + 79)) % REGISTER_SIZE] \ ^ register_s[(LAST_INDEX - (counter + 12)) % REGISTER_SIZE] and register_b[ (LAST_INDEX - (counter + 95)) % REGISTER_SIZE] and register_s[ (LAST_INDEX - (counter + 95)) % REGISTER_SIZE] A = [15,36,45,64,73,89] z = register_b[(LAST_INDEX - (counter + 2)) % REGISTER_SIZE] print(register_b) print(register_s) #for j in A: #z = z ^ register_b[(LAST_INDEX - (counter + A[j])) % REGISTER_SIZE] z = z ^ hx ^ register_s[(LAST_INDEX - (counter + 93)) % REGISTER_SIZE] return fx, gx, z def initialization(nfsr, lfsr): for i in range(0,INITIALIZATION_CLOCKS): fx_i, gx_i, zi = cipher_clocking(nfsr, lfsr, i) nfsr = nfsr << 1; nfsr[LAST_INDEX] = fx_i ^ zi; lfsr = lfsr << 1; lfsr[LAST_INDEX] = gx_i ^ zi; return nfsr, lfsr def cipher(nfsr, lfsr): hx_0, gx_0, z_0 = cipher_clocking(nfsr, lfsr, 0) output = z_0 for i in range(1, KEY_SIZE): fx_i, gx_i, zi = cipher_clocking(nfsr, lfsr, i) nfsr = nfsr << 1; nfsr[LAST_INDEX] = fx_i; lfsr = lfsr << 1; lfsr[LAST_INDEX] = gx_i; output = output + zi print(output) return output if __name__ == '__main__': # Define number of rounds NO_ROUNDS = 25 ONES_PADDING = BitArray('0xFFFFFFFF') # Test vector of GRAIN(128 bit key) # IV Key Keystream # 000000000000000000000000 00000000000000000000000000000000 0fd9deefeb6fad437bf43fce35849cfe Big-Endian # 000000000000000000000000 00000000000000000000000000000000 db032aff3788498b57cb894fffb6bb96 Little-Endian # ===================================== # 0123456789abcdef12345678 0123456789abcdef123456789abcdef0 f09b7bf7d7f6b5c2de2ffc73ac21397f Big-Endian # 0123456789abcdef12345678 0123456789abcdef123456789abcdef0 afb5babfa8de896b4b9c6acaf7c4fbfd Little-Endian # ===================================== initialization_vector = BitArray('0x000000000000000000000000') key = BitArray('0x00000000000000000000000000000000') # Key and IV Initialization nfsr = key[:] lfsr = ONES_PADDING + initialization_vector[:] nfsr, lfsr = initialization(nfsr, lfsr) keystream = cipher(nfsr, lfsr) print("IV: ", initialization_vector.hex) print("key: ", key.hex) print("keystream: ", keystream.hex)

46.240741

114

0.623148

571

4,994

5.164623

0.192644

0.134283

0.211597

0.14649

0.556121

0.550017

0.52628

0.310275

0.113937

0

0.109371

0.245695

4,994

107

115

46.672897

0.67348

0.154385

0

0.026316

0

0.023283

0.014255

0

0.016631

0

1

0.039474

false

0

0.013158

0

0.092105

0.078947

0

null

0

1

0

null

0

1

77c7afef5c74a339ce18ec675fedbac6397faeca

2,111

py

Python

microanalyst/model/filenames.py

bzaczynski/microanalyst

915d8b3111b98a5e369dbcfe0b88c84ade9faec8

[ "MIT" ]

3

2017-06-06T18:54:28.000Z

2021-06-11T13:06:40.000Z

microanalyst/model/filenames.py

bzaczynski/microanalyst

915d8b3111b98a5e369dbcfe0b88c84ade9faec8

[ "MIT" ]

null

microanalyst/model/filenames.py

bzaczynski/microanalyst

915d8b3111b98a5e369dbcfe0b88c84ade9faec8

[ "MIT" ]

null

#!/usr/bin/env python # The MIT License (MIT) # # Copyright (c) 2013 Bartosz Zaczynski # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. from microanalyst.commons import osutils from microanalyst.model.commons import flatten class Filenames(object): """Helper class for filename handling.""" def __init__(self, json_data): self.filenames = _process(json_data) def get(self, with_path, iteration): """Return a flat list of filenames in their original order.""" def normalize(filenames): if not with_path: return [osutils.basename(x) for x in filenames] return filenames if iteration is not None: return normalize(list(self.filenames[iteration])) else: return normalize(flatten(self.filenames)) def _process(json_data): """Return a list of filenames grouped by iteration.""" iterations = [] for iteration in json_data[u'iterations']: filenames = [x[u'filename'] for x in iteration[u'spreadsheets']] iterations.append(filenames) return iterations

