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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- from azure.identity import DefaultAzureCredential from azure.mgmt.network import NetworkManagementClient """ # PREREQUISITES pip install azure-identity pip install azure-mgmt-network # USAGE python virtual_network_tap_update_tags.py Before run the sample, please set the values of the client ID, tenant ID and client secret of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET. For more info about how to get the value, please see: https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal """ def main(): client = NetworkManagementClient( credential=DefaultAzureCredential(), subscription_id="subid", ) response = client.virtual_network_taps.update_tags( resource_group_name="rg1", tap_name="test-vtap", tap_parameters={"tags": {"tag1": "value1", "tag2": "value2"}}, ) print(response) # x-ms-original-file: specification/network/resource-manager/Microsoft.Network/stable/2023-04-01/examples/VirtualNetworkTapUpdateTags.json if __name__ == "__main__": main()
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('goals', '0038_remove_behavior_categories'), ] operations = [ migrations.AlterField( model_name='action', name='description', field=models.TextField(help_text='A brief (250 characters) description about this item.', blank=True), ), migrations.AlterField( model_name='action', name='notification_text', field=models.CharField(help_text='Text of the notification (50 characters)', max_length=256, blank=True), ), migrations.AlterField( model_name='action', name='title', field=models.CharField(db_index=True, unique=True, max_length=256, help_text='A unique title for this item (50 characters)'), ), migrations.AlterField( model_name='behavior', name='description', field=models.TextField(help_text='A brief (250 characters) description about this item.', blank=True), ), migrations.AlterField( model_name='behavior', name='informal_list', field=models.TextField(help_text='Use this section to create a list of specific actions for this behavior. This list will be reproduced as a mnemonic on the Action entry page', blank=True), ), migrations.AlterField( model_name='behavior', name='notification_text', field=models.CharField(help_text='Text of the notification (50 characters)', max_length=256, blank=True), ), migrations.AlterField( model_name='behavior', name='title', field=models.CharField(db_index=True, unique=True, max_length=256, help_text='A unique title for this item (50 characters)'), ), migrations.AlterField( model_name='category', name='description', field=models.TextField(help_text='A short (250 character) description for this Category'), ), migrations.AlterField( model_name='category', name='title', field=models.CharField(db_index=True, unique=True, max_length=128, help_text='A Title for the Category (50 characters)'), ), migrations.AlterField( model_name='goal', name='description', field=models.TextField(help_text='A short (250 character) description for this Goal', blank=True), ), migrations.AlterField( model_name='goal', name='icon', field=models.ImageField(null=True, upload_to='goals/goal', help_text='Upload an icon (256x256) for this goal', blank=True), ), migrations.AlterField( model_name='goal', name='title', field=models.CharField(db_index=True, unique=True, max_length=256, help_text='A Title for the Goal (50 characters)'), ), ]
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from django.db import migrations def create_customtext(apps, schema_editor): CustomText = apps.get_model("home", "CustomText") customtext_title = "Fruit Of Peace" CustomText.objects.create(title=customtext_title) def create_homepage(apps, schema_editor): HomePage = apps.get_model("home", "HomePage") homepage_body = """ <h1 class="display-4 text-center">Fruit Of Peace</h1> <p class="lead"> This is the sample application created and deployed from the Crowdbotics app. You can view list of packages selected for this application below. </p>""" HomePage.objects.create(body=homepage_body) def create_site(apps, schema_editor): Site = apps.get_model("sites", "Site") custom_domain = "fruit-of-peace-18240.botics.co" site_params = { "name": "Fruit Of Peace", } if custom_domain: site_params["domain"] = custom_domain Site.objects.update_or_create(defaults=site_params, id=1) class Migration(migrations.Migration): dependencies = [ ("home", "0001_initial"), ("sites", "0002_alter_domain_unique"), ] operations = [ migrations.RunPython(create_customtext), migrations.RunPython(create_homepage), migrations.RunPython(create_site), ]
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# Copyright (c) 2009-2016 Simon van Heeringen <simon.vanheeringen@gmail.com> # # This module is free software. You can redistribute it and/or modify it under # the terms of the MIT License, see the file COPYING included with this # distribution. """ Odds and ends that for which I didn't (yet) find another place """ # Python imports import os import re import sys import random import tempfile from math import log from string import strip from subprocess import Popen from tempfile import NamedTemporaryFile # External imports from scipy import special from scipy.stats import kstest,hypergeom import pybedtools import numpy as np # gimme imports from gimmemotifs.fasta import Fasta from gimmemotifs.shutils import which from gimmemotifs.plot import plot_histogram from gimmemotifs.genome_index import track2fasta lgam = special.gammaln def star(stat, categories): stars = 0 for c in sorted(categories): if stat >= c: stars += 1 else: return stars return stars def phyper_single(k, good, bad, N): return np.exp(lgam(good+1) - lgam(good-k+1) - lgam(k+1) + lgam(bad+1) - lgam(bad-N+k+1) - lgam(N-k+1) - lgam(bad+good+1) + lgam(bad+good-N+1) + lgam(N+1)) def phyper(k, good, bad, N): """ Current hypergeometric implementation in scipy is broken, so here's the correct version """ pvalues = [phyper_single(x, good, bad, N) for x in range(k + 1, N + 1)] return np.sum(pvalues) def divide_file(fname, sample, rest, fraction, abs_max): lines = open(fname).readlines() #random.seed() random.shuffle(lines) x = int(fraction * len(lines)) if x > abs_max: x = abs_max tmp = tempfile.NamedTemporaryFile() # Fraction as sample for line in lines[:x]: tmp.write(line) tmp.flush() # Make sure it is sorted for tools that use this information (MDmodule) stdout,stderr = Popen("sort -k4gr %s > %s" % (tmp.name, sample), shell=True).communicate() tmp.close() if stderr: print "Something went wrong.\nstdout: {}\nstderr; {}".format( stdout, stderr) sys.exit() # Rest f = open(rest, "w") for line in lines[x:]: f.write(line) f.close() #if os.path.exists(tmp.name): # os.unlink(tmp.name) return x, len(lines[x:]) def divide_fa_file(fname, sample, rest, fraction, abs_max): fa = Fasta(fname) ids = fa.ids[:] x = int(fraction * len(ids)) if x > abs_max: x = abs_max sample_seqs = random.sample(ids, x) # Rest f_sample = open(sample, "w") f_rest = open(rest, "w") for name,seq in fa.items(): if name in sample_seqs: f_sample.write(">%s\n%s\n" % (name, seq)) else: f_rest.write(">%s\n%s\n" % (name, seq)) f_sample.close() f_rest.close() return x, len(ids[x:]) def ks_pvalue(values, l): if len(values) == 0: return 1.0 a = np.array(values, dtype="float") / l return kstest(a, "uniform")[1] def write_equalwidth_bedfile(bedfile, width, outfile): """Read input from <bedfile>, set the width of all entries to <width> and write the result to <outfile>. Input file needs to be in BED or WIG format.""" BUFSIZE = 10000 f = open(bedfile) out = open(outfile, "w") lines = f.readlines(BUFSIZE) line_count = 0 while lines: for line in lines: line_count += 1 if not line.startswith("#") and not line.startswith("track") and not line.startswith("browser"): vals = line.strip().split("\t") try: start, end = int(vals[1]), int(vals[2]) except: print "Error on line %s while reading %s. Is the file in BED or WIG format?" % (line_count, bedfile) sys.exit(1) start = (start + end) / 2 - (width / 2) # This shifts the center, but ensures the width is identical... maybe not ideal if start < 0: start = 0 end = start + width # Keep all the other information in the bedfile if it's there if len(vals) > 3: out.write("%s\t%s\t%s\t%s\n" % (vals[0], start, end, "\t".join(vals[3:]))) else: out.write("%s\t%s\t%s\n" % (vals[0], start, end)) lines = f.readlines(BUFSIZE) out.close() f.close() def get_significant_motifs(motifs, fg_fasta, bg_fasta, e_cutoff=None, p_cutoff=None, save_result=None): pass class MotifMatch: def __init__(self, seq, name, instance, start, end, strand, score): self.sequence = seq self.motif_name = name self.motif_instance = instance self.start = start self.end = end self.strand = strand self.score = score class MotifResult: def __init__(self): self.raw_output = "" self.datetime = "" self.command = "" self.fastafile = "" self.params = {} self.program = "" self.feature = "" self.sequences = {} self.motifs = {} self.matches = {} def to_gff(self, gb_format=False): p = re.compile(r'([\w_]+):(\d+)-(\d+)') gff_output = "" for seq, dict in self.matches.items(): for motif, mms in dict.items(): for mm in mms: print_seq = seq (start, end) = (mm.start, mm.end) if gb_format: m = p.match(seq) if m: print_seq = m.group(1) start = int(start) + int(m.group(2)) - 1 end = int(end) + int(m.group(2)) - 1 gff_output += "%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\n" % (print_seq, self.program, self.feature, start, end, mm.score, mm.strand, ".", "motif_name \"%s\" ; motif_instance \"%s\"" % (mm.motif_name, mm.motif_instance)) return gff_output[:-1] def seqn(self): return len(self.sequences.keys()) def parse_gff(gff_file, lowmem=False): mr = MotifResult() total = 0 f = open(gff_file) BUFSIZE = 10000000 while 1: lines = f.readlines(BUFSIZE) if not lines: break for line in lines: vals = line.strip().split("\t") if len(vals) == 9: (seq, program, feature, start, end, score, strand, bla, extra) = vals (motif_name, motif_instance) = map(strip, extra.split(";")) motif_name = motif_name.split(" ")[1][1:-1] motif_instance = motif_instance.split(" ")[1][1:-1] mr.sequences[seq] = 1 if not(mr.motifs.has_key(motif_name)): mr.motifs[motif_name] = {} if not(mr.motifs[motif_name].has_key(seq)): mr.motifs[motif_name][seq] = 0 mr.motifs[motif_name][seq] += 1 else: sys.stderr.write("Error parsing line in %s\n%s\n" % (gff_file, line)) total += len(lines) return mr def calc_motif_enrichment(sample, background, mtc=None, len_sample=None, len_back=None): """Calculate enrichment based on hypergeometric distribution""" INF = "Inf" if mtc not in [None, "Bonferroni", "Benjamini-Hochberg", "None"]: raise RuntimeError, "Unknown correction: %s" % mtc sig = {} p_value = {} n_sample = {} n_back = {} if not(len_sample): len_sample = sample.seqn() if not(len_back): len_back = background.seqn() for motif in sample.motifs.keys(): p = "NA" s = "NA" q = len(sample.motifs[motif]) m = 0 if(background.motifs.get(motif)): m = len(background.motifs[motif]) n = len_back - m k = len_sample p = phyper(q - 1, m, n, k) if p != 0: s = -(log(p)/log(10)) else: s = INF else: s = INF p = 0.0 sig[motif] = s p_value[motif] = p n_sample[motif] = q n_back[motif] = m if mtc == "Bonferroni": for motif in p_value.keys(): if p_value[motif] != "NA": p_value[motif] = p_value[motif] * len(p_value.keys()) if p_value[motif] > 1: p_value[motif] = 1 elif mtc == "Benjamini-Hochberg": motifs = p_value.keys() motifs.sort(cmp=lambda x,y: -cmp(p_value[x],p_value[y])) l = len(p_value) c = l for m in motifs: if p_value[motif] != "NA": p_value[m] = p_value[m] * l / c c -= 1 return (sig, p_value, n_sample, n_back) def calc_enrichment(sample, background, len_sample, len_back, mtc=None): """Calculate enrichment based on hypergeometric distribution""" INF = "Inf" if mtc not in [None, "Bonferroni", "Benjamini-Hochberg", "None"]: raise RuntimeError, "Unknown correction: %s" % mtc sig = {} p_value = {} n_sample = {} n_back = {} for motif in sample.keys(): p = "NA" s = "NA" q = sample[motif] m = 0 if(background[motif]): m = background[motif] n = len_back - m k = len_sample p = phyper(q - 1, m, n, k) if p != 0: s = -(log(p)/log(10)) else: s = INF else: s = INF p = 0.0 sig[motif] = s p_value[motif] = p n_sample[motif] = q n_back[motif] = m if mtc == "Bonferroni": for motif in p_value.keys(): if p_value[motif] != "NA": p_value[motif] = p_value[motif] * len(p_value.keys()) if p_value[motif] > 1: p_value[motif] = 1 elif mtc == "Benjamini-Hochberg": motifs = p_value.keys() motifs.sort(cmp=lambda x,y: -cmp(p_value[x],p_value[y])) l = len(p_value) c = l for m in motifs: if p_value[motif] != "NA": p_value[m] = p_value[m] * l / c c -= 1 return (sig, p_value, n_sample, n_back) def gff_enrichment(sample, background, numsample, numbackground, outfile): data_sample = parse_gff(sample) data_bg = parse_gff(background) (e,p,ns,nb) = calc_motif_enrichment(data_sample, data_bg, "Benjamini-Hochberg", numsample, numbackground) out = open(outfile, "w") out.write("Motif\tSig\tp-value\t# sample\t# background\tEnrichment\n") for m in e.keys(): if nb[m] > 0: enrich = (ns[m] / float(numsample)) / (nb[m] / float(numbackground)) out.write("%s\t%s\t%s\t%s\t%s\t%0.3f\n" % (m, e[m], p[m], ns[m], nb[m], enrich)) else: out.write("%s\t%s\t%s\t%s\t%s\tInf\n" % (m, e[m], p[m], ns[m], nb[m])) out.close() def is_valid_bedfile(bedfile, columns=6): f = open(bedfile) for i, line in enumerate(f.readlines()): if not (line.startswith("browser") or line.startswith("track")): vals = line.split("\t") # Gene file should be at least X columns if len(vals) < columns: sys.stderr.write("Error in line %s: we need at least %s columns!\n" % (i, columns)) return False # Check coordinates try: int(vals[1]), int(vals[2]) except ValueError: sys.stderr.write("Error in line %s: coordinates in column 2 and 3 need to be integers!\n" % (i)) return False if columns >= 6: # We need the strand if vals[5] not in ["+", "-"]: sys.stderr.write("Error in line %s: column 6 (strand information) needs to be + or -" % (i)) return False f.close() return True def median_bed_len(bedfile): f = open(bedfile) l = [] for i, line in enumerate(f.readlines()): if not (line.startswith("browser") or line.startswith("track")): vals = line.split("\t") try: l.append(int(vals[2]) - int(vals[1])) except: sys.stderr.write("Error in line %s: coordinates in column 2 and 3 need to be integers!\n" % (i)) sys.exit(1) f.close() return np.median(l) def motif_localization(fastafile, motif, width, outfile, cutoff=0.9): NR_HIST_MATCHES = 100 matches = motif.pwm_scan(Fasta(fastafile), cutoff=cutoff, nreport=NR_HIST_MATCHES) if len(matches) > 0: ar = [] for a in matches.values(): ar += a matches = np.array(ar) p = ks_pvalue(matches, width - len(motif)) plot_histogram(matches - width / 2 + len(motif) / 2, outfile, xrange=(-width / 2, width / 2), breaks=21, title="%s (p=%0.2e)" % (motif.id, p), xlabel="Position") return motif.id, p else: return motif.id, 1.0 def parse_cutoff(motifs, cutoff, default=0.9): """ Provide either a file with one cutoff per motif or a single cutoff returns a hash with motif id as key and cutoff as value """ cutoffs = {} if os.path.isfile(str(cutoff)): for i,line in enumerate(open(cutoff)): if line != "Motif\tScore\tCutoff\n": try: motif,v,c = line.strip().split("\t") c = float(c) cutoffs[motif] = c except Exception as e: sys.stderr.write("Error parsing cutoff file, line {0}: {1}\n".format(e, i + 1)) sys.exit(1) else: for motif in motifs: cutoffs[motif.id] = float(cutoff) for motif in motifs: if not cutoffs.has_key(motif.id): sys.stderr.write("No cutoff found for {0}, using default {1}\n".format(motif.id, default)) cutoffs[motif.id] = default return cutoffs def _treesort(order, nodeorder, nodecounts, tree): # From the Pycluster library, Michiel de Hoon # Find the order of the nodes consistent with the hierarchical clustering # tree, taking into account the preferred order of nodes. nNodes = len(tree) nElements = nNodes + 1 neworder = np.zeros(nElements) clusterids = np.arange(nElements) for i in range(nNodes): i1 = tree[i].left i2 = tree[i].right if i1 < 0: order1 = nodeorder[-i1-1] count1 = nodecounts[-i1-1] else: order1 = order[i1] count1 = 1 if i2 < 0: order2 = nodeorder[-i2-1] count2 = nodecounts[-i2-1] else: order2 = order[i2] count2 = 1 # If order1 and order2 are equal, their order is determined # by the order in which they were clustered if i1 < i2: if order1 < order2: increase = count1 else: increase = count2 for j in range(nElements): clusterid = clusterids[j] if clusterid == i1 and order1 >= order2: neworder[j] += increase if clusterid == i2 and order1 < order2: neworder[j] += increase if clusterid == i1 or clusterid == i2: clusterids[j] = -i-1 else: if order1 <= order2: increase = count1 else: increase = count2 for j in range(nElements): clusterid = clusterids[j] if clusterid == i1 and order1 > order2: neworder[j] += increase if clusterid == i2 and order1 <= order2: neworder[j] += increase if clusterid == i1 or clusterid == i2: clusterids[j] = -i-1 return np.argsort(neworder) def number_of_seqs_in_file(fname): try: fa = Fasta(fname) return len(fa) except: pass try: bed = pybedtools.BedTool(fname) return len([x for x in bed]) except: pass sys.stderr.write("unknown filetype {}\n".format(fname)) sys.exit(1) def get_seqs_type(seqs): """ automagically determine input type the following types are detected: - Fasta object - FASTA file - list of regions - region file - BED file """ region_p = re.compile(r'^(.+):(\d+)-(\d+)$') if isinstance(seqs, Fasta): return "fasta" elif isinstance(seqs, list): if len(seqs) == 0: raise ValueError("empty list of sequences to scan") else: if region_p.search(seqs[0]): return "regions" else: raise ValueError("unknown region type") elif isinstance(seqs, str) or isinstance(seqs, unicode): if os.path.isfile(seqs): try: f = Fasta(seqs) return "fastafile" except: pass try: line = open(seqs).readline().strip() if region_p.search(line): return "regionfile" else: vals = line.split("\t") if len(vals) >= 3: int(vals[1]), int(vals[2]) return "bedfile" raise ValueError("unknown type") except: raise ValueError("unknown type") else: raise ValueError("no file found with name {}".format(seqs)) else: raise ValueError("unknown type {}".format(type(seqs).__name__)) def as_fasta(seqs, index_dir=None): ftype = get_seqs_type(seqs) if ftype == "fasta": return seqs elif ftype == "fastafile": return Fasta(seqs) else: if index_dir is None: raise ValueError("need index_dir / genome to convert to FASTA") tmpfa = NamedTemporaryFile() if ftype == "bedfile": track2fasta(index_dir, seqs, tmpfa.name) else: if ftype == "regionfile": seqs = [l.strip() for l in open(seqs).readlines()] tmpbed = NamedTemporaryFile() for seq in seqs: vals = re.split(r'[:-]', seq) tmpbed.write("{}\t{}\t{}\n".format(*vals)) tmpbed.flush() track2fasta(index_dir, tmpbed.name, tmpfa.name) return Fasta(tmpfa.name)
[ "simon.vanheeringen@gmail.com" ]
simon.vanheeringen@gmail.com
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/cicd_project/blog/models.py
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from django.db import models from django.db.models.fields import CharField class Booklist(models.Model): name = CharField(max_length=100, null=True) category = CharField(max_length=40, null=True) class Meta: db_table = 'bookList'
[ "soohyun527@gmail.com" ]
soohyun527@gmail.com
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/chainercv/visualizations/__init__.py
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from chainercv.visualizations.vis_bbox import vis_bbox # NOQA from chainercv.visualizations.vis_image import vis_image # NOQA from chainercv.visualizations.vis_point import vis_point # NOQA from chainercv.visualizations.vis_semantic_segmentation import vis_semantic_segmentation # NOQA
[ "yuyuniitani@gmail.com" ]
yuyuniitani@gmail.com
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/can-funds-be-transferred-b.py
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#!/usr/bin/env python3 import functools import itertools # # Use this function to write data to socket # # write_string_to_socket(connection, message) where connection is the socket object and message is string # # Use this function to read data from socket # # def read_string_from_socket(connection) where connection is the socket object # # All global declarations go here parents = None parent_probs = None # # This function is called only once before any client connection is accepted by the server. # # Read any global datasets or configurations here def init_server(): global parents, parent_probs print("Reading training set") f = open("training.txt") N = int(f.readline()) parents = [None] * (N + 1) parent_probs = [None] * (N + 1) for _ in range(N - 1): u, v, p = map(int, f.readline().split(",")) parents[v] = u parent_probs[v] = p / 100 # # This function is called everytime a new connection is accepted by the server. # # Service the client here def process_client_connection(connection): while True: # read message message = read_string_from_socket(connection).decode() print("Message received = ", message) if message == "END": result = message else: fields = message.split(",") a, b = map(int, fields[:2]) q1 = float(fields[2]) q = pow(10, q1) result = "YES" if compute_distance(a, b) > q else "NO" # write message write_string_to_socket(connection, result.encode()) if message == "END": break def compute_distance(a, b): path_a = find_path(a) path_b = find_path(b) while path_a and path_b and path_a[-1] == path_b[-1]: del path_a[-1] del path_b[-1] return functools.reduce(lambda x, y: x * y, map(lambda n: parent_probs[n], itertools.chain(path_a, path_b))) def find_path(n): path = [n] while parents[n]: path.append(parents[n]) n = parents[n] return path
[ "charles.wangkai@gmail.com" ]
charles.wangkai@gmail.com
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/notebooks/Computational Seismology/The Finite-Difference Method/fd_seismometer_solution.py
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[]
no_license
krischer/seismo_live
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2021-10-20T22:17:42.276096
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# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.4' # jupytext_version: 1.2.4 # kernelspec: # display_name: Python 3 # language: python # name: python3 # --- # <div style='background-image: url("../../share/images/header.svg") ; padding: 0px ; background-size: cover ; border-radius: 5px ; height: 250px'> # <div style="float: right ; margin: 50px ; padding: 20px ; background: rgba(255 , 255 , 255 , 0.7) ; width: 50% ; height: 150px"> # <div style="position: relative ; top: 50% ; transform: translatey(-50%)"> # <div style="font-size: xx-large ; font-weight: 900 ; color: rgba(0 , 0 , 0 , 0.8) ; line-height: 100%">Computational Seismology</div> # <div style="font-size: large ; padding-top: 20px ; color: rgba(0 , 0 , 0 , 0.5)">Finite Differences - Seismometer Equation</div> # </div> # </div> # </div> # <p style="width:20%;float:right;padding-left:50px"> # <img src=../../share/images/book.jpg> # <span style="font-size:smaller"> # </span> # </p> # # # --- # # This notebook is part of the supplementary material # to [Computational Seismology: A Practical Introduction](https://global.oup.com/academic/product/computational-seismology-9780198717416?cc=de&lang=en&#), # Oxford University Press, 2016. # # # ##### Authors: # * Ashim Rijal ([@ashimrijal](https://github.com/ashimrijal)) # * Heiner Igel ([@heinerigel](https://github.com/heinerigel)) # # This exercise covers the following aspects: # # * Solving seismometer equation with finite difference method # * Getting familiar with seismometer response function # --- # ## Basic Equations # # ** Please refer to the Exercise 4.19 from the book.** # # The seismometer equation is given by # $$ # \ddot{x} + 2\epsilon \dot{x} + \omega^2_0 x = - \ddot{u} # $$ # # Where, # # $ \epsilon $ is the damping parameter, # # $ \omega_0 $ is the eigenfrequency, # # $ \ddot{u}(t) $ is the ground motion by which the seismometer is excited, and # # $ x(t) $ is the motion of the seismometer mass. # # We replace the time derivative by centered finite-differentiation # $$ # \dot{x} \ \approx \ \frac{x (t + \mathrm{d}t) - x ( t- \mathrm{d}t)} {2\mathrm{d}t} # $$ # # $$ # \ddot{x} \ \approx \ \frac{x( t+ \mathrm{d}t)-2x(t) + x( t- \mathrm{d}t)} {\mathrm{d}t^2} # $$ # # Now, solving for $ x(t+\mathrm{d}t) $ the extrapolation scheme is # # $$ # x(t+\mathrm{d}t) = \frac{ - \ddot{u}(t) \mathrm{d}t^2 + (2-\omega^2_0 \mathrm{d}t^2) x(t) + (\epsilon \mathrm{d}t-1) x(t-\mathrm{d}t)} {(1+\epsilon \mathrm{d}t)} # $$ # # ### Exercise # # ** Part 1** # # While running the following cells frequency of forcing (the frequency of ground motion) and the damping parameter will be asked to enter. First try using undamped seismometer (i.e. h = 0) for some forcing frequency (eg. 0.1 Hz, 1 Hz, 2Hz, 3Hz, 4Hz, 5Hz, etc.) and interpret the results. # # ** Part 2** # # Now try frequency of forcing of your choice (eg. 1 HZ) and try to search for suitable damping parameter (h). # # **Message: Once you become familiar with all the codes below you can go to the Cell tab on the toolbar and click Run All.** # + {"code_folding": [0]} #Configuration step (Please run it before the simulation code!) import numpy as np import matplotlib # Show Plot in The Notebook matplotlib.use("nbagg") import matplotlib.pyplot as plt matplotlib.rcParams['figure.facecolor'] = 'w' # remove grey background # + {"code_folding": []} #Initialization of parameters f0 = 1. # eigenfrequency of seismometer (hertz) w = 2. * np.pi * f0 # in radians per second dt = .01 # time increment for numerical scheme isnap = 2 # snapshot frequency for visualization # Central frequency of forcing or ground motion (will be asked) fu0 = 1.0 # Uncomment for interactivity. # fu0 = float(input('Give frequency of forcing (e.g. f=1 Hz) : ')) # Damping parameter of seismometer (will be asked) h = 0.5 # Uncomment for interactivity. # h = float(input('Give damping parameter (e.g. h=0.5) : ')) # Initialize ground motion # Initialize parameters for ground motion p = 1. / fu0 # period nts = int(2. * p / dt) # time steps uii = np.zeros(nts) # ground motion t0 = p / dt # time (S) a = 4. / p # half-width (so called sigma) # we use derivative of a Gaussian as our ground motion for it in range(nts): t = (it - t0) * dt uii[it] = -2 * a * t * np.exp(-(a * t) ** 2) nt = int(round(5. * 1. / fu0 / dt)) # total number of time steps src = np.zeros(nt) # initialize an source array of zeros src[0:len(uii)] = uii # make derivative of gaussian as source # End initialization of ground motion # Initial conditions eps = h * w # damping factor x = np.zeros(nt) xnow = 0 xold = 0 x_vector = np.zeros(nt) # + {"code_folding": [33]} # Extrapolation scheme and the plots # Initialization of plots # lines1 will plot the seismometer response and lines2 for source function lines1 = plt.plot(np.dot((np.arange(1, nt+1)), dt), x_vector[0:nt] / np.max(np.abs(x[0:nt])), color = "red", lw = 1.5, label="Seismometer response") lines2 = plt.plot(np.zeros(nt), color = 'blue',lw = 1.5, label="Ground Acceleration") plt.title("At rest") plt.axis([0, nt*dt, -1, 1]) plt.xlabel("Time (s)") plt.ylabel("Displacement") plt.legend(loc="upper right") plt.ion() plt.show() # Begin extrapolation and update the plot # Extrapolation scheme (Centered finite-difference) for i in range(nt): if i == 0: xold = xnow xnew = (-src[i] * dt ** 2 + (2 - w ** 2 * dt ** 2) * xnow + (eps * dt - 1) * xold) / (1 + eps * dt) xold = xnow # for next loop present will be past xnow = xnew # for next step future will be present x[i] = xnow x_vector[i] = x[i] # Updating the plots if not i % isnap: for l in lines1: l.remove() del l for k in lines2: k.remove() del k lines1 = plt.plot(np.dot((np.arange (1, i+1)), dt), x_vector[0:i] / np.max(np.abs (x[0:nt])),color = "red",lw = 1.5, label="Seismometer response") lines2 = plt.plot(np.dot((np.arange (1, i+1)), dt), src[0:i] / np.max(src[0:nt]), color = 'blue',lw = 1.5, label="Ground Acceleration") plt.title("F0 = 1Hz, SRC = %.2f Hz, h = %.2f " % (fu0, h)) plt.gcf().canvas.draw() plt.ioff() plt.show() # + {"tags": ["solution"], "cell_type": "markdown"} # ## Solutions # **Part 1** # # Let us try frequency of forcing 1 Hz and damping parameter h = 0. Then we see that response of seismometer doesn't come to rest even after the ground motion comes to rest. # # ** Part 2** # # For low damping (h< 1) there exists a peak in the response function, underdamped case. If h=1, the seismometer comes to rest in the least possible time without overshooting, a case called critically damped where the response curve has no peak. The most common values used in seismometres are close to critical (eg. 0.707) in which seismometers perform optimally. For values greater than 1 (h> 1) the sensitivity of seismometer decreases, a case of overdamping.
[ "lion.krischer@gmail.com" ]
lion.krischer@gmail.com
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n = 0 a = "A" # 출발 b = "B" # 중간 c = "C" # 도착 def hanoi(n, a, b, c): if n == 1: print("{}번째 원반을 {}로 이동".format(n, c)) return hanoi(n - 1, a, c, b) print("{}번째 원반을 {}로 이동".format(n, c)) hanoi(n - 1, b, a, c) if __name__ == "__main__": hanoi(3, a, b, c)
[ "sug5806@gmail.com" ]
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/venv/lib/python3.6/site-packages/phonenumbers/data/region_SJ.py
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"""Auto-generated file, do not edit by hand. SJ metadata""" from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata PHONE_METADATA_SJ = PhoneMetadata(id='SJ', country_code=47, international_prefix='00', general_desc=PhoneNumberDesc(national_number_pattern='(?:0|(?:[4589]\\d|79)\\d\\d)\\d{4}', possible_length=(5, 8)), fixed_line=PhoneNumberDesc(national_number_pattern='79\\d{6}', example_number='79123456', possible_length=(8,)), mobile=PhoneNumberDesc(national_number_pattern='(?:4[015-8]|5[89]|9\\d)\\d{6}', example_number='41234567', possible_length=(8,)), toll_free=PhoneNumberDesc(national_number_pattern='80[01]\\d{5}', example_number='80012345', possible_length=(8,)), premium_rate=PhoneNumberDesc(national_number_pattern='82[09]\\d{5}', example_number='82012345', possible_length=(8,)), shared_cost=PhoneNumberDesc(national_number_pattern='810(?:0[0-6]|[2-8]\\d)\\d{3}', example_number='81021234', possible_length=(8,)), personal_number=PhoneNumberDesc(national_number_pattern='880\\d{5}', example_number='88012345', possible_length=(8,)), voip=PhoneNumberDesc(national_number_pattern='85[0-5]\\d{5}', example_number='85012345', possible_length=(8,)), uan=PhoneNumberDesc(national_number_pattern='(?:0\\d|81(?:0(?:0[7-9]|1\\d)|5\\d\\d))\\d{3}', example_number='01234', possible_length=(5, 8)), voicemail=PhoneNumberDesc(national_number_pattern='81[23]\\d{5}', example_number='81212345', possible_length=(8,)), leading_digits='79')
[ "whitebirdinbluesky1990@gmail.com" ]
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#a q1=int(input()) w1=list(map(int,input().split()))[:q1] for i in range(0,q1): print(w1[i],i)
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#!/usr/bin/env python # # (c) Copyright RIFT.io, 2013-2016, All Rights Reserved # import subprocess import re import os import sys macs = dict() cmds='''terminal length 0 show mac-address-table q ''' re1 = re.compile('\s*[0-9]+\s+([0-9a-f:]+)\s+Dynamic\s+Te\s+0/([0-9]+)\s+Active') devnull = open(os.devnull, "w") DEBUG = 'DEBUG' in sys.argv for swnum in range(3): sw = "f10-grunt%02d" % swnum p = subprocess.Popen(["ssh", "-o", "StrictHostKeyChecking=no", "admin@%s" % sw ], stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=devnull ) (stdout, stderr) = p.communicate(cmds) # eliminate any ports that have more than 2 mac addresses counts=[0 for m in range(64)] for line in stdout.split('\n'): m = re1.match(line) if m is not None: counts[int(m.group(2))] += 1 else: if DEBUG: print line for line in stdout.split('\n'): m = re1.match(line) if m is not None: port = int(m.group(2)) if counts[port] < 3: macs[m.group(1)] = sw else: if DEBUG: print 'skipping %s' % port for mac, sw in macs.iteritems(): print "%s %s" % ( mac, sw)
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print(" EJERCICIOS CON DECISIONES LÓGICAS TALLER 1") print("1. Elabore un algoritmo que permita averiguar cuál es el nombre del mayor de 2 hermanos no gemelos. Como datos de entrada se tiene el nombre y la edad de las 2 personas.") nombre1 = input("Nombre hermano 1: ") edad1 = int(input("Ingrese edad hermano 1: ")) nombre2 = input("Nombre hermano 2: ") edad2 = int(input("Ingrese edad hermano 2: ")) nombreMayor = nombre1 if edad1 < edad2: nombreMayor = nombre2 print(f"El hermano mayor es: {nombreMayor}") print("---------------------------") print("2. Elaborar un algoritmo que muestre un mensaje según la edad ingresada; niño (menor de 10 años), preadolescente (mayor o igual a 10años y menor o igual a 14 años), un adolescente (mayor o igual a 15 años y menor o igual a 18 años), adulto (mayor o igual a 19 años y menor o igual a 50 años), adulto mayor (mayor de 50 años).") edad = int(input("Ingrese edad: ")) categoria = 'niño' if edad >= 10 and edad < 15: categoria = 'preadolescente' elif edad >= 15 and edad < 19: categoria = 'adolescente' elif edad >= 19 and edad < 50: categoria = 'adulto' elif edad >= 50: categoria = 'adulto mayor' print(f"La persona es: {categoria}") print("---------------------------") print(" 3. Elabore un algoritmo que lea el nombre, el salario bruto, las deducciones y las bonificaciones de dos trabajadores, e imprima (escriba un mensaje) el nombre del que más salario neto tiene.") nombre1 = input("Nombre empleado 1: ") salario1 = float(input("Ingrese salario empleado 1: ")) deducciones1 = float(input("Ingrese deducciones empleado 1: ")) bonificaciones1 = float(input("Ingrese bonificaciones empleado 1: ")) salarioNeto1 = salario1 - deducciones1 + bonificaciones1 nombre2 = input("Nombre empleado 2: ") salario2 = float(input("Ingrese salario empleado 2: ")) deducciones2 = float(input("Ingrese deducciones empleado 2: ")) bonificaciones2 = float(input("Ingrese bonificaciones empleado 2: ")) salarioNeto2 = salario2 - deducciones2 + bonificaciones2 nombreMayor = nombre1 if salarioNeto1 < salarioNeto2: nombreMayor = nombre2 elif salarioNeto1 == salarioNeto2: nombreMayor = 'Iguales' print(f"El empleado con mejor salario es: {nombreMayor}") print("---------------------------") print(" 4. Crear un algoritmo que le permita al usuario ingresar los datos de dos buses así: Placa, El número de pasajeros transportado y el valor del pasaje, y el computador le muestre la placa del bus que más dinero recogió.") placa1 = input("Placa 1: ") numeroPasajeros1 = int(input("Ingrese numero pasajeros bus 1: ")) valorPasaje1 = int(input("Ingrese valor pasaje bus 1: ")) recaudoBus1 = numeroPasajeros1 * valorPasaje1 placa2 = input("Placa 2: ") numeroPasajeros2 = int(input("Ingrese numero pasajeros bus 2: ")) valorPasaje2 = int(input("Ingrese valor pasaje bus 2: ")) recaudoBus2 = numeroPasajeros2 * valorPasaje2 placaMayor = placa1 if recaudoBus1 < recaudoBus2: placaMayor = placa2 elif recaudoBus1 == recaudoBus2: placaMayor = 'Iguales' print(f"El bus con mayor recaudo es: {placaMayor}") print("---------------------------") print(" 5. Elaborar un algoritmo donde el usuario ingrese la placa de un bus, el número de pasajeros transportados y la ruta donde prestó el servicio (A o B) el computador le debe mostrar el dinero que recolectó sabiendo que en la ruta A el pasaje es a $1.200 y en la B a $1.000.") placa = input("Placa: ") numeroPasajeros = int(input("Ingrese numero pasajeros: ")) ruta = input("Ingrese ruta (A o B): ") if ruta == 'A': valorPasaje = 1200 else: valorPasaje = 1000 recaudoBus = numeroPasajeros * valorPasaje print(f"Valor recaudo : ${recaudoBus}") print("---------------------------") print(" 6. Crear un algoritmo que le permita al usuario ingresar el tipo de trabajador (FIJO o TEMPORAL) y con base en esto pueda imprimir el nombre y el salario neto, sabiendo que si es FIJO debe leer el nombre, el número de horas trabajadas, el salario básico hora, el total de deducciones y el total de bonificaciones y si es TEMPORAL solo debe leer el nombre y el número de horas trabajadas; estos trabajadores tienen un salario básico hora fijo de $6.000 y no tienen deducciones ni bonificaciones.") tipoTrabajador = input("ingresar el tipo de trabajador (FIJO o TEMPORAL): ") while tipoTrabajador != 'FIJO' or tipoTrabajador != 'TEMPORAL': tipoTrabajador = input("ingresar el tipo de trabajador (FIJO o TEMPORAL): ") tipoTrabajador = tipoTrabajador.upper() if tipoTrabajador == 'FIJO': nombre = input("Nombre empleado : ") horasTrabajadas = int(input("Ingrese cantidad de horas trabajadas : ")) salarioBasicoPorHora = float(input("Ingrese salario basico por hora : $")) deducciones = float(input("Ingrese deducciones: $")) bonificaciones = float(input("Ingrese bonificaciones empleado : $")) salarioNeto = (horasTrabajadas*salarioBasicoPorHora)-deducciones+bonificaciones else: nombre = input("Nombre empleado : ") horasTrabajadas = int(input("Ingrese cantidad de horas trabajadas : ")) salarioBasicoPorHora = 6000 salarioNeto = (horasTrabajadas*salarioBasicoPorHora) print(f"Salario Neto : ${salarioNeto}") print("---------------------------") print(" 7. Elaborar Un algoritmo que le permita al usuario leer 3 número diferentes entre sí y el computador le imprima el mayor de ellos.") numero1 = int(input("Ingrese numero 1: ")) numero2 = int(input("Ingrese numero 1: ")) numero3 = int(input("Ingrese numero 1: ")) numeroMayor = numero1 if numero2 > numero1 and numero2 > numero3: numeroMayor = numero2 elif numero3 > numero1 and numero3 > numero2: numeroMayor = numero3 print(f"Numero mayor: {numeroMayor}") print("---------------------------")
[ "david_ec10@hotmail.com" ]
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# Copyright (c) 2010 Witchspace <witchspace81@gmail.com> # # 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. """ Utilities for reading bitcoin configuration files. """ import os def read_config_file(filename): """ Read a simple ``'='``-delimited config file. Raises :const:`IOError` if unable to open file, or :const:`ValueError` if an parse error occurs. """ f = open(filename) try: cfg = {} for line in f: line = line.strip() if line and not line.startswith("#"): try: (key, value) = line.split('=', 1) cfg[key] = value except ValueError: pass # Happens when line has no '=', ignore finally: f.close() return cfg def read_default_config(filename=None): """ Read bitcoin default configuration from the current user's home directory. Arguments: - `filename`: Path to a configuration file in a non-standard location (optional) """ if filename is None: filename = os.path.expanduser("~/.memorycoin/memorycoin.conf") elif filename.startswith("~"): filename = os.path.expanduser(filename) try: return read_config_file(filename) except (IOError, ValueError): pass # Cannot read config file, ignore
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mail@emreyilmaz.me
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/ex8.py
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[]
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refs/heads/master
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class P: a = 10 def __init__(self): self.b = 20 class C(P): c = 30 def __init__(self): super().__init__() self.d = 40 obj = C() print(obj.a,obj.d,obj.b)
[ "shaukhk01@gmail.com" ]
shaukhk01@gmail.com
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/accounts/api/views.py
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[]
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Dimas4/Blog
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refs/heads/master
2021-07-22T00:31:59.491338
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from django.contrib.auth.models import User from rest_framework.authtoken.models import Token from rest_framework.response import Response from rest_framework.views import APIView from .serializers import UserCreateSerializer class Register(APIView): def post(self, request, *args, **kwargs): serializer = UserCreateSerializer(data=request.data) if serializer.is_valid(): username = serializer.data.get('username') email = serializer.data.get('email') password = serializer.data.get('password') user = User.objects.create_user(username, email, password) token = Token.objects.create(user=user) context = { 'key': token.key } return Response(context) return Response(data=serializer.errors)
[ "vaniashatuhomail@mail.ru" ]
vaniashatuhomail@mail.ru
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/Data_structures_and_Algorithms/arrays/four_numbers_sum_k.py
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BJV-git/Data_structures_and_Algorithms
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2020-04-23T22:32:22.525542
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# logic: O(n3) def four_sum_k(nums,k): nums.sort() lnums=len(nums) for i in range(lnums-3): for j in range(i+1, lnums-2): l=j+1 r = lnums-1 while (l<r): summ = nums[i]+nums[j] + nums[l] + nums[r] if summ==k: l+=1 r-=1 elif summ < k: l+=1 else: r-=1
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/openstack_dashboard/dashboards/admin/projects/tables.py
643ac828a0d5f95e54ed87ee06949a210829cd91
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cosgrid001/cosgrid_hh
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2020-01-23T21:03:04.242315
2016-12-11T05:39:33
2016-12-11T05:39:33
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# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from django.core.exceptions import ValidationError # noqa from django.core.urlresolvers import reverse from django.utils.http import urlencode from django.utils.translation import ugettext_lazy as _ from horizon import exceptions from horizon import forms from horizon import tables from keystoneclient.exceptions import Conflict # noqa from openstack_dashboard import api from openstack_dashboard.api import keystone class ViewMembersLink(tables.LinkAction): name = "users" verbose_name = _("Modify Users") url = "horizon:admin:projects:update" classes = ("ajax-modal", "btn-edit") # policy_rules = (("identity", "identity:list_users"), # ("identity", "identity:list_roles")) def get_link_url(self, project): step = 'update_members' base_url = reverse(self.url, args=[project.id]) param = urlencode({"step": step}) return "?".join([base_url, param]) class ViewGroupsLink(tables.LinkAction): name = "groups" verbose_name = _("Modify Groups") url = "horizon:admin:projects:update" classes = ("ajax-modal", "btn-edit") def allowed(self, request, project): return keystone.VERSIONS.active >= 3 def get_link_url(self, project): step = 'update_group_members' base_url = reverse(self.url, args=[project.id]) param = urlencode({"step": step}) return "?".join([base_url, param]) class UsageLink(tables.LinkAction): name = "usage" verbose_name = _("View Usage") url = "horizon:admin:projects:usage" classes = ("btn-stats",) # policy_rules = (("compute", "compute_extension:simple_tenant_usage:show"),) class CreateProject(tables.LinkAction): name = "create" verbose_name = _("Create Project") url = "horizon:admin:projects:create" classes = ("btn-launch", "ajax-modal",) # policy_rules = (('identity', 'identity:create_project'),) def allowed(self, request, project): return api.keystone.keystone_can_edit_project() class UpdateProject(tables.LinkAction): name = "update" verbose_name = _("Edit Project") url = "horizon:admin:projects:update" classes = ("ajax-modal", "btn-edit") # policy_rules = (('identity', 'identity:update_project'),) def allowed(self, request, project): return api.keystone.keystone_can_edit_project() class ModifyQuotas(tables.LinkAction): name = "quotas" verbose_name = _("Modify Quotas") url = "horizon:admin:projects:update" classes = ("ajax-modal", "btn-edit") # policy_rules = (('compute', "compute_extension:quotas:update"),) def get_link_url(self, project): step = 'update_quotas' base_url = reverse(self.url, args=[project.id]) param = urlencode({"step": step}) return "?".join([base_url, param]) class DeleteTenantsAction(tables.DeleteAction): data_type_singular = _("Project") data_type_plural = _("Projects") # policy_rules = (("identity", "identity:delete_project"),) def allowed(self, request, project): return api.keystone.keystone_can_edit_project() def delete(self, request, obj_id): api.keystone.tenant_delete(request, obj_id) class TenantFilterAction(tables.FilterAction): def filter(self, table, tenants, filter_string): """Really naive case-insensitive search.""" # FIXME(gabriel): This should be smarter. Written for demo purposes. q = filter_string.lower() def comp(tenant): if q in tenant.name.lower(): return True return False return filter(comp, tenants) class UpdateRow(tables.Row): ajax = True def get_data(self, request, project_id): project_info = api.keystone.tenant_get(request, project_id, admin=True) return project_info class UpdateCell(tables.UpdateAction): def allowed(self, request, project, cell): return api.keystone.keystone_can_edit_project() def update_cell(self, request, datum, project_id, cell_name, new_cell_value): # inline update project info try: project_obj = datum # updating changed value by new value setattr(project_obj, cell_name, new_cell_value) api.keystone.tenant_update( request, project_id, name=project_obj.name, description=project_obj.description, enabled=project_obj.enabled) except Conflict: # Returning a nice error message about name conflict. The message # from exception is not that clear for the users. message = _("This name is already taken.") raise ValidationError(message) except Exception: exceptions.handle(request, ignore=True) return False return True class TenantsTable(tables.DataTable): name = tables.Column('name', verbose_name=_('Name'), form_field=forms.CharField(required=True, max_length=64), update_action=UpdateCell) description = tables.Column(lambda obj: getattr(obj, 'description', None), verbose_name=_('Description'), form_field=forms.CharField( widget=forms.Textarea(), required=False), update_action=UpdateCell) id = tables.Column('id', verbose_name=_('Project ID')) enabled = tables.Column('enabled', verbose_name=_('Enabled'), status=True, form_field=forms.BooleanField( label=_('Enabled'), required=False), update_action=UpdateCell) class Meta: name = "tenants" verbose_name = _("Projects") row_class = UpdateRow row_actions = (ViewMembersLink, ViewGroupsLink, UpdateProject, UsageLink, ModifyQuotas, DeleteTenantsAction) table_actions = (TenantFilterAction, CreateProject, DeleteTenantsAction) pagination_param = "tenant_marker"
[ "jayaprakash.r@cloudenablers.com" ]
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/erp_customization/config/desktop.py
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from frappe import _ def get_data(): return [ { "module_name": "ERP Customization", "color": "Blue", "icon": "Bhavesh", "type": "module", "label": _("ERP Customization") } ]
[ "erpnextdeveloper1@gmail.com" ]
erpnextdeveloper1@gmail.com
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/musette/forms.py
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[]
no_license
tawanda/django-musette
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2020-04-05T23:44:49.635378
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# encoding:utf-8 from django import forms from django.forms.widgets import ClearableFileInput, CheckboxInput from django.utils.html import conditional_escape from django.utils.safestring import mark_safe from .utils import basename from .models import Topic, Comment from .widgets import TextareaWidget class FormAdminTopic(forms.ModelForm): ''' Form for topic cadmin ''' class Meta: model = Topic exclude = ('slug', 'id_attachment') widgets = { 'description': TextareaWidget, } class FormAddTopic(forms.ModelForm): ''' Form for create one new topic ''' class Meta: model = Topic exclude = ( 'forum', "user", "slug", "date", "id_attachment", "moderate", "is_top") widgets = { 'description': TextareaWidget, } def __init__(self, *args, **kwargs): super(FormAddTopic, self).__init__(*args, **kwargs) class_css = 'form-control' for key in self.fields: if key != "attachment": self.fields[key].required = True self.fields[key].widget.attrs['ng-model'] = key self.fields[key].widget.attrs['class'] = class_css self.fields[key].widget.attrs['required'] = 'required' else: self.fields[key].required = False class CustomClearableFileInput(ClearableFileInput): ''' Changes order fields ''' template_with_initial = ( '%(initial_text)s: <a href="%(initial_url)s">%(initial)s</a> ' '%(clear_template)s<br />%(input_text)s: %(input)s' ) template_with_clear = "" template_with_clear = '<br> <label for="%(clear_checkbox_id)s"> ' template_with_clear += ' %(clear_checkbox_label)s</label> %(clear)s' def render(self, name, value, attrs=None): substitutions = { 'initial_text': self.initial_text, 'input_text': self.input_text, 'clear_template': '', 'clear_checkbox_label': self.clear_checkbox_label, } template = '%(input)s' substitutions['input'] = super( ClearableFileInput, self).render(name, value, attrs) if self.is_initial(value): template = self.template_with_initial substitutions.update(self.get_template_substitution_values(value)) values = self.get_template_substitution_values(value) initial = basename(values['initial']) if not self.is_required: checkbox_name = self.clear_checkbox_name(name) checkbox_id = self.clear_checkbox_id(checkbox_name) substitutions['clear_checkbox_name'] = conditional_escape( checkbox_name) substitutions['clear_checkbox_id'] = conditional_escape( checkbox_id) substitutions['clear'] = CheckboxInput().render( checkbox_name, False, attrs={'id': checkbox_id}) clear_template = self.template_with_clear % substitutions substitutions['clear_template'] = clear_template substitutions['initial'] = conditional_escape(initial) return mark_safe(template % substitutions) class FormEditTopic(forms.ModelForm): ''' Form for edit one new topic ''' class Meta: model = Topic exclude = ( 'forum', "user", "slug", "date", "id_attachment", "moderate", "is_top") widgets = { 'description': TextareaWidget, 'attachment': CustomClearableFileInput, } def __init__(self, *args, **kwargs): super(FormEditTopic, self).__init__(*args, **kwargs) class_css = 'form-control' for key in self.fields: if key != "attachment": self.fields[key].required = True self.fields[key].widget.attrs['ng-model'] = key if key == 'title': ng_init = key + "=" + "'" + \ str(kwargs['instance'].title) + "'" self.fields[key].widget.attrs['ng-init'] = ng_init elif key == 'description': ng_init = key + "=" + "'" + \ str(kwargs['instance'].description) + "'" self.fields[key].widget.attrs['ng-init'] = ng_init self.fields[key].widget.attrs['class'] = class_css self.fields[key].widget.attrs['required'] = 'required' else: self.fields[key].required = False class FormAddComment(forms.ModelForm): ''' Form for add comment to topic ''' class Meta: model = Comment fields = ['description'] widgets = { 'description': TextareaWidget, } def __init__(self, *args, **kwargs): super(FormAddComment, self).__init__(*args, **kwargs) for key in self.fields: if key == "description": self.fields[key].required = True self.fields[key].widget.attrs['style'] = "width: 100%" self.fields[key].widget.attrs['ng-model'] = key self.fields[key].widget.attrs['required'] = 'required'
[ "martinpeveri@gmail.com" ]
martinpeveri@gmail.com
b65e882d1259f051cce3a321b1d581c616225de0
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/kblocks/experiments/__init__.py
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permissive
jackd/kblocks
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2021-07-05T22:33:21.219466
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from .callbacks import ExperimentCallback from .core import Experiment, run from .status import Status __all__ = [ "Experiment", "ExperimentCallback", "Status", "run", ]
[ "thedomjack@gmail.com" ]
thedomjack@gmail.com
a96f787beaee5952807655d5ab639a64e33e983c
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/b3/parsers/moh.py
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[]
no_license
ptitbigorneau/BigBrotherBot-For-UrT43
3c27a0e147be4946ea672c4fad254e5334e7af7a
7606156bb704a781d21a8a9b95119b995ea2db50
refs/heads/master
2021-01-10T23:54:25.277248
2019-05-16T06:19:19
2019-05-16T06:19:19
70,788,589
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# -*- coding: utf-8 -*- # ################################################################### # # # # BigBrotherBot(B3) (www.bigbrotherbot.net) # # Copyright (C) 2005 Michael "ThorN" Thornton # # # # This program is free software; you can redistribute it and/or # # modify it under the terms of the GNU General Public License # # as published by the Free Software Foundation; either version 2 # # of the License, or (at your option) any later version. # # # # This program is distributed in the hope that it will be useful, # # but WITHOUT ANY WARRANTY; without even the implied warranty of # # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # # GNU General Public License for more details. # # # # You should have received a copy of the GNU General Public License # # along with this program; if not, write to the Free Software # # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA # # 02110-1301, USA. # # # # ################################################################### # __author__ = 'Bakes, Courgette' __version__ = '1.9' import time import b3.clients import b3.events import b3.functions from b3.parsers.frostbite.abstractParser import AbstractParser from b3.parsers.frostbite.util import PlayerInfoBlock SAY_LINE_MAX_LENGTH = 100 class MohParser(AbstractParser): gameName = 'moh' _gameServerVars = ( 'serverName', # vars.serverName [name] Set the server name 'gamePassword', # vars.gamePassword [password] Set the game password for the server 'punkBuster', # vars.punkBuster [enabled] Set if the server will use PunkBuster or not 'hardCore', # vars.hardCore[enabled] Set hardcore mode 'ranked', # vars.ranked [enabled] Set ranked or not 'skillLimit', # vars.skillLimit [lower, upper] Set the skill limits allowed on to the server 'noUnlocks', # vars.noUnlocks [enabled] Set if unlocks should be disabled 'noAmmoPickups', # vars.noAmmoPickups [enabled] Set if pickups should be disabled 'realisticHealth', # vars.realisticHealth [enabled] Set if health should be realistic 'supportAction', # vars.supportAction [enabled] Set if support action should be enabled 'preRoundLimit', # vars.preRoundLimit [upper, lower] Set pre round limits. 'roundStartTimerPlayersLimit', # vars.roundStartTimerPlayersLimit [limit] 'roundStartTimerDelay', # vars.roundStartTimerDelay [delay] If set to other than -1, this value overrides # the round start delay set on the individual levels. 'tdmScoreCounterMaxScore', # vars.tdmScoreCounterMaxScore [score] If set to other than -1, this value overrides # the score needed to win a round of Team Assault, Sector Control or Hot Zone. 'clanTeams', # vars.clanTeams [enabled] Set if clan teams should be used 'friendlyFire', # vars.friendlyFire [enabled] Set if the server should allow team damage 'currentPlayerLimit', # vars.currentPlayerLimit Retrieve the current maximum number of players 'maxPlayerLimit', # vars.maxPlayerLimit Retrieve the server-enforced maximum number of players 'playerLimit', # vars.playerLimit [nr of players] Set desired maximum number of players 'bannerUrl', # vars.bannerUrl [url] Set banner url 'serverDescription', # vars.serverDescription [description] Set server description 'noCrosshairs', # vars.noCrosshairs [enabled] Set if crosshairs for all weapons is hidden 'noSpotting', # vars.noSpotting [enabled] Set if spotted targets are disabled in the 3d-world 'teamKillCountForKick', # vars.teamKillCountForKick [count] Set number of teamkills allowed during a round 'teamKillValueForKick', # vars.teamKillValueForKick [count] Set max kill-value allowed for a player before # he/she is kicked 'teamKillValueIncrease', # vars.teamKillValueIncrease [count] Set kill-value increase for a teamkill 'teamKillValueDecreasePerSecond', # vars.teamKillValueDecreasePerSecond [count] Set kill-value decrease per second 'idleTimeout', # vars.idleTimeout [time] Set idle timeout vars.profanityFilter [enabled] Set if profanity # filter is enabled ) #################################################################################################################### # # # PARSER INITIALIZATION # # # #################################################################################################################### def startup(self): """ Called after the parser is created before run(). """ AbstractParser.startup(self) self.clients.newClient('Server', guid='Server', name='Server', hide=True, pbid='Server', team=b3.TEAM_UNKNOWN) def pluginsStarted(self): """ Called after the parser loaded and started all plugins. Overwrite this in parsers to take actions once plugins are ready """ self.info('Connecting all players...') plist = self.getPlayerList() for cid, p in plist.iteritems(): client = self.clients.getByCID(cid) if not client: name = p['name'] if 'clanTag' in p and len(p['clanTag']) > 0: name = "[" + p['clanTag'] + "] " + p['name'] self.debug('Client %s found on the server' % cid) client = self.clients.newClient(cid, guid=p['guid'], name=name, team=p['teamId'], data=p) self.queueEvent(self.getEvent('EVT_CLIENT_JOIN', p, client)) #################################################################################################################### # # # OTHER METHODS # # # #################################################################################################################### def checkVersion(self): version = self.output.write('version') self.info('server version: %s' % version) if version[0] != 'MOH': raise Exception("the moh parser can only work with Medal of Honor") def getClient(self, cid, _guid=None): """ Get a connected client from storage or create it B3 CID <--> MoH character name B3 GUID <--> MoH EA_guid """ # try to get the client from the storage of already authed clients client = self.clients.getByCID(cid) if not client: if cid == 'Server': return self.clients.newClient('Server', guid='Server', name='Server', hide=True, pbid='Server', team=b3.TEAM_UNKNOWN) # must be the first time we see this client words = self.write(('admin.listPlayers', 'player', cid)) pib = PlayerInfoBlock(words) if len(pib) == 0: self.debug('No such client found') return None p = pib[0] cid = p['name'] name = p['name'] # Let's see if we have a guid, either from the PlayerInfoBlock, # or passed to us by OnPlayerAuthenticated() if p['guid']: guid = p['guid'] elif _guid: guid = _guid else: # If we still don't have a guid, we cannot create a newclient without the guid! self.debug('No guid for %s: waiting for next event' %name) return None if 'clanTag' in p and len(p['clanTag']) > 0: name = "[" + p['clanTag'] + "] " + p['name'] client = self.clients.newClient(cid, guid=guid, name=name, team=self.getTeam(p['teamId']), teamId=int(p['teamId']), data=p) self.queueEvent(self.getEvent('EVT_CLIENT_JOIN', p, client)) return client def getHardName(self, mapname): """ Change real name to level name. """ mapname = mapname.lower() if mapname.startswith('mazar-i-sharif airfield'): return 'levels/mp_01' elif mapname.startswith('bagram hanger'): return 'levels/mp_01_elimination' elif mapname.startswith('shah-i-knot mountains'): return 'levels/mp_02' elif mapname.startswith('hindu kush pass'): return 'levels/mp_02_koth' elif mapname.startswith('khyber caves'): return 'levels/mp_03' #return 'levels/mp_03_elimination' elif mapname.startswith('helmand valley'): return 'levels/mp_04' elif mapname.startswith('helmand river hill'): return 'levels/mp_04_koth' elif mapname.startswith('kandahar marketplace'): return 'levels/mp_05' elif mapname.startswith('diwagal camp'): return 'levels/mp_06' #return 'mp_06_elimination' elif mapname.startswith('korengal outpost'): return 'levels/mp_07_koth' elif mapname.startswith('kunar base'): return 'levels/mp_08' elif mapname.startswith('kabul city ruins'): return 'levels/mp_09' #return 'levels/mp_09_elimination' elif mapname.startswith('garmzir town'): return 'levels/mp_10' else: self.warning('unknown level name : \'%s\' : please make sure you have entered a valid mapname' % mapname) return mapname def getEasyName(self, mapname): """ Change levelname to real name. """ if mapname.startswith('levels/mp_01_elimination'): return 'Bagram Hanger' elif mapname.startswith('levels/mp_01'): return 'Mazar-i-Sharif Airfield' elif mapname.startswith('levels/mp_02_koth'): return 'Hindu Kush Pass' elif mapname.startswith('levels/mp_02'): return 'Shah-i-Knot Mountains' elif mapname.startswith('levels/mp_03'): return 'Khyber Caves' elif mapname.startswith('levels/mp_04_koth'): return 'Helmand River Hill' elif mapname.startswith('levels/mp_04'): return 'Helmand Valley' elif mapname.startswith('levels/mp_05'): return 'Kandahar Marketplace' elif mapname.startswith('levels/mp_06'): return 'Diwagal Camp' elif mapname.startswith('levels/mp_07_koth'): return 'Korengal Outpost' elif mapname.startswith('levels/mp_08'): return 'Kunar Base' elif mapname.startswith('levels/mp_09'): return 'Kabul City Ruins' elif mapname.startswith('levels/mp_10'): return 'Garmzir Town' else: self.warning('unknown level name : \'%s\' : please report this on B3 forums' % mapname) return mapname def getServerVars(self): """ Update the game property from server fresh data. """ try: self.game.serverName = self.getCvar('serverName').getBoolean() except: pass try: self.game.gamePassword = self.getCvar('gamePassword').getBoolean() except: pass try: self.game.punkBuster = self.getCvar('punkBuster').getBoolean() except: pass try: self.game.hardCore = self.getCvar('hardCore').getBoolean() except: pass try: self.game.ranked = self.getCvar('ranked').getBoolean() except: pass try: self.game.skillLimit = self.getCvar('skillLimit').getBoolean() except: pass try: self.game.noUnlocks = self.getCvar('noUnlocks').getBoolean() except: pass try: self.game.noAmmoPickups = self.getCvar('noAmmoPickups').getBoolean() except: pass try: self.game.realisticHealth = self.getCvar('realisticHealth').getBoolean() except: pass try: self.game.supportAction = self.getCvar('supportAction').getBoolean() except: pass try: self.game.preRoundLimit = self.getCvar('preRoundLimit').getBoolean() except: pass try: self.game.roundStartTimerPlayersLimit = self.getCvar('roundStartTimerPlayersLimit').getBoolean() except: pass try: self.game.roundStartTimerDelay = self.getCvar('roundStartTimerDelay').getBoolean() except: pass try: self.game.tdmScoreCounterMaxScore = self.getCvar('tdmScoreCounterMaxScore').getBoolean() except: pass try: self.game.clanTeams = self.getCvar('clanTeams').getBoolean() except: pass try: self.game.friendlyFire = self.getCvar('friendlyFire').getBoolean() except: pass try: self.game.currentPlayerLimit = self.getCvar('currentPlayerLimit').getBoolean() except: pass try: self.game.maxPlayerLimit = self.getCvar('maxPlayerLimit').getBoolean() except: pass try: self.game.playerLimit = self.getCvar('playerLimit').getBoolean() except: pass try: self.game.bannerUrl = self.getCvar('bannerUrl').getBoolean() except: pass try: self.game.serverDescription = self.getCvar('serverDescription').getBoolean() except: pass try: self.game.noCrosshair = self.getCvar('noCrosshair').getBoolean() except: pass try: self.game.noSpotting = self.getCvar('noSpotting').getBoolean() except: pass try: self.game.teamKillCountForKick = self.getCvar('teamKillCountForKick').getBoolean() except: pass try: self.game.teamKillValueForKick = self.getCvar('teamKillValueForKick').getBoolean() except: pass try: self.game.teamKillValueIncrease = self.getCvar('teamKillValueIncrease').getBoolean() except: pass try: self.game.teamKillValueDecreasePerSecond = self.getCvar('teamKillValueDecreasePerSecond').getBoolean() except: pass try: self.game.idleTimeout = self.getCvar('idleTimeout').getBoolean() except: pass def getTeam(self, team): """ Convert MOH team numbers to B3 team numbers. """ team = int(team) if team == 1: return b3.TEAM_RED elif team == 2: return b3.TEAM_BLUE elif team == 3: return b3.TEAM_SPEC else: return b3.TEAM_UNKNOWN #################################################################################################################### # # # EVENT HANDLERS # # # #################################################################################################################### def OnPlayerSpawn(self, action, data): """ player.onSpawn <soldier name: string> <kit: string> <weapon: string> <specializations: 3 x string> """ if len(data) < 2: return None spawner = self.getClient(data[0]) kit = data[1] weapon = data[2] spec1 = data[3] spec2 = data[4] spec3 = data[5] return self.getEvent('EVT_CLIENT_SPAWN', (kit, weapon, spec1, spec2, spec3), spawner) def OnPlayerTeamchange(self, action, data): """ player.onTeamChange <soldier name: player name> <team: Team ID> Effect: Player might have changed team """ #['player.onTeamChange', 'Dalich', '2'] client = self.getClient(data[0]) if client: client.team = self.getTeam(data[1]) # .team setter will send team change event client.teamId = int(data[1]) #################################################################################################################### # # # B3 PARSER INTERFACE IMPLEMENTATION # # # #################################################################################################################### def tempban(self, client, reason='', duration=2, admin=None, silent=False, *kwargs): """ Tempban a client. :param client: The client to tempban :param reason: The reason for this tempban :param duration: The duration of the tempban :param admin: The admin who performed the tempban :param silent: Whether or not to announce this tempban """ duration = b3.functions.time2minutes(duration) if isinstance(client, str): self.write(self.getCommand('kick', cid=client, reason=reason[:80])) return elif admin: banduration = b3.functions.minutesStr(duration) variables = self.getMessageVariables(client=client, reason=reason, admin=admin, banduration=banduration) fullreason = self.getMessage('temp_banned_by', variables) else: banduration = b3.functions.minutesStr(duration) variables = self.getMessageVariables(client=client, reason=reason, banduration=banduration) fullreason = self.getMessage('temp_banned', variables) fullreason = self.stripColors(fullreason) reason = self.stripColors(reason) if self.PunkBuster: # punkbuster acts odd if you ban for more than a day # tempban for a day here and let b3 re-ban if the player # comes back if duration > 1440: duration = 1440 self.PunkBuster.kick(client, duration, reason) self.write(('banList.list',)) self.write(self.getCommand('tempban', guid=client.guid, duration=duration*60, reason=reason[:80])) self.write(('banList.list',)) ## also kick as the MoH server seems not to enforce all bans correctly self.write(self.getCommand('kick', cid=client.cid, reason=reason[:80])) if not silent and fullreason != '': self.say(fullreason) self.queueEvent(self.getEvent('EVT_CLIENT_BAN_TEMP', {'reason': reason, 'duration': duration, 'admin': admin} , client)) def ban(self, client, reason='', admin=None, silent=False, *kwargs): """ Ban a given client. :param client: The client to ban :param reason: The reason for this ban :param admin: The admin who performed the ban :param silent: Whether or not to announce this ban """ self.debug('BAN : client: %s, reason: %s', client, reason) if isinstance(client, b3.clients.Client): self.write(self.getCommand('ban', guid=client.guid, reason=reason[:80])) try: self.write(self.getCommand('kick', cid=client.cid, reason=reason[:80])) except: pass return if admin: variables = self.getMessageVariables(client=client, reason=reason, admin=admin) reason = self.getMessage('banned_by', variables) else: variables = self.getMessageVariables(client=client, reason=reason) reason = self.getMessage('banned', variables) reason = self.stripColors(reason) if client.cid is None: # ban by ip, this happens when we !permban @xx a player that is not connected self.debug('EFFECTIVE BAN : %s', self.getCommand('banByIp', ip=client.ip, reason=reason[:80])) self.write(self.getCommand('banByIp', ip=client.ip, reason=reason[:80])) if admin: admin.message('Banned: %s (@%s). ' 'His last ip (%s) has been added to banlist' % (client.exactName, client.id, client.ip)) else: # ban by cid self.debug('EFFECTIVE BAN : %s',self.getCommand('ban', guid=client.guid, reason=reason[:80])) self.write(('banList.list',)) self.write(self.getCommand('ban', cid=client.cid, reason=reason[:80])) self.write(('banList.list',)) self.write(self.getCommand('kick', cid=client.cid, reason=reason[:80])) if admin: admin.message('Banned: %s (@%s) has been added to banlist' % (client.exactName, client.id)) if self.PunkBuster: self.PunkBuster.banGUID(client, reason) if not silent: self.say(reason) self.queueEvent(self.getEvent('EVT_CLIENT_BAN', {'reason': reason, 'admin': admin}, client)) def rotateMap(self): """ Load the next map (not level). If the current game mod plays each level twice to get teams the chance to play both sides, then this rotate a second time to really switch to the next map. """ nextIndex = self.getNextMapIndex() if nextIndex == -1: # No map in map rotation list, just call admin.runNextLevel self.write(('admin.runNextRound',)) else: self.write(('mapList.nextLevelIndex', nextIndex)) self.write(('admin.runNextRound',)) def changeMap(self, mapname): """ Change to the given map 1) determine the level name If map is of the form 'mp_001' and 'Kaboul' is a supported level for the current game mod, then this level is loaded. In other cases, this method assumes it is given a 'easy map name' (like 'Port Valdez') and it will do its best to find the level name that seems to be for 'Port Valdez' within the supported levels. If no match is found, then instead of loading the map, this method returns a list of candidate map names 2) if we got a level name if the level is not in the current rotation list, then add it to the map list and load it """ supportedMaps = self.getSupportedMaps() if 'levels/%s' % mapname in supportedMaps: mapname = 'levels/%s' % mapname if mapname not in supportedMaps: match = self.getMapsSoundingLike(mapname) if len(match) == 1: mapname = match[0] else: return match if mapname in supportedMaps: levelnames = self.write(('mapList.list',)) if mapname not in levelnames: # add the map to the map list nextIndex = self.getNextMapIndex() if nextIndex == -1: self.write(('mapList.append', mapname)) nextIndex = 0 else: if nextIndex == 0: # case where the map list contains only 1 map nextIndex = 1 self.write(('mapList.insert', nextIndex, mapname)) else: nextIndex = 0 while nextIndex < len(levelnames) and levelnames[nextIndex] != mapname: nextIndex += 1 self.say('Changing map to %s' % mapname) time.sleep(1) self.write(('mapList.nextLevelIndex', nextIndex)) self.write(('admin.runNextRound', )) def saybig(self, msg): """ Broadcast a message to all players. :param msg: The message to be broadcasted """ self.say(msg)