36.396552

79

0.720512

290

2,111

5.203448

0.482759

0.058317

0.01723

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null

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77c83499cfbfd5ad6ff4654b86b77b358a42fede

7,864

py

Python

models/abstract_model.py

kkangshen/bayesian-deep-rul

449038571097cfccee5e128623a16a963a4dca63

[ "MIT" ]

6

2020-02-28T14:56:46.000Z

2022-03-24T02:44:56.000Z

models/abstract_model.py

kkangshen/bayesian-deep-rul

449038571097cfccee5e128623a16a963a4dca63

[ "MIT" ]

null

models/abstract_model.py

kkangshen/bayesian-deep-rul

449038571097cfccee5e128623a16a963a4dca63

[ "MIT" ]

4

2020-01-02T15:03:02.000Z

2022-03-10T12:46:35.000Z

# -*- coding: utf-8 -*- """Abstract model definition.""" from collections import OrderedDict import numpy as np import torch import torch.nn as nn class AbstractModel(nn.Module): def __init__(self, input_size): """ Parameters ---------- module : ModuleType Module defining the model. input_size : (int, int, int) Input size. """ super(AbstractModel, self).__init__() self.input_size = input_size self.criterion = nn.MSELoss(reduction="sum") self.layers = None def forward(self, x): """Forward pass. Parameters ---------- x : Tensor Input sample. Returns ------- Tensor Output label. """ if not self.layers: raise NotImplementedError self.kl = 0 for layer in self.layers: out = layer(x) if len(out) == 2: # TODO: improve # Bayesian x, _kl = out self.kl += _kl else: # frequentist x = out return x.view(-1) def loss(self, pred, label, beta=0): """Compute loss. Parameters ---------- pred : Tensor Predicted label. label : Tensor True label. beta : float, optional Beta factor. Returns ------- Tensor Loss. """ if not self.layers: raise NotImplementedError likelihood = -0.5 * self.criterion(pred, label) complexity = beta * self.kl if beta != 0 else 0 return complexity - likelihood def get_weight_statistics(self): """Extract weight statistics for later visualization (bias not used). Returns ------- ([str], [ndarray], [ndarray]) List of layer names, list of 1D array of `float` representing layer weight means, list of 1D array of `float` representing layer weight standard deviations. """ if not self.layers: raise NotImplementedError names = [] qmeans = [] qstds = [] for idx, layer in enumerate(self.layers): if hasattr(layer, "qw_mean") and hasattr(layer, "log_alpha"): names.append(str(layer.__class__).split(".")[-1].split("'")[0] + "-" + str(idx + 1)) qmeans.append(layer.qw_mean.detach().cpu().numpy()) qstds.append(np.sqrt(np.exp(layer.log_alpha.detach().cpu().numpy()) * (layer.qw_mean.detach().cpu().numpy() ** 2))) else: trainable_params = [param.detach().cpu().numpy() for param in layer.parameters() if param.requires_grad] if len(trainable_params) > 0: weights = np.asarray(trainable_params[0]) names.append(str(layer.__class__).split(".")[-1].split("'")[0] + "-" + str(idx + 1)) qmeans.append(weights) qstds.append(np.zeros(weights.shape)) return names, qmeans, qstds # Source code modified from: # Title: sksq96/pytorch-summary # Author: Shubham Chandel (sksq96) # Date: 2018 # Availability: https://github.com/sksq96/pytorch-summary/tree/b50f213f38544ac337beeeda93b03c7e48e69c78 def summary(self, log_fn, batch_size=-1, device="cuda"): """Log model summary. Parameters ---------- log_fn : callable Logging function. batch_size : int, optional Batch size. device : string, optional Device. Returns ------- int Number of trainable parameters. """ if not self.layers: raise NotImplementedError def register_hook(module): def hook(module, input, output): class_name = str(module.__class__).split(".")[-1].split("'")[0] module_idx = len(summary) m_key = "%s-%i" % (class_name, module_idx + 1) summary[m_key] = OrderedDict() summary[m_key]["input_shape"] = list(input[0].size()) summary[m_key]["input_shape"][0] = batch_size if isinstance(output, (list, tuple)): summary[m_key]["output_shape"] = [[-1] + list(o.size())[1 :] for o in output][0] else: summary[m_key]["output_shape"] = list(output.size()) summary[m_key]["output_shape"][0] = batch_size params = 0 if hasattr(module, "params_count") and callable(module.params_count): params += module.params_count() summary[m_key]["trainable"] = True if hasattr(module, "weight") and hasattr(module.weight, "size"): params += torch.prod(torch.LongTensor(list(module.weight.size()))) summary[m_key]["trainable"] = module.weight.requires_grad if hasattr(module, "bias") and hasattr(module.bias, "size"): params += torch.prod(torch.LongTensor(list(module.bias.size()))) summary[m_key]["nb_params"] = params if ( not isinstance(module, nn.Sequential) and not isinstance(module, nn.ModuleList) and not (module == self) ): hooks.append(module.register_forward_hook(hook)) device = device.lower() assert device in [ "cuda", "cpu", ], "Input device is not valid, please specify 'cuda' or 'cpu'." if device == "cuda" and torch.cuda.is_available(): dtype = torch.cuda.FloatTensor else: dtype = torch.FloatTensor # multiple inputs to the network #if isinstance(input_size, tuple): #input_size = [input_size] # batch_size of 2 for batchnorm #x = [torch.rand(2, *in_size).type(dtype) for in_size in input_size] x = torch.rand(1, *self.input_size).type(dtype) # create properties summary = OrderedDict() hooks = [] # register hook self.apply(register_hook) # make a forward pass #self(*x) self(x) # remove these hooks for h in hooks: h.remove() log_fn("________________________________________________________________") line_new = "{:>20} {:>25} {:>15}".format("Layer (type)", "Output Shape", "Param #") log_fn(line_new) log_fn("================================================================") total_params = 0 trainable_params = 0 line_count = 0 for layer in summary: # input_shape, output_shape, trainable, nb_params line_new = "{:>20} {:>25} {:>15}".format( layer, str(summary[layer]["output_shape"]), "{0:,}".format(summary[layer]["nb_params"]), ) total_params += summary[layer]["nb_params"] if "trainable" in summary[layer]: if summary[layer]["trainable"] == True: trainable_params += summary[layer]["nb_params"] log_fn(line_new) line_count += 1 log_fn("================================================================") log_fn("Total params: {0:,}".format(total_params)) log_fn("Trainable params: {0:,}".format(trainable_params)) log_fn("Non-trainable params: {0:,}".format(total_params - trainable_params)) log_fn("________________________________________________________________") return trainable_params