[ "ptitbigorneau@ptitbigorneau.fr" ]
ptitbigorneau@ptitbigorneau.fr
29fffb48a9e663544324fd2af5ce46a84d61c96d
0e1e643e864bcb96cf06f14f4cb559b034e114d0
/Exps_7_v3/I_to_M_Gk3_no_pad/pyramid_tight_crop_size256/pyramid_0side/bce_s001_tv_s0p1_L7/step10_a.py
fc7beba190ab5b5cb7e770bfebbd16709a53e1da
[]
no_license
KongBOy/kong_model2
33a94a9d2be5b0f28f9d479b3744e1d0e0ebd307
1af20b168ffccf0d5293a393a40a9fa9519410b2
refs/heads/master
2022-10-14T03:09:22.543998
2022-10-06T11:33:42
2022-10-06T11:33:42
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############################################################################################################################################################################################################# ############################################################################################################################################################################################################# ### 把 kong_model2 加入 sys.path import os code_exe_path = os.path.realpath(__file__) ### 目前執行 step10_b.py 的 path code_exe_path_element = code_exe_path.split("\\") ### 把 path 切分 等等 要找出 kong_model 在第幾層 code_dir = "\\".join(code_exe_path_element[:-1]) kong_layer = code_exe_path_element.index("kong_model2") ### 找出 kong_model2 在第幾層 kong_model2_dir = "\\".join(code_exe_path_element[:kong_layer + 1]) ### 定位出 kong_model2 的 dir import sys ### 把 kong_model2 加入 sys.path sys.path.append(kong_model2_dir) sys.path.append(code_dir) # print(__file__.split("\\")[-1]) # print(" code_exe_path:", code_exe_path) # print(" code_exe_path_element:", code_exe_path_element) # print(" code_dir:", code_dir) # print(" kong_layer:", kong_layer) # print(" kong_model2_dir:", kong_model2_dir) ############################################################################################################################################################################################################# kong_to_py_layer = len(code_exe_path_element) - 1 - kong_layer ### 中間 -1 是為了長度轉index # print(" kong_to_py_layer:", kong_to_py_layer) if (kong_to_py_layer == 0): template_dir = "" elif(kong_to_py_layer == 2): template_dir = code_exe_path_element[kong_layer + 1][0:] ### [7:] 是為了去掉 step1x_, 後來覺得好像改有意義的名字不去掉也行所以 改 0 elif(kong_to_py_layer == 3): template_dir = code_exe_path_element[kong_layer + 1][0:] + "/" + code_exe_path_element[kong_layer + 2][0:] ### [5:] 是為了去掉 mask_ ,前面的 mask_ 是為了python 的 module 不能 數字開頭, 隨便加的這樣子, 後來覺得 自動排的順序也可以接受, 所以 改0 elif(kong_to_py_layer > 3): template_dir = code_exe_path_element[kong_layer + 1][0:] + "/" + code_exe_path_element[kong_layer + 2][0:] + "/" + "/".join(code_exe_path_element[kong_layer + 3: -1]) # print(" template_dir:", template_dir) ### 舉例: template_dir: 7_mask_unet/5_os_book_and_paper_have_dtd_hdr_mix_bg_tv_s04_mae ############################################################################################################################################################################################################# exp_dir = template_dir ############################################################################################################################################################################################################# from step06_a_datas_obj import * from step09_0side_L7 import * from step10_a2_loss_info_obj import * from step10_b2_exp_builder import Exp_builder rm_paths = [path for path in sys.path if code_dir in path] for rm_path in rm_paths: sys.path.remove(rm_path) rm_moduless = [module for module in sys.modules if "step09" in module] for rm_module in rm_moduless: del sys.modules[rm_module] ############################################################################################################################################################################################################# ''' exp_dir 是 決定 result_dir 的 "上一層"資料夾 名字喔! exp_dir要巢狀也沒問題~ 比如:exp_dir = "6_mask_unet/自己命的名字",那 result_dir 就都在: 6_mask_unet/自己命的名字/result_a 6_mask_unet/自己命的名字/result_b 6_mask_unet/自己命的名字/... ''' use_db_obj = type9_mask_flow_have_bg_dtd_hdr_mix_and_paper use_loss_obj = [G_bce_s001_loss_info_builder.set_loss_target("UNet_Mask").copy()] ### z, y, x 順序是看 step07_b_0b_Multi_UNet 來對應的喔 ############################################################# ### 為了resul_analyze畫空白的圖,建一個empty的 Exp_builder empty = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_0side, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_0side.kong_model.model_describe) .set_train_args(epochs= 60).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="為了resul_analyze畫空白的圖,建一個empty的 Exp_builder") ############################################################# ch032_0side = Exp_builder().set_basic("train", use_db_obj, ch032_pyramid_0side, use_loss_obj, exp_dir=exp_dir, code_exe_path=code_exe_path, describe_end=ch032_pyramid_0side.kong_model.model_describe) .set_train_args(epochs= 60).set_train_in_gt_use_range(use_in_range=Range(0, 1), use_gt_range=Range(0, 1)).set_result_name(result_name="L7_ch032_bl_pyr_-20220404_045023") ############################################################# if(__name__ == "__main__"): print("build exps cost time:", time.time() - start_time) if len(sys.argv) < 2: ############################################################################################################ ### 直接按 F5 或打 python step10_b1_exp_obj_load_and_train_and_test.py,後面沒有接東西喔!才不會跑到下面給 step10_b_subprocss.py 用的程式碼~~~ ch032_0side.build().run() # print('no argument') sys.exit() ### 以下是給 step10_b_subprocess.py 用的,相當於cmd打 python step10_b1_exp_obj_load_and_train_and_test.py 某個exp.build().run() eval(sys.argv[1])
[ "s89334roy@yahoo.com.tw" ]
s89334roy@yahoo.com.tw
26cd827693df39816b4e8f1cb6ead467289b3f8c
2006a22faca0265cab5f7de486971103c478439e
/tmdbSearch/migrations/0001_initial.py
195f99d71e4c2058e3519767365bb32f9c42951a
[]
no_license
GuardianBob/portfolio
4b6060b1ed9b1f59047d21d90732f1fbb3271066
1296cb13632c619c18a3513d3064b16f4eab1f8b
refs/heads/main
2023-04-20T10:08:23.715797
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# Generated by Django 2.2.13 on 2021-04-20 20:44 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Movie', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=255)), ('desc', models.TextField(blank=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ], ), ]
[ "78508863+GuardianBob@users.noreply.github.com" ]
78508863+GuardianBob@users.noreply.github.com
e5a1ffe642b9b33247a8e70bb7902591cc486875
2407490f32568f4469a71172e74b4e41c7b8231e
/you_app/main/utils.py
457f007022faed7fe7ef315f005ab778c9fda487
[]
no_license
sidneyarcidiacono/you
d730695422a576628940374e8a14a52decc2ba54
e09cba147eac37265611033ec84e5eae653d952c
refs/heads/main
2023-02-01T12:34:08.407341
2020-12-20T05:19:49
2020-12-20T05:19:49
314,082,678
0
0
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"""Module and package import.""" import os import secrets from PIL import Image from you_app import app def save_image(form_image, size, folder): """Save avatar upload to static.""" random_hex = secrets.token_hex(8) _, f_ext = os.path.splitext(form_image.filename) image_filename = random_hex + f_ext image_path = os.path.join( app.root_path, f"static/{folder}", image_filename ) output_size = (size, size) i = Image.open(form_image) i.thumbnail(output_size) i.save(image_path) return image_filename
[ "sidneyarci@gmail.com" ]
sidneyarci@gmail.com
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272ae95716e530d538937ded59ec5b6e0b6d4db8
/섹션 4/5. 회의실 배정/AA.py
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[]
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gogoheejun/algorithm
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39e999abf7170f434a7ac6e1f698f066e55aca03
refs/heads/main
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import sys # sys.stdin = open("input.txt", "r") n = int(input()) meeting = [] for _ in range(n): s, e = map(int, input().split()) meeting.append((s, e)) meeting.sort(key=lambda x: (x[1], x[0])) et = 0 cnt = 0 for s, e in meeting: if s >= et: et = e cnt += 1 print(cnt)
[ "heejjuunn@gmail.com" ]
heejjuunn@gmail.com
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e3c8f786d09e311d6ea1cab50edde040bf1ea988
/Incident-Response/Tools/grr/grr/server/grr_response_server/gui/api_plugins/artifact_test.py
098afe7f9d00f1413eca44a3d6ba8e71eb2e859a
[ "Apache-2.0", "MIT" ]
permissive
foss2cyber/Incident-Playbook
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#!/usr/bin/env python """This modules contains tests for artifact API handler.""" from __future__ import absolute_import from __future__ import division from __future__ import unicode_literals import io import os from absl import app from grr_response_core import config from grr_response_core.lib.rdfvalues import artifacts as rdf_artifacts from grr_response_server import artifact from grr_response_server.gui import api_call_context from grr_response_server.gui import api_test_lib from grr_response_server.gui.api_plugins import artifact as artifact_plugin from grr.test_lib import artifact_test_lib from grr.test_lib import db_test_lib from grr.test_lib import flow_test_lib from grr.test_lib import test_lib @db_test_lib.TestDatabases() class ApiListArtifactsHandlerTest(flow_test_lib.FlowTestsBaseclass): """Test for ApiListArtifactsHandler.""" def setUp(self): super().setUp() self.handler = artifact_plugin.ApiListArtifactsHandler() self.context = api_call_context.ApiCallContext("test") @artifact_test_lib.PatchCleanArtifactRegistry def testNoArtifacts(self, _): result = self.handler.Handle(self.handler.args_type(), context=self.context) self.assertEqual(result.total_count, 0) self.assertEqual(result.items, []) @artifact_test_lib.PatchDefaultArtifactRegistry def testPrepackagedArtifacts(self, registry): test_artifacts_file = os.path.join(config.CONFIG["Test.data_dir"], "artifacts", "test_artifacts.json") registry.AddFileSource(test_artifacts_file) result = self.handler.Handle(self.handler.args_type(), context=self.context) # Some artifacts are guaranteed to be returned, as they're defined in # the test_data/artifacts/test_artifacts.json. self.assertTrue(result.total_count) # Check that FakeArtifact artifact exists. It's guaranteed to exist, since # it's defined in test_data/artifacts/test_artifacts.json. for item in result.items: if item.artifact.name == "FakeArtifact": fake_artifact = item self.assertTrue(fake_artifact) self.assertTrue(fake_artifact.HasField("is_custom")) self.assertFalse(fake_artifact.is_custom) self.assertTrue(fake_artifact.artifact.doc) self.assertTrue(fake_artifact.artifact.labels) self.assertTrue(fake_artifact.artifact.supported_os) @db_test_lib.TestDatabases() class ApiUploadArtifactHandlerTest(api_test_lib.ApiCallHandlerTest): def setUp(self): super().setUp() self.handler = artifact_plugin.ApiUploadArtifactHandler() @artifact_test_lib.PatchCleanArtifactRegistry def testUpload(self, registry): test_artifacts_file = os.path.join(config.CONFIG["Test.data_dir"], "artifacts", "test_artifact.json") with open(test_artifacts_file, "rb") as fd: args = self.handler.args_type(artifact=fd.read()) with self.assertRaises(rdf_artifacts.ArtifactNotRegisteredError): registry.GetArtifact("TestDrivers") self.handler.Handle(args, context=self.context) registry.GetArtifact("TestDrivers") @db_test_lib.TestDatabases() @artifact_test_lib.PatchDefaultArtifactRegistry class ApiDeleteArtifactsHandlerTest(api_test_lib.ApiCallHandlerTest): def setUp(self): super().setUp() self.handler = artifact_plugin.ApiDeleteArtifactsHandler() def UploadTestArtifacts(self): test_artifacts_file = os.path.join(config.CONFIG["Test.data_dir"], "artifacts", "test_artifacts.json") with io.open(test_artifacts_file, mode="r", encoding="utf-8") as fd: artifact.UploadArtifactYamlFile(fd.read()) def testDeletesArtifactsWithSpecifiedNames(self, registry): self.UploadTestArtifacts() count = len(registry.GetArtifacts(reload_datastore_artifacts=True)) args = self.handler.args_type( names=["TestFilesArtifact", "WMIActiveScriptEventConsumer"]) self.handler.Handle(args, context=self.context) new_count = len(registry.GetArtifacts()) # Check that we deleted exactly 2 artifacts. self.assertEqual(new_count, count - 2) def testDeleteDependency(self, registry): self.UploadTestArtifacts() args = self.handler.args_type(names=["TestAggregationArtifact"]) with self.assertRaises(ValueError): self.handler.Handle(args, context=self.context) def testDeleteNonExistentArtifact(self, registry): self.UploadTestArtifacts() args = self.handler.args_type(names=["NonExistentArtifact"]) e = self.assertRaises(ValueError) with e: self.handler.Handle(args, context=self.context) self.assertEqual( str(e.exception), "Artifact(s) to delete (NonExistentArtifact) not found.") def main(argv): test_lib.main(argv) if __name__ == "__main__": app.run(main)
[ "a.songer@protonmail.com" ]
a.songer@protonmail.com
8750b5a85f5bf639089362275a3f6ae04d98a764
e5d82c5f4ad8c11e0003df1ffde1ee108ce54081
/geodashserver/views.py
ebe1c10d649d1afb75def58558e2cf43739b9eb5
[]
no_license
geodashio/geodash-server
38277c0da0b2038283e79c1a7f3d17066e2b711d
196a2a437e75dc6b2687cd778e87e37d11f7a1a2
refs/heads/master
2020-04-06T07:12:14.765134
2016-08-20T18:14:05
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60,358,601
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import datetime import requests import yaml import errno from socket import error as socket_error from django.conf import settings from django.core.urlresolvers import reverse from django.contrib.auth.models import User, Group from django.http import Http404, HttpResponse, HttpResponseRedirect from django.views.generic import View from django.shortcuts import render_to_response, get_object_or_404 from django.template import RequestContext from django.template.loader import get_template from guardian.models import UserObjectPermission from guardian.shortcuts import get_users_with_perms, get_perms, remove_perm try: import simplejson as json except ImportError: import json from geodash.cache import provision_memcached_client from geodashserver.models import GeoDashDashboard from geodashserver.utils import build_initial_state, build_state_schema SCHEMA_PATH = 'geodashserver/static/geodashserver/build/schema/schema.yml' def home(request, template="geodashserver/home.html"): now = datetime.datetime.now() current_month = now.month page = "home" # READ: No context path slug = "home" map_obj = get_object_or_404(GeoDashDashboard, slug=slug) map_config = yaml.load(map_obj.config) initial_state = build_initial_state(map_config, page=page, slug=slug) state_schema = build_state_schema() ctx = { "map_config": map_config, "map_config_json": json.dumps(map_config), "state": initial_state, "state_json": json.dumps(initial_state), "state_schema": state_schema, "state_schema_json": json.dumps(state_schema), "init_function": "init_dashboard", "geodash_main_id": "geodash-main" } return render_to_response(template, RequestContext(request, ctx)) def explore(request, template="geodashserver/explore.html"): now = datetime.datetime.now() current_month = now.month page = "explore" slug = "explore" map_obj = get_object_or_404(GeoDashDashboard, slug=slug) map_config = yaml.load(map_obj.config) initial_state = build_initial_state(map_config, page=page, slug=slug) state_schema = build_state_schema() ctx = { "map_config": map_config, "map_config_json": json.dumps(map_config), "state": initial_state, "state_json": json.dumps(initial_state), "state_schema": state_schema, "state_schema_json": json.dumps(state_schema), "init_function": "init_dashboard", "geodash_main_id": "geodash-main", "include_sidebar_right": False } return render_to_response(template, RequestContext(request, ctx)) def geodash_dashboard(request, slug=None, template="geodashserver/dashboard.html"): map_obj = get_object_or_404(GeoDashDashboard, slug=slug) print map_obj print map_obj.published print get_perms(request.user, map_obj) print request.user.has_perm("view_geodashdashboard", map_obj) if not map_obj.published: if not request.user.is_authenticated(): raise Http404("Not authenticated.") if not request.user.has_perm("view_geodashdashboard", map_obj): raise Http404("Not authorized.") pages = {} for gm in GeoDashDashboard.objects.all(): pages[gm.slug] = reverse('geodash_dashboard', kwargs={'slug':gm.slug}) #map_config_template = "geodashserver/maps/"+map_obj.template #map_config_yml = get_template(map_config_template).render({ # 'slug': map_obj.slug, # 'title': map_obj.title #}) map_config = yaml.load(map_obj.config) map_config["slug"] = map_obj.slug map_config["title"] = map_obj.title #map_config_schema_template = "geodash/schema.yml" #map_config_schema_yml = get_template(map_config_schema_template).render({}) #map_config_schema = yaml.load(map_config_schema_yml) map_config_schema = yaml.load(file(SCHEMA_PATH,'r')) editor_template = "geodashserver/editor.yml" editor_yml = get_template(editor_template).render({}) editor = yaml.load(editor_yml) allperms = get_users_with_perms(map_obj, attach_perms=True) print allperms security = { "advertised": map_obj.advertised, "published": map_obj.published, 'view_geodashdashboard': sorted([x.username for x in allperms if 'view_geodashdashboard' in allperms[x]]), 'change_geodashdashboard':sorted([x.username for x in allperms if 'change_geodashdashboard' in allperms[x]]), 'delete_geodashdashboard':sorted([x.username for x in allperms if 'delete_geodashdashboard' in allperms[x]]) } security_schema = yaml.load(get_template("geodashserver/security.yml").render({})) initial_state = build_initial_state(map_config, page="dashboard", slug=slug) state_schema = build_state_schema() users = [] if request.user.has_perm("change_geodashdashboard", map_obj): users =[{'id': x.username, 'text': x.username} for x in User.objects.exclude(username='AnonymousUser')] ctx = { "pages_json": json.dumps(pages), "map_config": map_config, "map_config_json": json.dumps(map_config), "map_config_schema": map_config_schema, "map_config_schema_json": json.dumps(map_config_schema), "editor": editor, "editor_json": json.dumps(editor), "state": initial_state, "state_json": json.dumps(initial_state), "state_schema": state_schema, "state_schema_json": json.dumps(state_schema), "security": security, "security_json": json.dumps(security), "security_schema": security_schema, "security_schema_json": json.dumps(security_schema), "init_function": "init_dashboard", "geodash_main_id": "geodash-main", "include_sidebar_right": request.user.has_perm("change_geodashdashboard", map_obj), "perms_json": json.dumps(get_perms(request.user, map_obj)), "users": json.dumps(users) } return render_to_response(template, RequestContext(request, ctx)) def geodash_dashboard_config(request, slug=None, extension="json"): map_obj = get_object_or_404(GeoDashDashboard, slug=slug) if not map_obj.published: if not request.user.is_authenticated(): raise Http404("Not authenticated.") if not request.user.has_perm("view_geodashdashboard", map_obj): raise Http404("Not authorized.") map_config = yaml.load(map_obj.config) map_config["slug"] = map_obj.slug map_config["title"] = map_obj.title ext_lc = extension.lower(); if ext_lc == "json": return HttpResponse(json.dumps(map_config, default=jdefault), content_type="application/json") elif ext_lc == "yml" or ext_lc == "yaml": response = yaml.safe_dump(map_config, encoding="utf-8", allow_unicode=True, default_flow_style=False) return HttpResponse(response, content_type="application/json") else: raise Http404("Unknown config format.") def geodash_dashboard_config_new(request): if not request.user.is_authenticated(): raise Http404("Not authenticated.") if request.is_ajax(): raise Http404("Use AJAX.") if request.method != 'POST': raise Http404("Can only use POST") content = json.loads(request.body) config = content['config'] slug = config.pop('slug', None) map_obj = None try: map_obj = GeoDashDashboard.objects.get(slug=slug) except GeoDashDashboard.DoesNotExist: map_obj = None response_json = None if map_obj: response_json = { 'success': False, 'message': 'Create new dashboard failed. Same slug.' } else: owner = request.user title = config.pop('title', None) security = content['security'] map_obj = GeoDashDashboard( slug=slug, title=title, config=yaml.dump(config), advertised=(security.get('advertised', False) in ["true", "t", "1", "yes", "y", True]), published=(security.get('published', False) in ["true", "t", "1", "yes", "y", True])) map_obj.save() for perm in ["view_geodashdashboard", "change_geodashdashboard", "delete_geodashdashboard"]: UserObjectPermission.objects.assign_perm( perm, user=owner, obj=map_obj) config.update({ 'slug': slug, 'title': title }) response_json = { 'success': True, 'config': config } return HttpResponse(json.dumps(response_json, default=jdefault), content_type="application/json") def geodash_dashboard_config_save(request, slug=None): if not request.user.is_authenticated(): raise Http404("Not authenticated.") if request.is_ajax(): raise Http404("Use AJAX.") if request.method != 'POST': raise Http404("Can only use POST") map_obj = get_object_or_404(GeoDashDashboard, slug=slug) response_json = None if request.user.has_perm("change_geodashdashboard", map_obj): print request.body content = json.loads(request.body) config = content['config'] map_obj.slug = config.pop('slug', None) map_obj.title = config.pop('title', None) map_obj.config = yaml.dump(config) security = content['security']; map_obj.advertised=(security.get('advertised', False) in ["true", "t", "1", "yes", "y", True]); map_obj.published=(security.get('published', False) in ["true", "t", "1", "yes", "y", True]); map_obj.save() perms = { 'view_geodashdashboard': security.get("view_geodashdashboard", []), 'change_geodashdashboard': security.get("change_geodashdashboard", []), 'delete_geodashdashboard': security.get("delete_geodashdashboard", []) } currentUsers = get_users_with_perms(map_obj) for perm in ["view_geodashdashboard", "change_geodashdashboard", "delete_geodashdashboard"]: # Remove Old Permissions for user in currentUsers: username = user.username if (username not in perms[perm]) and user.has_perm(perm, map_obj): remove_perm(perm, user, map_obj) # Add New Permissions for username in perms[perm]: user = User.objects.get(username=username) UserObjectPermission.objects.assign_perm( perm, user=user, obj=map_obj) config.update({ 'slug': map_obj.slug, 'title': map_obj.title }) response_json = { 'success': True, 'config': config } else: response_json = { 'success': False, 'message': 'Save dashboard failed. You do not have permissions.' } return HttpResponse(json.dumps(response_json, default=jdefault), content_type="application/json") def geodash_map_schema(request): #map_config_schema_template = "geodash/schema.yml" #map_config_schema_yml = get_template(map_config_schema_template).render({}) #map_config_schema = yaml.load(map_config_schema_yml) map_config_schema = yaml.load(file(SCHEMA_PATH,'r')) return HttpResponse(json.dumps(map_config_schema, default=jdefault), content_type="application/json") def geodash_editor_config(request): editor_config_template = "geodashserver/editor.yml" editor_config_yml = get_template(editor_config_template).render({}) editor_config = yaml.load(editor_config_yml) return HttpResponse(json.dumps(editor_config, default=jdefault), content_type="application/json") class geodash_view(View): key = None content_type = "application/json" def _build_key(self, request, *args, **kwargs): return self.key def _build_data(self): raise Exception('geodash_view._build_data should be overwritten') def get(self, request, *args, **kwargs): data = None if settings.GEODASH_CACHE_DATA: client = provision_memcached_client() if client: key = self._build_key(request, *args, **kwargs) print "Checking cache with key ", key data = None try: data = client.get(key) except socket_error as serr: data = None print "Error getting data from in-memory cache." if serr.errno == errno.ECONNREFUSED: print "Memcached is likely not running. Start memcached with supervisord." raise serr if not data: print "Data not found in cache." data = self._build_data(request, *args, **kwargs) try: client.set(key, data) except socket_error as serr: print "Error saving data to in-memory cache." if serr.errno == errno.ECONNREFUSED: print "Memcached is likely not running or the data exceeds memcached item size limit. Start memcached with supervisord." raise serr else: print "Data found in cache." else: print "Could not connect to memcached client. Bypassing..." data = self._build_data(request, *args, **kwargs) else: print "Not caching data (settings.GEODASH_CACHE_DATA set to False)." data = self._build_data(request, *args, **kwargs) return HttpResponse(json.dumps(data, default=jdefault), content_type=self.content_type) def cache_data_flush(request): client = provision_memcached_client() success = client.flush_all() return HttpResponse(json.dumps({'success':success}), content_type='application/json') def jdefault(o): return o.__dict__
[ "pjdufour.dev@gmail.com" ]
pjdufour.dev@gmail.com
48ae08d55da5746ef76de8913b98bd278a9bbb20
23392f060c85b5fee645d319f2fd5560653dfd5c
/01_jumptopy/chap06/practice/Q1_duplicate_numbers.py
a45ed6b9decff9ed5cf440a352e3639d9c2df4e0
[]
no_license
heyhello89/openbigdata
65192f381de83e4d153c072ff09fa7574f003037
b35ff237c32013c3e5380eee782085a64edb9d80
refs/heads/master
2021-10-22T04:29:00.852546
2019-03-08T02:14:34
2019-03-08T02:14:34
125,938,319
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null
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string=input() list_str=string.split() for index in list_str: for num in range(0, 10): match=index.count(str(num)) if match!=1: print("False ", end="") break elif num==9 and match==1: print("True ", end="")
[ "heyhello89@hanmail.net" ]
heyhello89@hanmail.net
6f372e79944370fefdf90422131141fd69d2fbe5
3c41889e19235e5d272d4f184339b3a88d96a0c6
/_utils/_behaviors.py
7280b7b6a7049df13a6152d7634be433e425a8a0
[]
no_license
manfreddiaz/safe-iil
b0908fc7be9fb772fae267f6f2f835fa90f9f0a2
9cd5007a7f8e8abd10e844351bec278bfd942387
refs/heads/master
2020-04-19T07:58:34.915693
2019-01-30T18:55:22
2019-01-30T18:55:22
168,062,938
2
0
null
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py
# experiments configurations for submissions, define behavior of the environment after each episode from ._settings import simulation class Icra2019Behavior: def __init__(self, env, at, routine): self.env = env self.at = at self.routine = routine self.routine.on_step_done(self) def restart(self): simulation(self.at, self.env, reset=False) def reset(self): simulation(self.at, self.env, reset=True) def step_done(self, observation, action, reward, done, info): pass # if done: # self.restart() class Icra2019TestBehavior: def __init__(self, env, starting_positions, routine): self.env = env self.starting = starting_positions self.current_position = 0 self.routine = routine self.routine.on_step_done(self) def restart(self): self.current_position += 1 self.current_position %= len(self.starting) simulation(self.starting[self.current_position], self.env, reset=False) def reset(self): simulation(self.starting[self.current_position], self.env, reset=True) def step_done(self, observation, action, reward, done, info): if done: # if goes out of boundaries... self.restart()
[ "takeitallsource@gmail.com" ]
takeitallsource@gmail.com
cc8e386611414bbb123e4f2825c50621055a9554
e43e8bd052a613f158e29339aaa7e3bdec40b6fb
/core/model.py
5255942cf17f618f2b2d69e0d5345d05659da948
[]
no_license
sakshijain032/Harmful-Object-Detection
249f586ffbc7de99f6647689bae230f3b79694b3
8e1711fc1596b451f97b5ff2f7690453a888c848
refs/heads/master
2022-12-24T18:40:41.795010
2020-10-01T17:34:42
2020-10-01T17:34:42
293,727,797
2
0
null
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null
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py
# Copyright 2017 The TensorFlow Authors. 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. # ============================================================================== """Abstract detection model. This file defines a generic base class for detection models. Programs that are designed to work with arbitrary detection models should only depend on this class. We intend for the functions in this class to follow tensor-in/tensor-out design, thus all functions have tensors or lists/dictionaries holding tensors as inputs and outputs. Abstractly, detection models predict output tensors given input images which can be passed to a loss function at training time or passed to a postprocessing function at eval time. The computation graphs at a high level consequently look as follows: Training time: inputs (images tensor) -> preprocess -> predict -> loss -> outputs (loss tensor) Evaluation time: inputs (images tensor) -> preprocess -> predict -> postprocess -> outputs (boxes tensor, scores tensor, classes tensor, num_detections tensor) DetectionModels must thus implement four functions (1) preprocess, (2) predict, (3) postprocess and (4) loss. DetectionModels should make no assumptions about the input size or aspect ratio --- they are responsible for doing any resize/reshaping necessary (see docstring for the preprocess function). Output classes are always integers in the range [0, num_classes). Any mapping of these integers to semantic labels is to be handled outside of this class. Images are resized in the `preprocess` method. All of `preprocess`, `predict`, and `postprocess` should be reentrant. The `preprocess` method runs `image_resizer_fn` that returns resized_images and `true_image_shapes`. Since `image_resizer_fn` can pad the images with zeros, true_image_shapes indicate the slices that contain the image without padding. This is useful for padding images to be a fixed size for batching. The `postprocess` method uses the true image shapes to clip predictions that lie outside of images. By default, DetectionModels produce bounding box detections; However, we support a handful of auxiliary annotations associated with each bounding box, namely, instance masks and keypoints. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import abc import six import tensorflow as tf from core import standard_fields as fields # If using a new enough version of TensorFlow, detection models should be a # tf module or keras model for tracking. try: _BaseClass = tf.Module except AttributeError: _BaseClass = object class DetectionModel(six.with_metaclass(abc.ABCMeta, _BaseClass)): """Abstract base class for detection models. Extends tf.Module to guarantee variable tracking. """ def __init__(self, num_classes): """Constructor. Args: num_classes: number of classes. Note that num_classes *does not* include background categories that might be implicitly predicted in various implementations. """ self._num_classes = num_classes self._groundtruth_lists = {} @property def num_classes(self): return self._num_classes def groundtruth_lists(self, field): """Access list of groundtruth tensors. Args: field: a string key, options are fields.BoxListFields.{boxes,classes,masks,keypoints} or fields.InputDataFields.is_annotated. Returns: a list of tensors holding groundtruth information (see also provide_groundtruth function below), with one entry for each image in the batch. Raises: RuntimeError: if the field has not been provided via provide_groundtruth. """ if field not in self._groundtruth_lists: raise RuntimeError('Groundtruth tensor {} has not been provided'.format( field)) return self._groundtruth_lists[field] def groundtruth_has_field(self, field): """Determines whether the groundtruth includes the given field. Args: field: a string key, options are fields.BoxListFields.{boxes,classes,masks,keypoints} or fields.InputDataFields.is_annotated. Returns: True if the groundtruth includes the given field, False otherwise. """ return field in self._groundtruth_lists @abc.abstractmethod def preprocess(self, inputs): """Input preprocessing. To be overridden by implementations. This function is responsible for any scaling/shifting of input values that is necessary prior to running the detector on an input image. It is also responsible for any resizing, padding that might be necessary as images are assumed to arrive in arbitrary sizes. While this function could conceivably be part of the predict method (below), it is often convenient to keep these separate --- for example, we may want to preprocess on one device, place onto a queue, and let another device (e.g., the GPU) handle prediction. A few important notes about the preprocess function: + We assume that this operation does not have any trainable variables nor does it affect the groundtruth annotations in any way (thus data augmentation operations such as random cropping should be performed externally). + There is no assumption that the batchsize in this function is the same as the batch size in the predict function. In fact, we recommend calling the preprocess function prior to calling any batching operations (which should happen outside of the model) and thus assuming that batch sizes are equal to 1 in the preprocess function. + There is also no explicit assumption that the output resolutions must be fixed across inputs --- this is to support "fully convolutional" settings in which input images can have different shapes/resolutions. Args: inputs: a [batch, height_in, width_in, channels] float32 tensor representing a batch of images with values between 0 and 255.0. Returns: preprocessed_inputs: a [batch, height_out, width_out, channels] float32 tensor representing a batch of images. true_image_shapes: int32 tensor of shape [batch, 3] where each row is of the form [height, width, channels] indicating the shapes of true images in the resized images, as resized images can be padded with zeros. """ pass @abc.abstractmethod def predict(self, preprocessed_inputs, true_image_shapes): """Predict prediction tensors from inputs tensor. Outputs of this function can be passed to loss or postprocess functions. Args: preprocessed_inputs: a [batch, height, width, channels] float32 tensor representing a batch of images. true_image_shapes: int32 tensor of shape [batch, 3] where each row is of the form [height, width, channels] indicating the shapes of true images in the resized images, as resized images can be padded with zeros. Returns: prediction_dict: a dictionary holding prediction tensors to be passed to the Loss or Postprocess functions. """ pass @abc.abstractmethod def postprocess(self, prediction_dict, true_image_shapes, **params): """Convert predicted output tensors to final detections. This stage typically performs a few things such as * Non-Max Suppression to remove overlapping detection boxes. * Score conversion and background class removal. Outputs adhere to the following conventions: * Classes are integers in [0, num_classes); background classes are removed and the first non-background class is mapped to 0. If the model produces class-agnostic detections, then no output is produced for classes. * Boxes are to be interpreted as being in [y_min, x_min, y_max, x_max] format and normalized relative to the image window. * `num_detections` is provided for settings where detections are padded to a fixed number of boxes. * We do not specifically assume any kind of probabilistic interpretation of the scores --- the only important thing is their relative ordering. Thus implementations of the postprocess function are free to output logits, probabilities, calibrated probabilities, or anything else. Args: prediction_dict: a dictionary holding prediction tensors. true_image_shapes: int32 tensor of shape [batch, 3] where each row is of the form [height, width, channels] indicating the shapes of true images in the resized images, as resized images can be padded with zeros. **params: Additional keyword arguments for specific implementations of DetectionModel. Returns: detections: a dictionary containing the following fields detection_boxes: [batch, max_detections, 4] detection_scores: [batch, max_detections] detection_classes: [batch, max_detections] (If a model is producing class-agnostic detections, this field may be missing) instance_masks: [batch, max_detections, image_height, image_width] (optional) keypoints: [batch, max_detections, num_keypoints, 2] (optional) num_detections: [batch] In addition to the above fields this stage also outputs the following raw tensors: raw_detection_boxes: [batch, total_detections, 4] tensor containing all detection boxes from `prediction_dict` in the format [ymin, xmin, ymax, xmax] and normalized co-ordinates. raw_detection_scores: [batch, total_detections, num_classes_with_background] tensor of class score logits for raw detection boxes. """ pass @abc.abstractmethod def loss(self, prediction_dict, true_image_shapes): """Compute scalar loss tensors with respect to provided groundtruth. Calling this function requires that groundtruth tensors have been provided via the provide_groundtruth function. Args: prediction_dict: a dictionary holding predicted tensors true_image_shapes: int32 tensor of shape [batch, 3] where each row is of the form [height, width, channels] indicating the shapes of true images in the resized images, as resized images can be padded with zeros. Returns: a dictionary mapping strings (loss names) to scalar tensors representing loss values. """ pass def provide_groundtruth(self, groundtruth_boxes_list, groundtruth_classes_list, groundtruth_masks_list=None, groundtruth_keypoints_list=None, groundtruth_weights_list=None, groundtruth_confidences_list=None, groundtruth_is_crowd_list=None, is_annotated_list=None): """Provide groundtruth tensors. Args: groundtruth_boxes_list: a list of 2-D tf.float32 tensors of shape [num_boxes, 4] containing coordinates of the groundtruth boxes. Groundtruth boxes are provided in [y_min, x_min, y_max, x_max] format and assumed to be normalized and clipped relative to the image window with y_min <= y_max and x_min <= x_max. groundtruth_classes_list: a list of 2-D tf.float32 one-hot (or k-hot) tensors of shape [num_boxes, num_classes] containing the class targets with the 0th index assumed to map to the first non-background class. groundtruth_masks_list: a list of 3-D tf.float32 tensors of shape [num_boxes, height_in, width_in] containing instance masks with values in {0, 1}. If None, no masks are provided. Mask resolution `height_in`x`width_in` must agree with the resolution of the input image tensor provided to the `preprocess` function. groundtruth_keypoints_list: a list of 3-D tf.float32 tensors of shape [num_boxes, num_keypoints, 2] containing keypoints. Keypoints are assumed to be provided in normalized coordinates and missing keypoints should be encoded as NaN. groundtruth_weights_list: A list of 1-D tf.float32 tensors of shape [num_boxes] containing weights for groundtruth boxes. groundtruth_confidences_list: A list of 2-D tf.float32 tensors of shape [num_boxes, num_classes] containing class confidences for groundtruth boxes. groundtruth_is_crowd_list: A list of 1-D tf.bool tensors of shape [num_boxes] containing is_crowd annotations is_annotated_list: A list of scalar tf.bool tensors indicating whether images have been labeled or not. """ self._groundtruth_lists[fields.BoxListFields.boxes] = groundtruth_boxes_list self._groundtruth_lists[ fields.BoxListFields.classes] = groundtruth_classes_list if groundtruth_weights_list: self._groundtruth_lists[fields.BoxListFields. weights] = groundtruth_weights_list if groundtruth_confidences_list: self._groundtruth_lists[fields.BoxListFields. confidences] = groundtruth_confidences_list if groundtruth_masks_list: self._groundtruth_lists[ fields.BoxListFields.masks] = groundtruth_masks_list if groundtruth_keypoints_list: self._groundtruth_lists[ fields.BoxListFields.keypoints] = groundtruth_keypoints_list if groundtruth_is_crowd_list: self._groundtruth_lists[ fields.BoxListFields.is_crowd] = groundtruth_is_crowd_list if is_annotated_list: self._groundtruth_lists[ fields.InputDataFields.is_annotated] = is_annotated_list @abc.abstractmethod def regularization_losses(self): """Returns a list of regularization losses for this model. Returns a list of regularization losses for this model that the estimator needs to use during training/optimization. Returns: A list of regularization loss tensors. """ pass @abc.abstractmethod def restore_map(self, fine_tune_checkpoint_type='detection'): """Returns a map of variables to load from a foreign checkpoint. Returns a map of variable names to load from a checkpoint to variables in the model graph. This enables the model to initialize based on weights from another task. For example, the feature extractor variables from a classification model can be used to bootstrap training of an object detector. When loading from an object detection model, the checkpoint model should have the same parameters as this detection model with exception of the num_classes parameter. Args: fine_tune_checkpoint_type: whether to restore from a full detection checkpoint (with compatible variable names) or to restore from a classification checkpoint for initialization prior to training. Valid values: `detection`, `classification`. Default 'detection'. Returns: A dict mapping variable names (to load from a checkpoint) to variables in the model graph. """ pass @abc.abstractmethod def updates(self): """Returns a list of update operators for this model. Returns a list of update operators for this model that must be executed at each training step. The estimator's train op needs to have a control dependency on these updates. Returns: A list of update operators. """ pass
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"""Provides numba bool type or numpy bool type. Type must be declared outside jit'ed function or numba fails. """ import numpy as np from ._is_in_coverage_run import is_in_coverage_run try: import numba as nb except (ImportError, ModuleNotFoundError): jit_numpy_bool_t = np.bool_ else: if is_in_coverage_run(): # when numba disabled for coverage testing, # using nb.types.bool_ causes numpy TypeError jit_numpy_bool_t = np.bool_ else: # pragma: no cover jit_numpy_bool_t = nb.types.bool_
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from wpaudit.providers.aliyun.resources.base import AliyunResources from wpaudit.providers.aliyun.facade.base import AliyunFacade class SecurityPolicy(AliyunResources): def __init__(self, facade: AliyunFacade): super().__init__(facade) async def fetch_all(self): raw_security_policy = await self.facade.ram.get_security_policy() security_policy = self._parse_security_policy(raw_security_policy) self.update(security_policy) def _parse_security_policy(self, raw_security_policy): security_policy_dict = { 'login_network_masks': raw_security_policy.get('LoginProfilePreference', {}).get('LoginNetworkMasks'), 'login_session_duration': raw_security_policy.get('LoginProfilePreference', {}).get('LoginSessionDuration'), 'enable_save_mfa_ticket': raw_security_policy.get('LoginProfilePreference', {}).get('EnableSaveMFATicket'), 'allow_user_change_password': raw_security_policy.get('LoginProfilePreference', {}).get('AllowUserToChangePassword'), 'allow_user_manage_access_keys': raw_security_policy.get('AccessKeyPreference', {}).get('AllowUserToManageAccessKeys'), 'allow_user_manage_mfa_devices': raw_security_policy.get('MFAPreference', {}).get('AllowUserToManageMFADevices'), 'allow_user_manage_public_keys': raw_security_policy.get('PublicKeyPreference', {}).get('AllowUserToManagePublicKeys'), } if security_policy_dict['login_network_masks'] == '': security_policy_dict['login_network_masks'] = None return security_policy_dict
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from __future__ import absolute_import from .adobject import * from .aduser import ADUser from .adcomputer import ADComputer from .adgroup import ADGroup from . import pyadconstants class ADContainer(ADObject): def get_children_iter(self, recursive=False, filter_=None): for com_object in self._ldap_adsi_obj: q = ADObject.from_com_object(com_object) q.adjust_pyad_type() if q.type == 'organizationalUnit' and recursive: for c in q.get_children_iter(recursive=recursive): if not filter_ or c.__class__ in filter_: yield c if not filter_ or q.__class__ in filter_: yield q def get_children(self, recursive=False, filter_=None): "Iterate over the children objects in the container." return list(self.get_children_iter(recursive=recursive, filter_=filter_)) def __create_object(self, type_, name): prefix = 'ou' if type_ == 'organizationalUnit' else 'cn' prefixed_name = '='.join((prefix,name)) return self._ldap_adsi_obj.Create(type_, prefixed_name) def create_user(self, name, password=None, upn_suffix=None, enable=True,optional_attributes={}): """Create a new user object in the container""" try: if not upn_suffix: upn_suffix = self.get_domain().get_default_upn() upn = '@'.join((name, upn_suffix)) obj = self.__create_object('user', name) obj.Put('sAMAccountName', optional_attributes.get('sAMAccountName', name)) obj.Put('userPrincipalName', upn) obj.SetInfo() pyadobj = ADUser.from_com_object(obj) if enable: pyadobj.enable() if password: pyadobj.set_password(password) pyadobj.update_attributes(optional_attributes) return pyadobj except pywintypes.com_error as e: pyadutils.pass_up_com_exception(e) def create_group(self, name, security_enabled=True, scope='GLOBAL', optional_attributes={}): """Create a new group object in the container""" try: obj = self.__create_object('group', name) obj.Put('sAMAccountName',name) val = pyadconstants.ADS_GROUP_TYPE[scope] if security_enabled: val = val | pyadconstants.ADS_GROUP_TYPE['SECURITY_ENABLED'] obj.Put('groupType',val) obj.SetInfo() pyadobj = ADGroup.from_com_object(obj) pyadobj.update_attributes(optional_attributes) return pyadobj except pywintypes.com_error as e: pyadutils.pass_up_com_exception(e) def create_container(self, name, optional_attributes={}): """Create a new organizational unit in the container""" try: obj = self.__create_object('organizationalUnit', name) obj.SetInfo() pyadobj = ADContainer.from_com_object(obj) pyadobj.update_attributes(optional_attributes) return pyadobj except pywintypes.com_error as e: pyadutils.pass_up_com_exception(e) def create_computer(self, name, enable=True,optional_attributes={}): """Create a new computer object in the container""" try: obj = self.__create_object('computer', name) obj.Put('sAMAccountName', name) obj.SetInfo() pyadobj = ADComputer.from_com_object(obj) if enable: pyadobj.enable() pyadobj.update_attributes(optional_attributes) return pyadobj except pywintypes.com_error as e: pyadutils.pass_up_com_exception(e) def remove_child(self, child): """Rremoves the child object from the domain""" self._ldap_adsi_obj.Delete(child.type, child.prefixed_cn) ADObject._py_ad_object_mappings['organizationalUnit'] = ADContainer ADObject._py_ad_object_mappings['container'] = ADContainer
[ "brianna.guest20@gmail.com" ]
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import os import re from names import names startStr = "https://nbviewer.jupyter.org/github/mihai2014/mihai2014.github.io/blob/master" startStr = "" string = "" def traverse_dir(dirName): global string string += '<ul>\n' for item in sorted(os.listdir(dirName)): fullpath = os.path.join(dirName, item) #==folder== if os.path.isdir(fullpath): string += ('<li>%s</li>\n' % item) #==file== else: relativePath = startStr + fullpath string += ('<li><a href="%s">%s</a></li>\n' % (relativePath,item)) if os.path.isdir(fullpath): if os.listdir(fullpath) != []: traverse_dir(fullpath) string += '</ul>\n' traverse_dir('.') #print(string)
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""" CRUD Endpoint API """ from abc import ABC from typing import Mapping, TypeVar, NewType, Union, Sequence, Iterator, Collection import logging import attr Item = TypeVar('Item') ItemID = NewType('ItemID', str) Query = NewType('Query', Mapping) @attr.s class Endpoint(ABC): """ Generic CRUD endpoint API. """ name = attr.ib(type=str, default="Endpoint") ctype = attr.ib(default=None, repr=False) def check(self) -> bool: """Check endpoint health""" raise NotImplementedError # Create def put(self, item: Item, **kwargs) -> ItemID: """Add or replace an item in the collection""" raise NotImplementedError # Retrieve def get(self, item: Union[ItemID, Item], **kwargs) -> Item: """Retrieve item data""" raise NotImplementedError def find(self, query: Query, retrieve: bool=False, **kwargs) -> Union[ItemID, Sequence[ItemID], Item, Sequence[Item]]: """Identify items and optionally retrieve data by query""" raise NotImplementedError def exists(self, item: Union[ItemID, Item, Query]) -> bool: """Check if an item exists by id or query""" logger = logging.getLogger(self.name) logger.debug("Checking exists on {}".format(item)) if isinstance(item, Mapping): return self.find(item) is not None else: try: return self.get(item) is not None except Exception: return False # Update def update(self, item: Union[ItemID, Item], data: Mapping, **kwargs) -> ItemID: """Update data for an item in the endpoint""" raise NotImplementedError def handle(self, item: Union[ItemID, Item], method: str, *args, **kwargs): """Call a class-specific method""" func = self.__getattribute__(method) return func(item, *args, **kwargs) # Delete def delete(self, item: Union[ItemID, Item], **kwargs) -> bool: """Remove an item from the endpoint""" raise NotImplementedError @attr.s class BroadcastingEndpoint(Endpoint): eps = attr.ib(type=Iterator[Endpoint], default=None) def put(self, item: Item, **kwargs): for ep in self.eps: ep.put(item, **kwargs) @attr.s class SelectiveEndpoint(Endpoint): eps = attr.ib(type=Collection[Endpoint], default=None) def put(self, item: Item, selector=None, **kwargs): ep = self.eps[selector] ep.put(item, **kwargs)
[ "derek_merck@brown.edu" ]
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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** 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 from . import outputs from ._enums import * from ._inputs import * __all__ = ['ManagedInstanceArgs', 'ManagedInstance'] @pulumi.input_type class ManagedInstanceArgs: def __init__(__self__, *, resource_group_name: pulumi.Input[str], administrator_login: Optional[pulumi.Input[str]] = None, administrator_login_password: Optional[pulumi.Input[str]] = None, collation: Optional[pulumi.Input[str]] = None, dns_zone_partner: Optional[pulumi.Input[str]] = None, identity: Optional[pulumi.Input['ResourceIdentityArgs']] = None, instance_pool_id: Optional[pulumi.Input[str]] = None, license_type: Optional[pulumi.Input[Union[str, 'ManagedInstanceLicenseType']]] = None, location: Optional[pulumi.Input[str]] = None, maintenance_configuration_id: Optional[pulumi.Input[str]] = None, managed_instance_create_mode: Optional[pulumi.Input[Union[str, 'ManagedServerCreateMode']]] = None, managed_instance_name: Optional[pulumi.Input[str]] = None, minimal_tls_version: Optional[pulumi.Input[str]] = None, proxy_override: Optional[pulumi.Input[Union[str, 'ManagedInstanceProxyOverride']]] = None, public_data_endpoint_enabled: Optional[pulumi.Input[bool]] = None, restore_point_in_time: Optional[pulumi.Input[str]] = None, sku: Optional[pulumi.Input['SkuArgs']] = None, source_managed_instance_id: Optional[pulumi.Input[str]] = None, storage_size_in_gb: Optional[pulumi.Input[int]] = None, subnet_id: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, timezone_id: Optional[pulumi.Input[str]] = None, v_cores: Optional[pulumi.Input[int]] = None): """ The set of arguments for constructing a ManagedInstance resource. :param pulumi.Input[str] resource_group_name: The name of the resource group that contains the resource. You can obtain this value from the Azure Resource Manager API or the portal. :param pulumi.Input[str] administrator_login: Administrator username for the managed instance. Can only be specified when the managed instance is being created (and is required for creation). :param pulumi.Input[str] administrator_login_password: The administrator login password (required for managed instance creation). :param pulumi.Input[str] collation: Collation of the managed instance. :param pulumi.Input[str] dns_zone_partner: The resource id of another managed instance whose DNS zone this managed instance will share after creation. :param pulumi.Input['ResourceIdentityArgs'] identity: The Azure Active Directory identity of the managed instance. :param pulumi.Input[str] instance_pool_id: The Id of the instance pool this managed server belongs to. :param pulumi.Input[Union[str, 'ManagedInstanceLicenseType']] license_type: The license type. Possible values are 'LicenseIncluded' (regular price inclusive of a new SQL license) and 'BasePrice' (discounted AHB price for bringing your own SQL licenses). :param pulumi.Input[str] location: Resource location. :param pulumi.Input[str] maintenance_configuration_id: Specifies maintenance configuration id to apply to this managed instance. :param pulumi.Input[Union[str, 'ManagedServerCreateMode']] managed_instance_create_mode: Specifies the mode of database creation. Default: Regular instance creation. Restore: Creates an instance by restoring a set of backups to specific point in time. RestorePointInTime and SourceManagedInstanceId must be specified. :param pulumi.Input[str] managed_instance_name: The name of the managed instance. :param pulumi.Input[str] minimal_tls_version: Minimal TLS version. Allowed values: 'None', '1.0', '1.1', '1.2' :param pulumi.Input[Union[str, 'ManagedInstanceProxyOverride']] proxy_override: Connection type used for connecting to the instance. :param pulumi.Input[bool] public_data_endpoint_enabled: Whether or not the public data endpoint is enabled. :param pulumi.Input[str] restore_point_in_time: Specifies the point in time (ISO8601 format) of the source database that will be restored to create the new database. :param pulumi.Input['SkuArgs'] sku: Managed instance SKU. Allowed values for sku.name: GP_Gen4, GP_Gen5, BC_Gen4, BC_Gen5 :param pulumi.Input[str] source_managed_instance_id: The resource identifier of the source managed instance associated with create operation of this instance. :param pulumi.Input[int] storage_size_in_gb: Storage size in GB. Minimum value: 32. Maximum value: 8192. Increments of 32 GB allowed only. :param pulumi.Input[str] subnet_id: Subnet resource ID for the managed instance. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Resource tags. :param pulumi.Input[str] timezone_id: Id of the timezone. Allowed values are timezones supported by Windows. Windows keeps details on supported timezones, including the id, in registry under KEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Time Zones. You can get those registry values via SQL Server by querying SELECT name AS timezone_id FROM sys.time_zone_info. List of Ids can also be obtained by executing [System.TimeZoneInfo]::GetSystemTimeZones() in PowerShell. An example of valid timezone id is "Pacific Standard Time" or "W. Europe Standard Time". :param pulumi.Input[int] v_cores: The number of vCores. Allowed values: 8, 16, 24, 32, 40, 64, 80. """ pulumi.set(__self__, "resource_group_name", resource_group_name) if administrator_login is not None: pulumi.set(__self__, "administrator_login", administrator_login) if administrator_login_password is not None: pulumi.set(__self__, "administrator_login_password", administrator_login_password) if collation is not None: pulumi.set(__self__, "collation", collation) if dns_zone_partner is not None: pulumi.set(__self__, "dns_zone_partner", dns_zone_partner) if identity is not None: pulumi.set(__self__, "identity", identity) if instance_pool_id is not None: pulumi.set(__self__, "instance_pool_id", instance_pool_id) if license_type is not None: pulumi.set(__self__, "license_type", license_type) if location is not None: pulumi.set(__self__, "location", location) if maintenance_configuration_id is not None: pulumi.set(__self__, "maintenance_configuration_id", maintenance_configuration_id) if managed_instance_create_mode is not None: pulumi.set(__self__, "managed_instance_create_mode", managed_instance_create_mode) if managed_instance_name is not None: pulumi.set(__self__, "managed_instance_name", managed_instance_name) if minimal_tls_version is not None: pulumi.set(__self__, "minimal_tls_version", minimal_tls_version) if proxy_override is not None: pulumi.set(__self__, "proxy_override", proxy_override) if public_data_endpoint_enabled is not None: pulumi.set(__self__, "public_data_endpoint_enabled", public_data_endpoint_enabled) if restore_point_in_time is not None: pulumi.set(__self__, "restore_point_in_time", restore_point_in_time) if sku is not None: pulumi.set(__self__, "sku", sku) if source_managed_instance_id is not None: pulumi.set(__self__, "source_managed_instance_id", source_managed_instance_id) if storage_size_in_gb is not None: pulumi.set(__self__, "storage_size_in_gb", storage_size_in_gb) if subnet_id is not None: pulumi.set(__self__, "subnet_id", subnet_id) if tags is not None: pulumi.set(__self__, "tags", tags) if timezone_id is not None: pulumi.set(__self__, "timezone_id", timezone_id) if v_cores is not None: pulumi.set(__self__, "v_cores", v_cores) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Input[str]: """ The name of the resource group that contains the resource. You can obtain this value from the Azure Resource Manager API or the portal. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="administratorLogin") def administrator_login(self) -> Optional[pulumi.Input[str]]: """ Administrator username for the managed instance. Can only be specified when the managed instance is being created (and is required for creation). """ return pulumi.get(self, "administrator_login") @administrator_login.setter def administrator_login(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "administrator_login", value) @property @pulumi.getter(name="administratorLoginPassword") def administrator_login_password(self) -> Optional[pulumi.Input[str]]: """ The administrator login password (required for managed instance creation). """ return pulumi.get(self, "administrator_login_password") @administrator_login_password.setter def administrator_login_password(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "administrator_login_password", value) @property @pulumi.getter def collation(self) -> Optional[pulumi.Input[str]]: """ Collation of the managed instance. """ return pulumi.get(self, "collation") @collation.setter def collation(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "collation", value) @property @pulumi.getter(name="dnsZonePartner") def dns_zone_partner(self) -> Optional[pulumi.Input[str]]: """ The resource id of another managed instance whose DNS zone this managed instance will share after creation. """ return pulumi.get(self, "dns_zone_partner") @dns_zone_partner.setter def dns_zone_partner(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "dns_zone_partner", value) @property @pulumi.getter def identity(self) -> Optional[pulumi.Input['ResourceIdentityArgs']]: """ The Azure Active Directory identity of the managed instance. """ return pulumi.get(self, "identity") @identity.setter def identity(self, value: Optional[pulumi.Input['ResourceIdentityArgs']]): pulumi.set(self, "identity", value) @property @pulumi.getter(name="instancePoolId") def instance_pool_id(self) -> Optional[pulumi.Input[str]]: """ The Id of the instance pool this managed server belongs to. """ return pulumi.get(self, "instance_pool_id") @instance_pool_id.setter def instance_pool_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "instance_pool_id", value) @property @pulumi.getter(name="licenseType") def license_type(self) -> Optional[pulumi.Input[Union[str, 'ManagedInstanceLicenseType']]]: """ The license type. Possible values are 'LicenseIncluded' (regular price inclusive of a new SQL license) and 'BasePrice' (discounted AHB price for bringing your own SQL licenses). """ return pulumi.get(self, "license_type") @license_type.setter def license_type(self, value: Optional[pulumi.Input[Union[str, 'ManagedInstanceLicenseType']]]): pulumi.set(self, "license_type", value) @property @pulumi.getter def location(self) -> Optional[pulumi.Input[str]]: """ Resource location. """ return pulumi.get(self, "location") @location.setter def location(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "location", value) @property @pulumi.getter(name="maintenanceConfigurationId") def maintenance_configuration_id(self) -> Optional[pulumi.Input[str]]: """ Specifies maintenance configuration id to apply to this managed instance. """ return pulumi.get(self, "maintenance_configuration_id") @maintenance_configuration_id.setter def maintenance_configuration_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "maintenance_configuration_id", value) @property @pulumi.getter(name="managedInstanceCreateMode") def managed_instance_create_mode(self) -> Optional[pulumi.Input[Union[str, 'ManagedServerCreateMode']]]: """ Specifies the mode of database creation. Default: Regular instance creation. Restore: Creates an instance by restoring a set of backups to specific point in time. RestorePointInTime and SourceManagedInstanceId must be specified. """ return pulumi.get(self, "managed_instance_create_mode") @managed_instance_create_mode.setter def managed_instance_create_mode(self, value: Optional[pulumi.Input[Union[str, 'ManagedServerCreateMode']]]): pulumi.set(self, "managed_instance_create_mode", value) @property @pulumi.getter(name="managedInstanceName") def managed_instance_name(self) -> Optional[pulumi.Input[str]]: """ The name of the managed instance. """ return pulumi.get(self, "managed_instance_name") @managed_instance_name.setter def managed_instance_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "managed_instance_name", value) @property @pulumi.getter(name="minimalTlsVersion") def minimal_tls_version(self) -> Optional[pulumi.Input[str]]: """ Minimal TLS version. Allowed values: 'None', '1.0', '1.1', '1.2' """ return pulumi.get(self, "minimal_tls_version") @minimal_tls_version.setter def minimal_tls_version(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "minimal_tls_version", value) @property @pulumi.getter(name="proxyOverride") def proxy_override(self) -> Optional[pulumi.Input[Union[str, 'ManagedInstanceProxyOverride']]]: """ Connection type used for connecting to the instance. """ return pulumi.get(self, "proxy_override") @proxy_override.setter def proxy_override(self, value: Optional[pulumi.Input[Union[str, 'ManagedInstanceProxyOverride']]]): pulumi.set(self, "proxy_override", value) @property @pulumi.getter(name="publicDataEndpointEnabled") def public_data_endpoint_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether or not the public data endpoint is enabled. """ return pulumi.get(self, "public_data_endpoint_enabled") @public_data_endpoint_enabled.setter def public_data_endpoint_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "public_data_endpoint_enabled", value) @property @pulumi.getter(name="restorePointInTime") def restore_point_in_time(self) -> Optional[pulumi.Input[str]]: """ Specifies the point in time (ISO8601 format) of the source database that will be restored to create the new database. """ return pulumi.get(self, "restore_point_in_time") @restore_point_in_time.setter def restore_point_in_time(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "restore_point_in_time", value) @property @pulumi.getter def sku(self) -> Optional[pulumi.Input['SkuArgs']]: """ Managed instance SKU. Allowed values for sku.name: GP_Gen4, GP_Gen5, BC_Gen4, BC_Gen5 """ return pulumi.get(self, "sku") @sku.setter def sku(self, value: Optional[pulumi.Input['SkuArgs']]): pulumi.set(self, "sku", value) @property @pulumi.getter(name="sourceManagedInstanceId") def source_managed_instance_id(self) -> Optional[pulumi.Input[str]]: """ The resource identifier of the source managed instance associated with create operation of this instance. """ return pulumi.get(self, "source_managed_instance_id") @source_managed_instance_id.setter def source_managed_instance_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "source_managed_instance_id", value) @property @pulumi.getter(name="storageSizeInGB") def storage_size_in_gb(self) -> Optional[pulumi.Input[int]]: """ Storage size in GB. Minimum value: 32. Maximum value: 8192. Increments of 32 GB allowed only. """ return pulumi.get(self, "storage_size_in_gb") @storage_size_in_gb.setter def storage_size_in_gb(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "storage_size_in_gb", value) @property @pulumi.getter(name="subnetId") def subnet_id(self) -> Optional[pulumi.Input[str]]: """ Subnet resource ID for the managed instance. """ return pulumi.get(self, "subnet_id") @subnet_id.setter def subnet_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "subnet_id", value) @property @pulumi.getter def tags(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ Resource tags. """ return pulumi.get(self, "tags") @tags.setter def tags(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "tags", value) @property @pulumi.getter(name="timezoneId") def timezone_id(self) -> Optional[pulumi.Input[str]]: """ Id of the timezone. Allowed values are timezones supported by Windows. Windows keeps details on supported timezones, including the id, in registry under KEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Time Zones. You can get those registry values via SQL Server by querying SELECT name AS timezone_id FROM sys.time_zone_info. List of Ids can also be obtained by executing [System.TimeZoneInfo]::GetSystemTimeZones() in PowerShell. An example of valid timezone id is "Pacific Standard Time" or "W. Europe Standard Time". """ return pulumi.get(self, "timezone_id") @timezone_id.setter def timezone_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "timezone_id", value) @property @pulumi.getter(name="vCores") def v_cores(self) -> Optional[pulumi.Input[int]]: """ The number of vCores. Allowed values: 8, 16, 24, 32, 40, 64, 80. """ return pulumi.get(self, "v_cores") @v_cores.setter def v_cores(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "v_cores", value) class ManagedInstance(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, administrator_login: Optional[pulumi.Input[str]] = None, administrator_login_password: Optional[pulumi.Input[str]] = None, collation: Optional[pulumi.Input[str]] = None, dns_zone_partner: Optional[pulumi.Input[str]] = None, identity: Optional[pulumi.Input[pulumi.InputType['ResourceIdentityArgs']]] = None, instance_pool_id: Optional[pulumi.Input[str]] = None, license_type: Optional[pulumi.Input[Union[str, 'ManagedInstanceLicenseType']]] = None, location: Optional[pulumi.Input[str]] = None, maintenance_configuration_id: Optional[pulumi.Input[str]] = None, managed_instance_create_mode: Optional[pulumi.Input[Union[str, 'ManagedServerCreateMode']]] = None, managed_instance_name: Optional[pulumi.Input[str]] = None, minimal_tls_version: Optional[pulumi.Input[str]] = None, proxy_override: Optional[pulumi.Input[Union[str, 'ManagedInstanceProxyOverride']]] = None, public_data_endpoint_enabled: Optional[pulumi.Input[bool]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, restore_point_in_time: Optional[pulumi.Input[str]] = None, sku: Optional[pulumi.Input[pulumi.InputType['SkuArgs']]] = None, source_managed_instance_id: Optional[pulumi.Input[str]] = None, storage_size_in_gb: Optional[pulumi.Input[int]] = None, subnet_id: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, timezone_id: Optional[pulumi.Input[str]] = None, v_cores: Optional[pulumi.Input[int]] = None, __props__=None): """ An Azure SQL managed instance. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] administrator_login: Administrator username for the managed instance. Can only be specified when the managed instance is being created (and is required for creation). :param pulumi.Input[str] administrator_login_password: The administrator login password (required for managed instance creation). :param pulumi.Input[str] collation: Collation of the managed instance. :param pulumi.Input[str] dns_zone_partner: The resource id of another managed instance whose DNS zone this managed instance will share after creation. :param pulumi.Input[pulumi.InputType['ResourceIdentityArgs']] identity: The Azure Active Directory identity of the managed instance. :param pulumi.Input[str] instance_pool_id: The Id of the instance pool this managed server belongs to. :param pulumi.Input[Union[str, 'ManagedInstanceLicenseType']] license_type: The license type. Possible values are 'LicenseIncluded' (regular price inclusive of a new SQL license) and 'BasePrice' (discounted AHB price for bringing your own SQL licenses). :param pulumi.Input[str] location: Resource location. :param pulumi.Input[str] maintenance_configuration_id: Specifies maintenance configuration id to apply to this managed instance. :param pulumi.Input[Union[str, 'ManagedServerCreateMode']] managed_instance_create_mode: Specifies the mode of database creation. Default: Regular instance creation. Restore: Creates an instance by restoring a set of backups to specific point in time. RestorePointInTime and SourceManagedInstanceId must be specified. :param pulumi.Input[str] managed_instance_name: The name of the managed instance. :param pulumi.Input[str] minimal_tls_version: Minimal TLS version. Allowed values: 'None', '1.0', '1.1', '1.2' :param pulumi.Input[Union[str, 'ManagedInstanceProxyOverride']] proxy_override: Connection type used for connecting to the instance. :param pulumi.Input[bool] public_data_endpoint_enabled: Whether or not the public data endpoint is enabled. :param pulumi.Input[str] resource_group_name: The name of the resource group that contains the resource. You can obtain this value from the Azure Resource Manager API or the portal. :param pulumi.Input[str] restore_point_in_time: Specifies the point in time (ISO8601 format) of the source database that will be restored to create the new database. :param pulumi.Input[pulumi.InputType['SkuArgs']] sku: Managed instance SKU. Allowed values for sku.name: GP_Gen4, GP_Gen5, BC_Gen4, BC_Gen5 :param pulumi.Input[str] source_managed_instance_id: The resource identifier of the source managed instance associated with create operation of this instance. :param pulumi.Input[int] storage_size_in_gb: Storage size in GB. Minimum value: 32. Maximum value: 8192. Increments of 32 GB allowed only. :param pulumi.Input[str] subnet_id: Subnet resource ID for the managed instance. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] tags: Resource tags. :param pulumi.Input[str] timezone_id: Id of the timezone. Allowed values are timezones supported by Windows. Windows keeps details on supported timezones, including the id, in registry under KEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Time Zones. You can get those registry values via SQL Server by querying SELECT name AS timezone_id FROM sys.time_zone_info. List of Ids can also be obtained by executing [System.TimeZoneInfo]::GetSystemTimeZones() in PowerShell. An example of valid timezone id is "Pacific Standard Time" or "W. Europe Standard Time". :param pulumi.Input[int] v_cores: The number of vCores. Allowed values: 8, 16, 24, 32, 40, 64, 80. """ ... @overload def __init__(__self__, resource_name: str, args: ManagedInstanceArgs, opts: Optional[pulumi.ResourceOptions] = None): """ An Azure SQL managed instance. :param str resource_name: The name of the resource. :param ManagedInstanceArgs 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(ManagedInstanceArgs, 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, administrator_login: Optional[pulumi.Input[str]] = None, administrator_login_password: Optional[pulumi.Input[str]] = None, collation: Optional[pulumi.Input[str]] = None, dns_zone_partner: Optional[pulumi.Input[str]] = None, identity: Optional[pulumi.Input[pulumi.InputType['ResourceIdentityArgs']]] = None, instance_pool_id: Optional[pulumi.Input[str]] = None, license_type: Optional[pulumi.Input[Union[str, 'ManagedInstanceLicenseType']]] = None, location: Optional[pulumi.Input[str]] = None, maintenance_configuration_id: Optional[pulumi.Input[str]] = None, managed_instance_create_mode: Optional[pulumi.Input[Union[str, 'ManagedServerCreateMode']]] = None, managed_instance_name: Optional[pulumi.Input[str]] = None, minimal_tls_version: Optional[pulumi.Input[str]] = None, proxy_override: Optional[pulumi.Input[Union[str, 'ManagedInstanceProxyOverride']]] = None, public_data_endpoint_enabled: Optional[pulumi.Input[bool]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, restore_point_in_time: Optional[pulumi.Input[str]] = None, sku: Optional[pulumi.Input[pulumi.InputType['SkuArgs']]] = None, source_managed_instance_id: Optional[pulumi.Input[str]] = None, storage_size_in_gb: Optional[pulumi.Input[int]] = None, subnet_id: Optional[pulumi.Input[str]] = None, tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, timezone_id: Optional[pulumi.Input[str]] = None, v_cores: Optional[pulumi.Input[int]] = 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__ = ManagedInstanceArgs.__new__(ManagedInstanceArgs) __props__.__dict__["administrator_login"] = administrator_login __props__.__dict__["administrator_login_password"] = administrator_login_password __props__.__dict__["collation"] = collation __props__.__dict__["dns_zone_partner"] = dns_zone_partner __props__.__dict__["identity"] = identity __props__.__dict__["instance_pool_id"] = instance_pool_id __props__.__dict__["license_type"] = license_type __props__.__dict__["location"] = location __props__.__dict__["maintenance_configuration_id"] = maintenance_configuration_id __props__.__dict__["managed_instance_create_mode"] = managed_instance_create_mode __props__.__dict__["managed_instance_name"] = managed_instance_name __props__.__dict__["minimal_tls_version"] = minimal_tls_version __props__.__dict__["proxy_override"] = proxy_override __props__.__dict__["public_data_endpoint_enabled"] = public_data_endpoint_enabled if resource_group_name is None and not opts.urn: raise TypeError("Missing required property 'resource_group_name'") __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["restore_point_in_time"] = restore_point_in_time __props__.__dict__["sku"] = sku __props__.__dict__["source_managed_instance_id"] = source_managed_instance_id __props__.__dict__["storage_size_in_gb"] = storage_size_in_gb __props__.__dict__["subnet_id"] = subnet_id __props__.__dict__["tags"] = tags __props__.__dict__["timezone_id"] = timezone_id __props__.__dict__["v_cores"] = v_cores __props__.__dict__["dns_zone"] = None __props__.__dict__["fully_qualified_domain_name"] = None __props__.__dict__["name"] = None __props__.__dict__["state"] = None __props__.__dict__["type"] = None alias_opts = pulumi.ResourceOptions(aliases=[pulumi.Alias(type_="azure-nextgen:sql/v20180601preview:ManagedInstance"), pulumi.Alias(type_="azure-native:sql:ManagedInstance"), pulumi.Alias(type_="azure-nextgen:sql:ManagedInstance"), pulumi.Alias(type_="azure-native:sql/v20150501preview:ManagedInstance"), pulumi.Alias(type_="azure-nextgen:sql/v20150501preview:ManagedInstance"), pulumi.Alias(type_="azure-native:sql/v20200202preview:ManagedInstance"), pulumi.Alias(type_="azure-nextgen:sql/v20200202preview:ManagedInstance"), pulumi.Alias(type_="azure-native:sql/v20200801preview:ManagedInstance"), pulumi.Alias(type_="azure-nextgen:sql/v20200801preview:ManagedInstance"), pulumi.Alias(type_="azure-native:sql/v20201101preview:ManagedInstance"), pulumi.Alias(type_="azure-nextgen:sql/v20201101preview:ManagedInstance"), pulumi.Alias(type_="azure-native:sql/v20210201preview:ManagedInstance"), pulumi.Alias(type_="azure-nextgen:sql/v20210201preview:ManagedInstance"), pulumi.Alias(type_="azure-native:sql/v20210501preview:ManagedInstance"), pulumi.Alias(type_="azure-nextgen:sql/v20210501preview:ManagedInstance")]) opts = pulumi.ResourceOptions.merge(opts, alias_opts) super(ManagedInstance, __self__).__init__( 'azure-native:sql/v20180601preview:ManagedInstance', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None) -> 'ManagedInstance': """ Get an existing ManagedInstance 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. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = ManagedInstanceArgs.__new__(ManagedInstanceArgs) __props__.__dict__["administrator_login"] = None __props__.__dict__["collation"] = None __props__.__dict__["dns_zone"] = None __props__.__dict__["fully_qualified_domain_name"] = None __props__.__dict__["identity"] = None __props__.__dict__["instance_pool_id"] = None __props__.__dict__["license_type"] = None __props__.__dict__["location"] = None __props__.__dict__["maintenance_configuration_id"] = None __props__.__dict__["minimal_tls_version"] = None __props__.__dict__["name"] = None __props__.__dict__["proxy_override"] = None __props__.__dict__["public_data_endpoint_enabled"] = None __props__.__dict__["sku"] = None __props__.__dict__["state"] = None __props__.__dict__["storage_size_in_gb"] = None __props__.__dict__["subnet_id"] = None __props__.__dict__["tags"] = None __props__.__dict__["timezone_id"] = None __props__.__dict__["type"] = None __props__.__dict__["v_cores"] = None return ManagedInstance(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="administratorLogin") def administrator_login(self) -> pulumi.Output[Optional[str]]: """ Administrator username for the managed instance. Can only be specified when the managed instance is being created (and is required for creation). """ return pulumi.get(self, "administrator_login") @property @pulumi.getter def collation(self) -> pulumi.Output[Optional[str]]: """ Collation of the managed instance. """ return pulumi.get(self, "collation") @property @pulumi.getter(name="dnsZone") def dns_zone(self) -> pulumi.Output[str]: """ The Dns Zone that the managed instance is in. """ return pulumi.get(self, "dns_zone") @property @pulumi.getter(name="fullyQualifiedDomainName") def fully_qualified_domain_name(self) -> pulumi.Output[str]: """ The fully qualified domain name of the managed instance. """ return pulumi.get(self, "fully_qualified_domain_name") @property @pulumi.getter def identity(self) -> pulumi.Output[Optional['outputs.ResourceIdentityResponse']]: """ The Azure Active Directory identity of the managed instance. """ return pulumi.get(self, "identity") @property @pulumi.getter(name="instancePoolId") def instance_pool_id(self) -> pulumi.Output[Optional[str]]: """ The Id of the instance pool this managed server belongs to. """ return pulumi.get(self, "instance_pool_id") @property @pulumi.getter(name="licenseType") def license_type(self) -> pulumi.Output[Optional[str]]: """ The license type. Possible values are 'LicenseIncluded' (regular price inclusive of a new SQL license) and 'BasePrice' (discounted AHB price for bringing your own SQL licenses). """ return pulumi.get(self, "license_type") @property @pulumi.getter def location(self) -> pulumi.Output[str]: """ Resource location. """ return pulumi.get(self, "location") @property @pulumi.getter(name="maintenanceConfigurationId") def maintenance_configuration_id(self) -> pulumi.Output[Optional[str]]: """ Specifies maintenance configuration id to apply to this managed instance. """ return pulumi.get(self, "maintenance_configuration_id") @property @pulumi.getter(name="minimalTlsVersion") def minimal_tls_version(self) -> pulumi.Output[Optional[str]]: """ Minimal TLS version. Allowed values: 'None', '1.0', '1.1', '1.2' """ return pulumi.get(self, "minimal_tls_version") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ Resource name. """ return pulumi.get(self, "name") @property @pulumi.getter(name="proxyOverride") def proxy_override(self) -> pulumi.Output[Optional[str]]: """ Connection type used for connecting to the instance. """ return pulumi.get(self, "proxy_override") @property @pulumi.getter(name="publicDataEndpointEnabled") def public_data_endpoint_enabled(self) -> pulumi.Output[Optional[bool]]: """ Whether or not the public data endpoint is enabled. """ return pulumi.get(self, "public_data_endpoint_enabled") @property @pulumi.getter def sku(self) -> pulumi.Output[Optional['outputs.SkuResponse']]: """ Managed instance SKU. Allowed values for sku.name: GP_Gen4, GP_Gen5, BC_Gen4, BC_Gen5 """ return pulumi.get(self, "sku") @property @pulumi.getter def state(self) -> pulumi.Output[str]: """ The state of the managed instance. """ return pulumi.get(self, "state") @property @pulumi.getter(name="storageSizeInGB") def storage_size_in_gb(self) -> pulumi.Output[Optional[int]]: """ Storage size in GB. Minimum value: 32. Maximum value: 8192. Increments of 32 GB allowed only. """ return pulumi.get(self, "storage_size_in_gb") @property @pulumi.getter(name="subnetId") def subnet_id(self) -> pulumi.Output[Optional[str]]: """ Subnet resource ID for the managed instance. """ return pulumi.get(self, "subnet_id") @property @pulumi.getter def tags(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ Resource tags. """ return pulumi.get(self, "tags") @property @pulumi.getter(name="timezoneId") def timezone_id(self) -> pulumi.Output[Optional[str]]: """ Id of the timezone. Allowed values are timezones supported by Windows. Windows keeps details on supported timezones, including the id, in registry under KEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Time Zones. You can get those registry values via SQL Server by querying SELECT name AS timezone_id FROM sys.time_zone_info. List of Ids can also be obtained by executing [System.TimeZoneInfo]::GetSystemTimeZones() in PowerShell. An example of valid timezone id is "Pacific Standard Time" or "W. Europe Standard Time". """ return pulumi.get(self, "timezone_id") @property @pulumi.getter def type(self) -> pulumi.Output[str]: """ Resource type. """ return pulumi.get(self, "type") @property @pulumi.getter(name="vCores") def v_cores(self) -> pulumi.Output[Optional[int]]: """ The number of vCores. Allowed values: 8, 16, 24, 32, 40, 64, 80. """ return pulumi.get(self, "v_cores")