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0

0.133333

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null

0

null

0

1

0

77c8d398ac338ba0bf2a0226bf85b373294388f7

394

py

Python

weiboCrawler/migrations/0020_auto_20210501_0731.py

SongYuQiu/Social-Network-Portrait-Analysis-System-BackCode

392764ec4944f4df2b9a2cdc9901f9cf32918988

[ "MIT" ]

null

weiboCrawler/migrations/0020_auto_20210501_0731.py

SongYuQiu/Social-Network-Portrait-Analysis-System-BackCode

392764ec4944f4df2b9a2cdc9901f9cf32918988

[ "MIT" ]

null

weiboCrawler/migrations/0020_auto_20210501_0731.py

SongYuQiu/Social-Network-Portrait-Analysis-System-BackCode

392764ec4944f4df2b9a2cdc9901f9cf32918988

[ "MIT" ]

null

# Generated by Django 2.2 on 2021-05-01 07:31 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('weiboCrawler', '0019_weibouser_profile_image_url'), ] operations = [ migrations.RenameField( model_name='weibouser', old_name='profile_image_url', new_name='profile_url', ), ]

20.736842

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394

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0

null

0

1

0

null

0

1

77c9573c06e85833053d03d6dbce3da891ac8dbe

4,316

py

Python

ezql.py

Dimwest/MyEzQL

866c7e853cf605d475e8204a7465f6e596bcf2d8

[ "MIT" ]

10

2019-01-18T15:54:35.000Z

2019-02-21T16:18:41.000Z

ezql.py

Dimwest/MyEzQL

866c7e853cf605d475e8204a7465f6e596bcf2d8

[ "MIT" ]