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jpchato/data-structures-and-algorithms-python
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2020-05-12T00:08:48
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import pytest from graph import Graph, Vertex # 1. Node(vertex) can be successfully added to the graph def test_add_vertex(): g = Graph() expected = 'spam' vertex = g.add_vertex('spam') actual = vertex.value assert actual == expected # 2. An edge can be successfully added to the graph def test_add_edge(): g = Graph() apples = g.add_vertex('apples') bananas = g.add_vertex('bananas') g.add_edge(apples, bananas) assert True, ('will be fully exercised in get_neighbors tests') def test_add_edge_interloper(): g = Graph() insider = g.add_vertex('insider') outsider = Vertex('outsider') with pytest.raises(KeyError): g.add_edge(outsider, insider) # 3. A collection of all nodes can be properly retrieved from the graph def test_get_vertices(): # returns a collection of all vertices g = Graph() apples = g.add_vertex('apples') bananas = g.add_vertex('bananas') actual = g.get_vertices() assert len(actual) == 2 # 4. All appropriate neighbors can be retrieved from the graph def test_get_neighbors(): g = Graph() apple = g.add_vertex('apple') banana = g.add_vertex('banana') g.add_edge(apple, banana) neighbors = g.get_neighbors(apple) assert len(neighbors) == 1 print('neighbors', neighbors) neighbor = neighbors[0] assert neighbors[0].vertex.value == 'banana' assert neighbor.weight == 1 # 6. The proper size is returned, representing the number of nodes in the graph def test_get_size(): g = Graph() apple = g.add_vertex('apple') banana = g.add_vertex('banana') assert len(g) == 2 # 8. An empty graph properly returns null def test_size_empty(): g = Graph() expected = 0 actual = len(g) assert actual == expected
[ "jpchato@gmail.com" ]
jpchato@gmail.com
da54eaf11a2245398f65e46f3a8f604039b36659
30150c7f6ed7a10ac50eee3f40101bc3165ebf9e
/src/catalog/CatalogNotifyDialog.py
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[]
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toontown-restoration-project/toontown
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from direct.directnotify import DirectNotifyGlobal from toontown.toonbase import ToontownGlobals from toontown.toonbase import TTLocalizer from direct.gui.DirectGui import * from toontown.toonbase.ToontownModules import * class CatalogNotifyDialog: """CatalogNotifyDialog: Pops up to tell you when you have a new catalog, or a new delivery from the catalog. """ notify = DirectNotifyGlobal.directNotify.newCategory("CatalogNotifyDialog") def __init__(self, message): self.message = message self.messageIndex = 0 framePosX = 0.40 from toontown.toon import LocalToon # import here to stop cyclic import if LocalToon.WantNewsPage: framePosX += LocalToon.AdjustmentForNewsButton self.frame = DirectFrame( relief = None, image = DGG.getDefaultDialogGeom(), image_color = ToontownGlobals.GlobalDialogColor, image_scale = (1.2, 1.0, 0.4), text = message[0], text_wordwrap = 16, text_scale = 0.06, text_pos = (-0.1, 0.1), pos = (framePosX, 0, 0.78), ) buttons = loader.loadModel( 'phase_3/models/gui/dialog_box_buttons_gui') cancelImageList = (buttons.find('**/CloseBtn_UP'), buttons.find('**/CloseBtn_DN'), buttons.find('**/CloseBtn_Rllvr')) okImageList = (buttons.find('**/ChtBx_OKBtn_UP'), buttons.find('**/ChtBx_OKBtn_DN'), buttons.find('**/ChtBx_OKBtn_Rllvr')) self.nextButton = DirectButton( parent = self.frame, relief = None, image = okImageList, command = self.handleButton, pos = (0, 0, -0.14), ) self.doneButton = DirectButton( parent = self.frame, relief = None, image = cancelImageList, command = self.handleButton, pos = (0, 0, -0.14), ) if len(message) == 1: self.nextButton.hide() else: self.doneButton.hide() def handleButton(self): self.messageIndex += 1 if self.messageIndex >= len(self.message): # That was the last message. self.cleanup() return # There's more text to display. self.frame['text'] = self.message[self.messageIndex] if self.messageIndex + 1 == len(self.message): # That's the last message. self.nextButton.hide() self.doneButton.show() def cleanup(self): """cleanup(self): Cancels any pending request and removes the panel from the screen, unanswered. """ if self.frame: self.frame.destroy() self.frame = None if self.nextButton: self.nextButton.destroy() self.nextButton = None if self.doneButton: self.doneButton.destroy() self.doneButton = None def __handleButton(self, value): self.cleanup()
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brianlach72@gmail.com
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/toontown/src/coghq/DistributedStageBattle.py
ec71350320aa213743339055c2aa1ec8c3b1e6aa
[]
no_license
satire6/Anesidora
da3a44e2a49b85252b87b612b435fb4970469583
0e7bfc1fe29fd595df0b982e40f94c30befb1ec7
refs/heads/master
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from pandac.PandaModules import * from direct.interval.IntervalGlobal import * from toontown.battle.BattleBase import * from toontown.coghq import DistributedLevelBattle from direct.directnotify import DirectNotifyGlobal from toontown.toon import TTEmote from otp.avatar import Emote from toontown.battle import SuitBattleGlobals import random from toontown.suit import SuitDNA from direct.fsm import State from direct.fsm import ClassicFSM, State from toontown.toonbase import ToontownGlobals class DistributedStageBattle(DistributedLevelBattle.DistributedLevelBattle): notify = DirectNotifyGlobal.directNotify.newCategory('DistributedStageBattle') def __init__(self, cr): """ cr is a ClientRepository. """ DistributedLevelBattle.DistributedLevelBattle.__init__(self,cr) # Add a new reward state to the battle ClassicFSM self.fsm.addState(State.State('StageReward', self.enterStageReward, self.exitStageReward, ['Resume'])) offState = self.fsm.getStateNamed('Off') offState.addTransition('StageReward') playMovieState = self.fsm.getStateNamed('PlayMovie') playMovieState.addTransition('StageReward') ##### StageReward state ##### def enterStageReward(self, ts): self.notify.debug('enterStageReward()') self.disableCollision() self.delayDeleteMembers() if (self.hasLocalToon()): NametagGlobals.setMasterArrowsOn(0) if self.bossBattle: messenger.send('localToonConfrontedStageBoss') self.movie.playReward(ts, self.uniqueName('building-reward'), self.__handleStageRewardDone) def __handleStageRewardDone(self): self.notify.debug('stage reward done') if (self.hasLocalToon()): self.d_rewardDone(base.localAvatar.doId) self.movie.resetReward() # Now request our local battle object enter the Resume state, # which frees us from the battle. The distributed object may # not enter the Resume state yet (it has to wait until all the # toons involved have reported back up), but there's no reason # we have to wait around for that. self.fsm.request('Resume') def exitStageReward(self): self.notify.debug('exitStageReward()') # In case we're observing and the server cuts us off # this guarantees all final animations get started and things # get cleaned up self.movie.resetReward(finish=1) self._removeMembersKeep() NametagGlobals.setMasterArrowsOn(1)
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66761962+satire6@users.noreply.github.com
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/19/01/1.py
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pylangstudy/201711
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be6222dde61373f67d25a2c926868b602463c5cc
refs/heads/master
2022-11-13T22:11:52.127874
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import argparse parser = argparse.ArgumentParser(prog='PROG') parser.add_argument('--foo', nargs='?', help='foo help') parser.add_argument('bar', nargs='+', help='bar help') parser.print_help()
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/tests/test_readthedocs_links.py
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[]
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ThreatConnect-Inc/threatconnect-developer-docs
5e13bafa14a7418d14c84f62fa0672690ebeb991
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#!/usr/bin/env python # -*- coding: utf-8 -*- """Find and test each of the links in the docs to make sure they are working properly.""" import os import re import sys from bs4 import BeautifulSoup import requests base_url = 'https://docs.threatconnect.com/' pages = { "https://docs.threatconnect.com/en/latest/rest_api/": [ 'change_log.html', 'quick_start.html', 'overview.html', 'associations/associations.html', 'attributes/attributes.html', 'groups/groups.html', 'indicators/indicators.html', 'owners/owners.html', 'security_labels/security_labels.html', 'tags/tags.html', 'tasks/tasks.html', 'victims/victims.html', 'custom_metrics/custom_metrics.html' ], "https://docs.threatconnect.com/en/latest/python/": [ 'python_sdk.html', 'quick_start.html', 'groups/groups.html', 'indicators/indicators.html', 'owners/owners.html', 'tasks/tasks.html', 'victims/victims.html', 'advanced.html' ], "https://docs.threatconnect.com/en/latest/javascript/": [ 'javascript_sdk.html' ], "https://docs.threatconnect.com/en/latest/java/": [ 'java_sdk.html' ] } def _get_heading_ids(soup): """Get the href/id of all of the headings in the given html.""" headings = list() headings.extend([link['href'] for link in soup.findAll('a', {'class': 'headerlink'})]) return headings def test_links(): """.""" bad_links = 0 excluded_patterns = ["readthedocs.com"] for base_page, subpages in pages.items(): for subpage in subpages: page = base_page + subpage # request page r = requests.get(page) # find all hrefs soup = BeautifulSoup(r.text, 'html.parser') # get all of the links and headings from the page links = soup.find_all('a') headings = _get_heading_ids(soup) for link in links: href = link['href'] # ignore "mailto:" links if href.startswith("mailto:"): continue # ignore links to external locations elif href.startswith("//") or href.startswith("http"): matches_exclusion_pattern = False for pattern in excluded_patterns: if pattern in href: matches_exclusion_pattern = True break if matches_exclusion_pattern: continue if href.startswith("//"): href = "http:" + href r = requests.get(href) if not r.ok: print("\n\n>>> Reviewing {}".format(page)) print("{} error when requesting: {}".format(r.status_code, href)) bad_links += 1 # check links that are relative to the base url elif href.startswith("/"): target_url = base_url + href r = requests.get(target_url) if not r.ok: print("\n\n>>> Reviewing {}".format(page)) print("{} error when requesting: {}".format(r.status_code, target_url)) bad_links += 1 # check links to locations on the current page elif href.startswith("#"): # skip any links that are just href="#" if href == "#": pass elif href not in headings: print("\n\n>>> Reviewing {}".format(page)) print("Link to {} does not exist".format(href)) bad_links += 1 # check links that are relative to the current page else: # create a target url by removing the file from the current page and adding the desired href target_url = "/".join(page.split("/")[:-1]) + "/" + href r = requests.get(target_url) if str(r.status_code).startswith("4"): print("\n\n>>> Reviewing {}".format(page)) print("{} error when requesting: {}".format(r.status_code, target_url)) bad_links += 1 if bad_links > 0: print("\n\n{} bad links found".format(bad_links)) sys.exit(3) def test_standard_script_heading_link(): """Make sure the standard script heading is still in the docs so that the links in the code snippets will work. See: https://docs.threatconnect.com/en/latest/python/python_sdk.html#standard-script-heading """ response = requests.get("https://docs.threatconnect.com/en/latest/python/quick_start.html#standard-script-heading") soup = BeautifulSoup(response.text, "html.parser") heading_ids = _get_heading_ids(soup) heading_found = False for heading in heading_ids: if heading == "#standard-script-heading": heading_found = True break if not heading_found: raise RuntimeError("Unable to find the Standard Script Heading used in the code snippets.") def test_no_dev_links(): """Make sure there are no links to the dev version of the docs.""" dev_pattern = "en/dev/" # iterate through the files in the /docs/ directory to make sure the are no links to the dev version of the documentation for path, dirs, files in os.walk(os.path.abspath(os.path.join(os.path.dirname(__file__), "../docs"))): # ignore all directories that start with "_" if "/_" not in path: for file in files: # check to see if the dev pattern is in the file with open("{}/{}".format(path, file), 'r') as f: print("Checking: {}/{}".format(path, file)) file_text = f.read() assert dev_pattern not in file_text print("check passed\n") def test_markdown_links(): """Make sure there are no links to the dev version of the docs.""" markdown_link_pattern = '\[.*?\]\(.+\)' errors = 0 for path, dirs, files in os.walk(os.path.abspath(os.path.join(os.path.dirname(__file__), "../docs"))): # ignore all directories that start with "_" if "/_" not in path: for file in files: if not file.startswith('.'): # check to see if the dev pattern is in the file with open("{}/{}".format(path, file), 'r') as f: file_text = f.read() try: markdown_links = re.findall(markdown_link_pattern, file_text) assert markdown_links == [] except AssertionError: print("Found what appears to be a markdown link in {}/{}: {}".format(path, file, markdown_links)) errors += 1 assert errors == 0 # def test_no_broken_headings(): # """Make sure there are no links to the dev version of the docs.""" # broken_heading_pattern = 'id="id[0-9]' # for base_page, subpages in pages.items(): # for subpage in subpages: # page = base_page + subpage # # request page # r = requests.get(page) # try: # # check to see if there are any broken headings in the page # assert len(re.findall(broken_heading_pattern, r.text)) == 0 # except AssertionError as e: # print("\n\n>>> Reviewing {}".format(page)) # raise e
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from __future__ import with_statement from fabric.api import * from fabric.contrib.console import confirm env.hosts = ['csinchok.webfactional.com'] env.user = 'csinchok' webapp_path = '/home/csinchok/webapps/social_roulette' def test(): local('./bin/test', capture=False) def pack(): local('git archive --format zip master --output=social_roulette.zip', capture=False) def prepare_deploy(): pack() def deploy_prod_code(): prepare_deploy() put('social_roulette.zip', '/home/csinchok/') run('unzip -o /home/csinchok/social_roulette.zip -d %s' % webapp_path) put('twitterroulette/social_keys.py', '/home/csinchok/webapps/social_roulette/twitterroulette/social_keys.py') with cd(webapp_path): run('touch bin/django.wsgi') run('apache2/bin/restart') run('rm /home/csinchok/social_roulette.zip') def deploy_prod(): prepare_deploy() put('./social_roulette.zip', '/home/csinchok/') run('unzip -o /home/csinchok/social_roulette.zip -d %s' % webapp_path) put('twitterroulette/social_keys.py', '/home/csinchok/webapps/social_roulette/twitterroulette/social_keys.py') with cd(webapp_path): run('python2.6 ./bootstrap.py') run('bin/buildout -c production.cfg') run('bin/django syncdb --noinput') run('bin/django migrate') run('touch bin/django.wsgi') run('apache2/bin/restart') run('rm /home/csinchok/social_roulette.zip')
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import os import tkinter from tkinter.messagebox import * from tkinter.filedialog import * from tkinter import * class texteditor: def __init__(self, root): self.file_path = None self.menu = Menu(root) root.config(self.menu) self.Submenu = Menu(self.menu) Menu = self.menu.add_cascade(label="File", menu = self.Submenu) self.Submenu.add_command(label="New File" , command= self.t_1) def t_1(self): print("text edit") root = Tk() a = texteditor(root) root.mainloop()
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import pytest from dagster import ( AssetKey, DagsterInvalidDefinitionError, OpExecutionContext, Out, Output, String, build_op_context, check, ) from dagster.core.asset_defs import AssetIn, AssetsDefinition, asset, build_assets_job, multi_asset from dagster.core.asset_defs.decorators import ASSET_DEPENDENCY_METADATA_KEY def test_asset_no_decorator_args(): @asset def my_asset(): return 1 assert isinstance(my_asset, AssetsDefinition) assert len(my_asset.op.output_defs) == 1 assert len(my_asset.op.input_defs) == 0 def test_asset_with_inputs(): @asset def my_asset(arg1): return arg1 assert isinstance(my_asset, AssetsDefinition) assert len(my_asset.op.output_defs) == 1 assert len(my_asset.op.input_defs) == 1 assert my_asset.op.input_defs[0].get_asset_key(None) == AssetKey("arg1") def test_asset_with_compute_kind(): @asset(compute_kind="sql") def my_asset(arg1): return arg1 assert my_asset.op.tags == {"kind": "sql"} def test_multi_asset_with_compute_kind(): @multi_asset(outs={"o1": Out(asset_key=AssetKey("o1"))}, compute_kind="sql") def my_asset(arg1): return arg1 assert my_asset.op.tags == {"kind": "sql"} def test_multi_asset_out_name_diff_from_asset_key(): @multi_asset( outs={ "my_out_name": Out(asset_key=AssetKey("my_asset_name")), "my_other_out_name": Out(asset_key=AssetKey("my_other_asset")), } ) def my_asset(): yield Output(1, "my_out_name") yield Output(2, "my_other_out_name") assert my_asset.asset_keys == {AssetKey("my_asset_name"), AssetKey("my_other_asset")} def test_multi_asset_infer_from_empty_asset_key(): @multi_asset(outs={"my_out_name": Out(), "my_other_out_name": Out()}) def my_asset(): yield Output(1, "my_out_name") yield Output(2, "my_other_out_name") assert my_asset.asset_keys == {AssetKey("my_out_name"), AssetKey("my_other_out_name")} def test_multi_asset_internal_asset_deps_metadata(): @multi_asset( outs={ "my_out_name": Out(metadata={"foo": "bar"}), "my_other_out_name": Out(metadata={"bar": "foo"}), }, internal_asset_deps={ "my_out_name": {AssetKey("my_other_out_name"), AssetKey("my_in_name")} }, ) def my_asset(my_in_name): # pylint: disable=unused-argument yield Output(1, "my_out_name") yield Output(2, "my_other_out_name") assert my_asset.asset_keys == {AssetKey("my_out_name"), AssetKey("my_other_out_name")} assert my_asset.op.output_def_named("my_out_name").metadata == { "foo": "bar", ASSET_DEPENDENCY_METADATA_KEY: {AssetKey("my_other_out_name"), AssetKey("my_in_name")}, } assert my_asset.op.output_def_named("my_other_out_name").metadata == {"bar": "foo"} def test_multi_asset_internal_asset_deps_invalid(): with pytest.raises(check.CheckError, match="Invalid out key"): @multi_asset( outs={"my_out_name": Out()}, internal_asset_deps={"something_weird": {AssetKey("my_out_name")}}, ) def _my_asset(): pass with pytest.raises(check.CheckError, match="Invalid asset dependencies"): @multi_asset( outs={"my_out_name": Out()}, internal_asset_deps={"my_out_name": {AssetKey("something_weird")}}, ) def _my_asset(): pass def test_asset_with_dagster_type(): @asset(dagster_type=String) def my_asset(arg1): return arg1 assert my_asset.op.output_defs[0].dagster_type.display_name == "String" def test_asset_with_namespace(): @asset(namespace="my_namespace") def my_asset(): pass assert isinstance(my_asset, AssetsDefinition) assert len(my_asset.op.output_defs) == 1 assert len(my_asset.op.input_defs) == 0 assert my_asset.op.name == "my_namespace__my_asset" assert my_asset.asset_keys == {AssetKey(["my_namespace", "my_asset"])} @asset(namespace=["one", "two", "three"]) def multi_component_namespace_asset(): pass assert isinstance(multi_component_namespace_asset, AssetsDefinition) assert len(multi_component_namespace_asset.op.output_defs) == 1 assert len(multi_component_namespace_asset.op.input_defs) == 0 assert ( multi_component_namespace_asset.op.name == "one__two__three__multi_component_namespace_asset" ) assert multi_component_namespace_asset.asset_keys == { AssetKey(["one", "two", "three", "multi_component_namespace_asset"]) } def test_asset_with_inputs_and_namespace(): @asset(namespace="my_namespace") def my_asset(arg1): return arg1 assert isinstance(my_asset, AssetsDefinition) assert len(my_asset.op.output_defs) == 1 assert len(my_asset.op.input_defs) == 1 assert my_asset.op.input_defs[0].get_asset_key(None) == AssetKey(["my_namespace", "arg1"]) def test_asset_with_context_arg(): @asset def my_asset(context): context.log("hello") assert isinstance(my_asset, AssetsDefinition) assert len(my_asset.op.input_defs) == 0 def test_asset_with_context_arg_and_dep(): @asset def my_asset(context, arg1): context.log("hello") assert arg1 assert isinstance(my_asset, AssetsDefinition) assert len(my_asset.op.input_defs) == 1 assert my_asset.op.input_defs[0].get_asset_key(None) == AssetKey("arg1") def test_input_asset_key(): @asset(ins={"arg1": AssetIn(asset_key=AssetKey("foo"))}) def my_asset(arg1): assert arg1 assert my_asset.op.input_defs[0].get_asset_key(None) == AssetKey("foo") def test_input_asset_key_and_namespace(): with pytest.raises(check.CheckError, match="key and namespace cannot both be set"): @asset(ins={"arg1": AssetIn(asset_key=AssetKey("foo"), namespace="bar")}) def _my_asset(arg1): assert arg1 def test_input_namespace_str(): @asset(ins={"arg1": AssetIn(namespace="abc")}) def my_asset(arg1): assert arg1 assert my_asset.op.input_defs[0].get_asset_key(None) == AssetKey(["abc", "arg1"]) def test_input_namespace_list(): @asset(ins={"arg1": AssetIn(namespace=["abc", "xyz"])}) def my_asset(arg1): assert arg1 assert my_asset.op.input_defs[0].get_asset_key(None) == AssetKey(["abc", "xyz", "arg1"]) def test_input_metadata(): @asset(ins={"arg1": AssetIn(metadata={"abc": 123})}) def my_asset(arg1): assert arg1 assert my_asset.op.input_defs[0].metadata == {"abc": 123} def test_unknown_in(): with pytest.raises(DagsterInvalidDefinitionError): @asset(ins={"arg1": AssetIn()}) def _my_asset(): pass def test_all_fields(): @asset( required_resource_keys={"abc", "123"}, io_manager_key="my_io_key", description="some description", metadata={"metakey": "metaval"}, ) def my_asset(): pass assert my_asset.op.required_resource_keys == {"abc", "123"} assert my_asset.op.description == "some description" assert len(my_asset.op.output_defs) == 1 output_def = my_asset.op.output_defs[0] assert output_def.io_manager_key == "my_io_key" assert output_def.metadata["metakey"] == "metaval" def test_infer_input_dagster_type(): @asset def my_asset(_input1: str): pass assert my_asset.op.input_defs[0].dagster_type.display_name == "String" def test_invoking_simple_assets(): @asset def no_input_asset(): return [1, 2, 3] out = no_input_asset() assert out == [1, 2, 3] @asset def arg_input_asset(arg1, arg2): return arg1 + arg2 out = arg_input_asset([1, 2, 3], [4, 5, 6]) assert out == [1, 2, 3, 4, 5, 6] @asset def arg_kwarg_asset(arg1, kwarg1=[0]): return arg1 + kwarg1 out = arg_kwarg_asset([1, 2, 3], kwarg1=[3, 2, 1]) assert out == [1, 2, 3, 3, 2, 1] out = arg_kwarg_asset(([1, 2, 3])) assert out == [1, 2, 3, 0] def test_invoking_asset_with_deps(): @asset def upstream(): return [1] @asset def downstream(upstream): return upstream + [2, 3] # check that the asset dependencies are in place job = build_assets_job("foo", [upstream, downstream]) assert job.execute_in_process().success out = downstream([3]) assert out == [3, 2, 3] def test_invoking_asset_with_context(): @asset def asset_with_context(context, arg1): assert isinstance(context, OpExecutionContext) return arg1 ctx = build_op_context() out = asset_with_context(ctx, 1) assert out == 1
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import os import json from decimal import Decimal from datapackage_pipelines.wrapper import ingest, spew parameters_, datapackage_, resources_ = ingest() column = parameters_['column'] currency = parameters_['currency'] currency_column = parameters_['currency-column'] date_columns = parameters_['date-columns'] missing = open('missing-keys.txt', 'a') written = set() currencies = json.load(open(os.path.join(os.path.dirname(__file__), 'currencies.json'))) def process(resources): def process_single(resource): for row in resource: row[currency_column] = currency ncv = row[column] row[column] = None if ncv is not None: the_date = None for date_column in date_columns: the_date = row.get(date_column) if the_date is not None: break if the_date is not None: keys = ["%s-%s" % (currency, the_date.strftime('%Y-%m'))] else: funding_period = list(map(int, row['funding_period'].split('-'))) keys = ['%s-%d-06' % (currency, year) for year in range(funding_period[0], funding_period[1])] assert len(keys)>0 all_rates = [(key, currencies.get(key)) for key in keys] none_keys = map((lambda x: x[0]), filter((lambda x: x[1] is None), all_rates)) rates = list(map((lambda x: x[1]), filter((lambda x: x[1] is not None), all_rates))) if len(rates) > 0: rate = sum(rates) / len(rates) amount = ncv * Decimal(rate) row[column] = amount for key in none_keys: if key not in written: missing.write(key+'\n') written.add(key) yield row for resource_ in resources: yield process_single(resource_) for resource in datapackage_['resources']: resource['schema']['fields'].append({ 'name': currency_column, 'type': 'string' }) spew(datapackage_, process(resources_)) missing.close()
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""" Entendendo o **kwargs É mais um parâmetro, diferentemente do *args que coloca os valores como tupla, o **kwargs exige que utilizemos parâmetros nomeados, transformado-os em um dicionário Nas nossas funções podemos ter parametros obrigatórios, *args, default e **kwargs nessa ordem obrigatoriamente. # Exemplos def cores_favoritas(a, b, c, **kwargs): for pessoa, cor in kwargs.items(): print(f"A cor favorita de {pessoa} é {cor}.") cores_favoritas(1, 2, 3, Marcos="Verde", Julia="Branco", Fernanda="Roxo") def cumprimento_especial(**kwargs): if "Geek" in kwargs and kwargs["Geek"] == "Python": return "Você recebeu um cumprimento Pythonico Geek" elif "Geek" in kwargs: return f"{kwargs['Geek']} Geek" return "Não tenho certeza de quem você é..." print(cumprimento_especial()) print(cumprimento_especial(Geek="Python")) print(cumprimento_especial(Geek="01")) print(cumprimento_especial(Geek="Especial")) def minha_funcao(idade, nome, *args, solteiro=False, **kwargs): print(f"{nome} tem {idade} anos.") print(args) if solteiro: print("Solteiro") else: print("Casado") print(kwargs) minha_funcao(18, "Ana") minha_funcao(25, "Jones", 4, 5, 3, solteiro=False) minha_funcao(39, "Bruce", eu="Não", você="Vai") minha_funcao(45, "Charles", 9, 4, 3, java=False, pythpn=True) # Desempacotar com **kwargs def mostra_nomes(**kwargs): return f"{kwargs['nome']} {kwargs['sobrenome']}" nomes = {'nome': 'Charles', 'sobrenome': 'Xavier'} print(mostra_nomes(**nomes)) def somatorio(a, b, c): print(a + b + c) lista = [1, 2, 3] tupla = (1, 2, 3) conjunto = {1, 2, 3} dicionario = dict(a=1, b=2, c=3) somatorio(*lista) somatorio(*tupla) somatorio(*conjunto) somatorio(**dicionario) Os nomes da chave em um dicionário devem ser os mesmos dos parâmetros da função """
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from twisted.python.filepath import FilePath s = 'abc,def' ### n = 10 m = 20 a = s.split(',')[0] * n +','+ s.split(',')[1] * m print a ############ l = range (2,9) target = 9 #print l #print l1 = [] print range(len(l)) print "" for i in range(len(l)): for a in range(i+1,len(l)): # print i, a, l[i], l[a] if l[i]+l[a] == target: print i,a print "" opposite = {} for i, v in enumerate(l): o = opposite.get(target -v) if o is not None: print o, i opposite[v] = i # for j, v1 in list(enumerate) import os print os.listdir('.') s = set() l = [] for i in os.listdir('/home/ymy'): if '-' in i: x = i.split('-')[-1] if x not in l: l.append(x) for i in os.listdir('/home/ymy'): if '-' in i: x = i.split('-')[-1] if x not in l: l.append(x) print [i.split('-')[-1] for i in os.listdir('/home/ymy') if '-' in i] print [i for i in os.listdir('/home/ymy') if '-' in i] print [i.split('-')[-1] for i in os.listdir('/home/ymy') if '-' in i] print set([i.split('-')[-1] for i in os.listdir('/home/ymy') if '-' in i]) d_size = {} from os import path for base, dirs, files in os.walk('/tmp'): for filename in files: print path.join(base, filename) filepath = path.join(base, filename) try : st = os.stat(filepath) except: continue print filepath d_size.setdefault(st.st_size, []).append(filepath) print st.st_size for k,v in d_size.items(): if len(v) >1: print k,v #for i,v in enumerate(l):
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from config import * import pygame as pg class Display_board(): def __init__(self, screen): self.screen = screen self.font_num = pg.font.SysFont("comicsans", NUMBER_SIZE) self.font_cdt = pg.font.SysFont("comicsans", CANDIDATE_SIZE) def draw_val(self, val, x, y): text1 = self.font_num.render(str(val), 1, BLACK) self.screen.blit(text1, (x * BLOCK_SIZE + 15, y * BLOCK_SIZE + 15)) def draw_cdt(self, val, x, y): text1 = self.font_cdt.render(str(val), 1, BLACK) self.screen.blit(text1, (x * BLOCK_SIZE + 1, y * BLOCK_SIZE + 1)) def on_mouse_press(self, x, y, symbol, modifier): pass def numbers(self, n): # Generator that yields odd numbers twice for i in range(n): yield i if i % 2 == 1: yield i def draw(self, grid, cell): for i in range (9): for j in range (9): if grid[i][j] != 0: if type(grid[i][j]) != int: self.draw_candidates(grid, cell) else: text1 = self.font_num.render(str(grid[i][j]), 1, BLACK) self.screen.blit(text1, (TOP_LX + i * BLOCK_SIZE + 15, TOP_LY + j * BLOCK_SIZE + 14)) indent = [] for i in self.numbers(7): indent.append(i) for i in range(NUM_LINES): print("\nline: ---", i, "---") if i % 3 == 0: print("thick") thick = THICK_LINE else: print("thin") thick = THIN_LINE pg.draw.line(self.screen, BLACK, (TOP_LX, TOP_LY + i * BLOCK_SIZE + indent[i]), (TOP_RX, TOP_RY + i * BLOCK_SIZE + indent[i]), thick) pg.draw.line(self.screen, BLACK, (TOP_LX + i * BLOCK_SIZE + indent[i], TOP_LY), (BOT_LX + i * BLOCK_SIZE + indent[i], BOT_LY), thick) # 3.5 * -- 0 -- 1 -- 1 -- 2 -- 3 -- 3 -- 4 -- 5 -- 5 -- 6 # 0 --- 45 * 1 + 3.5 --- 45 * 2 + 3.5 --- 45 * 3 + 7 --- 45 * 4 + 10.5 --- 45 * 5 + 10.5 --- 45 * 6 + 14 --- 45 * 7 + 17.5 --- 45 * 8 + 17.5 --- 45 * 9 + 21 # pg.draw.line(self.screen, BLACK, (TOP_LX, TOP_LY), (TOP_RX + 6 * 3.5, TOP_RY), 7) # pg.draw.line(self.screen, BLACK, (TOP_LX, TOP_LY + 1 * 45 + 1 * 3.5), (TOP_RX + 6 * 3.5, TOP_RY + 1 * 45 + 1 * 3.5), 1) # pg.draw.line(self.screen, BLACK, (TOP_LX, TOP_LY + 2 * 45 + 1 * 3.5), (TOP_RX + 6 * 3.5, TOP_RY + 2 * 45 + 1 * 3.5), 1) # pg.draw.line(self.screen, BLACK, (TOP_LX, TOP_LY + 3 * 45 + 2 * 3.5), (TOP_RX + 6 * 3.5, TOP_RY + 3 * 45 + 2 * 3.5), 7) # pg.draw.line(self.screen, BLACK, (TOP_LX, TOP_LY + 4 * 45 + 3 * 3.5), (TOP_RX + 6 * 3.5, TOP_RY + 4 * 45 + 3 * 3.5), 1) # pg.draw.line(self.screen, BLACK, (TOP_LX, TOP_LY + 5 * 45 + 3 * 3.5), (TOP_RX + 6 * 3.5, TOP_RY + 5 * 45 + 3 * 3.5), 1) # pg.draw.line(self.screen, BLACK, (TOP_LX, TOP_LY + 6 * 45 + 4 * 3.5), (TOP_RX + 6 * 3.5, TOP_RY + 6 * 45 + 4 * 3.5), 7) # pg.draw.line(self.screen, BLACK, (TOP_LX, TOP_LY + 7 * 45 + 5 * 3.5), (TOP_RX + 6 * 3.5, TOP_RY + 7 * 45 + 5 * 3.5), 1) # pg.draw.line(self.screen, BLACK, (TOP_LX, TOP_LY + 8 * 45 + 5 * 3.5), (TOP_RX + 6 * 3.5, TOP_RY + 8 * 45 + 5 * 3.5), 1) # pg.draw.line(self.screen, BLACK, (TOP_LX, TOP_LY + 9 * 45 + 6 * 3.5), (TOP_RX + 6 * 3.5, TOP_RY + 9 * 45 + 6 * 3.5), 7) # pg.draw.line(self.screen, BLACK, (TOP_LX, TOP_LY), (BOT_LX, BOT_LY + 21), 7) # pg.draw.line(self.screen, BLACK, (TOP_LX + 48.5, TOP_LY), (BOT_LX + 48.5, BOT_LY + 21), 1) # pg.draw.line(self.screen, BLACK, (TOP_LX + 48.5 + 45, TOP_LY), (BOT_LX + 48.5 + 45, BOT_LY + 21), 1) # pg.draw.line(self.screen, BLACK, (TOP_LX + 52 + 45 + 45, TOP_LY), (BOT_LX + 52 + 45 + 45, BOT_LY + 21), 7) # pg.draw.line(self.screen, BLACK, (TOP_LX + 52 + 45 + 45 + 48.5, TOP_LY), (BOT_LX + 52 + 45 + 45 + 48.5, BOT_LY + 21), 1) # pg.draw.line(self.screen, BLACK, (TOP_LX + 52 + 45 + 45 + 48.5 + 45, TOP_LY), (BOT_LX + 52 + 45 + 45 + 48.5 + 45, BOT_LY + 21), 1) # pg.draw.line(self.screen, BLACK, (TOP_LX + 52 + 45 + 45 + 52 + 45 + 45, TOP_LY), (BOT_LX + 52 + 45 + 45 + 52 + 45 + 45, BOT_LY + 21), 7) # pg.draw.line(self.screen, BLACK, (TOP_LX + 52 + 45 + 45 + 52 + 45 + 45 + 48.5, TOP_LY), (BOT_LX + 52 + 45 + 45 + 52 + 45 + 45 + 48.5, BOT_LY + 21), 1) # pg.draw.line(self.screen, BLACK, (TOP_LX + 52 + 45 + 45 + 52 + 45 + 45 + 48.5 + 45, TOP_LY), (BOT_LX + 52 + 45 + 45 + 52 + 45 + 45 + 48.5 + 45, BOT_LY + 21), 1) # pg.draw.line(self.screen, BLACK, (TOP_LX + 52 + 45 + 45 + 52 + 45 + 45 + 52 + 45 + 45, TOP_LY), (BOT_LX + 52 + 45 + 45 + 52 + 45 + 45 + 52 + 45 + 45, BOT_LY + 21), 7) # For candidate placement # if i % 3 == 0: # print(BLOCK_SIZE) # pg.draw.line(self.screen, BLACK, (cell[0], # cell[1] + i * (cell[2] / 9)), # ((cell[0] + cell[2]), # cell[1] + i * (cell[2] / 9)), 1) # pg.draw.line(self.screen, BLACK, (cell[0] + i * (cell[3] / 9), # cell[1]), # (cell[0] + i * (cell[3] / 9), # cell[1] + cell[3]), 1) def draw_candidates(self, grid, cell): new_line = 1 iteration = 1 indent = 15 for number in grid[i][j]: if iteration % 3 == 1: # Checking if first in line: 1, 4, 7 text1 = self.font_cdt.render(str(number), 1, BLACK) self.screen.blit(text1, (cell[0] + 3, cell[1] + ((new_line - 1) * indent) + 2)) else: text1 = self.font_cdt.render(str(number), 1, BLACK) self.screen.blit(text1, (cell[0] + ((iteration - 1) * indent) + 3, cell[1] + ((new_line - 1) * indent) + 2)) if iteration % 3 == 0: # checking if last in line: 3, 6 new_line += 1 iteration = 0 iteration += 1 def update(self, grid, row, col, blk): font_val = pg.font.SysFont("comicsans", BOLD) if row != (-1, -1): # Remove old number text1 = self.font_num.render(str(grid[row[0]][row[1]]), 1, WHITE) self.screen.blit(text1, (TOP_LX + row[0] * BLOCK_SIZE + 15, TOP_LY + row[1] * BLOCK_SIZE + 15)) # Rewrite in bigger font text1 = font_val.render(str(grid[row[0]][row[1]]), 1, BLACK) self.screen.blit(text1, (TOP_LX + row[0] * BLOCK_SIZE + 14, TOP_LY + row[1] * BLOCK_SIZE + 10)) if col != (-1, -1): # Remove old number text1 = self.font_num.render(str(grid[col[0]][col[1]]), 1, WHITE) self.screen.blit(text1, (TOP_LX + col[0] * BLOCK_SIZE + 15, TOP_LY + col[1] * BLOCK_SIZE + 15)) # Rewrite in bigger font text1 = font_val.render(str(grid[col[0]][col[1]]), 1, BLACK) self.screen.blit(text1, (TOP_LX + col[0] * BLOCK_SIZE + 14, TOP_LY + col[1] * BLOCK_SIZE + 10)) if blk != (-1, -1): # Remove old number text1 = self.font_num.render(str(grid[blk[0]][blk[1]]), 1, WHITE) self.screen.blit(text1, (TOP_LX + blk[0] * BLOCK_SIZE + 15, TOP_LY + blk[1] * BLOCK_SIZE + 15)) # Rewrite in bigger font text1 = font_val.render(str(grid[blk[0]][blk[1]]), 1, BLACK) self.screen.blit(text1, (TOP_LX + blk[0] * BLOCK_SIZE + 14, TOP_LY + blk[1] * BLOCK_SIZE + 10)) def find_cell(self, x, y): # Only applies glow when a cell is selected if x == -1 and y == -1: return width = BLOCK_SIZE height = BLOCK_SIZE block_x = block_y = 1 # Adjustment in size if bordering a thick line print("cell: ", x, y) if x % 3 == 0: # If thick line on the left print("column 1, 4 or 7") # else: # start_pos_x = TOP_LX + x * BLOCK_SIZE + block * 3.5 temp_x = x for i in range(3): if temp_x - 3 >= 0: block_x += 2 temp_x += -3 i += 1 print("block x: ", block_x) print("extra indent x:", block_x * 3.5) start_pos_x = TOP_LX + x * BLOCK_SIZE + block_x * 3.5 if (x + 1) % 3 == 0: # If thick line on the right print("column 3, 6 or 9") if y % 3 == 0: # If thick line on the top print("row 1, 4 or 7") # else: # start_pos_y = TOP_LY + y * BLOCK_SIZE# + 1 if (y + 1) % 3 == 0: # If thick line on the bottom print("row 3, 6 or 9") temp_y = y for i in range(3): if temp_y - 3 >= 0: block_y += 2 temp_y += -3 i += 1 print("block y: ", block_y) print("extra indent y:", block_x * 3.5) start_pos_y = TOP_LY + y * BLOCK_SIZE + block_y * 3.5 return (start_pos_x, start_pos_y, width, height) def blink(self, alpha, a_change): if a_change: alpha += BLINK_SPEED if alpha >= 175: a_change = False elif a_change == False: alpha += -BLINK_SPEED if alpha <= 30: a_change = True return (alpha, a_change)
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/jacket/api/storage/views/qos_specs.py
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# Copyright (C) 2013 eBay Inc. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from oslo_log import log as logging from jacket.api.storage import common LOG = logging.getLogger(__name__) class ViewBuilder(common.ViewBuilder): """Model QoS specs API responses as a python dictionary.""" _collection_name = "qos-specs" def __init__(self): """Initialize view builder.""" super(ViewBuilder, self).__init__() def summary_list(self, request, qos_specs, qos_count=None): """Show a list of qos_specs without many details.""" return self._list_view(self.detail, request, qos_specs, qos_count) def summary(self, request, qos_spec): """Generic, non-detailed view of a qos_specs.""" return { 'qos_specs': qos_spec, 'links': self._get_links(request, qos_spec['id']), } def detail(self, request, qos_spec): """Detailed view of a single qos_spec.""" # TODO(zhiteng) Add associations to detailed view return { 'qos_specs': qos_spec, 'links': self._get_links(request, qos_spec['id']), } def associations(self, request, associates): """View of qos specs associations.""" return { 'qos_associations': associates } def _list_view(self, func, request, qos_specs, qos_count=None): """Provide a view for a list of qos_specs.""" specs_list = [func(request, specs)['qos_specs'] for specs in qos_specs] specs_links = self._get_collection_links(request, qos_specs, self._collection_name, qos_count) specs_dict = dict(qos_specs=specs_list) if specs_links: specs_dict['qos_specs_links'] = specs_links return specs_dict
[ "nkapotoxin@gmail.com" ]
nkapotoxin@gmail.com
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/Stripes/HadCRUT5/stripes_single_member_longitude.py
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#!/usr/bin/env python # Make a poster showing HadCRUT5 monthly temperatures. # Inspired by the climate stripes popularised by Ed Hawkins. import os import iris import numpy import datetime import matplotlib from matplotlib.backends.backend_agg import FigureCanvasAgg as FigureCanvas from matplotlib.figure import Figure from matplotlib.patches import Rectangle from pandas import qcut # Choose one ensemble member (arbitrarily) member = 87 # Load the 20CR data h=iris.load_cube("/scratch/hadcc/hadcrut5/build/HadCRUT5/analysis/"+ "HadCRUT.5.0.0.0.analysis.anomalies.%d.nc" % member) # Pick a random latitude at each month p=h.extract(iris.Constraint(latitude=0)) s=h.data.shape for t in range(s[0]): for lon in range(s[2]): rand_l = numpy.random.randint(0,s[1]) p.data[t,lon]=h.data[t,rand_l,lon] h=p ndata=h.data # Plot the resulting array as a 2d colourmap fig=Figure(figsize=(72,18), # Width, Height (inches) dpi=300, facecolor=(0.5,0.5,0.5,1), edgecolor=None, linewidth=0.0, frameon=False, # Don't draw a frame subplotpars=None, tight_layout=None) #fig.set_frameon(False) # Attach a canvas canvas=FigureCanvas(fig) matplotlib.rc('image',aspect='auto') # Speckled grey background s=ndata.shape ax2 = fig.add_axes([0,0,1,1],facecolor='green') ax2.set_axis_off() # Don't want surrounding x and y axis nd2=numpy.random.rand(s[1],s[0]) clrs=[] for shade in numpy.linspace(.42+.01,.36+.01): clrs.append((shade,shade,shade,1)) y = numpy.linspace(0,1,s[1]) x = numpy.linspace(0,1,s[0]) img = ax2.pcolormesh(x,y,nd2, cmap=matplotlib.colors.ListedColormap(clrs), alpha=1.0, shading='gouraud', zorder=10) ax = fig.add_axes([0,0,1,1],facecolor='black',xlim=(0,1),ylim=(0,1)) ax.set_axis_off() # Don't want surrounding x and y axis ndata=numpy.transpose(ndata) s=ndata.shape y = numpy.linspace(0,1,s[0]) x = numpy.linspace(0,1,s[1]) img = ax.pcolorfast(x,y,numpy.cbrt(ndata), cmap='RdYlBu_r', alpha=1.0, vmin=-1.7, vmax=1.7, zorder=100) fig.savefig('m%d_lon.pdf' % member)
[ "philip@brohan.org" ]
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/services/layer_initializer_service.py
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from models import * class LayerInitializerService: @staticmethod def load_layers(num_classes: int, learning_rate: float): fc_layer_1 = fully_connected_layer_model.FullyConnectedLayerModel(67500, 50, 'fc1', learning_rate) activation_layer_1 = activation_layer_model.ActivationLayerModel('relu', 'output_activation') output_fc = fully_connected_layer_model.FullyConnectedLayerModel(50, num_classes, 'fc2', learning_rate) output_activation = activation_layer_model.ActivationLayerModel('softmax', 'output_activation') # layers list layers = [ fc_layer_1, activation_layer_1, output_fc, output_activation ] return layers
[ "greg.attra@gmail.com" ]
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import pandas as pd import numpy as np from datetime import * nw = datetime.now().strftime("%d/%m/%Y %H:%M:%S") def add_col_df(df, colname, colval = False, indx=False): if indx == False: if colval == False: ndf = df.assign(coln = 'NWC') ndf.rename(columns = {'coln': colname}, inplace = True) return ndf else: ndf = df.assign(coln = colval) ndf.rename(columns = {'coln': colname}, inplace = True) return ndf else: if colval == False: df.insert(indx, colname, 'NWC', allow_duplicates=False) return df else: df.insert(indx, colname, colval, allow_duplicates=False) return df def timediff(df,c1,c2,newcol): df[c1] = pd.to_datetime(df[c1]) df[c2] = pd.to_datetime(df[c2]) df1 = add_col_df(df,newcol) df1[newcol] = abs(df1[c2] - df1[c1]) df1[newcol] = df1[newcol].astype("i8")/1e9 df1[newcol] = df1[newcol] / 60 return df1 def timediff_2(df,c1,c2,newcol): df[c1] = pd.to_datetime(df[c1]) df[c2] = pd.to_datetime(df[c2]) df1 = add_col_df(df,newcol) df1[newcol] = abs(df1[c2] - df1[c1]) df1[newcol] = df1[newcol].astype('timedelta64[m]') return df1 def datedif(ndf,nwcol,dt_col1,dt_col2 = False): df = ndf.replace(r'^\s*$', np.nan, regex=True) if dt_col2 == False: df1 = add_col_df(df,'NOW',nw) df2 = timediff(df1,dt_col1,'NOW',nwcol) df3 = df2.drop(['NOW'], axis = 1) return df3 #lst = df[dt_col1] #ls = list(map (lambda x: ((datetime.now() - datetime.strptime(x, "%d/%m/%Y %H:%M")).total_seconds())/60, lst)) else: df2 = timediff(df,dt_col1,dt_col2,nwcol) return df2 #ls = list(map (lambda x , y: ((datetime.strptime(x, "%d/%m/%Y %H:%M") - datetime.strptime(y, "%d/%m/%Y %H:%M")).total_seconds())/60 if ('1970' not in str(y)) else "0", clr,lst)) #df[nwcol] = np.nan #df[nwcol] = np.array(ls) #print('In Minutes') def datediff(unit,Time1,Time2): print(type(Time1)) print(type(Time2))
[ "omi.kabirr@gmail.com" ]
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/src/biocommons/seqrepo/fastadir/_data/migrations/0001-initial.py
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from yoyo import step step(""" create table seqinfo ( seq_id text primary key, len integer not null, alpha text not null, added timestamp not null default current_timestamp, relpath text not null )""", """drop table seqinfo""") step("""create unique index seqinfo_seq_id_idx on seqinfo(seq_id)""") step("""update meta set value = '1' where key = 'schema version'""")
[ "reecehart@gmail.com" ]
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/torchdp/utils/module_modification.py
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#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved r""" This module includes utils for modifying model layers, replacing layers etc. """ from typing import Callable, Type from torch import nn def _replace_child( root: nn.Module, child_name: str, converter: Callable[[nn.Module], nn.Module] ) -> None: """ Converts a sub-module to a new module given a helper function, the root module and a string representing the name of the submodule to be replaced. Parameters ---------- root: torch.nn.Module Root module whose sub module must be replaced. child_name: str Name of submodule that must be replaced. converter: Callable[[torch.nn.Module], torch.nn.Module] Function or a lambda that takes a module (the submodule to be replaced) and returns its replacement. """ # find the immediate parent parent = root nameList = child_name.split(".") for name in nameList[:-1]: parent = parent._modules[name] # set to identity parent._modules[nameList[-1]] = converter(parent._modules[nameList[-1]]) def replace_all_modules( root: nn.Module, target_class: Type[nn.Module], converter: Callable[[nn.Module], nn.Module], ) -> nn.Module: """ Converts all the submodules (of root) that have the same type as target_class, given a converter, a module root, and a target class type. This method is useful for replacing modules that are not supported by the Privacy Engine. Parameters ---------- root: torch.nn.Module Model instance, potentially with sub-modules target_class: Type[torch.nn.Module] Target class that needs to be replaced. converter: Callable[[torch.nn.Module], torch.nn.Module] Function or a lambda that converts an instance of a given target_class to another nn.Module. Returns ------- torch.nn.Module Module with all the target_class types replaced using the converter. root is modified and is equal to the return value. Example ------- >>> from torchvision.models import resnet18 >>> from torch import nn >>> model = resnet18() >>> print(model.layer1[0].bn1) BatchNorm2d(64, eps=1e-05, ... >>> model = replace_all_modules(model, nn.BatchNorm2d, lambda _: nn.Identity()) >>> print(model.layer1[0].bn1) Identity() """ # base case if isinstance(root, target_class): return converter(root) for name, obj in root.named_modules(): if isinstance(obj, target_class): _replace_child(root, name, converter) return root def _batchnorm_to_instancenorm(module: nn.modules.batchnorm._BatchNorm) -> nn.Module: """ Converts a BatchNorm module to the corresponding InstanceNorm module Parameters ---------- module: torch.nn.modules.batchnorm._BatchNorm BatchNorm module to be replaced Returns ------- torch.nn.Module InstanceNorm module that can replace the BatchNorm module provided """ def matchDim(): if isinstance(module, nn.BatchNorm1d): return nn.InstanceNorm1d elif isinstance(module, nn.BatchNorm2d): return nn.InstanceNorm2d elif isinstance(module, nn.BatchNorm3d): return nn.InstanceNorm3d return matchDim()(module.num_features) def _batchnorm_to_groupnorm(module: nn.modules.batchnorm._BatchNorm) -> nn.Module: """ Converts a BatchNorm ``module`` to GroupNorm module. This is a helper function. Parameters ---------- module: torch.nn.modules.batchnorm._BatchNorm BatchNorm module to be replaced Returns ------- torch.nn.Module GroupNorm module that can replace the BatchNorm module provided Notes ----- A default value of 32 is chosen for the number of groups based on the paper *Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour* https://arxiv.org/pdf/1706.02677.pdf """ return nn.GroupNorm(min(32, module.num_features), module.num_features, affine=True) def nullify_batchnorm_modules(root: nn.Module) -> nn.Module: """ Replaces all the BatchNorm submodules (e.g. :class:`torch.nn.BatchNorm1d`, :class:`torch.nn.BatchNorm2d` etc.) in ``root`` with :class:`torch.nn.Identity`. Parameters ---------- root: torch.nn.Module Module for which to replace BatchNorm submodules. Returns ------- torch.nn.Module Module with all the BatchNorm sub modules replaced with Identity. ``root`` is modified and is equal to the return value. Notes ----- Most of the times replacing a BatchNorm module with Identity will heavily affect convergence of the model. """ return replace_all_modules( # pyre-fixme[6]: Expected `Type[nn.Module]` for 2nd param but got # `Type[nn.modules.batchnorm._BatchNorm]`. root, nn.modules.batchnorm._BatchNorm, lambda _: nn.Identity() ) def convert_batchnorm_modules( model: nn.Module, converter: Callable[ [nn.modules.batchnorm._BatchNorm], nn.Module ] = _batchnorm_to_groupnorm, ) -> nn.Module: """ Converts all BatchNorm modules to another module (defaults to GroupNorm) that is privacy compliant. Parameters ---------- model: torch.nn.Module Module instance, potentially with sub-modules converter: Callable[[torch.nn.modules.batchnorm._BatchNorm], torch.nn.Module] Function or a lambda that converts an instance of a Batchnorm to another nn.Module. Defaults to :meth:`~torchdp.utils.module_modification._batchnorm_to_groupnorm`. Returns ------- torch.nn.Module Model with all the BatchNorm types replaced by another operation by using the provided converter, defaulting to GroupNorm if one isn't provided. Example ------- >>> from torchvision.models import resnet18 >>> from torch import nn >>> model = resnet50() >>> print(model.layer1[0].bn1) BatchNorm2d module details >>> model = convert_batchnorm_moduleta(model) >>> print(model.layer1[0].bn1) GroupNorm module details """ # pyre-fixme[6]: Expected `Type[nn.Module]` for 2nd param but got # `Type[nn.modules.batchnorm._BatchNorm]`. return replace_all_modules(model, nn.modules.batchnorm._BatchNorm, converter)
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""" Find the number connected component in the undirected graph. Each node in the graph contains a label and a list of its neighbors. (a connected component (or just component) of an undirected graph is a subgraph in which any two vertices are connected to each other by paths, and which is connected to no additional vertices in the supergraph.) Notice Each connected component should sort by label. Have you met this question in a real interview? Yes Clarification Learn more about representation of graphs Example Given graph: A------B C \ | | \ | | \ | | \ | | D E Return {A,B,D}, {C,E}. Since there are two connected component which is {A,B,D}, {C,E} """ # Definition for a undirected graph node # class UndirectedGraphNode: # def __init__(self, x): # self.label = x # self.neighbors = [] class Solution: # @param {UndirectedGraphNode[]} nodes a array of undirected graph node # @return {int[][]} a connected set of a undirected graph def connectedSet(self, nodes): # Write your code here self.v = {} for node in nodes: self.v[node.label] = False res = [] for node in nodes: if not self.v[node.label]: tmp = [] self.dfs(node, tmp) res.append(sorted(tmp)) return res def dfs(self, x, tmp): self.v[x.label] = True tmp.append(x.label) for nd in x.neighbors: if not self.v[nd.label]: self.dfs(nd, tmp)
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#!/usr/bin/env python meta_template = """ package: name: {pytraj_status} version: !!str {pytraj_version} source: {source} requirements: build: - python - cython - libcpptraj {libcpptraj_version} - libnetcdf run: - python - libcpptraj {libcpptraj_version} - libnetcdf - numpy test: commands: - python -c 'import pytraj as pt; pt.show_versions(); from pytraj.testing import get_remd_fn' about: home: http://github.com/amber-md/pytraj license: GPL v3 summary: Python API for cpptraj - a package for data analysis of MD simulations """ source_git = """ git_url: https://github.com/amber-md/pytraj.git git_tag: master """ source_pypi = """ fn: pytraj-{pytraj_version}.tar.gz # url: https://pypi.python.org/packages/source/p/pytraj/pytraj-{pytraj_version}.tar.gz url: https://anaconda.org/hainm/pytraj/1.0.6/download/pytraj-{pytraj_version}.tar.gz """ if __name__ == '__main__': import sys from argparse import ArgumentParser parser = ArgumentParser() parser.add_argument('-lc', '--libcpptraj-version', default='4.3.1', help='libcpptraj version') parser.add_argument('-r', '--release', action='store_true') parser.add_argument('--version', help='pytraj version', default='1.0.6') args = parser.parse_args(sys.argv[1:]) is_released = args.release pytraj_version_str = args.version if is_released else args.version + '.dev' pytraj_status = 'pytraj' if is_released else 'pytraj-dev' source_ = source_pypi if is_released else source_git source = source_.format(pytraj_version=pytraj_version_str) if '{pytraj_version}' in source_ else source_ meta_str = meta_template.format( libcpptraj_version=args.libcpptraj_version, pytraj_status=pytraj_status, source=source, pytraj_version=pytraj_version_str) print(meta_str) with open('pytraj/meta.yaml', 'w') as fh: fh.write(meta_str)
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# Generated by Django 2.2.6 on 2021-05-10 11:46 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('hadoop', '0013_delete_hadooptaskrecord'), ] operations = [ migrations.AddField( model_name='clusterinfo', name='app', field=models.CharField(default='', max_length=100, verbose_name='业务'), ), ]
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# encoding: utf-8 from unittest import TestCase from text_parser import utils class TestUtils(TestCase): def test_force_text(self): self.assertEqual(utils.force_text(1), u"1") self.assertEqual( utils.force_text(u"测试".encode("utf-8")), u"测试", ) self.assertEqual(utils.force_text(u"测试"), u"测试")
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from django.shortcuts import render from rest_framework import viewsets from .serializers import StudentSerializer from .models import Student from rest_framework.filters import OrderingFilter from rest_framework.pagination import CursorPagination class Mycursorpagination(CursorPagination): page_size=5 ordering='name' class StudentViewSet(viewsets.ModelViewSet): queryset=Student.objects.all() serializer_class=StudentSerializer # filter_backends=[OrderingFilter] # ordering_fields=['name'] pagination_class=Mycursorpagination
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#!/usr/bin/env python import os, sys, shutil, tempfile, re, string, multiprocessing # Assume we are run from the galaxy root directory, add lib to the python path cwd = os.getcwd() tool_shed_home_directory = os.path.join( cwd, 'test', 'tool_shed' ) default_tool_shed_test_file_dir = os.path.join( tool_shed_home_directory, 'test_data' ) # Here's the directory where everything happens. Temporary directories are created within this directory to contain # the hgweb.config file, the database, new repositories, etc. Since the tool shed browses repository contents via HTTP, # the full path to the temporary directroy wher eht repositories are located cannot contain invalid url characters. tool_shed_test_tmp_dir = os.path.join( tool_shed_home_directory, 'tmp' ) os.environ[ 'TOOL_SHED_TEST_TMP_DIR' ] = tool_shed_test_tmp_dir new_path = [ os.path.join( cwd, "lib" ) ] new_path.extend( sys.path[1:] ) sys.path = new_path from galaxy import eggs, model eggs.require( "nose" ) eggs.require( "NoseHTML" ) eggs.require( "NoseTestDiff" ) eggs.require( "twill==0.9" ) eggs.require( "Paste" ) eggs.require( "PasteDeploy" ) eggs.require( "Cheetah" ) # This should not be required, but it is under certain conditions, thanks to this bug: http://code.google.com/p/python-nose/issues/detail?id=284 eggs.require( "pysqlite" ) import atexit, logging, os, os.path, sys, tempfile import twill, unittest, time import sys, threading, random import httplib, socket from paste import httpserver # This is for the tool shed application. import galaxy.webapps.tool_shed.app from galaxy.webapps.tool_shed.app import UniverseApplication as ToolshedUniverseApplication from galaxy.webapps.tool_shed import buildapp as toolshedbuildapp # This is for the galaxy application. from galaxy.app import UniverseApplication as GalaxyUniverseApplication from galaxy.web import buildapp as galaxybuildapp import nose.core import nose.config import nose.loader import nose.plugins.manager log = logging.getLogger( "tool_shed_functional_tests.py" ) default_tool_shed_test_host = "localhost" default_tool_shed_test_port_min = 8000 default_tool_shed_test_port_max = 8999 default_tool_shed_locales = 'en' default_galaxy_test_port_min = 9000 default_galaxy_test_port_max = 9999 default_galaxy_test_host = 'localhost' # should this serve static resources (scripts, images, styles, etc.) STATIC_ENABLED = True def get_static_settings(): """Returns dictionary of the settings necessary for a galaxy App to be wrapped in the static middleware. This mainly consists of the filesystem locations of url-mapped static resources. """ cwd = os.getcwd() static_dir = os.path.join( cwd, 'static' ) #TODO: these should be copied from universe_wsgi.ini return dict( #TODO: static_enabled needed here? static_enabled = True, static_cache_time = 360, static_dir = static_dir, static_images_dir = os.path.join( static_dir, 'images', '' ), static_favicon_dir = os.path.join( static_dir, 'favicon.ico' ), static_scripts_dir = os.path.join( static_dir, 'scripts', '' ), static_style_dir = os.path.join( static_dir, 'june_2007_style', 'blue' ), static_robots_txt = os.path.join( static_dir, 'robots.txt' ), ) def get_webapp_global_conf(): """Get the global_conf dictionary sent as the first argument to app_factory. """ # (was originally sent 'dict()') - nothing here for now except static settings global_conf = dict() if STATIC_ENABLED: global_conf.update( get_static_settings() ) return global_conf tool_sheds_conf_xml_template = '''<?xml version="1.0"?> <tool_sheds> <tool_shed name="Embedded tool shed for functional tests" url="http://${shed_url}:${shed_port}/"/> <tool_shed name="Galaxy main tool shed" url="http://toolshed.g2.bx.psu.edu/"/> </tool_sheds> ''' shed_tool_conf_xml_template = '''<?xml version="1.0"?> <toolbox tool_path="${shed_tool_path}"> </toolbox> ''' tool_conf_xml = '''<?xml version="1.0"?> <toolbox> <section name="Get Data" id="getext"> <tool file="data_source/upload.xml"/> </section> </toolbox> ''' tool_data_table_conf_xml_template = '''<?xml version="1.0"?> <tables> </tables> ''' def run_tests( test_config ): loader = nose.loader.TestLoader( config=test_config ) plug_loader = test_config.plugins.prepareTestLoader( loader ) if plug_loader is not None: loader = plug_loader tests = loader.loadTestsFromNames( test_config.testNames ) test_runner = nose.core.TextTestRunner( stream=test_config.stream, verbosity=test_config.verbosity, config=test_config ) plug_runner = test_config.plugins.prepareTestRunner( test_runner ) if plug_runner is not None: test_runner = plug_runner return test_runner.run( tests ) def main(): # ---- Configuration ------------------------------------------------------ tool_shed_test_host = os.environ.get( 'TOOL_SHED_TEST_HOST', default_tool_shed_test_host ) tool_shed_test_port = os.environ.get( 'TOOL_SHED_TEST_PORT', None ) galaxy_test_host = os.environ.get( 'GALAXY_TEST_HOST', default_galaxy_test_host ) galaxy_test_port = os.environ.get( 'GALAXY_TEST_PORT', None ) tool_path = os.environ.get( 'TOOL_SHED_TEST_TOOL_PATH', 'tools' ) if 'HTTP_ACCEPT_LANGUAGE' not in os.environ: os.environ[ 'HTTP_ACCEPT_LANGUAGE' ] = default_tool_shed_locales tool_shed_test_file_dir = os.environ.get( 'TOOL_SHED_TEST_FILE_DIR', default_tool_shed_test_file_dir ) if not os.path.isabs( tool_shed_test_file_dir ): tool_shed_test_file_dir = tool_shed_test_file_dir ignore_files = () tool_dependency_dir = os.environ.get( 'TOOL_SHED_TOOL_DEPENDENCY_DIR', None ) use_distributed_object_store = os.environ.get( 'TOOL_SHED_USE_DISTRIBUTED_OBJECT_STORE', False ) if not os.path.isdir( tool_shed_test_tmp_dir ): os.mkdir( tool_shed_test_tmp_dir ) tool_shed_test_proxy_port = None galaxy_test_proxy_port = None if 'TOOL_SHED_TEST_DBPATH' in os.environ: shed_db_path = os.environ[ 'TOOL_SHED_TEST_DBPATH' ] else: tempdir = tempfile.mkdtemp( dir=tool_shed_test_tmp_dir ) shed_db_path = os.path.join( tempdir, 'database' ) shed_tool_data_table_conf_file = os.environ.get( 'TOOL_SHED_TEST_TOOL_DATA_TABLE_CONF', os.path.join( tool_shed_test_tmp_dir, 'shed_tool_data_table_conf.xml' ) ) galaxy_tool_data_table_conf_file = os.environ.get( 'GALAXY_TEST_TOOL_DATA_TABLE_CONF', os.path.join( tool_shed_test_tmp_dir, 'tool_data_table_conf.xml' ) ) galaxy_tool_conf_file = os.environ.get( 'GALAXY_TEST_TOOL_CONF', os.path.join( tool_shed_test_tmp_dir, 'test_tool_conf.xml' ) ) galaxy_shed_tool_conf_file = os.environ.get( 'GALAXY_TEST_SHED_TOOL_CONF', os.path.join( tool_shed_test_tmp_dir, 'test_shed_tool_conf.xml' ) ) galaxy_migrated_tool_conf_file = os.environ.get( 'GALAXY_TEST_MIGRATED_TOOL_CONF', os.path.join( tool_shed_test_tmp_dir, 'test_migrated_tool_conf.xml' ) ) galaxy_tool_sheds_conf_file = os.environ.get( 'GALAXY_TEST_TOOL_SHEDS_CONF', os.path.join( tool_shed_test_tmp_dir, 'test_sheds_conf.xml' ) ) if 'GALAXY_TEST_TOOL_DATA_PATH' in os.environ: tool_data_path = os.environ.get( 'GALAXY_TEST_TOOL_DATA_PATH' ) else: tool_data_path = tempfile.mkdtemp( dir=tool_shed_test_tmp_dir ) os.environ[ 'GALAXY_TEST_TOOL_DATA_PATH' ] = tool_data_path if 'GALAXY_TEST_DBPATH' in os.environ: galaxy_db_path = os.environ[ 'GALAXY_TEST_DBPATH' ] else: tempdir = tempfile.mkdtemp( dir=tool_shed_test_tmp_dir ) galaxy_db_path = os.path.join( tempdir, 'database' ) shed_file_path = os.path.join( shed_db_path, 'files' ) galaxy_file_path = os.path.join( galaxy_db_path, 'files' ) hgweb_config_file_path = tempfile.mkdtemp( dir=tool_shed_test_tmp_dir ) new_repos_path = tempfile.mkdtemp( dir=tool_shed_test_tmp_dir ) galaxy_tempfiles = tempfile.mkdtemp( dir=tool_shed_test_tmp_dir ) galaxy_shed_tool_path = tempfile.mkdtemp( dir=tool_shed_test_tmp_dir ) galaxy_migrated_tool_path = tempfile.mkdtemp( dir=tool_shed_test_tmp_dir ) galaxy_tool_dependency_dir = tempfile.mkdtemp( dir=tool_shed_test_tmp_dir ) os.environ[ 'GALAXY_TEST_TOOL_DEPENDENCY_DIR' ] = galaxy_tool_dependency_dir hgweb_config_dir = hgweb_config_file_path os.environ[ 'TEST_HG_WEB_CONFIG_DIR' ] = hgweb_config_dir print "Directory location for hgweb.config:", hgweb_config_dir if 'TOOL_SHED_TEST_DBURI' in os.environ: toolshed_database_connection = os.environ[ 'TOOL_SHED_TEST_DBURI' ] else: toolshed_database_connection = 'sqlite:///' + os.path.join( shed_db_path, 'community_test.sqlite' ) if 'GALAXY_TEST_DBURI' in os.environ: galaxy_database_connection = os.environ[ 'GALAXY_TEST_DBURI' ] else: galaxy_database_connection = 'sqlite:///' + os.path.join( galaxy_db_path, 'universe_test.sqlite' ) tool_shed_global_conf = get_webapp_global_conf() tool_shed_global_conf[ '__file__' ] = 'tool_shed_wsgi.ini.sample' kwargs = dict( admin_users = 'test@bx.psu.edu', allow_user_creation = True, allow_user_deletion = True, database_connection = toolshed_database_connection, datatype_converters_config_file = 'datatype_converters_conf.xml.sample', file_path = shed_file_path, global_conf = tool_shed_global_conf, hgweb_config_dir = hgweb_config_dir, job_queue_workers = 5, id_secret = 'changethisinproductiontoo', log_destination = "stdout", new_file_path = new_repos_path, running_functional_tests = True, shed_tool_data_table_config = shed_tool_data_table_conf_file, smtp_server = 'smtp.dummy.string.tld', email_from = 'functional@localhost', template_path = 'templates', tool_path=tool_path, tool_parse_help = False, tool_data_table_config_path = galaxy_tool_data_table_conf_file, use_heartbeat = False ) for dir in [ tool_shed_test_tmp_dir ]: try: os.makedirs( dir ) except OSError: pass print "Tool shed database connection:", toolshed_database_connection print "Galaxy database connection:", galaxy_database_connection # Generate the tool_data_table_conf.xml file. file( galaxy_tool_data_table_conf_file, 'w' ).write( tool_data_table_conf_xml_template ) # Generate the shed_tool_data_table_conf.xml file. file( shed_tool_data_table_conf_file, 'w' ).write( tool_data_table_conf_xml_template ) os.environ[ 'TOOL_SHED_TEST_TOOL_DATA_TABLE_CONF' ] = shed_tool_data_table_conf_file # ---- Build Tool Shed Application -------------------------------------------------- toolshedapp = None # if not toolshed_database_connection.startswith( 'sqlite://' ): # kwargs[ 'database_engine_option_max_overflow' ] = '20' if tool_dependency_dir is not None: kwargs[ 'tool_dependency_dir' ] = tool_dependency_dir if use_distributed_object_store: kwargs[ 'object_store' ] = 'distributed' kwargs[ 'distributed_object_store_config_file' ] = 'distributed_object_store_conf.xml.sample' kwargs[ 'global_conf' ] = tool_shed_global_conf if not toolshed_database_connection.startswith( 'sqlite://' ): kwargs[ 'database_engine_option_pool_size' ] = '10' toolshedapp = ToolshedUniverseApplication( **kwargs ) log.info( "Embedded Toolshed application started" ) # ---- Run tool shed webserver ------------------------------------------------------ tool_shed_server = None tool_shed_global_conf[ 'database_connection' ] = toolshed_database_connection toolshedwebapp = toolshedbuildapp.app_factory( tool_shed_global_conf, use_translogger=False, static_enabled=True, app=toolshedapp ) if tool_shed_test_port is not None: tool_shed_server = httpserver.serve( toolshedwebapp, host=tool_shed_test_host, port=tool_shed_test_port, start_loop=False ) else: random.seed() for i in range( 0, 9 ): try: tool_shed_test_port = str( random.randint( default_tool_shed_test_port_min, default_tool_shed_test_port_max ) ) log.debug( "Attempting to serve app on randomly chosen port: %s" % tool_shed_test_port ) tool_shed_server = httpserver.serve( toolshedwebapp, host=tool_shed_test_host, port=tool_shed_test_port, start_loop=False ) break except socket.error, e: if e[0] == 98: continue raise else: raise Exception( "Unable to open a port between %s and %s to start Galaxy server" % ( default_tool_shed_test_port_min, default_tool_shed_test_port_max ) ) if tool_shed_test_proxy_port: os.environ[ 'TOOL_SHED_TEST_PORT' ] = tool_shed_test_proxy_port else: os.environ[ 'TOOL_SHED_TEST_PORT' ] = tool_shed_test_port t = threading.Thread( target=tool_shed_server.serve_forever ) t.start() # Test if the server is up for i in range( 10 ): # Directly test the app, not the proxy. conn = httplib.HTTPConnection( tool_shed_test_host, tool_shed_test_port ) conn.request( "GET", "/" ) if conn.getresponse().status == 200: break time.sleep( 0.1 ) else: raise Exception( "Test HTTP server did not return '200 OK' after 10 tries" ) log.info( "Embedded web server started" ) # ---- Optionally start up a Galaxy instance ------------------------------------------------------ if 'TOOL_SHED_TEST_OMIT_GALAXY' not in os.environ: # Generate the tool_conf.xml file. file( galaxy_tool_conf_file, 'w' ).write( tool_conf_xml ) # Generate the shed_tool_conf.xml file. tool_sheds_conf_template_parser = string.Template( tool_sheds_conf_xml_template ) tool_sheds_conf_xml = tool_sheds_conf_template_parser.safe_substitute( shed_url=tool_shed_test_host, shed_port=tool_shed_test_port ) file( galaxy_tool_sheds_conf_file, 'w' ).write( tool_sheds_conf_xml ) # Generate the tool_sheds_conf.xml file. shed_tool_conf_template_parser = string.Template( shed_tool_conf_xml_template ) shed_tool_conf_xml = shed_tool_conf_template_parser.safe_substitute( shed_tool_path=galaxy_shed_tool_path ) file( galaxy_shed_tool_conf_file, 'w' ).write( shed_tool_conf_xml ) # Generate the migrated_tool_conf.xml file. migrated_tool_conf_xml = shed_tool_conf_template_parser.safe_substitute( shed_tool_path=galaxy_migrated_tool_path ) file( galaxy_migrated_tool_conf_file, 'w' ).write( migrated_tool_conf_xml ) os.environ[ 'GALAXY_TEST_SHED_TOOL_CONF' ] = galaxy_shed_tool_conf_file galaxy_global_conf = get_webapp_global_conf() galaxy_global_conf[ '__file__' ] = 'universe_wsgi.ini.sample' kwargs = dict( allow_user_creation = True, allow_user_deletion = True, admin_users = 'test@bx.psu.edu', allow_library_path_paste = True, database_connection = galaxy_database_connection, datatype_converters_config_file = "datatype_converters_conf.xml.sample", enable_tool_shed_check = True, file_path = galaxy_file_path, global_conf = galaxy_global_conf, hours_between_check = 0.001, id_secret = 'changethisinproductiontoo', job_queue_workers = 5, log_destination = "stdout", migrated_tools_config = galaxy_migrated_tool_conf_file, new_file_path = galaxy_tempfiles, running_functional_tests=True, shed_tool_data_table_config = shed_tool_data_table_conf_file, shed_tool_path = galaxy_shed_tool_path, template_path = "templates", tool_data_path = tool_data_path, tool_dependency_dir = galaxy_tool_dependency_dir, tool_path = tool_path, tool_config_file = [ galaxy_tool_conf_file, galaxy_shed_tool_conf_file ], tool_sheds_config_file = galaxy_tool_sheds_conf_file, tool_parse_help = False, tool_data_table_config_path = galaxy_tool_data_table_conf_file, update_integrated_tool_panel = False, use_heartbeat = False ) # ---- Build Galaxy Application -------------------------------------------------- if not galaxy_database_connection.startswith( 'sqlite://' ): kwargs[ 'database_engine_option_pool_size' ] = '10' kwargs[ 'database_engine_option_max_overflow' ] = '20' galaxyapp = GalaxyUniverseApplication( **kwargs ) log.info( "Embedded Galaxy application started" ) # ---- Run galaxy webserver ------------------------------------------------------ galaxy_server = None galaxy_global_conf[ 'database_file' ] = galaxy_database_connection galaxywebapp = galaxybuildapp.app_factory( galaxy_global_conf, use_translogger=False, static_enabled=True, app=galaxyapp ) if galaxy_test_port is not None: galaxy_server = httpserver.serve( galaxywebapp, host=galaxy_test_host, port=galaxy_test_port, start_loop=False ) else: random.seed() for i in range( 0, 9 ): try: galaxy_test_port = str( random.randint( default_galaxy_test_port_min, default_galaxy_test_port_max ) ) log.debug( "Attempting to serve app on randomly chosen port: %s" % galaxy_test_port ) galaxy_server = httpserver.serve( galaxywebapp, host=galaxy_test_host, port=galaxy_test_port, start_loop=False ) break except socket.error, e: if e[0] == 98: continue raise else: raise Exception( "Unable to open a port between %s and %s to start Galaxy server" % \ ( default_galaxy_test_port_min, default_galaxy_test_port_max ) ) if galaxy_test_proxy_port: os.environ[ 'GALAXY_TEST_PORT' ] = galaxy_test_proxy_port else: os.environ[ 'GALAXY_TEST_PORT' ] = galaxy_test_port t = threading.Thread( target=galaxy_server.serve_forever ) t.start() # Test if the server is up for i in range( 10 ): # Directly test the app, not the proxy. conn = httplib.HTTPConnection( galaxy_test_host, galaxy_test_port ) conn.request( "GET", "/" ) if conn.getresponse().status == 200: break time.sleep( 0.1 ) else: raise Exception( "Test HTTP server did not return '200 OK' after 10 tries" ) log.info( "Embedded galaxy web server started" ) # We don't add the tests to the path until everything is up and running new_path = [ os.path.join( cwd, 'test' ) ] new_path.extend( sys.path[1:] ) sys.path = new_path # ---- Find tests --------------------------------------------------------- if tool_shed_test_proxy_port: log.info( "Functional tests will be run against %s:%s" % ( tool_shed_test_host, tool_shed_test_proxy_port ) ) else: log.info( "Functional tests will be run against %s:%s" % ( tool_shed_test_host, tool_shed_test_port ) ) if galaxy_test_proxy_port: log.info( "Galaxy tests will be run against %s:%s" % ( galaxy_test_host, galaxy_test_proxy_port ) ) else: log.info( "Galaxy tests will be run against %s:%s" % ( galaxy_test_host, galaxy_test_port ) ) success = False try: # Pass in through script set env, will leave a copy of ALL test validate files. os.environ[ 'TOOL_SHED_TEST_HOST' ] = tool_shed_test_host os.environ[ 'GALAXY_TEST_HOST' ] = galaxy_test_host if tool_shed_test_file_dir: os.environ[ 'TOOL_SHED_TEST_FILE_DIR' ] = tool_shed_test_file_dir test_config = nose.config.Config( env=os.environ, ignoreFiles=ignore_files, plugins=nose.plugins.manager.DefaultPluginManager() ) test_config.configure( sys.argv ) # Run the tests. result = run_tests( test_config ) success = result.wasSuccessful() except: log.exception( "Failure running tests" ) log.info( "Shutting down" ) # ---- Tear down ----------------------------------------------------------- if tool_shed_server: log.info( "Shutting down embedded web server" ) tool_shed_server.server_close() tool_shed_server = None log.info( "Embedded web server stopped" ) if toolshedapp: log.info( "Shutting down tool shed app" ) toolshedapp.shutdown() toolshedapp = None log.info( "Embedded tool shed application stopped" ) if 'TOOL_SHED_TEST_OMIT_GALAXY' not in os.environ: if galaxy_server: log.info( "Shutting down galaxy web server" ) galaxy_server.server_close() galaxy_server = None log.info( "Embedded galaxy server stopped" ) if galaxyapp: log.info( "Shutting down galaxy app" ) galaxyapp.shutdown() galaxyapp = None log.info( "Embedded galaxy application stopped" ) if 'TOOL_SHED_TEST_NO_CLEANUP' not in os.environ: try: for dir in [ tool_shed_test_tmp_dir ]: if os.path.exists( dir ): log.info( "Cleaning up temporary files in %s" % dir ) shutil.rmtree( dir ) except: pass if success: return 0 else: return 1 if __name__ == "__main__": try: sys.exit( main() ) except Exception, e: log.exception( str( e ) ) exit(1)
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sabba_88@hotmail.com
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/q44.py
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''' MAJORITY ELEMENT Write a function which takes an array and prints the majority element (if it exists), otherwise prints “No Majority Element”. A majority element in an array A[] of size n is an element that appears more than n/2 times (and hence there is at most one such element). Input : {3, 3, 4, 2, 4, 4, 2, 4, 4} Output : 4 Explanation: The frequency of 4 is 5 which is greater than the half of the size of the array size. Input : {3, 3, 4, 2, 4, 4, 2, 4} Output : No Majority Element Explanation: There is no element whose frequency is greater than the half of the size of the array size. ''' # python program for finding out majarity # element in an array # def findMajority(arr, size): # m = {} # for i in range(size): # if arr[i] in m: # m[arr[i]] += 1 # else: # m[arr[i]] = 1 # count = 0 # for key in m: # if m[key] > size/2: # count = 1 # print("majority found : ",key) # break # if (count == 0): # print("no majority element") # # Driver code # arr = [2,2,2,2,5,5,2,3,3] # n = len(arr) # findMajority(arr,n) def GETMEJORITY(ARR,SIZE): M = {} for I in range(SIZE): if ARR[I] in M: M[ARR[I]] += 1 else: M[ARR[I]] = 1 COUNT = 0 for KEY in M: if M[KEY] > SIZE/2: COUNT = 1 print('MEJORITY OF ELEMENT IS: ',KEY) break if (COUNT == 0): print("NO MEJORITY") # DRIVER MODE if __name__ == '__main__': ARR = [22,22,22,22,55,55,22,33,33] SIZE = len(ARR) GETMEJORITY(ARR,SIZE) ''' TIME COMPLEXITY O(n) ONE TRAVERSAL OF THE ARRAY IS NEEDED, SO THE TIME COMPLEXITY IS LINEAR AUXILIARY SPACE O(n) SINCE A HASHMAP LINEAR SPACE '''
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/spacegraphcats/search/test_workflow.py
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import os.path import tempfile import shutil import screed from spacegraphcats.catlas import catlas from spacegraphcats.index import index_contigs_by_kmer from spacegraphcats.search import extract_nodes_by_query from spacegraphcats.search import characterize_catlas_regions from spacegraphcats.search import extract_unassembled_nodes from spacegraphcats.search import catlas_info from spacegraphcats.search import extract_contigs from spacegraphcats.search import estimate_query_abundance from spacegraphcats.utils import make_bgzf from spacegraphcats.cdbg import label_cdbg from spacegraphcats.search import extract_reads import sourmash_lib class TempDirectory(object): def __init__(self): self.tempdir = tempfile.mkdtemp(prefix='sgc_test') def __enter__(self): return self.tempdir def __exit__(self, exc_type, exc_value, traceback): try: shutil.rmtree(self.tempdir, ignore_errors=True) except OSError: pass if exc_type: return False def relative_filename(filename): thisdir = os.path.dirname(__file__) pkgdir = os.path.join(thisdir, '../..') newpath = os.path.join(pkgdir, filename) return os.path.abspath(newpath) class Args(object): pass def test_dory(): with TempDirectory() as location: from spacegraphcats.cdbg import bcalm_to_gxt # make the output directory try: os.mkdir('dory_k21_r1') except FileExistsError: pass # convert the bcalm file to gxt args = ['-k', '-21', '-P', relative_filename('dory/bcalm.dory.k21.unitigs.fa'), 'dory_k21_r1/cdbg.gxt', 'dory_k21_r1/contigs.fa.gz'] bcalm_to_gxt.main(args) # build catlas args = Args() args.no_checkpoint = True args.level = 0 args.radius = 1 args.project = 'dory_k21_r1' catlas.main(args) # make k-mer search index args = '-k 21 dory_k21_r1'.split() index_contigs_by_kmer.main(args) # do search!! args='dory_k21_r1 dory_k21_r1_search_oh0 --query data/dory-head.fa -k 21 --overhead=0.0'.split() try: extract_nodes_by_query.main(args) except SystemExit as e: assert e.code == 0, str(e) # check output! output_path = 'dory_k21_r1_search_oh0/' assert os.path.exists(output_path + 'command.txt') assert os.path.exists(output_path + 'dory-head.fa.frontier.txt.gz') assert os.path.exists(output_path + 'dory-head.fa.cdbg_ids.txt.gz') assert os.path.exists(output_path + 'dory-head.fa.response.txt') assert os.path.exists(output_path + 'dory-head.fa.contigs.sig') assert os.path.exists(output_path + 'results.csv') with open(output_path + 'results.csv') as fp: lines = fp.readlines() assert len(lines) == 2 last_line = lines[-1].strip() assert last_line == 'data/dory-head.fa,1.0,1.0,1671,2,21,1631,1.0,0.0,0.0' # run characterize_catlas_regions args = 'dory_k21_r1 dory_k1_r1.vec'.split() characterize_catlas_regions.main(args) # run extract_unassembled_regions args = 'dory_k21_r1 data/dory-head.fa dory.regions -k 21'.split() extract_unassembled_nodes.main(args) # run catlas info catlas_info.main(['dory_k21_r1']) # run extract_contigs args = ['dory_k21_r1', 'dory_k21_r1_search_oh0/dory-head.fa.cdbg_ids.txt.gz', '-o', 'dory_k21_r1_search_oh0/dory-head.fa.cdbg_ids.contigs.fa.gz'] extract_contigs.main(args) assert os.path.exists('dory_k21_r1_search_oh0/dory-head.fa.cdbg_ids.contigs.fa.gz') # run make_bgzf args = ['data/dory-subset.fa', '-o', 'dory/dory.reads.bgz'] make_bgzf.main(args) # run label_cdbg args = ['dory_k21_r1', 'dory/dory.reads.bgz', 'dory_k21_r1/reads.bgz.labels'] label_cdbg.main(args) # run extract_reads args = ['dory/dory.reads.bgz', 'dory_k21_r1/reads.bgz.labels', 'dory_k21_r1_search_oh0/dory-head.fa.cdbg_ids.txt.gz', '-o', 'dory_k21_r1_search_oh0/dory-head.fa.cdbg_ids.reads.fa.gz'] extract_reads.main(args) # calculate query abundances args = 'dory_k21_r1 data/dory-head.fa -o abundances.csv -k 21'.split() estimate_query_abundance.main(args) abunds = open('abundances.csv', 'rt').read() assert 'data/dory-head.fa,1.0,1.05' in abunds
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# Copyright 2017 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS-IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from tmppy import Type class MyError(Exception): def __init__(self, b: bool): self.message = 'Something went wrong' self.b = b def f(x: Type): if x == Type('float'): raise MyError(True) return True