1

2020-08-08T20:50:00.000Z

ezql.py

Dimwest/MyEzQL

866c7e853cf605d475e8204a7465f6e596bcf2d8

[ "MIT" ]

null

import fire from configparser import ConfigParser from utils.processing import str_to_sql_dict from utils.validation import * from utils.logging import * from parse.worker import Worker from output.cmd import beautify from output.mermaid import Mermaid from output.json import to_json from typing import Optional, List from pathlib import Path class MyEzQl(object): def parse(self, i: str, ds: Optional[str]=None, dl: Optional[str]=None, pmode: Optional[str]=None, chart: Optional[str]=None, json: Optional[str]=None, tables: Optional[List[str]]=None, procedures: Optional[List[str]]=None, fmode: Optional[str]=None, v: Optional[str]=None) -> None: """ Core function parsing input file or directory and pretty-printing results in the terminal. Provides various parsing and output options to tweak according to needs. :param i: path to input .sql file or directory containing .sql files :param ds: default schema, can be set in config.py for convenience purpose :param dl: delimiter, defaults to ;; :param pmode: parsing mode, can be 'procedure' or 'ddl' :param chart: path to output .html flowchart, defaults to '', in which case no output file is created :param json: path to output .json file, defaults to '', in which case no output file is created :param tables: list of table names to filter on, only the parents and children of these table(s) will be kept in the outputs. Procedures filtering has precedence over tables filtering. :param procedures: list of procedure names to filter on, only the statements located inside the selected procedure(s) will be kept in outputs. Procedures filtering has precedence over tables filtering. :param fmode: filtering mode, can be 'simple' or 'rec' :param v: verbosity level, which will ultimately set the DEBUG output level. Must be one of ('v', 'vv', 'vvv', 'vvvv'), defaults to None, resulting in logging.INFO logger level """ # Read config cfg = ConfigParser() cfg.read(f'{Path(__file__).parent}/config.ini') # Set default schema to config value if not provided ds = cfg['parser_config']['default_schema'] if not ds else ds # Set delimiter to config value if not provided dl = cfg['parser_config']['delimiter'] if not dl else dl # Set parsing mode to config value if not provided pmode = cfg['parser_config']['default_parsing_mode'] if not pmode else pmode fmode = cfg['parser_config']['default_filter_mode'] if not fmode else fmode v = cfg['parser_config']['default_verbosity'] if not v else v validate_args(i, chart, json, tables, procedures, pmode, fmode, v) set_verbosity(v) logger.warning(f'\nStart parsing with parameters:' f'\n\n default schema --> {ds}' f'\n delimiter --> {dl}' f'\n parsing mode --> {pmode}' f"\n filter mode --> {fmode if tables or procedures else 'off'} " f"\n{' -> on procedure(s) ' + str(procedures) if procedures else ''}" f"\n{' -> on table(s) ' + str(tables) if tables else ''}") # Configure and run parser worker = Worker(default_schema=ds, delimiter=dl, pmode=pmode, fmode=fmode) worker.run(i) # If procedure filter defined, apply filtering to results if procedures: procedures = str_to_sql_dict(procedures) worker.procedures_filter(procedures) # If tables filter defined, apply filtering to results if tables: tables = str_to_sql_dict(tables) worker.tables_filter(tables) # Pretty print results in terminal beautify(worker.results) # Print errored files if existing worker.execution_warnings() # If .html flowchart output required, create it if chart: m = Mermaid(worker.results) m.tables_chart(chart) if json: to_json(worker.results, json) if __name__ == '__main__': fire.Fire(MyEzQl)

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0.630908

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0

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false

0

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0

0.26

0

null

0

null

0

1

0

77ca100659083b3c68df3e832abc6d77f7424c6b

254

py

Python

tests/pygetwindow/pygetwindow.py

JakubAndrysek/pyspacenavigator-app

97e8049b646cd734f37b50fb2a60169a3b0d34f8

[ "MIT" ]

null

tests/pygetwindow/pygetwindow.py

JakubAndrysek/pyspacenavigator-app

97e8049b646cd734f37b50fb2a60169a3b0d34f8

[ "MIT" ]

null

tests/pygetwindow/pygetwindow.py

JakubAndrysek/pyspacenavigator-app

97e8049b646cd734f37b50fb2a60169a3b0d34f8

[ "MIT" ]

null

from win32gui import GetWindowText, GetForegroundWindow old = "" while True: new =GetWindowText(GetForegroundWindow()) if old != new: # print(new) if new.lower().find("inkscape")>0: print("OK") old = new

15.875

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26

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0

0.016667

0.291339

254

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