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# -*- coding: utf-8 -*- import scrapy from qikan.items import QikanItem import re import time from .config import Config,postItemWithPdf,postItem,proxyRequest class Sage165Spider(scrapy.Spider): name = 'SAGE165' start_urls = ['http://journals.sagepub.com/toc/han/current'] base_url = 'http://journals.sagepub.com' def parse(self, response): # 文章url hrefs = response.xpath("//div[@class='art_title linkable']/a[@class='ref nowrap']/@href").extract() volume = response.xpath( "//div[@class='pager issueBookNavPager']/span[@class='journalNavCenterTd']/div[@class='journalNavTitle']/text()").extract()[ 0] for i in range(len(hrefs)): yield proxyRequest(url=self.base_url + hrefs[i], meta={'annualVolume': volume}, callback=self.parse2) def parse2(self, response): item = QikanItem() # 文章题目 item['title'] = '' titles = response.xpath("//div[@class='hlFld-Title']//div[@class='publicationContentTitle']//h1").extract() pat = re.compile('<[^>]+>', re.S) for title in titles: item['title'] = item['title'] + pat.sub('', title).strip() # item['title'] = response.xpath("//div[@class='hlFld-Title']//div[@class='publicationContentTitle']//h1/text()").extract()[0].strip() # # titles = response.xpath("//h2[@class='citation__title']/text()").extract() # pat = re.compile('<[^>]+>', re.S) # 作者 item['author'] = '' # 通讯作者 # 通讯作者单位 aus = [] if response.xpath("//div[@class='header']/a[@class='entryAuthor']").extract(): authors = response.xpath("//div[@class='header']/a[@class='entryAuthor']").extract() for author in authors: item['author'] = item['author'] + pat.sub('', author).strip() + "," else: item['author'] = 'NULL' if response.xpath( "//div[@class='hlFld-ContribAuthor']/span[@class='NLM_contrib-group']/div[@class='artice-info-affiliation']/text()").extract(): item['authorAffiliation'] = response.xpath( "//div[@class='hlFld-ContribAuthor']/span[@class='NLM_contrib-group']/div[@class='artice-info-affiliation']/text()").extract()[ 0] elif response.xpath( "//div[@class='hlFld-ContribAuthor']/div[@class='artice-info-affiliation'][1]/text()").extract(): item['authorAffiliation'] = response.xpath( "//div[@class='hlFld-ContribAuthor']/div[@class='artice-info-affiliation'][1]/text()").extract()[0] elif response.xpath("//div[@class='artice-notes']//corresp//text()").extract(): item['authorAffiliation'] = response.xpath("//div[@class='artice-notes']//corresp//text()").extract()[ 0].replace('Email:', '') else: item['authorAffiliation'] = 'NULL' item['authorAffiliation'] = item['authorAffiliation'].replace('\n', '').replace('\r', '').replace('\t', '').replace( ' ', ' ') # print(item['authorAffiliation']) item['correspongdingauthorEmail'] = '' if response.xpath("//a[@class='email']/span[@class='nobrWithWbr']").extract(): correspongdingauthorEmails = response.xpath("//a[@class='email']/span[@class='nobrWithWbr']").extract() for correspongdingauthorEmail in correspongdingauthorEmails: item['correspongdingauthorEmail'] = item['correspongdingauthorEmail'] + pat.sub('', correspongdingauthorEmail).strip() + '||' else: item['correspongdingauthorEmail'] = 'NULL' # item['correspongdingauthorEmail'] = response.xpath("//a[@class='email']/span[@class='nobrWithWbr']").extract() if response.xpath( "//div[@class='hlFld-ContribAuthor']/span[@class='contribDegrees'][1]/div[@class='authorLayer']/div[@class='header']/a[@class='entryAuthor']/text()").extract(): item['correspongdingauthor'] = response.xpath( "//div[@class='hlFld-ContribAuthor']/span[@class='contribDegrees'][1]/div[@class='authorLayer']/div[@class='header']/a[@class='entryAuthor']/text()").extract()[ 0] + '||' else: item['correspongdingauthor'] = 'NULL' # # DOI号 if item['correspongdingauthor'] == 'NULL': item['correspongdingauthor'] = 'NULL' elif item['correspongdingauthor'] != '': correspongdingau = item['correspongdingauthor'].split("||") correspongdingEm = item['correspongdingauthorEmail'].split("||") item['correspongdingauthor'] = '' for i in range(len(correspongdingau)): if correspongdingau[i] != '': item['correspongdingauthor'] += '(' + correspongdingau[i] + ',' + correspongdingEm[i] + '),' else: item['correspongdingauthor'] = 'NULL' # print(item['correspongdingauthor']) item['DOI'] = response.xpath( "//div[@class='widget-body body body-none body-compact-all']/div[@class='doiWidgetContainer']/a[@class='doiWidgetLink']/text()").extract()[ 0] # # print(item['DOI']) # # 没有关键词 item['keyword'] = '' if response.xpath("//div[@class='hlFld-KeywordText']/kwd-group/a[@class='attributes']/text()").extract(): keywords = response.xpath( "//div[@class='hlFld-KeywordText']/kwd-group/a[@class='attributes']/text()").extract() for keyword in keywords: item['keyword'] = item['keyword'] + keyword + ',' else: item['keyword'] = 'NULL' # # 摘要 item['abstract'] = '' pat = re.compile('<[^>]+>', re.S) if response.xpath("//div[@class='hlFld-Abstract']//div[@class='abstractSection abstractInFull']//p"): coninfos = response.xpath( "//div[@class='hlFld-Abstract']//div[@class='abstractSection abstractInFull']//p").extract() for coninfo in coninfos: item['abstract'] = item['abstract'] + pat.sub('', coninfo).strip() + '<br>' else: item['abstract'] = 'NULL' item['abstract'] = item['abstract'].replace('\n', '') # print(item['abstract']) header = { 'Upgrade-Insecure-Requests': '1', 'User-Agent': 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3013.3 Safari/537.36' } if response.xpath( "//div[@class='rightMobileMenuButton articleToolsButton PDFTool pdf-access redButton smallButton']/a/@href").extract(): pdf = response.xpath( "//div[@class='rightMobileMenuButton articleToolsButton PDFTool pdf-access redButton smallButton']/a/@href").extract()[ 0] item['pdf'] = self.base_url + pdf yield proxyRequest(url=self.base_url + pdf, meta={'filename': pdf.split('/')[-1] + '.pdf'}, headers=header, callback=postItemWithPdf(item) ) else: item['pdf'] = 'NULL' postItem(item) # print(item['pdf']) # 卷,期,年 item['annualVolume'] = response.meta['annualVolume'].strip() # item['annualVolume'] = response.xpath("//div[@class='Article information']/div[1]/text()").extract()[0].strip() # item['annualVolume'] = pat.sub('', annualVolume).strip() # print(item['annualVolume']) # 页码 item['pageNumber'] = 'NULL' # print(pageNumber) # ru2 = re.compile(r'pp (.*)') # # 页码 # item['pageNumber'] = ru2.search(pageNumber).group(1) # print(item['pageNumber']) # 期刊名 item['journalTitle'] = pat.sub('', response.xpath( "//div[@id='e3c018c7-8573-4acd-93ae-0ff4b1f3baf3']/div[@class='wrapped ']").extract()[0]).strip() # print(item['journalTitle']) # 有些期刊目录有一张图片 item['imageUrlList'] = 'NULL' # 12 July 2018 item['publishTime'] = response.xpath("//span[@class='publicationContentEpubDate dates']/text()").extract()[ 1].strip() # 改成2018-07-12 temp = time.strptime(item['publishTime'], "%B %d, %Y") item['publishTime'] = time.strftime("%Y-%m-%d", temp) # print(item['publishTime']) yield item # # 下载pdf def downloadpdf(self, response): file_path = Config().pdf_url + response.meta['filename'] with open(file_path, 'wb') as f: f.write(response.body) # #下载图片 def downloadimg(self, response): file_path = Config().img_url + response.meta['filename'] with open(file_path, 'wb') as f: f.write(response.body)
[ "luojie.5408@163.com" ]
luojie.5408@163.com
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/students/piotrowski_stanislaw/lesson_02_flow_control/how_many_zeroes.py
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[]
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jedzej/tietopythontraining-basic
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# https://snakify.org/lessons/for_loop_range/problems/how_many_zeroes/ # piotrsta number_of_numbers = int(input()) zeros = 0 for i in range(number_of_numbers): number = int(input()) if number == 0: zeros += 1 print(zeros)
[ "32517941+kadilak83@users.noreply.github.com" ]
32517941+kadilak83@users.noreply.github.com
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[]
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fagan2888/PSTE
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# coding=utf-8 caps = [ 'b267334dc40d4110ab97da1cb9d56556', 'c79c82d2b5f44819a8cfd4b671c7687b', '7fb60cc90ec94c18845857c601a2c8e9', 'c32ec98e715c4b4bbf245992243d8577', 'f730c418f8e24b8f8ea43503c829e4b2', '7ca388e301c6466980ba5aea085c48f7', 'e89f2890703e4875ade541affbfa8ae6', '1e2591ccef674a01847e3142fd74ba02', '9c9172ff65ef411cbefa39c3d66c8ad5', '62c78035570046de85ca4e55ed312f80', '6a0d3016bf254720818711775c39d8ea', '395198b1d135448a9d63761af7d1d165', '364f10e7bacf4d95815bef65ba14a92f', '58a99af9898a41f7881d9b0cf4118867', '6090c7fb0fcf4afdb2d04c862eeeddb2', '99cd74da8efe4249973cb13e96b85309', 'a649aa61982741e5bcd59c17d5c32daf', '5451a982b8964c2684740291c7869080', 'e675f92d0ad6491d876dc9eccbd656fd', '294b731ed7bb4136bc7def5978d8e912', '62ed464de7a9466d8f67c900c2693b54', '9ace22fcd03049d79e529b7819283b9a', 'd4272c68ea664cfbb885640ef570a942', 'eaf34462012c4ab9900c8b56c5bbf3bd', '5d889254598c4a1cab5bb52932bab02a', 'eecfe4e477034685ba5bce1f5d8606e7', '2b72ef89555b488ab2cb6b7bdf152695', '57b0478f98f94b91a95728a36c0c7010', '28fa709cbc5e47dd983a34d27ead9a58', 'ee7f0e42a407420c87047bb236b1a07d', '7d131677628444f59c41f3e641c02752', 'e5a3bf57774043f7b11d8383ba4e359a', 'e256dadd56344bb98320b4769f20b62d', '403dc7f896ab4dc6a3b5a19688d3af21', 'cea31a183184433f9d62ab2c887501ad', 'f91147ee2a734950923bb4b9ef6151c4', 'cf25a600c7ab426797416be5f87bf34e', 'cfa1110d183641b29829637ae11ca19b', 'e8f6887796f04418a75e16b54d2f9ba8', 'd59169f8dea941e182dd2273c9100eec', '48c27c07e5784fdf911680a7033cfc94', '870b61f6e2964fae890b1c991faab8cf', 'ce80da8895b548cd99de580ba2cf9404', 'b0e72296f4cf4c03aab664d547965417', '47da3165076648ccb557230fd88743bc', 'e833a391018b4d29b3ae5d30c36ee05b', '20e8cbbab1db4a80b0ff9ef44b24ff84', '813a35a060874ab3ae909b9ee50d09d5', '9a40bad8a4924a7c96fe59b54cab97c8', '5c559440b54d4a0aa719c61e3b14b614', '932bc54811184cfa895ef97c13d66dbb', '040ef2d7898440928d483c01607e452c', '3172c9ea100347149df28a34edf8f7b5', '59eaa609868944d3bdd05c6fe7f18978', 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'2db3d4aa93d640a1aa4556c0bb54aa97', '6b5644749deb4dd89aae2aac079fc94a', '6faff9f777454ef099a28c28bcb51a3e', 'b9b5c477e00a4232b6b0ce89c0c69345', '5a4845f5897246dd847c379ea2bf6778', '570fe3799c26423ca416b5b3d1b5f6af', 'cbb5592b40b94720846def25b0e18ddd', '4b51943615c84d26b74dc8e2627899b6', '40143cac0c2d453eb0845b5141e72a6d', 'a18ee17f50d745e1857af93a4a995493', '64ecc9cd3b0148ad8742256a13d99707', 'fb9113f790214c36a5edbbecdccaf13d', '77d8fec3fde8488482ee2386914757ba', 'b48704d19f9146a0b2e1e2ad6a2bc67a', '43d009b03e0043b7bc678a38f042d43f', '17b404b9192a48d180a9687f1edde5b9', '045af6806c5b4ea695d7d94cdc6ed8f5', 'a33a53829432433cad19e5c7f1db22f2', 'b1365d213a7d4afba68dd41e538461cd', '16e6e5a647174b5f8686d64dc6619437', 'b81ba8950a39496483eee2c084009c7f', '6342937602ef4c9484cf427fddc89208', '26b8abe655284388813092e3da227ba2', 'b960dcea0dfb4e189e6be48e6f502231', '831a59ee925c46ccb2b97e60810d67a5', '8063aa44876d470f879716db74c86c44', '919d52dc302f4c7796de5395539ac101', 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n = int(input()) memo = [[0 for i in range(10)] for j in range(10)] for i in range(1,n+1): i_first = int(str(i)[0]) i_last = int(str(i)[-1]) memo[i_first][i_last] += 1 ans = 0 for i in range(1,n+1): i_first = int(str(i)[0]) i_last = int(str(i)[-1]) ans += memo[i_last][i_first] print(ans)
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# Copyright 2017 The TensorFlow Authors. 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. # ============================================================================== """create_def_file.py - tool to create a windows def file. The def file can be used to export symbols from the tensorflow dll to enable tf.load_library(). Because the linker allows only 64K symbols to be exported per dll we filter the symbols down to the essentials. The regular expressions we use for this are specific to tensorflow. TODO: this works fine but there is an issue with exporting 'const char * const' and importing it from a user_ops. The problem is on the importing end and using __declspec(dllimport) works around it. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function import argparse import codecs import os import re import subprocess import sys import tempfile # External tools we use that come with visual studio sdk and # we assume that the caller has the correct PATH to the sdk UNDNAME = "undname.exe" DUMPBIN = "dumpbin.exe" # Exclude if matched EXCLUDE_RE = re.compile(r"RTTI|deleting destructor|::internal::") # Include if matched before exclude INCLUDEPRE_RE = re.compile(r"google::protobuf::internal::ExplicitlyConstructed|" r"tensorflow::internal::LogMessage|" r"tensorflow::internal::LogString|" r"tensorflow::internal::CheckOpMessageBuilder|" r"tensorflow::internal::PickUnusedPortOrDie|" r"tensorflow::internal::ValidateDevice|" r"tensorflow::ops::internal::Enter|" r"tensorflow::strings::internal::AppendPieces|" r"tensorflow::strings::internal::CatPieces|" r"tensorflow::io::internal::JoinPathImpl") # Include if matched after exclude INCLUDE_RE = re.compile(r"^(TF_\w*)$|" r"^(TFE_\w*)$|" r"tensorflow::|" r"functor::|" r"nsync_|" r"perftools::gputools") # We want to identify data members explicitly in the DEF file, so that no one # can implicitly link against the DLL if they use one of the variables exported # from the DLL and the header they use does not decorate the symbol with # __declspec(dllimport). It is easier to detect what a data symbol does # NOT look like, so doing it with the below regex. DATA_EXCLUDE_RE = re.compile(r"[)(]|" r"vftable|" r"vbtable|" r"vcall|" r"RTTI|" r"protobuf::internal::ExplicitlyConstructed") def get_args(): """Parse command line.""" filename_list = lambda x: x.split(";") parser = argparse.ArgumentParser() parser.add_argument("--input", type=filename_list, help="paths to input libraries separated by semicolons", required=True) parser.add_argument("--output", help="output deffile", required=True) parser.add_argument("--target", help="name of the target", required=True) args = parser.parse_args() return args def main(): """main.""" args = get_args() # Pipe dumpbin to extract all linkable symbols from libs. # Good symbols are collected in candidates and also written to # a temp file. candidates = [] tmpfile = tempfile.NamedTemporaryFile(mode="w", delete=False) for lib_path in args.input: proc = subprocess.Popen([DUMPBIN, "/nologo", "/linkermember:1", lib_path], stdout=subprocess.PIPE) for line in codecs.getreader("utf-8")(proc.stdout): cols = line.split() if len(cols) < 2: continue sym = cols[1] tmpfile.file.write(sym + "\n") candidates.append(sym) exit_code = proc.wait() if exit_code != 0: print("{} failed, exit={}".format(DUMPBIN, exit_code)) return exit_code tmpfile.file.close() # Run the symbols through undname to get their undecorated name # so we can filter on something readable. with open(args.output, "w") as def_fp: # track dupes taken = set() # Header for the def file. def_fp.write("LIBRARY " + args.target + "\n") def_fp.write("EXPORTS\n") def_fp.write("\t ??1OpDef@tensorflow@@UEAA@XZ\n") # Each symbols returned by undname matches the same position in candidates. # We compare on undname but use the decorated name from candidates. dupes = 0 proc = subprocess.Popen([UNDNAME, tmpfile.name], stdout=subprocess.PIPE) for idx, line in enumerate(codecs.getreader("utf-8")(proc.stdout)): decorated = candidates[idx] if decorated in taken: # Symbol is already in output, done. dupes += 1 continue if not INCLUDEPRE_RE.search(line): if EXCLUDE_RE.search(line): continue if not INCLUDE_RE.search(line): continue if "deleting destructor" in line: # Some of the symbols convered by INCLUDEPRE_RE export deleting # destructor symbols, which is a bad idea. # So we filter out such symbols here. continue if DATA_EXCLUDE_RE.search(line): def_fp.write("\t" + decorated + "\n") else: def_fp.write("\t" + decorated + " DATA\n") taken.add(decorated) exit_code = proc.wait() if exit_code != 0: print("{} failed, exit={}".format(UNDNAME, exit_code)) return exit_code os.unlink(tmpfile.name) print("symbols={}, taken={}, dupes={}" .format(len(candidates), len(taken), dupes)) return 0 if __name__ == "__main__": sys.exit(main())
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import sys, pygame pygame.init() size = width, height = 320, 240 speed = [2, 2] black = 0, 0, 0 screen = pygame.display.set_mode(size) ball = pygame.image.load("ball.gif") ballrect = ball.get_rect() while 1: for event in pygame.event.get(): if event.type == pygame.QUIT: sys.exit() ballrect = ballrect.move(speed) if ballrect.left < 0 or ballrect.right > width: speed[0] = -speed[0] if ballrect.top < 0 or ballrect.bottom > height: speed[1] = -speed[1] screen.fill(black) screen.blit(ball, ballrect) pygame.display.flip()
[ "evgeni.todorov@tum.de" ]
evgeni.todorov@tum.de
2960b03d31a1e34b49cacd7b63cd200e1d241e6a
1eddc123709611cf2ddccb0b7d48b722b2a09a5d
/plugins/modules/fmgr_system_logfetch_clientprofile_logfilter.py
49cafb7d5012d7b13262ce02ae1d2cec38bf9dec
[]
no_license
fortinet-ansible-dev/ansible-galaxy-fortimanager-collection
bfb2014a72007358b491bb1d27c0fa3191ec62a8
63b65abce410ed4d6b76e3dd1dcf7a4341cc173d
refs/heads/main
2023-07-09T04:33:38.304263
2023-06-21T21:11:57
2023-06-21T21:11:57
242,629,431
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null
2022-12-16T15:57:16
2020-02-24T02:28:03
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#!/usr/bin/python from __future__ import absolute_import, division, print_function # Copyright 2019-2023 Fortinet, Inc. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <https://www.gnu.org/licenses/>. __metaclass__ = type ANSIBLE_METADATA = {'status': ['preview'], 'supported_by': 'community', 'metadata_version': '1.1'} DOCUMENTATION = ''' --- module: fmgr_system_logfetch_clientprofile_logfilter short_description: Log content filters. description: - This module is able to configure a FortiManager device. - Examples include all parameters and values which need to be adjusted to data sources before usage. version_added: "2.0.0" author: - Xinwei Du (@dux-fortinet) - Xing Li (@lix-fortinet) - Jie Xue (@JieX19) - Link Zheng (@chillancezen) - Frank Shen (@fshen01) - Hongbin Lu (@fgtdev-hblu) notes: - Running in workspace locking mode is supported in this FortiManager module, the top level parameters workspace_locking_adom and workspace_locking_timeout help do the work. - To create or update an object, use state present directive. - To delete an object, use state absent directive. - Normally, running one module can fail when a non-zero rc is returned. you can also override the conditions to fail or succeed with parameters rc_failed and rc_succeeded options: access_token: description: The token to access FortiManager without using username and password. required: false type: str bypass_validation: description: Only set to True when module schema diffs with FortiManager API structure, module continues to execute without validating parameters. required: false type: bool default: false enable_log: description: Enable/Disable logging for task. required: false type: bool default: false forticloud_access_token: description: Authenticate Ansible client with forticloud API access token. required: false type: str proposed_method: description: The overridden method for the underlying Json RPC request. required: false type: str choices: - update - set - add rc_succeeded: description: The rc codes list with which the conditions to succeed will be overriden. type: list required: false elements: int rc_failed: description: The rc codes list with which the conditions to fail will be overriden. type: list required: false elements: int state: description: The directive to create, update or delete an object. type: str required: true choices: - present - absent workspace_locking_adom: description: The adom to lock for FortiManager running in workspace mode, the value can be global and others including root. required: false type: str workspace_locking_timeout: description: The maximum time in seconds to wait for other user to release the workspace lock. required: false type: int default: 300 client-profile: description: the parameter (client-profile) in requested url type: str required: true system_logfetch_clientprofile_logfilter: description: the top level parameters set required: false type: dict suboptions: field: type: str description: Field name. id: type: int description: Log filter ID. oper: type: str description: - Field filter operator. - no description - no description - contain - Contain - not-contain - Not contain - match - Match choices: - '=' - '!=' - '<' - '>' - '<=' - '>=' - 'contain' - 'not-contain' - 'match' value: type: str description: Field filter operand or free-text matching expression. ''' EXAMPLES = ''' - name: gathering fortimanager facts hosts: fortimanager00 gather_facts: no connection: httpapi collections: - fortinet.fortimanager vars: ansible_httpapi_use_ssl: True ansible_httpapi_validate_certs: False ansible_httpapi_port: 443 tasks: - name: retrieve all the log content filters of profile setting fmgr_fact: facts: selector: 'system_logfetch_clientprofile_logfilter' params: client-profile: '1' # id log-filter: 'your_value' - hosts: fortimanager00 collections: - fortinet.fortimanager connection: httpapi vars: ansible_httpapi_use_ssl: True ansible_httpapi_validate_certs: False ansible_httpapi_port: 443 tasks: - name: Log content filters. fmgr_system_logfetch_clientprofile_logfilter: bypass_validation: False client-profile: 1 # id state: present system_logfetch_clientprofile_logfilter: field: 0 id: 1 oper: '!=' #<value in [=, !=, <, ...]> value: ansible ''' RETURN = ''' meta: description: The result of the request. type: dict returned: always contains: request_url: description: The full url requested. returned: always type: str sample: /sys/login/user response_code: description: The status of api request. returned: always type: int sample: 0 response_data: description: The api response. type: list returned: always response_message: description: The descriptive message of the api response. type: str returned: always sample: OK. system_information: description: The information of the target system. type: dict returned: always rc: description: The status the request. type: int returned: always sample: 0 version_check_warning: description: Warning if the parameters used in the playbook are not supported by the current FortiManager version. type: list returned: complex ''' from ansible.module_utils.basic import AnsibleModule from ansible.module_utils.connection import Connection from ansible_collections.fortinet.fortimanager.plugins.module_utils.napi import NAPIManager from ansible_collections.fortinet.fortimanager.plugins.module_utils.napi import check_galaxy_version from ansible_collections.fortinet.fortimanager.plugins.module_utils.napi import check_parameter_bypass def main(): jrpc_urls = [ '/cli/global/system/log-fetch/client-profile/{client-profile}/log-filter' ] perobject_jrpc_urls = [ '/cli/global/system/log-fetch/client-profile/{client-profile}/log-filter/{log-filter}' ] url_params = ['client-profile'] module_primary_key = 'id' module_arg_spec = { 'access_token': { 'type': 'str', 'required': False, 'no_log': True }, 'bypass_validation': { 'type': 'bool', 'required': False, 'default': False }, 'enable_log': { 'type': 'bool', 'required': False, 'default': False }, 'forticloud_access_token': { 'type': 'str', 'required': False, 'no_log': True }, 'proposed_method': { 'type': 'str', 'required': False, 'choices': [ 'set', 'update', 'add' ] }, 'rc_succeeded': { 'required': False, 'type': 'list', 'elements': 'int' }, 'rc_failed': { 'required': False, 'type': 'list', 'elements': 'int' }, 'state': { 'type': 'str', 'required': True, 'choices': [ 'present', 'absent' ] }, 'workspace_locking_adom': { 'type': 'str', 'required': False }, 'workspace_locking_timeout': { 'type': 'int', 'required': False, 'default': 300 }, 'client-profile': { 'required': True, 'type': 'str' }, 'system_logfetch_clientprofile_logfilter': { 'required': False, 'type': 'dict', 'revision': { '6.0.0': True, '6.2.0': True, '6.2.1': True, '6.2.2': True, '6.2.3': True, '6.2.5': True, '6.2.6': True, '6.2.7': True, '6.2.8': True, '6.2.9': True, '6.2.10': True, '6.4.0': True, '6.4.1': True, '6.4.2': True, '6.4.3': True, '6.4.4': True, '6.4.5': True, '6.4.6': True, '6.4.7': True, '6.4.8': True, '6.4.9': True, '6.4.10': True, '6.4.11': True, '7.0.0': True, '7.0.1': True, '7.0.2': True, '7.0.3': True, '7.0.4': True, '7.0.5': True, '7.0.6': True, '7.0.7': True, '7.2.0': True, '7.2.1': True }, 'options': { 'field': { 'required': False, 'revision': { '6.0.0': True, '6.2.1': True, '6.2.3': True, '6.2.5': True, '6.4.0': True, '6.4.2': True, '6.4.5': True, '7.0.0': True, '7.2.0': True, '6.2.0': True, '6.2.2': True, '6.2.6': True, '6.2.7': True, '6.2.8': True, '6.2.9': True, '6.2.10': True, '6.4.1': True, '6.4.3': True, '6.4.4': True, '6.4.6': True, '6.4.7': True, '6.4.8': True, '6.4.9': True, '6.4.10': True, '6.4.11': True, '7.0.1': True, '7.0.2': True, '7.0.3': True, '7.0.4': True, '7.0.5': True, '7.0.6': True, '7.0.7': True, '7.2.1': True, '7.2.2': False, '7.4.0': False }, 'type': 'str' }, 'id': { 'required': True, 'revision': { '6.0.0': True, '6.2.1': True, '6.2.3': True, '6.2.5': True, '6.4.0': True, '6.4.2': True, '6.4.5': True, '7.0.0': True, '7.2.0': True, '6.2.0': True, '6.2.2': True, '6.2.6': True, '6.2.7': True, '6.2.8': True, '6.2.9': True, '6.2.10': True, '6.4.1': True, '6.4.3': True, '6.4.4': True, '6.4.6': True, '6.4.7': True, '6.4.8': True, '6.4.9': True, '6.4.10': True, '6.4.11': True, '7.0.1': True, '7.0.2': True, '7.0.3': True, '7.0.4': True, '7.0.5': True, '7.0.6': True, '7.0.7': True, '7.2.1': True, '7.2.2': False, '7.4.0': False }, 'type': 'int' }, 'oper': { 'required': False, 'revision': { '6.0.0': True, '6.2.1': True, '6.2.3': True, '6.2.5': True, '6.4.0': True, '6.4.2': True, '6.4.5': True, '7.0.0': True, '7.2.0': True, '6.2.0': True, '6.2.2': True, '6.2.6': True, '6.2.7': True, '6.2.8': True, '6.2.9': True, '6.2.10': True, '6.4.1': True, '6.4.3': True, '6.4.4': True, '6.4.6': True, '6.4.7': True, '6.4.8': True, '6.4.9': True, '6.4.10': True, '6.4.11': True, '7.0.1': True, '7.0.2': True, '7.0.3': True, '7.0.4': True, '7.0.5': True, '7.0.6': True, '7.0.7': True, '7.2.1': True, '7.2.2': False, '7.4.0': False }, 'choices': [ '=', '!=', '<', '>', '<=', '>=', 'contain', 'not-contain', 'match' ], 'type': 'str' }, 'value': { 'required': False, 'revision': { '6.0.0': True, '6.2.1': True, '6.2.3': True, '6.2.5': True, '6.4.0': True, '6.4.2': True, '6.4.5': True, '7.0.0': True, '7.2.0': True, '6.2.0': True, '6.2.2': True, '6.2.6': True, '6.2.7': True, '6.2.8': True, '6.2.9': True, '6.2.10': True, '6.4.1': True, '6.4.3': True, '6.4.4': True, '6.4.6': True, '6.4.7': True, '6.4.8': True, '6.4.9': True, '6.4.10': True, '6.4.11': True, '7.0.1': True, '7.0.2': True, '7.0.3': True, '7.0.4': True, '7.0.5': True, '7.0.6': True, '7.0.7': True, '7.2.1': True, '7.2.2': False, '7.4.0': False }, 'type': 'str' } } } } params_validation_blob = [] check_galaxy_version(module_arg_spec) module = AnsibleModule(argument_spec=check_parameter_bypass(module_arg_spec, 'system_logfetch_clientprofile_logfilter'), supports_check_mode=False) fmgr = None if module._socket_path: connection = Connection(module._socket_path) connection.set_option('access_token', module.params['access_token'] if 'access_token' in module.params else None) connection.set_option('enable_log', module.params['enable_log'] if 'enable_log' in module.params else False) connection.set_option('forticloud_access_token', module.params['forticloud_access_token'] if 'forticloud_access_token' in module.params else None) fmgr = NAPIManager(jrpc_urls, perobject_jrpc_urls, module_primary_key, url_params, module, connection, top_level_schema_name='data') fmgr.validate_parameters(params_validation_blob) fmgr.process_curd(argument_specs=module_arg_spec) else: module.fail_json(msg='MUST RUN IN HTTPAPI MODE') module.exit_json(meta=module.params) if __name__ == '__main__': main()
[ "hq-devops-admin@fortinet.com" ]
hq-devops-admin@fortinet.com
a3505eec5c244a934af89056da0444db4381f88d
4fb4899758f3d8c5f1db07e8bc405b13ab4eb0b8
/kth-largest-element-in-an-array.py
94892abc4fb04595156d8e98c265ae30e953475a
[]
no_license
stephenosullivan/LT-Code
e70df6c52c4944c56bb604109c2fc5b537e28ae6
b93e46f6526be7a92ebe16f45998527e2b1dc494
refs/heads/master
2020-04-05T14:39:57.569699
2016-09-14T16:01:22
2016-09-14T16:01:22
15,329,855
1
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__author__ = 'stephenosullivan' class Solution: # @param {integer[]} nums # @param {integer} k # @return {integer} def findKthLargest(self, nums, k): return self.recursiveFind(nums,0,len(nums)-1,len(nums)-k) def recursiveFind(self,nums,left,right,k): if left == right: return nums[left] pivotIndex = int((left+right+1)/2) pivotIndex = self.partition(nums,left,right,pivotIndex) if k==pivotIndex: return nums[k] elif k<pivotIndex: return self.recursiveFind(nums,left,pivotIndex-1,k) else: return self.recursiveFind(nums,pivotIndex+1,right,k) def partition(self,nums,left,right,pivot): pivotVal = nums[pivot] index = left outindex = left nums[pivot],nums[right] = nums[right],nums[pivot] for index in range(left,right): if nums[index] < pivotVal: nums[index],nums[outindex] = nums[outindex],nums[index] outindex += 1 nums[outindex],nums[right] = nums[right],nums[outindex] return outindex
[ "osullisg@gmail.com" ]
osullisg@gmail.com
ea14a3b2cb23b70f118f638da113ae63a424dfcc
1ecde4178548f331f15717f245e3f657b58b9993
/yyx_crawler/scrapySchool_Canada_College/scrapySchool_Canada_College/spiders/RedRiverCollege_U.py
6ebd535948b6d3fbcd37154521d382317a534f13
[]
no_license
gasbarroni8/python_spider
296dcb7c3fd9dd028423fe5ec0a321d994478b15
7935fa462926bc8ea9bf9883bd15265dd0d3e6df
refs/heads/master
2023-03-26T05:22:59.858422
2019-04-15T07:17:56
2019-04-15T07:17:56
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__author__ = 'yangyaxia' __date__ = '2018/12/19 11:39' import scrapy import re from scrapySchool_Canada_College.getItem import get_item from scrapySchool_Canada_College.middlewares import * from scrapySchool_Canada_College.items import ScrapyschoolCanadaCollegeItem from w3lib.html import remove_tags from lxml import etree import requests class RedRiverCollege_USpider(scrapy.Spider): name = "RedRiverCollege_U" # 五个校区的专业列表链接 # start_urls = ["https://me.rrc.mb.ca/Catalogue/Programs.aspx?RegionCode=GC", # "https://me.rrc.mb.ca/Catalogue/Programs.aspx?RegionCode=PFR", # "https://me.rrc.mb.ca/Catalogue/Programs.aspx?RegionCode=PC", # "https://me.rrc.mb.ca/Catalogue/Programs.aspx?RegionCode=SC", # "https://me.rrc.mb.ca/Catalogue/Programs.aspx?RegionCode=WC", ] start_urls = ["https://me.rrc.mb.ca/Catalogue/Programs.aspx?DeliveryCode=F"] # print(len(start_urls)) start_urls = list(set(start_urls)) # print(len(start_urls)) def parse(self, response): # 获取每个校区full time的专业 links = response.xpath("//table//td[@align='left'][1]/a/@href").extract() # print("=========", response.url) print(len(links)) links = list(set(links)) print(len(links)) # 落抓的专业 # links = ["https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=TECCF-DP&RegionCode=WPG", # "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=SCILF-DP&RegionCode=WPG", # "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=ADVCF-DP&RegionCode=WPG", # "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=MUNEF-DP&RegionCode=WPG", # "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=INBSF-AD&RegionCode=WPG", # "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=INSCF-DP&RegionCode=WPG", # "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=INDEF-DP&RegionCode=WPG", # "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=INDAF-DP&RegionCode=WPG", # "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=GEOTF-DP&RegionCode=WPG", # "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=CONMF-DG&RegionCode=WPG", ] links = ["https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=INDEF-DP&RegionCode=WPG", "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=INSCF-DP&RegionCode=WPG", "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=MUNEF-DP&RegionCode=WPG", # "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=SCILF-DP&RegionCode=WPG", "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=TECCF-DP&RegionCode=WPG", "https://me.rrc.mb.ca/Catalogue/ProgramInfo.aspx?ProgCode=GEOTF-DP&RegionCode=WPG", ] for link in links: # url = "https://me.rrc.mb.ca/Catalogue/" + link url = link yield scrapy.Request(url, self.parse_data) def parse_data(self, response): item = get_item(ScrapyschoolCanadaCollegeItem) item['school_name'] = "Red River College" item['url'] = response.url print("===========================") print(response.url) # item['campus'] = '' # item['location'] = '11762 - 106 Street Edmonton, Alberta, Canada, T5G 2R1' item['other'] = """问题描述: 1.就业空的是页面没有的""" # item['require_chinese_en'] = '' # https://www.rrc.ca/future-students/fees/#application item['apply_pre'] = "CAD$" item['apply_fee'] = '120' try: major_name_en = response.xpath("//span[@id='_ctl0_lblProgramName']//text()").extract() clear_space(major_name_en) item['major_name_en'] = ''.join(major_name_en).strip() print("item['major_name_en']: ", item['major_name_en']) degree_name = response.xpath("//span[@id='_ctl0_ContentPlaceHolder1_lblDescriptionText']//ul/li[1]//text()").extract() clear_space(degree_name) print("degree_name: ", degree_name) duration_str = "" if len(degree_name) > 0: if "advanced diploma" in degree_name[0].lower(): item['degree_name'] = "advanced diploma" item['degree_level'] = 3 elif "diploma" in degree_name[0].lower(): item['degree_name'] = "diploma" item['degree_level'] = 3 elif "degree" in degree_name[0].lower(): item['degree_name'] = "Bachelor degree" item['degree_level'] = 1 duration_str = degree_name[0] print("item['degree_name']: ", item['degree_name']) print("item['degree_level']: ", item['degree_level']) if item['degree_level'] is not None: duration_re = re.findall(r"\w+\-year|[\w\W\-]+month", duration_str) print("duration_re: ", duration_re) # 判断课程长度单位 if len(duration_re) > 0: if "year" in ''.join(duration_re[0]).lower(): item['duration_per'] = 1 if "month" in ''.join(duration_re[0]).lower(): item['duration_per'] = 3 if "week" in ''.join(duration_re[0]).lower(): item['duration_per'] = 4 d_dict = {"One": "1", "Two": "2", "Three": "3", "Four": "4", "Five": "5", "Six": "6", "Seven": "7", "Eight": "8", "Nine": "9", "Ten": "10", "one": "1", "two": "2", "three": "3", "four": "4", "five": "5", "six": "6", "seven": "7", "eight": "8", "nine": "9", "ten": "10", } if len(duration_re) > 0: item['duration'] = d_dict.get(''.join(duration_re[0]).replace("year", "").replace("-", "").strip()) if item['duration'] is None: item['duration'] =duration_re[0].replace("month", "").replace("-", "").strip() if item['duration'] is None: item['duration'] = duration_re[0].strip() print("item['duration']: ", item['duration']) print("item['duration_per']: ", item['duration_per']) overview = response.xpath( "//b[contains(text(),'Description')]/..|//strong[contains(text(),'Description')]/..|" "//strong[contains(text(),'Description')]/../following-sibling::*").extract() if len(overview) == 0: overview = response.xpath("//u[contains(text(),'Description')]/../..|//u[contains(text(),'Description')]/../../following-sibling::*|" "//b//span[@lang='EN-US']/../..|//b//span[@lang='EN-US']/../../following-sibling::*|" "//span[contains(text(),'Description')]/../..|//span[contains(text(),'Description')]/../../following-sibling::*|" "//span[@id='_ctl0_ContentPlaceHolder1_lblDescriptionText']//p//strong//em/../..|//span[@id='_ctl0_ContentPlaceHolder1_lblDescriptionText']//p//strong//em/../../following-sibling::*").extract() if len(overview) > 0: item['overview_en'] = remove_class(clear_lianxu_space(overview)) # print("item['overview_en']: ", item['overview_en']) entry_requirements_en_url = response.xpath( "//a[@id='_ctl0_rProgramMenu__ctl1_MenuLink']/@href").extract() # print("entry_requirements_en_url: ", entry_requirements_en_url) if len(entry_requirements_en_url) > 0: item['entry_requirements_en'] = self.parse_entry_requirements_en("https://me.rrc.mb.ca/Catalogue/"+entry_requirements_en_url[0]) # if "'" in item['entry_requirements_en']: # item['entry_requirements_en'] = item['entry_requirements_en'].strip("'") ielts_list = self.parse_ielts("https://me.rrc.mb.ca/Catalogue/"+entry_requirements_en_url[0]) if len(ielts_list) > 0: if "," in ielts_list[1]: ielts_split = ielts_list[1].split(',') for ie in ielts_split: if "Listening" in ie: item['ielts_l'] = ie.replace("Listening", "").strip() if "Speaking" in ie: item['ielts_s'] = ie.replace("Speaking", "").strip() if "Reading" in ie: item['ielts_r'] = ie.replace("Reading", "").strip() if "Writing" in ie: item['ielts_w'] = ie.replace("Writing", "").strip() print("item['ielts_l']: ", item['ielts_l']) print("item['ielts_s']: ", item['ielts_s']) print("item['ielts_r']: ", item['ielts_r']) print("item['ielts_w']: ", item['ielts_w']) print("item['entry_requirements_en']: ", item['entry_requirements_en']) modules_url = response.xpath( "//a[contains(text(), 'Courses and Descriptions')]/@href").extract() # print("modules_url: ", modules_url) if len(modules_url) > 0: item['modules_en'] = self.parse_modules("https://me.rrc.mb.ca/Catalogue/" + modules_url[0]) # print("item['modules_en']: ", item['modules_en']) career_url = response.xpath( "//a[contains(text(), 'Employment Potential')]/@href").extract() # print("career_url: ", career_url) if len(career_url) > 0: item['career_en'] = self.parse_entry_requirements_en("https://me.rrc.mb.ca/Catalogue/" + career_url[0]) # print("item['career_en']: ", item['career_en']) location_date_tuition_url = response.xpath( "//a[contains(text(), 'Locations, Dates and Fees')]/@href").extract() print("location_date_tuition_url: ", location_date_tuition_url) item['tuition_fee_per'] = "1" item['tuition_fee_pre'] = "CAD$" if len(location_date_tuition_url) > 0: print("--------0-------") location_date_tuition_dict = self.parse_location_date_tuition("https://me.rrc.mb.ca/Catalogue/" + location_date_tuition_url[0]) item['tuition_fee'] = location_date_tuition_dict.get('tuition_fee') campus_list = location_date_tuition_dict.get('campus_list') start_date_list = location_date_tuition_dict.get('start_date_list') monthDict = {"january": "01", "february": "02", "march": "03", "april": "04", "may": "05", "june": "06", "july": "07", "august": "08", "september": "09", "october": "10", "november": "11", "december": "12", "jan": "01", "feb": "02", "mar": "03", "apr": "04", "jun": "06", "jul": "07", "aug": "08", "sep": "09", "oct": "10", "nov": "11", "dec": "12", "sept": "09", } if len(start_date_list) > 0: # 将每个日期转成需要的日期格式 for sta in range(len(start_date_list)): month_re = re.findall(r"[A-Za-z]+", start_date_list[sta]) day_re = re.findall(r"\d+,", start_date_list[sta]) year_re = re.findall(r"\d{4}", start_date_list[sta]) # print(monthDict.get(''.join(month_re).lower().strip())) if monthDict.get(''.join(month_re).lower().strip()) is not None: start_date_list[sta] = ''.join(year_re) + "-" + monthDict.get(''.join(month_re).lower().strip()) + "-" + ''.join(day_re) print("start_date_list1: ", start_date_list) if len(start_date_list) == len(campus_list): print("--------1-------") if len(campus_list) > 0: for c in range(len(campus_list)): item['campus'] = campus_list[c] item['start_date'] = start_date_list[c].strip().strip(',').strip() yield item else: yield item else: print("--------2-------") item['start_date'] = ''.join(start_date_list).strip().strip(',').strip() yield item else: print("--------3-------") yield item except Exception as e: with open("scrapySchool_Canada_College/error/" + item['school_name'] + ".txt", 'a', encoding="utf-8") as f: f.write(str(e) + "\n" + response.url + "\n========================\n") print("异常:", str(e)) print("报错url:", response.url) def parse_modules(self, modules_url): headers_base = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"} data = requests.get(modules_url, headers=headers_base) response = etree.HTML(data.text) modules_en = response.xpath( "//table[@class='itsCourseListTable']") modules_en_str = "" if len(modules_en) > 0: for m in modules_en: modules_en_str += etree.tostring(m, encoding='unicode', method='html') modules_en = remove_class(clear_lianxu_space([modules_en_str])) return modules_en def parse_entry_requirements_en(self, entry_requirements_en_url): headers_base = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"} data = requests.get(entry_requirements_en_url, headers=headers_base) response = etree.HTML(data.text) entry_requirements_en = response.xpath( "//table[@width='100%']") entry_requirements_en_str = "" if len(entry_requirements_en) > 0: for m in entry_requirements_en: entry_requirements_en_str += etree.tostring(m, encoding='unicode', method='html') entry_requirements_en = remove_class(clear_lianxu_space([entry_requirements_en_str])) # print("entry_requirements_en: ", entry_requirements_en) # # ielts = response.xpath("//*[contains(text(), 'International English Language Testing System (IELTS - Academic):')]//text()") # clear_space(ielts) # print("ielts: ", ielts) # # entry_data_dict = {} # entry_data_dict['entry_requirements_en'] = entry_requirements_en # entry_data_dict['ielts_list'] = ielts return entry_requirements_en def parse_ielts(self, entry_requirements_en_url): headers_base = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"} data = requests.get(entry_requirements_en_url, headers=headers_base) response = etree.HTML(data.text) ielts_list = response.xpath("//*[contains(text(), 'International English Language Testing System (IELTS - Academic):')]//text()") clear_space(ielts_list) print("ielts_list: ", ielts_list) return ielts_list def parse_location_date_tuition(self, location_date_tuition_url): headers_base = { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Safari/537.36"} data = requests.get(location_date_tuition_url, headers=headers_base) response = etree.HTML(data.text) tuition_fee = response.xpath("//font[contains(text(),'Program/Student Fees (International)')]/../../following-sibling::tr[1]/td[2]//text()") clear_space(tuition_fee) print("tuition_fee: ", tuition_fee) tuition_fee_str = "" if len(tuition_fee) > 0: tuition_fee_str = ''.join(tuition_fee[0]).replace("$", "").strip() print("tuition_fee_str: ", tuition_fee_str) campus_list = response.xpath( "//tr[@class='itsProgramDateHeading']/following-sibling::tr/td[1]//text()") clear_space(campus_list) print("campus_list: ", campus_list) start_date_list = response.xpath( "//tr[@class='itsProgramDateHeading']/following-sibling::tr/td[2]//text()") clear_space(start_date_list) print("start_date_list: ", start_date_list) data_dict = {} data_dict['tuition_fee'] = tuition_fee_str data_dict['campus_list'] = campus_list data_dict['start_date_list'] = start_date_list return data_dict
[ "1102213456@qq.com" ]
1102213456@qq.com
5afb9b6b49f791278da028950a5e4ee455494382
200d924e3a24343f057919cb46b39516c3b228cd
/src/controller/python/test/unit_tests/test_cluster_objects.py
b687cca0036223fe589012e24937fc193665f2e0
[ "Apache-2.0", "LicenseRef-scancode-unknown-license-reference" ]
permissive
ARMmbed/connectedhomeip
4a992fb91019eb4106ced03944d2669fd735d697
81310d6b73c5d3415c9f76972698a9c3185c127e
refs/heads/master
2023-03-11T03:49:03.271328
2022-08-26T13:54:13
2022-08-26T13:54:13
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2023-03-06T16:05:41
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import typing import unittest from dataclasses import dataclass from chip.clusters import ClusterObjects from chip.tlv import TLVReader, TLVWriter, uint import chip.ChipUtility ''' This file contains tests for checking if the cluster object can generate correct TLV data. For readability, the TLV related tests are placed in test_tlv.py, and we will test the following case: 1. Generate a struct, encode it, and decode it using TLVReader 2. Generate a dict, encode it using TLVWriter, and decode it using the cluster objects If TLVReader / TLVWriter emitted wrong TLV data, related test cases should be added to test_tlv.py. To avoid failures caused by schema change, this file should only contain manually crafted structs. ''' def _encode_and_then_decode_to_native(data: ClusterObjects.ClusterObject): tlv = data.ToTLV() return TLVReader(tlv).get()['Any'] def _encode_attribute_and_then_decode_to_native(data, type: ClusterObjects.ClusterAttributeDescriptor): return TLVReader(type.ToTLV(None, data)).get()['Any'] def _encode_from_native_and_then_decode(data, cls: typing.Union[ClusterObjects.ClusterObject, ClusterObjects.ClusterAttributeDescriptor]): tlv = TLVWriter() tlv.put(None, data) return cls.FromTLV(bytes(tlv.encoding)) class TestClusterObjects(unittest.TestCase): @dataclass class C(ClusterObjects.ClusterObject): @chip.ChipUtility.classproperty def descriptor(cls) -> ClusterObjects.ClusterObjectDescriptor: return ClusterObjects.ClusterObjectDescriptor( Fields=[ ClusterObjects.ClusterObjectFieldDescriptor( Label="X", Tag=0, Type=uint), ClusterObjects.ClusterObjectFieldDescriptor( Label="Y", Tag=1, Type=int), ]) X: 'uint' = None Y: 'int' = None def test_basic_encode(self): data = TestClusterObjects.C(X=5, Y=23) res = _encode_and_then_decode_to_native(data) self.assertEqual(res, {0: 5, 1: 23}) def test_basic_decode(self): res = _encode_from_native_and_then_decode( {0: uint(5), 1: 23}, TestClusterObjects.C) self.assertEqual(res, TestClusterObjects.C(X=5, Y=23)) @dataclass class StructWithArray(ClusterObjects.ClusterObject): @chip.ChipUtility.classproperty def descriptor(cls) -> ClusterObjects.ClusterObjectDescriptor: return ClusterObjects.ClusterObjectDescriptor( Fields=[ ClusterObjects.ClusterObjectFieldDescriptor( Label="X", Tag=0, Type=typing.List[uint]), ClusterObjects.ClusterObjectFieldDescriptor( Label="Y", Tag=1, Type=int), ]) X: typing.List['uint'] = None Y: int = None def test_struct_w_array_encode(self): data = TestClusterObjects.StructWithArray(X=[5, 6], Y=23) res = _encode_and_then_decode_to_native(data) self.assertEqual(res, {0: [5, 6], 1: 23}) def test_struct_w_array_decode(self): res = _encode_from_native_and_then_decode( {0: [uint(5), uint(6)], 1: 23}, TestClusterObjects.StructWithArray) self.assertEqual( res, TestClusterObjects.StructWithArray(X=[5, 6], Y=23)) @dataclass class StructWithEmbeddedStructAndString(ClusterObjects.ClusterObject): @chip.ChipUtility.classproperty def descriptor(cls) -> ClusterObjects.ClusterObjectDescriptor: return ClusterObjects.ClusterObjectDescriptor( Fields=[ ClusterObjects.ClusterObjectFieldDescriptor( Label="X", Tag=0, Type=str), ClusterObjects.ClusterObjectFieldDescriptor( Label="Y", Tag=1, Type=TestClusterObjects.C), ClusterObjects.ClusterObjectFieldDescriptor( Label="Z", Tag=2, Type=bytes), ]) X: 'str' = None Y: 'TestClusterObjects.C' = None Z: 'bytes' = None def test_struct_w_string_and_string_encode(self): data = TestClusterObjects.StructWithEmbeddedStructAndString( X='test-str', Y=TestClusterObjects.C(X=12, Y=34), Z=b'byte-string') res = _encode_and_then_decode_to_native(data) self.assertEqual( res, {0: 'test-str', 1: {0: 12, 1: 34}, 2: b'byte-string'}) def test_struct_w_string_and_string_decode(self): res = _encode_from_native_and_then_decode( {0: 'test-str', 1: {0: uint(12), 1: 34}, 2: b'byte-string'}, TestClusterObjects.StructWithEmbeddedStructAndString) self.assertEqual( res, TestClusterObjects.StructWithEmbeddedStructAndString( X='test-str', Y=TestClusterObjects.C(X=12, Y=34), Z=b'byte-string')) @dataclass class StructWithArrayOfStructWithArray(ClusterObjects.ClusterObject): @chip.ChipUtility.classproperty def descriptor(cls) -> ClusterObjects.ClusterObjectDescriptor: return ClusterObjects.ClusterObjectDescriptor( Fields=[ ClusterObjects.ClusterObjectFieldDescriptor( Label="X", Tag=0, Type=typing.List[str]), ClusterObjects.ClusterObjectFieldDescriptor( Label="Y", Tag=1, Type=typing.List[TestClusterObjects.C]), ClusterObjects.ClusterObjectFieldDescriptor( Label="Z", Tag=2, Type=typing.List[TestClusterObjects.StructWithArray]), # Recursive! ClusterObjects.ClusterObjectFieldDescriptor( Label="W", Tag=3, Type=typing.List[TestClusterObjects.StructWithArrayOfStructWithArray]), ]) X: typing.List['str'] = None Y: typing.List['TestClusterObjects.C'] = None Z: typing.List['TestClusterObjects.StructWithArray'] = None W: typing.List['TestClusterObjects.StructWithArrayOfStructWithArray'] = None def test_struct_with_array_of_struct_with_array_encode(self): C = TestClusterObjects.C SWA = TestClusterObjects.StructWithArray SWAOSWA = TestClusterObjects.StructWithArrayOfStructWithArray data = TestClusterObjects.StructWithArrayOfStructWithArray( X=['test-str1', 'test-str2', 'test-str3'], Y=[C(X=12, Y=34), C(X=56, Y=78), C(X=23, Y=33)], Z=[SWA(X=[12, 34], Y=5678), SWA(X=[1, 3], Y=57), SWA(X=[2, 4], Y=68), SWA(X=[233, 333], Y=333)], W=[SWAOSWA(X=['test-str4'], Y=[C(X=55, Y=66)], Z=[SWA(X=[123], Y=456)], W=[])]) res = _encode_and_then_decode_to_native(data) self.assertEqual( res, {0: ['test-str1', 'test-str2', 'test-str3'], 1: [{0: 12, 1: 34}, {0: 56, 1: 78}, {0: 23, 1: 33}], 2: [{0: [12, 34], 1: 5678}, {0: [1, 3], 1: 57}, {0: [2, 4], 1: 68}, {0: [233, 333], 1: 333}], 3: [{0: ['test-str4'], 1: [{0: 55, 1: 66}], 2: [{0: [123], 1: 456}], 3: []}]}) def test_struct_with_array_of_struct_with_array_decode(self): res = _encode_from_native_and_then_decode( {0: ['test-str1', 'test-str2', 'test-str3'], 1: [{0: uint(12), 1: 34}, {0: uint(56), 1: 78}, {0: uint(23), 1: 33}], 2: [{0: [uint(12), uint(34)], 1: 5678}, {0: [uint(1), uint(3)], 1: 57}, {0: [uint(2), uint(4)], 1: 68}, {0: [uint(233), uint(333)], 1: 333}], 3: [{0: ['test-str4'], 1: [{0: uint(55), 1: 66}], 2: [{0: [uint(123)], 1: 456}], 3: []}]}, TestClusterObjects.StructWithArrayOfStructWithArray) C = TestClusterObjects.C SWA = TestClusterObjects.StructWithArray SWAOSWA = TestClusterObjects.StructWithArrayOfStructWithArray data = TestClusterObjects.StructWithArrayOfStructWithArray( X=['test-str1', 'test-str2', 'test-str3'], Y=[C(X=12, Y=34), C(X=56, Y=78), C(X=23, Y=33)], Z=[SWA(X=[12, 34], Y=5678), SWA(X=[1, 3], Y=57), SWA(X=[2, 4], Y=68), SWA(X=[233, 333], Y=333)], W=[SWAOSWA(X=['test-str4'], Y=[C(X=55, Y=66)], Z=[SWA(X=[123], Y=456)], W=[])]) self.assertEqual(res, data) class TestAttributeDescriptor(unittest.TestCase): class IntAttribute(ClusterObjects.ClusterAttributeDescriptor): @chip.ChipUtility.classproperty def attribute_type(cls) -> ClusterObjects.ClusterObjectFieldDescriptor: return ClusterObjects.ClusterObjectFieldDescriptor(Type=int) def test_basic_encode(self): res = _encode_attribute_and_then_decode_to_native( 42, TestAttributeDescriptor.IntAttribute) self.assertEqual(res, 42) def test_basic_decode(self): res = _encode_from_native_and_then_decode( 42, TestAttributeDescriptor.IntAttribute) self.assertEqual(res, 42) class StructAttribute(ClusterObjects.ClusterAttributeDescriptor): @chip.ChipUtility.classproperty def attribute_type(cls) -> ClusterObjects.ClusterObjectFieldDescriptor: return ClusterObjects.ClusterObjectFieldDescriptor(Type=TestClusterObjects.C) def test_struct_encode(self): res = _encode_attribute_and_then_decode_to_native( TestClusterObjects.C(X=42, Y=24), TestAttributeDescriptor.StructAttribute) self.assertEqual(res, {0: 42, 1: 24}) def test_struct_decode(self): res = _encode_from_native_and_then_decode( {0: uint(42), 1: 24}, TestClusterObjects.C) self.assertEqual(res, TestClusterObjects.C(X=42, Y=24)) class ArrayAttribute(ClusterObjects.ClusterAttributeDescriptor): @chip.ChipUtility.classproperty def attribute_type(cls) -> ClusterObjects.ClusterObjectFieldDescriptor: return ClusterObjects.ClusterObjectFieldDescriptor(Type=typing.List[int]) def test_array_encode(self): res = _encode_attribute_and_then_decode_to_native( [1, 2, 3, 4, 5], TestAttributeDescriptor.ArrayAttribute) self.assertEqual(res, [1, 2, 3, 4, 5]) def test_array_decode(self): res = _encode_from_native_and_then_decode( [1, 2, 3, 4, 5], TestAttributeDescriptor.ArrayAttribute) self.assertEqual(res, [1, 2, 3, 4, 5]) if __name__ == '__main__': unittest.main()
[ "noreply@github.com" ]
ARMmbed.noreply@github.com
e9d0c5ae757e80692fa2dc5b31504379db90cd78
2dadc071440a236c32645e5af81d0aa72d68050f
/statistics/estimate_time_visit.py
c0a81f14a1fa6fb9114a84a2e5f8c36978262938
[]
no_license
sunary/data-science
a58d572d05c7c14b7ab5d281889d7206838d97ab
ac5d2af680948e76cf21248797a7014b27e96703
refs/heads/master
2023-04-12T08:42:13.950495
2023-03-28T01:05:32
2023-03-28T01:05:32
43,934,997
4
3
null
2023-03-31T14:29:53
2015-10-09T05:31:13
Python
UTF-8
Python
false
false
6,795
py
__author__ = 'sunary' from datetime import datetime, timedelta class BehaviorEstimate(): ''' Estimate next time visit page in REST crawler ''' LENGTH_HISTOGRAM = 50 CUMULATIVE_DAYS_VISIT = 14 PERCENT_SUBTRACT = 2.0 def __init__(self, min_times=0.2, max_times=10.0, scale_times=3.0): self.MIN_TIMES_VISIT_PER_DAY = min_times self.MAX_TIMES_VISIT_PER_DAY = max_times self.SCALE_TIMES_VISIT = scale_times self.histogram = [100.0/self.LENGTH_HISTOGRAM] * self.LENGTH_HISTOGRAM self.average_times_visit_per_day = self.SCALE_TIMES_VISIT self.activated_date = None self.range_day = 0 self.date_visit = [{'date': datetime(2015, 1, 1), 'times_visit': 0} for _ in range(self.CUMULATIVE_DAYS_VISIT + 6)] self.time_msg = None self.date_has_message = None def set(self, data): ''' Set estimate data Args: data (dict): {'histogram': , 'activated_date': , 'date_visit': } ''' self.histogram = data.get('histogram') if data.get('histogram') else self.histogram self.activated_date = data.get('activated_date') if data.get('activated_date') else self.activated_date self.date_visit = data.get('date_visit') if data.get('date_visit') else self.date_visit def get(self): data_update = {} data_update['histogram'] = self.histogram data_update['activated_date'] = self.activated_date data_update['date_visit'] = self.date_visit data_update['next_crawl_time'] = self._next_time_visit() return data_update def has_messages(self, time_msg): ''' Change status if page have a message Args: time_msg: time message was created ''' self.time_msg = time_msg self.date_has_message = self.time_msg.replace(hour= 0, minute= 0, second= 0, microsecond= 0) if not self.activated_date or self.activated_date > self.time_msg: self.activated_date = self.date_has_message elif self.range_day < self.CUMULATIVE_DAYS_VISIT: self.range_day = (self.time_msg - self.activated_date).days self.range_day = self.CUMULATIVE_DAYS_VISIT if self.range_day > self.CUMULATIVE_DAYS_VISIT else self.range_day for i in range(len(self.date_visit)): if self.date_visit[i]['date'] == self.date_has_message: self.date_visit[i]['times_visit'] += 1 break else: for i in range(len(self.date_visit)): if self.date_visit[i]['date'] < (self.date_has_message - timedelta(days=self.CUMULATIVE_DAYS_VISIT)): self.date_visit[i]['date'] = self.date_has_message self.date_visit[i]['times_visit'] = 1 break self._update() def _update(self): total_visit = 0 for i in range(len(self.date_visit)): if self.date_visit[i]['date'] < self.date_has_message and self.date_visit[i]['date'] >= (self.date_has_message - timedelta(days=self.CUMULATIVE_DAYS_VISIT)): total_visit += self.date_visit[i]['times_visit'] if self.range_day == 0: for i in range(len(self.date_visit)): if self.date_visit[i]['date'] == self.date_has_message: self.average_times_visit_per_day = max(self.date_visit[i]['times_visit'], self.SCALE_TIMES_VISIT) break else: self.average_times_visit_per_day = total_visit*self.SCALE_TIMES_VISIT/self.range_day self.average_times_visit_per_day = self.MAX_TIMES_VISIT_PER_DAY if (self.average_times_visit_per_day > self.MAX_TIMES_VISIT_PER_DAY)\ else self.average_times_visit_per_day self.average_times_visit_per_day = self.MIN_TIMES_VISIT_PER_DAY if (self.average_times_visit_per_day < self.MIN_TIMES_VISIT_PER_DAY)\ else self.average_times_visit_per_day for i in range(len(self.histogram)): self.histogram[i] -= self.histogram[i]*self.PERCENT_SUBTRACT/100 self.histogram[self._order_histogram()] += self.PERCENT_SUBTRACT def _next_time_visit(self): ''' Get next time visit page by status Returns: (datetime) next time visit ''' num_unit = 0 order_histogram = self._order_histogram() probability_visit = 0 while probability_visit < 1: num_unit += 1 probability_visit += self.histogram[order_histogram]*self.average_times_visit_per_day/100 order_histogram = (order_histogram + 1) % self.LENGTH_HISTOGRAM return datetime.today() + timedelta(minutes=num_unit*24*60/self.LENGTH_HISTOGRAM) def _order_histogram(self): ''' get order histogram to next time visit Returns: int: order of histogram ''' if not self.time_msg: self.time_msg = datetime.utcnow() minutes = self.time_msg.hour*60 + self.time_msg.minute return minutes*self.LENGTH_HISTOGRAM/(24*60) def _change_len_histogram(self, new_len_histogram): new_histogram = [0]*new_len_histogram for i in range(len(new_histogram)): new_histogram[i] = self.histogram[int(round(i*self.LENGTH_HISTOGRAM*1.0/new_len_histogram))] sum_new_histogram = 0 for i in range(len(new_histogram)): sum_new_histogram += new_histogram[i] for i in range(len(new_histogram)): new_histogram[i] *= 100.0/sum_new_histogram self.histogram = new_histogram self.LENGTH_HISTOGRAM = new_len_histogram @staticmethod def datetime_from_string(str_date, date_format='iso'): ''' convert string to datetime Examples: >>> BehaviorEstimate.datetime_from_string('2015-07-17 06:07:22.375866') datetime.datetime(2015, 07, 17, 06, 07, 22) >>> BehaviorEstimate.datetime_from_string('Wed Oct 07 15:49:44 +0000 2009') datetime.datetime(2009, 10, 07, 15, 49, 44) ''' if date_format == 'iso': return datetime.strptime(str_date, '%Y-%m-%d %H:%M:%S') elif date_format == 'mongo': str_date = str_date.split('.')[0] return datetime.strptime(str_date, '%Y-%m-%d %H:%M:%S') elif date_format == 'twitter': str_date = str_date.split(' ') del str_date[4] str_date = ' '.join(str_date) return datetime.strptime(str_date, '%a %b %d %H:%M:%S %Y') return None if __name__ == '__main__': actor = BehaviorEstimate() actor.set({}) actor.has_messages(datetime(2015, 6, 3)) print actor.get()['next_crawl_time']
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666f2b1d836dc8b4fea2b9349128bcf7cba80097
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MisinformedDNA/pulumi-azure-nextgen
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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** 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 from ... import _utilities, _tables __all__ = [ 'GetContentItemResult', 'AwaitableGetContentItemResult', 'get_content_item', ] @pulumi.output_type class GetContentItemResult: """ Content type contract details. """ def __init__(__self__, name=None, type=None): if name and not isinstance(name, str): raise TypeError("Expected argument 'name' to be a str") pulumi.set(__self__, "name", name) if type and not isinstance(type, str): raise TypeError("Expected argument 'type' to be a str") pulumi.set(__self__, "type", type) @property @pulumi.getter def name(self) -> str: """ Resource name. """ return pulumi.get(self, "name") @property @pulumi.getter def type(self) -> str: """ Resource type for API Management resource. """ return pulumi.get(self, "type") class AwaitableGetContentItemResult(GetContentItemResult): # pylint: disable=using-constant-test def __await__(self): if False: yield self return GetContentItemResult( name=self.name, type=self.type) def get_content_item(content_item_id: Optional[str] = None, content_type_id: Optional[str] = None, resource_group_name: Optional[str] = None, service_name: Optional[str] = None, opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetContentItemResult: """ Use this data source to access information about an existing resource. :param str content_item_id: Content item identifier. :param str content_type_id: Content type identifier. :param str resource_group_name: The name of the resource group. :param str service_name: The name of the API Management service. """ __args__ = dict() __args__['contentItemId'] = content_item_id __args__['contentTypeId'] = content_type_id __args__['resourceGroupName'] = resource_group_name __args__['serviceName'] = service_name if opts is None: opts = pulumi.InvokeOptions() if opts.version is None: opts.version = _utilities.get_version() __ret__ = pulumi.runtime.invoke('azure-nextgen:apimanagement/v20191201:getContentItem', __args__, opts=opts, typ=GetContentItemResult).value return AwaitableGetContentItemResult( name=__ret__.name, type=__ret__.type)
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public@paulstack.co.uk
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/JOI/JOI_2007_Camp/JOI_2007_Camp_G.py
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# https://atcoder.jp/contests/joisc2007/submissions/17078836 # anagram - アナグラム (Anagram) import sys from collections import Counter sys.setrecursionlimit(10 ** 7) f_inf = float('inf') mod = 10 ** 9 + 7 def resolve(): S = input() n = len(S) D = Counter(S) fact = [1, 1] for i in range(2, n + 1): fact.append(fact[-1] * i) res = 1 for i in range(n): small = 0 dup = 1 for k, v in D.items(): if k < S[i]: small += v dup *= fact[v] res += small * fact[n - (i + 1)] // dup D[S[i]] -= 1 print(res) if __name__ == '__main__': resolve()
[ "happa_iidx@yahoo.co.jp" ]
happa_iidx@yahoo.co.jp
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/2019.05.14 - 팀프로젝트(3)/final_project/workspace/Movies/movies/admin.py
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ash92kr/s_code
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from django.contrib import admin from .models import Movie, Actor, Genre # Register your models here. class MovieAdmin(admin.ModelAdmin): list_display =['movie_name', 'time', 'year', 'nation', 'director', 'company',] admin.site.register(Movie, MovieAdmin) class ActorAdmin(admin.ModelAdmin): list_display =['actor_id', 'name',] admin.site.register(Actor, ActorAdmin) class GenreAdmin(admin.ModelAdmin): list_display =['name',] admin.site.register(Genre, GenreAdmin)
[ "ash92kr@gmail.com" ]
ash92kr@gmail.com
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/src/api/python/hce/app/LogFormatter.py
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hce-project/hce-bundle
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''' HCE project, Python bindings. Logging messages formatters classes. @package: dtm @author bgv bgv.hce@gmail.com @link: http://hierarchical-cluster-engine.com/ @copyright: Copyright &copy; 2013-2014 IOIX Ukraine @license: http://hierarchical-cluster-engine.com/license/ @since: 0.1 ''' ##Log formatter event, defines the object to format message string # #The LogFormatterEvent object used to create log message string representation according with special format. class LogFormatterEvent(object): OBJECT_DUMP_DELIMITER = "\n" MESSAGE_PREFIX = "" ##constructor #initialize fields # #@param event Event object instance to dump itself and eventObj inside #@param objectsList List of objects to dump # def __init__(self, event, objectsList, descriptionText): self.event = event self.objects = objectsList self.description = descriptionText def __str__(self): ret = self.MESSAGE_PREFIX + str(vars(self.event)) if self.event.eventObj and hasattr(self.event.eventObj, "__dict__"): ret = ret + self.OBJECT_DUMP_DELIMITER + str(vars(self.event.eventObj)) + self.OBJECT_DUMP_DELIMITER for obj in self.objects: ret = ret + self.OBJECT_DUMP_DELIMITER + str(vars(obj)) + self.OBJECT_DUMP_DELIMITER ret = ret + self.description + self.OBJECT_DUMP_DELIMITER return ret
[ "bgv@bgv-d9" ]
bgv@bgv-d9
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/Classify/mobilenet.py
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[]
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Interesting6/video_query
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from torch import nn # from .utils import load_state_dict_from_url __all__ = ['MobileNetV2', 'mobilenet_v2'] model_urls = { 'mobilenet_v2': 'https://download.pytorch.org/models/mobilenet_v2-b0353104.pth', } def _make_divisible(v, divisor, min_value=None): """ This function is taken from the original tf repo. It ensures that all layers have a channel number that is divisible by 8 It can be seen here: https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet/mobilenet.py :param v: :param divisor: :param min_value: :return: """ if min_value is None: min_value = divisor new_v = max(min_value, int(v + divisor / 2) // divisor * divisor) # Make sure that round down does not go down by more than 10%. if new_v < 0.9 * v: new_v += divisor return new_v class ConvBNReLU(nn.Sequential): def __init__(self, in_planes, out_planes, kernel_size=3, stride=1, groups=1): padding = (kernel_size - 1) // 2 super(ConvBNReLU, self).__init__( nn.Conv2d(in_planes, out_planes, kernel_size, stride, padding, groups=groups, bias=False), nn.BatchNorm2d(out_planes), nn.ReLU6(inplace=True) ) class InvertedResidual(nn.Module): def __init__(self, inp, oup, stride, expand_ratio): super(InvertedResidual, self).__init__() self.stride = stride assert stride in [1, 2] hidden_dim = int(round(inp * expand_ratio)) self.use_res_connect = self.stride == 1 and inp == oup layers = [] if expand_ratio != 1: # pw layers.append(ConvBNReLU(inp, hidden_dim, kernel_size=1)) layers.extend([ # dw ConvBNReLU(hidden_dim, hidden_dim, stride=stride, groups=hidden_dim), # pw-linear nn.Conv2d(hidden_dim, oup, 1, 1, 0, bias=False), nn.BatchNorm2d(oup), ]) self.conv = nn.Sequential(*layers) def forward(self, x): if self.use_res_connect: return x + self.conv(x) else: return self.conv(x) class MobileNetV2(nn.Module): def __init__(self, num_classes=1000, width_mult=1.0, inverted_residual_setting=None, round_nearest=8, block=None): """ MobileNet V2 main class Args: num_classes (int): Number of classes width_mult (float): Width multiplier - adjusts number of channels in each layer by this amount inverted_residual_setting: Network structure round_nearest (int): Round the number of channels in each layer to be a multiple of this number Set to 1 to turn off rounding block: Module specifying inverted residual building block for mobilenet """ super(MobileNetV2, self).__init__() if block is None: block = InvertedResidual input_channel = 32 last_channel = 1280 if inverted_residual_setting is None: inverted_residual_setting = [ # t, c, n, s [1, 16, 1, 1], [6, 24, 2, 2], [6, 32, 3, 2], [6, 64, 4, 2], [6, 96, 3, 1], [6, 160, 3, 2], [6, 320, 1, 1], ] # only check the first element, assuming user knows t,c,n,s are required if len(inverted_residual_setting) == 0 or len(inverted_residual_setting[0]) != 4: raise ValueError("inverted_residual_setting should be non-empty " "or a 4-element list, got {}".format(inverted_residual_setting)) # building first layer input_channel = _make_divisible(input_channel * width_mult, round_nearest) self.last_channel = _make_divisible(last_channel * max(1.0, width_mult), round_nearest) features = [ConvBNReLU(3, input_channel, stride=2)] # building inverted residual blocks for t, c, n, s in inverted_residual_setting: output_channel = _make_divisible(c * width_mult, round_nearest) for i in range(n): stride = s if i == 0 else 1 features.append(block(input_channel, output_channel, stride, expand_ratio=t)) input_channel = output_channel # building last several layers features.append(ConvBNReLU(input_channel, self.last_channel, kernel_size=1)) # make it nn.Sequential self.features = nn.Sequential(*features) # building classifier self.classifier = nn.Sequential( nn.Dropout(0.2), nn.Linear(self.last_channel, num_classes), ) # weight initialization for m in self.modules(): if isinstance(m, nn.Conv2d): nn.init.kaiming_normal_(m.weight, mode='fan_out') if m.bias is not None: nn.init.zeros_(m.bias) elif isinstance(m, nn.BatchNorm2d): nn.init.ones_(m.weight) nn.init.zeros_(m.bias) elif isinstance(m, nn.Linear): nn.init.normal_(m.weight, 0, 0.01) nn.init.zeros_(m.bias) def _forward_impl(self, x): # This exists since TorchScript doesn't support inheritance, so the superclass method # (this one) needs to have a name other than `forward` that can be accessed in a subclass x = self.features(x) x = x.mean([2, 3]) x = self.classifier(x) return x def forward(self, x): return self._forward_impl(x) def mobilenet_v2(pretrained=False, progress=True, **kwargs): """ Constructs a MobileNetV2 architecture from `"MobileNetV2: Inverted Residuals and Linear Bottlenecks" <https://arxiv.org/abs/1801.04381>`_. Args: pretrained (bool): If True, returns a model pre-trained on ImageNet progress (bool): If True, displays a progress bar of the download to stderr """ model = MobileNetV2(**kwargs) if pretrained: state_dict = load_state_dict_from_url(model_urls['mobilenet_v2'], progress=progress) model.load_state_dict(state_dict) return model
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cym1106515697@outlook.com
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/tests/opcodes/cases/test_set_car_201.py
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tqtezos/pytezos
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2021-07-10T12:24:24.069256
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2020-04-04T12:46:24
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from unittest import TestCase from tests import abspath from pytezos.repl.interpreter import Interpreter from pytezos.michelson.converter import michelson_to_micheline from pytezos.repl.parser import parse_expression class OpcodeTestset_car_201(TestCase): def setUp(self): self.maxDiff = None self.i = Interpreter(debug=True) def test_opcode_set_car_201(self): res = self.i.execute(f'INCLUDE "{abspath("opcodes/contracts/set_car.tz")}"') self.assertTrue(res['success']) res = self.i.execute('RUN "world" (Pair "hello" 0)') self.assertTrue(res['success']) exp_val_expr = michelson_to_micheline('(Pair "world" 0)') exp_val = parse_expression(exp_val_expr, res['result']['storage'].type_expr) self.assertEqual(exp_val, res['result']['storage']._val)
[ "mz@baking-bad.org" ]
mz@baking-bad.org
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[ "BSD-3-Clause", "LicenseRef-scancode-unknown-license-reference", "LGPL-2.0-or-later", "GPL-1.0-or-later", "MIT", "Apache-2.0" ]
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zenoalbisser/chromium
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# Copyright 2015 The Chromium OS Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. """Helper script to deploy the cq_stats app to our appengine instances.""" from __future__ import print_function import os import time from chromite.lib import commandline from chromite.lib import cros_build_lib from chromite.lib import cros_logging as logging from chromite.lib import osutils APP_INSTANCE_DEBUG = 'debug' APP_INSTANCE_PROD = 'prod' APP_INSTANCE_NAME = { APP_INSTANCE_DEBUG: 'google.com:chromiumos-build-annotator-dbg', APP_INSTANCE_PROD: 'google.com:chromiumos-build-annotator', } APP_INSTANCE_CIDB = { APP_INSTANCE_DEBUG: 'debug-cidb', APP_INSTANCE_PROD: 'cidb', } def _GetParser(): """Get parser for deploy_app cli. Returns: commandline.ArgumentParser object to parse the commandline args. """ parser = commandline.ArgumentParser() parser.add_argument('instance', type=str, choices=(APP_INSTANCE_DEBUG, APP_INSTANCE_PROD), help='The app instance to deploy to') parser.add_argument('--secret-key', type=str, required=True, help='The secret key to sign django cookies.') return parser def _GetDeploySettings(options): """The autogenerated part of django settings. Returns: python "code" as str to be written to the settings file. """ content = [ '# DO NOT EDIT! Autogenerated by %s.' % os.path.basename(__file__), 'DEBUG = False', 'TEMPLATE_DEBUG = False', 'SECRET_KEY = "%s"' % options.secret_key, 'CIDB_PROJECT_NAME = "cosmic-strategy-646"', 'CIDB_INSTANCE_NAME = "%s"' % APP_INSTANCE_CIDB[options.instance], ] return '\n'.join(content) def _DeployApp(basedir): """Deploy the prepared app from basedir. Args: basedir: The base directory where the app has already been prepped. """ cros_build_lib.RunCommand( ['./ae_shell', 'cq_stats', '--', 'python', 'cq_stats/manage.py', 'collectstatic', '--noinput'], cwd=basedir) # Remove sensetive files that are needed to run tools locally to prepare the # deploy directory, but that we don't want to push to AE. cidb_cred_path = os.path.join(basedir, 'cq_stats', 'annotator_cidb_creds') osutils.SafeUnlink(os.path.join(cidb_cred_path, 'client-cert.pem')) osutils.SafeUnlink(os.path.join(cidb_cred_path, 'client-key.pem')) osutils.SafeUnlink(os.path.join(cidb_cred_path, 'server-ca.pem')) cros_build_lib.RunCommand( ['./ae_shell', 'cq_stats', '--', 'appcfg.py', '--oauth2', 'update', 'cq_stats'], cwd=basedir) def _Hang(tempdir): """How else will you ever work on this script? Args: tempdir: The directory prepared for deploying the app. """ logging.info('All the real stuff\'s done. Tempdir: %s', tempdir) while True: logging.info('Sleeping... Hit Ctrl-C to exit.') time.sleep(30) def main(argv): parser = _GetParser() options = parser.parse_args(argv) options.Freeze() with osutils.TempDir() as tempdir: # This is rsync in 'archive' mode, but symlinks are followed to copy actual # files/directories. rsync_cmd = ['rsync', '-qrLgotD', '--exclude=\'*/*.pyc\''] chromite_dir = os.path.dirname( os.path.dirname( os.path.dirname( os.path.abspath(__file__)))) cmd = rsync_cmd + [ 'chromite/appengine/', tempdir, '--exclude=google_appengine_*', ] cros_build_lib.RunCommand(cmd, cwd=os.path.dirname(chromite_dir)) cmd = rsync_cmd + [ 'chromite', os.path.join(tempdir, 'cq_stats'), '--exclude=appengine', '--exclude=third_party', '--exclude=ssh_keys', '--exclude=contrib', '--exclude=.git', ] cros_build_lib.RunCommand(cmd, cwd=os.path.dirname(chromite_dir)) osutils.WriteFile(os.path.join(tempdir, 'cq_stats', 'cq_stats', 'deploy_settings.py'), _GetDeploySettings(options)) # update the instance we're updating. # Use absolute path. Let's not update sourcedir by mistake. app_yaml_path = os.path.join(tempdir, 'cq_stats', 'app.yaml') regex = (r's/^application:[ \t]*[a-zA-Z0-9_-\.:]\+[ \t]*$' '/application: %s/') cmd = [ 'sed', '-i', '-e', regex % APP_INSTANCE_NAME[options.instance], app_yaml_path, ] cros_build_lib.RunCommand(cmd, cwd=tempdir) _DeployApp(tempdir) # _Hang(tempdir)
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''' 有效字母的异位词 242. Valid Anagram:https://leetcode.com/problems/valid-anagram/description/ 思路:利用两个哈希表分别记录两个字符串中每个字母的数量,然后再判断这两个哈希表是否相等 ''' class Solution: def isAnagram(self, s, t): """ :type s: str :type t: str :rtype: bool """ hash_map1, hash_map2 = {}, {} for c in s: if c not in hash_map1: hash_map1[c] = 1 else: hash_map1[c] += 1 for c in t: if c not in hash_map2: hash_map2[c] = 1 else: hash_map2[c] += 1 return hash_map1 == hash_map2 def isAnagram_01(self, s, t): hash_map1, hash_map2 = {}, {} for c in s: hash_map1[c] = hash_map1.get(c, 0) + 1 for c in t: hash_map2[c] = hash_map2.get(c, 0) + 1 return hash_map1 == hash_map2 def isAnagram_02(self, s, t): hash_map1, hash_map2 = [0] * 26, [0] * 26 for c in s: hash_map1[ord(c) - ord('a')] += 1 for c in t: hash_map2[ord(c) - ord('a')] += 1 return hash_map1 == hash_map2 s = 'abcd' t = 'bdca' solution = Solution() flag = solution.isAnagram(s, t) print(flag) flag = solution.isAnagram_01(s, t) print(flag) flag = solution.isAnagram_02(s, t) print(flag)
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N, M = map(int, input().split()) edges = [None]*M INF = 10**18 for i in range(M): a, b, c = map(int, input().split()) edges[i] = (a-1, b-1, -c) def bellman(n, edges, r): d = [INF] * n d[r] = 0 for i in range(n): for (u, v, c) in edges: if(d[u] != INF and d[u]+c < d[v]): d[v] = d[u] + c if(i == n-1 and v == n-1): return "inf" return -d[-1] ans = bellman(N, edges, 0) print(ans)
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#!/usr/bin/env python import unittest from test_crypto import TestCrypto from fukei.utils import log_config if __name__ == '__main__': log_config('test', True) unittest.main(verbosity=2)
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# -*- coding: utf-8 -*- from typing import Union class HeaderNode: """跳表头节点""" def __init__(self): self.__down: Union[HeaderNode, DataNode, None] = None self.__next: Union[DataNode, None] = None @property def down(self): return self.__down @down.setter def down(self, node): self.__down = node @property def next(self): return self.__next @next.setter def next(self, node): self.__next = node class DataNode(HeaderNode): """数据节点""" def __init__(self, key, val): super().__init__() self.__key = key self.__val = val @property def key(self): return self.__key @property def value(self): return self.__val @value.setter def value(self, val): self.__val = val
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2435128850@qq.com
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/azure-mgmt-compute/azure/mgmt/compute/v2019_03_01/models/compute_operation_value_paged.py
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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.paging import Paged class ComputeOperationValuePaged(Paged): """ A paging container for iterating over a list of :class:`ComputeOperationValue <azure.mgmt.compute.v2019_03_01.models.ComputeOperationValue>` object """ _attribute_map = { 'next_link': {'key': 'nextLink', 'type': 'str'}, 'current_page': {'key': 'value', 'type': '[ComputeOperationValue]'} } def __init__(self, *args, **kwargs): super(ComputeOperationValuePaged, self).__init__(*args, **kwargs)
[ "lmazuel@microsoft.com" ]
lmazuel@microsoft.com
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/CSV/csv_ex1.py
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RamiJaloudi/Python-Scripts
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# From csv.py def next(self): if self.line_num == 0: # Used only for its side effect. self.fieldnames row = self.reader.next() self.line_num = self.reader.line_num # unlike the basic reader, we prefer not to return blanks, # because we will typically wind up with a dict full of None # values while row == []: row = self.reader.next() d = dict(zip(self.fieldnames, row)) lf = len(self.fieldnames) lr = len(row) if lf < lr: d[self.restkey] = row[lf:] elif lf > lr: for key in self.fieldnames[lr:]: d[key] = self.restval return d
[ "rjaloudi@gmail.com" ]
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import torch from .base_sampler import BaseSampler from .sampling_result import SamplingResult class PseudoSampler(BaseSampler): def __init__(self): pass def _sample_pos(self): raise NotImplementedError def _sample_neg(self): raise NotImplementedError def sample(self, assign_result, bboxes, gt_bboxes): pos_inds = torch.nonzero( assign_result.gt_inds > 0).squeeze(-1).unique() neg_inds = torch.nonzero( assign_result.gt_inds == 0).squeeze(-1).unique() gt_flags = bboxes.new_zeros(bboxes.shape[0], dtype=torch.uint8) sampling_result = SamplingResult(pos_inds, neg_inds, bboxes, gt_bboxes, assign_result, gt_flags) return sampling_result
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import unittest, random, sys, time sys.path.extend(['.','..','py']) import h2o, h2o_cmd, h2o_hosts, h2o_import as h2i class Basic(unittest.TestCase): def tearDown(self): h2o.check_sandbox_for_errors() @classmethod def setUpClass(cls): global localhost localhost = h2o.decide_if_localhost() if (localhost): h2o.build_cloud() else: h2o_hosts.build_cloud_with_hosts() @classmethod def tearDownClass(cls): h2o.tear_down_cloud() def test_mixed_causes_NA(self): csvFilename = 'mixed_causes_NA.csv' parseResult = h2i.import_parse(bucket='smalldata', path=csvFilename, timeoutSecs=15, schema='put') inspect = h2o_cmd.runInspect(None, parseResult['destination_key']) missingValuesList = h2o_cmd.infoFromInspect(inspect, csvFilename) print missingValuesList self.assertEqual(sum(missingValuesList), 0, "Single column of data with mixed number/string should not have NAs") if __name__ == '__main__': h2o.unit_main()
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kevin@0xdata.com
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#calss header class _STUDDING(): def __init__(self,): self.name = "STUDDING" self.definitions = stud self.parents = [] self.childen = [] self.properties = [] self.jsondata = {} self.basic = ['stud']
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joao-conde/competitive-programming
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# https://leetcode.com/problems/design-add-and-search-words-data-structure/ class Trie: def __init__(self) -> None: self.terminal = False self.children = dict() class WordDictionary: def __init__(self): self.root = Trie() def addWord(self, word: str) -> None: cur = self.root for c in word: if c not in cur.children: cur.children[c] = Trie() cur = cur.children[c] cur.terminal = True def search(self, word: str) -> bool: return self.search_dfs(self.root, word) def search_dfs(self, cur: Trie, word: str) -> bool: if len(word) == 0: return cur.terminal c = word[0] if c == ".": terminal = False for child in cur.children.values(): terminal = terminal or self.search_dfs(child, word[1:]) return terminal if c not in cur.children: return False return self.search_dfs(cur.children[c], word[1:]) # Tests word_dict = WordDictionary() word_dict.addWord("bad") word_dict.addWord("dad") word_dict.addWord("mad") assert word_dict.search("pad") == False assert word_dict.search("bad") == True assert word_dict.search(".ad") == True assert word_dict.search("b..") == True
[ "joaodiasconde@gmail.com" ]
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# -*- coding: utf-8 -*- # Generated by Django 1.10.1 on 2016-10-26 10:04 from __future__ import unicode_literals import django.core.files.storage from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='ImageObj', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('image_original', models.ImageField(storage=django.core.files.storage.FileSystemStorage(location='media/'), upload_to='')), ], ), ]
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import argparse parser = argparse.ArgumentParser() parser.add_argument("x", type=int, help="The Base") parser.add_argument("y", type=int, help="The Exponent") parser.add_argument("-v", "--verbosity", action="count", default=0, help="Increase Output Verbosity") args = parser.parse_args() answer = args.x**args.y if args.verbosity >= 2: print(f"{args.x} to the power {args.y} equals {answer}") elif args.verbosity >= 1: print(f"{args.x}^{args.y} == {answer} ") else: print(answer)
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[]
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from collections import namedtuple # a good compromise between tuple and dictionary color = {'red': 55, 'green': 155, 'blue': 255} print('Using dictionary for color', color['red']) Color = namedtuple('Color', ['red', 'green', 'blue']) color = Color(55, 155, 255) white = Color(255, 255, 255) print('Using namedtuple for color', color[0]) print('Using namedtuple for color', color.red) # making the code more readable print(white.blue)
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card = dict() for tmp in map(int, __import__('sys').stdin.read().split()[1:]): if tmp not in card:card[tmp] = 1 else:card[tmp] += 1 print(sorted(card.items(), key=lambda a: (-a[1], a[0]))[0][0])
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# Copyright The PyTorch Lightning team. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Test deprecated functionality which will be removed in vX.Y.Z.""" import sys from contextlib import contextmanager from typing import Optional, Type import pytest def _soft_unimport_module(str_module): # once the module is imported e.g with parsing with pytest it lives in memory if str_module in sys.modules: del sys.modules[str_module] @contextmanager def no_warning_call(expected_warning: Type[Warning] = UserWarning, match: Optional[str] = None): with pytest.warns(None) as record: yield if match is None: try: w = record.pop(expected_warning) except AssertionError: # no warning raised return else: for w in record.list: if w.category is expected_warning and match in w.message.args[0]: break else: return msg = "A warning" if expected_warning is None else f"`{expected_warning.__name__}`" raise AssertionError(f"{msg} was raised: {w}") @contextmanager def no_deprecated_call(match: Optional[str] = None): with no_warning_call(expected_warning=DeprecationWarning, match=match): yield
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